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diff --git a/EW_scenarios_MMH/.ipynb_checkpoints/5_Postprocess_flat_EW-checkpoint.ipynb b/EW_scenarios_MMH/.ipynb_checkpoints/5_Postprocess_flat_EW-checkpoint.ipynb
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@@ -0,0 +1,3744 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/home/walch/.local/lib/python3.6/site-packages/dask/config.py:129: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.\n",
+ " data = yaml.load(f.read()) or {}\n",
+ "/home/walch/.local/lib/python3.6/site-packages/distributed/config.py:20: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.\n",
+ " defaults = yaml.load(f)\n"
+ ]
+ }
+ ],
+ "source": [
+ "import pandas as pd\n",
+ "import xarray as xr\n",
+ "import numpy as np\n",
+ "\n",
+ "import os\n",
+ "import time\n",
+ "\n",
+ "from pvlib.tools import cosd\n",
+ "\n",
+ "%matplotlib notebook\n",
+ "import matplotlib.pyplot as plt\n",
+ "import calendar"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "base_fp = '/scratch/walch/workdir_solar_MMH_base/files_MMH_base/' # '/work/hyenergy/output/solar_potential/technical_potential'\n",
+ "EW_path = '/scratch/walch/workdir_solar_EW_scenarios_MMH'"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "YEARS = [2010, 2016, 2017, 2018, 2019]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Load annual files and replace with new roofs"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "ROOF_FP = '/work/hyenergy/output/solar_potential/geographic_potential/CH_ROOFS_all_replaced.csv'\n",
+ "roofs = pd.read_csv( ROOF_FP, usecols = ['DF_UID', 'NEIGUNG', 'AUSRICHTUNG'] ).set_index('DF_UID')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/home/walch/miniconda3/envs/py3_geo/lib/python3.6/site-packages/numpy/lib/arraysetops.py:569: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
+ " mask |= (ar1 == a)\n"
+ ]
+ }
+ ],
+ "source": [
+ "annual_roofs = pd.read_csv( os.path.join(base_fp, 'MMH_base_annual_roofs_flat.csv' ), index_col = 0 )\n",
+ "flat_roofs = pd.read_csv( os.path.join(EW_path, 'files_MMH', 'MMH_annual_roofs_flat.csv' ), \n",
+ " index_col = 0 )"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "annual_roofs = annual_roofs.merge(roofs, right_index = True, left_index = True)"
+ ]
+ },
+ {
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+ " <td>2886.0</td>\n",
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+ " <td>1207.09130</td>\n",
+ " <td>32131.07800</td>\n",
+ " <td>0</td>\n",
+ " <td>0.0</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " available_area BFS_NUMMER suitable Gt_kWh_m2 EPV_kWh \\\n",
+ "DF_UID \n",
+ "7 2.115733 2823.0 0 1035.63270 303.56158 \n",
+ "33 6.049142 2823.0 0 910.40090 872.53613 \n",
+ "49 15.384748 2887.0 0 826.21826 1761.91240 \n",
+ "50 195.664046 2886.0 1 1265.25380 39211.78000 \n",
+ "51 167.634762 2886.0 1 1207.09130 32131.07800 \n",
+ "\n",
+ " NEIGUNG AUSRICHTUNG \n",
+ "DF_UID \n",
+ "7 9 -81.0 \n",
+ "33 0 0.0 \n",
+ "49 9 119.0 \n",
+ "50 0 0.0 \n",
+ "51 0 0.0 "
+ ]
+ },
+ "execution_count": 7,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "annual_roofs.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [
+ {
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+ " <th>BFS_NUMMER</th>\n",
+ " <th>suitable</th>\n",
+ " <th>Gt_kWh_m2</th>\n",
+ " <th>EPV_kWh</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>DF_UID</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
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+ ],
+ "text/plain": [
+ " available_area BFS_NUMMER suitable Gt_kWh_m2 EPV_kWh\n",
+ "DF_UID \n",
+ "7 2.115733 2823.0 0 971.50073 285.93964\n",
+ "33 12.098284 2823.0 1 779.19520 1333.53380\n",
+ "49 15.384748 2887.0 1 864.62305 1854.49840\n",
+ "50 391.328091 2886.0 1 1084.63280 59984.99000\n",
+ "51 335.269524 2886.0 1 1032.63990 49039.25800"
+ ]
+ },
+ "execution_count": 8,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "flat_roofs.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "baseline = xr.open_mfdataset(os.path.join(base_fp, '*.nc'))\n",
+ "base_sel = baseline.sel(DF_UID = baseline.DF_UID.isin(flat_roofs.index))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
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+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>yearly_PV_kWh</th>\n",
+ " <th>yearly_kWh_m2</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>DF_UID</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>7</th>\n",
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+ " <tr>\n",
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+ " <th>49</th>\n",
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+ " </tr>\n",
+ " <tr>\n",
+ " <th>50</th>\n",
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+ " <td>1207.091309</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>...</th>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
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+ " <td>1104.991943</td>\n",
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+ " <th>9890020</th>\n",
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+ " <td>975.792725</td>\n",
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+ " <td>900.313049</td>\n",
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+ " <td>914.135376</td>\n",
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+ " <td>10378.278320</td>\n",
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+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>1888387 rows × 2 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " yearly_PV_kWh yearly_kWh_m2\n",
+ "DF_UID \n",
+ "7 303.561584 1035.632690\n",
+ "33 872.536133 910.400879\n",
+ "49 1761.912354 826.218262\n",
+ "50 39211.781250 1265.253784\n",
+ "51 32131.078125 1207.091309\n",
+ "... ... ...\n",
+ "9890002 0.000000 1104.991943\n",
+ "9890020 1079.234985 975.792725\n",
+ "9890021 204.145859 900.313049\n",
+ "9890022 22877.785156 914.135376\n",
+ "9890023 10378.278320 940.532776\n",
+ "\n",
+ "[1888387 rows x 2 columns]"
+ ]
+ },
+ "execution_count": 10,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "base_sel[['yearly_PV_kWh', 'yearly_kWh_m2']].to_dataframe()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Compute difference in potential"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/home/walch/miniconda3/envs/py3_geo/lib/python3.6/site-packages/numpy/lib/arraysetops.py:569: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
+ " mask |= (ar1 == a)\n"
+ ]
+ }
+ ],
+ "source": [
+ "fp = '/work/hyenergy/output/solar_potential/technical_potential'\n",
+ "V0_estim = pd.read_csv( os.path.join(fp, 'pv_potential_annual_shared_v2.csv' ), index_col = 0 )"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "V0_estim['suitable'] = ((V0_estim.available_area >= 8) & (abs(roofs.AUSRICHTUNG) <= 90)).astype(int)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "V0_estim['PV_suitable_kWh'] = V0_estim.suitable * V0_estim.pv_potential_kWh_a"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "24.579204950538372"
+ ]
+ },
+ "execution_count": 14,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "V0_estim.PV_suitable_kWh.sum() / 1e9"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Check hypotheses"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "8.080218603324699"
+ ]
+ },
+ "execution_count": 15,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "V0_estim.loc[annual_roofs.index].PV_suitable_kWh.sum() / 1e9"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "8.939524273593712"
+ ]
+ },
+ "execution_count": 16,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "(annual_roofs.suitable * annual_roofs.EPV_kWh).sum() / 1e9"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "14.59903168334689"
+ ]
+ },
+ "execution_count": 17,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "(flat_roofs.suitable * flat_roofs.EPV_kWh).sum() / 1e9"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "5.584694484420076"
+ ]
+ },
+ "execution_count": 18,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "V0_estim[roofs.NEIGUNG == 0].PV_suitable_kWh.sum() / 1e9"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "6.448646721159863"
+ ]
+ },
+ "execution_count": 19,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "V0_estim[roofs.NEIGUNG == 0].PV_suitable_kWh.sum() / 1e9 * 1.1547 # 1/cos(30)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "8.082973448201894"
+ ]
+ },
+ "execution_count": 20,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "V0_estim[roofs.NEIGUNG <= 10].PV_suitable_kWh.sum() / 1e9"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "10.567956204648596"
+ ]
+ },
+ "execution_count": 21,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "V0_estim[roofs.NEIGUNG <= 10].pv_potential_kWh_a.sum() / 1e9"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Load hourly data"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
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+ "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+ "Dimensions: (DF_UID: 1888887, timestamp: 148)\n",
+ "Coordinates:\n",
+ " * DF_UID (DF_UID) int64 7 33 49 50 ... 9890021 9890022 9890023\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T08:00:00 ... 200...\n",
+ "Data variables:\n",
+ " pv_potential (DF_UID, timestamp) float32 dask.array&lt;chunksize=(1888887, 148), meta=np.ndarray&gt;\n",
+ " tilted_irradiance (DF_UID, timestamp) float32 dask.array&lt;chunksize=(1888887, 148), meta=np.ndarray&gt;</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-679cc99e-840a-4851-8515-2e2e04ac9331' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-679cc99e-840a-4851-8515-2e2e04ac9331' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>DF_UID</span>: 1888887</li><li><span class='xr-has-index'>timestamp</span>: 148</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-92323371-30bc-46a5-b388-fd502f3e26b2' class='xr-section-summary-in' type='checkbox' checked><label for='section-92323371-30bc-46a5-b388-fd502f3e26b2' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>DF_UID</span></div><div class='xr-var-dims'>(DF_UID)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>7 33 49 ... 9890021 9890022 9890023</div><input id='attrs-1f11f923-3a3f-481e-8d59-6af1d07ecd47' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1f11f923-3a3f-481e-8d59-6af1d07ecd47' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c95397ed-c30a-416f-9806-3856beee0d23' class='xr-var-data-in' type='checkbox'><label for='data-c95397ed-c30a-416f-9806-3856beee0d23' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 7, 33, 49, ..., 9890021, 9890022, 9890023])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>timestamp</span></div><div class='xr-var-dims'>(timestamp)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2001-01-15T08:00:00 ... 2001-12-...</div><input id='attrs-0b57515e-038a-4e82-b4aa-41f6a738e8fc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0b57515e-038a-4e82-b4aa-41f6a738e8fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d75d398-affb-4532-b1e0-2ea7fb9e21b6' class='xr-var-data-in' type='checkbox'><label for='data-9d75d398-affb-4532-b1e0-2ea7fb9e21b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2001-01-15T08:00:00.000000000&#x27;, &#x27;2001-01-15T09:00:00.000000000&#x27;,\n",
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+ " &#x27;2001-07-15T06:00:00.000000000&#x27;, &#x27;2001-07-15T07:00:00.000000000&#x27;,\n",
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+ " &#x27;2001-07-15T12:00:00.000000000&#x27;, &#x27;2001-07-15T13:00:00.000000000&#x27;,\n",
+ " &#x27;2001-07-15T14:00:00.000000000&#x27;, &#x27;2001-07-15T15:00:00.000000000&#x27;,\n",
+ " &#x27;2001-07-15T16:00:00.000000000&#x27;, &#x27;2001-07-15T17:00:00.000000000&#x27;,\n",
+ " &#x27;2001-07-15T18:00:00.000000000&#x27;, &#x27;2001-07-15T19:00:00.000000000&#x27;,\n",
+ " &#x27;2001-08-15T05:00:00.000000000&#x27;, &#x27;2001-08-15T06:00:00.000000000&#x27;,\n",
+ " &#x27;2001-08-15T07:00:00.000000000&#x27;, &#x27;2001-08-15T08:00:00.000000000&#x27;,\n",
+ " &#x27;2001-08-15T09:00:00.000000000&#x27;, &#x27;2001-08-15T10:00:00.000000000&#x27;,\n",
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+ " &#x27;2001-08-15T15:00:00.000000000&#x27;, &#x27;2001-08-15T16:00:00.000000000&#x27;,\n",
+ " &#x27;2001-08-15T17:00:00.000000000&#x27;, &#x27;2001-08-15T18:00:00.000000000&#x27;,\n",
+ " &#x27;2001-09-15T05:00:00.000000000&#x27;, &#x27;2001-09-15T06:00:00.000000000&#x27;,\n",
+ " &#x27;2001-09-15T07:00:00.000000000&#x27;, &#x27;2001-09-15T08:00:00.000000000&#x27;,\n",
+ " &#x27;2001-09-15T09:00:00.000000000&#x27;, &#x27;2001-09-15T10:00:00.000000000&#x27;,\n",
+ " &#x27;2001-09-15T11:00:00.000000000&#x27;, &#x27;2001-09-15T12:00:00.000000000&#x27;,\n",
+ " &#x27;2001-09-15T13:00:00.000000000&#x27;, &#x27;2001-09-15T14:00:00.000000000&#x27;,\n",
+ " &#x27;2001-09-15T15:00:00.000000000&#x27;, &#x27;2001-09-15T16:00:00.000000000&#x27;,\n",
+ " &#x27;2001-09-15T17:00:00.000000000&#x27;, &#x27;2001-10-15T06:00:00.000000000&#x27;,\n",
+ " &#x27;2001-10-15T07:00:00.000000000&#x27;, &#x27;2001-10-15T08:00:00.000000000&#x27;,\n",
+ " &#x27;2001-10-15T09:00:00.000000000&#x27;, &#x27;2001-10-15T10:00:00.000000000&#x27;,\n",
+ " &#x27;2001-10-15T11:00:00.000000000&#x27;, &#x27;2001-10-15T12:00:00.000000000&#x27;,\n",
+ " &#x27;2001-10-15T13:00:00.000000000&#x27;, &#x27;2001-10-15T14:00:00.000000000&#x27;,\n",
+ " &#x27;2001-10-15T15:00:00.000000000&#x27;, &#x27;2001-10-15T16:00:00.000000000&#x27;,\n",
+ " &#x27;2001-11-15T07:00:00.000000000&#x27;, &#x27;2001-11-15T08:00:00.000000000&#x27;,\n",
+ " &#x27;2001-11-15T09:00:00.000000000&#x27;, &#x27;2001-11-15T10:00:00.000000000&#x27;,\n",
+ " &#x27;2001-11-15T11:00:00.000000000&#x27;, &#x27;2001-11-15T12:00:00.000000000&#x27;,\n",
+ " &#x27;2001-11-15T13:00:00.000000000&#x27;, &#x27;2001-11-15T14:00:00.000000000&#x27;,\n",
+ " &#x27;2001-11-15T15:00:00.000000000&#x27;, &#x27;2001-12-15T07:00:00.000000000&#x27;,\n",
+ " &#x27;2001-12-15T08:00:00.000000000&#x27;, &#x27;2001-12-15T09:00:00.000000000&#x27;,\n",
+ " &#x27;2001-12-15T10:00:00.000000000&#x27;, &#x27;2001-12-15T11:00:00.000000000&#x27;,\n",
+ " &#x27;2001-12-15T12:00:00.000000000&#x27;, &#x27;2001-12-15T13:00:00.000000000&#x27;,\n",
+ " &#x27;2001-12-15T14:00:00.000000000&#x27;, &#x27;2001-12-15T15:00:00.000000000&#x27;],\n",
+ " dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9703c7cc-c96c-401d-b747-bca9f8e09ae2' class='xr-section-summary-in' type='checkbox' checked><label for='section-9703c7cc-c96c-401d-b747-bca9f8e09ae2' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>pv_potential</span></div><div class='xr-var-dims'>(DF_UID, timestamp)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1888887, 148), meta=np.ndarray&gt;</div><input id='attrs-5d68a3fa-12d6-4d86-90bf-5489f5246543' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5d68a3fa-12d6-4d86-90bf-5489f5246543' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ab4539a-ea69-4217-9223-7b19510825d2' class='xr-var-data-in' type='checkbox'><label for='data-9ab4539a-ea69-4217-9223-7b19510825d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>dask.array&lt;open_dataset-72c225c5f0bde769ecc8eefde5880015pv_potential, shape=(1888887, 148), dtype=float32, chunksize=(1888887, 148)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tilted_irradiance</span></div><div class='xr-var-dims'>(DF_UID, timestamp)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1888887, 148), meta=np.ndarray&gt;</div><input id='attrs-eca2953a-74c7-40a2-ac72-35104ae74116' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-eca2953a-74c7-40a2-ac72-35104ae74116' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4d7d3aa-44e8-4fef-a307-58cb14d511cb' class='xr-var-data-in' type='checkbox'><label for='data-f4d7d3aa-44e8-4fef-a307-58cb14d511cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>dask.array&lt;open_dataset-eb818b4400fc044edde25c5ec315c291tilted_irradiance, shape=(1888887, 148), dtype=float32, chunksize=(1888887, 148)&gt;</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-551394f5-4dba-4cd2-8aaf-de6bd7eafc43' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-551394f5-4dba-4cd2-8aaf-de6bd7eafc43' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+ ],
+ "text/plain": [
+ "<xarray.Dataset>\n",
+ "Dimensions: (DF_UID: 1888887, timestamp: 148)\n",
+ "Coordinates:\n",
+ " * DF_UID (DF_UID) int64 7 33 49 50 ... 9890021 9890022 9890023\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T08:00:00 ... 200...\n",
+ "Data variables:\n",
+ " pv_potential (DF_UID, timestamp) float32 dask.array<chunksize=(1888887, 148), meta=np.ndarray>\n",
+ " tilted_irradiance (DF_UID, timestamp) float32 dask.array<chunksize=(1888887, 148), meta=np.ndarray>"
+ ]
+ },
+ "execution_count": 22,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "EW_hourly = xr.open_mfdataset(os.path.join(EW_path, 'files_MMH', '*.nc'))[['pv_potential', 'tilted_irradiance']]\n",
+ "EW_hourly"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "base_hourly = base_sel[['pv_potential', 'tilted_irradiance']]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "cmp_ID = 49\n",
+ "data_hourly_sel = EW_hourly.sel(DF_UID = cmp_ID).drop('DF_UID')\n",
+ "base_hourly_sel = base_hourly.sel(DF_UID = cmp_ID).drop('DF_UID')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 28,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "data_hourly_sel.coords['timestamp'] = (data_hourly_sel.timestamp.dt.month-1) * 24 + data_hourly_sel.timestamp.dt.hour\n",
+ "data_hourly_sel = xr.merge([xr.DataArray(coords = {'timestamp' : range(288)}, dims = ['timestamp'] ).rename('dummy'),\n",
+ " data_hourly_sel ] ).fillna(0)\n",
+ "\n",
+ "base_hourly_sel.coords['timestamp'] = (base_hourly_sel.timestamp.dt.month-1) * 24 + base_hourly_sel.timestamp.dt.hour\n",
+ "base_hourly_sel = xr.merge([xr.DataArray(coords = {'timestamp' : range(288)}, dims = ['timestamp'] ).rename('dummy'),\n",
+ " base_hourly_sel ] ).fillna(0)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 29,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
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+ " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
+ " 'Firefox 4 and 5 are also supported but you ' +\n",
+ " 'have to enable WebSockets in about:config.');\n",
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+ "\tthis.context.oBackingStorePixelRatio ||\n",
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+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
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+ " // canvas in synch.\n",
+ " canvas_div.css('width', width)\n",
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+ " // upon first draw.\n",
+ " this._resize_canvas(600, 600);\n",
+ "\n",
+ " // Disable right mouse context menu.\n",
+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
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+ " canvas.focus();\n",
+ " canvas_div.focus();\n",
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+ "\n",
+ " window.setTimeout(set_focus, 100);\n",
+ "}\n",
+ "\n",
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+ " var fig = this;\n",
+ "\n",
+ " var nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
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+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\n",
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+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
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+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
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+ " 'ui-button-icon-only');\n",
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+ " button.attr('aria-disabled', 'false');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ "\n",
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+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+ " icon_img.addClass(image);\n",
+ " icon_img.addClass('ui-corner-all');\n",
+ "\n",
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+ " tooltip_span.html(tooltip);\n",
+ "\n",
+ " button.append(icon_img);\n",
+ " button.append(tooltip_span);\n",
+ "\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " var fmt_picker_span = $('<span/>');\n",
+ "\n",
+ " var fmt_picker = $('<select/>');\n",
+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+ " fmt_picker_span.append(fmt_picker);\n",
+ " nav_element.append(fmt_picker_span);\n",
+ " this.format_dropdown = fmt_picker[0];\n",
+ "\n",
+ " for (var ind in mpl.extensions) {\n",
+ " var fmt = mpl.extensions[ind];\n",
+ " var option = $(\n",
+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+ " fmt_picker.append(option);\n",
+ " }\n",
+ "\n",
+ " // Add hover states to the ui-buttons\n",
+ " $( \".ui-button\" ).hover(\n",
+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
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+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
+ " // which will in turn request a refresh of the image.\n",
+ " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.send_message = function(type, properties) {\n",
+ " properties['type'] = type;\n",
+ " properties['figure_id'] = this.id;\n",
+ " this.ws.send(JSON.stringify(properties));\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.send_draw_message = function() {\n",
+ " if (!this.waiting) {\n",
+ " this.waiting = true;\n",
+ " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " var format_dropdown = fig.format_dropdown;\n",
+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
+ " fig.ondownload(fig, format);\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
+ " var size = msg['size'];\n",
+ " if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
+ " fig._resize_canvas(size[0], size[1]);\n",
+ " fig.send_message(\"refresh\", {});\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+ " var x0 = msg['x0'] / mpl.ratio;\n",
+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+ " var x1 = msg['x1'] / mpl.ratio;\n",
+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+ " x0 = Math.floor(x0) + 0.5;\n",
+ " y0 = Math.floor(y0) + 0.5;\n",
+ " x1 = Math.floor(x1) + 0.5;\n",
+ " y1 = Math.floor(y1) + 0.5;\n",
+ " var min_x = Math.min(x0, x1);\n",
+ " var min_y = Math.min(y0, y1);\n",
+ " var width = Math.abs(x1 - x0);\n",
+ " var height = Math.abs(y1 - y0);\n",
+ "\n",
+ " fig.rubberband_context.clearRect(\n",
+ " 0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
+ "\n",
+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
+ " // Updates the figure title.\n",
+ " fig.header.textContent = msg['label'];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
+ " var cursor = msg['cursor'];\n",
+ " switch(cursor)\n",
+ " {\n",
+ " case 0:\n",
+ " cursor = 'pointer';\n",
+ " break;\n",
+ " case 1:\n",
+ " cursor = 'default';\n",
+ " break;\n",
+ " case 2:\n",
+ " cursor = 'crosshair';\n",
+ " break;\n",
+ " case 3:\n",
+ " cursor = 'move';\n",
+ " break;\n",
+ " }\n",
+ " fig.rubberband_canvas.style.cursor = cursor;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
+ " fig.message.textContent = msg['message'];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
+ " // Request the server to send over a new figure.\n",
+ " fig.send_draw_message();\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
+ " fig.image_mode = msg['mode'];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
+ " // Called whenever the canvas gets updated.\n",
+ " this.send_message(\"ack\", {});\n",
+ "}\n",
+ "\n",
+ "// A function to construct a web socket function for onmessage handling.\n",
+ "// Called in the figure constructor.\n",
+ "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
+ " return function socket_on_message(evt) {\n",
+ " if (evt.data instanceof Blob) {\n",
+ " /* FIXME: We get \"Resource interpreted as Image but\n",
+ " * transferred with MIME type text/plain:\" errors on\n",
+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
+ " * to be part of the websocket stream */\n",
+ " evt.data.type = \"image/png\";\n",
+ "\n",
+ " /* Free the memory for the previous frames */\n",
+ " if (fig.imageObj.src) {\n",
+ " (window.URL || window.webkitURL).revokeObjectURL(\n",
+ " fig.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+ " evt.data);\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
+ " fig.imageObj.src = evt.data;\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var msg = JSON.parse(evt.data);\n",
+ " var msg_type = msg['type'];\n",
+ "\n",
+ " // Call the \"handle_{type}\" callback, which takes\n",
+ " // the figure and JSON message as its only arguments.\n",
+ " try {\n",
+ " var callback = fig[\"handle_\" + msg_type];\n",
+ " } catch (e) {\n",
+ " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " if (callback) {\n",
+ " try {\n",
+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
+ " callback(fig, msg);\n",
+ " } catch (e) {\n",
+ " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+ " }\n",
+ " }\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
+ "mpl.findpos = function(e) {\n",
+ " //this section is from http://www.quirksmode.org/js/events_properties.html\n",
+ " var targ;\n",
+ " if (!e)\n",
+ " e = window.event;\n",
+ " if (e.target)\n",
+ " targ = e.target;\n",
+ " else if (e.srcElement)\n",
+ " targ = e.srcElement;\n",
+ " if (targ.nodeType == 3) // defeat Safari bug\n",
+ " targ = targ.parentNode;\n",
+ "\n",
+ " // jQuery normalizes the pageX and pageY\n",
+ " // pageX,Y are the mouse positions relative to the document\n",
+ " // offset() returns the position of the element relative to the document\n",
+ " var x = e.pageX - $(targ).offset().left;\n",
+ " var y = e.pageY - $(targ).offset().top;\n",
+ "\n",
+ " return {\"x\": x, \"y\": y};\n",
+ "};\n",
+ "\n",
+ "/*\n",
+ " * return a copy of an object with only non-object keys\n",
+ " * we need this to avoid circular references\n",
+ " * http://stackoverflow.com/a/24161582/3208463\n",
+ " */\n",
+ "function simpleKeys (original) {\n",
+ " return Object.keys(original).reduce(function (obj, key) {\n",
+ " if (typeof original[key] !== 'object')\n",
+ " obj[key] = original[key]\n",
+ " return obj;\n",
+ " }, {});\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.mouse_event = function(event, name) {\n",
+ " var canvas_pos = mpl.findpos(event)\n",
+ "\n",
+ " if (name === 'button_press')\n",
+ " {\n",
+ " this.canvas.focus();\n",
+ " this.canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " var x = canvas_pos.x * mpl.ratio;\n",
+ " var y = canvas_pos.y * mpl.ratio;\n",
+ "\n",
+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
+ " step: event.step,\n",
+ " guiEvent: simpleKeys(event)});\n",
+ "\n",
+ " /* This prevents the web browser from automatically changing to\n",
+ " * the text insertion cursor when the button is pressed. We want\n",
+ " * to control all of the cursor setting manually through the\n",
+ " * 'cursor' event from matplotlib */\n",
+ " event.preventDefault();\n",
+ " return false;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " // Handle any extra behaviour associated with a key event\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.key_event = function(event, name) {\n",
+ "\n",
+ " // Prevent repeat events\n",
+ " if (name == 'key_press')\n",
+ " {\n",
+ " if (event.which === this._key)\n",
+ " return;\n",
+ " else\n",
+ " this._key = event.which;\n",
+ " }\n",
+ " if (name == 'key_release')\n",
+ " this._key = null;\n",
+ "\n",
+ " var value = '';\n",
+ " if (event.ctrlKey && event.which != 17)\n",
+ " value += \"ctrl+\";\n",
+ " if (event.altKey && event.which != 18)\n",
+ " value += \"alt+\";\n",
+ " if (event.shiftKey && event.which != 16)\n",
+ " value += \"shift+\";\n",
+ "\n",
+ " value += 'k';\n",
+ " value += event.which.toString();\n",
+ "\n",
+ " this._key_event_extra(event, name);\n",
+ "\n",
+ " this.send_message(name, {key: value,\n",
+ " guiEvent: simpleKeys(event)});\n",
+ " return false;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+ " if (name == 'download') {\n",
+ " this.handle_save(this, null);\n",
+ " } else {\n",
+ " this.send_message(\"toolbar_button\", {name: name});\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+ " this.message.textContent = tooltip;\n",
+ "};\n",
+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+ "\n",
+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+ "\n",
+ "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
+ " // object with the appropriate methods. Currently this is a non binary\n",
+ " // socket, so there is still some room for performance tuning.\n",
+ " var ws = {};\n",
+ "\n",
+ " ws.close = function() {\n",
+ " comm.close()\n",
+ " };\n",
+ " ws.send = function(m) {\n",
+ " //console.log('sending', m);\n",
+ " comm.send(m);\n",
+ " };\n",
+ " // Register the callback with on_msg.\n",
+ " comm.on_msg(function(msg) {\n",
+ " //console.log('receiving', msg['content']['data'], msg);\n",
+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+ " ws.onmessage(msg['content']['data'])\n",
+ " });\n",
+ " return ws;\n",
+ "}\n",
+ "\n",
+ "mpl.mpl_figure_comm = function(comm, msg) {\n",
+ " // This is the function which gets called when the mpl process\n",
+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+ "\n",
+ " var id = msg.content.data.id;\n",
+ " // Get hold of the div created by the display call when the Comm\n",
+ " // socket was opened in Python.\n",
+ " var element = $(\"#\" + id);\n",
+ " var ws_proxy = comm_websocket_adapter(comm)\n",
+ "\n",
+ " function ondownload(figure, format) {\n",
+ " window.open(figure.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " var fig = new mpl.figure(id, ws_proxy,\n",
+ " ondownload,\n",
+ " element.get(0));\n",
+ "\n",
+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
+ " // web socket which is closed, not our websocket->open comm proxy.\n",
+ " ws_proxy.onopen();\n",
+ "\n",
+ " fig.parent_element = element.get(0);\n",
+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+ " if (!fig.cell_info) {\n",
+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var output_index = fig.cell_info[2]\n",
+ " var cell = fig.cell_info[0];\n",
+ "\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+ " var width = fig.canvas.width/mpl.ratio\n",
+ " fig.root.unbind('remove')\n",
+ "\n",
+ " // Update the output cell to use the data from the current canvas.\n",
+ " fig.push_to_output();\n",
+ " var dataURL = fig.canvas.toDataURL();\n",
+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
+ " // the notebook keyboard shortcuts fail.\n",
+ " IPython.keyboard_manager.enable()\n",
+ " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+ " fig.close_ws(fig, msg);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+ " fig.send_message('closing', msg);\n",
+ " // fig.ws.close()\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+ " // Turn the data on the canvas into data in the output cell.\n",
+ " var width = this.canvas.width/mpl.ratio\n",
+ " var dataURL = this.canvas.toDataURL();\n",
+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
+ " // Tell IPython that the notebook contents must change.\n",
+ " IPython.notebook.set_dirty(true);\n",
+ " this.send_message(\"ack\", {});\n",
+ " var fig = this;\n",
+ " // Wait a second, then push the new image to the DOM so\n",
+ " // that it is saved nicely (might be nice to debounce this).\n",
+ " setTimeout(function () { fig.push_to_output() }, 1000);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\n",
+ " for(var toolbar_ind in mpl.toolbar_items){\n",
+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+ "\n",
+ " if (!name) { continue; };\n",
+ "\n",
+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " // Add the status bar.\n",
+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "\n",
+ " // Add the close button to the window.\n",
+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+ " buttongrp.append(button);\n",
+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+ " titlebar.prepend(buttongrp);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(el){\n",
+ " var fig = this\n",
+ " el.on(\"remove\", function(){\n",
+ "\tfig.close_ws(fig, {});\n",
+ " });\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+ " // this is important to make the div 'focusable\n",
+ " el.attr('tabindex', 0)\n",
+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
+ " // off when our div gets focus\n",
+ "\n",
+ " // location in version 3\n",
+ " if (IPython.notebook.keyboard_manager) {\n",
+ " IPython.notebook.keyboard_manager.register_events(el);\n",
+ " }\n",
+ " else {\n",
+ " // location in version 2\n",
+ " IPython.keyboard_manager.register_events(el);\n",
+ " }\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " var manager = IPython.notebook.keyboard_manager;\n",
+ " if (!manager)\n",
+ " manager = IPython.keyboard_manager;\n",
+ "\n",
+ " // Check for shift+enter\n",
+ " if (event.shiftKey && event.which == 13) {\n",
+ " this.canvas_div.blur();\n",
+ " // select the cell after this one\n",
+ " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+ " IPython.notebook.select(index + 1);\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " fig.ondownload(fig, null);\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.find_output_cell = function(html_output) {\n",
+ " // Return the cell and output element which can be found *uniquely* in the notebook.\n",
+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
+ " // IPython event is triggered only after the cells have been serialised, which for\n",
+ " // our purposes (turning an active figure into a static one), is too late.\n",
+ " var cells = IPython.notebook.get_cells();\n",
+ " var ncells = cells.length;\n",
+ " for (var i=0; i<ncells; i++) {\n",
+ " var cell = cells[i];\n",
+ " if (cell.cell_type === 'code'){\n",
+ " for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
+ " var data = cell.output_area.outputs[j];\n",
+ " if (data.data) {\n",
+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
+ " data = data.data;\n",
+ " }\n",
+ " if (data['text/html'] == html_output) {\n",
+ " return [cell, data, j];\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "// Register the function which deals with the matplotlib target/channel.\n",
+ "// The kernel may be null if the page has been refreshed.\n",
+ "if (IPython.notebook.kernel != null) {\n",
+ " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
+ "}\n"
+ ],
+ "text/plain": [
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\" width=\"1000\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/javascript": [
+ "/* Put everything inside the global mpl namespace */\n",
+ "window.mpl = {};\n",
+ "\n",
+ "\n",
+ "mpl.get_websocket_type = function() {\n",
+ " if (typeof(WebSocket) !== 'undefined') {\n",
+ " return WebSocket;\n",
+ " } else if (typeof(MozWebSocket) !== 'undefined') {\n",
+ " return MozWebSocket;\n",
+ " } else {\n",
+ " alert('Your browser does not have WebSocket support. ' +\n",
+ " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
+ " 'Firefox 4 and 5 are also supported but you ' +\n",
+ " 'have to enable WebSockets in about:config.');\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
+ " this.id = figure_id;\n",
+ "\n",
+ " this.ws = websocket;\n",
+ "\n",
+ " this.supports_binary = (this.ws.binaryType != undefined);\n",
+ "\n",
+ " if (!this.supports_binary) {\n",
+ " var warnings = document.getElementById(\"mpl-warnings\");\n",
+ " if (warnings) {\n",
+ " warnings.style.display = 'block';\n",
+ " warnings.textContent = (\n",
+ " \"This browser does not support binary websocket messages. \" +\n",
+ " \"Performance may be slow.\");\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " this.imageObj = new Image();\n",
+ "\n",
+ " this.context = undefined;\n",
+ " this.message = undefined;\n",
+ " this.canvas = undefined;\n",
+ " this.rubberband_canvas = undefined;\n",
+ " this.rubberband_context = undefined;\n",
+ " this.format_dropdown = undefined;\n",
+ "\n",
+ " this.image_mode = 'full';\n",
+ "\n",
+ " this.root = $('<div/>');\n",
+ " this._root_extra_style(this.root)\n",
+ " this.root.attr('style', 'display: inline-block');\n",
+ "\n",
+ " $(parent_element).append(this.root);\n",
+ "\n",
+ " this._init_header(this);\n",
+ " this._init_canvas(this);\n",
+ " this._init_toolbar(this);\n",
+ "\n",
+ " var fig = this;\n",
+ "\n",
+ " this.waiting = false;\n",
+ "\n",
+ " this.ws.onopen = function () {\n",
+ " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+ " fig.send_message(\"send_image_mode\", {});\n",
+ " if (mpl.ratio != 1) {\n",
+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+ " }\n",
+ " fig.send_message(\"refresh\", {});\n",
+ " }\n",
+ "\n",
+ " this.imageObj.onload = function() {\n",
+ " if (fig.image_mode == 'full') {\n",
+ " // Full images could contain transparency (where diff images\n",
+ " // almost always do), so we need to clear the canvas so that\n",
+ " // there is no ghosting.\n",
+ " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+ " }\n",
+ " fig.context.drawImage(fig.imageObj, 0, 0);\n",
+ " };\n",
+ "\n",
+ " this.imageObj.onunload = function() {\n",
+ " fig.ws.close();\n",
+ " }\n",
+ "\n",
+ " this.ws.onmessage = this._make_on_message_function(this);\n",
+ "\n",
+ " this.ondownload = ondownload;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_header = function() {\n",
+ " var titlebar = $(\n",
+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+ " 'ui-helper-clearfix\"/>');\n",
+ " var titletext = $(\n",
+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+ " 'text-align: center; padding: 3px;\"/>');\n",
+ " titlebar.append(titletext)\n",
+ " this.root.append(titlebar);\n",
+ " this.header = titletext[0];\n",
+ "}\n",
+ "\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_canvas = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var canvas_div = $('<div/>');\n",
+ "\n",
+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+ "\n",
+ " function canvas_keyboard_event(event) {\n",
+ " return fig.key_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+ " this.canvas_div = canvas_div\n",
+ " this._canvas_extra_style(canvas_div)\n",
+ " this.root.append(canvas_div);\n",
+ "\n",
+ " var canvas = $('<canvas/>');\n",
+ " canvas.addClass('mpl-canvas');\n",
+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+ "\n",
+ " this.canvas = canvas[0];\n",
+ " this.context = canvas[0].getContext(\"2d\");\n",
+ "\n",
+ " var backingStore = this.context.backingStorePixelRatio ||\n",
+ "\tthis.context.webkitBackingStorePixelRatio ||\n",
+ "\tthis.context.mozBackingStorePixelRatio ||\n",
+ "\tthis.context.msBackingStorePixelRatio ||\n",
+ "\tthis.context.oBackingStorePixelRatio ||\n",
+ "\tthis.context.backingStorePixelRatio || 1;\n",
+ "\n",
+ " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+ "\n",
+ " var rubberband = $('<canvas/>');\n",
+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+ "\n",
+ " var pass_mouse_events = true;\n",
+ "\n",
+ " canvas_div.resizable({\n",
+ " start: function(event, ui) {\n",
+ " pass_mouse_events = false;\n",
+ " },\n",
+ " resize: function(event, ui) {\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " stop: function(event, ui) {\n",
+ " pass_mouse_events = true;\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " });\n",
+ "\n",
+ " function mouse_event_fn(event) {\n",
+ " if (pass_mouse_events)\n",
+ " return fig.mouse_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
+ " // Throttle sequential mouse events to 1 every 20ms.\n",
+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+ "\n",
+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+ "\n",
+ " canvas_div.on(\"wheel\", function (event) {\n",
+ " event = event.originalEvent;\n",
+ " event['data'] = 'scroll'\n",
+ " if (event.deltaY < 0) {\n",
+ " event.step = 1;\n",
+ " } else {\n",
+ " event.step = -1;\n",
+ " }\n",
+ " mouse_event_fn(event);\n",
+ " });\n",
+ "\n",
+ " canvas_div.append(canvas);\n",
+ " canvas_div.append(rubberband);\n",
+ "\n",
+ " this.rubberband = rubberband;\n",
+ " this.rubberband_canvas = rubberband[0];\n",
+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
+ "\n",
+ " this._resize_canvas = function(width, height) {\n",
+ " // Keep the size of the canvas, canvas container, and rubber band\n",
+ " // canvas in synch.\n",
+ " canvas_div.css('width', width)\n",
+ " canvas_div.css('height', height)\n",
+ "\n",
+ " canvas.attr('width', width * mpl.ratio);\n",
+ " canvas.attr('height', height * mpl.ratio);\n",
+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+ "\n",
+ " rubberband.attr('width', width);\n",
+ " rubberband.attr('height', height);\n",
+ " }\n",
+ "\n",
+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+ " // upon first draw.\n",
+ " this._resize_canvas(600, 600);\n",
+ "\n",
+ " // Disable right mouse context menu.\n",
+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
+ " return false;\n",
+ " });\n",
+ "\n",
+ " function set_focus () {\n",
+ " canvas.focus();\n",
+ " canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " window.setTimeout(set_focus, 100);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\n",
+ " for(var toolbar_ind in mpl.toolbar_items) {\n",
+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+ "\n",
+ " if (!name) {\n",
+ " // put a spacer in here.\n",
+ " continue;\n",
+ " }\n",
+ " var button = $('<button/>');\n",
+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+ " 'ui-button-icon-only');\n",
+ " button.attr('role', 'button');\n",
+ " button.attr('aria-disabled', 'false');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ "\n",
+ " var icon_img = $('<span/>');\n",
+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+ " icon_img.addClass(image);\n",
+ " icon_img.addClass('ui-corner-all');\n",
+ "\n",
+ " var tooltip_span = $('<span/>');\n",
+ " tooltip_span.addClass('ui-button-text');\n",
+ " tooltip_span.html(tooltip);\n",
+ "\n",
+ " button.append(icon_img);\n",
+ " button.append(tooltip_span);\n",
+ "\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " var fmt_picker_span = $('<span/>');\n",
+ "\n",
+ " var fmt_picker = $('<select/>');\n",
+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+ " fmt_picker_span.append(fmt_picker);\n",
+ " nav_element.append(fmt_picker_span);\n",
+ " this.format_dropdown = fmt_picker[0];\n",
+ "\n",
+ " for (var ind in mpl.extensions) {\n",
+ " var fmt = mpl.extensions[ind];\n",
+ " var option = $(\n",
+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+ " fmt_picker.append(option);\n",
+ " }\n",
+ "\n",
+ " // Add hover states to the ui-buttons\n",
+ " $( \".ui-button\" ).hover(\n",
+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
+ " );\n",
+ "\n",
+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
+ " // which will in turn request a refresh of the image.\n",
+ " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.send_message = function(type, properties) {\n",
+ " properties['type'] = type;\n",
+ " properties['figure_id'] = this.id;\n",
+ " this.ws.send(JSON.stringify(properties));\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.send_draw_message = function() {\n",
+ " if (!this.waiting) {\n",
+ " this.waiting = true;\n",
+ " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " var format_dropdown = fig.format_dropdown;\n",
+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
+ " fig.ondownload(fig, format);\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
+ " var size = msg['size'];\n",
+ " if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
+ " fig._resize_canvas(size[0], size[1]);\n",
+ " fig.send_message(\"refresh\", {});\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+ " var x0 = msg['x0'] / mpl.ratio;\n",
+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+ " var x1 = msg['x1'] / mpl.ratio;\n",
+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+ " x0 = Math.floor(x0) + 0.5;\n",
+ " y0 = Math.floor(y0) + 0.5;\n",
+ " x1 = Math.floor(x1) + 0.5;\n",
+ " y1 = Math.floor(y1) + 0.5;\n",
+ " var min_x = Math.min(x0, x1);\n",
+ " var min_y = Math.min(y0, y1);\n",
+ " var width = Math.abs(x1 - x0);\n",
+ " var height = Math.abs(y1 - y0);\n",
+ "\n",
+ " fig.rubberband_context.clearRect(\n",
+ " 0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
+ "\n",
+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
+ " // Updates the figure title.\n",
+ " fig.header.textContent = msg['label'];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
+ " var cursor = msg['cursor'];\n",
+ " switch(cursor)\n",
+ " {\n",
+ " case 0:\n",
+ " cursor = 'pointer';\n",
+ " break;\n",
+ " case 1:\n",
+ " cursor = 'default';\n",
+ " break;\n",
+ " case 2:\n",
+ " cursor = 'crosshair';\n",
+ " break;\n",
+ " case 3:\n",
+ " cursor = 'move';\n",
+ " break;\n",
+ " }\n",
+ " fig.rubberband_canvas.style.cursor = cursor;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
+ " fig.message.textContent = msg['message'];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
+ " // Request the server to send over a new figure.\n",
+ " fig.send_draw_message();\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
+ " fig.image_mode = msg['mode'];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
+ " // Called whenever the canvas gets updated.\n",
+ " this.send_message(\"ack\", {});\n",
+ "}\n",
+ "\n",
+ "// A function to construct a web socket function for onmessage handling.\n",
+ "// Called in the figure constructor.\n",
+ "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
+ " return function socket_on_message(evt) {\n",
+ " if (evt.data instanceof Blob) {\n",
+ " /* FIXME: We get \"Resource interpreted as Image but\n",
+ " * transferred with MIME type text/plain:\" errors on\n",
+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
+ " * to be part of the websocket stream */\n",
+ " evt.data.type = \"image/png\";\n",
+ "\n",
+ " /* Free the memory for the previous frames */\n",
+ " if (fig.imageObj.src) {\n",
+ " (window.URL || window.webkitURL).revokeObjectURL(\n",
+ " fig.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+ " evt.data);\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
+ " fig.imageObj.src = evt.data;\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var msg = JSON.parse(evt.data);\n",
+ " var msg_type = msg['type'];\n",
+ "\n",
+ " // Call the \"handle_{type}\" callback, which takes\n",
+ " // the figure and JSON message as its only arguments.\n",
+ " try {\n",
+ " var callback = fig[\"handle_\" + msg_type];\n",
+ " } catch (e) {\n",
+ " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " if (callback) {\n",
+ " try {\n",
+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
+ " callback(fig, msg);\n",
+ " } catch (e) {\n",
+ " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+ " }\n",
+ " }\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
+ "mpl.findpos = function(e) {\n",
+ " //this section is from http://www.quirksmode.org/js/events_properties.html\n",
+ " var targ;\n",
+ " if (!e)\n",
+ " e = window.event;\n",
+ " if (e.target)\n",
+ " targ = e.target;\n",
+ " else if (e.srcElement)\n",
+ " targ = e.srcElement;\n",
+ " if (targ.nodeType == 3) // defeat Safari bug\n",
+ " targ = targ.parentNode;\n",
+ "\n",
+ " // jQuery normalizes the pageX and pageY\n",
+ " // pageX,Y are the mouse positions relative to the document\n",
+ " // offset() returns the position of the element relative to the document\n",
+ " var x = e.pageX - $(targ).offset().left;\n",
+ " var y = e.pageY - $(targ).offset().top;\n",
+ "\n",
+ " return {\"x\": x, \"y\": y};\n",
+ "};\n",
+ "\n",
+ "/*\n",
+ " * return a copy of an object with only non-object keys\n",
+ " * we need this to avoid circular references\n",
+ " * http://stackoverflow.com/a/24161582/3208463\n",
+ " */\n",
+ "function simpleKeys (original) {\n",
+ " return Object.keys(original).reduce(function (obj, key) {\n",
+ " if (typeof original[key] !== 'object')\n",
+ " obj[key] = original[key]\n",
+ " return obj;\n",
+ " }, {});\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.mouse_event = function(event, name) {\n",
+ " var canvas_pos = mpl.findpos(event)\n",
+ "\n",
+ " if (name === 'button_press')\n",
+ " {\n",
+ " this.canvas.focus();\n",
+ " this.canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " var x = canvas_pos.x * mpl.ratio;\n",
+ " var y = canvas_pos.y * mpl.ratio;\n",
+ "\n",
+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
+ " step: event.step,\n",
+ " guiEvent: simpleKeys(event)});\n",
+ "\n",
+ " /* This prevents the web browser from automatically changing to\n",
+ " * the text insertion cursor when the button is pressed. We want\n",
+ " * to control all of the cursor setting manually through the\n",
+ " * 'cursor' event from matplotlib */\n",
+ " event.preventDefault();\n",
+ " return false;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " // Handle any extra behaviour associated with a key event\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.key_event = function(event, name) {\n",
+ "\n",
+ " // Prevent repeat events\n",
+ " if (name == 'key_press')\n",
+ " {\n",
+ " if (event.which === this._key)\n",
+ " return;\n",
+ " else\n",
+ " this._key = event.which;\n",
+ " }\n",
+ " if (name == 'key_release')\n",
+ " this._key = null;\n",
+ "\n",
+ " var value = '';\n",
+ " if (event.ctrlKey && event.which != 17)\n",
+ " value += \"ctrl+\";\n",
+ " if (event.altKey && event.which != 18)\n",
+ " value += \"alt+\";\n",
+ " if (event.shiftKey && event.which != 16)\n",
+ " value += \"shift+\";\n",
+ "\n",
+ " value += 'k';\n",
+ " value += event.which.toString();\n",
+ "\n",
+ " this._key_event_extra(event, name);\n",
+ "\n",
+ " this.send_message(name, {key: value,\n",
+ " guiEvent: simpleKeys(event)});\n",
+ " return false;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+ " if (name == 'download') {\n",
+ " this.handle_save(this, null);\n",
+ " } else {\n",
+ " this.send_message(\"toolbar_button\", {name: name});\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+ " this.message.textContent = tooltip;\n",
+ "};\n",
+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+ "\n",
+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+ "\n",
+ "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
+ " // object with the appropriate methods. Currently this is a non binary\n",
+ " // socket, so there is still some room for performance tuning.\n",
+ " var ws = {};\n",
+ "\n",
+ " ws.close = function() {\n",
+ " comm.close()\n",
+ " };\n",
+ " ws.send = function(m) {\n",
+ " //console.log('sending', m);\n",
+ " comm.send(m);\n",
+ " };\n",
+ " // Register the callback with on_msg.\n",
+ " comm.on_msg(function(msg) {\n",
+ " //console.log('receiving', msg['content']['data'], msg);\n",
+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+ " ws.onmessage(msg['content']['data'])\n",
+ " });\n",
+ " return ws;\n",
+ "}\n",
+ "\n",
+ "mpl.mpl_figure_comm = function(comm, msg) {\n",
+ " // This is the function which gets called when the mpl process\n",
+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+ "\n",
+ " var id = msg.content.data.id;\n",
+ " // Get hold of the div created by the display call when the Comm\n",
+ " // socket was opened in Python.\n",
+ " var element = $(\"#\" + id);\n",
+ " var ws_proxy = comm_websocket_adapter(comm)\n",
+ "\n",
+ " function ondownload(figure, format) {\n",
+ " window.open(figure.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " var fig = new mpl.figure(id, ws_proxy,\n",
+ " ondownload,\n",
+ " element.get(0));\n",
+ "\n",
+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
+ " // web socket which is closed, not our websocket->open comm proxy.\n",
+ " ws_proxy.onopen();\n",
+ "\n",
+ " fig.parent_element = element.get(0);\n",
+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+ " if (!fig.cell_info) {\n",
+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var output_index = fig.cell_info[2]\n",
+ " var cell = fig.cell_info[0];\n",
+ "\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+ " var width = fig.canvas.width/mpl.ratio\n",
+ " fig.root.unbind('remove')\n",
+ "\n",
+ " // Update the output cell to use the data from the current canvas.\n",
+ " fig.push_to_output();\n",
+ " var dataURL = fig.canvas.toDataURL();\n",
+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
+ " // the notebook keyboard shortcuts fail.\n",
+ " IPython.keyboard_manager.enable()\n",
+ " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+ " fig.close_ws(fig, msg);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+ " fig.send_message('closing', msg);\n",
+ " // fig.ws.close()\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+ " // Turn the data on the canvas into data in the output cell.\n",
+ " var width = this.canvas.width/mpl.ratio\n",
+ " var dataURL = this.canvas.toDataURL();\n",
+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
+ " // Tell IPython that the notebook contents must change.\n",
+ " IPython.notebook.set_dirty(true);\n",
+ " this.send_message(\"ack\", {});\n",
+ " var fig = this;\n",
+ " // Wait a second, then push the new image to the DOM so\n",
+ " // that it is saved nicely (might be nice to debounce this).\n",
+ " setTimeout(function () { fig.push_to_output() }, 1000);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\n",
+ " for(var toolbar_ind in mpl.toolbar_items){\n",
+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+ "\n",
+ " if (!name) { continue; };\n",
+ "\n",
+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " // Add the status bar.\n",
+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "\n",
+ " // Add the close button to the window.\n",
+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+ " buttongrp.append(button);\n",
+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+ " titlebar.prepend(buttongrp);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(el){\n",
+ " var fig = this\n",
+ " el.on(\"remove\", function(){\n",
+ "\tfig.close_ws(fig, {});\n",
+ " });\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+ " // this is important to make the div 'focusable\n",
+ " el.attr('tabindex', 0)\n",
+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
+ " // off when our div gets focus\n",
+ "\n",
+ " // location in version 3\n",
+ " if (IPython.notebook.keyboard_manager) {\n",
+ " IPython.notebook.keyboard_manager.register_events(el);\n",
+ " }\n",
+ " else {\n",
+ " // location in version 2\n",
+ " IPython.keyboard_manager.register_events(el);\n",
+ " }\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " var manager = IPython.notebook.keyboard_manager;\n",
+ " if (!manager)\n",
+ " manager = IPython.keyboard_manager;\n",
+ "\n",
+ " // Check for shift+enter\n",
+ " if (event.shiftKey && event.which == 13) {\n",
+ " this.canvas_div.blur();\n",
+ " // select the cell after this one\n",
+ " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+ " IPython.notebook.select(index + 1);\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " fig.ondownload(fig, null);\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.find_output_cell = function(html_output) {\n",
+ " // Return the cell and output element which can be found *uniquely* in the notebook.\n",
+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
+ " // IPython event is triggered only after the cells have been serialised, which for\n",
+ " // our purposes (turning an active figure into a static one), is too late.\n",
+ " var cells = IPython.notebook.get_cells();\n",
+ " var ncells = cells.length;\n",
+ " for (var i=0; i<ncells; i++) {\n",
+ " var cell = cells[i];\n",
+ " if (cell.cell_type === 'code'){\n",
+ " for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
+ " var data = cell.output_area.outputs[j];\n",
+ " if (data.data) {\n",
+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
+ " data = data.data;\n",
+ " }\n",
+ " if (data['text/html'] == html_output) {\n",
+ " return [cell, data, j];\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "// Register the function which deals with the matplotlib target/channel.\n",
+ "// The kernel may be null if the page has been refreshed.\n",
+ "if (IPython.notebook.kernel != null) {\n",
+ " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
+ "}\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Javascript object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
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\" width=\"1000\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.figure(figsize = (10, 3.5))\n",
+ "ax = plt.subplot()\n",
+ "xr.merge([base_hourly_sel.pv_potential.rename('baseline'), \n",
+ " data_hourly_sel.pv_potential.rename('EW scenario')]).to_dataframe().plot(ax = ax)\n",
+ "\n",
+ "ax.set_xticks(list(range(12, 24*12, 24)))\n",
+ "ax.set_xticklabels(calendar.month_abbr[1:])\n",
+ "plt.xlabel('')\n",
+ "plt.xlim((0, 12*24))\n",
+ "plt.ylabel('Power ($W$)')\n",
+ "\n",
+ "ax.set_axisbelow(True)\n",
+ "ax.yaxis.grid(linestyle = '--')\n",
+ "\n",
+ "plt.tight_layout()\n",
+ "\n",
+ "plt.figure(figsize = (10, 3.5))\n",
+ "ax = plt.subplot()\n",
+ "\n",
+ "xr.merge([base_hourly_sel.tilted_irradiance.rename('baseline'), \n",
+ " data_hourly_sel.tilted_irradiance.rename('EW scenario')]).to_dataframe().plot(ax = ax)\n",
+ "\n",
+ "ax.set_xticks(list(range(12, 24*12, 24)))\n",
+ "ax.set_xticklabels(calendar.month_abbr[1:])\n",
+ "plt.xlabel('')\n",
+ "plt.xlim((0, 12*24))\n",
+ "plt.ylabel('Radiation ($W/m^2$)')\n",
+ "\n",
+ "ax.set_axisbelow(True)\n",
+ "ax.yaxis.grid(linestyle = '--')\n",
+ "\n",
+ "plt.tight_layout()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Check temporary files"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 81,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "batch = 1"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 101,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "gt = xr.open_mfdataset( os.path.join(EW_path, 'tmp_MMH', 'tilted_irrad_*.nc' ), concat_dim = 'DF_UID' )\n",
+ "pv = xr.open_mfdataset( os.path.join(EW_path, 'tmp_MMH', 'pv_potential_*.nc' ), concat_dim = 'DF_UID' )"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 105,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "if 'timestamp' in gt.yearly_kWh_m2.coords:\n",
+ " gt['yearly_kWh_m2'] = gt['yearly_kWh_m2'].isel( timestamp = 0 )"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 110,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "if 'timestamp' in pv.yearly_PV_kWh.coords:\n",
+ " pv['yearly_PV_kWh'] = pv['yearly_PV_kWh'].isel( timestamp = 0 )"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 112,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "DF_UID\n",
+ "7 285.939636\n",
+ "33 1333.533813\n",
+ "49 1854.498413\n",
+ "50 59984.988281\n",
+ "51 49039.257812\n",
+ " ... \n",
+ "9890002 0.000000\n",
+ "9890020 1048.724854\n",
+ "9890021 215.477646\n",
+ "9890022 24290.589844\n",
+ "9890023 11211.538086\n",
+ "Name: yearly_PV_kWh, Length: 1888887, dtype: float32"
+ ]
+ },
+ "execution_count": 112,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "pv.yearly_PV_kWh.to_series()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Plot random roof"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 75,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/javascript": [
+ "/* Put everything inside the global mpl namespace */\n",
+ "window.mpl = {};\n",
+ "\n",
+ "\n",
+ "mpl.get_websocket_type = function() {\n",
+ " if (typeof(WebSocket) !== 'undefined') {\n",
+ " return WebSocket;\n",
+ " } else if (typeof(MozWebSocket) !== 'undefined') {\n",
+ " return MozWebSocket;\n",
+ " } else {\n",
+ " alert('Your browser does not have WebSocket support. ' +\n",
+ " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
+ " 'Firefox 4 and 5 are also supported but you ' +\n",
+ " 'have to enable WebSockets in about:config.');\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
+ " this.id = figure_id;\n",
+ "\n",
+ " this.ws = websocket;\n",
+ "\n",
+ " this.supports_binary = (this.ws.binaryType != undefined);\n",
+ "\n",
+ " if (!this.supports_binary) {\n",
+ " var warnings = document.getElementById(\"mpl-warnings\");\n",
+ " if (warnings) {\n",
+ " warnings.style.display = 'block';\n",
+ " warnings.textContent = (\n",
+ " \"This browser does not support binary websocket messages. \" +\n",
+ " \"Performance may be slow.\");\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " this.imageObj = new Image();\n",
+ "\n",
+ " this.context = undefined;\n",
+ " this.message = undefined;\n",
+ " this.canvas = undefined;\n",
+ " this.rubberband_canvas = undefined;\n",
+ " this.rubberband_context = undefined;\n",
+ " this.format_dropdown = undefined;\n",
+ "\n",
+ " this.image_mode = 'full';\n",
+ "\n",
+ " this.root = $('<div/>');\n",
+ " this._root_extra_style(this.root)\n",
+ " this.root.attr('style', 'display: inline-block');\n",
+ "\n",
+ " $(parent_element).append(this.root);\n",
+ "\n",
+ " this._init_header(this);\n",
+ " this._init_canvas(this);\n",
+ " this._init_toolbar(this);\n",
+ "\n",
+ " var fig = this;\n",
+ "\n",
+ " this.waiting = false;\n",
+ "\n",
+ " this.ws.onopen = function () {\n",
+ " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+ " fig.send_message(\"send_image_mode\", {});\n",
+ " if (mpl.ratio != 1) {\n",
+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+ " }\n",
+ " fig.send_message(\"refresh\", {});\n",
+ " }\n",
+ "\n",
+ " this.imageObj.onload = function() {\n",
+ " if (fig.image_mode == 'full') {\n",
+ " // Full images could contain transparency (where diff images\n",
+ " // almost always do), so we need to clear the canvas so that\n",
+ " // there is no ghosting.\n",
+ " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+ " }\n",
+ " fig.context.drawImage(fig.imageObj, 0, 0);\n",
+ " };\n",
+ "\n",
+ " this.imageObj.onunload = function() {\n",
+ " fig.ws.close();\n",
+ " }\n",
+ "\n",
+ " this.ws.onmessage = this._make_on_message_function(this);\n",
+ "\n",
+ " this.ondownload = ondownload;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_header = function() {\n",
+ " var titlebar = $(\n",
+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+ " 'ui-helper-clearfix\"/>');\n",
+ " var titletext = $(\n",
+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+ " 'text-align: center; padding: 3px;\"/>');\n",
+ " titlebar.append(titletext)\n",
+ " this.root.append(titlebar);\n",
+ " this.header = titletext[0];\n",
+ "}\n",
+ "\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_canvas = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var canvas_div = $('<div/>');\n",
+ "\n",
+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+ "\n",
+ " function canvas_keyboard_event(event) {\n",
+ " return fig.key_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+ " this.canvas_div = canvas_div\n",
+ " this._canvas_extra_style(canvas_div)\n",
+ " this.root.append(canvas_div);\n",
+ "\n",
+ " var canvas = $('<canvas/>');\n",
+ " canvas.addClass('mpl-canvas');\n",
+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+ "\n",
+ " this.canvas = canvas[0];\n",
+ " this.context = canvas[0].getContext(\"2d\");\n",
+ "\n",
+ " var backingStore = this.context.backingStorePixelRatio ||\n",
+ "\tthis.context.webkitBackingStorePixelRatio ||\n",
+ "\tthis.context.mozBackingStorePixelRatio ||\n",
+ "\tthis.context.msBackingStorePixelRatio ||\n",
+ "\tthis.context.oBackingStorePixelRatio ||\n",
+ "\tthis.context.backingStorePixelRatio || 1;\n",
+ "\n",
+ " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+ "\n",
+ " var rubberband = $('<canvas/>');\n",
+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+ "\n",
+ " var pass_mouse_events = true;\n",
+ "\n",
+ " canvas_div.resizable({\n",
+ " start: function(event, ui) {\n",
+ " pass_mouse_events = false;\n",
+ " },\n",
+ " resize: function(event, ui) {\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " stop: function(event, ui) {\n",
+ " pass_mouse_events = true;\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " });\n",
+ "\n",
+ " function mouse_event_fn(event) {\n",
+ " if (pass_mouse_events)\n",
+ " return fig.mouse_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
+ " // Throttle sequential mouse events to 1 every 20ms.\n",
+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+ "\n",
+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+ "\n",
+ " canvas_div.on(\"wheel\", function (event) {\n",
+ " event = event.originalEvent;\n",
+ " event['data'] = 'scroll'\n",
+ " if (event.deltaY < 0) {\n",
+ " event.step = 1;\n",
+ " } else {\n",
+ " event.step = -1;\n",
+ " }\n",
+ " mouse_event_fn(event);\n",
+ " });\n",
+ "\n",
+ " canvas_div.append(canvas);\n",
+ " canvas_div.append(rubberband);\n",
+ "\n",
+ " this.rubberband = rubberband;\n",
+ " this.rubberband_canvas = rubberband[0];\n",
+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
+ "\n",
+ " this._resize_canvas = function(width, height) {\n",
+ " // Keep the size of the canvas, canvas container, and rubber band\n",
+ " // canvas in synch.\n",
+ " canvas_div.css('width', width)\n",
+ " canvas_div.css('height', height)\n",
+ "\n",
+ " canvas.attr('width', width * mpl.ratio);\n",
+ " canvas.attr('height', height * mpl.ratio);\n",
+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+ "\n",
+ " rubberband.attr('width', width);\n",
+ " rubberband.attr('height', height);\n",
+ " }\n",
+ "\n",
+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+ " // upon first draw.\n",
+ " this._resize_canvas(600, 600);\n",
+ "\n",
+ " // Disable right mouse context menu.\n",
+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
+ " return false;\n",
+ " });\n",
+ "\n",
+ " function set_focus () {\n",
+ " canvas.focus();\n",
+ " canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " window.setTimeout(set_focus, 100);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\n",
+ " for(var toolbar_ind in mpl.toolbar_items) {\n",
+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+ "\n",
+ " if (!name) {\n",
+ " // put a spacer in here.\n",
+ " continue;\n",
+ " }\n",
+ " var button = $('<button/>');\n",
+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+ " 'ui-button-icon-only');\n",
+ " button.attr('role', 'button');\n",
+ " button.attr('aria-disabled', 'false');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ "\n",
+ " var icon_img = $('<span/>');\n",
+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+ " icon_img.addClass(image);\n",
+ " icon_img.addClass('ui-corner-all');\n",
+ "\n",
+ " var tooltip_span = $('<span/>');\n",
+ " tooltip_span.addClass('ui-button-text');\n",
+ " tooltip_span.html(tooltip);\n",
+ "\n",
+ " button.append(icon_img);\n",
+ " button.append(tooltip_span);\n",
+ "\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " var fmt_picker_span = $('<span/>');\n",
+ "\n",
+ " var fmt_picker = $('<select/>');\n",
+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+ " fmt_picker_span.append(fmt_picker);\n",
+ " nav_element.append(fmt_picker_span);\n",
+ " this.format_dropdown = fmt_picker[0];\n",
+ "\n",
+ " for (var ind in mpl.extensions) {\n",
+ " var fmt = mpl.extensions[ind];\n",
+ " var option = $(\n",
+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+ " fmt_picker.append(option);\n",
+ " }\n",
+ "\n",
+ " // Add hover states to the ui-buttons\n",
+ " $( \".ui-button\" ).hover(\n",
+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
+ " );\n",
+ "\n",
+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
+ " // which will in turn request a refresh of the image.\n",
+ " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.send_message = function(type, properties) {\n",
+ " properties['type'] = type;\n",
+ " properties['figure_id'] = this.id;\n",
+ " this.ws.send(JSON.stringify(properties));\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.send_draw_message = function() {\n",
+ " if (!this.waiting) {\n",
+ " this.waiting = true;\n",
+ " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " var format_dropdown = fig.format_dropdown;\n",
+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
+ " fig.ondownload(fig, format);\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
+ " var size = msg['size'];\n",
+ " if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
+ " fig._resize_canvas(size[0], size[1]);\n",
+ " fig.send_message(\"refresh\", {});\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+ " var x0 = msg['x0'] / mpl.ratio;\n",
+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+ " var x1 = msg['x1'] / mpl.ratio;\n",
+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+ " x0 = Math.floor(x0) + 0.5;\n",
+ " y0 = Math.floor(y0) + 0.5;\n",
+ " x1 = Math.floor(x1) + 0.5;\n",
+ " y1 = Math.floor(y1) + 0.5;\n",
+ " var min_x = Math.min(x0, x1);\n",
+ " var min_y = Math.min(y0, y1);\n",
+ " var width = Math.abs(x1 - x0);\n",
+ " var height = Math.abs(y1 - y0);\n",
+ "\n",
+ " fig.rubberband_context.clearRect(\n",
+ " 0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
+ "\n",
+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
+ " // Updates the figure title.\n",
+ " fig.header.textContent = msg['label'];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
+ " var cursor = msg['cursor'];\n",
+ " switch(cursor)\n",
+ " {\n",
+ " case 0:\n",
+ " cursor = 'pointer';\n",
+ " break;\n",
+ " case 1:\n",
+ " cursor = 'default';\n",
+ " break;\n",
+ " case 2:\n",
+ " cursor = 'crosshair';\n",
+ " break;\n",
+ " case 3:\n",
+ " cursor = 'move';\n",
+ " break;\n",
+ " }\n",
+ " fig.rubberband_canvas.style.cursor = cursor;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
+ " fig.message.textContent = msg['message'];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
+ " // Request the server to send over a new figure.\n",
+ " fig.send_draw_message();\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
+ " fig.image_mode = msg['mode'];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
+ " // Called whenever the canvas gets updated.\n",
+ " this.send_message(\"ack\", {});\n",
+ "}\n",
+ "\n",
+ "// A function to construct a web socket function for onmessage handling.\n",
+ "// Called in the figure constructor.\n",
+ "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
+ " return function socket_on_message(evt) {\n",
+ " if (evt.data instanceof Blob) {\n",
+ " /* FIXME: We get \"Resource interpreted as Image but\n",
+ " * transferred with MIME type text/plain:\" errors on\n",
+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
+ " * to be part of the websocket stream */\n",
+ " evt.data.type = \"image/png\";\n",
+ "\n",
+ " /* Free the memory for the previous frames */\n",
+ " if (fig.imageObj.src) {\n",
+ " (window.URL || window.webkitURL).revokeObjectURL(\n",
+ " fig.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+ " evt.data);\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
+ " fig.imageObj.src = evt.data;\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var msg = JSON.parse(evt.data);\n",
+ " var msg_type = msg['type'];\n",
+ "\n",
+ " // Call the \"handle_{type}\" callback, which takes\n",
+ " // the figure and JSON message as its only arguments.\n",
+ " try {\n",
+ " var callback = fig[\"handle_\" + msg_type];\n",
+ " } catch (e) {\n",
+ " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " if (callback) {\n",
+ " try {\n",
+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
+ " callback(fig, msg);\n",
+ " } catch (e) {\n",
+ " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+ " }\n",
+ " }\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
+ "mpl.findpos = function(e) {\n",
+ " //this section is from http://www.quirksmode.org/js/events_properties.html\n",
+ " var targ;\n",
+ " if (!e)\n",
+ " e = window.event;\n",
+ " if (e.target)\n",
+ " targ = e.target;\n",
+ " else if (e.srcElement)\n",
+ " targ = e.srcElement;\n",
+ " if (targ.nodeType == 3) // defeat Safari bug\n",
+ " targ = targ.parentNode;\n",
+ "\n",
+ " // jQuery normalizes the pageX and pageY\n",
+ " // pageX,Y are the mouse positions relative to the document\n",
+ " // offset() returns the position of the element relative to the document\n",
+ " var x = e.pageX - $(targ).offset().left;\n",
+ " var y = e.pageY - $(targ).offset().top;\n",
+ "\n",
+ " return {\"x\": x, \"y\": y};\n",
+ "};\n",
+ "\n",
+ "/*\n",
+ " * return a copy of an object with only non-object keys\n",
+ " * we need this to avoid circular references\n",
+ " * http://stackoverflow.com/a/24161582/3208463\n",
+ " */\n",
+ "function simpleKeys (original) {\n",
+ " return Object.keys(original).reduce(function (obj, key) {\n",
+ " if (typeof original[key] !== 'object')\n",
+ " obj[key] = original[key]\n",
+ " return obj;\n",
+ " }, {});\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.mouse_event = function(event, name) {\n",
+ " var canvas_pos = mpl.findpos(event)\n",
+ "\n",
+ " if (name === 'button_press')\n",
+ " {\n",
+ " this.canvas.focus();\n",
+ " this.canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " var x = canvas_pos.x * mpl.ratio;\n",
+ " var y = canvas_pos.y * mpl.ratio;\n",
+ "\n",
+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
+ " step: event.step,\n",
+ " guiEvent: simpleKeys(event)});\n",
+ "\n",
+ " /* This prevents the web browser from automatically changing to\n",
+ " * the text insertion cursor when the button is pressed. We want\n",
+ " * to control all of the cursor setting manually through the\n",
+ " * 'cursor' event from matplotlib */\n",
+ " event.preventDefault();\n",
+ " return false;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " // Handle any extra behaviour associated with a key event\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.key_event = function(event, name) {\n",
+ "\n",
+ " // Prevent repeat events\n",
+ " if (name == 'key_press')\n",
+ " {\n",
+ " if (event.which === this._key)\n",
+ " return;\n",
+ " else\n",
+ " this._key = event.which;\n",
+ " }\n",
+ " if (name == 'key_release')\n",
+ " this._key = null;\n",
+ "\n",
+ " var value = '';\n",
+ " if (event.ctrlKey && event.which != 17)\n",
+ " value += \"ctrl+\";\n",
+ " if (event.altKey && event.which != 18)\n",
+ " value += \"alt+\";\n",
+ " if (event.shiftKey && event.which != 16)\n",
+ " value += \"shift+\";\n",
+ "\n",
+ " value += 'k';\n",
+ " value += event.which.toString();\n",
+ "\n",
+ " this._key_event_extra(event, name);\n",
+ "\n",
+ " this.send_message(name, {key: value,\n",
+ " guiEvent: simpleKeys(event)});\n",
+ " return false;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+ " if (name == 'download') {\n",
+ " this.handle_save(this, null);\n",
+ " } else {\n",
+ " this.send_message(\"toolbar_button\", {name: name});\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+ " this.message.textContent = tooltip;\n",
+ "};\n",
+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+ "\n",
+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+ "\n",
+ "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
+ " // object with the appropriate methods. Currently this is a non binary\n",
+ " // socket, so there is still some room for performance tuning.\n",
+ " var ws = {};\n",
+ "\n",
+ " ws.close = function() {\n",
+ " comm.close()\n",
+ " };\n",
+ " ws.send = function(m) {\n",
+ " //console.log('sending', m);\n",
+ " comm.send(m);\n",
+ " };\n",
+ " // Register the callback with on_msg.\n",
+ " comm.on_msg(function(msg) {\n",
+ " //console.log('receiving', msg['content']['data'], msg);\n",
+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+ " ws.onmessage(msg['content']['data'])\n",
+ " });\n",
+ " return ws;\n",
+ "}\n",
+ "\n",
+ "mpl.mpl_figure_comm = function(comm, msg) {\n",
+ " // This is the function which gets called when the mpl process\n",
+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+ "\n",
+ " var id = msg.content.data.id;\n",
+ " // Get hold of the div created by the display call when the Comm\n",
+ " // socket was opened in Python.\n",
+ " var element = $(\"#\" + id);\n",
+ " var ws_proxy = comm_websocket_adapter(comm)\n",
+ "\n",
+ " function ondownload(figure, format) {\n",
+ " window.open(figure.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " var fig = new mpl.figure(id, ws_proxy,\n",
+ " ondownload,\n",
+ " element.get(0));\n",
+ "\n",
+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
+ " // web socket which is closed, not our websocket->open comm proxy.\n",
+ " ws_proxy.onopen();\n",
+ "\n",
+ " fig.parent_element = element.get(0);\n",
+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+ " if (!fig.cell_info) {\n",
+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var output_index = fig.cell_info[2]\n",
+ " var cell = fig.cell_info[0];\n",
+ "\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+ " var width = fig.canvas.width/mpl.ratio\n",
+ " fig.root.unbind('remove')\n",
+ "\n",
+ " // Update the output cell to use the data from the current canvas.\n",
+ " fig.push_to_output();\n",
+ " var dataURL = fig.canvas.toDataURL();\n",
+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
+ " // the notebook keyboard shortcuts fail.\n",
+ " IPython.keyboard_manager.enable()\n",
+ " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+ " fig.close_ws(fig, msg);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+ " fig.send_message('closing', msg);\n",
+ " // fig.ws.close()\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+ " // Turn the data on the canvas into data in the output cell.\n",
+ " var width = this.canvas.width/mpl.ratio\n",
+ " var dataURL = this.canvas.toDataURL();\n",
+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
+ " // Tell IPython that the notebook contents must change.\n",
+ " IPython.notebook.set_dirty(true);\n",
+ " this.send_message(\"ack\", {});\n",
+ " var fig = this;\n",
+ " // Wait a second, then push the new image to the DOM so\n",
+ " // that it is saved nicely (might be nice to debounce this).\n",
+ " setTimeout(function () { fig.push_to_output() }, 1000);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\n",
+ " for(var toolbar_ind in mpl.toolbar_items){\n",
+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+ "\n",
+ " if (!name) { continue; };\n",
+ "\n",
+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " // Add the status bar.\n",
+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "\n",
+ " // Add the close button to the window.\n",
+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+ " buttongrp.append(button);\n",
+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+ " titlebar.prepend(buttongrp);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(el){\n",
+ " var fig = this\n",
+ " el.on(\"remove\", function(){\n",
+ "\tfig.close_ws(fig, {});\n",
+ " });\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+ " // this is important to make the div 'focusable\n",
+ " el.attr('tabindex', 0)\n",
+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
+ " // off when our div gets focus\n",
+ "\n",
+ " // location in version 3\n",
+ " if (IPython.notebook.keyboard_manager) {\n",
+ " IPython.notebook.keyboard_manager.register_events(el);\n",
+ " }\n",
+ " else {\n",
+ " // location in version 2\n",
+ " IPython.keyboard_manager.register_events(el);\n",
+ " }\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " var manager = IPython.notebook.keyboard_manager;\n",
+ " if (!manager)\n",
+ " manager = IPython.keyboard_manager;\n",
+ "\n",
+ " // Check for shift+enter\n",
+ " if (event.shiftKey && event.which == 13) {\n",
+ " this.canvas_div.blur();\n",
+ " // select the cell after this one\n",
+ " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+ " IPython.notebook.select(index + 1);\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " fig.ondownload(fig, null);\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.find_output_cell = function(html_output) {\n",
+ " // Return the cell and output element which can be found *uniquely* in the notebook.\n",
+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
+ " // IPython event is triggered only after the cells have been serialised, which for\n",
+ " // our purposes (turning an active figure into a static one), is too late.\n",
+ " var cells = IPython.notebook.get_cells();\n",
+ " var ncells = cells.length;\n",
+ " for (var i=0; i<ncells; i++) {\n",
+ " var cell = cells[i];\n",
+ " if (cell.cell_type === 'code'){\n",
+ " for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
+ " var data = cell.output_area.outputs[j];\n",
+ " if (data.data) {\n",
+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
+ " data = data.data;\n",
+ " }\n",
+ " if (data['text/html'] == html_output) {\n",
+ " return [cell, data, j];\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "// Register the function which deals with the matplotlib target/channel.\n",
+ "// The kernel may be null if the page has been refreshed.\n",
+ "if (IPython.notebook.kernel != null) {\n",
+ " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
+ "}\n"
+ ],
+ "text/plain": [
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+ },
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+ "output_type": "display_data"
+ },
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\" width=\"1000\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "ID = np.random.randint(len(gt.DF_UID))\n",
+ "gt_sel = gt.isel(DF_UID = ID).drop('DF_UID')\n",
+ "gt_sel.coords['timestamp'] = (gt_sel.timestamp.dt.month-1) * 24 + gt_sel.timestamp.dt.hour\n",
+ "gt_sel = xr.merge([xr.DataArray(coords = {'timestamp' : range(288)}, dims = ['timestamp'] ).rename('dummy'),\n",
+ " gt_sel ] ).fillna(0)\n",
+ "\n",
+ "pv_sel = pv.isel(DF_UID = ID).drop('DF_UID')\n",
+ "pv_sel.coords['timestamp'] = (pv_sel.timestamp.dt.month-1) * 24 + pv_sel.timestamp.dt.hour\n",
+ "pv_sel = xr.merge([xr.DataArray(coords = {'timestamp' : range(288)}, dims = ['timestamp'] ).rename('dummy'),\n",
+ " pv_sel ] ).fillna(0)\n",
+ "\n",
+ "plt.figure(figsize = (10, 3.5))\n",
+ "ax = plt.subplot()\n",
+ "pv_sel.pv_potential.to_dataframe().plot(ax = ax)\n",
+ "\n",
+ "ax.set_xticks(list(range(12, 24*12, 24)))\n",
+ "ax.set_xticklabels(calendar.month_abbr[1:])\n",
+ "plt.xlabel('')\n",
+ "plt.xlim((0, 12*24))\n",
+ "plt.ylabel('Power ($W$)')\n",
+ "\n",
+ "ax.set_axisbelow(True)\n",
+ "ax.yaxis.grid(linestyle = '--')\n",
+ "\n",
+ "ax = plt.gca().twinx()\n",
+ "gt_sel.tilted_irradiance.to_dataframe().plot(ax = ax, c = 'C1')\n",
+ "\n",
+ "ax.set_xticks(list(range(12, 24*12, 24)))\n",
+ "ax.set_xticklabels(calendar.month_abbr[1:])\n",
+ "plt.xlabel('')\n",
+ "plt.xlim((0, 12*24))\n",
+ "plt.ylabel('Radiation ($W/m^2$)')\n",
+ "\n",
+ "plt.tight_layout()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "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": "3.6.7"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/EW_scenarios_MMH/2_exec_pv_pipeline_batch_flat_EW.sh b/EW_scenarios_MMH/2_exec_pv_pipeline_batch_flat_EW.sh
new file mode 100644
index 0000000..06a58af
--- /dev/null
+++ b/EW_scenarios_MMH/2_exec_pv_pipeline_batch_flat_EW.sh
@@ -0,0 +1,179 @@
+#!/bin/bash
+
+## == Settings
+
+#SBATCH --job-name=pv_pipe_EW
+
+#SBATCH --account=leso-pb
+
+#SBATCH --nodes=1
+#SBATCH --mem=125G
+#SBATCH --ntasks=1
+#SBATCH --cpus-per-task=4
+#SBATCH --time=00:20:00
+
+#SBATCH --chdir=./output
+
+#SBATCH --array=1-95 ###97
+
+#SBATCH -o pv_pipe_EW_%A_%a.out # Standard output
+#SBATCH -e pv_pipe_EW_%A_%a.err # Standard error
+
+echo STARTING AT $(date)
+echo
+
+## ====== Specify here the needed modules
+
+module purge
+module load gcc python/3.7.3
+
+## ====== Get slurm array ID
+
+N=${SLURM_ARRAY_TASK_ID}
+echo Slurm array task ID: $N
+echo
+
+WORKDIR=/scratch/walch/workdir_solar_EW_scenarios_MMH # PATH TO WORKING DIRECTORY
+FLATDIR=/scratch/walch/workdir_solar_EW_scenarios
+
+## ====== User input
+
+PATH_TO_SCRIPT=$WORKDIR\/poa_irradiance.py
+PATH_TO_SCRIPT2=$WORKDIR\/merge_poa_batch.py
+
+PATH_TO_IRRAD=$WORKDIR\/compute_tilted_irrad_batch_flat_EW.py
+PATH_TO_PV=$WORKDIR\/compute_PV_output_batch_flat_EW.py
+
+# input file paths:
+ROOFTOPS=$FLATDIR\/files/flat_roofs.csv # ABSOLUTE PATH TO FILE WITH ROOFTOP INFORMATION
+ROOFS_E=$FLATDIR\/files/flat_roofs_E.csv # ABSOLUTE PATH TO FILE WITH ROOFTOP
+ROOFS_W=$FLATDIR\/files/flat_roofs_W.csv # ABSOLUTE PATH TO FILE WITH ROOFTOP
+
+AVAIL_AREA=$FLATDIR\/files/PRED_avail_area_flat.csv
+
+ALBEDO=/work/hyenergy/output/solar_potential/physical_potential/results/ALB_dhm25_200_CH_ELM30_1000_CPU_prediction.nc
+METEO=/work/hyenergy/output/solar_potential/physical_potential/results/physical_potential_dhm25_200_CH_ELM50_1000_interp.nc # ABSOLUTE PATH TO FILE WITH SOLAR RADIATION DATA
+
+BATCH_SIZE=20000 # 200000 corresponds to 49 batches, 100000 corresponds to 97 batches
+MINIBATCH_SIZE=500
+N_MINIBATCH=`expr $BATCH_SIZE \/ $MINIBATCH_SIZE - 1`
+
+N_BATCHES=95
+
+CURR_ID=`expr $N - 1`
+START_ID=`expr $CURR_ID \* $BATCH_SIZE`
+
+## ===== Execute script
+source activate py3
+
+for YEAR in MMH
+do
+ ## ================== ##
+ ## ====== E ========= ##
+
+ PV_DIR=$WORKDIR\/tmp_$YEAR
+ E_DIR=$WORKDIR\/tmp_$YEAR\/east
+ W_DIR=$WORKDIR\/tmp_$YEAR\/west
+
+ mkdir $PV_DIR
+ mkdir $E_DIR
+ mkdir $W_DIR
+
+ OUTPUT=$E_DIR\/poa_irradiance_$CURR_ID\.nc
+ if test -f "$OUTPUT"; then
+ echo "$OUTPUT exist"
+ else
+ for BATCH in `seq 0 $N_MINIBATCH`
+ do
+ START_BATCH=`expr $START_ID + $BATCH \* $MINIBATCH_SIZE + 1`
+ OUTPUT=$E_DIR\/poa_irradiance_$CURR_ID\_$BATCH\.nc
+ python $PATH_TO_SCRIPT $METEO $ROOFS_E $OUTPUT $ALBEDO $START_BATCH $MINIBATCH_SIZE
+ done
+
+ echo
+ echo FINISHED LOOP AT $(date)
+ echo
+
+ OUTPUT=$E_DIR\/poa_irradiance_$CURR_ID\.nc
+ python $PATH_TO_SCRIPT2 $OUTPUT
+
+ if test -f "$OUTPUT"; then
+ echo "$OUTPUT exist"
+ rm $E_DIR\/poa_irradiance_$CURR_ID\_*.nc
+ fi
+ fi
+
+ echo
+ echo FINISHED POA IRRAD AT $(date)
+ echo
+
+ if test -f "$OUTPUT"; then
+ echo "$OUTPUT exist"
+ TILT_IRRAD_E_FP=$E_DIR\/tilted_irrad_$CURR_ID\.nc
+ python $PATH_TO_IRRAD $OUTPUT $ROOFS_E $TILT_IRRAD_E_FP
+ fi
+
+ echo
+ echo FINISHED TILTED IRRAD AT $(date)
+ echo
+
+ ## ========================= ##
+ ## ========== W ============ ##
+
+ OUTPUT=$W_DIR\/poa_irradiance_$CURR_ID\.nc
+ if test -f "$OUTPUT"; then
+ echo "$OUTPUT exist"
+ else
+ for BATCH in `seq 0 $N_MINIBATCH`
+ do
+ START_BATCH=`expr $START_ID + $BATCH \* $MINIBATCH_SIZE + 1`
+ OUTPUT=$W_DIR\/poa_irradiance_$CURR_ID\_$BATCH\.nc
+ python $PATH_TO_SCRIPT $METEO $ROOFS_W $OUTPUT $ALBEDO $START_BATCH $MINIBATCH_SIZE
+ done
+
+ echo
+ echo FINISHED LOOP AT $(date)
+ echo
+
+ OUTPUT=$W_DIR\/poa_irradiance_$CURR_ID\.nc
+ python $PATH_TO_SCRIPT2 $OUTPUT
+
+ if test -f "$OUTPUT"; then
+ echo "$OUTPUT exist"
+ rm $W_DIR\/poa_irradiance_$CURR_ID\_*.nc
+ fi
+ fi
+
+ echo
+ echo FINISHED POA IRRAD AT $(date)
+ echo
+
+ if test -f "$OUTPUT"; then
+ echo "$OUTPUT exist"
+ TILT_IRRAD_W_FP=$W_DIR\/tilted_irrad_$CURR_ID\.nc
+ python $PATH_TO_IRRAD $OUTPUT $ROOFS_W $TILT_IRRAD_W_FP
+ fi
+
+ echo
+ echo FINISHED TILTED IRRAD AT $(date)
+ echo
+
+ ## ================================ ##
+ ## ========== PV ================== ##
+
+ if test -f "$TILT_IRRAD_E_FP"; then
+ echo "$TILT_IRRAD_E_FP exist"
+ TILT_IRRAD_FP=$PV_DIR\/tilted_irrad_$CURR_ID\.nc
+ PV_POT_FP=$PV_DIR\/pv_potential_$CURR_ID\.nc
+ python $PATH_TO_PV $TILT_IRRAD_E_FP $TILT_IRRAD_W_FP $ROOFTOPS $AVAIL_AREA $TILT_IRRAD_FP $PV_POT_FP
+ fi
+
+ echo
+ echo FINISHED PV POTENTIAL AT $(date)
+
+done
+
+conda deactivate
+
+echo
+echo FINISHED AT $(date)
diff --git a/EW_scenarios_MMH/3_exec_postprocess_flat_EW.sh b/EW_scenarios_MMH/3_exec_postprocess_flat_EW.sh
new file mode 100644
index 0000000..30d9d08
--- /dev/null
+++ b/EW_scenarios_MMH/3_exec_postprocess_flat_EW.sh
@@ -0,0 +1,79 @@
+#!/bin/bash
+
+## == Settings
+
+#SBATCH --job-name=postprocess_hr
+
+#SBATCH --account=leso-pb
+
+#SBATCH --nodes=1
+#SBATCH --mem=125G
+#SBATCH --ntasks=1
+#SBATCH --cpus-per-task=4
+#SBATCH --time=01:00:00
+
+#SBATCH --chdir=./output
+
+#SBATCH --array=1-1 ###97
+
+#SBATCH -o postprocess_hr_%A_%a.out # Standard output
+#SBATCH -e postprocess_hr_%A_%a.err # Standard error
+
+echo STARTING AT $(date)
+echo
+
+## ====== Specify here the needed modules
+
+module purge
+module load gcc python/3.7.3
+
+## ====== Get slurm array ID
+
+N=1 # ${SLURM_ARRAY_TASK_ID}
+echo Slurm array task ID: $N
+echo
+
+WORKDIR=/scratch/walch/workdir_solar_EW_scenarios_MMH # PATH TO WORKING DIRECTORY
+FLATDIR=/scratch/walch/workdir_solar_EW_scenarios
+
+ROOF_FP=$FLATDIR\/files/flat_roofs.csv # ABSOLUTE PATH TO FILE WITH ROOFTOP INFORMATION
+AREA_FP=$FLATDIR\/files/PRED_avail_area_flat.csv
+
+## ====== User input
+
+PATH_TO_SCRIPT_ANNUAL=$WORKDIR\/merge_annual_data.py
+PATH_TO_SCRIPT_COMMUNE=$WORKDIR\/merge_commune_batch.py
+PATH_TO_SCRIPT_COMM_SUM=$WORKDIR\/merge_commune_all.py
+
+N_BATCHES=95
+LAST_BATCH=`expr $N_BATCHES - 1`
+START_BATCH=0
+
+## ===== Variable definitions
+
+CURR_ID=`expr $N - 1`
+
+## ===== Execute script
+source activate py3_geo
+
+for YEAR in MMH
+do
+ # Save annual data
+ PV_PATH=$WORKDIR\/tmp_$YEAR
+ OUTPATH=$WORKDIR\/files_$YEAR
+
+ echo
+ echo CHECKING EXISTANCE AND CHECKSUM OF BATCH FILES
+ echo
+ python $WORKDIR\/check_files_flat_EW.py $PV_PATH $N_BATCHES
+
+ mkdir $OUTPATH
+
+ python $PATH_TO_SCRIPT_ANNUAL $PV_PATH $ROOF_FP $AREA_FP $OUTPATH\/$YEAR\_annual_roofs_flat.csv
+
+done
+
+conda deactivate
+
+echo
+echo FINISHED AT $(date)
diff --git a/EW_scenarios_MMH/5_Postprocess_flat_EW.ipynb b/EW_scenarios_MMH/5_Postprocess_flat_EW.ipynb
new file mode 100644
index 0000000..bfcf9fb
--- /dev/null
+++ b/EW_scenarios_MMH/5_Postprocess_flat_EW.ipynb
@@ -0,0 +1,3744 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/home/walch/.local/lib/python3.6/site-packages/dask/config.py:129: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.\n",
+ " data = yaml.load(f.read()) or {}\n",
+ "/home/walch/.local/lib/python3.6/site-packages/distributed/config.py:20: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.\n",
+ " defaults = yaml.load(f)\n"
+ ]
+ }
+ ],
+ "source": [
+ "import pandas as pd\n",
+ "import xarray as xr\n",
+ "import numpy as np\n",
+ "\n",
+ "import os\n",
+ "import time\n",
+ "\n",
+ "from pvlib.tools import cosd\n",
+ "\n",
+ "%matplotlib notebook\n",
+ "import matplotlib.pyplot as plt\n",
+ "import calendar"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "base_fp = '/scratch/walch/workdir_solar_MMH_base/files_MMH_base/' # '/work/hyenergy/output/solar_potential/technical_potential'\n",
+ "EW_path = '/scratch/walch/workdir_solar_EW_scenarios_MMH'"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "YEARS = [2010, 2016, 2017, 2018, 2019]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Load annual files and replace with new roofs"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "ROOF_FP = '/work/hyenergy/output/solar_potential/geographic_potential/CH_ROOFS_all_replaced.csv'\n",
+ "roofs = pd.read_csv( ROOF_FP, usecols = ['DF_UID', 'NEIGUNG', 'AUSRICHTUNG'] ).set_index('DF_UID')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/home/walch/miniconda3/envs/py3_geo/lib/python3.6/site-packages/numpy/lib/arraysetops.py:569: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
+ " mask |= (ar1 == a)\n"
+ ]
+ }
+ ],
+ "source": [
+ "annual_roofs = pd.read_csv( os.path.join(base_fp, 'MMH_base_annual_roofs_flat.csv' ), index_col = 0 )\n",
+ "flat_roofs = pd.read_csv( os.path.join(EW_path, 'files_MMH', 'MMH_annual_roofs_flat.csv' ), \n",
+ " index_col = 0 )"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "annual_roofs = annual_roofs.merge(roofs, right_index = True, left_index = True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>available_area</th>\n",
+ " <th>BFS_NUMMER</th>\n",
+ " <th>suitable</th>\n",
+ " <th>Gt_kWh_m2</th>\n",
+ " <th>EPV_kWh</th>\n",
+ " <th>NEIGUNG</th>\n",
+ " <th>AUSRICHTUNG</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>DF_UID</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>7</th>\n",
+ " <td>2.115733</td>\n",
+ " <td>2823.0</td>\n",
+ " <td>0</td>\n",
+ " <td>1035.63270</td>\n",
+ " <td>303.56158</td>\n",
+ " <td>9</td>\n",
+ " <td>-81.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>33</th>\n",
+ " <td>6.049142</td>\n",
+ " <td>2823.0</td>\n",
+ " <td>0</td>\n",
+ " <td>910.40090</td>\n",
+ " <td>872.53613</td>\n",
+ " <td>0</td>\n",
+ " <td>0.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>49</th>\n",
+ " <td>15.384748</td>\n",
+ " <td>2887.0</td>\n",
+ " <td>0</td>\n",
+ " <td>826.21826</td>\n",
+ " <td>1761.91240</td>\n",
+ " <td>9</td>\n",
+ " <td>119.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>50</th>\n",
+ " <td>195.664046</td>\n",
+ " <td>2886.0</td>\n",
+ " <td>1</td>\n",
+ " <td>1265.25380</td>\n",
+ " <td>39211.78000</td>\n",
+ " <td>0</td>\n",
+ " <td>0.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>51</th>\n",
+ " <td>167.634762</td>\n",
+ " <td>2886.0</td>\n",
+ " <td>1</td>\n",
+ " <td>1207.09130</td>\n",
+ " <td>32131.07800</td>\n",
+ " <td>0</td>\n",
+ " <td>0.0</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " available_area BFS_NUMMER suitable Gt_kWh_m2 EPV_kWh \\\n",
+ "DF_UID \n",
+ "7 2.115733 2823.0 0 1035.63270 303.56158 \n",
+ "33 6.049142 2823.0 0 910.40090 872.53613 \n",
+ "49 15.384748 2887.0 0 826.21826 1761.91240 \n",
+ "50 195.664046 2886.0 1 1265.25380 39211.78000 \n",
+ "51 167.634762 2886.0 1 1207.09130 32131.07800 \n",
+ "\n",
+ " NEIGUNG AUSRICHTUNG \n",
+ "DF_UID \n",
+ "7 9 -81.0 \n",
+ "33 0 0.0 \n",
+ "49 9 119.0 \n",
+ "50 0 0.0 \n",
+ "51 0 0.0 "
+ ]
+ },
+ "execution_count": 7,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "annual_roofs.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>available_area</th>\n",
+ " <th>BFS_NUMMER</th>\n",
+ " <th>suitable</th>\n",
+ " <th>Gt_kWh_m2</th>\n",
+ " <th>EPV_kWh</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>DF_UID</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>7</th>\n",
+ " <td>2.115733</td>\n",
+ " <td>2823.0</td>\n",
+ " <td>0</td>\n",
+ " <td>971.50073</td>\n",
+ " <td>285.93964</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>33</th>\n",
+ " <td>12.098284</td>\n",
+ " <td>2823.0</td>\n",
+ " <td>1</td>\n",
+ " <td>779.19520</td>\n",
+ " <td>1333.53380</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>49</th>\n",
+ " <td>15.384748</td>\n",
+ " <td>2887.0</td>\n",
+ " <td>1</td>\n",
+ " <td>864.62305</td>\n",
+ " <td>1854.49840</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>50</th>\n",
+ " <td>391.328091</td>\n",
+ " <td>2886.0</td>\n",
+ " <td>1</td>\n",
+ " <td>1084.63280</td>\n",
+ " <td>59984.99000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>51</th>\n",
+ " <td>335.269524</td>\n",
+ " <td>2886.0</td>\n",
+ " <td>1</td>\n",
+ " <td>1032.63990</td>\n",
+ " <td>49039.25800</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " available_area BFS_NUMMER suitable Gt_kWh_m2 EPV_kWh\n",
+ "DF_UID \n",
+ "7 2.115733 2823.0 0 971.50073 285.93964\n",
+ "33 12.098284 2823.0 1 779.19520 1333.53380\n",
+ "49 15.384748 2887.0 1 864.62305 1854.49840\n",
+ "50 391.328091 2886.0 1 1084.63280 59984.99000\n",
+ "51 335.269524 2886.0 1 1032.63990 49039.25800"
+ ]
+ },
+ "execution_count": 8,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "flat_roofs.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "baseline = xr.open_mfdataset(os.path.join(base_fp, '*.nc'))\n",
+ "base_sel = baseline.sel(DF_UID = baseline.DF_UID.isin(flat_roofs.index))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>yearly_PV_kWh</th>\n",
+ " <th>yearly_kWh_m2</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>DF_UID</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>7</th>\n",
+ " <td>303.561584</td>\n",
+ " <td>1035.632690</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>33</th>\n",
+ " <td>872.536133</td>\n",
+ " <td>910.400879</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>49</th>\n",
+ " <td>1761.912354</td>\n",
+ " <td>826.218262</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>50</th>\n",
+ " <td>39211.781250</td>\n",
+ " <td>1265.253784</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>51</th>\n",
+ " <td>32131.078125</td>\n",
+ " <td>1207.091309</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>...</th>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9890002</th>\n",
+ " <td>0.000000</td>\n",
+ " <td>1104.991943</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9890020</th>\n",
+ " <td>1079.234985</td>\n",
+ " <td>975.792725</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9890021</th>\n",
+ " <td>204.145859</td>\n",
+ " <td>900.313049</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9890022</th>\n",
+ " <td>22877.785156</td>\n",
+ " <td>914.135376</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9890023</th>\n",
+ " <td>10378.278320</td>\n",
+ " <td>940.532776</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>1888387 rows × 2 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " yearly_PV_kWh yearly_kWh_m2\n",
+ "DF_UID \n",
+ "7 303.561584 1035.632690\n",
+ "33 872.536133 910.400879\n",
+ "49 1761.912354 826.218262\n",
+ "50 39211.781250 1265.253784\n",
+ "51 32131.078125 1207.091309\n",
+ "... ... ...\n",
+ "9890002 0.000000 1104.991943\n",
+ "9890020 1079.234985 975.792725\n",
+ "9890021 204.145859 900.313049\n",
+ "9890022 22877.785156 914.135376\n",
+ "9890023 10378.278320 940.532776\n",
+ "\n",
+ "[1888387 rows x 2 columns]"
+ ]
+ },
+ "execution_count": 10,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "base_sel[['yearly_PV_kWh', 'yearly_kWh_m2']].to_dataframe()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Compute difference in potential"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/home/walch/miniconda3/envs/py3_geo/lib/python3.6/site-packages/numpy/lib/arraysetops.py:569: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
+ " mask |= (ar1 == a)\n"
+ ]
+ }
+ ],
+ "source": [
+ "fp = '/work/hyenergy/output/solar_potential/technical_potential'\n",
+ "V0_estim = pd.read_csv( os.path.join(fp, 'pv_potential_annual_shared_v2.csv' ), index_col = 0 )"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "V0_estim['suitable'] = ((V0_estim.available_area >= 8) & (abs(roofs.AUSRICHTUNG) <= 90)).astype(int)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "V0_estim['PV_suitable_kWh'] = V0_estim.suitable * V0_estim.pv_potential_kWh_a"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "24.579204950538372"
+ ]
+ },
+ "execution_count": 14,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "V0_estim.PV_suitable_kWh.sum() / 1e9"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Check hypotheses"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "8.080218603324699"
+ ]
+ },
+ "execution_count": 15,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "V0_estim.loc[annual_roofs.index].PV_suitable_kWh.sum() / 1e9"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "8.939524273593712"
+ ]
+ },
+ "execution_count": 16,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "(annual_roofs.suitable * annual_roofs.EPV_kWh).sum() / 1e9"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "14.59903168334689"
+ ]
+ },
+ "execution_count": 17,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "(flat_roofs.suitable * flat_roofs.EPV_kWh).sum() / 1e9"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "5.584694484420076"
+ ]
+ },
+ "execution_count": 18,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "V0_estim[roofs.NEIGUNG == 0].PV_suitable_kWh.sum() / 1e9"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "6.448646721159863"
+ ]
+ },
+ "execution_count": 19,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "V0_estim[roofs.NEIGUNG == 0].PV_suitable_kWh.sum() / 1e9 * 1.1547 # 1/cos(30)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "8.082973448201894"
+ ]
+ },
+ "execution_count": 20,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "V0_estim[roofs.NEIGUNG <= 10].PV_suitable_kWh.sum() / 1e9"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "10.567956204648596"
+ ]
+ },
+ "execution_count": 21,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "V0_estim[roofs.NEIGUNG <= 10].pv_potential_kWh_a.sum() / 1e9"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Load hourly data"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
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+ "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+ "Dimensions: (DF_UID: 1888887, timestamp: 148)\n",
+ "Coordinates:\n",
+ " * DF_UID (DF_UID) int64 7 33 49 50 ... 9890021 9890022 9890023\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T08:00:00 ... 200...\n",
+ "Data variables:\n",
+ " pv_potential (DF_UID, timestamp) float32 dask.array&lt;chunksize=(1888887, 148), meta=np.ndarray&gt;\n",
+ " tilted_irradiance (DF_UID, timestamp) float32 dask.array&lt;chunksize=(1888887, 148), meta=np.ndarray&gt;</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-679cc99e-840a-4851-8515-2e2e04ac9331' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-679cc99e-840a-4851-8515-2e2e04ac9331' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>DF_UID</span>: 1888887</li><li><span class='xr-has-index'>timestamp</span>: 148</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-92323371-30bc-46a5-b388-fd502f3e26b2' class='xr-section-summary-in' type='checkbox' checked><label for='section-92323371-30bc-46a5-b388-fd502f3e26b2' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>DF_UID</span></div><div class='xr-var-dims'>(DF_UID)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>7 33 49 ... 9890021 9890022 9890023</div><input id='attrs-1f11f923-3a3f-481e-8d59-6af1d07ecd47' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1f11f923-3a3f-481e-8d59-6af1d07ecd47' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c95397ed-c30a-416f-9806-3856beee0d23' class='xr-var-data-in' type='checkbox'><label for='data-c95397ed-c30a-416f-9806-3856beee0d23' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 7, 33, 49, ..., 9890021, 9890022, 9890023])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>timestamp</span></div><div class='xr-var-dims'>(timestamp)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2001-01-15T08:00:00 ... 2001-12-...</div><input id='attrs-0b57515e-038a-4e82-b4aa-41f6a738e8fc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0b57515e-038a-4e82-b4aa-41f6a738e8fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d75d398-affb-4532-b1e0-2ea7fb9e21b6' class='xr-var-data-in' type='checkbox'><label for='data-9d75d398-affb-4532-b1e0-2ea7fb9e21b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2001-01-15T08:00:00.000000000&#x27;, &#x27;2001-01-15T09:00:00.000000000&#x27;,\n",
+ " &#x27;2001-01-15T10:00:00.000000000&#x27;, &#x27;2001-01-15T11:00:00.000000000&#x27;,\n",
+ " &#x27;2001-01-15T12:00:00.000000000&#x27;, &#x27;2001-01-15T13:00:00.000000000&#x27;,\n",
+ " &#x27;2001-01-15T14:00:00.000000000&#x27;, &#x27;2001-01-15T15:00:00.000000000&#x27;,\n",
+ " &#x27;2001-01-15T16:00:00.000000000&#x27;, &#x27;2001-02-15T07:00:00.000000000&#x27;,\n",
+ " &#x27;2001-02-15T08:00:00.000000000&#x27;, &#x27;2001-02-15T09:00:00.000000000&#x27;,\n",
+ " &#x27;2001-02-15T10:00:00.000000000&#x27;, &#x27;2001-02-15T11:00:00.000000000&#x27;,\n",
+ " &#x27;2001-02-15T12:00:00.000000000&#x27;, &#x27;2001-02-15T13:00:00.000000000&#x27;,\n",
+ " &#x27;2001-02-15T14:00:00.000000000&#x27;, &#x27;2001-02-15T15:00:00.000000000&#x27;,\n",
+ " &#x27;2001-02-15T16:00:00.000000000&#x27;, &#x27;2001-03-15T06:00:00.000000000&#x27;,\n",
+ " &#x27;2001-03-15T07:00:00.000000000&#x27;, &#x27;2001-03-15T08:00:00.000000000&#x27;,\n",
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+ " &#x27;2001-11-15T07:00:00.000000000&#x27;, &#x27;2001-11-15T08:00:00.000000000&#x27;,\n",
+ " &#x27;2001-11-15T09:00:00.000000000&#x27;, &#x27;2001-11-15T10:00:00.000000000&#x27;,\n",
+ " &#x27;2001-11-15T11:00:00.000000000&#x27;, &#x27;2001-11-15T12:00:00.000000000&#x27;,\n",
+ " &#x27;2001-11-15T13:00:00.000000000&#x27;, &#x27;2001-11-15T14:00:00.000000000&#x27;,\n",
+ " &#x27;2001-11-15T15:00:00.000000000&#x27;, &#x27;2001-12-15T07:00:00.000000000&#x27;,\n",
+ " &#x27;2001-12-15T08:00:00.000000000&#x27;, &#x27;2001-12-15T09:00:00.000000000&#x27;,\n",
+ " &#x27;2001-12-15T10:00:00.000000000&#x27;, &#x27;2001-12-15T11:00:00.000000000&#x27;,\n",
+ " &#x27;2001-12-15T12:00:00.000000000&#x27;, &#x27;2001-12-15T13:00:00.000000000&#x27;,\n",
+ " &#x27;2001-12-15T14:00:00.000000000&#x27;, &#x27;2001-12-15T15:00:00.000000000&#x27;],\n",
+ " dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9703c7cc-c96c-401d-b747-bca9f8e09ae2' class='xr-section-summary-in' type='checkbox' checked><label for='section-9703c7cc-c96c-401d-b747-bca9f8e09ae2' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>pv_potential</span></div><div class='xr-var-dims'>(DF_UID, timestamp)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1888887, 148), meta=np.ndarray&gt;</div><input id='attrs-5d68a3fa-12d6-4d86-90bf-5489f5246543' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5d68a3fa-12d6-4d86-90bf-5489f5246543' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ab4539a-ea69-4217-9223-7b19510825d2' class='xr-var-data-in' type='checkbox'><label for='data-9ab4539a-ea69-4217-9223-7b19510825d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>dask.array&lt;open_dataset-72c225c5f0bde769ecc8eefde5880015pv_potential, shape=(1888887, 148), dtype=float32, chunksize=(1888887, 148)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tilted_irradiance</span></div><div class='xr-var-dims'>(DF_UID, timestamp)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1888887, 148), meta=np.ndarray&gt;</div><input id='attrs-eca2953a-74c7-40a2-ac72-35104ae74116' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-eca2953a-74c7-40a2-ac72-35104ae74116' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4d7d3aa-44e8-4fef-a307-58cb14d511cb' class='xr-var-data-in' type='checkbox'><label for='data-f4d7d3aa-44e8-4fef-a307-58cb14d511cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>dask.array&lt;open_dataset-eb818b4400fc044edde25c5ec315c291tilted_irradiance, shape=(1888887, 148), dtype=float32, chunksize=(1888887, 148)&gt;</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-551394f5-4dba-4cd2-8aaf-de6bd7eafc43' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-551394f5-4dba-4cd2-8aaf-de6bd7eafc43' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+ ],
+ "text/plain": [
+ "<xarray.Dataset>\n",
+ "Dimensions: (DF_UID: 1888887, timestamp: 148)\n",
+ "Coordinates:\n",
+ " * DF_UID (DF_UID) int64 7 33 49 50 ... 9890021 9890022 9890023\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T08:00:00 ... 200...\n",
+ "Data variables:\n",
+ " pv_potential (DF_UID, timestamp) float32 dask.array<chunksize=(1888887, 148), meta=np.ndarray>\n",
+ " tilted_irradiance (DF_UID, timestamp) float32 dask.array<chunksize=(1888887, 148), meta=np.ndarray>"
+ ]
+ },
+ "execution_count": 22,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "EW_hourly = xr.open_mfdataset(os.path.join(EW_path, 'files_MMH', '*.nc'))[['pv_potential', 'tilted_irradiance']]\n",
+ "EW_hourly"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "base_hourly = base_sel[['pv_potential', 'tilted_irradiance']]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "cmp_ID = 49\n",
+ "data_hourly_sel = EW_hourly.sel(DF_UID = cmp_ID).drop('DF_UID')\n",
+ "base_hourly_sel = base_hourly.sel(DF_UID = cmp_ID).drop('DF_UID')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 28,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "data_hourly_sel.coords['timestamp'] = (data_hourly_sel.timestamp.dt.month-1) * 24 + data_hourly_sel.timestamp.dt.hour\n",
+ "data_hourly_sel = xr.merge([xr.DataArray(coords = {'timestamp' : range(288)}, dims = ['timestamp'] ).rename('dummy'),\n",
+ " data_hourly_sel ] ).fillna(0)\n",
+ "\n",
+ "base_hourly_sel.coords['timestamp'] = (base_hourly_sel.timestamp.dt.month-1) * 24 + base_hourly_sel.timestamp.dt.hour\n",
+ "base_hourly_sel = xr.merge([xr.DataArray(coords = {'timestamp' : range(288)}, dims = ['timestamp'] ).rename('dummy'),\n",
+ " base_hourly_sel ] ).fillna(0)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 29,
+ "metadata": {},
+ "outputs": [
+ {
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+ " var icon_img = $('<span/>');\n",
+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+ " icon_img.addClass(image);\n",
+ " icon_img.addClass('ui-corner-all');\n",
+ "\n",
+ " var tooltip_span = $('<span/>');\n",
+ " tooltip_span.addClass('ui-button-text');\n",
+ " tooltip_span.html(tooltip);\n",
+ "\n",
+ " button.append(icon_img);\n",
+ " button.append(tooltip_span);\n",
+ "\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " var fmt_picker_span = $('<span/>');\n",
+ "\n",
+ " var fmt_picker = $('<select/>');\n",
+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+ " fmt_picker_span.append(fmt_picker);\n",
+ " nav_element.append(fmt_picker_span);\n",
+ " this.format_dropdown = fmt_picker[0];\n",
+ "\n",
+ " for (var ind in mpl.extensions) {\n",
+ " var fmt = mpl.extensions[ind];\n",
+ " var option = $(\n",
+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+ " fmt_picker.append(option);\n",
+ " }\n",
+ "\n",
+ " // Add hover states to the ui-buttons\n",
+ " $( \".ui-button\" ).hover(\n",
+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
+ " );\n",
+ "\n",
+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
+ " // which will in turn request a refresh of the image.\n",
+ " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.send_message = function(type, properties) {\n",
+ " properties['type'] = type;\n",
+ " properties['figure_id'] = this.id;\n",
+ " this.ws.send(JSON.stringify(properties));\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.send_draw_message = function() {\n",
+ " if (!this.waiting) {\n",
+ " this.waiting = true;\n",
+ " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " var format_dropdown = fig.format_dropdown;\n",
+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
+ " fig.ondownload(fig, format);\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
+ " var size = msg['size'];\n",
+ " if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
+ " fig._resize_canvas(size[0], size[1]);\n",
+ " fig.send_message(\"refresh\", {});\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+ " var x0 = msg['x0'] / mpl.ratio;\n",
+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+ " var x1 = msg['x1'] / mpl.ratio;\n",
+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+ " x0 = Math.floor(x0) + 0.5;\n",
+ " y0 = Math.floor(y0) + 0.5;\n",
+ " x1 = Math.floor(x1) + 0.5;\n",
+ " y1 = Math.floor(y1) + 0.5;\n",
+ " var min_x = Math.min(x0, x1);\n",
+ " var min_y = Math.min(y0, y1);\n",
+ " var width = Math.abs(x1 - x0);\n",
+ " var height = Math.abs(y1 - y0);\n",
+ "\n",
+ " fig.rubberband_context.clearRect(\n",
+ " 0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
+ "\n",
+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
+ " // Updates the figure title.\n",
+ " fig.header.textContent = msg['label'];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
+ " var cursor = msg['cursor'];\n",
+ " switch(cursor)\n",
+ " {\n",
+ " case 0:\n",
+ " cursor = 'pointer';\n",
+ " break;\n",
+ " case 1:\n",
+ " cursor = 'default';\n",
+ " break;\n",
+ " case 2:\n",
+ " cursor = 'crosshair';\n",
+ " break;\n",
+ " case 3:\n",
+ " cursor = 'move';\n",
+ " break;\n",
+ " }\n",
+ " fig.rubberband_canvas.style.cursor = cursor;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
+ " fig.message.textContent = msg['message'];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
+ " // Request the server to send over a new figure.\n",
+ " fig.send_draw_message();\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
+ " fig.image_mode = msg['mode'];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
+ " // Called whenever the canvas gets updated.\n",
+ " this.send_message(\"ack\", {});\n",
+ "}\n",
+ "\n",
+ "// A function to construct a web socket function for onmessage handling.\n",
+ "// Called in the figure constructor.\n",
+ "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
+ " return function socket_on_message(evt) {\n",
+ " if (evt.data instanceof Blob) {\n",
+ " /* FIXME: We get \"Resource interpreted as Image but\n",
+ " * transferred with MIME type text/plain:\" errors on\n",
+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
+ " * to be part of the websocket stream */\n",
+ " evt.data.type = \"image/png\";\n",
+ "\n",
+ " /* Free the memory for the previous frames */\n",
+ " if (fig.imageObj.src) {\n",
+ " (window.URL || window.webkitURL).revokeObjectURL(\n",
+ " fig.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+ " evt.data);\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
+ " fig.imageObj.src = evt.data;\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var msg = JSON.parse(evt.data);\n",
+ " var msg_type = msg['type'];\n",
+ "\n",
+ " // Call the \"handle_{type}\" callback, which takes\n",
+ " // the figure and JSON message as its only arguments.\n",
+ " try {\n",
+ " var callback = fig[\"handle_\" + msg_type];\n",
+ " } catch (e) {\n",
+ " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " if (callback) {\n",
+ " try {\n",
+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
+ " callback(fig, msg);\n",
+ " } catch (e) {\n",
+ " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+ " }\n",
+ " }\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
+ "mpl.findpos = function(e) {\n",
+ " //this section is from http://www.quirksmode.org/js/events_properties.html\n",
+ " var targ;\n",
+ " if (!e)\n",
+ " e = window.event;\n",
+ " if (e.target)\n",
+ " targ = e.target;\n",
+ " else if (e.srcElement)\n",
+ " targ = e.srcElement;\n",
+ " if (targ.nodeType == 3) // defeat Safari bug\n",
+ " targ = targ.parentNode;\n",
+ "\n",
+ " // jQuery normalizes the pageX and pageY\n",
+ " // pageX,Y are the mouse positions relative to the document\n",
+ " // offset() returns the position of the element relative to the document\n",
+ " var x = e.pageX - $(targ).offset().left;\n",
+ " var y = e.pageY - $(targ).offset().top;\n",
+ "\n",
+ " return {\"x\": x, \"y\": y};\n",
+ "};\n",
+ "\n",
+ "/*\n",
+ " * return a copy of an object with only non-object keys\n",
+ " * we need this to avoid circular references\n",
+ " * http://stackoverflow.com/a/24161582/3208463\n",
+ " */\n",
+ "function simpleKeys (original) {\n",
+ " return Object.keys(original).reduce(function (obj, key) {\n",
+ " if (typeof original[key] !== 'object')\n",
+ " obj[key] = original[key]\n",
+ " return obj;\n",
+ " }, {});\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.mouse_event = function(event, name) {\n",
+ " var canvas_pos = mpl.findpos(event)\n",
+ "\n",
+ " if (name === 'button_press')\n",
+ " {\n",
+ " this.canvas.focus();\n",
+ " this.canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " var x = canvas_pos.x * mpl.ratio;\n",
+ " var y = canvas_pos.y * mpl.ratio;\n",
+ "\n",
+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
+ " step: event.step,\n",
+ " guiEvent: simpleKeys(event)});\n",
+ "\n",
+ " /* This prevents the web browser from automatically changing to\n",
+ " * the text insertion cursor when the button is pressed. We want\n",
+ " * to control all of the cursor setting manually through the\n",
+ " * 'cursor' event from matplotlib */\n",
+ " event.preventDefault();\n",
+ " return false;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " // Handle any extra behaviour associated with a key event\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.key_event = function(event, name) {\n",
+ "\n",
+ " // Prevent repeat events\n",
+ " if (name == 'key_press')\n",
+ " {\n",
+ " if (event.which === this._key)\n",
+ " return;\n",
+ " else\n",
+ " this._key = event.which;\n",
+ " }\n",
+ " if (name == 'key_release')\n",
+ " this._key = null;\n",
+ "\n",
+ " var value = '';\n",
+ " if (event.ctrlKey && event.which != 17)\n",
+ " value += \"ctrl+\";\n",
+ " if (event.altKey && event.which != 18)\n",
+ " value += \"alt+\";\n",
+ " if (event.shiftKey && event.which != 16)\n",
+ " value += \"shift+\";\n",
+ "\n",
+ " value += 'k';\n",
+ " value += event.which.toString();\n",
+ "\n",
+ " this._key_event_extra(event, name);\n",
+ "\n",
+ " this.send_message(name, {key: value,\n",
+ " guiEvent: simpleKeys(event)});\n",
+ " return false;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+ " if (name == 'download') {\n",
+ " this.handle_save(this, null);\n",
+ " } else {\n",
+ " this.send_message(\"toolbar_button\", {name: name});\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+ " this.message.textContent = tooltip;\n",
+ "};\n",
+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+ "\n",
+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+ "\n",
+ "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
+ " // object with the appropriate methods. Currently this is a non binary\n",
+ " // socket, so there is still some room for performance tuning.\n",
+ " var ws = {};\n",
+ "\n",
+ " ws.close = function() {\n",
+ " comm.close()\n",
+ " };\n",
+ " ws.send = function(m) {\n",
+ " //console.log('sending', m);\n",
+ " comm.send(m);\n",
+ " };\n",
+ " // Register the callback with on_msg.\n",
+ " comm.on_msg(function(msg) {\n",
+ " //console.log('receiving', msg['content']['data'], msg);\n",
+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+ " ws.onmessage(msg['content']['data'])\n",
+ " });\n",
+ " return ws;\n",
+ "}\n",
+ "\n",
+ "mpl.mpl_figure_comm = function(comm, msg) {\n",
+ " // This is the function which gets called when the mpl process\n",
+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+ "\n",
+ " var id = msg.content.data.id;\n",
+ " // Get hold of the div created by the display call when the Comm\n",
+ " // socket was opened in Python.\n",
+ " var element = $(\"#\" + id);\n",
+ " var ws_proxy = comm_websocket_adapter(comm)\n",
+ "\n",
+ " function ondownload(figure, format) {\n",
+ " window.open(figure.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " var fig = new mpl.figure(id, ws_proxy,\n",
+ " ondownload,\n",
+ " element.get(0));\n",
+ "\n",
+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
+ " // web socket which is closed, not our websocket->open comm proxy.\n",
+ " ws_proxy.onopen();\n",
+ "\n",
+ " fig.parent_element = element.get(0);\n",
+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+ " if (!fig.cell_info) {\n",
+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var output_index = fig.cell_info[2]\n",
+ " var cell = fig.cell_info[0];\n",
+ "\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+ " var width = fig.canvas.width/mpl.ratio\n",
+ " fig.root.unbind('remove')\n",
+ "\n",
+ " // Update the output cell to use the data from the current canvas.\n",
+ " fig.push_to_output();\n",
+ " var dataURL = fig.canvas.toDataURL();\n",
+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
+ " // the notebook keyboard shortcuts fail.\n",
+ " IPython.keyboard_manager.enable()\n",
+ " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+ " fig.close_ws(fig, msg);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+ " fig.send_message('closing', msg);\n",
+ " // fig.ws.close()\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+ " // Turn the data on the canvas into data in the output cell.\n",
+ " var width = this.canvas.width/mpl.ratio\n",
+ " var dataURL = this.canvas.toDataURL();\n",
+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
+ " // Tell IPython that the notebook contents must change.\n",
+ " IPython.notebook.set_dirty(true);\n",
+ " this.send_message(\"ack\", {});\n",
+ " var fig = this;\n",
+ " // Wait a second, then push the new image to the DOM so\n",
+ " // that it is saved nicely (might be nice to debounce this).\n",
+ " setTimeout(function () { fig.push_to_output() }, 1000);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\n",
+ " for(var toolbar_ind in mpl.toolbar_items){\n",
+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+ "\n",
+ " if (!name) { continue; };\n",
+ "\n",
+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " // Add the status bar.\n",
+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "\n",
+ " // Add the close button to the window.\n",
+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+ " buttongrp.append(button);\n",
+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+ " titlebar.prepend(buttongrp);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(el){\n",
+ " var fig = this\n",
+ " el.on(\"remove\", function(){\n",
+ "\tfig.close_ws(fig, {});\n",
+ " });\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+ " // this is important to make the div 'focusable\n",
+ " el.attr('tabindex', 0)\n",
+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
+ " // off when our div gets focus\n",
+ "\n",
+ " // location in version 3\n",
+ " if (IPython.notebook.keyboard_manager) {\n",
+ " IPython.notebook.keyboard_manager.register_events(el);\n",
+ " }\n",
+ " else {\n",
+ " // location in version 2\n",
+ " IPython.keyboard_manager.register_events(el);\n",
+ " }\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " var manager = IPython.notebook.keyboard_manager;\n",
+ " if (!manager)\n",
+ " manager = IPython.keyboard_manager;\n",
+ "\n",
+ " // Check for shift+enter\n",
+ " if (event.shiftKey && event.which == 13) {\n",
+ " this.canvas_div.blur();\n",
+ " // select the cell after this one\n",
+ " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+ " IPython.notebook.select(index + 1);\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " fig.ondownload(fig, null);\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.find_output_cell = function(html_output) {\n",
+ " // Return the cell and output element which can be found *uniquely* in the notebook.\n",
+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
+ " // IPython event is triggered only after the cells have been serialised, which for\n",
+ " // our purposes (turning an active figure into a static one), is too late.\n",
+ " var cells = IPython.notebook.get_cells();\n",
+ " var ncells = cells.length;\n",
+ " for (var i=0; i<ncells; i++) {\n",
+ " var cell = cells[i];\n",
+ " if (cell.cell_type === 'code'){\n",
+ " for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
+ " var data = cell.output_area.outputs[j];\n",
+ " if (data.data) {\n",
+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
+ " data = data.data;\n",
+ " }\n",
+ " if (data['text/html'] == html_output) {\n",
+ " return [cell, data, j];\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "// Register the function which deals with the matplotlib target/channel.\n",
+ "// The kernel may be null if the page has been refreshed.\n",
+ "if (IPython.notebook.kernel != null) {\n",
+ " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
+ "}\n"
+ ],
+ "text/plain": [
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\" width=\"1000\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/javascript": [
+ "/* Put everything inside the global mpl namespace */\n",
+ "window.mpl = {};\n",
+ "\n",
+ "\n",
+ "mpl.get_websocket_type = function() {\n",
+ " if (typeof(WebSocket) !== 'undefined') {\n",
+ " return WebSocket;\n",
+ " } else if (typeof(MozWebSocket) !== 'undefined') {\n",
+ " return MozWebSocket;\n",
+ " } else {\n",
+ " alert('Your browser does not have WebSocket support. ' +\n",
+ " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
+ " 'Firefox 4 and 5 are also supported but you ' +\n",
+ " 'have to enable WebSockets in about:config.');\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
+ " this.id = figure_id;\n",
+ "\n",
+ " this.ws = websocket;\n",
+ "\n",
+ " this.supports_binary = (this.ws.binaryType != undefined);\n",
+ "\n",
+ " if (!this.supports_binary) {\n",
+ " var warnings = document.getElementById(\"mpl-warnings\");\n",
+ " if (warnings) {\n",
+ " warnings.style.display = 'block';\n",
+ " warnings.textContent = (\n",
+ " \"This browser does not support binary websocket messages. \" +\n",
+ " \"Performance may be slow.\");\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " this.imageObj = new Image();\n",
+ "\n",
+ " this.context = undefined;\n",
+ " this.message = undefined;\n",
+ " this.canvas = undefined;\n",
+ " this.rubberband_canvas = undefined;\n",
+ " this.rubberband_context = undefined;\n",
+ " this.format_dropdown = undefined;\n",
+ "\n",
+ " this.image_mode = 'full';\n",
+ "\n",
+ " this.root = $('<div/>');\n",
+ " this._root_extra_style(this.root)\n",
+ " this.root.attr('style', 'display: inline-block');\n",
+ "\n",
+ " $(parent_element).append(this.root);\n",
+ "\n",
+ " this._init_header(this);\n",
+ " this._init_canvas(this);\n",
+ " this._init_toolbar(this);\n",
+ "\n",
+ " var fig = this;\n",
+ "\n",
+ " this.waiting = false;\n",
+ "\n",
+ " this.ws.onopen = function () {\n",
+ " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+ " fig.send_message(\"send_image_mode\", {});\n",
+ " if (mpl.ratio != 1) {\n",
+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+ " }\n",
+ " fig.send_message(\"refresh\", {});\n",
+ " }\n",
+ "\n",
+ " this.imageObj.onload = function() {\n",
+ " if (fig.image_mode == 'full') {\n",
+ " // Full images could contain transparency (where diff images\n",
+ " // almost always do), so we need to clear the canvas so that\n",
+ " // there is no ghosting.\n",
+ " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+ " }\n",
+ " fig.context.drawImage(fig.imageObj, 0, 0);\n",
+ " };\n",
+ "\n",
+ " this.imageObj.onunload = function() {\n",
+ " fig.ws.close();\n",
+ " }\n",
+ "\n",
+ " this.ws.onmessage = this._make_on_message_function(this);\n",
+ "\n",
+ " this.ondownload = ondownload;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_header = function() {\n",
+ " var titlebar = $(\n",
+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+ " 'ui-helper-clearfix\"/>');\n",
+ " var titletext = $(\n",
+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+ " 'text-align: center; padding: 3px;\"/>');\n",
+ " titlebar.append(titletext)\n",
+ " this.root.append(titlebar);\n",
+ " this.header = titletext[0];\n",
+ "}\n",
+ "\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_canvas = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var canvas_div = $('<div/>');\n",
+ "\n",
+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+ "\n",
+ " function canvas_keyboard_event(event) {\n",
+ " return fig.key_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+ " this.canvas_div = canvas_div\n",
+ " this._canvas_extra_style(canvas_div)\n",
+ " this.root.append(canvas_div);\n",
+ "\n",
+ " var canvas = $('<canvas/>');\n",
+ " canvas.addClass('mpl-canvas');\n",
+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+ "\n",
+ " this.canvas = canvas[0];\n",
+ " this.context = canvas[0].getContext(\"2d\");\n",
+ "\n",
+ " var backingStore = this.context.backingStorePixelRatio ||\n",
+ "\tthis.context.webkitBackingStorePixelRatio ||\n",
+ "\tthis.context.mozBackingStorePixelRatio ||\n",
+ "\tthis.context.msBackingStorePixelRatio ||\n",
+ "\tthis.context.oBackingStorePixelRatio ||\n",
+ "\tthis.context.backingStorePixelRatio || 1;\n",
+ "\n",
+ " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+ "\n",
+ " var rubberband = $('<canvas/>');\n",
+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+ "\n",
+ " var pass_mouse_events = true;\n",
+ "\n",
+ " canvas_div.resizable({\n",
+ " start: function(event, ui) {\n",
+ " pass_mouse_events = false;\n",
+ " },\n",
+ " resize: function(event, ui) {\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " stop: function(event, ui) {\n",
+ " pass_mouse_events = true;\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " });\n",
+ "\n",
+ " function mouse_event_fn(event) {\n",
+ " if (pass_mouse_events)\n",
+ " return fig.mouse_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
+ " // Throttle sequential mouse events to 1 every 20ms.\n",
+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+ "\n",
+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+ "\n",
+ " canvas_div.on(\"wheel\", function (event) {\n",
+ " event = event.originalEvent;\n",
+ " event['data'] = 'scroll'\n",
+ " if (event.deltaY < 0) {\n",
+ " event.step = 1;\n",
+ " } else {\n",
+ " event.step = -1;\n",
+ " }\n",
+ " mouse_event_fn(event);\n",
+ " });\n",
+ "\n",
+ " canvas_div.append(canvas);\n",
+ " canvas_div.append(rubberband);\n",
+ "\n",
+ " this.rubberband = rubberband;\n",
+ " this.rubberband_canvas = rubberband[0];\n",
+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
+ "\n",
+ " this._resize_canvas = function(width, height) {\n",
+ " // Keep the size of the canvas, canvas container, and rubber band\n",
+ " // canvas in synch.\n",
+ " canvas_div.css('width', width)\n",
+ " canvas_div.css('height', height)\n",
+ "\n",
+ " canvas.attr('width', width * mpl.ratio);\n",
+ " canvas.attr('height', height * mpl.ratio);\n",
+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+ "\n",
+ " rubberband.attr('width', width);\n",
+ " rubberband.attr('height', height);\n",
+ " }\n",
+ "\n",
+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+ " // upon first draw.\n",
+ " this._resize_canvas(600, 600);\n",
+ "\n",
+ " // Disable right mouse context menu.\n",
+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
+ " return false;\n",
+ " });\n",
+ "\n",
+ " function set_focus () {\n",
+ " canvas.focus();\n",
+ " canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " window.setTimeout(set_focus, 100);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\n",
+ " for(var toolbar_ind in mpl.toolbar_items) {\n",
+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+ "\n",
+ " if (!name) {\n",
+ " // put a spacer in here.\n",
+ " continue;\n",
+ " }\n",
+ " var button = $('<button/>');\n",
+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+ " 'ui-button-icon-only');\n",
+ " button.attr('role', 'button');\n",
+ " button.attr('aria-disabled', 'false');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ "\n",
+ " var icon_img = $('<span/>');\n",
+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+ " icon_img.addClass(image);\n",
+ " icon_img.addClass('ui-corner-all');\n",
+ "\n",
+ " var tooltip_span = $('<span/>');\n",
+ " tooltip_span.addClass('ui-button-text');\n",
+ " tooltip_span.html(tooltip);\n",
+ "\n",
+ " button.append(icon_img);\n",
+ " button.append(tooltip_span);\n",
+ "\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " var fmt_picker_span = $('<span/>');\n",
+ "\n",
+ " var fmt_picker = $('<select/>');\n",
+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+ " fmt_picker_span.append(fmt_picker);\n",
+ " nav_element.append(fmt_picker_span);\n",
+ " this.format_dropdown = fmt_picker[0];\n",
+ "\n",
+ " for (var ind in mpl.extensions) {\n",
+ " var fmt = mpl.extensions[ind];\n",
+ " var option = $(\n",
+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+ " fmt_picker.append(option);\n",
+ " }\n",
+ "\n",
+ " // Add hover states to the ui-buttons\n",
+ " $( \".ui-button\" ).hover(\n",
+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
+ " );\n",
+ "\n",
+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
+ " // which will in turn request a refresh of the image.\n",
+ " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.send_message = function(type, properties) {\n",
+ " properties['type'] = type;\n",
+ " properties['figure_id'] = this.id;\n",
+ " this.ws.send(JSON.stringify(properties));\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.send_draw_message = function() {\n",
+ " if (!this.waiting) {\n",
+ " this.waiting = true;\n",
+ " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " var format_dropdown = fig.format_dropdown;\n",
+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
+ " fig.ondownload(fig, format);\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
+ " var size = msg['size'];\n",
+ " if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
+ " fig._resize_canvas(size[0], size[1]);\n",
+ " fig.send_message(\"refresh\", {});\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+ " var x0 = msg['x0'] / mpl.ratio;\n",
+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+ " var x1 = msg['x1'] / mpl.ratio;\n",
+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+ " x0 = Math.floor(x0) + 0.5;\n",
+ " y0 = Math.floor(y0) + 0.5;\n",
+ " x1 = Math.floor(x1) + 0.5;\n",
+ " y1 = Math.floor(y1) + 0.5;\n",
+ " var min_x = Math.min(x0, x1);\n",
+ " var min_y = Math.min(y0, y1);\n",
+ " var width = Math.abs(x1 - x0);\n",
+ " var height = Math.abs(y1 - y0);\n",
+ "\n",
+ " fig.rubberband_context.clearRect(\n",
+ " 0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
+ "\n",
+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
+ " // Updates the figure title.\n",
+ " fig.header.textContent = msg['label'];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
+ " var cursor = msg['cursor'];\n",
+ " switch(cursor)\n",
+ " {\n",
+ " case 0:\n",
+ " cursor = 'pointer';\n",
+ " break;\n",
+ " case 1:\n",
+ " cursor = 'default';\n",
+ " break;\n",
+ " case 2:\n",
+ " cursor = 'crosshair';\n",
+ " break;\n",
+ " case 3:\n",
+ " cursor = 'move';\n",
+ " break;\n",
+ " }\n",
+ " fig.rubberband_canvas.style.cursor = cursor;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
+ " fig.message.textContent = msg['message'];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
+ " // Request the server to send over a new figure.\n",
+ " fig.send_draw_message();\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
+ " fig.image_mode = msg['mode'];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
+ " // Called whenever the canvas gets updated.\n",
+ " this.send_message(\"ack\", {});\n",
+ "}\n",
+ "\n",
+ "// A function to construct a web socket function for onmessage handling.\n",
+ "// Called in the figure constructor.\n",
+ "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
+ " return function socket_on_message(evt) {\n",
+ " if (evt.data instanceof Blob) {\n",
+ " /* FIXME: We get \"Resource interpreted as Image but\n",
+ " * transferred with MIME type text/plain:\" errors on\n",
+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
+ " * to be part of the websocket stream */\n",
+ " evt.data.type = \"image/png\";\n",
+ "\n",
+ " /* Free the memory for the previous frames */\n",
+ " if (fig.imageObj.src) {\n",
+ " (window.URL || window.webkitURL).revokeObjectURL(\n",
+ " fig.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+ " evt.data);\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
+ " fig.imageObj.src = evt.data;\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var msg = JSON.parse(evt.data);\n",
+ " var msg_type = msg['type'];\n",
+ "\n",
+ " // Call the \"handle_{type}\" callback, which takes\n",
+ " // the figure and JSON message as its only arguments.\n",
+ " try {\n",
+ " var callback = fig[\"handle_\" + msg_type];\n",
+ " } catch (e) {\n",
+ " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " if (callback) {\n",
+ " try {\n",
+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
+ " callback(fig, msg);\n",
+ " } catch (e) {\n",
+ " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+ " }\n",
+ " }\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
+ "mpl.findpos = function(e) {\n",
+ " //this section is from http://www.quirksmode.org/js/events_properties.html\n",
+ " var targ;\n",
+ " if (!e)\n",
+ " e = window.event;\n",
+ " if (e.target)\n",
+ " targ = e.target;\n",
+ " else if (e.srcElement)\n",
+ " targ = e.srcElement;\n",
+ " if (targ.nodeType == 3) // defeat Safari bug\n",
+ " targ = targ.parentNode;\n",
+ "\n",
+ " // jQuery normalizes the pageX and pageY\n",
+ " // pageX,Y are the mouse positions relative to the document\n",
+ " // offset() returns the position of the element relative to the document\n",
+ " var x = e.pageX - $(targ).offset().left;\n",
+ " var y = e.pageY - $(targ).offset().top;\n",
+ "\n",
+ " return {\"x\": x, \"y\": y};\n",
+ "};\n",
+ "\n",
+ "/*\n",
+ " * return a copy of an object with only non-object keys\n",
+ " * we need this to avoid circular references\n",
+ " * http://stackoverflow.com/a/24161582/3208463\n",
+ " */\n",
+ "function simpleKeys (original) {\n",
+ " return Object.keys(original).reduce(function (obj, key) {\n",
+ " if (typeof original[key] !== 'object')\n",
+ " obj[key] = original[key]\n",
+ " return obj;\n",
+ " }, {});\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.mouse_event = function(event, name) {\n",
+ " var canvas_pos = mpl.findpos(event)\n",
+ "\n",
+ " if (name === 'button_press')\n",
+ " {\n",
+ " this.canvas.focus();\n",
+ " this.canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " var x = canvas_pos.x * mpl.ratio;\n",
+ " var y = canvas_pos.y * mpl.ratio;\n",
+ "\n",
+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
+ " step: event.step,\n",
+ " guiEvent: simpleKeys(event)});\n",
+ "\n",
+ " /* This prevents the web browser from automatically changing to\n",
+ " * the text insertion cursor when the button is pressed. We want\n",
+ " * to control all of the cursor setting manually through the\n",
+ " * 'cursor' event from matplotlib */\n",
+ " event.preventDefault();\n",
+ " return false;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " // Handle any extra behaviour associated with a key event\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.key_event = function(event, name) {\n",
+ "\n",
+ " // Prevent repeat events\n",
+ " if (name == 'key_press')\n",
+ " {\n",
+ " if (event.which === this._key)\n",
+ " return;\n",
+ " else\n",
+ " this._key = event.which;\n",
+ " }\n",
+ " if (name == 'key_release')\n",
+ " this._key = null;\n",
+ "\n",
+ " var value = '';\n",
+ " if (event.ctrlKey && event.which != 17)\n",
+ " value += \"ctrl+\";\n",
+ " if (event.altKey && event.which != 18)\n",
+ " value += \"alt+\";\n",
+ " if (event.shiftKey && event.which != 16)\n",
+ " value += \"shift+\";\n",
+ "\n",
+ " value += 'k';\n",
+ " value += event.which.toString();\n",
+ "\n",
+ " this._key_event_extra(event, name);\n",
+ "\n",
+ " this.send_message(name, {key: value,\n",
+ " guiEvent: simpleKeys(event)});\n",
+ " return false;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+ " if (name == 'download') {\n",
+ " this.handle_save(this, null);\n",
+ " } else {\n",
+ " this.send_message(\"toolbar_button\", {name: name});\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+ " this.message.textContent = tooltip;\n",
+ "};\n",
+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+ "\n",
+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+ "\n",
+ "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
+ " // object with the appropriate methods. Currently this is a non binary\n",
+ " // socket, so there is still some room for performance tuning.\n",
+ " var ws = {};\n",
+ "\n",
+ " ws.close = function() {\n",
+ " comm.close()\n",
+ " };\n",
+ " ws.send = function(m) {\n",
+ " //console.log('sending', m);\n",
+ " comm.send(m);\n",
+ " };\n",
+ " // Register the callback with on_msg.\n",
+ " comm.on_msg(function(msg) {\n",
+ " //console.log('receiving', msg['content']['data'], msg);\n",
+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+ " ws.onmessage(msg['content']['data'])\n",
+ " });\n",
+ " return ws;\n",
+ "}\n",
+ "\n",
+ "mpl.mpl_figure_comm = function(comm, msg) {\n",
+ " // This is the function which gets called when the mpl process\n",
+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+ "\n",
+ " var id = msg.content.data.id;\n",
+ " // Get hold of the div created by the display call when the Comm\n",
+ " // socket was opened in Python.\n",
+ " var element = $(\"#\" + id);\n",
+ " var ws_proxy = comm_websocket_adapter(comm)\n",
+ "\n",
+ " function ondownload(figure, format) {\n",
+ " window.open(figure.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " var fig = new mpl.figure(id, ws_proxy,\n",
+ " ondownload,\n",
+ " element.get(0));\n",
+ "\n",
+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
+ " // web socket which is closed, not our websocket->open comm proxy.\n",
+ " ws_proxy.onopen();\n",
+ "\n",
+ " fig.parent_element = element.get(0);\n",
+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+ " if (!fig.cell_info) {\n",
+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var output_index = fig.cell_info[2]\n",
+ " var cell = fig.cell_info[0];\n",
+ "\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+ " var width = fig.canvas.width/mpl.ratio\n",
+ " fig.root.unbind('remove')\n",
+ "\n",
+ " // Update the output cell to use the data from the current canvas.\n",
+ " fig.push_to_output();\n",
+ " var dataURL = fig.canvas.toDataURL();\n",
+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
+ " // the notebook keyboard shortcuts fail.\n",
+ " IPython.keyboard_manager.enable()\n",
+ " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+ " fig.close_ws(fig, msg);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+ " fig.send_message('closing', msg);\n",
+ " // fig.ws.close()\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+ " // Turn the data on the canvas into data in the output cell.\n",
+ " var width = this.canvas.width/mpl.ratio\n",
+ " var dataURL = this.canvas.toDataURL();\n",
+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
+ " // Tell IPython that the notebook contents must change.\n",
+ " IPython.notebook.set_dirty(true);\n",
+ " this.send_message(\"ack\", {});\n",
+ " var fig = this;\n",
+ " // Wait a second, then push the new image to the DOM so\n",
+ " // that it is saved nicely (might be nice to debounce this).\n",
+ " setTimeout(function () { fig.push_to_output() }, 1000);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\n",
+ " for(var toolbar_ind in mpl.toolbar_items){\n",
+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+ "\n",
+ " if (!name) { continue; };\n",
+ "\n",
+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " // Add the status bar.\n",
+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "\n",
+ " // Add the close button to the window.\n",
+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+ " buttongrp.append(button);\n",
