{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Making Plots Using `Matplotlib`" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "`matplotlib` is a Python plotting package that has similar features to Matlab" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Website: https://matplotlib.org/" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This notebook will demonstrate some of the features of `matplotlib` common for Climate Data Analysis plotting, including:\n", "\n", "1. How to make a line plot and make it look nice with labels and colors\n", "2. How to make multiple plots together using subplot" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We will use data on the COLA Servers from SubX in which I have previously calculated the daily skill of the Real-time Multivariate MJO Index (RMM), two indices that together represent the Madden-Julian Oscillation, for many different SubX models. \n", "\n", "The data are located on the COLA Servers in the directory:\n", "```/project/predictability/kpegion/subx/data/analysis/skill/```\n", "\n", "The files are called:\n", "```skill.accrmse.MODELNAME.rmm.daily.nc```\n", "\n", "where MODELNAME refers to one of the SubX models" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import warnings\n", "\n", "import numpy as np\n", "import xarray as xr\n", "import pandas as pd\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "def get_model_name(fname):\n", " return modelname" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Set the directory and filename" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "path='/project/predictability/kpegion/subx/data/analysis/skill/'\n", "fname='skill.accrmse.*.rmm.daily.nc'" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Read in the data for all models using `xr.open_mfdataset()`" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "rmm_ds=xr.open_mfdataset(path+fname,concat_dim='model',combine='nested')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As you can see, we now have a bunch of skill scores for each model. We will focus on bivarcorr, which is the bivariate correlation and is commonly used to measure the skill of the RMM indices combined into a single measure. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You may also notice that we have only 1 latitude and 1 longitude, as this is only an skill score for an index. Thus, we can use the `squeeze` function to drop these unimportant dimensions." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
<xarray.Dataset>\n",
       "Dimensions:    (model: 6, time: 45)\n",
       "Coordinates:\n",
       "    lat        float32 -90.0\n",
       "    lon        float32 0.0\n",
       "  * time       (time) datetime64[ns] 1960-01-02 1960-01-03 ... 1960-02-15\n",
       "Dimensions without coordinates: model\n",
       "Data variables:\n",
       "    accrmm1    (model, time) float32 dask.array<chunksize=(1, 45), meta=np.ndarray>\n",
       "    accrmm2    (model, time) float32 dask.array<chunksize=(1, 45), meta=np.ndarray>\n",
       "    rmsermm1   (model, time) float32 dask.array<chunksize=(1, 45), meta=np.ndarray>\n",
       "    rmsermm2   (model, time) float32 dask.array<chunksize=(1, 45), meta=np.ndarray>\n",
       "    bivarcorr  (model, time) float32 dask.array<chunksize=(1, 45), meta=np.ndarray>\n",
       "    bivarrmse  (model, time) float32 dask.array<chunksize=(1, 45), meta=np.ndarray>\n",
       "    perr       (model, time) float32 dask.array<chunksize=(1, 45), meta=np.ndarray>\n",
       "    aerr       (model, time) float32 dask.array<chunksize=(1, 45), meta=np.ndarray>\n",
       "Attributes:\n",
       "    title:         SubX Anomalies\n",
       "    long_title:    SubX Anomalies\n",
       "    comments:      SubX project http://cola.gmu.edu/~kpegion/subx/\n",
       "    institution:   IRI\n",
       "    source:        SubX IRI\n",
       "    CreationDate:  2018/09/12 17:50:23\n",
       "    CreatedBy:     kpegion\n",
       "    MatlabSource:  calcdailyskilltest
" ], "text/plain": [ "\n", "Dimensions: (model: 6, time: 45)\n", "Coordinates:\n", " lat float32 -90.0\n", " lon float32 0.0\n", " * time (time) datetime64[ns] 1960-01-02 1960-01-03 ... 1960-02-15\n", "Dimensions without coordinates: model\n", "Data variables:\n", " accrmm1 (model, time) float32 dask.array\n", " accrmm2 (model, time) float32 dask.array\n", " rmsermm1 (model, time) float32 dask.array\n", " rmsermm2 (model, time) float32 dask.array\n", " bivarcorr (model, time) float32 dask.array\n", " bivarrmse (model, time) float32 dask.array\n", " perr (model, time) float32 dask.array\n", " aerr (model, time) float32 dask.array\n", "Attributes:\n", " title: SubX Anomalies\n", " long_title: SubX Anomalies\n", " comments: SubX project http://cola.gmu.edu/~kpegion/subx/\n", " institution: IRI\n", " source: SubX IRI\n", " CreationDate: 2018/09/12 17:50:23\n", " CreatedBy: kpegion\n", " MatlabSource: calcdailyskilltest" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "rmm_ds=rmm_ds.squeeze()\n", "rmm_ds" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As you can see, the dimensiion model exists, but has no definition. Our `xr.Dataset` does not know the model names, but we can add them." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
<xarray.Dataset>\n",
       "Dimensions:    (model: 6, time: 45)\n",
       "Coordinates:\n",
       "    lat        float32 -90.0\n",
       "    lon        float32 0.0\n",
       "  * time       (time) datetime64[ns] 1960-01-02 1960-01-03 ... 1960-02-15\n",
       "  * model      (model) <U14 'CCSM4-RSMAS' 'FIMr1p1-ESRL' ... 'NESM-NRL'\n",
       "Data variables:\n",
       "    accrmm1    (model, time) float32 dask.array<chunksize=(1, 45), meta=np.ndarray>\n",
       "    accrmm2    (model, time) float32 dask.array<chunksize=(1, 45), meta=np.ndarray>\n",
       "    rmsermm1   (model, time) float32 dask.array<chunksize=(1, 45), meta=np.ndarray>\n",
       "    rmsermm2   (model, time) float32 dask.array<chunksize=(1, 45), meta=np.ndarray>\n",
       "    bivarcorr  (model, time) float32 dask.array<chunksize=(1, 45), meta=np.ndarray>\n",
       "    bivarrmse  (model, time) float32 dask.array<chunksize=(1, 45), meta=np.ndarray>\n",
       "    perr       (model, time) float32 dask.array<chunksize=(1, 45), meta=np.ndarray>\n",
       "    aerr       (model, time) float32 dask.array<chunksize=(1, 45), meta=np.ndarray>\n",
       "Attributes:\n",
       "    title:         SubX Anomalies\n",
       "    long_title:    SubX Anomalies\n",
       "    comments:      SubX project http://cola.gmu.edu/~kpegion/subx/\n",
       "    institution:   IRI\n",
       "    source:        SubX IRI\n",
       "    CreationDate:  2018/09/12 17:50:23\n",
       "    CreatedBy:     kpegion\n",
       "    MatlabSource:  calcdailyskilltest
" ], "text/plain": [ "\n", "Dimensions: (model: 6, time: 45)\n", "Coordinates:\n", " lat float32 -90.0\n", " lon float32 0.0\n", " * time (time) datetime64[ns] 1960-01-02 1960-01-03 ... 1960-02-15\n", " * model (model) \n", " accrmm2 (model, time) float32 dask.array\n", " rmsermm1 (model, time) float32 dask.array\n", " rmsermm2 (model, time) float32 dask.array\n", " bivarcorr (model, time) float32 dask.array\n", " bivarrmse (model, time) float32 dask.array\n", " perr (model, time) float32 dask.array\n", " aerr (model, time) float32 dask.array\n", "Attributes:\n", " title: SubX Anomalies\n", " long_title: SubX Anomalies\n", " comments: SubX project http://cola.gmu.edu/~kpegion/subx/\n", " institution: IRI\n", " source: SubX IRI\n", " CreationDate: 2018/09/12 17:50:23\n", " CreatedBy: kpegion\n", " MatlabSource: calcdailyskilltest" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "modelnames=['CCSM4-RSMAS','FIMr1p1-ESRL','GEFS-EMC','GEM-ECCC',\n", " 'GEOS_V2p1-GMAO','NESM-NRL']\n", "rmm_ds['model']=modelnames\n", "rmm_ds" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we will plot the skill of the first model for all lead times as a line plot" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(rmm_ds['bivarcorr'][0,:])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Axis Labels and Title" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0, 0.5, 'Bivariate Anomaly Correlation')" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(rmm_ds['bivarcorr'][0,:])\n", "plt.title(modelnames[0]+' RMM Skill')\n", "plt.xlabel('Lead Time (Days)')\n", "plt.ylabel('Bivariate Anomaly Correlation')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Controlling the Axis intervals" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can control the axis intervals by specifying them in `plt.xticks` or `plt.yticks`" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "([,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ],\n", " )" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "x=np.arange(0,45,5)\n", "y=np.arange(0,1,0.1)\n", "plt.plot(rmm_ds['bivarcorr'][0,:])\n", "plt.title(modelnames[0]+' RMM Skill')\n", "plt.xlabel('Lead Time (Days)')\n", "plt.xticks(x)\n", "plt.yticks(y)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Change color and thickness, add horizontal line" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "([,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ],\n", " )" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "x=np.arange(0,45,5)\n", "y=np.arange(0,1,0.1)\n", "plt.plot(rmm_ds['bivarcorr'][0,:],color='r',linewidth=3.0)\n", "plt.hlines(0.5,0,45)\n", "plt.title(modelnames[0]+' RMM Skill')\n", "plt.xlabel('Lead Time (Days)')\n", "plt.xticks(x)\n", "plt.yticks(y)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Multiple lines on the same plot with legend" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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u3OWemT1HmnRHJlUiPSX3Z2fjZEb11mUoX10ZdsWTowy64lENepGJcnkUrMwM+a5LZRa9WwsXG51CY5rGkJVp5fnB4S3S6vXA1slR3z9dq+F0CTt2epQiURtPvZUzSbozkgzfaAyNsz/C29EJbJoXTuC4vZzaG53HlaNQKBTPklfSoGdR192eDUPrM6B+WQwyd9QpUsPPkdb85tgD1+4fYVciO+QpwdiQg24l2Fe2BHWOJOL09zes9ByPYY27GJpkx7TeuZbA/+aHs3TKAW5civvP70uhULyavNIGHcDc2IBRrSux5qN61Cxjq6+/GpvMiL2pbPfpR+U338HE1ETfFmNpxi6PUog0O4YEXGPZnS9YUWsqlq8lY5TDsF+7EEvIxP3sCDxFUnzqf3pfCsXTQKvV4ufnp/+JiIhg27ZtesnbgIAAhBBs3rxZf83y5csRQhQofxsSEoKXlxcajYbCul39/f0pXrw43t7ej7TeSZMmAQXL344dOxZnZ2f8/Pzw9PQkMDBQP1bfvn0LvIcXlVfeoGfh4WRJ8IDX+P7NytiZG+nrt56Jof8BEy40+Ziy9ZrpwxSlEFy0t+JUiVIMW2aM7cnzTBGfsrHuzzjUEWi0mf0kHNt+hb/G/suJf64qN4zipcLU1JTDhw/rf7KOxefEx8cnlyHMT5Y2i/T0dLy9vVm2bBn169cv9Dr69u3L+vXrH3m9I0eO1Mvfrlq1iiNHjnDo0KFcp1eHDRvG4cOH+fvvvxkwYACpqS/v5ksZ9BwIIehczYUtnzTkrddcyQoxz5Cw5PhtPrlSnugmg3Bwz35JkWxoQJhLCVrtsaflPjgZf5yv5UccabgCO/fsXX1iXCpbFp5k2dQD3Lis3DCKokO9evXYt28fqamp3Lt3j7Nnz+Ln56dvL1OmDOPHj6du3bqEhIRQqVKlfOVnAwICaN++PS1btsTDw4Nx48bp2+rXr4+trW2eawpDYeVv3d3dMTMz4/btl1diu1AHi4QQLYHpgBb4XUo56b52G2AeUA5IAvyllGF5BnpJsDIz5JsOPrxZrRRTN55i55mbgM6wLz6XzhIa0L1WZUoeWU5yki78MdrGEtcoM95Zd5MFzRPZnbCFfQ476ec2DLP9ZYm/ndnvfCxLJoZS4w03qrYoraJhFIVjrNUzHPtugU2JiYl64+zm5sby5cvz9BFC0LRpUzZs2MDdu3dp165dLl0WABMTE3bt2vXQpezbt4+wsDDMzMyoUaMGbdq0oXr1fAM6HrpegFGjRtGtW7dCyd8ePHgQd3f3Qmuxv4gUJgWdFpgFtAI8gR5CCM/7uo0GDkspfYG30Rn/l57Kpaz5491aLH2/NvXc7fX1GQj+um7DLMee4Jz9TZ9iqEVKR/qvtsf2roZUmcrPcd+xqvqPlKpvqnfDZGRI9v59nhU/HCQ2JvE/vy+ForDkdGHkZ8yz6N69O0FBQQQFBeWRpQWdOmJhaNasGXZ2dpiamtKpU6dCfQkUtN7Dhw/r532Q/O20adPw8PCgVq1ajB079pHme9EojMulJnBWSnleSpkCBAHt7+vjCWwGkFKeBMoIIRwpIlQrbZuvYU/UmDDTqDG7S7XBOEf/JEMLOu4sSdVT5iDh9L2TjEkdQFyHoxR3s9D3izp7l+Bv9nN6f159GYXiZaJmzZqEhYVx8+ZNKlSokKfd3Lxw+kf3S2k8SFrj8uXL+pefv/zyy0PH9vHxYdiwYWzatImlS5fq64cNG8apU6cIDg7m7bffJikpqVBrfREpjMvFGbicoxwJ1LqvzxGgE7BLCFETKA24ANdydhJC9Af6gy4d1MtGlmE/cPEW3288zT/ndFrOBw1cCXN9hyFXlpCUrvOPp2u0+J6zp/Q1S7ZXjuGWVSp/XP0dl7Lr6ec6ims705EZkpTENDbNDefisRjq9/DA2LTIyusonoQHuEVeFCZOnKhPNPG4bNq0iVu3bmFqasqKFSuYN29egX1LlSrF4cOHHzrmvXv3CiV/26lTJxYsWMCCBQsYMGDAY9/D86QwO/T8viLvD9WYBNgIIQ4DHwKHgLQ8F0k5R0pZXUpZ3cEh/0TPLwPVStvyZ79azOxRheKWur15itaEKa5vcdGwEqYp2W/Jre4Z88buEtQMt8EwVRCZEMnYlEFca7YXC7vsaJrT+64R/PU+rp6585/fj0LxNGjVqhWNGjV6aL/ly5fj4uKiT06RMyF03bp16d27N35+fnTu3FnvP+/Rowe1a9fm1KlTuLi4MHfu3HzHzvKhZ/2MHDkSKWWh5W+//PJLfvjhBzIydBnOBgwYgIuLCy4uLtSuXfsRP5H/noce/RdC1AbGSilbZJZHAUgpJxbQXwAXAF8pZWxB4z7Po/9Pk9ikVH7YeJqFeyLIikisGXWMnhdXccHBmowcLz0TjTPY6xlDhFMCCLDTOvD27U9JPJ5t2BFQuUkpXmtXFgOjh6fiUhRdXrWj/wEBAYSGhvLTTz8976W8MDyLo//7AXchhJsQwgjoDqy8bwLrzDaAfsCOBxnzokQxE0PGtvNi5eC6VHbRRSLsK+HDIreO1D4TiV1cgr6vabKGhoccaBpaHNMkLTHpN5hWbATnamzHwDTzVyHhyP8uE/ztfqLPv/iP2QqF4sWhUOJcQojWwI/owhbnSSm/FUIMBJBS/pK5i18IpAPhwLtSygcGcxaVHXpO0jMkf+29yHcbThGXlEa1ayf5au88bhQz40RJO5INs/3jKUaS3V43uVhCZ/CtUu3pce1juJz98kgIqNLclRpt3TAwVLv1V41XbYeuyItSW3wBuB6bxLhV4aw5FkXV66cY++88QHLayYaL9laQ4839WZd49laKIdVQgoT699rhc6Yp6cnZvxebEuY07VuJ4qWLPYe7UTwvlEFXKLXFF4DixUyY1asqc/tUJ9q9Ml+99i4SDV5XY3jt3FVMcxwtLh9pTpc9pSl+yxgE7LBcyZ9eXyOcs101t6PiWTL5ADuCT5MQq3KbKhSK/FEG/RnSpJIjmz5uQNVOLRhX258UjQG28UnUPRmJS2y2f9z4nqT13hLUOGuPyIA7xjf4udRozvv8g9YwUxMmQ3JsaySLvtAlrU5JyhNEpFAoXnGUQX/GmBsb8EVbT8aOe4d5bT4kWWOAYUYGvhduUi3qKsYi0zBLiddpczofLItRigaEZKNFMMGVJ2Hgkr0rT01OZ9+qCyz6Yg/HtkWSnpbxnO5MoVC8aCiD/h/h62LN95P6ET74K5I1upejjtcTaXD+Ii7G2bt1i+vpvHXYk2LJuvj2m4ZX+cllBBdq76CYY/Z51MS4VHYEneavcXs5E3qN5/UuRFG0uXbtGj179qRs2bJUq1aN2rVrs3z5crZt24aVlVWumO///e9/QP6SuwkJCfTq1QsfHx+8vb2pW7cu9+7dyzNfQEAADg4Oua4PDw8nIiICIQRffPGFvu/NmzcxNDRk8ODB+rqFCxfi7e2Nl5cXnp6eTJ069dl/SC8Q6ljif4iBVkPPD7pwwqUYqaM+wTA9DYNYqHo8Gtdqd/jnru70WsbNOHoe9OCf2vEc5RwI2MBSQittZ2TtCVzbnsG9TLGv2BuJbPz9OBeO3KRR74oYqth1xVNCSkmHDh3o06cPf/31FwAXL15k5cqV2NjYUK9ePVavXp3nuiw9lZxMnDgRR0dHjh07BsCpU6cwNDTMd95u3brliUWPiIigbNmyrF69mq+//hrI1lXPYt26dfz4449s3LiRkiVLkpSUxB9//PH4H8BLiNqhPwcqtWuO6+xZpBvo/qDT4g2wP5BMS7tTaNC5UJJu36X2NiP6WndEZB7WjUm+yajrH2DU6zK1O5XD2Cz7+/jM/mssnXyAuzeU2Jfi6bBlyxaMjIwYOHCgvq506dJ8+OGHjzxWVFQUzs7O+rKHhwfGxsYPuCIvpqamVKpUSZ8UIzg4mK5du+rbJ06cyNSpUylZsiSgU3h87733HnmtLzNqh/6csG5QH4PZP3Fp0GBEaipp8Vo0eyXt6oSz5mZFUjMMSE5IwCDkGJPfHsHEW79xO/k2aTKNCQe+pUP5DowYN5LQFZc4sTsKgJgr9wiZuJ9m73pR2svuOd+h4mnis8DnmY19rM+xfOuPHz9O1apVC7xu586duaRqly5dSrly5fKV3PX396d58+YsWbKEJk2a0KdPH9zd3fMdNzg4OJfK4p49e/T/zlJ1dHJyQqvVUrJkSa5evQpAWFgY1apVK/yNF0HUDv05YlG/PqVmzgCDzO/VeMG9fy15s+QxzLS6F6FpqamcmLeYby0H4WmXrVq84uwK+m9/F89ONjTs5YHGQLeLT05IY/VPRwhdG6GyIymeKoMGDaJy5crUqFED0CW2yClVW65cOSB/yV0/Pz/Onz/PiBEjuHXrFjVq1ODEiRP5ztOtW7dc45qamurbWrZsyaZNmwgMDCy0JO+rhDLozxnLhg1xmTEDMk+RGsWlEXagHJ1cj2NtqHOfSCnZt/APhiS1pV25dvprj8ccp9vqbiS4X6XjJ1Uxt858hJWwd+V51v16jJREFd6oeDy8vLw4ePCgvjxr1iw2b97MjRs3Hms8CwsLOnXqxOzZs3nrrbdYu3Yts2bN0r/8zNppPwgjIyOqVavG999/T+fOnfOs98CBA4+1tqKCcrm8AFg2bkTJiZO4Onw4AC7RNwg+0ZhmXgc4cMWBa0mWAOwJCaZj12541/Lmu33fkSbTuJV0i/c2vkd/3/70GtmHLXNP6RUbLxy5ScikUFq85429i0WB8ytefApyizxLGjduzOjRo/n55595//33AUhISHjIVfmze/duPD09sbGxISUlhfDwcBo2bEiXLl0YNGjQI431ySef0KBBA31KuSxGjRrFp59+yurVq3FyciI5OZlff/2Vjz766LHW/DKidugvCFZt22DX7119udmpUL6/3BVLFxNczbIldbcvDqbS8UR+b/E7tia6HIvpMp2fj/zMezvfoVIfcyo3LqXvf+daAksmhRK2PVKFNioeCSEEK1asYPv27bi5uVGzZk369OnD5MmTgWwfetbPkiVLChzr3LlzNGjQAB8fH6pUqUL16tXz7LCzCA4OzjXuP//8k6vdy8uLPn365LmudevWDBo0iKZNm+Ll5UW1atVIS3u1nlCVlssLhExP53L/AcTv3g1AotaIj+sPpqH1YTyijnI1MTuvZPPOLSne5k0+3fEpB69nPxYbaAz4oPIH1E1sw46/zpCWnK5vK1fFgUa9K2Jsln+4mOLFQmm5KJSWy0uM0Gpx/uF7DDOzOZmmp/Dl3gUsSW7IFqfGOJpmH8TYuHQdt1bMZV6LeYyoPgJjrc5/npaRxoxDM/j65nBqD3LEzjnb1XLu0A2dLO8FJcurUBRFlEF/wdBaWVFq1k8IMzMASiTEMGr/IjZnVCOkeHtsTbLizAXrVu7m3LwRvO3Zm8VvLMbX3lc/zrGbx3hnby8S3ziBZ72S+vq4mCSWTznIwY0XVRSMQlHEUAb9BcTY3Z2Sk7ITQlW9cZp3wtdyRFOBgOLdsTTWhTRKBGs2neTcT30oa+7MglYLGFJ1CIYanUslJSOFH45MZY7VOHx62mKUma80I0OyZ9k51sw+StK91LwLUCgULyWFMuhCiJZCiFNCiLNCiJH5tFsJIVYJIY4IIY4LId55+kt9tSjWvDn2H7yvL3c5u51GkQe5qC3JHMe3MDHS+cYz0LBq903Ofd8Zg+Q4+vn0I7htMJVss/1uYTFhDIl4h8QOx3Eok+2CuRgWw+IJ+7l+8ZVILqVQFHkeatCFEFpgFtAK8AR6CCE87+s2CAiXUlYGGgLf50hJp3hM7AcPxiJH0t0RR5finXCNm1o75jj2Rpv5bjNdavj7oCR8Qju4HYG7jTt/tvmTD6t8qN+tp8k0fouYzSL3bynxevavJu5WEkunHCBsxxUVBaNQvOQUZodeEzgrpTwvpUwBgoD29/WRgGVmgmgL4BbwasULPQOERkPJKd9h5OamK6ckM+XYn1Q0l9w1sGKuYy+kgU6MSyJYd9qKg9++CZEHMNQY0t+3P0vaLaFq8ezj2xfuneerjPe51/gEhqa6azPSJNv/OsXmgBOkpqTnXYhCoXgpKIxBdwYu5yhHZtbl5HU9D4QAACAASURBVCegEnAVOAYMkVLmEeoWQvQXQoQKIUIf97TZq4bWwgKXn2aiyXxJStRVZl1YwWulrYkzLMb8Er1IMTLR99962ZHdk99Dhq8CoKxVWea3nM+YWmMwN8zOV7oo8RfWVPkJU8fsdHin9kazZFIod6493uERRdHjceRzhRD07t1bP0ZaWhoODg60bds23zkaNmyIh4eHfpwuXbro2x4khzt16lQqVqyIt7c3lStXZuHChQCkpqYycuRI3N3d8fb2pmbNmqxbt+5ZfDwvHIUx6CKfuvufzVsAh4GSgB/wkxAiTwJMKeUcKWV1KWV1BweHR17sq4pxuXKUyPGSNOWf3fyYtJ8eNUsRb2BOgFNP4oyzP+5/r5dky4yvkHtmA6ARGrpV7MaK9ito6NJQ3++8PMmM0p+Q4n5dX3frajyLJ+4n4ujNZ39jiheaLPnc+vXrc/78eQ4cOEBQUBCRkZFAXi2Xpk2bAmBubk5YWBiJibqIrE2bNuVSWsyPP//8Uz9O1gGlnHK4x48f5+DBg1hZ6c5i/PLLL2zatIl9+/YRFhbGjh079C7DL774gqioKMLCwggLC2PVqlXExcU9k8/oRaMwBj0SKJWj7IJuJ56Td4BlUsdZ4AJQ8eksUQG6l6R2/fvry7d//ZVRxa7zWcuKJGuNWeTUleumxfXth2+XZO28ANJXj4AM3cOSk7kTMxrPYEr9KVgbWwOQrk1lnv23HPPaiMgUgkhNSmftL8c4vT/6v7tBxQvHk8jntmrVijVr1gAQGBhIjx49Hnn+B8nhTpgwgdmzZ1OsmG4jY2VlRZ8+fUhISOC3335j5syZenleR0fHXDK7RZnCaLnsB9yFEG7AFaA70PO+PpeAJsBOIYQj4AGcf5oLVYDDkI9ICgsjPvModNRnI/EPCaH4m5X5dOlRQhw70ObGBsrEXwTgZGxxkpft5o2UDzHsMBM0GoQQtHRrSXWn6oz9ZyzbI7cDsLvYGk57HqXThY8QcUbIDMmmeeGkpWTg+XrJAtek+G84UfHZnRitdDJ/1cPHlc8Fnczt+PHjadu2LUePHsXf35+dO3cWOFavXr30qorNmjVjypQpBcrhxsXFERcXp58rJ2fPnsXV1VVv6F81HrpDl1KmAYOBDcAJYLGU8rgQYqAQIuur+2ugjhDiGLAZ+ExKqZ7ZnzJCq6Xk91MxzNyxZMTHE/nRh3TwsOH3PtUxNjJitUNLjltmPxxdiLcl+O8w4kMG63fqAPam9sxsPJPxdcZjZqDzz98wv8wfFb4m3uKWrpOErX+c5MjmnK9QFK8qhZXPBfD19SUiIoLAwEBat2790LFzulymTJnywL5SSnTxF4r7KVQcupRyrZSygpSynJTy28y6X6SUv2T++6qUsrmU0kdK6S2lXPQsF/0qY2Bjg/PMGYjMx8mUs+eI+vxzGlZwILD/a9hYmLDFriH7rbN3VteSLAlcdYpbf32Qy6gLIejo3pFl7ZdR3VEnDZFgFEtIxanEWFzR99sVcobQdRH/zQ0qXhieVD63Xbt2DB8+PI+7pUWLFvj5+dGvX7+Hzp+fHG6xYsUwNzfn/Pm8ToDy5ctz6dKlV8Znfj/qpOhLiKmXF07jxurLcRs2cGvePPxKWbNkYG1cbM3416YW2+zq6fvcTTUlcO0FrswfkMuoAzhbODO3xVxGVB+BkcaIJMN4/q40g2uWF/R99v59nj0rzqlY9edEpZMnntlPQTRu3JikpCR+/vlnfd2jyOf6+/vz5Zdf4uOTO9vShg0bOHz4ML///vsDr8+Sw42O1r3LSU5OZsaMGfq2QYMGERurOxQXGxvLnDlzMDMz49133+Wjjz4iJUV3ojoqKopFi16NPaYy6C8p1h06YNOrl758/YdpxO/bR1kHC5a9X4dKJYpxrJg3axxbkPV0mpRuyJJNkZyZ/W4eo64RGt72eptFrRdR3LQ4KQZJrKo0m0irU/o+B9dfZOfiM0oD5hXhSeVzXVxcGDJkSKHm6tWrl36crGiZB8nhvv/++zRq1IgaNWrg7e1NgwYNMMsM7f3mm29wcHDA09MTb29vOnTowKsSVafkc19iZEoKF9/uQ2JmhnWtvT1uy5ZiWLw4sUmp9J67jyOX7+CUHE23a8vJ0J8ZkjSqZkfV4QGgyfudHh0fzeDNgzl1+xTaDAOanX6HMre99e2edUvSsKcHQqP8mM8SJZ+rUPK5rxDCyAjnH6ehtc1MdHHzJleGfYxMTaWYiSEL/Wvi62JFtLETC0p0x0Avgy7YeuAWW8f2IiM1Jc+4TuZOLGi1gHrO9UjXpLGxwlzO2mX7UsN3XWXrnyfVTl2heMFQBv0lx9DJCecfvtfvtBMPHOD69z8AYGVqyB/+tfBxtuKOoQ2/lnibHIdKOXgqjpBh3YmPyfuSy9zQnBmNZ9CjYg8yNBlsdl/IKYd9+vYTu6PY8scJMpRRVyheGJRBLwKYv/YaDkOH6su3AgKIXb8BACszQxa9Wwtv52IkaM2Z6eiPaY70opE3UvjjY38ijx/JM66BxoDRtUYzsuZIELCt3F+cdNirbz+5J5otC5RRVyheFJRBLyLY9XsXi8aN9eWo0aNJPq+LUsky6p4lipGiMWaKfX/M7bRkKTjEJ0kWf/05B1aG5BvF0qtSL6Y3mo6JoQnbygVyovgefdupvdFsDggnIz2PdI9CofiPUQa9iCA0GkpOmohhKZ1KQ0ZCApEffUhGfDwA1mZG/NmvFpVKFEMKLZOKvYeFsykmWl2CCylh258LWD1tAimJeUPTGrk2Yn6L+diZ2rK9bDDhxbMT957ed43/BZxQRl2heM4og16E0BYrhsuM6bkPHX35lX7XbWOuM+oVnSwBwUSjvmjKFMfJJDvBxem9e/hz1FBiruQ9Hepl78Wfbf7EzboMO8ou5rjjLn3bmf3X2DRf7dQViueJMuhFDJNKlXD66it9OXbNGmJ+naMv25obscC/JiWtTADB5IzuxJWtRGXrbL21W1FXCfpiBFFnT3E/zhbO/NHqD6o5VWWnWwhhjtn6HGdDr+t26sqnrlA8F5RBL4JYd+qIdQ51uRs//sjdlSv1ZcdiJsx/pyaWxjpttkmJ7bjgVp9WJU9hIHTB6knx9wgZ/zkXjx3OM76VsRVzms2hlVsrdrkt4ZjTdn3bmf3X2LZIhTQWFR5HDz0yMpL27dvj7u5OuXLlGDJkiP7UZkJCAr169cLHxwdvb2/q1q3LvXv38p27YcOGbNiwIVfdjz/+yAcffMDhw4epXbs2Xl5e+Pr6Ehwc/NB72bFjB1WrVsXAwCDPIaj7WbRoEb6+vnh5eVG5cmX69evHnTt39OtydXXN9b6pQ4cOWFhY5Bpj2rRpmJiYcPfu3Vz1u3btombNmlSsWJGKFSsyZ84cnhbKoBdRnMZ8jtlrr+nLVz8fQ/y//+rLHk6W/NK7GgaZh4O+vdOM/aW70q30Ub1fPTU5ieWTxnJm3z/cj5HWiEn1J/Guz7vsLrMsl/vlxD9R7Ag+rWQCXnIeRw9dSkmnTp3o0KEDZ86c4fTp09y7d4/PP/8cgOnTp+Po6MixY8cICwtj7ty5GBoa5jt/jx49CAoKylUXFBREjx49MDMzY+HChRw/fpz169czdOhQvcEtCFdXVwICAujZ836x2NysX7+eadOmsW7dOr0Oe506dbh27Zq+j7W1Nbt37wbgzp07REVF5RknMDCQGjVqsHz5cn1ddHQ0PXv25JdffuHkyZPs2rWLX3/9VS81/KQURj5X8RIijIxwmTmDiz17kXzmDKSmEvnhR5T+cxEmFSoA8Hp5eyZ19mV4iC5k8avoOti7ZdBdM58ll3y4l2ZMeloaq36YRLMBg/Fp1DzXHBqhYWi1oZS0KMm3YgLaDAMq3tB9iYRtv4LWUMPrncsrZbynwKyBW57Z2IN+aZxv/YP00Ldt21bgNSYmJrzzji5PvFarZdq0abi5uTFu3DiioqIoXbq0vr+Hh0eB6+rSpQtjxowhOTkZY2NjIiIiuHr1KnXr1s31N1WyZEmKFy/OjRs3sLa2pkyZMnTr1o2tW7cC8Ndff1G+fHnKlCkDgCaf09E5+fbbb5k6dao+KYdWq8Xf3z9Xn+7duxMUFETdunVZtmwZnTp14vjx4/r2c+fOce/ePaZMmcKECRPo27cvoBM469u3r16W2N7enu+++46xY8fSpk2bB66rMKgdehFGa2lJqTm/YlBcl/giIy6OywMGknotO0NRl2ouDGniri8Pinida67N6FHmCDZGumgXKTPY+MsM9q9alu88XT26Mrn+JHaXX8IZu2x1vCP/u8zelUoW/2WlsHroWT/nzp3j+PHjeTTMixUrhqurK2fPnsXf35/JkydTu3ZtxowZw5kzZwoc387Ojpo1a7J+/XpAtzvv1q1bng3Cvn37SElJySXfW6xYMfbt28fgwYMZmuOMxtO4b4AmTZqwY8cO0tPT9evKSVZSj3r16nHq1CmuX7+uH/v+z6d69eq5vgyeBGXQiziGJUpQas6vaMx1+UTToqK4PGAA6ffi9X2GNnWnc1WXzJKg/cUupDj50L30UYobZ/s3dyyax87ABfm6Ulq6tWRa42nsqrCY87bZh5QOrLtI6NqIZ3Jviv+WwuihF6RVnlXv5+fH+fPnGTFiBLdu3aJGjRqcOFGw4mNOt0uWuyUnUVFR9O7dm/nz5+faeWf169GjB3v27OFxOXbsGH5+fpQrVy6Xn16r1VK3bl2Cg4NJTEzU7/6zCAoKonv37mg0Gjp16kRISEiuz+F+ntZTbKFcLkKIlsB0QAv8LqWcdF/7CCBL+s8AXcJoBynlraeySsUTYVKxIs7Tp3N5wABITyf55EmuDB1KqZ9nIwwNEUIwsZMPUXcT+edcDKkY0Ca6P9ttvqGrOMqKSC8iE3S5HPetCEEIDXW7984zT4NSDZjV/CeGaIaiPW5A6TteAOxdeR6hgaotSiv3y2NSkFvkWeLl5cXSpUv15VmzZnHz5k2qV89XFyrfa0AnbXv58mX9DtrCwoJOnTrRqVMnNBoNa9euLVCErEOHDnz88cccPHiQxMTEXDvn2NhY2rRpwzfffMNrOd4XQW4D+bC/uc8//1zvwz58+LBeB75Ro0b4+Phw+PBhBg8erM+RmkX37t3p2LEjY8eOzVV/9OhRzpw5Q7NmzQBISUmhbNmyDBo0CC8vL0JDQ2nXrp2+/4EDB/D09HzgGgvLQ3foQggtMAtoBXgCPYQQuWaXUk6RUvpJKf2AUcB2ZcxfLCzqvk6J8eP05fhdu7g6ajQZyckAGBlo+PmtalRw1L2pv5ZuQa/4oRiamtGpVBhlLWL01+5dHkz4jvx9urVK1OLXlr/wj09ILundf1ecZ/VPR4m/m/wsbk/xDHgcPfQmTZqQkJDAwoULAUhPT+eTTz6hb9++mJmZsXv3bm7fvg3oDF14eHgun/r9WFhY0LBhQ/z9/XPtzlNSUujYsSNvv/02b775Zp7rsnbTwcHB1K5d+4Fr/vbbb/VPGaDTWh8+fLj+5S+Qx5iD7gll1KhReZ4aAgMDGTt2LBEREXq//5UrV7h48SKDBg0iICBAP1dMTAyfffYZn3766QPXWFgK43KpCZyVUp6XUqYAQUD7B/TvAQQ+jcUpni7WnTtj/8EH+nLs6tVEdOtO8oVMiQBTQ+b2qYG9hREABxKdGKn5GAMttHM5gZt59nf0xl9nEHkyf79fZYfK/N5qDnsrL+Wq5Vl9/aXjMQSN38u5Q9fzvU7xYvE4euhCCJYvX05ISAju7u5UqFABExMTJkyYAOheFjZo0AAfHx+qVKlC9erV6dy58wPX0aNHD44cOUL37t31dYsXL2bHjh0EBATo588ykqBLhlGrVi2mT5/OtGnTANi/fz8uLi6EhIQwYMAAvLy88p2vdevWfPTRR7Rq1QpPT0/q1KmDVqulRYsWeT6f4cOHY29vn6s+KCiIjh075qrr2LEjQUFBlChRgkWLFvHee+9RsWJF6tSpg7+/P2+88cYDP4PC8lA9dCFEF6CllLJfZrk3UEtKOTifvmZAJFD+YTt0pYf+fJBSEv3lV9zJ9OkBCDMzSowbi1XmH9WhS7fpPudfktN0pz6/Kr6Td2J/JjldS9DFytxM1vnjTSyL0eub77F2KpHvXOfvnmfAuoG4napF5ahGudoqvuZE3W4VMDZVgVYFofTQH48yZcoQGhqax9C+jDwLPfT8HFAFfQu8AewuyJgLIfoLIUKFEKGFzUuoeLoIIXAaPw6nr75EGOl24jIhgasjPuXqmDFkJCZSxdWGad2ys7mPu16X3TbtMNam08HlOGZa3SGRpLhYlk8eR1J8/gdDylqVZWHbBSTUuMBKz5+IM7qtbzv5bzTBX+/j6pnb+V6rUCgencIY9EigVI6yC3C1gL7deYC7RUo5R0pZXUpZ/VVJCfUiIoTApkcPygQHYZTDf3l3yVIuvPkmyWfO0NqnBJ+1rJh1BX2iuhBhUwcro2Tau4SjFbrd+62rkayaNon0zNRg91PCogTzW86n1ev1Cak8mdP2+/VtcbeSWP7DIXYEnyY5Mf/rFUWfmJiYXK6brJ+YmJiHX5wPERERRWJ3/jgUxuViAJwGmgBXgP1ATynl8fv6WQEXgFJSyvg8A92Hcrm8GKTfiyd67FhiV6/W1wkTE0pOnIBly5aMXHqM4FCdUJcpSewuMR3b20c4edeBNVcr6q/xbdqSpv0GPTCiYPeV3YzeNRqbSFfqne+KSbq5vs20mBF1OpXDo5aTioTJRLlcFE/d5SKlTAMGAxuAE8BiKeVxIcRAIcTAHF07AhsLY8wVLw5aC3NKTvmOEt98jTDRpTOSSUlc+WQ4satW8U1Hb+qUswMgERNa3hhMolV5KlrdoLb9Rf04R/+3noNrV+Y7RxavO7/OkjeWYO9tTEjlyVyyyo4/ToxNYXPACZZ/f5CbkXHP4E4ViqKPShKt0JN0+jRXhgwlJTPqBSEoMWECokUbOv28m3M3dN/VZY1us97iGwzjo1h71YOTscX1/dt9PAr3mnUeOE96Rjq/H/ud2YdnUybGlzoRHbFIsda3CwE+DV2o+YYbxmb563y8CqgdukIliVY8NiYVKlD6z0UYZ2q9ICVRo0cj161kft+aOFjqdNbPp9jQ5d5w0k2saVHiNCVMY/X918yYQmR42APn0Wq0DKg8gPkt55NS+iZBft9yqOT/SM9UepQSjm6N5M+v/uVi2OP5URWKVxFl0BW5MLC1xXVBAMZZuwIpifp8DJb/W03ge7Wwt9AZ9aMpJeiTNByNoTEdXMKxNtQdvEhPTWXFlK+5cSnioXNVdazK0nZL6VSpA3tLryLEd3Kuw0iJcamsnnWE0HURSrnxOSGE4JNPPtGXp06dqj8ZOXbsWJydnXO9yLxz584DJXKFEPTunX3KOC0tDQcHB9q2bZvv/A0bNsx1MjU0NJSGDRsC6CV8q1SpQsWKFRk+fLi+X0BAAIMH54msLvIog67Ig4GNDaXnz8Mkx3Hk6K++wm6zzqjbmevCHXcnl2Vw2lBMDTPo7BqmD2dMTohn2YQvib3x8ANEZoZmfFH7C35p+gtGdpLVlWazscJ84g0zNaQl7P37PBvmhJGSpCJh/muMjY1ZtmwZN2/ezLd92LBhufRcrK2tHyiRa25uTlhYmP7k5aZNm/SqhgVx/fp11q1bl29bvXr1OHToEIcOHWL16tV6SdtXFWXQFfmitbbGdf48TLy99XXR48Zjt2klf733GraZRn1tsi+fy4FYGyXR2TUMI43O6N67fYslE74kIfZuvuPfz+vOr7Os/TLalGvDebvDLPGdkuuU6blDN1gy+QB3rj346Lni6WJgYED//v31py0LQ1RUVC4j7eHhgXFmWkSAVq1a6bVTslQJH8SIESP45ptvHtjH1NQUPz8/rly5Uuh1FkXUMT1FgWitrHCdN5dL/d4j6ehRAK598w1ORob89V5Lesz5l9sJqfyV9DoOJncYZvIn7V3CWXbZm3Sp4fbVSJZPHkfXLyZgmBlB8yCsjK2YVG8STVyb8PWer1ntOYvaFzvgE90AgNtR8YRMCqWZvydlfF6tOOPvu+XvkngafBK8+oHtgwYNwtfXN1+9kWnTprFo0SIAbGxs2Lp1K/7+/jRv3pwlS5bQpEkT+vTpg7t7tkRz9+7dGT9+PG3btuXo0aP4+/uzc+fOPGNnkZUlaevWrVhaWubb5/bt25w5c4b69esX5paLLGqHrngg2mLFcJ37O6aVK+vroseNx+XcMf7s9xrWmVEo05Na8wdtcDW/S6uSp8g6TBx99jSrpk0s8OBRfjQr3YyQN0Lwc/Jjt9sytpRbRJrQZVFKSUxjzeyjhK5VfvX/imLFivH2228zY8aMPG05XS5ZCSUeJpHr6+tLREQEgYGBtG7dulBrGDNmTL679J07d+Lr64uTkxNt27bFycnpMe+yaKAMuuKhaC0tKTX392yfeno6V4YMpey9aBa9WwsrU0NA8GVSD9aLungUu0kTx3P66y8cPsDGX6YjMzIKPaejuSNzW8zF39uf08X3s8L7x2zpAKmT5N0VckYZ9f+IoUOHMnfuXOLjC3fMJEsid/bs2bz11lusXbs2V3u7du0YPnx4HndLixYt8PPzo1+/frnqs5Qf/82RRhF0PvSjR49y7Ngxfv7551wCXa8iyuWiKBRaCwtcfv6ZiG7dSIuOJuPePSIHvk/F4CAWvVuLnr/9S1xyGh8m9ucvszhq2B4hPs2If2NcAQjfuRUTC0sa9nmv0CdBDTQGDKs2jKrFqzJ612iW+k6l+em+lIzVPb4f3RKJQPD6m0U/zd3D3CLPGltbW7p27crcuXPzpGO7n927d+Pp6YmNjY1eIjcrMiULf39/rKys8PHxyZXO7v6k0Dn5/PPPGThwIGXLls3TVqFCBUaNGsXkyZMJDHx1xV7VDl1RaAwdi1Pql5/RmJkBkHr1Kpc/GISXnRHz3qmBiaGGVAzom/ARpzXlqONwER/r7OS5B9et5N9lQQUNXyANSjUg5I0QKpQoy+pKszlnd0jfdmTLZXYvOat26v8Bn3zySZ5ol2nTpuUKW4yIiCiURK6LiwtDhgx5pPlbt27NgzSgBg4cyI4dO7iQeTAuICAAFxcX/U9OffOiijopqnhk7m3fzuX3P4BMF4pls2Y4T/+RHWdj6LdgP6npEnvustJsPE7pUay5UpHTcdn/ERu/M4AqLR9d/zk1PZUfDvzAX8f/osmZPpS7la0IWamRI426ehapnbo6KapQJ0UVzxyLBg1wHPO5vhy3aRPXv/+eBhUcmN69ChoBN7Gie+KnxGqtaVXyFKXNs2Vyt8z/lfCdWx95XkOtIZ/V/IxZzWdx1Hcd52yz/aUntl5jyYIdaqeueKVRBl3xWNj27Iltn7f15Vtz53F78WJa+5RgUmdfAC5JR3omfkqSgQXtXcKzJQKA9bOnce7A3seau65zXZZ2XIJRixu5ElJf/zedH35aRHyK0odTvJoog654bIp/+ikWjbOTF0ePG0/i0aN0rV6KL9vqImLCZRm6JY4kxcCMTqWOY2+sM7YyI4NV0yZx+fjRx5rbytiKSQ0m0vxdLyLts0PiTI478+UPP3Ey5uQT3NmLg3rieHV5nN+9MuiKx0ZotThPnZIrnDF63Hhkejr+dd0Y2lQXjXJcutEtcSTpBsZ0LnUMq/t0X66dP1vQFA+lRbnmDP3sTeKcs3OulI2oweyZy1h6atlLbRBNTEyIiYl5qe9B8XhIKYmJicGkEAfycqJeiiqemJTISM63aYtMTgbAaexX2HTvjpSSSetO8uuO8wD4inP8ZTyRtJQMgi76Ep+mOw5ubmNL70nTMbe2eew1pKWms3D6ZhLPZkfinrM9jGmLW4x5/XNMDUyf4A6fD6mpqURGRpKUlPS8l6J4DpiYmODi4qLXwcniQS9FlUFXPBVuzJrFzZk/AaCxsqLcurUY2NoCELD7AuNXh5MhwU+cZZHRRJKSBcEXfUnK0P2xunh68+aYb9FotY+9hvT0DFbO3c/Vg9k+9MhipzlTawvfNZ1EWau88csKxcvGE0e5CCFaCiFOCSHOCiFGFtCnoRDisBDiuBBi+5MsWPHyYdevH4aldKlnM+7e5foPP+jb+r7uxu99qmNupOWwLM/bKZ9hYpxBG+eTZEkERIaHsTNwwROtQavV0KFfTbwaldDXucRWwOuf1ryzrB/rLuSv2KdQFBUeatCFEFpgFtAK8AR6CCE87+tjDcwG2kkpvYA3n8FaFS8wGmNjHD8frS/fXbKUxBzHsBtXdGTJ+3UoaWXCQVmBPimfYW+exOsO2WnsQlct48zef55oHUIjaNC1IrXaZ+/Gi8e70vzIe3y9cRKT900mPSP9ieZQKF5UCrNDrwmclVKel1KmAEFA+/v69ASWSSkvAUgpHy6ErShyWDZsmDvqZfzXyPRs41mpRDFWDHqdyi5WHJAe9EgZQ2nbe5S1yM5KtH7mJG5dvsiTIISgeqsyNHqrImSeM7JOcqRD2BDWHNjMx9s+