{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load the data\n",
    "data_fp = '/uufs/chpc.utah.edu/common/home/u0035056/public_html/monsoon_SW_Utah/data/'\n",
    "pwat_anl  = pd.read_json(data_fp+'hrrr_PWAT_anl_daily_avg_2023.json', typ='series')\n",
    "pwat_fcst = pd.read_json(data_fp+'hrrr_PWAT_midnight_fcst_daily_avg_2023.json', typ='series')\n",
    "\n",
    "cape_anl  = pd.read_json(data_fp+'hrrr_CAPE_anl_daily_max_2023.json', typ='series')\n",
    "cape_fcst = pd.read_json(data_fp+'hrrr_CAPE_midnight_fcst_daily_max_2023.json', typ='series')\n",
    "\n",
    "anl_vars_all  = pd.concat({'PWAT': pwat_anl, 'CAPE':  cape_anl}, axis=1)\n",
    "fcst_vars_all = pd.concat({'PWAT':pwat_fcst, 'CAPE': cape_fcst}, axis=1)\n",
    "\n",
    "anl_vars_all.reset_index(inplace=True)\n",
    "anl_vars_all = anl_vars_all.rename(columns = {'index':'DateTime'})\n",
    "anl_vars_all['Month/Day'] = anl_vars_all['DateTime'].dt.strftime('%m/%d')\n",
    "\n",
    "fcst_vars_all.reset_index(inplace=True)\n",
    "fcst_vars_all = fcst_vars_all.rename(columns = {'index':'DateTime'})\n",
    "fcst_vars_all['Month/Day'] = fcst_vars_all['DateTime'].dt.strftime('%m/%d')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DateTime</th>\n",
       "      <th>PWAT</th>\n",
       "      <th>CAPE</th>\n",
       "      <th>Month/Day</th>\n",
       "      <th>PWAT_norm</th>\n",
       "      <th>CAPE_norm</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023-06-01</td>\n",
       "      <td>1.046123</td>\n",
       "      <td>265.455072</td>\n",
       "      <td>06/01</td>\n",
       "      <td>-0.453877</td>\n",
       "      <td>-234.544928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023-06-02</td>\n",
       "      <td>1.421242</td>\n",
       "      <td>574.527536</td>\n",
       "      <td>06/02</td>\n",
       "      <td>-0.078758</td>\n",
       "      <td>74.527536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023-06-03</td>\n",
       "      <td>1.204992</td>\n",
       "      <td>316.087923</td>\n",
       "      <td>06/03</td>\n",
       "      <td>-0.295008</td>\n",
       "      <td>-183.912077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023-06-04</td>\n",
       "      <td>1.248299</td>\n",
       "      <td>278.333333</td>\n",
       "      <td>06/04</td>\n",
       "      <td>-0.251701</td>\n",
       "      <td>-221.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023-06-05</td>\n",
       "      <td>1.157553</td>\n",
       "      <td>184.988406</td>\n",
       "      <td>06/05</td>\n",
       "      <td>-0.342447</td>\n",
       "      <td>-315.011594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2023-06-06</td>\n",
       "      <td>0.795773</td>\n",
       "      <td>130.711111</td>\n",
       "      <td>06/06</td>\n",
       "      <td>-0.704227</td>\n",
       "      <td>-369.288889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2023-06-07</td>\n",
       "      <td>0.733909</td>\n",
       "      <td>68.916908</td>\n",
       "      <td>06/07</td>\n",
       "      <td>-0.766091</td>\n",
       "      <td>-431.083092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2023-06-08</td>\n",
       "      <td>0.927878</td>\n",
       "      <td>104.540097</td>\n",
       "      <td>06/08</td>\n",
       "      <td>-0.572122</td>\n",
       "      <td>-395.459903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2023-06-09</td>\n",
       "      <td>1.135871</td>\n",
       "      <td>118.455072</td>\n",
       "      <td>06/09</td>\n",
       "      <td>-0.364129</td>\n",
       "      <td>-381.544928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2023-06-10</td>\n",
       "      <td>1.033680</td>\n",
       "      <td>64.967150</td>\n",
       "      <td>06/10</td>\n",
       "      <td>-0.466320</td>\n",
       "      <td>-435.032850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2023-06-11</td>\n",
       "      <td>0.945768</td>\n",
       "      <td>303.590338</td>\n",
       "      <td>06/11</td>\n",
       "      <td>-0.554232</td>\n",
       "      <td>-196.409662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2023-06-12</td>\n",
       "      <td>1.339454</td>\n",
       "      <td>439.785507</td>\n",
       "      <td>06/12</td>\n",
       "      <td>-0.160546</td>\n",
       "      <td>-60.214493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2023-06-13</td>\n",
       "      <td>1.067861</td>\n",
       "      <td>215.497585</td>\n",
       "      <td>06/13</td>\n",
       "      <td>-0.432139</td>\n",
       "      <td>-284.502415</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     DateTime      PWAT        CAPE Month/Day  PWAT_norm   CAPE_norm\n",
       "0  2023-06-01  1.046123  265.455072     06/01  -0.453877 -234.544928\n",
       "1  2023-06-02  1.421242  574.527536     06/02  -0.078758   74.527536\n",
       "2  2023-06-03  1.204992  316.087923     06/03  -0.295008 -183.912077\n",