+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+ " titlebar.prepend(buttongrp);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(el){\n",
+ " var fig = this\n",
+ " el.on(\"remove\", function(){\n",
+ "\tfig.close_ws(fig, {});\n",
+ " });\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+ " // this is important to make the div 'focusable\n",
+ " el.attr('tabindex', 0)\n",
+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
+ " // off when our div gets focus\n",
+ "\n",
+ " // location in version 3\n",
+ " if (IPython.notebook.keyboard_manager) {\n",
+ " IPython.notebook.keyboard_manager.register_events(el);\n",
+ " }\n",
+ " else {\n",
+ " // location in version 2\n",
+ " IPython.keyboard_manager.register_events(el);\n",
+ " }\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " var manager = IPython.notebook.keyboard_manager;\n",
+ " if (!manager)\n",
+ " manager = IPython.keyboard_manager;\n",
+ "\n",
+ " // Check for shift+enter\n",
+ " if (event.shiftKey && event.which == 13) {\n",
+ " this.canvas_div.blur();\n",
+ " // select the cell after this one\n",
+ " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+ " IPython.notebook.select(index + 1);\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " fig.ondownload(fig, null);\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.find_output_cell = function(html_output) {\n",
+ " // Return the cell and output element which can be found *uniquely* in the notebook.\n",
+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
+ " // IPython event is triggered only after the cells have been serialised, which for\n",
+ " // our purposes (turning an active figure into a static one), is too late.\n",
+ " var cells = IPython.notebook.get_cells();\n",
+ " var ncells = cells.length;\n",
+ " for (var i=0; i<ncells; i++) {\n",
+ " var cell = cells[i];\n",
+ " if (cell.cell_type === 'code'){\n",
+ " for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
+ " var data = cell.output_area.outputs[j];\n",
+ " if (data.data) {\n",
+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
+ " data = data.data;\n",
+ " }\n",
+ " if (data['text/html'] == html_output) {\n",
+ " return [cell, data, j];\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "// Register the function which deals with the matplotlib target/channel.\n",
+ "// The kernel may be null if the page has been refreshed.\n",
+ "if (IPython.notebook.kernel != null) {\n",
+ " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
+ "}\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Javascript object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
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\" width=\"1000\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.figure(figsize = (10, 3.5))\n",
+ "ax = plt.subplot()\n",
+ "xr.merge([base_hourly_sel.pv_potential.rename('baseline'), \n",
+ " data_hourly_sel.pv_potential.rename('EW scenario')]).to_dataframe().plot(ax = ax)\n",
+ "\n",
+ "ax.set_xticks(list(range(12, 24*12, 24)))\n",
+ "ax.set_xticklabels(calendar.month_abbr[1:])\n",
+ "plt.xlabel('')\n",
+ "plt.xlim((0, 12*24))\n",
+ "plt.ylabel('Power ($W$)')\n",
+ "\n",
+ "ax.set_axisbelow(True)\n",
+ "ax.yaxis.grid(linestyle = '--')\n",
+ "\n",
+ "plt.tight_layout()\n",
+ "\n",
+ "plt.figure(figsize = (10, 3.5))\n",
+ "ax = plt.subplot()\n",
+ "\n",
+ "xr.merge([base_hourly_sel.tilted_irradiance.rename('baseline'), \n",
+ " data_hourly_sel.tilted_irradiance.rename('EW scenario')]).to_dataframe().plot(ax = ax)\n",
+ "\n",
+ "ax.set_xticks(list(range(12, 24*12, 24)))\n",
+ "ax.set_xticklabels(calendar.month_abbr[1:])\n",
+ "plt.xlabel('')\n",
+ "plt.xlim((0, 12*24))\n",
+ "plt.ylabel('Radiation ($W/m^2$)')\n",
+ "\n",
+ "ax.set_axisbelow(True)\n",
+ "ax.yaxis.grid(linestyle = '--')\n",
+ "\n",
+ "plt.tight_layout()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Check temporary files"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 81,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "batch = 1"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 101,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "gt = xr.open_mfdataset( os.path.join(EW_path, 'tmp_MMH', 'tilted_irrad_*.nc' ), concat_dim = 'DF_UID' )\n",
+ "pv = xr.open_mfdataset( os.path.join(EW_path, 'tmp_MMH', 'pv_potential_*.nc' ), concat_dim = 'DF_UID' )"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 105,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "if 'timestamp' in gt.yearly_kWh_m2.coords:\n",
+ " gt['yearly_kWh_m2'] = gt['yearly_kWh_m2'].isel( timestamp = 0 )"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 110,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "if 'timestamp' in pv.yearly_PV_kWh.coords:\n",
+ " pv['yearly_PV_kWh'] = pv['yearly_PV_kWh'].isel( timestamp = 0 )"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 112,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "DF_UID\n",
+ "7 285.939636\n",
+ "33 1333.533813\n",
+ "49 1854.498413\n",
+ "50 59984.988281\n",
+ "51 49039.257812\n",
+ " ... \n",
+ "9890002 0.000000\n",
+ "9890020 1048.724854\n",
+ "9890021 215.477646\n",
+ "9890022 24290.589844\n",
+ "9890023 11211.538086\n",
+ "Name: yearly_PV_kWh, Length: 1888887, dtype: float32"
+ ]
+ },
+ "execution_count": 112,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "pv.yearly_PV_kWh.to_series()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Plot random roof"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 75,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/javascript": [
+ "/* Put everything inside the global mpl namespace */\n",
+ "window.mpl = {};\n",
+ "\n",
+ "\n",
+ "mpl.get_websocket_type = function() {\n",
+ " if (typeof(WebSocket) !== 'undefined') {\n",
+ " return WebSocket;\n",
+ " } else if (typeof(MozWebSocket) !== 'undefined') {\n",
+ " return MozWebSocket;\n",
+ " } else {\n",
+ " alert('Your browser does not have WebSocket support. ' +\n",
+ " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
+ " 'Firefox 4 and 5 are also supported but you ' +\n",
+ " 'have to enable WebSockets in about:config.');\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
+ " this.id = figure_id;\n",
+ "\n",
+ " this.ws = websocket;\n",
+ "\n",
+ " this.supports_binary = (this.ws.binaryType != undefined);\n",
+ "\n",
+ " if (!this.supports_binary) {\n",
+ " var warnings = document.getElementById(\"mpl-warnings\");\n",
+ " if (warnings) {\n",
+ " warnings.style.display = 'block';\n",
+ " warnings.textContent = (\n",
+ " \"This browser does not support binary websocket messages. \" +\n",
+ " \"Performance may be slow.\");\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " this.imageObj = new Image();\n",
+ "\n",
+ " this.context = undefined;\n",
+ " this.message = undefined;\n",
+ " this.canvas = undefined;\n",
+ " this.rubberband_canvas = undefined;\n",
+ " this.rubberband_context = undefined;\n",
+ " this.format_dropdown = undefined;\n",
+ "\n",
+ " this.image_mode = 'full';\n",
+ "\n",
+ " this.root = $('<div/>');\n",
+ " this._root_extra_style(this.root)\n",
+ " this.root.attr('style', 'display: inline-block');\n",
+ "\n",
+ " $(parent_element).append(this.root);\n",
+ "\n",
+ " this._init_header(this);\n",
+ " this._init_canvas(this);\n",
+ " this._init_toolbar(this);\n",
+ "\n",
+ " var fig = this;\n",
+ "\n",
+ " this.waiting = false;\n",
+ "\n",
+ " this.ws.onopen = function () {\n",
+ " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+ " fig.send_message(\"send_image_mode\", {});\n",
+ " if (mpl.ratio != 1) {\n",
+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+ " }\n",
+ " fig.send_message(\"refresh\", {});\n",
+ " }\n",
+ "\n",
+ " this.imageObj.onload = function() {\n",
+ " if (fig.image_mode == 'full') {\n",
+ " // Full images could contain transparency (where diff images\n",
+ " // almost always do), so we need to clear the canvas so that\n",
+ " // there is no ghosting.\n",
+ " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+ " }\n",
+ " fig.context.drawImage(fig.imageObj, 0, 0);\n",
+ " };\n",
+ "\n",
+ " this.imageObj.onunload = function() {\n",
+ " fig.ws.close();\n",
+ " }\n",
+ "\n",
+ " this.ws.onmessage = this._make_on_message_function(this);\n",
+ "\n",
+ " this.ondownload = ondownload;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_header = function() {\n",
+ " var titlebar = $(\n",
+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+ " 'ui-helper-clearfix\"/>');\n",
+ " var titletext = $(\n",
+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+ " 'text-align: center; padding: 3px;\"/>');\n",
+ " titlebar.append(titletext)\n",
+ " this.root.append(titlebar);\n",
+ " this.header = titletext[0];\n",
+ "}\n",
+ "\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_canvas = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var canvas_div = $('<div/>');\n",
+ "\n",
+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+ "\n",
+ " function canvas_keyboard_event(event) {\n",
+ " return fig.key_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+ " this.canvas_div = canvas_div\n",
+ " this._canvas_extra_style(canvas_div)\n",
+ " this.root.append(canvas_div);\n",
+ "\n",
+ " var canvas = $('<canvas/>');\n",
+ " canvas.addClass('mpl-canvas');\n",
+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+ "\n",
+ " this.canvas = canvas[0];\n",
+ " this.context = canvas[0].getContext(\"2d\");\n",
+ "\n",
+ " var backingStore = this.context.backingStorePixelRatio ||\n",
+ "\tthis.context.webkitBackingStorePixelRatio ||\n",
+ "\tthis.context.mozBackingStorePixelRatio ||\n",
+ "\tthis.context.msBackingStorePixelRatio ||\n",
+ "\tthis.context.oBackingStorePixelRatio ||\n",
+ "\tthis.context.backingStorePixelRatio || 1;\n",
+ "\n",
+ " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+ "\n",
+ " var rubberband = $('<canvas/>');\n",
+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+ "\n",
+ " var pass_mouse_events = true;\n",
+ "\n",
+ " canvas_div.resizable({\n",
+ " start: function(event, ui) {\n",
+ " pass_mouse_events = false;\n",
+ " },\n",
+ " resize: function(event, ui) {\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " stop: function(event, ui) {\n",
+ " pass_mouse_events = true;\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " });\n",
+ "\n",
+ " function mouse_event_fn(event) {\n",
+ " if (pass_mouse_events)\n",
+ " return fig.mouse_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
+ " // Throttle sequential mouse events to 1 every 20ms.\n",
+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+ "\n",
+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+ "\n",
+ " canvas_div.on(\"wheel\", function (event) {\n",
+ " event = event.originalEvent;\n",
+ " event['data'] = 'scroll'\n",
+ " if (event.deltaY < 0) {\n",
+ " event.step = 1;\n",
+ " } else {\n",
+ " event.step = -1;\n",
+ " }\n",
+ " mouse_event_fn(event);\n",
+ " });\n",
+ "\n",
+ " canvas_div.append(canvas);\n",
+ " canvas_div.append(rubberband);\n",
+ "\n",
+ " this.rubberband = rubberband;\n",
+ " this.rubberband_canvas = rubberband[0];\n",
+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
+ "\n",
+ " this._resize_canvas = function(width, height) {\n",
+ " // Keep the size of the canvas, canvas container, and rubber band\n",
+ " // canvas in synch.\n",
+ " canvas_div.css('width', width)\n",
+ " canvas_div.css('height', height)\n",
+ "\n",
+ " canvas.attr('width', width * mpl.ratio);\n",
+ " canvas.attr('height', height * mpl.ratio);\n",
+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+ "\n",
+ " rubberband.attr('width', width);\n",
+ " rubberband.attr('height', height);\n",
+ " }\n",
+ "\n",
+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+ " // upon first draw.\n",
+ " this._resize_canvas(600, 600);\n",
+ "\n",
+ " // Disable right mouse context menu.\n",
+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
+ " return false;\n",
+ " });\n",
+ "\n",
+ " function set_focus () {\n",
+ " canvas.focus();\n",
+ " canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " window.setTimeout(set_focus, 100);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\n",
+ " for(var toolbar_ind in mpl.toolbar_items) {\n",
+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+ "\n",
+ " if (!name) {\n",
+ " // put a spacer in here.\n",
+ " continue;\n",
+ " }\n",
+ " var button = $('<button/>');\n",
+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+ " 'ui-button-icon-only');\n",
+ " button.attr('role', 'button');\n",
+ " button.attr('aria-disabled', 'false');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ "\n",
+ " var icon_img = $('<span/>');\n",
+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+ " icon_img.addClass(image);\n",
+ " icon_img.addClass('ui-corner-all');\n",
+ "\n",
+ " var tooltip_span = $('<span/>');\n",
+ " tooltip_span.addClass('ui-button-text');\n",
+ " tooltip_span.html(tooltip);\n",
+ "\n",
+ " button.append(icon_img);\n",
+ " button.append(tooltip_span);\n",
+ "\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " var fmt_picker_span = $('<span/>');\n",
+ "\n",
+ " var fmt_picker = $('<select/>');\n",
+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+ " fmt_picker_span.append(fmt_picker);\n",
+ " nav_element.append(fmt_picker_span);\n",
+ " this.format_dropdown = fmt_picker[0];\n",
+ "\n",
+ " for (var ind in mpl.extensions) {\n",
+ " var fmt = mpl.extensions[ind];\n",
+ " var option = $(\n",
+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+ " fmt_picker.append(option);\n",
+ " }\n",
+ "\n",
+ " // Add hover states to the ui-buttons\n",
+ " $( \".ui-button\" ).hover(\n",
+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
+ " );\n",
+ "\n",
+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
+ " // which will in turn request a refresh of the image.\n",
+ " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.send_message = function(type, properties) {\n",
+ " properties['type'] = type;\n",
+ " properties['figure_id'] = this.id;\n",
+ " this.ws.send(JSON.stringify(properties));\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.send_draw_message = function() {\n",
+ " if (!this.waiting) {\n",
+ " this.waiting = true;\n",
+ " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " var format_dropdown = fig.format_dropdown;\n",
+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
+ " fig.ondownload(fig, format);\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
+ " var size = msg['size'];\n",
+ " if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
+ " fig._resize_canvas(size[0], size[1]);\n",
+ " fig.send_message(\"refresh\", {});\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+ " var x0 = msg['x0'] / mpl.ratio;\n",
+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+ " var x1 = msg['x1'] / mpl.ratio;\n",
+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+ " x0 = Math.floor(x0) + 0.5;\n",
+ " y0 = Math.floor(y0) + 0.5;\n",
+ " x1 = Math.floor(x1) + 0.5;\n",
+ " y1 = Math.floor(y1) + 0.5;\n",
+ " var min_x = Math.min(x0, x1);\n",
+ " var min_y = Math.min(y0, y1);\n",
+ " var width = Math.abs(x1 - x0);\n",
+ " var height = Math.abs(y1 - y0);\n",
+ "\n",
+ " fig.rubberband_context.clearRect(\n",
+ " 0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
+ "\n",
+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
+ " // Updates the figure title.\n",
+ " fig.header.textContent = msg['label'];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
+ " var cursor = msg['cursor'];\n",
+ " switch(cursor)\n",
+ " {\n",
+ " case 0:\n",
+ " cursor = 'pointer';\n",
+ " break;\n",
+ " case 1:\n",
+ " cursor = 'default';\n",
+ " break;\n",
+ " case 2:\n",
+ " cursor = 'crosshair';\n",
+ " break;\n",
+ " case 3:\n",
+ " cursor = 'move';\n",
+ " break;\n",
+ " }\n",
+ " fig.rubberband_canvas.style.cursor = cursor;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
+ " fig.message.textContent = msg['message'];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
+ " // Request the server to send over a new figure.\n",
+ " fig.send_draw_message();\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
+ " fig.image_mode = msg['mode'];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
+ " // Called whenever the canvas gets updated.\n",
+ " this.send_message(\"ack\", {});\n",
+ "}\n",
+ "\n",
+ "// A function to construct a web socket function for onmessage handling.\n",
+ "// Called in the figure constructor.\n",
+ "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
+ " return function socket_on_message(evt) {\n",
+ " if (evt.data instanceof Blob) {\n",
+ " /* FIXME: We get \"Resource interpreted as Image but\n",
+ " * transferred with MIME type text/plain:\" errors on\n",
+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
+ " * to be part of the websocket stream */\n",
+ " evt.data.type = \"image/png\";\n",
+ "\n",
+ " /* Free the memory for the previous frames */\n",
+ " if (fig.imageObj.src) {\n",
+ " (window.URL || window.webkitURL).revokeObjectURL(\n",
+ " fig.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+ " evt.data);\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
+ " fig.imageObj.src = evt.data;\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var msg = JSON.parse(evt.data);\n",
+ " var msg_type = msg['type'];\n",
+ "\n",
+ " // Call the \"handle_{type}\" callback, which takes\n",
+ " // the figure and JSON message as its only arguments.\n",
+ " try {\n",
+ " var callback = fig[\"handle_\" + msg_type];\n",
+ " } catch (e) {\n",
+ " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " if (callback) {\n",
+ " try {\n",
+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
+ " callback(fig, msg);\n",
+ " } catch (e) {\n",
+ " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+ " }\n",
+ " }\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
+ "mpl.findpos = function(e) {\n",
+ " //this section is from http://www.quirksmode.org/js/events_properties.html\n",
+ " var targ;\n",
+ " if (!e)\n",
+ " e = window.event;\n",
+ " if (e.target)\n",
+ " targ = e.target;\n",
+ " else if (e.srcElement)\n",
+ " targ = e.srcElement;\n",
+ " if (targ.nodeType == 3) // defeat Safari bug\n",
+ " targ = targ.parentNode;\n",
+ "\n",
+ " // jQuery normalizes the pageX and pageY\n",
+ " // pageX,Y are the mouse positions relative to the document\n",
+ " // offset() returns the position of the element relative to the document\n",
+ " var x = e.pageX - $(targ).offset().left;\n",
+ " var y = e.pageY - $(targ).offset().top;\n",
+ "\n",
+ " return {\"x\": x, \"y\": y};\n",
+ "};\n",
+ "\n",
+ "/*\n",
+ " * return a copy of an object with only non-object keys\n",
+ " * we need this to avoid circular references\n",
+ " * http://stackoverflow.com/a/24161582/3208463\n",
+ " */\n",
+ "function simpleKeys (original) {\n",
+ " return Object.keys(original).reduce(function (obj, key) {\n",
+ " if (typeof original[key] !== 'object')\n",
+ " obj[key] = original[key]\n",
+ " return obj;\n",
+ " }, {});\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.mouse_event = function(event, name) {\n",
+ " var canvas_pos = mpl.findpos(event)\n",
+ "\n",
+ " if (name === 'button_press')\n",
+ " {\n",
+ " this.canvas.focus();\n",
+ " this.canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " var x = canvas_pos.x * mpl.ratio;\n",
+ " var y = canvas_pos.y * mpl.ratio;\n",
+ "\n",
+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
+ " step: event.step,\n",
+ " guiEvent: simpleKeys(event)});\n",
+ "\n",
+ " /* This prevents the web browser from automatically changing to\n",
+ " * the text insertion cursor when the button is pressed. We want\n",
+ " * to control all of the cursor setting manually through the\n",
+ " * 'cursor' event from matplotlib */\n",
+ " event.preventDefault();\n",
+ " return false;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " // Handle any extra behaviour associated with a key event\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.key_event = function(event, name) {\n",
+ "\n",
+ " // Prevent repeat events\n",
+ " if (name == 'key_press')\n",
+ " {\n",
+ " if (event.which === this._key)\n",
+ " return;\n",
+ " else\n",
+ " this._key = event.which;\n",
+ " }\n",
+ " if (name == 'key_release')\n",
+ " this._key = null;\n",
+ "\n",
+ " var value = '';\n",
+ " if (event.ctrlKey && event.which != 17)\n",
+ " value += \"ctrl+\";\n",
+ " if (event.altKey && event.which != 18)\n",
+ " value += \"alt+\";\n",
+ " if (event.shiftKey && event.which != 16)\n",
+ " value += \"shift+\";\n",
+ "\n",
+ " value += 'k';\n",
+ " value += event.which.toString();\n",
+ "\n",
+ " this._key_event_extra(event, name);\n",
+ "\n",
+ " this.send_message(name, {key: value,\n",
+ " guiEvent: simpleKeys(event)});\n",
+ " return false;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+ " if (name == 'download') {\n",
+ " this.handle_save(this, null);\n",
+ " } else {\n",
+ " this.send_message(\"toolbar_button\", {name: name});\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+ " this.message.textContent = tooltip;\n",
+ "};\n",
+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+ "\n",
+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+ "\n",
+ "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
+ " // object with the appropriate methods. Currently this is a non binary\n",
+ " // socket, so there is still some room for performance tuning.\n",
+ " var ws = {};\n",
+ "\n",
+ " ws.close = function() {\n",
+ " comm.close()\n",
+ " };\n",
+ " ws.send = function(m) {\n",
+ " //console.log('sending', m);\n",
+ " comm.send(m);\n",
+ " };\n",
+ " // Register the callback with on_msg.\n",
+ " comm.on_msg(function(msg) {\n",
+ " //console.log('receiving', msg['content']['data'], msg);\n",
+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+ " ws.onmessage(msg['content']['data'])\n",
+ " });\n",
+ " return ws;\n",
+ "}\n",
+ "\n",
+ "mpl.mpl_figure_comm = function(comm, msg) {\n",
+ " // This is the function which gets called when the mpl process\n",
+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+ "\n",
+ " var id = msg.content.data.id;\n",
+ " // Get hold of the div created by the display call when the Comm\n",
+ " // socket was opened in Python.\n",
+ " var element = $(\"#\" + id);\n",
+ " var ws_proxy = comm_websocket_adapter(comm)\n",
+ "\n",
+ " function ondownload(figure, format) {\n",
+ " window.open(figure.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " var fig = new mpl.figure(id, ws_proxy,\n",
+ " ondownload,\n",
+ " element.get(0));\n",
+ "\n",
+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
+ " // web socket which is closed, not our websocket->open comm proxy.\n",
+ " ws_proxy.onopen();\n",
+ "\n",
+ " fig.parent_element = element.get(0);\n",
+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+ " if (!fig.cell_info) {\n",
+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var output_index = fig.cell_info[2]\n",
+ " var cell = fig.cell_info[0];\n",
+ "\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+ " var width = fig.canvas.width/mpl.ratio\n",
+ " fig.root.unbind('remove')\n",
+ "\n",
+ " // Update the output cell to use the data from the current canvas.\n",
+ " fig.push_to_output();\n",
+ " var dataURL = fig.canvas.toDataURL();\n",
+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
+ " // the notebook keyboard shortcuts fail.\n",
+ " IPython.keyboard_manager.enable()\n",
+ " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+ " fig.close_ws(fig, msg);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+ " fig.send_message('closing', msg);\n",
+ " // fig.ws.close()\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+ " // Turn the data on the canvas into data in the output cell.\n",
+ " var width = this.canvas.width/mpl.ratio\n",
+ " var dataURL = this.canvas.toDataURL();\n",
+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
+ " // Tell IPython that the notebook contents must change.\n",
+ " IPython.notebook.set_dirty(true);\n",
+ " this.send_message(\"ack\", {});\n",
+ " var fig = this;\n",
+ " // Wait a second, then push the new image to the DOM so\n",
+ " // that it is saved nicely (might be nice to debounce this).\n",
+ " setTimeout(function () { fig.push_to_output() }, 1000);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\n",
+ " for(var toolbar_ind in mpl.toolbar_items){\n",
+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+ "\n",
+ " if (!name) { continue; };\n",
+ "\n",
+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " // Add the status bar.\n",
+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "\n",
+ " // Add the close button to the window.\n",
+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+ " buttongrp.append(button);\n",
+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+ " titlebar.prepend(buttongrp);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(el){\n",
+ " var fig = this\n",
+ " el.on(\"remove\", function(){\n",
+ "\tfig.close_ws(fig, {});\n",
+ " });\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+ " // this is important to make the div 'focusable\n",
+ " el.attr('tabindex', 0)\n",
+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
+ " // off when our div gets focus\n",
+ "\n",
+ " // location in version 3\n",
+ " if (IPython.notebook.keyboard_manager) {\n",
+ " IPython.notebook.keyboard_manager.register_events(el);\n",
+ " }\n",
+ " else {\n",
+ " // location in version 2\n",
+ " IPython.keyboard_manager.register_events(el);\n",
+ " }\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " var manager = IPython.notebook.keyboard_manager;\n",
+ " if (!manager)\n",
+ " manager = IPython.keyboard_manager;\n",
+ "\n",
+ " // Check for shift+enter\n",
+ " if (event.shiftKey && event.which == 13) {\n",
+ " this.canvas_div.blur();\n",
+ " // select the cell after this one\n",
+ " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+ " IPython.notebook.select(index + 1);\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " fig.ondownload(fig, null);\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.find_output_cell = function(html_output) {\n",
+ " // Return the cell and output element which can be found *uniquely* in the notebook.\n",
+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
+ " // IPython event is triggered only after the cells have been serialised, which for\n",
+ " // our purposes (turning an active figure into a static one), is too late.\n",
+ " var cells = IPython.notebook.get_cells();\n",
+ " var ncells = cells.length;\n",
+ " for (var i=0; i<ncells; i++) {\n",
+ " var cell = cells[i];\n",
+ " if (cell.cell_type === 'code'){\n",
+ " for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
+ " var data = cell.output_area.outputs[j];\n",
+ " if (data.data) {\n",
+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
+ " data = data.data;\n",
+ " }\n",
+ " if (data['text/html'] == html_output) {\n",
+ " return [cell, data, j];\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "// Register the function which deals with the matplotlib target/channel.\n",
+ "// The kernel may be null if the page has been refreshed.\n",
+ "if (IPython.notebook.kernel != null) {\n",
+ " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
+ "}\n"
+ ],
+ "text/plain": [
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+ },
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+ "output_type": "display_data"
+ },
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EEAAAQQQCFWAAD1UsYKr77/Sa1pa2mEnPvfcczV//ny1atVK8+bNK7iO5fFM7na0tqqujTE/Sk5W+XGOcGgju2vunwnZ5EibJBmOZfv27c4KylZOOeUUFStWLN+7uX79eu3YsUOJiYm52kKYAD3fLwkN5qMAAXoeMXMToNeoUUM2C92WgV+2bJnTg9TUVG3evNmZlV6lShVnH/Psiv8S8LZUe/PmzQNWt+Xby5Urp3379jnLuds3+vwsBOj5qUlbCCCAAAIIIIAAAghEnsDi6Y/qzJXp21NZ2axK2nP9bP2nRvpWVxQEEEAAAQQQQAABiQA9fO+CnEJhAnTftcvJKnyvcmg9I0APzosAPTgnakWmAAF6Hq9bqAH6tm3bnKXXrfTr18/ZB93C8MmTJ2vnzp3O1+Pj43XmmWfqnnvuUfv27QP28KqrrtJbb73lfGbHWUieVWnUqJG+//57VapUSVu3bs3jiDMeToCer5w0hgACCCCAAAIIIIBAxAksG9NOzQ58kaHf36iOSvb8SHWqVoy48dDhAhQ4uFfavUkqf5IUz9L/BSjPqRBAAAEECkGAAL3g0SdNmqQbb7zRObEFfSeeeGLATuQUCucUoB+Jmd75oXUk+pWTVX70u6DasMzk0KFDqlChwmGrBIdrgL5nzx7ZrG0r//nPf3TUUUdlycUM9IK6kzhPtAoQoOfxyoYaoNsMcHv4WrFl1y0Et2Xcsyp33nmnxo0bd9jHNuP8yy+/VKlSpbR3795sR3HJJZfoo48+cuocOHAgpKU6/vjjj2zb/vbbb3XppZc6dRYsWKAmTZoErG9LeMTFxTmfpaSkON+Ysiv+M/BtVr7NpM+q2N7v/suPWNt2jqyKvaCQkJDgfWwmgZbmcStYXTvGiq0UcPDgwWz7bn1x96O3flv/syr2Q0zx4sW9j3MaqxmapVusL9anYMf677//Ztt3rlNgHq4Tf5/szsj87ODvk+/vC8+9wM8Ovj/x/cnuDH6OyPpHD37eC2wTaT/v7fk3SfFP1tPRMXsOG9A7MeepRrfnVaty4F/q8HN51n8/isLP5THbVqnYG1cq5t+/pWNPlbq+peTi5fn30/9uC36O4OcIfo7g90Z2D/D7iOj6fcTvv//u/M7S/o1Qq1Yt7weB7H6351Zyf9fo/n4yu1/w2X3jBqf2O8/sfu9p7YTSdlb17fexdh47b+Zlot2+2LE59cW974Otm1N9C9Bvuukmh8tWhPXfSjWUvviHqXPnzj2M3zX0Xyo9lPZDqRusjf99YBP4clrCvTCvU2bQ3PYlFBur6x+gZ365onXr1oct23+krpM7/mDatyzIDdBr166dbYCe09+PQM8R/2dHds8Zt23/Gei2THxOz6bMY/3ll1+cvMWeg/ZCgFuy+z3s8uXLndWWrdgKz7bSMwWBIyFAgJ5H1VAD9HfeeUcdO3Z0zmo/TNjDwWabjx492vmLbmHuxx9/rLvvvlt//vmnU++5555Tr169MvS0fv36WrlypSpXrqwtW7ZkO4rOnTtr+vTpTh1768jeqAq2+H+zyumYsWPHyh7agco555yjo48+2vno77//1sKFC7Nt7vLLL/c+//XXX/XTTz9lWb98+fLeA9Mq2ax4Ww4/q2JL6Ddo0MD7+NNPP3Xcsyr2UkDVqlWdjy0wmzVrVrZ9t73p3V8Ib9q0SfZAz6pYeH7RRRd5H//444/ZvlBx3HHHZfiGYC8tuCsXBDqH3Sc1a9b0Pnrvvfey7TvXKTAP14m/T3Zn8Pcp68cHz73ANnx/Sl9Zh+9P/ByR1X3Az3uBZSLt572Nf25W3y33Zvn3fUzq9Spf9wJVKXl4FX4uz/p7a1H4ubzp+qd13K6vfAgnn6tNrZ/W8m9W8O8nSfwcwc8R9heB30dk/Zzk54jo+DnCfxRF4blnv5O13xnahKg6dep4w7cZpdlNBrLfS/lPwNm1a1e2v98rXbq0NxnIJvfkNPnKf2VT+x1pdr8ntZc9/We82rahNiHIvm4hsv3nP3HJ/Zrb4ewmSVkd//oWJmbnYvXtvO7vry2Ay/wywquvvqqbb77ZOb2tAOD/e9JA9f1hrV13QpgboFto9/nnnx/m747ZP0DPaaz+fQ9mrO4ELzt5sH13bQYPHuysgptVKezrlLlfuRmr24bdM9kF0f5jdQN0yy2OP/74DN1o06aNM2HQf9/7I3WdQum7/Z1zA3S7n+3vezDXNZi+5/T3KdB18g/Q69Wrl2Vf/P8+WSX3OtnkUnvmWE7m5mH2eXa/h7XQ3VZvtkKAnu23Az7MowABeh4BQw3QX3vtNV1//fXeWRs3bqxFixZl+CHI/YZ+2mmnOXuX29LrGzZsyLAvuruPevXq1WVvL2ZXbrjhBk2ZMsWpsnHjRlWrVi3oUROg8w/W7G4W/sEaWCfSfvHtP4qi8A9Wd7xcJ14csnuhKAQU7j3Piw6Bn9k89wgo7M4goMj6J76cft7bsnKubj34SpYNpKTF6LbUe3R6/fqqXCJjNQL0rN2j/vtTWqra/dBHCSn7MyDsPv02zU07I0sYXmzlxdacfqEa6OaJ+r9PfoPm5z1+3uPfueH971wCdGW7yqj9DSZAz/rnw9yEygToh3sSoGd9jxGgBx2bUbGICBCg5/FChxqg25Lttn+5Wz755JMMM5D9uzNgwAA9+uijzpfef/99b6l09x+MBTEDnSXcWXo1u78iLL0aWCfSll71HwVLRbJUpN0PLDmd9ZOP5x7PPZaczvrvR1FYctodPVtXpEskp6Zq0SOddLEWezfGrhLHq9y/GV/w3Z1WUjfFj9ZTfa5Q+ZK+7Yj4+1R0/z7F/Pmtik9uexhAmmJ06Oo3lXpSq4A4LGUcXUsZuxeZfz+lZfkw4Odyfi7nuRddzz2WcC+4JdznzZun8847L8ff/M+ZM8fZbtWWNx8xYoRT338WuxtAZ7WEuy0JbxPfsivdunXTK68c/sKp/d792Wefla2OarN4beXTY445Ri1atNCtt94qW0Lcv/hPdLNVT222rq1kazPiv/vuO2fLVHuJxo677rrrnJVr3ZUO/Jdw37FjhyzTsGJbCZQpU8b5/1ktm2737bZt25zPGzZsqAcffNCzCrRFgGvijvvrr7/WM8884yyHbqvGWj9tBVkrP/zwg7fEvuUkZcuWdba8/eyzz5yJgLaSrX/f7Vjzsv9s5rGtXGsrLNgsbJtoaHZXX32142grJdj/+v8ex/W0GcxffPGFXn/9ddkWtdZGxYoV1axZM3Xt2lW2nHufPn2cfgaagW5jsi12rdiqA1dccYVKlizprPzrrsJrK83aasQ2edJW1zVD+5nHznPGGWeof//+siXPt27dKluFwlYssH8fWb+PPfZYjRkzJsM9uXv3bsfCxm42Vqyf7du3d1Y8dl+wsK+5KxD7X2tbHn3q1KlOzmRjtpWKzdvumVNPPVXnn3++M+vb7n/7/bD9+97uDTO0/z979mxNnjzZcbMVke1nFLvW5mDjt3ZYwj3HRw4VIkyAAD2PFyzUAN0ecG3bpv+iwB489nD039Pavzv2jeKCCy5wvmTLrLjfxO3PBbUHek489k3EvrFYYbmMnLT4HAEEEEAAAQQQQACB6BH4cu12nTC5iarE+FYy2NnmEZU8tEPFFo7JMND1qZX1UfM31Ldd4+gBYCS5F1j0hPTZ0MDHl6wo9VoolTku9+1zJAIIIIAAAmEoYEuIuyGZ/x7oYdjVkLtkSzC7e6D7LzcfckP5dIAF6JkD6EBN237mboA+fPhwp0qg5b/9A3Rr2y0WVgYToNte7P5l4sSJuv32253QPKvSo0cPTZgwwQtG/etZqH3jjTfKXgAIVGwFWgutO3To4Hxswas7Pls62wJ3C0otaPXfFz5zW2Zhde2+tbDV7lt72SA7K9fEAnTLMGycmZezdwP0FStW6JZbbnFOa8vtjxo1ShZu+xf/vnfv3t2pl12xfj722GNq1KiRU822ZrVA2r8MHDjQmbiYecl/q2OBu223a+F65gD9n3/+0bp165wA212py/p36aWXes3b+e36WCCdU7Hx3HbbbYdVswB7xowZTohuxQJrW2XGlpwPVGy1HRuPHWf+FtJbsZDc8itb8v2BBx7wXpzIql+2/asF4f7Flla3fnz44YdZDsdeHrA6dq1DLdY3O4fda+41y6kNMqmchPg8vwQI0PMoGWqAbrPG7U0eKzktv24PD/ctMXvrzL5huqVTp056++23nT/aHtj+e9VkHpI9eOzhakvB2xtN+Vl4WOWnJm0hgAACCCCAAAIIIBA5As/+32z1+b5Txg73XS5VqKmk6d2VsOrdDJ+9XuZmde3/WOQMkJ4eOYEpHaW1h+8f6p2wenOp+4dSXMKR6wMtI4AAAgggUMACBOgFB27botqsbgsELTi0YhPbMoeDFh7bnvQ5hcJZBegW9tqsaHfmbe/evZ2Zy/7Ftg2zENctL7/8siwct9KgQQNntrlt5WohpPXZwvWZM2c6n9ssZQuDM5ebbrrJm9VuY7AZ502bNnVCSBuzBfa2H7XNgrZyxx136PHHH/easX2nLVOwGdGWHVjwGqjs2rXLmeVt5eSTT3ZmV+dk5Qbodn7LNywDufvuu2Vb2Vp4/9FHHzkzpq3MmjVL999/v2dhM7Vt9V6b9W2zny04tkzDwngrNs4lS5Y4M57djMXG8Ndffzmz2adNm+ZcD3sxYPr06d7setvf3GZSW7FMxbIVKzZz3ba/tetr57GXI8zJPCyEtrG7M9BtBrgb7tts8nbt2jltWGbTuXNnZ7a8/WfFxmHBuM0Ot5UQLOOx8dhsdAvgrW82G9/Kk08+6dwPFuabt43Fit0Hbh505plnavny5br55pud9uzFC3txw2aEu3166qmnnM/9V6+xAN1esrCXLfbvT986yey6dOniXE9bxcBekPjmm2+ca/Hll186AXxSUpIzK98+t/vZzm0rENhxdu3snrM6NqHy4YcfdsZi57VrY9c5lEKAHooWdQtagAA9j+KhBuj2YLFvyva/9g3bllvJqviH7fbAtbfG3GJvNo0cOdL5oz2Y3CVDMrdlb3dZuG4/NLRs2dJZKiU/CwF6fmrSFgIIIIAAAggggAACkSMwdswDuufA016H9yUcrVKD1tn6j9Kh/frnufNVdudP3ufz1ESthn6WYXnIyBktPc03geRD0sMnSEm+/c83px2t42LSf+HolTP7SRem/5uXggACCCCAQDQIBBWgp6ZK/2b6nhgBgz9w0G8GerHiAXts4W5KaoBtK0oeLcUEDnDzOvRXX52km/8XVq/5da0TDgYqI4YP18iR6Uu4JyUfvnVAm/PO04IF89WyZSt9HmDWd0J8nHPs4MFDNGRo+io7cbExh/3cazOXLUy1MNNC4ZdeeingDHMLlR966CEnyF21apVq167tddsmylngboGrtfX88887YbK7bLdVtGDVDZ3tzz179tQTTzzhhPRWAgXjgVws7LVQ2Pphy3zb/wYboFt79mLBggULMkz+s7DVDY8/+OCDDKvuWmhsLwdY0L569Wpvhr6F8dZ3C/4t+LV7yQJzy1isT+Zgn9vXLGy28Pfee+91Al+3jvXFjrN7wIJhmyluLxrYbH3/mfj20sFZZ50lC8ytWIBuy+Tb160tC8IttK9Zs6bzuS3PbzPJrViwbsG2+do1s+Dev1gQ7dxjSUmy7XttOfQTTjjBGZe1acX6ZpnRCy+8oBdffNH5moXTFnBb0G8rGlvobMVCf1sO3kJ3W17fwnD/YgH62Wef7dQ3J5tVbyZusZnf1rZ9Zsu9m6H/kvcWjpujLQ9v95ldm8zFloO/8sornRcD7FwLFy4MdCtl+TUC9JC4qFzAAgToeQQPNUB3H7r2jcMeirbshwXqgYp9A7nsssucj+wb5n333edVswfmRRdd5PzZlsewZUcClaVLlzp7f1ix462d/CwE6PmpSVsIIIAAAggggAACCESGwPrt+/T1k13UKW6B1+GdJ7VX+W5TvT9vX/SyKn52pymfZOMAACAASURBVPfntanHqtRd36pK2cC/VI2MkdPLPAtsWCK9knH/81YHx+n1xIdULWZ7xua7vCHVSZ/dQ0EAAQQQQCDSBYIK0Pdtlx6pEelDDan/P3X9RiklKoR0TLCV35s+VUPuSl8ie+bi71S1esZA023nuXFjNOHxh50/frfRtz2R+3mPqy7R8qVfqEnzszRxxuFLWTeqXt6p2uvOgerd/17n/9c7tozi4zK+GGAzsW1GuU2ss9A0q+XubVKcBb0WpFqYbvuOu8VmBD/33HPOHy0ot4l1gbYEsBnStke6FQvQrR0La61Y+G5BvDv5zg2D/V2zWuo9lADdMhBbXty/+AfoFkxbQGvFZlbbn91iEwLt5QErFhS7fbc/W6hvga2VzEu033nnnc7LAja732aU26x+KxaUW39strgVW/Lcts91Z6z7L2U/duxYL2+xAN1mjNuy7O4+8HZd3Pr+Abq1a322vttsfQv7/YsboFs7FubbqgFW7OvuzG1zt1DaAms3QPdficA/QLd9zS3vcZd6t+DeXgxwi/XbHW/fvn319NO+l58zdCzAHyzkN3ML9K+99lpnFQF7icL67l/M1/ZVt1UOrNhzLtD9lNX5CNBzuhJ8XpgCBOh51M9NgG7Lafz3v/91zmxv/dgDKFCxpTXc/VHszR17g8ct9mC3ZUcsgK9bt66zLEjmh5fV7dWrl/OwtXIk9ignQM/jDcThCCCAAAIIIIAAAghEoMBLC9fpotkXqnrsNq/3qW3HKrb5rb4//75MsS9f4P05KS1OX3T5QefW9S1hGYFDp8t5FZj3sDTP92L3T6knqP2h0WoYs1ZvJQ5XYkyy7wzFy0p3/CDZ/1IQQAABBBCIcAEC9MAXsCgF6BZ027LgmbdrDSRjS5m/9dZbhwXLNrPZDSnfeOMN1ahRQ7ZMfOZix1obVixA79evnxMqu8VmStuMacsUbBl3m2XsX2xGshs+W7/dYDbYAD2r7Wv9A3RbMtyCXSvu7HP/PljmYcuV24sG/n23TMZmV9sscXsZwUJnd+96W6Ld+mizqm2mv63ya5/bzHELzS2UtjHbVrfWl0ABurlUrlzZadMCdJsNbueyNszfPxPKHKDbKgM2I7xYsWLe0v4209u+ZpMd7eWFo446ygn+bSWBQGO3cdvS7m6A/vXXX+v000936mYO0G1rAvc6257yFnK7xa67rXJgxYJq/5UMAt1z5mQvVVgfbdXjNm3aONVs2wGbwW//2bj8i90jf/zxh7P6sRV7qeP6668P+mlNgB40FRULQYAAPY/ouQnQbQkR+8ZmD2l7i8e+UdgD2b/Y21Hnn3++83C3bw72RljmgNx/GXd7K8qW/fAv9pCzB5c99Ny9OvI43MMOJ0DPb1HaQwABBBBAAAEEEEAg/AX6Pvu+ntma6RcjvRdLlev7Ov/vTunhjMtkTm32tq5td374D5AeHjmBV9pLGxZ57b+Y3E6jkq9z/nx93CyNTJiU8dxXPC818i01eeQ6RssIIIAAAggcWQEC9MC+RSVAt4lwttVqqMWWL7dA1cqBAwecZbYt2LWVawcPHuws3Z2YmHhYszZj2p21bUHqLbfc4oSw7n7nllHYMulWrJ7N8vYvdr9an22JbzuHm00EG6Db/t8ffnj4bH3/AN1mWlvfrFjO0KRJkwx9cINy+6Lbd1umfejQoc5scgv5sysWWtte7xY62zhssqGF2DYz3FYAsMwlUIBubVodC4ctV7F90S2ncYuN4fLLL3f+aBnNpZdeelg3LDS3Pr755pvO9fM/PnNlWyr9nnvu8b5s12XcuHFegG4z2t3l9zMH6ObmBt2ZZ/zb6gSWPVWpUsUJ/TOH33ZCN9y32etm4RZ7OcP6EGoJlFNl1wYBeqjC1C9IAQL0ELUXLVrkvCXmFnvTyQ2ubW+Mm2++OUOL7v4XmU8zbdo0XXPNNc43O3sby5YqadasmfNN0JZWsYeyvV1lb35ZmG5tZy72sLRvKr/88ovzkX0TtD0sbJ+KuXPnOst32DdC+/PixYszvH0U4rCzrE6Anl+StIMAAggggAACCCCAQGQI/PNvkkaMGqLH4p/1OpyUUFYJ9/0mxWZcpnLvgyeodPIur97zVUfp1p7ps0woRVDg0P70/c9TfL+cu/HQAM1NTZ99I6XpjYRRahG30odz9p3S+cOKIBZDRgABBBCINgEC9MBXtKgE6Hb9c5oBHEjIlnJ3Z4Jv2bJFxx57rFPN9ji32dv+obj/8RaMukvEuwG6zTS3INn5qet/+4hbaGozom05cLfY8t0WLlsdWwXXfy/vYAP06667TlOmTDlsSP4Bup2jx//2qLfMxSYd+heb2WxjtmJ9t9nNFoLbhMFgioXGFlzbku/2AkDXrl2dmdgWLNvkw+wCdNsW18J2C9Bt5rp/ySlAt8979+7t7fWeU1/N1F4KcIv10Zb6d2egu7Pr7fPMAbrNTm/durVzqGVCtk+6W9zVCmyCpi0TnzlAtxck7EUCm3GeuTz77LPO/u6hlsxjyel4AvSchPi8MAUI0EPUt0D81VdfDfoo/4db5oPGjx8v27/C/80e/zqlS5fWa6+95r3NFOik9o3F9jOxb8CBii0rYsvEX3LJJUH3OZSKBOihaFEXAQQQQAABBBBAAIHIF3j/u83aO6OPro2f6w0muVZbxXeddtjgtj55ro7ZucL7+gvFuuuW+56MfARGkDuBtXOlKR18901arE49+IKqVams1Vv2OF8fGP+Gesd/4Gu/ziVSl9dzdz6OQgABBBBAIIwEggrQLcj69+8w6nVwXTlw8IATtlpIWbxY8YAH2ecpqWmHf1byaCkm40uYwZ0151qvvjpJN/8voF3z61pnX/FAZcTw4Ro5coTzUVKyb6axW7fNeedpwYL5atmylT6fM+ewJhLi45yvDR48REP+F4TGxcZkWFHWZhXbVqxWbL9oNzjOaRQ2u9wN3m0/aluy3IrlFLfddluuA3Rrw/bytjat+M9kt5VzbQa7FetzqVKlvG4GG6BbwO9uT+s/xqwCdHtJIPP18Q/QLfy1lwUsPLf9xS2gt9V3LTy2FwDcFwNsuXHX1tq0AN1modu9aVvp2mREC8dtwmF2Abo7e9s/QLel8s3flr93r6Vtn5t5yXJbWdjat3PaNr026dHqm6ldT2vDZoXHxaXfNxaem6tb8jtAt6XXLcfxD9DN0Wbzm4+tSmD9sSzJ6li/Bg0aJJsZb2XChAnOEv6277v/vWCf2TWy2evmby9h2AsX9l+whQA9WCnqFYYAAXqI6vkZoNupbfkOC9Jnz57tfMOyh5MtD9K2bVvnG6n7Rll23bQlPKyNGTNmOLPjLZC3We0WrNte6+5SLSEONajqBOhBMVEJAQQQQAABBBBAAIGoEfjvmyvUb+U1qhGb/ss2p1w4Sjrz8Jnl26beqkq/vOlVm5bSWpcPeVvFE9J/WUQpYgKfDZcW+ZaC/Ca1pnoXf1hz7jpX1038Uit+36VOcfP1aMLzHkxaxdqK6ftVEYNiuAgggAAC0SgQVIAeoQO3VVW9AL144AC9MIZmAa4FmFYCBbRun3IKhW1W7/z587PcJtVd3jxzEOo/ZttX2w0WbSVZC15DLeZsq81ayesS7taGrYDrLg9frVo1J0S1YmG/rWzrv493sFYWglvAHEyA7r+Ee6Dr47+Eu2Uftjy45Sfvvvuu09dA/bOZ23fffbd3zW0mfl6XcLelzG2WdjB7oPu/KGEh9KhRo7zLbLPArViAbn2vWLGi8+cjFaBnt4S7/0sS9oKGjc2/PPLII96y8rY/vb1gYQG5vazgX+y62VL69mKA1Qm1EKCHKkb9ghQgQC9I7Sg8FwF6FF5UhoQAAggggAACCCCAQBYCySmpunDkDM3RLRlr9JwrVT39sKMOLnhCxeb4liP8KrW2it/ymU6pVhbjoijwYhtpU/ovDq08k3y5tjW9R8Mvb6Cd+w6p04TFKrP9W71TzHfPpMbEK/aBLVJc+nKjFAQQQAABBCJVgAC94K+crSTrbrFa2AG6jd5CaptEZxPobCKcG7yHIuMuy12zZk3ZPtW27LnNjM5c3n77bXXq1Mn5si3h3q9fP9lS3pnLypUrtX//fmePbdtv3QJnm5lsxYJed8a7e1xOLxuEEqDb/ty2DL2VQNfHwn0L+W0p+vvuu8/ZU91modvYbGtdK/7L0tufbdtc23fcii1PbsuU2yxrC4htKXZbFt3c7YUGuxaB9kC3zypXruy8FGIz0G0Gtr1QYDO17XwbN250ZmNbsWXO/bfx9Xe3Ge42+9st/gG6GdskSitHKkC3FzXcZeAtqPbfQsBmw1uIblsIn3rqqYfdF5999pkuuOAC5+vWjt1DBOih/E2lbjQIEKBHw1UsxDEQoBciPqdGAAEEEEAAAQQQQKCABZau26HJLz2hZxOf8s6cmlhasQM3SHHxh/fm54+lN7p4X9+RdpQ+v2SJrm5avYB7zukKXeDAP0p7+ETFpPn2WLz20CDd3uNmtahRwenepl3/6oZnPtXnyd0ydrfvcqlirUIfAh1AAAEEEEAgLwIE6HnRy92x06ZNc5bPtmIzg/33+fZvMadQOKcZ6DYr3GaH33vvvRo9enSWne3Tp4+ee+455/Pp06frqquuCnlg/m3Y9q9nnHGGLEzPXNq3b6+ZM2c6X7bw8/777w+4Uq3tMW7LcFupX7++sxy3BctWLHB391F328/JKpQA/fPPP3fMrGQO0G3V3VWrVjmfVapUydn7/JNPPlGdOnX0xRdfaN26dc5nVatW9VbxtbHYywkWulv55ptvnPDcir28sGDBAnXu3Nn5s80qt4DYrpstCW/HucV/9rUF6BbIu0bWjh2TVYDuf8/ZHup2fdziH6Db8vs2k95KKAG6Bfl2L1upVauWVqxYkeUe6P5hvr2o8PTTT3t9sVUC7EUBeyngtNNOO+xlDhuj2dr+8RUqVNBbb72lxo0bMwM95L+xHBDJAgTokXz1wqDvBOhhcBHoAgIIIIAAAggggAACBSQw6qOVqrZkiLrFz/adseb50nVvB+7B9l+lZxpn+OzhRp9o4BUtCqjHnCZsBH7+RHoj/ReWVg6mxat13Kta+EB72R6hbnlo5ir1/PJCVYrZ7et6l6lSnfZhMxQ6ggACCCCAQG4ECNBzo5a3YywwtQDUykcffeRseRqo5BQK5xSgW/hqAbAF4haMZ1Wsju2FbbO8LbT99NNP1aRJkyzrWwBuga3/0tjfffedE3ja7Ghry5aCt+Db2nPL66+/7uwR7hYL0J944glnlnnmYjOwbaa0FdtO1gJ0C6Btr2t3n2//Y3KyCiVA/+CDDzRiRPre8/4BuoXeNmPaZsZbsZnxFrRbAGyB78KFC53+JSUlOX+2UN3KJZdcorlz53rdtWtuy+ZbHZsJbmbWP9v33Wbtm5OF8/5jtRn5Z555pjNz3YrdPxb024xx2zfcZq/bft82E91K5hnoFtpb0Gyld+/eevbZZ73+uAG6bedry7u7JZQA3X+FgOOPP17WX9sH3oqN3e5Vt9gsfdsn3l5EMAMbr/tCif+LE+7LA/YiiLtFgFndc889zqx9K2Zigby7zL97DncJd7sWX3/9tbeiwGE3WhZfYAn3YKWoVxgCBOiFoR5F5yRAj6KLyVAQQAABBBBAAAEEEMhB4LxH52n87r6qG7vRV7PNUOmc/oGPTElSyoNVFJeW7H0+uOI4jezbA+uiJvDJIGnpeG/US1Pr6r1TX9Tojr5lLe3Dd1ds0rHvdNQZsekza5xy/jDp7DuLmhjjRQABBBCIMgEC9IK/oLb3tQWoNpvWlv622eEWoFqYaMVm2FpgmFMonFOAbmG1hZO2r/WTTz6ps846y5u5bUuHu3uf2zn992W3faOvv/56J/i1MNQCWpvpvGzZMmfGry1BbiGzfe5fbrrpJie4tWLhp52/adOmTkD83nvvOZ9Z+O3ub37HHXfo8ccfz/ICWIhpVra/uDtju3r16s4y5plLTlahBOj2AsEDDzzgnMJCfHf2uIW7ds2smJ3Z+OcQFn7ffvvtzvUzc5uRbTO/Lcy1fb9t5rcVs7Al6O149xr4z8ouW7asY2eBt+1HbuG362TBui2zbwH6vHnztHv3btnfYTPevHmzLr/8cucctry7tWEBsgX+NmO7Q4cOzrWzYkvKd+3a1Xk5wQLujz/+2Ank7R6xmfRWQgnQXSt78cHGbjPJL730Uqcd82zTpo1zHa1YgG7ntCXm3ZcROnbs6ITodn3tutty9Ha/zZkzR0uWLPGugS3vbveE3Tuupx1jLwW0aNFC5cqVcz63McyfP9/5z17QcJfWD/ZvOwF6sFLUKwwBAvTCUI+icxKgR9HFZCgIIIAAAggggAACCGQjsG7bXnV87EN9W/zWjLVumiUd71uaMHMTex87TaX3pC+xaGWI+mj40IdytecjFyhyBQ49c6YSt//kDWBcUic16TZGLWtXyjCoX/7ao+VP36Br4+d4Xz/YoIuKdXo+cgdPzxFAAAEEEJCc8M0CUttz2JZejqZiYacFizY7N/OS34U9zoEDB2rs2LEBu+HO2M0pFM4pQP/222+d4NZmB2cu3bp1c0Jz/2Jhr+0rbaFsdsWCftuL2p1h7Na10PTGG2/MMNvavx0LjW3mswW5zs/fQ4Zo+PDhWZ7KQs/ffvstw+eZ9xZ3P8zJKpQA3ZYfNwcrbtjt3wkLyi1Ud/eKt9nqFjZnVSyotj3h3Vnt1qa9WGDhtX+xWdV2X6Sm+rYWcj+3+3fMmDHOCxGWfbgBun1u18tCevN3A3SzdQNstw0LhW3JdJvNH6jYyw0Worv7y4caoFu4bXuYW7FZ37a8vRUL86+88krnZQAr7nW1Geg2491dhj4rv8zXwPxLly6tHj16OCs45FRsWXt3af2c6vpb2d8be364s/pzOpZMKichPs8vAQL0/JIsou3wsCqiF55hI4AAAggggAACCBQ5gelfbdTsd17Wi4njvLGnxZdQzL2/S/GJWXrsn3y1Sq771Pv8ueRL1WHAizq2bIkiZ1hkB7xvh/SIb19Jc+iuEXpx8O1KiEufAeaW5JRUjR3WT4Pipnhf213xNJXpO6/I8jFwBBBAAIHoECBAL5zraMHcxIkTNXnyZGdGti3N7c6yzq8A3UZmYbDtnW0zcv/66y8vTA8UoFv9nTt36oUXXnD29bZluO3PtjS4LZFtS7JbaN6pUydnpnDmYjOg7T9b4t0Cdpu9bTOSLSi2sP+GG25wZo+7S7BnDmgzt2ce9hKAWVmxWfO1a9cOeMHyM0D/8ccfnRcBrJiDzfq2sNxWBbD/b3tvZy42Zpvlb7mE7ZNu9Wx59iuuuMJZDv/999/3XhYw10DL0Fubixcv1mOPPaZFixY5QbeFzna8zSa3INj2ms8coNtxZmXX2oJ5K2ZrAbpdOwvfjzrqKGd5eAu5bcUDm3Fu18q+btfn/PPPV79+/TK8GBBqgO7eP7aHuW1TYEv0W8kqQLfPatasqSlTpjj7rpu73W/ma32yLQLOO+88576zF3zM3zxsWwCbZW4vBFgIb7PMbTa6BfFmb+G6vQRgLwTZUvG2r7vNig+lMAM9FC3qFrQAAXpBi0fZ+QjQo+yCMhwEEEAAAQQQQAABBLIQeOTT1Sq3cLh6xs/01TippdTtg2zN0mYNUcziJ706n6Y0UULXqTqvzuFLQoIfpQI/vSvN6OYNbn9aMQ2vN1MPdw685+ewcU9o2G7f7KID8WVU/P7fpRjfXulRKsWwEEAAAQSiWIAAPYovbgEPzQ3Q7bTZ7aFewN0K6nSR3PegBkilkAQI0EPionIBCxCgFzB4tJ2OAD3arijjQQABBBBAAAEEEEAgsMDtb6xQz1U3qmHsel+FcwdJ5w7MnmzFa9J7t3l11qRW1azW7+u21jWhLiIC+9/5r0p+51u6dH5KQyVf+5ba1A38EsXDb3yigT93zqhz969S6YzLvRcRPoaJAAIIIBAlAgToUXIhw2AYkRxCR3Lfw+DSR10XCNCj7pJG1YAI0KPqchb8YAjQC96cMyKAAAIIIIAAAgggUBgCXZ6erde3X6W4mPSlHZ3S7UPppHOy787vX0ovX+jVOZQWp7tqf6qnu6Yve0iJfoF/Hmmksvt8+2o+ltZVfQc/rWLxcQEHP2XxWl316RkqHpPk+7z7TOnEs6IfixEigAACCEStAAF61F7aAh9YJIfQkdz3Ar/QReCEBOhF4CJH8BAJ0CP44oVD1wnQw+Eq0AcEEEAAAQQQQAABBI68QN8RY/VM6ijvRKmxCYq9b6OUkMNe5vv/lsaelKGDN5R6TpMHXHvkO80ZCl9g92ZpXN0M/Xj0hAm6+8Zrsuzb8t/+VqmXW6lu7O9enaSLxynhjB6FPx56gAACCCCAQC4FCNBzCcdhhwlEcggdyX3nVsx/AQL0/DelxfwTIEDPP8si2RIBepG87AwaAQQQQAABBBBAoIgJ7DmQpMdH3qkhCVO8kR+ofLqK954blETy6BMVf3CnV/fmpLv1zLBBKp4QeAZyUI1SKSIE9ix7TUfN9C3hvzutpBZ3+kptT6mWZf/3HkzWvAfb65K4pV6d7Q1uVsVOj0XEmOkkAggggAACgQQI0Lkv8ksgtyH0vn37tH6933ZMIXToP//5j+Li4nTw4MEQjvJVTUxMdI7Pbd9zdVIOCnsBAvSwv0RFuoME6EX68ud98AToeTekBQQQQAABBBBAAAEEwl1g5ebdWvRsL90S/5HX1ZT6VyruqpeD6nrKSxcq7o8vvboPJnXVpb0eUqPq5YI6nkqRK7Dm5Z6q9ft0bwCfpTXRWffPUonE7F+emDTqFnVPmuYdt7nS2TruNt/9F7ki9BwBBBBAoKgKEKAX1Suf/+PObQg9b948tW7dOlcdsuD92GOP1Q8//JCr4y2AP+qoowjQc6UXvQcRoEfvtY2GkRGgR8NVLMQxEKAXIj6nRgABBBBAAAEEEECggAQ++XGLkqd1yzAjWGf9V7pgRHA9eO82acVrXt03klsr9vKn1Lnp8cEdT62IFVj9yAWqs2+Z1//3K9yoy25/IsfxvDxhrG7a4tsy4O/E43T0oFU5HkcFBBBAAAEEwlWAAD1cr0zR6Vc4BOhFR5uRBiNAgB6MEnUKS4AAvbDko+S8BOhRciEZBgIIIIAAAggggAAC2Qi8uGCdTv/sajWOXeOrdfEj0hm3BOe26Anps6Fe3S9T6+jjJi9r2GX1gzueWhErsHFkA1VP2ej1f379B9XqqttzHM+09z5Q5xXXefVSFaPY+/+UEkrkeCwVEEAAAQQQCEcBAvRwvCr0CQEEClOAAL0w9Tl3TgIE6DkJ8Xm2AgTo3CAIIIAAAggggAACCES/wOB3f1TvFZfquJi/fYPtMlWq0z64wa/+SHrzWq/utrQyuu246Zp+a4vgjqdWZAqkpWnf8CoqpQNe/79u/Zoat7o0x/HM/2GdWr19WoZ6qbcuUuyxp+R4LBUQQAABBBAIRwEC9HC8KvQJAQQKU4AAvTD1OXdOAgToOQnxebYCBOjcIAgggAACCCCAAAIIRL/AjROX6KXfL1ZcTJpvsLfMl447NbjBb18jPdMkQ92z9IoWDb1CMTExwbVBrYgT2Ltru0o/USNDv3/rulgn1sp55YEt/xxQyrh6qhqzwzt+W9sJqtT8mohzoMMIIIAAAgiYAAE69wECCCCQUYAAnTsinAUI0MP56kRA3wjQI+Ai0UUEEEAAAQQQQAABBPIo0HnsDE3bf3PGVgaslUpVDK7llCSljaqimNRkr36HgyM0fuAtqlqOJbmDQ4y8Wr/+sEQ1327rdTw1LUZJ921WseIlcxxMWlqalg5vqRb63qu7pt7tqnX1gzkeSwUEEEAAAQTCUYAAPRyvCn1CAIHCFCBAL0x9zp2TAAF6TkJ8nq0AATo3CAIIIIAAAggggAAC0S2Qkpqma4c8qWnxvj3MU+MSFfvAVimE2eNpTzdWzI5fPay7DvXSxdf11/n1Kkc3YBEe3fJPX1eTJX08ge0qr4rDfgta5NNHb9BFe9/z6q+qeKHq9p0R9PFURAABBBBAIJwECNDD6WrQFwQQCAcBAvRwuAr0ISsBAnTujTwJEKDniY+DEUAAAQQQQAABBBAIe4HNu/7VQ2NH6ZnEp72+ppQ7UXF3fBda39+4Rvp5pnfM+OTLlNp6iG5vUyu0dqgdMQILXn9ILdc87PV3TUId1br/y6D7/8krI9V2w6Ne/Q2JNXXCoK+DPp6KCCCAAAIIhJMAAXo4XQ36ggAC4SBAgB4OV4E+ZCVAgM69kScBAvQ88XEwAggggAACCCCAAAJhL7B03Q59NnGwHkh43etr2olnK6b7R6H1fdZgafFT3jEfpzTVh3XGanzX00Nrh9oRIzBvfB+du81333xftrUa3vlu0P1fNOttnb34Jq/+vyqmEkO2SLGxQbdBRQQQQAABBMJFgAA9XK4E/UAAgXARWL16tQ4dOiTbvqlRo0ZBdYtMKigmKuWDAAF6PiAW5SZ4WBXlq8/YEUAAAQQQQAABBIqCwPTlG7X33bt1U/wnvuE27CJ1fD604X8zWXr/du+Yn1OrqXeZ8Zpz97mhtUPtiBH44uHLdda/87z+flf9OjXqMT7o/q9dt0Y1JjfJUH/Xrd+q3LEnBd0GFRFAAAEEEAgXgXXr1ungwYNOd2rXrq24uLhw6Vqe+2HjSk1NddopXry4YkLY5ifPJ6cBBBCISIGUlBTZDPSkpCTnmdGwYcOgxkEmFRQTlfJBgAA9HxCLchM8rIry1WfsCCCAAAIIIIAAAkVB4LFZP6vewtt0cdxXvuGec5fUZkhow9+wRHqlrXfMwbR41Ts0ST8Mv1glE+NDa4vaESHw3fAz1ChttdfXlQ0HqV7HgUH3PTk5RQdGVlXpmH+9Y35s86oanNMh6DaoiAACCCCAQLgIbNmyRTt37nS68CG0XgAAIABJREFUc8wxx6hChQrh0rU898NmkFoYZiUxMTGqXg7IMw4NIIBAQIFdu3Zp06ZNzgz0UqVKOS8WBVPIpIJRok5+CBCg54diEW6Dh1URvvgMHQEEEEAAAQSiUiAlNU0rN+/W0aUTVbVciagcI4MKTeCON1eo+8qbdGrsOt+B7cdJTXuE1tC+HdIjJ2c4puXBx/VUn446tXq50NqidtgLHEhK0Y4Ha6lqzA6vrxsveEHVz+ocUt9/ebCpaif/4h2zuNY9OrPr/SG1QWUEEEAAAQTCQeDAgQNav3691xUL0MuUKaNixYpF/IxtC88tBLNiM0kTEhIUGxsb8eMKh/uGPiAQbQL2vNizZ4/spSKbfZ6cnKxq1aqpUqVKQQ2VTCooJirlgwABej4gFuUmeFgV5avP2BFAAAEEEEAg2gQsPO/12teavfIvZ2hjr2yoq5tWj7ZhMp4QBTo++4Um/HWtjonZ5Tvy2ulS7YtCbEnSwydK/6bPvLLS/dAAXdThBl3T7PjQ2+KIsBZY8+dOnTzhJMXFpHn9/Lf75ypxYsYl2XMaxDdPXK3Td33qVVtUvoPO/u+rOR3G5wgggAACCISlwObNm/XPP/9k6JsFztGwnLu7hHtYwtMpBBAICwHb69yeFe7/WnhuL9zUq1fPeekmmEImFYwSdfJDgAA9PxSLcBs8rIrwxWfoCCCAAAIIIBB1Au9/t1n93ljhjeuoYvFaOqiNShVjee2ou9ghDKj5yI+1OPkaxfoFoer1hVSlQQit/K/qSxdIfyzzjhuZdJ3iz+qr+9rVDb0tjghrgYXLv9U5H7bK2McBa6VSFUPq9zevP6DT1zztHbMirqFOG7wwpDaojAACCCCAQLgIWGi0Y8cObdu2LVy6lG/9sLHZzFL7XwoCCCCQlYAbntvnFp7XqVNH8fHB/86BTIp7q6AECNALSjpKz8PDKkovLMNCAAEEEEAAgSInkJqapoueWKA1W/dmGPuDHRrouuYnFDkPBpwusP9Qsi4cOkWLit2RkWTgb1KJ8qEzvdtH+vZ177ipyefpq1OG6vHOp4beFkeEtcAHH/yfLv36Rq+PB5WoYkO32rquIfX71/lTVXNub++YLWnlVe6BtSqeEBdSO1RGAAEEEEAgnARsufO9e/dq3759ztLn0TR720J0m1Xq7okeTu70BQEECl/AVt0oXry4ypcvL9vKItiZ527PyaQK/xoWlR4QoBeVK32ExsnD6gjB0iwCCCCAAAIIIFDAAjN/+FN9Xv/msLP+p/JR+uSOc9i/sICvR7ic7ucte/TAky9oRrERXpfSEkoqZtDmkINQp4FFj0ufDfPaWppaV09Vf0JTezYPlyHTj3wSmPHK47pqg+9ab02spmMG/RRy6/v/+FElXzorw3E/3fCT6p9cLeS2OAABBBBAAAEEEEAAAQQiW4BMKrKvXyT1ngA9kq5WGPaVh1UYXhS6hAACCCCAAAIIhChgs8/bPbVQq7fsCXjktFua64yTK4TYKtWjQWD2yr/0wWtP6qnE8b7hVKgl3b48d8Nb9aE0rat37Na0crq27GR91j/TUt+5a52jwkhg2hP91XnXRK9Hv5drpuPvmB16D5MPKuXBKopTqnfs7LPe0AUXtAu9LY5AAAEEEEAAAQQQQACBiBYgk4royxdRnSdAj6jLFX6d5WEVfteEHiGAAAIIIIAAAqEKfPrTFt065essD2vf8FiNv/b0UJulfhQITFy0Xts+HqN7E970jebkc6Ub3svd6Lb9LI1vluHYFpqkJcOuyF17HBW2Av/34DXqmDzT69+G46/QCTdNylV/t46qp2OSNnnHvn3CYF154925aouDEEAAAQQQQAABBBBAIHIFyKQi99pFWs8J0CPtioVZf3lYhdkFoTsIIIAAAggggECIAmlpabrk6UX6afNu78i42BilpKZ5f46PjdEX956nymWKh9g61SNdYNj7P+mkZUPVLd5v5vCp10kd/GakhzLI5ENKG1VFMWkp3lGXHxyhN4f3VYlE9rQOhTKc6yalpGrB8DZqE+vbFmLLaXeoyuXDc9Xt9U9dopP+Xugd+3+lOqvjgBdy1RYHIYAAAggggAACCCCAQOQKkElF7rWLtJ4ToEfaFQuz/vKwCrMLQncQQAABBBBAAIEQBT5f9Zd6vJpxOe6Rl9fXQzNX698kX8j53za1dOcFtUNsneqRLnDTpK90zdqBuiDOb4WCVgOl1oNyPbTUJ09X7M613vF3HuqtO+4arBMqlMp1mxwYXgIbduzTvidbqF7sBq9j+9s+oZLNb8xVRze82V8nrPYtBz87rZnaDJ2l2NiYXLXHQQgggAACCCCAAAIIIBCZAmRSkXndIrHXBOiReNXCqM88rMLoYtAVBBBAAAEEEEAgRAGbfd5h/Bf67o9/vCNPrlhKs/u30gPv/qA3lm30vn7MUcWcWegJcbEhnoXqkSxw/rj5emJXPzWI/c03jEufkhp3y/2wpnaWfvnEO/7J5I5q0eMxNTvp6Ny3yZFhJbDgl21q+HojlYvZ5+vX9e9INc7LVT//+WKiys7u7x37S2pVFfvvV7x0kStNDkIAAQQQQAABBBBAIHIFyKQi99pFWs8J0CPtioVZf3lYhdkFoTsIIIAAAggggEAIAvN+3qrur3yV4YhxVzdSx9OraeXm3Wr3lG/JZKv0zLWn6ZKGx4VwBqpGskBqaprqDvlEi+N6qkLMHt9Qrntbqnl+7of24Z3S8pe9419PbqMyVz2jSxtxb+UeNbyOfGPhSl3zeYuMneq7XKpYK1cdTduwRDGvtPWOPZgWry+u/l7n1a+aq/Y4CAEEEEAAAQQQQAABBCJTgEwqMq9bJPaaAD0Sr1oY9ZmHVRhdDLqCAAIIIIAAAgiEIGCzzzs+t1grft/lHXVChZL6vH8rxf9vlnmn5xZr+Yad3ufNTjxa03tlCsVCOCdVI0vgr90H1PKhj/Vz8e4ZO95nqXRM3dwPZu5oaf4Y7/hPUppq00UvqsfZJ+W+TY4MK4HnZsxU75+uydinQX9KiSVz18/9f0tjM94f77X8UJefd07u2uMoBBBAAAEEEEAAAQQQiEgBMqmIvGwR2WkC9Ii8bOHTaR5W4XMt6AkCCCCAAAIIIBCKwKI123XdxC8zHDK2U0Nd3aS697X3v9usfm+syFDnkzvOUZ0qZUI5FXUjVOCr3/7W3c+/o/nFfEtnO0O5d6NUPA/3wLIXpZl3eyrLU2trdvPJuq9dHkL5CDWO1m4//txzuvOve73h7Y8vp5IP+PZDz82494yorqNSd3uH/l/dJ9Wxc6aXO3LTMMcggAACCCCAAAIIIIBAxAiQSUXMpYr4jhKgR/wlLNwB8LAqXH/OjgACCCCAAAII5Fbg6glLtOy3v73Dq5Uvobl3n5thj/NDyak6c8wcbd970Kt37RnH66ErTsntaTkuggTe/voPvfX2VL2ROMrX62JlpPs25m0UK9+Tpt/gtbE+tbKerDdNT3Q5LW/tcnTYCIwbM0j9D4z3+rOzbD2Vv3NJnvr355jGOvbAr14b06rep849fSF9nhrnYAQQQAABBBBAAAEEEIgIATKpiLhMUdFJAvSouIyFNwgeVoVnz5kRQAABBBBAAIHcCmze9a8TjPuX0R1P0TXNjpd2rJW+mSyVqiQ1uVHj5v2hp+b4QqsSCXFaOqiNypZIyO3pOS5CBB6f/Ys2zp2ocYkTfD2uVFe6bWneRrBhsfTKxV4be9JK6NZq72pqz+Z5a5ejw0IgNTVNE4bdqD6x73j92Vn9ApXv8Vae+rfhybY6YacvhJ9Wroc63zEuT21yMAIIIIAAAggggAACCESWAJlUZF2vSO4tAXokX70w6DsPqzC4CHQBAQQQQAABBBAIUWDBL9t0w8vLvKNKF4vXN4MvUGLSbum5s6Tdf6R/dmpXbWk9Tmc9PEcpqWle/SGX1NNN7FcdonrkVe8/7Vsd+/14DUiY7ut8zfOl697O22C2/yo90zhDGxeXnq6P774ob+1ydFgI/PnPv1r86FW6Mm6h15/9p/ZQyQ55C7t/e+l6nfjH+16b/5d4mToOmhIWY6YTCCCAAAIIIIAAAgggUDACBZFJxcTEBDWYVq1aad68ednW/eSTT/TCCy9o2bJl2rZtmypVqqRmzZrplltuUdu2bYM6z/79+zV+/HjNmDFDv/76qw4dOqTq1aurffv26tevn44//vig2qFSaAIE6KF5UTuTQEE8rEBHAAEEEEAAAQQQyF+BKUt+0+D3fvIaPaVqWX1w+9nSkvHSp4N8J4uJle5cqT4fbNbMH7Z4Xz+1ejm9e9tZ+dspWgs7gU7PLdYVmx5V1/jPfX07vZt02VN56+u/u6SHT8jQxoUar1nDrstbuxwdFgJL1u5Q2qRLdGbcSq8/aReMVMxZ/fLUvz+mD1C1lS94bczUWWo3bGae2uRgBBBAAAEEEEAAAQQQiCyBgsik8iNAT0tLU69evZzwPKtiIfqECROU3fnWrl3rBOU///xzwGbKli2rqVOnql27dpF1ISOgtwToEXCRwrmLBfGwCufx0zcEEEAAAQQQQCASBUZ+uFITF633un5po+P0dOdG0jNNpL/XZhzS+cM1t+K1unHSV97XSybG6afhF2X7j7xIdKHPGQWajfpMYw6M1Hlx3/o+aH2/1OqevFGlpSlt5DGKST3ktXPZwZF6c3gflUyMz1vbHF3oAtO++l1nfHC+Toz9y9eXTq9IDTrmqW/bZz2miotHeG0sTqmn0wYvUonEuDy1y8EIIIAAAggggAACCCAQOQIFkUm5gXbv3r3Vp0+fLHFKlSqlk046KeDn999/vx566CHns9NOO0333HOPatSoIQvEx44dqxUrVjifWb0HH3wwYBt79+5V06ZNtXr1aufznj17qkuXLipRooTmzp2r0aNHy+qULFlSS5YsUcOGDSPnQkZATwnQI+AihXMXC+JhFc7jp28IIIAAAggggEAkCvSY9JU+X73V6/rt59XUXTU2S1M6HD6cSnW0pes8Nc+0Z/qS+87TsWVLROLw6XMQAgeSUlRn8Cf6OHGg6sZu9B1x+bPSaV2DaCH7KqmP1VXsns1epZsO3a0h/fvrxIql8tw2DRSuwMMfr9QdS89RsZhkX0d6fCZVb5qnjh345k0Vf/9Wr401qVUV3+8rncQ9kydXDkYAAQQQQAABBBBAIJIECiKTcgP0oUOHatiwYSHz2DLrdevWVXJyspo0aaIFCxY4obdbbEl2W/59+fLlio+PdwJyC9czFzv38OHDnS9b6D5gwIAMVSw0b9mypXOe1q1ba86cOSH3lQOyFiBA5+7Ik0BBPKzy1EEORgABBBBAAAEEEDhMoM1j87R22z7v649e1Uid1gyUVn8YUCvt5jlq8MI27TuU4n0+pUcznVOrErpRKvDr1j06f9wCfVusp8rF+O4VXf+uVKN13kf9fCvpT9/M9gFJt+iqm+9Ts5OOznvbtFCoAve9+plGr78yYx/6r5LKHJe3fq2bL02+zGtjZ1pprbrhO51Zo2Le2uVoBBBAAAEEEEAAAQQQiBiBgsik8hqg33bbbXr22WcdUwu5mzdvfpjv0qVL1aJFC+frffv21dNPP52hTlJSko455hjt2rXLCeN//PFHxcbGHtaOLRP//PPPO1+3QL5x48YRcy3DvaME6OF+hcK8fwXxsApzArqHAAIIIIAAAghElEBKaprqDv5Eh1JSvX6/f8OJajjjbCnN97UMg2raU5et76Dv//jH+/KwS+up+1mBlyqLKBA6G1Bgzuq/dNukRVpV/KaMn/ddLlWslXe11zpJv8722hmb1Fl1rx4m206AEtkCd457SY/vvssbRGpMvGIHb5Vi87jU+tZV0rMZf/H07qUr1KHxyZENRu8RQAABBBBAAAEEEEAgaIGCyKTyEqDb3ufVq1fXpk2bVKdOHa1atSrLsdnntrd5tWrV9Pvvv2fYJm/27Nm68MILnWPHjBmjgQMHBmzHP4gfNGiQRo0aFbQlFbMXIEDnDsmTQEE8rPLUQQ5GAAEEEEAAAQQQyCCw8e/9Omfs3AxfW3nucpVcOi5rqRLldffx0/XWd9u8Otc3P0EjOzRAN0oFJn2xXlM+nK3Pi2VcIk6D/pQSS+Z91O/2kb593WtnYvLFSrvoId18DmFo3nELrwX7ZdGdw0boiRjf8+RAqWoqPuCnvHdq/9/S2Iwv7Uxu/rFuaHtm3tumBQQQQAABBBBAAAEEEIgIgYLIpPISoK9bt85bjv3WW2/VhAkTsnS1z1944QXnczvOfz/1IUOGaOTIkc5nWc1it89s+fZy5cpp3759znLu8+fPj4jrGAmdJECPhKsUxn0siIdVGA+friGAAAIIIIAAAhEnsGjNdl038Uuv3+WLSd8cdadi9v7lG0uNNtLazzOMbWa9serzTTXva2fWqKCpPQ9fhiziQOhwQIERH6zUL0ve12uJo32flygvDfwtf8RmD5G+eNJr672UM7WyxTjd165u/rRPK4UisGPvQT07ur8GJ7zmnf9g1eYq1vPTvPcnNVUpIyoqTr6tJF74z0Tdck2nvLdNCwgggAACCCCAAAIIIBARAgWRSbkBer169ZyA2maH217lVapU0Zlnnqnu3bs7e44HKh999JEuueQS56PHH39cd9xxR5au9nn//v2dz+24du3aeXWvuuoqvfXWW86fd+7c6YTkWZVGjRrp+++/V6VKlbR169aIuI6R0EkC9Ei4SmHcx4J4WIXx8OkaAggggAACYS2Qmpqmz1b9pX+TUtS2QRUVi8/j8rlhPVo6F6zAlKUbNPjdH73qt1b8XvftHZPx8F6LpJn3SL8v9r7+17Hn6Yz1N3t/rlymmL4cdH6wp6VehAnc/Opylf9lmh5JSH8b3imVT5F6L8qfkSx+Rpp1v9fWopT6eqv+eD3R5bT8aZ9WCkXg6w079e2LvdUj/mPv/KmnXK3YK1/Ml/7seaiWjjrk+4XQ01VG6fZeffOlbRpBAAEEEEAAAQQQQACB8Bfwz6Q++OADnXrqqdl22pZHD7W4AXp2x3Xo0EGTJk1S2bJlM1SzGee9e/d2vjZjxgx16pT1C78WkFtQbsWOsxnpbrF907/88kuVKlVKe/fuzXYIFthbAG/lwIEDKlasWKhDpn4AAQL0EG8Le3tj2bJlzn/2F9X+27Fjh9NKt27dnL8wuS379+9XgwYNtH79eqeJE044Qb/9lvMMDztu/Pjxzl/GX3/9VYcOHXL2WGjfvr369eun448/PrddyvE4AvQciaiAAAIIIIBAoQk88O4Pem3p7875T61eTm/0bK4SiYTohXZBwuTED364Ui8tSv9508qs8mNV+99vfb2r3lzq8an0zRTpfV8wlRYbryb7n9YO+f5x+MOwC3VU8YQwGRndyE+Bix5foLbbJ+nOhLd9zdZuK107LX9O89006Z1bvLZWp1bX8Gov6Y1bWNUgf4ALp5V3Vvyh4v/XXRfHfeXrwDl3SW2G5EuHdoxroQq7V3ptPV36v7r97hH50jaNIIAAAggggAACCCCAQPgL+GdSwfTWtpkKtVhofdlll6lNmzbOPualS5fWtm3bnOXRLeh2M8FWrVrJ9ipPSPD9XuSRRx7RPffc45zy448/Vtu2bbM8vX3uzjp/9NFHddddd3l169evr5UrV6py5crasmVLtkPo3Lmzpk+f7tTZvn27KlSoEOqQqR9AgAA9xNsiuzdP8hqg33333Xrssce8HgUToK9du9YJyn/++eeAI7G3X6ZOnZph6YcQh5xtdQL0/NSkLQQQQAABBPJP4J9/k3TaiFlK9ft3QsfTq+qxqxopmDdp868ntBRuAje/+pU+W5U+g7NmzB/6rFj6P+y80vElqeFV0oHd0qO1peR/vY9GJl8v26vaLe/ddpYaVc96GbFwGzv9CU7AfsFQb8inGpr2nLrEz/Md1KSHdIlvb+vgWsui1to50pQrvA+3pZVRlzJT9Pld5+apWQ4uXIHHZ/+i1gs769TYdb6OtB8nNe2RLx3b9vxlqvSnb0+/CXHXqtfg5/KlbRpBAAEEEEAAAQQQQACB8BcoiAB9165dWS6Z/tdff+niiy/WihUrHKwnn3zSmcjqFtu33PYvt/L555/rvPPOyxJ1zpw5TkhvxY574IEHvLo1atRw9kW3ybK2hHx25YYbbtCUKVOcKhs3blRuZt2H/5Uv+B4SoIdo7v8LZ7tx69atq1mzZjmt5CVAt79sTZs2dd5Usf/27NmT4wx0W7bBjlm9erVz/p49e6pLly4qUaKE5s6dq9GjRztLO5QsWVJLlixRw4YNQxxtztUJ0HM2ogYCCCCAAAKFIfDpT1t065SvDzv1gx0a6LrmJxRGlzhnmAicP26+ft2avvzXsPhJ6h6f/rOsU0pWlPqvlOL/t9zX2z2lH9LfYrayJvYkXbB/lPfncVc3UsfTQ18OLUwo6EYWAtv2HFTTUZ9pcsJotYz7wVfrvMFSy7vzx23LD9KEs722UtJidLre0HfDfS9o5M+JaKUgBe54c4XuX3W5KsX84zvttTOk2hfmSzf+nnqLjv7FtwrCqykX6brh0xQXG5Mv7dMIAggggAACCCCAAAIIhLdAQSzhnpOABduWDdpq0DVr1tSaNWu8Q5iBnpNe5HxOgB7itRo6dKgTWtt/tnSCLbF+0kknOa3kNkBPSUnRGWecoa+//lojRozQxIkTtWHDhhwD9GHDhmn48OHOuceOHasBAwZkGI2F5i1btlRycrJat24te5slvwsBen6L0h4CCCCAAAL5IzD0vR/16pINhzWWEBejabe20OnHl8+fE9FKRAmkpKap7uBPdCglVSV1QEuL3aYyMb4Z5jq7v3T+UN+YMs0Stg/aHhyj1WnpWwTd1rqGBlxUJ6IM6GzOAraP9ZXPLdasxAGqHbvJd8AVz0uNuuTcQDA19vwlPVY7Q83GB57TwhFXq2RifDAtUCcMBa4eP1fTt3XI2LPeS6TK9fKlt/tnDlHJZU96bX2YcoaaDnhflcsUz5f2aQQBBBBAAAEEEEAAAQTCWyBcMin/fcc3bdqk4447zoFjD/Twvn9C6R0BeihaAermR4A+btw4Z2+D//znP/r+++9Vu3btHAP0pKQkHXPMMbKlJOxNlx9//FGxsbGH9bBXr156/vnnna8vX75cjRs3zuOIMx4eLg+rfB0UjSGAAAIIIBAFAm0em6e12/YFHEmVMsX1Yb+zVbH0/2YZR8F4GUJwAn/s3K+zH57rVL4m7nONTpjod2CMdMf3Urn0cNwpqSnS4w2kPZu9L72Y3E6jkq9z/ty2fhVNuD5/f74MbiTUOpICM3/4U31e/0Y/FOuho/xfsOj2oXTSOflz6pRkpY2sqBj59pm46OAYPX/XDTqxYqn8OQetFLjA5SMm673U2zOe996NUvEy+dKX1CXPKfbTe722vkyto2I9P9WpbCWRL76R0MjabXs14oOV2rn/kC4/tapuaHGCEuIO/11IJIyFPiKAAAIIIIAAAgiELhAumZTtc26zza0sW7bMmXRr5cMPP9Sll17q/P/HH39cd9xxR5aDtM/79+/vfP7RRx9l2Iq5U6dOevvtt53Pdu7cmeWS8vZ5o0aNnGyxUqVK2ro1fcs+St4FCNDzaJjXAN1mmtevX1/79u1zZojbTPETTzwxxwB99uzZuvDC9GXwxowZo4EDBwYcydKlS9WiRQvns0GDBmnUKN+Sm3kcunN4uDys8mMstIEAAggggEC0CGz554Caj/482+G0OLmCpvRopnh+6Rwtlz2ocXzx63Z1felLSWmamThI9WL9VimofbF07ZuHt/PZcGmRb9/rbWll1fzgM0pRnGodU1qz+7cK6txUihyBKUs3aOy7y/RD8ZszdrrfCunok/NvIGNPlvbv8Nq79tAg/ffmm3XGyRXy7xy0VGACuw8k6dYRj+uNRN+/OVMSyyhu0Mb868OPb0tv3eS1tzb1WK25ep7aNqiSf+egpbAWsNUxbJUMt9SpcpRGXdFAjU84Oqz7TecQQAABBBBAAAEE8kcgXDIpWxH60UcfdQblH6Db8u62f7mVW2+91ZmRnlWxz1944QXnYzvOXe3a/mz7qNu+6FZstenmzZsHbMZWoC5XrpyTMdqK1PPnz88faFoRAXoeb4K8Bujt27fXzJkzdf3112vy5MlOb4IJ0MPlL0+4PKzyeBk5HAEEEEAAgagS+L9v/lD/6d95YzqqeLwaHFdWS9b5girnB/lWJ+u+i+tG1dgZTPYCry3doAfe/VFVtU1fFP9vxspd35JqXXB4A9vXSM80yfD1Gw8N0NzU02RbAqwa0ZYXMaLsxnvq8zX68LPPNatYppd0H9gqxefjyhXjz5C2rfb0+h26Ted37qvLGqUvfUeJLIEfN/2jV8Y/pMcSfb8gSq1UV7G3Lc2/gfy2SJrU3mtvd1pJvXPREnU788T8Owctha3Apl3/6qwxgbem69K0uga2raPypRLDtv90DAEEEEAAAQQQQCDvAuGSSbnZno3ojz/+UNWqVZ3BpaWlqVq1atq8ebPq1KmjVatWZTloW1169erVzrEbN25UTEyMV3fWrFm66KKLnD8HO4n2vvvu00MPPZR3ZFpwBAjQ83gj5CVAf/PNN3XNNdeofPnyzl8SW5LdSjAB+lVXXaW33nrLqV+YyzeEy8Mqj5eRwxFAAAEEEIgqgf7Tv9X/fePbt/jCepX1UMdTdMlTi7Rl94EMY51w3elq2+DYqBo/g8laYNRHK/XiwvU6M/ZHTU30+0dVsTLSwA1SgC2BnNZebCNtWu41/GFKc/X9f/bOOryJrAvjb5KmKe66yOJOcXd3d5fitlCcFpcCizsUX1x2cVrc3SnutvjiNP49k37MNNDSpJGG9p3n6R/J3POec393cjPNmXuutrfp9YH+5ZCBJbej1WU3cmsQHpz8B8vcJ0n9ipNuPXxSAAAgAElEQVQMGHDHvv1cVgt4cETUHK1tjdTV+sGrtB1Xuds3Yqr9hMD2y89wc50vvJUh/6eajixVgJYb7MctjAd6phQ5BO8a+ezng0ouS2DN6UcYsvlKuPEljuOOwdWzo3HBNGY/PrpshxgYCZAACZAACZAACZCA1QRcISclrBYXkuPCVssZM2bE3bt3zfrRvXt3zJs3z/ReeKvHQ1ePFtrPmTPHTEOj0Zhyhu/fvzdt4xwUFBTmPW7obZxDr4S3GiwNfiDABLqNF0VkE+hC0lu46F+8eGHao7xz585iJJYk0IVyDadOnUKcOHHw6dOnn/aiVq1apv0ThCM4OBgqleWrRoQnZ352XLx4UdzP4fDhwyhUyHx10jdbd3d3KBQK00u9Xg/hw/+zI1asWOJpYRISylCEdwh7v4fuk6At+AjvcHNzg1KpFE8LTISngsI7hLaCjXAYDAao1eqfxi7E8m0/eiFuIf7wDuGJIg8PD4v7KjAUWH47hFiEmCzt69evX38aO8cpbDwcJ36ehCvj+7mDnyfp88J5L+y5I6q+n4TvtPLTjuPFR+n7yqd6VnQonQkXn7xH0wUnoNVL33upE3ggsHdxKOTSU66c96LvvNd9zWXsvf4CTRUHMFG5SLx4DclzQd3evOy/2bx3ehGws7/Y/qkxCUqqZ5lez22WF+WzJTXdo/B+78f54Ff8PHlvuooE19dggnKx1KFU+aDtsNeu9+WqbV0hv/aP6GOurg5eFx6IAVUyhzmx8r48/Ft5V/j/aeGRB0h+eAiaux0QAzUWbI/gShPs9/+T+gM8pmc10xuRYRUGN6kYpg/+/xS9/s/ts/4Krt+4isFua5BE9hHrdWWx2VBaWBtiNv6NC6TG6NrZxff4/cT/c6Pqvjy8yY//P7nW/08cJ8AV7iO+jQPv91z7fo/jxLzGt2sgKv/PPXv2rKlUuXA4ImG8bds2VK9eXcwJff+pFHJ6wvkLFy6YTk2ZMkXcx/xb21u3bpm2bhbyQ0LOTMidhZ5rhd+VhT4IfRF+e7l27RqyZMnywwQQuhL1pEmTIJSND30IyXlBR/BTtmxZHDx48Kf/e/GkdQSYQLeO1w+tI5tA9/LywuLFi037kx87dszsyRFLEujCh0/4UKVIkQLPnz//aS+aNm2K9evXm9q8fv0aSZJYvqdg6JIREaESPsBZs5r/mPHNpnTp0kicOGRPsrdv3+LIEWmlSVi6devWFd++c+eO6ema8A5hBf+3CVNoIzyBJJTHCO8Q9p/InTu3eDogIMD0YEF4hzDBfSu/IUxsQumMnx3C3vTfJsOnT5+aJsHwDiF5/q0Mh9Dm6tWrPzytFNo2derUKFy4sPiWMPEKD2OEdwjXSebM0g+QW7Zs+WnsHKew8XCc+HkSrgx+nsKfPjjvhc0mqr6fXnwFxl8MefDr2zE0nw6t64Z8Pwl7G/v+c9XsvG9+HZJKz3OZHu7i91PY4/qr30cMPfIFt19+grfbevRykxKX/yYoiNMZzUu6m817/14CFoT8gyocBqMMOdRLoYY76qTTo+JvRvA+IvrcR8y5JketzxvRO9Q1guy1cKfQKLvel5f8uA1J70irk9fpymF9Qi+0yRL2A6K8Lw//u9gV/n/adF8OrzcTUUYhrRDWlhmKnR+lRGZYPbDqPkKlQsXTreFmkB7I7uU2EpXyhF21gP8/RZ//c4Vn/4adUWCRfDxKKaTfB/YbC6G/2gtvEd/s8hpdUIcE/3/2nN9P0ef7KXRPXGHe+xYPv59c+/uJ48TfYb9dA/w/l7/v8fe96JHXEJLTAwcONH20HZFAF/JzwqLIhg0bmvJ3wmvh9zQhtyYkqIU9zd+8CdkisVSpUti7d2+Yi1aFcupC6XXhyJ8/PwYNGmTaG11YrT5x4kQxAf+zsusfP340JeCFPguHsBC3WbNmpngOHDhgKtcuLLAVXh8/fhz58rEyV/h3JdafYQLdemZmFpFJoAtJz3LlyplW6Jw7dw558+Y107QkgS580IQyEWnTpsWjR49+2os2bdpg5cqVpjbCPgrC/guWHkygwzRBMYEe9hXDf1jD5sIf6qLPD3WhR5gJ9PC/Oaz64ZuJ2XBB2isxe+S5DBvvh1R9EY4ESiNGFdSjatWQBLqwQj3vyAB8VEurrLtk1yNnImmVGn9YiJ4/LKRMlQqtt76BRmfANOUc1FccE6+Tu8mq4mqalmbXp9m8F/wB8Etrdr6iejLuGn9D0WQGtMhsYAI9nE/3r/h5mnhJgb6aBWjsdljqVZHOuJO1i10T6MU0R5EiaKHoY58+P/xieaNnLibQf8WE3/Jbckz6OBCZ5dIcqqk1B7uexvvpv5/W3keUvtgHsb/+K2r2R1+Uzp8/TB+8L48+9+X3PwLLr37BBY+uP4z1f0iAvprOOGiQrgOvbHrkSRxyb/Mrfp6+dZK/R4Q/ffD3CP4eYa//n8K7yqz9fuIDyGGT5DiFP4/x+ylsNr/i/0+he8LvJ8d/Pzkjgf7w4cOf/g8jnBQS7P7+/kiYMGGYbYXKwZ06dcKSJUvC1erYsSMWLlwoVjQOq6GwwLRGjRq4fft2mDrx48fHqlWrIFSi5mFfAkyg28jT2gS6UHLb09MTN2/ehLe3N/78888fIrAkge6sFegs4Q5TuXeWcA/7g8IST2FzYanI6FUq8tsos4R7+F+YLEEYNpuoKhXZa90V7L3xSgyqrmdK+NXLaXoa9tsWI3VnH8WlJ+/FNkOrZUHrolJyNCpLcYVFk6VXw77GrB2nFx81KDf1qElso/tIFJKHPMEsHJqKY6Av1MnM0ffznnFSJsi+vBbbdNR4Y5+hIPKnTYDVHQqyhHs406S14+QK9xFlpx7F1OARZqs8UWkUtEV72LWEu/LKGrjt7CuSu2jIiL7xpmJnz2Jh0uR9efjfxa5wX95hxXn4P6uPODJpCxFD2+1Qpwx7m69vvbH2PkLnXwVxX18SYYwwdMKgwaPD3A/QFT5PoUfNFcbpWzy/2udp1oF7uHV0E/zdp4T7QfhLVxHjdC3xFR7oWTYDepTLYGrL+wj73Efw88T/c/l54haNwjUQVf/nhjf5W3sfwa00wybJLU/Dv8/mfYTr3Uc4uoT7oUOHIPwJ5dGFRazCyvMPHz4gbty4pgWtJUqUQNu2bU2r0y05du7caUqSC5WTBa2kSZOaqgx36dLFVArekuPz58+mPdI3bNgAIaEubGMsxCIk1vv06YP06dNbIsM2VhJgAt1KYN83tzaB/m3PAuHiFkqwCx+67w9LEujO2gM9IjzCh75IkSKmZo4olxGRf54nARIgARIgARKQCOgNRuQfHYgPwTrxzSmNPdGwoHn1mb7rLuLvC0/FNm2Kp8foutL2JmQaPQkcv/MaLfxPmTp3UtUDKWWhtoFptgbIXuPnHV9cBXgcYi8co7WtsURfHQliKXFxeOUwk1fRk2T07pVQpSKrzy7sVvRDJrm0yhcNFwN5Gtm38zd2Amubi5pPjElRDXNxdVRV+/qhmlMINJm2E+vfS+NpctrnMpDIvj/mfFneGLHvS+Unp2oboaPPfNNcxCP6Eqg35xiq/TsXXd22/7STdw2p0F3bB2mzF4Z/258/vBF9abFnJEACJEACJEACJBB9CTAnFX3H1tV6xgS6jSNibQJdeCpOeDqkffv2EEoBhXX06tVLfBJl1qxZpibJkydHhQoVxOaNGjXCpk2bTK+FPbDDKxMhnBdWvF++fBnJkiXDy5cvbeyxuTknK7vipBgJkAAJkAAJ2ETg0uN3qDtHKsstiJ0cUhEpE4Ta4BzAzH23MXWPtPq4dJakWNmxqE2+aez6BFadeohhf1+FO7S45dHWPOCux4CUETxE8XdX4NIa0W65rjJG6NqbXp/1qYSkcVWuD4ERRkjgQ7DWtM3DdVV7xJJJ+0yj/W4gvWVP2Efo5FuDJ2cB/4pi82CjEtnVyxA0qhriqNwslmFD1yDQZpw/Vmi9xWCMkEHm+wpQ2DexrfunF9wurhD9rNBVRrFeS5E1xc9LxbsGJUYRGQLvvmhQYMwebFCOQEF5qNKVsZMCoSqjfNN+ZkyMpqoFODI07N9cIhMDbUiABEiABEiABEiABFyDAHNSrjEOMSEKJtBtHGVrE+jW7CkeOrSyZcvi4MGD4lvfVrILbwilJIQV6WEdOp3OlFwXSjyUKVPGVHrCngcnK3vSpBYJkAAJkAAJ2EZgzoE7mBxwUxTJlCwO9nmX+0F066Vn6L3mgvh+mkSxcHSQ9KCebVHQ2lUJjN95HQsP30MG2b84oJKSXKZ4Bz8GPOL/PPSDE4GD48U2h/R50VY72PR6XediKJoxiat2nXFZQeDB68+o9+c2XPToYm71xxUgYTorlCxo+t8DYIanWcPcwf7Y1r8GMiSNY4EAm7gKAaFyQbfhYzFfIW1RpomdEu4Dpe8ku8W6fxxweJIot0tfGHFar0GZrMns5oJCrkVg++Vn8F59CldUHeEu00vBtdoEvHsMBAwFtF/Mgq6hHo9VPp2QKI67a3WG0ZAACZAACZAACZAACdhEgDkpm/DR2AoCTKBbASusplGVQA8MDETVqiGlDf38/DBo0KAwe3Ly5ElxL4YhQ4Zg/HjpR08bu24y52RlD4rUIAESIAESIAH7EGjpfxLH7rwRxcIrzX716XvUmhWyF7ZwyGTA9dHV4KFU2CcQqrgkgc4rziLw2guUll/GSnc/KcZYiYBBDyKO+fIGYLOX2O6BIQXKaaaZXo+vnwctito5uRpxRGzhAALnH/0Hn3mrsVM1NJS6DHDASmJoPgPjU5v1oqx6KiZ2qodifCDDAaPrOMnPah0mju6H0crlohNh73NV1332d3p6EbCzv6h71pAV9+psRpNCae3vi4ouQWDgxkt4cG4P1qvGSPHI5MCghyEPf72+A+OSKpB9ke6B+mi6o3F7b5TKktQl+sAgSIAESIAESIAESIAE7EOAOSn7cKRKxASYQI+Y0U9bWJtAt8SdJXugC2XghbLu79+/R44cORAUFBTmvpNdu3bFggULTG4dsUc5JytLRpRtSIAESIAESMDxBIK1euQdFQiNziA6W9C6IKpmFlZxygBVXPH9T2odco8IMAtqT98yyMLyt44fqCj0UGXaIdx68QktFPswXrlYiiSVJ9DlcMSRPTkH+EuVCnRGuanctg5u6FgqA3xr5YxYgy1cnsDeay/w11+LsMx9shRr3JRAfwesJBY8jEsNaD+LvhqqR6Bts2ao42meWHd5cDE8wMdvv2Db1C7o7rZVJKHNXhfKZlKpdbshurYFWN9GlBMe5tladgd6V8xiNxcUch0CQnWD4hP2o8HntRioXC8FljIv0PWI9HpVY+B2oPh6tq4ulJVHoEvZTK7TGUZCAiRAAiRAAiRAAiRgMwHmpGxGSAELCTCBbiGo8JpFVQJdiCd0GfdJkyZhwIABZmEKpd2Fsu1CGffvS8Db2G3RnJOVvUhShwRIgARIgARsI3Dszmu09D8lishlwNVGnxA7oB+g+QSU9wHKSvcKhcftxauParG9KdmeK6VtQdDaZQkYDEbkGL4bap0BA93WmiW5kKMO0HRlxLF/eQtMymDWrox6Gh4ZU6BctmRY1r5IxBps4fIE1p95jJN/z8ZU9/lSrCnyAN2kqhV27YRQwl0o5f7/o4umLwpXbwOv0hnt6oZijiVw6fE7BC1ojxZu+0VHxsKdIKsplXS3WwQPTwBLq4lyn40qjMu3z1QJg0f0I3DrxUdUmXYYS5UTUV5xSepgkS5ADamUPwJ9gOOzxPOB+oLYlnMKZjXPH/2gsEckQAIkQAIkQAIkEIMJMCcVgwffyV1nAt1K4EePHsWdO3dEq9evX4uJ65IlS8LLSyprKTRq166dlR4AS1agC6IfP35EoUKFcOvWLZOPzp07o1mzZogVKxYOHDhgKtf+6dMn0+vjx48jX758VscSkQEnq4gI8TwJkAAJkAAJOIfApN03MPfgXdFZ/jTx8PeX9sCX11IATVYAOeuaXjdZcAKn778Vzw2pnp2rtJwzVFHi5dm7ryjhF5LYmqmchTqKE1IcxXsCVcdZFpdfeiD4ndi2jWYQDhs8kTZxLBwZKK1Ot0yMrVyRwLyDd/F6z1T4Kv+SwstQBmi7zTHh+lcCnpwRtYdpOyB2iU4YVpMVDRwD3DGqB26+xNe/WqKG4rTkoMxAoMIw+zt8cxeYVcBMt3u6bZjboYz9fVExygn4H7mH8TuCcFHVGfFlofY5b7QUyN1Aiu/CKmBLd/H1fUMKdEywEPu9y0V5HxgACZAACZAACZAACZCA/QgwJ2U/llT6OQEm0K28QoSE+PLl0r5uEZkL5casPSxNoAu6QjK/Ro0auH37dphu4sePj1WrVqFWrVrWhmFRe05WFmFiIxIgARIgARJwOIG6s4/i0pP3op9RhbVoe6WtuV9hr+tuJ4D4qTBo42WsO/tYPN+scFr4Nczr8DjpIGoIHL/7Gi0WhVQo+Nt9OPLLpQdCUX0yULSzZYEtLA88Oy+29dW2w0p9FchkwPXR1eChVFimw1YuS2DcjmuId2Iierv9I8UoPHgjPIDjiGNNC+DmDlF5qrYRHubpiRnNuGrUEbgdpbnp3BOk+qcxSiiuSS6qTgCKSwlNu/lWfwQmpDGT65hgERb3bWI3FxRyHQKtF5/CqzvnsVs12DyofteB+KG2enh6DlgkPcilN8qQS7MU50bWRhyVm+t0iJGQAAmQAAmQAAmQAAnYRIA5KZvw0dgKAkygWwFLaOpqCXQhps+fP2POnDnYsGGDKaEu7I+eNm1aU2K9T58+SJ8+vZW9tLw5JyvLWbElCZAACZAACTiKwPuvWuQfHQhDqOf29pe6joxnx/zoMlMFoOUmzD9yH367bojni2ZIjHVdijsqROpGMYE1px9hyOYrpijOqLohmUx62AIt1gNZq1oW4cYOwNVNYtvFuuoYo2tter2rT2nkSBXfMh22clkC3usvId/l0WjttleKsWB7oPZ0x8S8tTdwXnpAeYWuMnam88bazpyPHAPcMarCKuESe+ohp/yh5KD+AsCzmf0dGo3Qj00Fhf6rqN1BPhZLhveyvy8qRimBYK0enqMC0dgYgLHKpVIsCdMDf1w2j039CZjwm9l7NdTjMaZrcxRMnzhK+0HnJEACJEACJEACJEAC9iPAnJT9WFLp5wSYQOcVYhMBTlY24aMxCZAACZAACdiFQEDQc3RZeU7UUrnJcS3PWiiuh1pBGtpT9UkIiFvXzCZ5PBVOD6tkl3go4noEJuy8jgWH70EFDW56fLfFUPeTQPIclgW9fyxweLLYdq8+P7y0A0yvZ7fIj1p5Q60GtEyRrVyMQPulp9Hwni9qKU5KkZX2BioOd0yk311TO/RFMCXBMOzvz7LLjgHuGNWJu2+g1Yka+E32RnJgzcM5VoalmZoH7h8eiVZdNH9g5ujhULmxCoaVKF26+aFbr9B2yWnMUM5GXcVxKda8zYAGC36MfVoe4L10XfTRdEeBWl3QtsTvLt1PBkcCJEACJEACJEACJGA5AeakLGfFlrYRYALdNn4x3pqTVYy/BAiABEiABEjABQgM33IVK05Iq/5KZkqMVR/aAx//DTs6Nw88aLgT5ZY/Nzt/dVRVxGWZUxcYUfuH0GXlWQQEvUAm2VPsU4UkvMVjyFNAFdcypxdXA/90E9veNvyGypqQhHrfSlnRp1IWy3TYymUJCNtBDHgxEKUUQVKMVcYBJXo6JuZTC4BdA0XtU4bs6CgbDWE+4vHrEBi86TJ8L1dCHJlaCrrjHiBtEYd0QrewEtyenRG1fbTt0cV7PNImju0QfxSNGgJjtl/D4qP3cUzVy/zhjFrTgULtfwxqVWPgdqD4/mxdXTzK541JjTyjpgP0SgIkQAIkQAIkQAIkYHcCzEnZHSkFwyHABDovDZsIcLKyCR+NSYAESIAESMAuBCpPPYTbLz+JWmPKxkPrU7V/qm1IkQfZHw2AxijtC7q9Vynk/i2BXWKiiGsRqDrtMG6++Ihy8otY5j5JCi52UmDgXcuDfXQSWCIlNtVGN+RQL4MBctTxTI2ZzblvteUwXbNlqYn7seDzH8gVuhR3vXlAvhaOCfjqZmCjlAi7a0iFipopCBpVlfsWO4a4Q1S7Lz+Ouferm2v3PAskdcxDNca1LSG7sV30N0PXACW9pqDQ7yzV7ZABjiJR4f7m88sHOO7R2zyC7qeA5Nl/jCrQBzg+S3w/UF8QM5KNwo7epaOoB3RLAiRAAiRAAiRAAiRgbwLMSdmbKPXCI8AEOq8NmwhwsrIJH41JgARIgARIwGYCBoMR2Xx3QauXNkDfX/k5Mh7pJ2nHTgLkaQycmm/mb6VbA/h+aiS+N6t5ftT2ZAlumwfFxQSEayTniN0I1hrQSrHHfB/Z1AWAzgcsj/jTS+BP84RYieCZeIakyJU6PpMUlpN02ZY5h+9GoKwH0sheSzE2Xwtk+y45aq8e3D8CLK8lqr03xoan2h8H+pdDhqRx7OWFOg4m4DV7O/xftzT3MuAeECeJYzxv7wucXSJqr9ZVQPwmc7iNhGNoR4nqs3dfUcJvP+rIj2Gm+xwphliJAOHakst/jOvCKmBLd/H9e4aUqKqfhqBR1eDuFkb7KOkZnZIACZAACZAACZAACdhCgDkpW+jR1hoCTKBbQ4ttfyDAyYoXBQmQAAmQAAlELYGXH4JRZPw+syCuFQlA7MvLpfey1QQaLQYWlgdeXRffN0CGpmpfnDGGrOLyrpwVvSo6ZrVg1FKK2d6fvw9GsQkh18hgt9Xo6iat2kSu+kDjZZYDMhqBCWkAjVTxoLlmGE4YciGWUmFaNSyXyyzXY0uXIhCs1SO7724Eqdqbl+LuEAikK+qYWF/dBOaYl/nOErwCKzuXQrGMDkq+OqYnMVq1w6QVWPKllzkD3zeAQqpyYldAB/2AgxNESWGl8aMq/vAqndGubigWdQTWnXmEQZuuYIzbErR22ysFkrU60GJt2IE9OQf4VxDP6Y0y5FQvxebeFZArNSvsRN1o0jMJkAAJkAAJkAAJ2I8Ac1L2Y0mlnxNgAp1XiE0EOFnZhI/GJEACJEACJGAzgYuP36HenGOijlIhw63fxkD28pqkXXkMULI38PxKSBLdoBXPXTekRXWNHwAZGuT/DVOb5rM5Jgq4FoETd9+g+aKTpqBmK2egluKUFGDJPkDl0dYFPK8U8OKKaDNE2xFr9BVNr48NroDfEsayTo+tXYaAsOKznF8Abnm0NY/JgaW48eUtMCmDmb9iwbMwpFlF1M33m8uwYSA/J9B+1AwsNQ4XG+mU8eA27InjsAmrz4VV6P8/LhgyY0eRlfCpldNxPqnsVAI9Vp/Hjsv/Ypf7IOSQP5Z8VxoFlPoj7FjUn4AJ5vNGDfV4tGtQB00Kp3Vq/HRGAiRAAiRAAiRAAiTgGALMSTmGK1V/JMAEOq8KmwhwsrIJH41JgARIgARIwGYCO6/8i+6rzos6ORLpsetrGwBSSXd03AOk/f8Kz2MzgD1SkkMwLBo8Gy+QGPnTJcTf3UvaHBMFXIvA2tOPMHhzSMJ7i7sPPOX3pABrTgEKe1kX8LrWwPWtos18XS346UL2x17RoQjKZE1mnR5buwyBq0/fo8OsbTjt0cM8JkeW4jYYgLHJAINO9FlTPQ71a9TgamKXuTJ+HohOb0D34aOxUDlNbKiJlw7u3tKDNnbvyvXtwDqpZPwTY1L4ZduA2S0K2N0VBaOGQOlJ+/H+7StcVHWBXBbqniaiihjT8gDvH4lB99b0QKKiLTCqbu6o6Qi9kgAJkAAJkAAJkAAJ2JUAc1J2xUmxnxBgAp2Xh00EOFnZhI/GJEACJEACJGAzAf8j9zB2h1SWvUuqOxjyX6gEuZsHMPgR4KYK8WXQA+N/A3RfRd+N1cNNZdwTxlbi4vAqNsdEAdciMGHXdSw4FJI0P6fqgiSyj1KALTcBWSpZF/CeEcCx6aLNLn1hdNOGrAQdUTsn2pc0X01snThbRyWBQ7deYfzSjQhQDTYPY/hbQK5wXGh/ZgM+PRf122kGIkvJ+hhWk6uJHQfdfsqvP6kxcYIPJisXiqLaFJ5QdjtsPyffKz0+AyyW5q5goxKtU27Bhm58CMxx0J2nLDyUIWwnUQrnscx9suRYoQKGPJbuacIK6a9GwJ094pnZuro4+FtXbOxWwnkdoCcSIAESIAESIAESIAGHEWBOymFoKfwdASbQeUnYRICTlU34aEwCJEACJEACNhMYtS0IS489EHUW/bYTld/8JemmKwF02GXuZ05R4NUN8b1+mq7YbChjen3BtzISxXG3OS4KuA6BrivPYXfQc8RGMK55dDAPrMcZIFlW64I9txzY1lu0uW5I9/9tAIBWxdJhbL081umxtcsQ+OfCU6zdsBpr3cdKMXkkCHkIx5HH/FIhW0z8//DWdIU2TzPMbJ7fkV6pbScCt198xPqZAzFMuVpUNGSsAHmbv+3kIQyZ/x4AMzzNTlT1+AsBg2s7zieVnUbg6buvKOm3HwPc1qKHm1TxBGHd03wfVaAPcHyW+G6gviD+kA3E1ZFVIZfLnNYHOiIBEiABEiABEiABEnAMAeakHMOVqj8SYAKdV4VNBDhZ2YSPxiRAAiRAAiRgM4FvydFvQkeSTUbajxck3VL9gEojzP2sbgrc2i2+N13XANN1jUyvN3cvgQLpEtkcFwVch0C16Ydx4/lHZJU9RqBqkHlgw54DSiv3LL9/BFheS9T5YlQhp3oJABlKZk6CVV7FXKfzjMQqAouP3sfpncuwwF2qMIBEGYA+F63SsbrxyvrA3f2i2QRtc1xK3xZrOxe3WooGzidw6t4bnF3yh3miM3dDoJEwLzjo0HwBxqcyE6+inYqAsR0gkzFJ6iDqTpM9ff8tmiw4gXXuo1FULj3wh9LeQEXzbWh+COrCKmBLd/Hte4aUqKCZin3eZf60ks0AACAASURBVJEpWVyn9YGOSIAESIAESIAESIAEHEOAOSnHcKXqjwSYQOdVYRMBTlY24aMxCZAACZAACdhMoM7so7j85L1JRwkdrsfuBDeDWtJtsR7IWtXcz86BwOkF4nub9KXgrQ35sXlKY080LJjG5rgo4BoEjEYjcg4PwFetHhXk57HE/U8psLgpgP63rA/0/VNgmnlp7cLBc/AKiZApWRzs8y5nvSYtXILA5IAbeHN4EfyU/lI8vxUEOknJbYcEurkLcHmtKL1QVxNrE3bG/v68lhzC286iu678i//WdUcLt1DXSWEvoOYUO3sylzOM/w1yzSfxzSZqX8wb1gtJ4v5/yxKHeqe4IwlsPv8Eg9efxRWVF1QyreSq5UYgS+Wfu35yDvCvILbRG2XIqV6Kyc2Loo5nakeGTW0SIAESIAESIAESIAEnEGBOygmQ6cJEgAl0Xgg2EeBkZRM+GpMACZAACZCAzQQKjd2D1580Jp38stv4W/XdavNBD4BY360oPzEXCBgi+j5jyIrGmpGm170qZIZ3lWw2x0UB1yDw9rMGBcaE7AXbRhGA0crlUmBpCgNee60P1GAAxqUE9NKDGo3Vw3HGmB3xVG64Muq7Bzas90CLKCIwZPNlJDw3B4OUUjIbmSsDrTY6NqKAYcCJ2aKPzfpS8JX1QtDoao71S3W7EFh16iESbvdCTcVpSa/MAKCCj130wxMxziwA2du74unumt7o0bM/cqVO4FC/FHc8gZn7buPg3u3YrAq5Nwk5ZIDpnibhzwNQfwQmmD8IWF09AWXKlMeQ6jkcHzw9kAAJkAAJkAAJkAAJOJQAc1IOxUvx0P+BGIVlKTxIIJIEOFlFEhzNSIAESIAESMAOBIK1emT3lUqxeyl2wEe5SlJOlgPocfJHTzd2Amubi++/MCZEUfVc0+uaeVNhTosCdoiOEq5AQNibuPK0w6ZQhrn9hU5uO6WwbCmxPKco8Eoqq9tf2wUb9WVN2kGjqiKOys0Vus8YrCTQecVZFLw1FV3cdkiWeZsCDRZaqWRl82MzgD1SWebD+jxoox2Cq6OqIi6vJSthOr/5rH23UeBgW5RUBEnOq04AiktltB0S1ZLqwKPjovQIbVuUaTUMFXOkcIg7ijqPwKCNl5HwwlwMUa6RnKbIDXQ7ZlkQ03ID7x+LbXtreuC/THWxsmNRy+zZigRIgARIgARIgARIwGUJMCflskMT7QLjCvRoN6TO7RAnK+fypjcSIAESIAESCE3gwevPKPfnQfGtBcqpqKo4KzUp2B6oHWov429nXlwD5pnvLZw9eCmCoULOVPGxs09pgo4mBE7cfYPmi0IeopinnIbqijNSz0r1Ayp9V7HA0n6vaQ7clJLxs3T1MEXXxGR9oH85ZEgax1IltnMhAo3nH0fjJ35o4nZIiqpoN6C6n2OjvLga+Keb6OOaIT1qaCZgv3dZZOSexY5lbwf1UduC0OhMc+SSP5TU6s0H8kkPatnBzY8S69sA17aI78/W1UWi2mPQsmh6h7ijqPMItPQ/iXYPh6Cy4rzk1JptAf5qBNwJqb4iHMK1sUTVGud8KkEmkzmvI/REAiRAAiRAAiRAAiRgdwLMSdkdKQXDIcAEOi8NmwhwsrIJH41JgARIgARIwCYCx++8Rgv/U//XMOKcRzckwQdJs/4CwLPZjz40n4Hx5vuAVlJPwh1jGsR2V5hWEPMHZpuGxmWMt19+hp6rL5ji2e4+FLnlD6TYak0HCrWPXKzfldzepi+GXtreJq21nYuhWMYkkdOlVZQSqDDlIAa/G40qinNSHOWGAuUGOTau23uBVQ1FH9+qYqzpVAzFM/Facix829X/WHsB/a83QhrZa0ms+Togm4NL8O8cAJyWqiOs1ZXDszKT0I/bkNg+qFGsUG7yAfz1ycv8mmqwCMgb8qBWhEegD3B8ltgsQF8IXbT9cHxwBaROGCtCczYgARIgARIgARIgARJwXQLMSbnu2ES3yJhAj24j6uT+cLJyMnC6IwESIAESIIFQBDacfYwBGy+b3skg+xcHVN7mfPpcAhL9HjazyVmAzy/Fc+01A3DAkN/0+tTQikgR34OsowGBZcfuY+S2a6aeXFR1QkLZZ6lXrf8GMlWIXC/P+AM7pOvtsiED6mjGmbRmNs+POp7mD2hEzgmtnE0g3+hALNT5oIj8puS6xp9AkU6ODeXZRWBhyBYAwqEzypFFvQLTmxVA3Xy/OdY31W0m0HrxKcx/VBtxZGpJq0MgkM7B5bIPTQYOjBV97tPnR4DnDExq5GlznygQdQQMBiNy+O7EVbfWUMr0UiBe+4E0BS0L7MJfwJYeYtt7hpSooJmKRW0KoXJOlvi3DCJbkQAJkAAJkAAJkIBrEmBOyjXHJTpGxQR6dBxVJ/aJk5UTYdMVCZAACZAACXxHYMbe25i295bp3caKg5isDLVPcdyUgPcNILxSpf6VgCdSOW9h79jl+qomLa4gjj6X2pTAm5i1/w7i4QuueHiZd6zXeSBJpsh19u5+YGV90faDMTbyqhcBkMGnZg54lc4YOV1aRRkBnd6AzMN2YY/7AGSRP5XiaLgYyNPIsXG9fwpMy2nmI1/wAvSqVRQdS2VwrG+q20yg3sz9+OetNB+YBHueBZJmsVn7pwLnlgPbQipfCMclQ0b8mX4+97l2LHWHq7/4EIxa4zfhjEd3c1/9bgDxU1nm/8k5wF96QExvlCGneim6VcqFPypltUyDrUiABEiABEiABEiABFySAHNSLjks0TIoJtCj5bA6r1OcrJzHmp5IgARIgARI4HsCgzddxtozj01vT3RbiKZu0n7oyFkPaLI8fGibvIArG8Tzi3XVMUbX2vR6QoM8aF4kHYFHAwJDNl/BmtOPkEP2ELtUQ0L1SAb4vADcVJHr5dv7wMx8ZrZCwvMd4qFT6QwYVtM8GRo5J7RyJoFXH9UoPG4vzqi6Ipks1FYQtlQqsLQDOg0wNplZa2FbiRrly7Ect6UMo7BdrfEbsV3T0TyCAXeBOEkdG9XNXcAaaZuSZ8bEaJdwGQL7StUMHBsA1R1B4NzDtxg5fxW2qXxEeaNMAZnvK0CusMyl+iMwIY1Z2+rqCUiTo4hpFToPEiABEiABEiABEiCBX5cAc1K/7tj9apEzgf6rjZiLxcvJysUGhOGQAAmQAAnEKAJC2dwjt0P2nN3n7o1M8n+l/lfzA4p1C5/H/rHA4cni+T36guikDSnJ3aVMRgypkSNGsYyune284iwCr71AZflZLHKfKnUzXmrA+3rku63XAeNSAAadqFFPPRoXjZlN5duFMu48fi0Ct158RJVph3Bb1ca8bHLnQ0Bq84clHNIzv3RA8HtRupnGB1mKVMeYerkd4o6i9iNQ03cRdij6mwv6vgEUbvZzEpbS03PAImmVscaoQCHZalwe6eC91x3bqxivvuXiU2xf72/+nRU/DdAvyDo203ID70MeMhSO3poeOBuvIo4PqWidDluTAAmQAAmQAAmQAAm4FAHmpFxqOKJ1MEygR+vhdXznOFk5njE9kAAJkAAJkEB4BCpOOYi7rz4jMT7gvEdX82adDwKpf5LE/G5/0BuGtKimmWjSEPYH5Qqt6HHdNZx3HOce/of2il0YoVwpdSptMaBjgG2dnFkAeHtX1Oij6Y4thlIomiEx1nUpbps2rZ1O4MTdN+i0aD+ufl/qv89lIFF6x8czqxDw5rbop6emF2R5GmIWH8ZwPHsbPHzV6NFmxHRsUI0WVQzu8SAf+sQGVQtN3z8BpuUya+wZvBAnRzdCLHcLVypb6IrNnEdgzoE7eL53FsYol0lO0xQBvPZYF8RfjYA7ks0sXT1M0TVB0KiqiKNy8MMd1kXK1iRAAiRAAiRAAiRAAlYQYE7KClhsahMBJtBtwkdjTla8BkiABEiABEggaggYjUbkHB6Ar1r9j6uLlXGAwY9+vvrvwVFgWU0x+C9GFXKql5j2sM6cPC729mMJ3KgZWft6LTf5AB68+YLhbivQwW23JJ6nCdBQ2LPchuO75MQ0bUPM0DdEhqRxcKB/ORuEaRoVBHZc/hcT1uzGUdUf5u6HPAFU8Rwf0pLqwKPjop8R2ra4l7El97N2PHmbPDz57wtGTZ5stlrYkCAd5H2v2KRrkbFODYxNbtZUKP2/yLuVaR7i8WsSELYeSXt+Erq7bZU6ENG2NGF1NdAHOD5LPBOgL4Qu2n7Y510WmZLF/TXhMGoSIAESIAESIAESIAEwJ8WLwFkEmEB3Fulo6oeTVTQdWHaLBEiABEjA5Qm8+6JBvtEhK6uGuK1CF7cdUswZygJtQ/3wHFZvwli5VzB4Ht4gAdwVclwfUw0KuczlOTDAnxPIPSIAn9Q6LFROQRXFOalxmQFABWl/2Uhx3DkQOL1ANN2sL4V+2u6I7a4wrfCTyXj9RIprFBmtPPEA67duM9t3GHIlIOw77IyxXN8GuLZF7L2wWjQwRSds61UqiojQrSUErjx5jxXzxmKycqHY3JgqH2RdDllibnsbv/RA8DtRp7lmGLw7e6HQ74lt16ZClBBos+Q06t0fhQaKo5L/Yj2AauOti+e7Sjv3DClRQTMVq72KokTmpNZpsTUJkAAJkAAJkAAJkIDLEGBOymWGItoHwgR6tB9ix3aQk5Vj+VKdBEiABEiABMIjEPTsPWrODPlxeZP7CBSUS6WPUXYQUH7oz+EZ9MBYYQ9rrdiuvnoULhizmF4fGVgeaRPH5gD8wgSCtXpk9w1Zdb7TfQhyyh9KvakzCyjQxrbenZwP7B4kapwzZEFDzSjT6ysjqyCeh9I2fVo7lcCMvbdxbv8GrHAP2crBdMRNAfS/5Zw4dngDZ/xFX6t15TEvfm8cGSjtce2cQOjFGgIHb77E0RUj4aNcJZllLA+0+ccamci3nV0YeC1do701PVG7VW/TViQ8fk0CFaYcxLh3Q1BccU3qQJVxQIme1nXoyTnAX5o/9EYZcqqXYkKTwmhQII11WmxNAiRAAiRAAiRAAiTgMgSYk3KZoYj2gTCBHu2H2LEd5GTlWL5UJwESIAESIIHwCOy59gKdVpw1nb6s6oj4sq9S05abgCyVIob33R7WvTU9sNVQ0mS3okMRlMmaLGINtnBZAk/ffUVJv/0AjLis8jK/RtpsBTLaWKb/VgCwuonY/9fG+Ciknm96LWwBIGwFwOPXITBiy1X8d2o1ZrrPkYJOlgPocdI5nTg4ETgorTDdoy+IfvJBuDKqqnP800ukCPx94QmebRqCHqHLbedqADReGik9q42W1QIeHBHNRmtbI3u9QWhSOK3VUjSIegLC9jTCg1+75X2QQf5CCqjRUiB3A+sCVH8EJpgnyqurJ6BO1aroVi6TdVpsTQIkQAIkQAIkQAIk4DIEmJNymaGI9oEwgR7th9ixHeRk5Vi+VCcBEiABEiCB8AgsP/4AI7YGIQ6+Isijo3mzXueBJBb8OLyyAXB3n2j7p7YxZuvrm16PqpMLbUv8zgH4hQlcfvIOdWYfQ3x8wmWPzuY96X0RSJzBtt69vg3MLmSmkSfYHx8RmyVybSMbJdY9V59HkqBlGKVcLvlPVwLosMs58ZxZDOzoJ/o6b8iMBprRuD2uOpQKuXNioBerCfgfuYdYAf3R0k36LkGhjkCtqVZrRcpgYwfg6ibRdJ6uNmSVR6FrWQu+AyPlkEaOJPDqoxqFx+3BDVU7eMikCjnoEAikK2q962m5gfePRTvhQcHExVpiZJ1c1mvRggRIgARIgARIgARIwCUIMCflEsMQI4JgAj1GDLPjOsnJynFsqUwCJEACJEACPyMwYdd1LDh0D5lkT7FPNcC86bDngDJWxAC39wPOLhbbrdeVxUBdF9PrdiV+5w/MERN06RYHbrxE+2VnkEt2HztUw6RYZXLA5yWgsLHEuk4NjEsJGA2idk31OAQZM2BaU0/Uz88SuS59gXwXXItFJ1H4wUL0VUrJSGSvBTQLVZrbkR26vg1Y10r08MiQDGU0M3DOpxKSxFU50jO1bSAwOeAGchztjVqKU5JKmQFABR8bVK0w3TUYODVPNNioL4PbxSdhSI0cVoiwqasQuPDoP7SfG4CLHiH3IuLxx1UgYSSqCvzVCLizR5SZpauHoGy9Mb91QVfpMuMgARIgARIgARIgARKwkgBzUlYCY/NIE2ACPdLoaCgQ4GTF64AESIAESIAEooZArzUXsO3SM5SQX8Vqd6nsMTwSAoND7XX9s/COzQT2+IotThpyoJkm5HXZrMmwvEORqOkcvdqFwIazjzFg42VUlZ/GAvfpkmaCtEDfq3bxgel5gHePRK0emt7YYSiGwdWzcwWofQg7TaXa9MNo+no22rsFSD7ztwbqznZODI9OAkukcu2fjSrkUi/ldgDOoR9pL0M2X0HNC11QShEkaVQdDxTvEWlNqwyPTAX2jRJNDuo9sdNzFiY18rRKho1dg8D2y88wZ80/2KUaEiogGeD7KnIPfQUMA05Ic1iAvhDmpRyNf3qEbFfDgwRIgARIgARIgARI4NcjwJzUrzdmv2rETKD/qiPnInFzsnKRgWAYJEACJEACMY5Aw3nHce7hf2goP4wp7iH7TpuO5DmB7ics43FtK7C+tdj2qTEJSqpnmV6nSxwbhweWt0yHrVySwPxDd+G36wY6KnbAVxlqFXH6kkD7nfaJeUVd4N5BUWuStinm6uuifcnfMaI2S+TaB7JzVIqM24uhwVNQT3FccliyD1B5tHMCeHMXmFXAzFeO4CX4q1t5FEyf2Dkx0IvVBLqsPItetzsit/yBZFtvHpCvhdVakTK48BewRUrWBxnSY1qmJfBva769RKS0aeR0AsL31qmANVjqPlnyHTcF0P9W5GL57vq4Z0iJVrHm4viQipHToxUJkAAJkAAJkAAJkECUE2BOKsqHIMYEwAR6jBlqx3SUk5VjuFKVBEiABEiABCIiUHzCPvz7PhjdFf9goHK91DxzJaBVqBLMPxP69xKwoIzYwmCUIZt6ObRwg0Iuw+2x1SGXyyIKheddlMDY7dfgf/Q+RrotQzu3QClKz+ZA/VAPXdgS//a+wNklosI6XTkM0nVGzTypMKeleTLUFje0dSwBo9GIrD674C+fgLKKy5KzSqOAUn841vk39eAPgJ95ieZS6ukY2boGKuVM4ZwY6MVqAk3mn8DUf1shjey1ZNt8LZCtutVakTK4vQdY1Ug0fWFMiO4p12BTtxKRkqNR1BLw/ecqdGeWYIJS2l4GqfMDnaUHtayK8Mk5wL+CaKI3ypBbuwJBY2vz/sYqkGxMAiRAAiRAAiRAAq5DgDkp1xmL6B4JE+jRfYQd3D9OVg4GTHkSIAESIAESCIOATm8wJbsMRmC021K0cZP294Q1JZeD3wN+6cw8lFNPwQNjKtN7530rI3Ecd47BL0qg77qL+PvCU/grJ6OS4oLUi7KDgfKhy+Pa0MHvtgE4oc+J5lofFEqfCBuZwLIBrHNN33/VwnNUILa4+8BTfk9yXmcWUKCNc4IxGoFxKQFdsOivvnoUWjZqhEYF0zgnBnqxmkDFKQex5UNTxJVJ44YOgUC6olZrRcrg2UVgYVnRVGeUo2rcTdg3QEqaRkqXRlFCoP3S08h3dy76uP0t+c9eC2gWqoqKNZF9fgNMzmhmUTx4FrYMa4Lk8TysUWJbEiABEiABEiABEiABFyHAnJSLDEQMCIMJ9BgwyI7sIicrR9KlNgmQAAmQAAmETeDpu68o6bffdHKhcgqqKM5JDcsOAsoPtRzdxN+Br/+J7dtoBuGwIWTv2MC+ZZA1RTzLtdjSpQi0XnwKR26/xm73QcgufyzFVncukL+lfWK9shHY1FHUumNIjUqaP5E2cSwcGcgEln0gO17l/uvPKP/nQRxy/wPp5S8lh03/AnLUdnwA3zxMyw28l65VL403ilVvBa/S5gkw5wVETxERKDJ6J04bmps363EGSJY1IlP7nP/wLzA1u5lWBZk/9o9obB99qjiVQOWph9Dp7RQ0cTsk+S3SGagRqqS7NREZDDCOTQ6ZQSta1VGPwbgebZEnTQJrlNiWBEiABEiABEiABEjARQgwJ+UiAxEDwmACPQYMsiO7yMnKkXSpTQIkQAIkQAJhEzjz4C0azw/Z53yr+zDkld+XGtaaDhRqbzm6heWAZ9LqZB9te/ylr2yyX92pKEpkSmq5Flu6FIEaM47g2r/vEaTqgDgytRRbux3A76XsE+v9I8DyWqLWe2NseKr94e4mx80x1SCTcQsA+4B2rMq5h2/RcN4JXFZ5Ib7sS6hrZSfwe0nHOg+tvrA88Oy8+M5grReSlumM/lWzOS8GerKYgN5gRPFha3Ba1c3cpv8dIG4yi3VsaqjXAmPMv6eqafywY2xX01YkPH4dAsJWErlGBGC+cSzKKK5IgVcaCZTqG/mOTM0JfHgq2nfUeKN5qy7cGiLyRGlJAiRAAiRAAiRAAlFKgDmpKMUfo5wzgR6jhtv+neVkZX+mVCQBEiABEiCBiAhsufgUfdZeNDU7reqO5LJ3kkmLDUDWKhFJSOc3tAOCpFKpC3Q1MUEXsjp5ZvP8qOOZ2nIttnQpAkXH78XXD29w2aOzeVx9LgOJ0tsn1le3gDmFzbSyBS+DGu64OLwyEsbmFgD2Ae1YlT3XXqDrilO469Ha3FH3k0DyHI51Hlr9r4bAnb3iO37aZvhUuCfG1svjvBjoyWICbz9r0GTsUuxVDTS38X0NKJQW69ja0DAhHeTq96JMU7Uv5vn05hYktoJ1sr1wPRUYswd73Acgi1xKeKPBIiBvk8hH892DgsKDOblr90arYnb6Hox8ZLQkARIgARIgARIgARKIBAHmpCIBjSaRIsAEeqSw0egbAU5WvBZIgARIgARIwPkE5h28i4m7b8ANOtxStYVcZpSC6HoUSGlFsmnvSODoNNF+l74wumlDVnoNr5UTHUplcH4H6dFmAsJKvizDdiGt8RkOqLzN9YY9B5SxbPZhEvj6DphonoQoGTwDT5EMAX+UQbaU3ALAPqAdq7LuzCNM2nQU5zy+W0nsfQuIl8KxzkOrb/ICrmwQ35mnq42rOfthTosCzouBniwmcOflJwyetgAbVaNFG6N7XMiGhkp+WqwW+YbGGfkg+0+qxNJF0xcD/uiPzMnjRl6Ulk4ncOXJe9SefRRXVB0RT/ZV8m9r1ZTVTYFbu0W9KdpGQNmB8K7CyhZOH2Q6JAESIAESIAESIAE7EGBOyg4QKWERASbQLcLERuER4GTFa4MESIAESIAEnE/A95+rWHnyIVLhDU549DIPYMA9IE4Sy4M6uxTY/ofYPsiQHjU1E0yve5TPhAFVzfeWtVyYLaOSwLsvGuQbvQcFZTexSTVKCkUZBxj2zH6hGY3A2BSAXioRX089GheNmbGiQxGUyeqkMs7261GMVJp78A42BezHPtUA8/77vALcnFhFYEd/4MwiMYbVugrY+ftg/OVVNEaOi6t3+vT9t1i4aDb83adIoSZMB/wRqvy2MzrxXen/gdpOaNJpKAr9ntgZ3unDTgR2XfkXA1YdxVUPL3PF3heAxBkj72VrL+D8CtF+ha4yrnj6YnJjz8hr0pIESIAESIAESIAESCDKCDAnFWXoY5xjJtBj3JDbt8OcrOzLk2okQAIkQAIkYAmBjsvOYN+Nl8gvu42/VSMkE4UK8HkBWLPv9N0DwMp6osYHYyzkVfsDkKFpobSY2CivJSGxjYsREFaGVpp6CFXkZ7DQXaowAEckt6bnAd49Egl01vRFoKEw/mzsiUYF07gYGYYTFoGx26/hwrHd5g9buMcFnLySGPvHAocniyHu0BfB3GTDsaN3aQ6cCxLYffU59q6Zij+VC6ToUnkCXQ47N9qVDYC7+0Sf47XNUajFSFTJldK5cdCbTQT8j9zD2p17ftwSYNgLQOkRee3v5hWh0s6aDONND3nxIAESIAESIAESIAES+PUIMCf1643ZrxoxE+i/6si5SNycrFxkIBgGCZAACZBAjCJQbfph3Hj+EdXlpzDPfYbU90S/A30uWcfi7X1gZj4zG8/ghXiPuKiYPTkWtzPf39o6cbaOKgKn7r1B04Un0VRxABOV0opepC4AdD5g37D8KwFPzoiaw7QdsEpfCQOqZkOP8pnt64tqDiHQb/1FfLi41XwlcYJ0QF8nryQ+PhsIHCb28ag+FwbFGYtjgys4pN8UtY3AmtOPcGeLH3yVqyShjOWANltsE7bWemNH4OpG0Wqurg6S1B2HpoXTWavE9lFIYOTWINw9uRUr3f2kKGInAQbesy2q04uAnf1FjbOGrBiWaAoC+paxTZfWJEACJEACJEACJEACUUKAOakowR4jnTKBHiOH3X6d5mRlP5ZUIgESIAESIAFLCXiOCsT7r1q0V+zCCOVKySxdCaDDLktlQtrptSEluI160a62eiyuGDPCM21CbOlR0jo9tnYJAjuv/Ivuq86ju2ILBirXSTFlrgy0khJNdgl2bUvgxnZRarquAabrGqFt8fQYVTe3XVxQxLEE2i09jWR3NmCycqHkKCpWEl9YBWzpLsZwxfA7mssm4eqoqo4FQPVIEZhz4A6M+0ajp1uohHmu+kDjZZHSi7TRD6X/y+N9pSnoVi5TpCVp6HwCXsvPINGt9ebzUMo8QNejtgVzbQuwvo2o8dCQHHUUc3BpRBXbdGlNAiRAAiRAAiRAAiQQJQSYk4oS7DHSKRPoMXLY7ddpTlb2Y0klEiABEiABErCEwCe1DrlHBJiaDnZbja5uUuISuRsCjZZYImPeZnpe4N1D8b0emt7YYSiG3xLG4spP62m6hMXKEw/guyUIPm4r4eUW6qEKz+ZA/fn2jXF7X+CsdN2t0lXEMF1HVMuVEvNbF7SvL6o5hECd2UdR9N9VGKZcLelnLA+0+cch/sIVvbEDWNtCPP3IkAxlNDNwa2x1uLvJnRsLvUVIYMz2a8hw0geteIc6qAAAIABJREFU3KTy6SjUEag1NUJbuzbYPw44PEmU3KkvgkvFZ2JIjRx2dUMxxxIQqutUfrUc3spQD3llqQq0XG+b40cngSXSQzhfjCrkVC/BjTHV4aFU2KZNaxIgARIgARIgARIgAacTYE7K6chjrEMm0GPs0Nun45ys7MORKiRAAiRAAiRgKYHbLz6i8rSQ/WWnK2ejnuK4ZFq8J1B1nKVSUrvldYD7h8TXE7XNME9fBx5KOa6PrgaZNXuqW++dFg4gMG3PLczYdxtTlXPRQBFq9V5kr5GfxXjQDzg4QWwRqC+Izlpv5E+XEH93ZwUDBwyv3SVL+u1Hy09L0d1tq6Qd2QdybInuwTFgWQ1R4YMxNvKq/XFmWCUki6eyRZm2DiDQd91FVLw6CLUUJyX10v2Bir4O8PYTyZPzgN2DxQbH9Tnxd975mNzY07lx0JtNBPKMCMAQ/Xy0cNsv6RRsD9SebpMuwtiqJlfwYuwcUB3pk8SxTZvWJEACJEACJEACJEACTifAnJTTkcdYh0ygx9iht0/HOVnZhyNVSIAESIAESMBSAgdvvkS7pSH7Ta9zH42i8huSadUJQHGp/LGlmtjaGzi/XGy+WlceQ3WdTK+F0slxVW4WS7GhaxDw+ecK/jr5CMuUE1FOcUkKqtJIoFRf+wYprD4XVqH//7hgyIz6mtGsYGBfyg5Vy+G7G75GIXF1QPJT2AuoOcWhfn8QfxEEzCth9nbG4L8Q0LccsqSI59xY6C1CAm2XnIbX/b4orbgqta0yDijRM0Jbuza4tBb4u4soec2QHlMzLYZ/28J2dUMxxxEQtqURtqdZopyECoqLkqPyPkDZAbY51nwGxqc20yivngK/TvVRNGMS27RpTQIkQAIkQAIkQAIk4HQCzEk5HXmMdcgEeowdevt0nJOVfThShQRIgARIgAQsJbDm9CMM2XzF1Pyge1/8Ln8hmQr7zgr7z1p7HJkC7BstWh3R50Zr7dAQH/3L4fekXKFlLdKobt915TnsDnqOre7DkFd+XwqnziyggLQXrF3i/K7s9hNjUpRSz4RSIcPNMdUhl8vs4oYijiHwVaNHjuG7MVc5HTUUpyUnZQYCFYY5xml4qh+eAVPNy257Bi+Ef9fKKPx7YufGQm8REqg96ygmvOqB3PIHUtu6c4H8LSO0tWuDWwHA6iai5FNjEvRKsRKbWQHDrpgdKRb07D1qzjyKXe6DkUP+yP7X0/g0gOajqNtE7YuWTZujbr7fHNktapMACZAACZAACZAACTiAAHNSDoBKyTAJMIHOC8MmApysbMJHYxIgARIgARKwmsCUwJuYtf8OACNuqNrBQ6aVNDoEAumKWq2Jq5uAjR1Eu4eG5CirCSmZuqlbcRRMz8SV9VCj1qLx/OM48+A/HFX1RhrZaymYZmuA7FKJbLtE+eQc4F9BlFIb3ZBNLVQ0kOGcTyUkicvS23bh7CCRp+++QijhvkY5FsUV1yQv1fyAYt0c5DUcWc0XYHwqs5Nl1NPg27omKudM4dxY6C1CAsJ1s+5rJ8fPMRFF8vg0sLiy2OqzUYXa8dZjf/9yEVnyvIsQCAx6js4rz+GCqjMSyT5JUbX+B8hU3vYoZxYA3t4VdXpoesOzWjt0LpPJdm0qkAAJkAAJkAAJkAAJOJUAc1JOxR2jnTGBHqOH3/bOc7KynSEVSIAESIAESMAaAv3WX8Tm80+RAJ9wyaOzuekfV4CE6ayRC2n79BywSEqA6oxyUwJUDwXmtyqIarlTWq9JiyglUOHPg7j3+jOuqdojtkwtxdJxD5C2iH1je/cYmJ7bTDNv8EJ8QFzs7F0aOVPHt68/qtmVwJUn71F7trDycxByyB9L2vUXAp5N7eorQjGjERibHNBrxKZ11GPQqmF9NCmUNkJzNnAugZzDd+OUrB3iyb5KjjsEAOmKOTeQ17eB2YXMfBaWrcaZETWdGwe9RZrAkqP3MWn7BdzwaG+u0eMMkCxrpHVFwyXVgUfHxZcjtW2gKN4NvrVy2q5NBRIgARIgARIgARIgAacSYE7KqbhjtDMm0GP08NveeU5WtjOkAgmQAAmQAAlYQ6DZwhM4ee8tssseYbdqcChTGeDzEnBzt0YupO2Xt8CkDGZ2pdTT8cSYHGPr5UarYumt16RFlBLIOzIAmuDPPyYjep0Hkth5xZ1OHZL0DHVUVE/GXeNvWNq+MMpnMz8XpWDo/AcCB2++RLulZ3BS1QMpZf9J51tuBLJIq3qdhm5yFuDzS9Fda81glKnWFJ3KZHRaCHQUMYFgrR65fbfjjsd3W0L0OA0kyxaxgD1bfH4NTDaf14qo5+DEuJZQcAsJe5J2mNbobdew//hxHFR5m/sY8gRQxbPd7/q2wLV/RJ05ujq4lrMv5rQoYLs2FUiABEiABEiABEiABJxKgDkpp+KO0c6YQI/Rw2975zlZ2c6QCiRAAiRAAiRgDYGykw/g4ZsvKCe/iGXukyTTOMmBAbetkZLaCqs+/dIB6g/iey00Q3HckBt9K2VFn0pZIqdLqyghoNEZkNVnF37DKxzz6GMew6CHQKyE9o/LLz0Q/E7Uba4ZhhOGXJjYMA+aFo5EVQT7R0jFcAhsPv8EQmWLm6p2UIXeEsJrP5CmoPO5zS4CvL4p+u2p6YV0ZVphYLXszo+FHsMl8OzdV9Tx+xtnPb4r89//NhDXyQ/N6HXAmCRmsVZWT8I6n/ZIHCcSD5Vx3J1OoMvKs/hwfT/WuI+TfKsSAENC7YduS1Q7BwKnF4gK63Vlsf63wdjYrYQtqrQlARIgARIgARIgARKIAgLMSUUB9Bjqkgl0Kwf+5cuXOH36tOlP+KAKf2/evDGptG3bFsuWLYtQMTg4GAEBAdi7d69J5/bt2/j48SPixYuHbNmyoWrVqujSpQtSpTLf/y884S9fvmDOnDnYsGED7ty5A41Gg7Rp06JmzZro3bs30qVz3I+WnKwiHG42IAESIAESIAG7ETAYjMjuuxsavQFNFQcwUblI0k7lCXQ5HHlf80sBz6+I9oO1Xlirr4DWxdJjTD3z8tyRd0JLZxB4/j4YxSbsQx7ZPWxT+Ugu5UrA9xUgk9k/jO+Snr01PbHVUAL9KmdF74p8AMP+wO2n6H/kHv7ccdE51QosCXtxFeDxKbHlMG0HGAt1wPj6eSyxZhsnEbj69D36zF6HfaoB5h59XkWuEoqNcRsnpIUs1ENgjdXDMaFvF2ROHtdGZZo7g0DNmUeQ9fkOTHOfJ7lLlgPocdI+7g//CewfI2od0HvCN+5IHB0kbV9jH0dUIQESIAESIAESIAEScDQB5qQcTZj63wgwgW7ltSD7yQ+OliTQL1++jFKlSpkS5j87hGS6v78/mjRp8tN2d+/eNSXKb96UVmmENkiQIAFWr16NGjVqWNlTy5pzsrKME1uRAAmQAAmQgD0IvPwYjCLj9pmk+ig2oa9ykySbtTrQYm3k3axtCdzYLtrP1dXBJF0zVM+dEvNaRcEq1Mj3JMZbComtWrOOoqz8Epa7T5R4xE0J9A/7ntFmaMtqAQ+OiDJjtK2wWF8DLYumwzgmPm3G60iBSbtv4O+Dp3HCo5e5m0EPgFiJHOk6bO1VTYDbAeK5SdomeJizG+a0ZKll5w9G+B4P33qFGUtXYpNqlNTIPR4w9EnUhDk9L/Duoei7k6YfOnfuhcK/J46aeOjVKgL5RgeihXojBirXSXaZKgKtN1ulE27j8yuBrT3F01cNv6OB3g83x1bDz37jsY9zqrgCgafvvmL1qYeI76FEw4JpkDSuyhXCYgwkQAIkQAIkQAKRIMCcVCSg0SRSBJhAtxJb6H+uhFXeOXLkQGBgoEnFkgT60aNHUbp0aVP7kiVLolatWihUqBCSJEmCV69eYfPmzabEuV6vh0KhwLZt21C9evUwo/z06RMKFy6MGzdumM536tQJzZo1Q6xYsXDgwAFMmDABQpvYsWPjxIkTyJs3r5W9jbg5J6uIGbEFCZAACZAACdiLwMXH71BvzjGT3AS3RWjudkCSLtQRqDU18q4ChgEnZov22/TF0EvbG0V+T4z1XYtHXpeWTifwbU/r+vIj5qv5kucCuh93TDwbOwJXN4ra83W14KdrgUo5UsC/bSHH+KSqXQgM3nQZl88ewU7VUElPJgd83wByuV18WCWyuTNwWUqiLdDVxKH0vbG6UzGrZNjYsQS2XHyKresXY7H7FMlRgnRAX6mSiWMj+E59QVng34vimwO0nVGphTeq5krp1DDozHoCn9Q65B4RgFFuS9HWbY8kkL81UFe6L7FeOZTFrUBgdWPxjRfGhCiqnovzvpVZ5t8msL+GsVZvQK2ZR3HzRchCliRx3DGxYV5Uypni1+gAoyQBEiABEiABEjAjwJwULwhnEWAC3UrSI0aMMCWthb8UKVLgwYMHyJAhg0nFkgT68ePHMWPGDAg6OXPmDNP7li1bUL9+fRiNRmTKlMlU4j2sp6JHjhyJUaNCnvifNGkSBgwwL58nJM3LlCkDnU6H8uXLY//+/Vb2NuLmnKwiZsQWJEACJEACJGAvAruu/Ituq86b5JYqJ6K84pIkXcEHKPNdKV1rHJ9eBOzsL1pcNGREPc1YZEwaB/v7l7NGiW2jmMCmc0/gveESOip2wFe5SoomQxmg7TbHRPfdAxib9KXgre2OvGkSYGvPUo7xSVW7EOi04iw+39iH1e7jJb3YSYCB9+yib7XIrkHAqfmi2VpdOaxI1h87+4Q8hMzDNQgsOXofQTvnY4q7NFZImRfoKlWicGqkK+oB96SHysZpWyBzvSFoWthx25k5tX/R2NnN5x9RdfphLFROQRXFOamnZQcB5UM92GMLg2cXgYVlRQWdUY6s6hXY3rsscqaOb4sybX8BAifvvUGzhT9uB9C8SFr41MyJOCq3X6AXDJEESIAESIAESOAbAeakeC04iwAT6DaStjaBbqm7Ro0aYdOmkLKs58+fR/78+c1MtVotkidPjnfv3plWwV+9ehXyMFaIdO3aFQsWLDDZnj17FgUL2rcEKycrS0eU7UiABEiABEjAdgLCXsVjd1w3Ce1yH4wc8keSaN25QP6WkXdyey+wqqFo/58xLvKrFyKehxuujKwaeV1aOp3AwsN3MX7nDQx0W4vublsl/7kaAI2XOiaeYzOAPcNF7cP6PGijHYIU8VU4NbSSY3xS1S4EGs07jhSPd2GO+0xJL0kWoNdZu+hbLXJgAnDITzTbpS+MMbGH4PiQilZL0cBxBKYE3sSXQzO+e0inLNA21JzjOPc/Km9oDwRJ5b7n6OpAXmkkupXL5Mwo6CsSBPZdf4GOy89iq/sw5JXflxRqzwAKtouEYhgmH58DU7KZnSgYPA9/tquE8tmT28cHVVyWwJwDdzA5IOwtbH5PEhtTm+ZDgXRRsGWJyxJjYCRAAiRAAiTg2gSYk3Lt8YlO0TGBbuNoOiqBPmfOHPTsGbJH14YNGyAk1EMfe/bsQZUqVUxv+fn5YdCgQWH25OTJkyhePKTs6tChQzFu3Dgbe2xuzsnKrjgpRgIkQAIkQAI/JTB62zUsORby4/J5VWckln2S2rf+G8hUIfIEX94A5hY1s88avBwaKE17hKrcFJHXpqVTCUzYeR0LDt/7scx/kc5AjcmOieXSWuDvLqL2dUNaVNf8j73zgGpia+L4PwlJwIIVsVfsvSEWVKwo9vLsHVHRZ8PeFcXee0d99t57QxRULCgoIvbeGyoJSfjOho/dBCkhySYR5p7jeY/svf+Z+7vLstnZOzMbQgHwcEZTiJj/oWaRBOrNu4DqXw5ihngD519eR8BdI5WyKT0PXAmcGMNaDFCWQh/BZNyb5mpKL8hWMgTG7b+LXDfm4V+rA1zP0q2B9r7mYXfUC7i+jrW9VVEfz2rMwLimJc3jD1nVmcCmK08x+VAorksHwE7wjRvXZQ9QtKHOOkl2VCoA7+wAYthurrJZ6NnaDR0dKUuBcSBbrkof3+s4G/Y+UQeZW5RBLg4Y0qAY3a9Y7jKSZ0SACBABIkAEWAIUk6KTwVQEKIBuIGm+AugLFiyAl5eX2jtmJ3qbNm20PJ00aRK8vb3VnzGp2p2cEq4JyKRvz5w5M37+/KlO537x4kUDZ6w9nC5WRsVJYkSACBABIkAEkiTQf8sNnAh9CynkeGAdb1fWwGuAnfbuqhTh/PkJmFtYa0i1qGV4h6y4MqYecme2SZEcdTYfAa9dwdh78+Wf6XDrjgXqcoFJo3r46BywpTUr+THGFlVksamdr42rjxy21kY1R2LGI1B+6il0le/GSPEuTrSYK9CZq0NuPGs6KN3eDhzoz3a8pyqApvKZ9CKPDuhM2WXAfzdQI8wH3azOcGar9AaaLTSlG5ytc9MBP+4FoSPKarhQbi7mtS9vHn/Iqs4EfI7dx0a/cDy07q49ZsAVwL60zjrJdpzrAPz8wHbrLh+NSvXaYWiDYskOpQ5/LwGmNGJF79P4+is62Un0q10YY+mlm2Q5UQciQASIABEgAuYmQDEpc69A2rFPAXQD15qvAHrLli1x6FBs+rvQ0NA/6qW3b98ee/bsUR//8uWLOkieWCtfvjzu3LkDOzs7vH+f+Fu3+qCgi5U+1GgMESACRIAIEAH9CLRc5o/gl9+QX/AOftJh2iJjXgDWBtTxVKkA72xAjIrVbSrzwb2Ygjg0qCbK5U38XkO/2dAovgj03HgNFx58wB7JFFQRhnNmms4DHPvyY/ZdKLCyBqutihGgmGwTFLDC4UG1UDZvJn7skqpBBKKVKhQdfxwTrLbA3eo4p1W+M9B6pUHaeg9+cALY3oEd/jImO2rJltCLGHoD5Wdgh9UB6PpyCpqLNOoKO3sB9blSDvxYTkQ1YDlwkquX7a8sDV+HxVjXo6pJ3SBjKSfgufUG7oTchb90iPbg0U8BGyOm1V5ZE3gXwtrwkveHpEoXzGxTLuVO04i/hsCjD5GoP197I8k292qYd+oBbj7/qjWP7BmkCJpAZWf+msUlR4kAESACRCDNEqCYVJpdepNPnALoBiLnI4AeHBysrlWuVCpRunRpdX3z+I3ZcX716lWkT58ekZEa6VsTmE+zZs1w9OhR9ZGoqChIpVKdZ/3y5csk+96+fRvNmzdX9/Hz80OVKlUS7C+RSCASxaZ+ZeYll8uT1LWx4Xa5MfXemZ30iTWm9rvmnBhtxkZizcrKCmKxmD3MMGHeSk6sMX2ZMUxTqVSQyWRJ+s74ElePnvGb8T+xJhAIYG3N7chKbq4MQ4ZlXGN8YXzSda6/f/9O0ndap4Tx0DrR7xNzZsS/dtDvE/f7Qte9hK8dfPx9qr/oCl5/i4Kj4D52SWMz0TAtRpIBUcMiDP77ZL20DAS/PrI63eRjcElVDmu7VUStwok/xKa/T5Z1H9F2zXXce/MD5yTDUVj4ll3P6NbrIC7fnp/7iF8fYbO0jNY5GJfBYEXHcnApzqTO1W50v5fwr6wpf5/efv0Fp1nnMV+8Em1Fl7hzpWo/KOpNVf9s6nUSvLgK6dYWrC8/YmxQVrYehwY4olSeLHRfnsiV3tTr5LY8EFO+joeziPuuGu0yGQrHAervWqb+/iS6uxOSY1wANkRVEBNyLMMuj2r0/SmRc8Yc65SQKx3XB0H86hr2SKdx9zXidIga9ggQJFz+Q6/78m3tACZbyv/brOiOuFe4F1Z3/jNLgal/n+h5ROyi8PE8Yt+t1xh/KIxdd3tbKQLH1sfvKBmWnX+EFX5PtU7LgFHOyGwTew2j50YJXzz4WKc4S3x8f9KchaVc9xifTHm/R89hubOAnu/R8z3mbNDrPoLiGn/8UTDn71NQUJA62zLTrl27hqpV6aXZRG756WMDCVAA3UCAxg6gMwHRWrVqgbkIMO3gwYNo0YJ7gBTnLhNYv3fvHuzt7fH2LfdgNKHpdOjQAbt2xaZk/PjxI7Jly6bzrJkLoa5tzpw5KFYs4fRnzs7OyJo1q1rq8+fPuHSJe0CXkD6zAz+uRUREqHfhJ9ayZMnCXjCZPswbSK9fv060f5EiRVCmDPeA9+TJk+oXCxJrzEsBefLkUR9mAmanTp1KEglTmz7uC/erV6/YtUxoEBM8b9y4MXuIeVni0aNHiernzp1b6w8C89ICk4EgscacJw4ODuxh5nxKqtE6JUyH1ol+n5gzg36fEr960HUvYTZ8/H0adVUEmUqAFsIrWCJZxhpWZXXA4QJJ7/rTZZ1c7o+FbdQrVneI3BMHVbUwpHo2FMY7+vsE4G+4j5h8Q4SvcgFuS/sis+Anu25hTvNQwpXbgW7U+4gYFVrccYdAxb302Ew2HSExhdGhsBI17P98yYDu9xL+lTLl/d61By/xz8ZgrBfPRX3RLdahe7na4WHO2O8gpl4n8ZdHqBc2VguOQ9RmDCgNdKxH9+WJXYhNvU5e/tHYLhiPskIu+HQrvzueZ6utfqna1N+f7L/dgtNjLn08k7mgtWAxVrjZ0/enRE4ac6xTQq543xShenQAlmrc1/xKlweni8807vfci+OA4O2s5npFE2yQdMWo8n8GE0z9+0TPI2KXhY/nETseCRHwXsiue9OyObGiS2X1c6MXL19jxDURmKw5cW1oGQUKZfw77vcS+wUx5X0EPd/jVoGeG9FzI3puRM/L464IdB/B//fc8PBwjBo1Sm2IAuhJRXvomKEEKIBuIEFjB9D79u2LdevWqb3q0aMHfH19E/SQeXj7+PFj5MuXD8+fP09yFt27d8eWLVvUfV68eIG8efPqPGsKoMMsD4DoixB9YU3ql5SPBwtx9vgI+GnOxVIe1DE+0YMFenGIrwd1fP0+KVSA19XYjCgeosMYJ+YeAisLOONI1qRTc+sSQK/xcCbsIu+zv7be0V2xXtkUPSpkRiUbbmd6/GsU/T5Zzu9TRMQjeF0VQRCjRES8erIhtdeiTL1/2OUzagAdQPPwURD+5F7s7CUfifOqinDNq0KTfH9mzKEHC/w/WEjIguZ9xJngp3DfHoq9ksmoLHzIdr+dryeeZa+n/tnU6xTz4y1cQwZruV4pahVaF0+P3o0qmzwwS/flf96XHz9xAgMvKHBRMhT5hFxN6auFh+Jtpkpm+f6UJfIhaj/kMrNExljDUbEem1pRAD2xc9hS7svHXBOhK45ivHgb6+qXLOXgV3BEol+J9Hqx9cYi4PJiVvOQsjrGxQzCjKoUQI+Dkhpf6J95W4S3v7kA+QS3knB3LsxuvPC5LcI7jeOdiyhRLUfMX/HCJP19oudG9NwoloAu33PjWNGLDvSiA3Mu6HUfQRsD/7jkmPP3iQLoSf0FoGPGJEABdANpGjOAPnPmTIwbF1u3jUnhfvHiRXWK9oSaqXagUwp3mCUFYWKnJaV4sqwUubROf6Y9opII3FlBqe0S/g0xZ4qnhDz6m9bp/Q8Z6iy4rJ7GJKvN6G11gp1STLmOiGqyKMm7Gl1S7YsPesAq7BCrs1zRAnMVHdGrRgGMalgkUX36+2Q5f5++REbBcbYf7PAV1609tdZMPjgUkqzci5TGLgVjvdkVgje3WZujovtil9IF7SvlxrTmJf44fyhFbsK/Uqb8fTod+gZ9t9zEWYkXigjfsA7JWq6BqkTsDnSTr1P0b9jML6gFx0U2H32au6CjYwGTpwan+70/7/fefv4Bpzl+uCPtA1sBVyJK1uUgVHmrmeX7k+DTQ1ivc9ZarmJRm3F7cmOks+FKZhn7uvc33UfEP5ctIZWxXKlC+ekX/rivUZb5B3K3JYned+iVevXaKuBk7PMWpgUoS6FT9AQEj68LiRW3Q9ks1z0qKadeE2P/Pn2Pika12drZD/d71kDF/FnUZQWZtNaDdtzB2QfcS6LuNfPDq4EDpXBP4luFsddJ0xSlcKcSjcz5YAl/n+LOS1Pel1Oqfe5qQM+NKNU+czYkdb9HKdyTfPxHB41IgALoBsI0VgB99erV6N+/v9qb4sWLq1Oc29nZJeqdqWqgJ4eHSXvl6Oio7kbpMpKjRceJABEgAkSACOhPIOztd7guin0IuFy8CG6ia5xYreFAg8n6i8eNPDoCuL6W1dmucMFYRV+0rJAbiztWNFyfFHgn8OTjT7jMu4Diguc4KR2jbW/iJ0AUm8WAl7b1H+DhSVZ6bvQ/WK5shXolcmBDT6pJxgtzA0UP3HqFoTtv46bUA1kFkZxa90NA4ToGqhswfHpOQMEFZlvJpqGJazP0q5P4izwGWKOhKSTw6EMkGs8/+0eWC3heBXL8+bJMCuX16x75AZjHla5iRKpErcTJCW2RLYNUP00axTuBd9+jUM3n7J/3Nc5eQP2kS9Ok2Lm7e4C9fdhhEarcaCCfh0ujXJAva7oUy9EAyydw4cF79Nx4nXWUeVEiZEpjrRcmZh0Pw6qLXBm9hqXssbZ7FcufHHlIBIgAESACRCANE6CYVBpefBNPnQLoBgI3RgB9+/bt6Nq1K1QqFQoUKAB/f/9k06y3a9cOe/fuVXvP1MDOnDlzojMpX7487ty5ow7Iv3//3sAZaw+ni5VRcZIYESACRIAIEIFECQQ8+oROawPVx+OnW0bTeYBj0incdUJ7YTZwwYftelpZGX2jvVDLITv+c6+mkwR1Mi+BoKef0W5VAKoLQ7FdMoNzxiYLMJqrVcyLlwcHAbdiywYxzVfRCFMUPVE6ty2ODtbeGcqLfRJNMYEtAU8x6eBdREi7QSTQyKTQ3x/IWTbFekYbML8E8IPbEd9TPgola7fFaFczBWeNNrHUIcRcZ/qtOoEb1gO0J+QVDmS0N88kldGAd3Yt2/Vlc7F6WCc45MhoHp/IarIE7r3+jqZLLmGfZBIqCSO4/m7zgaruyY5PUYcnfsCm5uyQbzHpUF62DnsHVEflAllTJEWd/w4CC049wJJzsedVJkRisN0t9GlYCSjhBkhisz3uDnqBkXvusBMqbJce57zq/h0TJC+JABEgAkSACKRRAhSTSqMLb4ZpUwCR9q7GAAAgAElEQVTdQOiGBtAPHTqEtm3bQqFQIFeuXOqd50x98+TapEmT4O0dW+MtICAAzI70hBqjywTXf/78idq1a6vTwhuz0cXKmDRJiwgQASJABIhA4gSO332DAVtvqjtclv6LPIJPXOeO22IfBhrarq8DjnqxKjdURdFWPhUlcmbEiaG1DVWn8SYgcCLkDfr/dxNuwkAsl2ikv83mAPx7g18PznoDl+axNo4qHTEweiiyZ5AiaEIDfm2Tul4Elp+PwJqTNxBs7aE9ftg9IFMevTSNMmi5E/DhPis1WD4Q6at0xMw25YwiTyKGETgV+haz/zuEs9KR2kITPgBWEsPEDRntkxeQ/2AV2skmYZRHLzgWouCoIVj5HOv/8CO6rr+KK9JByC34rHFfsx0o0dS4pj88AJbHZs+La8WjfLGgsxPcyuUyri1SswgCXdYF4nLEJwigwm7JNFQRhsf6lb040GELYFccN59/QZsVV1h/rYQC3Pd2hVikndbfIiZEThABIkAEiAARIAJqAhSTohPBVAQogG4gaUMC6GfPnoWbmxuYOmzZsmVTB7eZ2ua6tFOnTqFx48bqrrNmzcLo0aMTHBYYGIjq1aurj40dOxY+PtyuMl3sJNeHLlbJEaLjRIAIEAEiQASMQ2Db1ecYt/+u+iFguLQHxAKNulh9zwN5Khlu6N5BYFd3Vuepyh515QuRPYMEQRMaGq5PCrwT+C/wGSYcCEE30Sl4i305e/mcgD5cenVeHLm6BjjOBdSuq4qhvXwKBAIgfHoTehjNC3TDRGcev4+TfpdxQcq9OKNWHP8WENsYJm7I6A1NgOdcQGNidE98LNkdK7tWNkSVxhqJwI5rz7Fr/17sk07hFCUZgHGvjGRBT5mFZYFvz9nB7nIvtO/igcalc+opSMP4JnAo+DWGbQ/CA2kPWAk0av96XARyVzCu+d9fgdkFtDRrRi1G72Z10KdWIePaIjWzE1AoVSg/9RR+ypWoIIjAAWm8kgDi9ECLJfhWpCXKTzul5e9ZrzooYpfB7HMgB4gAESACRIAIEIGECVBMis4MUxGgALqBpPUNoF+5cgWNGjVS7wy3tbXFuXPnULmy7g+E5HI5cuTIgW/fvqFkyZIIDQ2FgHk6Ga8xddWZ+upM46NGOV2sDDyBaDgRIAJEgAgQAR0JMDtF5558ADt8xXVrT+1RXg+AjEYIEDy9DPhyO76+x9ignGw9hALg4YymEDH/Q82iCSw+8xALz4RjqNUeDLXax/laohnQcSu/voceAHb3YG3EvYDBfBAwth5yZTJjQJbfmf+16sxLOfeundMOLFhZAxPemXdO2zsBD46xPsyLbo8bBdyx3SPhrFvmdTbtWV/r9xgBJ7Zig4TLOIFM+YBhIeaFsbo28CaY9WFEdD9UaTkIHR3zm9cvsp4oAd/LT7DysD+uWg/S7jMiAshgZ1xyMTHAdHtAKWN1W8mmwdG5EcY1LWlcW6RmdgKhr7/BbYm/2o8/XirU9M7RA043XPD2J1fGZE23ymhEL96YfQ3JASJABIgAESACiRGgmBSdG6YiQAF0A0nrE0C/ffs2XFxc8PXrV6RPnx4nT55EzZo1U+yJZhr3OXPmYORI7RR6TGp3Jm07k8a9Tp06uHDhQoptJDeALlbJEaLjRIAIEAEiQASMQ2D6kXtY5/8EZQSPcUQ6gRMViICJHwChyHBDH8KB5VW1dIpFbYIcYnUKbiYVNzXLJjDpYAg2BzzDVKuN6GF1mnO2Ug/1Tite2/NAYENshiSm/YyRorRso/r/DwysiQr5MvNqnsRTTuDf7bfw4+5R+ErmcoMz5ga8uPTpKVc1woj9A4DgbazQOkUT7MnuSaUkjIDWGBJLzj7Es7PrMF+yipPLWRboHxusMlvb3BJ4zH3n9Y7ugmwNh8OzroPZXCLDSRNgalT7nT+h/RKPSAKMfwcIeUihHS9LQV/5cKQr1wKLO1akpUplBLYEPMXEg6HqWc21WoX2Vn6JzjBcXAI9f3jiNbKr+4x2LYEBdZMvrZjKkNF0iAARIAJEgAj8NQQoJvXXLNVf7ygF0FO4hP7+/oiIiGBHffz4kQ1cM0Fwd3d3LcWePXtq/fzo0SPUqFED79+/V3++cOFCNGiQdE1IZqc58y9++/HjB6pUqYLw8Ng6Th4eHujYsSNsbGxw/vx5dbr2yMhI9c/MjvcKFYycAo3qTaTw7KHuRIAIEAEiQAT0J+C1Kxh7b75EQ2EQ1koWcEK2eYHhsQ8IDW6/PgNztNOYOkUtxVtkw4mhziiR09ZgEyTAL4GBW2/i6N03WCZegmaiQM5YreFAg8n8Gv/8GFiiHYQoFbUBv2CN1d0qUxplfunrpd5z4zVkebgPCyUrufH2ZYABl/XSM9qgE2OBwBWs3G5FbSxIPxQBY+sbzQQJ6U9g9okwyC8txUTxf5xIodpAj8P6ixpj5O6eQOh+VmmpohV+1BhDu4uNwZYnjfH77+LT9T1YJVnEWchcABh6hx+La+sDr4JY7fHRvRGR/x/s7Bdb9o5a6iEwdMctHLj9Wj2hE5LRKCF8keTkPsdkQA/5GNyNKYx2lfNiXvvyqQcGzYQIEAEiQASIQCojQAH0VLagFjwdCqCncHGYgPimTZt0HhXDpAnTaL6+vujVq5fO45mOkydPxpQpGvXlNEYzwfymTZvi4cOHCWoy6eG3bt2KZs2apcimrp3pYqUrKepHBIgAESACRMAwAn18r+Ns2Ht0FZ3GdHHsrl51y1sVcD9jmHjcaJUK8M4OxHD11d1kPgiNKYit7tVQ0yF2Zw41yyXQYXUArj75jG3i6aghusc52tgHqD6QX8dlkcDMPFo26sgW4FlMTni3LI1u1Qvya5/UU0ygzYrLqPBqOyaJt3BjCzoDPY+kWMuoAy7OAc7PYCVPKStjMEYizLuJUc2QmH4EphwKRdZrczDY6gAnUKoV8I/u35P1s5zMqCPDgKANbKctigYILj+JAmG8wDaOqOfWG7C/txGTNa9B+WsAvY8bx0B8le2dgQdH2U8XKdrgQKbuuDDShR97pGo2As5zzuHF59+wQRRCpH0gEmg8m6vWH7jhCyiitPy7qXJAG/k0VMqfGfs8U54l0myTJcNEgAgQASJABNIYAYpJpbEFN+N0KYCeQviWFkBn3GfqqC9fvhy7d+9W745n6qPny5dPHVgfMmQIChQokMJZ6t6dLla6s6KeRIAIEAEiQAQMIcAEum4+/4oRVjsxyOogJ1WyBdBBI/hliBFm7NyiwM/YTDlM6y4fDT9VeSzuWAEtK2gHRw01ReONT6DBgouIeB/5526r1muA8h2MbzC+ok8eQB7JftpONglBMSUwyMUBIxoX598+WUgRgYYLLqL55w3xAqEtgX82p0jH6J2vrgGOc+WprqpKoIN8EsK8XWEtNkK5CqM7nLYEx+y9g1K3pqG7ZpmIyr2A5hq7iM2B5Ow04NJ81vIRpRP2F5mO9T21S5OYwzWymTAB5qWvei+Wop8VF9RGmXZAu/X8IDs8FLjBvYS4VVEf3oK+uD/NFQKBgB+bpGpyAu9/RMFxxlm13SqCMOyRTuN8YEofjXsFfHwI7OoOfHnCHpPFWKGkzBcZbaS4PakhnRMmXzkySASIABEgAkRANwLmjEmNGjUKc+dyJdCYTNB169ZN0vETJ05gzZo1uHbtGj58+AA7Ozs4OjqqM0q7urrqNOlfv34lGAN0c3PD4MGDkT9/fp10qFPKCFAAPWW8qHc8Aua8WNFiEAEiQASIABFISwTqzbuAxx9/Yp54FdqJNOo4Mrtomsw2HooV1YH33M7loXJPHFDVwgS3knB3Lmw8O6TEC4EK007h669oXJN6IofgK2ejy16gaNJlg4ziEJPCnUnl/v/mKR+MYyontK+cF3MpHapREBtTxMnnLDx/rYwXCO0JNF9sTDMp17qzC9jXlx0XpsoHV/lsBI6tj5yZrFOuRyOMSmDIjltoEDoGzU1dJiK5WVxZCpyawPa6pCyDBbnmYD/tJE2OnNmOMy/x/PtlJlqIAjgfagwGGnnz49P5mcDFWaw2k93CI9oLwZMbIZONmB+bpGpyAidC3qL/fzfUdnuLjmtnWbEvCwzwj/Xp20tgYWkt/2pGLcYr2CFoQgNkzyA1ue9kkAgQASJABIgAEUiegLliUsHBweqSygqFgnUyqQA6k526f//+6uB5Yo0Joq9atSrJF/eYstBMoPzBgwcJymTKlAnbtm1Tb6ilZlwCFEA3Ls80p2aui1WaA00TJgJEgAgQgTRPIC4w+p94BmqJNGqeN5wG1BxiPD6bmgNPuAC9d3QXrFe6YUDdIhjtWsJ4dkjJ6ASilSoUHc+kvY3BQ2l3iAVcKn54XABya9cnN7oDjOAGV+A5FwiZHN0Dm5SNUb9EDtoFygtww0RLTzqBWTELLS8QGn4K2NaendybmKyoLluGE0OdUSKnrWGTptEGE/DYHISuD4eitugup9XQG6g52GBtgwRubQUOerISd1UFMdh2Mc6PSHpHiEE2abBBBCp7n8aK6AmoJgzjdFxnAU4DDNJNdPD19cDR4ezhWyoHtJZPw6lhtVHMPiM/NknV5AR8jt3HGr/Yl/kWipejtegy50PFbkDLZbE/MyUXZ+bVypzTWT4OV1RlsNPDCdUKZzO572SQCBABIkAEiAARSJ6AOWJSKpUKTk5OYGznyJED79/HZm5MKoA+fvx4+Pj4qPtVrFgRzO71IkWKgAmIz5kzB7du3VIfY/pNnz49wYlHRkaiatWqCAuLvV/u27cvOnbsCBsbG7XtmTNngumTLl06BAQEoFy5cskDpB46E6AAus6oqGNCBMxxsaKVIAJEgAgQASKQ1ggoVTFwGH9M/ZzvjGQEHISvOQRt1gHluECTwWx29wJC97EyKxQtMEfRkXYQGwyWf4H336Pg6HMWtojEHWsPbYNDQ4DM+fh3gkmHeo8rMbBM0RLzFB1QMX9m2gXKP/0UWVAoVXAYfxxbxD5wFoVwYxtNB2r8myIto3d+cR1Yz2VM+BUjRSnZRuzwcIITBTSMjjulgt3WX8XIZ/1QTsilPkbL5UDFrimVMm7/sGPAjk6s5guVHZqJVqh3F1OzPAKq/9/bnBCPRDHhK87BtuuBsu34cfj+EWBnF1b7ZUx21JItwebejqhdzI4fm6RqcgJtV17BjWdf1HbPSrxQRPiG88FtAVC1D/fzKmfg7R3253HRfbBNWR8z25RFJ0dKhWryxSODRIAIEAEiQAR0IGCOmNSiRYswbNgwlChRAq1bt1YHrpmWWACdKbVcsmRJ9W51Zte6n5+fOugd15iU7HXq1EFQUBCsrKzUAXImuB6/TZkyBVOnTlV/zATdR47kSp0xnzFB89q1a6vtuLi44Ny5czoQpC66EqAAuq6kqF+CBMxxsaKlIAJEgAgQASKQ1gh8+SlHRe/T6mnflfZBRsFvDkHPo0DBWsZDcmwkcI1LL7VDURdjFB5wKW6Hjb0cjWeHlIxO4N7r72i65BIKCd7gvNRLW3/cG0CSzug2/xA8Ngq4tpr9eKeiLkYrPFAwWzpcGOnCv32yoDOBr7/kqDDtNI5IxqGM8Ck3ruUKoCIXYNJZ0Jgdmdq0y6poKRaL2oQlXavBtUwuY1oiLT0ItF91BfNfd0d+4QdudMdtQAk3PdSMOORZALCRqyH4PcYG5WTrETGjCaxEQiMaIiljEIi7t7ku7Q87wXdOstt+oEg9Y5j4UyPeyzmyGDGKy3wxp115/FPFBC+Z8TMrUtUgIFMoUXbyKciVKmTAL4RYu2vz6XseyFOJ+2xXD+DeAfbn1Qo3zFR0gXutQpjQrBSxJQJEgAgQASJABCyQgKljUi9evECpUqXUO72ZgPmFCxfYoHZiAfSBAwdixYoVanpMkJvZvR6/BQYGonr16uqPBw0ahKVLl2p1iY6OVu92//r1qzoYHxISAqHwz+81TJr41atjn8MwAfnKlSubZNU+fvyIV69eqeu6f/r0Sf2CAFPfnflXuHDhBH01iWNGNEIBdCPCTItSpr5YpUXGNGciQASIgC4EmLo6AoFAl67U5y8k8PhDJOrNv5jwg8DBt4CsRqxNfnEOcH4GS+m0shL6Ro9AubyZcGiQEQP1f+E6WLrLlx5+QLf111BJEI590imcu+J0wHiN3Vd8TsRvHnCOq117TlkBvaNHwdbaCnemNObTMmmnkMCLz7/gPOc8/KWDkVfwkRvdaQdQvEkK1YzcPfIDMM9BS7Rq1Ap4tXFGR9oRaGTYKZdrtvQStn1sD1vNl7l6HQcK1Ei5mDFHvA8DVlTTUnSI2ozACa5Uy9iYnI2kFfE+Eg0WXECEtBusBCpO1eMikLuCkazEk/nyDFisndayXNRaeDSqiEH1ivJjk1RNSoDZec7sQGeak/Aedkg00qEKxcC4V4CVRm3zM1MB/wWsjyeVVdAveji9OGrSVSNjRIAIEAEiQARSRsDUManmzZvjyJEj6NGjB3x9faG5KzyhADrzjDZfvnzq4DKzY/3+/fuJTpA5ztQ2z5s3L54/f671bPf06dNo1Cg2m9asWbMwevToBHU0A/Hjxo3DjBncM72UkU26948fP3Dw4EH1CwSXLl0Cs8s+sZY+fXr1SwPOzs7q+u2VKmm8wGhMp3jWogA6z4BTu7ypL1apnSfNjwgQASKQUgInQ99i8ZmHePX1N/rXKaKuU00t9RG48ewz2q4MQBHBK5yVaqdrwvi3gJhLA2Xw7OPVB72pckAb+TTkzmSNK2PrGyxPAvwROHDrFYbuvI2GwiCslXAPg5EpPzBMo1Yxfy4AN7cAhwaxFpgaxM3lsTW/Hs5oAjHtAuWTfoq0Q19/g9sSf4RIeyODIIob2/sUkF87CJkiYWN0VkYD3tm1lOrL5qJd4/r0d84YfA3UaDTvDE5FttVW8QwEcpQ0UNnA4T/eAfOLaYlUjlqJncObwyEH1bc2kK7Rh1978hnuq8/gjnVfbW0+S45ERwEz7P+4tlSvVh3TW5U1+hxJ0PQE1vo9xoxjsQ+p+4qOYLx4G+dErgpAv4vaTsW7b3mgyovG8jnInzUd/EZR5hzTryBZJAJEgAgQASKQPAFTxqR27dqFDh06IGvWrOo068zu6uQC6I8fP2bTsffr1w+rVq1KdFLM8TVrYrNAMuMKFSrE9p00aRK8vWM3KCS2i505xqRvz5w5M37+/KlO537xYrz7neSRJtnjxo0bWLx4Mfbu3YuoqNhnB8xLAsk1zY1exYsXB7Mrv2fPnmCC639LowD637JSFuqnKS9WFoqA3CICRIAImIXAt9/RmHooFPtucTUjmQ3oJ4bURvGc9JDYLIvCo9Ez997BfXMQagrvYqskts6SutlkAUZrpF42hg/3DgG7urFKz1Q5UEe+CBKREA+mu1KmA2Mw5klj3aXHmH70PjqIzmO2eC1nJXdFwOMCT1bjyYafAra1Zz98F5MZ1WSxacuuj28Au4wau75M4xFZSYRA4ONP6LbGHw+tu2v3GHgdsNMOQpoFok8eQB7Jmm4jm4KqtV0xtomZg7RmgWFZRt1m7sdRWU9tp7zCgYzagUmTe62QA9O161gzL17M9GgHx0JZTe4OGUyawImQN/DZehx+0mHaHce9BiQ8PlSblR+I+sba7CifgAzFXbCuh3bZCFq/v5NA/y03cCL0rdr5peIlaC4K5CZSuRfQfJH2xJ5eBnybsp9FxYhRUrYREAhxf5orrMWivxMEeU0EiAARIAJEIBUTMFVMKi51+tu3b7F27Vq4u8eWhkkugH706FE0a9ZM3XfhwoUYOnRooqvBHB8+fLj6ODOuaVPuvqR9+/bYs2eP+tiXL1/UQfLEWvny5XHnzh11gP/9+/dGWX0mcD5hwgScOnVKrRcXNM+VKxeqVq2qThXPpJhnXi7IkiULfv/+jc+fP6t9DQ8PB7NOjE9MKnqmMQF1pi9Tx33IkCGQSi3/+RAF0I1yKqVdEVNdrNIuYZo5ESACROBPAn7hHzBqzx28/a6xY/D/3Sa4lYS7sxHTedMCWASB3UEvMHLPHbQV+mG+ROPN1RylAc/YNJVGa8+uABu59M0/YmxQVrZeLX9nSiPYWouNZoqEjEtg1vEwrLr4CJ6igxgl3smJOzQEusZ+6eK9vb4NrKnDmlHECFFMthkqCHFqWG0Us6cXfHhfAx0NnAp9i/FbzuC69UDtESMfAem1d3/rKGncbgtKA99fspq95CNhX7kFZrXVTr9sXKOkpguB1tN8sV81RLvrhPfaaZF1EeKjTwIvXnh06QTXMjn5sEaaBhDYdvU5dh3YjwPSSZyKlTXUmXX4LEu0rCrwMZy1+a98EJ7maoLD/1KZGgOW0yKGMg91HX3O4sMPmdqfC5JhKCh8x/nWfAlQuYe2r9/fAAtKaH3mFLUUb5ENJ4fSi8kWsbDkBBEgAkSACBCBeAQ0Y1KHDx9GhQpJl/9h0qPr0zw8PNSB8xo1asDf35/dUJJcAJ3ZcT5gwAC1yd27d6Ndu3aJmmcC5EygnGnMOGZHelxjUqBfvXpVvWObqb+eVGMC9kwAnmnMLnFDg9O9evXCli1boFLFllpiUrB36dIFbdu2Rf78+XXGKZfL4efnh23btmH//v349u2bmiOjwejXqmXZ9+AUQNd5qaljQgQogE7nBREgAkTAdAR+yhTwOXYfW68+T9Roi/K5saRTRdM5RZZMQiAuHaWn6ABGiXdxNvkIjH58CCzT3oVVPMoXMkhwzqsOCttlMMmcyUjKCYzcHYzdN15ivNV/6Gt1jBMo1xFoszrlgvqMSOBBNJNC+RMyYYeHE5wKZ9NHlcbwQGDvjZdYvecITknj1VGb+AkQWfFgMYWSK2sC70LYQcPkA/CrZDus7ka7RFNI0ujdO01cgu2iiayu0iodRBPeGN2OXoILywDfXrBDe8tHoGGrHujkqPtDHr3s0qAUE1h27iGCzuyEr2QuNzZjbsAr8RqRKTaS0ADfZsDTS+yRadHdcDhdK3WWFGp/NwEmcF51xhn1JGwRiTvWHtoT6u8P5IyXqp9JP+qTG4j+xfZlshIEqkphRZdKaFo2198NhbwnAkSACBABIpAKCWjGpHSZni7pxuPrMAFzJh26SCTCzZs3UbYsdw+RXAB97ty5GDVqlFry+PHjcHV1TdRN5njcrvN58+bBy8uL7Vu6dGncu3cP9vb2YHbBJ9WYNPNMunmmffz4EdmyGfbsRSgUQiKRqOu+Mz4VK2Z4ljqZTKZ+ocDHx0edDp/hyKSpt+RGAXRLXp2/wDcKoP8Fi0QuEgEikCoIPP/0C13XX8Xzz9zDnYQmVjBbOlwYSfX6UsWia0xizokwrLjwCN5WG9DNKvbBoLpV6g60WGrc6f76DMzhai4x4tWjluINsmFXv+qUBte4tI2q1tv3Os6Fvcd88Qq0Fflz2tUHAY1nGNVWomJKxf9rV3P1sFxlsxAWkx8ru1RCE3oQbZp10MGK7+UnOHJkH/ZIp3G9pbbAWC74qIMMf102ugHPuPN4SnR33M/fGTv7VefPJiknS4B5+NRn/HRskMxj+0ZnyA3xCJ6Dnsl69v8Oq2oBb++yvYfL+8OhUV941nXQVYH6mYjA1MOh+BawGQs0M+vYlwUGaPz94sOXPb2BkL2s8kpFc8xTdUbEjCZUpoYP3ibUvPPyK1osu6y2WEt4F/9plj1ishuMfQmIEsikFO+FrdHRfbFT6QKvhsXwb/2iJpwBmSICRIAIEAEiQAR0IcB3AJ3ZNc3sar9//7463ficOXO03EougM7ULY8LDJ89exb16tVLdFrnzp1D/fr11ceZcUzK9LhWpEgRdV30fPny4fnzxDdTMf27d++u3tHNtBcvXkDfXfdxtpl65WPHjjVYJ6GJM98pmUC6UqlEp06ddFlys/WhALrZ0KcOwxRATx3rSLMgAkTA8gkM2nYTR+78uburVC5b3HvzXWsCwZMaIVM6SrNt+auqu4dj993B9msvsFY8Hw1FN7iBdcYALmN1F9KlJ5OeyTs7EKNke7vJZiA0phAFQHXhZ8Y+LZf5I/jlN/iKZ6OuKJjzpP5kwDm2ppZJ2lwH4OcH1lQ3+RhcUpXDjNZl0KVaAZO4QEaSJ7D07EPcPLsTGzV3f9rmBYaHJj/YFD12dAHCjrCWFka3xYnsPXFyWG1TWCcbiRCIilZi3ORxWkFPefbSkAwycjkRfVdgU3PgiR87mtldLKrhifFupfRVpHE8ERiy4xay312HieL/OAuFagM9DvNk8f+yJ8YCgStYG3uVzvCKHoDgyY2QyYbun/mFz6/6ydC36Lcl9j75j3I2easC7hovoWq6srMrcJ8775iXKmYrOqFVhdxY1JEye/G7aqROBIgAESACRCDlBPhO4R4XIGfSjDM7wJkU6potuQB6atiBnvJVSZ0jKICeOtfVZLOiALrJUJMhIkAE0jgBJ5+zWjXPbcQijHMriQ5V8qHMlJOQK2Jr0jBtSx9HOBe1S+PEUtf0+2+5gROhb3FQMgHlhY+5yTVfDFTuafzJzisGRHI1I3vIR+Oiqjy8W5ZGt+oFjW+PFI1CoOasc3j19TcOScajnPAJp8lkKWCyFZiqxdvJxewA3aeqjRGNimFQPdrJZaplSM4OUxLkrf8WLJEs57rmKAV4BiQ31DTHDw4EbnGBtQ0KV6xO1xdXx1GaZdMsQMJWvvyUY4nPcEwWx+5uYJo8X01I+miUjTCng7u6A/cOsh4sUbTCs3LDMf+f8ub0imwnQKDb+quo9mQ5Bllx64XSrYH2vvzy8l8InJnC2vBTlkX36LG4OLIuCmTTfjjKryOkbmwCm648xeRDsS+BrRQvRBPRdc6EowfQVKNcgKbx05OAy4vZT44pHeEZPRTl8mbCoUGWXZfT2AxJjwgQASJABIjA30CAz5gUk1q8fPnyYHahHzx4EC1atPgDSXIB9NRQA/1vOA9M4SMF0JCFlF0AACAASURBVE1BORXb4PNilYqx0dSIABEgAikiwDysruh9WmvM3gHVUblAVvVnrZZfxu0XX9njFKRKEd6/onOH1QG4+uQz/KWDkVfwkfO543agRFPjz2FFDeA9twuVqT28X+WMIfWLYlhDw+seGd9hUmQIlJx4Ar+jlQmcJ9uAEm6mg7SlNfDoHGtvZnQnrFY2R++ahTCpOe0CNd1CJG1pzN47EN3ciBniDVzHfE5An5OW4eLJ8UDAMtaXvcpaGBczCA+mN7EM/9KoF6+//sZ/c4dglHgnS0BRpBGsuu22DCKHhwA3uADsZkVDXHAYjQ09q1qGf+QFS8BtySV0fr8QXazOclSq9AGaLeCX0u1twIEBrI37qvxoIp+FAwNrokK+zPzaJnVeCcw6HoZVFx+pbfxxz9xqJVChc8L2mWsGc+34f4s7J9JLRAiZ2phS+/O6aiROBIgAESACRCDlBPiMSfXr1w9r1qxB4cKFMWNGwqXw9uzZg717Y0sCTZw4EaVKxT7naN68uXq3+pEjR9T/z7SFCxdi6NChiU6SOT58eGzGwKNHj7L10Jmf27Vrx9r58uULMmdO/F6VCfrfuXMHdnZ2eP/+fcqh0ogECVAAnU4MgwjwebEyyDEaTASIABFIRQSuPPqIzmuvsjOSiIQIndYYYpFQ/dnkgyHYFPCMPd6wlD3Wdq+SigjQVBov9MODdz8QIu2NDIIoDkjvk0B+J+MD2tQCeHKR1fWO7oL1Sjd0qZYfM1qXNb49UjSYgEoVg8LjYneA3pP2QjqBTOM8OQXkr2awDZ0F9vcHgrez3dcrmsBb0Q2tK+bBwg4VdJahjvwSGLj1JvLdW40x4h2cIYeGQNc9/BrWVd1vLnBuOtv7jLIi3KNH4v40V9hIRLqqUD8jE3j0IRJHFw/EYKsDrLKqVGsI/+F517Cu8zgzFfDnArCHlNWxMddE7PesqasC9TMRgeozz2Lir1loKrrGWaw9Cqg3nl8PIs4A/7VlbXyIsUVV2Sps7FUVLsVz8Gub1HklMHTHLRy4/RrZ8A03rLmXJNRGPQOBHCUTts+UfWDKP/y//YqRopSMeblMgMCx9ZEzkzWvfpM4ESACRIAIEAEikDICfMakevbsiU2bNqXMof/3fvLkCQoWLKiuW87UL2caE5BndqQn1uIC9sxxZlyhQoXYrkwddaYuOtMCAgLg5JTw8z+FQqEOrv/8+RO1a9fGxYvc8zy9JkKDWAIUQKeTwSACfF6sDHKMBhMBIkAEUhGB9f5P4H3kHjuj0rltcXSwM/vzvpsvMXwXV+/Y3lZKKW5T0fozU3GccQZffvzEQ+t4abgHXgfseNgRvqc3EBL7Ni3T4mpBNi5tj9Xd6OUMSzy9fskVKDXpJKwhQ5h1L20X/70JZIv98maSFi8VKhPAGhz9L+oUs8Om3o4mcYGMJE+ASZ/s9GQZBlod4jqXaQu009iRnrwMfz2urwOOerH611XF0F4+BQFj6yFXJhv+7JJykgRCXn1DwMr+6GulkbK9QhegFVdT2qwILy8BTk9kXWDSc0+y9caFkS5mdYuMaxOIiYlB8YknsEkwDdVF3D0uXGcBTvECn8aG9/YusIpLy62KEaCobDPmdaiE1hXzGtsa6ZmQQFzGprrC2/CVzOEsi9MBY18CwkRevvr2ElhYWsvTqlHL8QFZsNW9Gmo6ZDfhLMgUESACRIAIEAEikBwBPmNSxgigM/e6efPmxevXr1GiRAncv38/0SmVLFkSTNr4PHny4MWLF1qZb06dOoXGjRurx86aNQujR49OUCcwMBDVq1dXHxs7dix8fHySQ5jk8ejoaNy9exdWVlYoW7Zsotl4mB3vt2/fRvfuJiwZaNDMUj6YAugpZ0YjNAjwebEi0ESACBABIhBLYOTuYOy+8ZLF0a5yXsxrz9XyjHgfiQYLtN8uvDquPuxtabdEajiHmBvvYhOOI7PyC65be2pPaUQEkIGHevfHRgHXVrO2dirqYrTCA1UKZMGeATVSA9ZUN4ePkTJUmX4GefABl625NKTqiY5+BtiYMC1twHLg5DiWcYCyFDpFT6BaohZ21jHlP9q8WYjuVholQir3ApovsgxP7+4B9vZhfQlX5UEj+VwcG+yMUrltLcPHNOhF0NPPCFvnjq6aaberugNu8y2Dxs0twKFBrC/BqsLoJpyFO1NiHzxRswwCkTIFykw+iROS0SghfME51WYtUO4ffp2MfA/MK6plgwmW9m9WE31qcTt++HWC1PkgUGfueTz79Av/ivbBS6yRTSV/daD3icRNqlSATy5AwWV5ai+bhOsxJTCtZWl0r16QD3dJkwgQASJABIgAEdCTgLljUsnVQGem5enpiZUrV6pnmNjucc3AN9N/+fLlWkSYOuw5cuTAt2/fwATaQ0NDEwxm9+/fH6tXxz7Du3btGqpW1b98FZOefsCAAfj8+bNaL1euXJgzZw46d/6zFM7UqVMxbdo0KJVKPVfS8odRAN3y18iiPTT3xcqi4ZBzRIAIEAEjEWi29BJCXn1n1Sa4lYS7c2H2ZyZ1c/mpp/BDpmA/W9OtMhqVzmkkD0jGnATiHjIXFbzEaekobVcmfgJEVsZ37+Jc4PyfqZMLZktHu/iMT9soii8+/4LznPMoI3iMI9IJnKbQCpj4ERAIjGJHJ5F4gc8IVW40kM9D3iw28B9dTycJ6sQ/gfrzL2DQ1zloLbrMGas5BGg4jX/juliIl2b5XUxmVJOtwLa+1VCjCO0G1AUhH30uPfyA95t7oa3oEidf41+gEfc3gw+7OmvePwLs7MJ2f6bKgTryRYiY0QRW/y99o7MWdeSNwPNPv1B77nlclXrCXvCVs9NlL1C0AW921cIqJeBtB8RwD/rcZD6o59IAXo2K82ub1HkjEJfVQK5QYa14PhqKbnC2nDwB15lJ217uBHzgdoeNjPbAbmVd9KxREFNaaO9O520SJEwEiAARIAJEgAjoRMDcMSldAujh4eEoXbo0mPTqVapUgZ+fH2xsuExqv3//VqdbDwoKUu/0vnfvHooW1X7Jk4GhmcadCWSPHDlSixETnGd0GDt16tTBhQsXdGKYUCcm+F6jRg2IRCK4uLhALBbjzJkzYAL5Hh4e7AsBcWMpgK43ahqYVgiY+2KVVjjTPIkAEUi7BBRKFUpNPgnmYVBc2+ZeDTXipRLstCYQAY8/sX0GuThgRGN6CJgazpy4wGhVQRh2SzUCW9JMwNjn/EwxaANwZBirfUvlgNbyacggtULIVNrFxw90w1TD3/1Ao4V+qCMMxibJbE4sgz0wItww8ZSOfnIJ2NSMHfUtJh3Ky9YhvUSE0GmuKVWj/jwRqDrjDGZGTUcD0S3OQr2JQO0RPFlMoezLG8A67oULWYwYxWWbsLJLJTQpmyuFYtTdWAROhb5F9I5ucNOsW11nNODCZZ0wli29dJ5eBnybskO/x6RDOdk6BE1ogOwZpHpJ0iDjE7j94itaLfdHuLQ7JAKNHSt9zwN5KhnfYHzFecWByLfspz3lo5DXsQWmtyrLv22ywAuBzz/lqOQdm1ElUDoQOQVfODu6ZDbY3hl4cJQds0zREvMUHeBcNDu29KnGi88kSgSIABEgAkSACOhHwNwxKV0C6MzMmHTqTOp1plWsWFGdgp2pjf7o0SPMnj0bt27FfhdPKu36jx8/1AF4JiDPNCaQ3bFjR3Uw/vz58+p07ZGRkeqfr1y5ggoVKugHFUC7du1w6NAhtW7NmjXVOs+fP0e3bt3g7++v/u/GjRvZXfAUQNcbNQ1MKwTMfbFKK5xpnkSACKRdAg/f/UDDhX5aAG5ObIis6SVan808fh+rLz5mP6OHPannnLn78huaL/NHI+F1rJEs5CaWuQAw9A4/E71/GNjZldWO28HHfBDm7QprcSI1JPnxhlR1IBD84itaLr+M1sJLWCiJTROmbjlKA55XdFAwYpcP4cBy7ZRhxaN8IYMED6a7QmpF548RaestVWLicWwSTEE1YRin0XQe4NhXb02jDvz0CFiqHUhjzqPJrSujc7X8RjVFYroTOHj7FTLs7YL6mi9eNJgC1OJeutJdjYee7+4BK2Pr/8W1IlFbcGKYC4raZ+TBIEnqQ+Bc2Dv863sJodZcmQa1zpBgIIsJ0mWvcgbecvdQzG7jX6U7YXlnEwTv9QFGY5IlEPLqG5ot9UcOfME164Ha/QcFAdn/3NGl1enkeCBgGfvREaUTBkUPRu5M1rgytn6y9qkDESACRIAIEAEiYDoC5o5J6RpAV6lU6Nu3LzZs2JAonD59+mDNmjUQCoWJ9omIiEDTpk3x8OHDBPvY2tpi69ataNaM28igz2ow6dqdnZ2xa9cureHM7vZevXqpbXTp0gWbN29WB9EpgK4PZRqTpgiY+2KVpmDTZIkAEUiTBJgH1UN23Gbnbm8rxdVxf6a2PHb3DTy33mT7ZbIR4/akhgnWxkmTIP/iSV8M/4AeG67hH9F5zBGv5WaSuyLgoX9qpiSRPAsANnI7hSNjrFFGFnvD7z/aBXmzpPuLiaZO1wMefUKntYHoIzqGieL/uEkWqg30OGzaSf/+CswuoGWzlmwxXsbY4eq4+rC3tTatP2TtDwLRShWKjj+O45IxKCnUyGTReg1QvoNlEPv1GZijXY/YMWo5ero6wbOug2X4mAa92Hn9OfId6oAaonvc7JvMAar1swwaP94C87Uz8FSMWoVVHo1QrXA2y/CRvMDuoBdYvPcM/KVDtWmMfQlITfCiw3/tgIjY3cpMmxPdAbcL9sa2vk60On8pgTP33sF9cxDqC29gvWQ+NwtJRmDMcyCJh9LqztfXA0eHs+NCVAXRTO6j/vnetMZIJ+GhZNJfyprcJgJEgAgQASJgbgLmjknpGkCP43Ts2DF1kJzx++PHj8iePbu6Tnm/fv3QpEkTnXD+/PlTXSN99+7dYALqTFr1fPnyqQPrQ4YMQYEC2s9gdBKN10kqlWLEiBGYMWPGH8OZcjnu7u7qHeidOnXCli1b4O3tTTXQ9QFNY9IOAXNfrNIOaZopESACaZXArONhWHXxETv9usXt4NvL8Q8cr77+Rs1Z57Q+vzCiLgpmT59W0aWaece9ROEhOoxx4u3cvIrUA7rt52eeHyOAZZW1tON2EB8YWBMV8mXmxy6p6k2A2c3X2zcII612YKDVIU6ndGugva/eunoNjIkBptsDShk7vLVsKm7FFMXxIc4omctWL1kaZDwCcalu/aWDkVfwkRPutAMortsXeON5k4gSU6d4Wlatgw1lc+DiXBvjmpbk3TwZSJiA7+UnKH+yHSoKI7gOLZYClbpbBrLoKGCGvZYvLrL5GN2lGVzL5LQMH8kLrL74CEdOHMNh6QSOhlAMTPwACAT8EzowELjNvWy2UdEYu+z+Vf+NovZ3EtgS+AwTD4RgmNVuDLHSuD8u6Az0PJL8pB6dB7a0Yvv9iLFBWdk6AAIc+bcWyuTJlLwG9SACRIAIEAEiQARMQoBiUvxgZoLwjRo1wtq1Gpt34pnq3bs3fH190aFDBzg4OKhTyCuVGiWZ+HHNbKqCGObVAWpEQE8CdLHSExwNIwJEgAjoSKDnxmu48OAD23tA3SIY7Vrij9HMn3Omnu3HSDl7bHHHCmhZIY+OlqibpRJgghVTDt/DaKvtGGClsZO4TDug3Xp+3P79BZitnUK1RtQSvEZ2rO9RBfVLagcn+HGCVFNC4OidNxi47SZmWq1FJ6vz3NCqfQG3eSmRMk7fhWWBb9zOZg/5MJxSVcU292qo4ZDdODZIRW8Czz79RJ25F3Bb2heZBT85nZ5HgYK19NY1+sCZ+QDZd1a2vWwSClVugDntyhvdFAnqRmDlhUeoe64lSgpfcAPargfKttNNwBS9ZuQCon+xlpgXeP5p3QadHCn1vynw62KDKT0Udmk/Nklmc90z5ARGPNBluOF9zkwF/BewOky67hnpRiGAUnUbztZMCnNPhmH5+UfYKJ4NF1Ew50WNwUAj7+S9+vIMWFxOq1/lqJX4hEyg71TJ46MeRIAIEAEiQARMSYBiUvzQbty4MZ48ecLWW0/ICvP8mUk7zwTRM2bMqK6/TgF0ftaDVFMBAbpYpYJFpCkQASJg0QSq+ZzBu+/cLs6kHuD09r2Oc2Hv2fn0qVUIE5uVsuj5kXPJE1h4OhyLzz6Ej9VadNYMjDp6AE3nJi+gTw/m/Urv7IBKwY5uJpuOkJjCmN22LDpUpSCEPlj5HMOkwx255w7WiOejkegGZ6ruWKDuGD5NJ6y9tj7wKog9Nj66N7YqG2BZ54poVi636f0hi1oE7r78hubLLiFC2g1WAhV3rN8lIJd2AMGs6BaVBb5yL2K4y70gLNEUa7pXMatbadn4gtPhaHOpGQoK33EYOm4DSrhZDpYFpYDvr1h/espHomrDjhjoQqn/LWWRRu4OhvzWDiyWrOBcylEK8AwwjYuBq4ATo1lbV1Ul0CNmCsK8LSQDh2kopCorw3fdxr6bLxEkHYDsAu7FK7TbCJRpk/xcmawnM3ICSu5l5DayKbgZUwyD6xfF8IbFktegHkSACBABIkAEiIBJCFBMih/MixYtwvDhw3Hp0iXUrFkzUSNMEJ3Zib5p0yZ16VAKoPOzHqSaCgjQxSoVLCJNgQgQAYslEJdiV9PB08Nqo6h9wrUhF50Jx6IzD9nuVQtmwe7+NSx2fuSYbgQmHwzBpoBnWCleiCai69ygOqMBl3G6iejTa15xIPItO7KnfBQuqCpgZOPiFITQhyfPY7YEPMXEg6HYLZmCqsJwzlrTeYBjX56tJyC/vTPw4Ch7YJGiDRYp2sG7ZWl0q66d3cD0zpHFKxEf4b7uIu5Z99aGMSQYyGJB67PKGXh7h/XRS94fL/K3wq7+1WkRzUTA59h99LnqCnvBV84DppwIU1bEUtrKmsC7ENabYfIByFajOybQS4WWskLo43sd+R9uwmTxFs4nXVNtG2MWIfuAPb1YpceqnKgnX4D701xhIxEZwwJpmJhA57WBePDoMW5YD9C2PPgWkLWwbt4sqwp85O6hhsv7Y5+qNtzK5cLyzpV006BeRIAIEAEiQASIAO8EKCbFD+LXr19j6dKlqFatGlq14krbJGSNCaJPnToVz549U9dFT62NUrin1pU10bzoYmUi0GSGCBCBNEmACXB0XneVnbvESoh7UxvDSiRMkMf5sPfo5csFWK3FQoRMSbx/moT6F0763+23cDj4NXZIvOEkvM/NwHU24NSfvxnFC0DEPUTsVbMgJjcvzZ9dUtaLAFNPdubxMJyVeKGI8A2noevOK72sJjHoyDAgaAPbYZuiHsYp3DGsQTEMaVDU2NZIL4UEToS8xeT/TuOq9SDtkaOeAOm0646nUNq43Tc1B574sZrTorvBP3t7nBpWx7h2SE1nAkyN4ZG3GsJWwKVIR++TQH4nnTV47+jbDHh6iTUzNbobvpfvi/n/UOp/3tnraKDV8stwebNWu1Z1yRZAB42Auo5aenV7ehnwbcoO/R5jg3Ky9bgyph5yZ7bRS5IGmZdAvXkXYPMpFEelGi+XCoTAxI+AUMeXIrZ1AMJPsBNZrGiNhYr2KJ3bFkcHO5t3gmSdCBABIkAEiAARYAlQTIpOBlMRoAC6qUinUjt0sUqlC0vTIgJEwCIIrLv0GNOPcgHTMnlsceTfxB/efIqUofL0M1q+Hx/ijJK5bC1iPuSEfgS6rb+KSw8/4rhktHbN2TZrgXL/6Ceqy6jNLYHHF9ie06O7YJ3SDc3L58bSThV1UaA+JiQQl4Hij5rWPQ4DhWqb0JP/mzo/E7g4i7V7QlkV/aOHoWeNgpjSgl7AMP2CaFtkUv6v3nsMZ6SjtA9M/ASIrMztHmd/Zzfg/iH2ZyaY8Z9NV1wf38ByfExjnozYHQyfEBdIBEpu5v38gFwWFJz+47xpg2AHT2zoWTWNrZblTrf2nPPo+30Zullp3LdW7gU0X2Qap9+HASuqadlyiNqMg4PronTuTKbxgawYjQCzA6rUpJNwUgZho0SjvFHGXIBXmO52TowFArmyAgeVNTAkehByZJTiGv3d0Z0j9SQCRIAIEAEiwDMBiknxDJjkWQIUQKeTwSACdLEyCB8NJgJEgAgkScBrVzD23nzJ9mlfOS/mtk/6AXXNWefw6utvdgzVq/77T7JmSy8h5NV3BEoHIqfgCzehLnuAog35m+CePkDIHlZ/laI5Zik6oXrhbNjuYUE7Dfkj8Fcpzzx2H+v9whFh3V3b7wEBgH0p08/l6mrgOBecZerLdpBPQovyubGEXsAw/XrEs7je/wmOHj2AfdIp3BFxemD8a7P7puXAocHAzU3sR76KRvCJ6Y0H013VtdaomZ7Av1uvYenDeH97BgUB2S0os0QC582BXENxYGDidfxMTzJtWyw7+SRmqhagmSiQA+HsBdSfZBowP94B87VrWleOWokl7o1Q0yG7aXwgK0Yj8O1XNMpPO4VOorOYKV7P6eauBHic193OtbXAsRFs/2BVYbSUT4dIKED49Cbq/1IjAkSACBABIkAEzE+AYlLmX4O04gEF0NPKSvM0T7pY8QSWZIkAESACANyWXELo6+8si4nNSqFPrUJJshm49SaO3uXSN3eulh8+rcsSz7+YQOxLEb/wQNoTUkE0NxP3c0DeyvzN7Pho4OoqVn+Xog5GKfqhmH0GSp/MH3W9lScdDMGxgDsIil/70yscyGivt67eA+/uAfb2YYeHq/KgkXwunItmx5Y+2rv+9LZBA/UmwGQsuHVuDzZJZnMaKd2pp7f1FAw8PQm4vJgdsF9ZE8OiB+LetMZIJ7GgnfIpmNLf3tVzwwWseN5SexrDQoFMeS1naqcnA5e5ncwHlDWw0HYULo50sRwf07AnMoUSxSecwFbxDNQUhXIkGvsA1QeahoxCDky307JVXzYXQzs2U2faofZ3EQh7+x2uiy5hqNUeDLXaxzlf3A3otE33yUScAf5ry/b/HpMO5WRrAQgQNKEBsmeQ6q5FPYkAESACRIAIEAHeCFBMije0KRL+/Pkzvn37hkyZMiFrVgsqBZeiWSTdmQLoRoSZFqXoYpUWV53mTASIgCkIRCtVKD3pJORKFWtuW99qqFEk6V0xcXWQ4wYll/bdFHMhG4YRKDXpBFTyXwiz7qUtNPgWkLWwYeJJjfabC5ybzvY4q6yIPtEjkT2DBEETeNz5zt+MUrUyk1b5zs0AnJKO1p4nU/tTJDb93B+dA7a0Zu1+iLFFVdkqqiNq+pVI0KL3kXt4d2UblkmWcsezFwcGXbMQD//vxqUFwNmprE/nlBXQO3oULo+phzxUp9gsa9V/5TGsetdJ2/aoJ0A6C3pg4r8IODOZ9fGCsjwGi8bjzpTGZmFGRrUJvP0WBaeZZ3FMMhalhM+4g61WARXinVt8wvPJA8gjWQttZZPRqkUbdKtekE+rpM0DgfMP3qPXxuvwsVqLzlYaO86r9AGaLdDd4ufHwBLtMkUVolbjKzKCymLpjpF6EgEiQASIABHgmwDFpPgmnLT+3r17MXHiRDx48IDtaGtri3LlyqFChQrsvzJlykAsNsPzKCPioQC6EWGmRSm6WKXFVac5EwEiYAoC4e9+oNFCPy1TtyY2RJb0kiTNBzz6hE5ruXSYVkIBQqY2hrVYZAq3yYaRCcTt0sqFTwiw/ldbffRTwCaLkS1qyAVtBI4MZT+4rSqCVnJviEWxaSwpfTJ/6PVRZrJPfA49g+2SGdxw68zAGI3ghD7C+o55fRtYU4cdrYgRwkG2Bbkz2eDK2Pr6qtI4IxEYtScYwlubMUu8jlPMWxVw16hHbCRbBskEbQCODGMlbqoc0EY+DUcH16I6xQaB1X9wvyV7sPozl11CrTTuDSBJp7+osUfe2AQcHqzx96swWsmn4+GMJhCLhMa2RnopJBD6+hvclvgjQDoIuQSfudGddwPFGqVQzYDuC8sC356zAn3kXihfvxMG17egcgQGTC8tDd1+7TnG7ruL9eK5qC+6xU3dZQJQZ6TuKJQKYIY9oFKwY1rJpuF2jAO29HGEc1HtrAW6C1NPIkAEiAARIAJEwJgEKCZlTJop0zp06BBatWqlfiYYExPzx2DNZ4VWVlYoUaKEVlDdxeXvygpGAfSUnR/UOx4BuljRKUEEiAAR4IfAwduvMGTHbVY8p601AsclH3SKlClQdspJaN7D7POsgUr5eQy08oOAVAG8+x6Faj5nUUrwFMek4zgmAiEw8RMg5DEQcP8IsLMLa/O5yg615bGplEOnNkZ6KaVPtqSTtLfvddiEH8JyyRLOrWwOwL83zOPm1xfAojJatstFrYVcnBFh3k3M4xNZZQkM+O8G8t5fh/FijdS2ReoB3fZbFqXQ/cDunqxPj1S5UF8+H1vdq1GdYjOtVL/5W7D6xyBt65O+8Pv3KKVzvX8Y2NmVHfVUZY+68oW4Pr4B7DJSCuaU4jR2f/+HH9F1fSDCpD1hrVWa5iyQt4qxzSWut8oZeHuHPT4iuh8yOvXA5OalTecDWTIKgQWnw7Hk7EMckYxDGeFTTrPFMqBSt5TZWFIJ+PyIHTNE7omDqlpY8E95tKlkQaUqUjYr6k0EiAARIAJEIFURoJiU+ZbTyckJ167FZq5r3bo1GjRoAJVKhYiICAQHB6v/ffnyRcvBuKA681+FgntR0Xyz0N0yBdB1Z0U9EyBAFys6LYgAESAC/BCYefw+Vl98zIq7FLfDxl6OOhlrsOAiIt5zKSmnNC+FnjWTrp2ukzB1MjmBuJqO1YWh2juL02UDRnHnBy+OPQ8ENnDpbn/GSFFatlFt6sqYeshN6ZN5wa6vaMc1AXB4thPTxbFrpG75qgF9Tukradg4+S/AJ5eWRh3ZAjyLyYn701xhI6GsGIYBNmx0l3WBqPZ0JQZbHeCESrUC/tlkmLCxRz86D2xpxarGlQJY3rkS3Mppn1/GNk16CRPoN2s1wc4f6wAAIABJREFUVkeNYg8qRdYQTXxnWbie+gO+bqxPX2PSo4JsLc551UFhuwyW5Wsa9IZ5SXTMjkDct+6tPXu+S9PEZ72pBfDkIvupd3QXfCrbF4s6aqfwToNL9NdNeeTuYOy+8RLXpf1hJ/jO+d91L+DQIGXz+a8dEHGaHbMwui0WK9tibJMS6FenSMq0qDcRIAJEgAgQASLACwGKSfGCVSfRdOnSQSaTwdPTE0uXapSE0xj94sUL3L59W/2PCagz/33y5Im6h1Kp1MmOpXSiALqlrMRf6gddrP7ShSO3iQARsHgCPTZcw8XwD6yfnnWLYJRrCZ38Hr7rNvbdfMX2bVMxDxZ0qKDTWOpkWQTiUvI3FQZihal3Fn96BCytpAWkRNRGREGKY4OdUSq3rWXBSuPetFx+GXVfr8cw8V6ORHE3oJPGDmNTM5puDyiiWKutZVNxK6Yo1a829TokYK/FMn+0frsEvaxOckcrdQdaJPwF2Gwuv74FrKnLmpfHiFBMthmz2pRDR8f8ZnMrLRvu770Iq5RcffFoaRaIx2rs+LQEOO9CgZU1WE9UMQJ1CYm9nrVQkTLymH2FNl5+grWH/XDFmkuzr3Zq9DPAJrPp/GOyWzBZLv7flila4nrhQdjUW7cXVk3nKFlKjkC39VcR8PAtIqy7a3cdcAWwT2FGgWOj8D/2zgOqqaSL43+SQLB3dO29ghU7YhfE3gvWtWFXFHsXsPcK9u5a195BQRe7YhfFgrp2V8VCQsp3Jny8lyBgAikPuHOOZ5e8mXvv/GYy7+XdmXtx2Y+Ts0/pBM/oQejrVASTmpf9nSl0nQgQASJABIgAETADAfJJmQFyAipy5cqFT58+4dy5c3ByctLbkMjISNy6dQu1a9fWu40QKpIDXQijkIJtoMUqBQ8emU4EiICgCVTzOY13kTLOxqVdKqFlhbx62bw55BmmHLjL1S2WKwPOjOIdEHoJoUqCIHD09msM2nYd7uLT8LFez9uUvxrQlz8dYxJjf34G5hTSEV07agleIRe296uOWsVymkQtCU0agSaLzsH94zL0lGjNC0s7RBeWBb7ym3l6y70QqKqEw0OdYJ8vS9I6Sq2MQqD+/LMY8mU+2omDeXk1hwAuPkaRbzQhn54CS3U3gJWNWo+RbpXQz7mo0dSQIP0JDJo2Cysxm2sgy5AXUq/7+gswR82v/wILy+hoqhDlj6V/NkDdkpTD2BxDkJiOBScfIiDwFI5IJ/LVrMTAlI+AlZX5zDs8ErjKP1ttVTTE7jyeODBE/xeB5jOWNCVGgEXf+v7uOUJsh+pWG/MUSJ/dMHgXVwPHx3JtbqiKo418BlpVzIslFJ3AMJZUmwgQASJABIiAiQiQT8pEYPUQ6+zsjAsXLuD8+fOoWbOmHi1SdhVyoKfs8bO49bRYWXwIyAAiQARSIYGP32So4n1ap2enPZ1R3C7Tr71VRgOPTgL/PQPs2wOZcuPmi89oveICV5e9iwyd2gSZba1TIa3U3aVtl55j4v47GCT+G2Osd/GdLeECuGv9bQoMajUwMxegiuakt5B547a6KFZ3qwxXewqfbArsSZVZZ24AxkbOQXPxRV6EkyfQiD8pmlTZSW632gl4c5trPkrugb0qZ2z+sxqcyYmVZKzGaOjofQq+slloIr7Gi6s/EajLh+Y2hp5ky4hnI0/NqGVo36A6RjUplWzxJMBwAkMnTcUyyWKuoSxLMUhHXjdckClbRP8EfPLoaGApJEZ3booWem5GNKV5aV32hP23EXHlCLbazOJRZMgFeD02L5ozM4Hg+ZzOw8oamJtpHILG1DevHaQt2QTsp55AcfkD/C2dwssS2wCT3hm+KSPsJLC9AyfnkzojKsv8UatYDmzvVyPZtpIAIkAEiAARIAJEIPkEyCeVfIZJlbBu3Tr069cP3t7emDBhQlLFpJh25EBPMUMlTENpsRLmuJBVRIAIpGwCFx5/gPvaS1wnpBIR7k53gUQs0u3YpyfA3r7Aq/87QLIWAgZfhszKGuWmnIBCpebq7xtUC5UpbGmKmxgrAh9j3omHmCjZin6So7z9FboAbVabvj8LSgORrzk9veRjcFZVEbPbOlD4ZNPTN0gDc4gukU1FbTEffQJNfIBaQwySY9TKcfLLeke7Y62yGZZ0rohWFfMZVRUJM4xAyUnHsMlqBmqK7/ENXecANTwME2Tq2ioVMIOdHuTvZ66y2ahR0xnTWhoYltfUtqYB+dFKFcZMnoBFNqu43kbltIftEH7TnmAwxEkh0Vo2Ax1at4Z7dd3IKoKxNw0ZMnDrNVjf24elNsv5XucqDQzmn33NguOf5cBJ/hT8eWU5DBRNxe3pLmZRT0qMQyAyKhoO007CRXQFfjaLeKFZCwIj+E18emuLJ4VR+Sh/5LbLg1OedfUWQxWJABEgAkSACBAB0xEgn5Tp2P5OslwuR/Xq1fHy5Uvcvn0befLoblz+XfuUdp0c6CltxARmLy1WAhsQMocIEIFUQWBt8BN4H+HDoTrky4JDQ7XCSbKTwaE7gaOjAfk33T633wDYt0Xt2QF49fknd82/exU0KZe6H2pSxeDH6YT34XtYe/4p5luvRntxEH+1xmDA1df0XV7lBLz99QTxuKal4VG3mOn1kwa9CZSbchx7MBplRC/4Nm38gAqd9ZZh9Iq7ewN393FiVyhaYp6iM6a2KIvetYsYXR0J1I9AVLQSpScfx2GbCbAXaeWubr0KqNhVPyHmrDW7EBD1mdPYSTYZ+So2wsJOuqHdzWlSWtXFHFWzZo6Fr/U6DoEsbzVI+5s4pUhSgC8oA0T+y7VkG8CqN+mMgfXo3pUUnMZs09EvBKUjdmCG9SZebMFawJ/HjKnm97Jubgf+HsjVu6MqjOZyXzzyaQrruJtWfy+NaliIwKO3kWi8KAg9xCd051SBGkCfE4ZbpZDHRLBQK7m2LALTi3SlcHNKE8PlUQsiQASIABEgAkTA6ATIJ2V0pAYJDAsLQ926dZEjRw7s2rULZcuWNah9SqpMDvSUNFoCtJUWKwEOCplEBIhAiifguesm9l3n8wZ3dMyPue0rxPSLhbM94gnc2Rt/P2sNA5rMRKsVFxD6gnc4+LSxp1NXKXBmjNoVir3XX2KN9Xw0FmuFyK0/CajrZfoebW4NPAnk9PhEd8UaZXON85w50akIg4BarUbRCUdxyWYQ7Kz47z3c9wIlGlnOyCOjgStrOP3bFfUxQdEPwxoUhyeF37bYuLyPlKGqz2mctRmJwqK3vB2dtgFlmlvMrgQVL6kQk6bk/2WAfCSUpZpjbU9H4dmayi16FxkFv9mjMNl6K9fT6EL1YN37gPB6vrIW8I6PyDFcPgh5nXtirCvduyw9WCxfdfNPGzFCwm+wQunmQOdt5jXt4TFgB7/J7KU6J5xkS3FlYiPkyiQ1ry2kLckEgsLeo8f6y/CS7MRgyUFeTtnWQEetTRqGaIhz3xkqH4JDqlp46O0KqURsiCSqSwSIABEgAkSACJiAAPmkTADVQJH3799H7dq1IZPJMGTIEHTs2BFVqlQxUIrwq5MDXfhjJGgLabES9PCQcUSACKRQAm5LgnHv9VfOeu605vMQYF9/4EtEwj0r4gz0PIS+m67g9P13XL2RjUpieKMSKZRI2jX7z41XEPDgHfbYTIOjKIwH0WwBULWv6cGwFAG3d3N6ViuaY7aiK7pUK4hZbR1Mr5806EUg9kTxQ2kPSK0UfJt+AUA+C/6ACfQFzs3h7DmmrIqB0SPRrUZBeLem+aPX4Jqg0pP339BgwTlckw5ADqtIXkOPg0BRAYan9a8H/HuDs9Mruj8iCrbFXwNqmoAOiUyMQMTHH/hr4XB4We/iqilLukHcdYfwwG1oBjw/zz9LRfeEwrEffNrQ2mPpwao88xSGyfzRS3KSN6VyD6DlMvOaFnERWM+Ha/+mtoW9bD1OjXRGidyZzGsLaUsygV1XXmDM3lu/RmuqPhBoOjtpcre0AcIDuLbzoztgubIN/hnXAHmzpkuaTGpFBIgAESACRIAIGI0A+aSMhjJJglj+c19fX43znB3osLKy0sjJlSsXKlasqPlXqVIlzX9LlizJXU+SMgs3Ige6hQcgpaunxSqljyDZTwSIgNAIsPyiLH+5XKniTNvRrwZqKq/FnJLRCicYr+3SLMC45xi37zZ2XuFDOXevUQgzW9sLrbtkz28ItFl5ATciPuOMzSgUE/G5yPH/UP0mB3hsHHCJz3W7W+EML4UH3BzyYKW7BR2zJu94ylLw33c5HGceR7htd13DB18GcpWyXGcu+QHHxnD6L6lKo5N8Cpo5/IEV7pUtZ1ca18yik7RacR5h0h6wseJD1KL/WSBvJeHRiRMJwzvaHRfsuuDY8DrCszWVW/TwTSROLR+MIRL+xLnavj2s2vMh3QWDYKc78OAwZ86i6HZ4Yj8Uy7oIcI4LBprpDVGq1Cgx8SgWS5ahpTiEV+g0Emg0zfQGaGt4HwasqKqjs0TUZmzt74TqRXOY1xbSlmQCS04/wqLTYdhsPQvOYq2c542mA04jkib3yCjgylqu7R6lM0ZHe+DA4NqoUCBr0mRSKyJABIgAESACRMBoBMgnZTSUBgvasGED+vTpk2C7WGd6bIV06dKhfPnynGO9f//+Buu0ZANyoFuSfirQTYtVKhhE6gIRIAKCIsBeTrss1sp1DSB0ShNk2d0WeKr7OWyzAPUmAMfH6vZh6HXMv6rA8sDH3Oeu5fJgdXdyeApqsPUwpv78s3j64TuuSj2Q04qPSoDufwPF6ushIZlVguYDATM5IWeUldAn2gu1iuXA9n41kimcmhuLwKvPP+E6+zBu28aJSjDiDpC1gLHUGC7n1m5gH29TmCofmsjnoWbRHNjRn+aP4UCN0+L8ow/osy4YD217/XLvQA4B5ofe3Qu4u5+zdZmiNf7K1BPnxzYwDhCSojeBmy8+45qfB/pItHJVV+oOtFqutwyzVTwwBLixhVO3QeGCs0VHY9Of1cxmAin6lcCn73KwE+i/ODsbzwRqDzMvsm/vgfnFdXRWjVqJmd0awtU+j3ltIW1JJjB+3y3suPwCJ2zGoJToJS+n7RqgfMekyQ1ZAZyYwLW9oiqJDvJpWNvDEY3K5k6aTGpFBIgAESACRIAIGI0A+aSMhtJgQZUrV8bNmzchlUoxatQoNGzYEGKxGI8ePUJoaChu3Lih+e+3b990ZDPHOvunUGhFTTRYu/kbkAPd/MxTlUZarFLVcFJniAAREACBv2+8woi/bnKW5M1iqwkXiDmFgKgvvIWFagNt/YHM+YD5JYDv7/lr7ddj09cqmHqQz/3pWCgb9gysJYAekgmGEKg44yQ+/5DjsbQ7JFZ8VAIMCAL+qGCIqKTVvbYRODSca3tTVRSt5d4olzczjgyj059Jg2r8Vo/ffUOXhX/jiu1gXeFjngLpsxtfob4SH58Btrblar9XZ0FV2SqUzpMJx0c46yuF6hmZwNHbrzF1WwCu2A7SlewVDmTIaWRtRhB3aARwbQMnaIuiEeZJ+uPWND70shG0kAg9CISEf8TTDX3RVcKHNka1AYDbXD1am7nKycnAP0s5pfuVtbH5j4nYP6i2mQ0hddoEHr+LRKOFQThsMwH2omf8pVYrgUru5oWlVAAzdU+aN5LNRd82TdG5WkHz2kLakkyg14bLOPvwPUKlfZHF6gcvp+chgKW2Skq5dxDYxUf1iVDlgrN8iSZ9EUtjRIUIEAEiQASIABGwLAHySVmOf6ZMmfDjxw9Mnz4dkyZNStCQx48fa5zpzNke+983b95ApdJ6t2m5buitmRzoeqOiivERoMWK5gURIAJEwLgEZh29D7+gJ5zQBqXtsL7NH8CicrqKRtwGsv7/Bc7W9sDjU/z1WkNxJM9gDN5+nfuscI70OOtlhhPLxsWRpqWxMKfFJx5FJvV33LLtF2f8zXSy+MERYGdXTvcLVS7UkS9BvqzpcIFt7KAiCAK3X37BkBV7cE7qqWvPxLeAta3lbPz3JuDP59RWqEUoLtsCu0y2uDyxkeXsSuOa/7oSAb99JxAgHa1LYtJ7QGIjPDqnpwPnF3J2HVTWxAjFUDz2cYNIFJNrjYp5CAQ+eIf/tvVGWzGfWxy1RwCNp5vHAEO0nF8EnOZDggcqK8A76wycGVXPEClU18gELj35iE7+F3FeOgz5rT7w0rvsBEo1NbI2PcTNKgDI+Ag/HWRT0MClNQbWE2A0Dj26kxaruC4OwrM3H/DAtrdu94dcBXKWSBqSiIvAen6T1g+1FGVlG+DZuCSGNUyizKRZQq2IABEgAkSACBCBeAiQT8py0yJPnjx4//49QkJCUK2aYdG93r17Bzs7O8sZnwTN5EBPAjRqwhOgxYpmAxEgAkTAuAT6brqK0/ffckIH1SuGMUUjgO0deEXSzMC4CMDq/46DAB8gSOv0V+E6uOS8SfOCMrZklEpwZzqd1jPuaJlWWmyY0wJWbxEsHamrbPwrQJrRtAYw6RGXgPVNOD2xLxBpPpkevSEaLj/9hKn+O3FMOl6rmRUw9T9+nTBEoLHqfo4AFjvoSCsftQY/xRkR5t1UE76LivkJrA1+gkNHD+GAdAqvXGILTOLvPea3KhGNF5YAp3hbzynLo2f0ONye1gSZbK0FZWpqN4ZFL7Da1R1NxVf4rrJUMvXipJIRAog4EVRuqIqjn80cXJ1Em3csOTzHbr/GwG3XcU/aG+mtZLwpfU4BBQx7AWeUfrB7FLtX/b/0k3uiiFNHTHArYxTxJMT0BMpPO4GsslcI+uVZ+SUgzZQ0Az6GA8sq67QtG7Ue7WqUwszW9kmTSa2IABEgAkSACBABoxEgn5TRUBosyNXVFadOncKZM2dQr17q35xMDnSDpwg10CZAixXNByJABIiAcQm0XH4et17yodp92zigq3wPcEbrdFeBGkCfE7ziOKeEIc2M8D530XBhsI5x92e4Ip2N2LgGkzSTEQh//w0NF5xDeatwHJRO5vWIbYBJ78zjGI3nBWKZqPX4CVs88mkKa7HIZP0nwfoTOPvwHZZu3IZ9Uv60JWwyAhNe6S/EFDXl3wHfvDqSnWWLEKHOrdnQwzZiUDE/gYWnwnA9cB+22szilWewA7wemd8YfTRe2wQc4nMj31QVQ2v5TE16k7xZ0+kjgeoYicDeay+R4++uqCcO5SVaIne1Pv25dwDY1YOr+USVB66qxZrNO1QsR2DbpeeYsf86Htr20jViyDUgp24+crNY6VcXeM2nTvKK7g9U7IZ5HcyQJscsHUzdSr7LFCg39QSqWj3AbukMvrPJfQaSRQKz8uvAqyNbhHJlK2B19yqpGyr1jggQASJABIhACiBAPinLDdKuXbvQuXNneHp6Yv78+ZYzxEyayYFuJtCpVQ0tVql1ZKlfRIAIWIpADd8zePM1ilO/tocjGt2fCNzezZvk+CfQfBH/99d/gYW6J2W+9b8E+6XhOt0IHlMfBbKnt1TXSK+BBK49/4R2q0JQVxSKTTZz+NYZ8wCjHxooLYnVo74As3VzPTrJluClOheuTWqEHBmlSRRMzYxJ4Pid19i6fZPwHKJqNeCTB1Dwa1pr2QzcVBcHrUfGnAGGyZp+6C5eh+zCapvFfMMcxYGh1wwTZK7acRyhT1W5UV++CCdGOKNUniSeLjSX7alMz9aLz1HiaEdUFz3ge+Y2H6gWJ82IEPr9NAjY1IKz5JM6IyrL/PFgpitsrWkzoaWGaNmZR9h2KgQXbYfqmjDmKZA+u/nN2twaeBLI6fWJ7oqnJftgbU9H89tCGg0mELvZtIXoHyyzWa51TysBDL1qsDyugeb55Q9A8ZP7qK1sGqwKVsfegbWSLpdaEgEiQASIABEgAkYhQD4po2BMshB2Cj04OBgXL16Eg4Nu1MEkCxVoQ3KgGzgwLE7/5cuXNf/YF5X9+/jxo0ZKz549sXHjRoMkHj9+HP7+/hp5LHdArly5NLkD+vfvDzYR9Sk/fvzAihUrsHv3bjx+/BhyuRwFChRAs2bNMGzYMBQsqPviWx+Z+tahxUpfUlSPCBABIvB7AiqVGiUnHYNCpeYqHxxSG+UPugHv7vICmi0Aqvbl/2YveeaXBL6/49/7tF2LUrsyQq5QcZ/tG1QLlQtm+70hVEMQBE7fe4u+m6+ipegCltqs4G3KVQYYzIfnN6mxbG7NzAWoojk1LWUzcUtdDGdG1UWxXGYII2/SDqYO4fuuv8SxPeuwxobPE41shYHhWqdELdXVBWWAyH857b3lXghUVcKBwbVRoUBWS1mVpvWO2hUKUehWzLP25znkrQz0551IggKUgCN0t0dNVC1sAYeboOCY1xgW/r/qqXaoIHrCK261AqjUzbyG6KPtzW1gtRNXU6m2QnHZFlya2Bh2mWz1kUB1TEBg2sG7uBRyTjfliJUImPwREFkgqs2eP4E7e7merlC0RGC+gdhDTlITjL7xRV54/AHuay+hj/gIJltv4xUUrgP0Opw8hYscgC98eP/+8pF4mK0uznnVT55cak0EiAARIAJEgAgkmwD5pJKNMMkC/vrrL+TPnx+jRo1CeHg41q1bh5YtWyZZntAbkgPdwBFKLFejIQ50tVoNDw8PjfM8ocKc6KtXr040PySbpMxR/vBh/CfRsmTJgu3bt8PNzc3AnupXnRYr/ThRLSJABIiAPgQ+fJPB0fu0TtWLY+ogz/IigErBf977OFCopq7IbR2BR1ph3WsOQe0bDfHqM39ywr97FTQpl0cfU6iOAAjsuvoCY/bcQk/xCUy33sRbVKg20Puo+SyM4wDtJffCWVUlzQmcKoVoQ4b5BiJhTSwk7qUDfrobLezKAYP+sbx5q5yAt7c5OzzlHtincsaG3lVRv5Sd5e1Lgxb033wVBR5uwGTrrXzvi9QFeh4UJo3XtwC/OpxtCrVI4whd36sqGpTOLUybU6lV7PSwy7lWKCnSSg/Rfj1g3054Pf7yElhUTseu8lH+2OfZDMXtaPOXpQZs2I4beH/7FHbY+PAmpM8BjNHalGFO446MAq6s5TRuVzTAumzDcWZU6s/naE7MptK159pLjN4digmSbegvOcKrcegItFuTPLVrGgCv+MgsE6L74G9xE9ybod9Bl+Qpp9ZEgAgQASJABIhAYgTIJ2W5+SESiTh/JfNxMn+pi4sLOnXqpPFBsgPCqamQA93A0dR2oLNT3mXKlMHJkyc1UgxxoE+cOBG+vr6adpUqVcKYMWNQrFgxza6NuXPn4saNG5prrJ63t3e8Vn779g1Vq1bFgwcxIfT69eunyT+QLl06BAYGYtasWWB10qdPj5CQEJQvX97A3v6+Oi1Wv2dENYgAESAC+hK4++8XNFt6nqtuZQU8GloQEn/+BJXm4rgIwDaLrthAX+CcVpjvwnXQ6vt4hL74zNXzaWMP9+qF9DWH6lmYgH9QOHyPPsAIyR6MkOzjrSndHOisdcrG1HayE3zsJN//y+joAdijrIsNvaqifmlygJoavz7y2anQx8dXYLY17wRAPkeg3xl9mpu2zqaWwNNznI6Z0e5Yp2yGhR0roG1l3fyipjWEpMcS6OJ/EdUj/HTXlTItgE5aDnUh4focASzWDQtnH7UW3p1qoXWlfEKyNNXbMvf4A3T5pzkKiN7zfe2yEyglwLzi8u+Ab16dMXGSLcbSga0pGo8FZ2r3dZeQOfwwVtgs5a3Ikcxw28npT4A3EDSPk3BEWQ2Tbcbg+uTGyZFKbc1EYHnAI8w/GYYl1svRSqy1abDWMKDJzORZsb0zEHaMk7Ewuj2WKtvi7nQXZJBKkiebWhMBIkAEiAARIALJIkA+qWThS1Zj5kCPW7R9pnnz5tX4OytWrKj5L/tXuHDhZOm0ZGNyoBtIf+rUqRqnNfuXO3duPHv2DEWKFNFI0deBzsKsM8e7QqGAo6MjgoKCNE7v2MJCstetWxdXr16FRCLROMiZcz1umTZtGqZPn675mDndvby8dKowp7mzs7NGT/369REQEGBgb39fnRar3zOiGkSACBABfQkEPnyH3huucNVzZrTB1Zb/Afu0cotmKQCMvPOryIfHgB2d+c9tMqFf3r049eAD99nIRiUxvFEJfc2hehYmMOf4A6w6G46pkk3oLdGKLlCpO9BKK8+jqe3c0gYI558hfKO7wF/ZAos6VUCbSuQANTV+feSzU6H/BSzBFOstfPUizkDPQ/o0N22d3b2Au/s5HcsVrTBf0QmTmpVB3zpFTaubpMdLoPmyYLR5uwJ9JLxjABW7Aa21UkUIiV3UV2B2AR2LnGRLMKBlPXSvmXJ/iAsJsb62TD90F4OuuiKX1Ve+SY8DQFEBntZlKUhm5ADUSs7WZjJfePXqgHoU/ULfITd6Pbclwaj8bi+8rTfwsgvUAPpoPecYXWsiAkNWAifGcxX+UZZFN8UkPPZxg0hkZU5LSFcSCEzcfxvbLkVgp81M1BDd5yW4zAJqDkqCRK0mB4cC1zdzH2xSNMZURW+cHV0PhXNmSJ5sak0EiAARIAJEgAgkiwD5pJKFL1mN2QHgmzdvIjQ0lPvvixcvdGTGjeLNomTHOtQXLFiQLP3mbkwO9GQST4oDffDgwVi5cqVGM3Ny16hR4xcrLl68iJo1Y8LzDhkyBMuWLdOpEx0dDTs7O3z+/FnjjL9z5w7i2/3BwsT7+flp2jKHfJUqVZLZY93mtFgZFScJIwJEII0T2HXlBcbsvcVRKPtHZhwtexq4sJgnU8IFcN/1K6mvr4GFpXU+n19yG5bf4l/+da9RCDNb26dxyimn++P33cKOyy+w2Ho5Wmufqqk9HGg8w3wd2dsPuM3POT9FM8xSuGNqi7LoXTtmEyEVyxJgmy1EwQvgZa21NpRsCnTdaVnDmPZ4wuNOUPTF4PrF4OWiu2ZZ3ti0YYHz3EAM+boIHSV8ZADUGAS4zhImgAQcoW5NXDC4fnFh2pxKrWL3pYmhjZHRKopfoyHeAAAgAElEQVTvYZ9TQIFqwuzxnCLAz0+cbV3kE9GlUze0rKB7Ml2YxqdOq2r4nkGH79sxynoP38FSbkCXHZbp8M0dwN8enO57qkJwk89C6JQmyJLe2jI2kVa9CfTZeAVnHrxDoM1IFBG95dt12AiUa6O3nHgrnpkJBM/nLrHoBIOjR2C3R01ULZw9ebKpNREgAkSACBABIpAsAuSTShY+ozf+77//dBzqzMF+//59yOVyHV3Msa5U8hucjW6ICQSSAz2ZUA11oLO8ACz0+6tXr1C6dGnNREqosOsst3n+/PkRERGhkwv91KlTaNKkiabp7NmzMXbs2HjFaDviJ0yYAB8frVxjyew7a06LlREgkggiQASIwP8JxIYhjAVSr1QubLSZBzyKSRWiKU6eQKOp8TObXwr49oa7drj4DAy5wzsXmtrnwapuxt1IRYNnOgIeW67h+N032Gg9B/XEobyiRtMAp5GmUxxX8vEJwEX+ZOoepTNGR3tgRKMSGNGopPnsIE0JEph28C5yXp6DIZIDfB2Wk5jlJrZ0CfABguZyVhxTVsXA6JHoUq0gZrXVDcttaVPTiv5KM07CN3oumor5iCeoOw6oz5/CFByLuUWBHx85s5gjtHydFhjftIzgTE3NBo3YcR0LHjSA2ErNd9PjPJBHoN/lJRWB/55ytg6Qj0Sdlr3RrQals7HEPGXvQkpNOo5xVhvxp+Q4b0KlbkArC0XACDsBbO/I2fJKnQO1ZcvolLElJkgSdLKIBvdef8E96Z9IbyXjJfx5Aij460EVg1RcXA0c59+zXVKVRif5FKx0rww3hz8MEkWViQARIAJEgAgQAeMSIJ+UcXmaQhqLin3v3j0dxzo7tf7+vVY6MFMoNrLMFOVA//Dhg8bxzCB//PhRE/acJaVn/4oWLRrvCWwj8/pFnKEO9CdPnnDh2AcMGIDVq1cnaCK77u/vr7nO2sWGimd/T5kyBTNnxuR0SugUO7vGJmrWrFnx/ft3TTj3c+e0TpoYAQ4tVkaASCKIABEgAv8nMOXAHWwOec7x6OiYH3MjugBfX/GM2q0DHNrHz2x7JyCMfyF5t1B3NHvI5yV1LJQNewbWIt4phEBHvxBcfvoJf9tMQkXRE97qFkuBKj3N14vgBcAZ/sR7gLIi/oweg161CmNay3Lms4M0JUhg7J5bKHXTJ45Dwsyh/hOyLs4L6IuqMugsnwzXcnmwujtt6DH3tGYOrBITj2Gj2BtO4ru8ehdfoOZgc5ujv76llYFP4Vz9gfLhyFa1A3zbCNRxq3/PUlTNQZtDsPKJq67NQ68DOX5NNyaIjvnVBV7f5Ezxiu6PIo0HYFA9ilxgifGJjIqGw7STWGS9Am3EF3gTjJGvOqkdenEZWMfnO/+hlqKsbAP2DaqFygWzJVUqtTMTgcozTyH6+2fctu2rq3F4KJAtmSk+7uwF9vzJyQ1X/YGG8gWY3rIcetZKpmwz8SE1RIAIEAEiQARSKwHySZlnZK9du2b0iNbmsdx4WgTtQI+MjMSBAwdw9uxZBAcHg+UOT6hkyJBBEwq9Tp06aNasGSpXrmw8SolIMtSBfuTIETRv3lwjcdGiRRgxYkSC0tl1T09PzXXWzs3NjavboUMH7NkTE/aMhUhgTvKESoUKFXDr1i3NRoN3794ZlQstVkbFScKIABFI4wRiTxzHYhhVxw5DrzTSpTIwBMhdNn5SgbOAc7O5ax9zOqLKy5j7CCuFc6THWa/6aZxyyul+k0XnEPb2G87ZjEAhkdb9u9NWoEwL83Xk2ibg0DBOX6iqKFrJvdGmUj4s6lTRfHaQpgQJDN1xA7XuTkcXSSBfp7oH0HSO5and2g3s419sP1Tlh4t8LqoVyY5dA2LSFVExH4GfciXKTDn+68aclsuByt3NZ4ihmvzrA/9e51qNie6HH+W6YnlX8/zmM9Tc1FrfY20AVr+MExbZ8z6QWaAh0Te1BJ7yG8hnRneDxGkIRS6w0ASN+PgDzvMC44msMx1wSvi9iEnN/fAYWK67matU1Eas6lULDUrnNqlqEp48AlHRSpSefBzFrF7hjNRLV9jEt4C1bfIUPA0GNsW8u2Plqzo9ysvWYkj94hjtUip5sqk1ESACRIAIEAEikCwC5JNKFj69G7OU0Xnz5tX4W1u0aIFGjRrB1jaZz1h6axdGRUE60NnOhiVLlmDv3r2IiorJr8ZOS/yuaCenL1WqFFiu8V69eoE5101VDHWgsxPnAwcO1Jize/dutG+fwClCQOMgZ45yVlg7diI9trDNApcuXdL07du3b4l2jznsmQOeFcZTKpXqjePly5eJ1mX5DNiXh5WgoCA4OjrGW9/GxgZisVhzjeU5iJv/IG4jFl0gtrB87+wkfUKFfZG1+8RkJ5ZLQSKRwNqaz2fGmCQ2v1hd1oYVlUoFmUwrNFg8RjFbYvPRM7uZ/QkVNme1F53f9ZUxZCxjC7OF2ZRQidvXnz9/JjqeNE7x46FxSjg3CX2fEv5KJeX71HblBVyP+MwJXV7zG5rf6M/9rRZZI8rzCUTW0njXPdHjk5Du7cHVV0jSo8Q3f6gh0nyWUSrBnekumnsBrXsxmJIyTua6P1X1PoX33+QIlfZFFqsf/NrfZR9UBWtp7mVmuT89OArs7MLpf6nOCSfZUjiXyAG/rhU0n9P9KeHnVHOMU99NV9Hi8WS0Ev/DPz/VGApF3Yk6i5Qlxkn0JBDS3fz8ea/OgqqyVSiWKwPOjKpHz3vx3EZMOU7vImWou/ACztiMQjHRa35dab0WqlK8o0DbLCE8l9v81QniZ9qOUHc8LtYTq7uUT/TZlp7L48eT1N9PA1Ycht97dx2hP4c/AGx1N3ObY93T515ss78PxGExv4NZWaxoi9cVhmNa84SdX/T7KeGvVHK/T9eefUTndddwwGYSKmhF1pG7LtRs4LHI79wfH5FumW40nWpRKzC2Qz20q5JfA+N3v9GT+n2KJU3P5fycM+S5POLTD7gsu4haojvYbuPLCVHbZkPU8F9TJRo8Tp+fwNpPN3JXyahNaFGpILxb/po+RCjrHj2X0+/c2C+DId8n1kYIz3uxttP3KeF7MY1T/GxM+fuJaaTvU/zcLfm+/OrVq5poy6xcvnwZVatWTfR3IV1MGoFYH1es35X5sRo0aKDxBzKfI3Oup/YiKAc6c5xPmjQJJ0/G5HqNfbn/xx9/aL4EVapUgZ2dHbJnz45s2bKBOQM/ffqkOYEdFhamycfNTlrHOizZwLK6Xl5eGD58uEGOY30H3lAH+rx58zBmzBiN+GPHjsHVNU4IPC3F7HrsqfP58+dj1KhR3NVy5cppcgjkzp0bb97w+W7js7tTp07YtWuX5hILg58jRw59u6eTd/13jebOnYuSJePPhcoiA7CxYIWNGYsokFhp1aoVd5lFHrh7VyvEZJyGbC7ELpjsEpsH//77b4LiixUrBnt7e+76iRMnuI0a8TVimwLy5cunucTmXOz8TEgBy00f+0DDUg6wBT2hwhYdFxcX7vKdO3cQHs6Hp4zbji1K2jcEtmmBzf+ECpsnxYvzIQpZRIfECo1T/HRonOj7xGaGOb5PtWcH4NVnfqPLyj+Ow+2/zdzE/GJbAGfL+GjugfGte9Loz3C9w58UZg0byuYhXB2zhrFyf4YrggJP07r3fx5CXffYM1DxCUcBtRLhtrqnQgNK+yIyXX7NpjWz3J8iLgLr+XtVpDodHGTrUDijGiMdYjbY0P0pZsOnpZ4j3NdeRK/nE9BYfI3/rv/RDmF5+OcpS41Tlh9PUe/hVM6uaLUYJWSbkdEauDOTd9jS8x4/e0z5fXrzA5gVKsEV6UDksvrCKf2n2Bi8z8w/H2vPZSE8lzs+XYZ8n/mc7UsUbRCQpw/+LPAp0Wdbei6PH09Sfz/1X7wL/p/76Qg9VGEdVCJ+czK7aLb7E4DEfj9VjFiHQh/5jRfrFa44nutPuBdOeM02x/NeLMC0tu4duPoEax6IEWQzHAVFfO7DS0WGQ1S2hUV+51qplWh5s7fOnG4im4OObk3Qt05RzedpbZxSyvuIR1+ssPyeGG1FQVhow6dGjP29FHf1M3TdK1kgF8oc5FNhMXk1o5YhW9ZsGFDm10MMQln3LPW8l9jNWAjPEbH20TglPFI0TvGzMeVzOdMo1PcRzDZ6X87PCRqn+L8flnxfznyBsT42cqAn+pM4WReZj+3w4cM4dOgQAgICNL4xVmId6hUrVtQ409k/5rtNjUUwDvTevXtjy5Yt3GlaFoLd3d0d7dq1Q8GCBfVmz04fM6fi9u3bsX//fnz58kUzoEwGk+/k5KS3LH0qGupAZ3nLWf5yVs6cOaPZsZFQYZOyYcOGmsusHdtcEFuYE5jlRS9QoAAiIiISNbVHjx6avrPy4sUL5M8fs5Nan6J9qv939cmBHkOIXtTFP1MM/cFKGx0S/sbRg1v8bCz54BafRYaOU8uWLVFq0nHIlfwLmUN2a+DwlQ/J/CJbLVwv7JGgA12zBt0ZjnTR/Maa4fJBOKDi733BY+rj3pVgcqD/f9AMHSdzvViIzROaHV9x3dZDZ4odt18KmXVW8zko3j8EVlTTsaF41GZktxVjYiVyoAvhxQKLXuH52ksnp/XtfF3xxE53o6YlXgClk39Ak7t8Kgk2kRyi1uI70uGxbzOIRFaauUUOCv4rZspxehYJLLojwQNpT9ha8VGSzpWcis8Z4s9jba51jxFI6PtUIWIdCms5QjcoXLA160AMK/E10Z8o9Fxu3OfyfvM2Ys334ZxQFaxwqOJG9gZFR5FQHBTlXu1A8XfHONv2KJ2xMctg9CuRcEQxcqAn/JVK7vdpW8gT7AgX47a0DzJZ8RtGg0tMhG3J+hZxoLPeNr3lARslH+mnk2wyHOs1h5dLabo/xZkOprw/MVWGPJdfeW+FrY/FGCg+iLHWOzlL32ZywMXicUK6A4n+fopv1hcrWgT2++sDKj4aYguZNz6nL4LR5X+N0CaUdY/1RUjjxOwRwnNE7BjTOCW8xtM4xc+Gvk+W3SgeOyp04Iyfn/S+PIYFOdAT/RlskovMeX769GmNQ51Fu449wBrrP8yTJ49OqHftiBkmMchMQgXjQGfhAFg4jJ49e2pOWid0ktkQLiy8NQuT7uvriwcPHmDatGmc89oQOYnVNdSBntJOoFMId5gvRK4e4eEoJI1lQ+TGrgW/C+NH40TjxOaKoSGeZGoxKs44pXPLuV9oPtK95XO+RtebBEX1IZo0EQmlrrDZ2wPixzGRXFjZoHTD9Ohu3N/7BtVCWbt0FML9/0QMHSdzhUx78ekH6swNRFGrfxEgHa0zL36Oeg5IpOa7P0W+BRboRpipHLUaSJ8DF7zqaGyjdc+y657r4iD4fPJEFdEjbq7IXeZBWVE3eoFFxkn+HekW6TpmnWWLEKHOjdApTZAlfczJ1d/dWw0OvUope+L9CXP+8UcM2nYNj2z5dB+sYlTf81Dn4KMWaTc217qnsSOBFCOSgGmwvsKfMNyrrIM5tiNwzrN2oj/rkhtyOrE0Uhb5PiXSW3OMU3/fVfCXj+OsYKliokc9+cUqoYRelfyzCNbBczj7TiqrYLnddPzVN/60Y6wihXBPeJIl9/u0+lw4lp5+GM/6EwyRXWnLhHAHIPWrDtHn51zHB8hHIkfVdvBt40D3pzjTQUjr3przz7DwzBNMlWxCb8kJfl1y6Ixot8W/TOQkPUcsdQAi+XQnveVeuJehBs7Gc+8RyrpHz+UUwj128gv1d25iz3uxttP3KeF7sTme92K1U4oRfhzo+xT/nKQQ7on+FE31F1k0cXYynTnUr1+PeXedGkO9C8aBzvKVjx8/3qDT0frOQhYGlTnSWV7sLl34HIz6tk+snqEO9JSWA/13jFi49GrVYk6lUbiM39Gi60SACBCBhAmEvY1Ek0VBXAUrqPAkswes5N/4Ru57gBKNE8d4dg5wls8DeNOqLFr/5COY+Hevgibl8tBQCJzArZef0XL5BVS2CsM+6TTeWusMwMSE0yqYpFsKGeBtpyO6gWw+Iqzy4ZFPU4PSvZjEPhKKevMCsSpyGMqItKIStV0DlO9oeTpqNeCdG1DyJz5byWYgVF0cgaProUjODJa3MQ1ZcPjWv5iy/dwvkS0wKgzIlFu4JM7NAwK9OfuYI3Q4xuD+zITTYQm3MynXMo8ZC7FaNZ3rgNw2B2zG/epAF0wPL/kDx/iTqBdVZTAh82wEjK4nGBPTkiGzjt7HvqBruGI7WLfbXuFAhpyWQ+FfH/iX37A6JrofvpXtgpXuqTMMpeVAG1fzlAN3sDnkOVZaL4ab+DIvvM5ooOFk4yhbXQd4c4uT5RXdH/vV9RHm3ZSLoGMcRSSFCBABIkAEiAARMIQA+aQMoWX6uqk51LtgHOimH0bTaDDUgc52ZLCcAKwsWrQII0aMSNAwdt3TMybkJQuLEJsPnf3dvn177N27V3ON5cDOmjVrgnIqVKigyQ2fK1cuvHv3zqggaLEyKk4SRgSIQBomcP7RB3Rbd4kjUDbdJxxVD9El4nkfyJw3cUphJ4DtvNPsp1U6lPu5BiqINO182tjDvXqhNEw6ZXT9XNh79Fx/GQ1F17DOZgFvdJYCwMg75u+ET14g+junt61sGq6rS+LOdBdklErMbw9p1CFQzec0dskGobDoLf95p21AGT7HuEWRLSgDRPIbP3rJvXBWVQl7B9ZClULZLGpaWlO+43IEVu8/hXNS3bD6mPgGsE4nXByX/IBjYzj7mCO0s3yyZhOPtTjm/kbF9AQGTvHBKtFcTpEsY35IR981veKkagj9C9jfn2t9T1UIPWwW4Oqk32xGTKo+apcogdG7Q3HreghOSsdq1bMCJn8AxBZ8ltjSFgg/w9k0K7oLbhXqhR39a9CICphAv81XcereW+y1maoTgQfNFgBV+xrH8q3tgMenOVlzojtjlbIlrk9ujOwZbIyjg6QQASJABIgAESACBhMgn5TByMzWgEWvYKHe2en0hEK9N2/eHIMGDQLzWwq9CMqBzvJzs5zeKakY6kBnectZrgpWBgwYAHYiPaHCrvv7+2sus3ZFihThqrI86iwvOishISGoUSP+H3cs7CBzrn///h3Ozs44d+6cUfHSYmVUnCSMCBCBNExg3/WX8NwVyhHokf0uZvzw4YnYZgXGPvslz+gvyOIJt91QNg/h6nyaqiMblcTwRiXSMOmU0fUDN19h+M6baCcKwgIbrWeFPA6Ax3nzd2JhOeDrS04vC2EZqKqE82PrI3+29Oa3hzTqEHCYegJn0B92Vp/5z7vtA4o3FAapVbWBt/zGj5HygdivqoO1PRzRqKyATz0Lg55RrfA7F45Dx4/isJSPTAKRNTD5/e/vL0a1xEBhoTuB/QO4RswR6iafRU4MAzEmpzqL6jZ00hQst17KiZFlKwnp8CvJEWvatg+PATs6czpeqnOigWI5Hnq7UvQU05KPVzpzeEY+CMROGz6aBNjz7Tg+fLoFzAL29AHu7OFUr1K0wIGc/XF8hLNFzCGl+hFosew8br/6gvPSYchv9YFv1Hk7ULqZfkJ+V2v/QCB0O1drnaIpZiq648QIZ5TKk+l3rek6ESACRIAIEAEiYCIC5JMyEVgTiGWh3tmhYuZQv3HjhialKAv1PnXqVKOn2zaB+RCUA53lOGnVqhWGDRumcfamhGKoA51NkPz584OFNShdujTu37+fYDfLlCmjyd2eL18+sM0FsTkEWIOTJ0/CxcVF03b27NkYO1Z7Fzcv8uLFi6hZs6bmAxYin+WDN2ahxcqYNEkWESACaZnAqrPhmHP8AYdgrt1JdPy6kUdSqDbQ+6h+iOKc9hwhH4S/VU6att1rFMLM1vb6yaFaFiOw4cJTTD90D33ERzDZehtvR5G6QM+D5rdrlRPw9janN3ZOHRnmhHJ5s5jfHtKoQ6D4hKO4Yf0nMln95D//8wRQUCCn5za1AJ7yKSpmRnfDOqUb5rYvj46OKWvzbEqfevNPPMS1cweww0Zrg1b6HMAYAYfhZtAfHAV28qm4XqhyoY58Cc551UOhHJQGwBzzMipaiUnTxmO+tR+nTmZXAdJB/HfbHHYYpOP5P8CGplyTr+r0KC9biwczXWFrLTZIFFVOPoEu/heR5dkxrLbRyk+dvRgwjA+fnnwtSZBw1Au4HHNwgZUdivpYnH4ILk1olARh1MRcBBy9T+Pjt594KO0JGyslr7ZfAJDPSOH3T04G/uE3DR1Q1sLw6CHY2qc6nEpYMO2AuSCTHiJABIgAESACAiVAPinzDIyxDzzHhnpnDnXm/x09erR5OpIMLYJyoItEIs5JbG9vr3Gku7u7w9bWNhldNG1TQx3ozBoWnmDVqlUawxI6Pa7t+Gb1V6xYodMRuVwOOzs7fPnyBczRfvfu3Xh30Xt4eMDPL+YlhylylNNiZdr5RdKJABFIOwSmH7qLDReecR3eb7cGlb4G8gCq9Qfc5ukHZEcX4CHvbF+vcMUMRQ9N26b2ebCqm5FeKulnDdVKAoGFp8Kw9MwjjJb8hSGSA7yEsq2BjpuSIDGZTTY2B54Fc0KmRffARqUrtvetjlrF6QViMukmq7lcoULJSUfxWNodEisVL2tAMPBH+WTJNlrj3b2Au/s5ccsVrTBf0Qnjm5bGgLoxkZmomIfA1AN38PrSHvjbLOIVZisCDL9pHgOSquXZBWCjG9f6izo9KsjW4tAQJzjkp008ScVqSLvPP+SY7zMG3tYbuGbyfDVg0++EIWLMW/ftXWBVLU6nSm2FYrItuDShMewyC/cdg3khmU9b82XBKP9mP3yt1/FK81cF+vIhss1njZamQF/g3Bzug2PKqhiuHoWHMylSgUXGQw+lCqUKJSYdQzb1V1y39dBtoU/KKz10aKr8sww4yUdsuaAsB/foiVjUqQLaVMqvrxSqRwSIABEgAkSACBiZAPmkjAw0AXEp8cCzsckIyoHeoUMHHDhwACzseOxp62zZsqFfv34ap7MQw7snxYEeFhaGcuXKafrp6OiIoKAgpEvH5xz8+fOnZgfG1atXIZFIcO/ePZQo8Wu4Xe0w7nPnzoWXl5fO/GDOeSaH6albty7Onj1r7PkDWqyMjpQEEgEikEYJDN5+HUduveZ6fzXrBOSM4h3qaL4YcOytH51zc4FA/nThZVUpdJRP1bR1LJQNewbyL5P1E0i1zE1gyoE72BzyHN6Sdegm4fNywvFPoLmW48tchv3VDbh/iNO2WNEWixXtsdK9Mtwc/jCXFaQnHgJffkaj6vQjCLPtqXt16HUgh0Cc04c9gau8w2SboiEmKvpgQN2iGN+0DI2rGQl4/nUTVqE74qSGKA948BtkzGiO/qre3AFW1+bqK9VWKC7bgm19a9ImHv0pJqvmv59/YsM8T0y05sMZK4o0gKQnvzkmWQpM0fjLS2BROR3J5aPWYJ9nUxS3o/DLpkCemMx68wLh9nk7xljv4quVdAW6/mVuU3T1XVwNHOcj+oUoy6JL9CTcm+GC9DYWzM1uWSqC1v7xmwxVvE+jjNVzHJOO5221EgGT3gNiI41b6F/A/v6c/Ieq/HCRz8VEtzLo51xU0IzIOCJABIgAESACqZkA+aTMM7op8cCzsckIyoHOOseO8bPT2WvXrsXbt281/WXOdDZYQgjvfv78eTx+/Jgbhw8fPnCO69q1a6Nv3746Y9SrV694x4yFU2eh11mpVKmSJgQ7y40eHh6OOXPmaPIBsJJY2PXIyEiNA5455Fnp378/OnfurHHGBwYGasK1f/v2TfP3P//8g4oVKxp7/pAD3ehESSARIAJplUDH1SG4/OyTpvtSyHE/XR+I1FrhCPucAgpU0w9P2Elgeweu7g+1FPaydVBBhMI50uOsV3395FAtixEYuuMGDoX+i+XWS9BcfIm3o85ooOFk89t1cChwfTOnd4PCBdMVPeHbxgFdqxc0vz2kkSPw5ksUXGYdQKgt/4JXc9HzAZBZIJsbAnyAoLmczUeV1TAoegQ6OubH3PYVaDTNSKDvpqvIH7YJ06z57zMK1wF6HTajFUlQ9TkCWOyg09A+ai3md3OCq71A5nkSupWSmoS//4YDi4fD05rPFa0q1RyiLlppRoTWIVkkMEv3lKiTbAmWeLRElULZhWZtqrfH0fsUPKLWoa/kGN/XCl2BNjHR+SxW4jhJ76sKoKl8Ds6PrY/82dJbzCxSnDABth41XHAO9UQ3sdGGf75AxjzA6IfGQxceAGxpw8n7oM4MR9lq9HcuiglutAHQeKBJEhEgAkSACBABwwiQA90wXkmtnRIPPCe1rwm1E5wDPdbQ6Oho7Nq1SxO6nIUzZyX2VLolw7szh/imTfqHTmU5z+MrKpVKc7J+/fr1CY5pnz594O/vr9k8kFBhznw3Nzc8evQo3iqZM2fGtm3b0Lx5c2PPHY08WqxMgpWEEgEikAYJsFM5zz7+0PS8nNUzHJFO0KUw/iUg1fO01Ld3wHzdyCUNZfMQrs6HjFIJ7kx3SYOEU1aXu6+7hOBHH7DN2ge1xXd545v4ALWGmL8zp6YAF5Zwevcra2Nk9GCMdS2NgfUEcsrZ/FQEofHph+/oOn8vQmyH6toz9jmQLqsgbMTFVcDxcZwtF1Vl0Fk+GY3K5Mbano7CsDGNWNHRLwTVI9ZilJYTFKWaAV34U8WCRBH1BZitu1mnZtQyjGxfHx0dCwjS5NRm1J1XXxC8ajAGSvhoJHDoCLRbI9yust/iM7IDaj69RVPZLIzp2R71S9sJ1+5UalmpScfga7UC7cRaES9qDgFc+KhJFun6o1PAtvac6tfq7KgpW47DQ51gn49SRFhkTH6j9NrzT2i3KgSdxIGYY621Bv1RERhwzngmx4l+wtJAlJBtRstKBbGok/EPqBjPcJJEBIgAESACRCB1EyCflPnGV+gHnk1NQrAOdO2OX79+HUuXLtU41KOioiwa3t1YDvTY/naikNEAACAASURBVB09elTjJGdfenaaPWfOnKhatSoGDBiApk2b6jX+379/12w02L17t+Z0PMuPzsLdM8f68OHDUahQIb3kJKUSLVZJoUZtiAARIAK/Eig75Th+yGNOnLcTBemG181aCBhxyzBsc4sCPz5ybbrLxyFYFZMP+f4MV6SzERsmj2qblUDrFRdw88VnHLEZj3Ki57zu1quAil3NaotGWfBC4Mx0Tm+AsiL+jB5DIbjNPxK/aLz77xcMW/YXzkh1U/lg8gdAbC0ACwHc2gXs68fZ8kBVAK7yOahSKBv2UkoJs45R0yXBaPN+FfpLjvB6K3QB2qw2qx0GK1OpYhyh4Dcnu8hmo2MzV/RxKmKwOGpgOIGrzz7h9loP9JZo5Tyv3BNoudRwYeZsMacw8PM/TmMn2WR07dQFrSrmM6cVaV6XXKFCyUnHsN56LhqIb/I8Gk4B6oyyLJ+XV4G1DTkbotTWKC3bhC19qqFOiVyWtY20x0vg9L236Lv5KoaJ9+lExUDJpkDXncajFvkWWFBSR17VqJUoVbw4tvatbjw9JIkIEAEiQASIABEwiAD5pAzCZZTKQj3wbJTOJSIkRTjQY+3/9OmTxtns5+eH589jXiYLKby7qQdLiPJpsRLiqJBNRIAIpDQC32QK2E/lX0hPkGzTdW4k5XTgyprAu3scipHygdivqqP5O3hMfRTITiEphTxPGi88h0fvvuGCdCjyWfEbIdDlL6CUq/lNv7oBODyC03tdVRxt5TPQuWoBzG4XszGDimUIsFNYU1ZvxxHpRN4AkTUw5YNlDIpP6+PTwNZ23JV36qyoJluJojkzIGB0PeHYmQYscZoTgMGRS9FFEsj3ttoAwE0rBK5QOcwqCMi+cNa1l01B7QYtMLKxrnNDqOandLuCH73Hq0190Vlylu9K9YFA05i0ZIItSyoA/z3jzOsn94Rzi57oXrOwYE1OjYZ9+i5H5ZmnsN9mCiqJ+JR4aL4YcOxt2S5/DAeWVdaxoVTURszrUh0tK+S1rG2kPV4Cu6++gNeeW/CRrIO75Axfp0pvoMVi41FTKoCZOXU2b7EoFio7e5wY6Ww8PSSJCBABIkAEiAARMIgA+aQMwmX0ykI68Gz0zsURmKIc6LG2s/DnBw8exPLlyxEQEKD5WAjh3U09WEKUT4uVEEeFbCICRCClEYjN4xdr92brWXAW3+a74ewFNJhkWLc2tQSe8iEMfaO7wF/ZQiNj36BaqFwwm2HyqLZZCdScdQavv0ThnrQ30lvJeN1/ngQKWuDEy92/gd09OTvCVX+goXwBmtrnwapuVczKhpTpEmBOraXrN2O3dAZ/wTYLMC5COKheXQfW1OfsiVaLNSFQs6a3wc0pTYRjZxqwpML0k/BRzEdz8aXk3WMswWqRPfDlBaf5T/loFK7ZDlNalLWENWlO58m7b/BzZ2+0Ev/D993JE2g0Vdgs/JyB16GcjaPkHijauB8G1y8ubLtTmXURH3/AeV4gztqMRGHRW753HbcAZVtatrc/PgFzdSNZVI9ajkEt66BnLdpoYdnBiV/7mqAn8Dl6H2us56Ox+Dpfqd4EoN5Y45o8txjwg9+UyKJ63U3niOuTGxtXD0kjAkSACBABIkAE9CZAPim9UZm0Ylo48JwiHejao37//n2NI33r1q2IjIzUXGLO9GzZsmlyjM+aNcukkyStC6fFKq3PAOo/ESACxiAQEv4RXdZc5ERdkQ5CLqvPvOj2GwD7toap2tsPuL2La+OvaAZfhbvmb//uVdCkXB7D5FFtsxJwmHYC8qgfeGjbS1fvkKtATt389mYx7Mk5YDP/gvujOhOqyPxQs2gO7OhfwywmkJL4CTCn1rZt67HJZg5fIVNeYNR94SD77zmwRDdSgX3UWny3So9H3k0hEYuEY2sqtkStVqPYhKPYIJmNumKttCCNZwK1hwm/56tqA2/vcHaOkA+CpFJnzO9QQfi2pwILD9x8Bdu9PeAivsr3pv4koG6c9BFC6+umFsDTIM6q6dHdYVN7MMa7lRGapanaHpZupNnS8wiV9kUWqx98X3sdAQo7WbbvKiUwI4fOKWNX2Wy4NmyIEY0owoVlByd+7XOPP8DKs+E4aDMR5UVP+UotlwGVexjX5DhRvdi952+VEx75NIU1Pb8YlzVJIwJEgAgQASKgJwHySekJykzVUvOB5xTvQI+dA9++fcPGjRs1ucAfPnyo+Zg50pXKmHyyVExDgBYr03AlqUSACKQtAuyl9PCdMfkgs+Mrrtt66AIYfAXIZeALvBMTgZDlnJx9Sid4Rg/S/O3bxgFdqxdMW5BTUG9jnVw51f/hsu1gXcu9ngAZ2EteM5fXtwC/mBQArCjUIhSXbUGZP7Lg2HD+czNbReoAsPXj2C5/rLbRClmaozgw9Jpw+Mi+AbN08w3XkS3CC3VuXJvUCDkySoVjayq2JDZdyD6bKaisHUK5xRKgSpzNOkLksMENeH6Bs2xydC+8K90dft0dhWhtqrPprysR+ONgV90IOU18gFpDhN3Xne7Ag8OcjYui2+FdlRGY1ZbSj5hz4C4++Qh3/wsIt+2uq3bQRcBOAJsZ5hQGfv7H2dZZPgmla7hhWsty5sREuvQkMH7fbey4HIHL0kGw09507L4HKGHkk+Fxonp5R7tjrbIZLo5viDxZbPW0mKoRASJABIgAESACxiRAPilj0jSurNR24FlQDnSWiP7r16+af1++fEny/zM57OUzOdCNO/njk0aLlekZkwYiQARSP4G1wU/gfSTmtGhN0V3ssPHhOy2WAhP+BcQSw0BcWAKcmsK1CVbao3v0BM3fIxuVxPBGFjjFbFgP0mztH3IFyk45gVJWETghHafLYfJHw+eCMUh+jgAWO+hIYieIs2TNgQvjGhhDA8lIIgH2AvnK3yuw0GY1LyGPA+BxPokSTdBMrQa87QClnBPeSjYDoeriOO1ZF8XtMppAKYmMS+D1l5+oOSsAp2y8UEL0ir+clCgnlsC7vTMQdozTPC+6I64X6kNRMMw0FhsvPEXZE51QTRSzWV1Tmi0EqvYxkwVJVPP3YODmVq7xOkVTXC8zBivcdXNeJ1E6NdOTwOl7bzF28xlcsx2o22JUGJApt55STFhtaSXg0xNOgYd8BKTlW2NJ50omVEqik0pg4NZrOHnnFR5Je0BkpebFsGcf9gxkzLKnD3BnDydxtaI5Ziu64tAQJzjkz2JMTSSLCBABIkAEiAAR0JMA+aT0BGXBaqnlwLOgHOhisVjvIWUO8t8VcqD/jlDyr9NilXyGJIEIEAEi4Hv0PvyDYl7a9RYfw1TrLTyUPOUBj2DDId3cAfzNn2S/ryqApvKYEM/daxTCzNb2hsukFmYh8O5rFKr5nkF1q/v4SzqT12nJvNaySGBWfp3+O8mW4D/rPLg7w9UsXEhJ/ATWn3+KJ8eWwNt6A1+hQA2gzwlhIVtQGoh8zdnUSz4GZ1UVsdujJqoWzi4sW1OpNWFvI9FkURAuSgcjjxV/0hLue4ESjYTf630DgFs7OTuZE+Nwbg8cHkpRMMwxeKvOhsMpoC0cRM94da1XAxW7mEN90nUcnwBcXMG1361wxsEik7ClT/Wky6SWBhP4+8YrLN91GKelY3TbTv4AiK0Nlmf0BmsaAK/4yC3jovviVdGONE+MDto4Ajv7h+Dpk8e4ZBsnAoZXOJAhp3GUxEo5Ph64uJKTuVdZB6OiB2J9L0c0KC2AzR/G7S1JIwJEgAgQASKQIgiQT8o8w0QHngFBOdBFIpHm1Hisc5z9nTFjRmTOnFnzL1OmTPH+f2LXihYtap7ZlEa10GKVRgeeuk0EiIBRCYzYeQN/3/xXI3O2xB+dJWd5+RW6Am1WGa7v8RlgK583/YM6MxxlMSdUm9rnwapuVQyXSS3MQiD8/Tc0XHAOLqLL8NMOy52tCDA8JtS/2QvbuDgzJ6BScKqbyXxwV10EYd5NYSOhHNZmH5P/K1wR+Bj/nV6ISdbbeBOKNQC677eUSfHrjZO/eqR8IPar6sCvexW4lMsjLFtTqTXXnn9Cu1UhuCvtjQxWMr6XfU4BBaoJv9dHvYDL/pyd2xX14ZdlOM551Re+7anAwoWnwtAyuBWKi2KeVzSlwyagXGth9+7sHOCsL2fjCaUjVuaejgNDLJx3W9jUjG7dlpBnOHhwL3ZLZ/CypZmB8S+MritJAre2Bx6f4prOju6MC3m649BQmidJ4mniRq6Lg2Dz9iYOSifzmkTWwKR3gMjIz6TBC4Ez0zk955Tl0TN6HOa0c0CnqpQSy8RDTeKJABEgAkSACMRLgHxS5pkYdOBZoA50NvxZs2bFkCFDMGjQIOTOTbs6zfOVMFwLLVaGM6MWRIAIEIG4BLr4X0TIk4+aj7da+8BJfJev0mga4DTScGhvbgOr+Zd+KrUVSsg2QwkxqhbOht0etQyXSS3MQuDWy89oufwCOosDMNt6La8zb2Wgf6BZbIhXybziwPf33CV3+XhcUDngysRGyJWJclhbamDmn3gIUdBceFrz4UVRujnQWcuhbinjtPVubA4846NpzIjujvXKppjd1gGdq9ELaHMMUeCDd+i78WI8OYgvAXalzWFC8nQEeANB8zgZh5U1MNl6FG5MaZI8udRaLwIsWk6PS82R3+oDX7/rbqCkwPlfXA0cH8vZHKIsiwlZZiFwdD29+k2VjENg5dnHCD25FX42i3iB2QoDw0ONoyC5Uvb2A27v4qSwCBdbM/XB+bGUpia5aE3RvobvGTh8O481Ngt58VkKAiNvG1/dja3AgcGc3Duqwmgu98XoJiUxpAGlxDI+cJJIBIgAESACROD3BMgn9XtGxqhBB54F5kA/ceIEli1bhuPHj0OlUmlOo1tbW6NTp04YNmwYqlSh03LGmPjGlEGLlTFpkiwiQATSKoGGC84i/P13TfdP2nihpHZu2jb+QIVOhqOJfAssKKnTrmrUCrxHNhTOkR5n6cSe4UzN1OKfxx/Qde0leIgPYpw1H64YxRsB3faayYp41CyvCnwI4y4Mlg/DEVUNymFtuRHRaJ5x6B7sLvnCQ3KIt6R8J6Atf1LXwibGqN/VE7j3N2fKMkVrLFB0xBjXUhhUr7ggTEztRhy4+QpTdp5HqG1/3a563gcy5xV+9y8sBU7xpw2DlA74UzkBj3yaan43UjEtgcl/38GIG67IYRXJK+p5GCgi8BD6cVLa3FUVQnfrBbg+ubFpgZF0HQJzjz/Ax+C1mGO9hv/c0hsDtS08Nha4FBOpiZWdinrwFg/CnekuNJICJFBq0jF0UJ/QTV+TvxrQl48iYDSzw04C2ztw4t6os6GGbAV61iyE6a0oJZbROJMgIkAEiAARIAIGECCflAGwklE11oHORKTVA8+CCuEeO5ZPnjzRONI3btyIL1++cC9EatWqheHDh6Nt27Zgg0fF8gRosbL8GJAFRIAIpHwCDtNOIDIqJjR2qLQvslj94DvV4wBQNAmnpFTKmJDbahUny03mi3vqwsgoldALQQFPm5N336D/lmsYJ9kOD8lh3lKHDkA7rRPp5u7D2sbAy8uc1gnRfbBd2RB7B9ZElUKUw9rcwxGrb/y+2yh9fTp6SrReGlfpBbRYYimT4td7eCRwdT13bZuiISYq+qCvUxFMal5WWLamUmu2XnyO1QcCcF46QreH418B0ozC7/W1TcChYZydN1TF0UY+A/dmuCC9jUT49qdwC0fvDsWMO42RXjv8f98AIL/AN7k/OArs5PO0R6hyoYFiKW28MPN8nHLgDjJcXoaxOhsDGwPdtKKnmNkmHXVnZwNnZ3EfsVD/A6I9KU2NJcckAd0/5UqUmXIcoyS7MFTCb8xDmZZApy3Gt/jVdWANnyokWi1GSdkmNHXIi5XuAl//jE+DJBIBIkAEiAAREAQB8kmZZxjowLPATqDHHfYfP35g06ZNWLFiBe7du6e5zE4X5MuXTxPevV+/fsiWLZt5ZgtpiZcALVY0MYgAESACySMQFa1E6cnHNUKkkOOhbS9dgYMvA7lKJU1JnJDbPeRjEaSqoJF1f4Yr0tmIkyaXWpmUwL7rL+G5KxRzJP7oJDnL66o2AHCba1LdiQrf1hF4dIKrMje6E1YqW2FdT0c0LEPpdiw1MCN23kDtO1PQQRLEm1BjMODK5/y1lG06euOE3z6irIbB0SPQ0TE/5raPWZeomJbAqrPhOHTiOI5KJ/CKrMTAlI/sR5ZplRtD+t39wG7+Hhmu+gMN5QtwaUJD5M5sawwNJCMRAoO3XcOKR3HCWQ8MAXILfAPMswvARjeuZ5/VGVBRtoY2Xph5to/86yZK356LAZIjvGYhRUu55AccG8PZdklVGp3kU3B5QkPY0fpi5tmSuLp/P/9ErdkBmCvxQ0fJOdM/J395CSwqp2NUxSg/lChckFJiCWpmkDFEgAgQASKQlgiQT8q8o52WDzwL8gR6fMN/5swZLF26FEeOHOHCu9va2qJ79+4YOnQoypXTfaA17xRKu9posUq7Y089JwJEwDgEIj7+gPO8mLzW+a3e/XoycOxzIF3WpClbVRt4e4drO0rugb0qZ83fwWPqo0D29EmTS61MSmBLyDNMPnAXftYL4SK+yuuqNx6oN86kuhMVvm8AcIsPKe+naIZZCncs7FgBbSvnt5xdaVzzgC1X0SJsIpqLL/IknL2A/7F3FlBRbV0c/zPMDOizu1uxsBEDGwPRZxfYhS0WdoKFXVjY3Z3Y3d1i67Owi0m+de583MsgKDBzhzuwz1pvPYc5Z8fvXO4Md5+9d/UR0iJzbj6wX7h+WR/iVpoRqF0kIxa2KSMtWxOoNayE8qXju7HRzlfw0D4VMOSZdXj86AiwqhFv6/uwlHBSzUdQv8rInzG5dfhgxVZ2W3oKC567G3vQ5yqQJo+0vXpzC1hQkbdRF2aDfKpVODu0JjKlpIMXltq8zisuofbDsZEOe/UA6ghZ35ayJUo9NzYBWzvzb93XZ0NttT8OeFeGQya6v8Tr3kRSfvu/L3CffQorFJNQxfaG8K7rGMCln/lN1aoAvwxGcl1V/tCmKUAtscxPmyQSASJABIgAEYgRAYpJxQiT2SclxoRnqwmgh+/206dPMXfuXCxbtgyfPn3iy7vXqFGDK+/u7h7pj3qzXyYkMCIBulnR9UAEiAARMI3Apacf0XTBWU5IaZv72GI3VhAoTwIMfx33zMCVDYHHhuA8GxM1rbBQV5/799YeFVAqB1VxMW33xFkdcCwY/vvvY4NyHJxl9wQlbv6As5c4SmMidd8Q4Px8fuYGbVUM1nbFqHqF0dEld0wk0BwRCLRZch7tnw5GDdurgvQao4FK/UXQZoLI6xuAbULv7Xv67KijnozyedJiXddyJgimpTElMGL7Tby+sA1LlNOEJalyAN43Yyoifue9ugwsFjKgQ8MUKKhagS3dK6B0Tvo8E3tzui44iEVvhD7AnL4B94HkmcRWbZr8zy+AmcZ9iouGBmJrvzooQAcvTGMbi9UtF51FxxfDUcv2srCq2nCgipD1HQtx5p/68BCwpgkv921YKjirArC+azmUy5PW/PpIYpwJnA4OgWfgeexTDkYh2QtBTqOFQPGWcZb7x4WTcgChX/gpLdUjcFPuiNvj6oijj6QSASJABIgAESACfyRAMan4v0ASS8Kz1QXQwy+NX79+YdWqVVx595s3DQ99WHn3PHnyoE+fPujQoQOSJbOCXn7xf62bZAHdrEzCR4uJABEgAth78zV6rLnCkXCTncd8ZYS+xalzAX2vx51SpIzhQK0b/LRtOHmL2pRGrSISf+gdd8+teuWUA/cw7+gjHFD6wEH2UvClcSBQLFLwwpKeRuoPul/nhG6afuhTIz/61yxgSUtIVwQCzRacQf9XA1De1tDuyHAziefDFlHtUDTBicKZU2Bv30q0pxYg0Hf9Vdjc2IiZygBBW8aiQPfTFtBuBhUhwcBc436zBUJXYFGHCqjqYJwdaAZtJCISgc5ztiPwQzvjnw55DtinlDar0K/ApOxGNlYInY3Z3eqjTK400rY9AVlXb85JDHvngwoRP6vqTAbKdZOGl5EO6KjCFHBQLceC1qVRp2hmadhIVnAEdt/4D73WXsVVu65IbfNdoNJ2B5CnqjiU5pQBPjzkZfdS98ZufXlqBSEObZJKBIgAESACROCvBCgm9VdEFpuQ0BOerTaAHvEKOHr0KObMmYNdu3ZBp9NxgXQWPGdB9JkzZ1rsYkmMiuhmlRh3nXwmAkTAnASWnX6CsbsMga/2tvsxRrFSEJ+jPNDR0B89TuPgCODMHH7pdl0FeGt6ca8nNHKEh3OOOImlReISGL3jFlacfYYLdj2QweazoKz1FiCfq7jK/yQ9Un/Qc/pCaKkeifYVcmHMv9RKJ742xn32SYwP6YMSsseCCf/OBUoZDstIZry6AiyuxpujDrNFAdVKZEudFKcGR+qrLBmjE5YhHZdfRNaHq+GrWB7hc6YC0HGfdTj6/T0wNZ+RraVD52N0q6r4t3gW6/DBiq3sPG0tAr91N/ZgZAhgq5C2V3o9MI4FysN4O+uoJsGnXWNUL5hR2rYnIOuqTDmKOd/6oZjsieBVgwCgpKc0vPz4GJhd0siWQqFLMbKRE31flsYO8VasPvcMY7ZfQ7B9W2PLepwDMhQSx9qlbsDzM7zsMZq2WK6rgxODqiFHWmqJJQ50kkoEiAARIAJEIHoCFJOS3tWRUBOerTqArtfr8fXrV/6/GzduYPLkyUYZ6SygTkM8AnSzEo8tSSYCRCBxEJi8/x7mH3vEOesjX48e8p2C44UbAs1XxB3E6dlA0Eh+/SldEbTWDOde93MtgL6u+eMum1aKRmDAxuvYcuUFHti1hdImwveYLkeArMbZl6IZEZXgGxuBrV34d+7qs8NNPRkNS2TBzJbGD50talciV1Z96jEs+NoDBWSvBBJNlgCOTaVF5tNTYFZxI5tYGWUb+xS4Oaa2tGxNoNawagVOL5bBR7FR8LBAHcBjg3V4HEUf2mqqaejcsCY8nXNahw9WbGXnSUsQGCq0htDbyCEb/cE6PIpUfrm5aiQ8mrdCw5JZrcP+BGBlad8gbNb0RG7ZW8GbFquBQobWQvE+fn0GJhvfR8qHzkHr2hXQs5rxwZ14tzWRGzD3yEMsO3gRl+0jHegZ+BBIJlI1ko1tgTs7ePJztQ0wVdsCW7qXR+mcVMkikV+S5D4RIAJEgAjEAwGKScUD9FioTEgJz5IKoK9fvx5fvnwxCopHDJCH/zt8DjvVEN0ICwvjMtEpgB6LKzsOU+lmFQdotIQIEAEiEIGAIVhqKNM9TTEfTWxPCu86dwfcJsWdV6Sew/f12VBb7c/Ja1MuJ3wbGvcEjbsiWmlOAl6rLuHk7We4Y9/RWGyfa0CaeOw1/jAIWCMEZV+HpUF51VxUdUiP5R3KmhMByYoFgfITD2PjLy9kl70XVrVaDzi4xUKKBaaqvgETsxkpclHNxMuwDHg0oS5sZTYWMCJxq6gz8wQahixCN/kuAYRjc6DJYusB45cR0Iby9v6r8oVbbXd0r5rXenywUku7+M3FYq3hEB4bWkUyyIdHOLgjZb9mOgKfn/MWdlYPQOX6bdG2fC4pW52gbCswYh9O23ZFepuvgl9iltyOLT1WqcA3LRCm51fWVU1ARZdqGO5eOLbSaL6IBHx338Gx06dw2G6QsRYxK2LsGQhcFD4r12urYoi2Kxa0LkUl/kXcaxJNBIgAESACRCA6AhSTkua1kRATniUVQJfJZFzQO7rBguKxGRRAjw2tuM2lm1XcuNEqIkAEiEA4gTZLzuPkwxDu5UrFRFS2vSnAcR0DuPSLO6xHR4BVjfj1H8KSo7RqIffarWgmzG8dj9nMcfcqwa/0DDyHp8H3cNq+r7Gv8d1r9uUlILAGb9OvMCUKqZajRPZU2N6zYoLfF6k6WHzsQRzWd0I6o6DETiBPFWmZzL7H+2UAdGreLhb8vBGWF9dH1ULKpBIvAy0tmnGypsLEw+j5Yx485YeF9U6dAfdpcZIXL4um5Ad+vONVt1YPRbHKDeFTp2C8mJOYlHYdMwWL4Me7rE6SHsrBwdaBYIEL8Eb4ftVf3Q15XDujV3WqxGOJDVRpdXAYsR/37drBzkYjqIzvyjqRnZ+cG/j1kf9pK/VwZC1ZG1ObGVdPsQQz0hE9gf4br+H51cPYbDdOmKRMDgwzHEgWZRz3B46O50UH6Uqhi2YgfBsUQRs6iCMKchJKBIgAESACROBPBCgmZZnrgxKeAckF0CNvPQuCJ0+eHClTpuT+S5UqFf/vmLzOmpXKson560Q3KzHpkmwiQAQSAwGWEXjvzTfO1f3KwSgoeyG43XABUKJV3DG8vQ3Mr2C0Pl/oSmghh1Ou1NjUzfi9uCuileYk0GDeaWhfXsUeOyHTDza2wKgPwB8OGprThihlhQQDc40PXTiELkfWdKlxZGBV0dWTgqgJsKy+a7btkNRGJUzofBjIVkZ6yKY6AN/f8Ha1Uw/GcX1x6iFqoZ1yHH0A4/Uz8K/tWUGjS3/AdbSFLDCDmjllgA8PeUE91H2Qpmxz+DV0NINwEvEnAt1H+GK+fCo/RZ08B5QDIhz6kzK+5fWAp0KFH9a/WFGhO2UWW2jPPnxXobzfPjywb2essddlIJ2EyqPPKQ18EA6FdFf3hbpAfSxp72QhUqQmJgQ6Lr8I2YN9CFRGOPyVKgfgLeL96NIyYLc3b941fV40VPuiT/V86F/LISZm0xwiQASIABEgAkTAjAQoJmVGmH8QRQnPEgug7969+7cAeYoUKf6YlW6ZS4W0REeAblZ0bRABIkAETCNQyjcIH38YMjKv2nVFapvvgsA224G81eKu4Pt7YKrxg8myofPwDqmRK21SHBtkguy4W0Ur/0KgxrRjyPThHNYoJwozk6YDfB7FL7sfH4ApeYxscAqdB90/GXFlZM34tS2Ratfphbkt9gAAIABJREFUw5Bv2G48sW9tTKD7WSCjBEvOBlQA3t3mbfVW98B2vQt293ZB0awpE+kuWsZtvT4MeYfvxRK5P6rbXhOUmlrpxDLmC1oWVwdeXeZfD9Z0QaijJ2a1LGlpSxKVPq1Oj34jR2KOci7vtypNQdj1OW8dHNZ7Avd287ZO1zTF25J9MblpMeuw38qtfPbhBxpO2Ymr9t2MPRnwAEieUTreBboCLy/y9gzTdMK9rE2wtQdV2ZHOJgGNAk4j36vtmKJYJJiVuQTgdVw8M+/uBjZ48vJfhqWDi2o2WpXNjomN6T4iHniSTASIABEgAkQgagIUk7LMlcEC6JFHYkt4llQGumW2nbSYkwDdrMxJk2QRASKQ2AiotXqw7FE2lND8npnT4xyQoVDcseh1gG96IEzHy3BXjcftsNxIZifHrbG14y6bVopGoNyEwyjz/SjmKucIOtIVAHoJD3VFU/4nwTqtoT9ohFFT5Y/HNtkRPN6NDjzGw6Z8V2nhNHoH7tp3NNbe5xqQJnc8WPQXlZGyQMdp2mCpzg1rOjujYr500rM3AVn0NVSDYmMOYpNyDJxkDwTP3KcDTp2sx1PWloS1J/n/GK/xwKP8HbGUMkRF3UN2rxk7bqhRwEqdsSSU3Y+Jqtdswrf3AK6t4cUt1tbFlYIDqZWN2QD/WdCtV1/QY+4WnLCL1JZo2GtAmdRCVsRAzZrmwMMD/ER/TQvsT+1BVXZigM6SU6pNPQbXTxswXLFWUJunGtB2u3hmvLgALBEOi4aGKVBQtRyuhTIisB1VKBAPPEkmAkSACBABIhA1AYpJWebKoIRniWWgW2bbSYs5CdDNypw0SRYRIAKJjcCrz79QcZIhEJDN5j1O2UXqeT34KZAktWlYphYAvr/lZbRX++CYvgT3+p5vHdgrbE2TT6vNTqDo6ANoqN0HP8UyQXZ2Z6DTQbPrirXAiTkA1Rd+WTPVKFwMK4ibY2ohuT31sI41TxMXvPsWCrfxW3HZvruxpIEPgWQZTJQuwvKNbYE7O3jBs7UNMV3bHAGepVDXMbMICklkOIHXX36h/MQjv7cKabIEcGxqPaA2tQdubzO6hk5k9cLm7tSSRMxNfP9NhTmTBmGcYgWvRpO9IhSd9oqp1nyy9w8FzgXw8jZoq2JnrqFY07mc+XSQpGgJnHv8Ab6L12OP3TBhjkwOjAyJ39Y0kS3e6gXcWM//dJHWHYvsO+DSCKqyI6XLu8S4g+iiXoWe8p2CWUWbAE2XimfmxyfAbMPfT+GjSOgSFMqZhT5/xKNOkokAESACRIAIREuAYlJ0cViKAGWgW4p0AtVDN6sEurHkFhEgAhYhcPX5JzQKOMPpKmXzAFvtxgh6be2AEW9Nf7A43wV4K/QEHKjxwmZdFU7PSZ9qyJ5GQpk/FqEubSXhZZZ7yrZhoGKTYGwBN8BDeKgbb17MLAZ8fsar76LujyB9GbqW4mlDnn/4CY+pG38/fDP0FWCXLJ6s+oPa3f2AS8ID7tXaGhih7YRJjR3RsmwO6dmbgCxi10rlKUdx2q43stp8EDzz2AgUsKJqJDv7AFeEIO5ybS2sS9sbB/pVTkC7JT1XXnz8idXT+mOoYh1vnC5vTdi22Sw9Y6Oy6Ngk4JjQFmWfzgkBGcZgV28X67Dfyq0MuvMWgatWYYOdr+AJOyDKDopKaewbApyfz1u0UVsFI9AdD/zcpGRlorYl/HvyeNtAeMiFaiRw6gy4R+iJbm5K6h/AhCxGUquopkORPh8O9Tf8XUWDCBABIkAEiAARsBwBiklZjnVi10QB9MR+BZjoP92sTARIy4kAEUjUBA7cfgOvVYZernVkF7BAOVPgkSon4H3DdD6rGgOPDvNyJmtaYr7uX+711h4VUCqHiRnupltIEiIQYGVyWQb6SPkqdJIbyvtzo7gH0Eh4qBtv0BZWBl5f59WHH8igHtbxsyP33nxF71nrEGTnY2zAqE9AFL2q4sfKCFoP+wInp/I/2KMri54abwx1KwivKnnj3byEbEDwu29wnX4CN+w6IYXNL8HVDvuBnOWtx/WDI4Ezs3l7t+hcMDVpf5wdWsN6fLBCSx+8/Ya9c/rAW76Vtz6sUAPYtFhpHd6cmw/sH8LbelpXBMNSjMfxQdWsw34rt3Lb1ZfYs2kpApURApzm+p5rTjbH/YGj43mJB3Wl0VUzgCo2mZOxibI+/1SjxLggzFPMhLvtBUFaZR+g+nATpf9l+fgsgOYHP6mJajSe/VMMl0a4iquXpBMBIkAEiAARIAK/EaCYFF0UliIgmQD6pk2b0KxZM9H8fvnyJZ4/f44KFai8nzkh083KnDRJFhEgAomNwKpzzzBy+y3O7ba2B4xKo8JcJbu3dQOuCxljS7Ru8NW24XQualMatYpkSmzYJe3v26+hcJ5wGNMUAWhie0qwtXwvoLbwUDfenFjZAHgs9Lz11Xhiic6deljH04Zcef4JY+evxA67UYIF8iTAiDfxZNFf1J4NAA4M5Sed0RWGh2YEelbLi0G1C0rT5gRi1e3/vqDe7BN4ZNcGMpswwavuZ4CMRazHyxNTgCN+vL1BulLoJxuCW2OtKIveemjzll5/8RlnF/ZEN/luwfrirYBGC6zDm2trge1Cq4ub+lxoK5+Cq6NqWYf9Vm7lqrNPcXnXQsxUCmX0kdER6B7he44UfLywGNg7kLfkgt4BzdWjcWF4DWRIbi8FCxO9DU9CfoD1QF+r8EMF2zsCjzqTgHKR2tmYm1akKkxeam8csXHmKhTY2NiYWxvJIwJEgAgQASJABP5AgGJSdHlYioBkAugymQxFihTBqFGjzBpIZ0HziRMnYtmyZRg2bBgnn4b5CNDNynwsSRIRIAKJj8D0g/cx+0gw5/hA+Qb0kgu9gVHoX6DFKtOhBI0CTs/i5ezUlUcfTW/u9YRGjvBwprLJpkM2n4Tgd9/hOv04liimoIbtVUFw9ZFAZeGhrvk0xlJSpP7Dc7QNMU3bHPM8SsG9GPWwjiVNk6efCQ7BnKVLsU4Z4XBF0rSAz2OTZYsi4PoGYFtXXvRdfXa4qSejdbkc8GvoKIpKEmogcO3FZ7SZF4Sb9p2NkXjfAlJltx5MkQJc5/UF0UI9Co8m1IWtjAIYYm0k62F9f6kX2smDBBVlOgL1Zoil0rxy7+4GNnjyMp/pM6C6dhaCx1Pgy7ygo5Y272gw3hyaA1/FcmFCjgpAxwiVdixhyN903NwMbOnEz3qgz4pa6ik4PKAK8qaXYFuUv/mTAN9nBwcbB5zBPuUQFJI9FzxstBAo3lJcjwNdgZcXeR0jNB2wWlcTt8fWxj92cnF1k3QiQASIABEgAkTAiADFpMS/ICjh2cBYMgF0BwcHPHz4kDu5mT17dnh4eMDT05MLqsd2/PjxA9u2bcOaNWtw+PBh6HQ6sAD9ihUrOLk0zEeAblbmY0mSiAARSHwEhmy5gfUXX3COT5EvQDP5CQFCWS+grr/pUM7MBQ4KJQ3DMz6Z4P41C6BPjfym6yAJZiPAsvwazDuNTcoxcJI9EOTWnQqU7WI2PXEWFKmH9SqtK0ZqO2J8o6LwdM4ZZ7G0MG4EDt15i7WrF2GpUiiLjpTZgX6GyhaSGw+DgDVNebPehqWCsyoA/xbPgtmtSkrO3IRk0IUnH+G9cBfO2PcxdmvIc8A+pfW4+tshjBxwU0/C9VG1kDKpwnr8sDJLj95/h/erOqO5/LhguVQqo8SE5ZOTwIp6/MxPYclQUrWIAl8xYWeGOZP334PNyenwUWwQpBWoA3hEeG0GPSaLCD4MrG7Mi3kflhJOqvnY1qMCSlLLI5PxmkPAkXtv0XH5JZyx64UsNh8FkR6bgAIiV5RY5wHc38PrnKFpglm6Jjg9pDqypkpiDvdIBhEgAkSACBABIhBDAhSTiiEoE6ZRwrMBnmQC6FqtFrNnz8akSZMQEhLCl0DKnz8/ypUrBycnJ5QsWRIZMmRA6tSpuf9+/fqFjx8/4tOnT3jw4AHYL86FCxe4/0JDQxEWZihP6ObmhsmTJ6No0aImXDK0NCoCdLOi64IIEAEiEHcCHZZdwNH77zkBKxSTUMU2Qs/zGqOASgPiLjx85Y1NwFYh4zA8m4a93aZcTvg2pM9G0yGbT8Lp4BB4Bp7HPuVgFJIZDldwo/FioFhz8ymKq6RDY4FT0/nV4RUNBtV2QM9q+eIqldbFkcCu6/9h/4b5mKcUekIjnQPQK0Jf0DjKFmXZq8vA4uq8aFWYHA6qFahSIANWdCwrikoSaiDA7i1jl2zGQbvBEZDYAKM+AjKZ9WC6vx9Y14K392VYOrioZuOkTzVkT5PUevywMkv33XwN7cb2qG97TrC88iCg+gjr8OT1DWBhJd5WXZgN8qpW4+zQGsickgJfYm8ia1eU+dJk9JDvFFQ5NgOaBIqtOnbyX10BFlfj16jDbFFAtRIrOzqjcoH0sZNFs0UhsOXySwzYdB137dojiY1a0NH5MJCtjCg6eaG7+gKXhSoK4YdI9/RxQZEsVnQQTVxKJJ0IEAEiQASIgEUIiB2T+vr1K/bu3cvFGy9duoRXr17h/fv3XDwyVapUKFy4MOrWrYtOnTohbdq0f/V5//79WLRoERe3ZHLSp0+PsmXLomvXrqhTp85f17MJP3/+xLx588Ayw4ODg6FWq7lEZHd3d/Tp0wc5cpi3wiglPBu2RTIB9PCrhGWPBwQEcBcDK7/OGRmLfkLhQXNbW1s0aNAAgwYNgrOzc4wuQpoUewJi36xibxGtIAJEgAhYDwH32Sdx+7+vnMG/BUwbzgdKmKFqCutXzfpW/3+EZ12xl25FM2F+69LWAywRWLr/1ht0W30Zp+z6IJtNiOBxq/WAg1v8Ezg9GwgaydtxQueItpqh8KqcB0PrFop/+xKZBRsvvsDF7bMxRbFI8DxLSaCr0KdeUkg+PQVmFTcyqUjoEuTPnhnbe1aUlKkJzZij995h7orV2GI3VnDNLgUwNMJBHWtw+tkZYJlwL/walhTFVIGgAIa4m7f1yksk39YGNW2vCIqk0lokJq5/egbMKvbbvWerd204ZEoeEwk0xwQC/TZcQ6mbvmgjPyRIkWILgGg+oyZ7VEC9YllMIEBLzUUg8ORjTNlzHfft2xuL7H0FSJvXXGqilnNkPHBCqA62T+eE7pp+WNvZGRXypRNXN0knAkSACBABIkAEjAiIHZM6dOgQatas+Vfq6dKlw+rVq1G7du0o57JYZbdu3bjgeXSDBdEXLFjwxxjoo0ePuED5/fv3oxSTMmVKrF27lgvqm2tQwrOBpOQC6OEbrNfrERQUhI0bN+Lo0aN4+vTpX/c+SZIk3MkNdjGxUu1ZstAfOX+FZuIEsW9WJppHy4kAESACkibgNP4Q3n9TcTZetvNCWptvgr2ttwL5aphu/9s7wPzyRnLyh66EBnI45UqNTd0qmK6DJJiNQHhmzTW7Lkhl80OQ234PkMvFbHriLOjKKmBnL375dX0eNFD7oUWZ7Jjc1Dg4EWcdtDDGBFaceYpHe6ZjnGKFsCanC9BBKDEaY2GWmBj6FZhk3G/bRTULynS5cGRAVUtYkGh1sMM569cGYrlyisAgRTag/23rYvL2NjBf+NzSc5nEq7CuawWUy/P3k//W5ax0rF1z/hly7m4FF9sI10vtiUD5HtIx8k+W/PoMTDZuM1I+dA5medVD2dxprMMHK7ay84qLcA8ejUa2pwUvKnoDNSMc6JGCf6FfgEnGmTsVQ2ehZ6Pq8HA2b0aPFNy1RhumHriPTUcv4Ly98F2U88PnCZBU5N/l84uAfYN4bBf1BdBMPQYBnqVQ1zGzNeIkm4kAESACRIAIWC0BsWNSLIDesWNHVKtWDaVLl+YyvTNnzgwWs3z58iU2b96MrVu3cq2jlUoll6lerNjvz8SGDx+OCRMmcJxZdW0fHx/kzZsXLCDu7++Pq1evcu+xeX5+flHux/fv37nq3Pfu3ePe79KlC1q2bAkWC2Vx04kTJ4LNSZo0Kc6ePRulHaZsdGJPeJZsAD3yprIyCWfOnOEuUFbmgJVut7e358odsP8cHR1RpkwZKBTU+86UX4jYrhX7ZhVbe2g+ESACRMBaCOj0Ycg/fC/0YYACWjy0b2tsevezQMbCprvz4wMwJY+RnHKhc/AGaZErbVIcGySUqjRdGUkwlQALiI7eeQvBdm0gt9EL4rxOAJmNM3dN1RWn9Xd3Axs8+aXP9BlQRT0TtYtkxMI2IpfOjJPBCXvR/GOP8CXIH0MU6wVH89cCPDdJ03HWXsk3PaDX8PbVV/nh9T8FcWnE3093S9Mp67CKlfsP2jAPs5VzBYPTFwJ6RijJbQ2ufHkJzChiZKljaCCmtamEWkUyWYMHVmkjy/osGdQcpWUPBfvrzQTKdLAOf/R6YBwLrhlavLFRWzUJg9o0hmvhjNbhgxVb2WLhWXR+OUz6FQzYZ9S4tECYjqftrpqAf+vUgVcVkbObrXh/LWn68G03cfnCKey3GxJBLWtH8gGQ2Ypryu1twCYh8/2JPiOqqWdgQiNHOmAhLnmSTgSIABEgAkTgNwJix6RYYJxVuP7T2L59Oxo1asRNady4MbZs2WI0nZVZL1SoEFgmN4tbnjhxggt6hw9Wkr1KlSpciXi5XM4FyFlwPfIYM2YMxo41HDxlQXdWcTviYEHzypUrc3pYwP/IkSOiXDGJNeHZagLoouw6CTWZgNg3K5MNJAFEgAgQAYkSePc1FGUnHOasy4IQnLHvY2ypuTIp2ENj33RGDwPrqfxwKywPktnJcWts1GWGJIotwZs172gw5hy4gXv2kYISfa4CaYwPQsQLjKengeVCSagvYUlRXBWIcnnSYH1X40oH8WJfIlM6PegBbI9PQF/5NsHzwg2A5iulS2KqA/D9DW9fO/VgnLUpift+dWLVtkm6DkrTMlbd4srWaRivWCoYmN0Z6HRQmgZHZ1UUVQxYhmj/Zq5oUjqbdfliRdbOPfIQ1Y81QWHZM8HqRouA4kI/esm7MzEHoPrCm9lMNQqtmrVA41J03Yi9d6xl0aiQgXCWGbJmuFF3KlC2i9iqYy/fPy/wU2ih46keihJVGmJQ7YKxl0UrzE6g59or+HjrENYpxwuyk6QGBv+9YqXJxkT6Dvw1LAmKqZZgcJ2C6F6VDliYzJcEEAEiQASIABGIBQGpxKRYgJwFvlkpd5b0G3H07NmTa1XNBgtylytX7jcPz507h/LlDc/SevXqhTlz5hjN0Wg0yJAhAz5//swF42/dugWZTPabHFYmfuHChdzPWUCeZc2LPRJLwjMF0MW+khK4fKncrBI4ZnKPCBCBBEjg1qsvqDfnFOdZCZtgbLcbJXhpqwRGvANsbMzj+bSCwLfXvKwO6kE4qi/Jvb7nWwf2CpEzNszjRaKQMnn/PWw+dhkX7SOVxR30CPhHAv0VoyifnE+1CgUypcR+78qJYo+k5OT4PXeQ/qwfusojlGwv7gE0mi8lM41tCSgPvLvD/6yvugd26F1wd1wdJFHSvUisjVt/4Tme7hhvXK0gX02g9WaxVIojlzsUxjJEhQoddVST0KJeHXSomFscnSQV/vvvoemZBsgjEw6/oPkqoPC/1kNnhiPw5Tlvb0f1QFR2b432dN2IvodVphxFwLe+KGJ0AGMhULyl6LpjrWCuExDygF/WU90Hacq2gG/DorEWRQvMT8Az8BySP96HBcqZgvA0eYE+V8yvLLLEkIfAXONqSw6hy9G+SkEMdSskvn7SQASIABEgAkSACPAEpBKTYpnlly9fRrJkyfDtm9CWk/U+Z2XfWZC5YMGCuHv3brS7x95nvc2zZcuG58+fGyUWsBbXtWrV4tZOmjQJgwcPjlJOxED8sGHDMH58hMOGdN2YRIAC6Cbho8VSuVnRThABIkAErI3A4btv0WnFJc7s2rKLWKicIbiQMgfQ76b5XFpQCXhzg5c3SNMVm3SGfsOnBldDttRJzaeLJJlEYNSOWzh57hyO2g0wlsMOVMjtTJJtlsVf/wOmGz8kLB66CElTpsPZoTXMooKExJzAiO03UfDSaLSWG6pZcMOpM+A+LeZCLD1zeT3g6Ule61hNGyzTueH8sBrImMLe0tYkGn0rzz7Ftz0j0VO+U/C5aBOgaYSMdGuhwXoUs17F/x/NVSPh4toAfWrktxYPrM7Osbtuo+uleshs81Gw3XMLkN/VenyZ7wK8Fb5beat7IE+NjnTdWGAHS/kGYbumO3LIImTltFwLFHS3gPZYqlhSC3hxnl80QtMB3x3bYWZLw8FTGvFLoO6skyj+bhsmKpYIhmQtA3SJ8D1ILBN/fQYm5zSSziqgVHIqhUlNfu95KpYZJJcIEAEiQASIABEA13O8bNmyHIoLFy5wPcItPVhQnLWVZuXeWSCd2RQ+Hj9+zJdj9/LywoIFC6I1j72/aNEi7n22Lndu4WD4qFGj4Ovry70XXRY7e4+Vb0+VKhVYv3JWzv348eOWxpFg9VEAPcFurWUck8LNyjKekhYiQASIgHkJrLvwHEO3Gh7ktrYNgp9imaAgmxPQ+ZD5FK5uCgQH8fL8NS0QoGvAvd7d2wVFs6Y0ny6SZBKB/huu4eG1k9hlN0KQY2sHjHxnklyzLdb8AsYb9xmuopqO94qsuDOujtnUkKCYEei/8Roq3hyOJraGahbcqNAHqGX4A0uSY0Mb4K4QxJ2tbYjp2uY42K8yCmRMLkmTE4JRrIe18oAP2sqFzwKU7gDUj5DFZy2OznQEPguZxJ3VA5CrQlOMqFfYWjywOjuHbr2BwdfrIJXND8H29nuBXBWtx5dl7sAz4V45StMOyvLd6LqxwA4WGL4P5+Sdkcbmu6Ct3W4gdyULaI+lirUtgAf7+UVTNM1xN39XLG1v+YeysbQ8UUyvMPEwGnzfiMGK9YK/+WsBnpvE9z8sDPDLAOjUvK4GqnHIXNgFC9qIXyZVfAdJAxEgAkSACBAB6yEQXzEp1recZZXv2rWL60f+9u1bDtqqVavQunVrHuCePXtQr1497vWMGTPg7e0dLVz2fv/+/bn32bq6dYW2ic2aNcPmzYaqcZ8+feKC5NGN4sWL48aNG0ifPj3evZPIM0TruaSitZQC6AlgE+PThfi6WcWnz6SbCBABImAOArMOPcSMQ4YSkQPkG9Fbvl0QW6g+0GK1OdQYZGzvAVxbw8tbpq2Nsdp23OvVnZzhkl8CpcHN561VS+q68hK+3zuMtcoJgh9J0wE+j6Tjl19GQBvK28MeHl4Py8f1sLaTUwluS25U99WX8e/9wXCzFU46o+pQoOoQS5oRO127+gKXl/NrVmldMVLbEZu6lYdTrjSxk0WzY0wg4FgwMh3ui8YRD1tU7AvUHBdjGZKZGCmTuJ+6O5SlPDC5KWUAirVH3uuvYvLdmrCz0QgquhwFspYSS6X55a5rBdzfy8udqmmGdyV7w79pcfPrIok8AZVWB4cR+/DAri2UNjqBTNfjQJYS0iO1rTtwfS1v12JtXRzI2hubu1eQnq2J0KJCI/fDO2wlvCK2rinWEmhs6Pkp+pheGPj6ilfTST0AP3LVxPquht6lNIgAESACRIAIEAHLEIgYk2LB7BIl/vy9kpVHj+tYvnw5OnToEO3ygQMHcsF0mwhtOFnGeffu3bk1mzZtQtOmTaNdzwLkLFDOBlvHMtLDB+ubfv78efzzzz/4/j3CYdQopLGAPQvAsxEaGgo7OwlUsYwrdAmtowC6hDbDGk2hALo17hrZTASIgBQIsNLLq88ZMugmyxehhfyYYJZTF8B9qvnMDBoNnBayDHfpyqG3pg8nf65HSdQrlsV8ukiSSQQ8Fp9D8if7jUv6p84N9L1mklyzLp5WEPj2mhfZTj0Yx/XFcWF4DWRITiW4zcr6L8LaL7uADo8HoIqt0KIBNX2Biobfb0mOQ2OAU0LLip268uij6Y0l7cqgRqGMkjQ5IRg189ADFDnuhZq2EfrEVh8JVB5ofe5FyiQerWmH94XbIcCTMgDF2sxuKy9gweOaxuJ7nAcyFBRLpfnlbusGXF/Hy12kdccVhwGUOWp+0kYSP3xXoYLfXty3b2+sqfcVIG1ekbXHQfz+YcC5efzCzbrKWJxmEA70qxwHYbTEnARCNToUHLkf/vKFaC6PUJbUuTvgNsmcqqKXtbAK8Fr4Tu6j6YIb6f/Ffm+6PiyzAaSFCBABIkAEiICBQMSYVEyYsJ7kcR3RBdBZ0J4FvJ2dnX8TPWXKFPj4+HA/37dvH+rUib5iI3s/POt86tSpGDBAaOlYpEgR3LlzBxkzZsSbN2/+6EKLFi2wceNGbk5ISAjSpk0bV5dpXQQCFECny8EkAhRANwkfLSYCRCARE+i19gp23zAEIZcrJqOq7XWBhrmDGmcDgANDefnn9IXQUj2Se+3XsChalzPu55eItyXeXW8w9xTy/bcL05QR+iNlKgZ0E3pGx7uR88oB7+/yZvRR98JOfQUE9auM/FSC26Lb03zhWQx81RdlZfcFvXWnAmW7WNSOWCk7NRM4NJpfclxXDO00QzC9eXE0LhX3U+GxsiERTvbffw9VzrSDs+ye9Vwr0e3TOg/gvuFkPRssk/ha7i5Y3fn3BxeJcKtFcblz4HEEvvzXWHbfG0BqK/r+sG8wcF74bF2vrYqdOYdibZdyojAjoQYCT0N+oOnUHbhkb8jA4cegR8A/EqyAdGIKcMSPNzNIVwqjko7A2aE1aEvjmcCbL6EoN/EwFimmoZbtZcGaasOBKoYH1KKPNc2Ahwd5Nf6a5tiWrCVdH6KDJwVEgAgQASJABIwJWDKA/vnzZ7x8+ZIz4NevX3j06BEXqN62bRvX53zmzJl8ufZwK1nfcta/nI3Dhw+jevXq0W7hkSNHUKOG4bsmWzdihNDSkclnfdGzZ8+O58+FNmZRCWvbti1XSp6NFy9ewJSse7reBAIUQKerwSQCFEA3CR8tJgJEIBETaLPkPE7Vx5nsAAAgAElEQVQ+DOEI7FUORWHZM4FGg3lASaF3jsmYbm4GtnTixQTrs8BVbchwH1TbAT2r5TNZBQkwD4Hq046h0setGKtYIQjM6QJ0EIJF5tFkgpSlbsDzM7yAkZr2WKWrhc3dyqMMleA2AWzsl/479xTGv+sJR9lTYXHD+UAJj9gLs9QKVr6dlXH//7imz4uGal+MqV8Y7SvmtpQViU7P+D130Oh8S+PPmkaLgOItrI9FFJnEezL1wI5eLtbni5VY3ClgH5a8a2ls7cBgIFl6K/EAwNEJwPHJvL17dWURkGEUdveWYB9u66H6V0tvvfqCXnM34ZidkEnDLRrxDpBLsKzkxUBgj2DrJX0BtIMvbo+LPmvorxBoglkI3H39FW6zTmKjcmz8HRzc3hO4JrTZYm2x/G064q4vXR9m2WQSQgSIABEgAkQghgQsWcI9OpNYsLpdu3Zc6fYlS5agfXuh4hJloMdwI61gGgXQrWCTpGwiBdClvDtkGxEgAlImUH/OKdx89YUz8aJdN6S3+SqY23oLkM/VfOY/OQGsqM/L+xKWFMVVgdzrLpVyY7h7YfPpIkkmESg7/hCa/dyAQQpD2SVuFHADPNabJNesiyNlf07TNMUcXWMEti0D18JUgtusrP8izHX6cSz87IW8MqGkPpqtAIo0tKQZsdN1ZwewsS2/5ok+I6qpZ6CfawH0dc0fO1k0O8YERu+4hc6XGyK77L2wpuU6oGDdGMuQzMRImcTrtNWwKJU3jg6sKhkTE5ohHWduxdLPkfr+DX0F2CWzHlfPzgMODOPtPaUrgmHJx+OETzXr8cEKLT376AMmBK7FLjshkwa2SmBkhHuRlPy6tQXY3JG3KPzQafB4N8htZVKyNNHZwq6lVovPIUg5CPllQh9yNFkCOEbfV9SsoCK1oQlvi3XPtw7sFbZmVUXCiAARIAJEgAgQgegJSCUmFV42nfUoZ1nfqVOn5oymHugJ5+qlAHrC2ct48UQqN6t4cZ6UEgEiQARMIFDJ/whefPwFObQItheCSZzIbqeBTEVNkB5p6bt7QIBxadsCoSughgJNS2fD1GbFzaeLJJlEoMio/eitX41u8l2CHMfmQJPFJsk16+JI2TdLtG7w1bbhriN2PdGwHIGKk45g069OyGLzUVDquRnIH6lXseVM+rumx8eBlUIp6I9hyVBKtQgdK+bGqPp0mOfvAOM2Y+jWmxh8vTZS2fwQBLTfA+SywqztI+OBE/68H3t0ZTHazgeXRkj4uo/btklmVccpq7H0R09je0Z9BGRWFDC6uhrYIfhwQ58bbWz9cX10LclwToiGBN15i6WrV2CdcrzgXtJ0gM8jabr76AiwqhFv27uwVCirCsC1UTWRKqlSmjYnEqv23XyN7muu4KJdd6S3MRxC5kabbUDe6MuimhXPmbnAweG8yNO6IvDUDMeFYTWQIYW9WVWRMOkSCH73DTMOPcTFJx/hlDsNJjV2RHJ7hXQNJsuIABEgAgmQgFRiUmvXroWnpydHeM2aNfDwMFQD3L17N+rXNyQyzZgxA97e3tHuAnu/f//+3Pt79uzh+6Gz102bNsWWLVu49z59+oRUqVJFK6d48eK4ceMG0qdPj3fv3iXAXY8flyQfQF+5ciVHxsHBAc7O1Ncufi6T6LVK5WYlNS5kDxEgAkTgbwSKjTmAr6FaZMIHnLPvbTzd3H0hf34E/I1LI5cPnYPXSAvXQhkR2K7M38yl9y1AQK8PQ55he+EnX4LW8sOCxjKdgHrTLWBBDFUcGA6cnctP3qKrhAGa7hhZrzA6uVAJ7hhSNMu0Ur5BOKJtFykouhfIVdEs8kUR8voGsFAomawLs0E+1So0KZ2DDvOIAtwgdMCGa5h8pxrkNnpBi9dJIHMxEbWKJDpSAOOEzhGd9cPxYLybSApJbMcJi7FUPZAHoZMpYTtKohnE0W3X3V3ABqE9zlN9RlTXzEDw+LqQyWxok0UisPXKSxzYHIiFyhmChtS5gb7XRNJoothXl4HFQjA2NEyBgqoVODGoGnKkTWqicFpuCoG1559j2LYbeGjXFgobnSCq6zEgS0lTRMd87bW1wPbu/Pxb+lyop56Ag/0qo0DG5DGXQzOtksC7r6Fc4HzDxefQhwkueLvmh7drAav0iYwmAkSACFgrAanEpIKCglCrluFA7oQJEzB06FDu36xvOetfzoaXlxeXkR7dYO8vWrSIX5c7t/BcjfVRZ33R2Th79izKlSsXpRitVssF13/8+IHKlSvj+PHj1rq1krNb8gF0mUzG9RFYt24dmjdvLjmAid0gqdysEvs+kP9EgAhYFwGdPgx5h+3ljC5uE4wddqMEB2QKQ19ImRnLRIaFAb7pAb2G1/Ovyhc3wvLCKVdqbOpWwboAJlBrv4Vq4DjmIGYq5qKhrdBjHC79ANcx0vH6xBTgiB9vT5CuFLpoBqJP9XzoX8tBOnYmAksKjdyPazJP2NloBW+7HAWylpKu95+fAzMdjexzDA1EucK5sbgtHeYRa+MGrDmNaQ8jlWvvex1InUssleLJvbIS2CkcPLumz4OGaj9QCV3xkHcaNwtL9MJ3FY0yJRTDnounUAzJkdrZhFe/uDmmFmUOisH7/zJXnn2K67vmY5oywkPDzMUBrxMiajVB9IdHwBzjz1CH0OXY0rs6imZNaYJgWmoqgXlHgxFw4Bpu23cyFtX3BpA6p6niY7b+/j5gXUt+7suwdHBRzcambuXhlCtNzGTQLKsj8EOlxaITj7H45GP8VEc4vPF/T+jvaavbUjKYCBCBBEBAKjGp5cuXo0MHQ6ur2bNno3dvw9+pYWFhyJYtG/777z8ULFgQd+/ejZZ6oUKFcO/ePWTNmpUrA89ioeHj4MGDqF27Nvdy0qRJGDx4cJRyzp07h/Lly3PvsSA+C+bTMA8ByQfQWd+Ar1+/4tKlSyhZ0kKnSs3DNlFIkcrNKlHAJieJABFIMAQ+/VCjpG8Q509N2SUsVkbILk6RDeh/2/y+TisEfPuPl9tRPRBH9KWQP0MyBPWvYn59JDHWBF5/+YXyE48gUDEFrrZXhfU1RgGVBsRanmgLLgYCewR7LuoLoJl6DNqWz4lxDczYekA0BxKGYFaxIP+wXXhk38bYoZ4XgPQSPsgQ+hWYlN3IZhfVLGTN5YANXoY/+GiYn4DPsoPwf9bMWLDPEyCpFT7wv7MD2Ci0Pnmsz4Tq6um4ONwV6ZPbmR8eSUSXUZOwWDaRJ6FOmglKn/vWReb1dWBhZd5mTZgt8qtW4vSQGsiaKol1+WJF1rKg57tDszFWsUKwOlcloP1uaXrxIwSYYsgWCh9lQudjdpdaqJA3nTRtTiRWjd9zB/tOXcApu77GHg99CdhZKPv7+TlgqeEhNhvfwpLAUbWEOwBYs3DGRLITicvNvTdfY9SO2wj5rorW8eT2ctwYXcso4JG4KJG3RIAIEAHLE5BKTMrd3R179xoSpI4ePYqqVavyMHr06IH58+dzr6PLHo8Y+Gbz582bZwRTrVYjQ4YM+PLlC1ig/fbt21F+3nTr1g0LFy7k1l64cAFOTk6W35QEqlHyAfRSpUrh+vXrYOUQqle3UF+jBLrZYrgllZuVGL6RTCJABIiAWASehPxAtanHOPGtbYPgp1gmqMpaBugSoXy3uYxYWAV4LZTLHKzpgg26akiXzA6XRriaSwvJMYEA66fnOv0ENijHwVl2T5BUdypQtosJks289NYWYHNHXuhDfVbUVE9BgxJZMKslHXY0M+1oxf1S6+A0aitu2Xc2nuN9C0hlHKC2lE0x0sMqYoxLC4QJGTzuqgnQZXTEfm8huBUjWTQpxgR8Fu+E/6tIhy2GvQaUVliS+NFRYFVD3vf3YSngpFqAwwOqIG/6ZDFmQhNjRoBlT3QbMRYLFUIJbnWKXFD2vx4zAVKZ9ekpMKu4kTWFQpdia9+aKJQ5hVSsTHB2TN5/D7Ynp2KgYpPgm0NdoNU6afqqVQN+6Y1sq66aCh/P+qhTNJM0bU4kVg3cdB33rpzAbrsRgscyOTAyBIiQqSUqjvf3gXlljVTkC12JiU1LoVkZCX/3EhVKwhV+781XuM06CfbV9W/j7NDqyJySDmP9jRO9TwSIABEwFwGxY1Iss7xly5awt7eP1uSIvctz5cqFhw8fQi6X8/MfPHiAIkWKgJVXL1OmDE6cOIEkSYTPil+/fnHl1lniMFt3584d5M+f/zd9Ecu4+/v7Y9CgQUZzWHCeyWF6qlSpgmPHDM+bLTW+ffuGJ0+egP1fp/u9UktkO5it1jQkH0BnNf5Hjx6Nvn37gl2UNKRFQOyblbS8JWuIABEgAuYhcPX5JzQKMJTo7iffhL7ybYLggvWAlmvMoyiilDXNgIcH+Z9M0TTHPF1DKGxt8MDPjU7Mm594rCWGXxd7lUNRWPZMWN9oIVBcKBcZa8HmXvDoCLCqES/1fVhKOKnmo0qB9FjR0fihorlVkzyBwIfvKtTx24SL9j2NsVhDVrF/HuDnB95uD/UwPEvhhNND6LCsWNf44AWbMPlNpMMWoz4CMluxVIon99UVYHE1Xr4qTA4H1Ups71kRJbKnEk9vIpUcqtFh8OgRmKUM4Amo0xaGsvdZ6yLy6xMw2bhlgXPoXMzuWhfOedJaly9WZO2I7TeR7dIkdJNHyDgv1hJobMiQkeQYnxnQ/ORNa6gaB88mjSlAGs+b1XnFRYTeP4zVSqEaBv7JAAx6aDnLvr8Dpho/2C4dOh/d3cuhc6U8lrODNFmEwNJTTzBu9x0jXTIboHmZ7Nh94zW+q4QWSss6OKGaQwaL2EVKiAARIAJEABA7JsUC4iwg3KRJE7i4uHD9zJMlS8b97ObNm1izZg1Onz7NbYVSqcSePXvg6vp7chIrp85Kr7PBqmuzEuxM1qNHjzB58mRcvWqoPvmnsutMJwvAs4A8G127duWC+ywYz7LeWbn279+/c6/PnDmDEiVKWOQSWbx4MQICAnDjxo0Y62Pl6Vmg35qG5APorHx78eLF8fr1a64cQkLLQmdlGFatWoVNmzZxmfYfP36EQqHgeh5UrFiR+4UoV67cX6+p/fv3Y9GiRVyJhvfv3yN9+vQoW7Yst75OnTp/XR/XCWLfrOJqF60jAkSACEiZwNH779Bh2UXOxInyxWglPyqY69QZcJ9mfvN39ASurublLtPWxlhtO+717bG18Y+dcErS/MpJYkwInHoYgtZLzuOEsi9yyN4LS1quBQq6x0SEZeZEGbxageLZU2NHz4qWsYG04MXHn2g9ZR2O2/U3pjH8LaCI/pS0JNDNLgV8fMSb0l3dFycVFXFrrFAWVRJ2JiAjBs1djSkhwmELvY0cstHCIQarcjWaHsWLO7qgcgHjzFGr8kuixn7+qcak8UMxSRHIW6jOXBpKryMStTgas/Q6YJxxy4KaKn/4tGlIpZdF3Env9VfhdMsXnvII1ZWcugDuU0XUaqLoaQWBb695IW3Vg1Glbit0csltomBabgqBJvPPIMuLPZijnCuISV8Q6HneFLGxWxtFhYIaqilwq1oFA2tLuH1O7Lyk2f8n4L//HgKOCd9XWeuzuR6l4JApORoHnMaV5595VkPdCsKrinH7BwJJBIgAESAC4hEQOybFAujPnkVIbInGFdbnfOnSpahZs2aUM/R6Pbp06cLNiW506tSJi+vJZLJo5wQHB6Nu3bpclntUI0WKFFxQv169euJB/79klmXODhbs2rWL+wmrWBbTwQLoMclSj6k8S8yTfACdQWAXSNOmTbka/x06dICHhweKFSsG1h+dQbfW8eLFC7A+CezUyp9Gv379MG3atCh95UrqdevG/ZJFN1gQfcGCBaKwEvtmZa17S3YTASJABP5EYPvVV/DeYCinvlThj+q2Qml1VBsBVDEux2MWmofGAqeEXuu7dc7opTH0EGRZn9T/0yyUTRKy/9ZrdFt9BVfsuiKNzXdBVrtdQG4JlTj6+ASYbXyilZXBzZw+LY4MEPo9mQSDFv+VwMO339Bn5irssxvKzw2zkcGGZRVL/fvx4hrAq0u83UM0nbFeVx3B490gt43+j8a/QqEJ0RIYNHMJpnwWDltobJNAMfKNdRKLokexU2gAxnhUh3uxzNbpk4Stfv3lFxb5D8JoxSreSm3OSpB3kGgP6z+xnJANUH/jZzRRjYZH0+ZoUjqbhHfAuk1jWcP/Bo/Ev7YRKha49AdcR0vXsXnOwHuhlU4vdW/kq94W3q4FpGtzIrCsxrRjqPBxG3wVywVvc5QHOu63rPcTsgJq4Xt6Y9UYFHZ2hV9DR8vaQdpEJ+Cz+To2XnrJ62lXPifGNijKvR669QbWXXjBv9e4VFZMb26ZjD/RHScFRIAIEAErICB2TIpliB86dIjL8L579y7evn2LDx8+cCXdM2bMyGV5s2B18+bNkTTp39uiscRgFr9jdoeEhCBdunRcn3IvLy+4ubnFiPiPHz+4HuksEZfFS1libvbs2bnAOqvenTNnzhjJMXUSs6F3796cGMaCxWtLly6NNGnS/PEQQLheVmbemobkA+i2tkJZQRYsjk3AXMolAVipAtbfPTx4zg4E9O/fHw4ODlwpiFOnTnFBc/aLwUZU/Q3Yz4cPH86VaWCDlYHw8fHhy0CwNeFlINg8Pz8/s1+bYt+szG4wCSQCRIAISIDA8tNPMGaXoRzcbuUwFJU9Faz6dw5Qqq35rTy3ANg/mJd7Xl8QLdSjuNd7+rigSJaU5tdJEmNFYPPllxi46Roe2LWF0iZC36Cux4AsEuot/uszMNn4i3n50DnQJs+Ci8N/L1kVKwg0OcYErr/4jLEBy7DVboywRpkMGPYqxjLibeLqJkDwIV79JE1LLND9i6sjayL1P8p4MyshK/aZNh/+34bwLqoUKWE3/Ll1uhxNj+IujWqjVdkc1umThK1+/P47Ns/sDx/FBt5Kff7akHlulLDV0Zg2vQjwVQiGdFAPQmV3T3SoSJnFYm1m84Vn0e3lEOPDoq5jAJd+Yqk0Xe6SWsALIat5mKYT7Mt1xqj6hU2XTRLiTKC0bxA8QtdjgGKzIMPBHWi1Ns4y47RwRlHgixA47ageiKRF3bnMZBoJi0DH5Rdx5N473qkBNQugdw1DCf9lp59g7P//nmevi2RJgT19KiUsAOQNESACREDCBCgmFX+b4+zszB0EKFy4ME6ePMklOSfkIfkA+p9KF/xtY6RcEmDLli1cVj0b5cuX5y62iIcF2M8vX77MvafRaLgL8d27d5DLhRK77KRJoUKFuL4BrA/CiRMnuF4H4ePnz59gJzouXbrErbt37x4XXDfnoJuVOWmSLCJABBILgVmHHmLGIUPvmot23ZHe5ovguudmIH/UpX9M4nNrC7C5Iy/ikT4zaqgNpeLXdHZGxXzpTBJPi00nwA5WTNx1Dfft2xsL630FSGvez2+TrNXrAd+0QJieF+OmmojHtrlx3y9mJ2dN0k+LOQLnHn/AnMDFWBOfvUDjuhebOwG3hAfg87X1MVnbCscGVkWudP/EVSqt+wOBwf4zMfmnkPEZap8e9kOCrZeZXyZA+4u3n/UorutWD10rS+heab10jSy//d8XHA7ogz7y7fzPw4o0gk2zCFmg1uJrQAXg3W3e2r7qHshTvSP6uhr3NLYWd6zBzrqzTmLMhwEoK7svmMtaFbGWRVIda5oBDw/y1rFDXiElemBqs+JStTjB28WSafIN34fhshXoKI+QcV6iNdBwnmX9X+ACvBGqSPZXd8P7vI2xqpOzZe0gbaITaDD3FK6/FP5On9DIER7OhoN6Zx6FwGOxcNBGKZfh7rg6sGVN0mkQASJABIiA6AQoJiU64mgVsHLxLOl37dq1aNGiRfwZYiHNkg+gjx071iQUo0dLszQYyzafMWMG59vOnTtRv379KP1s3Lgxtm3bxr3HstWLFjWUC2KjZ8+eCAgI4P599uzZKHulnzt3jgvCs9GrVy/MmTPHJJ6RF9PNyqw4SRgRIAKJhMDYXbex7PRT2EKHh3ZtIbOJ0C/G6ySQuZj5STw5CawQeuF8DUuKYipDP9N5HqWo7K35icda4twjD7Hs4EVctu9uvHZgMJBMYn19J+cGfn3k7WylHo6z+iJ44OcG9gCJhvgEjt57h7Ur52OxUmjNgNS5gL7XxVduqoY9A4GLi3kpa7XVMUzbGTt7VUSxbKlMlU7royAwdKI/JqrG8+/8TJoVSX0MlVCsckx1AL4LJejbqIegRNXGGFCLetCaez8vP/uIK4t7oot8ryC6hCfQ0PB3qFWNpW7A8zO8ySM17aEo50WZxSJuYmX/o1j4vTcKyYSMXTQOBIo1E1GriaK3dAZubuKFBGj/xXWHvljYpoyJgml5XAl8+aVB8bEHMV0RgMa2pwQxFXoDtcxfafGPdq6oDzw5wU8Zp2mDi5laYldvl7i6R+skSqDipCN49Vk4rLeoTWnUKpKJs/bDdxVK+wnVlNjPjgyogjzpk0nUGzKLCBABIpCwCFBMKv72MzyAzpJ/WSn7hD4kH0BPqBvAgtmsXwAbt27dQpEiRaJ0ddCgQZg6dSr3HsskZ/0E2GAncFmPg1evXqFgwYJcL4boBnv//v37yJYtG54/fx6rMvh/4083q78RoveJABEgAr8T6L/hGrZefYWM+Ijz9r2MJ4gVLH3/AJjnZKTLIXQ5VFBifKOi8HS2TK8cuh6iJzBp3z3sO3Eax+2EPsXc7OFvAYW9tNDNLgl8fMzb5KX2xgF9WVwe4Yq0yeykZWsCtWbvzdfYv24OZisjZF5lKAL0EIJDknX9iB9wYgpv3h5dWfTUeGNVp7KolF9ih0UkCzF2hg3388V4reFvCjZ+JM+DfwZcjZ0QKc2e6wSEGCq5sNFT3QfpnFvwvUmlZKq123LqYQieruiK1vLDgisse5hlEVvbWNsSeLCPt3qKpjneluhFmcUi7mMp3yDs1HZDNpsQQUurDYBDHRG1mih6zwDgouGQKRurtTWwJ4cP1nUtZ6JgWh5XAs8+/ECVKcewVOFv3A6gxmigUqTvzXFVEtN1G9sCd3bws2dpG2FzirY46VM9phJonhUQYM9cC47cD5VWqLi1pXsFlM4plKkt43cIId9VvDfzPUvBzTGzFXhHJhIBIkAErJ8AxaTibw9ZfPLatWsICgpC9eoJ//sPBdDj6VqbPXs2+vbty2mPSQY6K0f/+fNnsBMebDx+/Jgvx+7l5YUFCxZE6wl7f9GiRfy63LnN1+ONblbxdAGRWiJABKyaQHg/NUebx9hlN0LwRSYHRrwHZCJk8P76BEzOZcStYugsvEJ6DKrtgJ7V8lk104Rg/IjtN3H1/HHssRse4ZpQACPfAzYSKwe4uDrw6jJv52BNF2zQVaMS3Ba8EDdffolLW2dgkkJ4yI9sTkBn42wYC5oUc1Vn5gIHhev8lK4IWmuGUzWMmBOM9cwR40bCTz+bX/cjdSH80/dcrOVIZkGgK/DyIm/OUE0nqIq1xfQWCf8EvKX3IOjOW3xd1wlNbE8KquMj69Mcjm/1Am6s5yUt1LrjcoH+WNSWMovNgTeyDBaAKjBiHy7JOyGlzU/h7fZ7gVwVxVBpHpmHxwEnhQMiO3XlsTD9cOpvbB66cZJy7cVnNJx3GtuUo1BSFqH9SL2ZQJkOcZIZ50W7+gKXhRYWK7Q1MVXeBTfH1I6zSFooPQLfQjVwHCO0cmAWnhhUDTnSJuWN9Qw8h9PBH/jX3q754e1aQHrOkEVEgAgQgQRIgGJS8bepU6ZMweDBg+Ht7Y3p0yNURIw/k0TVTAF0UfFGL/z9+/fIly8fvn79iooVK+L48eO/9UC/evUqV5ZdrVajVatWXF+B8LFnzx7Uq2coxctKwbMLNrrB3mcl49lg6+rWrWs2r+lmZTaUJIgIEIFERKBxwGlcef4ZNWSXsUQZIYMrRVagv0gldcPCAL8MgE7Nk26gGofrYfnQpVJuDHcvnIh2QJqu9ttwDW+uH8Q6pVBmGUnSAIOfSM/g1U2AYCFQO1HTCgt19bGrlwscs6WUnr0J0KJV557h8a4pGK1YJXiXuzLQbpf0vb26BtjRg7fzpj4X6qsnIGJvSek7YV0WjhozGOMgHLj9nq44kvUSStBalzcAVjUGHgkZ0RM0rfC4QCcEtjOutGJ1fknQ4J3X/4Nsc3vUsxV6vaLKYKDaMAla+xeT9voAFxbyk9Zpq2FHjsFY39XQ8oyGeQmEanQoOHIfHtm1hm3EdkXdTgGZHM2rzJzSTs8CgkbxEo/pimNU8rE44VPNnFpIViwIHL3/Dh2WXcQRZX/kkQntO9B8JVC4QSwkmWHqoTHAKUM7RjZ26Cqgr6YXHk2oS/2vzYBXKiKehvxA1anHjMy5M642kirl/M/C27KF/8CtaCbMb22oGkqDCBABIkAExCVAMSlx+f5JukqlgrOzM1fx+uDBg6hUqVL8GWMBzVYVQNfr9Th27BjX7/vNmzf4+fMn/Pz8kDmzUCKHBZu1Wi0XjLazk3YJUdbb3NPTE79+/ULJkiW5IHiBAgXw/ft3nD59GtOmTcO3b9+4XgL79u1DpkyGXjtssIzz7t0NPVI3bdqEpk2bRnu5bN68Gc2aGXqMsXUsIz2m4+XLl3+cyso1hPdvP3HiBMqUifr0vlKp5A8I6HQ67lDAn0aSJEn4tzUaDben0Q2ZTGa010w20xHdkMvlUCgU/NuhoaFcSfzoBpvL1rDBrkF2k/jTYNcds4kNZjezP7rBKgvY2wtlef/mK7uuGcvwwWxhNsXUV3at/WnQPkVNh/aJfp/YlRH53mHK71Pduefw5MNPeNgexgTFEuHCy1IK6HqUu2+Ict+bXgT4KtzXO6sH4JC+NBqXyIzxDQrxdtB9L/o7pZifT7023ITswT6jntb6lDmg6nYhSoPic58Uu3pAfmcrb9d8bX1M1rbC2s7OqJAvHfdZSZ9PBjxi7dPSM8/x48hU+K4LOMoAACAASURBVCg28vugz18bqsYror2ApfI9QvZwP+y2tuftfKFPj0rqWehfIy+6uETdToK+75n2fW/yhGEYY7uUZ/49Y1kk6x7EfWe2yu/lmzoAt4V70FxtAxzL6oVV7UsZXf/0vTzq20Fsfp+2XP0Pmfd1Qg1boeS/puoIaJ0jtaCJoEqs+x5TYdL38iPjgRP+vKW7dc6Yl3Y4tnqV5X9mzu97UdEX83uE1P7O/a61QSW/3bhr39EIRajXeYSlMr7XS+XziRlqe201lAcG8jZf0edDB9sJOOdTOcpfqNj8PkX1NwU9jxCwRvc8YueNNxi87Q6u2nVFapvvwoJ2u4Hchoe2ov399H9t4fskPz8PimO+vA3HdcXQTjMEF4dVQ/oUhuxkem5k/Ktijfc9dtjdc9kV3pEkClvcHO1q9Hxv85X/MHLXPX5O7rRJcXSQcNDmb9eklO57zAlr3Kdw+PR9z/Tve/T5RM/Lre33ibU6rlzZ8N3swoULcHKig9RR3wnE+em7d+/QuHFjruV0nz594OHhwbWZjhjnEkez5aVaTQCdZU6zzXj69KkRpZs3b6JwYSFrbv78+WD9xZMlS4b//vsP//zzj+WpxkLjnTt3uFIHS5cu/S2ImzFjRq4cQteuXX/zg5VK8PHx4TSx4HqdOtH3EGPvh2eds37qAwYMiLGF7AFFTIe/vz93ACCqwU6ipEmThnvr48ePOHkyQgnAKBY0aCCcIg4ODsbt27ejNSN16tT8DZNNYieQ2N5HN/LmzYuiRYvybx84cADsj6HoBjsUkDVrVu5tFjBjJ2v+NGrVqsV/8WQ96tmNJLrBbiq1awulvm7duoVHjx5FOz9LlixGHwjs0MKnT5+inV+kSBGu0kH42LFD6NVF+0T7FNU1QL9Plvl9Gn7RFuyhord8M7zlQgAADnWBVusg2n1vUTXgP+FBwBBNZ6zXVYdjaj06FxSCM3Tfi/4uL+bn05LH/yDv+0OYoZzPG/AlSQ4cK+gXpUHxuU+OL1YiT4iQgb5WWw3DtF2woHUp1CmaGfT5JGyZWPu074UNir7ZjF5y4bP9c3ZXHE/XVvLfI9J+vweXhxN4O7+GJUUxVSBcs+hRP2fUgWL6fDLt8+nGhYMYqVjNM/+etRKSddltvd/Ld3kDl5fx/rASuguV7TG4uPGhP/peHvXtIDa/Tyde26DJq4moYCtUyLmbqwMepI4+G1es+x7zxqS/nyK1jzihc4S3bAhGlxKuG/r7KfrvQLH9fXIo7YLmU7fhgn1PI6F7HedBI09u9DMp/Z2b5dMFOD2dy9sXrM+CWuopmF5OF2VHndj8PjGh9Dwi+mssuudGx17bYMdTGwTbtYHMqJrBaSCT4dmOaH8//d/c8OdGOT4cR8nnwgHoa/o8aKj2w/o2hVCuSB56bhTF9or595NYv0/XP9hg6QNb3pvsaZJgvaeD0fO9p9+AGbeEjHT29PSubx3YKwzr6PmecDGItU/hGmL7+UTPYaO+D9M+xf7zKboV1njfs7bfpwcPHvCxMQqgR3/tivEOOwAWPlhSamzih2zunxLGxLDXVJlWEUAPDAzksqbDs4TTpUuHkJAQbnMiB9BZBgXLSGf9wlesWIHWrVubyki09ew04tixY7F48WKwUxtRDXZ6ZvTo0XB3dzd629fXF6NGGcqKHT58GNWrV4/WziNHjqBGjRrc+2zdiBER+u3+xbvY/AJQAN0Ak764RX1R0YMF0x58R6RKB1KivsZMeqDKeppZ6EAKK3jR/5wt9LDBBPlieMiPCg6V6QjUmyHeA6C1LYAH+3l90zRNMUfXGHmTh6FPUeHhsWQffFtwn+LjD6E595Oi/Jfd8FUIfRVD/nHA6QIReqL/j72zgI4iW8LwFw/uLruLuxPc3d3d3R0SPPji7g6Lu7u7BreFxd3JTJLJOz15dGdCAkkY6U7uPYezm5l7q/76q6etblUFAmZLP2V4tp70z5XA7XY/Nzr5dGdc7WzUzZPCar8nW/hJLS8Wtjy0p9DL5bR0VH7Tb/+szNE4dUO8u1NLgCLGt8eUvGla/jmV93LyJ4J6qUQA3dx+MvjD7bM76Oek9H7+8kcporXYoN0AulReWSqz/P+x0a8QI+w7mgRCxX25eTYg739iR4vnw0z6Dnulas+9WAVDPNfY8voUFJTJ7+nCMtiiZM5Lga8GfiMY4yYC6JbYKJ40c366z/iH/S59TNyyJcdC/O2UoJP0pbnPe0GPg7A8PyX46EXBe0qlgpf+sXHTzWScmy8uyvtCWYV4zrX8c+6O/+w59fgrl13bmrq25w2ImdT4mbUC6Enen8PtwVQZx7+GRBTXT2JunbSUzR2QUGKJ35MI+AV/ybHUffmx53asfaD84HOkiM2M6n+aBNB1ftD3jOm5bFuXwmRJFtDOSgTQFZ9Zyk/fNYj3sOI9rJruIyRviAB68MekOf0kAughPopZ/IvvlZfDo0iKNf6scnR4ZFp6jeoD6NJNsLQLXNqZUKJECaZPn24sByA5KrgAukSYlLEtBd2l4PnSpUstzWG45H/58sWYFS4FbKRdG1JWeIsWLUiVKpUxG/r06dMMHz6cY8eOGe2U+ph369ZN1mWtDHRRwt1ypVclZ/5WCUIQJXID/fpUWypS+MnkHCn8BJ91vuQdE9B3dr7TeEoHKolK8YFQvJ/lShBu7gwXlX7JUsbeEN8WpEkQja0d88m+En4K+dJuydJ2Umn/Cu9X0dfpHxmAX+rS6GsrWaOBkdnSTw5n5+J8QOkPetwvM418BuFROROtCv8lrk9WuD6N2HGLrBeH0iDQJhy/vG3Rlxwe4gGsmlKRn54RZWZOE5w5vOdQIHNqJtZWqgQFniBK5Ia/hPs3Hz+WjO1KD6f1MqVfU1ciapOV2i3hfvRv2K8c6/v8ctLTYQCn+5mWWBYlPYM/HYTl9zT90H0qn6xHRvv/ZGH6qrPwy1gjxHONLa9PQUGZnPeub4Y1SpWO+4bElNJP5NrgEnLmhCjhHvI9UFh/TxeefGbs/BVsdlHuF/wdo+Dd68EPSlRzfZKe0Z9dxHVpBRmjt78TGXRLONijIIljKu3Xvk8Iy+9JWqO2UvtaaCkn3fOcOHeOQy5BqikOeg5OAe3/flUu21x+sn90ApdVNeXj471/NHLo5rGgaS5KZQpoLylKuJv+xC35/GSp39OMQw+Yflg5V5XOmIjZjXL80KKxzJQTPH6vVLScWDc7NXMlD9UxqabzngRYi376fqSF9fqkhfNeSFdj4afgmRG/p8jXmlaUcA/5nt3S30gJwb8zpGRhLQ3VB9ClcuwzZ840ltyWfhjf+z//LIC+bNkymjVrZlxz5coVVfqjd+/exh7n0li8eLERb9AhbRqQdtEdPHjQuGHg4sWLZMuWzTjNWj3Qf0WeVC7dzS2gZ5wol/ErtsT3ggHBgGAAHr/7SuGxAVnnW50HktU+UGuSKlMh94/XA7Pxtn8EHJ0gi9vh50ZHn+4kiOHC2UGlzaZGCAofA3k999Hi2xI6Om5RBGSpDbWVMpHhk2yBVZdWwab2suBrhj+opB9N99Jp6V46+HYuFkARqUX2WXuZwlf6U83hhMJD4Z5QWgMPI/qvMCrgJfP3UUw3kZRpsrCslbKZJ1I72IzGf/jmw3LPlnQKdG75lqEmUeorJdDNqM46os7Mgx1Kj+IzhvTU8xnCPc+K2NuHvgWVdcBqW8voHTdocKoaf9q/UAypvxIymFZI04SV9w/BUqVV2Gv/mOTRzebG8PJEcQ4mtVgTRqkX5J5rz1m6YjHLnUcrIKMngt631QtaQvbmHkzLZYIxvfditnQvTfrEpqXn1W1IxEHXZdVFHl85zEaXQPc4jlHA/bn1jXxxDWYpFTgM/nak0S1jYr1cVM8Z0PpPDO0z4LHJi2WnHsqGNHBLweiaAe9jA4/WS86y74ZSUbRdsVQMqJBR+wQICwQDggHBgMoZEDEplTsoAsFTfQA9Y8aMSCUZpDLnLVu2lKn/WQD9xIkTFC5cmJgxYxpLuattSKXopTL0Ui9wqWf4rVu3QoR4/Phxoy3S6N69uzETXRrbtm2jSpUqxv+XPpO+C2lI3/fs2dP4tdRL/ns/dHPwIk5W5mBRyBAMCAYiEwNeTz5Qedoxo8mnXTqSyC7QdarhGkhXznJ0nJ4DO/vK8qWAQ139EJwd7Lk1snyY+tZYDmTklZxp8C76G+bT1HGvQsL/y/qrjpVbu2BVPRnWY//4FNZNNWafS1noYliegU4rL1DtRm/KOpxXlJVwh2KmpXItjyQcGqReFiMTgZ9OXlxVNwK75LnZ3KlQOASKJT9j4NUnHZvGNqeN4w55mi5LA1xqz9YucVfWwobWMv6bhhSU14/l6tCyxHB10q5dKkQ+eLMXnS5UMr1fabIRUofcQkyFZgRAenoR5haX4en9HUinW8o59zLEj+6iWthaBbbhwmP2rJvHbOfJignx0kCXQNctNRr35TWMT22CLI/3LGa3L0+eP+OqEXGEx9RkwWkc7u1lsfN4xdaYyaDndevb/vEpTDQNkGb3nkuPKm40L/SX9fEIjRZhoMPy8+z0UjZodC6Rht7l0v+ga/zum8w4eE/+vHj6BCxuEZBkJIZgQDAgGBAMWI4BEZOyHLdCsikDqg+gR48e3dg/SPpR5Mql7AL+WQD98uXL5MyZ01gaS+qJrrbx/PlzY592adSrV4/Vq5V+hEGxSuXcv5dnKV++PDt37jROuX//PlIPGWlI/eGljPSQhvT93Llz5XV//WW+m3pxslLb0SXwCAYEA2pn4Pjd1zSafxp7DNxxaYKDXaBSS+2OQJLsljPh2kZY21yWL5UuLamfaPz7+vByRHU27eFmOSBCclAG/Az+pB64g4lOM6npELDBwjgKdYMyIZfkthmTj07BQmWzx2d/V7LoFlInd3LG17HgMWwzg9WnuNXiszS/150iDl4KuHKjoEAn9YENDtGEdPBZyWhtqu/Hf3ELcrC3EtzShiHqR/n0/Tf2TmhCs0Cbc/Q5m+NcTekhrn4rgiC8vRtW1pU/fOIfj0K6aRzvX5JksQPK+YphHgakahceXuWJafdVEdhyN6TMbx4F1pTy9j5MNW0fkcF7EXv6lCdlvKjWRBIpdC058S9e22cw3ingXYRxJM0JbQ+p235fPYxMYIKxpG4C7s2qUjJDInVjj6DoKk87Stpn25nkPEuxMFEW6HDc+hb7fAPPxCZ6pSo6NUoVEVWYrO8Ni2msM/sEZ/99J8sfWiVTsBskNl96QrfVl5RTXCxXTgwoZTFcQrBgQDAgGBAMBDAgYlLiSLAWA6oPoMeIEYOvX78ay4Pnzp1b5uVnAfR9+/YZS5/HjRuX169fW4vLUOuRMCVIEPBAVqtWLdatWxfi2k+fPhkz6aVRuXJltm7davx/KYs9efLkPH361NgT/saNGyHKkLL4b968SbJkyfjvv//MmmEoTlahdruYKBgQDAgGjAxsv/IMKXM0Ae846xok0NXrNsSw4Iu5f4/D4oqyJz75RyGrLqA8+In+JUkqgg42O0qlEsvZh+1hntPflAmcUVzSHYqqMKP41S2YYZpdkcZ7KaUzJ2d2E+V+zWaERgLFDeaeovfjzuS2v6NYW3ky5GmhDeunu8FrpQpTF31njkcpzgWPMtrAryGU/77+wsnJjWjgGNA+RBq+bu1wrDhOQ1YEgRpkE8/369mu7kXIkDjg2UkM8zDQeeUFJt4qjbOdnyKw7WFImsM8Cqwp5etbGGe6mdzNewZLu1cVx40F/DDj4F3e7JvMYKdlivS/ikGzQK1qLKDXLCI9k4CPsmmkum44zevWFiW6zUJu2IUUGnOAsp82MCTwsfRnEWi+LezCzLFCqqLjq/S9rqYbTs4CpRlaNbM5pAsZKmCg5IRD3H/9RUYyrUFOqmRP+gOyW88/UW7yEZPPLw8pS6woohqOCtwoIAgGBAMRmAERk1KXc1+8eIGXl5ex4rY0pLis1F47USILvuO2EgWqD6CnT5+eu3fvsnz5cho0aCDT8rMAuoeHB56ensaMdalvutqGwWAgTpw4fPz4kaRJk/Lw4UNjtnxwI3Cp9i5dujB16lR5WseOHZk1K2AH7smTJ8mf/8csgFOnTlGgQAHjHGn+jBkzzEqHOFmZlU4hTDAgGIgEDKw4/ZBBG73IbPeA7S6DFIvtHMDjFdhbsAfn6zswPY8Jy1LmlTcubO9amMxJY0UCD6jTRClDtOCYA6xyGkkBh0DlKCuMg3zt1Af680uYkNYEV27vWWRIk4oVrTWYlag+hn+JqPqM44x+0Z6M9o+UuTXnQTYlK/eXQmw5YUE5+O+UjMDdpwWr/ctyx7OCWTd72tJEtei+/eITXtPrm1S38C/YDbuyKqxuEVrSXt6AmabnmlTey1ndrhBuf4kSy6GlMTTz2i0+yZx/y5tO7XQWEqQLzXJ1zfHzhRHxTDCV1o1jbPu65P4jjrqwRgA0Y3bexPnYeHo6BUoYyFAZ6q9Qv3V/Z4BPz2ScUpWUMlUa0qTAn+rHHgERZh68i7aG1XRz3KhYl6ka1F1qG2uDHB/N9P2Im70ik+ppcGORbRhUvdasQ3fzydtXxrmqTX4KpDa9fkhf6n0NSG24fA1KVbl17QuIdg+q97AAKBgQDGidARGTsr0HpQRfqer19OnTuX49+LY6mTJlQopptmnTRrPveVQfQJfIXbBgAZUqVZKzr6XDI6QAupTdLTnmzZs39OrVi3Hj1JlZ0bBhQ1atWmU80ocOHcqQIUN+OOrfvXtn7H/+/QDcvXu3MbP++5B6w2fOnBlfX1/y5MnDkSNH5HLv0hyp9H3RokWNmwikAL0kJ21a05fdv/tTEyer32VQrBcMCAYiGwNSNs743bcoaX+Bhc4TFPNjJIFeNy1Lx7f3MPYPEx2FdVN47J+Ala3zUTBNfMvqF9JDZEAKcJWddIRtzgPJYv+vMq/6LMjRUH3MBVPetJRuPNGSZWJL58LqwxsBEZWbdIQ571rzp71SBp16KyBjZW1Yu7Ie3N4lYx3vU5cZftW5Nqwc0VxEOwlzOtHryQf+nV2Hyg6nFbHF+kGJgeZUY11ZH57ApEwmOrN5z2Vy8+KixLKZPdF67n7mP61pKrW7F8ROYWZNVhI3KhnoP8vKauqG0rNlEwqnFfdA5vaA+6ar/HFuFG0cdyiiszeEGoHKcJtbqbnkBamS0lnfhYxlmtOpRBpzaRByQsmAFKBM576T4Y6LaBqoFQm5m0MVG7UimVkAXiovirvqO/E5XQ0WNs8bSqvENDUzoPP1I727co8qYd3XsyhpEsYIgO3vD/cOwL9H4Y9ClNvqzK2XynXFs0YWGuUzfeZWs70Cm2BAMCAY0CIDIiZlW69JccsqVaoYk3oDLo2B2pMGgmZnZ2f8q2DBgsbYbuzYsW0LPBzaVR9Al34M+fLlM+5QmD9/Pi1aBJSlDC6A/vjxY2rWrGkSME6TRp0POFJJdakkvVSeXhrSAdesWTNSpUqF1PdcyhyfPHkyjx4FZBWVKlUKqTR90DFgwADGjBlj/Fjq+96vXz9jb/R79+4xduxYLl68aPxOmjdq1KhwHCI/XyJOVmanVAgUDAgGIjgDo3bcYO6R+9R3OMAYp/mKtUlyQLvDlrVeuqEZER8Mym76yrqRePmnYmajXFTMmsSy+oX0EBm48OgdNWee4JBzjyAB0eWQsYo6mQsmCPEuXk7Rw9pK3io67iBrvzQnkd17RWPjDZBGI30XN7SDK6tl7HN9KzHKtxEnB5QkSSzRw9qch5F0fnkzr1aQ9hAeULS3OdVYV5buM4xOZqJT2hDWp14ZquUw/dy6wCKetpbTtrLwTWNTw/rch2g/ZuJpwvqJmeDjExlqc30fGjRqTbnMpj2NNWGLykF2W32R/F7DTNpHkK89VBircuTA/DLw+IyMc6BPK2IUasOAihnVjz2CIXz5yRs3z/1MdZpGVYeAl7TGUbgnlP4xEcUq5i+qCA+V/uuDfZrhlaweGzoWsop6ocSyDHyvDBZYy0WPMsSJ5gwvrsOu/vBAeW6fk8yT0feU9iBNC/zB8GpZLAtSSBcMCAYEA5GcARGTst0BIAXLixUrxrFjx4wg4sWLR926dY0x3MSJExuD6VJJd6kl95o1a4wttqXYrpQofPiwhd97W4AW1QfQJZul0uOzZ882Ei0FyOvUqUP9+vWNf69YscL43z179rB69Wpj8Fkaffv2ZfTo0RagzHwipYC4VJb+V33aS5YsaeyTLpV9DzqkcvBSlv7ChQtDBNaqVStjOQVp04G5hzhZmZtRIU8wIBiI6Az0XXeZNece081hPT2c1ivmpqsADZVgksV4GJ8WvryUxTfR9+eoIRujamSlYb6UFlMrBP+cgSO3X9F04RnOubQnvt1HZXLTzZCquDrpm5gZPj6WsbXQ9+Fq1Hyccxc9rK3hsDwj93HApzEx7b4p6lruhpQaKaG/sz+cVrIQ//EtTj/ftoge1uY/ek7df4NuUXWKOVxRhJcdCQW7mF+ZtSRKG8KGxwN/pS93Rd0oGlWvLLK+zOyDFhPXsuhja1OpA5+Bc1Qza7KSuB8yRztTok4HauRMbiUAkUdNq8VnqXHPncoOSrsOivaBku7qJ2F5bbi7V8Y5xqc+H3J3ZnTNrOrHHsEQfq/StNRpNEUdrirWlRkBhbraxtrVjeCm0n99ok9ttsVtwoFeKr1ntw1LmtV65fF7qk5XNkg42ttxe1B+7A+PhrMLTO49JCP/jVuY4k87yvbm+ysu/7QLaKUphmBAMCAYEAxYhgERk7IMr6GRKsVjmzRpYozJSlW2Z86cSYwY/6/SEkTA58+f6dSpE8uWLTPOD9qmOzT6bD1HEwF0Pz8/WrZsKRMdEmnfSwU0b97cWPb9e4kAW5P8M/1SqXkJ686dO7l27Rrv3783lluXdmvkzZvXeBBWrVr1l7bs2LHDGCSXTh5SQD5+/PjG9e3ataNChQoWo0CcrCxGrRAsGBAMRFAG2i07x+5rLxjpuIDGjvsVK61VhnBGPnillIqXSg5uMRSib/n0dCyuzqotEfRQMDFr59VndFhxgVsuzXCx81G+a3MAkuVWJwWzCsML5UVmD30HttsV47an5e471EmEbVBlHryTy3YNcbQzKADaHYUk2WwDKKxaD42BQ8pm191+eWjn05N/2uYnXyqNZraGlQMrzT965xWOS6tSwCFQX7IK4yFfWyshsJCasX/Ct3ey8Ho6D0qUr0H7YqktpDByim0xdgmLvgUJUg1+J5WE0yYhC8vDIyWL1d2nBRmr9hAbLyzgzbpzTtLpcV/TzTu2DHqGxcZ1rcBL6d0+07cq1zL1YEbDXGGRIuaagYHT999Qb+4ptjoPJGvgNkfVZkDOINUxzKAvVCI2d4KLy+WpC33LM8OlNec9xCbSUPGn8kkHb76kxeKzRpQO+NE26hH6uawzuecIbMK3qEnJ+FZpzRYnqhMXPMr88j2uymkQ8AQDggHBgKoZEDEp27lHarUtxTKLFy/OgQMHQgWkRIkSxuxzKU65ffv2UK1RyyRNBNC/k7V+/XpjVvmFCxeC5U/qfe7u7m7MThfDOgyIk5V1eBZaBAOCgYjDQL05Jzn94C3TnaaY9qMt0htKeVje0IUV4NEJWc8Qn2Ys8StH26KpGCjKUlqe/xA0rDn3H+7rznPbtZnpjM7nIb5KNzYsrhzQ++//Y5hPExb5VeDmiPK4OjnYjMvIoFjaNJpx4GZuugQ5XrpcgHgaCR6emg27+snuOmXISH29B/Oa5qFMpkSRwY1Ws3H/jRfEXlWJ3PZ3FJ1S31hp45aWx+Rs8P6hbEEbfU/SF6tP73LptWyV6rC3HDmbhb7Kb9XPwRUHjxeqwxlqQCvrwW2lt+04n3rEKdefNkVThVqEmBg6BipOOcqINz1Mzz2VJ0OegLZ8qh7besK5BTLE5b6l2JOqP0tbuqkadkQEt8vrOe2Xn+eoczdS2L9STKy/CjJUtI3Je9zhxDRZ93q/wvT168RdzwoiaGobj5hVq/Rc1nfdFVzQs9hpnOkGxBA0ZfWezyeUyixnBpYiYUxXs+ISwgQDggHBgGBAYUDEpGx3NCRJkoSXL1+ydu1aY7Xw0IwNGzZQu3ZtY9Lw06dPQ7NENXM0FUD/zppE8rlz54yOkrLTpTr7Uv9vqfe3GNZlQJysrMu30CYYEAxon4Hyk49w8/knVjh5UsjhmmJQWU8o2NnyBgYpOTjZtyaTfWtTN09yxtXObnn9QkOwDCw6/oCpW09x0bW96fe9bkMMlQYT/2kCN7bIeKf41mSSb23ODipNghguwtMWZMDbx498Huu47Bokg7jnTYiZxIKazSj68j+wUcF/w5CSCvoxTKiTndq5RSllMzLNLq9nJF9TniyBM/eqz4YcDcypxvqyZheB50pZ+l769sTI35ShVTNbH0sE1thq6CQWMFS20MclDk4D/tWuxevbwNU1Mv7ZvlXQFR9Ct9JptWuTSpEXGXeABZ87k85e6TlPrQWQtbZKEQeCtW8YHJsof7DFrwALE3uwqZPocW1t560+84j+G65y1aUVMQK3rWmxC/6wUZnso3/D/uEyFfv9ctLKpw9Xh5YlhquTtSkS+szMwKxD9xi76ybl7M8wx3nyj9IdXcFPD/5KFahGhmEc1yvXkWWt3CiSNoGZkQlxggHBgGBAMPCdARGTst2x4OLigq+vrzE+K8VkQzMuXrxI7ty5cXZ2lltwh2adGuZoMoCuBuIEhgAGxMlKHAmCAcGAYCBsDOQftZ/nH73Z4TyATPZK5hzVZ0GOhmETFp7ZW7rAhaXyysW+ZRnq25yymRIxt2me8EgUa8zAwLT9d1iz7yhHXXqYSlNzn9kQjqUDvYqRKkF0M7AiRITEwPuvesoPX80p1yA9rPs/AtdY2iDu9m5YWVfG+tQ/LgV10xlcORMtC/+lDRs0gnLzpSdkwRkcogAAIABJREFU3FDGNIhVexFkCd1ucdWaGaQKxlCfpnzM3oqJdXOoFrIWgbVxH8U8x7EydH20pDj3uaFFUwIwb+8NZ+fJ+Ff6luRhwVEMEFV4zO7TnMP3sN2vHUnt3iqyG62DtBooc31sMuwbIuM+5Jed4bGHix7XZj9Kfi1QCmb+vcuLu65NTSd3OgMJbFRx5NxC2Kbcs583pKWWfhhH+5YgRVwlC/nX1okZamRgxLbrLDj2gI4Om+jrpGy4MmLNVB3KDAepmskr5Vo4K3onxr5WNti4V8pI6yKisoka/SswCQYEAxGDARGTsp0fEyZMiNSWesuWLUjl3EMzpLLtVapUMbadlpKitTREAF1L3lIhVnGyUqFTBCTBgGBA1Qxk8NiJt4+BEy6dTV8oNvgH0pe3PPa9Q+C4spN+s19Buvl0xu2vuKxpZ6MsDstbrXoNo3fe4OiRA+xwGahgtXOAwW/Azk6d+PcOhuNTZGwb/QrRw6cTmzsVInuK2OrEHEFQPX3/jcZjl3PApbepRR6vwUEjmU+PTsPCsjL+L/4uZNYtoluptPQoky6CeEodZqw99x95t5TiT/tAZbfrr4QMoXvYVYcVwaAIUlFlok9tbqbvIDaDmdFhvn4GOnsMY3agDDx97NQ4dw++pZoZVVtO1P4RcFTpVbvNLz+nck9gZPWsltMZCSVLrUbSue/kvGNLYgbOGm65G1LmVz8j5xbBtu4yzguGNLRzGWussiOGdRkYveMG649c5JxrB1PFve9CdBtl+F7bCGuVNij3DEkopf+bbV0KkyWZRjYyWteNmtLWbfVFNl96yhDHJbRw3K1gz1oHas0P+HtdS/BaL393Im51Gj5VNobWyZ2c8XVEdTdNOV6AFQwIBjTFgIhJ2c5dJUuWNPYzr1GjBuvWrQsVkFq1arFx48Yw9U0PlWArTFJ9AH3WrFkUK1YMqb+5GOpjQJys1OcTgUgwIBhQLwNS2eUMHgF9N2+4NCeKnV4B22ovpLBCX0Up4CkFPv8/jvhlpanPANIlis6eHsXUS14ERzZo41XunNnNGpcRiqWusaF/oCoFauPg2CTYp5T1PeiXnRY+/VjeKh+F08ZXG9oIhefeq890nbiY7S6DZLv87Z2wG/xaO3a+ug0z8prgTeu9lMaF0jCkiijBbU5Hrjz9iOI7igXJAl0PaTUeCNrUES6tkKma51uRg390Y2UbDQTnzOlgC8r6rPPFY5g7k5xnyVr0CbLg3Om4BbVaWPTxqbDXw+Q+aFPW6aJygZlpl+55M3rs4J5LE+zt/BXpHU5AIg2c4702wDqlV/tdQ1IqGSZya2QFMzMlxP2Kgb7rLnPh/Cn2ufQ1nWrLTYP3D8HSajKe1/4xyaObLe6Bf+VMjXzfeP5pjt19zXSnqVR2OKWgLtQdygwL+PvIBDigPLc9j52L/M+Vja3Zk8dic+fCGrFYwBQMCAYEA9pjQMSkbOezmTNn0rlzZ+zs7PDw8GDIkCHG/w9uSJtqhw0bxvDhw41zpk+fTocOQTZF2s6UUGlWfQDd3t7eSK6U3l+0aFHjLgUpoJ4lS5ZQGSgmWZYBcbKyLL9CumBAMBCxGHjx0Zt8o/bjgp5brkrWgtHKzuchfhrLG3xhGWxReq1fNfxJFf0oEsZw4YzIqrE8/yFokDIdPl/ZygLnv5UZsVJCj6s2w/RLxecXw9Zu8rSLhjTU0A9nZqNcVMyqkT7cvzRSnRO8nnxg2PT5rHVR+m8aS7dLJdy1Mj6/hAmmPYfzeM+iaK5MIpBlZh8uPv6AynuKEt/uoyK52Vb4q6iZNVlZ3M7+cFoJ7P7jW5zlifqwtYt4YW0uT7z6pGPSmAGMclogi/RJ5oZTm73mUmF9OeeXwNaust5LhtTMTjuP2U1yWx9LBNYoHTslPLfg5dra1MruXhA7hfotv7sflittLl76x8ZNN5NbI8vj4uigfvwRCGGbped4d+Mw6wLf87jEhAH/2c7KZ5dhjnIN9fW3J41uGdMb5qJytqS2wyU0m4WB8pOPcPP5J1Y7jyC/faCWJeVGQ4GOATpu7YRV9WV9vs4xSfNRuicJCCBEcXLg2rBy2NurtJKYWZgSQgQDggHBgO0YEDEp23Hv4+ND9uzZuXnzpjFuKyU+N2/enHz58pEoUSLjZ8+fP+f06dMsWbKEa9euIQXSM2bMyOXLl3F0dLQd+HBo1kQA/btdgXcyxI0b1ySgni1btnCYL5b8LgPiZPW7DIr1ggHBQGRi4NbzT5SbfITEvPmxd3HfBxA1ruXpuLkDVjeQ9Tz2j09h3VScHe25NaJ8iLsGLQ8scmtoveQs0W5tYIrzTIWIhJmh4wn1EnNtE6xtJuP7Xr5ybK2s1MubUr24IwCys/++Zfrc2SxxVvoSEyMp9NJQX2JfPYw0Lb1aSjeevzLkZH4z08z0COAym5ow78h96u8vSAyTMsp7IGU+m+L6beUHR8PhMbKYHX5ujI81iIO9i/+2aCEggIH/3n5l8d998HBaLlPi91dxHJpt1i5FwVy7hv25lKUtrVAFSLushRn5g9dfaDBh/Y/3u/0eQhQNtHl5fB7ml5Tt9vZ3IoNuCefcSxM/ukuY+RALws9A3dknifVoD/OcJypCYqeE7jbcZPr+EUw2bfuQxXs+/au70Tj/H+E3VqxUBQN5Ru7j9Wcd+5x7k8b+qYKp1gLIWjvg73cPYYrpe+j83tN4Tjx5/uE+xfkjXjRV2CRACAYEA4KBiMaAiEnZ1qMPHz5EKuX+4MGDX75HloLnqVKl4sCBA6RMqb13haoPoL9//95YU//QoUPGf1evXsVgMBiPkMAB9Thx4lCkSBE5Qz1Hjhy2PYoiiXZxsookjhZmCgYEA2Zh4MyDt9Sdc5KMdg/Z6TIgkEy7gF7X9lbIaHl0ChaWk3V/9ncli26h8e8bw8sTxdkKGMzCZsQSUm/OSdI++oeRTosUw1Lkh1aB+u6pzeR7B2FZdRnVK/+Y5NXNxr1SRloXSaU2tBEKz+Hbr1i1eLpJX2LipYEu57Vlp2dS8PkiY66pG4rjH/lZ076AtuxQOdoZB+/S+lA+XOx8FaRtD0NSjT8vnZwBuwfKNh3zy0x3l+HGAJcY5mHg9otPbJ7akz5Oa2SB/ukrYtdglXkU2EJKMNeuDon/YV2HgrZAE2F1Xn38gZ4zVrM3aNntwW+tc7/7u8y+vgvTTasSpPdezM5eZUiVIPrvShfrw8BAmYmHyfFmG+Od5iqrkuSAdofDIMXMU3WfYHRyE6GFdVNoULYwnUpYoaKYmc0R4hQG/Az+pB20A4M/XHJpQ2w75T6Vplsg1f9bnvn7w+gUoP8kL+5sP5BtX5VqqXOb5KZs5sSCXsGAYEAwIBiwAAMiJmUBUsMo8suXLwwdOpQFCxYgxXCDG7Fjx6Z169YMHjyY6NG1eQ+t+gB6UOIlZxw5ckQOqF+5ckUOqEtzvwfVY8WKZcxQ37RpUxhdL6aHhQFxsgoLW2KuYEAwENkZ2HPtOW2XnaeA/TVWOXsqdESJA/3+tQ49wfQdTue9BD1OnBxQkiSxolgHh9BiwkDlaUcp/Hw5/Z1WK5+nLQuN1qqXqScXYF4JGZ/O35H0uiV0LZWOnmXSqRd3BEC2y+s5u1dONulLTOKs0P6YtqybmAk+PpExt9D34WmCouzuofHS4irzwsQ9t+h5Ikh2bcdTkDCjypCGEc7F5bC5k7zosiEVdQ2jRI/iMNL4s+mX/3vP0Tld6ewYKOM8S22orZR0N6M664gK5tpVI+4mdnQrYh39kUTLibuvmbBgGRtchioWO0eHgco5X9VUfH4FE0wDoVKbkfmdKpIjhQYy6FVNbtjA5fXcR/Wv6xnktFJZmLokNNkYNkHmnC0FT0fEB4OyMa2SzpNCRUoxsKLGr63m5EmDst581pF75D6c8eG2q1Jpy2hK0Hun+WXg8RnZyhUxWjHoVSn5715l0tGllGm7Ig1SIiALBgQDggFVMiBiUupxi16v5/z583h5efH27VsjMKl6uNSCO3fu3Dg7O6sHbDiQaC6AHtTGDx8+mATUpTr6gTPU/fz8wkGLWBJaBsTJKrRMiXmCAcGAYADWnPuPvuuuUMH+NLOcpyiUxE0NXS9Yh6Ivr2F8ahNdbt4zeEkcdnQtQqakMa2DQ2gxYaD4+IPU/rAoSJCiFtQOqA6gyvHmHkzLZQJNys5qWCgdQ6pkViXkiAJq48XHnFv3N55OgY4PtVcsCI78mQXh5TX5m+76jpyOUZqTA5SXjxHFZ7a0Y8KOK/Q+EyQ42OUCxDO9FtgSY7h0X98Ca5rISx8YElFCP4nbIysY25KI8fsMnLr/hmsLO9HKcaciLGcTqDb994XbSkIwmcWlo65lX9+ytkIUIfXuvvaclSsWBmk1kgR63dSGvb46GJnQBGtJ3QSGtaxOkbSm7Ue0YZB2UWYavIvOhhV0dNyiGJFFBffI49PAl1cypkb6ASTLVYFxtbNrl2yBnO8t15LwhpOuXUwZCdpybWs3OL9YnnMpTjmqP1OC7vXypGBsbdFuVBxWggHBgGDAEgyImJQlWBUyg2NA8wF0qYb+xYsXjRnpBw8eNJZ7l8oHSJ9L2egigG7ZA1+crCzLr5AuGBAMRCwGpD60njtu0NBhP6OcAmVvJcsDbfZbx1g/34CMCfxlfeV0Y7jln5KVbfJRMLX0nRjWZkDqtdfZew7NHfcoqnM3hyqBNlpYG9Sv9H19C+P+MpklbcYomjsrE+qIl4e/ou93vl9x+iEPtozF3WmFIsbW2VjhMWhRJXioZM0P8WnGWoeKXB9ePjzSxJoQGBi7+Sz9LgYpa97jGsQyLT+rOQLvH4alVWXYb/xjkFs3h4seZYgTTdu73NXii4O3XvJsWTsaOh5QILm1hYrj1QIx7Dg+PoOJGUzWlXZczD73GmGXJVaEyMD68485sH4OM5ynKnPip4fOSram6ukbmRh8v8kwq+uG06ZBXSplS6J66BEFoMHgT6qBOxjlOI+GjgcVs/K2gUoTbGvm9Lzw+raMoZO+Kz4ZqjG3aR7b4hLaf4uB43df02j+abLa3Weri7siy94R3F+BfaANemfmwY7e8pzX0dKS580w+e/i6ROwuEWQCkC/hU4sFgwIBgQDgoHvDIiYlDgWrMWA5gLogQPmUtD86NGjfPz40ciX9J00okSJQoECBShRogSDBg2yFpeRUo84WUVKtwujBQOCgXAyMH73TWYcvEdHh030DdRPFGuX6h7zB3gr/Wnq6905ZcjErEa5qJBVvBQMp3t/a1kGj514MoNaDkcVOQW7QNmRvyXXoouNmzHimagorRtHqoy5xctDixIP84/e5+MuT3o6rVM0ZagM9QMF1C2MwSziVzeCm9tkURN9ajPVryZ3PCvg5CAyiM3CMTBm3VH6e1U2Fdf7LkTXeBbl04swt7hsl97fgXS6pRzpU5KU8aKai75ILWfn1Wd8W9Oamg6B2kMU6gZlhmuXl2B6F5fxn8HeYY21a5MKkS858S/Xt09nrNM8BZ01N4yag5MJ6eHzc1lSU30/KlRvTAO3lOaQLmSEgoFP3j5kHbqHmU6TqegQaPNFsX5QYmAoJFhwyoKy8N9pWcEgn5bcSVmXNe0KWFCpEG1pBjZfekK31ZcoYX+RRc6BNovFCKaCxr/HYXFFGZLBzpF03xbii6Pxs0xJYor2IJZ2mJAvGBAMRFoGREwq0rre6oarPoAeNGB+7NgxpLLt0ggaMC9evDjSv3z58uHk5GR1MiOjQnGyioxeFzYLBgQD4WVg0MarrDj9iEGOy2njuEMRk60+1JwTXrFhXzc1J7y9L6/roO/GTkM+RtfMKl4Khp3N317h62cgzaCdzHGaSDmHc4q8EoOgWN/flm9RAaOSgf6zrKKmbigufxVgVdv8FlUb2YVP238Hp4PDaO+4NdB5pB7UnKstajZ1gkvLZcwLfcsz3Lcp591LEy+6i7ZsUTHa0av2MuBWbVOE/R+BaywVow4FNOk6Jl3PAo0M3otY37UUmZNq3LZQmG+NKVK7CNcNzangcFZRV3wAFO9vDfWW0WEwwPA4JrLL6ceyy7OdsYKdGOZhYPqBO7zfP8m0UkqqEtB0k3kUWEPKdDd4fUvW1FnfhWzlW9C2qMbbX1iDOzPpeP7Bm/yj97PKaSQFHK4rUsuPgfwdzKQlnGJW1oPbu+TF43zqsj9+E3b3KBpOgWKZGhhYcOwBI7Zdp67DQcYF3gCUOBu0D7TRWQL77R2M/dMEdhndOO74B1T4iR/dmXPuZdRglsAgGBAMCAYiHAMiJmV5lz569EhWkjKlsoE08OfhQRFYVnjWW3uN6gPoUsN5ETC39mERen3iZBV6rsRMwYBgQDDQaeUFtl95xgSn2dR2OKIQkr8jlB9tPYLmlYInSqB2oE8rVvqVom/59HQsnsZ6OIQmIwMfvvqQffgeVjh5UshB6QeNGl4O/spHEzPDx8fyrOb6PrxOUoxtXYL0W/6VHPF9mBgYt+smCY95BCn53wKqTA6THJtP3j0ITiq9lNf7FaGXTwcO9CpGqgTRbQ4vogAYtWwbA+81MjXH/SU4anyTQjBtJPJ6z2B62wrkS2VaHSOi+NLadqw+84jEWxtT3OGyolrKPpey0DU8DJ5JsPf5KltQQzeMVcO74OrkoGGr1AV99M4bRD0+jm6OGxRgmapB3aXqAvozNPPLwGMl61m6X45btB29y6XXjg0aR3r35WdKTzzMTuf+ZLRXXuJSYy5kr2db6za2h8urZAxzfSuxIGpLTg8M0jLFtiiF9jAyIN1jzzwUTMW4NGWgcaDKT9/l/p0RPj2VtXTRd2aroaDxb2lP1u2RoqpSGF0gpgsGBAOCgVAxIGJSoaLptyY5OAQ8G0mbjH19fWVZ3z8Pj/CgssIjw9prVB9At7e3l3eCV61alR49ehjLs4sMc2sfKsHrEycrdfhBoBAMCAa0wUDj+ac5dvc1853GU9rhogK6hDsU62M9I1bUgTtKr20pY2KmX3XaFU3FgIoZrYdDaDIy8OT9NwqNOcAW50Fks3+gsFJtBuRUeUnZmQXhpRL076bvyKU4ZTncp4TwrgUZGLrlGpnODKCu42FFS/5OUH6UBbVaQPSR8XBAaVOw1y8XbXx6s6lTIXKkiG0BhZFT5MhF63F/2NLU+CHvA97sann4+cCI+CYWlNKNZ0CTapTOlEjLlqkG++LjD8i4uz757G8qmCpOALc2qsEYHiCGcWmw//pKXtpYP4ApA3uIyhfhITOENVLVpVTnPWnluFOZId3TSPc2WhnLa8PdvTLaMT71+erWheHVsmjFAs3jvPzfe6rNOM5Jl84ksXur2NNoHaS1cWbvrgFwaqaMaY1vMTzowK2RFTTPe2Q2oO+6y6w595ghjkto4bhboSJHI6iu+Fv+YnktuLtP/nO6bzUm+CqbO04OKEmSWFEiM6XCdsGAYEAwYBEGREzKIrSaCJXistKQgt5+fn7yd98/Dw+CoLLCI8PaazQRQP9OikRwzJgxKVq0qLFUe7FixciZM6cotWbtoyaQPnGysiH5QrVgQDCgOQaqTDvG1ScfWO88hNz2dxT8lf6GvK2tZ0+QjIl5vhXx9G1MvTwpGFs7m/VwCE1GBm49/0S5yUc44NyTVPZKr01jlpaUraXmsbACPDohI/Twac5218pc8LDxS001c2YGbP3XX6HwpT5UdjilSCvaB0q6m0G6FUWcmQc7essKzxrSUUc/lCUt3SiWTuP9ua1I469UjZy3EvcnSqlbPzsnHIa8/tUybXzvmRR8vshYpUziZnXrUD1nMm3gVznKOYfvkX9/bbLbK21fjAFQtW/u+gWvhik5sX+n2NRO3wP33n1JETeqyj2iHXjdVl+kkNcQbW/0WtcKvJSM05m+VbmTtReT6uXQjiM0jvTEvdc0nHeamy7NcLXzUaxpvR+S57GtdYfHwUFPGcMev9y09enFzRHlRTUL23rmt7S3XHyWAzdfMs1pKlUC32cX6g5lhv0oe48HnJgqf77fkItWeuXednOnQmQXm0J/yydisWBAMCAYCI4BEZOy/HGxZMkSWUmzZs3k/w/8eXhQBJYVnvXWXqP6APrx48c5dOiQ8d/Jkyf5+jWg1Nr3/mRSQL1IkSLGgLr0TwTUrXsIiZOVdfkW2gQDggFtM1Bk3AH+e/uN/c69SG3/TDGm9iLIUtN6xu0aCKeUDKB1fkXp7dOecpkTMaeJjV9GWY8F1Wg6//AttWad5KxLBxLYfVBwNdkIqUuqBmewQFbWh9tKdtl4n7rM8a/BHc8KYoOjBT3XddVFql3vQanAlSxKDYEiPS2o1QKir66D9a1kwbcNySirH8+0Bjmpkj2pBRRGTpEjZy/G/blSclvvEA1nD6XcqKZZ+TsDfFKup830/ShdpSFNCpj2JNW0jTYEP2XfHSocqUY6+yeB7lkWQpZaNkT1+6r9ZxfG7vlVWVBPfXvadXUnfeIYvy9cSDAyIAWhat8bSEUHpQQ6xfpDiQHaYWhbTzi3QMa73LcUB9MMYEHzvNqxQeNI915/QeelJ7jl2tzUki4XIJ6Ne9EH2QR42pCBevrBnBpQisSxXDXOfOSFX236MS4//sBq5xHkt7+hEFFuFBTo9CMxl1fDxnby50/tElLwm9JSaW6T3JTNnDjyEiosFwwIBgQDFmJAxKQsRKwQ+wMDqg+gB0Ys1do/c+aMHFA/ceLELwPquXLlEm63IAPiZGVBcoVowUAgBnz8DPz39it/xY8mglIaPjKyDt3NJ29fzru0I57dJ8WSppshVXHrWRakbPJ+v5y08umD219xWdOugPVwCE1GBg7ffkWzhWe44dKcKHZ6hZXWByB5bnWzFEz/x1G+jbgxvDxRnEUvWUs5r83Sc7S804UCDtcVFRXGQT7lBZ6ldJtVrlTyUip9+f/xwj82+XQzGVk9C43z/2FWVZFZmOf02Qx63U+m4JtTHKIM+jdiUDIjH7xSyotLvUczlm1Bx+JpIoZ9NrZC6gXb4ERlUtgr5c5psBrSa7xEcZDqKe4+LajZbgi5UsaxMeMRR33d2Sfp8qQ3RRy8FKPKekLBztoxct8wODZRxrvFrwDLkw1hTXtxr2wtJ266+IQx/+znlGsXU5V9H0DUuNaCEbyeIJsAbxmSU04/jl3di5AhcUzbYhPaw82A1FZLaq+1z7k3aewDbTastQCy1v5R7rMrMKeIyeeZvRfwhYCy7eKeNtyuEAsFA4IBwcBPGRAxKXGAWIsBTQXQg5IiBdSlH8v3DHUpoP7lyxc5uKTFpvTWcry59IiTlbmYFHIEAyEzcP/VZ2rMPMGHbz7k/iMOq9vmx8khoA+JGNphwNfPQJpBO7HDwF2XJjjY+Svg2x2FJFYsnX52AWxXMlUvGNJQUz+c9IlisLtHUe2QGkGQbr/yjG4rz3DXtampRZ3OQoJ06rZyZz84PVvGuNq3OP1923JmYCkSxhTZN5ZyXuP5p+n9qAM57O8pKqpOh1xNLKXSMnIfn4f5SpUFnb8T6XVL6Fs+vQiAmpFxzylTGfTOQ5b4xSUh0QYEaiNiRl1WFzW/DDxWMlwH+rQidpG29C2fwepQIqLC4Vuv0+FcORLYfVTMs/amP0sQG0xv6yItPCmUJr4ltEVKmRWmHGX0m25BrlPTIFeQex01s3NsMuwbIiM85JedMfFGsqu7uFe2ltuWn3rIis3b2ekSqHKBnT14vIH/9+W0FpYf9ISwCfCftvnJlyqezWAJxeFnwN/fnwweu9D5Grjk0obYdkqLGJpugVTFfhTuqwPPJOCv9IatqRvKBf+AZ7iuJdPQs2z68IMSKwUDggHBgGAgWAZETMp2B8aRI0eMyvPmzUuUKAEbxn41vL29jYnR0pDac2tpaDqA/p1oqaz70aNH2bt3LwsWLODjx49INz5abEqvpYNHwipOVlrzmMCrRQaaLDjN0TtKr9Ip9XNQLYfo7ak1X779oifXiL3E5DNXXNuawu9xDWIlt55J1zbBWqV/zX1DYkrqJ5IopgunB5a2Hg6hycjAmrP/4bn+BJeDHhc9b0LMJOpm6eAoODxWxrjDz42OPt3Z17MYaRJGVzd2DaOrOfM4o5+3Jb39Y8WKkDJj1Gznm3swzbRaVHrvxTQvloEBFTKqGbmmsHlOnMCgjyNkzJ+ipiBG30BZoZqyJgjYYAKhX/J2YUT1LFq2SjXYB228yoBLpYlu561garUXUripBmO4gKxtDtc2ykun+lYnQ4OxosxuuMgMfpHUtmjR506mGZx1FkPmGmbUYmFR5xbBtu6yEmnDaeco4zgxoJSFFQvx3xmYc/geh3avZ5Wz0mucKHGh3wPbk/TkPMwLuglwsbEdVjlRstv2/gkHgk/ePmQdugdnfLjtqjwrG0V1PAUJQ7g3ne4Gr2/JGgf4tGKVX8B5on7eFIypZcWN8uGwWywRDAgGBANaZEDEpGznNXt7e6R/V65cIVOmTKECcu/ePdKmTWtcJyVFa2loMoAuBcyPHTsmZ56fP39eJl4KnH8f0aJF49OnQCVyteQZjWAVJyuNOErA1CwDLz96k3/0fgyBkpXbF0tN/wois0prTpUqCZT8+zB/2D3nsEuQPsUDn4JzNOuZ9OAILKki63vnH52curm4ONpza6TGy7Jaj0WzaVpw7AGLth/mmIvSo9gofMATcFF5EPrkTNitZAUd88tMY59BbOxYkJyiFK7ZjpGggqTMvrlvWmi/rPLXtzDuLxPz3LxnUMotG6NripeN5jqARo0fxcAvykaXjzFSE7PXBXOJt62cdS3Ba72MYYZvVe5m7cWkejlsiyuCaO/1zyXGXi+Bo51Bsaj9MUicVdsWbu4EF5fLNizwrUC8Wn9TPafYoGoux+YYvofdfm1IZPdeEdl4PaTR0EZNrw2wroWM/64hKTXsJnN1WDlz0STk/IKBiXtucefQCmY5T1Fmxk0NXVWqNU2zAAAgAElEQVRwDXt7H6bmNLEgg/cihtfKS928KYRvNcjAg9dfKDHhEEl4w8mgbQP63IdoIVQWCLIpa7FvWYb6NjcyUCJ9Aha10PimMw36UkAWDAgGIj4DIiZlOx9LQXApcfnq1athDqBrMeFZEwH0sATMCxQoQPHixSlWrBhubm44OTnZ7miKBJrFySoSOFmYaFMGFh57wPBtgXrcAtVyJGVKfdOHdZuCFMpDxcCFR++oOfMEOezussllsLLGwQXcX4CdXajkmGXScy+YXUgWZfC3I41uGQbsuTmiPK5Oone1WXgOpZCp+++wY98+drn0D7TCDoa8s+5xEUq8JtMuroDNHeWPrhr+pIp+FEtbulE0XYLwSBRrQsGA9HJv7acmxDcpqxxCaclQyLPZFIMfDDftYVpWN5a0WdyY0cg0M91mGCOA4tFjhjDAe7JsyYdYmYjV42QEsAzY1gPOLZRtWeZbmsNpBzC/WZ6IYZ+Nrei24jRT7pQ1RdHlAsRLbWNkv6l+Z384PUsWIrUfMVSZRsN8KX9TsFguMSAlNaQdtJPLTs2JZqdTSGm1D1Lk1Q5Jd/fD8poy3pf+sXHTzeTeqIo42Fvxvl07jJkd6Yht1/l6cj6jnRYospPnhdb7zK4rzAK/vYOxf5osy+89jZYVC9G2qMbPkWEmI2IsOPfvW2rPPklWu/tsdXFXjLJ3BPdXIbcNODweDo6U558yZKS+PqB1TuakMdne1bRHesRgS1ghGBAMCAZsy4CISdmO//AE0O/cuUP69OlxdHREr9fbDnw4NKs+gF6oUCHOnTsXbIZ59OjRKViwoBwwl+ruS04Qw3oMiJOV9bgWmiInA9WmH+Py4w8mxrv9GZc17QtETkI0bPXBmy9psfgsxe0vsth5vGJJjCTQ66Z1Lfv4FCaalqDL6T2bd8Tk5ICSJIkVuh421gUdcbWN2nGDC0d3sM5luGKkSywY8Ej9Rt/YBv80knE+NCSkmH4y0xvmpHK2pOrHr1GE+Uft54CuAVEDByZa74fkGgwajk4JOuU6V0c3GJfUhVneOp9GvaM+2GNHDaSffoYM7H28HMTuclh9QMODaN9QODZJXrnJryCrkg/mn3biPik8dAZd03XRIaY+rGb6cc8bEFPj5/f9I+DoBNmurX75eVF2Fq2LpDIHbZFehrePH5k8dnDftbEpFx1PQ0INVdF6fB7mKyW6vf2dyKBbwuXBZYkVVSRqWONA77/+CnEvTKev0z+KurTloNEaa6j/uQ6D4f+bAJVSceV1YyhZrAR9y2voOLc9k6pBsMvrGe2XX6CE/UUWheV5/eZ2WN1QtiOgutscwI740V04566hyhuq8YYAIhgQDAgGfs6AiEnZ7ggJTwBdar1drlw54sWLx6tXr2wHPhyaVR9AlxzyfcSIEQMpoP49wzxPnjw4OIgsuXD43WxLxMnKbFQKQYKBHxj4XkIs6BfJ40ThWD/lZY6gThsMbLz4mB7/XKaG/VEmOStZTyTMDB1PWNcIH2/wTGSis6RuAvf9k7KzWxEyJolpXTyRXNvAjVd5dnaz6YuamMmh5zX1M/PgKCypHOSF0VxG18xKAzeRyWcpB+YctouL/vVMxXc4CYlC13/KUrjCJXdyVnivbBZpre/Fy6Ql2dK5cLjEiUU/MjBhRC96+82Xv3if0I3YHfdGDKqOToT9w2RbDvjl4O8EI0W2l5m822XuDqY9bWAqrd+/ECWOmTTYSIy06ULafPH/IR03XsXn07VUWhsBilhqX33SUcpzE1dc25oaprXNF6/vwvTcJjak917Mvr7lSBE3asRymkqt6bzyAtmuT6Ct43YFYbb6UFMKTqpgSBnoUib6/0d9vTup8pZnVA2Nt7lQAbW2gLD81EPcN3lRx+EQ453mKhASZ4P2R0OG9PYBTDVtHSO1JHpJHGORuTsjK+DooLzbtoVtQqdgQDAgGIhoDIiYlPU8+uiRaXLPn3/+aSzhvmfPHmNf858NnU6H1P/cw8ODCxcuUKRIEWNbbi0N1QfQK1euLAfMc+fObWw0L4Z6GBAnK/X4QiCJeAxM2XeHSftu/2CYo72dsU+1KB2oLZ8vPv6AoVuv09JhJ4Odling/ywCzbdZ3xjPpODzRdZbUzeUC/7pWNUmPwVSh9DfzfooI4XGrqsuwtV1THWertibICN0OqV++59fhdlKoNPv/+0ABlTMJMpXWtB7OTw2ccmhmamGbpchjmkpUQtCMJ/o2UXg+RVZXm+fdpyNXYHDfUqYT0cklzRpWBd6+C+VWXiXtAhx2trgumMJP5xdANt7ypLPGtLRO8Y4cfyYiesuM9Yz7VVLU2nuL8HRxUwabCTmzDzY0VtWftqQgQMFFjOggml1Hhuh07za+68+0+TvdRx37WZqy4DH4BJDO/Z9fgUT0pjgzeM9iyVdK5E5aSzt2KFhpC0WnaHCvZHUdQxUNSV/Ryg/Wh1WST3QpV7o/x/t9N1xzFxNtKFRh3fCjGLyvttM3neHjg6b6OsUqMpBmtLQeH3I8qRqBKOTmzxbN9X344ghu3HNqQGlSBzLNcx4xALBgGBAMCAYCJkBEZOy3tERNIFZatckDSmIHtYxb948WrYM8nwZViFWnq/6ALqV+RDqwsiAOFmFkTAxXTAQSgaki1GpiYe5/0oJcAZeenpgKRLFFA9hoaRTFdO+P5D3dFxDV8dNCqaMVaFeoIC6tdBOygIf/pO1SVmf+wy5md04F+WzJLEWCqEHaLn4LInvrGJU4P6OKfJBqz3q50fKHJYyiAONLN7zaVEyG73Kplc/fg0ilK4PuQes5oJre1P0ve9A9ITas2hJVXigvBgf4dOY9S7VuDQ4SN9l7VmmGsRThrSjm91qGc/7FKWJ3eonL4JVgzwUQK6ug/Wt5Im3DMlp4DSZCx5lQrFYTPkVA10nL2Pq+87yNAP22A95K70t+dVSdX9/aRVsUs6hXoY/WZN7BcOrZVE3bo2gu/L4PX1nrGKXS/9AiO1g8NuQewir0TZfHYw0va5KFZs8W9cUm02t5K+6s0/S5skgyjicVzSWGATF+loJwS/UzCsJTxRs/Xza8Piv2qxonV8d+ASKMDHgvukqy089YojjElo47lbW5mgE1Wf+XNb80vD4rDxnlE8D5vpVMf69pXMhsiWPHSYsYrJgQDAgGBAM/JwBEZOy3hFijoRmV1dXunbtypgxY6wH3EyaRADdTERGVjHiZBVZPS/stjQDXk8+UHnasRDVbOxYkJwpNV4+09Ikqkz+0C3XWHziX0Y4LqSJ4z4FXe7mUGWK9dEGyfrs49OWtX7FRelt63uCunNOkuPREgY6rVK0/yrTwQY4g1Xp/QHGmJZqL+g9lbIF8zC0ama1oIxQOKTesqUHL+OYS9DMvifgEl17tq5pCtc3y7in+NZgil8d7o2qGK4dzdojwPKIpw9uSWd7JWD+/q9KxG620vKKraHhzl5YUVvW9Mw/LsV8Z3Lbs4I1tEd4Hd0nzGXy5z6ynb6OUXF0f6Z9u69vgTVNZDvuGxIzI8sa/q4bkC0oxu8xcOLuayYuWMI6l+GKIJdYMMC0/OPvabHS6pGJwfebrKy6bjgdG9ejbObEVgIQudVUnHKUYW96ktc+UFW2ihPArY06iFleC+4qz3WjfRpwLFEj0UZEHd4JM4oOy8+z0+s505ymUsUhUCWwQt2hjNIuJljBW7rChSXyV+v9CtPLp6Px73lN81Amk2n7tDCDEwsEA4IBwYBgwIQBEZOy3gGxZIlyfZO0tmjRwviuZsSIESRLlixEINIcKXCeJEkScubMSfToGnxfJWXa+3/Pubce57+t6cWLF3h5efH27VujrLhx45IlSxYSJRI3JL9NbhgFiJNVGAkT0wUDoWTAc/t15h19EOLsmY1yUTGryBIOJZ2qmNbjn0tsvPjkxwfywj2h9BDrY1xaDe4rfWc8fRoyz68y/cpnoEPx1NbHE4k1Si8Hy7+ab1qZIHMNqLNY/axIJQtHxAN/g4y1vG4MmXIWYGJd016A6jdGGwg/fPWh9oiF7HUJkn01+J22Mvu+0x3kheMS3zIM8W3B1aFlieHqpA2nqBil9Kg326MJHRy3yig/pK1JrEaLVIw6DNAenYaFSrWCz/6uZNEt5NbI8rg4OoRBkJgaHAM9xkxhkvdg+SudS1xcBoR8f6oZFu/uh+U1Zbgv/WMzJO0GZjU27XetGXtUBnSX13NWr5zPYufxCrKYyaHnNZUhDQWcCenh83N5olSWuWqtptTOnTwUi8WU32Wg+PiDzPvUibT2TxRRtRdCllq/K9o869e3hqtrZVmzfKuwPHpLjvcvaR75QopVGagz+wRn/33HKqeRFHC4ruguNwoKdPo5ltNzYKdyb37N8AeV9AGtBjxrZKFRvj+saotQJhgQDAgGIjoDIiZlOw9LGelScPzq1atkypTJdkCspFkzAXTp5c/cuXOZPn06168HupEJRJTksC5dutCmTRuRsWKlA0icrKxEtFATqRjwM/hTcMx+XnzUhWi3e6WMtC6SKlLxonVjpR5+B2+9YpnTKIo4eCnmlB0JBbtY37x1LcFLyUic6VuVcb71aVcslegBamVvFBt/kOYfZpmWCszVFKpOszKScKob8wd4v5cX19N5ECNDceY3yxNOgWLZzxh48dGbtqPnsNlFCWr5O0bBzl15wa8pBvcOgeOTZcib/ArS3aez8eVzsthRNGWKGsH6+BlYNqQBLR13yfA+ZmxAzHqz1Qg37Jhe3oSZ+UzWpfZexmn3csSPrvE+3WFnw+wreo8cywTfUbLcb9GSEaVP8M/iZlduSYH/nYEFSpl/aeNFpz+2sqSlmyW1RhrZ684/5sj6WUx1nq7YnCAjdAqU0akVNqa7wetbMtrO+i7kqtiKloX/0ooFmsaZZ+Q+dvi0IqGdcp9J4w2QppQ67NrRB87MlbGs9C3BKIcOeA0rpw58AkWYGCg54RD3X39hn3Nv0tg/VdbWnA/Z6vxc1oOjsKSyPEfn70Qm3UL8cKBrqbT0LJMuTFjEZMGAYEAwIBj4OQMiJmW7I+Tw4YAWfG5ubkSJEvHf2WgigP7u3TuqVKnCyZMnjc4JKWn+e+P6ggULsnXrVmLHFj1mLP1TEicrSzMs5EdGBk7ce03DeadNTM+cNCbXnn6UP2tV+C88Kkf8XV4Ryf81Zh7n4qP3bHMeSBb7fxXTqs2AnI2tb+r23nB2nskLn4G+baifNwVjamWzPp5IrDH3iL30102ljuMRhYUCnaGcpzZYmZwN3j+UsbbR9+TjH2X5p10BbeDXGMqHb77Q7++ZrHYeKSP3jxoPu773NWbJ/+EemwT7hsrYD/plp4VPP3Z0LUKmpDG1aZOKUH/V+7JheF0aO+6XUX3K2pwYtWzQOsQSvHx8BhMzmEjO7j2Xzb0r82f8aJbQGKlk9h02lHH+k2Sbv8ZMTdSeF7TPwYtrMKugiR11E21nTYfC2rdNBRYsPv6A2zumMcppgYImRT5otUcF6MIIYX4ZeHxGXjTQpxWJSnSgW+m0YRQkpoeHgYweuzhv35SodoE2lrfeD8lVsknz4Cg4PFY2bYefGx19unPHswJODvbhMVmssSEDWYfu5pO3L5dc2hDb7ouCpOkWSFXs58i+voVxphtrSunGc88/GQ3cUjC6pni+tqFrhWrBgGAgAjIgYlIR0KkqNUn1AXQpWF6sWDGOHQvoBRwvXjzq1q1Lvnz5SJw4sTGYLpV0P3PmDGvWrOH169fG7PPChQvzfTeESrmPELDEySpCuFEYoTIG+q+/wuqz/8moMiaJSYn0CZh56J78WYUsiUWZSZX57Vdwvu9oP+bSleR2r5Xp9VdBhoq/Wm7+74O88Nnll5f2Pj0onzkxs5uIEqbmJzxkienddzLZ7m8qOJxVJhUfAMX7WxNG+HXNLgLPr8jre+nbcyNRZXZ0KxJ+mWJliAzcev6JMVOnsChQaVz/WMmx66HB0riSlecWwbbusr0XDWmooR/O6rb5yZ8qnjgSfpOB91/17BlVm7qOAbvEpfE1d3uiVlFe+P+mCtsu13+BUUlNMBTRTWJW51pkSRbLttgigPaBg/szyn6WcuzEy0LULse1b9m7hzDFNJhRK85a1ndT2gFo30jbWTD9wB0+7v+bgU6rFBBpSkNjpfKR7dCFUfPy2nB3r7xojE99fAp0ExuZw0hjeKZLVdnSDdzKPdcmpss7nYEE6cMj0vxrTs2CXcr9+gm/TDT0cee8e2niiSoo5ufbghJ1vn6kd9+FE77ccW1qqqnjKUiY8dfag7R86KTvynZDfkpmSMjC5nl/vV7MEAwIBgQDgoFQMyBiUqGmSkz8TQZUH0BfsWIFTZo0MQbFGzZsyMyZM4kRI0awZn/+/JlOnTqxbNky4/zly5fToEGD36RILP8ZA+JkJY4PwYB5GZAe3PKO3MdHb19ZcP8KGYjm4ojHJqXsd/YUsdncqZB5lQtpFmUg14i9vP2i55pLC6IFzqJouRtS5reo7mCFn5oNu/rJX502ZKCefjD5/oorMoet6A2pvHLaQTt/LO0fml57VsT5U1VLqsADJXt+uE8T9saqydG+ov+jJVx0+b/3zJ31NzOcpyri46eHzkqGnCX0WkzmtU2wtpks/p4hCaX0fzOnSW7KZU5sMbWRRfDLj96cGF+D6g4nZJO/5etGlArDIwYF/v4wIj4YlPumSrpRDGpdj4Kp40cMG21ohYd7D0Y4LpQRfE2cl6jt99kQkZlUf3kD401bIdWKuoj1fZW+6GbSFCnFjN5xg+gnxtDFcZNif+aaUGeR9vhY1wq81sm4pZZHD7L3Znyd7NqzRWOIP3r7UHjoBq64tjVF3vMGxDTdOGUz0y6vho3tZPXXDX9QUT+a/b2KkTpBdJvBEorDzsDT998oOOYAiXnDKdcg7dX63IdoodjUuawG3DsgK5/qW52JvnXJkiwm27qIjcVh94pYIRgQDAgGQmZAxKTUcXRIyc2XLl3i8uXLxsTmb9++hVg9/DviwYOVdoTqsOLnKFQfQK9UqRI7d+6kePHiHDig3Ij8zKwSJUoYs88rVKjA9u3bteAHzWIUJyvNuk4AVykDe649p+2y8ybopD6wN599pNWSc/LnCWO4cGZQaZVaIWAFZUC6oUgzaCcOBj23XZVAkXFep7OQwAY90a6shQ2tZai3DMkppx9HhsQx2NW9qHCilRiQskNzDN/LJmd3ctgHKsEt9T+X+qBrYfzTGG5slZFO9q3JYucGXBosMvks4b7T99+wbsEYxjspPTdJmhPaHrKEOsvLvH8IllaT9bz2j0ke3WzG1c5G3TwpLK8/gmt4/O4rVyZWo6KDssFCX7gfzqUHRhzLx/4F397K9jTQD6JFo6aUFRswfsvH0gavMYM74+G0QpbzNUVRorZSzve/pcCWi311MDKhCYJajtNY766R664tuQuFbmnTb6pzw2nhuFuZnasZVA208SsUclQxZVtPOKeUol/uW4pj6QeJak1WcM6zD9+oPfofjrt2M9U24DG4BJ9UYwVYpipu74aVdeXPnvjHo5BuGus7FCT3H3GsDkcoDD8DVx6/p+r042S1u89WF3dFkL0juL8C+1CU5N/ZH04rVVvW+xWhl08HEsRw4ax4dxN+54iVggHBgGAgGAZETMr2h8WSJUsYNmwYDx8qLR1Dg8rPzy8001QzR/UB9CRJkvDy5UvWrl1LzZqh2xG+YcMGateubSzx/vTpU9WQHRGBiJNVRPSqsMmWDHRacYHtV5/JENz+jMua9gW4/vQjFacelT+3s4P/sXfVcVF0Xfhhdwm7UV87sBUVbAwEBVQM7MTCRMUOTMruRrBb9LW70VfsQFQUsRu72OT73eFjZhcBF9iYgXv/UXbuPec5z52dnZlTkb4uMJNo8SBnTIOoboaB77FyVJ1+HJb4jCsWQzVZGfsYyGaELLmok8Dm9iyW93G5UVu6AoVyWiBskgPdOQMx8OLTLzSccwanzEajjIj77qPjeqByOwOhSKeafUOBm5tZIWsVzvBXuSPK34WpCESHbhk49/ADTm3whY/pBk5wCTugj0CDRl/fAgK5vpKKOBHKSjdhcstK6N9QM0NUt0xmDmnRH34gekkrOIpvsgYrm06FuNHojEPA4urA5yesPQNlI9G8fX+0tymacWw0giU/pAqs9BmMsaY7We2/SzshSy/ubyPA0o3KuDiofPJDFMdVLugUNws7ZwzWjfxMLmXsrtuoc2cyOoi56jSo5wk4+QuPmZMzgAsLWNz7lfWwvfh0bPUwQvUo4bGXLsRR779jyMItOG7OVcyKgwlMpn7SzpmZLu1aLn5xBQhuxk7+GWeOytJ1WNvbFk0rFNRSCJ3GBwbOPHiPPuuvwl50U6NNEnIUBkY/0A7ixcXACS6r7oKyMnrIvSEyAR76uUAipu9utCOSzqIMUAYoA39ngPqk/s6RPmd4e3tj1qxZf802JxjIe0GSWJYwVCqVPqHpXDbvHejm5uZQKBS4du0aatSooRUBN2/ehI2NDczMzBAbG6vVGjopbQzQi1XaeKOrKANJMUCcrLZ+JyFVcD8k/u2qoHudEkjIUlVfFzrOHsXyZqVkCoCBBCdpeZPnOGaeqK/1lI+AWGJ4K17dANbYs3rlcWJYSTfCwlSMB74uhseTSTU+ePsNzotCcdl8CAqafOFY6LEHKCuQQIZj3sClZSz2EGUjjJEPQsQMJ6b9BB26ZeBYxFvc2DodE9V7y1o1B7rv0q0iQ0lLohdx5dhgeDhWg5ejEapzGMpuA+mJfPsd75c7o6GYawMT19wfJvU9DYTAAGpWNwLe3GYVjZEPRNWWQ+Bev6QBlGdcFTE/pNg2a4BGGW5p+bYw76oWvCNg85Uzi0Ms/cpa0Fk2Bdv9R9PALx3s6fBtN9Hy3hg4ibnqWbD3BhqP04F0A4u4sAg4OY1VelZpjXmW/rQcswG2gbSsmbFiHfaYT+e0meUAJr00gHYtVcQ8ApbZakwuF7sBszrZwq0mDeLSkkVeTNt57QXGhdxBR/FZzSpPhaoBg7hEhhTBJqrw9khVBM1kc5kllyc5oGBOC17YSkFQBigDlIGMwAD1SRlvFy9fvox69eoxz02Ojo6YO3cuiFO8Zs2azGfEl/v582fGn7ty5Urs27cPdnZ2TIJ0wYLCCzDkvQPd0tISHz9+xP79+0HKuWszSNl2V1dX5M+fn8lep0N/DNCLlf64pZIzHwNBodHwO3SfNVwiMmFKfeXJZsZEalWaegy/5VyZk50D66F2qbyZjygBWnz31Ve0WnoBdUX3sN3Mj7PAIhcw4blxLPr8FFis2b+xSmwQfiArHvg6M450OvTPwLWnn9Bh1SVEmPdBNhMpp7DfSaBYLf0D0IWGc3OBM9x5fUJpAw/5aIRNdEChXPRFkS4oVpex79YrPA2ZjBGSPdzHldoCnQTq1Ir9CswqrkFT/dglaNmwFrxbVtI1fZlOXvjLr/gV2Bx1RGrZUy3mAbU9Mg4XG1yBJ1ymq4+8J/I5emGofdmMY6MRLHn15TeOzOuD/pIjrHZ5tW4wdePK0xoBls5UKuZVhOQHV62uj2wsVs6YSO9/dMDwgI3X4P5oOBqIIzhpzrOAugLM8L+2DjjoxdpxQ1UWI3PMw7mxXBCqDiijIpJg4L+oGKxeG4gNZrO5ozn+AUZzz8tGJ+5nDDC3jAaMWrErMLhVffS1K2V0eBSA9gysPPsYs48+wBDxPowz3cEtLOsI9NitnaAnocCGVuzcb3FZUE0a3wLigKcdqhbNpZ0cOosyQBmgDFAG/soA9Un9lSK9Tejduzc2btyIkiVL4uHDh5BIJIiIiEDVqlUZB3riEu3EiT506FBYW1uDON9J0rOQBu8d6E2bNmX6mbdr1w4hISFacdu+fXv8+++/qeqbrpVgOukPBujFip4UlAHdMHDozhsM23YDKq6iCRwqWCK4N+dAc5h/Fo8//GQVLupcHW1rFNENACpFrwxceBSDHsGX4Sy6glVmizhdeUoBI27pVXeywmO/AbM0+wvbSRfhZZwldXwacEfORL5Hv3WXEW3RQ1PrkMuAZQUDIkmHqsuBwJGxrIDLqgroLJuKEyMbwaogT3pUpsM8vi3defUFvuwbjwEStZLt1t2AdgJ1apHyXb75gDiu+koLaQCsazXCTLeqfKNfcHiuP/sEcbAjqosec9hbLwNq9hScLckC3t4deHCQPbxQ3h6xdmMx0aVixrHRCJY8/vADlxb3Qg/JKVa70rYfxK24ctZGgKUzlYqltSH5GMnK85QNg4/3VOTNJqwXOjojRIeC3NdeweinA1BNxLVWQJvlQI1E9zo61Kk3UXf3ACF9WPFRqn/QUbIYN6c215tKKjiegeMRb7Fvy3IsN1vCUZK/POB5hT8UKRXx9zBqw1E6By2a2mNUM1pFhz8b9XckvgfvIfjCE0yTbEAfyTFuQfXuQNsVfxdAZnx8DCytqTG3Uuxa/IIFgnrZwrGS8LLutDOczqIMUAYoA4ZngPqkDM95gsZy5crh8ePHmD9/Pry84gNNU3Kgk+MdO3YEabutvsZ4FqROM+8d6CtWrICnpycTvTBlyhRMmzYt2bJqJEOTNK738fFh5ixbtgyDBwswyjl1e2jU2fRiZVT6qfIMwsDpB+8wYON1KNS95wDW9akF+/KWrJU9gy8j9FEM+/c45/IY0oRmVwnhNDh45zU8t95EF/FpzDIN4iAXsQE8ThvHBNJ/xrcAoJKz+l2lfgiPK42jXg1RoVBO4+DKZFrJuTFp6wXcsUiUDTryHpBLIAEyt3cA/w5gd+6+qjhcZLOwe3B92JTIk8l2VP/mbrz0FKJDozScWqjVH2g5X//K9aVhding9ydWeleZN/JXbYalXbVr36QvWBlB7qXHH5Frgz0qiZ5x5ritAap1ygjmxduwdyhwazNrT7DCBdE23vBvRwMw0m85NgoAACAASURBVLPJ915/w72V3TNGH+skiFCutof4zQ32yHi5BzxH+9D2SOk5af6/tvPqS5j5qjdKi95y0jptAiq11oF0A4uIOgVsdmOVvo/LjfrylXjk70LL/et5K/69+RJhIYsw23SN2rOTLeDBBfXoGYJ24mcWA6Tf2LkdpFNRua4TZrSpot16OosXDIzYfhP7br3GUtMlcBWHcZgaeAHNZmiHUfYTCPhHY669dD6exBVGQLuq6FZHs+KSdkLpLMoAZYAyQBlIigHqkzLeeZEjRw78+vULR48eRbNmzRgg9+/fR+XKlZn7Y9JS29TUVAMgqS7etm1b1KlTB5cuXTIe+DRo5r0DXS6XM+n9Dx48YDagUqVKIGUCCNmkZj757O3bt0z6/4YNG5hoB+JIr1ixIm7fvs2UEKBDfwzQi5X+uKWSMwcD/z2OQe91VyFT63tOLB/UuAwmuGhmn44LuY2d17iebz3rloBvW/pgLoQzZXPYM0zeexeDxfsx3nQ7B7lsM6CHdtVV9GLnvHLAj3esaHfZeJxTWWP7gLqoW1ozm0Iv+qlQbL/yHEv2nMF/FsM12ZjwArAQSBDDw2PAVs4Z9youHxpIl2J9n1poohYERLdbNwysPvcY+U8OR3vxBU5g/eFAc1/dKDCGlCU1gE/RrOaBMi/Iy7XCWrUqLMaAlRF0nnv4AUU2N0JZEVeqGh03AJXbZgTz4m04OgkIW87as1PRGBerzMDiLjQAIz2bfOP5Z7xe0wWt1B0JjcYCTSenRyxv1sZtaA2TJ+dYPKT0f5fhM1GOVk5J9x61XX4Ra953RQETrsc8eu4Fygiw7PnL60BQU5aT2DhTVJBuwD0fJ2Q1o++a0n2ypCBgU9gzPD0wB1NMuQAplG4C9NqnT7Wpl72oKvCFa8nVXzYaOaxbY2Hn6qmXRVcYjYEeQZdxISoG20z9UE98j8PhFADUG6o9rpnFASl37SNBoZdUlTHCwQojaVUC7XmkMykDlAHKwF8YoD4p450iFhYWID7bGzduMH5bMl68eIESJUowvlry/3/+0Qwou3nzJmxsbJAvXz58+PDBeODToJn3DnRi07Nnz0BKuT958uSvUb7EeV66dGmcPn0axYvT6L40nBOpWkIvVqmii06mDGgwQF5Mkge1XzKurzmZ0KteCcxoHR+1pT4WnniIxacesR85VrREkLtAeiRn8r1ffiYKc49FYqJkCwaql12u2glor5ZVYWieltcFPnB9BEfIhmCfyg6retjAuUohQ6PJlPqCQqOx8/BxHDcfr2n/1M+ASCQMTp6HAWudWKzf47KgqjSYyR52tda8aRaGQfxGufjkI5Q7Nxgu4qsc0CYTgSYT+A08JXSB9sBrzUzQJ8XbY+fAesK1iSfIT957h/LbG6CYSO0htet2oLwLTxDqAMbZWcDZmaygo8pa2FlmJg3ASCe1pHrBz/Xt4Si+yUlqOgVoNCadknmyfFs3IJJrhTFf3gFNB85DjeK0ckp6d8h50Xns/ewGCxOuyhFTcYlUXhLaiIkClmniLh+7HucmuqBQLguhWSMovKvOPcbv4/4YaarWf7qiK9BZzaHOB4tWNwLe3GaRjJEPxNfynbCmly0f0FEMWjJArlsP3n7HCbOxsBK94la5BQHVOmopBcCy2kAM1x4k4fm6a+3itDWR9izSmZQBygBl4K8MUJ/UXynS24RixYrh9evXOHv2LBo2bMjokclkyJYtG1QqFY4fPw4HBwcN/YcPH0arVq2Y/uckQ11IQxAOdELoz58/MX36dAQHB+PLly9Jcpw7d270798fU6dORfbs2YW0D4LFSi9Wgt06CtzIDES8/oqugWH4FqvQQNK+ZlHM7VANIpGm85xM2nH1OcbvDmfnVyqcE4dHxP9Q0cFvBgIO30fg+WjMkaxGJwmX7YQ6gwCX2cYDv64F8Owiq3+6vBfWK50xy60qutSmQWiG2JhFJx/i/KlD2GM+nVNnlgOYxFWbMASOdOl4fx9YUVdDRJnYTfBpZ43udUqkSzRd/CcDs48+QJ2LA9BEzL2sRTNfoEGiKgZCIm+TG/CYK8kaIO+KiwW749Bw+huX3m08HP4GNiF1UdBE7fmpxx6grOYDbXr1GHV92ErgKBdAclFZGYuLzMfOQTQAIz37cibyPUw3t4WdOIIT4zQTqDckPWL5s3bPAODODhbPKoUrqvVehPpl8/MHo0CRNJ97Asd/dtBE73kNyG8lPIt+fADmabbMso1diW0jXWFFqxXodT8XHI9EjvPT4SE5zOlJTT9qvaJTE76xDRB9lv3AV94d90v2wlYPzXtjQ8GhetLGgK3fScT8kOKWuQdym/zkhPTaD5RurL3QROfDTHlXrFa6wqGCJYJpZSXteaQzKQOUAcrAXxigPinjnSLOzs44ceIEVq1aBQ8Prh1l9erVER4ejn79+iEwMFADYPfu3bFt2zaULFkS0dFc9UHjWaG9ZsE40BNMItEM169fx927d/HpU3yvxLx586JKlSpMGQASxUCH4RigFyvDcU01ZRwG3n2LRYvFofj4U6ZhVIuqhbCkSw1IxElnnZ5/+AG91l5h1+TJaoqbU5tnHGIysCUJ5ffXmM5HM/F1ztImk4AmiTKPDcnDjh7A/QOsxsUKNyxUdGDaB5A2AnTonwH/Q/fw6OK/WG82h1OW4x9gNFcZQP8o0qnh2xtggWbLCevYQAx2saXnUTqpTWr5jAMRcL7aF3VED7jDpP856YMu1BHSF7jLZZgtV7TGrlx9cXasAMv98mwP9t58hcZ7ayOPyQ8OWe/DQMkGPEOaDjg3twD7OKduuKokxuVbhiM0yDAdpAJH775F/p2usBU95OS0WgjY9k2XXN4sPjgSuLaWhbNR0QyFuy1Hs0oFeQNRqECcA/biqMxdE/7oSCCHAKsbKaSAn6WGLU2l8zB3UHvYlMgr1C0SBG6fA/dgdXkSukrOcHiNHXycFHO7egMR/7JHlira4kQhD+z3tBMEzxQkoFTFwcr7MMRxCjyy6KVJyZAwwLKi9jT9Owi4vY2dv1bhDB9FL1QtkgsHhtFzQnsi6UzKAGWAMpAyA9QnZbwzxN/fH1OmTEGXLl2wdetWFsjMmTPh7e0NkUiESZMmoXPnzkyvdNJ2e8WKFUyl3UGDBmH5cq79mvGs0F6z4Bzo2ptGZxqCAXqxMgTLVEdGY2DZ6UeYd1ztZSQA+/IFsLqnLcwkyZdsjnr/A44L1LKXAdz3cUYWM3FGoyjD2TNg4zUcv/cOu8ymo5b6i+gW84DaXLSewQ3fPxy4sYFVu0HRDNMUfRinJ3Gi06F/BibuuYPv13ZimdlSTlmBCsDQy/pXrisNsl9AQGENaY2kC+HapD7GOtHzSFc0J8iZuCcc3W71QFXRU05025VA9W66VmU4eQdHAdeCWX1bFA5YaDEE1yY7Gg5DBtW089oLtDxgg2wmUs7C/qeAohmotOz9g8CO7qx9z1SW6J5tNS6M5/oWZ9Dt1atZ+269Qpk9LVBF41qzCqjeVa96DSb8+BTgvyWsut1KO0jaB6JN9SIGg5BRFbX22Yz9qkQ9gye9AcyyCtNkv0KA4jeLva3UByPcu8K+gqZjXZjG8Rf1+JA7sLs9Fq7iMA5kwzGAwxR+gU4UjLNJ4Yh1eYbh9Ogm/MJJ0STLAMk8JxnohfARYRbDNOeNjQay5dOevZMzgAsL2PmHlLUxVO4FyxzmuOJN72u1J5LOpAxQBigDKTNAfVLGO0MiIiJQtWpVpgL4y5cvkTNnTgYMcZaTJOenT5/+0ZaWtN0mSdC3bt1C0aJFjQc+DZp56UCXSqVMqfYjR44w/c+VSiXTeL5JkyZMlAJpNk8HPxigFyt+7ANFISwGJu8Nx+aw5yxo62K5sWNAXViYpuwI/yVToNLUYxrGnhrdGGUK0JYVfD8DOq2+hCtPPuGk2RiUFb3m4LYPBqomKnFpSGNOTgcuLGQ1HlDWxTD5cHStXQwz3aoZEkmm1TV8201kvbsZs0yDOA6K1gL6nxQOJ3FxgG8BQMX1Om0l9UPNuvbwaVNFOHYIBOmoHbcwNKILyojecIg7bgAqtxWIBUnAPOULhM5jDxxU1sVYjMR9X2fh2sQT5JvDnqHzkRowNVFyiAaGAoUz0DX+yXlggytr36e47GgqXodbtEpPus7CnVdfwOZAs0TXmvVA5XbpksubxWdnA2cDWDhHlbXw2XUtSJ9aOtLHQPtpq7HbZBwrJM5EDJOpHwGTP1tUpU+TgVbPKw/8eMsq6yUbj/ad3GmwhZ7pH7r1Bjrc94K9essaxxmAnZeeNadS/CkfIHS+xvOUX5axuDyJOktTyaTRpke+/Q6nRedRxSQaB80nczhMxMCUGECUfJLDH6AvBwJHxrIfX1OVQwfZdJAOfY/8W0CcRKs+oxlOFVMGKAOUAQEzQH1Sxt28c+fOQaFQoEaNGoxjPGEQX26PHj1w8SLXLpQcI471TZs2wdra2rjA06Cddw70R48ewcXFBU+ePEnSHBLRsGfPHtjb05KOadhvnS+hFyudU0oFZgIGiMNs/23OiTq4SRmMd9YuS9N6xnF8/c05qTb3qwM7K9qrke+njdPC84h89x3XzAchv8k3Dm7Pf4EyRsyQu7gEOMFlcYQqq6CnfBKcKxfCqp42fKc1Q+Aj1QmKR67FZNMtnD3knCDnhpDGnDLArxgWcTfZJBS0dsLCztWFZIUgsA7Zch3eDzuiiMlHDm+3XUA5Abf0+G8pcJx7YXleWRW95BPxOIC+aEzvSbkuNAp9TiW6ng+9AhQon17R/Fn/5jawuhGLRxEnQgX5ZuZFNSkTR0faGNh06SnsjzqgqAl3bUe3nUA5p7QJ5NuqS8uBY5NYVOQeKLL5JvRvWJpvSAWHp5v3PGw19eW+k+a5IJnIBQ8LzqBltYGYSBa2p2wY6rT2QM+6JQRnipAA9153BUOfDNWs3tVyAVCrH7/MSOIeZrDJZET40CBAfm1U8mguRsWge9Bl2ItuYp3ZXG5ijsLAaLWWSdoYRNqjkTZp/x8v4/LDThpf7eTKJAdY5rTQRgqdQxmgDFAGKAN/YYD6pPh9ikRGRoJkqhMnu5WVFeNoF+rglQOdZJ6TZvOE4JRGrly5mIb0Qkv3F+pJkhJuerHKiLtKbdI3A+RlwNnID6wa4jwnTnRthvOi83jw9js7dU6HauhkW0ybpXSOERmoE3AS777FIsq8JyQmKg7JgHPAP0Z0MCbqG3tXVRKtZAGoWzovtg+oZ0TGMo/qXmuvwCZ6JUZI9nBGV2oDdNooLBKW2gAfo1jMg2UjICvniuDetYRlhwDQ9l1/FfOetEVejZ7Wh4CSAu6reGMTsN+TZf+OqhRay/xxZ3pz5LQwFcCu8Bdi8Om76Hc+Ub/z4beAvKX4Czq1yD49AZZo/pZWjF2LGz5taZub1HKpNn/N+Wi0O9VYM/Cv136gdON0SOXR0uvrgQMjWEA3VGVxsfF2DHOw4hFI4UFRKFUYOMUPwWZcRq48RzGYjr4rPGMSEAc1A15eYfFPkvdDEcchGGpfVrg2CQB5x1X/wef1AFQUveDQugUB1TryC/3NzcA+rmVBwj1MdEALiGi2Mb/2Khk0pGXJiO230FF8FnNNA7lZhaoBg0JTZ8PLa0CQA7tGFidGOSl5rjPBwWF2qFIkV+rk0dmUAcoAZYAykCQD1CdFTwxDMcArBzop2+7h4cFkCtSqVQukIX3dunUhkUhw584d5u/9+/czx4cPH46FC7mys4YiTB96YmJisHbtWuzbtw+PHz/G58+fmTL1xYoVQ6NGjeDm5oZ69VJ2ZBw9ehSBgYG4cuUKPnz4gAIFCqB27doYMGAAnJ31F/lKL1b6OCOozIzOgNuKi7jx/AtrZkC7quhWR7tykcRxcvrBe3btSMdyGOFIX/Tx/ZwpP/kIzBXfccciUb9zr3Agt3Z7rxcbI48A27qwohMi5CsUyoGjXlw2n150U6EMA6S8v9OLxegnOcIxUqMH0Ga5sBha0xR4dZ3FPF7ugSfF2mPnIBqIoeuN7LYmDMEvXZHFRMaJ9jgNFBFw1Ygkelg3li3CpYlNUThXFl1TmKnkBR69jgFhiSqdjLoP5Pwn4/Dw6xMwRzMgoE7sMhzw7gjLHDTTK60bvez0I/Q+Z4fsJrGciH4ngGK10yqSX+vCQ4DdXCZrpKoo/q23GxNctKsKxS9j+IPmp1SBSTOmYLHZChaULH8lmHle4g/I1CLZ3AGIOsGumiXvAtiNpOdKanlM5XyXxaEI/NgHxURc4Dm6bgfKu6RSkp6nPzgEbO/GKnmuKoBGssW4O8MJ2c0lelZOxeuCgeALT+B78B6GiPdhnOkOTmRZR6DH7tSp+PoKWFhJY03N2FX4hJwIdreFQ8WCqZNHZ1MGKAOUAcpAkgxQnxQ9MQzFAK8c6K6urjh06BAqVaqE69evw9zc/A8eWrdujYMHD6J48eJMQ3qhj127dmHw4MH4+FGtDGcio9q0aYO9e/cmaWpcXBzTF544z5MbxIm+atUqvZQwpBcroZ+BFL8xGHCYfxaPP/xkVS/rVgOtqmn3Itv733BsucyVQOxsWwyzO2SgPqbG2BA964yVK1FhylEUM3mHUPORmtomvgLMjdjD/vllYC1X9vlXnDkqSdehcC4LXJrIRc7rmaJMLb7Nsgvo9nYuOkvOcjzUHQI4zxQWL5vaAY9Ps5j95d0QWqArDcTQwy62Xx6K3R9aaUoeEgZYVtSDNgOJfHoBWN+SVfYlLhuqS9fgxMhGsCqYw0AgMqaaVQcvYtC1FprGjXsCZOX6lAnecqUC8M2nYYajdA4CR3VH6QJG/I0VOLHzjj7AyEt1ITaJ4ywZGAoUziD3nZFHgW2dWdtIEOGamvswo00Vge+cceF/+inDgoBx8DNdxwKRFakLM49jxgWWHu0h/YC7IayEFYrWeGkzDiQImg79MdB47hns/dEDefhecefZf8A6zqn/LS4rqkmDcHmSAwrSct36O0F0KHn20QdYefYxpko2oq/kKCfZuhvQbmXqNCnlgG8BANxvp4t0Ju7HlcBMt6roWtuIwfOps4TOpgxQBigDvGaA+qR4vT0ZChyvHOjEKf7q1SusXr0a/fv3T5LosLAw1K9fn3EGf/r0CaScu1DHxo0b0adPH6hUKlhaWjKOdDs7O+TNmxdv375lstEPHDjA2Egc7UkNb29vBAQEMIdIL4Fx48ahTJkyzNo5c+bg5s2bzDEyz8/PT+dU0YuVzimlAjMBA7X8T+LDdylr6ca+tdGoHHnISmHEPALehiPwTRkEnHrJTmxolR+b+tXJBKwJ18S3X2NRd+YpVDN5jP3mXL9xiEyBKR8AY/ZnJefVMlsNcsvHrofINAvu++qveolwd1P3yJ0WnsfwT75oKeZKg6LxeMCe68uqe616kLirDxDBlaFfqmiL7dndcXFCosxXPajObCLbLTqBf7900DR7xB0gj4B7sb69C6ziyoyr4kxQRroJe4bYoUbxPJlti3Vq7/K9pzH0VjtNmcYO3tKphf8XFlAEkP1gJbtJp2PakD6wLpZbH9oyhcyZB25j4vVE1Wg8rwP5M0jZ6iehwAYuGOlzXHb4VzmMeR2tM8X+6svI119+Y9NcL4w33c6qUJRpBklPzgGtL916k3twFHAtmBW/WeGAsEqTsaxbTb2ppIIBW9/juKToAlMTJUfHwPNAYZ59R9/fB1bU1diyMrGbcGxUU5S1pEFcQjiXx4Xcxs5rL7HUdAlcxWEc5AZeQLMZqTdhXjngxzt2XW/ZWJxV1YCXoxW8HMulXh5dQRmgDFAGKAN/MEB9Uvo/KZ4/5xL4iN82Yah/nhYU6rLSst7Qa3jlQM+aNStIH/TLly/D1lbzhX4CMbGxsSDziAP90aNHKF26tKE504m++/fvMw5vYm/Dhg1ZR3lSwmUyGczMzP44FBUVhYoVK0KhUDB8nT9/HlmycGUuf/36hcaNG+PatWtMGfwHDx4wznVdDnqx0iWbVFZmYYCU85YquD7Ye4c2QPWUXvBGnwU2uQFxSsSa54Pt19n4gawMXeSh/OSoDNKLMoOeAJFvv8Np0Xk0Ft3GBrPZnJXZCwJjHhrX6p8fgbmav6Ok7O075MUDX2dYmIqNiy8TaCfZNb7fpqCROJyztrkfUH+YsKw/4AVc57LNNiqaYZ7EA3emOwnLDgGgbTt3P/b+7KmJdEwUkP0vgVh8ti2JcpfVYgOxop8D7Kzy8xk577Et3XUEwyK4Vh0M4CkxgDiD9ZZfUAn49ordj96ycfDoOxANytLzJ60nqd/uMEwOT3QNHxkB5CqaVpH8Wvf6JhDYhMUkjZNgZLnjWNFdwO0weMDwk5ifOLxoEIZK9rNolJXbQ9xxLQ/QpRHCyRnAhQXs4v3Kethdygcb+maQdgZppEXfy6yn7MNtcS9NNcNvAnl59g7w+1tgfnkNnDViV2H9UBcaxKXvk0RH8hPa5G0z9UM98T1OqlMAUI/rb6+1utWNgDe32emktdUOpT3Tto9WrtCaRTqRMkAZoAykyAD1Sen/BBGL498JEz8s8T8mjITP04Igsay0yDD0Gl450EUiEbMh4eHhTBn35Ia28wxNZmr0OTo64tSpU8ifPz+IM538m9oxdOhQrFgR31vs0qVLTL/4xINk7Cf0T/f09MTSpUtTq4ZerHTKGBWW2RlIKOetzsPp0Y2TLzEaFwessgPe3WWXTJb3wWZlM+bvbGZipr8auXbSwU8GLkd/ROfAMLQRXdDoB4kCFYGhahHuxoCvUgI+pOwtV2LOWToLD+KK44q3A+0da4A9qRNwEqtix6OGKIrT5roEsHE3gHYdqjgxDbi4iBW4V1kfoxSeiPJvAZGIXp90yDTcZm7HHulATZFCzyiW/QQCNFuZNJQuhHf3FnCuUkiX9GU6WUu3/Ythkb1Zu1UwgWjaZ+NWP9HHLiyvC3y4z0oeLvNEi27D6PmTDq59tp3G1MhE1QvGRgPZNMvlp0OFcZcmUYWnX/HDCO7LVcMwLkBhar//5hsuL++H3pLjrAFxNXvDpPViYRpEUF9YBJycxuI/q7TGksIzsWcIPVf0takKpQp1vbfjmsVgTRV8DBiUxwL+mn2t7aXz4d+vLerTIC59nSI6lUtaat1++RUnzMbCSsQF48EtCKjWMfW6tnYBHh5h1y2Ut8diZXs4VrREkHut1MujKygDlAHKAGXgDwaoA13/JwXxwZJBfA5KJVcRKOHztCBILCstMgy9hjrQDc04wGSCk8xxMqZPn45p07iHMW3hkN7nxYoVY0reV6hQgXHCJzfI8cjISBQtWhSkxIIuHW30YqXtjtF5lIF4BkjpdlLCXX1cn+yIfNnNk6bo9S0gUDPDfJ3CCTMUnHPt9rTmyJUlg2WSZaAT5ljEWwzcdB29xUcx3XQjZ1mJBkCfw8a3dHZJ4PdnFkdXmTcuqSozlQ1o2UH9b4/1jOMIUXppvqzpsA6o4qZ/5brUELoAOMWVODytrI6+8nEIn94cOSzo9UmXVLf3WYfdKi9NkVM/ASIBV4wgwWKkX6RKztrlKvVD7w7t0N4mg2S76vIkSIWsJRu3Y3g0F3AhNzGD6bQPqZAgkKnBTsALLiiNBBtatxuNjrbFBGIA/2DO2HAI05500wQ26TVglo1/YNOC6NsbYEEFjZV9LHdh3ZDmaZFG1/yfgVsvviBytTs6S85ynNQdCjjHt50T5Li2DjjI/e7eUJXFxDwLcWxkohYHgjSOn6C//pajtc9GnDMfpQnQ+x1gasE/0P6FAfkvFlc76QwM6tEFTpVpECD/NutPRA1mncarL79x03wA8phw7WDQax9QmqtUorUtiSpzbVU0xSRFf1Qrmgv7Pe20FkMnUgYoA5QBykDyDFCflP7Pjg0bNrBK3N05P4T652lBoS4rLesNvYY60A3NOABfX19MnTqV0RwREcFm23/+/BkxMTFMD/R8+VKO7I+OjmbLsQ8cOBCrVq1K1hJyPDAwkDlO1pUqVUpnVtOLlc6opIIyCQNR73/AccE5DWsf+rnATBIf1fXHODQGuLpG4+PjShsMkI9mPzvq1RAVCuXMJAwKz8ydV19g3O47GCkJwQgJ1yMaFVoBXbYY36AlNYFPj1kcQ2TDcVhVF3uG1EdN2ntY7/tDWjqcFQ9BYZNPnK7uuwErR73r1qmCa2uBgyNZkddVVmgvm4H/JjTFP7m59jI61ZlJhXWcugK7RBNZ61ViM4imZACH6Fwr4Od71q4esolo7toFveqVzKQ7rRuzl6zbiOHPuJYQseLssJiill2lGzXGl7KlI/CIy3idLe8CyxYT0KeB7p57jG+kYRFMDw7B9Bf9NJVO/Qz8PxPBsGj0oC32GzBLM8CiT+61WOfVXg/KMo/IsOiPeL+uO1qLL3FGNxwNOMS//xDkuLsHCOnDQo9S/QP3rMtxcUJTQZojBNCvv/yGx+xgHDL3ZuHGiUxhQu53+Fh57Y82ImPRukNvuNWkQYB8P99IclKFKUehUsjwyCJRy4AhYYBlfPJTqsa5OcAZf3bJKWUN9JOPRcGc5rg8SWDPeKkynE6mDFAGKAOGY4D6pAzHdWbXxEsH+uDBg2FpaZns3pCsbZJF/bd5RECCo5pPG92yZUscPnwYuXLlAnGab926FXPmzMGdO3dYmMTJTaIxRo8ejezZs/8B/9ChQ2jVqhXz+cKFC+HllSgTSW0FOT5qVHzkLlnXokULndFBL1Y6o5IKyiQM3Hj+GW4r/mOtzWIqxn1f56StJ+Xg5pcDYr9qHI9ESTjFclkca3vbomkFzbJxmYROQZgZeP4xAg4/wAzJOrhLTnCYa/YCWuu2rUaaCAlyBF5eZZd6y/tii9IR6/vUQpPyyf8Wp0kXXaTBAHlhU2riYYSb90MOk9/csb7HgeJ1hMXW3d1ASF8W8yNVETSTzcUxr0YoXyiHsGzhOdrO3guwX0+oWgAAIABJREFUw5TL9leY54Jk4nOeo9YC3rJaQMxDduJQ2XBUbu6OIU3KarGYTkmOgSVr1mD4qzHs4Z+meZHN+0nGI2x3fyB8F2vXSoUr5PbTMNzBKuPZaiCLpq/ahOlvPVltCpEZJFMzQLBOgkVMG5u8Gmz2zbIUa8cncqAYiO+Moubcww+QbuqM5uLrnElNJwONxgrXxKhTwGauMtD7uNxoLl6DW1NptQJ9bWrU+++YvGgVtpv5sSrisuSFyXie/n6tbKDRcs1LNgQ2rgPRkwYB6usU0Znc77FyVJ1+HIXwEWEWXMAhoyCtbUtubAL2c7+fd1Ul0UoWALHIBCR5gvxLB2WAMkAZoAykjwHqk0off3S19gzw0oGuPfy/z1Svz//32YaZQZzjT58+hbW1Nezs7LB8+fJkFVepUgXHjh3DP/9o9oUkGeckgICMXbt2oUOHDsnKCAkJQceO8X17yDqSka7tePnyZYpTb926BVdXV2bO+fPnYWtrm+R8MzMziMXxpUXJnshkshTlZsnCZavJ5XIoFIpk55O+C+bmXPlrIjulfZdIJDA15crJxsbGgjgxkhtkLllDhkqlglQqTRE7wZLQC4LgJviTGyQQxMKCK0H2N1sJh4TLhEGwEEzJjcS2/v6t5qBJYhHdp6SZ1OU+hUZ9xIAtt1lFljnMcHFcE41zMmGfxPf2wuzAoD9A/TDJhiq/uaz0aS3Lo4ttkWTPA/p9SpoaQ32f5h+PxNLTUVhiulQjG0dexxOKJpNZcMbaJ7OQnhA/5hz7c+WdsFzZFou7VEeb6kXodS/R6aPLfYqVK1Ez4AyeWPTQ1DL4ElCwEoT0+yR5dg6m2zuzdryLy4060hXY0qcmahbP/ceXkP4+JX8rkdJ9hFypgmfAYmw0m80KUGQrBMnYSOZvId9HqNY4QvRKM5gne71+8HIow9hG7/fSdr+3al0QRr7nfmu+mRVCtvH3Mtx9uenx8ZDc5ErMbVY4ILrWDEx2rUzvy5O43GjzfZq5ZiN8Po3jnjskOWA+Of7ZUEi/Tynd75nNKwWxkns+6isOwOoJA5K8L0/uqk2fnzSZOfngA3Lt6YZG4nDuQHN/yGsNTPGZ3lD35QRUat9HKJ5ehmQ95yyPjTNFVflG3JliT3+f9PQ+grQCWLZyCYLM5rPnkSpXcUgHXdE44XR5X574O56a90Zm29wgfs4FyU+X90LeJkPhYVci2Rs++t4oaWq0+X1SX5mafSLrEr/fi3z9GS7LwlDFJBoHzbn7pTgTMWLHvoC5RZbU30c8Ogls4aqZfIjLiVrS+Kqh50c3QIH/t+/j83Xvb88Uht4n+h6WO+v5ct1L6vtE94nu09+uHbq87l27dg2NGsW307ly5Qpq1aqV/EsWeoQykA4GeOdAT4ctfyzla1N6knn+7ds3xulLflxy586NWbNmwc3NDTlz5kR4eDiTOX/kyBHGpvr16yM0NJS9aSOfzZ07F+PGxb/QIPOcnZPJYP3/8YSs83nz5jFZ7dqO1PRLJ1n05cqVS1J0w4YNmdL0ZHz69ImxJ6XRpk0b9nBUVBRT6j65kSdPHvaCSeaQCKTXr18nO79MmTIggQkJgwQokJdAyQ0SFFCkSLxzkjg2jx/nykMmtaZ58+ZIuKEhPerJBT25QZznTk5O7OG7d+/i8WOulHLidSSQQv0HgQQtkCoGyY3KlSujbFkuc2vfvn0p8k73KWl6dLlPN2JMsOER16e2UJY4bO5eIcl9qhc1B5bf7yYJqlrsGnxDfA/KZkVUaFU8+Rfr9PuU9L4a6vs040AE1l18io2mMzVeJkb80xlRBVuy4Iy1TzWeBaL4pwssjiCFC/wUPeHbtgp61i1Br3uJTh9d7tNPORBwTYa7Fv01tXjdBXIXYwLohPL7ZJX1Gypd5DItfseZoaJ0PQZUUKJynj+D1OjvU/I/xyndR8QqgNPXb2K12UJWgCJ3aUi8bjJ/C/k+4uealsj2irsWzZF3xt0CrmhfKv73jd7vpe1+787d65giX8yeL+/FhSAZeinD3ZdXfL0L5d4dYO3cr6yH7XmGIniwI70vT+Jyo8336cLtCMxVccE6v80LIMvEKEaakH6fUrrfc7wzDNmUXKWnvoqJmNS7A31+SuYnSpvnXPKs0/KZH2qL4gO7mNFyPu5mqSvY59xnN06hxH4uA52YVD52PQLqiEC6cGnzfVKnlL6PSP4eKOF9xMWoGOxcOx+LzVawk79aFMPZilxZbHJAl/fliVGlZp9qRS/BP1+59z6LFG6IKOiW4jO6Nt+nBEy6fB+RFPuZ+b58VchxLI6QoInoJtabzWXpiZXkxrGqS5CmfXoXAaysr0F12diNUECCsdUUKBr/GodJlKLv95K+HtD3sMlfJ/ly3SMI6T7RfTLm79PDhw9Z3xh1oCd/LqbnyPPn+ql0WLx48fTAMvhaXjnQz53T7AusCzYaN26sCzE6lUEiJBMypEnkzYULF1C3bl0NHSSrmJRoT3CiJ84yV++jfurUKTRtmnz/rdOnT8PBwYGRT9ZNnsxFVf7NMOpApzcEKZ0j9MYtaXZSehC68NYEu55wDvRSOeKwpvOfDvQsshg0ixgNEyRdHaGFNAD34uL7wtbKr0IPK+pAN+aNW1JnQsILoPEhd7Dj2gscMJuEqqKn7NSbxfvheT7uN8pY36fKL7ei7IejLK7dSjuMlg/BWKfyGGpfljrQE22uLvfpixRYeePrn+UCxz8DsuQWlIOiVE4Vqp3rrcFWudgN6GIlgk1+6kDXVSDeNxlw7WaYxgtlRYHKkAyNz3oSsgP9+/rOyPGUuxatULTG2Tyd0L0sdaCnJ2Ay4k4YJik5B8QbSVGYDwnNcA70su8OofLrHew16IzSGktyjsVWT+pAT+oeRRuH36VbNzErjgvW+ZGtGLKPjQ/szCgO9CZ3xyCX/D1L0SCZF0b36QErK670Pw1A5s4gbRxJl9+boMuLqagmUiu13XYl7kqqCdaB/uTuFZQKaabxVbKNXYmRttmQ3ZQ60PUR0H8s4i1Ct86Cn+k6lveP2crhQjnNd1m6vC9PfK1MjQPd+nkwSn7k3meuUzjhTP6ebBBgUtdhbb5PCev4+pxL8Ak9QWbuthNY+1CMjuKzmGsayG7VlywlcK6Cb9oc6L8+AXNKaWx7/dgleI38GsHF1IFOE5nISUITmZJ+r0qvezQxkJwZKQV46duBfuPGDRw9epRJAiXvWd6/f89UMSHXbpLs2q9fP+b7q+0gsgIDA5ls+Q8fPqBAgQKoXbs2BgwYkGJirLr8X79+MZWsiZ+QJJySKszFihUDaRc9fPhw6NoxnVBNWlsbtZlHfI0pVZrWRoah5/DKgW5o442lj/Q0//nzJ6O+S5cu2LZtW5JQSNZ1QqY0yU7fvXs3O89QGei0hPufJZ5oSRrudKWlg5K+iqRUkiYw9CkWno5mFza2yoegXjZ/lIqUXJwP0wtcBHRiTQNkI3FcFV+epnbJ3NjgXjPZSxrdp9TvU1Ir0lpy2nPrDRy88wahZiNQTMT1DpW6rYfKiqseYqx9klxaDNPzM1mTTyuro698HAY2Lo2JLhVpCfdEJ4Mu9+nZp1/wXBaCk+ZciVxG3dRPgEgsrBK5sZ9gtriSBlvk5fKQFrXQtVbRP75Saf0+EUGpLb36tzJiQipB+OrLbwQt88cs0yCWU2WRWhB7nGT+/putuiyZltR1Mj2ljJX7R0B8Yz0rdpPCEeetxmNJp6rMZ0Lap8Tc6LIVTGp/n4JWzMKw74vYZTE5KiKP18UMV8JdfGsjzI5x19LrKissKr4MG/rWTn3p1f+zJeTv09+wa/N9mrdoDqZIF7DnzvecVsgxKj7DMqOUcDcJagqLj/dYG0fKBsN3ygxkz8K1B6MtsLirjjYlp7ddfYmGJ9vASvSKW9hhHeTlXQVbwl3++wdMZ2u2y2oqnYfVw9qjaJ748s60pVzSz1tpvd/bc+MlHu72xQTT7dz9TmkHyDpu0VCky/vyxBakpjS45IwPTK9wwWp7lHYIreyDgDaa98bqOrT5PiXMN+Z9hK7v93Tx+6SOKTX7RNYlLuG+4WI0ZhyKxBDxPowz5QLxlKXsIeu0jflup7pFI2kR6VcQUHLtH9tJZ+BmnBV8XCugY834Fp18vi/n2z7R97DcWc+X615S3ye6T3Sf/nbt0OV1T58l3ElCLgli/9vo2bMngoKCNNrtJl5D2gYPGjSIcZ4nN4gTnbRdTimRlVQsJo7yyEi1Kk9qAknF661btyKhCvXfsGtzPOH3T5u52s7ha8XwlPBTB7q2u6vDeYULF8bbt28ZiRs2bECvXr2SlV60aFGQMuAkmkS9bIKheqD/zWxSLp1Ey5BBy2X8jS16nDIAzDxyH6vPcQ70ttX/waIuNTSpIX3tl1gDX5IvleIj74m1ShdmXYl8WXFubHwPPjr4x0Df9Vdx+sF7hJv3Qw4Trs8m+hwBSmiWdjMK+mtrgYMjWdU3VWXRTuaDrrWLY6ZbvOOKDv0w8ODtN0xcvBb/mk9jFcSZZoOJd/LRxvpBogOpChngV0BDEHm53MHJHkOacK1EdKApU4uIev8dWxZPxDTTTdw5U6oJTNxTbtEiCNJOTAMuco7evcr62F1yOjb1qyMI+HwFuXyuN4b+XMbCi8lTA/lHnOUr3LTjursbCOnLrn+kKoKJhYMQMpgHv7Npt8qoKwP8JmGSYjmL4Vveqsg5nGuzYFRwOlIuW9McZq8us9Imy/tg9KQ5yJPNTEcaMp+YoNBoOJ1orhE0iq7bgfLxzy1CHXF+hWCi4O7j20p9MHN4H1QsnFOoJvEa96ZLT/H10FR4StTub6q0Bzqs5Sfu83OB034sthNKG+wuNxeretrwEy9FxTKw6ORDLDr5CFMlG9FXwlVCgnU3oN3KtDO1qBrw5Rm7nlQ4OaqqjZGO5TDCkatyknYFdCVlgDJAGcjcDOjTJ0Xa4RKHNck279ixI5NpTrK7STLHpUuXMH/+fMZfR0bXrl0Zx3Vyw9vbGwEBAczhGjVqMGXnSZUbIp+0Q755M74dH5nn58fdS6jL+/HjB9Py48GDB8zHHh4eTFIuCag5c+YMZs6cCTIna9asDL5q1arp5OQgfsuUxooVK5hWyiQ4jVTWIT7CggULggQNkIx9coy0QiaBFQT/4MGDGXHu7u46wWcoIdSBbiim1fSQk4mcQGT8rfx6vXr1EBYWxkQ9qvdBPXjwIFxdXRkZCxcuhJeXV7KWkOOjRo1ijh86dEinkSj6vFgZYWuoSsqA3hmYuCcc265wjvFe9UrAp00VTb3R54CNrTU/y18OiHnIfhascIGvoifzt5lYhAe+zhCJTPSOnypIPQOdVl/CzSfv8cgiUbDUkMuAZYXUC9T1inv7gJ0ctieqgrCXLUTLqoWxvHvylQ10DSMzyrv14gsWrFyBjWZcj1nkKAyMjr8pFtzwLwzIf7GwSaZF3cbOGO/Mg/NccGQmDfjuq684vGIMxpnu5CaUbwF0TbqakaDMDp0PnPJhIZ9S1sCywv74d0gDQZnBN7ArZ4/B4N9rWFgf8tdBAc/jfIOZfjyPTgJb2rNy3sblgXvujTg2slH6ZWdSCbN9RmG8Kpi1/qtlbeQaciJDsaHY2B6S6PgKHmTMlHdFr7ELUSR3lgxlpyGNWX4mCp3ONkUBE663PHrtA0o3MSQM3euaVx74EZ8EQUYv2XgMHzAItiXz6l4XlYiVZx/D4uRE9JEc49io6Q60XsJPdi6vBo5wVVDCVBWxvMRiGgTIz93SQDV5bzg2hz3HEtOlaC2+xB1r4AU0m5F2C9Y6A885edPlvbBe6YzudYrDvx0NUk87sXQlZYAyQBmIZ0CfPinSVpkkvLZv356t3KbOe0xMDBo0aABSRp4Mkq2eVDl3Uma9YsWKTBUmW1tbZp56FQlSkp1ku5NselJRhTjIiXM98Zg+fTpmzIj/TSJO97Fjx2pMIU7zRo0aMXrs7e1B2jnre/Tv3x/r1q1Ds2bNEBwcjIS2hYn1kkAD4vAnLcD69u2LNWu4dxP6xqgr+dSBrismUyGnT58+WL8+vkQlicIgJ1pyI8HZni1bNiaSJGFER0ezX6iBAwcyZR6SG+R4QpkIsq5UKc1ePKmA/sdUfV6s0oOLrqUM8JWBoVtv4NCdNyy8YU3LYnTz8ppwd3sA4WrOEctK8VkbxLnw/3FMaYuB8vjAGDKuejuiQA6u3CRf7c+MuFotDcW7V89x1WKIpvljHgHZLY1PyZNQYEMrFsfXuKywlgahoVV++tJHz7sTFv0RG4MWYYWZ2stAEizjGR9kJ7gxvwLwnbu+ucvGo1htV/i1pS+JdLWX155+wqWgkRgm2cuJ5HNGVmoMv7IGODyGXXFFVR6T88zF8ZGNUyOFzk3EwOqZwzFQykWOvy/YCJaDD2Q8nl5cBYIdWbt+xZmjWZbtuDihacaz1UAWzZ82FKNNNnP3B0UaI5fHfgNpN4wa1U53iO5x19PFinZoMWwprArmMAyADKhlwfFIeFxsrFl1qe9xoLjAq4ksqw3EcCUzPWXD0MF9OJqU58G9fAY8j+Yfj0SJ0DHoIFYrn1rPE3Dy56e1t7YBewex2O6qSmJKoRU0CJCfu6WBavDm6zhy9y22mfqhnphr6QGnAKDe0LRbsKs3EPEvu36lwhWzFV3hWLEggtxt0y6XrqQMUAYoA5QBhgFj+6TUk1tJ//HFixf/sTNDhw4FydImgzi569at+8cckjhLEmjJ8PT0xNKlSzXmkOxtS0tLfPnyhXHGk37sSZVWJ2XiV69ezawlDnkbG/1VwQkJCUGnTp2YrPL//vsvySADdSNI5j6x8fr160wra7JWSIM60I2wWyQ6g0RckLFy5UqmD0JyI3/+/Pj48SPKlSun0eOAlEIg5d1fv36NChUq4P79+8nKIF8uEsFCIkFevHiRYj+F1NJh7ItVavHS+ZQBYzPQM/gyQh/FsDC8W1SER6PSHKzfX4D55QFFLPcZeXgzyw4cGM5+dk9VAi1kXN/q/Z4NUK1obmObR/UnwUDTeWch/hiJE4n7XE+JAcSmxufsXQSwUrPEbZnYTahSNC/2edoZH18GRnA28j0Ob5yDOaZqEZhFbAAP/UeL6oXW5XWAD1z2/DCZJ0TVOmBx4jYVelGeOYReeBSDBxs80V9yhDO4Rg+gDVdmWbBM3NkJ7PFg4d9XFUf/rIupAzSdG7rGbxA8FFyFgvdFHGHpsTudUnm4/EMksDy+rVTCqImtuDG9JQ/BCgPS4in9MEIcwoL9WtIZuXpz/WGFYcVfUO4bCtzkggRIhSebgatQvRi9p07r/gYcvo+xlxvA1ETJiRgYChTWTSnJtOJK97qgZsDLK6yYSfJ+aNB5LFpWK5xu0VTAnwzMOBCBOldGwFmsFlTaZBLQZDw/6XpwCNjejcX2TGWJ/rmDcGIUDQLk54ZxqDqu+g9Xn37GCbOxsBLFl+NlhlsQUK1j2uEfnQSEcffne5R2GCUfAuuiuegzdtpZpSspA5QBygDLgLF9UiTRNUeO+KBb0pucONTVB/HdkZbMJAP7b747cpz0Nie+PtLCWb0X+okTJ5jy6GTMmjUL48cnfS+k7oifNGkS/P31F3RIkoFJljspXd+5c2etzsodO3Yw5e6bNm2Kkye5CmBaLTbyJOpAN8IGEIc46YNOIkjICUey0JMa586dQ5Mm8aXO+vXrh6CgII1pQ4YMYRzwZGgTxULmL1+u2xesxr5YGWH7qErKQLoYaLPsAm6/5Eoazm5fFZ1rFedkXg0GDnGZ5RBJgNGRwNtwYFNbdt43ZEO1WM7ptqqHDZyrFEoXNrpYPwzU9j+Jkj9uYae5L6fAPCcw8YV+FKZW6rc3wALNEts1Y1chV/7CODNG4OU2U8uFgecfvfsWV7f5Yoop9/KeKXFKSp0KcQQ7AS/CWOTe8r54Y9UNa3vXEqI1vMR88t47vNs6GN0lpzh8tQcALebyEm+qQEUeBbZxD18v4/KjpWglbk+Lf1ikI20MrPXpi74qzmH+vnhLWPZNvkdb2rTwYNX3t/EBiGrDRroK1wK66DR4mAeWGgSCUhWH1VN7YYiEyzj/btUWObqn3AfPIOB0qeTIeOAyV8ltm8IeJfoEoX6Z/LrUkqlkzdh7C9NuJXIael4D8gu85+/mDkAU18JglrwLSredjE61imWq/TWUseNCbqP17cGwE0dwKp1mAvUSVfQyFKC/6XlyHtgQ32KRjE9x2dHKYiP+m+jwt5X0uJEZIMHu0TE/cdN8APKYcFU/09164uIS4MQU1rqLysroLvdGoZwWCJtEzwsjbztVTxmgDGQABoztk/r06RPy5cvHMEnaLO/fr1mpS1fVo6dOnQpf3/j3ycn5/8gxUr49d+7c+PnzJ1POnfgV9TVIn3NSxp5kupO+7toM0uudZMUXKFAA796902YJb+ZQB7qRtkLd+U1KF3Tp0kUDyffv35mT/datW8znV65cYcoiqA/SZ6Fy5crJ9lH4/fs3IyOhj8K9e/dgZaXbB1djX6yMtH1ULWUgzQzYzzuLJzE/2fUru9eES1W1zIVAe+D1DU5+RVeg82bg42NgqWY/auJAJ450Mqa5VkKfBrprz5BmA+nCPxioMu0YGsgvYbXZQu5Y7hKA1x1+sKWQAn6a5ScdpHPxOWsp3JiSfIsRfoAXNop9t14hetcUjDRVywZN+M4L0bQtnYBHXK/KOfLOuFK0N0IGa1Y4EKJpfMF88M5rSHd5oL34AgepwQigGdc7nC9YU43j6UVgfQt2GWknYSMPxiN/F+oATTWZ3IIN03vAHVzJ9g+l3VCg17p0SOTpUvlvwF8zkLCRdCGOTO+FbOYSnoLmL6xfMgW2+3RHX8lRFuSPSt2QvVN88HaGGad8gdB5rDkHlHWRpetGOFYqmGFMNLQhU3dcgs99Z021XneB3AJ3NIf0A+5yFRlWKFrDwtkHfe3o85c+zrGhW27AI7IfqouiOfGtlwI1e+lDXfplvr4FBHKBI7I4MWxNtuLO9ETfhfRrohJ0zEDV6ccQGxuLRxaJzq0hYYBlxbRrCw8Bdvdj1z9WFYaDbD7EIhM88nOBSGSSdtl0JWWAMkAZoAwYvYT7v//+Czc3N2YnSE9y0ptcfRw6dAiklzoZCxcuhJeXV7K7Ro6PGhWfTEfWtWjBvRfp2LEjSMl0Mj5//sw4yZMb1tbWuHPnDuOkfv/+vd7OkqxZs0IqleLw4cNwcnLSSg/pge7i4gILCwuQ3u9CGtSBbqTd+vDhA2xtbZmyDBKJhCnjTr50OXPmRHh4OGbPns2UXSdj8ODBbL+ExHAnTpzIlG8gg0R8kDIOZcqUwePHjxkZJLqDDDIvICBA59ZSB7rOKaUCMzgDNr4n8PGnjLVya/86qF/2/1kuSZTSRredQDknIAknp4t0Ju7HlWBkDWhUGpNapOMBL4PzbizzSMme0pMOo5PoDGarl+n+pwYw4KyxYP2pN6AIIOMi7ttLp+G2SQXquNLzDu24+hzf9o2Hh+Qwp6l6d6BtfI8kwY3dHkD4Thb2KoUr/s03AMdGNhKcKXwFHHL9JbLu7YMWYq6MLJpMBJpM4Ctk7XGRSiuruLYRyjgTlJFuxgNfF1iYirWXQ2dqMLB5Wmf0MOGcoB/KdUWBblzGbYahKy4Ocb4FYKKSsya1kvoheKIHCua0yDBmGsqQzz9lODKzE7pJzrAqf9Xoh6xtFhgKgmH0hC4ATs1gdZ1S1sDPDlvR2vofw+jPgFombz4Fv6j4l4nsGBsNZIvP0BHsODgKuBbMwt+scMBn+9kY5qDbBAXB8qNj4O5rr2DKU3eUFb3mJHdcD1Rup2NNOhKXRLB7JdkGRPi3oUGAOqJYH2Ji5UpUmHIUhfARYRbDdHvdenoBWM+1kfkelwVVpfHXkKvejiiQw1wfJlGZlAHKAGUg0zCg7pM6cOAAqlevnqLtpDy6roZKpWJ6epOEV+a6fvUq4+dTH6tWrWJ8emTs2rULHTp0SFY9cZATRzkZZN3AgQPZuaRv+uXLl5EtWzaQsvEpDeKwJw54MkhwmLm5fn5rSLtokthLEoK3bNmiFa3du3dn+p+TNtUJPk+tFvJgEnWgG3ETSN/y1q1bIyoqKlkUpFc6+eKYmibdJ5d8YT08PLB27dpkZZDy74GBgRCJRDq3ljrQdU4pFZiBGSDOVCvvI1Co4lgrDw6zQ5UiuQBSenRDayAmkmMgR2GAZGyI/585Nb8C8P0Ne9xDNgonVPE/0KT/3vJumhnqGZhKwZj2W6ZExalHMUi8HxNMt3O4yzgAPffwx46FVYGvz/84t+75OCGrGc3c09dGbfjvKcwOe6GrmoMCdQYBLrP1pVK/cg+PBa4Esjq2KppiWTZPWr5Sh6xvDnuGIod6wl58m5NKss9JFrrQx+dnwGLNHrmVY4NxfrIr8mXXz4Of0CnTBv/2KW7oIuZK/n+s3Bv5Oi7WZqng5sTNKQOTXzEs7q4yb/h6DUZZy/jedHRoz8Cbr79xaV4HuKlVu5DWGQZzFz/thQhh5uVA4MhYFullVQU8abULXWqrtVcSgh08wui99iD8n3fXRDTpNWAWXzVLsOPkDOACF0CyX1kPEfUXYqILDWDWx552WPkflr3thkImnznxPXYDZR31oS79Mn/GAHPLaMixjV2JUJ/OyGJGgwDTT7B+JLz+8hv1Z51GFZNoHDSfzCkxEQNTYoD0vENNIqiC3Nf+RBYcGm6Hyv/k0o9RVCplgDJAGcgkDKj7pLQxmbyT19WYP38+xowZw4hr164d9uz58/3u3LlzMW7cOGbOkSNH4OycfFUacjwh63zevHkYPXo0C5VUnyZVpUnZ9Ldv36ZoAulHvnNnfFILKbGeUGJeV3YnyJkwYQKTcU96tc+cOZO1Mzk9xCbCBZlP/iVrhDSoA93Iu0X6EpA+5iTS5NGjR0wkiaWfmRhhAAAgAElEQVSlJRo0aMBEm9jb22uFkJRMIE5ycvEgX5D8+fMzJd+JDFIeQV+DOtD1xSyVmxEZIOUwK03lyhsTG8+PtUdxyef4nmmfHmuabTcKcJzGfRbcHHhxmf17urwX1ivjf4BrFs+NPUMaZETaBG3Th+9S1PI/iQmSrRgkOcjZUrUj0D6IP7atbgS84RxyY+UDsEvZBGETHVAoF83c09dGrT73GIVPDkVr8SVORcPRgMNUfanUr9zTfsB5rhf3QWUdTBSNRvgM7Uo66RdcxpAeFBqNKie6oa7oPmdQi3lAbQ/hG/j7MzC7pIYddWOXYsfY9iiRT+COFyPtDnlJsHtqa3QQn2cRfLIeiLztNMvLGQme7tUuqQF84sr9DpR5YdAgL9Qonkf3ujK4xKcxP3FvcVuNaheKhuMgcfDOWJbf2grsjc8MISNcVRJXmu9FP1qWO8377L16F/zf9NdcP/Vz+hxRaUajw4UXFgEnueeys0prnLRZDr+2VXWohIpKYMBlcSh2feqA7CaxHCn9TgDFavOTpCSqxdlL52PnpJ4005ifO8aguvPyC1ovu4gmoptYb8Y9wyB7IWCMWmJDWmyQ/QIC1Fr1AWgqnYfouH+wrnct2FfQbKGWFhV0DWWAMkAZyMwMGMuBTnqLOzo6Mi2ViQ+PlEwnzu3Eg/QtJ/3LyTh16hSaNm2a7HadPn0aDg4OzHGybvJkLqiLVJom/dSLFSvGVLJOafTq1QubNm1iprx48QK6zLpX1/vlyxdUqlSJ7WVerVo1uLu7M75IwglxlJM+52SPCB7Sopq8myhcuDAiIiJSLEPPx3OaOtD5uCsCwkQd6ALaLArV6Ay8/RqLujO5LDAC6PaICsi10w34/FQTH+mRPfAckEXtpe/u/kD4LnZekMIFfoqezN+Fc1ng0sT4H1s6+MPAs48/0XjuWcySBKKLRK1ke+0BQAu1h3RjQ97UDnh8mkURIO+KQKUrjnk1QvlCNHNPX9uz+OQjVDo3AM3ENzgVTacAjeIjWQU3/lsKHOdu9M8rq8JdMRGP/VvQPn862szlZ6LQ4ExHzZ6gbVYANRJl++lIn0HFqJSAT14NlY7SOVg8rAvN0knjRkgVShyf0QKu4jBWwhfbEcjdyieNEnm+LLAJ8Dq+fRUZJBisde9xaGhVgOfA+QfvwdtveL3cFU3Ft1hwcQ7TYdJwJP/ApgfRvX3ATq7vbbSqEA43OQjPprQsd1pp9V6+Cf4fPNnlCpEZJFM/pFUcf9ZdWwcc5HpX3lCVxabKwVjYOeVyofwxQFhIGs8+hXO/E7UCGHwJKFiJt4bE+VrCRCll8blK/bB0dF+UzE+DAPm6aWcevEef9VfRUXwWc025KlooVA0YFJp+2LOKA7FfWTmkMs4lVWXMbl8VnWvRSifpJ5hKoAxQBjIzA8Yo4U6cvw0bNmR6kZPy6KSvd+PGjZPchoycgU4MJlnxpP/5q1ev/tquhjjPiTP/6NGjjONdaIM60IW2YzzDSx3oPNsQCofXDDx89x3NF3JZYMVN3uGc5XyYfH2piTtvacD9AJArUX+WUz5A6Hx27lFlLQySx7/IFJkAD/1cIBHrvlUDr0nlObh7r7+hxZJQrDZdACfxNQ5t4wmA/UT+oA/pB9wNYfGsVLhitqIrdg2qh1olNR1a/AEtfCSzjz5Ag4t9YSeO4IxxngXU5bLhBGXljY3Afq5/4C1VabSV+eH2tObIlSXpVjSCso8HYOcfj4TrhXYoJ3rFoemwDqiS6CUzD7CmCYL/P4D8J7vUTTodEwa4o3Ypeh1KC58/pApc9HPS+P35Vm8ccjplsCziBHJIK5wn51iqfOU9YNNlMlpU1cwASwuXmW3N7Rdf8CvQBfXE9zjTXeYAdbh+fBmCk6hTwGbu+vkuLjfW1zuG8c4VMoR5xjDCe9Fq+H+JL1dJhkySA2aTEz3rGANYenWGhwC7+7FSHqmKYE7ZjVjTS7PfZXrV0PXxDDTy2YfzKi64hfmQtDbLXYy3FMXNLQuTn1ywSDfZJEwaOii+XRsdvGRg57UXGBdyB0PEezHONL7kLTOsmgPducSFNINfXgf48IBd7iUbgr0qO4xuVg7DHGigVpp5pQspA5QBysD/+47Xrh1fmYb0IifZz/ocT548gZ2dHV6/fg2xWMz0NSfl25MbGbkHeoLN3759w4wZM7B+/XomqCCpkSdPHvTp04fJxs+ZM6c+t0hvsqkDXW/UZg7B1IGeOfaZWqkbBq4+/YSOq+JLNZc2eY1tZgEoaPJJU3j+cvHO8xyF/lR6fT1wgOtze1dVEq1kAey8/yY0xT+5s+gGLJWiEwYS9nyHmQ/qiLiHZ/DtJXSi3tXbFU0wQTEAwe62cKj4ZykinZBDhWDGgQi0uuoOG9Ejjg3XxYBNb2Gyc28/sDO+KgYZJJOvqWwBLoy3R9E8WYVpE89Q+x+6h16XW6OYSC2br+sOoHzy/bR4ZkLKcOZXAL6/Yee4y8ajd6/+tMxlGjfx008Zbs9yhL2Ya9Hxo+EUZHcQaJWLv/Gwoydwfz87a7HCDYXb+KBTLf46XP5mkrGOX47+CLP1zVFDFKX2+7QEsHE3FiT96H1+GVjbnJX9I84C82xOY3rryvrRlwmkTp6/GH7fuVY0vy0skWWC2n2OUDl4dALY0oFF/yYuL0YX3YatHnWFahGvcTeavBnnJUM1MY5/BmTJzV/cSbQR6dN/OOqWzsdfzJkc2YqzUZhzNBLTJevRW3KcY6NGD6DN8vSzs7EtEH2GlTNL3gWrlK3Rt0EpTHUVXgZe+gmhEigDlAHKgO4YMKRPijjNSeY5KaVOypMThzEpl57SOHjwIFxdXZkpCxcuhJcXV8ko8TpyfNSoUczHhw4dYvuhk787dOiA3bt3M8eIkzp37uTvhaytrZmS8gUKFMD79+91R/ZfJMlkMly/fh3h4eEMRpJxnjdvXlStWhU2NjYwMzMzGBZ9KKIOdH2wmolkGvJilYlopaZmUAZO3X+HfhuuoQA+45C5NyxNvmhaalkJ6LUPyJ5MPyxSYpuU2v7/+BKXDdWla9i/dw+uB5sSNEuPT6fP2cj36L3uKo6bjdXMGHULAqp15A/UMzOBc7NYPMeUthgoH4WFna3RrkaiSgj8QS14JBP3hKPXrW6oKFLrY+S2BqjWSZi2RZ8DNrZmsX+MywGb/7F31nFtZF8b/xK07u5bd3d36u7u7t5CS4FSoW7U3d2923brW3d337oDIcn7CX13hrDtryQkYRLu/LUN9z7nOc+5O5nMufecoLns7lOa7Clsc6ep0gLhueUqvS9UI4nDJ5la623wx8/LhimN/2/5zCwCb+Sekz2De1G1SXdq5U3526liwH8VePUpkLv+FSgZpsrF94p+xCgdLilhL+Jt7QEXVkjeLApxR1t1LB1L/2EvHlrNj79uvybJigr28/30K+VeXYOAEtJftToHhuY8xITG+a2mtb0Z8hw3Hp9AeYPv11hpiTXoiu27+fgULKoq+aHfbNEiyUa29ixl+74pzIMQjRZ3j/kccJUrGYRSHPkOVI4KYxuGztyy8EJuezFQ3YVqLQeIzcjKjRg+O66z8NgDZjlPpYbj3zLT0gOgorwRyGQXNneDS6uk6YtDqjI6pA318qcS7R9MFlVMFAoIBYQCPxSwVk7qzZs3oWXa9SXL9dfMmTPp0eP3v6f1yXZ9/3L91aVLF/Qn0n916f8+b96PViL6eRkyZJCG6k9u6/ui66+TJ09SrNjPN2/qe7Lrk+tfv36lTJky6Hu1i8s8CogEunl0jLYo1rpZRVuBheN2pcDmC0/pt/bSf0uE6b1MnhtabYVY/2OH+pu7MLOggSa5AxfwmR8nO2c0yy+SDApbMbuuvKD7yvOcce1GEge5/xktN0KmSsphe3ou7JZfUp3WZqNJ8Ei8auWgbUn5wU05hO2DSf+1F+l1rTEZVK9kh5qshOw1bdPB5xdhnpzIVescyRy0jHVdSogS3GaK6KD1lxh1tQqxHQJlxA4HII1ly5WZif7vYRZUgqdnpHHD1B3IW6cvTYuIPpG/F++/I568+8bLqWUprLot/THYfRIuxTqaAqf8OXtHwMmZEs8NmjI8LTuJvpWyKJ+7whjuu/aSTGvL8ofqpcys8XLIIW+SUhhl0+i8fwjT8hrM7Z9xF5NblTQNT8zCa8xovNSTJSW+xMtC7H7yfd1mJXp1HQKKG9CvHHsT+wdWtFmXlEr84zc1bX1msdl1lERR6xQDlUeY+5ESyS+pCQ/lvtmj1a3I12gYdfKlUiJbwQnos+YCWy8+Z72Ll8GzEtX8oWjnyGsUrgXfLk0Ruqv7Ui5rEpa0+1F2WFxCAaGAUEAoYJoC1shJffz4kQoVKnD+/PlQkuPGjWPIkCERIvxv32/96fVs2bJx48aNX87Lnj07N2/eJFWqVDx58sSgp/i+fftCe43/zv6pU6coXvzHs+qwYcPw85M3tEaIsBj0SwVEAl0sjkgpYI2bVaQIislCAQUpsPTEQ0Ztu8YYp4W0cDooM0uWG9puhxgJ/jdbdSCMMSyn7R40jpu6H4mFUbVy0E4kOxUUcfjRV+0Sd1xb4+ygkbl1OgSpCiiHa7i+jre1qagS7E//ylnoLfqzWSxO3VeeY+TtBiR3CNMrqOUmyGSjL2N/kojIHriImW1KidM3ZlpFvVadZ+qtCjg66GTErscheS4zWYhimOX14Z78/einbkZS98HiBLGJYbn7zxe+zixNXtV9CUFTexaOBVqaiKjwaUcmwKExEkl9NZUzRWfgUVOUSTU2ctsvPafQppKkCNtqqMVGyKygzX/GOvWz8V/fgr9hhYI+qdcyraOdtMUwh0ZGYnh7D2OkdrY063OivMTp9ZeRKAoc/uEJTDX8rq3kvJwDI+xsU4kCpH/24TtDJkxjhctYiY02VlJUgxTeCmBNC7i5Q+I8Sd2Q5LVH0qJoOgWoKij8TIGWC05z7O4bDrv0I33YDc2NlkLOupEX7e/5sEtum3NOm5kGwaPJmzqeqF4ReXUFglBAKBDNFbB0Turbt29UqVKF48ePhyo9YsQIfH19jVK9e/fuBAQEhM751enxsIlv/fhZswxbiOjLoydNmhR9Ml+faL927ZpBgv1fQl27dmXu3Lmh/7RGT3ijhLDxwSKBbuMBjGr6lr5ZRbV/wr5QwJwKzDh4h0n7bzPTeRo1HU/L0GUGQQWPiJmamBW+yLvvOwQP4KD2x6n0HuUzMqhqtojhiFFWUWDJ8QdM3H6Wq27hTvv1uQQJ0luFQ4SM3D0IK+pLQ1/r4lI4aA4dS2UQiYcICWjaoPZLzjD1QW3iOnyTAdrtgXSGJ5xMQ4+CWd/fw3jDdV0scAZDm1Skbn5x+sYcEem29AQBD6oZQvU6D4l+lAaz+Wt9W7i2WXJjekhddOU86FMps827FhUO3HjxCYeAEmRTPZHNN1gIueU+vlHBy2I2T82BPfKJgJOaHGzJO5fxDfNYzKS9Aq8/+4RK24uRwOGL7GLbnZDezspV/2Rzau8kC5new07/H7HCgvXz6sdwFkmWPicrSpxuYXoLW4GDRUwEfoRxhtVQKutms390C4uYi86gd159ZtK0icxxmSrJoEuYCYfe55Qty+aucGm1xHFeSA2o4kPnMnbyjKZs9U1i5z71L26+/MR11/bEdAiSMdrvhbQ/L5FrlKEbO2CtfI94qktMqaDppE0Yk78GlzcKSgwWCggFhAJCAUMFLJmT0iet9f3L9ae/9VefPn2YOlV+LoloLG7fvk3OnDnRl1cvVKgQf/31FzFixJCmf//+PbTc+tmzZ3FycgotE58583/ffYQt4z5hwgQGDRpkQEGfnNfj6O3oy80fPnw4ohQjPU5/0v7ixYtcunQJfbl7vU/6z/7XpffHli6RQLelaCmQqyVvVgp0V1ASCkRKAd8d11lw7AErnMdQKkw/Uqr6QfHf908JNb6gMjyV+3ONUrdhqeZHKZcmhdKIl8SRipD5J886dJfV+45yzLWvIfjQJ+CmoJ7Qzy/AvHISx39LbzculIYJDQ1Lm5pfpeiL2Hz+KZY8rY5L2OoEXf6CFDaquVYD3gkNAlolaDwta7vTuriCNozY8JLrMv8Ac581MPSg/02Im8KGvQpDfVsvOL9M+kDfK/JFidEMr57dPvyzsheXnnwgzvyi9l+G+19dL66GLV0lla9q0xOQdTGzWiio4ouV14Cp5lacekSD3YWI4RAsQ3T8E1IbthIyFV8x83Q6tN6JUelCJEp94k1nWr82iqFoa0TGe3ZniONKifbnNOWJ02GLrbnxX74/ecapFjyOXWO6/vQUkO07HHUeXHj8nlVz/fB3/tELNPRKmR86W+9lsEne7xoMf/84+aW/VoeU50XZCaEVvcSlTAUK+R7g+5cPXHPrYEiw9wVIaFidxCQPnp2D+RWkqcE6R7IGLSW2qwtXRv94hyMuoYBQQCggFDBNAUvmpBo0aMCmTZtCielLuOuT5w4ODr8k6uLiQpYsP/++15dT15d+11/58+cPLQGv741+7949xo8fz4ULF0L/9r/Krn/+/Dk0Aa9PyOuvzp0707Rp09Bk/KFDh0LLtX/58iX03ydOnCBfvnymiWrkrKVLlzJ69GgePXpk1EyNJkyFVqNmRs1gkUCPGt3txqolb1Z2I5JwRCjw/wroS3mvO/uUnS7DyKkK8+VSNwDyNY+YThs6wNUN0tj5IdUZE/KjFGvFbElZ2NZO+uBGTA3Fj/Lfe5O/Du9nu2uYCgMqJ/B8A//j4cvqjr1/BNMMT+jlDlxAyZx/MKeVnb0st7q4vzbYaNYR1r8OV/qz51lIbMOnbcemgaBPktMNg0ZSvkodepTPpCDlbZdKl1nbmfs6XPntIY8gRnzbdSos83A9rDdqSnM2/1jG1s9tH/5Z2YuzD9+RfHFhUju8kS03Xw9ZqliZiZXM3dwJa+TnqcfaJHikX8Wy9qLPqLERWHj0Ph0O5jec1u0EJMtpLJTix6vHpMFZLX9v9Y3hx9QhEdzYqnjvrEtQq9Ux1bMj/Z3l3ypfMlQjdps11iViIWvaMalQqeWqDA2CRrF8dG9iujhZyGL0hD125w0Hl3gxynm5LECGMtBmu7IF+dMX/vKXOO7QFON8kSmMrCXaiCgxcBqtjswjdpGWFxx2HWBIcfhzcIkVedqfnsNkw02gBQMDeEs87oyphrOjKvI2BIJQQCggFIimClgyJ/W/kuU/kztdunQ8fPjwp5HQarV06tSJRYvkCk3hB3bo0IF58+ahUv36e+Hu3btUr16dO3d+3tImbty4rFy5kpo1a1plRehL2us3BvzutLmejF7PsOP0mtjSJRLothQtBXK15M1Kge4KSkKBSCnQdfk59lx7yTHX3oYvs5uthawR7LV4YDQcmyzx2K0pTDd1v9B/i15akQqPRSZ7bbvG/VNbWeYyXsaPlRSU1sMv6DOMTW2gQamgqaTJkJ3Vnc1Qvs4i6to+aMOpe9jwoYmhI/2uQTzDWNiUp1Nyw8fHEuX2wQPJXLohw6qJE8TmiGOXaWuZ+76zIZTHa3ByMQd81GOE62G9T1OQHTkmMb1ZuERe1DO1CQYn7r4h8/ICJHH4KPNtvRX+kCuO2IQjESX58BgsqSGN/qCLRbtk69ncvWREEcS4/1dgzoGrdD0WTjd7ahcRJtKBE7Lh9u2F9El/pxFM9hgs1oIJCnwP1rDEuw3dnORE59es9YnVbLEJaMqbopmUHcfPzyVibYMHMWHYQJLGcVMeWRtmtOfqS66tHsGAMBsxyFoDmq1StlfHp8F+uSTpEU0eduWdJSrEKTRqb74EoT+BXsThButcfWSWLnFg+FPzsNaEgG8S0MmJgupBflzXpefvERXFvcM8KgsUoYBQIJoqYMmclDkT6P+GZ9euXaFJcj1vfanzxIkTU7hwYbp06UK1auHa9P0ipl+/fg3tkb5+/Xr0CXV9qfk0adKEJtb1Zeb1iXxrXKdPn6Z48eKhifFKlSrh7++PPileoECB0M/0peTfv38fWppe3wN+69atlCpVKpR3smTJrEHRrDZEAt2sckY/MEverKKfmsJje1dAX675xL23XHNtRyyDHlv7IG3RiLl/djHskMuBX9Gmp1awX+jcVPFjcHyoXCIsYoBilCUVGLT+EkEX1jHdZaZsJnFW6CmX4bek/Qhj6/vT+CQGrVzCtFaQL9oU+djZu3SEYcRA4xRo6L+JDV/bGU4a/ABiGpZBNw41ikcHlIJXVyQS/YK7EaNwC/zqiRPE5ohM14mLmfNF/g7QOjihGvXWHNDKwPhJD+sFGaeL6iomRufQrX8osCov8Ry+yQjt9kC64iYiKnzai8swV/7O0ugccI+7hf0D7HTDgAXDMXvXGbr/XcnQgj21iwjj2fcpBYnx8a70ySD64u812oLq2i/0h2/BbPZrSTunvZKT33O3JEaDWXbhtHZmEVRvbkm+9AruSf/+w8mQ2AwnVe1CIfM4sfHcU15vHkJXpx0yYJ6mUF8uj24eS2ZGCfc7/Zw2M4uyzWNWc9FGxMxKmwXu1svPVJ36FzVUp5jlMl3GTJgRep83i41QkIlZ4ctLCa9d8CAOafOzr18ZsiSLYz47AkkoIBQQCkQzBUROKuoC3rZtW5YtW0b69OlDy8rr+7dfu3aN3LlzhybQw5do1yfRe/ToQd68edEn3/Ul723pEgl0W4qWArmKm5UCgyIoKVaBGtOPcuf5W267heuraEzJ5rsHYUV9ycf3utjkD/rRH87VScVNH3fRh09BK6DHyvMkur4Eb+elMqu0xaH9HgWx/H8q/pnh6z8Sr1bBQ3kYvyhHB4tNGZYKVmO/lawL7m4IP+IVONvwSabFNeDRMcmnUeo2vMvVjhniBLFZllH3sQHMDhoqYamdY+M84plZsBUBcnEVbOkmUdH3sPZJNYe1Xew04Wth0fdde0mZdblwc1DLljr9CanstDXHT9qRVHRZycHh1iljZ+FwWhV+xpYj9LoYrsXIkIcQI4FVeVjD2LdZZYn5+qJkalhIZ8b6ymWYrcHBXmy8/BjIIf+mNHM6JLkUVLAzrrXsQ0/dgso4PJU3wQ5Xd6B591HkShXPXkKoCD+WnXyI487+tHA6KPMp3AlqTFQEv1+SuLIBNsq9tG9rU+GXYQlL2ok2IkoM3PG7b2ix4DTtHHcbtgtIVxLa7TIf5Xnl4PmP/rb6a5i6A6s1FVnTuRjF/khkPjsCSSggFBAKRDMFRE4q6gKu7/eu7+E+adIk+vb9ccDjfyXQ9X9v1KhRaF/5sHOizgPjLIsEunF6idHhFBA3K7EkhAIRV6D0hD8JfPecM27h+ioOugexEkcM6M0dmFnIYGzOwIV8JUboZ1e8qhDHzTliWGKUxRVos+hv8t6ba9ALUrElCGcWgTCnanoH9+SIa1kujbLTXrkWj/7vDTTxns9a7UBpoA4HHEa91zcI+v1kpY5Y0wJuyieGJqkbciVTF/Hy0Ezx6uEziVkabwkt2C0JLkPlk5NmMhN1MDe2w1q5x/tDbTJ6JlnIjl6iEoYpQdlx6RnVN+VE5aCTp3c9DslzmQKn/Dnf38P49AY8K+oCODha7ouufCeUwXD6ur30vt7YkIytb/D6hbTf51cnxrPj0l9Hq1sxbPR0XJxEb1pjV+Ojt185P7UR9RxlPUNK9MWpip2c6F9eH+7JSV0/dTMqdBgjkmDGLpTfjA84fI+UB3tSx/GEPLJUf6g0ysyWzAx3Zz+sbCiBPtclpHfylWzoVsLMhgScORTYevEZfdZcZLDTGro7bZMhc9aDRkvMYeIHxupmcEtOyE8Nqc/UkIYEtChAtdwpzGdHIAkFhAJCgWimgMhJRV3A48SJw7dv39izZw+VK1cOJXLjxg1y5swZeqgvMDAQZ2fD3MS2bduoW7cuRYsW5eTJk1FH3gTLIoFugmhiiqyAuFmJ1SAUiLgCeUfvI2ngA/a7huur6PkWHJ0iBqT+DmOSG4ytEjSe27o0oZ8dGlhOlBGMmJJWGdVozgmqPJ1BJ6cwu9jzNod6AVaxb5SRRe7wWH6I8VS3ZYW2CvfGVEelsuGErlEiWHdws5HTWa3ylIxqnGLi6CH3YbUuGzNZ29IdLq6UwBaEVGNPqt7i5aGZ5O3tNYbpTJDQAuOkxW2AXDLfTGaiDub+EVgmn3p9q4tDwzgrQr/bxGW8AlvOPaDu9nyGE42pemO8yaidodWAt2ELDP0z0p4xXcT3mJGRmbpiE33vyi1G7GKD1y80CFzeBLd7cmWgiepGdBwxm/gxbau0oJEhtsjw268+c29mPao5npHwdeWG4VBOrpxiEcPWAl3fFq5tlqzNCKlLjhYTqJjd9no5WksyU+xM3HuL/Me6UNFRPrVLxZFQeoApcNab8/gULKoq2fusi0GjBOvY07eM9TgISxFWYOGxB/jsuM5E5zk0dPxLnle0G1QbF2Gc3w7c0R/OLpSGrQ4pz7CQTqHtrZoXTfvb6WKAUEAoIBQQCvxcAZGTirqV4ebmhlqt5vz586Fl2fXXkydPQnuw6xPo+v9OmTKlAcELFy5QsGBBEiVKxOvXr6OOvAmWRQLdBNHEFFkBcbMSq0EoEDEFtFodmUbsohA3WOfqI09yjQfDHkcM5N9RE7PAl1fSnPbBA/lT+6O32vquxSmc3ob7JxunhOJHV592lFavJxmUsqRIF6guJ8AU40S43fGT1Q2ZrqnPZa8qxBVVDSwSppYjJrDCeYyEHRIjMU5D7lnEltVA9wyDU7Mlc+tCyrIo8UDx8tBMAejn6ckUR7lPY2CCrLj1kcvJmslM1MHoS1zqS13+/xWsc6Sk81rOePzY1Swu4xTYePImDfYWNZzU9wrEt98Xtlq/1KiCP0s+NwgaxZJRvUR1HuOWDlOWrKLfQ7mdQrDKDZeR8rOnkXCKHh68vgMu1zZIHANCalFn4HxSxv9R3SEDS8gAACAASURBVElcEVfg8tMPvJtbm3KOl+RJlb2hZJ+Igyh55LZecH6ZxHBxSFUSNpxCnXyplMza5rh5bbtGtbPtKaq6KXOvPhGKdFK2L6+uQ4Bhy5myMTZwZIh4hlFi4MbvuYm+2sFS53GUdbwsU6w4Ckr3Nx/lI/5wyFfC+1OTj/bqwQyqmpUe5TOZz45AEgoIBYQC0UwBkZOKuoCnSZOG58+fc/jwYUqX/lEtMDg4mFixYqHVatm3bx8VK1Y0ILhr1y5q1qwZ2v9cf0Ldli6RQLelaCmQq7hZKTAogpIiFfgcqCa31z6qqM4wz2WKzDF+Ougb5gdbRNgvqARP5ZMdI9VtWKb5sdtdlAKLiIDWG1PO/xADP42jpuMp2WjpgVBRPnVsPTa/sbSlB1xcIQ1aFOKOd0hrjg0pT+oEMRVD016IqDVaunr6stBlkuSSOk4anAdctW0XD4+Dw2MlH/ZoCuMTazjHh1awbb8UwF6/EWuI52D8nedJbAKT5sOt+xEFsDMThbf3YMaPDWH/Xvm1y7ngHa4Xs5nM2TvM2iMXaXKorKGbA25DHPs9LamdlAPV52eSz+2CBzFm8ACRDDVysU+et5D+z+UEwneneMTwMHLDp5E2o2q4dntfVOcWS+aXhVSmRO/FZEoaJ6oo2azdMw/foVlUnWKqG7IPtpD4jKjie0fAyZnS6I2a0gTVnC1OkUZUvwiOG7T+Em2vtCKn6pE8o95cyNs0gghRNOzDE5hq2CKltMMSjo6qF0WEhNn/pcDgDZdYd/Ypu1yGkSPsWqsbAPnM2PrlwgrYKrfwu65NR/XgsXQslQGPmjlEkIQCQgGhgFDARAVETspE4cwwzd3dnf379zNnzhw6dZI3OObLl48rV67QoUMH5s2T31vpTbZo0YLVq1eTPn167t+/bwYW1oMQCXTraW2XlsTNyi7DKpyygAJP33+j1PhDNHI8bJD8IGV+6HzYOIsb2sPVjdKceSE18AtpEfpvn7q5aFUsnXF4YrTFFCjke4CJQd6GJ3EqjYZSfS1m02TgcC8FN2lK0V/dnV29S5MjZVyTYcXEnyug31QzzHs0M11mSAPUCbPg3FveHGOT2p2aA3uGSNRPaHLQ1dGLy15ySUub9EsBpL8Haxg7uh/ezkslNoGpSuDWabcC2JmJwtc34J/RAKxw4GxO+zUXJbhNkHj1wdM0O1rFcOaQhxAjgQlotjFFN7s4Dv9cl8j2Ce5Ojz7DyZJMJEONieCU2bPo989wacoX12TEHnbbGAjbGbvPA07I38X6pGimzivImya+7figEKZH77wmzvKq5FOFqaZTeyYUaKUQhpGkcXg8HPaTQPZqCvG48nw6lfkjksBielgFuq88x5BbTUmn+kf+uOkqyFZD2UIFfoRxhhVeyqpncmSMnax/ZatvNLv2S87w581/OOPalSQOn+T5LTdCpkpG4/1ywt0DsKKB9Oc3urgUCppD/QKpmNw4XJsd81kVSEIBoYBQwO4VEDmpqAvxmDFj8PT0pGnTpqxatUoiMnbsWEaMGIFKpWL48OE0adIktFf60qVLmT17dmh5965duzJr1qyoI2+CZZFAN0E0MUVWQNysxGoQCkRMgevPP1F9+lE6O25nuPNqeVLGCtBK7qUXIbQDXnBMPsW+S1OE7uofCdk+FTPTr3KWCMGIQZZXIMfIPSzHg4KqO7KxmlOgUHvLGzfWwtFJcNBbmvVvebnVnYpRPGMiY9HE+N8o8PpzEBPGeRhsqAlJnh+nrkZuqFGa0hdXw5auEqtr2nTUUo/lnl/10IdlcZmuwPuvwczx682wMN8hQRkq4dpG3lBlOrpCZoYEgW9SAzIVgiaydVRbUYLbhBCt2H2ElqfDnd4f/gJc7LiqyCJ3eHxSUstD3Y56nUdRMJ39bhowYWn8dsqU6RPp905uOfQxZlriDb7y23k2OSBcUlRfOSVe27Xi2ceEYB64/orUayqSTfVEnt1gIeRuaAKaAqecCoA9cj93/SbB02WWit9eZg5V60V/M+VRfRI5yO04aL0N/ghXUcXMdiMNp9WCt+F3TZWg8ezw6YyLkyrS8ALAvArUmXmMq0/fcce1NSoHnQze9TgkN6wkECnLPyntnyVwKaWypWJR28KRghaThQJCAaFAdFZA5KSiLvrXrl0jd+7cxI4dm6dPnxI37o9DV/pkea5cuXj48OF/3v/pdDoSJkzIxYsXSZ06ddSRN8GySKCbIJqYIisgblZiNQgFIqbAqftvaTrvFIOd1tDdaZs8KVdDaLgwYiD/jjq7CHb0k+Zc1magdvCPPsotiqZlTL3cxuGJ0RZRQF9u+Y/hu9jrMpisqqeyDaW+SAy3ri5oM1Ev2Ju5rQpSNWdyi2gUnUGfvPvGvEnD8HFeIsmgSVsSx/a7bFuWm7tgTTPJhyfaJJQOnsZ176rEdHGybd+imP2Lj99Z69+dvk6bJCbqrLVxbrY8ipmZ17zOJykOmiAJtHaQD3OHdiJFPNGP2Fill2/fR6tzjQynjXwHKkdjoWxn/KomcHuPxHeCujFFWo+hXFbDjRm241DUMJ022Zc+n/wl4+/jZCXBgL+jhoylrZ6YCftGSFb+0uRG3XwjFbPbb6sDS0m64/Jzcm0oR3rVK9mELZwcjqgg4Uox63+DbSuySpRhjqh+ERzXIOAEq17WwtUhRJ7R6RCkMmzxEkE4qw7T+qVCFfxFstkgaBQLPHqSIJaLVXkIY79XoOS4P1F/eM7fbnJ59dBZA+9C7CS/B4joiG/vYEIGg9ElA6eRJE1mtvQoGVEUMU4oIBQQCggFwikgclJRuySOHDlCSEgI+fPnD02M/3s9evSIli1bcvz4cQOC+sT68uXLyZs3b9QSN8G6SKCbIJqYIisgblZiNQgFIqbAvmsv6bz8HH5O82nudEieVLgT1JgYMZB/R905ACvlMmDvdLEpEPSjt0jVnMmY26qQcXhitEUU+BIUQq5Reznu2otUDm9lG83XQRYFlrO+tgXWt5F43tcmp0LwZPwb5qFRoTQW0Sg6g9795zPrpw0yOE2sy1QZh5YbbFuWRydgcTXJh4+6mOQNWsDp4RVJFtfNtn2LYvYP3nxl79TOdHXaITHR5G6KY4O5UczMvOZ1/plw+PpaAm0RPIzRfXuIfsQmyLx003baXG4prxdUOHq9NwHJhqZs7ARX1kmE54TUInXjCdTMk9KGnIh6qjP8R9Drq9zr+W2CvCTq81fUE7MEg7OLYYfcWue8NhPPGmynVl6xZoyVe+O5p5TaVpJkDh/kqS03QaaKxkIpc/z1bbBOLsf9QJuMefk2MLZ+HmXytVFWtaYcZPvH+obse56DxJkU75F2UnZUn59LPNsGD8ZnYD/SJLTjyi+Kj8p/CepPwWX13ENmzT12usobqHBwBM83oDJjxQCdDsYkh5BAiUj9IC/eJczH4UHlbVA9QVkoIBQQCihDAZGTUkYcfsXi1q1b6E+q65PsmTNnDk202+olEui2GjmF8BY3K4UEQtBQvALrzz5h0IbLzHaeSnXHMCd4ygyGCmF+tEXEk9e3YZZhua8cgYv4hltoidKN3UpEBEWMsbAC/3wKpIjfQS67diSuwzfZWrvdkE6BMbp/BJbJpX7f62KTP2genjVz0KGU4a55C0sXLeCvPvvIgYC+BqeJyVEHGi+zbf9fXYMAeX1rdQ5kDFrO/v7lyZQ0tm37FsXsb7z4xJlZ7WnttF9ioivUAYeak6OYmZnNTy8A7+T+uV2D+9K1Wz/yiX7ERgu9ZN162l7vKM0LcoiB66iXRuPY1ISdA+HMfInyqpAKqGpPo2kRw760NuVTFJCdOXYgPYNkHd8kKUriHvuigIkVTF7ZABs7SIZuatNwqdYumhQWa8ZY9VeefkTNXcWIZ/DcuwfSFTcWSpnj7x2C5XUlbq91cfHOto0ZzWz3haASha45fgs7vsubekM5DrgNcZRfFUI3qygOr29KsvYK7kn3XkPInuJHaVNxKUOBz4Fqcnvto7zqAotd5GorxEkBA+T4mY3ttLzw/qEE1y24D8ddSnLZS4Gb6s3mtAASCggFhAKWVUDkpCyrr0CXFRAJdLEaIqWAuFlFSj4xORopsPDYA3x2XGe1sy/FHa/LnruPg2LdjFNC/f3HLuYwV+WgCdzRpSZdopgcETuZjdPTQqP1p0XLTzzEfdeW4fqqHYPkCiyz//IKzCklqfFv4rNXxaz0r5zFQipFX9izD99xdkEvg9PE5G0G9ebYtigfn8KUnAY+5Amcz7IeVUQCNJKRvfD4PXfntaaRU5hToMV7QtUfLTzs5ppXDp5fkNwZpO5M3XZDKJkpsd24aC1HFq9cQbs7cmnSb45xiekZpjextYhY085BHzgqV/bZrinGy8oBdCrzhzVZ2LytgDE96aaW20O8SVGWxF3CtCCyeQ/DOHBrN6xuKn3wVJeYfZUP0F5sHjQ6youOPaDF/sK4OqjluZ0PQ0o7STA/OwfzK0i+Bemc6ZZht+hjbPRK+d8TanmvYLs2XFnt4c/BJZaZLVkAbkFleCpvlh+u7kD9Th4USi+XNrWAVQFppAI/fqcfprHjISY4y5vFSJEXulig2sqiavD4hMRytLoVizXVuDumGk6OZjztbqQOYrhQQCggFLBlBUROyjajt3HjRho0kKvq2oIXIoFuC1FSMEdxs1JwcAQ1RSkwZf9tph28w26XoWRXPZa51ZsLeeWXdhEm7Z8Zvv4jDW8XPIhD2vzEdnXi6mixkznCOlpwoP6EcZMZ+7nmJp9qCjXX5zIkSGdByyZC/yTxmTdwHvVK5MKrtmFC1EQLYloYBY7decP9pV0NThNTqD3UnGLbOgV9hrGpDXwoFTSNse1rUDqzGfsJ2rZKJrE/ee8tb5c0p6bjKXm+KVVMTLJuxUlLa8ODI5JBH3VLijT3pGpOw41jVmRks6YWLVtI+/v9Jf6fnBIR1+O+zfoTIeLHp8H+kdLQI5o8nCuzUGwEi5B48qD53h3ppF0vffA6rTtJ2q81EsVGhj84CktrSmT1rZFWlztCj/LKLxetNIUDDt2i25EihrS6n4ak2ZRG1TQ+b+7ATMNWWc2Tb2NV17Km4YlZP1WgjkcAW52GSn/TOahwGPkOHByUr9jy+nDvoMTTT92M4q29KZ81qfK5RyOG+o3MDeecpKfjZgY6y991ZK4KLeQ2MGaTZH1buLZZgpsVUhv/kKac9ahE4tiuZjMjgIQCQgGhQHRSQOSkbCfa+tYpq1atws/PD31pd31Zd1u6RALdlqKlQK7iZqXAoAhKilRg9PZrLD7+kBOuPUnp8E7m2Hw9ZKliPOf5FeHZWWmep7otyzU/cG76uOPm7Gg8pphhVgVO339L73m7OO3W0xB38AOIqcBTCMHfwC+FAdeyQZMpmL8gkxvnM6s2AgwOXH/F+1Ud7e80sb7Pn3ci0GmkMFcP8qNX8/pUy224vsQ6ME6BQ7f+QbOiMZUc5dPZVBwFpeUEqXGICh29tiXc2C6RmxpSn7T1fahfwHBjhkLZK4rWokWzaf94mMTpg0sK4g+3QGlSJXl9bgls7yMx0vez3l54GaNqiY1gxoRpsVcr2iGfOH+TsR6JWy0xBsJ2xj47D/PlPrRBOiemFT/OYHc7SfpaMRIz9lyi16kyhhaVunHUFF0+v4JJhlWZmsVfyeq+8gYMU2DFHFkBtUZLc48prHf1lj7UuMbDcViYDehKFixconRGSF0yNB5LzTwplcw62nHbc/UFXVecZ7TTYtqEaY1E/lZQZ6b59dg1CP6eJ+GuCSnH0JDOHOhfhkxJ45jfnkAUCggFhALRQAGRk1J+kPWJ8qVLlzJu3Dju37+PPpHu4OCARiO/L1S+FyAS6LYQJQVzFDcrBQdHUFOUAgPWXWLj+afccG1LDIdgmVuHA5DGsJ95hIivbwfXNklD54bUYGxIi9B/Hx1cnjQJY0YIRgyynAKHbv6D79ItHHQdZGjE8w04OlvOcGSQfZNBSKCEUDfIm8TZSrKgjeFpm8iYEHN/KLDj8nNY384+TxOPzwDf5Y1CzYJHUK9+MxoXSiPCHwkF9C/74qxtQEnHazKK+3go1jUSqAqcuqU7XFwpEVsQUg3XGuNoVTy9Askqm9KieVNo/9xLIvnWLR2Jhl5WNunIsru6CTa0k1DualMyN/ca/BvljSxytJq/fGRjWqn2ymsnW3MSNQ2wTw1+cqrYJ98RPOuKzYPGBnzqtpP0Pe9uOG3gHYhtJ6dvf7LZtHmMAFYNaW6sVGL8LxT48C2Yfr4TDPpSa+KkxnFAmGcfJau3rTecXyoxXBxSlZh1JtKkcFols4523JafeoTnlqvMdp5KdUe55D5lBkEFD/PrcWQCHJJbLu3XFKCTeiDruhSnSAYFbqw3vwICUSggFBAKmF0BkZMyu6T/E/Dr16/MmzeP/fv38+TJE5ycnEifPj2NGjWiSZMmODrKB/n0ifIlS5YwevTo0LH6S/+Zi4sLbdu2Zc4c22pdKRLo1l1rdmdN3KzsLqTCIQsp0HHpWY7eeMItt7aGFnqdh0QZjbe6fxQcnyrN26kpQg9139B/b+5egvxpExiPKWaYVQF9gnTB6vVscZVLyeIUAzxemtWOWcEmZYPPLyTItsGD+ZauQuiPe3GZV4H1Z5+QcGsrKtrjaeJp+eD9A0mwLsH9KFq9jegnG8kltOXCM9Jurk0B1V0ZqdZ0KNgmksgKm757KJyWE3VrQ8rxrtJkupUz4btSYa5Zm86igPG0f+Unmf0nVmaSDpKr11ibj1Xs3T0IK+rLPuviMyrzJgJaFrSKeXswon+5sdazLk2dDkvuvM/dgQQNJtuDe//14dNzmJzd4PNR2XYwumlp+/TXgl5N2XCQflfl//9CTQ19Am5xLWjVitA6HVrvxKh0ctnJFo7+rPTsbEUS9m3q2YfvjJ/gy3QX+RSwJnE2HHuetg3H946AkzL3jZrSfKg6gw6lMtgG/2jCcuqB20w9cIcNLl4UUt2Wva4+EYp0Mr8KZxfBjn4Srr46Tv1gb+a2KihaFJlfbYEoFBAKRBMFRE7KeoG+fPky1atX58UL+X1xWOslSpRg9+7dxI4dmzt37tC8eXPOnz8fOkT/29LNzY0OHTowZMgQUqe2vcqCIoFuvbVml5bEzcouwyqcsoACjeee5NGDu+Yr531mAewcIDG9pP2DOsG+of+e37oQlXMks4AXAtIYBdaeecz2zatY4TJWnhY7GQwM8yPdGEBrjJ1dAv6RT3j0De7OzaTV2NM3XDlOa3Cxcxv6kw8ZdzalhON12dNqE6BoF9v3fF45eC6XGR+k7kzq8p3pUymz7fsWhR6s+fsxeXfUILsqTBnT+gsgT6MoZGUB04f84Mh4CXiXpgjXS81kYNWsFjBm35CLZ3rT7s0kyclXcXKSbMAJ+3b66VlYUFHy8bvOhU5pdrCiY1H79tuM3gWqNez1rkkdR3mtfCzYi3i1fjxn2t0V+AnGGVZI8cywBp821ezOVUs7NGnVTgbcDncaW8mVl0wQJGRsOpyCPkgzW2tGssxH/k1mAqSYEkaB268+s2T6KPycF0qf6lIXwaHjftvQKdxJ472aQtwsO0c8Aysseh5brrDi1GOOuPQlneofmV3jZZCjjvnZXt8G61pJuI+0SSkbPJVx9XPTtIioTmB+wQWiUEAoEB0UEDkp60RZf/I8V65cPHr06JcG9WXZW7VqxaBBgyhbtizv378PTZzHihWLLl26hH6eLJnt5ilEAt06a81urYibld2GVjhmZgXcp/6F7tU19roODYPsACPfgsqEfuV39sPKhhLWG11cCgX9KIEytn5umokfYmaOoPFwi4494MyuxQS4TJMnJ8oEvc4ZD2atGYtrwKNjkjUvdWv2xa7LiWFyMsJaVOzdzoKj9ym4vxH5w54mrj0DCrS2fdeX1YH78slFH3ULVCV6MqJGDtv3LQo9WHL8AWX3ViWD6pXMoslKyG5nvVdPzIR9IyQfj2pycbDwPLxqix7Wxi6/JdM8aPt+hjTtRbz8pOgn/79pLJ5NjP9JOe4GibeysWc5m6CvBJIfv6k5Ndadqo5ytYIvJYYQu8pwJdAzPwetBrwNS+h6pFyAb2c725xkfuX+gzhp6ToGPJBPb2ocHHEcJbd0sQIFi5sInpQbl8/yRrZOwf2Z4zsSR5WDxW1HBwPnH79n99zhjHBeJbubsSK0kluXKVqHUwGwR/69f0KTg8PFFzG8umGVC0X7EA3IdVtxjt1XX3DDtZ1he732+yCtBTbcPToJi+X2Fl90buQKWsRg96x0L5cpGiguXBQKCAWEAuZXQOSkzK/pzxADAgLo0aNHaO/y8uXL4+XlRYECBUJLtl+/fh1/f3/WrFmDs7MzWbJk4dq1a6hUKrp27cqoUaNIkiSJdYha0IpIoFtQ3OgALW5W0SHKwkdzKFBy3J+k+XSONS5hTu+4xYehv97B9T/tvr4Fs4oYDMkeuIjvuDGwShZ6VhAnPc0Rt8hgzPzzDo8OzsPfeZ4MkzI/dFZw8mJtS7ixXeI7LaQ+8x2bcnV01chIIeb+RAH9+qh0uB7ZVD/6AYVeDRZCbnljjM0Kt641XN8aZh3V42WB/oytn8dmXVIC8TlH7lH3z4okd3gv02m5CTLZ2QaX88tgWy/Jx4vaP1iRewkTRQ9ro5fh0kmDaPNZ/g56nrAYKXvLfa2NBrSFCZ9fwaQsBkzrx1rGpkEWOFFmC3qYwPHVp0Bu+lemrONlafb3cl7EKCeXnzUBVtFT1N7JcNYGShxHJJrKmF7tFM1ZieQmLljGwKfy/TvIMRauns+VSNVkTsEzS+DyRq7W1C+4G6NH+hDXzdlkTDFRVuDondecXzqIPk6b5Q9z1IXGcl9xRet1YSVs7S5RvKJNz+r8K/Crl1vRtKMbuUZzTnDj4TOuunU0dL33RUhogXL7b+7CTMNWMlkDl9CmTDaxuSK6LT7hr1BAKGA2BUROymxS/k8gfen2PXv2kDVrVq5cuRLa+zz89e8Y/ef6PuebNm0KLfluL5dIoNtLJKPID3GziiLhhVmbUyDXqL2UVJ9grovct5wEGaDPRdN8Cf4GfikM5lYKmsBdXWralkgvTuqZpqpZZ43fc5OgozMZ6bxcxs1QBtrICWqzGjQHmD5ppU9e/f+1JKQKXiFtuTumGk6OKnNYEBj/r8DEvbdodLymYdnApqshmx08ZIZbR4tDqnIux1BmNi8g4h8JBfT9GtsfLUtch28ySvu9kLZYJFAVOPXaZljfViJ2T5uCiVlWih7WJoRquX8fWn1dIs18lqQMqXoo+DvIBB//M0UdCGMMy8M1cJrBRg87qO5hDn0igPH47TdeTCtPUdVNabS66gSci9tBi5Ff+B/olwG3YPmktGdcX3z6y4ngCMgmhgATA+Yy8NVgSYtvzomIOeK+XWkTssAdp6cnJZ9GqtvQbfB4UsSLYVd+RpUze66+4PmavrR32iNTyN8K6sh9xaOKW4TshivV/UCbjCnZ1zK9Wf4ITReDrKNAhYmH4e0d/nQdaGhw+AtwiWl+Et8/wPh0BrglAqdTomA+sUHU/GoLRKGAUCCaKCByUtYJdJo0aXj+/Dlz5syhUye50lRY68ePH6d06dKhp9T1Jdtnz55tHXJWsiIS6FYS2l7NiJuVvUZW+GVOBUI0WjKN2E1Txz8Z57xAhk5VEDr9abop/0zw9bU0v13wIA5p81MjTwpmiUSV6bqaaebIrVeJ//cU+jtvkBGz1YSmK81kwQIw+0fBcXmTx1ZNCfqoe3LBszIJYrlYwGD0hfTdcZ3OZ6qR1EHuo0mrLZCxvO2Lss8TTkyX/NioKcW2DKNY2t6waobtO2pdD8btvkn/UyVwcdDIhrv8BSnyWpeIpa3dPQgr6ktW/tHFZ0DadSzvYIGSmpb2JYrxV47vRovvchncp8krkbrrxihmZXnzWp8kqDTBkqFGWj/We/ewvGE7sXDn1We+zSpDXpWc+NTWnomqgNy/1U5cldz46p+bWF/lstwj3YbhPTRs2yV789gy/kyaMZUBb0dJ4J/dUhJn6A3LGIsiVO3KxqjuyJU8JqgbU7/PZDIljRNFjOzL7IZzT9Fu7k5jpyOyY8W6g/tY23BU38JI38ro/y99m7UhGTaxsG1h2+AfTVjm9tpLjqArrHX1kT12jQvDwlQGM6cWOh34JAGtWkKtFeRLsmzFWNBGrA1zSi2whAJCgeijgMhJWSfWMWPGJCgoiEOHDlGmTJmfGn337h2JEycOTaDv3LkTd3e5bYl1WFrWikigW1Zfu0cXNyu7D7Fw0AwKfPgWTD7v/XR13MZQ5zUyYqZK0DISL7LnlYPnFyS84eoOrNJUpGiGhKztUtwMzAVEZBQYsO4SWS+Pp7PTThkmb3OoFxAZWMvOPTYVDsgvPo9o8tBGPZQjg8qRLlEsy9qOZugeW64w5EJl4jh8lz23VN89a2v710T4U34hdUCTn4CUfmzsVsLaTOzKnvfWS4y8EO4HS8+zkNjOWnY8PQsL5LL033UutEi2hU3dS9pVPK3hzJqxHWkatF4y9TR1TVJ3VPAmLjOJEjI+I07f30hoLYKHscx3iOhRHEF9rzz9iMu8EmRVPZVn2EuLkV9o8HlqUeJ8kE/cezv1ZqRHmMRKBLWL7sMmTRnHgI9yovND7IzEH3jevmTZ2AmurJN8mhNSi2JdZpIvTXz78jOKvFl64iFJdneiuuPfMoOyQ6D88ChiZKTZZ+dhvrwZNkjnTOuU28VvcyNltOTwQLWGbJ57qKk6yUyXGbKpRJmh11nLmZ6UDT6/kPDbBg/iU+ry4vnWcooLZKGAUMDOFRA5KesEWN/PXJ8Y15dvz5Ejxy+N/jvuwoUL5MljX+0bRQLdOmvNbq2Im5XdhlY4ZkYF9KUwy/gfYqjTaro6hSmdmrsxNJhvuqXVzeGWnJzV96ueEtKQXYDArwAAIABJREFUjElicXBAOdNxxUyzKNBtxTnK3PShmdMhGa9IF6g+wSz4FgEJ13v4kvYP6gT7sr1nKXKnjmcRk9EVdOC6i4y7Vh4nB60sQddjkNwOeiT+PR92ySURz2iz4JFgEnv7/Xy3anRdA8b67bX+JF7Xwu3k7XcN4qU2FkrZ41/fhlmGp3Gqx93Mrv4VlM1bgezWjWlNY/VWidnT9PVJ3XaxApmal1LItAI4vb8ngXYL7sM4D0/ixRQ9iiOi9NmH70iyqGi4FiOrIFuNiEy3yTGfZlck7j9y4sSXjnh4TbJJX6KS9FT/UfT9KlcyehcvJwn7nYhKSua3vaM/nF0o4a4IqUiGtvMomSmx+W1FQ8TZh++S62Bbyjhekb2v4gslbKSlwk96XddNuJktvcUzjFKW8/MP3ykx7k/aO+42bLWWrhS0C7Px3dyE55SCl/K6HqjuwvkE1flzoHhvY26pBZ5QQCgQPRQQOSnrxNnYBPrvEu3WYW1eKyKBbl49ox2auFlFu5ALh01Q4Oqzj9SccYxxTvNo6nRYRohsMnXnADgjl4RfHVKeYSGdiBfDmUujqpjAVEwxpwKtFp6mycOR1HQ8JcOWHggVPc1pxrxYN7bD2pYS5mNtEsoET2Nlx6LixaB5labPytNMuxPu/9Ne5yFRRjNbigK4KxtgYwfJ8C1tatrFmM6JYfKp4ihgZfMmR648iPcdubR5qEODH0DMhDbvm4EDn1/CpKwGH1V3XcquYXXty08reLPRpwkNNHIf2aeZmpG65RwrWI5aE5q55XB8IVfoGazuRK8B3qRJaIG+plHrqkWsH7vzhswrCpIsbIuRlpsgk/3ewz8vqEOcp/Iz+nhNc4b4KLhikEUiH3nQaeOG0CdQvse8TVSQRL0i0a4q8pTMj3DAC45NkXD17Y7cmi6mas7k5rcVDRH9996k4vEWFFDdlb2vNQ0KtrUNNb78AxMNKwPVibmUrYPFM4xSAnj56QdqzzzOEKfVdAt7uCFnfWhkwU2Gy+vBPfl+6KduxjrX+lwcKd7bKGVtCB5CAaGAbSkgclLWiZdIoINIoFtnrdmtFXGzstvQCsfMqMDxu29oseA0c5yn4O54RkYuOxTKDzPd0l/+8KevNP+QJi/t1ENC/33btxouTirTscXMSCvQIOAEvZ4PpZzjJRmr0mgo1TfS2BYDeHgcllSX4D/pYpInaAGzWxSgeu4UFjMbHYF7LzrE9MfhXqb1vwFxU9q+HHcOwMoGkh8vdQmo7DCXK15Vbd+3KPTAc/F2fB7JG1xCqYx4Cc4xopCVBUwHfwM/w/tNTYcZ7BjV2gLG7Btyy+j61NUdlJx8lrUtqZpNs2+nAd2yujjcl6u/+KpbUL/HOHKkjGv3vpvDwYM3XlF4TT7iOnyT4drtgXT22x7oy/IWxL63Q/J3Wkg9unktEs/SRi6omWP60lMtJ6DeJCtF4m4WPNFpJD+zDD86CQ56S1AHNfn5WG8F9QvYWTUYs4hlPIjXtms0P9uILKpn8mRbaiGh/g5jDDdT1HWcyRbPVsaLIWZYRIFDN/+h3ZIzTHIOoIHjUdlGse7gLregMLvxTZ3h8loJdm5IDcZpWnB3THXRYsbsYgtAoYBQIDooIHJS1onyvwn0bt26kTRp0l8a9fLyCi31/rtxeoCRI0dah7yZrIgEupmEjK4w4mYVXSMv/DZGgd1XXtBt5XnWunhTVCX3V6TaBCjaxRgow7EXVsDWHtJn17XpqB7840ffqWEVSR7PzXRsMTPSCrhP/QvfdwMopLotY9WYDIXlk7mRNmJugFfXIcDwBXnGwOWMqZ+PpkXSmttatMbrPXcn0180N9RgyEOIkcD2dXlyBhZWkvzQ97DOEbyE+37VQx+oxWWaAh5z1+L7orPh5FEfwN401enQeSfCQaeRfK2j9mPrGPn7zjQFo9+sHV41qYn8cvh5zs6kbORv/0Ksaw3X5dL1+mRo0faTKPZHIvv33Qwe7rz8gkobc+HqECKjdT4MKfObAV2ZEN/WdyHmtTUSuQUh1Wg0fLko+29kuOZ4d6WrdrU0603qSiTuuNFIFIUPD9em5m9tVm5VW0er4ukVTtw26A1cf4n+V+uS0uGdTLj5eshiI6d0dTq0PklQadUS/waasWz06W4bAYgGLNedfcLgDZdZ5jzWsFVAJS8o1c9yCuwZDqdmSfgbNaUZoO7Gec/KJIzlYjm7AjnKFNDpdOK3b5SpLwxHBwVETso6Uf43gW5OaxqN/K7HnLiWwhIJdEspG01wxc0qmgRauBkpBdaeecyQjVfY4zKEbKonMlb9+ZCnsenYdw/CCrmc7xtdXAoF/SibuKNXKXKlEj2rTRc38jPLTDjE/C89yap6KoMp/QTFT0onFwicQ9fqRehcxg5Ki0c+rGZD6DVzPTPedDTE83gNTnbwAuXNHZhZyMC3LIFLuTC6JrFcncymYXQD8pi5BN83fSS31So3nEe+sksZNGPT4xj0XvKtabAHS7374+rkaJf+WsqpPaOq4u4gtxF5ka83Ker6WMqccnC39YLzyyQ+i0OqkqrZdKqIEssRitGmc4+ovz2P4djupyFptgjNt8VBQdsH4XpunkRd3xap3KDVpIhnZxU+LByc+V5t6cRmycrbDLVJ1Ga5ha1aGf7SWtgsb2a7oU3L4Qpb6FZOPCebIxLdVpxj/J2aNl0BQzMuPY6B8jNMs+ARLPcZiJOjqA5njjUSWYzZh+8yYc8tdrsMIXvYdzN150C+ZpGF//X8o5Ph4Gjp74c1eWmrHsLBAWXJmCS25ewKZKsr8OFbMH3WXOTvB+8olzUJI2vlEM8TVo+CMBgdFBA5KetEWZ9AN+elP1QjEujmVFRgKV4BcbNSfIgEQQUoMP+v+4zZdYPTrt0N+0m22AiZ5VOaRlP9yWlhfZIqGGcWtytM+ay/Lq1itC0xwWgFCvrsZ1tIF1I5vJXnNl8HWRRcxjokCHwN103FIH+qlSvLwKqGPYmNFkRMMFCg95SlTP/YW/pM6+CIauRb+zhN/OU1TMxk4G+hwAB2DKsvKmNE4v8Dj6kB+H4YKiEEuiTAbfjDSCAqd6pmSm4cPz6WCHYK7s+44UNJFNtVuaQVyOzAyApUUp2TmL0qNJhkNUcokKmZKe0dASdnSqD6U166unNoWFCUWI6I0muP36TJ/qKGQ/tcggT2e8JWs380jscnSz5v0xQnR68NZEoqkhoRWTP/jlkyshltVbukKW+zNCZR8/nGQCh/7K3dsLqpxPOpLjFrSuwSz8lmilyrBadY+sQdlYNORux6HJLnMpMFy8OETMmD08dHkqHOwf3w9xxBvBjOljcuLPxWAZ8d11l47AFnXbuS2OGTPL7lJshU8bfzTR5wfjls6ylNv6JNT61gPzZ0LU6h9AlNhhUTlafAlP23mXbwjkQsrpsTfvVzUzOPHbRqU57cglE0VkDkpKwT/CNHjpjdUNmyZc2OaUlAcQLdkupGA2xxs4oGQRYuRlqBiXtvMfPQHW65tsXVQS7nRsc/IXVB0/G/vYMJGQzmlwycxjOS4N8wD40KpTEdW8yMtALZPHfzt6p9uBMUuyFdiUhjWxRgTEpQf5VM1A/yIlexynjXsZ0XVxbVx0zgfSbMYdq3IRKa2ikWzh7PzYQexTAhweCbxICEfiPG3H7NyJQ0ThSTs13zIydOxvuLfHLlW4wUxBwSpi2I7br2H+bagFKoXl2RPu8f3JW+A0aRNlFMO/LSsq5otTqOjipDWcfLkqHXxT1JUnWgZQ0rAf2IPxzylZjs1xTkSdWFtC9l+MykBKpK5LDq0DmaH6lgSG3gHYhtxxszf9LXOkmXLeRJHV+JIVIkJ32p2lWeDWjhdFDi9z5nGxI0mq5IviaTengMltSQpn/QxWJqwf141c5pMqSYKCvQYtZBVr6WK6yF/sXGNvBoZpfC8R/DZ5iBg71IGV9UtFDCWu+z5gI7Lz7mtmsbw40a3U5AMgv+f3xrD6xuIknwTJeIkkEzmN+6EJVzJFOCNIKDmRRov+QMf9785z9o9fKnYnSdnMR1E5tpzCS1gInmCoicVDRfAFZ0XyTQrSi2PZoSNyt7jKrwydwKjNx6lXUnb3PTrZ0hdO8LkPAP083pdDAmOYQEShj6ZOd5XRaGuGcTpQRNVzbSMzVaHRmH7+S+a8twJyiOQfLckca3KMDknPBJLjvfIXgAsfPUYlpT++19alE9fwHed+wUpgZ5SX8NckuC69C7UUHFMjbHpAD1Nwm7XtBoRnZrQ/60dtDj3TKK/RZ19LgxjAqcII37EicjsQec/+08WxygW1wdh0fHJeqj1G1o0sOXHCnj2qI7UcI5UK3hok9JiqluSPbflvElUYVeUcLHqkZPz4PdgySTp7TZOVVmGX0rZbEqDVs1tnzPMVqdkhOEoX4MfQJudvz/30/WDG13UuyPRLYaRqvzDgrRsGN0HRo4HpVsf8zfjXh1xlmdi0UNvrgMc0tLJkJ0KoblPIR/43wWNRtdwJtP3syqT20N3R38AGLazgndnz3DtOg9hizJxCZSJazjlgtOc+fubU67yafBQ3kNugexEluO4tOzsEA+4R6kcyZr0BImNMhL48Li4IPlhLc+co3pR7n2PEx1gzAUUsWPwaTGecXzhfXDIizaoQIiJ2WHQVWoSyKBrtDA2AotcbOylUgJnlGpQN81Fzh98Qon3cK9tB7yEGJEMpk0LS+8l0v4dgvuw25tUTqUyoBnzRxR6Xa0tv0pUE0xr21cd2tvqEOfy5AgnbK1mVMKXsqnJgYEd+Vd5gYsbldE2bxtjN0AHz8macZLrL/HTkOMgVdtzIv/QXdSdvgsn6hvGzyYDu06Uzqz4cl0+3HY8p74+HrgGTJDMvQpYS7i9paTzJZnYEULq5rC7d2SwYnqRpTtNIHCosRlhIOg/x6661eMAip5Y86HihOJX7pThDFsduClNbC5i0T/ujYdGwqvCe1BKa7fK7B02z7anG9kONDzDTja8YmpCytha3fJZ31p3dfN91EhmzgV+PsV82PEx+9qjvlVp4bj39KUL0UHELvayIhC2Ma4dw9gumGyvF/GnUxpVco2+CucZbOxy1kdFC6x6fEanFwUzjwMvdXN4JbcysBf3ZiKXSZQQGwiVUQM3af+hdOrS+xw9ZD5qJxAv87M3OfVwGH9Oxv9u5swV67ABfSsVoCuZTMqQhtBwjwKFPI9wJsvQb8Ec3CAHuUyMaBKFvS9gMUlFBAKmKaAyEmZppuYZbwCIoFuvGZiRhgFxM1KLAehwO8V0JdwenHrDLtdh8mDHVTg+TbyP9IWVYPHJyRcL3VrlmjcqZsvJVPFieHfB8dCI15+DKTO2PX/3dluCycoltaCB39JyvioW3AxdUs2dlN46XkLxdJSsIO9PJmAXNb0W/ysxOwrv3S2lF2r4c4qBq/lk6+9g3vg3qwX1XOnsBoFezPkN3ogw3VyL9lPSQsTt/sBe3Pzhz+bOsPltZJvc0JqkrXVFMpnteMS0maO5NsvQbyYUIRcKnmT3edqM4hTtLWZLSkQ7ic9iqfm2sTERoYvrhXIXBGUFm/cRrsrrSQuGlQ4er1XBDeLkbi+FdbJ/2/c06bgRsM/Rb9SIwT/53MgVya4U9HxgjTrWxlPYlaws7YRP2mh1TvlaqZ3rm6EWmLorxRoMXo2K3Xyb2aNoyuOnv8thaxoBX/yDJOzzVSxiVQhQSvku588306xyGWizChOShgg/26xCNXgr+Bn2AO7bNBk3MuUYFi17BYxKUCtr4BaoyWLx270xSL/vVwcVQRrtP8h07dSZlEdyfohEhbtSAGRk7KjYCrcFZFAV3iAlE5P3KyUHiHBTwkKNAg4gcuTY6x2GSPTiZEQhjyIPL317eDaJglnTkgtxoU0o1SmxKzoWDTy+ALBJAXuvf5C58mrOOgql5ANBbKFE1zr2sD1LZLfM0Lqsi1he/b3L2uSFmLSzxUY7jEIP6d50h+/JclPzB6H7UeuRe7w+KTkj4e6HXnqDhAlCiMR4QkjezBYtUJC+JSqDHE7bY8EooKn7hwIZ+TNAqtCKhC38SyRzDIiZC8+fufzpIJkUT2T7zO1FxCzQLiTxUZg2szQh8dhiZzM+qiLyaCM25nXupDNuBCVRBeuXkOHW/IJ/iBVDFxHvoxKSpa3ffcArGgg2Xmli8+RmsfEd5YRyj95943HUypR0vGaNCu48lhcSson+42AU+5QjRp8DMs89040l+m9miqXsw0xa+MxgaVO8m/mELdEOA29b0MeAD95hknYdDbuucQm0qgOpL7NWuYRu2ikOsR4Z/k5kxT5oMsRy9ML1+JK334vU8EKTGgoNvhZXnzrWNA/fxcf+6eBsR29SuG78zqn7r/7D4lJjfLSoGBq65ATVoQCdqaAyEnZWUAV7I5IoCs4OLZATdysbCFKgmNUK1B58hEyvTlIgMs0mUrCjNDbDL1r9wyHU7Mk3E2aUvRXdydb8jjs6Vsmql2PtvavPP2I56wlbHENU7bSKQZ42MAL6O194dxiKXYrQioyPUZ3/h5RKdrG09yO61/e+Hj2xst5mQT9LWUJYnaWS1ab26bV8cKV4NaXr0xYbXhoewlxGa+ATqdjimdH+jttkCZ/Su9O3LbyKW3jURU846A3HJ0kEdyuKca32vNpUjitgkkri9qjt1/RTctPetUriVhwwxW45KqlLKKWYPPyKswpKSFrdQ60SLmT1V3kzyxh1l4wFy5bTIf7fSV3vjglILaHXMnAXvw08OPxaVhURfrosy4GG6ucpG1J8Z0V0Xjf/eczn2aWM2gboa05DVWhcP2sIwqo4HEhPslw0gRKDPvEnsi0gdGgPYaFYxIcoqXXSG/mukyRLKnjpse5/yULWzYz/IHRcGyyBLpNU5ygOvNpVEj0uTaz0kbD6ctq68tr93LcxABn+ZmaLO7Q3ArP1FNyw8fHEu9Owf0hWw3miw1+RsdSqRMuPvlA3Vlyiy1nRwdu+1YLPZG+8NgDxu6+gTbM6XT935e2L0KJjIYbs5Tqn+AlFFCSAiInpaRo2DcXkUC37/ha3Dtxs7K4xMKAHShQ1O8AFb/uws95oexN6sLQ0Qyld0/MgH1y/67jmpy0UI8gcWwXznpUtgP1bNOFk/feMmvhfFa4jJUdiJUUBt1RvkPhElc7NMUYSF9u+lRTPncbYfgtOIQZo3swxHmNxPh7+krEaLvRRjyIAM1NXeCy7N/ckBp8L+clytRFQLqfDdG/VF7g1YbuTtukP3/JUp/YzeXNLiZCK3PasalwYJTE7bAmL/eqLhUbMIyIlj6ZFWtWHlI4yKddNM034JglGjwbfHgMU3MbqNUg/jo29q1qhILRd+iChbPp+EQuofzBJTnxh9+yb0F+sukioOwZelTIbN9+m9G7q88+oppbmhyqRzJq/fmQp7EZrSgDKmhcJlwDX0tk+rmMYsrw/sogZ8Ms3n8NxneMJ5Nc5kheqJPmxrn7Mdvy6tgUOOAlcT6kycsj96ViQ44Conjz5Sfcpx7F22kxrZ32y4wKtIbaMyzPcF55eC4fohiq7sjd1A3YIFqlWV57K1nYc/UlXVeck6ylih+D40MrSP9edvIhI7fKlVr0f4jj5sSmbiXInCyOlVgKM0IB+1BA5KTsI4624IVIoNtClBTMUdysFBwcQU0xCmT33EM77SYGO4fZ1Zy5CrRYH3mOVzbAxg4Sjr5nY8XgSagc4M6Y6jjq/0NcVlfg4I1XrF8+mzkuU2XbiTJBL/nHlNVJRdRguE0ZxzQ5aakewS1fd1ydHCOKIsb9DwXefQ1m+djO9HHaLI0KzFIbt+bL7Ue33UPgtPwCdE1IOe4WG4tHzRz246MVPfkUqGajbwvaOe2VrH7L1ZKYDeUKJFakY3lTZxfBjn6SnXPazBwvu5reFUUyK6LiX3v+keRzc5LI4bM8pc12yBANqtMEfoRxhtUKGrjOZeMwUWI5IutnwdzJdHwxWhr6NkZ6Eg2xsROgEXE07Jj3D2GaYQndqUUO07d6fmORou34c4/eEX9hCTKqXsgaNF4OOWrbnSbfJ+Ujxme5Fdcgh/74j5I3fdmdw1Zy6On7b8ybOBRv56WSRU3akji232UlBmYyc2YB7BwggZ3RZuHv8qvpUT6TmQwIGFMV2H7pOb1WXyDAeQrVHM/IMGUGQ4URpsJGfN7KxnBHfpbXV+jak7AFBweUiziGGKloBcInyAukjc+m7oYVkHx3XGfBMcN2jqkTxGBz95IkieOqaP8EOaGAkhQQOSklRcO+uYgEusLiO3jwYPz9/SVWhw4doly5//0wtWfPHubNm8fff//N69evSZIkCUWKFKFz5864u7tb1ENxs7KovALcDhTQnxrM4rGbYU4r6eK0U/YoT1OoPzfyHj48BktqSDj6kpO5g36cdD8zopJ4AI+8wiYhbLv0nKPrpuDvLPe4JmV+6GwDPa4vrIStcr/Kq9r01Az246xHJRLHFj/oTFoQ4SY9//CdnRPb08lJfiEYnLsZLg3khLM57EQpxqGxcGScRGG3pjBH8k1mXIM8UUrLVo3/8zmQg+Ob0szpkORCYMHOuNWSnxlt1bef8g63Oey2NhUbim1kePXsduWmJZ258Pg9mRZmJ47Dd9lM+32QtqglzSoDW6tF55MIB51W4tOY8azz6qoMfgpnsXDmGDq8mSCxfB07K0kG/q1w1pGk9/UN/8feVcdF1UTRs0EoJordiS12YreY2IUJdotFKIiKga0YYHd3i13YhSg2JooKAsvW93vw+YaHNLvLe7vz/lJ25t5zz52dnTd35l4sKMkRsrDyEUzqYgAHTtJJ3d/uV1+GoPiWmigQJ+sF+uwDSutfCaCIFdbIHEIOlUxXDIOHu57+HmtofKREzPPPYTi0fAKmGO1mm6tLt4KoD/l/SuRkeJuHe4D9Q1gYAarCOFh3L6a2scxwaIYO4G/gcp+xC6qL42SGa7sQqKWDMgwHRwL3t7Ju8FG0xgqTIbjrZADZgQxk8C04FYCVF4JYa9tUzIfVfatzrFep1Bi+7Q5OPSFllpgGVQplx85hdZHJmF5aMJDhQs1MJwM0JpVOAmn3FDNAA+gppkr7DR88eIAaNWpAoVCwypIKoDP1MB0cHGKC54k9TBB9zZo1EIm0cwuVTlbaHxdUg7AZ+Ftny1Pqje7Si8SY2sOBNiS4lGYrvwcBy6txuleI2oA/yIST4xrCMl+2NIumHdPOwI5b7/DikCecjeLcKGZu/TG3//j+BBwHdvZiUX5Q50YD2TKcm9gIJS2y8B29IPC9+haOa0v7o6/0HItXWX0wJDakXqIgDEkK5PVVwCmSApgpL7G93Aqs7M2drwRvp44MePc9AveWdEVHyTVWo7zeeBi1JClCdQRFN2oCTwPbu7G6PqrNsaLqYXh05qbl1g0YYWq59foHqmwsDRMRea+IOcTFHOYygEcxrwSkUd9ZS/tGT8Nmd0eIaWaeZL3vu9QJA0OXse0+Z6+KfOPjrGGTlSDABvIoYE5eDnDP0jswpU9bARqTMZDPB3xB1R3VYC4KJwDsjgHFGmQMIC1qjVjfDpk/kLTibvK+cJy1HMZSsRa16r/oO29DcWvdaAyXxnlfqtQN6LpeWMYHngK2k9IFzLuUt9UhuHWqKCw79BCt7epr8H8bikvGY1FETMowoMdWoJyN9i0+4wJcJRnqDinrYbxiFF7OaUvXJ9pnXycaJu15gL13PrC67OoVg2uHCv/ojoxWoue6G3jw/ifns7aV8mFVH27AXSfAqRLKgAAZoDEpATpNoJBpAJ0njlOpVKhTpw6YL3+ePHnw9evXGGRJBdBnzJgBDw+PmHZWVlZgbq+XLFkSQUFB8PT0xL1792I+Y9q5u7trxVI6WWmFVipUjxhgAmVNF13EWqNFaCmJk7678XSgsWP6LY2OADzyc+Q0lS3EK3UBbB1cGw1K506/Dioh1Qysv/wKv0/OwQSjvaSvZXug57ZUy9J5h3c3AB9SJzZcbYqKMh8cGFEPVkVy6hyOPip8+vE3nq3uja6Sy6x56npjIGrppj/m3t8OHBzO2sNkMvAstg6bB9XSHxt1aEnglzC8WdGR8zuiajIT4kaTdYhCh6rizUNMdpWZ5U5gaU/DCP5qgukrgd/QYHu8dLEjbgB5DOMWv3xpDRiFkttlo6JHw8PZBdlMjTRBr17L2LhoMuzCyAHtT7nqIP9oknJWL41Xq6GalQtiKFnz5hddB8eB+le/W1v+O/7oE5rsrYxMomiiYsh5oJD+BQKitvaG6UuSWWyJogsGTPNGTjNjbdFrEHIvBX7D280O6Cc9S+ytMQho7yUs+99eA3zbsJh/qzPDtfwJLO5RVVh26BlauVKFSq6nECVXIsDEDqYiObFw8BmgsA7eURIplXbfuQVyZKbzhz4MuX4bbuLyixDWFMfWlhjemJvh5u+H38Jk6LL6Kt7/iJMtCsCRUQ1QqVB2faCD2kAZ0CoDNCalVXqp8DgM0AA6T4bDkiVLMH78eFhaWqJz586YO3duDLLEAugvX75EuXLlYm6rM7fWL126hEyZMrHWREREoFGjRvD394dUKkVAQEBMcF3TD52sNM0oladvDNx//xOdVl7FbuNZqCV+TszTZJowps4nU+/z/6dX9AxcV1XAkh5V0cmqoL5RKgh7lp17AdMLLhgWN21/lV5AZwGk6P72HFjJ3UAoHbUZ6wfVQ6MyFoLgn+8g774Lxed13dFWEiclbqOpQBNyY5vvNiSLL14mg/cqC4zNt+mfGnDJyqENYhh4+OEnfnq3h7XkEWGklQdQd6R+MvTlKbC6Lse2ocVOYZ1dHf20VwtW+T15j8Z74t12G30XyKX59wEtwE+3SMX6VpB+uMHKcZLbwX7SXBTKmTndsvVdwBbP0egXsZk182Pexigw/JC+m40o90IwVYSxds7L54WpDoP03m5NGXggiBceAAAgAElEQVTg7nt0Phxvzhl+HchbXlMqeCNHvs8BRo92sHjWK9qg1QQfFDan80t6nHTi0SdE7h6CLhJyux/1xwItZqdHrO77fn4MrCE1j1VqEYaXOA3vAToI0OreWsFofBz8C+2XX0FWROCRKUmxH2PA2AdAzmLat+XBTuCAPavnmaow2kTPx4VJjVE8t5n29VMNWmegldclPP9C1hKLu1dBl2qFEtX78ms4uqy6it9RJGOUW8cK6FdXB+NR62xQBZQB7TJAY1La5ZdKJwzQADoPRsP79+9Rvnx5hIeHxwTM/fz8MGvWrBhkiQXQR44ciVWrVsW0uX79eszt9fjPjRs3ULdu7ObjqFGjsHz5co1bSycrjVNKBeoZA8xJ+v4+t3DaeDLKiIOJdV03AJVsNWPtytrAtwBW1rjoETioaoCZ7cphSMMSmtFBpaSKgbnHn6HotWnoHadeMWrZA21JTdFUCdRl4/BvwELurcWaUavg3KsJbKoU0CUSvdV1LSgEso1d0ERC6mei+SygwTj9sfnNVWAjSX37S50Z3XLsxOnxjfTHRh1awqTjFvm2Qk1xINHK3Mhibmbp4/PrA+DFTXc4KN9e+DjQGpEpdffZey/Q/FANbvPxT4DsiW/ipVS2ENqpd/SC6PlxFupiuS1aj/RC+QK0tE1y/ts2dyj6yEjN4eCCrVFw6K7kugn+8z9zy8BMRuqRzjOfjaljxgreLl0ZsPv6C3Q/FW/OGXMPMNe/dxH1CUeIbpJDsbsUjVFl1BZaOiudg22P/3vkODQALeJmbWs6E7AWWLad0LfA0socNgblPwAf+6bpZIh2Tw8D226+xYwDj1FSFIxzJvHG1IzPgBG5kJQePUn2fXkW2NqVbfJNnR01Zauxb3g9VC9KM71pjXcdCq46+zR+RpDsBtuG1Eb9UklnhRy5/S6OPfzEorS3LoFpbQ0jY5QOXUNV6SEDNCalh07lqUk0gM4Dx9jY2ODo0aMYMGAANm7cCFdX1yQD6Ezt88KFCyM4ODjmxvqzZ88StYL5/Pnz5yhUqBDevXun8VrodLLiwQCiEHjNwJEHHzF6xz3cNhkOCxG5JY6++4FSzTSDfXNH4JUfK2uuvBe8lTawb1QC09rQhbdmSE6dlJkHH6HOnUloLyG339BwEtDMKXWCMqK1Ug64cV/yWsg8MaBja/StUzQjEOmdzgsBX5FpewfUEcf5/dZkVgo+MPblCbC6HouEuX3T0GQPrk6nAdC0uIc5jGW+tTkqit+Q7p29gSo90yKO/32YrCpMdpU4z6AcvvAZ14X/2HmC8OStR2h9PF7t4UkvgSwGkknk0Ejg3lbWG76KVig3aDXqlMjFEw/xF8Yu937ooTjMAgwu1gUF7Xz5C1hDyH4ttEL28FesNM+sUzFloh5lhtEQT4mJ2e53H7394h2SmxAAZOOWmtIyDN2IPz8HuEQOxR5T1kK+IbtQvai5bvTrqZZN196gzIleqCt5SixsPR+o4yAsiyNDgfnc26ODcm6Cz9hOwrJDz9BO2fsAu/0/oI74KXYaxylxaZIdmPZON9Z+egB4W7O6FGoxSss2Y/2AWmhWLq9uMFAtWmOAKQ9g6XSSI//sBGuUypM1SZ1zTzyD90Wy/mhXKT9W9qmmNZxUMGVAXxigMSl98ST/7aAB9Az20e7du9GjRw+Ym5vHpFm3sLBINoD+6tUrNh27vb091qxJPCUw8/natbE17Jh+xYsX16jFdLLSKJ1UmB4yEHvS+RECTfrDWETqKmLoBaCghhbFB4YDD7az7PkoWmO2oj+6ViuERd2r6CGr/Ddpwq776PB4DBoL9Ybx3MKA7DdLdDeZM5q06ogRjePV0+W/K3iJkElRmX9PW1QVkxdldFwJWPXlJd40gUrgBnF9tQ+uziK3LtIk10A7nX7yGSV3NUZJMbmdgO6bgfId9ZMRlQrq2eYQQc3aNyTTUqx3tNNPe7Vg1fErt9H2bHOu5KnvAFMDqal4xhm4upS1/6CyHjL39EXLCvm0wLZ+idw3uzu6qkjN8+DSvVGwz2r9MjIBa0KXNkDOUFImY6HpaEyaGifIovcMpM/ALaevo9+11lwhjm+BTDnSJ5iPvePVMb6krAR1vwO01FE6fbXywktYX+iKSnEPC3ZcBVj1SadkHXdXKgA37mGtQZmXw2dKfx0DoeriMtDS6yICv4TDRnwNy41XkI9ylwFG3dYNWb+CAS9uWYuqUd6YYVsf3WoU1g0GqkVrDLz7HgHrBRc48h+6tkQ2U6MkdW658RZOBx+zbSoXyo7Do+IdgtUaaiqYMiBcBmhMSri+ExpyGkDPQI/9/Pkzpo7558+fsW7dOgwZEluHJ7kb6MeOHUP79u1j2np5eWHcuMRTvjKfT5gwIaYt069tW5JOVROm08lKEyxSGfrMwGq/IKw4eQ9PTAdzzdRkna2zs4Ari1n5zC2IkfJxaFzWAhsH0lprGTG+7Lf4Y+iL4agRN91yu8VAzXjjICPApUTnkkrAT3ISf1j0eJRo2BNT21impDdtkwwDB+59QIUDLbllHWx9gIp6FFyWhQNzC3KYaChbgotz7CAWi+gYSSUDhx98RPX9DVBQ9J307LMXKK2/N/oVcwpCKg9n7R0qccc6p9GpZM5wmx+5cAU2F9txCZjxBTAyNQxSriwBzrqwtl5UVsa3TjtgW90wUtinx8mHXDuiI0hmo0/lByN/d7LOTI9sPvf9saoVzL+SzEFLJIMwzsmLz5B5hW3TkXMYcCdelpCZXwGpCa9wagTMnY3AEZLe/56qFD51O4q2lfTwtr1GCEuZEM+TAbC91hElxJ9Jh+5bgPIdUiaAR62U7vkhUUSwiAZLPbBh5kgeITQsKOEyBSq5noJaDQyWHIeTEclQg2INAbujuiFEIQPc83B0NZMtQI82zTDMuqRuMFAtWmPg9psf6LbmOis/k5EET2e3SjYTrN/zr7DzJYc4zM2McddJf9/xtOYAKtjgGKAxKYNzeYYZTAPoGUY9MGzYsJjAeb169XDlyhX2RzW5ADpz43z48OExyPfs2QNb28TrKO/duxfdunWLacv0Y26kp+b58OFDks3v378PJgU981y6dAk1asSre/Z/b2NjY0gkkpj/KZVKREdHJyk3UyZSf0gul0OhUCTaXiwWw8SEvJgzshkdiT1SqRRGRuQEYFRUFJi0+Ik9TFumD/OoVCrIZLIksTNYGEzMw+Bm8Cf2iEQimJqSjczkbGU4ZLj8+zBYGEwptTUyMjJJ7NRPCdOTHj/NPxmAw343cNWUW0MxclwgYBJbhzP+mEytn5TXV8P47AwWvL+qDGyjXVE+f1bsG1YT9PuUsF+1+X0atOUeXD4Mg6X4Pas82mY1lOU7J/od5JOfTDe3gohJMff/M1k+DOKqveHaPuEAOp33EnZrYr9Pu+8Eo+np1igs/kbm866bIbZsqz+/T1FRMPYsCJGK/H63k83BJscBMDORpnveM7R1xP57H9HmlDXMRSSgLOu1H+qi9fV2HSFebgWTCHLj3kHliDWzp5M5la73WC4SWkccu3ARtrd6cCanyCmfAJEoZi2p7+tyyYPtMD4Ze4iYeR6qiuNW833oU7MAXZcDMe8qib0/XZjbGW3FZAM4uOJw5Onopj+/T4m8P0Vs7Y1cwefZ8bFU1QNjZ69Fatflhvb79JewrUdOYejTASx/KoghdvkRM+cwjz6950qeHYLxYbKv8lJVAHc7nEb3/2+Q0v0IMs2m5j3X/Xggxj204ZQ9k/XYDVUxkvI6/gTOp/enuPtG0fPLwDjyCwt3mGoalk7j7gfQ96fUvT8l9uOdkv29m69DYbf5XoyIqdIdcJAeYcUpynWGvEPiWVY07SfTJWUgipPprYfMCdUatYdja8uYvUa6vxfrGiHuw5548gUT9j5hx1axXJnhN7lJsuuI97+i0XLJFc4Q959mDTPj2H1oocx7dL+c6ym+/j7pk5/8/f1hbR27Rrh16xZq1qyZ6Hse/YAykB4GaAA9Peyloy8TMGe+5Mzm1d27d1GpUiVWWnIB9AULFmDKlCkx7U+cOIHWreOlSouDi/n8763zhQsXYuLEialCzQQOU/p4enqiTJkyCTZv2LBhTJp65vnx4wcuX76cpNiOHUlK0pcvX+LJE7IIid8xZ86c7ITJfMacQPr48WOi8kuWLImKFSuyn586dQpMED2xhzkUULBg7C06ZgPl9OnTSWJv2bIlG7Bk6tQzE3piDxM8b9WqFfvx48ePERQUlGj7AgUKcH4QmEMLoaGhibavUKECSpUiKZcPHTqUJHbqp4TpSY+fmPTt929dwjETsunPbCgdqerLbiil108vj3ih1utlLPj3Kgs0jF6K7MZqzK6uBP0+JexXbX6fvB5JsFU+FoVEIazyGyUm4Ev2qol+B/nkp1Zf18A0+BqL1UPeC7dztINdmYQP7NB5L2G3Jvb7dPGTCNM+jYSFiKTJv1pqKrJXtdGr36daF3vDVBnGktM7ejpaVbVEDhMgvfOeoa0jLn8Wwe3jYGQSkQOIF8u4IipXeb1dRzR4Mh25oslBzjHRI7HEfQ6bwYCu98i8k9D36cXbN5j0w5ltFA0pTlj5xPzfENZ7+X7eQe3XJIU7szbaWHUXKksSPxycnvUew6s+rMuZM8VZ7ixBc8ldduzczGULsybj9er3KaH3p/JBa1D6N1n7rFbYYKDLJpw6nvTNREP4Pv0dDEmt9+6/fAWXMFd23ETBBKauX/XyPTfP74eoG7SQte2zOidOtLyAgfVjy+XR36ekf58Sexna9lKMTb8HcdY6l8q4INQs8Zu5fHp/irtvFOVVDaa/yL7OqOjRaF6r5t/zJDEU0Pen1L0/JTZuUrK/dzZYhCPvYi/0LDJaha4SEqx8adEKTwolXiZA035q9nQyssjI4Yrh0WORvbot5nWtrBfriPT4KW5fIe7D+n0S4cCb2HHGPLWLm2OXfV0ktw9bs0491PO6xaHOsYoCBTInzCZf5z26X871F/VTwuNXk/uwgYGBbHyMBtATm33p3zXBAA2ga4LFVMpgTiRXrVoVz549w+TJk8EEnuM+yQXQ3dzc4OwcuyF27tw5NG3aNFEE58+fR7NmzWI+Z/rNnDkzVWhpAB0xt+o1FUBXqoEdQWLc/y5CsSxqDKtkhG425AAEDaCT4ZmSFyEhLLBHbb+L0Mensc14LgtXJs2Kk5VWsv9PbyDp8cmNsA6cReSrpSgr2wSJCFhUW4lOneiBlIQmPk0u3OLLn3dfglOqocgmIqn7LpeegR9ZyiY6B/Npgd3i905kDjrOYl2l6IDDZt0xvDwNoGvCT8wmzrwvQ2AmIhlNLpVxhnnlVnoVoKh2dQhng8ghehysKlVDvsw0gJ7UYiyhjboLwWos+Upu9jH9z1t6QJ6zlN4G0OsEuCFv5AuWqpnygXB0WoCs/9cRpAEKMooSWke8fPMCE0Pd2EYRMMUZq7Ux/zeEgJ95+HM0fDGHtT9MnQlu5Q6jfiaS1SD+95AG0D9CoQLy3PVEQwmpxXk9T29ktR6pV79PCQbQ3/iidCipXbpJ0QItJ2/BLb+kD08bwvfp73clqUDS48AAzPjjwX6tfouyIpsLObCiT++5Of+8gHUgmV//qE3g2+gqRjUtHWM//X1K+vcpsTXQxgAVDkTacT4+V24uwk25JYHiNtDEujwxPOnZj4ha1QimX++zoqfKh6BadWuYkNgaDaAnQrw2LshseC7Gwx+xWSI3G82FteQRq/1JgR54mTdeyZs42DQdQG8Q6IZcf7jr22+WfeHdrwYNoMfhXZP7sLpa7x16K8b5j2JIoEQ/yRl0yRmEyvXb48jnPFCJE6+DzqwjWq2+i29hZG9gqKUSFXMmnCmVr/MeDaBzRxr1U8KTvCb3YWkAPaldJfqZJhmgAXRNsplCWX8D5EWKFMHTp09hZmbG6ZlcAF2XN9BpCnfNpg46eP8Tph16xvp7cL0icOpAsg/oU2q7+F8HQ02139/nFrK+PIKVxuSGuMq8FGRDyann1KS2Y3iNn3pVHvIapqurcyi3ilqDUGTD9SkNkd88NlU88yQ3xgzVTww3mkyZ1szrKq7IbCEWkZeeqIHnoM5TIdFfCj6leDI5Ox3iO7E3FZlnu6IJduadiF1DEi7ToenUdnFJ0maq/YS+T7pIvbriQhAm3mwQb3ych6RAZb1KkWu0sRXEn2LTJTKPo3woOtlNQtVC2WkK9yTWjAl9n9ZdeIoxt7gHJqPsbwI5i+ltCnfRzl4wfUuCWfPlPTFgylLkyx5b+oamyCWDKKF1xOFDe9EjYBTbKEycHdLJz2P+bwgp3EUhgTDdwE37O8XyDGZ1JOvu+F/D9JTs0fQ6IqP8FBalwFuvpqgpDmTpCbF2R/aGDnr1+5RQilzpeVcY3V7D2r1P2RBlHbahpDkpn5XQ1G0I36e/die13tu81Qf2wSTj1k/jvMgxnYyj5N5BhLTeE30LgKlPY85wmF/rGhzbxq7z6e9T0r9PiS2Bxmy6hHWfu3M+jhxxD8iaeG15Pr0/cVK4+3aA8duLrC3u8j7oN9YDebKS0oP0/SnhkaCN/YjGi6/iy//ByZPGjtwya+2WQ1kxtuxlQo+m/WS8fyAkL06wqpYouuBaoWHY7VBXo/sRGbWOSIzHlKTaj9tXiCncJ+9/gqOPvqCT+AqWGK9izVGZl4S85XyoijZIkB5mHWHrfQP33v1kP5/RujT61i6cYHu+znv6lBqcrveEUZqWpnBP9KeLfqBhBmgAXcOEJicuICAAVapUiXmpYtK4dOjQ4Z8uyQXQdVkDPTl7mNPVtWrVimlG02UkxxYwfOsdnHj8mW1YrUgO7B9RP/mOtIVgGei08ioqftwDdyNfYkPh2sDgpG+zpMpgpRxwswBAgrWtZfMQoC6CsxOsUSpP1lSJo43Tz0C9WYdwTd2fK2jsg5hglyCe83OASyQ7ynFlLSzMPgPnJ3E3CwVhCw9Beh67jym3G3GRjbkHmJfgIdp0QNrSGQgi9WSZUgANBrjBugwzX9EnNQysOHodo/zjleyZ9BLIor9cqvYMhPjJfpYmJhNGyzGrUSpPltRQZ7Bt9+z0RbeAcaz9P6W5kWNm4mWC9I6oPyHAAm7a38lFdmPBIFI6Se9s1oBBzO2nzwtqoZL4DSstvM1yZKkdb02jAV28E+E3D/AjGaNOKGvCrN8O+puVQket9/bCkE8khfuPTEVh7vgwhb0F1uxXMOBVngN6TsUTmGFbT2CG8Auu/fL98P4+kAtq2gfARHjvsqpd/SF+RsrnLVV0RvuxK1DSgq5hdD3qPv+KQp2551i1d0zskUtESkyh3wGgZOJZPTWO98hY4M5GVuwWRXNsNh+DMxPivRtqXDEVqG0Geq69jhuvfsDbaDFaSRIo5Vm5J9DSPcH3t9E77uHIA1KKdEiD4pjZnvs7o238VD5lQGgM0JiU0DwmXLw0gK5j39nb22Pt2rUoUaIE5swhaQXjwti7dy/27dsX8ycnJyeULx/7o2ljYxNzW/3o0aMx/2YeLy8vjBtHNsfim8N8PmHChJg/Hzt2jK2Hrimz6WSVciZVKjVqzDmLH39I/dIcmY1w37llyoXQloJjoOkiP7T5sQ2TjXYT7GVaA713adaWBaWBP6TOoF30FPipqmLnsDqoUyKXZnVRacky0GDmNlyRjuC2m/IayGyebF9eNLi+Cjg1jYVyXVkeo01mw39mC17AEzqI+fuvwfFhG64ZE58DWfMJ3TQu/j0DgTgB0BWKjijefT7aVU78JpF+EaA5a5btO4cxj7pwBU4LBkz0eCP2yDjgDjl8tlnRAlXs16NK4RyaI1aPJe3ZugbdXjqyFoYYFUTuGU/12OJ4pikVgBt3/TPZYjUWjOxtOBykwdL3PyIgW1IdpcRkEzeqkw9Mq3ZNgzSBdbm2HDhNyp1dUlbCjy670Mkq8fTRArNQq3DXr5iLISHzWB3fspSFxSRuTVetAtCl8KjfwDzuzUC3Urvg1DfeQTddYtIDXcMWbsLa8DFcS5xDAXFs6m1BPYdGAve2spB9FK1Rw8EblQvRNYyu/Xjy8Wc4bL0To1YKBV6axjsQNvw6kFeHgcrz7sClBSwNzEF1Z5Mp9D1b1wNDC/qaLvTDq5A/OGI8nXMQkaPKNAfQYhZg1Z8zt3meDMAqP3LQtXWFfFjTj5tlUguQqUjKgKAZoDEpQbtPUOBpAF3H7rKzs8OmTZvSpPX169coVqwYXr16BaYeE/MwAXnmRnpiz9+APfM506948eJp0p1YJzpZpZzOgM+/0XrJ5X863HVqAXOzpFMDplwLbck3Bmq4n4FD1AYMkZI0XajSG+i8WrNQva2BTw9YmVPkQ7Fb2QQreluhfeUCmtVFpSXJgFypQuuZ63HOZDK3nVMIIEm89hWvaH2wEzhgz0J6piqMDkpPBLq3AZPilj7pY2DujjOY9tyWK2TqO8A0e/oE86330fGAPykFwNywMO7ohR41i/ANKe/xLNlxBOOe9+XidP4BiOMU0+S9FakEeMYZuLqU7XRAWR95B2xGvVK5UynIMJvv3rgU3d84s8Z/MSmGvNPIOsEQWImeUxjG8t+sqY5ZPDB/0khDMD3NNr78Gg7TlVVQSBTCylD22AFJubZplimYjv6+wFFyMP2OqjQetNyDQQ00+/4sGD5SCdRnqTMGhZI5+0v2Ksg7/lIqpQikuUoF9WxziOJk/5pVcC1chvYQiAH8hGk/ZwW85TNYcAqpGaQzyWEefqJOBNXJ6cCNleyHexTWKGjnS9cwGeDEeScCsOZibGAyH77jhuloLorJrwAzHV44uOkNnJjCYripskRvhQtezqHv2RkwPDSqsoLzSfyJVuKuyTCYi8KTll3cGuixDTCNLbe4/eY7TD/wiO1ToUA2HBvTUKP4qDDKgL4xQGNS+uZR/tpDA+g69o0mAuhqtRqFChXCx48fYWlpiWfPSE3t+OaUK1cOTNr4ggUL4v379xoPfNDJKuUDyPfqa8w68u/Nnz0OdVGzmEBupabcXNqSSaiuVqPszJPwEK+CrSTOBlKdkUBrD81ytL0HEHiSlblYbotlyi5wtSkPu/p040+zZCct7VeEHAPcVuGgCQlcqKWZIJpJyjfoEk+adAWeAraTGoSf1OaoK1uBZ7NbI5OxHgfs0kRW6jt5bDqE6a/j3X4Q0gGLlJp81hW44sW2Pqysi68tV2FIQz1LVZ9SPtLRzmvTbox/PZSVoBAZQ+ryLR0SBdD10kLgvBsL9KzSCqqeO9Gygp5latCSK3Zv8ET39yTb1adMZZDf8baWtPFTbMTCysgc/pYFN8N4CuZMJ8EZfqLOWFSPg38h79qKsBCRgwfofwgoYQAlXB7uAfYPYR0QoCqMo/X3YVKrshnrFIFo37hoCuzCvFm0n8xrI/8YDZas4hkP0W4FYawkAZLZFovhPHIwz1AKC46981x4i0kWg+jM+WA85bmwjPiL9sJc4CKxhSkJIem5la5hMsCbvdbewPVX32M0VxMFYr8JKTUBsREw86tusxw82gvsI3PFS1UBNI9eiAcuLZE9k0AO22eAH/muMlymQEWXU8iEKDwzHcSFKzUFFFH/mlC4DtB3X0xGscsvvqHfBpK1hRkLzJigD2WAMpA4AzQmRUeHrhigAXRdMZ0KPcnVQGdEjRgxAqtXx95gvX79OurUqfOPhhs3bqBu3boxf2far1xJTsCmAk6STelklXIm7bf449STL/90mN+1Er2Nl3IaBdUySq6EpdNJrDNaiBaSuwR7k5lAo3i3k9NrWbxaWtsUzTBDMRijmpSiG3/p5TaV/T/+jMQUz6XYakzqaKrM8kA8+UUqJWVg8/e3gQ3NWQBRaiNYyjbh5vRmyJvNNAOB6YfqOet3YMYHB9YYpUgKiUvsxo5ePVeWAGddWJP8lFVwv9F6jGteRq/M1IUxi9dvxIQPY1lVkdJsyDTzvS5UZ5yOm2uBE+S3krmh87HzPnS2KpRxmASkebe3O7p/IilCP5hVRKHJVwVkQfqhhq9ohCwh91lBszEUzq4L0y9YjyXceRuKMj7lkFUUSawcdBooUluPrf7ftOcngB09WTs/qHNjZZWDmNulkv7brgELN3uOQf8IkmkvOG9jFBxOakBrQAWvRPyZVxZmUeRwrFs2VzhNGM8rjEICo1CqMNbJBSuNl7GwZTlLw2RsAnWEhWDY9ZXAqeks0ivKCvjWZTddw+jYd0qVGlVmnQYT3GSeIZJjmGm0jaDIXRYYpeNSE68uAps7sBhC1VlgJVuLi5Mbo2guMx0zRNVpioGgb+FotugiSoqC/81EOOYewKTufxxbqpXzFK0P9NmD17+BJgv9OB89dG2JbKb0UIWmfETl6B8DNCalfz7lq0U0gM5Dz6QkgB4YGIgKFSpAoVCgRo0auHTpEjJlysRaExkZCWtra/j7+0MqleLp06coXbq0xq2lk1XKKGXqn1dzP4OfEfJ/Othbl8C0tuVSJoi2EhQDX39HoZbHOew1dkUNcSDB3m4RUJPccNGIUX7zAT9yq/2MshqGyiehZ83CmNe1skZUUCEpY+Dl1zAsXLIQa4yXsB3U5iUhGhPnEEXKRGVcq+9BwPJqHP1lozbi6PjmKJ03a8bh0hPNc1b7YMYXsskqk2aBycxgPbEujhl3NgLM4Z7/n3uqUjhaawuc2uuwzqCesOq1ehXGf5nGWhNunAdZpgvoUE5a/PBPKYki8G97FP3qFE2LNIPrs2eVE7p9JYGId9mqociECwbFQ5hPF2R9d461eYGiOybOXguxmJYiSWwgXAsKQa3NpSEVqUgT+8tAfgNYS769Bvi2IfOs2hQTSx2Dd78aBvW9Saux2+YOQx/ZLrZ7cMHWKDiU/D+tcvna7/ei6sgW9pKF55FpIqY7kuxTfMXNV1w/I6Ixd850zDdax0KMzmcFYwduQImv+P/BdR+AdiwAACAASURBVHcLcHgU++cHqhJ42PYgXcPo2IGBX8LQ0otkAlxntAgtJLH10GOe6gMBG/LOrhN4X54Cq2MvOv19SkVtxp4R1rAqklMnEKgSzTPArJ96r7sJa/EDbDaeTxRkMgccX8f+/+W52DJ5f+JlESvWELIeO2A5+xLUatL1+JiGKF8gNsU7fSgDlIF/GaAxKToqdMUADaDriulU6ElJAJ0RN23aNMybF5sWysrKCo6OjjG10YOCgjB//nzcu3cv5jOmnYeHhtNF/28PnaxS5tinH3+j7bJ/658zvZuXy4v1A+jGTMqYFFYrJpDafPElnDWehFLiOPXbbH2Ail01a8ydTcCRMazMR6pisIn2QPNyebB+QE3N6qLSkmTg/vuf2LZmDhYYrSXtClgBwwS0ARTxA/Dkpv6vE7UcKxzaowYtOZHub4DHshWY/oOkEY4wsUDmaWQTNt0K+CLgyQFgjx2LJkiVH2sr78Z8WwMIxGjYB0uWL8K477NZqb8yFUF2R1InT8Pq+CEu4DiwsxeLhbkNerTpaTg0KskPfDxHsXe5I2y/r2FRvs1RB0XHneI5as3Ci9g1BJmf7WGFrlO0RY+Zm+ltniRo9nsajMa74x1yGuUP5Nb8QWzNelsD0n68ApZZcQT1y7MPW0aQjDwa0KK3Ina590cPBblxHly0MwoO3Ki39v5c0QQ5QsjhWE+pPabM9NRbe7Vt2PsfEdi4aBKc4twOVhZrBIndYW2r1o78JweBPQM4a+DTTY9heGO6htEO4QlL3e3/HlP2Poz5UAQV7ps6IDvi1Kbusg6oTMqW6QRb+DdgYSmOqppRq+Bp1wJNLPPoBAJVonkGDtz7gPG7HqCn5DzmGa0nCvJVBhzi7AV/fQZsbAdExMs+V6IxGr23x9swEkFf2686LfugeVdRiXrEAI1J6ZEzeW4KDaDz0EEpDaCrVCoMHToUPj4+iVoxePBgrF3L3LQQa8VSOlmljNYNV17D7ei/9c+Z3iVym+H8JAOoK5gyqvSq1Z23P9B19XX4mzggd9xakv0OAiWbaNbWwNPA9m6szK/qHKglW4WqhXPg4Mj6mtVFpSXJwLWXITjr6wpnoy2kXXFrYMAR4TCnUgKzcwEgL3CtZfMwZUAXNLXMKxw7eIp07uIFmPbbnUUXlrkIsk7Rw2Bo0AVgSyfWzm/qbHAtcwgr+3CzG/DUTbyCtXSxO8b+Jum4f2QtC/OJOk45qWtG3lyJ3WD6//mpNsP6ehdoWZIU+mHfkvHo+pO8I7zO1QjFRws0EJFCm+M3iz7mCOPb5BDBPmVD1J6wG4VyZk6jRP3vdubeC7Q4FO9g77jHQI7C+m98dATgkZ9j5wCzldg0ua/+264BC/fN7oGuqpOspOBSvVGwb2zJOX18fq7tgBwfL7KmeaEPxruu0kdTdWLTk4+/cGbVOIyT7mf1qcvZQNRjq070a1xJ0HlgS+c4a+Ds2FTvDF3DaJzopAVOP/AI22++i2lURvQep00cuR3GPwGy67g0UCLv2UNtbdC1uo6x6Ngf+qxuzcUgzDsRgAnS3RgjPUhMtWwP9IxTNoD55PNjYFN7IDKUQ8k94+ro+Xs0ZDCO+TuTtW1wA+6lBn3mkNpGGUgtAzQmlVrGaPu0MkAD6GllTov9UhpA/wvh+PHjMUFyZuIICQlB7ty5UbNmTdjb26NNG5KGThuQ6WSVMlaHbPLH2Wf/1j9nekvFIjxzaw0jiXYOOaQMIW2lDQYuBHzFwI238NKkHzcV5rCLQIGqmlX5+RGwpgErU6UWobRsM/LnzIIrjk01q4tKS5KBM0+/4NG26ZhgtDfpFye+8zivKBD1k0XZK3oGenTrg05WBfmOnPf45nvOhmPEIhbnr2xlkX2CHgZDP94D1pIDYtFqCQYXPo4tQ+rw3kd8A7h8wQyM/rOChfU9Z1XkGks27vmGVyN4Pj0EvBuyohRqMdyrXYZrx4oaEa/vQg4sGoHOYWTD7lWeFigxIs7vkr4TAEB1cSHEF9xYS88prZB/+GGaDjMJ35+4/gBtTllzW0wOAsxyG8CIARQehSGN/s3aOlTkgnUuEwzC9vQaedC1EzqBlIn4WH4wCnRfnF6xvO3/c3Nf5HhFDseuUnbC8NkbIRLREhFpcdr1oO947DsKQ6XHSfeqfYBOAj2U8MEfWN+MtSVSbYz51f3g2qFCWuihfdLIQLtll/HkY+yc3ldyBu5GvkRSjiLAuAw6wOxZgnMDuU/0NDRp0x1DGpZIo6W0W0YzMOvIE/hefYNFRqvRVRLnxnltB6BNnJTuf4F+egBs6sDZb2E+Oq6shRHycTGtBtYvBhcbOmdktG+pfv4yQGNS/PWNviGjAXR986iO7aGTVfKEK1VqWM0+jd9RikQbn5vYCCUtsiQvjLYQFAOH7gdj5s5reGQar9752IdATg3XcP0TAizgpoRjUm7/NLLAs9mt6WaODkcO4/cveydjmPQY0VqlF9CZ3ILTIZy0q2LSmDLpTP9/HKLHoZ7NQPSvWyztMmnPGAYWzp2OSbKVLBuh5lbIOUZAKf5T6scE0uH2tNiPnSPJhmJKRRl6u1VzJ2CEbANLwzeLOrAYqefpuEPfAEurcFw/w/Ik5vTk1o009LGRmP2HFgxBxz8kfXlQ/nYoab/dsOjy9wGOjmdtvqcqBZndadQpwWRYoU9CDBy9eA3tL8Q7gD39I2BsZhCEyZbWhEloIGvrOPkILHLzgERMg6LJDYDjLq3RVnSdbfa5ymjk60yy7STXX2ifh+0egaxPySGljYqW6OmyE6ZGEqGZwgu8p598xvcdDuglJYcwUMseaCvQtPjfAoGV3DJqU8qfh2f36rzg2xBAREYrUdH1FJj9OOZZbrQMNpIbxPSMfD9fWRv4FsBiGRM9EoUb9cfkVpaG4Bq9tHHktrs49ugTdhq7oY74GbGxpTtQb3TCNjOHzTd1BGS/OJ93lM3GA3UpWu5TL0cKNUqTDNCYlCbZpLKSYoAG0On4SBcDdLJKnr7Hwb/QfvkVTkNTIzGi5Cr2b+v610CL8jQtcvJsCqfF2+9/wGQeiPz2CldMYk+Qss+0D4BJVs0ao1YDbhaASs7K/bvwfjyrFbKYSDWrj0pLlIFtN99CdGQsegt9A2hdUyD4Dhm28sEo0HQ4RjczgDqoWh7fS9zGYZyS3IAIzVsPOYef0LLWDBAf8QPw5Kad65nFFzsndckAMMJW6e0+AvYKslH/rUAzWAwjaU6FbV0i6BMYP9OK78LcAa310lxNG3Vkfn/YRJJ6xEGFuqDkkDg3rzStkI/ynh4Cdvdnkb1W5cWLHpdoPckkfHXw9Dl0uhZvjnYOBbRUDoxvw0bmYwOTd5dYWB7yXhg2bSlyZzHhG1Re4VGr1Tjr3AwtJGTd+LXmFORpN4NXODUJJuLoNGT2J7ej9ykboJHjfjpW0kjyvjsfYHJwMNrHDXA2nAQ0c0qjxAzu9vsTsJgbDJ1U/AAWDqCZ4XTlGf83P2C75u+hHjVumIxCPlGclNk2y4DqpE69rnDF6NnYHnhDbinPkvdDVHV7zO1SSacwqDLNMWC7+hr834bikvFYFBF/I4K7bQQqkHIO/2j8cCe25JmMZL9hxoOvsg0s82XFyXHxsgJpDjKVRBkQPAM0JiV4FwrGABpAF4yr+AmUTlbJ+2X95VdwP0ZOIBbLlRl5spri1psfbOepbSzh0Ih7ezh5ybQFXxm48iIEI7ffxa9IOSqJXuGIyUwCVSwFnEIAbaT386oE/Iqt8cU8w6LH47SqJvwmNUax3IZxc4gPY2LdpVfId2Y494S7EDeAttoCL8+wlM6X94Si3ljMaFeeDzQLGsPyWQ4Yrd7B2vCjUDOYD9HDYGhMjT9zjq/6GHlh24xBgvZfRoDfMGsQBqv3saq/FW0Pi4Hx6ullBDBt6lTKATdu2uip+ddjnn03bWrVG9nHPHqiXTQ5mBNUrCdK2nnrjX0pMuT15dgak/8/P9VmONvhFmxpjdFE6dt/9Ai6+JOa33IYwcg1JEV060Mj5T57SB7tZE3ZoGgD69HrUDqvhg++6gNZcWyQK1W44doQDSWP2b9+r++CXC30N/29/Pw8GF2ay9p7WlkdZccdQdFc9J0rLcPb9+prFD85AI0lD0j35rOABvEOoqdFeEb0if4DeBTgaJ6QfxMW23fKCDQGqTPuPlwR0RdcMiEZaWIIGXUHyF0qY7jZYwc8OcDqXqHoiCeWY7G6L81QkDEOSb/Whp7nEfzjDwJMBsBYpCQCh5wHCiXj1/32wEOy9tisaAFnxUBkNZHioWtLmk0y/e6hEvSUARqT0lPH8tAsGkDnoVOEBIlOVsl7a/DG2zgX8JVt2KtWYTCXhXfefs/+rXuNQvC05aYpTV4ybcE3BpjbF0zdoznHn7GpwhqKH2KL8TwC1SwPMPmFdqCvbwF8IHWUneR22KJsib0OdVGjGDeIpR0AVCrDwJKzgah6cYjwN4D2DQUe7Wad6q1oh1dVp2K+bWXq6HQysMbZDg5ismkSWqIDcvbfkk6p/OyumFMIUnkYC66/ehY2zxLoZmgGUrzZpTf6i0hZiG+lu8Oiz7oMRKQb1Qq3vJAqo1hl03Iuxtyxg3WjXOBaTs7pgtbyc6wVQSUHoGS/ZQK3KpXwvzwBVtfjdPJt6o+B1jSTSmJM7tm/B90ektJDEWIzZHb+mEriBdz8rCtwxYs14KiyDnIP3E7T/ifj0rAoOQI86qGmmKS//9nUEzms7QU8GJKGrr6xGqKTU9lG15XlkW34SVQokF1vbdamYcvOvUC9i71RI84YQrvFQE2B/uar1VDNzgWxmgTSJuZcjkVjSVYUbfJJZQOjtt/F0YefYqjoJvHDAqO1hBZmT2ZSoHYuNaSE/GOTgNtkHb9D0QQHCztilz0tU5QS+vjWhtkHLOt0EjkVIbhpOooLb2IgkDWZbKMXFwAXSMmTS8pK6C+fFiPnvnML5MhszDeTKR7KAC8YoDEpXrjBIEDQALpBuFl7RtLJKmluFUoVrGafQZiM1D9f2rMqvvyOgsdxUvOoRtGc2Ducu8GnPa9RydpgQKZQYuaBx9hz5wNHvI34GpYbryB/y10WGEWC3BrFwqQpZdKV/v8wJ5kXKnrAu191tKqQT6OqqLDEGZhz7Cla3Rwg/A2gE47ATVK3fZeiMfwsnenJ+HQOfuYF28epFwZLyc3Qn5Y9kKNnnE2ddOrgU3f5wgowCifz4uDoiVjn7gQxrSebKjftcOqCXhISDP1e3g65ui9NlQwhNo6aVwqmUSQN4gyzWZgzmR7ASIkvz7jZoIWSpKJ+ZWmPEj0FWks2JQYn1CbsM7CoLOcT79qnYd+mdlol6n2/3bs2ofuzMaydvyS5kN3pld7bzRp40xs4MYX97y1VWYR0O4S2lfIbDgdpsDQkXIZPnrVQSfyG7R3WZjmy1tbjYOG9bcChEay9j1TFEDnwAmoVp4eW0zCE4H70Kbrd6oay4jjv0l3WA5WFm3Umek5hGMtJWuaJZh5YNHlkWuihfdLAQIP55/EhNDKm5wLpGnSTkjURyncCum9Kg1QNdfGbD/h5sMLOKKtjobkrTo2n6bo1xLBOxYT+iYaV2xlUEwViv4kr0S0xBmZ8Sb4MzuN9wF6Soe2DOjcayGIPvR4d3QAVC9KDWTp1KFUmGAZoTEowrhI8UBpAF7wLM9YAOlklzf/DDz/RYcVVTqNb05vhUfAvDN7kz/7d3MwYd51aZKwzqfY0M8CkLRzgcwvXgr7/I2NuoevoFbKc/L1IXWDQyTTrSrJjvIDnXqU1JskdYmpp9apVRDs6qdR/GJh+4BH63+sFSzHJMgEhbgD5zQP8uKkpNxX1wLYhdajX08EAc9hmn6stekvPs1J+VxqIbF2XpEMqf7tGr6wP428kpeuEaAfMcnZHVlMj/oLmGTKlSo2DLu3RVXKFRRZqNRw5O8bJbsIzzJqC82eRFczCSPDO2WgSZs8QaD1UTZGSQjkXZrdCE9UNtvXrimNQ3NYthb31pJkiGnC34BizssIOjOzWVk8M1LwZu7asQY8gR1bwd6MCyDWDlKLSvEaeSWQOojIHUv9/3qry4FLbs+hXpyjPgPILzofQCER5VUcpMclWENXJB6ZVu/ILqCbRPDsC7CLlDt6o8uJ17ytoYplHk1oMRpbj3ocY/6gDt0Z1n31A6eaC5SByQQVk+kMOBDgaTcP8GSRrgWANEwDwvwHNv1AvGo9DUTHJCok2nkDtDMyQcXsDcIyUuLirKgV7k/m4PUO4410Aw0JrEAM+/0brJZfRXnwdK4zj7P2ZlwDG3Ete76cHgDc5PKFSi1BO5gsZjLGmbzW0rkgP8SVPon63YOY0Zt85TzZT/TY0ldbRmFQqCaPN08wADaCnmTrakWGATlZJjwPvi0GYe4LcNC9hYYbzExvjdcgfNFnox+l8z6kFcprR1DxC/GZdeP4VA31v/wN9bLPSGGt0AOI4p4tRti3Qi9Q+1qi9TMpJJvXk/8/f1E+TWpbBqKY0XalGuU5C2Lid9zDpmS0KieLUDO29GyjTSlcQNKPn5lrgxGRW1k2VJdwsFuLo6IaakW+gUn5FynHOoxO6xAmGhtcYhSzt5+glIwqftpC+IwfJZsn7YdiUBcifPZNe2qsNo/7IFLjo3gZtJSR7ya/ak5C9jf4HksNWNELWkPssrbNF9nB2MbBb1GkcVJdnNUFD9V2295uqk1Gs08w0ShNuN9ns/DBRRbAGrCi2AqPs+gnXIC0j3+XrhR5vyVryi2lx5J1KvoNaVp/x4t/fAjaQQ81RaiOsbXgNY5qXyXhsPEYQ9C0cJiuqcNa+yp47IbFsw2PU6YT2yg/Y3JEVEqLOhutdbsKmCrfudTq1GEz3EdvuYHFgK5iK5MTmIeeAQjUEy8GfpbVhFkr2gqZjNDxcSZpmwRomAOCPg3+h/fLYg6d58ePftNoOV4B8lTLOkqeHgd1kLcIcwGmhXIJA9za03nXGeSXNmi8Gfou5UDNMcgTTjeLs9RW3BgYcSV6uLByYW5DTroXMEy/UhTCjbTkMtS6RvAzaQm8ZOHQ/GFP2PoRMoUL/ukXhalOBZvP739s0JqW3w553htEAOu9cIixAdLJK2l8DfW/hwnOSerRP7SKY07kSmNTu5ZxPQq5UswL2Da+L6kVpyjdhfQNi0a688BILTj1noWcykmBx9ypow6R7PDEVuLmamFW1D9BplXbMfLALODCMlf1cVQitoj0xsH4xuNhU0I5OKvUfBoZu9sfCIBtkF5ENeww8ARQVWJmGh3uA/aQOaqCqIIZkWYlLU5pQr6eDga+/o3B3QXu0lpBDN5H1HZGpxfR0SOVvV/XOPhAFHGUBesm7ot2YpSiTNyt/QfMM2fdwGR7Ob4EmkgcssnBrZ2RpOpFnSDUPJ2xde2QNvswKnqfsg6luWvoN1Tz8DJV43bUB6uIRi+FtjZko2p4cispQcDpU/mtuOWSXkVuxK/POxsjhY3WIQFiqdq2dix4fSXaLj5nLocAUkslAWNakAe3Pd8ASblBlXuWTmNqF1qVNis2nH38jj3cF5BaRdNXofxgo0SgNThBIl+C7wDqyJpappTjQ7h560qxfaXLgwHWX4Btsw+07+i6Qq2Sa5PGh0581LWD2mRx+dFEMhKubFw2Q6sA5cS84/FNSzzQ7MOU1IJboAEkiKt5eA3zJAaMwdSZUkm3AI9eWNEtXxnklzZp3+7+PCXDOkvpigPQMkZOavb+FZYHwz2xf++jxOKWqiQF1i2JWx4ppxkY7CpsBpvxfbY9z+BomYw0Z37wMxjanF6QYQmhMStjjW0joaQBdSN7iIVY6WSXuFCZIXnX2GYTHqX++vJdV7Kl0WTiaLb+NoBASYPO0rYzuNQrz0MsUUnIMMDeOD94nm7N96xSBe6f/N9/22wMPdxIRdUcBrbR00/TVRWBzB1bXL3VmVJGtR8eqBbC0p1VyZtDPNcRA77XXsSW4DSQickAGGX3KPS22vTwLbCWpN7+qc6CFeB0euLRMizTa538G3n2PwOslrdBI8pDlRN5sFowa6mld54MjgftbWVt9FK1RZegaVC+ak46JFDIQ/DMSHxY3Rm0xucUU1WI+TOs7pFCCcJuFb+mNLEHHWAOWKTrB3tUHJtIM3PQUCJ23XWqjpoiMmfd13VC4FaltLRAz0g0zZFFd5A57ysrxzj4O9uNnpVuuvgrYvcoF3b+SkiLvs1ZF4YkX9dXcf+1SyAB3bgruOcV8McOui+FwkAZL774LRZkNlsgiiiK9B58FCtdMgzSBdAl5CayozgHr0+QmBjWyFIgB/II5cOlB+IYO4IJigpyZhXvBIGJjV2R+c5a1yVPeA2NcV8PUiK5htD36/gY0GT1uUh/0kxI/oExroPcubUNIWn7IC2AFN7tC2aiNODulFQqbZ85YbFR7qhlYcf4FFp4OxDqjhWghIdmf0Ggq0GRayuT5tgPeknJdc+W94K20QVPLPPCx0+Pf0pSxY7Ct3v+IQEPPC//Y792vOlpVyGewvPw1nMakDH4I6IwAGkDXGdX6qYhOVon79d67UHRedY3T4Pa0xrA4NhgIPIm3xqXQ9fcEhCB7TBv7RiUwrU05/Rwoem5V++WX8TiY3LhwtSkPu/rFY63e1g14cZow0NQJsJ6kHUa+BQIruYtryyhf1ChVEFuH1NaOTir1HwZ6rDiLXSHxaj6OfQDkLCYstoLvAOuaspij1RKUjd6Ml3PaQSIWCcsWHqEN/BKG0JXNOcFQddtFENUit/15BDf9UE7NAK6vYOXsUzZE7n6+aFSGW5c4/Yr0VwKTGjd8eUNUEZNa4AqbFZBW1/801JF7hyPT4+2sc30VrdBx2laY05I3yQ74+87VUFUcxLb7aL0ABZqSLDXJCtCTBl9WtkHeb2Q97pPJDoMcl+qJdZo3Y8+yKej2w5sV/DZnXRQde1LzingsMXJOUWSS/2QRzs3tgWmjRvIYccZDu/4yBDW3lIZUpCJghHh4NDVUhn8FFnJvgK2tdRrD2tJ3rtTQ+LftoPmb4BMZ75CX84+MvSWcFkPi9InaNRCmz/azf1mtsEG3qRuQO4tJOiXT7skxEDdD4CnjKSgrJrXo0XwW0CCDDy5HhgLzuXsD9aKWYfXIjqhSOEdy5tHPecaA08HH2HLjLY4bT0N58VuCrsMKoFoK39cOjwHubmL77lQ0xlTFMJTJmwWnx+txNhee+ZJvcE4/+YxhW+78A8vMWIL9I+qjbD7DzupHY1J8G7H6i4cG0PXXtzqxjE5WidO82i8I80+Smz+l82TBmQaBwHESPGU2gmcpYk9atyifF+v6C7fGl04GHA+VqFRqVHA5hUi5kkW3bUht1C+VO/b/65sDH+LUR2/vBdQYpB1LZGHA3EIc2dYyL5jlK40TY2ndau2Q/q/Ungv3Y2f4QO4HQrxB8eM1sKwqx47yUT646mSDnDR4lebh9PDDT4jWNkIl8Rsio9NqoGrvNMvkdceLC4ALpN7jGWV1yLptRfvKtEZoSv325OMvGK2pizLiYNLF1heoqP83IuXHp8HoFknZvldpjdrjd9HbOckMHqVKjeeuVTibeJ+bL0O+BvFu96V0EAq43Sefvsj/jtSf3CbtjD4zNwrYIu1C3+c1Bl1/kQ3cN7mboNiog9pVyjPpPxfXRI7fgSyqRZnHY+IUUheeZ3B5Acfv6Qc03h2vXNSoO0DuUrzApxUQ8khgDvf21+rKezC8C83UlBa+h7otxTqlM9tVYZQV0hlxgp5pEZrBfRSHx0N614dFsVXRDA3Hb0HRXGYZjEz/1bsefoKN194gB8Jw39SeazAfsmOo1YBbbkClYLG1l7ljkl0PNC7LzYKi/94SvoVMCb8zT7/ggckQbhm/fgeBkiksf3d1KXCGzIE3VZboEe2MzMYSPJnVipZ+EP4wSZMFS8++gNdZsiaNK6SweSYcHtnAoPfmaEwqTcOKdkoDAzSAngbSaBfCAJ2sEh8N/X1u4VIgqX/er05RuP2cCrwhtTyfqoqibfTcGCElLcxwbmJjOrwExsCH0Ag0mM9NqXNzejPkzWYaa8ny6sD3l8SqbhuBCp21Z6VHQSA6nJXfXeaEt1mr4ub05trTSSVzGOg1ZxN2yOPdoHAKASRGwmIq8icwvygHc/2opdg6qRuK56YbP2l15q3XP2DuWx+lxKTsA7Q9L6QVrCb63VwLnCB1l5nNgNft99Aaoang9s7bUOTZUBOFxWRNgV67gLKtUyFFmE3VfvMg8otdJzHPKWUNFBlxAOXyZxOmQTpCHRmtxEf3Cigp/sRq/NZmHSxqd9cRAv6o+bxzDPIFkIDwfjRBF1fDCginxhsHFgxD5z8kte3rfG1Q3CFOKaLUCBNo2+/eNsj16RKLfpWkN0Y4rRaoNbqBffbeCzQ/FO8g+PinQPaCugGQEVrUaihm54ZUTQJgK0qvx6g+3TICjeB1jnCajVWSRawdsqyFYTLxsaDtUp9xgegqKYlxUFkPpRx2omLB2AyE9NEeAyO338Wxh5/QQuyPdcaLiSKjzIDjW0BqrD3lKZW8yBIII+s0u+gp6GA7AF2qcS9EpFQcbZdxDHRccQVBHz7hsWm8jHKpOUgWcAzYSQ7UM+XzasliDxHfmdkcuWjmioxzcAZqtt/ij1NPviSKoH6pXNg0sBakEnEGosw41TQmlXHcG5pmGkA3NI9r2F46WSVM6NewKDRe4IeIaHIreW23Umh5tC6gJn9jUiKXl/lCASmMJCI8nd0aRgb6w6fhoakzcX7Pv8LOl9wwz2oixUPXluSE6PziQOQPgqf/YaCEFlMwLa8BfH/B6hsdPQonRfUR6N6GnlrV0ajo47oS2zCd1aaUmELilPiiV0ewUq+GORk/Oxdnzmon84Db8N6oVoTWr049obE9mINVJbbVQSFRCBHRew9QRk9vLD3cDewfytoaoCqMz1VKGwAAIABJREFUKy0OY0jDEmml0OD6XXsZgtJbrGAhIqVCoO3fEr6wfH0VcIrUDrymLA/jwcdQo5hwa6LqgtpfEXL8nleOc+gitMNm5KzWURfqeaXj29HZsPAnQZnTyupoPuscxLQUSYJ+Ojx/ADpEkgMGrwp1RokhhnVj//v2ocgVuJvlZ4uyJfrO3k3X0Ul8s0/euI/WJ+O93wgx+1IqZ68I9yLIrPjF9lpe2AujB2sp01gqsQmpeZRcCSfXqVhgtJaFLbOoBJORpB6wkOxhsV5eBJybzf73nNIKWQbuQ+0SuQRpjpBAd/e+DubQ8gzpVgyVHifQizcCBhzmhymrGwBfHrFYJkY7oFwbe/qOxA/vpApFHY9zyBr2EmdMpnD7zfgMGGVKmaxvz4GVtThtK0atRzgy49DI+jS1f8pY1LtW1p4X8O5HBGsXk5EgbpyB+WBg/WJwsYmXBUjvmEjYIBqTMhBH88BMGkDngROEDIFOVrHeY1Jl3n//Exeff8WF59/wKJi8SP/17yPbcGQ9+m/tyVayeXiuLhLT7PzERihhkUXIQ8LgsK+//Arux56xdlctnAMHR9aP/b9KBbgxAcg49QDtLwP5K2uPp43tOVkO3OR9sEHZDg9cWiJ7JoHdgNYeS1qVbDdzHjZKyY1JeSYLGDnGyUKgVe0aFu5ZAoj4zgrtEz0Ng/sPRFPLvBpWZDjimDpWNXZXh7mIZIrAgKNAcT0tsxB4GthObmN9VJtjV4NTGN+ijOE4PZ2Wng/4glo7KiOLKIpI4kP6yXTalaLu97YCh0jt4UeqYvje5wxNb5kMed/CZFAtLIO8IlLH+bftLmSrqP9ZC+JT8/PiSuS4QA613VaVQdnp15DNlK6JEhpGxz26o230KfajV8V7o8QAw7p9/euYC7LfJrdGTyprot6ME3TMJDHvHLt4De0utOG2SE3gIEU/CPxr9GteeWSPIuVVVuSZhVEjMri2Mv9oShYR85vlPW88ZhptY9tGF7WG8UBSfiNZIXxscGsdp3wfk4XpT+/D9D1KB75qutAPr0L+4JDxTFQRvyIaG08DGk/VAYIUqNjcCXhFMhl6yHtB0nAcHFtbpqAzbcIXBpi94DIzT6Ah7mKj8QICy8wCmJyKPSCFLLYsSJy9w3ayOXiiLo6VvauhXeX8fDGZ4tARA2FRclRyPc3R5mNXA1P3PcLXMBnn7wtsK6NbjcI6QsYfNTQmxR9f6DsSGkDXdw9r2T46WQF7/N9j3okAfP8TnSjbZfNmxamiW4GHJCXi38bjokfgoKpBzH/X96+B5uVpYErLw1aj4qftf4gdt96zMm2rF8LCblVi/x8ZCswvxtU37jGQQ4sLm31DgUfk1sw6RVvMUfTFhUmNadptjXo+YWHRChXGOM/CGmOy8RqdvTiMx9/XgXYtqIiX0WBk9Bg0s7WnqeXSQfXhBx/RYn8VZBLF+c0Ych4oVD0dUnnc9d1NwIfcrv+jNsGiGn5wtinPY9D8gnb84Ue02lceEpGaAHO4CuSryC+g2kDz9DCwux8r+Y0qL57YXqSbSMlwHfwzEpm9SiFnnIM6Eb0PIXMZwysVFHl3FzIdJgdYX6oKwHT8HRTKmVkbI1bwMk+7d0RLhR9rx6syg1Gid5z0t4K3MHkDZNfXwuQUKT1yT1UK5mMv0brFSVB36MxZdLzaldvC5ScgEiVPuIBbfF9UG7nCAlgLVuaYhJHjnARsUcZAf/UtHMeXjsAo6SEWgLJ8J0i6k/IbGYMsnVof7AIOkN+fZ6oiCOxyEh2r6nFpg3RSpqnulVxOQSULwwOToZCK4lxmGHAEKG6tKTXpkxNv32aNoj1eV3XEfFstXrZIH2LaOwEGmOyjteacQx/JWcwx8iEtClgBw8h6KkXkLakM/HzLNmWySR5R1cPUNpZwaFQyRSJoI/1hwP/ND9iuuc4aJBWL8HhWKzz79Bs91t4As/f498mdxQTXpjaFsdSwUrnTmJT+jHe+W0ID6Hz3EM/xGfpk9f5HBBotuABVnD3thFzm3sESfS83iw2oxnuYhfI8RWytm+ltLTHMmi6MeD7sOfC6rbmG22+IXzmL2x+vgGVWXHOmfwSMtVg/+owzcHUpq/Owsi7GyEdjr0NdmvJWBwMr9E80PDxmcFIQyvNWhdHwizrQrgUV61sAH26xgmfKB6J4m7EY3KC4FpQZhsjdt9+i+7F4GyPDrwN59TSgnEA6uqkVzmNeNz09MKCFYXzw9it0Ohbvt2T0XSCXAawXXvkBm0na8e/qrDjV9hp6147N3EOfhBl4E/IHFsuLw0xEbifI7E7DpFhtg6NM9fICxFs7sXaHqLPhq/0TlC+QzeC4SInB52e3RlMV2ax7XXEUitvOSUlXvWmjfnYUol19WHuC1bnwZfAdWr4mCQ8fOHoEnf37si2iRcYwdvmmN2MiMUO+LmuGPD/82Y+9M9vDfoqn3tutaQOZTH6PvQehr/QcEV1jENDeS9OqdCsv4Diwsxer873KApfbnadrGC17ITJaiXLOJ9FQ/BBbjOcRbWIjYOo7wJgnB+hOTgdurGTx7VVa42QpZ6wfUFPLDFHxmmTgcfAvtF9+BZOlOzFSGqc8QLkOQI8tqVO1pTMQdJ7ts1hui2XKLuhbpwjcO1VKnSzaWvAMbLn+Bk6HnrB2xFzMGx97AGjfnQ+YuOcBx8ZT46xRNl9WwdudGgMMPSaVGq5o2/QxQAPo6ePP4Hsb+mS1/+4HTNjN/dH6OyiymEjRoFRudKlWEC2yvILIN15au/8bXlJWQn95bH3PnjULY15XeuJUSF8sq9mnERohZyFzsgh8uAOsb0rMkRgDM79q9zbGjdXASZKWjEkV1yPaGd79qqNVhXxColaQWD+ERmDDwilwMSIvS4qiDSEdeFSQ9mB7DyDwJIt9gbw7JI0mYULLssK0hweot195ht5n63CRjH0A5IyXrYIHWDUCIewLsIibrn1K8f3wHNBMI+INQcieK4/Q7Wxsphr2mRAAZDOAVH7Bd4F1TVizZWop1je+iZFNShmC69NsY+CXMJRYVYRz60o17BLEBf7PkJNmyQLs+OkB4E1umynVItzu/wJ1SloI0BjtQ77s2iQmDenf563VZBTtOFP7ivmkIfgOsI6s3+VqCS52f4LmFQxgzk2jH/bt34WuD8lN23BxVmRx/pBGacLp9sW7M/J+IsEOH+M+GDR9lXAM4AnSyy++4efmvrCR3CCIGkwAmrvwBGEaYby5Amxsx3b+qTbDnmZXMNS6RBoF0m4pYYC55NLQ8wImSndjtPQg6VK4NjCYmw45JfK01ubyIuDcbFb8BWUVLM03l5QD1JpiKliTDJx9+gVDNvvDy2glOkuuEtF1RgKtPVKn6vhk4NZats9+ZQNMkI9AozIW2DSIWx89dYJpayEyED/baaeqBbCkJzlUX2vOWU4q97X9qqOlge35GnpMSojjWqiYaQBdqJ7jCW5Dn6xWnH+BhacDWW/kMjNG1+qF0LisBWoUNSfpU864AFdJSue47vuqzoFastgX7ZrFcmKPQz2eeJfCSI6B7+EyVHc/y2nmN6kxiuX+/4b5i7PAtjjpDLPkAyY9T05s+j5/cgDYY8fKYNLdNo72wtwuldCrFr2xlz5yk+/NBC2OLBuHiUZ72cbqsu0g6rU9+c58bHHAAXiwg0W2XtEGb2vMhFsnA0gdrSV/bDnrj35X4gWPJ70AsuTRksYMFiuPAuZwS5NMzueDBQ7xUr1mMEw+q9959gZ6Xmn1H3tXHdfU94afBWVhgYotoiAWihgotiJgJ7ZiY2BhE4KFgR3Yhd0BJoqo2C0Y2ICioigisfh97vh6z7YfKINt3G33fj78wXbO+z7vc87u7s5bshCnvQWMijIZtnKwfY0BVtWTkTW/3iXM7CSXka8cbVoj5fH7RNTcLFcpxP0mYKKDwU/f3wPLZb+zLna+iVY2OshFDnb4De8maMgh2S7vG3qjfIdJOZipRUN+xAPLZHvQHmtzGZ2b1tUiI5VrysF929AjagIt9Bu/JIrNjlGuEgZK+7RtIEq9IWXHd3I7Y4DXDgYiZTak04/iUWh/TzjwHhGgbf0A+/HMBv4vdPEPgQ3N6FECMRcr7SPZQOR/8ZbH9++8/Ybu665hn/5cNOSSFguw9wDa+uZRuhKn390BHB9HC3woqoyxhQIR7kkCR5WojRWlIgZ233iLWUceY7++L+y4Umd97RcAjccopvXGBiDEk55zX2SOLul+MDcpiAuTda8Nk2Lkad/ozmuu4sH777RhMzpYYqRUKX/5aqizna0wrJluBWip2ieVkJCAmzdvSv4oXdTf169fJWsyaNAgbNu2TaGNFxoaiqCgIIm8z58/w8TEBHZ2dhgxYgQcHR1zJCslJQVr1qzBgQMH8PLlS6Snp6N8+fJwdnbG+PHjUaECe+6fIyIVHMQ60BUkjB0uy4Cqb1ZM51s+IszVrjwWdMsig3xNI+BzVLbm1E9dh68wBuWAvzOnLdPNZvH9x8CNV18lvWf+XFS/mai5juBx/+v3d3sLcHIi4cvECnCXiqxXBZNy/YZ/i/VhlbYVU9tbshl7quBbTubdd99wO8gdI/inyDt1XIGu69WgXQUq5ErLHRI2Q5jVXKzuK+vQUoFmrRW57VQ4Bt/qKGvfjA+AgfaW2xLMNQVfREpJTy0aiMUeQ7V2jZVt2O7TF9DvZjdZsbM/A3x9ZatinrzkBGCJhQwuL4sjmNtPqroL81DnO6J7r+Jgs8NKFsf4+0BxHWy/kZ4CzJfNHA5pdRodHOzzfZ2YCOCely1suC9oaHHNFsKs9WgmQlUdJqEAIj8TcEF6S+6vvwe9OjqpTqeGSz6wcy16xmRWVKOuz/plYTLzqYZb9W/4CXvHwjSaVJ3aL26NXr6H/z2RHSHDwN6b71DjZCfU5r4mr3daDdQboNlMJb4GVsoG3vjXPo/Z3dgS3apc2NDHHzFh13U8NBgGA46AqOp7AKjWTpWqFZP9LATY04eeQ7ULaSdeiydzc+ZEUUwZO1pVDCw79xwrL7xAhMF4lON8IWp67wKs5H7z/wuEXAJOkrgA6qRthAGfh2g/R3A4/50z/ksO+77GMyAUiWHtHYrUDPIsutPNDs0sSAWtyfsf4NBdUu1nQKOKOpfoomqf1N8+c4o40MViMUaNGiVxnmd3UU709evX//VzHhMTI3GUP3uWdWKesbExgoOD4eTE/mZR9k2AdaArm1Edk6fqmxXT6Ry45SbCn5P+blPaVcPYVrIHvfj2Bljx95KZ/dNnIEKU2dPmgVc7GBfQY7rpLD4AuyLfYvbRxzQXlqULI9TDARBmAFeWAeEBgEjqR1tFe2DIadVy9+0tsEI2iKN2ahC629eEd0dr1epmpSPixRe82z4MfflhhA27EYDTYs1k5/JiIMyfxn5eaIPtlRZhp5vu9dFV1gJuPhICtwfksEQi1ysR4PKUpYJxclIXVoVhKvmunF7ABws9pYKLGIeYWYB2HjmBAQ9Ib1khuOB5J6q2HQhTKMiigsE0s61YNEIuoIApeBmC41bUKzTYJ5elPykKKGLGEITqhZHuYwJ9pNNKTzTYgY7OndULQgO0CYQiPPetixrctzTaT21WolTTQRqAXrkQk/yrwFiQmWFCXfuqLUPvvm7KVaJF0g5sXYaeb0lmZ7yhOcpMJ60AtMhUGVO+HJuJkvdID+PjwsZw8Q0B908wtbYarmS7Noa/Qrvz7VGRm0Ak58b5pGRceRaXkggEyAauzTI/iHkD2ISJPHP7FwE7I99i+7FQnDcgmbyS4Uyr3vThNrCJVCVLFevBMm0bov06wFBPe38XqnLt80P29EMPceDWGzwzGCTTOgkjLgFmClbMyiLoxiZ1Pb6hCG7Oag3Twob5YSKrMx8YiPmcjNZLL8tovj27DUoWMqBfowI3qACOP5dDNRPs0LFS/6r2SUk70KksbysrK5w9m9kKRBEH+qxZszB/fmZLBxsbG3h6esLc3ByUQzwgIAD37t2TvEeN8/cn56/SGyA5ORkNGjRAdHRmZZXhw4ejT58+MDIyQlhYGBYsWABqTIECBXD9+nXUrs22B1bmR5d1oCuTTR2UpeqbFdMpbb30EmI+/6JhLutVB93qlZOFLVeGBwVKAsblgPj79Dj/jH7YJMzsj3V4TBPUq1CM6aaz+AD4HH+Cbdfe0Fw41y6DNe0KA4dHAHFZHBqpw5EqSAP8ZUtBt00LQI06dlgh1S+HXUDVMHDmyUek7x0k28Ov2RSg9RzVKFS11FubgFOTaS13RBbwNgnEyXGkHKGqIWib/E37DmFYFMm+zuDoQ8+bOJe1zV7Knl/L6qHgD1LKdTZvEvznaHhfSzUu1I59+zAwivSW/c0tCCOvODUiyF9VwrklwRNl0CAmGQdi2US2gsHfViXy4VM0OtxYdsjUV0DBEvm7mPmkPdGvKooLyX32aI1AdOnF7iH55fiVJsDHeTVhzo2n3/rqtBEl7Hrl08rln9q4gIYwSyGlf/eX8USvkbPyDxDDNR8ImoeecQE0yg8FrVFu6jWGo847vO9nA1D02jxaENXDuMHsiyhkwM+7cB2SsPTsMwy72gLGnBRi9eBTQKWmms0CFVTvV1LGhimlNmLJaN27p6pzIZedfYb7lw5hh/4iopY6g/NkWFuJLJyl1qmbcXa6M8oWNVInZayuPDAwZOtNPHsWhWuGci0npsYABWU///9UIxIC/qUAqd893dJ8cFdcjT0n/id52jXg5MM4jA3OdKpSl0lhA9ya1UbGyGP3YzFhL/ErVCxRAJen6lYLCFX7pLy9vSVOa+qvVKlSePPmDSpXzgyMy6kDnSqzTjneBQIBbG1tER4eLnF6/7mokuzNmzfH7du3wefzJQ5yyrkuf/n4+MDXNzNYlXK6T506VWYI5TR3cHCQ6GnZsiUuXryoXR+KfLaGdaDn8wJounpV36yYzA9VgqOG1xn8zhDSMPeNaISGVeQOJ3d2BWKkblx1+gI8PkD1PPrvOiRsiskZmf1xFveojZ625ZlsOovtPwYGbL6BKy8yyzRxIMIWq/to+X41IEj9f47M6gH9DwEFiquev4AqQArJmhmQPh0wb8VmDaueeRy59wFFD/dFS94Doq2NL9DUQw3aVaDi8SHgIHEyxIjKYGCBtbg6nS2fnFu2g3buxIiYseSBmVcYBeaQ0lu5lcvkeclrW6FQwh0aoq9oGLznLmUyZEZh275zKwbFkHvID34JFJn9ilEYVQkmfUFl6Kcl0iom6PtixUwNvaeqkigp2Vdv34X9SbkDlBmxgEEhNSFglpq4hfVhlvqSBnW00mx0GSx76MAsxPmD5mtyGtIWW8KMQz5vSd32wLi27pUBfL3SBZUTr9ALccR4ILpOXJU/C6MBWg+unYMeCStppG+L1EfFSdp/cPcrYgMKnidZrrdE1VBhyhWUKsJmCSqybX2PPYT3Pbng3NHXgFKaXz1NMLcU+CJyNjCh0BKsmDJcEXrYsQoyQLVZFN7ZgQC9jWRm6drAKHJPV1CkaoanJQMLysrIdkgLxGr3bqhdrqhqdLJSlc6A04orKPDxJg4azCWy+UbArPjcVQtb3QD4QrKKJ6ePwiGRA1a62qBTHd2sJKX0RdMAgQGh0Vh7iQT9ZJVdfv/9d3RZc5W2hs/lSEr983lcDbBQORDV7ZPKjQPd3d0da9eulRhMObkbNWr0f8ZHRkaicePM4PexY8di1SrZ3xwZGRkwNTXF9+/fJc74x48fg8v9/3WmysRv2LBBIodyyNevX185RLNSwDrQ2U2QJwbUfbPKE1glT078lY56fudkpEZMa4lyxQqQ19J+ApQzU0jKRqLndoDq6RlCDu6iRBXQIX2hZN7oFuaY5mipZLSsOFUw0HjBBcQnpUp6JK7TW472vNv/r4bDAxymAg5TAJ6aSvOvswc+kdLy1EP301IuCJnAZg2rYh9Iy6RKxlme7oEGXPKjB87LgAYaWvYzJgzY2YU28au4MJpjMx77tlc1lVorP2jLBox4Rw5bf+iboshM0m9WGw1P3tINhd5doE0LyOiNyX4bwGNLnOZoubdtWYvB70hv2UT9siiuA71l/5CTurQODH+Sai8TRJOwYi5bweBvmyf82lU4nJVzes75or7nkBztbPUNer20FSr/JEE8x0u5o9PozDJ67EUYiPv+G4aBVVGck0y/mOJ6FAWq61Y2C2X8i83DYPH+AM1DqGEHOE7fy26XbBg4tHIKuicSZ9XrYvaoPEHFbasYsBqC+/vAP0oqxESLykNvXCTMTXQzWCm3SzI7+DL8n3eSna4lbUfSFprDIJX0RR7H98Kq2aS6V245Y+dlz8Cw7bdg/XwdJuodIoOqdQD6MuweLhYD88oAgt80TirbeNygfmhpKVtRkF1v5jJg638OTVLCsFKftPNACQtgXBZngzkxY48r8Ix8f64WdMYSQW9MbV8d7i2r5kQCO0YLGKAqG4Q9I9WzRjavghkdrGQs+/YrHTZyPonwqS1RoYSUT0ILuPibCer2SSnqQKcSL6nS77GxsbC0tERUVFS25lDvU73Ny5Urh3fv3sn0Qj937hzatWsnmbtw4UJMmzYtSznSjviZM2di3jxSJUnLt4LKzWMd6CqnWLsVqPtmxSQ2H31IQsfVETQkyg/wzL8D9KSjvZ4eB/YPILC5eoDnK+DjI2AbOdhMF/NgnbYVGeCjvXUpbBhgyyRTWSxZMJCcJkBN7zOSd5pxH2KnfmYAhMxFPTh32wCUVXPU167uwMvzNBTKWXWoYC/cmClb8oddWOUzsOFyDJpf6AxL7nsivNsmoHZP5StTh0TqXrWelE8UiTmwSNuBKH8X6PN1J7JVmVRvXB+I4R99aJGJhhVQfPojZapgnKyUvUNRIJocYq0XuKDv7G0oYqimoCLGMaIYoG1BSzA4zo+e9NnIHCbTtL+37B+DU9c6wDCBVPWYnjEMPj4BbH/Iv2yjsMsX0TKsKz1CBA643t9ylwmj2HZl5Ojnq3ug2hcS9Hq6aF84eaxjJNb8BPXqczJKr66CApw0GoZg6DnwK9jlJ6x80f1i/2xYPCXZHxG8Bmg6hzxb5wsoBis9smwsuv7YSSN8ZdIaVdwPMxixkqA9CwX29KaFfRCXROLwO2z2qIL0ztx0DPM/DJSdNTMe0Nd8J0BaoA0MkkjVoHECD6z085E5GFeQLnb4PxjovDoCfT4ugSs/jIy0dQNcljGPu8BaQNI7Gtew9Mlw7D4UPerLtYVkHnIWEYB0gQjVZodgDO8YPPX2EU6qtAQGHs0dR2dnA9fI88cpoR3cMzzgalcBC7rVyp1MdpbGMdBo/gV8/JFZvaQ85xP2Vg5BWSMB0HQSUDkzMYpyztb2PYufqQLavp1udmhmYaJx9uYWsLp9Uoo60F+9ekWXYx85ciTWr1+franU+0FBQZL3qXl/SsVT/3t5ecHPL/M8KLssduo9qnx70aJF8evXL0k598uXL+eWWnaeHAOsA53dEnliQN03qzyBVfLk0McfMWoXyWYxMzbEtRmtZbUcdQfu75J6kGoBDDwG/P4OLKooM9YxbSGixRVgYVoI5yY1VzJaVpyyGXjw/js6/1cux4N/EB58uUOihqOA1t7588P/mDtwj+y7bYJ2mCceguf+Hdgf68reCHLylp17jl4RHVCOQzIN0Hc/UE1DM7Z/fgSWVpexskHqWpya1R2mhdnylLnZTptWz8ewL6Qn3+dC1WEy5WZuRGnMnPTjk6F/dxONN1jQEi2m7IEZ298vR2u4fY0fBn1eQo/9WNgapSdrf2/ZPwZn7OwJvZiztP3LMnrA1XM1yhiz/SGz20Dnz59GmwhX+u006MPAh2Qx5GjjadGgqE3DYPWBZBOfL9ABbTwZlonGAL6j4pJQfUNFcDliGo14VAQ4pXXvwPb12bWofI1U/ngsroKavqQXJQOWi1EQji8Zhk7J5DMWU8YF5iN3MwqjSsC8vQZs7UCL/iEugMcDH6GJuYJ9b1UCTnOEzly1DfO/TqABC7n64M1J0Iqgr/S1DtCXCgL0zBiO2XMWsEGkKtyeTRZcwPwUX7SQbqnWak5mRUCmXUEtgTgSFDsjww2V2rljZPP/73/LNOgsHiD2+2/YL7wIf/5m9OeTamuwGQB0Xp07im5vBU6SVlVPRRXhlL4AzSxKsi0Zc8eoxs2Szyzfpz8XDbnRmXZw+UCvnYBlZkKey6oreBz7g7bRv0tN9G8k62vQOAIUAKxun5SiDvRTp07BxcVFYlFgYCA8PLJvQ0e9P2nSJMlYap6TE0m67NmzJw4ePCh579u3bxIneXZXnTp18PDhQ5iYmCAhIUEBNtmhf2OAdaCz+yNPDKj7ZpUnsEqevDniNfxOPqWl2lYshoOjmxAtIhGwtBrwS+rA0nEh0Gh05pjAmkASyVL1SB+Do6Km0ONxEDVXt/qWKHlp1CLu0J0PmHwgMyNuo95StOWRYArYjQCcFqsFR5ZKLvoD4UR/iLABRmdMxAPvdjA2YjM+Vbkw1D1h/K3WMOakEDVDQoCKUvcGVQJQtmyhAGK/kuCAHKZ3SFuAlR4DYFGqsLK16YS8zcvnwO076RP60bguSk/U7shQ0QV/cK+QexIVSV/V/TCql2b3UE42/c4VMzHgGykLGFfUFmYeUoc0ORGiwWPEx8eDc3c7bcEuQWvYjNkKazNjDbZKtdDPhhxBuxuDaSW/OAVR0DtOtUoZLD1qtyesXmT2g6OuCL0maDorhMGI8wfa/VfxqLtDro3UuLtACd07yI+7dQxmp0hG7CdxURjPfsVWvshma55cNAAuv4/T78ZU6AHzoZvzZyOrU2sWlZou9IpGW+vS6kSh8brmLFkOv2TSmuW3gQmMZrzUeLsoA4TbOoL3Jpy2xS+jPwZOCkDFEgW1wj6mGUFlZFIZwSd4nrIV4bpuAOr0YRpcQK5cd2BGd/yvKUu2AAAgAElEQVS2n4qZTrKlmpkHnEVEMXD33Td0W3sNW/QC0Ip3n5DSchbQnLRsU4it11eA7ZkON+pKERvAOm0zKpUsjLApLRQSxQ7WTAauvfyCvptuSMCXQBLuGP7nQ/hjDk8fcN0DVG0D9913cepRPG3oCIcqOnX/kPZJnThxAnXr1v3rolPl0fNyKepApzLOR4/OXL8DBw6gR48e2aqnHOSUo5y6qHlURvqfi+qbfuPGDRQsWBDJyaTVVlbCKIc95YCnrtTUVBgYGOTFZHbufwywDnR2K+SJAV12oFOOMsqJ/ufqXNcMK/rYED4/3AY2yWWkj78HFK+SOSa4D/CcHN5tEDhjgaCf5K1LU1qgUkn2R1WeNqeKJy8Kjca6SzESLdcMxsKMk0g0dg0C6pByfiqG8v/ib24ETpMI67uiquiWPlfywF2Z3VcqXY4Zhx7A/2Fz8KSytzAqAtDk7K2AKkDKV5q3AenTMW74SNhVLq5SLrVV+LYlUzA4mfQJjS/RGGXGhWqruZl2XVsNnJ1F2xghtIbRsJOoX5HdQzlZ+N1LJ6Lfzy300A8lm6Hc2JM5maodY8IWAJdJm5RzwvowGrgfTS3YDL/sFvjM8b1of5f86P7OLYaiXqSPvHZsjJxbEX00AJb3SQ+4u9yaqOd1NecCdGTkrahXaLBP6rcMZbeW9CFWdAl/vLqDIjta0dOEYg4+TXgPs+Js4FdWXIbO7wnHdFIp5GWVgag6kJSgVZR/jRn/7S2worYM3JNOt+BiV01jTGACUJ95vvDJIOW1k4tURaFJUsHpTACZWwz7+gNRJ+jZywXd4DBiGepVKJZbiey8vzDwPSUddeeew0ODYSgiHdA+6ARQ2YF53J3wAO5spXHtFrTG3dreWNqrDvOwsoj+j4HQx/EYtesuQvWnyQZsdFkH1O2bO8Z+xAHLZAMoGqWuQiLPBNF+juBSvUPZS6sZ2HTlFfxPZfbKbs29g836S//fXr4h0O8AFj0zpc+lqUG61hJW2ieVk01BBVnl5VLUgb548WJ4emYG04SEhMDR0TFb9dT7f7LOlyxZgsmTJ9Njra2t8fTpU5QqVQofP378qwm9e/fG/v37JWO+fPmCEiVK5MVkdu5/DLAOdHYr5IkBXXagj9p5B6FPyI1rTAtzeDpKZW3IZQGjZHVgrFSZXrn3w4W1MDAjs1TglsG2aGVZKk9rw05WLQPDd9zGuaefUAw/cM9wlKyyMZGAaT5GDUedBPZlBmNQF9WPr2naShwa3Zh1WKl2W2DK7qtY8oKU2pGom/AAKFZJxZpVKH5NI+Bz5gM8dU1MH40O/TzQjs2uyRXpOxa5Y+Bv0mIhrlQrmI0+kitZGjOJailBtZb473ooqozEfmfRorqpxpiQn0D3BoxGn5RgGsL70u1QfhQplZuf2NSiW66U4X1RFbztdhKd65ZVi3pNVBJyeBs6PCTlcL/wTFFyzgtNNEUpmF+e34yqEZkl8ajrBcrDwuexUmRrk5Br9x6hybGmsiZ5vgYK6F6wk+hnArhLLWS4iO57E5bVZNvaaNP658WW8/4d0UZAsmxjqo+AuWs+VuPKizGKzE1JBAIqy8w41OIcurewU0SKzo+d7zMJM0EqFvwwtUWRMVpSaef4OODuDnqNdwjawqzvGrSpwZ71qGLjv/j0E10Cz+CJoZuseKZWU7m0CLg0n8Z6TlgPu6sswrYh7D1EFftD2TK3X3sD7+OP8chgGApzfhPxeQnYoBx8882ADFLR0DV9Fq6LrBE5ozVKG7Nt9JS9jkyTN2n/fRy+GyuBNZW/F+58UuFHBqteAZyvvx7DLvHply1LF0aoBwODhVREMtMd6FTfcqp/OXVduHABrVqR4Fx5Si5evIjWrTOTMKl5s2fPpoeYm5tL+qKXL18e7969+yubAwcOxM6dOyVj3r9/j7xm3ato6TROLOtA17glYxZgXXagd1odgYcfkugF+b9eI+ubAlRZtz9Xk/FAOz/y/5MjwAFSXvOz2BgN0tZJ3p/tbIVhzf7LVGfWkrNo/mOg1ZJLePXlF5pyH2GX/gLCCxUJOCMW4JGHGLWT9uEOsIl8MaeLeaiWtgNBA2xZp6eKF2Py5hAsfS9XHk7TD5+3dwRek0PReRl9YdFlJno1KK9iNrVTfPB8N/RNz+xfRF2x5V1Q1k3L+4TKBfW8FZniUY/LcKltpp2LrGSrDi4YjB5pJMjiXfnOqOBGDmOVrI554p6FAHvIfTVeXBxn2l3EYHtZpwXzgOcfopD9QejwdCoN4CO/LErPJm2H8g9Z/mh+d+MYKoTIluM28X7DZvHILUf4jZtwCGkr++qsj4CeUf4sXH5qFYkgmFsSfAhpFHfbH0G9xtkffOUn3PzWfXluOzQXZZYbpa5XNSegSo+5+Q1L9fqFAsBPNrNnn91B9HaS+xypHonGaqCywQLnDMMkPnk2/lGxLYoMIf9rrHEUcLmkiVBhA/zovBW9bNnfUapYV6r08ZzNh3HBgDwDSfTMjAf0C6hCZd5k3tkOnBhPy6CCjGeZrMaJcXLBbHnTws5WEQMLQ6IRfPkhHhoOl9Uw/j5QPA+/U+TOkmdmuCFY2BoHRzWGbSXdC2pU0fIxVmyHFVcQFZ/Z13yPnj8a87L/DSfQK4TuyZ54IK4qGV9An4cnvu3B4ehGpQKml3BnM9AZ+zFTGBjrQFeYMnaCNAO67ECv73cOX3+l03QE9yqLJrxnwNurwNtrwFe5TB/5PshfXgKr68tsKNvUdfgCY/RtWAHzu9ZiNxtDGUgTCFHD6wyEIjFG8Y5jut5egrSsLTA8nyPmk2KBwBoy7NmkrodnN3u42lVgKKvaAWvSmv1Y9lnuB9ScLwBPg3vPH3QDHpNDrPUCF3DazsXI5rrXE1UZu3S/X1/0Emb2JKKu2Co9UXbgJmWIZq4MuV5u38UFEeIcyd6PcrhiR/z7oKuAtHx5Z+6KCgPW53C2FgyLuwcEkZ5/AjEXq+yvYWK7fKz0wnBaTwWvgvNzErUeq18ZZWdK9WZkOH5lw0uIvgbTvR1osVRgYer0jyhipK9sVRotL+zKJbS80FnWBu/vgI4cwskvXoKvOUzFX+iXI+1Wo5HTAI1eY1WBv+bTHE1A7jFv6s9ApY7TVaWOUXLTfEvBQJxKY9pTazNcu2ff45JR4BkAJjlNgH1+/eHGJ885v6x6o2DvIAagUwIEudZqd0QWuNV6H0axv6OUQO7/izh2Pxb79+/EbukEB6NiwDSGtrF5fgYI7kUb8klcFN2MtuLqdDZYSyUbRMlCqaqU76NuIdRA+vuOA8z+BPDz0Hd4/yDg6VEabZDAGfMF/bDK1QYd67AB6EpeRkaJSxeIYO0digyhGDwIJdUNCnDSCMYSFv/na0gSF4Br+mw8FWdWvbw5qzVMC+tGpQJ1+6QULeHO9kBn1McrT2BYB3qe6GMnq/tmxRTGUzOEsJyT2bPWmRsJT/5eVOQmZA/PsCgwNUY2K1kkBBaUkynNQ/UWviKqjebVTLB9KFu2iSnrLY/j2cefaL88MyN3ld5KdORFkiG2QwGXwPyFLswA/EwAkP4ujmkL0bFdW7i3zIxMZC/VMDA5cDOWJpEysQKuIfhen1SjTF1SQ2cAkWtpbYeEzfDSfgmmSbesUBcWLdBzxLcbuopJkE1c9UEwc12pBZb9xQSqGgsVSf/fRfWS3dLqNoY3Z+9HOVn4k3O7wEUURg99b+mG8n1Ir9CcyNDoMT/igWVSLXIALLQ+gek9dac8naLrd2rHEji/IlWP3hlWQ4XptxQVozXjkz++QKH1tjL2xI5+gbKl2DYS0qScP3caba660i+lwQAGPn/5faM1OyRrQ17MawiLjGj6zauWs2DfJ7OPIXvJMnDLuxEacEi7n3eN/FDBkWRVajNfSf5VYCz4Spu4u2og+vUfqs0mK9W2+KTfuLqkF3rwSLWrNNtRMHBZpFQ9+SaM6n9O9UH/73ovMsHORicw04kNAlTFmlC9g6ND12OJ3gYivlRNYPRVVajLu8z4B8AG8jxL/UaqKdyNp35OOpNBmncS809Ci8VhMP92RbZHdaHSwJRneQN1wQ+4soSWQZX2H54xBTOdLDHCgU1iyBu5zJ5NZZ5TGejUZc15g1MGM2UBT4oGTk4EnpOgM2rAE1FFOKdT7SA4OlWpQN0+KUUd6CdPnkTHjh0laxgYGAgPD49sNyD1/qRJmWfJp06dovuhU//36NEDhw4dkrz37ds3FC1aNFs5derUwcOHD2FiYoKEBN39HafsTzrrQFc2ozomT903K6bQG/M5Ga2XXkYZfEW4gQf0OKS8X5YYbd0AlywOuze2AmLv0FOo0sgbhS6oaloI5yc1Z4q5LA45Bk49jId78F3Jqxf1J6EK9yMZ0XEFUJ+U5s838hZbAL/Il+Wg9Gkwb9wFXh1lM9PzDZ+WKp66aDkW//amrUs1KAnDGTGabe2VZcAFX9qGy8LaCLVZgwXdamu2XfmE/qS3M1w4EbT2+NpjUKabVBuIfMKlUrXf3wPLa8qoWN0wDGM71FOpWm0RfsbHEe1xnTbnQ+1xKNfNX1vM+7cdQgFEfibgQkSPXVA+CDPcev97ro6OOLV1HpzfBtDWvzGqiUrTGHp4rIY1Ev1OAneRbAWeF67XYFHdWg3aNUfFmdOH0P4mcfz95BRGYe8PmmOAkpHeX+yMur/I9/X1sm5oPFyHgpcU4POhlw1qc1+R7ymHJSjXSq4ikwLyNGnolwW1UDKN9KPcVX4u+rtN0CQT8hUrFZj+bk0ntOVl/ramLlGLWeC20JJglfc3gc2kpH+aWA+zrM9jSa+6+cq7tipfcDoKeleXYoreAWKiRXug335mmpycACyxkMHWIHUNwnz7oJBBPrYEZCZbjEJFJVVZeYWiP/cs/PS2EWzlGgDDzucN6/09wNFRtIwYURm0Tl+KIfaV4N2RfXbNG7nMnn3ozgdMPvBAArI/7xz89bYSwMWrAOPvAYI0YI8rECNb+bR12mLEiMtiac866F6/HLMNVRI6dfukFHWgU33Lqf7l1DVy5EhQGenZXdT7QUGZ1XeoeZUrkzYQVB91qi86dV2/fh2NGjXKUoxAIJA413/9+gUHBwdcvnxZSUyzYlgHOrsH8sSAum9WeQKrxMlXXnzGgM030Z0bjqX6fymjql8IqNEZaD8PoEpHyV/HxwN3t9OvHhY2xaSMMTDU4yJqriMbdarENVOmqBXnXyDw/HMUQgoeGw6TFT08DCjLAKfQ+mbAx4c0tqkZI5Beqy9W9LFRJhWsLDkGZvj7Y4FgMf1qSuFKKDA58wFYY697u4Bj7jR8Krp1lcVWrB8g24JCY+1TM/BzXq3Rlnub1vqp/hSU6jhHzSjUrC71B7BQttfj8pqH4NGjjZqBaKa6MO+WaMkhB8vxttNQxkUuGl0zTcsx6l/zq6Jg+md6/KLifpg2XjeyG3NMktTAUxu94Ry7nH4lplB9mE+5mBtR2jFHLEaGbwnoSfWzfuR0FLXsWmqHfUqyIvToTjjeH0tLS+SVRPE5Gh4EmAduIlcPQaMvh2kJt4q5oMGE3XmQqJ1TBUIRYnxroTqXBFt8bLsWpe37aafBclbFL2mCMslP6Fd3m05BvzFa/lynxJW9/SYR4i3t0YD7nEh1WgLYaUkAxre3wArZoGP38kexxo39/lHiNqJFTdp3H7aPfNGXL/XMU38I0JE8E6lCb65likQQ+5UER0wSclzS/LF2ihsqlGBgz/ZcG6p9Ex/HJsFlVQSm8/dgFP8EMdC6K9BTyqGeG9PlAm+o1kNWadvQrmZZrOvPnsHkhlJNmeN/8ik2RbyWwF2qtxbdeSSQE7V7A93+a2+S8RsItAZSSAWckekTcUbUAONbW2BS22qaYnKecKrbJ6WoA10sFqNcuXKIi4uDpaUloqJItSZ5w62srBAdHY2yZcvi/fv3Mv6gs2fPon379pIpCxcuxLRp07LkLTIyEo0bN5a8N2PGDMyfT1UlYC9lMMA60JXBog7LUPfNiilU7735DtMPP8IU/j6M5R8jsPQLA5UdgIpNMv9K15Yt2y5vwI0gIGQq/WqUqAI6pC+U/H9ndhuUKJSHvjlMIUsLcYzbcw8nHsShAScaBwzmEgu5fGBGLKDHgH4zu3sBL87Q2JZk9MSDKsOx062hFq4Ic0ya4zMdflhHA/pVohYKjpN66GUO1JwjeX4WCO5Jj6d6s00ouxd7R2Q+mLFXzhmgDpmv+TjAgfeInvSliRdKtpuccyGaOFIshsi3uEwGcWCVzZg4kO0R+q/lpH50XfOyhz2PHM5/svdFqbbZl//6l0xNfP9bYGMUS3pKQ19uNBYe0+ZpoilqwXx6/TQ4fSQBni+KNIbFpMzWQ7p6ffWpiBL4Tpt/p9km1G9Nvtt0lRdpu08fCILTE/K75CO/LErPJp87XeMoYssMNH1HWtg8KmCHWp7ndI2Gf9qbki7AZ38rmXZmn122wcS26z/nasOADyvaody3G7Qpu4xHoP9EEkyrDTaq0oaw6ASUDW6BatxYoqb7ZqCWljwjZqQC80rJUOhebD3WTCDtMlTJr67JHrD5Boa88UQr3n1iesvZQHPy3cY0TsRLrcD5GUfDGpo+BWNHjUW9Clkk4DANvA7jOXLvAybue4CVeqvQiUcqhaHJOKBdHiuFpSQCAST7lKLZIS0QxctVx1F3ex1mXftN77cpEldfZjrFw/QnojJXqh2kfHDZNhfgTWa5d+panNELa4Rd0KWuGZbrSOKUun1SijrQqXUZM2YM1q3LPCPOLntc2vFNjV+zZo3MZk9PT4epqSmSkpJAOdqfPHmSZcLlqFGjsGFDZguTmzdvokGDBtr/oVGThawDXU1Ea6sadd+smMLj0rPPsOriS6zWWwEXHvnBjMZjM7PNc3q9vQZs7UCPpiILrdO2IgN8HHO3R53y2fe1yKkKdpzyGaB60lC9aQbzQuGjt4MoYFJ/LbnqBjsFbbDHxAOnJzRTPiGsRAkDlKPLf854zOGTPZFs1gSFRsj2J9I4uuLuAUEtaNgCMRcdix5ByETymsbZlE+Ak9MEiJrXWCbL5lurRSjmQEq05RM0lav97V8BRoIkWk+g2VJMHCFXwUPlKDRPAVUe8KmfHepxX9Lgv7ZajBIOIzTPmDwg/hrUBSXiSB/49dw+GOUl1d8yD7K1cWrI6ono8GULbdqzYs1RfcJxbTQ1xza98auFSkJSZvmGzSI07Kz9994cE0T129u9As4vvOgpH/SroNzMe4qI0KqxEQeWo+kT0pbnDb8KKs3WXT6yW9zEX+kQBFjAlEMCVL73OICiNdtp1X7IzpgPG3qgXDwJrNht6Ip+0/9SoU4nWMm5kcfux6LxkSYy+wf9DwFVtadKUca88tDL+EGT4mEwF8tnsGX+c75Lcj7ScXk4AhPdYcUl3/fovBawYXBFjKCWQBypNDUjww2t+k1D2xqygRc5Z4EdqQ4GFoVGY92lGBzS90Z97guiskMA0HBk3iEsrAikku/VwemeiCrUEDdmas+9Me8kaZcE6jyxvv95UM9VxfEDdw3lfqeMDAfK1CFGn54K3PwvIx3AMWETTMgYC5sKRXFkjG4EWqjbJ5UbB/rz589hbW0Nqry6ra0twsPDYWRkRK/j79+/JeXWb9++DT6fj6dPn8LCQra1BzVYuox7QEAApk6VDQyjnPOUHEpP8+bNcenSJe36gOSzNawDPZ8XQNPVq/tmxRS+Ju2/j8N3Y3FafwZqcN8SWM7LgAZuOYeZmgQslO3J2CFtAaLEFbG2Xz041SqTc1nsSLUwIBSJUcMrFGkCERbz16MnP5zordMX6Eqyj9UCKDslYfOBy4vod88K62OO0Uz2gVuFi0I5utb4jMBkvYO0ll9VHFFw4D4ValWD6KQPmeWhpK72ettwZpZuZBYpk+EvyWn4FNAA1lLfGz87rEbhhgOUqYaRspIW1YTx7/c0thUlvDBhnJZn3ithJZJSMhC3sJ7MQWBSh7Uwbsjgg0Al2C0vInHPKBR/tod+ebewDfrOPci2usmG65CV7uiQuIt+N7pEW1iOI99NKlgixouMmt8UVumk+kdkNU806juL8bjVCfDUtoVwfrOAVvnWqAYqTpPKqlInGAboun72ABpfI4Fe3zjGKOYt5ZRhAEYmQIhP+o2Cy6qgCCeFPP/2P4WCVZsyAZ7KMcRtHwqz14doPXu4LnD1Ykv955T4ndffoFdofRhwBGTK8ItAWe0pU/w7sD6MkkggpKd4PAJ8M3uZspdyGajvdw7nBYNRjJNMBA84CpgzuGQ+1cv42Wka73JBN5Tp7IveDWTPCZXLFCstrwy4bbuFC9EJuG4wFmU4iURcnz2ApVNexQMbWwOxpO2bT8ZAbBc54rl/B+jxuHmXz0pgHAOffqSi4fzMvuatuXewWX8pwahXEJj+TrbC7a1NwClynvJUVBFO6QtQoqA+7sxpyzj7VAFI1T6piIgIvHxJvr+/fPlCO67t7e0xbJhsQsjgwYOzNJMqp06VXqcuGxsbSQl2qjd6TEwMFi1ahHv3MgN0/1Z2/efPnxIHPOWQp64RI0agT58+Emd8WFiYpFx7cnKy5P9r166hbt26qqBcZ2WyDnSdXXrlGK7qm5VyUCpfSu8N13Hj9Vc8MRiKgpw0omDgcaBKc8UUBtYCkshhzMT00TgiaoZZTlYY7lBFMVnsaJUz8O5rChwWZ2bBhehPl41udlwENGJINtPtLcDJiTQf90VV0FM4T/LAzeFwVM6TLir4mpyGgwuHYCT/FG3+7xq9YNRro2bTIUgD/E1lbHAWLMYpf93KgFXGIn74loK0wHow58aTPdJ1K4zqdFOGeEbL+BrYBCWSSBnylYU8MH6KL6MxMwEc9UP695LaqCRVvu1X1x0oWKczE+CpDcOPkLkocoMcIpwT1kfDWWdQxFBPbRg0SdGZwOFon7Sfhhxl6gyrMcGaZILSsd5b7AybX6SlSmT5YWjkJnUwpXSNmifw1CZvOH8gfWJfFbRBlam6m71w7/ZV2JyUOwSf/Rng62ve4qoQ8esvv1B2VXnoc0gP3wy3S9Arb6NCrcwRnXBgIkyfkIofh0Qt0M33KPt7K4dLtOH8I4yMkAu2GH8PKK495yApG51QIPYqzYh/Rj9M9V0FAz4vhyyxw3LCQIZQhNqzjyLKYIjscPdbgAmD+wFTZzbU2c1/V7CgFb61Xgz3llVzYjY7Jp8YaBZwEfGJP/HcYBC4HDFBMfIKUKZ23lEdHgk83EvL2S5oC2/BEFyb3gpmRUn2at4VsRKYwgDV0mTItlsSOP/XLrZSM2DwSVmobyKAbc70a2liPVilbYUIXDzyaYfCOvA7WdU+Kcohvn379hxvEaqKQFaXSCTC8OHDsWULudfLj3Nzc0NQUBC43OwDZChnvpOTE168kKp6ISWoSJEi2L17N1xcXHKMmR2YMwZYB3rOeGJHZcOAqm9WTCWeelhKS4zDTUN3WYgTnwDG5RSDLRdxGiRwxnxBPwxqXBG+nWsqJosdrXIGLkZ/wtBtt2GAdDw2cIOe1GERhoQAFZuoHEOOFDwLAfb0oYfGiYujSdpqPPRpxzocckSg4oPeJ6bgyrK+6MsnZYYz6g+DXkfNP6AXLqgAXhopv+2aPgtbfCbDSJ89+FFkp7xMSEaBNbVgJhWlLnTdD1719oqI0cixn9c6wiSBZDKuNxiCUTOIo0YjjVID6Ldff8FwZQ2UkiqNm+56EPrVdSOq/A/F6ZGboR86iWacCgorNiECFUsUVMMqaJ6Kc0sHoe3PozTwp2W6osbIbZpniBIRR67oj0bfTtASb5l0QwP3rUrUoPmiTq+bBqdPpPT0iyJNYDFJw9vQ5GFZnr1+i+rbZQ/BhRMegVeMzQqUpjU67hssgyrJMC12vwmOSfU8sK85U7+f9kXRm8towGeEtmg25wwK6PM1x4h8RLrm6GW43+8ki8DzNVCgeD6iUq7qtH1DYRBFqhRQ5z0dp25GGWPWCaZMpqmg094LduGSgVyFqxmxgEEhZapSrqzLAUAYaQN5XmiDa3Zr4dWxhnL1sNKUxkBKugA1vM6gHCcBEQYeqrl/ye2LcGEtDMyYgUOjm6B+xWJKs4UVxBwG1oS9xOIzzySAgvX80YT3lIBrOhFo4yML9tcXYLG5zGvN05bhrbg0To5rippljZljnIqQqNonpSwH+h/zT58+LXGSU7ipbPaSJUtK+pSPHDkSHTqQ9r5/o+vXr1+SHukHDhyQZMdT/dHLly8vcaxPmDABFStWVBHbui2WdaDr9vrn2XpV36zyDFAFAqgS3tVnh8AWT7BX359o4BsBM+OAv0QLZQnnoj8Qvph+64qwJgZkzEQbK1NsGtRABRawIvPCQFB4DOafjkYtziucMJgtK2rGB8CgcF7EK29uFn2rLdJ24OKUVqhcknU4KI9oIin64w+8WNMTHXmR9IviplPAaTNHFerUKlO4sj54iaR00bj0sZg5bTbYgx/FluFxbBLKBVmhKOcXmTj4NFBJ+3tUJWzpA9N3xBGzhdsdQ72yj8BVjFntHf3s40+UWVdNpjSueEgIOEwJ1lIX9XJBYfHi4oh3u4t6FdgDpKyW4OLiPmj1i3zenpR3hbWbbvfkvbp+LOw/7qTpulekFWwmHVHXDtYIPSGrxqPDV5Jl8ax4S1QfTwIxNMIIJYL8lPQbRZeVhwEng5b6ve9pFK2m/d/ZitD48FUsau+Qc/R4PAKK6kagwe+rG2B0zpOm7I7IAqUmhqNcsQKK0KizY1cGH8H456TkqQgccL2+AlztCdIVh84CJ3I1vcZHhPaoNnoPrM2037mhzo1N/c6at2YD9ugTZ7TY0Bgcquwxk6+7O4Dj42iEj0SVsLnGNizvoxtVPJi8NNlhe/jhOzqtvoqGnCjsM5Bqx6BfCKDOBJVR8fHxIeDgUBrCe5EJmqWvwOq+Nrgu8mQAACAASURBVHCpbaaJtLGY/8HA2OC7OPkwHjwI8dBgmGy12+xaAwSYAylfaMnD0yfhnMhWZ1rC6qJPiv0g5Q8DrAM9f3jXGq26eLP6mJSKRgsuoA/vIhbqbSJraWoNjLmm+No+OQocGETP+ywuggZp62FZujBCPRwUl8fOUCkDngcfYP/tD/+//sXNgfF3VapbIeE/PwJLZTM/bFPXYcNoR9SvqD0R/QpxouLBd94m4semLmjJe0A0tfEFmspFJasYhyrEi7d0AOcdub/5ZgxAT/f5qGFWRBXqtFYmtUdqbqkmcxiP4WFA2Xpaa/Mfwz4Hj4LJc9LDOljcHn19SYlprScglwY+eP8dVpuqyJTGxchwoEydXErU0GlZBIVd7v0UrWuU0VCDVAv70sJuaJGa2UOPup5UGgTrwStVq5Th0sO3ecPhDal68dSoHmpMIxVjGA5fLfDOLB+J9t9JudAokw6wcif/qwUEg5SkC0T4OLcaKnA/06ji2gfBrHFvBqHMfyh3njxD/QN2skCmvAQKmeQ/ODUgED85Co7Ub/m3IlP8GHEbtcqxztGc0L9i8xZMeE/ajv3mFYHRnPc5mao5Y66tAs6SwPurQmuIBh5DMwvd+Iyoa6Go8scndizFMn2pgEHTGsAYUgFLXVgU0vP8LBDck56SIC6KyRX2Y6dbQ4XEsIPVx8DBOx8w5cADdOVeQaD+OqLYxBJwv6EcIPEPgA3kPFgk5kjKc091roNhzbSnxYVyyNIOKa2WXMKrL79Qg/MGpw1m5uy5aqsz8Ja0qArI6I21ws6Y5miJ0S1ks9O1gyVZK3TRJ6WN66gJNrEOdE1YJQZj1MWbFeUA6b7uOmbwd8v0OoZVR6D3LsVX62sMsErWedIgdS1SDUrika/2l/VVnLD8ndFt7VXcffcd/vzN6M8nh9Ow7gr0ZFB5VJEQ8CsJiEU0Yc5p8zGhf3e0sy6dvyRqqfbw559htMsJDbjPiYXOy4AGbppv8f5BwFOShbZG0Ak2gwPRpGpJzbdNjRZcff4J9sFyPfjG3ABMLdWIIn9UJR6djuL3yQHDUWETdPQ9DR6Xkz+ANETrzZcfYbdLrgzu2NtASQsNsUBJMH/EA8tkPyfH215CJ3s2Oycrhq/M74hm6eH0W0+qDod1/yVKWgzNFHPlwHI0e+JNg3/NN0fl2QwKfGQArWzp//9fhLs+dqiHzHKa1PXazgeVnYizjwHLlu8QIu/dR6NjzWVxML1ksjJZe3sd2OpIS/wlNsCdfk/gUI11juaE5pVrlmH8Z196aJJhORhPf5KTqZoz5uF+4PBwGu8LUVk87XYOneuW1RwbNADp/lvv8eboXHjqSQXoVm0D9Cfl8xlpRvxDYEMzGppQzEGnYkdxyqMFI+GyoIAFp6OwIfwVxvKOYIreAUKJMvdb2k9ggWx70LZpAXCwb4Y5Lmx5f23bh1+T01Df/7zErP68c/DXk2ozVawyMOF+1iafnATc3ky/d1jYFJMyxsDVrjwWdJNtQ6RtnFH26KJPShvXURNsYh3omrBKDMaoizer4w/iMH7PPQTpLUU73h2yOln1JMnJ2lGOTurBKCOFHj0wfRrCRXXwwLsdjI30ciKFHaMGBsRiMWr7nsXPVAGO6HvBhktKWkv60VB7gEnXUkvgZzyNaEj6VLTvMhB97HSjpKK6lyL0cTwq7m8LK65U1kS3TUBtElGubkxK03d6KnAziBa3T9AChXuvh1MtNvtTEY4vPYxBi8Ny2eY6Uub0x7kAFLlKSiqGCeug3swL7HfcPzZQxJNXaHpAzkk88QlgLHugosg+1MixQgFEfibgggSFHbQNRg8XZ400R9Wgr81rjyYZpJ3IU8uxqNGHfP5UrZ+J8q+d2okmt8bS0BI4JjD1lnqOYyJoNWO6GNAbrVJCaa1Py7uiho6X/g/z64CWQlKB52X1EajqSlpvqXmJGKku4vpVND3jJIvNK1GrSnD/lfgsguFPutyCi61cwCQjVy//Qa1d5o0xP0h1kK9FrFFiUi6q+uW/KdkjeHUZ2EH6vH8XF8SRdlcxxL4yk1FrHDaqf3CRC9MwgJ/phJJc9QYCnVYx25bkz8CSqjIYnfU24tSsXszGrcPohmy9ibBnn7FSbxU68aQqHNgOBVwClcfMkmpA8idanlv6ZBhYO2Ntv/rK08FKYgQDoY8/YtSuTP/CUr116M67QnDV7g10I2dxMoBvBAEhU+mXqBYQHdPno4l5CQQPb8QI21QJQhd9Uqrkk5WdPQOsA53dHXliQBdvVusuxWBRaDTO6k9FNW4s4a/TaqDegNzxubE1EHubnjs/wxVBwo44Pb4ZWyI5d4yqZFbCj1TYzb8g6Unz2MANRpx0oqf/YaBqa5XozbXQoBYAVfb2v2t6xjCUbzMa7i1lf6DlWj47UYYBqpRXo+PNUY5DehDBdR9QnWSlaCxllxcDYf40/AtCG3x02Y5+DStqrEn5AfzczUdoe7qprOqpMUBB7c/kT72+EYZnptC2Uz1CS0+6grJFjfJjKTRGZ9idR2h5Qm7PeL4GCuheK44kv8owFibSa7e/+jL0ctWCCh8q2I03/FqhoZAEeUbVnAKrHnNUoElzRN4MD4XdRVJ6OxX6MPQhpbk1xxLVIQ1f0BkOaZdoBU+ruKHGwGWqU6gBkk8sGoiOv4/RSGPMOsF8xE4NQK4+iJcvn0PzsB60wnTwoe/zVX0A8ltTFlmCB+1PoEdbthVbTpYmaMEEjEgjVdwSTO1hOuZ0TqZqzpjPz4A1sm0Olje6Ag9H7c8OVOci+Rx/AvtbY9GWJ1VdpsUMoMV0dcJQXJdIBLGfCThiAT23S4Y/jviPBUcZvbQVR8TO+AcD9gsvIvb7b4TpT0RlLnFww2U5YDtEefxtbg+8JwGxVBu9+2VdcWSMvfJ0sJIYwYD/yafYFPFaguWi/iRU4X4kuJyWAHakiokM4NfhwPaO9Eu/xfqokbYFZkUL4ur0VoywTZUgdNEnpUo+WdnZM8A60NndkScGdPFmNefoY+yOfI0og8Ew4JCHXAwJBSo2zh2fx8cDd7fTcw8KHTAlYxSCBtRny23njlGVzIp89RV9giJhwfmAcwaesjqY6AQL7gM8D6FxBmZ0x89GU+DVkS35pIoNsjniNXqcawJjDqkmgSEhQMUmqlCnXpl3tgEnJtA6H4iqIKLlATYYQ8FVCLkSiQ4X5FpzzIwD9AsqKEnzhoseHQL30FAa+EuRGQRjbsCydBHNM0aNiM9djUTbc3J7ZtZHQE/3Ag/iFtnB7DcppXzQzBM9RsxS42pojqo7c5uivugRDTi67ixYdpF7btEcc5SC9MH9W6hztI2sLB39LGVH6NV5jrDPIJlUTy3dUaPPfKXwr6lCDq6Ygh7fNtLw3xZtiIoeZzXVHJXgvnj2GFpdG0jLTuYURCHvOJXoYqRQsRjpc0tBX5xGw9tTcxNce2hBBSo1EL597hAMEh2mNX2q4IxSQ4PVoFmNKn5/AxZVklEYYHUAnr3bqRGE9qty330Xo58NQU3uG2JsXpJc1EiZYIkV+MnkvkllGi+bPQPGBdhqlGpchhypSk4ToKb3GRRBMh4ajpCdM+IyYFY3R3JyNOjwCODhPnroVkF7BBUcieszGJa4kyNj2EF/Y6Dz6gg8+JCEYviBe4ajcr6vkhOAJbKt3ZqlBSIWpRDl5wgDPk+riddFn5RWLyiDjWMd6AxeHE2Apos3q6HbbuH5syeIMCDOJMlaTXkBFDLN3bJdXwOcmUnPvS2qhh7pPvDuWIMt7ZU7RlUy69j9WEzYex9duBFYrr+W6ChSFpj0VCU68yT0hAdwh/TOCRa0ws2aXljeh+0Zmydes5m8KCQKUyIbg8cRkxGjIoDStVShTr0yo08De11pnbHiEthmdxKznNlgDEUW4uT583CJ6C47xesbwOUqIkYzx768AOzqRmP/LDbG2yH3YVtJ9zKpFVnA0IsX4RjeVXaK93dABzNSXq90QeVEUs7uaNHB6OKxQhE6dWbsQ1871BaTYINnDeaiurPcc6vOsJFp6PPXb1Ftu2y2n8jjCbhFdawdwl/W/aZfS9gJSeZeVM2psOoxW8d2iqy5ezYthusHUoEnwbAyTKdn04dSR5k6f3Iv2tweSVv/jVsMxbykHFg6wEviPEsUzyBts4IrzUffwe46YHneTdzn3R29OaTkdoJlf5j2WZN3wUySIBZDMNcUfDGpXhdQbjU8h+WyeiGTbGMQll7rr2NdfE+U4PwkqJhYJTALzkRBLcGNI9+/MzPc4OYxF+YmhRjEMAuFYuDeu2/ouvYamnAfI1hfKsiQpw/MiAX4+sojKmw+cHkRLe+80AYjhZ545ucIPk8Hzg+UxySjJaWkC1DL5yyEIjFace9ii/4SglevADD9PcDjZ22DWAwEVAaoQK3/rqHpU3BRVA8XJjfX+nuILvqkGL2ZtRgc60DX4sVVh2m6eLNqHxgO089XsVN/IaFYvzAw433uD7SfnwGCSY+jr+LCqJ+2AcOaVsZsF9ZBpY69nBMdm668gv+pKMzm78QwPsnsRnUnwHVPTkSod8ylRcAl8lBPPXBvr7QIO90aqheHjmibuS8S86PkMkUnPACKyWYcaCQd728Bm0nmXpqYj1nWF7CklxIjrDWSGMVAHzt1HJ1vkcOyNI4BDLwTFBOiqaNj7wAbSRmxNLEervV9ipbVcxl4pqk8KIj7dMhxON0geyaVYwBDXdkzcly92DQUFh8O0a+GGjnBcRoDv3sVXGNVDH/qY4MaeEWLftF4ESzay2UzqEIxg2XGJiaj9IpyMkFuyUPCUKhiPQajVi+0u75NUE/8hFb6rN4cVO9EWm+oFw0ztO3Zuwuu0cQRmsIthAJeUi28mAEzX1GcPbwF7R5OpDF84pVBqTnR+YpJ3crjltjDLPkxrXaP6US4jvFRNwyN0ycQihDq4wgX3g0ae2K98SjeyU/jbPkX4J8LrVA4lWQYLy42B1Mn6Pb99V+cKfp+u8VncfaXXOWHMTcAU0tFRal//J6+wLNTtN4Vgm5oMmwpGrCBxupfi39o3H/rPTwPPcQo3nFM19tLRpvVA0aEKRfv/WDg6Gha5nNRWbRLX4zrM1qhjLHuVSNTLrnMkXb15Rf025T5PTiFvw9j+aR1ECo2BYaQe0OWqLc4Au9IBakFGa7YIOyIrYMboKWldp+16KJPijk7V7eQsA70fFrvu3fvIjQ0FFeuXMHjx4+RkJAAPT09mJmZoUmTJnBzc0OzZs1yjI6SFRQUhJs3b+Lz588wMTGBnZ0dRowYAUdH1fXf1cWbVS3vM+giOA0/PdKrC2XqAiMv53i9/m/gl5fA6voyL9dJDUJj66pYP0D29dwrYWfmlYH5p6MQFP4Ke/T80ZgnlXHefDrQckZexSt//p3twInxtNxHokqYVmI1Tk/I+b1F+aC0V+KEjSFYEdtH1kBt6VX87Q2woo6MbeMqHMOqoS20d0FVYNmRI3vR9QHJ0vrJLYLCXu9VoImBIr/GAKtkHVWnOt2Dc70qDATLHEgnju1Fx3tkz/zgGqOI1zvmAFQjkhf7ZsIiimSlRfAaoukctpRyVkvwwrsmLDjk3vLKYQWqtBqsxtVinqqfqRnIWFAJxTnJNLjPXffDpI5c4BvzoKsN0ROf+rDGS1rfi0YLYeFIDm7VBoRBivaFnEfvG3KVY2bGA/oFGIQyf6Gc2bcW7aPI76BYvUooO+tB/oJSs/Y3qzuj0pdLtNZDhfuj+2Qty6JWAaffU9LxeEELNOWRwJ0fDr4o0spDBdryV2TiCgcU/0Y+FysNR2H8dJJZmr/otEN7B+/tCOGQsw+JVVTmpqEGtIs6OQm4vZleiGBBSxTvsw6ONctox+JokRV/elWv0VsOZ95NYpmtG+CyTLmWvr0GbO1Ay6T6W1ulbcXhMfaoV6GYcnWx0vKNgcBzz7HiwguJ/t1682Av9Z2IphOBNv8IyJOrPPqnJaxPxxoYbF853+xSh2Jd9Empg1dWx/8zwDrQ82FXNG/eHOHh4f/UPGDAAGzatAn6+tmXgBGLxRg1apTEeZ7dRTnR169fD44Kyn3q2s0q6XcG6viehRd/B4byQwnlNbsDPbb8c02zHSDMAPxLAWIhPaRL2lwIzerjxLimuZfLzlQqAx577+Ho/Vg8NBiOItJ9rvsEA5bOStWlFGHPzwLBJAr7k7goOhtsQeRMtmeSUviVEzIyMBgbkuQOmud8AXha0LssPQWYL/sDflyJjVg1jlTOUAWn2ibzyN7N6Bo9iTYrkV8KxWc/1zYzs7bn11dgsayz/EjLC+ja3FY37M+llccPbEWnJ+Qg+SvfFCVmZ/7A1rUrJmQVzG+QctKPYY6aPqTcpa7x8Td7X3tXR2XOR3rIm9brUakZacOhi1yJRGK89rGCOZeUWf7Qeg3KNeuvi3RkafP/BV40X4EqLXU78OJoZDS6hMpVbhp/DyjOBn/92URndi5B+xiSMfzGwBKVZpCMYl34gL3aMgxV3h2gTT2p3wEuM6UyE3WBhFzY+O5rCpJWNEYtqZ7Vac4rYdBgUC6kMXvKl809UfI9CfrbyOmB4d7EYcps9MxHR5VAHuK9HPsMyL1IpFcI3FkaUjHk8mIgjLQLuSC0QbzzdvRvVJH55OsYwoFbbiL8+Wdc0Z+A8tzPxPpOq4F6Sm7LkBQLBMpWJG2Quha+/VrBqRYbXKEtW6/fpkhcffkVXIjw0GAYCnFSiWk5OWuOXA+ETqPnPBBVQed0fwyxrwTvjtbaQlOWduiaT0qrF5PhxrEO9HxYoKpVqyImJkaSbd6zZ09JpnmFChUgFApx/fp1LF26FLGxmQ96rq6uCA4OzhblrFmzMH9+ZolmGxsbeHp6wtzcXCI/ICAA9+7dk7xHjfP3Jw9kyjJb125WUfE/0GHFFWzVW4SWPKnI+ubTgJakh3mu+F1ZD0iMoadOTB+Ny0atcXdO21yJYycpn4G+GyPx/tVTXDEgZQolWiY+AYwZ2EMz/iGwgWSbC8UcWAt2IsrfRSUBNcpnXLMkDvFfh62C6TRoIc8QvDmfNMuIv6AV+JcBX5BCj/Awmo/l09j+joos8OFdq9Ht5Sx6yif9Cig185EiIjR3rFAA+JWQwb+/4UH06sB+x/1tUY/tXoPOL8jzxUf9CiitK3tGjpjYG4dRNmQI/Wq8uDhKesVAj+0BKMMUFVwb51MVZTlf6NffO25D+UZdNff+oSTk93zsYAPSG/61nS8qO2lfpmNu6XrrXQ0VOeS55W3bjahor9uBcmFRn2C3txYKctIIrUNCgIpNckuz1s07s9UP7d+Sfp0xBerA3PPfyQLaRMSbAzNR6QnJOL/EaYgW3myFlH+t8ePYJBhvqC/jhBL33g2Olcu/pmrc+4n7x6H40x007r3ClujlewRcLkfjbGEiYCoYY+lSP6zQX0vDE5WoBu64W0yE+/+Y7u4Ajo+jX38sqoSLzQ9ifGsLzcCvQygbL7iA1KQE3DOUa4006ipQuqZymRCJgHmlAGE6Lbdbmg+cnDpjWDM2kE+5ZOePtAyhCLV9zuJ3hhBWnLcIMZCrbDrlJVDI5O/gYsKAnV3oMb/EBqiZthmtLEtj8+AG+WOYmrTqmk9KTbSyarJggHWg58O2cHFxwcCBA9G9e3fweLz/Q/DlyxfY29vj+fPMrDQqWz2rcu4vX76ElZUVBAIBbG1tJeOMjEgflJSUFFDZ7rdv3wafz0d0dLTEua7MS9duVueffsKwHbcRpj8RlblSjrGuQUCd3nmjdncv4MUZWsZKQRcsE/TC07ntUUCfnzfZ7GylMNB22WVU/XIB6/RXEHlGxQHPV4AKKjzkGXTyZ2BJVRkxdqlrcN6nN4oYakFWdJ4JUp4AKrNt0JwA7NQjPeczjEygN42UQlWetvyR9HtJLRglk9LR07iTscjLK3/AaKjWw1sC0O3dPBp9rFE1lJ2mIQc7SuA81bc0DMW/aUl7a25Enx667Zz5F61Hty1GlzckAPKDYXWUmy5VLvBfArTo/W8vb6LYLhJwIRBz8W1yHEyKsD0ApZc54WcqOEssYML5Qb+c0HU/TNlS5Yjwa4OmQnLPfWk9HlV7al+v3dx87IUiMT77VkZpzjd6epzLLpjZdsyNOK2Z8+D9dxTe2BBVuKSig7j7FnBqyZV11xqLFTfkTNBMtI8jzuPnhe1QbfI5xQVp8IwPZ1ag3HXyTHxHXA31fG6yAcv/WNPrMV9hvcMaRTjk2RBaGqDy88x8FL5OSrZTGcY208+ieMHsq01q8EdC7dDvvE3EuaAZMj2pxeatwBlwRO1YcqXwxTlgdw966mexMVbXOw3fzkp2yOYKHDvpDwM/UjMkzk4H7gPs0JdqwcA3BGbEAjwVnNuusgW+kupjHuljULLJAMx2kc1MZ1dJMxm4//47uqy5KgHfj3ce8/SkKtsWqwRMyEFLnB/xwDJLGQLsU1fAyLQyzk9qrpnE5BC1rvmkckgLO0wFDLAOdBWQqgyRJ0+eRMeOmQcW48ePx4oVUg67/xS4u7tj7drMCEsqc71Ro0b/pzoyMhKNGzeWvD527FisWrVKGfBoGbp2s9px/Q3mHnuAaIPB4HNEhMthF4FyeexVHjoTiCSHDyeFjTA2YzzOTXSARanCSl03VljuGKDK9w/P2IWx/GNEQJWWwMCjuROo6lkiEcT+JuCIBLSmjmn+WDV5KCqVLKhq7TolP/FXOmbMm4cN+stpuwVFq4DvkVkFRBuuX+taoeCnO7QpPoIh8PYLZA8HFVjcwxt80S2e9EZ7W6guKk65rIAEzR76fZ4FimYk0EYEmy9G3wEjNNsoFaM/tnEuOscupbW8KVgHlabqVmbfH+MzvsdCb7nsYVHMoHswr8xmYEhvw4gXX1B7Vy2ZVjOiwSHgVmIzZs/O74526edpul5U7g+LQWyfYoqQ3+lCpM8rB2OpFkWfuh9BqVqtVHyXY7b494kp+BDYGo15T2mgqa38YOgg12eX2WaoFN3ZtZPQLoGUoo4q2hxWHsdVqpNpwj/f2A+TkOE0rLciU5ScFYWCBipwpjDN+DzgOfvoA9odkisvO/o6UEr7HEMZt7ZC7xSpePJQVBkFxkagqmmhPDDITv3DQOjjeHzaOw6D+FLBOzb9gc4a8h3/8RGwnrRuFIk5mFDtHFb10+7sUU3bwXfefkP3ddfgzjuKqXr7CfxydsAwFQWO7eoBvCSyl2X0QIy1O9b0radp9LF4s2Bg05VX8D8VJXlnqd46dOddIaNq9QK6b/w3b2IxsLAikJZEjx2c7olr3HqInuuo1ZVOdM0n9e/NwI5QFQOsA11VzOZRbnJyMgoXznSaOjs7g3KoS19Uecby5ctLSr1bWloiKirzhpvVRb3/7NkzlCtXDu/evVOqs0PXblYLTkfh7JWrCDOYLEv1tDeAUbG8rfqt/7F33XE1vX/8fe/tVrKJlFL2KEKys/fI3ntm7xVaChGyR/bee4dIZogIoYEIIRXSuOP3OvVznnv6hsa9t3vPOee/Os/zGe/nOec+5/l8nvdnK3CW1MZ9KjNHx5TF2D7MFs0rl8ydbL53rhFISpWiitOF/9L3N5oMtF6Qa/kqE7DCEkh4R4sfmTIdYx0mwMa8mMpUclHwi4/fsWXNAniJfWj3ZcY1IXRgT3A0cXdfGISfp/1bJemG4fM3oyDPZpDlKX9i3Wx0/byRbh9RuD7KTSXMI1kWpKUNPy2xgdEvwsqwx2QeBo6epaXeqMfskxsc0eUToaPk2pxhoCyVQOpuCBHk9L+DO56BtS0pVaKeUdFsLVtvRGLAJVvoC1KJoaP8gNK5TPTUbLezZN1prxHo/PMI3TasVAdUGLM/S33Z3iguMQX5lphAT2HexA64iGIV/5ugzXYsFP37mSzBJY/O6Cq6Rf87vtYYFO6icPKMS4Bk4uulNePQ+ute+s7T4m1hOVEhsMABfH6+CkD+vYR2nKJPjZ38GmbFDDjgfc5dPHXrCex9SdAwTdK0UKAQC2v7vrwI7COsSx/lRfF2aBDqluW/yXM+g0hP6qBLqXPD0UZEkr2hjDKLyjAuKzJ+fgG8mGyh44z2Yv1Y9pUzyAocmtpmf+BbOB57gk3iFWgruk/MrOsAdFiqGrPPzgDukSDqYUkTHCjtiKNj+cRY1QCuXqmjd92H7zOK3VYOf92pMBeSwwbosAyoS5Lz/mrZ1jZA1F26ycLU/tgs7YTbji1gXJi9bG1ci0mpd3by2hQR4APoGjofYmNjUbx4eq1Q6iT6qVPMLO6IiAiajt3BwQEbN5IN+YwuUfd9fNKDOlS/smXLKs1rrr2sJuwLws+Qc9iu60UwpCi8Z0fmHtMIf2CXPS0nUa6Hasnb4N61OgbVN8+9fF5CrhCgTqDYLb2Ke3pjUUJAMvvQYytQndBt5UqJKjpvbgG8Jx+S81KHo2n/2WhjWUoV2jgr82bYF9zcPhezxAcJBuVbANpCG5eFkUs9ORnihzvolvskLWA3bS+/OZgF7H43OblqErp820n3CCveHBUmaiiDRTb8ymrTaO/mMIkPopvvKjIOg6cszmp3TrY7vXoKOsdup31/VawZKk5SYEHhGCpf3SxQXE4opu813ATbNn05hsLf3Z19OBiLQ5pCKCCJBlBFXUYtRP3Y6unoHruFtvx10QawmHxBCz1Rvskf4xJRaiUzaPV9+A0ULFNd+cq0SCKVtL7NZSBGCEky+9dyXVB8MKllrEXuqMRUP+9haBF/jJYdYtQFVmO5hY/8SxgEa5lJSiFDQmFVloWBYCXOoiMXr6Hn7S5MifM+AmIWbvZHPwR8mtG+UmVoLvd8gnbVTZWIKHdFLfd9gdY3+qCGUGFfrvMqwGaodoAik0HmXgJCOWEOnJB/OdbOHKkd9nPESrfTT7H95mvc0psAE0Es8brrRqBmP9WgcGsN4Dufln1XVgVT8y3CLceWFqfqwwAAIABJREFUqtHHS1UbAtQa08bjMig2y3KCaPjpzWDqdggAjGtkzZ5TE4EgsvY6JGmKWRIHHBhdH/XLpceW2HhxLSbFxjHUFp/4ALqGjtTx48fRvXv3NOtmzpyJpUuZ2Wxnz54FVUudury9vTFlCqGDyugSdX/atPSTzVS/Dh06KM1rrr2suq2/idrv98FJvIdgqCy6nvj3gDeTrqxe0lp0a2qLOe2Z9UyUNoC8oCwjEPT2GxzWn8U9/fHMPhMeAIbMOuNZFqqOhgcGAKFk0486NWxkvwB965ZRh3bO6Djx8D2+H52EQTqEGha1BgFd1rIGA/nVRRD4kxNXvlIblHI4hhqmRVjjo6odObNiNDolkCSLV0YdUHEsd04/vt/QDaU/+dEw79Lvj8FzNqgadq2Wf9bbAR3jD9A+vCzZHpXGkb+12rkcGB/uYYPyEsJicMfSBfV7EfaeHIhkXZdRq49hc+wwpl9TnwKF+U36wz4L0SuafFO9N6iK0rPusG4O5MShtx8/o8xG5no2eVwQ9EoyT8TlRLa291nlPgWTpSSR6VuJuig6XkVUrVoI1rVl/dHsx1na8iel+6L6qE1a6EkuTE5KADzNGALu2vuhXm2e+eNvqB48dgx9HpPfqxSBHnRdFE7f5WJINK5rJjVqj7a4hh5Nammcqdpo0JyjjzH9cSfmQYcBR4CKrbXGnaSlVaCf+IG2d6pwNryd52qN/VwwdOCWuwgNC8d9/bFMd8fdBUqqaM/2+Wng4EBaX7S8GOxS1+GlR3uIhAIuwM5aH8NifqDVinTGyhGis3ASEzYfFDQGpj0HBFkc49vrgIvkffFQVgHdUhZgSY/q6GPL3r1frsWkWPswaIFjfABdAwdJJpOl1S0PDAxMs456IdSpU4dhKXXifOzY9B/tw4cPo2fPP5+APXLkCHr16pXWlupHnUjP6vXuHaF+zqzPo0eP6Frt169f/4+dv/vo6upCJBKl/SmVSpGSkvJXE/LlI1nHqampkEhIJmbGjkKhEHp6evS/KdmUjj9dOjo6EIvF9O2kpCRQmV9/uqi2VB/qqrvwMib+2sAIkkmseiG1I6ktT9lC2URdlN2U/X+6BAIB9PX1029T9aoXl4YgNZFu3jdlPopVa4blPazS/kdhSGH5+0pOTgY1X7Lq669fv/6KO1vGicKEwuZvV3bH6VpYHPbs24E9uuS0pFxsgKSpYYAgfbx/X5o0TmLfOdBRODV8QNIMn5p4YrSdRabwqPN5UsU40c8TkPbs/e3docxx2nH7LSpedUArEal5LmsyG8IW6YtYbX7v/R4n0cMd0PWdQ8+bIFkFxPY+iUbli6e9g3P03lPzOGU26dX53ju/ZCDa/zpNm/HcpBssBpEAcm5+n7TheYo9MAal35AT93sFnTDAJf1Dkf99IrNT8Xm64DUI7X4SFqLnxl1hMZiwDjHWERx4nkJX2sP6Fwl43jQbhdr93TP9PWP786To9G9fZTI5pru6wlu4kr6dolsE0inMDRh1vvdUuS7P7nvv4K516BNBNpe+io1hMI38bnPteVL8fnr+KhxV9zLraSaOC4agoFHaXOLi8/T7IVq81AOOiYR9LMGgDMQT07/TqYurz9Pv79x7qwegya8rNB6PzAajcv+laWXj8mpdrvb1nkAAuacZ9EH2OK7U34GGTdvxv08Z9l4U13tHD+/GwIiZNEZxOsVR0PEVK/aN/vP7JJNAz8sMQoUyNPtr7UW/LumHYrK1b8SB9V529/fG77kHnzftGc9b0vCrkJeo+p9nUHF/L7vrCFWOU+L6ZjCIIWuS+anDMWfuQkaQNONvMf/9lPn3k6rGidoPrvbzDnYoMJKm7QlOeQUI0/e7M1sz5WacBDFPob+dnDaXyQWomrwd1+e2h1Eh/X/uefH7e5q7X37owXu4nHmRNmf2iheikegpPYekNQcipe2yTNcQmc2xlGfnoXuIsLJ9l+dD9eQtGN3YAlNblk+LgfyOa2jSe4/yJTdxjfv376NJkyZpOFExNFtb2z9ixt/gEcgNAnwAPTfoqajv8uXLMWNGOnVHt27dcOwYoUT7rdLLywuzZqXXDT1//jzatcv84+z3/d+nzpctW4bp0zPU7/6LH9SHb1Yv6pR8pUqVMm1uZ2eHYsXS6ztR9PQBAQF/FdulC6HyCgsLw9On5IckY8eiRYvSL0zqHpVwEB0d/Uf55cuXh5VVekCaui5evAgqiP6ni0peKF26NJIlUlSefwF7xAvRWOGH7blxT7wsRajX27Rpg98JAFSNeuqF/qeL2lRo27YtffuXtw3yxZOTVY6pI3A7XwtMrZ6eEGBiYsL4QaCSFr59I1SmGfVYWlqiQgVymuTkyb/TvrJhnCgMqAWqr6/vX+dYdscpplBlhJxZiyViUn8oLl8Z+Ffx+I8eTRqnSh9PoeoHUu/zqtQaOwxnortF5gtJdT1PqhonxecpJCQE4eHhf5wHyhynk2+EmPFlHqoJ39D6frRcggJ2Y7T6vac4TsZx91A3kiQLvZGVxFbz5bAxlCO7z1NejVNmk0Gd773z7l3RXnqVNuNG/rb4WmkA/XdOf5+05Xkyf70PNb8RuuQT0kbo7HY2bWOI/30is1PxebqwsAfapRJmi4xzJuM6Qp3vvbx4nvQe+qDeN5KEckW3JX5YDsn0Pc/250nR6d/rParczNkVozFGh2D0vkB13K9IAhRUP3W+91S1Ls/Je2/n7m0YEj6Vhi4R+rhUK73MFXVx7Xn6veFE+X7q9EnYPxjMeJbO1tgIiSi9hjMXn6ffYExf6IXlqWS9nyzQwwVrH/pUEFefp9/fuUUerUFT+T167lwq2A2JFbpx7nmq4j8SJaVUHdP0a1uRySheNvMT6Fx+nhTXe2+f38bEJJJIGiU0Rf4JAVq/b/Sn36emjyagiDyBniM7y3phyJDRaX9nd9+I7es9xd+nrKwjVl55gS3fhjN/w6pvgEQn/3/WiL/393KyjlDlOCXt7gv98PO0vRRzoGHNbihAzv6A39/LdMmf9k9V70dUsqwJ6wW+mCQ6hmlisr/2JX9l3Kw0j2GYMsdJR/oLHR8zD8G1SF6GFeN6oaZZEWjKfrmmPU+UPZq+X74nTIh7n4UogEQ81HOAWEAOAr6yccMz2Z/L72ZcR1w7tQ/NgpjMCA2S1qBU8aIYWkmWdtiRimuwbZxevnxJx8b4APqf34/8ndwjwAfQc4+hUiX4+/ujVatWaRmoJUuWxOPHj2FklJ75r3i5u7vD2dk57V9XrlxBixYt/miHn58fWrZMz1ij+s2fT+qn/Mt4PoAO+ofmzdefaOp1DTf0JsFU8IWG7p7FeEQXrUf/nZuFW/yWbij8jtDb+kg6Yq2gP9zr8AH0rCY6qGpBECKwgPj6IkzSIacnPxSuhcByZCP29yRQZmA2s2c0Oxt1Zb5eR623pN7nU5k5nAstxOCKfABdmeNELX59EsagqOAHPWQJXXehUM30ZCBtTRxSfJ6K/XgBu1cLaf9+yvXgbLwFTYz5APqffkszJqRcXtAerWS36Ob+hewRV54wyLB9Q9Uk+jxsPxHK+tvSaqgw6xpKFNTjA+gKk+j3OoJixznn2gEdBWTO3CrcGZ/LpbMKURfXAn6CFydg934r7X+gyAYfakzO9BFk+/Ok6PTvjbrLzz4h3/5ujBMML4zsEWrCZKrKzjqC0qOJia05We/tOnoCg58wEy5OWW+DXJjONMW150kxQHH06EH0eJIeyPl9KWLDxefpNw7jlm7F+kRmqQjF5AKuPk+/A0klHq5AQzyi582Fwn2QXK4j554ns5uzUDb5OY3DnvzDULBSc/736S8J/Z9CLmN0KqnZ+lKnCgzHnWdtAL3W4/koI31L5ojRTAwcm743p8rALCVf0wNJig9KThL61568io2pZJ+TKgdwXiHRSVG+pgaSpKenQfSArHH3S5oj3nIYjNPz2NIuZQZmM3s5sWW9p4rnCSXKo9fG29gsXobWoiAavrASbfHUlCTEq2Kc2j0eBz0p2WcakjIbffsNQ/vqxnwAXWEiK3N/L7PnQ9nrvQVBInxNFqCdMBAbdQl7GES6eNDqKN7F/Pmw3H/W5RcuoEXgEIhl5HDg4JTZiMxXAzNqSPkAeqarMf6fPAJZR4APoGcdK5W3pE5ZUy9k6kQxRVlEBQybNm2aqV51nUDnKdxBU53cCv+CYZsD8FxvGIQCQvmeNPQy5EbkRHtuqIyll9wgurmCHvNL0toYlToDwfOaQVdHyFO4Z5FqXxWUNC5nXqJusCN6iG7Q4yOxGYHUViSg+PuGMqnBM3sBZIcqUhhxFXqH+9FiPssLYYrpIWwZWDPTdwtP8ZQziqdxu+5g+4euDEylY+9AZJROG8cGCndBbAT0Nzdk+LjK1g+jW1TjKdz/sELI+DzddG+FRlJySut51UmwsCd0wqynyH12AvlOp7MyUFekzAhJY++jqnEhnsJdYQ79XkdEx/1CyPKOaCN6QN+NtZ2OfC3IaWJOUeQKhbh7dCWavFxE4xEurgSTadczfQJZ/zwpeP3b13V+LzHIvwkKCUjJnuTuOyCryGSqys46glKjqaWVsrveO3kzGF0updP8/b6SxtyDvHB67WKuPU+KFLknzp9H17uE+lEKIVJmvadPWXPxefo9RxYcvQfnJ62Y82aEP+SGldP+x9Xn6TdF7otlrVBTGkLjE2w5B5U6TeHc8xS+rjuqJZDvxEslh6HxMFL6S3ECcfl5UqQyPrt+Bnp+30PWhcWboMy4E+ykcAcQ49MN5t9u0/4eKjwMvaemB01URTn9W1luKHIzW2Rp0ntPKBRhjrsbvHXW0qb+KlQWGEuwVvRBY6mMr3sBfoTtxE9aE6L++1HXoihtPk/hnumSP+2fudmHzUrpv8MPP2De8RDc1RsHI0EcbUhK5/WQVuvOMEzZ46S3qx2EH0ii2vzUYSjXfjKGNy7LU7grIK9J+7D/+n76lJCMZt4306xfqrMJvXXSa6GnXeWaI6XvoWyXptXd2R7CDyS5wz11IA6L7XFnll3aWpWncP/z+4O/wyPwLwT4APq/EFLT/cjISDRu3DiNepx66VN1zSn69j9d6qqB/i/3KTqlunXrpjVjO13G4ftR2Hz0LHz1ZjNhcXwP6BX4F1RZu/9oH3CC0K6Ey4zRMmU5rs5ohrKG/6WfyppQvpUyEBi+4x5GR0xEfSE5WYA2HkDDicoQrzoZn54CG5hBz85FTuD0lMxPRKjOEHZLHrliP7YkkMBgmrdzowFdFj23SQmAZ3qQ4fe1yvIwJvdqw+7BVaJ3gW6NUVf+hJYYVnseKtinl2PhxPX2LrCNzJckuRj3BjyDXaWSnHA/u05eexED4Z7uaCIic0beZiEEDSdkVxRr2t84uxuN7xH/vwiKw9AlgjX+5dYR952n4BQ5iClm2nOgkEluRbOi/6WnH2F3yAr6glTiz/CLQJn6rPAvN05s2LMfY8PIOiZJmA/6zh9zI5I1fdf6vcIA/2YMliEMOgGU59fS1CA/dbOFpfwlPd7PbBeiWkfu/U4Frx8K65jjNA4Bhe1hN3U3a54DVThyynMw7JNIiblI064oO3KnKlRphMzILUNQ9h1hszul1xn2jiSBQCOM1EIjvv1MwYZFkzBXTFiuks3soDfijHZ5E7QbOEXenRRzYGTPC+hUg1/DacJAup56inO3HiJQfzzTnAkPAENSNlMlth4eBjwlpV0pptIvDZ0wt0P6YQ3+0j4ETgdHY+L+hxBAhkC98SghiCdOtPME6jPp2LPk4YnxwCPym0KxWDhKRuHB/FYoXkAvSyK0rRGXYlLaNjZss5cPoGvAiFJBc+rkeURERFqm9o4dOzB4MLMGXUYzz5w5g86dO6f929vbG1OmTPmjJ9T9adPSaefOnj2L3/XQleE6l15Wqy6/wjO/vdik602gK1AKmPFCGVCmy4gKBLa2puWlykWokrwDO0c0ROOKhsrTw0vKNgKd1gRgw+dhMBN+Jn177QQsmaeOsy1Y1R0SY4GlzNo59mIfnJrXR9WaOSV/3ILlWC9bQJ5d3cIQzyUUfawAQy5H6gIjiOXJtDsrzddhyrCBrHBPHU48crVFTZBN5sgGi1C2bYaPcHUYklc64qKAlYSxhTLjTNsb6NSgel5ZpNF6N1+PgO3lnqgpDCd2dlwB2I7QaLtVaVzgzcuoe6kHrUICIXScvwJCoSrVao1sz6ULMCdxOW1vop4hDOaE0aeItcYRFRl6N+IrSu5ogLJCUqcYPbcBVmROqUi1xotdsWIhpiUspe38oVcSBRxfabzd6jBw3923qHW2A6oKo4i6rhuAmv3VoV7jdbx0rYFKeEPb+aKhNyq3YdYi1ngnlGDgw50zUSvSh5YUqN8IdeecU4Jk9orw9eiCNpJrtIMRFYeh3AAFGluWuf764CxYPN9Ee+UnbIAWzhdY5qX63Xn56TturhmBYToXaeXSGv0g6r5R/cbkRuOry8Besh6hmAPPtQ3AkIYWuZHK91USAv187iD/a19s0SXrbOgVAma/Uf13yGU34AZhKr0gtcWZqkuxtn9tJXnHi1E3As4nQ7Dr9htUF0TgtF6GMrsTg4Di5bNv0q01gC+RdV9WCT1TXHF4TAPYWhTLvjwt6MGlmJQWDAerTeQD6Hk8vF++fEmjaX/27FmaJWvXrsX48f/eTKeC7VTNC+pycHAAdSL9Txd138cn/WOO6le2LDOYlhsIuPSymnUkGMUerscc8QECmXljYNjZ3EDI7JtJsLNp8gqM694afWzLKE8PLynbCNT3uIiA1H4QC9Lr0addI/0AU5tsy1JrB7kcMveSEMpSaLU9Je447D4xLWGHv3KPgFQmh6PTLCwVk02zX8WqIt+kO7kXrmESEhZXQaHkD7RVq0u4YtL4qRpmpeaaE+pSHVUEJLHibbOVKNNsmOYarGzLpKmQuZeAEKQMylHb/ejRsYOyNbFC3qxDQXB52g75BSRpBf0PAZXassK/nDjxJDQU1Q/UY3ad8QoowLMYpEpl2O06AMNFJGDzzbQlio4kJ1Zygjmb+jz/kIBv69uioSj9u4u6ZK3dIWw0iU1uZtsXmUyOPW79MVhA5s5Xk+YoPpqclMy2UBZ1uPTsE8T7e6GZKJh41cIJaDKDRV7m3JU3rpVhDsJWENZ8Eyo0JeUAci5Zu3o+OroUNZ+Q0l5PRVVh6cS+bwFljkqAa3PYgdDNvraeDotuzspUoVGyoi54w+yOK23TfXll2Lje5b/JczlKN8O+IGFnX7QXkTJZsJsBtHTKpWQ1d/8YAmxsRNYncgFWN7yFKW2rqdkQXl1mCNTxuIRBSXsxWYcwjcDCDhiqBqaDBzuA05Npsyh2AhfjjTgylsk0yY+c9iDQflUAqO+SyaKjmCo+SgwvXgGYSMq3ZcujV5eAvT3pLglyA9RI3owlPWqwNp7ApZhUtuYC31jpCPABdKVDmnWB8fHxaNGiBYKC0j8aPD09MXt2BnrwP4iTy+UwNTVNo3yvUqUKnj9XoJXO0Kdq1aoIDQ1F6dKlERUVpdQFOpdeVgO33EWn14vQV4dkSaP2YMB+TdYHPSstl1gAv77RLYemzET1Zr0wvU16nT3+Uj8CVIC0ybzduKmXga5dSzbtJcstofP9HQ2cQ8pUeDnPQyF9sfrBZKHGz9+TsctzHKaLj9DeJZdtBb0hCgthlvj9xbsxDOMJnfT6AhMwbgbZLGSJmypxg/rdfu1SmXHyMbrtZpg06K0SfZoqNM6jPIpIvtDmHaq4DL0HjNJUc/PUrgmr9mPttwylIbTkd0dVwL35HA/TteYQCUgSRtIIf+ib1VSVSq2RS53AilvXEnWFhBkpqdFs6LeeqzU+qNrQD/G/cGtZT/QQkTrFSTajod/ZS9WqNVr+26+JiFnVFHWEhCHlR8PZKNCGnzvUwAVHxSF00xD0UfgGlNuOgqDjMo0eV3UZ99GlLEoJYml1ke12o2x9e3Wp1xg9IZd2wuomScaJQimYuSqRqU5jPFWeIQ+cbWGj8N5519ADpm00vDxaLtz/fOcASlxwoCW8lhmhxLxnyK+nkwupfNcTD9/D4nhnJmNTJ2+gjpYxYfz8AngxT50uqXoMs/u05Ac5jxGI/ZmC2u6XsF28BM0Vk+kaTgLauKveuohrwK4utJ4EeT6019+Lm4783FA9+MrXEP8rFTUX+EIuB07ozkdNoUI5svrjgXaLcqY07i2wksnsVzdpHbo1sYEjS+n+uRSTytmk4HspCwE+gK4sJLMpJzExEW3atMHNmzfTes6bNw8eHh7ZkjJu3Dhs2LAhrc/t27dRv/5/6/fduXMHDRo0SGtDtV+3bl22dPyrMZdeVs2XXYNnwmzUE4YSWFovABqRTMB/4ZWl+1taAe9I9uyC1EGIqzESK/rwm8NZwk8FjWK+J2HsovU4qudGS5eL9CGY/1EraFGlm1tB9J7MKafUoRgxdREsDFlUn1sF455VkVTm6MN1g9Ff5yrdRVZ7KIT2q7IqQmvafdrUFUYfiJ/bxP0wfJ6W0ePlEdpJqVJQweNSApIgFWO/DyVrd8wji/JG7XuvBij9k5z+PFxqGnqNcckbYzRYK5VwMddlLhYL19NWJhkYQ3+WwhpEg+1XlWkJSalIWlwBJQVxtIov9ntgWDu9rBGXr9OPotDyuA0MGIwFh4FKbbgMC8N36pS+j8sQjNc5Rf8/oVwHFBpM6qZyESzfJ1FocqQWoza8fMBRCCq24iIc//H5Y3wSDnqNYZw6S67QHnoDFVjJOIoUxV4Q72bKqA8f1eUIzGqRkmRcgSbsni8qnO1Fu/tDro/8rh+VeniBTVhS6+J37laoIIym3YppuwElG7C3NELiqwAY7O1E+5so18PXSZEwK85/k+dmblMlj+yvNIeRwtpQKxmbZDJI3UtAJJfQcHiWXoc5o/hyabmZH8roezv8K/ptvo37emNhKEggIntuB6y6K0PF32V8ew2ssma0qZPig0CP3hAKeVZJ1Q+AcjVcDY3BsB33YIh43NfPUOt88EmgXLOcKZTJgMWmQOpPuv+AFEfkq9wKW4bUyZlMDe/FpZiUhg8F683jA+h5MMQpKSlp9ct9fX3TtE+ePBkrV2a/1tPLly9haWkJiUSCOnXq4Pr168iXLx/t0a9fv9CkSRPcv38fOjo6aTTxFStWVKrHXHlZURvZlZ0u4IZoDGPTFn32AlXJR5BSwD0+BggmG3m7JK1xxnQ6Do1JT4TgL/Uj8DQ6HpvWLsFqXZKAIi9eAYKcUuuo2QX5wUEQPCebxWslXdBg1CrYmBdVsyXsVHf95WfIdvfIQO05H2gyk3UOf9ozGkZhB2m/DqAt+roeYp2fqnAoLjEFwiXmKCRIpMV/63MKRas2VYU6jZUZsa4byn32o+07WagfukzjkzAyDti7b4m4vHwIhuqkrxWpK6lCB+gP5Hagj1qPPXWpBSthJI3LO7ulMG1JTnRp7ORXsWE7TpzD0Ef9mFpmhAEFSqhYs3aJ93SbjjnyLbTRCcWtUWjide1yQsnW7jtxGv0fZdignxUJGLCzXmJ24ZNIZXB2noFF4q1018QS1jAYz+15k/a7lCoFPIwYyRcfe59HqWrco5X9EBEC412EfpnC58f0tyhQsHB2pxwn2lMJ6oJlFVFCIRgV3/MQCluxt0yN/GsEBGtqMcb3yaCnqF7elBNjrionPc88wax7dhAqsBNhzA2gFPMkpqr0K1PuD88qKJBEyqUtLeKCWVOmKVMFLyubCLz5+hNDtgUi5etb3NLPUPJn0iOgmPJKpP7RNKkEco+SEMhJOUn7ZHdscRyNkoX0s+kR3zyvEVh6IRTrr4Wjp8gfy8SbiDm6BYFZEYCObs5N9GkORJPSKK6pg3G9WA/4Tc9hUD7nlqilJ1diUmoBk1fyVwT4AHoeTJAePXrg2LH0eoQUhTsVPP9bLWJdXV1UqlQpU0sdHR3TqN+pq1atWmkU8FRt9PDwcCxZsgQPHz5Mu0e1W7QohzQgf8GIKy8riqK52cLTeKo/gonGuDtAyarKnUXXvQA/wkYQILXCnPzuuDmnhXL18NKyjMDVFzG4t2s+ZolJ4DAtK5DKDtSG69wsIJAszA5LmqBI/y1oXc1IG6zXeBuPBb2D5Ym2qCwkNPnouhGomSGQofGe/NvALyfnw/AhKVtxTloXbd18IeIzn/8JHnWCrdgKE+gKyIfv9yFXULAsO7OB/wTIq53jUTFyD337krgFWs9TqCX3TyS50YDKTC+8rz1qC8Noh+UtnCDga+4iwK0F7OSkNlxk9Sko24MwxHBjhvzXy+3rPDDsM6Eij9cthcJzefrgjEi5ei2D609Ct5mobwSDOYS6nIvzZ986F/T/TJK5v+qZorjjUy5C8Uefp7kvxgpp+jc3dSXlM4L+bG7PGwqHuJ9JKOLF/J74Otgfxctxjznte3wsCnozAynRQ+7ApKyS9wpY8mSGx3xHmXXmECusi1OGX4FuGRavi1N+AotMGCN4p4Mv6tetx5JRzRs33PZchEtYhpJYWpoEFruqCYp9C6aBXKk3BlMcl+QNsLxWPH4Xh2Hb7+HrzxS0FQZik67CwTf9IsDs12pjpJSvsoaAOon+/2tCykSMGjsD1mZF+JHSIgSoZPC2K6/j5acfWCdeiY6iQGJ91c5AH7JPkiO3jo8FgvfRXfdJWsBZNgrP3dtBLBLmSKQmd+JKTEqTx4ArtvEB9DwY6b8FyzMzx9zcHK9fkx9KxTYymQyjRo3Ctm3b/ujJiBEj4OPjA6FQ+S9LrrysTgVHY9OBYzirN4/GWQ4BBPM+AmIlZ/w9PQ4cHkrreSc3RNPUNXjh3g46LPzBy4NHMNsqD92LQurJyRigc4X0rTUI6LI227LypEPACuAKCS5cl1ZHdOd96Fu3TJ6Ywzalm/zD0c+vEQoJfhHXhpwGyjZhm6tIuLYWha6R9+BdWRUlilWNAAAgAElEQVRUmh2AovlzkSXLOpQyd+j1pzhYbDBn3EwZcwe6pbi1sRp+YiHKP1pK4xAoqI66LqQeMUemwz/d3Hw1FIOuNWac6sPAY0AFvtbduUW90SHlIo1hhEUflBvq809M2d7gmEc/dJecI+vHUq1gOuYo293Otn8uG/fC7eM4up8MQgidPgMi7tagPe/RHe0lZI37xqQjzEeTzbdsg8zCDpO9t2NV/BQybwSi9HkjFLHQ26y79OlrLIzWMIPGCaPvo5CJclnvsm5R3rWUy2RIdivJ+N0O63wMFWz43+3MRuVxxHvU2FWNeUtdpznzbpog0bUUDEC+Gf0b7EDTtt3y0CLtV+22bhtcPk+lHZEI9aDj9EltgU1lIvh1ay8UjyLsUz7ogdGuf97rVaZuXhYTAeoQzfi9QUhMSU9+n6lzgFECCOWaA4NPqA+2nfZApD+tb0lqX1j3c0M7q1Lqs4HXlGsEAl59xqCtgdCBBEF6Dsw9RPu1QO1BudNxYyVwmZTHC5RVRu8UF/hNb4pyJQrkTrYG9uZKTEoDoeecSXwAPQ+GXJkB9N/mnzt3Li1ITr08vnz5AkNDQ9ja2sLBwQHt27dXmZdceVl1W38Tpd+dx1pdcvIShcsAU58oH9uPT4CNjRlyKyftwOVZbWFWzED5+niJ/0Rgrd8rWF4dgeYikg2M5vOAprP+2VcjGjzaD5wYQ5vyXGYGv+YnML55BY0wT9uN8Dp1DzODMtQJnRgEFC+v7a79x/6U4MPQPT6S/n+4zBiCifdZuRhX9uC9fPMOlbZbMsTKp4RAUMRM2ao0Wl6U/y6YXZ1I2xghM4a563OexSDDqC3bdRQzIoYz/6ulp2mUPSGPLBuPnj9Idv6bEs1gPl5LGGGUDcb/5SWmSPDCox5qKTAWfLSdjVId56pIo/aKXXDAH86h9kwHpj4DCpfWXqdyYfmvFCneetRgsOi8r++K0u1IMCIX4lnTdcpWX6yMIvWt0xybFgoUMmaNjzlxJOpdFMy2WDG6Jk1+Dv2izFO2OZGtjX2iXSvABJ9p00Ps1sOq5QBtdEXlNt99GIx6JzMkG89+A+Rj92nKaA9LmEgIa9kVS0+07JWhBq7K0WeXgoVLFmLeL5Kc+yN/GRSYqYJ9OjXAFndkEoqE7KQ1HZA0Qw+346w8OaoGOHOs4vD9KMw59gRSmZyWsUu8GE1ECvOq8TSgFQlU5lhZVjuemgQEkbmxT9Icye29MayRGijks2oj3+6fCAzdHohrLz6jgfAp9usuZLaf/hIomEuW0BcXgP19aLlx8vyomeyDzYNtWclAypWY1D8nFt9A5QjwAXSVQ8xuBVx4WQW9/Ybu629hougYpouPkAFVVcZhJtRebZM94TaqN+qXK87uCaWh3jmfDMHAB71RSfieWKhNFN3hV4HdXWnbY+UFsM72Epw6Zcj611D8Nd0sz53HMCdyGNPMeZ+Uz06hCUBEBgA7O9GWJMgN8Gr4M9iYF9UE6zTahpAXL2C1vy7TRg4GRGOf+6PYQRK8SpTrIXHGWxgWVDKbi0bPhn8bt2aZEyb+WE03/J6vNArOfvbvjhxosX+9K/rFeNOefshfDcYzb3PA8z+7+ORNDCptqwY9QSrdKLnfMehV5k8+ZkRtxcVQjL/VCHoCCbk14jJgZsvJOfQk/B0sd1kxascmDbkI/bL1OYnHn5yee/QR3B63YNBNY5QfUNqG0zhFhL9Aud3MtY189hsIWB4E/dOgP3evi6pSUjrjYQ1n1Oo+ndNz5E/OB1z3g50fOXktgwBC51hABayJmjQAr5Y0QcVfJCn/cpkpaDWcL0OTmzFa7jYJ0+UksBhnVB9FxhKmotzIVnffn5eXIP8NUnrzqtQaljN9+TrXahyIjf7h8DwfmkGjHCH5xqCA/Dv5f+/dQLUMCZmqtDMDq+QNqSUCGmyFYwdusdmpEmJVyw6L+Y5WK66nqZmrsxejdc4SlcY1AQfCMJBjWyia/1XWjO71ktZiePuGcGjKvgM+XIhJ5Xgu8B2VigAfQFcqnNwTxoWX1cT9D3E6OBrLxevRQ6RAM2s7Eui4XDWDvqIakECCtWNSpqB1j1HoYWOqGn281L8iMHb3fSwL64D8gmTSbsgZoKyddiAX8xxYz9wInV7JF8v78/XWlDGAS9euxawvhNb8l7gI8s17owzRmifj8wtgHXOj9FqvJ2hmyZcD+NdgPQwOQq3jzZnN0sqA5PtXV1bdT/36GuI1zI+6F0OfoLIFP4d+D7RMJsch117oK7xEj/3nMh1QYvh+Vs2FnDqzZ+dGDIycTXePE5dEkXmvciqOFf0uXfFF64AMp2Opuoz5+OSmjAO8584b2J1rBXNhDLnVawdgyU0KXb8LR9HiDmG7kEAEnXnR7EwCzMXT7n3pJXrfaIfSgq9ESt99QJWOuZCq/V1DnwahyuEMaxunL4BIrP3O5cCD+55tUSfpDt0zqNwY1B7M1y/ODMor54+g5d0R9K0EQUEUciEns3MAv1Z0CVnVHVbfSMmMa4b90WzCBq2wXRONTJHIsNu1P0bonKfNi6/UA4X7ayftuSxoN4SnJtC+PJOZA2NuoJpJIU2En3U2hbyPR6c1/y0tNqIa4BTRn+nvlBBAnUxyIceAI+TQxltZCSyrehir+9Vi3Tiw1SHHY0+wP/BtmnuXdWeggjCauNp0NtBcCcxhcjngWQZITqBlD0uZiZK17bGkZw3WQcuFmBTrBk1LHeID6Fo6cJpiNttfVh/if6Hxkqtp1D3HdJ1RW4EaE+08gfoqotva0Ql4HUAP89LUPtBrPhOTW3GvnpwmzPUh6y5g52dCg5Nm0+RgoKiFJpj3bxt+fQOWMG2darwL3g5d/t2Xb/FPBLyXzMPUX2vpdnGFq6LIVLJ59k8B2tQgMRZYyqQJO9fyEjrYZThZrU0+qcnWe3euw/ZCZ1pb2kkbl29aWZ8vV5BJUgCPEgwRDzqcgU1dLUlIypXzWescFZuI2JWNYC2MoDv8sHNGgZb8KTYKkL3HTmDA4yE0NlIIIXL+yvpTa3+bPWe3L0bHN550kxgdE5Sc/zxrE45jrS49+4RCB+xRT6hwuqjtIqDBeI4hke7uJR9HtI5eT/v+Rq8SzB3vcRKLvzm97+5bVDnbjfkt2GEZUHcUp7EKCboBq1MkiUACIXRcv3EWkxsr+qNxAjlR9sioB2qO1c5AnqoH8dIRH7QOmUmr+ahjglIc+N166DMGtaJJQuStAq3RcIYCy6GqgWeZ/NdffuLpqq7oKAqkPUuqPwX67bT0VH/YZWBPD9qXL/JCCB34EI0rGrJs5DTTnW03IrHgDJPxa0JjY0z/uRKC5wrlogwMgZlh6v2Of/8A2NyCBk4iF2JgqdM4MJZZ/lMzkeWtiv2ZggaLryBZIoOZ4BMC9DKUShp5BTCtoxygtrUH3t6iZXml9kag2TAcHtNQOfI1SArbY1IaBDXnTeED6JyfArkDgO0vK4q6h6Lwoa6HeqNRVPCDANb/MFCpTe4A/FPv01OAB9vpu4clTXCvpgeW9mSe2lONcl5qRgSGe27BtiQSuJBDCIFTjPacrpDLIXE3go6MnKCfUdALy6aP5gdbCQj4uI3EaPlh8qFbuiUMRx1TgmQNFEHNJTdD6IBQ35603YMuHUlgWAOt1giTbvtfQIOrJBHnF/SRz/WTRtimbiNi3cxRTB5Hq71VfwMatsuQ1a9uozRIn19IFBoftoauQEpbJR98CoJyTTXIyrwz5eCVu+gTkGH9NeMVUKBk3hmVx5r9vPqhxc9ztBWhhm1QZQL5Xcpj8zRKfXBUHCJ9+qGriGwsyeuPh6AdoUzVKINVbMxdzw6ol3ST1vLYuCdqOGxVsVbtE3/l+Sek7BuA9iKF5AK76UBLZ+1zRokWB9/yhbUvYb/4CX3k5+jahoL16vpJaB5DqKRDCjeF1dRTSkScPaJ8dy9Bm3Dy3n2tVwUWjnfZ4+AfPHmwzwU2L1fSdx+Ja6HmvGus91tVDga8+oz8u9uxJ7np01NgAzPIdco+GPa1teTghqoGWk1y5x1/gr13008IU9fAKoDHr8XAJ4Xa59SNim2AAWpeZ2dykKGX3kYcduynJnR4NblBYM2VV1h+6WWaiCGii3ATk7UCqIQM6ltWWSVMzs0CAjfR5p6V1oWz7iw8cGqdGxc0si/bY1IaCTpHjeID6BwdeGW5zeaXVWKKBA0W+yH+VyoK4weC9TMEGycGAcVVVEPk1lrAl1BC35dVgneZNdg7kq9HqKy5m1U5crkc453dsV5E6PpTDIyhOytjXaSsSsybdoleVjD4GUUrd9SZgcXznfLGGBZplUhlOObaFb1FpF5RrOUQFOtFahezyN00V755lEdRyRfareNVlqNb35Fsc1Pp/ty8dBSNbhKa3DhBYRRxIR/oSleowQIjFtZBuVRCuR1QeT7s+pFTSBpsulpMO3z6NHo9GMjUNectoF9YLfo1XcmpoDfoeNIaIoGcmOoQABizj5Yuq2MR6lYTVeSRdPNn1WehWg+yjsyqHC60+xifhBNeIzFG5zTtbnLlLtDrt4sL7jN8pNa4n9zKoxQILXmIrSesOqqIYUuLEX7yLh73N47CMB1SV1dm3R/CbtymXn5w9QRs/AkjSCwKo5grN9c21PS+stMDLSO96Jkerm+J8nNIso4WPwJKN/2Szxy0jibPz4sCdVF5Bildo3SFGiIw+MwGWN+fQ1sTITRHOefHGmKd9pmx9+4bND/XDCaCWGJ83/1AlQ7a5wxl8c+vgFc5hu0HGl9A31YNtNMfLbO6r89t3IlIn0sNhSHYarAO+STxGbwQpAfPK6o5GCmXQ7rIDKJUUod9sGQediyYCaFQoGVIc8vcZIk0jdn283fqQJMcJ3SdUVOYflAv7bLuB3TbqDxQgnYDCqUgImVGaJ7ijWDnNihswK4SO2yOSSlvQvCSlIEAH0BXBooclsHmlxVVI3H+iZC00R0mOg8X8W4y0kIdgKpdq6r6bi8uAPvJSUWKuqlHgV3wn5mhxhyH5566XKcSKFZ6TGWMf7KxLfQcLqvLBKXo+bGhFQp8Iqdm3KVDMH/BKggE/GI7NwDHJCThhVdL2InS3xXU9cNuPgq0ZG8w8P0SW5T+lZ49S13Hzeag2wjH3MDIib4BZ3bB7v5E2tdPQiMYORMcOQHC/50MXtYR1j9IfbkbJsPReLQ3lyD4q6+HN7qh18cVdJvPemYo4UjeMVwH6sarL6i0xwYlBYTFAKpkBdJwwOMSEpB/uQXECowF77ochmktFbEkaTge/zKPSnzzcJ4CV4WTH4lGdWAwltSk/ZcMttyPef8aJTcz2a0+DPSHcYWabHFRaX5Q671tSyZjjvgALTPFvCl0h3H7dPG9i/the3sMjclHQUmUciEJckobAC0R5HfUBy2eKNCSi4xRykm7kq7VBfWVNWPR8us+Wt3TYm1gOUnNJzrV5ayCnmcBJ1DtimLSSUEUc2V/7XdVQe157glm3G0CHYGMqBjtD5ho6e9YJmxve6y2YmDPnqqCkJergEAdj8v48iMJw0UXMFdnL3NeUe30CgM9t6o/eP5/G1PXNYL4M/kmnJM6EtPnLEKJgnr8OGowAkcevMOMw8FpFrYVBmKTLmEhSftnr52AZVfleRD9CPBhMtdZJm3F7nEtUbtMUeXp0QBJbI5JaQC8vAkKCPABdH465AoBtr6sZDI5Wnv7I/zzTxRAIvz1pqK4gGT6oVxzYPCJXGH3185fwoC1NowmdVK3INC9J59dqDrUM5UcFvMDV1ePwigdQo0qtewBUS/tqmf3c88g5A8jm3wbJJ0xcP52FNRnVwaimqcHQt7HI9+meigv/ECrlnXbDKF1b3WbojZ94SvboXzcbVrfKcORsJ9AGBrUZoiWKfI/thFNH8+mrY7SKQOz+Rno4LTMp5yaG7h+BOrGkHqPdwu3R72pJCiRU7ls6XdxcS+0Tfal3Qkv1R7lx/D4/AbkaXQ8ZBuboLrwNXnvdl4NoQ3ZkGbLXMiKHyGBfrA6141gIRdAOvsNxAY8Y8Gf8JvpvhBe0qX07SQDE+jP4l7N+CdX9qF6ADlt/kOeD/ld3kMgFGVl6nGqjVQmxwynufAWk3rxSUUqQn/KfU7hkNHZO6e3ov6DaWRtIzKFmdNTzmJy/fJJNLkxmPY/Eflg4PqRs3j8zXH/5f3R9DupF//YuBdqOGxhPVavn92DxaFWDD9T536CWFef9b6rwkHX7Sfg+ibD+m9WJGBQTBXq1CLz26LKKJpC3hu7yizE4OET1KKby0riE1NhveAiFutsQT+dq/+FwrAy0G+/6lhIswC+/MAACELP0C3XS+xhN2Ytqpvya/4swJcnTSi2pw6rb+D5h4S0MogXdWcz9g5RtCwwPhDQ0VWefalJwOLSgIyUXeyR7IJ+PXujp42p8vRogCS2xqQ0AFrehAwI8AF0fkrkCgG2vqyuvYjB0O3pp3Wn6hzGZJ3jTJyG+wJl6uUKu792lqZC7mEEgZzUP+2SvAA+jg4wKsR/XKkO+P9KvhX+BXE7+qGDKJDcbDwVaOWqTjNyrSv17GyI7xFaoKPSxqg9+RDKGubPtWwuC7gW+gl191eHgYDUl8ew84A5s3YZmzB6sXEQKn8kyRgXCnRDuxk72OSiSny5dmAFmoW60bIjdCuh3FyFWqoq0aqZQm/vckKDCFLmIESvFqwc+fqP1GhRCXwv3KxRVfCGHrxIm3ko23mWZg5mHlj1If4Xni1rj5aih7T2X43nIF8rbjJh3D3oiXrPF9NYvBGawdyZZyz429Sc4r0NK+On0k1kAh0InWIAjgWOH2ybCpu3JCH0sa41asy9ngdPtXaoHOfhjfUSsv5PFReCeB4pj6QdXijXytvH1qLBY1IuIlynAsrPf6BcJVok7e69u6h3NgP7x9xoQJf/3so4jHc8O6J+EmEjCi47CtZDlmnRaOfM1K8x0Si+viqj85dRQTAsraLSgDkzU2t6uS/3gtN3D7Ie1C2GfHNJSRutcUTB0A/LG8P4O0my3lN8EgZOdNdGV7TK5qC33+C1cTP26y78r91VOgFdNwD6hfLWp4vzgNtraRvOSOtD3Hcn2lqWylu7eO1/RIDaT+6/+W7a/QGiy1goznAQq+d2wKq78hFc3xCIIQmNTqlDUdBuLGa1q6J8XXkoka0xqTyElFf9BwT4ADo/NXKFAFtfVoO3BeL6y88ogThc05uK/IrBscodgX6EbixXAP6ls3x1bQhiSV2UKSnjMMhhJmzMtTebVlVYqVLuyUfvYXGsE6yFEURNxxWA7QhVqlW6bPmNVRBcdqbl3pBaQjj0FBqWN1S6Li4JPHErBF19GzFdnvwYKGrOWhie756GquFbaf/8dZug6VxSS5a1jufSsau7PNA8gtTFfKlvjUpzuBmouHtiA+o9IvUf3wpNUcaZuyfWFKdW1KevMF5fgUEZ+K3PSRSt2iyXM5A93ZNSpTjm1gP9FU6HxFsNRuGea9jjZDY8CVrdD7VjCUtOYKE2qDuN/TS42YDoP02nbrkI73cZmGKmvwAKcmsD8sXSFqicSIKd/iUHoum4dbmBltV9x648gA1xDkwf534AdA1Y7fffnLt5wAuNQknw6oWuJSrP5W7N75CIt7DaVZ0BmXzSIwiKleXsHPmT44887FBTQmp/P7achRq9SDIGWwGTSKSQuZeArkLZldfdT8OiRhO2uqxSv1a5jsFk7Kd1xJWsiyLjLqlUp6qFv93QHWU+kbIyhw36oNcsH1Wr5bz8w/ej8Pa4K6aLCUtaGijN5gJNZgJCYd5jFLgZODeDtuORrByC2x3HkIYWeW8bb0GmCIzYcQ9XQmNggKQ0ZtsSgnjSzqQ2MMoPUEVZzWMOwGPCYLdf0hzXKs/HpkF1WDVSbI1JsWqQWOIMH0BnyUDmlRtsfFm9+vQdrb3TgxoLdLZjsI7CAlwgBMbeBkqqIWtrb2/g1UV6aFdJusGi50J0qVk6r4abk3o3X49AtytNYShIIP5rY63Vx4eAY6NoH17KSuOR/UX0rmPGyXFVltOHzpxH7/t9aXEyCCCcH6NcCiZlGaskOS+OL0blYE9a2gOhFWycbypJOnvF+G2dixZRJDDxLH89VJtJaLrZ6/l/PXsYcBq1rgykbyRCHwYuH1Xz8ahlwAYGXETdKySwR71TBI5REOgV1DJPVGvuOpcRGC8gG1zfzFqj6IgMG16qNUFjpL/1sEYZCaGzD6gwE3YD52uMfZpoyNyjwXB73JxRNx4j/QBTZvkkTbRdaTbJZPi5oDTyI5EWea2WN5p1Ga40FWwTNH67P9a9sWe6NTEoT+lc8xrjG7vd0Dh8BW1GiL4NrOb45bVZeaY/6utPlFhtDn1BKm3Dz0Hnkb88e5mpcgr2S7eaqCQnJ4VD6nrCqgMpKZFTudrQ74NrORjjK23q86abULU5+Z7UBh80wUaKcvvy4q7oISJMBglWg1FIyxMqX+8eB4vwvTTEZ3VaouP8Y5oAOatt8Dwfipq3JqCdSIEhrs4IoBP5jctzAF5dBvb2oM2IlReAT/0rmNNeDfvTee689hkQ8fkHWiz3TzN8oujYf5MzhpwGyqooeerWWsCXJKVRyRYzi6zEpWnM2ujahyrTYjbGpLR9TNhqPx9AZ+vIqskvNr6s5h5/gn1338Jc8BGXdWcyN9dqDQS6qOlkxoW5wB2i67S0Pt62WIfxzSuoaXR5NRQCS04HYfaD5kwwxt0BSjKp1zQerQh/YBfZ9IuXG2BbY39MbV1J403XZAP379mMfmEkCzhBpxgKzddu2rh/4R1xZRvKBRDq2zC5KSq48aeH/4XbmVUT0enbLrJZVrQ5qk4+8a9urLz/4vljVD5ox/BNOusNRAZFWOlvdpy6vmchmoSR2sxROmVgNp/QOGZHFpvbei2cjZmppCxJfNHqKDyZbKCy2XdF3+TJPyBbbAoR5PS/77U8CFu7dlyBIEd+el96iV432sNU8IX0770bqJYhOJoj6drRKeVjKHQ3MstRBfe6DWvLatrhQB5YSX0jOj5qjYKCX0T7kDNAWebvWR6Ylmcq/VY7oEUsOeEUUtAOVtNJfdY8MyyPFP9MloCqX6z4bvncYRtK1CUBjzwyTePURruWhwnIO/hF882o3DQDM4jGWa0cg0IX1EEV2Sta2OOarqjRlXxbKUcL+6WEvI+HbFNT1BCSb29J2yXQaTBGq52POuUBsyDCWhYgrwk7t/QgHH+pDoFRu+7DOawvzISfiZIu64FaA1SnNLuSv4QBa5nJnrMrnsGSAdxdh2QXQnW2dzkZgp2336AYEnBdbwoKCJKI+gqtgIFHVWdOhv3fJLkYtSQ7EOLeESKhQHV61SyZjTEpNUPIq8siAnwAPYtA8c0yR4BtL6tvP1PQwPMKklJlWCNejc6iO8RxHX1g4gOgsKl6psO9rcDZabSuEJkF9tbcjcXda6hHP68lDYFFO09ibuRgJhqO7wG9AtqF0OeXwDpbhs1zqvjCsy9z81S7nMp7aw9ucEWfT960IdH5q8Fk5u28N0yFFrx/cA6lT/ejNVCZzwWcoqCrowG0Zir0O7eiTyzsi66p52kxr03tYTFyd27FamX/T7FxMFrNLHPwbeh1FLWw1kp/lGl0oHcf1I2/QIsMKtoetSeT4IQydWmzLPfly+H0fQHtQqK+EQzmvNRml3Jk+9dn/ih+iAR9JXIhPo57BVMjvjzL3wClEmUrnu0BW6HCnGm3BKiv3Zvu2ZlE0f7bYHKVBGw+yIshv+NLFNIXZ0cMp9quuvwKHa/bo4IwmvjdfQtQoxencFB0NtS9DqpIFQKB5UahxmD217H+04DL5XI8drGBtZCUYYtqtAhmrcdzdo5k5rhMJkeiWylGMCHS/ijK1m7FCZzuLW4L22Syz/So/FjUHETYvTgBghKcPPf4PZoercUstzjoBFA+w+EHJehSp4iY61tR0o/sAz6XlUFZp0fQF4vUaQbndNkvO4NTPzIEy8fcAEoxy3LkKTCSZMg9jCBQSJydabgOXhMIs1ue2scrJ9+mKRLUW3gF35MlcNHZiWE6hF0WEABjAlQ7txJjgaXM8jGtkpdi64yBMC+enzUjxbaYFGsGhoWO8AF0Fg6qOl1i28tq/bUwLL3wAlaCCJzRy0B/2XAS0MZdffBmyBj7KdfDaNOT2Duqgfps4DVh8Zp1cPw6l0YiSacw9Oe/1T5kkhIATyZd+6QS27B6PH8iIjeDeXyZA7r9IMGtyBItUHb88dyI1Pi+3yIfouhOZj3mmCnvULIITzH9p8H7lSLFKw8bxgmJDzYzYdyZmzTLqVIZ4heYM0pjRHXYBbO6XTR+/qvawNfu1WEhJb8xd6vMQb2+jqpWq3XyXTfuhuvHCbTdUoEIIqcvmlGfUI1ohp1aigpBC2mNL+RlUNHlMYQsOlmgCjivPP+ExH2DmYmy6l7nq8KxbMgM3zkG5SNJ3Vh/YT00deZmWZGswnYg8C1MT/dFY5EC607rBUCjyVkVwap2vxJiobu8HEQCwoDxot0+VK7fkVV+ZteZ624t0UR+n+4WWX0SyvZQ4x5Cdg3Og/bffyaioJcxQ/OHAddgXLFWHlijfpX+yweg6XfC1PDYqDtqjN2ufkO0XOOeizcw8HaG9820UKAQc25pm5s/nl5EgcOEjeGrvCCSp76CSZF82uaK1thLfZsOdV6BvWLyrpYJdSGcFw2INCux8NeSysj36yON7Xzd2fCYS/YrtQZ0lht66F4UZh19jDKCT7isOwO6AinxuEZfoPsmlSMgX2EJQcI7Ws+klPHoNngKmlcpqXLd6lLAtpiUunDj9WQfAT6Ann3M+B4KCLDpZUUtmuyWXMXHhCTsFi+CnSiEeKpfGJj0CDAopr7xj38PeDNpFLvpb8PxOXzAU32DAKzwnItpSYRKP65wFRSZeledJihHl1yO1IWmEEt+0NeeSFcAACAASURBVPKm6Lpg5VyS3awcRdyScmlhV7ROvUo7HV5uEMoPXstqEFITPkG8gkn9Hz74PsqXq8hqv3Pj3JPXH1BluyWjJEhy/5PQq8RMRMiNDm3r+9y1JqqCUC6+qrcIFdtz+4SWNOk7sNiMEYx43O4IatRvrW3Dq3J7XfdchmtYhvXQjDCgQAmV69YkBa829EPFT+doky7pt0HrOYc1yUSNtIWifb21YSxG65yl7ZNZ9YSw51aNtFcVRkV7NYDJz2e06KNFR6LH5OWqUMUamVdDYxC7dxij3i7qjQXac/PkaPiNQyh/eRQ9vslyMaSzX8PAQMtYupQ8Q88t6o0OKeSkWYRFH5Qb6qNkLdot7mP0W5TyYZ7qTBj/FIVKqInpL4/hu7x+ClrFkID588KNUXUq+T3KY/O0Rv32nZsxLJKUUksS5oe+03tAoN30xLKPTyHc2JAxDiHDwmBlzq01rjonYljMD+xfNRtO4j20WqlRDYjGBqjTjCzp+r6xNQp+DKTbekoHYvaCtRBo+bzPkvNa1Kjrupt4FBWH1eI1sBcpMFSKdNOZbYuUUb03+/oCLwkD4kZJJ+i0dcdIu3Kq160mDWyKSakJMl5NDhHgA+g5BI7vlo4Am15Wp4KjMWn/QzQWPsEe3cXMIW7lCjRWc10qmQyyhcYQSkmdlH6pTti9YBp0RDxVsrqewU2uw+CAY7S6r6atUHykCmvVqNCxxDWNYPCVJIY4SYbDxW05P59ygfk914awBTmJFFnbEWXt5+RCohZ0lUkhdSvOCPKFdD4LK5vGWmB83ph49eIJNL89hHyQQwiRY5T2lYJQIny3PVqjgYR8/IdWHocq/TL89ipRnzaI+vDYD8bHutGmUnTccVMiYViUrw2fcfw8Tj+G4/0mjPcQHAIAY26Vufm8yBIlUsjJguMm09FttLM2TPc8tTHmexI2eM6Ai5iU0UgpXR+6oxTpFfPURNUqlyRD4mECHUhoPYcs16F3L54C9G/AU4kX1zdMwDidU3QzWdWuEPbZqdrx0lDpz7aNQ7W3e2nrHopqoJaT5gUb1A3f8eVj0e37PlotF9ipsotx5POHKHuQmUQqnfsJIl397IrSyvYXdy5C28gltO2v9avAYo4WJujnMfp7V87CgDhyivNjQSuUmn4zj61SgvpMqJdvdr6GRjbcYGhQAoLZFnEh5CN+HhzBTJCrNRDoQg7SZFuoijokHhoNg2cHaem7JK3RYc5eGBbQU5FGXmx2EXgWnYAOqwMyZ7ZtMAFoS9jDsis7W+39PIDrXnSX69LquFB7AxZ106CyBNly6L+N2RSTyiUUfHcVI8AH0FUMMNvFs+lllZ4h9g2ndeehuvA1GbqCJsCkIECsfsokybqG0PlMgnOOqSMwbroHzIoZsH1qaYR/SalSnF1gz1hIx1UfjiI9SM1rjTA0i0Yk7xsEvZdk089H0hEdpm+BaVF+PmURQkazFIkM0QuqwEL4if5/dOsNMGnUPyfitKrPV1dzFEccbfN9uy2o05K7NUD/NXiXt8xFq3fkAzxKtzzM5gb9qxur7/t6DUSbn6dpH0ONu6KKAzeDEL9BCD3uiSrBJIngBSxQ2TWY1fMgp86tuxqGntdawkhA3kPoux+o0iGnIrWv348YYBmT+eNk3X3o0oHb9MlZGUipTI6JTq5YL15JN08paAbd6QrsU1kRpK1t3t0HtrSkrZfJBfC1v4t2NpW11SO12P35ezLWeM7EAjH5rUoxsYXu6Mtq0a9pSj4srgXj5AjarHMlRqLDeJ7F4NA6J/T+vJrG5V1Ba5hOv65pw5en9jwLvIxq5wiLTKJcDwZuMXlqkzqV+x7bhjaPyeGML6ISMHQKU6cJrNB1xqMnOkku0b68KdMN5sN3aL9vFHOgmyHECklup213oXNHvtSVqgaX+q5oebUrqgijiIr2XkC90apSmWO5squeEPqT78VrUmsUHnUStcoUzbFMvqNyEZh/4gn23HmLLWIvtBI9JML1CgOT1chs++wkcGgwrf+LvBAmmBzEAQcmw4VyvVevNDbFpNSLHK8tuwjwAfTsIsa3ZyDAlpdV0Ntv6L7+FtoKA7FJl2ympTnbeTVgQ04OqnMKyA8NgeDZCVrldklbVBq6Ho0qGKrTDM7qiopNRPTK5qgnDKUx+NV8AfI11c5ah/LLbhDcWEH74iu1QeFhh1GvXHHOjnFuHP8Ql4hi3mWgJ0ilxST0P4dClRrlRqxW9I10r4myUkK/fdd6Iep1I/WItcIJNRp5b0kH2P4iJyKCjbrDmuO1Dk+vnYHOXzbToxBRuD7KTeXI6c8/zL2X6/ugUswF+q5fvrZoMfuQGmeq9qjaH/gWFc70gK3wJTG6zUKgIXfeQ5KQE9A5QtanP+T6CB4QjEaVSmnPQOahpcM91mObxJG2QCYUQzg/BhCyn+XpZ8A65L9C6mW+kpWGYEIgKpTkNvX2v6ajTCbHeKcF2CAma+mUAqbQnaFQE/1fQthy/8dnYFkFhjen6+xE505d2eJhjv3Yv2MV+r0mTCBfdE1hOJeDc+QvCAb7HYD1dQe6xScUh5ErScbIMfha0vGa3zk0u96PtjYVOhC7fNF66nF1wk8lwj10rYc6whe02ve2jijdkR1McF8XVkHx1A+0b4cs3NB76BR1QswpXbMO3MWi5+2gI5ARv4dfBMrU1zwcgg8Cx0lgP1xmjOCul9G9NjdKYGjegDAt+pksQb1FV2CSEglfvdnMmy2dAbvp6nMhNgJYzWSu6KCzGefm91afDSrWxJaYlIph4sUrAQE+gK4EELksgi0vqwn7gnD28Xuc13VkZh0WrwiMuwOIdPJmmP2XAlcJvcsdWVW87nQIfeuqoV5K3nisUVofvPkGo211YCr4Qtsl77UTAkst3RwK2gWcmkj7Eiozw9MuF9DDhl9s52TiPXsVjmp7azO6yiaHQFjULCfitKrPk8XNUT2ZnKC+U34y6g9aoFU+qM1YuRxf3CxgqHBi/5HNYtTsPE5tJmiiouM7lqPbazJnPupZoJQjt09bf1pkBaMUcvLhlOkM2I900sThy3ObKKrFhAOj0VvHn9hiMwzonCEJMs8tVZ0BsUemoljINloBRctXfY4fiubXVZ1SFkkeuuoEdnzLkCA74xVQoCSLvMzclZidQ1AykiToHpU1RReXE3xJnyyM/IiFG7A1lQRo0hIvnD5zLvCV+vgIxMdG0IhRCTzPBgWjbgU+gefgkQPoE0KCw0mCfNB3+ZiF2cWdJg9ObYBNEHmOIoQWKOfMnTXg7aBgNDjVhDngsyIBg2LcmQS59PRd7E8UWFURRQQ/aUkJ3fagkHXnXErWjO5vVraBeRyh9T9SaDB6TlujGcax0IrpK7djeRxJUJBDAEFaubWCmuft27vAtja0XclyHaxreAPT2lbVPFs5aNHBe28x++gTLBevZ5YE0C8CTH2q3hJ+Mhmki80gSv1Bj8TQlJlY4zwbBfXFrBgdtsSkWDEYLHeCD6CzfIBV7R4bXlbRcb9gt/Qq2uMW1upmWJT23AZYEXoxVeP5H/mh54ADJDs5Xm6ATfX9MKs9vzhSx1hcePIOrY5UZ2aijvIDStuoQ73ydUQGADs70XJ/yXXh0/gmJreupHxdHJAYeMsPdX1JvWIpVdea2kTNq4QbNWJ+b0VP2CYQyry7pfqj3pgNarRAe1TFR4ejsA8z0eJN/+swr2StPU6owNITx/eja/AYWnKiwAAGLuSkhQpUarbIpHjAk5kcd7b+PnRsx9NxZzZwgZGxuLZlDmaJSQ1AWNgBQ89o9jgr0bpvK+qjaMJzWuImnf5wmM+/h7MK8agdd7EhMsNpo9HXABP21xiNX1oDhRPf0FCtzz8O42YSOtCsYsjFdsNXncC2jIkXM8OB/NxiB/t6YByKh5L6537SmrCdd5k1G7K5mdtHfa+hx60MVMtzPwC6fMms37jeO7AQtqFLaZifiqvDct6N3MCuVX1D3nyG1XYmg4N87C0IjCy1yo+8NPZeSChsj9RjmCCf9AiCYmXz0iyl6Y7YORblIvfR8nxFTdDGiZS+UpoiXhDkcjncXGfBVeBDvksLWsBguoYm9Xz/BCxn7t/NL3sQHkPa8aOpAQh0WXsDX96F4ZreNIgFUmJR09lAc8L+pC5TZVvbQhh1h1a3NLU32o7xgrVZEXWZoFI9bIhJqRQgXrjSEOAD6EqDkpuC2PCy8jwfCh//V/DVnYUKwmgykCWrAWNu5i2VY9xbYGV1xuRyKnsA7kPac3PCqdnrI3530PN6W6bWGWFAgRJqtkRJ6uLfA97VGMI8Kh/D/H6kDqaSNHFCzI3TO9H4wSTa189CQ5RwDueE7zfXOaDR5wO0rw+LtEGtKYc54Xt2nXx5eQcq3SBlH77JC6Cg01vo6IiyK4pV7c9du4EO1zIEh+dEAfqFWOVnVp2RhvtDtNuebk6dJng08AnqVTTJqghOtQuL+YFlK72wUaHsjrygCQTTSUCZ1YAkxUPuaQ4B5LSby0y8MWP0cFa7rUzn5h1/gvGP7GEiiCVi++4DqrA8aeXXN2CJBQPKleU2Y8pg9tA5KnOeZJTlsPMuNkS0hVBAnj04BADGNVSpVuNkJyytgUKKSRi6wzBuLncYQP42IGfvhaLjWWZg73/sXXVcFc/Xfm7QiqBiIKgIYoOJjYpid3d3YScooILd3d3djYDYrdhYgCIYiJK33s/q+91h+RnArd29e//Sy8w5zzln7uzsnILXfcCa+btjnVF1COjGpvFwe0ucVbfNa6HShBM6RKBfVtHxyTBb5ITcIpIVmNhxPyxKe+oXGIe4Xzx9AB7XyJknFcYwmRYDiPnxfhV9ZhEKXfWlLXJfWQylpt2GsZT/bWZ0vQxjE1JwZm439JCep1knFW8J827bdA0lc/xUKshmFoSRIpke751zBmaOJfdSmSMkjNK0Bh5Ff0PzZZcxXboFfaTpWtNJzX5ln1vooXXmyfHADfK8Pa6oClnbjWhTgR9VSPngk9L0OhToaUcDggNdO3o1GKpc36yS0uSoHngR9VKDsNh4JdNuHbcBpclltl6MqlIhdZY9TOTfafYzc06D91gd9k3Ri+DsYLp7/x50fkT6C6WJjGE8LZa7ZRqVSshn5odUmUYr2C/vfEwfPoAdCucYipDts+D+kmRPvDApjeKTr3JMiuzBDdnkDfe3pGLHY7NKKD3xYvaI8XzW441DUfodydK6Ia0MN+8LPJf63+IFh79FnX0ZHA7DbgA2Jf49mYcjPp+ZhzxXZzIuyuwnXkduoRz3b639JTENXWZuwBmTDL0up7wHjC14uEIyiPTiHLCjPf0lFXCxsXYwhjQoy3/ZNSTh0gsvUCu4MyqKXxKKTecDbjw/Ez0/C+zskG7tGGFn/Svo4y5UI8rM0vI+/BAj7zZHPlE8Gd51L+CcIeA2M8S4OuZbFLCImSk7p8g6TOwjBGFQJg1+FotqO0vDRCQjFu53HrCvwlWLaxz3rVX9UfkjCby9mqspqo/epXE+bCWYnKbA25mujNaBcQ2WwqZWhrYibBWABbjOb5mFBq/Je/g7YycUnnKbBcg0AyHx8RlY7CV7aoLKDHHDXsAxHwtLimtGZL1RuRLxCSZbGqOS+AWNQekxHWL3MXrD9C/G35fWRM4vj+hhgaremOS7GCKR6F9Thb9rUQNTDj3EqeuPEGbiBXNRKuHkNghoSvYrLUL4X9IZ2ni+UhbAoVpHMbYhP+5cuO6T0ulaEJippQHBga6W+oTJXN+stl97i+mH7+O88Tg4iD8SgxYoBwwM0W/2+f+jiV/RAFZxN2lsK0SdMWz6GmHx6UADu9YvQJco0qP3k4k98k4mB1UdQNA4i+8LKiLnd5IlHWA8AlOmEKeNxhnymODlVUNR6yNxjN6zrIfyY0hPUR6LjpC9S+D+eBot4jtpURT2ZmmZMz0bInJONdgnk6zYkzb90HTYQj2j0j97KkLbdm1pRvaNstshiIt76B+cHhDErOuIAtEkUn2/qCHaTxeqOvzJFAqlCmWnHsITkz7MIYMvA9QZjucf5TlfiMMW0VJeV5ZEcrdjqFuC//27NWVaqkehxdH+aC4hPUZRazTQgGR8aYoXm+goz/lBHEaeQdTaUfQ8gRpOhlWCPLs2WXbhBeoEd4CL+DUh0WIJUKl3dklyb969XcBh0oIlXmWBPfWCMahuce7JogXED6O+wXpdRdiJPtHUVZ22Q1SKH72ZNaGyu4s7oEL8WZrUZZsuqDVstSZIc4ZG6HR31BaRd6f35b1g25rcO3BGED0BDV7cG3XiD9HcH+X2RNmR+/WERgtsv74FljADjUNbXUHtCkKZf01re/vVV2h7uhrT4dn9AODUQNOsNEYvcXc/WDwl6327vD4aTtyJfDlNNcZDIJQ1DSSmyuE26zwGKPdglPQgmSySAF73ACtmq7asUVdj9Pu7wNq6NAGlSoRxTiewsEdNNYiyZyrXfVLs0aSA5F8aEBzo/9KQ8Pe/aoDLm5VSqYLnomBU/HIC84xISZOfAnfZDZRgR5n0+AOjYfVwI22Hkwo31J56Uugxp4Pf5v7Fo9E+nuj+nVVVFB5FXvZ1AEHjLL5taIdckaQ81UpFawzy2wyJWIhWzaqyby5ogyrfSdb1jYJd4TbIMPrPhpw7BPcwclmcBiMY+8QYRP/3LK0TWQpkswrBCHJ62jHXVWjRpmuWyPBxcMy3FHxZ4IbSYtKH90ejxchRPYNDlI/CZ5RJpcKPQCfkSCOX7WusxmDQqOmGIH22Zaw44xyOyQehkOgzodFhC1CmdbZpcmVi8ur6MIu5RcNdLm+FThPXwSanCVdE0DvOoGexiNg2Ev2lpwgWl05A2wzvBHpHqlkAyWsawuwDCRpYIW+JzpPWI08OYe1kRtN7b0bC+mgveErSZTrWmQTUm5yZ6bwYozw4GOIHJFv4lKIKLHvtRk0hCOOnfaO+JuHTolooLyYBy8mN5sOsOs+rW2RhdT+d64GSSeQ3FGw/BHX6zc4CBe4P3TOjOzopSE/rj3aNkb//Hu4LpiMJ7s+qA1fZPZrbXcehqNAjUEfcdcBGqUCaf34Yg1SyOF5xPZq3JBVkdIDCIFgs33sCwx9neDcf9wLIwd6gVGXIAogvkoCba8pSEPc5CTeH3AZhMzYKuevGO/gfvIkrJiNhna49B/T9biFLgTLAFmIV6cc+Osc8LBpHKq2yUZ+ZxcRln1RmZRTGsUMDggOdHXbgLAoub1aXnsViwKaruGg8FvbiOGID24rAgIusKdMtu7kZRidI/9zXyvxIHnwLpW0Ns0+sLn8sJwM7oWnqaZplhH07OPYjDnVdYtEUr6SjE2B+h1QwOKqojirjDqFgLjNNsTAYOk9m1UApWTgt7zXn8ajW1dsg5L/zNAIVd1dkyJo2+BqMC5QyCPkzK6Tq3TWINpKyrlTE7+UOt+Fe1jGzJHg7TqZQIsTXA/Uld2kZP1Uei7zNSWUD3gqfUbAvr4Gl5RnfLim1G16d2BHIx1Y7tFh2GRNjJ6CWhOzD8PAB3MexFbJmcMmSoQywg1hFAnO8pD5Y4s1zuTWjPZpK+PtvOLhiMnyMSCUZZZFaEPfhcR9eeSoUAXaQpGvlM0oyBYt9JmpYu/wlRwVeRG8bjO7SdK1YKvYEWpK2NvyVHgDVe3VBaRj9eE+L6SPrjbFT58HK3JjXomdWOKpFXNgMT3hK7tBT4quOh1UTw3hHyIyevvo7wFr5hR56rnQgPDsOzcxU3oxZOs8HIxOX0vJ8s3BArvHEIcwbQbUkSJxvUdjgK039Uc1lKOvZU0vc9EP2Q2B5FEwl1U4O2U9Em35T9AOGx1xXLJ2NYV9I8MUP47zIMYUEQLFS9CfHgT3dyDu0yhIXmoehUxU9ZTmzUkm6BUW9l1aO2Y3pRtuYjIdcAfLrt3JE0uIqMI9/TuPyVfbFNN+FEPMgiYrLPindrlCBm7oaEBzo6mrQwOdzebPqufEG7CJ2I8BoA9OK3Q4AxVlUrif6DrCuHo2RcsBcaHMbnuUFB4y2f35X/Oqihoo4d16VG4Vi7fy0zVar9FXX10J0ajzN476yGNL6XkCVokK0alYVH+NXHAVUsfS0m25LUKWpYZTwTEiRITnQCfnT9QCNarASdrXIi1xW9cnH8fEXFsIqlOwZT5X2sBxzE7ZWQsAKZe99vu3RAedo08c4dUKB7vzO/vztOs9QDjdOZYmzTULRrVpRPv4sNCbT+H334Xrfj+nIcu0KtOF5JZDXocCW5rQeFSoRvIoewfI+dTSmW0Mg9OlHKqYHzMQKY+LAkOcqCuloHrcjibwBbPBkvFMMsduPNQNY9N7D8sX3+H0CTq4Yg3FGpMWG0skT4u48Kh38Nxt8jgCWMQMou5ksxY7JQu/m/9SmUqmwb3pbdBSTKlVxpXrAptNylq9u3cBT/YiDaL4Tg1low5OoXYMf5WQzq8VZa7Zi6ocRZD+GBOKp7wEjoQTzv3T449tn5FhUjDHsbecgFCnJ3Jv+RYftf49Y3hqOn4JomCdytEezcRnuLtkuBAfwbZ/RC90VpA3fx/zuyD+EVIdgpQifXgDLKzOgLa54FqNaVmUlXL6Dolq3tFl+CcEmo5mV0ZwbA131X1kkZU8/mD4h59Sdcg+4j90BO2tzzpuGyz4pzivfwAQQHOgGZnBNi8vVzepHqhyVfY/jovFo2IpI9DPsqwJ9z7Am+/ynvWTJUMyyhQRK2nxHK29Gy+ZtNG1OgV46DVD9VSN8y8BZHE1/G1VnIezq9eO2nl6cB3a0o2Wg+hZean0TrSsU4rZcukavVEDmbwMjkFJID5scQrmqhtO/+bp/HVRVkkyJp86DUbLrHF1bgtX8Pq7vhPxRpIrFftRHu+kHIBIJLRMow20KHIo+qST7MyZfbRQYepzVNtUGOPnhEZDe20qTpsrhFhiwDxUKW2uDHW9obrj8Gu9PzYeP0XYiE3WO68ftViv/NFDwXCBoFj3sgdIBF933YlQD539OFQYQDVCtnDr5LME+I9IqQSkxgdj7I7veAzRptLAlwDlS5eOJ0h6Hqu3DlKZC9ZjMqvnzj1TMDvRmtP+S2ZSB0bArmSXB7XG3NgLHR9MyxKqsMM3xAFb3ZF7kc1tI9dFv8u+HPkpyWR1r1xD5+pOgC/U5cJfCl4fnkPtAe1qAFJURYoe/QmEbw6qut/jkbYy6keG9cfBloEA57hpXR8jf3A1C0SOkXY9MJYFicjRMTfkVoPxi53gUf04Ci0PFVVB7GmnFpyN185oN1bf69sy6cJc8pOX8VGEE8raayW65FXIoZuaHJF01qnm2SzB+oGEkc7DNOLNOPMbnsC1YaLyaCa3PaaBIdb3DVYUtheicD43jntIRCd3PwN3ZRu/Y1AXAVZ+UunIL83WvAcGBrnud84ojVzerG6+/4Ph6X/gbbWHao+cRoFhd1tkoJtAVBVLf0LiO2o9Dy37kAcg6wDwAFJuQDIsFRWAhSqWl+drxEKxLc9xB+pvMkXXVL2BAI+HiKyvLNuVLFEyXMksxve51Gw4OzIyKrNDk2tgzC/ujUQK5DHxmXQclvI5yTQyt4v0RUBw50kiVghWWozFsjK9WeXKJ+KrFMzAkfj4N+UuO4sg9jvR15pIs6mBNWVwJpvEvaRIz5N0xdtoSmBtL1SHL+7lXXn7Cuo2rscl4Hi2ryjwPRBNe8Vp21ZZWEL2+RMu4Qd4ERbstQf1S+XkttzaEaxOwG4fSBjFJj38FWOTRBjv909zVBXh2ksaxTd4AFm2XoG1FO/1j4wgCKvCi37Q52CQl5V7lprkhnUTK7HJElOzB3NcbCD9Ezz2sqIFoj2UYVs9wzr+ZUdzKORMwNJm0zPpkXQF5vci+nRkafB3z/MgcON8NoMULVxVDqel3eFFKNis2O/HgA1z212a0ElS1WQuRa6eskDHIsY+OL0fZW1Np2d+gEIr6PuadLqKC1sMueCwtV4SyIAr5hMPUSMI7WfUl0KOoeBRcVxZ5RN9pCGltN8HYpa2+IGWab/z8SrD6Qd4fF5sNx6iJJMA204SEgWproNOqMPh/GIgS4ihCy74a0O+M2rQ1QuDVJWBrK5oUFbi2u8FV9K5dXCPk9UmEqz4pfepM4J09DQgO9OzpTZj1/xrg6ma1MfQVGp73hJ3oE7FlkVpA7+OszDp5uqIjSsaRh+/FHM3hMY5k7QkLUvMaeBLxBqW2uTIIK0behyQ3x0vqytOgmFkAknSZ08sd12J4D+FlPSurKPZpGPLtbkpetFQSJE/4gFwWJlkhw+mxp7YtQJMIf1qGj1Jb5Pd+wmmZNAr+WzSwqDSD5OIS2zGqSwuNsuEysWXr12NEFLkYSpZYwswnkssiZR174mdgHrMM5RDz+Vg1YUDWaRnYDCoTtP2sbQgyIWvopwomvAbMedqWRCGDMrAwxPIk2tqD0kbDf9Ik5LcUyr5m9SfQbnkw9sW1glikIlMHhQIFXbJKiv3jlUoo5zlCnEwqb41MG4bBwyehtK1hZX6qa6zuAZuwPW0Uk4x3LCDl+RlQqYRqfnGIksj78wTZADTtOQF1S+RTV628mr9k6Vx4fSGOjG9m9sg18RGvZMyuME9W90CpGBJwe9HUEx6TDKQFQjqlvf6UiIglzdBAQtrFJVYZDotmggPsX2vrwcYRcHlHKjddN6mBqpNP/Wsa5/6eFHEV5tsa07ipTPs3gyNQvKBQoUpTxjxz9TYancmQIDPyLpCb+W6mKX6apPN5U2fkeUvW/WZlE/T03WVwwUia1Gl2aFGBlcN9A7BSPJc5vcseoAT5/WaHtsbm/Oa+YWnJHRjZmbQE0xgvHRPiqk9Kx2oS2GlAA4IDXQNKNGQSXN2sArYdx5SIDL16e58EirKz99ajPb4o+2QRvdTCxSVQZtoNQ156Wpf95pUgVDlLSoMpIIbEJxaQGGmdt7YZfJtdGrlSSGn6FXkmYpJG9AAAIABJREFUY9iISdpmyyv6r0N2wuHiEFqmSJUN7HxfGFRp7tDgc6gdREowKiGCeEo0YGzBK1tnWxgqQ4vK1Pr/zzeVOY42CkOPGux/Ic+2zFmcuHzfSQwP78KcNeW9Ya2hpyeB3UQHSSoTTHI+jqXd3LKoTcMcXn3maYTKukAqIm1u0P8CYMfTqipRt4H1zIu+BpKNOOfd1qCeP5pa7YO23YLfy/YoIPpKSLLpwktTglJ04p4BK5j7Su20ZTjv3w0mUiGbLSuq7rbsNHZ8zhB46vUAsC6SFTLcG/sxHFhVg4G7VupiHJrSFTY5eR48kEVrLVq/CaOjSJBFqsQcJj4fskiFn8PfBrqhSOozWriTtiPRdOAMfgr7F6kop8sGv14YIDpCj/pkWxd5B5L/G5xSMinw84WN4ZxwlR59Lm8PeA5fnsnZHBqW9AWY68AAHNrkLGpXFfpca8qKh3avR5unJBA3SWQOc59oQCzWFAut0Uk85QeL6wtp+sEKFziNPYtCVvxqZaA1BWqI8MvYH7i3rAvaS0JoivI8JSAddo1V6yhjZcTluSdh+MjJGtKC/shw1SelP40JnLOrAcGBnl3NCfN+aoCrm9XsOX6YlEwOG8nGuWE2+RUrs88pPT+/fAjO54kjJlFlArNpHyCWCBde2vopXj62CbVuk4uPOHFe2EyL0BY7ndKNXdEE+eJIr8b1xt3Qf8pKnWLgOrNnh+egxD1SfvCeqDTKTycv8lyXLzP4I97Hoeia4pCky9yL73YGVsWrZWY678coTk+B5NoKxkutWd8jcHPgaWZsNiy69vwDDLxcmzlz+C0gL/fLiWVaHWd9gCtL6eFXFKVx12ObUA43kwrstfEGpr/pgWLiGDKjzVqAryVQw5YC6XrYvVAWQoDDZmzqIwRcZHLJMIZNO/IIbW/3RHlxuvNds4VAlX7ZIcfuObc3A8e8aIzRqjzoa7UZZ0a7sxs3C9EN2noTiyOawkyURtD1PQMU5vn559oq4DQJuI1U2qCD6Rpcm1KfhVbSL6Qlu0/A62lXJogpHwBjc/0C0zd3pQKp/gVgAvLbuei2Dh5NO+obmV74L144E6MSSBuaBJOCsJz8VC9YuMQ0dmYJ5JOTc98pZ3806Uqeb1yS5V9YE/zsYalKoIedclmCJm2FPtf/0ltm/35s6Si0+LKJHv42R3kUGRec2el6Had6uB+iA+S8GqXKi7c9rqOmU1694jI05ofvRqPcofpwFKcLkms8B6g2mFWq+Li6JfLHkLW9VdwaPXw2cz4Am6s+KVYtDgFMpjQgONAzpSZh0J80wMXNKjlNgT3+XdBbSkqix9s3gFW/A6w19Kf3b5F3LbOcZFzvq7ApyiwPzFoBOAgsZJs/3CMW0Mifm5SB82TidOagSDTkuF1DYfOMtAA4oKyDNr5HhHJPWTDq0y0jUPI1KR13yaQu6k42rIwBuUKJSP/ScBCRl4WX1WbDqTHJzM+CSnk3NHmVB8w+3qblWiRrh75T1yCXOferWGjKWHtvRaLRMTfkEpFy1Oh5BChWV1MsWE9Htd4ToihSUWaJvA1cesxFPaEcbqZsF3jqCapeGQwPyT0y3n0C4EF6Y2aKEFcGZehhvUNeHzHugRjbsARXJGAVzuUXX8AxaAiaSG4SXLXHAfV9WIVTI2AODQbu76JJHVHUwMUyAVjSuYJGyBsSESrwou/ttigq/kjEbr8JKMv+nqlq2SnD/rNHXhfnintjfa8qapHl4+Tlp+5g+PV6TNG87gPWHG8FpqaxUj48hekaZvbsw653UM7ZUU3K3Jy+YtchDHuWwRk6KRIwFdpq/NGiaUlQBthCDNJ65UKd/ahfz5Obi+AfqN/MqYGiyeH0qBO2I9Bs4ExeyqoPocJmNUZNGUmCeFakG0r04UhiScxDYHUthtp2N7iGzrVK6UOVBstz3uGrGH8vQ6n2gZcAW3adr78e84H1bRK0H6IoB8ex5zhfsYCLPimD/bFwXHDBgc5xA+obPhc3q9tvv0KywQPlxa9o9aXVmQrjehP0rc4/8lcplfjiVwR5RCT69EWdFSherztrMXMd2JUVA1Ejbg8txt1cnqgwmh/92b5fXIicIX60bNeVJVF0XLDQPzULi/bF8nYo/uk8PeOkZSc0HbM2CxT4MTQsoClqpoXRwjyy74ay/Tjy0qlNE8hToQiwg0RJMmy8pD5Y4j1Om1w5RzvoaSwK7PRAKXG6vuetVwHlM2RtcU6yTAKWJUMVaA+RUkZP6JE2CfMnjRb240yqkIr6/3xgLPpJ0/W+LNMW6ECySTJJiv3DqP7Dcx0gSomnsXqlDUXTbl5oVKYA+/GzECEVxJN4eCz6pAuqhWtXoM0qFqJVE9ISV+DrG5qIj6w3bD1HYkhdw3RcqaPNFUEvUTmoG6qK02WKNgoEqg9Vhyy75yrkv0oJp5J3UWr/cfDog1ENnNmNXQ/oNl9+hS7n3GAiIs939DsP2Bt2sMHrkB1wuEh+J7EqK+Sc+gpmxoZZVW/P1Rdod9qN2YZGWCd//cUqo+9BvK4OPUapEuFej3BUdCqkh1+69lk+WdUdpT4eoxmdN2+KBhNIMJz2EfCXg0Kpwnu/4rAXxdFCRtSYC8eGg7ghtCwZylkFGcEk60ptwoBOPA/mY5l1Zi1ZhqlfvWlUcrEJpFOjWdf6UxV+GKJ9vWicX1Q5ENr6GlpVsGeZRrMGh4s+qaxJKIxmiwYEBzpbLMFRHFzcrLZffoaO56rDWKQgWudAxtvtGe6opLhPY35SfBBKdZvL0ZXDfth35jVHxcRQGui1Qr1RbcAS9gPPBELl42MQ7yXBFx9VVojqew+VilhnYrYwhNJA5NwasE8i0eCHC45C60EkKMFQtHR2hRcaxm2mxX1hUQnFx180FPH/LGfULWA9s6TpELtDWNWf2bvY0BX1MOobPq1pgXoS8mxT1vOGuM54w1DN2yvApia0rAqVCPUkWxDs05Lz5dR0ZcCnMQnYvmwaZhoRh7kivwskQ8jzW1dYtM7n42NgVXUGm+opy7B/UgfOZw9oXXd/YBD8PA5hW3wwxSjdZbSDO9CLXFbrC5tG+X6PARYwqxQ0SQ3EhN7thWoX2VD0vluRMD4yEK0k6SpT1RgBNORxVmD0bWAd8wzjlrICAT090aB0/mxokd9TjtyLRqVD7rATfSKCdt4JlGzGb8H/Id2jbeNRNoIEHN+UlEcVH26US9aG4e5HxsNiXXU4id/T5FObLIZJ1T7aYMcLmt+ub0euU8NoWahWEibjHiGfpSkv5MsoxLN9vigRvoj++raoLCpNJ8HrvBRaR0K9e/8ehdcys7W/9rwI62KVdIRAfTbxgaVhlRpNE1qfdyL6D5+iPmGBQqY0oFSqsNqvP4aKSKJVfN5KsBrOwvuw+HfA4nIMuZaX3IbhnVtmSla2DuKiT4qtuhRw/V0DggNdWCFqaYCLm9WyLTsx4jUpMayECOJJ71hfKuv0wv5onLCPtleEdW04eh1Xy37C5D9r4OXMynCSv6AHXCs9FdU6srdKQZZs+TEcWFWDMeV489toXtkpS2QMefDXmY6wlpNLsUMl5qFNl4EGp5ILB9ah/kOSVf1VZAXr6W8NTg//I/DVlcCZyfTXz5WFsL/aAUxpKpRUS6+rD9+SETSvC7pKg+ivU1x7wbQNKS/G68UUugC44E+L+EhZFHOKrMW2fszyprzWgZrCpcmVGOA7D1ukATQlhdQCEiryXyRSkzrLpt9YB5wk+y3V67CFZBXu+HgKARfZNBUVgLFy6RwsNV5OU1DldoJoJGm/kU3S7JoWfhhIl3WSoDJD+dR1CJvcAAVzmbELKwfQUIEXz7Z6YaD0BEFbtj3QfgMH0GcTYuhC4AIJFI1QFkT9tAW4Nrk+CuTip+Mqm5r6OS3keRwstzdkVLxD88VAZcN2jD5Z2AylEi7Tqj1v3QkNvAyvgtd/CkiRKXDRvzGaSkgrn4+l+yB/x8XqLD9ez31/cApsH6ygZbykrIA6fkG8PQdFhu2B/TlyxxCjsoaVdwRMjQyzaoMmF/ed4KOoGNSDJpkGKYy830MkNdEkG63S+rCyJQrGkiCkHcbt0W0Kj88iWtVm1olHxP1A1NImqCN5QE9OrDQUFi0Cs05MBzMSAkvCMpW0X1xpPhhDJ8zRAWftseCiT0p72hAoa1MDggNdm9o1ANpc3KxWzxmHwcnraOt8tSgG6/F3WW+tg5vmo+3bGTTOL9L8yO39nPW4uQrwq689rEHKFN6quRaVPTtxVRwm7rREIMCW8d2uynvQpXmG3j38kFbzUijkUM6wgRhKmvbRqrvQsklTzfNiOcU7d26i4tEGDJTyMS8gtczHcuRahrevDxB+kGZC9QmVtlmBdpXstMyYW+Qp5+fy6QMwxohEbf8oXB85+hLdcUuiLKLd0QF4cZaetEneCB9q+AmBFllUY4+F+7EtoR9z1thnQE6elTXf3xd4dICW84CiFg4XnSYEXGRxvaQf/jUxDQNnLsM+ExLIopSaQTz1A78CME5NAq6TsvSXFK7wknrj3jQh+CI7y4cKvNi3bDJ8jLbT05WFa0Lc92R2yHFjzpaWwGtySb9F7ollpoNwc2oD3jqu1DHMo+hv+LC6NTwld2gyqrqTIao7SR2ynJ/70d8Z+ZUfaTnOlfSHZ2cvzsuljgBbAgejVyqpgvIhT1UUHEHOhurQ5uPc6NXtUCiGtFHba9waHads4aOoP2VKjnoIs/XMPtfP+z2Dsz3Pzrh6sODV7f6o/nIBzfmV1BHFvMmerQdIWWYZs38CCjxaQ887q6wMj+nnIJWIs0xLmJB1DRy5G4m6h92QS5REJnfcCpRulXViOpjxaVsf5I0g9ywnFFVRx/skcphIdcBdOyy46JPSjiYEqtrWgOBA17aGeU6fa5sVFeV71r85WqYruRfr2B75erA/Su/AqTNod70jc0VNfAOYCWW3Nf0zU6UlQpTBwRze5hzKuLppmpXe6CXMLAZL+Wea/7aiAejRm5RD0xswLjD+FgUsKsNAeq7ZFXhWYX7HBVHUxfg5IQkWCwrDNF2Px+iWe1CoomEHYygXloE4IYpW70TZAPQY6oOyhXKpq3LezZ/uNwl+KuLY+WFdCjm8rvFOzv8RSKkE5hQFUr/RfxqWNhKeHQajdQV+9nHUllHH7L6DgCcNGfsQep8EitbUFkvd01WpgIWlgO8ka2CSrD+saw/AxMYldY+HJxxVKhU8vLciyGgkv8/Xa+oAH+7RMs6TdcStwn2xZxCzJQBPzKp1MajAC+9ZM7DCmFRLkVs5QDqK6FjrIHTJQJYMzC4CKFJprgPTRiPVqSm29OXPu5EmVRodn4zg+cwKO2klWsG4y1ZNsuEULWXyN4jnFGZgvtHoCNyq1+WUHJoGu2HdEvSLnkaT/S7NjZzerzXNhjf0Ps9xRZ7kN7Q8m/KMRZ8RRH+8EfQ/QWQpUM4qwOhzfaX+QdSozWwVxju5dSDQncUdUTH+DM3phlVTuI3iVn/5xGubYXGaBCFR1WGkXrdRJI+FDjQosFi17ySGhHdhKmLME8CSmazEFk3Jbm2F0fERNJw4lSWedbuDWs42bIGYZRxc80llWUBhAms0IDjQWWMKbgLh2mZF9ZmyWlcFRcSxtMJTGi+AabX+rDfAuYeRcN9fHiYiOcHa+wRQlBmRynpBOADwx6sbyLHVk4E0avBL2BXg7sEio9rfL6wD2wRy0bfTaiC6jprHAeuwAOK768DGhmQPURnhfs+nqOqYlwXgdA/hiW8FlMIrmnG4y2SUaWvAGTYJH4CFTIdW47Q5OOw3QCi395vlOWHuYsxNmk7/JdXYCiZTDKANwG9aaVRNWY5to1vDOX9O3f+QOcxxTXAE6lxohZLiSCJFi6VApV4clioD9C+vgKUVGF96pM7HuK7N0bRcQf7IqQdJ6gSeQXBqhgDVIVeA/DwJikv9DswuDKhI1ZxOqT4oVb0JfFvyREYdrxsq8KKrz2LskvrSnJUSU4i9Y/hVueA/6SIuAtva0LIqVKKfLQB61XPBuEYldKx9brBLTlPA128i5hiRqndKY0uIJ74CJEbcEELDKGMeBaPAftJrVaaS4PPI1yiQx7CDS3efuojO18nv66fax0cAFob5XvnXZSdPg2JmAUigoIetd16D/l07a3i1sotc7Axn5FOkq9xQOhCeHYeyCyQH0byd6YoichKMcbn4BNTqNpVbkkTeBDaQaoBylRiXOz1E3dJC1TtdGHLlIj8M/baQZvXdOB9yTiFtQHWBIUs8vrwGlpZnTNlacR96tiR3m1mix4LBXPNJsUBlAoRsakBwoGdTccK0Xxrg2ma1P+Qu2l/MEOU8KBQo6MJ6k1LlAhUra6GMmDgWZJ4BMKopZA1r2njvD/nA9j7JKnmtzI+CPk945fx6u6EXikQeplV3xKgJWk3drWlV8pKeLHghjIKYfSBFI26hmE0OXsr7L6FC57VH7cRz9LAH+VrBZajhZtjg8RFgb09aH1Sv2TY5d+LCOI9/qdIg/z5mxR4sjCO9/X4qYWoMYMTzvrw31wMnxtI2f6e0QQPlMjz2aySU3cviL4HqR5y0rQuaSG7SM1XVR0LUiLS9ySJJ9g2/uwM4Qi5LqYyBKqmrEDLeA4XzmLMPL4cQtV0ZhjUfu8BGRKpBoNt+oDgzkJJDIjGhRgQB21rT36WpJHBJXQ/ftpXR2Y2ZDcpZGfUAvH3ALuxPG8zkPPEtYGalBzRaZnluGhC2hGZyR+mEtmn+WN29IhqXFQJ4/qR9d58dCJFkcHL1Og441NaywdhJPvzIIpS5S4JOXsIejtMfGnwLgNBnMXDbWRYm6ap5KXocg8TRnZ2G1Ceq2KfAyqoMBNvqhKBHPVd9otI672fzPVHixw2az7l8feE5dJHW+fKagSwF8lkFIU3Xku+mxy5UcedYS76Ub7+CJNN9DlXfjzaNeHKGZfEiVCpV2O/XHh1FpKXER7vGyN9/D3tRq1T4FuCMXDKSULjJeiT6eHH3nZlrPin2Lg4B2b80IDjQ/6Uh4e9/1QDXNqvNm1ej95uJtEypIlOYeEcDEvb3/EhMlePUzDZoLwmh8SeU7ATLzmuFVaphDXycUxH5kyNoqnuMWqPTVH711oo64ge7uyRa8rKyHGr6hRr8JUZmllLqqjow+Uiy93fI66Ol9x7kNDXMjJILG7xRP3IZrboIk5JwnHw9M6rk55iDg4AHJBglRFEOu0suwcpulfgpr5pSjd1+GQteNmNSGXEHyOOoJmWWTz/QH3i4jwZJ9bPenG8yjo0Qqspk1XKxCSnYP3cAhkqP0lOTijWGeU8WX2BkVcjDw4B7pN/ySYUbJknG4f70hsJzO6u6zDB+yPbbGPK8H1zE6UrmtlgCVOqtJmWWTA8KBIJn02D+c34eHlYT5e156OzVkdo7rriEvXEZelwOvQbkK6UjBDpks8Yd+HCfZrhU3hoL5R0ROqEe7HMLATx/skT1wAtYlzwGZcUkwxE1RgANZ+rQeOxhdW91X5SPOUADCjOri5oTj7AHoJ6QfP6Rig9z3RjrJK72DNjUz9BaRE/4WMU2Q5DyR5UVHnS6Ac/S+VkFU9NgHqwbBJdo8m552bQeak0iiRCa5mcI9BKeh8FyJ3GWK1UivBv0DEVtubeW4mc6wkr+iTbbnqIz0ak3KdNtCPbUh4yvPyUieWl1lE6X4Jbg7gtLj9H6gJNpntEbuqNQ5DF6/ElVDTSafhISsSjTNNg0kGs+KTbpTsCSNQ0IDvSs6UsYnUEDXNusds8ZhM7J5PD53qoibEcFccauC/xGYqyKOHITrMvA0usKZ/BzAajq8yuIljHLpO4ssw5dO2Qo78kFYf6C8euNXbA+STJn3irzwXz8I9jkNOG4ZFqGHx8JLC7LYNJHMQUb/ScYrBMj7Mwe1LxKMoiTYArzaR8AsVjLxmAheVkKMM8JSPtOg/OV9YRVvREY1cCZhYD1D8nvWDhG36oPS1EyAdPrGODA88ybRWWBb6Tk+GRZPygq9MLc9vzOotHGiqPKKfv7T8Z01Sqa/HdLJ+Qcc1sb7HRPUyH/1f88kWQL+Ml64FnR7tg5oJru8fCMo+/RcNS4OQINJenWS52JQL0p/JB0ayvg1SValjXyZpit6IZwv0YwN2Z/ADFbjUAFXsx80Qp5ROR5j+4HASee9aVN/AzMowLaVLQpqBYAT01dcG+ap8GefTOzLpsuCUWjuA3wkh4iw/OWAIaTTNLM0OHLmBeBNVE89REtzoVCQ1B/AAnu4Yuc2ZHjpH9LNFUG01NfF+0Ih96k/H92aPJxjixoDoyCA2jRwhRlkHfYGZQowO/WR48Pz0fpeyRD9InIEaWm3+GjiXUmU9SuUbB7tonm91JVCEWnPeJkFbB3izxR+Bt5ruy37In2Y0hyg86UamCMTtx+gcZHq0AiIucjVZ9TEBWpwWpNJISth+U5UgUvVmWFz4MeoJQtN9upcM0nxerFIYD7qwYEB7qwQNTSAJc2qzS5Etf966C2+AEtc3TpASjUcb5aOtDlZJ9FKzDjG7nQU4iNIZn6gRMZ9LrUkzq83p+aB9vrJDOAKpMaO+A+ytjlVocs6+YqIm9DsoGUlKb6JT3s8wwViuZjHVZWAbq2CjhN+nvHqyzQymwzgidxt2+Quvp98fI5im+vwiDzffBt5CzgpC5p7s1/chzY043GTUWzV0tdDv/u9YUyp3+w5oqgl/AMaglncTQZ0WYN4Mrjfoa/CcRpkDoX3Zs3RO+aDtxb9yxA7Ld8PaZ/IpcBcpERpD4fAbGEBejUhPD8LLCzA4MI1f+8Qe1amNKUh9muaqorq9NXXnoJi/OT0EtKWpGgfHeg9YqskmLfeCr4girtKUuksQ1IG4OXuesgaFyGllbsQ89qRFTgRadbnVFK/I7gbLUCqNCd1bizDO7RQWB/H3paksoErqnrUN25ILb2dcsyOUOa0H39dfyIuIbDJtOYYnvdB6yLGpIqAJUKiX4FYQESLHnZbRVqNe1qWHr4g7R7l4xDx6/EYR6ZwwX240IF3WTQwPcdPZHzBalasEXuifY+u2Fhwu9gsHc3j6PwCfJ++V1lBsmUSJibGGb1O7V/GEoFEmY5wVLxhSa126wzOk9cozZpfRB4tXUoir3aQbM+J6kNT5/j+oBiUDy3796O7k9JO1U5JJBOiQKMWV6Z53MEsKwiw1aHax9F6/p1OGk/LvmkOKlgATStAcGBLiwGtTTApc3qUdRXFF5XGpaiJFrmxNabYFG+rVo60OXkSdsvYfZLAykXqEvFpuP1bkEdFP5OynMfl3qi2dR9/MuwSPoCzGU6ai42PA2PGtX1pHlusFVtbAzRu6s02P0Kd1wu44/FnZlVC7ghjWZQpskUSJxZGNaiHzTBFx5rUdy9k2YYcInKvj5A+EEa8TVlKXRO8/npqHDIa8ElSXSGde/NSBQ42gXukoeEZ81RgKefzjDonNHD/cCBfjTbr6ocqJi6GnsG1YSbA7+CtXSl2/kHL2PcgwytALweANZFdAVBe3z29QbCSQbjXaUT2qT5Y2mXCmjpaqs9vgZC+cDtKLw8OAMTjUiFKhSrB/TkQXnU93eBtUxHecWU1aha1hmrugttRdRZ4lTgRakLfVFPQkqbw8MbcB+vDln2zT06ErhDqp8FKVzRRzYR89q7oENle/bhZRGiEbvu4vj9KNw0GYq8ogSCrMk8oCqp3MQiyFqD8j0mAjlXMy/sn3W9jhLOJbXGk0uED+zeiHZPSdnfRJEFLKZFAyJultTVlu6/L66GnPFPaPKzxf0xadoCbbFjDd2UuLcwXeHCwPO8+y04OxVnDUYuAUl6cg7me9ozIO+rdhAdGnOzgkz02WUodMWbluexsggcp92FiZQHQcQsXli7FoxGl+8baYQxFiVRYDwH2hhSfdBnOSKX/DONfXeBceg82IfF2v4zNC75pDipYAE0rQHBgS4sBrU0wKXN6mTQJTQNzuB8Hv0YyFVILR3ocvL8M8/Q7UpjFBSRaEm0XQ+4MDOTdImJT7xUP2KhnF8CEihpsfaVWIAOXfrzSUxalh9+hZBDRZyex12Wo3nbHryUVSNCff8I1YISEKUrY9kvbSz69RuKGo55NcKCq0QezKgJFwUpy3jXaTgqdJ/FVXGyhzst8Vf5dhkJ0poq64sD4oYI92vM2b5S2VNG5mddfPoREdtHYYD0JJlkYQOMDgekPG0pcWIscHM9Le85RUUMkI3DA9+GsDQVskkyv3rIyL0336HxcTdmKwA+lFNOjgfmOwOKVFpYb1kfbFd44uLYOihmkyM76hLmpNPA5RefsG/TAiwxXkm+5UuZ5QxVcyKUBVE/bQFGNSgutBVR81ew/3YUZIeGo4s0XSuwyv2A5gvVpMyy6YtdgPi3NKgZsm7YJWmJm1Mb8D7rU11LBJ58gjUhr7DAaBXaSdJlEzs1ALqTXuDq8uHC/Oche+F8cQANlargZe4dCWMjwcFDKeXi9dvwOEUqw1HfqUaHQ5TLjgvm1Q3GTy+hWl6Z8R7uYxWIGaOG6oa/PrkolUjxzw9TpNEorrtvRVWPDHeb+sTIId6v1/eEQxSpZPBQ6fDT8cnVVoZJzy7CfFcb2gIpKiNEDXkJpwJWHLIKt6BS7cOC/BrAA7do4O8cu6Fwj3TvEiwW6c3qTigac5pGeFbijoY+pC86i6H/DzQu+aS4pFcB6/9qQHCgC6tCLQ1wabM6sHEu2r0jDp14SV5Y+USoJb+uJ++5+Q42R3vAQ0IypFHTC/D01zUUXvKLurgWdiEkcyRRZYLXfR6ibNH8vJQ3ck5V2Cc/pWU7Vmg0Wgzw5aWsGhHq5gbgxBia1A+VKdpabMWZ8Q35V6EgiwoLWdwb7vEkQ/KBVX24jCKZ2Fkkx83hjw4A+/vS2Km2CG6pK1GokD2OjajFTZl0gPpBVDzGr9iFMyakNcJPtq1XA+XjhCxeAAAgAElEQVS76ACBHlisqgl8JAEngbIuOJmrI0InMC9P9YCMsywfRn2Dcm1duIpf0TKkes6GSc0hnJXpJ/Dbm4FjXrQMaSrJz31FbmKNB9MbQiwWstPUNfDzj9/hs3gN9piQ/qIqkRii4beAPFTvZw5/9vYEHpNL4t3yupgkH4jV3SuhcdkCHBZM/9BDX8ThzpYJ8JKmO+sUcAEGhfAna/TLa2BpeYayG6fORrmKNTCvg6v+jcByBPci49F6RRiaia9hhfFSglZiAkx8DRgbTmWiO9unouLL5bQOHkjKwsUnjOUW1B28N3E/kGe5E3KKSIn7+Da7YOXaVHcg2M7p+GjgFsn2TFCZw7/EQczvahjV897OLI8i8te0lS45T0XdrhPYbjX24UtLQnJgMZipyG9tT+7B6DRyDvuwZhbRj1hgPrMaweWm51HLjdliL7PkhHH/1gC1Z1ssLw0b0Td6cHzj5bCqxo1kpA8XVqBgKGkN+0GVG5Ixj5Evl9m/hWfZCC75pFimOgFOFjUgONCzqDBhOFMDXNqsTs3uiiYpJ2gBXuWth2LDuVWe8UrEJ9zdNBrDpEdpOVSO9SHqYWCOKi39EF8uaQ6nryRDIEhSHXW9T/HWOfp8eXs4fyI9P8/kbIdGY8mLqZbUzFmy8s2tIH1zicZ/TFENkfVXYGhdA+z1ncGKwTvnoM7zAPrbd5IiKOzzgLO2zhbw3d2Ap6TfWIiiHHrKJqNfLQf4NC+dLZKGMOnDt2RUD7yIHUazUFMSTkQu6AoMDOaPI+I/yaiM4jlU71MVLWvbVF/YlK6NNT0qG4LJtSJjikyBM/7N0UpyhaYfW7o38nVcohV+OiO6oREQeY1md0pRBUNko3+W+t87yDAujbWt629JMlT3P4obJkORQ5RC2JXvBrTmRibJb3WkkAELSwOJsfSfx8kGYb+iDoLH10WRPIbjvNPGGqICL+YtWYh1xhkyzrvuBZwbaYOl7mlSzirKafX/nziVJaqkrsLeQTWEdiOZtEbblWF4+S4ad0wGQSoiFc7QeRdQ0nCco/cXtoFrwkVaa6HWbVDba3Mmtcj/YUqlCvf93FBB9JwW9mX5iXBqTRwc/NfCXyRM/AwsKg3IyTN6tbwFEt19MLZhCYNQzcNFrVDuG7mHCM7TCXVGrDUI2TUpZOzVnch3hgTXKlQihDQPQb0qzBL5muSpdVoqFX742zEqS55yWYImbXtrnbWhMjh/5SYanG3AEF814g5EHAm8VcQ+g2SlGwP/pUZnUbd6Vc6ZlEs+Kc4pVwDM0IDgQBcWhFoa4MpmJVco8dS/IsqKSNTm6/Lj4dCa9IpRSxE6mhz1NQmB8wIZUexKcxuIJ7zUEQL+slGlfocs0AHGkNFCHi3mi5Y9ycUR36R/smM8Sr0gL15XpG6o4U0c6nyTVy15kr5AOa84xCo5TWa4zAvTJk5BPktTtUjzYfLdsDOocK4jLYpMJYHE+wPERjwtwZ3RaCkJv8q3pyuzPF42EIdRD5fG10MhK+5F8+pqXabJlXD2PgVP8a3/dUT0PQMUrqYrKLrh8+IcsIP03UtVGaFc6noMbVBaKKmspgU2BwxG77RdNJX3NjVhOyxdawA16et8+pdXwNIKDLYD0sbgnLIy+tZ0wLQWQmCOJmxClWEs6XMao7ADQ6TpyheKJMCI20BuB02w0T2NDOXbKQB1UhcizqgQHvk2EqoXqGkRKvCiov8pnDceBwfxR0LNtgIwIIgfwV8ZKhgcVtTAYssJCBpXl7fBxWoui/+ZfuLBBwzbeQe7jWegmpj0bkal3kALjgd4ZUFZkTPKwF4RRc8IKeED9y7jskCB/0PPzekEz2RSUvdJ/uYoNWQH/wXPjITBc4EgUkmSes+slboEY9vXRcfK9pmhwPkxdzaNQcW3G2g5bplUReXJZzkvl64FyJgwcxUuqOQdDGOpWNdQNMrvzdyaKJpEqpudLDAUTQcHapSHQIxo4PC2pWgdQXqGfxdbIqfPO+6c/VQqxM9wgJXyKy3U0aJT0LL3RM6ZmSs+Kc4pVgD8PxoQHOg8WhTv3r3D0qVLceLECVD/NjExgZOTEzp27IihQ4fC3Nxc49JyZbN6FvURxdaVgpFIQesgodNhWJaqp3GdaJOgQqlCY+8NOGc8lslm3AsgRz5tsuY97aiwPbA7N5CWk3oxe9rjLso5FeGt7BFnV8PxCjkkvVTZwdH3kXAp9juL390BHCE91qjeUuMdDmFZ79q8XR9ZESwuLg42K5iZ+B+6XEDBEgaSUXt/N3BoEK0yqsxy5dRVaF61NALalMuKKg1yrKvfWXxPTsUl49EoLI4jOijdGui4hT86UamAfb0YJZWvK0uiU9o0rO1RCQ3LCCWV1TH2ptVz0SeGXLB+MbZF7inpHBbqENfH3KAAIJiUlPysyolqqSsggxSLOrmiTQWhN6qmzOI+NwiJXz4g1GQUzEWk3zwq9gRaLtMUG93RSfwELK0IpJLSkneVTmiT5ocKha1xaGhN3WHhKaf/Ai+aKS9hofFqppR8yEJXKqCa5whRMrlcpQIDi9QfiOEezFKxPDWxRsSigvjrzLuEpt/3YarRTkLTshAwOpw7l+1qaEOekghRYCFIRKTyzr1GB1C+OjN7Tw0WvJh6Yt10NIteTMvy1sQZRSbf5IVsagkhSwEWlwUSyfvBAUUtjJUNxe6B1VCtWB61yHNl8sMTq1HuJrm3eQtbFPHl8BlXD4pX/PgE1XxnSEHuhA8V8UabPqSFox5gaYTl49U9UTqGtOwJMmuIehP3aYS2QOR/NXBqXi80SSTVbCOsasJxFLeCtp8vbwfnT+dp4YJMPFBvMmnJyBW769InpQ+fG1fsYAg4BQc6T6xMOc27deuGb9/IRUl60UqUKIGTJ0+iWLFiGpVYl5uVOsCDzh1FvTDSj0QBMSSTIwGTHOqQ1cvcenPP42RiF5iJ0gj/NmsB1056wcMXpuErOqNM3ClanJtiV1T2Cea1MzkuPAg2+1rTMlNO4aTxUcidQ8iozriuEza2g+U7csA8q6gEabdd8CiZny8/AbXkoC6SP/gVhy3I5cYDt3lwaUqCUtRiwPbJOzoCL87QKC8oKmCw8leWlp215oPX2K6OrOKrv+ASIuIS0U9yAj5G6bJtqAzQUQ+AXDxxFD7YBxzsz1DPEnlbLJK3R+iEerDPLayVrK6d9OP3Hj2KjnfIWU8JMcTeHwGpsTpk9TNXqQSWugLx72j+m+SN4CfvBUtTKUIneiCXmZF+sPGQa4fVV3DzzVdMke7AQClp9wSxFBh5F7AqzC2pj40Cbm9iYKZaRdxROaOLW2EEthUCuzRh0NpzL+L9lx84ZzwexcQxhCQfstDf3wXW1mWoqUbqMuyf2AG2QlWdLC2ftSER2HPqAi6YZHDSDL4MFOD/bzHyURjs95Ny9UqVCF+9IpAnt2E4PjO7WC6e3AePG+SMmApjmEyLAcSSzJLg57jbW4BjIxmyNUkNRIyZE65Org9TI8PQz7sHwSh8sCWtByrZI3ViNHKYC1XOMrvwX55YAqeb0xh3X6/73EOpotx/z3xyIAClHpKg24ciZ5SbLgTgZHZtZGUcde/10K8KXPCCnva8jBecO/hnhYzex0acWATHm740jmhVXuSe+hxmxtzaU3Xlk9KXz03vC0UAQGtAcKDzYDHcv38fNWrUQFJSEnLkyIHJkyejXr16SE5Oxu7du7Fu3bqfUpYsWRLU5kKN0dRHV5uVunjPrPNGo2iSQRJpXAz2U+6qS1Yv83tsuI7Rb4eiojhd2XbjnMCAC4CNYfSA0rTiVfI0fJ/pAEv8oEmfKjwWTfqSA7amebKBnjw+GtLFzBKwT7pcQ6kSpdgAjz0YqPL+s4vBSEWCVnwlI+E9xQ9SCbfLfWlSyXcCPVEx9QZN8qZdL1Tpv1STLNhJK+nLz2h2kZK0fxiVNhRmlbsgsC2H+6npUNud117FtVdfYIlEXDUZDov0GaC1RgMNyMudDmFpltW3aGBVdSCFBDp+UeVAw9R5SDXNgwfTG/I6YEuzyvw9tUv3X6LuoUqMP6qG3YCIi2ejN2HAZmZ/3OapM/FIVQxz27mgYxXDKFmqi3VD8aBKLFOllm0Qj1ATL5iKyH6Oyn2B5ot0BUV9Ph8eAGvcAZBsT6r09ijZ8J+0/VuVQc/qRdXnI1BA+1VXcOvtV7QRh2KR8SqmRrrsAUo05q6WQhcCF/xo/BHKgvAtsgXb+nGvP6a+jfAtWYbqgedxGiOYVXY8fAB3/pcxv3t0BSrcIb2836EACvs+07dZWMc//MVLlNnBPMMkDboB84IGfL9DBROurAp8Ir3hQxVl0UM2BfM7uKJ9Je47PjO7EFMSPsN0ITMZ6nmHS3Auw2z1k1l6hjju1ZyaKJZMypwHG9VGnanHeaGKyBtHYH+yJy1Lgsoc0invYG4iBNtq2sDvYr8i/wonmIhIa8dPbfcir0sjTbPSKr2kqIcwX1+LweNu2xBUcHHVKl9NE9eFT0qfPjdN60ugl30NCA707OuONTMpZ/mlS5cglUoREhKC6tWrM7DNmzcPEyZM+Pmdn58fpk3TnFNQF5uVJhQdFtgCNVNDaFKPCrRB2cGbNUFa5zSmHHoI2a2tmGdEelf/BJG7GDDgImBmrXNMXGcYefs07I8xM/gfdLgClzJluC7a3/GrVEjxywdTEMfwNfetqObRit9yZ1G6tHt7YXx4AD2LivheW/UshjU1kPLkmdTX5dXDUStmGz36gXk1uEwgWdmZJMO9YXe2AkdH0LipntZVZatxbFxTIaM4k9Yct+8+9t/+1RvTX7oJPaXnyEzqmTbmCWDE4QwLqnT7tjbAqyCGRoakeeGUsiqqOuTGnkHMs1smVScMS6eB6PhkGC9yho0ogf72c4styFOJVFrhjMKODAfukv30ubIQGqbNRfViebFzQFUh2ELDhvQ/9hgbw17/pDpNuhV9paQPLcRGgNc9blTCoPaazc2Bt5dpDSWpTOCROh8x+JXtuXdQdbg55NawBg2T3LAdd3Di4QdIoPjfLPSC5YGBlzhbojtlQ3OYRobSht0i94R1h6Vo6WprmMZWU+rpRx7B4aYfektJz2JFITdIBqQ776jJg63Tb64ejCoxu2h4t8xrofKEdJU+2Apcx7hSZAokziyKPOnOMBEeq+Ho3kXHSFjE7vkZYGdHBqCeaRMhcmqAzX2qGNxZ6KuvPaxBzrg3qq+EW6NuLDIYe6F8j3mJnKuZASrnXJfAs01v9oLOArKU2NcwXVmeMeN591twdhJarmRBjZkaGnbpFGpe6kyPVUIE0cQ3EJlZZWo+awYplfg2owhyqciecr6ELxp0Gc0aiJkBoguflD59bpnRgTBGNxoQHOi60bPWuKTfLAYNGoTVqzP0YAOgVCpRtmxZPHnyBNbW1vj48SOMjDQTiaaLzUpd5VF9w2P8iqOQiJQWfuoWgJJNh6lLWi/zV12KwJzTT7DYaAVaS64wMTh6AF33ARKpXrBxlendNQNR4cMeGv5jkSNK+tyGWCziqkiZxv1upisKy9/Q44NLTkedzmMyPd8QBkat7Qi798QRHKx0QbFRZwTnaAbjXzuyGtXukt5sMSIbFJierlIGTxdL2qaWMH4bTEt3WlEFl8ovxOx2QvZ5Zk1+++1XtFv163nmKIr+3zKnLZYClXpllhz7xt1YB5xkZpkdUtTEaNmvc0jvGkXh25LnAVs6sApVUu+OXzVUwlOa2wvXiSjehmS+6QCG+izSkn5VtUj7TtOaLeuMTaLWOD3KHQ55LdTnIVBgaGB1cARmn/q1bvLhKy6bjoIx0mWhuw0Ems5jv9bCDwP7mHvlAll7LFO0pbHfn95QKP+vIUv6HQvHprBfZ+jfZ6HvBko00RA3HZKRJUMeUBjSdJWXvDAOc6ZOMZhyyZrW9utPifBduARbjEmJXRV16T4+ArDgdynz8MC6KJNKKv9dthuAWv3na1rFvKB3b0YtlFc8pGW55zQU5bsH8kK27Aih2NgMknckIOyp0h7tMA9nx9RFIQNsJfEsoAZKpIXTqrxcbBRq9SSVQrKjY0OZc3+HN1xfkIqkX1U5oBzzFHly5eSHCpRKJPsXgBlSaXmu196EqvXJ+Y8fgupfivMbp6PBu8U0kCijorCbel//wLKB4PGilij9jdxjXc7RCLXG7c0GJf1N0bZPSt8+N/1pVuCcUQOCA53ja2Lq1KkICAj4KcW1a9dQtervy6rNnj37Z2l36nP27Fl4enpqRHJtb1aaAPn6TQQcNldkkPrSKxi5HZgReprgpQsaVIlJqtSkCdKwz9gPLuJfGTP0p/pwoNEsXUDhBw+VCrH+Tsin+kTLc9F2IDwGcuCiVAMWeLSgGcp+Jy+mIfl7wH3Icg1Q5gkJWTJSAorCVJVCC7TBehT6eQkvqxkt/PzBdTgfbMj4OnH0a1jk4nGm2484KOc7QwwlLfdI+UiMHzNZCLDI4haw8fJr+B9//HPWFqPZqCN5QCjkKwMMCeNmJt/nCGBVTUCeTMsTK8qDBsmBSMCvljpz27ugY2WhJHcWl8xvh1+c0wEeySTDL7xgW5QZxOwFrQk+WqXxcD9woB/NguoXWz11GXo3roEhdR21ytpQiR+6G4XRe8jl1xyzreikSpeFLjEBvO4DlgXZqyJZMrDcDfj2jsaYZFYQFb4GguqlS31sc5niyuT67JWBY8io3tYBJ38FXlBZ6GeNJ8BR/IFIUdAVGBjMuWeX8mUQxNtJ5Q6FSoQAl1PwaSdUSlFniQ7eFIaFb9rAPF2bGmXrNRCXJ5ls6tBn5VyVCl/9CjOzZqsuhVsTDgdFalHRIUv6wP3rQZrDg1wecBl9SIscWUz6/V1gbV0GwHGyQXBtPhQ9DLQNya2lXVH5C6necNWqBaqP2s5iI7IEmkqFqJnlYKeIpAFdsmyJumNIpSeWIFULxutZleAgI8kLIU4T4N59qlo0hcn/q4Grc1qiejJxOj/I1xIuQ7m5lh4emI1yD0mQVhTywXbac04lkmnbJ6Vvn5vwG2SPBgQHOntskS0k7u7uCA0NhYWFBeLj43+Wcf/d5+rVqz/7pFMfqoQ7VcpdEx9tb1aawHjt5FZUu0HK6ybCFBbT3gNiiSbI65zGw6hvaLH8l8OzAD7jmIk3bESkp+rPP7ReDZQ34HJfWbBKZPgV2O9jZoc8bHUG5SpUywIV7g69tXYoKr/fQQtww7wO3CYc5a5AGkYec30/CpwijgzqEvFi8zB4VhGyRTOqOiUlGZLAQjASKeg/PW92AM5VGmjYKuwh9z10NXJeIFn3VKncgDLHMLOj0CM0O1ZaduEFFpx7jrrie9hsPJdJotcxwIHq68uhj0IObGwERN9igO6eNhmXleXo746PqIWyhXJxSDD2Qj23ZiI8P5BqTM/NysN5IrnkYC9ygixxQytYRF6ivwhRlMPsvIE4MrwmjCRiLojAOYxXXn5C1/XXadwF8RnBJqNgnO55hmpDgcYszgQMngcEzWTo/pBTAEY/Iv3OPUrmw8beVThnH7YCjoj7gaZLQpEq/xVE11p8GYuNVzLhduFeFnr0vvEoFE5ahd1ROkE68AJc7DhWnpRlC4faZxK3dISn5DaNLMa+GQr028kypJqD8+XjO+ReRc47FOW33UJRpLhQpel3Wg7ZNRfuz0gixDtJYRT2IRnpmrMM+yl93tIDeV6TO4mPKiuMLrgV2we6c8q5o0lN39jmA7eIpTTJR0blUHYqSYTQJC8+0YoMvwr7fY0ZIt3w2AU396Z8EhN3F3dAhXgSRBxm3Ro1vbbwSkZ9C0NVO3tPVbcFqW77qNIMlG0xUt/QssX/44tbyL+DGVj7pscNFHUskS16+pikbZ+Uvn1u+tCpwPP3GhAc6BxfGTY2Nvj06RNcXV1x7969P0rz9etX5M79KwuwQ4cO2LtXM2U50m9Wu2f1RRE79vVFM4u+AtdUcnn9xLQ8Sk3i1mVqesN+S5LB1Z8cjCqKnmOv6SxIVaTUpFxsjDtF+kEp0kypfo7/TP4K3yzmBlyTrtFj3qEA7HyeQGwgl9S3989DpUfkwvUDbPC2mBB88d+CyBN9AcVTSam0mygDF+9QmEi5GYCj7d/ya/9ycFCS7LfbOetBZsO8ONM2Bl3St4s8BjsZqQJyXFEdLqMOonAec13C4A0v6qWUKqO8NuQlzhuPZ2TyfchZDm9t6nFK1tyJL+H88STzwsamPTpGknJ6UrEIj/waCWVxNWTZkCMb4X6X9G77hhx4Uqyvhqhrn4xIpUDl16sgSVfVYrRsKPoOmYRydkKQhbYs8D1FhiqzziNFRqqJzJJuQDfpBZqlXGyCW0UHAmBjex8VKr1ZByMlqZbzPldF9FH54lnsD1qGoXUdMaFxSW2p0SDp3nj9BaP33EN0fPJvs9C/mBfD8wLNOaWbom/3oYCCZNLvMOmErpPWGFy/YU0bjTrjLJ07FV7JK2jSP0QWeORAAnU1zVPf9ETfIlH1M8mgpgJNjX3e/zHpQ9949c3//pWzcD3bgTx3VGLcchyub1g65/+7s9ACRWe09Vpo0G1s7p/bDtcw0obyGyzwpBh/9w9NLTyLD1dRLvkmTS4a+ZDP+ymMeHafc2vrFFR+RZ4vb0WF8MGhnabUKNABoJClombkGoYuYroFoUBxZsVbzihLqUSCvz0sQd4Vrls2giov+x3ozo0HI3e+QtC2A13fPjfOrCUDACo40Dls5JSUFJiZmf2UoFmzZjh+/PhfpcmRIwcSExNRrVo1UBnpmflERUX9dRjltG/RosXPMZGjc8DOkv2ZMddte6LqQNL/htIj9UL7pw/VL/6/zH6qn3xqKukr87s5JiYmEIt/6UEul0MmS9dDMcMEkUgEU1NT+ltqLDXnTx+JRAJjY2OU8z2D7ylkXAfJJcwzIpkCmbGtMOb3GgjN2xmV+5GeNtSo7NrpPw7UmqHWzp8+1Pqi1tl/n+RkUur3d3OoNUCtBeqjUCiQlpb2V3P+t09QgzKusRfXjsMluL+wHDKpgdP2Y9C43/Sfo3Vpp4zwqD2G2mv++1BrgFoLmV1j2tr3bi1og8rfL2ZSm/wbtrHQDHTpPoAWjK120ubzSd19j3oe+514DpN7G+FvxK+o+QhlQTRLC0AKyG/XOZ8FjgxhVizQxTlCXTv96deryedTdva9Z49uovyJX+dSPnx+qEyxstJJeDUqy9pzRHbslH5OxjOQtp5P/9r3wiI+w+foU3xI+HXOtxPFIch4DKOqClfWFFX2v3naLDxWkexzCvv8dmXQrGz+n2IIzyfNnctTlSL4HX+KQ3ej0Up8GUsyZqFzZeH8Aedhl9Vo1ORXSXfh+fR7JWX293T62j20CWZmQnJ8eWQJ/jNpCRQe+/dEBn2fI/T5fIqNjYHtWqHKWcZFlagywa7qx9Gtzu+DstlyjqBwa/PeKPrFPTgdNNz9I0ubzV8GB+fviap95mXrHpbN70+Pg3ah0g0SRKwpfQl0/qyBHzCDeNwLiCS/rwT8t3tYtrw/PVvWFuWTrnDOzM9an0ThEhVx69YtUFni1OfYsWMoX/7vrXrt7OwyLasufG6ZBiMM1LsGBAe63k2QfQBxcXHIly/fTwKdOnXC7t27/0osf/78iI2NRdmyZfHwYeZKQVEHwMx+uOJAP+/siwZdycHizJkzoDbGP30qV66MQoUK/fwz5TCjesj/7dOwYUM6sCE6Ovrnhv6nD+U8b9SoEf3nR48eISIi4o/jbW1tUaVKFTRbGorw9wmMcdOlW9BHeiaz5hLG/UEDu2y9YZ7fmfHX7NrpPyIhISGgqkD86VOmTBk4OTnRfz5y5Mhf7VO7dm26osSXL19+tnH426dVq1b0n1++fInwcJJRnZYQiw4R44T1kEkNvO55Ew7Ffq0PXdopIzxra2v6oEj9jYq8fP/+/R+lcHR0/Ln3//fR1r53dfNkVH+ToXxpJnXL9WHfVWY4UHIZrM1/9ZqlPmy1E4VNW88nTex7ShWw/0UqVv0YCUvR3wOKuLJuqPYP7dL8cE9F9noKe+W8SvQoznTk6OIcoQk7/U73mnw+ZWffk8vS0ObhAIhFfw6M5MqaoXCekHig3sR9uHXtCmvPEdmxU/o5uno+ZWbfkxqb4Efe0lh5KQJvPydhtnQtOktJOX2urJ2dcg9Mkf9vcOQkVzkK/n+BFOH5pPlz+bH77+F98B4OqsYwe6FzZeH8BieVMXy4zCpYmPy6HBaeT783ZmZ/T1SRi7L3vFFSRKo1cXh5ZBn6Devm+FC041/n6fscoe/nU5U7o2Er+pxl3fJ5wkFJY6BcV0j+cDXJpnOENu+NlHIZWj7oDwlPzrj6WrO7igQit61jtu5h2fz+lBL/Hp1eT9KXWg2S711RGbwrT9r5ZVTC3+5h/6+9c4G7dKr3+BqMMRNmIpRrRRORIddcpkY3JyZOmigUJY7QcYmMlES536pziCSRokiNSRJyCZFwCkVEMyn3+20OM+fzXXPW65k9e+937z17P/t5nv39fz4+r3n3s59nre/6v+tZa/3+67+KMn+a89dfhm2fKd9RMue/8ethsdeuGO6+++5w0EEHtex/zTZP1t4kD82t5YJ7Yd8JKKD3vQk6L8CMGTPCyiuvHG+w8847h+9///tNb8a1fIcBJiJaK1Y1Af2pOa8J92x1UVh/w1fPt+6VkNTKQl2nA+wTL787fOOKe+ZpwoXDK+HskUeHzRZ+VRxtpY295lUCfw5vCndNOGwog0D6pNN2KvIAO5Vtzuw54e23fzGsGppnm9BPQrhx1CZh46mXDqFQQH/VK9KC6t/uvDmscv77KiNeteP300ZtHWa/bd5FwVYXVNNzBmUBiPoOFzj0yuwQXrjj4rDjyxe10wyFvfaUlz8cTnr5I/OV71PjXwkTlp5X7FWgqN+Mrf49rXjbcWG9Oa0FihbWYUIIs+YsHO744DRwKuwAACAASURBVE/Duhu9KxQ5EK8oC0CN2rKTv6eXX5kdpv/xn+G8X1wZvvPSgWGJEgXyPDpnyfCBl44Jj4V5U/4vu9icMHWdV8JC/y9AtPr35PupvYDJux74Z7jgnFPDYS+fUuTupeWyXTbyfeHFtXYeur6Tv6f05VYDxcswf1qQfu/Fe38Ttn/6uy23QZUuvH3iGeH+Z17NwlOvboMuoC92x7nhA7Oab9iokk8MVxcClK/b4NQw65XGmS4Haf600h2nhHfMumU4bH7egMBNC00I/5xwQNx93slGpiK/n8h4ue7tU8Mbw6tHsOgIvSVw0dhdwsJv3qLhQ8ogoM967omw5V8OLtVcB+B5COh5aG699VDv3k0CCujdpJnzvfKIhmknhfv0AzYKy79uifoURowYOjEwLhM3SZnOx1nhfu6lzXYSjQjZjfKNrn9p1GvD2ImfDauuvek86bL7lSoy1bOTFO4s7J1x7d/CzX97NLzCVr3/t0Vnvxi2fub8sPKse8OIyKyWzTA7sgrQTq86UG/LjtOkIGaoPL/Em8IK79snLLviqvP5cC9TcfGwfqZw5/kPz7w3PHjpsWH08wy2W/t76lc79aPvoK7PLrVWWGPbA8PSyy4/VHVTuL/qBdmUnrdecUF4+dbzwsiXn2v4VuxFH5+XT9aWfc6IhcKzy64XJnz482Hkoq8eyUF5Wk3pmco+KCkIW+33Zr38crj9wuPC4g/dFBYKs/s+jujEx14ZsUi4c/Q7wlVLbMPgJh4ZwwLHoossFLYY/7qwzYTXz3eurCly63cdrf49Pfn4w+FvF38tjHnm/prxYXfHQLXjiG6+n2aNXCIsut6OYZ13zz27sMhHwdS2VqvtVIZ+76WXZoXfXXdZGHn7uWH0rMfrOGaxxkxPLfK6cPmS24UHF10l9jNpl8XrlxwVPrPZKmGFcXOP/vL91NujlV586aVw+6++H0bdMz0s/Mr8Wc7KMQYaEZ5Zdr2w5jb7hdFjXp3f+35asPdTXNWYPTvcesmpYczfrwoLzZ571NuwO6LanKP38v3UyVxx9sKjwuzVtw7rT97DI7AyLlTv7+mlF58Pd/zk62HM438KI+bMm6GoHH1H/b+RTsr+4qilwtjNdg9vXnuzQhxVRs16dURjojbceO/5Z54I91z41TD66ft60nd00k6p7O2v2+Y7Ln/utWuEVbfaL4xdeu7cq5N12FbbqV/rew/NuCf889LjwugX/pX5QyzWWLVo76d5tYTWfHL2iEXCSytvHtaevE8YsdDcozXrWRlSuFPue2+7Ojx34/fCqJcy2U/aHHfk3XeM+/AJYbmV3tLTFO55aG4NnccPCkdAAb1wTdJ6gYpwHgNpgzfccMNY6JtuuimmF9ckIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQk0E0CvdSkiqC5dZOV91owAgroC8av799eZpllwqOPPhomTJgQbrvttobl4fzlpZZaKn4+ZcqUcMEFF3Sl7L3srLpSQG8iAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCRQegK91qT6rbmVvoEqVAEF9JI35sSJE8O1114bXvOa14Qnn3wypoKuZzfccEPYZJNN4kdf/vKXw+GHH96Vmve6s+pKIb2JBCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpBAqQn0WpPqt+ZW6sapWOEV0EveoIccckg46qijYi1uvPHGsNFGG9Wt0dFHHx2mTp0aP7vsssvC+9///q7UvNedVVcK6U0kIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgARKTaDXmlS/NbdSN07FCq+AXvIG5dzxJJrvscce4bTTTpuvRrNnzw5rrbVWuOuuu8K4cePCww8/HEaOHNmVmve6s+pKIb2JBCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpBAqQn0WpPqt+ZW6sapWOEV0CvQoCmlBOnbr7nmmvDOd75znlodd9xx4aCDDoq/O+yww8JXvvKVrtW6151V1wrqjSQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABEpLIA9Nqp+aW2kbpoIFV0CvQKPeeuutYdNNNw0vvPBCWHzxxQMpJiZNmhT//aMf/SicfvrpsZbjx48Pv//978MSSyzRtVrn0Vl1rbDeSAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIoJQE8tCk+qm5lbJRKlpoBfSKNOy0adPCTjvtFJ5++um6NUI8nz59elhttdW6WuM8OquuFtibSUACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJlI5AXppUvzS30jVIhQusgF6hxn3ggQfCKaecEoXymTNnhkUXXTQK5lOmTAl77713GDNmTNdrm1dn1fWCe0MJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIIHSEMhTk+qH5laahhiAgiqgD0Aj97KKeXZWvayH95aABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEiguATWp4rZN1UqmgF61Fs25PnZWOQP3cRKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhgAAmoSQ1go/epygrofQJflcfaWVWlJa2HBCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEiguATWp4rZN1UqmgF61Fs25PnZWOQP3cRKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhgAAmoSQ1go/epygrofQJflcfaWVWlJa2HBCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEiguATWp4rZN1UqmgF61Fs25PnZWOQP3cRKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhgAAmoSQ1go/epygrofQJflcfaWVWlJa2HBCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEiguATWp4rZN1UqmgF61Fs25PnZWOQP3cRKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhgAAmoSQ1go/epygrofQJflcfaWVWlJa2HBCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEiguATWp4rZN1UqmgF61Fs25PnZWOQP3cRKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhgAAmoSQ1go/epygrofQJflcfaWVWlJa2HBCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEiguATWp4rZN1UqmgF61Fs25PnZWOQP3cRKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhgAAmoSQ1go/epygrofQJflcfaWVWlJa2HBCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEiguATWp4rZN1UqmgF61Fs25PnZWOQP3cRKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhgAAmoSQ1go/epygrofQJflcdee+21YeLEibE6Z511VlhzzTWrUjXrIQEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkUBACd9xxR9h1111jaa655pqw+eabF6RkFqNqBBTQq9aiOdfne9/73lBnlfOjfZwEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkMAAEmBT5y677DKANbfKeRBQQM+DcoWfoYBe4ca1ahKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUiggAQU0AvYKBUqkgJ6hRqzH1V58sknw8UXXxwfveqqq4bFFlusH8Uo5DMfeuihMHny5Fi2adOmheWWW66Q5bRQxSGgzxSnLcpUEv2mTK1VnLLqN8VpizKVRL8pU2sVp6z6TXHaoiwl0WfK0lLFKqd+U6z2KEtp9JuytFSxyqnfFKs9ylAafaYMrVS8Muo3jdvkxRdfDPfee2+8YNtttw3jxo0rXgNaokoQUECvRDNaiSISmDlzZlhppZVi0WbMmBFWXHHFIhbTMhWIgD5ToMYoUVH0mxI1VoGKqt8UqDFKVBT9pkSNVaCi6jcFaoySFEWfKUlDFayY+k3BGqQkxdFvStJQBSumflOwBilBcfSZEjRSAYuo3xSwUSzSwBFQQB+4JrfCeRHwJZcX6eo8R5+pTlvmWRP9Jk/a1XmWflOdtsyzJvpNnrSr8yz9pjptmVdN9Jm8SFfrOfpNtdozr9roN3mRrtZz9JtqtWcetdFn8qBcvWfoN9VrU2tUPgIK6OVrM0tcEgK+5ErSUAUqpj5ToMYoUVH0mxI1VoGKqt8UqDFKVBT9pkSNVaCi6jcFaoySFEWfKUlDFayY+k3BGqQkxdFvStJQBSumflOwBilBcfSZEjRSAYuo3xSwUSzSwBFQQB+4JrfCeRHwJZcX6eo8R5+pTlvmWRP9Jk/a1XmWflOdtsyzJvpNnrSr8yz9pjptmVdN9Jm8SFfrOfpNtdozr9roN3mRrtZz9JtqtWcetdFn8qBcvWfoN9VrU2tUPgIK6OVrM0tcEgK+5ErSUAUqpj5ToMYoUVH0mxI1VoGKqt8UqDFKVBT9pkSNVaCi6jcFaoySFEWfKUlDFayY+k3BGqQkxdFvStJQBSumflOwBilBcfSZEjRSAYuo3xSwUSzSwBFQQB+4JrfCeRHwJZcX6eo8R5+pTlvmWRP9Jk/a1XmWflOdtsyzJvpNnrSr8yz9pjptmVdN9Jm8SFfrOfpNtdozr9roN3mRrtZz9JtqtWcetdFn8qBcvWfoN9VrU2tUPgIK6OVrM0tcEgK+5ErSUAUqpj5ToMYoUVH0mxI1VoGKqt8UqDFKVBT9pkSNVaCi6jcFaoySFEWfKUlDFayY+k3BGqQkxdFvStJQBSumflOwBilBcfSZEjRSAYuo3xSwUSzSwBFQQB+4JrfCeRHwJZcX6eo8R5+pTlvmWRP9Jk/a1XmWflOdtsyzJvpNnrSr8yz9pjptmVdN9Jm8SFfrOfpNtdozr9roN3mRrtZz9JtqtWcetdFn8qBcvWfoN9VrU2tUPgIK6OVrM0ssAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAI9IKCA3gOo3lICEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABMpHQAG9fG1miSUgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIoAcEFNB7ANVbSkACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpBA+QgooJevzSyxBCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQn0gIACeg+geksJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEigfAQX08rWZJZaABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQggR4QUEDvAVRvKQEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEAC5SOggF6+NrPEEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCTQAwIK6D2A6i0lIAEJ5EHgO9/5TvjMZz4THzVjxoyw4oor5vFYnyEBCUhAAhKQgAQkIIFCEfjKV74SDj/88FimOXPmFKpsFkYCEpCABCQgAQlIQAISkIAEykdAAb18bWaJcyDwm9/8JkyaNCk+6bDDDgssyGgSqCWQ9ZNW6Jx11llhl112aeXSlq5RQG8JU6EuqvWZxRdfPDz00ENhzJgxTcv5wgsvhNe//vXh6aefHrruqquuCu9+97sLVT8Lky+B6667Lmy++eZDD7366qvDxIkT8y2ETysUAfuYQjVH6QvjeLj0TViYCuThSwrohWnutgvieKZtZAP/heeeey784Ac/CD/72c/C7bffHh599NGwyCKLhGWXXTYst9xyYcKECXGe9K53vSu84Q1vGHheApifwFNPPRXOPffcMH369HDnnXeGhx9+OIwcOTL6zwYbbBA+9KEPhY985CNh4YUXFt+AEaidT22//fbhRz/6UVMKrPOdffbZ8RqD+AbMYf6/uo3Wh+lDllxyyTB27Niw0korhfXWWy9sttlmYfLkyWHRRRcdTFjWWgIlI6CAXrIGs7j5EMhjkSefmviUXhJQQO8l3Wreu57PsPjz8Y9/vGmFmbB97GMfm+caBfRq+kg7tdp9993DGWecMfSVT3/604HAGm1wCdjHDG7b96Lmjod7QXUw75mHLymgl9e3HM+Ut+36UfKbbropIGjdf//9wz4eMfRf//rXsNd5wWARYL508MEHh8cee6xpxd/2treFb3/721Hs6rZ973vfC7vuumu87d/+9rfwxje+sduP8H4dEqidT40YMSIG6rz97W9veEcF9A5hV+hr7a4PL7PMMuFzn/tc7IsIANMkIIHiElBAL27bWLI+EshjkaeP1fPRXSKQ9ZM999wzfPazn216Z1Ksjxs3rktPD1EoM4V713DmcqOszyy22GLhxRdfDFtuuWW49NJLmz5/q622Cr/4xS9C+g4XK6Dn0mSFfchLL70UsxI8+eSTgUwGzz77bIxsZpFw9OjRhS23BestAfuY3vIdtLs7Hh60Fu9dffPwJQX03rVfL+/seKaXdKt377/+9a9x917KypV2CY8fPz7u5GMnOkLX5ZdfHudKSy21lAJ69dxggWp04IEHhuOPPz7eA9Fqhx12iLvNV1lllTBr1qzwl7/8Jfzwhz8MV1xxRbxm1KhRcac6u9G7aQro3aTZ3XvVE0L//d//PVx00UUNH6SA3t02KOPdmq0Ps1bzxBNPhP/5n/+Jfcuvf/3roUwFG264YbjkkksCgromAQkUk4ACejHbxVL1mUAeizx9rqKP7wKBfvuJAnoXGjHnW2R95qMf/Wi44IILYlq4mTNnRjG0npFOboUVVggvv/xy3G1x/vnnx8sU0HNuvII9Dt/BH7AzzzwzsPscY8GHhSBtMAnYxwxmu/eq1v0e5/SqXt43fwJ5+JICev7t2o0nOp7pBsXBuQdjX3wG++53vzu0g7cegUceeSReu9deew0OIGvalMB//dd/hb333jteQyrladOmxXT/9Yw59yc+8YkoqhOc8bvf/S6ss846XSOsgN41lF2/UXbM8rrXvS4G5mC33HJLeMc73lH3eQroXW+G0t2wnbHuHXfcEXbeeedw6623xnqS5QJh3ZTupWt2CzwgBBTQB6ShrWZ7BNp58bV3Z6+uEoF++4kCevm8KesztN+hhx4ad0WceOKJYb/99qtboVNOOSXsu+++8Ty2r33ta2G33XaL1ymgl6/9u1nilJWA1IJMwNZcc814ft+//du/xWwF2mASsI8ZzHbvVa37Pc7pVb28b/4E8vAlBfT827UbT3Q80w2Kg3GPV155JWZbev7558P6668fbr755sGouLXsCoEHHnggrL766jEDHNm7EK5WW221pvfOHqO21lprxd2jpPPuhimgd4Nib+6RHbMcccQR4cgjjwxkS9l6661j0EU9U0DvTVuU6a7tjnVfeOGFsOmmmw6J6CeddFJc99MkIIHiEVBAL16bWKICEBjuxffPf/4z/PSnPw1XXnllTBH24IMPxt2hRCcymeM84ylTpoSFFlqobm2y908iGNHRnK/EoJz0LiuvvHLYZptt4nkopB7TikdgOD9ptcQ33nhjTMd+9dVXR19iUkZE9Hve854oqq666qp1b1UroON/3/jGN+IO1HvvvTfeZ4011gif/OQnA2cLstNZ6y+BrM+cddZZ8e+dgfK6664b/vCHP9QtHGkK+QxfWHvttYd2WtQT0P/0pz+Fiy++OFx77bVRVGXnxciRI8Mb3vCGsMkmmwSOGth4440bQqhdfH7qqaeiT5GujLPZ+DflZoKo9Y9ANivB17/+9TB16tTAzy9+8Yvx7/wf//hHDLioZ7VtTAp4fPAnP/lJYGGJqGf8jOMhdtxxx4aV5Jw+rqd/YQGIiPxvfvObQ/0YuzXmzJnTP0gD+uSi9jH/+7//G99rDz30UEvHVtCXpXMGCRw65JBDBrRF+1vtZuOcVhd+OaP2TW96U6xIvfdHWnAkdSrX0icRVHbhhRfGf/MOo0/aY489mvZJ/SXl04cjkIcvKaAP1wrF+3xBxjO1fUej2rXaVzF2Zjz029/+No53l19++fD+978/fP7zn48i27vf/e44xnnXu94V8GctfwIEHTOnwci2xJx3QYz1m7PPPju+b2677bZ4HvYSSywRCE798Ic/HP7jP/4jHp9Vz2r9gbTfJ5xwQkwdz1rRa1/72rijcP/99w/vfOc7F6SYfrdLBJhLn3zyyfFuxx13XPzbbsUQTadPnx4v/fnPfx4mT54839dmz54ds8QxnyKwgzn4mDFjAkf4MZcn89x73/vemDK+XnrweuUwWL6V1unNNbXzKdZimOdirN1ttNFG8z24FQEdv2BzBP7E2grBHGQh3HzzzeM4lz6j1uij0toL/Qt+1Mw4VvLUU0+N42f6oqWXXro3kLzrfAQ6WR9mzY45L+smZJ3EL2i7WiP9Oxk08J177rknPPPMM7FtN9hgg7gewztrOOM7p59+erwHGy+4J/dgjs47jQwvjTIsDHdvP5dA1QkooFe9ha1fRwSavfiIfEZgYJDczN73vvdF0Yno1lrL3p+zT0g/dt5559W9HRN2JvSN0jt3VEG/1BUCnQyQsg9m0k5KOQYxjYzB02mnnRY+9alPzXdJVkBn0r/rrrsORS/WXsxiDwOl17zmNV2puzfpjEDtZIyUcWmQimDELuKsMbBNv2PiRsAO7YzVTqpbnYwTlHPUUUfVrUB28fnuu++OC4cIGFlTQO+s7bv5LRZ4WZAjSIb2IeAKMRuRiskXC3h8Xs+ybXzfffcF3lUE3NQzzvpjcZLFnlrLCugEZeyzzz4xkCxrCujdbPXW7lXkPuaggw6KC5YEF/7973+PiwSNDP/FzwkIwbebXdsaGa/qhEAeomdWBPvlL38Zs2jUvndS2Rkzfetb3+qkKn6nzwTy8CUF9D43cgePX5DxTDcFdAK1vvSlL9UN/ENQRRQjUFEBvYNG7uJXHn/88SExiDkU899OjbEv514z12pkb3nLW+L8mZ+1lhXQv/CFL8TNE88999x81zHmYezTaFzeafn9XnsEmJOw2QAfGj16dBQWx44d29JNfvWrX4UPfOAD8dp652AzZuH3w/ljmru3OmdXQG+peXpyUe18ivZnUws7hlkfueyyy+Z77nACOn5EP/H00083LDPjXDYvZDdiIXoSGM+zeQZrMY2MuThBRqScJ9CDgA8tPwKdrg/jX/gHRhAfG1+yRnZBNjYQZNzIyOZDxox6+gPfQXf42Mc+NnQcQaP7uH6Tn7/4pHIRUEAvV3tZ2pwINHvxMSgZNWpUjNBikY9osWWWWSZGgCFGnHHGGeGGG26IJeXMJCIGay17f16O119/fdh2223j9ezAYYdWii7ju92IsM4J3UA9ptMBUoLEICgFTjDgIXNBmqAzAWNR6a677ooi2SWXXBI++MEPzsM3K6ATeUi0M/fgLB18kkh4dnGxMxSrN+EbqAYrQGVrJ2NMguhDEM9ZfDn66KPnKSU7i/kdIjrXZHfR1E6qGRTTj+BLW2yxRUxRR5pDdvcQ2cpkDCEKa3RmYHbxmR1/+B+7L1hgYicF0a70Ue6k6K8zcf4ewRQTJ06Mi7nJ+DcBV80WFbNtTL9B/0CGCsRyFpLIinDMMccEAigwhHF8p9aSgM4uHfoaIpfZycEuCwLNKAfBGlq+BIrcx+BTb33rWyOQlDmhHh12qyOYs0vDIwny9Z9m49XDDjss0H8ka3VXZ6s70Bm3jBs3Lh5r8p//+Z9xh01KsXr44YeHmTNnxkcjsqeF7P7S8entEFBAb4fW4Fy7IOOZbgnoBAoyf8IY6zIeZzyFMZZJY3P6KN5j7kDvr3+m8SeloG0OPPDAhln/GpUU8ZTsX6y5ECDBOJh3DiIV2QcQMtglSqr4N7/5zTETWK3YmgR05u6MVxAd8B1+jzFPYzydxDJ2ubeyQ7C/dKv79GxmI8YQjCVatezRAfQDzK2T4UMEw5NFEGMOzm5Q5uGs4bCblKyVP/7xj2OmA/yDQAt+/7Of/Swe54YhyJL1ImsERrv5odVW6u519eZTBxxwQFxbS++G2t3izQR01vbYtU6GNjbIIJSTbZT25SgB+jJ8AiPgmL4ja6wHk+GAtR18rlFmDAJ+yJiAIaayo1jLj0Cn68MEWdHu6b3GuyQZWQeYD9MP8f4joyS+hC+QdRC/OPfcc+PlvGPoZ2qN9xGBH2gZBKezXoz/sQmDLAgEkl166aXxeAJ8VJOABOYnoICuV0igDoFmLz4mR0QsNzsviUXGr371q3HQjLBQG7VcG3XKmTqk3s0az9lyyy3jBI7dfwzKGbBrxSGQbUcGMqRLamTLLrts4L9kDHQYCGONxEyiTBksIZAR8YovZdOwZwV07nPsscfGRYSsIURwjyuuuCL+2oXn/vpPvckY7cYgmRRvCNwp4pg+ALF6xowZcVLFNc0EdCKN6SsQIOoZg2EmVAzCuS/9WG1a/6y4SjnwF3Yoa8Uh8Mc//jGmM8bIXkGq9WT8m/RvGEJ4SoGdLX22jfk9QTxEI2eNgDBSySHS4wdM+mvvlV3A5LNrrrmmoe8Vh171S1L0PgbhAV9hXJSCNGpbhSNy0iIzu/6222676jdcQWuYh+iZXXDk/XXdddfNl43lr3/9a+yDWOQhoItFZ61cBPLwJXegl8snFnQ80w0BnTNtWUBGEOPINILgx48fPw9I3lUEjrJz6uLQSAAAIABJREFUFVNA76+fkWUpm3qbOQ07LWkjRIVGR59lS831BKcT/EnfhEhea4hajIUROxE5OQc5a0lA53eI6/gOR6dljQBmNksgoiOOIpCRyVDLn8APfvCDsNNOO8UHp6Ov2ikF7Zg2ySBaJbGbDQocn4YheiYRrPbe+BFzcYJ0krUaiNhOOb22OwTqzacIlCGogbacNGlSDIzIWjMBfcMNN4ybXVh7YTcxYmbWSKWNII+QydybeXw2MyHCJuNfjGAMAt/rWdqgQwAq7zWyLWj5EehUQGetNqXmJ/PomWeeGQuNr/FOI2gCn2GOzNEQtcYmPgLBMDbVcBRoMtaUuQeBY3yXIIsU6FV7H9YdeS9qEpDA/AQU0PUKCdQh0OmLL92K6DBSriNoHX/88YFoxaxl789uPQZTiO21RiQqIjrGYmEaNNloxSDQavotSlu7cyvtuCCN0wUXXNCwQtnFpdodx1kBncjn3//+93X9CFGWgA8iDl147q/v1JuMMQln8Y5jIZiIMSHDaG+i2JlE0YYI7M0E9FZqhiCK72H4C/1P1rKLz9nBeyv39pp8CLBoyOIhmVDYqZkNmCCtF+8eFoR57/D+qbVsGxNQwYS8nt10001D57sRHERWlKxlBXQEURYZtf4TKHofc84558RsOxhC6aabbjofNN5T+CWpNukfXWzun1/lIXpmFxzJdkHWi3pGoA+7aVh8TkJW/8j45HYJ5OFLCujttkp/r1/Q8Uw3BHT6lBREyI7jz33uc3Wh0DeRGQNTQO+v3zBfIniUAPR6xi5yxAGEJMa5tWss2Z3Iw62vELxMoDNiKeORrGUF9HrrPenaFCjNv5nzM/fX8ifA3/e+++4bH9zsb71RybJCeQpS/vOf/xzIxEXQO7s5k5Deau0U0Fsllf919eZTlILsaml3eHbdhs8aCejZOTWB7hzPWM9I3Z12tdfOvdkUQ2r2xx57LGYcREitNcRW+j9+NsqEmj/JwXpipzoCmxXIioJls4ZybBXzIjIOsB6Y3ZBVS5YAMnyNd1/akc413/72t2NGSYwMp6kfHKyWsbYSWHACCugLztA7VJBAOy8+JnGIGOzYY2CTjLQovAj5+f3vf38eStn7NzurFgE+7Tr3ZVc8R+tUQOfsV6LlsWYRpKnGLBYjjNWmvM0K6MNNBAnEICCDNHXcK3uuUvHIVrdEjSZjRJwSecr55mlBCAGbM64Q0VMGgXYEdERUolWfffbZKM5jBFGkwTmRrTwja9nFZ57Js7XiECA4i6hgIogbpeji90yqmWQTRdwsy8Bw6STXWmutmP6f3VhkwMhaEtApD32aVgwCRe9jiIJnIZr30Kc//enAeyxr9FkEC9FXMcFn7KP1j0AeomdacETkYHfP0ksvXbfCCBQpyw47dRplW+kfLZ/cjEAevqSAXh4f7MZ4phsCOkIs7yHmRcy7s7tDszQJ2iGoC6FMAb0YfkaWLNIpM19J85zakq2//vox8Cq7K53z7tlRzk48dobXjpOz98imQ2asm92ZlwR03l3s9MQ/6hnvNUQtfIcdgogZWv4EyPj4pS99KT6Yv3nGoO0Yu9fZxY6lAFD8L22U4R1H39COKaC3QyvfaxvNpxCw2YXO2i9BwPhCskYCOmt4KdsoAidHqDUyAjI4Qq/e3BtR/dRTT42BxcyXasfBZJVDPMVY96vd5Z4vwcF8Wjs6QpYQmbZS1lrWBckYiZEJkh3lrRw7wRyJuRIZVcg0mSwFpvPO431Ubwf7YLaWtZZAewQU0Nvj5dUDQmC4Fx8TIAbQCFC/+93vAgvCjaze+Z3Z+zMxqz3bOt2LyWCa1JESPg36B6QZCl/N4fykUQUQrRqlXWpWaXZFIJQnywro119/fdNzqb/85S8PpZ6777774sBfy59Ao8kYQTacl0aAAxMijJ3ELOwgojMhw4YT0Ik4ZpcMi0UInyxQNrJ6aeayi88MsBstBuVPzidCgLOp0vvioosuihHKtcbvU8rrekc2ZNu4djGw9l4piIPFQVInZ3cCJwF9q622imkwtWIQKHofAyXO/fvv//7v2N8RDJI93zErkjY6hqAYpAejFHmInmnBsfZc0VrCBJelBe/h+q7BaJ1y1TIPX1JAL49PdGM80w0BnbTfN954YxRYWcBuZmTzYlFaAb1YfkZAFTs3yax1yy23xHPrOcc8GQGl/J6fWHYncTs1qRW+koBeK1bUuyfXkL6dNOCUVcufQHYH+sknnzyUUaLVkrDrNx0fk8anbJRhpydnWiOokh2sHVNAb4dWvtc2mk9Riuy6Wnau3UhA//jHPx5++MMfxnk0azUcudfI2EyBX9Sbe2d3qJOye7fddpvnNszJSQ9PwA4ZM5oFB+VLc3Ce1un6MEeGkFEUy26SSBup2iGIQI6fJSPwa+bMmWHixInxaFBNAhLojIACemfc/FbFCTR78SEi8FJj4t+KMbkiFXPWsvevTctde8+Udqw2BXgrz/aa3hLodIBE5Giz89IblZpBMoPlZFkBnUWfZme+kX557733jl+tl7q7t6S8eyLQaDLGLnEmO88//3ycYBGkw2SLc6sQ1BGasGYC+v333x93jLNA04qx0Ey/krXs4jM7QJ14tUIyv2tSCmMizvGLeqmtyTxA8AU7fPGhtFsilTLbxrzPmi32cEbg0UcfHb9KphV8NFkS0NmRQVpurRgEit7HQCmbpu7ss88eSunOZ5z3x/l/7M5gsVrrL4E8RM9uiGD9peTTWyGQhy8poLfSEsW4phvjmW70HauvvnrMsIOQTjByM0tiuwJ6MXyoUSkYB7MTk53BiOtYNuMNu0aHa+t6967dYZwE9I033njobOxGZUq+g7+xu1TLnwBCN4I3Rhruo446qq1CpDbkS+kMdDbKIKAyP2Ke1K4poLdLLL/rmwnozLHZjMJPzjZnQxXWSEBPmSCZnxM43Myazb1ZHyIYhzWf2jVmMqgQJMT6DceNECSi5U+g0/VhdpynjAFpzZfstp0eY4avJGM9kTWf7bffPm6y0SQggc4IKKB3xs1vVZxAsxcfu8BJAYUxgWYnFdFiDIh4OaXU2ER4EQFdb5KtgF4NB+p0gJTOsoECgxgEg1ZsqaWWiqlvk2UFdHZEMKBuZNlnKqC3Qrs31zSbjKXUcOwwZtBLkA4LjCwCJWsmoHMGNWnECLohenmHHXYIa6yxRjwGIomk2awW9YJyXHzuTbt3465kI+A90yzjSe1ziEBmQScFYPB5to1ZZGw2Mcue89ZIQCdzAn6pFYNA0fuYRIm0quwIyy4AsQDFQjRGoFk6r60YZAezFHmInt0QwQazdcpV6zx8yTFMOXyiW+OZbvQdCujl8JlOSkkKY4QrjF18CEys0zDOYLyBAPbzn/+85VtzfTZjThLQWwm+SM9UQG8Zd9cv/OMf/xjWXnvteN9W0iFnC0BGtyWXXDIGumez5SQBvRVhtF6FFNC73sxdu2Gz+RQPOeKII+JOdGzatGlh6623HlZAR+B+8MEHm5ax2dybL5IKnpTw9GVkY1phhRXi/cjsxbo0Nlya+K5B8kbzEeh0ffjYY48NX/jCF+L9jjvuuPD5z38+it7oC9hHP/rRtrLRcgxfsiSgszbIRh1NAhLojIACemfc/FbFCTR68SFqIWAiJGy22WYxBUqjs6Tf/va3hz/96U8K6BX2lU4HSAxc2BmKXXDBBWHKlCkdUTKFe0fY+vqlZpOxX/3qV3FCn9J6EUFMGi4m58kaCeh//vOfo1iOHXLIIYHz/eoZ53altOwK6H11hbYfnv17b+fLpD0moCJZt1O4K6C30xq9v7bofUwicNppp4U999wzBvyQQYUAMARzzgZlos8OjbFjx/YemE9oSqDZOCcdPcINmgXxcZxIWsjJHkmSHtwNEcxmLD6BPHxJAb34fkAJuzWeScfMkJ4UIaGRZbNwkaWJDDrJTOFeDp/ptJQrr7xymDFjRvw655QjfqY0xwSZkuq9WTrlZs81hXunrdKf77GOxxz48ccfb3ucmQ3G4AgAjsvCsincySbX7m5RBfT++EIrTx1OQCdlP0E1rK2su+66MSiY+TaZtbDsDuBupXDnvmSw4Jx0LAmt/H/KrME52nfffXcrVfSaHhDodH04nXVOkW644YahgHKCtgjcYXc6/VAnZgr3Tqj5HQnMT0ABXa+QQB0CjV58WfGJc4b32WefuvwYQLNbmLQr7kCvrot1OkDKip21adnboZVdgOJcL85Ib2QpQpqdqKSbahT40c7zvbZ9As0mY0S3M8BNqb3qnV/VSEC/8MILw0c+8pFYoGbnBmcXABTQ22+/fn4jZTUhev3EE08ctihEMbOgXJviLSsw4DccSdLIUiDY+PHjY4rTrKUU7growzZFrhcUvY9JMNiBiC+zKMAODnZc8G8Ws3fcccd4pqTWfwLNxjk//elPh/qPZpltWGjebrvtYmUU0Pvfpv0qQR6+pIDer9Zt77ndGs+Qppb5OHMb3imNjPnRN7/5zfhxrYDOPOzMM8+M86JHHnkkzt/rGaIb4huiiCnc22vvfl6ddn5TBnagL7300uHQQw8dCjSuTcveTlmTgE4gIL7DvesZnzGnw3d23333GCio9YfAvvvuG1gzwbLi43ClYXfx9OnT42Wcg/6hD30o/v9JJ50U9t9///j/nfgSYitBhPX6puHK5Oe9JTCcgM7TjznmmDh/wRjr4hv1BHR2jLNzHBtud3g6yqre3DvVmOynnJmNcP+HP/whpnQnEJk+pt4Rfb0l5d2zBDpZH2bTHdkxaD/WAu+7776hwC427f32t7+N2U8IAiPwq13bZpttYrYVvsv7qJN7tPtMr5dAFQkooFexVa3TAhNo9OLjzFlSNGGcC5vSrNQ+kIE5A3RMAX2Bm6OwN+hkgJQq89a3vjVGhzKA4WdKv9ROZbMC+nrrrRduvvnmuJuv1hDROB+dHc1M+Bjca/0hMNxkjD4lTew5s/7444+fp6CNBPTzzz8/pmzHbrzxxrDRRhvVrSBR8xdffHH8TAG9Pz7QyVNZ8OVvmIkVfpEWgpvdi9RfJ5xwQuwTmFizCwfLCgzN+gMEMc6hxj772c8GdnBlTQG9k5bs/XeK3sdkCbBTgz5tlVVWiakQP/GJT8SPr7zyyjBp0qTew/IJwxJoNs7JnmVPRoE99tij7v0I7iJYB1NAHxZ5ZS/Iw5cU0IvvPt0cz3DG63777RcrTXAyc6tamzVrVtwlmNLm1gro2axgzYKREeoR7DEF9OL7GSUkQI91G3aKkn6bAHLGxMyXObcY49isJIy2W6skoPM9AluTL9beB6H2oIMOir9ekMxz7ZbP6+cnwN8/Gds4wmrxxRePIuRqq63WFBXH7XGkGsbOX1LBp40IrOGQlp/5GSJVmmO3yj47f2/Uh7V6L6/rLoHh5lM87bnnnovCNcImQecI2mRnwrI70BHN09oMY2XGzPWMncebbLJJ/Kje3Dt9h/k983zszjvvDAS0JoEen2QXutYfAu2uD3M0H9kD6Iuw2nFINrU7/3/ggQe2XbHsmjFBP0mnaPtGfkECA05AAX3AHcDq1yfQ6MXH+cFEFzMBW2eddeL5WbWpmpiUbbHFFoFd6JgCenW9rN0BUpbEOeecMyQWMIln8p5Sa9cS4/wbBj4MuEeOHDn0cW0KRAbTKQo6XYRoTqo60oNjnKudzoOrbssUt2atTMaalb6RgE70MUEUGGmROQer1jhTmMlYMgX04vpJbcm++tWvxoAHrNUdDgRSkJoUO/LII4cm1lmBgc9YvOFcrazx/mKHGJM5Fon4mc4NTNcpoBfTf4rex2SpEVFPZD3GIjfH4yB0kA68XjBYMYlXu1TNxjmML9hVx85MUrQTdDNq1Kh5gGTFKT5QQK+2vzSrXR6+pIBefP/q5niGsQk78bDPfOYz4fTTT58HAAIG496sWFEroDPHIogLAYTd54ydasWHe+65J6ZTpa/DFND752eMT9/znvfEs2ARvxtlVGPNBp/gGCNsp512Csy9k3FkVpobkwXn8MMPb1gpglARtpKImi7MCuicsc41tUEcpFtmLE52HbLscK9203z3j3Y1n5wNhiG4mJ2ZEyZMqFtZAh5I004gDu1GG6c+J32BDDsppXszgQuxlfvgK8muueaa2J9grAXh01oxCLQ6nyJ45oADDoiFZi2PTBdYVkDn36z3sU688MILx/U4UnZnjT5i8803HwrQuP3224eOP6olQkAYO5Xp5xDOCdzguCSewfq01j8C7awPE/xA/8I6XhpbXH755fOs95Jdh00U+BVzLIIlssc71taUuTVZLVnHScY4h0Chf/zjH3HzFkdEpn6n9vszZ84MK664Yv8A+mQJFJiAAnqBG8ei9Y9Asxcfu//STjwGKUQb80Ji0MPLCOGKiFYm4UQAKqD3rx17/eR2Bkj1ypLOzeIzzmTj/FcGOwy+mWRxLuy1114bJ2VPPPFEIEJxscUWG7pVVkBff/314+I1CwT8x/3wP0R1fo9lz+zqNRvvX59Aq5OxRvwaCehM0hA4SQGFschDGmQWazj7j3TIP/nJT2KEKwNrTAG9PF7KYi79wbLLLhtT/LdyBAM+wcIQEyEW9NjZgGUFBvoNFqAJzmGXKDt0OAKAlHQpZTtHlbDYVGsK6MX0n6L3MbXU2M3DAnMyxBUWxrViEBhunDN16tSYkQlj1wy77Oh3CIb48Y9/HFNZsuuGRWdMAb0Y7dqPUuThSwro/WjZ9p7ZzfEMT05nmPP/HCnDf2PHjg2I3gjn+B3XpD6oVkDne9lAH8QtUvKmxWcELsZECBXMrbhv7dE47RHw6gUhgIBOyn6M7G3bbrttbF+CINIxZYxrEc7ZKYzhD2RMYdyaDAGKMXA6Nov31Kc+9am4i5S5Nsf2MR7+5S9/GbPi8BzmUVlLAjo+TQAGgX9kEuP3GL7H+5E1Iozvp+NMFoSB311wAtlU7ossskicN5OVCz/iCEbmTOedd1644oor4sMQz9lZvP3228/3cDJUIqqnLBdspCEtOzvTUxYwfIGd7PhA8g9uRHYE5nYIXNzjqKOOin6a5nn4+OjRoxe8wt6hbQKtzqdYn0PgTH1JelCtgE4fRD9DEAUbYphfT548eSgTAn0FqbsxxtK8d5rZe9/73uif48aNi5u7sOGOdGwbgl9om0DWb9jUkt28wvoua7q8W2g7xPLkJwTpTZs2re6Gql//+tdRNCdwmb6B9wj/4XcYvnfLLbdEcZ17k6kQzSJrV111VTxHnXsQxME6NGvDiOVk5GDdBy2DTKX8W5OABOYnoICuV0igDoHsi6/2HBkmQQx8GQTVM4RzXl5EM1999dUK6BX2sOEWA4erOtGBTLRJpcPCTDPj3Bt2PmSj1rMCOv7IohHRqvWMhSAimwnu0PpHoNXJWKMSNhLQuR4fYNLOwLyesSjEGejLL798/FgBvX9+0M6Ts7t0m6V9q3fPdD4on6XU/lmBgYk6O3lYUK5nTM5Y8GFxqdYU0NtpxfyuLXofU0sim4aQRQF2Z7GrQisGgWbjYUpIilz6EPqXekYQ6be+9a0oSmAK6MVo136UIg9fUkDvR8u2/sxuj2d4MkIX/QwCZj0jMxf9D0eGYPUEdH7/ta99LQZv1YoefMaOLQKCEDgIbCaTFzsItfwJIDSSqYYgrVYMcZsAiZSlK/udBx54IEyZMiXuCh3O8J+0mz1dmwR0/I+0umRz4p1Ya4xt2JmcdqkO9yw/z4cAATbs3k2ZJRo9FSGcaxvt2OR7zKdI4Z4C2RvdCxErK6BzHWtB+Ec9q3d9PnR8SjvzKca5COJZq/cuIesFfQ67ihvZXnvtFQPXhwuWZzxN0E8yRFF2GJMZSusfgazftFIKAvMI6CFoot56S7oHgVxsjmnl3UfwcjoWLVsG1gEJFmq0Vpiuree7rdTFayRQdQIK6FVvYevXEQEGN6T2wuqlYmJyRLoe0joRic7LjgVfUmUjWBDJlZ1U8SLNWvbFOtzAOKUxrSd2dVQ5v9Q1AgsqoKeCEPFH2kEGRkzmGVQjmONTnKWELxL5Xit+ZwV0dhlzvABiPH7JRI7BD7v7iILefffdY7Sh1l8C7UzG6pW0mYDO9Zx3T/Q6C3tEwrMbgwwZLOowIWNXRbM+xcXn/vpHvacjmqe0pLybalO+NStxNjVgOkutto2ZRB1//PEx8Iv+h6h4UhnSZzBRa2QK6MXzFUpU9D6mlhqiR1rs4V3Hbi+tOASGGw9TUnbfMPYg2IZMGfQhZL0gqI/MOoxPEDwwBfTitG3eJcnDlxzD5N2q7T2v2+OZ9HREAwRwdk+xE4sdxwimCBqkRM6OnRsJ6NwLcZz5/fXXXx93DXO0CAFCnDXLuckc30agMrtQ6e+0/hAg6JygLXbl8ZN5NLuAEdeZPxMozDgWQZNA0GYp05krs+OO44xIfcx92IHMrk7Ed3a3szOZ1Mq1R8vUrvWQTYfzzpnP44fcg+8hnKcjlfpDzKc2IsDOXbK0scmAFNiPPPJIXNdjXLrBBhtEHyJDVzNhK92bjRHci2AbUjKTxYDMXuwiJ2sl/cakSZPmE0bxwTPPPDPucKcM9D3cCxtundCW7R2BduZT7Nilv2C8m6yRCImPnXzyyfF9xXod38Xf6CsYM6ejrYarGeuFfI9+D2N3MQKp1l8CjQR0AiJYl2N8QqYLxii0+dZbb93ysR5oEMyjLrnkkjgWoY/hvojwjFEI8uGdV3uUSJYIfR7HOnIP3p34EVkw0C8Y7yCwcyyXJgEJzE9AAV2vkEAdAkyidthhh/jJGWecEXbbbTc5SUACEpCABEpPQIGh9E1YqQqQwo40hBhjL4J9tOIQcDxcnLYoe0n0pbK34GCXH1GVhW8Chg499NBwxBFHDDYQa990s4R4JCABCUhAAhKQgASqQ0ABvTptaU26SID062liTDR6q5GAXSyCt5KABCQgAQl0nYACeteResMFIECWA86ZJIMKuwhHjRq1AHfzq90m4Hi420QH93760uC2fRVqzq7SFODFzi2yzmmDTaBZtsHBJmPtJSABCUhAAhKQQLUIKKBXqz2tTRcIkEaHtCWkoSTtEqm8SHusSUACEpCABMpOQAG97C1YnfJz3vn48eNjulRS5JL6VCsOAcfDxWmLspdEXyp7C1a//Mz7OfKonvGuItXqzJkzY8pcfraS0rn61Aa7hgrog93+1l4CEpCABCQggcEhoIA+OG1tTZsQ4PwQJsNMkDkL9rrrrotX77///uGEE06QnQQkIAEJSKASBBTQK9GMpa0Eu8w5w41zaA8++OBw6623xiBFxAvOidT6S8DxcH/5V+np+lKVWrP6dUEQ57x0ziNdc80141naDz/8cDyD+LTTTgucG4qdc845Yaeddqo+EGs4LAEF9GEReYEEJCABCUhAAhKoBAEF9Eo0o5VYUAInn3xy2G+//ea5zcYbbxwuv/zysPjiiy/o7f2+BCQgAQlIoBAEFNAL0QwDW4i04JwFcOyxx4YDDzxwYJkUqeKOh4vUGuUui75U7vYbtNKPGDGiaZUXWmihcOSRR4apU6cOGhrr24CAArquIQEJSEACEpCABAaDgAL6YLSztRyGAIs87DYfO3ZsWGONNeIZZ3vuuadnceo5EpCABCRQKQIK6JVqztJVJi04jxkzJqZv33fffcMnP/nJ0tWjqgV2PFzVls2/XvpS/sx9YucEONf80ksvDddff308vo0MCqNGjYqZUXhv7bXXXvGIN00CiYACur4gAQlIQAISkIAEBoOAAvpgtLO1lIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCCBYQgooOsiEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQggRCCArpuIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACElBA1wckIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACcwm4A11PkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCSig6wMSkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCCBuQTcga4nSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABBTQ9QEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpDAXALuQNcTJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAgro+oAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhgLgF3oOsJEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQV0fUACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQwl4A70PUECUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAK6PiABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKYS8Ad6HqCBCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAFdH5CABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQnMJeAOdD1BAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkoICuD0hAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgATmEnAHup4gAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISUEDXByQgAQlIQAISkIAEJCABCUhAAhL1jdOqAAAB30lEQVSQgAQkIAEJSEACEpCABCQgAQlIQAJzCbgDXU+QgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJKKDrAxKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIIG5BNyBridIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEFND1AQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkMBcAu5A1xMkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACCuj6gAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSGAuAXeg6wkSkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABBXR9QAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJDCXgDvQ9QQJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCAAro+IAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEphL4P8ANIAIk8YLAjcAAAAASUVORK5CYII=\" width=\"1000\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "ID = np.random.randint(len(gt.DF_UID))\n",
+ "gt_sel = gt.isel(DF_UID = ID).drop('DF_UID')\n",
+ "gt_sel.coords['timestamp'] = (gt_sel.timestamp.dt.month-1) * 24 + gt_sel.timestamp.dt.hour\n",
+ "gt_sel = xr.merge([xr.DataArray(coords = {'timestamp' : range(288)}, dims = ['timestamp'] ).rename('dummy'),\n",
+ " gt_sel ] ).fillna(0)\n",
+ "\n",
+ "pv_sel = pv.isel(DF_UID = ID).drop('DF_UID')\n",
+ "pv_sel.coords['timestamp'] = (pv_sel.timestamp.dt.month-1) * 24 + pv_sel.timestamp.dt.hour\n",
+ "pv_sel = xr.merge([xr.DataArray(coords = {'timestamp' : range(288)}, dims = ['timestamp'] ).rename('dummy'),\n",
+ " pv_sel ] ).fillna(0)\n",
+ "\n",
+ "plt.figure(figsize = (10, 3.5))\n",
+ "ax = plt.subplot()\n",
+ "pv_sel.pv_potential.to_dataframe().plot(ax = ax)\n",
+ "\n",
+ "ax.set_xticks(list(range(12, 24*12, 24)))\n",
+ "ax.set_xticklabels(calendar.month_abbr[1:])\n",
+ "plt.xlabel('')\n",
+ "plt.xlim((0, 12*24))\n",
+ "plt.ylabel('Power ($W$)')\n",
+ "\n",
+ "ax.set_axisbelow(True)\n",
+ "ax.yaxis.grid(linestyle = '--')\n",
+ "\n",
+ "ax = plt.gca().twinx()\n",
+ "gt_sel.tilted_irradiance.to_dataframe().plot(ax = ax, c = 'C1')\n",
+ "\n",
+ "ax.set_xticks(list(range(12, 24*12, 24)))\n",
+ "ax.set_xticklabels(calendar.month_abbr[1:])\n",
+ "plt.xlabel('')\n",
+ "plt.xlim((0, 12*24))\n",
+ "plt.ylabel('Radiation ($W/m^2$)')\n",
+ "\n",
+ "plt.tight_layout()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "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": "3.6.7"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/EW_scenarios_MMH/baseline_scenario/.ipynb_checkpoints/Compare_versions-checkpoint.ipynb b/EW_scenarios_MMH/baseline_scenario/.ipynb_checkpoints/Compare_versions-checkpoint.ipynb
new file mode 100644
index 0000000..7fec515
--- /dev/null
+++ b/EW_scenarios_MMH/baseline_scenario/.ipynb_checkpoints/Compare_versions-checkpoint.ipynb
@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/EW_scenarios_MMH/baseline_scenario/2_exec_pv_pipeline_batch.sh b/EW_scenarios_MMH/baseline_scenario/2_exec_pv_pipeline_batch.sh
new file mode 100644
index 0000000..d59b6a6
--- /dev/null
+++ b/EW_scenarios_MMH/baseline_scenario/2_exec_pv_pipeline_batch.sh
@@ -0,0 +1,126 @@
+#!/bin/bash
+
+## == Settings
+
+#SBATCH --job-name=pv_pipe_hr
+
+#SBATCH --account=leso-pb
+
+#SBATCH --nodes=1
+#SBATCH --mem=125G
+#SBATCH --ntasks=1
+#SBATCH --cpus-per-task=4
+#SBATCH --time=02:00:00
+
+#SBATCH --chdir=./output
+
+#SBATCH --array=1-97 ###97
+
+#SBATCH -o pv_pipe_hr_%A_%a.out # Standard output
+#SBATCH -e pv_pipe_hr_%A_%a.err # Standard error
+
+echo STARTING AT $(date)
+echo
+
+## ====== Specify here the needed modules
+
+module purge
+module load gcc python/3.7.3
+
+## ====== Get slurm array ID
+
+N=${SLURM_ARRAY_TASK_ID}
+echo Slurm array task ID: $N
+echo
+
+WORKDIR=/scratch/walch/workdir_solar_MMH_base # PATH TO WORKING DIRECTORY
+FLATDIR=/scratch/walch/workdir_solar_EW_scenarios
+
+## ====== User input
+
+PATH_TO_SCRIPT=$WORKDIR\/poa_irradiance.py
+PATH_TO_SCRIPT2=$WORKDIR\/merge_poa_batch.py
+
+PATH_TO_IRRAD=$WORKDIR\/compute_tilted_irrad_batch.py
+PATH_TO_PV=$WORKDIR\/compute_PV_output_batch.py
+
+# input file paths:
+ROOFTOPS=/work/hyenergy/output/solar_potential/geographic_potential/CH_ROOFS_all_replaced.csv #$FLATDIR\/files/flat_roofs_baseline.csv
+AVAIL_AREA=/work/hyenergy/output/solar_potential/geographic_potential/available_area/PRED_available_area_unc_filled.csv
+METEO=/work/hyenergy/output/solar_potential/physical_potential/results/physical_potential_dhm25_200_CH_ELM50_1000_interp.nc # ABSOLUTE PATH TO FILE WITH SOLAR RADIATION DATA
+ALBEDO=/work/hyenergy/output/solar_potential/physical_potential/results/ALB_dhm25_200_CH_ELM30_1000_CPU_prediction.nc
+
+BATCH_SIZE=100000 # 200000 corresponds to 49 batches, 100000 corresponds to 97 batches
+MINIBATCH_SIZE=1000
+N_MINIBATCH=`expr $BATCH_SIZE \/ $MINIBATCH_SIZE - 1`
+
+## ===== Variable definitions
+
+CURR_ID=`expr $N - 1`
+START_ID=`expr $CURR_ID \* $BATCH_SIZE`
+
+## ===== Execute script
+source activate py3
+
+for YEAR in MMH_base_all
+do
+
+ PV_DIR=$WORKDIR\/tmp_$YEAR
+ mkdir $PV_DIR
+
+ OUTPUT=$PV_DIR\/poa_irradiance_$CURR_ID\.nc
+ if test -f "$OUTPUT"; then
+ echo "$OUTPUT exist"
+ else
+ for BATCH in `seq 0 $N_MINIBATCH`
+ do
+ START_BATCH=`expr $START_ID + $BATCH \* $MINIBATCH_SIZE + 1`
+ OUTPUT=$PV_DIR\/poa_irradiance_$CURR_ID\_$BATCH\.nc
+ python $PATH_TO_SCRIPT $METEO $ROOFTOPS $OUTPUT $ALBEDO $START_BATCH $MINIBATCH_SIZE
+ done
+
+ echo
+ echo FINISHED LOOP AT $(date)
+ echo
+
+ OUTPUT=$PV_DIR\/poa_irradiance_$CURR_ID\.nc
+ python $PATH_TO_SCRIPT2 $OUTPUT
+
+ if test -f "$OUTPUT"; then
+ echo "$OUTPUT exist"
+ rm $PV_DIR\/poa_irradiance_$CURR_ID\_*.nc
+ fi
+ fi
+
+ echo
+ echo FINISHED POA IRRAD AT $(date)
+ echo
+
+ if test -f "$OUTPUT"; then
+ echo "$OUTPUT exist"
+ TILT_IRRAD_FP=$PV_DIR\/tilted_irrad_$CURR_ID\.nc
+ python $PATH_TO_IRRAD $OUTPUT $ROOFTOPS $TILT_IRRAD_FP
+ fi
+
+ echo
+ echo FINISHED TILTED IRRAD AT $(date)
+ echo
+
+ ## ================================ ##
+ ## ========== PV ================== ##
+
+ if test -f "$TILT_IRRAD_FP"; then
+ echo "$TILT_IRRAD_FP exist"
+ PV_POT_FP=$PV_DIR\/pv_potential_$CURR_ID\.nc
+ python $PATH_TO_PV $TILT_IRRAD_FP $ROOFTOPS $AVAIL_AREA $PV_POT_FP
+ fi
+
+ echo
+ echo FINISHED PV POTENTIAL AT $(date)
+
+done
+
+conda deactivate
+
+echo
+echo FINISHED AT $(date)
diff --git a/EW_scenarios_MMH/baseline_scenario/2_exec_pv_pipeline_batch_debug.sh b/EW_scenarios_MMH/baseline_scenario/2_exec_pv_pipeline_batch_debug.sh
new file mode 100644
index 0000000..29289bc
--- /dev/null
+++ b/EW_scenarios_MMH/baseline_scenario/2_exec_pv_pipeline_batch_debug.sh
@@ -0,0 +1,126 @@
+#!/bin/bash
+
+## == Settings
+
+#SBATCH --job-name=pv_pipe_hr
+
+#SBATCH --account=leso-pb
+
+#SBATCH --nodes=1
+#SBATCH --mem=125G
+#SBATCH --ntasks=1
+#SBATCH --cpus-per-task=4
+#SBATCH --time=02:00:00
+
+#SBATCH --chdir=./output
+
+#SBATCH --array=1 ###97
+
+#SBATCH -o pv_pipe_hr_%A_%a.out # Standard output
+#SBATCH -e pv_pipe_hr_%A_%a.err # Standard error
+
+echo STARTING AT $(date)
+echo
+
+## ====== Specify here the needed modules
+
+module purge
+module load gcc python/3.7.3
+
+## ====== Get slurm array ID
+
+N=1 ## ${SLURM_ARRAY_TASK_ID}
+echo Slurm array task ID: $N
+echo
+
+WORKDIR=/scratch/walch/workdir_solar_MMH_base # PATH TO WORKING DIRECTORY
+FLATDIR=/scratch/walch/workdir_solar_EW_scenarios
+
+## ====== User input
+
+PATH_TO_SCRIPT=$WORKDIR\/poa_irradiance.py
+PATH_TO_SCRIPT2=$WORKDIR\/merge_poa_batch.py
+
+PATH_TO_IRRAD=$WORKDIR\/compute_tilted_irrad_batch.py
+PATH_TO_PV=$WORKDIR\/compute_PV_output_batch.py
+
+# input file paths:
+ROOFTOPS=/work/hyenergy/output/solar_potential/geographic_potential/CH_ROOFS_all_replaced.csv #$FLATDIR\/files/flat_roofs_baseline.csv
+AVAIL_AREA=/work/hyenergy/output/solar_potential/geographic_potential/available_area/PRED_available_area_unc_filled.csv
+METEO=/work/hyenergy/output/solar_potential/physical_potential/results/physical_potential_dhm25_200_CH_ELM50_1000_interp.nc # ABSOLUTE PATH TO FILE WITH SOLAR RADIATION DATA
+ALBEDO=/work/hyenergy/output/solar_potential/physical_potential/results/ALB_dhm25_200_CH_ELM30_1000_CPU_prediction.nc
+
+BATCH_SIZE=100000 # 200000 corresponds to 49 batches, 100000 corresponds to 97 batches
+MINIBATCH_SIZE=1000
+N_MINIBATCH=`expr $BATCH_SIZE \/ $MINIBATCH_SIZE - 1`
+
+## ===== Variable definitions
+
+## ===== Execute script
+source activate py3
+
+YEAR=MMH_base_all
+for N in 24 28 30 32 33 52 73 83
+do
+ CURR_ID=`expr $N - 1`
+ START_ID=`expr $CURR_ID \* $BATCH_SIZE`
+
+ PV_DIR=$WORKDIR\/tmp_$YEAR
+ mkdir $PV_DIR
+
+ OUTPUT=$PV_DIR\/poa_irradiance_$CURR_ID\.nc
+ if test -f "$OUTPUT"; then
+ echo "$OUTPUT exist"
+ else
+ for BATCH in `seq 0 $N_MINIBATCH`
+ do
+ START_BATCH=`expr $START_ID + $BATCH \* $MINIBATCH_SIZE + 1`
+ OUTPUT=$PV_DIR\/poa_irradiance_$CURR_ID\_$BATCH\.nc
+ python $PATH_TO_SCRIPT $METEO $ROOFTOPS $OUTPUT $ALBEDO $START_BATCH $MINIBATCH_SIZE
+ done
+
+ echo
+ echo FINISHED LOOP AT $(date)
+ echo
+
+ OUTPUT=$PV_DIR\/poa_irradiance_$CURR_ID\.nc
+ python $PATH_TO_SCRIPT2 $OUTPUT
+
+ if test -f "$OUTPUT"; then
+ echo "$OUTPUT exist"
+ rm $PV_DIR\/poa_irradiance_$CURR_ID\_*.nc
+ fi
+ fi
+
+ echo
+ echo FINISHED POA IRRAD AT $(date)
+ echo
+
+ if test -f "$OUTPUT"; then
+ echo "$OUTPUT exist"
+ TILT_IRRAD_FP=$PV_DIR\/tilted_irrad_$CURR_ID\.nc
+ python $PATH_TO_IRRAD $OUTPUT $ROOFTOPS $TILT_IRRAD_FP
+ fi
+
+ echo
+ echo FINISHED TILTED IRRAD AT $(date)
+ echo
+
+ ## ================================ ##
+ ## ========== PV ================== ##
+
+ if test -f "$TILT_IRRAD_FP"; then
+ echo "$TILT_IRRAD_FP exist"
+ PV_POT_FP=$PV_DIR\/pv_potential_$CURR_ID\.nc
+ python $PATH_TO_PV $TILT_IRRAD_FP $ROOFTOPS $AVAIL_AREA $PV_POT_FP
+ fi
+
+ echo
+ echo FINISHED PV POTENTIAL AT $(date)
+
+done
+
+conda deactivate
+
+echo
+echo FINISHED AT $(date)
diff --git a/EW_scenarios_MMH/baseline_scenario/2_exec_pv_pipeline_batch_oldVersion.sh b/EW_scenarios_MMH/baseline_scenario/2_exec_pv_pipeline_batch_oldVersion.sh
new file mode 100644
index 0000000..811b783
--- /dev/null
+++ b/EW_scenarios_MMH/baseline_scenario/2_exec_pv_pipeline_batch_oldVersion.sh
@@ -0,0 +1,127 @@
+#!/bin/bash
+
+## == Settings
+
+#SBATCH --job-name=pv_pipe_hr
+
+#SBATCH --account=leso-pb
+
+#SBATCH --nodes=1
+#SBATCH --mem=125G
+#SBATCH --ntasks=1
+#SBATCH --cpus-per-task=4
+#SBATCH --time=00:20:00
+
+#SBATCH --chdir=./output
+
+#SBATCH --array=1 ## 1-95 ###97
+
+#SBATCH -o pv_pipe_hr_%A_%a.out # Standard output
+#SBATCH -e pv_pipe_hr_%A_%a.err # Standard error
+
+echo STARTING AT $(date)
+echo
+
+## ====== Specify here the needed modules
+
+module purge
+module load gcc python/3.7.3
+
+## ====== Get slurm array ID
+
+N=1 ##${SLURM_ARRAY_TASK_ID}
+echo Slurm array task ID: $N
+echo
+
+WORKDIR=/scratch/walch/workdir_solar_MMH_base # PATH TO WORKING DIRECTORY
+FLATDIR=/scratch/walch/workdir_solar_EW_scenarios
+
+## ====== User input
+
+PATH_TO_SCRIPT=$WORKDIR\/poa_irradiance.py
+PATH_TO_SCRIPT2=$WORKDIR\/merge_poa_batch.py
+
+PATH_TO_IRRAD=$WORKDIR\/compute_tilted_irrad_batch.py
+PATH_TO_PV=$WORKDIR\/compute_PV_output_batch.py
+
+# input file paths:
+ROOFTOPS=/work/hyenergy/output/solar_potential/geographic_potential/CH_ROOFS_all_replaced.csv
+# /work/hyenergy/output/solar_potential/geographic_potential/CH_ROOFS_all_replaced.csv # ABSOLUTE PATH TO FILE WITH ROOFTOP INFORMATION
+AVAIL_AREA=/work/hyenergy/output/solar_potential/geographic_potential/available_area/PRED_available_area_unc_filled.csv
+METEO=/work/hyenergy/output/solar_potential/physical_potential/results/physical_potential_dhm25_200_CH_ELM50_1000_interp.nc # ABSOLUTE PATH TO FILE WITH SOLAR RADIATION DATA
+ALBEDO=/work/hyenergy/output/solar_potential/physical_potential/results/ALB_dhm25_200_CH_ELM30_1000_CPU_prediction.nc
+
+BATCH_SIZE=100 # 200000 corresponds to 49 batches, 100000 corresponds to 97 batches
+MINIBATCH_SIZE=100
+N_MINIBATCH=`expr $BATCH_SIZE \/ $MINIBATCH_SIZE - 1`
+
+## ===== Variable definitions
+
+CURR_ID=`expr $N - 1`
+START_ID=`expr $CURR_ID \* $BATCH_SIZE`
+
+## ===== Execute script
+source activate py3
+
+for YEAR in test
+do
+
+ PV_DIR=$WORKDIR\/files_$YEAR
+ mkdir $PV_DIR
+
+ OUTPUT=$PV_DIR\/poa_irradiance_$CURR_ID\.nc
+ if test -f "$OUTPUT"; then
+ echo "$OUTPUT exist"
+ else
+ for BATCH in `seq 0 $N_MINIBATCH`
+ do
+ START_BATCH=`expr $START_ID + $BATCH \* $MINIBATCH_SIZE + 1`
+ OUTPUT=$PV_DIR\/poa_irradiance_$CURR_ID\_$BATCH\.nc
+ python $PATH_TO_SCRIPT $METEO $ROOFTOPS $OUTPUT $ALBEDO $START_BATCH $MINIBATCH_SIZE
+ done
+
+ echo
+ echo FINISHED LOOP AT $(date)
+ echo
+
+ OUTPUT=$PV_DIR\/poa_irradiance_$CURR_ID\.nc
+ python $PATH_TO_SCRIPT2 $OUTPUT
+
+ if test -f "$OUTPUT"; then
+ echo "$OUTPUT exist"
+ rm $PV_DIR\/poa_irradiance_$CURR_ID\_*.nc
+ fi
+ fi
+
+ echo
+ echo FINISHED POA IRRAD AT $(date)
+ echo
+
+ if test -f "$OUTPUT"; then
+ echo "$OUTPUT exist"
+ TILT_IRRAD_FP=$PV_DIR\/tilted_irrad_$CURR_ID\.nc
+ python $PATH_TO_IRRAD $OUTPUT $ROOFTOPS $TILT_IRRAD_FP
+ fi
+
+ echo
+ echo FINISHED TILTED IRRAD AT $(date)
+ echo
+
+ ## ================================ ##
+ ## ========== PV ================== ##
+
+ if test -f "$TILT_IRRAD_FP"; then
+ echo "$TILT_IRRAD_FP exist"
+ PV_POT_FP=$PV_DIR\/pv_potential_$CURR_ID\.nc
+ python $PATH_TO_PV $TILT_IRRAD_FP $ROOFTOPS $AVAIL_AREA $PV_POT_FP
+ fi
+
+ echo
+ echo FINISHED PV POTENTIAL AT $(date)
+
+done
+
+conda deactivate
+
+echo
+echo FINISHED AT $(date)
diff --git a/EW_scenarios_MMH/baseline_scenario/3_exec_postprocess.sh b/EW_scenarios_MMH/baseline_scenario/3_exec_postprocess.sh
new file mode 100644
index 0000000..a3ee75e
--- /dev/null
+++ b/EW_scenarios_MMH/baseline_scenario/3_exec_postprocess.sh
@@ -0,0 +1,76 @@
+#!/bin/bash
+
+## == Settings
+
+#SBATCH --job-name=postprocess_hr
+
+#SBATCH --account=leso-pb
+
+#SBATCH --nodes=1
+#SBATCH --mem=125G
+#SBATCH --ntasks=1
+#SBATCH --cpus-per-task=4
+#SBATCH --time=03:00:00
+
+#SBATCH --chdir=./output
+
+#SBATCH --array=1-1 ###97
+
+#SBATCH -o postprocess_hr_%A_%a.out # Standard output
+#SBATCH -e postprocess_hr_%A_%a.err # Standard error
+
+echo STARTING AT $(date)
+echo
+
+## ====== Specify here the needed modules
+
+module purge
+module load gcc python/3.7.3
+
+## ====== Get slurm array ID
+
+N=1 # ${SLURM_ARRAY_TASK_ID}
+echo Slurm array task ID: $N
+echo
+
+WORKDIR=/scratch/walch/workdir_solar_MMH_base # PATH TO WORKING DIRECTORY
+FLATDIR=/scratch/walch/workdir_solar_EW_scenarios
+
+## ====== User input
+
+YEAR=MMH_base
+
+ROOFTOPS=/work/hyenergy/output/solar_potential/geographic_potential/CH_ROOFS_all_replaced.csv
+# $FLATDIR\/files/flat_roofs_baseline.csv
+AVAIL_AREA=/work/hyenergy/output/solar_potential/geographic_potential/available_area/PRED_available_area_unc_filled.csv
+
+PATH_TO_SCRIPT_ANNUAL=$WORKDIR\/merge_annual_data.py
+
+N_BATCHES=95 #97
+LAST_BATCH=`expr $N_BATCHES - 1`
+START_BATCH=0
+
+## ===== Variable definitions
+
+CURR_ID=`expr $N - 1`
+
+## ===== Execute script
+source activate py3_geo
+
+# Save annual data
+PV_PATH=$WORKDIR\/tmp_$YEAR
+OUTPATH=$WORKDIR\/files_$YEAR
+
+echo
+echo CHECKING EXISTANCE AND CHECKSUM OF BATCH FILES
+echo
+python $WORKDIR\/check_files.py $PV_PATH $N_BATCHES
+
+mkdir $OUTPATH
+
+python $PATH_TO_SCRIPT_ANNUAL $PV_PATH $ROOFTOPS $AVAIL_AREA $OUTPATH\/$YEAR\_annual_roofs_flat.csv
+
+conda deactivate
+
+echo
+echo FINISHED AT $(date)
diff --git a/EW_scenarios_MMH/baseline_scenario/Compare_versions.ipynb b/EW_scenarios_MMH/baseline_scenario/Compare_versions.ipynb
new file mode 100644
index 0000000..45e4aa2
--- /dev/null
+++ b/EW_scenarios_MMH/baseline_scenario/Compare_versions.ipynb
@@ -0,0 +1,4271 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/home/walch/.local/lib/python3.6/site-packages/dask/config.py:129: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.\n",
+ " data = yaml.load(f.read()) or {}\n",
+ "/home/walch/.local/lib/python3.6/site-packages/distributed/config.py:20: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.\n",
+ " defaults = yaml.load(f)\n"
+ ]
+ }
+ ],
+ "source": [
+ "import pandas as pd\n",
+ "import xarray as xr\n",
+ "import numpy as np\n",
+ "\n",
+ "import os\n",
+ "import time\n",
+ "\n",
+ "from pvlib.tools import cosd\n",
+ "\n",
+ "%matplotlib notebook\n",
+ "import matplotlib.pyplot as plt\n",
+ "import calendar"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "base_fp = '/work/hyenergy/output/solar_potential/technical_potential'\n",
+ "scratch_path = '/scratch/walch/workdir_solar_MMH_base'"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Check roof data"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "ROOF_FP = '/work/hyenergy/output/solar_potential/geographic_potential/CH_ROOFS_all_replaced.csv'\n",
+ "roofs = pd.read_csv( ROOF_FP, usecols = ['DF_UID', 'NEIGUNG', 'AUSRICHTUNG', 'FLAECHE', 'panel_tilt'], nrows = 100 ).set_index('DF_UID')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "AREA_FP = '/work/hyenergy/output/solar_potential/geographic_potential/available_area/PRED_available_area_unc_filled.csv'\n",
+ "av_area = pd.read_csv( AREA_FP, nrows = 100 ).set_index('DF_UID')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "roofs = roofs.merge(av_area[['predicted_area_ratio', 'available_area']], left_index = True, right_index = True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "annual_roofs = pd.read_csv( os.path.join(base_fp, 'pv_potential_annual_shared_v2.csv' ), nrows = 100, index_col = 0 )"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "annual_roofs = annual_roofs.merge(roofs, right_index = True, left_index = True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "flat_idx = annual_roofs.NEIGUNG == 0"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "annual_roofs['avail_area_check'] = annual_roofs.FLAECHE * annual_roofs.predicted_area_ratio"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>pv_potential_kWh_a</th>\n",
+ " <th>pv_potential_kWh_a_std</th>\n",
+ " <th>radiation_kWh_m2_a</th>\n",
+ " <th>radiation_kWh_m2_a_std</th>\n",
+ " <th>available_area_x</th>\n",
+ " <th>FLAECHE</th>\n",
+ " <th>NEIGUNG</th>\n",
+ " <th>AUSRICHTUNG</th>\n",
+ " <th>panel_tilt</th>\n",
+ " <th>predicted_area_ratio</th>\n",
+ " <th>available_area_y</th>\n",
+ " <th>avail_area_check</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>DF_UID</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>33</th>\n",
+ " <td>755.64044</td>\n",
+ " <td>568.564098</td>\n",
+ " <td>909.725904</td>\n",
+ " <td>274.329202</td>\n",
+ " <td>6.049142</td>\n",
+ " <td>27.568645</td>\n",
+ " <td>0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>30</td>\n",
+ " <td>0.219421</td>\n",
+ " <td>6.049142</td>\n",
+ " <td>6.049142</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>50</th>\n",
+ " <td>33961.16000</td>\n",
+ " <td>12176.847445</td>\n",
+ " <td>1264.372155</td>\n",
+ " <td>315.361122</td>\n",
+ " <td>195.664046</td>\n",
+ " <td>681.609660</td>\n",
+ " <td>0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>30</td>\n",
+ " <td>0.287062</td>\n",
+ " <td>195.664046</td>\n",
+ " <td>195.664046</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>51</th>\n",
+ " <td>27828.28300</td>\n",
+ " <td>11263.186266</td>\n",
+ " <td>1206.250716</td>\n",
+ " <td>306.912088</td>\n",
+ " <td>167.634762</td>\n",
+ " <td>609.169499</td>\n",
+ " <td>0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>30</td>\n",
+ " <td>0.275186</td>\n",
+ " <td>167.634762</td>\n",
+ " <td>167.634762</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>52</th>\n",
+ " <td>86477.66000</td>\n",
+ " <td>28481.130289</td>\n",
+ " <td>1234.378943</td>\n",
+ " <td>312.422963</td>\n",
+ " <td>509.592924</td>\n",
+ " <td>1523.273993</td>\n",
+ " <td>0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>30</td>\n",
+ " <td>0.334538</td>\n",
+ " <td>509.592924</td>\n",
+ " <td>509.592924</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>53</th>\n",
+ " <td>73639.91400</td>\n",
+ " <td>27555.158092</td>\n",
+ " <td>1238.888006</td>\n",
+ " <td>312.415642</td>\n",
+ " <td>432.608472</td>\n",
+ " <td>1332.294940</td>\n",
+ " <td>0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>30</td>\n",
+ " <td>0.324709</td>\n",
+ " <td>432.608472</td>\n",
+ " <td>432.608472</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>54</th>\n",
+ " <td>73730.47000</td>\n",
+ " <td>27521.139312</td>\n",
+ " <td>1227.502891</td>\n",
+ " <td>310.515559</td>\n",
+ " <td>436.898517</td>\n",
+ " <td>1344.947851</td>\n",
+ " <td>0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>30</td>\n",
+ " <td>0.324844</td>\n",
+ " <td>436.898517</td>\n",
+ " <td>436.898517</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>63</th>\n",
+ " <td>0.00000</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>1157.566397</td>\n",
+ " <td>308.182618</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>5.166799</td>\n",
+ " <td>0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>30</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>64</th>\n",
+ " <td>703.12317</td>\n",
+ " <td>481.712067</td>\n",
+ " <td>1168.443593</td>\n",
+ " <td>309.889144</td>\n",
+ " <td>4.363081</td>\n",
+ " <td>38.989391</td>\n",
+ " <td>0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>30</td>\n",
+ " <td>0.111904</td>\n",
+ " <td>4.363081</td>\n",
+ " <td>4.363081</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>67</th>\n",
+ " <td>66547.45000</td>\n",
+ " <td>17901.204911</td>\n",
+ " <td>1264.723897</td>\n",
+ " <td>315.899975</td>\n",
+ " <td>383.131916</td>\n",
+ " <td>1018.456320</td>\n",
+ " <td>0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>30</td>\n",
+ " <td>0.376189</td>\n",
+ " <td>383.131916</td>\n",
+ " <td>383.131916</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>68</th>\n",
+ " <td>18070.57600</td>\n",
+ " <td>5934.581173</td>\n",
+ " <td>1232.547800</td>\n",
+ " <td>310.345756</td>\n",
+ " <td>106.627330</td>\n",
+ " <td>350.584181</td>\n",
+ " <td>0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>30</td>\n",
+ " <td>0.304142</td>\n",
+ " <td>106.627330</td>\n",
+ " <td>106.627330</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>69</th>\n",
+ " <td>24788.10500</td>\n",
+ " <td>7877.828584</td>\n",
+ " <td>1057.078615</td>\n",
+ " <td>285.141425</td>\n",
+ " <td>170.264662</td>\n",
+ " <td>552.018229</td>\n",
+ " <td>0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>30</td>\n",
+ " <td>0.308440</td>\n",
+ " <td>170.264662</td>\n",
+ " <td>170.264662</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>76</th>\n",
+ " <td>537.98596</td>\n",
+ " <td>464.750855</td>\n",
+ " <td>955.548419</td>\n",
+ " <td>273.036242</td>\n",
+ " <td>4.071920</td>\n",
+ " <td>45.863031</td>\n",
+ " <td>0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>30</td>\n",
+ " <td>0.088784</td>\n",
+ " <td>4.071920</td>\n",
+ " <td>4.071920</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>78</th>\n",
+ " <td>508.43744</td>\n",
+ " <td>539.594938</td>\n",
+ " <td>813.239051</td>\n",
+ " <td>257.854491</td>\n",
+ " <td>4.534208</td>\n",
+ " <td>73.968605</td>\n",
+ " <td>0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>30</td>\n",
+ " <td>0.061299</td>\n",
+ " <td>4.534208</td>\n",
+ " <td>4.534208</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>82</th>\n",
+ " <td>822.44403</td>\n",
+ " <td>482.448918</td>\n",
+ " <td>1211.308413</td>\n",
+ " <td>312.041915</td>\n",
+ " <td>4.933475</td>\n",
+ " <td>40.704476</td>\n",
+ " <td>0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>30</td>\n",
+ " <td>0.121202</td>\n",
+ " <td>4.933475</td>\n",
+ " <td>4.933475</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>88</th>\n",
+ " <td>1520.37680</td>\n",
+ " <td>1097.360723</td>\n",
+ " <td>1180.490675</td>\n",
+ " <td>309.588841</td>\n",
+ " <td>9.330743</td>\n",
+ " <td>51.579906</td>\n",
+ " <td>0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>30</td>\n",
+ " <td>0.180899</td>\n",
+ " <td>9.330743</td>\n",
+ " <td>9.330743</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " pv_potential_kWh_a pv_potential_kWh_a_std radiation_kWh_m2_a \\\n",
+ "DF_UID \n",
+ "33 755.64044 568.564098 909.725904 \n",
+ "50 33961.16000 12176.847445 1264.372155 \n",
+ "51 27828.28300 11263.186266 1206.250716 \n",
+ "52 86477.66000 28481.130289 1234.378943 \n",
+ "53 73639.91400 27555.158092 1238.888006 \n",
+ "54 73730.47000 27521.139312 1227.502891 \n",
+ "63 0.00000 0.000000 1157.566397 \n",
+ "64 703.12317 481.712067 1168.443593 \n",
+ "67 66547.45000 17901.204911 1264.723897 \n",
+ "68 18070.57600 5934.581173 1232.547800 \n",
+ "69 24788.10500 7877.828584 1057.078615 \n",
+ "76 537.98596 464.750855 955.548419 \n",
+ "78 508.43744 539.594938 813.239051 \n",
+ "82 822.44403 482.448918 1211.308413 \n",
+ "88 1520.37680 1097.360723 1180.490675 \n",
+ "\n",
+ " radiation_kWh_m2_a_std available_area_x FLAECHE NEIGUNG \\\n",
+ "DF_UID \n",
+ "33 274.329202 6.049142 27.568645 0 \n",
+ "50 315.361122 195.664046 681.609660 0 \n",
+ "51 306.912088 167.634762 609.169499 0 \n",
+ "52 312.422963 509.592924 1523.273993 0 \n",
+ "53 312.415642 432.608472 1332.294940 0 \n",
+ "54 310.515559 436.898517 1344.947851 0 \n",
+ "63 308.182618 0.000000 5.166799 0 \n",
+ "64 309.889144 4.363081 38.989391 0 \n",
+ "67 315.899975 383.131916 1018.456320 0 \n",
+ "68 310.345756 106.627330 350.584181 0 \n",
+ "69 285.141425 170.264662 552.018229 0 \n",
+ "76 273.036242 4.071920 45.863031 0 \n",
+ "78 257.854491 4.534208 73.968605 0 \n",
+ "82 312.041915 4.933475 40.704476 0 \n",
+ "88 309.588841 9.330743 51.579906 0 \n",
+ "\n",
+ " AUSRICHTUNG panel_tilt predicted_area_ratio available_area_y \\\n",
+ "DF_UID \n",
+ "33 0.0 30 0.219421 6.049142 \n",
+ "50 0.0 30 0.287062 195.664046 \n",
+ "51 0.0 30 0.275186 167.634762 \n",
+ "52 0.0 30 0.334538 509.592924 \n",
+ "53 0.0 30 0.324709 432.608472 \n",
+ "54 0.0 30 0.324844 436.898517 \n",
+ "63 0.0 30 0.000000 0.000000 \n",
+ "64 0.0 30 0.111904 4.363081 \n",
+ "67 0.0 30 0.376189 383.131916 \n",
+ "68 0.0 30 0.304142 106.627330 \n",
+ "69 0.0 30 0.308440 170.264662 \n",
+ "76 0.0 30 0.088784 4.071920 \n",
+ "78 0.0 30 0.061299 4.534208 \n",
+ "82 0.0 30 0.121202 4.933475 \n",
+ "88 0.0 30 0.180899 9.330743 \n",
+ "\n",
+ " avail_area_check \n",
+ "DF_UID \n",
+ "33 6.049142 \n",
+ "50 195.664046 \n",
+ "51 167.634762 \n",
+ "52 509.592924 \n",
+ "53 432.608472 \n",
+ "54 436.898517 \n",
+ "63 0.000000 \n",
+ "64 4.363081 \n",
+ "67 383.131916 \n",
+ "68 106.627330 \n",
+ "69 170.264662 \n",
+ "76 4.071920 \n",
+ "78 4.534208 \n",
+ "82 4.933475 \n",
+ "88 9.330743 "
+ ]
+ },
+ "execution_count": 10,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "annual_roofs.loc[flat_idx]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Compare redone potential"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
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+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>DF_UID</th>\n",
+ " <th>available_area</th>\n",
+ " <th>BFS_NUMMER</th>\n",
+ " <th>suitable</th>\n",
+ " <th>Gt_kWh_m2</th>\n",
+ " <th>EPV_kWh</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>1</td>\n",
+ " <td>1.437423</td>\n",
+ " <td>2823.0</td>\n",
+ " <td>0</td>\n",
+ " <td>1211.12270</td>\n",
+ " <td>239.79825</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2</td>\n",
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+ " <td>2823.0</td>\n",
+ " <td>0</td>\n",
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+ " <th>2</th>\n",
+ " <td>3</td>\n",
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+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>4</td>\n",
+ " <td>14.224941</td>\n",
+ " <td>2823.0</td>\n",
+ " <td>1</td>\n",
+ " <td>1026.16060</td>\n",
+ " <td>2012.39050</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>5</td>\n",
+ " <td>10.472945</td>\n",
+ " <td>2823.0</td>\n",
+ " <td>0</td>\n",
+ " <td>712.62140</td>\n",
+ " <td>1030.45680</td>\n",
+ " </tr>\n",
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+ "text/plain": [
+ " DF_UID available_area BFS_NUMMER suitable Gt_kWh_m2 EPV_kWh\n",
+ "0 1 1.437423 2823.0 0 1211.12270 239.79825\n",
+ "1 2 0.000000 2823.0 0 475.64154 0.00000\n",
+ "2 3 29.414390 2823.0 1 951.24866 3885.87960\n",
+ "3 4 14.224941 2823.0 1 1026.16060 2012.39050\n",
+ "4 5 10.472945 2823.0 0 712.62140 1030.45680"
+ ]
+ },
+ "execution_count": 24,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "new = pd.read_csv(os.path.join(scratch_path, 'files_MMH_base_all', 'MMH_base_all_annual_roofs_flat.csv'))\n",
+ "new.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "25.415101394924005"
+ ]
+ },
+ "execution_count": 25,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "(new.EPV_kWh * new.suitable).sum()/1e9"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Hourly data"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [
+ {
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+ "\n",
+ ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+ ".xr-var-data-in:checked ~ .xr-var-data {\n",
+ " display: block;\n",
+ "}\n",
+ "\n",
+ ".xr-var-data > table {\n",
+ " float: right;\n",
+ "}\n",
+ "\n",
+ ".xr-var-name span,\n",
+ ".xr-var-data,\n",
+ ".xr-attrs {\n",
+ " padding-left: 25px !important;\n",
+ "}\n",
+ "\n",
+ ".xr-attrs,\n",
+ ".xr-var-attrs,\n",
+ ".xr-var-data {\n",
+ " grid-column: 1 / -1;\n",
+ "}\n",
+ "\n",
+ "dl.xr-attrs {\n",
+ " padding: 0;\n",
+ " margin: 0;\n",
+ " display: grid;\n",
+ " grid-template-columns: 125px auto;\n",
+ "}\n",
+ "\n",
+ ".xr-attrs dt, dd {\n",
+ " padding: 0;\n",
+ " margin: 0;\n",
+ " float: left;\n",
+ " padding-right: 10px;\n",
+ " width: auto;\n",
+ "}\n",
+ "\n",
+ ".xr-attrs dt {\n",
+ " font-weight: normal;\n",
+ " grid-column: 1;\n",
+ "}\n",
+ "\n",
+ ".xr-attrs dt:hover span {\n",
+ " display: inline-block;\n",
+ " background: var(--xr-background-color);\n",
+ " padding-right: 10px;\n",
+ "}\n",
+ "\n",
+ ".xr-attrs dd {\n",
+ " grid-column: 2;\n",
+ " white-space: pre-wrap;\n",
+ " word-break: break-all;\n",
+ "}\n",
+ "\n",
+ ".xr-icon-database,\n",
+ ".xr-icon-file-text2 {\n",
+ " display: inline-block;\n",
+ " vertical-align: middle;\n",
+ " width: 1em;\n",
+ " height: 1.5em !important;\n",
+ " stroke-width: 0;\n",
+ " stroke: currentColor;\n",
+ " fill: currentColor;\n",
+ "}\n",
+ "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+ "Dimensions: (DF_UID: 100, timestamp: 146)\n",
+ "Coordinates:\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T08:00:00 ... 200...\n",
+ " * DF_UID (DF_UID) int64 1 2 3 4 5 6 7 ... 96 97 98 99 100 101 103\n",
+ "Data variables:\n",
+ " pv_potential (DF_UID, timestamp) float64 7.757 11.01 ... 981.6\n",
+ " tilted_irradiance (DF_UID, timestamp) float64 39.1 53.29 ... 144.0 85.67</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c29a5e5c-c369-40ba-806e-917ff0260c7c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c29a5e5c-c369-40ba-806e-917ff0260c7c' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>DF_UID</span>: 100</li><li><span class='xr-has-index'>timestamp</span>: 146</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a2ea9067-d016-40b2-ac1f-4928b49a0ddc' class='xr-section-summary-in' type='checkbox' checked><label for='section-a2ea9067-d016-40b2-ac1f-4928b49a0ddc' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>timestamp</span></div><div class='xr-var-dims'>(timestamp)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2001-01-15T08:00:00 ... 2001-12-...</div><input id='attrs-ee269f9d-16d5-4394-b9bc-2bc6cd0843ca' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ee269f9d-16d5-4394-b9bc-2bc6cd0843ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-624ee00f-8084-4a52-82ea-ae19584f329f' class='xr-var-data-in' type='checkbox'><label for='data-624ee00f-8084-4a52-82ea-ae19584f329f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2001-01-15T08:00:00.000000000&#x27;, &#x27;2001-01-15T09:00:00.000000000&#x27;,\n",
+ " &#x27;2001-01-15T10:00:00.000000000&#x27;, &#x27;2001-01-15T11:00:00.000000000&#x27;,\n",
+ " &#x27;2001-01-15T12:00:00.000000000&#x27;, &#x27;2001-01-15T13:00:00.000000000&#x27;,\n",
+ " &#x27;2001-01-15T14:00:00.000000000&#x27;, &#x27;2001-01-15T15:00:00.000000000&#x27;,\n",
+ " &#x27;2001-01-15T16:00:00.000000000&#x27;, &#x27;2001-02-15T07:00:00.000000000&#x27;,\n",
+ " &#x27;2001-02-15T08:00:00.000000000&#x27;, &#x27;2001-02-15T09:00:00.000000000&#x27;,\n",
+ " &#x27;2001-02-15T10:00:00.000000000&#x27;, &#x27;2001-02-15T11:00:00.000000000&#x27;,\n",
+ " &#x27;2001-02-15T12:00:00.000000000&#x27;, &#x27;2001-02-15T13:00:00.000000000&#x27;,\n",
+ " &#x27;2001-02-15T14:00:00.000000000&#x27;, &#x27;2001-02-15T15:00:00.000000000&#x27;,\n",
+ " &#x27;2001-02-15T16:00:00.000000000&#x27;, &#x27;2001-03-15T06:00:00.000000000&#x27;,\n",
+ " &#x27;2001-03-15T07:00:00.000000000&#x27;, &#x27;2001-03-15T08:00:00.000000000&#x27;,\n",
+ " &#x27;2001-03-15T09:00:00.000000000&#x27;, &#x27;2001-03-15T10:00:00.000000000&#x27;,\n",
+ " &#x27;2001-03-15T11:00:00.000000000&#x27;, &#x27;2001-03-15T12:00:00.000000000&#x27;,\n",
+ " &#x27;2001-03-15T13:00:00.000000000&#x27;, &#x27;2001-03-15T14:00:00.000000000&#x27;,\n",
+ " &#x27;2001-03-15T15:00:00.000000000&#x27;, &#x27;2001-03-15T16:00:00.000000000&#x27;,\n",
+ " &#x27;2001-03-15T17:00:00.000000000&#x27;, &#x27;2001-04-15T05:00:00.000000000&#x27;,\n",
+ " &#x27;2001-04-15T06:00:00.000000000&#x27;, &#x27;2001-04-15T07:00:00.000000000&#x27;,\n",
+ " &#x27;2001-04-15T08:00:00.000000000&#x27;, &#x27;2001-04-15T09:00:00.000000000&#x27;,\n",
+ " &#x27;2001-04-15T10:00:00.000000000&#x27;, &#x27;2001-04-15T11:00:00.000000000&#x27;,\n",
+ " &#x27;2001-04-15T12:00:00.000000000&#x27;, &#x27;2001-04-15T13:00:00.000000000&#x27;,\n",
+ " &#x27;2001-04-15T14:00:00.000000000&#x27;, &#x27;2001-04-15T15:00:00.000000000&#x27;,\n",
+ " &#x27;2001-04-15T16:00:00.000000000&#x27;, &#x27;2001-04-15T17:00:00.000000000&#x27;,\n",
+ " &#x27;2001-04-15T18:00:00.000000000&#x27;, &#x27;2001-05-15T04:00:00.000000000&#x27;,\n",
+ " &#x27;2001-05-15T05:00:00.000000000&#x27;, &#x27;2001-05-15T06:00:00.000000000&#x27;,\n",
+ " &#x27;2001-05-15T07:00:00.000000000&#x27;, &#x27;2001-05-15T08:00:00.000000000&#x27;,\n",
+ " &#x27;2001-05-15T09:00:00.000000000&#x27;, &#x27;2001-05-15T10:00:00.000000000&#x27;,\n",
+ " &#x27;2001-05-15T11:00:00.000000000&#x27;, &#x27;2001-05-15T12:00:00.000000000&#x27;,\n",
+ " &#x27;2001-05-15T13:00:00.000000000&#x27;, &#x27;2001-05-15T14:00:00.000000000&#x27;,\n",
+ " &#x27;2001-05-15T15:00:00.000000000&#x27;, &#x27;2001-05-15T16:00:00.000000000&#x27;,\n",
+ " &#x27;2001-05-15T17:00:00.000000000&#x27;, &#x27;2001-05-15T18:00:00.000000000&#x27;,\n",
+ " &#x27;2001-06-15T04:00:00.000000000&#x27;, &#x27;2001-06-15T05:00:00.000000000&#x27;,\n",
+ " &#x27;2001-06-15T06:00:00.000000000&#x27;, &#x27;2001-06-15T07:00:00.000000000&#x27;,\n",
+ " &#x27;2001-06-15T08:00:00.000000000&#x27;, &#x27;2001-06-15T09:00:00.000000000&#x27;,\n",
+ " &#x27;2001-06-15T10:00:00.000000000&#x27;, &#x27;2001-06-15T11:00:00.000000000&#x27;,\n",
+ " &#x27;2001-06-15T12:00:00.000000000&#x27;, &#x27;2001-06-15T13:00:00.000000000&#x27;,\n",
+ " &#x27;2001-06-15T14:00:00.000000000&#x27;, &#x27;2001-06-15T15:00:00.000000000&#x27;,\n",
+ " &#x27;2001-06-15T16:00:00.000000000&#x27;, &#x27;2001-06-15T17:00:00.000000000&#x27;,\n",
+ " &#x27;2001-06-15T18:00:00.000000000&#x27;, &#x27;2001-06-15T19:00:00.000000000&#x27;,\n",
+ " &#x27;2001-07-15T04:00:00.000000000&#x27;, &#x27;2001-07-15T05:00:00.000000000&#x27;,\n",
+ " &#x27;2001-07-15T06:00:00.000000000&#x27;, &#x27;2001-07-15T07:00:00.000000000&#x27;,\n",
+ " &#x27;2001-07-15T08:00:00.000000000&#x27;, &#x27;2001-07-15T09:00:00.000000000&#x27;,\n",
+ " &#x27;2001-07-15T10:00:00.000000000&#x27;, &#x27;2001-07-15T11:00:00.000000000&#x27;,\n",
+ " &#x27;2001-07-15T12:00:00.000000000&#x27;, &#x27;2001-07-15T13:00:00.000000000&#x27;,\n",
+ " &#x27;2001-07-15T14:00:00.000000000&#x27;, &#x27;2001-07-15T15:00:00.000000000&#x27;,\n",
+ " &#x27;2001-07-15T16:00:00.000000000&#x27;, &#x27;2001-07-15T17:00:00.000000000&#x27;,\n",
+ " &#x27;2001-07-15T18:00:00.000000000&#x27;, &#x27;2001-07-15T19:00:00.000000000&#x27;,\n",
+ " &#x27;2001-08-15T05:00:00.000000000&#x27;, &#x27;2001-08-15T06:00:00.000000000&#x27;,\n",
+ " &#x27;2001-08-15T07:00:00.000000000&#x27;, &#x27;2001-08-15T08:00:00.000000000&#x27;,\n",
+ " &#x27;2001-08-15T09:00:00.000000000&#x27;, &#x27;2001-08-15T10:00:00.000000000&#x27;,\n",
+ " &#x27;2001-08-15T11:00:00.000000000&#x27;, &#x27;2001-08-15T12:00:00.000000000&#x27;,\n",
+ " &#x27;2001-08-15T13:00:00.000000000&#x27;, &#x27;2001-08-15T14:00:00.000000000&#x27;,\n",
+ " &#x27;2001-08-15T15:00:00.000000000&#x27;, &#x27;2001-08-15T16:00:00.000000000&#x27;,\n",
+ " &#x27;2001-08-15T17:00:00.000000000&#x27;, &#x27;2001-08-15T18:00:00.000000000&#x27;,\n",
+ " &#x27;2001-09-15T06:00:00.000000000&#x27;, &#x27;2001-09-15T07:00:00.000000000&#x27;,\n",
+ " &#x27;2001-09-15T08:00:00.000000000&#x27;, &#x27;2001-09-15T09:00:00.000000000&#x27;,\n",
+ " &#x27;2001-09-15T10:00:00.000000000&#x27;, &#x27;2001-09-15T11:00:00.000000000&#x27;,\n",
+ " &#x27;2001-09-15T12:00:00.000000000&#x27;, &#x27;2001-09-15T13:00:00.000000000&#x27;,\n",
+ " &#x27;2001-09-15T14:00:00.000000000&#x27;, &#x27;2001-09-15T15:00:00.000000000&#x27;,\n",
+ " &#x27;2001-09-15T16:00:00.000000000&#x27;, &#x27;2001-09-15T17:00:00.000000000&#x27;,\n",
+ " &#x27;2001-10-15T06:00:00.000000000&#x27;, &#x27;2001-10-15T07:00:00.000000000&#x27;,\n",
+ " &#x27;2001-10-15T08:00:00.000000000&#x27;, &#x27;2001-10-15T09:00:00.000000000&#x27;,\n",
+ " &#x27;2001-10-15T10:00:00.000000000&#x27;, &#x27;2001-10-15T11:00:00.000000000&#x27;,\n",
+ " &#x27;2001-10-15T12:00:00.000000000&#x27;, &#x27;2001-10-15T13:00:00.000000000&#x27;,\n",
+ " &#x27;2001-10-15T14:00:00.000000000&#x27;, &#x27;2001-10-15T15:00:00.000000000&#x27;,\n",
+ " &#x27;2001-10-15T16:00:00.000000000&#x27;, &#x27;2001-11-15T07:00:00.000000000&#x27;,\n",
+ " &#x27;2001-11-15T08:00:00.000000000&#x27;, &#x27;2001-11-15T09:00:00.000000000&#x27;,\n",
+ " &#x27;2001-11-15T10:00:00.000000000&#x27;, &#x27;2001-11-15T11:00:00.000000000&#x27;,\n",
+ " &#x27;2001-11-15T12:00:00.000000000&#x27;, &#x27;2001-11-15T13:00:00.000000000&#x27;,\n",
+ " &#x27;2001-11-15T14:00:00.000000000&#x27;, &#x27;2001-11-15T15:00:00.000000000&#x27;,\n",
+ " &#x27;2001-12-15T08:00:00.000000000&#x27;, &#x27;2001-12-15T09:00:00.000000000&#x27;,\n",
+ " &#x27;2001-12-15T10:00:00.000000000&#x27;, &#x27;2001-12-15T11:00:00.000000000&#x27;,\n",
+ " &#x27;2001-12-15T12:00:00.000000000&#x27;, &#x27;2001-12-15T13:00:00.000000000&#x27;,\n",
+ " &#x27;2001-12-15T14:00:00.000000000&#x27;, &#x27;2001-12-15T15:00:00.000000000&#x27;],\n",
+ " dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>DF_UID</span></div><div class='xr-var-dims'>(DF_UID)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 ... 98 99 100 101 103</div><input id='attrs-82470b87-bd4b-4ee8-a739-d79ad62b012d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-82470b87-bd4b-4ee8-a739-d79ad62b012d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-975b3259-86ed-4ae9-bf14-590a31b9d0e2' class='xr-var-data-in' type='checkbox'><label for='data-975b3259-86ed-4ae9-bf14-590a31b9d0e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 15,\n",
+ " 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29,\n",
+ " 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43,\n",
+ " 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57,\n",
+ " 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
+ " 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85,\n",
+ " 86, 87, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100,\n",
+ " 101, 103])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-636a2ec2-2cb3-4471-9efe-0df53f6e2ae5' class='xr-section-summary-in' type='checkbox' checked><label for='section-636a2ec2-2cb3-4471-9efe-0df53f6e2ae5' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>pv_potential</span></div><div class='xr-var-dims'>(DF_UID, timestamp)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9b3b783c-1fe1-4a5a-b760-521a04f138b8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9b3b783c-1fe1-4a5a-b760-521a04f138b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1656510-44fb-4913-8e31-73aa849539d8' class='xr-var-data-in' type='checkbox'><label for='data-a1656510-44fb-4913-8e31-73aa849539d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 7.757415, 11.006083, 47.835709, ..., 50.159508, 37.117451,\n",
+ " 7.239184],\n",
+ " [ 0. , 0. , 0. , ..., 0. , 0. ,\n",
+ " 0. ],\n",
+ " [ 318.266324, 468.767707, 591.29205 , ..., 378.877902, 147.953763,\n",
+ " 17.88837 ],\n",
+ " ...,\n",
+ " [ 102.620693, 243.605738, 325.90222 , ..., 294.396979, 197.522361,\n",
+ " 54.660757],\n",
+ " [1027.731967, 1319.420083, 1614.987912, ..., 1296.360774, 836.678236,\n",
+ " 386.083325],\n",
+ " [1523.972124, 2101.485549, 2683.623974, ..., 2457.312815, 1675.322542,\n",
+ " 981.632944]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tilted_irradiance</span></div><div class='xr-var-dims'>(DF_UID, timestamp)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b4766044-4dd4-4d35-a2d5-48e40d1050c6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b4766044-4dd4-4d35-a2d5-48e40d1050c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a3b35b1-84fa-418e-8e8d-98a610b17040' class='xr-var-data-in' type='checkbox'><label for='data-9a3b35b1-84fa-418e-8e8d-98a610b17040' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 39.099693, 53.290199, 220.471095, ..., 231.454747, 170.513563,\n",
+ " 36.978759],\n",
+ " [ 17.972807, 34.638243, 44.99783 , ..., 41.221256, 29.333611,\n",
+ " 12.490149],\n",
+ " [ 73.267995, 105.988119, 132.94804 , ..., 86.384926, 36.932913,\n",
+ " 9.872145],\n",
+ " ...,\n",
+ " [ 18.866148, 36.710868, 47.201746, ..., 43.299825, 30.97221 ,\n",
+ " 12.990529],\n",
+ " [148.242159, 190.412153, 233.963817, ..., 187.752573, 121.486735,\n",
+ " 58.369002],\n",
+ " [130.631966, 179.851835, 230.602318, ..., 211.542379, 143.956834,\n",
+ " 85.671825]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6578293a-abbc-4485-abe9-6867d813ca67' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6578293a-abbc-4485-abe9-6867d813ca67' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+ ],
+ "text/plain": [
+ "<xarray.Dataset>\n",
+ "Dimensions: (DF_UID: 100, timestamp: 146)\n",
+ "Coordinates:\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T08:00:00 ... 200...\n",
+ " * DF_UID (DF_UID) int64 1 2 3 4 5 6 7 ... 96 97 98 99 100 101 103\n",
+ "Data variables:\n",
+ " pv_potential (DF_UID, timestamp) float64 ...\n",
+ " tilted_irradiance (DF_UID, timestamp) float64 ..."