JjEt8YnmUCheRApj0J2ByznKkZl1OakA2AghtgkhDggh3iYfhBD9hRChQojQGzduPN6KFS80jqNHITK1r5PCw7mzeHGu9uLFTAjqX5tW3k4ck2XpkPI1pZ0S9ZEvKakZrBw3mNS71554LZ51S9Kyvzcarc6qm6da0yHsI06GXabfxn7cSrr1xHMoFC8ShTHo+Z2lvv9NqgFQDWgDtAC+EEJUyHORlHOklNWllNUfpMmgeHkxcnHBbkB/ffn6j9NJu5XbcJoaaZnVsyp965ThGrb0TP8SmxJaDDJzisbESTZ+3gsZc44npVyV4rzxkR+GJrqXrcbpZrQ5MZCkcGN6r+3NpdhLTzyHQvGiUBiDHgmUylF2Aa7m02e9lDJeSnkT2AFURvFKYvfuuxi66lQW739BmoVGPwCZeAAAIABJREFUI/jqDU/erOZCEsYM135IhoOVvv3kDRMOTegKZzc/8XpcPGzo+ElVzK10WZa00oDGZ9/CIdyTt9a8xZEbRx4ygkLxclAYg74fcBdCuAkhjIDuwMr7+vwN1BNCGAghzIBawAkUryQaY2McR4/Sl+9/QZqFEIKJnXxo5e2ERMN0897EWdrq27dHOnJlTl/Y8DmkJT/RmhxKWdJlZHXsnC30dTUiW+EX3pr+6waw5dKWJxpfoXgReKhBl1KmAYOBDf9v76zDozy2Bv6blbi7JxCCBAgenKKlpUJboO6lSA3qdr/eOvXbXqq3lLpBgbZQSoHixYK7Q4gRIUZ8Zb4/dtlNiBAiG2R+z7MP+553Zt6zA3uYPXPmHCxGepaUcrcQYpIQYpK1zV5gEbAD2AjMkFLuaj61Fec7noMH4zFsmO0646WXkRUV1drptBrev7krA+MsJeW+9RvDKSdLmTEzGn5LjSd/5QyYMQyyDzRKJw9fF254ojuRHewHmNplJzJs1908teRZZu2fVUdvheL8Rx0sUjQbFalpHLnqKtsJUp+bbiL0pRdrbFtSYeSOLzayOTkPT8Mpbk6fjYvZ0s/XqYRborfj6qKHK9+A7ndBI9LkmkxmVv6wn73/2HO157qeYFG7zxk/4E7u6XRPg8dWKJoblT5X0SI4RYQT+OhU23X+zz+TN6vmVbCbk46Zd/eiQ6gXp/SezA8ehVFYNjLzKtz4LTUeY0UZzJ8Cs+6AkoZHqGi1GobcXjVW3a80hHE7nuLPheuZvmW6yp+iuCBRBl3RrPjddRdeV11luz7xyquUbN1aY1tvVz3f3JtIqwB3TriEsDjQ7rJJK/Xmr4y2SAnsnQ+fDoDj62scpz6cjlUfcW+8LaxRb3bmsiM3kTpL8PbK/2CW9a+BqlCcDyiDrmhWhBCEvvoKzu3bWwQGA2mPTMGQWfPZs0BPZ769L5FwH1cOu8eyxreP7d6+wiDWZkdbLgrT4KurYO2H0IjVdNvEEMY+3ROfEHvyrqj8eLS/xDHtx4/UqVLFBYUy6IpmR+PqSsSH09F6W8ISjdnZpE2ZgrmGTVKACF83Zk/qS6sAd7Z6d2Wnpz3TxPqTUewqaWW5MBth8fPw8+1Qmt9g/QKjPLnpuUQ6D7Wfl3MxuuOzqiPvvPkDRadKGjy2QuFIlEFXOASniAjC//MeaCz/5Eq3bSPz1ddqbR/m48rPE/vQLsSLlf4DOeYaZbu3JCWKZNdEe+N9C+B/l0FGw+PJdU5aBt3YjqunJGB0t6er9UgOZ8YLyziy90SDx1YoHIUy6AqH4d6vH0FPPGG7zp81i7yfaw8VDPJ04acJfegc6cuioBFkO/kDYDab+X2vL+mtKmWYyDsGM0bApi8b5YKJ7hDAhFeGU9HGnppCX+rGwg92sWLeLsxmtVmqOH9RBl3hUPzuuRuvq6+2XZ949VVKNm+utb2vuxPfj+9Nt9YhzA8eRZHWHYCK0hJmL03jcMLLYI1bx1QOC6bCr5PB0PCiEK5uTkx9/EZMI5Ip1RUBINCw+68sfnp7LUV5quCE4vxEGXSFQxFCEPrKyzh36GARGAwcv288hQsX1trH00XP1/cm0r1DDL+HXEWpxlKWy1hRwa+zlrK9w2sQ3MneYfuP8M21UNTwBHBCCB4Zcw8hd5WQ7nXQJs87Ws53L6/l6I6cBo+tUDQXyqArHI7G1ZWI6dPR+lpObMqyMtIee5ysd96pkm63Mq5OWmbc1ZMeXeOZHXY9BTovyw0pWfrTbBa73o3scpu9Q8oGmDEUshpXLPr2Xjdz+UPt2Rq9GDOWMEZTKSz8eAerZx3AZFChjYrzB2XQFS2CU0Q40d99i1N0tE12csYXpEychCm/5ogVZ52Wj2/rzv1XJTI/agyZTvaMnTv//I3p20KpGPoKtgSh+cfhixFwaGmjdL0s6jKemHg3q7t/R5FTnk2+Y1kqv7y5idz04jp6KxSOQx39V7QopsJC0p98iqKV9qqF+shIIj78EJd21TIw20jLL+W1X7eiXfEdMaX2FLjZ3q24/cY+dNrwJBishlZo4co3IfH+Rul6ovgEjy56gvBNPWmVl2CTa3TQ7/o4EoZEIDQNT0mgUNQHVSRacV4jzWayp0/n5Cef2mTCzY2wadPwGnl5nX1X7stg3vQPiMyx54LLcgogaugIJue+iuZUpUzPvSfB5a+BVtdgXYsNxTy18ilyN0n6JI9GJ+0V2X1a67l2fC88/VwaPL5CcTaUQVdcEBQuXkz6M88iS+wHeXxvv52gxx9D4+paa79yg4nP3v8Yw6a/bLIirTtH4obxceC3uOfssDeOGwnjvgQn9wbraTQbeTvpbf7csoxhB+8goCTCfk9fQZur3Rl1+QBEIxKIKRS1oQy64oKh7MABUh96GMNxuxvFKSaGsLfexDUhoY6esGbBfNZ/9z+E9d+0QehYFTiI/8Stpl1upXzn4T3h1lng7t8oXXdk72DGti8oXu9G17RhaCptSWWHHabvja0Y0W4oGqG2qhRNhzLoigsKU0EB6c88S9Hy5XahVkvAxAkETJqEcHKqte+xHVuZ+87ryHJ7Eeh1vr0YG53MzeVz7A3928Dtc8E3uoZRzo1DeYf4dtkcXFa1xqvc/p9EkVM+exKWct1lI7i69dXotfo6RlEo6kejDboQ4grgA0CLpXjFG2fcH4ylatFRq2iulPLlusZUBl1RF1JKCubOJfO11zFXcsG4xMcT9uYbOMfF1do3Nz2V2a+/SFG2/bj+Pve2RIQaeEH/LeJ0SVyPYLh9DoR0bhKdj2YfZ943/+B8MLiKfHvoco6228DtnW9jbNuxuOsb7u5RKBpl0IUQWuAAMAJL7dAk4BYp5Z5KbQYDT0gpr65xkBpQBl1RHypSU8l45llKKv1bEU5OBE6dit/ddyE0NbszSotOMf/daaTssfvP051DKA8J5H33z9FJg0Xo7AU3fw+tBjWZzts3Hmb1D4cRZfbN15Nu6fzd5hsMvkXc0v4W7ul4Dx5OHnWMolDUTGMNel/gRSnlSOv1swBSymmV2gzGgQZ98ODBDeqnuDARUjK0pITRp4qo7LTY76Tna29v8rTamvsBnT2diXaz9yrQeXI8tD3T3T7GU2M5wl9hFry+N5oV2b41jtMQnLXu9Ay7ljB3+y8JozCwIXo+O0NWoSkQeP3thbawZt0VFzcrVqxocN/GViwKB1IqXadaZWfSVwixXQjxpxCiYy2KTBBCbBJCbMrObvixbMWlhRSCv93dmebvz3GdfdXbrsLAv3JO0rO05twqEthxqpxdp8ptFYi8jadok7aD8ace4YTZBwAnjeSF+GOMjag5R3tDKDcV80/Kj2w5sRCj2fJrQCf19D92A1fvnYynsz8FVxdQEV5zCmGFoiHUZ4U+DhgppRxvvb4DSJRSPlypjRdgllIWCSFGAR9IKWt3cqJcLoqGIQ0Gsj/6iJP/+xzM9mP3XtdcQ8j//Qutl1eN/Q5v3siCD97EaK1vahRaNgUmMs3vO9qIyrHqk2Hka6BpupVzbkYxS7/cQ/bxUzaZGTOH/beyLWIp9wy6lTvj71Rhjop60dgVeioQWek6Akiv3EBKWSilLLK+XwjohRABDdRXoagVodcTNHUq0d99iz7CHv9dOH8+R0ZfR/GGjTX2i+2RyI0vvI6rl6XIhk6a6J21juezb2aTudKJ1A2fwOy7wFBa4zgNwS/UnTFP9aD7yGhbVgINGuJO9mDc9qfZ8X0uL/72BuWm8iZ7puLSpD4rdB2WTdFhQBqWTdFbpZS7K7UJATKllFIIkQj8AkTLOgZXK3RFYzEVFZH52usUzJtnFwqB/8QJBE6ZUuOKN/9EBnOmvUD+iQybbLt3Z24OSmKULsneMCIRbvmp0bHqZ3LiSAFJC45yfE/1Ite5QSncMG4Q8R1jVAoBRa00RdjiKOB9LGGLM6WUrwkhJgFIKT8VQjwETAaMQCnwmJRybV1jKoOuaCoKF/3FiX//G1NBgU3me8cdBD/3bI1GvaSwgF/ffJmMQ/ttsgPusfQMOcH9TovsDf1aw22/gH9sk+uceayQpIVHSN5R3bDrPQRxXUKI6RJIRHtf9E5q41RhRx0sUlz0GDKzyHj2WYrX2tcRfvfcQ9BTT9Zo1A3lZfzx37c5vGmDTZbuHIJ3qJ5/ufyIRli/F27+llOlETV+fxpNTuop5s5aRcUBZ0QNHlCdXkNEBz9aJQTQqmsArh61H6pSXBoog664JJBGI2lPPMmpRfZVtv/94wl87LEajbrZZGLZl5+yfcmfNlmhzpPckEje9piJi7DGqutcYODj0O8R0DdP4q2VO9fx69zVhGe3w9XoWWMbnbOW3te0ImFIBBqtSidwqaIMuuKSQRoMpD32GKeW2HOg+0+eRNCUKTW3l5JN8+ey6oevbLVIK4SeQ0EdeNv3a/xEkb2xTzRcMQ3ajYJmiEjJKsni+dX/4ujBDGJyOxOd1wm/0pBq7fwjPBh8aztCWns3uQ6K8x9l0BWXFLKigtQpU6vkggl4+CECH3yw1j6HN2/gj/++g6HMEt0igb1+HXk04E86aZOrNo4dZsmvHlBnZG6DMEsz3+z+hg+2foDRbMSrNICYvE70zBuBU2Glk6UCOg4Io891sbi4qxwxlxLKoCsuOcwVFaQ+/DDFK1fZZIGPPkrAxAm19sk+foxf33qFwuxMm2yfR1uCg008oZ+Nj6hUmUijhz6T4bKnwLlmF0lj2HNyD0+veppjhccsjzNr6Z19JQnJQxEm+yapq6ee/mPjaJsYrOLYLxGUQVdckpjLy0l94EGK//nHJgt64nH8x4+vtU9JYQG/v/s6aftsUblkOAezOnggDzv/zq3aZfYNUwDPUBj1DnSod9aLelNiKOGtpLeYc9CeJdKzzI/+x8YQk9epSttWXQIYOb4TWr3yrV/sKIOuuGQxl5WRMmkyJevX22SBU6cQMGlSrX1MRgNLZ3zMruVLbLI8Jz/mBl9NK302L+q/opfmQNVO8aPhyrfAs7rPu7EsSV7CW0lvcaLYmj1SQkxeZwYcHYNHhT3/TOuugYy8v6PaML3IUQZdcUljLi0lZeIkSjbaT5EGPPAAAQ8/VKubQkrJloW/seLbL+ybpW6+/OA3ilN6T67T/MPz+u8IFIX2Ts7ecPkr0P3OJt80NZlNrM9Yz7xD81h2fBkGswGdyYk+ydfSKXOgrZ1PJw03Tx6EVhn1ixZl0BWXPObSUlIffJDitetssrpCGk+z75+V/PnRe5hNJgB0nr78FnoNRwzueFPEc7ofuEm3omqnmIFwzQfNciAJoKC8gD+O/MGvh35l78m99EkeTdeMobb76ZF7uOy2dgyPHqaqJV2EKIOuUGBxv6Q+/AjFq1fbZH533UXQM0/XadQPb97A/P+8gclgiUt38fImvfedfH/ICEA/zS6m6WYQramUrVHnYglvDO8OYd0hNKFZNk/35e7jhz0/kLvEiQ6Z/WzyHSEryOiyjfEJ47my1ZXoNSoS5mJBGXSFwoq5ooK0qY9StMxeY9T31lsJ/tfztRbLAEjeuY1f337Flq3R2d2djvc8wfSdFWw5no8L5UzVzWW89g90wlzDCAIC2kJYN4jsBQk3NamBTy9M5+fPVuN0ONAm2xz+F0lRCwlyC+K2DrcxJm4M3s4qdv1CRxl0haISsqLCcqJ08WKbzGfcWEJeeqlOo562fy/z3niR8hJL+KLe2YXRT/6LnTKIN/7cR2peKR3FUd7Uf04nzbE6dSjUB3Kg+wuE9R1HqLdLk4Qcmk1mFvxvKynb7TltNkTNZ2u45ZCVq86VG+Ju4LYOtxHpGVnbMIrzHGXQFYozkEYj6U8/Q+Eff9hkniOGEzrtDbQetdf8zDx6mDmv/R+lpyyboVqdjiF3T6DtZZfz9bpkPlp2iKLyCjqLoyRojpAgjtBZc4S2IhWtqP5dW2LqwX+d7ycsOo5uUb70i/UnIcKnwZ/LZDTz52c7Sd550ibbGPkHW8IX21P3Cg1DI4dyV8e76BrUtcHPUrQMyqArFDUgTSYynv8XBb/+apM5x7Uh4qOPcIqKqrXfydQUfnn1eYry7JkS4wcOYfj9D1JoEHzw90EW7sygoNSAwWT5frlSRrxIprvmIBN0C6pExxRLZ94zjuMr00hMaBnWPojnrupAbGDDao4aDSYWfLiDtP15NllW8CHmR/0Pg65qzvXuQd0Z33k8A8IHqINJFwjKoCsUtSDNZrLefJPcr7+xyTTe3oS/9y4e/fvX2q8gK5Pf3n2N7GNHbLKAqBiufexZfEPtFRoNJjMlFSZKK0yUVBgpqTCRlXUCv3Wv0zXr1ypj7jTH8KxhPLtka3QawZ19Y5gyLA5vt3Pf0KwoM7Lw4x2kHci3yZz9BTu7L2RZ0aJq7dv7tee+TvcxInoE2ias1qRoepRBVyjOQv68Xznx738jK6w1PjUagh5/HL9776l15WqoKOfvLz5h9wp7IjAnVzeueGAqcYn9auxThePrkfOnILL32UQmKfjJNJR3jOPIwwsfNz2PjWjLrYlR6M4xttxkMrP2l0PsWJ5qk+mdtcSP9eEvzS8sOLwAozRW6RPlGcW9ne7lmthrcNKqVL3nI8qgKxT1oHTHDlIffgRjpj2Xi9c11xD6ystoXGpPm7tz2WL+nvmJLawRoOc1NzDwlrvQaM+y2jVWwNr/wqq3wWgvdl0g3XjXOI7vTcMxoSUuyIPnrurA4LaB5+wa2b/hBCu+24fRYI++6T4ympjhbnyz9xvmHJxDqbFqyb0w9zBe7v8yvUN7n9OzFM1PU1QsugL4AEvFohlSyjdqadcLWA/cJKX8pa4xlUFXnI8Ys7NJfWQKpVu32mRObWLxGnkFbr164dq1S43GPfPIIX5/b1qVxF5Rnbsy+vHncHJ1O/uDc4/Awifh0NIq4n3mSF4y3sk6c0cAEmP8ePzytvRufW6l8XJST/HnpzspzLH/pxHZwZdhd8dT4VzC93u/54d9P3Cq4lSVfrd3uJ0p3afgomuePPCKc6dRBl0IocVSU3QEloLRScAtUso9NbRbApRhKVOnDLrigsRcUUHmK6+SP3t2tXtCr8clIQG3Xj1x69ULt1690DhZXBOlRadY9NF7HNlir00aEhvH9c+8iJtXPeK/pYQDi2DRs5B3tMqtP0yJvG64jTQsceYD4wJ4bERbukX51jRSjZQVG1gyczfHd9s3c53ddPQfG0f7viGUGEuYvX82X+z6gvxyu+891juW1we+Trx/fL2fpWg+GmvQ+wIvSilHWq+fBZBSTjuj3VTAAPQCFiiDrrjQyfvpZzJff93uV68BfXQUUTNm4BRpieuWZjPr5vzIul9+tLXxC49k7POv4OkfUL8HG8th3Uew6h0w2FP2lkhn3jOO5UvTFZiwuHKGdwji0RFt6RhWvwNDZrMkacFRNi08VkUe2cGXwbe1xyvAleySbP699t+sTrOfqNUJHZO7TubeTvei0+jq9zkUzUJjDfpY4Aop5Xjr9R1AbynlQ5XahAM/AEOBL6jFoAshJgATAKKionokJyef2UShOK8wnjxJ8fr1lCQlUbIxiYojR6q10YeHE/3dt+hDQ22y7UsWsvSLT2yJvTwDAhn7/Kv4hYVX618rhemw9EXY8XMV8S5zDE8b7me3bGWT9W7lx9D2QQxtH0SbII+z+tlT9uWy4rt9VVwwOmctfUa3pvPgCISAXw7+wttJb1fxrycEJjBtwDSivGoP61Q0L4016OOAkWcY9EQp5cOV2swG3pVSrhdCfIVaoSsuUow5OZRs2kTJxiTy58xBWlMBOEVHE/3dt+gC7Ufv961dxZ8fvofZZIkkcfXyZsyzLxHcus25PfT4evjjccjcZROZ0fCF8UreM46hlKr+7QhfV4a2D2JI+yD6tvbHRV/zxqyh3MSG+UfY8XcKlc1ASGsvhtzeAb8wd44XHufZNc+yI3uH7b6nkycfDfuIbkHdzu1zKJqEZne5CCGOYjuHRgBQAkyQUv5KLSiDrrjQKVq1ipQHHwJrdItzXBuivvkGna/dr31s22Z+e+91Ww4YJ1dXrnvqBSLjO5/bw0wGWDsdVr5ZJRomRxfCYyV3scrcpcZuTloNoT4uhHq7EOrtav3T8j42yINWAe6cOFrA8m/3kZtud+9odRr6jWlD58HhmKSJmbtm8sm2T2xhji5aF94d/C6DIgad2+dQNJrGGnQdlk3RYUAalk3RW6WUu2tp/xVqha64RChcsoS0qY+CNb2uc3wHor/6Cq2Xl61N2v69zHvzRcqLLQZTq9cz7N7JdBoy4txPZ548DAumwtFVVcRHI67jPf1Elh85RVG5sZbO1Wkf4sm1XcO4Kj6EzI3ZbP7zGGaT3SbEJAQw7M4OuHjo2ZWziwf/fpDcMsumqk7oeGXAK1zduumrNSlqpynCFkcB72MJW5wppXxNCDEJQEr56Rltv0IZdMUlRMGCP0h/8kmbv9y1Sxciv/iiSk6Y7OPHmPP6CxRXShcQ3r4jI+5/EP+Ic/RHSwnbfoDFz0Op/Xg/Yd2oGPMNSXluLNuXxfJ9WRzJKa59nDPoEe3L1dEBOG3KI7/Sat3dx5kR98YT3taX5MJkJi6ZSFpRmu3+M4nPcFuH287tMygajDpYpFA0M/lz5pLx/PO2a7devYj832doXF3tbTJPMHfaC+RlpNtkGq2OXtfeQO8bbkLv5HxuDy3KhkVPwy57zVHcA+HGbyDaclL1VJmBEwVlZBSUkVFQavkzv4y0/FKSjuVSbqye6tdJCG529iT4hP2gFAJ6XhlDr6tiyCnPYeKSiRzKP2S7PTFhIg92fVDlg3EAyqArFA4g94cfyHz5Fdu1W2Ii4R+8X8WnbigrY93cn9i8YJ6tChKAd3AIw+6dTKuuPc7toVJC0gxY9AyYra4WjQ6ufBN63ldnKbyiciNL9pzgt23prD6Yg8lc1Ra0Nmi4utQZ50o2PzTWm+H3xiM9Knjo74fYlr3Ndu/GtjfyXO/nVC6YZkYZdIXCQZyc+SVZb71lu9ZHRRH50Yc4x8VVaZd9/BhLP/+I9AN7q8jb9h3IZbfdg1dg0Lk9+NgamHUXlOTYZd3vhFHvgO7sK/+TReUs3HWC37elkXTM7sbxMMOoEieijXYjrXfR0ve6WGL7+fH4qsdZk7bGdu/y6MuZNnCaygPTjCiDrlA4kJNffEHW2+/YrjXu7oS9/TaeQ4dUaSfNZnYuX8yq77+0bZiCJcd615FX0/uGm3D1OIeqRvkp8PNtkLHdLovoBeO+Bu/6x78fP1nCdxuS+TkphYJSA0JCYrmOAWU6NNhX/MWeWkq7eLDD5UsOFK+06C60vNnvU3qFdsfdWYuzTq3Wmxpl0BUKB3Nq6VLSnnoaWVJiEQhB4KOP4n//+Gp+5pKCfFZ8+wV7Vy+vInd2dydx9Di6XXlN/f3rhlKYP6XqYSQnTxj+b4sLpo6KTGdSWmHit21pfL0umb0ZhYQZNVxRosffbB/DhGSDs4GtUb+hDVhDadpNGAvt8elOWg3uzlrCfV25p18rrusWjlaj/OyNQRl0haIFKNt/gNQHHsCQZo8I8brqKkJfe7XGBF+pe3ax6vsvyTi0v4rcwz+A/jfeTvygIWjq45+WEtZ/DIv/BbKSAzwiEa79LwR1OKfPIaVkU3IeX689xt+7MulerKF3uQ5tpdX6SY2ZJT5ppJjrTm/QNtiDJy5vx4j4YLWB2kCUQVcoWghjXh5pj0yhJMmesMulUyciPvoQfXBwtfZSSg5uXMuaH7+uEg0DEBgVw9D7JhPRvmP9Hp68Fn5/GE7ao1HQ6GHAVBj4BOjPPYOi0WQmu6icQwfz2D8/mfLMqml3D/gJNnlKig1GisqMGM0125duUT48NbI9fWPPLWukQhl0haJFkRUVnHjtdfJ/trtB9JGRRH/1Jfrwmn3bJqORncsWs+6XHygpyK9yr+Nlwxh02z24edej9qihDFa/C2v+A+ZKYYj+beCaDyBmQIM+E4A0S3atSmPdr4cxlNkjduIHhHHZre0QAsqNZgpLDfyw8TifrzpCcYWpyhgD4wJ4ZFgc3aN86+WKKTOYSDqWy4HMIgI9nYnycyPKzw1fN/0ls+JXBl2hOA/I+/FHTrz6mu1UqT4sjKivv7JlaqyJirJSNs2fR9L8Obb0AWDxrw+4+S4Sho+snxsma6/Ft56yoaq82x1w1bv1ioSpjaK8MpZ/u4/je+yHpmK7BzHi3ni0Oru//WRROR+vOMy365KpMFWNf/d01pHYyo++sf70jfWnQ4gXGo1ASsnh7GJWHchm1cFs1h85SZmheuy8p7OOSKtxbxXoTp/W/iTG+OHqdPFtyiqDrlCcJ5xavpy0R6YgrflfdCEhRH/1JU4xMXX2K8zJYsXXMzi4cW0VeXDrOIbfN5mQNm3P/nCzGTbPhKUvQbm1SHXsULh9bp3x6vXBbDKz7Nt97F9/wiaLjPfjyomd0TtXNapp+aW8v+QAc7akUotHBh83PV0jfTiYWURafmnNjc6Ck1ZDj2hfBsQF0L9NAJ3DvS+KDVll0BWK84ii1WtIfeghW6ZGXWAgUV99iXNs7Fn7Ht22mWUzPyU/M8MuFIL4gUNIHD22fmkECtOt1ZH+hgfWgV+rs/epB9IsWTP7YJUapiGtvbjqwS64uFcvdH0o6xSfrTzCqoPZZBaWV7tfG60D3OkZ40t+iYHjuSUczy2h5AxXTk14uegsK/dWfiS28iM+1KvWOq1Gk5kDmUVsT80n+WQJMf5udIvypU2QR4v/p6AMukJxnlG8fj0pkx9AllpWn1p/f6K+nIlL27OvtI0VFST9PocNv86qUscUoHWPRBKvHUt4+3pUF8o9An6tG6R/bUgp2bTwGBvn2ysu+Ye7c80jXXH3rtmtI6XkaE4x646cZN3hk6w/cpKcIntREQ9nHf1i/RnUNpBZeoxoAAAXXklEQVTL2gYS6edWrf/J4gqLcT9ZwvbUfP45lMOBzKI6dXV30tI92pfEGD96RPuSU1zB9pR8tqfksyu9oEbXjruTloQIH7pF+dA10ofu0b4EeDTcXdUQlEFXKM5DSpKSOD5xki1WXevjYzHqHeoXVph/IoNlX33G0a3Vv0dh7eJJHD2G1t16Ic4h9ryp2L4shTWzDtquvQJdueahLvgEn72+qpSSQ1lF7E4vJMzHlW5RPuhrWUnXRWZhGf8cymHNoRz+OZRzTr8C6otGwE29Innmig54u1X/FdIcKIOuUJynlGzZSsr992O2nhTVeHsT9dmnuHbtWu8x0g/sZeNvczi8aX21e/4RUXQZcSXtBww+t1OnTcD+9Rn8/c0+pNVRrnfWctmt7WjXO8ShegDWzdUiNhzNZePRXJKO5pJeUFZnnzBvF7pE+tA60J2DmUVsTckn+1TN/ykEeDjxf1fHc22XsGaPtlEGXaE4jyndsYPj4+/HXGjZqBQuLoS/9y6eQ4ee0zgnU4+T9Ptc9q5ZYauSdBqtTkdsj950HDKcmITuaLSOif44uj2bvz7fjalSVsf2/UIZdFPbapuljiY1r8Ri3I/lsjOtAF83J7pG+pAQ4UOXCG+CvKrG6UspSS8oY9vxfLal5LHxaC7bUwuqtBnUNpBXR3ciyv/sv0QaijLoCsV5Tunu3aSMvx9TnjUxlkZDyAv/h+/NN5/zWKdO5rD5j1/Z8fdfGMqqR4i4+/jSYeAQOg0egX9E7SGTTUX28VP8NWMXBVl2XXxD3Bh5fyf8wz2a/fnNhZSSv3Zn8uLvuzlRaF/tO+s0TBkex/0DWzfIVXQ2mqLAxRXAB1gKXMyQUr5xxv3RwCuAGTACU6WUa6oNVAll0BWKqlQcO8bx+ydgSEmxyfwnTSRwypQG/YwvKypi39pV7F6xhBOHD9bYJrZnb/qOueXc65yeIxVlRlb+sJ8DGzNtMq1ew8Ab44gf0PxuiubkVJmBdxcf4Ot1x6rUZm0X7MnrN3SiR7Rfkz6vsSXotFhK0I0AUrGUoLtFSrmnUhsPoFhKKYUQCcAsKWX7usZVBl2hqI4xJ4eUSZMp22UvCO193XWEvvIyQt/wTbeclGR2r/ybPauWVTt5CtC6ey/6jr2VkNi4Gno3DVJK9q3LYNWPBzBWiiBp1SWAhCERhLX1RXMBx4lvT8nnuXk72Z1eaJO1CfLgr6mDmjTUsdmLRNfQfqaUss6temXQFYqaMRcXk/rYYxSvtNcNde/fn/APPqhS1q5BY5tMHNu+hR1//1XjJmqrbj3pO/YWQtu0a9Rz6iI3vZi/ZuyqUpQaLKXu4noF0zYxmIAIjwty1W40mflq7THeXXyAUoOJnyf0oXfrps1X01iDPha4Qko53np9B9BbSvnQGe2uB6YBQcBVUsp1NYw1AZgAEBUV1SM5ObkBH0ehuPiRRiMZL75IwS/28nK6kBDce/fGtWsXXLt2xTkuDqHTNfgZ2cePsX7OTxzY8A+cYQdad+/FkLsn4hPcPBEphgoTa2YdZM+a9Brv+4a60zYxmLa9gvEKcK2xzflMWn4py/ZmckffmCYfu7EGfRww8gyDniilfLiW9oOAF6SUw+saV63QFYq6kVKS89HH5Hz4YY33hZsbrp064dq1Kz43XH/W9AG1kZOSzPq5P7N/3eoqhl3n7MyAm+6g25XX1C9fTAPIPFrI/vUZHNycRVmRocY2QTFexPUMIrZ7EJ5+554h8mLDoS4Xa5ujQC8pZU5tbZRBVyjqR/6cuWROm4a5qPaTj8LVlfC338JzeJ3rqDo5mZbChrk/s++fVchKedRD2rTl8omPEBgV0+Cxz4bJZCZlTy4HNmZydHs2xorqpzTBUtO0jdW413by9GKnsQZdh2VTdBiQhmVT9FYp5e5KbdoAh62bot2B+UCErGNwZdAVivpjLi+nbM8eSrdvp3Tbdkq3b8eYkVG1kRAEPvYo/uOrV0U6FzIO7WfxZ9PJOX7MJtNotSReN47e19+ErhGbs/WhoszI0e05HEzKJGVPLuaaMngJCG/rQ1zPYGK7B9WYK+ZipSnCFkcB72MJW5wppXxNCDEJQEr5qRDiaeBOwACUAk+qsEWFonkxZGZSunUrWe/9B8Px4za59/XXE/LSi2icGl6o2WQ0kPTbHNbP/QmT0X5IyS88kuH3TSayY0KjdK8vZcUGjmzL5tCmTFL35Z3p6gdAoxFEdvQjrmcwrboE4OTS8H2FCwF1sEihuIgx5uWR9vAjlFT6Prn27EHE9OnofH0bNfbJ1BQW/2866fv3VJFHxHeizw03E9Wpi8OiUUoKKziyNYuDm7JIP5QPNZgunV5DTJcA+oxujXdg853WbEmUQVcoLnJkRQUZL71EwZy5Npk+MpLITz7GuU3jDg1Js5ltSxay+oevq508DW3bnr433ExM1x4ODTMsyivn8JYsDiRlknWssNp9JxctQ+7oQJseQQ7TyVEog65QXAJIKcmdOZOsd961RatoPDwIfPghvEePRutTj5J1dVCYk8W6X35kz6plmE1V848Ht46jzw03Eduzt8PjxwuySzm4KZNDmzI5mVY1tr3ToHD6j2uDTn/xVC5SBl2huIQ4tWwZaU88aUvLCyCcnPAcORLfG8fh2rNno4xuQVYmG3+bza7lS6slAQtvH8/w+x4goBkjYurixJEClszcTWGOPbdKQKQHI8d3qlfq3gsBZdAVikuMsn37SHngAYzpGdXuObVqhc+4cXhff12jfOynTuaQ9Pscdvy9qEqhDY1WS4+rrqPvmFvQuzg+bry81Mjyb/dyeEu2TaZ31jLk9vbE9Qp2uD5NjTLoCsUliLm4mII//iB/1uwquWFOI/R6vEaNIvSNaY1asRfl5ZL0+xy2/bWgiivGMyCQYfdOIrZH7waP3VCklOxamcaaXw5iNtptXPzAMPqPaXNBR8Iog65QXOKU7dlD3uzZFP4+31ZMA8DziiuIeP8/TfKMnJRkls74mLR9u6vI2/Tqw5C7J+AV4PgNyuzjp1j0+S4Ks+2buZ5+Lgy+vR1R8U2bY8VRKIOuUCgAy6q9cNEi8mbNomz7DqJmfoF7v35NNr6Ukt0r/2bldzMpO2WPPtE5O9P/xtvpfuW1DiuucZqKUiPLv9vHoc1ZVeTt+4TQf1zcBXcoSRl0hUJRjbL9B3COa9MsNUdLTxWy6vuv2LV8cRV5cOs2XD7xEYJimrY49dmQUnJgwwlWzz5IebF9I9fVU8+gm9sR2z3wgsnuqAy6QqFoEdL27WHpjI/ISbFnVhUaDT2vvp6+Y29B7+zYTdOSwgpWzzrAoU1VV+utugQw8Ka2F0TyL2XQFQpFi2EyGkj6fa4ljUClaBif4FCG3/8g0Z3rXxC7qTi6PZuVPx6gON9e9FkICG/nS1yvYFp3DTxvXTHKoCsUihYnNz2NJZ9PJ3VP1YibDgOH0OeGm/ALi3CoPuWlRtbNO8zuVWnV7mm0gqiO/sT1DCIm4fzKD6MMukKhOC+QZjM7ly9h1fczKa8UbYMQtOnZm57XjCG8XZ3Fzpqc9IN5bJx/lLSDteeHie7kT2yPIKI7+be4cVcGXaFQnFcU5+ex7MvPOLC+elLWsLYd6HntDbTp0btZNmxr42z5YcBS2Doq3o82PYKI6RyAk6vjjbsy6AqF4rwkdc8ukubP4ciWpGr3fEPDSRh+BW169W22Uni1UZBdyqHNmRxMyuJkWs2FRbQ6DZHxfnQcEEZUJ3+HFbhWBl2hUJzX5KQks2n+PPauWVEtPwxAQGQ0sT37ENszkZDWcQ5duedmFHN4SxaHt2RVS/51Gq8AFzoNiqBD/9Bm30xtigIXVwAfYClwMUNK+cYZ928DnrZeFgGTpZTb6xpTGXSFQnEmp3Jz2PrnfLYv+ZOK0pIa27j7+hHbI5EOA4cQ3i7eofHjeSeKObwlm8Nbs8hJqb5y1+o1tO0VTOfBEQRGeTaLDo0tQafFUoJuBJCKpQTdLVLKPZXa9AP2SinzhBBXYqlBWmcCB2XQFQpFbZSXlLB/3WoOb1pP8s5tVcIdK+MfEUXCsJHEDxqGi4eHQ3XMzyxhz5p09qxNr3JY6TQhrb1JGBLR5AnBHFokWgjhC+ySUobXNa4y6AqFoj4Yyso4tmMLhzdt4PCWpCopBU6j0zvRtu8AEoZdQVi7Dg5dtRsrTBzclMnOFWlkHz9V5V5UR3+uebhLkz6vLoNeny3acCCl0nUqUNfq+z7gz/qrp1AoFLWjd3EhLrEfcYn9MJtMpO/fy541y9m3ZiWGckvec6Ohgj2rlrFn1TL8I6Lode0YOgwY7JC8MTonLR36hdG+byiZRwvZuSKVQ5uzMJsknQfXua5tcuqzQh8HjJRSjrde3wEkSikfrqHtEOBjYICU8mQN9ycAEwCioqJ6JCcnn9lEoVAo6kVFaQl716xkx9JFZB07XO2+d1AwideNo+Nlw9DqHHvqs6SwgoNJmSQMiUA0cfSLQ1wuQogEYB5wpZTywNmUUi4XhULRVGQeOcT2pX9WWbWfxtM/kF6jx9B5yOXonJxaSMOmo7EGXYdlU3QYkIZlU/RWKeXuSm2igGXAnVLKtfVRShl0hULR1JSXFLN10QI2//ErZUVV/dnuPr50u/Ja2vTqg19YxDn72aWUFOWe5GTqcdurvKSEgMhoglrFEtwqFg+/5s+x3hRhi6OA97GELc6UUr4mhJgEIKX8VAgxAxgDnPahGGt74GmUQVcoFM1FRVkp2xcvZNOCeZQU5Fe77x0UTKtuPWnVrSeR8Z2rZH00GgwUZJ4gLyONvIw0ctPTOJmazMnUlFpDKU/j7uNrM+5BrdsQ0joOT/+AJv1s6mCRQqG4JDGUl7Hz779I+n0ORXm5NbbR6Z2IiO8EQpCXkUZhVhZSmpvk+XG9+3HtY881yVinaWyUi0KhUFyQ6J1d6D5qNAkjRrF/7SoOb9pA8s6tVJTaS9IZDRUc276lXuM5u7njHxGFf2QU/uFROLu5kZV8hKyjh8k6eqSa/z64VZsm/TxnQxl0hUJx0aPT6+l42TA6XjYMk9FA2r69HNmaxNGtm8hNS6naWAi8AoLwDQ2zvELC8IuIIiAiCndfv1p972azibyMdLKOHibz6GGyjh4mrG17B3y6Sqorl4tCobiUKcjKJG3/HvTOzviGhuMTHHpeR8Mol4tCoVDUgndQMN5BTXs8v6VwXMoyhUKhUDQryqArFArFRYIy6AqFQnGRoAy6QqFQXCQog65QKBQXCcqgKxQKxUWCMugKhUJxkdBiB4uEENnYk3mdKwFAThOq01CUHlVRelTlfNDjfNABlB5n0hg9oqWUgTXdaDGD3hiEEJvOls1R6aH0UHqcHzooPRynh3K5KBQKxUWCMugKhUJxkXChGvT/tbQCVpQeVVF6VOV80ON80AGUHmfSLHpckD50hUKhUFTnQl2hKxQKheIMlEFXKBSKi4QLzqALIa4QQuwXQhwSQjzTgnocE0LsFEJsE0I4rFKHEGKmECJLCLGrksxPCLFECHHQ+qdvC+nxohAizTon26zFxZtTh0ghxHIhxF4hxG4hxBSr3KHzUYcejp4PFyHERiHEdqseL1nljp6P2vRw6HxYn6kVQmwVQiywXjv8u1KLHs0yFxeUD10IoQUOACOAVCAJuEVKuacFdDkG9JRSOvSQghBiEFAEfCOl7GSVvQXkSinfsP4n5yulfLoF9HgRKJJSvtOcz66kQygQKqXcIoTwBDYD1wF348D5qEOPG3HsfAjAXUpZJITQA2uAKcANOHY+atPjChw4H1ZdHgN6Al5Syqtb4rtSix4v0gxzcaGt0BOBQ1LKI1LKCuAnYHQL6+RQpJSrgDPLl48Gvra+/xqLMWkJPRyKlDJDSrnF+v4UsBcIx8HzUYceDkVaKLJe6q0viePnozY9HIoQIgK4CphRSezw70otejQLF5pBDwcqV3RNpQW+OFYksFgIsVkIMaGFdDhNsJQyAyzGBQhqQV0eEkLssLpkHPJzFkAIEQN0AzbQgvNxhh7g4Pmw/rTfBmQBS6SULTIftegBjp2P94GnAHMlWUv826hJD2iGubjQDHpN5bZbymfUX0rZHbgSeNDqgrjU+QSIBboCGcC7jnioEMIDmANMlVIWOuKZ9dTD4fMhpTRJKbsCEUCiEKJTcz/zHPRw2HwIIa4GsqSUm5vrGY3Uo1nm4kIz6KlAZKXrCCC9JRSRUqZb/8wC5mFxB7UUmVY/7ml/blZLKCGlzLR+kc3A5zhgTqw+2jnA91LKuVaxw+ejJj1aYj5OI6XMB1Zg8Vu32L+Pyno4eD76A9da97p+AoYKIb7D8XNRox7NNRcXmkFPAuKEEK2EEE7AzcDvjlZCCOFu3fxCCOEOXA7sqrtXs/I7cJf1/V3Aby2hxOkvipXraeY5sW6+fQHslVK+V+mWQ+ejNj1aYD4ChRA+1veuwHBgH46fjxr1cOR8SCmflVJGSCljsNiJZVLK23HwXNSmR7PNhZTygnoBo7BEuhwGnm8hHVoD262v3Y7UA/gRy080A5ZfLPcB/sDfwEHrn34tpMe3wE5gB5YvTmgz6zAAi8ttB7DN+hrl6PmoQw9Hz0cCsNX6vF3AC1a5o+ejNj0cOh+V9BkMLGiJuahDj2aZiwsqbFGhUCgUtXOhuVwUCoVCUQvKoCsUCsVFgjLoCoVCcZGgDLpCoVBcJCiDrlAoFBcJyqArHIYQoujsrc55zBVCiJ5nyOZZM9gdEkIUVMpo108IMUMIEd8MergKIVZaj7zHCCFKrdn19gpL5sG7zj7KOT0vUAixqCnHVFz46FpaAYWiqZFSXg8ghBgMPCGlvLrS7bXN9Nh7gblSSpPlnBGHpZTdrHq0BuYKITRSyi+b4mFSymwhRIYQor+U8p+mGFNx4aNW6IoWxbrSnCOESLK++lvliUKItdZV7lohRDur3FUI8ZM1qdHPgOs5Ps+2ohdCFAkh3rQmWFtqfeYKIcQRIcS11jZaIcTbVt12CCEm1jL0bdRy6lBKeQR4DHjkLJ9ttRCiayVd/xFCJAghLqv0K2Pr6VPKwK/W5yoUFhx1Skq91AtL/uczZT8AA6zvo7AcnwfwAnTW98OBOdb3jwEzre8TACOWvPQ1PW8w1pN5lWQrTrfHcrrzSuv7ecBiLKleuwDbrPIJwL+s752BTUCrM8Z0Ak5Uuo4Bdp3RxgcoPctnuwt43/q+LbDJ+n4+lmRwAB6V+oYDO1v671W9zp+XcrkoWprhQLzVTQHgZV2BegNfCyHisBhevfX+IOC/AFLKHUKIHY14dgVw2g+9EyiXUhqEEDuxGGWw5OlJEEKMtV57A3HA0UrjBAD5Z3lW5UyhtX222cD/CSGexOLC+coq/wd4TwjxPRa3TqpVngWE1eNzKi4RlEFXtDQaoK+UsrSyUAgxHVgupbxeWHKMr6h0u6nyVRiklKfHMgPlAFJKsxDi9HdDAA9LKf+qY5xSwOUsz+qGpfAFwCvU8NmklCVCiCVYijDciKXCDdJSXecPLPlh1gshhksp91mfWWXeFJc2yoeuaGkWAw+dvqjkQ/YG0qzv767UfhVWv7Gw5NhOaGb9/gImW9PjIoRoa82waUNKmQdohRA1GnWr0X4HmG4V1fbZwFLV5r9AkpQy19o/Vkq5U0r5JhaXT3tr27a0bJZPxXmGMugKR+ImhEit9Dq9UdjTuuG4B5hkbfsWME0I8Q+grTTGJ4CH1dXyFLCxmXWeAewBtghLQezPqPmX7WIsWRdPE3s6bBGYBUyX9giX2j4b0lIIoRCoHA0zVQixSwixHcuK/E+rfAjwR6M+neKiQmVbVCiaACFEN+AxKeUdjRwnDIsLpr20FD+oq+0qYLT1F4JCoVboCkVTIKXcCiwXQmjP2rgWhBB3YqlF+nw9jHkg8J4y5orKqBW6QqFQXCSoFbpCoVBcJCiDrlAoFBcJyqArFArFRYIy6AqFQnGRoAy6QqFQXCT8P3U76O1xPoDnAAAAAElFTkSuQmCC\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Loop over all the models and plot\n", "for i,model in enumerate(rmm_ds['model'].values):\n", " x=np.arange(0,46,5)\n", " y=np.arange(0,1.1,0.1)\n", " plt.plot(rmm_ds['bivarcorr'][i,:],linewidth=3.0)\n", " plt.xticks(x)\n", " plt.yticks(y)\n", "\n", "# Add labels, legend, hline\n", "plt.title('RMM Skill')\n", "plt.xlabel('Lead Time (Days)')\n", "plt.legend(modelnames)\n", "plt.hlines(0.5,0,45)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Multiple plots on a page " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We will loop over all the models and make an individual plot for each model, with all plots being on the same page. We will make use of the `plt.subplot` function in which you specify `plt.subplot(#rows,#columns, plot#)`, which defines a grid of subplots on the page. The plots are thenfilled across rows first, then columns to fill out the grid. \n", "\n", "Here is an example using our RMM skill for all the models. In this case, we have specified then number of rows and columns manually to make it easy to understand, but this could easily be generaized" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "# We have 6 models to plot, so we will specify 3 rows x 2 columns\n", "nrows=3\n", "ncols=2" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "image/png": 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E7CLu1V+S+H6ZDQ02oc2fyn8e0EJEmohINDAMmOx7gIhUc/cB3ApMV9WDgQ01cKpXjObjW3vSq2lNb9rY39bx6KTltgCIMXkLWCtgsB4B5kZE+Ofl7enbKrs18sGvltgIABPSCqz8VTUdGA1MBVYCn6vqchEZKSIj3cPaAMtFZBXO88A7iyvgQKlULpJ3b+pO/za1vGkfzt7E38Yvsak/jcldwFoBg/0IMKeoCA//uboLdavGALDvyAnu/3KJtQaakOXXOH9VnaKqLVW1mao+5aaNVdWx7vtZqtpCVVur6hWquq84gw6UmKgI3vhTNy71mfnri/nJ3PXZIuv1a8ypQq4V0FfVClG8OLSTd3va6hQ+mrM5iBEZU3xCcoa/woiK8PDvqzsztFv2Y8mvF29j9CcLOJ5uc38bkyVUWwF99W4eyy19smcBfOrbFbY6qAlJYV/5A0R4hGeHdOS6Mxp706Yu38nID+fbBYAxPkK1FdDXfRe2olXtygAcO5HJ3dYSaEKQVf4uj0d4YnC7k+b+/nV1Cnd8stBOfGPCSExUBP++urN3efDFyQd4YerqIEdlTGBZ5e9DRPj7oDaM6tfMm/bDip3c9dkiWxDImDDStl4V/npBK+/2m9PXM26uPf83ocMq/xxEhHsvaMWIs5t6075dsp37vrRRAMaEk/87qynntc4eDfTwxGXMSLI1QUxosMo/FyLCgwNbc2PveG/ahIVbeWiCTf1pTLiI8AivDO9C27pVAEjPVEZ+NJ+kXYeCHJkxRWeVfx5EhMcuacvwHo28aePmbWHcvC35fMoYE0oqlovkvzcmULtKOQAOHUvnpvfmsfvw8SBHZkzRWOWfDxHhqcvac0WX7BlMn56ykp0HbeYvY8JF3arl+e8N3akQHQHAlr1HGfFBIsdO2EggU3ZZ5V8Aj0d46vIONK5ZAXCu/B+dtCzIURljSlL7+lV5ZVgX3BWAWbB5Pw+MtxkATdlllb8fykdH8K8rOni3py7fyffLtgcxImNMSevftjYPXZS9gvHERdt4fdq6IEZkzOmzyt9PvZvFnrTy1yOTlnPg6IkgRmSMKWk3nxl/Uj+g56euthsBUyZZ5V8Ifx/UhrjKTseflEPH+deUlUGOyBhTkkScycDOaFrDm3b3Z4tZtvVAEKMypvCs8i+EqhWieHJwO+/2uHlbmGnjfo0JK1ERHt64thvxbj+goycyuPX9RFsC2JQpVvkX0oD2dbmwXW3v9p2fLWKX9f43JqxUrxjNOzd0p3JMJAA7Dh7jr58vJtMmAjNlhFX+p+HJwe2pXiEKcJr/b/94AWnpNv2vMeGkea1KvHZNV8QdAfD72t28/fv64AZljJ/8qvxFZICIrBaRJBF5IJf9VUXkaxFZLCLLReSmwIdaetSqEsOrw7t6h/0kbtrH0/b835iwc07LOG47O3stkOenrmbxlv1BjMgY/xRY+YtIBDAGZ23utsBwEWmb47BRwApV7QT0BV4UkegAx1qq9GkRy/0DWnu335u5kQkLk4MYkTEmGP56QUs6NawGOFMA/2XcQg4ds5FApnTz586/B5CkqutVNQ0YBwzOcYwClUVEgErAXiA9oJGWQred3ZSB7et4tx/8ainLt1mvX2PCSVSEh1eHdaFSOef5/6Y9R3hk4jKbAMiUav5U/vUB3wntk900X68BbYBtwFLgTlU95SG4iIwQkUQRSUxJSTnNkEsPEeH5oZ1oFlcRgGMnMvnzRws4aFf9JkTZI8DcNapZgacub+/dnrhoG+MXbA1iRMbkz5/KX3JJy3lJeyGwCKgHdAZeE5Eqp3xI9S1VTVDVhLi4uEIHWxpVKhfJm9cleK/6N+89wsMT7KrfhB57BJi/wZ3rM7RbA+/2o5OWsWF3ahAjMiZv/lT+yUBDn+0GOHf4vm4CvlJHErABaE2YaF6rEs8MyZ7+d/LibXw5357/m5BjjwAL8Pil7Wga67QEHknL4C+fLrSRQKZU8qfynwe0EJEm7hX8MGByjmM2A+cBiEhtoBUQVmNeLu5Y76Tpfx+dtJx1KYeDGJExARewR4ChqmK5SF4Z3oWoCKfBdOnWA7z4w+ogR2XMqQqs/FU1HRgNTAVWAp+r6nIRGSkiI93DngR6i8hS4Gfgb6oadlPfPXZpW+/z/6MnMrjjk4UcT7dlP03ICNgjwFDr/+Orff2q/M1nJNCb09czfU1o/Yym7PNrnL+qTlHVlqraTFWfctPGqupY9/02Vb1AVTuoantV/ag4gy6tKkRH8urwrkRHOr/WFdsP8ux3dtVvQkbAHgGGYv8fXzef2YRzWmb/XPd8vpjdh48HMSJjTmYz/AVY23pVeGhQG+/2/2Zs4De76jehwR4B+snjEV4Y2onYSs5CYLsPH+e+LxZbR2BTaljlXwyu79WY/m2y5///+1dLOXw8bPo8mRBljwALJ65yOV68qpN3+9fVKUxcZMP/TOlglX8xEBGeGdLBO///1v1Hef77VUGOypiis0eAhXNOyzhu7B3v3X7ym5XsS00LXkDGuKzyLyaxlcrx2CXZy/9+MHsT8zbuDWJExphguO/CVtSrGgPA3tQ0WwfElApW+RejwZ3r0a+V0+lHFf42fgnHTljvf2PCScVykTwxOHv2vy/mJzNr3Z4gRmSMVf7FSkR46vIO3tn/1qek8srPa4MclTGmpPVvW/ukdUAemrDUbgRMUFnlX8zqVSvPAwNPHvO7bKst/mNMuHn80nZUzroR2J3K69PWBTkiE86s8i8B1/RoRM8mNQDIyFQemrCUzEwb8mNMOKldJYb7B7Tybr8xLYm1Ow8FMSITzqzyLwEej/DMkI7eyX8WJx9g0mIb8mNMuLm2Z2O6NKoGwIkM5W/jl5BhNwImCKzyLyFNYitya58m3u1nv1vNkTQb+29MOPF4hGeu6Oid+3/B5v28P3NjcIMyYckq/xJ0e7/m3hm/dhw8xpu/hd3EZ8aEvVZ1KnN73+be7eenrmbL3iNBjMiEI6v8S1ClcpHcf2H2M783p69j2/6jQYzIGBMMo/o1p1XtyoCzCNiDXy21qX9NibLKv4QN6daAdvWcRc6OncjkOZv5z5iwEx3p4dkrO+Jx10n8I2k3nyduyf9DxgSQVf4lLMIjPHJxW+/2xEXbWLB5XxAjMsYEQ+eG1bjFpx/QP79dyc6Dx4IYkQknVvkHwRlNa5404ccTX6+wJj9jwtA957civmYFAA4dS+cfXy8PckQmXPhV+YvIABFZLSJJIvJALvvvE5FF7muZiGSISI3Ahxs6HhzYhugI59e/aMt+vl6yPcgRGWNKWvnoCJ4Z0tG7PWXpDhZv2R/EiEy4KLDyF5EIYAwwEGgLDBeRtr7HqOrzqtpZVTsDDwK/qaqtYpOPRjUrcFOfeO/2s9+tsuk+jQlDZzStyUUd6nq3X/hhdRCjMeHCnzv/HkCSqq5X1TRgHDA4n+OHA58GIrhQN6pfc2pUjAacZX/fnbExuAEZY4Li7vNbejv//b52NzPX7Q5uQCbk+VP51wd8u6Emu2mnEJEKwABgfB77R4hIoogkpqSkFDbWkFMlJoq7+7fwbo/5NYndh48HMSJjTDA0r1WJK7s18G4/P3W19QMyxcqfyl9yScvrr/ISYEZeTf6q+paqJqhqQlxcnL8xhrThPRrRLK4iAIePp/PyT2uCHJExebP+P8Xnzv4tvf2AFm7ez08rdwU5IhPK/Kn8k4GGPtsNgG15HDsMa/IvlMgIDw9d1Ma7/cmczbbYhymVrP9P8apfrTzXntHIu/3C1NU2778pNv5U/vOAFiLSRESicSr4yTkPEpGqwDnApMCGGPr6tapFn+axAGQqPD1lZZAjMiZX1v+nmI3q15wK0REArN55iK8X53WfZUzRFFj5q2o6MBqYCqwEPlfV5SIyUkRG+hx6OfCDqqYWT6ihS0T4+6A2iPuA5dfVKUxbbU1+ptQJWP8fk7vYSuVOmvjnpR/XkJaeGcSITKjya5y/qk5R1Zaq2kxVn3LTxqrqWJ9j3lPVYcUVaKhrW68KV3XLfrry0IRlpB63Vf9MqRKw/j/W+Tdvt57VlKrlowDYvPcIH8zaGNR4TGiyGf5KkfsGtKJaBeek37r/KM9PtfG+plQJWP8f6/ybt6rlo7jj3OxV//7z81r2pqYFMSITiqzyL0ViK5XjsUuy+0+9P2sj8zdZXylTalj/nxJyfa/4k6b9felHuxEwgWWVfylzWef69G3l3Ampwv1fLrGZ/0ypYP1/Sk50pIeHLsq+EfhkzmZW77BRQCZwrPIvZUSEpy7vQEW3x++6lFTG/JoU5KiMcVj/n5LTv83Jo4Ce/MYWADOBY5V/KVS/WnkeGNjau/3GtHWs2HYwiBEZY0qaiPDwxW280/7+kbSbX1bZKCATGFb5l1LX9mxM9/jqAKRnKg98tcQm/DAmzLSuU4XhPbIn/vnntytt6J8JCKv8SymPR3hmSEeiI53/oiXJB/hkzqYgR2WMKWn3nN+SyjGRAGzYnWpD/0xAWOVfijWLq8SovtlDfp77fjW7Dh0LYkTGmJJWs1I57jwvewGwV35eyz4b+meKyCr/Um5k36Y0iXUW/jl0PJ1/fmNT/xoTbnyH/h08ZguAmaKzyr+UKxcZwZOD23u3Jy/exu9rbUY0Y8JJdKSHBwdlLwD20ZzNJO2yoX/m9FnlXwb0aRHL4M71vNuPTlpuY/+NCTMXtK3NGU2d1ZEzMpWnvrVWQHP6rPIvIx66qM1JnX7G/rYuyBEZY0qSiPDIxW1PWgBs+hprBTSnxyr/MqJW5RjuH5A99v/1X9exbOuBIEZkjClp7epVZWi3Bt7tf367gvQMG/pnCs8q/zLkmh6N6NSwGgBpGZmM/Gg+B46cCHJUxpiSdO8FrajgzgC6Zudhxs3bUsAnjDmVVf5lSIRH+PdVnahUzmn+T953lHs+X0SmTf5jTNioVSWGUf2yhwC/+MNqW/XPFJpflb+IDBCR1SKSJCIP5HFMXxFZJCLLReS3wIZpsjSNq8QLQzt6t39etYs37Pm/MWHllj5NaFC9PAD7jpzg6SnW+c8UToGVv4hEAGOAgUBbYLiItM1xTDXgdeBSVW0HDC2GWI1rQPu6/N9ZTbzbL/6wmhlJu4MYkTGmJMVEnTwE+Mv5ycxatyeIEZmyxp87/x5AkqquV9U0YBwwOMcx1wBfqepmAFW11SeK2f0DWtMj3hn2k6nwl08XsuOAzf5nTLjo17oWgzrU8W4/NHEpx9NtCLDxjz+Vf33At0dJspvmqyVQXUSmich8Ebk+t4xEZISIJIpIYkqKDVEpiqgID69d04XYSuUA2JOaxqOTlgU5KmNMSXrsknbePkDrU1J587f1QY7IlBX+VP6SS1rOHmaRQDfgIuBC4BERaXnKh1TfUtUEVU2Ii4srdLDmZLWqxPDK8M7e7R9W7OTnlTuDGJExpiTVrhLDvRdkF7Wv/ZrEht2pQYzIlBX+VP7JQEOf7QbAtlyO+V5VU1V1NzAd6BSYEE1+ejeL5aqE7HG/j01eztE0a/ozxcM6/5Y+1/WKp2ODqgCkpWfy8MSlqNoIIJM/fyr/eUALEWkiItHAMGByjmMmAWeJSKSIVAB6Atb9tIQ8MLAN1SpEAc7wv1d/WRvkiEwoss6/pVOER3j68g543DbaGUl7eG/mxqDGZEq/Ait/VU0HRgNTcSr0z1V1uYiMFJGR7jErge+BJcBc4B1VtQfQJaRGxWgeHJg9+9/bv6+3RT9McbDOv6VU+/pVufnM7BFAT09ZyeIt+4MYkSnt/Brnr6pTVLWlqjZT1afctLGqOtbnmOdVta2qtlfVl4srYJO7od0a0q1xdQBOZCgPT1xmTX8m0ALW+dcE3n0DWtGhvtP8fyJDGfXJAg4ctRlATe5shr8Q4fEI/7ysPRFu29/s9XuZsHBrkKMyISZgnX9t5E/glYuMYMw1XansMwPo/V8utpsAkyur/ENIm7pVuPnMeO/2k9+sYNdBG/tvAiZgnX9t5E/xaFSzAs9dmT0D6NTlO+35v8mVVf4h5q7+LalfLXvaz7+NX2JX/iZQrPNvGTCwQ11u7B3v3X56ykoWbN4XvIBMqWSVf4ipWC6S532u/H9dnWKrfpmAsM6/ZceDg+P1Y1gAACAASURBVFqf9Px/xAeJbN5zJMhRmdLEKv8Q1Lt5LDflaP63E98EgnX+LRuynv9nDQHefTiNG9+byz5b/c+4rPIPUX8b0JpmcRUBOJKWwT2fLyLDlv41Jmw0qlmBd65PIDrSKebXp6Tyfx8kcuyETQJmrPIPWTFREfz76s5Eur3/Ezft4+3fbd5vY8JJQnwNXr66M+KO00jctI+/fr6YTLsRCHtW+Yewjg2qcce5LbzbL/6wmm+W5OycbYwJZYM61OWhQW28298u3c6z368KYkSmNLDKP8Td3q8ZnRpkd/y549OFvG9Df4wJK7f0aXLSCIA3p6/ny/nJwQvIBJ1V/iEuKsLD2Ou60bxWJQBUncV/XvxhtQ0BNCZMiAiPXNyW/m1qe9P+/tVS5m+yIYDhyir/MFC3anm+uK0XXRpV86a9+ksSD361lPSMzCBGZowpKREe4eVhnWlVuzIAaRmZ3PbhfLbtPxrkyEwwWOUfJqpXjObjW3vSt1X2bGrj5m3hvi+XWOcfY8JEpXKRvHNDAtW9QwCPM+LDRFsGPAxZ5R9GKkRH8vb1CVzRJXstlgkLt/KQrf9tTNhoWKMCb/ypm3ck0LKtB7nX1gAIO1b5h5moCA8vDO3E8B6NvGmfzt3CE9+ssJPfmDBxRtOa/GNwO+/2t0u28+6MjcELyJQ4q/zDkMcjPHVZ+5NaAN6dsZEXflgdxKiMMSXp2p6Nue6Mxt7tf323kiXJ+4MYkSlJflX+IjJARFaLSJKIPJDL/r4ickBEFrmvRwMfqgkkj0d47sqODOpQx5s25td1jPk1KYhRGWNK0iMXt6Wjz1Dg0Z8s5OCxE0GOypSEAit/EYkAxgADgbbAcBFpm8uhv6tqZ/f1RIDjNMUgMsLDy1d34bzWtbxpz09dzffLdgQxKmNMSYmO9PDq8C5ULhcJwOa9R3hwvPUBCgeRfhzTA0hS1fUAIjIOGAysKM7AsvTt27ckviasZUoEMa2HcKyq0wT45/dnUXfZx0Qf3R3kyExO06ZNC3YIJsQ0rlmRfw3pwOhPFgLODIC95tTkTz6PBEzo8afZvz7guyZsspuWUy8RWSwi34lIu1z2IyIjRCRRRBJTUlJOI1xTHDyaQdzayUQec573aUQ0u1pdTkZkTJAjM8aUhIs71uPantmdgJ/4ZgUrth0MYkSmuPlz5y+5pOVsE1oANFbVwyIyCJgItDjlQ6pvAW8BJCQk+NWuZHc6JWfNzkNcPmYGqWkZpMdUo+HVj/PBzT2IjLB+ocaEukcubsv8TftYteMQaemZ3DluIV/f0YeYqIhgh2aKgT+lejLQ0Ge7AXDS6jCqelBVD7vvpwBRIhIbsChNiWhZuzIvXd3Zuz1z3R7++e3KIEZkjCkpMVERjLm2K+Xdyn7trsO2AFAI86fynwe0EJEmIhINDAMm+x4gInVEnEUjRaSHm++eQAdrit+F7epwd/+W3u33Zm7kkzmbgxiRKU1s5E9oaxZXiYcvzl4B8N0ZG/l9rT2iDUUFVv6qmg6MBqYCK4HPVXW5iIwUkZHuYVcCy0RkMfAKMEytu2iZdce5zRnYPnsI4COTljF9jRUA4c5G/oSHa3o0OmkE0L1fLGb/kbQgRmSKg18Pc1V1iqq2VNVmqvqUmzZWVce6719T1Xaq2klVz1DVmcUZtCleHo/w4lWdaF+/CgAZmcqojxewesehIEdmgsw78kdV04CskT8mhIgIzwzpSM2K0QDsPHichyYus+F/IcafDn8mDFWIjuS/N3TnsjEz2H7gGIeOp3Pze/OYOOpM4iqXC3Z4JjhyG/nTM5fjermtgNuAe1V1eSC+3Ib9lqyI6s2g1RWAM/3vnK/eodLuEhnhbfxQ1M7w1o3b5Kl2lRj+e0N3KkY7HYC27j/KrR/YCmBhrDAjfzoBr+KM/Dk1Ixv2W+pV2LeOSjsXe7f3xPfnRLmqQYzIBJIEqyknISFBExMTg/LdpnB+XbWLW96fR9bKv2e1iOXt6xNsCFApJiLzVTUhwHn2Ah5X1Qvd7QcBVPVf+XxmI5CgqnnOGGVlQemVejydQa/8zqY9RwDo1rg6n404w4b/lhH5lQP2P2gK1K91LR67JHvept/X7uaW9+dZC0D4sZE/YaZiuUhevrozEe7yv/M37ePVX2z9j1Bglb/xyw2947mrf/a8TTOS9nDju3NJPZ4exKhMSbKRP+GpS6Pq3HN+9vDfV39ZS+LGvUGMyASCVf7Gb3f1b8m9F2QXAnM27OXGd+dy2C4AwoaN/AlPI89pRs8mNQDIVLhz3CIOHLXV/8oyq/xNoYw+twUPDGzt3Z63cR/Xvj2blEPHgxiVMaY4RXiEf1/dmSoxzgCxrfuP8rAN/yvTrPI3hTbynGY8fFH2LGCLkw9w2ZgZrN1p8wAYE6rqVSvPM0M6ere/XryNZ75bZRcAZZRV/ua03HpWU568rD1uPyC27j/KFW/M5I+1tgywMaFqUIe6DOuevdTLm9PX8/cJy8jItAuAssYm+TGn7bozGlOvagx3fLqQI2kZHDqWzo3vzmX0uc1pFleJquWjqFo+itpVYqhT1ZYHNiYU/GNwO/akpvHjip0AfDp3M4ePp/PSVZ2IsiGAZYZV/qZIzmtTm89v68Ut789j58HjpGcqL/+09pTjWtepzKAOdRnUoS7Na1UKQqTGmEAoFxnB69d25f4vlzBh4VbAeQSQejyd16/tavN/lBF2mWaKrH39qkwa1Ye2davkecyqHYd46cc19H/pNy7893QmLEwuwQiNMYEUFeHhxaGduO6Mxt60X1bt4tb3Ezl2wub/KAvszt8ERJ2qMXwxshefzdvCmp2HOHD0hPe1dtdh0tIzvceu3nmIuz9bzKrth/jbgNZ4PLnNGmuMKc08HuGJwe2oUj6SMb+uA+CPpN3c9uF83ryum7UAlHJW+ZuAqVgukpv7NDkl/fDxdH5euZMpS7czbXUKx90LgTenryd5/1FeHNrJCgpjyiAR4b4LWxMTGcGLP64B4Lc1Kdz+8QLG/qkb0ZHWuFxa2f+MKXaVykUyuHN93rwugcSH+9O/TW3vvm+XbOdP78xhX6qtF25MWXXHeS34y3nZM4D+smoXoz5ZwImMzHw+ZYLJr8pfRAaIyGoRSRKRB/I5rruIZIjIlYEL0YSSyjFRvHldN27sHe9NS9y0jyvemEnSLpsnwJiy6u7+LRjVr5l3+8cVOxnyxkz+98cGtu0/GsTITG4KrPxFJAIYAwwE2gLDRaRtHsc9izPvtzF5ivAIj13SlocvaoO4j/s37E5l8Gsz+H7Z9uAGZ4w5LSLCvRe04razm3rTliQf4IlvVtD7mV8YPGYGH87eZHMClBL+3Pn3AJJUdb2qpgHjgMG5HHcHMB7YFcD4TIgSEW49qymvX9OVmCjnzzA1LYORHy3gme9WkW7NhcaUOSLCAwNbc8e5zcnZj3fxlv08MnEZ93+5xC4ASgF/Kv/6wBaf7WQ3zUtE6gOXA2Pzy0hERohIoogkpqSkFDZWE4IGdqjLV38+k0Y1KnjTxv62jhvenctWayo0pswREf56QSvm/L0/T13enrNaxBLpcyUwfkGyXQCUAv5U/rmNw8r5v/Yy8DdVzXeAp6q+paoJqpoQFxfnb4wmxLWtV4WvR/ehX6vsv4kZSXs4+7lfuePThSxJ3h/E6IwxpyOucjmu7dmYD2/pSeLD/RnarYF33/gFydz35WK7AAgif4b6JQMNfbYbANtyHJMAjBPnAW4sMEhE0lV1YkCiNCGvaoUo/ntDd/7z81r+87MzQ2BGpvL14m18vXgbPeJrcFHHurSoXYlWtStTs1K5IEdsjPFXtQrRPDukIxEeYdw8pyH5qwVbQeH5oZ2IsLk+Spw/lf88oIWINAG2AsOAa3wPUFXv4G4ReQ/4xip+U1gej3D3+S3p2bQGr/6cxKz1e7z75m7cy9yNe73bNStG06VRdUb1a0aXRtWDEa4xphA8HuHpyzsgAp/OdS8AFm7lRKbaugBBUOBvW1XTgdE4vfhXAp+r6nIRGSkiI4s7QBN+ejeL5dMRZ/DNHX24vEv9k54XZtmTmsZPK3dy+eszue3DRJJ2HQ5CpOHHhv2aovB4hKcu68DwHo28aV8v3saIDxI5mmbTApckCdZazAkJCZqYmBiU7zZly44Dx/hmyTZW7TjEmp2HWLvzMEdzzB/uERjarSF/vaAltarYCoIiMl9VEwKcZwSwBjgf53HgPGC4qq7I5bgfgWPA/1T1y/zytbIg/GRmKo9/vZwPZm3ypvWIr8E7NyZQJSYqiJGFlvzKAZve15R6darGcOtZ2WOHMzOVNbsO8eovSXy7xJkXIFPhs8QtTFm2nYcGteHq7g0RseeIAeYd9gsgIlnDflfkOC5r2G/3kg3PlBUej/CPS9tRJSaK135NApxHe8PenM0Ht/Qg1vr0FDt7yGLKHI9HaF2nCmOu6crXo/twVotY775Dx9J54KulXPP2HDbuTg1ilCEpYMN+jRER7r2wFQ8NauNNW7H9IFe9OYtdB48FMbLwYJW/KdM6NKjKh7f05IObe9C4ZvZcAbPW7+HCl6fzyMRljJu7mQWb93H4eHoQIw0JARv2a3N+mCz/d3ZTnhvS0Tsp0PqUVIa9PZtdh+wCoDjZM38TMo6mZfDyz2t45/cNeY4frlW5HDUqRlOjYjTVK0ZTt0oMw3o0pHmtyiUcbfEqpmf+vYDHVfVCd/tBAFX9l88xG8i+SIgFjgAj8hv9Y2WBAZiydDt3fLrQe+42r1WJT//vDOIq2yOA05VfOWB3/iZklI+O4MGBbZg06kza1q2S6zG7Dh1n1Y5DzFy3h2+XbOedPzZw8at/MGnR1hKOtkzyDvsVkWicYb+TfQ9Q1SaqGq+q8cCXwO027Nf4Y1CHurwyrIt3zH/SrsNc8/Zsdh8+HuTIQpNV/ibktK9flcmjz+Tdm7pz7wUtubhjXVrWrpTrkEGAYycyuXPcIv713UqbcSwfNuzXFLeLOtbl5as7ex8BrN11mGvftiW/i4M1+5uwkZaeScrh4+xLTWNvahp7Uo/z6i9JrE/J7hh4VotYXhvelaoVch9ulJaeyea9R6hVpVypHpJUHM3+xcXKApPTpEVbufuzRWRdi5/VIpb3buphMwEWkg31MwaIjvRQv1p56lcr7007r01t7hq3iF9WOYtR/r52N/3//RvDujfkqoSGNHQXHNp58Bgfz9nMJ3M2e5shm8ZWpEODqnSoX5VezWrSrl7Vkv+hjAlBgzvXJ1OVuz9bDDjn5cs/reGvF7QKcmShw+78TdjLzFRe+nGNd7yxr97NalK9YjRTl+0gvYBHAh0bVOXano24pFM9KkQH97ra7vxNKHhh6uqTzsv/3pDAeW1qBzGissU6/BmTD4/HGW/8xrVdT5lcJKtjoG/FX7V8VK79B5YkH+Bv45fS86mfeWzSMpYmHyC3i+ujaRn8vjaFuRv2kp6RGfgfyJgQcff5LU+ax+OuzxaxaY/N3xEIdudvjI+09Ex+WbWTcfO2MH1NCr43+z2a1OCGXvFc0K42GZnKqh2HWJK8n7kb9vLDip2kpZ9akbeoVYnLu9bngrZ1WL7tAN8t3cG0Nbs4dsI5tnqFKC5sV4eBHerSu1nNgC1uYnf+JlTsTU3jklf/YOv+owC0qVuFr/7cm/LREUGOrPTLrxywyt+YPGw/cJTJi7ZxJC2DC9vVoW293IcPglNAjZ+fzCdzN7PhNGcWrF4hiicGt+eSTvVON2Qvq/xNKFm8ZT9Dx84izW0pG9ShDq8M60KkrQSYL6v8jSkhmZnK7PV7+HJ+Mt8t23HKAkRZmsVVJPV4BjtyTGMqAk9d1oFrejbK9XP+ssrfhJpP527mwa+Wercv7VSPl67qZBcA+bDe/saUEI9H6N08lt7NY3nysnSmLt/BVwu2snjLfhrHVmBg+7pc2K42zWtVJjNTWbhlP98t3c7XS7ax8+BxVOHvE5ZyJC39pMWMjAl3w7o3ZM3OQ7w7YyMAkxdvwyPw4lWdbQjgabDK35hiUrFcJFd0bcAVXRvkut/jEbo1rk63xtUZ1a85N7w7lyXJBwD457crOZKWwR3nNrfVCY3BWQjo0Yvbkp6hfDjbWQp44qJteER4fmgnuwAoJL/aS0RkgIisFpEkEXkgl/2DRWSJiCxyF+voE/hQjQld1StG8/GtPekeX92b9tKPa3j2+9W5jhgwJhyJCE8Mbse1Po/Fvlq4lfu/XGKzcxZSgZW/iEQAY4CBQFtguIi0zXHYz0AnVe0M3Ay8E+hAjQl1lWOieP/mHicNbRr72zpen7YuiFEZU7qICE8Obs/wHtkXAOMXJPOvKSuDGFXZ48+dfw8gSVXXq2oaMA4Y7HuAqh7W7NuTipy6zKcxxg8VoiN554YEzm/rTGTSqEYFruyW+2MDY8KVxyM8dVl7hnVvCEBspXJc7b43/vHnmX99YIvPdjLQM+dBInI58C+gFnBRbhmJyAhgBECjRkXrzWxMqCoXGcHr13bl6SkrufnMJtSuEhPskIwpdTwe4enLO1C1fBRDExrSvFalYIdUpvhz559bL4pT7uxVdYKqtgYuA57MLSNVfUtVE1Q1IS4urnCRGhNGoiI8PHZJO+/aAsaYU3k8woOD2ljFfxr8qfyTAd/2lAbAtrwOVtXpQDMRic3rGGOMMcYEjz+V/zyghYg0EZFoYBgw2fcAEWku7ngkEekKRAN7Ah2sMcYYY4quwGf+qpouIqOBqUAE8D9VXS4iI939Y4EhwPUicgI4ClytNj7JGGOMKZX8muRHVacAU3KkjfV5/yzwbGBDM8YYY0xxsEmRjTHGmDATtIV9RCQF2OTHobHA7mIIoSzlW5ZiLWv5lqVYC5NvY1UtE0NqglwWBPv/yfItHXmGar55lgNBq/z9JSKJxbE6WVnKtyzFWtbyLUuxFme+ZYH9/1u+xZVnOOZrzf7GGGNMmLHK3xhjjAkzZaHyf8vyLVOxlrV8y1KsxZlvWWD//5ZvceUZdvmW+mf+xhhjjAmssnDnb4wxxpgAKrWVv4gMEJHVIpIkIg8EMN+NIrJURBaJSGIR8vmfiOwSkWU+aTVE5EcRWev+Wz1A+T4uIlvdmBeJyKBC5tlQRH4VkZUislxE7gxEvPnkW9R4Y0RkrogsdvP9R4DizSvfIsXr5hEhIgtF5JtAxJpPvkWOtayxssDKAisLiqEsUNVS98KZRngd0BRnnYDFQNsA5b0RiA1APmcDXYFlPmnPAQ+47x8Ang1Qvo8D9xYh1rpAV/d9ZWAN0Lao8eaTb1HjFaCS+z4KmAOcEYB488q3SPG6+d0DfAJ8E6i/hTzyLXKsZellZYGVBVYW5JlvkWItrXf+PYAkVV2vqmnAOGBwkGM6iTqrF+7NkTwYeN99/z7O8saByLdIVHW7qi5w3x8CVgL1KWK8+eRb1HhVVQ+7m1HuSwMQb175FomINAAuAt7xSS7y30Ie+YYbKwsCyMqCAvMtkrJUFpTWyr8+sMVnO5kA/CG5FPhBROaLyIgA5ZmltqpuB+dkAGoFMO/RIrLEbQo8rWYjABGJB7rgXOkGLN4c+RY5XreJaxGwC/hRVQMSbx75FjXel4H7gUyftED8bnPLt6ixljVWFpzKygIrC7KcdqyltfKXXNICNSzhTFXtCgwERonI2QHKtzi9ATQDOgPbgRdPJxMRqQSMB+5S1YOBCi6XfIscr6pmqGpnoAHQQ0TaByLWPPI97XhF5GJgl6rOD0R8fuQbkL+FMsTKgpNZWWBlQZYi/W5La+WfDDT02W4AbAtExqq6zf13FzABp1kxUHaKSF0A999dgchUVXe6f6iZwNucRswiEoVzUn6sql8FKt7c8g1EvFlUdT8wDRgQiHhzy7eI8Z4JXCoiG3GapM8VkY8CEGuu+Qbyd1tGWFngw8oCKwsIUFlQWiv/eUALEWkiItHAMGByUTMVkYoiUjnrPXABsCz/TxXKZOAG9/0NwKRAZJr1h+O6nELGLCIC/BdYqaov+ewqUrx55RuAeONEpJr7vjzQH1gVgHhzzbco8arqg6raQFXjcf5Of1HVPxU11rzyLervtgyyssCHlQVWFhCoskCL0KuxOF/AIJweo+uAhwKUZ1Oc3sKLgeVFyRf4FKep5QTO3cktQE3gZ2Ct+2+NAOX7IbAUWILzh1S3kHn2wWkqXQIscl+DihpvPvkWNd6OwEL388uAR930osabV75Fitcn/75k98Qt8t9CHvkGJNay9LKywMoCKwtyzbdIsdoMf8YYY0yYKa3N/sYYY4wpJlb5G2OMMWHGKn9jjDEmzFjlb4wxxoQZq/zLKBEZJiJzRCRVnMU/5ojI7eJ4T0TSROSwz2ux+7l4EdE89kWLyIsikuymbxCRf+cTw+MiciJHXvt99quI7BSRSJ+0SDdezZHXhSIyXUQOiUiKiPwmIpcG/jdnTGgIQBmwIEd+se5nNubznQWd8yIifxGRZW5cySLyhYh08Dmmh4hMEZH9IrJXnAV2bvLZX0VEXhaRzW7+Se52bEB/gWHOKv8gEpHDBR+V6+f+CvwHeB6oA9QGRuJMBjENZ2jJc6paSVUrAT8CKiJJOMNCAJJwxjaPA4a7aQ8CCTiTRVQG+uEMh8nPZ1nf4758x84C7AduEJGjIrIQ2ODm7fvzXAl8AXyAM4lLbeBR4JJC/E7iROR7f483pjQpbFlQQBkQ7R62Hejrc252EpEJwBR3fycRWSXOinC9cYaLbfXj63M9513/Ae4E/gLUAFoC3wKTxJlO93KcaX874Ux2k+TuH+j+XNE4w+Ha4UzmUwXoDezBz0lsrCzw0+mON7RX0V/A4dP4TFUgFRiSx/5pwNfAP3PZ1xfnxFIgMpf93+BMy+lvLI8DH+Wxb5T7PQ/jnNzL3PQvgRfcfTfhTN+6GbgvAL/Pd3GmbA36/6297FWYV2HKgoLKAPeY94BNQEIu++Ld828V8LxPeiLwELAxn3zzO+dbABlAjxzpo4A73ffzgD0++5rizAlwk7t9K7ATd8W9Ivw+rSwo4GV3/qWMe9U6XkTmua8z3fQeIjITmA9UwFk1CxEpLyLjxFnc4TOgfN655/p900Qkwd08H3jCbW6b5X7nNBFZn9UE7169Py8i84A/45zwubnW/XcizhW7R5wZtc7CKZjAuTtohTN96zBx1qqeKSKt3O/6XUQ6+8Q6Q0Q6isg5kr2G9UJxZ2pzvyvre40p0/IqC3BmiasAPJzjfPGWBcA5QGQeWWfZinPeRYhIG5wlePe5eR0WkWfFWfTop6yyAOeuvoF7jLcscL/zcSBZVefm+J5rce78K+AsUexdS0BV1+MsVfsXN+kqnBuC360sKGbBvvoI5xe5XO3jrNfcx33fCGe6THCavyKBP+Es8zneTb8H50p5P3AMSMe58z/mpmW93ufkO/+s9HTgZTcvBcYAM3Cu4I8BN+M00S1yjxkBPOy+fxJnlamDPvn9itPsuMPNrznOo4WtOM2Sb7tpChzFaaZUoKKbZ3+fn+0Gn9haAonu+69xr+qBSritGDirvS0N9v+rvexV2Fchy4JbgR3u+/448+nPdM+ndOBsnClkFTjkWwa4n4l3930L/ARcCDwDrAduBza6+we6x08AfsBZ9vYN95zfDxxxv/NXoBzOLIQLc/wM0T6x1nfzXZPjmGrAUff9L7jr3VtZULyvgq4MTcnrD7QV8S5mVsW9mq2KU4F3AarjPBMD50Qfrqq/iEgyzgkJ8IKqPuybsYj09dmMVdV092r+IzctDRitqioiTwPtcSrrDjjzqx8GYoDj7nP6Ou73XamqP/h8Tz2cwqG2m/QVzvP764G/5fh592QdIyJZhUOUm/YF8IiI3IdzEfKemz4DeElEPga+UtVkN30XUA9jQkNeZcFxoJaILMM9X1S1tYhMxLmY9uDcwe8ALlHVxHy+4wPgRpzn6r4LJqUBNdxzPhrnUcAJEdkFpKtqNRH5Emea3Oo4z/FjOPX8i8UpC3BjyiT7/M7iu3LjIZzWiIuwsqBYWbN/6eMBeqlqZ/dVX1UP4dxl/4qzfONRnM40WQI1R/MJdS+bcU7+6TgnbBtA1ek8OAm4Qp2lMMcCE30rftdRnIIgy1yck7g28IdP+kpgNc7zy6Oq2h7nIiEG5wuP4HRWHIzTHPiJm/4Mzt1PeWC2iLR284txv9uYUJBXWTAQZ77/x/A5X07TeOAinLv+4z7pJ1T1Y/ecfxp4y01XsitrAe7Iig/oBcT6PEYEn7LAPZ8X4LRi+uqC+xgT52KhOtATKwuKlVX+pc8PwOisDZ/nXFWBreosPzkDqOnefc8GrnWPq4yzvvPpihKRvm5PfQ/Qzc3Tt8f/VODP4izfCVBZnFXRvFR1HxCRI+9NwKXuxUV9N+1Vd3s5cL44w31uc3/uPiLyFvAO8AowT1X3uvuaqepSVX0Wp5NS1gnfktBf5c6Ej7zKgvLAZ8DrwHPOLvHg9JzPqlirkd3ylidVTQXOxalACytnWSA4FwmfuuVINE4FXElEsloh/wVUE5H7RKSmiMTjPGo84e7fjXPXPh641/25a4rI33EuEKwsCBBr9g+uCm5TfZaXcDq+jHE70ETi3H2PxDnJ3xeRe3Cei3UG7sdpmvcA1+CsUJblfhG5y2f7GHBlAfEo8CLOM/lyOCfhEFVd79P0+A7OM8MFOIVLLM561b75NMUpuG72SWsAfCQiMTitCqjqu+6+u3Ca9V7GKdgigH/i9ESeLyIHcXrvZrlLRPrh9EtYAXznpvfDeY5pTFlT6LIApzn9TKAuTr+fDThDeV8lu+PvdBHJdN8fU9VTxspnPRbIcQ7nJ1KyhyZGA8dEZA3OY4bLcB4jjAGa4LQcHsQZdghOuXECeASnn4Hi3BiMcfc/g7NaXUecloTKOC2Hk4A3cfokWFkQALaqnykWItIFuEdVrytiPvVwhi+2VtXMf2JCTQAAIABJREFUAo6dDgx2Wx6MMaWAlQWlkzX7m2KhqguBX0UkZ/O/30TkepyORA/5cbLHAS/ZyW5M6WJlQelkd/7GGGNMmLE7f2OMMSbMWOVvjDHGhJkCK38R+Z84K0blOmxCHK+Is/LSEhHpGvgwjTHGGBMo/gz1ew94DWcmqNwMxJnfvQXOxAxvuP/mKzY2VuPj4/0K0hhTOPPnz9+tqnHBjsMfVhYYUzzyKwcKrPxVdbo7EUNeBgMfuJO1zBaRaiJSV1W35/MZ4uPjSUzMb9ZJY8zpEpFNxZDn/4CLgV3ubIw59wvOkq6DcKZ9vlFVF+Q8LicrC4wpHvmVA4F45l8f2OKznUz2DG7GmNDxHs4a63nxbQUcgdMKaIwphQJR+ec2LVSu4wdFZISIJIpIYkpKSgC+2hhTUlR1Os6KknnxtgKq6mycaVzrlkx0xpjCCETln4yzHnuWBpy8OpSXqr6lqgmqmhAXVyYeRxpj/Od3K6DdCBgTXIGo/CcD17u9/s8ADhT0vN9faen5TuRkjCld/G4FLMyNgE1EZkzg+TPU71NgFtBKRJJF5BYRGSkiI91DpuAsB5mEs/b77YEI7MDRE5z13C889e0Kdh06FogsjTHFy+9WwML4PHELl7z6B+/O2MCew8cL/oAxpkD+9PYfXsB+BUYFLCLX+zM3svPgcd7+fQMfzNrE8B6NGHlOM+pULcrS1caYYjQZGC0i43CG+wakFXD8gq0s3XqApVsP8NS3K+nbqhZDutbn3Da1KBd52tPFGxPWSuWSvqrK7PV7vNvH0zN5b+ZGPpmzmau6N+D2vs2pV618PjkYYwLNbQXsC8S6y88+BkQBqOpYnFbAQTitgEeAm4r6nftS01i8Zb93Oz1T+WnlTn5auZNqFaK4KqEhf+rZmEY1KxT1q4wJK0Fb2CchIUHzG9urqvy0chev/LyWpVsPnLQvOsLD8B4NGdWvObWqWEuAMTmJyHxVTQh2HP4oqCw4cOQE3y7dzvgFyczfdOpCbSLQt2Uc1/eK55yWcXg8fq9Lb0xIy68cKLWVfxZVZdqaFP7z01oW+dwBAJSL9HDdGY0Z2bcZsZXKFVeoxpQ5oVT5+9qwO5UJC5IZv2ArW/cfPWV/m7pVuO/ClvRrVQtnziFjwleZrvyzqCq/r93Nv39aw8LNJ18EVKsQxSvDunB2Sxs+aAyEbuWfJSNTmbZ6Fx/O3sS01acOFUxoXJ37LmzF/7N33+FRlNsDx78nBUIJoYVeQi8RCBCqXsTeQdGrYEGxICqKXa/ea7328sOCchUVxIIodlCwoQhSQu8QepPeW0hyfn/MZLOEkCxkk8luzud58pCZnZ2cLJk5M++873k7NawSrDCNCTlhkfyzZLUE/N9Py5i3PvtxgAjcf24zbu/eyK74TYkX7snf35rt+xn51xo+nraWg0cyjnrt7BbVeOmKNlQqV6qgYRoTcvI6D4TclL4iwhnNqvHNHafyznXtqV7Bae5XhZfGL2XARzPZe+iIx1EaY4pK/Srl+PfFLfnjwTO4oWsC0ZHZF/8/L95CjyF/smjjHg8jNKb4Cbnkn0VEODexBt/deRodEyr71o9fuJmeQyaz5G872I0pSeJjS/NEj0R+va87l7er41u/bsdBLn97Ct/PK3DJAWPCRsgm/yzVYmP4+JZO9Ds1wbdu5db99HhzMiOmrLbqYMaUMHUrl+WVK9vwv+vaU66UUwfg4JEMBn4ym+d/WEJGpp0TjAn55A8QHRnB45ck8lrvJGKinV8pLT2Tx79dyE0jUthmVcGMKXHOS6zB13ecSoOq5