shems_cost_results.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "from datetime import datetime, timedelta"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Daily Cost Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\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>From</th>\n",
       "      <th>To</th>\n",
       "      <th>Cost_HP</th>\n",
       "      <th>Cost_Gas_Boiler</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023-01-25 00:00:00</td>\n",
       "      <td>2023-01-25 23:30:00</td>\n",
       "      <td>1364.718243</td>\n",
       "      <td>1565.655514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023-04-25 00:00:00</td>\n",
       "      <td>2023-04-25 23:30:00</td>\n",
       "      <td>487.544376</td>\n",
       "      <td>645.656669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023-07-25 00:00:00</td>\n",
       "      <td>2023-07-25 23:30:00</td>\n",
       "      <td>596.141547</td>\n",
       "      <td>612.022897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023-10-25 00:00:00</td>\n",
       "      <td>2023-10-25 23:30:00</td>\n",
       "      <td>1071.078351</td>\n",
       "      <td>978.095782</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  From                   To      Cost_HP  Cost_Gas_Boiler\n",
       "0  2023-01-25 00:00:00  2023-01-25 23:30:00  1364.718243      1565.655514\n",
       "1  2023-04-25 00:00:00  2023-04-25 23:30:00   487.544376       645.656669\n",
       "2  2023-07-25 00:00:00  2023-07-25 23:30:00   596.141547       612.022897\n",
       "3  2023-10-25 00:00:00  2023-10-25 23:30:00  1071.078351       978.095782"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cost_daily = pd.read_csv('cost_results_daily.csv')\n",
    "cost_daily.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>To</th>\n",
       "      <th>Cost_HP</th>\n",
       "      <th>Cost_Gas_Boiler</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>From</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-01-25 00:00:00</th>\n",
       "      <td>2023-01-25 23:30:00</td>\n",
       "      <td>1364.718243</td>\n",
       "      <td>1565.655514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-04-25 00:00:00</th>\n",
       "      <td>2023-04-25 23:30:00</td>\n",
       "      <td>487.544376</td>\n",
       "      <td>645.656669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-07-25 00:00:00</th>\n",
       "      <td>2023-07-25 23:30:00</td>\n",
       "      <td>596.141547</td>\n",
       "      <td>612.022897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-10-25 00:00:00</th>\n",
       "      <td>2023-10-25 23:30:00</td>\n",
       "      <td>1071.078351</td>\n",
       "      <td>978.095782</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      To      Cost_HP  Cost_Gas_Boiler\n",
       "From                                                                  \n",
       "2023-01-25 00:00:00  2023-01-25 23:30:00  1364.718243      1565.655514\n",
       "2023-04-25 00:00:00  2023-04-25 23:30:00   487.544376       645.656669\n",
       "2023-07-25 00:00:00  2023-07-25 23:30:00   596.141547       612.022897\n",
       "2023-10-25 00:00:00  2023-10-25 23:30:00  1071.078351       978.095782"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cost_daily.set_index('From', inplace=True)\n",
    "cost_daily.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax1 = plt.subplots()\n",
    "lineStyle = [\"-\", \"-.\", \"--\", \":\"]    \n",
    "patterns = [ \"/\" , \"\\\\\", \"*\" , \"+\" , \"-\", \"o\", \"O\", \"x\", \"*\", \"|\"]\n",
    "\n",
    "time_range = cost_daily.index\n",
    "\n",
    "ax1.plot(time_range, np.array(cost_daily[\"Cost_HP\"]), label=\"Cost HP\", color=\"#1B4F72\", linestyle=lineStyle[0], linewidth=3)\n",
    "\n",
    "ax1.plot(time_range, np.array(cost_daily[\"Cost_Gas_Boiler\"]), label=\"Cost Gas Boiler\", color=\"#B8860B\", linestyle=lineStyle[0], linewidth=3)\n",
    "\n",
    "\n",
    "plt.xticks(rotation=45)  # Rotate labels to avoid overlap\n",
    "\n",
    "ax1.set_xlabel(\"Time (h)\")\n",
    "ax1.set_ylabel(\"Cost (p)\")\n",
    "\n",
    "\n",
    "# Collect handles and labels\n",
    "handles1, labels1 = ax1.get_legend_handles_labels()\n",
    "\n",
    "# Create a single legend\n",
    "ax1.legend(handles1, labels1, loc='lower center', bbox_to_anchor=(0.5, 1.05), ncol=2)\n",
    "\n",
    "plt.savefig(f\"./figures/cost_results_daily.pdf\", bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "From\n",
       "2023-01-25 00:00:00    200.937271\n",
       "2023-04-25 00:00:00    158.112294\n",
       "2023-07-25 00:00:00     15.881350\n",
       "2023-10-25 00:00:00    -92.982569\n",
       "dtype: float64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cost_daily[\"Cost_Gas_Boiler\"] - cost_daily[\"Cost_HP\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Monthly Cost Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>From</th>\n",
       "      <th>To</th>\n",
       "      <th>Cost_HP</th>\n",
       "      <th>Cost_Gas_Boiler</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023-01-01 00:00:00</td>\n",
       "      <td>2023-01-31 23:30:00</td>\n",
       "      <td>39174.823962</td>\n",
       "      <td>50426.580880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023-02-01 00:00:00</td>\n",
       "      <td>2023-02-28 23:30:00</td>\n",
       "      <td>33877.919933</td>\n",
       "      <td>41666.330091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023-03-01 00:00:00</td>\n",
       "      <td>2023-03-31 23:30:00</td>\n",
       "      <td>31988.647398</td>\n",
       "      <td>41977.023774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023-04-01 00:00:00</td>\n",
       "      <td>2023-04-30 23:30:00</td>\n",
       "      <td>24104.925694</td>\n",
       "      <td>28111.226040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023-05-01 00:00:00</td>\n",
       "      <td>2023-05-31 23:30:00</td>\n",
       "      <td>19578.840053</td>\n",
       "      <td>24815.238754</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  From                   To       Cost_HP  Cost_Gas_Boiler\n",
       "0  2023-01-01 00:00:00  2023-01-31 23:30:00  39174.823962     50426.580880\n",
       "1  2023-02-01 00:00:00  2023-02-28 23:30:00  33877.919933     41666.330091\n",
       "2  2023-03-01 00:00:00  2023-03-31 23:30:00  31988.647398     41977.023774\n",
       "3  2023-04-01 00:00:00  2023-04-30 23:30:00  24104.925694     28111.226040\n",
       "4  2023-05-01 00:00:00  2023-05-31 23:30:00  19578.840053     24815.238754"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cost_monthly = pd.read_csv('cost_results_monthly.csv')\n",
    "cost_monthly.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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>To</th>\n",
       "      <th>Cost_HP</th>\n",
       "      <th>Cost_Gas_Boiler</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>From</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-01-01 00:00:00</th>\n",
       "      <td>2023-01-31 23:30:00</td>\n",
       "      <td>39174.823962</td>\n",
       "      <td>50426.580880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-02-01 00:00:00</th>\n",
       "      <td>2023-02-28 23:30:00</td>\n",
       "      <td>33877.919933</td>\n",
       "      <td>41666.330091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-03-01 00:00:00</th>\n",
       "      <td>2023-03-31 23:30:00</td>\n",
       "      <td>31988.647398</td>\n",
       "      <td>41977.023774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-04-01 00:00:00</th>\n",
       "      <td>2023-04-30 23:30:00</td>\n",
       "      <td>24104.925694</td>\n",
       "      <td>28111.226040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-05-01 00:00:00</th>\n",
       "      <td>2023-05-31 23:30:00</td>\n",
       "      <td>19578.840053</td>\n",
       "      <td>24815.238754</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      To       Cost_HP  Cost_Gas_Boiler\n",
       "From                                                                   \n",
       "2023-01-01 00:00:00  2023-01-31 23:30:00  39174.823962     50426.580880\n",
       "2023-02-01 00:00:00  2023-02-28 23:30:00  33877.919933     41666.330091\n",
       "2023-03-01 00:00:00  2023-03-31 23:30:00  31988.647398     41977.023774\n",
       "2023-04-01 00:00:00  2023-04-30 23:30:00  24104.925694     28111.226040\n",
       "2023-05-01 00:00:00  2023-05-31 23:30:00  19578.840053     24815.238754"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cost_monthly.set_index('From', inplace=True)\n",