+ ]
+ },
+ "execution_count": 11,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "V0_redone = xr.open_dataset( os.path.join(scratch_path, 'files_test', 'old_version_0.nc') )[['pv_potential', \n",
+ " 'tilted_irradiance']]\n",
+ "V0_redone"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+ "<defs>\n",
+ "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
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+ "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
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+ "</symbol>\n",
+ "</defs>\n",
+ "</svg>\n",
+ "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+ " *\n",
+ " */\n",
+ "\n",
+ ":root {\n",
+ " --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
+ " --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
+ " --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
+ " --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
+ " --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
+ " --xr-background-color: var(--jp-layout-color0, white);\n",
+ " --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+ " --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+ "}\n",
+ "\n",
+ "html[theme=dark],\n",
+ "body.vscode-dark {\n",
+ " --xr-font-color0: rgba(255, 255, 255, 1);\n",
+ " --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
+ " --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
+ " --xr-border-color: #1F1F1F;\n",
+ " --xr-disabled-color: #515151;\n",
+ " --xr-background-color: #111111;\n",
+ " --xr-background-color-row-even: #111111;\n",
+ " --xr-background-color-row-odd: #313131;\n",
+ "}\n",
+ "\n",
+ ".xr-wrap {\n",
+ " display: block;\n",
+ " min-width: 300px;\n",
+ " max-width: 700px;\n",
+ "}\n",
+ "\n",
+ ".xr-text-repr-fallback {\n",
+ " /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+ " display: none;\n",
+ "}\n",
+ "\n",
+ ".xr-header {\n",
+ " padding-top: 6px;\n",
+ " padding-bottom: 6px;\n",
+ " margin-bottom: 4px;\n",
+ " border-bottom: solid 1px var(--xr-border-color);\n",
+ "}\n",
+ "\n",
+ ".xr-header > div,\n",
+ ".xr-header > ul {\n",
+ " display: inline;\n",
+ " margin-top: 0;\n",
+ " margin-bottom: 0;\n",
+ "}\n",
+ "\n",
+ ".xr-obj-type,\n",
+ ".xr-array-name {\n",
+ " margin-left: 2px;\n",
+ " margin-right: 10px;\n",
+ "}\n",
+ "\n",
+ ".xr-obj-type {\n",
+ " color: var(--xr-font-color2);\n",
+ "}\n",
+ "\n",
+ ".xr-sections {\n",
+ " padding-left: 0 !important;\n",
+ " display: grid;\n",
+ " grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+ "}\n",
+ "\n",
+ ".xr-section-item {\n",
+ " display: contents;\n",
+ "}\n",
+ "\n",
+ ".xr-section-item input {\n",
+ " display: none;\n",
+ "}\n",
+ "\n",
+ ".xr-section-item input + label {\n",
+ " color: var(--xr-disabled-color);\n",
+ "}\n",
+ "\n",
+ ".xr-section-item input:enabled + label {\n",
+ " cursor: pointer;\n",
+ " color: var(--xr-font-color2);\n",
+ "}\n",
+ "\n",
+ ".xr-section-item input:enabled + label:hover {\n",
+ " color: var(--xr-font-color0);\n",
+ "}\n",
+ "\n",
+ ".xr-section-summary {\n",
+ " grid-column: 1;\n",
+ " color: var(--xr-font-color2);\n",
+ " font-weight: 500;\n",
+ "}\n",
+ "\n",
+ ".xr-section-summary > span {\n",
+ " display: inline-block;\n",
+ " padding-left: 0.5em;\n",
+ "}\n",
+ "\n",
+ ".xr-section-summary-in:disabled + label {\n",
+ " color: var(--xr-font-color2);\n",
+ "}\n",
+ "\n",
+ ".xr-section-summary-in + label:before {\n",
+ " display: inline-block;\n",
+ " content: '►';\n",
+ " font-size: 11px;\n",
+ " width: 15px;\n",
+ " text-align: center;\n",
+ "}\n",
+ "\n",
+ ".xr-section-summary-in:disabled + label:before {\n",
+ " color: var(--xr-disabled-color);\n",
+ "}\n",
+ "\n",
+ ".xr-section-summary-in:checked + label:before {\n",
+ " content: '▼';\n",
+ "}\n",
+ "\n",
+ ".xr-section-summary-in:checked + label > span {\n",
+ " display: none;\n",
+ "}\n",
+ "\n",
+ ".xr-section-summary,\n",
+ ".xr-section-inline-details {\n",
+ " padding-top: 4px;\n",
+ " padding-bottom: 4px;\n",
+ "}\n",
+ "\n",
+ ".xr-section-inline-details {\n",
+ " grid-column: 2 / -1;\n",
+ "}\n",
+ "\n",
+ ".xr-section-details {\n",
+ " display: none;\n",
+ " grid-column: 1 / -1;\n",
+ " margin-bottom: 5px;\n",
+ "}\n",
+ "\n",
+ ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+ " display: contents;\n",
+ "}\n",
+ "\n",
+ ".xr-array-wrap {\n",
+ " grid-column: 1 / -1;\n",
+ " display: grid;\n",
+ " grid-template-columns: 20px auto;\n",
+ "}\n",
+ "\n",
+ ".xr-array-wrap > label {\n",
+ " grid-column: 1;\n",
+ " vertical-align: top;\n",
+ "}\n",
+ "\n",
+ ".xr-preview {\n",
+ " color: var(--xr-font-color3);\n",
+ "}\n",
+ "\n",
+ ".xr-array-preview,\n",
+ ".xr-array-data {\n",
+ " padding: 0 5px !important;\n",
+ " grid-column: 2;\n",
+ "}\n",
+ "\n",
+ ".xr-array-data,\n",
+ ".xr-array-in:checked ~ .xr-array-preview {\n",
+ " display: none;\n",
+ "}\n",
+ "\n",
+ ".xr-array-in:checked ~ .xr-array-data,\n",
+ ".xr-array-preview {\n",
+ " display: inline-block;\n",
+ "}\n",
+ "\n",
+ ".xr-dim-list {\n",
+ " display: inline-block !important;\n",
+ " list-style: none;\n",
+ " padding: 0 !important;\n",
+ " margin: 0;\n",
+ "}\n",
+ "\n",
+ ".xr-dim-list li {\n",
+ " display: inline-block;\n",
+ " padding: 0;\n",
+ " margin: 0;\n",
+ "}\n",
+ "\n",
+ ".xr-dim-list:before {\n",
+ " content: '(';\n",
+ "}\n",
+ "\n",
+ ".xr-dim-list:after {\n",
+ " content: ')';\n",
+ "}\n",
+ "\n",
+ ".xr-dim-list li:not(:last-child):after {\n",
+ " content: ',';\n",
+ " padding-right: 5px;\n",
+ "}\n",
+ "\n",
+ ".xr-has-index {\n",
+ " font-weight: bold;\n",
+ "}\n",
+ "\n",
+ ".xr-var-list,\n",
+ ".xr-var-item {\n",
+ " display: contents;\n",
+ "}\n",
+ "\n",
+ ".xr-var-item > div,\n",
+ ".xr-var-item label,\n",
+ ".xr-var-item > .xr-var-name span {\n",
+ " background-color: var(--xr-background-color-row-even);\n",
+ " margin-bottom: 0;\n",
+ "}\n",
+ "\n",
+ ".xr-var-item > .xr-var-name:hover span {\n",
+ " padding-right: 5px;\n",
+ "}\n",
+ "\n",
+ ".xr-var-list > li:nth-child(odd) > div,\n",
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+ ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+ " background-color: var(--xr-background-color-row-odd);\n",
+ "}\n",
+ "\n",
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+ " grid-column: 1;\n",
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+ "}\n",
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+ " grid-column: 4;\n",
+ "}\n",
+ "\n",
+ ".xr-var-name,\n",
+ ".xr-var-dims,\n",
+ ".xr-var-dtype,\n",
+ ".xr-preview,\n",
+ ".xr-attrs dt {\n",
+ " white-space: nowrap;\n",
+ " overflow: hidden;\n",
+ " text-overflow: ellipsis;\n",
+ " padding-right: 10px;\n",
+ "}\n",
+ "\n",
+ ".xr-var-name:hover,\n",
+ ".xr-var-dims:hover,\n",
+ ".xr-var-dtype:hover,\n",
+ ".xr-attrs dt:hover {\n",
+ " overflow: visible;\n",
+ " width: auto;\n",
+ " z-index: 1;\n",
+ "}\n",
+ "\n",
+ ".xr-var-attrs,\n",
+ ".xr-var-data {\n",
+ " display: none;\n",
+ " background-color: var(--xr-background-color) !important;\n",
+ " padding-bottom: 5px !important;\n",
+ "}\n",
+ "\n",
+ ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+ ".xr-var-data-in:checked ~ .xr-var-data {\n",
+ " display: block;\n",
+ "}\n",
+ "\n",
+ ".xr-var-data > table {\n",
+ " float: right;\n",
+ "}\n",
+ "\n",
+ ".xr-var-name span,\n",
+ ".xr-var-data,\n",
+ ".xr-attrs {\n",
+ " padding-left: 25px !important;\n",
+ "}\n",
+ "\n",
+ ".xr-attrs,\n",
+ ".xr-var-attrs,\n",
+ ".xr-var-data {\n",
+ " grid-column: 1 / -1;\n",
+ "}\n",
+ "\n",
+ "dl.xr-attrs {\n",
+ " padding: 0;\n",
+ " margin: 0;\n",
+ " display: grid;\n",
+ " grid-template-columns: 125px auto;\n",
+ "}\n",
+ "\n",
+ ".xr-attrs dt, dd {\n",
+ " padding: 0;\n",
+ " margin: 0;\n",
+ " float: left;\n",
+ " padding-right: 10px;\n",
+ " width: auto;\n",
+ "}\n",
+ "\n",
+ ".xr-attrs dt {\n",
+ " font-weight: normal;\n",
+ " grid-column: 1;\n",
+ "}\n",
+ "\n",
+ ".xr-attrs dt:hover span {\n",
+ " display: inline-block;\n",
+ " background: var(--xr-background-color);\n",
+ " padding-right: 10px;\n",
+ "}\n",
+ "\n",
+ ".xr-attrs dd {\n",
+ " grid-column: 2;\n",
+ " white-space: pre-wrap;\n",
+ " word-break: break-all;\n",
+ "}\n",
+ "\n",
+ ".xr-icon-database,\n",
+ ".xr-icon-file-text2 {\n",
+ " display: inline-block;\n",
+ " vertical-align: middle;\n",
+ " width: 1em;\n",
+ " height: 1.5em !important;\n",
+ " stroke-width: 0;\n",
+ " stroke: currentColor;\n",
+ " fill: currentColor;\n",
+ "}\n",
+ "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+ "Dimensions: (DF_UID: 100, timestamp: 146)\n",
+ "Coordinates:\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T08:00:00 ... 200...\n",
+ " * DF_UID (DF_UID) int64 1 2 3 4 5 6 7 ... 96 97 98 99 100 101 103\n",
+ "Data variables:\n",
+ " pv_potential (DF_UID, timestamp) float32 7.757415 ... 981.633\n",
+ " tilted_irradiance (DF_UID, timestamp) float64 39.1 53.29 ... 144.0 85.67</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ac4d0dae-3619-4b33-ad6e-0822cbcc60bc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ac4d0dae-3619-4b33-ad6e-0822cbcc60bc' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>DF_UID</span>: 100</li><li><span class='xr-has-index'>timestamp</span>: 146</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3a486f7e-1c18-4618-94ff-c817923e73aa' class='xr-section-summary-in' type='checkbox' checked><label for='section-3a486f7e-1c18-4618-94ff-c817923e73aa' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>timestamp</span></div><div class='xr-var-dims'>(timestamp)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2001-01-15T08:00:00 ... 2001-12-...</div><input id='attrs-0d06695f-8bcb-4e8e-9c1f-82d9e84f414c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0d06695f-8bcb-4e8e-9c1f-82d9e84f414c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3ebfced-9808-4b5f-9221-c2be5e599695' class='xr-var-data-in' type='checkbox'><label for='data-e3ebfced-9808-4b5f-9221-c2be5e599695' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2001-01-15T08:00:00.000000000&#x27;, &#x27;2001-01-15T09:00:00.000000000&#x27;,\n",
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+ " &#x27;2001-01-15T14:00:00.000000000&#x27;, &#x27;2001-01-15T15:00:00.000000000&#x27;,\n",
+ " &#x27;2001-01-15T16:00:00.000000000&#x27;, &#x27;2001-02-15T07:00:00.000000000&#x27;,\n",
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+ " &#x27;2001-02-15T12:00:00.000000000&#x27;, &#x27;2001-02-15T13:00:00.000000000&#x27;,\n",
+ " &#x27;2001-02-15T14:00:00.000000000&#x27;, &#x27;2001-02-15T15:00:00.000000000&#x27;,\n",
+ " &#x27;2001-02-15T16:00:00.000000000&#x27;, &#x27;2001-03-15T06:00:00.000000000&#x27;,\n",
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+ " &#x27;2001-05-15T15:00:00.000000000&#x27;, &#x27;2001-05-15T16:00:00.000000000&#x27;,\n",
+ " &#x27;2001-05-15T17:00:00.000000000&#x27;, &#x27;2001-05-15T18:00:00.000000000&#x27;,\n",
+ " &#x27;2001-06-15T04:00:00.000000000&#x27;, &#x27;2001-06-15T05:00:00.000000000&#x27;,\n",
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+ " &#x27;2001-07-15T04:00:00.000000000&#x27;, &#x27;2001-07-15T05:00:00.000000000&#x27;,\n",
+ " &#x27;2001-07-15T06:00:00.000000000&#x27;, &#x27;2001-07-15T07:00:00.000000000&#x27;,\n",
+ " &#x27;2001-07-15T08:00:00.000000000&#x27;, &#x27;2001-07-15T09:00:00.000000000&#x27;,\n",
+ " &#x27;2001-07-15T10:00:00.000000000&#x27;, &#x27;2001-07-15T11:00:00.000000000&#x27;,\n",
+ " &#x27;2001-07-15T12:00:00.000000000&#x27;, &#x27;2001-07-15T13:00:00.000000000&#x27;,\n",
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+ " dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>DF_UID</span></div><div class='xr-var-dims'>(DF_UID)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 ... 98 99 100 101 103</div><input id='attrs-52226ed2-7fae-4a6d-8a72-97715471f35f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-52226ed2-7fae-4a6d-8a72-97715471f35f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1ebb523-6f2f-4f9d-9395-a7cbd660cd4e' class='xr-var-data-in' type='checkbox'><label for='data-a1ebb523-6f2f-4f9d-9395-a7cbd660cd4e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 15,\n",
+ " 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29,\n",
+ " 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43,\n",
+ " 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57,\n",
+ " 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
+ " 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85,\n",
+ " 86, 87, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100,\n",
+ " 101, 103])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2b62693b-231b-450a-81cc-ba24f7029eb0' class='xr-section-summary-in' type='checkbox' checked><label for='section-2b62693b-231b-450a-81cc-ba24f7029eb0' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>pv_potential</span></div><div class='xr-var-dims'>(DF_UID, timestamp)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>7.757415 11.0060835 ... 981.633</div><input id='attrs-425abc70-5285-412f-82a9-22bdb41161fe' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-425abc70-5285-412f-82a9-22bdb41161fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd2b12ff-9f1a-4771-87cd-887ab9cd96ea' class='xr-var-data-in' type='checkbox'><label for='data-bd2b12ff-9f1a-4771-87cd-887ab9cd96ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 7.757415 , 11.0060835, 47.83571 , ..., 50.159504 ,\n",
+ " 37.11745 , 7.2391844],\n",
+ " [ 0. , 0. , 0. , ..., 0. ,\n",
+ " 0. , 0. ],\n",
+ " [ 318.26633 , 468.7677 , 591.29205 , ..., 378.8779 ,\n",
+ " 147.95377 , 17.88837 ],\n",
+ " ...,\n",
+ " [ 102.62069 , 243.60573 , 325.90222 , ..., 294.39697 ,\n",
+ " 197.52235 , 54.660755 ],\n",
+ " [1027.7319 , 1319.4202 , 1614.9879 , ..., 1296.3607 ,\n",
+ " 836.6782 , 386.0833 ],\n",
+ " [1523.9722 , 2101.4856 , 2683.624 , ..., 2457.3127 ,\n",
+ " 1675.3225 , 981.633 ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tilted_irradiance</span></div><div class='xr-var-dims'>(DF_UID, timestamp)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0bdbe196-7296-469e-8e48-71f3da3415ca' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0bdbe196-7296-469e-8e48-71f3da3415ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8821c61d-e4fa-438c-9d56-129efcb1bea7' class='xr-var-data-in' type='checkbox'><label for='data-8821c61d-e4fa-438c-9d56-129efcb1bea7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 39.099692, 53.290201, 220.471093, ..., 231.454747, 170.513566,\n",
+ " 36.97876 ],\n",
+ " [ 17.972807, 34.638244, 44.99783 , ..., 41.221256, 29.333612,\n",
+ " 12.490148],\n",
+ " [ 73.267993, 105.988116, 132.94804 , ..., 86.384923, 36.932914,\n",
+ " 9.872145],\n",
+ " ...,\n",
+ " [ 18.866148, 36.710868, 47.201745, ..., 43.299823, 30.972209,\n",
+ " 12.990529],\n",
+ " [148.242163, 190.412152, 233.963818, ..., 187.752568, 121.486734,\n",
+ " 58.369 ],\n",
+ " [130.631965, 179.851837, 230.602317, ..., 211.542384, 143.956836,\n",
+ " 85.671826]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e4e18fb6-0a6c-4e18-8d6d-1490f769960e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e4e18fb6-0a6c-4e18-8d6d-1490f769960e' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
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+ "source": [
+ "irrad_fp = '/work/hyenergy/output/solar_potential/geographic_potential/tilted_irradiance'\n",
+ "V0_pv = xr.open_dataset( os.path.join(base_fp , 'pv_potential_ELM50_1000_dhm25_200_SVF_eff_nobias.nc' )\n",
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+ ".xr-var-dtype {\n",
+ " grid-column: 3;\n",
+ " text-align: right;\n",
+ " color: var(--xr-font-color2);\n",
+ "}\n",
+ "\n",
+ ".xr-var-preview {\n",
+ " grid-column: 4;\n",
+ "}\n",
+ "\n",
+ ".xr-var-name,\n",
+ ".xr-var-dims,\n",
+ ".xr-var-dtype,\n",
+ ".xr-preview,\n",
+ ".xr-attrs dt {\n",
+ " white-space: nowrap;\n",
+ " overflow: hidden;\n",
+ " text-overflow: ellipsis;\n",
+ " padding-right: 10px;\n",
+ "}\n",
+ "\n",
+ ".xr-var-name:hover,\n",
+ ".xr-var-dims:hover,\n",
+ ".xr-var-dtype:hover,\n",
+ ".xr-attrs dt:hover {\n",
+ " overflow: visible;\n",
+ " width: auto;\n",
+ " z-index: 1;\n",
+ "}\n",
+ "\n",
+ ".xr-var-attrs,\n",
+ ".xr-var-data {\n",
+ " display: none;\n",
+ " background-color: var(--xr-background-color) !important;\n",
+ " padding-bottom: 5px !important;\n",
+ "}\n",
+ "\n",
+ ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+ ".xr-var-data-in:checked ~ .xr-var-data {\n",
+ " display: block;\n",
+ "}\n",
+ "\n",
+ ".xr-var-data > table {\n",
+ " float: right;\n",
+ "}\n",
+ "\n",
+ ".xr-var-name span,\n",
+ ".xr-var-data,\n",
+ ".xr-attrs {\n",
+ " padding-left: 25px !important;\n",
+ "}\n",
+ "\n",
+ ".xr-attrs,\n",
+ ".xr-var-attrs,\n",
+ ".xr-var-data {\n",
+ " grid-column: 1 / -1;\n",
+ "}\n",
+ "\n",
+ "dl.xr-attrs {\n",
+ " padding: 0;\n",
+ " margin: 0;\n",
+ " display: grid;\n",
+ " grid-template-columns: 125px auto;\n",
+ "}\n",
+ "\n",
+ ".xr-attrs dt, dd {\n",
+ " padding: 0;\n",
+ " margin: 0;\n",
+ " float: left;\n",
+ " padding-right: 10px;\n",
+ " width: auto;\n",
+ "}\n",
+ "\n",
+ ".xr-attrs dt {\n",
+ " font-weight: normal;\n",
+ " grid-column: 1;\n",
+ "}\n",
+ "\n",
+ ".xr-attrs dt:hover span {\n",
+ " display: inline-block;\n",
+ " background: var(--xr-background-color);\n",
+ " padding-right: 10px;\n",
+ "}\n",
+ "\n",
+ ".xr-attrs dd {\n",
+ " grid-column: 2;\n",
+ " white-space: pre-wrap;\n",
+ " word-break: break-all;\n",
+ "}\n",
+ "\n",
+ ".xr-icon-database,\n",
+ ".xr-icon-file-text2 {\n",
+ " display: inline-block;\n",
+ " vertical-align: middle;\n",
+ " width: 1em;\n",
+ " height: 1.5em !important;\n",
+ " stroke-width: 0;\n",
+ " stroke: currentColor;\n",
+ " fill: currentColor;\n",
+ "}\n",
+ "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+ "Dimensions: (DF_UID: 100, timestamp: 146)\n",
+ "Coordinates:\n",
+ " * DF_UID (DF_UID) int64 1 2 3 4 5 6 7 ... 96 97 98 99 100 101 103\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T08:00:00 ... 200...\n",
+ "Data variables:\n",
+ " pv_potential (DF_UID, timestamp) float32 7.757415 ... 981.63293\n",
+ " tilted_irradiance (DF_UID, timestamp) float32 39.099693 ... 85.67182</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-422dbc87-9f87-4765-a19a-950c3fece5c7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-422dbc87-9f87-4765-a19a-950c3fece5c7' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>DF_UID</span>: 100</li><li><span class='xr-has-index'>timestamp</span>: 146</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-28b4e216-373f-43b6-a228-3a8f31cce874' class='xr-section-summary-in' type='checkbox' checked><label for='section-28b4e216-373f-43b6-a228-3a8f31cce874' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>DF_UID</span></div><div class='xr-var-dims'>(DF_UID)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 ... 98 99 100 101 103</div><input id='attrs-856683e1-8c99-48c4-b26d-6a379cab4a7d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-856683e1-8c99-48c4-b26d-6a379cab4a7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1bc26b21-99b9-4d9f-8936-da2961d9d348' class='xr-var-data-in' type='checkbox'><label for='data-1bc26b21-99b9-4d9f-8936-da2961d9d348' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 15,\n",
+ " 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29,\n",
+ " 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43,\n",
+ " 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57,\n",
+ " 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
+ " 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85,\n",
+ " 86, 87, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100,\n",
+ " 101, 103])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>timestamp</span></div><div class='xr-var-dims'>(timestamp)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2001-01-15T08:00:00 ... 2001-12-...</div><input id='attrs-6347deff-16b6-4697-9730-f75d50e0fcc9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6347deff-16b6-4697-9730-f75d50e0fcc9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9f8bed8-387d-4ef5-a4cc-1290311fb3f0' class='xr-var-data-in' type='checkbox'><label for='data-d9f8bed8-387d-4ef5-a4cc-1290311fb3f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2001-01-15T08:00:00.000000000&#x27;, &#x27;2001-01-15T09:00:00.000000000&#x27;,\n",
+ " &#x27;2001-01-15T10:00:00.000000000&#x27;, &#x27;2001-01-15T11:00:00.000000000&#x27;,\n",
+ " &#x27;2001-01-15T12:00:00.000000000&#x27;, &#x27;2001-01-15T13:00:00.000000000&#x27;,\n",
+ " &#x27;2001-01-15T14:00:00.000000000&#x27;, &#x27;2001-01-15T15:00:00.000000000&#x27;,\n",
+ " &#x27;2001-01-15T16:00:00.000000000&#x27;, &#x27;2001-02-15T07:00:00.000000000&#x27;,\n",
+ " &#x27;2001-02-15T08:00:00.000000000&#x27;, &#x27;2001-02-15T09:00:00.000000000&#x27;,\n",
+ " &#x27;2001-02-15T10:00:00.000000000&#x27;, &#x27;2001-02-15T11:00:00.000000000&#x27;,\n",
+ " &#x27;2001-02-15T12:00:00.000000000&#x27;, &#x27;2001-02-15T13:00:00.000000000&#x27;,\n",
+ " &#x27;2001-02-15T14:00:00.000000000&#x27;, &#x27;2001-02-15T15:00:00.000000000&#x27;,\n",
+ " &#x27;2001-02-15T16:00:00.000000000&#x27;, &#x27;2001-03-15T06:00:00.000000000&#x27;,\n",
+ " &#x27;2001-03-15T07:00:00.000000000&#x27;, &#x27;2001-03-15T08:00:00.000000000&#x27;,\n",
+ " &#x27;2001-03-15T09:00:00.000000000&#x27;, &#x27;2001-03-15T10:00:00.000000000&#x27;,\n",
+ " &#x27;2001-03-15T11:00:00.000000000&#x27;, &#x27;2001-03-15T12:00:00.000000000&#x27;,\n",
+ " &#x27;2001-03-15T13:00:00.000000000&#x27;, &#x27;2001-03-15T14:00:00.000000000&#x27;,\n",
+ " &#x27;2001-03-15T15:00:00.000000000&#x27;, &#x27;2001-03-15T16:00:00.000000000&#x27;,\n",
+ " &#x27;2001-03-15T17:00:00.000000000&#x27;, &#x27;2001-04-15T05:00:00.000000000&#x27;,\n",
+ " &#x27;2001-04-15T06:00:00.000000000&#x27;, &#x27;2001-04-15T07:00:00.000000000&#x27;,\n",
+ " &#x27;2001-04-15T08:00:00.000000000&#x27;, &#x27;2001-04-15T09:00:00.000000000&#x27;,\n",
+ " &#x27;2001-04-15T10:00:00.000000000&#x27;, &#x27;2001-04-15T11:00:00.000000000&#x27;,\n",
+ " &#x27;2001-04-15T12:00:00.000000000&#x27;, &#x27;2001-04-15T13:00:00.000000000&#x27;,\n",
+ " &#x27;2001-04-15T14:00:00.000000000&#x27;, &#x27;2001-04-15T15:00:00.000000000&#x27;,\n",
+ " &#x27;2001-04-15T16:00:00.000000000&#x27;, &#x27;2001-04-15T17:00:00.000000000&#x27;,\n",
+ " &#x27;2001-04-15T18:00:00.000000000&#x27;, &#x27;2001-05-15T04:00:00.000000000&#x27;,\n",
+ " &#x27;2001-05-15T05:00:00.000000000&#x27;, &#x27;2001-05-15T06:00:00.000000000&#x27;,\n",
+ " &#x27;2001-05-15T07:00:00.000000000&#x27;, &#x27;2001-05-15T08:00:00.000000000&#x27;,\n",
+ " &#x27;2001-05-15T09:00:00.000000000&#x27;, &#x27;2001-05-15T10:00:00.000000000&#x27;,\n",
+ " &#x27;2001-05-15T11:00:00.000000000&#x27;, &#x27;2001-05-15T12:00:00.000000000&#x27;,\n",
+ " &#x27;2001-05-15T13:00:00.000000000&#x27;, &#x27;2001-05-15T14:00:00.000000000&#x27;,\n",
+ " &#x27;2001-05-15T15:00:00.000000000&#x27;, &#x27;2001-05-15T16:00:00.000000000&#x27;,\n",
+ " &#x27;2001-05-15T17:00:00.000000000&#x27;, &#x27;2001-05-15T18:00:00.000000000&#x27;,\n",
+ " &#x27;2001-06-15T04:00:00.000000000&#x27;, &#x27;2001-06-15T05:00:00.000000000&#x27;,\n",
+ " &#x27;2001-06-15T06:00:00.000000000&#x27;, &#x27;2001-06-15T07:00:00.000000000&#x27;,\n",
+ " &#x27;2001-06-15T08:00:00.000000000&#x27;, &#x27;2001-06-15T09:00:00.000000000&#x27;,\n",
+ " &#x27;2001-06-15T10:00:00.000000000&#x27;, &#x27;2001-06-15T11:00:00.000000000&#x27;,\n",
+ " &#x27;2001-06-15T12:00:00.000000000&#x27;, &#x27;2001-06-15T13:00:00.000000000&#x27;,\n",
+ " &#x27;2001-06-15T14:00:00.000000000&#x27;, &#x27;2001-06-15T15:00:00.000000000&#x27;,\n",
+ " &#x27;2001-06-15T16:00:00.000000000&#x27;, &#x27;2001-06-15T17:00:00.000000000&#x27;,\n",
+ " &#x27;2001-06-15T18:00:00.000000000&#x27;, &#x27;2001-06-15T19:00:00.000000000&#x27;,\n",
+ " &#x27;2001-07-15T04:00:00.000000000&#x27;, &#x27;2001-07-15T05:00:00.000000000&#x27;,\n",
+ " &#x27;2001-07-15T06:00:00.000000000&#x27;, &#x27;2001-07-15T07:00:00.000000000&#x27;,\n",
+ " &#x27;2001-07-15T08:00:00.000000000&#x27;, &#x27;2001-07-15T09:00:00.000000000&#x27;,\n",
+ " &#x27;2001-07-15T10:00:00.000000000&#x27;, &#x27;2001-07-15T11:00:00.000000000&#x27;,\n",
+ " &#x27;2001-07-15T12:00:00.000000000&#x27;, &#x27;2001-07-15T13:00:00.000000000&#x27;,\n",
+ " &#x27;2001-07-15T14:00:00.000000000&#x27;, &#x27;2001-07-15T15:00:00.000000000&#x27;,\n",
+ " &#x27;2001-07-15T16:00:00.000000000&#x27;, &#x27;2001-07-15T17:00:00.000000000&#x27;,\n",
+ " &#x27;2001-07-15T18:00:00.000000000&#x27;, &#x27;2001-07-15T19:00:00.000000000&#x27;,\n",
+ " &#x27;2001-08-15T05:00:00.000000000&#x27;, &#x27;2001-08-15T06:00:00.000000000&#x27;,\n",
+ " &#x27;2001-08-15T07:00:00.000000000&#x27;, &#x27;2001-08-15T08:00:00.000000000&#x27;,\n",
+ " &#x27;2001-08-15T09:00:00.000000000&#x27;, &#x27;2001-08-15T10:00:00.000000000&#x27;,\n",
+ " &#x27;2001-08-15T11:00:00.000000000&#x27;, &#x27;2001-08-15T12:00:00.000000000&#x27;,\n",
+ " &#x27;2001-08-15T13:00:00.000000000&#x27;, &#x27;2001-08-15T14:00:00.000000000&#x27;,\n",
+ " &#x27;2001-08-15T15:00:00.000000000&#x27;, &#x27;2001-08-15T16:00:00.000000000&#x27;,\n",
+ " &#x27;2001-08-15T17:00:00.000000000&#x27;, &#x27;2001-08-15T18:00:00.000000000&#x27;,\n",
+ " &#x27;2001-09-15T06:00:00.000000000&#x27;, &#x27;2001-09-15T07:00:00.000000000&#x27;,\n",
+ " &#x27;2001-09-15T08:00:00.000000000&#x27;, &#x27;2001-09-15T09:00:00.000000000&#x27;,\n",
+ " &#x27;2001-09-15T10:00:00.000000000&#x27;, &#x27;2001-09-15T11:00:00.000000000&#x27;,\n",
+ " &#x27;2001-09-15T12:00:00.000000000&#x27;, &#x27;2001-09-15T13:00:00.000000000&#x27;,\n",
+ " &#x27;2001-09-15T14:00:00.000000000&#x27;, &#x27;2001-09-15T15:00:00.000000000&#x27;,\n",
+ " &#x27;2001-09-15T16:00:00.000000000&#x27;, &#x27;2001-09-15T17:00:00.000000000&#x27;,\n",
+ " &#x27;2001-10-15T06:00:00.000000000&#x27;, &#x27;2001-10-15T07:00:00.000000000&#x27;,\n",
+ " &#x27;2001-10-15T08:00:00.000000000&#x27;, &#x27;2001-10-15T09:00:00.000000000&#x27;,\n",
+ " &#x27;2001-10-15T10:00:00.000000000&#x27;, &#x27;2001-10-15T11:00:00.000000000&#x27;,\n",
+ " &#x27;2001-10-15T12:00:00.000000000&#x27;, &#x27;2001-10-15T13:00:00.000000000&#x27;,\n",
+ " &#x27;2001-10-15T14:00:00.000000000&#x27;, &#x27;2001-10-15T15:00:00.000000000&#x27;,\n",
+ " &#x27;2001-10-15T16:00:00.000000000&#x27;, &#x27;2001-11-15T07:00:00.000000000&#x27;,\n",
+ " &#x27;2001-11-15T08:00:00.000000000&#x27;, &#x27;2001-11-15T09:00:00.000000000&#x27;,\n",
+ " &#x27;2001-11-15T10:00:00.000000000&#x27;, &#x27;2001-11-15T11:00:00.000000000&#x27;,\n",
+ " &#x27;2001-11-15T12:00:00.000000000&#x27;, &#x27;2001-11-15T13:00:00.000000000&#x27;,\n",
+ " &#x27;2001-11-15T14:00:00.000000000&#x27;, &#x27;2001-11-15T15:00:00.000000000&#x27;,\n",
+ " &#x27;2001-12-15T08:00:00.000000000&#x27;, &#x27;2001-12-15T09:00:00.000000000&#x27;,\n",
+ " &#x27;2001-12-15T10:00:00.000000000&#x27;, &#x27;2001-12-15T11:00:00.000000000&#x27;,\n",
+ " &#x27;2001-12-15T12:00:00.000000000&#x27;, &#x27;2001-12-15T13:00:00.000000000&#x27;,\n",
+ " &#x27;2001-12-15T14:00:00.000000000&#x27;, &#x27;2001-12-15T15:00:00.000000000&#x27;],\n",
+ " dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a497042f-2269-4896-a1c7-fdcd58949f1d' class='xr-section-summary-in' type='checkbox' checked><label for='section-a497042f-2269-4896-a1c7-fdcd58949f1d' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>pv_potential</span></div><div class='xr-var-dims'>(DF_UID, timestamp)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-728a4583-dde6-433f-96be-44cc43167fdd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-728a4583-dde6-433f-96be-44cc43167fdd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98db3d35-0094-45d5-9552-e08d2707f684' class='xr-var-data-in' type='checkbox'><label for='data-98db3d35-0094-45d5-9552-e08d2707f684' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 7.757415, 11.006083, 47.83571 , ..., 50.159508, 37.11745 ,\n",
+ " 7.239184],\n",
+ " [ 0. , 0. , 0. , ..., 0. , 0. ,\n",
+ " 0. ],\n",
+ " [ 318.26633 , 468.7677 , 591.29205 , ..., 378.8779 , 147.95377 ,\n",
+ " 17.88837 ],\n",
+ " ...,\n",
+ " [ 102.62069 , 243.60574 , 325.90222 , ..., 294.39697 , 197.52235 ,\n",
+ " 54.660755],\n",
+ " [1027.7319 , 1319.42 , 1614.9879 , ..., 1296.3608 , 836.6782 ,\n",
+ " 386.08334 ],\n",
+ " [1523.9722 , 2101.4856 , 2683.624 , ..., 2457.3127 , 1675.3225 ,\n",
+ " 981.63293 ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tilted_irradiance</span></div><div class='xr-var-dims'>(DF_UID, timestamp)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-16742d23-ce02-41f2-868a-7e17179c3641' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-16742d23-ce02-41f2-868a-7e17179c3641' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-143a2cf4-aa1a-48f6-9a31-49725fe77380' class='xr-var-data-in' type='checkbox'><label for='data-143a2cf4-aa1a-48f6-9a31-49725fe77380' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 39.099693, 53.2902 , 220.4711 , ..., 231.45474 , 170.51357 ,\n",
+ " 36.97876 ],\n",
+ " [ 17.972807, 34.63824 , 44.99783 , ..., 41.221256, 29.33361 ,\n",
+ " 12.490149],\n",
+ " [ 73.268 , 105.98812 , 132.94804 , ..., 86.384926, 36.932915,\n",
+ " 9.872146],\n",
+ " ...,\n",
+ " [ 18.866148, 36.71087 , 47.201748, ..., 43.299824, 30.97221 ,\n",
+ " 12.990529],\n",
+ " [148.24216 , 190.41216 , 233.96382 , ..., 187.75258 , 121.48673 ,\n",
+ " 58.369003],\n",
+ " [130.63197 , 179.85184 , 230.60233 , ..., 211.54237 , 143.95683 ,\n",
+ " 85.67182 ]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-625b9946-d952-4854-a3e5-c57566e25d2f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-625b9946-d952-4854-a3e5-c57566e25d2f' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+ ],
+ "text/plain": [
+ "<xarray.Dataset>\n",
+ "Dimensions: (DF_UID: 100, timestamp: 146)\n",
+ "Coordinates:\n",
+ " * DF_UID (DF_UID) int64 1 2 3 4 5 6 7 ... 96 97 98 99 100 101 103\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T08:00:00 ... 200...\n",
+ "Data variables:\n",
+ " pv_potential (DF_UID, timestamp) float32 ...\n",
+ " tilted_irradiance (DF_UID, timestamp) float32 ..."
+ ]
+ },
+ "execution_count": 13,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "V_new = xr.merge( [xr.open_dataset( os.path.join(scratch_path, 'files_test', 'pv_potential_0.nc') ).pv_potential, \n",
+ " xr.open_dataset( os.path.join(scratch_path, 'files_test', 'tilted_irrad_0.nc') ).tilted_irradiance])\n",
+ "V_new"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
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+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>pv_potential</th>\n",
+ " <th>tilted_irradiance</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>DF_UID</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>7.614117e-06</td>\n",
+ " <td>1.177727e-05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>NaN</td>\n",
+ " <td>1.463101e-08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>1.446491e-03</td>\n",
+ " <td>1.444926e-03</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>4.767216e-03</td>\n",
+ " <td>4.533575e-03</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5</th>\n",
+ " <td>4.019619e-08</td>\n",
+ " <td>1.746058e-08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>...</th>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>98</th>\n",
+ " <td>1.170922e-03</td>\n",
+ " <td>1.142098e-03</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>99</th>\n",
+ " <td>9.361591e-06</td>\n",
+ " <td>1.878415e-05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>100</th>\n",
+ " <td>3.614126e-08</td>\n",
+ " <td>1.612951e-08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>101</th>\n",
+ " <td>2.050488e-03</td>\n",
+ " <td>1.961205e-03</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>103</th>\n",
+ " <td>8.779969e-04</td>\n",
+ " <td>8.764945e-04</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>100 rows × 2 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " pv_potential tilted_irradiance\n",
+ "DF_UID \n",
+ "1 7.614117e-06 1.177727e-05\n",
+ "2 NaN 1.463101e-08\n",
+ "3 1.446491e-03 1.444926e-03\n",
+ "4 4.767216e-03 4.533575e-03\n",
+ "5 4.019619e-08 1.746058e-08\n",
+ "... ... ...\n",
+ "98 1.170922e-03 1.142098e-03\n",
+ "99 9.361591e-06 1.878415e-05\n",
+ "100 3.614126e-08 1.612951e-08\n",
+ "101 2.050488e-03 1.961205e-03\n",
+ "103 8.779969e-04 8.764945e-04\n",
+ "\n",
+ "[100 rows x 2 columns]"
+ ]
+ },
+ "execution_count": 14,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "diff_V0 = ( abs(V0 - V0_redone).sum(dim = 'timestamp') / V0.sum(dim = 'timestamp') ).to_dataframe()\n",
+ "diff_V0"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {
+ "scrolled": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
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+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
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+ " </tr>\n",
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+ " <th>DF_UID</th>\n",
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+ " <th></th>\n",
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+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>0.001446</td>\n",
+ " <td>0.001445</td>\n",
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+ " <th>4</th>\n",
+ " <td>0.004767</td>\n",
+ " <td>0.004534</td>\n",
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+ " <th>7</th>\n",
+ " <td>0.001415</td>\n",
+ " <td>0.001400</td>\n",
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+ " <th>10</th>\n",
+ " <td>0.005871</td>\n",
+ " <td>0.005619</td>\n",
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+ " <tr>\n",
+ " <th>16</th>\n",
+ " <td>0.005542</td>\n",
+ " <td>0.005297</td>\n",
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+ " <tr>\n",
+ " <th>19</th>\n",
+ " <td>0.005258</td>\n",
+ " <td>0.005022</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>28</th>\n",
+ " <td>0.005038</td>\n",
+ " <td>0.004807</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>36</th>\n",
+ " <td>0.001597</td>\n",
+ " <td>0.001573</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>39</th>\n",
+ " <td>0.001228</td>\n",
+ " <td>0.001197</td>\n",
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+ " <th>43</th>\n",
+ " <td>0.002225</td>\n",
+ " <td>0.002159</td>\n",
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+ " <th>45</th>\n",
+ " <td>0.002400</td>\n",
+ " <td>0.002278</td>\n",
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+ " <tr>\n",
+ " <th>74</th>\n",
+ " <td>0.002556</td>\n",
+ " <td>0.002437</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>77</th>\n",
+ " <td>0.001128</td>\n",
+ " <td>0.001224</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>92</th>\n",
+ " <td>0.001641</td>\n",
+ " <td>0.001595</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>94</th>\n",
+ " <td>0.001841</td>\n",
+ " <td>0.001764</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>98</th>\n",
+ " <td>0.001171</td>\n",
+ " <td>0.001142</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>101</th>\n",
+ " <td>0.002050</td>\n",
+ " <td>0.001961</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " pv_potential tilted_irradiance\n",
+ "DF_UID \n",
+ "3 0.001446 0.001445\n",
+ "4 0.004767 0.004534\n",
+ "7 0.001415 0.001400\n",
+ "10 0.005871 0.005619\n",
+ "16 0.005542 0.005297\n",
+ "19 0.005258 0.005022\n",
+ "28 0.005038 0.004807\n",
+ "36 0.001597 0.001573\n",
+ "39 0.001228 0.001197\n",
+ "43 0.002225 0.002159\n",
+ "45 0.002400 0.002278\n",
+ "74 0.002556 0.002437\n",
+ "77 0.001128 0.001224\n",
+ "92 0.001641 0.001595\n",
+ "94 0.001841 0.001764\n",
+ "98 0.001171 0.001142\n",
+ "101 0.002050 0.001961"
+ ]
+ },
+ "execution_count": 15,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "diff_V0[diff_V0.pv_potential > 0.001]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
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+ " .dataframe thead th {\n",
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+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>pv_potential</th>\n",
+ " <th>tilted_irradiance</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>DF_UID</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>33</th>\n",
+ " <td>0.000003</td>\n",
+ " <td>0.000005</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>50</th>\n",
+ " <td>0.000080</td>\n",
+ " <td>0.000098</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>51</th>\n",
+ " <td>0.000069</td>\n",
+ " <td>0.000087</td>\n",
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+ " <tr>\n",
+ " <th>52</th>\n",
+ " <td>0.000076</td>\n",
+ " <td>0.000095</td>\n",
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+ " <tr>\n",
+ " <th>53</th>\n",
+ " <td>0.000071</td>\n",
+ " <td>0.000089</td>\n",
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+ " <tr>\n",
+ " <th>54</th>\n",
+ " <td>0.000017</td>\n",
+ " <td>0.000022</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>63</th>\n",
+ " <td>NaN</td>\n",
+ " <td>0.000003</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>64</th>\n",
+ " <td>0.000002</td>\n",
+ " <td>0.000003</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>67</th>\n",
+ " <td>0.000054</td>\n",
+ " <td>0.000068</td>\n",
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+ " <tr>\n",
+ " <th>68</th>\n",
+ " <td>0.000058</td>\n",
+ " <td>0.000072</td>\n",
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+ " <tr>\n",
+ " <th>69</th>\n",
+ " <td>0.000008</td>\n",
+ " <td>0.000013</td>\n",
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+ " <tr>\n",
+ " <th>76</th>\n",
+ " <td>0.000067</td>\n",
+ " <td>0.000095</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>78</th>\n",
+ " <td>0.000014</td>\n",
+ " <td>0.000029</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>82</th>\n",
+ " <td>0.000002</td>\n",
+ " <td>0.000003</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>88</th>\n",
+ " <td>0.000074</td>\n",
+ " <td>0.000095</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " pv_potential tilted_irradiance\n",
+ "DF_UID \n",
+ "33 0.000003 0.000005\n",
+ "50 0.000080 0.000098\n",
+ "51 0.000069 0.000087\n",
+ "52 0.000076 0.000095\n",
+ "53 0.000071 0.000089\n",
+ "54 0.000017 0.000022\n",
+ "63 NaN 0.000003\n",
+ "64 0.000002 0.000003\n",
+ "67 0.000054 0.000068\n",
+ "68 0.000058 0.000072\n",
+ "69 0.000008 0.000013\n",
+ "76 0.000067 0.000095\n",
+ "78 0.000014 0.000029\n",
+ "82 0.000002 0.000003\n",
+ "88 0.000074 0.000095"
+ ]
+ },
+ "execution_count": 16,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "diff_V0.loc[flat_idx]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "0.0056190301117178"
+ ]
+ },
+ "execution_count": 17,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "diff_V0.tilted_irradiance.max()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "diff_versions = (V0_redone - V_new).sum(dim = 'timestamp').to_dataframe()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "pv_potential 0.007965\n",
+ "tilted_irradiance 0.000213\n",
+ "dtype: float64"
+ ]
+ },
+ "execution_count": 19,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "diff_versions.max()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Visualise hourly differences"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "cmp_ID = 33\n",
+ "data_hourly_sel = V0.sel(DF_UID = cmp_ID).drop('DF_UID')\n",
+ "base_hourly_sel = V0_redone.sel(DF_UID = cmp_ID).drop('DF_UID')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "data_hourly_sel.coords['timestamp'] = (data_hourly_sel.timestamp.dt.month-1) * 24 + data_hourly_sel.timestamp.dt.hour\n",
+ "data_hourly_sel = xr.merge([xr.DataArray(coords = {'timestamp' : range(288)}, dims = ['timestamp'] ).rename('dummy'),\n",
+ " data_hourly_sel ] ).fillna(0)\n",
+ "\n",
+ "base_hourly_sel.coords['timestamp'] = (base_hourly_sel.timestamp.dt.month-1) * 24 + base_hourly_sel.timestamp.dt.hour\n",
+ "base_hourly_sel = xr.merge([xr.DataArray(coords = {'timestamp' : range(288)}, dims = ['timestamp'] ).rename('dummy'),\n",
+ " base_hourly_sel ] ).fillna(0)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
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+ " this.context = canvas[0].getContext(\"2d\");\n",
+ "\n",
+ " var backingStore = this.context.backingStorePixelRatio ||\n",
+ "\tthis.context.webkitBackingStorePixelRatio ||\n",
+ "\tthis.context.mozBackingStorePixelRatio ||\n",
+ "\tthis.context.msBackingStorePixelRatio ||\n",
+ "\tthis.context.oBackingStorePixelRatio ||\n",
+ "\tthis.context.backingStorePixelRatio || 1;\n",
+ "\n",
+ " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+ "\n",
+ " var rubberband = $('<canvas/>');\n",
+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+ "\n",
+ " var pass_mouse_events = true;\n",
+ "\n",
+ " canvas_div.resizable({\n",
+ " start: function(event, ui) {\n",
+ " pass_mouse_events = false;\n",
+ " },\n",
+ " resize: function(event, ui) {\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " stop: function(event, ui) {\n",
+ " pass_mouse_events = true;\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " });\n",
+ "\n",
+ " function mouse_event_fn(event) {\n",
+ " if (pass_mouse_events)\n",
+ " return fig.mouse_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
+ " // Throttle sequential mouse events to 1 every 20ms.\n",
+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+ "\n",
+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+ "\n",
+ " canvas_div.on(\"wheel\", function (event) {\n",
+ " event = event.originalEvent;\n",
+ " event['data'] = 'scroll'\n",
+ " if (event.deltaY < 0) {\n",
+ " event.step = 1;\n",
+ " } else {\n",
+ " event.step = -1;\n",
+ " }\n",
+ " mouse_event_fn(event);\n",
+ " });\n",
+ "\n",
+ " canvas_div.append(canvas);\n",
+ " canvas_div.append(rubberband);\n",
+ "\n",
+ " this.rubberband = rubberband;\n",
+ " this.rubberband_canvas = rubberband[0];\n",
+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
+ "\n",
+ " this._resize_canvas = function(width, height) {\n",
+ " // Keep the size of the canvas, canvas container, and rubber band\n",
+ " // canvas in synch.\n",
+ " canvas_div.css('width', width)\n",
+ " canvas_div.css('height', height)\n",
+ "\n",
+ " canvas.attr('width', width * mpl.ratio);\n",
+ " canvas.attr('height', height * mpl.ratio);\n",
+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+ "\n",
+ " rubberband.attr('width', width);\n",
+ " rubberband.attr('height', height);\n",
+ " }\n",
+ "\n",
+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+ " // upon first draw.\n",
+ " this._resize_canvas(600, 600);\n",
+ "\n",
+ " // Disable right mouse context menu.\n",
+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
+ " return false;\n",
+ " });\n",
+ "\n",
+ " function set_focus () {\n",
+ " canvas.focus();\n",
+ " canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " window.setTimeout(set_focus, 100);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\n",
+ " for(var toolbar_ind in mpl.toolbar_items) {\n",
+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+ "\n",
+ " if (!name) {\n",
+ " // put a spacer in here.\n",
+ " continue;\n",
+ " }\n",
+ " var button = $('<button/>');\n",
+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+ " 'ui-button-icon-only');\n",
+ " button.attr('role', 'button');\n",
+ " button.attr('aria-disabled', 'false');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ "\n",
+ " var icon_img = $('<span/>');\n",
+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+ " icon_img.addClass(image);\n",
+ " icon_img.addClass('ui-corner-all');\n",
+ "\n",
+ " var tooltip_span = $('<span/>');\n",
+ " tooltip_span.addClass('ui-button-text');\n",
+ " tooltip_span.html(tooltip);\n",
+ "\n",
+ " button.append(icon_img);\n",
+ " button.append(tooltip_span);\n",
+ "\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " var fmt_picker_span = $('<span/>');\n",
+ "\n",
+ " var fmt_picker = $('<select/>');\n",
+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+ " fmt_picker_span.append(fmt_picker);\n",
+ " nav_element.append(fmt_picker_span);\n",
+ " this.format_dropdown = fmt_picker[0];\n",
+ "\n",
+ " for (var ind in mpl.extensions) {\n",
+ " var fmt = mpl.extensions[ind];\n",
+ " var option = $(\n",
+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+ " fmt_picker.append(option);\n",
+ " }\n",
+ "\n",
+ " // Add hover states to the ui-buttons\n",
+ " $( \".ui-button\" ).hover(\n",
+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
+ " );\n",
+ "\n",
+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
+ " // which will in turn request a refresh of the image.\n",
+ " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.send_message = function(type, properties) {\n",
+ " properties['type'] = type;\n",
+ " properties['figure_id'] = this.id;\n",
+ " this.ws.send(JSON.stringify(properties));\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.send_draw_message = function() {\n",
+ " if (!this.waiting) {\n",
+ " this.waiting = true;\n",
+ " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " var format_dropdown = fig.format_dropdown;\n",
+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
+ " fig.ondownload(fig, format);\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
+ " var size = msg['size'];\n",
+ " if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
+ " fig._resize_canvas(size[0], size[1]);\n",
+ " fig.send_message(\"refresh\", {});\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+ " var x0 = msg['x0'] / mpl.ratio;\n",
+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+ " var x1 = msg['x1'] / mpl.ratio;\n",
+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+ " x0 = Math.floor(x0) + 0.5;\n",
+ " y0 = Math.floor(y0) + 0.5;\n",
+ " x1 = Math.floor(x1) + 0.5;\n",
+ " y1 = Math.floor(y1) + 0.5;\n",
+ " var min_x = Math.min(x0, x1);\n",
+ " var min_y = Math.min(y0, y1);\n",
+ " var width = Math.abs(x1 - x0);\n",
+ " var height = Math.abs(y1 - y0);\n",
+ "\n",
+ " fig.rubberband_context.clearRect(\n",
+ " 0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
+ "\n",
+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
+ " // Updates the figure title.\n",
+ " fig.header.textContent = msg['label'];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
+ " var cursor = msg['cursor'];\n",
+ " switch(cursor)\n",
+ " {\n",
+ " case 0:\n",
+ " cursor = 'pointer';\n",
+ " break;\n",
+ " case 1:\n",
+ " cursor = 'default';\n",
+ " break;\n",
+ " case 2:\n",
+ " cursor = 'crosshair';\n",
+ " break;\n",
+ " case 3:\n",
+ " cursor = 'move';\n",
+ " break;\n",
+ " }\n",
+ " fig.rubberband_canvas.style.cursor = cursor;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
+ " fig.message.textContent = msg['message'];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
+ " // Request the server to send over a new figure.\n",
+ " fig.send_draw_message();\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
+ " fig.image_mode = msg['mode'];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
+ " // Called whenever the canvas gets updated.\n",
+ " this.send_message(\"ack\", {});\n",
+ "}\n",
+ "\n",
+ "// A function to construct a web socket function for onmessage handling.\n",
+ "// Called in the figure constructor.\n",
+ "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
+ " return function socket_on_message(evt) {\n",
+ " if (evt.data instanceof Blob) {\n",
+ " /* FIXME: We get \"Resource interpreted as Image but\n",
+ " * transferred with MIME type text/plain:\" errors on\n",
+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
+ " * to be part of the websocket stream */\n",
+ " evt.data.type = \"image/png\";\n",
+ "\n",
+ " /* Free the memory for the previous frames */\n",
+ " if (fig.imageObj.src) {\n",
+ " (window.URL || window.webkitURL).revokeObjectURL(\n",
+ " fig.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+ " evt.data);\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
+ " fig.imageObj.src = evt.data;\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var msg = JSON.parse(evt.data);\n",
+ " var msg_type = msg['type'];\n",
+ "\n",
+ " // Call the \"handle_{type}\" callback, which takes\n",
+ " // the figure and JSON message as its only arguments.\n",
+ " try {\n",
+ " var callback = fig[\"handle_\" + msg_type];\n",
+ " } catch (e) {\n",
+ " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " if (callback) {\n",
+ " try {\n",
+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
+ " callback(fig, msg);\n",
+ " } catch (e) {\n",
+ " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+ " }\n",
+ " }\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
+ "mpl.findpos = function(e) {\n",
+ " //this section is from http://www.quirksmode.org/js/events_properties.html\n",
+ " var targ;\n",
+ " if (!e)\n",
+ " e = window.event;\n",
+ " if (e.target)\n",
+ " targ = e.target;\n",
+ " else if (e.srcElement)\n",
+ " targ = e.srcElement;\n",
+ " if (targ.nodeType == 3) // defeat Safari bug\n",
+ " targ = targ.parentNode;\n",
+ "\n",
+ " // jQuery normalizes the pageX and pageY\n",
+ " // pageX,Y are the mouse positions relative to the document\n",
+ " // offset() returns the position of the element relative to the document\n",
+ " var x = e.pageX - $(targ).offset().left;\n",
+ " var y = e.pageY - $(targ).offset().top;\n",
+ "\n",
+ " return {\"x\": x, \"y\": y};\n",
+ "};\n",
+ "\n",
+ "/*\n",
+ " * return a copy of an object with only non-object keys\n",
+ " * we need this to avoid circular references\n",
+ " * http://stackoverflow.com/a/24161582/3208463\n",
+ " */\n",
+ "function simpleKeys (original) {\n",
+ " return Object.keys(original).reduce(function (obj, key) {\n",
+ " if (typeof original[key] !== 'object')\n",
+ " obj[key] = original[key]\n",
+ " return obj;\n",
+ " }, {});\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.mouse_event = function(event, name) {\n",
+ " var canvas_pos = mpl.findpos(event)\n",
+ "\n",
+ " if (name === 'button_press')\n",
+ " {\n",
+ " this.canvas.focus();\n",
+ " this.canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " var x = canvas_pos.x * mpl.ratio;\n",
+ " var y = canvas_pos.y * mpl.ratio;\n",
+ "\n",
+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
+ " step: event.step,\n",
+ " guiEvent: simpleKeys(event)});\n",
+ "\n",
+ " /* This prevents the web browser from automatically changing to\n",
+ " * the text insertion cursor when the button is pressed. We want\n",
+ " * to control all of the cursor setting manually through the\n",
+ " * 'cursor' event from matplotlib */\n",
+ " event.preventDefault();\n",
+ " return false;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " // Handle any extra behaviour associated with a key event\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.key_event = function(event, name) {\n",
+ "\n",
+ " // Prevent repeat events\n",
+ " if (name == 'key_press')\n",
+ " {\n",
+ " if (event.which === this._key)\n",
+ " return;\n",
+ " else\n",
+ " this._key = event.which;\n",
+ " }\n",
+ " if (name == 'key_release')\n",
+ " this._key = null;\n",
+ "\n",
+ " var value = '';\n",
+ " if (event.ctrlKey && event.which != 17)\n",
+ " value += \"ctrl+\";\n",
+ " if (event.altKey && event.which != 18)\n",
+ " value += \"alt+\";\n",
+ " if (event.shiftKey && event.which != 16)\n",
+ " value += \"shift+\";\n",
+ "\n",
+ " value += 'k';\n",
+ " value += event.which.toString();\n",
+ "\n",
+ " this._key_event_extra(event, name);\n",
+ "\n",
+ " this.send_message(name, {key: value,\n",
+ " guiEvent: simpleKeys(event)});\n",
+ " return false;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+ " if (name == 'download') {\n",
+ " this.handle_save(this, null);\n",
+ " } else {\n",
+ " this.send_message(\"toolbar_button\", {name: name});\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+ " this.message.textContent = tooltip;\n",
+ "};\n",
+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+ "\n",
+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+ "\n",
+ "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
+ " // object with the appropriate methods. Currently this is a non binary\n",
+ " // socket, so there is still some room for performance tuning.\n",
+ " var ws = {};\n",
+ "\n",
+ " ws.close = function() {\n",
+ " comm.close()\n",
+ " };\n",
+ " ws.send = function(m) {\n",
+ " //console.log('sending', m);\n",
+ " comm.send(m);\n",
+ " };\n",
+ " // Register the callback with on_msg.\n",
+ " comm.on_msg(function(msg) {\n",
+ " //console.log('receiving', msg['content']['data'], msg);\n",
+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+ " ws.onmessage(msg['content']['data'])\n",
+ " });\n",
+ " return ws;\n",
+ "}\n",
+ "\n",
+ "mpl.mpl_figure_comm = function(comm, msg) {\n",
+ " // This is the function which gets called when the mpl process\n",
+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+ "\n",
+ " var id = msg.content.data.id;\n",
+ " // Get hold of the div created by the display call when the Comm\n",
+ " // socket was opened in Python.\n",
+ " var element = $(\"#\" + id);\n",
+ " var ws_proxy = comm_websocket_adapter(comm)\n",
+ "\n",
+ " function ondownload(figure, format) {\n",
+ " window.open(figure.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " var fig = new mpl.figure(id, ws_proxy,\n",
+ " ondownload,\n",
+ " element.get(0));\n",
+ "\n",
+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
+ " // web socket which is closed, not our websocket->open comm proxy.\n",
+ " ws_proxy.onopen();\n",
+ "\n",
+ " fig.parent_element = element.get(0);\n",
+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+ " if (!fig.cell_info) {\n",
+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var output_index = fig.cell_info[2]\n",
+ " var cell = fig.cell_info[0];\n",
+ "\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+ " var width = fig.canvas.width/mpl.ratio\n",
+ " fig.root.unbind('remove')\n",
+ "\n",
+ " // Update the output cell to use the data from the current canvas.\n",
+ " fig.push_to_output();\n",
+ " var dataURL = fig.canvas.toDataURL();\n",
+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
+ " // the notebook keyboard shortcuts fail.\n",
+ " IPython.keyboard_manager.enable()\n",
+ " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+ " fig.close_ws(fig, msg);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+ " fig.send_message('closing', msg);\n",
+ " // fig.ws.close()\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+ " // Turn the data on the canvas into data in the output cell.\n",
+ " var width = this.canvas.width/mpl.ratio\n",
+ " var dataURL = this.canvas.toDataURL();\n",
+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
+ " // Tell IPython that the notebook contents must change.\n",
+ " IPython.notebook.set_dirty(true);\n",
+ " this.send_message(\"ack\", {});\n",
+ " var fig = this;\n",
+ " // Wait a second, then push the new image to the DOM so\n",
+ " // that it is saved nicely (might be nice to debounce this).\n",
+ " setTimeout(function () { fig.push_to_output() }, 1000);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\n",
+ " for(var toolbar_ind in mpl.toolbar_items){\n",
+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+ "\n",
+ " if (!name) { continue; };\n",
+ "\n",
+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " // Add the status bar.\n",
+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "\n",
+ " // Add the close button to the window.\n",
+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+ " buttongrp.append(button);\n",
+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+ " titlebar.prepend(buttongrp);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(el){\n",
+ " var fig = this\n",
+ " el.on(\"remove\", function(){\n",
+ "\tfig.close_ws(fig, {});\n",
+ " });\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+ " // this is important to make the div 'focusable\n",
+ " el.attr('tabindex', 0)\n",
+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
+ " // off when our div gets focus\n",
+ "\n",
+ " // location in version 3\n",
+ " if (IPython.notebook.keyboard_manager) {\n",
+ " IPython.notebook.keyboard_manager.register_events(el);\n",
+ " }\n",
+ " else {\n",
+ " // location in version 2\n",
+ " IPython.keyboard_manager.register_events(el);\n",
+ " }\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " var manager = IPython.notebook.keyboard_manager;\n",
+ " if (!manager)\n",
+ " manager = IPython.keyboard_manager;\n",
+ "\n",
+ " // Check for shift+enter\n",
+ " if (event.shiftKey && event.which == 13) {\n",
+ " this.canvas_div.blur();\n",
+ " // select the cell after this one\n",
+ " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+ " IPython.notebook.select(index + 1);\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " fig.ondownload(fig, null);\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.find_output_cell = function(html_output) {\n",
+ " // Return the cell and output element which can be found *uniquely* in the notebook.\n",
+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
+ " // IPython event is triggered only after the cells have been serialised, which for\n",
+ " // our purposes (turning an active figure into a static one), is too late.\n",
+ " var cells = IPython.notebook.get_cells();\n",
+ " var ncells = cells.length;\n",
+ " for (var i=0; i<ncells; i++) {\n",
+ " var cell = cells[i];\n",
+ " if (cell.cell_type === 'code'){\n",
+ " for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
+ " var data = cell.output_area.outputs[j];\n",
+ " if (data.data) {\n",
+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
+ " data = data.data;\n",
+ " }\n",
+ " if (data['text/html'] == html_output) {\n",
+ " return [cell, data, j];\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "// Register the function which deals with the matplotlib target/channel.\n",
+ "// The kernel may be null if the page has been refreshed.\n",
+ "if (IPython.notebook.kernel != null) {\n",
+ " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
+ "}\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Javascript object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
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9erVS1984TwysXAqF110kX799VfzrcmTJ2vAgAEu2R4/B/34m0bT3biGlfPPjRhWas7f/Uca6D76FyBcw/i7gMPVnbwRQAABBBAIBoHlozur+dEV5lLTmjwo2+3jii19wfhuan9ojnNc00dku210MKTIGhFAIAQFZk/qqU77/zEzy6zWU0mPfVxqpvMmXKCOB2c6f4bF3CPb3c+EoAwpeSswf/pX6vDHnWaYI/YoHR6wUpXOqFZq6KyvX1LinKfMz9dG1FfMiMXeLoX5CCCAAAIIIIAAAmEsYKWZGcZcXqfuiwa6sYjc3Fxdf/31jvPKT/a688479fbbzqOjCo8fM2aMY/v246/C558ff6/wOejGe1dccYWmTZt2ssuW+rmVmvN3/5EGuuXbzURDwN8FzF1AAAEEEEAAgcAUMLY1jn66saIi7OYCF178sdqd1bPYgjOfv1lJO53nN2Wc2UvJD78XmImxKgQQCGkB4/zzPaNjVFX7nH+ZcJIzp9Nf6auULZ+a47Mrd1XnAd+EtBPJWRNIe/1h2Ta8b07OKdNGrYc6t2cvKerS7OlqOe1K86Oj9ggdGbJe0RUqWVsEsxBAAAEEEEAAAQTCXsBKMzPs0bwA8FUD3ViC3W7X1KlT9emnnyojI0ObN2/W8W3ZW7RoIZvNpiuvvFLnnnuuIiIiSlz1jBkzHJ8bL2OLduPJ8qioqGJjL7zwQv3222+O959++mk9/vjjlhWs1Jy/+4800C3fbiYaAv4uYO4CAggggAACCASmwIIZ09T+11vNxRlP2eUPylWFSmcUW3DaO4Nly33NfH9edKI6DnFuJRWYGbIqBBAIRYEV8/5Vs696uKS26e5ZqhvTvNR0M794VkkLnOfPrY5spMbD54ciDzl5KbBkTLJa5eeYUdLq3y5b3xdOGHXv7p2q/GxjlzErr/tZTdsne7kapiOAAAIIIIAAAgiEq4CVZma4WpG3bwSs1Jy/+4800H1z78M2ir8LOGzhSRwBBFhFskkAACAASURBVBBAAIEAFyjaFF9apqVaDi15i6mZ015VQvYQM6PcyIaKHb4wwDNkeQggEIoCaR+Olm3Z02Zq6yLqquGIJSdMdXHGT2rzww3mmMP2KEUO3aQyZcuFIhE5WRQwGuHRzzRVmYgCM8L8899Vh65XnzTiptRmqqtt5riZiU8r4bJ7TzqPAQgggAACCCCAAAIIlCRgpZmJJALeCFipOX/3H2mge3PHmcsT6NQAAggggAACCJQoMG/Chep40NkwT6/dWykPvF7i2KLNp4P2sio/YosiIiPRRQABBE6rwOxJPdRp/7/mNTOrX66kRz884Rp2bdukai+1chmz5ubpatQy/rSunYsFtsDcPz5X3PR7zEUaX7Q4WsrOLEUzmTfhAnU8ONN8O73h3Uq559nATpjVIYAAAggggAACCASsgJVmZsAmw8KCQsBKzdFAD4pbyyJLE/B3AXNnEEAAAQQQQCDwBIwzhPeObqgq2m8ublbSFHXpeWeJi928boXqvNnZ5bNt9y9QzboxgZccK0IAgZAVOJqfr31jGqlKofPPZ3aeqIQr7z9pzttTG+lM5ZnjZp/1sjpd3Oek8xgQPgLprz2glE3OL2MsLttObZ5yflnjRBLpr96nlM2fmEOyK3dV5wHfhA8emSKAAAIIIIAAAgj4VMBKM9OnCyBY2AlYqTl/9x95Aj3sytS3Cfu7gH2bDdEQQAABBBBAwBcCqxZlqclnF7qE2nLvHNVu0KTE8EbT6ujo2ioXcdT8fMnl/1OrhPN9sRxiIIAAAm4JLJ87Q83/d5nbP7sKD1w47ly1OzzPfCu98YNKuWOcW9dlUHgIFDv/vOFdst3znFvJZ375nJLmp5pjV0fGqPHwBW7NZVB4C9gLCpTx6QRVWfmd9lWKUYUuN6ntWZcrMioqvGHIHgEEEEAAgTAXsNLMDHMy0vdSwErN+bv/SAPdy5se7tP9XcDh7k/+CCCAAAIIBKJAxufPKHnhKHNpG1VL9VKXn3Cp60e2VAP7ZnPMrMRn1OUy51a3gZgna0IAgdASSP9wpFKWObfFXhtRXzEjFruVZMaLtyt5+9fm2JlVLlJC/y/cmsug8BDYmRqj6tptJju36xuKO/8Gt5LPyfxFrb+/zhx7xB4lPbVRZcuVd2s+g8JXYP70r9ThD9cdgIzfy1bHXKXY8+9V/SatwxeHzBFAAAEEEAhjASvNzDDmInUfCFipOX/3H2mg++DGh3MIfxdwONuTOwIIIIAAAoEqkPVcbyXm/ehsJJ1xgRIe/+qEy10wvpvaH5pjjklr+ohst40O1BRZFwIIhKDAnImXKv5AmplZZo0rlPTIB25lmvHJeCXnTDDHLo9qpubDst2ay6DQFzi4f6+iJzVwSXR179/UuE2CW8nn7diqqi80dxmbe+Mfim3tevyJW8EYFFYCGS/epuTtU0vNeWG5jjrQ8VZ16XmPIiIjw8qGZBFAAAEEEAhnASvNzHD2InfvBazUnL/7jzTQvb/vYR3B3wUc1vgkjwACCCCAQIAKrBvZWg3tG83VZbR5Qsm9h5xwtZlTblLSru+dc87speSH3wvQDFkWAgiEosCm1Gaqq21mau6ef25MWPD3VLX/7TZz7n57eUUP38g2yaFYKBZyWrd8gRp+cLbLzD39VumMqjXcjrYtNVY1tcscn53yvDpfeofb8xkYngIrRser2dFVJ00+o9Z1Sn7wrZOOYwACCCCAAAIIhIaAlWZmaGROFv4SsFJz/u4/0kD3V7WEyHX9XcAhwkgaCCCAAAIIhIzA9s3rdOar7VzyWX7192oe59o4KJpw2juDZct9zXx7bnSi4ob8GjIuJIIAAoEtkH/ksDSmjspEFJgLXdbrW7WIP9ethW/dsFq1Xo9zGbvhjkzVb9zKrfkMCm2BBf98o/a/9DGT3GOvoDNGbvIo6WI7tcTeL9udEz2KweDwEti3Z5ein26sqAj7SRM/bI9SwZC1iq5Q6aRjGYAAAggggAACwS9gpZkZ/FmTgT8FrNScv/uPNND9WTEhcG1/F3AIEJICAggggAACISUw++cP1OnfB82cjKcwyw1dpzJly50wz6ypryhx9hPmmNzIGMUOXxBSNiRzagW2bVqrNbN/Vf3256pujOtWx6f2ykQPBYHN61aozpuu22Fv/89CnVmnoVvp2QsKtGdUA1XRfnP83G5vKu68692az6DQFsj6+mUlznnSTHJ1ZCM1Hj7fo6QzXrpLydu+NOfMdON4FI8uwOCQE1j4z3dq98vNZl5H7FFa0fMT5WV9rNbbflJV7XPJecW1P6lZh5SQcyAhBBBAAAEEECguYKWZiSMC3ghYqTl/9x9poHtzx5krfxcwtwABBBBAAAEEAksg/bUHlLLpQ3NRC8rHq/0T00+6yEXpP6rtj73NcQfs5RQ9YjPncZ5UjgGGwPqVC1X5/YsczQCjdtZf8/VJdz1ADoHCAjlZv6r1d9eabx22l1HZEVs9+hm0ZEyyWuXnmDHSW/RXyi0jgEZAae8OkW31q6bEvOgEdRzym0cyGZ9NUvKiseacFVFN1GzYHI9iMDi8BNLeHybbyhfMpJdFNVeLYbMcfz50cL92Tuhg+diK8JIkWwQQQAABBEJPwEozM/QUyOh0ClipOX/3H2mgn84KCcFr+buAQ5CUlBBAAAEEEAhqgcVjbWpzZJGZQ3rDu5Vyz7MnzWnT2uWq+1YXl3GePP150gswIKQFsp67QYl5P5k5WmlOhTQQyZ1UYNb376hL5mPmuPURddRgxNKTzis8IHPKTUra9b35Vmb1y5T06EcexWBwaApkvHi7krd/Xag2LlfSo84vm7mTddGniQ/Zy6rMsE2KKlPGnemMCUOB2ZN6qtP+f8zMM2peo+SH3jH/PGfiJYo/kG7+Oa3+bbL1fTEMpUgZAQQQQACB8BOw0swMPyUy9qWAlZrzd/+RBrovKyAMY/m7gMOQnJQRQAABBBAIaIGdqQ1VXXvMNc7t+l/FnX/jSdd8ND9fBaNrq2zEUXPs0iunqmXn7iedy4DwFsjbsVXln2+j6IgjJkSBPUKb7khX/SatwxuH7N0WSP9wpFKWOb/ss7BcB7V7cobb842B6R+MUMryKeacnLJt1fqpNI9iMDg0BeZOvFhxBzLM5NIa3SfbXZM8Snb75nU689V2LnPW9flHDZu39ygOg8NDwDhWYvuoJqqpXWbCWZ3GK/GqB5x1+PrDsm143/zznAopih/s/DJaeEiRJQIIIIAAAuEpYKWZGZ5SZO0rASs15+/+Iw10X939MI3j7wIOU3bSRgABBBBAICAFjO1Ay0+o57K23N6/K7aN65PlpS1+/ciWamDfbH48K+lZdel5d0DmyqICRyD947FKWVK8EZVW/3bZ+jq3rg2cFbOSQBRIf6WvUrZ8ai5tZpWLlND/C4+WOvf3zxT3173mnN2qpDOGr/NoG3iPLsjgoBFYOSpOTQtWm+vNjButpKsf8Wj9RkN016hGLl9Sm3POa4q/8CaP4jA4PAQ2rVmmum8nuCS7ts8MxTTv4Pw5N+1VJWQPMf+8IaK26o9YFh5AZIkAAggggECYC1hpZoY5Gel7KWCl5vzdf6SB7uVND/fp/i7gcPcnfwQQQAABBAJJYGPuEtV7J8llSXmPLFfVGrXcWuaC8d3U/pDzPNf0po8o5bbRbs1lUHgKGA2l3DFxalywphjANlVTlSeWqFz56PDEIWuPBLInX6HO+/4y51j5AsaGVTmq/16yy3W33T9fNes28mgtDA49gbzU+qqqfWZi889/Xx26XuVxoovGnq22RxY467TpI7Lx30mPHcNhwqzv31KXzP5mqrtUWVWHr3X5Qs+Kef+q2Vc9XDj29l+tylWqhwMROSKAAAIIIBDWAlaamWENRvJeC1ipOX/3H2mge33bwzuAvws4vPXJHgEEEEAAgcASyJn5m1p/e425KON81nIjtrj99GXR84Mzzuyl5IffC6wkWU1ACeRk/KzWP1xf6ppmJU1Rl553BtSaWUxgCiwZk6RW+UvMxWW0eVLJvQd7tNiCo0d1aFRdVYg4bM5bcOH/qf05V3oUh8GhJbB/b54qPu36JYrcm6YrtlW8x4lmvHibkrdPNedlVb1Eif0+8zgOE0JfIP3V+5Sy+RMz0bnRiYob8qtL4gcP7FPZCQ0UFWE3319y+f/UKuH80AciQwQQQAABBMJcwEozM8zJSN9LASs15+/+Iw10L296uE/3dwGHuz/5I4AAAgggEEgCs396T53SnFvSeroVaNrbg2Rb81/nX/ZWSFLc4F8CKUXWEmACWc/doMS80s9rXVA+Xu2fmB5gq2Y5gSiwJbWJamuHuTSrW2MvH91ZzY+uMONktHlCyb2dWyQHYu6s6dQKrFk6R40+6uZykf0D1qhi5aoeXzj9ozFKWTrZnLesTAu1GDrT4zhMCH2BnDEpap2/2Ew0rdF9st1V/LiTNaPaqlHBenNcZoeRSrr2sdAHIkMEEEAAAQTCXMBKMzPMyUjfSwErNefv/iMNdC9verhP93cBh7s/+SOAAAIIIBBIAhmfTlDy4vHmknLKtlXrp9LcXmLW1y8rcc6T5vjVkTFqPNy5Va3bgRgYFgJ5O7aq/PNtFB1xxMx3aZmWapm/1CX/dX3+UcPm7cPChCStCRw5fEhRY+sostBTmCuu+UHNOp7lccCZz16rhN3Opzwzal6j5Ife8TgOE0JHYP5fU9Xh99vMhPJUSVVTN1hKcP5f/1OH3+8w5+63l1f08I2KjIqyFI9JoSlw+NBB2cc1VPlC/32cf9476tDNuUvQ8cyLHl+RXru3Uh54PTRhyOqUCBi7r2xas0zVazdQhUpnnJJrEBQBBBBAwPcCVpqZvl8FEcNJwErN+bv/SAM9nCr0FOTq7wI+BSkREgEEEEAAAQQsCqS98Zhs652NouxKXdV54DduR1uU9oPa/nSjS2OgwohNbm8B7/aFGBgSAukfj1PKkolmLoftUdpxd4ai3+6uatprvp9e9xal3P9KSORMEqdGYGPuEtV7J8kl+M4Hc1S9Vj2PL5j27hDZVr9qzltYLk7tnnSere5xQCYEvUDm/15Q0txhZh4rIxur6fC5lvLasn6Var/huvX7prtmqm6jFpbiMSk0BZZmT1fLaa5HR+Q9ukJVq9cslnDaWwNkW/uG+f788p3V4Yk/QhOGrHwucGDfHq197nzHlxc3qab29HpXLeLP9fl1CIgAAggg4HsBK81M36+CiOEkYKXm/N1/pIEeThV6CnL1dwGfgpQIiQACCCCAAAIWBYqdYV7zWiU/9Lbb0YynV+q+neAyfscDi1SjdgO3YzAwPATsBQXKHROnxgVrzIRnVe6uLgOmqui5rztVRRWHLFH56IrhgUOWHgvkZPys1j9cb847aC+r8iO2WPryTtGjLLapmmqm5nq8JiaEjoAvjycxfvbtHVlfZ0QcMIHmdXtLHc+7LnTAyMRrgaJfMMuNbKjY4QtLjJv9wzvqnOHcsn2rqqtW6mqv10CA8BDI+GySkheNNZM1/puXf9evfKknPG4/WSKAQJALWGlmBnnKLN/PAlZqzt/9Rxrofi6aYL+8vws42P1YPwIIIIAAAqEkMG/Chep4MMtMKa3Jg7LdPs7tFPOPHJZ9TF2VjThqzll65TS17Ox6dqzbARkYsgI5mb+o9feuDaMFF7yv9udepdwlcxT7sWvNzEyYrITL+4asB4l5JzDzuzeUkDXADLI2or5iRjjPDvYkekn1l/fIclWtUcuTMIwNIYHMF/ooaYdzN5aMM69S8sPvW85wyZhktcrPMeent+ivlFtGWI7HxNATKHqURFa1Hkp87JMSEy3pZ9auh5aoWs26oQdDRj4XKFprxgVWRTZWrcf+VOUq1X1+PQIigAACCPhOwEoz03dXJ5KnAqmpqRo5cqRjmt1u93S6Ob579+6aPn26unXrpj///NNyHCsTrdScv/uPNNCt3GnmmAL+LmBuBQIIIIAAAggEjsCK0fFqdnSVuaDMuDFKuvphjxa4YWRL1bdvNufMSpqiLj3v9CgGg0NfIOu53krM+9H5O2lEPdUfutA8B3jhuHPU7vB88/OF5Tqo3ZMzQh+GDC0JpP/fcKWseN6cu6B8vNo/Md1SLOM8dY2t5/JFoJyeX6h10kWW4jEp+AWKfbms8X9ku2OC5cSK7vaSWf0yJT36keV4TAw9gXUjW6mhfZOZWEbboUq+YWCJiRpfXiwYU0/lIvLNzxdd8ona2nqEHgwZ+Vwgd1Q7xRasKxZ3boVktX/8e0WVKePzaxIQAQQQQMA3Alaamb65MlGsCNBAl9auXauGDRta4bM8hwa6ZTomGgI00KkDBBBAAAEEEDgusCM1RjW02wSZ1/1tdex+rUdAC8d1VbvDzrNh05s9qpRbR3kUg8GhLZC3Y6vKP99G0RFHzETTmz6ilNtGm38u+kSx8UHuTdMV28r17ODQliI7dwUyXr5byVu/MIdnVb1Eif0+c3d6sXGrR7VX44K15vuZHVKVdG0/y/GYGNwCq0d1cDluIit+nBJ7PWg5qfQPRihl+RRzfk6ZNmo9NN1yPCaGlsCOLetV45W2LkmtuOYHNet4VqmJrhwVp6YFzm3bM9o8qeTeg0MLhmx8LrB3905VfKaJIiNKfgouvXZvpTzwus+vS0AEEEAAAd8I0ED3jePpikIDnQb66ao1ruNDARroPsQkFAIIIIAAAkEsYDx1WXZcbZcMVl3/s5q0S/Yoq+LnqF+j5Ife8SgGg0NboOjZroftUdrzwDydWcf5TeRDB/dr/4RWql7oCx3pdW5Uyn/+G9o4ZGdJYPbky9Rpn3OHgrQGd8p2r7NB6WnQ7MlXqPO+v8xp6XVuUsp/XvM0DONDRGDPiLouZ5YvuPD/1P6cKy1nN/f3zxT3173m/N2qpDOGr1NEZKTlmEwMHYE5v32i+L/vMxPaby+vckPXqUzZcqUmWXQb7owzeyn54fdCB4VMTonAovQf1fbH3ieMfaLdD07JogiKAAIIIOC2AA10t6kCYiANdBroAVGILMIzARronnkxGgEEEEAAgVAV2Lxuheq82dklvZ0P5qh6rXoepZz29iDZ1jibnHMrJClu8C8exWBw6ArYCwq0eky8mhTkmklmV+6mzgOmFUs6/bUHlLLpQ/P9PFVS+UFLFV2xcugCkZklgWVjEtQif5k5N6PdMCVf7zwT3dOgaW/2k23d2+a0edGJ6jjkV0/DMD4EBPbk7dAZzzVxyWRtnxmKad7BcnYbVi9R/XeTXOZv6ztPNevHWo7JxNARKPrzZ1G5Dmp7kiNM0t57UrZVL5sIi8q2V9un/gkdFDI5JQLpH41WytKnzdjbVE1V7HtdjgPIt0dq8flvqUO3a07JGgiKAAIIIGBdgAa6dTt/zKSBTgPdH3XHNb0UoIHuJSDTEUAAAQQQCBGBpdl/quW0q8xsjKeCy47Y5vETcVlfv6zEOU+acVZHNlLj4c6zrEOEizQsCuRk/arW37keC7DggvfV/lxn7R0PvW75AjX84GyXK2V1Gq/Eqx6weHWmharAttRY1dQuM725Xd9Q3Pk3WE535revK2Gm87zhjaqleqnLLcdjYvAK5C6epdhPz3dJ4OCg9V59kafg6FEdHFVPFSMOmXFL+zkYvHKs3KrA/PHd1eHQbHN6Wr0+st3nbI6XFHfOrx8rfsb95kfGF86qsKuB1VsQNvNmPnudEnY7v+SaWa2nIhqf4/J7vIGxx15BO278TrFtuoSNDYkigAACwSBAAz0Y7pJzjTTQaaAHV8WyWocADXQKAQEEEEAAAQQMgdk/f6BO/zrPdN2kWqproWG08N/v1e7nm0xUY+vRCiM2edyI566EpkDWlBuVuOsHM7l1EXVVf+giRUZFlZhw0UYCT9WFZl14k5Wx3X/5Ca47Zay87mc1be/Z8ROF17Bi3r9q9lUPl2XtH7BGFStX9WapzA1CgXl/fqmOf95lrnynqqh66lqvM1kxOl7Njq4y42TGjVHS1Q97HZcAwS1gfLli36gGLkcGZNteUudLbj1hYhtW5aj+e64/87b2nata9RsHNwirP6UCuaPaK7bA+fMso82TSu49WGlvPCbbetfjl+ZFd1HHIb+f0vUQHAEEEEDAMwEa6J55+Wr04cOH9eabb+rzzz/XggULlJeXpxo1aqhz5866+eabHf8XWcLRTO420NPS0vTMM89oxowZ2rVrl+rVq6eLLrpIjz/+uFq1aqXu3btr+vTp6tatm/78809fpeVWHCs15+/+Y4Tdbre7lR2DEChBwN8FzE1BAAEEEEAAgcAQyPhsspIXjTEXs6RMK7Uamunx4jbmLlG9d1y3prWyFbzHF2ZCUAhsSm2mutpmrjWt6SOy3Ta61LVn//COOmc8Zn5ubCVqf2qTypYrHxT5sshTL1BS4yjvkeWqWqOW5Ysf3L9X5SY2VGSE839qL+v1rVrEn2s5JhODUyDzy+eUND/VXPzyqGZqPizb62TmTbhQHQ9mOX8WNnlIttvHeh2XAMEtUNKOB+40wkva1WD+ee+w7XZwl8MpXf2+PbtU4enGLv+dW3L5/9Qq4XwZ9TTnuV7qvPcvcw0F9ggdeWKDykdXPKXrIjgCCCCAgPsCVpqZ7kdnZEkCubm56tGjhxYvXlwq0DnnnKOpU6c6muqFX+400I3G+aBBg1RQUFAsfqVKlRxN+4kTJ9JA96A8aaB7gMXQ4gI00KkKBBBAAAEEEDAE0t/sr5R1b5kYsyuerU6DvvcYJ//IYWlMHZWJcP7Cv+yqb9SiU1ePYzEhtAQOHzqoMuPquvxl7fKrv1fzONdt2gtnnbd9s6q+2NIFYl2ff9SwefvQwiEbywKL0n5Q259uNOf7ateLDSNbqr59sxl3VtIUdel5p+V1MjE4BdLeely2tW+ai59T0ab4QT96nUzR3TjSa9+glAfe8DouAYJbIOur55U4b7iZxCbVVN3UFW4ltXRMolrmLzXHprd4XCm3OGO5FYRBYSOwOOMntfnBedSJ8QXF/MFrzeMpNq1ZprpvJ7h45D26QlWr1wwbIxJFAAEEAl2ABvrpvUN79+5VXFycVq5c6bhwr169dNddd6l+/fpatWqVXnrpJUdj23jZbDb9/fffiiq0097JGuhffvmlrrvuOsf8qlWravDgwY6nzY3X77//rkmTJjmebK9Vq5aMe88T6O7dfxro7jkxqhQBGuiUBgIIIIAAAggYApnP36Kknd+aGBk1r1HyQ67bN7ortWFkC9W3bzGHZydPUeceNJ7c9QvVcetXLlSD989ySc+dv4zNS62vqtpnzpvb7U3FnXd9qDKRl4cCM6e9poTsweas3MiGih2+0MMoxYcvHmtTmyOLnD8TWw9R8o1PeB2XAMElkDnlJiXtcn6ZzJv/NhbOPO31h2Xb8L751qzK3dVlwNTgwmG1PhfIfKGPknZ84/z9qXI3dR4wza3rFK1V4zzrpMc+dmsug8JPIP2jMUpZOtlMfFVkYzUZPtf8886tG1X95dYuMNvun6+adRuFHxYZI4AAAgEq4FYD3XiS+cCOAM3gFCyrQg2phO3TfXGlgQMH6umnn3aEGjp0qEaPdt1Jz9go/NZbb9WHH37oGPPKK6/oP//5j3npEzXQjW3hGzdurI0bNzqa58Y27m3atHFZtrFd/Nlnn63du3c73qeB7t5dpYHunhOjShGggU5pIIAAAggggIAhMHfixYo7kGFipMXeL9udEy3hLBx3rtodnmfOTW/+mFL6jLQUi0mhI7BgxjS1/9V5juseewWdMXLTSRMs9lRdq8FKuenJk85jQHgIpL33lGyrXjKTnV++kzo84f1ZcNmTL1fnfX87fyY2vEu2e54LD1SydNbT+PPU4ZBzy/Y0H221XrR5tahcB7V9cgbyYS6walScmhSsdv7+1KK/Um4Z4ZZK+ocjlbLsWXPs0jIt1XKo85gAt4IwKGwEsp67Xol5P5v5ZlXrocTHPjH/bGzxXumZWBePDXdkqn7jVmFjRKIIIIBAoAu41UDft02a3CzQU/Hd+gaukCr5freUQ4cOqW7duo4zydu2bat58+a5PF1+PAGjud20aVNt377dMW7hQucXu0/UQP/ss8/Uu3dvRxijSW+cd17Sy3gK3Xgy3XjRQHevbGigu+fEqFIEaKBTGggggAACCCBgCCwf3VnNjzq3Cc3sMFJJ1zrPnvZEqejWtL56Ys+TNTA28ASKbk27MrKxmhZ62qm0Fc989lol7P7V/Dij1nVKftB53EDgZcqKTqdAxkt3KnnbV+YlffXUZcaLtyt5+9fOuDWuUNIjH5zO1LhWAAjkjmqn2IJ15kpmdp6ohCvv93pls757U12ynH8xtjaivmJGlH6WotcXJEDAC+zdvVMVnmmiqAi7udacHp+rdfLFbq19/vSv1OEP524/xnEW0cM3KrLQ1qFuBWJQWAisHtVBjQvWOH+3KrLLinEkU5mxtVwscm+arthW8WHhQ5IIIIBAMAjQQC/hLp2iBvq///7rePrbeBlNbONp9NJeDzzwgF599VXHxxs2bFC9evUc/3yiBnrfvn31xhtvKCIiQlu2bFHNmiV/CWDr1q2qU6eOjKfdaaC7928pDXT3nBhVigANdEoDAQQQQAABBAyBbamxqqldJoY322SnvT1QtjWvO2NVSFbcYOdTLoiHp0D6m/2Vss7Z+J5d8Sx1GvTDSTHS3hog21rn2cDzohPVcYizoX7SAAwIaYHZk3qo0/5/zRzTYu6R7e5nvM656M8xd+vV6wsTIGAE7AUFOjCyripGHDLXtPDij9XurJ5er3Hhv9+r3c83mXHc3ZHD6wsTIGAFFvzzjdr/0sdc3xF7lI4OXmOeSX2yhW/dsFq1Xo9zGbbh9gzVb+K6DffJ4vB56Avs35un8pNjXb+scdmXap14oUvy+SOqq0xEgfneimt+ULOOrkfxhL4W5TdIMgAAIABJREFUGSKAAAKBK0ADvYR7c4oa6K+//rruu+8+xwWNc867du1aamG89957uuOOOxyf//zzz7rooosc/3yiBrpxZnp6errj6fUVK5wPtpR0EWOMceY6DXT3/t2kge6eE6NKEaCBTmkggAACCCCAgPGUScSY2i5/kebNX5Jlff2SEuc8ZcKuioxVk+HOLd0RD0+BotuFpte6XikPvnlSjKJnXK+LqKeGI3JOOo8B4SFQbPeM9iOUdF1/r5PP+GyykheNMeMsKdNKrYZmeh2XAMEjkLdzm6o+77rl5frb0tWgqet5hFYyWrN0jhp91M1l6oGB61Sh0hlWwjEnBATS3ntStlUvm5ksK9NCLYbOdDsz4wsfu0c1VFXtM+fMOec1xV/o/KKG28EYGNICOZm/qPX315k5HrVH6PCgtcV+/uwfUdvlC0RLLv+fWiWcH9I2JIcAAggEkwAN9BLu1ilqoE+YMEFPPPGE44I5OTlq1ar0I01++uknXXrppY6xn3zyibk1+4ka6K1bt9aSJUuUkpLiOP/8RK/jzXYa6O7920oD3T0nRpUiQAOd0kAAAQQQQACBkp5a2nb/AtWsG2MJp+iTdfvs0ao4YqMiIiMtxWNSaAgsGnu22h5ZYCaT3uJxpdwy/KTJLc3+Uy2nXWWOy7dHyv7UJpUtV/6kcxkQ+gI7U2NUXbvNROd1e0sdz3M2BqwKZP/0f+qc9pA5fUNEbdUfscxqOOYFocCqhRlq8rnr9tmHhmxU+eiKXmeze9d2VZnS1CUOTwt7zRrUAYrupmHl+Jui/51Na/KgbLePC2oXFu97gfSPxyllyUQzcGlfdN2Z2lDVtccc56sdOHyfERERQACB8BRwq4FeUCAd2BE+QBVqSKfg750KN9CNRnfLli1LNf3xxx/Vo0cPx+fuNtCNhvzSpUtlNMeN7eJP9DKa7BkZGTyB7mZV00B3E4phJQvQQKcyEEAAAQQQQGDZnL/V4uvLTQijQRk5fJvlczM35i5RvXeSXGB3PbRE1WrWBTuMBTalNlNdbTMFsm0vqfMlt55UJG/7ZlV90fV/oK7tM0MxzTucdC4DQlvg4IF9ip5Y3yXJ1b1/U+M2CV4nXvQJvQP2cooesZkvAnktGzwB5v7+meL+utdc8DZVU83UXJ8kYDwtfGhkbUVHHDHj5ZSwhbJPLkaQoBBYO7KNYuwbzLVmxY9TYq8HPVp7xou3K3n71+acmVUuVEL/Lz2KweDQF8h6rrcS83501lrVS5XY79NiiW9JbaLacjZd5nV/Wx27Xxv6QGSIAAIIBImAWw30IMkl0JfJFu7H7pCVmvN3/5EGeqD/2xXg6/N3AQc4D8tDAAEEEEAgLATm/PaJ4v8+dp6T8dqiGqqduspy7saW8BpTx+XcxGW9vlWL+HMtx2RicAscOXxIkWPruBwTsPzq79U87my3EtuV2kDVtNccO7fbm4o773q35jIodAXWLV+ghh+41tCefqt0RtUaXie9fuVCNXjf9azXvf1Xq3KV6l7HJkBwCGR8/rSSF442F7ssqrlaDJvls8VvGNlC9e1bzHjufqnIZwsgUMAIGF+oODCyrst22Yt7fKY2yZd4tMaMTycqebHzifOVkY3VdPhcj2IwOPQFVo3qqCYFzi8DpbcarJSbniyW+PqRLdXAvtl8f/ZZL6vTxX1CH4gMEUAAgSARsNLMDJLUAm6ZxlPhZ5997H93Tpo0SQMHDix1jQ8++KBeeeUVx+cbNmxQvXr1HP98oi3c+/btqzfeeEMRERHaunWrzjzzzBLjG5/VqVNHdrudJ9DdrBIa6G5CMaxkARroVAYCCCCAAAIIZH7xrJIWjDQhPD13syTBjanNVU9bzY+yU55X50vvADtMBTasylH995Jdss97eKmqnlnHLZGlYxLVMn+pOTa91SCl3PSUW3MZFLoCC/75Ru1/cf5l/l57BVUeucknCe/bs0uVnol1ibWuzz9q2Ly9T+ITJPAF0t54TLb175gLnV3xbHUa9L3PFr5kTLJa5eeY8TLaPqXkGwb5LD6BgkdgT94OnfFcE5cFr78tXQ2atvEoiUVpP6jtTzeacw7byyhy6EaVKVvOozgMDl2BA/v2qNykGJcvNOb0/EKtky4qlvTqUe3VuGCt+f6sxGfU5bJ7QheHzBBAAIEgE6CBfvpu2KFDh1S3bl3t2rVL7dq109y5cxUVFVVsAXv27FHTpk21bds2tW3bVgsXLjTHnKiB/tlnn5lnpT/77LPq169ficlNnjxZgwYd+98LnIHu3v2nge6eE6NKEaCBTmkggAACCCCAQNrbA2Vb87oJMbviWeo06AevYBaOO0ftDs83Y6Q376eUPqlexWRy8AqU1OisNGKD29thz3z2WiXs/tUEyKh1nZIffCt4QVi5TwSyvn5ZiXOcT82tjoxR4+ELfBLbCLJ/RG2XJ0Jzenyu1smuZ2L77GIECjiBotsc+/rnzuxJPdVp/z9m3mkx98h29zMB58CCTr1Abk62Yj85z+VCBwetV3TFyh5dfNe2Tar2UiuXObk3TVdsq3iP4jA4dAVysn5V6++c27AftUfo0MBcVaxctVjSy0d3VvOjK8z3s+LHKrHXQ6GLQ2YIIIBAkAnQQD+9N8x46vzpp592XHTYsGEaNWqUywKMp8LvuOMOvf/++473jafQ//Of/5hjTtRAP3z4sBo3bqyNGzeqevXqSktLk3EueuHXokWLdNZZZykvL8/xNg109+4/DXT3nBhVigANdEoDAQQQQAABBDJevE3J26eaEBlnXqXkh4/90m/1VazxUPNaJT/0ttVwzAtygcz/vaCkucPMLFZFNlYTD7aVLfolj3nRieo4xNlQD3Ielm9RIP3dJ5Wy+mVz9rzoBHUc8pvFaMWnbRjZUvULb19re0GdLrndZ/EJFNgCC8Z3U/tDc8xFpjd7VCm3uv5FmTcZFD2vOqPGlUp+5P+8CcncIBVY8PdUtf/tNnP1eaqkqqnO89A9SWtbaqxqapc5JTt5ijr3uNOTEIwNYYGMT8YrOWeCmeGJvniWM9am1kcWOf/3QbthSr5+QAjrkBoCCCAQXAI00E/v/TKeLo+Pj9fKlSsdF7766qt11113qX79+lq1apVeeukl/fnnn47PbDab/v77b5en1E/UQDfmfPnll7ruuusc86tVq6bBgwere/fuju3ajbgTJ050fFa7dm3HWeQ00N27/zTQ3XNiVCkCNNApDQQQQAABBBCYPamHOu3/14RIa9RXtrsmewWT9tYA2da+YcaYUyFF8YN/8iomk4NXIO2tx2Vb+6azHiraFD/oR7cTmjntNSVkDzbHr4uoq4Yjlrg9n4GhKVC0AZlZ/XIlPfqhz5Jli22fUQZloLUj2yjG7mxizkx8WgmX3euzXE7F7i8+WxyBTqtA1tRXlDj7CfOaqyJj1WT4PEtrmD++uzocmu38nS7mXtnuPva0FC8EsqbcqMRdzl2msqperMR+n5cIU+xLRC0HKuXmoSAigAACCASIAA30038jVq9erR49eignx3kMU9FVGGelT5s2TTVq1HD56GQNdGOw8YS70TgvKCgollzFihX1+eefO85gnz59Og10N28/DXQ3oRhWsgANdCoDAQQQQAABBJaNSVCL/GUmRGb7EUq6rr9XMJn/e1FJc51/yebNXwZ7tRAmB4RA1nM3KDHP+QUKT7dCXpr9p1pOu8rMJd8eKftTm1S2XPmAyI9F+Edg7sSLFXcgw7y4L778UziTYl8uohHlnxvth6vaCwp0aGRtRUccMa++uMdnapN8ic9Wk/H500peONqMt7RMS7UcmuWz+AQKHoG094fJtvIFc8Hzoruo45DfLSWQ/kpfpWz51JybXamrOg/8xlIsJoWewKpRcWpSsNpMLP0ETfG5Ey9S3IFM539jmz4i223On1mhp0NGCCCAQHAJ0ED3z/0ytlt/4403HM3sBQsWaPfu3Y5meadOnXTLLbfo5ptvVmRkZLHFudNANyb9+++/euaZZzRjxgzHdu3G2esXXHCBBgwYoDZt2jieSqeB7v69p4HuvhUjSxCggU5ZIIAAAggggMCW1CaqrR0mxJxz/6v4C270CmbhP9+p3S83mzH22ivIkzOvvbo4kwNOYNG4c9T28HznX9i26K+UW0a4vc68HVtV9YXmLuPX9pmhmOYd3I7BwNATWDE6Xs2OrjITy+o4SonXPOqzRDNeuFXJO6aZ8TLO7KXkh9/zWXwCBa5ASWdJb7wzU/ViXc8i9CaD2T9/oE7/PmiG2KRaqpu63JuQzA1SgYyX71by1i+cP8uq9VDiY59YyibzyylKmu/87+uayAZqNNy5DbeloEwKCYGD+/eqzMQYlYlwPtV2oi8GZU++XJ33/W3mntboPtnumhQSFiSBAAIIhIIADfRQuIvBlYOVmvN3/5EGenDVWMCt1t8FHHAgLAgBBBBAAIEwEyg4elQFo2q6/GXasl7fqkX8uV5JbFi9RPXfTXKJkffwUlU9s45XcZkcnAIbU5urnraai59t4SzpXakNVE17zRhzu76huPNvCE4QVu0TgaI1Mf/8d9Wh69U+iW0ESX+zv1LWveWs20rnqNPA73wWn0CBK7Bi3r9q9lUPc4EF9ggdfWqzT3e9WDLzd7X61lmvh+1lVHbEVkWU8MRK4EqxMl8IZE++Qp33/WWGSmtwh2z3Pm8pdNG6OmqP0JEh6xVdoZKleEwKHYGitWH8XDswYLUqnVGtxCRnPnONEvb85qzL+rfL1te5U0LoyJAJAgggEJwCVpqZwZkpqw4UASs15+/+Iw30QKmeIF2Hvws4SNlYNgIIIIAAAiEjsG3TWtV8rb1LPlv7zlWt+o29yjH/yGFpTB2Xxvzyq79T87hzvIrL5OATKKkWrHxJY8mYJLXKd557nt5qkFJueir4QFixTwQO7NujCpMbusTKvWm6YlvF+yS+ESTj0wlKXjzejJdTtq1aP5Xms/gEClyBOb9+rPgZ95sL3KIaqp3q3O3AFyvftGaZ6r6d4BIq75Hlqlqjli/CEyOIBHLGpKh1/mJzxRltnlRy78GWMti7e6cqP+v6O9yKa35Qs45nWYrHpNARyPh0opIXjzMTyo2MUezwBaUmmDnlJiXt+t78PL3OjUr5z39DB4RMEEAAgSAXsNLMDPKUWb6fBazUnL/7jzTQfVg0gwYN0uTJk82If/zxh+NMgRO9fvzxR73++uvKzMzU1q1bVatWLSUlJalv37669NJL3Vrd/v379fLLLzvOTVi+fLmMcxRiYmJ02WWX6ZFHHlGjRo3cimNlkL8L2MqamYMAAggggAACvhMo+pSd8aSSfegWlSlbzuuLFN0afm63NxV33vVexyVAcAmUtBvBroeWqFrNuh4lMvPZ65Sw+xdzTkbNa5X80NsexWBw6AisWTpHjT7q5pLQvsdzS32Szkrm2T+8o84Zj5lT10XUVcMRzi9xWInJnOAQKNpoOhXnkx86uF/lJ9RzAcm98Q/Ftu4cHEis0mcCxXZpOetldbq4j+X4RePNSpqiLj3vtByPiaEhULQhPrPKRUro7zw6oGiWGS/eruTtXzt/7+IYk9AoBLJAAIGQEbDSzAyZ5EnELwJWas7f/Uca6D4qlblz5yohIUH5+flmxBM10O12u+6//35H87y0l9FEf+211xQREVHqmBUrVjga5UuWlPwXMVWrVtVHH32knj17+ihT1zD+LuBTkhRBEUAAAQQQQMBtgbl/fK646feY47epmmqm5ro9/0QD141srYb2jeaQbNtL6nzJrT6JTZDgEVj4z3dq98vN5oL32aNVccRGj7cpTnt7oGxrnL97z4tOVMchvwYPBCv1qcCCv6eq/W+3mTF3q5KqpG7w6TUWpf+otj/2dqndSiM3+/QaBAtMgbTXH5Ztw/vO/35V6qrOA7/x+WLzUuurqvaZcRdc9IHan32Fz69DwMAVMI7SyR9VS+UijpqLXHrlVLXsfOKHOU6U0bIxCWqRv8wckhk3WklXPxK4CKzstAisGB2vZkedO2mktxyglJuHlXrt9FfvU8rmT5x1VK2nkh77+LSslYsggAACCJxcwEoz8+RRGYFA6QJWas7f/Uca6D6o6IKCAqWkpCgrK0u1a9fWli1bHFFP1EB/6qmnNG7csa2POnXqJOPp9WbNmsloiE+aNEmzZ892fGaMGzNmTImr3Lt3rxITE5WTk+P4/N5779WNN96oChUqOK49fvx4GWMqVqyotLQ0dezY0QfZuobwdwH7PCECIoAAAggggIBHAplfTlHS/BHmnOVRzdR8WLZHMUobvGpURzUpcDbjZyY+rYTL7vVJbIIEj0Dm/15U0tyh5oJXRcaqyfB5Hicw85v/KmHWIHMeTwN7TBhSE4rXVWM1GT7XpzmuXTZXMR92dYl5YOA6Vah0hk+vQ7DAEyi640V67d5KeaD0L89bzSB3VHvFFqw1p8/sMkkJV9xnNRzzglBgx5b1qvFKW5eVb74nW3UaNrOczaJx56jt4fnm/Iw2Tyi59xDL8ZgY/AIHD+xT1IQYlS30RY1Fl3yitrYepSaX9vojsm14z/nz6YwLlPD4V8GPQQYIIIBAiAhYaWaGSOqk4ScBKzXn7/4jDXQfFMuUKVPUr18/tW7dWldffbWjcW28SmugG9ust2nTxvG0uvHU+l9//eVoeh9/GVuyd+vWTTNnzlSZMmUcDXKjuV70lZqaqpEjRzreNpruAwcOdBliNM27du3quM55552n33//3QfZuobwdwH7PCECIoAAAggggIBHAmnvDJYt9zVzztwKyYob/LNHMUobXPwJqDFKuvphn8QmSPAIpL01QLa1b5gLnlMhRfGDf/I4gaXZf6rltKvMefn2SNmf2qSy5cp7HIsJwS9Q7GdXdKLifLwjwe5d21VlSlMXrA23Z6h+k9bBD0gGJxRYOO4ctSvUgExv0V8ptzi/bOYrvoXjuqrdYecXP07VdXy1XuL4XmDF/HQ1+/ISM3CBPUIFXh6lM2/Chep4MMuMmd7sUaXcOsr3iydi0AgU/R3KqLP9j69S5SrVS80h7e1Bsq1xnnk+u9I56jTwu6DJmYUigAACoS5gpZkZ6ibkd2oFrNScv/uPNNC9rIm1a9eqbdu2jie9jYb5n3/+aTa1S2ugP/jgg3rllVccVzaa3MbT60Vf6enpstlsjrcfeughvfjiiy5Djhw54njafdeuXY5m/IIFCxQZGVksjrFN/H//e+wXVqMh36VLFy8zdp3u7wL2aTIEQwABBBBAAAGPBTJeulPJ25xPk2RWv1xJj37ocZySJiwea1ObI4vMjzLaDVPy9QN8EpsgwSOQNeVGJe76wVkHFs8uz9uxVVVfaO6S+No+MxTTvEPwYLBSnwlkvtBHSTucW2pn1LhSyY/8n8/iG4HsBQU6PLK2ykccMePmXP6VWidc4NPrECzwBNaPbKkGdud2/bOSnlWXnnf7fKEzn7lGCXt+M+Om171FKfcf+7sGXuEhcCqO0smefLk67/vbBExr1Fe2uyaHByhZliiQ8dkkJS8aa362JrKBGg13/o5e0qT094cpZeUL5kdzT8EX1bhdCCCAAALWBaw0M61fjZkISFZqzt/9RxroXlbuFVdcoW+//Va333673n33XRV+KrykBrpx9nlMTIzWr1/veGJ98eLFpa7A+Nw427xhw4Zas2aNy1nov/zyiy6++GLH3AkTJmjw4MElxinciH/yySc1dqzzF14vU3dM93cB+yIHYiCAAAIIIICAdYHZk3qq0/5/zADpDe9Wyj3PWg9YaOaC8d3U/tAcZ+yWA5Vys3Mrb59chCABL7Bw3Llqd9i5ZXt688eU0ufYLkyevnamNlR17TGnze36huLOv8HTMIwPAYG5Ey5UXKEnLNNi75ftzok+z2xTanPV1VYz7uyzXlani/v4/DoEDByBY2dS11a5iHxzUTmXfanWiRf6fJFFzxjOqnqxEvt97vPrEDBwBTK/fE5J81PNBfriKJ2iRxCk1esj230vBy4CKzvlApnP36yknc6nx2dWuVAJ/b884XXTPx6rlCWTzDELyser/RPTT/lauQACCCCAgHsCVpqZ7kVmFAIlC1ipOX/3H2mge1HNn332mXr37q0aNWo4tlmvVavWSRvoK1euNLdjv++++/Taa84tT4suxfj89dePnZNmzGvSpIk5ZPjw4Ro9erTjz6U9xW58ZmzfXq1aNe3bt8+xnfv06b79ZdXfBezF7WMqAggggAACCPhAYMmYJLXKX2JGymg79P+xdyZgUZXtG79BRNxABQVRBBQQBWRnZqy0bDfTSsu0/pZZZtli7isMbqlpLmW5tNpiZZuWlpaVZs4Mm+wgi4gIouK+obL8r4Of73FGllnOmTPDPHNd3/Ul8773cz+/eZkZznPe54XsKe1jZYwNk7b0foReSWDT1T3fgHzMje8/9LAdAmXx/vCsPcESTpGtQsTDY40CoLte1b2nQz5qjlFaNMm6CRTN7wffmmKWRGLYIkQ/9prgSeUtjEZAVR7/HhkUC9mTUwSPQ4KWQ+DU8aNw/TBIy5CpZ1I3lJ3uDs+MVhEImfW35cAgJ6IT0G2TbewxJ7ca1az5P8hOb+Pft4zs/CJ68hTAbAR0P8v0OS5Cs2UFZFl86//cln0ROEdlNs8UiAgQASJABBonYEwxk5gSAVMIGLPmpK4/UgHdyFf8Zuv08vJybNy4ES+++GKdUlM70Ldv344hQ4bUjV25ciUmTZrUoAPu+cmTJ9c9z80bPHgwG/vkk0/i+++/r/v3mTNn6orkDT1CQ0ORnp5eV+A/cYK/+Ghk6lrTpF7AQuRAGkSACBABIkAEiIDxBMTcXXl7C9GXoXiB38livGuaaS0Eqq5fAxa6w8GuhlnOH/YL/MMHGJWC7q46DRUFjOLYHCadV3aFMy6zVDLv3YTgu4YJnlrq0gcRdkXNdMXa6S64cRI0mkB+6r/w//nG3/zco6rWHnbzTqKFg4PRmg1NTPx5LaJTZ7Oni+x94BvLn4kueEAStDgCmvfGQHZqK/OlcR0G2eubTPKp/mA85Ce+ZRoJHQYjZtJmkzRpsnUTOKH0RRecZkmk3rUeYfc+3WhSiT+/j+hU/iZFIbojWDdFck8EiAARsCwCxhQzLSsDcmNtBIxZc1LXH6mAbuQqGz9+fF3hvH///ti3bx9rr95UAZ3bcf7KK6/URd2yZQtGjBjRoAOuQM4VyrkHN4/bkX7zwZ2brtFo0LZt27rz1xt7cAV7rgDPPSorK9GqVSu9s+YWaGOPY8eOISYmpm5IXl5eXbv5+h6Ojo5o0aJF3VPV1dW4du1ao7qtW7dmz3PnvXM76Rt6cGe/35oTp83FaOjh4OCAli1bsqc5Jlxr/YYe3FhuDveoqanB1atXG/XOebl5Hj3nm/Pf0MPOzg5OTk5658ox5FjefHBeOE/65nrlypVGvdPrVD8eep3o94lbGbrvHfT7xP++0Pte/e8dtvD5xJ3v67DMC452/PtE3tCt8A5SCPL5lPnBM4i+5WxXledziBm3kr5H/G/J2cLn0/GSfPh8fZfWL9mZiblo6+Jq1Pe9lK/m4o6jHzG99FaR8J+0ve67IX3fq/+9rDl+L7984SxcPwjUSrjwyd3oFRQl+Pfy9HUvQHZuB9PVuD0B2Wufgr5HNN/vEZl/f4PoBP5G+XK4wWVGZl3CQv8+5fy3DRH7xjOYp+GMTsqSun/T37n8GmvOf+fmrnkM4bfepOM1HopxN84rN/Z6RMrn03FHOV+ET2x3D4Inbq67pkPXI+r/rGzO3yNqaqrRclkPne/72xAQMbDR63vpuz6H7AB/3ORhey90m3WAru/9bwnR7xNdh+WWQnP+fNJ9t6TrRpZ33Yg7MpiroXB/B/v5+dUZ5K4xcP/jHly9pLGaCTfmZg2E++/GahQ3sxdzvC15t9ZcCwoK6r4HcN+b/P399aoTnjp1qu5IbO5RUlLSYP2x/t8w039KBXQjGHIFc64dOvdlJyUlBSEhIUylqQL6O++8g+nTp9eN/+233/DQQw816IB7/uau8+XLl2PKFL7VX1BQELKzs+Hu7g5uF3xjD67NPNdunntUVFTA1dVV76xvvmHqM+Gjjz6Cm5tbvUPvuuuuulb33OP06dP4999/G5UcNozf/cH9YmVlZTU4vmPHjnWvx81HYmIiysrKGhzfq1cvBAcHs+d37txZd3GhoUdUVBS6detW9zR3oWvXrl2NeufOpr95YYQ76z4pKanB8Vzx/MEHH2TPZ2ZmorCwsMHxnp6eiI6OZs/v3bu3rgNBQw9undz8AOTGbN3K35le3xx6neonSa8T/T5xK4N+nxp+66P3vfrZ2MLn0/UrFzAid6IWAK5N7cFDpYJ8PjlnfIR7qvYyfbX7KASMXEzfI/5HxBY+nyrLczHy2GK2Bi7XtkLruHIkJScb9X3vWrEKT57+kOmV1LojJeId0Pe9ht/jm+P38sozpRh5eJZW0jsiN2Hwo/zfIEJ9L3fI/R6PXOFbIae0G4CIqb/Q9/Jb6De37xE1BX/g8Qtf8H/jwR+F4fPq/i3071Pl6SMYWTyXxaqptUP1nONo6dgK9Hcuv8ia89+5gQdi0RuHWbL7+8xD/5FT6/5t7PUIu4PbMPTyjY6H3ENtH4HjoZNA1yNs87pRfd/3y19IgkcP/0av7109moKnTq5i66jUzh1XntlB1/f+R4R+n2zz90n3G3dz/nzSzbW5fd9r+K8n4b/v3RpLyLoGV6vhahjc/7j3JK4O5OzszIri3CbFy5f5jl26OXPjXVxc2I+5ukljGw+5oim3GfTm48KFC43eFM9d77h14yHXEbqxR7t27dhN8VyRtqlNp7d2dOZqQ43Vh7g6YPv27Vl47rjkxjZNcjeM3Hrj7Llz5xq9GaFNmzbsJkXuRoTz5883mqs1vk7czRhczY77f44Nt5bvncwUAAAgAElEQVT1qRNGRkZSAb3R1WBhT3JvHGFhYcjJycG0adOwbJl2G9GmCujcueXc+eXcY/fu3Rg0aFCDGf7111+49957657n5s2dy/9hzC0w7lx07u4L7m6hxh5jxozBF1/c+APe0Ls0qIAOuqDayOIS+gKQWF8I6kuBvrjV/8LaQsHvZub0Byv9wcqtBfqDtf73An0Ls5WnSzCymG/NePPCvUqtEaSA3ibrc9x/bTczye3c9B+9ggro/yOi7+tkze971w7/hyfPrGdr4LB9D/jEZsDYGyavVBzC0yVKpse1Vv4l9CPEyOR0w2QD3/ma4/e9yrJMjDzO/x13prYdEvp/IsqNrTUFu/D4hS8Z3eyWweg75z8qoN+y3prb93LHnO/wcOWvLMN9LWQ41e/GzWZC/z5du3IeT+a+pvXbe3J8Gjp7+lAB/RYqzfn7Xv+UN9DZjr+gnNT/A0Q98Exd9sYW0Gvyf8fjF79mBFPsglESNp0K6Da68aK+m86uzjyGVk5tGr3wXVmWgZHHb3RD4B4n0Annn/2DCuj/40HXI+h6BF2PoA1n3BqQ8josV/zmCrfc/7p06VJXwLXGwuzNzxkqoNf/B72l3OjA1VVvHi/NrT2urkkF9AYuwljzj28WyHv06FG3A/zWu2a4vJoqoFvbDnRq4Q5q6dnIL6zQLQhvDUWt9hsGTy2eGv5CQEci1M+Gfp/o94kjIEbLtJx9WxHxH3/EzM3WsUIdMXLg49fRv2ILewETOj6CyNe+oBbu/yNiCy3cdVuup7WWIXTGrro1YMyRPefPnIT7Br57FIey4Mk/4dM7nFq4N/BW2Ry/76X+8gEU2fNZxoX2vug2XS3K0Uq6LWxL7DzhFZdDLdxvWW9ifD7dlJeiRW7m2tGIvvgXy3B/l6cRPvbGLkyhf5+qq6rgtLwHHOz4Y70KHt8Ov9A7qYX7LWusuf79VFV1DW2Xe8Pejm+FXPDEb/Dr178ue2NbuB/4eQ36H+S7v+Q49IHPlL+phbuNHv13UPM7wv55nv1GnUdbOCtvdKlr7IjGgwk7Efb3c2zeWbRD2zmHqYX7/4hI8fnU2PV4oT+f6PreDQJ0ZA+/Eprb973m8PvE7Yrm2mNz1xW43ehcEd1aW4Nzr4ctebfGXLniOVcw5x4eHh51a06fo56phXtj7zYW9lxubi5CQ0PrLthxrbCHDh16m8OmCujWdgZ6Uy8BV2CX8gyCpvzR80SACBABIkAEiIB4BBJ+eg8xaXyHnMIWvug1L1WwgKoNr0NRxp/BmeR8H6Im/yCYPglZPoGEVaMQc/b286NNcX5G2R0dcYFJpA3YiNBBT5kiSXOtjIDq46lQlGxkrlNbyxE2Y6coWWT9tx1Bf4xm2ufRBs7KY6LEIlHLIJCzqD/6XOePIFMHTIN8NP9ZKbTLk0ofdAZ/rBe9pwlN2HL1TpQWocvGMC2Dp1/NRqcuN46gM/aRuPUDRB/gj7kobNETveYdMFaO5lk5gaTtGxGVeONYAO5xxL4besRmN5nVwaS/0PvXx9k47hieNvEnmpxHA4gAESACRMA8BLga161HyXIFdK6tOXeDDz2IgFAEuCI5137/5u5zTpfrrs3d4KrPQ+r6I52Brs+r9L8xL7/8MjZs2ICePXti0aJF9c78/vvv8cMPNy7szps3D3379q3770cffbRut/qvv/5a99/cY+XKlZg0aVKDDrjnJ0+eXPf89u3b2Xno3L9HjBjB4nBnYN96ZoOuIFf0T09PR+fOnbUWqgGpNzhU6gUsRA6kQQSIABEgAkSACBhHQPX5bCiK1rLJ6U7R6DfzT+PE6pmlW+RKaTsAEdN+EUyfhCyfQNbiAQi6lsaMqnu9Cfn/8TuHjcng4EIZelfl8poiF7eM8UhzxCWQsHo0Ys5sZ0E0ro9B9vrnogQtzk2B9zf3aGlXziiDU2v+/D9RApOoZASOKf3QFSdZ/BT5akQ8xO/eFNpYwYII+FUXMtnEfvMR/cSbQochPQskkJfyDwK2DWPOrtW2gEPsSdibeOE75ffPEKHm19DNzhkWiIAsmYGA+uuFkOfxrdizHUPQd/a+JiMXZqjR64cH2Tju2ByHeP5mnyYFaAARIAJEgAiITqCiogInT/LfW7mAXAHdkGN9RTdJAayWAHfeuW7nQK5G6ebmpndOUtcfqYCu90sFPP/88/j8c+MurBQVFcHHx6fu3HLuDgvuwRXkuR3pDT1uFuy557l5vr6+bCh3jjp3Ljr3UKlUkMvl9cpwLbu44vqlS5cwYMAA7Nmzx4CMmx4q9QJu2iGNIAJEgAgQASJABMQioHn/Bcgq+B3hCR0GI2bSZsHCqT6fA0XR+0xPzF2igpkmIUEJlMUHwLP2ONNMjlmFyMFjTYqR9O4IRJ3/g2lo3IZD9tonJmnSZOsikL5kEPpVJjPTap+JkD/PtysWMptzp47D5b0ALcnyF5Lg0cNfyDCkZSEEuJbqNQu6oKVdNXOUN3QrAiLuFs1h2pL7EFqZaJb1LFoSJGwUgQO7vkT4/olsbjk6w0NZYJTWrZPS/t6C0D0vsh8dhyvclYdM1iUB6ySg2xEqud3diJy6tclkjuSlosfXA7XGVc05CYeW+u04azIADSACRIAIEAGTCXAFzmPHjoFr504PIiA2Ae7s865duxp0g4bU9UcqoBuwKoQooHNvSt27d0dZWRkCAwORk5PToIM+ffqAaxvfrVs3lJSUaC2sXbt24cEHb9zJuWTJEsyYMaNeHbVaDYVCUffcrFmzsHixsBeGpF7ABrx8NJQIEAEiQASIABEQmEDKO48i4tJepqrqNhaKl26c8yrEQ/31AsjzljOpjFbhCJn1jxDSpGEFBOovRG1DQIT2xVhDU1F9Mh2KI+vZtHSnKPSbudtQGRpvxQSK5wfDu6aEZZAY/jaih70qSka1NTW4Hu8GR62CqunrWBSzJGoygYqyYrht6KelUzE+HW6e3iZrNyRw21EXnUdANvFj0eKRsOUQ0Hy7FLIc/hpPrkMfBM5Vm2wwa/8OBO0axXS4s6s7KEtN1iUB6yRg7HtM2eGD8PwsRivpS1OK0bZ9B+sEQa6JABEgAs2YQGVlZV2b7cuXL9+2Y7gZp02pmYEA19GgTZs2dZt8nZycDI4odf2RCugGv2SNT2jqDHRu9quvvooPP/ywTqih3eO3Fr658WvX8u1RuXncGRXcuRTc3UFcoT0rK6veOzcmTJiA9etvXCBMSEhAdHS0oBlLvYAFTYbEiAARIAJEgAgQAYMI5C5SIPA6fwaips8syEbONEijscGa75ZBls0fm5PdMhh95/wnmD4JWTaB8pICeHwcqWVSiLNdk37dgKikaUy31M4d3eLyLBsGuROMAFfQvhzfFW3tKplm1v1fI+iORwSLoSt0QumLLjjNfpx613qE3fu0aPFIWDoCBWn74PcTv5a4lsX2sRUmt9RuLCPVhjegKOM75aW0G4iIqdukg0CRzUZAtXESFKWfsnhCHXWTl7IHAduGMt3K2pZwiq8wW14UyLIIpC29H6FXEpgplc8rUDy/pEmTFeVH4LYuRGvcmYm56Ni5a5NzaQARIAJEgAgQASJABDgCUtcfqYAu8DrUp4Cel5eHoKAgcO3Vo6KisHfvXrRu3Zo5uXLlSl279aSkJDg4OCA7Oxv+/re3+Lu1jfuyZcswbRp/IZAT44rznA4XZ+DAgfjnH+F3bEm9gAV++UiOCBABIkAEiAARMICAbnvtA4o1CH/wOQMUGh+a8NMaxKTNY4PyHAIQMJdvUytYIBKySALZ6t/R9/eRzNvl2lZoHVcOO3t7k/zqFgaqa+1QPbscjq0MvxvaJCM0WRIC58+egvOqnlqxS8fsR7eeQaL50T2jOiEkHjHDJ4kWj4SlI5D571YE7x7DDJyBMzoq+W4HYjhTb14M+cGlTJpuNhODsmVqJq56GtFnf2PmNAJ1HzickwSfb+/VSrpm3mlRbwSxTMLkiiOQvyAS/tX80QAJIUrEDH+rSTjnzlTAZfWNIyxvPo6/mAL37to/a1KIBhABIkAEiAARIAI2S0Dq+iMV0AVeevoU0LmQXDt1rvU69wgPD69rwc6djV5YWIilS5fiwIEDdc811nb9woULdQV4riDPPcaPH4+nn366rhj/999/17Vrv3jxYt2/9+/fj7CwMIGzlf4OEMETIkEiQASIABEgAkRALwLcLs5r8V3Qyu46G5875EcERmlfcNVLrIFBSb+sR1TydPZskb0PfGPTTJGkuVZEIHHrB4g+MIs5PmzvBZ/YTJMzqO+Cbskze+HlH2qyNglYPoH6CkOVM8rg1LqtaObpjGrR0FqccPKOTxGZwN8cUWLnCa+4ho9tEyIBKWIK4Zs0TCeQvmQQ+lUmMyGV72tQPMd37jE2QllRLjw/l2lNvzz1CNq0czFWkuZZMQFju6hUXrkEp6WeWpkfffY/dPcLtmIaZJ0IEAEiQASIABEwJwEqoJuTthli6VtAr6mpwUsvvYRPPvmkQVfjxo3Dhg0bYN/ILpuCggIMHjwY+fn59eo4Ozvjq6++wpAhQ0TJXuoFLEpSJEoEiAARIAJEgAg0SeDc6ZNwWeOnNe7Y2AR09e7d5Fx9BxzY+TnCVW+w4eYoROjrjcaJT0D16QwoitexQGlO0Qid+acggc8ovdAR53ntAesROohaagsC18JFdM/2PY82cFYeE9W17i5RdecnIZ/4kagxSVwaApotKyDLms+CH3Tojd5z+dbHYrjS7dZxqdYJbeOPixGKNC2MQNH8fvCtKWauEsPfRvSwV012WVFeArd12kVOIY5QMdkYCZidAHfD7PV4NzjaVbPYeUO3ISBiYJNeuLl28ztqjSt66k/49hX2aMkmjdAAIkAEiAARIAJEwGoJSF1/pB3oAi8dfQvoN8Pu2LGjrkiemJiIiooKuLm51Z1T/vLLL+Phhx/Wy92lS5fqzkjfsmULuII6dz66l5dXXWH9zTffhLe3t146xgySegEb45nmEAEiQASIABEgAqYTKM5Jhve3g7SErs48hlZObUwX/59C2l/fIXTvS0yvHJ3hoeRbSAoWiIQskkDCqlGIObuDedO4PgbZ6/w5v6aYPrhQht5VuUxCHTAN8tFzTZGkuVZCIGXnF4hQvcbcltq5o1vcjY5eYj1U61+H4tgmJp/c/h5ETvlZrHCkKyEB1aZ5UBxawxykO0Wjn0A3/jSUVklBBry+vFPr6UtTitG2fQcJSVBocxA4q+yGDrjIQmXeuwnBdw0zOfTF82fQ7l0fLR2hb5I02SQJmIXAuVPH4fJegFas8heS4NHj9mMm6zN0Nc5Nq1tV/rBf4B8+wCzeKQgRIAJEgAgQASJg/QSkrj9SAd3615CkGUi9gCVNnoITASJABIgAEbBhAhl7tyLkr1vPeW2PjsqjghLRPUu2Ah3gpuR3WgkajMQsjkDm2wMRfDWV+VL3fAPyMQsE8Zm48klEn9vFtDRuT0D22qeCaJOIZRNI+GEVYjLimMl8B3/4z00S1bT6q/mQ569gMbIc+yFo9r+ixiRxaQio1k+E4tiXLHiS832ImvyDqGbqK3aWjtmPbj2DRI1L4tISqLx8EU7LummZKH76b3gHRphsrOr6NTgs6iyKtsnmSMCsBIpzU+D9zT1aMQ059uS8siuccZnNz314CwJlD5g1BwpGBIgAESACRIAIWC8BqeuPVEC33rVjEc6lXsAWAYFMEAEiQASIABGwQQK651MX2XvDNzZdUBK5ml0I/O1JpmmOVsuCJkBiJhEojQ9At1q+DXFyzLuIHDzOJM2bk1WfTIfiyHqmle4UhX4zdwuiTSKWTUD9RSzkhatvee0j0W/mX6KaTtq2DlEpM1iMYnsveMdmihqTxKUhkLDmWcSc/oUFN8fNOVyb5CvxHmhjd5XFpSKVNK+/OaOWHspBt01yrZDnJx2CcwdXQWxci3OFo10V08p/7Ff4h90liDaJWA+BzP9+QfAfz97yXbwtnJVleidQofSGG86y8UJ1SdDbAA0kAkSACBABIkAErJqA1PVHKqBb9fKR3rzUC1h6AuSACBABIkAEiIBtElBvmgf5LW1qM1pFIGTW34LCyD+wF/5bH2WalbUt4RRfIWgMErNMAtVVVahe0EXnzM2tCIi4WxDDSb9uQFTSNKZljjbeghgnEZMJqDa8DkXZre3UByFyyk8m6zYmoNux4yzaoYOyVNSYJC4NgZR3HkXEpb0suKr7C1C8uFJ0M7o3HKXIVyPioedFj0sBpCOQo9mJPr89xQxcrm2F1nHlsLO3F8TUeaUnnHGJaWU/9C36yh8SRJtErIdA0vaNiEqcygwfse+GHrHZeidwTOmHrjjJxqcNWI/QQU/rPZ8GEgEiQASIABEgArZNQOr6IxXQbXv9mZy91AvY5ARIgAgQASJABIgAETCKgPqDlyA/8R2bm+jyEKLf+tYorYYmFWUnwve7+7Sero09I9jFYUHNkpigBI4fLYT7R9ptaE+9kgVX9+6CxNG9OaO61g7Vs8vh2MpJEH0SsVwCmjX/B9npbcygOXYIF2Vp4LtFu2Xt9dkn0NKxleWCImdGEbjt6An/KZA/E2uUliGTchcpEHidL2pp+syCbORMQyRorJURSN7xMSITJjPXJXae8IrLESyLE0pfdMFpppd+9yfod/dwwfRJyDoIqL9eCHneO8xstmMI+s7ep7f5kvg+8Krld6zTzT16o6OBRIAIEAEiQASIAACp649UQKdlaBIBqRewSeZpMhEgAkSACBABImA0geTlwxB58R82X+U5Borx7xmtV9/EowWZ6P7lHVpPXZ15DK2c2ggah8Qsj4DuzrortY5wijsu2M0T585UwGV1L63ES57ZCy//UMuDQY4EJZCy/FFEXDTvDuFTx4/C9UPt86hPvJSKLt18Bc2NxKQnULAgAn7VhcxIQuhCxDz+uujGUt4ZgohL//KfyWba+S56YhSgQQLqr+ZDnr+CPZ/lGIIgAwqbTaE9Gh+I7rXH2LAD/dci/AG+lXdT8+n55kFAteENKMo+Z8mktBuIiKn8TWhNZXlofih61hxmw5IiliJq6ISmptHzRIAIEAEiQASIABGoIyB1/ZEK6LQQTSIg9QI2yTxNJgJEgAgQASJABIwmkL3oDvS9zp/hq+49HfJRc4zWq29ieUkBPD6O1HrqwltFaO/SSdA4JGZ5BJK2fYioFH73ZLF9d3jHZglq9IzSCx1xnmmmD/wY/e4ZIWgMErM8ArftEA6YCvnoeaIa5Y4kwAI3tLCrZXEKHt8Ov9A7RY1L4uYnoNuuOPWODxF2/2jRjWjeHwtZxY8sTkLHIYh58yvR41IA6Qio170KeTn/Gie1vxdRU/g1YKqz2wqfkcsQ9ejLpsrSfCsjkLBqFGLO7mCuNZ1HQDbxY72zyFsYjYCqPP69KSQeMcMn6T2fBhIBIkAEiAARIAK2TUDq+iMV0G17/ZmcvdQL2OQESIAIEAEiQASIABEwisDR+N7oXlvO5ibHrELk4LFGaTU06fSJUnT6oK/W00K28RbULIkJSkD16QwoitcxzXSnaPSb+aegMQ7PD4FPzRGmmRT1DqKGjBc0BolZHoHCBeHoVX2IGUsMW4zoxyaKbrRC6Q03nGVx0gZ+hNB7nhQ9LgUwL4ELcR5ob3eFBTXXudG675mpreUIm7HTvMlTNLMSSHp3OKLO85+Lao9nIJ/wgWAeDi6UoXdVLtNLCFEiZvhbgumTkHUQSFt6P0KvJDCzKp9XoHh+id7msxffib7XMth4Ol5Cb3Q0kAgQASJABIgAEaAd6LQGrJ0AFdCt/RUk/0SACBABIkAEDCdQW1ODK/EeaGN3lU3OfXgLAmXaZ/warqw948K502i/UrvFcfm4ZHh4+ZkqTfMtnEDC6tGIObOdv+Dq+hhkr/MtRIWwf9uZwX3nQvbUNCGkScOCCZQr/eCBk8xh6l3rEXbv06I71t3Naa7W3qInRgEYgarr1+CwqLMWkaKn/oRv32jRKSV8/y5iMuNZnHwHf/jPTRI9LgWQjkDW4rsQdC2dGVD7T4H8mVjBDGUtHoCga2m8vgidhgQzS0KiEchfEAn/6gKmb+iNFOlLBqFfZTK/jvzegvxZpWh+SZgIEAEiQASIABFoXgSkrj/SDvTmtZ7Mno3UC9jsCVNAIkAEiAARIAJEAPUVtkvHqNGtZx9B6Vy7WgnHt921NEue3QcvvxBB45CY5RHIePtuhFw9wIyper4BxZgFghpNW3IfQisTRY0hqGESE4TApTh3tLWrZFq5g79HYMz9gmg3JpLx9j0IuZpC60100tIFOHPyGDquDdQycHJ8Gjp7+ohuKvXPzQjbx58rfByucFfynRZEN0ABzE6gJL4PvGrLWNzk6BWIfORFwXykLX0AoVc0/HuW72tQPLdIMH0Ssg4Cx5U94Y5TzGzqnesQdt8ovc0fWPYwwi/v59eRgTvY9Q5EA4kAESACRIAIEIFmSUDq+iMV0JvlsjJfUlIvYPNlSpGIABEgAkSACBCBmwSKD6bCe/NALSCV00vh1KadoJC4ne528ztqaRY9uQu+QTJB45CY5RE4Gh+I7rXHmDGhCwOccPKKxxF54S/+oq7nc1CMX2N5MMiRYATquymneNQeePcOEyxGQ0JJ745A1Pk/2NNq96chf2W96HEpgPkIlBRkwOtL7XPtxfhsrC+jvJQ9CNg2lD11rbYFHGJPwr5FC/MBoEhmI1BfJyChjwtIWT4UERf38O9Z3cdB/uK7ZsuRAklPgFtn1+Pd4GhXzczkDd2GgAjtvwEac5q8fBgiL/5D60j6l5McEAEiQASIABGwSgJS1x+pgG6Vy8ZyTEu9gC2HBDkhAkSACBABImA7BLJVv6HvTr7l8YXa1mgfz5+HLiSJyjg3ONldZ5L5w36Bf/gAIUOQloURqKmuRtX8zloXbA8O+Qm9owYJ6lTz3hjITm1lmhq3JyB77VNBY5CYZRGoKC+B27pgLVOnXsmCq3t30Y2qP5wA+fHNLE6S832ImvyD6HEpgPkI5KX8g4Btw1jAq7Ut0Sq+wiwGyksK4PFxpFass68dRAc3D7PEpyDmJWCOTkCJK0ci+tzvLDG1+yjIX1ln3kQpmqQEzp06Dpf3ArQ8lL+QBI8e/nr7Slz5FKLP7eTXkcczkE/4QO/5NJAIEAEiQASIABGwbQJS1x+pgG7b68/k7KVewCYnQAJEgAgQARslkJu0G5VnT6C3Yghat21voxQobWMJpP7xNcL+e4VNL7PrAs+4fGPlGp13XukJZ1xiY3Ie/g59ZA+KEotELYPAidIidNmovSO4YkIG3Dx6CGpQtX4iFMe+ZJpU0BQUr0WKFeemwPube7S8XZ99Ai0dW4nuV/1FLOSFq1mczFZhCJ7F7+4U3QAFEJ1A+t/fo9+ecSzOSXREZ+Vh0eNyAa5WXkarJV21Yh0euRs+faLMEp+CmJeAOToBad57DrJTP7PENK6PQfb65+ZNlKJJSqC+z8zKGWVwat1Wb18Ja55FzOlf+HXUeQRkEz/Wez4NJAJEgAgQASJABGybgNT1Ryqg2/b6Mzl7qRewyQmQABEgAkTABgmov14Ied47dZkfdAhEj7f+pCK6Da4DU1JO/HktolNnM4nCFj3Rax5/XrUp2rpzK5TecMNZ9uPMezch+C5+h5+QsUjLMggcTPoLvX99nJnhdnE6xp2Anb29oAZVn8+Gomgt00xrLUPojF2CxiAxyyKQq9mFwN+eZKYu1rZGO5G6Z+hmrvu+WWTvDd/YdMsCRG5MIpD06wZEJU1jGoftveATm2mSpiGTzyq7oQMu0uelIdCsdGzmv1sRvHsMc38ObeGi5M9DFyIt3a4ZiS4PIfqtb4WQJg0rIZD133YE/TGauT2PNnBW8sfr6JOGZu04yE5+z4YmdHoUMW/wNy/qo0FjiAARIAJEgAgQAdslIHX9kQrotrv2BMlc6gUsSBIkQgSIABGwMQJH43ujey3fblvl9RIU45bbGAVK1xQCt96EwelkOYYiaPZeUyQbnHtM6YeuOMmeTxuwHqGD+PbxogQlUUkJpP31DUL3vsw8lMMNHspCwT1pvl0KWc5ippvTMgh95uwXPA4JWg6B1D83I2zfBGboGDqjq7LALAbT//kB/f55gcU6DWd0UpaYJTYFMQ8BzbdLIMt5W7L3lMPzQ+BTc4TFT4pYiqih/Ho3DwWKYg4CiVs/QPSBWSzUYfse8InNEDS0+qPJkB/ldwqntBuIiKnbBI1BYpZNIGn7RkQlTmUmj9h3Q4/YbINMq9e9Cnn5V2xOossDiH5ri0EaNJgIEAEiQASIABGwXQJS1x+pgG67a0+QzKVewIIkQSJEgAgQARsiUFtTg6p4N7S0q2ZZV9a2xOmx/8HTp7cNkaBUTSGg+mQaFEc2MIkDbe9E+LTtpkg2OLckvg+8avldVSny1Yh46HlRYpGoZRBI/Pl9RKfOYWbE6nCQtG0dolJmsDhF9j7wjU2zDAjkQhQCumuroEUv+M1LESWWrmhh+n70+vFh9uOaWjvUzD0Bh5aOZolPQcQnoPp0BhTF/BnRqW0UCJvOnyEttoPMtwci+GoqC6P2ewvyZ5VihyV9CQioNs2D4tAaFjndKRL9Zv4lqBPV53OgKHqfaVKXFkHxWoWY7g2z2Y4h6Dt7n0He6UYMg3DRYCJABIgAESACRECHgNT1Ryqg05I0iYDUC9gk8zSZCBABImCDBM6dqYDL6l63ZS5mAdQGMTf7lNUfjIf8BN/GM6HDYMRM2ixK3ofmh6JnDX+GbFLkMkQ9yu9OFiUoiUpKQP2lEvKClcxDRqtwhMz6R3BPqbu/Qdi/t+507wwPM+1GFjwZEtSLgPqreMjz32VjzXkOeUVZMdw29NPyWTEhA24ePfTyToMsn8DtLa8fRPRb35nNeNK7wxF1/k8WT+0+CvJX+IK+2YxQINEJqPwbcTAAACAASURBVNe+CPlJfhdvYoeHET3pG0HjqjcvgvzgMqYpZrchQY2TmGAEVBvegKKMP/femC4E6s9mQ36YPy7H3DcWCQaDhIgAESACRIAIEAFJCEhdf6QCuiQve/MJKvUCbj4kKRMiQASIgHkIlBRkwOvLO+sNljHoM4QM4M8dNo8jimKNBBJXjkT0OX5XnZgX6fMWRiOgKo9hSuw3H9FPvGmN2MizngR0L9gmt78HkVN+1nO2/sOy1b+j7+8j2QRjzvbUPxqNtAQCqo2ToCj9lFkxphhgbB5V16/BfmEX2NvVMonC4TvRK0RurCTNszACiaueRvTZ35grdZeRkL/Kd2sR265uAT/J+T5ETf5B7LCkLwGBlHceRcQl/ugcVbfnoXhptaBOEn5YiZgMvoPBQYfe6D03QdAYJGbZBBJWjULM2R3MpMZtOGSvfWKQad0b1zJaRSBk1t8GadBgIkAEiAARIAJEwHYJSF1/pAK67a49QTKXegELkgSJEAEiQARsiEBuwh8I3DGi3oyL7bvDc2YKWjq2siEilKoxBA4sexjhl/mzolXeE6AYu9QYqSbnZC+6A32vZ/IX7/rOgeyp6U3OowHWSyBhzbOIOf3LLRdsn4DsNb7oKVRmhzI16Pn9A0yOa6mN2FOwb9FCqBCkY2EENO89B9kp/mYMjeswyF7fZDaXZ5Re6IjzLF7GPZ8iZOATZotPgcQlcNtnY4+XoXiB38ErbnRA/WUc5AWrWBhzdlgQOzfS1yaQu1COwKoc/nOyzyzIRs4UFFPSL+sRlcx/36JjTgTFaxViaUsfQOgVDfNqzPd9zbdLIctZzDSMaQNvFbDIJBEgAkSACBABIiAKAanrj1RAF+VltR1RqRew7ZCmTIkAESACwhBI/eNrhP33SoNiav/JkD8TJ0wwUmm2BLIW34mgaxn8hdvAmZA9PUuUfDPevgchV/kzitX+UyB/JlaUWCRqGQRS3hmCiEv/8hdsvV6CYtxywc0dKz6Irp/GaOmen3QIzh1cBY9FgpZBIHnFY4i8wO98U3k+B8V4/hxhsV0enh8Cn5ojLExi+NuIHvaq2GFJ30wEshffib63fDaqe8+AfNRsM0UHkrZ9iKgUvoh62L4HfGL5z2qzGaFAohM4pvRDV5xkcQ70X4vwB54VNO6BXV8ifP9EpnnUzgPd4w4KGoPELJtA/oJI+FcXMJMJIUrEDH/LINOJP65GdDr/vT3PIQABcxMN0qDBRIAIEAEiQASIgO0SkLr+SAV02117gmQu9QIWJAkSIQJEgAjYEIGEH1YhJqPhAvnF2taofCXhtjNZubNbiw/8Acf2rtTm3YbWS0Op3nYuecQSRA1t+MYMU5ClLn0QYVfUTELl+xoUzy0yRZLmWjgBcxWhzp2pgMvqXlo0yl9IgkcPfwsnRPaMJXDbDTl+kyB/Nt5YOYPnZb49EMFXU9k8td9bkD/Lt0g2WJAmWBSBovn94FtTzDwlRSxF1NAJZvOYsXcrQv4aw+KdQXt0VB41W3wKZB4CtTU1uB7vBke7ahYwb+hWBETcLaiBjD0/IuTvsUzzJDqis/KwoDFIzLIJHFf2hDtOMZOpd65D2H2jDDKt28ngkL0PesamGaRBg4kAESACRIAIEAHbJSB1/ZEK6La79gTJXOoFLEgSJEIEiAARsCECqk3zoDjE77Yrhxs8UKFFINHlIUS/9W3dzwrT9+P07lUIPfsnu1BnTPs+G0JsE6mWK/3gccvOp9S71iPs3qdFyT1l+aOIuHjLOZ8i7UYWxTyJGkVAd5duUtQ7iBoy3iitxibVVFcD8121zqQuenIXfINkgsciQcsgoLubLrHffEQ/8abZzCWteAJRF3azeGqPZyCf8IHZ4lMgcQmcUPqiC06zIGkDNiJ00FPiBr1FvSg7Eb7f3acV79qs43Bs5WQ2DxRIfAKnT5Si0wd9tQIdfzEF7t21bwgz1UmOZif6/Mav3/NoA2flMVNlab6VELhxo0ZnONpVMcfG3KiR8vtniFDzn7Mldp7wiuOPH7ASHGSTCBABIkAEiAARkIiA1PVHKqBL9MI3l7BSL+DmwpHyIAJEgAiYi4D6wwmQH9/MwiU5349auxaIPve7lgWulXv74t0Iunb7DoFydIaHkm/nZy7vFMdyCFyI80B7uyvMUO7DWxAo48+SFtJp0rvDEXX+Tyap6joGipffEzIEaVkYgQqlN9xwlrkS85xo3bWc8/B36CN70MKIkB2hCJTFB8Cz9jiTE6PtcWNe1R+Mh/zEjRvUuEeiy4OIfus7odIjHYkJXI7rgjZ2V/nPxkd+QGC0dkFbTItnTh5Dx7WBWiHEKKyKmQNpN02gMEONXj/wn1M1tXaonnMcLR1bNT3ZgBEFafvg99MjbMa12hZwjOdvEDFAioZaIYFzp0/CZY2flvNjYxPQ1bu3Qdmk/fUNQve+zObQ35EG4aPBRIAIEAEiQARsnoDU9UcqoNv8EjQNgNQL2DT3NJsIEAEiYHsEElc+hehzO1niaven4ff4HDh9GIN2txREGyNztbYlWsVr71q3PZK2m3F1VRVaLNQ+I/rwyN3w6RMlCpSE1aMRc2Y7v2a7jIT81Q2ixCJR6QlwO56q4t3Q8pbWtAWPb4df6J2imCtX9tLqwpE2YD1CB4nTTUGUBEjUIALnlV3hjMtsTvaD36Cv4mGDNEwZrPp8DhRF7zOJdKco9JvJ70g3RZvmSkvgauVltFrSVcvEkdF70CMgzGzGuK4a1fM7a71/5g/7Bf7hA8zmgQKJTyDt7y0I3fMiC1SBDnBT8kcHCOWg+GAqvDcP1JK7PvuE4IV6ofySjrAEinNT4P3NPVqilTPK4NS6rUGBMv/diuDd/NESp+ACV+URgzRoMBEgAkSACBABImC7BKSuP1IB3XbXniCZS72ABUmCRIgAESACNkQgben9CL2SwDJW+0yE/PnFUH+phLxgpd4k6AKa3qia3cBzp47D5b0ArbxOvJSKLt18RclV8/5YyCp+ZNoa18cge/1zUWKRqPQEzp89BedVPbWMiHku+W1nFkcuQ9Sj/E4p6YmQA6EIVF2/BodFnbXkip76E759o4UK0aROwk9rEJM2j40rbNETveYdaHIeDbB8AhXlR+C2LkTL6KlXsuDq3t2s5nXbyIt5xIpZE6NgjEDCD6sQkxHH/l3Qohf85qUITqj8SD48PtG+OfLCW0Vo79JJ8FgkaHkEsv7bjqA/RjNjxrbwz9XsQuBvTzKdC7Wt0T6+3PISJkdEgAgQASJABIiARRKQuv5IBXSLXBbWY0rqBWw9pMgpESACRMAyCOQtjEZAVR5/ES44DjEjJuPa1UqUL41Aj5rS24yeR1s445LWz8+9WQiXjm6WkRS5MCuB0kNZ6Lapv1bMK9OOonXb9qL40D12IKHDYMRM4o8hECUoiUpGoL71dXnqEbRp5yKKp5xFCvS5ns20NX3nQPbUdFFikai0BOprb31yfBo6e/qYzVjaX98hdO9LLN5JdERn5WGzxadA4hEozkmG97eDtAJIcbNh/oJI+Ffzx+wkhCgRM/wt8RInZbMTUH0yHYoj61nc1NZyhM3gu0sJZai+98yKCRlw8+ghVAjSsWACyds/QmTiFObQ2LPL81P/hf/PQ5jOtVoHOMafsuDMyRoRIAJEgAgQASJgSQSkrj9SAd2SVoMVepF6AVshMrJMBIgAEZCUQFm8PzxrTzAPt57/mrV/B/x3PgvH/7VOPmTvg4qQF9FT8Rjc1gVr+aYzNSV9GSUNfvuFsBZoGVcBO3t7UXypNr4JRelnTDup/b2ImsLvSBclKIlKRiAv5R8EbBvG4ldyR0bEnRBtfel25VD5vgbFc4sky58Ci0egJD8NXl9pt7KunF4KpzbtxAuqo6z7/llVaw/72ArYt2hhNg8USBwCurssL9U6oW38cXGCNaKatvQBhF7RsBEq7wlQjF1qdh8UUDwCmvfGQHZqKwug6TQUsje+EDzglUsX0Pod7Q4KpWPU6Nazj+CxSNDyCKg3L4L84DJmLLtlMPrO+c9go4dzkuDz7b1a82pjz4j2vc5ggzSBCBABIkAEiAARsGgCUtcfqYBu0cvD8s1JvYAtnxA5JAJEgAhYFoFLce5oa1fJTOU8/B36yB5k/y5M34+TGX/AuWdM3c+5ouj1a1fRcnEXrUSKR+2Bd2/znetpWRRt243uWYan4YxOyhLRoOjutDrQ9k6ET+PPRBctMAlLQkB3h+4JdEIXZZFoXpJWPIGoC/wZ1KquY6B4+T3R4pGwdARyk3Yj8NcnmIErtY5oHX/SrIaOHy2E+0cRWjHPTMxFx87aZ2eb1RQFE4RA6u5vEPYvf/xDOdzgoSwURNsQkYTVoxFzhv+M1Lg9AdlrnxoiQWMtnEDqsocQdlnFXKp6vAzFC3yhUyj7NdXVsF+g3a7d3MdeCJUL6RhOQLXhDSjK+COTUtoNRMTUbQYL1ddZyJiz1A0OTBOIABEgAkSACBCBZkFA6vojFdCbxTKSLgmpF7B0mVNkIkAEiID1Eai8cglOSz21jB8ZvQc9ApouhF+Nc0Mru+tsbv6wX+Afrr2Tz/qIkGNjCKT89ikiNJPYVGNbOuobW71pHuSH1rDhaa1jEDrjD32n0zgrI5C49QNEH5jFXBe28EWveamiZaF57znITv3M9DWuj0H2On/BWLTAJGx2Aua+OaO+BLnjUhzfdtd66vDI3fDpo33OsNnhUECTCST+vBbRqbPN9t7VkGHdoldyu7sROZXfrWxyoiQgOQFztum/EtcZre2usZzzhm5FQMTdkjMgA+ITSFg1CjFnd/Dfj9yGQ/baJwYHPlFahC4btf/WpKPADMZIE4gAESACRIAI2CwBqeuPVEC32aUnTOJSL2BhsiAVIkAEiIBtECgvKYDHx5FayZ57PQ8urtoX8+ujcUbZHR1xgT2V9cBmBPUfbBvgKEstAgk/rERMhpK/mOoQgIC5iaJR0m0hmdkqDMGz9ogWj4SlJaD+aj7k+SuYCbFfb9WG16Eo28Ti0REB0r7+YkZP2vYholJmshBF9j7wjU0TM2S92ueUnnDBJX6N3/cFgu8canYfFFBYAuqvF0Ke9w7/PcmxH4Jm/ytsED3UVJ/OgKJ4HRt5oM0dCJ/OF8H0kKAhFk6gQukNN5xlLtMGbETooKdEcX3b9//7v0bQHY+IEotELYuAUMdBnDl5DB3XBmolVzEhA24ePSwrYXJDBIgAESACRIAIWCQBqeuPVEC3yGVhPaakXsDWQ4qcEgEiQASkJ1CQ9h/8fuKL3oacvXpM6Yeu4Fvdpg1Yj9BBT0ufFDkwOwH1l3GQF6xicdOdItFv5l+i+dBsWQ5Z1gKmn9OyL/rM4VuXihaYhCUhoHvmvdi7J1Wfz4Gi6H2+EEEdDiR53c0RVPdmnCzHEATN3meO0FoxiucHwbvmKPtZUtQ7iBoy3uw+KKCwBFQfT4WiZCMTleq4EdWmeVBQ1xZhX1wLUqu6fg32C7vA3q6WuSp84jf06tdfFJflyl7wQAX/GSlisV6UBEjUaAL5C6PgX5XP5icExyFmxGSD9S5dOIu2K7y15pU9nwBPn94Ga9EEIkAEiAARIAJEwPYISF1/pAK67a05QTOWegELmgyJEQEiQASaOYGMPT8i5O+xLMtTcIGr8oheWR+eHwKfGn5scvQKRD7yol5zaVDzInBbgbP9PYicwrfAFjrbxJ/fR3TqHCab38IP/vOShQ5DehZCQPPeGMhO8e2GxT6/V/PdMsiyF7Hs6QYNC1kIItiwlAJn1uI7EXQtg2WoDpgK+eh5ImRMkuYkoFk7DrKT37OQCR0fQcybX5vTQl0s3S4eGa3CETLrH7P7oIDiEKivHfbpV7PRqUs3UQIemd8XPWpKmXaKbBUiHub/lhAlKIlaBIHjyp5wxynmJfXOdQi7b5TB3ribPhwWddaaVzxqD7x7N32EmMHBaAIRIAJEgAgQASLQ7AhIXX+kAnqzW1LmTUjqBWzebCkaESACRMC6CST9sh5RydNZEofte8Anlr+I31h2BxfGoHfVQTYkISQeMcP5c7Ctmwy5N4SA5v2xkFX8yKZoXIdB9jrfAtsQLX3GJm3fiKjEqUatW330aYxlEUh551FEXNrLTKm7j4P8xXdFM6n7vlhk7w3f2HTR4pGwdAQspcCZvHwYIi/yBU2V5xgoxr8nHRiKLAiBpHdHIOr8H/x7l8czkE/4QBBtQ0Q03y6BLOdtNkWqTguGeKax+hMwpZuU/lH4kQULIuBXXch+kBi2GNGPTTRGiuZYEYHamhpcj+8MR7sq5jpv6FYERNxtVBZVcR3hYFfD5orZNcEogzSJCBABIkAEiAARsFgCUtcfqYBusUvDOoxJvYCtgxK5JAJEgAhYBoHbz+fUv31t5tsDEXw1lSWiDpgG+ei5lpEYuTArgaR3hyPq/J8sptjFnwO7vkT4fv5i7VG7rugel2vWnCmY+QhkLb4LQdf4Ara693TIR/EdCIR2kvbXNwjd+zKTLYcbPJR8sUDoeKQnHQHd9y61VAVO3Z3KHQYjZtJm6cBQZEEI6J4XrPaZCPnziwXRNkQk4ft3EZMZz6bkOvRB4Fy1IRI01oIJZP67FcG7xzCHZ+CMjsoS0RznLFKgz/Vspq/pOxeyp6aJFo+ELYPAudMn4bLGT8vMsbEJ6OptXNv1y3Fd0MbuKv++NORHBEbdaxnJkgsiQASIABEgAkTAoglIXX+kArpFLw/LNyf1ArZ8QuSQCBABImA5BFQbJ0FR+ikzlNJuACKm/qKXwQPLHkb45f1srMrnFSieX6LXXBrUvAikLbkPoZWJ/Fro+QYUY/gzyoXONv3v79FvzzgmexyucFceEjoM6VkIgaL5/eBbU8zcJEUsRdTQCaK5y9HsRJ/fnmL6F2pbo318uWjxSFg6Are9d/m+BsVzfPt+czlTffQWFEc/YeGS292NyKn8sQXm8kFxhCWQu1COwKocJipVoTHhp/cQk8bf4EjHngj7OkutlvLbp4jQ8B2gSuw84RXHrzuh/WW8fQ9CrqYwWbX/FMifiRU6DOlZGIHig6nw3jxQy1XljDI4tW5rlNMzyu7oiAtsbtb9XyPojkeM0qJJRIAIEAEiQASIgG0RkLr+SAV021pvgmcr9QIWPCESJAJEgAg0YwK3nS3s+hhkr3+uV8bm3nWslykaJAmB24oEQfMge5JvsS60qcz/fkHwH88y2dNwRicRd1sJ7Z/0DCNQofSGG86ySel3f4J+dw83TMSA0UVZGvhueUBrRvXcU2jh4GCACg21BgK3HUUSHIeYEZPNbl316QwoitexuAfa3IHw6TvM7oMCCkugeH4QvGuOMtHk6BWIfORFYYPooXb7sRQ+8I1N02MmDbEGApotKyDLms+sHnQIRO+5GtGs0w20oqG1aOGs/7Yj6I/RzON5tIGz8pjRnk8ofdEFp8323c5oozSRCBABIkAEiAARsDgCUtcfqYBucUvCugxJvYCtixa5JQJEgAhISyDlnSGIuPQvM2HI2cKaNf8H2eltbK7GbThkr/E76KTNjKKbk0Dx/GB41/DtQpNj3kXkYH6HuNBechP/ROB2voB6sbY12tEOYaExW4TejTM33eBoV8385A/7Bf7hA0TzV34kHx6fRGnpn3uzEC4d3USLScLSECiJ7wOv2jIWPEW+GhEPPW92M6pN86A4tIbFTWsdg9AZ/NnZZjdEAQUhcErZA644x7QyBn2GkAGPC6JtiIjuDuVi++7wjs0yRILGWjAB1edzoCh6n3//cIpG6Ez+WB2hrSeteAJRF3YzWVW356F4abXQYUjPwggkb/8IkYlTmCtTOx0cje+N7rV8d58D/dci/AH+5lgLS5/sEAEiQASIABEgAhZEQOr6IxXQLWgxWKMVqRewNTIjz0SACBABqQhkL7oDfa9nsvDq3jMgHzVbLzvqDydAfpw/ozWBzmzVi1tzHKS7Qzjjnk8RMvAJ0VItSNsHv5/4No/Xah3gGH9KtHgkLB2BC+dOo/1KXy0DZc8nwNPHuDM39cmkvpimnPOpT0waIw0B3Raymfd/ieA7HjW7GfVX8yHPX8HiZrQKR8isf8zugwIKR0CKm38acp/6x9cI++8V9nSpnTu6xeUJlywpSUpAve5VyMu/Yh6SnO9D1OQfRPOUsHo0Ys5s5/926DIS8lc3iBaPhC2DgHrzIsgPLmNmslsGo++c/4w2d3h+CHxqjrD5UnXoMDoBmkgEiAARIAJEgAhIRkDq+iMV0CV76ZtHYKkXcPOgSFkQASJABMxDQHfncFLUO4gaMl6v4KqPp0BR8hEbm9JuICKm8jvS9RKhQc2CQGWcG5zsrrNc8oZuRUDE3aLlVpyTDO9vB2np18w7DfsWLUSLScLSECgryoXn5zKt4JemFKNt+w6iGaqprgbmu8LerpbFODRiF3oGa/sQzQAJm4UA9zrXzndFi1te58LhO9ErRG6W+LcG0Xy7BLKct9mPshxDEDR7n9l9UEDhCFy+eA5tlvfQEiwdsx/degYJF0RPpbS/tyB0D986/jhc4a48pOdsGmbpBBJWP4OYM78ym5rOIyCb+LFotjVrx0F28ns+XqehkL3xhWjxSNgyCKg2vglF6WfMTEq7AYiY+ovR5goWRMCvupDNTwxbhOjHXjNajyYSASJABIgAESACtkNA6vojFdBtZ62JkqnUC1iUpEiUCBABItBMCZxReqEjzrPsMgZtQsiAYXplq/4iFvJCvmVjmsgtI/UyRYPMTqDyyiU4LfXUilvy7D54+YWI5qX0UBa6beqvpV85vRRObdqJFpOEpSGQl7IHAduGsuBct4GWcSdhZ28vqqHzyq5wxmUWI/uhb9FX/pCoMUncvATOnamAy+peWkHLxyXDw8vPvEYAJHz/LmIy41ncXIc+CJyrNrsPCigcgfKSAnh8HKkleO6NArh06ixcED2VMv/diuDdY9joU3CBq5Lf+amnDA2zUAK6xzGpvF6EYhzf0UJo26r1r0NxbBOTTXK+H1GT+YK60PFIzzIIJKwahZizO5gZU4/uyl2kQOD1bF4vaB5kT061jGTJBREgAkSACBABImDRBKSuP1IB3aKXh+Wbk3oBWz4hckgEiAARsAwC1VVVsFvgprXL0pDdd5pvl0KWs5glY2orP8ugQi4MJVBRfgRu67SL5adfzUanLt0MldJ7/InSInTZGKY1ns6o1hufVQ1M//t79Nszjnk+gU7ooiwSPYdypR88cJLFSb1rPcLufVr0uBTAfARKD+Wg2ybt3eaXpx5Bm3Yu5jPxv0iJP7+P6NQ5LG5+Cz/4z0s2uw8KKByBQ5ka9Pz+ASZYU2sHxJ6SpFNKtvp39P19JPNyDm3hoiwTLllSkpRA1uK7EHQtnXlQB0yDfPRc0TypPpkGxRG+ZXtK27sQMY3fAS9aYBKWlEDa0gcQekXDPKi8J0AxdqnRnjLfHojgq6lmW7dGG6WJRIAIEAEiQASIgMURkLr+SAV0i1sS1mVI6gVsXbTILREgAkRAOgJnTh5Dx7WBWgZOvJSKLt20zxtuyGHiz2sRncqfl17Qohf85qVIlxBFloRA8cFUeG8eqBX7+uwTaOnYSjQ/ZyvK0eF97TOwKyZkwM1Du12uaAZI2GwEkrZ9iKiUmSxekb0PfGPTRI9fND8UvjWHWZykiKWIGjpB9LgUwHwE8g/shf9W/rxzc3U3qC/DpF83ICppmtnXuflo216krP07ELRrFEv8PNrCWaKi9cGkv9D718eZl8u1rdAm/oTtvSjNNOPCBWHoVc3fWJYY/jaih70qWra6HajSnaLRb+afosUjYcsgkL8wCv5V+cxMQnAcYkZMNtpc2tL7EXolgc1X9XwDijELjNajiUSACBABIkAEiIDtEJC6/kgFdNtZa6JkKvUCFiUpEiUCRIAINEMCxbkp8P7mHq3Mrs48hlZObfTK9sDOzxGueoONLbHzhFdcjl5zaVDzIZCb+CcCtw9nCZnjwvylC2fRdoW3FsRjYxPQ1Vu7qN58KNtuJuqvF0Cet5wByHIMRdDsvaIDyVnUH32uZ7E4mj6zIRs5Q/S4FMB8BDL2/IiQv8eygBXoADdlsfkM3BIp5ffPEKF+k/3kiH039IjlW9tKYoqCmkQgZecXiFDx5/mW2rmjW1yeSZrGTi5I2we/nx5h06/VtoBj/Glj5WiehREoV/aCByqYK7E7pmi+XQJZztssXrZjCPrO3mdhVMiO0ARuW2d3fIiw+0cbHea2owd6jIfihXeM1qOJRIAIEAEiQASIgO0QkLr+SAV021lromQq9QIWJSkSJQJEgAg0QwK6LT0v1LZG+/hyvTPVLT6cREd0VvI7NvUWooFWTSDt7y0I3fMiy8EcLbarrl+DwyLtc2SPjN6DHgHabd2tGiyZryOg+ugtKI5+wmiktBuIiKnbRKej26pU7TMR8uf5IytEN0ABRCeQtH0johL581YP23vBJzZT9Lj1BUj9czPC9vEdDsrs3OEpUbFVEgDNMGjij6sRnR7LMpOyLX9RdiJ8v7tPi3Jt7BnY2ds3Q/K2l9LluC5oY3eVJZ47+HsExtwvGoiEn9YgJm0ev7Yd/OE/N0m0eCQsPYHamhpcj+8MR7sqZiZv6FYERNxttLmkd4cj6jzfuUDl+RwU49cYrUcTiQARIAJEgAgQAdshIHX9kQrotrPWRMlU6gUsSlIkSgSIABFohgR0d5AbujsqN+EPBO4YwchcrG2NdgYU4JshUptMSbf18GH7HvCJzRCdRXVcB7Swq2VxCofvRK8Q7fOMRTdBAUQnoHnvOchO/cziaFwfg+z1z0WPe9uF3a7PQvHyWtHjUgDzEdB8uxSyHP6miJyWQegzZ7/5DNwSKf2fH9DvnxfYT8xxI5IkidpQUPWXcZAXrGIZZ7QKR8isfyQhUJKfBq+vBmjFFvuoFUkStcGgEeJGYAAAIABJREFU165WwvFtd63Mi0ftgXdv8W4oTN7+ESITp7CYUt58ZIMvuSQpnzt9Ei5r/LRim9r5KWHVKMSc3cE01e5PQ/7Keknyo6BEgAgQASJABIiAdRGQuv5IBXTrWi8W51bqBWxxQMgQESACRMBCCWi2LIcsiz9r7qBDb/Sey59F15TtQ5ka9Pz+ATasutYO9nGnaUdTU+Ca2fNSFaF0d1yZuhOmmb0szSadlOVDEXFxD8tH1f0FKF5cKXp+mvfHQlbxI4ujcR0G2eubRI9LAcxHQPXpDCiK17GAB9r0R/j038xn4JZImfu2IfjP/2M/OQ1ndFKWSOKFggpDQLXxTShKP2Niye3uRuTUrcKIG6hSdvggPD+L0Zp1eeoRtGnnYqASDbc0AhXlJXBbF6xl69QrWXB17y6a1ds7ZnSBZxx/NrZogUlYMgLFB1PhvXmgVvzKGWVwat3WaE+3f88yzw2SRhumiUSACBABIkAEiIDFEJC6/kgFdItZCtZpROoFbJ3UyDURIAJEwPwEVJ/NhOLwhyxwams5wmbs1NtI6aEcdNukveO3cnopnNq001uDBlo/AfVnsyE/zO/MNXQdGUvgrLIbOuAim5794Dfoq3jYWDmaZ6EEshYPQNC1NOZOHTAV8tF861ixbKs2vAFFGb/TPbn9IERO+UmscKQrAQH1hy9DfvwbFjmxw8OInsT/25yWcjQ70ee3p1jI82gDZ+Uxc1qgWAITuL17hnQ34ZwoLUKXjdo7ks+9UQCXTtpHoQiMgOTMQKA4NwXe39yjFUns7gKZ/25F8O4xLOYpuMBVecQM2VIIqQhk7d+BoF2jWHhDj/2qz7fuZ3BCh8GImbRZqhQpLhEgAkSACBABImBFBKSuP1IB3YoWiyValXoBWyIT8kQEiAARsEQC6g9egvzEd8yaocWDU8ePwvXDIK3UTr+ajU5dulliuuRJJALqda9CXv4Vv45cHkD0W1tEisbLnlT6oDPOsB9kDPoMIQMeFz0uBTAvgaL5ofCtOcyCJkUsQdTQV0Q3odo0D4pD/FmcaU7RCJ3Jn9UpugEKIDqBxJUjEX3udxZH7T4K8lf4HemiG7glQF7KPwjYNoz95EqtI1rHnzSnBYolMIHkFY8h8sLfTFXK831PnyhFpw/6amVYMSETbh5eAmdNcuYmkKvZhcDfnmRhL9U6oW38cVFt5Cb+icDtw80aU9SESLxJAsk7PkZkwmQ2rsTOE15xOU3Oa2yA7o2KSe3vRdQUvvOPSeI0mQgQASJABIgAEWjWBKSuP1IBvVkvL/GTk3oBi58hRSACRIAINA8Cumf8qj2egXzCB3ond/niObRZ3kNrfNlzGnj6BuqtQQOtn0DC6mcQc+ZXloim8wjIJn4semJl8QHwrOUvEqfeuQ5h9/G7Y0Q3QAHMQuCE0hddcJrFShv4EULv4YsFYpnQfPcOZNkLmXxuy74InKMSKxzpSkAgddlDCLvMv6Yqn1egeH6JBE6AwvT96PUj30GjqtYeDvH8DUKSmKKgJhFIXzII/SqTmYa615uQ/998kzSNnXz+7Ck4r+qpNf34iylw797LWEmaZyEEUnd/g7B/X2ZuytEZHsoCUd0VZqjR64cHWQw6wklU3BYhrt68CPKDy5iX7JbB6DvnP5O8qT6ZDsUR/szzA23vRPi07SZp0mQiQASIABEgAkTANghIXX+kArptrDPRspR6AYuWGAkTASJABJoZAVMv7tZUVwPzXWFvV8vIFD25C75BsmZGitJpjEDK8kcRcXEvG6LuPg7yF98VHVrx/CB41xxlcZJjViFy8FjR41IA8xGoranB9fjOcLSrYkHzhm5DQIT2OZxiOEr6dQOikqYx6cP2PeATmyFGKNKUiEDOIgX6XM9m0TV950D21HRJ3BTnJMP720FasavnnkILBwdJ/FBQ0wnkLYxGQFUeE0oIUSJm+FumCxuhUHn5IpyWaXcHKh2jRreefYxQoymWRCDx57WITp3NLBW28EWveamiWiwpyIDXl3dqxbg68xhaObURNS6JS0dAtfFNKEo/YwZS2g1AxNRfTDKk3jQPcur0YxJDmkwEiAARIAJEwFYJSF1/pAK6ra48gfKWegELlAbJEAEiQASaPYGCBRHwqy7kL+6GLkDM428YlPelOHe0tatkc3If+QGB0fcZpEGDrZtAxtt3I+TqAZaE2n8K5M/Eip5U4YJw9Ko+xOKYq7W36IlRAEbg0oWzaLvCW4uIubpcpP31HUL3vsRin0AndFEW0avTjAgUzw+Gd00Jyyg5egUiH3lRkgyPFmSi+5d3aMWunFEGp9ZtJfFDQU0ncDS+N7rXljOhA4o1CH/wOdOFjVCoun4NDou0zzsvHrUH3r21z0U3QpqmSExA/fUCyPOWMxdZjqEIms3f1CiGvROlReiyUXvtnHujAC6dtNeYGLFJUxoCCatHI+YMvztc4/YEZK99apIZ3V3t5li7JhmmyUSACBABIkAEiIDFEJC6/kgFdItZCtZpROoFbJ3UyDURIAJEwPwEjit7wh2nWODUu9Yj7N6nDTJSofSGG86yOXQOtUH4msXg/AWR8K/m24UmGHEjhjEgDi6UoXdVLpsq5e4+Y/zTnKYJlB0+CM/PYrQGXnirCO1dOjU92cQRUpwra6Jlmm4gAUv6/Co/kg+PT6K0Mrg4+TDaOXc0MCsabikEziq7oQMuMjuZ93+J4DselcQe182jNr6TVsegQyN2oWcwdQyS5AURMKjq4ylQlHzEFFPaDkDENNN2Bjdl79zpk3BZ46c17MRLqejSzbepqfS8lRJIXfogwq6omXuV9wQoxi41KRvNlhWQZfHHWtBROSbhpMlEgAgQASJABGyKgNT1Ryqg29RyEz5ZqRew8BmRIhEgAkSg+RHgLqZeje8CJ7vrLLmDQ35C7yjtFrJNZX40PhDda4/xF+4U7yPiwf9raho934wI6O6ySzHTGshafCeCrvEttTV9ZkE2cmYzIkup5Kf+C/+fhzAQ12pboGVcBezs7UWHU5SdCN/vtLtpUEtt0bGbLcCN4wHc4GhXzWLmP/Yr/MPuMpuHWwNVlB+B27oQrdhnXzuIDm4ekvihoKYR4I64qZ3viha3HHFT+MRv6NWvv2nCJsy+GueGVrd855NyvZuQBk3VIaB5/wXIKn5gP03oOAQxb34lKqerlZfRaklXrRglz+6Dl5/2e5ioJkjcrATyF0bBvyqfX2fBcYgZMdkkD7rHDxS06AW/eSkmadJkIkAEiAARIAJEwDYISF1/pAK6bawz0bKUegGLlhgJEwEiQASaEYH6WiOXjtmPbj2DDMqS2mgbhKtZDtbdZZd1/9cIuuMR0XNNX3Iv+lUmsThqv7cgf1YpelwKYD4C6f/8gH7/vMACVqAD3JTFZjFw/Ggh3D+K0IpFLWrNgt4sQaQ8HqC+BM+dOg6X9wK0nqoYnw43T+0jDMwCh4KYTODcmQq4rO6lpVP+QhI8evibrG2swMU4D7Szu8Km05E7xpK0rHlJ7w5H1Pk/mSlV12eheHmtqCa5G5Bq4jtp3yAyfCd6hchFjUvi0hEoV/aCByqYgdQ7PkTY/aNNMpS842NEJvBF+MP2XvCJzTRJkyYTASJABIgAESACtkFA6vojFdBtY52JlqXUC1i0xEiYCBABItCMCAjVGjlnUX/0uZ7FyGj6zoXsqWnNiBSl0hiBei+immmX3YFlDyP88n5mT+0zEfLnF9ML1owIJG1bh6iUGSyjIntv+MammyXDi+fPoN27Plqxyp5PgKdPb7PEpyDiEqivZfr5SYfg3MFV3MANqNdX0D82NgFdvWm9SfKCmBi0rCgXnp9rt0eXuiX/bTe7PbAZQf0Hm5gpTZeaQNqS+xBamchsqHq+AcWYBaLbuhTnjrZ2lSwO3ZAhOnLJAtzo2NIZjnZVzIMxXct0E0j942uE/fcK+3GpnTu6xeVJlicFJgJEgAgQASJABKyHgNT1RyqgW89asUinUi9gi4RCpogAESACFkYgL2UPArYNZa6MbY18+y7gSZA/G29h2ZIdsQhIWWRMXj4MkRf/Yampu4+D/MV3xUqVdCUgoN68CPKDy1jkLMd+CJr9r1mc0A47s2CWLEhh+n70+vFhFr+q1h4t4k6Z5XiA+pK+drUSjm+7az1FLZElWx4mB9Y9fuJ6bQs4mOn4iYbMVyi94Yaz7OmMQZ8hZMDjJudKAtISOLgwBr2rDjITCQK01tYno1PKHnDFOTY0895NCL5rmD5TaYyVEaivo4YQNxTqdhk6gU7ooiyyMjpklwgQASJABIgAEZCCgNT1RyqgS/GqN6OYUi/gZoSSUiECRIAIiEYg7a/vELr3JaZv7EWLlHceRcSlvUxH5fUSFOOWi+abhC2LgJS7OBNXPonoc7sYELXHM5BP+MCyAJEbkwioP5oM+dGPmUZK2wGImPaLSZqGTD6v9IQzLrEp2Q9+g74KvuhqiBaNtSwCmfu2IfjP/2OmzsAZHZUlkpnkbtiwm99RK/7hkbvh0ydKMk8U2HgCGXu3IuSvMUzgNJzRScL1xRkpV/rBAyeZp7QBGxE66Cnjk6SZFkGgJL4PvGrL+M9J2SpEPDxWdG9l8f7wrD3B4qTeuQ5h940SPS4FMD+Bkvw0eH01QCtw5fRSOLVpZ5KZrP07ELSLXzNn0Q4dlKUmadJkIkAEiAARIAJEwDYISF1/pAK6bawz0bKUegGLlhgJEwEiQASaEYHEn9ciOnU2y6iwhS96zUs1OMPElSMRfe53Nk/tPgryV9YZrEMTrJPAoUwNen7/ADNfU2sHxJ6CfYsWoieUsOZZxJzmi6nqzk9CPvEj0eNSAPMR0Lw/FrKKH1lAjeswyF7fZDYDx5R+6HpLwYkKBGZDL3qglN8+RYRmEotTYucJr7gc0eM2FuBaXCc42lWzIQWP74Bf6B2SeqLgxhFI3vEpIhMsa30dje+N7rXlLKED/dci/IFnjUuQZlkMgTPK7uiIC8xP5n1fIPhOvsOUWEYPzw+GTw1/01Fy9ApEPvKiWOFIV0ICul3Lrta2RKt4/jx0Y60dTPoLvX/lu2Bcrm2FNvH8TRnG6tI8IkAEiAARIAJEoPkTkLr+SAX05r/GRM1Q6gUsanIkTgSIABFoJgTUXyohL1jJX3BrFYbgWXsMzk7qApfBhmmCoASyVb+h786nmeZ5tIWzkt8JJWgwHTHN2nGQnfye/VTTaShkb3whZkjSNjMB3Tb9qm7PQ/HSarO5ODQ/FD1rDrN4ieFvI3rYq2aLT4HEI6DZsgKyrPkswEGHQPSeqxEvoB7Kl+O6oI3dVd7TkJ/QO2qQHjNpiKUR0GxZDlkWfw61Jayv4vnB8L614BnzLiIHj7M0dOTHAAI11dWone+KFna1bFbhE7+hV7/+BqgYNzR/YRT8q/LZ5ITQBYh5/A3jxGiWRRPI/HcrgncL31GjMEONXj88yHKvrrWDfdxpyY5SsegXgcwRASJABIgAESACWgSkrj9SAZ0WpEkEpF7AJpmnyUSACBABGyGgWv86FMf4nZzJ7QchcspPBmevq5PkfB+iJv9gsA5NsE4CB3Z9ifD9E5n5Mjt3eP4/e+cBHUX1/fFvQgidUBI6hJCQQnrdXUVQVFBAFJEm/ESQJiggVWo29CJSFEVEsSCKiAiCKCIIKrubXkkhAUINkAChhpDyPxP+vGFTYLM7OzO73DnHcyT73r3f+5m3s7N7590bniFKMNr146DM+Y75inJ4AaHvbRXFNzkRh0Dykq7wucNXxtB2nALlkHniOAdwdNGT6HQ3mfnTeb4PxaCZovknR+YjoPl6NlQnPmYOEuqEwX/Gn+ZzaIDlfHUrODzYMuCFreikfMGAmTREbgQqrK/aofB/f7+kMrMWBMC1mO8vHB20FCF93pZUEzk3jcC1q3louLqDnpHzwyPR0tnDNMMGzD66uDM6FSbxn49eM6EY+L4BM2mIpRGI++NrBGr4hyPO2LREm/A0k8M4lRGPdlu66tm5O+siatrXMtk2GSACRIAIEAEiQASsm4DU+UdKoFv3+jJ7dFIvYLMHSA6IABEgAlZAIHLN6wi7sof/4cvpNSjG872GDQ1Rs2kGVNl8yfa4uk8gcPpeQ6fTOAsnEPXLxwiNn82iyKzhCre5saJEpdn4HlRnvmS+Yho8g+Apv4jim5yIQ6B8wicqYDFCX+Ef2DC3ivhlPRBwW8vcaNq/DdWbS83tluyLQKD8AzjRDZ9HyGS+ooUIEiq4yFO3Q1Pks78nP/sNfJ56WQop5NNEAprPxkN1fjOzIoeHCzMWhsK9iH/AjXYMm3iSZTD93Ik0tPpaoafkxuSTqN+wsdnVJS59Dn4FUcyP1nUilP/jq3qYXQA5EI1A5I6PEJYwR/B7/fPZ6Wi5KUwvjptTslGvQSPRYiNHRIAIEAEiQASIgGUSkDr/SAl0y1w3slEt9QKWDQgSQgSIABGQMYG45S8i8NYRplDTbgxUI5ZXW7F2ywIoMz5g85JqBcJ35t/VtkMTLJOAdstCKDNWMPHJRrYCMCZ6enjDGGqWNeei2gXNcJmJTujyOfy7DRAtiOgPX0PINX5XsrbFECjHfiKaf3JkPgLlHyLTOvWHcvxG8zk0wPIFdQc0Rx6/3rtuhP8z/Q2YSUPkRiByzRCEXdnNZOkc+0HxDv/AlxR60xap4Hn3KK/Jey4U/adKIYV8CkQgM+FfuO3oxazdLa0Bu/BcUUpgx67ojaCb/zzwPWI0VCP4+0GBQiQzMiBQ/l4/xd4f3rMOm6wsN+c0HNf76Nm5Mj4NjZ1ammybDBABIkAEiAARIALWTUDq/CMl0K17fZk9OqkXsNkDJAdEgAgQASsgkLZQCc+iVP6H1E6zoRgwvdqRRW5fhbAkNZsnhz6f1Q6CJhhNQPPFVKhOf87mx9Z7CkHT+KSB0YYNmKjdHA5l5mo2MrF2KPwkLpFrgGwaYiCB0pIS3Ilohto2d9mMjD474R70tIEWTB+m+3g4FLk/89fJJn2gmPCt6YbJguQE4lb0QuDNf5kOTTvpkz9nI9zRuvQC0xT3xDoEdh8qOSsSUH0CsSteQtBNPsGkbfMWlCM/rL4hAWekLH4K3oWJzKLWYwaUg2cJ6IFMiU0g6fBO+B7ge1PnwQFN1adEkVH+ATNNy6FQjVknim9yIi4Bcz2wWlkLggsjY9G8jau4AZI3IkAEiAARIAJEwOIISJ1/pAS6xS0ZeQmWegHLiwapIQJEgAjIk8DpCC+0LT3HxMUqViPoxeHVFhu9ewNCoqexeSdsneEyj/+BttoGaYJFEdB+MgrKiz8yzZGNeiJs0veixKD7YQkUaXw57RR7P3jP4ndDiSKCnJiNwK0b+aj7QTs9+2ffOILWHbzN5rO8Yc3nE6E6+xX7M7UJEA292R1V6N8rg/722fO94Vxyhl9vYasR3LP6n8tmh0cOHkkgeUlX+NyJZ+O0HadAOWTeI+eZc0Di0m7wK4h5QNNkKIeEm9Ml2TYzgZjfvkBw5GTm5ZRta7Sbx1cZMKd73dr/QXF5F3OhM7IVlDk1km1hCGg/HQvlBf7ePsqhB0Lf4+/9jfVyp+AWai3V321+Zuh/aOOmvyvdWPs0jwgQASJABIgAEbBeAlLnHymBbr1rS5TIpF7AogRJTogAESACFk7gmroVGuImiyLl+S3wfpIvA2loePH7v0fAv2PZ8HM2zdAq/Jih02mchROIWjUQofm/syi0zQdD+fZ6UaKK/OlDhCVHMF9pdl7wnMP3qxZFBDkxG4GcU8fQ4ssQPfvXJh1Hw0ZNzeazvGHtN3OhPL6W/ZmqHIiG3uyOTsz3g0tJNvMTHbwcIS+NMbvfhzk4Pt8fHUpO8pqCliGkD//5Kqk4cl4tAlkLAuFafJzNiQpYhNBX3qmWDaEHxy/rgYDb/GekxuUdqIYtEtoN2RORgG7bB1CkLJDkPkj7yWgoL25lviMb90LYxC0iRk+uxCIQuXYowi7/ytwJ1ZKCqzRkM7+xXhgnBuyHS6dQsUIjP0SACBABIkAEiICFEpA6/0gJdAtdOHKRLfUClgsH0kEEiAARkCuBu4V3UHNxMz15Jwf+hfZe+skqQ/Qn//crfP7kS8xeQUM0Vp82ZCqNsQICcctfROCtIywSjfNYqIYvEyWyqJ2fIDRuJvOVWcMVbnNjRfFNTsxPQMrervejkzI5YX7Cj7eHi2oXNMNlBiGx6xfwe+Y1SaEcWxiCjkX8A2iR/gsR1vddSTWRc+MInFe7oSUuscnxT36KgOdfN86YQLMqti0YA9WI5QJZJzNSENB8PQuqE3zZ9IQ6CvjP2CeKlPIVWqIbPIuQKXzLE1FEkBNRCMR88DKCb/zN3+u3Hg7VKL6Fkiki7oQ7otYDrXqOvfwrOgZ2McUkzSUCRIAIEAEiQAQeAwJS5x8pgf4YLDJzhij1AjZnbGSbCBABImANBHJzTsFxva9eKHlvp6Bp8zbVDi8j9hDcd/Vh8wpKa6J2RG617dAEyyQgZRnk8qVLs23bwnlesmWCJNUVCCQd+hm+B/ny1bloBEc1v2NYDGTRez5HSNRU5orWmBjUxfFREO6I2g/8aJ/RZyfcg54Wx3kVXtIWqeB5ly+/rPOeB0X/KZJqIufGEbgR3gL1bW6zyakv/ggvRQ/jjAk0K2blKwi+fpBZ0wiYBBNIIpmpJgHt+nFQ5nzHZkU3fB4hk3+qphXjhmu+eh+qk5+yyXF1n0Dg9L3GGaNZsiaQuPQ5+BVEMY3aDhOgfIOvfGCK+GvqlmiIW7K6VpoSD80lAkSACBABIkAExCEgdf6REujinGer9SL1ArZasBQYESACREAgAidSdHDZ1l3PWtHsS7CraV9tD9lpsXD+4RlBbFXbOU2QnMCJ+f5wkajkcPyfWxDw39uMwVmb5mgdniE5ExIgDIHo3RsQEj2NGTtp2xbtRX5AIuHgNvgfGsk0XEQTNFOfECZAsiIZgYJbN1B7eWs9/3Lou5qy+Cl4FyYyXToZ9GWX7CRZsOOiu4WwW+SkF4GxVX6ExBC1qj9C8/ndyZqWQ6Eaw+9eFtIX2RKHQOTqwQi7+htzpnXqD+X4jaI41343H8pjK5mvpFpB8J3JP6AhighyIgqBtIVKeBal8p9N3nOh6M8/XGiKiFy1MxxxlV9H3b6Bb5eXTTFJc4kAESACRIAIEIHHgIDU+UdKoD8Gi8ycIUq9gM0ZG9kmAkSACFgDgfJl16+iPhqpzxoVWs7pTLT4Ilhvrth9io0STpMEIZCjdkUL8BUHErp8Bv9ugwSx/SgjiX9vh9/fI9gwSm4+iphlva79fjGU6Xw7gKP2vug0619Rg0iL/BOev/FlvW+V1kLdiIuiaiBnwhO4ePYEmn0eoGc4/90MODRtLryzalhMXNoNfgUxbIa242Qoh4RXwwINlQOBK5fOo/E6Tz0pl0YnwKlVe0nlRa55HWFX9vDrq9lAKMdtkFQTOTeNQMWy/KOhGrHCNKMGzi7f4iS1Zid4zdYYOJuGWRKBk/N90b7kFJMcHbICIb1HCxJC+XYXYn6PECQAMkIEiAARIAJEgAhIQkDq/CMl0CU57dbjVOoFbD0kKRIiQASIgHkIlC99fcq2NdrN48vGVsdr/uVLcFjrJrsfiqsTA401nkD5MrVpL26Dp0K/uoHx1h8+M+XIb/DeN5gNuoIGaKw+Yy53ZFdkApovpkJ1+nPmNbbeUwiatltUFdmpMXDe2k3Pp7HVOkQVTs4eSqB8FZaSUhuUzs1FDTs7ScnFL+uBgNtapkHj8g5UwxZJqomcV5/A6WMJaPudfg/fgulnUbtu/eobE3CG7qNhUOT9wizqHF+F4p1NAnogU2ITSFncGd6FScyt1mM6lINniyIjaucnCI2byXxl1nCF29xYUXyTE3EJXFB3QHPkMacJXT6Hf7cBgog4Nb8T2pXwD3HHKtcg6IU3BbFNRogAESACRIAIEAHrJSB1/pES6Na7tkSJTOoFLEqQ5IQIEAEiYMEEdFuXQpG6hEVgyq6RwjsFsF+iv2vv9JDDaNvR34IJkXRDCFRWpjZ74AE4e+lXJDDEljFj0qMPwGN3XzaVdgcbQ1G+c3QfD4ci92cmMLLJSwibsFlUwXLdqSwqBCt0Vv7hm3zUg4P6nOSRxq7ojaCb/zAdmnZjoBqxXHJdJKB6BMp/NhWU1kTtCL5SS/WsCTdau24klJe28dfUxr0RNpHvny2cJ7IkFoGKbXSWIqQP39rGnDpif/8KQdqJzIUpD+OaUyfZNp3A9fAWaGBzm//e+OKP8FL0MN0wgKwFAXAt5lvjRActQ0ifsYLYJiNEgAgQASJABIiA9RKQOv9ICXTrXVuiRCb1AhYlSHJCBIgAEbBgApovp0F1ii/bGVf3SQRO53soVje0wvAmsLcpZtMy++6Bm3/n6pqh8RZG4GpuDhp97KGnWswytVmJR+D684vMf1GpLewirlgYRZJbFYGYlX0RfP0Ae1nTahhUo9eKCuzm9auot9JZz+e5YTq0ctEvzyyqKHJmMoHYP75FkOYdZueMTQu0CU832a6pBiqs+dbDoRq12lSzNF9kAokHf4LfobeY10toDCf1SZFVVHSnXT8Oyhw+YR7l8AJC39squS4SYDwBc+4MfpSqhIPb4H9oJBuWA0e0UGc9ahq9bmEESoqLgflNYWtTypSf6L8PLt4KQSJJXxgGjyL+8zfSNwJh/SYJYpuMEAEiQASIABEgAtZLQOr8IyXQrXdtiRKZ1AtYlCDJCREgAkTAggkIvbMzX90KDrjJiBzt8QM6qfjEpgWjIukPIXD2eApaf/OE3ojb086gTr0GonDLTo+H8/dd9XxReW1R0IviJGnJ0/C9E8d8ad3eg3KoWhTf952UlpSgOKIp7GxKmN+sV/fC1U9/3YsqipyZTCBy+2qEJfG9xTPs3OE+J8pku6YaiFo1AKH5f/BrvsUQKMd+YqrSaYzeAAAgAElEQVRZmi8ygehfP0NIzHTm9aRtO7Sfx5fZFlkOc6f5fCJUZ79i/45u8CxCpvBVPqTSRX6NJ3ArvBnq2txhBtJ6/wzPkGeNN1iNmdRGpxqwLHjo9fzLaLDKRS+C88Mj0dJZ/wFaY0M8urgzOj3QhkDnNROKge8ba47mEQEiQASIABEgAo8JAanzj5RAf0wWmrnClHoBmysusksEiAARsBYCMR+8jOAbf/M/qpq4szNH7YoW4MuTCtkbz1qYW2Mcx+IOo+POl1hohaV2qBl+CTa2tqKEe+5EGlp9rb8D5tbUU6hb30EU/+TEvASyFgTCtfg4cxIVsAihr/C7hs3rnbde/gGhlO7fw/uJnmK5Jz9mIKD9dh6UWWuY5cTaIfB7/y8zeKqeycg1QxB2ZTebpG02AMpxn1fPCI2WnEDFNjne8Jp9RHJdmi+mQnWaX0+x9bogaNqvkusiAcYRKLh9E7WXtdKbfOr1Q2jnHmCcwWrOyoj9G+67Xmazbpfao07EpWpaoeFyJ5BzOhMtvtBvzZQ/MQsOjR0FkZ64tBv8CmL4zz0JHpYUJBAyQgSIABEgAkSACIhKQOr8IyXQRT3d1udM6gVsfUQpIiJABIiAsASSl3SFz514/seKjlOgHDLPaCfZ833gXHKazY8J+xDBPfnypUYbpomyJpB0eCd8D7zBNObBAU3Vp0TTnHsuG44b/PT85b+bAYemzUXTQI7MR6Digzmfwb/bIPM5rMLyuYiOaFV6kb0a98Q6BHYfKroOcigcAc2Gd6E69w0zKJeduLqPhkGR9wvTpWv6ChTvfi1c4GRJFAKaTTOgyl7PfMXXVSFg+u+i+H6YE+1Xs6A8uU52uiQHY6ECKrsHujzuKJo0ay1KRCeORsHlx+f0fJXMvQzbGjVE8U9OxCFwMjUa7bfqVzUonpOHGnZ2ggiIW/4iAm/xDxhp2r8N1ZtLBbFNRogAESACRIAIEAHrJSB1/pES6Na7tkSJTOoFLEqQ5IQIEAEiYMEETsz3h0sJ348zOmgpQvq8bXREGQtD4V6UweZH+c1H6KsTjbZHEy2DQOzeTQjS8X0KT9m2Rrt5R0UTn3/5EhzWuun5E7MHu2iBPqaOboc7oY5NIYtezNK0DyLPWhAA1+IT/PUtYDFCXxn/mJ4V6whbt/Z/UFzexYLROb4KxTubJA9O+8koKC/+yHRENu6FsIlbJNdFAqpHQPvpGCgv/MBfM2TSa1y7ORzKzNVMV2LtUPi9v796wdFo2RDITo2B89ZuenrEbGNz9ngqWn+j1PMvZhsf2ZwIKxeSFvknPH97jUV5s7Q26kVcECzqClXR2oyAauQqweyTISJABIgAESACRMA6CUidf6QEunWuK9GiknoBixYoOSICRIAIWCiBS+r2cMIV/kfUrl/A7xn+x5HqhpWyuAu8CxPYNK3HDCgHz6quGRpvYQQif/oQYckRTHW6nQc85kSKFsXtm9dRZ0UbPX/nhunQysVTNA3kyDwEKju3Z4b+hzZuPuZx+BCr5ftz0vVN9FMguMPYD15C0I3D/GdWm7egHPmh4H6qa1C7fhyUOd+xaVEO3RH63rbqmqHxEhOIWj0IoVf38uur2UAox22QWBWg/X4RlOnLmY7kWgHwmXlIcl0kwDgCqbo/4LV3AJt8o7QO6kfkGGfMiFm5OafguN5Xb+aV8Wlo7NTSCGs0Ra4EEg/+BL9DfFWxi2iCZmr+oUJTdUetGoDQ/D/462WLIVCO/cRUszSfCBABIkAEiAARsHICUucfKYFu5QvM3OFJvYDNHR/ZJwJEgAhYMoHSkhLcjXCEvU0xC+PYK7vRMeApo8OKX/4CAm5p2HyNy3iohi022h5NtAwCUvcRLi4qQo2FTfVgZQ86CGfPIMsASCqrJFBpz80JmXBo4iQ6tQrlRZ3HQjV8meg6yKFwBCq0MXGfCuXrc4VzYKQlzeeToDrL74SPafAMgqfwJd2NNEvTRCYg12uG7sflUBxdxGik1pRHb3aRT4/VuIv/cwsC/uOrR52HE1qqM0WL73r+ZTRY5aLnL2dENFq06yiaBnJkfgIxezYiOGoKc5Rt2xbO85IFc1yhIozTa1CM/0Iw+2SICBABIkAEiAARsE4CUucfKYFunetKtKikXsCiBUqOiAARIAIWSCD/Si4c1rjqKT8/PBItnT2MjiZmZV8EXz/A5mtavwnVqDVG26OJlkFA8/lEqM5+xcTGNOiG4Ck7RBV/N7wJaj7wMEhm39/g5v+kqBrImfAEMhP+g9uOnsxwUaktbOflStJbNWpVf4Tm72NatLQ7SvgTLrLFrAWBcC0+zrxGyaQsv+bL6VCd+ozpiq33FIKm7RaZDrkzlcDRRU+i010+waTzfB+KQTNNNWvy/MjtqxGWFM7sZNi5w31OlMl2yYA0BKJ++Rih8bOZ88warnCbGyuamLuFd1BzcTM9f9mDD8HZI0A0DeTI/ATMXW1Ku24klJf4SiuRTV5C2ITN5g+MPBABIkAEiAARIAIWTUDq/CMl0C16+UgvXuoFLD0BUkAEiAARkC+BM5nJaLNZP8Foas/CyDVDEHaF/5Ff69QfyvEb5QuBlAlCQPfRMCjy+N2RuqavQPHu14LYNtTIzfDmqGdTwIZL1SfbUL00zjACSYd3wvfAG2zwZTREE/VpwyYLPEr38Qgocrczq/TjrsCAJTCXo3ZDC1xinuOf+gwBzw6SQIm+S83Xs6E68TGvq44SATP40raSCyQBBhE4Md8PLiXZbGx00DKE9Blr0FxzDora+QlC4/hEvtgJV3PG9jja1n43H8pjK1noUpTkLwxvolfRKrPvHrj5d34cT4fVxqzdHA5l5moWX2LtYPi9zz80bWrgms/GQ3WeT5hT6xJTidJ8IkAEiAARIAKPBwGp84+UQH881pnZopR6AZstMDJMBIgAEbACAmlR++G5px+L5FZpLdSNuGhSZNpPRkN5cSuzEdmoJ8ImfW+STZosfwLRK19FyPW/mFBNqzegGv2RqMKvqNuiMa4xnynPb4H3k71E1UDOhCcQvedzhERNZYaFLhlaHcUVymrXfxrBU3dWxwSNlRmBCg/e9PwJnmHPS65S+10ElMf4XuxCJyokD/AxEXBR7YJmuMyiTei6Ef7P9Jc8+vKlmE/atkP7eUmS6yIBxhHQbHwPqjNfssmx9bsgaOqvxhkzctY1dUs0xC02O/XFH+Gl6GGkNZomRwLajZOhPMOXVBd6nWm+mALVaf6h69j6XRE0dZccUZAmIkAEiAARIAJEQEYEpM4/UgJdRovBEqVIvYAtkRlpJgJEgAiIRaB8z8QcOKGFiT0Ty/+IF0MJJrFOp6R+Epc+B78CvvyrtsMEKN9YIKqm8omKxKe/hN/T/AMiooohZ4IR0G1dCkXqEmbvaE0fdJr9n2D2q2NI++08KLP4lhSU1KwOPfmNLbxTAPslzfWEyaXssO6HJVCkLWXaUuz94D3rH/lBJEUPJXA73Al1bArZGLlURon742sEaiYwXadtWqFteCqdTQsloPt4OBS5PzP1uiZ9oJjwrajRXFK3hxOuMJ9Jz2yCb9dXRdVAzsxLoEKJ9ca9EDZxi2BOtV/NgvLkOmYvvq4KAdN/F8w+GSICRIAIEAEiQASsk4DU+UdKoFvnuhItKqkXsGiBkiMiQASIgAUSiPp5DUIT5zHlx2q4oePcGJMi0XwzF6rja5mNhDph8J/xp0k2abL8CaQvVMCjKI3/8dZ7HhT9p4gq/EyEB9qU5jCfcU+sQ2D3oaJqIGfCE9B8OQ2qUxv481r3SQRO/014RwZY1G1bCUXKfDYy3c4DHnMiDZhJQ+RIIDfnNBzX++hJy3s7BU2bt5Fcbvm1llazEzxnayTXRQIMJ1Bw+yZqL2ulN+HU64fQzl36vtDxf/2AgH/GMG3n4YSWJj5AaTgZGik0ATlUAaJ7MKHPqvzsRa0ehNCre5kwbfNBUL79mWBCy1deSaoVBN+ZBwWzT4aIABEgAkSACBAB6yQgdf6REujWua5Ei0rqBSxaoOSICBABImCBBMonuxNrh8Lv/f0mRVJht6i9LzrN+tckmzRZ/gSy53vDueQMExoT9iGCe74lqvCT833QvoTvjR0TuhLBvUaKqoGcCU9At+4tKC79xAxHNu6NsInfCe/IAIvlyx5n27aB87wUA2bSEDkSyE6LhfMPz+hJuzvrImra15JcbuSOjxCWMIfpOGbXER3nREuuiwQYTiD3XDYcN/jpTbg87iiaNGttuBEzjUw69DN8Dw5n1i+iCZqpT5jJG5k1N4HEpc/Cr4C/PkhRBejEfH+4lJxkoUYHL0fIS/xDGuZmQPbNTyBuRS8E3uS/02najYZqxArBHOu2LoMidTGzJ2XFIcGCIkNEgAgQASJABIiA2QlInX+kBLrZT7F1O5B6AVs3XYqOCBABImAaAe2nY6G8wPcnj274PEIm84kqY6xH/fIxQuNns6lC7Go3RgfNEZdArtoZjrjKnCZ1+wq+XfqKKiJzQRDcirOYz6iAxQh9ZbyoGsiZ8AQq7Kxr+QZUYz4S3pEBFhMP/gS/Q/yDIZfQGE5qPmFggAkaIiMCabp98NzL96O+UVoH9SP4KhZSSo3+9TOExExnEo7btkeHeQlSSiLf1SSQnRoD563d9GbJ5QGNlP/2wPvP15m2K2iIxmr+AbRqhkrDJSaQsTAU7kUZTEWkrxph/d4TVVX6wjB4FKVLqkHUgB9DZ8lLusLnTjyLXNtxCpRD+EpmpiIpXxktw84d7nP49lCm2qf5RIAIEAEiQASIgHUSkDr/SAl061xXokUl9QIWLVByRASIABGwQAJRqwYiNJ/vLSdEKb7Y379CkHYio3HKtjXazTtqgXRIcnUI3Al3RC2bu2xKRp9dcA/qWh0TJo9NW6iEZxHfw1UnQRl5k4MgAxUIJC15Br53YvkfbN0mQTk0QhJSadF/wXM339P1Vmkt1I24KIkWcmo6gfj93yPg37HMkJzKWMfu3YQg3SSmjaodmH6+xbZQ/gGNm6W1US/igtgyKvVXXtv10jpoIJOHR2QByMJEnInwRJvS80x1nGotAnsMEzWKlMVd4F3IP+Sj9ZgO5WD+gVpRxZAzsxA4tjAEHYuOMdtRfvMR+ir/nc9Up/TgmKkEaT4RIAJEgAgQgceTgNT5R0qgP57rTrCopV7AggVChogAESACVkggYdnz8L/N9+/VuIyHahhfOs+YkMvv0KSyoMZQtKw5lfV5PT30X7R18xU1kIo/3s6AcvAsUTWQM+EJlK8sEOm/AGF9JwjvyACLci75bYB8GlKOQPmKKZk1XOE2l39YQ0pg8X9uQcB/bzMJZ22ao3U4v8NUSm3k2zAC5R/QyIETWsikz3hG7CG47+rDAikorYnaEbmGBUajZEfgqro1GuEG05X8/Gb4PPmSqDoTlnWH/20d86lxeQeqYYtE1UDOzEvgdIQX2paeY05iFasR9CLfCsJU73F/fI1ADX9/d9qmFdqG8w/Gmmqf5hMBIkAEiAARIALWSUDq/CMl0K1zXYkWldQLWLRAyRERIAJEwAIJVCj56BOOsNcmmxRJqu4PeO0dwGxcQ100VPO7YkwyTpNlSaCyPq9XxqehsVNLUfUmLH0O/gV8qUet60Qo/zdfVA3kTHgCOWo3tMAlZji+83oEPDdYeEcGWLx07iScNvjrjbz6TjoaObYwYDYNkRsB7XfzoTy2kslKrhUAn5mHZCGz/MNoF9AUzdXHZaGNRBhGIOqXdQiN5x/iyqrhAte5fPljw6yYZ1RWkhau23sw40WltrCLuGIeZ2TVrARKiouB+U1ha1PK/GT1+wOuvkqz+i1vPPaDPgi6wV8/tW3egnLkh6JqIGfmJWDudk0JB36E/+FRLAg5PXRkXrJknQgQASJABIgAETCFgNT5R0qgm3L2aC6kXsB0CogAESACRKBqAuci3NGqlC8nGvfEOgR2H2oSsqzEI3D9+UW9H2VrhOfBxtbWJLs0Wb4E5LIrN255TwTe+o+B0jiPhWr4MvmCI2UGEbgV3gx1be6wsWm9tsMz9DmD5go96NaNfNT9oJ2e2bNvaNG6g5fQrsieCAQ0G9+D6syXzFNs/S4ImvqrCJ4f7SL5n53w+esNNjAPDmiqPvXoiTRCNgS0WxZAmfEB05Ni7w/vWYdloa+yz+3iOXmoYWcnC30kwnAC+Vdy4bDGVW9CzlsxaNHWzXAjAoys2BZqMJRvrxfAMpmQC4Hb4U6oY1PI5KT33gGPkG6CyUv+dxd89v+PPvcEI0qGiAARIAJEgAg8HgSkzj9SAv3xWGdmi1LqBWy2wMgwESACRMAKCNwMb456NgUskrQXt8FT0d2kyM5kJqPN5if1bBTMOIfadeqZZJcmy5dAWtR+eO7pxwRK1Rc6ZmVfBF8/wHRoWg+HatRq+YIjZY8kUGl7gCGH0baj/i7wRxoSaEBpSQmKI5rCzqaEWczsuwdu/p0F8kBmxCSgW/cWFJd+Yi4jm7yEsAmbxZRQpa+j2t/R6feB7PVrqIeGar50rixEkoiHEtB8MRWq05+zMbH1nkLQtN2yoEb3arI4DYKIOHs8Fa2/0d9tfmvqKdSt7yCIfUON6D4aBkXeL2y4rukrULz7taHTaZzMCdwtvIOai5vpqcwefAjOHgGCKU/T7YPn3v7M3vXSOmgQkSOYfTJEBIgAESACRIAIWCcBqfOPlEC3znUlWlRSL2DRAiVHRIAIEAELI1BZYurU64fQzt20H0Jyc07Bcb1+72spynlb2OmwaLnlSy5KVWqYdj9Z9DKqVPzFsyfQ7HP9a1L+uxlwaNpcsmDl0GtWsuCtzHHU6kEIvbqXRaVtLp8dk+nRB+Cxuy/TJtWDSVZ2ykUNR/vpGCgv/MB8RjV6EaGT+H+LKqacs5xTx9DiyxC9v15/7wQaODSRUhb5NoLAsbjD6LiT73deWFoDNcNzRa/8pP10LJQXvufXu8MLCH1vqxER0RQ5Eriam4NGH3voSbs0OgFOrdoLJvdY/D/o+EtvZq+w1A72EXmC2SdDRIAIEAEiQASIgHUSkDr/SAl061xXokUl9QIWLVByRASIABGwMAIXzmSh+cYgPdVCJKZuXr+Keiud9eyeezMSrdrr/+hiYbhI7kMIRP/6GUJiprMRJ2yd4TIvUXRmuo/egCJvJ/Orc+wHxTt8eWbRBZFDkwmU79NbXGoDm3l5sK1Rw2TbxhowR+sLY7XQPNMIxK7ojaCb/zAjmnZjoBqx3DSjAs3OTPgPbjt6Mmt3uaRYxGWBrJMZMQhErhmCsCv8jnOd02tQjP9CDNeP9FHZw45X30lHI8cWj5xLA+RFIOnwDvgeeJOJykUjOKqzRRep3TgZyjP8+o6t3xVBU3eJroMcmoeAGJUOTqZGo/3WZ/UCKJl7WdJ7PvPQJKtEgAgQASJABIiAkASkzj9SAl3Is/kY2pJ6AT