Xzrhv6+gke/mm83BabEC4vkn6VnUm2+v/M0Wtas4Fv365ItnD94ElNSt3kYmTHGC02qx/L1HadyRrPskUCjZqzjtV+WexiVMd4Lq+QP0LhaLF/d0ZWbT2vgW7dt32H6vj+dL2et9zAyY4wX4spEM+z6DvRqmz3B4OCfl/Pp9LUeRmWMt8Iu+QOUjork3xe3ZMSNHX3Ff9IzlXtHz2XIb6nW5GdMCRMZIbxwRWv+0aSqb92jX83n50WbPYzKGO+EZfLPcnrTeL6781Sa14j1rXtp/FL+880C6/RjTAkTHRnB29e255TazmPBTIWBn85i1tpjSwYbE+7COvkD1Iwrw+gBXejiV+nro6lrGfDRTA6mZeTxTmNMuClfOor3b+hA3crOxGCHjmRy84gU1m4/4HFkxhStsE/+ABViohl+YwcuaVPLt+6nRZu5ZthUdu5P8zAyY0xRqxYbw4c3dqKyW/Vvx/40+g2fzu4DVhzMlBwlIvmD0w/gtauSuLVbQ9+6WWt3cfnQKazbYVf9xgRCRM4XkaUikioiD+fyeiUR+UpE5onIdBE5xYs489Ogajne7ZtMqSjnFLhi635u+3gmRzIyPY7MmKJRYpI/QESE8K8LW/DYxS3JKv+/cut+er09hYUbd+f9ZmNKOBGJBIYAFwAtgT4i0jLHZo8Ac1S1NdAXeK1oowxc+/qVeOWfbXzLU1Zs599fLbAOwaZECCj5h8vVfpYbT2vAG33aUirS+fW37j3MVf+byrSV2z2OzJhirSOQqqorVTUNGAX0zLFNS+AXAFVdAiSISPWiDTNwl7SpxX3nNPUtf5ayjnf+WOlhRMYUjXyTf7hd7We5uHUtPrypI7ExUQDsO5zOTSNSmL/eWgCMOY7awDq/5fXuOn9zgV4AItIRqA/UybENItJfRFJEJGXr1mOn5C1KA89sTK922b/Gcz8s4fdl3sZkTGEL5M4/7K72s3RuWIUvBnQlPtapBbDvcDp935/G8s17PY7MmGIpt7myc7aRPw9UEpE5wJ3AbCD9mDepvqOqyaqaHB8fn/PlIiUiPNerFR0bZE8Qdt/ouVYW3IS1QJJ/0K72i6NmNWL56KZOxJWJBmDngSNc+9406wRozLHWA3X9lusAR02Vp6p7VLWfqibhtALGA6uKLsSTUzoqkreuaecrCrZt32Hu/3wumVYPxISpQJJ/0K72i1NTn79mNWIZcWNH3wxgm/cc5tr3prFlzyGPIzOmWJkBNBGRBiJSCugNfOu/gYhUdF8DuBn4Q1VDYn7tquVL8+qV2R0AJy7dyvApq70LyJhCFEjyD9rVfnFq6sspqW5F3r0+e+jPmu0HuPa9aeywOgDGAKCq6cBAYDywGBitqgtFZICIDHA3awEsFJElOP2EBnkT7cnp1jSeW/6RPS/I8z8ssZFAJiwFkvzD+mrfX9dGVRlydTsiI5zGjmWb93Hde9PYfdCKfxgDoKrjVLWpqjZS1WfcdUNVdaj7/V+q2kRVm6tqL1UNudq5D5zX3FcCOC0jk7s+nc2BtGMaMo0Jafkm/5Jwte/vnJbVefXKNr46AAs37uGGD6az77Ad/MaUBKWiIni9d1vKuo8BV2zdz9PfL/I4KmOCK6Bx/iXhat9fz6TavNCrtW959tpd3DR8hs0FYEwJ0TC+PE/0SPQtfzp9HeMX/u1hRMYEV4mq8HciruxQl6d6Zh/801btoP/IFA6n2wWAMSXBP9vX4aLWNX3LD4+Zx2brBGzChCX/PPTtksAjFzb3LU9avo2Hvphnw3+MKQFEhGcvbUWtuBjAGQZ832gb/mfCgyX/fPTv1oh7zs4u//n1nI28NGGphxEZY4pKXNloXr0qydcH6M/Ubbw/udiXLTAmX5b8A3DXWY25ulM93/LbE1fw0dQ1HkZkjCkqnRtW4bbTG/mWX/xxqQ3/MyHPkn8ARISneiRyVvNqvnWPfbOAnxdt9jAqY0xRufvsprSuEwc4w//uHjXHpv81Ic2Sf4CiIiN44+q2vhNApsLAT2cxd90ujyMzxhS2UlERDL4qiTLRzvC/5Vv28eFf1vpnQpcl/xNQtlQU713fgbqVywBw6Egmt300k51WBdCYsNcwvjz3nNPEtzz452Vst8l/TIiy5H+C4mNLM6JfRyq4UwFv3H2Ie0fPsR7AxpQAN3RtQIOq5QDYeyidV35a5nFExpwcS/4noWF8eV65Msm3/NvSrbz9+woPIzLGFIVSURH85+IWvuVPp6+1zn8mJFnyP0nntKzOrd0a+pZfmbCUqSu3exiRMaYonNGsGqc3dSYmU4WnvluEqrX8mdBiyb8A7j+vGR0SKgFOB8A7P53Nlr1WAcyYcCYi/OfiFkS5E4BNW7WDHxZY6V8TWiz5F0B0ZARv9GlH5XLOhIZb9x7mzk9mWwlgE7ZE5HwRWSoiqSLycC6vx4nIdyIyV0QWikg/L+IsbI2rxdK3S4Jv+Zmxizl0xI57Ezos+RdQjbgYXuudXQFs2qod3P+5lQA24UdEIoEhODN3tgT6iEjLHJvdASxS1TZAd+AVv+m+w8qgs5r4Lvw37DrIsEkrPY7ImMBZ8g+CfzSJ5/5zm/mWv5u7kWfHLfYwImMKRUcgVVVXqmoaMAromWMbBWJFRIDywA4gLOfDjisbzb3nZJf+fmviCrbYxD8mRFjyD5Lbuzfius71fcvD/lzFu3/YnYAJK7WBdX7L6911/t4EWgAbgfnAIFU9phSeiPQXkRQRSdm6dWthxVvoeneoS9Pq5QE4kJbByzbvhwkRlvyDRER4okci5yfW8K17ZtxivpmzwcOojAkqyWVdzudb5wFzgFpAEvCmiFQ45k2q76hqsqomx8fHBz/SIhIVGcG/L8p+8vH5zPUs2GBD/0zxZ8k/iCIjhMG9k3wjAADu/3wuvy8L3TsbY/ysB+r6LdfBucP31w/4Uh2pwCqgOWGsW9N4znTn/VCF/461oX+m+Aso+VsP38DFREcyrG8HX1PgkQzl1pEpzFi9w+PIjCmwGUATEWngduLrDXybY5u1wFkAIlIdaAaE/fOvRy7MHvo3deUOJtikX6aYyzf5Ww/fExdXNpoRN3akdsXsOQBu/GCGNQeakKaq6cBAYDywGBitqgtFZICIDHA3exroKiLzgV+Ah1R1mzcRF53G1cpzrV+fn+fGLSYt3Wb9M8VXIHf+1sP3JNSMK8NHN3eiavnSAOw9nE7f96eTumWfx5EZc/JUdZyqNlXVRqr6jLtuqKoOdb/fqKrnqmorVT1FVT/yNuKiM+isJsSViQZg9fYDfPjXak/jMSYvgST/oPXwLWkaVC3HyJuyJwHasT+Na4dNY92OAx5HZowJtkrlSnHXWdmz/r3+y3Kb8dMUW4Ek/6D18A2X4T0nokXNCgy/sSNlSznzgP+95xDXfzDdTgrGhKHrOtf3zfq351A6b/ya6nFExuQukOQftB6+4TK850S1q1eJYX2TKRXlfNwrt+7n5g9TrByoMWGmVFQED52ffeobOXU1q7ft9zAiY3IXSPK3Hr5B0LVxVQZflV0GeOaandw9ag4ZVgbYmLByXmJ133DfIxnKi+OXeByRMcfKN/lbD9/gubBVzaMKgvy48G+e/t7GBBsTTkSERy5s4VseN/9vUmyorylmAhrnbz18g+em0xpw02kNfMvDp6xm2KRVHkZkjAm2tvUqcUmbWr7l/45dbBf5plixCn8eePTCFlzUqqZv+dkfFjN9ld0ZGBNOHjyvGaUinVPsnHW7GDt/k8cRGZPNkr8HIiKEV65sQ3J957mgKtzz2Rz2HDricWTGmGCpW7ksN5ya4Ft+4ccl1snXFBuW/D0SEx3JG1e39dUA2LDrIE98u9DjqIwxwXRH98ZULOsU/lm34yBv/Lrc44iMcVjy91DNuDI826uVb/nLWRv4fl7OUZTGmFAVVzaaB85r5lv+3+8rWfr3Xg8jMsZhyd9jF7euRa922QUTH/1qAZt2H/QwImNMMPXpUM/3iC89U3nkq/lk2hBf4zFL/sXAkz0SqVPJmQRo98Ej3P/5XDs5GBMmIiKEZ3u1IjrSKfIxc81OPpm+1uOoTElnyb8YiI2J5tUrk3BnBGVy6nben2zD/0zxE8D03g+IyBz3a4GIZIhIZS9iLU6aVo/l1m6NfMsv/LiELXsOeRiRKeks+RcTHRtU5rbu2SeHF8cvZdlmezZoio9ApvdW1ZdUNUlVk4B/Ab+rqo1jBQae2ZiEKmUB2HsonSe/X+RxRKYks+RfjAw6qymJtZz5kNLSM7nnszk2J7gpTgKZ3ttfH+DTIoksBMRER/LMZdkdfMfO28TnKevyeIcxhceSfzFSKiqCwVcl+SYAWrhxD6//YkODTLERyPTeAIhIWeB8YEwRxBUyTm1c9agOvg+Nmcd3c22Ejyl6lvyLmSbVY3nQb2jQWxNTmblmp4cRGeMTyPTeWS4BJh+vyb8kTu+d5fFLEmlR02nhy1S4+7M5TFj4t8dRmZLGkn8xdOOpDejSsArgnBzuGz2HA2npHkdlTEDTe2fpTR5N/iV1em+AuDLRjLypI42rlQcgI1MZ+MlsJi7d4nFkpiSx5F8MRUQIL1/ZhtjSTvW/1dsP8Oy4xR5HZUxA03sjInHA6cA3RRxfyKhavjQf39yJ+m4HwLSMTG4dOZO/Vmz3ODJTUljyL6ZqVyzDkz0TfcsfTV3LDJsW1HgowOm9AS4DJqjqfi/iDBXVK8TwyS2dqV3RqfFxOD2TgZ/MsiGApkhY8i/GLmtbm7NbVPctPzxmHofTbWIQ4538pvd2l4eram/vogwdtSuW4ZNbOhEfWxqA7fvTuHe0Ffkyhc+SfzEmIjx9aSLl3eb/FVv3M+S3FR5HZYwJpvpVyjH4qiTE7U75Z+o2/vfHSm+DMmHPkn8xVzOuDA+en937/+2JqVb8x5gwc2rjqtx2enaRr1cmLGX2WhvlYwpPQMnfSnp669pO9WlXryIARzKUh8fMs2ZBY8LMPec0pa17nKdnKneNms2eQ0c8jsqEq3yTv5X09F5EhPDC5a19E4PMWruLj6at8TgqY0wwRUdG8Hrvtr5RPut2HOTfXy3wOCoTrgK587eSnsVAk+qx3Na9sW/5hR+WkLrFmv+NCSd1K5fl2V7ZJYC/nbuRnxZt9jAiE64CSf5W0rOYuOOMRjSKLwfA/rQMbh6Rwu4D1ixoTDi5pE0trmhfx7f8xLcLrciXCbpAkr+V9CwmSkdF8nqftpSJjgSc4j8DP51FeoZN/mNMOHn0whZULlcKgA27DvKazfFhgiyQ5G8lPYuRxFpxvPzPNr7lScu38ey4JR5GZIwJtkrlSvGvC5r7lt+btIqlf9tjPhM8gSR/K+lZzFzUuiZ3nZn9/P/9yasYbVODGhNWrmhfh44NnEFT6ZnKv7+eb6N8TNDkm/ytpGfxdPfZTTm3ZXb1v39/tcDK/xoTRkSE/156ClERzpPXGat38sWs9R5HZcJFQOP8raRn8RMRIfzfVUk0rxELOBOD3DwihdQt+zyOzBgTLE2rx3LzPxr6lp8bt5id+9M8jMiEC6vwF8LKlY7i3b7JVC3vdAzaffAI178/3SYGMSaM3HVWY9/kPzsPHGHo71bi2xScJf8QV7dyWd67voNvBMCGXQfpN3wG+w7b0CBjwkHZUlH85+IWvuVPp6+1oX+mwCz5h4E2dSvy1jXtiHSfDS7cuIfbPprJERsCaIIsv1Lf7jbd3VLfC0Xk96KOMRyd27IG9auUBWDPoXS+mr3B44hMqLPkHybOaF6NZy87xbc8afk2Hv1qPqrWO9gERyClvkWkIvAW0ENVE4F/FnmgYSgiQujbJcG3PHzyaju2TYFY8g8jV3Wox6CzmviWR6esZ+RUmwPABE0gpb6vBr5U1bUAqrqliGMMW/9MrkO5Us7jveVb9jE5dbvHEZlQZsk/zNx9dhN6tcuuvvzUd4uYttJOEiYoAin13RSoJCITRWSmiPQtsujCXIWY6KPK/g6fssrDaEyos+QfZkSEZy9rRes6cYBTHOSOT2axafdBjyMzYSCQUt9RQHvgIuA84D8i0vSYHVmp75PSt2uC7/tflmxhzXYrq2JOjiX/MBQTHcnQa9tTxa0Nvm1fGgNGzuTQkQyPIzMhLpBS3+uBH1V1v6puA/4A2uTYxkp9n6RG8eU5vanzeanCiCn2WM+cHEv+YapWxTIMuaadrzrY3PW7+c/XC6yTkCmIQEp9fwP8Q0Si3Fk+O+FUBjVB0u/UBN/3n6ess2G95qRY8g9jnRtW4d8XZY8P/nzmet6aaAVCzMkJpNS3qi4GfgTmAdOBYaq6wKuYw1G3JvE0rOpM7b33cDpfWslfcxIs+Ye567smHNVJ6KXxSxkz004W5uQEWOr7JVVtqaqnqOpg76INTxERwvV+z/7fnbSSw+n2SM+cGEv+YU5EeOayU+jaqIpv3UNj5vHHMutkZUyourx9HeLKRAOwbsdBPpi82tuATMix5F8ClI6KZOh17X2TAKVnKrd9NJMFG3Z7HJkx5mSULx3FPWdn1/R489dUtu497GFEJtRY8i8hKsREM7xfR2rFxQCwPy2DfsNnsH7nAY8jM8acjGs616dxtfIA7Duczsvjl3ockQkllvxLkBpxMQy/sSMVYqIA2Lr3MP0/nMnBNHteaEyoiY6M4D8XZ1dXHj1znbXmmYBZ8i9hmlaP5d2+yURHOkMAF23aw7++nGdDAI0JQac3jefM5tUAZ9z/U98tsmPZBMSSfwnUqWEVnuyRPQnQ13M2WochY0LUoxe18NXzmL56B+Pm/+1xRCYUBJT8bRrP8HN1p3r07pBdrO2ZcYv5a4XNAWBMqGkUX/6ooX/PjlvMnkNHvAvIhIR8k79N4xm+nuyZSFLdigBkZCoDP5nFxl02B4Axoeaus5pQ2S3nvWHXQW79cKaN/Td5CuTO36bxDFOlo5w5AKqWLw3A9v1p3P7xLNIzMj2OzBhzIuLKRPNEj0Tf8l8rt3Pf6LlkZtrzf5O7QJK/TeMZxmrExfCW3xwAc9btshLAxoSgHm1q8eD5zXzL38/bxLPjbFoFk7tAkr9N4xnmOjaozH3nZp80Xv9lOfPX25AhY0LNbac3om+X+r7lYX+uYtiklR5GZIqrQJK/TeNZAvTv1pD29SsBTgXAe0bPsSmAjQkxIsLjlyRywSk1fOv+O3Yxo2esy+NdpiQKJPnbNJ4lQGSE8OqVbShbKhKA1C37rGKYMSEoMkL4v6uS6JhQ2bfuwTHz+PCv1Z7FZIqffJO/TeNZctSvUo5H/aYAfm/yKhv+Z46S37Bfd8jvbnfY7xwRecyLOEu6mOhI3u2bTGKtCr51j32zkKG/W38e4whonL9N41lyXN2xHqc3dR7JqML9n89lr40ZNgQ27Nc1SVWT3K+nijRI4xNXNppPbulMu3oVfeue/2EJr/60zKoAGqvwZ44mIrx4RWvfdKEbdh3kJWv+N45Ahv2aYiSuTDQjb+pE54bZjwBe/2U5z45bbBcAJVyU1wGY4qd6hRie6pnIoFFzABg5dQ09k2rRvn7lfN5pwlxuw3475bJdFxGZi9Mx+H5VXRiMH969e/dg7KZEypQoyjTrycGKDQF4d9IqRo3+gsprfs11OJcp/iZOnFig99udv8lVjza1OKNZdvP/Q2PmW8UwE8iw31lAfVVtA7wBfJ3rjmzYb5GK0HSqLf2asjuW+dbtrdmeHQlnH/MfaEoGu/M3uRIR/ntZK8559XcOpGWQumUfb09cwd1nH1O+wZQc+Q77VdU9ft+PE5G3RKSqOwTYf7t3gHcAkpOTA8o/Bb3TMXAkI5O7R81h7PxNAOyt0ZaLLunBs5e1IiLC2gBKErvzN8dVu2IZHjwvu/jPkN9SWb55r4cRGY/lO+xXRGqIiLjfd8Q5x9iQkWIiOjKC13on0TOplm/dqBnreOCLeVYKuISx5G/ydF2XBN/kP0cylIe/nG8niRIqkGG/wBXAAveZ/+tAb7WeZcVKVGQEr16ZRK922VXax8xazwdTVnsXlClylvxNniIjhBcub+2r/T9zzU4rFlKC5TfsV1XfVNVEVW2jqp1VdYq3EZvcREYIL13Rhn+2r+Nb98KPS1jy95483mXCiSV/k69mNWK5vXsj3/JzPywhdYs1/xsTyiIjhGcua+UrBJSW7vQHsLLeJYMlfxOQO85sTPMasQAcTs/k7s/mkJZuU/8aE8pKRTl9AEpHOalgyd97rax3CWHJ3wSkdFQkg3snUSrS+ZNZsGEPg39els+7jDHFXeNqsUeV9R725yomp27L4x0mHFjyNwFrXqPCUfOFv/37Cqav2uFhRMaYYLiuc326N8ueafW+0XPZdSDNw4hMYbPkb07Ijac24NTGVQCn+M89n81hj9X+NyakZZX1rlyuFAB/7znEQ2PmWQngMGbJ35yQiAjh5X+2Oar2//2j51onIWNCXLXYGJ7v1cq3PH7hZj6ausbDiExhsuRvTljNuDI8e1n2SWLCos1cMXQK63Yc8DAqY0xBnZtYg+s61/ctPz12MQs37vYwIlNYLPmbk3JR65rc0DXBt7xgwx4uefNP/lhmddqNCWWPXtSCFjWzh//d+els9h9O9zgqE2yW/M1Je/ySljzVM9FXAGjXgSNc/8F03vx1uVUBNCZExURH8ubVbSlbKhKAlVv389g3QZmY0RQjlvzNSRMR+nZJ4LNbO1O9QmnA6QT48oRl3PJhCrsPWEdAY0JRo/jyPNXzFN/ymFnr+XLWeg8jMsEWUPIXkfNFZKmIpIrIw7m83l1EdovIHPfrseCHaoqr9vUr892dp9GxQWXful+WbOHiNyexYIM9LzQmFF3Rvg692mbX/3/kq/nMXLPTw4hMMOWb/EUkEhgCXAC0BPqISMtcNp2kqknu11NBjtMUc9ViY/j45k7079bQt27djoP0ensKo2es8zAyY8zJevrSU2hYtRwAh45kcvOIGazcus/jqEwwBHLn3xFIVdWVqpoGjAJ6Fm5YJhRFR0bwyIUtePuadpQvHQU4HYYeHDOPN39d7nF0xpgTVa50FO/d0ME3/n+n269ny95DHkdmCioqgG1qA/63buuBTrls18WdxnMjcL+qBqWHSPfu3YOxG1PE4mIqcbhpT46UdaqGvTx+KSNZHVgsAAAgAElEQVQHP02ZPWs9jiy0TZw40dOfLyLnA68BkcAwVX3+ONt1AKYCV6nqF0UYogmyBlXL8d71yfR5dyqHjmSybsdBbhw+g1H9u/gu8k3oCeTOX3JZl7Mr9yygvqq2Ad4Avs51RyL9RSRFRFK2brUhYeEs+tBOai74mNJZyV6EbY0vIiOqrLeBmZMW6CNAd7sXgPFFG6EpLG3rVWLI1e1wB/awYMMebh4xgxmrd9jInhAVyGXbeqCu33IdnLt7H1Xd4/f9OBF5S0Sqquq2HNu9A7wDkJycHNBfjNd3OqZgNu85xIWvTWL7/jQySpUnoc/jjOjXkYiI3K4pTTHnewQIICJZjwAX5djuTmAM0KFowzOF6awW1Xnmslb868v5AExduYN/Dv2LmnExXNy6Jj2TanNK7TiPozSBCuTOfwbQREQaiEgpoDfwrf8GIlJDRMT9vqO73+3BDtaEnuoVYnj1qiTf8qTl2/jfHys9jMgUQG6PAGv7byAitYHLgKFFGJcpIn061uOes5setW7T7kO8O2kVF7/xJ//7fYVHkZkTlW/yV9V0YCBOE95iYLSqLhSRASIywN3sCmCB+8z/daC32owQxnV603hu697It/zyhKXMXGOzAYagQB4BDgYeUtU8J3uwR4Cha9DZTfh8QBf6dKxHxbLRR732wo9LmLXWhgOGAvEqRycnJ2tKSoonP9sUvSMZmfR+Z6pvnHDNuBi+GXgq1WJjPI4sPInITFVNDvI+uwBPqOp57vK/AFT1Ob9tVpF9kVAVOAD0V9Vc+wGBnQtC2ZGMTP5M3cb//bSMeeudmh4NqpZj7F2nUbaUdQb0Wl7nAavwZ4pEdGQEr/dp65sNcNPuQ9zy4UybDTC05PsIUFUbqGqCqiYAXwC355X4TWiLjozgjGbVeMtveO+qbft5btwSjyMz+bHkb4pM7YpleL1PW1+P4bnrdnHf53Ott3CICPARoCmB6lQqy+OXZA/8GDl1Db/bJF/FmiV/U6RObxrP45ck+pbHztvE4F+sAFCoUNVxqtpUVRup6jPuuqGqekwHP1W9wcb4lxxXtK/DuS2r+5Yf/GIuuw6keRiRyYslf1Pkru+awPVdsucMf/2X5Xw9e4OHERljCkpEeLZXK6qWd6oBbt5zmEe/XoD1/S6eLPkbT/zn4pZ0axrvW37wi3m8+8dK0jMyPYzKGFMQVcuX5rlerX3LY+dt4o1fUz2MyByPJX/jiajICN68ui1NqpUHIC0jk2fGLabnkMnMW7/L4+iMMSfrnJbVubpTPd/yqz8t44uZNh1wcWPJ33imQkw0H/TrQPMasb51Czfu4dIhk3nyu4XsP5zuYXTGmJP1ZI9E/tGkqm/54THzmJy6LY93mKJmyd94qk6lsnx352k8eH4zSkc5f46ZCh9MXs2lQybb9KHGhKDoyAjeuqad78I+PVMZMHImS/7ek887TVGx5G88Fx0Zwe3dGzPhnm5H3S0s37KPnm9O5qdFmz2MzhhzMmLdlr0aFZxCXnsPp9Pvgxls2WPTARcHlvxNsVG/Sjk+vLEjL1zeytcKsPdwOrd8mMIrE5aSYfUAjAkpNePK8P4NHXwFgDbtPsTdn82xY7kYsORvihUR4aoO9RhzW1dqVyzjW//Gr6n0Gz6D7fsOexidMeZEtaxVgSHXtEPc4l5TVmxnqE0A5DlL/qZYOqV2HN/fedpRjwH+WLaVC16bxJQV1nHImFByetN4Bp7R2Lf86k/LSFltk3t5yZK/KbYqlSvF8H4dud1vRsAtew9zzbBpvPrTMms6NCaEDDqrCcn1KwGQkakMGjXHKgB6yJK/KdYiI4QHz2/OB/06ULmcUzlM1akK2OfdqWy2zkPGhISoyAhe85vca8Ougzw0Zp5VAPSIJX8TEs5oVo0fBv2Dzg0r+9ZNX7WDi9/4k+mrrPnQmFBQu2IZXrwiuwLg+IWbGTFltXcBlWCW/E3IqF4hho9v7sw9Zzf1zQy4de9hrn53Ku//ucruIIwJAecl1uCGrgm+5f+OXcy0ldu9C6iEsuRvQkpkhDDo7CaMvKmT7zFAeqby1PeLuGvUHKsKWMhE5HwRWSoiqSLycC6v9xSReSIyR0RSROQ0L+I0xdvDFzSnVe04wDl+b/94Fht2HfQ4qpIloOSf3wHvt10HEckQkSuCF6Ixxzq1cVW+u/M02tSJ8637bu5G+n0wg0NHMjyMLHyJSCQwBLgAaAn0EZGWOTb7BWijqknAjcCwoo3ShIKY6Ej+d1173wyA2/encevIFA6m2bFbVPJN/gEe8FnbvQCMD3aQxuSmdsUyjB7Q5ahJRKav3sH9n88l00YCFIaOQKqqrlTVNGAU0NN/A1Xdp9nPX8oB9h9hclWrYhneuqY9Ue4zvAUb9vDwl9YBsKgEcuef7wHvuhMYA2wJYnzG5Kl0VCTPXtaKhy9o7lv3/bxNvDB+iYdRha3awDq/5fXuuqOIyGUisgQYi3P3b0yuOjaozOM9En3L38zZyHM/LOHv3TaKp7AFkvzzPeBFpDZwGTA0eKEZE7hbuzXk+i71fcv/+30lI6eu8TCisCS5rDvmNk1Vv1LV5sClwNO57kikv9snIGXr1q1BDtOEkms71aNPx7q+5Xf+WEnn536hx5t/8sYvy21yr0ISSPIP5IAfDDykqnk+sLED3hQWEeGxSxI5u0V137rHv1nAL4ttUqAgWg/U9VuuA2w83saq+gfQSESq5vLaO6qarKrJ8fHxwY/UhAwR4ckep9AxofJR6+et380rPy3j3P/7g2/mbPAouvAVSPIP5IBPBkaJyGrgCuAtEbk0547sgDeFKTJCeL1Pkq8TYKbCnZ/OZvW2/R5HFjZmAE1EpIGIlAJ6A9/6byAijUWcKu4i0g4oBdg4LpOnUlERjLy5I0/3TOS0xlV9/QDAGQ3wwOfzmGHlgIMqkOSf7wGvqg1UNUFVE4AvgNtV9eugR2tMPsqWimLY9R2oW9mZFOhAWgYPjZlnHQCDQFXTgYE4nXoXA6NVdaGIDBCRAe5mlwMLRGQOTkfhq9R6cJkAlI6K5LouCXx0cydm/uccXuudRMP4cgCkZWTS/8MUu5APonyTf4AHvDHFRnxsad6+pj2R7t3DtFU7+HiaPf8PBlUdp6pNVbWRqj7jrhuqqkPd719Q1URVTVLVLqr6p7cRm1AUVyaankm1GdGvo2844M4DR7hx+Ax2HzjicXThIaBx/vkd8Dm2vUFVvwh2oMaciFNqxzHg9Ia+5ed+WMK6HQc8jMgYc6LqVi7LO32TKR3lpKqV2/Zz60cppKVnehxZ6LMKfyZs3XlmExpXKw84zf+PfDXfxhAbE2La1avEq1cm+ZanrtzBtcOmsWDDbg+jCn2W/E3YiomO5MUrWvvmAZi0fBujU9bl/SZjTLFzUeuaPHBeM9/y9NXOpF73fjbHygKfJEv+Jqy1q1eJm05r4Fv+7/eL2bTbThbGhJrbuzdi4BmNfX15AL6cvYEzXp7ICz8uYc8h6wtwIiz5m7B37znNSKhSFoC9h9N55Etr/jcm1IgI95/XjPF3d+Ocltn1PNLSM3l74gpe/3m5h9GFHkv+JuyVKRXJi1e08S1XLleatAzrMGRMKGpcrTzv9k1mVP/OtHZrepQvHcWA7o08jiy0RHkdgDFFoWODytx7TlNa1YnjjGbVvA7HGFNAnRtW4evbT+W7eRvZfziDquVLex1SSLHkb0qMu85q4nUIxpggiogQeiYdM7eUCYA1+xtjjDEljCV/Y4wxpoSx5G+MMcaUMJb8jTHGmBLGkr8xxhhTwohXxU5EZCsQyFRrVYFthRBCKO03lGINtf2GUqwnst/6qhpfCD8/6Dw+F3j9/2T7LR77DNf9Hvc84FnyD5SIpKhqcknebyjFGmr7DaVYC3O/ocD+/22/hbXPkrhfa/Y3xhhjShhL/sYYY0wJEwrJ/x3bb0jFGmr7DaVYC3O/ocD+/22/hbXPErffYv/M3xhjjDHBFQp3/sYYY4wJomKb/EXkfBFZKiKpIvJwEPe7WkTmi8gcEUkpwH7eF5EtIrLAb11lEflJRJa7/1YK0n6fEJENbsxzROTCE9