    "cost_monthly.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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YrtPp0K9fP2RlZSE4OBiBgYHYtm0bpk2bVj4/hCeo7TdV9Dw3/TbiL/0uUTZERERUIQgS+vLLL4UWLVoUuU2v1wseHh7Cd999Z4jl5uYKarVaWL58uSAIgpCWliZYWloKgYGBhjZ37twR5HK5EBQUJAiCIERGRgoAhJCQEEObU6dOCQCEy5cvC4IgCHv37hXkcrlw584dQ5tff/1VUKlUgkajKfb70Wg0AoASvaY4Qjb0FIJm2xoeJ1a0FvR6nUmPQUREVFWV1fm7LEneA3ft2jV4eXmhdu3aGDFiBG7efHDPV3R0NBISEuDv729oq1Kp0LVrV5w8eRIAEBYWhvz8fFEbLy8v+Pr6GtqcOnUKarUaHTp0MLTp2LEj1Gq1qI2vry+8vLwMbXr37g2tVouwsLDH5q7VapGeni56lIU6fuKewKzkK0i6trdMjkVEREQVn6QFXIcOHbBhwwbs378fq1atQkJCAjp16oTk5GQkJCQAANzd3UWvcXd3N2xLSEiAUqmEk5PTE9u4ubkZHdvNzU3UpvBxnJycoFQqDW2KMmfOHMN9dWq1Gt7e3iX8CRSPS93esHNtIordPPUDBEEok+MRERFRxSZpAde3b1+8/PLLaNasGXr27Ik9e/YAANavX29oI5PJRK8RBMEoVljhNkW1L02bwmbMmAGNRmN4xMXFPTGv0pLJZKjdUdwLp7l7BqlxwWVyPCIiIqrYJL+E+ihbW1s0a9YM165dM4xGLdwDlpiYaOgt8/DwQF5eHlJTU5/Y5t69e0bHSkpKErUpfJzU1FTk5+cb9cw9SqVSwcHBQfQoKx5NXoa12kcUiz61oMyOR0RERBVXhSrgtFotoqKi4Onpidq1a8PDwwMHDx40bM/Ly8Px48fRqVMnAECbNm1gaWkpahMfH4+IiAhDGz8/P2g0GoSGhhranD59GhqNRtQmIiIC8fHxhjYHDhyASqVCmzZtyvQ9F5dcboFaHSaLYvdvHkT6vYuPeQURERFVVpIWcNOnT8fx48cRHR2N06dP45VXXkF6ejrGjBkDmUyGKVOmYPbs2di+fTsiIiIwduxY2NjYYOTIkQAAtVqNcePGYdq0aTh8+DDOnz+P0aNHGy7JAkDjxo3Rp08fjB8/HiEhIQgJCcH48ePRv39/NGzYEADg7++PJk2aICAgAOfPn8fhw4cxffp0jB8/vkx71UqqevMAKG1cRLHoEPbCERERVTWSFnC3b9/Gq6++ioYNG+Kll16CUqlESEgIfHweXCr86KOPMGXKFEyYMAFt27bFnTt3cODAAdjb2xv2sXDhQgwePBjDhg1D586dYWNjg127dkGhUBjabN68Gc2aNYO/vz/8/f3RvHlzbNy40bBdoVBgz549sLKyQufOnTFs2DAMHjwY8+dXrLVHFZY2qNl2giiWELUN2anREmVEREREUpAJHMpoMunp6VCr1dBoNGXWc5efk4rjPzeGLi/TEPNu9Saa9PmxTI5HRERU2ZXH+dvUKtQ9cPR0ltZO8G75hih259+N0GYZD9QgIiKiyokFnBnyaT8RMrml4blep8WtM8skzIiIiIjKEws4M2Rl7wWvZiNFsbhzK5Gfq5EoIyIiIipPLODMVO0O7wN4OMlwgTYdt8N/kS4hIiIiKjcs4MyUbbUGcG84UBSLCV0CXUGuRBkRERFReWEBZ8Zqd5wqep6XdQ93L26RKBsiIiIqLyzgzJjaqw2ca70gisWcXgRBr5MmISIiIioXLODMXJ1Ci9xnp97AvSt/SZQNERERlQcWcGbOudYLcPBoJYpFhywA52cmIiKqvFjAmTmZTIbaHT8QxdITwpEcc1SijIiIiKissYCrBNwbDoKNU11RLPrUDxJlQ0RERGWNBVwlIJMrUKvjFFEs5dZxpN09K01CREREVKZYwFUS1X1HQmXnIYpFhyyQKBsiIiIqSyzgKgm5hQo+7SaKYolXdiEz+YpEGREREVFZYQFXiXi3egMWKvUjEQExIYsky4eIiIjKBgu4SsRC5YCabcaLYncjfkVu+h2JMiIiIqKywAKukqnZ9l3ILawMzwV9Pm6dWSphRkRERGRqLOAqGZWtO6o3DxDF4sJ/QV5OikQZERERkamxgKuEanV4HzKZwvBcl5eJuHOrJMyIiIiITIkFXCVk41gLHo1fFsVunfkZuvxsiTIiIiIiU2IBV0nVKrS8Vn5OMm5f2CBRNkRERGRKLOAqKQf3ZnCp4y+KxYT+BL0uX6KMiIiIyFRYwFVitf2mip7namKRELVNomyIiIjIVFjAVWJO3p3hWL2DKBZ96gcIgl6ijIiIiMgUWMBVYjKZzKgXLvN+FJKu75coIyIiIjIFFnCVnGu9vrB1aSSKcZF7IiIi88YCrpKTyeSo3VHcC5d2+xRS405KlBERERE9KxZwVYBnk6GwcqghikWHLJQoGyIiInpWLOCqALnCErXaTxbFkq7vQ0ZihEQZERER0bNgAVdFVG8xBpbWzqJYdMiP0iRDREREz4QFXBVhobRFzbbvimIJkb8jJ+2WRBkRERFRabGAq0Jqtn4LCksbw3NB0CEm9CcJMyIiIqLSYAFXhShtqqFGy9dFsdsX1kOblShRRkRERFQaLOCqGJ/2kyCTWxie6wtyEXt2uYQZERERUUmxgKtirB1qwLPpCFEs9txKFGgzJMqIiIiISooFXBVUu+MU0fOC3DTcDl8rTTJERERUYizgqiA7l0Zwa9BfFIsJXQx9gVaijIiIiKgkWMBVUYWX19JmxuPupa0SZUNEREQlwQKuinKs3h5ONZ8TxWJCFkLQ6yTKiIiIiIqrwhRwc+bMgUwmw5QpUwyxsWPHQiaTiR4dO3YUvU6r1WLSpElwcXGBra0tBg4ciNu3b4vapKamIiAgAGq1Gmq1GgEBAUhLSxO1iY2NxYABA2BrawsXFxdMnjwZeXl5ZfV2K4Q6ftNEz7NSriHx2m6JsiEiIqLiqhAF3JkzZ7By5Uo0b97caFufPn0QHx9veOzdu1e0fcqUKdi+fTsCAwMRHByMzMxM9O/fHzrdw56kkSNHIjw8HEFBQQgKCkJ4eDgCAgIM23U6Hfr164esrCwEBwcjMDAQ27Ztw7Rp4gKnsqlWuwfs3cU/85unFkAQBIkyIiIiouKQvIDLzMzEqFGjsGrVKjg5ORltV6lU8PDwMDycnR+u56nRaLBmzRr88MMP6NmzJ1q1aoVNmzbh4sWLOHToEAAgKioKQUFBWL16Nfz8/ODn54dVq1Zh9+7duHLlCgDgwIEDiIyMxKZNm9CqVSv07NkTP/zwA1atWoX09PTy+UFIQCaTGd0Llx4fhpRbxyXKiIiIiIpD8gLuvffeQ79+/dCzZ88itx87dgxubm5o0KABxo8fj8TEh6sGhIWFIT8/H/7+/oaYl5cXfH19cfLkSQDAqVOnoFar0aFDB0Objh07Qq1Wi9r4+vrCy8vL0KZ3797QarUICwt7bO5arRbp6emih7lxbzQY1o61RbHoUwskyoaIiIiKQ9ICLjAwEOfOncOcOXOK3N63b19s3rwZR44cwQ8//IAzZ86ge/fu0GofTHeRkJAApVJp1HPn7u6OhIQEQxs3Nzejfbu5uYnauLu7i7Y7OTlBqVQa2hRlzpw5hvvq1Go1vL29i//mKwi53AK1O7wviiXHHIEm/rxEGREREdHTSFbAxcXF4f3338emTZtgZWVVZJvhw4ejX79+8PX1xYABA7Bv3z5cvXoVe/bseeK+BUGATCYzPH/0/5+lTWEzZsyARqMxPOLi4p6YV0Xl1Xw0lLbiIjc6hL1wREREFZVkBVxYWBgSExPRpk0bWFhYwMLCAsePH8dPP/0ECwsL0SCE/3h6esLHxwfXrl0DAHh4eCAvLw+pqamidomJiYYeNQ8PD9y7d89oX0lJSaI2hXvaUlNTkZ+fb9Qz9yiVSgUHBwfRwxwpLKzg0+49Ueze5R3ISrkuUUZERET0JJIVcD169MDFixcRHh5ueLRt2xajRo1CeHg4FAqF0WuSk5MRFxcHT09PAECbNm1gaWmJgwcPGtrEx8cjIiICnTp1AgD4+flBo9EgNDTU0Ob06dPQaDSiNhEREYiPjze0OXDgAFQqFdq0aVMm77+i8W71JixUjxagAmJOL5IsHyIiIno8mVCB5ox44YUX0LJlS/z444/IzMzErFmz8PLLL8PT0xMxMTH49NNPERsbi6ioKNjb2wMA3n33XezevRvr1q2Ds7Mzpk+fjuTkZISFhRmKwL59++Lu3btYsWIFAOCtt96Cj48Pdu3aBeDBNCItW7aEu7s75s2bh5SUFIwdOxaDBw/G4sWLi51/eno61Go1NBqNWfbGXT36hejSqUyhRNcJkVDZeUiYFRERUdkyx/O35KNQH0ehUODixYsYNGgQGjRogDFjxqBBgwY4deqUoXgDgIULF2Lw4MEYNmwYOnfuDBsbG+zatUvUg7d582Y0a9YM/v7+8Pf3R/PmzbFx40bRsfbs2QMrKyt07twZw4YNw+DBgzF//vxyfc9S82k3AXKFyvBc0OUh5sxSCTMiIiKiolSoHjhzZ44VfGGXgibj9vlfDM8VSnt0fS8KllaO0iVFRERUhszx/F1he+BIGrXavw/IHn4sdHkZiDu3WsKMiIiIqDAWcCRi61wXHo2GiGK3ziyFLj9HooyIiIioMBZwZKTw8lp52Um4c3GTRNkQERFRYSzgyIiDRwtUq91DFIs5vQh6fYFEGREREdGjWMBRkWr7iXvhctJicC/qT4myISIiokexgKMiOdd8HmrPtqJYdMhCcNAyERGR9FjAUZFkMplRL1xG4kXcv3lIooyIiIjoPyzg6LHcGvSHrXN9USw65AeJsiEiIqL/sICjx5LJ5Ea9cKmxwUi7fVqijIiIiAhgAUdP4dl0OFT2XqJYdMhCibIhIiIigAUcPYVcoUSt9pNFscRru5F5P0qijIiIiIgFHD1VjZZjYWHlJIpFh/woTTJERETEAo6ezkJpB582b4ti8Ze2IkcTJ1FGREREVRsLOCqWmm3fgdzC2vBc0BcgJnSxhBkRERFVXSzgqFiUNi6o0WKMKHbnwjrkZd+XKCMiIqKqiwUcFVutDpMhkykMz3X52YgNWyFhRkRERFUTCzgqNmt1TXg2HSaKxZ5dgYK8LIkyIiIiqppYwFGJ1Oo4RfQ8PzcFdy6skyQXIiKiqooFHJWIvWtTuNZ7URSLCV0MvS5PooyIiIiqHhZwVGKFl9fKTb+N+Eu/S5QNERFR1cMCjkrMqUZHOHl3EsWiQxZAEPQSZVQ8gqCHIAhSp0FERPTMLKROgMxT7Y7TkBp30vA8K/kKkq7thVuD/uVyfL2+APk5Kf//SEZeTgrys///v4Vihv/PTYXCwgp1On2IOp0+LJc8iYiIygILOCoVl7r+sHNtisykS4bYzVM/wLV+P8hkshLtS1+g/f/CKxl5OckPCrCiirGcFORlJyM/NwUFuWmlyluXn41rx7+Ca/0XYe/atFT7ICIikhoLOCoVmUyG2n7TcHHnG4aY5u4ZJEcfhm21hg+KrZwHvV+GwssQSxH9vy4vs9zzT7yyiwUcERGZLZnAm4JMJj09HWq1GhqNBg4ODlKnU+b0+gIEL2+BHM0tqVMpMbVXO3Qcc1TqNIiIqAIwx/M3e+Co1ORyC9TqMBlRB6ZJmodCaQ+ltTMsrZ1haV3twf/bVIOltfP/x6tBm5mAK4c/MbxGc/cstFn3oLJ1lzBzIiKi0mEBR8+kevMA3AieY7I1US2snAzFmNL6QRFmaVOtyAJNaV0NllZOkFuonrpffYEW109888jlWgH3bxxE9eajTZI3ERFReWIBR89EYWkD334rcH7bCAj6/IcbZPJCRZdxMVY4ZmHlBLm8bD6ScgsVqtXujsQrOw2xpOv7WMAREZFZYgFHz8y1Xm90nxKLrJRrsFCp/78YU0Mmq1jTDLrW7SMq4O5HH4Felwe5QilhVkRERCVXsc6wZLYsVPZQe7aGrXNdWFo7VbjiDQBc6/YWPdflZSA17h+JsiEiIiq9ineWJSojKjt3OHi2EcWSrgdJlA0REVHpsYCjKsW1Xh/RcxZwRERkjljAUZXiWldcwGWn3kBW8jWJsiEiIiodFnBUpTh4tIDKzkMUS7rBXjgiIjIvLOCoSpHJ5HCpW/gy6j6JsiEiIiodFnBU5bgVug8uNe4k8nM1EmVDRERUcizgqMpxrvUCZI/M/SboC5AcfVjCjIiIiEqGBRxVORZKOzjXfF4U42hUIiIyJyzgqEoymk7kxn4Iep1E2RAREZVMhSng5syZA5lMhilTphhigiBg1qxZ8PLygrW1NV544QVcunRJ9DqtVotJkybBxcUFtra2GDhwIG7fvi1qk5qaioCAAKjVaqjVagQEBCAtLU3UJjY2FgMGDICtrS1cXFwwefJk5OXlldXbJYkVLuDyc5KhuXtWomyIiIhKpkIUcGfOnMHKlSvRvHlzUfz777/HggULsGTJEpw5cwYeHh7o1asXMjIyDG2mTJmC7du3IzAwEMHBwcjMzET//v2h0z3sTRk5ciTCw8MRFBSEoKAghIeHIyAgwLBdp9OhX79+yMrKQnBwMAIDA7Ft2zZMmzat7N88ScLGsRZsXRqJYpxOhIiIzIYgsYyMDKF+/frCwYMHha5duwrvv/++IAiCoNfrBQ8PD+G7774ztM3NzRXUarWwfPlyQRAEIS0tTbC0tBQCAwMNbe7cuSPI5XIhKChIEARBiIyMFAAIISEhhjanTp0SAAiXL18WBEEQ9u7dK8jlcuHOnTuGNr/++qugUqkEjUZT7Pei0WgEACV6DUnn8pHPhKDZtobHP6s7Sp0SERFJwBzP35L3wL333nvo168fevbsKYpHR0cjISEB/v7+hphKpULXrl1x8uRJAEBYWBjy8/NFbby8vODr62toc+rUKajVanTo0MHQpmPHjlCr1aI2vr6+8PLyMrTp3bs3tFotwsLCHpu7VqtFenq66EHmo/B0IhmJF5GTfvsxrYmIiCoOSQu4wMBAnDt3DnPmzDHalpCQAABwd3cXxd3d3Q3bEhISoFQq4eTk9MQ2bm5uRvt3c3MTtSl8HCcnJyiVSkObosyZM8dwX51arYa3t/fT3jJVIOrqHWBhJf7s3OdoVCIiMgOSFXBxcXF4//33sWnTJlhZWT22nUwmEz0XBMEoVljhNkW1L02bwmbMmAGNRmN4xMXFPTEvqljkcgu41BH3/Cbd2C9RNkRERMUnWQEXFhaGxMREtGnTBhYWFrCwsMDx48fx008/wcLCwtAjVrgHLDEx0bDNw8MDeXl5SE1NfWKbe/fuGR0/KSlJ1KbwcVJTU5Gfn2/UM/colUoFBwcH0YPMi2u9vqLnyTFHocvPligbIiKi4pGsgOvRowcuXryI8PBww6Nt27YYNWoUwsPDUadOHXh4eODgwYOG1+Tl5eH48ePo1KkTAKBNmzawtLQUtYmPj0dERIShjZ+fHzQaDUJDQw1tTp8+DY1GI2oTERGB+Ph4Q5sDBw5ApVKhTZs2ZfpzIGm51OkJyB7+M9AX5CLl1t8SZkRERPR0FlId2N7eHr6+vqKYra0tqlWrZohPmTIFs2fPRv369VG/fn3Mnj0bNjY2GDlyJABArVZj3LhxmDZtGqpVqwZnZ2dMnz4dzZo1MwyKaNy4Mfr06YPx48djxYoVAIC33noL/fv3R8OGDQEA/v7+aNKkCQICAjBv3jykpKRg+vTpGD9+PHvVKjmltTOcanREatxJQyzp+j6jeeKIiIgqEslHoT7JRx99hClTpmDChAlo27Yt7ty5gwMHDsDe3t7QZuHChRg8eDCGDRuGzp07w8bGBrt27YJCoTC02bx5M5o1awZ/f3/4+/ujefPm2Lhxo2G7QqHAnj17YGVlhc6dO2PYsGEYPHgw5s+fX67v93Fi7yVj8sItyM7VSp1KpVT4MmrSjf0QBEGibIiIiJ5OJvBMZTLp6elQq9XQaDQm67k7EhaFSQs3Q5OZg5e6tsGiKa8+dRAHlUxmUiT+Wd1eFOs0LgT2br6PeQUREVUmZXH+LmsVugeuqtu0/xTGfLMGmswcAMCfx8OwMeiUxFlVPrYujWGt9hHFkq7vkygbIiKip2MBV4F1alYPdtYqUezLNTtw7uotiTKqnGQymfHi9pwPjoiIKjAWcBVYHS9XLJw8QhTLL9Dh7bnrkazJlCiryqnwfXBpd0KRl31fomyIiIiejAVcBdenYzO8O6SbKBafrMGkBZuh0+klyqrycarZBQpLm0ciAu7fOPjY9kRERFJiAWcGPh7dF36+dUWxvy9cxYJArhpgKgoLK1Sr1V0US7rB++CIiKhiYgFnBiwUCvw8PQDuTuKRMYt+P4TDZyMlyqryKXwf3P2bh6DX5UuUDRER0eOxgDMTro72WP7Ra7BQiH9lkxduQey9ZImyqlxc6vYWPS/QpiPtNkf9EhFRxcMCzoy0a1wbn40ZIIppsnLw1tz1yM1jT9GzsrL3hINHS1GMo1GJiKgiYgFnZsYNeA4DOrcQxSJu3sFnK/+UKKPKxbVu4elEeB8cERFVPCzgzIxMJsO8icNQr4abKB54KBS/HjwtUVaVR+HpRLJSriEr5bpE2RARERWNBZwZsrO2wqqPx8LGSimKf7byT0TcvC1RVpWDg2crKG3FxXHSdY72JSKiioUFnJmq7+2O+ROHiWLa/AK8NXc90jKzJcrK/MlkcrgWGsxw/wbvgyMiooqFBZwZG9ilFcb1f04Ui72Xgvd/3AK9npP8llbh6URSYoNRoE2XKBsiIiJjLODM3Mwx/dG2US1R7PDZKCzZdkSahCqBarW6Qya3NDwX9Pm4H82fJxERVRws4Myc0tICyz58DS5qO1F83pYg/B1+RaKszJuFyh7ONcU9m5xOhIiIKhIWcJWAZzU1lk4PgFwuM8QEQcB7P2zCnaRUCTMzX671Ct8Htx+CwMvSRERUMbCAqyQ6N6uHj0e/KIqlZmTj7e83QJtfIFFW5qvwdCJ52UnQxJ+TKBsiIiIxFnCVyIQh3dC7fVNRLPxaLL7+5S+JMjJfNk51YFutgSjGSX2JiKiiYAFXichkMix8/1XU8nQRxdfvO4ltx8Ikysp8Fe6F431wRERUUbCAq2QcbK2x8uMxsFJaiuIf//w7omLiJcrKPBWeDy7j3gXkZtyVKBsiIqKHWMBVQk1qeeG7d18RxXLz8vHW9+uQkZ0rUVbmx7GGHyxUalEs6QZXZSAiIumxgKukXunWFgF9/ESx6Lv3MfWnQAiCIFFW5kWusIRLnZ6iGC+jEhFRRcACrhKbNW4wWtTzFsX2hVzEir+OSZOQGSp8H1xKzFHoCtiLSURE0mIBV4mpLC2w4qPX4GhvI4rP2bAXpyJuSJSVeXnQA/dwfj1dfjZSbp2QLiEiIiKwgKv0arg5Y8nUUZDJHilC9HpMmL8RCSkaCTMzD0obFzhW7yCKcToRIiKSGgu4KuCFVo0wdYS/KJaUloEJ8zYiv0AnUVbmo/Di9kk3gngfIRERSYoFXBXx/tCe6Na6kSgWGhWNORv2SJSR+ShcwOVqYpF5P1KibIiIiFjAVRlyuRw/TRmJGq5OovjKncex+58LEmVlHuxcm8LKQTwYJOk6pxMhIiLpsICrQpwcbLHy4zFQWihE8WmLt+L67XsSZVXxyWQyo0l9eR8cERFJiQVcFdO8njf+99ZLolhWrhZvzV2PrBytRFlVfIWnE0m7cxp52ckSZUNERFUdC7gqaGSvDhjWvZ0odjXuHj76+XfenP8Yzj7PQ25h/TAg6HH/5iHpEiIioiqNBVwVJJPJ8O3bL6NJLS9R/K8T57F2T7BEWVVsCktrVKvVTRRLusFVGYiISBoWJWms0Wiwfft2nDhxAjExMcjOzoarqytatWqF3r17o1OnTmWVJ5mYtcoSKz8egxenLUT6I+ujfr12J1rU80abRrWkS66Ccq3XG0nX9xqe3795EHp9AeTyEv0zIiIiembF6oGLj4/H+PHj4enpia+//hpZWVlo2bIlevTogRo1auDo0aPo1asXmjRpgq1bt5Z1zmQitTxdsGjKSFGsQKfH2/M24H5ahkRZVVyudcXTiRTkpiHtdohE2RARUVVWrK6DFi1a4LXXXkNoaCh8fX2LbJOTk4MdO3ZgwYIFiIuLw/Tp002aKJWNXu2bYtIrPbD4j8OGWEKyBu/9sAmbZ70FC4XiCa+uWqwcqsPevTky7v1riCVdD4JzzS4SZkVERFWRTCjGXetJSUlwdXUt9k5L2r6ySE9Ph1qthkajgYODg9TpFJtOp8eor1Yi+N9rovjEl3vgk4AXJcqqYrp2/GvcPPm94bmtSyN0GX9WwoyIiOhZmeP5u1iXUEtajFXF4s2cKRRyLJk6Ch7V1KL4km2HcSA0QqKsKqbCqzJk3b+M7NRoibIhIqKqqlSjUK9cuYKJEyeiR48e6NmzJyZOnIgrV66YOjcqRy6O9ljx0RhYFprkd8qPvyI6/r5EWVU8as82UNq4iGIcjUpEROWtxAXcH3/8AV9fX4SFhaFFixZo3rw5zp07B19fX/z+++9lkSOVkzYNffDF6wNFsfTsXLw1dx1ytHkSZVWxyOQKuBitysACjoiIyleJC7iPPvoIM2bMwKlTp7BgwQIsWLAAJ0+exKeffoqPP/64RPtatmwZmjdvDgcHBzg4OMDPzw/79j1comjs2LGQyWSiR8eOHUX70Gq1mDRpElxcXGBra4uBAwfi9u3bojapqakICAiAWq2GWq1GQEAA0tLSRG1iY2MxYMAA2NrawsXFBZMnT0ZeXtUrWsa+2BmDnmslikXFxOPT5ds4ye//K3wZNSX2BAryMiXKhoiIqqISF3AJCQl47bXXjOKjR49GQkJCifZVo0YNfPfddzh79izOnj2L7t27Y9CgQbh06ZKhTZ8+fRAfH2947N27V7SPKVOmYPv27QgMDERwcDAyMzPRv39/6HQ6Q5uRI0ciPDwcQUFBCAoKQnh4OAICAgzbdTod+vXrh6ysLAQHByMwMBDbtm3DtGnTSvR+KgOZTIbvJwxFA293Ufz3o2ex5eBpibKqWKrV6g7ZI3O/Cbo8JMcclTAjIiKqakpcwL3wwgs4ceKEUTw4OBjPPfdcifY1YMAAvPjii2jQoAEaNGiAb7/9FnZ2dggJeTi3lkqlgoeHh+Hh7Oxs2KbRaLBmzRr88MMP6NmzJ1q1aoVNmzbh4sWLOHTowTJHUVFRCAoKwurVq+Hn5wc/Pz+sWrUKu3fvNty3d+DAAURGRmLTpk1o1aoVevbsiR9++AGrVq1Cenp6SX9EZs/WWoVVn4yFrZVKFP985Z+4cD1OoqwqDksrNZy8O4tivIxKRETlqcQF3MCBA/Hxxx9j4sSJ2LRpEzZt2oSJEyfik08+wZAhQ7Bz507DoyR0Oh0CAwORlZUFPz8/Q/zYsWNwc3NDgwYNMH78eCQmJhq2hYWFIT8/H/7+/oaYl5cXfH19cfLkSQDAqVOnoFar0aFDB0Objh07Qq1Wi9r4+vrCy+vh0lK9e/eGVqtFWFjYY3PWarVIT08XPSqLutXd8MPk4aJYXoEOb89dj9T0LImyqjgKL26fdD0IgqCXKBsiIqpqSrwG0IQJEwAAP//8M37++ecitwEPLsU9ehnzcS5evAg/Pz/k5ubCzs4O27dvR5MmTQAAffv2xdChQ+Hj44Po6Gh8/vnn6N69O8LCwqBSqZCQkAClUgknJyfRPt3d3Q2XcxMSEuDm5mZ0XDc3N1Ebd3fxJUMnJycolconXhaeM2cOvvrqq6e+R3PVv1MLvDWwK1buPG6I3U5KxaQft2DDZ+Mgl1fdpXRd6/XBlcOfGJ7nZd1DesIFqD1bPeFVREREplHiM7Bery/WozjFGwA0bNgQ4eHhCAkJwbvvvosxY8YgMjISADB8+HD069cPvr6+GDBgAPbt24erV69iz549T9ynIAiQyWSG54/+/7O0KWzGjBnQaDSGR1xc5bu8OOO1fujQpI4oduzcZfz420GJMqoYbJ3rwcapniiWdH3fY1oTERGZluRdKEqlEvXq1UPbtm0xZ84ctGjRAosWLSqyraenJ3x8fHDt2oMVAzw8PJCXl4fU1FRRu8TEREOPmoeHB+7du2e0r6SkJFGbwj1tqampyM/PN+qZe5RKpTKMoP3vUdlYWijw8/QAuDrai+ILtx7E0XOXJcqqYig8GpX3wRERUXkpVgEXGBhY7B3GxcXhn3/+KXVCgiBAq9UWuS05ORlxcXHw9PQEALRp0waWlpY4ePBhb1B8fDwiIiLQqVMnAICfnx80Gg1CQ0MNbU6fPg2NRiNqExERgfj4eEObAwcOQKVSoU2bNqV+L5WFu7MDln0YAMUjl0wFQcCkhZtxOzFFwsykVbiAS084B21myUZiExERlUaxCrhly5ahUaNGmDt3LqKiooy2azQa7N27FyNHjkSbNm2QklK8k/qnn36KEydOICYmBhcvXsTMmTNx7NgxjBo1CpmZmZg+fTpOnTqFmJgYHDt2DAMGDICLiwuGDBkCAFCr1Rg3bhymTZuGw4cP4/z58xg9ejSaNWuGnj17AgAaN26MPn36YPz48QgJCUFISAjGjx+P/v37o2HDhgAAf39/NGnSBAEBATh//jwOHz6M6dOnY/z48ZWyV600Ojati09f6yeKpWVk4+3vNyA3L1+irKTl5N0JFirx5yPpxgGJsiEioqqkWAXc8ePHMX/+fBw5cgS+vr5wcHBA/fr10axZM9SoUQPVqlXDuHHjUKtWLURERGDAgAHFOvi9e/cQEBCAhg0bokePHjh9+jSCgoLQq1cvKBQKXLx4EYMGDUKDBg0wZswYNGjQAKdOnYK9/cPLeQsXLsTgwYMxbNgwdO7cGTY2Nti1axcUiodLQm3evBnNmjWDv78//P390bx5c2zcuNGwXaFQYM+ePbCyskLnzp0xbNgwDB48GPPnzy/uz7FKeGtQV/Tt2EwUu3A9DrPW/CVRRtKSK5SoVru7KMb74IiIqDzIhBJOr5+cnIzg4GDExMQgJycHLi4uaNWqFVq1alWlRyUCQHp6OtRqNTQaTaXtucvIzsWL0xci+q54fdSFk0dgaPd2EmUlnTv/bkbEnrcNzxWWtug+JRZyC9UTXkVERBWJOZ6/S1zA0eOZ4wegNC7fiseAj34SrY+qUlpg19z30aS21xNeWflosxJx7Ke6AB7+M2oz/C+41OkhXVJERFQi5nj+rtpdZlQqjXw8MXfCK6KYNq8A4+eugyYzR6KspKGydYPaS9zzmHSDo1GJiKhssYCjUnmpaxuMeVG8nNSthGSM+mol/g6/UqUWvjeeTmRflXr/RERU/ljAUal98fpAtGpQUxQLvxaLkbNWos/UBdjx9zkUFHNCZ3NWuIDLSYtBVvIVibIhIqKqgAUclZrK0gIrPnwNzg62RtsuRd/FxAWb0eWdOViz+wSyc4ue268ysHdrBpW9+N4/TupLRERlqcQF3Ndff43s7GyjeE5ODr7++muTJEXmw8vVCes/exMe1dRFbr+dlIovV+9A+/HfYN6WINxPyyjnDMueTCYzvozK++CIiKgMlXgUqkKhQHx8vNEC8cnJyXBzcyv2GqiVkTmOYjGV3Lx8bDsWhhU7juHm3aTHtlMpLTC8e3uMH9QVtT1dyjHDspV4bR/O/zHU8FwmU6Db+zGwtHaSMCsiIioOczx/l7gH7nELvF+4cAHOzs4mSYrMj5XSEqP8O+Lo4o+w6pOxaN3Qp8h22rwCbAg6ia7vfYd3vt+A8Gux5Zxp2ahWqyvkFlaG54Kgw/3oQxJmRERElZlFcRs6OTlBJpNBJpOhQYMGoiJOp9MhMzMT77zzTpkkSeZDoZCjb8dm6NPBF2eiorFs+1EcPBNp1E6vF7D75AXsPnkBfr518e6QbujWulGRXw7MgcLSBs4+XXH/xn5DLOl6EDybDH3Cq4iIiEqn2JdQ169fD0EQ8MYbb+DHH3+EWv3wnielUolatWrBz8+vzBI1B+bYBVsersYlYMWOY/jz+DnkFzz+EnsjH0+8M/gFDOzSEkrLYn+3qDBiz61C1P4PDM8trZzR7f1oyOSKJ7yKiIikZo7n7xLfA3f8+HF07twZFhbmd4Ita+b4AShP8ckarNn1NzbtP4XMnMePSvWspsb4gV0x0r8D7KytHtuuosnRxOHvnxuLYu0DDsKpRtX+YkNEVNGZ4/m7xPfA2dvbIyoqyvD8r7/+wuDBg/Hpp58iLy/vCa+kqs6zmhqfjR2A0NWfY+aY/nB3KvofSXyyBl+v3Yn24/6H7zbuRWJqejlnWjrWam/YuTYVxTidCBERlYUSF3Bvv/02rl69CgC4efMmhg8fDhsbG/z+++/46KOPTJ4gVT4OttZ4d0g3nFw5Ez9MGo76NdyLbJeenYsl2w6j4/hv8NHS33HjTmI5Z1pyrvX6ip4nXd8nUSZERFSZlfgSqlqtxrlz51C3bl3MnTsXR44cwf79+/HPP/9gxIgRiIuLK6tcKzxz7IKtCPR6PQ6fjcKy7UcRGhX92HYymQz+7ZtiwpBuaNOoVvklWAKpt0MQurGnKPb8hEhYq2s+5hVERCQ1czx/l2oaEb1eDwA4dOgQXnzxRQCAt7c37t+/b9rsqEqQy+Xo1b4p/pwzETu+m4jeHXyLHI0qCAL2n47AoE8W46UZS3Aw9JLhs1hROHq1g6W1eDodXkYlIiJTK3EB17ZtW3zzzTfYuHEjjh8/jn79+gEAoqOj4e5e9KUwouJq26g21sx4HceWfISRvTpCaVH0CM7QqGi8PvsX9Jg8H1sPh0KbX1DOmRZNJlfApY6/KMYCjoiITK3EBdyPP/6Ic+fOYeLEiZg5cybq1asHAPjjjz/QqVMnkydIVVPd6m74/r2hOLXyM0x8uQccbIoejXrt9j1MW7wVnd7+Fj//eQTpWTnlnKmxwstqpdw6joK8LImyISKiyqjE98A9Tm5uLhQKBSwtLU2xO7NkjtfQzUVmTi62HDiNVTuPIz5Z89h2dtYqjO7th3EDnofnY9ZnLWv5uWk4+qMPBOHhnHetXvkNbvVflCQfIiJ6MnM8f5e6gAsLC0NUVBRkMhkaN26M1q1bmzo3s2OOHwBzk1+gw18nzmPZ9qO4Epvw2HaWFgq81LU13h78Ahp4e5Rjhg+Ebu6L1NgThuc1Wr6Opn0Xl3seRET0dOZ4/i5xAZeYmIjhw4fj+PHjcHR0hCAI0Gg06NatGwIDA+Hq6lpWuVZ45vgBMFeCIODouctYtv0oTkXceGLbXu2a4N0h3dCuce1yW6or+vQiXD0y0/BcZeeJrhOvmu1SYURElZk5nr9LfA/cpEmTkJGRgUuXLiElJQWpqamIiIhAeno6Jk+eXBY5EhmRyWTo3qYxfv9mAnbPex/9O7WAXF50cXTwTCRe+nQpBn2yGPtCLpbLyNXC98FpM+ORce/fMj8uERFVDaWaB+7QoUNo166dKB4aGgp/f3+kpaWZMj+zYo4VfGUSHX8fq/46jq1HQqHNe/yo1Fe6tcUPE4dDoSjx95diEwQBJ5a3QE7aTUOs3vOfo27nj8vsmEREVDrmeP4u8RlMr9cXOVDB0tKyws3JRVVLbU8XzH7nZZxe+RneH9YLajvrItv9cfQsdpw4X6a5yGQyo144TidCRESmUuICrnv37nj//fdx9+5dQ+zOnTv44IMP0KNHD5MmR1QaLo72+HBkH4Su+hxfvTkYNVydjNos+HU/8gt0RbzadAoXcJq7Z6HNulemxyQioqqhxAXckiVLkJGRgVq1aqFu3bqoV68eateujYyMDCxezFF2VHHYWqswrv9zCF4+A7PGDRJtu3UvGVsPh5bp8Z29O0OhtHskIuD+jYNlekwiIqoaSlzAeXt749y5c9izZw+mTJmCyZMnY+/evQgLC0ONGjXKIkeiZ2KhUGBc/+fQqoF4PdIffzuI3Lz8Mjuu3EKFarW7i2JJN3gZlYiInl2p7+Lu1asXJk2ahMmTJ6Nnz55PfwGRhGQyGT4e1VcUS0jWYGPQyTI9rls98THv3zwMvS6vTI9JRESVX7ELuCNHjqBJkyZIT0832qbRaNC0aVOcOHGiiFcSVQxdWjRA52b1RLEl244gK0dbZsd0qSteF1WXl4HUuH/K7HhERFQ1FLuA+/HHHzF+/Pgih9eq1Wq8/fbbWLBggUmTIzK1j0aLl7NK1mRize6y++KhsnWHg2cbUYyjUYmI6FkVu4C7cOEC+vTp89jt/v7+CAsLM0lSRGWlTUMf9GzbRBRbvv0o0jKzy+yYnE6EiIhMrdgF3L179564UL2FhQWSkpJMkhRRWfpwpLigSs/OxfLtx8rseIXvg8tOvYGs5GtldjwiIqr8il3AVa9eHRcvXnzs9n///Reenp4mSYqoLDWtUx0Du7QUxdbsPoGktIwyOZ69ewuo7MT/NjgalYiInkWxC7gXX3wRX3zxBXJzc4225eTk4Msvv0T//v1NmhxRWZn2am/R2qk52jws+eNwmRxLJpPBpW5vUSzp+r4yORYREVUNxS7gPvvsM6SkpKBBgwb4/vvv8ddff2Hnzp2YO3cuGjZsiJSUFMycObMscyUymbrV3TC0W1tRbGPQSdxJSi2T47kVug8uNe4k8nM1ZXIsIiKq/IpdwLm7u+PkyZPw9fXFjBkzMGTIEAwePBiffvopfH198c8//8Dd3b0scyUyqSnD/GFpoTA8zyvQ4cffymalBOdaL0CuUBmeC/oCJEeXTY8fERFVfiWayNfHxwd79+7F/fv3cfr0aYSEhOD+/fvYu3cvatWqVUYpEpUNb3dnjPLvKIr9dvgMbt41/WAcC6UdnH2eF8U4GpWIiEqrVCsxODk5oV27dmjfvj2cnIwXCicyF5OH9oSV8uHoap1ejwWB+8vkWEb3wd3YD0GvK5NjERFR5VbqpbSIKgM3Jwe83q+LKPbXiXBExcSb/FiF54PLz0mG5u5Zkx+HiIgqPxZwVOVNGNIN9jZWhueCIGD+FtOPErVxrAU7l8aiGKcTISKi0pC0gFu2bBmaN28OBwcHODg4wM/PD/v2PTxxCoKAWbNmwcvLC9bW1njhhRdw6dIl0T60Wi0mTZoEFxcX2NraYuDAgbh9+7aoTWpqKgICAqBWq6FWqxEQEIC0tDRRm9jYWAwYMAC2trZwcXHB5MmTkZfHRcerAicHW4wfKL4/bX/oJZy/GmvyY7kWmtSX98EREVFpSFrA1ahRA9999x3Onj2Ls2fPonv37hg0aJChSPv++++xYMECLFmyBGfOnIGHhwd69eqFjIyHE65OmTIF27dvR2BgIIKDg5GZmYn+/ftDp3t4b9HIkSMRHh6OoKAgBAUFITw8HAEBAYbtOp0O/fr1Q1ZWFoKDgxEYGIht27Zh2rRp5ffDIEmNH9gVTvY2oti8zabvhXOtJ74PLiPxInLSbz+mNRER0WMIFYyTk5OwevVqQa/XCx4eHsJ3331n2Jabmyuo1Wph+fLlgiAIQlpammBpaSkEBgYa2ty5c0eQy+VCUFCQIAiCEBkZKQAQQkJCDG1OnTolABAuX74sCIIg7N27V5DL5cKdO3cMbX799VdBpVIJGo2m2LlrNBoBQIleQxXHsu1HhOqDpooeJy9eN+kxdLp84dCCGkLQbFvDIzZslUmPQUREJWOO5+8Kcw+cTqdDYGAgsrKy4Ofnh+joaCQkJMDf39/QRqVSoWvXrjh58iQAICwsDPn5+aI2Xl5e8PX1NbQ5deoU1Go1OnToYGjTsWNHqNVqURtfX194eXkZ2vTu3RtarRZhYWGPzVmr1SI9PV30IPM1pm8XuDs5iGLfb94LQRBMdgy53AKudXqJYkk3ymbUKxERVV6SF3AXL16EnZ0dVCoV3nnnHWzfvh1NmjRBQkICABhNDuzu7m7YlpCQAKVSaTSVSeE2bm5uRsd1c3MTtSl8HCcnJyiVSkObosyZM8dwX51arYa3t3cJ3z1VJNYqS0we2lMUOxMVgyNhl016nMKjUZNjjkKXn23SYxARUeUmeQHXsGFDhIeHIyQkBO+++y7GjBmDyMhIw3aZTCZqLwiCUaywwm2Kal+aNoXNmDEDGo3G8IiLi3tiXlTxvdqrA7zdnEWxeVv2Qa/Xm+wY1er0BGQP/+npC3KRcutvk+2fiIgqP8kLOKVSiXr16qFt27aYM2cOWrRogUWLFsHDwwMAjHrAEhMTDb1lHh4eyMvLQ2pq6hPb3Lt3z+i4SUlJojaFj5Oamor8/PwnLg+mUqkMI2j/e5B5U1paYOoIf1Es4uYd7A25aLpjWDvDqYZ4BQgubk9ERCUheQFXmCAI0Gq1qF27Njw8PHDw4MO1KfPy8nD8+HF06tQJANCmTRtYWlqK2sTHxyMiIsLQxs/PDxqNBqGhoYY2p0+fhkajEbWJiIhAfPzDyVsPHDgAlUqFNm3alOn7pYrnpa5tUK+G+LL7/C1B0OlM1wtnNJ3Ijf0mvdeOiIgqN0kLuE8//RQnTpxATEwMLl68iJkzZ+LYsWMYNWoUZDIZpkyZgtmzZ2P79u2IiIjA2LFjYWNjg5EjRwIA1Go1xo0bh2nTpuHw4cM4f/48Ro8ejWbNmqFnzwf3MjVu3Bh9+vTB+PHjERISgpCQEIwfPx79+/dHw4YNAQD+/v5o0qQJAgICcP78eRw+fBjTp0/H+PHj2atWBSkUckx/VXyf2vXbifjz+OMHtJRU4fvgctNvIzPp0mNaExERiVlIefB79+4hICAA8fHxUKvVaN68OYKCgtCr14NReh999BFycnIwYcIEpKamokOHDjhw4ADs7e0N+1i4cCEsLCwwbNgw5OTkoEePHli3bh0UCoWhzebNmzF58mTDaNWBAwdiyZIlhu0KhQJ79uzBhAkT0LlzZ1hbW2PkyJGYP39+Of0kqKJ50a8Zmtb2wqXou4bYgsADGPRcKygtn/2fjW21RrBW+yBHc8sQS7q+D/Zuvs+8byIiqvxkAq/bmEx6ejrUajU0Gg177iqBw2ejMOab1aLY7Ldfxmt9O5lk/1EHpiE2bIXhuWP1Dujw2mGT7JuIiIrPHM/fFe4eOKKKonubRmjbqJYotui3g8jR5ptk/4Xvg0u7E4q87Psm2TcREVVuLOCIHkMmk+GjUeIi615qOtbvCzbJ/p1qdoHC0vaRiID7Nw4+tj0REdF/WMARPUGnZvXwXIv6otjSbUeQkZ37zPtWWFihWu1uoljSDU4nQkRET8cCjugpPhr1ouh5akY2Vu8yzcS7rnXFo1Hv3zwEvc40l2iJiKjyYgFH9BStGtRE7/ZNRbGVfx1HanrWM+/bpW5v0fMCbTrSbp965v0SEVHlxgKOqBimj+wrWlYtIzsXP28/+sz7tbL3hINHK1Es6XrQM++XiIgqNxZwRMXQuJYnBnZpKYqt3ROMeynpz7zvwpP6clktIiJ6GhZwRMU07dXeUMgf/pPJzcvH4j8OPfN+C98Hl5VyDVkpN555v0REVHmxgCMqpjperhjWo50otvlACG4npjzTfh08W0FpK1579f4NXkYlIqLHYwFHVAJThvWC0uLhMm35BTos3HrgmfYpk8mNeuF4HxwRET0JCziiEqju6oTRfcRLaf1+9Cxu3El8pv0Wvg8uJTYYybeOP9M+iYio8mIBR1RCk17pAWuV0vBcrxfww6/7n2mf1Wp1g0xuaXgu6PMR9utA3DqzFFyumIiICmMBR1RCro72GNf/OVFsZ3A4IqPvlnqfFip7VG8RIIoJgg6XD32MiN1vQ5efU+p9ExFR5cMCjqgU3hnyAhxsrESx7zc/2/QfDbvPhmu9F43idyO2IHRTb+Sk336m/RMRUeXBAo6oFBztbPD24BdEsUNnIxF25Vap92mhtEOrVwJRt/MnRtvSE84hZO1zSIkNLvX+iYio8mABR1RK4wY8B2cHW1Hs+017n2mfMpkc9Z7/DC1f/hUKpZ1oW152Es7+2h+xYSt4XxwRURXHAo6olOysrTDplR6i2D8XryP4wtVn3rd7gwHoOOYobJzqiuKCvgBRB6bh0t73oC/QPvNxiIjIPLGAI3oGAX06waOaWhSbu3mfSXrI7Fwao+PY43Cp42+07c6/GxC6uQ9yM0o/cIKIiMwXCziiZ2CltMSUYb1EsfNXY3HoTKRJ9m9p5YjWQ39HnU7TjbZp7p7BqbXPIfX2KZMci4iIzAcLOKJnNLxHe/i4VxPFvt+yD3q93iT7l8kVqN91FloM2QiFpfieu7yseziz+UXEnf/FJMciIiLzwAKO6BlZWigw9dXeolhUTDx2n7xg0uN4NBqCDq8dhrVjbVFc0OcjMmgyLgVNhl6XZ9JjEhFRxcQCjsgEBj/XCg283UWx+Vv2o0CnM+lx7N180XHscVSr3cNo2+3zv+DM5hehzUww6TGJiKjiYQFHZAIKhRzTR4rXM715Nwl/HD1r8mMprZ3RZtifqNXxA6NtaXdCcGrtc0i7c8bkxyUiooqDBRyRifTt2AzN69YQxRZuPQhtfoHJjyWTK9Cw2//QfNBayC2sRdu0mfEI3dwbty9sMPlxiYioYmABR2QiMpkMH47qK4rdSUrFlgMhZXZMzyZDH9wXp/YRxQVdHi7tnYDI/VOh1+WX2fGJiEgaLOCITOiFVg3RoUkdUeyn3w8hO7fsJt11cG+OjmOPw9mnq9G2uHMrcfbXftBmJZbZ8YmIqPyxgCMyIZlMho8K9cIlpWVg7d5/yvS4ShsXtBnxF3zaTTTalhp3EiFrn4Mm/lyZ5kBEROWHBRyRiXVoWgddWzUUxX7+8wjSs3LK9LhyuQUa9fwOzQashtzCSrQtN+MOQjf2wp2LW8o0ByIiKh8s4IjKQOFeOE1mDlbuPF4ux/byHYH2ow/CykE8oEKv0yJi91uIOvgR74sjIjJzLOCIykCLet7o27GZKLbqr7+Rkp5ZLsdXe7ZCx7F/w6lmF6NtsWd/RtjWQcjLTiqXXIiIyPRYwBGVkekj+0AmkxmeZ+VqsXTbkXI7vsrWDW1H7ELNNu8YbUu59TdOrX0e6QmmXS2CiIjKBws4ojLSsKYHhjzfWhRbt+8fJKRoyi0HucISjf3nw7ffcsgVKtG23PQ4nN7YE3cv/VZu+RBRxXPp5h28/OlS9JoyH7v/4Zc6c8ECjqgMTR3hDwvFw39m2rwC/PTboXLPo3rz0Wg3ej9U9l6iuL4gBxd3voErhz+FXm/6CYeJqGK7FncPw75YhtORNxEVE4935m3Apv2npE6LioEFHFEZquXpguE92otiWw6G4FZCcrnn4ujVFn5jT8Cxhp/RtpjQn3Bu6xDkZZd/XkQkjYQUDUZ/vQqaTPEI+U+W/YHNZTgBOZkGCziiMvb+sF5QWVoYnhfo9Fi49YAkuajs3NFu5B54t3rTaFtyzFGErO+KjMQICTIjovKUkZ2L175ejTtJqUVu//jn3xF46HQ5Z0UlwQKOqIx5uTjitb6dRLE/j4fhWtw9SfKRK5Ro0udHNOm7GDK5pWhbTloMTm/ojoSobZLkRkRlLy+/AG/NXYfImLtPbPfh0t+x9XBoOWVFJcUCjqgcvPdSd9hYKQ3P9XoB838NkjAjwLvl62g/KggqOw9RXJefjQs7xuDq0S8g6HUSZUdEZUEQBHy49DecuHBNFK/l6YK3BnY1ajt9yW/4/ciZ8kyRiokFHFE5cHG0x5sDnhfF9pz8Fxdv3JYoowcca3RAx7EnoPZqb7QtOmQBwn57Gfk5RV9iISLzM3fTPmw7FiaKuajtsOmL8fj89QGYPLSnaJsgCJi6eCv+OHq2PNOkYpAJgiBInURlkZ6eDrVaDY1GAwcHB6nToQpGk5mDTm9/C80jS2p1a90IG78YL2FWD+gLtIg8MA13Lqwz2mbtWAetXwmEnWuT8k/sKfS6PGgz70GbmQBtZvwj/70HC5U9vFuNg221BlKnSVQhrN/7D2au/FMUs1Yp8fs376Jl/ZoAHhRs323aazRnpUwmw4/vv4qXX2hTbvmWJ3M8f0vaAzdnzhy0a9cO9vb2cHNzw+DBg3HlyhVRm7Fjx0Imk4keHTt2FLXRarWYNGkSXFxcYGtri4EDB+L2bXHPRmpqKgICAqBWq6FWqxEQEIC0tDRRm9jYWAwYMAC2trZwcXHB5MmTkZeXVybvnaoetZ013h3STRQ7eu4yzkRFS5TRQ3ILFZr2XYwmvX+ETG4h2paTdhMh67vh3pW/yi0ffYEWOZpYpN0+jXtX/sKts8tx7fgsXNz9Ds4GDsY/azriyI8+OPi9M/7+uTFOb+iG8D9HIurAVNw8OQ93/t2AW2eW4vTGXtBmJpRb3kQVVVDIRXy2arsoppDLsfzD1wzFG/CgUPtk9ItGf6sEQcAHP/2K7cfPlUu+9HSS9sD16dMHI0aMQLt27VBQUICZM2fi4sWLiIyMhK2tLYAHBdy9e/ewdu1aw+uUSiWcnZ0Nz999913s2rUL69atQ7Vq1TBt2jSkpKQgLCwMCoUCANC3b1/cvn0bK1euBAC89dZbqFWrFnbt2gUA0Ol0aNmyJVxdXfHDDz8gOTkZY8aMwUsvvYTFixcX6/2YYwVP5Ss7V4tOb8/Gfc3DJbU6Nq2L3795V7Rqg5RS404ifPto5GUlGm2r0+lD1Hv+c8hkpfvupyvIRV7mPeQW6i0T954lID8n5VnfhoFHk6FoMWjt0xsSVVJnL0dj+BfLoc0Tz/U4771heLVXBwBAfk4qdPnZUNl7QSaTQRAEfLN+N1bsOCZ6jVwuw5KpozCwS6vySr9cmOP5u0JdQk1KSoKbmxuOHz+O559/cL/Q2LFjkZaWhh07dhT5Go1GA1dXV2zcuBHDhw8HANy9exfe3t7Yu3cvevfujaioKDRp0gQhISHo0OHBhzUkJAR+fn64fPkyGjZsiH379qF///6Ii4uDl9eDyU4DAwMxduxYJCYmFusXao4fACp/q3f9jVlrxL1ZW2a9hedbNpQoI2O56Xdw/s+RSI8PM9rmWrcPmg1cA0srtSGmy895UIBlJTz4b0Y8tFn3Hvz3kUItP9d0hVlJtH11F6rV6vb0hkSVzI07iRj0yWKkZWSL4lNH+GPqiN4QBAHRIQtxI3g29AW5UNq6wcm7M5xrdoGjdxf8uOsaVu46IXqtQi7HkqmjMKBLy3J8J2XLHM/fFk9vUn40mgdLDD3auwYAx44dg5ubGxwdHdG1a1d8++23cHNzAwCEhYUhPz8f/v7+hvZeXl7w9fXFyZMn0bt3b5w6dQpqtdpQvAFAx44doVarcfLkSTRs2BCnTp2Cr6+voXgDgN69e0Or1SIsLAzduhn/8ddqtdBqtYbn6enppvlBUKU2urcfVv51HHfvpxliczftw3MtGlSYXjgrh+poP3o/IoOm4O7FTaJtSTeCcGptF9g41jL0pBXkpkmT6P+TK1RQ2XlAZecJlZ07km8dF+UUtX8qOo0LgdxC9fidEFUyianpGP3VKqPi7dVeHfDBcH/oCnJxae97iL+01bAtLysR9y5vx73LDy63drF2Rr3n6+DAFSWuZHjidrYzdHpg4oLNkMll6N+pRbm+J3qowhRwgiBg6tSp6NKlC3x9fQ3xvn37YujQofDx8UF0dDQ+//xzdO/eHWFhYVCpVEhISIBSqYSTk5Nof+7u7khIeHDvS0JCgqHge5Sbm5uojbu7u2i7k5MTlEqloU1hc+bMwVdfffVM75uqHiulJaYM74WPlv5uiF24Hof9pyPQp2MzCTMTU1hYwbffMjh4tMSVQx9DEB5OKZKTFo2ctLK/d09uYSUqzB7818PwXys7DyjtPGBp5SQqfuPOrUbk/imG51kp1xAT+hPqdPqwzHMmqggyc3Ix5n9rEJco7vXu3qYx5rzzMvKyEnF+26vQ3H3yPG/5OSmohhS8WuvB86wCJa5leOBquhe+X5YImfA++nVu/cR9UNmoMAXcxIkT8e+//yI4OFgU/++yKAD4+vqibdu28PHxwZ49e/DSSy89dn+CIIj+oBfVs1GaNo+aMWMGpk6danienp4Ob2/vx+ZE9J+h3drh5z+PIib+viE2b0sQerVrCoWi4szuI5PJ4NP2Hdi7NUX4n6ORn2OapbYeFGb/FWOPFmT/H7P3gMrWAxZWjqXqlazR8nXc+XcTNPEPpz648c9ceDQZChvHWiZ5D0QVVX6BDm9/vwEXb4oH87Wo541l0wOQff8Szv8xDLnpJZ/GyNYiDy2dYtHSKRYAkHN0J4Ii2qBB875w9u4CB8/WkCssn7IXMoUKUcBNmjQJO3fuxN9//40aNWo8sa2npyd8fHxw7dqDSQg9PDyQl5eH1NRUUS9cYmIiOnXqZGhz757xrPdJSUmGXjcPDw+cPi1eNiQ1NRX5+flGPXP/UalUUKl4SYZKztJCgWkjemPSws2G2JXYBOwMDseQrhXv26xzzefg93owwv98FekJ4Y9tJ7ewhsrOE1b24sKscA+ahUpdppeLZXIFGvdeiJD1XQFBDwDQF+Ti8oHpaDX09wpzqZrI1ARBwEdLf8Px8+IZHXzcq2H9Z+OQGbsfF3e9CV2++LKqQmmHJr1/hF6Xh9TYYKTEBSNXE/vU41kr8oGUEFw79mDtVIWlDRyrd4BTzS5wrtkFas+2vHWhjEhawAmCgEmTJmH79u04duwYateu/dTXJCcnIy4uDp6engCANm3awNLSEgcPHsSwYcMAAPHx8YiIiMD3338PAPDz84NGo0FoaCjat38wYenp06eh0WgMRZ6fnx++/fZbxMfHG/Z94MABqFQqtGlTOee9IWkNeq4llmw7jCuxDy/R/xC4H/07t4ClhULCzIpmrfZG+4BDuHNhPXI0sVDauD4szOw9H/SYqRwqTHGk9myFmq3HIzZshSGWdCMISdf2wK1BfwkzIyo787cE4fdCk+46O9hiwxdvIj1yOa4dN77tx1rtg1avbIW924Pbl2q0eA0AkKOJRUps8IOCLjYYOWk3n3p8XX42kmOOIjnmKIAH96eqq7eDs3cXONXsAsfqHaCwtH7Wt0mQeBTqhAkTsGXLFvz1119o2PDhCDy1Wg1ra2tkZmZi1qxZePnll+Hp6YmYmBh8+umniI2NRVRUFOzt7QE8mEZk9+7dWLduHZydnTF9+nQkJycbTSNy9+5drFjx4I/5W2+9BR8fH6NpRNzd3TFv3jykpKRg7NixGDx4MKcRoTKz/3QExs0RT3Exd8JQjPLv+JhXUEnk56YheGVr0ZQoVg7e6Dz+LCyUthJmRmR6m/afwifL/hDFrJSW2PrVG7C8Nlc0WOE/jjX80OrlLVDauD51/7kZd5ESG4yUWydw9eI+2OpLPseiTG4JtVdbONfsDCfv5+BYowMslHYl3o+pmeP5W9IC7nHf1NeuXYuxY8ciJycHgwcPxvnz55GWlgZPT09069YN//vf/0T3muXm5uLDDz/Eli1bkJOTgx49euDnn38WtUlJScHkyZOxc+dOAMDAgQOxZMkSODo6GtrExsZiwoQJOHLkCKytrTFy5EjMnz+/2JdJzfEDQNISBAEDPvoJ4dceXqrwrKbGiWUzYKXkfSSmcDdiKy7uGieK1fabhgYvcAASVR4HQy9h3Hdrodc/PKXL5TKsmToQ9jdmFTlYoXrzADTp/WOpLnHq9Xp8vnQNLp3fgwb28WjoEI8aNiWfJkgmt4CDR6sHl1y9u8DJ2w8WqvI/f5rj+btCzQNn7szxA0DS+zv8CkbOWimKzRo3yGjtVCodQRBw9td+SLn1tyEmk1ug07hTsHNpLGFmRKYRduUWhn++DLl5+aL4vDEt4XX32yIGK8jQoPs3qNV+8jPd8qDX6/Hh0t+x9fCD4tDOIgf17RPQRJ2AHvVyIWRcA1DCEkMmh4N7C8M9dE41OsHS2unpr3tG5nj+ZgFnQub4ASDpCYKAoZ8tQ8ilG4aYs4Mtgn74AF6uZf+HqyrIvH8ZJ9f4QdA/PME51eyCdiP3VZh79ohK4+bdJAz+ZDFS0rNE8c/72aOu5uciBys0H7gWbvX7muT4er0e05f8ht+OnBHFVZYWWP3hy2jqdN9wD136vXDDoKLik8HOranhHjrnmp2Ldbm3pMzx/M0CzoTM8QNAFcOZqGgMmbFEFKtfwx1/zpkIJ3sbibKqXK4em4XoU/NFsWYDVsPLd4REGRE9m6S0DAz+eDFu3Xt0eh8BH3dJQoP87UbtCw9WMBWdTo9pS7bij0KDJ1SWFlg78w3DKjMF2nSk3g55WNAlnIOgLyhql09k69IIdfymm/Tfrjmev1nAmZA5fgCo4hg3+xfsD70kirVp6IPAr9+BtUopUVaVhy4/G8Gr2oqmRlDauKLL2+dhaeUoXWJEpZCVo8Wwz5fhwvU4Q8xCVoCP24ajjtx4CbySDFYoDZ1Ojw9+CsSfx8XHViktsH7mOHRp0cDoNQV5WUi7cxqpsSeQGvcP0u6ehaDLK9bxfPutQPXmo0ySO2Ce528WcCZkjh8AqjhS07Mw5NMluH5bvIh8j7aNsfqT1yvk1CLmJvHaXpz/Y5go5t16PJr0XihRRkQll1+gwxuzf8HRc5cNMQfLbHzU7Cg8LY0n532WwQolodPp8f6iLdjx93lR3EppifWfjUPn5vWf/Pr8HGjunnkwdUlcMNLuhEJfkFtk2+ffvQRrRx+T5W6O528WcCZkjh8AqljuJKVi0CeLkZCsEcWHdW+HHyYN5/1aJnDuj+FIurbnkYgMHcceh9qz4k2gTFSYIAiYvuQ3w8ABAPC2uY8PGh+E2qLwetwyNOz+LXzaTyq3vx0FOh3e/3EL/joRLopbKS2x4fM30alZvWLvS1+ghSY+zDAXXdqdEOjys2Hl4I2u70WZNG9zPH+zgDMhc/wAUMVz+VY8Xv50KTRZOaL4ey93x4yAfhJlVXnkpN1C8Kq20Bc8/Pk6eLRGxzFHIZOzl5Mqth9+3Y+FWw8Ynrd2uonx9Y5CKRffS2bqwQolUaDTYdKCzdj1zwVR3FqlxIbP34Sfb91S7Vevy0d6wnnkZSeb/H2Z4/m74iy6SEQAgEY+nlj32TiolOKFUpZuO4LVO/9+zKuouKwdfVC388eiWHrCOcSF/yJRRkTFs+VgyCPFm4B+XufwXoODRsWbtdoHHV47LEnxBgAWCgUWTx2F/p1aiOI52jy89r/VohH3JSFXWMKxenvJ3ldFwwKOqAJq17g2lk9/DQq5+J/orF/+wo6/z0mUVeVRq8Nk2FYT31R97dgsaLOM10wmqggOn43EjGXbADwYrPBm3SN4yfuMUTvHGn7oOPYY7F2blneKIv8VcS/6NRfF/yviQiOfviwXPRkLOKIKqlf7ppg74RWj+Ac/BRotVE0lI1co0bjQwIUCrQZXj3wmUUZEjxd+LRbvzNsInV7/YLBCk13wc7lu1K568wC0e3V3mY00LSlLCwWWThuNPh2bieLZuXkI+Ho1zl6OliizyoEFHFEFNqJnB3wy+kVRLL9Ah/Fz14mW36KSq+bTFZ5Nh4tidyN+RUrsCYkyIjIWHX8fY75ZgxxtHmra3MdnTbejrl1ioVYyNOw+G01f/LnMR5qWlKWFAj9PG43eHcRzz2XlajH6q1UIuxwjTWKVAAs4ogruvZe7443+z4li2bkPLkPcvJMkUVaVQ8Pus43WXYzc/wH0xZyLiqgsJWsyEfD1KiRrMtHa6SY+afIXqqkyRW0USju0euU31OrwbMtilSWlpQWWTQ+Af3vxZd3MHC1GfbUSYVduSZSZeWMBR1TByWQyzHpjIAZ2aSmKp6RnYeSsFUhI0RT9QnoqlZ076j3/hSiWdf8ybp1ZKlFGRA9k52ox5ps1iIlPMgxWUCkq1mCFklBaWmDZh6+hZ9smonhmjhajv1qJ81d5RaGkWMARmQG5XI6F77+K51qIJ8K8nZSKgK9XQZOZ85hX0tPUbD0eDh4tRbEbwXOQo+EJhaRRoNNhwvxNiLh+87GDFZy8O1WIwQolobK0wIqPx6B7m8aieEZ2LkbNWsHbQkqIBRyRmVBZWmDVJ2PRvG4NUTwqJh5vzPkFuXn5j3klPYlMrkDj3j8CeHj5SZefjcuHPpIsJ6q6BEHAp8v/ROiFs08crNC2Ag1WKAmVpQVWfjwG3Vo3EsXTs3MxatZK/PvI0mD0ZCzgiMyInbUVNnz+Jmp5uojipy/dxMQFm6HT6SXKzLw5erWFd6s3RLHEq7uReG2fRBlRVbXot0MI/mc3Pm/655MHKyjMd31kK6UlVn0yFl1bNRTFNVk5eHXWCly8YbwcGBljAUdkZlwc7bH5y7fg5mQvigeFXMSnK7aBi6uUTv2us6C0ERfGlw9Ohy4/W6KMqKrZejgUR4J+xidN/oKzKku0TaG0R+uhv1fowQolYaW0xJoZr+P5QovcazJzMOLL5Yi4ySLuaVjAEZkhH49q2Pj5eNjbWInimw+EYEHggce8ip7E0toJDbp9K4rlaG7h5sn5EmVEVcnhs5E49ucnRQ9WcKyFjq8dhmu9PhJlVzaslJZY8+kbRvf2PijiViAy+q5EmZkHFnBEZqppnepYM+N1KC3E63cu3HoAG/adlCgr8+bVbCScvDuJYtEhC5GVfFWijKgqCL9yDad+G43BNUKNtjl5d0LHMUdh59qkiFeaP2uVJX759A10LrTIfVpGNoZ/sQyRMSziHocFHJEZ69SsHhZPHW10SWXmyj+x++SFx7yKHkcmk6Fx74WQyR+uQyvo8xF5YCovTVOZuHEzCmc2v4h2TsZfEqo3f81sByuUhLVKiXWfjUOnQkVcakY2RnyxHJdvxUuUWcXGAo7IzPXr1Byz335JFBMEAZMXbMbJi8Yj2OjJ7F2bwqfdRFEsJeYYEqL+kCgjqqzibpzCuc3dUdNaXKAIkKFBt9lo+uJSsx6sUBLWKiXWzXwDHZvWFcVT0rMw/IvluBKbIFFmFRcLOKJKIKBPJ3ww3F8UyyvQYdyctbh0845EWZmvul0+gZWDeLqWy4c+QX4uJ00m04iL2IYLW1+Eg0WGKJ4nqNB8SCBqd6wcgxVKwsZKhQ2fj0OHpnVE8WRNJoZ/vgxX41jEPYoFHFElMXWEP0b39hPFMrJzEfC/VbiVkCxRVubJQmmHRj2/F8Xysu7h+olvH/OKykmvL4Aun5NEm5IgCLgW/B0id42BpUw8d2NagSPajT4Er0b9JMpOejZWKmz47E20b1xbFL+vycTwz5fjWtw9iTKreFjAEVUSMpkM3771Evp2bCaKJ6ZmYNRXK3E/LeMxr6SiuDUYAJe6vUWx2LDlSE+oGvcW3r6wAX8vbYwjP9bEpX0TUaDl5+dZ6fJz8O/Ocbh54hujbTE5NdD5jRPwqNlKgswqFltrFTZ88SbaNqoliielZWDY58tw/TaLOIAFHFGlolDIsXjqKKNLEDHx9/Ha/1YjMydXoszMj0wmQ+Ne8yG3eGSqFkGPyP1TIAiVd8Jkvb4AUQem49LeCdBmxkNfkIPb4etw8pdOSLtjvKQTFY82MwFnNvdFQuRvRttOpzbFC28cQI3qtYt4ZdVkZ22FjV+MR5uGPqL4f0XcjTuFJzmueljAEVUyVkpL/DLjDTSu5SmK/3vjNt6csw7a/ILHvJIKs3GqjTp+00Uxzd0zuH1hvUQZla28nBSEbR2M2LDlRtty0qIRurEnbvwzF4JeJ0F25is94QJC1nWFJv6sKK4XgD/iOqHXa5vRsFZNibKruOxtrLDpy7fQulARl5iagYk/bK7yI8NZwBFVQmo7a2z8Yjy83ZxF8eB/r+GDRb9Cr6+8PUimVrvjB7BxEk9vcPXoF8jLTpIoo7KReT8KIeteQErMsce2EQQdrv/9P5zZ0hc5Gq5Z+TSCIOB2+DqEbuqF3AzxYKIcnSUWX+2LQaPmwc+33mP2QPY2Vtj0xXi0rP+wwHVzssfiqSOr3CCPwljAEVVSHs5qbP7yLTg72IriO4PD8eWav6r8t9fikluo0Lj3AlGsIDcVV49+IVFGppd4bR9C1ndHTtpNUTxfr0BsVjWj9qlxJ3FyTUfER3JqlcfJSr6GM1v64tK+iUbLsSXl2mP2pcF46eVJ6N+5hUQZmg8HW2ts/vIttKjnDXcnB/z+zQTUq+EudVqSkwn8K24y6enpUKvV0Gg0cHBwkDodIgDAhetxGPrZz8jOzRPFPxn9Iia+0kOirMzPhR1jkBC1TRRrP/qA0coN5kQQBESHLMS1Y18CEJ8K0vJssORqb9zKckH/6ucwoPo5yGXGpwuvZqPQuNd8WKjsjbZVRXpdPmJOL8KN4DnQ67RG26+me2DpNX+M6tcHn78+UIIMzVdaZjZSM7JR29Pl6Y1LyBzP3yzgTMgcPwBUNfwdfgVjvlmD/ALxvUvz3huGV3t1kCgr85KbEY/gla2hy3s4GtPOtQn8Xv8HcoWlhJmVji4/B5f2vof4Im6qv5npiqVXeyMt/2HvbV27BIyvewSuVsajUa0d66D5wDVwrN6uTHOu6DR3wxCx7z1kJkYUuf14YiNsjumC/l3aYPEHoyCX8yJYRWGO529+eoiqgOdbNsTCySOM4h8v+x0HQos+2Ziju/fTsPj3Q+gzdQE6vzMbgYdOm2zfVvaeqPfcZ6JYZlJkkTf8V3S5GXcRuql3kcXbqfv18H3kQKTl28LNyR7rP3sTNVydcCPTA19FvIxT943v18pJu/n/Axy+r5IDHAryMnH50McI2dCtyOLtvtYOCy/3xYbormjftAEWTH6VxRs9M/bAmZA5VvBUtaze9TdmrflLFFMpLRD41Tto19g8pzDQ5hfg4JlL2HooFMfDr0CvF/9JmzVuEN4c8LxJjqXXFyBk7XPISLxoiCmUdugyPgxWDtVNcoyylnbnDM5vG4G8LPFcWnoB2BbXAUHxLQDIYKW0xLbZ76FFPW/cT8vAW3PXIzQqGgDQodo1BNQ+AWtFvtH+nbw7odmANbBWe5fH25Fc0o2DiNz/PnI1sUbb9IIMhxJ8seN2O2j1lmhcyxN/fPMe1HbWEmRKT2KO528WcCZkjh8AqnrmbNyDpduOiGJqW2v8OWciGtb0kCirkouMvouth0Px5/EwpGZkP7HtD5OGY3iP9iY5btrt0zi9UXzvoHujwWg5ZJNJ9l+W7lzcgsh9k4zuzcrRWWLl9R74N+3hdA3LP3oN/Ts9vMFem1+AT5f/ga2HH8wF56JKx5t1j6C+vfGkqhYqNZr0WQTPJq+U0TuRXl52Ei4f+gTxl7YWuT0u2xnrb3ZFdJYbAKB/pxb4/r2hcLBl8VYRmeP5mwWcCZnjB4CqHkEQMH3JVsOJ+D8e1dT467tJqO7qJFFmT5eWmY0df5/Db4fP4N8bt4v9Orlchp+nB4gKkmcRsXci7lxYJ4q1HrYdrnV7mWT/pibodbh67AvEnF5ktC05zwkLo3ohPvfh7/3jUX0xaWhP4/0IAlbv+hv/W7cLer0AOfRVboCDIAiIv7QVlw99hPycFKPt+XoFdt5pjf3xLaATFFBaKPDlG4PwWt9OVX7ai4rMHM/fLOBMyBw/AFQ1Feh0eHPOOhw6GymK16vhhu2zJ8Kp0NQjUtLr9Qj+9xq2Hg5FUEjEUycitrNWoU1DHxwPvyqKW1oo8Munb6Bb60bPnFNedjKCV7YSncCtHeug8/hQKB5duaECyM9Nw79/vY77Nw8abYvNr4v5F7ogS/cw51e6tcXCySOeWGwcCYvCez9sQkb2g5U9qsoAh+y0GEQGTUFy9KEit19O98SG6OdxL9cRAODjUQ3LP3wNzerWKMcsqTTM8fzNAs6EzPEDQFVXjjYPI75YjrArt0TxVg1qYuvX78DGSiVRZg/E3kvGb0fO4PcjZ3EnKfWp7Ts2rYsRPdvjRb9msLFSFXmp2Eppic1fvmW01Fhp3L6wAZf2ThDF6nb5FPWe+/SZ920qWcnXcP6PYchKuWa07bqsG+aG1IP+kbFs7RvXxq9fvwOVpcVT930t7h7GfrsGtxKSAQDWCi1G1QqGn8t1o7YymQJ1n5uJOn7TIJMrnuEdSUPQ63Dr7DJc//trozndACC7QInfYzviRFIjCHhQ+PKSqXkxx/M3CzgTMscPAFVtqRnZeGnGElwrtDh09zaNsWbG67C0KN+TbY42H/tC/sXWQ6H456JxIVCYZzU1hnZvh6Hd2xnNDSUIAj5b+SfW7zspittZq/Db/95F83rPdpO9IOgRutEfaXdCDDG5QoVOb4bC1rnuM+3bFO7fPIQLO8agQKsRxWVyS8Q6jsOsfeI//T7u1bBr3mQ4O9gV+xip6Vl4Z94G0e+qsg1wSL93EZf2vof0hHNFbj+bUhtbYjpD8/9TrvCSqXkyx/M3CzgTMscPANHdpFQM+mQx4pPFJ/riXEozBUEQcOF6HLYeDsVff59H+v9flnscSwsFerf3xfCe7fF8iwZQKB4/HYNer8cHPwVi27EwUdzJ3gbbZr+HBt7PNmgjIzECp37pDEF4OHVGtdo90Wb4dslO3oIg4NaZJbhyZCYgiJdMU9q4Iq32F5j0i3iqCwcbK/w1dzLqe5d8dvv8Ah2+XL0DG4IeFsqVYYCDLj8HN/6Zi5iQhaLf739S82ywOaYLzqc+HL3NS6bmyxzP3yzgTMgcPwBEAHA1LgEvfboUaYVGc747pBtmjulfJsdM1mTiz+NhCDwUiiuxCU9t37iWJ0b07IAhz7cqUS9RgU6Ht7/fgP2nxUWLu7MDts+ZiJruxktFlcTlQ5/g1pkloliLIRvh0WjIM+23NHQFuYgMeh93L2422mbv3hzy5vMw8ru/kPfIhM4KuRwbv3gTz7ds+EzHXr/3H3yxegd0/7/OrjkPcEi+dRyR+yYjO/VGkduP3muCbXHtkaN7eJsBL5maN3M8f7OAMyFz/AAQ/SfscgyGf7EcuXniS19fvD4Qbw3qapJjFOh0OHbuCrYeDsXBM5dQoNM/sb3a1hqDu7bGiB7t4Vuneql7tbT5BRj7zWqcuCC+F6ymuzO2zZ4Iz2rqUu0XAAq0GQhe2RrazHhDTGXvhS7jw8q1ONFmJuD8tpHQ3A012ubeaAjUbWdj0MxVSEnPEm2b887LCOhjmuXAgi9cxdvzNkCTmWOI1bVLwFv1jsBFVfEHOOTnpOLK0c+NRhj/526OI9bffB7XMz0NMV4yrRzM8fwt6VTQc+bMQbt27WBvbw83NzcMHjwYV65cEbURBAGzZs2Cl5cXrK2t8cILL+DSpUuiNlqtFpMmTYKLiwtsbW0xcOBA3L4tnmIgNTUVAQEBUKvVUKvVCAgIQFpamqhNbGwsBgwYAFtbW7i4uGDy5MnIyxOvH0lUWbVpVAsrPnoNikIzxH+9dqfRJciSunEnEbM37EaHN7/B2G/XYF/IxccWbzKZDF1bNsDSaaMRtvZLfPvWS2hWt8YznRxVlhZYM+N1tGnoI4rH3kvByC9XICU9s9T7tlDZo1HPuaKYNuMubgTPKfU+S0oTfw6n1j1fZPFW7/nPUavnCrwx91ej4m1c/+dMVrwBQJcWDbDr+/dRr4abIXYj0wOzLlbsFRwEQUDC5e0IXtWmyOJNJyiw83ZrfHXxFVHx5uNRDX/NnYwxL3Zm8UblTtIeuD59+mDEiBFo164dCgoKMHPmTFy8eBGRkZGwtX1wQ+jcuXPx7bffYt26dWjQoAG++eYb/P3337hy5Qrs7R98u3333Xexa9curFu3DtWqVcO0adOQkpKCsLAwKBQPbsLu27cvbt++jZUrVwIA3nrrLdSqVQu7du0CAOh0OrRs2RKurq744YcfkJycjDFjxuCll17C4sWLi/V+zLGCJyrs9yNn8MFPgaKYhUKOtTPHlWgKjsycXOz+5wK2Hg7FmaiYp7b3dnPG8B7tMbR72zKbi06TmYOhn/2MyJi7onjzujUQ+PU7pb78JQgCwrYORnL0YUNMJlPA741/YO/m+0w5P0185O+I2PMu9AXiewcVlrZoNmAVqtXrh9e+Xo2/L4inVenRtjF+mfHGE+8hLK30rBxM+GETjp27LIp3qHYNr9f9B5Yy40Xenbw7o9mA1eU+wCE3/Q4iD0xF0rU9RW6PyfbAL9efw50cZ1Gcl0wrF3M8f1eoS6hJSUlwc3PD8ePH8fzzz0MQBHh5eWHKlCn4+OOPATzobXN3d8fcuXPx9ttvQ6PRwNXVFRs3bsTw4cMBAHfv3oW3tzf27t2L3r17IyoqCk2aNEFISAg6dHiwcHdISAj8/Pxw+fJlNGzYEPv27UP//v0RFxcHLy8vAEBgYCDGjh2LxMTEYv1CzfEDQFSUn/88gtkbxCc0a5USW//3Dlo38HnMqx4UMmeiorH1cCh2/XMB2blP7sFWKS3Qz68FhvdsD7+mdcplfcj7aRl46dOluHk3SRTv0KQONn05HtYqZan2m5VyHf+sbg9B9/A9O1bviPYBByCTmf59CYIe1//+GjdPzjfaZq32QatXtsLOtSlmrvhTNMAAABr5eGLHdxNhZ112c9bpdHp8u343Vu48Loq7qNIxqckJ1FAaT8RsYeWIpn0WwaPxy2WW138EQY+4c6tx9diX0OUZX97VyawQGN0GR+81gfDIxSpeMq2czPH8XaFW09VoHoyCc3Z+8E0nOjoaCQkJ8Pf3N7RRqVTo2rUrTp588AcpLCwM+fn5ojZeXl7w9fU1tDl16hTUarWheAOAjh07Qq1Wi9r4+voaijcA6N27N7RaLcLCir58pNVqkZ6eLnoQVQbvDumG8QPF64fmaPMw5n+rceNOolH7hBQNlmw7jOff+w4vfboUWw+feWLx1rJ+TXz37is498ss/PTBSHRuVq/cFvd2cbRH4FdvG/XynY68ifFz1yPvKRMFP46tcz3U6ThVFEu7E1LkgIJnVaBNx/k/RhRZvDnV7IKOY4/D3s0Xv+wJNireXB3tsW7mG2VavAGAQiHHF28MxPyJw0TT0dzXOuCr832xP7EjCp+CCnLTcGHHGFzc/TYKtMZFlalk3o9C6KbeiDowtcjiLSa/IT4+9zKO3PMVFW+8ZEoVSYUp4ARBwNSpU9GlSxf4+j645JCQ8GBkmru7eGi7u7u7YVtCQgKUSiWcnJye2MbNzQ2Fubm5idoUPo6TkxOUSqWhTWFz5swx3FOnVqvh7W0+cxsRPYlMJsPnYwdg8POtRPHUjGyMnLUS8cka5OUXYO+pfzHmm9Vo/+b/8N3GvYi+e/+x+6ymtsNbA7vi0KLp2D3vfYzu7SfZot5erk749au34eooHmRw7NxlTF64BbqnDK54nNp+02DtKJ4k+MqRmcjLTi51roVlp97E6Q09kHR9r9E271bj0HbELihtXHD4bBS++uUv0XaVpQXWfPo6arg5G722rIzo2QFbv34Hzo+s7qGHHL9Ft8DcqEHQKY2ncrl7cTNO/tIZaXfPmjQXfYEW10/MfrDv26eMG1g6YUNcX/zvXFek5olHOvfv1AL7fviAU4RQhfH06bbLycSJE/Hvv/8iODjYaFvhbzqCIDz120/hNkW1L02bR82YMQNTpz78xp2ens4ijioNuVyOBZNGIDU9S7Qs1Z2kVLw0YwmycrVGN8Ub70OG7q0bY3jP9ujRpjGUxZjhv7zU8XLFlllv45XPlopGTe4+eQG21krMe29YiXsFFZbWaOw/H+d+e8kQy89JwbXjX6Jp3yVPeGXxJMccw4XtryE/V7wGp0xugUa95qFm6/EAgKiYeLz3w0bo9eI7ZBa+P+KJl8DLSvsmdbBn3hS8PvsXXL71cLTu1XQ3vH+yD77ofBVuWnFPYU7aTYRu6GGyFRxSb4fg0r6JyLp/ucjtiVZd8U1wLdGyYsCDS6azxg1GQB8/9rpRhVIheuAmTZqEnTt34ujRo6hR4+G3Gw+PB9/MCveAJSYmGnrLPDw8kJeXh9TU1Ce2uXfPeELJpKQkUZvCx0lNTUV+fr5Rz9x/VCoVHBwcRA+iykRpaYGVH49Fi/riLyZxiSlPLN7qeLlixmv9ELr6c6z7bBz6dmxWoYq3/zSu5YmNX4yHjZX4vreth8/gq192ojS3CLvW9Yd7w0Gi2O3wdUi7YzxCtLgEQUBs2AqEBQ4yKt4srZ3RdsROQ/GWlJaB179dg8wc8UCBaa/2xsAu4h7V8uTt7owd302Ef/umoniOToUZfzfD33kjIbcU93oJgg7X//4aZ7a8iBxNXKmOW6BNR+T+qQjd2KvI4s3SviZ2ZLyOGccbGRVv/10y5f1uVBFJWsAJgoCJEyfizz//xJEjR1C7dm3R9tq1a8PDwwMHDz5chDkvLw/Hjx9Hp04Phr63adMGlpaWojbx8fGIiIgwtPHz84NGo0Fo6MM/oKdPn4ZGoxG1iYiIQHz8w2+HBw4cgEqlQps2bUz/5onMhK21Chs+exO1vVye2M7GSonhPdpj+5yJOL70Y7z3Und4OJd+frXy0rqBD9bOHGe0/uea3SfwQ+D+Uu2zYc+5UFjaimKR+6dAry/5/XV6XR4igyYj6sA0oxUB7FyboOPYv+Hs8+B+xRxtPsbNWYvbhdaOHfx8K0wZ1qvExzY1O2srrP5kLCa+3MNo2/rz9vjp1hhYubY22pYa9w9O/uKHhKhtJTpe4rW9+GdVO8SdWwlAXIzLZArAJwBTTw/ArkjjgSu8ZEoVnaSjUCdMmIAtW7bgr7/+QsOGD2cBV6vVsLZ+cG/M3LlzMWfOHKxduxb169fH7NmzcezYMaNpRHbv3o1169bB2dkZ06dPR3JystE0Infv3sWKFSsAPJhGxMfHx2gaEXd3d8ybNw8pKSkYO3YsBg8ezGlEiADE3UvB4E8W416qeLBO+8a1Mbxne/Tv1AK21qrHvLriOxh6CePnrjOan660ExlHn16Eq0dmimKNen4Pn3YTir2PvOwkhP85CqlxJ422uTXoj2b9VxkmCxYEARMXbMJfJ8JF7do09MHW/70LK6Vlid9DWfrzeBg+XPIbtIUGjTjaKLFoSB4KbqwyWgoMALyajUbjXvOeOEmyNuseLh/8EAlRfxa53c69BU7lD8eP+24ZbeMl06rJHM/fkhZwj/vHsXbtWowdOxbAgz9KX331FVasWIHU1FR06NABS5cuNQx0AIDc3Fx8+OGH2LJlC3JyctCjRw/8/PPPovvRUlJSMHnyZOzcuRMAMHDgQCxZsgSOjo6GNrGxsZgwYQKOHDkCa2trjBw5EvPnz4dKVbyTkjl+AIhKIjr+Pr7+5S/c12SiU7N6GN69PepUd5U6LZPZ8fc5TFq4xejS6ffvDcXIXh1LtC+9Lh+n1nZGZlKkIaZQ2uO5t89DZff0NVjT713E+W3DkauJNdpWp/PHqPfcTNH0JAsC92NB4AFRO283Z+z6fjJcHCveclUAcO7qLbw5Zy0SU8UjQeVyGb4ZXg8+yYuRqzEusqwd66D5oF/g6NVWFBcEAXf+3YgrR2aiIDfV6HVyC2u4tp6KL/arcO7qHaPtXMu06jLH83eFmgfO3JnjB4CIxDbtP4VPlv0hislkMiydNqrE95Clxp1E6CZ/Ucyj8StoMXjdE1+XcHkHIna/BV2+eG1auYU1mvVfbjRP2o6/z2HiAvF0JXbWKuz4bhIa+XiiIrt7Pw3jZq/FxZvG88KN7tkMI2r8jXtRvxltk8kUogEOWSk3EBk0GSm3jhu1BYBqtboh2Wsipq46IRq08p/+nVpg3sRhsLcp2+lVqGIyx/M3CzgTMscPABEZW77jKL5Zt1sUs1DIsWbG6+jRtkmJ9nVx9zu4e3GTKNZ2xC5Uq93NqK0g6HEj+DvcCJ5ttM3KoQZavbwVDh4tRPGwyzEY9vky0aVIuVyG9Z+9WaKVM6SUo83DB4sCsfvkBaNtHZrWwXeD7XDr70+KnLPNybszqtXqhpun5hutRgEAllbOqPvCN1h/To2Vu/422s5LpgSY5/mbBZwJmeMHgIiKNm/zPiz6/ZAoplJaYOPn49GpmfG6no+Tl52EEytaiy7p2TjXR+dxIZBbPLw9oyAvExG738a9K38Z7cOxeke0fHkzVLbiEfFx91Iw4KNFuK8Rr+X6v/FD8Hq/LsXOsSIQBAE//nYQP/xqPHDE280ZK9/vheywGUi7c7rY+/RoMhTqljMwaek+nL9qfCmal0zpP+Z4/q4Q04gQEVU000f2MSqCtHkFeP3bX4osBh5HaeOKBi98JYplp1xD9OlFhuc5abdwemPPIou36s1fQ7uRe4yKt4zsXIz9do1R8Tbmxc5mV7wBDy5TfzDcH8s/es1owEVcYgpe+d8OaBosQN0unwJPWZrMyqEGWg/dhnue09Dv0w1F/r76d2qBoAVTWbyR2WIBR0RUBJlMhq/GDcKw7u1E8axcLUZ/vVI0Ie3T1Gg5FmpP8Q33N09+j+y0GKTG/YNT655HZmJEoQTkaNTzezR9camopw4ACnQ6TJi/EVdixXNXdm3VEF+NE89BZ276d2qB7XMmwrOaeAqarFwtxs3diANJHdF+1H5Yq4uakFiGmm3fRbuxp7Dsby3emL0Wmizx/W5KCwVmv/0yln0YwPvdyKzxEqoJmWMXLBE92YNiaRP2nvpXFHdzsse22RNR2/PJ8+P9Jz0hHKfWPS+aGsPWpRGyU65DKDQ/nIWVI1oM3gCX2t2L3NcXq3fgl90nRLEG3u7Y8d0kONhKszyZqd1LSceb360tsvfs5Rfa4Ntx/rh59GPEX9oK4MGceE37LkGmZT28O3/jYy+ZrvjoNfjWYa8biZnj+ZsFnAmZ4weAiJ5Om1+AN75dI1pSDABquDrhzzkT4eXiWKz9RB2Yjtiw5U9sY1utAVq98htsnYu+z2793n8wc6V4frNqajvs+n4yarpXK1Ye5iI3Lx8fLf0dfx4PM9rWuqEPVn8yFna4j7ycFKg9WuHg2Sh8sCjQqNcN4ChTejJzPH/zEioR0VOoLC2w6pOxaN9YvFrM7aRUjJy1AvfTjEdHFqXe859DaVv00nwA4FK3Nzq8dvSxxdux85fxxeodopjSQoE1M8ZWuuINAKyUllg05VXMeK2f0QjRc1duod/0H3EzVQkb15b437o9vGRKVQp74EzIHCt4Iiq+9KwcDP98udGcZU1re+G3/02A2u7ply/jL/2Gf3e+YRSv1fEDNOg667GLtl+NS8CgjxcjI1s8VcZPH4zES10r/3J/B0IjMGnBFmTlitd4tVYpUdvTBZExd41ew0umVFzmeP5mDxwRUTE52Fpj05fjUa+Gmyh+KfouxnyzGtmFiouieDQZCpc6Dyf3lStUaDZgNRp2+99ji7dkTSbGfrPGqHh7f1ivKlG8AYB/e1/s+G4SvN2cRfEcbV6RxduAzg9GmbJ4o8qKPXAmZI4VPBGVXHyyBi/NWIK4xBRR/PkWDbD2s3FQWVo88fW6/BzEnF6EvOz78G71BuxcHz85cG5ePkZ8sRxnL8eI4gM6t8DSaaMhl1et7+HJmky8NXc9TkfeLHI7J+al0jDH8zcLOBMyxw8AEZVOTPx9vPzpUtxLTRfF+3RshuUfBsBCUXRvWkkIgoD3f/zV6Cb+lvVr4vdvJsBaVbEWqC8vefkF+HTFNgQeChXFecmUSsscz99V66sbEZGJ1PJ0wZav3oajvY0oHhRyEdOX/Aa9Xv+YVxbfT78fMirevFwc8cunr1fZ4g0AlJYWmPfeMHz95mA42tvA0kKBl19ow0umVKWwB86EzLGCJ6JnE34tFiO+WI7MHPH9b2Nf7Iz/jR9S6st4u4LD8e78jaKYrZUK27+biCa1vEqdb2WjzS9AXn4BR5jSMzHH8zd74IiInkHL+jWxduY4qJTi+97W7f0H32/eV6p9nr8aiyk//SqKyeUy/Dx9NIu3QlSWFizeqEpiAUdE9Iz8fOti5UdjYaEQ/0ld/Mdh/PznkRLt605SKt6Y/Qu0eeLVGb4YOxA92j5+sAMRVS0s4IiITKBH28ZY/MEoyOXiS6azN+zBxqCTxdpHZs6DBeqTCk0MPLq3H8YNeM5kuRKR+WMBR0RkIgO6tMTcd4caxT9d8Se2Hz/3xNfqdHpM/GEzomLiRfHnWtR/pnvpiKhyYgFHRGRCr/bqgC/fGCiKCYKAKYt+xf7TEY993Tfrd+HQ2UhRrF4NNyz/cAwsLZ59ShIiqlxYwBERmdj4gV3xwXB/UUyn1+PdeRsQfOGqUftN+09h1c6/RTEnexusmzmuWMtzEVHVwwKOiKgMTB3hj/EDnxfF8gp0eGPOWoQ9sqrCiQtXMXPFn6J2lhYKrP7kddTydCmPVInIDLGAIyIqAzKZDF+8PhAjerYXxbNz8/Da/1YjMvourt++h7fnroeu0KS/308Yig5N65RnukRkZp68YB8REZWaTCbD3HeHIitHi13/XDDENVk5GDlrBWytVEgvtED9xJd7YGj3duWdKhGZGfbAERGVIYVCjkVTRqJb60ai+H1NJm7dSxbFXvRrjo9G9SnP9IjITLGAIyIqY0pLC6z8eMwTL4s2r1sDi6a8Crmcf5aJ6On4l4KIqBxYq5RYN3McWtTzNtrmUU2NX2a+AWuVUoLMiMgcsYAjIion9jZW2PTFeDTwdjfEHhR2b8DDWS1hZkRkbjiIgYioHDk52OLPOROxdNsRpKRn4a1BXdGwpofUaRGRmWEBR0RUzhztbDBzTH+p0yAiM8ZLqERERERmhgUcERERkZlhAUdERERkZljAEREREZkZFnBEREREZoYFHBEREZGZYQFHREREZGZYwBERERGZGRZwRERERGaGBRwRERGRmWEBR0RERGRmWMARERERmRkuZm9CgiAAANLT0yXOhIiIiIrrv/P2f+dxc8ACzoQyMjIAAN7e3hJnQkRERCWVkZEBtVotdRrFIhPMqdys4PR6Pe7evQt7e3vIZDKT7Tc9PR3e3t6Ii4uDg4ODyfZrSszRNJijaTBH02COpsEcTaMscxQEARkZGfDy8oJcbh53l7EHzoTkcjlq1KhRZvt3cHCosP+w/sMcTYM5mgZzNA3maBrM0TTKKkdz6Xn7j3mUmURERERkwAKOiIiIyMywgDMDKpUKX375JVQqldSpPBZzNA3maBrM0TSYo2kwR9MwhxzLEwcxEBEREZkZ9sARERERmRkWcERERERmhgUcERERkZlhAUdERERkZljAEREREZkZFnBULvR6vdQpPBVzNA3maBrM0TSYo2kwR9MwZY4s4KjM5OTkQKfTIT8/v8KuLcccTYM5mgZzNA3maBrM0TTKKseK+W7J7EVERKB///7o3LkzmjVrhl9++QUxMTFSpyXCHE2DOZoGczQN5mgazNE0yjJHTuRLJnfz5k20adMGI0eORMuWLXHp0iX88ccf6NmzJ95991106NBB6hSZI3NkjsyROTJH885RIDKxuXPnCi+88IIotmXLFsHPz08YNmyYcP78eWkSewRzNA3maBrM0TSYo2kwR9Mo6xx5CZVMTqfTQaPRICsry3DD5quvvopp06bh2rVr2LJlC3JzcyFI2PnLHJkjc2SOzJE5mnWOz1T+ERVh3bp1gp2dnRAZGSkIgiBotVrDtmXLlglWVlZCRESEVOkJgsAcTYU5mgZzNA3maBrM0TTKOkcWcFQmevbsKdSvX19IT08XBEEQcnNzDdvq1asnLFy4UKLMHmKOpsEcTYM5mgZzNA3maBplmSMvodIzuXr1Kj755BMEBARg8eLFCA8PBwD89NNPsLGxQceOHZGcnAyVSgUAyMrKgoODA1xdXZkjc2SOzJE5MkfmWFrPWl1S1XXp0iVBrVYLffv2FV555RXBxcVFeOGFF4Tly5cLgiAIYWFhQtu2bQU3Nzdh7dq1wh9//CHMmDFDqFatmnDjxg3myByZI3NkjsyROZYSCzgqFa1WK7z66qvCW2+9ZYhdvnxZGDdunNCyZUth0aJFgiAIQmpqqvDmm28K9evXF+rVqye0a9dOOHfuHHNkjsyROTJH5sgcnwELOCq1rl27ChMmTBAEQRD0er0gCIIQExMjTJgwQejQoYPwxx9/GNrGxsYKSUlJQmpqKnNkjsyROTJH5sgcnxHvgaMSEwQBeXl5qFGjBlJTU5GXlwfhwZcB+Pj44IMPPoCdnR1+++03w2tq1KgBFxcXODo6MkfmyByZI3NkjszRBAkQlcqePXsEuVwurF69WhCEB988dDqdIAiCcPToUUEmkwmXLl2SMkXmaCLM0TSYo2kwR9NgjqYhVY4s4KhECgoKBEF42E381VdfCQqFQti8ebOo3b///is0bdq03G4iZY7MkTkyR+bIHKtSjhbP3odHVYlCoYAgCEhISICnpyc+/PBDZGdnIyAgANHR0RgwYABq1qyJzZv/r707D4uq7v8//h52BNmVRROXFBUEVMwlxdzNVMr0NtcbvTXXXHJHc7u1xbrLrG6K1LRcr7tcurO0LM0l9xQQRdRQBBGVxS8yyDLz+v3Bj5Mj6J06zplhXs/r6krOOSMPhzOcz5w5y3opKiqS6tWr00gjjTTSSCONxs7oQ0JWZSt/x/HSSy8hJCQEWVlZAACdTofY2FjUrFkTAQEBaNq0Kfz9/U12FhCNNNJII400WptRA6h4ozBm1uXm5kp2drY4ODjIU089JRqNRkREjh8/Lu+9957ExsaKp6ensvy5c+ckPT1diouLpVmzZlK7dm0aaaSRRhpppPEJxAEcq7SEhAQZPny45OXlKSvt6tWrJTAwUETKbtJra2tLI4000kgjjTSqEC8jwip05coV6dmzp/To0UPWr18vixcvlpKSEnnmmWfk559/FhExWGFjY2Pl4sWLNNJII4000kijqXoiH8wyi+6nn35CWFgYrl+/rkzTarUYMGAAfHx8cOTIEQBlxwFcvXoVTk5OiIqKQklJCY000kgjjTTSaII4gGMVWrduHZydnZUDNctXRr1ejz59+qBevXooLCxUlj99+jRSUlJopJFGGmmkkUYTxQEcUyq/8ODNmzfx9NNPY/r06co1bspX4EuXLiEkJAT/+te/DB5DI4000kgjjTSaLh4Dx6SoqEhERIqLi0VExNnZWV555RU5ePCgxMXFicifn/MHBASIm5ubpKWliYiIjY1pViEaaaSRRhpptHbj3XEAZ+UlJSXJkCFDpHPnztK/f3/ZuXOnVKtWTaZMmSJ16tSRtWvXyvLly5Xl7e3txd/fX1xcXJR7vtFII4000kgjjSbOdDv7mLl17tw5uLu7Y8yYMZg2bRqGDh0KjUaDWbNm4c6dO7h+/TpGjhyJ0NBQdO/eHR9++CFGjBgBV1dXnD17lkYaaaSRRhppVCkO4Ky4OXPmoHv37gbT1qxZA3t7e0yaNAk6nQ65ubnYtGkTunXrhnbt2uGFF15AfHw8jTTSSCONNNKoYhzAWXGjR49GVFQUgLIDM8sPwtywYQNsbW2xfPlyg+VLSkpQVFREI4000kgjjTSqHAdwVtwHH3yA6tWrIzU1FUDZSll+ps2yZcvg4uJi8tO2741G40SjcaLRONFonGg0TpZgrCwO4Ky4tLQ0dO3aFb1790Z6ejoAoLi4GEDZKdKBgYH49ttv1STSaKRoNE40GicajRONxskSjJXFs1CtLJ1Op/z5qaeeksGDB0tOTo5MmzZNrly5Ivb29iIi4uHhoZxdQyONNNJII400mlnqjBuZmun1eoN3E7GxsYiMjER4eDj27t2L3377DTExMfDz88Ply5dppJFGGmmkkUYziwM4K0un02HZsmXQaDTYsWOHMv3HH3/EwIED4eDggMaNGyMoKAgnTpygkUYaaaSRRhrNMA1gjvsFmTHKzMyUtLQ0yc/Pl4iICPHw8BARkRMnTsj+/ftl2LBh4u3tbfCYM2fOSPXq1cXJyUlq1KhBI4000kgjjTSaY2qPINmTKT4+HrVq1UJ4eDg0Gg06dOiARYsWKfPv3LlT6ePK7/Nmimg0TjQaJxqNE43GiUbjZAnGR40nMVTBbt68KQMGDJBBgwbJ999/LykpKRIeHi7ffPONREdHi4iIo6OjclDmwoULJTY2VkT+vM8bjTTSSCONNNJoxqkzbmRPspMnT+Lpp59GcnKyMi07OxuffPIJmjRpggkTJijTMzMzMWjQIDRu3Bh5eXnKtW9opJFGGmmkkUbzjQO4KlhKSgr8/f3x9ddfG0y/desW3nvvPTRv3txgXnJyMq5evUojjTTSSCONNFpI/Ai1Cubp6Sn16tWTrVu3Sm5urjLdzc1NRo4cKY6OjrJnzx5lelBQkPj7+9NII4000kgjjZaS2iNI9vjl5+cjKysLhYWFytWjd+/eDRsbG8yaNQtardZg+Tlz5iAyMlJZlkYaaaSRRhpptKw4gLPwEhIS0KZNGzRu3BihoaGYMGECLl26BABYu3YtbG1t8dprr+HChQvKY4YOHYrBgweb7CwbGmmkkUYaabR2o7HjAM6CS01Nhbe3NyZOnIjvv/8eMTEx6NChA+rXr4/z588DAL755hu4ubmhY8eO6N69O4YMGYLq1asjISGBRhpppJFGGmm00DiAs+DWr1+PyMhIFBUVKdOOHDmCbt26wdfXV3mncfLkSbzzzjv429/+hmnTpiEpKYlGGmmkkUYaabTgOICz4D788EN4eHggPz/fYHpCQgK6deuGdu3aISsry2CeTqczJZFGI0WjcaLRONFonGg0TpZgfBLxLFQLrk2bNlKnTh3ZsmWLlJSUKNNDQkJk4sSJUlBQIImJiSIiotfrRUTExsa0P3IaaaSRRhpptHbjk8jy/wVWXPPmzSUwMFBWrFghx48fV64mrdFopG/fvpKXlye//vqriKi3stJII4000kijtRufRFXnX2Jl6fV6sbe3l02bNolWq5Xx48cbXM8GgDRp0kTVa9rQSCONNNJIo7Ubn1QalA9VmcVVWloqdnZ2UlBQIM8995zodDpp166dtGvXTg4dOiRfffWVHDt2TBo2bEgjjTTSSCONNFahOICz8MpX3MLCQlmyZIkcPHhQsrKyxNfXV5YvXy7h4eFqE2mkkUYaaaTR6o3GjgM4M+7mzZvi5OQkrq6uD1xOp9OJra2t8udbt26Jk5OTVKtWjUYaaaSRRhpprIqZ4lRX9vAlJSXB2dkZ//jHPyrc/sNcotE40WicaDRONBonGo2TJRjVigM4MywzMxNt2rRB+/bt4ebmhlGjRpndikujcaLRONFonGg0TjQaJ0swqpmd2nsAmWEA5NixY1K3bl2ZOXOmZGdnS1RUlIiIrFixQpydnVUW0misaDRONBonGo0TjcbJEoyqp864kT2ojIwM7N69W/l6165dqFatGkaNGoWCggJlul6vV4MHgEZjRaNxotE40WicaDROlmBUMw7gzLTy23yU///HH39UVlytVovi4mLExcVh3759NNJII4000kijlcWPUM2gK1euyJkzZyQ7O1s6duwovr6+Ymdnp5wWLSLSrVs32b59u0RFRYlGoxG9Xi/r16+XpKQkGmmkkUYaaaTR2lJ7BGntJSQkwNfXFxEREXBwcEBYWBgmTpyI27dvAwBKSkoMlv/hhx+g0Wjg6emJ48eP00gjjTTSSCONVhgHcCqWm5uLsLAwTJs2Dbm5ucjPz8eiRYvQunVr9OjRA/n5+QCA0tJSAEBRURHGjh0LNzc3JCUl0UgjjTTSSCONVhoHcCp2/vx51K9fHwcPHlSmFRYWYuPGjYiIiMDLL7+snDKt1+tx4MABNGzYEEePHqWRRhpppJFGGq04DuBULDMzEw0bNsSnn35qML2kpASrV69Gy5YtERcXp0zPzc3FzZs3aaSRRhpppJFGK4+30lKxO3fuyIABA0Sr1cqXX34ptWrVUuYBkL59+4qNjY1s376dRhpppJFGGmlkf6bGqJH9ed2a1NRUuLu745VXXkF2drbB9Ww++ugjtGrVSrUrT9NII4000kijtRvNNRu1B5DWmkajkeLiYqlbt67s2LFDdu7cKSNHjpT4+HhlmVOnTknNmjWVm/PSSCONNNJII41MRIQfoaqUTqcTW1tbycnJEZ1OJ1lZWfLCCy9IzZo1Ra/XS926deWnn36SAwcOSGhoKI3/PwCi0WjM2qjX68XG5s/3RuZovDcaH76SkhKxt7c3+Hmbm7GyaHy0LOF3z73RWLXjHjgVKl9hL126JOHh4fLLL79ISEiIHDt2TMaMGSNt27aVsLAwOXr0qCorLAApLS01K6Nerzd7Y05OjoiI2NjYiE6nExHz+1n/8ccfkpGRYTDN3IyXL1+WrVu3yu3bt83WmJycLL169ZL09PQKgzdzMWq1WtHpdJKfny8iZa8hc3vN3Js5Gsv3cZQP3szRWFnmtj7emzn+Dre41Pv0tuqXlZWF1NTUSuelpaXB09MTo0aNgl6vV24TYupSU1OxatUqxMTE4Ndff0Vubq7ZGc+dO4eZM2di0KBBePvtt5GRkWF2xuTkZHh6emLKlCnKtPJrFpmL8dSpU9BoNPjiiy8qzDMXY3x8PPz8/PDGG2/g4sWLAP68hc7ly5fNwnjy5El4eHhAo9Hgu+++A2B+P+ukpCT06dMH7du3x7PPPouEhARlnrkYz507hyVLlmDMmDGIi4vD+fPnzdI4b948jBgxAh9//LFZGrmdsd44gHtCnTlzBnXr1sXQoUNx7ty5CvM3bdqEKVOmqHoT3oSEBAQEBKB79+4IDAxEkyZNsHz5cuh0OpSWlpqN0dvbG8OGDUPPnj3RunVrvPvuuwDKNpobNmzA5MmTVb+Z8caNG1GjRg20atUKkydPVqaXlJRg48aNmDJliqq/mE6dOgUXFxfMnDmz0vnr169X/Xm8fPkyateujWnTphlML78C+7p16zB58mTVn0cnJycsWrQIvXv3Rvv27ZV5er3eLF4zp0+fhqenJyZNmoQlS5agb9++6Nu3L4qKiqDT6ZSftZrPY2JiIjw9PREdHY0ePXqgU6dOqFmzpnI/S3N4XSclJcHDwwMDBgxAhw4d0K5dO/j4+Cg3VzcHI7cz1h0HcE+gjIwMtG3bFsHBwWjVqhXGjRtX4cVVVFSkkq6s1NRUNGjQAHPnzlUsr732GkJCQgyudq1mFy5cQGBgIObNm6dMGzx4sLKBL3/Bl3vVbMuWLWjcuDGWLl2K4OBggz1xOTk5KsrKfsnb29tj0aJFAMr2aP3888+IjY3Fnj17kJmZCUD95/Grr75Cly5dAJQZFyxYgOHDh2Pw4MFmccHOkydPwtHREbNnzwZQdiufOnXqYOvWrcoyar9mtFot+vTpg/HjxyvTPvnkE0RHR0On0+HWrVsAoOrGMj8/H126dMGMGTOUaQcPHoSLiwuqV6+OnTt3AlB3fSwpKcHAgQMxdOhQZVpycjJGjx4NBwcH/Pe//wWgrpHbGcZj4J5AiYmJUr16ddmwYYOMHDlSDh8+LMuXL5eUlBRlGQcHB9V8Op1OtmzZIi1btpRJkyYpZ/bMmDFDbt26pTjVNn7//ffSpUsXmT59unIciru7uyQlJUm3bt1k1KhREh8fL7a2tsp8tWrevLm0bNlSxowZI0OHDpXdu3fLvHnzZMyYMbJ9+3YpKSlRxaXT6WTdunVSWloq0dHRIlJ2M+gZM2bI7NmzZcyYMdKvXz85c+aM6s9jWlqaeHp6iojIs88+K4cOHRKdTid5eXnSunVr2bx5s4hUPB7SFGVnZ8uIESNk6tSp8tZbb4mISGhoqLi5ucnOnTuV5dR8zYiUXU8rNTVVIiIilGlXrlyRffv2SUREhERERMjXX3+t3ARcjbRarVy9elU6duyoTGvXrp107txZgoODpV+/fpKYmKjqGYd6vV4yMjKkQYMGyrSgoCB5//33ZfTo0fLyyy/L8ePHVX3NcDvDuAfuCVRQUKB8FAAA//73v9G8eXOMGzcOycnJyvTyd8FqfJQRFxeHFStWGEzLyMiAm5ubwe1MylPjHfv58+eRmJiofL148WI4OTlh8eLFmDVrFqKiohAUFIT09HST2+4tNzcXTZs2RVJSEm7duoWPPvoIXl5e0Gg0OHv2LAD13q2np6dj6NChcHV1RYsWLdCvXz+cOnUKhYWF2LFjB3r06IFevXrh//7v/1Txlff555+jdu3aWLNmDXr16mWw5zImJgZOTk64cOGCar5Dhw4pfy5/za5btw7Ozs44fPiwWiyDSktLERUVhZYtW+KHH37AjBkz4OzsjJUrV2Lbtm2IiYmBnZ2dqjf/zszMREREBJYtW6Z8PH7x4kXUrl0bW7ZsQadOnTBixAjodDpV9xSOGDEC7du3V26mXt6NGzfQv39/PPfcc8oeTTXSarVmv535/PPPzX47Y8lxAPeEundFjI2NVV5c5bu5ly5dWulxC6au3FpQUICgoCCcOnVKmffdd98pH7GpUbnt9u3b6Ny5s3LQOAD88ssv8PX1xZ49e1TSlVVcXIzi4mJ07twZJ06cAAAMGDAAbm5uaNCgAWbNmqWqDyjbaEZHRyMiIqLCOvfJJ5/Az88Ply5dUklX1sWLF/H8888jIiIC3bp1A/DnRicjIwMNGjTAli1b1CRWeF2fP38eYWFhWLp0KQB1NpL39sMPP6BPnz6IiopC3bp1sXLlSmWeVqtFo0aNFK9ajRkzBi1atEB0dDQ+/PBDuLq6YsKECQDK3qi1aNFCFdfdP98NGzYgPDwcK1asQEFBgcFyGzduRJ06dVR5zTxoHTOX7Uxlb1bNeTtjqdmpvQewKpSeni6HDx8We3t7qVWrlkRERCinnJefyj127FgREYmLi5Ply5dLXl6ebN68WV566SWTG/39/eWZZ55R5pVbNRqNAFA+WomJiZEvv/xSDh06ZHLj3c8jAHFxcZFdu3aJnZ2dct0tb29vqVmzpnh5eZnEdz+jvb29iIg0a9ZMkpOTZfny5XLgwAHZtm2bnDp1St59912xs7OTJUuWmNwYEBAgrVq1Ej8/P3nzzTfljz/+kHr16onIn+tmYGCguLu7m/SjjMqex/r160tkZKQsW7ZM7O3t5dq1a+Ln5yciIq6uruLh4SGOjo6qGGvXri0tW7Y0uA6YiMjTTz8tnTp1ko8//lgmTJgg7u7uJvPdayz/Wffs2VO6d+8u2dnZ0qFDBwkMDBSRsss2lJSUiIeHh/j7+6tiLP/d8+mnn8q8efPkyJEjcuHCBZk7d67Mnj1bRES8vLzEzs5OWT9N0e3bt8XV1VU0Go3yfQcNGiS7d++Wzz77TKpVqyb9+/dXfr6hoaFib2+vXKLFlEYbG5sK15os/1rt7Uy50dbWVkpLS8XOrmyIgbuuoaf2dqZKperwsQqUkJAAPz8/NG/eHP7+/vDx8cHcuXNx584dZZm734188sknsLe3h7u7O06ePGk2RqDsowEvLy8cO3YM//znP+Hk5IRjx46ZjfHed56zZ89GmzZtTHZT4/sZy2/vEhMTA41Gg3r16il74m7cuIHly5eb7KO/yowxMTEoLi6+72MmT56Mrl27Ij8/XzXjnDlzlPmLFy+Gj48PWrVqhYSEBJw9exYLFixA/fr1ceXKFdWM93td//HHHwgODsZbb71lEtuDjDExMQbG3r17Y/bs2cjOzkZRUREWLFiAunXr3veyE6Yw3rtHOi8vz+Dr6OhoDBw48IHrrDE7e/YsIiMjDS6vc/f3HjhwIMLDwzF9+nSkp6fjxo0bmDVrFoKCgnDjxg3VjPfuDb7796Ma25m/YgTU3c5UtTiAe4xyc3MREhKCqVOnorCwECkpKVi1ahWcnZ0xfPhwg2N4yo/nmDRpEjw9PXH69GmzM966dQthYWHo3r07nJycTHaczMMYAeDKlSuYOXMmPD09ER8fr7px2LBhKC4uxu3btxEdHV3hjElTfaz2v57Hu6+9BJRdf2n69Onw8vIyuE6YWsbBgwcrZ6StXLkSnTp1gkajQUhICOrXr4/ff/9ddWNl62NxcTEiIyPRo0cPkw06/qpx3rx5iIiIQEBAALp16wZ/f3+zeB6HDh2qGMs38vHx8Zg6dSrc3d0Njn19kqWmpiIoKAg1atRAx44d8dVXXynz7j47MiYmBq1bt4ZGo0GLFi3g6+trsufxQcZ7f7eotZ15GKNa25mqGAdwj1FmZiaCg4Oxf/9+g+l79uyBi4sLxo4dazD9wIED0Gg0Jn238TDGmzdvws/PD15eXgbHJ5iT8bfffsO4cePQrFkzszKOGjUKgLoH4T7M87h//35ER0ejUaNGJnuH/leM5c8jULaH69ChQzhz5gyuXbtmNsa7n8fyvXApKSkGB46rbXz11VeVaVu3bsWiRYvw0UcfKRdHNgfj3c9jbm4uVq9ejdDQUJOtj6WlpZg5cyZ69+6NrVu3YvDgwXj22WfvO4i7du0atm3bhr179yItLc1sjPcOkEy9nXlYY05OjirbmaoYB3CPUXp6OhwcHCpdUXfs2AF7e3t8/vnnBo8x1cd9j2qcP3++ctakuRr37t1rcDcGczHGxcWZ1HRvD/s87tq1y2QfST6M8bPPPjOp6d4e9nlUY9D+V4yxsbEmd93dwz6Pt2/fRnZ2tkmNCQkJiuH06dMYNGhQhcFH+ZmyavVXjPeug6bezjysce7cuSbfzlTFOIB7xMpXxnHjxqFNmzYGu4FLS0uh1+sxceJE9O3bF1qtVvklYMpf9g9jNNXxT1XdqNVqVdmgV8XnUY0zOqvaz7qgoEDZS2iuv3sKCgrM5vIR8fHxFfYg6XS6CnsR1ex+xgMHDijLqP183s+4d+9eVV1VLV7I9xErP6OmX79+Ym9vLytWrJDExEQREbG1tRWNRiM+Pj6SkZEhDg4Oytk4957FZi5GZ2dnk7mqstHBwcGkP+NHMVrK83j3WXbmajT3n7Wjo6NyJqe5/u5xdHRU5XmsrNDQUJk1a5YEBgbKp59+KmvXrpUpU6ZIZGSkZGdnq37B8AcZO3TooBjVfj7vZ+zUqZPcvHlTtYtIV7U4gHvMunbtKqNGjZLExERZunSpHDx4UJmXk5MjAQEBUlxcrKKQRmNFo3Gi0TjR+PjdPZDQ6XQCQBl81K1bV8aPHy/r1q2To0ePire3tyoDo6pm9PHxUeXNWZVM1f1/Ftbdu6XLP5bIycnBnTt3sH37dvTq1Qvu7u7o0qULunbtCjc3N5MfpEkjjTTSSONfN964caPSk2QGDBgAd3d3k53JWR6N7K/GAdz/6N5jCUpLS5UV9tKlSwZXOk9JScHGjRsxevRoLF682GQHadJII4000vhoxgYNGhicOKPX67F06VLY2NiY7IxYGtmjpAHM4EN9M+38+fMSGxsrN2/elICAAHn77beVeWlpadKuXTvp3bu3fPzxx8oxbjTSSCONNFqWMTY21uCjx5SUFNHpdNKkSRMaLcRojfGD6PuUmJgo7du3l7S0NBERiY2NlVmzZinzv/76a4mKipLY2FjVfjnRSCONNNL4+Ma7Bx16vV4aNWpkkkEHjexx4r1QK+nChQvy4osvysiRI+Wtt96SkpISqVGjhsEvotdff11FIY3GikbjRKNxotE4PY7RVAfY08geNz7DlbRmzRpp2bKlzJ8/X0RE7O3t5datW7Jnzx55/vnnZciQIZKcnCwiotpp5TTSSCONNNJo7UarTo0D78y9wsJC7Nu3T/n6nXfegUajwcyZM/HRRx+hUaNGaN26tSoXGqWRRhpppJFGGhkHcP+jtLQ0DB8+HLt27VKmXb58GTY2NtixY4eKsj+j0TjRaJxoNE40GicajZMlGK0tDuAAZGVl4ejRo/jxxx9RXFwMwPD+d3l5eQbLHzlyBGFhYSa9lxuNNNJII400WruR/ZnVn8SQmJgow4YNk6KiIsnJyRE/Pz85evSoODo6ik6nE1tbW3FzczN4zLfffiuurq7i4+NDI4000kgjjTQy06f2CFLNzp07B19fX8yZMwdJSUk4fPgwWrVqhVGjRlW6fHJyMubMmQN3d3fEx8fTSCONNNJII41Mlax2AFdQUIDhw4dj9OjRBtPnz5+PyMjICsufPXsW48ePR+PGjU12+xcaaaSRRhpptHYjqzyrvYyInZ2d1KhRQ0JCQgymd+7cWa5evSr5+flSUlKiTK9du7aMGjVKdu/eLWFhYTTSSCONNNJII1MvtUeQaqXX6yu98e6ePXvQoEEDFBcXK/d+u3nzpql5AGg0VjQaJxqNE43GiUbjZAlGVnlWtQcuLy9PsrKyJD09XTQajfj6+oqISGlpqbKMTqcTAGJvby8ajUamT58uPXv2lKKiIhpppJFGGmmkkZlH6owbTV9CQgJCQkIQHBwMBwcHjB071uB6NuUXIjx06BACAwMBAHPmzIGLiwsOHz5MI4000kgjjTQys8kqBnBXrlyBn58fXn/9dRw4cAAbNmxA27Zt0b59e6xatcpg2YMHDyI8PByTJ0+Gg4MDjh8/TiONNNJII400MrPKKgZw//nPfxAWFgatVqtM+/333/H3v/8drVq1wvr165XpO3fuhEajgYeHB06cOEEjjTTSSCONNDKzyyoGcNu2bYOfnx/OnTsHAMoBmYmJiXjllVfQq1cvpKSkAACuX7+Ol156CQkJCTTSSCONNNJIIzPLrGIAd+zYMXh5eSEuLg4ADG68e+jQIbi7u2PDhg3KvMLCQhpppJFGGmmkkZltVjGAA4A33ngDTk5O2L17NwCgtLRUmde9e/cKFzFUIxqNE43GiUbjRKNxotE4WYKR/bWq3L1QL1y4IJ999plcunRJmjZtKuPGjRM/Pz+JiYmR9PR06du3r2zevFleeOEF5TEApHbt2jTSSCONNNJII7OM1Bk3PpkSExPh5+eHfv36YdiwYahevToGDx6szM/Ozsb48eNhZ2eHCRMmYMGCBZg0aRLc3Nxw9uxZGmmkkUYaaaSRWURVZgCXnp6OZs2aYdq0acq0U6dOwdXVFXv27DFYdtWqVejduzciIiLQt29fk93PjUYaaaSRRhqt3ciMU5UZwK1ZswZdunRBeno6AKCkpAR5eXkIDg7Gzp07Kyx/+/Zt6HQ6g9OpaaSRRhpppJFGZglVmWPgIiMj5eLFi1KrVi0REbG1tRV3d3epVq2aXLt2rcLyLi4uIiLi7OxMI4000kgjjTQyi6rK3Au1Xr16snjxYhEpOxBTo9Eof9ZqtcpymzdvlmPHjtFII4000kgjjcxiqzIDuLvTaDTKTXmdnJzE3d1dRETmzZsngwYNEm9vbzV5IkKjsaLRONFonGg0TjQaJ0swskevSg7gRER516HX68XR0VHefPNN+eCDD+To0aNSv359lXVl0WicaDRONBonGo0TjcbJEozsETPd4Xbq1KVLFwQEBMDR0RHHjh1Tm1NpNBonGo0TjcaJRuNEo3GyBCN7uKrMSQz3BkCKiookJydHMjMzJTExUYKDg9VmGUSjcaLRONFonGg0TjQaJ0swskdLAwBqI55kZ8+eFQDStGlTtSn3jUbjRKNxotE40WicaDROlmBkD1eVH8AxxhhjjFW1quxJDIwxxhhjVTUO4BhjjDHGLCwO4BhjjDHGLCwO4BhjjDHGLCwO4BhjjDHGLCwO4BhjjDHGLCwO4BhjjDHGLCwO4BhjVbaFCxdKeHi4at//jTfekFdffVX5+rnnnpMpU6bcd/mioiKpU6eOnDhxwgQ6xpglxwEcY8wi02g0D/wvOjpapk+fLj///LMqvqysLPnwww8lJibmLz/G0dFRpk+fLrNmzXqCMsZYVajK3guVMVa1y8zMVP68efNmmT9/vpw7d06Z5uzsLK6uruLq6qoGT1atWiVt27aVunXrPtTjhgwZIjNmzJCzZ89KkyZNngyOMWbxcQ8cY8wi8/PzU/5zd3cXjUZTYdq9H6FGR0fLiy++KG+++ab4+vqKh4eHLFq0SEpLS2XGjBni5eUltWvXltWrVxt8r4yMDBk4cKB4enqKt7e3REVFyaVLlx7o27Rpk/Tt27fCdL1eLzNnzhQvLy/x8/OThQsXGsz39vaWdu3aycaNGx/1qWGMWUEcwDHGrKpffvlFrl69Kvv27ZP3339fFi5cKL179xZPT085cuSIjB07VsaOHStXrlwRERGtViudOnUSV1dX2bdvnxw4cEBcXV2lZ8+eUlxcXOn3yM3NldOnT0tERESFeWvXrhUXFxc5cuSILFu2TBYvXiw//fSTwTLPPPOM7N+/3/j/eMZYlYkDOMaYVeXl5SUrVqyQoKAgGTlypAQFBYlWq5WYmBhp2LChzJkzRxwcHOTgwYMiUrYnzcbGRlauXCnNmjWTJk2ayBdffCFpaWmyd+/eSr/H5cuXBYAEBARUmBcaGioLFiyQhg0byvDhwyUiIqLCcXq1atX6n3v4GGPWHY+BY4xZVcHBwWJj8+d7V19fXwkJCVG+trW1FW9vb7l+/bqIiJw4cUIuXLgg1atXN/h77ty5IxcvXqz0exQWFoqIiJOTU4V5oaGhBl/7+/sr36s8Z2dn0Wq1D/GvYoxZWxzAMcasKnt7e4OvNRpNpdP0er2IlB2z1rJlS1m/fn2Fv6tGjRqVfg8fHx8RKfso9d5lHvS9ysvJybnv380YYyIcwDHG2ANr0aKFbN68WWrWrClubm5/6TENGjQQNzc3OXPmjDRq1Oihv+fp06elefPmD/04xpj1xGPgGGPsAQ0ZMkR8fHwkKipK9u/fL6mpqfLrr7/K5MmTJT09vdLH2NjYSNeuXeXAgQOP9D33798v3bt3fxw2Y6yKxwEcY4w9oGrVqsm+ffukTp060q9fP2nSpImMHDlSCgsLH7hH7tVXX5VNmzZV+Hj0f3Xo0CG5deuW9O/f/3HpjLEqnAYA1EYwxlhVC4C0adNGpkyZIoMGDfrLjxswYIA0b978oe7gwBizvrgHjjHGnkAajUbi4uKktLT0Lz+mqKhIwsLCZOrUqU9QxhirCnEPHGOMMcaYhcU9cIwxxhhjFhYHcIwxxhhjFhYHcIwxxhhjFhYHcIwxxhhjFhYHcIwxxhhjFhYHcIwxxhhjFhYHcIwxxhhjFhYHcIwxxhhjFhYHcIwxxhhjFtb/A28a7J64oqhxAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax1 = plt.subplots()\n",
    "lineStyle = [\"-\", \"-.\", \"--\", \":\"]    \n",
    "patterns = [ \"/\" , \"\\\\\", \"*\" , \"+\" , \"-\", \"o\", \"O\", \"x\", \"*\", \"|\"]\n",
    "\n",
    "time_range = cost_monthly.index\n",
    "\n",
    "ax1.plot(time_range, np.array(cost_monthly[\"Cost_HP\"]), label=\"Cost HP\", color=\"#1B4F72\", linestyle=lineStyle[0], linewidth=3)\n",
    "\n",
    "ax1.plot(time_range, np.array(cost_monthly[\"Cost_Gas_Boiler\"]), label=\"Cost Gas Boiler\", color=\"#B8860B\", linestyle=lineStyle[0], linewidth=3)\n",
    "\n",
    "\n",
    "plt.xticks(rotation=45)  # Rotate labels to avoid overlap\n",
    "\n",
    "ax1.set_xlabel(\"Time (h)\")\n",
    "ax1.set_ylabel(\"Cost (p)\")\n",
    "\n",
    "\n",
    "# Collect handles and labels\n",
    "handles1, labels1 = ax1.get_legend_handles_labels()\n",
    "\n",
    "# Create a single legend\n",
    "ax1.legend(handles1, labels1, loc='lower center', bbox_to_anchor=(0.5, 1.05), ncol=2)\n",
    "\n",
    "plt.savefig(f\"./figures/cost_results_monthly.pdf\", bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "From\n",
       "2023-01-01 00:00:00    11251.756918\n",
       "2023-02-01 00:00:00     7788.410158\n",
       "2023-03-01 00:00:00     9988.376376\n",
       "2023-04-01 00:00:00     4006.300345\n",
       "2023-05-01 00:00:00     5236.398701\n",
       "2023-06-01 00:00:00     4074.747571\n",
       "2023-07-01 00:00:00     1706.223787\n",
       "2023-08-01 00:00:00      216.264079\n",
       "2023-09-01 00:00:00      684.289842\n",
       "2023-10-01 00:00:00      229.757994\n",
       "2023-11-01 00:00:00     -974.666020\n",
       "2023-12-01 00:00:00     2154.690952\n",
       "dtype: float64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cost_monthly[\"Cost_Gas_Boiler\"] - cost_monthly[\"Cost_HP\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Quarterly Cost Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>From</th>\n",
       "      <th>To</th>\n",
       "      <th>Cost_HP</th>\n",
       "      <th>Cost_Gas_Boiler</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023-01-01 00:00:00</td>\n",
       "      <td>2023-03-31 23:30:00</td>\n",
       "      <td>105086.918315</td>\n",
       "      <td>134069.934744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023-04-01 00:00:00</td>\n",
       "      <td>2023-06-30 23:30:00</td>\n",
       "      <td>64859.959664</td>\n",
       "      <td>78150.179379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023-07-01 00:00:00</td>\n",
       "      <td>2023-09-30 23:30:00</td>\n",
       "      <td>56715.889901</td>\n",
       "      <td>59299.355630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023-10-01 00:00:00</td>\n",
       "      <td>2023-12-31 23:30:00</td>\n",
       "      <td>69125.102387</td>\n",
       "      <td>70498.162409</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  From                   To        Cost_HP  Cost_Gas_Boiler\n",
       "0  2023-01-01 00:00:00  2023-03-31 23:30:00  105086.918315    134069.934744\n",
       "1  2023-04-01 00:00:00  2023-06-30 23:30:00   64859.959664     78150.179379\n",
       "2  2023-07-01 00:00:00  2023-09-30 23:30:00   56715.889901     59299.355630\n",
       "3  2023-10-01 00:00:00  2023-12-31 23:30:00   69125.102387     70498.162409"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cost_quarterly = pd.read_csv('cost_results_quarterly.csv')\n",
    "cost_quarterly.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>To</th>\n",
       "      <th>Cost_HP</th>\n",
       "      <th>Cost_Gas_Boiler</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>From</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-01-01 00:00:00</th>\n",
       "      <td>2023-03-31 23:30:00</td>\n",
       "      <td>105086.918315</td>\n",
       "      <td>134069.934744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-04-01 00:00:00</th>\n",
       "      <td>2023-06-30 23:30:00</td>\n",
       "      <td>64859.959664</td>\n",
       "      <td>78150.179379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-07-01 00:00:00</th>\n",
       "      <td>2023-09-30 23:30:00</td>\n",
       "      <td>56715.889901</td>\n",
       "      <td>59299.355630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-10-01 00:00:00</th>\n",
       "      <td>2023-12-31 23:30:00</td>\n",
       "      <td>69125.102387</td>\n",
       "      <td>70498.162409</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      To        Cost_HP  Cost_Gas_Boiler\n",
       "From                                                                    \n",
       "2023-01-01 00:00:00  2023-03-31 23:30:00  105086.918315    134069.934744\n",
       "2023-04-01 00:00:00  2023-06-30 23:30:00   64859.959664     78150.179379\n",
       "2023-07-01 00:00:00  2023-09-30 23:30:00   56715.889901     59299.355630\n",
       "2023-10-01 00:00:00  2023-12-31 23:30:00   69125.102387     70498.162409"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cost_quarterly.set_index('From', inplace=True)\n",
    "cost_quarterly.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax1 = plt.subplots()\n",
    "lineStyle = [\"-\", \"-.\", \"--\", \":\"]    \n",
    "patterns = [ \"/\" , \"\\\\\", \"*\" , \"+\" , \"-\", \"o\", \"O\", \"x\", \"*\", \"|\"]\n",
    "\n",
    "time_range = cost_quarterly.index\n",
    "\n",
    "ax1.plot(time_range, np.array(cost_quarterly[\"Cost_HP\"]), label=\"Cost HP\", color=\"#1B4F72\", linestyle=lineStyle[0], linewidth=3)\n",
    "\n",
    "ax1.plot(time_range, np.array(cost_quarterly[\"Cost_Gas_Boiler\"]), label=\"Cost Gas Boiler\", color=\"#B8860B\", linestyle=lineStyle[0], linewidth=3)\n",
    "\n",
    "\n",
    "plt.xticks(rotation=45)  # Rotate labels to avoid overlap\n",
    "\n",
    "ax1.set_xlabel(\"Time (h)\")\n",
    "ax1.set_ylabel(\"Cost (p)\")\n",
    "\n",
    "\n",
    "# Collect handles and labels\n",
    "handles1, labels1 = ax1.get_legend_handles_labels()\n",
    "\n",
    "# Create a single legend\n",
    "ax1.legend(handles1, labels1, loc='lower center', bbox_to_anchor=(0.5, 1.05), ncol=2)\n",
    "\n",
    "plt.savefig(f\"./figures/cost_results_quarterly.pdf\", bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "From\n",
       "2023-01-01 00:00:00    28983.016429\n",
       "2023-04-01 00:00:00    13290.219715\n",
       "2023-07-01 00:00:00     2583.465729\n",
       "2023-10-01 00:00:00     1373.060022\n",
       "dtype: float64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cost_quarterly[\"Cost_Gas_Boiler\"] - cost_quarterly[\"Cost_HP\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "SHEMS",
   "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": "3.10.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}