+GyClkIkAEiIBBBMr/OF9Uagvbebkm/0hRUlwM2wX6O5hODvwL7b30dzoZJJIGWQQB3dZlUKQuZlqP1vRBp9l8L3KxgtB+MgrKiz8yd5GNeyNs4ndiuSc/ZiBQvg/0FTREY/VpM3gy3GTWgkC4Fh9nE6ICFiH0lXcMN0AjZUMgacnT8L0Tx/RoO06Bcsg8WeirLJFQOu+K6LtKZQHDQkXEfPAygm/8zdRrWr8J1ag1sogmP+8CHD5y19OSOzoRjq30H4CUhVgS8VACMXs2IjhqChuTbdsWzvOSRaem+Xo2VCc+Zn7j6ygRMOMP0XWQQ/MQyEo8AtefX2TGue+NNcLzBP1MOns8Ba2/eUIvgILpZ1G7bn3zBEVWiQARIAJEgAgQAasgIHX+kRLoVrGMpAtC6gUsXeTkmQgQASIgbwLJ//0Knz+HMpFCJqZuhTdDXZs7zHZ67x3wCOkmbyCkzmgCmq/eh+rkp/yPpnVVCJj+u9H2jJ2o+Ww8VOf5/sVRDt0R+t42Y83RPBkQiPntCwRHTmZKsm3bwHleiqTKUhY/Be9CvsKC1mM6lINnS6qJnBtHIGNhKNyLMtjkSN8IhPWbZJwxgWedzkxC282d9awWzrwA+1q1BfZE5sxFIGHpc/AviGLmNR0mQPXGAnO5q5bdG9euoP6H+qWXzw+PREtnqhZULZAyGKz7cTkURxcxJWk1O8FztkZ0ZdrvF0GZzlfwSK4VAJ+Zh0TXQQ7NQyDlyG/w3jeYGc9HPTiozwnqrNK2PROz4NDYUVA/ZIwIEAEiQASIABGwLgJS5x8pgW5d60n0aKRewKIHTA6JABEgAhZCIH7/9wj4dyxTe86mOVqF84kEU8LIU7dDU+QzE8nPfgOfp142xSTNlTEB7fpxUObwO72lSlxrvpgC1emNjBSVD5XxojFQWvnqBqk1O8FLgsTAg3Ljlr+IwFtH2J80zmOhGr7MwIhomJwIZM/3hnPJGSYpJmw1gnsOl4XE89npaLkpTE/LzSnZqNegkSz0kYhHE0hd9AS87vIP/Oi8ZkExcMajJ4ow4k7BLdRa2lLP05mh/6GNm48I3smFkAQqPMQo0c7vyO2rEJakZqGl23nCY45OyFDJloQEyn9vPA8ntFRnCqqosj7ruWOT4NiinaB+yBgRIAJEgAgQASJgXQSkzj9SAt261pPo0Ui9gEUPmBwSASJABCyEQPTuDQiJnsbUnrBtD5d5CYKoPxvhjtalF5ituCfWIbA7v9tdECdkRDYEIte8jrAre5gerVN/KMfziWyxhGq/mgXlyXXMXbxEO+HFivdx8KPZNAOq7PX8taTuEwicvlfS0KNWDUBoPl+WVtt8MJRv8xolFUfOq0XgotoFzcD3FU98+kv4Pd2vWjbMNTj3XDYcN/jpmc9/NwMOTZubyyXZFZhA1oIAuBafYFajApcg9OVxAnsxzlxl7XayBx6As1ewcQZplmQEtJ+OhfLC9/w6c+iB0Pf4djZiCYv+9TOExExn7o7btkcHgb5XiBUD+amaQPSuTxES+75Zz++tG/mo+4F+svzcm5Fo1Z4qY9DaJAJEgAgQASJABKomIHX+kRLo1Vyd165dw2+//YaoqChER0fj7NmzuHTpEm7fvo1GjRqhU6dO6NmzJ9566y00bdr0kdZ///13bNiwAZGRkWV2nJycEBYWhtGjR+OFF1545HxuwK1bt7Bu3Tps27YNmZmZKCwsRNu2bdGrVy9MmDAB7dqZ74lOqRewQYBoEBEgAkTgMSQQ+dOHCEuOYJGn2XnBc45WEBLH5/ujQ8lJZis6aBlC+vC73QVxQkZkQyB2xUsIunmY6dG0HQnVWytF16f9LgLKYx8yv4m1g+H3/gHRdZBD4QhoPxkN5cWtzGBko54Im8QnCoTzZLgl3bq3oLj0E6+pcW+ETeQrMBhuiUZKTeBmeHPUsyngPwd7bYdn6HNSyyrzTzvxZHEaTBIh94cJ74Y3QU2bYhZj1qt74eqn33/YJAA0WRQCkasHI+zqb8yXttkAKMd9LorvB53E7duMwCPj2Z/O2LREm/A00XWQQ/MQqFgRyBtes/lqPEJ4LbpbCLtFTnqmsgcfgrNHgBDmyQYRIAJEgAgQASJgpQSkzj9SAr2aC2v//v14/vnnHznL0dERmzdvRo8ePSodW1pairFjx5Ylz6s6uCT6+vXrYWNjU+WYrKysskR5enp6pWMcHBywZcuWsqS+OQ6pF7A5YiKbRIAIEAFrIKD9bj6Ux/gkZ1KtIPjOPChIaGmLVPC8e5TZ0nnPhaL/VEFskxH5EUhe0hU+d+KZMG3HKVAOmSe60PI/7h2190WnWf+KroMcCkegQnUDiRIDD0ak2fgeVGe+ZH+Krd8FQVN/FS5osiQKgcp24J4c+Bfae4WI4v9RTirrUZ0zIhot2nV81FR6XSYELqvbogmuMTVya2dzO9wJdWwKmb6MPjvhHvS0TOiRDEMJVGgr0m4MVCP4XuSG2jF1XNKhn+F7kG+BcRFN0EzNV2Aw1T7Nl5aA5utZUJ3gqzwl1FHAf8Y+wUXRgz2CIyWDRIAIEAEiQASsnoDU+UdKoFdziXEJ9BEjRuCZZ55BcHBw2U7vli1boqSkBNzJ/Omnn/Dzzz+juLgY9vb2ZTvV/fz0y/NxLmfPno3FixeXeQ8MDMT06dPh6uoKLiG+fPlyxMXFlb3GjVu4cGGlKm/cuIHQ0FCkpd178nfUqFEYNGgQ6tSpg4MHD2LJkiXgxtStWxcajaZSHdUMv8JwqRewqfppPhEgAkTAWglUKI1crzMCp/FluE2JO3FpN/gVxDATWrf3oBzK90U0xTbNlR+BzAVBcCvOYsIi/RcirO+7oguN3L4aYUnhzG+6nQc85kSKroMcCkcg9oM+CLpxiBnUtBkB1chVwjkwwpJ2cziUmavZTCEfPjJCDk0xksD1/MtosMpFb7acEtTUo9rIEyujaQXhjqhtc5cpkluC+pq6JRriFtOX9uI2eCq6y4ggSTGEwNHFndGpMIkN1Xm+D8WgmYZMFXRMqu4PeO0dwGxeQz00VJ8T1AcZk46AZsO7UJ37hgmIbvAsQqb8LLigW+HNUNfmDn9d6v0zPEOeFdwPGSQCRIAIEAEiQASsh4DU+UdKoFdzLXGJ8Ro1ajx01i+//IK+ffuWjXn11Vexfft2vfFcmXUvLy8UFRUhJCQEhw8fLkt63z+4kuxdu3YtKxFvZ2dXliDnkuvlD7VajYiIe+V5uaT7tGl8r1vub1zSvEuXLmV+uIT/gQPClzmVegFX8/TRcCJABIjAY0NA89l4qM5vZvFGOXRH6HvbBIk/dkVvBN38h9nStBsN1YgVgtgmI/IjIJcytdG71iMkdgYDlFXDBa5z+Z3x8iNHih5FIHHpc/AriGLDtK4Tofzf/EdNM+vr5dtfZNi5w30Or9Gszsm4YAQunMlC841BevbyJ2bBobGjYD5MMUQ9qk2hJ/3cSksRDzoIZ0/9NSel0go75KU0/z0AACAASURBVJ/fDJ8nX5JSEvk2gsCJ+X5wKclmM6ODlyPkpTFGWDJtSmbCv3Db0YsZKSy1g31EnmlGabZsCOg+GgZF3i9Mj67pK1C8+7Xg+q6o26AxrjO7Kc9vgfeT/LoS3CEZJAJEgAgQASJABCyegNT5R0qgm2kJcQlyLvHNlXLneps/eIwfPx6ffPJJ2Z+4JLdSqaygQqvVQqVSlf39nXfewUcffaQ35u7du2jWrBmuXr1aloxPTk6Gra1tBTtcmfjPPvus7O9cQp7bNS/kIfUCFjIWskUEiAARsCYCuo+HQ5HL7xwQ8oeQqFUDEJr/B8OlbTEEyrH3PtfosD4CV9Wt0Qg3WGBS/dgVu3cTgnSTmI5Ttq3Rbh7fSsD6yFt/RKmLVPB6sB1EpzlQDNB/IFRsCjG/bUJwJK0zsbkL7S87NQbOW7vpmS2ek4cadnZCuzLaHpWyNRqd5BPzL1+Cw1o3PR0XRsaieZuKD71LJfai2gXNcJm5T3z6S/g93U8qOeTXSALlz2NC143wf6a/kdaMn5adHg/n77vqGSiafQl2Ne2NN0ozZUMg+sN+CLm2n+nRtBwK1Ri+pLtQQitcl7p+Ab9nXhPKPNkhAkSACBABIkAErJCA1PlHSqCbaVFxO8tjYmJQv359XL/OP2HJ9T7nyr6fPXsWnp6eSE1NrVIB9zrX27xNmzY4deqUXi/0P//8E9273yvBtnTpUsyYwe/IetDgg4n4WbNmYdGiRYJGLPUCFjQYMkYEiAARsCIC5kxyi7VLwYpOh8WGwu2SLJ3fFDVsSlkMWf3+gKtvxYf/zB1k/F8/IOAfftfVOZtmaBV+zNxuyb4ZCZyY7w+XkpPMQ3TQMoT0GWtGj482Xb7Pay4awVHN7/57tAUaIQcCadF/wXP3q0zKrdJaqBtxUQ7SeE3lStnKrQS4rGDJTMz57HS03BSmp+rapONo2KipbJSei+iIVqX8mo/vvB4Bzw2WjT4SYhiB8q0C0nvvgEeI/sNBhlkybVTOqWNo8WWInpEbk0+ifsPGphmm2bIgEL+sBwJua5kWbfvxUL55r+WkkMeZCA+0Kc1hJuOeWIfA7kOFdEG2iAARIAJEgAgQASsjIHX+kRLoZlhQXFLc19e3rA86l0jn+qDfP44fP87KsY8ZMwbr16+vUgH3+oYNG8pe5+a5uPB9/ObNm4cFCxaUvVbVLnbuNa58e6NGjXDz5s2ycu6HDvF9JoUIXeoFLEQMZIMIEAEiYI0EzFlmXbt+HJQ53zFsQpaHt8ZzYckxVdZH+PzwSLR09hA9rKTDO+B74E3mlxKbop8CwR3KMcGTHn0AHrvvtWLijtul9qgToV9NSnAQZFBwAuUfhLiExnBS8w9rCO7QCIPle1SnvvgjvBQ9jLBEU8QmcOJoFFx+fE7PrdwqHJyO8ELbUr5HdZxqLQJ7DBMbFfkzgUDBrRuovby1noXTQ/9FWzdfE6waN/XKpfNovM5Tb3Lu2GQ4tmhrnEGaJSsCRxd3RqfCJKZJ5zUTioHvC67x5HxftC85xezGhK5EcK+Rgvshg0SACBABIkAEiID1EJA6/0gJdIHWEte3nNtV/uuvv5b1I79w4UKZ5W+//RZDh/JPVO7Zswe9e/cue23VqlWYNIkvEVleCvf65MmTy/7MzevZsycb0r9/f/z0009l/75y5UpZkryqw9/fH4mJiXBycsLFi8LuvJB6AQt0+sgMESACRMDqCCQu7Qa/ghgWl9btPSiHqgWJU/PldKhO3WsPwh1x9TojcNoeQWyTEXkRqGzHkVS77I5qf0en3wcyQPmoBwc1nxyQFzlSYwgBOfbCrKxMbeHMC7CvVduQkGiMTAhYQsuHCj2qn/sWPp37yIQgyXgYgbSo/fDcw5dDl2OFgwq9s0M/QEivUXRiLYjApXMn4bTBX0/xlfFpaOzUUvQobt+8jjor2uj5PTdMh1Yu+kl10YWRQ0EIZC0IgGvxCWYrKnAJQl8eJ4jtB40cWxCMjsWZvJ+ARQh95R3B/ZBBIkAEiAARIAJEwHoISJ1/pAS6CWvpq6++wvDhw6u0MHXq1LJkuo2NDRvD7Th/++23y/69bds2vPZa1f1+uAQ5lyjnDm4etyP9/sH1TdfpdKhXrx5u3OD7klYmhkvYcwl47igoKECtWrUMjppboA87zp8/j7Cwe+XrMjIyysrNV3bY29ujRo0aZS9xO/MLCwsfardOnTrsda7fO7eTvqqD6/3+YEycbc5HVYednR1q1qzJXuaYcKX1qzq4sdwc7igpKcGdO3ceqp3Tcr8fPaeb01/Vwa2N2rX5H2QfFSvHkGN5/+C0cJoMjfX27dsP1U7nqXI8dJ7o/cStjPLXDrm/n06u7AavIr4/tM57LhT9p7LPAlOue7HbluDJ42vYGyapVhB8Zx4s+zdd9/jriDV8PmUlaeG6nd8RWVxqg4LpZ2Bre+8z/f4hxudTVsK/cN/FJ5e4ncF4n9/F8qAeuo+o/PNMjPNUnfu9Gktbw96G/4w52vNnuPg+Ual4sd5Pueey4bjBT0/D+bfi0MhRP2FB93uVrzGxztOj7svjd38KVUoEE5lh544O72tkdV9evhdszJPr0anzK0wz3ZfL97489b9dCPp3NBN4vyKKnL7nZi4IgltxFtOo8Z2PgJ68Zu4F+p5b9VdjOdxHnEqPhccv/CYKTi33QFdxSdW/XXBjzPH5VFJSjHor9HfDnxz4F1p28KXfI/5/GVny++nKcn+0Kr23CYg7ohRr4fP0gCrfIMZ+PqUuUsHrLv/99IjHLAS+MkHPj1zuI+6LMsf7SczvT9W5L5fDde8+G0t+P1na70YPvgHp9/Kq7wuMve5xFh/1Wz9d9yivQfflD88T5uXllbXE5o7Tp09XmX+s+h1s2iuUQDeBX1UJ9ICAgLKEt0KhqGB9xYoVmD59etnf9+7dixdeeKFKBdzr93edf/DBB5gyZQob6+3tjaNHj6J58+bIyeF7CFVmbODAgfjxxx/LXsrNzUXTpob3Znsw+f8oVBs3boSjo2Olw5566ik0adKk7LXLly/jn3/+eai5l19+mb2emZmJlJSUKsc3bty4rDz9/YMrmX/uXNU70lxdXeHj48PG//HHH2UPFlR1cGX4W7e+92WRS5jt27fvodq53vT3bzy5qgTR0dFVjueS5z168ImJ5ORkZGXxP3SUn9iqVSuEhoayPx8+fLisAkFVB7dO3Nzc2Ms7d+58qHY6T5XjofNE7yduZVja+6lT3Bx0BJ9cfLC3sKnXvaLjB9EvfxN7w6TZecJzjq7s33Td468j1vD5lHLkN3jv43um5pfWw99Bn1a4WIrx+XT13DF0+Kk7811SaoNdAV/BxpZ/UPH+i3QfUfnnmRjnydD7vZKiu+ib9Jae0K0dlqO2Q4tKxYv1fqpsl92PHVaglkNzPV10v1f5GhPrPD3qvrwkcx/6Xt/MRCbXCkDjN7bI6r78TLgb2tjw7QF+dHoPtdoEMs10Xy7f+/I7p6MxIHctE3japhXahqfK6ntu+sIweBSlM43bHd6CXYeuelDpe27VX43lcB9RcCEdA88tYiKvoS5qzjgu2e8R3WNHoo4N/wNnRp9dyLlhQ79H/P8ZsuT3U9fYcWhkw2/M2dpyFmq3qLq6gLGfT8lLusLnTjxb0zsaDIWtG39vz70gl/uI+yLpfk/e93t0nuj38vtrQE7fczlNcriPuM/Gkj+fLO132AevmJR/qvo+u7r3EcHBwZRArxqnvF+5evUq7u/Q5hKrXOKTS1Tv2LGjrM/56tWrWbn2+5Fwfcu5/uXc8ddff6Fbt25VBnngwAE8++yzZa9z8+bMmcPGcva5vujc0xenTlW+++r+4DfeeKOslDx3VPcpDUqgo6yPPSXQK1+mdENQORe6caMHUriVUd0bAqHfT0Gx09DWht9JEPfEOgR2v9dSxNQEemG2Bv0v80nU47bO6DAvscw2JdD564I1/AAUt28zAo+MZ0GdKW2GmKAPKlz8xLju3cw7jbbf8Q/McSJ2+H0J2xr3qsQ8eAj9fqIvQvcICPkg3t3b1/FaGr+2OPvb3NfCvl7lbYnEej+VlpSgKMIRNR/YGb+1bQRqO7rorTH6QbXyeyCxzhPn/WEPttqm78RLt7YzkXF1n0SzIZ/LKoF+Uu2J9jjPNP7oOAG12oawf0t9H0HXvaqve3dP/IPXrn7OEGXWcIXb3FhZJdCPLnoSne4mM40/NxyGGq73flu4f9D33MqvY9xf5XAfcedMLAZcWs1EnrNpjsbTEyRLoJdPsqZ0/x55RfUpgf7/Z8hS30+lJaXoFT9C/76n3XzUbtq+yjeIsZ9PCcueh//tSGZ3Z72BgHsvPT9yuY+4L4ru9+R9v0fniRLo99eAGL9HGPqguFzuI+h+jzZw3l8Dlr4xkBLoVX9nsdhXuGT1sGHDykq3f/HFF3jzzTdZLJa2A51KuFNpu4e9EanEU+V05FYil87T43mebi7zhCOusuCTn/0GPk/dq+5hauuK5L9/RKiOL7fH/aDXKjyjzDaVcOfXmzWU4orc8RHCEvgH+I7VcEWbqf9VeFOJcd27eCYTLTfdaxtz/8gbl4a6DSomXOm6J//rXk52Olx+0N8NefndTNSpW79S8WK+n8r3Zo/r+iU8lfpldKmkZ+VrTMzz9LDWSnGb3sMTF79nIqMceiDw3S2yKuF+fL4fOpRkM426gCXw68G3B6NSkZWvMTm0Vorb/gGeyOQfJkux94X3rH9l1aqs/E7P/1wnI+i1e5Xw7h9UIrfqb7pyuI8o34qCe1Cjw+xoyVrKXVvmjebIY9ASum6E5xN9qIT7/xOx1PfT7Vs30OQjvmohF87xgQfRsr1XlW8QYz+fYlf0RtBNvhrlf61HImjoQj0/crmPuC+K7vfkfb9H54lant5fA2L8HkEtESpeD+RwX/6gKmM/nzgbVGqfJym39xOVcK/6O4tFv3K/bDrXo5zb9c09RckdltYD/VEngUuwS9mD4FH66HUiQASIwONK4FZ4M9S1ucPCT++9Ax4hVVc9qQ6n5H93wWf//9iUPDigqfrh1VCqY5/GyoeAdssCKDP4JAFXBtln5iFJBObmnIbjer4FCyfiyvg0NHbS700tiThyWm0CWUlauG7n29gUl9rANvwybGxtq21L6AlnIjzQppRvkRSr+hhBPfhrntD+yJ7wBHRr/wfF5V3MsM6xHxTvfCm8IxMsHlsQjI7FmcxCVMAihL7yjgkWaapYBLRfzYLy5DrmLr6OEgEz/hDLvUF+EpY+B/+CKDZW6zoRyv/NN2guDZIHAe13EVAe+5CJSaoVCN+Zf0sm7nSEF9qW8q29YpVrEPQCv1lEMmHk2CQCuTmn4LjeV8+Gue6voz/sh5Br+5kvTas3oBr9kUn6aTIRIAJEgAgQASJg3QSkzj9SD3Qzra8tW7ZgyJAhZda/++47vP7662X/v3v3brz00ktl/79q1SpMmjSpSgXc65MnTy57fc+ePawfOvfv1157Ddu33ytLyPXAbtSo8nKX3Ov+/v5ITEyEk5MTLl68KGjEUi9gQYMhY0SACBABKyFQUlwM2wVN9KI5OfAvtPfiS8OaEmp69AF47O7LTNwqrYW6EcJ+vpiij+YKR0DzxRSoTm9kBmPrdUHQtF+Fc1ANS9eu5qHh6g56My6MjEXzNq7VsEJD5UIgVfcHvPYOYHK43q4N1Xw5ayl1Zi4IgltxFpMQ6b8QYX3flVIS+a4mgZiVfRF8/QCbpWn9JlSj1lTTinmHpy1UwrMolV9nPuEIe+3edz865E1As+FdqM59w0RGN3gWIVN+lpXouOUvIvDWEf490P5tqN5cKiuNJObhBDSfT4Lq7CY2KKb+0wieulMybFkLAuFafJz5jwpcgtCXx0mmhxwLQ+BURjzabdGvCFQ48wLsa9UWxsEDViJXD0bY1d/YX7TNB0H59meC+yGDRIAIEAEiQASIgPUQkDr/SAl0M62lP//8E1yvHO5YvHgxZs6cWfb/XN9yrn85d4wZM6ZsR3pVB/f6hg0b2DwXF773ItdHneuLzh0ajQZKpbJSM1wpXS65fvPmTXTp0gWHDgm7a0zqBWym00dmiQARIAIWTeDm9auot9JZL4bzwyPR0tlDkLhOpkaj/Vb9PprFc/JQw65iL2pBHJIRyQhoPxkF5cUfmf/IRj0RNokviyymsILbN1F7WSs9l2ffOILWHbzFlEG+BCKQcOBH+B8exazlwBEt1HzSWiA3RplJWdwF3oUJbK7WfRqUr/OtDIwySpNEJZCwrDv8b+uYT02HCVC9ce+7k1yOlMWd4V2YxOTovGZCMfB9ucgjHQ8hoPt4OBS5fMJc16QPFBO+lRWz2A9eQtCNw/x7oO0oqN7iK8rISiyJqZSA7qNhUOT9wl8jmr4Mxbv8gxtiY0tbpILn3aO8Hu+5UPSfKrYM8icwgYzYQ3Df1YdZLSitidoRuQJ7uWeuwrWz6StQvPu1WXyRUSJABIgAESACRMA6CEidf6QEupnW0VdffYXhw+/1sFu7di3effferpXS0lK0adMG586dg6enJ1JT+V0H5aV4eXkhLS0NrVu3LisDz/WVuH/s27cPPXrcK3u5dOlSzJgxo9JItFotVCpV2WtcEp9L5gt5SL2AhYyFbBEBIkAErIVAZaX4rr6TjkaOLQQJ8Xx2eoVe1Dcmn0T9hvfaldBhPQQi1wxB2JXdLCCtU38ox/M70sWMtLSkBDbz9deYkJUVxIyFfAExezYiOGoKQ3HSti3az0uWBZq45T0ReOs/pkXTbgxUI5bLQhuJMIzA0UVPotNdfj3pOs2GYoB+/2fDLJlvVNKSZ+B7J5a/vnacAuWQeeZzSJYFIxC1qj9C8/fx5675YCjfrvrBeMEcV8NQxVLJw6AavbYaFmio1ARiVr6C4OsH+c+iVtKew6QlT8P3Thxds6ReGAL7Tzq8E74H3mBWzdmaS/vpWCgv8A/iSvlgrsAYyRwRIAJEgAgQASJgJgJS5x8pgW6mE9urVy/89tu90kQHDx7E008/zTyNGzcOn376adm/q9o9/mDimxu/bh3fY42bV1hYiGbNmiE/Px9coj0lJUUvwX7f2dixY/HZZ/dKIkVGRiI0NFTQiKVewIIGQ8aIABEgAlZC4ExmMtpsflIvmjvvn0et2nUFifBqbg4afay/mz13dCIcW+nvehfEGRmRlIDcehUWhjeFvU0RY3Lsld3oGPCUpIzIuXEEIn/6EGHJEWxyup0HPOZEGmdM4FlRqwYiNP93ZpVKjAoMWARzWQsC4Fp8gnmKDlqKkD5vi+DZcBeWsEve8Gger5GW8JBN1OpBCL2694HrmPyS/I/Xqql+tIlLu8GvIIY/h26ToBzKf25W36JpM6gtgGn85Do77o+vEaiZwOSdtmmFtuFVb/QxJQ7N5xOhOvsV/9ksw/YXpsRHc4kAESACRIAIEAHhCUidf6QEejXPKbezfNCgQahdu+p+QA/2Lm/fvj2OHTsGuwfK2mZkZMDb2xtcefWQkBAcPnwYderUYUpu375dVm49Ojq6bN7Ro0fRsWPHCkofLOO+fPlyTJs2TW8Ml5zn7HB+unbtir///rua0T56uNQL+NEKaQQRIAJE4PEjkJV4BK4/v8gCLyq1RY3wPNjY2goC407BLdRa2lLP1umh/6Ktm68g9smIfAhU+LHUeSxUw5dJJvB6eAs0sLnN/Kf1/AmeYc9LpoccG09A+10ElMc+ZAaSagXBdya/0854y6bP1K4bCeWlbcwQ7ZAynanYFs5FuKNV6QXmNv7JTxHw/Otiy3iov7gVvRB48182RiPx9VVWcGQuJnlJV/jciWcqtTKsHhC5dijCLv/KNOqcXoNi/BcyJ0vyHiRwbGEIOhYd4z+LfCMQ1m+SZJBiVvZF8PUD/DWr9ZtQjVojmR5yLAyByB1rEZYwlxk7VsMNHefyD24I4+WeFc2mGVBl89U64up1RuC0PUK6IFtEgAgQASJABIiAlRGQOv9ICfRqLiguIX79+nX069cPnTt3LutnXr9+/bK/JSUl4bvvvsN//90r+Whvb489e/bgueeeq+CFK6fOlV7njsDAwLIS7JytrKwsLFu2DHFx90pjPazsOueTS8BzCXnuGD16dFlyn0vGc7veuXLtN27cKPv3kSNHEBAQUM1oHz1c6gX8aIU0gggQASLw+BFI1f0Br70DWODXUBcN1ecFA8GV0i6KcERNm2JmM7Pvb3Dz19/1LphDMiQZgYolhidDOSRcMj2X1W3RBNeY/+TnvoVPZ75vo2TCyHG1CWi+nAbVqQ1sXmy9pxA0jW8XUG2DAk7QbJgA1Tm+J2c07ZASkK44pq6o26AxrjNnKc9vgfeTvcRxbqCXCuWZ24yAauQqA2fTMCkJZCwMhXvRve/g3BHpq0ZYv/eklFTBN/UaltXpMErM2Qh3tH7gQaBY1ccI6vE/o2wJMSly9WCEXb1XZZE7tM0GQjmO/xwXwgfZEJ+AdstCKDNWMMfJtQLgM/OQWYRov50HZRb/0EVC7VD4v7/fLL7IKBEgAkSACBABImAdBKTOP1pUAj03Nxdnz57FpUuXkJeXV5YYdnJyKvuvQ4cOsBVoZ93DlhaXQM/Ozn7k6uP6nH/55Zd4/vnKd0WVlJRg1KhRZWOqOt566y1s2LDhoXFlZmaiZ8+eZbvcKzsaNmxYltTv3bv3IzUbM0DqBWyMZppDBIgAEbB2AokHf4LfobdYmBfRBM3UfClbIeK/pm6FhrjJTB19YSs6KV8QwjTZkBGB1EUqeN09yhTpvOdC0X+qZApz1K5ogVzmP6HrRvg/018yPeTYeALl+2BGObyA0Pe2Gm9QwJlyTu4LGKbVmuIe8rob4Qh7vYe89sDNv7OsYi7fR1vTcihUY/TbdslKMIlhBLLn+8C55DT7d0zoSgT3GikrQtpPx0B54QemiSppyOr0GCQmX90KDg/ca6d0/x7eT/Q0aK45Buk+HgFF7nb+nrBJHygmfGsOV2RTRAKaL6dDdepe20fuiKv7JAKn8w9KCClF+/0iKNOXM5Mp9v7wnnVYSBdkiwgQASJABIgAEbAyAlLnH2WdQOd2WO/cubOs9Pg///wDLllc1VGvXj0olUo89dRT4PqPBwUFmWWpcDvE9+/fX7bDOzU1FRcuXChL5nMl3Zs3b162y5tLVg8YMAB16z661yzXJ51LkkdFRYF7QMDR0bGsT/mYMWPw4ot8+d2HBXPz5s2yHunbtm0rY8T1R2/btm1ZYn3ixIlwdjZfT1qpF7BZTjIZJQJEgAhYOIHY379CkHYii+KUbWu0m8cnQYUI74K6A5ojj5lK7PoF/J55TQjTZENGBLIWBMK1+DhTFBW4BKEvj5NM4ekIL7QtPcf8S70bSzIQVuBYzuWFNV/PguoEn8iMr6NEwIw/rID64xFCwe2bqL2slV6wZ4b+hzZuPrICQLs5ZXU6qiWm/D1QQpfP4d+Nr/xTLWNmGqz5bDxU5zcz69ENn0fI5J/M5I3MCk2guKgINgscYWtTykyf6L8PLt4KoV0ZbI/WlMGoLGqgmA806rathCJlPuOTZucFzzlai+JFYokAESACRIAIEAFxCUidf5RlAj0mJgZr1qzB9u3bUVBQUHZGSkv5Lw5VnSIbGxv2koeHB8aPH48333wTXHKdDvMQkHoBmycqskoEiAARsGwCUb98jND42SwIc/SyOzW/E9qVnGU+YhWrEfTicMsGR+orECifsI5TrUVgj2GSkTox3w8uJXwloOiQFQjpPVoyPeTYeAJy7qUq5/7sxhN/fGZevngWTT7ppBdw3tspaNq8jawg6D4aBkXeL0yTzvFVKN7ZJCuNJKZyAtfULdEQt9iLcqzCo9n4HlRn+Gp3MfWfRvDUnXRKLYRAft4FOHzkrqf2wshYNG/jKlkEVJ1FMvRmdRy5ZgjCrvAtdHROr0Ex/guz+Iz6ZR1C42cx25k1XOE2N9YsvsgoESACRIAIEAEiYB0EpM4/yiqBziXO58yZg3379pWd3ftJ85YtW5btyg4ODkazZs3QpEkTNG7cGLdv38bly5dx5cqVsj7g3C7uxMRE3L17t2w+l1Dnxk6bNq1sJ3atWrWsY9XIKAqpF7CMUJAUIkAEiIBsCOi2LoUidQnTk2LvC+9Z/wqq79iCYHQs5ivDRPovRFjfdwX1QcakJ3BR7YJmuMyESF1p4NjCEHQs4tvW0LqTfo0YqyBh2fPwvx3Jpmtc3oFq2CJjzQk6r/w19Ki9LzoJfA0VVDAZ0yNw9ngKWn/zhN7fCmacQ+068nqoWrtuJJSXtjGdkY17I2zid3Q2ZU6AaxFQEtEENR7YGZz16l64+umvOanD0GyaAVX2eiYjrl5nBE7bI7Us8m8ggcquY7ennUGdeg0MtCD8sPL9qxNrh8KP+lcLD1pkizEfvIzgG3/z92NtRkA1cpVZVMT89gWCIycz2ydt26L9vGSz+CKjRIAIEAEiQASIgHUQkDr/KJsE+vDhw/Htt9+C6w3OHVwJ9iFDhqBfv35o166dwWebK19++PBhbNmyBTt27EB+fn5ZIp2zwdnv3Fleve8MDkymA6VewDLFQrKIABEgApIS0HwzF6rja5mGhDoK+M+493CaUEfK4s7wLkxi5nSe70MxaKZQ5smOTAiU7795tMcP6KQyrMWMOUKo0JO90xwoBkwzhyuyaWYCRxc9iU53+R9NdV6zoBg4w8xeDTMfuX0VwpLUbHC6nQc85vDJfsOs0CipCGQm/Ae3HXyf4LulNWAXngsbW1upJFXqV7t+HJQ5fMI8yuEFhL63VVYaSUxFArdvXkedFfrVDM6+cQStO3jLCpcY94KyCtjKxGTEHoL7rj4sqjulNWEfflHS6xg9XGZli+z/w0lc+iz8CqJZcFrXiVD+jy+zLmTU8X9uQcB/bzOTZ22ao3V4hpAuyBYRf9NfPgAAIABJREFUIAJEgAgQASJgZQSkzj/KJoFua2sLe3t7DBs2DFOmTIG7u365KmPO+507d8r6gi9evBhpaWlQq9WYN2+eMaZoThUEpF7AdGKIABEgAkSgIoEKZTsbPIPgKXyZWCGYJSzrDv/bOmZKTrtHhYiPbNwjUBjeFPY2RQzHsVd2o2PAU5LhSV7SFT534vkf+dynQfn6HMn0kGPjCWQtCIRr8XFmICpwCUJfHme8QQFnRu38BKFx/ANBWTU6wHVunIAeyJQ5CaQc+Q3e+wYzF1dRH43UfMsRc/qujm3N5xOhOvsVmxLd4FmETPm5OiZorAQEcnNOw3G9j55nObYIoFYUEiwOAV0m/r0dfn+PYBZz0QiOar6FjYCuDDYVuWMtwhLm8veEdh3RcQ6feDXYEA2UFYG0hUp4FqUyTTrveVD0n2IWjUmHfobvQb7l10U0QTP1CbP4IqNEgAgQASJABIiAdRCQOv8omwQ616985syZaNNG+N50XCl4LpFeXFyMwYP5H1OsYwlJG4XUC1ja6Mk7ESACRECeBLSfjIbyIr+LLbJxL4RN3CKo2JiVryD4+kFmU9N6OFSjVgvqg4xJS6DobiHsFjnpicgedBDOnkGSCavw4EaHCVC9sUAyPeTYeAJnI9zRuvQCMxD3xDoEdh9qvEEBZ8bs2YjgKP7HYyoxKiBcEUzF7/8eAf+OZZ7O2TRDq3C+9YMIEgxyUbGfcBcETfvVoLk0SDoCpzOT0HazflU7ObYI0P2wBIq0pQyUOdr5SHcWrN9z9O4NCInmK+zI4XOIPhutc92dnO+D9iWnWXDRoR8gpNcoswR7VLMXnf4YxGzL9QE3swRPRokAESACRIAIEAGjCEidf5RNAt0oejRJcgJSL2DJAZAAIkAEiIAMCUSuGYKwK7uZMm2zAVCO+1xQpZFrXkfYFb6Xpjl8CCqYjFWbwPX8y2iwykVvXs6IaLRo17HatoSaELuiN4Ju/sPMadqNhmrECqHMkx0RCVxWt0UTXGMek5/7Fj6d+XK1Ikqp4Cpu32YEHhnP/n7GpgXahKdLKYl8V4NA9K71CInl2wEct22PDvMSqmFBnKGar2dBdWIdcxZfV4WA6b+L45y8GE0gM+FfuO3oxebLtUWAbttKKFL4MsxpNTvBc7bG6LhporgEdFuXQZG6mDlNrekNr9lHxBVRzlvFh5OaoxWV35b0nAjh/IK6A5ojj5lK6LoR/s/0F8J0BRsZsX/DfdfL7O+3SmuhbsRFs/gio0SACBABIkAEiIB1EJA6/yirBPrp06fRtm1b6zizj0kUUi/gxwQzhUkEiAARqBaBmJV9EXz9AJtjjt3h2k9GQXnxR+bDHLvcqxU0DRacQG7OKTiu99Wze2V8Gho7tRTcl6EGoz/sh5Br+/m13WoYVKPXGjqdxsmIwJ1wR9SyucsUZfTZBfegrrJQmHBwG/wPjWRaLqApmqv5cvOyEEkiqiSg+3E5FEcXsdflkHiqTKx2sxrKzFXspcTaIfB7/y86szInUL5FQD7qwUF9TnaqI3d8hLAEvsXJMSq3Lbtz9DBBmk0zoMpez4bI4QGb5H92wuevN5gmOZSVt6iTKlOxN8JboL7NbaYu7cVt8FR0N4varCQtXLf3YLaLS21gG34ZNra2ZvFHRokAESACRIAIEAHLJyB1/lFWCfSaNWvi5ZdfxoQJE9ClSxfLP7uPQQRSL+DHADGFSASIABGoNoH4ZT0QcFvL5pmjP3n53q0xDboheMqOamulCfIlcPZ4Klp/o9QTWDD9LGrXrS+Z6MjVgxF29TfmX9t8EJRvfyaZHnJsHIG7hXdQc3EzvcmnXj+Edu4BxhkUeFbyv7vgs/9/zOplNEQTNV/eVGB3ZE5gAtpv5kJ5nH+wJqFOGPxn/CmwF9PNab9fDGX6MmYoxd4f3rMOm26YLJiVQPxfPyDgnzHMRw6c0EKdaVafxhi3lEoMxsT2OMzRfPYuVOe/YaFGN3wOIZO3Sxp6WtR+eO7pxzTcKK2D+hE5kmoi56YRKCkuhu2CJnpGTgzYD5dOoaYZrmL2qYx4tNui/7Dk3VkXUdO+lln8kVEiQASIABEgAkTA8glInX+UVQLd1tYWNjY2ZWfVx8enLJE+ZMgQ1K5d2/LPtJVGIPUCtlKsFBYRIAJEwCQCKYufgndhIrOh9ZgB5eBZJtksP7lC6dk6SgTM+ENQH2RMWgInUnRw2cbvQCkptYGNxLtEdB8NgyLvFwZG5/gqFO9skhYUea82gfy8C3D4yF1v3qXRCXBq1b7atswxIU23D557+fKl10vroAElCcyB2iw2NZ9Pguosf12IafAMgqfw1w2zODXCqG7bB1CkLGAzU2t2gheV2DaCpLhTKvambof285LEFWGAt5jfNiE4chIbmW3bFs7zkg2YSUPkQED38XAocn/m73eavgzFu3xCXQqN5XcPF5XaokZ4Hu0eluJkCOTz2tU8NFzdQc+aOds1nc9OR8tNYXr+bkw+ifoNGwsUEZkhAkSACBABIkAErI2A1PlHWSXQ+/fvj507d6KoqIgl0hs3boxRo0Zh3LhxVN5dhqtf6gUsQyQkiQgQASIgOYFjC0PQsegY0xHpvwBhfScIqqvizjk/eM/ie1ML6oyMSUIgPfoAPHb3Zb7l0KdQ++kYKC/8wK/tRj0RNul7SfiQU+MJnDuZjlZfyfcH1IzYQ3DfxfdjLyitidoRucYHTDNFJaBb9xYUl37irxNNXkLYhM2iajDEWeSOtQhLmMuGZti5w31OlCFTaYyEBMr3Fk+384THHJ2Eiip3HbdvMwKPjGcvnrFpgTbh6bLTSYIqJxC1aiBC839nL2qbD4bybb6kuxTcTmcmoe3mznquC2degH0t2vAixfkQwmfO6f9j70zAoqreP/5lUXAXRUUWEUV2ZGdmyvSnLWa2uZRZpmlaVi6VmbsM7pqWa2plplmZVpapZaa26cywI4KIKCCKqKDiigrM/4H+nesF1IGZO/cMvDyPz1Mz53zf7/u5h5lh3nvekwmndWEiqctvn0Dzlq1NIV9FoyA/F45rAkSPy308lCSJkigRIAJEgAgQASJgMgJy1x+5KqCXU83Ly8Pq1avx2Wef4ezZsxWgy3ell+9Op/buJlt3JhOSewGbLBESIgJEgAjUIQI5s/zhXnaKZRQfuRRhTww3aYaVv/inszVNipcLMR7bWGs+GQtVHl8tTbm4WBZmorruBphZCGsbGy4yOXFYh07f8dV9gQswFmKCx8JTdegqt9g+buOBzjOSLIRy/bVZ+ez6FLtQBE7Zzx2Q5P1bEfTnSOYrH45wUh/nzicZqp5AwuKnEHpVONJB4zYSqleXyIrr3OkstP1UfNRK0fjjaOHgKKsvCl57AllpsfDY8ohIoHR6IWxsbWsveo+Z1e14PzsyAe1cO0sSj0SJABEgAkSACBAByycgd/2RuwL6f5f09u3b2LJlC1atWgWt9t9zXKm9O38LXu4FzB8RckQEiAARkJ9AvroznCDslkzu8RmCegrtiE3hsGprUFe4z0w1hTRpcEKg8jmvZ9AG7WU+51Xz+USoTn7CCCU06Y7QiT9zQoxsGEogPWYPfHYNZMN5O0eVzug09EryOS7xg74IufYPM6fp8DpUIxZxZ5ZabHN3SQwypFn3HlS5n97xPvQQQifuMGiuOQel/PUTAvcNZSEL0BKO6hxzWqBYRhA4tOARdC0WOlJoO4+H8uVZRigaP7Xownm0WO4pEuLp+BXjM6x/Cub+PHaz+DrsFrQXgT415ABcPcW70uvflaCMiQARIAJEgAgQgbsRkLv+yG0B/U5gCQkJWL58eUVBvbi4mNq7c/T7JPcC5ggFWSECRIAIcEOgSO2MFrjG/KQ9/i38lI+b1F/lnU1n0Rrt1CdMGoPE5CUQv/MzhMVOYCayrd3QUebzUzUbpkGVtZJ5Sm6kQNCk3+QFRdFrTODQ/u/Q9c9X2bxzaIW26qwa60g1oboW89cm5KBJs5ZShSRdExI4PL8HAm4KO7m1Xu9B+aLQKt2EoYySohbbRuGTbbJ29WgozwpHh8S2eBwR73wrm5+7BU7T/AK/3S+wpy+hKVqqT3PnkwxVT+DI3Afge1u4MVXnOxWKQZNkxUXFT1nxSxK88t9zUn8e05eVwWqW+LzzrOd/h4dfhCT5kSgRIAJEgAgQASJg+QTkrj9aRAH9v8t84cIFfPLJJ1i7di1ycv69e5rau8v7SyD3ApY3e4pOBIgAEeCTwK2oVmhoVcrMZfbbBc+gB01qNk37K/x+HcQ0L6MJmqvzTBqDxOQlwGObfu3Xs6HMWMzApNiFIHDKH/KCoug1JsB7B4uCvBw4ftJVlNelMUfR0tGpxrnSBPMTyJgTAa+SDBY4tussRPQfb34j94lILba5uyQGGYpZPgSRF4TOJ7o2A6F4a51Bc805KD1uL3x29Gchr+nt0ST63yPy6Id/ApmzQ+FZKrTcjw2eh4hnhTPt5cigvPhZFt0KNlZ6Fv7EwN/QKUAhhx2KaQICctwsWxzlCHur28z9sWd+RpeQ7ibIhiSIABEgAkSACBCBukhA7vqjRRXQ/1sAZWVl2L59O1auXIl9+/ZVPEzt3eX59ZB7AcuTNUUlAkSACPBL4NbNYjSc305kMHfIP3DzDDSp6czkA/Dc9gTTvK23QYPoCyaNQWLyEtBtng9F+gJmIrVhIPynCm2R5XCn27IIirS5LPSRBv7wnXZQDisU0wgCsT8sQ8ShmUwhw9YLXtOFVrVGSJtk6qWCfLRc6S3SKnjtEByd3U2iTyLSEsiZ5Q/3slMsSIJiKUL7DJc2aC3UqcV2LaBxMCV+ybMIuyKcea5xeQWqUcs4cCa2kJn8Dzy39WUP3tLbomF0IXc+yVD1BHKjfeGmF25MTVQtR0jvYbLjuhbVDk2sipmP9Cd/gE/4w7L7IgO1I6DbugSKVOFogKO2PvCerqudmIGzLqud0fyOTmlH+myBr6K3gbNpGBEgAkSACBABIlDfCMhdf7TIAvqdi+TIkSMVhfRNmzbhypUrFU+VF9MdHBwwatQozJ8/v76tKbPmK/cCNmuyFIwIEAEiYAEEigrPosUKL5FTKQo/uceS4faVeLfArSln0dDO3gIokUVDCGg3zoDyxHI2NNk+AkGTfzdkqmRjKu+K563wKlnidUy4cieBw3bBCJjyJzdZXrtyCU2WiIvlea/EwLmjuKjOjWEyIiJwTu2BthBu6Dr0v8/R9X8DuKNELba5uyQGGUpe+CiCbsSwsRqPMVANE27sMkjEDIOyUnXw2PqYKJJ+5kVYWVubITqFMJbAeXVHtMFFJsPL61ihugNao4j5OvzIlwjo9rSx6dJ8mQhoN0VBmblUWGf24eg6ea+kbgrU7nDEJRYjpddGBHZ/RtKYJE4EiAARIAJEgAhYLgG5648WX0D/79JfvXoVX3zxBVatWoWjR49WPFxeSC8tFVrYWu4y4de53AuYXzLkjAgQASIgD4H8k8fg9Hm4KPjVd7PRtLn4vDlj3Z3Py0abT4JEMkVjM9CitXj3u7FxaL58BDTrJkCV+xkzkNC0O0LfE9rWyuEsbscnCI+byEJnWXeEx8xkOaxQTCMIaNZPgipnDVNIbPwgQt7fZYSiaafevnUTDea1FYmefPFPdPAKNm0gUpOEQJUdkn2/h0/EI5LEMkaUWmwbQ0++uWlzH4Tf7cPMgM53ChSDJstn6C6RT2YkocPXPUTPlkw7D9sGDbnzSoaqErgS5YRmVjfYE+l9tsJHIb4hQg5uedFd4Kw/x0InPbQWwQ+/IIcVimkCAprP3oHq1Od3fNbvgdD3tptA+e4SZ9SeaI/ztIYkpUziRIAIEAEiQATqDgG5649cFdBv376Ny5cvV/wrKiqq9X+X6+j1eiqgm+H3RO4FbIYUKQQRIAJEwKII5ByJh/u3vUSeS6cXwsbW1qR5XCm6gGYfeYg080fEwalDF5PGITH5CGjXvAll/lfMQGyL3oh4Z4t8hgAk7t6AEM045iHXyhluUUdk9UTBa06g6tp6DBHvbK25kEQzys951Ue3gjWd8yoRYelkS0tKYDOntShA9qC96OgrvrFMOgeGK1OLbcNZ8TTy+OwQdC49Ibw3cnA2dXV88rLS4bxBfDb1jYmn0KhJM55wkpdqCFR31vjxAbvROVApO6/sWQHoWJbLfMRHfoiwJ16V3RcZqB0B7aqRUJ4XPn/FODyJyPHCZ//aqd571slZfuhQdpoNSlAuQ+jjr0gRijSJABEgAkSACBCBOkBA7vojVwV0Gxsbgy9peYH8fj+0A/1+hIx/Xu4FbHwGpEAEiAARqFsEMhL+gNd2oQ3edb0dGkcLO0VMlW11RYqcQfvg7htmqhCkIzMB3crhUBT8wFzoWj8LxdgNsrpK3rcFQX+NYh7y0QZO6kxZPVHwmhPQrRgKReFPwtpy7A/FmPU1F5JwRnGUI+ytbrMIGU9vh1eoeDenhOFJupYELl8qRPOlnUSz81+Nh5ObZy0VpZuWlRYLjy3infHUYls63qZSPhXtDVd9PpNLUK1EaO+XTSVvMp1zp7PQ9lNx14yi8cfRwsHRZDFISBoCxdevwn6Ri0j89NCDcOnkL03AGqgemxOOLiXH2IyYoDmI7De2Bgo0lCcCsR8NQkTRr8yStt1gKN8QOgRJ4fX47GB0Ls1i0nGhCxH+9GgpQpEmESACRIAIEAEiUAcIyF1/5KqAbm1tXbFr/L/iePn/N23aFM2bN6/416xZs2r/+17Pdeok/gKlDqwZrlKQewFzBYPMEAEiQAQ4IHD4n+0I+F34IvcCmqOVWtgpYkqLN6LaoJHVLSaZ8fRP8Ar9nylDkJaMBOT4Uu1+6R7++ycE7B3KhhWiBVqrT95vGj3PGYG4Dwcg/PLvzJXGeShUr63gyiWv7XO5gsShmfzcTDitE9/IdfntE2jeUrwrnQfruceS4fZVd5GV21PPoUFDOx7skYe7EKh8BjSv5/cWnj2F1qvFBdfCN1LRup0rXVvOCVw8fwYOq3xELgtGp8DRqYPsztPmdYPfrRTmQ+c7FYpBk2T3RQZqRyDxg74IufaP8Hmsw+tQjVhUOzEDZx2dEwnvkn+P3Sz/iQmMRuSAtw2cTcOIABEgAkSACBCB+kZA7vojlwX08kXQsmVLjBkzBm+++SbataPzVHn9xZB7AfPKhXwRASJABOQikLTnawQfeIOFz7NqB+eoDEnsXFC7oRUuM+3Dj3yJgG5PSxKLRM1PIGHx0wi9+icLrHV9FcqRH5rfyB0R03W/weeX59gjl9EYzdVnZPVEwWtOIGlhbwTf0Aprq+NbUL4yr+ZCEs6g1zcJ4UoonX0kDh2/fVgUQYpjTEyRQl72UTh/ESmSuv7eSTRu2sIU8qQhEYHKNw8efXIbvMPFR+dIFLpGskUXC9BiWWfRnHOjktDWRXz8To1EabBZCFT32nBtQg6aNGtplvj3CnJowSPoWhwrvH97vg3lkGjZfZGB2hE4PL8HAm4mCdfT6z0oX5xROzEDZ6XO6wZ/0U0YU6AYNNnA2TSMCBABIkAEiAARqG8E5K4/clVA3717N1asWIFff/0VZWVlFbvRGzRogEGDBmHcuHEIC6O2sLz9gsi9gHnjQX6IABEgAnITiPt5LcLj32c2sqw7wmNmsiS28qK94Kw/y7STHlyN4EdflCQWiZqfQPLCRxF0I4YF1nQaB9XQ2eY3ckfEY0l/o8uPT7JHbuobwC66QFZPFLzmBKp8eeozGYoXptRcSMIZZ9Wd0A6FLEJyj88Q1FO4eUPC0CRtBIH0uL3w2dGfKVzT26NJtPA+ZYS0yaeez8tGm0+CRLpF4zLRolUbk8ciQdMQKLl9C7ZzxdeH1+Nrbly7gkYfiHeb5w3TwdlDvLPZNGRIxZQEqjveoWzGBVjX4MhDU/q5UyvhgycReu1v4bOhGXYsS5UL6QJVW/LPRmS/cZKiObTgYXQtjmMxtJ7vQDlELWlMEicCRIAIEAEiQAQsl4Dc9UeuCuj/XcYTJ05UFNK/+OILFBUVVRTSy38eeOABjB8/Hv3790d5e3f6kZ+A3AtYfgLkgAgQASLAFwHd1iVQpM5iptJtfeEzXdjpaUq3WbOC4FGWzSTjwhYh/KnXTRmCtGQkkDrvIfjfOiR8weU9CcrBU2V0BNCZwbLiN1nwzNmh8Cw9zvRig+ci4tkxJtM3hVDlc44TH1iFkMeGmEKaNCQkkPLnDwjcP5xFOA8HtFEL71MShq6xdPVtmg/D0cmtxlo0wTwEqtvVfXZkAtq5ind6m8fNvaNUV+w/+eKf6OAlPhedB6/kQUzgaNw+eO/oxx68rrdD4+hzXGCqcgRL+6FQvc7XESxcgLIQE7nRvnDT5zG3CcplCH38FUndJy7qg5DrB1kMTcc3oHplgaQxSdyyCaQe2ImrCVtg5RyCiH7jYEX1AMu+oOSeCBABIlBDAnLXH7ksoP/H8Pr169iwYQNWrVqFtLS0iofLi+kuLi4V7d1HjRoFBweHGiKn4aYkIPcCNmUupEUEiAARqAsEtF/NgvLYEpZKil0oAqfslyS1o3MU8C5JZ9oxAVGIHPiuJLFI1PwEMuZEwKtEaP8f23UWIvqPN7+ROyKeyjwM100PijzcnHwGdvaNZfVFwWtG4FS0D1z1Quv9RNVyhPQeVjMRiUdnzwpAx7JcFiU+YgnC+o6UOCrJG0sg4Zf1CNUJZ6metHZBh5n//h3J28+Vogto9pG4nXb+q/FwcvPkzSr5+X8C+SePwenzcBGPy2+fQPOWrbljpC/v6DdL/F1J1nO/wcNfwZ1XMiQmcPjvnxCwdyh7sBAt0Fp9kgtMMcuHIPLCz8yLrs1AKN5ax4U3MlFzAgVqdzjiEpuY0msjArs/U3OhGsyIX/wMwq7+wWZoXEdANfKjGijQ0PpEoPxoHrfNj8DGSl+Rts5vOhTPT6xPCChXIkAEiEC9JyB3/ZHrAvqdq2Pv3r1Yvnw5du7cydq729vb4+WXX8bYsWPh7+9f7xeTHADkXsBy5EwxiQARIAI8E9CsnwRVzhpmMbFJN4RM3CmJ5ZT5/0PgzUSmre0yAcqXZkoSi0TNTyB7ViA6lglf2MZFLEZ431HmN3JHxPzcTDitEx/pw2vxQlZQnAeX4wvbmiI5PjsEnUtPsGmxIfMR8cybNZWh8WYmEPvDMkQcEt6HMmy94DVdOK/XzHbuGa74xjXYL3QWjTk99CBcOtHftTxdpzu9lH+R3/Hbh0X2SqcXwsbWlkvLt6Jao6FVCfOW2W8nPIO6cemVTAkEEn/bhJCDb7EHTlu1g0uUcEOjnKy0H4+C8twWZiHGoS8ix38tpyWKbQSB4ihH2FvdZgoZT/8Er9D/GaF4/6mxHz2PiKLdbKDW6SUoR398/4k0ol4S0HwyDqq8DSz35EaRCJq0p16yoKSJABEgAvWVgNz1R4spoP+3QLKzs7Fy5UqsX78eFy9eZO3dH3744Yr27n379q2va0mWvOVewLIkTUGJABEgAhwT0Kx9C6ozm5jD2BaPIeKdrZI4Tlz0BEKuH2DaGvfRUA1fKEksEjU/gbzoLnDWCy1Dk7qtQfAjg81v5I6IF86dRquP/UQeCt9IRet24nNeZTVJwe9L4HpUWzS2usnGHX1yG7zDe913njkHHJ0TCe+SoyxkTKAakQPeMacFilULAtqvZ0OZsZjNPGwXjIApf9ZCSfoppSUlsJkj3rmc88J+uPuESh+cItSKQHrcXvjs6M/m8tRau7qErkW1QxOrYvZU+pM/wCdcfANArUDQJEkJxP28FuHx77MYWdYd4TEzWdKYhopXLmbFNXsY4RN+MHQ6jeOIwK2bxWg4v53IkTmOedAtfxmKC9tZXJ3jACjGfM4RGbLCE4HD83sg4GaS8DeDrQ+8p+t4skheiAARIAJEQGICctcfLa6A/t/1uHHjBr788suK9u4pKSkVD5e3d+/UqRPGjRuH4cOHo2nTphJfPpKXewHTFSACRIAIEAExAd3K4VAUCF9k6Vo/C8VY4a5tU/KK+3Agwi8Ld4Br2g+B6vVVpgxBWjISKFR3QGsUMQeHH96IgIekbet4v3SvXr6Iph92FA3LHxEHpw5d7jeVnueEQHXn8vJYNEyb1w1+t/79G6P8R+c7BYpBkzmhSDbuRkDz+ftQnVzLnpayC4sprkJJlANsrcqY1PEBu9E5UGkKadKQgEDKX9sQuE84H7gALeGozpEgkmkkL6ld0BJXmVha783wU/UxjTipSEZAt3UJFKmzmH66rS98pmsli1cT4Sqdrho/iJD3d9VEgsZyQuDi+TNwWOUjclPw2iE4OrtL6lC7aiSU54Wbu2NaPYXIccLN35IGJ3GLIlBWWoqrs13RHNeZ7xxrV7jPTLWoPMgsESACRIAIGEdA7vqjxRbQ78S+f/9+rFixAj///DNKS0srCunlxfPyIvrSpUuNu0I0+54E5F7AdHmIABEgAkRATMCcbfF0K4ZBUfgjM6Bz7A/FmPV0SeoIAR53rlW3WyZ3yD9w8wysI9TrfhpFFwvQYllnUaJnRyagnav4MblJpMzvicCbCcyGtsu7UL4UJbctin8fAtrVo6E8+w0bFdvicUS88y233G5EtUEjq1vMX8bT2+EV2oNbv/XdWOLuDQjRjGMYTlm1h2tUOrdYLOG4DG7hyWhM+1U0lMc+ZA5S7EIROGW/jI6E0NovZ0J5fBl7INk+AkGTf+fCG5moGYHTJ1LhsvEB0aQbE0+hUZNmNROq4WhzdkuroTUazhmB3GPJcPuqu8gV7zeucYaQ7BABIkAE6gQBueuPFl1ALysrw+XLl9m/Q4cOYeHChaId6eUFdfqRjoDcC1i6zEiZCBABImCZBBI+eBKh1/5m5jUdXodqxCJJktGueRPK/K+YdmyL3oh4RzgXUZKgJGoWAvqyMuijW8HaSs/inRj4GzoFKMyG8NJ7AAAgAElEQVQS/25BqvOV9dxv8PCX15esUCwseP7JY3D6PFzkmsdz7JMW9kbwDWHHn8bjLaiGzbMw2vXPbpXWsG0GQvHWOm5BXIlyQjOrG8xfep+t8FE8xq3f+m4s9seViEiaxjBk2nSG5wzhRhve+OSrO8MJBcxWco/PENTzOd5skp9KBHje5a39Zi6UR4W/K1IbBsF/6l90DS2QQGbyAXhue4I5L9FbwyaqEFbW1pJmo1k3Aarcz1iMhKY9EPqe0NJd0uAkblEE4ravRniCuPtTsb4B7KOF9zWLSojMEgEiQASIQK0IyF1/5KqAvnnzZhQVFYmK4ncWyP/77//GlLdxv+sXrHp9xU50KqDXal0aPEnuBWywURpIBIgAEagnBA4t6IWuxfEsWyl3TWo+nwjVyU+EL0CaPITQiTvqCem6nWbxjWuwX+gsSvLUkANw9QyQPfHiKEfYW91mPmjHpuyXpEYGso/EoeO34jN4S6cXwsbWtkY6Ug+uejPSa1CN+EDqsKRvJIH4Jf0QdmUfU9G4vALVKGG3pJHyJp9+Ue0GB1xmuqmPfg3/B/uaPA4JmoaAbvN8KNIXMLG0hoHwm/qPacQlUDkV7Q1XfT5TTnxgFUIeGyJBJJI0JYHKO3Tjmj+K8He/M2WIWmvpti6GInU2m5/ewA8+0zS11qOJ8hFIPbAT/nteZAYuoSlaqk9LbkizYSpUWcKRX0mNVQh+/1fJ41IAyyNQud3/fxkUT8qDfaMmlpcQOSYCRIAIEIFaEZC7/shVAd3a2rqi6H23H71e2AVlCG0qoBtCybgxci9g49zTbCJABIhA3SOQPlcFn9tpLDGd/0wonpsgSaLaTVFQZgpHpRyyD0fXyXsliUWi5iVwqSAfLVd6i4Ka41xEQ7K8rHZGc1xjQ4/02QJfRW9DptIYDgikx+2Fz47+zMl1vR0aR5/jwJnYQtyS/gi/IryeaZyHQfXacu58kiExgeSFjyLoRgx7UNNpHFRDhWIPb7zOqT3QFheYrZSe6xHYQ/j94M1vffdTufCT3EiBoEm/cYslZ1YA3Mtymb/4yKUIe2I4t37J2L8EdCuHQ1Hwg/BZvvWzUIzdwAWemG0rEJk8nXk5ZuOJLjOEG3e5MEkmDCKQtOdrBB94g43Ns2oL56hjBs01ZpD2q1lQHlsivO9xdESBMXnRXNMTODpHAe+SqsekFIw+DEcnN9MHJEUiQASIABHgkoDc9UfuCuiVr1J5EbxZs2Zo0aJFxb+WLVuy/zbk/11cXLi88HXFlNwLuK5wpDyIABEgAqYicGJWEDqVZTO5uNCFCH96tKnkRTq6LR9AkTaHPXakgR98aReKJKzNLZqfmwmndWGisLy02aYzXc29GkwbL+XPHxC4Xyjg8HqWYezSFxBx6ReWvLbdYCjfWGNaGKRmcgJH5j4A39upTFfnNw2K5983eRxTCeZFd4GzXriBJOmhtQh++AVTyZOOiQloPhkHVZ5QyIxv1gthE7aZOIrp5Mz5mdB0rkkp9qNBiCgSduTy9P4Tt/NThMe+xy5SlrU7PGYeootmgQRif/oYEYlTmPPjNh7oPCNJ8kx0WxZBkTaXxUlrEAC/aQckj0sBLIvA7Vs3UTbXBXZ3dB37L4Pcl/6CW5cgy0qI3BIBIkAEiECtCchdf+SqgL5jx44qBfLmzZvfc1d6rcnTRJMQkHsBmyQJEiECRIAI1CECp6O94KI/yzKSsl1n5XPJzPXFSx26XNymknM0Ce7f9BD5uz31HBo0tJPd8xm1J9rjPPOR3H0tgnpRwUn2C2OggYRfv0CodjwbnWvlDLeoIwbONt8w3YqhUBT+xALqHPtDMWa9+QxQpFoRsLSCYW60L9z0ecJ7tmo5QnoPq1XuNEl6ArqVI6Ao+F54XWj1NBTjvpQ+cC0jHJsTji4lwo7SmKA5iOw3tpZqNM1cBBI+eAqh14RzxTVuo6B6dbG5wt8zTsLuLxGqGcPGnLJqD9eoqjtEuTBLJu5JQPftAiiOzGdjzFXIjv1hGSIOzWRxM2y94DU9lq4WERARyEz+B57bqj/SJuPpn+AV+j8iRgSIABEgAvWEgNz1R64K6PXkmtepNOVewHUKJiVDBIgAETABgUJ1B7RGEVM6/PBGBDz0jAmUq0ok/rYJIQffuuNLNCe4Rh2VJBaJmpdA5S8tbult0DBaaDNsXjfiaCdn+aFDmXBGY4JyGUIff0VOSxS7BgQspf1r5XMXYxyeROT4r2qQKQ2Vg0CVHd3d1iD4kcFyWDEoZtasrvAoy2Fj4yIWI7zvKIPm0iDzE4j96HlEFO1mgXnaGVwdDXMe62P+q1F3Ix5a8DC6FscJ68zzbSiHRHORcPK+LQj6S3iNyocjnNTHufBGJmpGQPvFVCiz7ziLvJESwZOE17eaqRk+Ou7ntQiPFzrDZFl3hMfMZMMFaGS9IKDbuhiK1OqP4KHjburFEqAkiQARIAKMgNz1Ryqg02I0ioDcC9go8zSZCBABIlAHCVyPaovGVjdZZkef3Abv8F6SZJry108I3DeUafPailmS5Ou4aJr2V/j9OohleRlN0Fwt7JKUM31L22EqJyseY2u/mQvl0UXMWmrDrvCf+jd3VrVr3oQyXyiYx7bojYh3tnDnkwyJCVxSu6Alrgrr67Fv4P/AE9xiypwdCs9SofgUGzwPEc8KN6Zxa7yeGkv8oC9Crv3Dstd0eA2qER9wSyN13kPwvyW019b5TIbiBaFlM7fG67kxno+iOPz3TwjYK3z2L0QLtFafrOdXzDLT16wdC9WZjcx8XPNHEP6u0GFDqqwSd29AiGYck+e1E5FU+ZOuYQRilr2IyIs7qx0cH/khwp541TAhGkUEiAARIAIWT0Du+iMV0C1+CcmbgNwLWN7sKToRIAJEgC8CZaWlsJ7dSmQqe9BedPQNl8Roetxe+Ozoz7Sv6+3QOFo4y1WSoCRqFgKH/vgeXf8YwWKdQyu0VWeZJfb9gmTMiYBXSQYbFtt1FiL6Cy3B7zefnpeXgOaLyVBlr2YmEhs/gJD3hbPG5XUnRNd8+jZUp4WW7fHNeiJswo+82CMf1RDQl5XhdrQjGlqVsmcz++2CZ9CD3PI6OkcB7xKh/XFMoBqRA97h1m99N5Yy/38IvJnIMGi7vAvlS1HcYkmZ3xOBNxMsxi+3IM1s7PjsEHQuPSF8zgmZj4hn3jSzi+rDHdHthu8vz7MnL6MxmqvPcOGNTNSMgG7FMCgKhc81utbPQjF2Q81EajG6aheDNnBSZ9ZCiabUZQJZs4LgUZZdbYo6/5lQPDehLqdPuREBIkAEiMAdBOSuP1IBnZajUQTkXsBGmafJRIAIEIE6RuDalUtossRdlNWZ4TFo7+4tSaZZabHw2PKISLtsxgVY29hIEo9EzUeA590haXMfhN/twwyGzncqFIMmmQ8ORTKKgFw7nmpqWrN+ElQ5a9i0xMYPIuT9XTWVofFmJFB84xrsFzqLIp4acgCungFmdFGzUGnzusHvVgq9ntUMm2yjj86JhHeJcFRNTEAUIge+K5uf+wVOXvgYgm7o2DBNp3FQDa2+Je79tOh58xE4Fe0DV71QlE5QrURo75fNZ+AekY4l/oUuPz3FRhTrG8A+uoALb2SiZgTiPhyA8Mu/C68P7YdC9fqKmonUYvThf7Yj4HdhPVMXg1pArONTrl8tgt0H7rCx0lebqbbTOCjpvayOrwJKjwgQASIgEJC7/shNAX3r1q147rnnJFsb5aBPnjyJBx54QLIY9VFY7gVcH5lTzkSACBCBuxEoyD8JxzWBoqcvjTmKlo5OkkDLyz4K5y8iRdrXJuSgSbOWksQjUfMRiNu+GuEJk1nA4zYe6DwjyXwG7hGp6o66CVC+NJMLb2Ti/gTk2vF0f2fiEdqNM6A8sZw9mGwfgaDJwhfNNdWj8dITKDx7Cq1X+4sCFb6RitbtXKUPXssIVXY0e70H5YszaqlG06QmkD0rAB3LclkY3s+sr9Jy3n00VMMXSo2J9I0kcF7dEW1wkanwdN5vVqoOHlsfE2Won3kRVtbWRmZN081NoMoNNh5vQTVsnuQ20mP2wGfXQBbnir4RmkXnSx6XAlgOgcpHiVV2rnEeBtVrwmd0y8mMnBIBIkAEiEBtCMhdf+SmgG5tbQ1/f3/MnDnTpIX08qL5/PnzsX79ekydOrVCn35MR0DuBWy6TEiJCBABImD5BE5lHobrJnGr2puTz8DOvrEkyV04dxqtPvYTaReMPgxHJzdJ4pGo+Qjoti6BInUWC5jewA8+0zTmM3CPSEmLHkfwdcGLxkxf+HGRfB0wEffhQIRf3sMy0bQfAtXrq7jLTPv1HCgzhLOND9sFI2DKn9z5JEMCgereA4sn5cG+URNuMSUvfBRBN2KYP9pVxe2lqjCWr+4MJwi7bZO7r0VQrxe4NR2/5FmEXdkvvN66joBq5Efc+iVj/xK4GuWEplY3hM9gT3wHn8hHucCTeywZbl91F3m5NeUsGtrZc+GPTBhOoGpHpylQDBJunjVcqWYjM5P/gee2vmzSLb0tGkYX1kyERtdpAtqvoqE89uFdczTXcQN1GjIlRwSIABGwIAJy1x+5KaB7e3vj2LFjsLKygpubG1588UW89NJLFUX1mv5cu3YN27Ztw1dffYW9e/eitPxMWGtrbNiwoUKXfkxHQO4FbLpMSIkIEAEiYPkEjh86iM4/9GGJ3NbbwDaqQLJdIcXXr8J+kYsI3OmhB+HSqebv3ZZPv25loP1qFpTHlrCkUuxCEDjlDy6STFj8FEKv/sW8aNxGQvWq4JULk2TirgQSF/VByPWDwvXjdEekbssiKNLmMp9HGvjDd5rgmy4xfwSqfilvgwYSvgeagkDioicQcv0A978Ppsi1LmhcVjujOa6xVNJ6b4afSvjcxVuOVW9YMk+LZt44WJIffVkZ9NGtYH1H6+ITA39DpwAFF2mcyTmK9uvF3aeuvpuNps0duPBHJgwncGJWEDrdccZ0XOgChD/9huECtRyZcyQe7t/2Es2mI8BqCbOOTotf0g9hV/bdNbu4Zg8jfMIPdTR7SosIEAEiQAQqE5C7/shNAb2kpATLly/HggULUFBQUFFIL//p0qULlEolIiIiEBISgrZt28LBwaHi340bN3DhwgVcvHgRGRkZiI2NRUxMTMW/4uJi6PX/npfSp08fLFy4EAEB/J5/Z6m/GnIvYEvlRr6JABEgAlIQOKLbDd9fnmfSl9EEzdV5UoSq0Cz/kq8supXofLLjA3ajc6BSspgkbB4Cmi8mQ5W9mgVLbPwAQt7/xTzB7xOFCgJcXIZam0id1x3+t5LZfK33+1AOnlZrPakmxv6wDBGHhM5VGbZe8JoeK1U40jUBgdQDO+G/R7hZ+iKawUF9ygTK0knEL34GYVeFm5O0rq9COfLuu66kc0LK9yNQ/pmnNLo1bK3K2NDMfrvgGSTu/HM/HXM+H7N0MCIv7RJeb9u9AOUba81pgWLVkADvN6dWd1zUxbfS4dCmfQ0zpeFyE8iL7gJn/TlmI6nbGgQ/MlhyW6dPHIHLRvHfisXvn4Z946aSx6YAlkHgdLQXXPRnmdlTVk5w1Qtt/ulYJcu4juSSCBABImAqAnLXH7kpoP8HtHz3+Mcff4xVq1ZVnFle/vNfMd0Q6P8VzW1sbPDMM89g4sSJUCj4uFvXEP+WNkbuBWxpvMgvESACREBKAof2f4euf77KQpxFa7RTn5AyJK5EOaHZnW0m+2yFj0J8NqKkBkhcEgKaT8ZBlbeBafN0p3/MshcReXEn86Zt+zyUb34qCQcSNT2BY3PC0aXkGBOOCZqNyH7jTB/ISMW47WsQnjCJqZyw7ohOM4XCv5HyNF0CAkl7vkbwAWH3XJ5VOzhHZUgQyXSSdEOQ6VhKrcR7YbO6/HUrhkFR+CN7SufYH4ox66VGRfpGEOD9eKSiiwVosayzKMNzo5LQ1sXDiKxpqhwEitTOaHFHR43Ux76B/wNPSG7l3OkstP00WBSnaFwmWrRqI3lsCsA/gUsF+Wi50ltktKJl+x3vZem2vvCZruU/GXJIBIgAESACJiEgd/2RuwL6f1TLysqwZ88ebNmyBfv370d2dvZ9gTdq1AiRkZHo27dvRat2Z2fn+86hAcYRkHsBG+eeZhMBIkAE6haBhF/WI1T3NkvqpLULOsxMkzTJ8+qOaIOLLEZKz/UI7NFf0pgkLj0B7cejoDy3hQWKceiLyPFfSx/YgAi6lcOhKBDa9tE5eAZA42hIbrQv3PRCZ4wExVKE9hnOkcN/rcjxesodBAszZIk3PVTdITwYyjfWWBj5+mG38OwptF4tPqKm8I1UtG7nyi0A7aqRUJ7fKryXt3oKkeM2ceuXjAF5Welw3iDeAHL9vZNo3LQFF3gs8UYSLsBxZqK6jhrH+/+Czl0fkNxpdQXSgtEpcHTqIHlsCsA/gcobAm7oGyI1bLboptYcaze4zzzMfzLkkAgQASJABExCQO76I7cF9Mp0T58+jYMHD6Ic2Pnz5ytat9vb26NNmzYV/wIDAxEeHo4GDRqY5MKQiGEE5F7AhrmkUUSACBCB+kEgZtsKRCZPZ8kes/FElxnxkiafF+0F5ztarCU9uBrBjwotdCUNTuKSEYhZ9hIiL+5g+to2z0H51meSxauJsHb1aCjPfsOmxLbsg4i3N9dEgsbKSMBSbrpJ+v0bBP8zmpHKs2oL5yhh57yMCCn0XQhY4rn1uhVDoSj8iWWkcxwAxZjP6RpzSOBU5mG4bhK3a+e97TC9X3K4kO5jKStVB4+t4k5OPJ0PXVZaCuvZrURZ5AzaB3ffMMuDXY8dX79ahMaLxQXr00O1cOnkKzmV6mLnvRID547iXceSG6EAXBLQrJ8EVY5wI+GRBn64/eB76PrHCOb3PBzQRn3/TXZcJkimiAARIAJEoMYE5K4/WkwBvcZkaYJZCMi9gM2SJAUhAkSACFgIAd3m+VCkL2BuUxsGwn/qP5K6z54VgI5luSxGfMQShPUdKWlMEpeeQNyHAxB++XcWSOM8FKrXVkgf2IAImk/HQ3X6CzaSp/byBtiv90OuRbVDE6tixiG97/fwiXiEOy6H/vhe9GXdObRCW3UWdz7JkEBAs3EGVCeWsweSG0UiaNIerhHpVr0KxfnvmEddq6ehGPcl157rq7nM5APw3Ca0Ny7RW8MmqhBW1tbcIqlyHEvzRxD+7vfc+iVjQHrcXvjsEDo5XdfboXG0cE41D4xuR7VCA6tSZiWz3y54BolvLuHBJ3m4O4GCvBw4ftJVNODSmKNo6egkObaS27dgO1fcrj1n8J9w9xa3dZfcCAXgkkDSwt4IviG0Z9e2HQSHyBfgvaMf88vj6yKXMMkUESACRKCOEJC7/kgF9DqykORKQ+4FLFfeFJcIEAEiwCMBzYZpUGWtZNaSGykQNOk3Sa1mzg6FZ+lxFiM2eC4inh0jaUwSl55A4qI+CLl+kAXSuI+GavhC6QMbEKHyzoTEJt0QMlE4E90ACRoiE4Hqdq5lPf87PPwiZHJ097CpB3bCf4/QTeMimsFBfYo7n2RIIFD55pr4Zr0QNmEb14hohzDXl0dkLk3zC/x2v8Aeu4wmaK4WjqPgMRPNuvegyv2UWUto2h2h7/3Mo1Xy9P8EUv76CYH7hjIeBWgJR3UOV3yq3Aj35A/wCX+YK49k5t4Eco4mwf2bHqJBt6eeQ4OGdmZBV/kmDHO1jzdLchSk1gTKjxYonOUBR1xiGnFhi9DGS1Flvd6achYN7exrHYsmEgEiQASIgOUQkLv+SAV0y1krXDqVewFzCYVMEQEiQARkIqD57B2oTgmtX+Ob9UTYhB8ldXNkrgq+t4Vz1nV+06F4fqKkMUlcegIp83si8GYCC6Tt8i6UL0VJH9iACNqNM6C8c5epfQSCJgu75Q2QoCEyEbhSdAHNPvIQRc8fEQenDl1kcnT3sOmxv8Nn5wA24JreHk2iz3LnkwwJBHQrR0BRIOyutYTd3LRD2HJWcPK+zQj663VmOB+OcFILNxDymIn2i6lQZq9i1hIbP4CQ93/h0Sp5+n8Cib9tQsjBtxiP01bt4BKVwRWfi2pXOOAK85T66Nfwf7AvVx7JzL0JZCT8Aa/tz7BB5edMN4o+bzZsdBOG2VBbVKD83Ew4rRMfB3FqyAHYN20OxzWBolwuvJmGVm1dLCo/MksEiAARIAK1IyB3/ZEK6LW7bjTr/wnIvYDpQhABIkAEiIBAQPvxa1Ce+5Y9EOPQF5Hjv5YU0eH5PRBwM4nF0Hq9B+WLMySNSeLSE6hyY4T/DCiee0/6wAZE0H4zF8qji9jIw3bBCJjypwEzaYjcBM6dzkLbT8UtOovGZaJFK3ErT7l9lsfPTP4HntuEgsAtvQ0aRl/gwRp5uAuB2I+eR0TRbuH9yOklKEd/zDUv2iHM9eURmYvb+SnCY4X3wWxrN3SceZjrBLRfzoTy+DLmMZluOOP6epWbi9u+BuEJk5jPE9Yd0WlmMle+z6k90BbC++Gh/32Orv8TbjjjyiyZqZZAyl/bELjvFfacuTsdXFS7wQGXWXy6CYMWajmBhF+/QKh2PINRVN7pZeYp3Lx5A/YLnUWQcof8AzdPcVGdKBIBIkAEiEDdJCB3/ZEK6HVzXZktK7kXsNkSpUBEwAIIlO9YaBKzDNcbtobTCyu43NFnARgt2mLMspcQeXEHy0Hb9nko3xRad0qRXOVzyjQeY6AaNleKUKRpRgLHZ4egc+kJFjE2ZD4innnTjA7uHkq3dTEUqbPZgPQGfvCZpuHCG5m4N4Gc9AS4b+4pGlQy7TxsGzTkDl32kTh0/FbckrZsxgVY29hw55UM/UsgcdETCLl+gOHg6eiJu10j2iFsOas35rsPEXk4mhk+ausN7+kxXCeg/XoOlBkfMI90wxnXl6vCnCV8xsmL9oKzXujIkvTgagQ/Khx5wj9lcli5UJlr5Qy3qCNmA3NW3QntUMjiHeqxDl17DjRbfArEJwHN2rFQndkorAv7MHSdvK/i/29GOcLO6jZ7LuPp7fAKFR9DwGdW5IoIEAEiQASMJSB3/ZEK6MZewXo+X+4FXM/xU/pEgBG4cO40Gq8Kgv3//1GR1FiF4Pd/JUL1jED8kn4Iu/LvH5nlPxqX4VCNWiophYTFTyH06l9CTLeRUL26RNKYJC49gdxoX7jphbNdE5TLEPq4sFNFegd3jxD740pEJE1jA47ZeKLLjHg5LVFsAwnI3TLUQJsVw3IzU+C2qZtoys3JZ2Bn37gmMjTWjAQssSOKdlMUlJnC+/Qh+wh0pSMpzLhqDA+l/SoaymMfsgkpdiEInPKH4QIyjNRtWQRFmnBTY1qDAPhNE24ykcEShbwPAe0mNZSZH92xzkIROGU/V9xyZvnDvewU8xQfuRRhTwznyiOZuTeB2B+WIeLQTOGztG0XdJkeZzZsp6K94arPZ/ESH1iFkMeGmC0+BeKTQOq87vC/JXTcuPO7jAK1u+hs9JReXyCwez8+EyFXRIAIEAEiYFICctcfqYBu0stZ/8TkXsD1jzhlTASqJ1D5vLxLaIqW6tOEq54RkGM3eNyHAxF+eQ8jrWk/BKrXhfM269klqDPpVmnPydHOkPidnyEsdgJjnW3dAR1nptQZ9nU5kZS/fkLgvqEsxUK0QGv1SS5Tzj95DE6fh4u8XXknC81atOLSL5kCMuZEwKtEOCs4tussRPQXWoHyyIiOpODxqlTvSfP5RKhOfsKeTGjyEEInCl1/eMwk5vuliEyJYtYsYdc8jxzN6Unz+ftQnVzLQiY26YaQiTvNaeG+sSp3KYoLXYDwp9+47zwawA8B7dezocxYzAyZuztF9qxAdCwTPv/FRyxBWN+R/AAiJ2YnUFZaiuuzXNDU6obw+nfHjRUnZ/mhQ5nw/RbduGP2S0QBiQARIAKyEZC7/kgFdNkufd0ILPcCrhsUKQsiYDyByi0ai/UNYB9dYLwwKVgUgdR5D8H/1iHmWeczGYoXpkiaQ8zyIYi88LMQs81AKN5aJ2lMEpeeQJHaGS1wjQVK670Zfqo+0gc2IELlG4ZOWTnBNeqoATNpiNwEEnZ/iVDNGGbjlFV7uEaly22r2vgF+blwXBMgeu7Cm2lo1daFS79kCqj85WqCYilC+/C9K1K35QMo0uawy3ekgT98px2ky8khAe3q0VCe/YY5i23xOCLe+ZZDp4Kl2B9XISJpKnsg06YzPGckcO25vpvTrnkTyvyv7lhnjyHina1cYTk6JxLeJcLnrphANSIHvMOVRzJzbwJVbtRo/CBC3t9lNmzHZoehS2kmixcTNAeR/caaLT4F4o9Adcc8Fbx2CI7O7hVmq7zuBEQhcuC7/CVCjogAESACRMDkBOSuP1IB3eSXtH4Jyr2A6xdtypYI3J2A9uPXoDwn/hKvdHohbGxtCVs9InBsTji6lBwz65cRulWvQnH+OyFmq6cQOW5TPaJeN1O9FdUaDa1KWHLHnt2BLsEPcZHsof3foeufrzIvZ9Ea7dTCee1cmCQT1RKwpGJO0cUCtFjWWZTH2ZEJaOcqfowuNT8Ezqs7og0uMkMpPdcjsEd/fgxW46RyG90MWy94TY/l2nN9Nadb/jIUF7az9HWOA6AY8znXOOJ2forw2PeYxyxrd3jMFG605Np8PTWnWzEMisIfhXXW+lkoxm7gikbavG7wuyV0/tH5ToFi0GSuPJKZexPQrH0LqjPC32txzR9F+LvC33NS8zsy9wH43k4V1rnfdCienyh1WNLnmEDlvxHOoRXaqrOY40MLHkbXYuGYAW3n8VC+PIvjjMgaESACRIAImIqA3PVHKqCb6krWUx25F3A9xU5pE4EqBBIXPYGQ6+IzDa++m42mzR2IVj0iUPlMQnPsvqv8BUxsC/52ytSjJWCSVEtu34Lt3DYirZwX9sPdJ9Qk+saKHD7wMwL2COckXkRzOKhzjZWl+a3H1scAACAASURBVGYgoNs8H4r0BSxSWsNA+E39xwyRax6i+PpV2C8S7zY/PfQgXDr511yMZpiFwPWotmhsdZPFSn/yB/iEP2yW2LUNErd9NcIThMLTcZtO6DwjsbZyNE9CAvFL+iHsyj4WQeM8DKrXlksY0XjpxN0bEKIZx4RyrZzhFnXEeGFSkIxA7EfPI6JoN9PXOr0E5eiPJYtXG+GU+T0ReFPoZKDt8i6ULwlHBdRGk+aYl4Bu5XAoCn5gQXWtn4Fi7EazmUiZ/z8E3hTe67RdJkD5knAmu9mMUCBuCOhWjoCi4Hvmp/LxFfFLnkXYlf3Ce7DLK1CNWsaNfzJCBIgAESAC0hGQu/7IfQF948Z/P8R5e3tDoVBIdyVIuVYE5F7AtTJNk4hAHSRQ+Sy68hQLRh+Go5NbHcyWUrobgbPqTmiHQvZ0co/PENTzOUmBadZNgCr3MxYjoWl3hL4ntHSXNDiJS0LgStEFNPvIQ6SdPyIOTh26SBKvpqLpsb/DZ+cANu2qvhGaRufXVIbGy0BAs2EqVFmrWOSkRkoETxIKBTJYumvI0pIS2MxpLXqepxtJeGLFg5dqr9egfXD3DePB3l09xO9ah7AYoQVptrUbOs48zLXn+moueeFjCLqhY+lrPN6Catg8rnEk7d2M4L9fZx7zrNrCOUroVMS1+XpqLuGDJxF67W9hnXV4DaoRH3BFI2lhbwTf0FrU7wJXADkwE7v0BURc+oU50bYbDOUba8zmLGnR4wi+rqE1ZDbifAcq/wyXP9cPLvqzd10TuhVDoSj8iT2vc+wPxZj1fCdG7ogAESACRMAkBOSuP3JfQLe2toaVlRW++eYbPP/88yaBTiKmIyD3AjZdJqREBCybwGW1M5rfcV5xeTanh2rh0snXshMj9zUiUHkdpD3+LfyUj9dIo6aDNRumQZW1kk3juSBW09zq6/iC/JNwXBMoSv/iW+lwaNOeCySZyQfgue0J5uWW3gYNoy9w4Y1M3JuA5pNxUOUJrWjjmj2M8AnCDije+JVEOcDWqozZOt7/F3Tu+gBvNskPAEttuZ/42yaEHHyLXcNTVu3hGpVO15RDAlXaVvtMhuKFKRw6FSwd+uN7dP1jBHugcktcrs3XU3OHFvRC1+J4lr3W820oh0RzRSNh8VMIvfoX86RxGwXVq4u58khm7k0gYfHTCL36p7DOXF+FcuSHZsMmd3yzJUqBDCJQ+Wav8kmVuwhp1o6F6ozQJSGu+SMIf1fYsW5QIBpEBIgAESACFklA7voj9wV0BwcHXL58GXFxcQgJCbHIi1yXTcu9gOsyW8qNCBhKoLovjcvnZj3/Ozz8IgyVoXEWTkBfVoaSaEc0sCplmWT22wXPoAclzUz79WwoM4QvzQ7bBSNgivCFjKTBSVwSAqdPpMJlo7hIWPz+adg3bipJvJqK5hyJh/u3vUTTymZcgLWNTU2laLyZCVRpGdrqaSjGfWlmF4aHq9wS/OiT2+AdLl57hqvRSCkJ5OdmwmmdeLf55bdPoHlLcRcBKT3URjt532YE/SXsED6DNmivzqyNFM2RmEDm7FB4lh5nUWKD5yLi2TESRzVOvvKRJxfQHK3oyBPjoEo8+8hcFXxvp7EoOg7Pho77cADCL//OPGraD4Xq9RUSkyF5UxJIXvgogm7ECNew0ziohs42ZYh7alnCUQVmg0GBULmlf6ZNZ3SeFgcra2thjVa6aT+5USSCJu0hekSACBABIlAPCMhdf+S+gB4aGork5GTs2bMHvXrRF1a8/U7IvYB540F+iIAcBI6naNH5+95VQtMX/XJcDfli3iy+DrsF4h3CuUP+gZuneCexqR3qtnwARdocJnukgR98pwkt+Uwdj/SkJ5CVqoPH1sdEgfQzL4q+xJDexd0jnD5xBC4blaIBPBX45WTDe2xL+8K0SO2MFnd0d0nrvRl+qj68Y66X/rKPxKHjt+LzzkunF8LG1pZrHil/bUPgvleYx/NwQBt1Ntee66u5U9E+cNWfYeknqpYjpPcwrnGk636Dzy/CUT6X0RjN1UIOXJuvp+aOzw5G59Isln1c6AKEP/0GVzRilg5G5KVdzJO27SAo3/yEK49k5t4EUud1g/+tFDZIZ+aOGrrlL0NxYbsQ33EAFGM+p8tWDwlUd2N0TNAcRPYbK6JB3znUw8VBKRMBIkAE/p+A3PVH7gvos2fPRlRUFMaPH4+PPvqIFg5nBORewJzhIDtEQBYCldt//mfi8KObEPDgU7J4oqDmJ1BUeBYtVniJAhe8dgiOzu6Smon9cSUikqaxGOV3jHvOSJA0JolLS+Bo3D547+jHglzX26Fx9Dlpg9ZA/dzpLLT9NFg0o2hcJlq0alMDFRoqB4HED/oi5No/LLSmw+tQjVgkhxWDYhao3eGIS2xsSq8vENhd+N0wSIQGmYVAeuzv8Nk5gMW6prdHk2jhLE2zmKhFkNSDu+D/22A28yKawUF9qhZKNEVqApb4epCR8Ae8tj/D0NzQN0Sj6PNSoyJ9IwicivaGqz6fKSSoViK098tGKJp+qm7FMCgKf2TCutbPQjFWOJ7F9BFJ0dQEjs0OQ5dSodtJTNBsRPYbZ+owd9XTfjwKynNb2PMxDn0ROf5rs8WnQPwQqPx6chHN0WhSOuwbNRGZjNvxCcLjJrLHsq07oONM4SYQfjIiJ0SACBABImBqAnLXH7kvoJe3bw8KCsKZM2ewa9cu2oVu6hVopJ7cC9hI+zSdCNQJAtqv50CZ8UGVXJIeWovgh1+oEzlSEvcnkH/yGJw+DxcNvPpuNpo2d7j/ZCNGxO/8DGGxE+74Y9YNHWceNkKRpspN4PA/2xHwu/BlLW8tXy8V5KPlSm8RpoLRKXB06iA3Oop/HwKH5/dAwM0kNkrbZQKUL83kllu+2hNOEIpNyd3XIqgXva/yeMEs9aznyoX/q/pGaBotFM94ZF1fPVU+0qHy+aw8cjl+6CA6/yB0zbitt0GD6As8WiVP/0/AEm7U0K5+Hcqzm9k1i2n5BCLf/oauoQURyJnlD/cy4Wat+MgPEfbEq2bLgM6zNhtqrgMVXTiPBsv80djqJvOpcRkO1ailVXwn79+KoD9HssfPoRXaqoVuHVwnSuaIABEgAkTAKAJy1x+5L6CX083MzMTAgQORmpqK4cOH48UXX0TXrl1Rfj66lZWVUReAJhtHQO4FbJx7mk0E6gaByl9i/JdVfMQShPUV/sioG9lSFncjUF37M3O0r03a8zWCDwitJU9btYNLVAZdKAsmkLR3M4L/5vdM3mtXLqHJEnFnhbxXYuDcUVxUt+BLUGetZ8yJgFeJ8PoQExiNyAFvc5tvbrQv3PR5zJ8ltGzmFqbExuJ3rUdYjLCWcqxd4T4zVeKoxssfS/obXX58kgnd1DeAXXSB8cKkYFICpSUlsJnTWqSZM2gf3H3DTBrH1GLVfTYsm3EB1jY2pg5FeiYicC2qHZpYFTO19L7fwyfiEROpm0ZG88lYqPI2MrG45o8g/N3vTSNOKmYhkK/uDCcI7zXJ3T9FUK/nzRK7PIjm84lQnRTa/ic0eQihE3eYLT4F4oOAdlMUlJlCsbz8Jq+Lr8WjrYtHFYOVbzjkrUMaH0TJBREgAkSgbhKQu/7IfQHd5o4/7vR6fY0K5uXF9ZKSkrq5cjjJSu4FzAkGskEEZCVQuSXuf2bM3YpNVggUHJXbdJrrj8qUP39A4P7h7ArQ+a2Wvxh57ypQcvsWbOeK27WffPFPdPASt3W3/CtR9zKQe8dTTYlmzeoKj7IcoUgQ/gHCn3ytpjI03gwEYr5fisiUKBYpw9YLXtNjzRDZuBBZqTp4bH2MiZTprWAVdQFW1tbGCdNskxK4fKkQzZd2EmnmvxoPJzdPk8YxtdipzMNw3fSgSPbm5DOws29s6lCkZwIC+rIy6KNbwdpKz9RODPwNnQIUJlA3nYRm3XtQ5X7KBBOadEfoxJ9NF4CUJCdwSe2ClrjK4qQ+9g38H3hC8rj/BdBsnAHVieUsXnKjSARN2mO2+BRIfgLlN6adm+OD9nd0eopv1gthE7ZVay4nPQHum3uKnrs99RwaNLSTPxlyQASIABEgApISkLv+yH0B3dqILw/KC+ilpaWSXsD6Li73Aq7v/Cl/IlBOIHN2KDxLj1eBofOZDMULUwhSPSFQue12IVqgtfqk5NmnaX+F36+DWJwiNEELtbBjU3IDFMDkBGK2LUdk8gyme8y2C7pMjzN5HGMES6IcYGtVxiSOD9iNzoFKYyRprhkInFN7oC2E9sGHeqxD154DzRC5diGqnhE6B5H9xtZOjGZJSkD71Swojy1hMVLsQhA45Q9JY5pC/GRGEjp83UMkVTLtPGwbNDSFPGmYiEB+biac1ol3mxeNP44WDo4miiCNzJmco2i/PlIkbo7jfaTJpu6r3rh2BY0+cBUlenqoFi6dfLlKXrNhKlRZq5inpEZKBE/azZVHMnNvAjejHGFndVv4rP/Mz+gS0t1s2LTfzIXy6CIWL7VhEPyn/mW2+BRIfgKJv21CyMG3REbu1XGjIC8Hjp90FY2/+FY6HNq0lz8ZckAEiAARIAKSEpC7/sh9AT06OtqoCxAVJexEMEqIJldLQO4FTJeFCBABoEjtjBa4VgWFttM4KIfOJkT1hIBcrdQzEv6E1/anGeVifQPYU/tZi151us3zoUhfcMeXWoHwn/oPVzlVPov26JPb4B3eiyuPZKYqgStRTmhmdYM9kd5nK3wUwu5b3pilz1XB53Yas6XznwHFc+/xZpP8VLSDfR+qk2sZi8Qm3RAycSf3bPKy0uG8Qby79MbEU2jUpBn33uuTwepaoVvCjQ7VFRyKxmagRet29enyWUyuhWdPofVqf5HfwjdS0bqduKgud0Lar6KhPPYhs5FiF4rAKfvltkXxDSRQ7ZEUL+yHu0+ogQrGD9NtXQJF6izh86CtL3yma40XJgWLIZA6rzv8byUzv+U3bHtOjblrB57i61dhv8hFlN+pIQfg6hlgMTmTUSJABIgAEagdAbnrj9wX0GuHlWaZi4DcC9hceVIcIsArgepaSv7nVeM2EqpXhd1YvOZAvkxDIO7ntQiPf5+JnbDuiE4zhT9KTROlqkrl9rPlI/QzL1L7WamAm0FXu3EGlHe2VbSPQNDk380Q2fAQlVtPpvXeDD9VH8MFaKTZCVhKa9o7waTOewj+tw6xh7Tek6AcPNXs7Cjg/QloV4+G8uw3bGBsi8cR8c63958o84hzp7PQ9lPx8ROWsLNZZmxmD380bh+8d/RjcW/oG6JR9Hmz+6hpwEsF+Wi50ls0rWB0ChydOtRUisabgcDpE0fgslHcTef6eyfRuGkLM0Q3PITu24VQHJnHJqQ1DIQfZzdaGp5N/Rt5pegCmn0kPmM6f0QcnDp0MRuM2J8+RkSi0CnvuE0ndJ6RaLb4FEheAicO69DpO/ENtLEh8xHxzJt3NVb+d8Tt6DZoaCUc03rMzJ0T5KVG0YkAESAC9ZeA3PVHKqDX37VnkszlXsAmSYJEiIAFE6juj4//0tE6vQTl6I8tODuyXhMCct3JX935msWT8mDfqElN7NNYjgho1k2AKvcz5iihaXeEvsfX2Zbn1R3RBheZx5Se6xHYoz9HFMlKZQLXrlxCkyXuoofzXomBc0dxcYcncocWPIyuxcLxBVrPt6EcYlx3LJ7yq0teYpYPQeQF4XVK12YgFG+t4z7FC+dOo9XHfiKfPO445R6kxAZT/voJgfuGsijmOibH2LSuXr6Iph92FMmYu1BmbA71aX7lm1LL9FbAzEJY29hwhSHm+6WITBE6PWbYesFreixXHsnM3QlU15ni0pijaOnoZDZsCb+sR6jubRYvx9oV7jNTzRafAslLIGbZS4i8uEP0ntp0cjrs7Bvf01ihugNao0j4+6/XRgR2f0beZCg6ESACRIAISE5A7vojFdAlv8R1O4DcC7hu06XsiMD9CVRu233nDF3rZ6EYu+H+IjSiThCQq53i2VPH0e4zccs/2j1n2UtKu+ZNKPO/YknEtuiNiHe2cJVUXrQXnPVnmaekbmsQ/MhgrjySGTEBHr6wrek1SVzUByHXD7Jpmo5vQPWKcLxBTfVovHQE4pc8i7ArQgthjctwqEYtlS6giZSr6yR0dmQC2rl2NlEEkjEFgYTdXyJUM4ZJnbJygmvUUVNIS6pRfOMa7Bc6i2JQy1tJkRslnh77O3x2DmAa1/T2aBItfNYxStyEk+O2r0Z4wmSmeNzGA51nJJkwAklJSYCHm5+T9m5G8N+vszTPoA3aqzOlTJu0OSFQ3hnFfkUA7K1uC5+vDeycmBvtCzd9HpuXoFiK0D7DOcmMbBABIkAEiIBUBOSuP1pUAb2srAx//PEHNBoN8vPzcf36dcyZMwft27dn1+fWrVsoKSmBjY0N7OzspLpupPv/BORewHQhiEB9J6D9Zi6URxdVi4HHold9v15S5i/X+a/UHlTKqyqPtm7FMCgKf2TBebwZJ2dWANzLcpnH+MilCHuCvkCRZ8UYFvVkRhI6fN1DNPjWlLNoaGdvmIAMoxIWP43Qq3+yyFrXV6EcKZz7KoMlCnkXAskLHkFQsbADUttpHJRDZ3PPq7ozPU8P1cKlky/33uuTwdgfVyEiSTi+wVLaDfNw1nF9WifG5pry1zYE7nuFyRSgJRzVOcbKmnx+/K71CIuh3cMmB2smweOHDqLzD8KxR6V6K1hHXTDr8VuH//4JAXuFrh68rnUzXZJ6FUazcQZUdxwVdktvg8uvJ8LRWdylqjooGXMi4FWSwZ6KCVQjcsA79YofJUsEiAARqI8E5K4/WkwBfefOnRg3bhyys7NF6yQlJQV+fkLbu9WrV2PMmDFo2rQp8vLy0KQJtZCV8hdL7gUsZW6kTQQsgYB29etQnt1crVUe2y5bAlNL9Vh11/BjiHhnq+TpXL9ahMaLxWdp5g3TwdnDR/LYFEAaArEfDUJE0a9MXNtuMJRvrJEmWC1Vj88OQefSE2z2/c7Nq2UYmmZCAscS/0KXn55iijf1DWAXXWDCCKaXivtwIMIv72HCmvZDoHp9lekDkaLRBI7MVcH3dhrT0flNh+L5iUbrSi1QbYFz8J9w9xafiy61D9K/NwHdtwugODKfDUprEAC/aQcsAltJlANsrcqY1+MDdqNzoPicbYtIpB6YTPxtE0IOvsUy5bXTQeUOaHlW7eAcJRS16sGlsugU03W/weeX51gOV/WN0DQ636w5VfZwRd8IzczswawJU7AKAuXnmJ+d1QVOED7/xzV/BOHvfm8QoUMLeqFrcTwbS0crGYSNBhEBIkAELJ6A3PVHiyigf/bZZ3j99deh1+srLrijoyMKCgpgZWWFygX08h3o5TvSL126hA0bNmDIkCEWv0h4TkDuBcwzG/JGBMxBIPGDvgi59k+1oZLtIxA0+Xdz2KAYHBCQa9cw7W7i4OKb2IIl7Lo9OkcB75J0ljntQDDxIpBA7vCBnxGwR/hcfhHN4aAWughIENJoyZilgxF5aZfwRV3bQVC++YnRuiRgegJZs4LgUSbcaB0XuhDhT482fSAJFEujWsLG6t+/c8t/sp77DR7+CgkikWRtCWg2TIMqayWbntxIgaBJv9VWzqzzbkS1QSOrWyxmxtPb4RUq7gZiVkMU7K4ELKU1esqfPyBwv9D15zwc0EYt3uhCl5lfAjxcv8zkf+C5rS+DdEtvi4bRhfxCI2cmIZCXfRTOX0SKtI4+uQ3e4b0M0o9f/AzCrv7BxlrKcT0GJUeDiAARIAJE4K4E5K4/cl9Az8zMhL+/f0Vb9p49e2LlypXw8fGBtbV1tQX0ctKvvfYayovu5cXzjRs30vKTkIDcC1jC1EiaCFgEgczZofAsPV6t19SGgfCfWn1x3SKSI5M1IhD70fOIKNrN5midXoJy9Mc10qjt4FtRrdDQqpRNz+y3E55B3WorR/NkJpC88FEE3YgRvpzoNA4qzlohp87rBv9bKcyjzmcyFC9MkZkchb8Xgco76yxhx5pcNybRSqo5gbzoLnDWn2MTk7qtQfAjg2suJMOMm1GOsLvjLNBjz+5Al+CHZHBCIe9GQPPpeKhOf8Gejm/WC2ETtlkEsCtRTmhmdYN5TX/iO/hEPmoR3uubSd2WD6BImyNcqwZ+8Jmm4Q5D6sFd8P9NeH29hKZoqT7NnU8yVD2BhN1fIlQzhj15yqo9XKOEm1LNwS3nSDzcvxUXTUunF8LG1tYc4SmGTAQq3zhxW28D26gCg48P0C1/GYoL24W//xz7QzFmvUzZUFgiQASIABEwFwG564/cF9DL27F//PHHCAgIQFxcHBo2bFhxbe5VQP/yyy8xbNiwijmHDh0y17Wsl3HkXsD1EjolTQTuIHBJ7YKWuFotk2O2XdBlehzxqicEEj54EqHX/mbZajq8DtWIRWbJ/mqUE5rSl7NmYW2OIKnzHoL/LeHzk9Z7EpSDhbNfzeHhfjEOLXgYXYuF1zet5ztQDlHfbxo9LyMBS9lZdyci7cevQXnuW/ZQTMsnEPn2NzJSpNB3I1D581DqY9/A/4EnLAJYlffQvt/DJ+IRi/BeX0zqVr0KxfnvhNeCVk8hctwmi0j/otoNDrjMvKY++jX8HxR2flpEEvXEpHaTGsrMj1i2h+zD0HXyPu6yT4/bC58d/Zmv63o7NI4WbmDizjAZEhHg4fNYXlY6nDeIO63cmHgKjZo0o6tVhwlU7UbVDA7qUwZnXPnIurjmjyL8XeG92WAhGkgEiAARIAIWRUDu+iP3BXRfX19kZGTg008/xYgRI9jFvVcB/eDBg+jWrRuaN29e0cqdfqQjIPcCli4zUiYC/BO4UnQBzT7yuKvRbGs3dJx5mP9EyKFJCFQ5E6zLu1C+FGUS7fuJFKo7oDWK2LDDD29EwEPP3G8aPc8pgYw5EfAqEc6yjO06CxH9x3PlNnFRH4RcP8g8aTq+AdUrC7jySGbEBHTfLoTiyDz24JEG/vCdJlxDHnlp1o6F6ozQzaom5zTymE9d9VR+pmZJtCMaiDqh7IJn0IMWkfJFtSsccIV5taTiv0UANoHJ2I8GIaLoV6akbTcYyjfWmEBZeolzag+0xQUWKKXnegT2EIqf0jugCIYS0Hw+EaqTwjEhCU0eQujEHYZON9u4zOQD8Nwm3KBUvou0QbSwxsxmhALVioBu62IoUmezuekydDooyMuB4yddRf4vjTmKlo5OtcqJJlkGgardD5zgGnXUYPPaL6ZCmb2KjU9qpETwJKEDn8FCNJAIEAEiQAQsioDc9UfuC+hNmzbFjRs3EBsbi9DQUHZx71VAT05ORkhICGxtbVF+Jjr9SEdA7gUsXWakTAT4J5CVqoPH1sfuavQM2qC9OpP/RMihSQikz1XB53Ya09L5z4TiuQkm0b6fSL7aE044z4Yld1+LoF4v3G8aPc8pgexZgehYdpK5i4tYjPC+o7hyW+UMPNcRUI0Udm1xZZbMVBDQbJwB1YnlwutEo0gETdrDNR3NuglQ5X7GPCY07Y7Q937m2nN9NFd8/SrsF7mIUj899CBcOvlbBI7z6o5og4vMa0qvLxDYvZ9FeK8vJqt0+XEbBdWriy0i/SrHGzy0FsEP02c0Hi9e5d2VsS0eQ8Q7W7mzmpOeAPfNPUW+qP02d5fproa0X0VDeexD4T3HLhSBU/abNYGiiwVosayzKOa5UUlo63L3zQFmNUjBJCEQs20FIpOnM+1Mm87wnJFgcCxLvBnX4ORoIBEgAkSACNyVgNz1R+4L6M2aNcP169cRExODsLAwBvJeBfTff/8djz32GFq1aoWCggJafhISkHsBS5gaSRMB7gkk/f4Ngv8ZfVefF9EcDupc7vMgg6YhcGJWEDqVZTOxuLBFCH/qddOI30fl5Cw/dCgTzj5MUC5D6OOvmCU2BTE9AUs4Szj2o+cRUSTsONA6vQTl6I9ND4MUTUZA8+nbUJ0WzimMb9YTYRN+NJm+FEKaLyZDlb2aSSc2fgAh7/8iRSjSNIJAQX4uHNcEiBQuvJmGVm3FRXUjQkg69YzaE+3pJjRJGRsrnjK/JwJvCl/yW9KxIbnRvnDT5zEECaqVCO39srFIaL4EBHQrhkFRKLwv6lo/C8XYDRJEMk7y9IkjcNmoFIlQ+23jmJpztmb9JKhyhA4aiY0fRMj7u8xpAcU3rsF+obMo5qkhB+DqKX4vN6spCiY5Ae3Xs6HMEG4+O2wXjIApfxocN+7ntQiPf5+Nz7J2h8dMOrbVYIA0kAgQASJgoQTkrj9yX0D39vZGZmYmNm3ahMGDB7PLfK8C+owZMzB37tyKHevl56bTj3QE5F7A0mVGykSAfwLab+ZBeXQhM3pLb4uGViXs/+k8Ov6voSkdno72gov+LJNMenA1gh990ZQh7qp1fHYwOpdmsefjQhcg/Ok3zBKbgpiegCW05I9ZPgSRF4SdwLo2A6F4a53pYZCiyQhUOUPY4UlEjv/KZPpSCGk3RUGZuZRJH7IPR9fJe6UIRZpGEMjNTIHbpm4ihZuTz8DO/v/YOw+oqI7vj38XEXsDREUQUVCadNhdjVETE2NN7JpiolFjbDH22FjsscQUezTNFEvUxET9RRMT6+7SEVAQFLEgImLHRvmft/yZx1tAF3j7Csw7JydHdube73xmdvftuzP31q2EVeG60gCncKwr6ilpsRLtcxNJdyGz/FRUc1E/46wykUGrEdB7dGXN0v5mIBC+ZjCC7hwilqW6OTDzairsvvblELgzOQWNrJuagQo1yTcB7aYJUF/7kf3d1rA7Aqfu5tvNM+0xpVcUC5tw2qQO+RvOHkGC6qDOhCVgXKYiut4L8Jux32QRsUd2wucYmxXtOmzQTHPB5P60ISVACVAClIA8CYgdf5R8AH3MmDHYunUrevfujT/+YB+UlhVAZ06ce3h44ObNm5g2bRpWrFghz5UhE9ViL2CZYKIyB2RR1gAAIABJREFUKQGzENBtGAfV9V+I7VSL1nAudgKZeSF/fjYsatQwi39qVFoESgQ9u2+D1wv9BBFp/GA5rIMGwQM/FsQ3dcI/gZwQO9RVPCaGE3vvhltQd/4dVcJiiWCsdV8ET2YfBlbCNO1qJgLhnw9D0G329LYcaggbb1RLsPKG55zjZiJEzVaUQErsCbjs7U26PymoASsZ1eOlAc6Kzrxw/UqUNglcicA+Y4UTUAlPKYv84ZJ3nlgI91uGoNfHV8Ii7WouAtEre8PvwQliXttqLNSjVprLXYXt3rpxDU3WuXH6Z42Lg23zVhW2STsKR0C/diSUWXuIQ711PygnbxNOwP97ehRii9qKp8TvuX770M6/i+A6qEPhCOjWj4UqcwdxGNa4F4KnsM+znqckMeww3A4MIs0eFNRGvVD2AMHz+tPXKQFKgBKgBORJQOz4o+QD6Eztc6VSCYVCgS1btmDkyJGGmS4tgM7AHDBggOHUOVP//MyZM3BxcZHnypCJarEXsEwwUZmUgFkIGNdjNKTDvcetX0bT6ZkFvSSNGgc9k/rsRfvAlwTRmrC0MzyfsOnTdO1nQTV8jiC+qRN+CTAnQgpCrWGhKCCGLww6hDZeSn4dVdKaXOqEVnKYVap71Mq+8H9wjIxJK4Mawvpdq6FMWEg0J1q6w22erkrNS1UYTMLJ/fA8zGZcuYUGaKK5Ipuh0QCn9KcqQ+OC5sXS7MfIqI540uJgtM9NIpDDOoQieOAU6UOvhgpPL38J3o8iycilWirg/t1bqP9Za84MXRsZhhZO7avhrMlvyCU3NA6D6sNNgg/kjsYejfCA+D3TYzs81D0F10EdCkcg7PPhCL7NlgvQ2Q2FavxmkwWknY2E0w7u843cuTdgWdPKZBu0ISVACVAClID8CIgdf5R8AJ2Z0vHjx2Pjxo2GIDoTIB88eDCGDRtm+PdPP/1k+P+hQ4ewfft2PHr0yLAKZs6ciWXLlslvRchMsdgLWGa4qFxKgFcCxg9ctU7jOPXMGGdyqgHKK5xqZiwvNxc1FttwRn1x6D9o7R4oCInTy7vD+1E4+8Cv7UdQvcMGnQQRQZ3wQkAuNQm1W6dDfflrMuaoei/CfwabqYgXGNQIrwTkWEM4/Le1CIqZSzgk13CB63w2uMErIGqswgRiDv8M35Ns2ZB0RTPYh5yrsD2hO9IAp9DEy+9PzoGes0s6wv1pAhm03mMelENmlB8C7WF2AolL1HB7eoadK8/5UA6ebna/5XXw9Mlj1Fxqx+l2+a1jcHT1Ka8p2l4EAlGr+sH/Plt3WufwPlSjPxNcyQ1NazTFLeI3rtu36NBlgOA6qEPhCFQ2y8aN9Itoupn7OXN7YhIa2zYXbhDUEyVACVAClIDgBMSOP8oigJ6Xl4dRo0Zh27ZthmB5WVdBQeFpqffee8+Q9v1ZbQWf6SrqUOwFXEWx0mFRAiYRuKVxQBPcI22jVF/AX/cRpy89DWASStk3EvskSMkfwx9APYqWUJHjwrqdlYHGa7kniLLGnoatvZOkhqP7YT5UF74kmmLrBMNn1mFJaaRiuARKlHrwCkHwoKmSxhTx52YERrCBplQLJzgvYLNtSFp8NRIXsW8DAqNmkxGfr+GMtvNjZEPgzJJO8HgaT/TqPeZCOWSmbPRXdaFMZpbcUFvUVOSRoab0PwAXn06yGHr8si7wesy+H3TtZ0I1nN0YJItBVBORFxb6oE2xclwR/ssR2I/dHCQVDHLJViQVXlLTEfvpK/B5GEZkadtMhnrEIsFlXg1th5YFbPrt6I7r4Pfq24LroA6FI1Di+6jddKjenG+ygIcP7qHOSgdO+6sjTqFlG0+TbdCGlAAlQAlQAvIjIHb8URYB9KJp3b17t+FUeVRUVKkzzdQ+nzdvnuF0Or2EISD2AhZmlNQLJSA9AqUFTNOG/Qun7d04YtOGHoGTe4D0BkAV8UogKz0Ntpu9OTaF3I0dsXoAAu/9wz6IsX8X6rFscJPXwVJjZiWQcTkFzbdyPzPuTrmAho25GQ7MKsIE47Q2tQmQJNakRA3hoFUI7D1GYiq5cqL/+h5+2snkj5cV9nAMOStpzdVRnH7Hp1CeXUqGfqamFzzmnpQNipIPlGdA9eY82eiv6kLlkpmlrHkokSXIZQpUb4dW9WmT5fiuhLaHQ0EG0S7lgCKtXy3LJWYQnbD0BXg+iSMD0LvNhnLYJ4IP6OJCL7TOv0z8RgatRkDv0YLroA6FI2CcQTHMZzGC+08yWQCzeedpqC2sim1oS37jT7j6djbZBm1ICVAClAAlID8CYscfZRVAL5re9PR0Q53zzMxMMKfTbWxs4Ofnh7Zt28pvBchcsdgLWOb4qHxKoMIEUs+Ew3lnd07/RzOvQvFpa9RSPCV/P9dvH9r5d6mwH9pRHgSupMTD4UfuSajHs6+hVu26ggygRD2zZuLU0hNksFXcSVpSDJx+4X5mPJ2TiZpWtSQ18rDdnyM4LoT9rLNsh3bz2DICkhJLxRgIZGjaojmyCI3YFzfB5yVpb3qNPbIdPsc+IJoz0BTNNSl0RiVGQPv9XKhT17Jrq44SPrMOSUxl2XJil3eHDy2DItn5ys68Cuv1Hhx9WePiYdvcUbKaiwuLXtETfjmnyJ90rSdA9R674UQWg6gmIrM0TrDFbTLauJd+QIcXX5fk6O9qWqAhcoi2sz13wl3ZQ5JaqSgugeTFgXDNTSZ/DPNZhOD+7GZBoXglLwqAax57T1XeYKpQOqkf/ggYbxKKUq+Ff493yuUgW+MIa9wlfeJf/gFenaX5OVmugdHGlAAlQAlQAmUSEDv+KMsAOl1P0iEg9gKWDgmqhBIQlkDMP9vhe5x9qJ+FxrDVpOG2piUa4z4Rk/DqL/Ds2EtYcdSb4ATOnz6Ftnt6Er9PC2rAMiQLCgsLQbTo146EMmsP8aW3eQPKSd8L4ps64ZdASuwJuOztTYw+KagBq9Bsfp3wYK1kau3WcF4Qy4NlasJcBO5q7NEQD4j5M6/tgIfqNXO548Vu3LHf0eHICGKr6LuWF+PUCG8EtJsnQ53OfudENHgZgdPY7yTeHJnJkHGAU9v6Q6jfW24mb9RseQlcvZCAlj905HR7OOMK6tRrUF5TorSPWtkX/g+OEd/aVmOhHrVSFC3U6bMJ5ITYoa7iMWmU2Hs33IK4G6alwvCmphVscIfIoUEsqczM83WkLfSCU/GT38GfIaDX+8/vyHOLs0vUcH96hljVe8yDcghbNodnd9ScBAgYlyCMf+VHeHXqWy5ll0Pd4ViQTvoYyhi+9l65bNDGlAAlQAlQAvIiIHb8kQbQ5bVeJKdW7AUsOSBUECUgEAH99mVQJrIPV5Ms3dB+nr6UE35fw+elIQKpom7EInBW/xfcD7LzfBf10FDD/rA0ty7dhnFQXf+FuAlv3BNBU7ab2y21bwYCZ3T/g8f/hhLLQq8lU4cUfehH+J2aQJpfUTSHQ0iSqd1pO4EJMCkX80OtUUNRQDyfH3AQbb25QSmBZT3XnfH74Q7qoZGAn63PFUgbGAjo146CMms3oaG37gfl5G2yoRO1qh/87x8lerWOY6B+f5Vs9Fd1ocabFPMKFLAIyRZsk2Jl+ZYos9PyPajHfFFZs7Q/zwTy8/KAhTawKPY9mTr4EJw9lTx74sdchsYFzXGDGJNDVhl+Ri5/K1LJCBS3rCs6PI4mQHWu06B6a4H8AdMRlEqA+S2QG2qLmsXSr6f03w8XnxfKRezc4iC0yz1H+oR1CEXwwCnlskEbUwKUACVACciLgNjxR8kH0Dds2IAuXbqAqW9OL+kREHsBS48IVUQJCEPAOGAZ2eAlBEzbi0sLPdAq/yoREaX8HP49RwojinoRjcDpf3+F91H25MB12KCZ5oJgerRfT4H66rfEX2SDbgiY9ptg/qkj/gic/m83vP8bRQxmwhp2mlT+HPBkKe7oHnT4l/1su4EmaKq5yJN1aoZvAg8f3EOdlQ4cs1dH6NCyjTvfrni1lxRxBO3/7E9s5hTUQt3QTF59UGOVJxC+ZgiC7vxFDOmavwXVuPWVNyyQhYjPBiLw7t/Em9b+XajHfimQd+rmeQRKbiyri4aaa8/rJpnXw9cMRdCd/8n2/SEZkGYWknP/DuquasXxkv6uHvbObmb2XDHzxqdAo9Vfwq/HuxUzRnsJSqBExrpXfoZnJzb7lFBiYj7tAd+HOva7z3kC1O/S8hJC8RfaT2mfcRX5LVBy48VUqN5iy3oJPS7qjxKgBCgBSsD8BMSOP0o+gG5hYQGFQgFbW1u8+OKL6Nq1qyGg7uXlZf7ZoR6eS0DsBfxcgbQBJVBFCZRIx2g/AuqxXyFlkT9c8s6TUYf7LkHQGxOrKAU6rCICUQe/hb+e3XmdZuEApwUJggHSfjsL6rSNxF903Y7wm3lQMP/UEX8Eov/6Hn5atg7iFUULOIQk8ueAJ0tiZ13gaRjVxkxWxmXYbuTeu2ePPwNru5aSZmB88jS3wAKWobckrbk6iote0Qt+OSfJ0LVO46Ae+alsUIR/PgxBt9nvTF2z4VB9yH6nymYgVVRo7JGd8Dk2hoxO6E2KlcUa9uXbCM7+g5jRNR0M1YQtlTVL+/NMoLTvyZsfJsCmGXfzGc9uK2wudaE3nPPTSP+IwJUI7DO2wvZoR+EIPA6xRS3FU+LwXL99aOffRTgB/+/JOPuKzuF9qEZ/JrgO6lAYAjfSL6LpZh+Os9sTk9DYtnm5BESt6gv/+2xZErpuyoWPNqYEKAFKQJYExI4/yiKAXjSzTCC96LK2tuYE1L29vWW5AOQuWuwFLHd+VD8lUFECyYsC4JqXQrrrPedDOXg6zi7pCPenbOBU7zEXyiEzK+qG9pMJgbC9XyE4dh5Rm2zpCtd5EYKp1/2ogSplDfF3unYgvGf/I5h/6og/AhH7NiAwajYxeL6GM9rOj+HPAU+WkmOOw/W3PsTakwJLWIXe5Mk6NcM3gcspcXD8kZui8dGsdNSuU49vV7zaS0uMgtP2bhybefNuooalJa9+qLHKEYhf1gVej9nPKV27GVC9yX4nVs66+Xvrv3wHyux97D1d00FQTthqfsfUg0kEIvdvQUD4NNI2zcIRTgviTeorhUb6tSOhzNrDri+bN6Cc9L0UpFENxQhcvXAWLX9QcZg8nHEFdeo1kCQn49+iYT6LEdx/kiS1UlEsgbzcXNRYbMNBkjb0CJzcAwTHFL5mMILuHCJ+5ZY9RnBgMneYdjYSTjte4owid+4NWNa0KtfIwr54C8G3/qT3TOWiRhtTApQAJSBvAmLHHyUfQL99+zaOHj2K//77z/BfXFwc8vPzDbNePKDepEkTdO7cmZxQ9/X1lffKkIl6sRewTDBRmZQA7wRuaRzQBPeI3dNdv4F314E4vfxleD9iA6c6lylQvR3Ku39qUFoE9NuXQZm4nIhKsPKG55zjgonU71gO5dllxN8Zqw7wmHNCMP/UEX8E9LtWQZmwiBhMtHSH2zw2vSJ/nipniQY2K8dP6N4psSfgspdND/qkoAZqhmRJvoaw3AIaQs+rVPwlLw6Ea24ykRPmswjB/dlMGlLRWZaOEjXcbV6HctIPUpddbfSF7V6D4DgNGW+SZXu0nxcmm/Hr1o+FKnMH+/5o0hvBH/0sG/3VReiFeD3a/PoqGW5+gQKKkGzJfk+eXaKG+9MzRG/RZu7qMl9yHee9O9losMaZIz9jVASat3IVfEglNo/ZDoRy4jeC66AOhSGQGP433PYPJM4qWhZJt3E8VBk/ETvhjV5F0Me7hBkE9UIJUAKUACUgCgGx44+SD6AbzwoTUD927BgJqJ8+fZoE1Jm2RUH1Ro0aGU6o//YbrcFqzpUt9gI259iobUpAqgQe3LuNequdOPIuvXkUrdr5Inplb/g9YAOX2lZjoR61UqpDobp4IqD9fi7UqWuJtdg6SvjMYnf08+SmTDPhe75A0OkF5PVzlu3Qbl64ud1S+2YgoPtpIVTJq4nluFp+6PDJf2bwVDmT19KS0OLbYI6RB9PSUK9B48oZpr3NQiDh1AF4HhpObN9GfTTWXDWLLz6NZl5Nhd3X3E25dz46j0ZNbPl0Q21VkoBxLd4o5efw7zmyklaF667bMA6q678Qh2GNeyF4Cvtv4ZRQT6URkMv3Ylmzp900AeprP5KXabBBmus8Meww3A4MIuIeFNRGvdDr0hQLQO6ZPyQL1szCstLTYLuZm72zImm0+ZCpWzcaqhts4DOsSR8Ef8QGRvnwQW1Ih0Dsv7vgc3Q0EZQJa9hpUsstUPvdbKgvbiD9Yuqq4Tvzf+W2QztQApQAJUAJyIeA2PFH2QXQjaf2zp07nIB6bGws54R6Xl6efFaDDJWKvYBliIxKpgQqTeDi2Qi03vEyx86jmVdRu259RHw2CIF3D5PXtC3ehvqDdZX2SQ1Im4D26ylQX/2WiIxs0A0B04TbQBbxxyYERrKlAlItWsN5Qay0oVF1pRIwfigh1Xr2N69fgc0GT84YpFwrtLovt5i/f4HviXEEwzU0RQsNW4ZEqnyyM6/Cer0HR17WuHjYNneUquRqqStT4ww7ZJOxF2XlkQsM7eZJUKezJ84jGnZH4NTdcpFf5XVqv5kJ9aVNZJzR9V6A34z9shm3dsvHUF9hT3UKfY8oG1AiC407ugcd/mU3/mShMWw1bI1xkeWVcB+7vDt8HrGbZXVtJkM1gs1gJDW9VE8hgSsp8XD4sRP3OYJIJXW0myZBfY1+91WXtRmx/2sEhk8nw71o4YjWFSiHUiLzXU0veMw9WV0w0nFSApQAJVAtCYgdf5R9AL2goADR0dGGE+n//vuvId37gwcPwPydOY1OA+jmfV+JvYDNOzpqnRKQJoHYI9vhc+wDIq74Axb9VyOgvPk7eU1vOwDKiWxgVZojoqoqS0C3fgxUmTuJmTCB03NG/bUN/tqJxP9lhT0cQ85Wdli0vwgEtJsnQ53O1kaNaPAyAqextVNFkFSqy9IycaS/Fwb71u2lIpHqKEZArptspJTqlC6osgncC2mOBoqHpEFiz11wU7KpkKXOTrt1GtSXtxCZUfW7wH86WxNd6vqrur6S6WJ7IOhj9p5L6uM33gAQVa8z/Gew9WOlrr+66DO+l76iaAGHkETJDj96RS/45bBBK63TOKhHfipZvVRYIYHzcTq03d2D4MgrUMBCpFIB2q3Tob78NfvdV+9F+M/4g05VFSWg37kSyjOL2Xu1mh5wm6st92gj9m1EYNQs0o9u3C83QtqBEqAEKAHZERA7/ii7AHrxgDkTND9+/Dju3r1rmHjmNeaqU6cO1Go1unXrhrlz58puUchJsNgLWE6sqFZKgC8Cxrtui9di1G34AKrr24krmgaUL+rSthP2xZsIvsWehtLZDYFqPPtAwtzqjVOyXYcNmmkumNsttW8GAmJvxjB1SHm5uaix2IbTPG3Yv3By8zfVBG0nIAH9rlVQJrAn0xIr+NBMQMkGV48f5aDW8hYct5ffPgFHlw5CS6H+yiBQkJ+P/FBr1FAU/g5krvMD/0LbDirZMJNL5g/ZAOVZqNw3pxqX+Ympo4LvrL94pkTNVZZA+O/rERT9Cfs5VsMZbefHVNas2fpHrn4DAff+Jfa1LUdCPeZzs/mjhvkhkKg/BLeDg4mx+wV1UD80gx/j5bSi/WE+1Be+JL1i6wTDZxabSa+c5mhziRMoMd+1g+Az++9yqzY+TJIBWzTXnC+3HdqBEqAEKAFKQD4ExI4/Sj6AbhwwP3HiBJi07cxlHDDv2rUrmP+USiVq1qwpn1UgY6ViL2AZo6PSKYEKEzA+CVM8FWOJNI31uyJgOnsivcJOaUdJExD7IVb8yT/gdfhtwugWGqKJ5rKkmVFxpRMI++ItBN9iT6bpmg6GagJ7MlJK3J6E2MBKkUskJb/xJ1x9O0tJItXy/wR02xZAdf4LwuN07UB4z/5H8nyY4KxiYROOztQhf8PZI0jy2quLwEc591F7RUvOcK+OOIWWbbglHqTMw/j9EVvBh8pSHqOctUWsHoDAe+znldZ+BNRjv5LNkHQ/hUKV/Fmxz98AeM8+Ihv91UWofucKKM8sIcM9W9MD7hU4nSkUr/A1QxF0h607rGv+FlTj1gvlnvqpIAEplQrQ/bIEqqQVZCTxtXzh9cnRCo6MdpM6gRLlaiqY5UxKm0CkzpzqowQoAUqgqhAQO/4o+QC6tbU1DZhLeLWLvYAljIZKowTMRiBqVV/43z9G7GtbjID6g8IHedrv50CdytY8p6dMzDYNkjIc82kP+D7UsWvCeSLU77IP4cwtNjHiH7j9OYC4eVBQG/VCr5vbLbVvBgIRnw1E4F32NICUAwV3NfZoiAeEwpnXdsBD9ZoZqFCTlSWg2zIVqitbiRk5pag23qiR0n8/XHxeqCwS2p8nAlWhTr3u58VQnVtJiNAgAk+LgyczxvdYutYToHpvKU/WzW9Gv30ZlInLiaMEK294zjlufsfUQ7kI6H4MgSqFPcEt9Y1m+i/fgTKbLTWhtx0I5cRvyjVm2lh4AiVLBTSHQ0iS8EIA6HethjJhIfGdaOkOt3ns71lRRFGnZiOg/+pdKG/+Ruzrbd6AchJbNsxUxxfPRqD1jpc5zXPn3oBlTStTTdB2lAAlQAlQAjIjIHb8UfIBdAsLC0Mtc+bq168fPv74Y0N6dnrCXBorXewFLA0KVAUlICyB5MWBcM1NZn98eMyDcsgMw7+Nd3InWPnAcw4bbBdWKfUmFIGEpZ3h+eQ0uybcZkM5jE0DaW4d50+fQts9PYmb3AILWIbeMrdbat8MBKJX9IRfziliWco1LTM1zrBDNtEa1+1bdOjCbuQwAx5qsoIESpQGaNwLwVN+qaA1Ybs9CGmGeopHxGli791wC+ourAjqrUwC6amJsP9eyXk9Z/ol1K3fSDbUjE+enqnpBY+5bG1h2QykigpNWPoCPJ/EkdHp2s+Cavgc2YzWuISG1E82ywYsz0JL1oOWdq16/br3obzxK6EQZt0XwZN/5JkKNcc3gYh9GxAYNZuYvWDRGm0WxPLtxiR7xmULUmq0hcv8KJP60kbyI8BXNpfMq6mw+9qXA+DOpHNoZNNMflCoYkqAEqAEKAGTCIgdf5RFAL2IJBNIb9iwIV588UVDqvYuXbrAz8+PBNhNIl7JRlFRUfjf//5nqL0eHx+PzMxMQzDf3t4eHTt2xPvvv4/OnU1PH8rY2rx5M8LCwnDjxg00bdoUwcHBGDt2LF57zbRTVDk5OVi3bh127dqFlJQUPHnyBI6OjujduzcmT56MVq1aVXLUZXcXewGbbWDUMCUgYQK3NI5ogrtE4ekuW+HdbZDh32G7P0dwXAh57ZxlO7SbFy7h0VBpfBAw3lQR5rMYwf0n8WHaJBuXzsWg1c9dOG3pTnCT0EmuUdyybujwmH14pXOdCtVb7GeKlARfCW0PhwK2bmN0x3Xwe5UtJSAlrdVdS9jnwxF8+wDBoLMbCtX4zbLAckvjgCa4R7QmvPIzPDv1loX26iAyNUEP512vkqHmFyiABTdhUaOGbIZvfO+WZNke7eeFyUZ/VReassgfLnlsfVWh77Eqyzds75cIjp1PfxtUFqSZ++s2jIPqOruxLLxRDwR9vNPMXitu3rikmNT1VnykVaun8YaaxJoecBOpVEDkgW8REDaFAE6zcIDTgoSqBZyOhhCI/fQV+Dxk7220FcyYl3P/Duqu4j7jvjpCh5Zt3CltSoASoAQogSpKQOz4o+QD6CdPnsR///1n+E+r1YIJFjNX0al0JqDOBKyL6p+bM6DOBOyPHXv+Sc533nkHW7ZsgZVV2SlkmPrt48aNMwTPy7qYIPrGjRufuUHg/PnzhkB5UlLpaZcaNWqEn3/+Gb169TLLW0jsBWyWQVGjlICECTy4dxv1VjtxFKYNPwqn9oW7cCP+3IzAiMLT6MyVauEE5wXsyWQJD41KqwSBtIWecMq/QixEKT+Hf8+RlbBYvq7X0pLQ4ttgTqf7Uy+ifkNu7eDyWaWtxSCQuEQNt6dniGt9sQwXYuh5ls/UhT5wzr9ImkQErEBg3w+kJpPqARC1qh/877N1LXUO70M1mq3JK2VIxpkOTnf9Bt5dB0pZcrXSlhj+N9z2s/MhxxIi9BSetJfs5VB3OBaks/dYqi/g/9p70hZdTF3Evo0IjJpF/nK+hjPazo+Rjf7qIrREemPbAVBO/Fayw9d+PQXqq6y+yAbdEDCNTc8sWeHVXJjup1Coktn7r7ha/ujwyb+iUIn5Zzt8j7P37ekKO9iHsFn2RBFFnZqNAF+/MQvy85EbaouaijyilZZXMtu0UcOUACVACUiCgNjxR8kH0IvPUm5uruGkdlFA/dSpU88NqPv7+/M20S4uLmAC1sxp88GDBxsC98zp7ry8PENwf/Xq1bh69arB3/Dhww2B67KuuXPnYunSwtppTNB/5syZaNu2rcH+ihUrEB0dbXiNabd48eJSzdy/fx9BQUFITEw0vD5mzBgMGzYMderUwb///otly5aBaVO3bl2DPm9vb95YFBkSewHzPiBqkBKQOIHSaj49mnkVtevWNyiPOfwzfE9+SEaRrmgG+5BzEh8VlVdZAtc1bdAMN4mZ4lkJKmvblP5ZGZdhu9GL0zR7/BlY27U0pTttIyEC5xf5oW3eBaIo3G8Zgl4fLyGFrJSkxcFon8tuIAzrEIrggexJFkmKrqaiTi9/Gd6PIsjodW0/guodtu6llLGkh7aDfcF1IjGm0wb4vvKmlCVXK21xx35HhyMjyJiz0Bi2mjRZMYjcvwUB4dOIZrr5UVrTJ/dNNCVPeTrCaUG8tCBTNYj4bBAC7x5mvyebvwXVuPWSJaP9dhbUaRuJvui6HeE386Bk9VJhhQRKzlsn+M1kMwQJyakqfH8LyUvuvi4u7IDW+ZfIMCICVyKwz9gKDcs4O1T8Kz/Cq1PfCtminSgBSoASoASkT0Cu9RzSAAAgAElEQVTs+KOsAujG08kE1MPDwzkB9QcPHpAT28wpdaYNX1efPn0wYsQIDBw4EDVKSQuYlZWFTp064dy5wmAVc1q9tHTuTJp1d3d3g7bAwEBDOyboXXQxp+yZ0+4RERGwtLQ0BMiZ4LrxpdFoEBoaavgzE3SfMYM9dWq4OdZqDenuGT/dunXDkSNH+EJB7Ii9gHkfEDVICUicQOyR7fA5xu7UNn5QTH+ISnwCzSTvrsYeDfGAWD/bcyfclT3M5K2k2Xt3stFgjTPnhYxREWjeylUwDdQRPwTkdNIuYWlneD5hM2zIrS4tPzMmDyslTp14zody8HRZiBc7w4csIIkoMvrQj/A7NYH9baJoAYeQws3Fcrmi/toGf+1EIveywh6OIWflIr/K67yraYGGKMyCx1xC32NVFnBVeI9UloEc+kev6AW/nJNEqrbVB1CPWiFZ6bptC6A6/wXRd7p2ELxn/y1ZvVRYIQHtpklQX/uB4Iho2B2BU3eLgidRfwhuBwcT3/cK6qBBKFuaSRRR1KnZCBhvRovtsgU+3dj5L49j4zJeUeq18O/xTnlM0LaUACVACVACMiIgdvxR1gH0onlmAs5MTfLDhw9j69atuHv3LpgU6UwAnTkdLuT1559/om/fwp1vTP3xL75gf1QU6ZgwYQLWry/cTcwEuVUqVQmJOp0OarXa8PeJEyfiq6++4rR5+vQp7OzscPv2bUMwnqnHbmFhUcIOkyZ+06ZNhr8zAfmAgABecYi9gHkdDDVGCciAgH7Hp1CeLcxewVzGdTKrQipTGUyDpCSWlsbs/ICDaOvdUTCdTx4/gtWyZhx/l986BkdXH8E0UEf8EChx0q7LVnh3G8SPcZ6tlKil12Yy1CMW8eyFmuODgJzT7V9Y6IM2xUsF+H+KwH7j+MBCbfBAIGLfBgRGzSaWztdog7bzCzN5yeWiaWylO1PMPVZeqA0sFfnsGhP4HquydGKP7ITPsTHETAaaorkmpbJmaX+eCcQt64YOj6OIVZ3rVKjeCuHZC3/mdL8sgSqJDfAnWPnAc87zyx3yp4BaqggB/dpRUGaxAXO9dT8oJ2+riKlK90mOOQ7X3/oQO08KLGEVymZUq7QDakBSBB6ENEM9xSOiKbHXr3ALfqVCGpMXBcA1j/0eC/NZhOD+kytki3aiBCgBSoASkD4BseOPsgygMwHzEydOkJPnkZGR5KQ5EzgvuurVq4d79+4JugqYlOkNGjQw+GRqkzMB9eIXo8/R0dGQ6t3NzQ1nz5Z9uoB5nalt7uDggEuXLnFqoTObBV599VWD6eXLl2PWLLauWXF/xQPxc+bMwZIlS3jlIfYC5nUw1BglIAMC+q9GQHnzd6I0sn5XBExn/30+Toe2u9mTx3kFCliEZENRygYbGQyXSjSBwONHOai1vAWn5eW3T8DRpYMJvflpwjxgzg+1Rg0F+x18YdAhtPFS8uOAWhGMwB2NPRoVy2Zwpsd2eKh7Cua/PI6iVvWF/332Ya3WcQzU768qjwnaViAC6aGusC/IJN5iXtgI3+7DBfJeOTfnFgehXS5bCiXceyGCBnxUOaO0N28E9DtXQnmGLXd1tqYn3Oee4s2+EIbiju5Bh39HEleZsIadJlUI19THcwhI4R6rspNEs1NVlqAw/RMXq+CWyz4b0ks8U4t+1yooE9hNi4k1PeA2VysMLOqlwgTCPx+GoNtsqn1ds2FQfVh44EboK+1sJJx2vMRxmzfvJmpYWgothfozM4Hcp09guaQpx0va0CNwcq/YAa/4ZV3g9TiG2NO5ToPqrQVmHgU1TwlQApQAJSAWAbHjj7IIoJcnYM6c2u7atashBXpwcDBq1qwp6NxmZ2fDxsbG4JM5ib5v3z6O/wsXLpB07B988AE2bmTrRhkLZV7fvHmz4c9MP2dnNj3uggULsGhR4Q+Wsk6xM68x6dsbN24MJrU9k8796NGjvPIQewHzOhhqjBKQOIHbWRmw+sobdRWPiVJtq7FQj1pJ/n0lJR4OP3bijOTRrHTUrlNP4qOj8ipKgFkXjde253TPGnsatvZOFTVZoX45IXactZnUZy/aB3IfilTIMO0kKIEnITawUrDlb5Lf+BOuvp0F1WCqs/A1gxF05xBprpN4vVBTx1UV293SOKIJ7pKhJbzyMzw79ZbFUM8u6Qj3pwlEq95jLpRDZspCe3UQqfsxBKqUz8lQ5ZhGOOHkfngefpOM4RYaoonmcnWYPsmP8c7N62j0VTuOzhtjY9HUvrXktRcJPKM9CI+/hhG9t1EfjTVXZaO/uggtkalF4tlOwn9bi6CYuWR6kmu4wHV+ZHWZLtmOM2pVP/jfZ58Jah1GQT16jSjjuXrhLFr+wM3G+XDGFdSpV3ggiV5Vh0Bp36WZY2Jg15JbAs7UEUet7Av/B8U3UY+G+v3Vpnan7SgBSoASoARkRkDs+KPkA+hMTXEm9XhRLfPiJ8zr16+Pjh07koB5UFCQoWa4mNfevXsxYMAAgwSmJjlTm7z4tX//fjC11JlrzZo1mDJlSplymdenTp1qeJ3p16tXL9J28ODB+PXXXw3/vnXrliFIXtbl4+OD06dPo2nTpsjMZE//8MFJ7AXMxxioDUpALgS038yE+hK7Qzy3wAKZI3Wwb80GT7PS02C72ZszpNsTk9DYtrlchkl1lpPAtbQktPg2mNPr/tSLqN+wSTktVa75LY0DmoDN+pLw6i/w7Mh+b1XOOu0tBIFSTwcM+xdObv5CuC+3D+OMHHrbAVBO/LbcdmgH8xN4FGKL2oqnxFHy63/A1e9F8zvmwUOJUy7tpkP15nweLFMTfBDQbp0O9eWviamo+i/Cf/offJgWzEZi2GG4HWBLZdA6sIKhf66jjEvJaP5NIKfdvY9T0aCR9XP7SqWBcXmn+wV1UJ/WGZbK9BAdV0PboWXBdfLv6I7r4Pfq25LTWSQoYv/XCAyfTvRdtGiF1gviJKuXCiskUKL8kfNEqN/lN0ulqazpcwtTScm/XWmbJXKmX0Ld+o0qNLiwL95E8K39pK+u6WCoJmypkC3aiRKgBCgBSkD6BMSOP0o+gF68rjeTGp0JqBedMA8MDESNGjUkM8v5+fmGuuVhYWEGTeHh4WA0Fr+YE+cffvih4U+7du3CoEFl1xVlAuRMoJy5mH7MifSii6mbrtfrwaSpZ9LGP+tiAvZMAJ65Hj16hFq1apnMjFmgz7quXbtmOOnPXOfOnTOkmy/tsrKyInPF1KV/8uTJM+3WqVOHvM7Uey/aQFFaJ2aNFB8TY5vxUdbFbLIonpmAYVJ8Y4ZxP6Zt0cYMZo4fP2ZP/5bmg9FStG4Z3Yz+si6FQoHatWubPFZmvTMsiy5GC6PJ1LE+fPjwmdzpPJWORwrzlPPgHizW+nMClBENu8Pvo52c99P9O9loutGDM5CM9yPR3NHF8Df6fmLRVJX308WzEWi942XOnN+fdoWT/k6Iz72shW1hh2yiI7LTRni88EaJN5UU3k/FRdHPPZbGg7u3YLvBnfv5MSoCzVu5PvezQ4z3U/Q3k9Hxxk6iV9+oJ7zHFQbQ6X1E6d9nYsxTbu4TNFjdiiMoecBfcHD1kcU8JX3RD76PCu/tmetk64nwHzrPcO9J7/dKrjOh78t1Gz9Ex8ztREhYwx7o8OH35N9ymKcLcSfheWAg0fyooCYKZl823PMX/dalv5/YtSbkfURaYhSctnd75j2W1OfpwumT8DhQuMGfuR4X1ET+7MIMB/R3bunflWLcRzxY3g42uEMERb24Be7qwoMXUpynqL+2wV87kei9omgBm5nRJYAa/wahzyNYRGJ8P1347BV4PmU3OpxymQ6/gdMNz7uKPyMTYp7u3rqBZpu5Jccuv6OHnYMzfb5XxkeTGPNU1qdkee73UuN18NjPPhdgDoI8nXUVUCjK/BB+1ude9LdTjO79XkXglB30vrwUmuWZJ6a7EM+N6O8n8X8/0bgGOwf0uVHpH8NiPDcq+64cuHnzpqEkNnNdvny5zPjjs2xU5jXJB9CZ4G9RwDwgIIB8IVZm0Obqu3r1akyfXrgLt3///tizZ08JVytXrsTMmYVpHw8ePIjXXnutTDnM60WnzletWoVp06aRtp6enjhz5gyaNWuGjIyMZw5p6NCh2Lmz8AFzVlYWSTFvCgfmAYWp15YtW2Bra1tq886dO8PaunCnPpPm/vjx4880+/rrr5PXU1JSkJDAps407tikSRNDevqii9m4kJ6eXqb9tm3bwsvLi7z+119/GTYWlHUxmyBatmxpeJn5IXHoEJsutrQ+TG36og9gptY9k0GhrIsJnvfowdarjo+Px/nz58tsb29vDybTQtF17NgxQwaCsi5mnbi4FAZOmev339la2aX1ofNUOkkpzFN+ymH0v7eNIzB18CE0auHKeT/l5+Wi/+lRnHZpw4/Cqb2v4W/0/cSiqSrvp6SII2j/Z38ysJyCWjjsz57GY14Q4nPv5gpfOBSw30c7m36EWg4l65pJ4f1U/A1CP/dYGk8e3Mbgc5M5nx+3JiSiSdMWkOL3k2Xir+j9kC2Vc7yGCtne4w366X1E6d9nYnzu5T7OwcAz4ziCdrquQa36NrKYJ7vYL6DOZ9PS/lF3IPLbvw56v1f6GhP6vvzkmjfR/ckRIuaw1SvI8XyH/FsO8/Qo+xKGps0jmvMKFPjT/3vQ7yfx78uTo4/B9fe+RAgTfP6f/1aOMKnP0+30ZAxNY1Nt5xco8Id/4SYT+ju3rF/Rwt9HdD71DqcU0g6HBajdtPB3vBTnKfbITvgcG0MAXiuwQZh/yVTg9HlE2WtMjO+ndtEauOMCEfVr4zGo6dwZYsxTXu4TDIgbzb0/bLMSzVu70ed7ZSwbMeaprBVcnvu9RxlnMfTaMmLqFhogTL21ws9hFUm/o1/ObmJPZ+EPnxkH6HPYUiarPPMk1HMj+ry85ETReaJxDane7xWtVrHjT0xMmAbQy76nlM0rTG3x7t27G05K29nZGVKmM8Ft44upW87UL2euf/75By+9VHZ92CNHjuDllwtPFTL95s1jH6wwwRCmLjqzeC5duvRMTiNGjMC2bYWBt/Lu0qABdGn+YJXKBxgNUJT+1uM7QMEExZWxM2GvyCIOY+sEw2fW4VI3pPSMGgkrBZuFIaX/frj4vGDoSwPo7JzxPU/Gq0GoB6rxJ/bB6282WHCzoCFO+K/lyBEigJ6xUgnn/DTid5f1eFg5cevaMS/SALp0N3g9vnsdQ87P4KydolqEUgygK5L2oV9OYTkb5mIenlz3KSyNQ7+fhPl+MuVz78n9bAxO5pYs+tVjA2rWqieLebI+vR6d83RkqPvrvI5ct4E0gF7Grw+hHwCFrR6ALrmniJoDtfvgqfsQ8m8xAhRl/TAr68H3o9vpGJo6m9Ntr8936NKlC92AXApMIe8jEk4dgOeh4UTFrYL6OOa/nqNKqPs9xmlFNorfzkjF0NRZJdYXcwJMioHZ6vg79+DBA+ipZ9cZw2BH66Wo3aQwu58U5yn++O/w+mcEWVel/f5gXpRrwI/RLsTvJ6EDSd7Rs+EM9rfILpuJsGoVLMo8FeQX4I3YdzmfTcy6b9GmAw2gl3EjIdf30+MrkRhy4wsyqquKZohXfVXhAHpeyt8YcO8HYi9W4YZ2M/+jAfRS1o3Q9+X0wBk7CfR5hHSeR5T124w+N5LPAU4aQH/WKpbJa8zpaOaHM3MSmEnDxJxoZh54lHbJ7QQ6TeEuzZRpRWuLpnBn32VSTG3H1zzFHtwK1Wn25Ahj90yP7fBQ9zSUKzAuifD007ZoiAcEzpnXdsBDVZjtgqZwZ9eM1FLSVDR1UMzhn+F7srA0CHMxP0itZ8ZyvoKESMV1fmkwXHOTiV+tZwh8+7C6il4QMvUq41OIFIRl3a7ILWXapcRItP+9N2c4BQtuQWFh8dzPDjHeT1G7lqHTBfZhzOlafnCdctCgv6LvJ6YvLQXDLgE+UkVeTYmDy+5XOOvqzscXYWVVWxbzFLdhBILvstmHTtkNh9/INTSFexkffEJ/7sWu7AW/h1qi5qTjWPi/uZD8W4wUuWV9J5T1fspIS4Lzdu5vx1uTUtCwsTVN4V4KTCHvI2KPbIfPMbaM2jXYovGseI4qqadwv3YxsdT1VbtufUmmBufr95Px0pHyPN28cR0269pxJKcOO4bmToV/k+Lv3ET9IbgdLCw3yFx3C+qi5mz2ZHPR3/m4jyjrM5Xe7+WWiaas+/Lbn3qhBdhN+RHqdfB8caAoKdwZ8YrljqitYEseJrz2K1z8XqQp3MuYWbm+n2L2b4I6PoSMKqVGWzjMOFXhUprGz8cuWLRG63nRNIV7KetG6PtymhqcnQT6PKL0DzIxnhvR+wimYoa8SwjTFO7PWsVlvHb9+nVDKlEmFThzManBmZTcpZ34roD5cnVJTU3FCy+8YEgZznwIMHXNmfTtZV1yq4H+PBhMgF3MFArP00dfpwTkTqAgPx8XF/tyTvYmWrqj/ZxThqBWaVemxplTi/p012/g3ZWtrSl3JlQ/l0DEH5sQGFlYGoS5mB+QbRZwA+hCMDuzpBM8nrIPlfUec6EcwuoSQgP1UTkCiRH/wO1Ptk4qUw6gbmhm5Yyasbd+50oozywmHs7W9ID7XDaQZkbX1HQ5CKTEnoDLXnZjxpMCS1iF3iyHBXGbhn35NoKz/yAi9E0HQTmBm8JZXIXV23v8si7wehxDIOjaTYfqzfmygnL9ynk02+LP0Xx3ygU0bGwjq3FURbGRB7YiIGwqGVqahSOcFnAD6FIfN11fUp8hICvjEmw3cmtBZ48/A2u7wjJyUrxKK29QK5QNzEpRM9UE3NI4oAnuERQJr/wMz07czbNCcrqrsS9z47+QOqgv8xLQ/bwIqnOr2HVn5QPPOccq7DTmn+3wPc5ubstAUzTXpFTYHu1ICVAClAAlIG0CYscfJV8DvWj6CgoKsHnzZqxdu9ZQ+7u0y8PDA5MmTcKYMWMMOyvMfTFBc+bkOZNKnfH33XffgUmX/qzrzz//RN++hXXU1qxZgylTuCkti/dlXp86tfAH+/79+0k9dObfgwYNwu7dhTVfmJPvjRs3LtOtj4+PIaV806ZNkZnJ74NwsRewueeY2qcExCZgfPKF0RPdcR38Xn27TGmXQ93hWMCmZotWfwm/Htz0aGKPi/rnj4B+12ooE9jTdok1PeAmQhAxblk3dHgcRQamc50K1VvsTnP+RkwtmYuAcTmAbDSEteayudxV2m74b+sQFDOH2GFOM7jMZ9dgpR1QA7wQOKM9CI+/hhFbt1EfjTVXebEthBH92lFQZrF1FvU2r0M5iU0bKYQG6qNsAkmLg9E+N4k0COugQfDAj2WF7Ob1K7DZ4MnRLPXgmawAV0Js2N4vERzLbshItnSF67yISlgUvitdX8IzL6/HqxcS0PKHjpxuj2ZeBZMlQKpXaoIezrte5cgrylokVc1UF/A4xBa1ip34PtdvH9r5l549UwheNzSt0RRs7du4bt+iQxd2M68QGqgP8xPQfjMD6kubiaPoei/Ab8b+Cjs+q/8L7gfZcj33CuqgQWhGhe3RjpQAJUAJUALSJiB2/FEWAXQmQMwEnbXawlNFTDC9tKsoaN6xY0f88ccfzwwqV3ZZZGVlGdK0FwXzmcD+hAkTnmuWCbYztZSY64MPPgBzIr2si3md2TTAXEw/Z2dn0pSpo87URWcuhotKVbLOLPMaU5OdCa4/ePDAUEeIqdXO5yX2AuZzLNQWJSBFAsanepmTL45zY2FRo0aZcs8v8kPbPDaFXoT/cgT2K5lKW4rjpZrKT0D3UyhUyZ+RjqdrB8B79pHyG6pkj+gVPeGXw9ah1bWeANV7SytplXYXkoDxbv5raIoWEt7NH3ngWwSEsRsR0ywc4LQgQUhk1JcJBGKP7ITPsTGkZQZs0VxTdr0tE0wK2kS3YRxU138hPsMb90TQlO2CaqDOyiZwcWEHtM6/RBpEBK1CYG92vcmB3Z1bWWj0ReHvw6Irc0wM7Fqyv/3kMI6qqFH3y1Kokj4lQ0uw8obnnOOyGmpp6+vG2Fg0tW8tq3FUZbHn43Rou7sHGWJ+gQKKkOwys41JgcXl5Fg4/vQiR8qTT67DqlZtKcijGkohkJebixqLuZlN0oYegZN7gGi80kPbwb7gOvEf02kDfF95UzQ91LF5COjWj4Uqcwdv99KpZ8LhvLM7R2zevJuoYWlpngFQq5QAJUAJUAKiEhA7/ij5ADoTLGcC1SdOnDBMlI2NDYYMGQKlUonmzZsbgulMSvewsDDs3LkTTGCbCaQzadX5DhYXrZQ7d+7gpZdeQlRU4Smn5cuXY9asWSYtJEavg4ODIeW7m5sbzp49W2Y/d3d3JCYmomXLlrh8+TLnVP2hQ4fQo0fhj6xn+dfpdFCr1YZ2n3zyCZYu5TeYIfYCNgk6bUQJyJRAYthhuB0YxFEf5rMYwf0nPXNEiUvUcHvKZurQe86HcvB0mVKgsp9HQPvNTKgvbSLNoup1hv+MP5/XjffXI1e9joD7/xG7WodRUI9ew7sfatB8BCL3b0FA+DTi4KKFI1pLOFWtcYYOmr7PfGujMpblngJZu3ky1OnfEwQRDV5G4LQ9lUFC+/JIID3UFfYFbIatmM6b4Psym/GAR1dmM/XwwT3UWenAsZ/+XhjsW7c3m09q2DQC2u/nQp26ljSOraOEz6xDpnWWSKuc+3dQd1Urur4kMh+lyTCuJ36/oA7qS/w05bW0JLT4NpgznPtTL6J+wyYSJl29pd27k40Ga7gbs66NDEMLJ/G+ay4u9ELrfDbbVWTQagT0Hl29J6oKjj7s8+EIvn2AjExnNxSq8eyJ9PIOOeNyCppv5W78uDM5BY2sm5bXFG1PCVAClAAlIAMCYscfJR9A/+mnn/DOO+8Ygsdvvvkm1q9fjwYNGpQ6tffv3zecAt+2bZuh/Y8//ojhw4fzugxycnLw6quv4uTJkwa7c+fOxeLFbP1NU5yNHz8eGzZsMDQt6/R48cA3037dunUc00+ePIGdnR2YYD4TaE9ISCg1bf24ceOwaVNhYIXZZBAUFGSKRJPbiL2ATRZKG1ICMiRgfKL3OmzQ5JMzz93ZT1Npy3CyKyFZt3E8VBk/EQvhjV5F0Me7KmGxYl3D1wxB0J2/2B/Gzd+Catz6ihmjvUQhILdUtfEn/4DXYbacxS00RBMJp5wXZVIl4DR8zxcIOr2AKDln2Q7t5oVLQJlpEozTToq1Sck0tdWv1S2NI5rgLhm42PVcKzIDuU+fwHIJ96Hv5beOwdHVpyLmaB8eCWi3fAz1lW+Ixcj6XREw/XcePZjf1NMnj1FzqR3HEV1f5udeHg9xR/egw78jSZcbaIKmmovlMSF426yMy7Dd6MXxS0tPCD4N5XKYlZ4G283enD63JiSiSdMW5bLDZ+OURf5wyWOzEoX7LkHQGxP5dEFtSYBA9Mre8HtQeCiOubSOY6B+n62JXl6J9+/eQv3PuFlU6MbD8lKk7SkBSoASkA8BseOPkg+g9+7dGwcPHkTXrl1x5IhpKWm7detmOH3es2dPQ+1wvi4maM2kkmdOfzPXRx99hM8//7zc5s+dOwdPT09DevXAwEAcO3YMderUIXYePnxoSLceEREBS0tLQ5p4V1fXEn6Kp3FfsWIFZsyYwWnDBOcZO4wf5hT/f/+xJwPLLbqMDmIvYL7GQe1QAlIjkHY2Ek47XuLI0rlOg+otNghRlmbjwLvWaRzUI9n0k1IbK9VTOQL6r96F8uZvxIje5g0oJ7GnJStn3fTe+q9GQHmTfaistx0I5UT2obPplmhLsQjoty+DMnE5cZ9g1QGec9iHHWLpKstvYsQ/cPuTrZOYU1ALdUPZk6hS01td9eh+WQJV0opi68oHnnOOyQZHVTiBKhvYFRD6KMQWtYvVc01+/Q+4+nHTClfArKBdCvLzURBqDQsFW6YsdcjfcPbgd+OzoIOqIs6M086GNe6F4ClsSQc5DJNZX4qF3FPBdH1Ja+ai//oeftrJRNQVRQs4hCRKS6SRmtJKA1wfHYVmDtxyFJIeRDUTdyUlHg4/duKM+tHMq6hdt75oJM4uUcO9eOY8j3lQDuE+1xRNHHXMG4H4ZV3g9TiG2NO1mw7Vm/MrbJ/5XssPtUaNYvdN5wccRFvvjhW2STtSApQAJUAJSJeA2PFHyQfQW7RogczMTOzatQsDBrAPSZ81pXv27MGgQYMMKd6ZVOl8XQMHDgRjm7mYFO5M8Lyo7nppPqysrNCuXbtS3TPp1JnU68zl5+dnSAHP1EY/f/48Pv30U0RHRxtee1ba9Xv37hkC8ExAnrnGjh2LYcOGGYLx//77ryFdO3Mqn/n3qVOn4OvryxcKYkfsBcz7gKhBSkAiBIzTXN1BPVhOO4N6DRo/V2HEZwMRePdv0k5rPwLqsV89tx9tIE8CEZ8NQuDdw+x8t3gb6g+4WUuEGJlu/RioMncSV2FNeiP4o5+FcE198ERA98N8qC58SazF1g6Cz2z2s4QnN7yZuRCvR5tfXyX25FAzlLfBy8iQ9vs5UKeyn0kxddXwnfk/2YxA99NCqJJXE71xtfzR4ZN/ZaO/Kgst7eR22vCjcGrP/28ec3N8EmIDK0UucZPSfz9cfF4wt1tq/zkEwr58G8HZf5BW+qaDoJywVXbcSq6vA3Dx4QbSZDeoKiQ4/Ld1CIqZQ0Z0vkYbtJ1f+DxIqtejnPuovaIlR97VEafQso2nVCVXe13n43Rou7uwDCRz5RUoYBGSDYWFhWhs+A6sijYQ6viZBIwzDYT5LEJwf3bTUEXw3da0RGPcJ13lmIGoIuOmfSgBSoASqI4ExI4/Sj6AXqtWLcMJauY0NhNoNuVigs8BAQFgAtiPHj0ypYtJbZ4VLC/NgJOTEy5eLD31Vn5+PsaMGYNvvin7dN7777+PzZs3w+IZN7QpKSno1asXkpOTS77cmRsAACAASURBVB1Dw4YNwaTB79Onj0ljLG8jsRdwefXS9pSAXAjc0jigCe4RueWpJx32xVsIvsXWwNY1HQzVhC1yGTrVWU4CUsk4oN08Cer0H4j6iIbdETh1dzlHQ5uLSUC7dRrUl9nPiqh6L8J/Bhs4EFNbab5LPUkzKx2169STmtRqrUf79UdQX/2O/WyQWQ1x/Y7lUJ5dRvSfseoADwlnZqhOi+3u7Zto+HkbzpDlegLyQUgz1FOwv1sT++yBW+DL1Wk6JTnWqrIpNSfEDnUVjwnjpD570T6Qm+lKkhNQTUTpd66A8swSMtqzNT3hPveUpEefn5cHi0XWHI1pQ4/AyZ1bl1jSg6hm4hLDDsPtwCAy6vsFdVA/NENUCjGf9oDvQx37zMN5AtTvLhVVE3XOP4Eroe3hUMCutSj1Wvj3eKdSjq6GtkPLguvERnTHdfB7lS3tVSnjtDMlQAlQApSApAiIHX+UfACdqfN98+ZN7Nu3D0w6d1MuJm07k2rd1tbWcHqdr4vPAHqRpgMHDhiC5OHh4cjKyjJoZuqUf/DBB4YU9KZcDx48MNRIZ07pMwF1JtW8o6OjIbDOpJlnAvnmusRewOYaF7VLCYhJ4E72DTT60oUj4dKbR9GqnWknquhJYDFnT3jfUtm5T+sECz/3fHvUbRwPVcZPxGx4ox4I+pjNKsC3v8ray7yaCruvuZ+LdyanoJE1t5ZwZf3Q/pUjoFs3Gqobu4iRMOu+CJ78Y+WMCtg7bPcaBMdpiMcky/ZoPy9MQAXUVVkESv0M+Og8GjWxlR0045NUZ3psh4fatN+CshusjASX2KTY+kOo32NLnchlKHc09miEB0Tumdd2wEP1mlzkV3mdum0LoDr/BRnn6dqB8J79j+TH/STEGlaKPKIzpT/NbCDlSYs7thcdjrxHJGahMWw1aaJKjlrVF/732bI+WsfRUL/PZv0RVRx1zhsB48Mh8d23weuFfpWyX/JU+2IE959UKZu0MyVACVAClIA0CYgdf5R8AJ1Jlc7UM+/fvz9+/fVXk2aRSbW+d+/ectVNN8kwbVSCgNgLmE4JJVAVCSRHH4Pr733J0Jj0anlzMmBVq7ZJw5X7aT+TBkkbEQLnFgehXW5hKQ/mCusQiuCBUwQnVCL9d51g+MxiU8sLLog6LDcB/VfvQnnzN9JPb/MGlJO+L7cdoTqUttkoc0wM7Fo6CyWB+jGBgHFJEp3dUKjGbzahpzSahP++HkHRnxAxckitKw1y5ldx6VwMWv3chePo6ZxM1LSqZX7nPHvI0jjBFreJ1biXfkCHF1/n2Qs1V14CUtmkWF7dxu2N11f8yz/AqzNdX5Xlyld/uWUAKhp3icwZvXfDLag7X1ioHZ4JRP21Df7aicTqFUVzOIQk8eylfObC1wxG0J1DpJOu+VtQjVtfPiO0taQJMPXKc0NtUZOz2abyZWqqyvezpCePiqMEKAFKQCIExI4/Sj6Avn79ekycONFQa3z+/PkICQkps+54QUEBQkNDsXDhQkObtWvX4sMPP5TIVFdNGWIv4KpJlY6quhOI3L8FAeHTCIZ0hR3sQ0ov01AaK+13s6G+uIG8FF23I/xmHqzuWKvs+C8u9ELr/MtkfJFBqxHQe7Tg49X9sgSqpBXEb4KVDzznsCcKBBdEHZabQPiaoQi6w9am1jUbDtWHG8ttR6gOjx/loNbyFhx3l98+AUeXDkJJoH5MIBC56nUE3P+PtCxPSRITzJu9SeSBrQgIm0r8pFk4wmlBvNn9UgfPJ5Accxyuv7Flqp4UWMIq9ObzO0qwRYbGBc1xgyiLffFr+Lw0RIJKq5ekpMVKtM9NJIMO8wpB8CD280AuNK5r2qAZ2PfG6S5b4d2NTeUsl3FUVZ26DeOguv4LGV54o9cQ9PEOyQ/X+FQprUEs7SmL2LcBgVGzicgLFq3RZkGsqKL1X74DZfY+okHfdBCUE7aKqok655dAzv07qLuqFcfo1RGn0LKNZ6UcRa3sA/8Hx9nfF45joH5/VaVs0s6UACVACVAC0iQgdvxR8gH0p0+fwsfHB4mJiYaguIeHB9577z0olUo0a9bM8LeMjAzo9Xp8//33SEhIABNId3d3R2xsLCwtLaU581VEldgLuIpgpMOgBDgEdN/NgeriOvK3+Fq+8PrkqMmUdD8vguoc++OhvP1NdkQbSoJAhqYtmiOLaBHrobt+12ooExYSHYmW7nCbx9a0kwQsKuKZBIzTKOoc3odq9GeSpcacaCgItYaFooBovDDoENp4KSWruToKi/30Ffg8ZFOea9tMhnrEItmgiD70I/xOTSB6pXBiSzbwzCw04dQBeB4aTrzcRn001lw1s1fzmL8S6gaHgmvEOK3laR7O5bWautAbzvlsiuOIwJUI7DO2vGZEb29cKzam0wb4vvKm6LqogEIC+q9GQHnzd4JDbzsAyonfSh5PpsYZdsgmOk93/QbeXQdKXnd1FajftQrKBPb+Swq/1UqU+WnSB8EfseWkqutcVaVx30i/iKabfThDuj0xCY1tm1dqmCUzXA2BavzXlbJJO1MClAAlQAlIk4DY8UfJB9CZaUtLSwOTyj01NbXM0+dF08sEz9u0aYMjR46gVSvuLjdpLgF5qxJ7AcubHlVPCZROwPjHgN66H5STt5mMiwYyTUZVJRre1dijYfG6liLVTTVOc5xSoy1c5kdVCcbVZRByDHTmhNihruIxmaLEPnvgFvhydZkyWYzzzNIX4PEkjg0MuH8C5VD2BJTUBxH77y74HGWzelyHDZppLkhddrXQF3tkO3yOfUDGmoGmaK5JkeXYS2STCf4MAb3el+VYqpLo9NB2sC+4ToYk18Bz2kJPOOVfIeOIUn4O/54jq9JUyXosEZ8NRODdv8kYtC3ehvoDdjO1VAdXVd4fUuXLty7dT6FQJbMbY+Nq+aHDJ2yGIL79mWJPu2kS1Nd+IE0jGnZH4NTdpnSlbWRCIO1sJJx2vMRRy0e5Hblm7pDJtFGZlAAlQAlIioDY8UdZBNCZGXvw4AE0Gg22bt2K27fZ+nDFZ7Nx48YYPXo0FixYgPr160tqoquqGLEXcFXlSsdVvQkkLH0BnsWCDbo2k6Eqx2m9iH0bERg1i0CUQnq26j2j5ht96TXFDsDFp5P5nJZhOfLAtwgIY2uvp1k4wGlBguA6qMOKE0hY2hmeT04TA7r2s6AaPqfiBgXoma1xhDXuEk/x3bfB64V+AnimLkwlkLwoAK55bFAz3HcJgt5ga3CaakesdvEn9sHr73eI+2w0hLWGLZshli7qFzAueXPRwhGtZZpe//wiP7TNYzdmRPgvR2A/WopM7HV+U9MKNrjDfsfItHb4hYU+aJN/kYwjImAFAvuym0/E5lzd/Uev6AW/nJMEg9ZpHNQjP5U8lrSFXnAqXkaKbvyR9Jxpv50FdRpbmkkKZd60W6dDfZk9NRxV70X4z/hD0hypuPIRSAz/G2772cwUOQW1UDc0s3xGSmktxfVc6UFRA5QAJUAJUAKlEhA7/iibAHoRvSdPniAyMhLx8fHIzi5MF2VtbQ0vLy8EBATAysqKLjUBCYi9gAUcKnVFCQhGwLhOYZTqC/i/9p7J/qP+2gZ/LRucuKJoAYcQtn6jyYZoQ8kTePTwAWp/as/ReeXtk3Bw8RJce8w/2+F7nH0Ym66wg31IsuA6qMOKEzi3OAjtcs8RA+HeCxE04KOKGxSgZ8m6wZvg89IwATxTF6YSuLTQA63y2bTa5f1OM9WPudol6g/B7eBgYv5eQR00CM0wlztqtxwEwnZ/juC4ENLjnGU7tJsXXg4L0mkqx89f6dAznxLjLCdJffaifSD3JJ35vPNnWe4bmfgjIU1Lccu6osPjaCJO5zoNqrcWSFNsMVXGG3/C/ZYh6PXxktddXQVK8bS39of5UF/4kkxJbJ1g+Mw6XF2nqEqO2ziTUyasYadJrfRYdb8shSqJ3WiUYNUBnnNOVNouNUAJUAKUACUgPQJixx9lF0CX3hRWb0ViL+DqTZ+OvioSYAKiVstbcmr6nh9wEG29O5o83Lije9DhXzYt4w00QVMNe+rEZEO0oeQJ3LpxDU3WuXF0Zo2Lg21z4UuYxB37HR2OjCBastAYthq2bqjkYVKBuLiwA1rnXyIkIoJWIbD3GEmTMU5LGxn8OQJ60bS0Upq0EjVSu2yFd7dBUpL4TC3J0cfg+ntf0uZxQU3UCs2Sjf6qLFT382Kozq0kQ4yv5QuvT47Kcshnl3SE+1M2a4veYx6UQ2bIcixVRXR+Xh4sFllzhpM65G84ewTJboiJi1Vwyz1LdId5hSB40FTZjaOqCk5arET7XHazs95zAZSDp0l+uEmLg9E+N4ldVx00CB74seR1V1eB+rWjoMxi06OXt0ycObhVpe9xc/CpCjYj9n+NwPDpZCh8ZQsyLh93voYz2s6PqQrI6BgoAUqAEqAEjAiIHX+UZAD98ePHhlTtBw8eNNQ/z8vLg729Pbp27Ypx48bBxsaGLiSJEBB7AUsEA5VBCfBGIC0xCk7bu3Hs3Z96EfUbNjHZh/Fpubuoi4aaayb3pw3lQyA9NRH23ys5gnOmX0Ld+o0EHwRdd4Ij591heqgr7AvYlHpyqPWassgfLnnnCQu5pQfnfRIlaPCupgUaIocoO9tzJ9yVPSSotHRJqQl6OO96lbyYX6CAIiQbCgsL2YyhqgrVfTcHqotsnWAppKOtKOv4ZV3g9Zh98CuHEhoVHatc+uXcv4O6q7gbEtPf1cPembtxUQ7jMS4PpXf/BMqhs+UgvVpoTF3oA2cZptg/s/QFeBQrO0bXlbSXa9jnwxF8+wARqWs2DKoPN4kqWr9rNZQJC4mGREt3uM3TiaqJOueXgH7nSijPLOZ9jmMO/wzfk2ypm2toihYatmQUv6Og1igBSoASoATEJCB2/FFyAfTk5GT07NkTqamlp3Rp2LAh9uzZg27duAEmMSexOvsWewFXZ/Z07FWTgHEa7IrUWk2JPQmXvb0IoKcFNVAztLDkBb2qFoEL8Xq0+VUagZ3kmONw/a0PAfykwBJWoTerFvAqPho51no9u0QN96dnyMzQU5vSWqQF+fnIC7WBpSKfCCtvVhWxR3TpXAxa/dyFI+PpnEzUtKoltrRq71+7eTLU6d8TDhENuyNwKnu6Tk6ATi/vDu9HbPp5ncvHUL2tkdMQqpzWrIzLsN3ILYmTPf4MrO1aym6sccu6ocPjKKJbLinCZQe6goLTQ9vBvuA66S2HDYyM2JLraipUb7FlNSqIg3YzE4GoVf3gf5/N0qJ1GAX16DVm8maa2fDf1iEoZg5pnFKjLVzms59VplmhraRMoESa/tpB8Jn9d6Uln9EehMdfbNmuu6iHhpr0StulBigBSoASoASkR0Ds+KOkAujMyXNfX18kJbFpoEqbskaNGiEuLg4ODg7Sm9FqpkjsBVzNcNPhVgMCxmnMkizd0H6evlwjv5wcC8efXuT0efLJdVjVql0uO7Sx9Akkhh2G2wE2FfL9gjqoL1Jt3otnI9B6x8scaPnzs2FRo4b0QVKFBgLGtV4Te++GW1B3SdOhD28lPT1gypLU/tSeI/LK2yfh4MINSkl5FOkXk2D/XTBH4oNpaajXoLGUZVcLbfp170N541cyVimko60o+OgVPeGXc4p01zpPgPrdpRU1R/vxQODqhbNo+YOKY+nhjCuoU68BD9aFNRH76SvweRhGnOraTIZqxCJhRVBvZRLI1jjCGnfJ6/Ev/wCvzq9LnljMitfgm6Nl11XrCVC9Rz+3pDpxxp8DWueJUL+7RFS5kQe+RUDYFKIhzcIBTgvYciaiiqPOeSGg3TwJ6vQfiK3IBi8hYNreStsu7SABFtykzx4qTZYaoAQoAUpAegTEjj9KKoDOpG0fM2YMFAoFgoKCsGTJEqhUKlhaWuL06dOGf+/bt8/w+uTJk7Fmjbi7JaW3nIRXJPYCFn7E1CMlYF4Cxg+DK3Ka6vqV82i2xZ8j9M5H59Goia15xVPrghM4/d9ueP83ivjNhDXsNKVncDG3uNIeND+aeRW169Y3t2tqnwcCzEnhglBrWCgKiLULgw6hjRe3RAAPrng1USLo5DQO6pGf8uqDGqs4gdtZGWi8tj3HQNa4ONg256ZFrrgH8/fMSk+D7WZvjqPbE5PQ2La5+Z1TD88kUDId7XCoPtwoS2pRq/rC//4xol3baizUo9j67rIclMxFV6XyDdEresEv5yS7vuh3paRWp/EGxqQ+e9E+8CVJaSxNTInPLcfRUL+/WvK6q6tA41IOUigVEvP3L/A9MY5MSbrCDvYhydV1iqrkuPVfvQvlzd/I2PQ2b0A5ic0eVNFB30i/iKabfTjdr40MQwsn7u+Oitqn/SgBSoASoASkQ0Ds+KOkAuh9+/bF/v374eHhgcjISNSqVTI1Yr9+/fDnn3+iVatWuHjxonRmspoqEXsBV1PsdNhVmECJneEVeBBxJ/sGGn3pwqGUOSYGdi2dqzC56jm0qP99B3/dR2TwlxX2cAw5KwqM0n7E3pl0Do1smomihzotH4FHOfdRewU3La0cTgpHru6PgHtH2KBAy/egHvNF+QZPW5uNwLW0JLT4Vt6nt+/cvI5GX7XjMLoxNhZN7VubjRs1bBqBEuloK3DPZJon87eKWD0Agff+oZ9l5kdtsofE8L/htn8gaZ9TUAt1QzNN7i+lhpGrXkfA/f+IJJ3D+1CN/kxKEqutlrzcXNRYbMMZ/8Wh/6C1e6DkmUR8NhCBd9lUzNoWI6D+4CvJ666uApMXB8I1lw1Oh3svRNAA9nekGFzijv2ODkdGENdZaAxbTZoYUqhPMxEocX/D0+cEs/n73sKWaIgcojym8yb4vsymdTfTkKhZSoASoAQoAYEJiB1/lFQAnQmKX716FZs2bcLo0aNLnQqdToeOHTsaTqFnZ2eDSedOL/EIiL2AxRs59UwJmIfApYUeaJV/lRgP912KoDcmlMvZ40c5qLW8BafP5bdPwNGlQ7ns0MbSJxC29ysEx84jQpNruMB1fqQowkvbuEGDTKJMRYWclnpSeOxp2No7VcieUJ1KnEC1GwrV+M1Cuad+nkOgKpR2yLl/B3VXcU/Mp78XBvvW9ISL2G+A2OXd4VO8bnjbj6B6Z6HYsirkP3zNUATd+R/pq2v+FlTj1lfIFu3ED4GqFNiJ+GwQAu8eJmBooJOfNcKHlft3b6H+Z9wNWXL5jqH3YHysAOFspC30glP+ZeIwMmg1AnqX/txVKFVn9X/B/eAQ4u4u6qKh5ppQ7qkfAQiYs3TAmSWd4PE0nv1uo+VvBJhR6oISoAQoAeEJiB1/lFQAvW7dumDqoOv1egQGlr7j9tGjR2DaMQH05ORktGnTRvhZox4JAbEXMJ0KSqAqEWBOIOQtagYrRS4ZVmLPXXBTvlquYTK7cfNCbWCpyCf9zg84iLbeHctlhzaWPgHdL0uhSmLTVSdYecNzznFRhJd2gvnqiFNo2cZTFD3UafkIZFxOQfOtAZxOd6dcQMPG3FNR5bNq/tb6taOgzNpNHMm5BrL5aQnvISniCNr/2Z84luMJzqdPHqPmUjsOvEtvHkWrdr7CA6UeOQSMH5zqPeZCOWSmLCmFffk2grP/INp1TQdDNWGLLMdSVURHH/oRfqfYTaxXFc3QMuScLIdXlcodyHICniE6K+MSbDdyNznfmpCIJk25m6GlOG792pFQZu1h78F4Ss0sxbFWBU0ZGhc0xw0yFCmc1k2OOQ7X3/oQTU8KLGEVerMq4KZj+H8CiUvUcHt6hv2c4PFezfgziK/66nTyKAFKgBKgBKRFQOz4o6QC6BYWFobAeFxcnCGNe1mXqe2kNdVVU43YC7hqUqWjqq4EMi4lo/k33M1DFa0Vey+kORooHhKUib1+hVvwK9UVbZUdt/b7OVCnrmMfhNRRwXfWX6KMl9m4oVjYhONbLikoRQEmMadpSTFw+qULR9XTOZmoaVWynI6UpOs2jocq4yciKbzRqwj6eJeUJFZrLfHHf4fXP2xqzptoBBvNJVkxYT7bCkKtYaEoILovDDqENl5KWY2jKopNWeQPl7zz7PvfbxmCXh8vy6HSQJT0pi1i30YERs0iwlItWsN5Qaz0hJqgSP/VCChv/k5a6m0HQjnxGxN60ibmJnAlJR4OP3biuHk0Kx2169T7P/bOPC6q6v//LxYR9w0VQQQUkH2HmTHTMtPStNLSLD+Z2WKZpua+MeCSe2aZ5pJltpiZZalltmjlzACyCCgCKogiKu47CvN7+Pl+fudyB0yWmbn33Hn3X3DP+/16Pc8RmPs+530snbrO8fUrX4f69NcsTmLzPogd+1Wd41IAyxC4oG2PFrjCgmc9+iWCHuhrmWTVjKqETkXVtGqzj+UnhMCrXPjbPzl6EaKfeM0sPAybF0OVNZvFyrfvAK9ZGWaJTUGIABEgAkRAPgSkrj9SAV0+a4FLJVIvYC6hkWgicA8CWf9sR9Cvz7Pv3j2p1yCuGHb29jVmVqL1hAsusnEZPT5FSDfhFGCNA9IAWRLQrR4DTdFnTFtyk0cQ/Y5wEsTaom/FuaC+3W2WNvfJH+Eb0c3aMihfLQjkpf8Nn63CS7RSowOc4s/XIpJ1h+jWTYCmcA1LmtKoGyInCqc4rauGspkSUMoJzptxLnCu8LMtp/82+EWKN5zQ7FufQGF8ADyMRSxxqmY5InoPs74QM2SkQpQZIJo5hGHzEqiyhCsBsh0D4D9Db+Ys1glnWDECqrPfsmTUrcU63KuT5ciBfej03ePs0TKjHezjztfq81918pnzGd3q0dAUbRA+hzTtiejxQlcgc+aiWHUnIMe/ZU4ePQT3DWqRuRsTT6BBoyZ1N0wRZEHgjNYbbSB8pkzvtgZhPYS2/XURmZ34K/x3PMNC3DHao2zqSdR3bliXsDSWCBABIkAEZEZA6vojFdBltiB4kyP1AuaNF+klAv9GIHHLMsRmxLFH6nLS5UR8Z7Q3FrNYqV1WIKLXUJoAhREwfSGa2LIfYsdslMzlZW07NMV1lv/Q498gQNVbMj2UuPoEDup/RuDPg9kAXu4g1G+YCfXR5Ux3unMMwqbsrr5xetKiBExPcB6190JHDk9w0s82iy6TWgc/q/VCa1xg4zMeXo+Q7gNqHU/KgbqPR0NzqmIh6lFEjxcKnlJqs9Xc+i8SoM5dIqyv+hEImfonlzj0K0dCfVo4GZzU/HHEjBVODnNpSiGisw274L/zWebmirEBmsQLn+HkbJM2Mcp5dsTa7l4V5zBHfC1TweDf4Rkgvr7J2o7OFuWj9eowUdpLo3PQrFVba0uhfBYicC2uLRrZ3WTRzdkZ8cql82jynrdI+ZGBv6BTiHhThoWsUVgiQASIABGwEgGp64+yLKC/8cYbaNNGfNdgxfnQarX/bfV+v+fujpk1a5aVptI200i9gG2TOrlWKgHT08SpDR9AxKQdtbJ7LCEM3uX5bGxy1EJE93u9VrFokHwJJC17DjEXdzKB+rZDoH5jlWSCK3c+2ICQbk9KpocSV5/AgT+3IPTPl9mAM2iJNtpj1Q8g0ZP6r+ZBfXgBy57lFIqgaX9JpIbSmhKodIKzXiD8p+u4A3VO2wGtcInpzuz5OYK79ufOh9IEX41zRWOFXFejXzse6hPr2BTtb/wQoiYILbeVNnc8+NGtnwxNgfA3VWrDLoiYJPzNxYOH/6+RTgrLd7Z4/fvrLlE5XSUl3xmWh7KqCo2nhieinWdnSQVeOn8WzZb7iDSceTUNbdzFRVFJRVLyWhO4c7sUjnNbi8ab+4q3onhfuBnPsBxJHF/nU2vQNJAIEAEioHACUtcfZVlAN+ecl5WVmTMcxTIhIPUCpgkhAkoisH/xk4i6KpxsqUsx9PAcFTrfyWZ4EoPjEPvMeCXhIi8AUhb1Q+S1vYyFzuNVaEYsloyN6QfYtK6rEN5ziGR6KHH1CaT+8hkidGPYgBN27dA+TvgZUv1I1n3StHNHjqMf/GYkWVcEZbsnAf0X8VDnLmXfz6gfiZCpf3BH7LS2I9riHNOd3n0twh4WTgxyZ0gBgpV2N33lYm3tN1EqYHplYaFyVwB+21Pr1r0DTeFaxjWlcXdETtgmC862LiLl508RqX+bYSi0c4NH3CEusCipSwMXwOsgsqSoAC6rQ0URLozKRovW7eoQte5Db16/CueF7qJAJ1/cB/eOQXUPThEkJ3Dp3Gk0+8BPpMPcGyRSFz6OiOv7WA696wtQj/xIcu8kgAgQASJABMxHQOr6o+wK6OZDi/+eUqcCujmJVo4l9QK2rDuKTgSsSyB3dhR8y/JYUkPgdKgGTaqViMx3uyP4VprwQcJvItTPz6hVLBokXwIH5j+C0JvJwjz7jIV6aLxkggsSguFZXsjy749dhqg+wyXTQ4mrTyB520pEp0xhA444eKPTTOFnSPUjWffJ5J9WIzp5Ikt6zN4T3rMOWFcEZbsnAd0nk6A5/jH7fmqjroiYuJ07YnQtivym7Ma1K2iwqL1I2MkX9XDvGCA/sdVQVOk6igaxCJv8azVG0iOWImD48GWoSoT7nHm+N1z36RRo8lcKP4s5Pk1vqfmWKm7S9x8iJm06S5/n0Ak+M1OkklOjvIZNC6A6NI+NOVgvGIHT/6lRDHrYOgRO5GWi/cYHRMluTjoJ54aNrSPgHlnuboazS2gh+u6xQbvhHRgjqS5Kbh4CVd1xf+2dAjRq0tw8Ce52wlgzFpqT61m8A87RCJ3ym9niUyAiQASIABGQnoDU9UdZFdD37Nlj9hnp3r272WNSQIGA1AuY5oIIKInAZa0bmuIas1SXuzzTFj6G8OtCm1y91yioXxJecCiJmy17yZ6rgf/tgwyBIWgmVM9OkAxJ3uxI+JQdYfmTwuch5qlRkumhxNUnYNi8GKqs2WxAtmMA/Gfoqx9AoidTd21ExD5hjZ2wc0X7uMMSqaG0pgT0w2wlyAAAIABJREFUq96EuvgL4WdCs16IGbeZO1D5CcHwqrg5KGYJovq+wp0PJQk+f+YkWn4UKLJ07o0stGorLqrz4ln/5Wyoc4QOMhkc37fNC/P76UxcNgSxF4WrlPRtn4P6DWFD0P3Gy+n7+s9nQX3kfSYpnTZoyGZ6eC5CUxcg2Syj+wo5kqFHpy292XPlRjvYxZ2Hnb39fcda+oFbcS6ob3ebpcl98kf4RnSzdFqKbwUCeen/wGdrH5bpjtEeDnHnzLru9u9Yh6hEodMiL9eQWQE/pSACRIAIKIaA1PVHWRXQFTOrNmRE6gVsQ6jJqsIJVNXeqi7ty/YveRpRV35n1HTuw6F5dZnCKdqevaMJYehY8a77yAWI7j9SMhCVC/qzoHr2Hcn0UOLqE+C1DWfGnu8Q8ofQ5eAsWqC1Nr/6xulJixIwfDAMqnPfsxyGVk9BNfozi+a0RHDaHGQJqnWLWXQsG26fqURBbkw8gQaNmtQtsESjTYtoWU4hCJr2t0RqKO1dAimL+yPyqrDBX99+BNSvCFdS8ESJNmjId7ZMu08ccI5B6JTd8hVcQRmv3Yu4gGtmkdmJv8J/xzMs6jWjMxrFnzZzltqFMz1EcPCxTQhUP1a7YDRKVgQy//kRwb8OZZouojGaa0+aVWNBdgo8v35YFFMO1xOY1SQFIwJEgAjYOAGp649UQLfxBVhX+1Iv4Lrqp/FEQC4EclL2wG9bfybn7u5c4/Ri1HOqXyuJlU7NtBkM9ZuraxWLBsmXQFG8H9yMwsuPtAdWIvzR5yUTTFcHSIa+zokr37/bBRGTdtY5rqUDHDL8goCdg1iay2iIptpTlk5L8atJIOm9ZxFzaRd7mtd7CQ/PUaHznWzmIzFEi9iB46pJgR6zBIFjWQZ4b+7FQsvpNF1t/CZueQ+xGVo2lJcuILXxysuY9AWPIuxGIpOr6zgGmheFTi28+Lirs9IpZ6cQBNIGDVlMoX7teKhPrGNaUhp3Q+SEH2Wh7X4iUnauR6RhLHuswL49PGdl3W8YfV8CAhl7tyLk95dY5hI0h4u2QAIllVOWaD3hgovsGxk9PkVIt6dloY1E1I2Aaaewk3Zt4R6XU7egJqPv3C5F2Rw3UReDzEc3IviBfmbNQ8GIABEgAkRAOgJS1x+pgC7d3Csis9QLWBEQyQQRAJC8fQ2ik4TW23X9cGFYMQKqs98ytokt+yF2zEZirTACF7QeaIHLzJXUHxaV9LJZYUvlvnZ0q8dAUyScDE5u8gii3/nuvuOkfiA37S/4fv8Ek1FqdIRT/DmpZVH+/xFIWfQEIq/9xXjoOrwOzcsLueNzcF5XBJZmMN2GgKlQDZ7CnQ8lCc5O2g3/7QOZpavGBmgcX8ytxaTvVyAmbRrTn+vgA9+Z+7n1owThWfO6Iqjiv3v/KVA9N5VLa6YbNA47+qPzDAOXXpQmWr9yJNSnv2K2kpo/jpixX3NhM233Vwj/W+h8VWTXBm5xuVxotzWRcr7ySG4bwm1tbVjSb+LWDxCbPoOlyHPoBJ+ZKWZPadopSt95EtRDpps9DwUkAkSACBABaQhIXX+kAro0866YrFIvYMWAJCM2T0D36RRo8lcyDhn1IxEy9Y9ac9F9PBqaUxvY+OSmPRE9fkut49FAeRK4GecC5wp3xuX03wa/yO6SiU1Z1A+R1/ay/LoOr0Hz8iLJ9FDi6hPQf/Qq1Ge+YQMSW/RF7NtfVj+ARE9W1bbvzvSzcKznJJEiSluRwIH5PRB6UygC6n3HQ/1CHHeQMt59GCG3hBd+vPrgDvy/CDY9Tcf79Q2mGymP2XvBe1a6kqaMOy+5s6PgW5Yn/F4Mm4PYp0dz5+OuYNqgId9pMyz/D1TntzGBBpcBUL21Xr6CKyija3S4mKb/ikzetgrRKZOZ4KP2Xugok98xBQnB8CwvZNr2xy5FVJ8R/MAlpfckoP9yDtQ5wruALKcwBE0T3hWYC13Se4MRc+ln7j7Hmss/xSECRIAIKJ2A1PVHKqArfYVZ2J/UC9jC9ig8EbAaAdOW63W9J7ZyO+YHEDFph9X8UCLLE7jbrsxxbmtRooIhe+DZOdzyye+RIXnpQERfFu5t1LV7EZrXP5BMDyWuPoHE919A7IWf2ABD62egGiW0FK1+JOs+eargMNqtjxUlvTo+H42btrCuEMpWJYHsuRr43z4orKugmVA9K3Rb4QVb2oLeCL+hZ3J13qOgGTaPF/mK1Jnyy+eI1L3FvBXaucEj7hC3XlN+/hSR+reZ/uP27ugwS/i3w60xjoUXJATBs/wEc7A/dhmi+gzn0lHyT6sRnTyRaacNGvKZRp7/ds7atwNBu4YwmJa431g+M8W3EsPmxVBlCVdQyOmaENPTw0nhcxHzlPD7nW/ytq1e98lEaI4L1wimNrTMOyn9Ri3Uee8x2DmOfvCbkWTb8Mk9ESACREBBBKSuP1IBXUGLSQorUi9gKTxTTiJgCQKm7WH1PmOhHhpf61SmHyIOOEchdMrvtY5HA+VH4NKFEjR7v5NI2OlXUtC2vfhr1lRuWoTVtxkE9ZtrrCmBctWSQKUXuG4vQvOa/Dc/nDt9Aq1WBolcn3sjC63atq8lCRpmTgJHE8LQsTyfhUyOXIDo/kK7V3PmsmSsSt01PF6FZsRiS6ak2PchkPTDR4hJFdppW6otqLUmonIr5LZwM/M9odbyopQ8xdpOcEUJs5PebQ3Cegzi0h5t0JDvtKUufBwR1/cxgTrPkdAMXyBfwRWUZSf/Bv+fBrCvXDfWR8P4M1xotzWR+i/ioc5dymxn1I9AyNQ/ZYHh0FwNAiputgycAdUgYcOPLESSiFoR0K98HerTwpUUlrqiwrQr0d2fRc6zTsHewaFWumkQESACRIAIyIuA1PVHKqDLaz1wp0bqBcwdMBJMBO5B4IzWG21wnn03RfMhInv/p9a8DN8sgurgHDb+UL1ABEzX1ToeDZQfgeLCPLiuixIJuzz2KJo2byWZWMOHL0NVIlwVYGjZH6oxn0umhxJXnwCvL3CvXbmIRks8RUaLXkqEm1fn6punJy1G4GS8H9yNp1n81C4rENFrqMXyWSpw5Q0mw6B5bbml0lHcahAwfLMQqoNz2ZMH6wUjcPo/1Rgpz0cO/LkFoX++zMSdQUu00R6Tp1gbUXVJ64ZmuCassd5fI1DzOJfuaYOGfKct893uCL6VxgTqfd+B+oVZ8hVcQdmRA/vQ6Tvh38RtowPqxQufZ7kwYSMiK3en64KISTtl4b7SvwG/CVA/P1MW2khE3QiYdlm01Ob6kuLjcFkVIhJ7Yug/aO8TXDcDNJoIEAEiQARkQUDq+iMV0GWxDPgVIfUC5pccKScCAoGb16/CeaG7CMnRZ3ahY7Cq1piUdjKr1iAUPLDg0H54buohclg24xwcHB0lc61f9SbUxV+w/EnNeiNmnHCvtmTCKPF9CfB6x3PZnTtwmCPeNFIw+Hd4Bog3l9wXAD1gEQLntB3QCpdY7MxHNiD4wSctksuSQZOWPYeYi8KLZn3bIVC/scqSKSn2fQjoP58F9ZH32VPpzjEImyJcIcIbwMx/fkTwr8LmkvNoipZa4U5Y3vwoQW9pXCs42d1hVnKf+gm+4Q9yac10g8ZptEJb7VEuvShN9OE5seh85zCzlRgch9hnxnNhsyA7BZ5fPyyrzyJcgJNApO7j0dCc2sAyJzftiejxwqZnCSSxlHRNjpT0LZs7ZdETiLz2F0uis1AHJ2N5OS4keKIlLrNcqZrliOg9zLIGKToRIAJEgAhYhYDU9UcqoFtlmpWbROoFrFyy5MyWCFRVCL32TgEaNWleawymrRp5vxu01iAUPDAn5U/4bRMKUTeMTmgQf1ZSx/q146E+Idybvb/xQ4ia8IOkmih59QhUuquao/aJSipyVG+2+HnqelwbNLS7xQQffmIrOkeLN/7w4MbwwYtQnRN+lhlcBkD11noepCtWo27dO9AUrmX+Uhp3Q+SEH7n1m23YBf+dzzL9l9EQTbWnuPXDu/DbpbdQb14bkY2CIXvg2TmcS2uZf29D8G6hs9U5NEMr7XEuvShN9LGEUHiXFzBbyVELEd3vdS5snjx6CO4b1CKtNyaeQINGTbjQb0siTbuEJbbsh9gxG2WBIGVxP0Re3cu06DxegWbEElloIxF1I2DNDhumuXQdXoPm5UV1M0CjiQARIAJEQBYEpK4/UgFdFsuAXxFSL2B+yZFyIiAQMG2rWILmcNEKL1Jqw+rAH98idM8INpRagdaGorzHZP71A4J/e5GJlMPLUP2n06DOX8E0pTXUIHzSz/IGSer+S+DI7Ah0KhNOoyVFvIuYJ9/kgs5lrRuaVmyz+9gmBKof40K7kkWWl5XBfnZLkcX8wb/BKyCaO9v6Fa9AfXYz053Y4gnEvi102+DOkAIE61eOhPr0V8yJpe7VtBaqnJQ98NvWn6WTw6Y4a3mXY55LF0rQ7P1OImnFI/bD1cNHjnLvq+mQ4RcE7BTub7+MRmiqLbrvOHrA8gROaX3QDsIG2LSuqxDec4jlE5shw5mTx9BmjXhTyaUxeWjWsrUZolMIcxKo3Ep7MNRvrjZnilrHSnrvWcRc2sXG611fgHrkR7WORwPlQyB3dhR8y/KEv5/DZiP26TEWEaj/6DWoz2xisVMaPYjIiT9ZJBcFJQJEgAgQAesSkLr+SAV068634rJJvYAVB5QM2SQB/Zezoc5ZzLxn1wuEfx3vKz+o24nAX55jMS+hEZrRizJFra/UXRsRsW8U83TSri3c43Ik9aj/IgHqXOHEQEb9SIRM/UNSTZS8egQK4wPgYRRepqeo30fkYy9Vb7DET53ReqMNhDs3Dzz0CUIfGiixKkqvpPvpK19P0Qsx44SCOs229QkYlv8HqvPbWGKDy0Co3vrE+kLMlPFIhh6dtvRm0e4Y7eEYf8FM0SlMTQkorTBo2rXourE+GsafqSkWet4CBC5q3dEcV1nkrEe/RNADfS2QyfwhL5w9hRYr/EWBS0ZmwMW1g/mTUcQ6Edi/+ElEXf2TxdC5D4fm1WV1immuwYnLhyL2vNBBxtD6GahGCR3NzJWH4lifwIn4zmhvLGaJLdlWPXHrcsSmz2S5qAOj9eebMhIBIkAELEVA6vojFdAtNbM2ElfqBWwjmMmmwgmYtlRLalb3F/O5aX/B9/snGLlSoyOc4s8pnKRt2UvethLRKVOY6SMO3ug0M01SCIZvFkJ1cC7TcKheEAKm75NUEyWvHgHTInR697UIe1hoJ1y9KNI8VenlTJcViOgl3CUsjSrKWlJ8HC6rQkQgLozKRovW7biDo1s7DpoTQnF2f5OHEfXO99z5UJLg5KUDEX1ZuPNc5/YiNK99wK1FuktYXlNXmJsOjy+6iUSVTj0Np/rO8hJaTTVHDuxDp+8er/C5wAFO8cLGs2qGoccsQKA0riWc7MpY5NynfoJv+IMWyGT+kEraKGd+OvKKmL6gF8JuGJgonfdb0AwTPrNJqZa6/EhJ37K5L2g90KLCveSZPT9HcFeh2445s+em7oXvD/1YyHKjHW5OLEDDxs3MmYZiEQEiQASIgAQEpK4/UgFdgklXUkqpF7CSWJIX2yWQPr8nwm4mCR9ozXBfU1UvYu9MPwvHek62C1phzuVYrE7c+gFi02cILwEdfeE7I1lh5JVp50qcK5rY3WDmDj3+DQJUwmlIObs+lhAG7/J8JpGn+0PlzLWu2k7kZaL9xgdEYW5OLoJzg0Z1DW318br1k6EpWMXypjZ8ABGTdlhdByUUCKQufBwR14UNWjqvN6B5aT63iE4ezYL7hi6K+PfC7SRUEJ6X/jd8tgqngG8bHVCP44Jz/qFkeG16RDQ1xlkXYGdvr4Tp4tbDrZvXUX++eFNZ4Qt74eEbxoWn26W3UG9eG5HW48/vQQc/cVt3LswoXGTWvK4IKs1gLvWdJ0M9ZJosXOs+HgXNKeE+9uSmjyJ6/Ley0EYiak/AWF6OO/EuqGelDUI3rl2B00IPONgZmeic/j/AL/Kh2pugkUSACBABIiALAlLXH6mALotlwK8IqRcwv+RIOREQCJi2Tk6OnI/o/m/UCVHx8Vy4fiK+Z/bKuGNo0kx8H22dktBgSQnoP58F9ZH3mYYDzjEInSKcxpNCXPL2NYhOmsBS59t3gNcs4WWNFJoo5/0J3H3BUR7fUvTC4ciAnegUKi7m3D+SNE8cnhOLzncOs+SJIVrEDhwnjRjKygiYnni825LaIe4clwUb/YaZUB9dzrylO8cgTOKft7a+1DLf7Y7gW0LXFb3fRKifFzZw8canuDAPruuiRLKvjs9H46YteLOiCL0H9T8j8OfBzAvvd4YX5mXAY2NX0dzwfKJeEYsMQFUt0M++lo7Wbl5cWLz796MxviXsKxSsjj6zCx2DVVzotyWRuXOi4Xsnl1lOCk1AzIC3ZYFAt24CNIVrmJaURt0QOVFo6S4LkSSixgTuFrQbLGovGnfyxX1w7xhU41jVHWD6Xi0xJB6xA8dWdzg9RwSIABEgAjIlIHX9kQroMl0YvMiSegHzwol0EoF7ESi7cwdls9uIWvdl990C/5iedYJ2saQYzT/sLIpBd9LVCansBuvXjof6hHA/XErj7oicINwHK4Vg03vZT9i5on2cUNiUQhPlvD8BKV5w3F9V9Z/ImvcggkoPsAFyOlVTfRfKe/KQ4RcE7BzEjF1GQzTVnuLSqP7LOVDnLGLaM+uHI3jqHi69KEV05Y0zfL8kLSkuhMuqYNH0XHzrMJq7uCplyrjyceCPbxG6ZwTTfAYt0UZ7jCsPFcWeKjiMdutjRfqvvVOARk2ac+tJCcKLjmXD7TNxsZm3jTM341zgbHebTUdO/23wi+yuhOlRlIeChGB4lhcyT/tjliCq7yuy8Kj7bDo0xz5kWtIbqBA2eZcstJGI2hM4W5SP1qvF3TQsfZVTyuJ+iLy6V/hM2PpZqEetrb0JGkkEiAARIAKyICB1/ZEK6LJYBvyKkHoB80uOlBOB/yNQ1Qutc29koVVb8W7dmvK6ef0qnBe6i4ZZesdvTTXS83UjoP/oNajPbGJBEpv3QezYr+oWtI6jD/y5BaF/vsyi8P7CuY44uBleVeHGHD+HrAUgfcGjCLuRyNLpOo6B5sXZ1kpPee5BQEkFKMM3i6A6OIc5PVQvEAHTdTT3EhLITwiBV/lxpkBOxYDaYLl0/iyaLfcRDS157QBc3DxrE47G1JFAys71iDQIp9YK7dzgEXeojlGlG15SVACX1aEiAZfG5KFZy9bSiaLMOJppQMdve4lIlM88D3sHB27oXNa6oSmuCb8fOboCiBvIZhBarPWBK86ySGkPfozwR54zQ+S6h6BNinVnKMcIVV0peHvaGdRzqm8xubpPJkFz/GMWP8spDEHThIK6xRJTYCJABIgAEbAoAanrj1RAt+j0Kj+41AtY+YTJodIJZP69DcG7/8NsXjM6o2HcqTq3uKWWekpfOUDi+y8g9sJPzKheBjuss/btQNCuIUzTRTRGc+1J5U8G5w6runv3xsQTaNCoCRfOTE8b6DxegWbEEi60K1lkys+fIlIvtAfluQCVuHU5YtNnsunKcfSD34wkJU+f7L2d0vqgXYViQHq3jxHWQx7FgNrAu371Ehou7iAaemp4Itp5irsJ1SY2jak5gaTvP0RM2nQ2MM+hE3xmptQ8kExGVNUqvGRkJlxcPWSi0DZlZBt2wX/ns6LPgY3iT3MFo0TrCRdcZJozemxASLcnufJgC2IvaNujBa4wq5mPbkTwA/1kYd2weTFUWcLG1+x6gfCnTYqymJu6iMhO2g3/7QNZiOvG+mgYf6YuIe871rQb3gU0QfNZx+v8bu2+iekBIkAEiAARsCgBqeuPVEC36PQqP7jUC1j5hMmh0gkkfrsUsZnxzOYRB290minc6VkX/9fj2qCh3S0WIvuJ7+Af/UhdQtJYGRHYv+QpRF35gynSuQ+H5tVlkirMSfkTftuEl2bW+KAsqWGFJDe9q7rMaAf7uPPcvGxIeu9ZxFwSWj3qXV+AeuRHCpkdfm0oqQCVvG0VolMms8k4au+FjrPS+Z0cBSg3LQZk9foKQV36cOvsdukt1JvXRqS/cOjf8PAJ4dYTz8INmxZAdWges3CwXjACp//DraUrl86jyXveIv3FI/bD1UPc9YBbg5wKN+3cdBYt0Fqbz5Ub05PNvG9m4gp+DcRWbrX/A/wiH6pBBMs9mvT9CsSkTWMJeN+wZDlSfEWWohNVVZvCqZsPX+uG1BIBIkAEqiIgdf2RCui0LutEQOoFXCfxNJgIyICA7uPR0JzawJSkNHoQkROFU8V1kXhO2wGtcImFyHxkA4IfpBMBdWEqp7HpC3oh7IaBSdJ5vwXNsLmSSjRtRVlutIMdR4VYSeFJmPyg/mcE/jyYKeDtrmrDBy9Cde4Hpt/gMgCqt9ZLSJRS3yVg2DQfqkPvMhgHnUIQOO1vLuGYtnM+bu+ODrMOculFKaJvxbmgfoV7d3Of+gm+4Q9ya+9u5yC7hBYi/fmDf4NXQDS3nngWrt8wE+qjy5mFA84xCJ2ym1tLN29cg/MCN5F+utpJ+ulUwlUBhfEB8DAWMZipmuWI6D1MerikgBEou3MHDnNayfb3y/4d6xCVOJ7pK7D3gOesTJpBzgkkb1+D6KQJVp3X8rIy3ExoJzpEcuChTxD6kHASnnOsJJ8IEAEiYJMEpK4/UgHdJped+UxLvYDN54QiEQFpCJi2HjbnycmieF+4GYU2WWldVyG8p9BeWxrHlNVcBA7O64rA0gwWzhAwFarBU8wVvlZxCvMy4LGxq2hs6dTTcKrvXKt4NMg6BNL/2IywPa+wZLzdXa9f+TrUp79m+hOb90Hs2K+sA4+y3JOAbsNMaCoUoNIbxCJs8q9cEkvb/RXC/x7JtBfZtYFbXC6XXpQguqrT2sef34MOfuFc2yuNawknuzLmIe/pHfAJe4BrT7yK1617B5rCtUx+SuNuiJzwI692UFUBrWDIHnh25vvfDLcT8j/hpteD5Dr4wHfmfq5sHUsIhXd5AdOcHL0I0U+8xpUHpYu9evkCGi/1EtkseikRbl7yuCKE/sZS5gqs1JrfMQD+M/QWN3t4Tiw63znM8uh9xkI9VOj4aHEBlIAIEAEiQATMTkDq+iMV0M0+pbYVUOoFbFu0ya0SCeTNjoRP2RFmzRA4A6pBE81iNT8hBF7lx4UXGjGLEd33VbPEpiDSEzBdO0nh8xDz1ChJhRUX5sF1XZRIw+WxR9G0ufjUg6QiKXklApVPfrSH56wsbkjp1rwNzclPmd79TXog6p2t3OhXqlDd2nHQnPhEmJfGDyFqgtApgCffGXu+Q8gfw5lkHtvs8sT7flovXShBs/c7iR4782oa2riLW1TfL47cvm969c7hJ7aic3QPucm0CT36lSOhPi1sxEpq9hhixm3i2ntZXHM42BmZh6PP7ELHYBXXnngXr/9qLtSHFzIbWU6hCJr2F1e2cudEw/eOsKEsMWw2Yp8ew5UHpYstKSqAy+pQkc0Lo7LRonU7WVjP2LsVIb+/xLSUoDlctMKmDFmIJBE1JmC6kdZanVwSlw9F7Hlhw1tSs16IGbe5xvppABEgAkSACMiHgNT1Ryqgy2ctcKlE6gXMJTQSTQT+R+Buu84rCe5oiuuMSUaPTxHS7WmzMMqZEwO/OzksVlJoAmIGvG2W2BREegJybJl44ewptFjhL4JTMjITLq4e0gMjBfckkLhlGWIz4tj3cxz94DcjiRtiuk+nQJO/kulNbdgFEZN2cqNfqUL1H70G9Rmh4MRzZ4CsfTsQtEvo4HIBTdBCe0KpUyd7X6dPHEHbtZEinUrYrHVJ64ZmuMZ8HXxsEwLVj8l+PpQoUIlXg5jegZz75I/wjeimxOnjxpPp3y9pDTUIn/QzN/rvCj00V4OA28KVJubcDM4VCBmLPZGXifYbxd1Mbk46CeeGjWWh+pDhFwTsHMS08HaVlCwgylCEbvUYaIo+Y8qstcFZ/9U8qA8vYHmPOHREp5mpMiREkogAESACRKC6BKSuP1IBvbozRc9VSUDqBUzTQgR4JnCxpBjNPxS3Tjv5oh7uHQPMYitr3oMIKj3AYuk7T4Z6yDSzxKYg0hMo0XrCBReZEHNuvqitu2tXLqLREk/R8FPDE9HOUx4tAmvrS+nj9F/OgTpnEbOZ5RSGoGl7ubGt/yIB6twlwr+F+pEImfoHN/qVKtT0BIi+9bNQjxJaIvPkOztpN/y3C/cnXjM6o1H8aZ4sKEprweE0eH7VXeTpzvSzcKznxLVP09/rmY9sQPCDT3LtiVfxyUufQfRl4coJXbuh0Ly+glc7/9V9Jc4VTexuMA/Zfb6Ff+yjXHviXbzu49HQnNrAbCQ3eQTR73zHla3Md7sj+Faa8HnTbyLUz8/gyoPSxR7J0KPTlt7MZrnRDnZx52Fnby8L67mpe+H7Qz+m5ZaxHurHl8hCG4moPQHDB8OgOvc9C2Bo9SRUo4Wfd7WP/O8jTTe9lhodYTe9CPWc6lsqJcUlAkSACBABCxOQuv5IBXQLT7DSw0u9gJXOl/wpm0BOyp/w2ya8GL1tdIDdjGKzvQBOX9ALYTcMDKLO+y1ohs1VNlQbcnctri0a2d0UXoT23QL/mJ6SErhzuxSOc1uLNNAdm5JOSbWS69ZPhqZgFXuWtxPchm8WQXVwDtN/qF4gAqbrquWdHrIcgeQlAxB95Tfhd5DbMGheW265hBaMnJf+N3y29mUZSo0OcIo/b8GMFPrfCCj1ZXuxthNcIRQN0ruvRdjDz9JikIBA6qK+iLj2t/Dzq8Pr0LwstNqWQFKdU17QeqAFLrM4Wb2+QlCXPnWOSwFqT8Dw4XCoSoSCuaFlf6jGfF77gBKMTJ/fE2E3ha5F+o5joH5xtgRKKOW9CGQn/gr/Hc+wb8ttE2D+oWR4bXpEJL985nnYOzjQpHJMIHlFdNi7AAAgAElEQVTpQERf3i38Hm33IjSvf2BxR5fOnUazD/xEefIH/wavgGiL56YERIAIEAEiYBkCUtcfqYBumXm1mahSL2CbAU1GFUkgdddGROwT7qw+hdZop80zm9eUxf0ReXUPi6dvPwLqV5aaLT4Fko5AeVkZ7Ge3FAk4Nmg3vANjpBP1v8y341qinl0Z03FkwE50Cu0iuS4ScG8ClU5ANe2J6PFbuEGW9P0KxKQJ3TXyHDrBZ2YKN/qVKjRt4WMIvy5sZNB7jYL6pXlc2qWXu/Katqx/tiPo1+eZKKW01D8R3xntjcXMV2qXFYjoNVRe8G1EzYH5PRB6c7/wN7TPOKiHarl2f1brhda4wDzIoXMR10DNID7pvWcRc2mXsM7aDoH6DWFDoxlSWDxE6sI+iLj+D8uj8xwJzXChfbLFBVCC+xKQ+x3jJ49mwX2D+LOinFrM3xcwPVAlgfQFjyLsRqLws8F7FDTDrPM54IzWG20gbHTdH7sUUX1G0EwRASJABIgApwSkrj9SAZ3ThSMX2VIvYLlwIB1EoDYEEr9ditjMeDbU3PcOJy17DjEXhXuA9Ry+lKkNV1sYc/XyBTRe6iWyKpdW6XI8GW8La6IuHiudgLJSi726aK44dv+O9YhKHMu+VGDfHp6zsswVnuLUkkDWvG4IKk1no/WdJ0E9ZHoto0k7rMr7QycXwblBI2mF2Wj2tN++RvhfrzP35t6AKBXWgoRgeJYXsvT7Y5chqs9wqeTYdN7suRr4V7zXOWgmVM9O4JrJKa0P2uEs85De7WOE9XiOa0+8i6/c6eA1aF4WrtThwd/+JU8j6srvTKrO/SVoXn2fB+k2o9F00/5Ju7Zwj8uRjf+zRflovTpMpOfS6Bw0a9VWNhpJSM0JHJqrQUDF36OB06EaNKnmgWox4tDcLgi4LXwWNARMhWrwlFpEoiFEgAgQASIgBwJS1x+pgC6HVcCxBqkXMMfoSDoRgO7TKdDkrxReZDVQIWyycAqhrogqF8Wegmr0Z3UNS+NlQKCkqAAuq0NFSi6+dRjNXVwlV3de64GWFVqEZj66EcEPCPfaSS6QBFQiUOkElOsLUI/8iBtS6b9/jbC9QjGtGK3hasZuHtyAkJnQnDkx8LsjvKBNCk1AzIC3ZaayenKKC/Pgui5K9PCVccfQpJm4E0j1otFTdSWwf/taRCW9w8Lk23eA16yMuoaVfPyR2eHoVHaM6UiOXIDo/iMl12WLAirPxXxE93+DaxSF8QHwMBYxDymaDxHZ+z9ce+JdfMa7DyHkViqzofcdD/ULcVzZSnpvMGIu/Sx4oA3bspu/5G2rEJ0ymek6Zu8F71nCBkepBVfVcvvMq2lo4+4ttTTKXwcC+Qkh8Co/LvxNE7UQ0f2Ez2t1CH3foZWvMrTe6ff7iqMHiAARIAJEoMYEpK4/UgG9xlNGAyoSkHoB02wQAZ4J6D96Feoz3zALic37IHbsV2azpF/1JtTFX7B4Sc16IWbcZrPFp0DSESjMTYfHF91EAkqnnoZTfWfpRP0vc6U7XLutQViPQZLrIgH3JsD7Xa+Z//yI4F+FNscX0BQttMIpTpp7aQhUPk3Lb/vEkuJCuKwKFoE8/+ZBtGzjLg1cG8+auGUZYjOEItNhx87oPENoE8orHtNNJ4lhcxD79Ghe7XCt+0S8P9obTzEPSig2mxYzqKWt9Ev08JxYdL5zWPgsGByH2GfGSy+sBgoMy/8D1fltbITBZSBUb31Sgwj0qKUJGDYvgSorgaU57OiPzjMMlk5b7fg3r1+F80Lx31MnX9wH945B1Y5BD8qPgGkb9XQrvhNIXjIA0Vd+Y1B0Vrp/XX6zQIqIABEgAsogIHX9kQroylhHkrmQegFLZpwSEwEzELD0H/a6TyZCc3y18PKvUTdETvzRDMophNQE8tL/hs/WvkxGqdEBTvHCPV9S6jM94ZSqWY6I3sOklES570OA9xNQ2cm/wf+nAczldWN9NIw/Q/MuMQElbaa5dKEEzd7vJCJ6+pUUtG0v/prEyG0mvf7LOVDnCG2OM+uHI3jqHu79V2p3GjQLqmeFk/bcG+TIQInWEy64yBRnPLweId2F3zMcWWFSj8yOQKeyo+z/kyP5P1XP4zxU1JyfEAyvCtc2JMcsRnTfV7myZVgxAqqz3zLNiS37IXbMRq48KF2s/osEqHOXCD/P6kcgZOqfsrFdXlYG+9nijj7HBu2Gd2CMbDSSkJoTqHSt2+Ob4a/qVfNAtRhh+GAYVOe+ZyMNragTYy0w0hAiQASIgGwISF1/pAK6bJYCn0KkXsB8UiPVROD/CGS+2x3Bt9IYDnO37dN/PgvqI8IddAecYxA6ZTfhVwCBrH07ELRrCHNyEY3RXHtSFs6OJoShY3k+05JsxXZtsgDAoQjeT0AdzTSg47fCC5lyox3s4s7Dzt6ew9lQjuSLWnc0x1VmKKvXVwjq0odLg3Q6Sl7TZnoFTmrDLoiYtFNeImuhJmteNwSVCm11Df5ToHpuai0i0ZC6Erga54rGdjdYmOw+38I/9tG6hpV0vJKu1ZAUpBmTV95oxt+99JU7nvVGzDihw5oZcVGoWhLQrZ8MTcEqNlqOvzNvxbmgvt1tpjH3yR/hGyHutlZL+zRMAgJ3bpfCcW5rUeb8wb/BKyDaKmp0H4+C5pSwkSe5aU9Ej99ildyUhAgQASJABMxPQOr6IxXQzT+nNhVR6gVsU7DJrOIImBYakyLeRcyTb5rNp2HTAqgOzWPxDtYLRuD0f8wWnwJJRyDtt68R/pdwh9gptEY7mdz5XKkFbUg8YgeOlQ4WZb4vgUp31HF2AupEXibab3xA5PPm5CI4N2h0X+/0gOUIlMa1gpPdHeFl6FM/wTf8QcsltGDkqk5HFQz+HZ4B4nvRLSiBQlcgoFs9GpqiDewrSnkxemD+Iwi9mcx8mXtjJS2i6hEwlpejPL4lHOyMbMCRgb+gU4i6egFk+tShuV0QcDuLqTMEzYTq2QkyVWsbsi5r3dAU15hZHjea6daOg+aE0LJ9f+OHEDXhB9uYQE5c6j4eDc0pef/OvKxth6a4Lry3eGwTAtWPcUKYZJoSqOpee2t2btJ/Og3q/BVMVnoDFcIm76KJIgJEgAgQAU4JSF1/pAI6pwtHLrKlXsBy4UA6iEBtCJi2hzzw0CcIfWhgbUJVOSZx6weITZ/Bvpfr4APfmfvNFp8CSUcgefsaRCcJLz3z7TvAa1aGdIIqZM6a1xVBpYIWQ8BUqAZPkYU2ElE1gWKtD1xxln0z7cGPEf7Ic9zgOnPyGNqsCRfpvTQmD81aik8+cGNIAUJLb92E07ttRU6OP78HHfzE88ST1dtxLVHProxJPjJgJzqFduHJgmK0Gj58GaoS4SSRodWTUI0WigO8Gk1b+BjCr+uYfJ33W9AMm8urHW51V9Vx4sTQf9DeJ5hbT3eFV+p81Xky1EOmce2JZ/F3N2qUxbeCo105s5H39Hb4hHXlyhYPp5u5AmoBsaa/M+XYZr/StRk9PkVIt6ctQINCWoPAyaOH4L5BvOns2jsFaNSkuTXSw7BpPlSH3mW56CCJVbBTEiJABIiAxQhIXX+kArrFptY2Aku9gG2DMrlUIoG7p9nKE1xMXprsgE+Y+BRlXbzv37EeUYnCyd8C+/bwnCWcPKlLbBorLYHEb5ciNjOeiTjs6I/OMwzSivpf9kon6HzGQj1U0CoLkSRCROCS1g3NOD4Bden8WTRb7iPydObVNLRx96aZloiAEufkelwbNLS7JfzcfWIrOkf3kIiwbadNWvYcYi4KLdv1bYdA/YbQnpZXOimL+iHy2l4mX9fhdWheXsirHW51Xzh7Ci1W+Iv0l4zMgItrB2493RVe+e+zcVAP1XLtiWfxVW3UKBz6Nzx8QriyRVeGyX+6EpcNQezFHUyovs1gqN9cLSvhRfF+cDOeZprSHliJ8Eefl5VGElN9Annp/8Bnq3Bt0x2jPRzizlnteq2kHz5CTKpwBc5Rey90nCVckVN9J/QkESACRIAIyIGA1PVHKqDLYRVwrEHqBcwxOpJu4wQulhSj+YedRRTM3dYq/fevEbZXaPNdjNZwlUmbbxuf/jrb13+RAHXuEhYno34EQqb+Wee45giQurAPIq4LVwXoPEdCM3yBOUJTDAsRKI1rCacKJ2t5OwF16+Z11J/fTkSHx5fQFppeScIWF+bBdZ24vfnlsUfRtHkrSfSYI6npRpODvb9GoOZxc4SmGDUkkLK4HyKvVig0e7wKzYjFNYwiv8f3L3kaUVd+Z8J07sOheXWZ/IQqXNGpgsNotz5W5PLq+Hw0btqCa+eVOxyMgmaYcNUT1+Y4FH/u9Am0WhkkUs7jRg39V3OhPixs9MlyCkPQNOHnM4dTozjJ+xc/iairwudEOf5uKUgIhmd5IWO/P3YpovqMUNxc2IqhzH9+RPCvQ5ndi2iM5tqTVrOf9uuXCP/nDZavyK4N3OJyrZafEhEBIkAEiIB5CUhdf6QCunnn0+aiSb2AbQ44GVYMgYLDafD8qrvIz60pp1DfuaHZPGb9sx1Bvwo7ty+gCVpoT5gtPgWSjoDuk0nQHP+YCUht1BURE7dLJ6hCZioAyGIaqi2iyuLzC3vh4RtW7RhSP3i3DaoxviXsK9xXe/SZXegYrJJams3mL8hOgefXD4v835l+Fo71nLhlQu1F5TN1B+b3ROjNJCZIr5BOJ0nvDULMpV8EX64vQD3yI/mAtxEl+YeS4bXpEZHbshnn4ODoyDUB6nAgr+mrqsXx9QnH0bBxM3kJvY8aw+YlUGUlsKeyHQPgP0PPlQeli01f0AthN4ROZTpv+W2eyZsdCZ+yI2wqksLnIuapt5Q+NYr1l7prIyL2jWL+iuzawi0ux2p+Td+DXUIjNNMWWS0/JSICRIAIEAHzEpC6/kgFdPPOp81Fk3oB2xxwMqwYAgd1OxH4i3DH8GU0RFPtKbP6y0nZA79t/VnMG0YnNIgX7jk2azIKZlUC+lVvQl38hfCSoVlvxIz7xqoa7pVMqa11ZQHXAiKqbFX72gG4uHlaIJvlQpq2185+4jv4R4sLIJbLTpFNCeSm7oXvD/3Yl28Z66F+fAnXoE5pfdAOwu/QtAc/Rvgjwu9xrs1xJv7Q3C4IuC1cSWMInAHVoImcuagsN/H9FxB74Sf2DX2bQVC/uYZ7X7wZyEn5E37bnlTc38/JSwYg+spvzJccT6HytlbqovdIhh6dtvRmIcqMdrCPO2+1Fsd10V5xbNL3HyImbTr7Up5DJ/jMTDFXeIpjBgJZ8x5EUOkB4XdL50lQDxHmzAwp6hwie64G/rcPsjiGoJlQPTuhznEpgDQEErd+gNj0GZL9XJC6hbw01CkrESACREC5BKSuP1IBXblryyrOpF7AVjFJSYiABQik7FyPSINwP3mhnRs84g6ZNVNVJ2jKZ56HvYODWfNQMOsTMHwwDKpz3wsvGVwGQPXWeusLqSKjnLXJApDMRBTlH4bbp/y3qj2v9UBLXGZ0M3t+juCuwgYimWFXvBwldkApjA+Ah1E4vZKqWY6I3sMUP5dyNHhkdgQ6lR1l0pIi3kXMk2/KUWqNNBk+HA5VyXfC7/ZWT0E1+rMaxaCH607AtPXsBTRFC63QWrjuGaSJQB0OpOF+r6yHDL8gYOcg9u0rxgZoEl8sL5HVUJO8fQ2ik4RCZ759B3jNyqjGSHrEWgRy5sTA745w+jcxJB6xA4X3ENbS8W95Mt/tjuBbaewRvd8EqJ+fKQdppKEWBPRfzoE6ZxEbmeUUiqBpf9UiUu2GnDyaBfcNXUSDeezwUTv3NIoIEAEioDwCUtcfqYCuvDVlVUdSL2CrmqVkRMCMBAybFkB1SLh3MLteIPyn68yYAaiqMEYfHMyKWLJgyUsHIvrybpZf1+5FaF7/QDI9FRPrV74O9emv2ZcSm/dB7NivZKGNRFQmcCzLAO/NvUTf4HGjTbHWB64VTgend/sYYT3odLBUaz7tt68R/tfrLP0ptEY7bZ5UcsyS91hCKLzLC1is5OhFiH7iNbPEpiA1I3Ai3h/tjULXnhTNh4js/Z+aBZHh0/qPXoP6zCbh92eLvoh9+0sZKlW2pLTdXyH875GK+vl11wx1OJDXuk3/YzPC9rzCRJ1BS7TRHpOXyGqoSfnlc0TqhFbbJ+zaoX1cdjVG0iPWIlDpfvGYJYjqK6w9a+n4tzyV28y/Bc2wuXKQRhpqQUC3bgI0hUIHndSGDyBi0o5aRKrdkKo6rJ19LR2t3bxqF5BGEQEiQASIgKQEpK4/UgFd0unnP7nUC5h/guTAVgnoPpkIzfHVzL4lPlScO30CrVYGiRCfeyMLrdq2t1XsivGduvBxRFzfx/zoPEdCM3yBLPzp1rwNzclPmZbkJo8g+h3hRJ0sRJIIRiA78Vf473iG/f81ozMaxZ/mjlBBQhA8y08w3ftjlyGqz3DufChFsBJPpOXOjoJvmbAJIDFsDmKfHq2UKePKh1Lvo9d9PAqaUxvZXCQ164WYcZu5mhsliFXiz6+781Kpw4GMuhcpYd3U1MP+HesQlTieDSuwbw/PWcLVFDWNJ9Xz6b9/g7C9r7L0xXCBq1a4y1oqXZRXIGC6yVSOV9CkLO6HyKt7hc+2Hq9AM2IJTSOnBAwrRkB19lumPtHKGwJLb92E07ttRfQKhuyBZ+dwTomSbCJABIiAbROQuv5IBXTbXn91di/1Aq6zAQpABCQiUOklVsv+UI353Kxqrl+9hIaLO4hiFg0zwM3b36x5KJj1CVRuczcR6ueFe8asr0jIqFs/GZqCVewLltgcIqU/peXO2PMdQv4QCs0laA4XrXDKlhe/ebMj4VMmvLBNCp+LmKeEE1G8+FCKzsQt7yE2Q8vsHHbsjM4zErm2R/dzymf6rsa5orHdDSYou+8W+Mf0lI/AWirRrR0HzYlP2Oj9TR5G1DvCdS21DEvDakggccsyxGbEsVE5jn7wm5FUwyjye1z/0atQn/mGCUts8QRi3/5CfkJtRJHpOst19IXvjGTu3Gf+vQ3Bu4UOIOfRFC0VcOUBdxPxL4IvaNujBa6wJzIf3YjgB/rJymLy0mcQfflXpknXbig0r6+QlUYSU30Cpt3y9K4vQD3yo+oHMMOTN+Nc4Gx3W/gs8sRWdI7uYYbIFIIIEAEiQASsTUDq+iMV0K094wrLJ/UCVhhOsmNDBCrtsm7/MjSvvGdWAuVlZbCf3VIUM3/wb/AKiDZrHgpmfQKmd9klhSYgZsDb1hdSRUb9xjio85ax7xxwjkHoFKHdvCxEkghGIOXnTxGpF9ZOoZ0bPOIOcUfo0FwNAm4fZLoNgTOgGjSROx9KEaz/cjbUOYuZncz64Qieuodre1nzuiGoNJ150HeeBPWQ6Vx74lG8sbwcxviWsLczMvnHnt0F7yAVj3ZEmk03oKU0ehCRE3/i3hdvBirf3RqGoGnCyUje/Px/vfpVb0JdLBTMk5r1Rsw4oaDOqy9edZv+nsxy4nOdZRt2wX/ns2waeL3Lndd1VB3dpoXEnP4/wC/yoeoMtdozicuHIvb8j8Lf8a2fgWrUOqvlp0TmJZC+4FGE3RA2zuq8R0EzTLi+0LzZqo5WqVvRw+sR0n2ANVJTDiJABIgAETAzAanrj1RAN/OE2lo4qRewrfEmv8ohcHBeVwSWZjBDlnoRfyOuNRrYlbI8cvzArJxZtZ6TSnfZxS5FVJ8R1hPwL5kMX78LVfZ89kSWUyiCpv0lC20kojKBxK0fIDZd6F6Q59AJPjNTuEOV8e7DCLkl6Nb7jof6BeEEIXeGOBdcuRNFF0RM2sm1qwPzeyL0pnAKVe8zFuqh8Vx74lH8jWtX0GCR+CoapXTX0W2YCc3R5Wxa0hqoET75Fx6niWvN+k+nQZ0vnHxMa6hB+KSfufZ0V7xuzVhoTq5nPvY36YGod7Zy74tXA0r5PZmbuhe+PwinmW8Z66F+fAmv06I43WV37sBhTiuRLzluqK/U8rtlP8SOEa40UdzEKNzQ4TkqdL6TzVwagmZC9ewEq7oujA+Ah7GI5UxRLUPk43S9l1UngZIRASJABMxEQOr6IxXQzTSRthpG6gVsq9zJN/8ETAugyTGLEd1XuD/OXA4vaD3QApdZuKxHv0TQA33NFZ7iSETgtLYj2uIcy57efS3CHhZOf0gk679pldi6WUqels5tuuHhoFMIAqf9bem0Zo+fuvBxRFzfx+LqPEdCM3yB2fNQwOoR0K0eDU3RBvZwctOeiB6/pXqDZfpUpTXm9QY0LwmbhWQqW3Gyzp0+gVYrg0S+zr95EC3buHPvVf9FAtS5wp2vB5yjEDrld+598WZAt+ZtaE5+ymQrpdCs+2QSNMc/Zr5SGnVD5EThxCdv88S7Xt3Ho6A5JRQIef09eSzLAO/NvUTTYZx1AXb29rxPkSL0X718AY2Xeom8FL2UCDevzrLyV/nfw6OIHi/coS0rsSTmvgRMi9f7Y5chqo91i9e5c6LheyeXaU0MiUfswLH31U4PEAEiQASIgPwISF1/pAK6/NYEV4qkXsBcwSKxRKACgUp3kfX8HMFd+5udUbHWB644y+Kmd/sYYT2eM3seCmhdApe1bmiKayzpoce/QYCqt3VF3CNb8rZViE6ZzL57xMEbnWamyUIbiahMQPfZNGiOCSft0huoEDZ5F3eo9i95GlFXhEKTzv0laF59nzsfShFs+PBlqEqEgrmhZX+oxnzOtb2Uxf0ReVVoQ69vPwLqV5Zy7YlH8SePHoL7BrVI+s1JJ+HcsDGPdkSaDZvmQ3XoXfY16uAizZTqV7wC9dnNLHlii76IfftLacSYMavp73ulnKw3IyKrhjJ8MAyqc9+znIZWT0E1+jOrajBHssK8DHhs7CoKVTr1NJzqO5sjPMWoI4GS4uNwWRUiiiLHTWe6de9AU7iW6Uxp3A2RE2iDTx2nX7Lhpoc4Mh/ZgOAHn7Sqnsx3uyP4lvAOQu/7DtQvzLKqBkpGBIgAESAC5iEgdf2RCujmmUebjSL1ArZZ8GScawJ3bpfCcW5rkYdjg3bDOzDG7L4qt/q2/u5fs5uy8YB3738ti28FR7tyRuLIgJ3oFNpFFmSUcqe2LGBaQYRu9RhoioQXtryetEtcNgSxF3cwYvo2g6F+c7UVCFKKqggkLXsOMReFlu36tkOgfmMV17CSlz6D6Mu/Mg+6dkOheV3YfMK1OY7EH800oOO3wmnHMqMd7OPOK+K0Y+K3SxGbKVwLkF0vEP7TdRzNjjKkJr7/PGIvbK/w+2QQ1G+u4d6cfqMW6rz3mI8DztEInfIb9754NWD6O0Xv+gLUIz/izk7x8Vy4fhIt0n1l3DE0adaSOy9KFHzyaBbcN4g/I96YeAINGjWRlV3dZ9OhOfYh08Trhl5ZQZVITHlZGYwJreBgZ2QK8p7eAZ+wB6yqKHVRX0RcE7qq6TxehWbEYqtqoGREgAgQASJgHgJS1x+pgG6eebTZKFIvYJsFT8a5JlDVTvCSkZlwcfUwu6/c2VHwLctjcRPD5iD26dFmz0MBrUfg5vWrcF4oblV78sV9cO8obmlrPUXiTOm/f4OwvcJ1BMVoDVetsAal0kV5qyZQ6c7BFk8g9u0vuMOlxBPP3E1CBcEpi/sh8upe9hWdxyvQjBBaU/PoTalFNd7mIjvxV/jveIbJvmJsgCbxxbzZqFJv0vcfIiZtOvterqMvfGckK8IbTyaU2tFE/9U8qA8LV5tkOYUhaJrwc5qnOVKCVqVcPVNSXAiXVcGiKZHjCWclrJnaeDiSoUenLUKXsnKjHexkuOlM/+VsqHOE4mZm/XAETxW6/tTGO42RhsDli+fQdFlHUfJTwxPRztO61wZU3sz7HNRvCNeYSEOHshIBIkAEiEBtCEhdf6QCem1mjcYwAlIvYJoKIsAjAdO74u5+kC2fcQaO9ZzMbufgvK4ILM1gcQ0BU6EaPMXseSig9QicP3MSLT8KFCW01AaM2rjK/Hsbgnf/hw09j6ZoqS2sTSgaYwUCSnm5oF/1JtTFQuE/qVkvxIwTWvBaASWlqEDgwPyeCL2ZxL6i7/Q21P9J4JqR4cPhUJV8J/w+5bTdLteTACBjz3cI+UO4R/MMWqKN9hjvtv6rP/mn1YhOnsi8HLX3QsdZ6YrwxpOJtAW9EX5DL/z88hoF9UvzeLJQpVbD5sVQZc1m3ztULwgB0/dx74tXA5XaC/tNgPr5mdzZuXShBM3e7yTSffqVFLRtL/4ad8YUIth009k1ozMaxZ+WnTvTn0/UgUV2U1RtQUXHsuH2mUr0/NXx+WjctEW1Y5jjwUrXsTTvg9ixX5kjNMXglMDd7gilpTfh3KARpw5INhGwXQJS1x+pgG67a88szqVewGYxQUGIgJUJZP71A4J/e5FlvYCmaGGhAmP6/J4IU1gRw8rTJbt0Vd3/KqdWfNlJu+G/fSDjdtXYAI0VcjpQdovBDIJSFvVD5DX+Twrr1k2AplBosZvSqBsiJ9LdiWZYIrUKcWhuFwTczmJjDYHToRo0qVax5DJI/9FrUJ/ZxOQk0os4SaYm9ZfPEKEbw3IX2rnBI+6QJFrMnTRl53pEGsaysAX27eE5S/h3ZO58FK9qAlnzuiGoVNi4oPebCPXzM7jHlfTd+4g5INz/muPoB78ZwkYn7g1yZiBnTgz87uQIv1NCtIgdOI4zF4DcO2NxB9TMgjP2bkXI7y+xqCVoDhdtgZmz1D2caQeWPIdO8JmZUvfAFMHqBHLT/oLv90+wvLeNDnCMK7H6VTv6teOhPrGO6aDPhlZfCrJKmPXPdjTdPQFu5aeQ0uIxRIzaYJEDTLIyTWKIgIIISF1/pAK6ghaTFFakXsBSeKacRKCuBExPGOXbe8BrVmZdw1Y5vnJxjO5+sghoKwY1bcUnt/tf89L/gc/WPoxIqdEBTvHnrUiIUtWEwIH5jyD0ptAimNeTwvoNM6E+upxZT40UJAsAACAASURBVHeOQdiU3TVBQc+akUDe7Ej4lB1hEZPC5yHmqVFmzGD9ULqPR0NzagNLnNy0J6LHb7G+EBvPmPT9CsSkTWMUlPSSPe3XLxH+zxvM20m7tnCPEwpsNj71VrNfubAZj9iBwsYGqwkxc6LkbSsRnSJ0oTri0BGdZqaaOQuFqy6BgoQgeJafYI/vj1mCqL6vVHe4bJ67e6LPfrb4vvP8wb/BK0B8L7psBNuYkNRdGxGxT/j7S66/V/bvWIeoxPFsdgrsPeBpofcjNrYErG7XdNPGOTRDK+1xq+vQb4yDOm8Zy5tRPxIhU/+wug5KKD2BxC3vIeLAbNSzK2Ni9D7joB6qlV4cKSACRKBaBKSuP1IBvVrTRA/di4DUC5hmhgjwSED/5RyocxYx6VlOIQia9rdFrCS9Nwgxl34R/lB0fQHqkR9ZJBcFtQ6BbMMu+O98liWT2/2vBdkp8Pz6YRGMshnn4ODoaB1AlKVGBLLnauB/+yAbYwicAdUgoYVwjYJJ+HDlu11DETTtLwkV2XbqwvgAeBiLGIRUzXJE9B7GNRTdunegKVzLPKQ07obICdTlwNqTati0AKpDQjvtg04hCLTQ31DW9nbgj28RumcES3sardBWe9TaMmw+X35CMLzKhatnkmMWI7rvq9xzMS1QWXIDL/ewrGDgjNYbbSBsME3vtgZhPQZZIbP5U5TGtYRThcJE3tPb4RPW1fyJKGKNCSRvW4XolMls3DF7L3jL8GoQ0w1kRXZt4BaXW2O/NEB6Avu3r0VU0jtMiFTddBK/XYrYzHimg7quSL82rK2g7M4dJK15C+rTlVv3373O4tprerRx97a2LMpHBIhALQhIXX+kAnotJo2GCASkXsA0F0SARwK6NWOhObmeSU9p3B2RE7ZZxIrhg2FQnfuexTa4DIDqLSG3RZJSUIsSMH3BLrf7X4vyD8Pt01gRg+sTjqNh42YW5ULBa0fgaEIYOpbns8HJkQsQ3X9k7YJJOCpxyzLEZsTRSxIJ56Bi6rNaL7TGBfaljIfXI6T7AJmoq50M/afToM5fwQanNdQgfNLPtQtGo2pNQMndJjL/3obg3f9hbKQ6tVXryVHIwFNaH7TDWeHfetdVCO85hHt3pidRlXT9AY+Tc1nbDk1xnUk/+NgmBKof49EKrsW1RSO7m0x7dt8t8I/pyaUXpYk2bF4CVVYCs3XY0R+dZxhkZ5OXVvOyAydDQYZvFkF1cI7w86BeIPyn66yutHJXA7oWx+qTIGHCq5cvIG/lcwi/ob+niv2NH0LUhB8kVEmpiQARqC4BqeuPVECv7kzRc1USkHoB07QQAR4JJC4fitjzwqk1Sxa19StHinZcJjV/HDFjv+YRG2n+HwHTO1KP27ujwyzhBLHUoEqKj8NlVYhIxoVR2WjRup3U0ih/FQSK4v3gZjzNvpPaZQUieg3ljpXp1RjH7D3hPesAdz6UIvhqnCsa290QXp71+Rb+sY9ybU+/UQt13nvMwwHnaIRO+Y1rTzyKr3SnpQU3IVqbzyHDLwjYKZxAvYxGaKoVOjlYW4+t5rug9UALXGb2Mx/diOAH+nGPI/33rxG293Xm4xRao502j3tfPBowlpejPL4lHOyMTP6RATvRKbQLj3ZwQdseLXCFac969EsEPdCXSy9KE63/IgHq3CXCz7P64Qieukd2Ng/qf0bgz4OZrstoiKbaU7LTSYLuT8B0w2l6AxXCJu+6/0AzP2F66OAsWqC1Vtg0buZ0FE5GBE4VHMbNzwbBu8IhgXvJy+ixASHdnpSRepJCBIhAVQSkrj9SAZ3WZZ0ISL2A6ySeBhMBiQikLnwcEdf3sey6Dq9D8/JCi6hR8otmiwDjIGji1uWITZ/JlOY6+sJ3hnCHtdQWLl88h6bLOopknH4lBW3bd5JaGuWvgkClQkHPzxHctT93rExP1p2wc0X7uMPc+VCC4LuFAWN8S9hXKAwcfWYXOgaruLZH1wTIY/pMNwYmNu+D2LGVWzPKQ23NVOSk/Am/bcJLvOvG+mgYf6ZmQejpOhO4EdcaDexKWZyc/j/AL/KhOseVOoDpCU8qJkg3IzeuXUGDRe1FAk6+uA/uHYOkE1WHzKbt6A889AlCHxpYh4g01FwEdOsnQ1OwioVLbdgFEZN2miu82eLkpu6F7w/CRqVbxnqoH19itvgUyHoEKh3gaNYLMeM2W0/A/zJlJ+2G/3bh5xD9TWX1KZAkYU7KHrTa9h+0wiVR/lKjA1I6j0NAzko0wzX2vbuHUdpOSkZ954aS6KWkRIAIVI+A1PVHKqBXb57oqXsQkHoB08QQAR4JZM9Rw//OISbdEDgdqkGTLGJFt2EmNEeXs9jpDWIRNvlXi+SioNYhoP9qLtSHhQ0XWU5hCJq21zrJq5Hl1s3rqD9ffNq8cOjf8PARn0qvRih6xAoEbsa5wNnuNsuU038b/CK7WyGzeVNk7PkOIX8MZ0GpMGBevjWJVnVhQA/3jgE1CSO7Z03boGY7BsB/xr3bAsrOgEIEGZb/B6rzwrU3htbPQDVqnSLcHcnQo9OW3sxLmdEOdrPOwd7BQRH+eDBx975MhzmtRFLzB/8Gr4BoHuT/q8asfTsQtEtoRX8BTdBCe4J7XzwaKCkuhMuqYJH0c29koVVbcVGdF28n4/3groBuRrzwrolO3cejoTm1gQ1JbvIIot/5riYhrPLssYNJ8P5G3Pa/fOZ5+v1nFfrmTZK4bAhiL+5gQfVtBkH95hrzJqlGtPxDyfDa9IjoyTvTz8KxnlM1RtMjPBK4+zfcuTm+aIPzIvl3/9459dja/16TYti8GKqs2aLv67zfgmbYXB4tk2YiYDMEpK4/UgHdZpaaZYxKvYAt44qiEgHLEjgR74/2RqElWYr6fUQ+9pJFkhq+fheq7PksdpZTKIKm/WWRXBTUOgTkfg9vVadPjz27C95BfJ8+tc7sWjfLndulcJzbWpS04Lk/4OkfaV0hZshWufUxtX40A9ZahTh3+gRarRSfoisZmQkXV49axZPLoKTvP0RM2nQmJ8+hE3xmpshFns3oSF46ENGXdzO/Ordh0LwmbBTkGcTZony0Xh0msnD+zYNo2cadZ1tcab97Z2bjpV4izaeGJ6KdZ2eufFQl1vQ03hVjAzSJL+beF48GTuRlov3GB0TSb046CeeGjXm0g4KEYHiWFzLt+2OXIqrPCC69KE204cOXoSrZwmwltngCsW9/ITubJ49mwX2D+AoDnv9NyA6wFQVZs9viv9k6feII2q4Vf6a9NDoHzVq1tSINSmVNAoW56fD4opsoZYG9BxyHbmYbue8W2Y/M18DvTg577m53gssj/oFrB19ryqVcRIAI1ICA1PVHKqDXYLLo0coEpF7ANCdEgEcCV+Jc0aTC3bAHH9v0392Qlvgv6bv3EXNgFgud4+gHvxlJlkhFMa1EQLd6NDRFFU4SNO2J6PHCixEryfjXNJXbn/J5qlkOLC2p4dL5s2i23EeUgtd2+7lpf8H3+yeYl1KjI5ziz1kSH8W+B4GiY9lw+0y8Yeb6hONo2LgZ18ySt69BdNIE5iHfvgO8ZmVw7YlH8aYvZvVeo6B+aR6PVippvl16C/XmtRF9/dig3fAOjFGEPx5MlBQfh8sqccecC6Oy0aK1uLMOD15MNZq2SL5prAdnapEsyVTmpf8Dn619WO47Rns4xJ2Dnb29JHrqmvTI7Ah0KjvKwiRFvIuYJ9+sa1gabwYClU8DD4b6zdVmiGzeEGdOHkObNeGioFTsNC9ja0U7OPcBBN7OZOkM/lOgem6qtdKzPFVtiCt6KRFuXvxviLM6TE4SZuz9ASG/v8jU3t0oaByXhabNxZ2F7v491On7/qLrxlIbdUXExO2cOCWZRMD2CEhdf6QCuu2tObM6lnoBm9UMBSMCViBw88Y1OC9wE2U6/vwedPATf2A0l5T929ciKukdFo5e+JuLrHRxTE8SGFr2h2rM59IJqiLzJa2b6G6pg72/RqDmcVlpJDFAcWEeXNdFiVBcHnu00odMHlgVZKfA8+uHRVKpTZ80M3csywDvzb1Y8nKjHaCANtQpv3yOSN1bzFehnRs84oTrWKShbXtZM9/tjuBbacy4vvMkqIcInQF4J3JB2x4tcIXZyHxkA4IfFO5F592f3PUr7WRwRd5HMw3o+K34Z7Nd3Hlui7ZyX0v/pu+gbicCf3mOPXIZfHfNOTwnFp3vHGZ+EkO0iB04jucpUoz2/YufRNTVP5kfnftwaF5dJjt/l86dRrMP/ES6zr6WjtZu4o4gshNOgioRyE8IgVf5cfb15KiFiO73utVJlZeVAQmtREXSIwN/QacQtdW1UELrEDA9PHTEoSM6zUytMrnhg2FQnfte9L307msR9vCz1hFLWYgAEagRAanrj1RAr9F00cOmBKRewDQjRIA3AlUVrCy5uzpt91cI/3skw1Rk1wZucbm8YSO9FQgkvTcYMZd+Zl/Rtx0C9RurZMXojNZbdPdUxsPrEdJ9gKw0khig4NB+eG7qIULBa9H5VMFhtFsfK/JydXw+GjdtQVNtZQKmbYKvGZ3RKP60lVWYP136718jbK/wArAYreGqzTN/Ior4rwRy5sSI2i4mhSYgZsDbiqGWnxAMrwqtkKV68awYoDU0UtU99PYKKTIXH8+F6yfiu9wt+Rmkhuht6nHT3yen0QpttcIJbt5gZM3riqBSoSOLIWAqVIOn8GZDkXrTF/RC2A0D86bzHgXNMPl1bbl5/SqcF4qvKzn54j64dxRfCaTISVKYqbNaL7TGBebqQPd1CH34GUlcXta2Q1NcZ7kt2flREoOUVERAt24CNIVr2NdSG3ZBxKSdVVK6u2mn/INotMBl9v0Tdq5wmZQC5waNiCwRIAIyIyB1/ZEK6DJbELzJkXoB88aL9BKBvPS/4bO1LwNx2+gAh1lnYe/gYBE4mX9vQ/Du/7DY59AMrbTCjmCLJKWgFiWQsugJRF4T7rHXdXgNmpcXWTRnTYOfjPeDu1EomKV2WYGIXkNrGoaetzCBw8m/o/NPT7MsN4xOaBB/1sJZLRO+qnu3z72RhVZt21smIUW9J4GMvVsR8vtL7PslaA4XbQH3xEzbAirFF28TY1pgVtpdu1nzuiGoNJ1Ni953PNQvxPE2TdzqzU78Ff47hBf9V40N0Fgh94Tfunkd9eeLW9EXPPcHPP3Fd8RyO3kcCTe9EuTuHa2es4SWxxxZ+a/UA/N7IPTmfuHnls84qIdqebOhSL1Z8x5EUOmB/8felcdFVX3xL4srKi6ICCKioKyyMzOZWqa5lpapZf40K5fSzH1XBty3tNJMcykry8zKUkstTTNn2EEWkUVEEZVFxQ1FYH6fwbyPNww6w8yb995w5/PhD2buPed7vufOm/fuOfccxjcCrdqiPi1suaQlywcXRvyFDp7spB+zdJIZGaWqqEBpuD0aWDwkVqW/vB+dA5/jxcqr8k5wQCHRndB9C/xfYKp/8AKKKuWMAc2WFZF2QyGZvKNGfVE/f4LQxEWsz5X094sz/1DBlAFDGOA7/kgD6IZ4j84F3wuYuoAyIDYGzhz/EV1PvENgF6AFWssvcGZGWsxf8DjAnPy9p2qAxuH5nOmjgrlnQAybVJql22JD1iFo4Lvck0M16MVA8j/74fMX0ydMzAk2d2/fhM06F5b9tM+dXsvBaIM1S53nWrRFu7A0o8nnS1Cq8g94/TGCqL8FGzST5/EFp87qvSp3gwOYRJ/EHl/Ar9dws+EjZt2rCL79F7FH0XYUZBM2mY19Qjck6cRP8D0+lsA0t0SZW3JHNMNdYl9Kn93w7sYk9grdP+aCL2rfeoQmMQHmdOvO6LwwWrTmJazuB/97CoJf2WESpG8J75SzaAk2ALhm1ZYo33CEDp1qgETupj4Is2MFXjMG/wb3gB7cKaSSjc5Ayd3baLSGnbycO+pftHPzMbouXQRmR3SFawWTxBsTuArBLzPVGXWRQceIh4FqbZ46fQjp/yJqNECduJO+ohs8ypiWXKn1fOG14JR4jKZIKQN1hAG+4480gF5HFhpXZvK9gLmyi8qlDHDFQPQvmxCSMJ+IP2/ZAR0XMyeNjK1XWy9a2u/Q2CybVl7aUinrJj/SezEkw5g+96ZFo11bxpIguJczpY2j/ZchZAjTO1gIGCkGIP7INwg4PYlQcdmiDZzC0kVJTXlZGayWtmJhzxlxDC6e7B7vojROZKCj93+GkPh5BPWT+s+JybT0uL/R+VemF7WYKzaIiXdNrDflTmiOO+Tt1L7fw0vWX8wmsbArPxsPaf4e8l60bT+ETGP+NxtDBWqIuSYAPab7YoQX2ldcJuzTBEd+FqLy2whIM9YR5ckN/OEz7wQ/YIygNW7tSwi8c5JIUji/C9k7jH1GUEFF1JKBnAhvuFTkiuI7r1lu+2z/H+Ap6VtLy+k0PhjIv5wN+y/8War5bBWStkwGj4epBE+k1wJIhs/mgxqq0wQMXAr3hLOKSW7W5R5Hcz/kBpqi+eKLsLC0NAFiqoIyQBnQlQG+4480gK6rp+g4rQzwvYCpWygDYmNA+U0YpJkbCOykBgHwnfc3Z2ZcPn8WTrukLPn3Z19Gw8ZNONNJBXPLQHaEH1wrmKoFQuyPenbZM/B8mFLlYXUhJMNncUsMla43A9UDna7otChBbzlCmVAa1gr1LcoInIwhB+Du310o8OoMjsgf1kCSupTYe7aeFzwXMCfTxEqEZm/kMpUlrMOZHo9itUtsuDW/55mvHISb37NiM6NGvIqvFkCWvZF8fqZhCLrO/dNs7BO6ITG/bkZwHNO7OctK3L+Lmnxr9qpWdp4F6ciFQneL2eFT7JgN2cUtxK74xt0QMPuQaO2M+Wgogm8x1ylF29GQTfhUtPaYE3Ah9aN+Gq+FchfY4SazT9LrS/j2YFpNPW0+/Zx/BrQd3lAtKoSVtTUv4BJX9obffaa6h8J1MmRjlvGChSrllgFt7QPSBu6DR0jvJyq+fD4FTrueYY2hbeC49RWVThmoDQN8xx9pAL02XqNzCAN8L2DqCsqA2BhQbJkE2ZVvCOyYZr0RPH0fZ2YUXr0Iu899WfJvTEpDi9bsHoicAaCCjc5AXrg7HFVMGf6EZz+Hf+83jK7HEIFJK56D74N4IkLZeSakI9n9pQyRT+cah4HIH1ZDkspsIpyt5w3PBaeNI5wHKZqlaVP77YGXtB8PSOq2Ss1EsTMNg9F1LlOSWqzs5KTFweX751nwyxcW8bYpKFYeDcFd+uA+6q9owxJx6c2TcHb3M0SsoOZq9mPMtOoEt0VxgsJozmA0E4DS6nnBwwwSgB77LHbtYATdYRJ3FY5jIBv/iTm7VJC2KT9/H9Kr3xJs0bYvImTaXkFi1QVU1McjEXrjIHPfbz8c0ve/0GUqHcMxA/fC7NHY4gHRoktAiWNINYoXwzMuX9yIRW/K6UPwPsLsS/Dd7ih23SsIun2M0Ed/88SykvTHWXQtF602e7Mm5o9LgL2T6xOFqavYlS5pi0YWpWRccp9v4dNtkP4g6AzKAGWAMwb4jj/SADpnrq0bgvlewHWDZWqlOTEQveF1hNz8vcoGwwhI39/KmYl3bt1Ak486sORffTsGDu3dOdNJBXPLwA15O7TAbaJEiP0rE1b1hX+JknlYdZ0E2RjaC5HblaG/dOWuRZCeZzbOxX7SMV/uCntcJ0SceW4Huj43VH9i6AyDGFBsnwnZJWbjPM6mBwJn/WaQTCFM1lbRpWRWLhrZNBUCvDqBofh6AWw/cWPZWjA+Ea0d2fc5YiYj8dgP8Ds5jphQgBZoLWeqzojZNjFgV34jhzRzPfM70jAIXecym+9isOFJGCM3vQNJwY9kSFTzAQid+p3YzRId/shPR0NStJ/gjrR7FZLJO0Vnx2PAkRvHQlL4E2NPqyGQfPCVaO0xF+BlD0thvaw1y5wLI/5CB89gQZqYE+EDl4pLBFts6EcIGvCOILFSUNoZ0GyDwnd7sMhP/gfJ9V/N5lpL113NDGTEn4T7/pfIgIcqK1guytcp0TlzSSDcyrOYdeI5D5IRTDUiyjtlgDLAPwN8xx9pAJ3/NSBqBHwvYFGTR8HXSQYSV/WBX0kUsV3ZYRKkb3EXWNTaF/j143DxCKyT/JuD0Q/C7NDA4iExJWPwb3AP6CEo0+LWvozAO0wvR9oLUVDuIWAU26ZBlruD/B/XpCcCZzKbDMJEXTOq3PAuaKe6SgbEP7MJAS+OEpsZoser3DwR0mtMQMZcejhr7es4JRO2Ldmb06J3oIANuHopEw7bg1gIb009j2bNWwkYtX7QMhNPwe3ngWSSulWA5eJCWFpZ6SeIjq4VA9VKa9s8i4BZzMnaWgkV0CTFl3Mhu7CZIEpsFAq/OUcFhLBuQKle8nwUZBM2idZ45eYJkF77nuCniRnCcGVx0TXYftqZBebau3Fo066TMABqoNAMYkX7L0fIkEmCxEpBaWcgat8GhCaFkQ8zrN3hvjCGN7o0q33ENOuD4OlMEhlvwKhiozMQf/grBCimELl5FvZwDMvQSY/mb7LYk9p0MpoOogyIjAG+4480gC6yBSM0uHwvYKHxQfFQBp7GQPrSEHQuS2c2GHzlCB067WnTDPq8WsCV9gU2iE8+Jz8sfYB6y+1ZEC6OPIH2nf35hFVNd/T6YQgpPkLeVzq8CenEzwSFkYIBlJ+NhzR/D3M9EvlJtOwIP7hWMCc1Y4JWI/ilCdTVJmbA3E7WPabvRsEVtNjkwWKzcGIS7Bzam5jhuqtOWxn9sgUFsK5X32xI0ZaoQVvvmM695r7ZXi24YeUG90WxpiOYaqpkIGF1P/jfUxA2FC4TIRu7SrTsKLZ+AFneLoKf6xZloiXKxMDzLpyD45ehLK13pl9Ak2YtTIxEN3Vpy2TweJhKBkd6L4Jk2EzdJtNRgmBA+fViSLM+JljO8FzFRbFzDmQ5nxM8CY1l8J/9hyC4oiCMy4By9xJI09cSoan1feE1/5ROSpRfzof0ApPEllK/K7zn/6PTXDqIMkAZMA0DfMcfaQDdNH42Wy18L2CzJZYaZrYMXJG7oS0KmJv4bpvh32ckp/belDuhOe4QHUIs+c0pAWYkXCzla6uVS2v9GiSTtpuRJ8zDlGo9K1sPg3TSNtEad25pKLqUnSP4o0yQoCRasjgEXv1k3WjIJnzKoUbTiKYtUUzD85O0aJZnvK+qh4bhhfwDMyICbYlyQi65a0TTBSGqeinqwZB8wAQGBQHSABAJf30P/3+YxLJraIU28vMGSKRTa8NAyvLu8C49Q6YqO8+CdOTC2ogSxBxzbd0iCHINAJGVpESnfX2JhAqVBbC4SLAVTZJX9ITPgwSz+V4Y4DrRTtVMpolt2gtBM37mzR7ld8shPcckJ+kTVOUNNFVcKwY0K6HoU20g/sg3CDjNVLu4jmZoKWfaSdQKEJ1EGaAMGJUBvuOPNIBuVHfWPWF8L+C6xzi1WMwMqCoqcD+8DRpZlBIz0gb9BI/gFzg161K4J5xVeURHbMg6BA18l1OdVDg3DFy9mAGHHey+dbenZaOpbUtuFNZSqnLTu5AW7CWzo1q+hNAp39RSGp3GFQOxawcj6M7fRLzCaSxk4zZwpY5zudU2pLvMgfSN+ZzrpQrYDMSv7o+Ae6eZdSXyk3WPDXlw/x4arGzLMvbSqFNwdvOlS8BEDKT8exDeR5mkwxtohhZmuMGlmfiY3Ptr+Dz7solYrttqotePQEgxczpN2eYNSN9jTq+JnZ30uBPo/CuzlkpVVqgXVggLS0uxmyYq/BlLg+FexpSWje4agZBXPxSVDVXBKr5aAFn2RvJWYiMJ/OYwlahEa5jIgacqfofX4deJFbfQGM3kVwRrVeKqF+FXEsncP7pOhmzMMsHipcCqMyC0nuPRv2xESMICAjTLqiM6LYqnrjNDBuLWvITAuyer7Gu8Bdk4phrCk0y+lJkE52+eZQ25/n4qWto7mSFT1CTKgDgZ4Dv+SAPo4lw3gkHN9wIWDBEUCGVABwbu3r4Jm3UurJGXR5+GU0dvHWbXfkjK8mfhXZpEBIj9lEPtmRD/zAtnY9BhDzvhonxhEaysrQVlnGLLB5BdqVrKkfYbE5SD/gOTuKoP/EqimAfNjlMgG71EiFB1wmRu9uhktAAHJa14Dr4PmM0ppfsMSN9cLECk+kFSJ8FZRLDLnmYP/xOuXiH6CaKja82A5ulZffob1lopDxNzInzgUsGcfKHtKEznhGobsM7vQvbOOtMB4FiTtkTM4g/SYduqDceaqfiqDFyM8EL7isvkrdjQDQgaMFa0JCm/jYA0g/meJDUIgO88JkFTtIaJHLjmb+ZVtIaDPFOwVpn79VewxBsRWNzalxB4p0oQs93bkL273oga9BOlebI4z6INHMOYdor6SaOjhcyAZqtMfVpAlJeVoWyJAxpYPCQmpvb9Hl6y/kI2mWKjDNQpBviOP9IAep1absY3lu8FbHyLqETKAHcM5GWnwfErCUuBKfqQxa4bgqDbx4leheNoyMaLv5wud54SruRzMcfQ5cArBOA9VQM0Ds8XHOBqpRyb9EDgzN8Eh7OuA0pd1g1eD5MJDZGe8yAZMVe0tFTbtDGzwIdYHHNuqQRdytII3CifMIS+Nl0s8J+IszSsFepblJExGUMOwN2/u1nYJgYjYg5+geBoph9qtqULXBczZZDFYIMuGFOW94B3aSIZai5JKLrYzveYMyt7o+v9aIb7jlMgFXFimSaf2ipp5Lx+HC4egXxTX6f058tdYY/rxOYzPbej6/OviZaDyD2rIDm7nOBPrecDrwX/itYecwEe8+vnCI6bQ8wR+m9mzEevIfjWUWbPou0oyCYwfYnNxS/mbEe1Mvw8J9Em//sbfI6OIpTfQFO0kOeaswvqrG2FchfY4SaxP7HnNvg9P0xnPrKW+KNTeTazL+K1AJLhs3WeTwdSBigD3DLAd/yRBtC5dbSmhwAAIABJREFU9a/ZS+d7AZs9wdRAs2JAM/ip7t3ZICyf87KJys/GQZr/A+Ey2rYfQqbtMStu64oxSSf3w/fYaGJuIZrDTp4jOPNpKUfBuUQroKwlAehUzvQ+jfZfjpAhTP8vcVjBoIxePwwhxUzJUKXDm5BO/ExsZogeb3ZEV7hWMNelmOA1CB40XvR2qQ24E+aAJhYlxJa0AT/CI7SPWdgmBiOi9q1HaJKcQD1n7YEuC5lyr2KwQReMseteQdDtY2Soou1oyCbQxEdduDN0TPXEsvmQjGACUIbKF8L8W3JHNMNdAiWlz254dxsoBGh1BkO135L+e+EheVG09kft24DQpDCCP926MzovZBJRRGuYyIFrJjacrecFzwUKwVoV9fGbCL1xgOCLbP0aJJO2CxYvBVadgcwlgXArzyIfRPsvQ8iQybxRlZHwD9x/GUT0P1RZwZq2LeHNH1wpvl9yFw1XObLEXxjxFzp4slsfPkl/zLpXEXz7L+b6YzcUksk7uIJM5VIGKAN6MsB3/JEG0PV0GB3OZoDvBUz9QRkQEwMJf34H/1MTCWRTlVFT7FoE2flPiN4zDYPRdS5zcygmDus6Vs0yZLkWbdEujDnpKRR+lLuXQpq+hsBJbuAPn3knhAKP4viPgdxwD7RTMb0Q42QbEdj3f6LlJ/LT0ZAU7a/y4PsqJJN3itYesQLPC3eHo4qpjJHw7Ofw7/2GWM1h4b4hd0YL3CLv0cCTad2q3L0E0vS1RKm5lgmulvjYvD9Cpn5vWrLrqDahbf5z4YZq5cND1iFo4LtcqKIytTCgbgeiCm8JSwsV+fT8a0fQ0YddpUxM5GmedD5v2QEdFzNVNMRkizlhrZ7QHAq/OcwJb6HZGrnpHUgKfiSwolq+hNAp3wgNJsXzBAauyN3QFgVkBN/PALmZyWj3TTcW4pJZuWhk05T60YwY0Obn29Oy0dS2pc5WKnbOgSznczKe7l/pTB0dSBkwCQN8xx9pAN0kbjZfJXwvYPNlllpmjgxoZudnWLnBfVEs56ZG/7IRIQkLmE0auqnBOedcKYje/xlC4ucR8VlWHdFpEdNrmCu9+sqN3LsWkhSml3ZaPS94CPjEg772mct4zVJnSb2+hG8PpkWA2OxUbp4A6TUmyBTVfABCp34nNjNEj1czyJzc5xv4dHtJ9HapDahWdve5Hej63FCzsE0MRmhubsU37oaA2YfEAF0vjIqv5kOWzZStTWwYAr+5f+olgw6uHQOXwj3hrMojk+MkGxDYX7y9qbWxkLr8WXiVJpGPlJ1nQTpyYe0Io7P0ZuDu7ZuwWefCmpc3JhKOrh56yxLKhLjfdyIwciqBc9HSCe0XpwoFXp3Fodj6AWR5u4j9sU17IWjGz4LlQ/n5+5Be/Zbgi2nWB8HTmYC6YIFTYIQBoVXXKLqWi1abvVkeKpyYBDuH9tRrZsRA8qlf4fMncwjgFmzQTM7cy+liatzhrxGoYKolCLXSoy620DGUAXNkgO/4Iw2gm+OqMqFNfC9gE5pKVVEGDGagWha4iTZEk078BN/jzOZfEWzRSn7RYHuoANMzIJYeg9G/bEJIwnxCUKZVJ7gtijM9YVTjExm4F2aPxhYPyJi0QT/BI/gF0bKm+OJDyC5/KZqNQtES/RTg98Ps0NDiIRmV/vJ+dA58zizMzQvvDEfVNWJLQrfN8O8z0ixsE4MRii0fQHaFCQaY6+Z69E8fI+TMYvobysOiNLfe1NoojF07GEF3/iYfKRzHQDaeqVTFA+11SmVhXg7stnZl2Xz9/VS0tHcSLQ+aVdbyLOzhGJYhWnvMBXjkp2MgKfqFmBPZajAkHzC/oUKzU7F9BmSXthFYcU16IHDmb0KDSfHUwMDD0geot9ye9WnOiGNw8QzijbMH9++hwcq2LP0XR55A+87+vGGiio3PQNTPnyI0kUkErE0VlIvpCWi/uycL3M3J59DczsH4gKlEygBlQG8G+I4/0gC6ni7Lz89HVFRU5V90dHTlX1FRUaWUMWPG4MsvmY1bXUT/8ccf2Lp1a6W8goICtG7dGqGhoRg/fjz69euniwjcu3cPmzZtwt69e5GZmYnS0lI4Oztj4MCBmDJlCtq35y67ju8FrBNBdBBlQCAMaJ6ONFUv8vPJkej4I9NXr0JlgYqF+bCuV18gzFAYujKg3LUI0irl+IV6Ki320HYERU0nZl2wdEaHxcm6mknHmYCB8rIyWC1txdKkb68wE8DUS4Xiy7mQXdhM5sQ3fgYBs3/XSwYdbBgD2tYV35tnhlnEnp0T4Q2XilzyZmzoBgQNMK/Tqcbky9iyIjeOhaTwJyI2stUQSD74ythqeJeXeOwH+J0cR3DkoyXs5dm846oLAG7J26IZ7hFTU/vtgZdUt2dysfBTrUwyrdZiUtddykiE87c9WDrvz8lDw0Y2JsVhTGWaydoFaIHW8gvGVEFl1YKBmI+GIvgWU71E0XYUZBOY6ia1EMnplGrVVxpJ4DfnCKc6qXDjMSDU094PwuzQgJXY+ys6B7IDpcZjgUrigwHFjtmQXdxCVCc0ksJ/zmG9oJQ9LEXFUgfUtygn8872/wGekr56yaGDKQOUAW4Y4Dv+SAPoevrVwsKixhn6BNBVKhUmTpxYGTyv6aUOon/++ed4ks6srKzKQPm5c+e0irG1tcXu3bsxYMAAPS3VbTjfC1g3lHQUZUAYDGg+xCod3oR04mecg7uefxktP/Ni6SkYn4jWjh04100VGJcBxbZpkOXuIEJjmzyHoJlMz2fjaqu9tOonUdrAMSy99gLpTKMzcLv4Opqud2XJvTI2Cm1duhhdl6kEKr+NgDRjHVFnrv2RTcVnbfRoW1dX346BQ3v32ogT3JysJf7oVM4EMmMCVyL45fcEh9NcAUWvH4GQ4j+Ieaa6jzI1nxkJ/8D9l0FE7UOVFawWF8DSysrUUOqcvodhLVGvyuZp5isH4eb3rFnxoJlslkiDVCb1b2biKbj9PJD1/bYOK4SFpaVJcRhTWcrpQ/A+8gYReRNN0Fx+2ZgqqKxaMJCwqi/8S5RkpqLDe5C9tbIWkkwzRbl7CaTpa4ky2oPYNLwbS0vOuQS4fMcOTD+YewUNGjY2lopaybkud0ZL3GKeD3vtgm+PwbWSRScJk4Goj0ci9MZBAi7S7lVIJu/UG2x2RFe4VuQwcrwXQTJspt5y6ATKAGXA+AzwHX+kAXQ9fVo1mK0+5e3p6YkjRx5lReoTQF+wYAGWL19eOS8gIACzZ89Gp06doA6Ir169GvHxj3raqsctXbpUK8o7d+4gJCQEaWlplZ+PGzcOr7/+Oho1aoTjx49jxYoVUI9p3LgxFAoFunZllwrT03Stw/lewMawgcqgDJiKgaQVz8P3AVPGWtnpQ0j/F8G5+oryclRE2MHaooLoMscNQc6JFIAC5WfjIc3fQ5BEtRiI0A93CwAZG0LSyZ/he+wt8iY9iSI4F6Eg7wJab/VjASv+IB22rdoID6yOiCJ/WANJKnPPdLaeFzwXKHScTYcZgwFzXFdVeUlfGoLOZUwyUHTXCIS8+qExqKMydGAgbs1LCLx7koxUtB8P2dtrdJgpriHXcrPQZlsgCzQtI8m9D0sf3Ef9FezfwEtvnoSzO/u3knsk3GqI2rceoUlyoiTDyg3ui2K5VUqlEwY0g83FsIGtnr1ahUbnuZhj6HLgFQLrnqoBGofnCw1mncOTuqwbvB4yFcAiPeZC8vo8wfKgeR+fVs8LHvQ+XrD+0gSWFnUUHodeE9x1IDfcA+1UVwiueNknCOg7RjS8UqBPZ0Bzn1XRcQpko5c8faLGiNh1QxB0+zh5V9l6GKSTmLYSegukEygDlAGjMcB3/JEG0PV0ZVhYWGXQWv3Xpk0bXLhwAa6uj05w6RpAV5dZVwfey8rKEBwcjJMnT1YGvR+/1CXZe/bsiZiYGFhbW1cGyNXBdc2XXC5HeHh45dvqoPusWbNYQ9RB8x49elTqef7553Hs2DE9rX36cL4X8NMR0hGUAeEwkLUkAJ3KzxNA0f7LEDJkskkAavZ0TOyxBX69XjeJbqrEeAxoZtcq7YdD+v4XxlNgJEmpyj/g9ccIIu0WbNBM5JuDRqJGMGK09fkqnXcN9Rs0FAxGfYFE/7IJIQnzybRMq05wW8QkLekrj47XnwFtpWnFvq6qsnB22TPwfJhC3or0WgDJ8Nn6E0Vn1IqBMytfQNf7MWSu0m0apKOYQGCthApwkrZArjm1QhAg5ZWQiouuwfbTzix4+eMSYO/ErtYiVPy64kr463v4/zOBDL+GVmgjZ55PdJVDx9WOAU3+r6I1HOSZtRMmkFlZZ06j00/9CZoylSWsw28IBF3dhaFZNSc6YAVCBr8vWEKif9mIkIQF9D5esB56MrDq1zY7OMizeLcmc0kg3MoZHFF+SxD6yhTecVEAxmPgYoQX2lcwVU9igtcgeNB4vRVoloKn1ez0ppBOoAxwxgDf8UcaQDfQtbUJoE+aNAmfffaobLM6yC2VSquhUCqVkMlkle9PnjwZn376KWvMw4cPYW9vj5s3b1YG45OTk2GppeyXukz8li2PeoGoA/JBQUEGWsyezvcCNqoxVBhlgGMGqgWxe26D3/PDONb6SHzGkiC4lzObM1G+4QgdOtUkuqkS4zEQu3Ywgu78TQQq2r0N2bvrjafASJIy4k/Cff9LRNp9VT00DC80knQqxhgMaPqoVGWN+uFFxhDNm4y433ciMJK5rl20dEL7xam84amLijVL05aqrFA//LrZUJG8oid8HiQQe5SdZ0I6cpHZ2Cd0Q84uk8HzIfOdjvRaCMlwdgKx0G3QFV+x3BG2uEuGJ/f+Gj7PvqzrdDquFgxcvZQJh+3sZ+XiD7Ng28KuFtKEOyU97gQ6/8qsJfV1up7IS4gLl+3qyGIObEVwDHPdumDZHh0WJ4nJhGpYc9Li4PL986z3yxcWwcraWtR2iR18Xrg7HFVMJYD4ZzYh4MVRgjUr9uA2BEXPIPhyLJ3hspg5QS9Y4BRYJQOaicxZVq7otIi5Z+aLppTlPeBdmkjv3flyAMd6VRUVuB/eBo0sSommtP574SF5UW/NmnsJtIqi3hTSCZQBzhjgO/5IA+gGulbfALq697m69Pvly5fh4eGBs2fP1ohA/bm6t3m7du1w8eJFVi/0o0eP4sUXH/0grFy5EnPmzNEqp2ogfv78+Vi2bJmBFrOn872AjWoMFUYZ4JAB9Y1dWbgdq69ixpADcPfvzqFWRnTiqhfhVxJJ3lC4TIRs7CqT6KZKjMdA4qo+8CuJYvxYy/JUxkOkXVJ2ajRcf+jN+lC1+Iao+ztyzZmp5af8exDeR0cStTfQFC3kuaaGYVR9ice+h99J5lSdOZzqMipBJhCWqvgdXoeZ6ibmUJq2Km1iuQabwNW8qNCs5GPOPehzIrzhUsFck2t7moYXR4lUqbb+rQ/n56Ne/QYitUg77KsXM+CwI5j1odhbuIjJQZF710GSwrTwOmftgS4LmWc0MdnyGOvl82fhtIt9KKRkVi4a2TQVozlmg1kzESulz254dxsoWPsSju6G/7/vEXx5Fm3gGMa0zREscAqskgHNHvYp9f3gPZ9pu8MXTfGr+yPg3mlm/6T9BMjeXs0XHKrXyAzcKLiCFps8WFKvvhMLB2c3vTVpSwYrnpIJ25at9ZZFJ1AGKAPGZYDv+CMNoBvoT30D6OfPnyfl2CdMmIDPP/+8RgTqz7du3Vr5uXre41Lx6v8XL16MJUse9fSo6RS7+jN1+fbmzZvj7t27leXcT5w4YaDF7Ol8L2CjGkOFUQY4ZKD4egFsP2HfxF19OwYO7d051MqIjvr4TYTeOEDeiLR7FZLJO02imyoxHgPVetl5zodkhPYEKuNp1V/S5fMpcNr1DGvi/Tl5aNjIRn9hdAYnDCT8+R38T00ksvMs7OEYlsGJLlMJTf73N/gcZU7W3EAztJBfMpV6qgdA4rEf4HdyHOHC3EoDx68ZiIC7p4h9CroJZ9J1X62PpcBP0xlCTsry7vAuPUNE0GoHhrCp29yMhH/g/ssgMtgcKrNos/x+yV00XOXI+ijn9eNw8QjUjSg6yiAGlN/IIc1kqkclNQiE7zym56pBwnmanH85G/Zf+LO006ADT874T606eb88vBWsLSoIkMxXDsHNrxu/wJ6gPenET/A9PpaMKERz2MlzBIuXAmMzoNg+A7JLTL/oOJseCJz1G+80Ra8fjpDiw8z9VJs3IH2v5n143gFTAHoxoFn9TN1CBAuvwbpefb3kqAc/LH0ALGvLOvSUNuBHeIT20VsWnUAZoAwYlwG+4480gG6gP/UNoB88eBCDBj16MF+/fj2mTq25hLL68+nTp1eOVc8bMGAAQTts2DD8+OOPlf/fuHGjMkhe08vPzw9nzpxB69atkZ/PlHAy0PTK6XwvYGPYQGVQBkzBgLa+sPdnX0bDxk1MoR6KbdMgy91BdMXZdEfgLCagbhIQVInBDGj28BJqLzutG2lmWAbVYIfyKCDmty0IjmV6N2dbusB1MROs4RFarVWnxfwFjwOvkvn3VA3QONy49z21BldHJsYe2omgKObeNseyHVwWMz3DxU5D7LpXEHT7GDFD4TQWsnEbxG6WaPAXyl1gh5sEb1KvXfDtMVg0+PUBGrtuCIJuM0E1heNoyMazW3rpI4+OfToDKacPwfvIG2SguVXQqMrALbkjmlVpESD0k6lP9554Rii2z4Ts0hcEcLzNswiYdVA8BmhBerPwKppv7ML6pHD8Gdg5uojaLjGDv3enGI3XtmeZcHn0aTh19BasWanKP+D1xwiC7xZs0EyeJ1i8FBibgciNb0NSuI+8GdXyJYRO+YZ3miI3vQNJwaO9c/UrqsUghH74Le+4KADjMBB/5BsEnJ5EhBlage5ChA86VDAJ+FE+YQh97VFchr4oA5QB/hjgO/5IA+gG+l7fALr6xPl77z0qS7R371689tprNSJQB8jVgXL1Sz1PfSL98UvdNz0yMhI2Nja4c+fOE61QB+zVAXj16/79+2jQQPcydOoF+qTXlStXEBoaWjkkPT29sty8tlf9+vVhZWVV+VF5eTlKS5n+JNrGN2rUiLyt7veuPklf00vd+72qTWrZah01vaytrVGvXj3ysZoTdWn9ml7qseo56ldFRQUePHjwRE7UWB73o1fjVuOv6WVhYYGGDRvqbKuaQzWXj19qLGpMutpaUlLyROzUT9rpMYafzkUfRdc/3yQK7qgawWpuduX/mmuSCz9F7lkFydnlRP9Za090mFH9tAP9Pgn7+1S0OgDtVFeIH+NkGxHY93+V11QhXfcK8y/DYWtX1hcqd0wUWjm0r2xHQq972q81pvx9Uv6wBtLUpQRImrUHXGb8Tf4Xo59yzsbA41fm9GCFygIWYddRVl5O7yP+8yzX9xFJh7YiNGkxWUfpVm5wnsmc2NZc+WK730vaPBqht44QM5QOb0I68bPK9UXv9x7RwuV9RMXKDrCxuM9ctwbsg4vvk0/TifW+PGHbJMiKqmxEN+8P3wlPrhwktu9T1euBEPyU8s9PCD79PoF1FXZwkGeBi/vyx0r4es4tWB2E9qrLxNbYkHUI6P82fc6tsii5+j7F7/gQzxTsIZqibfvC971dot6PuH3rBuw2sQPoF0b+gzbO7iZ5zuX7+/RYv5D2ja5fuwSnL0NYt11X302AbSsHrQ8hptiPeJqfzif9C+9DQwm+B6p6aBBeKLjnXHq/p/1+L3rdqwi5/Rfx379t3kTgW+vI/6Z8zq16Xx63aw66XfmK+b2z6QHvD/bS/Qjt2xHVrtlC3y+P+3E1umV9xOxz1vOG54JHJftrs1+eunE4gu4yrQdO2w1DwDuPEljpfrn2RSPGfaOqlnB1v6fWwdd1T5unxO6noqKiypbY6telS5dqjD/WcGkz+G0aQDeQQn0D6GvWrMHs2Y9OfP3+++/o169fjQjUnz8+db527VrMmDGDjPX29kZqairatGmDq1evPtGKESNG4IcffqgcU1hYiFatWulstfoLputr27ZtsLOz0zq8e/fuaNmyZeVn169fxz///PNEsYMHM6dJMjMzkZJS8+mlFi1aVJanf/yKjo5GXl7NmaqdOnWCj48PGX/48OHKxIKaXsHBwXBycqr8WL2BcuQIs3GqbY66N/3jC7C6131MTEyNstVBpL59+5LPk5OTkZWVVeN4R0dHhIQwD0InT56srEBQ00u9TtzcmLLh+/fvfyLv1E/a6TGGn66eOYrhhZ8QBZdUbRAXuKbyf1P4Kf7wVwhQTCH6c1X2iA1cW81g+n0S9vepW9wHsLMoJn57fPpOaNe9SMW/eDWZKeOsBvxDp3Vo0Kx15cMqve5pv9aY8vfp721z8VzuZgIk1sIXuf6zyP9i9NOD4msYfp6