       "3  2023-06-04  1.248299  278.333333     06/04  -0.251701 -221.666667\n",
       "4  2023-06-05  1.157553  184.988406     06/05  -0.342447 -315.011594\n",
       "5  2023-06-06  0.795773  130.711111     06/06  -0.704227 -369.288889\n",
       "6  2023-06-07  0.733909   68.916908     06/07  -0.766091 -431.083092\n",
       "7  2023-06-08  0.927878  104.540097     06/08  -0.572122 -395.459903\n",
       "8  2023-06-09  1.135871  118.455072     06/09  -0.364129 -381.544928\n",
       "9  2023-06-10  1.033680   64.967150     06/10  -0.466320 -435.032850\n",
       "10 2023-06-11  0.945768  303.590338     06/11  -0.554232 -196.409662\n",
       "11 2023-06-12  1.339454  439.785507     06/12  -0.160546  -60.214493\n",
       "12 2023-06-13  1.067861  215.497585     06/13  -0.432139 -284.502415"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Normalize the data by teh rough two season average (see thesis for more details)\n",
    "anl_vars_all['PWAT_norm']  = anl_vars_all['PWAT'] - 1.5 #~ pwat_mean\n",
    "anl_vars_all['CAPE_norm']  = anl_vars_all['CAPE'] - 500 #~ cape_mean\n",
    "\n",
    "fcst_vars_all['PWAT_norm'] = fcst_vars_all['PWAT'] - 1.5 #~ pwat_mean\n",
    "fcst_vars_all['CAPE_norm'] = fcst_vars_all['CAPE'] - 500 #~ cape_mean\n",
    "anl_vars_all"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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0Q7xLbLl+xt4FNyZ+Ivr06QN/f3/xb+GC3rBhAxwcHFCvXj1JDxlBWloaRo0aBYVCgXbt2onLueHgrbzEVng6M3DgQAQEBGD9+vWwtbVFdHS0uD3HViov8VW/UT19+hTLly+Hm5sbunXr9mET/ZkwJLZCL41WrVqhYMGCmDNnjqSy9ejRow+b6M+EIbEVxklUP28fP36MpUuXwt7eHl27dv2wif5M5BRbe3t7yXl7+fJlREREwMTEBAEBAahQoQIcHR3RuHHjj5L2z8G7lhcOHToEU1NT9O7dm3vN6ZGXPDcxMREmJiYIDw9HbGwsfvrpJ7i6uqJly5YfJe2furzkC+r+/fdfrFq1Ck5OTuJDByZ15MgRBAcHo02bNtizZw/Kli2L4OBgsbFQsyfSwYMH4eLiAldXV1StWhVt2rSBo6Mjvvvuu4+R/E9aXmOrjutoOXvX2HIdLXfvc95y/YzlBTcmfkSnT5/G5cuXAQAjR46En5+fOIi3epfjadOmwcLCAv369ZPMHJqSkoJhw4aJs4oKeKbG949t3759oVAooFQq0bt3b3E5xzbb+8Z39OjRaNasGRwcHDBo0CBxOU8K8G6xzcjIwLlz53Dy5EmkpKTo3C+fu+9/3g4bNgzffPMNHBwcMGDAAHE5n7fvFluhh8atW7ewZcsWtGzZEj179sTcuXPF9fm8zfa+564gMjISM2bM+DCJ/ky8S2yF2S03bdqEokWLwsvLC5UrV8aECRPE9fncff/z9ujRo+jWrRtsbGwwcOBAcTnnudlOnz6Nv//+G9euXUOPHj3w4MEDANkTgAQGBiIiIgKnT58G8LaRRYjduXPnMH36dFStWhXfffcdJk2aJO6X45u32Oq61rmOpt+7xlY4L7mOpt/7nrdcP2N5xY2JH0FWVhZu3LgBZ2dnrFy5EkD2DIHGxsZYv369uJ76Rd6mTRs4OTmJT22zsrKQlpaGBQsW4LfffpPs+0uWH7EFgPHjx0OhUGDdunWSfX/p3ie+Fy5cEJfNmTMH9evXx9atWyX7/pK9a2wdHBy0etYyqfw6bxcuXIivv/4aW7Zskez7S/Y+sdUcs0vXvr90+VVeEGLJr9i9lV/lhfv37+PZs2eSXuBf+rmbX7H966+/MG3aNLE3jbDvL516fFesWAHg7VAcQqPhvHnz4O3tjTp16ogNuLrGrs7IyJD05vrS45tfsU1NTeU6mob8iu24ceO4jqYhv2L766+/cv2M5Qk3Jn5EjRo1QkREhPh3VFQUihUrJl7gwNuL/PHjx7C3t0f//v0l+9D1xIa9f2zT0tJw8+ZN8W+OrVR+nLvqvQ84vm/lR2yZbvkRW/WB0/m8fYvPW3nld3z53H2Lz1355Eds1V/J5/NWqlGjRoiMjBT/zszMlNQLhgwZAjc3N7Rt21aMY2pqqs5ey0zqXWObnJwsrsONtLq9a2yF8ldGRgbX0fTIjzyBy7ksL/TPu85kk5WVRUREnTt3phcvXtDGjRuJiGj48OF0+/Zt6t69O6WlpRERkbGxMQEgBwcHKlWqFP3111+UmZlJmZmZRESS6d2Fqdy/ZPkR26ysLDIxMaGCBQuK++PYZsvPc9fKykrcL8c3/85dpi0/YpuRkUFERNbW1uJ++bzl81ZucsWXz10+d+WUn2UFExMTcb983mZTj+/z589p8+bNRJRdJ1AqleLnw4cPp9q1a9POnTtp1KhRBIDi4uJo4MCBdPXq1Y+W/k/Z+8Z2wIABYmyNjIzE/fK5m3/nrZGREdfRNORHbK9cuUJEXM5lecONiR+IUCgienthBgcHk6WlJR07doyIiMLDw2nUqFG0fv166tWrF927d09cPzU1ldLS0sjNzY2MjIwkN6gvXX7HVr2BVv3/Xyo+d+Uj57n7pcvv2BobG3/4L/GJ4vNWXhxf+XBs5cNlBXnlFN+jR49K1lEqleL/J0yYQOHh4bR06VJq0aIFffvtt3TlyhXy9/f/wN/g08WxlU9+xvbq1auS2H7p+W9+n7cBAQEf+Buw/4SP0h/yC/PHH39g6tSpknFghG7DM2fOhKWlpTjWzqNHjzBp0iQoFApER0djw4YNOHfuHKZOnQp7e3usXbv2o3yHTxXHVl4cX/lwbOXDsZUPx1ZeHF/5cGzlw7GVV27xtbKywuPHjyXL1R04cABOTk5QKBTo27ev1j6+ZBxb+XBs5cOxZZ8KbkyU2bRp02BtbY3WrVsjLi5O6/N//vkH4eHhGDZsmGT5ihUrUKRIESiVSvj4+MDR0RFz5sz5UMn+LHBs5cXxlQ/HVj4cW/lwbOXF8ZUPx1Y+HFt5GRrf4cOH69z+6tWraN26NYyMjLBs2TJxOTcacGzlxLGVD8eWfUq4MVFG06ZNg6OjI+bOnYu///5b8plwwaanp6Nt27aoW7cuXr9+LZl18d69ezhy5Aj279+Pq1evam37JePYyovjKx+OrXw4tvLh2MqL4ysfjq18OLbyymt837x5I4ldeno6FixYABsbG8THx2tt+yXj2MqHYysfji371HBjokyysrLwzTffoH///nj+/Lm4/P79+0hLS5PM8JWUlASFQiE+XVD/THOfjGMrN46vfDi28uHYyodjKy+Or3w4tvLh2MrrfeKrHscbN27gyZMnACCZ1fVLxrGVD8dWPhxb9inixkSZ3Lp1CyqVCitWrBCXtW3bFmXKlEFoaChatGiBJ0+eiBd3s2bNEB0djeTk5I+V5M8Gx1ZeHF/5cGzlw7GVD8dWXhxf+XBs5cOxldf7xlezYZYbDd7i2MqHYysfji37FH3Z0yDJKDMzk2xsbMjJyYlSUlKoSJEidOTIEapcuTIVKVKENm/eTDVq1BCnYY+MjKSbN2/SrVu3iIgIwMdM/ieNYysvjq98OLby4djKh2MrL46vfDi28uHYyut946vpS5/5Vh3HVj4cW/lwbNkn6aM1Y/5HqbfyFy1aFNHR0Thy5AiqVKmCy5cvi5/t2LEDrq6uaN68OYDsMQw8PDwwaNCgD57mzwXHVl4cX/lwbOXDsZUPx1ZeHF/5cGzlw7GVF8dXPhxb+XBs5cOxZZ8ybkzMB+fOncPVq1clr26kp6dj3LhxUKlU8Pb2RpUqVSTbvH79GsOGDYO5uTlOnjwJAJgwYQI8PT21BlT9knFs5cXxlQ/HVj4cW/lwbOXF8ZUPx1Y+HFt5cXzlw7GVD8dWPhxb9rng/q3vqVGjRlS7dm0qXrw4BQQE0PDhw+nOnTtkbGxMtWvXpvDwcLp37x45ODhQamoqZWRkEBGRhYUF+fn5EQAyNjYmIqKiRYvS0KFDydvb+2N+pU8Gx1ZeHF/5cGzlw7GVD8dWXhxf+XBs5cOxlRfHVz4cW/lwbOXDsWWflY/ShPkfkJKSgnr16qFEiRLYsGED9u7di5iYGHh4eKBcuXJ49uwZAGDjxo0oXLgwFAqFZMDUtLQ0jB8/HiVLlsTt27c/1tf4JHFs5cXxlQ/HVj4cW/lwbOXF8ZUPx1Y+HFt5cXzlw7GVD8dWPhxb9jnixsR3dPv2bfj6+mL58uWS5VOnToWbmxvKli0rLluxYgXCwsJgZmaGESNGYPHixZgyZQqsra0xcODAD530Tx7HVl4cX/lwbOXDsZUPx1ZeHF/5cGzlw7GVF8dXPhxb+XBs5cOxZZ8