{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "tobac example: Tracking isolated convection based on updraft velocity and total condensate\n", "==" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This example notebook demonstrates the use of tobac to track isolated deep convective clouds in cloud-resolving model simulation output based on vertical velocity and total condensate mixing ratio.\n", "\n", "The simulation results used in this example were performed as part of the ACPC deep convection intercomparison case study (http://acpcinitiative.org/Docs/ACPC_DCC_Roadmap_171019.pdf) with WRF using the Morrison microphysics scheme. \n", "\n", "The data used in this example is downloaded from \"zenodo link\" automatically as part of the notebooks (This only has to be done once for all the tobac example notebooks)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Import libraries:**" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "execution": { "iopub.execute_input": "2026-02-02T20:19:16.014189Z", "iopub.status.busy": "2026-02-02T20:19:16.013655Z", "iopub.status.idle": "2026-02-02T20:19:16.866252Z", "shell.execute_reply": "2026-02-02T20:19:16.865799Z" } }, "outputs": [], "source": [ "# Import a range of python libraries used in this notebook:\n", "import datetime\n", "import shutil\n", "from pathlib import Path\n", "from six.moves import urllib\n", "\n", "import numpy as np\n", "import pandas as pd\n", "import xarray as xr\n", "\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "execution": { "iopub.execute_input": "2026-02-02T20:19:16.867863Z", "iopub.status.busy": "2026-02-02T20:19:16.867694Z", "iopub.status.idle": "2026-02-02T20:19:18.234348Z", "shell.execute_reply": "2026-02-02T20:19:18.233948Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "using tobac version 1.6.2\n" ] } ], "source": [ "# Import tobac itself:\n", "import tobac\n", "print('using tobac version', str(tobac.__version__))" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "execution": { "iopub.execute_input": "2026-02-02T20:19:18.253049Z", "iopub.status.busy": "2026-02-02T20:19:18.252824Z", "iopub.status.idle": "2026-02-02T20:19:18.254974Z", "shell.execute_reply": "2026-02-02T20:19:18.254611Z" } }, "outputs": [], "source": [ "#Disable a couple of warnings:\n", "import warnings\n", "warnings.filterwarnings('ignore', category=UserWarning, append=True)\n", "warnings.filterwarnings('ignore', category=RuntimeWarning, append=True)\n", "warnings.filterwarnings('ignore', category=FutureWarning, append=True)\n", "warnings.filterwarnings('ignore',category=pd.io.pytables.PerformanceWarning)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Download and load example data:** \n", "The actual dowloading is only necessary once for all example notebooks." ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "execution": { "iopub.execute_input": "2026-02-02T20:19:18.256445Z", "iopub.status.busy": "2026-02-02T20:19:18.256343Z", "iopub.status.idle": "2026-02-02T20:19:18.257894Z", "shell.execute_reply": "2026-02-02T20:19:18.257539Z" } }, "outputs": [], "source": [ "data_out=Path('../')" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "execution": { "iopub.execute_input": "2026-02-02T20:19:18.259080Z", "iopub.status.busy": "2026-02-02T20:19:18.258994Z", "iopub.status.idle": "2026-02-02T20:19:18.262402Z", "shell.execute_reply": "2026-02-02T20:19:18.261948Z" } }, "outputs": [], "source": [ "# Download the data: This only has to be done once for all tobac examples and can take a while\n", "data_file = list(data_out.rglob('data/Example_input_midlevelUpdraft.nc'))\n", "if len(data_file) == 0:\n", " file_path='https://zenodo.org/records/3195910/files/climate-processes/tobac_example_data-v1.0.1.zip'\n", " #file_path='http://zenodo..'\n", " tempfile=Path('temp.zip')\n", " print('start downloading data')\n", " request=urllib.request.urlretrieve(file_path, tempfile)\n", " print('start extracting data')\n", " shutil.unpack_archive(tempfile, data_out)\n", " tempfile.unlink()\n", " print('data extracted')\n", " data_file = list(data_out.rglob('data/Example_input_midlevelUpdraft.nc'))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Load Data from downloaded file:**" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "execution": { "iopub.execute_input": "2026-02-02T20:19:18.263695Z", "iopub.status.busy": "2026-02-02T20:19:18.263610Z", "iopub.status.idle": "2026-02-02T20:19:18.266870Z", "shell.execute_reply": "2026-02-02T20:19:18.266442Z" } }, "outputs": [], "source": [ "data_file_W_mid_max = list(data_out.rglob('data/Example_input_midlevelUpdraft.nc'))[0]\n", "data_file_TWC = list(data_out.rglob('data/Example_input_Condensate.nc'))[0]" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "execution": { "iopub.execute_input": "2026-02-02T20:19:18.267999Z", "iopub.status.busy": "2026-02-02T20:19:18.267922Z", "iopub.status.idle": "2026-02-02T20:19:18.923143Z", "shell.execute_reply": "2026-02-02T20:19:18.922516Z" } }, "outputs": [], "source": [ "W_mid_max = xr.open_dataset(data_file_W_mid_max).w" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "execution": { "iopub.execute_input": "2026-02-02T20:19:18.925032Z", "iopub.status.busy": "2026-02-02T20:19:18.924817Z", "iopub.status.idle": "2026-02-02T20:19:18.934605Z", "shell.execute_reply": "2026-02-02T20:19:18.934065Z" } }, "outputs": [], "source": [ "TWC = xr.open_dataset(data_file_TWC).twc" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "execution": { "iopub.execute_input": "2026-02-02T20:19:18.936234Z", "iopub.status.busy": "2026-02-02T20:19:18.936129Z", "iopub.status.idle": "2026-02-02T20:19:18.949671Z", "shell.execute_reply": "2026-02-02T20:19:18.949260Z" } }, "outputs": [ { "data": { 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       "  * time                (time) datetime64[ns] 376B 2013-06-19T20:05:00 ... 20...\n",
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       "    long_name:     w\n",
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" ], "text/plain": [ " Size: 7MB\n", "[1842588 values with dtype=float32]\n", "Coordinates:\n", " * time (time) datetime64[ns] 376B 2013-06-19T20:05:00 ... 20...\n", " * south_north (south_north) int64 2kB 281 282 283 284 ... 476 477 478\n", " * west_east (west_east) int64 2kB 281 282 283 284 ... 476 477 478\n", " bottom_top_stag int64 8B ...\n", " latitude (south_north, west_east) float32 157kB ...\n", " longitude (south_north, west_east) float32 157kB ...\n", " model_level_number int64 8B ...\n", " x (west_east) float64 2kB ...\n", " y (south_north) float64 2kB ...\n", " x_0 (west_east) int64 2kB ...\n", " y_0 (south_north) int64 2kB ...\n", "Attributes:\n", " long_name: w\n", " units: m s-1\n", " cell_methods: model_level_number: maximum" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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<xarray.DataArray 'twc' (time: 47, bottom_top: 94, south_north: 198,\n",
       "                         west_east: 198)> Size: 693MB\n",
       "[173203272 values with dtype=float32]\n",
       "Coordinates:\n",
       "  * time                (time) datetime64[ns] 376B 2013-06-19T20:05:00 ... 20...\n",
       "  * bottom_top          (bottom_top) int64 752B 0 1 2 3 4 5 ... 89 90 91 92 93\n",
       "  * south_north         (south_north) int64 2kB 281 282 283 284 ... 476 477 478\n",
       "  * west_east           (west_east) int64 2kB 281 282 283 284 ... 476 477 478\n",
       "    latitude            (south_north, west_east) float32 157kB ...\n",
       "    longitude           (south_north, west_east) float32 157kB ...\n",
       "    model_level_number  (bottom_top) int64 752B ...\n",
       "    x                   (west_east) float64 2kB ...\n",
       "    y                   (south_north) float64 2kB ...\n",
       "    x_0                 (west_east) int64 2kB ...\n",
       "    y_0                 (south_north) int64 2kB ...\n",
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" ], "text/plain": [ " Size: 693MB\n", "[173203272 values with dtype=float32]\n", "Coordinates:\n", " * time (time) datetime64[ns] 376B 2013-06-19T20:05:00 ... 20...\n", " * bottom_top (bottom_top) int64 752B 0 1 2 3 4 5 ... 89 90 91 92 93\n", " * south_north (south_north) int64 2kB 281 282 283 284 ... 476 477 478\n", " * west_east (west_east) int64 2kB 281 282 283 284 ... 476 477 478\n", " latitude (south_north, west_east) float32 157kB ...\n", " longitude (south_north, west_east) float32 157kB ...\n", " model_level_number (bottom_top) int64 752B ...\n", " x (west_east) float64 2kB ...\n", " y (south_north) float64 2kB ...\n", " x_0 (west_east) int64 2kB ...\n", " y_0 (south_north) int64 2kB ...\n", "Attributes:\n", " long_name: TWC\n", " units: kg kg-1" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Display information about the two dataarrays for vertical velocity and total condensate mixing ratio:\n", "display(W_mid_max)\n", "display(TWC)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Data visualisation**\n", "\n", "We can take a look at our data both by plotting an individual time step, and by plotting a histogram of the values as shown below:\n" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "execution": { "iopub.execute_input": "2026-02-02T20:19:18.950845Z", "iopub.status.busy": "2026-02-02T20:19:18.950760Z", "iopub.status.idle": "2026-02-02T20:19:19.333334Z", "shell.execute_reply": "2026-02-02T20:19:19.332906Z" } }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(10,4))\n", "\n", "ax1 = plt.subplot(1,2,1)\n", "W_mid_max[42].plot(ax=ax1)\n", "\n", "ax2 = plt.subplot(1,2,2)\n", "W_mid_max.plot(ax=ax2, bins=100)\n", "plt.yscale(\"log\")\n", "\n", "plt.subplots_adjust(wspace=0.35)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "execution": { "iopub.execute_input": "2026-02-02T20:19:19.334743Z", "iopub.status.busy": "2026-02-02T20:19:19.334649Z", "iopub.status.idle": "2026-02-02T20:19:19.336558Z", "shell.execute_reply": "2026-02-02T20:19:19.336241Z" } }, "outputs": [], "source": [ "#Set up directory to save output and plots:\n", "savedir=Path(\"Save\")\n", "if not savedir.is_dir():\n", " savedir.mkdir()\n", "plot_dir=Path(\"Plot\")\n", "if not plot_dir.is_dir():\n", " plot_dir.mkdir()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Feature detection:**\n", "\n", "Perform feature detection based on midlevel maximum vertical velocity and a range of threshold values." ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "execution": { "iopub.execute_input": "2026-02-02T20:19:19.337841Z", "iopub.status.busy": "2026-02-02T20:19:19.337744Z", "iopub.status.idle": "2026-02-02T20:19:19.364514Z", "shell.execute_reply": "2026-02-02T20:19:19.364087Z" } }, "outputs": [], "source": [ "# Determine temporal and spatial sampling of the input data:\n", "dxy,dt=tobac.get_spacings(W_mid_max)" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "execution": { "iopub.execute_input": "2026-02-02T20:19:19.365844Z", "iopub.status.busy": "2026-02-02T20:19:19.365752Z", "iopub.status.idle": "2026-02-02T20:19:19.367777Z", "shell.execute_reply": "2026-02-02T20:19:19.367363Z" } }, "outputs": [], "source": [ "# Keyword arguments for feature detection step:\n", "parameters_features={}\n", "parameters_features['position_threshold']='weighted_diff'\n", "parameters_features['sigma_threshold']=0.5\n", "parameters_features['min_distance']=0\n", "parameters_features['sigma_threshold']=1\n", "parameters_features['threshold']=[3,5,10] #m/s\n", "parameters_features['n_erosion_threshold']=0\n", "parameters_features['n_min_threshold']=3" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "execution": { "iopub.execute_input": "2026-02-02T20:19:19.368913Z", "iopub.status.busy": "2026-02-02T20:19:19.368834Z", "iopub.status.idle": "2026-02-02T20:19:19.876952Z", "shell.execute_reply": "2026-02-02T20:19:19.876528Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "start feature detection based on midlevel column maximum vertical velocity\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "feature detection performed start saving features\n", "features saved\n" ] } ], "source": [ "# Perform feature detection and save results:\n", "print('start feature detection based on midlevel column maximum vertical velocity')\n", "dxy,dt=tobac.get_spacings(W_mid_max)\n", "Features=tobac.feature_detection_multithreshold(W_mid_max,dxy,**parameters_features)\n", "print('feature detection performed start saving features')\n", "Features.to_hdf(savedir / 'Features.h5', 'table')\n", "print('features saved')\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can also compare the detected features to the input field to judge whether feature detection has done a good job. Below, we can see that the use of multiple thresholds has allowed the most prominent features (green) to be detected, as well as less prominent features surrounding them which may represent earlier stages of convective storms" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "execution": { "iopub.execute_input": "2026-02-02T20:19:19.878363Z", "iopub.status.busy": "2026-02-02T20:19:19.878206Z", "iopub.status.idle": "2026-02-02T20:19:20.039711Z", "shell.execute_reply": "2026-02-02T20:19:20.039237Z" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "frame=42\n", "W_mid_max[frame].plot()\n", "points = {\n", " threshold:plt.plot(ft.west_east, ft.south_north, \"o\")[0]\n", " for threshold, ft in Features[Features.frame==frame].groupby(\"threshold_value\")\n", "}\n", "plt.legend(list(points.values()), list(points.keys()), title=\"W [m s-1]\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Segmentation:** \n", "Perform segmentation based on 3D total condensate field to determine cloud volumes associated to identified features:" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "execution": { "iopub.execute_input": "2026-02-02T20:19:20.041176Z", "iopub.status.busy": "2026-02-02T20:19:20.041076Z", "iopub.status.idle": "2026-02-02T20:19:20.042879Z", "shell.execute_reply": "2026-02-02T20:19:20.042493Z" } }, "outputs": [], "source": [ "parameters_segmentation_TWC={}\n", "parameters_segmentation_TWC['method']='watershed'\n", "parameters_segmentation_TWC['threshold']=0.1e-3 # kg/kg mixing ratio" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "execution": { "iopub.execute_input": "2026-02-02T20:19:20.044213Z", "iopub.status.busy": "2026-02-02T20:19:20.044115Z", "iopub.status.idle": "2026-02-02T20:19:48.058118Z", "shell.execute_reply": "2026-02-02T20:19:48.057621Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Start segmentation based on total water content\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "segmentation TWC performed, start saving results to files\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "segmentation TWC performed and saved\n" ] } ], "source": [ "print('Start segmentation based on total water content')\n", "Mask_TWC, Features_TWC = tobac.segmentation_3D(Features, TWC, dxy, **parameters_segmentation_TWC)\n", "print('segmentation TWC performed, start saving results to files')\n", "Mask_TWC.to_netcdf(savedir / 'Mask_Segmentation_TWC.nc', encoding={\"segmentation_mask\":{\"zlib\":True, \"complevel\":4}})\n", "Features_TWC.to_hdf(savedir / 'Features_TWC.h5','table')\n", "print('segmentation TWC performed and saved')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Trajectory linking:** \n", "Detected features are linked into cloud trajectories using the trackpy library (http://soft-matter.github.io/trackpy). This takes the feature positions determined in the feature detection step into account but does not include information on the shape of the identified objects." ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "execution": { "iopub.execute_input": "2026-02-02T20:19:48.059529Z", "iopub.status.busy": "2026-02-02T20:19:48.059413Z", "iopub.status.idle": "2026-02-02T20:19:48.061488Z", "shell.execute_reply": "2026-02-02T20:19:48.061044Z" } }, "outputs": [], "source": [ "# Keyword arguments for linking step:\n", "parameters_linking={}\n", "parameters_linking['method_linking']='predict'\n", "parameters_linking['adaptive_stop']=0.2\n", "parameters_linking['adaptive_step']=0.95\n", "parameters_linking['extrapolate']=0\n", "parameters_linking['order']=1\n", "parameters_linking['subnetwork_size']=100\n", "parameters_linking['memory']=0\n", "parameters_linking['time_cell_min']=5*60\n", "parameters_linking['method_linking']='predict'\n", "parameters_linking['v_max']=10\n" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "execution": { "iopub.execute_input": "2026-02-02T20:19:48.062594Z", "iopub.status.busy": "2026-02-02T20:19:48.062503Z", "iopub.status.idle": "2026-02-02T20:19:48.195312Z", "shell.execute_reply": "2026-02-02T20:19:48.194841Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Frame 46: 18 trajectories present.\n" ] } ], "source": [ "# Perform linking and save results:\n", "Track=tobac.linking_trackpy(Features,W_mid_max,dt=dt,dxy=dxy,**parameters_linking)\n", "Track.to_hdf(savedir / 'Track.h5', 'table')\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Visualisation:** " ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "execution": { "iopub.execute_input": "2026-02-02T20:19:48.196673Z", "iopub.status.busy": "2026-02-02T20:19:48.196594Z", "iopub.status.idle": "2026-02-02T20:19:48.198415Z", "shell.execute_reply": "2026-02-02T20:19:48.197945Z" } }, "outputs": [], "source": [ "# Set extent for maps plotted in the following cells ( in the form [lon_min,lon_max,lat_min,lat_max])\n", "axis_extent=[-95,-93.8,29.5,30.6] " ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "execution": { "iopub.execute_input": "2026-02-02T20:19:48.199689Z", "iopub.status.busy": "2026-02-02T20:19:48.199618Z", "iopub.status.idle": "2026-02-02T20:19:58.916783Z", "shell.execute_reply": "2026-02-02T20:19:58.916220Z" } }, "outputs": [ { "data": { "image/png": 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tLvqjVMjFnM3nrxiInY9Pxcc3jcCVwyLEnE7psdcmF0Gr4kcxOpefSokvBsbBT6XAvpp63JOcBauTRuUZ0qvEqTbJF2FPjkH4c+MR9tQY+F3bR/RuStcrPirCRYHjxe2WpC5xyn5S18S/cORUxvxaFL+xDzXrcux1v6Xx/ycKLFDXJ1WeLc2pFdtXPjocfcaGnXMbjUbDHk3qlkxWG55KyxPbt4QHIkGndfYuUSdZdbAA6aV1CPXW4ru7xmJIlG+7H1MqEjQpKQgvLxiEXU9Mxft/Gi56NVlNm84nVqfBR/1joZbJsLKkCs8eL3DKwTJk2MOmJs5bnMqkHk43JXQDAhC0eBAUflpYyhswbf8Qcf0PaT+g3lTvlH2lrofDaMlparflo3JFugiXcnclfOYmQDfAPvySugdjg1mcKjUKBER4OHt3iBzqQE296M30VylF0Q5yHQuGR0KjUiDcRws/d8dP7ZB6SKf25WuKLmyUjwde6xMlhvO/mVOMmYHeGO7t3qkjmBrDZqw9bJ5OFeKOoLsHo+zzZAzO6IVw/yDkoRgr01diQdKCTttP6roYNsl5Lz4/NxE0tX394TsvAQpPztXsbowN9rUz1RrON6KeZ5i3OzaO6oPMegO8VXy7dDVzBp07UoPIGa4I9kW23v53qDODpkSaj2kzWCDTKKAKa/pLZYW7CoG39EfliuOYnzIV2epCJO0JhC3OChmHibs8vnuS02gTfRG4eBDUkZ4cRtRNmU70bKrd+KeEeiZpnTupERE50/0xIU6ppqo/WCq2NTFeYvjs+UjLoPjO64Wrt94gQieKgZLyA/C/vi8UXvwb6so4Z5OcShPlxaDZA3o2VezZJCIi6jGkdTXLP09GzfoccV7b269F9/MYE4aAm/tD5qYUqwwUv74XxtyaDt5b6soYNomozUwnh9FqOYyWiIiou5N6M+v3FqPo1d3QS0uayWXwvDgK7qNCW/wY2gRfBN89GMogN7FkSsk7B1C/v6RD95u6Lo59I6IWy0upQM7Rcrh7a0QrybF/W6nS8k8JkSvZ/+vPMNTXIzAqBgFRMfDw8+coFaKewGpD9focWOvNUIW6w3dBItTnmavZHGWAG4IWD0b5V0fRkFIhTuUeKmjjfTpkt6nr4idEImqx3NQK7F6Vdc7lHEZL5Fr2//IzSrIzG8/3GT8JM+/5i1P3iai9bFYrzEVFUPj7Q652zXmGMoUcfgsSRUD0nBQhzreVXKuE/w39ULU6E5bKhsalU8i1MGwSUYsFx3hhwMRw1FUbUVdpQH2VESajBfFDuGQNkSvpPX4SfDOOozQ7ExUFefAObvkQO6KuxlxSgsrvl6Py229hyskBZDIoQ0KgjoqCOioSKuk0Mgrq6Cio4+PR06kjPEVzBKmokM/MWLGECteUdU0Mm0TUYjEDAkQjorYzmyyoKWtAdanU9KL5R3ig9+juE9hGXn5l47bZZILFZHLq/hC1pRezbstWVC5ZgprffwfM9urqUtCEzQZzQYFo9du3n3G/uBU/8mC3QXOVbKlnY9gkIiLqQGX5tdi3NgdVxfUiYEqjAs4mjQ7oTmHzdEqVSjSi7sKYm4ecW26BMevUtBC3QYPgs3AhvC69BFa9HsbsbJiys2HMzjm1nZsLVWSkU/edqLth2CQiIupAm789hpzkinPmOXsFuMErQCtOg2O9+Dsg6iT127eJoCnX6eB9xRXwWbAA2qTExuuly5X+/sCQIfydELUTwyYREVEHMTaYkZdaKbYnXpOEwEhPETC1HirOXyLqRPW7d8Oqb4AqOAiWansldd2YMQh54nH+Hog6EMMmNclqNSI75yPo3GIQGDidH4qIiNog92gFrBYbvALd0G9CGP+WEjlJ6ZtvoW7z5jMu4zxCoo7HsElNqqk5hOPHXxLbXp4DkZDwKHx9R/NoERG1QtbBUnEa05/rUBI5kyoyAprERLG0iaWqSlym7dePvxSiDsawSU1yd0+CXK6F1dqA6poD2LP3Wvj7T0R8/CPw9OjNo0YuSVrmRSru4umrhULV9rXHyDXYbDZkHSoT29H9/Z29O0QuLfTppxu3rQ0NsNbWQhnA6upEHY1hk5p+YSjdERBwMYqLV0Kl8oPZXI2ysj9QVrYBI4Z/Dy+vATxy5BKktcEMejMaak04vrcY25ann3ObeX8ZirAEH6fsH3VNVosVhzfmo67KCKVajrBEvj6Iugq5VisaEXU8hk06r5Dg2SJsyuVqjB61GsfT/w2DoQienv151KhHOrarCKk7ikSwbKizN0OdSVpyrVl71mQxbFIjs9GC5a/uRVFGtTifMDwYSpWCR4iIiFwOwyadl7//RVAqPWEwFMJgKMaA/v+DxWJggQvqsapL9cg8YJ9jdzaVVgE3DxW07ioRPqVAYTJYxLIV4xf06vR9pdZbm7UWWdVZCHALQKBbIAJ0AfDR+MBsNcNoMcJoNcJkMYlT6bxcJsfAwIHQKDStep7dq7NE0FS7KTF8ZgwGTArnr4uIiFwSwyadl1yuQWDgDBQUfIei4p/g6zsKilZ+6CLqTqL6+osw2dikcHkiYCqUnKPZ3f2c8TN+zfq1VfeJ8ozCk2OexKjQUS26fUVhnejplky5vjfihwa1aV+JiIh6AoZNalZw8GwRNouLVyGx15OQy1U8YtRjBUZ5ikY90+jQ0XBTuqGkvgQl+hKU6ktRbayGSq6CWq6GSqGCWqEW29Jpmb4M2TXZuPWXWzEnfg7+Mvwv8NX6NlsQaP0XKWKpE6kgUNyQwE79+YiIiLoahk1qlq/PaKhU/jCZylBesRkB/pN4xIioW1qYtFC0lqox1uC/e/6Lb1K+wY/Hf8SG3A14ZMQjmBU3q8npBNLQ2fy0SihVclx0VSKnHBARkctj2KRmyeVKBAfNRG7eZygq+olhk4iczpCegYbDh6QV2SFTyMUpFHLI5HLohg2DwscxlV891Z54fPTjmBU/C09veRpplWl4bNNjqDRU4vq+159z+5A4b8x/ZBiqiurFXF4iIiJXx7BJFxQcPEuEzZKSX2GxNEChYLlwInKeui1bUPTss01eF/3ll9ANHeLQ5xsUOAhLZi/BJ4c/wdLUpbg84fLz3jYk1ls0IiIiYtikFvD2HgqNJhQGQ4FYazMoaAaPGxE5jSo0BO5jx8JmtQIWi/3UaoXNaoHcw71jnlOuwq0DbsUNfW8QczsdzVRSD5vJCnWYh8Mfm4iIyFnYs0kXZLHUQan0gMEAVFbuYNgkIqfyvPhi0ZyhI4Km/kgZyr5MhtLfDcH3DIGMlY+JiKiHYC1/apbFUo99+29FXd0xKJU+CAu/ikeMiMiB1NFekGsUMBfVo2ZDLo8tERH1GAybdF7S/Mz9B25HVdUuKJWeGDL4Y3i4c/F6IiJHUrir4DMrXmxX/54thtQSERH1BAyb1CSr1YCDB+9CRcVWKBTuGDzoI3h5DeDRIiLqAG6DA6FJ9AXMNlR+nybW7CQiIuruGDbpHFarCQcP3Yuy8g2Qy90waNAH8PZ2bHVHIiI6RVq303duAmQqOQzpVajfXcTDQ0RE3R7DJp3BajXj8OEHUFq6FnK5BoMGvgtfnxE8SkREHUzpp4XXtGixXbkyA5YaI485ERF1awybdBb70C2ZTI2BA96Cn99YHiEiok7iMS4cqlB32PRmVP6UzuNORETdGsMmnfmCkKvQr99rGDbsa/j7T+TRISLqRDKFDL7zewEyQH+wBKZSPY+/C5Pm7lZVVcFoZC83EXVPXGeTziGXK+HtNYhHhojICdQRnvCZEy+WRFEFuPF34GLhsry8HJmZmcjKyhKn1dXVUCgUiI2NRVJSkmheXl7O3lVyQXp9DmQyJbTaUGfvCnUjDJtERERdjMeYMGfvAjlBeno6Pvvss3Mut1gsSEtLE23lypUIDQ1tDJ4hISGiwBRRR8vIfB0FBd9BowmBj88IxMXeB50ulgeemsWwSURERNQFREREQKVSiTAZExMjmnRZZWUlUlJSRMvNzUVBQYFo69evR9++fbFw4UJn7zq5ALO5VszAMxgKUVS0AuXlWzB06Bdcg52axbBJLseYWwN9cjm8T1R9JCIi6go0Gg0effRRKJVnfjwLCgoSbcKECaitrcWxY8dE8Dx+/DgiIyOdtr/kWgYOeANmcx2qaw7g2LF/orb2CPbsuRZDh3wOD49EZ+8edVEMm+QyjDk1qP4tGw1Hy8V5bS8faGK8nb1bREREjc4Ommfz8PDAkCFDRDOZTLBarTx61GmUSnf4+Y7B0CGfYu/eG1BTexh79p4MnEnn3N5qNcBmAxQKDX9LLophk3o8m9mK0k+PwJBaYb9ABugGB0HhqXb2rhEREbWZNOSWyBlUKl8MkQLnvj+hpkYKnNehb5+XYDbXoK7uGOrq01BXlwa9Pgt9er+I0NB5/EW5KIZN6vkUMhTWF8ALamgH+8NvajwrPBIREXUjNqsNNoMFMo0CMjkLInUFKpUPhgyWAucNqKk5hP0Hbm3ydvX6jE7fN+o6GDapR6s31ePv2/6OfeqdsMZbcU3/G3BjQH9n7xYREZHLsBotMKRXiXVkRVMpIHdXiZFH1noTrHVm+2m9CZZ6M6x10vaJy05u602AFZB7qeExJhTuI0OhcGfPblcJnAcO3iV6NN118XB3TzjRekHnHg+NOtjZu0lOxLBJPVZ6ZToeXPcgakorUKatwv1D78cN/W5w9m4RERG5FEuVAWUfH3bIY1mrjahek4Xq33LgPjQIHuPDoQrSOeSxqW1UKm8MG/olDx81iWGTegRzmR51e4oh1ymh9NHiQOYeHD9wBE/X3YwAsy9KbtViSMIIZ+8mERGRy5GGvaoiPACLDTaLVQyHtdSZIFNKPZxKyHUqKHT2U6nHU964feJUut5dKYbQ6g+XoXZTHkz5dajbUSiaJtEXnuPDoenlwzVHiboYhk06R2pFKvy0fqLJZfJucYTKv02FMbO68Xw4tAjHUPsZOdDHEu+8nSMiInJhSn83BP95iEMey31oMHRDgmDMqEbN5jw0HCkTBQClpgxyg8fYMOiGBEOuUTjk+YiofRg26QwWqwULVyyExWaBQqbAuoXr4Kv17dJHyZBVbQ+aCmC/Txrc6lTQyw04pDsGa6Qaj857CnL1uW86RqMRajUr0hIREXUnMpkMmjhv0aSRTbVb8lG3swjmYj0qlx9H1apMuA8LhvuYUKgCOcSWyJkYNukMNcYa+Gh8UN5QDhlk8NZ0/XUoa/7IFaerPTbjP0FfNF4u9cze1O8myFTn9s7u378fa9aswY033igWyu5ohYWF+Prrr+Hl5QVvb2/RpG3pucPCwhh6iYiI2thr6jM7Hl7TolG3uwh1WwtgLrUHUKlJQ2ylgkLaJD9WsSVyAoZNOoOP1gfrF62H2WpGpaGyyw+jNRbVof5IKeSQYan/2sbLHx7+MBYkLYCb0u2M20sLYK9atQp79uwR53fs2IFZs2Z1+H5WVlY2trPJ5XKEhIQgIiICkZGRoklhVPrmloiIiC5MrlXCc1w4PMaEwZBWKYJmQ0p54xBbhZ8WHqNCoQp1F9NrIJPZ32elbfmJbdmJbbkMCi+1mCtKRO3DsElNvzDkSgS4BXT5o5P5637oIMMWj/3I1RThwWEP4ureV0Or1J5z2/LycixZskT0MkomTpwoWmeIiYnBzTffjOrqalRVVTW2/Px81NTUiFOpSeFX4unpKe4zffp0sX0hNptN9NTm5ubioosuQmJiYif8VERERF2LFBS1ib6iiSG22wvEEFtLeQOqVrVivUeFDL5zE+A+IqQjd5eox2PYpBYpqm5AekkdhkT5QKvqGpPupUp2umSr2M4fUIdds3ZBo9Ccczur1YojR45gxYoVMBgM0Ol0uOKKK5CQkNBp+6rVahEVFdVkSJRCpxQSc3JyRCsoKBAB9ODBgygpKcFNN90Ejebcn+t0O3fuxLZt28T2l19+KX62Sy65BAEBXf8LA+p4erP+nF5+IiKXGGI7Mw5eU6Oh318iqtbbGsywWW3SG7BYt1N6H4Y4L31gsNnPW2xibc+KpcdgKtXDe0YMh+AStRHDJp1XekktfjlShDWHC7E32z78My7QHf9eOBiDI32cfuQslQbxhiCVQr//8kfPuK6hoQFpaWlITU0Vp/X19eJyaYjqlVdeKYapdgXSsB0fHx/R+vfv31i4SAqdS5cuFb2w0ulVV1113sfIy8vD6tWrxXZ8fDwyMjLEz/zmm29i1KhRovdWCrvUsxktRuTU5CCzOhOZVZniNKs6S2zrVDqsnm9/jRARuRqpSKDUQ9nSXkopjFavzULN7zmo/SNXzAH1W5TUZLFBImoewyadoarehPc2pouAeay49ozr3NUK0bs5/60tuHNiHGYNDBPhU6N0zh9fhbe9kqxMIRNvDGXlZSJcSi07O1v0aJ4kha3hw4dj8uTJUCi69puFVCFXCo1XX301PvnkE/HzSPNMpW9bz57Hqdfr8e2334qftXfv3li0aBHKysrEkNpjx45h69atOLB/Py6eOhWDBw8W80PPJ2PfboQkJMLN48LDdl2S9G13ZRbgEy3m+pyjtgQoOwZEj+3Q3bDarNhfsh+p5an2YHkiXObX5YvrmlJlrBJhVK1g9WUiopYMxfWeHgNloA4V36Wi4XAZSt45gIAb+kLurrb3gp5gqTXae0il3lGrzb42qIYfr4lO4v8GOoNKKRNh02C2QimXYUy8P6b3C8H0vsHQKOV48ofD+HF/Pt5Yd1w0hVyGaH8dEoM8kRjsgUv6h6JvmFezR1Uayrpx40aMGDGiXT2MNq0cxptCkZqRhu9e/5+Yk3k6aQipNHdRalKPZlcPmWeT9nnevHkiTErDZCWnB05pe/ny5aLokK+vLy6//HJxnfRzX3vttSKkLvvma9TV1+PHH3/Erl27cOmll4rHPVtdZQV+fOWfkCsUGD5rHobOvBwaHcvFn6EiE/jvYMA9CIgYAUQMB3yigJztQMZGoCQZUHsCj2YCCsf/aU2vSseK4yvwU/pPKKyzzzs+m7vKHTFeMYj2ikaMdwxivWLFttQYNImIWsd9SBCUvhqUfXoEprxaFPzTXlcB0swW6a3YBhQ8u/2M+/hdlQTd4I6vck/UXTBs0hl0aiUemJaIEC8tJicFwfusSmz/vXoILukfgo82Z+BoYQ1qGsyit1Nqqw8DUf7uFwybP/zwg5hDKYXDhQsXtvk3IA2N/fSrzxvPS712UlEdKVz26tUL/v7+Xeq3a6mtg7mkGJrY2Bbfp1+/fmJY7cqVK2E2m8VlYj4JIHotU1JSRIhesGAB3NzOnJMnHYckrQxH03NgDo0SBYg++OADDBw4EFOnThVLr5weNn1DQlGSnYkt336BPat+xMi5CzD8srmQNdMb6lLK0gC5CqgrBlJW2tvZfKOB2iLAO9whTyktQbQmc40ImQdLDzZe7qn2xNCgoSJYSqFSCpOx3rHw1/qzijERkQNpYrwRdPdglH12BKZC+5Scc5ysYqtgFXmiszFs0jnunBjf7FGZOSBUNCn0FFUbkFpUI9qxoloMirhwT6VULTU5OVkETmluYVsL9UhhSbqvh4eHCFZxcXFddm6izWpF/l8fRf227Qh/9VV4TBjf4vsOGTIEoaGhePvttxsvW7duHTZs2CC2pUJA0lqdTek3YTLSd70AHzkQNn0O9u7diwMHDoj5oaeHzaCYOFz/4n+Run0zNi/5AhX5udjw+YdQa90waNql7frZe4xe04C/5QIF+4HcnUDuDqAqFwgbCsROAKLHA+7t+4KjsqESu4t2Y2fRTuws3InUitTG6xQyBcaHj8ec+DmYGDmxyWJYREQ9haWqCmXvfwBrQwNCHn/M6YWGgu4bCmudyV4o6KXf7VfIgPB/jmfxIKJmMGxSm0lDNkO8taJdlBjY4vtJa0pKhWuk6qlSj93ixYuhUrVtLavrrrsO3UHpW2+hdu1vkKlUUHi1fk6kdMxO98cffzRuS3NRzydu6Eio3XSoLy3CsF7x4rZSyG9qaRSpBzNpzAT0GjkWG7/6BLtWLMOh9b8ybJ5OpQWiRtmbA0lf3Dyz9RksPbb0nOv6+PURAfPS2Evh79a1euuJiBzNqtej/LPPUfb++7BWVwMKBfxu+BPUERFO/8yj8Dgx7/20DkwRPonovBg2ySmkQj2HDx9GRUUFNm3aJM73VDW/r0Pp/14X2yFPPw23QYPa/EZ3cgjt6Uwmkygq1BSlWo1eo8bi8Pq1SN60HtNu/zPCw5sf4nly3ubulctRmJaK8vxc+IW17U2+dsMGNBxNgf9NN4qgTU2TCv6cDJoJPgkYHjwcI0JGYFjwMAZMInIJNpMJlUuXovSNN2EuKRGXaXr1QuADD0B1gfctIuq6GDbJKaR1I6Xhn1LxGylsSvMIu9ocy98/fgd1FRWiZ1Dt5iZOte4e0Pn4wN3bBzpvH7j7+IrLzjev0ZCWhvxHHhHbvtdcA5/5V7Rrn04WB7r11lvx3XffQalUitacXiPHiLCZfWh/i59H+rliBg1Fxt5dSN64DuMWXd+m/S18+hmY8vNR9eMPiFuxgvMJz+PLo1+K03kJ8/D3cX9v07EmIurO6rZtE+8ZEilcBt53L7wuuwyyblbcj4jOxLBJHcJsroFS2fxw0b59+4olPo4fP46ff/5ZDIk9e2kPZ8rcv1fMXWyN+Y//AzEDh4jt+r17kXvXYlhra+E2fBiC//ZXh+2b1Dt57733iiVPmlvORFJdav+G2Du4ZeuLndR3wmQRNvOPpbR5P611deLUmHYcFZ9/Ab/ru8ew585Uqi/Fr1m/iu2rep9/PVUiop7Mffx4eEy9GO6jx8Bn4QLIzzNih4i6F4ZNcpiGhnwUF69Gcckq1NYexYTx26FQnH/5DClYzpw5E2+++aYInNKwWqlwTVcxbuF1okqrUV8PY4Mexvp6NNTWoL6qEiVZGWioO3MdUkn67h0ibFb/+ivy//IwbAYDtP37I+K//3X4MFIxf6QF3/jmHT0iTsN7923V48ePGI2r//EyQnsltXkfg594HPkP23t2i55/HurYWHiMH9fmx+uJlqYuhdlqxqDAQejr37rfETVvR0Y5BkZ4Q6tizwhRVye9p0W+bp9yQkQ9B8MmtYvNZkVe3pcoKFyG6uozh2lWVe2Fn1/zwUIaOjthwgSsX78eq1evFtVlu0pF2aQxTVeMrS0vw5J/PC7CptbDE8FxCWKYbXBsAoZdNhfln3+Boueekw4OPCZNQvi/X4HcSWtWSnM8844eFtsRvfu16r4qtQZhib3b9fzuY8eeOmO1om7zZobN00ghc0nqErHNXk3HyavU458/J2PlgQL8ZXoi/jyllwMfnYiIiFqKYZPaJSvrbRxPf+XEORl8fEYgKPASBAbNgFbTsmGb48aNE8txSOtuSqFTmsvZVdWUl+Lbvz+GioJ8eAYEYuGTz8PnxPBUaXmT4pdfQd5nn6Dc2x31g/pDH+KF0O+/QZ/xkxAY3fL1NR1F6pWV5l821NQgJOHcCrQdTenvD69Zs1D900/ifPlHH6HhaDJ8r74anlOmQHaB+aY93bqcdSiuL4af1g/To6c7e3e6vQaTBe9uSMeb69PQYLJKy96husG+Pi0RERF1Ptf+pEftUl6+GcfTXxXbMTF/RkT4ddBoWr4EyknSsifScNrPP/8c27dvx6BBg8S6kl2NNPdRCpqVRQXwCgwSQdMrIBAl2ZnIO3IIaV9/gaKqcjT0jbHfobJEtNzkw9j541IEREaj9/hJ6DN+IrwCgjplnzU6d1z3/GswGQ2ip9IZwl56Ed5zZqPiq69Ru3496rduE00ZFASfhQvhs2ABVMGdczy6CqnH+af0n/D8jufF+fm95kOt4Pyk9hzPNYcL8ezKZORW6MVlI2P98PTsfugbdmo9WSIiciJ9BbDrQyBlFXDTakDBGOIK+FumNmloKMChw/dLYyMRGroA8XEPtOtISsNn+/XrJ+ZtSmtv3nzzzRcsfNOZCo8fwxePnfoZjXo9vn32cdRXVcHUYP9wK6hVYt5JUGwCIvr0hV9YJDL27RKFdkpzsrDpq09EC+/dT/R2Jo4ZDzeP1q+72VrOCpoSqVKvx0UXiWbKy0PFkm9R+d13MBcXo/T118UapJ4XXwzfa66GbtSoLlUkqqMKAklraq7PWS/O9/fvjxv63eDs3eq2DGYL7vtqH1YfLhTnw7y1eOyyPrhsQGiPfy0REXULlTnAtjeB3Z8AJnvhQBz9Ceg319l7Rp2AYZNazWo14tChe2AylcPDoy+SEp92yFGcMWMGjh07htzcXOzduxfDhg3rEr8di9l8RtCUSIWCpCZRajQI69UbYUl9EOThjegpU6HWujXeduDUS9BQW4vU7ZtxdNN65CQfEvMopfb7R+8gbuhwTLz+1sbhuD2ZVM4+6IH7EXj3YlFEqeKrr6DftRs1v/wimlRAyPfqq+A9dy4UXm3vkZKWnCl77z3Ubt4i1vj0u+mm8y5P09le3/u6CJpKuRKLBy3GTf1vEtvUtmGzd3y2G3+klkCtlOPOi+Jw56R46NQ8nkRETleRBfz+LHBoKWCz2C8L6geMuxfofZmz9446Cd+RqdWOpb2Aquq9UCq9MHDAG1AoHFPQx8vLC5MnT8aaNWvw66+/onfv3nB3d3f6b8hqtYg1NaUqtMNnX4Gg2Hhode5Q69zFGps+IaFQXGDuodbDAwMvniFaTVkpjm7+A8mb1ouqtmk7tyEvJRlzH34CYYl94ApkajW8L7tMtIaUVFR+8zWqlv8AY0YGiv75PIr//Sq8Zl0Gv+uug7Z3y4sU6Q8eROk776B27W+NlxX/62XU7diBsBdegNLXt9n7S/NubQ0NsDY0wKbX208tFrGwuKN6ye4fej+K6ovwwLAHkOjb+fNoewq90YLbPt2FTWmlcFMp8MGNwzE2PsDZu0VERJLaYuDjWUBVtv14xF4EjLsPiL9YKj3MY+RCGDapVQqLViA39xOx3bfvy3Bzi3LoERw5ciT27duHoqIiETjnznX+EAtpCOptr38oAqUjesc8/QMwYs580UqzM7HqjVdRnHkcS/7+GC69+0EkjZkAV6JNSkTIk08i8MGHUP3TClR8+RUMqamo+m4pqpYuQ8BddyJg8eJmiwnp9+1DyX//i7otWxsv85w2DdoBA8RQ3bo/NiBj7jxo+/aFtUEPm74BVoPhVKA8eWowNPn4utGjEfnuOw5Z981H64O3pr6FTmOzAeXpgH88eoo6gxm3fLIT29LLoVMr8NGNIzAqzt/Zu0VERBKTHvjqanvQ9IsDrvwICBvMY+Oiusa4MuoWauuO4ejRx8R2dPRdCAy42OHPIa0bOWvWLNHL2atX11muQKlWd8gwzICoGCx65gXEDRsJi8mEn157Edu/XyIKnjhKaW4Nsg6XIetQGQrTq2CzOu6xHUnh4Q7fq65C7A/LEf3F5/CcPl0EpdI330LWDTfCVFDQ5P2sRiOybrzJHjQVCjEEN27lT4j4338RcPttiPl2CdQxMTAXFaF23TpRnEgKp4bkZBgzM2EuLISlquqcoCnTaKDw9pYqWKF+2zYU/t+TDv29dAqzEVh2O/DORKDwIHqCWoMZN360QwRND40Sn90y0mlBU3o9rHzzADZ/dwxGPaveEhFJy5zh+zuBvF2Amy9wzbcMmi6OPZvUImZzLQ4evBsWSz18fccgLlYqDtQxIiMjce+990LpIstiSPM7L//L4/jjsw+x5+cfsOnrT0XF26m33n3B4bkXkrG/BD+/dWbI8A3RYeCUSCSNCoFK0/UWu5eGq+qGDROt6qeVKHzqKeh370b63HkIe+5ZeE6desbtLRWVYugr5HLEr1kDdUT4Gddrk5IQu/Q7MUfUZjJBrnWD3E0LWeOpFnI3N8i1WshOnmo0jV8u1G7chJw770TVDz9AHRuDgDvvRLdQXw58ewOQsQGQKYCSFCBkALqz6gYTbvxwB/ZkV8JTKwXNURgc6eO0/akpa0DmgVLIFTKMntdzeo6JiNrs938AR5YDchWw6HMgIIEH08W5xqd5ave398lHH0N9/XFo1MHo3+81yDu4oImrBM2T5HIFJt9wm5j/ue6jd3Fo3a+oLinC7AcfE/NC26Kh1oR1X6SIbe9AN6jdlKgsrkdFYT3++DIF25YfR78J4RgwKQIevs6rVtsc71mXwW3gAOQ99Bc0HDyI3D/fI6rWBj3yiAiFEmtdrTiVe3qeEzRPkru7w6eNQ7I9JoxHyBOPo/CZv6Pktf9AHRUFr5kz0WWZGoDtbwMb/w0YqgC1B7DwEyDhzJDe3VTpTfjThzuwP6cS3m4qfH7LKAyI8HbqPpXl26sq+oa4Q6HgQCGitrJUVkLu4eHyay93e3s/Bzb92749539AzHhn7xF1AXx3pAuS5mgWF6+ETKZE/wH/g1rNIhwdZciMWZj76P9BpXVD9qED+Or/HkZVsX1Jh9ba8HUK9NVG+Ia646onR2LhYyNw4/PjMH5BL3gFaGGoN2PPmix89vgW/PLBYRRlVqMrksJdzBefw++Wm8V5aU5n5sJFMBw/Ls5ba+xVgRUebQvlLeF79dXwu8G+PEn+X/+G+r170SWHLu3/Bnh9OLD2KXvQDO4P3PRztw+alfVGXPv+NhE0fXUqfHmb84OmpDzf/kWHX5jzC5kRdVfWujpk33Ircu/+M6z19c7eHWoraRTNivvs2xc9DAy+mseSBIZNalZl1W4cS7MvPJ+Q8Ff4eHeN5Uh6srghI3DVMy/Cw88f5Xk5+OLxh1BdUtyqx0jbXYxju4ohk8sw9cY+UKrsw2Wl3s1BF0fi2r+PwaV3DkBYLx9YrTYc21mE717YhWX/2o3je4phtVhPTfJf+RBQWwJnV68NfvhhRL73HhT+/qKAUMb8K1Hx7bew1Jzo2ezAsCkJeuRheEyZApvRKD4UGXNz0WWk/wG8Nwn4/nagKgfwCgfmvgXcsQEIHYTurKzWgKvf245DedXwd1fjq9tHo1+Y84OmJH5IECZdm4Q+Y0KdvStE3ZI0tSH3/gfQcPgw9AcOwFxW5uxdorYoPQZ8cx1gNQP9rgAm2et7EEkYNum8jMZSHDp0L2w2M4KCZiIy4kYerU4SFBOHa557BUEx8YjqP0hUsG2Nsjx7ABt2STSCos9dr1IulyFucCDmPTRU9HhK8zeleWcFx6uw+t1D2LLM3muIlX8Bdr4PfHQJUHmifLkTSUNa45Z/D/exY8Q8TaloT9Fzz4nr5J4dGzZlCgXC//USNH37wFJeLuZxWk70qjpNcTLwxQLg0zlAwX5A7Qlc/CRwz25g8DWAvOvNyW2N0loDrnlvO5ILqhHgocHXt49G75C2r7/qaD7BOjEUPbKvn7N3hahbTtEpeOpp1G3cKObOR779FtSRkc7eLWqNmiJg31fAF1cCDVVAxEj7F51dZF1r6hpca2IctZjNZsGhw/fDYCiEThePPr2fd9g6g9Qynn4BolKtNJ+ztZVwR82JEx+Ag2Mu/ME8MMoTU2/qizFXxOPQH3k4tCEPvceE2K8c/4B9aExZGvDBdOD674Eg564FqgwMROT776Psgw9Q8p//irU5JQoPzw5/bmnuZ+RbbyFzwUIY044j7777EfnO25CpVOhUdaXAb8/Y58fYrIA0h3r4zcDERwH3njHMvbi6Ade8vx1pxbUI9tLgy9tGIz6wY79QIKLOU/q/11G1bJkIJuGv/htug7r3KAyXYDEBOTuAtLX2Vnjg1HU+0cBVXwIqx6y9Tj0HwyY1KT39VVRUbIVCocOAAW9AqeSHPGdVqm2rsITWVel099aIkDp8ZgwUyhPhVqoid8sa4LMrgJJk4MNLgGu/BSJHwpmk8B1w221wHzFCFA8y5eVBGRTUKc+tCg4W38BnXnsd6rZsQeGzzyHk6ac678sYaTmTz+aeWsqkz2zg4qd7VMW/wqoGXPPeNqSX1iHUW4uvbhuNmADOi6Ser/zbVBgyq6CJ9oImzhuaOB8o/Xreh/eKJUtQ+uabYjvkqafgOXmys3eJLtSDufpR4NhawHjWiB5pqkb8xcDI2wCPQB5HOgfDJp2jpPQ3ZGbZF53v3fuf8HDvOutddjqpoqfGE+h7OeDROWHG2RqD5kleYfYiM18uAnJ3AJ9eDiz8DOjl/KIzboMHI/b7ZahevRoekyZ12vNq+/ZF+Csvi7mbld98I6rTuo/qpAC+/nl70NT5A4u+AKLHoCfJq9SLoJlVVo9wHzcRNKP8dc7eLeoEdWYLcg0m+CgVCNZ08miBLsKQUQVLeQPqyxpQv8c+V1/ho4G2ly98rkjoESOMpOGz9bt2iW3/u+6E76KFzt4lupCjPwGHv7dvS+89UriUCs/FT3aZz0bUdgybdA5pjqZC4Y7Q0PkICZ7tukdIqu658RXAWAtEj+2+f1CleRSQAdp2zHXT+QF/Wg4s+ZN96MxXi4C5bwMDF8DZFF5e8F3Y+R9WPKdMQfDf/gaZWtV5QTN7O7D5Nfv27P/0qKApfQBdn1qCJ74/JAJnpJ89aEb4Mmi6it3V9Vi4/zj6uGuxbmRvuCJ1lCf05Q1QBusg1yhgzK2FpdIAU1FdjwiaEunnCHvhBXhOmgTPSy919u5QSwT1tZ9qvIG/HOv29QCoczFs0jmCAmfAY0QStNow1z460jxFKWgq3YCAJHQrNYXA0ZVA8gogcyOg9QEWb21fYFa7A1d9BSy/Czj0HbDsVqA6Fxh3v/TpAa7I70/Xd96TSZWBv7/DPkdz0NX24bM9xMHcKjy/KhlbjtsrUcb468QczTCftg8jp+6n2mwRp55K1/0gq4n1hn5fCRTuKgTePhBWgwXGrK65LFV7p0J06fWK6UzhwwCVzr6kVslRILgfjxC1GMMmNUmni3HZI1O/vxhVqzKh8amAqDEZOlAaW4ouz2IGdn0IHFoK5GyX+opOXVdfau+lvfTF9j2HUg1c8R7gEQxsewNY+zRQmQNc+lL3OEbd2aFlQEUG4BkKXPICeoKc8nq8/EsKftiXL86rFXLcOC4Gd09KgLfONYdRuqoigwl7a+xrLHoo5C4dNiWG7BrYzFbRu6lN9HX2bpGrK0+3h01Tvb1AEMMmtQI/HRKdTSYTw5bMtgb7+bAh3eMY/fI4sP3tU+fDh9t7v9wDgR8W24PomLsBn6j2PY9UGfeSfwI+kcDqvwG7PgCq84ErP7D3flLH2POp/XTErYBb64o/dTWV9Ua8sS4Nn2zJgvHEmq5zB4fhoelJiPTjsFlXcaRWjxfSC7C/ph5FRnPj5f5q1/1oIr33CGYrzOUNUAXx/wM5kc1mf49f8zhgbgB0AUBUz5m+QZ3Ddf+iE52HwlsjTi11cvv/kO4QNlNWnQqaFz8FDFwEeIefuv7A1/YlTP54Ebj8Dcc85+i77MWDlt0OpK4CPp4FXPNN953b2pWVpAA526SxZ8Dgazv86aw2K+TSczlYg8mCT7dm4vXf01DdYA8XY+P98djMPugfbu/RIdehlMnwS5l9iKj0auvlrsVgTx3uiw6GqxYHKvvsiNh26+cPZSCHkZMT1ZcDP9wNpPxsPy8VBLr8TcDTNf9/UtsxbBKdL2yaPWBTyCDr6mFT6lVcvti+PfpuYMKDjVeZjUYc/H0NBl70OBRS2Nz3pX2OZYCDKgyLKr0hwFdXAfl7gPenAtctddzj05m9mr1mAF6hHX5Uvj/2PZakLsEt/W/B9Jjp7X48q9WGH/fn419rUkTxH0nvEE/89dLemJgY2GMKn1DrxOs0eLZXOAZ6uKGfpxvcFa47V1NiKq6HzWSFJtEXflf35v8Lci6lBihNBRRqYOozwKg77SObiFqJYZPoLApPNfyu7gVF5S7A9CDg34XXL7Ra7D2L+nL7WldTnzqjuue3zz6B/JQjMF93M0YkzbR/Q7nsNvtQzPgp9p7JJhQVFWHbtm3w9vZGUFAQAgMD4efnB0VTHwajRgG3/Ap8MR+oyAQ+mAZc/TUQNbojf3LXYagF9n1h3x7aOQWJvkv9DkfKjiC/1j6Xsr2keZlvrj8utkO8tHhoeiKuGBoBhZwh05UpZDLcGsF1+U7yGBUqvuzUxntDdvYSVESdTZoWs+Bj+3bIAB5/ajOGTaKzyBQy6AaFAJh1onXxdUClarNqD+DKj+zfRJ4g9RYNmDJdhM1tS79C38cfgnvab0D+XvvQGElgHyDhYiBukr030jMMNoUKK1asQG5u7hlP5eXlhblz5yIuLu7c/QhIAG45sSRK3m7gkznA/PfsPZ/U/l5NfQXgGwskXtLhRzO5LBmHyg5BKVdiTsKcdj9eVb0JH23OFNv3TknAXZMS4KZ27R6ssxVWNWDlwQJolHJcNzra2btDTuTWW5SlI+oaGDLJAfjVGVF3JVWEW/+8ffuyVwD/+HNu0u+iKQhJSIRRr8fGtduAO/4ALnrEXjxIWnuzJBnY+jrwxZXAfwYBzwYh+6UJImgqZFYMCrAgzEsJlUKO6upqfPrpp/ht7VpYLPYlCs7gEQjcsAKQelAtBmDJDcBWB80PdVVmo/33Ixl3X6esbXbtz/Y5oaNCR8FP27YPvp9vy8K29DLRu/7VzmzoTRYxbPaBaYkMmk3Yl1OJf/x0BO9tTBfHjIiIqKdgzyZRdxXYG+h/hdQVCwy66rxrmU258Q58+cRDOLx+LQZPm4mQKY8DUpMm/2f8ARz/HcjaYl/CxGLAZr2953Kw7RBml/4mto1QYjUmYQ8GYOOmTcjc+gPmh+TCxz/IXojIKxzwjrRvSwWI1j0H7HwfWPOY/XFnPNejFoGuqzKgIK0K0f39odI45ueSQkZqUS2SQjxPXXjwW6A6z77UjLS2ZicwWU3iVN7G7yIr6owiOBnMViQFe6Ksziguv3l8LOegnceEXgFQK+XIKqtHWnEtegWf9hogIiLqxhg2iborrZd9zUvrqSUDmhLaKwl9L5qCIxt+x++fvIur//4v+4d+nR/Qb569SWw2FGWmIPWTr8XZsROmAJa+QFUu1FV5mFOdjLjqHKzAxcix+OPtPHfMyfsVfWG//Rm8IoBpfwd+fRLY/hZQnWvfV1X3ra5os9pwdPd2pG6rQ36yXBS9CU/ywex7BkPhgPlV3+7KxaPLDuCeKb3w4LREqaoOsPk1+5XSkjUqLTrDZXGXYWX6SlGRti1MFivmD4vA93vykFJUIy4L8FBjzqCm5we7qkN5VaJlltUjs7QOJ6ev/na0mGGTiIh6DIZNou5MCo0K1QVvNuGaG5GydSMKUo+iNCcLgVExTT7Wln3JYrNPnz7wv3jROTfpbzEhPPcYvvtpDfJKgCWYjWGBJlzikwFVTTZQlWcvVqT1tg/7lHo8l98FJK8APp8P3PBTt6tmV19tRPKWfBzZlI/qUmntVSkV2CCTy5CXUok/vkrB5OvaVzkyo7QOT684LJY0c1Od6CmVijlJlQA13sCwm9BZ7hh4hwib2wu3o8ZYA09163rZgry0+Oe8AXh0Rm98uzsHvx4pwp/GxEB78udycftzKkVV3k1ppU1e7++uduwTSiMYpNemm69jH5eIiKgFGDaJXICHrx9iBw9D2s5tSN26scmwWVVVhYMHD4rt8ePHN/1AChV8o/vi5juTsG7dOmzatAm7S1TIxjgsWPCaqFwLYz3QUGm//YArAc9Q4Otr7OtDdpOgKfVi5qZU4PDGPGTsKxW9mBK5Sg+v6K0YN3seYIzGz28eQPLmAvgE6TB0RtsKuxjNVtz39V7UGy0YE+ePOy46UYDpZK/myFvtvdidJNY7FjFeMciszsTmvM24JLZtRYm8dSrcOiFONLKTgvdtn+4S2yqFDKPj/BEX4I4Yqfm7IyHIA5F+Oscerl0f2oe1S/O0pXXypIJg0nJOPWhYOzmfyWJCrakWvlp+qUFEZ2LYJHIRiWMmiLCZsnUTxi687pyeOGmpE6vVipiYGISHhzf7WNISKFOnTkVsbCyWLVuGkpISvPvuu7jkkkswbNgwyNSnfWCOGQfcu9c+bLcb9GIe3VqAw1IvZol9PUhJcKwX4oaZUGa9G2qtDtGJz0AmU2D8wl7Y+M0xbP3+OLyD3BA/JKjVz/nq2lQcyK2Ct5sK/140CPKT4ynnvA5s+Z99bbNO8uPxH0UzWuzzLH/P+b1FYVOab8q1Mls2NzPcxw2j4vzwwNRExwfLppSlSd+eALk77G39P+29nEP/ZB/qTtROuwp34f82/x96+/XGq5Nf5fEkojMwbBK5iPihI6BUqVFRkIeSrAwExZzqcdLr9di9e7fYHjduXMsfMz4ed911F77//nscP34cP/30E9LT0zF79my4uZ02P9OJQdNiskKhkjffi5lagSMb85G+rwRWi70XU61VIHFUCPpNCENAhCfS0/+Dikwj/PymiqApGTg5EpVFehxcn4u1Hx6Bx0NaBMe0vBdyy/FSvP2Hff3JF+cPQKj3accsqDcwt3Or+R4tP4rtBdsbzx8oOdDs7Y1GIzZs2ICysjIsWnTusGs6kzSU+NcHL4JO3fxbr7nKALlKDrnuPEPkpdED0hJGkaMAxQXexue9DUx5ApCWPUpbC6T/YV9KR6p0TOQAUm9mfl0+cmtzxd+MgYEDeVyJqBHDJpGLULvpEDtkOI7t2CLmb54eNrdu3ABzTRWCIqORkJDQqsf18PDAtddei00r12H93s04cuQI8vLyMH/+fERFRcGZLGYrPnlsMwIiPBA3JAixgwLg7q05oxdTmotZdVYvZt/xYeg1PPiMSrPl5RvFqb/fhDOeY/yCBHH/7MNlYljtvIeGil7OlvT07cgoF/M0rxoRiUv6h8LZ5iXMQx+/PiioK0BRXZFY/uR8PZnJyclYvXq1GH4tycnJQWRkZCfvcfdzoaBpbTCj7KNDsFlsCLixH5T+TRTV2vgKsPFl+/bfcgHNBebVekcAw26wN4sZyNsF6Pzb82MQNYr3icec+DlYnrYcr+15DR9M/4AjHYioEcMmkQtJHDNehM3UrZsw/qo/iQ8E+ro67Pn8PbgbGhARF92mDwnmgnrE79TC220M1mkOo7KqUvR4XXfddXCmooxq6GtMyEmuEE0q5hMS6w2dtxqZB0obezFVWgWSRoag74QwBEae+8HdZKpGVfV+se3nd+Z8VrlCjhm39sOyl3ejLK8OXzy1DXKlDDpPNXRe9pYwPBhJo0LOedz7pyZicKQPRsZ2jSHGvXx7idack+tAfvPNN+LU29sbl156KYOmg1hqjLDqzbBUGVH85n4E3jYAqhD3M2/ke9qc65eTgHt2AV4trPYr9YRGjYazVVZWiuH3Uq94aWmpaNIXVJ6eXPalO1o8aDF+Tv9ZbNeZ6uCh9nD2Lrm8khoD1Ao5vNyUDP/kVAybRC4kfuhIKNUaVBYVoDjjOILjErDq4/cgM0hVVoFja3/GrpAQDJ99RaseVyYN+fNQw7/cirluw7A/qQRTZk2Ds4X18sG1z4wWw2OlJoXPwnR7T9xJSrUc1zw1Gh6+9h7PplRUbJX6nKDTxUOrPfdDvdpNicvuHoSVbx5AWW4trGYbaisMokkCo88/tHZSUuvneTrLyaApdccqzEaMnTIVEyZMgFrt4AqqLkwVqEPQ3YNR+skRUfhY4dfEkjdDrgN+ecJeiMtUB7x3MXDtt0BIf3QHv/32GzZutI8UOJ0UPhk2u6dQj1AsnbMU0V5t+8LyHFIP/Bfzgb5zgcHXAMrz/32mpj2/KhnL9uTBQ6NEhK+bmC8ureE7INxbtEi/lo3A6ShbKmrxU0klLgnwxkV+/JKpJ2PYJHIhKq0WcUNHIHXbJjGU1iswCBlb1ovrvCNjUJWTiT8+/1CEihFz5rf8cYN0CFo8CGXSB+ScGgw7FARFHz0w2PlvID7B9kqxUqutaED6vlLUVxvgH+GBX947LNbIdPdpPiyVlW9ocgjt6Tz9tLjqiZEwmyyiN7W+yoj6GiPqqwwIjGr7cZAez2y0Qut+4SVuOov08USXdhDW6HCoL77Y2bvT4yi8NAi8YyBsRgvk6iaqxkofEG/7HfjfUPv5mnzgw0uAhR/bK852cWd/wB00aBDi4uIQGBjotH2i9ovxbmJJrbY6vAxIX29v61+wrzU8/KYLDxmnRtV6+xrctQYzjhbWiCat43uSVJSuf7gX+p8In1KL8tN1WgBdWVKJD/NKYbLZGDZ7OIZNIheTNGb8ibC5SQyhhdkMi8YNC5/8Jw6t+Qlbv/sSG774SATOkZdf2eLHVXioEXDbAJR/k4KGw2Uo/zoF5goDPCdFdJkhPB6+WgycHCG203YXN4bR5vZPOg4n52uePYS2KUqVAiZDA/b/ngOvAC1GXBYrAm1rSc8rDfXd9O0xBMV4Ycatzu+1ko5TY+8mgIBoB364pDOIkNlU0DzJPx6Y+Cjwx4v288YaQH9iyaEubvLkyfDy8hJzfs1mM1JTU5GUlMReTTql92XAjOftFbmlL1N+/T/7XOXJjwMjbuHSPS3w/g3DoTdakFepR25FPXIq9DiSX41DeVVIKaxBld6EzWllop3020MTER/YOUOgJ/t74YO8UvxeVs2K5j0cwyaRi5GKBKk0WlSXFOHQb2vEZR59BokPf2MXXCMCxZZvv8DGLz+GzWrFqHkLW/UB2f/aPqj6OQO1m/JQvSYT5jI9fOclQKboWmtsVhbVN4bN5uj1mWhoyINMpoKvb9MFc04y6s3YuTIDB37PbVybMy+lEjNu69/sMN2m9m3jklRkHy5vrKjbUGfqEr2bJ2O5NBy7z/hJTt4bFzf+ASB8GBA3CTj+O5B0KboD6W/M8OHDxTJLS5cuRUFBAZYsWYLBgweL+b8aDYdMujy1OzBmMTDiVuDAN8CmV4Hy48Cqh+3nZ/+n2wwbdyY3tUKs3yu1s9d3Ti2qwcG8KtGkAJpboUes/1nzwx3EarNhX009+ri7we3EZ4GxPh7QyGXIM5hwrN6ARPcmpgxQj8CwSeRipKAZN2wkUrZIQ0NtMLt7oe+YUz12Y668WnwY3Lzkc2z6+lMROEfPv6rFjy+Ty+AzKw5Kfy0qfzyO+l1FsFQZRAiVa5XdLmyWlW+y3857GBSKpm8r9falbi/ElmXHRZVbSWRfPxSlV4k5okv+uQPTb+mHiN7NFwIyNpix6+dM7P8tRxQvkitkGDw1EsMujYG6Cx07SdLYCdC6N/ENuNUKyLvWFws9lsoNSJxh3+4mQfN0AQEBuOWWW7B+/Xps2rQJ+/btQ1ZWFq644goWnCI7pRoYer193uauD4Hf/m6vpvzuJOC+ffZKy9RqaqVcDJ+V2tUnLrNYbafWeW6B6jI9vJqqln2CyWrD1spa/FxahTWlVSgwmPDJgFjMCPAW1+sUcozx9sD6ihqsK69m2OzButanFyLqtKG0UtiU+t4MQRFITEw843opXMrkchE2pdAphSkphDZHuk1RtUF8Wyp9ixo2JgwKHw3KvzwKw7FKlLy9H/439ofSp2v0WlScCJu+Fwibp4bQNj1fs6qkHms/Sm4sPCQtezJhYSKi+/ujsrgeq985hLK8Wvz4n30YdXkchk6PFoH89OMmVbHNPlKGA7/loK7KHlaj+vljwsJeFwzDzpIwYsy5FxpqgbfGAFIlyunPAgmcz0nNUyqVmDp1Knr16oWvvvoKFRUV+PTTT/Hwww+z8JSLkioTL1u2TLwvScOrQ0JCIJMrgJG3Ab1nAasesS/dw6DpUIoWBk1p1M7aj44gbVcRFj4+QqxDfbbP88vwj+P5qDJbGi9zV8hF4DzdZH9Pe9gsq8Edkd2nWB61DsMmkQuKGzoSsaPGIzkzG7qAIISGnrvGoxg+K5Nh01efiGG1NpsVYxdcK8JRaa0Rx4pqRLBMKapt3K5usBck+Mfl/XD9mBi49fEXhU5KPzkMU7FeDKntCmFT+hla0rNptRpRUbFNbPv7Nx02pUq0FYV1UGoUGDEzBoOmREKhsvfs+QTpMP/RYdjwZQqObivEtuXpKEyvxtgr4kVl3JzkcuQcrYD+RG+oRJrnOX5hImIG+HeZua5N0eqaGG6VuwOozLZvf34FkDQTmPEc4HdqTVeis0nzNg8dOoSGBntV7OjoaBFCyTVJc3jz8/NFk3q9pQrFUvCUWmxsLNSLPrNXq+0gFrMZRzb8jpCERARGcV762UTvp80m1ohe+tVR+FwXD7VcBqVM1nj6SV6pCJqeCjnmBPng0kAfjPfxgPas6TST/bzwFPKxtaoW9Rar6O2knod/zYlckEyhgLFXP5iqGzAgMfG8oSZx2uViHkfm6iXY+t1X+G5XDtbphqDiRJW7pr4ZjfbXQXnaG4Y6wlMs5WDKrYU23gddgVQtVppfKU1AlHoiz6eqah8sljqoVH7w8OjT5G3cPNSieI9vqE4UIDqbSq3AlBv6ICTeGxu+SRVFf6R29vIrYb18RcDsMy5UFBnqDpWNz1FgX4sUnqFAbTGQ8jOQttZeSXLCQ6wkSYL4wqq0FBkZGaJlZmZCr9eL6y666CJMmjQJcg7F7vJsFhsqlh2DJtYLusFBkLWhEFpTBg4cCK1WK0Ln8ePHUVNTg927d4t22WWXYcSIEfb1YjvI+k/fx741P6HXyLGY89BjHfY83dmoy+NxdE8xcLwGr60/joyQpusJ1FqsyGkw4lBNvejZHOKpOyNw9tJpEK5RiXmb0pDbi/3Pv0wYdV8Mm0QuRm+x4uaD6Qg9nAzpz7ruxDe3yQXV2JtdKXoojxXXIKWwFqW10jqR/hjiNwbjy7ciPHMTEn302OE3UpRITwz2RGKwx4lTT8QFukOjPDcoKX20onUVUtAMTfAWhXeaDXYyGXx9x0CrDYdMdv4PUtL8zOZIYb7fhHCxBMqa9w+julSPoChPRPbxEy0kzruxN7S7kAoEnaPggP101J1A4iXA6r8C6evsxT2kqpIhA4CIEUD4cCBiuL3Hswv33pLj/fLLLzhw4ABqa2vPuNzd3R1z584Vw2mpezDm1aB+dxH0h8ugGxrssMf18PDA0KFDRTOZTOLLCCl4Su3sKR8dYfD0mdj3y0oc27EFxZnpCIrhyIyzeQe6oXyAFwL3V2PuYQN2JvlA+gpaWsZEmqtptFqRUm8QU3U2VNSKJlHLZBjipcMob3eM8vHACG93TPH3wmf5ZWLeJsNmz8SwSeRC6iwW3HAgA4fyCpDUUA+zTI5bSo24KS0PNXtLsXR37jn3kRaC9u09HebSACh3rcRtc8bi42lTRZW77koaOnvFX4Zd8Ha+PiPgO8Q+Z9URgqK9cN3fR8Nssooez+5MpdWcv2czdCAQ1Bu4/nsgZZV92YKyNCB/r2i7NZ9ghac77q0H/MJH2IOn1KTKqlp78QjqmQwGgwia0jDZyMhIMSxSamFhYVAouvf/iZ7GUG/CD6/tg0+QG6be3O+c4jGG4/aldrTx3mfMQ3cklUolvoCQ2syZMztlaoF/RBSSxkwQdQ22Lf2avZvn8ej1A/F5ylZ4lBrxnMkTSaNCzrj+vZxi/F9aPnyVClF5dmd1HYqNZmyvqhMN2cWQvmL1OfGFrzRvE/yuqUdi2CRyEbVmC647kI5tVXUYUm1fV8sUFAKDQom3c0rga2lA72gfjIv0RVKIvadSKvTjoTn5Z2IEKgpmwTc0HK7GkR9wpMfqtkHztNAtVTU+Q0O1fWkCScgg+6l03HrPtFdKrcoBcncCubvwr4LVOCw3o5exHNceWwNIzX4HIDAJ8ImGWPrg7KY663xwPxYJ6WZGjhyJAQMGICIigvMyu7iqEj1KsmtQV2loskqpVPhNoknonOkRnTmHfcz8q5CydSN7N5shTSEZPC0KO1ZkYPeqzHPC5rVhAXgtqxhlJjNmBnrj/f4xyNQbsa2qFtsqpcBZK86Xm+xFhI7rDagymeGtYjTpafgbJXIB1WYLrtl/HLuq6+GllOMfM6cieto4MURpusYDjx/LRWYwUBEMuPuosTAxEElNrHnlikGTzgqbJz7wKc9eC7HwoP3UOxJw9z/zOuk+PlH21n8+Zif3x+EdL2BFzDBcGzbTHkKl5QwqMoGSo/bWErNeBYbfzF9RNxIc7LjhltSxqort82ibmtduNVpgyKru1LDZmdi72bKqtDlH7GtBezaxBIpU7Oe2iAC8kFGI/2UXY16wL2J1GtGuDrW/RxQaTCJ0bq+sg59KCc8mpuFQ98ewSdTDVZrMWLT/OPbX6OGjVOCbwfEY5ClVYLWvkRgGYJxPb7yZU4z/ZhVhszRJf+dRUYb8wehguPOPPzVBqVKfZwjtiV7NZlwaeyle3vkyDtdk4B+2EvQdOBNJkx5AgsoH2sJDQF0xYKwHjLWAsQ4wnbYtLpdOa+2FiIioQ0jLOp2cn3c2oxQ0LTYovNVQBpy/yFp3xt7N5h34PQcFx6ug0igw8Zqm59LeFB6A17OLcbSuAWvLqjH9xBqbJ4VoVLg8yFc06rkYNol6sDKjPWgeqtXDT6XAt4MT0M/j3A8GUnW4B2NCMD/YF0+m5WFNaTXeyC7GsqIKPJMQjtmB3l16GQ7qfOe8HloRNv20fpgcNRm/Zv2KJalLGi+Xy+SI8YpBkm8SkvySkBgxCom+iQjSBfH1R+S0ns1zl4cypJ0cQuvbY/9v+oVHIrJPf+QcOci5m2eRlvuSlvKSjLsyAV5N9GxKpCGxN4QHiM8T/8sqxjR/rx77eqHzY9gk6iGkIjZlJgvKTebG9lJGofhGMVCtxJJB8ejTRNA8XbSbBp8MiMMvpVV44lgeshuMuP1wJi7y9cA/EyOQoOs6FWWpi5n9H2DU7YB7YItu/o9x/8DkyMlIKU9BSkWKOK0wVCC9Kl20VZmrGm/rpfYSobOXb6/G014+vaBTnX+NVCJq/5zN03s2paWgsrLeRmzc/WhI0/fYIbSS7EP7seGLj1CUnibOszLtKVaLFWs/TobFbEVUPz/0HS+Njzq/2yMC8X5uiSgQJNWMGONjH1VFroNhk6iba7BYsbSoAm/nFONYvbRUyZmC1Up8NzgBvZqYg3k+0lCXCb6eeD27SAyBkcqWT96RggdigkUPKNE5VFp7NdkWcle5Y3b8bNFOfllSoi85I3weqziGzOpMVBursatol2ini/CIwMjQkXh4+MPwUPMDDJEjVRbbh9H6nOjZTM94DeXlG6G0+MMr/xJxWVdZO9lRSrIysOHLj5G5b/c5121b9jXmPMh1N21WIDTeG1XF9Zh8Xe8L9lQGa1RYFOKHT/PLxFQdhk3Xw7BJ1E1VmMz4JK8UH+SVosQorXBlJ83LlCba+6oUiNKq8UhsqJiQ31puCjkejg3FghA/PJ6ah9/Kq6Hi8BfqINIHFmm4rNQmRExovNxgMSCjKgOpFakifJ48lYJpbm0uco/lQqfU4dGRj/J3Q+TAtYj1NSax7RXohsrKXSJoymRKhFmvR62tBMpgHRReZ83d7qakL7v++Ox97P75R1EITa5QYODUSzFgynRs/uYzpO/ZCQ+/swqfuShpTejxC3ph+MwYaN1VLbrP4qggfC7W0qzBwZp6DBB1I8hVMGwSdTNWAI+n5uLLgnLordI5IFyjwm0Rgbg2zN/h1dxi3DT4fGAsfi+vwQRf9h5R59IoNOjt11u001U0VGB9zno8ueVJfJ3yNa7tcy0iPCP46yFy4BBaN08VNG5KHEr+tzgfGnolbEeVPa5X02wyYu/qn0TQDIyJw+wH/grfEPvw0HmPPuXs3euSWho0T36OuDzIB98XV4rKtO/2i+nQfaOuRVpPlYi6iZOrHEq9mVLQ7OehxRt9orBtdF/cGRXUYWXDpV6ni/29oJbzT4ZLk37/Uu92F3gd+Gp9Ma/XPIwOHQ2z1YzX973u7F0i6pHzNcvLt6CycjtkMjViY+4+rThQzwmbKrUGo+YtFNvleTkw1tuHEJPj3BNtX/bop+JKpDcx5Yd6Lud/YiCiVpvk6ykK/qwdnoT5IX5QNbHgNpEreGDYA+J0ZfpKJJclO3t3iHrUsifSENr0jFfFdnj4Iigb/GAu1YtPj5q4M5ex6O7GzL8accNGwmIy4YeXn0N9lT1Uk2P09XDDVH8vhGpUyDcYeVhdCMMmUTdyMlJ+PTgeF/l5soQ4uby+/n3Fup2S1/a85vLHg8iRy56oPYpRVbUHcrkGMdGLG3s11RGekGt71kwsmVyOmX9+CL6h4agpK8GK116AxXyqHgK136u9I8VIrPG+njycLoRhk6ib4X9aojPdM+QeKOVKbMnfgq35W3l4iBw0jLbeYl+CKCL8Omg0QWjogUNoT6fRuePyvzwBldYNuUcOieVPyHEC1SqOxHJB/NxKREROY7WdnIncdpGekViUtEhsv7r7VVil2vxE1GbSshYSi3I3FAodoqNvFxVbT/ZsajsgbEprW25e8gXSdm5z6hBW/4hIXHq3fXj+np9/wJGN65y2L0Q9Qc8aA0FERN2C9MH1/dxS/FFRg4/7x0LZznnHtw+8HcvTliO5PBlrMtc0Dq0lotYxGSyoqzI2DqONiPgT1OoAmArrYK01QaaSQx3l5dDDaqivxw8vPwuj3t6jKvEODkFoQhLCk/oidsgweAd13hrPvUaOxegrFmHbsm/w6zv/g394JILjEjrt+Yl6EvZsEhFRp8s1mPDP9HysLavGM8fz2v14flo/3NTvJrH93z3/hcliXyOQeghjPZD8E5D+h1iegjp+CK1cXQu1mxzRUbeK8yeH0KpjvSFTOvbj46F1v4igqfP2gX9ElKh6XVVUiKOb/8BvH76F9++5FZ88/Gds+vozFKSlwHZi2a+ONGbBNYgZPEwsi7LqDfvSL0TUeuzZJCKiThepVeN/faJx6+FMvJdbikR3La4PC2jXY17f93qx5mZubS6WpC4Ra29SN2Y22MPloe/sQdNUd+KK+0+tA0UOV1lc29irGRV5E1QqX3G+cQitg9fXtFos2LPqR7E9btF1GHjxJTDU16EgLRUFqUeRfXg/8o4eQWl2pmjbv/8G7j6+iBs6AomjxyNqwCDI5Y5f9stiNKG2vExsu/v6OfzxiVwFwyYRETnFrCAfPFofghczCvG31FzEumnaVaVQp9LhrkF34R/b/oF39r+Dy+Mvh4faw6H7TO3388ECTO0TDHVTvWP6CiD1FyBlJZD2G2C0Bx/BOwqoLwMaO61tQOoaoNd0+/qv5BB56XulUjnQeFYiMvJ2+5G2WGHIqOqQ4kBpO7eiuqQYbp5e6DNhsv05dO6IGThEtDFXXg19bQ0y9+5C2u4dyNy3C3WVFTj4+y+iefj5o+9FU9Bv4sXwC4tw2H6tff8NEW6l3tZLF9vncBJR6zFsEhGR09wfHYzUugZ8X1yJWw9l4udhiYjTadr8eFf0ugKfHfkMmdWZ+Pjwx/jzkD87dH+pfT7anIFnVhzBpKRAvHXtMLipT+uR2vwfYO0zUrI5dZlnGNBnFjBgIRAx3B42//W/U9d/uRCIHAXc+DOg4Eea9rJazSjIPgJgCALDI6FS2edmGnNrYTNYINcpoQp1hyPtWrlcnA6aPhMqddP/9908PEUQlZrFbELOkUNI27EVKVs3it7HHcu/FS00sTf6T5yKpLETRGBtT2/r0S0bxPZF194kAi0RtQ3nbBIRkdPIZDL8u3cUhnrpUGm24E8H01FlavvadtISKPcNvU9sf3rkU5TqSx24t9ResQHu0KrkWJ9Sgj99uB1V+tPm1vr3sgfNoL7ARQ8Dt60DHjwCzPwXEDnC3nvpHiAtiHjqPko3IDCpMWhmZb+HkpK1ogAVtV5R0Q/QV7qJ7ciEUY2XnxxCq4n3gaydxbxOl596VAyVVSiVGDz9shbdR6FUiR7Pqbcuxh1vf4rZD/5NDKmV1smUHuvX915HwbGUdu2XXKFA73ETxXbKidBJRG3DsElERE7lppCLirThGhXS6g2443AWzNa2h4WLoy7GwMCB0Jv1eGvfWw7dV2qfSUlB+PyWUfDUKrEzswJXv7sNJTUG+5XxU4B79wGLtwJTngDCh55/eKx0uRQ67z8ATH5CXFRbdwzHj7+MAwfvQHXNAf6qWslqNSEj43UYawPFeb8Q+1xNSUNaRYcMod398w/itPe4SWIeZmspVSokjhqHeY8+hTve+gQTr7sZ0QOHiHmc7TVm/tUiwGbs2428lOR2Px6Rq2LYJCIipwvSqPDJgFi4yeVYX1GDp9Ly2tVb+uCwB8X20mNLsa94nwP3lNpreIwfvrl9DAI81DhSUI2F72xFbkU9oNICfrGtezCPIMAzWPRkpqb+HTabGQEBU+Ht1f6w4UqsViOSj/4VdbUFMNfbh4x6B9l7OK1GC4zZNQ5fX1Oap3ls22axPXTmnHY/nhRWh8++Alc+/g+HFAzyCQlF/0lTxfaWJZ+1+/GIXBXDJhERdQn9PXV4o2+U2P4grxSf5LV9COyw4GG4JOYSWGwW3L/ufmRUZThwT6m9+oZ54ds7xyLcxw0ZpXVY8PZWpJ2ogtoWxSWrUVGxBXK5Gom9HucvqBVMpirs23cTCguXw1wfLC5TuymhdVeJbaNUGMhig8JHA4Wf1mHHds/qFbDZrIjqPwhBMXFd8nc2ev5VYohv9qEDyDnM3nKitmDYJCLq4qx6PfQHXOODzsxAHzwWFyq2HzuWi00V9h6Vtnhm7DNI8k1CWUMZblp9E9Iq0hy4pz2P1DsoDRfc8cN34oO11XpaoZ4Omr/53V1jkBDkgYKqBtHDeTDXXvG0NSwWPY4de05sR0fdATc3+xcWdGF6fS527V6IisptUCg8EOb/jLjcO9BNjBCQNBw/MV8zwafxsvYy6utx8Lc1YnvYZXO77K/KKyAIAy6eIbY3L/mcc4GJ2oBhk4ioiweAwqefQeY116Ls449d4sPOPVFBuDLYV+pMERVqj9c3tHkplHenv9sYOG9eczOOlh91+P52d1I1z+3Lv8VHD9yJr598GBu//BhL/v4Y3rnzBvz24VvIOXKww4JnqLcbltwxBgMjvFFeZ8TV723D1uP2tQ1bKjPrLRgMBdBqwhAdfUeH7GdPVF19ALt2z0d9fRo0mhAMG/o1rA1xZwyhlRiOnVhfs5fjhtAeWverCJy+YRGIHTwMXdmouQuhVKnFWp9Z+/c4e3eIuh2GTSKirsxshs1kEqfFL7yIvHvvg81oRE8m9Z68nBSJ4Scr1B7IQGUbK9T6af3wwYwP0Ne/LyoMFbhlzS04VHrI4fvcXUlVO99dfBM2ffUJKgryoNRoxId/rbsH6qsqsW/NSix55m94964bseGLj2CWXosO5ueuxhe3jsLoOD/UGsy44aMdWHukqEX3lb58qauz91j36vUEFIpTIYnOr6T0N+zecw2MxlJ4ePTG8GHfwdOzD6pK9I09mxJLnQmmgrrGSrSOIH1xsWfVj2J72Mw5oghPVyYteyItyyKtt2nQ248PEbUcF6UiIurCZCoVwl55GW7Dh6Ho+Rcg9/AAVPa5VD2ZViHHRwNiccmuVIzwdodO0fYPpN4ab7w//X3ctfYu7C/Zj9t+uQ1vTX0Lg4MGw9UFxyVA5+MDn+AQ9Js0FUmjx0PtphNrGWYf3I+UbZuQtnMr6iorsPPHpShKT8Ochx6HRqdz6H54alX4+KaR+POXe7E2uQh3fL4brywYhLlDwi/4xcSA/m+gqmo3vL27dg9ZV5GT+5kopgRY4ec3AQP6/w9Kpae4rqq4Xpx6B9p/v4YTQ2hVIe5QeKgd8vzHd25HVXERtB6e6HvRFHQHY668GuMWXgeV1nFzVolcBcMmEVEXJ32g9rvmGrgNGgRNXJzD5k11dYFqFVYPT0SAStnun9lT7Yl3pr2Du3+7G7uLduP2X2/HoqRFuKr3VQj3aD7Q9GTSeoI3vvKm6Mk8ey3D2CHDRbPcdjeO7diKX975H7IP7Rc9nVf87ek2LVXRHK1KgbevG4pHvjuAZXvzcP83+1DdYMKfxsQ0ez/pteHjM9yh+9JdWa1m1NQehs4tBiqV9znXS0ubpGe8KrbDQhciKenvkMtPfXl1smfT58Qw2sb1NR1YhXbXyuXidNC0S6HSdI/wptG5O3sXiLqtrj12gYiIGrn16we5m/OGCVphhQ02cVptrO60wOmocO2uchc9mmPDxoo1OD8+/DFmLpuJe3+/F9sLtrvEfNimnB00zyYFz95jL8Kip56Hm5c3ijOP4+snH0FlYYHD90WpkOPlBYNw41h7wHzyh8P432/HXPZ30xpmcy32778Fu3ZdgQ0bh2Lrtmk4cuRh5OZ9iZqaI8jPX9IYNOPiHkTv3v88I2haTFbUltvnR3sH2Xs2GxwcNhvqamGoq4VcocTg6Zc55DGJqGtj2CQioguqMpxZJXTGdzPw3z3/RXlDebc6em5KN7x58Zt4fcrrGBM6BlabFety1uHWX27FFT9egSUpS1Bvsg8lpHOH3F79j3/B3dcPlUUF+OrJh8WwWkeTy2V4anZf3HdxL3H+lV9T8c+fk/nraIbBUII9e65BecUmyGT2NSbr69NRULgMKSn/hx07ZyP56N/E5dHRdyE25u5zvsSpLtNDyvQqjQJuniqYyxtgkcKnXAZN7Lm9pG39YuOGl9/A9S+8JuZCElHPx7BJRETNyq3JxfWrrj/jslpTLd47+B4uWXoJXtr5Eorri7vNUVTIFZgYOVFUqv3h8h/EcFophKZVpuEf2/6Bqd9Nxb92/gs5NTnO3tUuR+rN1Ffbe7WlAkLfPPM3UaXT0aQg9MC0RDw5q684/97GDKSXtH0dzialrQU2/EuqMoTuyGIxiEI/R5IfxbbtM8TwWZXKXxT7mTB+JwYNfB8xMXfDz3ecWNZEEhIyF/FxDzb5eBqdCuOuTMDQGdHi+J8cQquO8oRcYw+wjiA9dkBU80Ojiajn4JxNIiI6r8Olh8U8R2npkCEYIi6TQYbXJr2Gdw++iyNlR/DZkc/w9dGvMTdhLm7ufzMiPCO6zRGN84nDE6OfwH1D78PytOX46uhXImR+euRT8XNNjJiI6/peh1Gho5y9q12CVDzIarFXBpaqc0qB84/P3sc1z/27Q57v5vGxeG9juliHs97owOVXio4A394EGKoB9yBg2A3o6szmOtTUHEJ1zUFUVe1FeflGWCz2SrESnS4egwe937jOaEDAZNEkNpsFBkMRNJrQ8w5L13mpMXjqqTVKG9IqHFqFlohcE8MmERE16XDZYdy05iYxv1FaqxKZ9qApuTj6YkyJmoLN+Zvx3oH3sKd4D75N/RbLji3DzNiZuHXArSLIdRdSAaHr+16Pa/tci015m/Bl8pfiZ1ufu1606/pch4eGPwSl3LXfNsOT+iBx1Dikbt8MD19/GMvLkfDTWhTEfYCQm2/ukOJVJ0OmVEDIIWqLgS8X2YNm1Fhg0FXoqoqKf0ZZ6ToRMO1LvJzZCyutjxkYOANBgTNENV75eV6f0tBarTasxc9rs9pgOF7l8PU1icj1cBgtEZEL2pK/BSuOr2i28Mr3x74XQXN48HB8cuknkJ/1liEFi/Hh48V1H834SBTesdgsWJG+AnN/mIsH1z94zlzPrk4uk+OiiIvw9rS38ePcH7EgcYG4/PPkz7F47eJu9/N0hPHX3CAKvEiFgqJLq+BpMKHyXy8j55ZbYMzNc/jz6U32sOmmdkDYNOmBr68BqrIBvzjgqi8ApQZdVXnZRjHvsq7umAia9nA5HfFxD2H48GUYN3YTkhKfhK/vqPMGzbYwFdbBWmeCTC2HOsK+LAoRUVswbBIRuRiDxYB/bP0HHtv0GG5cfSNSK1KbvF1ymb0oizSnUark2pzhIcPF0iKPjHhEnJeq1v6a9St+PG5fvL07ivWOxZNjnsS/J/1bzOncWrAVN6+5GRarA4dzdkO+IWEYNP1SsX08yAfJYf6wyuWo27IV6XPmoPyLL2CzWtv9PFarDbsyyzEw3BtJwZ5YeSAfB3OrYG3rFEtpn5YvBnJ3Alpv4JolgM4PXVlg0AzExPwZAwe+i/HjtmH8uM0YOOAtxMQshrfXoDb1JOfl5SE7O7vZ21iqjZC7q0RhIJmSHxWJqO1cezwQEZELknoo5yfOx7sH3hXDXxeuWIhr+lyDxYMWw0NtLyRitpqRUpEitnv79W728aTe0W0F28Tj7SraJS5TyBS4LO4yzEuYh+5uWvQ0RHlGiSVSbul/iygw5OpGX3EVjvzxOwz1dcgI9EGRlw7T1T4wHjiIon88i5rVaxD63LNQR52aA9gSJosVOzLK8cvhQqw+XIiiakPjdf/8+ag4vUFjH0za6py1/nng8DJA6gFc9DkQYK9225UF+E8SzVFKS0vxwQcfwGq1YtCgQbjkkkvg1sRySm69/aB9fBRsDfb5uUREbcWwSUTkYlQKlZhTeVnsZfjXrn+JHkipGM6qjFX4y/C/iDmXGVUZogdUp9QhyivqvCFzQ+4GETIPlB4Ql0lzGqWA2d0KBV1Ikl8Sls9dLno4SSom442Rcxdg45cfi8NRr1GjdOEV6DXnchT/+9+o37kT6XMuR9AD98P3uusgUzQf0LeklWLJrhz8frQY1acFHA+NElP7BCHa3x37ciqxN7vi7GmLLbPvK2DDS/bt2f8BYi9yyV/jhg0bRNCU7N+/HxkZGZgzZw4SEhLOua1MLoNMd2odTiKitmDYJCJyUaEeoWKIqFQQ5/ntzyO7Jht/3fhXfJf6HYYEDWns1ZTmMTZlTdYaPPzHw2Jbo9CI+Y039LsBIe4h6IkYNM809NI52PfLStSUlojzKTu2YNSL/4XHpIkoeOL/UL9tG4qefwHVopfzOWjiYs85pnuyK/DymhRsOV7WeJmfu1oEzBn9QjC+VwA0SsUZQ2ufeWZb63s1MzfZT8fdDwy5Dq5I6tU8ePCg2L7sssuwdetWlJeX4/PPP8fw4cMxbdo0aDRdd/4qEXVPDJtERC5OKvLz/eXf4+PDH4vKstJQ2JPDYfv49znv/S6OvBjx3vFizUqpkmuAW0An7jU5m1Ktxvir/oRVr78izpdkpqM8Pw9+ERGI+uhDVH6zBMX/+hf0e/ciY948BN57D/xuvFH0cqYU1uDlX1Lw65EicV+1Qo6FIyJw+eBwDI3yhUJ+Kk3q9Xmw2cyioqpMJodcLvXMSdfbYLE0QKHQXnhnL38dSJgC9O3+w7rb6o8//hCjEZKSkjBixAgxjHbt2rXYsWMHdu3ahePHj2P8+PHo06cPdDqds3eXiHoIhk0iIoJaocbtA28X8yxf2vESfs/5XRyVfv79mh2Ou+zyZeft+aSer8+4idj/y8/IT7UXk0rZugFj5l8tCtf4XrUIHhdNQMH/PYm6zZtR/K+XUbpyFb6efCM+zpdBKoQsZcr5QyNw39ReiPBtOuDsP3Ar6upOL2J1qmcyJ+cjxMTcdeEdlbpC+8+HqyopKWns1Zw0yT4HVK1WY+bMmejduzeWL1+OiooKrFixAitXrkRcXBz69esnrmtqTicRUUsxbBIRUaNwj3D8Z8p/xNDag6UHMT1merNHh0HTtcnkcky9dTE+feQecX7Lki9E2DxJFRaGyPffQ9WyZcj/5wuwHjmMeUf/ivqk6WiYPQ9/vmwQegV7NfscCoUbFAp32GwW2GxnVrmVejqpZb2aEik8hoaGnnGdFCwXL16MnTt34vDhwygsLERaWppoUviMj49vDJ5abQt6kQn5+Uvg5ze+VWubEvVUDJtERNTk0FqpEV1IYHQs+k+ehkPrfhXnC48fQ0j8qUqvUi+nz/z50I4dhxU33Iv+2QdxY/IqIHkVLP/R4Ji/H5R+/lCcOFX6+0Fx2ukA/2ehiPSHMihIPNbGDc80PnZU1G0O/wUVGkxYXlSBcK0aE/084XXanNHuqLi4GIcOHTqjV/NsUoicMGGCaNLcTil0Sk2677Fjx0RTKBSikNDIkSNFAKVzSV+IpB57Drm5n8DDPQnDhy8VX5YQuTKGTSIiImqXyTfc1hg2d/30PWbdZ19v9XTa0BBMW/45ZGtXo/jlV2AuLobNYIA5v0C05sjUaiTt33f2pQ7v2fytrBr3JGeh3GRfS1UpA0Z5e2Cqv5doCTpNm9a27Aq9mtJczJCQCxfvCggIwMSJE0WTht9KoVMKq1IITUlJEYGTYfNcZnMtDh2+D2Vl68X54ODZkMvZE0zEsElERETtonbT4ZLFD4ilUJJGn79H3EenBubMgfecObDq9bCUl8MstdJS+3ZZOSxlZeKy009lmo4NeSarDc+nF+DNnGJxvpdOI1ZYSas3YHNlrWjPHM9HtFaNf/QKx/QAb3QHRUVFIixKpPDYWoGBgaI3VGpSL6f0WFJopTM1NORj//5bUVuXArlcg759X0Fw0KU8TETs2SQiIiJH6DfxYtFaSu7mBnl4OFTh4Re8rVRF1ZGO1TXg2fR8ZOqNMFttqDJbUGqyr+95c3gAnowPg1YhR0a9AWvLqkXbWlmLrAYj/FTKbter2bdv3xb1ajYnKChINDpXSuozImiq1YEYNPBdeHkN5GEiOqH7/MUkIiIil+SoXk2LzYa3c0rwUkYBDNYzA6y3UoF/947EZYE+jZfF6jS4TReI2yIDUWe2YGNFLYZ4dY9lQdLT03HkyJFm52qSY/Tu/RyOHrUhKfFpFgUiOgvDJhEREfV4WXoDFh/Jwu7qenF+sp8n7owMglYug0omQ4K7ttliQO5KBS4J7B7DZ6XKsqtWrRLbAwYMYI9kB9OoA0SPJhGdS97abxabaic9+uijzV7flsds621GjRrV5HVN3YeIiIi6GRtQX21s8c3vTc4WQdNTIRc9mF8OjBPVZkf5eGCot3u3rzorMZvNjWtlWq1W9O/fH7Nnz3b2bhG5JOYmB/ZsSgdTmk/x0ksvNXt9Wx6zrXbs2NEhj0tERERdgA345LHN6H9ROCYsTGz2ppUmM3ZU1YntVcMTkaDrelVCpSGv0tqWMTExotqru7t7q+5fW1uLJUuWIDs7W5yfOnUqxo0bxy/ViboYmYvlplaFzaae7GTPoNSrefbtWtJrePZj+vv7o7y8vMXPfzZp/afzHTAiIiLqOaxmGxSKCw/SkqrJ2k5Ume2KQVNaVmTp0qWwWCzYs2ePuCw8PFwsMxIREQGj0Qi9Xo/6+npxer5t6XOSRqPB/PnzkZjYfAAnoo7F3NTOns2zQ2FT6Vw6yK0dpnq+oCk5+7Ga+iW2JGiyd5OIiKgbO/H2L5PLMGByxAVvvqG8RpxO8PVEVyN9lpGGvkpBU6r2Kn1GkZYsycvLE621S5UsWrRIrJVJRF2HvwvnplaHzaYOQlsOjiOc/sOfvg8cJktERNTzxQ8NhKffhXsqN1XUitOL2hA2pcJCH+aVwk+pFHM8B3i6QeHAzzx79+5FVlYWVCoVrr76avj6+qK6uloMqT127Jjo9XRzc2tsOp3uvNseHh6Qy1tVjoOIOpCMuQkyWyuTWWuHxrYmAJ7+2M3dvqW3a2ofzvdLb470R9/b2xt//etfodV2veE3RERELkV62z751n2BbGU963xrotjZ922K7MSutCXinf35g0ULibqHhoYGvPDCC6iqqoKXl9d5bydzwdx0tlb/bZSe4PTmKK05EO15XmlOJxEREXVjshOfYOQtu+nJJm9llpW1oJ18DlsLGxG5DhtzU5u+iGvSI488cs5lLf2Grq2Juy22b9/e5vsSERFR92FtQ9A7+z6nB8+WBsqWhE32araD7cQvqiVdz0Rd0CMulJtaNYy2uZ290LzNsyvUtqRibWtu05L9bqqbujXDaC/UVU7UkZ555pnG7aeeeooHmzodX4PUXV6HO6vq8FZ2MVaVVolcopQBPw9LxEBPXbOPvbSwHA+n5qLeYoW/SonX+0Rhsv/53/erTGZUW6xwV8hRYjSj0GBCgcEoTvMNJnEqLjOaUGY0I2PiQGjkchgMBrz55pvic8WYMWMwY8aMdhwR1yJ9Zlv/ZQqObMyH9FGu95hQjJwdCw/fzpvmxL+F1JJs4Kq5qUPW2Tz5pFJKP191pY7AQkBEREQksdhsWFNahTezi7Grur7xoEzz98I9UUHNBk0pND5+LA/fFVWI82N9PPBm32iEaFTNHlxvlRLeJ27ip1Iiyf38gcdktUEBG+rq6rBu3TrxIdXHxweTJ0/mL7AV9q3NEUFTIn28TN5SgNSdRRg0JRJDL4mGxs0hH22JOozNxXJTu9fZPN2LL74oWmseoyU/eHsPTlP3Z1AlIiLq/vQWK5YUluOdnBKk6w3iMrVMhitDfHFHZFCzAVDyR3kNHjiaLXoipblFD8QE48GYkHZVnK2pqcH+/ftFoJS2T7ba2lpYrafGfs6aNQtqtbrNz+Nq0veVYMuyNLE97soEhMR5i/MFaVXYsyYLhzflYfilMRgwMQIKFavyknMxN9nx6x8iIiLqdqTI9nJGIT7MK0G5ySIu81YqcGN4AG4OD0DwBXol6ywWPHu8AB/llYrzsW5q/LdPNEZ4u7drv6RlTL799lsRLM/H3d1dFCxMSEho13O5kuKsavz64WExX7P/ReEYdHGkGNo376GhyDxQiq3fH0dFYT02f5eGA+tyMWRaFNw81ZDJTw0B1HmrERLr7ewfhcilMGwSERFRtwqZJ/scX84sFKcRWhXujAzC1SF+cFcqLvgYu6vqcE9ydmNP6E3hAXgiPhTuigvft7lejJ07d2L16tWi9zIwMBB9+vQRa196eno2Num8oh3P05NJx1BfY0J1qR5VJXpxWl1i3y7NrYXZaEVUXz9MWNSrMUBKp7GDAhHd3x9HtxZix4p01JQ1YMPXqec8vnSbWX8e5ISfjMh1MWwSERFRlyfNq3wwJQcRp1020MMNi6OCMCvQB0p5y4e9/lhcKYJmqEaF13pHYaKfZ7v2zWQy4aeffhJDZyX9+vXDnDlzoNFo2vW4rmLTd8eQc6RchEspUJ5PYJQnZtzWH3LFuUNkpcv6jg9Dr5HBOPB7DnKSy2Gznlh64sSpT0jzBaKIyPEYNomIiKjL81QqcKzOcEbYXDM8sU1l/f8aFyrCqVQ4yEfVvo9CFRUV+Oabb1BYWCj2Zdq0aaLCbHuWG3A1tWUNKM+vE9vSYZMqy3oFauEV4AYvfzd4B7nBO9ANAREeTQbN06nUCgy7JEY0InI+hk0iIiLq8uQyGV5MisDq1fZhtKK1MdC5KeT4v/iwdu9TWloali5dCr1eD51OhwULFiA2Nrbdj+tqBk+LEr2SUrj09NdCoWRxH6KegmGTiIiIuoUxPh74pYvMLdy0aRN+++03cT4sLAyLFi0S6+5R60lVZYmoZ2LYJCIiImqhhoYGLF++HEePHhXnhwwZgpkzZ0Klar76LRGRK2LYJCKiHslgtqCoygC9yYKGE61PmBe8tAwF1DYlJSVifmZpaSnkcrkImcOHD+fhJCI6D4ZNIiLqkVILazH79U1nXLbkjjEYGevntH2i7is5ORnff/89jEajWMJk4cKFiIyMdPZuERF1aQybRETUI7mp5dCpFdCqFNAq5eJU0YrlMU7OzbNazFAo2RvqqsxmM/744w9s3LhRnI+OjhaFgKT1MomIqHkMm0RE1CMlBHniyN8vafX9aivKkX1oP7IO7EX2wX0YcukcjLz8yg7ZR+q6ATM9PR2HDx8WczMNBoO4fPTo0WJpE4VC4exdJCLqFhg2iYjIpRn19chNPoysg/tEwCzLzT7j+pwjB106bNpMJshcoPiNxWJBRkaGCJjSkFmpENBJ0rDZ6dOnY8CAAU7dRyKi7oZhk4iIXIrVYkFBWqrotZQCZsGxo+KyRjIZgmPjET1gMKIGDEZYUh+4qvqdO5H/2OOIfOtNaBIS0NNYrVZkZWXh0KFDImDW19c3Xufu7o5+/fqJJs3NlAoCERFR6zBsEhFRjyLNs8w5fAA2qw3eQcHwDAhAZVEhsg7sQ/ahfeI6o15/xn28g0MQ3X8wogcORmS/gXDz9IKrq9u2HTl33QWbXo/Sd95F+L9eQndnMplEJVmpqmxOTg6OHDmCurq6xut1Oh369u0rAqY0N5MBk4iofRg2iYioR8nYuwvfv/hMs7fRengiqv+gxt5Ln+CQTtu/7qBuyxbkLL4btoYGuI8fj9B//B3djV6vF/Mui4uLG1t5ebn4MuJ0Wq0Wffr0Qf/+/RETE8P5mEREDsSwSUREPUr6nh3iVOvuAbPJBLPRAIVKhfDe/US4lFpQTBxkHBbZpNqNm5D75z/DZjDAY+JEhP/3P5BrNOgupDApzbv8+eefzxgWe3q4DAoKQnBwMHr16oW4uDgolfw4RETUEfjXlYiIepTswwfF6YzFDyB+2Ejoq6ugdtNBqVY7e9e6vNo//kDuPffCZjTCY8oUhL/2KuTd6LhVV1dj5cqVSElJEed9fX1Fb6UULk82ackSmax1S+AQEVHbMGwSEVGPUVNeior8XMhkckT06SdChc7bx9m71S3U/L4OeffdJ6rPek6bivBXXoGsmwRNqTdzz549+OWXX8QyJdJcywkTJojGXksiIudh2CQioh4j50SvZlBsvBhGSy1Ts3Ytch94UKqgA88ZMxD+8r+6zXInUtCUQubWrVvF+fDwcMyZM0cMkyUiIudi2CQioh5DqjQrieo/0Nm70i0Y0tJQ9t77qPrpJ2mhSXjNnImwl16ErJvMYZSWLpHmZu7atUucv/jiizFu3DhWkSUi6iK6x7sJERFRC5iNRsgVSrF8CZ2ffv9+lL77Hmp/+63xMu/5VyD0mWe6TdCUejR/+OEH7N+/X5yfPXs2hg0b5uzdIiKi03SPdxQiIqIWuOzehzH9jnsgVyh4vJoIZ/Vbt4qQWb9tm/1CmQyeU6fC//bb4Tagf7c5ZieXL5GCpjQvd968eRg4kF8wEBF1NQybRETUo6g0WmfvQpfUcOQIsm++xX5GqYT37Nnwv+1WaOLi0J2cvk6mVAhowYIFYp1MIiLqehg2iYiIXIBbv35wnzAB6pgY+N90I1RhYehujEbjGeevvvpqsVYmERF1TQybRERELiLy3Xe67RqTNTU1+Prrr8+4jEGTiKhrY9gkIiJyEd01aBYUFOCrr75CdXV1t/9ZiIhcCcMmERERdVnJyclYtmwZTCYTAgICUFpayqBJRNRNyJ29A0RERERNFQLauHEjvvnmGxE04+PjccsttzBoEhF1I+zZJCIioi7FbDZjxYoVjWtojhw5EjNmzICCS9oQEXUrDJtERETUZdTW1orezJycHNGLeemll4qwSUSdM6LAcLwSdTsK4XtFL8i1jArUPnwFERERUZdRV1eHwsJCaDQaLFy4UAyfJaLOU/ljOszF9VBHecFzfDgPPbULwyYRERF1GcHBwVi0aBG8vb0RGBjo7N0hcinSaAKPsWGoXJ6Guq35YlsmZ+VnajsWCCIiIqIuJSEhgUGTyEl0Q4Ig0ypgLmtAQ2oFfw/ULgybRERERERkDwcaBdyHh4jt2i35PCrULgybRERERETUyGNMKCADDKkVMJXU88hQmzFsEhERERFRI6W/G7RJfmK7bmsBjwy1GcMmERERERGdQSoOJKnbXQSrwcyjQ23CsElERERERGfQJPhAGegGm8GC+t3FPDrUJgybRERERER0BmnJk5O9m1KhIJvVxiNErcawSURERERE59ANDYJMo4C5VA9DWiWPELUawyYREREREZ0bFDRKuA8LFtt1uwp5hKjVlK2/CxERERERuQKPcWFQhbpDNzjQ2btC3RDDJhERERERNR0W/N1EI2oLDqMlIiIiIqI2qTHWIK82DzYbCwjRuRg2iYiIiIioTTbkbsAlSy/BnWvv5BGkczBsEhERERFRmxwpOyJOozyjeATpHAybRERERETUrrDZL6AfjyCdg2GTiIiIiIhazWqzIrk8WWz39e/LI0jnYNgkIiIiIupkVoMB+kOHu/Vxz6rOQp2pDlqFFnHecc7eHeqCGDaJiIiIyKHqLVbUmS08qudhyMjA8WnTkXPrrbDU1nX7IbSJfolQyrmiIp2LYZOIiIiIHGZ7ZS2GbTmM0duTkaU38Mg2QR0ZCbmbGyyVlaj4/PNuHzb7+nEILTWNYZOIiIguqH7PXtT+8QeM2dmwWdhjRU07WqfHov3HUWG2oMRoxo0HM1DH18s5ZEolAv58t9gu++gjWGpqunfY5HxNOg/2dxMREdEFlX/yCWrWrBHbMpUK6phoqGNioY61N01sDNTx8VB4evJourDcBhMarDa4K+TQKeRIrmvA/ck5eLdfNGQymbN3r8uw1tej4bA9qFmrqlC/cyc8p0xBdy0OxEq0dD4Mm0RERHRBqohwaBITYczKgs1ggOFYmminC7j3HgQuXsyj6cJGeruLYXN1FiteSYrEPcnZWFFSif9mueG+mOAOec7qUj28AtwueDtzaSkqvvxKBD3pCxPR1NKp+rTtk5efuOxEU4WHQx3lmHUka37/HYXPPgtzfoE47zltGtzHjm32PiZDA0qzs1CSlYHirAxYzSZMv+NeOFN2dTaLA9EFMWwSERHRBQU//DDw8MNiCK2poADGjAzRpEInxoxMsa2JYzVKV+elVGCIlw67q+vRYLXin4nheDglFy9kFKCvhxbTArwd+nzp+0qw+t1DGHRxJEZcFgO1tumPtnXbtiPv4b/AUlLatieSyRD63HPwuWJem/fVlJ+Pwuf+idrffhPnVWFhCP6/J+A5eXLjbWw2G2rLy0SoPBksSzLTUVGYL13ZeDulSo2pt94NuUIBZzlcZq+ky+JA1ByGTSIiImoxmUIBdUSEaJgw4YzrpA/KRBN8PUXY3FRRi9f7RuNgjR6f5pdh8ZEsrBqeiASd1mEHKTelAjarDft+zUbariJMWJSIuMGBp16TFgtK33kHpa+/AVit0PRKgMfEibCZTKea0Xja9rmXW+vqRI9+4dNPQ5OU2Op9lB6j/LPPUfL667DV1wMKBZSzZkI/+SIcLC1A7Tv/RU1ZaWMz6uubfBydtw8Co2Mbm81mBeC8sMniQNQSDJtERETkEJyTR5Lxvh54LasIGypqxBcQz/YKx9G6BuyoqhMFg34elih6QB3hokWJiOrrhw1fp6KmrAGr3j6ImIEBmLCoF3S2OuQ/8gjqtmwVt/WefwVCnnhCVIFtDZvVitzFd6N2/Xrk3XsfMH4cIG9Zjc36vXtR+PQzMKSkiPMVnjocDPNHbeYR4CP7nM2zyeRy+IVFNIbKIOk0Jg7uPr7oSlgciFqCYZOIiIiIHGa4lzu0chmKjWak1huQ5K7F+/1iMGN3KtLqDfjzkSx8PCAWcgcVDIoZEIDwJF/s+jkT+37JRuaBUuQeKUVs7i8IT9kOhZsbQp56Ej5z57bp8aXwF/biC8i4cgFMOTn2C6Ve/Gb231JVheJX/o3KJUvEebm3F44E+yJdq4DG3QMBAYHw9POHh38APP0C4OkfcGLbH95BIVCq1eguxYFYiZaaw7BJRERERA6jVchFoaANFbXYWFEjwmaQRoWP+sdi1p5U/FJWjT/KazC6MAdVS5fB+4oroO3Xt1094yq1AmPmxiNxeBB+e/UPlNTpcCxkOgr8h2LSn/rBZ2K/dv1MCm9vRPz3P8i86upmbyf15FavWIGiF16EpbxcXCb9fAd9dUjftRV+4ZG4/oX/dGqYtNpsMFptMFitMFhtYi6t0WaDdLTj2zik+WRxII1Cg3ifeIfvM/UcDJvUYaQ/uD8UV0Ijl2Gsjwe8VXy5ERERucq8TSlsbqqowa0R9jmUnko5zFKHIIAEdy0qv/sOlV99jYovv4QmKUkU3/GaPRtKP782Pae5rAx1Tz6C/lu2oDBkNI73WYRaVQB++qoIQ8s1GDMvoV0/k7ZPH4Q8/TSwb6/9Aqs0Z/KUhpQUFP3zedRv3y7OS0sBhT79FAoVwKEXn0Ffn7EYNG92hwbNTL0B8/emieVnjCfCpRQsm9JLp8HGUX3aVRwoyS8JSjk/39H58dVBHeargnI8mGIfbiLNbBjoqcMEXw/xBjTC2x1uipbNdyAiIqKuocRowv4aPQ7U1IvCP+l6A9QymVhT82Rzk8uRWt8gbr+6tBqvZRbCQ6nAlopacdnF/l6I1KpRd8mlsFZVo2btWjGnsej5F1D08ivwnDQJ3lfMg8eECZApm/6oarEYUFd/DDq3WCiV7mKdyryH/gJzcTHkWi2G3jsHY6dfjC3fpyF5cwH8Qt0d8vP7zJt7KmxKVW63bkX9nj2oWb26cSkgmVaLgMWL4X/jDTCYjPjtoXswOnA2oj36AutrYR1mglynQkeQgnyewdTs9dIQZ41cDo92VrKN847DgIAB7XoM6vkYNqlDVJrMeDY9X2wHq5UoMpqxr6ZetP9lF4s3pld6R2JBSNu+vSQiIqKOVaSvwcFDd+OY+zXYak7EgRo9Co3nDzLn80JG4RnnbwjzF6fuo0aKJs1vrFq5UgypbTh8GDW//iqaIjAAPpdfLoahnr6sTln5JqSk/B/0+mzIbCoEbAiH6tsCabwo1PFxiHjtNWh69RK3nXJ9HwyYGIGASA90hOybbj51RqUSy5gEPfKwvVozgM3vvo+R2kvgrw0D5DJ4TY9pd9BsaMhHXv7X0KiDEBFx3RnXhWhUWD0sUYwq08rlUJ8IllLAlLZVMplDCnldFneZaKxATRfCsEkd4l8ZhSg3WZCo0+K3EUnim9BNlfa5G1Ip9AKDCXFuGh59IiKiLia93oBXMgvhXvgyZmAzAmqSsQ5vwCRT24fA6jQY5KnDAE83MR/TYgPqLVborVZxerK9nHkqZM4O9BGXSfed4u91znxIv2uuEa0hJRVVy5ah6scfxZqYZe9/IJrb4MHwuHw6ihL2oLDmZ/v9atXw/tgK1RH7l9v1oywo/VMZDKb34F90Efz8xkGl8kVglKdjD5BUifbk0FSVCu5jx8DrkkvhefEUKLxO/WyZ63chMjMaOq0XoJEh4E/9oY33affTSyE7M/MN6HQJZ4TN0uxMJG9aj1FXLIJa27qKu23FCtR0IQyb5HBHavX4KM++aPJzvcKhkssQplVjYYifaNK3YMf1BsRoGTaJiIi6iiy9Af/OLMJ3ReXoY92Pv8Ee6o76PoynAmMxwMMN/T3c4N7CZUv8VAo8diwP43088F7/mBbdR5uUCO3f/oqghx5EzR9/iN7O2o0bod+3TzSobPAZooT76NGQf50BS3EJoFHCdFMMqgelw2orQUHhUtGkQaNeXoPg73cR/P0nwMtrMGQyB03hkXoHbTYkbt0Khce5Q3RrDhQAq6qhU3rBoDYg+p5xUAY4JgBarPYhygr5qc9R0merdZ+8i+xDB3Bkw++46Lqb0XvcRIZBcjqGTXIo6Y/dY6m5kKbMzwr0xgQ/zya/BXPkgs5ERETUdrkNRryWWYSvC8tEAR93Ww3ulb8B6c08PPw6/F/SwnPuk763BA11JiSNCYHiPDUYpBoNkp3VddBbrKJWQ1FmNcxGC8ITm18zUqZWw2vaNMjHxqB4axFMvx2EbosCqiIZdDtksO3YAYtUhCcuDuGvvQptYqKYx1lVtQtl5RtQVrYBdXWpqK7eJ1pu3ueYMN5euMdh5PImg6ak5NvDUMs0KDXnoc+js6D0dVxPo9VisD+94swv7YfOvBxVJcWoKirEz/97Gft++RlTbroDwbGsFkvOw7BJDiVVn91WVQc3uQxPJ4Tz6BIREXVRBQYj/pNVjC/yy2A6MSx0sq8H7rK9A1NFGXS6OPRK+Os597NYrNi89BiqSxuwe00WRlwWg8SRIZDLz5wLKA2ZDVGrxDzPnVV1SCiz4P/buw/wtup7/+MfSd5O4tjOMNk7kJBACNiUEQphlFIotIwCtxQosy3QW/7YaekCOrChzb2lhUIpZVwo9LaMS4GyZyk2JSSQBAIkhOxlJ87ylv/POUFGViRZko+kM96vPOeJrHl0fHx0Pvr+xmPz31Yw2K3JhwzXnK9NUUFx7P6LKz+5XStWzFe3v0P+EwrVecTR2vLkTk1TofT2Ig046ihV/PBa+Yv3BL5AIN9sOmsskyd9X62t69XU9JoZPvNyy62ravZh9eJFCrTnmKPxlJ0xVfml1vYXDX5a2fT7C3p9kT9xdpXGzpilt554VG888pDWLVuq+7//n5p57Ak6/Kyvq3Bg7+bLQCYQNmGZjmC3bli+p9/EFWOHa1SBvSckBgDAi7Z2dOrXKzfo3nWN5tQYBqOp6zXjKzSm9TktXfqMfL4cTZ/2KwUCUSpyQWnG50dpwdOfaPvmFj1/93t666lPVPml8Zo0e5h8n4ZOIwBdP3mkSnMCmq4cPfqHRWbQNHz45kat+2Crjj5vP42dvmfAoHBGlXL58rqen4sKx2pFw4fauN2n5e0BjTj2cB12xpnyFRXFfJ8FBftoxIgzzCVTOlpb9cIdd2hu0dfMn0fPPsDy1wgG91Q2A2FhM8SYVqXqtDO135FH65X7/6Rlr7+iRc8+pd3NzTrl6h9Yvi5AXwibsIzRN/OP+4/Xras36Vujh7FlAQCwISPvPbC+yQyaVSXFqh5focM/bfK6aNET5v/jx12hQYNmRn18INevA48do2lHjNDil9dqwTOfaNvG3Xrmj0v076dWqvLk8Zpw4FAzbJ4ybLC6OoN69NcL1LK9XWUjinXkWVP08gPLzMf8/ZZFmn7kCB321UnKK/jstNSoUs6YcatWr75b27Y1aOeu9zXsYGnY7ICaVw7Qpnd2668/W6pR++2vw844R6OnR1/XTHvtofvU0bRLKpJ8hQH5cqyppr6+9nUt2LTAnG6krHO9+Tv0B2J3SRo0ZKi+dFW1Djzui3rpvjt12JnnWrIeQLIIm7DUgYOKdMf0xAYBAAAAmVeel6MbJo/UyPw8zSkd0GsQmZkzf6/16x9RRcWpfT6PEQ4POmGs9p8zUoteWK2Fz61W07pd+sfti82pRqpOnqCxM8r12v9+qA0rtiuvMEcnXjZDg4cV6cxrD9EbjyzXOy+u0ZJX12n1e02ae/40jZj02Witw4aeYC4tLWu1cePj2rDxUe3a9aFKxjerZNChevex9Vrz3mL95fofaPS0GTrsjHM1atr+ypa17y/Vgqf+T8MLxpo/Bwb1fyDE1dtXq/bNWr285uVe1xf4CjWx+R0dr7t07JhjNWbQmKiPN7bHub+Yz0BByBrCJgAAgMecs8/eTVcNPl9AI0acntRzGSHykJPGm01rFz2/2ly2rN6pJ259R6UVRdq6Ybd5v+MumGYGTUNuXsCscI4/YIiev/c9s//nI79aoFnHjlHlKeOVk/vZiLeFhSM1btxlGjv2Uu3c+b4ZOscd+S1Vzu1Qw6P/q3eff1qrl76rh66bpzH7z9TnjNC573RlUkd7m57+/X+bI9ROmlYpNRlhM/XuRLs7duvOd+/U3UvuVkewQzm+HB0z5hht2LVB7zUuUWt3l5bsaNKSt+Zr/lvzNbl0shk6546ZqymlU3qFS6YnQTYRNgEAANBvxmA/VadM0MxjRuntZ1bp3RfX9ARNYxChcTOH7PWYUfuW6Ws/qjKrn++/vl5vP7tKnyxp1LHnT9trfkwjNA0cuJ+5GHLLpLkXXq5DTjl9T+h84Rlz6g9jGTPjQLPSOXLqnvum2z8fvE9b169VcWmZphxwmHa/uF6BAXkpjer/zCfP6OZ/32wGS8Pn9vmc5lXNM5vQGt7/sFYNy/+gbUWHa3Frvt7c8KY+3Pqhudy26DaNHjh6T/AcO1czhsyQP0MDIwHREDYBAABgmcIBeTrsK5PMfp1G81pjlFqj8hlLfmGO5p63nyYcMEQv3r/MbIr71xv/rYNPGqfZXxgrf4ypVcL7Jx570bdU+eXTVf/IX7T4pWe16t2F5jJ25iwzdI6Ysm/afsMrFrxpjgBrOO7ib8u/bk9V0Z9kZfOjrR/plw2/VMOGBvPnEcUjVH1ItVnRDK9O+rvbNTKvW4eN3F9XTrxGzW3NZjPb5z55Tq+ve12rd6zWn5b8yVyGFQ4zH3/s2GM1e/hs5fg59UdmsccBAADAckWD8vS5UxOf43H8AUNVMbHEHDxo+YLNanj8Y618Z4uOvWCaSiuiz2cZbtDQYTruku+o8tQzVP/IQ1ry8vP65J23zWXcgbPNgYT2mTRVVtrRuEVP3TrfvDzrxJPN6Ucal71n/hwYmFjY3NG+Q7cuvFV/fv/P6uruUn4gXxfuf6Eu2P8CFeYUxhyNNjT1SUl+iU6ZeIq5GM1vX1v7mp5b9ZxeWfOKNrVs0oPLHjSX0vxS/fLIX+rwkYdbuAWA+AibAAAAsE1V9ISL9zenRnnlwQ+06ZMdeujnb5qhdebRo3qmVYmnZNhwHX/pleYUIG88vCd0rlz4lrnsf/TxOuGyK61Z2e5uPfGbm9S6Y7uGjZ+oOedeaF5d9rV9FTy5o8+RaNfvXG82mb1r8V1qam0yrztm9DG65pBrNGrgqJiP6/p0ns2Af+8BiIpyi3T8uOPNpb2rXW+sf0PPr3peL656UVvbtuqal6/RQyc/ZDa1BTKBsAkAAADbMJqMTqms0IjJpXrxvve0ammT2adz5btbdPIVB/TZrDakZFiFTrjsKlWduid0Ln31BQ0dG7s5b9K6u7X2/SXKKyzUl75bo5zc3D3r7/fFrGqu2r5Kz37yrNnkdXHj4p7rxw0ap3mV8xKqOvZUNuNMfWLIC+Rpzqg55vLDqh/qgqcv0KLNi3T1S1frvi/eZ1ZQgXQjbAIAAMB2BpTm60tXHGBOjfLPv32kIaMHJhw0DcFgh9au+7O2b1+kiceVa9ycozRwcLuaml5Xfv4w5eUNVU7OoNRGa+3u7rl47MXfUWnFiJh3XbFthVnBNALmsq3Leq73yaeDhh+kE8edqK9M/opyA7mJva+uPZVNf5TKZizGc9981M064/Ez9F7Te6prqNOPPvejhB8PpIqwCQAAgH5r7ejS/fWrzP9b2ru0u71LLR1dPT8PH5Sv676c3DyYRhA05vEcvV+ZigcnPuBOc/MCvb/sR+ZUKb1s6v2jEdiM0JmfN1R5+UOVlzes57Ixx2du7mfzfvYIBo0VMy/OOOZ47Xf4UXHX5Za3bzH7UBoCvoAqKyrNAXuMgXuGFO49Qm9fPmtGG7+yGamiuEI3HnmjLn/ucv3lg7+YQfekCScl/fpAMgibAJBtrc3S4oel9l3SYd/J9toAQEo6g9264e9LY94+YWjfg/zEUjJ074FyounoaNby5Tdp7boHjfKjcnIGa9Soc81qYFv7ZrW3bVJb+xa1t29SZ+d2s0lqa+sac4lUOvjQvcJmtxE0wxx9/iVm01ijX6Qx0qsRJo3/c/25PT/vM2AfTSufpoOGHaRZw2ZpcP5g87Z1O9dp4+6N5hyaPff3B8yfjcu9Ft+e2wzBT8NmaICgZBjNdC+ZeYluf+d2Xfev67Rf2X6aMHjPlCpAOhA24RrmB0BXl3yf9pkAHMMImX//ruQLSId+yziDyPYaAUDSCnMDOvmAESrKDagwL6CC3ICK8gLm9QV5AZUXJz/vZDLzU27Y+Jg+/PAX6uhoNK/bp+KrmjRpnvLyyqI+pqurVe1GAG3frLa2zWpr32SG0fb2LeZlo6ltpIb/+1uvn3PzC/TRxo/067d+3ec6Lm1cqv95739Sfo9Gs1sjcPq7u+RXofI3/lS5gRt7wqjxv1Et/c/Z/xn3eS4/4HIt3LRQ9Rvq9b2XvqcHTnrAHFgISAfCJlyhs6lJ6+bNU/6EiRo+rybbqwMkp+jTZlTdXVLrNqko+okRANhZwO/TLWfPsvQ5N256SitWzFd3d4dyc0vNSmNuzmDlGP/3/DxI69b/VVu3vm4+pqhokvader1KS6vir2+gQIWFo80lEcGuLi1/8w0pZ8CeKz79YnB48XBz2pGOYIe6gl3qDHaqs7vT/N/42bg+/Ofw23uWKLdH6la3edsePrW275RkLJ/Z0rKlz/dhBNYb59yoMx8/U8ubl+uGN27QL474RWp9V4E+EDbhCi3vvKNdr7xqLkWVlRp4zNHZXiUgcTl5UvkkyRgZ0KhyEjYBeJxRdfzwo59r7doHeq5raVkV9zFG/8vx467QmDHflN9vfRXVHwjozJ/eqJ//7Ge9rp9ePl0/P+LnlldqjcDZEz7DAunylbdpd+sG7TPiHOXmV5jXmYE22KmygsS+rDT6itbNqdNFz1ykv6/4u2YPn63Tp5xu6XsADIRNuMLAz39eZd84T0333Kt13/++JjzysHJHxB4ZDrCdK97K9hoAgC3s2vWRFi++Ujt3GSO3+jR27KUaUn60Ojq27Vk6t3562fi/2fy/IL9CEyZ8V4WFY9K6bub0Jhno6mBUGXN9uWZfzkgV06+z5DUOrjhYV8y6Qo9+9KhmDp1pyXMCkQibcI1hV1+t3W8tUOvixVp79f/T2Hvvof8mAAAOYVTz1q//m5Z98FMFgy3KzS3X9Om/VnnZEdleNde6YP8LdPa+Z9NnE2nDKBRwDV9enkbO/7X8Awao5e23tfmW32Z7lQAAQII+WXWH3nu/xgyapaWHqaryCYJmmvl9foIm0oqwCVfJGz1a+/zsBvNy4x13aOerr2V7lQAAQALaWteb/+fn76MDD/iT8vOHst0AhyNswnUGfeELGnz218zL62pq1LEpYgZnAABgO2PHXaZAoFhtbeu1YcMj2V4dABYgbMKVhhvToEydqi5jSpRrqtXd1ZXtVQIAAHEYg/yMH3+lefmj5XXmIEAAnI2wCVfy5+dr5Pz58hUVaXd9vbbc9vtsrxIAAOjD6FHfUHHxZHV0NGn58pszvr127typlpaWjL8u4FaETbhW/oTx2uenPzEvb/nd77TrjfpsrxIAAJ4daTYRfn+uKoafal5eu+5BtbVvUSa9+uqruummm/T6669n9HUBt2LqE7haySmnmCGz+eGHte6aazT+0UeUU16e7dUCAMBTmppe07uLv6P8/Arl5w9Tfv7wz5Y84/9hyssbpjVr7tGq1X80HzNo0Ezl5gzM2DoGg0EtXbrU/L+ccwXAEoRNuF7FD69Vy6JFal++XOtq5mn0HbfLl4EJmQEAwB5tbRvV1bVTu3d/ZC59GTXqG5o8qUZ+f37GNuGaNWu0Y8cO5efna+LEiRl7XcDNCJtwPX9RkTn/5sozztSu115T4x//qCEXX5zt1QIAwDOGDz9JJSWz1Na2wQyebW2b1NZuXN706c8b1d6+Wbm5Zdp36g0aOvTYjK/jkiVLzP+nTp2qnBxOkQEr8JcETyiYMkXDf3itNvzox9r8X/+totkHq+igWdleLQAAPCEQKFRx8URziaW7O2j+7/NlvvVRqAmtYfr06Rl/fcCtaEsIzxh8+ukadNJJUleX1l59tbq2MaQ6AAB2YYTMbARNw+rVq2lCC6QBYROe4fP5VHHdT5U7dow616/Xuh9cm/DoeAAAwL1CVU2a0ALWImzCUwIDBmiUMf9mbq52vvCCtt57b7ZXCQAAZBFNaIH0IWzCcwqmTdOweTXm5e1P/UPdXV3ZXiUAAJAljEILpA8DBMGTSs85R/6CAg06+WT5AoFsrw4AAMgSRqEF0oewCc/23xz81a9mezUAAIBNmtBOmzaN3wVgMZrRAgAAxLJri9TwB2nd22wjFzehzcvL08SJsadlAZAaKpsAAADh2ndLy56U3vmLtPx5KdgpHXSedMotbCcXj0Kbm5ub7dUBXIewCQAA0NUpffzynoD5/t+l9p2fbZN9DpRGzmYbuQyj0ALpR9gEAADetm6hdP8Z0q5Nn103eKw080xpxpnS0CnZXDukydq1a7V9+3aa0AJpRNgEAADeVj5pTyWzsEyafpo08yxpdKUxmly21wwZGoWWJrRAehA2AQCAt+UPkC54Sho2TcrJy/baIEMOOeQQFRUVafTo0WxzIE0ImwAAACMOZBt4THl5uebMmZPt1QBcjalPAAAAAACWI2wCAAAAACxH2AQAAAAAWI6wCQBwle7OTm1/8kl9fOZZal+5MturAwCAZzFAEADAFYK7dmnb3x5W0z33qGPtWvO6pnvvU8WPf5TtVQMAwJMIm0AaNbd06Lw/1uvsyjE6ddZIFeQG2N6AxTo3b1bT/fdr658fVLC52bwuUFqq0nPPVem557C9AQDIEsImkEYPNqzSojXNWrTmXd38zAe64PBx+o+qsSopymW7AxZo/NPd2jx/vrrb282fc8eOUfkFF6jky1+Wv7CQbQwAQBYRNoE0OqdqjPw+n+7658da39yqm55ept+9+JHOPHi0vnnEeI0uK2L7A/2QN2a0GTQLDzhAZd+8UAPnzpUvQAsCAADsgLAJpNHAglxdPGeCzj98nB5ftE53vLJC72/YobtfX6mPt+zSPRdWsv2Bfhhw9NEa99CDZtgEAAD2QtgEMiA34NdXDhql02aN1KsfbjFD50VHjmfbA/3k8/sJmgAA2BRhE8ggn8+nOVOGmgsAAADgZsyzCQAAAACwHGETAAAAAGA5wiYAAAAAwHKETQAAAACA5RggCJDUvm6ndv97o7o7g8qfUCLf+EEqLClg2wAAAAApImzCs4LtXWp5Z4t21a9X++odPdfvathg/t86pEBDppYpf3Kp8scPMoaS1fbnVqllyRaVfXWy8icMzuLaAwAAAPZG2ITndHd3m1XMbU9+rO6Wzj1XBnzq3q9UT7a1aOKGNu27I6iCLa3auWWddv5zneT3yV8YUHDXnvsboXPoJYRNAAAAIBbCJjyla1eHtj38oVqWNJo/B8oKVFxZoQ8mD9A3Pl6rxo4cDdu3QMM7pWHrWnRuS45mNXaqq7HVDJqBQXnq2tGuthXN6mxsUU55YbbfEgAAAGBLhE14RutHW9X0lw8U3N5uVjJLjh+rAUeO0l83bdXV769Se3e39h9QqHtmjNea1nZ9OfiRnpf019P21aHduerc0qK8sQPVeP/7avtgq3a9tVElx4/L9tsCAAAAbInRaOF6xqA/255coS13LjaDZs7QQg27/AAVzxmlX368Xle8tydofnFIiR47aJJGFuSpavAAfWNEufn4/7dstTpK8lQwpVT+/BwVzx5uXr/7rU3qDnZn+d0BAAAA9kTYhKt1bNqtTb9bqJ2vrDV/Lq6q0LArZqljnyJdtHilfrNqk3n9VWOH6879x6k4EOh57LUTR2if/FytbGnXr1buGTTIUDitXL6CHHU1t6nto21ZeFcAAACA/RE24dpBgHb+a502/uZtdazfJX9xjsq/Pk2lp02WL9evcxet0JNbmpXn8+mW/cbo+xP2kd/n6/Ucg3ICunHKKPPybas36d0du83LxuOLZg01LxtNaQEAAADsjbAJ11jb2q6dnV3q2tmuxnuWattjyyVj3szJgzX8qtkqnL6nWeyzjdv1RvMuFQX8+tusSTqjoizmc54wpEQnDx2srm7p6vdXq/PTZrOhprTGNCjB3R0ZeocAAACAcxA24QqrWtp06tsf6Vv1H2rD/AVqfb9pzyBAX5qgIRfsb44iG6p43vxpk9gLRw7RISXFfT73zyePVElOQO/sbNEdazab1+WOHKDcimKps1utH9KUFgAAAIhE2IQrbOvs0vbOLj3T1qJ/lwXkH16kYd+ZpYFHjJTP/1nz2OebduidHS0q9Pt12ehhCT33sPxc/WTSCPPyTR+v18qWNvl8Pg3+8kQN/95sFR2wp0ktAAAAgM8QNuEKMwcW6cEDJmpQbkDfm5Kj7x4xUB3DCnrdx6hq/vrTqub5I8s1JC/xmX/OrijTEYMHqCXYbTanfbN5lz4elqfNg3LMprvBbkalBQAAAMIxzyZcY9agPYHzrIXL9crO3TrvnY9138wJZt9Mw0tNO7Rg+24V+n361pjEqpohRiXzpqmjdfSb7+uf23bq5AUf9r5d0sAcvwYGAubAQsYy0FgCfvP/8OvOHF6q4pzPRr0FAAAA3IiwCVc5aFCxHjpgos5ctNwMhee9s0L3zpxgBszQ9CXnjRiioXm5ST/3+KJ8/WrqaN2+ZrOaO7q0o2tP093Obsmoa27vDJrL2rb4AwYZAw713VMUAAAAcDbCJlznoJLiPRXORcv12radOv/dFbpo1FD9e/tuFaRQ1Qz31Yoycwlvmtsa7NYOo8/op+Fzhxk6jf/3/Gxcv+PT642AOiiH1usAAABwP8ImXOngkmL9eeYEfe2dFXpl606zymn4jxHlGp6ffFUzXvPawoCx+DVM1j0vAAAA4HSUWOBalYMH6IFP+2wa82Tm+Xz6dj+qmgAAAAASR9iEqx06eIDunzlBYwvydPW4Cu2Tv2e+TQAAAADpRTNauN7nBg9Q/eemZXs1AAAAAE8hbALoEWxrU+emTercsEEdGzYqMLhEA448ki0EAACApBE2AY/p7ujQjuefV/vKlerYsEGdGzaqY+NGdW7cqK6mpr3uP+GpJ5U/fnxW1hUAAADORdgEPGb7P57WumuuiXm7r6BAgdJSda5fb/4cGDxYbnHnqyu0umm3Tp89WsHubj3079X6f8dPVVkxfXkBAACsRtgEPKZwxv5Sbq7U0aHiww7TwBNOUG7FcOVUVCh3+HD5S0q0u75Bq84/X7kjRyqntFRu8Jc3V+tnT7xnXr7nX5/0XL95R5vu+PpscxobAAAAWIfRaAGPyRs3TuUXXGBeblv5sUpO/pIGHHWUCqZONauYRuhqXbrUvL1g+nS5wZJ1zfrRY4vNy7PGDFZe4LND37NLN+qA657RGb9/Xbe+9JFa2ruyuKYAAADuQdgEPGjIZZcqZ8Q+6ly3Xltuv2Ov21uXLDH/L5jm/FF8t7d26Fv3L1BbZ1BHTx2qv112mP71/WM0dGB+2H069ebKrar7xzJ9/uYX9dCbq9QV7M7qegMAADgdYRPwIH9RkSp+8APzcuNdd6ltxcfRw6YLKpsFOQEdPXWYRg4u1PyzDpTf71P5gHy9ee2xWnnjSVr2sy/oqauO1C9Om6FRpYXauL1NNX97V1/871f14vub1N1N6AQAAEgFYRPwqAFz56r4qDlm382NP7uhJ1R17dxpjlRrKNjf+WEzL8evn54yXU9edaQGF+09EFB+TkD77TNI51SN0fNXH6UfnrSfSgpztWzjDl1w95s69856LV7bnJV1BwAAcDLCJuBRRt/MimuvlS8vT7te/5d2/OMf5vVt7+0ZRMdoZuuWwYEMRoDsixE8Lzpygl655mhdMmeCcv0+vb68UV+65TV998G3tWbr7oysKwAAgBsQNgEPyxszRuWXXGJe3vjLG9W1c5daXNRfM1UlRbnmlChf2L9CoTFqH124Tsfc/LJ+8eR7at7dkeU1BAAAsD+/XSos0ZaQmpqauLdHe45Yt0W7HvCy8osvUu6YMerctElbfvc7tS37wLw+f9IkeVXjzjb9x531evyd9TLS5mVzJuhzE8rV3hXUHa+s0JybXjTn7GzrZORaAACwN/KNjcJmLKEgWFdXF/f2ZG8D8Bl/fr4qfniteXnbww8rZ0i5eXnH08+ou7PTc5tq6brtOuW3/1TDyiYNzM/RXd84RPO+uJ8euLhKfzr/EE0ZPkDNLR3mnJ1zf/WyHlu4VkFGrgUAAAnweSzf2CJsGgOTRC7hVc3I+/WHE39JQLoNmDNHw+bVaML/PabySy8159ts//hjNT/6qKc2/j8Wb9Dpv39da7e1aFx5kR759mE6et9hPccO4/KTVx6p2q/O0LCB+VqztUVXPbhQZ//hDUatBQAAPcg3Ngqb4crLy3sFwmipP5HAWVZWFvO2qqqqfqwh4E7l55+v3OHDFRgwQOWXXWpet/m3v1OwtVVesKG5VVf++W3tbu/SEZOG6NFvH65Jwwbudb+cgF9nHTJGL13zeX3vuCkqzguoakLv4xYAAECIl/NNjmwi2omasdETPYELv29fv6yGhoYU1xLwhtKzz1bTPfeqc/16bX3gzyq/8AK5XUVJga778nQt27DDnP7ECJXxFOXl6Mq5k3V25RgV5QUytp4AAMAZfOQb+bptMmN5IqEyfFUTDZaR9431S49n+/btKikp0bx581RQUNDn6wGuEAx+dtn4u0lT5S6osNeJ4Ldf4wsAAOBxra2tuvHGG9Xc3KxBgwY5Mt94rrIZuUFokgZkmd9v/GGm/WV8PZOL7K1b3UndHwAAwC66yTf2LxtUV1fvdV1/gqhdUj7gCMbfmvE3YyzhlU4LdSf5LxjxL1ogBQAAsKtqD+UbWzSjjbdx++q3mWyZOdrrJdqMtq9SOZBO1113Xc/ln/zkJxnb2J2bN2vl2eeoY80aFUybpjH33qvAgOK0vmawO6jGlkYtbVyqd7e827PsaN+x131L80t17n7n6uKZF8vvs/33Z46WrX0QYD+EnXAsRCLZwO75JlNsfWYW2kjR0n/47ak+L+Blxt+BcbDsS87QoRrzxzsVKCtT69KlWnPFdxRsb0/ruhmhcWjRUB01+ih9Z9Z3dPtxt+ufX/unHj/1cf3iiF/onH3P0YwhM5Trz9XWtq367cLfqvqVarV2pjZy7nuN7+lf6/5l+fsAAADwcr7x23UemvANVltbG/f2RJ8/1msCXrRw4ULdcsst5ujMwT6ayOaNHavRt98uX1GRdv/rDa2fN0/daWpWG4vxjd24knE6eeLJ+n7V9/XASQ/ojXPe0E8/91Pl+HP09MqndeHTF2pLy5aknnfDrg36+lNf1yXPXqJb3r6FYwIAAOg38o2NwiaAzFu2bJk6Ojr05JNP6t5779XWrVvj3r9wxv4adctvpNxc7Xj2ObW+956yLS+Qp69O+ar+cNwfVJJfYja1PfuJs7WsaVnCz3HrwlvV1tVmXr7jnTt0079vInAC6Lfm5gVqaVnLlgTgaYRNwKPOPPNMnXjiicrNzdXKlSt166239lnlHHD44RpZe6NG/+EPKpw+XXZxcMXBeuCLD2jcoHFmpfK8p87Ty6tf7vNxy7ct12PLHzMvnzX1LPP/+5bep+vfuN7sNwoAqejqatXiJf+pN+qPU1PT62xEAJ5F2AQ8yu/3q6qqSpdffrnGjh2bcJVz0Be/qOJDq2Q3YwaN0f988X9UtU+Vdnfu1pUvXmkGx3hN5X+z4DdmqJw7Zq5+eOgPdf1h15v9Rf/6wV917WvXqjPYmdH3AMAdVq26U62ta5SbW6qSkgOzvToAkDWETcDjysrK9I1vfKNXlfO2227Trl275DRGU9rbjr1Np0853QyRdW/W6YY3blBHsGOv+y7ctFAvrH7BDJdXzrrSvO60yaep9sha5fhy9PcVfzcHHero2vuxABBLa+t6rfzk9+blSRNrFAgUsbEAi8ZuiLXU1NQk/DzGfeM9VyKLMRItEkPYBLBXlXPWrFkqLk7v9CbpYoxQ++NDf6xrDr5GPvn0vx/8r7713Le0vf2zkXeNauf8t+abl0+ddKomDJ7Qc9sXxn9Bv/78r83nefaTZ3XVi1elPMotAO/5aHmtgsEWlZQcrOHDT8726gCeUFdXl3BQNO6LzCFsAtirynncccc5eqsYHybnTT9PvznmNyrMKdQb69/Qwx883HP7K2te0YJNC5QfyNflB1y+1+OPHnO0fjv3tyoIFOjVta/q289/W7s7dmf4XQBwmm3b/q2NGx83jkKaOuXH/ZqkHUB0Vs4mYUw/EmvU2FhLrClLEB1hE0Dvg4Lfr5ycHFdslc+P/rzuO/E+c/AfI3wauoJd+q8F/2VePme/c1RRXBH1sYeNOEy/P+73Ks4tVsOGBl367KW9qqMAEK67u0sffHC9eXnEiDM1cKB9BlEDnC7aFzfxAmE00e5nTK+YLOMxzc3NKb0PLyJsAnC1qWVTzcF/jL6ZBqMv54njT9SI4hH65v7fjPvY2cNnm9OqDMobpIWbF+qipy/S1tb4U8QA8KZ16/+qHTuXKCdnoCZOuDrbqwN4WqIBFOlH2ATgKbmBXF0y8xI98ZUnzAGF+jJj6AzddcJdKisoM38O+AMZWEsATrNtW4P5//jxVykvrzzbqwMAtuCOtnIAkKQcf05S1dG7v3C3GU6NKicARJq2382qGH6qSksPZeMAaUKF0nkImwCQgPEl49lOAOL2KSsvP5ItBABhaEYLAAAAwJYY1dnZCJsAAAAAAMsRNgEAAADYGvNbOhNhEwAAAICtpTInJrKPsAkAAADAduiv6XyETQAAAACA5QibAAAAAGxb1WR+TecibAIAAAAALEfYBAAAAGAbVDXdg7AJAAAAALAcYRMAAACALVDVdBfCJgAAAADAcoRNAAAAAFlHVdN9CJsAAAAAAMsRNgEAAABkFVVNdyJsAgAAALCFsrKybK8CLETYBIAM6w4G1d3dzXYHACCiqtnY2Mg2cRHCJgBk0M6mRt1zzXf0wLXfUzDYxbYHAHhaeNCsrq7O6rrAejlpeE4AQBQtO3fob7/4sRrXrDJ/3rZhvcpGjGJbAQA8qaamptfPtbW1WVsXpAeVTQDIgI7WVj1Se522rP6k57rNn3zMtgcAeFZdXV3PZbqXuBNhEwDSrKuzQ/83/5da/8H7KigeoNHTZ5rXEzYBAF7F6LPeQNgEgDQPBvTU7+Zr5cK3lJOfr9Pm/USTqw7bK2yuXvKOGh77K78LAIDnms/CveizCQBpYjQJeuHu27Xs9VfkD+Toy9/7gUZM2U/BYNC8ffMnK83/l79Vr8fn36iujg4NHl6hKYcewe8EAOBaNJ/1DsImAKTJmqXvauHTTxhthXTit/9T4w6cbV4/dMx48/8djZv19tN/14t332FWQCcefKgmHFTJ7wMA4Fo0n/UWwiYApInRN/Po8y+V3+/Xvocf1XN9flGRSoYNV/OmjXrhrt+b1+135NE64bKrFMjhsAwAcCeaz3oPZzUAkEYHnXhy1OuHjBlvhk3DAcefpLkXXCqfn270AAD3ovms93BmAwBZMLnyc2Y/zqrTztLcCy8jaAIAXI3ms95EZRMAsmD6UXM19bA5ysnNZfsDAFyN5rPeRWUTALKEoAkA8AKaz3oXYRMAAABAWtB81tsImwAAAAAsV1VVxVb1OMImAAAAAMs1NDT0XO7u7mYLexBhEwAAAIClaD4LwiYAAAAAS5WXl7NFYaKyCQAAAMAyTU1NPZdpPutthE0AAAAAlqD5LMIRNgEAAABYGjQBwiYAAAAAy9F8FoRNAAAAAP1G81lEQzNaAAAAACmj+SxiIWwCAAAAsATNZxGOsAkAAAAgJTSfRTyETQAAAABJo/ks+kLYBAAAANAvNJ9FNIRNAAAAAEmh+SwSQdgEAAAAkDCazyJRhE0AAAAAKaH5LOIhbAIAAABICM1nkQzCJgAAAIA+0XwWySJsAgAAAEgKzWeRCMImAAAAgLhoPotUEDYBAAAAJBQ0y8rK2FJIGGETAAAAQEIaGxvZUkgYYRMAAABAVDSfRX8QNgEAAADEDZqVlZVsISSNsAkAAAAgrvr6erYQkkbYBAAAANALzWdhBcImAAAAgKhBs7q6mi2DlBE2AQAAAERVW1vLlkHKCJsAAAAATDSfhZUImwAAAABoPgvLETYBAAAA9ELzWViBsAkAAAB4HM1nkQ6ETQAAAMDDGH0W6ULYBAAAAGCi+SysRNgEAAAAPIrms0gnwiYAAADgQTSfRboRNgEAAACPqamp6fUzzWeRDoRNAAAAwGPq6up6Lnd3d2d1XeBehE0AAADAQ+iniUwhbAIAAAAALEfYBAAAADyCqiYyibAJAAAAALAcYRMAAAAAYDnCJgAAAOAxjECLTCBsAgAAAB6cWxNIN8ImAAAA4LG5NYFMIGwCAAAAACxH2AQAAAA8hP6ayBTCJgAAAADAcoRNAAAAwOV8Pl+2VwEeRNgEAAAAAFiOsAkAAAB4RHV1dbZXAR5C2AQAAAA8ora2NturAA8hbAIAAAAuRn9NZAthEwAAAAASVFJSwrZKEGETAAAAABJAlTg5hE0AAADAA7q7u7O9Co5G0EweYRMAAABwqZqammyvgisQNFND2AQAAABcqq6uLtur4PiwHhk0m5ubs7Y+TpOT7RUAAAAAALuJDJmVlZWqr6/X9u3bs7ZOTkPYBAAAAFyO/pr9C5psv9TQjBYAAAAAPkXQtA5hEwAAAHAhBrXp/zajotk/hE0AAAAAnhZtICCCZv/RZxMAAABwserq6myvgiMHAkL/ETYBAAAAF6utrc32KtgW1cz0ohktAAAA4DL01/xMVVWVuT2iLeFoNms9wiYAAAAAV/S5jLY0NDT0+XiCZnrQjBYAAACAZyq2BMvMIWwCAAAALuXkYNWfYOnk9+0mNKMFAAAAYLvmsIkEylgL7IHKJgAAAOAiThwcKN46Ex6di8omAAAAgIyLNSpsaK5LqpTOR9gEAAAAXMiOFcG+msmGAmZ9fX3G1w3WoxktAAAAgLSimaw3UdkEAAAAXMJO/TXjNZMtKyujmawHUNkEAAAAYBmqmAghbAIAAAAuYwywY5egace+o8gMwiYAAADgMnYYYIeQCfpsAgAAALC0qknQhIGwCQAAALiMnQYKgncRNgEAAABYhqomQgibAAAAAPqFSiqiIWwCAAAALkFVEXZC2AQAAABgCcIuwhE2AQAAABfKVNNWmtAiFsImAAAAAMByhE0AAAAA/UYTWkQibAIAAAAuQuiDXRA2AQAAAPRbTU0NWxG9EDYBAAAA9FtdXR1bEb0QNgEAAACXysRIsZWVlWl/DTgTYRMAAABAyurr63suMw0KwhE2gQjGQTK0lJeX267DfzAY7LWOfS0AAABANhA2gTCR4aypqSnrga2qqspcByNkpoLQCQCA92R6RNrq6uqMvh6cgbAJhAW6WLIROEMhsaGhIeoHSF9LrOfLdngGAADuU1tb23OZcw2E5PRcAjwq2gExFNbCbzMup/tbwr4OzsmExWjvIfJ1mIcLAAD3M7oFNTY2Zns14EFUNuFpkUEssioYGcas/qYukf6VoXXy+1P7c+2r2gkAANzN6BaUCXyJjUiETXhStHAX6wBpZeBMdPCeeAGxP6I9JxMwAwDgTuFTkmT6C2a+0IaBsAnP6auamWjgTGWJ16k+XQGzr/fDBMwAALh3SpJsBk6AsAnPSKaaGY1xX6tGWisrK+sVLsM71WdK+HvnwwcAAPcGzvDzF+MzP52tmmhKi3CETXhCZJgyvuVL5WBohMJYjws9ZyILnfQBAECmRJ6/GK2aMjGXOF9mg9Fo4Xr9qWa6/Vs7432Etk8mRtsFAADZE/65H5pLnM9+pBOVTXgKB1QAAOBl6R5pP/I1GIjQ2wib8AyCZt/bheYuAAC4XyYCZwgDEXobYRPAXgMHAAAAd8tk4IR3ETYBZGU0XAAA4N7AGf7cmRiMCPZE2ARgojktAADek4kKpzEYEbyJsAkgqqqqKrYMAAAekK7AadX85PBI2DR2vGhLsvdJ9HnDH5fKa4efLPf1GAC9P2waGhrYJAAAeEQ6Amd4Nx2vnW+TmyysbIZ2nnhDG2djB4t1suy1nR1IBs1pAQDwJgYNSj+fx3KTP9kdMHyJN7Rx6D5lZWX9ft5k71tZWZnQ+wHQN76cAQDAO6wOnF6deo7clKE+m42NjZbunIk0z02k+R8n0N7DpMKJ8+oHAwAA2HMeEF68seq8mfNv7+UmvxUn7n29uWT05/7h65FIlRTe8tJLL2V7FRyF5rQAAHhXfX39XvNw88V9amo8nJt83Sk+c6yVjfemE3mp0OP7um+s10/keaOtY7zn2L59u0pKSjRv3jwVFBT0+Vqwl2Aw2HPZ72cAZrYdAABI9Xwg1fMpN52Ptba26sYbb1Rzc7MGDRrU5/19HspNkVL6Tcdb4chknMzKJJPO+5O+6dPpHaE/EmNx+oEtG4xtxojNAAB4W/j5gLGkch7e38c7lc/jucmfbAk40WQc2njpapvdn+c1mgXA/Yxv0BIdeAqxsf0AAEAoJIaWyGpnuh/vNOSmFJrRJlLqjXWfaCXjWKNdxWrL3NdrJ7LusUrXiTSjTbRUDntItsmA3V133XU9l3/yk59k7HUTbaIB98vWPgiwH8JOvH4sjDwnT/b8oL+Pt4NEsoFXc1Mk27QrTLVS6cQdFOnntqAJAADghqlRmMvTW7kpx+oVTPU+icyv2R+pvCaciWG1AQAA0ieyq1yy/TD7+3gnIDfZrLIJpIPbDlwAAAB2QIUTiSBswlVoPpuZbQsAAEDgRF8Im3ANwhAAAEBmETgRD2ETrkTzWQAAAOcMGhQ+nyMFBPcgbMIVaD4LAADg3MBZX1+v6urqXo835qqEsxE24XjhB7PwgxSs//DgoA8AANJVoaytre113lFXV8e5h8MRNuFokeHHOEghfYyDPgAAQDorlJGBs7y8nA3uUIRNuCb80E8zfagYAwCA/lQokw2M4Y9vamqiH6dDETbhWPTTzJzwijGd9gEAQCYCY3/7gSL7CJtwpKqqqmyvAgAAAPrA1CjeRtiEIzU0NPRcpvlsZrCdAQCAFecQVDi9g7AJx6H5bPbRjAUAAPQncPanDyfnIs5B2ISjEHIAAADc0YezP483cF5of4RNOBbNOrO7zTnAAwCATJ9LRJ7/MQe4vRE24Rg0nwUAAEDktCqwL8JmEkpKStL3m0BcfGtlH1SUAQBAtltK0drKGQibSTL+IIyF8JNZ4d9aEXYAAABQXV2d0e49oRxAASpxhM1+hJ/QDofMqaysZHMDAAA4nBWVydra2l4/W31eHjrX55w/dYTNJDQ3N6usrGyv69kJ0yv8wFFfX5/mV0Mykh22HAAAwEpWj1CbyHm9kQmQGMJmkhobG82dOlZTToInvCSVYcsBAACs7HfZn8CZSPXSaFkXOv+nO1dyCJv90NdOR/C0tnLGHzcAAABinZeHS2R8lXihNPw8n5Z1qSNsWoTgmR5UzgAAANzLylFlk5kSJfK1qF6mB2Ezi8GT/m7JbVPYB78PAADg1PAafn0oZFK9TA/CZhaDp1G1Y3Sr2BjpFwAAwP2snjMz3pQokUGTkJlehM0MCoXO8D+AEObuBAAAAPov1pQo4UHTOB8naKYfYTNLfwDRqp2huTvR+2BAk00AAAB3s7q6GW+EWiNoRgZSpEdOmp4XSf4hhP8BhC4TsuAERt9jY0ogAAAAOzHOpSODK+fXmUVl0yai7fg0reWA4ASMGAwAAOxY3Yx8ToJm5hE2bYSmtXvQlBgAAADpPMdGZhA2HfIH4cVRa8vKyrK9CgAAAHB4dRPZQ9h0YNNaN//hhb83+gECAAAAzkXYdGjZPxQ6a2pqsrJeQAjNUgAAgJWobroHYdPhoTM0XYobqp1VVVU9lwkwAAAA3hR+XltZWZnVdUH/EDYdGjqN+YHcpqGhIdurgAS54csNAABg/3OM+vr6rK0L+o+wmYSSkhLZhTERbWS10y0BwI1BGgAAAPExJ6b7EDaT5JZAZ+ftagRpOANNWwAAgBUImu5E2HRB4KR/I7KFpi0AgGyP9xAauyJTSzAYNM+9jP8ZqNEaBE33Imy6JHBGG2THiduS4Gx/TtzHAADOYoS4RIJftsd7CB+o0Q1LNsIzQdPdCJtJaG5utn3gzPZBN1kEF+dx2j4GAHCG8NBjhLhUhca0iFwYEyL58Jzu87TIcEvRwX0Im0ky/gjC+6kx16V1wYUDDAAA3hFZVYunrKwsZoiMXBIZXLE/i9/vN9fX+N+K57NiSdcYCsZ5WjrDZ/iXCpwHuhNhM8V+auHfjhl/KOXl5comJ/6B0nzW2Zy4zwEA7B8uo4WpxsbGjK6rE89NrQyviYbP/pz/ch7oDYTNFIW+HQtpamqyTbNau6xHoutofFsJAADc3e8yFuML/ESCDjIn0fAZOv9NtEIdQtD0jpxsr4DTGX+A4X8wxoGVqTvii/wWjG8rncMJX2QAAOz9OWF8ycxnv7NEBs54v+dkzhWYQs39CJv9FPkH9dJLL8kuwdeujG/BQvgGEwAA50r0vIPPe++Gz3iYQs39aEbbD5F/WMY3dXb5o7Fr6KTZhDswoh8AeFPkvJb9bYYJd4g2YFFk8+hk+obCPQibKYh2gKXzemLbLYRmE85GU3EA8Gbfy1jTX9HvEuGM4gvnCjDQjNaCaqad+h0YB/v+zE2Vqe1mlwownF8tBwBk57hPZQpAX6hsJqGkpMT21czwb5EiJ8q1Cz6cAACwfxWzr7kuAaAvVDZTYLdqZiyhCme2mjFE+6DiwwkAAPvpq/8lAKSCymaS7FjNjPehYAROozN/JvQ1zxKDyrgDJx0A4P4qpjG2AhVMAP1FZTMJzc3NcorwaVCMzvzGZatDgvEhlUj/UMIJAAD2QRUTQKZQ2XQxq+ZAinyO0BIraNKnw30YHAgAnI0qJoBsoLLpcuEVTkOyFU4mawYAwLmoYgLIJiqbHpBohTP8W08ma0Yi+xIAwJ7ijZ9AX0wAmUJl08MVzmQYH05MzgsAgL3F+nzny0IA2UDY9HDgjIdwiRD6awKA/REyAdgRYdNjogVOvu0EAMCZCJkA7Iyw6UGESwAAnI2QCcAJCJsAEsKXFACQfYRMAE5C2AQQE/01AcAeCJkAnIiwCQAAYFOETABORtgE0Cea0AJAZhEyAbgBYRNAVDShBYDMI2QCcBN/tlcAAADAy2pqasyQGRk0y8rKzJYltC4B4FSETQBxcZIDAOkNmXV1db2ur6ysNI+9jY2NbHoAjkbYBLAXmtACQOZDZnV1tRky6+vr2fwAXIE+mwAAABlQVVWlhoaGva43QmZtbS2/AwCuQ9gEEBNNaAGg/8rLy9XU1LTX9YRMAG5H2ATQC01oAcAajCwLwOsImwAAABYiZALAHoRNAFHRhBYAkkPIBIDeCJsAetCEFgCSR8gEgOgImwAAACkgZAJAfIRNAHuhCS0AxEbIBIDEEDYBmGhCCwDxETIBIDmETQAAgDgImQCQGsImgF5oQgsAexAyAaB/CJsAaEILAGEImQBgDcImAAAAIRMALOe3/indq6SkJNurAKQVTWgBeE1VVZVZyYxWzTSOiRwXASB1VDaTZHwY8cEDN2EUWgBeDJgNDQ0xb+dzHgCsQdjsx8k5H0YAADhDeXm5mpqaYt5eVlamxsbGjK4TALgdzWiTcNVVV/X6mYoQ3IQvTwC4Tah5rLFEC5qVlZU9TWUJmgBgPcJmEq6//vq9TsgJnHAy9l8Abg6Y0YQHzPr6+oyvHwB4CWEzBdECZ01NjVW/EwAAYGHArK6uJmACQBYQNi0KnHV1dVSJ4CjhJ2U0oQXgNMFgMOGAWVtbm/H1AwAQNvsl2pDoNEuEE1CJB+BExmesETJjfUFGwAQAe2E0WgsYH3qETDiJUYkPoaoJwM76+nw1AiaVSwCwJ8Im4DE0nwXg9IAZaj7Ll2UAYG/02QQAALYf5CfUdcXv59QFAJyCyqbF+JYVdkZVE4CTKph8pgKAsxE2LUB/TThBeXl5tlcBAAiYAOAhhE3AI5qamnouUy0AkElUMAHAmwib/USzRDgB+ymAbB53ouFLLwBwP8ImAACwBAETABCOsNkPVIvgBOynADJ1jImGCiYAeBdhM0UMCgSn7aeVlZVZXRcA7kHABAAkgrBpwYcs39rCCerr67O9CgAcjIAJAEgWYTNJBE04Bc1nAVh5HImGL1sBAPH4496KXkpKSnoul5WV8SELAHBlwAwtsQJmaAEAIB7CZgqMvm+NjY2pPBTICKqaAJI9ZhAwAQBWI2wmqbq6mr5vcEzQNPZXAIh1rCBgAgDSiT6bSbjqqqtUW1ubvt8GYDH2VwDh6IMJAMgkKptJuP7669P3mwAsQPNZAOFqamqoYAIAsobKJuAS5eXl2V4FADZBBRMAYAeETcAlmpqaei4zSiTgPQRMAIDd0IwWcAGazwLeFN5MNhqmKQEAZBOVTcDhwk8yjflf4UzRwgIVaiSzv7DfAADshsom4KJ+msz/6jzxqlJ9TU0Bb4lXxTS+aApVMQEAsAsqm4CD0U/TueI1e4x2W+g6woT3UMUEADgVlU3Aoein6UyxKlPhVal4/eyodnpDVVVVzH2lsrKSKiYAwBGobAIOFH4Capx4wtmVzHhCt8eqdlLpdBeqmAAAN6GyCThMMBjs9XN9fX3W1gXWVDITEavaabc+nXZbH6dXMaurq6liAgAci8om4GBUtdxXyUxEtGqnHaqchEzrtle2f5cAAFiByibgIOEnoJyMuruSmYhoVc5sIWgmvp2oYgIAvIKwCTiw+Sz9NL0dMiOfP3I9Mj39TrTXNKbpQGLNi0P7SG1tLZsMAOAqhE3AIX26wtFP0z6yFTIjXytynSLnYE0H43XCp98x+heG1NXVyeviVTHjjTgMAIBbEDYBB2hoaOi57PfzZ2sHdgiZka8bHvaMEJjOKmfkc1OZS66KCQCAF3DWCthc5CAwyC67hcxwRjPMdDerNZ4/ckTkbL9vO6CKCQDA3hiNFrAxwqU3Rpe1mrFO0b6k6O+6GiEzWkXTyxhRFgCA2KhsAg5B89nssHMlM55o6xav+hZPtMfY/f2nE1VMAAASQ9gEbCr85N6rJ/XZGIgpPEg4MWQmuq6JBs9ot3v1iw/6YgIAkBya0QI2RPNZ+21fpwTMvtY92nuP9sUGITP29oq2XQEAwN68+fU04CCc0PZv/sdoSyLKyspcOT1FX+8p2jYyRrl10zZIBFVMAAD6j8omYDM0n019e6XCayEqmYpn5H2SmQ/WiduVKiYAANaisglYKJUKWuTjQ8LnTPS6WBXKRLdxZWVlr4qeGyuW/RW5TVLZPuHzwTpFTU0NVUwAANKEyiZgkXh94VIJNcaciV5inPTX1dX16zkIj9bo73Z0whclVDEBAEg/KptABkRW4fqq0rk5NMV674kGzVD/QaqU9hK+/9r1i5J4VczwProAAMAaVDaBDPaDS6TZpxtOdqlSwk6oYgIAkB1UNgELxBtcpa/w6OQ+hFQpEcku+3C8KmZ4H14AAJA+VDYBixknt5EnsW44qTVGGk11ABg3vH84Y15YqpgAANgHlU3AApFhKnwKCKcy3kN45bKvoBmrHyVBE5ncV+P18QUAAJlFZROwiHEyGzrZdeoUEIkO0sOJO+ywX1DFBADA3qhsAhkaHMhuwvu09TUaLJVKxJLp/by8vJwqJgAADkFlE7CYMYVCU1NTzP6b2ULlEk4OmVQxAQBwHiqbgMUaGxt7/ZytCieVS6RLMBiMOrqr1aLNQRtCX0wAAOyPyiaQ5v6bhvDL6ap0UrlEJkJmZPBLV8iMxS4tBQAAQN+obAJpEuukOHJuylRHro18HvpcIt2jvUarLGaiisnIxgAAOBNhE0ijRE6SjZFrI4NjrKqS8TzRqkvxXpdKkD1E/o5TXYwKdqbXNXJ0Zb/fr9raWktfKxr2XwAAnI2wmYSSkpL0/SbgeskEwGghw6rnRuYk+vtLhlHBtiq4xlpiMUKmFe+FKiYAAN5A2ExSf5o9AlYFRMKlvfUV2iJ/f3b/osCqdaOKCQCAtxA2UxBq9ghYKTJ0GH3iwq8PVZWM/2FPifQ57Cu0xQuiqSyh/SiW8FFd0xGAqWICAOBdnLUmobm5udfPBE6kk9Enzq6VLkSfZiaSHaqVof0o1mJV38tIVDEBAABTn1g0pUW2TygBZEeskOlFTFkCAADCUdlMQbSmaVQ5AW+JVs20QyUzW9uBEWUBAEAkKpspMpqeGQtVTsB7jEHCwqcDKSsrU2Njo7yEKiYAAOgLlc1+ilbFyOR8eAAyK3LeSeMY4JWgGT7XayQjcHuxsgsAAGIjbFog1glWtPnwADhXtGazXpBIM1mvBG4AAJA4wqaFEvlWn/AJOJPXgiZ9MQEAQH/RZzMNIk9C41U0I28zBh5K11QEAFLjpaAZ73gVmuOVVhoAACARVDYzIJlJ1ml6C9iLF4KmMeBRrKayxvGKvpgAACAVVDazOJJtqtVPN57sAnbk9r89RpQFAADpRGXTptXPZPp9GlUJANZya9AsLy+nigkAADKCyqbDplSJxpiGwa0nxkA2uPHviSomAADINCqbHql+AvBe0Ix3DKAvJgAASDcqm0nYvn277KS5ubnXz+PGjdPWrVuj3jfyZHP27Nl64YUX0rp+sFZra6tt90W3KCkp2etvzInbOvJ9xDpuJPve2AdhB+yHyDb2QTjx3CBbfN1O/to+gweV8ePHa8OGDdleFQAAAABZVlFRoY8//lgFBQXZXhVbI2wmETjb29vT+9sAAAAAYHt5eXkEzQQQNgEAAAAAlmOAIAAAAACA5QibAAAAAADLETYBAAAAAJYjbAIAAAAALEfYBAAAAABYjrAJpMjn80Vd+rpvKs8Z/rhEXjfytqqqql7XJ7Juia4z7MVO+2Ws12Cfc5dM7nP9vQ/HQli1z/Z1LEzmOQA3Y+oTINU/njgfEN3d3THvF35bKs8Z6z7xXjN0e/j10Z4v2nPEW194e7+0Yp+Ldj37nLNwLIQX91k+Z4HEUNkEUhB5Ah1a4t0vEeHP1dcJdyL3raysTOr1+YbV2dK1Xyazz0VeT3B0t0wdC8vKyhK+bzQcC5HufTZR4a0+AC8gbAJpEmquZcUJd6wPwr6a/zQ0NPT5PNHwIehe/dkvE21ylgr2Ofey4ljY1NQU8zaOhbDDPhv6QiTy/hzb4HWETSAFkU1pysvL9/pACQW96urqlLZxsh9QsZrDxvu2P/SYeFUDOEcm9st4+1yoemQ8d7wvSOAemd7nEsGxEJnYZyM/ZxsbGxN+3USuB9yCPptAqn88CZ40p9ofLdH7xzqxSuT+4Y8Lfz36zjlXuvfL0Lf+oZMxK/a5aOsF58jUsbCvx3AshB332fDn4nMWXkTYBPr7RxQlpPUlXQGSE3+kc79MdZ8Lv3/kayUzUBHsjWMhnCZdx0m+YAM+QzNaoJ9CzVSz1TwwlYE3krkezpTO/bKmpsby54TzWb3PWVGpjIdjIdJ1nGTfAj6TE3YZQBqGTo+8fzLTi2RyhDy4Qzr2S/Y5ZHufS2QKHSCT+2wyCJ/wMiqbgMX6WyHsz7QUVj6OSqe7pOP3yT6HTO9ziWC/RKb3HQCx0WcTAAAAAGA5KpsAAAAAAMsRNgEAAAAAliNsAgAAAAAsR9gEAAAAAFiOsAkAAAAAsBxhEwAAAABgOcImAAAAAMByhE0AAAAAgOUImwAAAAAAyxE2AQAAAACWI2wCAAAAACxH2AQAAAAAyGr/HyArsOM8t66hAAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot map with all individual tracks:\n", "import cartopy.crs as ccrs\n", "fig_map,ax_map=plt.subplots(figsize=(10,10),subplot_kw={'projection': ccrs.PlateCarree()})\n", "ax_map=tobac.map_tracks(Track,axis_extent=axis_extent,axes=ax_map)" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "execution": { "iopub.execute_input": "2026-02-02T20:19:58.918216Z", "iopub.status.busy": "2026-02-02T20:19:58.918107Z", "iopub.status.idle": "2026-02-02T20:19:58.963902Z", "shell.execute_reply": "2026-02-02T20:19:58.963395Z" } }, "outputs": [ { "data": { "text/plain": [ "Text(0, 0.5, 'counts')" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Updraft lifetimes of tracked cells:\n", "fig_lifetime,ax_lifetime=plt.subplots()\n", "tobac.plot_lifetime_histogram_bar(Track,axes=ax_lifetime,bin_edges=np.arange(0,120,10),density=False,width_bar=8)\n", "ax_lifetime.set_xlabel('lifetime (min)')\n", "ax_lifetime.set_ylabel('counts')\n", " " ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "execution": { "iopub.execute_input": "2026-02-02T20:19:58.965218Z", "iopub.status.busy": "2026-02-02T20:19:58.965133Z", "iopub.status.idle": "2026-02-02T20:19:58.969703Z", "shell.execute_reply": "2026-02-02T20:19:58.969263Z" } }, "outputs": [], "source": [ "# Create animation showing tracked cells with outline of cloud volumes and the midlevel vertical velocity as a background field:\n", "animation_tobac=tobac.animation_mask_field(\n", " track=Track,features=Features,field=W_mid_max,mask=Mask_TWC,\n", " axis_extent=axis_extent,\n", " vmin=0,vmax=20,extend='both',cmap='Blues',\n", " interval=500,figsize=(10,7),\n", " plot_outline=True,plot_marker=True,marker_track='x',plot_number=True,plot_features=True\n", ")" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "execution": { "iopub.execute_input": "2026-02-02T20:19:58.970891Z", "iopub.status.busy": "2026-02-02T20:19:58.970809Z", "iopub.status.idle": "2026-02-02T20:20:20.898045Z", "shell.execute_reply": "2026-02-02T20:20:20.897644Z" } }, "outputs": [ { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" }, { "data": { "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Display animation:\n", "from IPython.display import HTML, Image, display\n", "HTML(animation_tobac.to_html5_video())" ] } ], "metadata": { "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.13.11" } }, "nbformat": 4, "nbformat_minor": 4 }