xQW2MunVA7uUr9D7iP89yfR/R8mY8umczpWkTLDyR4z+vxnsPsd3vNUneiRceMslnka1fg2TSdtD7PcbFXN1HqBNGByeMhaUFk/R6bsghpOUUPvHeVqz35RbnfsPL9/YS2xIaBCPHi7mP02a02L5PVW0Qgp8eXIrC8MKNBNbjChrm+PzUIWE5/FRpxFZl51nwe2UGfc6tsii5+j5V+x2xexU33V8X9X5EUWEBXjnzNuuytMd1FRo2b2uS59zHium+EeMCG8sH6B3Lfhb7yXcHrP47GKL5G2KK/Yin+en+jVyMuDCfBU21+AZiYmPp/t5/rAjBT48dpHm/F7u0J4LKEoj/9tuMADoPJP+b8jm36n25Kv0Qhtz9nuCIsfBFkXQR3Y+o4e6ZLz9pg6PLfkSD1O/Q78HvjH+b9Ubw9EcJqLXZL7dK+xmDSn7WukdC98u1Lxpd/FR1Jtf7EdRP5umnoKAgGkB/4q6HwD/UN4Cu7luu7l+ufv3111/o1atXjRYeO3YML7zwQuXn6nkLFy5k3Xyo+6Krsy8uXrz4RJZGjx6Nr7/+unKMvlkaNIAO0AB6zcuLq40FtUax3bg97YagIGYfht76kgxLgRsyAx5dC0zxIJQWdRQeh5iKFyWq+jjs/wUsLNlJMlxtfD82nH6fDPs+9Y4bBxsLpgpG2qCf4BH8AoQWQI+KisIriW+xjN3TYQUatnCiAXSBJHid+OwD9MzfRXx02ioEBV0/IP+L8UGo9M51DMtgt8Yp/iAdBTdu0wD6f57l+oG1RcG/6JG7hayjSMsAXPWbVuOFT2z3EY1SvsaLpUcZ+1q+DMmUr2kAvYqHubqPKHv4AEM1ErPUJxwTzz6q5lPTSwiB2cfY9Lnfe3j+BF4r3k7MyrDshFS/sCfaKrbvU1VjhOCnh9n/4LWbTGntDCs3uC+KhTkG0O3ObES38ijiAoXjGPj/bxUNoFdZlFx9n1qc2Ywe5Yoq3I/GLZdBog6gXy+6jpcT3mIlOO1xWYqGLdub5Dn3MZk0gM4s4IYPi9A3mbn/uq+qh8OBzG+K5o+JPr9P6rlcBCge3LqG4VkaibCzLyMp5SwNoP/nMCH46fHa0bzfOxseBE9VJlla+2zfhnXH58j/fO3vlZ0/jqHFTAUf9T5crmw5DaDXcEfJl5+0wdFlP6L6/QzT8qg2AfTSi1EYVsQkU15TtYAy8ONKeFxc92r6Pgltf48eDHzkKa6ecx+vA7pfXvOjLg2gP3EbQPgf6htAF9sJdFrCHZXl3mkJd+3fRVrqRDsv2krkxny9AN1yq/S7aySDx5RHmY2mKJmWl50Gx68kLMCF752FTbMWrPe4LL2qVkS/TzX/rj3t+1RRUQ6bNY+qYTx+XRjxFzp4BguytJ3Vynaob8G030gd+AtcfaS0hLtAWowoNk+E7Np3ZC1FNVOXEGXK24mxxNOtGwVos9WX9R3JH5eAFvbtaAn3/1jhuoR7/Ndz8Ewes46imzwPn0nMOtO8Aj7tuld1vBB+n+J3TsUz+cwplmjbfgiZtoeWcK/iKK78dD3/Mpx2BrGWUNF7qWjc7FGFq5peQigN/hibPvd7KSf3IVjB9HTMR0s0nZP6RFvF9n2qaowQ/BT/0zo8k/GoOpT6lVrfF17zT5llCffqLQIGIHjKt7SEe5VFydX36dzHg+F/P5JoUnaYBP/XF4u6hHtlS7mV7dHIgmnTl9xvLzr5dTfJc+5jMvlqifBYv5Cec88pDsD/5LtknRWiOWzmMFUnNH9M9Pl9Us/lopRxYV4OnL9m71cUT8lEoya2gmpVRku4P1o9mvd7ueEerFZzUUHr4NubaWHIVynjxCNfQho/lyz5HIt2aDMnlpZwr+GOki8/aYOjy37ExXU90KUsnUyP9FoAyfBHVX9rU8L94rk4dPllAAtOwcRUNLFtycl177Eirp6fhPj7xPV+BBe/T9RPtfs+PenBVV8/0RLuT9wGEP6H+gbQxdYD/WkeUAfY+exB8DR89HPKgFAYiNz4NiSFVXpZthiE0A+/NRm8+/fuoOFqdvD14sgTaN/Z32QYqCLDGLhdfB1N17uyhFx9OwYO7d0NE8zR7NthDmhqUUKkp/XfCw/Jixxpo2L1ZSDyk/9Bcv1X5mHTbigkk3foK0ZQ4x/cv4cGK9uyMF0adQrObuyguqBAmxkY5aZ3IS1gyk5HtRiI0A93m42Vii8+hOwyU00mpukLCJ7xk9nYJ2RDLp9PgdOuZ1gQ1S0aGjayETLsWmPLiD8J9/0vkfmlKivUCyuEhaVlrWXSiU9mQLFrEWTnmXZLiY1C4TeHqThhTvwpvpwL2QWmjUtiIwn85jy5TZk52c+nLSnLn4V3aRKBoOwyB9I32GWr+cRXW9235I5ohrtkemq/PfCS1tyusLZ66DzdGIj7fScCI5mqTJcsHOEcdla3yTyNKi66BttPO7O0F4xPRGvHDjwhomr1YeCm3AnNcYdMSe7zDXy6Mfcx+sgy5tjE43vhd4JJJlEnJNrLn1y9yJj6qSxuGSiUu8AON4mSxB5b4NcJ87NZAAAgAElEQVTr9VorLX1wH5bL28LaooLIeFz1sdZC6UTKAGXAYAb4jj/SHugGulDfAPqBAwfw0kuPbiLWr1+PqVPZpUarwlF/Pn369Mq3Dh48SPqhq/9/7bXXsG/fo2Ccugd28+bNa7TEz88PZ86cQevWrZGfn2+gxezpfC9goxpDhVEGOGQgdu1gBN35m2hQl0qUjWc26ThUTUTfkrdFM9wj/6e8+B28n2FnV5oCB9VROwYK8i6g9VY/1mR1eWrbVm1qJ5DjWZoPM8kv7IJP98Eca6XidWUgZt2rCL79V5VrElPuTFcZQhunqqiAKrwlq4Ro1tDD6OQrFRpUs8UT9fFIhN44SOxT2g+H9H2m+orYDVfsmAXZxa3EjDib7gicdUDsZokCf9aZ0+j0U3+CtVxlAcuw62YbUL56KRMO29kn7oX8my+KRfQUkIpt0yDLZRLJ4pr0ROBMJtHMHGx8bEPUvvUITZITkx6XqzcnG4VqS+aSQLiVZxF4UX5LEfoK00JHqLifhkvzvj+p1y749qD3/U/jjavPo/ZtQGgS0/Yjw9od7gtjuFJnFLkld2+j0Zp2LFmXRyvh1NHTKPKpEO4YqFBXWItoJchnsLTII/D4fRgx/q6qIWzCr3FHBpVsMga0Jc9nDzsCV292JQt9AeVEeMOlIpf5nfYNR+jQmmM3+sqn4ykDlAH9GeA7/kgD6Pr7jDVD3wC6um+5uqeI+jVhwgSoT6TX9FJ/vnXro0069TxXV+bkobqPurovuvqlUCgglWrfHC4rK6sMrt+9exc9evTAiRMnDLSYPZ3vBWxUY6gwygCHDKQs7w7v0jNEg7LzTEhHLuJQY3XRFyO80L7iMvkgNmQdggYy2bgmBUOV6c3AxfQEtN/dkzWvdN411G/QUG9ZpphwRe6GtiggqgzNBjYF5rqkI2F1P/jfY3pwqkuISt9aLnoK7oXZo7HFA2IHzRg3rUtj1w1B0O3jRKnCaSxk4zaYFgSH2hRfLYAsm+mLR09tcki2hujkf3+Dz9FR5N0baIoWcmZzy3RITKNJ26ZgzohjcPFkB9VNg6ZuaFFungDptSotGpr3R8hU5n9zYiHhr+/h/88EYtI1tEIb+XlzMlGwtlwK94SzKo/gi5N+jMB+bwkWr67Arsrd4EDv+3Wli/Nxym/DIc34iOhJbuAPn3nG3Qs0thHqIKzlEnZblsftyoyti8ozLgPF1wtg+4kbS+jVd2Lh4Mx+z7hadZOWnRoN1x96swaXLyyClbW1bgLoKMEyoK061a2p59GseSuDMMetGYTAu/8QGco2b0D6Xs2xG4OU0cmUAcqATgzwHX+kAXSd3FTzIH0D6CqVCu3atUNeXh48PDxw9mzNZZQ8PT2RlpYGJycnXLp0qbJv7OPXkSNH0Ldv38p/V65ciTlz5mgFqVQqIZPJKj+bN28eli837uY43wvYQPfR6ZQBkzFwIcIXHSouEn0xQasR/BKzcWUKINVKBvIQxDeFneaqIyPhH7j/MoiYV6qyRv3wIsGaq5m5GyfZgMD+YwWLt64Bq5bUYyYlRK/LndESt4g7k3t/DZ9nX65r7uXN3sRVL8KvhOntqnCdDNmYZbzhMbZi5bcRkGasI2KTGgTAdx5TXcbY+qg8hgExlqM11H+aJZGFUg7VULuEOt8cW5vUxHV63Al0/pX5bVTfU9YLKzDbig5CWnPVTmo/vxO+PV8VEsRaYdFMDIiXfYKAvmNqJYtOMpwBxfaZkF1iKgCJpWJOaVgr1LcoIwRkDP4N7gE9DCeESuCUAW2BzHszL6JxE1tO9eoi/OrFDDjsCGYNLf4wC7Yt7HSZTscImAHN5NrbqkZoGn7VYMTKbdMhzd1O5JxpGIKuc/80WC4VQBmgDNSeAb7jjzSAXnvfVc7UN4CunvP+++9j8+ZHPcdqOj1eNfCtHr9p0yYW0tLSUtjb26O4uBjqQHtKSgorwP548MSJE7Fly5bKf6OiohASEmKgxezpfC9goxpDhVEGOGRAM6jDR1m72HWvIOj2MWKlou1oyCZ8yqHVVLQxGUj59yC8j44kIoV++i5rSQA6lTOnmWICVyL45feMSQmVZQADGUuC4F6eSSRE+S1B6CtTDJAojKmaJ6ASum+B/wu174MmDKvEg0IzUSvSYy4kr88TjwFPQRq5ZxUkZ5lk1NR6PvBa8K/Z2CdkQyL3roUk5VH1LfUrzdoTHguVQoZsMDbNRLSYkLUIHjjOYLlUgHYGYj4aiuBbzAapOd8naw0oTMmEbcvWdHlwzEC1SjkDfoRHaB+OtXIvPjvCD64VF4giPpLFubdSPBqUn42HNH8PARwtkooami3nzvb/AZ6SRweH6Eu4DGTEn4T7fqbfuZCSsm7dLEKzDR1Z5F0ZG4W2Ll2ESyhFphMD0b9sREjCAjI229IFrouZqp86CdEyKObgFwiOnkk+uQo7OMiZ1iu1lUvnUQYoA7VngO/4Iw2g1953lTNrE0BPT0+Ht7c31OXVg4ODcfLkSTRq1IggKSkpqSy3HhMTA2tra6SmpsLd3b0a0qpl3FevXo1Zs2axxqiD82o5aj09e/bE338b/4QM3wvYQPfR6ZQBkzBQXlYGiyV2vPeEqvYgbdsXIdN+MAkHVInhDCT8+R38T00kgvIs7OEYlmG4YI4knFsqQZeyNCI9yicMoa9N50gbFasvA5otHcylQoBmwCk2dAOCBtDKB/quj9qOr56YYR69XR/zodlT9Jx1F3RZGFVbuug8PRhQfjkf0gtMQnFdKJ9fvXLQLEhHLtSDNTpUHwbiV/dHwL3TZIrCZSJkY1fpI0I0Y++X3EXDVY4svDmvH4eLR6BobBAjUG0lqo3Rr1UIXGQsDYZ7GfNcYi6JmULgtjYYoja8gdCbh8hUpf1wSN9nTqTXRqYp5lSr0NDrS/j2eMUUqqkOAxhIOvETfI8zz1uFaA47eY4BEo03Vb0XZ7WUXdLbXK67xmNJnJIUO+dAlsOUVk9sFAq/OUcNNuZ8ciQ6/vgiS87tadloastuMWGwIiqAMkAZ0JkBvuOPNICus6seDTx16hQyM5kTW4WFhSRw3a1bN7z7Lruf8Ftvae9npS6nri69rn4FBARUlmBX90bPysrCqlWrEB8fX/nZk8qu3759uzIArw7Iq1/jx4/H66+/XhmMP378eGW59jt37lT+f/r0afj7++tp7dOH872An46QjqAM8M9A0bVctNrszQJSOP4M7BxdTApOuWsRpOc/ITrPNAxC17nMiXSTgqHK9GYg5sBWBMcwiVLGyrDVG4iOE1KW94B3aSIZrTSTEuE6mi/4YflyV9jjOnM9eG4Huj43VPC4nwYwc0kg3MqZDPFo/2UIGTL5adPo50ZiQDMxw9wSGKL3f4aQeOZEfZZVR3Ra9Oienb64ZUC5eSKk174jSqLrQBJg7NrBCLrDJEArHMdANp65j+OW8bonPWnFc/B9wHyfle4zIH1zsdkSodkiIKXPbnh3G2i29grBsDu3bqDJRx1YUPLeioJjB/GfhDy7TAbPh6nEtkivhZAMZx/wEIIP6gqGuDUvIfDuSWKuwvldyN5hWtAIlYe8cHc4qvIJvIRnP4d/7zeECpfi+o8BzRO7Fyyd0WFxsmD4uRPmgCYWJQQPrWwgGNcYBCTq4zcReuMA87vTaggkH3xlkEz15Af378F6hSOsLFREVvrL+9E58DmDZVMBlAHKQO0Y4Dv+SAPoevpNHRD/6ivdL8jqnufaXhUVFRg3bhx27NhRI4J33nkHW7duhaWlZY1j1MH8AQMGICND+ynEZs2a4dtvv8WgQUzfXD1NfuJwvhewMW2hsigDXDFw4WwMOux5gSX+4fx81KvfgCuVWuVG/7IJIQnzyWfZlh3gupgJcJoUDFWmNwORe9dBkhJB5gm9fG3iyt7wux9N8Co7fQjp/xj8ehNAJxiVAc2NhLT+e+EhYWdaG1WhiYRV38BdAMnw2SbSTtVoJmYk9twGv+eHmQ0xsYe2IyiKqaSRY+kMFwFtEJoN0VoMiV4/AiHFfzC/KW1eh/S9R22qzPUVuekdSAp+JOZFNR+A0KlMEoG52s2XXZqVcyK9F0MybAZfcDjXWy3hKWQdggayDwNwDqKOKSjIu4DWW/1YVt+cfA7N7RxEz0Tyip7weZDAXKM704oZfDq1WkKQ2zRIR8n5hKST7uqVpD5C0IB3dJpLB/HHgGaLo7P1vOG5gKnowh+yR5qvyTuiDYoIjMQeX8Cv13C+YVH9BjJwZmUvdL0fS6QoXCdBNoZptWWI+EvhnnBW5TH34GbS7s4QTuhcygCfDPAdf6QBdD29b6wA+mO1hw4dqgySR0dHQ32a3c7OrrJP+YQJE9C/f3+d0N29e7eyR/revXsrT8er+6M7OztXBtY//PBDuLhwd8qV7wWsE0EGDjrz9z5YKj5BSUN7dBixBq0d2VnjBoqn0+sAA8n//gafo6OIpTfRBM3ll01uedLJn+F7jKmKcR3N0FJ+yeQ4qMLaMaD8NhzSjI/IZKFXEIhbMwiBd/9hHmjaT4Ds7dW1M57OMioDqooKqMJbstpKnH/tCDr6SIyqhw9hSSueh++DOKJa6T4d0jfD+IBSJ3VqnmhM7bcHXtJ+ZsNF/JFvEHB6ErHnskUbOIU9qgRFX9wykLCqL/xLmJ7nig7vQfbWo2pe5vpSfDkXsgubiXnGKk1prnwZale1Hs6BqxD8MtM6x1D5QpufuvxZeJUmMb+XNODJuYsupieg/e6eLD2l866hfoOGnOvmWkG1xNmOUyAdvYRrtVR+DQykLw1B5zLm/iTKV47QodMEz1f1SlLLETKEue8SvAF1FKBmKe2ExjL4z2aSHvmm5UKEDzpUMPteMcFrEDxoPN+wqH4DGdBMuIkx4n1b/OoBCLj3L3OP5PAmpBM/MxAxnU4ZoAzUlgG+4480gF5bz9F5lQzwvYC5dsONgitotNEXDS0eVqq6ZOGIppOOm0WWONfcUfkMA7EHtyEomjnBctHSCe0XMyXuTMVVdkokXPcyJ0wrVBYoX3DN5CfhTWWvuelR7JgF2cWtxKw4m+4InMWUrBKavTEfDUXwrT8JLFp6VjgeunenGI3XtmcByhsTCUdXD+GArCWSutTDtpYUcTZNnZhRFm6HehblREfmK4fg5teNM52mFnzm+I/oeoI5CZWPlrCXZ5saRp3Ul7ZUCo+ys8T2ulAeOGrfBoQmMQlAGVZucF/EnLSpkwuBQ6Mvh3eGk+oa0RD/zCYEvMgkwHKomhfRcWtfRuCdE/Q+zYTsZ8SfhPv+l4jGUpU16oczpyJNCMXoquLXDETA3VPMeqKJs0bnWB+BYm2pU+233nsRJMNm6mM6HcsDA8rNEyC99j3RHG3bDyHT9vCARLtKuq4E4wqjAVE/d5aEO6CxxQMi05iJ24ovpkJ2eSeRTZNYjeY6KogyUCsG+I4/0gB6rdxGJz1mgO8FzLUn4g9/hQDFFJYadTki1+lH0bCRDdfqqXwzYUD53XJIz61ibuzq+cBrAZPNaCozr+dfRsvPvFjq8sclwN7J1VQQqB4DGKje/1VYD6aapkV9PBKhNw6St5X2IyB9n0kAMIAKOtVABgqvXoTd574sKdffT0VLeycDJfM/PXbdKwi6fYwAoYkbpvOJul9cg5VtWQovjToFZzf2WjMdIuNr0qwoQyu5GJ/jmiRqllKMDd2AoAFjTQeAB00Jf30P/38mEM3X0Apt5Od5QFI3VBbJ26MViomxSb12wbfHYLM1nrYIML1rNX9DbqApWshzTQ+EA43V7r+c3oJs3MccaKIidWGgUO4CO9xkrmfP74Rvz1d1mcrrGNoKgFf6a61c6G12zqx8AV3vxzD7ErRCRq19LZSJNwuvovnGLiw4V8ZGoa0L+73a4o35bQuCY5k2cHkW9nAM0946t7Y66DzKAGVAdwb4jj/SALruvqIjtTDA9wLm2imaJZMf64tt+jwCpu6DpZUV1xCofDNgQLltOqS524klcTY9EDjrN5NbVlFejvKI1qzTgRlDDsDdv7vJsVCF+jMQ+eloSIr2k4mRdq9CMpnJitVfIrczIje+DUnhPqIkunl/hExlMtO51U6lP4mB3MxktPuGfSr4/pw8s0gMi9rwBkJvHmI2SGjihsm+DNo2MgrHn4GdI3ethExm3H+K0iKPwON3pqf7bVUjNA2/amoYdVLfDXk7tMBtYnty76/h8+zLZs1FetwJdP6VsbFUZYV6YYWwsLQ0a7v5Mu5emD3rJFPawH3wCOnNFxzO9VZvESCB35wjnOutywoSju6G/7/vEQrMaUO+egDtDUjf+7wuu5tX20vCWqORRSnBkDboJ3gEv8ArJl2UJ67qA7+SKDJU4ToZsjHLdJlKx/DIQMLqfvC/p2D85jIRsrHMARIeoVWqjl07GEF3/mbw0QQfvl1isP7MxH/h9vMAIqdcZYEKI1bXzDpzGp1+YrfVvTfzIho3sTUYOxVAGaAM6M8A3/FHGkDX32d0RhUG+F7AXDtDMzO/qj6F42jIxn/KNQQq3wwYqBb4bDUEkg++4sWyfLkr7HGd6E7ovgX+L7zOCxaqVD8GqpdEF/Y1SDMBKduyA1wXJ+pnNB3NCQOaD5wPVVawNpOgjGbiRmTLlyGZ8jUnPFKhbAau5JxD252hrDfvTL+AJs1amA1V55Mj0fFHphWK2rDb07LR1Lal2dgoREPUCYCqiFawslAReFlDD6OTr1SIcI2G6erFDDjsCGbJK/4gHbat2hhNBxX0iAH1GkNEK1hWWWPZw47A1VtithRF7VuP0CQ5sY+2CODe1TG/fo7guDlEkTndG0d+8j9Irv9KbIu0GwrJ5B3ck0o1VGPgYekD1Ftuz3o/5/XjcPEIFDxbcWteQuDdkwSnwnkcZO+sFTzuug7w7DIZPB8yLQojPedDMoK51vHNT9QnoxB6nTnAQq9PfHvEcP3xR75BwOlJRJCxqzSV3L2NRmvasYBmD/8Trl4hhoOnEigDlAG9GeA7/kgD6Hq7jE6oygDfC5hrbySs6gv/EmWNaiK9F0MyjOltzTUeKl+cDMStfQmBd6o8CLZ7G7J31/NiTMbSYLiXMaWHonzlCB06jRcsVKl+DGj2dlZ2mATpW8v1E2LC0WlRR+Fx6DWisUJlgbvTz9NAkwl9UJOqVMXv8DrMJM7cgg2ayfMEgMxwCMrP34f06rdEUEyzPgie/qPhgqmEpzJw4WwMOuxhn24qX1gEK2vrp84VywB1mXqLFe1Qv0qf95Q+u+HdbaBYTBAlzuKia7D9tDML+7V349CmXSdR2qMr6Psld9FwlSNruFiCILraKJRx9+4Uo/Ha9iw4l0cr4dTRUygQjY4j4c/v4H9qIpFr7M1nowM2A4GRP6yBJHUpsSTN2hMeC2veaxCTycpN70JasJdAjmoxCKEfMvdjYrJF7Fi1VQQqGJ+I1o4dBG9atYTxtqMgm7BJ8LjrOsALET7oUHGJef4KWYvggeMEQ0v1VngvImQac70SDFAKRGcGNNtkptXzgscCpgqCzoKeMLBA3gGtcYOMiH9mEwJeHGUM0VSGGTKgfm67kZ8LB2d3Wi2MA//yHX+kAXQOnFqXRPK9gLnmOjuiK1wrcmpUU6ayRMpzW+H3PFPOk2tMVL74GEhZ3gPepczJW2XnmZCOXMSLIZpJIQqBldfihRSRKK22jrrMhvSNBYJFr76BtFzpzAo0Jb+wCz7dzbefqGCdoQEs8dgP8DvJbGpchR0c5Fligf9EnIrtMyG79AUZw1fLDLMgU08j0mL+gscBpr9miao+GoUX6ClF+MMzlgTBvTyTAFW6TYV0VLjwgYsY4aXMJDh/8yzLgvuzL6Nh4yYitko36LfkbdEM98hgmrChG2/6jiq6lotWm71Z0wonJsPOwVlfUaIZX71FgDXqhRXQTT8OPaj8ejGkWUxf8DMNg9B17jEONZpOtGYCY7QtDVCZjn22psvnz8JpF7tCy90ZObBp2pwvSDrrjfr4TYTeOMDcY7UeBumkbTrPpwP5YaBQ7gI73CTKk57fCd+ezDMBP6gYrYqdcyDLYVpKxDd+BgGzf+cbFtVvAAOavzmxTXshaMbPBkisPlWzsoLSfQakby42qg4qTPwMqNsjXv7jI/gWHKhsBZVS3w+uU36j5f6N7Fq+4480gG5kh9Y1cXwvYC75VlVU4F54W9hY3Cdqom37IqT4MEvtPVUD5L36M9z82P1kucRGZYuLgfMRfuhYcYFZRwErEDL4fV6M0HwoFXofbV5IEqjSatUD/JYg9JUpAkX7CFb60hB0LksnGBUd3oPsrZWCxlwXwMUe3IagaKZ6So6lM1wWJ5uF6cpdiyA9/wmxJbFhCPzm/mkWtgndiIS/vof/PxMITHM9zajZliW26fMImvGL0N0janx1JTlDm5MuRnihfcVl8lFsyDoEDXxX1P4UIvi87DQ4fsUu127uvS61tgiYkgnblq2F6CKzwKTYPgOyS0ww0JyS/BTbpkGWy5Rsj23yHIJm7jcLv4nNCM1WTepDH1ZhRaJIjtFsxRTV8iWETvlGbC6oU3jV+6YPw1ujvkUZsTtj8G9wD+ghGB6Uu5dCmr6G4Emp3xXe8/8RDD4KRH8GqvW156BaRfT64az9f7p3qr+fzHWG+rp3NuoIHpz8BH53T7NaQKltpr9dxvc83/FHGkA3vk/rlES+FzCXZGsrfZX3VhRyjm6G7PJOlupCNEfJqANwdvPlEhKVLVIGNPuOJ/b4An69hvNijXLbdEhztxPdcTbdETiLyfLmBRRVqhMDORHecKnIZTbRQzcgaMBYnebyNUiznGNiIwn85hzhCw7V+x8DUfs2IDQpjPCRbt0ZnRdGmwU/muXcUur7wnv+KbOwTehGRP38KUITFxKYWVYd0WlRvNBh641Ps29wroUD2oWd01sOnaA7A4nHvoffSfNPztDGSOryZ+FVmkQ+Ugq8+ozuXhXWyPPJkej444ssUBWLrsPSykpYQI2IhrYIMCKZOopSbp4A6bXvyejo5v0RMpX5X0cxghxGT3gKxy0ppw/B+8gbBFAxbGArklZNtJKBcNaRrkjE0AJF8xkl06oT3BbF6WoiHSdABs4tlaBLWRpBFuk5D5IRc42KVLFjFmQXtxKZNDHfqPSKUpg6cB77+3bYxm9htUbVZkycbCMC+/5PlHYKETTf8UcaQBfiqhARJr4XMJdUZcSfhPv+l4gKdeYuFl6DlZU1YjcMQ/At9ok2dQlc1dhDaOvShUtYVLYIGbgfZoeGFg8J8nODfkaX4F68WBK5ZxUkZ5m+2ebUe48XQk2oVDMR40zP7ej6PNNj3IRQdFYVc/ALBEfPJONvoCmaL74oihMQOhspwoHK3UsgTV9LkCc38IfPvBMitKQ6ZHNODhC6g5TfhEGauYHATGoQCN95x4UOW298WWdOo9NP/Vnzij9Ih22rNnrLohN0YyD6l00ISZhPBmdZuaLTogTdJot8VNzalxF4h7k+KxzHQDaeqbIhcvMEAz/51K/w+ZPZ5BJTwMkQEmmLAEPY039utUpgrV+DZBKT2Ky/ROHMqF6ePgRdaQUgXhyUcHQ3/P99j+i+gtZoK2daz/ACSkel1ZL9m/RA4MzfdJxNh/HBwNVLmXDYHsS+L/4wC7Yt7PiAo1Vn/OGvEKBgKvfR5FfBuKbWQDT3xhKe/Rz+vZnEoVoLrjIx5tfNCI5jgvKXLBzhHHbWGKKpDJEyoHkf9yQzbqIJSsedgr2Tq0itFRZsvuOPNIAurPUgOjR8L2AuCYv7fScCI6cSFXkW9nAMy6j8/8H9e8j86EV4VzkRon7/skUb1Hv3ML1AcukYkckuuXsbjda0Y6HOHfUv2rn58GJJ3OGvEaiYXGVdt4FjGFNimxdQVKlODNwLs6/sqfP4lTZwHzxCeus0l69BeRfOwfHLUMGsf754EJpecz4lFHNgK4JjZhHKsy1d4Lr4jNBcYJZ4FFsmQXaFKbMZ0/QFBM/4yexsfVj6AOXLnFiJcUm9voRvj1fMzlahGKT8NgLSjHUEjjkl/TyN42rlbJsPQOjU7542jX6uJwOarU3qyiYpbRGg50IxcHjsuiEIus0klimc3oJsHNMT3UDxvE6vXgGIlkjmyyHR+z9DSPw8ov68ZQd0XJzIFxy99GomY5pTlSy9iBDR4KwkJTrt60sQl6ssYLG4SFAVXJL/2Q+fv0YTjDfQDC3kl0TEMoValYHSB/dhvdyBVTY7a+hhdPKVGpWotKij8DjEHFgpVVnDatE1WFlbG1UPFSYOBm4UXIHtRs9q5drV6G+rGiHTJhAB9/5lGaN+ZvWafUxQ10NxsF0dJd/xRxpAF+vKEQhuvhcwlzRo3rxr9sm5dbMI+Z/2gVt5FgtGjmU7NJlwGK3asIOmXGKlsoXLgNaMXB77C6ZF/wmPg0MJYfdV9dAgLJ+eCBbuEqpEpq3M5qU3T8LZ3U/QyNUljooiXGGHmwRndMAKhAx+X9C4zR1ctUBnsz4Inv6jWZgdf+QbBJyeRGxRJ7Y50SQhk/g2asMbCL15iOiKNKOTdZoEapYNVLhOgmwMU93FJITXISWKL6ay2ifFNemJwJm/1gkGNBOeaCsUbtwe+f0KSNJWEuFn63nDc8FpbpQJSCptEWBaZySu6gO/kiiiVOE6GbIxy0wLgiNtkXvXQZISQaTTKmccEa2D2Mg9KyE5u4KMTK3nA68F7E19HcTwMkQz0PlQZYWy2TloZNOUFzxU6dMZSP73N/gcHUUGqk9dNpdffvpEE47QrC6qDoTWDy8yIQKqypgM5GWnwfErCUtkMQd7rIVXL8Huc/bBp6tvx8ChvbsxzaGyRMJAyr8H4X10JAut+qDlRfcx8Bk0CTZNbBH/0RBW5TD1YGXHKZCOXiISK4ULk+/4Iw2gC3dtiAIZ3wuYS5IiN46FpJA5OaWtR5m6T/qNz16Ea0UOC4q6tLKA3RAAACAASURBVKTd+4dpOU8uHSQS2ZqlXvnOyNV2IvjW1PNo1ryVSBitmzDzL2fD/gt/lvE3J59DczsHwRMSv3oAKxMz0u5VSCbvFDxucwYY+ekYSIp+ISZGthoCyQdfmYXJSSd+gu/xscSWArRAa/kFs7BN6EbEr+6PgHtMwEnhMhGysauEDrtW+DRPBcfZdEfgrAO1kkUnPZ0Bc75mPc36qH3rEZokJ8MyrN3hvjDmadPo53oyoNg+A7JL28iseJtnETDroJ5SxDectggwrc9Sl3WD18Nk5v6Lg56tprWI0Rb9y0aEJCwgb9Aew3x5AlB+OR/SC5sIADElXt29fRMN1rrC2qKC4E/psxve3QbyRyjV/EQG4v74EoHKD8mYXIu2aBfG9KYWAn2XMhLh/G0PFpT7c/LQsJGNEOBRDHoykHL6ELyPMOXa76oaonHYFaMfClIfBikJd2BVgaTXIz2dZUbDNduhXrBsD+f58ayKBMXXC1DyiRQOKCSWqxPBLgz5Be4B7GuQGVFjElP4jj/SALpJ3Gy+SvhewFwym7jqRfiVRBIVivYTIHt7dTWVhVcvomRLXzir8lifqctN1R+6GcVXzqPkShosijLQ5E42WpZexfX6jmg2fBOc3Xy5NIHKFgADQisXdf/eHTRc7cRi5uLIE2jfmR2cFQB1FEIVBs4nR6Ljjy+SdypUFlAtKhRF+SjFrkWQnWf6tdINNf6XdsxHryH41lECROnwJqQTP+MfmBEQnI08DM/fhxNJ91QN0CjsqtEfqI0A1exEpC2VwqOM6QsX6bUAkuGzzc5OtUGagYKraA0HkfQXFaNDqgX5nMZCNm6DGE3RG3PCn9/B/9REMu8q7OAgZ1e/0lsonVCNgWpJGi1fhmTK12bPFG0RYFoXZy0JQKfy80RptP8yhAxhWmuZFo1xtcUc/ALB0TOJUPXGcofFScZVQqXpxED1SlO9ETx9n05zhTAoY0kQ3MuZnu3mnJApBL4NxRD140cITQ4nYoRYdl/bSeKi91Jo1VBDnc/TfM02FRcsndFhMZOcZkxY2RF+cK1gkvGjfMMROpRp9WpMXVSWsBnQPGQZ00z7b6s6wcPz8EhWqXd1a6iW0xWwadpc2EYKGB3f8UcaQBfw4hADNL4XMJccXYjwQYcKpi9OtP9yhAxhysJW1X0tNwvl2/vBUZWvM6S61L9RZ1LMcGDsoe0IippOLLto6YT2i1N5tfSWvC2a4R7BQLMoeXWHTsrFUBqtJkNSFb/D6/Dr5OMylSVKZ11A4ya2OtlOBxmfAc2qAOa0MaWtpFv+uATYO7kan0gqkcXApXBPVjJhbOgGBA1gqgGYE10Xzsagw54XWCbRjTjuPJy8oid8HiQQBUr3GZC+uZg7hQKSnB73Nzr/OpggUpcdrRdWQJOCjOyjuDUvIfDuSSJVUUeSNBRfzoXswmZit5hOqhp5CZhEXG54F7RTXSW64mWfIKDvGJPo5lpJ3OGvEahgkgFyLRzQLuwc12qpfC0MiL1qi/KzcZDm/0AsO9MwGF3n/kV9LVAGNJPlzzQMQde5fwoKrbZDJJdGnaIHmgTlJd3BKL6aD1k2U2WDy2tEtQprTm9BNu5j3cHSkWbDgObzqKLDe5C9xbR/qmqo4osPIbv8Jcv2qBYDEfrhbrPhw9SG8B1/pAF0U3vczPTxvYC5olNbqZbUvt/DS9a/RpWXz59FvV0DYI/rOsFSl/K+N/08mtq21Gk8HSROBiJ/WA1JKtPbLq2eFzwWKHg1JifCGy4VuQRDTMhaBA8cxysmqvzJDMT9vhOBkUymqzqD0TmMOekpZP7u3SlG/TUdWKX4nnY9FbI95oCtWjCq80xIRy4yB9NQUV6OexFOaGJRQuxJ7LkNfs8PMwv7hGxEsdwRtrhLIJpzclZ5WRkeLHFklfRL7PEF/Hox1Q+E7CuxYcta4o9O5dkE9pOSWsVm29PwXsk5h7Y7Q1nDuOjz+DQc5v55Xe0FXq1FgJUb3BfFmru7ebOvUO4CO9wk+pN6fQnfHq/whseYihOP74XfiXeJyGtohTZy5rS9MXVRWU9mIGbdqwi+zQScFW1HQzbhU9HQFntoJ4KimOfe26pGaLwoVxSV10RDshGBKrZ8ANmVXczeUg2nMo2oUm9R6v3dh+F2qG9RTuZmDP6NllTWm0lhTNBMsom27YeQaXs4AafcPBHSa98R2bFNeyFoxs+c6KJChc2A5j1cnGwjAvv+Tyvoh6UPkL36WXQuS2d9ntB9C/xfYA4XCdtiYaHjO/5IA+jCWg+iQ8P3AuaKsOv5l9HyMy+W+Ktvx8ChvfsTVV5MT4DN7pfRCsU6QTvz3A50fW6oTmPpIHEyoNg5B7Kczwn4hMYy+M/+g1djUpZ3h3fpGYKhLp3k4pV4A5RH7l0HSUoEkXDO2gNdFjItJgwQbZKpmUsC4VbOlJxVdJwC2eglJtFNlVRnIH1pCOtmPspXjtCh08yGqrRlMng8ZCp90PXGvWvVD4n1ltuzFGUP/xOuXiHcK+dJw9llz8DzYQrRXlOrH57gmZXaa/KOaIMiYlNijy3w61U3Nh/ul9xFw1WOLH/mvHECLl1o6x1jLvKcCB+4VKk8FhO8BsGDxhtThSBlabYIoEFPbt10L8yelXiVNugneASzq5lwi4A76cmnfoXPn8xG8nU0Q0s5U82PO81UsiYDiav6wK8kirk/cZ0E2ZjloiGqIO8CWm/1Y+HNGnoYnXylorGhLgGN+mQUQq//RkyOtBsKyeQdgqPghtwZLXCL4Eru/TV8nn1ZcDgpoKczELvuFQTdPsZc4zhMEorcsxKSsyuILiG2KHg6Y3SEoQwUF12D7aed9Xoey81MRouvX4CNxX0yL6lBIHznHTcUTp2cz3f8kQbQ6+SyM57RfC9g41nClpQedwKdf2Vuph6qrGC5KF+nrNfslEg0+HEUKed+CzbIs26P2006wLE4Dk6qa8wPfR0pD8iVn8QgV/l/9r48Lqrq/f/NIuKKCgoiCMgisgiyzUyWpa1qabZYlh/LXLLFcsld2dy3tMXM0jSzsrTNFttLy2aGTVYFQUFBFAUVV0Rgfq/5fL6/c7kXUpi5+5w/Hc95P+/nfQ4z957nOc/zzmRozzDZkKldhiJ22k5JqTfNSh8L3fNMCSRJyVHjzSrALVOltBKb3H5BB9sPxIDZP9DVlkgBbouS9Ni1iB7O3BqSiBZvZrmlK9M63Y2YmV/yhk+BmirQXG/Byik5cPPorVq5DBufh7aC+T2XQ4KcWsVWc9CpJWvWpPXOfZ8i9LZhLZlKx7RQAe7Bes6Q7QgfxJTObyGM4oZx33lpiwDhltBcucRhiSvLQMkTv8G3X4xwRkVEzjf+jOC9TLUf863hTklMuXoRqdi8KW6Cn7HffGiemKMoXU4mBbHOzZTog6IEt4JskxYo3hOhm7DWCkRhpnL31M1ujwrDgKLypYCYF4Ky/9iN/vsmEOrn0QldE5lqnnz5RHHkrQD3GafW5AC7BafQxqntTYkbP18NzaElZMxVU1s4LSyDYxsneTssQ3ZSxx9pAF2Gm0JJlKTewEJpxe1bfdLOHb0S2KU3bmbb3GOn4ngBOnZzR7funqRPIbe80SGncITM/1soNyiuDBRIXfc4Yqt/JkwM7mOgfYG5kS4FRe6hf6rLfYidvksKKtRmCxXglo5KdbkfsdOZ3nAthJFsWOo37yD24DxivxJd4BpfTHu4SrQipxP94YFKYl1tpae5rTNK7HvDNz5HIrVtw2xzPcFvzD9zy5dKJauT9u0mxKTPJi6cRVd0TyxRskuy5N7cDWxb61tZmtQP3qZysj7pca8jehhzmCfLhVMQKXNg026xG+ztTIS1rdx2PH2iEB4fsAO4tEWAMJv34oUqdF7fhwXekgp3wrDhH7Xw4H4EfvMQAb5uaoO2ScyzJv8WKeK/KVCcHAG/BuZ5JC1qBWJGvKAowbhnKDQZVr7Ll7dsEEJrs5jzrqBZ0D61UHaEuRXxUiOXIvbhl2XHkxK6tQJNqgZFr0LMQ8/feqIFI0oLs+D98SDWzIvTjqFzF3ZCnAXQdIqCFOC2PGrp+VJzlwyKRv2AgIiBCvJeHlSljj/SALo89oFiWUi9gYUSzrB9EbTH3iTwuW0jETZvn9Xmsn7fiYj9zA+7+cUS806grXN7q7EpgDwVkGMJNe7+pmVk5Ll3GrNKXf8kYi/sZV5MezwB7YvvyZ/4/zEsLcqB947bWXzLn02Bp29fxfigJqIXEz3RuVGvarX1pOdmCNeZ7FE/7yT9rRVwE+cd+B6hvzxFLJir73ROZAJ+ApqWDLq5A5Wzk7PQ3dNXMk5qNHzmZDF6vM8uV1499QhcXN3V6G6zPh1aOhAhN3KZZ4C+s6Eds8Bm/Bfa0aqKMrhuDGWZqZycDTdPH6FNS47fbIuAJ/+AT3CU5NzURqCi7CjcN7N1VVOyQvGhVPh9fg9r2RoWnYO9g4PallL2/pxODIAHzhKembe/i8h7xsied2OC3PZlp+EGj0SmHZiinFE52aOLI+FfX0y8TB2wHLEjX5Sd13nLbkdoLZNQbaDPUrJbo5YSupDYC11wmQwXshx/7fUaOC7zYCVZ0gBoS1dKPeO4l9AyOg5C1GtM64qbeVqWFAwv0ykyxBg8F5onmctF6lFJWE+kjj/SALqw66t6dKk3sFACc8u/pnQZhrhpn1ptrvp8JTqtD2D9+OYP3YVgzX1WY1MAeSpQsCQOfesKmB/L0HhoHp8pKVnubeBie1/4xTNZw5KSo8abVSBz1QOIvKon/6f3mQLd+JWKUcvU0IALyb3RFZcI57TYNYgZPkkxPqiFqHkt6pLc0MaunriktpfAS9Xn0GmdH2vJjj6yF/79b1PLMsrOj4y9WxFlnEZ4ldp5wjvhsOx48kmoob4eV5J7oZPdNQKbOXAjIu9lEgn4tGerWMdyjeizm3lOrjfZwS6+yqaCMhlrHkLU5f3MM0CvZ6Gb9Iatbgne/bbFChqNRWzSIuDeTxA6cDjvOts64PH8DPjsHMySoW7BWdWU8awsPw639/qz/Ds+Zh98+rIToGx9H4jhvxoSZY8fTofPZ0NYcqmpYoMY+0AsG00rm21CxJAnxTLfYjsHVw3FgKv/KPY8pcWOqnygOaDttJydRCt0OxRuUlKGZj2iho5XudLUvcYKZK+4G/1r0pjvj1a0qkhd9wRiq38kc9M7DUH0zK+owK1UQOr4Iw2gt3LB6HC2AlJvYKHWI2vFPYioSRXk4epYcgT6NCqppfd7GbpnlgrlCsWVWAFutlmG9g1EPfCspKxy9n+F8N8ZDufRGV0TSyXlRI3fXIH8pToE3zhEBhlDFkAzmikdrAT9slbeh4hrRkLV0P1xaF/arATqquLY3G2zsrEH4BUQpio/y5OC4GmqID6lRi5D7MMvqcpHOTnD7e+V79gPwQsNcqIoCJcmZSu9JkA78XVBbNkqaO6BbxH2y1jivi32HjS+PR6ayi+JBildhyPu1U9sdUvw7rctVtBoLOKJ5BD0bjhJPkqPXYvo4RN519nWAY9k/ImgPSOJDDWmNnBWUYlzc4Lm2WR/9MA55rsqYjHiRr1i60svqv/mdWhI6gaHxi0pFJhEak5SvLTYGy6NKmalxaxGzIOTRdWTGru1AlcTeqC93XUyMH/4FwiOZVejuDWK8CPSXn8MMRd/Yc4iPJ6Gdso7whumFnhVoLlqLudfykfX7j15tdMYrEnP9T6vQDtusWD2KLD8FOAmCrXmWblpRZXu8Egskp+TMmckdfyRBtBlvkHkTk/qDSyUPseTQ+HTUEbg+SxDxD0Ey2oXh4g5zIOcUD5RXGkUqE70ZL345cngVkdzJfbU3qtWmtXnz2qTw00F9j/Vb5sLXclGIsoRxyAELWQSlfhTiyLdTIFzZ06i2zshrCGVU3Lg5tFbVcJxbxkY3MdA+8K7qvJRTs7ot86B7jijb2Z7HSJnM5nWcuLKJxfDuy9Ce/pjApntHIv+c3/l04TNY9lidQPuojf5+2qnReScn2x+b/AlQPoPWxCdMoPA2UIFjcbaHVp2O0JoWVu+ttO/4uT+9Q3CfhtH/l+NCcwZqx9C1BWmWkZKt4cQ98oOwbWlBhgFLl88j46vs1vJlD9jhKdfsOJkylx5PyKvMcmYRrdHoHl5q+L8UDPh6zVX0XYFO3Ap18oTTZIR6feTIrdmYeZfCPz6QcLd3KrNPr5S0MpUKW88hbjz3xObxm4joHnlI0XqR0m3XoHmfleLH/8ZfqGaFoE1V+mqYmIG3L38WzSfDvqfAlLHH2kAne5EqxSQegNbRf5fJpuzdq8n9YCz3Q0y4vDQz9FPcz8v5tK/34zoVKaE9yVTO7RfVAYHR0de8CmIfBSor6uD3WI3Vsn+1vzQCuXJ+bOn0HUD+yWa/oALpTY/uOcTvdEVFwlY7t3bEXYHc4uFHyvConAPDmtNDmiYWwrndh2ENUzRWQqUF+fD80P2w/7V106gfUcXVSll2DwD2rItxKectlEIn/eHqnyUkzOGDROhPbuLUOKr9Y2cfGyOS/oPWxGdwpSuNwdEusQfh529vdypK4afcdcaaPKYWx62Ut2g8QKl7H4dcblJ5COagMbv9jV+tgKaw8uZ9742Iei3gGmbw681+aFlrBmBqMv7CDG95zPQTX5TfkQVzujgzzsw4B+mEk65nTs8E44o3Cs2fcOORGiL1pEPi+194BefrSof5e7MmZPF6PE+u2x+9dQjcHFllzyWux9mfvoPF0BX/DahetTBD/6LMpVA3WY4Vp4+Abd3w1n+Vr2QB1d3L9lpoH//VehObiO80jsNRvTMr2XHkxK6uQJZv+9ExP7nyaAz6IYeicWCymbYNh/akg3ERk7bAQif96egNim4fBQ4krEPQXtGEELmdmJ188rR1rl9i0iaK6pcXuyNzo0qqqQr8EJUi5wVcJDU8UcaQBdwcW0BWuoNLITGladL4fYuu5Qtn8HFs+Ul6P5eBIs67c0qxEpKj9lcoPrs5Cx092RnhYvN1PwDXpfcHU6NeiAXjvwWgQMGiU2F2muBAub1MiW7Kr4Un7kvdYfX+7ASSvKH7UZw3L0tUIEO4UsBbj/hBnM/4YRzqgv4cW+tVqIL3BKP8yUjxeEokLb2EcRc+o18qu85FrrnmYMGtQrWXELKqfEp6OnTV60ui+4X99Aq0wZvX2f+8gkiD7xAtD8NN3gkHhV9LdRqUL/lNehK3yfuHWw/EANm/6BWd5v4ZXz7OWgqvyCf20oClNgLnLZnI2Iy5hKzx+x90Sc+S2wagtrLT/kFwT88RmyYnzGvzDiGTi7dBLVLwRkFmusdrtRKc4eNP6Hf3tGs/XR5+lF07uJKl1wmCihpv+m3L4LuGJMcRqtGyWQTtZJG6pdvIDY7nswqcvBHwKKMVqK0bjj3EpwaE+Bap4htjU79+m3EZi4gTltSqYrbJpi2s2z9HpI6/kgD6K1fMzqjkQJSb2AhFqMg7Xf0/W4UgTbfknRYdIbXG+Ink4LQq1FvVkPfOdCOmS+EOxRTQgVOHMlE70/uZDG4PvdUizPVhKRekdgH7qgiJjJvfxeR94wR0iTFtlCB6nNn4fJmAGv26Qnp8PBmf2YhvKjTipMj4NdQQmwaAmdA+3SCqBxs3Vi+8WcE732cyHDZ1A4dk06rTpbSwix4f8xOCqqckgs3D2/V+SoHh3KWD0b4debwwuD/KrT/SZYDNUE5mKsWVSd7owsuEzsZ2jcQ9cCzgtq1JXDDxinQVnxKXE51uR+x0z+3JQnQ9N3EEW0Szqou8UmqRbX1sq7cFjtZ7TSImPOzVMuhWrvGz1dBc2gp8e+wCisd1Fy7AvsV3qwk7Zwh2xE+SFlVs5S8CfNTf0Xw948SF66a2qJ90hlFuvS//dQbTnZ1hH/2XR+g/12Mf4p0TEWklfReafx8NTSHlhD189uEINiGqs2oZdvpP5wPXTGTpC1GIgT3BrK5bLxpwWm0cWqrFlmpHzdRQL/pJehOMe1oDra/DQNm722VZtxn7ULHQAQuTGsVhq0Pljr+SAPotr4DrfRf6g1sJf1mp3Ozy8rsPOCVUMCrqdR1TyC2mukNmtHxTkS9todXGxRMegW4WfhyeoEtXBKDwLpCIlJKWALiHmP6P0qvHmXw/xUoK8qF146BLEGuzSpDuw6dFCdSyptjEXfuW8KbfveJv4TZf36B/n8+RwyLUfZMfC8BcwuN2sU90c6ulpjPGbIN4YOYBDkpeKnVZtHiKATUMzdiUyKWIG7UVLW6y/Ire8UQ9K9JJ5/pPcdBN/ktm/BdDCe5z8wG9yehfWGTGKZlY6O8pACe2+JYfKpfPQqXrm6y4ahkIhlrHkLUZaZvs77Xs9BNekPJLrWKe8oX6xCXk0jm0EO9VsnX4sGG7YugtYHbj0eWxCKojilNr/eZAt34lS3WiQ60TgHuc/5ZdEX3RCZ52Tp08WfnL9Uh+MYh5hnL6znoJjJtAsRnRC02ViDz108R+fcU8tEpdEfPxCJZipT27SbEpM8m3Erse8M3PkeWXCmpf1fA8M4kaM8wibSpXYYidtpOQSWrrqqAy1tBLBsnx/2DXn1CBbVLweWhQOaqBxB5lWntZMm7fu6BbxH2y1jikDkJo3ZWieraKAq5YlLHH2kAXcjVtQFsqTewEBJzey3lto1E2DymLxwfNlO+WI+4HObWpbm0rGt8Mb1Jwoe4MsLgvlCcRnd4yOSFoslDAD3ckNHOYVPh3jyrMbWBc1KlbPnejFjKV28iLmsRGVIBV7gnHlOkL0olzS1tfsK+F3rHMwdTSvWrOd7cQ1xDwHRoxzJBAjX5KrUvTaqa3LEJkXc/KTUtUexzeyrSvnj8yp658n5EXjMQUL3vC9A9u4JfIzJHq7l6Gc6rerFYnnhqH3oHsfvcytwN2dLLW3Y7QmuZQ3RD0Cxon1ooW758E+O+r9BnM74V/h+efvN06Mo+IOBqTSLlBjey2sUhYs4vwohKUZsokP7DFkSnMEnxSn/O5978y3Pqj9D5f9GVl4kC3NLGYpTTttR1bu9s+ltnqZLSzktf+zCiL/3BvBf0HAfd88ImLpsrjl1K7oXOuErs0sR8afeBmNbLkvrCy8RUbEwdsByxI19sFYWrl6vhtNoXjnYNZF7uvTsQNvChVuHY8mCp4480gG7Lu48H36XewDy40ATC+NY4aKq+IZ+ndH0Qca9+zKup5krLlo09AK8Adu91Xo1SMNEVSPnqLcRlMQdwcnqh4N4ENro+DM3UD0XXiBq8tQJZv3+OiP2TyEAl3xg+np8Bn52DWU5XTMyAu5f/rYWgI3hRgJvEUOgQgMBFzO1ZXozIBCTljacQd/57wsYWSz+LsRTmQ4XrST3gbHeDmMt/8EsEx9wthnnJbWT89BGi9C8THhfRAZ3iy2hSJE8rk79Ei+C6wwTNGLIQmtGzeEJXDsylBA90srtGCB+6fydCdEOV44CMmZYkh8G3oZQwTItehZiHnpcxY36pHcn4E0F7mBLbtSbaIoBfhf+Hxg0sq7XXPLea3wV0hEt8Kf1NFGJTNYOZsvt1xOUmkf854hiEoIWpIlnn3ww3weeayQmOC8po6WT+pbYI0fBxMrSFa8lcIS4fWUSsmUmHjT+h397R5H8umdqhkwrbmPGll1xx8pbdgdDabELPEDgT2qeZnuhC8eZWW7PV9xGh9JUrrjmJ2WmlF+ztTIRi4cPfITDyjlZTLlwcjcB6pkKHLSaFt1q0RhOkjj/SALo1q0fnQuoNLMQSZK+4G/1rmF4UQnypmQ+bq5L94IYLxIWUiMWIG/WKEC5RTIkUMOxIhLaIKTEmp1tp+i0zoSvdTJQ52OF2DJjFBJokkoyabUaBtD0bEZMxl/zPMXtf9InPUqRWDfX1uLzYG51xhfDP0KxH1NDxivRHiaQNny6DtoAppanmmxyGT5dCW7CKLNNRhz7wX3RQicsma87mjOr2a3qzONpSWbvTpUXw2BLN8p8mRfK3ZUuT+sHbVE4A0+PWI3qY7f1mnEgOQe+Gk8x7A229w9smO5fojW64SPBs7VbR6ROF8PgghqVn9StFcOnWnTeNKRCQsn4M4i78QKQw9BgN7Yvvq06aU8cL0HMru+UErZgh3jI3PX+IQvg85rameEz4sXSh8jS6vN2XBXZkxDcIirqLHwMUxSoFlFRZ41iuEX1230f8bTDZAfFVsHdwsEoDOllcBY4nh8GncdJjzGrEPDhZcBLcdj8Gj6ehnfKO4HapAWkVOJpjgP8X97NIXH3thEWl1w0bJkJ7dhfBynKORcTcX6V1UEHWpY4/0gC6gjaLHKlKvYGF0IR7QJUWtRIxI5i+PnzZ5P4AqzULnS+9lIijf+8V6MqZW93pnQYjeubXsnDF+PkqaA4tJVwKHIPRd6FRFtwoCbYChk+WQHtkNfkwzykCofOZXp1K04ubpGRwHwPtC+8qzQ3F8jVsmw9tyQbCP7O9DpGzf1SsPzcjnvfPDwj9eQwZYr5VZ7egnN5a4Xm1m+vPfHHaMXTu4sqzJXnCNZcUmRa7BjHDmcoh8mSuDFbnE73QFZcI2dx7PkLY7SOUQZ5HltySlfS9gR9x6+vqYLfYjXWz5Ogje+Hf/zZ+DCgApebaFTiv9GQxPf7kH/AJjlIAe+VQzFgzAlGXmbZw+l7joZu0XjkOtJCp+TexMrkPuuM8mZESsQRxo6a2EIEOs0YBw+YZ0JZtIRAZHQYhata31kBKPpcbMDMEzoD2aaYdouQEbZiA8e3x0FR+SRQwuo6EZup2WSrSXHLPpenF6OTSTZZ8KanmFahO9IRLo8sYYr0X6DdNhe4Us7czOtyBqFnf0WVSuQJp372HmDSm8tkpdEdPC9uyclusmKvWdVxUSpN4WriHpI4/0gB6CxeKDmteAak3MN/rYr4deSPZHW0blyEdugvBGiZTkS+b3JtxZXYe8EooBi9bTwAAIABJREFU4Aue4shAAeOb/4Hm3B7mhcLtEWhe3ioDZsDBn3dgwD8vES7ldj3gmVAoC26UBFuBJgchHQch6jXlHoTot7wGXSlz4+ZwmxD0W6Cnyy6SAvr3pkJXzrz8pXW6GzEzmYMPkWiIYqa6qgIubwWxbJU88Rt8+7Fv2olCRsVGCg/uR+A3TP+uWpMD2iRU2lS51qyV9yHiGpOERhOD+Nnw5udyU7IrHBqVzTv66E/wD9fyY0BBKNxkuhJ7b/jG5yrIA3lSPXfmJLq9E8Iid3ZyFrp7+sqTsECsLib2ZPX2zLv3E4QOHC6QNduEzV5xD/rXMKW09X1egW7cYlWKkbH6QURdYfpUyzmoprYF4N5wU0OyFbf1HA1cyWfXpq8dhehLvxNCes9noJv8pnwINmJSfe4sXN4MYHE7PSEdHt7sz2RJnpL6rwK112vgtNxdknd746610OQlE9u0sp1tbEpulQ1rbo1XlB2F+2Z2cio9m2r5PpI6/kgD6C1fKzqyGQWk3sB8L0pl+XG4vddflEOUoqwDCPhqGMtW5eRsuHn68O0WxZNIgYzVDyHqCnNT2OA1AdqJr0vEhm02P+03BH/3CPnwuqkNnBLO2FTAQxYL0QISTTK7u42A5pWPWjBTnkOy//wC/f98jpCrMbWB48JyOLZxkidhlbEyvv0cNJVfEK+MCt9Pt1qeisQ+cEcVGZYmUpm3W/FS0/9n/7Eb/fdNIC6dRVd0TyxRk4u39IWbGJTnFI7Q+X/fch4dcHMFmkuCqZiYAXcvf5uTriDtd/T9bhTL7+pXj8Klq5vNacGnw8cPp8PnsyEsyNp5FXBq68ynGdljHU8OhU9DGeGZEp6IuEeny563kggeXnob+t3IY56/+s2H5ok5SnKhxVwNOxKgLWJu1yu5/VSLnZbJwNT1TyL2wl7CxuD+JLQvbJIJO8topH79NmIzF5DJVXBBt/gSem5hmZy8zspeMQT9a9KZ/RYwDdqxSbza4AvMXHHGYQm7OhYNXvGlrjg4zQUgL7xcgC5uHoITyP3rG4T9No7YuWxqhw4J5fR7SHDlpTXATQi0Nkn+dGIAPHCWeRYMjYfm8ZnSOqkQ61LHH2kAXSEbRa40pd7AfOuSn/orgr9/lMCay706xp8RpKSG+QHu6mIvdLK7Ruylx72O6GHMITTf/lE8cRXIW3YHQmuzmReKoFnQPrVQXBL/Yq25krv0IFYWS9OEBLdsq5wzu1ui4Pmzp9B1QzBraPHoX+EXEtuS6XSMlQqkrnsCsdVMyXZrXwKspCP49KyV9yLiWgqxo/ccB93ktwS3a0sGUr95B7EH5xGXi+194RefZUsSIPO3nYj863ni8xWTM9rFlwvy/GhLwpYW5cB7x+0sl2tmn4Rz+462JMN/fb1ecxV2y73hZFdHfM8ZvBXhdzLJkDYnCg8Oc1t9XER7dE48xQOysiDS14xE9OU/CemUrsMR9+onynJC5myPLo6Ef30xYZk6YDliR74oc9aW0Tts/An99o4mk+tNdrg2sxgdO3e1DJDOarECB1cPx4ArTAKf3nsSdBPWtHi+HAeePJaHXtvZbTXKxh6AV0CYHOnaFKfCxdEIrC9ifjvCkxD36DTZanA1oQfa210n/PKH7UZw3L2y5UuJsRXgVj27YXKAQ/xZUd63yovz4fmhhkXo/Ev56Nq9J10mFSvAbSGS2j8ZsY+8arHH3KodqS4PIHb6Zxbj2dJEqeOPNIBuS7tNAF+l3sB8u8Ttb1Fq5wnvhMN8myF43FJuRrdHoXn5A8HsUWBxFShOjoBfA3MLLy1qBWJGvCAuiX+x1my/wzH74NM3Uhb8KAlGgZzldyH8+kHygSFgOrRjExUtETfzMjVyGWIfZloKKNo5mZPnVsZQw8HazSTnlqzPaheHiDm/yHyVlEXP8HEytIVrCenctpEIm8f0eVWWN5axba6CEe0hbJmWjWdxq+VcMzmhXRKTtW+9BWUh5C/RIriOeS/R934euudWKcsJmbHN2LsVUUbmsL/Mrie8EvJlxlJ4OoZPFkN7hAmy0RYB/Gt+MikIvUwVBPjgbRsw4L6x/BuSAWLN1ctwWNkbbezqmWeDu7cj7I6RMmCnbgq5y+9E2PVM5r0xcCa0T8cr2mlTQwOqkv3ghgvEj5SIJYgbNVXRfqmB/JlEP/TAOeJK5h2bEHn3k7J1jcs3687NiBj8uGz5UmJsBbJ+34mI/UzC8hl0Q49EJjFNSL3qbtTCtMSD9btW8OBX6BvDrmIkJAeKLa4C5pYBdss8WWueP/wLBMfeYzER487l0OSvIPNt9b3DEgGljj/SALolq0bnMH/sZWXw9vb+779LS0vh5eWlaHUM2+ZDW7KB+JDTNgrh8/4QzCeuvaMOfvBfxLzwCGaYAouigNwf0C8meqIzrjAHG/fuQNhApo+tKCJRI7dUoGhxFALqj6rqwODgqmEYcPUA8cnQYzS0LzJ90W8pCh1gsQJNS+0pPyHjZmJwE+Mq4Ar3xGMW60cnNlVA//6r0J3cRv4jveNdiH7tG5uTivubTxODrN8C3IMyW//7NWx8HtqKnUTYbOdY9J/7q/VC2zCC8bOV0BxeRhTIbxOC4AV6m1OEtggQfsnPJXqjGy4y710qDygfWRKLoLojxF+97wvQPcscGguvuG1aKFwSg8C6QuK8tbfl5KIiNwGYVsmQfmUa6utRn9ydFVwqfPg7BEbeIT25f2HAvU2aHrsW0cMnypYvJcZWIPXLNxCbzSQEFTn4I2BRhmgylSX1hZfpNLFHW8OJJr0khppr82Rt1dbmWvlWvZAHV3dlx9LEWCAaQBdDZWpDMAWk3sB8O5by5ljEnfuWwKZ0ewhxr+zg2wzBO2T4ESE/PkH+3WCyw6VpRbSfoWCKiwdszpSuTeqBtnY3iNEjI75BUNRd4pG4hSXuCwR9AJTN0rCIcG9rZ97+LiLvGSNPsi1kpd86B7rj7zLfhW3CELKACai3EIYOs0AB7g1Go8r7LpUcToPvZ3ezlKqeegQuru4WqEenNKcA99nJ6PYINC9vtTmxuGVTbVUHPhc+9esNiM2cTyBtPdE0/YetiE5hbktXowM6LSoVpXQln+sqJyz9B7OgO/EeoXSw/W0YMJvpHywnrkJyMd+yMS3zYr23ZN/1AfrfxbQ2E9K+LWDXJLjBWcbvhXyvgWHDRGjP7iKwWe00iJjzM99mKB5HgdKkfvA2lZNPMzTrETV0vOJ14lbJOG7vBZ/4PMX7pWQHzlWUodvGUJYLZyZlokcvP9m6VbAkDn3rCgg/tb8Hy3YhLCSm/3A+dMXMhbcs51hEiJhIyr2IoPeZAt34lRZ6Q6fJXQFulSo+Kh6YKxnULvFitZJQc0UiPtdY6vgjvYHO52raIJbUG5hvyXOWD0b4dSaDTe/3EnTPMLcS+LZnLqNtv6I3q59h1qD3ETGE6RnGt02KJ44CVy9Xo/2a3ixjJ8f9g1592C8Z4rBp3kreskEIrWX61BoCZ0D7dIKUlKjtZhRQY68u7q1C2i9YvK3fpLVE9CrEPMSUQhOPiTiWbtReh2mpJ+t3Nu/eTxA6cLg4BGzAihr7bVqybPoPF0BX/DaZesQxCEELUy2BonP+TwHaHoC9FU6XFsFjSzTrwxNP7UPvINp+x9I/GuPb46Gp/JJMT+n6IOJe/dhSOEXPy1+qQ/CNQ8QHtbd4EXOxzAemjku7s0yqvc0HtwLQeXRCl/gTsLO3F1N6m7NVldgbrqgmfucM2YbwQaMUr8ORjH0I2jOC5Qe9tSftsh7LNaLP7vsICfNloIaFZ+DYxklaYjex3rQS2zRoxybJli8lxlaAm5iV2mUoYqcxlZmE1sv41jPQVH3NPDN2GYa4aZ8KbZbiS6QA99IPX23qmrRa8Xga2invSOSlcsxKHX+kAXTl7BVZMpV6A/MtCjdjV4wbuYeX3oZ+N5jsWb3nOOgmv8W3axRPZAVOnyiExwcxLKvWlnvh24W0tY8g5tJvBNbQ4wloX2Ru4fBtj+K1XoHrNVfRdkVP1kQ1HJY31y+49On98A6MaL1IdEarFChPCoSn6QyZo4aKBrcS4OjiAfCvZ8q2G/rOhnbMgltNo//fQgUOLR2IkBu5ZLQxeC40T85r4Wz1DMv9ew/Cfv0PcajW5ADTvDK0dW6vHidF9kT//jToTjLVDDI63omo1/aIzEI+5szVjc4m+7P6jdI+sNatT/qakYi+/CcB0Xs+A93kN60DVehsw8Yp0FYwB8FCtzJTqEwW0a4+dxYubwaw5lZMzIC7l79FeEqYVF5SAM9tcSyqpWP/hndAuBLoK5ajWisdNHtrT/cmBtz/jGLXSunEs//8Av3/fI64UQUXuCaekLVbGWseQtTl/cxvvtdz0E1cJ2vOlByjQPrahxF9iWmxqu85DrrnxTs7N+xIgLZoPSF0yCkcIfP/pkukUgXS145C9KXfmTOO7o9B89IWq701bJ4BbRmDY6vto1orpNTxRxpAb+2K0fEsBaTewHwuh7mHT11yD9YttfzhXyA49h4+zTTB0r/3CnTlH5LPD7cJQT8b7L0nqMgSgHN7m9SZ7OGQUCWrrHv95unQlX1A1Cmx94ZvPBMEkUA2apKjwNnyEnR/jx1UPv9SPrp2ZwfVlShcZaIP3HCBUE+LXYOY4ZOU6IqiOJ9P9EJXXCKcbeE2duq6JxBb/SPxmfZN5HfLHk8OhU9Dmc3/LV+8UIWO6/xhb2ciWsitdQu/Ky88Gvemh9H1YWimMs/MwjOQnwVuH1ij60hopm6XH1GFMMpbdgdCa7MJW0PgTGifZvprKsQNXmhm/LgNUYZXCdYlUzt0iD9JWwTwoK4SEqt5cJMFYU74qUr2Yz3rp0YuQ+zDL/FtiuL9nwLmVgxOy9ktio6P2QefvuqoUsKtFkmT/6Xd+ilfvYW4rIWExFF7P/jHZ0pL6hbWU954CnHnv2d+87s/Du1Lm2XNmZJjFGjyzBb0GrRPLRJNooM/fYgB+leIvQq4wj2RSdIXjQg1JIoCx5Ij0KehhNgyhiyEZvQsq21zk49qTY5omHsCzu06WI2tZgCp4480gK7m3SWCb1JvYD5dPHOyGD3eZ79cVE7OhpunD59mmmBl/bELEfsmks/NN5Ya5pyAc/uOgtql4MIqkLP/G4T/Po4YOYfO6JZYKqzRVqLnp/6K4O/ZvQ3V9JLdSjlkObw4zwi/XezSaKZFlXBwdJQl39aQylp5LyKupTAvsLR0UWvks3js9QQ3Vo/TwpHfInDAIIvxlDDR8HEStIWvE6q0tDa/q3Y+0RtdcZGA5t69HWF3jOTXiELQjieHwaeB+a039J0D7Rimh7dC3JANzYw1IxB1eR/ho+81HrpJzM0P2RAVkQj39out94W3VvqS5HD4NjA35tKiViJmxBRrYRU5v7mkzeLRv8IvJFaR/siJNPd53sytbsFZWZc65kM/bosXmgTFh6r/jnHuzEl0eyeENUCM8yxhvWLQueV0ixz8EbCIab8oFg9q538KcFsXZTvHoP9cprqhHHXiVlpJdXkAsdM/kyNVyqkZBZokbcesRsyDk0XT6miOAf5f3E/smdsW1M49SQOfoq2AeIbq6+pQt9iDdW526P6dCNENtZpEc0n3+cN2IzjuXqux1QwgdfyRBtDVvLtE8E3qDcyni/nGnxG893ECed3UBm3iKwTPujd/eXZY5w+HRjeWMgduROS9T/HpHsUSWYH07zcjOnUmsXrc3gs+8UypfpHpNGvOXHWharE/uuM8+X+930vQPbNMDvQoBwB5//yA0J/HEC2q0QEuieWq0IZbAYGvnkKqEEcgJ8z9wNss68FCV0NLgFvJxU1oumZygtOiU6pIRLmV70L/v/nl0m6xG+vW9dFHf4J/uFZo07LET13/JGIv7CXc0jrfi5gZu2XJVQmkmvSIs+Hbwf9/vbjvK/UmO1ybWYyOnbsqYUllx7FJv+DBWxF+5yOy4ykWodOJAfDAWWIuJSwBcY/NEMu8au1k/7Eb/fdNIP4podQxH4th2L4I2mNMSwSa8MOHqv+OcfJYHnptv4014NqsMrTr0ElYwyKhc9+Lzb9/V2ccQyeXbiIxoGYaKyB1P2pLVkP/wSzoTjAtCzPb6xA5m6lSZgkmnSOeAtWJnnDBFWIw956PEHb7CNEIXL54Hh1f92XZoxeQRJNfVENlRbnw2jGQZfPci4fQrUcvXngUJ0fAr9HtdoP/q9D+J5kXbLWCSB1/pAF0te4skfySegPz6WbanncRkzGHQJ6w74Xe8Yf4NPGvWPlLdQi+wdg62H4gBsz+QRTb1IgwChg/WwnNYSYQLdfS/NzyqPRmpjD7wVJUbpmoMrue8ErItxROVvMO/rwDA/5hyjiakwM6x5fJqs2BrATjgUx1VQVc3gpiIZ2dnIXunuwXQR5MyQqiqqIMrhtDWZxKn94P70B2ewRZkVYImfNnT6HrhmAW2zOTMtGjl59CPOCXpvHzVdAcWkpAS+084Z1wmF8jNoR2dHEk/OuLice0/C9Qc/UyHFb2Rhu7eqJL7r07EDbwIRvaGfy4ak4kNSW7spKYi0b9gIAI9oEZP9aUgcLtL5rSZRjipjF90ZXhhfxYpnyxDnE5iYSYrdycPWT4ESE/PkH8Ngc8a14rQYdOXeS3SCpgVJT1NwK+Gk48kWMLOWtkNv/+2a/0YbVczL5zC/oPfswaWDrXQgWaVAnyfAa6yUzCjIWwgk5L2f064nKTiI3z6IzOC4tpUrWgqvMDfr3mKtquYLcxPP7E7/DpF82PgRainEv0RrdGldeyBm1CxJAnWzibDlOKApm/fILIAy+wviu68lhRlnsOf7D9bRgwm0nCV4pOYvKUOv5IA+hirrYKbUm9gfmUVL9tLnQlGwmkmCWIjLvWQpPHZBvdMDng4ovZcHX34tNFiiWiAtwSY3L9QeTezDRLdPq5NHj0DhRRLWrq3xTgvuQVOPZF34VM2XMlK9dcP8jyZ1Pg6dtXyW7Jmntzml+aXmwTNzcqE31YfTgzNOsRNXS8rNdLCeSOF2TC59M7WVSvzz2Fts7tlUCfd46FmX8h8OsHWbjVrxTBpVt33m3ZAmBFYh+4o4q4Sg+p/idF4ZIYBNYVEl0Mvi9B+yytHtTav4nmEoAqJmbA3cu/tVCqGW/4ZAm0R1YTf+RYQUuJYuu3vAZd6fuEulzfC/nWlib88K3ozfFyD3yLsF/GkkEX0BFdEk+KS0Jga4eX3oZ+N5iqfnoFBG0FlkQyeO5aGPrOhnbMAsn4tMRweXE+PD/UsIbmD/8CwbH3tGQ6HSOhAqdLi+CxhR0sv/ByAbq4eYjKqmBJHPrWFTDP4LRdl6j6i2WM26LikFM4Qub/zZv51G/eQezBeQTvPDqh3ZwC2g7gJgpLHX+kAXTetr9tAkm9gflUPeWNpxB3/nsCaXQdCc3U7Xya+Fcscxn3NuuC0c6ulvkhDpwB7dMJotinRvhXwPDOJGjPfE6A5XqDw1zS+eoyP1YpJCW8/PC/YvJE5D64ZbWLQ8ScX+RJtpWsTA0NuJDcG11xicw8qHsTA+5/ppVIdHhLFSg5nAbfz+5mDW9YdE7wViUt5SfkuJzlgxF+nemTaPCaAO1Epi+6kLbVjM29XXbZ1A4dk06r2eWb+lZ7vQamZV6sfmk5Q7YhfNAom9XEGsevJXRnPRvnP/glgmPY32HW4Ct1rnHDBGjOMq0BaAlSy1byeH4GfHYOZk225QQgsxBHMv5E0J6RLE2qpx6Bi6u7ZSLTWf9VoMk5g9sj0Ly81SbUoQk/4i0zt7pXuZ07PBOOiEdABEv691+F7uQ2YkmuVf5EkEJyE2VJwfAynSI80uPWI3qY/JOTS5LD4dtwgvDW93oWuklvSK4nJXBzBQoP7kfgN0y1JfOlM4f4s6KfY6S9/ihiLv5KyBp6jIb2RSZBjq6jOhRIXTcasdU/EWf4jg+dPHYYvbazW97R86mb7x2p4480gK6Ov23JvJB6A/PpOLfPot7vZeieYcpw8mmrOay01x9DzEUmMFZi3xs+C7NoOWOhhRcIn7ueBo+noZ3yjkDWrIPlPhzkOfVH6Py/rAOls3lRwPDui9Ce/phgpbrch9jpu3jBlgMIN6ip7zUeuknr5UBNlRzyU39F8PePEt+umtqifdIZVfrKdcqwcQq0FUwZWlu5/SX04mb89BGi9C8TMyft3NFLZYe1rdWwYIkGfeuYVht6nynQjV/ZWhibH2++uei8it1nrnTs3/AOCLd5bdK+3YSY9NlEh3PojK7xx+k7Qyt3xiH9XoT8xJTdvGRqh042nABkls+cBNSwzAvOdjeImll3bkbE4MdbqS4d3liB7BV3o39NGvlI7/cSdM/YRtUI49vPQVP5BfE9s50WkXOYQ2m6U/hTIPXrDYjNnE8A1dhzPvuP3ei/bwLxsdbkgIY5J+DcviN/QlKkFilwNaEH2ttdJ2MPD/0c/TT3t2iulIP0m16C7tQOQuGYvS/6xGdJSYnaboECWb/vRMT+58nIM+iGHolMm6cWQPAyRL95OnRlHzC/ae11iJz9Iy/YFEQ+CjRJ/hOgwga3la85KaRs9F74hbKrZMhHFWmZSB1/pAF0addf8dal3sB8CliW1BdeJubWVHrsWkQPn8iniZti5f69B2G//oc15siIPQiKYpdGFY0QNWSVAlkr7kFETSrBEDshozXkudnq5v501S/loVsP9sF1azDpWH4USFk/BnEXfiBgastw1W+aCt0pptJHlnMsIuYyGb38qEhR/r8CGXu3Iso4jQiixpsp/7ba3EPFcrse8ExgSiDTXWKZAtw2E0ccgxC0kPntswxV2bMMGyZCe5ZJdKK3gy1bz4qyo3DfHMWaTG/C/k+O5m4tnBz3D3r1CbVMbBudlfHjNkQZXiXel9l5wCuBKctpo7KgSVleWrHF6q3AvfGYOmA5Yke+aDWuEgC4CT/mnsNdaMKPIEtn+HQZtAVMwh7fJWcFId1K0EvV59D+9T5wsDORmXn3fYrQ24a1EokOt0aBKxfPo8PrviyIsv/8Ay9/+T+HcKtnmZ2gLQyt2Q3izE35Yj3icpgKrUUO/ghYxFSXE4cFkPLVW4jLWkjMmS+++cbniGWe2hFBgYb6etQk92QlCOUM2Y7wQewKTdZSOZpjQO/dw9DGrp5Amc9S/Ofq4eDoaC286uZLHX+kAXTVbSlxHZJ6A/PlbX1dHeoX94BToy+ugge/Qt+YIXyZuCWO+Uv69JJgeJqY24BG14ehmfrhLefSAfJT4MiSWATVMSXTUsISEPfYDPkRBWC+5dWwsg/rASElPAlxjzKBNlkStwFSB1cNxYCr/xBP1XaTMf2HLYhOYf4uquCCbvEl9BadQHvb8HEStIVM2XJbqjZxNPsf+H85lKXsxWnH0LmLq0Bq2wasYdt8aEs2EGfV1GbC0hXkBgsq0QWu8cX0e62Vgh7LNaLP7vvILHNyn118leilGltJW5Th5hYo55J94YpqYi8taiViRkwRxb5ajBg/XwXNIabaWIFjMPouNKrFPYv94FY/ymk7AOHz/rQYj04ELib2RGdcJVLk3rsDYQOZUrRq1qi5nsNlYw/AKyBMzW5L4pt+21zoSjYS22pN4CtcHI3A+iLVvh9LsnlaabS0MBveH9/BmnX1tRNo39GllUjiD6+7UYsrS31ZLQyNIQuhGT1LfDLUYosVaPLOKdHFC271omsmJzgnVND3vBavpPwHnjpegJ5b41hEz07OQndPdtIQH55w25KYMQ1Bs6B9iknS4MOOGjCkjj/SALoadpGEPki9gflyvblbLpVTcuHm4c2XiRbh6D+YBd2J98jYi+gAp9lHaEmqFqknr0Enk4LQy1RBSMm9t3PG6ocQdWU/4ZvVToOIOT/LS1QbZHN4qQ79bhwinhv7zYfmiTmqUaKsKBdeOwaK8nCqGtGscIR7MzbV5X7ETv/cCkTlTL1ecxX2y71YGb6HHvgMIdoHlOOEDJkaNj4PbcVOwizV5QHETv9MhkzFo9Tc9xq92dJ6/XMPfIuwX8aSiefRCV0Ty1oPpNIZ3AQ7o9uj0LzMlJRUqdu8uqX/YDZ0JzYxz+rtb8OA2Xt5taFEMG5rjsumdmi3qIzehrFwMS9fPI+OnJuattSOwpzwU5XsBzdcIAqmRCxB3KipFipKp/2bAtzkl7TO9yBmBlM+Xy3KcZ89aZKP+CvLDSKafyc6KqgFCrePNT37En8PtdYi9xwjpcswxE1j2rO1Fs/S8WdOFqPH+5Gs6ZWTs+Hm6WMpJJ0nMwW4rULMLZ46JpQLkiRRc+0Kzq6KgbepnKhgbrN4Yfxf8PTtKzNlpKUjdfyRBtClXX/FW5d6A/MlILeMT42pDdomnBHkC/JmnMtLCuC5jZ3plBazGjEPTubLVYojkgLcmwZyLy3GvTFXa3LE9RmF6OTSTSTFqJnmFDieHAqfBiZgIHZrCaFXxVx540pyL3Syu0ZMZd6xCZF3Mz1JheZgS/gHVw3DgKsHiMt6r+egm7jOZiQ4lhyBPg0lxF9DwDRoxybZjP9COJq67nHEVjPJVgb3MdC+8K4QphSDaQ4WXEz2Yt1sydCsR9TQ8YrxQQ5EuS0nSu084Z1wWA7UZMFB/+EC6IrfJlwKHQIQuChdFtyUQoLbmzml63DEvfqJUugLxrPy9Am4vRvOwi9+/Gfak9FCxY/nZ8Bn52DW7GuzytCuQycLEZU3jZuondplKGKnMcl3yvNInoyNb/4HmnN7CDmj2yPQvLxVnmStYMVN8jEHG9osKEUbp7ZWoNKprVEg/fvNiE6dSaacsPNEbwU9o6V99x5i0pgb5+bzX9PsYpv6Xm7NesthbPrahxF96Q9CRe85DrrJb4lOzXx+dSPZHW3tbhDbNClf9GUQ1KDhkyXQHllNbBQ49kXfhSmC2eQmJJkNZTvHIHz2L6LHpARzkgdgqeOPNIDOwyJFtd65AAAgAElEQVTaMoTUG5gv7VO/eQexB+cRuOP2XvCJz+MLvlU4ucvvRNj1TDInp20UwucxDwqtAqODJVHAXBbKcWl3lu3i0b/CLyRWEj4tMXrxQhWc1wWy2hikxa5BzPBJLZlOxwikwLlEb3TDReb7QIDeOwJRbzFs3rLbEVrL9I3S934euudWtXg+HdhyBYoWRyGg/iiZIOfWEi33quUjjW+Ng6bqGzLhYIfbMWDW9y0HoCObKJC94h70r2F6nuv9XobuGaYksq1Klr3ibvSvSSPuGzyehnbKO7Yqh0V+G3etgSZvMZmb79gPwQsNFmGpcVLege8R+stTxLUbJgfUzT5OD39bsdhyOYxtBWXRhpYnBbLbioXGQ/M4EywRjYgKDOXs/wrhvz9LPLmAjuiSeFIFnrXcBePO5dDkryATyu16wDOhsOUAdGSLFEhfOwrRl34nY/Wez0A3+c0WzVXSoHNnTqLbOyEsykdGfIOgqLuU5IaiuRo+WQztkTXEhzyncITO/1sxPlVXVaDDm8FwtGsgnGkSv7yXj3tmZAh6DdqnFklC+nhyGHwaSontw21C4TfjFzi36yAJH2qUXwUMG6dAW8FUN0jrdDdiZn7JrxEOGvecyvzfaVErEDPiBUHtKglc6vgjDaArabfIkKvUG5gvSfRb50B3nLkxlSVRP5X/fknueRcxGUyJ5gaTHc5MSIVH70C+3KU4AitQVVEG142hLCtKKOvDDYRkdLwTUa8xWewCy0bhOQqYbzHWJ7myXuyKRv2AgAh2yXOlC8ctw3eQllAVbEnPJ3qja+OEjMFbEX7nI4LZkxtw6tcbEJs5n9CivamtX6HCJTEIrGMOwVPCkxD36DTrgRWOYNg8A9qyLcSLQ07hCFHQwaIc5Of2Osxsp0XknJ/kQE0WHK5cugDnNb5wsDMxB3hDP0c/zf2y4KcEEnnLBiG0NotQNQTOgPbpBCVQF5xj2tpHEHPpN2KHtuewXPKUr95EXBZzyH/M3hd94pl9ZzmycmYWH0qF3+f3sAiXP5tCy5PyvIRZK+5BhI0kNZYkh8G3UQCLVpXieTPdAk6/aSp0p7aTUemdBiN65tfikrDS2qFltyOkURK/0XUkNFMZn6yEp9N5VoBbmVHKyz7cCkZmV81B1qhpu2Dv4MCz5xRObAUy1oxA1OV9xKy+51jont8gKA3zhbaa9THogXPEjrl9melFI7r16CWobaWASx1/pAF0pewUmfKUegPzJUvK+jGIu/ADgTO6PgzN1A/5gm8VzrUrl1C3KpBV0ljvMwW68StbhUMHS6dAc6X6audVwKmts3SkWmA5ZffriMtlyhmby6HZzy2mmZQt0E6IIdXnK+Hyhj8LWo19dNP2bERMxlzi52m4wSORuSUthLa2iHn1cjXar+nNcv34mH3w6cvu4aVmbZrrTX1ynAG9+vRTs9uC+sa9pXjwtg0YcB/Tt1pQ4zIGz/xtJyL/ep4wNP+eOi0sg2MbJxmzlhc1bvY/DeA1XZ+jiwfAv/4Y+Q+D/6vQ/idZXgspYzbFyf3h13CcMKQ3PZjFMny6DNoC5t2TtlCwfCM3SdRvF4eIOb9YDqjAmeaSt9WLfVlJnKmRSxH78MsK9Ea+lPOX6hB84xAhaAxZAM3o2fIlbAUz41vPQFPFBGwz2+sQOftHKxDp1NYokLpuNGKrmaRGQ48noH3xvdZASD7W8FE8tEffIDzOoBu6xx+lJZMlX5nmCVQnerLaY+XeuwNhAx+ShO3Z8hKY3hvMCnaaieh7jYdu0npJOFGj/ClQsESDvnX5zG9p8FxonmQqFvNniY108OcdGPDPS6wP0zrfg5gZXwhlUlG4UscfaQBdUdtFfmSl3sB8KcItm67v8wp045iykXzZaSkOt3/VSTt39Fx4mGaztVRAiccdNv6EfntHExZXTM7okFQhMatbm688XYpuG8Nh3+g2U+bt7yLynjG3nkxH8K7AyWN56LX9Nhbu1ddOoH1HF95tSQl4/HA6fD4bwqJw7sVDNNOS50U5XpAJn0/vVP1+upls5qoO55N9WG0RaMDEuo12NaEH2ttdJyD5Q3chWHOfdaAqmN1cJRraQ7h1C5u67gnEVjOH4Qb3J6F9YVPrQFQ+mhtAyOhwB6Jmfadyr/lzrzLRB264QACz7/oA/e96lD8DCkYqPLgfgd+wD6YvvFyALm4eCvZKGupN+lLb6C1H2gdd+P3XJCkoehViHmKS+YRnIJ6FtG83ISadSQ6oRgd0WlRKz8tEWoKc5YMRfj2DWJP6/NQSt5u79HL0kb3w788+f7EEm87hV4HrNVfRdkVPFujxJ36HT79ofg21Au1ojgEeu0eig10NaxatxtYKEWU69EyiHys5QswLAtzb72aJDj3wGUK0D8hULfFoSR1/pAF08dZalZak3sB8iVqa1A/epnIClxazGjEPTuYLvtU4BWm/o+93o1jz8u77FKG3DWs1Fp0gvgLczLFT6I6eiUXiE7HA4qGlAxFyI5fMTO0yFLHTdlqARKdYq8CRjH0I2jOCwFw3tYFTwhnVZUXX19WhdnFPtLOrJb7m2FhpcWv3Skvm5+z7EuF/jCdDzSWhuiaWtWSqqsYcXDUUA67+Q3ySsuKM0oWtuXoZzqvYJcVKn94P78AIpbvGC3/u7Xx6oNI6WTNX3o/Ia0zPc73vC9A9y/TQbR2aOkenfv02YjMXEOfOoivc4o+p7jlBiNUz34htSHbjtMn5HgERtwthTnGYN2qvo26pF+vZLGvQJkQMeVJxvkhNOGvlvYi4lkJo2GplOdoHXfideDrRHx6oJIbU3NP5dGkRPLawg2c0UVH4Pfb/LXCTNVIjlyH2YfbNSfHYWGbJnFhdvjgYvUzMRRdb/X62TEHxZjX391499QhcXN3FI9GMpaw/diH0z8msZ8k6kz0O3/0Bwgexz/MlJUqNt1iBuhu1sFvSg9Uiq2iUeO8HladPwOldLTrjCuGc0XEQol77tsU+qHWg1PFHGkBX684SyS+pNzAfbpoPUG4ku6Ot3Q0Clz9sN4Lj7uUD3iIM88PciSX94dOorxMtXWmRlJJMSv3yDcRmxxPbRQ7+CFjEZOhKQqqFRg2fLIb2yBoy+gI6ouOCYlp2toX68Tks+4/d6L9vAoE0lxXrkVjMpwnZYOUv0SK47jDho/d7GbpnlsqGnxqIpHyxDnE5iYr8XuJTf8P2RdAee5NAHnXwg/+iTD5N2AyWXA8z5LIA6WtGIvryn4SOsdsIaF75SC70ZM+D+7tgDFkIzehZsuctJsHSwix4fzyIZVKNrV6E0LS6qgIubwWxtZuQDg/vACHMKRKTm1RLS5NatozHkiPQp6GETE6JWIK4UVMtA1PwLNoHXfjFu5TgwWoDqPZba+VJQfBsFPw09psHzRNMWzDhFbddC+cTvVktGXKGbFNkwNC4YQI0Z3eThSxwDEbfhUbbXViZes6tilNrckCbhEpZJIwad62FJo/dPumSqR0qR38Dv1CNTBWltP5NgebON8Sujmn4OBnawrWEojkp49zkDPTo5WfTCyd1/JEG0G16+1nvvNQb2HoPAHOGj9u74SyoiokZcPdi9x7mw1ZrMLg9ecz9MxtmFqBj566tgaFjJVCAu3Y5baMQPu8PCZi03mR5SQE8t8WxJube8xHCbmduQrcelc6wRIG0Pe8iJmMOmVps7wu/+CxLoGQ/x/j2eGgqvyQ8MzreiajX9siet5IIGjbPgLZsC6F8sP1ADJj9g5Jc4IUrt8VGvckOV2ccQyeXbrzg2xJIUdYBBHzFVMYxv9zZx1fS8pn/twkMOxKhLVpHtsRRhz7wX3TQlraIVb5yq0Olx61H9DCmioZV4CqZbE64rU72RhdcJh6lx72O6GFM8p1KXOXdjebamtTMKYdzuw6821IqoH7TS9Cd2kHo57aNRNi8fUp1RzLeFxJ7sf5Gc4ZsR/igkZLxkcpwc33QbTWZQIg1MOuLZFdWK7Zjj/2MPmHqDeBwW72kdxqM6JlMX3QhdKaYwI3aGrRZxr75e2z0L+gTwj5DUoJW3AptDSY7nH8xF67uXkqgbzMcM3/bici/mHYUcrtYwn1eMi/MabjBccofcPPobTPrpAZH81N+QfAPjxFXakxt0FbkKqDV5yvRZn0Iq02e3nsidBOYoLoatG6tD1LHH2kAvbUrRsezFJB6A/OxHEcy/kTQHuYl9obJAfaLzsDB0ZEPeIsxzIH9LhsjWOVgaPlPi+UUdaJ+01ToTm1nDjM7DUH0zK9E5WCNsaLFUQioP0ogjG6PQPPyVmsg6VwLFDB8uhTaglVkZp5Tf4TO/8sCJPlP4VZtKLPzgFdCgfyJK4hh6rrRiK3+iTA2dH8c2pc2K8gDfqjWXLsC+xXecLKrJ4C2ephtraI5+79C+O/PEpgquMA18YS1sKqZf8jwI0J+fIL4Y04wuDH7BNp16KQaH4V05HyiF7riEjFBk/maV5tbHtrQ4wloX3xPyKVRBTb37/OyqR06Jp1WhW98OcFtSXXF5AznRSclf0fmyz8xcK5duYR2q9mBmONj9sGnb6QY5mVno0kfdJcHEDv9M9nxVCKhS9Xn0Gkd+3Za+bMp8PTtq0R3WsQ55Yv1iMtJIGNpG5MWyWb1oIqyIrhvZpfPP/9yAbq6eViNLTaAubd2/XJfVqAqNXIpYh9+WWwq1N5NFOD+rcutwqc5gSlz3ShEXWYnGdJWccrb1unfb0Z06kxCvMyuJ7wS8kV3JOXNsYg7x5Rtr0QXuMw/gjZObUXnIheDUscfaQBdLjtBoTyk3sB8yJb+w1ZEp0wjUOV27vBMOMIHtNUYmaseQORVPcGhmf9WSyoKQMobTyPu/HfEltIC0Pptc6Er2Uj4V8AVPeKLZFEiSZQFlIkR/ZaZ0JUyAc6MDoMQNUudvW+OZv8D/y+HspSvfvUoXLq6yWQ1lE8jb9kdCK3NJo4YAqZDO5Yp6a58D1vuQcESDfrWMS9C+t6ToXtudcsB6Mj/KpD27SbEpM8mapTYe8M3Ppeq838KXL1cjbarfVg91A4P/Rz9NPdTjW6hgPkgypTsytLu6KM/wT9cS7XjKKDfOge64++STwsdAxG4MI3qdAsFDv70IQboXyGjTtq5o5dM3v/ksniVp0vh9m4Yiw79O2zd6pQW5cB7x+2sSZdnlNhsRTluH/RT6I6eiUWtE5WOblaBZtvqvFIEl27dVatYc39fZWMPwCuA/b2lWgEkcuxIxj4E7WGqE5rLaTv+twKVvUSMrDN7cPVwDLjyNwGh/Yat01OI2YZt86Et2UCgs9rFIWLOL0KYshiz5upllKy7F8E3DhEMc3J510XFtDqbxaqKP9GwIwHaovXEcJ5TBELn7xedyNEcA/y/YJ8Z2HqVManjjzSALvqfgboMSr2B+VCTW2IzzykcofOZByg+bFiKkbF3K6KMTHDfXFLo3PNZcPP0sRSSzhNBAe5DuNLKrZQcToPvZ3ezlLLl2xIibJlmTXDLmqd0ewhxrzClNKXiJYTd2us1wLJecLKrYx5W7/0EoQOHC2HOJjFPJgWhV6M+gbZcDtmwcQq0FZ+SfZDtHI3+c3+3yX1hjdNNq2TI5/nJGr/4nMvtfWsInAHt08xtKT5tqQmruf7UcmivJEeN8w58j9BfniLUzG0prs0sttkAXUvXyLhrDTR5i8nwAse+6LswpaXTbWZckx7DIQuhGT3LZvy31tHcA98i7JexBOYi2qNz4ilrYRU7v7l3TLXfkhZrsZrTtn5hlaorRpjbmFQl+8ENF4jMqf2TEfvIq2LJbpN2Mn/5BJEHXiC+m0tVeyQy1QuVJgq3Ep65Io3T/BI4tXVWmiuq5WvYMBHas7uIfyldhiFuGvMuLxfHy4py4bVjIItO4chvEThgkFwoUh63UIC711Jd7kfs9M8l0e3wUh36NUrIOOQUjhCZxKqkEETq+CMNoEux6iqyKfUG5kNK44YJ0JzdzTx0S/gFyfXHnMVWtzIAHe2ukf8yBM2C9qmFfLhOMQRS4NCy2xFSm8OsWd/Z0I5ZIJA1/mHNL6Nnk/3RA+cU6wP/qoiPmL52FKIvMUE9vec46Ca/JT4RkSwWLo5GYD1zC4UGmvgT3nybsy65O6ts+ZER3yAo6i7+jCgIKePHbYgyMIdrl0zt0H5RmaoPGYVYHsPmGdCWbSHQaq6SYal+3Io0tD9ny5Rs7lZZzeyTcG7fsWUANjTK/K5gv7I36/s9+64P0P+uR21Ihda7yr25n9leh8jZP7YeSOUz0l5/FDEXf230nnwfYqczh9gqd99q91K/eQexB+cRnBL73vCNZ94RrTagMADzO+aFZB90xUXCnPZB52cRuX1bzS0XOiRV8AMuY5T0NSMRfflP5juqy1DETtspY8bKp5ayaw3iGiWgHXEMQtDCVMU6Zm6d6fZuOIt/7t3bEXYH0+ZTsc6phDj371zO52InkkPQu+EkUV7f+3nonmPaMqpkSVTrRpPLcL3GQzeJuZEupuNp372HmDR20mrx4z/DL1QjJg3Z2JI6/kgD6LLZCsokIvUG5kO1g6uGYsDVf5gfOK/noJu4jg9oXjBS1z2O2OqfCZbSH1B5EUXmICXJ4fBtYPrApkWtRMyIKTJnzaaXuv5JxF7YSz7MbKdF5Bymf7KinFEo2ZzlgxF+PYOwNwRMg3ZskkK9uTVtbp+ftM73IGbGF7eeSEfcUoGz5SXo/l4Ea1zllBy4efS+5Vw1DmhOD1t+GbF0jY1vPQNN1ddkutF1JDRTt1sKp8p5KV+sQ1wO0ypBTm2C5Cx4ftpvCP7uEULxmskJ7ZLOypmypNzyl+pYJSP1Eh72SCpEK4xzE6jlepupFS4JMtT42UpoDi8j2LTkdutk1n84H7pipuxstnMM+s/9rXUgKhudseYhRF1myqGm0j7ovKxw1h+7ELFvIsE6g27okVjMC7acQbhtAWg7DuFXy7DlNWhL3yeGDra/DQNmM+dGwjPg38KRJbEIqmPaeBp6PAHti+/xb4giWqRA3rLbEdr4gpKML5UZNj4PbQWTxEMrHFm05JJNKlwSg8C6QuZ8I3QRNI+/Jgkfc5XOi8v7sqqsGF0fhmbqh5Lwkdqo1PFHGkCXegco3L7UG5gP+Y4uHgD/+mMEKiU8EXGPTucDmhcM7suQGfTkuH/Qq08oL/gUhH8FKhN9WD9y2XduQf/Bj/FvSEBEbm9bcxZ7m/nHaSkrATXnQhctjkJAPVMOLSViMeJGMf06RaQiiinj56uhObSE2Dpu7wWf+DxRbKvdCDcYVWtyhGP8GZvux1WeFAhP0xlZvBwpdf9xD8H1MktAlIOux3KN6LP7PhaVcy8eQrceveRAT7Ycsn7fiYj9zxN+FXCFeyLzrC5b4hIR0783FbpyJnnlUJswhCw4IBEbZZhtUuWn5zjonldvlR9LV6X4UCr8Pr+HNf3U+BT09OlrKaRNzeMmmqV0HY64Vz+xKQ24zho/WwHN4eXkY5qUwc92SP9+M6JTZzZ6j/KGT3wuP+AyRmnuOevMpEz06OUnY9bKpmZ8axw0Vd8w71AqSKDVfzAbuhObiE9ldj3hlZCv7IVSEfvjyaHwaSgjHqXFrkHM8Emy9DBn/zcI/30c4WZuw3rhpTz67ifL1WpKinuWnzXofUQMGS0Ze/3m6dCVfUDsXzW1Rf2MfHRy6SYZJ6kMSx1/pAF0qVZeJXal3sB8yFid6AkXXCFQOUO2IXzQKD6gecG4UXsdl5f5oysuETy97wvQPbuCF3wKwq8C5tJ0N5LcOKWS9yAo6k5+DQmMVlVRBteN7CSNQ/fvRIhuqMCWKfz/V+BUYgB6grlxlzlwIyLvZfqcqk2pIxl/ImgPUyrN/LJx7bUSdOjURW2uiu5P+g9bEJ0yo9GhgAe8EgpE5yEng03L0krX30pOurSGS96yOxBam02m0BYzTdWru1GL2iVeaG93nfxn1qBNiBjyZGuktrmxqV9vQGzmfOL3UQc/+C/KtDkdWuowN9nWnCTVMPcEnNt1aCmEzY3LXX4nwq4ze8oQMB3asUy1CJsT5F8cNreAubi4N7rgMhmRFrUCMSOY/rdUq39XIHPVA4i8qmfe4b0nQTdhjU1LRvugC7P8xl1roclLJuAFjsHou9AojDEZoZq/oy4v9kbnRud5aTGrEfPgZBmxVBeVzFVDEdm4gqf3ZOgmrFa0k0VZfyPgq+EsH8rGHoBXQJii/VIL+YuJnqy/8dx7dyBs4EOydO96zVXUL/dlvfvR5yZZLlUTUua1a7uiJ+vzY4/9jD5h0pVMryg7Ctf3Y+Bo10B4GYPnQvMk0x5IGepaz1Lq+CMNoFu/hjaNIPUGtlb8yxfPo+PrviyYE0/tQ++gSGuheZ3PzV639f5pvIrLM1hze+rkOAN69enHsyXh4bjVGejtQuE1b2zhSoI7OtjVkI/yh+5CsIZ9k1FcRsJaM/dxdVzpzXo4pEkb/Ghu2JEAbRHTuynPKQKh85nymfxYURYK9wYUvWnQ+vVTQ7uS1nvd+hmHlg5EyA3mFpjBawK0E19vPZANzTB8nAxt4VricW7bSITN22dDCrTO1YsXqtBxnT/s7Uxk4qEHPkOI9oHWAdnQ6OLkCPg1lBCPUwcsR+zIF21IgZa7ym13ltL1QcS9+nHLAWx4ZJNqUuFJiHt0mg0rAjTfB13dVbbEWHDDR/HQHn2DmMp2jkb/ub+LYVpyG5kr70fkNQPhYXR7BJqXt0rOS60EuOXOjaHx0DzOVD9Qot/m76WqZD92qeR+86B5Yq4S3VEV5+aCmsef/AM+wVGy9ZP73JTeaQiiZ34lW76U2P8UOHnsMHpt17LkqH6lCC7duksqUcbqBxF15S/C4bi9N3ovzIadvb2kvMQ2LnX8kQbQxV5xldmTegNbK2dzGdA1s0/CuX1Ha6F5nX9IvxchP7FvK9F+rbxKzBtYeUkBPLfFsfAuTjuGzl1cebMhFpDh3RehPc0ckB1xDELQwlSxzNu0HXO/G6fl7iwNjo/ZB5++8kru4XuRmiRt+EyBbvxKvs3YHJ7x7eegqWT6yad2GYrYaUxvLpsTBEBR1gEEfDWM5XrVC3lwdfeyRTks8plb4ixn8FaE38n0rbYIVIWTDBunQFvxKfGM9sC99SLr358G3Unm8Duj452Iem3PrSfa8AhuoI5Wq7r5ZlBDuyWxtjs3oaXUzhPeCYfFMq9oO+cSvdENF5nv/7s+QP+7HlW0T3yQb9oHnVYBslZXbplXW/rd1G9fBN2xN4mEtGqNtbvp5vMrEvvAHVVkkFqq5KWuG43Y6p8Yv9ppETmH+bewqlL0f1PgdGkRPLZEs/67euoRuLiyz8rkpCC3Ikg1OqDDghI4tnGSE03KhaNA3j8/IPTnMeRTc7n0dgmnJQ9U5/71DcJ+Y9oCmAnm3vMRwm4fYVNrKHX8kQbQbWq78e+s1BvYWo+4JQ/PoTO6JZZaC8v7fHNpqrOLA1kPqnrPZ6CbzLwo8G6UAlqkQGHmXwj8+kEy94bJAY4JlZL/6FriDLd/T73JDpdfLZQ8A88SX5Q2p7L8ONze68+ibQt9cw3vTIb2zGfE75y2AxA+70+lLZ/s+HKzoPXeE6GbwNzulB1hEQg1V1r74G0bMOC+sSJYV74J802N+iRXVsWIolHfIyDiduU7x7MHGXu3IsrI3Di8iPbouKgM9g4OPFtSDxy38pLR9WFopn6oHgcF8MSwYSK0Z3cRZFu6fdhaOc3fX3VJbmhjV0+mFj78HQIj72gtlE2M577bmJ2unJIDN4/eNuG/pU7WXLsC55WerOklT/wG334xlkKqZh63CtBpdId7/BFFvi/LZVGMGyZAc3Y3oWNLlSLyjT8jeO/jxHdzG7DL048q8gKDXPbTv/EwNdTjRlJ3VrvCghF70Fdh7Qqb8y/tu/cQkzaL/Jc5eOYwrwRtndvLfVlUze9Ixj4E7WEChbUmB7SR+flqc0F/tVeTVMMmTNuzETEZTNWJ4/Ze8InPk9w183vLiSXh8GkoI1wyOtyBqFnfSc5NTAJSxx9pAF3M1VahLak3sLWSGj9fDc2hJczhiWMgAhemWQsryHzuDaZyO3f0XJRPXzQFUdty0Jx9XyL8j/EEoAoucE08YTmghDPNBz9Y4QNnuxvMD7X2DUQ98KyErGzDdHPVMeoWnFV91urBn3dgwD8vkUW+ZnKCw/xSOLV1to2FF8hL7s3+FFpC9L9Kc3vg6nuOhe75DQKtgrpgq8+dhcubASynTj+XBo/egepylAdvzL3L3DezywzKvfQgD25bBZGxZgSiLjMl2/W9xkM3iWlDYRW4Sidn/LgNUYZXiXdXTM5ou7BU9c8Nliwn/f5qnWrmhLOaJb3R0e4amZgetx7Rw5j3ndYh2sbo5kqBKrUqGd8r1mwf9GeM8PQL5tuUzeBxb88a3MdA+8K7NuG/ucQzlvdG20ZnFtl3bkH/wY/ZhP9iOnnh7Cl02cD+Oz09IQMe3v5i0hDE1vmzp+Dydj9WOxxbvOUpiLhWgGb+thORfz1PECrgCvfEY1YgijOV2ypI3+tZ6CYxbTbEYUGttEYB/YfzoStmzoJy2kYhfN4frYEQbKzh02XQFjCVOetM9qialAZ3L+V/97ZUNKnjjzSA3tKVouOaVUDqDWztsujfewW6cuZGi5yzeJrL/s9/8EsEx9xtrQx0Po8KcDNXzf1JfOKZ3qc8mhIFKmf5YIRfzyC2jN1GQPPKR6LYtmUj3LYNF9EBnRPLVS9JdVUFOr3Zl/XiSrN1rV/2C4m90AWXCVDOkG0IHzTKemCFI3DLXR5uE4p+C/5RuFfi0C8tyoH3DvZt82uzytCuQydxCCjMyplEP/TAOcI6JYL2e73ZEnKTWwyBM6F9Ol5hqy4u3aqKMrhuDGUZLRz5LQIHDBKXiAKsnTiSid6f3MliKscWXnKSMmvFPYioYdo40R7Dt14d7rO8OQjCD5QAACAASURBVKmlfcIpmvyO//VBP5/swypvT38Xb72nbjbi4KphGHD1ABmi7/08dM+tsg5UQbMPL70N/W4wNwVp4p0wi1eclwK/XfeywGvnnYFT27bCGBQZldvf3eDxNLRT3hGZBTXXWIGUL9YjLieBfFToEIDARemyF0m/aSp0p7YTnkcd+sB/0UHZ87Zlgsa3x0NT+SXzvt5lGOKmMW3YpNTm4oUqOK7rh/Z215nfea/noJu4TkpaotqWOv5IA+iiLrf6jEm9ga1VNO31RxFz8VcCY3B/EtoXNlkLK8h884tm2eJQeJuYIJqh++PQvrRZEHsU1DIFjDuXQ5O/gkxWekDGsCMB2iLm1pe58oFnwhHLxKGzWqxAxk8fIUr/MhlfZucBr4SCFs9X8sCjiyPhX1/MPBj6vgDds8zflJJ9k4L7lUsX0GGtD8t06dP74R0YIQUdWdnktnG5bmoDu/lltOJBC1YpP/VXBH/P9HE1lzlsn3SmBTNtcwi33ytNRrv5PuD+DqRGLkPsw0x1EtvcRbf2+kRyCHo3nGTeawJnQPs0c+h4awTbGHHY+BP67R1NnDUHNjskVdiG8xZ6qf9wAXTFb5PZxfa+8IvPshDNNqalfbsJMemzibNyKQUqF/W5lUZSXWgfdGvWJm/ZIITWMn+ThqBZ0D610BpIRc3VvzcVunImWJXnFI7Q+X8rygclkM3d/zXCfn+GUD2PTuiayJQVVoIPN+No2DwD2rItZMgxe1/0ob91ki6rYdt8aEuYW8FZ7eIQMecXSTm1xDg3ic4858ykTPTo5deS6XSMBApkrnoAkf+PvfOOr6rY2vCbkEBCb6FDAgQIJBAIKSeg2EXF7kUsKFZQUVRUkB6qKFiwInY/C3rFjopdEHNSSKGFDiF0QickhJTvN8fL3tmbk+T0Xc67/7lXMrNmrWets8usmTWnUqWRUzvej+R752ugif0h1UeciSOI64/fgJDQBrrR0ZuKaJ1/ZALdm971A9laB7C7iPNmJ6PnmfWSGL1/aKS+8wSSC+SEeSGaotnkragTFOQuCvb3EIHUd59C8s5FkrTs+gPQb9yPHpLuezFb11jRdclgxcC77/wH7bsodzn5XjNzj5i+5EUkrkmRjNwU1B3dJ8s7f8xsvfX1+2E58Llkop5KJxmRe37eKoR/drFCde60+xeHvTK+G6/+Cj3ilbyM6Hdv65zzyyfou/JBaZi9CEPblC3eHtaw8q0fpcCyRV4hzuRTza7cn9IFrXFIapQ76E3EXnyLYf3vK8XTXx6OxMPfVXkHHYh+437w1fCGGUe9SJGLQ2t33Yb0XxD1g7Ic8rFHNqFJi9a1d/bTFtYPp8Cy7eUq77P90HvCn35K41yz0z57Fkl5c6Q/8Bx090Jjy8w4RJZvlYT4247+3N8/R+zy+yX7S8Si2Ak7eX61e2F1Tu/Mb15DfPZE6d/NlmDekPYzon4cqrD74MhchLWL8DBJinOUQNpr9yLp4BfyvU1Hu4JrsuFM6WkUz4lAY5ySdecxeo66XZN2ej/2cPv6DHT+/FIFG3961mudf2QCXZOfpXkG1TqA3SW5L6Ur2qBQEpOV/CriBt/hrliv9c/fmIPwT5UlB9de8iFizr/Oa2NSsHMEjPqCV52VFeXlODyzC1riqNQkrdckJN0s76hwjhBbO0Ig9cMpSK4y6ZYbkoDYp+VqGY7IMGob9cS22NkaNHEndwW76NDVf3yBPn/dK/UWK1WbpxS4KM183XbMiEFEhcyDpaId83HGlwuQsFouqW2UcnqOWef5VuoJuYrKAJx6YjsaNm7m+cFMILF4WhhCA0olS3hkkWNOzfz2DcRnPS01FjvDmkzJR2CdOo4J8JNWaf99HknrZkjW+tMiRVddXHq6BOVzOip+lzkD30Dfy25zVaTp+6m/CTOaXomExxab3m5HDbS3wHMPz0F3FN857XZNj0KHyr3Sv2cnv4x+g+Wdwi4LNkhHsSi20YJuymPAhixBVIIy2WAQc3Srpnph0OqQ/ujz9O+61ddZxcrOlOLU7HBl0pPHLjmL0aPtV82/Dv1PyovPUtuNQPJIeXGaRwfzsDB1pRU9HxnrYdMNKe5ISgc0wwlJ9zUXvYfeF9yoK1vWPHMhep+WjwIQi5g6T872i+OBtM4/MoGuq5+C8ZTROoDdISZWhAXObo06AZWSmC03LEVkrPJMT3fG8Ebfc1ZFNRuCxEc/8cZQlOkCgXOOBTDBuUlqm7IbnId+Ty11gQ67OErAuvAhWPZ9LDXPbHwp4scucbS7odsdLdyHpq/2UNiw4aovEJWoPG/N0Eb6UHl1ooCJTiX89AW3I/HI99I/ZjUchLgn5R2cPnSVoYZSL/JZHRKPPk//ZigbfKlsyamTqPNsJwQHlEvDrr30/xBz3rW+VMMQYwlWIc+1V+haMPxvdIzsbQj9tVRyb/5GtH0vUaHCjmG/IaJnvJZq6W7s1PfGIzl/oaRXTqgFfccv052eelNo7TMXIOZ0jqSWtfWtsDwoc9Sbvlrrkz1vCPoVySWkU/3srMra+PMc9NoIOff3wykdFWfK++Mmi+0zYtG5Yod8j+r6KCx3yIulnCPK1vYIqCvFpTe5AomPf2YqWFnzrkFc0XLJplWNLkL/J742lY1GMmbdnPMQXbpG/l0b6HiK9K9eQWKufJTGycpQ1J24gxtDdBiAxUUnEDqvg0Kz/Fv+QHhUnK60zf19MWKXj1Lo5C9zClrnH5lA19VPwXjKaB3A7hCzN8l0ZPQGNAtr645Yr/dVr/o8jgao9/QWlqfyOnnHBlg99xL0KcmUGqd2GYPkO2c61lmnrTK+fhUJOZMk7U5UhiJ08k4EBdfVqcbGVyv9pVuReFQuu2oNGwrLaPn4BuNbWLMF22bEokvVCZCI0bDcJZd5NLv9nrQv9a3HkLz7PUkkVz4r6aZ/9TISc6dI/3gAzRE2datfrOJ1J87OXeRzGeLHyuX13JFt1r6bZiWge9kmeQKI9zW7rt6/aytav62crGCpaMd/FftSItEGB6UOab0mI+nmpxwX4Actra/dB8vB/0qWphukHKjWrlEfU7U5qBu6TZa/ebTWT2/jq+/5adFTkDT0Sb2pqak+556DfjkSHpd/m5oqZ7DBS6e1QN2AMknrTdd+i+5xysqFBjPJaXXV58Ma/Sg9pwH4oMOq569H/xN/SCOltr0DyaNe9cHIvhtCfZTeMTRAw8k7eWym71ygGGnnjF7oVLFb+rfMhPmIHyIf16CRWg4NW7hvJ1ouVC4AXnvZR4gZeI1D/dnIdwQKNuei48eDFAMWPZGPBo2a+k4JB0YSFWJ3z4pBx8o9Uuuc+snoO+4nB3obu4nW+Ucm0I0dP5prr3UAuwNgfeqP6LVMPk9RlAkOnbZP95Pm+3ZuRpt3lTtJWELPnUjwbN/Ns+LRrWyzJDS9dwoSb3rcs4P4WNrBPTsQtihWMeoGlkTzqheyn7sS/U79I3+cdhqF5Hue8+qYehKuntw2W3k4X7LOfOE/iD/+izSktdUwWB5a5EsVdD2WvY+lvXeno224sgqCro3QQLmMl25BwtEfGVdOsFeX8+WuV/vwtq6xouuSwdIfyysDEDD1EMuQOxhr6qpBmY0uQfwTXzrY2z+aZT5/I+JPyBUzUtsOR/Ko1/zDeDesXLvyO8T8Mlzx2yzmURTVEj2YEoEwHJH+njvoTcReLM89uOEK03RVn4O+Hy3QauoW3c/H6M0Bp0tOod5c5SaQgtuXo2M35fe73vT2tD6Z372J+FXyMXM8xsTThIH1c85DL4PuBnaUxr6CLWjzTn9F841Xf4Ue8Rc7KoLtPEjgeEo7NEaRJHHdZZ8geuAQD47gXVGbZ/ZHt/It8jezCSqUepeYNtLXrvgGMb/dKQ0uNio2TpGT1NpoZX9U9buTOBpu9x0rTF+tTev8IxPoevoVGFAXrQPYHWQZ37yOhOwJkoj8wI4In7rWHZE+65s3Oxk9z6yXxlvV6GL0f+Irn43PgaonsGd6d7Sr3C81yEp+FXGD7zA8sh0zeiOiYqdkR6qfJXR97cC82QPQ88w6adi0nhOQNEw+19TX+vh6vOxlH6Bf6hhpWLHAKXhSAYLr1vO1KoYf75yJjm5PwHK7fHa14Q100wBRQvTojE6K864y4+ch/uqRbko2d/fcZy9HbHGa/EyIeBDJd801t9FuWnfuxG5jNJ2az0SBiuvav79FzK/ye5OYAG+WsstN+v7TXX1sB6tqnOt79fmB1sjHYBk+3X+CxEVLRXnLOs+Fo26VoyhWX/gu+lx4k4sSzdtNnBkfNKeN4jzmrTctQ9feFvMa7YJl+RuyEL74IkVPHtnhPMhD+3ehxRvRio6FD6xFyzYdnRdm4B72NprosQSvgRGjYHpPxc7HzIQXED/kXiObZFf3HTNiEFFRIH/ndBqJ5Hvmmc5OvRtkb3GQ0X7T1rfHwrLrHQn1jsCOiDBI3kHv8eFJ/dTl9reLs8Wn5npyCI/JKjpxFOXP91IsLEkL+w+SRstx5rHBdCRI6/wjE+g6CgYjqqJ1ALvDLPX9p5G84w1JhJHO70z7bC6S8p6RdBdlhRpP3cVJWHcCwkN9T0xrg0YBxZK09YMXo1fylR6Srp0Y6+sjYTkgn2+VF9wLPSelaqeQyUfOnxGD8CofbUYqVeUJ1xw5uBfNXotSiGLVA9fI7pneDe0qD0idsywLEHfFXa4JM2mvnOeuQN9T8v0sreWNSHpYLntvUrPdMmvjrET0KNsoyUiLnoqkoU+4JdPsnfds34B2HyQpzNx95z9o30U56W12DrXZl/Xje4hLe0xqVhDQDh2n5dXWjX//H4H8jTkI/1RZtnfPiDS066x8pvozsK0z+6Jr+XYJQUbfOUi4frQ/I3HYdvUi7tR2I5A88mWH+/tLQ3tHxfEoinO9LxYxHprRGS1xlO8Tbvw4tq9LQ+f/Xq6QUDJuN0LqN3RDqjG77kvpijYolJRPj5mGxP+MNaYxOtT65LQ2aFhlrmvd4MWINsFclxq19Y0HYNn/qfTPG4Oi0GOyvHBYh64xpUr2FsUY7Vm6IfM3RH1/o8I/e+5KR7sIVrvTU9CmvjceyfkLJZVyQxMRO16u4qgnXYUu6uP0xIajM4+tR5NmLfWmqsf00Tr/yAS6x1zpn4K0DmB3qKe/PByJh7+TP9aaX4ukMf/njkif9bX3IuGPZbp8BtzBgc6UnkbwnFaK1juG/YaInsqS+w6K01Wz3D/+i9i/7pN0KqsMRPHYrWjUpLmu9DSLModSOqEFjknmrLn4ffQedINZzHPIju0zYtG5yjnoqZ1HI3kEz0F3CN7/GpWXlaFiZisEV9kt5o9nItbGLPXDKUjeJicAtgeGo/PU1bV18+u/75reAx0q90kMspNfRr/BI/yaSW3Gi0TB4RkRint7ZtyziL/2gdq6+tXf0/47H0nrZko2bwjqiajJVr9i4I6xIs6OzAhHcxyXxGT0nY2E6x92R6yp+p5TWvuCtxF70VBT2egtY1IXjUHyng8k8VxQa5/0hrSfEfWjHFPFlXURMm0/F7vbwaU+UoGV9Zz/9WZ8uQAJq+XqUvvQEm1StjovyAQ91PGU0WQwEh7/3ASWaW9C8cnjCJ2vrGqw8/YV6NStj/bKeViDNcu/Qu/f5QXn4jihk2M2okmL1h4eieJqIrAp6y90//ZaqUlpZR0ETys01LNUzMccnxWhqHaX1msSkm6Wj5tgFGhP4Jz8UIvrkPTIh9orVo0GIifU8p1EBAVUSC2s3cbCcvs03ersrmJa5x+ZQHfXg37eX+sAdgf/6rmXoE9JpiQi1UDlR8XkWOGMLopz1bh7wp1o8Ezfwn0FaLkwRiGs8IE1aNmmk2cG0FDKqZPHEDSvC+oGlElaZA94Df0ul89C1FA9Uw0tft9l01sqkp5bbliKyNjzTGVnbcaozws2UpWQ2mzz1d/379qK1m/HKYY79OA6tGjdwVcqGGKcDRm/ImqpsgTt0Yc3omnLNobQXwslzVptxdsss5+7Ev1O/SMNk9byJiQ9/K63hzWUfOv7E2HZIZ9HzbPinXdf1ryrEVe0QuqY3vQqJD4m76RyXqJ5eoh3rDPTWyrKkG++7jt06zfIPEZ60ZLVf3yBPn/J5XrFZHbF+J1+udO1Jsyrlr6N/hlyVRZW0qieVvoXLyBxrXyEQiGaosXU7YZKkHjxJ+eQaPXEf1bDCxD35LcO9TVbI/XZsLsDWqP9tE1mM1MTe3ZvXYv2/zdQMfbJJ/LRsFFTTfTx5qAlxUWonBuB0IBSaZhViS+g/1XmK1fvTY7uys75bTH6rhglidmPFmidss1dsT7vn/nCTYg//qs0Lr9tfO6CWgdcPfdS9CnJkNoZIT+UNf9axJ38S9J5L8IQNmk9goLr1mqvERtonX9kAt2IUaMjnbUOYHdQ5M+IRniFfKZiZtxcxF/7oDsifdo3e94Q9Cv6WxozrcX1SHpE3hHgU2U4mI1Aft4qhH92sYJG6YT9qFsvxBSE1s0ZhOhS+RwYljn2jluPHz2Exi91UQjfe3c62ob7V5mnrJ/eR5z1UYkDz0F3Pt42pP+CqB/+I3U8XRmMutMOcFJShVKcVVo+p6NikoQLhKqPN8Gr7jPKHRhGO4/O+V+TZ3qkfjARydvl5PDmOpHoNmWVZ4SbRMo5yd9mQ5D46Ccmsc43Zlg/mQnLpvnSYEzeydyPHSlEkwVd/f4dy9VIPHn8CEKf74w6AZWSiHWXfYLogUNcFWnKftaPUmDZ8qLMqG4soicuN6Wt7hq1e9s6tP9wgEJM/rDfEd6zv7ui/aa/umqX2Xeh1eTYbWvT0OULZTn7gyNzEdYuwm/iwVuGbkj7CVE/DpPEF1WGoH7KPgQEBHhrSE3l5s69FLFVEmpcjOh7d6QveRGJa1KkgY363ZT53ZuIXyXvOBdVaQIn5KNeSH3fQ+WIdgnsmNEbERU7pb8ZoXqXeq5PKG/mqoBa5x+ZQOfNwy0CWgewq8qL3QfF09ugfsBpSYTRzqq2fjgFliolZ7fU6YrIKVmuImE/DxBYb/0JvX6SPypOVoai4XS5xK0HhtBUhHrinxOy3nGHvXNyi57IRwMTru6uieDhA7vR/PVeiiYbrv4SUfGXeAe8CaVmLn0L8RlPSpbxN1u9k9c+cwFiTudIDaythsHy0CITRoX7JhXuyUfLRcpyjYcfWo/mrdq7L9zkEtatXIroX26TrDxTWQdl4/IR2qCRyS13zDxxFE7J7HA0qnK+phEmMByzznettuT+jcivlAlNs1REcpdiwZY16PiRsqJP8VO7+Bt0AuzmWfHoVrZZ6pHaaSSS75nnhATzN7W+PhKWA59JhmY0uRwJj//X/Ia7YKGYl9k/o5vi3Oq0nhOQNOxpF6T5XxexqKX+850RWGVRy4arvkBU4mX+BwOAKJdcNKsjGuOUZP+qxJfQ/6q7/ZKHJ43O+vE9xKU9JoncFdAWHaZt8OQQupJl/WQWLJvkZ9sBNEfY1K1ciO5DL6W+/zSSd7whjZgbmoTY8T/7UAPPDHW0cB8avxKluE+vv+Iz9LJc4ZkBKMVtAurqemsv/T/EnCcfH+D2AF4QIN6fNs9JQvcyucrK+uAY9Jq00gujaS9S6/wjE+jax4ChNdA6gF2Fd+TgXjR7LUrR3Wg7PNen/ohey26RbBBnUp8Zt5MTQK4GhQf6Zf/8Efr9M1qStCegFdpNkyeYPDCEpiI2Zy9Ht2+uMfTvRlOADg6u5lxaGYTgaQf98mNt+4w+6FyRL5FL7fwwkkfMdpAkm6kXWq2t1xcxE+QyTyQkE0h9bzyS8xdK/8BFadVHh3p3T0VlACqnFKJOUBBDqhYCRSeOImR+hGL3Zt6Vn6Nn0mCyA6BeiCigFI5cjZbtwsnHCQIigVA8swMaVlmIwATCvwDVZ1OL6jb1px9wgi6bWt94AJb98pEAfLc4Nyay5l+DuJPyjvPUdiOQPPJlBk81BDJevBkJx5ZJf81qMAhxT31HXg4QWPv3t4j59Q6pJY9VANQ7h61hQ2EZ/bYDNNmkJgJpn85G0sbnpCZmTtQII3duykGnTy5QINk+9Gd0jk5ioPiIgPpIPyNXAdg6sy+6lm+XyKWGP4Dku5/1EUkOUxOBE8cOo9GLnRVNCob/jY6RvXUPTl3dQCi8+frv0a3v+brX3VkFtc4/MoHurMfYXkFA6wB21R2bc1ag29dXS93LxeTv5AOGOitCnEldd14EggIq5JdYrmJzNSQ80i99yUtIXDNNkmXUEkPVwRATssdnRaAZTkhN0nunIPGmxz3Cj0L+JbD6zyXo8+c9Eo6DaIawlB1+iSft1buRVPilZPvqkAT0eVo+P8ovoThhtJqfkT86nTDbpabqRWkiKXzy8a1o3LSFS/LM3Ek9WXsEjdAsRT4Sx8y2e8I29QSKNfIxWIbL5796Ygyjykh961Ek735fUn9rnS7oOiXbqOZoqrf6LL+0ljch6eF3NdVJD4ObfbGrLxirGYpSpHUmFpjmyCpPMNw4Kwk9yuSdmWk9JyJp2HhPiDaljPSvXkFi7mTJtqNoiMZTdiKwTh1T2utJo6zvT4Rlh3w0zKag7ug+WT7H1ZNjGUWWmgkXxXrGc9ZFj8Cy50NJ2KqGF6L/k994RrgOpYjdnXtn9kC7SnmRHd/ZfeuoVfOvQ/+Tf0qDGnkxmvX1+2E58LlkCxcf+jaWahrN3lGsJeN2I6R+Q/0oWY0m4mi9o8/0RCscllpkNr4M8WO/0L3uziqodf6RCXRnPcb2CgJaB7Cr7sha9n+IS31Y6r4PLdEmZaur4jTrt3VmP3Qt3yaNb+36KCx3zNBMH38fWL3bc3VIf/R5+ndTYVG/xJr9w0kL56lXEW4PDEfnqau1UEXzMdWl4sRZa3Un7URw3Xqa62YEBXKeHYy+xVb5o5NlVqt1W0lxEQLmhqNewBmpTe6gNxF7sVzpxQg+94WOq354B/3Tx0pD7Qxsj05T1/tiaFOMkfbKnUg6JE84ZjU4H3FPfW8K29w1YsvMOESWy+/jqe3uRPLIV9wV65f91cfubA+MQOepuX7JoqrR6V+8gMS18oIVJpucD4ljh/ajySvdFR39uWS0PYL7U7qgNQ5Jf8oZ+Ab6XiYf3+E8dXP32Ju/EW3fS1QYufWmZeja22Juwz1gXc5zV6DvqVRJUlrYf5A0+h0PSDauCPWiWLFZpviJ7WjYuJlxjdKB5pkvDUP80Z8kTaxhN8My+i0daOY9FdTv7Ex6eo+1PcnqxWjWHuNguXWSb5Xw0GjqHAQXH3oIrAfEqDcwHUFjNEsp8IBk34hQLxoTlWhKHt9suo0gWucfmUD3TTybdhStA9hVsNZPZsKyab7UPS84Gj0n/eOqOM36pb0yAkmHvpbG5ySsZq6wDZz65mgk7/1IUiKz0SWIf0LePautdp4ZXb3LXuwQaDQ5n6V7PYPXJsX66RxYNsrlnNbV7Y3oiX97cATjiDq0fxdavBGtUHjj1V+hR/zFxjFCQ023zYhFlwq5ekF67Ewk3jBGQ430PfT6OeehV+kaSUlrm9theeB1fSutgXZpn81FUt4zhn+H0gCdbciMr19FQo48+SOqjLScus0vj+mo6oPCfTvRcqGyVN76wYvRK/lKrVxl6HHVpcqFMfvuXYU2HSMNbZe7yqe+Ow7JO9+UxBj1PE13Objbf/uMWHSu8n7BI3ZkomVnSoFZrRVV4rbcsBSRsee5i93U/XdP7472lfvld7DuT8Jy2xRT2+yucWKH7JEZ4WiO45KozP7PIf6aUe6KNnT/klMnEfhsJ9QNKJfsWHPx++g96AZD26W18qvnXoI+JZmSGv5w31dXXBFH65U9tQ31GzbR2h2mH//YkUI0eKmb4lmae8HbiL1oqCFtt3eMLBcf6sOV6UteROKaFEkZo1UtEbHV4NUY1A0ok2zISnoJcVferQ/AHtJC6/wjE+gecqS/itE6gF3lbn1jFCz7F8sfGo0vRfzYJa6K06yfehL2AJqjVYp8ropmivnpwOkLbkPikaWS9WYsl7lv52a0eTde4eHN132Hbv0G+anXPW926jtPIrlAXs2d3eA89HtKjivPj6hviTtm9EZExU75Y73LGCTfOVPfSutEu+Mp7dAYRZI2ay/5EDHnX6cT7fSnhvXtsbDsknftcGeifR+lvvMEkgvksySz6w9Ev3E/6M+hOtXI3pmKTGyKhQWvISFnouS1k5WhqDcpnxVHXIzjM6WnUTyns+IZYO3+FCy3yWWSXRRt6G7rZw9ErzNrq7yr34ikh98ztE1aKK8+IiY3JAGxPGLH5ooDu7ej1Vt9FW459OA6tGjdQQtXGWZM9Xd0Tv1k9B0n73Y1jCE+VHT3tjy0/1C5S3/3nVa079LTh1roc6gNsyyIKsuTvx873ofke5/Xp7IG0WrbzFh0Ka+6MHs2Em+Qq3oaxAyn1BRnI4e8EIngKosxcs5biL6X3uqUHDZ2noC64tnpymBUjNuO0AaNnBemkx7qxYfWiNGw3DVHJ9r5rxrnzm0MQL9xPxoKyOq5F6NPySpJZzMe3ah1/pEJdEP9JPSnrNYB7CqRrHlXI65ohfxC3W4Ekke+7Ko4zfrZm4Tdf18WWnfoqplO/jxw9nNXod+plVU+1O5H8r1ypQOzsCmY3hMdK/dI5vDFz7OeTXv1HiQVygt60ptdjcRHP/bsIAaSxkla15wlPvgbvdhZ0XnX8JXoEBnjmkA/6LV2xTeI+e1OydKyykCcfnI7GjRq6gfWO26ieqd+WksmoBynB1SUl+PEzI5oUmVxy6rEl9D/KnOtEneGiWib+fyNiD/xm9TN3xePOcvPXvuMF29GwrFl0p/WB8eg1yT5PdUTYxhJhtih0fjVnqgTUCmpzaM6XPOgemJbHLETOG6LoSe2XSNxbq+Nmb+jx/fyTlexYzFo6gGe510LYPURVsdRHw0mF7DKWQ3cdta91gAAIABJREFU1MwOi7KzU/P9vqKNQGZd+BAs++TvZ5bedv8Odzilo6LaQe6F7yL2wpvcF6xzCevmnIfoKhXKMppeiYTH5M1YOlffsOplvDgMCcfkRVSrQxLQx+AL9dTzfGY88tOIAZf+0q1IPCpvBjDi3Ib1k1mwbJon4S9EUzSfss1U755a5x+ZQDfir1tHOmsdwK6i2DwrHt3KNkvd06KnIGnok66K06yfvUlYM5bq0AywkwOrd7VYe4yH5VZ5N5WT4nTbXP3it65uH0RPlBek6FZxgyimTiKktr0TyaP89wzYVT+8h/7pj0neE5O09SYXICi4rkE8qo2a29dnoPPnlyoGLxm/ByGhDbRRyACjnjp5DMHzOit2Gay56D30vuBGA2jvGxVFme3mb/RBYJUEFHdiOM9+9dxL0ackQ+pobX0LLA/KZaWdl2jsHuVlZTg+KwLNcKLKu/lUJA19wtiGaax9zi+foO/KByUtKioDcPjB1WjZppPGmmkzfPpXryAxV96Bf6qyHgLHb0NI/YbaKGTgUcURO81ej1E8C1g6+l+HZv34HuLS5PfW3QGt0X7aJgN72zeqF+7JR8tFfRSDscpZzeytr90Hy8H/So24a1/mpX7+ift98KQCVrVx8edcVnoagbNbK+75W//zM7rGJLko0Tjd1Md/HkMD1J+4nbHkRReKee4jMzujBY7J3wVRTyPplgleHNX7orN+eh9x1kelgXhf8j5zR0ZY88yF6H06W2qaasCKl7u2rEWHjwaa+h1K6/wjE+iO/JrYploCWgewq645Z/Wkgc9SUZ9FZG19KywPLnQVDfu5QWDHjBhEVBRIEsw6kaT+IC2trIOyp7bzLCg3YqdqV3X5HWvXR2G5Y4aHpBtPjL1z0Ddd+w26x11oPGN8qHHu758jdvn90ohiFWrLlHwfamDMoc4p+dj+LiTfv8CYxnhB67TP5yFp/SxJsljQUufpbVyY4SRr9TnMG4J6Imqy1Ukp5mm+KetPdP9WebzE3rvT0Ta8h3mM1MCSkuIilM/tggYBJdLoab0mI+nmpzTQRvshs+cNQb+ivyVFWOXAPZ+seeYi9D6dJQlZHRKPPk/LVSTck27c3upky/q6vdFrohx3xrXM+5rvnNELnSp2SwNZu4yBhcc2VQt+06wEdC+TF2ewKpyMyt55w/x+dP03fHD3doSpj6Z4aD1atGrvulCD9LR3hOGai99H70FypRGDmGIYNe19F5jheIrDB3aj+eu9FH7YcPWXiIq/xDC+MaOi6ncPo87jqyvFpnYaieR75F3pRved1vlHJtCNHkEa6691ALtifnHRCYTOU55Blj/sd4T37O+KOM37qM9LzgvuhZ6TUjXXy98UKD1dgtNzItAooFieSLrwXfQxYVkre2dB5Q56C7EX3+xvbveKvZtn9ke38i2S7Iw+M5Bwo7xS1SuD6lyoenFKaufRSB7B86Jqcps60cnzvB0L8tRFjyB5z4dSYz5TldzWPnMBYk7nSP+Y2egSxD/xpWNw2UoisOavL9H7D7lkuzjXDxN2ol5Ifb+klPruU0jeuUiyPT+wI8KnyudU+yUUDxm96vnr0f/EH3Ls1euH3hP+9JB044gpOXUSFc92Qf2A0/L7Vd/ZSLje3Oe3etNDmd8uRHzWeGmIclHhYFQOwtpFeHNY3cu2vvEALPs/lZ+TjS9F/Fj5aCbdG6ChgmmvjEDSoa/lb2kTlOz1Fk6xQCpwbkfUrXI289pL/w8x513rrSENJzd/RgzCq2xusHYbC8vt0wxnhx4U3pKzHJFfXyOpcqayDupMPWiq8sA1cVYvVklrcR2SHpG/F/XgIzPpoJ7jzg/sgPCp60xh4jnzWgbc7WwKR/zPiMqKChRPb6P4Plh/xWfoZbnCcGZa3xgFy375eAmzzf9pnX9kAt1wPwl9Kax1ALtCw9654UVP5Bv2jNPVf3yBPn/dK6EoqQxG4MRdqFsvxBU87OMigVVL30b/DGWp0T13paNdhDl3T+XNHoCeZ+SXWGurYbA8JE9+u4iR3QDsmd4N7SoPSCyyB7yGfpcP92s26nPQCwLaocOUdTzjr4aoSF00Bsl7PpBaZDUYhLinvvPrOHLEePUzVVTYqBi/kyV+ARwt3IeGr/REUECFHFeWBYi74i5H0LJNFQLHjhSiyYKuCib+vDNq46wk9CjbIPHw95L2nvyxqI9BKasMxMlH8tC0ZRtPDqN7WTm/LUbfFaMkPUWy9/jDeWgW1lb3uutVQbEovfy5bmhYZfEwdwwD6kUrqW2HI3nUa3p1o670Ut+vWN62evdsyPgVUUvl86fFER2nntiOho2b6cqnWiqT/vJwJB6Wv33W1e2NaFaDcMklub99itgVD0h996MFWqdsc0mWETulfjgFydtellQ/hCZoOnkb6gQFGdEc3eusPnLVTFVW1fNaZjjbXfcBVYOCxw7tR5NXuitaGHUef83yb9D79zsVthQ+sBYt23Q0sosk3bXOPzKBboow0s4IrQPYFcvVu36OoiGapsilwlyRqWUfezd8nhfme4+smzMI0aW50sBmL9enLj+7I7AjIrhbzCOBd3JaG8VkZN6Vn6Nn0mCPyDaqkHUrlyL6l9sU6q+95EPEnK8s+WtU+7yhd+YLNyH++K+SaDN9eHqD11mZosJG/Re6oE6VM77XXvYRYgbKuy68Ob6eZWd8uQAJq6dKKoqJ7YBxWxHaoJGe1datbuodCNbuT8Fym3w+s24V97BiYmFGo1eiFL85lsb0HOSiE0dRZ34kQgLOSELTY2ci8YYxnhvEAJLUiZT1wTHoNWmlATTXt4rpL92KxKM/SEqK74Hwyav9eoFj3uxk9DyzXn7/6jEellsn6tuROtHObnnbIUsQlXCpTjTUjxrWj2fAsvl5SaHtgRHoPFWei9CPptppYm+Dw/ahP6NztPnP7fY09fQvXkDi2umS2M11uqHblExPD6NbefbOF14/eDF6JV+pW52NqljhvgK0XBijUN9M1TVW/fAO+qePlewTx6HVm1yAoOC6RnWZofXeusaKrkvkuVaxGK180n4E161nOLtEVdwzc8IVR3dlmKjaltb5RybQDfeT0JfCWgewKzTSl7yIxDUpUtetdbqg65RsV0Tppo/6zI60nhOQNOxp3ehndkUKNuei48eDFGYa9dwUR321IfM3RH1/o6L5gftz0Kp9Z0dFsJ0dAuKlp+4zrRV/yb/lD4RHxfk1L1FaaeesPooyfFkNzkfcU9/7NZeajD+nSoSfJudcCRD1qvfUjvcj+d75rogyVZ/cuZcitiRDsolVDdxzrzrxtKrRxej/xFfuCTVgb/UEd3FlXQQ8vQMhoQ0MaI0+Vc5+7ir0OyUni3NCLeg7fpk+lfWCVhXl5Tg8swta4qgk3Rr5OCzD5e9BLwzrFyLXp/6IXstuUdjq7wu596ZEoi0Oys/K5FcRN/gOv4gHTxi5fUYsOlfskESlRjyI5LvmekK0qWSsmn8d+p+Uj+NIb34NEsd8ZCob3TXmdMkpnJwbhRY4JolKa34tksb8n7ui/a6/9d1xsOx8U7I7JzQZfcf/5Fccts2IRZcq9yZr2FBYRr/tVwx8YWz6V68gMVdeUHyyMhR1J+4wTYVVewsENl37LbrHXeALvBxDRUBdoeogmiEsRX4HMRqw7HlD0K/ob/kdtOEFiHvyW6OZYVdfrfOPTKCbIoy0M0LrAHbF8tS3H0fyrnelrtn1B6DfuB9dEaWbPhkv3oyEY/JEWGbjyxA/9gvd6Gd2RdRn3R1BI9R/epOpzzItO1OKU7PD0RinJPeaaXWbVjFr74X60IPr0KJ1B61U0s24aYufQdIGeQJNlKE9PDKLizaq8dC+lEi04QSuS/GrvqevqxuL6InLXZJllk6i5HjoS90VZ21mxs9D/NUjzWKiz+1Q7+YpRFM0HL/e7xLHGS/dgoSj8nt4bmgiYsf/4nN/mHnAzG/fQHyWvLC2tDIIp8duRqMmzc1stmSbvUWfBcP/RsfI3n5hvzeNFIsT9s3qiXaV+6Vh0lrehKSH5W9tb46vN9mCR/mMMARXOZeaE+POecn62n2wHPyv1Gltvb6ImfCXc0L8oLX6PT+993Qk3vSYH1junInWt8fCsusdqZNYpFc6Zi2atFAuWHdOqv+1Tn9lBBIPfS3f5/1wIYK6AqMoYx82ZbPfnAPvq6jPmn8N4k7K391m3DSRPyMa4RW7JKTWro/CcscMXyHmOFUIpH3+HJLWz5b+xejnhqcveQmJa6ZJ9pyoDEXIpHxD7qhXB6rW+Ucm0HnrcIuA1gHsivLqZLMZVg6qb/q7AtqiwzT5LElXOLGPYwRKiotQ/GwPNMMJ+QWo9a2wPLjQMQEGbpU172rEFa2QLMhsfCnixy4xsEXaq56ftwrhn12sUKRs0kGWdAJw/OghBL3YE/UDTkt8uDPYfsyKBS6Y1VpxVvXm679Ht77nax/kBtAg59dP0fdv+Zy/kspgBEzYaepFUbW5JeOb15GQPUFqdroyGKVjN/lNAq42Pq783d793t8mUER1kUMzOit3BrPcsSvhVGMff18Ak7roESTv+VBilC/KjPPYIY/FWeo7TyK54C1JnlhI3GDCFtPsFnMGVOG+nWi5ULkwo3DkarRsF+6MGL9um/3zR+j3z2iJAd/Bzg2Hg3t2IGxRrOIPO4b9hoie8X4dO/aMF6yavhmnWNRijXwMluFyOXJCq51A9ryr0K9IrmST2uE+JN8nHyFQuwTjt9iRl4mIzy5RGLLx6q/QI145d2N8S7Wz4EzpaZTMDkejgGJJiYw+M5Bw46PaKeWFkdNeuRNJh76RJOeGJiF2/M9eGIkiayOQumgMkvd8IDUz+oINe+8H6y77BNEDh9SGQvd/1zr/yAS67kNE3wpqHcCu0Fk35zxEl66RupqhhN+W3JWI/OoqBY4jozegWVhbVxCxjxMEMr97E/Grxil6FNy+HB27KT9qnRBpmKZpn89D0vpZkr6H0ATNpmznKlw3PGhd+BAs+z6WJBxHAzRO2eOGRHN1VX9siBJLTSduNMWKSk96at/OzWjzrnISjc8ExwkfO3wQjRZ0Q2CVc9DzrvwcPZPk87Ecl2aOltnPXYl+p/6RjMmpn4y+4/yrdKM3PKl+Jz2O+qh4OBtNW7bxxnC6k7l19T/o+qXy/EjuDPaOm/z5CIYdM2IQUVEggU1tdyeSR77iHdB+KHX3tjy0/9CisDx7wGvod/lwv6OxOXs5un1zjWT3mco6CJxyAHWCgvyOhasG23sHW3f5p4geoJzrcFW+GfplLfs/xKU+LJkidpg1mLqb3+DVOHfV8zeg/4nfpb/uCWiF1pPy+Lt04sewcVYiepRtlHpYe02G5eannJBg/KZi0WfBrBh0qtgtc2hzOywPvG5843RiwbqVSxH9y20Kbcy4CC1z6VuIz3hScQ+vP2UX70kaxGHGi0ORcExevGBtdTMsD8mLQjVQye0ht8yMQ2T5VtPdp7TOPzKB7nZo6kfAzp078fLLL2Pp0qUQ/79evXqIjIzEzTffjIceegj169f3uLJaB7ArBu2Z3g3tKg9IXbOSXkLclXe7Iko3fcRuwzOz2iM0oFTSKXfQm4i9WHkmnW4UNpEi6+ech15VFmT4U6nf3dvWof2HAxTe3HrTMnTtrZxEM5G7vWrKlty/0fnLq1GnStKOZwwrkW9dY0XXJcokphnu4Z4OrLy0Zej5482SWFGuMGTafgQEBnp6KNPK2zqzL7qWb5fs8+czOE8eP4Lg57uhXsAZiUdG3zlIuF7eIWbaQPCyYepkixjO2moYLA8t8vLI+hCf+sEkJG9/VVJmd0BrtJuygfcqL7gnfcmLSFwjn/l9qrIeAsZtRWiDRl4YTT8id21Ziw4fDVQotGHIEkQlXKofJU2gyfrZA9HrzFrJkuz6A9Fv3A8msMw5E9S7p/chDG1StjgnhK2hnvxlxSllUKS+ORrJe+XzztfU64feE+Tz0BlCSgIbMn5F1NKbFP/or4t8XI2NfdMj0abyoNQ9a8BriPPDRVKpbz2K5N3v873V1UCqpZ96M8mWOl0ROSXLS6NpJ7ZwTz5aLuqjUIDVArXxx7o55yO6dLU0uBk2WKqPLd4R2BERJqi8pXX+kQl0bX6jHh9VJM1vv/12HDt2zK7sHj164IcffkCXLl08OrbWAeysMeVlZaiY2Up1Ltk36B53obOidNdePXFh7XAvLPe9oDs9zaRQ/oYshC++SGHSqoTn0X/IfWYys0Zbdk/vjvZVzj30t/KznnK0WASzY65FsVJQnFG67/bf0Kl7X08NYwo5ebOT0fPMeskWf1q04qgD1ZUxdga2R6epMjNH5fhzO/UZnKtD+qPP0/LuFX9is2rp2+if8YRksthRd+rRjWjSPMyfMHjN1sznb0T8id8k+aWVdXBwxAq07xLttTH1Ili9Az+t5Y1Ievg9vahnKj0OH9iNJq9FKxbpZSe/jH6DR5jKTrUx1o9SYNnyovTPhWiK5lO2caemh72uXqAh7mNFD6/zu2po1tdHwnLgM4nuhuBeiJqU6mHa5hdnfeMBWPZ/Khm6MSgK3SemcnHV/4ioF/CndrgHyffJ9znzR4hzFoqdw1tmJ6BbubyYZW29voiZ8Jdzgvy0teB3ZnoY6gaUyfe2a75GVH/lPJg/4BEbHiK/UpZC3nrjj+jaR7mpxB9YeMNGdcUgM89pF0zviY6VcqVJa7exsNwun13tDb6UeS6BXdN7oEPlPukPqxJfQP+r7jU0qg2ZvyHq+xsVNuy5Kx3tInoY2i6t849MoBs6fP5VPjc3FwMGDMCpU6fQsGFDTJgwARdddBGKi4uxePFivPXWv+UnoqKikJGRYWvjqUvrAHbWjv27tqL123GKboUPrEXLNh2dFaW79urVemvqxaH3hD90p6eZFFJPkhxGYzScsNmvzvxTl9Rm3LkW4daPp8OyWbngJTX8ASTf/axrAk3cy96xCfm3/IHwKOW93cQIajRNTHJkLrgVCcfk8tr8XTofDdnLPkC/1DFSR7FbM3hSgV8eF5A1/1rEnZQnGVeHxKPP03LC13m67FGVwJ4dG9HyvQGKicmshhcg7slvTQ3qxLHDCHkhUrGoNef8N9H3ElZP8pbj180ZhOjSXEl8ZuNLET92ibeG04VcdaIpvdnVSHxUPipHF0qaQInjRw+h7os9EFKlUom1x3hYbp1oAuscMyHjm9eRkD1B0Tij6ZVIeGyxYwLYSiKQ+/tixC4fpSDCJPG/OFh50LUfSsbXryEhR3k/4rnxjrHM+2Mxev6l/D3uvScTbTt1c0yAiVqJ7+y9M3soKpry3uQZB4vvoXbvJyqEbbj6S0TFK8+d98xo2ktJf3k4Eg9/JynC49F87xPxey6d3kpRZc8MVarExtHjszqjGY5LUNN6TkDSsKd9D9mDI2qdf2QC3YPO1EqUSJb/+eefCAoKwvLly5GcnKxQZd68eRg37t8zmqdPn46pU6d6TFWtA9hZQzak/4KoH/4jdTtdGYzgqftNsQtBPdnPs7CcjQ7n2pecOonTz3VHExRJHVPbDkfyqNecE2Tw1lk/vY8466OK31Tl+B0Iqe+5hToGR1Sr+uJjoel756N+wGmprSiz0258pl8txqgV1P8anC45haK5PdC86gth2H+QNPodR0WYtp34CEhbOAqWA58rbExrcT2SHvnAtHZ7wzCxW7P5670Uojde/RV6xF/sjeF0K7O46AQqn+uquD+l905B4k2P61ZnIyqmXgQpbDDDB3xNvlCXOhZVV848uRUNGjU1ogsNoXPaZ3ORlPeMpKv4Vqg7YRvqhXj+mC89ADlycC8av9pTses+57yF6HvprXpQz3Q6qKtpbK4TiW5TVpnOTnsGiXNbu/18B+oGlEt/Lq8MwNbrvjZFpTtfO7HoxFGUPh+DZjihGNra/UlYbpvia3V0Nd6W3JWI/Ep5HvyR0Rv8rtqDs06x+/3Y4jokPfKhs6L8qn3e8i/Q9bdRikWeYg4VEwtQr16oX7E4a6y6QkZ+YEeEm6A8stbOTPvsWSTlzZHUOILGaDx5u2nPBc/8diHis8ZL9h5HAzSYvNO09modX/bGP7R/F1q8oaz4tv++LLTu0FWP6jqlk/ps99yQBMQ+/atTMvTWWOv8IxPoeosIJ/URO8oTE/9dpTVq1CgsXLjwHAkVFRWIiYlBXl4emjVrhv379yM4ONjJkew31zqAnTUi8/tFiM98SupWENAOHaflOStGl+0P7tmBsEWxCt3yh/2O8J79damv0ZWyt8tg1/CV6BAZY3TTnNL/2OGDaLigm2Jycs3F76P3oBuckuOvjUXCc81zl6NPSYYCwYarvkBU4mX+iqVWu1MXjUHyHjkhLJIAgU9u8OvEi4il9NfvRVLhlwp+FZUByB/2Czr3SqiVKxsoCZxTRq7LGFjunOlXmLKW/R/iUh+WbBYJgWOj16F5q/Z+xcHbxopnKV6OVSzKE6V/e0xYacqSteLsv/3v347o0jUSWpZT9XaUAfa+FXIHvYnYi8256z/j61eRkDNJAisqiQSO38ZFnl4KtdV/LkGfP+9RSPeHHZ75G3PQ7NOr0LjKomoBwQy7fbwUKg6JFZsDYv95FIEBlYr2GX3nIOH60Q7JMGOjtM+fQ9L62ZJpuwLaosO0DWY01eM2qc+FFc+EM4+u45FE1ZDOW/4luv52vyJ5Lpoub3kLBj38psf9YxSBGzJ+RdTSmxTqshqe+97LffYyxBanS4IymlyOhMf/675gnUqwVx2XxwH41lmbc1ag29dXS4OWVQYiYMpBUyxiyFz6FuIznpRsK6kMRuW47Qht0Mi3kD04mtb5RybQPehMLURNmjQJc+b8u0rLarUiKSnJrhpz5861lXYX188//4zLLvNMYkbrAHaWeeqHU5C87WWp25p6/dB7wp/OitFt+30pXdEGhfJLR58ZSLhR3h2sW8UNqJj6HGazxZIzLtk4KxE9yjZKXaxtboflgdedEeG3bdWLegQI7hauPRz25m9E63eTFJNqadFTkTRUPqe5dinmaVFRXo6M1+9B0qGvFUaJZGd2/2cQf+2D5jHWh5akvTJCwXRPQCvs6f8U+g6+C0HBdX2oiXZDZb5wE+KPy6uVmeT0ni+sH8+AZfPzigHMdka1KCmX8d/nEL3hZTQKKFbYao18DJbh070HmJJtBDbMTkbUmfUSjfSmVyHxMfmsYTNhypp3NeKKVkgmZdcfiH7jfjCTibqyRfy+D83qhlY47DffBKJaTfEbF6F95X7l/azVMFgeWqQr/xhRmfQvXkDiWuVzQUxwrz3vNfS97DYjmuS2zhkvDlMc05TZ+DLEj/3Cbbn+IODA7u1otqi/4ugYa+TjsAxP8QfznbJx/Yqv0fXX+xSljYWAfxpdgYRHP0ZwUJBT8szUWHx3F86MVDzrePSeex4WFc8CnuusOAYmM2E+4ofc755gnfdWn7/NKiu+dZi6Gto+tESblK2+VcJLo4nF+Q0WdEdQQIU0gtEXTWudf2QC3UvB6iuxgwYNwooVK9CgQQMcPXrUVsbd3pWammo7J11cooS7KOXuiUvrAHbWBvVkuNkmjbLmX4O4k8slLOnNr0HimI+cxcT2tRDYkZeJiM+UZ/FkJb2EuCvv9kt21rfHwrJLLp+9tU5ndJ2S45csnDH62KH9KH8lXlGK/CCaod5jq9C4aQtnRPll25xnB6NvsVWyXcRdl0lZptytWZODxUd85qt3IvHI94pmYoIxJ/E50394ejP4Vy19G/0zzl2UsQ9h2NF9BGKufhgNGzfzpgqayhblLs880wUNqyQ603pORNIwudycpgqabHDB+9CzfdGuSiJGVEpqMyEHwXXrGd7aTVl/IXDp44gsP3diQiz22TdiJdp3UZbRM7zROjTA+vF0WDa/IGkmduCtCRuCut0uRJf4K9CkRWsdau28SiXFRaiY21l5/ETsTCTeMMZ5YezhMIHUN0cjea/87Xkc9ZEXdhWCIy9E1/jLTRNfAog4ziv/hUvQo0y5+ze7/gD0GfudKXYwOex4LzZUb4AQQ4kS0lsu/wDRA4d4cWR9it45oxc6VeyWlGOlA+f8tOr569H/xB9Spz0BrdF60nr+XqtgXP/3N+jyy72KZKb4s7XR5eg/5hOPVTN1znP6ap326j1IKlxSZR6iC7pOydaXkgbSJvf3zxG7XE6Wi3mMokc3mb46RPqC25B4ZKnkKS709G3QWj+dA8vGZ6VBRfW3qEmpvlXCi6Otnz0Qvc6sld8XDH6so9b5RybQvRisvhAdFhaGwsJCxMbGIien+oTVkSNH0Lx5c5tKQ4cOxeefK89HdVXXqgH8zYtj0Kp5Y1dF+aRfmx1fI6JipzRWaqdRSL7nOZ+M7YtBrB+lwLLlRWmovQhDfhee8+dp9vX3/IM+JZmS2EI0RZOJm0wxwe0Kq/XWn9Drp2GKrqkRDyIg0DNHRbiikxH61N+Tek7pdrPtNvSmH3L/+C9i/7pPGXdt70RAqH+dn1t3fw7iiuSFUwKI+OjMTXoB/a/yz0U9noo7scgl+OXeigRMVdkiMbC+1TVAQ3MknNTcAo7vUhwJII4DODwqFy3bhXsKMeWoCNhbtJHR9EqUN+9maFaBh7cg/siP55TiFUaJM/82J8xA/yHK+7mhDdax8nt2bES79/89/kt9id/4tqAuKGyZCDQI07EVtaumvn/x+InamXmiRX7eKoR/dnEt8ZUANGjlieE0lWHvPX5zUDe0f+w31G/YRFPdzDa4deFDsOz7WGHWycpQrOl8l199b1ZWliN5+2sKDpuv/x7d+p5vNpd7zZ4NaT8j6sehCvlpLW9CZWMeTWSDUlaC2Pz3ERpQqmTU6FLEjVnM5Pn/qKxbuRTRvyirYKR2GomAoBCvxa6ZBTfcvRwxp+V8xvrgGPSatNLMJttsUx8LKr6J1nfuZsYpAAAgAElEQVS51/R268VAddytanQR+j+hrOioF11d0UO9AFFs1tra5Q5XRGnWJ6h5R8RfPdI2PhPomrnB+AOXlJQgNDTUZsiQIUPw/ffK3WdqCxs2bIiioiJYLBaIHemOXCJAa7r27t0rncFe8HhDdGgc6IhY3bRJj52FPlfej8pK5dlaVRUU58Wf3dkvzpM/ffp0jfrXq1cPgYH/cigrK8OZM2eqbR8QEICQEPklS7QVfaq76tSpg7p15bKxQheh09lr86rf0edX/yxnpmVQrWxzB+JGzJNUqM1Pal1FfIk4O3sVFyvLmqrbixgQY4irvLwcpaXKDxx1+7P3CfHvtcWYiF0Rw2cvIVuMUd1l+21UVqB0dic0CCjR0g2GH1vsWOn75FLbDmpv+KlqjInnh9HvexUV5Tg2P06xW9PwQeABA85U1kF2wjz0vuTcZ4GWzyej3vfy/vkerf+edE55Vg+4ynAi8oKjETH2txr11tvzyWj3vcqKChS8eJHiWBTDBYoTCqc3HoyIYc+hVfsIqZcZnk81vTPp4X0v//kLEFXl6B0nXGbYpuL+1XPSPzb91d9PRn0+2XOG+ptCi9/Tzucv8Jt7WFUfiOo0QQ/8jpZtOtm+zWr7fjLa8+msrVp854pn45pF9yHpGI9gqBpz4kzT0rFb7C7i18JPNT0gvD0f4ejvScTSnhfOt1sNx7APOC8rntbgIvQc9eE5yXNX5o0c9ZMwSc/zsEUnT6B0fk80wwkv0/dP8SvDH0LcLVPh6flyvb3vHdi1FeEfD/RPJ+vQanEUaf97F9SYkzHSfW/nhlXo8Y2xK/WsC+6NLmN/sUXLoUOH0LFjR9v/LygoQIcOHXwaRdyB7lPcnh3s4MGDaNXq39Xbw4YNw+LFi2scoHXr1jhw4ABiYmKwZs0ah5QRDyxHLyMm0Nde9hF2n6wLMblQ3RUfH4/27f9dkSoSm+IM+Zquyy+/XFrYsHv3bmRmyjuV1f1E8nzw4MHSP69duxZbt1Z/5ka7du2QkJAgtV++fDlEdYGzV9mZUly7ZpTiXCdH/cd2rhEQu3W+iJyPeo3lnTq1+Uk9UnR0NCIjI6V//uabb2pU5vzzz5cqShw+fNh2jENN13XXXSf9ecuWLVi3bl21zZs1awZxNMTZKyMjA3v27Km2fdeuXW33lJznrkDfU44tzHGNtLl7nawMQdH9/6B1h642Q73lp7MUly1bZor7XuWmH3B9Uc3PPnNHjtK60so6+LrVI6jXIc6u2Vo+n4x83xML1c7szkJ04VJEwxznYrnyuxDnsu1v0Mdwzyej3feK92/ELXtmu+Iiw/TZhvZIbzcCoa2jcPY9wmh+Evoa9X2vpHAHzit4Be1x0DAx466i1q6PwnLHDJsY9feTkZ9Pat318HsS8TVo5wK0DTjkrtsM0/9EZSgO3fI9InrG23R29PuJ971zXVzdd65YONt67esYUJ5hmLjwtqKrA3pge99Jdocx6vNJGOPqfISjv6cmJ/Nw4eZnvO0eU8hfUceCwuhRCPzf5o2qRnnbT3qfhy1b8TwuPvOnKfysNyM+C5+NkOYdbZvNPDlfrsf3vf5ZT6BDgP+8j+st1qrqY+0xDi0ThnllvtzR55Mn73uVFZVIyhlr6Pfx3ICe2NF3gg1f//79mUDX8w9Iz7qJFRedOnWyqXjHHXfgww8/rFFd0Vb0ER/WIjnjyGXmBPpRNETIuI34a8VKUySSzvqz1eqXkVxefdLeEb+zjeMElgcNwJHeDyg6+OMHq71y2o5TZMslje/CTWMXSCCYQJdjoqbf05niE7ggbxLCAo76fRCVVgbhq9ZjENK+b7UsmEC3j8bRCSDxEXL64GZ0LvwF8afT7ZajNmsgHkFjVDyYir+tq2o0UY8LvLT4YFVDcnYCKGzdmxhQar7SheK87V8aXo/yLoOl80b1kPA76y9n/WTk970mjRqhXdNAHFrzCxru+QeRJWvPKdlqlvvZscoGKB31D8La/VvpgAl02bOenKirGi8V5WWoPL4LbbEXjfamIrJk3Tnn6ZolvkTlnx+7TMG1Ix6XTGICXfauJxeKV5SdQfjaFxBXWf1icLPElSN2fNVoOAIjL7fb1MjPJ0ffy88a7ux7RJ+YaAR9dA06Vla/ScAR/mZvkxYyEHu632c3eS5s97afvPV8Erp74n1v75Zs3Jg/nZuXPPxDEAuDtvWZiIDAf6u1mj2Bjk1LcV3RZx6mSHHOEhBHIO65/Q+UBjY0TQLdxsDg8cUEurORzPZ2CfhiB7ozJdx/evo8tG5SzZkvAQE4u5fdViy9hpLp4s9VE/f/Nq2+xDoQgKob5R1pXxrSAmGXPYbO0Um25LnRSxlXDZCTxw5j85ezUP+4WCShZlMTRxt4XflJ6VfP6u6+rUBRi2j0uH48GqjOufPXkmmrfngHleu+QVB5DSXonYwx9/3k2XuHp2OyPLAeSrtehr5XjZQqV4jfM0u4y3e12n5PojTRkeULEVK8/3+d/O++dya4ERoOegjh0QNqfGNiCXf7eFwpxbVvx3rs/u1NhBzbajvGosbL4Pe90vqt0GzQKNsZm0Y7YsSopSLPnC7GuiVzEFq4BgGo/N9rszPPM8++M3nivbyoSTe0v+QBtO6oPM9dDyWnz/5+zV4qsup9Sn3fO3n8GLbm/ImTG/9E6JENCKxQHynl3Wert973TtdriUYD70WvxEsl81nCXY4EX5XIPV1yCpsyf8fxvD8QemS9nfiyzQA4/U3v6ffyqr8RR+574v2rbsIIRCVd4fQRWEZ9PtX2Xq5+H/L0UWUlp05i/Zdz0OCQSKJXen3eyJsx5up9ryKgDorbJyP2+rEIDPz3WDf1pbWf1PropYS70Ev89vbv3IxdP85HvZMFtc5NuuonedrTmfc3Z+c+Pf++J+KrpF0SYm98CgEB1R/R6cr3k9nue3krv0V57mcIPqMu5e7ddyZHnk/yb1Bfz9aafk9FTbsjfPAYtGjz70ZBf3gvP1N6Gmu/ewWhu/9BIOSjMx3Ja+jx+WTE+15ZcCPUS7gDvQfdYLp52PKyMqz+5iWE7l6JgMpyw70ziXtC3Ij5tvsBS7jXPOXIv9ZAwBdnoNfmAJFg1/IMgtr0499JgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgASMQ0Dr/CPPQDdOrNjVNCwsDIWFhYiNjUVOTk611ohzsps3b277+9ChQ/H55597xHKtA9gjRlAICZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACZCALghonX9kAl0XYeC6EoMGDcKKFSvQoEEDHD16FKJElr0rNTUVAwb8W9p16tSpmD59uuuDVumpdQB7xAgKIQESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAES0AUBrfOPTKDrIgxcV2LixIl45plnbAKsViuSkpLsCps7dy4mTJhg+9uyZctw+eWXuz5olZ5aB7BHjKAQEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABXRDQOv/IBLouwsB1JdLT06Wk+ahRo7Bw4cJzhFVUVCAmJgZ5eXlo2rQpDhw4gODgYNcHrdJT6wD2iBEUQgIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkoAsCWucfmUDXRRi4p8TZMu6ifPvy5cuRnJysEDhv3jyMGzfO9m/Tpk1DSkqKewNW6a11AHvMEAoiARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARLQnIDW+Ucm0DUPAfcVyM7OxsCBA1FcXIyGDRtClHW/6KKLbP+9ePFiLFq0yDZI9+7dkZmZiUaNGrk/6P8kaB3AHjOEgkiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABDQnoHX+kQl0zUPAMwp89913GD58OI4fP25XoEieL126FJGRkZ4Z8H9StA5gjxpDYSRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAApoS0Dr/yAS6pu737OD5+flYsGCBLVEuAqtu3bq2hPnQoUPx8MMPo379+p4dELCN07FjR5vcgoICdOjQweNjUCAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkIB/ENA6/8gEun/Emdes1DqAvWYYBZMACZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACficgNb5RybQfe5ycw2odQCbiyatIQESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAH/JqB1/pEJdP+OP7et1zqA3TaAAkiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABHRDQOv8IxPougkFYyqidQAbkxq1JgESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESsEdA6/wjE+iMS7cIaB3AbinPziRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAroioHX+kQl0XYWD8ZTROoCNR4wakwAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJVEdA6/wjE+iMTbcIaB3AbinPziRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAroioHX+kQl0XYWD8ZTROoCNR4wakwAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJVEdA6/wjE+iMTbcIaB3AbinPziRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAroioHX+kQl0XYWD8ZTROoCNR4wakwAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJVEdA6/wjE+iMTbcIaB3AbinPziRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAroioHX+kQl0XYWD8ZTROoCNR4wakwAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJVEdA6/wjE+iMTbcIaB3AbinPziRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAroioHX+kQl0XYWD8ZTROoCNR4wakwAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJVEdA6/wjE+iMTbcI7NixA507d7bJSE9PR9u2bd2Sx84kQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAL+S2Dv3r1ITEy0Adi+fTsiIiJ8CoMJdJ/iNt9gGRkZUgCbzzpaRAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkoBUBsYE3ISHBp8Mzge5T3OYbjAl08/mUFpEACZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACZCAHggwga4HL1AHpwiUlJRgzZo1tj5hYWEICgpyqr+/Na5acoIl7/3N+963l/Hlfcb+PALjy5+9733bGV/eZ+zPIzC+/Nn73red8eV9xv48AuPLn73vfdsZX95n7M8jML782fvet53x5X3G/jwC48ufve992xlfzjEuKyvDwYMHbZ169+6NkJAQ5wS42Zo70N0EyO4k4AyBXbt2oWPHjrYuBQUF6NChgzPd2ZYEaiTA+GKAeJMA48ubdCmb8cUY8CYBxpc36VI244sx4E0CjC9v0qVsxhdjwJsEGF/epEvZjC/GgDcJML68SZeyGV/GigEm0I3lL2prcAK8QRrcgTpXn/GlcwcZXD3Gl8EdqHP1GV86d5DB1WN8GdyBOlef8aVzBxlcPcaXwR2oc/UZXzp3kMHVY3wZ3IE6V5/xpXMHGVw9xpfBHahz9RlfOneQSj0m0I3lL2prcAK8QRrcgTpXn/GlcwcZXD3Gl8EdqHP1GV86d5DB1WN8GdyBOlef8aVzBxlcPcaXwR2oc/UZXzp3kMHVY3wZ3IE6V5/xpXMHGVw9xpfBHahz9RlfOncQE+jGchC1NRcB3iDN5U+9WcP40ptHzKUP48tc/tSbNYwvvXnEXPowvszlT71Zw/jSm0fMpQ/jy1z+1Js1jC+9ecRc+jC+zOVPvVnD+NKbR8ylD+PLXP7UmzWML715pGZ9uAPdWP6itgYnwBukwR2oc/UZXzp3kMHVY3wZ3IE6V5/xpXMHGVw9xpfBHahz9RlfOneQwdVjfBncgTpXn/GlcwcZXD3Gl8EdqHP1GV86d5DB1WN8GdyBOlef8aVzB6nUYwLdWP6itgYnwBukwR2oc/UZXzp3kMHVY3wZ3IE6V5/xpXMHGVw9xpfBHahz9RlfOneQwdVjfBncgTpXn/GlcwcZXD3Gl8EdqHP1GV86d5DB1WN8GdyBOlef8aVzBzGBbiwHUVtzEeAN0lz+1Js1jC+9ecRc+jC+zOVPvVnD+NKbR8ylD+PLXP7UmzWML715xFz6ML7M5U+9WcP40ptHzKUP48tc/tSbNYwvvXnEXPowvszlT71Zw/jSm0dq1oc70I3lL2prcAK8QRrcgTpXn/GlcwcZXD3Gl8EdqHP1GV86d5DB1WN8GdyBOlef8aVzBxlcPcaXwR2oc/UZXzp3kMHVY3wZ3IE6V5/xpXMHGVw9xpfBHahz9RlfOneQSj0m0I3lL2pLAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiTgJQJMoHsJLMWSAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAkYiwAT6MbyF7UlARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARLwEgEm0L0ElmJJgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgASMRYAJdGP5i9qSAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAl4iQAT6F4CS7EkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQALGIsAEurH8RW1JgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgAS8RIAJdC+BpVgSIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAFjEWAC3Vj+orYkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAJeIsAEupfAUiwJkAAJ6JnA22+/jfvvv9+mYkFBATp06KBndakbCZAACZAACZAACZAACZCAAwRSUlIwffp0W8vKykoHerAJCZAACZAACZAACZAACZAACZCAmgAT6IwJEnCQwJ9//omLLrrI1nratGkQExO8SMBVAlXjyREZ7733Hu666y5HmjrUhgl0hzAZspE6tho2bIj9+/ejfv36NdpTXFyMNm3a4Pjx41K7P/74AxdeeKEhOVBp3xP4+++/cf7550sD//XXXxg0aJDvFeGIhiPA+5bhXGYahfl+bxpXGsYQX8QcE+iGCQeXFeU7l8vo2LEWAkVFRfj444/xzTffIDc3F4WFhQgKCkKrVq3QunVrxMbG2r4PL7jgArRt25Y8ScAtAseOHcNHH32EpUuXYv369Thw4ACCg4NtsZaQkIBrr70W//nPf1CnTh23xmFn8xJQf0cOGzYMixcvrtFgMbf6wQcf2NpwoaF5Y8MTllU3dy/uSY0bN0aTJk3QsWNH9O/fH+eddx6uueYa1K1b1xNDU4aOCDCBriNnUBV9E/DFZIe+CVA7TxJgAt2TNCmrKgF7sSUmQW677bYaQYmPjFtvvVXRhgl0xpYzBEaOHIm33npL6nLvvfdCLNbhRQK1EeB9qzZC/Lu3CPD93ltkKbc6Ar6IOSbQzR9/fOcyv4+1sDA9PR0i+bRjx45ahxcJzn379tXajg1IoDoC4jvx6aefxqFDh2qE1KtXL7z55pu25JSnr/fffx933323Tez27dsRERHh6SEoz8sE1N+RAQEBtsU/vXv3rnZkJtC97BQTiXd27j4sLAxjxoyx3dvE4jNe5iDABLo5/EgrfEDAF5MdPjCDQ+iEQNV4evDBB/HQQw/VqJkosd60aVOPac8d6B5DqTtBVWMrJCQEJSUluOKKK/Djjz/WqOuQIUPwww8/4Gwf0ZgJdN25V7cKnT592lbB4OjRoxBVD06ePGlbkSsm1kJDQ3WrNxXTBwHet/ThB3/Ugu/3/uh1bW32Rcwxga6tj709Ot+5vE3YP+Vv2bLFtoPubDWyszt/u3fvbttNJ3aii6TUL7/8YvtGbN68ORPo/hkqHrH6qaeewvz5822yRJLplltuse02Dw8PR2lpKTZu3IhPP/0Uv/32m61NvXr1bDvVxW50T15MoHuSpjay7CU4b7jhBnz55ZfVKsQEuja+MuKoNc3dizmvI0eOYPXq1bZ71a+//ipVNEhMTMT3338PkVDnZXwCTKAb34e0wEcEfDHZ4SNTOIwOCGgdT0yg6yAIvKRC1di6+eab8fnnn9tKnu3atcuW4LR3iVJp7du3R1lZmW3XwWeffWZrxgS6l5xkQrEizkTsiOudd96B2H0uLjHxISZEeJFATQR432J8aEVA6/cxrezmuNoR8EXMMYGunX99MTLfuXxB2f/GEO/xIrbE9e6770q7cu2ROHjwoK3t6NGj/Q8ULXabwGuvvYaHH37YJkeUPv7uu+9sRwPYu8S8xJ133mlLqouFHGlpaejbt6/bOpwVwAS6x1BqJqjqe1XLli1ti33EtWrVKsTFxdnViwl0zdxluIGdeW9ft24d7rjjDmRnZ9vsFFUzRGKdJd0N5/ZzFGYC3fg+pAU+IuDMTdNHKnEYAxPQOp6YQDdw8NSietXYEn6ePHmybXfACy+8gMcff9xu7wULFuCxxx6znTU2e/Zs3HfffbZ2TKCbN048bdnZCgaixJ74cIiOjradY3fllVfaKhvwIoGaCPC+xfjQioDW72Na2c1xtSPgi5hjAl07//piZL5z+YKyf41RXl5uqxx16tQpxMfHIyMjw78A0FqfEcjPz0dUVJStSp6oWiYSTZGRkTWOX/WouZiYGNtuT1Gm2xMXE+ieoKitjKrvVTNnzsSsWbMgKrVcffXVtsUZ9i4m0LX1mZFGd/a9vbi4GAMHDpSS6C+++KJtrpWXsQkwgW5s/1F7HxKo7aa5d+9efPXVV/j9999tpa327Nlj280pVsCJjxBx/vDQoUMRGBhoV+uq8s8mrcSqXnHWj3hBFKVBOnXqhOuuu852loYomcXLuARqiydHLbNarbYzhv/66y9bzIkPCbGK95JLLrElS7t27WpXlDqBLuL05Zdftu0W3bp1q01Oz549MWLECIgz9sQOZl7GIFA1tt577z3b/UO8tPXr1w9ZWVl2jRDl+sTfRMz06dNH2nFgL4G+du1afP3111ixYoUtUSp2IAQHB6Nt27YYMGAAxJEEFoulWljqSd1jx47ZYk+U2BLnjon/FnqLjxpexiBQtYLBnDlzMGHCBIj/nTRpku3esXv3btviDHuXOh5ECXgRr1988QXEBItYrSti8v7778ftt99eLRBxXp1oL+5ZYiJErDh/5ZVXpHuj2LVQWVlpDKB+qKVe71tnzpyxPVP379/v0FEY4v549rw9sRhp4sSJfuhNY5lc0/uYo5Oq4qzYzp072wy39/w6O0knypKKtuI+Jxa1LVmyxPbf4hkq7nOjRo2q8T5nLLLUtjoCvog5JtDNG3/uvHOp70XVUXL03ie+BcQ728qVK23v7+3atcPll1+OJ5980pYQu/DCC23vYRdccAFE3PPSLwGx2Fp8y4lLVI4ScwLuXGIe7IMPPrA953JycmxnXDdq1Ahioe2NN96IBx54wHZsmL1LHTeilPfzzz9vKx0v5tyaNWtm29U3duxYJCcnu6Mm+2pAQMw3vPTSS7aR582bZ7tfOHKJZOjSpUttTb/99ltcc80153SrqKiwVdIT35FiEYiYp6hfvz7EcYhivkNU57v00kttJePtlf22pwc3FDjiHW3bqL8jxbyWmAcQl5gvTUpKOkdBRxLoIn7ERhMRd2KeSiz6EBUdzz//fNs7u7gPqS9x3zs7jyXuWSLearrEUZ5vvPGG7VtA3N9atGihLUyOfg4BV+buxTypmBMQ80+i0qeIH+Fj9SXKv4uKHCLGNm/ejBMnTthiICEhwTavJZ6XtV2iz6JFi2wyxAYWIVPIEHMY4nkqqstUV4mhNtn8u0yACXRGAwk4SKCmm6ZYsSsm+cULW03XZZddZksSiZWW6quqfHFuhiib9cknn9gVJz5IxQdrdeWYHTSJzTQk4MpDuKq64qNUlEwTD8rqLvGAXrhwIe65555zmlRNoIuP2rvvvltaIaduLCY9xMO4QYMGGhLj0I4SUH9AiHJoZ1+YRHJH7AyueomXrLP/Jj42xAIgEQ/iUn8wOvqhKRb5PPPMM3ZVrjqpu2nTJttEm0ggVL2YQHfU2/poJyZPxSSWWHgjfCkWe4lktkgoiY8GMekl/m7vqhoP27Ztg3hOikU89i5x5p2Y0BOTHuqragJdLOB45JFHbIvYql5MoOsjXuxpoef71rhx42wTfGIB5M6dO20fwdVdIs7F70EsHBG/gZra6tcb/qWZL5KZVZNWP/30k60yh/q5d5a6eLd79dVX/csJfmatL2KOCXTzBpU771yeTKCLRWJTpkyxuzhRJEpFAksspmQC3RixePjwYSlxI1INeiEAACAASURBVL4dxfyAq5d4jxdnWYtvzOqubt262eYXxP+qr6oJ9PHjx9s2oRQVFZ3TTryXifez6r4xXNWf/bxHQHyLiY0bIt5CQ0NtCcMmTZo4NODPP/+MwYMH29raO99avFeJf68tds/Obzg6r8EEukPu0bSR+jtSxInYSCR2Aou5pmXLlp2jX20JdBFv4t5z/Pjxam0T7+xiI0jVTXIimSk2DoixxRhiXqu6S8xViIVLouS8WBAiFobw0h8BV+fuRRyKOBKXWGgoNhtVvUSVRrFBRCysru4SFYdEBQ57OSTRR+SObr31VunYgurkcB7M/bhiAt19hpTgJwRqummKB1+9evVsq3vEpJhYaRQWFmZbPSQSAm+99RZSU1NtpMT5PWJVmvqqKl/cWP/55x9cf/31tvZix4rY/XR2ZZLo64mVwX7iOl2a6epD+Kwx4kF7doGFeKiKCgdnP0DFR4OYXMnLy7MltL7//ntcddVVCg5VE+hidZtYoStkiPNaROyKld5id5TYxVndR4ouwVIpxWrqs4locU8SyXMxCTF37lwFJbFbWPybSKKLNlV3nag/GMULmrgviZi7+OKLbeXXRLk/sRtGrLIUHxAiaSSu6s7OqzqpK3bciTgVuxDERIvYUSBWXop7HncUGCeYxTl0YuHFoEGDbBOlZy/x32KxV00TcVXjQdyLxD1HVL0QyXIxoSIqKDz77LMQiy3EJRLjIs7U19kEutjZIu5fYsWt2NEgdhuIRW5CD7Gwg5c+CagnPsSEg17uWyL2evToYQN3tsKCPYpit7pImIvdCjy6QJ9xZk8rXyQzz07Siferpk2b2o5VefTRR227Us6WL50+fTp27dplU1Ek2c9OEhuHJDV1lMD/t3d+IZdV5R/fZTEV0kSCFxUFEWNSWaGVVApaF0FqgZliQ4KZoVaM2mSKGf7DmkYdMMqKuahJIzX7o2JkFpqNln8iFJEUqZy8SKqb6qKr+Kwfz/tbs917n33Oe/Z59zrn84DMzPvus87an71ce63n+zzPWsSYU0Dv+zTKu249a655CegEM7JvxFi7s79gzYex3oq9BnMe71Az0MsYZ7GWprc8w+3bt7dWT2y7IwRRqp7huyKQgjU97zoEJaoUICaQ0Ump+Ne//vWpAlpdQA0BHd8Gayoc/4wxfo6xP2VvEMIWWe59svTKeArL3cu8UhPrHNY7fS0/ZoC5Bf9DGOONhAEqMmL4KcjexFeBP4zsTyqF3nzzzakqAmOJoAx+/pOf/CQdeYchtFJJIzcCwk0k6fuUNua6pn3k+eefn/yZ8V6qZ4t3Cej4U8lap4IdSUkI5VSCZRxw5ADzI2MHI9Ca+Sg3fPVUQsBPxthsq7ZBEBGVFTBEUjKFtfERmNV3T4AX4yPeqbzHwqhOgL+AeY13L1U8GXOMGao3Mn6+973vpct5vzFv1Y13IQEi6FEE7+PLZ5ySzEK1BILY7rzzznSMAWNZWx8BBfT18fPTK0Sga9JkUU+kbdfZPV/60peqyy67LC3gcO7Xo23rEZCc20L529z4ng984ANp40EGHgtEFo9aeQTy583LktI9bXbwwQdX/BfGy5RFGdYmUhLxyAsZMYvoS8ZcXoY9F9BpZ8eOHWmTnBtiAG3cfffd6cc6dMsYZ00bCJ4vCzbKlyFwR5Qscwpi9TPPPJM2AlzTJaATHcvcgwDQZCzM2ASwIKRd5sV6+f/cqUs/GFdkHWtlEnj00UdT6WGMihiUWg/j35Q3wxDCo7R1fqf5eODnBAYRRZsbwWiUSkOkZ8ywqa23lTv9+N29997bOk7LJL3cvR77vIXznzHF2i2COepPhGN8woFL5t2JJ5643A9tSe5uEWJm7qTj/Xnfffc9rxrMU089leY1HB4ElOHQ1ZaTwCLGnAL6co6d9a655iGgc64szlnEK46UI0lgy5Yt+wHnPUkgLFmmmAJ6GeORilF5OW32cmRF8ixx7LcdDZffHdcTvE8gK3MdInndEKBY1yNgIlxyZnFuIaDzM8R1xhhHy+VG4DZJJ4joCJ6IWVSE1MZN4IYbbqi2bt2aOhlHfk3TY555JCYhMoXYTeY5R8xhiJkhWtXbZszhryDwJ6zvkRXT9NNrF0ugaR9J8A3BDzzzY445JgVQ5NYloL/zne9MCUb4scgSRqTMjRLZCPIIlPgm8HPkVR4RLFnLYwRtkBjQZJEURTAt71SqMmjjIzCrgI4fPUr4UxV29+7d6eYYk7xPCa5gbOFD4KiJupGISRAaRiITx7SG4e+nDYLW+CzBGBFkVm8HXy/vZG19BBTQ18fPT68QgVknzUBEZBEl1xGgdu7cWRERl1vePhlzvLAR2+tGVCQiOoZzLV7MK/QoluJW+5aM4mYJvsARFhaZB5QUuummm1p55E6WeiZxLqATrfvQQw81jjfEVgJDiGrToVvG0GvaQLDBxNnFMRNsHthEYIwLIrRZ+POsEdi7BPQ+BBA5GaMY44r5LLfcqZsvJPu07TXjI4CjDYcbVVjIqsyDKyhHxXsPZyvvPN59dcvHA8EXbDib7He/+93a+WUEHFGRJbdcQEfoxDGnlUNg7PPWnj17UkUgDPHzPe95z/Pg8o5k/FKakjlXR24Z428RYmbupKOCBpU0mozgITJQcOyG8FQGRXs5DYFFjDkF9GmeSDnXrnfNNQ8BnTkqAh3JJP7sZz/bCJC5jkobmAJ6GWOMfSKBsAToNxlZ5DjoEX1Ys9d9VXl28SQ/FUHbBHgjgLJmyi0X0Jv8ZnFtBIjzb3wi+Ea0cRNgzti2bVvqZNf80XYXuVAewdlPPPFERQUyEgPIvgwhvS8JBfS+pMZ7XdM+kt5SfS6yw3MfGL9rE9BznwOJAByJ2WSU5I6s9rpvgkQkSrP//e9/T9UbEUjrhojKnMqfbVVqx0t8tXo2qxZE0gcVWbD82AmO6mIvSGUCfLB5slydLMFrjEneu5GRzjXf/OY3UxVPjOqzMa+u1pNZ7N0qoC+Wt99WMIFpJk02HwgJZM3x8gyjpAaTKH9+97vf3Y9G3n7XebEI8JF17kRZ7oCaVUDn/FWiwbGuaMYggxMWEatedjYX0CdtXgjYIHCDMmy0lZ/xU+4TWN6et20giH4kCpLzzcMxgoBNmXdE9Kg0MI2AjjBK5OS//vWvJM5jBFvEQpEoS74jt9ypy3fy3VqZBAgMI5qVyNe20lL8nE0jm0iiX7sqEkwqwfjmN785HRVAphNVNXILAZ3+ME9qZREY+7xFlDdOXt6Bn/jEJyreobkxDxKAxPzHBpb1mVYGgUWImeGkQ2wgI+aggw5qhINQENWAyG5pq/ZSBll72UZgEWNOAX35xt881lzzENARWHkHsh/EL5FncubUCQIioAxRSwG9rPFIdTBKH7NPi/1d/Q6OOOKIFPCVZ6VfeeWVKaOcbDgyw+tr/ryNvHQx6/Y8Oy4EdN6ZZGUyjpqM9ykCFGOMLD0EBW3cBKiy+cUvfjF1knmENfU0RvY6WexYBLQyViM5ifcr8800poA+Da1xXtu2j0TAJgsdvzzBz4yZsDYBHb9pVIJFuOSIuTYjcIPjCJt8E4jq3/jGN1JANfvE+pqeqnuIohi+1nqW+zhJr2avptGCckJUF4vKw/hiqdKJUX2TjPI+x1iwL2R/SDUXqnuGReA+71vehU0Z7Kv5tIa7awX04dja8pIRmDRpsnBnMYdg9Nvf/rbC2dpmTWdj5u2zoaifWR1tsYmJzQgl4WMBumS4l/52Jo2nNgAITG0lgLqgkR2AUB6WC+h79+7tPG/6kksuWSut9vTTT6dFqDZeAm0bCIJ2OAuMQAgW8RjZwTg44qx0fjZJQCdKlqwSnCaImTj02qyphFru1GWx1+YUGS9hexYEOFMp3lW33npriqytGz+PUtZNx0Dk46HuQKu3FQEfONQoc5xn+IaA/sEPfjCVjtTKIjD2eQuanH/39a9/Pc2hBI3k5yHmwmfbcQVlPZHV6e0ixMz8DPT8zM46ZYLbwpk8aT5cnSe0fHe6iDGngL5842Yea655COiU837ggQeScIpzuMuoYobDVwG9zPFIIBdZllQUe/jhh9P59pxjHkZwLD/nTyzPDp7mjusiVQjodcGgqU2uoXw7pb3pqzZuAnkG+q5du9aqVPTtNdm8ccRNrLdJTiIzk7OqEUqpijaNKaBPQ2uc17btI+lt7svMfRFtAvqpp55aff/7309+BvxeHF/YZiSmMH6afBN5hjqluM8444z9msFnQXl4goCowtEVcDRO6qvTq1l99xxXQrVXLE82iSS3aQgikDMewwg627dvX3X00UenY1u14QkooA/P2G9YEgJdkyaOfCZENrZ9jE0BpZNzy9uvl9uutxnlsuqlvft8t9eMg8CsL2GiGLvOS2+7OxZsLNzCcgEd50fXmWaUSv70pz+dPtpUknscRO1FEGjbQJAlzgL9P//5T9oUEPTDBoGzlhDUEYWwLgH9T3/6U8oYx1HRx3DgMk/lljt1ydZ0s9CH5DiviXLDRFQzhppKVlOlgEANMncZb5E1EHeUjwfepV1OD87K+/KXv5w+SpUXxnNYCOhkJlBuWyuLwNjnLWjmZdi+853vrJV053ece8c5eGQp4AjWyiGwCDFzHqJVOUTt6SQCixhzCuiTnkJ5v5/Hmmsec9Eb3/jGVAUIIZ0g7C4LsV0Bvbzx1tRj1vRkTZLti7iO5VV5yPCcNCaa2q1nDYeAfuSRR66dd91GMMYY45JMUG3cBBC6EbwxymtfddVVU3U4njcfijPQSU5CGGVfyP5wWlNAn5bY+K7vEtDxQZAAxJ+cbU6yG9YmoEf1TfwXBEx3WZdvAl8bAT74z+r+f6q3EHiEL4yjTggm0cZLYFbfPRnnUVkg/PFUKJ71mDfGVBg+XHxnJ598ckps0oYnoIA+PGO/YUkIdE2aZIFTjghjg0iWEpFGvHSZ2KLkNdFBRO42bSIV0JdkoPS8jVlfwnFeCl/DixKnfR975StfmcrPhuUCOpkBLO7aLP9OBfQ+tDf2mq4NRJQ9I2uYBRhBPzjkcIaEdQnonCtN6SuCeIi4PeWUU6pDDz00HSsRwmdeJaMpyEen7saOj3l9O5ULeMd1VVupfxeRszg2IliD3+fjAcdc14YiP8esTUCnygJjWCuLwNjnraBJyVKyrXJHCI4YnLwYQW5xHllZT2B1e7sIMXMeotXqPqHlu/NFjDnXWss1bua15prHXKSAvlxja5a7odwwIhNGJh1iEP4u1kKsiRCrfvrTn/Zumuvzqj4hoPcJ0ojvVEDvjXtDL3z00Uerww47LPWhT/nivLNUvXv5y1+ekgHwPURFnxDQ+wieTTevgL6hQ2IuX961j+QLLr/88pSJjt12223VcccdN1FAR+B+9tlnO/vX5Zvgg5SCpyQ88yOVpV796len9qhohmaATSoTPxdANrIuArP67nfs2FFdcMEF6bu/+tWvVp/73OeS6I1GhH30ox+dqqIwxxmGhYCOP5bkKG14AgrowzP2G5aEQNukiQiFMIkz/73vfW8qn9F2RvRb3vKW6rHHHlNAX5IxsZ7bmPUlzMuRLE7spptuqk466aSZumEJ95mwFfGhrg3Ez3/+87RZjVJURL1SOoqNZ1ibgP7EE08ksRy76KKLKs65azLOmoqy7AroRQyZmTqZzyHTNECJYoIvwuZdwl0BfZqnMZ5rxz5vBanrr7++Ouuss1IQEdVbCD5DMOfcTTayZCps3rx5PGDtyUQCXeuxOPqERrqCDTnOJJwa+ZEo8eXzEK0m3ogXFENgEWNOAb2Y4dCro/Nac8VROJT+xJnfZnn1MapOUeUnzBLuvR7Z0l/02te+tnrmmWfSfSJkImhGSWICZin13lX6uAuQJdyXd/jgO8VP8I9//GPqdXMeuMFxARwThuUl3Km4N212pwJ6+eNtkoBOaX8CdfBTvf3tb0/B0PgjqCiG5Zm98yrhTrtUxeCcdCwEVP4e1To4H/uPf/xj+Q9gye9gVt99nHUOnvvvv38t4J6AMQKByE5nXpvFLOE+C7X1fUYBfX38/PQKEWibNHOxiHOBP/OZzzRSYTFHFjAlO8xAX6GB03Krs76EcxGzXpZ9Gqq5I4azqDgjvc0iqpesUUoftQWITPP9Xjscga4NBJHbLLaiHFXTmUttAvoPf/jD6iMf+UjqeNcZv/nmVgF9uOe80S1HRRWis6+55pqJ3SH6FmdtvYRZ7uRnjHEcSptFENqWLVtS+dDcooS7AvrERzHKC8Y+bwU0sgAZ82x6yWQg84B/4yj+2Mc+ls5g1Moi0LUe+9GPfrQ2J3VV4MGJe+KJJ6YbV0Av6/lvRG8XMeYU0DfiyQ73nfNac1EqFn8FezreZ23GvvC6665Lv64L6Ow/d+/enfaDzz33XPJvNBkCGUIZwoQl3IcbGxvVcmR+8/1koB900EHVxRdfvBZgXS/LPk0/Q0AnWJExRttNxu/YyzLGzjzzzBTMqI2fwLZt2yr8T1guKk7qOVnDd9xxR7qMc9BPOOGE9Pdrr722Ou+889LfZxl3iKgEOjbNd5P65O/HQWCSgE4vv/KVr6R9G8a6nTHUJKCTMU7mODYpOzyO8GryTQQZKtNyFjbC/SOPPJJKuhOAzbzVdNzhOIjai5zALL57EieptsFzxv/69NNPrwWVkXj5m9/8JlVeIQCNoLNp7UMf+lCq9MJneRfO0sa037nq1yugr/oI8P57E2ibNDn3lXJBGGezRomOesMsElksYgrovbEv7YWzvIQDxiGHHJIiFXlJ8meUApoGVi6gH3744dWDDz6YMurqhuDF+ehkKrNJYaGpjZvApA0Ec1RsWjnbfufOnfvdUJuA/oMf/CCVbMceeOCB6l3velcjCCLCf/zjH6ffKaCPe6zM2jucqcwLbAgYQ+Fk7WqPklVXX311mmfYOJK5guVO/q45BvGK86Wxs88+uyI7KjcF9Fmf5jg+N/Z5K6dExgLz5Ote97pUEvDjH/94+vUvf/nL6phjjhkHUHvRm0DXeiw/957qA5/61Kca2yW4jAAgTAG9N/qVvXARY04BfXmG1zzXXJyzeu655yY4BGWzp6zbf//735SpF6Vr6wJ6Xg2tKwgboR7BHlNAX57xyJ0QRIj/i6xOSmoTYM/6Hn8CZwxjHBcWYue0dx8COp8jSDfGbL0dxNfPf/7z6cfrqcw3bf+8fn0EmFOoasfRXQceeGASF9/whjd0NsrRhRw7h5HRSyn4SOrAH0YJf/aliErhh+jby9zH0TYv9m3L6zaGwKR9JL3697//nYRrBEuC8hG0qTSF5RnoiObh52Ldz/q/ycgofve7351+1eSbiM/g/8APgj3++OMVwbkh0DN2yULXxk1gWt89RxxSZYC5DauvlfLS7vx9+/btUwPI/fkEEYXWNHVDfqA3AQX03qi8cNUJtE2anPdLVCwbh7e97W3p3Kd62SA2E8cee2xFFjqmgL7qo+n/omPD0d4kMnYR2rNnz5rDnk0qm9MomV3/HGes8HJl8ffiF7947df1UoAs7CJyNy5CNKcUG2W/Mc7LjvPOfILjJdBnA9HV+zYBnYhZgi0wShhzdlPdOP+XDUSYAvp4x8l6enbZZZel4Aisb6Q/QReU/cSuuOKKtY1j7uTndzgxOA8qN96dZF+xCcFZwp9xfl5cp4C+nie68Z8d+7yVEyJinMhxDAcyR/ggNlDiuykQbePp2oMuAl3rMdZBZLeRSUmJdgJ5Nm3atF9zuZjELxTQHW+TCCxizCmgT3oK5fx+nmsu1k9kw2Gf/OQnq29961v7gUBEYB2fCwZ1AZ29JQFkiBBkn7O+qwsATz75ZCpVytyJKaCPf7yx1n7f+96XzmNF/G6rOIfvi7HDkUzY1q1bK3wTYRwVFr4DKvVceumlrTdPQC0iVAijcWEuoHPGOtfUgz0ojcy+ggpAVAKirWlLd4//qSxvD/MAG4KqyaR861vf2njDBEdQpp3gHp4x4yHmsfgAVYCipHuXIIWISjuMq7B77703zVEYfjXGv1YWgb77SAJyzj///HRz+E+pnoHlAjr/xseKD/+AAw5IPlBKcefGvHPUUUetBXL84Q9/WDvKqU6OYDQykJk7Ec4J8ODoJ74D7UAbP4FpfPcESTBf4TuN9c9dd921ny+eCkAkozD+2FcSVJEfqVkngu+BSqL4w8JYixF49Ne//jUl1nEsZ8xj9c/v27eves1rXjN+0CPvoQL6yB+Q3RsPga5Jkwy8yIbjRUiULJMZL1YmMoQmoivZZBJlpoA+nue6UT2Z5iXc1Mc464nfceYYZ7DyQmUhyMaAs1l//etfp43EP//5z4oouJe85CVrTeUC+hFHHJGcwmyA+Y/2GKeI6vwcy8+Z2ihmfm8/An03EG2ttQnobCwQLSlHhOHsoGQxTgvOwKN08S233JKiLVnkYQro/Z5ZaVfhKGWOOfjgg9NxAH2OdWD84CBhAY8TjAh/LHfyMxfh3CXgh4xOslo4LoCSa1GynWNScLrUTQG9tFG0f3/HPm/V6ZL9gvM2DIEDp7NWHoFJ67ELL7wwVZjCyDQh2425jMCJm2++OZV/JFMFhy6mgF7eGFh0jxcx5hTQF/1Uh/u+ea656GWcYc7fOfaG/zZv3lwheiOcMz65Jua0uoDO5/LAIYQoyuKGYxcxinUbYgF7StqtH98zHC1bnpUAAjql/TGq2334wx9O44BgiTjGjTU6wjnZvxjjhkotrMHDEItYz8dxYbwfTz/99JTxiS+C4w9Z2//sZz9LlXv4HvaPuYWAztgnUIPgRCqo8XOMMcp7GV8bxufjGJVZ79/PLZ5AXsr9RS96UfItUI2MMcexl+wVb7zxxuruu+9OnUM8J2P45JNPfl5nqQqKqB6VM0heoiw7melR/YxxQyY74yXGEg1RSYE9LYIUbVx11VVpTMf+lv8fXvrSly4ekN/Ym0DffSQ+UYTLmJ/iC+oCOvMacxfBFiQh4X84/vjj1yomMP9QkhtjX8A7r8ve//73p3H8ile8IiXeYZOO0ex98144OIF8fJFIlCcM4XvH3857jWeMWB7jiUDC2267rTHZ7Re/+EUSzQnWZq7hHcZ/jE+MMfrwww8ncZ22qfiI7pTbr371q3SOOm0Q7IFGgN8esZwKH/jP0KOoIsu/tfURUEBfHz8/vUIE8kmzflYJi3cWYbxomwzhnImPKNx77rlHAX2Fxk3brU5ynk1CRAQaG0nKteCg6DLOViEDII/KzgV0xi3OEyInmwyHCNG4BIFo4yfQdwPRdidtAjrXM1bYkLJIbDKcI5yB/qpXvSr9WgF9/ONl2h7m2bddZc2a2o2zN/ldHAOQO/nZiJL9grO2ydhU4PjAyVI3BfRpn+S4rh/7vFWnlZfjY9NL5hPZBVp5BLrW99wNpWqZl5izmoyg2K997WtJHMAU0MsbA4vu8SLGnAL6op/qMN837zUXvUSUYt5CmGwyKpIxn3FcCdYkoPPzK6+8MgWO1YUHfkc2FAFGiAwEdFPBjCw+bbwEEA+ppkNwWB9D3CaQIqqT5Z/585//XJ100kkpg3OSMc4imz2uDQGdcUppWypT8S6uG+svso0jo3TSd/n78REgaIes3KhW0dZDhHCubcuw5HPsIynhHsH+bW0hOuUCOtfhV2MsNVnT9eMjudo9mmYfyZodQTy3pvcYlTSYx8gWbrNzzjknBfZPSiZgb0AgURhiJ5nDVLnSxk8gH199ekvwIAFCBFc0+a2iDYLISEjq894lYDuOjcv7gO+V4KM2/2xc2zTG+9yL1/w/AQV0R4MEehLgBUpJKqypLBCLekrCUGKISGsmSpyplMBGNCAKKN8MMAnnlk/KkxZpUSJ02tLfPW/VyxZAYL0CenSRqDLK7/HyZbPKAg/BnLHHuT6MWSK76+J3LqCTPcwxBIjxjF82H7xgybAjcvfMM89MEW1aGQSm2UA03VGXgM71f/nLX1JkNo4worzJSqDiBs4NNhFkF3TNUTp1yxhHbb1ENI+Sn7wX6yXNuu4uL5EXZ4XVxwOL/507d6agM+Y0or4p6cc8xAajzRTQyx5XY5+36nQRHsLpwXuWTCqtTAKT1vfcFRkrrJEI4KH6BvMSlTQIPqQCEOsohAdMAb3McbDIXi9izLnWWuQTHe675r3mip7iuEcAJzOJLCcyiRFCERUoX5zvBdoEdNpCHMf/sXfv3pQNzLEmBBxx3itnHHO8HQHaZIwyf2rjJkBQPsFiZMbxJ34GMnsR1/EvECDNmhyRkqDWrpLp+BLIeuNoJsoU0w5ZxWRgIr6T3U62MWWQ68ff1H1mVPzhvHP8HYxX2uBzCOdxPNS4ydq7LgJk5FLJjoQNSls/99xzyZfKOvsd73hHGm9UJusSoqJ9kkxoiwAeSihT8YCKZmSRUymUuYhjFOuCJ+N19+7dKcOdPjCf0RY2yTfr0914AtPsI8nEZQ5i7R7WJi4yFnft2pXelfhI+SzjkvmH9X8c6TWJAD5aPsdcipE1jPCplUGgTUBnHsEXyhqKyhmsoxgbxx13XO8jRdCR2Dvefvvtab3EnEW7iPCsowga4n1bP8YkJ8ccylGatMF7m/FGVQ00KNZkCOwcRaatj4AC+vr4+ekVIsDi/5RTTkl3/O1vf7s644wzVujuvVUJSEACEpDA/Ano5J8/U1scngAl2ijHh7E+JIBIK5OA6/syn1vJvXbMlfz07HtfAoilOJUJQLr44ouryy+/vO9HvW7FCXQlnaw4Gm9fAhKQgAQkIIENIKCAvgHQ/coyCVB+PTZ+RFv3jTYr827ttQQkIAEJSGB4AgrowzP2G+ZPgGoInMtI9RYy+TZt2jT/L7HFhRBwfb8QzH5JRsAx53BYBQJkgEZwGVlRVOXTJNCHgAJ6H0peIwEJSEACEpDAoggooC+KtN9TNAFKtVDygrKNlACiBBVlijUJSEACEpCABGYndcTLuAAAB4FJREFUoIA+Ozs/uTEEOO98y5YtqRQpZWopK6qVScD1fZnPreReO+ZKfnr2PSeAX4QjnJqM9yRlTPft25fK1vJnn/LLEpYABBTQHQcSkIAEJCABCYyJgAL6mJ6GfRkVAc6eYLPHBpDzWO+7777Uv/POO6+6+uqrR9VXOyMBCUhAAhIokYACeolPbfX6TJY5Z5RxFuwXvvCF6ve//30KpERA4FxFrRwCru/LeVbL0lPH3LI8Se8jJ4AgznnpnPX5pje9KZ2R/be//S2dF3z99ddXnMmJ7dmzp9q6davwJNCbgAJ6b1ReKAEJSEACEpDAAggooC8Asl9RJoFdu3ZV55577n6dP/LII6u77rqrOvDAA8u8KXstAQlIQAISGBEBBfQRPQy70kognLn5BTt27Ki2b98utcIIuL4v7IEtQXcdc0vwEL2F5xF4wQte0EnlhS98YXXFFVdUF154ofQkMBUBBfSpcHmxBCQgAQlIQAIDE1BAHxiwzZdLAGcH2eabN2+uDj300HSG11lnneU5l+U+UnsuAQlIQAIjI6CAPrIHYncaCYQz92Uve1kq375t27bqtNNOk1aBBFzfF/jQCu+yY67wB2j3Gwlwrvmdd95Z7d27Nx1vR6WFTZs2paosvDPPOeecdASeJoFpCSigT0vM6yUgAQlIQAISGJKAAvqQdG1bAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgASKIaCAXsyjsqMSkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJDAkAQX0IenatgQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJFENAAb2YR2VHJSABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhgSAIK6EPStW0JSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEiiGgAJ6MY/KjkpAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQwJAEFNCHpGvbEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCRQDAEF9GIelR2VgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIIEhCSigD0nXtiUgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIoBgCCujFPCo7KgEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACQxJQQB+Srm1LQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkEAxBBTQi3lUdlQCEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABIYkoIA+JF3bloAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCCBYggooBfzqOyoBCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQkMSUABfUi6ti0BCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAsUQUEAv5lHZUQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISGJKAAvqQdG1bAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgASKIaCAXsyjsqMSkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJDAkAQX0IenatgQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJFENAAb2YR2VHJSABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhgSAIK6EPStW0JSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEiiGgAJ6MY/KjkpAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQwJAEFNCHpGvbEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCRQDAEF9GIelR2VgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIIEhCSigD0nXtiUgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIoBgCCujFPCo7KgEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACQxJQQB+Srm1LQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkEAxBBTQi3lUdlQCEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABIYkoIA+JF3bloAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCCBYggooBfzqOyoBCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQkMSeB/Zl+axmQGR3oAAAAASUVORK5CYII=\" width=\"1000\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/javascript": [
+ "/* Put everything inside the global mpl namespace */\n",
+ "window.mpl = {};\n",
+ "\n",
+ "\n",
+ "mpl.get_websocket_type = function() {\n",
+ " if (typeof(WebSocket) !== 'undefined') {\n",
+ " return WebSocket;\n",
+ " } else if (typeof(MozWebSocket) !== 'undefined') {\n",
+ " return MozWebSocket;\n",
+ " } else {\n",
+ " alert('Your browser does not have WebSocket support. ' +\n",
+ " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
+ " 'Firefox 4 and 5 are also supported but you ' +\n",
+ " 'have to enable WebSockets in about:config.');\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
+ " this.id = figure_id;\n",
+ "\n",
+ " this.ws = websocket;\n",
+ "\n",
+ " this.supports_binary = (this.ws.binaryType != undefined);\n",
+ "\n",
+ " if (!this.supports_binary) {\n",
+ " var warnings = document.getElementById(\"mpl-warnings\");\n",
+ " if (warnings) {\n",
+ " warnings.style.display = 'block';\n",
+ " warnings.textContent = (\n",
+ " \"This browser does not support binary websocket messages. \" +\n",
+ " \"Performance may be slow.\");\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " this.imageObj = new Image();\n",
+ "\n",
+ " this.context = undefined;\n",
+ " this.message = undefined;\n",
+ " this.canvas = undefined;\n",
+ " this.rubberband_canvas = undefined;\n",
+ " this.rubberband_context = undefined;\n",
+ " this.format_dropdown = undefined;\n",
+ "\n",
+ " this.image_mode = 'full';\n",
+ "\n",
+ " this.root = $('<div/>');\n",
+ " this._root_extra_style(this.root)\n",
+ " this.root.attr('style', 'display: inline-block');\n",
+ "\n",
+ " $(parent_element).append(this.root);\n",
+ "\n",
+ " this._init_header(this);\n",
+ " this._init_canvas(this);\n",
+ " this._init_toolbar(this);\n",
+ "\n",
+ " var fig = this;\n",
+ "\n",
+ " this.waiting = false;\n",
+ "\n",
+ " this.ws.onopen = function () {\n",
+ " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+ " fig.send_message(\"send_image_mode\", {});\n",
+ " if (mpl.ratio != 1) {\n",
+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+ " }\n",
+ " fig.send_message(\"refresh\", {});\n",
+ " }\n",
+ "\n",
+ " this.imageObj.onload = function() {\n",
+ " if (fig.image_mode == 'full') {\n",
+ " // Full images could contain transparency (where diff images\n",
+ " // almost always do), so we need to clear the canvas so that\n",
+ " // there is no ghosting.\n",
+ " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+ " }\n",
+ " fig.context.drawImage(fig.imageObj, 0, 0);\n",
+ " };\n",
+ "\n",
+ " this.imageObj.onunload = function() {\n",
+ " fig.ws.close();\n",
+ " }\n",
+ "\n",
+ " this.ws.onmessage = this._make_on_message_function(this);\n",
+ "\n",
+ " this.ondownload = ondownload;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_header = function() {\n",
+ " var titlebar = $(\n",
+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+ " 'ui-helper-clearfix\"/>');\n",
+ " var titletext = $(\n",
+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+ " 'text-align: center; padding: 3px;\"/>');\n",
+ " titlebar.append(titletext)\n",
+ " this.root.append(titlebar);\n",
+ " this.header = titletext[0];\n",
+ "}\n",
+ "\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_canvas = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var canvas_div = $('<div/>');\n",
+ "\n",
+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+ "\n",
+ " function canvas_keyboard_event(event) {\n",
+ " return fig.key_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+ " this.canvas_div = canvas_div\n",
+ " this._canvas_extra_style(canvas_div)\n",
+ " this.root.append(canvas_div);\n",
+ "\n",
+ " var canvas = $('<canvas/>');\n",
+ " canvas.addClass('mpl-canvas');\n",
+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+ "\n",
+ " this.canvas = canvas[0];\n",
+ " this.context = canvas[0].getContext(\"2d\");\n",
+ "\n",
+ " var backingStore = this.context.backingStorePixelRatio ||\n",
+ "\tthis.context.webkitBackingStorePixelRatio ||\n",
+ "\tthis.context.mozBackingStorePixelRatio ||\n",
+ "\tthis.context.msBackingStorePixelRatio ||\n",
+ "\tthis.context.oBackingStorePixelRatio ||\n",
+ "\tthis.context.backingStorePixelRatio || 1;\n",
+ "\n",
+ " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+ "\n",
+ " var rubberband = $('<canvas/>');\n",
+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+ "\n",
+ " var pass_mouse_events = true;\n",
+ "\n",
+ " canvas_div.resizable({\n",
+ " start: function(event, ui) {\n",
+ " pass_mouse_events = false;\n",
+ " },\n",
+ " resize: function(event, ui) {\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " stop: function(event, ui) {\n",
+ " pass_mouse_events = true;\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " });\n",
+ "\n",
+ " function mouse_event_fn(event) {\n",
+ " if (pass_mouse_events)\n",
+ " return fig.mouse_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
+ " // Throttle sequential mouse events to 1 every 20ms.\n",
+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+ "\n",
+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+ "\n",
+ " canvas_div.on(\"wheel\", function (event) {\n",
+ " event = event.originalEvent;\n",
+ " event['data'] = 'scroll'\n",
+ " if (event.deltaY < 0) {\n",
+ " event.step = 1;\n",
+ " } else {\n",
+ " event.step = -1;\n",
+ " }\n",
+ " mouse_event_fn(event);\n",
+ " });\n",
+ "\n",
+ " canvas_div.append(canvas);\n",
+ " canvas_div.append(rubberband);\n",
+ "\n",
+ " this.rubberband = rubberband;\n",
+ " this.rubberband_canvas = rubberband[0];\n",
+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
+ "\n",
+ " this._resize_canvas = function(width, height) {\n",
+ " // Keep the size of the canvas, canvas container, and rubber band\n",
+ " // canvas in synch.\n",
+ " canvas_div.css('width', width)\n",
+ " canvas_div.css('height', height)\n",
+ "\n",
+ " canvas.attr('width', width * mpl.ratio);\n",
+ " canvas.attr('height', height * mpl.ratio);\n",
+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+ "\n",
+ " rubberband.attr('width', width);\n",
+ " rubberband.attr('height', height);\n",
+ " }\n",
+ "\n",
+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+ " // upon first draw.\n",
+ " this._resize_canvas(600, 600);\n",
+ "\n",
+ " // Disable right mouse context menu.\n",
+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
+ " return false;\n",
+ " });\n",
+ "\n",
+ " function set_focus () {\n",
+ " canvas.focus();\n",
+ " canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " window.setTimeout(set_focus, 100);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\n",
+ " for(var toolbar_ind in mpl.toolbar_items) {\n",
+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+ "\n",
+ " if (!name) {\n",
+ " // put a spacer in here.\n",
+ " continue;\n",
+ " }\n",
+ " var button = $('<button/>');\n",
+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+ " 'ui-button-icon-only');\n",
+ " button.attr('role', 'button');\n",
+ " button.attr('aria-disabled', 'false');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ "\n",
+ " var icon_img = $('<span/>');\n",
+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+ " icon_img.addClass(image);\n",
+ " icon_img.addClass('ui-corner-all');\n",
+ "\n",
+ " var tooltip_span = $('<span/>');\n",
+ " tooltip_span.addClass('ui-button-text');\n",
+ " tooltip_span.html(tooltip);\n",
+ "\n",
+ " button.append(icon_img);\n",
+ " button.append(tooltip_span);\n",
+ "\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " var fmt_picker_span = $('<span/>');\n",
+ "\n",
+ " var fmt_picker = $('<select/>');\n",
+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+ " fmt_picker_span.append(fmt_picker);\n",
+ " nav_element.append(fmt_picker_span);\n",
+ " this.format_dropdown = fmt_picker[0];\n",
+ "\n",
+ " for (var ind in mpl.extensions) {\n",
+ " var fmt = mpl.extensions[ind];\n",
+ " var option = $(\n",
+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+ " fmt_picker.append(option);\n",
+ " }\n",
+ "\n",
+ " // Add hover states to the ui-buttons\n",
+ " $( \".ui-button\" ).hover(\n",
+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
+ " );\n",
+ "\n",
+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
+ " // which will in turn request a refresh of the image.\n",
+ " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.send_message = function(type, properties) {\n",
+ " properties['type'] = type;\n",
+ " properties['figure_id'] = this.id;\n",
+ " this.ws.send(JSON.stringify(properties));\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.send_draw_message = function() {\n",
+ " if (!this.waiting) {\n",
+ " this.waiting = true;\n",
+ " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " var format_dropdown = fig.format_dropdown;\n",
+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
+ " fig.ondownload(fig, format);\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
+ " var size = msg['size'];\n",
+ " if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
+ " fig._resize_canvas(size[0], size[1]);\n",
+ " fig.send_message(\"refresh\", {});\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+ " var x0 = msg['x0'] / mpl.ratio;\n",
+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+ " var x1 = msg['x1'] / mpl.ratio;\n",
+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+ " x0 = Math.floor(x0) + 0.5;\n",
+ " y0 = Math.floor(y0) + 0.5;\n",
+ " x1 = Math.floor(x1) + 0.5;\n",
+ " y1 = Math.floor(y1) + 0.5;\n",
+ " var min_x = Math.min(x0, x1);\n",
+ " var min_y = Math.min(y0, y1);\n",
+ " var width = Math.abs(x1 - x0);\n",
+ " var height = Math.abs(y1 - y0);\n",
+ "\n",
+ " fig.rubberband_context.clearRect(\n",
+ " 0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
+ "\n",
+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
+ " // Updates the figure title.\n",
+ " fig.header.textContent = msg['label'];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
+ " var cursor = msg['cursor'];\n",
+ " switch(cursor)\n",
+ " {\n",
+ " case 0:\n",
+ " cursor = 'pointer';\n",
+ " break;\n",
+ " case 1:\n",
+ " cursor = 'default';\n",
+ " break;\n",
+ " case 2:\n",
+ " cursor = 'crosshair';\n",
+ " break;\n",
+ " case 3:\n",
+ " cursor = 'move';\n",
+ " break;\n",
+ " }\n",
+ " fig.rubberband_canvas.style.cursor = cursor;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
+ " fig.message.textContent = msg['message'];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
+ " // Request the server to send over a new figure.\n",
+ " fig.send_draw_message();\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
+ " fig.image_mode = msg['mode'];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
+ " // Called whenever the canvas gets updated.\n",
+ " this.send_message(\"ack\", {});\n",
+ "}\n",
+ "\n",
+ "// A function to construct a web socket function for onmessage handling.\n",
+ "// Called in the figure constructor.\n",
+ "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
+ " return function socket_on_message(evt) {\n",
+ " if (evt.data instanceof Blob) {\n",
+ " /* FIXME: We get \"Resource interpreted as Image but\n",
+ " * transferred with MIME type text/plain:\" errors on\n",
+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
+ " * to be part of the websocket stream */\n",
+ " evt.data.type = \"image/png\";\n",
+ "\n",
+ " /* Free the memory for the previous frames */\n",
+ " if (fig.imageObj.src) {\n",
+ " (window.URL || window.webkitURL).revokeObjectURL(\n",
+ " fig.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+ " evt.data);\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
+ " fig.imageObj.src = evt.data;\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var msg = JSON.parse(evt.data);\n",
+ " var msg_type = msg['type'];\n",
+ "\n",
+ " // Call the \"handle_{type}\" callback, which takes\n",
+ " // the figure and JSON message as its only arguments.\n",
+ " try {\n",
+ " var callback = fig[\"handle_\" + msg_type];\n",
+ " } catch (e) {\n",
+ " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " if (callback) {\n",
+ " try {\n",
+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
+ " callback(fig, msg);\n",
+ " } catch (e) {\n",
+ " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+ " }\n",
+ " }\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
+ "mpl.findpos = function(e) {\n",
+ " //this section is from http://www.quirksmode.org/js/events_properties.html\n",
+ " var targ;\n",
+ " if (!e)\n",
+ " e = window.event;\n",
+ " if (e.target)\n",
+ " targ = e.target;\n",
+ " else if (e.srcElement)\n",
+ " targ = e.srcElement;\n",
+ " if (targ.nodeType == 3) // defeat Safari bug\n",
+ " targ = targ.parentNode;\n",
+ "\n",
+ " // jQuery normalizes the pageX and pageY\n",
+ " // pageX,Y are the mouse positions relative to the document\n",
+ " // offset() returns the position of the element relative to the document\n",
+ " var x = e.pageX - $(targ).offset().left;\n",
+ " var y = e.pageY - $(targ).offset().top;\n",
+ "\n",
+ " return {\"x\": x, \"y\": y};\n",
+ "};\n",
+ "\n",
+ "/*\n",
+ " * return a copy of an object with only non-object keys\n",
+ " * we need this to avoid circular references\n",
+ " * http://stackoverflow.com/a/24161582/3208463\n",
+ " */\n",
+ "function simpleKeys (original) {\n",
+ " return Object.keys(original).reduce(function (obj, key) {\n",
+ " if (typeof original[key] !== 'object')\n",
+ " obj[key] = original[key]\n",
+ " return obj;\n",
+ " }, {});\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.mouse_event = function(event, name) {\n",
+ " var canvas_pos = mpl.findpos(event)\n",
+ "\n",
+ " if (name === 'button_press')\n",
+ " {\n",
+ " this.canvas.focus();\n",
+ " this.canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " var x = canvas_pos.x * mpl.ratio;\n",
+ " var y = canvas_pos.y * mpl.ratio;\n",
+ "\n",
+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
+ " step: event.step,\n",
+ " guiEvent: simpleKeys(event)});\n",
+ "\n",
+ " /* This prevents the web browser from automatically changing to\n",
+ " * the text insertion cursor when the button is pressed. We want\n",
+ " * to control all of the cursor setting manually through the\n",
+ " * 'cursor' event from matplotlib */\n",
+ " event.preventDefault();\n",
+ " return false;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " // Handle any extra behaviour associated with a key event\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.key_event = function(event, name) {\n",
+ "\n",
+ " // Prevent repeat events\n",
+ " if (name == 'key_press')\n",
+ " {\n",
+ " if (event.which === this._key)\n",
+ " return;\n",
+ " else\n",
+ " this._key = event.which;\n",
+ " }\n",
+ " if (name == 'key_release')\n",
+ " this._key = null;\n",
+ "\n",
+ " var value = '';\n",
+ " if (event.ctrlKey && event.which != 17)\n",
+ " value += \"ctrl+\";\n",
+ " if (event.altKey && event.which != 18)\n",
+ " value += \"alt+\";\n",
+ " if (event.shiftKey && event.which != 16)\n",
+ " value += \"shift+\";\n",
+ "\n",
+ " value += 'k';\n",
+ " value += event.which.toString();\n",
+ "\n",
+ " this._key_event_extra(event, name);\n",
+ "\n",
+ " this.send_message(name, {key: value,\n",
+ " guiEvent: simpleKeys(event)});\n",
+ " return false;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+ " if (name == 'download') {\n",
+ " this.handle_save(this, null);\n",
+ " } else {\n",
+ " this.send_message(\"toolbar_button\", {name: name});\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+ " this.message.textContent = tooltip;\n",
+ "};\n",
+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+ "\n",
+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+ "\n",
+ "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
+ " // object with the appropriate methods. Currently this is a non binary\n",
+ " // socket, so there is still some room for performance tuning.\n",
+ " var ws = {};\n",
+ "\n",
+ " ws.close = function() {\n",
+ " comm.close()\n",
+ " };\n",
+ " ws.send = function(m) {\n",
+ " //console.log('sending', m);\n",
+ " comm.send(m);\n",
+ " };\n",
+ " // Register the callback with on_msg.\n",
+ " comm.on_msg(function(msg) {\n",
+ " //console.log('receiving', msg['content']['data'], msg);\n",
+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+ " ws.onmessage(msg['content']['data'])\n",
+ " });\n",
+ " return ws;\n",
+ "}\n",
+ "\n",
+ "mpl.mpl_figure_comm = function(comm, msg) {\n",
+ " // This is the function which gets called when the mpl process\n",
+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+ "\n",
+ " var id = msg.content.data.id;\n",
+ " // Get hold of the div created by the display call when the Comm\n",
+ " // socket was opened in Python.\n",
+ " var element = $(\"#\" + id);\n",
+ " var ws_proxy = comm_websocket_adapter(comm)\n",
+ "\n",
+ " function ondownload(figure, format) {\n",
+ " window.open(figure.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " var fig = new mpl.figure(id, ws_proxy,\n",
+ " ondownload,\n",
+ " element.get(0));\n",
+ "\n",
+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
+ " // web socket which is closed, not our websocket->open comm proxy.\n",
+ " ws_proxy.onopen();\n",
+ "\n",
+ " fig.parent_element = element.get(0);\n",
+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+ " if (!fig.cell_info) {\n",
+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var output_index = fig.cell_info[2]\n",
+ " var cell = fig.cell_info[0];\n",
+ "\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+ " var width = fig.canvas.width/mpl.ratio\n",
+ " fig.root.unbind('remove')\n",
+ "\n",
+ " // Update the output cell to use the data from the current canvas.\n",
+ " fig.push_to_output();\n",
+ " var dataURL = fig.canvas.toDataURL();\n",
+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
+ " // the notebook keyboard shortcuts fail.\n",
+ " IPython.keyboard_manager.enable()\n",
+ " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+ " fig.close_ws(fig, msg);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+ " fig.send_message('closing', msg);\n",
+ " // fig.ws.close()\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+ " // Turn the data on the canvas into data in the output cell.\n",
+ " var width = this.canvas.width/mpl.ratio\n",
+ " var dataURL = this.canvas.toDataURL();\n",
+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
+ " // Tell IPython that the notebook contents must change.\n",
+ " IPython.notebook.set_dirty(true);\n",
+ " this.send_message(\"ack\", {});\n",
+ " var fig = this;\n",
+ " // Wait a second, then push the new image to the DOM so\n",
+ " // that it is saved nicely (might be nice to debounce this).\n",
+ " setTimeout(function () { fig.push_to_output() }, 1000);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\n",
+ " for(var toolbar_ind in mpl.toolbar_items){\n",
+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+ "\n",
+ " if (!name) { continue; };\n",
+ "\n",
+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " // Add the status bar.\n",
+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "\n",
+ " // Add the close button to the window.\n",
+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+ " buttongrp.append(button);\n",
+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+ " titlebar.prepend(buttongrp);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(el){\n",
+ " var fig = this\n",
+ " el.on(\"remove\", function(){\n",
+ "\tfig.close_ws(fig, {});\n",
+ " });\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+ " // this is important to make the div 'focusable\n",
+ " el.attr('tabindex', 0)\n",
+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
+ " // off when our div gets focus\n",
+ "\n",
+ " // location in version 3\n",
+ " if (IPython.notebook.keyboard_manager) {\n",
+ " IPython.notebook.keyboard_manager.register_events(el);\n",
+ " }\n",
+ " else {\n",
+ " // location in version 2\n",
+ " IPython.keyboard_manager.register_events(el);\n",
+ " }\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " var manager = IPython.notebook.keyboard_manager;\n",
+ " if (!manager)\n",
+ " manager = IPython.keyboard_manager;\n",
+ "\n",
+ " // Check for shift+enter\n",
+ " if (event.shiftKey && event.which == 13) {\n",
+ " this.canvas_div.blur();\n",
+ " // select the cell after this one\n",
+ " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+ " IPython.notebook.select(index + 1);\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " fig.ondownload(fig, null);\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.find_output_cell = function(html_output) {\n",
+ " // Return the cell and output element which can be found *uniquely* in the notebook.\n",
+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
+ " // IPython event is triggered only after the cells have been serialised, which for\n",
+ " // our purposes (turning an active figure into a static one), is too late.\n",
+ " var cells = IPython.notebook.get_cells();\n",
+ " var ncells = cells.length;\n",
+ " for (var i=0; i<ncells; i++) {\n",
+ " var cell = cells[i];\n",
+ " if (cell.cell_type === 'code'){\n",
+ " for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
+ " var data = cell.output_area.outputs[j];\n",
+ " if (data.data) {\n",
+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
+ " data = data.data;\n",
+ " }\n",
+ " if (data['text/html'] == html_output) {\n",
+ " return [cell, data, j];\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "// Register the function which deals with the matplotlib target/channel.\n",
+ "// The kernel may be null if the page has been refreshed.\n",
+ "if (IPython.notebook.kernel != null) {\n",
+ " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
+ "}\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Javascript object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
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\" width=\"1000\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.figure(figsize = (10, 3.5))\n",
+ "ax = plt.subplot()\n",
+ "xr.merge([base_hourly_sel.pv_potential.rename('new'), \n",
+ " data_hourly_sel.pv_potential.rename('old')]).to_dataframe().plot(ax = ax)\n",
+ "\n",
+ "ax.set_xticks(list(range(12, 24*12, 24)))\n",
+ "ax.set_xticklabels(calendar.month_abbr[1:])\n",
+ "plt.xlabel('')\n",
+ "plt.xlim((0, 12*24))\n",
+ "plt.ylabel('Power ($W$)')\n",
+ "\n",
+ "ax.set_axisbelow(True)\n",
+ "ax.yaxis.grid(linestyle = '--')\n",
+ "\n",
+ "plt.tight_layout()\n",
+ "\n",
+ "plt.figure(figsize = (10, 3.5))\n",
+ "ax = plt.subplot()\n",
+ "\n",
+ "xr.merge([base_hourly_sel.tilted_irradiance.rename('new'), \n",
+ " data_hourly_sel.tilted_irradiance.rename('old')]).to_dataframe().plot(ax = ax)\n",
+ "\n",
+ "ax.set_xticks(list(range(12, 24*12, 24)))\n",
+ "ax.set_xticklabels(calendar.month_abbr[1:])\n",
+ "plt.xlabel('')\n",
+ "plt.xlim((0, 12*24))\n",
+ "plt.ylabel('Radiation ($W/m^2$)')\n",
+ "\n",
+ "ax.set_axisbelow(True)\n",
+ "ax.yaxis.grid(linestyle = '--')\n",
+ "\n",
+ "plt.tight_layout()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "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": "3.6.7"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/EW_scenarios_MMH/baseline_scenario/check_files.py b/EW_scenarios_MMH/baseline_scenario/check_files.py
new file mode 100644
index 0000000..1b708ba
--- /dev/null
+++ b/EW_scenarios_MMH/baseline_scenario/check_files.py
@@ -0,0 +1,56 @@
+import xarray as xr
+import sys
+import os
+
+fileDir = sys.argv[1]
+batches = int(sys.argv[2])
+
+WORKDIR = '/scratch/walch/workdir_solar_MMH_base'
+FLATDIR = '/scratch/walch/workdir_solar_EW_scenarios'
+
+ROOF_FP = os.path.join(FLATDIR, 'files/flat_roofs_baseline.csv')
+AREA_FP = '/work/hyenergy/output/solar_potential/geographic_potential/available_area/PRED_available_area_unc_filled.csv'
+
+for batch in range(batches):
+ print(batch)
+ poa_fp = os.path.join(fileDir, 'poa_irradiance_%d.nc' %batch)
+ irrad_fp = os.path.join(fileDir, 'tilted_irrad_%d.nc' %batch)
+ pvPot_fp = os.path.join(fileDir, 'pv_potential_%d.nc' %batch)
+
+ check_irrad = False
+
+ try:
+ irrad = xr.open_dataset(irrad_fp)
+ poa = xr.open_dataset(poa_fp)
+
+ print(len(irrad.DF_UID))
+ print(len(poa.DF_UID))
+
+ if irrad.yearly_kWh_m2.sum() == 0:
+ print(len(irrad.DF_UID))
+ print('ERROR in %s' %irrad_fp)
+ irrad.close()
+ poa.close()
+
+ os.system('%s/python compute_tilted_irrad_batch.py %s %s %s' %(WORKDIR, poa_fp, ROOF_FP, irrad_fp))
+
+ check_irrad = True
+
+ except:
+ print('Cannot open %s or %s' %(poa_fp,irrad_fp))
+ continue
+
+ try:
+ pvPot = xr.open_dataset(pvPot_fp)
+
+ if pvPot.yearly_PV_kWh.sum() > 0:
+ continue
+ except:
+ print('Cannot open %s' %pvPot_fp)
+ if not check_irrad:
+ continue
+
+ print('ERROR in %s' %pvPot_fp)
+ pvPot.close()
+
+ os.system('python %s/compute_PV_output_batch.py %s %s %s %s' %(WORKDIR, irrad_fp, ROOF_FP, AREA_FP, pvPot_fp))
diff --git a/EW_scenarios_MMH/baseline_scenario/compute_PV_output_all_V2.py b/EW_scenarios_MMH/baseline_scenario/compute_PV_output_all_V2.py
new file mode 100644
index 0000000..8064495
--- /dev/null
+++ b/EW_scenarios_MMH/baseline_scenario/compute_PV_output_all_V2.py
@@ -0,0 +1,151 @@
+import pandas as pd
+import xarray as xr
+import numpy as np
+import util
+from pvlib.tools import cosd
+
+import os
+import time
+import sys
+
+## for more details, check reference in Total_radiation_spielwiese
+
+TILTED_IRRAD_FP = sys.argv[1]
+
+START = int(sys.argv[2])
+N_LINES = int(sys.argv[3])
+OUTNAME = sys.argv[4]
+
+## ===== CONSTANTS ===== ##
+CHUNKSIZE = 10000
+N_DF_UIDs = 9639231
+
+workdir = '/scratch/walch/workdir_solar_MMH_base'
+
+PARTLY_SHADING_FP = '/work/hyenergy/output/solar_potential/geographic_potential/available_area/shading_stats/CH_partly_shading_replaced_debiased.nc'
+SVF_FP = '/work/hyenergy/output/solar_potential/geographic_potential/tilted_irradiance/SVF_CH_replaced.csv'
+AVAIL_AREA_FP = '/work/hyenergy/output/solar_potential/geographic_potential/available_area/PRED_available_area_unc_filled.csv'
+MUTUAL_SHADE_FP = '/work/hyenergy/output/solar_potential/technical_potential/flat_roofs/mutual_shading.nc'
+ROOFS_FP = '/work/hyenergy/output/solar_potential/geographic_potential/CH_ROOFS_all_replaced.csv'
+EFFICIENCY_FP = '/work/hyenergy/output/solar_potential/technical_potential/pv_efficiencies_proj_roofs.nc'
+OUTFILE_FP = OUTNAME
+
+OUT_BASE = os.path.splitext(OUTFILE_FP)[0]
+END = min(START + N_LINES, N_DF_UIDs)
+
+FLAT_TILT = 30
+FLAT_DIST = 1
+
+print('\nShading file path: %s' %PARTLY_SHADING_FP)
+print('Tilted irradiance file path: %s' %TILTED_IRRAD_FP)
+print('Skyview factor file path: %s' %SVF_FP)
+print('Available area file path: %s' %AVAIL_AREA_FP)
+print('Mutual shading file path: %s' %MUTUAL_SHADE_FP)
+print('Roof surfaces file path: %s' %ROOFS_FP)
+print('Efficiency file path: %s' %EFFICIENCY_FP)
+print('Output file path: %s' %OUTFILE_FP)
+
+## =========================================================================================== ##
+
+## ===== LOAD DATA ===== ##
+tt = time.time()
+t0 = time.time()
+
+irrad = xr.open_dataset( TILTED_IRRAD_FP )
+print(irrad)
+
+shading = xr.open_dataset( PARTLY_SHADING_FP ).sel(DF_UID = irrad.DF_UID.values).compute()
+svf = util.read_csv_rows( SVF_FP, START, N_LINES )
+av_area = util.read_csv_rows( AVAIL_AREA_FP, START, N_LINES, usecols = ['DF_UID', 'tilted_area', 'available_area'])
+mutual_shade = xr.open_dataset( MUTUAL_SHADE_FP )
+roofs = util.read_csv_rows( ROOFS_FP, START, N_LINES, usecols = ['DF_UID', 'NEIGUNG', 'panel_tilt'])
+eff = xr.open_dataset( EFFICIENCY_FP ).sel(DF_UID = irrad.DF_UID.values).compute()
+
+print('\n')
+print(shading)
+print('\n')
+print(irrad)
+print('\n')
+print(svf.head(2))
+print(svf.tail(2))
+print('\n')
+print(mutual_shade)
+print('\n')
+print(av_area.head(2))
+print(av_area.tail(2))
+print('\n')
+print(roofs.head(2))
+print(roofs.tail(2))
+print('\n')
+print(eff)
+
+print('Loaded all data in %.3f seconds' %(time.time()-tt))
+
+flat_roofs = roofs[roofs.NEIGUNG == 0]
+
+av_area = av_area.merge( roofs, on = 'DF_UID', how = 'left' )
+av_area['panelled_area'] = av_area.available_area / cosd( av_area.panel_tilt - av_area.NEIGUNG )
+
+print('Merged roof info with available area')
+
+## ===== COMPUTE MEAN IRRADIANCE ON ROOFTOPS ===== ##
+
+print('\nComputing mean irradiance on rooftops ...')