xnXRH5TUQWi8hCERkUjHjz2G9B440RkekiMtfd75NBivd4+y1QvO4+IkVktoh8H4xY89hvgWMNNXYusHOBnQsK4VygqsXuC4gEVgANgVLAXKBlkPa9GqgahP10A9oBC/zWvQg87H7/MPBCkPb7BHB/AWKtCbRzv48FlgEtCxpvHvstaLwClHe/jwamAZ2DEO/x9lugeN393Qt8AnwfrL+F4+y3wLGG0pedC+xcYOeC4+63QLEW1zv/jkCqqq5U1TRgFNDT45iOoqp/ADtyrO4JjHC/HwFcGqT9FoiqblLVWe73e4HFQG0KGG8e+y1ovKqq+9zFaPdLgxDv8fZbICJSB7gIGOa3usB/C8fZb0lj54IgsnNBvvstkFA6FxTX5F8bWOe3vJ4g/CG5FJggIjNFpH+Q9pmluqpuAudgAKoFcd8DRWSe2xR4Us1GACKSALTFudINWrw59lvgeN0mrjnAFuAnVQ1KvMfZb0HjHQw8CGT6rQvGZ5vbfgsaa6ixc8Gx7Fxg54IsJx1rcU3+ksu6YA1LOFVV2wEXAHeISLcg7bcwvQ00ApKATcArJ7MTESkPjAHuVtU9wQoul/0WOF5VzVDVJKAO0FFETglGrMfZ70nHKyIXA1tUdWYw4gtgv0H5Wwghdi44mp0L7FyQpUCfbXFN/uuBun7LdYCNwdixqm50/90CfIXTrBgsm0WkJoD775Zg7FRVN7t/qJnAu5xEzCISjXNQfqyqXwYr3tz2G4x4s6jqLmAicH4w4s1tvwWM91Sgh4isxmmSPlNEPgpCrLnuN5ifbYiwc4EfOxfYuYAgnQuKa/KfATQRkQYiUgroDXxb0J2KSDkRic36HjgXWJD3u07It8D17vfXA98EY6dZfziuyzjBmEVEgPeAxar6qt9LBYr3ePsNQrzxIlLR/b4McDawJAjx5rrfgsSrqv9S1TqqmoDzd/qrql5b0FiPt9+CfrYhyM4FfuxcYOcCgnUu0AL0aizML+BCnB6jK4BHg7TPhji9hecCCwuyX+BTnKaWIzh3JzcBVYBfgOXuv5WDtN+RwHxgHs4fUs0T3OdpOE2l84A57teFBY03j/0WNN7WwGz3/QuAx9z1BY33ePstULx+++9Odk/cAv8tHGe/QYk1lL7sXGDnAjsX5LrfAsVqFf6MMcaYEqa4NvsbY4wxppBY8jfGGGNKGEv+xhhjTAljyd8YY4wpYSz5B5mI9BaRaSKyX5xJOaaJyO3iGC4iaSKyz+9rrt97S4vIcyKyVkQOijMRxAPuMJqsbRJFZIKI7BSRXeJUJzvuhA4iUltE0kWkUS6vfSUiL4tINRH5VEQ2ishuEZksIp1O4He+UkSmiMgBEZkY4HvOEWcikL0isl2ciSkeEpEY9/UnRERF5K4c77vbXf9EjvUNRCRTRN7K5WeJ+zkudz/XtSLyvIiUDvR3NKa4EWdios3uUMWsdTdnHYPucbI/x/nmQfe1iuJUhfvbPQaXichDfvtRd99Rfuui3HPacXuJi8gN7nsfyLF+vYh0d79/QkSOuPHscs8dXfy27S4i6wv+CZm8WPIPIhG5D3gNeAmoAVQHBuAUaSjlbvaiqpZX1fIAqtrGbxefA2fhDJGJBa4D+rv7zPId8JO772rAXYCvQpeITBSR5KxlVd0AbAcmizMr2m430c7HqRXdAKdC1AygPVAZp/70WHGqdQViB075yef94igjIr+LU0IzwU26s8WZ9Ws5zljXT4D6qloFuAqngIt/QZdlZI+PzdLXXZ/TACAd6J1LUn8d53Psi/O5XgCcCYwO8PczplCJyL78t8pVFDAoj9evyTrfuOecLuKUtF0LXAtsxRlC+Rhwjoi09HvvLpxjJcuFwM4AYtoBPCQiFcA3jj4eiBCn9O+jwF6css3LgG04576gEGcM/4/B2l+4suQfJCISBzwF3K6qX6jqXnXMVtVrVPVwPu8/C6fQyOWqukBV01V1Ks4BeoeINBaRqjjJ+l1VTXO/Jqvqn/mEdw+wH7gZmKROScu3cWYLu1xVJ6jqq+pMzpGhqu/gXKw0c2O7wW0NeMO9eFjixguAqv6sqqM5uvLajcCXqprhLq9Q1bY4M32VwzmJpKvqDncfS1X1TlVd7rePGUBZEUl040gEyrjrc7oCyJqW9RK/z7UJcDvOSfAv93NdCFwOnC8iZ+bz2RlTnL0E3C9uwZr8qOpl7vG/HZirqq1UNUlVR6nq2aq6yG/zkTgXzFn6Ah8G8GMWA3/hnHfAORccJLsu/U5gnKq2wCla0wSoLSLxgfwO+VHVrcAmETk1GPsLV5b8g6cLUJqTr+R1Ds5EGIdEZIyIzBCRGThX9lkFPr4FDgMrxXmUUN29wx4lzuQOn+Ekx5y+AqoCrfzWXQd86N9S4DbDvSAii3ASdAW3CfFFnOkuV+K0NiwDxoszD/atx/l9rjnOZ9EMZ/rP+3FaLRCRjm7T32z332butucCP5N9AhoPTHBjGOC2YMwWkXNxWg3edD8r/xPWWcB6VZ3uH4SqrgOm4nzuxhQ77h2s71yQlcyyjhec4+g6nIve+9077P5AsnsuyMsioLmI9HMvkI9pNcS50bjUXX8m0AOnhS0rvkgRecmNbV6Oc8F/gHtEpDLOueDgceJYj1NsJwPYKSIdcY7jav7nAhGZJCJJfj97soi0FpHTJXs++9niVm0EvnZ/rjkOS/7BUxXYpqrpWSvcP95dbpN31qQh97vrdgHlRGSE3/s34TTx/5+qdsC5Ox1GdpWvbkBj4A+chLwJpzpVlKq2Bp7Babo/iqoexGlWO9eNq4m73Sc5Ni0HTMc5EJcA/8JJjm/gXLUPxmmGnw7MAl4GbhGRBv47EacMa0NVXX2czwngV6C5+/2DOC0Czdzf7Vl3fSpQFujjNkfGuz+zJTDWvYP5B84jgx+A393f4QIRyZo5K+tzzc0mv3iMKW5yOxeAc2x2w/n7HY4z+dGdOBfUaTgXA8+4236Udb5xv87z2/cGYCCwSERScR75+ZuM8wgwDichfwjc5vf6TcBuN74OwC24x5OqzsG5UP8XTjXFDI52pXsOPIhTqz/DPXcuwXmMsQXnUUTWuWAYcAOAiDQFSqvqPPd3vsPvXJB1kZHiLpvjsOQfPNuBquLXQUZVu6pqRfe1rM/6ZVWt6K7fr6pZz7S34VzJnw286T6X+xaoANQCDuAk8B9xZnJaD9QHygMt3J83D6fUY25GAGe4cVwH/KjOhCb+0nDuxqfiTNDxu6pmlRYVdcpBnotzZ90U5wRTBafZzl9VnOeFiMhQnPKpLUTkEfezAKdPRJZ7gN9wyoNeAyS669cAp+M8k/wAWO3esW8FzhOnM2ANnCb/j3FOGBVxnmdeneNzzU1N93VjiqNjzgXunW0czrmgFk4yrgt8j3NhPhV85wKAa7PON+7XeHd9GpCqqu1xjuHROMddBb+f/wdOwq+Cc1E9Aljq9/rVwFMikoFzvFfB6YuU5TGcloK9ufxuo91zYHWcxwRZ58c44Al3/f+RfS74HLhYnMmDbsS56AHnAuVV91xQ0e/ma4v7+ZjjsOQfPH/hNMn3PMn3/wx0wmnm7+I+h0vCmbChDs6V9W+qegrOM+0YNxGuxGmey5OqTgJ24xxU15Lj2Z3bSS4S527gVpw7/ax+CorTWUfIvstYCjykqg1UdUKOH3cQiHF/7gCcA3ixqj6Lc2W/AeeksNjd/mmc5D8b544kxl2fgdO5cSHOjFVZHR8X4pwMy+A8KqkAvIVzkVIRZ773rKb/X4G6bnOi/+9bF+dRxi95fnDGeCcCv3OBqtZW1b1kHy8bcZrXY4DHcW4GqpzoD1Fn6t1n3Z+XM2FOwukkWw74k6OnU94OXKCqkapaRlUb4BybWftdgtNB2f+CIOfP3ga8g3N+qen+brOBzbjnOXe7Azjngp7Albitlqr6PE5fpjLAVBHJak2M4fiPGgyW/INGnWkhnwTeEpErRKS8iES4z6nK5fN2VPVnnESkwNPu87TOOFe8b+P8X+0SkSeBewHcDoBZnecQZz7q1nn8mAk4rQQVcQ7KLJHAF+73fdWZIjInwWkV+BnnAG0BjBORpiISK84QvSg3zoNApLsu5++pOKMC+gNzRaQSztV+Js5J4rQcbxkG9MJp0v/AXVceZ37rF3B6+P+M05/hOne7U4EkEWmlqsuAocDHItLZ/VwTcVo2fnY/d2OKowk4zfIA+D3zjsO5gAY4D0BVU3Gauvu42+Y35/11QJyIlHKP00E4x9Ia/43c4/UT4AM9diKY8cBt7t14VnN8qRzbPIpzvObaIVGc3v+DcB4jPuj+blmtcTc7m0iMG+MwnJE7M7I6CotII1Wd754LUsh+lNiU8J/xskCi8t/EBEpVXxSRDTh/xB/i9LBfCTwETMF5ZvWgiNztvqWc22SW9Uz6dZwm7ttxEnw6zkFxJ06rwIc4B0cpnLvdBThNc6VFJGs2raM6tuUw3o1hRI7RB22Ai93vdzk3+JTCmSM6SyZO8/51blzbcRLtVpwmQ//x9QdxZrA6DScxAzQSkdk4V+R7cfoPJOMM98nAGVK0CadlwNexR1Vnisge4Hm37wI4B3hXEfknTj+Ah1T1bxG5FvjKfc+POM2g9+OcQB8APsJpFdiGM2PaY3l8VsYUpbJy9Nj2V3Eutoe4x3YUzrE+AKe/zwicR17+N3DX4bTIJeOcgwA+dc8xWYapatb5pw3OsZCO87hwPrnfLW8FchuKOAxIAGa5rYJZ5wIfVV0lIkvJTsoAlYALRWQxzrngDZwOiL8C/wT+h3OcPupunxVTE5xhzR/47etuETkD5xyyCKfvDziPOMfmErNx2ax+Jl8icgNws6rmvCvP6z1tgXtV9boC/uxawESg+XFaJPy3/QPoqaqBjEU2xhQBOxcUT9bsbwqFqs4GfhORyJPdh4j0xXmm/2gAB3s88Kod7MYUL3YuKJ7szj9MuD3pH8nlpUmqekEu609k3zdwgnf+xhhjii9L/sYYY0wJY83+xpiAiDMRzBYRybUXtTheF2cOiXki0q6oYzTGBMaSvzEmUMNxqrEdzwU4PbKb4AzlfLsIYjLGnATPhvpVrVpVExISvPrxxoS1mTNnblPVoEyUkkVV/3DHZR9PT+BDdzz4VHGmja2pqscrrwzYucCYwpLXeSDf5C8i7+OMAd/iVpfL+brgVF67EKcE7Q2qOiu//SYkJJCSkpLfZsaYkyAia/LfKuhq49RtyLLeXXdM8heR/jitA9SrV8/OBcYUgrzOA4E0+w/HmvqMMfmTXNbl2qNYVd9R1WRVTY6PD2oDhTEmAPkmf1X9A9iRxya+pj515p+v6NZoNsaULOtxJpnJUgen/rwxppgJRoe/4zX1HUNE+otIioikbN26NQg/2hhTjHwL9HV7/XfGme41z+f9xhhvBKPD3wk19eHM4ERycrIVGDAmhIjIp0B3nKmr1+PMJBcNoKpDgXE4fX9Scfr/9CusWDIylciI3E49xphABCP5F0pT38KNu3n6+0V0alCFTg0r065eJWKiT7o6pDGmgFS1Tz6vK3BHYceRlp7Jha9P4qzm1ejfrSFVypcu7B9pTNgJRvL/FhgoIqNwZp4LSlPfXyu2M3XlDqau3AG/QKnICNrUjaNzwypc0qYWTavHFjhwY0zoGZ2yjtQt+0jdso+RU9fQt0sC/bs1pHK5nLPJGmOOJ5Chfp409U1deXQfw7SMTGas3smM1Tt549dU2tevRJ+O9bioVU3KlLIWAWNKit+WbPF9fyAtg6G/r2DkX6u5vqtzEVCxrF0EGJMfz2r7Jycna15je7fsOcTUVTuYtnI701btIHVLbtNJQ2xMFFcl16X/6Q2pFhtTWOEaE1JEZKaqJnsdRyDyOxfklJmpTFj0N4N/Xs6Sv/ce9VrFstHcd05T+nSsR1SkFTA1JVte54Fim/xz2rr3MNNX7WDs/I1MWLiZ9Myj446JjuDaTvW59fRGxMfaM0BTsoVz8s+Sman8uPBvXvt5OUs3H30R0Kx6LI9f0pKujasGK0xjQk5YJH9/W/ceZsys9Xw6fS1rth846rWsi4AbT2tArYplghGqMSGnJCT/LJmZytj5m3hx/BLW7Th41GvnJ9bg3xe3oE6lsgUN05iQE3bJP0tmpvLLki0M/nkZCzfuOeq1yAjh/MQa9Ds1gfb1K+FUITamZChJyT/LoSMZvPfnKob8lsqBtAzf+pjoCO7o3phbujW0EUOmRAnb5J9FVflp0WYG/7ycRZv2HPN6q9pxDDqrCWe1qGYXAaZEKInJP8vmPYd44cclfDlrw1HrE6qU5fEeiZzRrFrQfpYxxVnYJ/8sqsrPi7fw/p+r+Gvl9mNe79Y0nscubkHjajZM0IS3kpz8s8xcs4P/fL3wmBuCq5Lr8kSPRBslZMJeiUn+/hZv2sMHk1fx9ZyNpKVn+tZHRQh9uyQw6OwmxJWJLrSfb4yXLPk7MjKVj6et4eXxS9lzKN23vmn18gy5uh1NrF6ICWN5nQfCdixMi5oVePGKNkx5+Eyu6VSPrEqg6ZnK+5NXcdYrExk7bxNeXfwYYwpfpHux/+v93bmkTS3f+mWb99Hjzcl8nrIuj3cbE77CNvlnqVq+NM9c1orv7jyNjg0q+9Zv25fGHZ/MYsBHM9my55CHERpjClvV8qV5vXcSL1zeitJRzmnv4JEMHvhiHg98PpfD6Rn57MGY8BL2yT9LYq04PuvfmSFXt6NGhexiQOMXbuasV39n9Ix11gpgTD5E5HwRWSoiqSLycC6vVxKRr0RknohMF5FTvIgzNyLCVR3q8e3A02gUX863/vOZ67lu2HR27E/zMDpjilaJSf7gHPwXta7JhHu70adjPb8K5a0AACAASURBVN/6vYfSeXDMPAZ+Mpt9h9Pz2IMxJZeIRAJDgAuAlkAfEWmZY7NHgDmq2hroC7xWtFHmr1mNWL678zR6tc2eeXz66h30HPIny3MUCzImXJWo5J+lQkw0z/VqxSe3dKJ+leziH2Pnb+LSIZOPW0rYmBKuI5CqqitVNQ0YBfTMsU1L4BcAVV0CJIhI9aINM39lS0XxypVt+NcFzcka/btux0F6vTWFiUu35P1mY8JAQMk/lJv68tK1UVV+HNSNaztntwKkbtnHpUMm8+OCAk9MaEy4qQ3495Bb767zNxfoBSAiHYH6ONN8Fzsiwq2nN+J/17anrDvsb+/hdG4cPoO3J66wx4AmrOWb/MOlqe94ypSK5L+XtuKVf7bxdQTadzidAR/N4pUJS+0EYEy23Cpk5TxAngcqicgc4E5gNnDMszQR6S8iKSKSsnXr1uBHegLOTazB5wO6UCvO6QuUqfDCj0u47aNZ7D10xNPYjCksgdz5h01TX14ub1+HL2/vSt3K2fMBvPFrKo98tYCMTLsAMAbnTr+u33IdYKP/Bqq6R1X7qWoSzo1APLAq545U9R1VTVbV5Pj4+MKMOSCJteL4euCpdEio5Fv348K/3ceA1g/AhJ9Akn9YNfXlJbFWHN8P/AenN80+GX06fS13fTrbhgIZAzOAJiLSQERKAb2Bb/03EJGK7msANwN/qOqxNbeLoWqxMXxyS2du6JrgW7di6356vjmZXxZv9i4wYwpBIMk/LJv6jieubDTDrk/mMr+ewGPnb+LmESnst5EApgRT1XRgIDAeWAyMVtWFIjJARAa4m7UAForIEpxHhYO8ifbkREdG8ESPRAZflURMtHN63J+WQf+RM/lsxlqPozMmePIt7ysiXYAnVPU8d/lfAKr63HG2F5xmvtZ5XfEXdnnfgsrMVJ76fhHDp6z2rUuqW5H3b+hA5XKljv9GY4oBK+9bcIs37aH/yJSjpgm+/9ym3HFGY5sgzISEgpb3DeumvuOJiBAev6Ql95zd1LduzrpdXP72FNZs3+9hZMaYotCiZgXG3NaVxFoVfOtenrCMx79daP2ATMjLN/mXhKa+4xERBp3dhCd7JPrGAq/atp9eb01hzrpd3gZnjCl01WJjGNW/M6c2ruJb9+Ffa7j7szlk2gWACWEBjfNX1XGq2lRVG6nqM+66oao61P3+L1VtoqrNVbWXqu4szKCL2vVdE3jr6naUcocCbt+fRu93/uLnRdYJyJhwFxsTzfs3dODi1jV9676bu5HnfljsYVTGFEyJrPB3Mi5oVZNPbu5ExbLONMCHjmTSf2QKQ35LtSZAY8Jc6ahIXu/dlms6ZRcEe3fSKkb+tdqzmIwpCEv+JyA5oTJjbsuuBZCp8NL4pfR+5y/W7TjgcXTGmMIUESE81fMUzmmZXcLk8W8X8usSawE0oceS/wlqFF+eL287lfb1s4uBzFi9kwtem8SXs9ZbRUBjwlhkhPBa7yTa1IkDnBuAgZ/MZsGG3R5HZsyJseR/EuJjS/NZ/87ce05TIiOcnoD7Dqdz7+i53Pf5XNIzMj2O0BhTWMqWimLY9R2oU8lpATyQlsGNw2fw9+5DHkdmTOAs+Z+kqMgI7jqrCV8M6EKC38yAX87awINfzLOewMaEsfjY0nxwQwdiY6IA2LL3MHd9Otsu/E3IsORfQG3rVWLsXf+gV7vsioBfzt7Ao1/Pt0cAxoSxJtVjGXpte9zGP6av3sErPy3zNihjAmTJPwjKlY7i5Sva0LtD9pwnn05fx5PfLbILAGPC2KmNq3LvOdmFwN6euILflmzxMCJjAmPJP0giIoRnLmtFL785AYZPWc3zPyyxCwBjwtjt3RvTzW8ysHtGz2HjroN5vMMY71nyD6LICOHFK1pzUavsYiD/+2Mlz9kFgAkTInK+iCwVkVQReTiX1+NE5DsRmSsiC0WknxdxFqWICOH/rmxDjQoxAOw6cISBn8ziiD3/N8WYJf8gi4qMYHDvpKPGAr/zx0oe/3ahdQI0IU1EIoEhOCW8WwJ9RKRljs3uABapahugO/CK37wfYatK+dK8cXVb3+ifWWt38ew4qwBoii9L/oUgOjKCN69uy7l+FwAf/rWGf30536oBmlDWEUhV1ZWqmgaMAnrm2EaBWHd2z/LADnKZ3jscdUiozAPnNfMtfzB5NR9PW+NhRMYcnyX/QlI6KpIh17Tjkja1fOs+S1nHvaPn2HAgE6pqA+v8lte76/y9iTPR10ZgPjBIVUvMH3z/fzTk/MQavuXHvlnIn8u3eRiRMbkLKPnbc76TEx0ZweCrkriifR3fum/mbGTQKLsAMCEpt0nsczZlnQfMAWoBScCbIlIh55tEpL+IpIhIytatW4MfqUciIoRXr2pDq9pOBcCMTOW2j2eSumWfx5EZc7R8k7895yuYyAjhxctbc23n7AlBxs7fxKDP7ALAhJz1QF2/5To4d/j++gFfqiMVWAU0z7kjVX1HVZNVNTk+Pj7nyyHNqQCY7OsAuPdQOjeNmMHO/WkeR2ZMtkDu/O05XwFFRAhP9zyFG7om+NaNnbeJe0ZbKWATUmYATUSkgXtx3xv4Nsc2a4GzAESkOtAMWFmkURYD1SvEMOz6ZMpERwKwZvsBbh05k8PpGR5HZowjkOQftOd84drUFwgR4fFLWh51AfDd3I3caxcAJkSoajowEBgPLAZGq+pCERkgIgPczZ4GuorIfOAX4CFVLZEPvU+pHcfg3kmIXwXAe0fPtVE/plgIJPkH7TlfODf1BSLrAqBvl/q+dd/O3ciDX8yzOgAmJKjqOFVtqqqNVPUZd91QVR3qfr9RVc9V1VaqeoqqfuRtxN46L7EGD5+f/dRj7LxNPPeDDQE03gsk+QftOZ9xLgCe7JF4VB+AL2dv4K2JKzyMyhhTWPp3a8j1fhf8705axft/rvIwImMCS/72nC/IRISnepxy1FwAL09YajXBjQlDIsJjlyRyXmJ23Y+nxy5i3PxNHkZlSrp8k7895yscERHC05eeQscGlQFQhbtGzWbVtv0eR2aMCbbICOG13m1pX78S4Bzvd382h8mp/9/efYdHWWUPHP+edEIJEDqE3qSXEKqKHdhVxAoK6iKyqKi7rnV/ruuqq66r2AUpKlYsYFl7RRSkBAi99wDSWxJISHJ+f8wwGWLKQCZ5p5zP8+Rh3jtv7hwguect973HhknjDJ+e87f7fOUjOjKCl6/tRoOEgkeCbnojlYxse1DCmFATFx3J5OuSaV6rMgA5ufmMfH2BLQJkHGEr/DmsVpVYXhmRTGyU679i/e4M7nwvzWYEGxOCalSOYerIFOq7D/izc/O5ceoCZq0Nr6efjPMs+QeAjo0SePyyjp7tb1bu4uWZ6x2MyBhTXpJqxjNtdC/PFb/s3HxGvZHKT3YAYCqQJf8AcVm3Rozs28yzPe7btXY50JgQ1SSxMtNG96Zh9UqA6xbATW+k2hUAU2Es+QeQvw9q65kAmO+eALjj4FGHozLGlIfGia4rAN4HALe8vYg1vx1xODITDiz5B5CoyAheHNaV2lVjAdifmcMtby8iJ9dWADQmFBW+BZCRncvI1xewNyPb4chMqLPkH2DqVIvjxWFdiYxwLayYtu0g//58pcNRGWPKS1LNeKbc0IPKMa46ANsPHmX0G6kcO251AEz5seQfgHo2TzxpSdCpv27hk7TtDkZkjClPZ9SvxgvXdMV9zM+irQe5d7ot+23KjyX/ADXqzGYM7FDPs33/jGVs3GM1wY2zRGSAiKwRkfUicl8R798tImnur+UikiciNZ2INdic27Yufx90hmf7k7QdvPCDPfVjyocl/wAlIjx5RSeauRcEycrJ49Z3FtulQOMYEYkEXgIGAu2AYSLSznsfVf2vqnZR1S7A/cBPqrq/4qMNTjf2a8awlIK6H+O+Xcu8jfscjMiEKkv+AaxqXDQvXtOVmEjXf9OqnYd57AurCGYckwKsV9WNqpoDTAMGl7D/MODdCoksRIgIDw9uT+/miZ62e6Yv5WiOHfQb/7LkH+DaN0jggT8WXAp849ctfGkFQYwzGgLbvLbT3W2/IyLxwABgegXEFVKiIyMYd3VnqsZGAbBlXxZPf7PG4ahMqPEp+dt9PmeN6NXkpIpg90xfyrb9WQ5GZMKUFNFW3Iy0i4HZxV3yF5HRIpIqIql79tjCNoXVT6h00kH/lNmbWLjlgIMRmVBTavK3+3zOExGevLyzZzGQI8dyGfvOIo4cO+5wZCbMpANJXtuNgB3F7DuUEi75q+pEVU1W1eTatWv7McTQcVVyEme2qgW4qgDe8+ESm/Nj/MaXM3+7zxcAEuKjeeGarkS5nwVakn6IoRPnsueILQZiKswCoJWINBORGFwJ/tPCO4lIAnA28EkFxxdSRIQnLu/kef5/w55Mnv1uncNRmVDhS/K3+3wBolvjGjx4ccFFlxU7DnPFhDls2ZfpYFQmXKhqLjAW+BpYBbyvqitEZIyIjPHadQjwjaraD2YZNaxeifu9Hv+bOGsDadsOOhiRCRW+JH+7zxdAruvdlCcv7+RZDGTLviwuH/8ry7cfcjYwExZU9QtVba2qLVT13+62Cao6wWuf11V1qHNRhpZrUhp7Zv/nK9z5XhpZObkOR2WCnS/J3+7zBZireiTxyohkYqNc/317M7IZOnEuP6ze5XBkxhh/i4hwrflRxT37f+PeTB793B75NWXjS/K3+3wB6IJ2dXlrVE+qxbkGBFdBkFSe+XYt+fm2JKgxoSSpZjwPXdLes/3OvK18u9IO9s3pKzX5232+wNWjaU0+GNPHUxEM4Lnv1zFy6gIOZuU4GJkxxt8u79aQQR0Llvy+d/pSdh855mBEJpj59Jy/3ecLXG3qVeV/t/Wjb8uCFcFmrtnDxS/+wsodhx2MzBjjTyLCY0M6Uq+a62B/f2YO935oxX/M6bEV/kJAYpVY3hjZk5v7t/C0bdt/lGGT5rJqpx0AGBMqqsfH8PRVnT3bP67Zw5tztzgYkQlWlvxDRGSEcO+AtkwY3t0zMejQ0eOMmDKP9butGqAxoaJvy1qM6tfMs/3o56tY/Zsd5JtTY8k/xAzoUI93b+rlWRd8b0YO106ey9Z9thywMaHi7gFtOKN+NQBycvO5/d3FVvzHnBJL/iGoY6MEXh/Zg3j3ymC7DmdzzeS57Dh41OHIjDH+EBsVyQvDuhAX7RrC1+7K4NHPVzoclQkmlvxDVPcmNZl8XTIx7rUA0g8cZfjkeRzKsnoAxoSClnWq8s+LCx7/e3veVr5a/puDEZlgYsk/hPVpWYtXhncnOtK1HODGvZnc9eESmx1sTIgY2iPpd4//2RU+4wtL/iHunLZ1GHdVF8/2tyt3MennjQ5GZIzxFxHh8SGdPBU/Dx09zl+mpZFnC32ZUljyDwMXd27AyL4Fs4P/89Ua5m+yisvm1InIABFZIyLrReS+YvbpLyJpIrJCRH6q6BjDTUJ8NM8N7eKp9zF/837emb/V2aBMwLPkHybuG9iWro2rA5CXr9z27iL2Zlg5YOM7EYkEXgIGAu2AYSLSrtA+1YGXgUtUtT1wZYUHGoaSm9Zk7DktPdv//Wq1/X6bElnyDxMxURG8dE03asRHA64nAO6YttguD5pTkQKsV9WNqpoDTAMGF9rnGmCGqm4FUNXdFRxj2LrlnJY0SYwH4PCxXB7/YrXDEZlAZsk/jDSoXolnru6CuC8Pzl6/j6e+WeNsUCaYNAS2eW2nu9u8tQZqiMhMEVkoItdVWHRhLi46kn95Ff+ZviidBZvt9p4pmiX/MNO/TZ2TLg+On7mBGYvSHYzIBBEpoq3wpaMooDvwB+Ai4B8i0vp3HYmMFpFUEUnds2eP/yMNU/3b1GFA+4LZ/w98tJzjefkORmQClU/J3yb5hJa/nN+ac9rU9mzfN30ZC7fYGYIpVTqQ5LXdCNhRxD5fqWqmqu4FZgGdC+2Dqk5U1WRVTa5du3bht00ZPHhxOypFuxb4WrPrCFPnbHY2IBOQSk3+Nskn9ERGCM8P60rrulUAyMnLZ/QbC0k/YEsAmxItAFqJSDMRiQGGAp8W2ucT4EwRiRKReKAnrlLgpoI0qF6J289r5dl+5tu1/HbISv+ak/ly5m+TfEJQ1bhoplzfg5qVYwDYl5nDqKmpZGTnOhyZCVSqmguMBb7GldDfV9UVIjJGRMa491kFfAUsBeYDk1V1uVMxh6sb+zWjZR3XwX1mTh4PfLzcFvcyJ/El+dsknxCVVDOeV0YUrAC4+rcj3PHuYnLtHqEphqp+oaqtVbWFqv7b3TZBVSd47fNfVW2nqh1U9Vnnog1fMVERPDK4g2f7u1W7+GjxdgcjMoHGl+Rvk3xCWI