jbkx8R3v27IFCocClS5cAZD9NAIDU1FT88ssvMDc3R6tWrcT1jx8/jvbt28PFxQVOTk4ICAjAzz//LH6uOV37l4xjKy+Or3w4tvLh2MqHYysvjq98OLby4djKi+MrH46tfDi28uHYss8RNya+o4cPH8LJyQkDBgwQl2VkZAAAnj59ij59+sDa2hqLFy+WbHf16lVcu3YNN27cEJfxxS7FsZUXx1c+HFv5cGzlw7GVF8dXPhxb+XBs5cXxlQ/HVj4cW/lwbNnniBsT31FGRgaaN2+O4sWL4/Dhw+JyYfr28+fPo1SpUmjUqBFevnyJ9PT0j5XUzw7HVl4cX/lwbOXDsZUPx1ZeHF/5cGzlw7GVF8dXPhxb+XBs5cOxZZ8jbkx8Dw8ePIClpSXatGkjTrmemZkpPg0YO3Ys7O3t8fr164+ZzM8Sx1ZeHF/5cGzlw7GVD8dWXhxf+XBs5cOxlRfHVz4cW/lwbOXDsWWfG+XHnk36c+bs7Ezx8fG0dOlS+uWXX+jBgwekVCopMzOTiIg8PT2JiOjhw4cE4GMm9bPDsZUXx1c+HFv5cGzlw7GVF8dXPhxb+XBs5cXxlQ/HVj4cW/lwbNnnhhsT31NERAQtXLiQfv31VxowYAC9ePGCjI2NKS0tjRITEykkJIQcHR1JoVB87KR+dji28uL4yodjKx+OrXw4tvLi+MqHYysfjq28OL7y4djKh2MrH44t+5wYf+wE/BfExMTQ8+fPaeLEiVS0aFGKiIig169fU1xcHK1Zs4YsLS0/dhI/WxxbeXF85cOxlQ/HVj4cW3lxfOXDsZUPx1ZeHF/5cGzlw7GVD8eWfS4U4D6y+eb48eP0yy+/0PPnz0mlUtFPP/1EYWFhHztZ/wkcW3lxfOXDsZUPx1Y+HFt5cXzlw7GVD8dWXhxf+XBs5cOxlQ/Hln3quDFRJllZWeIYB0ZGRh87Of8pHFt5cXzlw7GVD8dWPhxbeXF85cOxlQ/HVl4cX/lwbOXDsZUPx5Z9irgxUUYAeDwDmXBs5cXxlQ/HVj4cW/lwbOXF8ZUPx1Y+HFt5cXzlw7GVD8dWPhxb9qnhxkTGGGOMMcYYY4wxxphBeDZnxhhjjDHGGGOMMcaYQbgxkTHGGGOMMcYYY4wxZhBuTGSMMcYYY4wxxhhjjBmEGxMZY4wxxhhjjDHGGGMG4cZExhhjjDHGGGOMMcaYQbgxkTHGGGPsE6ZQKKhVq1bi3xkZGeTs7Ex169Z9p/09e/aMfvnlF/Hvffv25bivFStW0OjRo2nx4sXk7OxMJUqUIH9/f6pRowb98ccf75QGxhhjjDH2+eLGRMYYY4yxT5ilpSWdO3eO3rx5Q0REcXFx5OHh8c7702xMzM3OnTupZs2aRETUtGlTSkpKoqtXr1K/fv2oYcOGdPHixXdOC2OMMcYY+/xwYyJjjDHG2CeuVq1atG3bNiLK7inYvHlz8bMnT55QgwYNKCwsjCIiIujMmTNERDRs2DBq164dVapUifz8/Gj69OlERNSvXz+6du0aFS9enH766SciIkpOTqbGjRtTUFAQtWjRggAQEREAOnXqFJUsWVIrTZUrV6aOHTvS3LlziYho3rx5FB4eTsWKFaNGjRrR69ev6eXLl+Tr60vp6elERPTixQvy8fER/2aMMcYYY58fbkxkjDHGGPvENWvWjFauXEkpKSl05swZKlu2rPjZ0KFDqUSJEnTmzBkaM2YMtW7dWvzs0qVLtGvXLjp69CgNHz6c0tPTady4cVSoUCE6deoUTZgwgYiIkpKSaOrUqXThwgW6fv06HT58WFxerFgxUigUOtNVsmRJunTpEhERNWzYkI4dO0anT5+m4OBgWrBgAVlbW1OlSpXEhtCVK1dSo0aNyMTERJY4McYYY4wx+XFjImOMMcbYJy4sLIxu3rxJK1asoNq1a0s+O3TokDimYpUqVejx48f0/PlzIiKqU6cOmZmZkZOTE7m4uND9+/d17r9MmTLk6elJSqWSihcvTjdv3iSi7Feca9WqpTddQg9GIqJz585RhQoVqGjRorR8+XI6f/48ERG1b9+eFi1aREREixYtorZt275bEBhjjDHG2CeBGxMZY4wxxj4D9evXp969e0tecSaSNugJhJ6EZmZm4jIjIyPKyMjQuW996+3evZuqV6+uN01JSUkUHBxMREQxMTE0c+ZMOnv2LA0dOpRSUlKIiCgqKopu3rxJ+/fvp8zMTAoNDTXk6zLGGGOMsU8UNyYyxhhjjH0G2rVrR0OGDKGiRYtKllesWJGWL19ORNkzMzs5OZGNjY3e/VhbW9PLly9zPd7z588pIyODHB0ddX6+f/9+mjt3LnXo0IGIiF6+fElubm6Unp4upkfQunVrat68OfdKZIwxxhj7DzD+2AlgjDHGGGO58/T0pO7du2stHzZsGLVt25bCwsJIpVLRkiVLctyPo6MjRUVFUWhoKNWqVYvq1Kmjc724uDj6+uuvJctWrVpFhw4dotevX5Ovry+tW7dO7Jk4cuRIKlu2LBUsWJCKFi0qabBs0aIFDRo0SKtXJWOMMcYY+/wooOvdGMYYY4wx9kVr3749tW/fniIiIt57X2vXrqVNmzbRsmXL8iFljDHGGGPsY+LGRMYYY4wxJpvY2FjasWMHbd++nQICAj52chhjjDHG2HvixkTGGGOMMcYYY4wxxphBeAIWxhhjjDHGGGOMMcaYQbgxkTHGGGOMMcYYY4wxZhBuTGSMMcYYY4wxxhhjjBmEGxMZY4wxxhhjjDHGGGMG4cZExhhjjDHGGGOMMcaYQbgxkTHGGGOMMcYYY4wxZhBuTGSMMcYYY4wxxhhjjBmEGxMZY4wxxhhjjDHGGGMG4cZExhhjjDHGGGOMMcaYQbgxkTHGGGOMMcYYY4wxZhBuTGSMMcYYY4wxxhhjjBmEGxMZY4wxxhhjjDHGGGMG4cZExhhjjDHGGGOMMcaYQbgxkTHGGGOMMcYYY4wxZhBuTGSMMcYYY4wxxhhjjBmEGxMZY4wxxhhjjDHGGGMG4cZExhhjjDHGGGOMMcaYQbgxkTHGGGOMMcYYY4wxZhBuTGSMMcYYY4wxxhhjjBmEGxMZY4wxxhhjjDHGGGMG4cZExhhjjDHGGGOMMcaYQbgxkTHGGGOMMcYYY4wxZhBuTGSMMcYYY4wxxhhjjBmEGxMZY4wxxhhjjDHGGGMG4cZExhhjjDHGGGOMMcaYQbgxkTHGGGOMMcYYY4wxZhBuTGSMMcYYY4wxxhhjjBmEGxMZY4wxxhhjjDHGGGMG4cZExhhjjDHGGGOMMcaYQbgxkTHGGGOMMcYYY4wxZhBuTGSMMcYYY4wxxhhjjBmEGxMZY4wxxhhjjDHGGGMGMagxcd68eaRQKMR/ZmZm5OXlRU2aNKEDBw68VwJGjhxJiYmJ77UPdenp6WRra0tjx47Nt30ybbGxseTt7f2xk/Hebt26RcOGDaN///1XsvzVq1dkZGRE8+bN+0gpy19Vq1alIkWK6PxMuL7PnDlD/fr1k1zr+v6tWbMmz2koWrQotW7d+n2/iix+/vlnsra2prS0tHzb57x58yg4OJgsLCxIoVDQ8+fP823fhqhXrx5VrFgxz9vVrl2batSoIf594cIFUigUtHv37vxMXq7Onz9P1atXJwcHB1IoFDR9+nTavHkzzZ49+4Om41OXnp5O1apVo9jYWHHZ6NGjqV69euTu7k4KhYJGjx6ttd3Lly9pypQp9PXXX5O7uztZWVlRmTJlaPv27QYf25DjEBF169ZNZz5Sv379XI/RokULUigU5OrqqvPzrl27kkKhICMjI3r9+rW43MPDQzyOUqkkW1tbCg8Pp1GjRtHLly/F9Xbu3GlQntelSxf6448/yNLSkh49emRQfDTLTubm5hQaGkpLliwR1ylVqhRVr15da9sePXqQQqGgyZMnS5ZnZWVR4cKF6euvv9YbqwEDBojL5MzT8xMAsrOzoyFDhnzUdOSFZl75uXv06BENGDCAwsLCyMbGhiwsLCgsLIyGDRtGz54907lNhQoVSKFQ0Ny5c3V+HhUVJTnPHB0dqXbt2nTp0iVxnatXr+Z4buZnHeFdfY7nZ35o0qQJlStXTvz76NGjH/w3MaS+ceXKFVIoFLRjxw7Z0hEfH08xMTEUFhZGxsbG5O/vb/C2T5480Xt+nzx5UrY0fw4MKauePHlSb/weP34sWff+/fv0/fffk4uLC6lUKqpbty7dvn1ba5/Jycn0448/kqenJ5mbm1PFihXp3Llzuab35cuXpFQqqU+fPjo/r1+/vli2adKkCUVFReW6T5a7M2fO0LBhw+jNmzeS5XLnSdu3byeFQkFXrlyRZf//BcaGrHTq1CkyNzenvXv3EhFRamoqXbt2jRYtWkSVKlWiiRMn0o8//pjng1+/fp2GDBlCxYoVy/O2+mRlZdGuXbsoKCgo3/bJtB0/fpxKlSr1sZPx3uLj42nEiBHUs2dPyfKkpCTKysqi8PDwj5Sy/HX69Gm9lZ6kpCQyMzOj4OBg+v7776lBgwbiZ8OHD6f9+/dTQkKCZJuiRYvm6fivX7+mixcvUvv27fOc9g+hUaNGVLt2bTI1Nc2X/R0+fJg6duxIQ4cOpWrVqpGZmRnZ2trmy74NdeLECWratGmetxs9ejQ5OjqKfwsF3ZIlS+Zb2nIDgBo2bEiurq60evVqsrKyosDAQIqOjiYnJyfq3LnzB0vLp6579+5079492rp1KxERPX78mJYsWUKlSpWiSpUq0YoVK6h48eJa2+3cuZOmTp1KMTEx1Lt3byIiGj9+PNWvX5/279+fawHY0OMQZZ9DVatWpVGjRkmWFyhQINfvd+rUKbKxsaEHDx7Qo0ePyMnJSfzs8uXLNGfOHLKysiJPT09SqVRElN0o8s8//1DXrl2pRYsWBIAeP35Mhw8fpvHjx9PSpUvp4MGD5OrqSiVKlJAUQrds2UJjxoyhhQsXUnBwsLi8YMGC5ObmRgULFqR58+ZR//79DUq7etnp6dOnNHLkSIqJiSFvb2+qXLky2dnZaT1oSE5OpsWLFxMRaX22Y8cOunbtGk2ZMkWy/NixY7RixQoiyi50C+TK0/PblStX6Pnz559VuUIzr/ycHT58mKKjo8nS0pK6dOlCJUqUoMzMTNq7dy9NmjSJUlJSaNy4cZJt1qxZQ4cOHSIi6TknAEBnzpyhhg0b0k8//UQA6OzZs9S7d2+qV68eXbx4kYyNjenUqVNERLR48WIKDAzU2s+ncE58judnfjh58iTVqlVL/NvX15cSExOpTJkyHywNhtQ3hHKKnGX2ZcuW0b///kt16tShK1eu6L3f6SKkb8WKFeTj4yP5LCwsLB9T+fkxpKwqNCYmJCSQubm5uNzIyEiSB9+7d4/Kli1LTk5ONGfOHMrIyKAePXpQy5Ytaf/+/eJ6r169oooVK9Lz58/p559/JhsbG+rbty81aNCALl26RMbG+ptHTp06RQCoRIkSWp8dP36ctm7dSidOnBDTXbt2bYNjwfRbu3YtzZo1i4YNGyZZLneedPLkSbK2ts7Tw4MvDgxQrlw5lC5dWmt5VlYWKleuDGNjY1y7ds2QXUmsXbsWRITbt2/nedsvRWpq6sdOgpb09HRYWFhg5MiRHzspBskphl27dkWhQoW0lk+dOhXm5uZIT0+XM2kfxK1bt0BEmDBhgs7PIyIiUKpUKZ2flSxZEuHh4e+dhkOHDoGIcPDgwffe1+egc+fO8PX1zZd9ZWZm5vk8vHPnDogIy5Yte+/j9+jRAwULFnzv/eTFn3/+CSLC/v37xWVZWVmwsbHJ13znU8xf82Lt2rVQKpU4duyYzs/HjBkDIsLdu3e1Prt//z4yMjIkyx4+fAgiQufOnfOUjpyOk5mZCSsrK4wYMSJP+wSAN2/ewMjICO3atQMRYd++fZLP69Wrh8qVK8Pb2xvNmzcXl+/evRtEhK1bt2rtc+/evVAoFGjXrp3OY/74449QKBR4+fKl3s+LFy9uUPrLlSuHkiVLSpZduHABRITevXsDAL755hsEBQVJ1pkxYwYsLS1RsmRJdO/eXfJZjRo1UKhQIWRmZkqWly9fHg4ODoiIiICXl5feNOVXnp7ffvvtNy4PfiSXLl2ClZUVKlSogGfPnml9fuPGDRw+fFiyLDU1FX5+fvD390fhwoVRoUIFre2uXLkCIsL06dMly/v06QMiwrlz5wAAAwYMgFKpRHJycj5+q/z1qZyfKSkpH+xYT58+hUKhwKJFiz7YMTUZWt/o3bs3fHx8Pkia/vnnHxARRo8ebfA248ePh5mZGdLS0mRM2efH0LJq586d4efnl+v+atSoAV9fXzx//lxctmDBAhARLly4IC7r1KkTbG1tJdfznj17QETYvn17jseYNm0aiAiXLl3S+qxWrVr45ptvALy9fpYsWZJruuX2uZd1AaBu3bqoWrXqBz9ugwYN8NVXX33w435Ocn3NGf//ZFFX70GFQkE//fQTZWRkiL0iiLJ7LHTs2JGCgoLIysqK7O3tqWbNmnThwgVxnVq1alHjxo2JiMjLy4sUCgWVLl3a4O316d69O/n6+kqW/f777xQZGUn29vZkZWVFRYoU0Xqqr+natWvUqlUrKlSoEKlUKnJ2dqZvv/2W7ty5I65TsWJFqlSpkta2V65cIRMTE5o/f7647Pr169S2bVtyc3MjS0tLioiIoIMHD0q2mzJlCpmZmdGxY8eoZs2aZGlpSc2bNyciori4OKpbty55eHiQubk5eXl5Ue/evSk9PV2yj3///ZdiYmLI0dGRbG1tqWPHjhQXF6fVlT49PZ0mTJhARYsWJXNzc/Lz86NRo0ZRZmamZH8PHjygdu3aifv74Ycf6OTJk/TmzZtceyplZWXR9OnTKSwsjCwsLMjPz4+GDRsmpjktLY1MTEy0njIQES1YsICMjY0lr8Ls27ePateuTXZ2duTg4EANGjSgW7duSbaLjo6mypUr09q1a6lkyZJkampKc+bM0Zk2S0tLmjlzJl27dk3sLi/00Dlx4gQVL16c4uLiKCoqilQqFfn6+tKqVau09mVIunS5ffs2derUiXx9fcnc3JxcXV2pRo0a4jlmYmJC06dPF9c/c+YMKRQKyett6enp5O7unuOrN0lJSUREOp+iZWVl0ZkzZ3R+lpGRQefPn89zz+GkpCSqUaMGqVQq8vDwoFmzZtHx48dJqVRKnuT+888/9P3335O7uztZWlpS2bJltXrLTJkyhUxNTcWn41ZWVuTh4SG+Jrhs2TIqVqwYqVQqKleuHP3111+S7Q25bp4+fUoKhULy6mGXLl3I39+f/vzzT6pevTpZWVmRm5ub5PfQRfiNZs+eTTdu3CCFQkEmJibi69O//fYblSlThiwtLcnLy4u6detGycnJkn3Y2dnR4MGDafTo0eTr60smJiZ08eJFvce8fv06NW7cmGxsbMjJyYmGDh1Kx44dIyJpb8KZM2dS+fLlydnZmSwsLKhIkSK0cOFCyb42bNhACoWC/v77b3HZiRMnxP0cPnyYFAoF7dq1SysdTZo0oZCQEK08Sd2JEyfo22+/pYIFC5K5uTm5ubnR999/L+l9VbJkSSpbtiwREX311VekUCho/PjxpFQq6cWLFzR48GDxehVeSUlOTqZBgwZRQEAAmZubU1BQkNZ1n5SURAqFgtauXUvt27cnJycncnNzI6K8/d5HjhyhOnXqkL29PTk4OFB0dDRdv35da73cfmsAZGNjQyNHjqRp06aJr8SHh4fr7OWjKTk5mbp27Upt27YV752aTp06Rc7OzuTu7q71mYuLCxkZGUmWCX9rvkaSm5yOc+XKFUpOTs5TLw7BmTNnKDMzk+rWrUsODg50/vx58bO9e/fStm3baMCAAXTr1i3J/oU8T1feValSJQoPD6cNGzbo/S6FChUiKysrnZ8XL16cTp8+TS9evMgx7ULZSbPHn42NDRG9jbGtra1kXwBo5syZFBMTQ15eXpLPrly5Qrt376auXbuSUvm2+Cb0EBsyZAiVL1+ebt++rfO11HfJ0zMyMqhbt24UFhZGtra2ZGNjQ+XLl6fDhw9L1svLNZSQkEDlypUjCwsLKly4MK1du5aOHz9Ozs7O5OnpqTctwjW8fv166tixIzk7O5OtrS11796dANCRI0eoatWqZGVlRYUKFdJ6Zd+Qct1ff/1FJiYmNHToUMm2nTt3Jmtrazp+/DgR6c4rixUrRjExMTRv3jwqUqQIWVhYULly5ejatWv0/Plzio2NJVdXV7K3t6euXbsSAHHbRYsW6Xxlb+TIkWRjYyOuK9yvZs+eTX369CEPDw+ysrKi5s2bU0pKCl2+fJmio6PJxsaGPDw8aNGiRXrjKejQoQOZmZnR6tWrdfag9/HxkbzqSkQ0bdo0un79Ok2YMIGKFy9OZ8+e1dpOuA5zuwaSkpLIz8+PLC0tc02rpk/p/Dx27BgpFAratm0b9ejRg9zd3cna2poaNGigdT0+f/6cfvzxRypYsCCpVCoKCwuj1atXS9YRzrH9+/dTkyZNyM7OTvwdoqOjqVKlSrRx40YqVaqU+Er6sWPHKDU1lYYMGULe3t5kbW1NzZo108rTDSkPnDx5kgBIyhHFihWjtm3bin9Xq1ZN7+un9+/fJ6IPU984ceIEhYeH09y5c6lIkSJkaWlJkZGRknpPhw4dxHu+unv37pGtrS2NGTMmx2MIhJ60ee2ZGBISQiYmJgZvo+7EiRPUqFEjcnFxIXNzcwoMDKTx48eLn79P3qOPIefImjVrSKFQ0LFjx6ht27bk5OREdnZ21LZtW62yoKFlVV1OnjyZa7wPHjxIu3btolGjRol5DNHb/Ofq1atERHTjxg1asGAB9enTR3I9a66nT1JSEllZWWn1VDty5Ajt3LmThg8fLqYZgKR8tnXrVnJwcKC2bdtSSkoKERlebzdUTvVgQ8rKmZmZNGvWLCpRogTZ2NiQra0tFS9enH7//XdxnTJlylCTJk1oyJAhVKhQITI3N6ewsDDas2ePVno2bNhAlSpVIisrK3J1daU2bdrQkydPtNZbs2YNffXVV2RjY0NWVlYUHh5O27ZtowcPHpBCoaCtW7fSnj17xPxl5syZRCTNkxISEkihUNC+ffu09t+qVSvy8/MT62MAaMGCBVSmTBlSqVTk6elJPXv21Mor1etAy5cvJ4VCQZcvX5asA4AiIyN1DlnzRcittfHy5cs6nywKhCePffr0EZcdOXIEvXr1wtq1a7F//36sWbMG4eHh8Pf3F9c5ffo0oqKiULp0aSQmJiIxMRGXL182eHt9KlasKD4VAIApU6bAzMwMI0aMQHx8PHbs2IGxY8dixowZOe5ny5YtGDRoEDZs2ID9+/dj2bJl8Pf3R7Vq1cR1unTpAicnJ61tGzRogJCQELHXx5kzZ2Bra4tSpUphxYoV2LFjB+rWrQsLCwvcuHFD3K5169awtraGt7c3pk6dioSEBLHHyYQJEzB58mRs27YN+/btw+TJk2FpaSl5Mvbo0SP4+voiICAAixYtws6dO8WnNKampuKTifT0dFSvXh02NjYYO3Ys4uPjMWbMGJiYmGDcuHHi/p48eQJ/f3+EhoZi+fLl4v78/f1BRLh3757e+GVkZKBhw4aws7PDpEmTkJCQgIkTJ8LMzAz9+vUT1wsJCUHjxo0l275+/RoeHh743//+Jy5btGgRFAoFmjVrhq1bt2L16tUICgpC0aJFJb22vL294ebmhtDQUPz222+Ij4+XxFiQnp6OxMREqFQqdOzYUTwH//33XzFdXl5eKFOmDFasWIFdu3YhMjISFhYWkh4rhqZL04sXL+Dp6Yny5ctj1apV2LdvH37//Xc0b94cL168AAA4OTlh1KhR4jatWrWCtbW1pKfL8uXLYWpqKqZbl+HDh4OI8PjxY63PhF4ys2bN0vrs7NmzICLMnDlT7741HT16FCqVCvXq1cO2bduwdu1aFCpUCP7+/pLeN5cuXYKzszMiIiKwevVq7Nq1Cw0bNoSJiQnOnDkjrte6dWvY2NggNDQU8+bNw+7du1GuXDkYGxujW7duqFmzJjZu3Ijly5fD1tYWDRo0kKTHkOsmISEBRITTp0+Ly8qVKwd3d3eEhYVh8eLFiI+PR7169aBQKHD16lW93//Zs2c4dOgQjI2N0aNHDyQmJuLEiRMAgO7du8PMzAxDhw5FQkIC5s6dCzs7OzRr1kzc/vr16yAiuLm5ITo6Gps2bcLGjRv1PlW8fv06nJ2dUb58eaxfvx5bt25F6dKl4e/vD0tLS0nvpf/973+YP38+4uPjERcXh27duoGIcOjQIXGdIUOGwN7eXvw7KysL1tbW4nmYkpIifgd1cXFxICLs2bNHb2yA7OtlzJgx2Lx5M/bv34+5c+fCxcUFHTp0ENc5ceIE6tSpA39/f/G6vHnzptj7bdOmTeLyjIwMvHjxAsWKFUOBAgUwY8YMxMfHiz1fVq5cKe534cKFICJ4eXmhV69e2L17N3bv3g3A8N97zZo1MDIyQsuWLbFz506sX78eoaGh8PPzw6tXr8T1DPmthXunr68vWrZsia1bt2LVqlVwdXVF+fLlc4wjAIwaNQomJib4+++/9a4TEBAguWflZsCAASAirF271uBtcjvO8uXLQURwcnKCUqmEl5cXfvzxR709/9TNmTMHRITr16/jq6++wg8//AAg+7wsUaIE2rRpI/Ym2LVrl7hd8+bN4eDgoHe/3333HYgIr1+/1vrM0dFR656kbufOnSAinDp1Kse0C2WnSZMmSZYL8Vi4cCGA7J6/VlZW4uc7duyAQqHA5cuX0apVKzRs2FD8LDY2FlZWVpJeF+o9xNLS0rB48WKtXr2Cd8nTb9y4gR9++AErVqzAvn37sGnTJlSvXh329vaS39DQa2jjxo0wMjJCTEwMdu/ejSVLlsDd3R0+Pj6oWbNmjmkRruHAwECxTNehQwcQEWJjYxESEoKlS5dix44dCAsLg4ODgyQPNKRcB2TnldbW1nj48CGA7Huoqakp4uLixHU088rU1FSYmJjAy8sL0dHR2Lx5M5YsWQKVSoVq1aqhdOnSGDx4MOLi4hAbGwsiwsaNG8XtY2NjdfYobdiwoSQ/EO5Xvr6+Yj42aNAgEBHat2+PwMBAzJ49G3FxcahcuTJMTU3x4MEDvTE9ePAgiAgDBgzIMfbqHj58CFtbW1SqVAkAMGzYMBCRVl7Uv39/nWWPatWqwdzcXMwz3dzc0KBBA6Snp2v9y82ndH7OnTsXRITg4GAMGjQIcXFxmDx5MpRKJQYNGiSud//+ffj7+yM4OBhLly5FfHw8OnXqBCLCjh07xPWGDBkCpVIJHx8fjBgxAnv27MGBAwcAZJd1PT09UaFCBaxduxbr1q2Dq6srwsLCUL16dcTGxmLXrl0YNWoUiAhTp06VpNWQ8sCECRMkb+gI5/i0adPEdU6dOiXejxMTE7Fy5UpYWlqK19SHqG8AgJ2dHdzd3VG3bl1s27YNq1evhq+vL9zd3cUer0LeqFknaNGiBQoXLmxwr8+ceuLrI5TJLCwsoFKpEBkZib179xq07bp162BiYoIaNWpg+fLl2L17N8aOHSvWu98379HHkHNkwIABMDY2RmhoKH7++Wfs2bNHLEfMnz9fXC8vZVVNGRkZsLCwgK2tLUxNTWFjY4Nq1app3YNjYmJgZ2en9TsmJiaCiLBixQoA2fmVUqnU+v3+/fdfEBHGjh2bY1yKFSuGqKgoreXVqlXDt99+K/49YcIEWFlZITMzExkZGRgwYADMzMzwyy+/iOsYWm/PC331YEPLyt27d4e9vT2mTJmChIQEbNmyBYMHDxbXSU9Ph7m5OVQqFSpXroxNmzZh/fr1CA4Oho2NjXjfBLLvnUqlEp07d8bOnTuxePFiuLm5aeWlvXr1EtfbtGkTNm/ejG7duuH3339HcnKyWO4aOnSomNc8efJEK08S3q7RLOMkJSVBoVBIvme7du1gZmaG/v37Y/fu3Zg5cyZsbGwkbQ/C/n777TcAwM2bN0FEWr21582bBxMTE529Vb8EuTYmrlq1Sm/BFADOnTsHItL7ClNWVhbS09Oxbt06EJGkUFOwYEGtV3jysr2udW1sbCRpCQsLk1RU34XwmuGkSZOgUqnE5b/++iuICPfv3xeXHT58WNJNOi0tDQEBAQgPD8ebN2/E9d68eQMnJydJWosWLQpzc3OcPXs2x/RkZGQgPT0d9evXR+3atcXlzZs3R8GCBSWvqTx58gTGxsaSBiihYJyYmCjZb9euXSXdyFu0aAF3d3c8ffpUXPbs2TOYmZnBw8MjxzROnDgRxsbGOH78uGR5x44dJZW8Zs2aITg4WLLOqFGjYG1tLcb1ypUrMDU1RWxsrGS948ePg4jEwtXjx4/FioZ6xV6fGzdugIiwYcMGyfJXr17ByMgIERERklcStm3bJukqb2i6dFm/fn2uhRF/f3/07dsXAHD37l2YmJhg4MCBktdny5Yti5iYmBy/Z4MGDeDt7a3zM+HVnT/++EPrs2XLluXp1eTU1FT4+vqidu3ayMrKEpcLN4EWLVoAyL6ewsLCULZsWcmN8s2bN7C1tcWPP/4oLitatCgcHBwkryJs3boVRIS6detKjh8TE4OAgAC96dN33UyaNEny+klWVhasrKzg5+cnqbSfP3/eoFcghDxRaKgC3g7psGnTJsm6QqFUaEAW8rmWLVvmeAxB+fLlUbx4cUkcL126BCLSWdgRCBU1W1tb/Pzzz+LyevXqoUqVKlr7Uq/gREVFoUaNGuLfqampCAwMRNOmTQ1Ks0DIV7t164YiRYpIPitdujS+++47ybKhQ4fCzs5Oaz9t27aFvb09/vrrL8nyunXrSr6LUIhWL+AChv/et27dgkqlQs+ePSXb//HHHyAibN68GYDhv/Xq1atBROjVq5dkvZ9++gkuLi5a31NdRkYG3N3dc2z0Sk5OhlKplDzoy8myZcugVCq1GuRzk9txlixZggkTJmD37t2Ii4vD//73PxARWrVqleu+O3fuLP7msbGx4qsmixcvhkqlwp07dzBp0iSt+3BwcDAqV66sd7+NGzeGsbGxJJ8CgNu3b4OIcnylbvv27SAi/PnnnzmmXSg77dixA+np6Xjy5AnWrVsHFxcXBAUFieWBoUOHQqFQiJWpWrVqiflTly5d8PXXXwPIfgBlbW2tdb/5+eefJZXDY8eOgYh0PjDNa56uSSiPCfe4o0ePissNuYYePXoEW1tbrdfohbLUwIEDczy+cA1v27ZNXJacnCw+JFBvtBIaDv755x+d+9JXrgOyK5UqlQq9e/fG/PnzoVQqsWrVKsk6mnnliRMnQERo0qSJZL3GjRuDiLBmzRpxWUZGBoyNjTFmzBhxWfny5VG/fn2tdPr6+qJr167i38L5rl4hBbIfPtrY2EjywX379um9vwt69uwJIsrxIZmmH374AUqlEidPngSQ/ZCFiLBlyxbJerVq1YKbm5t4v7lx4wZ69+4NIsKwYcMAZDesEZHOfwqFQlL+zM3HPj9/+OEHnXEIDw+XnBd169aFr6+v5LtlZWUhKChI8vBAaOxUL0sAb8u65cqVkzS4CrHVHNLGx8cHHTt21JtufeWBZs2aoWzZsuLfwjmur2x77do1FCxYEDVq1BDztw9R3/jrr79ARKhRo4YkT9+xY4fkQdPVq1cljUrA22tEvYyTmyZNmuR6j1aXkpKC9u3bY9WqVTh48CAWLVoEX19fmJmZ4fz58zlue/36dVhYWEjyAE3vm/cYQt85Urt2bZiammrV9ZydnSVlgnctqwLA33//jdjYWKxfvx4HDhzAzJkz4ezsDCcnJ8l9393dXWf5ZdOmTSAixMfHAwAiIyN1DlVy+vRpnWVEdULjleZ9+NChQ1AqlZLfs1mzZqhQoQLu3buHypUrw9PTE0eOHJFsZ2i93VA51YMNLSvb2Njk+Aq/EKeKFStKhsoRrqX169dL/tZ8oCqUkW/dugUAWLFihdZ5qmnv3r0gIiQlJUmW68qTChQooJWHV6tWTZKXLVmyBESEdevWSdabOHEiTE1Nxe8l1F8vXrworuPp6YlOnTqJfz9+/BiOjo5iff1LlGtjYr9+/UBEem/oGzduBBFJClonTpzAt99+i4IFC8LIyEhSMBBO7idPnoCIdI4lYMj2ugg3FPUb+ddffw07OztMmzYNd+7cye3rihISElC7dm14eHhAqVSKaVC/gQgNhwkJCeKycuXKiYV/4G1jTXx8vNYT14iICHHcppSUFBgbG6NLly5aaUlPT8eiRYsQEREBR0dHSWFLuHn8/fffUCgUmDt3rtb2rq6uaN++PYDsBhtra2u0bt1aKz2zZ8+GkZGRuD+lUqn1NBPILtzWq1dPb+yysrLg6emp1RgAvK34CAWN0aNHw9jYWLzBPHz4EDY2NpIeee3bt4e1tTWePHkiSe+rV69ARFi6dCkAID4+PtcMSZ3QoKf5NF34XXfu3ClZLmQ+T548yVO6dBF6A9StWxcJCQk6n8CXKVNGzBD79OmDSpUqIS4uTqxcHz16FETSHnW6+Pj46G0gEJ4G6RqrqHfv3lAoFJLCd06EiqpmZv/3339LbihCLzbNAjIAFClSRGyUEq4J9Z6swNtKulCRETRu3BiRkZHi34ZcNwDQsmVLyZiRQo8izd6a+/fv13lcTcI1r/50LioqCuXKldNaV2hQEm5UgwYNglKpzPUpPPD2HNJ8wpyVlQWlUikp7Dx9+hTDhg1DSEgIrKysJLFQr5R6enpKGreEXlTqBba+ffvC3t5eLLSPHj0aVlZWBuWv69evR6VKleDq6ipJQ5kyZcR1hKeemhWi+vXrazUQ3bp1C0qlEoMHD9bKz/r27SuprJQvXx4hISFaaTL09x44cCAsLS217oUPHjwAEWH27NkADP+t+/fvDxMTE639tW3bFmFhYbrCJxJ++5x6EAqNnL///nuO+wKyxwBSKpVo2LCh5Km+UDkX/mmOsZjX4wjq1q0ryff1iYiIEBsQ582bBycnJ7