{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a7a06026-7f74-479e-95c3-db45be41d35a",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "# Forecasting Hello World!\n",
    "\n",
    "## Feng Li\n",
    "\n",
    "### Guanghua School of Management\n",
    "### Peking University\n",
    "\n",
    "### [feng.li@gsm.pku.edu.cn](feng.li@gsm.pku.edu.cn)\n",
    "### Course home page: [https://feng.li/forecasting-with-ai](https://feng.li/forecasting-with-ai)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05ec2f09-21a1-4dd2-a50e-494706aa0165",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "## Let's forecast"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "24016c0b-ec44-4f0e-8db9-f31549b182ea",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "- We will utilize an online AI forecasting platform Nixtla\n",
    "- https://dashboard.nixtla.io"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "82f5cea8-ac7e-4af3-ab4a-88ba358d4695",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Defaulting to user installation because normal site-packages is not writeable\n",
      "\u001b[33mWARNING: Skipping /usr/lib/python3.12/dist-packages/charset_normalizer-3.3.2.dist-info due to invalid metadata entry 'name'\u001b[0m\u001b[33m\n",
      "\u001b[0mLooking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n",
      "Collecting nixtla\n",
      "  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/a8/4d/ba5d2e326e80f543c7a037d9c06e2525475d9b4928aaf1b8e15c68c44d2f/nixtla-0.7.0-py3-none-any.whl (125 kB)\n",
      "\u001b[2K     \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m126.0/126.0 kB\u001b[0m \u001b[31m2.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\n",
      "\u001b[?25hRequirement already satisfied: annotated-types in /usr/local/lib/python3.12/dist-packages (from nixtla) (0.7.0)\n",
      "Requirement already satisfied: httpx[zstd] in /usr/local/lib/python3.12/dist-packages (from nixtla) (0.27.2)\n",
      "Collecting orjson (from nixtla)\n",
      "  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/a0/26/5f028c7d81ad2ebbf84414ba6d6c9cac03f22f5cd0d01eb40fb2d6a06b07/orjson-3.11.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (132 kB)\n",
      "\u001b[2K     \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m132.9/132.9 kB\u001b[0m \u001b[31m11.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25hRequirement already satisfied: pandas in /usr/lib/python3/dist-packages (from nixtla) (2.1.4+dfsg)\n",
      "Requirement already satisfied: pydantic>=1.10 in /usr/local/lib/python3.12/dist-packages (from nixtla) (2.9.2)\n",
      "Collecting tenacity (from nixtla)\n",
      "  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/e5/30/643397144bfbfec6f6ef821f36f33e57d35946c44a2352d3c9f0ae847619/tenacity-9.1.2-py3-none-any.whl (28 kB)\n",
      "Requirement already satisfied: tqdm in /usr/lib/python3/dist-packages (from nixtla) (0.0.0)\n",
      "Collecting utilsforecast>=0.2.8 (from nixtla)\n",
      "  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/75/9b/f6336ce71f4e6ed32877309314f549192cd6b982ad6d96fd8b1b5a230870/utilsforecast-0.2.12-py3-none-any.whl (42 kB)\n",
      "Requirement already satisfied: pydantic-core==2.23.4 in /usr/local/lib/python3.12/dist-packages (from pydantic>=1.10->nixtla) (2.23.4)\n",
      "Requirement already satisfied: typing-extensions>=4.6.1 in /usr/lib/python3/dist-packages (from pydantic>=1.10->nixtla) (4.10.0)\n",
      "Requirement already satisfied: numpy in /usr/lib/python3/dist-packages (from utilsforecast>=0.2.8->nixtla) (1.26.4)\n",
      "Requirement already satisfied: packaging in /usr/lib/python3/dist-packages (from utilsforecast>=0.2.8->nixtla) (24.0)\n",
      "Requirement already satisfied: anyio in /usr/local/lib/python3.12/dist-packages (from httpx[zstd]->nixtla) (4.5.0)\n",
      "Requirement already satisfied: certifi in /usr/lib/python3/dist-packages (from httpx[zstd]->nixtla) (2023.11.17)\n",
      "Requirement already satisfied: httpcore==1.* in /usr/local/lib/python3.12/dist-packages (from httpx[zstd]->nixtla) (1.0.5)\n",
      "Requirement already satisfied: idna in /usr/lib/python3/dist-packages (from httpx[zstd]->nixtla) (3.6)\n",
      "Requirement already satisfied: sniffio in /usr/local/lib/python3.12/dist-packages (from httpx[zstd]->nixtla) (1.3.1)\n",