+mNXlsSEfP9verd/PPT1fYWYIxQa53i0SG92rs2f7npyvs8r/x8CX52ySfEHdlchI392/h2X573lbG/7TBwYiMMf5w/8AzSKrpWvr3yLFc7pux1A7sDeBb8rdJPmHg7gvbMLhLA8/2k1+t4aPF9gigMcGscmwU/72i4Dxs5po9vJ+6rYTvMOGi1ORvk3zCQ0SE8OQVnejdPNHTds+HS5m9fq+DURljyqpX80T+1LepZ/uRz1bZkz3Gt+f8bZJPeIiNimTCiO6eRwCP5yl/fnMh8zbuczgyY0xZ3HNRW5rVqgxARnYud76/hJxcm9gbzmyFP3OShErRvP6nFOpWiwVcA8WIV+fz1fKdDkdmjDldlWIieerKzgWV/zbt597pdv8/nFnyN7/ToHol3hjZk9pVXQcAObn53Pz2It6cu8XhyIwxp6t7kxr87cI2nu2PFm/n6W/WOhiRcZIlf1OkNvWqMuPmPp5Lharwj4+X8/Q3a+xswZggdUv/FgxLKXh468Uf1/Pu/K0ORmScYsnfFCupZjwfjulN50YJnrYXfljPAx8vJ99KARsTdESERwZ3OKm2xwMfL+fHNbYoa7ix5G9KlFgllndu6kV/r8Hi7XlbufvDpbYSoDFBKCoyghev6UaHhtUAyMtXbn17EWnbDjocmalIlvxNqSrHRjHpuuST1gGYviidO95Ls3KhxgShyrFRvHpDDxpWdy0AlJWTxw2vzWfdriMOR2YqiiV/45PoyAjGXdWFoT0K7hd+vnQnN7+1kGPH8xyMzBhzOupUjWPqyBRqxEcDcDDrOMOnzGPbflsDIBxY8jc+i4wQHhvSkRv6NPW0fbdqNzdOXWDVAMOEiAwQkTUisl5E7ivi/f4ickhE0txfDzoRp/FNyzpVmDoyhcoxkQDsOpzNiCnz2H3EagCEOkv+5pRERAj/vLjdSbUAZq/fx7CJc9mbke1gZKa8iUgk8BIwEGgHDBORdkXs+rOqdnF/PVyhQZpT1qlRdSZdn0xMlCsdbN6XxXVT5nMo67jDkZnyFOV0ACb4iAj3XNSGyjGRPOV+TnjZ9kNcMX4Ob97Yk6Sa8Q5HaMpJCrBeVTcCiMg0YDCwsiI+vH///hXxMWGreo2W7G49GCSC1b8dIeWuKdRd9QERarf1AtHMmTPL9P125m9Oi4gw9txWPH5ZR8+qYZv3ZXHZ+Dms3HHY2eBMeWkIeFeFSXe3FdZbRJaIyJci0r6ojqy8d+CJP7CeWhu+8mxnV0tib8tBv6vfbkKDT2f+IjIAeA6IxFW054lC7/fHVdlvk7tphl3uCw/DUhpTIz6G26ctJic3nz1Hsrn6lV+ZdH0yvbyKBJmQIEW0Fc4Ni4AmqpohIoOAj4FWv/sm1YnARIDk5GSf8ktZz3SMb175aQOPf7kagKzEtlx46UD+7w9F3d0xwazUM3+7z2dKM6BDPd4cmULVONex5JHsXK57dT7frtzlcGTGz9KBJK/tRsAO7x1U9bCqZrhffwFEi0itigvRlNXos5pzfe8mnu1JP2/i1V82lfAdJhj5ctnfc59PVXOAE/f5jPHo2TyR9//cmzpe9QDGvLWQD6x2eChZALQSkWYiEgMMBT713kFE6omIuF+n4BpjrCxkEBERHry4PRe2q+tpe+TzlXy5zIp7hRJfLvsXdZ+vZxH79RaRJbjOBO5S1RV+iM8m+QSZ6NgEos64kty4GuTlK3d/uJTHnn6ehJ0LnA4tJDh56VtVc0VkLPA1rluAr6rqChEZ435/AnAFcLOI5AJHgaFqxSCCTmSE8PywrlwzaS6Lth5EFe6Ylka1StH0bWkXckKBL2f+p3KfrzPwAq77fL/vyCb5hLzo7EPUW/Eu0ZkFa4UfaNKfPS0GkRdVycHIjD+o6heq2lpVW6jqv91tE9yJH1V9UVXbq2pnVe2lqnOcjdicrrjoSCZf38NT3CsnL5+b3khl0dYDDkdm/EFKOygXkd7AQ6p6kXv7fgBVfbyE79kMJKvq3uL2SU5O1tTU1NOJ2QSBQ0ePc9PUVOZv3u9pqxEfzQN/aMdl3RrivjJsyomILFTVZKfj8IWNBYEt/UAWV074lZ2HXAv/VIuL4r0/9+aM+tUcjsyUpqRxwJczf7vPZ05ZQqVo3rgxhUu96gEcyDrO3z5YwvAp81hra4gbExQa1YjnzRt7UrNyDACHj+UyYsp8Nu3NdDgyUxalJn9VzQVO3OdbBbx/4j7fiXt9uO7zLXff838eu89ncF02fHZoV169IdlTQARcKwJe+MwsrpwwhxmL0q02gDEBrmWdKrwxMoWqsa5pYnszshk+eR67D9sywMGq1Mv+5cUu9YWXzOxcxn27ltdmbyK/0I9ctbgoru6RxF8vaE18jC066Q922d+UhwWb9zNiyjyOHXdV8+ycVJ33RvciLjrS4chMUcp62d+YMqscG8U//tiOT27tx0Xt6xIVUXDP//CxXCb9vInLx/9qFcWMCWA9mtZk/PDunlU9l2w7yN9nLMMu9AYfS/6mQnVslMArI5KZc/+53DOgDU0SC+oArNp5mEte/IU564udJ2qMcdg5berwgNeKfzMWb2firI0ORmROhyV/44g6VeO4pX9Lfvxbfx4b0pHoSNepxIGs44x4dT6v/rLJziaMCVB/6tuUq5MLFnt84qvV/LDaVvQMJpb8jaMiIoRrejZm2uhe1HavDpiXrzz82Uqe/HqNw9EZY4oiIjxyaQd6NK0BgCrc/m6aPcUTRCz5m4DQvUlN/je2H52Tqnvaxs/cwI+rd5fwXcYYp8RERTB+eHfPkzwZ2blcO3ke63dnOByZ8YUlfxMw6iXE8d7oXpzduran7W8fLGGXPU5kTECqVSWWSdclEx/jmu2/50g2QyfOZf1uuwIQ6Cz5m4ASFx3JuKs6U7ea6xbA/swc/vpeGnmFnw80xgSEdg2q8doNPTwHAHszXAcA6+wWQECz5G8CTmKVWJ65ugsnVgCes2Ef42eudzYoA4CIDBCRNSKyXkTuK2G/HiKSJyJXVGR8xhk9mycydWQKlT0HADkMnTiXNb/ZAUCgsuRvAlKfFrUYe05Lz/Yz361j4Zb9JXyHKW8iEgm8BAwE2gHDRKRdMfv9B9eqoCZM9Ghak6kjU6jiXgVwX2YO106eR/oBW7sjEFnyNwHrjvNakdzENZs4L18Z+85ith886nBUYS0FWK+qG1U1B5gGDC5iv9uA6YDN1gwzyYUOAPZmZDNqaioZ2bkOR2YKs+RvAlZUZATPDetKQqVoAHYeOsY1k+baBEDnNAS2eW2nu9s8RKQhMASYUFJHVt47dHVvUoMp1yd71u5Y/dsRbn93sc3bCTCW/E1Aa1i9Ei8M60pMpOtHdcu+LK6ZNJc9R7IdjiwsFVWHufCI/ixwr6qWWK1JVSeqarKqJteuXbukXU0Q6tk8kceGdPRs/7B6N49/scrBiExhPiV/m+RjnHRW69q8dG03Tz2ADXsyGT55HvszcxyOLOykA0le242AHYX2SQamichmXNU+XxaRSysmPBNIrkxO4ub+LTzbk3/ZxDvztjoYkfFWavK3ST4mEFzQri7PD+tKpPsAYM2uI3YAUPEWAK1EpJmIxABDgU+9d1DVZqraVFWbAh8Ct6jqxxUfqgkEd1/Yhova1/VsP/jJct5bYAcAgcCXM3+b5GMCwqCO9Rl3VWfPI4Ardx7m0pdm24piFURVc4GxuA7wVwHvq+oKERkjImOcjc4EoogI4Zmru9C+QTUAcvOVe6cv4+8fLSM7t8Q7Q6ac+ZL8/TbJx5iyGtylIU9e3slzALB1fxZDXp7NL+usEmBFUNUvVLW1qrZQ1X+72yao6u9+91X1BlX9sOKjNIEkPiaKV2/oQdt6VT1t78zbyrCJNnnXSb4kf79N8rEZvsYfrkxOYsLw7lSKdi0ocuRYLte/Np+3521xODJjTFHqVotjxi19uLhzA0/boq0H+eMLv/Drhn0ORha+fEn+fpvkYzN8jb9c1L4eH4zpTb1qcYBrHYD/+2g5j3+5ykoBGxOA4mOieH5oFx74wxm4p+6w50g210yey+NfrLLbABXMl+Rvk3xMQOrQMIGPb+1Lh4bVPG2v/LSRBz5eTr49U2xMwBERRp3ZnDdv7EmNeNf6HarwyqyNDH5xNqt2HnY4wvBRavK3ST4mkNVLiOP9P/fm/DMKZhS/PW8rd32whNy8fAcjM8YUp2/LWnx5x1mc2aqWp231b0cY/OJsJv+80a7eVQBx6h85OTlZU1NTHflsE3qO5+Vz1wdL+CSt4I7UwA71eG5oV2Kiwm8tKxFZqKrJTsfhCxsLwld+vvLm3C089sUqsnMLDtYHtK/Hf6/sRNW4aAejC34ljQPhNyqakBQdGcG4q7owLKVgesqXy3/jpjdsXXFjAlVEhHB9n6Z8fvuZdGyY4Gn/asVvXPLibKsKWI4s+ZuQERkhPDakIzf2a+Zp+2ntHi5/eQ7b9ltlMWMCVcs6VZh+cx9u6NPU07ZpbyaXvjSbT9K2OxdYCLPkb0KKiPDAH87gjvNaedrW7DrC4JdmM3+TlQQ2JlDFREXw0CXteW5oF89jvEeP53HHtDRuFAKA2AAAFHlJREFUeiPVDuD9zJK/CTkiwl8vaM3TV3b2FATan5nDtZPn8v6CbaV8tzHGSYO7NOSTsX1pXquyp+3blbs4f9xPPPvdWo4dt0cC/cGSvwlZl3dvxLuje1KrSgwAx/OUe6Yv5fXZmxyOzBhTktZ1q/LJ2L5cldzI05adm8+z363jwmdm8UnadisRXEaW/E1I696kJh/f2pcz6hesBfDwZyv5eZ2tMGlMIKsaF82TV3Rm+s19TlrLY+v+LO6YlsZ5T8/k/QXbyMm1R3pPhyV/E/Ia1YjnwzG96ZJUHYB8hVvfXsSmvZkORxZ8SivvLSKDRWSpiKS5l/Lu50ScJnR0b1KDT27tx6OXdiChUsGjf5v3ZXHP9KX0/++PvDt/qy3sdYos+ZuwUDk2iokjulO3WiwAh4/lMmrqAg4fO+5wZMHDx/Le3wOdVbULMBKYXLFRmlAUGSEM79WEn+7uzx3ntaJaXJTnvR2HjnH/jGVc+cqvrNtljwb6ypK/CRt1qsUx6bpkYt2L/mzYk8nt7y62e4e+K7W8t6pmaMHKYZX5fREwY05b9fgY/npBa2bfdy73DmhLYuUYz3sLtxxg0PM/M+7btVYnwAeW/E1Y6dSoOk9e0cmzPXPNHh75bKUtJ+qbUst7A4jIEBFZDXyO6+z/d6zCpymLqnHR3Ny/Bb/cey63n9uS6EhXpaDjecrz369j4HM/W52AUljyN2FncJeG3NK/hWf79TmbeejTFXbPsHS+lPdGVT9S1bbApcAjRXVkFT6NP1SKieTOC9vw+e1n0q1xdU/7xj2ZXD5+Dl+v+M3B6AKbT8nfJvmYUHPXhW0Y1LGeZ3vqr1v4+0fL7BZAyXwp7+2hqrOAFiJSq7h9jPGH1nWr8uGYPjxyaQcqx7gWCMrKyePPby7kxR/W2ZW9IpSa/G2SjwlFERHCc0O78sdO9T1t0xZs426rBliSUst7i0hLERH3625ADLCvwiM1YSciQhjRqwkf39qXJonxnvanvlnL7dPSbHGgQnw587dJPiYkRUdG8NzQrlzWreC29YzF2xnz1kJ7DLAIPpb3vhxYLiJpuE4arlY77TIVqFXdqnx8S196N0/0tP1vyQ4GPf8zczfacegJviR/v03yMSbQREYIT13RmWEpjT1t363azblPz+TmtxayZNtBB6MLPKr6haq2VtUWqvpvd9sEVZ3gfv0fVW2vql1Utbeq/uJsxCYc1agcwxs3pjC8V8Hv9cY9mQydOJd7PlzCwawcB6MLDL4kf79N8rEZviYQRUQIjw3pwMi+BdUAVV0lgQe/NJuhE3/lh9W7bEKgMUEkOjKCRy/tyBOXdaRKbMG6AO+npnPe0z+FfbVAX5K/3yb52AxfE6hEhAcvbsd7o3txTpuTfzbnbtzPyNdTOf+Zn3h73haO5ti9Q2OCxdCUxnx359kMaF8wwXdfZg53TEvj7x8tC9s1AXxJ/jbJx4SNns0Tee1PKXz1lzMZ0rUhkREFF7427snk/z5aTp8nvufpb9aw50i2g5EaY3xVLyGOCSO6M+m6ZOonxHna35m3latfmcvOQ0cdjM4ZpSZ/m+RjwlHbetV45uouzLrnHEaf1ZyqXpcND2Qd54Uf1tP3iR+498OltqSoMUHignZ1+fbOs7m4cwNPW9q2g1z8wi9hNxlQnMrRycnJmpqa6shnG3OqMrJzeX/BNl6dvYn0A78/SxjYoR7/uaIT1eKii/juiiciC1U12ek4fGFjgaloqsqUXzbx+JerPWt7REYI//jDGVzfpynuC9lBr6RxwFb4M8YHVWKjGNmvGTPv6s/L13ajc1L1k97/cvlvjJgyn0NZVijImEAnIow6szlv3djTUx8gL1956H8ruX/GsrAoE2zJ35hTEBUZwaCO9fn4lj58MKY3F7ar63lvybaDXDtlLgcy7TEiY4JB7xaJfHZ7Pzo3SvC0TVuwjWsmzQ35OT2W/I05DSJCj6Y1mXhdMo9e2sHTvnz7YYZNmsvejNAeOIwJFfUTKvHen3szpGvB8jWpWw5wyYu/sHjrAQcjK1+W/I0po+G9mvDk5Z04cZtw9W9HGDZxLrsPH3M2MGOMT+KiIxl3VWf+PqgtJx7w2XnoGJeNn8P9M5ayLwQP5i35G+MHV/VIYtxVnT0Dx7rdGVz60mwrK2pMkBARRp/Vgldv6EHVONfTParw7vxt9H9qJq/N3hRSdT8s+RvjJ0O6NuLZoV09awPsOHSMy8fP4buVuxyOzBjjq/5t6vDZbf1OWuzryLFc/vW/lVzwzCwm/7yR/SEwr8eSvzF+dEnnBky5PtmzLkBWTh43vZnK5J83hkRZUR/Ke1/rLu+9VETmiEhnJ+I0piyaJFbmtT+l8OoNyTT1qhC4aW8mj36+il6Pfc/YdxYxe/3eoP29tuRvjJ/1b1OH6bf0oVGNSoDr0uGjn69izFsLWZoevIWCfCzvvQk4W1U74arxMbFiozTGf85tW5ev/3oW9w1se9JCXzl5+Xy2dCfXTp7HpS/N5qe1e4LuIMAW+TGmnOzLyGb0mwtZuOXkGcMpzWoy+szmnNu2DhER5bOYSHks8iMivYGHVPUi9/b9AKr6eDH71wCWq+rvqoB6s7HABIPM7Fw+W7qDd+dvI62Iap89mtbgzgva0LtFYhHf7Qxb5McYByRWieXtUT25onujk9rnb9rPqDdSOX/cT0yds5mM7FyHIjxlPpX39nIj8GW5RmRMBakcG8XVPRrz8a19+eovZ3Jd7ybERBWk0AWbDzBs0lxueG0+2/ZnORipbyz5G1OO4qIjeerKznx2Wz+GdG1IlHehoL2Z/PPTFfR+7Hse/t9KtuzLdDBSn/hU3htARM7BlfzvLeZ9K+9tglbbetV4eHAHZt19DsN7NSY6suBXY+aaPVzwzE+Mn7mB4wH8dIBd9jemAu08dJTXZ2/mnXlbOVLojF8EhnRpyN8uakPD6pXK9DlOXvYXkU7AR8BAVV1bWr82Fphgt21/Fs9/v44PF6XjnVLb1K3Kw4Pbk9KsZqn1AvLylQ17MliWfojICKFHs5rlOg74lPxFZADwHBAJTFbVJwq9fy0FR/gZwM2quqSkPu0X3oSzjOxcZixK5/U5m9m45+Qz/pioCEb2bcYt57Q47UJB5ZT8o4C1wHnAdlzlvq9R1RVe+zQGfgCuU9U5vvRrY4EJFWnbDnL/jGW/W9+jTd2qXNatIUO6NqROtTjy85Ut+7NYseMQy7cfZsm2gyzbfuh3twAb14ynV/Oa9G6RSK/midRPOLWDgTIlf/cM37XABbju8S0AhqnqSq99+gCrVPWAiAzEdXbQs6R+7RfeGMjPV35ev5cpv2xi1tqTL3/XiI/mtnNbMbzXyfcWfVFeVf1EZBDwLK4TgVdV9d8nSnur6gQRmYyrxPcW97fklhaHjQUmlOTm5fP6nM08/c1ajh7PO+m9CIE29aqxdV8mmTl5xfRQNBFIe/BCEir5fkJQ0jgQVVRjISnAelXd6O5sGjAY8CT/Qkf4c4GTZzgZY4oUESGc3bo2Z7euza8b9vH4l6tYmn4IgANZx3n4s5Xk5OUz5uwWDkfqoqpfAF8Uapvg9XoUMKqi4zImUERFRjDqzOYM6FCPZ75dxxfLdnoOAvKVElf9rFUlli5JCRw7nk/qlv0cO14wZ6Bd/WqnlPhLjdOHfYqa4VvSWb3N8DXmNPRukcjHt/Tls2U7efKr1aQfOEpi5Riu7dnY6dCMMaeoUY14nr6qM/8a3J4vl+1k+qJ05m7c73k/sXIM7RpUo32DBDo1SqBLUnXqJ8R55gbk5OazJP0gczfs49eN++jauHpxH3VafEn+pzPDt18x748GRgM0bmwDmjGFRUQIl3RuwEXt6/Lmr1tIqBRN1dO872+McV6V2CiuTE7iyuQkth88ytZ9WTSvXZk6VWNLnAQYExVBj6Y16dG0Jred18rvcfmS/NOBJK/tRsCOwju5Z/hOxjXDd19RHanqRNwrfiUnJwfXckjGVKDYqEhGndnc6TCMMX7UsHqlMs/g9xdfZhEtAFqJSDMRiQGGAp967+Ce4TsDGOHLoz3GGGOMcU6pZ/6qmisiY4GvKZjhu8J7hi/wIJAIvOy+jFHqDF9jjDHGOMOXy/42w9cYY4wJIba8rzHGGBNmLPkbY4wxYcaxtf1FZA8Fq4CVpBawtxxCCKZ+gynWYOs3mGI9lX6bqGrtcvh8v3N4LHD6/8n6DYw+Q7XfYscBx5K/r0QktZyWKQ2afoMp1mDrN5hiLc9+g4H9/1u/5dVnOPZrl/2NMcaYMGPJ3xhjjAkzwZD8J1q/QRVrsPUbTLGWZ7/BwP7/rd/y6jPs+g34e/7GGGOM8a9gOPM3xhhjjB8FbPIXkQEiskZE1ovIfX7sd7OILBORNBFJLUM/r4rIbhFZ7tVWU0S+FZF17j9r+Knfh0RkuzvmNBEZdIp9JonIjyKySkRWiMgd/oi3hH7LGm+ciMwXkSXufv/lp3iL67dM8br7iBSRxSLymT9iLaHfMscabGwssLHAxoJyGAtUNeC+cNUQ2AA0B2KAJUA7P/W9Gajlh37OAroBy73angTuc7++D/iPn/p9CLirDLHWB7q5X1cF1gLtyhpvCf2WNV4BqrhfRwPzgF5+iLe4fssUr7u/O4F3gM/89bNQTL9ljjWYvmwssLHAxoJi+y1TrIF65p8CrFfVjaqaA0wDBjsc00lUdRawv1DzYGCq+/VU4FI/9VsmqrpTVRe5Xx8BVgENKWO8JfRb1nhVVTPcm9HuL/VDvMX1WyYi0gj4A66S1ieU+WehmH7DjY0FfmRjQan9lkkwjQWBmvwbAtu8ttPxww+SmwLfiMhCERntpz5PqKuqO8H1ywDU8WPfY0VkqftS4GldNgIQkaZAV1xHun6Lt1C/ZY7XfYkrDdgNfKuqfom3mH7LGu+zwD1AvlebP/5ti+q3rLEGGxsLfs/GAhsLTjjtWAM1+UsRbf56LKGvqnYDBgK3ishZfuq3PI0HWgBdgJ3A06fTiYhUAaYDf1HVw/4Kroh+yxyvquapahegEZAiIh38EWsx/Z52vCLyR2C3qi70R3w+9OuXn4UgYmPByWwssLHghDL92wZq8k8Hkry2GwE7/NGxqu5w/7kb+AjXZUV/2SUi9QHcf+72R6equsv9g5oPTOI0YhaRaFy/lG+r6gx/xVtUv/6I9wRVPQjMBAb4I96i+i1jvH2BS0RkM65L0ueKyFt+iLXIfv35bxskbCzwYmOBjQX4aSwI1OS/AGglIs1EJAYYCnxa1k5FpLKIVD3xGrgQWF7yd52ST4Hr3a+vBz7xR6cnfnDchnCKMYuIAFOAVao6zuutMsVbXL9+iLe2iFR3v64EnA+s9kO8RfZblnhV9X5VbaSqTXH9nP6gqsPLGmtx/Zb13zYI2VjgxcYCGwvw11igZZjVWJ5fwCBcM0Y3AP/npz6b45otvARYUZZ+gXdxXWo5juvs5EYgEfgeWOf+s6af+n0TWAYsxfWDVP8U++yH61LpUiDN/TWorPGW0G9Z4+0ELHZ//3LgQXd7WeMtrt8yxevVf38KZuKW+WehmH79EmswfdlYYGOBjQVF9lumWG2FP2OMMSbMBOplf2OMMcaUE0v+xhhjTJix5G+MMcaEGUv+xhhjTJix5G+MMcaEGUv+DhKRjNL3OuU+Z4pIcqG2j8RV9Wm9iBySgipQfURksoi0K4c4KonIT+4lNJuKyFFxVaRaJa5qWteX3sspfV5tEfnKn30aU1FsLPDr59lY4IMopwMw5U9VhwCISH9cVaD+6PX2nHL62JHADFXNc63/wQZV7eqOozkwQ0QiVPU1f3yYqu4RkZ0i0ldVZ/ujT2NCjY0F5gQ78w8w7qPW6SKywP3V192eIiJz3EfMc0Skjbu9kohME1dxh/eASqf4eZ6zAxHJEJH/iKvQyXfuz5wpIhtF5BL3PpEi8l93bEtF5M/FdH0txaxkpaobcZWnvL2Uv9vPItLFK9bZItJJRM72OmNZfGKlNuBj9+caE/RsLLCxoFyd7kpD9lX2LyCjiLZ3gH7u141xLZcJUA2Icr8+H5jufn0n8Kr7dScgF0gu5vP6414dyqtt5on9ca3QNdD9+iPgG1ylLjsDae720cAD7texQCrQrFCfMcBvXttN8apJ7m6rDhwt5e92PfCs+3VrINX9+n+4irIAVPH63obAMqf/X+3Lvk71y8YCGwsq+ssu+wee84F27stjANXcR7MJwFQRaYXrFzPa/f5ZwPMAqrpURJaW4bNzgBP3ypYB2ap6XESW4fqlBdca6J1E5Ar3dgLQCtjk1U8t4GApn+Vdra24v9sHwD9E5G5clw5fd7fPBsaJyNu4Liemu9t3Aw18+HsaEwxsLLCxoNxY8g88EUBvVT3q3SgiLwA/quoQcdXLnun1tr/WaD6u7sNmXHWjswFUNV9ETvysCHCbqn5dQj9HgbhSPqsrsMr9+hGK+LupapaIfAsMBq4Ckt3tT4jI57jWDp8rIuer6mr3Z57072ZMELOxwMaCcmP3/APPN8DYExte97kSgO3u1zd47T8L970tcdWj7lTO8X0N3Cyu8p2ISGtxVUXzUNUDQKSIFPlL7/6lfgp4wd1U3N8NYDKus5kFqrrf/f0tVHWZqv4H16XGtu59WxP6Ve5M+LCx4GQ2FviRJX9nxYtIutfXiYkvye4JNCuBMe59nwQeF5HZQKRXH+OBKu5LfPcA88s55snASmCRiCwHXqHoK0jf4Kr0dUIL94ScVcD7wAtaMLu3uL8bqroQOAx4zwT+i4gsF5EluI7uv3S3nwN8Xqa/nTHOsLHAxcaCCmJV/Uy5EJGuwJ2qOqKM/TTAdemvrarml7LvLGCw+2zDGBMAbCwITHbmb8qFqi4GfhSRyFJ3LoaIXAfMw1VrvbRf9trAOPtlNyaw2FgQmOzM3xhjjAkzduZvjDHGhBlL/sYYY0yYseRvjDHGhBlL/sYYY0yYseRvjDHGhBlL/sYYY0yY+X/Yj+Wnx/LagAAAAABJRU5ErkJggg==\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Define the figure size for a \n", "#portrait 8.5 x 11 in page (e.g. like for a paper)\n", "plt.figure(figsize=(8.5,11))\n", "\n", "# Loop over all models and plot\n", "for i,model in enumerate(rmm_ds['model'].values):\n", " plt.subplot(nrows,ncols,i+1)\n", " x=np.arange(0,46,5)\n", " y=np.arange(0,1.1,0.1)\n", " plt.plot(rmm_ds['bivarcorr'][i,:],linewidth=3.0)\n", " plt.xticks(x)\n", " plt.yticks(y)\n", " plt.title(model)\n", " plt.xlabel('Lead Time (Days)')\n", " plt.hlines(0.5,0,45)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "There are two problems with this plot:\n", "1. We have overlap between the titles and the xaxis labels. We will fix this using `plt.tight_layout()`\n", "2. The plots have different ranges for the y-axis. We will fix this using `plt.ylim()`" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Define the figure size for a \n", "#portrait 8.5 x 11 in page (e.g. like for a paper)\n", "plt.figure(figsize=(8.5,11))\n", "\n", "# Loop over all models and plot\n", "for i,model in enumerate(rmm_ds['model'].values):\n", " plt.subplot(nrows,ncols,i+1)\n", " plt.ylim(0,1.0)\n", " x=np.arange(0,45,5)\n", " y=np.arange(0,1,0.1)\n", " plt.plot(rmm_ds['bivarcorr'][i,:],linewidth=3.0)\n", " x=np.arange(0,46,5)\n", " y=np.arange(0,1.1,0.1)\n", " plt.title(model)\n", " plt.xlabel('Lead Time (Days)')\n", " plt.hlines(0.5,0,45)\n", " plt.tight_layout()" ] } ], "metadata": { "kernelspec": { "display_name": "Python (aoes)", "language": "python", "name": "aoes" }, "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 }