x69QoeHh4YPHgwgOzr193dXdzm9evXMDIyyvFBZfHixbUeYgFvH1RoNgaomzdvHogo13GihbKT+j8TExM0adJE0pN88uTJICI8e/YMV65ckTQe9O/fXxzfcMaMGVAoFLhy5Yq4rdBDTP26eP36NZRKpc6HqHnN04Hsh2bt2rVDoUKFYGpqKvk+woM1Q6+hkSNHwtzcXKsnvbCeZsFeU/ny5RERESFZJjRGTZ48WbJ85syZUCqVkt6nhpTrBEIvEiMjI509OTXzyvnz54NIexytWrVqaV3PL1++BBFhzpw5AN72ANfs8f306VOtyq1wvqv35MnKyoKlpSW6desm2V44n4W3fnSpVKkSLCws9H6u6eLFizA2NpY8xLx48SKItMeQK1CggNY14OrqikmTJon3D6GyNnPmTBw7dkzyT7MsocundH5GRkbqHI/U19dX/G2EHum6yuq1a9eWVHg9PT1Rp04drfWEsq5mGbVz585wdHTUKk86OTmhf//+4t+Glgf8/f0llfL58+frzT+uXLkCT09P1K1bV7yHfIj6BvC2TKjZoCWMxyf0KgKy60PCvSEtLQ0hISF5foAWEBCA6tWr52kbTUKDt3Af06dDhw5wdXXV2Yte8D55jz6GniNubm6S3nhAdhnO1NRUzJPzUlY1lNAgtWDBAgBv7wPDhw/XWlfoOS10RrKwsEDbtm211hMeQAkPIXQRGq+ENwsElStX1qrz+vv7IyoqCu7u7qhUqZKkHA0YXm/PC3314LyUlQsXLgxPT08sXLgQjx490jqG8IaAeg9VALh37x6ICPPmzQOQ3f7i6+uL1NRUyfGEN+KEBsCAgIBcr/HJkyfD1NRUa8xRXXlStWrVULFiRfFv4R6jnl5/f39UrFhRKxbCw2KhoXP06NFaPWebNm2KYsWKiX936NABnp6en/SYv3LLtTGxZs2aens1AdmDmJqYmIgn3ObNm2FkZIT69evj999/x/79+3Hs2DFUqVJFcrIKJ7z6K4152V4X4emoeqX27t27Ymu8QqFAZGRkrq/izZo1C0SE1q1bY+3atTh06BCOHTuG4OBgSev9ixcvoFAoxB4AwmD46gWg1q1baxWm1P8JvVyE3gTqr2oJvv32W1hZWaFfv37YunUrjhw5gn379kGhUIg9G4UBZjV7uqWkpECpVIoVXeEVGX3/hNd2hMxCc3/p6emwtLQUnyrrIjxtUr+BC2JjYyWvBm3ZsgVEJPbG7Nq1Kzw8PCQ3Tm9v7xzTLPQAmjBhAoyNjQ2+oAcNGgRHR0et5TNmzNDZvbxHjx7w9PTMc7r0Wbp0KUqXLg2FQgFHR0f06NFDkvYaNWqgZcuWePnyJezs7LBlyxYcPXpU7MXSokULScO1Ls+ePcuxwFKxYkWdDSxA9o3AkAGPBa1bt9Y5FIHQ2CBMntCvXz+YmprqfK3BxsZG7JkoXBPqjfXC9s7OzlrbFi5cWNI93ZDrBsh+pV39pi0UTDWf3k2dOhXGxsaSHsa69OrVS3KeCD1d1RvIBZMmTYJCoRCfStapU0fSIJqTIUOGwMLCQqviIAwOvnjxYgDZ50DhwoXh5+eHyZMnY9euXTh69CimTJkiuaFrdufX9V2A7DxaaBS7efMmVCqV5Em1Pj/99BOMjY0RGxuLjRs34o8//sCxY8dgZ2cnmQxDeBVTeIos8PT0lPRaBd7mU/r+lShRAsDbyrp6hUpg6O8dERGh83oTCpebN2/O029dq1Ytna8zFy9ePNeeqePGjQMR6SzoCWbPni2pUOuSmZkp9kzq1q2b1jU5ZMgQSTxr1ar1TsfRJLyWqa/XmJA2S0tLseInPDzp0qULXF1dxVcYQ0NDJT2Njxw5orOwL7hz5w6MjIy0epgCEF8JFAqSunTq1El8dSknNWvWhKenJ44dO4bjx4/j/PnzOiuEwjl869YtdO3aVdJLd+zYsQgMDERWVhYCAwMl3xN42xMqISEBT58+Ff/5+PhIGiUEec3Tjx07BpVKhYoVK2LRokXi0CstW7aU9OY29BqqWLGiztfhf//9dxARbt68qTctwjU8ZMgQyXKhoqDZw6d9+/aSoTUMLdcJFi1aBCLSeY3qyiu7dOmis6xcoEAB/PTTT5JlwoRkQi8VobFLs7It9MZQbyQJCQlB69atJesJZS71HptA9vmc2yuEJUqUyNMEW7Vr1xZ7VAnn26NHj2BqairpnS5U7jt37oxjx47hxIkTuH79ulZvYCEve5eJTT6l81OYaEr9dWYg+/6rUCjEBmGhl6Ouh29FixYVeyYK55iuRp8JEybAxMRE63XOiIgIrYYdoUFNeL3P0PKAUL9Rb8ju0qULChcurJWeixcvws3NDd98842ksv8h6htA9gNOXRMpCmVI9Ym7GjZsKOaNP//8MywsLHL8XTW9evUqTz3+9UlLS4NCocixxygAeHl56Z0sTPA+eY8uhp4jwjWu2ZPv1KlTkjKcoWXVvBA6Dwk9LIVy46+//qq1bkREhNj4IzSmanZSALJ7EupqjFcnNNyqv2K9d+9eGBkZSR7aCNePk5MTVCqVzrKOofX2vNBXDza0rAxkX8+NGzeGpaUljIyMUL16dUkniq5du0oe4ApOnjwJouxevikpKTAxMcnxmKdPn8a1a9dAlHPnGyD7IZqunpq68qRevXqJdfvMzEwUK1ZM0uNbGE4qp39C42SjRo20ygDTp0+HkZERkpOTceTIESgUCqxevTrH9P/X6Z/7/P+dOnWKwsPDdX52/fp1WrZsGbVo0UKcmn3w4MFUtWpV2rRpk7heeno6JSUlUZUqVcRlSUlJZG5uTsHBwZJ9Grq9LklJSeTs7EweHh7iMnd3d1q4cCHNmzePDhw4QD169KD69evT06dPdQ6Em5WVRYMHD6YOHTrQ3LlzxeX379+ny5cvS6Z4t7a2poIFC9L58+cpIyODBgwYQK1atZIMEnv37l2KjIzUO3GDMPirMFC1ZqxPnTpFa9asoeXLl9N3330nLl+7dq1kavp//vmHiIhcXV0l2+/du5eysrLEwUPv3r1LRES7du0iBwcHrfRYWFhI1tPc37Zt2+jVq1dUqlQpnd+HiOjhw4dERFSgQAHJcgCUkJBAVatWFZcJA96eP3+ezM3Nac6cOTR37lwxHcJ369q1K7Vp00bn8YRzKCkpiUJCQgwexDspKUnnxCMnTpyg0NBQMjU11VpffZBgQ9OlT6tWrahVq1Z07949mjNnDg0bNoycnZ1pwIABRERkb29PL1++pPnz55OrqyvVqVOHrly5QgDo8uXLtGbNGr2TCAiEgeWdnJy0Pnv06BElJiZSly5ddG57+vRpqlChQo77V3f37l2t35yIaPXq1aRQKMRYP3z4kFxcXCQTCBARHT16lF68eCFe5/omjtH8HYiIXr58SdeuXaM+ffoQkeHXTUpKCl26dIl++OEHyf7t7OzIz89P67hFihQhc3PzHOOgeV49efKEMjMzdcYmPj6eSpUqJQ56n5SURN9++22O+xfcvXuXnJycyNhYmo0Lg7gL1+iiRYvo2rVrdOvWLclg00uWLCGFQiFOxqAr3idOnNC61suVK0cKhYKOHDlCGzduJG9vb+rRo0eOaX306BFNnjyZRowYIZ7fRETHjx+nZ8+eSY4ppEM9H3306BHduXNH63e/e/cumZmZ0aFDh3QeV4jrX3/9RS9fvqQyZcporWPo7/3w4UMqXLiw1vbx8fFkampKUVFRef6tmzZtKlknLS2NLly4QK1bt9b5fQQ3btwgZ2dn8b6ry6lTp0ilUlFAQIDOz1NSUqhly5a0fv16mjRpEv34449a68TExFC9evXEv11cXPJ8HF3OnTtHLi4uWvcXdVevXqVXr16J50FoaCgplUqaNWsWzZ07l6ysrCg1NZUuXbpE0dHRkvQQ6Z58hSh7Qgsi0pnvnT59mhwcHMjLy0vntgBo+/btVK1aNa38S9OpU6coIiJC7+Q4AuF8uHPnDi1ZsoQmTpwofmZjY0PPnz+nuLg4unz5sqQccenSJbGMoqts9PDhQwJACoVC8v3ykqePGjWKfHx8aM+ePZJ8JikpiUJDQ8UylKHX0N27d7Um8iDKzrMcHR2pYMGCetMiXMOaeUBSUhKpVCoKDAzUWi6sm5dyHVH2IO6dOnWiyMhIOnz4MJ0+fVpyPunKK3Xdl+7du0f37t3TmWYjIyMKCwsjouzfhUh7Qgch7qGhoUT09n7VoUMHrf0RaU9ikJSURMWKFcvxXHV1daXz589TZmam1oRMmuLj48VJbUJCQrQ+V584SkhTjRo1crwGTp06Rfb29jlObKLPp3R+Xr16lZKTk7Xul0lJSZJJTITysWbed+fOHbp8+TJ16tRJ3I6I9N6zQkJCyMzMTFwmTKannheq70c4vqHlAWHyCPXvo6vMfP78eapatSp99dVXtHz5csnv8CHqG0TZ5RRdk3+tWrWKbG1tKTIyUlwWFRVF/fv3p+vXr4vlkZx+V01nzpyhrKwsnXWHvLhw4QIB0JqcSNO///6r87upe5+8R5e8lhl1nfNEb/NHQ8uqeSFMvifETziXNPOwCxcu0JEjR2jy5MlERGRmZkZKpVJrvUePHtHmzZupffv2WunU/G5mZmZUpEgRcdmQIUOoRYsWkjKQcP1s2rSJ2rZtSw0bNqS9e/dK6g+G1tvzQl892NCyMhFRUFAQrVmzhtLS0mjnzp0UGxtLTZs2pStXrojfTb2dRbBq1SpSqVRUoUIFevjwIaWnp9OYMWOoWrVqOo9ZpEgROnLkCBGRQee4+nWsvlzzWixatCg9fvyY7t+/Tzt37qQLFy7QmjVrJLEgyj7PhXurOqVSKU7gc+LECa08NSoqijIzM+nPP/+kPn36UJUqVQyut/1n5dTSKHRZ1XzSBmR3mQ0JCUGBAgUkr+TZ29trje0wcOBAEElfgdD3Kpeh2+tSq1atXLuejxw5UvLEUtPz589BRJg4caJkecuWLUFEWL58uWR5vXr1UKFCBcycORMWFhZaT1dbt26NoKCgXHsx6Jv2XhjrQf3JdHJyMgIDAyVPNISnneq9Q9LS0hAeHi558io8KcxpDB3gbW8T9Z6jKSkpKFasmM4nKepu3bql8wmR8BRGc7wVW1tbDB48GI0bN0axYsW0YuXt7Z3r0zsge5ys3J7gqVN/9URd0aJF8f3332stt7W1lbyGZGi6DJGamgqVSiXpot+5c2dUrFgRPj4+4tNpYYDgVq1aISgoSOspvybhyaFmTwYge/xKY2NjyVgQgrt374JI9ysD+jRt2hQFChSQXFvCeC/qPRZHjBgBU1NTcew4IHscl8qVKyMwMFB8KqjvmnBxcdF6qnjgwAEQkThhkaHXzZ9//ql1PdSsWVPneGthYWFo06ZNrnFwcHCQ9J7JyMiAqampVpqFiSOWLVsG4O1vldsTOkHfvn1hYmIiGSfsyZMncHNzg4WFhfhKas+ePWFjYyM5V86ePQtzc3PJ7zJ+/HjJdllZWbC1tdV5DgQHByMkJAREJJmUQB9hjBX113IzMjJQsWJFEBEOHz4sLu/Zs6fWU3Z9r5jr69GgSeiZoqvHmaG/d5UqVbResbx37x6cnJzE/MLQ31q4t2oO8yE82c1tYPaYmBidPUTUlS1bVmfvNCC710u5cuVgbm5u8LAQ73IcXfbs2QOlUql3nGWBMI6Oek//Dh06ICYmRjxHhZ4n6t+hU6dOMDY21jmYvjDenL58zd/fP8exFnfv3q2zB5km4fc1JP8U3tJo0qQJHBwcJL0Xly1bBpVKhbp162rl97Vr14alpSW2bduGvXv3Sv517NgRRNJx8N4lTy9RooTW2LTCa97qr1Ebeg2VLVtWq3fBH3/8AYVCketEQfqu4SZNmmhdl+np6TAzMxOHSshLue7EiROwtrbGDz/8gNTUVBQsWFCrR6hmXin0StM8p4VXpjRfP2zXrp3kjYBp06aBiCRvQzx+/Bju7u4IDQ0Vlwn3K80yVJ8+fVCgQAGtmPn5+ekcOkfdjBkzdPYuEhw8eBDp6eniWMceHh5ISEjQOufq168PIyMjsaw5duxYEGkPI6MpMDBQ8kpaXnxK5+fKlSt1fl/h9Tzht126dKnOc6JVq1ZwcnISh70YP3683rqKrrKu8Oqg5qvPI0aMgLW1tZh3GFoe0BxLWjjH1cfaO336NJydndGiRQudQ2B8iPoGkF3mcnd3l/Qou337NqysrLSGDhCuoZCQEBQqVMjgSVc006qr3Gyo9PR0VK1aFU5OTuKwSfp4eXlJJhXV9L55jy6GniPjxo3TeY5269ZN0tvZ0LKqoZKTkxESEoLAwEDx2KmpqTAzM5MMb5KVlYUaNWrA09NTMkSaj48PoqOjJfvs2LEjrKyscj3XoqKiJMMi7d69G8bGxlq9noWxeDMzM3H16lU4OjqiSZMmkpgaWm/PC331YEPLyrp8//334lj9whsjLi4ukuvt7t27sLa21poUKLexOYWeieqTOmnKzMyEsbGx1lAmuvIk4O3bQtu2bYO3t7fWa/RCz8TchuYRxp/ULKdnZGTAysoKISEhMDExydNbOf9VOTYmCoPXDh8+HImJiTh48CDWrl2LLl26wNLSEgEBAVpBrFmzJuzs7LB06VJs27YNMTExKFSoEIikExcImdXGjRuRmJgonuCGbq9LgQIFJANgRkZGol+/fli/fj0SEhIwbtw4qFQqrVflNAUFBcHb2xvr1q3Dxo0bUa9ePfj5+Wld9EB2Q6ednR1cXFx0Ds68d+9eKJVKfPPNN9i0aRP27duHlStXokePHpLZgCIiInQOpn/r1i2YmpqicuXK2L17N5YuXYrQ0FD4+vpKxvn5+++/YWZmhvDwcGzZsgWbNm3CV199BUdHR8m7/W/evEFwcDB8fX0xd+5c7Nu3D5s3b8bEiRMlhaqbN2/CzMwMJUuWxJYtW7Bx40ZUqFABFhYWOgutmqpXrw43NzcsXboUCQkJ4s1E1+t/UVFRCAgI0NswIcwG1adPH+zatQtxcXFYvHgxWrRoIXY1F14vzMsslSVKlECpUqWQkJCAxMREvHz5Em/evIGxsbHW2DpChqf+6rIh6dJlyZIlqFmzJubOnYs9e/Zg/fr1qFKlCuzt7SUF0QEDBsDIyAjOzs7iTUUYj9HIyCjXMU8ETZo0gVKpxA8//ICVK1di9uzZqFKlCoi0B8YVCAWR3F7VVidU/ps3b474+HgsWrQIPj4+MDMzk8xie+3aNZibm6Nu3brYtWsXNmzYgMqVK8Pe3l5SmNR1TQgVYs0u5dOmTZO89mPodfPrr79qjRnp6uqK3r17S/YvdNnP6YYHvJ3pS3NSnw4dOsDGxga//PIL9u3bhzFjxsDKykryerXwut65c+dyPIZAmKGuWrVq2LlzJ1auXImiRYvCwsJCUrkWKjmxsbHYs2cPJk+eDD8/P9jb20vGjtQcbF0YrHzr1q1ax27fvj2ISOuVKn1evXoFBwcHFCtWTJxpMSoqCn5+flrxr1SpklZBT2iM7NOnDw4fPixeXw8ePICLiwuKFSuGZcuWYf/+/diwYQNGjRolGc+sX79+cHJy0pk2Q39vYfzIvn37IiEhAQsXLoSfnx9KliwpaRg35LcW7q2av/WCBQskr0Lr06tXL7i5uWktP378ONasWYM1a9ZApVKhUqVK4t9CI9WDBw/g7+8PpVKJCRMmSGbiTExMzHGSs7wcJyMjA+XLl8fUqVOxc+dObN68GT179oSJiQlq166d63iJwj0jp/WEhgP1RrOyZcvCy8tL/D67d+/GtGnTUKZMGXFWVV0PYYSJZHS9/iyoXLkyQkNDc304KPy+wqQ8ORHGzlIqlVqN0MJDEaVSKRmnShh3Vn02VHUbNmwAkXSMt3fJ0//3v//BxMQEs2bNwq5du9CzZ0/xXq2eHkOvIaGBqXv37khISMCMGTPg7u4OhUKh87UzdfquYX9/f3GWb4GQX6gPaWNIue7q1atwcXFBo0aNxN9YqISpT0KomVcKrxlr5pXCeLKa50uJEiUkExDt2rULRNmT5jx58gQHDhxAuXLlYGlpKRny4Ndff4VCoZDkN0D2GFGaDZ7C67XCmGL6pKSkoFy5cjAxMUHPnj2xefNm7N27F3PmzEGNGjXEhxbCTMXqs2GqE16BPHHiBIDsh4s5zagOvH1ltEGDBlr5UGJiotbYhZo+pfOzb9++Os/PVq1aSV4hfPr0KVxcXBAZGYktW7Zg+/btaNSoEczMzCRDezRr1gylS5fWGTNdZV3h/qSZf3/zzTeoUKGC+Leh5YEWLVpIjq85GduVK1fg4OCA8PBwHD58WPK7CUMOfIj6hjCRoq+vL1q0aIH4+HgsXrwYPj4+iIqK0rp/pKWlwcLCQmxsMMSjR4/E+1udOnXECZnWrFmj1ajo4eGBqlWrin9Pnz4dHTp0wKpVq7B3717Mnz8fYWFhsLCwMOhB7MCBA6FQKNC7d2/ExcVh8+bN6Nu3r3gdvm/eo4uh50jTpk11nqMVKlSQNIAaWlbVpX///ujZsyfWrVuHPXv2YObMmfDx8YGjo6PWePH/+9//oFKpMGfOHOzatQvR0dGwtLSUPKwGshtBjYyMMG7cOMTHx+P777+HsbFxrg9WhYmc1B9UREZG6my8a9GiheQeceDAAZiamkqG2jG03g5kj6Hv4+OTY/pyqgcbUlZOTU1FkSJFMGLECGzevBnx8fFiPXT69OkA3k5a5eXlJbne/Pz8tCaabdu2LVQqFUaPHo09e/Zg586dmDt3Lho0aCCOKZ+VlYXy5cuLc1vs3bsXK1euROvWrSWvjTs4OKBmzZo4cOAAEhMTkZaWpnOCSCA7bzcyMkJgYCBsbW0l49cLx6xcuTKcnZ0xdepU7N27F9u2bcPMmTMRHR0tXjNCOUtXnezrr78GEWkNI3Dp0iUYGRnl+rD8vybHxkThxir8U6lU8Pb2RoMGDbBo0SKdT8z+/vtvfP3117CwsIC3tzcGDx4s9khTLxjcuXMHVapUgaWlpaTHhqHbaxJ6AgizdGVmZqJz584oWrQorK2tYWNjg9KlS2PRokW59uY6c+YMypYtC3NzcwQEBGDy5MkYOXKk+JRBnZDpuri4aBXwBFu3bkVUVBTs7OxgaWkJf39/tGnTRrxQMjMzoVKp9Lbgr1mzBn5+fjA3N0fZsmWxfft2VKtWTTKjKpA9lllwcDDMzMwQFhaGJUuWoGTJkujRo4dkvVu3bqF169bw8vKCqakp3NzcUL16da1W+s2bNyMoKAimpqYoXLgwxowZg6pVq2oVWnV59OgR2rRpA1dXV1haWqJcuXJ6B68WZvfUNR4XkF0pnTx5MkJCQqBSqWBnZ4fixYujZ8+eYsVVuFnl9gRU3d69exEaGiqO63D79m1xvC3NmeeEwX7Ve54aki5ddu3ahVq1asHd3R2mpqbw9vZGmzZtcP36dcl6EyZMABFpjRFlbGwMJyenHI+h7s2bNxg5ciQCAwNhZmYGe3t7VK9eXesJtjrh2s/LWDJZWVkYOXIk3N3dYW5ujtKlS2Pt2rWwsLDQGlNv//79iIiIEJ9wtWjRQnIsfdeEMKC85syTMTExWjdfQ66bTp06ITAwUPxbyEc0rwWhwp/bLKhCJf7GjRuS5a9evRLH3LSwsECJEiW0Bl0eO3YsVCpVnp7Szps3D76+vjA1NUVISAjmzZuns3I9YMAAcbbP6OhonD9/Hubm5hg7dqy4TmBgoGSGMiFv0zXWS9++fWFpaZmnca727t2LkJAQmJubIywsDEuXLkWHDh0k8QcAOzs7rd4EwndwcXEBEUkK6+fPn8c333yDAgUKwMzMDF5eXqhfv77k/K5Ro4bOXut5/b1//fVXBAUFwdzcHL6+vujXr5/WpGDv81t37dpV59hPmpYuXQqFQqE1Lk7lypUl92zhn7m5ufgUWfhd9f1TH19KH0OO8+TJEzRs2BDe3t4wMzODpaUlypQpg1mzZhl0jteoUUPrmtbUpUsXSa8bId8Q0mNkZARHR0eUKlUKPXv21OqloU64h+gbv0kY31dzLE9dhPzTkOtDaLQ3NjbWWl+YDdHOzk78rYUeYkFBQXrfsBDGk1K/jt4lT3/y5AkaNWoES0tLFChQAF27dsW2bdsk98i8XEOpqano1q0bnJ2dxbHuhPMxtzGHdF3DwrhUwoDvAmEgffVeP7mV6/7991/4+vriq6++kvRWysjIQFBQkGQsW828UniQpplXNm7cWGum0rS0NJiammLKlCmS5b169YKDgwOsra1Rq1YtJCYmwsLCQtKbslOnTggICNCKjZOTk9bDbOHcMWQSkzdv3mDEiBEoUqQIzMzMYGNjgyJFiqBTp044cOAAXr58iQIFCkjyXU1CD1vhIXlgYGCO6wNvrzl9/3LrAfypn59A9piumm+6nDlzBlWrVoWNjQ0cHBwQHR2t1TASGBio880XfWXd3r1765z12MfHR2syKkPKA0FBQZLjC+e4UA+bOHGi3t+tefPm4nZy1zeEsvn58+fRsGFDsQHyxx9/1Dl+enp6Ojw8PLQeWOZEmHxR1z+h7gq8PdfUO6wsWrQI4eHhsLOzg7GxMTw9PdGqVSuDezampaVh1KhRCAgIgLm5OZydnVGrVi3xXpYfeY8uhpYZNc/RrKws2NjYYOTIkZLlhpZVNf38888oVqwYbGxsYGJiAl9fX3Tu3FnnvfXFixdo1aoVrK2tYWdnh/r162vNyyDEoXv37nBwcICVlRWqVKmid4ZydcJYkMJ4zNu3b4eJiYlWeR/Ivn7U7xHA217J6g94DKm3P3/+HBYWFpIx4XXJrR6cW1n5yZMniImJQVBQEFQqFezt7VG+fHlJPixMtHn27FnUqVMHFhYWcHFxQdeuXbXaQF69eoXBgweL566joyPKlCmjNYb//fv30b59ezGP8PLyQsuWLSXlm9WrV6NQoUIwMjKCmZkZ0tPTtfIkzfgTEcaPH68zFo8ePUJsbKw4q7qLiwsqVqwoNpoCEDug6SqvNm3aFB4eHuLY3QIhTYY8SP4vUQAAsf+kTZs2UcOGDenUqVO5jsvBGGOG+OeffygoKIgGDRokjlHJPqwHDx6Qu7s77dixQ+94NCz/JCcnU2hoKNWtW5dmzpz5sZPDGGPsHcyYMYP69u1LFy5cIB8fn4+dHPYZ6d+/P02aNInu3LlDLi4uVKZMGSpRogTNmTMn346hq94+bdo0mjhxIp09e5bs7Ozy7VjvomfPnrR27Vq6ffv2R03Hx3Tq1CkqXbo0/f7779SkSZOPnZxPQq4TsLDPw8KFCyk5OZmKFClCqamptGfPHpo9ezYNHDiQGxIZY+/typUrdOPGDRo0aBAFBgbqnLCDfRguLi5Ur149Wr16NTcmfgCxsbHk4eFBkyZN+thJYYwxlgeZmZl07NgxOnPmDPXt25fGjBnDDYnMIADo0KFDdPjwYZoyZQr17NlTnIju6NGj77VvQ+rtAGjWrFk0f/78j96QSJQ9+cq7TJjzX3D27Fm6fv069erVi+rWrcsNiWq4MfE/4vnz5zRjxgz6559/yMjIiIoVK0YLFy6k5s2bf+ykMcb+A5o1a0YXL16k8uXL0+LFi3Oc8Y7Jb9SoUeLMqkw+9+/fJx8fH5o4caJk9lTGGGOfvvPnz1NkZCQ5OTlRr169qEePHh87SewzcfXqVapWrRoVLlyYJkyYQF26dMm3fRtSb1coFOIsyh8bADp16hT17t37Yyflo6hUqRKlpqZSrVq1aMGCBR87OZ8Ufs2ZMcYYY4wxxhhjjDFmEOXHTgBjjDHGGGOMMcYYY+zzwI2JjDHGGGOMMcYYY4wxg3BjImOMMcYYY4wxxhhjzCDcmMgYY4wxxhhjjDHGGDMINyYyxhhjjDHGGGOMMcYMwo2JjDHGGGOMMcYYY4wxg/wfI7jlN6SZLXUAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1296x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "str_year = fcst_vars_all['DateTime'].dt.strftime('%Y')[0]\n",
    "\n",
    "# Graph up the PWAT and CAPE Anlysis\n",
    "fig, ax = plt.subplots(facecolor='white')\n",
    "\n",
    "anl_vars_all.plot(x=\"Month/Day\", y=[\"PWAT_norm\", 'CAPE_norm'],ax=ax,  ylabel='PWAT (cm)',\n",
    "                ylim =(-1.5,1.5), fontsize=16, secondary_y='CAPE_norm',figsize=(18, 6), kind=\"bar\", color=['dodgerblue', 'red'])\n",
    "\n",
    "plt.ylabel(\"CAPE (J/kg)\", fontsize=16)\n",
    "plt.xlabel(\"Month/Day\", fontsize=16)\n",
    "\n",
    "plt.title(\"HRRR Analysis of SW Utah - Daily PWAT and CAPE for %s\" \n",
    "          %(str_year), fontsize=25)\n",
    "plt.grid( color ='grey', axis='y', linewidth = 0.5)\n",
    "plt.figtext(0,-.08,'Data is averaged over the sw UT domain for daily afternoon (12-15 MDT) PWAT and maximum CAPE and normalized by 1.5 cm and 500 J/kg, respectively.', fontsize=16, style='italic')\n",
    "plt.ylim(-1500,1500)\n",
    "ax.set_xticklabels(ax.get_xticklabels(), rotation=40,ha='right',va='top')\n",
    "#a = [l.set_visible(False) for (i,l) in enumerate(ax.xaxis.get_ticklabels()) if i % 4 != 0]\n",
    "\n",
    "plot_file = '/uufs/chpc.utah.edu/common/home/u1269218/public_html/monsoon_SW_Utah/figs/%s_hrrr_anl_monsoon_index.png'\n",
    "plt.tight_layout()\n",
    "plt.savefig(plot_file, facecolor=fig.get_facecolor())\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1296x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Graph up the PWAT and CAPE Anlysis\n",
    "fig, ax = plt.subplots(facecolor='white')\n",
    "\n",
    "fcst_vars_all.plot(x=\"Month/Day\", y=[\"PWAT_norm\", 'CAPE_norm'],ax=ax,  ylabel='PWAT (cm)',\n",
    "                ylim =(-1.5,1.5), fontsize=16, secondary_y='CAPE_norm',figsize=(18, 6), kind=\"bar\", color=['dodgerblue', 'red'])\n",
    "\n",
    "plt.ylabel(\"CAPE (J/kg)\", fontsize=16)\n",
    "plt.xlabel(\"Month/Day\", fontsize=16)\n",
    "\n",
    "plt.title(\"HRRR Time Lagged Ensemble Forecast for SW Utah -\\nDaily PWAT and CAPE for %s\" \n",
    "          %(str_year), fontsize=25)\n",
    "plt.grid( color ='grey', axis='y', linewidth = 0.5)\n",
    "plt.figtext(0,-.08,'Data is averaged over the sw UT domain for daily afternoon (12-15 MDT) PWAT and maximum CAPE and normalized by 1.5 cm and 500 J/kg, respectively.\\nTime lagged ensemble forecast is from HRRR initilization hours 21-23 MDT', fontsize=16, style='italic')\n",
    "plt.ylim(-1250,1250)\n",
    "ax.set_xticklabels(ax.get_xticklabels(), rotation=40,ha='right',va='top')\n",
    "#a = [l.set_visible(False) for (i,l) in enumerate(ax.xaxis.get_ticklabels()) if i % 4 != 0]\n",
    "\n",
    "plot_file = '/uufs/chpc.utah.edu/common/home/u1269218/public_html/monsoon_SW_Utah/figs/%s_hrrr_fcst_monsoon_index.png'\n",
    "plt.tight_layout()\n",
    "plt.savefig(plot_file, facecolor=fig.get_facecolor())\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "dataScience",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}