+tt = time.time()
+
+tilted_irrad = xr.merge( [ shading, irrad ] ).fillna(0)
+mutual_shade_flat = mutual_shade.sel(tilt = FLAT_TILT, distance = FLAT_DIST, timestamp = irrad.timestamp).drop(['tilt', 'distance'])
+
+tilted_irrad['svf'] = svf.set_index('DF_UID')['SVF_unbiased'].to_xarray()
+tilted_irrad['is_flat'] = tilted_irrad.DF_UID.isin( flat_roofs.DF_UID.values ).astype(int)
+
+print(tilted_irrad)
+
+# compute tilted irradiance for tilted and flat surfaces
+# by multiplying mutual shading with is_flat (0, 1)
+tilted_irrad['tilted_irradiance'] = tilted_irrad.partly_shading * tilted_irrad.poa_direct * (1 - mutual_shade_flat.shading * tilted_irrad.is_flat) + tilted_irrad.svf * tilted_irrad.poa_sky_diffuse * (1 - mutual_shade_flat.SVF_shade * tilted_irrad.is_flat) + tilted_irrad.poa_ground_diffuse
+
+print(tilted_irrad)
+
+print('Finished in %.3f seconds' %(time.time()-tt))
+
+## ===== PREPARE PV OUTPUT ===== ##
+
+tt = time.time()
+print('\nComputing PV potential ...')
+
+# First get all required variables for computation of PV output
+pv_output = tilted_irrad.tilted_irradiance.to_dataset()
+
+pv_output['panelled_area'] = av_area.set_index('DF_UID').to_xarray().panelled_area
+pv_output['tilted_area'] = av_area.set_index('DF_UID').to_xarray().tilted_area
+pv_output['available_area'] = av_area.set_index('DF_UID').to_xarray().available_area
+
+pv_output['efficiency'] = eff['module_eff']
+pv_output['performance_factor'] = eff['PF_mean']
+
+# Compute total PV output
+pv_output['pv_potential'] = pv_output.tilted_irradiance * pv_output.panelled_area * pv_output.efficiency * pv_output.performance_factor
+
+print('Finished in %.3f seconds' %(time.time()-tt))
+
+tt = time.time()
+print('\nComputing yearly sums ...')
+
+# Compute yearly sums
+pv_output['yearly_kWh_m2'] = (util.get_yearly_sum(pv_output, 'tilted_irradiance')) / 1000
+pv_output['yearly_PV_kWh'] = (util.get_yearly_sum(pv_output, 'pv_potential' )) / 1000
+
+# Compute also yearly PV output for entire rooftops (without considering available area ratio)
+# pv_output['yearly_PV_all_area'] = pv_output.yearly_kWh_m2 * pv_output.tilted_area * pv_output.efficiency * pv_output.performance_factor
+
+print(pv_output)
+print('Finished in %.3f seconds' %(time.time()-tt))
+
+tt = time.time()
+print('\nSaving output ...')
+pv_save = pv_output[['tilted_irradiance', 'pv_potential', 'yearly_kWh_m2', 'yearly_PV_kWh']]
+pv_save.to_netcdf( OUTFILE_FP )
+print('Saved output in %s (%.3fs)' %(OUTFILE_FP, time.time()-tt))
+
+print('\nDONE - total execution time: %.3f seconds' %(time.time()-t0))
diff --git a/EW_scenarios_MMH/baseline_scenario/compute_PV_output_batch.py b/EW_scenarios_MMH/baseline_scenario/compute_PV_output_batch.py
new file mode 100644
index 0000000..16e4b1c
--- /dev/null
+++ b/EW_scenarios_MMH/baseline_scenario/compute_PV_output_batch.py
@@ -0,0 +1,97 @@
+import pandas as pd
+import xarray as xr
+import numpy as np
+from pvlib.tools import cosd
+from demand_mapping import get_yearly_sum
+
+import os
+import time
+import sys
+
+
+TILTED_IRRAD_FP = sys.argv[1] # name of the tilted radiation file
+
+ROOFS_FP = sys.argv[2] # name of the file with roof characteristics
+AVAIL_AREA_FP = sys.argv[3] # name of the file with predicted available area
+
+OUTFILE_FP = sys.argv[4] # name of the output file
+
+## ===== CONSTANTS ===== ##
+CHUNKSIZE = 1000
+
+EFFICIENCY_FP = '/work/hyenergy/output/solar_potential/technical_potential/pv_efficiencies_proj_roofs.nc'
+
+print('\nTilted irradiance file path: %s' %TILTED_IRRAD_FP)
+print('Available area file path: %s' %AVAIL_AREA_FP)
+print('Roof surfaces file path: %s' %ROOFS_FP)
+print('Efficiency file path: %s' %EFFICIENCY_FP)
+print('Output file path: %s\n\n' %OUTFILE_FP)
+
+## =========================================================================================== ##
+
+## ===== LOAD DATA ===== ##
+tt = time.time()
+t0 = time.time()
+
+irrad = xr.open_mfdataset( TILTED_IRRAD_FP, chunks={'DF_UID': CHUNKSIZE},
+ combine = 'by_coords', lock = None ).sortby('DF_UID')
+
+av_area = pd.read_csv( AVAIL_AREA_FP, usecols = ['DF_UID', 'tilted_area', 'available_area'])
+roofs = pd.read_csv( ROOFS_FP, usecols = ['DF_UID', 'NEIGUNG', 'panel_tilt'])
+eff = xr.open_mfdataset( EFFICIENCY_FP, chunks={'DF_UID': CHUNKSIZE},
+ combine = 'by_coords', lock = None ).sel(DF_UID = irrad.DF_UID.values)
+
+print('Loaded all data in %.3f seconds' %(time.time()-tt))
+
+av_area = av_area[av_area.DF_UID.isin(irrad.DF_UID.values)].merge( roofs[roofs.DF_UID.isin(irrad.DF_UID.values)],
+ on = 'DF_UID', how = 'left' )
+av_area['panelled_area'] = av_area.available_area / cosd( av_area.panel_tilt - av_area.NEIGUNG )
+
+print('Merged roof info with available area')
+
+## ===== PREPARE PV OUTPUT ===== ##
+
+tt = time.time()
+print('\nComputing PV potential ...')
+
+# First get all required variables for computation of PV output
+pv_output = irrad.tilted_irradiance.to_dataset()
+
+pv_output['panelled_area'] = av_area.set_index('DF_UID').to_xarray().panelled_area
+pv_output['tilted_area'] = av_area.set_index('DF_UID').to_xarray().tilted_area
+pv_output['available_area'] = av_area.set_index('DF_UID').to_xarray().available_area
+
+pv_output['efficiency'] = eff['module_eff']
+pv_output['performance_factor'] = eff['PF_mean']
+
+# Compute total PV output
+pv_output['pv_potential'] = ( pv_output.tilted_irradiance
+ * pv_output.panelled_area
+ * pv_output.efficiency
+ * pv_output.performance_factor )
+
+print('Finished in %.3f seconds' %(time.time()-tt))
+
+tt = time.time()
+print('\nComputing yearly sum ...')
+
+# Compute yearly sums
+pv_output['yearly_PV_kWh'] = get_yearly_sum( pv_output.pv_potential, week_weighting = False ) / 1000
+
+print(pv_output)
+print('Finished in %.3f seconds' %(time.time()-tt))
+
+tt = time.time()
+print('\nSaving output ...')
+pv_save = pv_output[['pv_potential', 'yearly_PV_kWh']]
+
+# reduce storage requirement
+pv_save['pv_potential' ] = pv_save['pv_potential' ].astype('float32')
+pv_save['yearly_PV_kWh'] = pv_save['yearly_PV_kWh'].astype('float32')
+
+print(pv_save)
+
+pv_save.to_netcdf( OUTFILE_FP )
+print('Saved output in %s (%.3fs)' %(OUTFILE_FP, time.time()-tt))
+
+print('\nDONE - total execution time: %.3f seconds' %(time.time()-t0))
diff --git a/EW_scenarios_MMH/baseline_scenario/compute_tilted_irrad_batch.py b/EW_scenarios_MMH/baseline_scenario/compute_tilted_irrad_batch.py
new file mode 100644
index 0000000..0a9cc91
--- /dev/null
+++ b/EW_scenarios_MMH/baseline_scenario/compute_tilted_irrad_batch.py
@@ -0,0 +1,105 @@
+import pandas as pd
+import xarray as xr
+import numpy as np
+from pvlib.tools import cosd
+from demand_mapping import get_yearly_sum
+
+import os
+import time
+import sys
+
+def read_csv_rows( fp, start, batch_size, usecols = None, OFFSET = 0 ):
+ field_names = pd.read_csv( fp, nrows = 0).columns
+ return pd.read_csv(fp, skiprows = start + OFFSET, nrows = batch_size, header = None, names = field_names, usecols = usecols)
+
+## ===== INPUTS ========== ##
+
+POA_IRRAD_FP = sys.argv[1] # name of the tilted radiation file
+ROOFS_FP = sys.argv[2] # name of the file with roof characteristics
+
+OUTFILE_FP = sys.argv[3] # name of the output file
+
+## ===== CONSTANTS ===== ##
+CHUNKSIZE = 10000
+
+FLAT_TILT = 30
+FLAT_DIST = 1
+
+FLAT_DEF = 0 # tilt angle below which roofs are considered flat (default 0)
+
+PARTLY_SHADING_FP = '/work/hyenergy/output/solar_potential/geographic_potential/available_area/shading_stats/CH_partly_shading_replaced_debiased.nc'
+SVF_FP = '/work/hyenergy/output/solar_potential/geographic_potential/tilted_irradiance/SVF_CH_replaced.csv'
+MUTUAL_SHADE_FP = '/work/hyenergy/output/solar_potential/technical_potential/flat_roofs/mutual_shading.nc'
+
+print('\nShading file path: %s' %PARTLY_SHADING_FP)
+print('POA irradiance file path: %s' %POA_IRRAD_FP)
+print('Skyview factor file path: %s' %SVF_FP)
+print('Mutual shading file path: %s' %MUTUAL_SHADE_FP)
+print('Roof surfaces file path: %s' %ROOFS_FP)
+print('Output file path: %s' %OUTFILE_FP)
+
+## =========================================================================================== ##
+
+## ===== LOAD DATA ===== ##
+tt = time.time()
+t0 = time.time()
+
+irrad = xr.open_mfdataset( POA_IRRAD_FP, chunks={'DF_UID': CHUNKSIZE},
+ combine = 'by_coords', lock = None ).sortby('DF_UID')
+
+shading = xr.open_mfdataset( PARTLY_SHADING_FP, chunks={'DF_UID': CHUNKSIZE},
+ combine = 'by_coords', lock = None ).sel(DF_UID = irrad.DF_UID.values)
+svf = pd.read_csv( SVF_FP )
+mutual_shade = xr.open_dataset( MUTUAL_SHADE_FP, lock = None )
+roofs = pd.read_csv( ROOFS_FP, usecols = ['DF_UID', 'NEIGUNG', 'panel_tilt'] )
+
+print('Loaded all data in %.3f seconds' %(time.time()-tt))
+
+flat_roofs = roofs[(roofs.DF_UID.isin(irrad.DF_UID.values)) & (roofs.NEIGUNG <= FLAT_DEF)]
+
+## ===== COMPUTE MEAN IRRADIANCE ON ROOFTOPS ===== ##
+
+print('\nComputing mean irradiance on rooftops ...')
+tt = time.time()
+
+tilted_irrad = xr.merge( [ shading, irrad ] ).fillna(0)
+mutual_shade_flat = mutual_shade.sel(tilt = FLAT_TILT,
+ distance = FLAT_DIST,
+ timestamp = irrad.timestamp[irrad.timestamp.isin(mutual_shade.timestamp)]
+ ).drop(['tilt', 'distance'])
+
+tilted_irrad['svf'] = svf[svf.DF_UID.isin(irrad.DF_UID.values)].set_index('DF_UID')['SVF_unbiased'].to_xarray()
+tilted_irrad['is_flat'] = tilted_irrad.DF_UID.isin( flat_roofs.DF_UID.values ).astype(int)
+
+# compute tilted irradiance for tilted and flat surfaces
+# by multiplying mutual shading with is_flat (0, 1)
+tilted_irrad['tilted_irradiance'] = ( tilted_irrad.partly_shading * tilted_irrad.poa_direct
+ * (1 - mutual_shade_flat.shading * tilted_irrad.is_flat)
+ + tilted_irrad.svf * tilted_irrad.poa_sky_diffuse
+ * (1 - mutual_shade_flat.SVF_shade * tilted_irrad.is_flat)
+ + tilted_irrad.poa_ground_diffuse )
+
+print(tilted_irrad)
+
+print('Finished in %.3f seconds' %(time.time()-tt))
+
+# Compute yearly sum
+tilted_irrad['yearly_kWh_m2'] = get_yearly_sum( tilted_irrad.tilted_irradiance, week_weighting = False ) / 1000
+
+## === SAVE OUTPUT FILE ==== ##
+
+tt = time.time()
+print('\nSaving output ...')
+irrad_save = tilted_irrad[[ 'tilted_irradiance', 'yearly_kWh_m2' ]]
+
+# reduce storage requirement
+irrad_save['tilted_irradiance'] = irrad_save['tilted_irradiance'].astype('float32')
+irrad_save['yearly_kWh_m2' ] = irrad_save['yearly_kWh_m2' ].astype('float32')
+
+print(irrad_save)
+
+irrad_save.to_netcdf( OUTFILE_FP )
+print('Saved output in %s (%.3fs)' %( OUTFILE_FP, time.time()-tt ))
+
+print('\nDONE - total execution time: %.3f seconds' %(time.time()-t0))
+
diff --git a/EW_scenarios_MMH/baseline_scenario/merge_annual_data.py b/EW_scenarios_MMH/baseline_scenario/merge_annual_data.py
new file mode 100644
index 0000000..2d170a8
--- /dev/null
+++ b/EW_scenarios_MMH/baseline_scenario/merge_annual_data.py
@@ -0,0 +1,90 @@
+import numpy as np
+import pandas as pd
+import xarray as xr
+
+import sys
+import os
+import time
+
+# # Define file paths
+
+COMM_FP = '/work/hyenergy/output/solar_potential/Sonnendach_Gemeinden_Dachflaechen.csv'
+
+PV_PATH = sys.argv[1]
+ROOF_FP = sys.argv[2]
+AREA_FP = sys.argv[3]
+
+OUTPATH = sys.argv[4]
+
+## CONSTANTS
+
+GT_IN = 'tilted_irrad_*.nc'
+PV_IN = 'pv_potential_*.nc'
+
+GT_OUT = 'tilted_irrad.nc'
+PV_OUT = 'pv_potential.nc'
+
+FLAT_TILT = 0
+MAX_ASPECT = 90
+MIN_AREA = 8
+
+# Print file paths
+print('\nCommune mapping file path: %s' %COMM_FP)
+print('Available area file path: %s' %AREA_FP)
+print('Roof surfaces file path: %s' %ROOF_FP)
+print('PV and irradiance input path: %s' %PV_PATH)
+print('Output file: %s\n\n' %OUTPATH)
+
+# # Load commune map
+
+tt = time.time()
+comm_map = pd.read_csv(COMM_FP, encoding = 'cp1250', usecols = ['DF_UID', 'BFS_NUMMER', 'NAME'] )
+
+# # Load roof data
+
+roofs = pd.read_csv(ROOF_FP, usecols = ['DF_UID', 'NEIGUNG', 'AUSRICHTUNG'])
+av_area = pd.read_csv(AREA_FP, usecols = ['DF_UID', 'available_area'])
+
+roof_info = roofs.merge(av_area, on = 'DF_UID').merge(comm_map, on = 'DF_UID', how = 'left')
+print('Loaded roof info in %.2fs' %(time.time()-tt))
+
+# # Get suitable roofs
+
+roof_info['suitable'] = ( ( (roof_info.NEIGUNG <= FLAT_TILT) | (abs(roof_info.AUSRICHTUNG) <= MAX_ASPECT) )
+ & (roof_info.available_area >= MIN_AREA) ).astype(int)
+
+
+# # Load prediction
+
+tilted_irrad = xr.open_mfdataset( os.path.join(PV_PATH, GT_IN) )
+pv_potential = xr.open_mfdataset( os.path.join(PV_PATH, PV_IN) )
+
+# Postprocess instead of weird merging
+if 'timestamp' in tilted_irrad.yearly_kWh_m2.coords:
+ tilted_irrad['yearly_kWh_m2'] = tilted_irrad['yearly_kWh_m2'].isel( timestamp = 0 )
+
+if 'timestamp' in pv_potential.yearly_PV_kWh.coords:
+ pv_potential['yearly_PV_kWh'] = pv_potential['yearly_PV_kWh'].isel( timestamp = 0 )
+
+print(tilted_irrad)
+print(pv_potential)
+
+tt = time.time()
+tilted_irrad.to_netcdf( os.path.join(PV_PATH, GT_OUT) )
+pv_potential.to_netcdf( os.path.join(PV_PATH, PV_OUT) )
+print('Saved hourly PV and radiation data in %.2fs\n' %(time.time()-tt))
+
+tt = time.time()
+roof_info = roof_info.merge( tilted_irrad.yearly_kWh_m2.to_series().rename('Gt_kWh_m2'), on = 'DF_UID' )
+roof_info = roof_info.merge( pv_potential.yearly_PV_kWh.to_series().rename('EPV_kWh'), on = 'DF_UID' )
+
+print('Processed annual PV data in %.2fs\n' %(time.time()-tt))
+
+# ### Save rooftop data
+
+tt = time.time()
+roof_save = roof_info.drop(columns = ['NEIGUNG', 'AUSRICHTUNG', 'NAME'])
+print(roof_save.head())
+
+roof_save.to_csv( OUTPATH, index = False )
+print('\nSaved annual PV data in %.2fs' %(time.time()-tt))
diff --git a/EW_scenarios_MMH/check_files_flat_EW.py b/EW_scenarios_MMH/check_files_flat_EW.py
new file mode 100644
index 0000000..db67e6c
--- /dev/null
+++ b/EW_scenarios_MMH/check_files_flat_EW.py
@@ -0,0 +1,101 @@
+import xarray as xr
+import sys
+import os
+
+fileDir = sys.argv[1]
+batches = int(sys.argv[2])
+
+WORKDIR = '/scratch/walch/workdir_solar_EW_scenarios_EW'
+FLATDIR = '/scratch/walch/workdir_solar_EW_scenarios'
+
+ROOF_FP = os.path.join(FLATDIR, 'files/flat_roofs.csv')
+AREA_FP = os.path.join(FLATDIR, 'files/PRED_avail_area_flat.csv')
+
+for batch in range(batches):
+ print(batch)
+ poa_E_fp = os.path.join(fileDir, 'east', 'poa_irradiance_%d.nc' %batch)
+ poa_W_fp = os.path.join(fileDir, 'west', 'poa_irradiance_%d.nc' %batch)
+
+ irrad_E_fp = os.path.join(fileDir, 'east', 'tilted_irrad_%d.nc' %batch)
+ irrad_W_fp = os.path.join(fileDir, 'west', 'tilted_irrad_%d.nc' %batch)
+
+ irrad_fp = os.path.join(fileDir, 'tilted_irrad_%d.nc' %batch)
+ pvPot_fp = os.path.join(fileDir, 'pv_potential_%d.nc' %batch)
+
+ BREAK_E = False
+ BREAK_W = False
+
+ try:
+ poa_E = xr.open_dataset(poa_E_fp)
+ except:
+ print('Cannot open %s' %(poa_E_fp))
+ BREAK_E = True
+
+ if BREAK_E is False:
+ if poa_E.poa_direct.sum() == 0:
+ print('ERROR in %s\nDELETED FILE AND RE-RUN POA COMPUTATION' %poa_E_fp)
+ poa_E.close()
+ os.remove(poa_E_fp)
+ BREAK_E = True
+
+ try:
+ poa_W = xr.open_dataset(poa_W_fp)
+ except:
+ print('Cannot open %s' %(poa_W_fp))
+ BREAK_W = True
+
+ if BREAK_W is False:
+ if poa_W.poa_direct.sum() == 0:
+ print('ERROR in %s\nDELETED FILE AND RE-RUN POA COMPUTATION' %poa_W_fp)
+ poa_W.close()
+ os.remove(poa_W_fp)
+ BREAK_W = True
+
+ if BREAK_E is False:
+ try:
+ irrad = xr.open_dataset(irrad_E_fp)
+
+ except:
+ print('Cannot open %s' %(irrad_E_fp))
+ BREAK_E = True
+
+ if BREAK_E is False:
+ if irrad.yearly_kWh_m2.sum() == 0:
+ print('ERROR in %s' %irrad_E_fp)
+ irrad.close()
+
+ os.system('python %s/compute_tilted_irrad_batch_flat_EW.py %s %s %s' %(WORKDIR, poa_E_fp, ROOF_FP, irrad_E_fp))
+
+ if BREAK_W is False:
+ try:
+ irrad = xr.open_dataset(irrad_W_fp)
+
+ except:
+ print('Cannot open %s' %(irrad_W_fp))
+ BREAK_W = True
+
+ if BREAK_W is False:
+ if irrad.yearly_kWh_m2.sum() == 0:
+ print('ERROR in %s' %irrad_W_fp)
+ irrad.close()
+
+ os.system('python %s/compute_tilted_irrad_batch_flat_EW.py %s %s %s' %(WORKDIR, poa_W_fp, ROOF_FP, irrad_W_fp))
+
+ if BREAK_W or BREAK_E: continue
+
+ try:
+ pvPot = xr.open_dataset(pvPot_fp)
+ except:
+ print('Cannot open %s' %pvPot_fp)
+ os.system('python %s/compute_PV_output_batch_flat_EW.py %s %s %s %s %s %s' %(WORKDIR, irrad_E_fp, irrad_W_fp,
+ ROOF_FP, AREA_FP, irrad_fp, pvPot_fp))
+ continue
+
+ if pvPot.yearly_PV_kWh.sum() > 0:
+ continue
+
+ print('ERROR in %s' %pvPot_fp)
+ pvPot.close()
+
+ os.system('python %s/compute_PV_output_batch_flat_EW.py %s %s %s %s %s %s' %(WORKDIR, irrad_E_fp, irrad_W_fp,
+ ROOF_FP, AREA_FP, irrad_fp, pvPot_fp))
\ No newline at end of file
diff --git a/EW_scenarios_MMH/compute_PV_output_batch_flat_EW.py b/EW_scenarios_MMH/compute_PV_output_batch_flat_EW.py
new file mode 100644
index 0000000..f9b65ab
--- /dev/null
+++ b/EW_scenarios_MMH/compute_PV_output_batch_flat_EW.py
@@ -0,0 +1,115 @@
+import pandas as pd
+import xarray as xr
+import numpy as np
+from pvlib.tools import cosd
+from demand_mapping import get_yearly_sum
+
+import os
+import time
+import sys
+
+
+TILTED_IRRAD_E_FP = sys.argv[1] # name of the tilted radiation file (east-facing)
+TILTED_IRRAD_W_FP = sys.argv[2] # name of the tilted radiation file (west-facing)
+
+ROOFS_FP = sys.argv[3] # name of the file with roof characteristics
+AVAIL_AREA_FP = sys.argv[4] # name of the file with predicted available area
+
+OUTIRRAD_FP = sys.argv[5] # name of the output file (average tilted radiation)
+OUTFILE_FP = sys.argv[6] # name of the output file (pv potential)
+
+## ===== CONSTANTS ===== ##
+CHUNKSIZE = 1000
+
+EFFICIENCY_FP = '/work/hyenergy/output/solar_potential/technical_potential/pv_efficiencies_proj_roofs.nc'
+
+print('\nTilted irradiance (east) file path: %s' %TILTED_IRRAD_E_FP)
+print('Tilted irradiance (west) file path: %s' %TILTED_IRRAD_W_FP)
+print('Available area file path: %s' %AVAIL_AREA_FP)
+print('Roof surfaces file path: %s' %ROOFS_FP)
+print('Efficiency file path: %s' %EFFICIENCY_FP)
+print('Output file path (tilted radiation): %s' %OUTFILE_FP)
+print('Output file path (PV Potential): %s\n\n' %OUTFILE_FP)
+
+## =========================================================================================== ##
+
+## ===== LOAD RADIATION DATA ===== ##
+tt = time.time()
+t0 = time.time()
+
+irrad_E = xr.open_mfdataset( TILTED_IRRAD_E_FP, chunks={'DF_UID': CHUNKSIZE},
+ combine = 'by_coords', lock=False ).sortby('DF_UID')
+
+irrad_W = xr.open_mfdataset( TILTED_IRRAD_W_FP, chunks={'DF_UID': CHUNKSIZE},
+ combine = 'by_coords', lock=False ).sortby('DF_UID')
+
+irrad = 0.5 * (irrad_E + irrad_W)
+
+irrad.to_netcdf( OUTIRRAD_FP )
+print('Saved average tilted radiation in %s (%.3fs)\n' %(OUTIRRAD_FP, time.time()-tt))
+
+## ===== LOAD OTHER DATA ===== ##
+
+av_area = pd.read_csv( AVAIL_AREA_FP, usecols = ['DF_UID', 'tilted_area', 'available_area'])
+roofs = pd.read_csv( ROOFS_FP, usecols = ['DF_UID', 'NEIGUNG', 'panel_tilt'])
+eff = xr.open_mfdataset( EFFICIENCY_FP, chunks={'DF_UID': CHUNKSIZE},
+ combine = 'by_coords', lock=False ).sel(DF_UID = irrad.DF_UID.values)
+
+print('Loaded all data in %.3f seconds' %(time.time()-tt))
+
+av_area = av_area[av_area.DF_UID.isin(irrad.DF_UID.values)].merge( roofs[roofs.DF_UID.isin(irrad.DF_UID.values)],
+ on = 'DF_UID', how = 'left' )
+av_area['panelled_area'] = av_area.available_area / cosd( av_area.panel_tilt - av_area.NEIGUNG )
+
+print('Merged roof info with available area')
+
+## ===== PREPARE PV OUTPUT ===== ##
+
+tt = time.time()
+print('\nComputing PV potential ...')
+
+# First get all required variables for computation of PV output
+pv_output = irrad.tilted_irradiance.to_dataset()
+
+pv_output['panelled_area'] = av_area.set_index('DF_UID').to_xarray().panelled_area
+pv_output['tilted_area'] = av_area.set_index('DF_UID').to_xarray().tilted_area
+pv_output['available_area'] = av_area.set_index('DF_UID').to_xarray().available_area
+
+pv_output['efficiency'] = eff['module_eff']
+pv_output['performance_factor'] = eff['PF_mean']
+
+# Compute total PV output
+pv_output['pv_potential'] = ( pv_output.tilted_irradiance
+ * pv_output.panelled_area
+ * pv_output.efficiency
+ * pv_output.performance_factor )
+
+print('Finished in %.3f seconds' %(time.time()-tt))
+
+tt = time.time()
+print('\nComputing yearly sum ...')
+
+# Compute yearly sums
+pv_output['yearly_PV_kWh'] = get_yearly_sum( pv_output.pv_potential, week_weighting = False ) / 1000
+
+print(pv_output)
+print('Finished in %.3f seconds' %(time.time()-tt))
+
+tt = time.time()
+print('\nSaving output ...')
+pv_save = pv_output[['pv_potential', 'yearly_PV_kWh']]
+
+# reduce storage requirement
+pv_save['pv_potential' ] = pv_save['pv_potential' ].astype('float32')
+pv_save['yearly_PV_kWh'] = pv_save['yearly_PV_kWh'].astype('float32')
+
+print(pv_save)
+
+pv_save.to_netcdf( OUTFILE_FP )
+print('Saved output in %s (%.3fs)' %(OUTFILE_FP, time.time()-tt))
+
+irrad_E.close()
+irrad_W.close()
+eff.close()
+
+print('\nDONE - total execution time: %.3f seconds' %(time.time()-t0))
diff --git a/EW_scenarios_MMH/compute_tilted_irrad_batch_flat_EW.py b/EW_scenarios_MMH/compute_tilted_irrad_batch_flat_EW.py
new file mode 100644
index 0000000..bdf65e9
--- /dev/null
+++ b/EW_scenarios_MMH/compute_tilted_irrad_batch_flat_EW.py
@@ -0,0 +1,106 @@
+import pandas as pd
+import xarray as xr
+import numpy as np
+from pvlib.tools import cosd
+from demand_mapping import get_yearly_sum
+
+import os
+import time
+import sys
+
+def read_csv_rows( fp, start, batch_size, usecols = None, OFFSET = 0 ):
+ field_names = pd.read_csv( fp, nrows = 0).columns
+ return pd.read_csv(fp, skiprows = start + OFFSET, nrows = batch_size, header = None, names = field_names, usecols = usecols)
+
+## ===== INPUTS ========== ##
+
+POA_IRRAD_FP = sys.argv[1] # name of the tilted radiation file
+ROOFS_FP = sys.argv[2] # name of the file with roof characteristics
+
+OUTFILE_FP = sys.argv[3] # name of the output file
+
+## ===== CONSTANTS ===== ##
+CHUNKSIZE = 10000
+
+FLAT_TILT = 15
+FLAT_DIST = 1
+
+FLAT_DEF = 10 # tilt angle below which roofs are considered flat (default 0)
+
+PARTLY_SHADING_FP = '/work/hyenergy/output/solar_potential/geographic_potential/available_area/shading_stats/CH_partly_shading_replaced_debiased.nc'
+SVF_FP = '/work/hyenergy/output/solar_potential/geographic_potential/tilted_irradiance/SVF_CH_replaced.csv'
+MUTUAL_SHADE_FP = '/work/hyenergy/output/solar_potential/technical_potential/flat_roofs/mutual_shading.nc'
+
+print('\nShading file path: %s' %PARTLY_SHADING_FP)
+print('POA irradiance file path: %s' %POA_IRRAD_FP)
+print('Skyview factor file path: %s' %SVF_FP)
+print('Mutual shading file path: %s' %MUTUAL_SHADE_FP)
+print('Roof surfaces file path: %s' %ROOFS_FP)
+print('Output file path: %s' %OUTFILE_FP)
+
+## =========================================================================================== ##
+
+## ===== LOAD DATA ===== ##
+tt = time.time()
+t0 = time.time()
+
+irrad = xr.open_mfdataset( POA_IRRAD_FP, chunks={'DF_UID': CHUNKSIZE},
+ combine = 'by_coords', lock=False ).sortby('DF_UID')
+
+shading = xr.open_mfdataset( PARTLY_SHADING_FP, chunks={'DF_UID': CHUNKSIZE},
+ combine = 'by_coords', lock=False ).sel(DF_UID = irrad.DF_UID.values)
+svf = pd.read_csv( SVF_FP )
+mutual_shade = xr.open_dataset( MUTUAL_SHADE_FP )
+roofs = pd.read_csv( ROOFS_FP, usecols = ['DF_UID', 'NEIGUNG', 'panel_tilt'] )
+
+print('Loaded all data in %.3f seconds' %(time.time()-tt))
+
+flat_roofs = roofs[(roofs.DF_UID.isin(irrad.DF_UID.values)) & (roofs.NEIGUNG <= FLAT_DEF)]
+
+## ===== COMPUTE MEAN IRRADIANCE ON ROOFTOPS ===== ##
+
+print('\nComputing mean irradiance on rooftops ...')
+tt = time.time()
+
+tilted_irrad = xr.merge( [ shading, irrad ] ).fillna(0)
+mutual_shade_flat = mutual_shade.sel(tilt = FLAT_TILT,
+ distance = FLAT_DIST,
+ timestamp = irrad.timestamp[irrad.timestamp.isin(mutual_shade.timestamp)]
+ ).drop(['tilt', 'distance'])
+
+tilted_irrad['svf'] = svf[svf.DF_UID.isin(irrad.DF_UID.values)].set_index('DF_UID')['SVF_unbiased'].to_xarray()
+tilted_irrad['is_flat'] = tilted_irrad.DF_UID.isin( flat_roofs.DF_UID.values ).astype(int)
+
+# compute tilted irradiance for tilted and flat surfaces
+# by multiplying mutual shading with is_flat (0, 1)
+tilted_irrad['tilted_irradiance'] = ( tilted_irrad.partly_shading * tilted_irrad.poa_direct
+ * (1 - mutual_shade_flat.shading * tilted_irrad.is_flat)
+ + tilted_irrad.svf * tilted_irrad.poa_sky_diffuse
+ * (1 - mutual_shade_flat.SVF_shade * tilted_irrad.is_flat)
+ + tilted_irrad.poa_ground_diffuse )
+
+print(tilted_irrad)
+
+print('Finished in %.3f seconds' %(time.time()-tt))
+
+# Compute yearly sum
+tilted_irrad['yearly_kWh_m2'] = get_yearly_sum( tilted_irrad.tilted_irradiance, week_weighting = False ) / 1000
+
+## === SAVE OUTPUT FILE ==== ##
+
+tt = time.time()
+print('\nSaving output ...')
+irrad_save = tilted_irrad[[ 'tilted_irradiance', 'yearly_kWh_m2' ]]
+
+# reduce storage requirement
+irrad_save['tilted_irradiance'] = irrad_save['tilted_irradiance'].astype('float32')
+irrad_save['yearly_kWh_m2' ] = irrad_save['yearly_kWh_m2' ].astype('float32')
+print(irrad_save)
+
+irrad_save.to_netcdf( OUTFILE_FP )
+print('Saved output in %s (%.3fs)' %( OUTFILE_FP, time.time()-tt ))
+
+irrad.close()
+shading.close()
+print('\nDONE - total execution time: %.3f seconds' %(time.time()-t0))
+
diff --git a/EW_scenarios_MMH/merge_annual_data.py b/EW_scenarios_MMH/merge_annual_data.py
new file mode 100644
index 0000000..f07cc6b
--- /dev/null
+++ b/EW_scenarios_MMH/merge_annual_data.py
@@ -0,0 +1,89 @@
+import numpy as np
+import pandas as pd
+import xarray as xr
+
+import sys
+import os
+import time
+
+# # Define file paths
+
+COMM_FP = '/work/hyenergy/output/solar_potential/Sonnendach_Gemeinden_Dachflaechen.csv'
+
+PV_PATH = sys.argv[1]
+ROOF_FP = sys.argv[2]
+AREA_FP = sys.argv[3]
+
+OUTPATH = sys.argv[4]
+
+## CONSTANTS
+
+GT_IN = 'tilted_irrad_*.nc'
+PV_IN = 'pv_potential_*.nc'
+
+GT_OUT = 'tilted_irrad.nc'
+PV_OUT = 'pv_potential.nc'
+
+FLAT_TILT = 10
+MAX_ASPECT = 90
+
+# Print file paths
+print('\nCommune mapping file path: %s' %COMM_FP)
+print('Available area file path: %s' %AREA_FP)
+print('Roof surfaces file path: %s' %ROOF_FP)
+print('PV and irradiance input path: %s' %PV_PATH)
+print('Output file: %s\n\n' %OUTPATH)
+
+# # Load commune map
+
+tt = time.time()
+comm_map = pd.read_csv(COMM_FP, encoding = 'cp1250', usecols = ['DF_UID', 'BFS_NUMMER', 'NAME'] )
+
+# # Load roof data
+
+roofs = pd.read_csv(ROOF_FP, usecols = ['DF_UID', 'NEIGUNG', 'AUSRICHTUNG'])
+av_area = pd.read_csv(AREA_FP, usecols = ['DF_UID', 'available_area'])
+
+roof_info = roofs.merge(av_area, on = 'DF_UID').merge(comm_map, on = 'DF_UID', how = 'left')
+print('Loaded roof info in %.2fs' %(time.time()-tt))
+
+# # Get suitable roofs
+
+roof_info['suitable'] = ( ( (roof_info.NEIGUNG <= FLAT_TILT) | (abs(roof_info.AUSRICHTUNG) <= MAX_ASPECT) )
+ & (roof_info.available_area >= 8) ).astype(int)
+
+
+# # Load prediction
+
+tilted_irrad = xr.open_mfdataset( os.path.join(PV_PATH, GT_IN) )
+pv_potential = xr.open_mfdataset( os.path.join(PV_PATH, PV_IN) )
+
+# Postprocess instead of weird merging
+if 'timestamp' in tilted_irrad.yearly_kWh_m2.coords:
+ tilted_irrad['yearly_kWh_m2'] = tilted_irrad['yearly_kWh_m2'].isel( timestamp = 0 )
+
+if 'timestamp' in pv_potential.yearly_PV_kWh.coords:
+ pv_potential['yearly_PV_kWh'] = pv_potential['yearly_PV_kWh'].isel( timestamp = 0 )
+
+print(tilted_irrad)
+print(pv_potential)
+
+tt = time.time()
+tilted_irrad.to_netcdf( os.path.join(PV_PATH, GT_OUT) )
+pv_potential.to_netcdf( os.path.join(PV_PATH, PV_OUT) )
+print('Saved hourly PV and radiation data in %.2fs\n' %(time.time()-tt))
+
+tt = time.time()
+roof_info = roof_info.merge( tilted_irrad.yearly_kWh_m2.to_series().rename('Gt_kWh_m2'), on = 'DF_UID' )
+roof_info = roof_info.merge( pv_potential.yearly_PV_kWh.to_series().rename('EPV_kWh'), on = 'DF_UID' )
+
+print('Processed annual PV data in %.2fs\n' %(time.time()-tt))
+
+# ### Save rooftop data
+
+tt = time.time()
+roof_save = roof_info.drop(columns = ['NEIGUNG', 'AUSRICHTUNG', 'NAME'])
+print(roof_save.head())
+
+roof_save.to_csv( OUTPATH, index = False )
+print('\nSaved annual PV data in %.2fs' %(time.time()-tt))
diff --git a/EW_scenarios_MMH/merge_poa_batch.py b/EW_scenarios_MMH/merge_poa_batch.py
new file mode 100644
index 0000000..c01ba8e
--- /dev/null
+++ b/EW_scenarios_MMH/merge_poa_batch.py
@@ -0,0 +1,19 @@
+import xarray as xr
+import sys
+import os
+
+## INPUT ##
+
+OUTFILE = sys.argv[1]
+
+## OUTPUT DEFINITION ##
+
+INFILES = os.path.splitext(OUTFILE)[0] + '_*' + os.path.splitext(OUTFILE)[1]
+indata = xr.open_mfdataset(INFILES, combine='by_coords', lock = False)
+
+## SAVE AS ONE FILE ##
+
+indata.to_netcdf(OUTFILE)
+
+print('Saved %s' %OUTFILE)
+indata.close()
\ No newline at end of file
diff --git a/EW_scenarios_MMH/poa_irradiance.py b/EW_scenarios_MMH/poa_irradiance.py
new file mode 100644
index 0000000..e794885
--- /dev/null
+++ b/EW_scenarios_MMH/poa_irradiance.py
@@ -0,0 +1,181 @@
+import numpy as np
+import pandas as pd
+import xarray as xr
+
+import os
+import sys
+import time
+
+import pvlib.irradiance as pvlib
+import pyproj
+
+def round_to_interval(x, round_int):
+ return np.round(x / round_int) * round_int
+
+def merge_ALB_on_meteo(albedo_df, meteo_df):
+ # function takes two dataframes of albedo and meteo and matches based on month, x_idx. y_idx
+ meteo_df['month'] = meteo_df['timestamp'].dt.month
+ return meteo_df.merge(albedo_df, on = ['x', 'y', 'month']).drop('month', axis = 1)
+
+def map_coords_to_pixel(coords, offset, pixel_res, decimals = 1 ):
+ # offset should be either scalar or of type np.array()
+ tmp_coords = coords - offset
+ tmp_coords_rounded = round_to_interval(tmp_coords, pixel_res)
+ return (tmp_coords_rounded + offset).round( decimals )
+
+##################### INPUTS ####################
+
+meteo_file = sys.argv[1]
+print('\nMeteo data loaded from %s' %meteo_file)
+
+rooftop_file = sys.argv[2]
+print('Rooftop data loaded from %s' %rooftop_file)
+
+savefile = sys.argv[3]
+print('Data will be saved to %s' %savefile)
+
+'''
+#### TMP #####
+fp = '/Volumes/Seagate Backup Plus Drive/DOKUMENTE/EPFL/data/'
+
+meteo_file = os.path.join(fp, 'Meteo_data/Meteoswiss_satellite/raw_data/2010_physical_potential_interp.nc')
+print('\nMeteo data loaded from %s' %meteo_file)
+
+rooftop_file = os.path.join(fp, 'Results/PV_w_uncertainty/CH_ROOFS_all_replaced.csv')
+print('Rooftop data loaded from %s' %rooftop_file)
+
+#savefile = 'hourly_poa_script.nc'
+#print('Data will be saved to %s' %savefile)
+#### END - TMP #####
+'''
+
+if len(sys.argv) > 4:
+ albedo_file = sys.argv[4]
+ albedo_in = 'map'
+ print('Albedo data loaded from %s' %albedo_file)
+
+if len(sys.argv) > 6:
+ start_index = int(sys.argv[5])
+ n_rows = int(sys.argv[6])
+ get_slice = True
+ print('Loading slice: %d rows, starting from ID %d\n' %(n_rows, start_index))
+else:
+ get_slice = False
+ start_index = 1
+ n_rows = None
+
+##################### CONSTANTS ##########################
+
+ROOFTOP_FEATURES = ['XCOORD', 'YCOORD', 'DF_UID', 'FLAECHE', 'panel_tilt', 'panel_direction']
+UNIQUE_FEATURE = 'DF_UID'
+DIFFUSE_MODEL = 'perez'
+
+albedo_input = {
+ 'constant' : lambda ds : 0.2 ,
+ 'map' : lambda ds : ds['ALB']
+}
+
+ZENITH_THRESH = 2 # Threshold for considering 0 direct radiation (in deg. from horizon)
+
+PIXEL_RES = 200
+OFFSET = 87.5
+
+################################################
+
+# Create dataframe of rooftops
+field_names = pd.read_csv(rooftop_file, nrows = 0).columns
+rooftops_all = pd.read_csv(rooftop_file, skiprows = start_index, nrows = n_rows, header = None, names = field_names)
+rooftops = rooftops_all.loc[:, ROOFTOP_FEATURES]
+
+if len(rooftops) == 0:
+ sys.exit('No rooftops found.')
+
+# Open datasets
+meteo = xr.open_dataset( meteo_file )
+
+# if only a part of the data is queried, use only the subset of the meteo data in that range, for efficiency reasons
+if get_slice:
+ meteo = meteo.sel( x = slice( rooftops.XCOORD.min()-PIXEL_RES, rooftops.XCOORD.max()+PIXEL_RES), y = slice( rooftops.YCOORD.min()-PIXEL_RES, rooftops.YCOORD.max()+PIXEL_RES) )
+
+if albedo_file is not None:
+ albedo = xr.open_dataset( albedo_file )
+ if get_slice:
+ albedo = albedo.sel( x = slice( rooftops.XCOORD.min()-PIXEL_RES, rooftops.XCOORD.max()+PIXEL_RES), y = slice( rooftops.YCOORD.min()-PIXEL_RES, rooftops.YCOORD.max()+PIXEL_RES) )
+
+# link rooftops with meteo pixels
+px_coord = ['x', 'y']
+rooftops[px_coord] = map_coords_to_pixel( rooftops[['XCOORD','YCOORD']], OFFSET, PIXEL_RES ).round(1)
+
+tt = time.time()
+meteo_df = meteo.to_dataframe().reset_index().dropna()
+meteo_df[px_coord] = meteo_df[px_coord].round(1)
+print('Created meteo dataframe %.2fs' %(time.time()-tt))
+
+# if an albedo was given, merge a column of ALB to meteo_df
+if albedo_file is not None:
+ albedo_df = albedo.ALB.to_dataframe().reset_index().dropna()
+ albedo_df[px_coord] = albedo_df[px_coord].round(1)
+
+ meteo_df = merge_ALB_on_meteo( albedo_df, meteo_df )
+
+# merge rooftops with meteo data
+tt = time.time()
+merged_dataset = rooftops.merge(meteo_df, on = px_coord, how = 'left').drop(columns = px_coord)
+print('Merged in %.2fs' %(time.time()-tt))
+
+tmp_fp = os.path.join( os.path.split( savefile )[0], 'TMP_merged_dataset.csv')
+# merged_dataset.to_csv( tmp_fp )
+print('Saved temporary merged dataset in %s' %tmp_fp)
+# exit()
+
+################################################
+
+# Compute tilted irradiance for entire dataframe
+tt = time.time()
+irradiance_components = pvlib.get_total_irradiance(
+ surface_tilt = merged_dataset['panel_tilt'],
+ surface_azimuth = merged_dataset['panel_direction'],
+ solar_zenith = merged_dataset['apparent_zenith'],
+ solar_azimuth = merged_dataset['azimuth'],
+ dni = merged_dataset['DNI'],
+ ghi = merged_dataset['SIS'],
+ dhi = merged_dataset['DHI'],
+ dni_extra = merged_dataset['DNI_extra'],
+ airmass = merged_dataset['rel_airmass'],
+ albedo = albedo_input[albedo_in](merged_dataset),
+ model = DIFFUSE_MODEL
+)
+
+print('\nComputed irradiance in %.2fs' %(time.time()-tt))
+
+# add UNIQUE_FEATURE and timestamp to the tilted irradiance and drop data that can be calculated (global and diffuse)
+tt = time.time()
+tilted_irradiance_features = [ UNIQUE_FEATURE, 'timestamp' ]
+tilted_irradiance = pd.concat([ merged_dataset.loc[: ,tilted_irradiance_features], irradiance_components], axis = 1)
+tilted_irradiance.drop(['poa_global' , 'poa_diffuse'], axis = 1, inplace = True)
+
+print('\nAdded columns for unique identification to dataframe in %.2fs' %(time.time()-tt))
+
+# Clean data
+tilted_irradiance.loc[merged_dataset.apparent_zenith >= (90-ZENITH_THRESH), 'poa_direct'] = 0
+
+### Convert pandas dataframe back to xarray to save in a more efficient format
+tt = time.time()
+data_xr = tilted_irradiance.set_index(['DF_UID', 'timestamp' ]).to_xarray()
+data_out = xr.merge([data_xr])
+print('Indexed data in %.2fs' %(time.time()-tt))
+
+# Reduce file size
+tt = time.time()
+for var in data_out.variables:
+ if var in ['timestamp', 'DF_UID']: continue
+
+ data_out[var] = data_out[var].astype('float32')
+print('Converted data to float32 in %.2fs' %(time.time()-tt))
+
+print(data_out)
+
+# save output
+tt = time.time()
+data_out.to_netcdf( savefile )
+print('\nSaved file as %s in %.2fs' %(savefile, time.time()-tt))
diff --git a/Potential_hourly/EW_scenarios/1_Preprocess_flat_EW.ipynb b/Potential_hourly/EW_scenarios/1_Preprocess_flat_EW.ipynb
index ff78a1d..d8ad980 100644
--- a/Potential_hourly/EW_scenarios/1_Preprocess_flat_EW.ipynb
+++ b/Potential_hourly/EW_scenarios/1_Preprocess_flat_EW.ipynb
@@ -1,812 +1,821 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/walch/.local/lib/python3.6/site-packages/dask/config.py:129: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.\n",
" data = yaml.load(f.read()) or {}\n",
"/home/walch/.local/lib/python3.6/site-packages/distributed/config.py:20: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.\n",
" defaults = yaml.load(f)\n"
]
}
],
"source": [
"import pandas as pd\n",
"import xarray as xr\n",
"import numpy as np\n",
"\n",
"import os\n",
"import time"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"FLAT_TILT = 15\n",
"FLAT_DEF = 10"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"OUTPATH = '/scratch/walch/workdir_solar_EW_scenarios/files'"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Select flat roofs"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"ROOF_FP = '/work/hyenergy/output/solar_potential/geographic_potential/CH_ROOFS_all_replaced.csv'\n",
"ROOFTOP_FEATURES =['XCOORD', 'YCOORD', 'DF_UID', 'FLAECHE', 'panel_tilt', 'panel_direction', 'NEIGUNG', 'AUSRICHTUNG']"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"ROOFS = pd.read_csv( ROOF_FP, usecols = ROOFTOP_FEATURES )"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
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" <td>646720.936012</td>\n",
" <td>256570.693297</td>\n",
" <td>139.0</td>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>41140</th>\n",
" <td>41697</td>\n",
" <td>575.268597</td>\n",
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"</table>\n",
"</div>"
],
"text/plain": [
" DF_UID FLAECHE NEIGUNG AUSRICHTUNG XCOORD YCOORD \\\n",
"41133 41690 307.476360 10 -41.0 646720.936012 256570.693297 \n",
"41140 41697 575.268597 25 -41.0 646747.951717 256599.999028 \n",
"\n",
" panel_direction panel_tilt \n",
"41133 139.0 10 \n",
"41140 139.0 25 "
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ROOFS[ROOFS.DF_UID.isin([41697,41690])]"
]
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"flat_roofs = ROOFS[ROOFS.NEIGUNG <= FLAT_DEF]"
]
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
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" <th></th>\n",
" <th>DF_UID</th>\n",
" <th>FLAECHE</th>\n",
" <th>NEIGUNG</th>\n",
" <th>AUSRICHTUNG</th>\n",
" <th>XCOORD</th>\n",
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" <tr>\n",
" <th>49</th>\n",
" <td>51</td>\n",
" <td>609.169499</td>\n",
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" <td>30</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" DF_UID FLAECHE NEIGUNG AUSRICHTUNG XCOORD YCOORD \\\n",
"6 7 16.457870 9 -81.0 621706.188280 254171.306654 \n",
"31 33 27.568645 0 0.0 622443.648193 254088.496398 \n",
"47 49 47.891853 9 119.0 624406.717556 254000.030961 \n",
"48 50 681.609660 0 0.0 624744.786885 254213.178640 \n",
"49 51 609.169499 0 0.0 624700.866428 254270.417857 \n",
"\n",
" panel_direction panel_tilt \n",
"6 99.0 9 \n",
"31 180.0 30 \n",
"47 299.0 9 \n",
"48 180.0 30 \n",
"49 180.0 30 "
]
},
- "execution_count": 7,
+ "execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"flat_roofs.head()"
]
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1888887"
]
},
- "execution_count": 8,
+ "execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(flat_roofs)"
]
},
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "flat_roofs.to_csv( os.path.join( OUTPATH, 'flat_roofs_baseline.csv' ), index = False )"
+ ]
+ },
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Edit flat roof info"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/walch/miniconda3/envs/py3_geo/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
" \"\"\"Entry point for launching an IPython kernel.\n"
]
}
],
"source": [
"flat_roofs['panel_tilt'] = FLAT_TILT"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"flat_roofs_E = flat_roofs.copy()\n",
"flat_roofs_E['panel_direction'] = 90"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
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"text/plain": [
" DF_UID FLAECHE NEIGUNG AUSRICHTUNG XCOORD YCOORD \\\n",
"6 7 16.457870 9 -81.0 621706.188280 254171.306654 \n",
"31 33 27.568645 0 0.0 622443.648193 254088.496398 \n",
"47 49 47.891853 9 119.0 624406.717556 254000.030961 \n",
"48 50 681.609660 0 0.0 624744.786885 254213.178640 \n",
"49 51 609.169499 0 0.0 624700.866428 254270.417857 \n",
"\n",
" panel_direction panel_tilt \n",
"6 90 15 \n",
"31 90 15 \n",
"47 90 15 \n",
"48 90 15 \n",
"49 90 15 "
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"flat_roofs_E.head()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"flat_roofs_W = flat_roofs.copy()\n",
"flat_roofs_W['panel_direction'] = 270"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
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],
"text/plain": [
" DF_UID FLAECHE NEIGUNG AUSRICHTUNG XCOORD YCOORD \\\n",
"6 7 16.457870 9 -81.0 621706.188280 254171.306654 \n",
"31 33 27.568645 0 0.0 622443.648193 254088.496398 \n",
"47 49 47.891853 9 119.0 624406.717556 254000.030961 \n",
"48 50 681.609660 0 0.0 624744.786885 254213.178640 \n",
"49 51 609.169499 0 0.0 624700.866428 254270.417857 \n",
"\n",
" panel_direction panel_tilt \n",
"6 270 15 \n",
"31 270 15 \n",
"47 270 15 \n",
"48 270 15 \n",
"49 270 15 "
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"flat_roofs_W.head()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"flat_roofs.to_csv( os.path.join( OUTPATH, 'flat_roofs.csv' ), index = False )\n",
"flat_roofs_E.to_csv( os.path.join( OUTPATH, 'flat_roofs_E.csv' ), index = False )\n",
"flat_roofs_W.to_csv( os.path.join( OUTPATH, 'flat_roofs_W.csv' ), index = False )"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Load predicted available area"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"PRED_FP='/work/hyenergy/output/solar_potential/geographic_potential/available_area/PRED_available_area_unc_filled.csv'"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"avail_area = pd.read_csv( PRED_FP, usecols = ['DF_UID', 'tilted_area', 'available_area', 'available_area_std'] )"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"avail_area_flat = avail_area[avail_area.DF_UID.isin(flat_roofs.DF_UID)]"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/walch/miniconda3/envs/py3_geo/lib/python3.6/site-packages/pandas/core/indexing.py:966: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
" self.obj[item] = s\n"
]
}
],
"source": [
"zero_tilt = avail_area_flat.DF_UID.isin( flat_roofs[flat_roofs.NEIGUNG == 0].DF_UID )\n",
"avail_area_flat.loc[ zero_tilt, 'available_area' ] *= 2"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>DF_UID</th>\n",
" <th>tilted_area</th>\n",
" <th>available_area</th>\n",
" <th>available_area_std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>7</td>\n",
" <td>16.457870</td>\n",
" <td>2.115733</td>\n",
" <td>2.315795</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>33</td>\n",
" <td>27.568645</td>\n",
" <td>12.098284</td>\n",
" <td>3.899759</td>\n",
" </tr>\n",
" <tr>\n",
" <th>47</th>\n",
" <td>49</td>\n",
" <td>47.891853</td>\n",
" <td>15.384748</td>\n",
" <td>10.230719</td>\n",
" </tr>\n",
" <tr>\n",
" <th>48</th>\n",
" <td>50</td>\n",
" <td>681.609660</td>\n",
" <td>391.328091</td>\n",
" <td>47.003696</td>\n",
" </tr>\n",
" <tr>\n",
" <th>49</th>\n",
" <td>51</td>\n",
" <td>609.169499</td>\n",
" <td>335.269524</td>\n",
" <td>49.648887</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" DF_UID tilted_area available_area available_area_std\n",
"6 7 16.457870 2.115733 2.315795\n",
"31 33 27.568645 12.098284 3.899759\n",
"47 49 47.891853 15.384748 10.230719\n",
"48 50 681.609660 391.328091 47.003696\n",
"49 51 609.169499 335.269524 49.648887"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"avail_area_flat.head()"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
"avail_area_flat.to_csv( os.path.join( OUTPATH, 'PRED_avail_area_flat.csv' ), index = False )"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Get number of batches"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"95.0"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.ceil(len(avail_area_flat) / 20000)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.6.7"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
diff --git a/Potential_hourly/EW_scenarios/5_Postprocess_flat_EW.ipynb b/Potential_hourly/EW_scenarios/5_Postprocess_flat_EW.ipynb
index 6e7367b..56067d0 100644
--- a/Potential_hourly/EW_scenarios/5_Postprocess_flat_EW.ipynb
+++ b/Potential_hourly/EW_scenarios/5_Postprocess_flat_EW.ipynb
@@ -1,1803 +1,1801 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/walch/.local/lib/python3.6/site-packages/dask/config.py:129: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.\n",
" data = yaml.load(f.read()) or {}\n",
"/home/walch/.local/lib/python3.6/site-packages/distributed/config.py:20: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.\n",
" defaults = yaml.load(f)\n"
]
}
],
"source": [
"import pandas as pd\n",
"import xarray as xr\n",
"import numpy as np\n",
"\n",
"import os\n",
"import time\n",
"\n",
"%matplotlib notebook\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"base_fp = '/work/hyenergy/output/solar_potential/hourly_potential'\n",
"EW_path = '/scratch/walch/workdir_solar_EW_scenarios'"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"YEARS = [2010, 2016, 2017, 2018, 2019]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Load annual files and replace with new roofs"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2010\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/walch/miniconda3/envs/py3_geo/lib/python3.6/site-packages/numpy/lib/arraysetops.py:569: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
" mask |= (ar1 == a)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" available_area available_area_std BFS_NUMMER suitable Gt_kWh_m2 \\\n",
"DF_UID \n",
"7 2.115733 2.315795 2823.0 0 944.58685 \n",
"33 6.049142 3.899759 2823.0 0 800.20440 \n",
"49 15.384748 10.230719 2887.0 1 754.59580 \n",
"50 195.664046 47.003696 2886.0 1 1120.63400 \n",
"51 167.634762 49.648887 2886.0 1 1067.45590 \n",
"\n",
" EPV_kWh \n",
"DF_UID \n",
"7 276.8191 \n",
"33 767.1790 \n",
"49 1610.2352 \n",
"50 34726.9570 \n",
"51 28411.6210 \n",
" available_area available_area_std BFS_NUMMER suitable Gt_kWh_m2 \\\n",
"DF_UID \n",
"7 2.115733 2.315795 2823.0 0 887.81995 \n",
"33 12.098284 3.899759 2823.0 1 706.86730 \n",
"49 15.384748 10.230719 2887.0 1 781.15173 \n",
"50 391.328091 47.003696 2886.0 1 993.85693 \n",
"51 335.269524 49.648887 2886.0 1 944.52985 \n",
"\n",
" EPV_kWh \n",
"DF_UID \n",
"7 261.4829 \n",
"33 1211.3549 \n",
"49 1676.6752 \n",
"50 55026.7340 \n",
"51 44906.9180 \n",
"2016\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/walch/miniconda3/envs/py3_geo/lib/python3.6/site-packages/numpy/lib/arraysetops.py:569: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
" mask |= (ar1 == a)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" available_area available_area_std BFS_NUMMER suitable Gt_kWh_m2 \\\n",
"DF_UID \n",
"7 2.115733 2.315795 2823.0 0 985.44860 \n",
"33 6.049142 3.899759 2823.0 0 836.74700 \n",
"49 15.384748 10.230719 2887.0 1 785.88293 \n",
"50 195.664046 47.003696 2886.0 1 1176.95850 \n",
"51 167.634762 49.648887 2886.0 1 1124.14040 \n",
"\n",
" EPV_kWh \n",
"DF_UID \n",
"7 288.77975 \n",
"33 800.54520 \n",
"49 1675.26530 \n",
"50 36465.40200 \n",
"51 29911.24600 \n",
" available_area available_area_std BFS_NUMMER suitable Gt_kWh_m2 \\\n",
"DF_UID \n",
"7 2.115733 2.315795 2823.0 0 923.69904 \n",
"33 12.098284 3.899759 2823.0 1 729.88403 \n",
"49 15.384748 10.230719 2887.0 1 818.13610 \n",
"50 391.328091 47.003696 2886.0 1 1029.24120 \n",
"51 335.269524 49.648887 2886.0 1 980.34010 \n",
"\n",
" EPV_kWh \n",
"DF_UID \n",
"7 271.95822 \n",
"33 1248.42140 \n",
"49 1754.37020 \n",
"50 56921.95300 \n",
"51 46553.40000 \n",
"2017\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/walch/miniconda3/envs/py3_geo/lib/python3.6/site-packages/numpy/lib/arraysetops.py:569: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
" mask |= (ar1 == a)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" available_area available_area_std BFS_NUMMER suitable Gt_kWh_m2 \\\n",
"DF_UID \n",
"7 2.115733 2.315795 2823.0 0 1079.43020 \n",
"33 6.049142 3.899759 2823.0 0 933.16480 \n",
"49 15.384748 10.230719 2887.0 1 875.59485 \n",
"50 195.664046 47.003696 2886.0 1 1305.60620 \n",
"51 167.634762 49.648887 2886.0 1 1245.85000 \n",
"\n",
" EPV_kWh \n",
"DF_UID \n",
"7 316.49277 \n",
"33 895.35767 \n",
"49 1869.34220 \n",
"50 40500.17000 \n",
"51 33193.24600 \n",
" available_area available_area_std BFS_NUMMER suitable Gt_kWh_m2 \\\n",
"DF_UID \n",
"7 2.115733 2.315795 2823.0 0 1017.09106 \n",
"33 12.098284 3.899759 2823.0 1 809.57960 \n",
"49 15.384748 10.230719 2887.0 1 906.91780 \n",
"50 391.328091 47.003696 2886.0 1 1140.05380 \n",
"51 335.269524 49.648887 2886.0 1 1085.52760 \n",
"\n",
" EPV_kWh \n",
"DF_UID \n",
"7 299.73087 \n",
"33 1387.79970 \n",
"49 1948.08460 \n",
"50 63150.01000 \n",
"51 51633.41400 \n",
"2018\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/walch/miniconda3/envs/py3_geo/lib/python3.6/site-packages/numpy/lib/arraysetops.py:569: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
" mask |= (ar1 == a)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" available_area available_area_std BFS_NUMMER suitable Gt_kWh_m2 \\\n",
"DF_UID \n",
"7 2.115733 2.315795 2823.0 0 1085.63640 \n",
"33 6.049142 3.899759 2823.0 0 948.50530 \n",
"49 15.384748 10.230719 2887.0 1 879.61035 \n",
"50 195.664046 47.003696 2886.0 1 1290.83310 \n",
"51 167.634762 49.648887 2886.0 1 1234.20980 \n",
"\n",
" EPV_kWh \n",
"DF_UID \n",
"7 317.01834 \n",
"33 905.82196 \n",
"49 1872.68040 \n",
"50 39828.54300 \n",
"51 32708.28100 \n",
" available_area available_area_std BFS_NUMMER suitable Gt_kWh_m2 \\\n",
"DF_UID \n",
"7 2.115733 2.315795 2823.0 0 1017.01700 \n",
"33 12.098284 3.899759 2823.0 1 825.83640 \n",
"49 15.384748 10.230719 2887.0 1 917.98114 \n",
"50 391.328091 47.003696 2886.0 1 1131.97620 \n",
"51 335.269524 49.648887 2886.0 1 1079.52930 \n",
"\n",
" EPV_kWh \n",
"DF_UID \n",
"7 298.49252 \n",
"33 1410.21630 \n",
"49 1965.71500 \n",
"50 62415.26000 \n",
"51 51111.50400 \n",
"2019\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/walch/miniconda3/envs/py3_geo/lib/python3.6/site-packages/numpy/lib/arraysetops.py:569: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
" mask |= (ar1 == a)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" available_area available_area_std BFS_NUMMER suitable Gt_kWh_m2 \\\n",
"DF_UID \n",
"7 2.115733 2.315795 2823.0 0 984.10126 \n",
"33 6.049142 3.899759 2823.0 0 857.30120 \n",
"49 15.384748 10.230719 2887.0 1 797.19464 \n",
"50 195.664046 47.003696 2886.0 1 1149.61470 \n",
"51 167.634762 49.648887 2886.0 1 1099.78990 \n",
"\n",
" EPV_kWh \n",
"DF_UID \n",
"7 286.90997 \n",
"33 817.59810 \n",
"49 1695.97950 \n",
"50 35389.49600 \n",
"51 29077.71300 \n",
" available_area available_area_std BFS_NUMMER suitable Gt_kWh_m2 \\\n",
"DF_UID \n",
"7 2.115733 2.315795 2823.0 0 922.95325 \n",
"33 12.098284 3.899759 2823.0 1 752.17400 \n",
"49 15.384748 10.230719 2887.0 1 828.66260 \n",
"50 391.328091 47.003696 2886.0 1 1022.75260 \n",
"51 335.269524 49.648887 2886.0 1 975.65230 \n",
"\n",
" EPV_kWh \n",
"DF_UID \n",
"7 270.41623 \n",
"33 1282.14470 \n",
"49 1773.46510 \n",
"50 56248.28500 \n",
"51 46073.54300 \n"
]
}
],
"source": [
"for YEAR in YEARS:\n",
" print(YEAR)\n",
" \n",
" annual_roofs = pd.read_csv( os.path.join(base_fp, '%d_annual_roofs.csv' %YEAR ), index_col = 0 )\n",
" flat_roofs = pd.read_csv( os.path.join(EW_path, 'files_%d' %YEAR, '%d_annual_roofs_flat.csv' %YEAR ), \n",
" index_col = 0 )\n",
" \n",
" print(annual_roofs.loc[flat_roofs.index].head())\n",
" print(flat_roofs.head())\n",
" \n",
" annual_roofs.loc[flat_roofs.index] = flat_roofs\n",
" break\n",
" annual_roofs.to_csv( os.path.join(EW_path, 'files_%d' %YEAR, '%d_annual_roofs_EW.csv' %YEAR ) )"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"28.377769633213262"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"(annual_roofs.EPV_kWh * annual_roofs.suitable).sum() / 1e9"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Double-check roof info"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"ROOF_FP = '/work/hyenergy/output/solar_potential/geographic_potential/CH_ROOFS_all_replaced.csv'\n",
"roofs = pd.read_csv( ROOF_FP, usecols = ['DF_UID', 'NEIGUNG', 'AUSRICHTUNG'] )"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"roofs_compare = annual_roofs.merge(roofs, on = 'DF_UID')"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"roofs_w_comm = roofs_compare.dropna(subset = ['BFS_NUMMER'])"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"POT_COMM_MWh = pd.concat([( roofs_w_comm.EPV_kWh * roofs_w_comm.suitable).rename('EPV'), \n",
" roofs_w_comm.BFS_NUMMER], axis = 1).groupby('BFS_NUMMER').sum() / 1e3"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
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" <th></th>\n",
" <th>EPV</th>\n",
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" <tr>\n",
" <th>BFS_NUMMER</th>\n",
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" <tr>\n",
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" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>2308 rows × 1 columns</p>\n",
"</div>"
],
"text/plain": [
" EPV\n",
"BFS_NUMMER \n",
"1.0 7732.559334\n",
"2.0 35168.135953\n",
"3.0 11032.065060\n",
"4.0 14149.872336\n",
"5.0 11133.627332\n",
"... ...\n",
"9155.0 60.449023\n",
"9328.0 70.002225\n",
"9329.0 13.289902\n",
"9751.0 3.934386\n",
"9758.0 55.566963\n",
"\n",
"[2308 rows x 1 columns]"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"POT_COMM_MWh"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Load commune data and replace by subtracting and adding old/new data"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"def prepare_data(name, frame = None, fillval = 0):\n",
" data = pd.read_csv( name, index_col = 0 )\n",
" data.columns = data.columns.astype(int)\n",
" \n",
" if frame is not None:\n",
" missing_frame = frame.drop(data.columns, axis = 1)\n",
" missing_data = pd.DataFrame(index = data.index, columns = missing_frame.columns).fillna(0)\n",
" return pd.concat([data, missing_data], axis = 1).sort_index(axis = 1)\n",
" \n",
" return data"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "2010\n",
- "2016\n",
- "2017\n"
+ "2019\n"
]
}
],
"source": [
"for YEAR in [2019]:\n",
" print(YEAR)\n",
" \n",
" comm_Gt = prepare_data( os.path.join(base_fp, '%d_commune_hourly_gt.csv' %YEAR ) )\n",
" comm_PV = prepare_data( os.path.join(base_fp, '%d_commune_hourly_pv.csv' %YEAR ) )\n",
" \n",
" comm_Gt_base = prepare_data( os.path.join(EW_path, 'files_%d' %YEAR, '%d_commune_hourly_flat_base_gt.csv' %YEAR ),\n",
" comm_Gt )\n",
" comm_PV_base = prepare_data( os.path.join(EW_path, 'files_%d' %YEAR, '%d_commune_hourly_flat_base_pv.csv' %YEAR ),\n",
" comm_PV )\n",
"\n",
" comm_Gt_ew = prepare_data( os.path.join(EW_path, 'files_%d' %YEAR, '%d_commune_hourly_flat_gt.csv' %YEAR ), \n",
" comm_Gt )\n",
" comm_PV_ew = prepare_data( os.path.join(EW_path, 'files_%d' %YEAR, '%d_commune_hourly_flat_pv.csv' %YEAR ), \n",
" comm_PV )\n",
" \n",
" comm_Gt_ew_combined = comm_Gt - comm_Gt_base + comm_Gt_ew\n",
" comm_PV_ew_combined = comm_PV - comm_PV_base + comm_PV_ew\n",
" \n",
" comm_Gt_ew_combined.to_csv( os.path.join(EW_path, 'files_%d' %YEAR, '%d_commune_hourly_gt_EW.csv' %YEAR ) )\n",
" comm_PV_ew_combined.to_csv( os.path.join(EW_path, 'files_%d' %YEAR, '%d_commune_hourly_pv_EW.csv' %YEAR ) )"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Compare only flat roofs"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"flat_roofs['EPV_kWh_suitable'] = flat_roofs.suitable * flat_roofs.EPV_kWh"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
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" vertical-align: top;\n",
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"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>available_area</th>\n",
" <th>available_area_std</th>\n",
" <th>BFS_NUMMER</th>\n",
" <th>suitable</th>\n",
" <th>Gt_kWh_m2</th>\n",
" <th>EPV_kWh</th>\n",
" <th>EPV_kWh_suitable</th>\n",
" </tr>\n",
" <tr>\n",
" <th>DF_UID</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>2.115733</td>\n",
" <td>2.315795</td>\n",
" <td>2823.0</td>\n",
" <td>0</td>\n",
" <td>1017.01700</td>\n",
" <td>298.49252</td>\n",
" <td>0.0000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>33</th>\n",
" <td>12.098284</td>\n",
" <td>3.899759</td>\n",
" <td>2823.0</td>\n",
" <td>1</td>\n",
" <td>825.83640</td>\n",
" <td>1410.21630</td>\n",
" <td>1410.2163</td>\n",
" </tr>\n",
" <tr>\n",
" <th>49</th>\n",
" <td>15.384748</td>\n",
" <td>10.230719</td>\n",
" <td>2887.0</td>\n",
" <td>1</td>\n",
" <td>917.98114</td>\n",
" <td>1965.71500</td>\n",
" <td>1965.7150</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50</th>\n",
" <td>391.328091</td>\n",
" <td>47.003696</td>\n",
" <td>2886.0</td>\n",
" <td>1</td>\n",
" <td>1131.97620</td>\n",
" <td>62415.26000</td>\n",
" <td>62415.2600</td>\n",
" </tr>\n",
" <tr>\n",
" <th>51</th>\n",
" <td>335.269524</td>\n",
" <td>49.648887</td>\n",
" <td>2886.0</td>\n",
" <td>1</td>\n",
" <td>1079.52930</td>\n",
" <td>51111.50400</td>\n",
" <td>51111.5040</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" available_area available_area_std BFS_NUMMER suitable Gt_kWh_m2 \\\n",
"DF_UID \n",
"7 2.115733 2.315795 2823.0 0 1017.01700 \n",
"33 12.098284 3.899759 2823.0 1 825.83640 \n",
"49 15.384748 10.230719 2887.0 1 917.98114 \n",
"50 391.328091 47.003696 2886.0 1 1131.97620 \n",
"51 335.269524 49.648887 2886.0 1 1079.52930 \n",
"\n",
" EPV_kWh EPV_kWh_suitable \n",
"DF_UID \n",
"7 298.49252 0.0000 \n",
"33 1410.21630 1410.2163 \n",
"49 1965.71500 1965.7150 \n",
"50 62415.26000 62415.2600 \n",
"51 51111.50400 51111.5040 "
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"flat_roofs.head()"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"BFS_NUMMER\n",
"1.0 1.462375e+06\n",
"2.0 2.103494e+07\n",
"3.0 3.630855e+06\n",
"4.0 3.697583e+06\n",
"5.0 3.509322e+06\n",
" ... \n",
"9149.0 1.488207e+05\n",
"9155.0 5.594275e+04\n",
"9328.0 4.358429e+04\n",
"9329.0 1.908513e+03\n",
"9758.0 2.342877e+04\n",
"Name: EPV_kWh_suitable, Length: 2304, dtype: float64"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"EPV_flat_comm = flat_roofs.groupby('BFS_NUMMER').EPV_kWh_suitable.sum()\n",
"EPV_flat_comm"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"4.022690038274502e-08"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"abs((comm_PV_ew.sum() - EPV_flat_comm) / EPV_flat_comm).max()"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"5391 0.0\n",
"6391 0.0\n",
"9089 0.0\n",
"9150 0.0\n",
"9751 0.0\n",
"dtype: float64"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"comm_PV_ew.sum().loc[ ((comm_PV_ew.sum() - EPV_flat_comm) / EPV_flat_comm).isna() ]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Compare all roofs"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"4.345088487674362e-08"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"abs((POT_COMM_MWh.EPV - comm_PV_ew_combined.sum() / 1e3) / POT_COMM_MWh.EPV).max()"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"6391 0.0\n",
"9089 0.0\n",
"9150 0.0\n",
"dtype: float64"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"comm_PV_ew_combined.sum().loc[ ((comm_PV_ew_combined.sum() - POT_COMM_MWh.EPV) / POT_COMM_MWh.EPV).isna() ]"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>EPV</th>\n",
" </tr>\n",
" <tr>\n",
" <th>BFS_NUMMER</th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>6391.0</th>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9089.0</th>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9150.0</th>\n",
" <td>0.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" EPV\n",
"BFS_NUMMER \n",
"6391.0 0.0\n",
"9089.0 0.0\n",
"9150.0 0.0"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"POT_COMM_MWh[POT_COMM_MWh.EPV == 0]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Compare totals"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"27.990661956390973"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"comm_PV.sum().sum() / 1e9"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"31.7100177098927"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"comm_PV_ew_combined.sum().sum() / 1e9"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"frame = pd.DataFrame(index = pd.date_range(start='2018-01-01 00:00', end='2018-12-31 23:00', freq='1h') )"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [],
"source": [
"comm_PV.index = pd.to_datetime(comm_PV.index)"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [],
"source": [
"comm_PV_ew_combined.index = pd.to_datetime(comm_PV_ew_combined.index)"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [],
"source": [
"hourly_df = pd.concat([frame, (comm_PV.sum(axis = 1)/1e6).rename('base'),\n",
" (comm_PV_ew_combined.sum(axis = 1)/1e6).rename('EW') ], axis = 1).fillna(0)"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [
{
"data": {
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" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option);\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" // select the cell after this one\n",
" var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
" IPython.notebook.select(index + 1);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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rl27JjoevVd/7dq1S44fP27uKV68uO33rgxG25o5c6YsW7bMzOvKlSuSLVs20079+vWlR48eEh4e7kpT1EEAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQsEyCAbhmltQ1pIHnTpk1pNvqnP/3JBKOzZMnisO79+/ele/fuJnjuqGgQffr06ZIhQwa7VSIjI2XDhg12r7kTQN+3b5+8/PLLcuLECYdjCQsLk1GjRknfvn3TnD8VEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAasECKBbJWlxO6VLl5b4+Hiz2/zVV181O82LFSsmd+/elW3btsn48eMlISHB9BodHS3z5s1zOIIhQ4ZIbGysuV6pUiUZMGCAlCpVyrQ/ZswY2bt3r7mm9UaMGGG3nYiICNm4caO59vjjj0vVqlXNOHQ3uasBdN1pXr58eTl79qxpp169ema3ecmSJeXixYuyZs0amTJlity+fdtcX7BggbRp08ZiWZpDAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEE7AsQQPfT74ymTZtKx44dpVWrVpIpU6ZUo9SAc+3ateXw4cPmmu5Wt5fO/ciRIyZofefOHRP01nrZs2e3tXfjxg2TNn337t2iO78PHTpkgusPF929nitXLpPyXYP7Wn7/+9+bneSuBtA16N+vXz9zr74U8NVXX6Xq55tvvpHmzZubr1eoUEF0xzoFAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQ8IUAAXRfKHupj+XLl0uzZs1M62+//bZMnDgxVU89e/aUqVOnmq/rjvGaNWumqrN9+3Z5/vnnzdd79eolkyZNcmnE7gbQW7ZsKUuWLDFta2BcA+T2SuXKlW274pOSkiR37twujYdKCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAQHoECKCnR+8R36vp05ODy02aNBENqKcsevZ50aJFTar3cuXKycGDBx2OWK///PPPUqRIETl58qTDs9BTNuBuAF131X/33XemCR17zpw57Y5Hd6cvXLjQXNOd9nnz5n3E0nSPAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAKhIEAAPYCf8i+//GILLutOdE1/nrIcPXrUlo69W7duMn36dIez1euapl2L3leiRIk0ZdwNoPfp00cmTJhg2nVlB/oTTzwhly5dSnMcVEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQSsECCAboXiI2pD06FrWnQt/fv3lzFjxjwwEt3trbu+tWjgOiYmxuFI9boGuLXofS+99FKas3I3gB4XFycVK1aUu3fvStu2bWX+/Pmp+kg55sGDB0tsbGya46ACAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggYIUAAXQrFB9BG/fu3TPnlu/cudP0vmvXLqlateoDI9Ed5z169DBf+/rrr6V169YOR6op0zV1uha9T3ekp1XcDaBre1OmTDHntev4IyMjTT8lS5Y0qdrXrl0rkydPllu3bknDhg3Neem5cuVKaxhcRwABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBCwRIIBuCaPvGxk/frz069fPdPzKK6/I4sWLUw1i7NixMmDAAPP1lStXSlRUlMOB6vXkXefjxo2Tvn37pjkpTwLo2uiOHTvMbnl7Yy5VqpQMGjRIOnfuLGFhYWmOgQoIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIICAVQIE0K2S9GE7GzduNDu079y5I08++aQ5T7xAgQKpRvDBBx/I8OHDzdfXrVsnDRo0cDjK9evXywsvvGCu631Dhw5Nc0aeBNCvXr1qAuRz5syRpKSkVH1kyJDB7EwfMWKE2WFPQQABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBHwlQADdV9IW9XPgwAGpW7euXL58WbJmzSqrVq2S+vXr223d33agJyYmmsC/ziFHjhwybNgwadOmjRQtWlQ0sL5p0ybztf3795u5aZDdWdp5i0hpBgEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEDACBNAD6Bvh2LFjUqdOHTlz5oxkypTJnGuu6dsdFX87A12D4YsWLRLdZa474nWn+cPl2rVrUr16dTl48KDkzJlT4uPj7e6uD6DHxlARQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQCBABAigB8iD0qC57jw/evSoCUB//vnn0rFjR6ejX758uTRr1szUmTBhgsTExDisr9f79Oljrn/33Xe289CddeBOCnfdMZ8vXz65d++eNGrUSFavXu2w6blz50qHDh3M9Y8++kjeeeedAHlKDBMBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBAJZgAB6ADy9ixcvmjTtcXFxZrSTJ0+Wnj17pjlyDbaXKlXK1OvWrZvojnRHRa/PmDHDXNb7SpQokWb77gTQt2/fbjvTfODAgTJq1CiH7R86dEjKly9vrnfv3l2mTZuW5liogAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCKRXgAB6egW9fP+VK1ekQYMGsmfPHtOTBp41AO1KuX//vhQpUsSkfC9XrpxJi+6oaMBaA9eFCxeWU6dOmV3uaRV3Aui7d++WatWqmSb79u0r48aNc9j8v//9b6lYsaK53qtXL5k0aVJaQ+E6AggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggkG4BAujpJvReAzdu3JA//vGPsnXrVtPJkCFDZMSIEW51+NZbb9l2cG/btk1q1qyZ6v6Uu8O1/pQpU1zqw50Auu6if/LJJ0WD+nrG+Y4dOxz2oTvse/fuba6PHz/ellrepUFRCQEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEPBQgAC6h3Devu3WrVvm/PLks8L1HHA9D9zdcvjwYQkPD5c7d+5I1apVZdOmTZI9e3ZbMzdv3pR69eqJ7hAPCwszaeKffvppl7pxJ4CuDdaqVUs0iK9Fz3Dv1KlTqn5OnDhhgvyJiYlmF7zumi9btqxL46ESAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggkB4BAujp0fPiva1atZLFixebHjSFuwbPnaVVz5Ili5QpU8buiAYPHmw7c7xSpUomBbyejR4fHy+jR4+WvXv3mvu0XmxsrN02jhw5Ilu2bHngWr9+/eTSpUuSN2/eVCnZo6KipGDBgg/U37BhgzRs2FDu3r1r5tKhQwdp06aNSTN/9epV2bhxo5mntqmla9euMnPmTC8q0zQCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCDw/wIE0P30u8GVM8hTDr148eJy/Phxu7O5d++evPHGG/LZZ585nK0Gq2fMmCEZM2a0W0d3jHfp0sVlrR9++EEiIiJS1Z87d65069ZNrl+/7rSt1157TWbPni36YgAFAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQ8IUAAXRfKHvQh5UB9OTuV6xYYYLku3btEj2TPF++fFKtWjUT0G7cuLHTUVoVQNdOTp8+bcaxdu1a+fnnnyUpKUmyZs1qdqJr+nZN7R4ZGemBGrcggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACngsQQPfcjjsRQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBIJIgAB6ED1MpoIAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggg4LkAAXTP7bgTAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQCCIBAigB9HDZCoIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAp4LEED33I47EUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQSCSIAAehA9TKaCAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIOC5AAF0z+24EwEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAgiAQIoAfRw2QqCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAKeC/wfOZwhnonlZ1cAAAAASUVORK5CYII=\" width=\"1000\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"hourly_df.plot(figsize = (10, 3))\n",
"plt.ylabel('Power (GW)')\n",
"plt.tight_layout()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.6.7"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
diff --git a/Potential_hourly/Extract_specific_roofs.ipynb b/Potential_hourly/Extract_specific_roofs.ipynb
index ce907e3..5d05dd9 100644
--- a/Potential_hourly/Extract_specific_roofs.ipynb
+++ b/Potential_hourly/Extract_specific_roofs.ipynb
@@ -1,5480 +1,5480 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/walch/.local/lib/python3.6/site-packages/dask/config.py:129: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.\n",
" data = yaml.load(f.read()) or {}\n",
"/home/walch/.local/lib/python3.6/site-packages/distributed/config.py:20: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.\n",
" defaults = yaml.load(f)\n"
]
}
],
"source": [
"import pandas as pd\n",
"import xarray as xr\n",
"import numpy as np\n",
"\n",
"import os\n",
"import time\n",
"\n",
"%matplotlib notebook\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"base_fp = '/work/hyenergy/output/solar_potential/hourly_potential'\n",
"EW_path = '/scratch/walch/workdir_solar_EW_scenarios'"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"YEARS = [2010, 2016, 2017, 2018, 2019]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Extract timeline for example roofs (old scenario)"
]
},
{
"cell_type": "code",
"execution_count": 77,
"metadata": {},
"outputs": [],
"source": [
"PV = xr.open_mfdataset('/scratch/walch/workdir_solar_hourly/tmp_2016/pv_potential_*', combine = 'by_coords')"
]
},
{
"cell_type": "code",
"execution_count": 81,
"metadata": {},
"outputs": [],
"source": [
"PV_sel = PV.sel(DF_UID = [41697, 41690]).drop('yearly_PV_kWh').to_dataframe()"
]
},
{
"cell_type": "code",
"execution_count": 85,
"metadata": {},
"outputs": [],
"source": [
"PV_out = PV_sel.reset_index().dropna()"
]
},
{
"cell_type": "code",
"execution_count": 88,
"metadata": {},
"outputs": [],
"source": [
"PV_pot = PV_out.pivot(index = 'time', columns = 'DF_UID', values = 'pv_potential')"
]
},
{
"cell_type": "code",
"execution_count": 93,
"metadata": {},
"outputs": [],
"source": [
"plot_df = pd.DataFrame(index = pd.date_range(start='2016-01-01 00:00', end='2016-12-31 23:00', freq='1h') )"
]
},
{
"cell_type": "code",
"execution_count": 98,
"metadata": {},
"outputs": [],
"source": [
"PV_hourly = pd.concat([plot_df, PV_pot], axis = 1).fillna(0)"
]
},
{
"cell_type": "code",
"execution_count": 100,
"metadata": {},
"outputs": [],
"source": [
"PV_hourly.to_csv('pv_W_41697_41690.csv')"
]
},
{
"cell_type": "code",
"execution_count": 99,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support. ' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option);\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" // select the cell after this one\n",
" var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
" IPython.notebook.select(index + 1);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x2b7717294cf8>"
]
},
"execution_count": 99,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"PV_hourly.plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Extract timeline (both scenarios) for specific roofs"
]
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 4,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Flaeche</th>\n",
" <th>Ausrichtung</th>\n",
" <th>Neigung</th>\n",
" <th>DF_UID</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>386</td>\n",
" <td>220</td>\n",
" <td>36</td>\n",
" <td>516828</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>310</td>\n",
" <td>40</td>\n",
" <td>35</td>\n",
" <td>516827</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>310</td>\n",
" <td>220</td>\n",
" <td>35</td>\n",
" <td>516829</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>383</td>\n",
" <td>40</td>\n",
" <td>35</td>\n",
" <td>516830</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>314</td>\n",
" <td>225</td>\n",
" <td>8</td>\n",
" <td>527252</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>82</td>\n",
" <td>225</td>\n",
" <td>34</td>\n",
" <td>527255</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>290</td>\n",
" <td>160</td>\n",
" <td>12</td>\n",
" <td>506519</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>286</td>\n",
" <td>340</td>\n",
" <td>13</td>\n",
" <td>506520</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>56</td>\n",
" <td>160</td>\n",
" <td>11</td>\n",
" <td>506515</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>351</td>\n",
" <td>340</td>\n",
" <td>4</td>\n",
" <td>506526</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>117</td>\n",
" <td>340</td>\n",
" <td>6</td>\n",
" <td>506527</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>277</td>\n",
" <td>140</td>\n",
" <td>32</td>\n",
" <td>496929</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>186</td>\n",
" <td>320</td>\n",
" <td>29</td>\n",
" <td>496928</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>228</td>\n",
" <td>320</td>\n",
" <td>9</td>\n",
" <td>496930</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>171</td>\n",
" <td>230</td>\n",
" <td>19</td>\n",
" <td>496868</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>191</td>\n",
" <td>50</td>\n",
" <td>18</td>\n",
" <td>496867</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>619</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>516307</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>326</td>\n",
" <td>177</td>\n",
" <td>34</td>\n",
" <td>511102</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>120</td>\n",
" <td>177</td>\n",
" <td>18</td>\n",
" <td>511103</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>576</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>524274</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>70</td>\n",
" <td>172</td>\n",
" <td>39</td>\n",
" <td>516807</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>1287</td>\n",
" <td>315</td>\n",
" <td>7</td>\n",
" <td>524319</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>627</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>516247</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>374</td>\n",
" <td>309</td>\n",
" <td>20</td>\n",
" <td>516546</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>375</td>\n",
" <td>129</td>\n",
" <td>20</td>\n",
" <td>516547</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>338</td>\n",
" <td>192</td>\n",
" <td>20</td>\n",
- " <td>516500</td>\n",
+ " <td>516793</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>411</td>\n",
" <td>10</td>\n",
" <td>24</td>\n",
" <td>516794</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>1883</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>531828</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Flaeche Ausrichtung Neigung DF_UID\n",
"0 386 220 36 516828\n",
"1 310 40 35 516827\n",
"2 310 220 35 516829\n",
"3 383 40 35 516830\n",
"4 314 225 8 527252\n",
"5 82 225 34 527255\n",
"6 290 160 12 506519\n",
"7 286 340 13 506520\n",
"8 56 160 11 506515\n",
"9 351 340 4 506526\n",
"10 117 340 6 506527\n",
"11 277 140 32 496929\n",
"12 186 320 29 496928\n",
"13 228 320 9 496930\n",
"14 171 230 19 496868\n",
"15 191 50 18 496867\n",
"16 619 0 0 516307\n",
"17 326 177 34 511102\n",
"18 120 177 18 511103\n",
"19 576 0 0 524274\n",
"20 70 172 39 516807\n",
"21 1287 315 7 524319\n",
"22 627 0 0 516247\n",
"23 374 309 20 516546\n",
"24 375 129 20 516547\n",
- "25 338 192 20 516500\n",
+ "25 338 192 20 516793\n",
"26 411 10 24 516794\n",
"27 1883 0 0 531828"
]
},
- "execution_count": 5,
+ "execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sample_roofs = pd.read_csv('sample_roofs.csv', sep = '/')\n",
"sample_roofs.columns = [s.strip() for s in sample_roofs.columns]\n",
"sample_roofs['DF_UID'] = [int(name.split('_')[-1]) for name in sample_roofs['DF_UID']]\n",
"sample_roofs"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Extract data for sample roofs"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### General information"
]
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"ROOF_FP = '/work/hyenergy/output/solar_potential/geographic_potential/CH_ROOFS_all_replaced.csv'\n",
"roofs = pd.read_csv( ROOF_FP, usecols = ['DF_UID', 'NEIGUNG', 'AUSRICHTUNG', 'FLAECHE', 'panel_direction', \n",
" 'XCOORD', 'YCOORD'] )"
]
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Added base for 2018\n",
"Added base for 2019\n",
"Added ew for 2018\n",
"Added ew for 2019\n"
]
}
],
"source": [
"roofs_sample = roofs[roofs.DF_UID.isin(sample_roofs.DF_UID)]\n",
"\n",
"for scenario in ['base', 'ew']: \n",
" for i, year in enumerate([2018, 2019]):\n",
" if scenario == 'base':\n",
" data_annual = pd.read_csv('/scratch/walch/workdir_solar_hourly/files_%d/%d_annual_roofs.csv' \n",
" %(year, year))\n",
" elif scenario == 'ew':\n",
" data_annual = pd.read_csv('/scratch/walch/workdir_solar_EW_scenarios/files_%d/%d_annual_roofs_EW.csv' \n",
" %(year, year)) \n",
" else:\n",
" print('DATA NOT FOUND')\n",
" break\n",
"\n",
" data_annual_sample = data_annual[data_annual.DF_UID.isin(sample_roofs.DF_UID)]\n",
"\n",
" if i == 0:\n",
" roofs_sample = roofs_sample.merge( data_annual_sample[['DF_UID', 'available_area', 'suitable', \n",
" 'Gt_kWh_m2', 'EPV_kWh' ]], on = 'DF_UID' )\n",
" \n",
" roofs_sample = roofs_sample.rename({ 'available_area' : 'available_area_%s' %scenario, \n",
" 'suitable' : 'suitable_%s' %scenario }, axis = 1)\n",
" \n",
" else:\n",
" roofs_sample = roofs_sample.merge( data_annual_sample[['DF_UID', 'Gt_kWh_m2', 'EPV_kWh' ]], on = 'DF_UID')\n",
" \n",
" roofs_sample = roofs_sample.rename({'Gt_kWh_m2' : '%d_Gt_kWh_m2_%s' %(year, scenario), \n",
" 'EPV_kWh' : '%d_EPV_kWh_%s' %(year, scenario) }, axis = 1)\n",
" \n",
" print('Added %s for %d' %(scenario, year))"
]
},
{
"cell_type": "code",
- "execution_count": 16,
+ "execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
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" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>DF_UID</th>\n",
" <th>FLAECHE</th>\n",
" <th>NEIGUNG</th>\n",
" <th>AUSRICHTUNG</th>\n",
" <th>XCOORD</th>\n",
" <th>YCOORD</th>\n",
" <th>panel_direction</th>\n",
" <th>available_area_base</th>\n",
" <th>suitable_base</th>\n",
" <th>2018_Gt_kWh_m2_base</th>\n",
" <th>2018_EPV_kWh_base</th>\n",
" <th>2019_Gt_kWh_m2_base</th>\n",
" <th>2019_EPV_kWh_base</th>\n",
" <th>available_area_ew</th>\n",
" <th>suitable_ew</th>\n",
" <th>2018_Gt_kWh_m2_ew</th>\n",
" <th>2018_EPV_kWh_ew</th>\n",
" <th>2019_Gt_kWh_m2_ew</th>\n",
" <th>2019_EPV_kWh_ew</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>496867</td>\n",
" <td>191.034016</td>\n",
" <td>18</td>\n",
" <td>-130.0</td>\n",
" <td>663448.775159</td>\n",
" <td>243551.629905</td>\n",
" <td>50.0</td>\n",
" <td>129.518123</td>\n",
" <td>0</td>\n",
" <td>913.03766</td>\n",
" <td>16277.7390</td>\n",
" <td>835.67584</td>\n",
" <td>14907.7740</td>\n",
" <td>129.518123</td>\n",
" <td>0</td>\n",
" <td>913.03766</td>\n",
" <td>16277.7390</td>\n",
" <td>835.67584</td>\n",
" <td>14907.7740</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>496868</td>\n",
" <td>171.580982</td>\n",
" <td>19</td>\n",
" <td>50.0</td>\n",
" <td>663443.733721</td>\n",
" <td>243548.696613</td>\n",
" <td>230.0</td>\n",
" <td>114.056531</td>\n",
" <td>1</td>\n",
" <td>1186.54150</td>\n",
" <td>18505.2990</td>\n",
" <td>1070.12610</td>\n",
" <td>16678.8930</td>\n",
" <td>114.056531</td>\n",
" <td>1</td>\n",
" <td>1186.54150</td>\n",
" <td>18505.2990</td>\n",
" <td>1070.12610</td>\n",
" <td>16678.8930</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>496928</td>\n",
" <td>186.248368</td>\n",
" <td>29</td>\n",
" <td>140.0</td>\n",
" <td>663466.797413</td>\n",
" <td>243560.904906</td>\n",
" <td>320.0</td>\n",
" <td>106.223086</td>\n",
" <td>0</td>\n",
" <td>824.43740</td>\n",
" <td>12158.3740</td>\n",
" <td>750.55963</td>\n",
" <td>11065.9700</td>\n",
" <td>106.223086</td>\n",
" <td>0</td>\n",
" <td>824.43740</td>\n",
" <td>12158.3740</td>\n",
" <td>750.55963</td>\n",
" <td>11065.9700</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>496929</td>\n",
" <td>279.796254</td>\n",
" <td>32</td>\n",
" <td>-40.0</td>\n",
" <td>663473.564138</td>\n",
" <td>243553.263365</td>\n",
" <td>140.0</td>\n",
" <td>194.241340</td>\n",
" <td>1</td>\n",
" <td>1230.54570</td>\n",
" <td>32629.5530</td>\n",
" <td>1120.27450</td>\n",
" <td>29717.4820</td>\n",
" <td>194.241340</td>\n",
" <td>1</td>\n",
" <td>1230.54570</td>\n",
" <td>32629.5530</td>\n",
" <td>1120.27450</td>\n",
" <td>29717.4820</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>496930</td>\n",
" <td>232.033657</td>\n",
" <td>9</td>\n",
" <td>140.0</td>\n",
" <td>663460.459822</td>\n",
" <td>243568.632973</td>\n",
" <td>320.0</td>\n",
" <td>178.611786</td>\n",
" <td>1</td>\n",
" <td>1047.56140</td>\n",
" <td>25758.1560</td>\n",
" <td>950.69520</td>\n",
" <td>23360.4410</td>\n",
" <td>178.611786</td>\n",
" <td>1</td>\n",
" <td>1083.23220</td>\n",
" <td>26792.1950</td>\n",
" <td>981.94666</td>\n",
" <td>24277.7340</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>506515</td>\n",
" <td>56.981732</td>\n",
" <td>11</td>\n",
" <td>-20.0</td>\n",
" <td>664790.034283</td>\n",
" <td>244454.199114</td>\n",
" <td>160.0</td>\n",
" <td>26.550829</td>\n",
" <td>1</td>\n",
" <td>1187.32100</td>\n",
" <td>4310.3506</td>\n",
" <td>1069.79900</td>\n",
" <td>3879.1250</td>\n",
" <td>26.550829</td>\n",
" <td>1</td>\n",
" <td>1187.32100</td>\n",
" <td>4310.3506</td>\n",
" <td>1069.79900</td>\n",
" <td>3879.1250</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>506519</td>\n",
" <td>290.685770</td>\n",
" <td>12</td>\n",
" <td>-20.0</td>\n",
" <td>664805.495960</td>\n",
" <td>244442.719157</td>\n",
" <td>160.0</td>\n",
" <td>195.868567</td>\n",
" <td>1</td>\n",
" <td>1269.84850</td>\n",
" <td>33978.0500</td>\n",
" <td>1148.68860</td>\n",
" <td>30697.5760</td>\n",
" <td>195.868567</td>\n",
" <td>1</td>\n",
" <td>1269.84850</td>\n",
" <td>33978.0500</td>\n",
" <td>1148.68860</td>\n",
" <td>30697.5760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>506520</td>\n",
" <td>286.109724</td>\n",
" <td>13</td>\n",
" <td>160.0</td>\n",
" <td>664802.448615</td>\n",
" <td>244451.307892</td>\n",
" <td>340.0</td>\n",
" <td>191.791998</td>\n",
" <td>0</td>\n",
" <td>1019.15220</td>\n",
" <td>26977.5180</td>\n",
" <td>927.15080</td>\n",
" <td>24521.6820</td>\n",
" <td>191.791998</td>\n",
" <td>0</td>\n",
" <td>1019.15220</td>\n",
" <td>26977.5180</td>\n",
" <td>927.15080</td>\n",
" <td>24521.6820</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>506526</td>\n",
" <td>351.877356</td>\n",
" <td>4</td>\n",
" <td>160.0</td>\n",
" <td>664797.099785</td>\n",
" <td>244466.373209</td>\n",
" <td>340.0</td>\n",
" <td>223.620657</td>\n",
" <td>1</td>\n",
" <td>916.69260</td>\n",
" <td>28215.6660</td>\n",
" <td>825.62520</td>\n",
" <td>25409.6430</td>\n",
" <td>223.620657</td>\n",
" <td>1</td>\n",
" <td>921.06570</td>\n",
" <td>28878.7640</td>\n",
" <td>828.43540</td>\n",
" <td>25974.7400</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>506527</td>\n",
" <td>117.868736</td>\n",
" <td>6</td>\n",
" <td>160.0</td>\n",
" <td>664798.903452</td>\n",
" <td>244475.987975</td>\n",
" <td>340.0</td>\n",
" <td>64.277066</td>\n",
" <td>1</td>\n",
" <td>938.67370</td>\n",
" <td>8333.1560</td>\n",
" <td>849.34030</td>\n",
" <td>7541.9880</td>\n",
" <td>64.277066</td>\n",
" <td>1</td>\n",
" <td>969.85000</td>\n",
" <td>8720.9370</td>\n",
" <td>876.52210</td>\n",
" <td>7886.1410</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>511102</td>\n",
" <td>326.101715</td>\n",
" <td>34</td>\n",
" <td>-3.0</td>\n",
" <td>663284.858225</td>\n",
" <td>244641.693543</td>\n",
" <td>177.0</td>\n",
" <td>207.483166</td>\n",
" <td>1</td>\n",
" <td>1252.19970</td>\n",
" <td>35530.7300</td>\n",
" <td>1124.61790</td>\n",
" <td>31894.2270</td>\n",
" <td>207.483166</td>\n",
" <td>1</td>\n",
" <td>1252.19970</td>\n",
" <td>35530.7300</td>\n",
" <td>1124.61790</td>\n",
" <td>31894.2270</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>511103</td>\n",
" <td>120.003733</td>\n",
" <td>18</td>\n",
" <td>-3.0</td>\n",
" <td>663294.208786</td>\n",
" <td>244634.790313</td>\n",
" <td>177.0</td>\n",
" <td>65.254270</td>\n",
" <td>1</td>\n",
" <td>1101.68270</td>\n",
" <td>9858.4750</td>\n",
" <td>994.68274</td>\n",
" <td>8903.1180</td>\n",
" <td>65.254270</td>\n",
" <td>1</td>\n",
" <td>1101.68270</td>\n",
" <td>9858.4750</td>\n",
" <td>994.68274</td>\n",
" <td>8903.1180</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>516247</td>\n",
" <td>627.693369</td>\n",
" <td>0</td>\n",
" <td>0.0</td>\n",
" <td>663353.239398</td>\n",
" <td>245003.852686</td>\n",
" <td>180.0</td>\n",
" <td>196.476199</td>\n",
" <td>1</td>\n",
" <td>1248.85250</td>\n",
" <td>38584.9140</td>\n",
" <td>1125.10850</td>\n",
" <td>34734.8900</td>\n",
" <td>392.952398</td>\n",
" <td>1</td>\n",
" <td>1093.42680</td>\n",
" <td>60392.4060</td>\n",
" <td>991.93300</td>\n",
" <td>54704.7730</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>516307</td>\n",
" <td>619.413420</td>\n",
" <td>0</td>\n",
" <td>0.0</td>\n",
" <td>663334.226960</td>\n",
" <td>244956.978949</td>\n",
" <td>180.0</td>\n",
" <td>216.492056</td>\n",
" <td>1</td>\n",
" <td>1231.17650</td>\n",
" <td>41916.7270</td>\n",
" <td>1109.68300</td>\n",
" <td>37748.0160</td>\n",
" <td>432.984112</td>\n",
" <td>1</td>\n",
" <td>1078.02610</td>\n",
" <td>65603.1640</td>\n",
" <td>978.53796</td>\n",
" <td>59453.1200</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
- " <td>516500</td>\n",
- " <td>174.279890</td>\n",
- " <td>0</td>\n",
- " <td>0.0</td>\n",
- " <td>663693.814381</td>\n",
- " <td>244779.570688</td>\n",
- " <td>180.0</td>\n",
- " <td>31.149384</td>\n",
- " <td>1</td>\n",
- " <td>1120.42650</td>\n",
- " <td>5515.5900</td>\n",
- " <td>1006.66570</td>\n",
- " <td>4957.5444</td>\n",
- " <td>62.298768</td>\n",
- " <td>1</td>\n",
- " <td>961.23950</td>\n",
- " <td>8458.0630</td>\n",
- " <td>868.28150</td>\n",
- " <td>7636.5967</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>15</th>\n",
" <td>516546</td>\n",
" <td>374.111055</td>\n",
" <td>20</td>\n",
" <td>129.0</td>\n",
" <td>663650.364956</td>\n",
" <td>244784.454870</td>\n",
" <td>309.0</td>\n",
" <td>279.853593</td>\n",
" <td>0</td>\n",
" <td>957.80493</td>\n",
" <td>37048.9900</td>\n",
" <td>866.34106</td>\n",
" <td>33477.3440</td>\n",
" <td>279.853593</td>\n",
" <td>0</td>\n",
" <td>957.80493</td>\n",
" <td>37048.9900</td>\n",
" <td>866.34106</td>\n",
" <td>33477.3440</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>16</th>\n",
+ " <th>15</th>\n",
" <td>516547</td>\n",
" <td>375.279997</td>\n",
" <td>20</td>\n",
" <td>-51.0</td>\n",
" <td>663659.229615</td>\n",
" <td>244777.179853</td>\n",
" <td>129.0</td>\n",
" <td>278.203144</td>\n",
" <td>1</td>\n",
" <td>1188.31710</td>\n",
" <td>45191.9200</td>\n",
" <td>1080.27760</td>\n",
" <td>41082.3800</td>\n",
" <td>278.203144</td>\n",
" <td>1</td>\n",
" <td>1188.31710</td>\n",
" <td>45191.9200</td>\n",
" <td>1080.27760</td>\n",
" <td>41082.3800</td>\n",
" </tr>\n",
" <tr>\n",
+ " <th>16</th>\n",
+ " <td>516793</td>\n",
+ " <td>320.595936</td>\n",
+ " <td>30</td>\n",
+ " <td>10.0</td>\n",
+ " <td>663692.393709</td>\n",
+ " <td>244785.185141</td>\n",
+ " <td>190.0</td>\n",
+ " <td>176.263558</td>\n",
+ " <td>1</td>\n",
+ " <td>1327.58150</td>\n",
+ " <td>31896.7270</td>\n",
+ " <td>1189.03150</td>\n",
+ " <td>28529.2660</td>\n",
+ " <td>176.263558</td>\n",
+ " <td>1</td>\n",
+ " <td>1327.58150</td>\n",
+ " <td>31896.7270</td>\n",
+ " <td>1189.03150</td>\n",
+ " <td>28529.2660</td>\n",
+ " </tr>\n",
+ " <tr>\n",
" <th>17</th>\n",
" <td>516794</td>\n",
" <td>410.999852</td>\n",
" <td>24</td>\n",
" <td>-170.0</td>\n",
" <td>663692.302467</td>\n",
" <td>244792.219806</td>\n",
" <td>10.0</td>\n",
" <td>232.995814</td>\n",
" <td>0</td>\n",
" <td>816.89844</td>\n",
" <td>26366.9410</td>\n",
" <td>746.26180</td>\n",
" <td>24085.7200</td>\n",
" <td>232.995814</td>\n",
" <td>0</td>\n",
" <td>816.89844</td>\n",
" <td>26366.9410</td>\n",
" <td>746.26180</td>\n",
" <td>24085.7200</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>516807</td>\n",
" <td>102.496594</td>\n",
" <td>43</td>\n",
" <td>-9.0</td>\n",
" <td>663503.351092</td>\n",
" <td>244888.187935</td>\n",
" <td>171.0</td>\n",
" <td>34.052689</td>\n",
" <td>1</td>\n",
" <td>1135.56600</td>\n",
" <td>5302.0010</td>\n",
" <td>1025.78660</td>\n",
" <td>4789.6675</td>\n",
" <td>34.052689</td>\n",
" <td>1</td>\n",
" <td>1135.56600</td>\n",
" <td>5302.0010</td>\n",
" <td>1025.78660</td>\n",
" <td>4789.6675</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>516827</td>\n",
" <td>310.651093</td>\n",
" <td>35</td>\n",
" <td>-140.0</td>\n",
" <td>663622.586483</td>\n",
" <td>244917.727724</td>\n",
" <td>40.0</td>\n",
" <td>173.695544</td>\n",
" <td>0</td>\n",
" <td>750.88806</td>\n",
" <td>18044.6330</td>\n",
" <td>689.16970</td>\n",
" <td>16572.2000</td>\n",
" <td>173.695544</td>\n",
" <td>0</td>\n",
" <td>750.88806</td>\n",
" <td>18044.6330</td>\n",
" <td>689.16970</td>\n",
" <td>16572.2000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>516828</td>\n",
" <td>386.205375</td>\n",
" <td>36</td>\n",
" <td>40.0</td>\n",
" <td>663617.689604</td>\n",
" <td>244911.828416</td>\n",
" <td>220.0</td>\n",
" <td>240.370760</td>\n",
" <td>1</td>\n",
" <td>1214.01230</td>\n",
" <td>39991.3480</td>\n",
" <td>1077.71400</td>\n",
" <td>35448.3160</td>\n",
" <td>240.370760</td>\n",
" <td>1</td>\n",
" <td>1214.01230</td>\n",
" <td>39991.3480</td>\n",
" <td>1077.71400</td>\n",
" <td>35448.3160</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>516829</td>\n",
" <td>310.850458</td>\n",
" <td>36</td>\n",
" <td>40.0</td>\n",
" <td>663626.973875</td>\n",
" <td>244923.013707</td>\n",
" <td>220.0</td>\n",
" <td>175.582552</td>\n",
" <td>1</td>\n",
" <td>1227.76890</td>\n",
" <td>29484.4120</td>\n",
" <td>1095.67040</td>\n",
" <td>26284.1100</td>\n",
" <td>175.582552</td>\n",
" <td>1</td>\n",
" <td>1227.76890</td>\n",
" <td>29484.4120</td>\n",
" <td>1095.67040</td>\n",
" <td>26284.1100</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>516830</td>\n",
" <td>383.391319</td>\n",
" <td>35</td>\n",
" <td>-140.0</td>\n",
" <td>663631.894028</td>\n",
" <td>244928.939901</td>\n",
" <td>40.0</td>\n",
" <td>211.596335</td>\n",
" <td>0</td>\n",
" <td>752.70890</td>\n",
" <td>22028.8320</td>\n",
" <td>690.46760</td>\n",
" <td>20217.2030</td>\n",
" <td>211.596335</td>\n",
" <td>0</td>\n",
" <td>752.70890</td>\n",
" <td>22028.8320</td>\n",
" <td>690.46760</td>\n",
" <td>20217.2030</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>524274</td>\n",
" <td>576.782934</td>\n",
" <td>0</td>\n",
" <td>0.0</td>\n",
" <td>662132.956079</td>\n",
" <td>245367.576229</td>\n",
" <td>180.0</td>\n",
" <td>188.405572</td>\n",
" <td>1</td>\n",
" <td>1279.76550</td>\n",
" <td>37823.2580</td>\n",
" <td>1152.11660</td>\n",
" <td>34008.1560</td>\n",
" <td>376.811145</td>\n",
" <td>1</td>\n",
" <td>1122.94870</td>\n",
" <td>59331.0160</td>\n",
" <td>1018.17035</td>\n",
" <td>53692.1130</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>524319</td>\n",
" <td>1287.753600</td>\n",
" <td>7</td>\n",
" <td>135.0</td>\n",
" <td>662367.600427</td>\n",
" <td>245339.301229</td>\n",
" <td>315.0</td>\n",
" <td>1044.109200</td>\n",
" <td>1</td>\n",
" <td>1139.03820</td>\n",
" <td>163379.0500</td>\n",
" <td>1033.86410</td>\n",
" <td>148080.1900</td>\n",
" <td>1044.109200</td>\n",
" <td>1</td>\n",
" <td>1159.61010</td>\n",
" <td>167997.1100</td>\n",
" <td>1052.50950</td>\n",
" <td>152305.1900</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>527252</td>\n",
" <td>314.060533</td>\n",
" <td>8</td>\n",
" <td>45.0</td>\n",
" <td>662756.273884</td>\n",
" <td>245735.151701</td>\n",
" <td>225.0</td>\n",
" <td>220.011503</td>\n",
" <td>1</td>\n",
" <td>1197.49510</td>\n",
" <td>36108.2700</td>\n",
" <td>1080.95480</td>\n",
" <td>32547.7420</td>\n",
" <td>220.011503</td>\n",
" <td>1</td>\n",
" <td>1106.70650</td>\n",
" <td>33574.8480</td>\n",
" <td>1003.22375</td>\n",
" <td>30395.5230</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>527255</td>\n",
" <td>82.286418</td>\n",
" <td>34</td>\n",
" <td>45.0</td>\n",
" <td>662760.018924</td>\n",
" <td>245738.934737</td>\n",
" <td>225.0</td>\n",
" <td>15.096212</td>\n",
" <td>1</td>\n",
" <td>1324.01750</td>\n",
" <td>2722.1729</td>\n",
" <td>1181.83340</td>\n",
" <td>2423.6575</td>\n",
" <td>15.096212</td>\n",
" <td>1</td>\n",
" <td>1324.01750</td>\n",
" <td>2722.1729</td>\n",
" <td>1181.83340</td>\n",
" <td>2423.6575</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>531828</td>\n",
" <td>1882.508316</td>\n",
" <td>0</td>\n",
" <td>0.0</td>\n",
" <td>662600.851946</td>\n",
" <td>246013.701051</td>\n",
" <td>180.0</td>\n",
" <td>678.683779</td>\n",
" <td>1</td>\n",
" <td>1270.64070</td>\n",
" <td>135478.7200</td>\n",
" <td>1144.56360</td>\n",
" <td>121932.9900</td>\n",
" <td>1357.367557</td>\n",
" <td>1</td>\n",
" <td>1114.51610</td>\n",
" <td>212454.0000</td>\n",
" <td>1011.06494</td>\n",
" <td>192432.4700</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" DF_UID FLAECHE NEIGUNG AUSRICHTUNG XCOORD YCOORD \\\n",
"0 496867 191.034016 18 -130.0 663448.775159 243551.629905 \n",
"1 496868 171.580982 19 50.0 663443.733721 243548.696613 \n",
"2 496928 186.248368 29 140.0 663466.797413 243560.904906 \n",
"3 496929 279.796254 32 -40.0 663473.564138 243553.263365 \n",
"4 496930 232.033657 9 140.0 663460.459822 243568.632973 \n",
"5 506515 56.981732 11 -20.0 664790.034283 244454.199114 \n",
"6 506519 290.685770 12 -20.0 664805.495960 244442.719157 \n",
"7 506520 286.109724 13 160.0 664802.448615 244451.307892 \n",
"8 506526 351.877356 4 160.0 664797.099785 244466.373209 \n",
"9 506527 117.868736 6 160.0 664798.903452 244475.987975 \n",
"10 511102 326.101715 34 -3.0 663284.858225 244641.693543 \n",
"11 511103 120.003733 18 -3.0 663294.208786 244634.790313 \n",
"12 516247 627.693369 0 0.0 663353.239398 245003.852686 \n",
"13 516307 619.413420 0 0.0 663334.226960 244956.978949 \n",
- "14 516500 174.279890 0 0.0 663693.814381 244779.570688 \n",
- "15 516546 374.111055 20 129.0 663650.364956 244784.454870 \n",
- "16 516547 375.279997 20 -51.0 663659.229615 244777.179853 \n",
+ "14 516546 374.111055 20 129.0 663650.364956 244784.454870 \n",
+ "15 516547 375.279997 20 -51.0 663659.229615 244777.179853 \n",
+ "16 516793 320.595936 30 10.0 663692.393709 244785.185141 \n",
"17 516794 410.999852 24 -170.0 663692.302467 244792.219806 \n",
"18 516807 102.496594 43 -9.0 663503.351092 244888.187935 \n",
"19 516827 310.651093 35 -140.0 663622.586483 244917.727724 \n",
"20 516828 386.205375 36 40.0 663617.689604 244911.828416 \n",
"21 516829 310.850458 36 40.0 663626.973875 244923.013707 \n",
"22 516830 383.391319 35 -140.0 663631.894028 244928.939901 \n",
"23 524274 576.782934 0 0.0 662132.956079 245367.576229 \n",
"24 524319 1287.753600 7 135.0 662367.600427 245339.301229 \n",
"25 527252 314.060533 8 45.0 662756.273884 245735.151701 \n",
"26 527255 82.286418 34 45.0 662760.018924 245738.934737 \n",
"27 531828 1882.508316 0 0.0 662600.851946 246013.701051 \n",
"\n",
" panel_direction available_area_base suitable_base 2018_Gt_kWh_m2_base \\\n",
"0 50.0 129.518123 0 913.03766 \n",
"1 230.0 114.056531 1 1186.54150 \n",
"2 320.0 106.223086 0 824.43740 \n",
"3 140.0 194.241340 1 1230.54570 \n",
"4 320.0 178.611786 1 1047.56140 \n",
"5 160.0 26.550829 1 1187.32100 \n",
"6 160.0 195.868567 1 1269.84850 \n",
"7 340.0 191.791998 0 1019.15220 \n",
"8 340.0 223.620657 1 916.69260 \n",
"9 340.0 64.277066 1 938.67370 \n",
"10 177.0 207.483166 1 1252.19970 \n",
"11 177.0 65.254270 1 1101.68270 \n",
"12 180.0 196.476199 1 1248.85250 \n",
"13 180.0 216.492056 1 1231.17650 \n",
- "14 180.0 31.149384 1 1120.42650 \n",
- "15 309.0 279.853593 0 957.80493 \n",
- "16 129.0 278.203144 1 1188.31710 \n",
+ "14 309.0 279.853593 0 957.80493 \n",
+ "15 129.0 278.203144 1 1188.31710 \n",
+ "16 190.0 176.263558 1 1327.58150 \n",
"17 10.0 232.995814 0 816.89844 \n",
"18 171.0 34.052689 1 1135.56600 \n",
"19 40.0 173.695544 0 750.88806 \n",
"20 220.0 240.370760 1 1214.01230 \n",
"21 220.0 175.582552 1 1227.76890 \n",
"22 40.0 211.596335 0 752.70890 \n",
"23 180.0 188.405572 1 1279.76550 \n",
"24 315.0 1044.109200 1 1139.03820 \n",
"25 225.0 220.011503 1 1197.49510 \n",
"26 225.0 15.096212 1 1324.01750 \n",
"27 180.0 678.683779 1 1270.64070 \n",
"\n",
" 2018_EPV_kWh_base 2019_Gt_kWh_m2_base 2019_EPV_kWh_base \\\n",
"0 16277.7390 835.67584 14907.7740 \n",
"1 18505.2990 1070.12610 16678.8930 \n",
"2 12158.3740 750.55963 11065.9700 \n",
"3 32629.5530 1120.27450 29717.4820 \n",
"4 25758.1560 950.69520 23360.4410 \n",
"5 4310.3506 1069.79900 3879.1250 \n",
"6 33978.0500 1148.68860 30697.5760 \n",
"7 26977.5180 927.15080 24521.6820 \n",
"8 28215.6660 825.62520 25409.6430 \n",
"9 8333.1560 849.34030 7541.9880 \n",
"10 35530.7300 1124.61790 31894.2270 \n",
"11 9858.4750 994.68274 8903.1180 \n",
"12 38584.9140 1125.10850 34734.8900 \n",
"13 41916.7270 1109.68300 37748.0160 \n",
- "14 5515.5900 1006.66570 4957.5444 \n",
- "15 37048.9900 866.34106 33477.3440 \n",
- "16 45191.9200 1080.27760 41082.3800 \n",
+ "14 37048.9900 866.34106 33477.3440 \n",
+ "15 45191.9200 1080.27760 41082.3800 \n",
+ "16 31896.7270 1189.03150 28529.2660 \n",
"17 26366.9410 746.26180 24085.7200 \n",
"18 5302.0010 1025.78660 4789.6675 \n",
"19 18044.6330 689.16970 16572.2000 \n",
"20 39991.3480 1077.71400 35448.3160 \n",
"21 29484.4120 1095.67040 26284.1100 \n",
"22 22028.8320 690.46760 20217.2030 \n",
"23 37823.2580 1152.11660 34008.1560 \n",
"24 163379.0500 1033.86410 148080.1900 \n",
"25 36108.2700 1080.95480 32547.7420 \n",
"26 2722.1729 1181.83340 2423.6575 \n",
"27 135478.7200 1144.56360 121932.9900 \n",
"\n",
" available_area_ew suitable_ew 2018_Gt_kWh_m2_ew 2018_EPV_kWh_ew \\\n",
"0 129.518123 0 913.03766 16277.7390 \n",
"1 114.056531 1 1186.54150 18505.2990 \n",
"2 106.223086 0 824.43740 12158.3740 \n",
"3 194.241340 1 1230.54570 32629.5530 \n",
"4 178.611786 1 1083.23220 26792.1950 \n",
"5 26.550829 1 1187.32100 4310.3506 \n",
"6 195.868567 1 1269.84850 33978.0500 \n",
"7 191.791998 0 1019.15220 26977.5180 \n",
"8 223.620657 1 921.06570 28878.7640 \n",
"9 64.277066 1 969.85000 8720.9370 \n",
"10 207.483166 1 1252.19970 35530.7300 \n",
"11 65.254270 1 1101.68270 9858.4750 \n",
"12 392.952398 1 1093.42680 60392.4060 \n",
"13 432.984112 1 1078.02610 65603.1640 \n",
- "14 62.298768 1 961.23950 8458.0630 \n",
- "15 279.853593 0 957.80493 37048.9900 \n",
- "16 278.203144 1 1188.31710 45191.9200 \n",
+ "14 279.853593 0 957.80493 37048.9900 \n",
+ "15 278.203144 1 1188.31710 45191.9200 \n",
+ "16 176.263558 1 1327.58150 31896.7270 \n",
"17 232.995814 0 816.89844 26366.9410 \n",
"18 34.052689 1 1135.56600 5302.0010 \n",
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"26 15.096212 1 1324.01750 2722.1729 \n",
"27 1357.367557 1 1114.51610 212454.0000 \n",
"\n",
" 2019_Gt_kWh_m2_ew 2019_EPV_kWh_ew \n",
"0 835.67584 14907.7740 \n",
"1 1070.12610 16678.8930 \n",
"2 750.55963 11065.9700 \n",
"3 1120.27450 29717.4820 \n",
"4 981.94666 24277.7340 \n",
"5 1069.79900 3879.1250 \n",
"6 1148.68860 30697.5760 \n",
"7 927.15080 24521.6820 \n",
"8 828.43540 25974.7400 \n",
"9 876.52210 7886.1410 \n",
"10 1124.61790 31894.2270 \n",
"11 994.68274 8903.1180 \n",
"12 991.93300 54704.7730 \n",
"13 978.53796 59453.1200 \n",
- "14 868.28150 7636.5967 \n",
- "15 866.34106 33477.3440 \n",
- "16 1080.27760 41082.3800 \n",
+ "14 866.34106 33477.3440 \n",
+ "15 1080.27760 41082.3800 \n",
+ "16 1189.03150 28529.2660 \n",
"17 746.26180 24085.7200 \n",
"18 1025.78660 4789.6675 \n",
"19 689.16970 16572.2000 \n",
"20 1077.71400 35448.3160 \n",
"21 1095.67040 26284.1100 \n",
"22 690.46760 20217.2030 \n",
"23 1018.17035 53692.1130 \n",
"24 1052.50950 152305.1900 \n",
"25 1003.22375 30395.5230 \n",
"26 1181.83340 2423.6575 \n",
"27 1011.06494 192432.4700 "
]
},
- "execution_count": 16,
+ "execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"roofs_sample"
]
},
{
"cell_type": "code",
- "execution_count": 17,
+ "execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"roofs_sample.to_csv('sample_annual.csv')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Hourly data"
]
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"file_dict = { 'pv_potential' : 'pv_potential', 'tilted_irradiance' : 'tilted_irrad' }"
]
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 16,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Processing pv_potential for 2018\n",
"Saved 2018_pv_potential_base_sample.csv\n",
"Saved 2018_pv_potential_ew_sample.csv\n",
"Processing tilted_irradiance for 2018\n",
"Saved 2018_tilted_irrad_base_sample.csv\n",
"Saved 2018_tilted_irrad_ew_sample.csv\n",
"Processing pv_potential for 2019\n",
"Saved 2019_pv_potential_base_sample.csv\n",
"Saved 2019_pv_potential_ew_sample.csv\n",
"Processing tilted_irradiance for 2019\n",
"Saved 2019_tilted_irrad_base_sample.csv\n",
"Saved 2019_tilted_irrad_ew_sample.csv\n"
]
}
],
"source": [
"for year in [2018, 2019]:\n",
" for var in ['pv_potential', 'tilted_irradiance']:\n",
" print('Processing %s for %d' %(var, year))\n",
" \n",
" # Load data\n",
" data_all = xr.open_mfdataset('/scratch/walch/workdir_solar_hourly/tmp_%d/%s_*' %(year, file_dict[var]), \n",
" combine = 'by_coords')\n",
" data_ewf = xr.open_mfdataset('/scratch/walch/workdir_solar_EW_scenarios/tmp_%d/%s_*' %(year, file_dict[var]), \n",
" combine = 'by_coords')\n",
" \n",
" # Define the full timeframe for the given dataset\n",
" max_day = data_all.isel(DF_UID = 0).drop('DF_UID').to_dataframe().time.max().strftime('%Y-%m-%d')\n",
" min_day = data_all.isel(DF_UID = 0).drop('DF_UID').to_dataframe().time.min().strftime('%Y-%m-%d')\n",
" \n",
" frame = pd.DataFrame(index = pd.date_range(start='%s 00:00' %min_day, end='%s 23:00' %max_day, freq='1h') )\n",
" \n",
" # BASE SCENARIO\n",
" data_all_sample = data_all.sel(DF_UID = sample_roofs.DF_UID.values).compute()\n",
" \n",
" sample_base = ( pd.concat([frame, ( data_all_sample.to_dataframe().dropna().reset_index()\n",
" .pivot(values = var, columns = 'DF_UID', index = 'time')) ], axis=1)\n",
" .fillna(0))\n",
" \n",
" sample_base.to_csv('%d_%s_base_sample.csv' %(year, file_dict[var]))\n",
" print('Saved %s' %('%d_%s_base_sample.csv' %(year, file_dict[var])))\n",
" \n",
" # EW SCENARIO\n",
" data_ew_sample = data_ewf.sel(DF_UID = data_ewf.DF_UID.isin(sample_roofs.DF_UID).values).compute()\n",
" \n",
" sample_ew_flat = ( pd.concat([frame, ( data_ew_sample.to_dataframe().dropna().reset_index()\n",
" .pivot(values = var, columns = 'DF_UID', index = 'time')) ], axis=1)\n",
" .fillna(0))\n",
" \n",
" sample_ew = pd.concat( [ sample_base.drop( sample_ew_flat.columns, axis = 1 ), \n",
" sample_ew_flat], axis=1 ).sort_index(axis=1)\n",
" \n",
" sample_ew.to_csv( '%d_%s_ew_sample.csv' %(year, file_dict[var]))\n",
" print('Saved %s' %('%d_%s_ew_sample.csv' %(year, file_dict[var])))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Process individual files (pv_potential, 2018 and 2019)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"PV_2018_all = xr.open_mfdataset('/scratch/walch/workdir_solar_hourly/tmp_2018/pv_potential_*', combine = 'by_coords')\n",
"PV_2019_all = xr.open_mfdataset('/scratch/walch/workdir_solar_hourly/tmp_2019/pv_potential_*', combine = 'by_coords')\n",
"PV_2018_ewf = xr.open_mfdataset('/scratch/walch/workdir_solar_EW_scenarios/tmp_2018/pv_potential_*', \n",
" combine = 'by_coords')\n",
"PV_2019_ewf = xr.open_mfdataset('/scratch/walch/workdir_solar_EW_scenarios/tmp_2019/pv_potential_*', \n",
" combine = 'by_coords')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Base scenario"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"PV_2018_all_sample = PV_2018_all.sel(DF_UID = sample_roofs.DF_UID.values).compute()\n",
"PV_2019_all_sample = PV_2019_all.sel(DF_UID = sample_roofs.DF_UID.values).compute()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (DF_UID: 28, day: 31, timestamp: 154)\n",
"Coordinates:\n",
" * day (day) int64 1 2 3 4 5 6 7 8 9 ... 23 24 25 26 27 28 29 30 31\n",
" * timestamp (timestamp) datetime64[ns] 2001-01-15T07:00:00 ... 2001-12...\n",
" * DF_UID (DF_UID) int64 516828 516827 516829 ... 516500 516794 531828\n",
"Data variables:\n",
" pv_potential (DF_UID, timestamp, day) float32 nan nan ... 1843.5289\n",
" yearly_PV_kWh (DF_UID) float32 39991.348 18044.633 ... 26366.941 135478.72\n",
" time (DF_UID, day, timestamp) datetime64[ns] NaT ... 2018-12-31...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d6c4af65-ef3b-4567-9d50-3393de039cd6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d6c4af65-ef3b-4567-9d50-3393de039cd6' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>DF_UID</span>: 28</li><li><span class='xr-has-index'>day</span>: 31</li><li><span class='xr-has-index'>timestamp</span>: 154</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5f17c217-2884-4784-850b-4969883c542f' class='xr-section-summary-in' type='checkbox' checked><label for='section-5f17c217-2884-4784-850b-4969883c542f' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>day</span></div><div class='xr-var-dims'>(day)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 ... 26 27 28 29 30 31</div><input id='attrs-49ac38c8-1725-4983-b279-6e98d29da10a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-49ac38c8-1725-4983-b279-6e98d29da10a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88b1c53f-1c6d-4bbe-9c2c-5aa4091f0399' class='xr-var-data-in' type='checkbox'><label for='data-88b1c53f-1c6d-4bbe-9c2c-5aa4091f0399' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18,\n",
" 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>timestamp</span></div><div class='xr-var-dims'>(timestamp)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2001-01-15T07:00:00 ... 2001-12-...</div><input id='attrs-b319fd05-4044-4f57-9f23-4942c05c5960' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b319fd05-4044-4f57-9f23-4942c05c5960' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab55df21-f0c0-4567-b45d-993d460a33c4' class='xr-var-data-in' type='checkbox'><label for='data-ab55df21-f0c0-4567-b45d-993d460a33c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2001-01-15T07:00:00.000000000&#x27;, &#x27;2001-01-15T08:00:00.000000000&#x27;,\n",
" &#x27;2001-01-15T09:00:00.000000000&#x27;, &#x27;2001-01-15T10:00:00.000000000&#x27;,\n",
" &#x27;2001-01-15T11:00:00.000000000&#x27;, &#x27;2001-01-15T12:00:00.000000000&#x27;,\n",
" &#x27;2001-01-15T13:00:00.000000000&#x27;, &#x27;2001-01-15T14:00:00.000000000&#x27;,\n",
" &#x27;2001-01-15T15:00:00.000000000&#x27;, &#x27;2001-01-15T16:00:00.000000000&#x27;,\n",
" &#x27;2001-02-15T07:00:00.000000000&#x27;, &#x27;2001-02-15T08:00:00.000000000&#x27;,\n",
" &#x27;2001-02-15T09:00:00.000000000&#x27;, &#x27;2001-02-15T10:00:00.000000000&#x27;,\n",
" &#x27;2001-02-15T11:00:00.000000000&#x27;, &#x27;2001-02-15T12:00:00.000000000&#x27;,\n",
" &#x27;2001-02-15T13:00:00.000000000&#x27;, &#x27;2001-02-15T14:00:00.000000000&#x27;,\n",
" &#x27;2001-02-15T15:00:00.000000000&#x27;, &#x27;2001-02-15T16:00:00.000000000&#x27;,\n",
" &#x27;2001-02-15T17:00:00.000000000&#x27;, &#x27;2001-03-15T06:00:00.000000000&#x27;,\n",
" &#x27;2001-03-15T07:00:00.000000000&#x27;, &#x27;2001-03-15T08:00:00.000000000&#x27;,\n",
" &#x27;2001-03-15T09:00:00.000000000&#x27;, &#x27;2001-03-15T10:00:00.000000000&#x27;,\n",
" &#x27;2001-03-15T11:00:00.000000000&#x27;, &#x27;2001-03-15T12:00:00.000000000&#x27;,\n",
" &#x27;2001-03-15T13:00:00.000000000&#x27;, &#x27;2001-03-15T14:00:00.000000000&#x27;,\n",
" &#x27;2001-03-15T15:00:00.000000000&#x27;, &#x27;2001-03-15T16:00:00.000000000&#x27;,\n",
" &#x27;2001-03-15T17:00:00.000000000&#x27;, &#x27;2001-04-15T05:00:00.000000000&#x27;,\n",
" &#x27;2001-04-15T06:00:00.000000000&#x27;, &#x27;2001-04-15T07:00:00.000000000&#x27;,\n",
" &#x27;2001-04-15T08:00:00.000000000&#x27;, &#x27;2001-04-15T09:00:00.000000000&#x27;,\n",
" &#x27;2001-04-15T10:00:00.000000000&#x27;, &#x27;2001-04-15T11:00:00.000000000&#x27;,\n",
" &#x27;2001-04-15T12:00:00.000000000&#x27;, &#x27;2001-04-15T13:00:00.000000000&#x27;,\n",
" &#x27;2001-04-15T14:00:00.000000000&#x27;, &#x27;2001-04-15T15:00:00.000000000&#x27;,\n",
" &#x27;2001-04-15T16:00:00.000000000&#x27;, &#x27;2001-04-15T17:00:00.000000000&#x27;,\n",
" &#x27;2001-04-15T18:00:00.000000000&#x27;, &#x27;2001-05-15T04:00:00.000000000&#x27;,\n",
" &#x27;2001-05-15T05:00:00.000000000&#x27;, &#x27;2001-05-15T06:00:00.000000000&#x27;,\n",
" &#x27;2001-05-15T07:00:00.000000000&#x27;, &#x27;2001-05-15T08:00:00.000000000&#x27;,\n",
" &#x27;2001-05-15T09:00:00.000000000&#x27;, &#x27;2001-05-15T10:00:00.000000000&#x27;,\n",
" &#x27;2001-05-15T11:00:00.000000000&#x27;, &#x27;2001-05-15T12:00:00.000000000&#x27;,\n",
" &#x27;2001-05-15T13:00:00.000000000&#x27;, &#x27;2001-05-15T14:00:00.000000000&#x27;,\n",
" &#x27;2001-05-15T15:00:00.000000000&#x27;, &#x27;2001-05-15T16:00:00.000000000&#x27;,\n",
" &#x27;2001-05-15T17:00:00.000000000&#x27;, &#x27;2001-05-15T18:00:00.000000000&#x27;,\n",
" &#x27;2001-05-15T19:00:00.000000000&#x27;, &#x27;2001-06-15T04:00:00.000000000&#x27;,\n",
" &#x27;2001-06-15T05:00:00.000000000&#x27;, &#x27;2001-06-15T06:00:00.000000000&#x27;,\n",
" &#x27;2001-06-15T07:00:00.000000000&#x27;, &#x27;2001-06-15T08:00:00.000000000&#x27;,\n",
" &#x27;2001-06-15T09:00:00.000000000&#x27;, &#x27;2001-06-15T10:00:00.000000000&#x27;,\n",
" &#x27;2001-06-15T11:00:00.000000000&#x27;, &#x27;2001-06-15T12:00:00.000000000&#x27;,\n",
" &#x27;2001-06-15T13:00:00.000000000&#x27;, &#x27;2001-06-15T14:00:00.000000000&#x27;,\n",
" &#x27;2001-06-15T15:00:00.000000000&#x27;, &#x27;2001-06-15T16:00:00.000000000&#x27;,\n",
" &#x27;2001-06-15T17:00:00.000000000&#x27;, &#x27;2001-06-15T18:00:00.000000000&#x27;,\n",
" &#x27;2001-06-15T19:00:00.000000000&#x27;, &#x27;2001-07-15T04:00:00.000000000&#x27;,\n",
" &#x27;2001-07-15T05:00:00.000000000&#x27;, &#x27;2001-07-15T06:00:00.000000000&#x27;,\n",
" &#x27;2001-07-15T07:00:00.000000000&#x27;, &#x27;2001-07-15T08:00:00.000000000&#x27;,\n",
" &#x27;2001-07-15T09:00:00.000000000&#x27;, &#x27;2001-07-15T10:00:00.000000000&#x27;,\n",
" &#x27;2001-07-15T11:00:00.000000000&#x27;, &#x27;2001-07-15T12:00:00.000000000&#x27;,\n",
" &#x27;2001-07-15T13:00:00.000000000&#x27;, &#x27;2001-07-15T14:00:00.000000000&#x27;,\n",
" &#x27;2001-07-15T15:00:00.000000000&#x27;, &#x27;2001-07-15T16:00:00.000000000&#x27;,\n",
" &#x27;2001-07-15T17:00:00.000000000&#x27;, &#x27;2001-07-15T18:00:00.000000000&#x27;,\n",
" &#x27;2001-07-15T19:00:00.000000000&#x27;, &#x27;2001-08-15T05:00:00.000000000&#x27;,\n",
" &#x27;2001-08-15T06:00:00.000000000&#x27;, &#x27;2001-08-15T07:00:00.000000000&#x27;,\n",
" &#x27;2001-08-15T08:00:00.000000000&#x27;, &#x27;2001-08-15T09:00:00.000000000&#x27;,\n",
" &#x27;2001-08-15T10:00:00.000000000&#x27;, &#x27;2001-08-15T11:00:00.000000000&#x27;,\n",
" &#x27;2001-08-15T12:00:00.000000000&#x27;, &#x27;2001-08-15T13:00:00.000000000&#x27;,\n",
" &#x27;2001-08-15T14:00:00.000000000&#x27;, &#x27;2001-08-15T15:00:00.000000000&#x27;,\n",
" &#x27;2001-08-15T16:00:00.000000000&#x27;, &#x27;2001-08-15T17:00:00.000000000&#x27;,\n",
" &#x27;2001-08-15T18:00:00.000000000&#x27;, &#x27;2001-09-15T05:00:00.000000000&#x27;,\n",
" &#x27;2001-09-15T06:00:00.000000000&#x27;, &#x27;2001-09-15T07:00:00.000000000&#x27;,\n",
" &#x27;2001-09-15T08:00:00.000000000&#x27;, &#x27;2001-09-15T09:00:00.000000000&#x27;,\n",
" &#x27;2001-09-15T10:00:00.000000000&#x27;, &#x27;2001-09-15T11:00:00.000000000&#x27;,\n",
" &#x27;2001-09-15T12:00:00.000000000&#x27;, &#x27;2001-09-15T13:00:00.000000000&#x27;,\n",
" &#x27;2001-09-15T14:00:00.000000000&#x27;, &#x27;2001-09-15T15:00:00.000000000&#x27;,\n",
" &#x27;2001-09-15T16:00:00.000000000&#x27;, &#x27;2001-09-15T17:00:00.000000000&#x27;,\n",
" &#x27;2001-09-15T18:00:00.000000000&#x27;, &#x27;2001-10-15T06:00:00.000000000&#x27;,\n",
" &#x27;2001-10-15T07:00:00.000000000&#x27;, &#x27;2001-10-15T08:00:00.000000000&#x27;,\n",
" &#x27;2001-10-15T09:00:00.000000000&#x27;, &#x27;2001-10-15T10:00:00.000000000&#x27;,\n",
" &#x27;2001-10-15T11:00:00.000000000&#x27;, &#x27;2001-10-15T12:00:00.000000000&#x27;,\n",
" &#x27;2001-10-15T13:00:00.000000000&#x27;, &#x27;2001-10-15T14:00:00.000000000&#x27;,\n",
" &#x27;2001-10-15T15:00:00.000000000&#x27;, &#x27;2001-10-15T16:00:00.000000000&#x27;,\n",
" &#x27;2001-10-15T17:00:00.000000000&#x27;, &#x27;2001-11-15T07:00:00.000000000&#x27;,\n",
" &#x27;2001-11-15T08:00:00.000000000&#x27;, &#x27;2001-11-15T09:00:00.000000000&#x27;,\n",
" &#x27;2001-11-15T10:00:00.000000000&#x27;, &#x27;2001-11-15T11:00:00.000000000&#x27;,\n",
" &#x27;2001-11-15T12:00:00.000000000&#x27;, &#x27;2001-11-15T13:00:00.000000000&#x27;,\n",
" &#x27;2001-11-15T14:00:00.000000000&#x27;, &#x27;2001-11-15T15:00:00.000000000&#x27;,\n",
" &#x27;2001-11-15T16:00:00.000000000&#x27;, &#x27;2001-12-15T07:00:00.000000000&#x27;,\n",
" &#x27;2001-12-15T08:00:00.000000000&#x27;, &#x27;2001-12-15T09:00:00.000000000&#x27;,\n",
" &#x27;2001-12-15T10:00:00.000000000&#x27;, &#x27;2001-12-15T11:00:00.000000000&#x27;,\n",
" &#x27;2001-12-15T12:00:00.000000000&#x27;, &#x27;2001-12-15T13:00:00.000000000&#x27;,\n",
" &#x27;2001-12-15T14:00:00.000000000&#x27;, &#x27;2001-12-15T15:00:00.000000000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>DF_UID</span></div><div class='xr-var-dims'>(DF_UID)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>516828 516827 ... 516794 531828</div><input id='attrs-49338c7b-38e3-438c-988b-8cf52c2c1972' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-49338c7b-38e3-438c-988b-8cf52c2c1972' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e64de14-42a1-4e07-8508-f78d71b1f74b' class='xr-var-data-in' type='checkbox'><label for='data-8e64de14-42a1-4e07-8508-f78d71b1f74b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([516828, 516827, 516829, 516830, 527252, 527255, 506519, 506520, 506515,\n",
" 506526, 506527, 496929, 496928, 496930, 496868, 496867, 516307, 511102,\n",
" 511103, 524274, 516807, 524319, 516247, 516546, 516547, 516500, 516794,\n",
" 531828])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0201822a-de5d-4443-9ca6-3a973b8fdd33' class='xr-section-summary-in' type='checkbox' checked><label for='section-0201822a-de5d-4443-9ca6-3a973b8fdd33' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>pv_potential</span></div><div class='xr-var-dims'>(DF_UID, timestamp, day)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 360.47983 1843.5289</div><input id='attrs-931259bc-d04b-436f-bea4-13a88acb4b91' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-931259bc-d04b-436f-bea4-13a88acb4b91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7dbbc5d7-d180-4ae2-b440-83ac7e10955f' class='xr-var-data-in' type='checkbox'><label for='data-7dbbc5d7-d180-4ae2-b440-83ac7e10955f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[ nan, nan, nan, ...,\n",
" nan, nan, nan],\n",
" [1.6490830e+03, 1.2524557e+03, 4.1004825e+02, ...,\n",
" 1.8691881e+03, 1.2684392e+03, 1.6210100e+03],\n",
" [5.2904595e+03, 4.4463232e+03, 4.9308688e+02, ...,\n",
" 5.1482148e+03, 5.0387593e+03, 3.9245833e+03],\n",
" ...,\n",
" [1.9977992e+04, 3.7592969e+02, 2.9881741e+03, ...,\n",
" 3.4316092e+02, 9.6666876e+02, 1.3597727e+03],\n",
" [1.7414193e+04, 1.1211945e+03, 1.2781376e+03, ...,\n",
" 2.2726765e+02, 2.6054385e+02, 9.3705780e+02],\n",
" [1.0077269e+04, 2.2150554e+03, 9.8768181e+01, ...,\n",
" 9.6031853e+01, 1.4835332e+02, 7.9494495e+02]],\n",
"\n",
" [[ nan, nan, nan, ...,\n",
" nan, nan, nan],\n",
" [1.1380005e+03, 8.5514124e+02, 3.0208734e+02, ...,\n",
" 2.4954878e+03, 1.4637650e+03, 1.6320706e+03],\n",
" [1.2677604e+03, 1.0814697e+03, 3.3552875e+02, ...,\n",
" 1.8273336e+03, 1.9873988e+03, 1.8078696e+03],\n",
"...\n",
" [1.5379340e+03, 3.6536005e+02, 2.1568025e+03, ...,\n",
" 3.3159558e+02, 9.3038562e+02, 1.2840098e+03],\n",
" [9.8999017e+02, 3.9972495e+02, 8.5451459e+02, ...,\n",
" 2.0572211e+02, 2.3570876e+02, 7.7332129e+02],\n",
" [3.0109961e+02, 1.4660350e+02, 5.8883835e+01, ...,\n",
" 5.7530979e+01, 8.8825012e+01, 1.8949414e+02]],\n",
"\n",
" [[ nan, nan, nan, ...,\n",
" nan, nan, nan],\n",
" [8.7087988e+03, 7.0538828e+03, 1.5401675e+03, ...,\n",
" 1.0022629e+04, 5.8142690e+03, 8.5225908e+03],\n",
" [2.1058877e+04, 1.4442623e+04, 1.7165413e+03, ...,\n",
" 1.8797215e+04, 1.6629309e+04, 9.2675371e+03],\n",
" ...,\n",
" [4.3728152e+04, 1.2978834e+03, 8.9384502e+03, ...,\n",
" 1.2401973e+03, 3.2494697e+03, 4.0129644e+03],\n",
" [2.3655547e+04, 2.1752537e+03, 3.8513645e+03, ...,\n",
" 8.0498218e+02, 9.9274353e+02, 2.9622046e+03],\n",
" [4.4279946e+03, 1.5142072e+03, 2.4064532e+02, ...,\n",
" 2.7038327e+02, 3.6047983e+02, 1.8435289e+03]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>yearly_PV_kWh</span></div><div class='xr-var-dims'>(DF_UID)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>39991.348 18044.633 ... 135478.72</div><input id='attrs-4fe7665f-81f9-4c2a-9423-21d59e5b08c2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4fe7665f-81f9-4c2a-9423-21d59e5b08c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b19e4185-1c69-4323-a3bd-878147442b31' class='xr-var-data-in' type='checkbox'><label for='data-b19e4185-1c69-4323-a3bd-878147442b31' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 39991.348 , 18044.633 , 29484.412 , 22028.832 , 36108.27 ,\n",
" 2722.1729, 33978.05 , 26977.518 , 4310.3506, 28215.666 ,\n",
" 8333.156 , 32629.553 , 12158.374 , 25758.156 , 18505.299 ,\n",
" 16277.739 , 41916.727 , 35530.73 , 9858.475 , 37823.258 ,\n",
" 5302.001 , 163379.05 , 38584.914 , 37048.99 , 45191.92 ,\n",
" 5515.59 , 26366.941 , 135478.72 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(DF_UID, day, timestamp)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>NaT ... 2018-12-31T15:00:00</div><input id='attrs-5a1c0242-0ffa-4c4b-abb7-93f5394fa103' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a1c0242-0ffa-4c4b-abb7-93f5394fa103' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a8619d9-f175-4185-98d2-901c1b0c976e' class='xr-var-data-in' type='checkbox'><label for='data-0a8619d9-f175-4185-98d2-901c1b0c976e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([[[ &#x27;NaT&#x27;,\n",
" &#x27;2018-01-01T08:00:00.000000000&#x27;,\n",
" &#x27;2018-01-01T09:00:00.000000000&#x27;, ...,\n",
" &#x27;2018-12-01T13:00:00.000000000&#x27;,\n",
" &#x27;2018-12-01T14:00:00.000000000&#x27;,\n",
" &#x27;2018-12-01T15:00:00.000000000&#x27;],\n",
" [ &#x27;NaT&#x27;,\n",
" &#x27;2018-01-02T08:00:00.000000000&#x27;,\n",
" &#x27;2018-01-02T09:00:00.000000000&#x27;, ...,\n",
" &#x27;2018-12-02T13:00:00.000000000&#x27;,\n",
" &#x27;2018-12-02T14:00:00.000000000&#x27;,\n",
" &#x27;2018-12-02T15:00:00.000000000&#x27;],\n",
" [ &#x27;NaT&#x27;,\n",
" &#x27;2018-01-03T08:00:00.000000000&#x27;,\n",
" &#x27;2018-01-03T09:00:00.000000000&#x27;, ...,\n",
" &#x27;2018-12-03T13:00:00.000000000&#x27;,\n",
" &#x27;2018-12-03T14:00:00.000000000&#x27;,\n",
" &#x27;2018-12-03T15:00:00.000000000&#x27;],\n",
" ...,\n",
" [&#x27;2018-01-29T07:00:00.000000000&#x27;,\n",
"...\n",
" &#x27;2018-12-03T15:00:00.000000000&#x27;],\n",
" ...,\n",
" [&#x27;2018-01-29T07:00:00.000000000&#x27;,\n",
" &#x27;2018-01-29T08:00:00.000000000&#x27;,\n",
" &#x27;2018-01-29T09:00:00.000000000&#x27;, ...,\n",
" &#x27;2018-12-29T13:00:00.000000000&#x27;,\n",
" &#x27;2018-12-29T14:00:00.000000000&#x27;,\n",
" &#x27;2018-12-29T15:00:00.000000000&#x27;],\n",
" [&#x27;2018-01-30T07:00:00.000000000&#x27;,\n",
" &#x27;2018-01-30T08:00:00.000000000&#x27;,\n",
" &#x27;2018-01-30T09:00:00.000000000&#x27;, ...,\n",
" &#x27;2018-12-30T13:00:00.000000000&#x27;,\n",
" &#x27;2018-12-30T14:00:00.000000000&#x27;,\n",
" &#x27;2018-12-30T15:00:00.000000000&#x27;],\n",
" [&#x27;2018-01-31T07:00:00.000000000&#x27;,\n",
" &#x27;2018-01-31T08:00:00.000000000&#x27;,\n",
" &#x27;2018-01-31T09:00:00.000000000&#x27;, ...,\n",
" &#x27;2018-12-31T13:00:00.000000000&#x27;,\n",
" &#x27;2018-12-31T14:00:00.000000000&#x27;,\n",
" &#x27;2018-12-31T15:00:00.000000000&#x27;]]], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5eb51176-b43c-4183-8649-5bdd4d9984ea' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5eb51176-b43c-4183-8649-5bdd4d9984ea' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (DF_UID: 28, day: 31, timestamp: 154)\n",
"Coordinates:\n",
" * day (day) int64 1 2 3 4 5 6 7 8 9 ... 23 24 25 26 27 28 29 30 31\n",
" * timestamp (timestamp) datetime64[ns] 2001-01-15T07:00:00 ... 2001-12...\n",
" * DF_UID (DF_UID) int64 516828 516827 516829 ... 516500 516794 531828\n",
"Data variables:\n",
" pv_potential (DF_UID, timestamp, day) float32 nan nan ... 1843.5289\n",
" yearly_PV_kWh (DF_UID) float32 39991.348 18044.633 ... 26366.941 135478.72\n",
" time (DF_UID, day, timestamp) datetime64[ns] NaT ... 2018-12-31..."
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"PV_2018_all_sample"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"max_day18 = PV_2018_all.isel(DF_UID = 0).drop('DF_UID').to_dataframe().time.max().strftime('%Y-%m-%d')\n",
"max_day19 = PV_2019_all.isel(DF_UID = 0).drop('DF_UID').to_dataframe().time.max().strftime('%Y-%m-%d')\n",
"\n",
"min_day18 = PV_2018_all.isel(DF_UID = 0).drop('DF_UID').to_dataframe().time.min().strftime('%Y-%m-%d')\n",
"min_day19 = PV_2019_all.isel(DF_UID = 0).drop('DF_UID').to_dataframe().time.min().strftime('%Y-%m-%d')\n",
"\n",
"frame18 = pd.DataFrame(index = pd.date_range(start='%s 00:00' %min_day18, end='%s 23:00' %max_day18, freq='1h') )\n",
"frame19 = pd.DataFrame(index = pd.date_range(start='%s 00:00' %min_day18, end='%s 23:00' %max_day19, freq='1h') )"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"PV_2018_base = ( pd.concat([frame18, ( PV_2018_all_sample.to_dataframe().dropna().reset_index()\n",
" .pivot(values = 'pv_potential', columns = 'DF_UID', index = 'time')) ], axis=1)\n",
" .fillna(0))"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"PV_2019_base = ( pd.concat([frame19, ( PV_2019_all_sample.to_dataframe().dropna().reset_index()\n",
" .pivot(values = 'pv_potential', columns = 'DF_UID', index = 'time')) ], axis=1)\n",
" .fillna(0))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### EW scenario"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"PV_2018_ew_sample = PV_2018_ewf.sel(DF_UID = PV_2018_ewf.DF_UID.isin(sample_roofs.DF_UID).values).compute()\n",
"PV_2019_ew_sample = PV_2019_ewf.sel(DF_UID = PV_2019_ewf.DF_UID.isin(sample_roofs.DF_UID).values).compute()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (DF_UID: 10, day: 31, timestamp: 154)\n",
"Coordinates:\n",
" * day (day) int64 1 2 3 4 5 6 7 8 9 ... 23 24 25 26 27 28 29 30 31\n",
" * timestamp (timestamp) datetime64[ns] 2001-01-15T07:00:00 ... 2001-12...\n",
" * DF_UID (DF_UID) int64 496930 506526 506527 ... 524319 527252 531828\n",
"Data variables:\n",
" pv_potential (DF_UID, timestamp, day) float32 nan nan ... 2940.3083\n",
" yearly_PV_kWh (DF_UID) float32 26792.195 28878.764 ... 33574.848 212454.0\n",
" time (DF_UID, day, timestamp) datetime64[ns] NaT ... 2018-12-31...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7b87c583-2431-4838-adab-52de177a87eb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7b87c583-2431-4838-adab-52de177a87eb' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>DF_UID</span>: 10</li><li><span class='xr-has-index'>day</span>: 31</li><li><span class='xr-has-index'>timestamp</span>: 154</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b3afbf94-46e9-4973-9b00-03295b72a3fa' class='xr-section-summary-in' type='checkbox' checked><label for='section-b3afbf94-46e9-4973-9b00-03295b72a3fa' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>day</span></div><div class='xr-var-dims'>(day)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 ... 26 27 28 29 30 31</div><input id='attrs-6685229d-5bb0-4cf5-a2e1-982e3e2ed1fb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6685229d-5bb0-4cf5-a2e1-982e3e2ed1fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9c2e701-06eb-417e-b6c0-34f83db670f2' class='xr-var-data-in' type='checkbox'><label for='data-e9c2e701-06eb-417e-b6c0-34f83db670f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18,\n",
" 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>timestamp</span></div><div class='xr-var-dims'>(timestamp)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2001-01-15T07:00:00 ... 2001-12-...</div><input id='attrs-2a88ca64-40c6-474a-97ba-306f1b91d8b7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2a88ca64-40c6-474a-97ba-306f1b91d8b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3605c1d8-ade7-41ef-bc1b-fb6e10677c4c' class='xr-var-data-in' type='checkbox'><label for='data-3605c1d8-ade7-41ef-bc1b-fb6e10677c4c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2001-01-15T07:00:00.000000000&#x27;, &#x27;2001-01-15T08:00:00.000000000&#x27;,\n",
" &#x27;2001-01-15T09:00:00.000000000&#x27;, &#x27;2001-01-15T10:00:00.000000000&#x27;,\n",
" &#x27;2001-01-15T11:00:00.000000000&#x27;, &#x27;2001-01-15T12:00:00.000000000&#x27;,\n",
" &#x27;2001-01-15T13:00:00.000000000&#x27;, &#x27;2001-01-15T14:00:00.000000000&#x27;,\n",
" &#x27;2001-01-15T15:00:00.000000000&#x27;, &#x27;2001-01-15T16:00:00.000000000&#x27;,\n",
" &#x27;2001-02-15T07:00:00.000000000&#x27;, &#x27;2001-02-15T08:00:00.000000000&#x27;,\n",
" &#x27;2001-02-15T09:00:00.000000000&#x27;, &#x27;2001-02-15T10:00:00.000000000&#x27;,\n",
" &#x27;2001-02-15T11:00:00.000000000&#x27;, &#x27;2001-02-15T12:00:00.000000000&#x27;,\n",
" &#x27;2001-02-15T13:00:00.000000000&#x27;, &#x27;2001-02-15T14:00:00.000000000&#x27;,\n",
" &#x27;2001-02-15T15:00:00.000000000&#x27;, &#x27;2001-02-15T16:00:00.000000000&#x27;,\n",
" &#x27;2001-02-15T17:00:00.000000000&#x27;, &#x27;2001-03-15T06:00:00.000000000&#x27;,\n",
" &#x27;2001-03-15T07:00:00.000000000&#x27;, &#x27;2001-03-15T08:00:00.000000000&#x27;,\n",
" &#x27;2001-03-15T09:00:00.000000000&#x27;, &#x27;2001-03-15T10:00:00.000000000&#x27;,\n",
" &#x27;2001-03-15T11:00:00.000000000&#x27;, &#x27;2001-03-15T12:00:00.000000000&#x27;,\n",
" &#x27;2001-03-15T13:00:00.000000000&#x27;, &#x27;2001-03-15T14:00:00.000000000&#x27;,\n",
" &#x27;2001-03-15T15:00:00.000000000&#x27;, &#x27;2001-03-15T16:00:00.000000000&#x27;,\n",
" &#x27;2001-03-15T17:00:00.000000000&#x27;, &#x27;2001-04-15T05:00:00.000000000&#x27;,\n",
" &#x27;2001-04-15T06:00:00.000000000&#x27;, &#x27;2001-04-15T07:00:00.000000000&#x27;,\n",
" &#x27;2001-04-15T08:00:00.000000000&#x27;, &#x27;2001-04-15T09:00:00.000000000&#x27;,\n",
" &#x27;2001-04-15T10:00:00.000000000&#x27;, &#x27;2001-04-15T11:00:00.000000000&#x27;,\n",
" &#x27;2001-04-15T12:00:00.000000000&#x27;, &#x27;2001-04-15T13:00:00.000000000&#x27;,\n",
" &#x27;2001-04-15T14:00:00.000000000&#x27;, &#x27;2001-04-15T15:00:00.000000000&#x27;,\n",
" &#x27;2001-04-15T16:00:00.000000000&#x27;, &#x27;2001-04-15T17:00:00.000000000&#x27;,\n",
" &#x27;2001-04-15T18:00:00.000000000&#x27;, &#x27;2001-05-15T04:00:00.000000000&#x27;,\n",
" &#x27;2001-05-15T05:00:00.000000000&#x27;, &#x27;2001-05-15T06:00:00.000000000&#x27;,\n",
" &#x27;2001-05-15T07:00:00.000000000&#x27;, &#x27;2001-05-15T08:00:00.000000000&#x27;,\n",
" &#x27;2001-05-15T09:00:00.000000000&#x27;, &#x27;2001-05-15T10:00:00.000000000&#x27;,\n",
" &#x27;2001-05-15T11:00:00.000000000&#x27;, &#x27;2001-05-15T12:00:00.000000000&#x27;,\n",
" &#x27;2001-05-15T13:00:00.000000000&#x27;, &#x27;2001-05-15T14:00:00.000000000&#x27;,\n",
" &#x27;2001-05-15T15:00:00.000000000&#x27;, &#x27;2001-05-15T16:00:00.000000000&#x27;,\n",
" &#x27;2001-05-15T17:00:00.000000000&#x27;, &#x27;2001-05-15T18:00:00.000000000&#x27;,\n",
" &#x27;2001-05-15T19:00:00.000000000&#x27;, &#x27;2001-06-15T04:00:00.000000000&#x27;,\n",
" &#x27;2001-06-15T05:00:00.000000000&#x27;, &#x27;2001-06-15T06:00:00.000000000&#x27;,\n",
" &#x27;2001-06-15T07:00:00.000000000&#x27;, &#x27;2001-06-15T08:00:00.000000000&#x27;,\n",
" &#x27;2001-06-15T09:00:00.000000000&#x27;, &#x27;2001-06-15T10:00:00.000000000&#x27;,\n",
" &#x27;2001-06-15T11:00:00.000000000&#x27;, &#x27;2001-06-15T12:00:00.000000000&#x27;,\n",
" &#x27;2001-06-15T13:00:00.000000000&#x27;, &#x27;2001-06-15T14:00:00.000000000&#x27;,\n",
" &#x27;2001-06-15T15:00:00.000000000&#x27;, &#x27;2001-06-15T16:00:00.000000000&#x27;,\n",
" &#x27;2001-06-15T17:00:00.000000000&#x27;, &#x27;2001-06-15T18:00:00.000000000&#x27;,\n",
" &#x27;2001-06-15T19:00:00.000000000&#x27;, &#x27;2001-07-15T04:00:00.000000000&#x27;,\n",
" &#x27;2001-07-15T05:00:00.000000000&#x27;, &#x27;2001-07-15T06:00:00.000000000&#x27;,\n",
" &#x27;2001-07-15T07:00:00.000000000&#x27;, &#x27;2001-07-15T08:00:00.000000000&#x27;,\n",
" &#x27;2001-07-15T09:00:00.000000000&#x27;, &#x27;2001-07-15T10:00:00.000000000&#x27;,\n",
" &#x27;2001-07-15T11:00:00.000000000&#x27;, &#x27;2001-07-15T12:00:00.000000000&#x27;,\n",
" &#x27;2001-07-15T13:00:00.000000000&#x27;, &#x27;2001-07-15T14:00:00.000000000&#x27;,\n",
" &#x27;2001-07-15T15:00:00.000000000&#x27;, &#x27;2001-07-15T16:00:00.000000000&#x27;,\n",
" &#x27;2001-07-15T17:00:00.000000000&#x27;, &#x27;2001-07-15T18:00:00.000000000&#x27;,\n",
" &#x27;2001-07-15T19:00:00.000000000&#x27;, &#x27;2001-08-15T05:00:00.000000000&#x27;,\n",
" &#x27;2001-08-15T06:00:00.000000000&#x27;, &#x27;2001-08-15T07:00:00.000000000&#x27;,\n",
" &#x27;2001-08-15T08:00:00.000000000&#x27;, &#x27;2001-08-15T09:00:00.000000000&#x27;,\n",
" &#x27;2001-08-15T10:00:00.000000000&#x27;, &#x27;2001-08-15T11:00:00.000000000&#x27;,\n",
" &#x27;2001-08-15T12:00:00.000000000&#x27;, &#x27;2001-08-15T13:00:00.000000000&#x27;,\n",
" &#x27;2001-08-15T14:00:00.000000000&#x27;, &#x27;2001-08-15T15:00:00.000000000&#x27;,\n",
" &#x27;2001-08-15T16:00:00.000000000&#x27;, &#x27;2001-08-15T17:00:00.000000000&#x27;,\n",
" &#x27;2001-08-15T18:00:00.000000000&#x27;, &#x27;2001-09-15T05:00:00.000000000&#x27;,\n",
" &#x27;2001-09-15T06:00:00.000000000&#x27;, &#x27;2001-09-15T07:00:00.000000000&#x27;,\n",
" &#x27;2001-09-15T08:00:00.000000000&#x27;, &#x27;2001-09-15T09:00:00.000000000&#x27;,\n",
" &#x27;2001-09-15T10:00:00.000000000&#x27;, &#x27;2001-09-15T11:00:00.000000000&#x27;,\n",
" &#x27;2001-09-15T12:00:00.000000000&#x27;, &#x27;2001-09-15T13:00:00.000000000&#x27;,\n",
" &#x27;2001-09-15T14:00:00.000000000&#x27;, &#x27;2001-09-15T15:00:00.000000000&#x27;,\n",
" &#x27;2001-09-15T16:00:00.000000000&#x27;, &#x27;2001-09-15T17:00:00.000000000&#x27;,\n",
" &#x27;2001-09-15T18:00:00.000000000&#x27;, &#x27;2001-10-15T06:00:00.000000000&#x27;,\n",
" &#x27;2001-10-15T07:00:00.000000000&#x27;, &#x27;2001-10-15T08:00:00.000000000&#x27;,\n",
" &#x27;2001-10-15T09:00:00.000000000&#x27;, &#x27;2001-10-15T10:00:00.000000000&#x27;,\n",
" &#x27;2001-10-15T11:00:00.000000000&#x27;, &#x27;2001-10-15T12:00:00.000000000&#x27;,\n",
" &#x27;2001-10-15T13:00:00.000000000&#x27;, &#x27;2001-10-15T14:00:00.000000000&#x27;,\n",
" &#x27;2001-10-15T15:00:00.000000000&#x27;, &#x27;2001-10-15T16:00:00.000000000&#x27;,\n",
" &#x27;2001-10-15T17:00:00.000000000&#x27;, &#x27;2001-11-15T07:00:00.000000000&#x27;,\n",
" &#x27;2001-11-15T08:00:00.000000000&#x27;, &#x27;2001-11-15T09:00:00.000000000&#x27;,\n",
" &#x27;2001-11-15T10:00:00.000000000&#x27;, &#x27;2001-11-15T11:00:00.000000000&#x27;,\n",
" &#x27;2001-11-15T12:00:00.000000000&#x27;, &#x27;2001-11-15T13:00:00.000000000&#x27;,\n",
" &#x27;2001-11-15T14:00:00.000000000&#x27;, &#x27;2001-11-15T15:00:00.000000000&#x27;,\n",
" &#x27;2001-11-15T16:00:00.000000000&#x27;, &#x27;2001-12-15T07:00:00.000000000&#x27;,\n",
" &#x27;2001-12-15T08:00:00.000000000&#x27;, &#x27;2001-12-15T09:00:00.000000000&#x27;,\n",
" &#x27;2001-12-15T10:00:00.000000000&#x27;, &#x27;2001-12-15T11:00:00.000000000&#x27;,\n",
" &#x27;2001-12-15T12:00:00.000000000&#x27;, &#x27;2001-12-15T13:00:00.000000000&#x27;,\n",
" &#x27;2001-12-15T14:00:00.000000000&#x27;, &#x27;2001-12-15T15:00:00.000000000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>DF_UID</span></div><div class='xr-var-dims'>(DF_UID)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>496930 506526 ... 527252 531828</div><input id='attrs-9c852ba1-6659-4893-914b-7b975f65b7c8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9c852ba1-6659-4893-914b-7b975f65b7c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14ac8016-e022-4b62-830f-49100a464333' class='xr-var-data-in' type='checkbox'><label for='data-14ac8016-e022-4b62-830f-49100a464333' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([496930, 506526, 506527, 516247, 516307, 516500, 524274, 524319, 527252,\n",
" 531828])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8559a993-9a17-4ef3-98ee-b3d2c979d769' class='xr-section-summary-in' type='checkbox' checked><label for='section-8559a993-9a17-4ef3-98ee-b3d2c979d769' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>pv_potential</span></div><div class='xr-var-dims'>(DF_UID, timestamp, day)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 687.18317 2940.3083</div><input id='attrs-989abf2a-842d-4163-8ea3-07a0ee053b6b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-989abf2a-842d-4163-8ea3-07a0ee053b6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41974080-5d10-49d3-ab38-6185529aaa46' class='xr-var-data-in' type='checkbox'><label for='data-41974080-5d10-49d3-ab38-6185529aaa46' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[ nan, nan, nan, ...,\n",
" nan, nan, nan],\n",
" [8.04551270e+02, 6.45936218e+02, 3.13070618e+02, ...,\n",
" 8.59043396e+02, 7.64036255e+02, 1.11489771e+03],\n",
" [1.69154724e+03, 1.15040381e+03, 6.02391479e+02, ...,\n",
" 1.87723877e+03, 1.65892017e+03, 1.60087000e+03],\n",
" ...,\n",
" [5.04345020e+03, 2.91460083e+02, 2.07851099e+03, ...,\n",
" 2.90434570e+02, 8.01206726e+02, 7.70892639e+02],\n",
" [3.24101929e+03, 5.25613403e+02, 8.29896240e+02, ...,\n",
" 1.86377823e+02, 2.59503998e+02, 6.68412598e+02],\n",
" [9.00810120e+02, 3.67062683e+02, 8.48004532e+01, ...,\n",
" 9.95654526e+01, 1.18020340e+02, 3.79423065e+02]],\n",
"\n",
" [[ nan, nan, nan, ...,\n",
" nan, nan, nan],\n",
" [6.36545959e+02, 5.68192322e+02, 2.55916595e+02, ...,\n",
" 6.75380493e+02, 6.07446411e+02, 9.03999146e+02],\n",
" [1.38869250e+03, 1.18478967e+03, 3.51594910e+02, ...,\n",
" 1.40828357e+03, 1.62065759e+03, 1.63904175e+03],\n",
"...\n",
" [7.71506055e+03, 3.90613647e+02, 2.45667847e+03, ...,\n",
" 3.71493469e+02, 9.71084473e+02, 1.19643408e+03],\n",
" [4.62959521e+03, 6.37633057e+02, 1.09877881e+03, ...,\n",
" 2.42226349e+02, 2.98582886e+02, 8.74550354e+02],\n",
" [1.51403845e+03, 4.49129303e+02, 7.77756882e+01, ...,\n",
" 8.69810715e+01, 1.15909416e+02, 5.41304443e+02]],\n",
"\n",
" [[ nan, nan, nan, ...,\n",
" nan, nan, nan],\n",
" [1.02050479e+04, 7.87777734e+03, 2.92624365e+03, ...,\n",
" 1.22696025e+04, 8.16206494e+03, 1.18551348e+04],\n",
" [2.37624023e+04, 1.74480605e+04, 3.28793701e+03, ...,\n",
" 2.38988555e+04, 2.28257930e+04, 1.54351182e+04],\n",
" ...,\n",
" [4.95170117e+04, 2.48706689e+03, 1.56527305e+04, ...,\n",
" 2.36531860e+03, 6.18310596e+03, 7.61814160e+03],\n",
" [2.57362520e+04, 3.99492017e+03, 6.87363965e+03, ...,\n",
" 1.53527148e+03, 1.89246814e+03, 5.50665869e+03],\n",
" [4.76033984e+03, 2.45877832e+03, 4.61104523e+02, ...,\n",
" 5.15678101e+02, 6.87183167e+02, 2.94030835e+03]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>yearly_PV_kWh</span></div><div class='xr-var-dims'>(DF_UID)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>26792.195 28878.764 ... 212454.0</div><input id='attrs-7b3c8a79-cfe5-4567-b5f2-f0cf380f1a68' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7b3c8a79-cfe5-4567-b5f2-f0cf380f1a68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7295f60e-7f15-41ed-b45c-4b18a6142faa' class='xr-var-data-in' type='checkbox'><label for='data-7295f60e-7f15-41ed-b45c-4b18a6142faa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 26792.195, 28878.764, 8720.937, 60392.406, 65603.164,\n",
" 8458.063, 59331.016, 167997.11 , 33574.848, 212454. ],\n",
" dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(DF_UID, day, timestamp)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>NaT ... 2018-12-31T15:00:00</div><input id='attrs-74c9647f-6567-49d9-b39a-fd894b1c5039' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74c9647f-6567-49d9-b39a-fd894b1c5039' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97a43d0f-961b-4dfa-aee8-8af50ffadf42' class='xr-var-data-in' type='checkbox'><label for='data-97a43d0f-961b-4dfa-aee8-8af50ffadf42' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([[[ &#x27;NaT&#x27;,\n",
" &#x27;2018-01-01T08:00:00.000000000&#x27;,\n",
" &#x27;2018-01-01T09:00:00.000000000&#x27;, ...,\n",
" &#x27;2018-12-01T13:00:00.000000000&#x27;,\n",
" &#x27;2018-12-01T14:00:00.000000000&#x27;,\n",
" &#x27;2018-12-01T15:00:00.000000000&#x27;],\n",
" [ &#x27;NaT&#x27;,\n",
" &#x27;2018-01-02T08:00:00.000000000&#x27;,\n",
" &#x27;2018-01-02T09:00:00.000000000&#x27;, ...,\n",
" &#x27;2018-12-02T13:00:00.000000000&#x27;,\n",
" &#x27;2018-12-02T14:00:00.000000000&#x27;,\n",
" &#x27;2018-12-02T15:00:00.000000000&#x27;],\n",
" [ &#x27;NaT&#x27;,\n",
" &#x27;2018-01-03T08:00:00.000000000&#x27;,\n",
" &#x27;2018-01-03T09:00:00.000000000&#x27;, ...,\n",
" &#x27;2018-12-03T13:00:00.000000000&#x27;,\n",
" &#x27;2018-12-03T14:00:00.000000000&#x27;,\n",
" &#x27;2018-12-03T15:00:00.000000000&#x27;],\n",
" ...,\n",
" [&#x27;2018-01-29T07:00:00.000000000&#x27;,\n",
"...\n",
" &#x27;2018-12-03T15:00:00.000000000&#x27;],\n",
" ...,\n",
" [&#x27;2018-01-29T07:00:00.000000000&#x27;,\n",
" &#x27;2018-01-29T08:00:00.000000000&#x27;,\n",
" &#x27;2018-01-29T09:00:00.000000000&#x27;, ...,\n",
" &#x27;2018-12-29T13:00:00.000000000&#x27;,\n",
" &#x27;2018-12-29T14:00:00.000000000&#x27;,\n",
" &#x27;2018-12-29T15:00:00.000000000&#x27;],\n",
" [&#x27;2018-01-30T07:00:00.000000000&#x27;,\n",
" &#x27;2018-01-30T08:00:00.000000000&#x27;,\n",
" &#x27;2018-01-30T09:00:00.000000000&#x27;, ...,\n",
" &#x27;2018-12-30T13:00:00.000000000&#x27;,\n",
" &#x27;2018-12-30T14:00:00.000000000&#x27;,\n",
" &#x27;2018-12-30T15:00:00.000000000&#x27;],\n",
" [&#x27;2018-01-31T07:00:00.000000000&#x27;,\n",
" &#x27;2018-01-31T08:00:00.000000000&#x27;,\n",
" &#x27;2018-01-31T09:00:00.000000000&#x27;, ...,\n",
" &#x27;2018-12-31T13:00:00.000000000&#x27;,\n",
" &#x27;2018-12-31T14:00:00.000000000&#x27;,\n",
" &#x27;2018-12-31T15:00:00.000000000&#x27;]]], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b1974583-e271-4242-9766-694f51376233' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b1974583-e271-4242-9766-694f51376233' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (DF_UID: 10, day: 31, timestamp: 154)\n",
"Coordinates:\n",
" * day (day) int64 1 2 3 4 5 6 7 8 9 ... 23 24 25 26 27 28 29 30 31\n",
" * timestamp (timestamp) datetime64[ns] 2001-01-15T07:00:00 ... 2001-12...\n",
" * DF_UID (DF_UID) int64 496930 506526 506527 ... 524319 527252 531828\n",
"Data variables:\n",
" pv_potential (DF_UID, timestamp, day) float32 nan nan ... 2940.3083\n",
" yearly_PV_kWh (DF_UID) float32 26792.195 28878.764 ... 33574.848 212454.0\n",
" time (DF_UID, day, timestamp) datetime64[ns] NaT ... 2018-12-31..."
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"PV_2018_ew_sample"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"PV_2018_ew_flat = ( pd.concat([frame18, ( PV_2018_ew_sample.to_dataframe().dropna().reset_index()\n",
" .pivot(values = 'pv_potential', columns = 'DF_UID', index = 'time')) ], axis=1)\n",
" .fillna(0))"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"PV_2019_ew_flat = ( pd.concat([frame19, ( PV_2019_ew_sample.to_dataframe().dropna().reset_index()\n",
" .pivot(values = 'pv_potential', columns = 'DF_UID', index = 'time')) ], axis=1)\n",
" .fillna(0))"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"PV_2018_ew = pd.concat( [PV_2018_base.drop( PV_2018_ew_flat.columns, axis = 1 ), \n",
" PV_2018_ew_flat], axis=1 ).sort_index(axis=1)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"PV_2019_ew = pd.concat( [PV_2019_base.drop( PV_2019_ew_flat.columns, axis = 1 ), \n",
" PV_2019_ew_flat], axis=1 ).sort_index(axis=1)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Visualise example"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
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"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"PV_2018_ew_flat.head()"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
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{
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},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"PV_2018_base_flat = PV_2018_base[ PV_2018_ew_flat.columns ]\n",
"PV_2018_base_flat.head()"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"521.11376"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"PV_2018_base_flat.sum().sum() / 1e6"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"672.202816"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"PV_2018_ew_flat.sum().sum() / 1e6"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [],
"source": [
"frame = pd.DataFrame(index = pd.date_range(start='2018-01-01 00:00', end='2018-12-31 23:00', freq='1h') )"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [],
"source": [
"PV_2018_ew_flat.index = pd.to_datetime(PV_2018_ew_flat.index)"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [],
"source": [
"PV_2018_base_flat.index = pd.to_datetime(PV_2018_base_flat.index)"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [],
"source": [
"hourly_df = pd.concat([frame, (PV_2018_base_flat[516247]).rename('base'), # .sum(axis = 1)/1e3\n",
" (PV_2018_ew_flat[516247]/2).rename('EW') ], axis = 1).fillna(0) # .sum(axis = 1)/1e3"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [
{
"data": {
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"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option);\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" // select the cell after this one\n",
" var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
" IPython.notebook.select(index + 1);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\" width=\"1000\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"hourly_df.plot(figsize = (10, 3))\n",
"plt.ylabel('Power (kW)')\n",
"plt.tight_layout()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Load roof info, just to double-check"
]
},
{
"cell_type": "code",
- "execution_count": 49,
+ "execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"ROOF_FP = '/work/hyenergy/output/solar_potential/geographic_potential/CH_ROOFS_all_replaced.csv'\n",
"roofs = pd.read_csv( ROOF_FP, usecols = ['DF_UID', 'NEIGUNG', 'AUSRICHTUNG', 'FLAECHE', 'panel_direction', \n",
" 'XCOORD', 'YCOORD'] )"
]
},
{
"cell_type": "code",
- "execution_count": 50,
+ "execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
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" .dataframe tbody tr th:only-of-type {\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Flaeche</th>\n",
" <th>Ausrichtung</th>\n",
" <th>Neigung</th>\n",
" <th>DF_UID</th>\n",
" <th>FLAECHE</th>\n",
" <th>NEIGUNG</th>\n",
" <th>AUSRICHTUNG</th>\n",
" <th>XCOORD</th>\n",
" <th>YCOORD</th>\n",
" <th>panel_direction</th>\n",
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" <td>664805.495960</td>\n",
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" <td>160.0</td>\n",
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" <td>506520</td>\n",
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" <td>160.0</td>\n",
" <td>664802.448615</td>\n",
" <td>244451.307892</td>\n",
" <td>340.0</td>\n",
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" <tr>\n",
" <th>17</th>\n",
" <td>326</td>\n",
" <td>177</td>\n",
" <td>34</td>\n",
" <td>511102</td>\n",
" <td>326.101715</td>\n",
" <td>34</td>\n",
" <td>-3.0</td>\n",
" <td>663284.858225</td>\n",
" <td>244641.693543</td>\n",
" <td>177.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>120</td>\n",
" <td>177</td>\n",
" <td>18</td>\n",
" <td>511103</td>\n",
" <td>120.003733</td>\n",
" <td>18</td>\n",
" <td>-3.0</td>\n",
" <td>663294.208786</td>\n",
" <td>244634.790313</td>\n",
" <td>177.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>627</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>516247</td>\n",
" <td>627.693369</td>\n",
" <td>0</td>\n",
" <td>0.0</td>\n",
" <td>663353.239398</td>\n",
" <td>245003.852686</td>\n",
" <td>180.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>619</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>516307</td>\n",
" <td>619.413420</td>\n",
" <td>0</td>\n",
" <td>0.0</td>\n",
" <td>663334.226960</td>\n",
" <td>244956.978949</td>\n",
" <td>180.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>25</th>\n",
- " <td>338</td>\n",
- " <td>192</td>\n",
- " <td>20</td>\n",
- " <td>516500</td>\n",
- " <td>174.279890</td>\n",
- " <td>0</td>\n",
- " <td>0.0</td>\n",
- " <td>663693.814381</td>\n",
- " <td>244779.570688</td>\n",
- " <td>180.0</td>\n",
- " </tr>\n",
- " <tr>\n",
" <th>23</th>\n",
" <td>374</td>\n",
" <td>309</td>\n",
" <td>20</td>\n",
" <td>516546</td>\n",
" <td>374.111055</td>\n",
" <td>20</td>\n",
" <td>129.0</td>\n",
" <td>663650.364956</td>\n",
" <td>244784.454870</td>\n",
" <td>309.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>375</td>\n",
" <td>129</td>\n",
" <td>20</td>\n",
" <td>516547</td>\n",
" <td>375.279997</td>\n",
" <td>20</td>\n",
" <td>-51.0</td>\n",
" <td>663659.229615</td>\n",
" <td>244777.179853</td>\n",
" <td>129.0</td>\n",
" </tr>\n",
" <tr>\n",
+ " <th>25</th>\n",
+ " <td>338</td>\n",
+ " <td>192</td>\n",
+ " <td>20</td>\n",
+ " <td>516793</td>\n",
+ " <td>320.595936</td>\n",
+ " <td>30</td>\n",
+ " <td>10.0</td>\n",
+ " <td>663692.393709</td>\n",
+ " <td>244785.185141</td>\n",
+ " <td>190.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
" <th>26</th>\n",
" <td>411</td>\n",
" <td>10</td>\n",
" <td>24</td>\n",
" <td>516794</td>\n",
" <td>410.999852</td>\n",
" <td>24</td>\n",
" <td>-170.0</td>\n",
" <td>663692.302467</td>\n",
" <td>244792.219806</td>\n",
" <td>10.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>70</td>\n",
" <td>172</td>\n",
" <td>39</td>\n",
" <td>516807</td>\n",
" <td>102.496594</td>\n",
" <td>43</td>\n",
" <td>-9.0</td>\n",
" <td>663503.351092</td>\n",
" <td>244888.187935</td>\n",
" <td>171.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>310</td>\n",
" <td>40</td>\n",
" <td>35</td>\n",
" <td>516827</td>\n",
" <td>310.651093</td>\n",
" <td>35</td>\n",
" <td>-140.0</td>\n",
" <td>663622.586483</td>\n",
" <td>244917.727724</td>\n",
" <td>40.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>386</td>\n",
" <td>220</td>\n",
" <td>36</td>\n",
" <td>516828</td>\n",
" <td>386.205375</td>\n",
" <td>36</td>\n",
" <td>40.0</td>\n",
" <td>663617.689604</td>\n",
" <td>244911.828416</td>\n",
" <td>220.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>310</td>\n",
" <td>220</td>\n",
" <td>35</td>\n",
" <td>516829</td>\n",
" <td>310.850458</td>\n",
" <td>36</td>\n",
" <td>40.0</td>\n",
" <td>663626.973875</td>\n",
" <td>244923.013707</td>\n",
" <td>220.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>383</td>\n",
" <td>40</td>\n",
" <td>35</td>\n",
" <td>516830</td>\n",
" <td>383.391319</td>\n",
" <td>35</td>\n",
" <td>-140.0</td>\n",
" <td>663631.894028</td>\n",
" <td>244928.939901</td>\n",
" <td>40.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>576</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>524274</td>\n",
" <td>576.782934</td>\n",
" <td>0</td>\n",
" <td>0.0</td>\n",
" <td>662132.956079</td>\n",
" <td>245367.576229</td>\n",
" <td>180.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>1287</td>\n",
" <td>315</td>\n",
" <td>7</td>\n",
" <td>524319</td>\n",
" <td>1287.753600</td>\n",
" <td>7</td>\n",
" <td>135.0</td>\n",
" <td>662367.600427</td>\n",
" <td>245339.301229</td>\n",
" <td>315.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>314</td>\n",
" <td>225</td>\n",
" <td>8</td>\n",
" <td>527252</td>\n",
" <td>314.060533</td>\n",
" <td>8</td>\n",
" <td>45.0</td>\n",
" <td>662756.273884</td>\n",
" <td>245735.151701</td>\n",
" <td>225.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>82</td>\n",
" <td>225</td>\n",
" <td>34</td>\n",
" <td>527255</td>\n",
" <td>82.286418</td>\n",
" <td>34</td>\n",
" <td>45.0</td>\n",
" <td>662760.018924</td>\n",
" <td>245738.934737</td>\n",
" <td>225.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>1883</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>531828</td>\n",
" <td>1882.508316</td>\n",
" <td>0</td>\n",
" <td>0.0</td>\n",
" <td>662600.851946</td>\n",
" <td>246013.701051</td>\n",
" <td>180.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Flaeche Ausrichtung Neigung DF_UID FLAECHE NEIGUNG AUSRICHTUNG \\\n",
"15 191 50 18 496867 191.034016 18 -130.0 \n",
"14 171 230 19 496868 171.580982 19 50.0 \n",
"12 186 320 29 496928 186.248368 29 140.0 \n",
"11 277 140 32 496929 279.796254 32 -40.0 \n",
"13 228 320 9 496930 232.033657 9 140.0 \n",
"8 56 160 11 506515 56.981732 11 -20.0 \n",
"6 290 160 12 506519 290.685770 12 -20.0 \n",
"7 286 340 13 506520 286.109724 13 160.0 \n",
"9 351 340 4 506526 351.877356 4 160.0 \n",
"10 117 340 6 506527 117.868736 6 160.0 \n",
"17 326 177 34 511102 326.101715 34 -3.0 \n",
"18 120 177 18 511103 120.003733 18 -3.0 \n",
"22 627 0 0 516247 627.693369 0 0.0 \n",
"16 619 0 0 516307 619.413420 0 0.0 \n",
- "25 338 192 20 516500 174.279890 0 0.0 \n",
"23 374 309 20 516546 374.111055 20 129.0 \n",
"24 375 129 20 516547 375.279997 20 -51.0 \n",
+ "25 338 192 20 516793 320.595936 30 10.0 \n",
"26 411 10 24 516794 410.999852 24 -170.0 \n",
"20 70 172 39 516807 102.496594 43 -9.0 \n",
"1 310 40 35 516827 310.651093 35 -140.0 \n",
"0 386 220 36 516828 386.205375 36 40.0 \n",
"2 310 220 35 516829 310.850458 36 40.0 \n",
"3 383 40 35 516830 383.391319 35 -140.0 \n",
"19 576 0 0 524274 576.782934 0 0.0 \n",
"21 1287 315 7 524319 1287.753600 7 135.0 \n",
"4 314 225 8 527252 314.060533 8 45.0 \n",
"5 82 225 34 527255 82.286418 34 45.0 \n",
"27 1883 0 0 531828 1882.508316 0 0.0 \n",
"\n",
" XCOORD YCOORD panel_direction \n",
"15 663448.775159 243551.629905 50.0 \n",
"14 663443.733721 243548.696613 230.0 \n",
"12 663466.797413 243560.904906 320.0 \n",
"11 663473.564138 243553.263365 140.0 \n",
"13 663460.459822 243568.632973 320.0 \n",
"8 664790.034283 244454.199114 160.0 \n",
"6 664805.495960 244442.719157 160.0 \n",
"7 664802.448615 244451.307892 340.0 \n",
"9 664797.099785 244466.373209 340.0 \n",
"10 664798.903452 244475.987975 340.0 \n",
"17 663284.858225 244641.693543 177.0 \n",
"18 663294.208786 244634.790313 177.0 \n",
"22 663353.239398 245003.852686 180.0 \n",
"16 663334.226960 244956.978949 180.0 \n",
- "25 663693.814381 244779.570688 180.0 \n",
"23 663650.364956 244784.454870 309.0 \n",
"24 663659.229615 244777.179853 129.0 \n",
+ "25 663692.393709 244785.185141 190.0 \n",
"26 663692.302467 244792.219806 10.0 \n",
"20 663503.351092 244888.187935 171.0 \n",
"1 663622.586483 244917.727724 40.0 \n",
"0 663617.689604 244911.828416 220.0 \n",
"2 663626.973875 244923.013707 220.0 \n",
"3 663631.894028 244928.939901 40.0 \n",
"19 662132.956079 245367.576229 180.0 \n",
"21 662367.600427 245339.301229 315.0 \n",
"4 662756.273884 245735.151701 225.0 \n",
"5 662760.018924 245738.934737 225.0 \n",
"27 662600.851946 246013.701051 180.0 "
]
},
- "execution_count": 50,
+ "execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"roof_info_compare = sample_roofs.merge(roofs, on = 'DF_UID').sort_values('DF_UID')\n",
"roof_info_compare"
]
},
{
"cell_type": "code",
- "execution_count": 51,
+ "execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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" }\n",
"\n",
" .dataframe thead th {\n",
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" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Flaeche</th>\n",
" <th>Ausrichtung</th>\n",
" <th>Neigung</th>\n",
" <th>DF_UID</th>\n",
" <th>FLAECHE</th>\n",
" <th>NEIGUNG</th>\n",
" <th>AUSRICHTUNG</th>\n",
" <th>XCOORD</th>\n",
" <th>YCOORD</th>\n",
" <th>panel_direction</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>277</td>\n",
" <td>140</td>\n",
" <td>32</td>\n",
" <td>496929</td>\n",
" <td>279.796254</td>\n",
" <td>32</td>\n",
" <td>-40.0</td>\n",
" <td>663473.564138</td>\n",
" <td>243553.263365</td>\n",
" <td>140.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>228</td>\n",
" <td>320</td>\n",
" <td>9</td>\n",
" <td>496930</td>\n",
" <td>232.033657</td>\n",
" <td>9</td>\n",
" <td>140.0</td>\n",
" <td>663460.459822</td>\n",
" <td>243568.632973</td>\n",
" <td>320.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>338</td>\n",
" <td>192</td>\n",
" <td>20</td>\n",
- " <td>516500</td>\n",
- " <td>174.279890</td>\n",
- " <td>0</td>\n",
- " <td>0.0</td>\n",
- " <td>663693.814381</td>\n",
- " <td>244779.570688</td>\n",
- " <td>180.0</td>\n",
+ " <td>516793</td>\n",
+ " <td>320.595936</td>\n",
+ " <td>30</td>\n",
+ " <td>10.0</td>\n",
+ " <td>663692.393709</td>\n",
+ " <td>244785.185141</td>\n",
+ " <td>190.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>70</td>\n",
" <td>172</td>\n",
" <td>39</td>\n",
" <td>516807</td>\n",
" <td>102.496594</td>\n",
" <td>43</td>\n",
" <td>-9.0</td>\n",
" <td>663503.351092</td>\n",
" <td>244888.187935</td>\n",
" <td>171.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Flaeche Ausrichtung Neigung DF_UID FLAECHE NEIGUNG AUSRICHTUNG \\\n",
"11 277 140 32 496929 279.796254 32 -40.0 \n",
"13 228 320 9 496930 232.033657 9 140.0 \n",
- "25 338 192 20 516500 174.279890 0 0.0 \n",
+ "25 338 192 20 516793 320.595936 30 10.0 \n",
"20 70 172 39 516807 102.496594 43 -9.0 \n",
"\n",
" XCOORD YCOORD panel_direction \n",
"11 663473.564138 243553.263365 140.0 \n",
"13 663460.459822 243568.632973 320.0 \n",
- "25 663693.814381 244779.570688 180.0 \n",
+ "25 663692.393709 244785.185141 190.0 \n",
"20 663503.351092 244888.187935 171.0 "
]
},
- "execution_count": 51,
+ "execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"roof_info_compare[abs(roof_info_compare.Flaeche - roof_info_compare.FLAECHE) > 1]"
]
},
{
"cell_type": "code",
- "execution_count": 52,
+ "execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
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"\n",
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" text-align: right;\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Flaeche</th>\n",
" <th>Ausrichtung</th>\n",
" <th>Neigung</th>\n",
" <th>DF_UID</th>\n",
" <th>FLAECHE</th>\n",
" <th>NEIGUNG</th>\n",
" <th>AUSRICHTUNG</th>\n",
" <th>XCOORD</th>\n",
" <th>YCOORD</th>\n",
" <th>panel_direction</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>338</td>\n",
" <td>192</td>\n",
" <td>20</td>\n",
- " <td>516500</td>\n",
- " <td>174.279890</td>\n",
- " <td>0</td>\n",
- " <td>0.0</td>\n",
- " <td>663693.814381</td>\n",
- " <td>244779.570688</td>\n",
- " <td>180.0</td>\n",
+ " <td>516793</td>\n",
+ " <td>320.595936</td>\n",
+ " <td>30</td>\n",
+ " <td>10.0</td>\n",
+ " <td>663692.393709</td>\n",
+ " <td>244785.185141</td>\n",
+ " <td>190.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>70</td>\n",
" <td>172</td>\n",
" <td>39</td>\n",
" <td>516807</td>\n",
" <td>102.496594</td>\n",
" <td>43</td>\n",
" <td>-9.0</td>\n",
" <td>663503.351092</td>\n",
" <td>244888.187935</td>\n",
" <td>171.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Flaeche Ausrichtung Neigung DF_UID FLAECHE NEIGUNG AUSRICHTUNG \\\n",
- "25 338 192 20 516500 174.279890 0 0.0 \n",
+ "25 338 192 20 516793 320.595936 30 10.0 \n",
"20 70 172 39 516807 102.496594 43 -9.0 \n",
"\n",
" XCOORD YCOORD panel_direction \n",
- "25 663693.814381 244779.570688 180.0 \n",
+ "25 663692.393709 244785.185141 190.0 \n",
"20 663503.351092 244888.187935 171.0 "
]
},
- "execution_count": 52,
+ "execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"roof_info_compare[abs(roof_info_compare.Neigung - roof_info_compare.NEIGUNG) > 1]"
]
},
{
"cell_type": "code",
- "execution_count": 53,
+ "execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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" .dataframe thead th {\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Flaeche</th>\n",
" <th>Ausrichtung</th>\n",
" <th>Neigung</th>\n",
" <th>DF_UID</th>\n",
" <th>FLAECHE</th>\n",
" <th>NEIGUNG</th>\n",
" <th>AUSRICHTUNG</th>\n",
" <th>XCOORD</th>\n",
" <th>YCOORD</th>\n",
" <th>panel_direction</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>627</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>516247</td>\n",
" <td>627.693369</td>\n",
" <td>0</td>\n",
" <td>0.0</td>\n",
" <td>663353.239398</td>\n",
" <td>245003.852686</td>\n",
" <td>180.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>619</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>516307</td>\n",
" <td>619.413420</td>\n",
" <td>0</td>\n",
" <td>0.0</td>\n",
" <td>663334.226960</td>\n",
" <td>244956.978949</td>\n",
" <td>180.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>338</td>\n",
" <td>192</td>\n",
" <td>20</td>\n",
- " <td>516500</td>\n",
- " <td>174.279890</td>\n",
- " <td>0</td>\n",
- " <td>0.0</td>\n",
- " <td>663693.814381</td>\n",
- " <td>244779.570688</td>\n",
- " <td>180.0</td>\n",
+ " <td>516793</td>\n",
+ " <td>320.595936</td>\n",
+ " <td>30</td>\n",
+ " <td>10.0</td>\n",
+ " <td>663692.393709</td>\n",
+ " <td>244785.185141</td>\n",
+ " <td>190.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>576</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>524274</td>\n",
" <td>576.782934</td>\n",
" <td>0</td>\n",
" <td>0.0</td>\n",
" <td>662132.956079</td>\n",
" <td>245367.576229</td>\n",
" <td>180.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>1883</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>531828</td>\n",
" <td>1882.508316</td>\n",
" <td>0</td>\n",
" <td>0.0</td>\n",
" <td>662600.851946</td>\n",
" <td>246013.701051</td>\n",
" <td>180.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Flaeche Ausrichtung Neigung DF_UID FLAECHE NEIGUNG AUSRICHTUNG \\\n",
"22 627 0 0 516247 627.693369 0 0.0 \n",
"16 619 0 0 516307 619.413420 0 0.0 \n",
- "25 338 192 20 516500 174.279890 0 0.0 \n",
+ "25 338 192 20 516793 320.595936 30 10.0 \n",
"19 576 0 0 524274 576.782934 0 0.0 \n",
"27 1883 0 0 531828 1882.508316 0 0.0 \n",
"\n",
" XCOORD YCOORD panel_direction \n",
"22 663353.239398 245003.852686 180.0 \n",
"16 663334.226960 244956.978949 180.0 \n",
- "25 663693.814381 244779.570688 180.0 \n",
+ "25 663692.393709 244785.185141 190.0 \n",
"19 662132.956079 245367.576229 180.0 \n",
"27 662600.851946 246013.701051 180.0 "
]
},
- "execution_count": 53,
+ "execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"roof_info_compare[abs(roof_info_compare.Ausrichtung - roof_info_compare.panel_direction) > 1]"
]
},
{
"cell_type": "code",
- "execution_count": 54,
+ "execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"roof_info_compare.to_csv('sample_roofs_compare.csv')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.6.7"
}
},
"nbformat": 4,
"nbformat_minor": 4
}

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