      "Collecting zstandard>=0.18.0 (from httpx[zstd]->nixtla)\n",
      "  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/9a/c7/31674cb2168b741bbbe71ce37dd397c9c671e73349d88ad3bca9e9fae25b/zstandard-0.24.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (5.5 MB)\n",
      "\u001b[2K     \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m5.5/5.5 MB\u001b[0m \u001b[31m7.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0mm eta \u001b[36m0:00:01\u001b[0m0:01\u001b[0m:01\u001b[0m\n",
      "\u001b[?25hRequirement already satisfied: h11<0.15,>=0.13 in /usr/local/lib/python3.12/dist-packages (from httpcore==1.*->httpx[zstd]->nixtla) (0.14.0)\n",
      "\u001b[33mWARNING: Skipping /usr/lib/python3.12/dist-packages/charset_normalizer-3.3.2.dist-info due to invalid metadata entry 'name'\u001b[0m\u001b[33m\n",
      "\u001b[0mInstalling collected packages: zstandard, utilsforecast, tenacity, orjson, nixtla\n",
      "Successfully installed nixtla-0.7.0 orjson-3.11.3 tenacity-9.1.2 utilsforecast-0.2.12 zstandard-0.24.0\n"
     ]
    }
   ],
   "source": [
    "! pip install nixtla --break-system-packages"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82d161da-dfe9-4b7e-8a38-ce60d2c49fdf",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "### Load the Nixtla API"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d668671e",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from nixtla import NixtlaClient\n",
    "\n",
    "nixtla_client = NixtlaClient(\n",
    "    api_key='ASK-TA-FOR-API'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "221a3da9",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:nixtla.nixtla_client:Happy Forecasting! :)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nixtla_client.validate_api_key()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "0f56d583",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "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>unique_id</th>\n",
       "      <th>ds</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>D1</td>\n",
       "      <td>1/1/1949</td>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>D1</td>\n",
       "      <td>2/1/1949</td>\n",
       "      <td>118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>D1</td>\n",
       "      <td>3/1/1949</td>\n",
       "      <td>132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>D1</td>\n",
       "      <td>4/1/1949</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>D1</td>\n",
       "      <td>5/1/1949</td>\n",
       "      <td>121</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  unique_id        ds    y\n",
       "0        D1  1/1/1949  112\n",
       "1        D1  2/1/1949  118\n",
       "2        D1  3/1/1949  132\n",
       "3        D1  4/1/1949  129\n",
       "4        D1  5/1/1949  121"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "df = pd.read_csv('../data/air_passengers_with_id.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4bc7bb2e",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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MmUL58uWZPn06jz32GPHx8UyaNIlffvmFsLAwAKZNm0alSpVYvnw5nTt3LtCvSUREREREREREREQKv927TwBQr14V7O3tbnt91y4N+Gz8Ai5dSiI6+hJ+ft5WTih3M3t7ezXJALf/zrKi+fPn07hxY/r370+5cuVo0KABP/zwQ87rkZGRxMTE0KlTp5znnJ2dadOmDRs3bgRgx44dZGRkXHONn58fwcHBOdf8V1paGgkJCdc8RERERERERERERKT42JN9HlQ9/1xd7+zsSI0avgCEh5+yUiqRosWmRajjx48zceJEatSowZIlS3j88cd59tlnmTp1KgAxMTEAlC9/bStk+fLlc16LiYnBycmJUqVK3fSa/xo7diyenp45j0qVKln6SxMRERERERERERGRQspoNLJn7wkA6te/8XlQNxIcZH4vOfzAaWvEEilybFqEMhqNNGzYkA8++IAGDRrw2GOPMXLkSCZOnHjNdf+drWkymW47b/NW17z22mvEx8fnPE6f1m8YIiIiIiIiIiIiIsXFyZMXiI9PxtnZkdq1/HJ9X1BQZQD279d7yiK5YdMilK+vL4GBgdc8V6dOHU6dMrcy+vj4AFzX0XT+/Pmc7igfHx/S09O5dOnSTa/5L2dnZzw8PK55iIiIiIiIiIiIiEjxsPvqKL6goEo4Ojrk+r66weYi1JEjZ0lLy7BGNJEixaZFqNDQUA4fPnzNc0eOHKFKlSoABAQE4OPjw7Jly3JeT09PZ82aNbRs2RKARo0a4ejoeM010dHRhIeH51wjIiIiIiIiIiIiIpIt+zyo+iH+ebrPx8cLb293srKMHD581vLBRIoYmxahnn/+eTZv3swHH3zA0aNHmT59Ot9//z1PPfUUYB7DN2rUKD744APmzp1LeHg4w4cPx83NjQceeAAAT09PHn74YUaPHs2KFSvYtWsXQ4YMoW7duoSFhdnyyxMRERERERERERGRQsZkMuV0QuW1CGUwGAi+OpIvPPyUhZOJFD257zO0giZNmjB37lxee+013n33XQICAvj8888ZPHhwzjUvv/wyKSkpPPnkk1y6dIlmzZqxdOlSSpYsmXPN+PHjcXBwYMCAAaSkpNChQwcmT56Mvb29Lb4sERERERERERERESmkYmIuc/58PPb2djlnPOVFUFAl1q47QPgBFaFEbsdgMplMtg5hawkJCXh6ehIfH6/zoURERERERERERESKsEWLdvLe/80mKLASP3z/RJ7v37U7kqee/oEyZTyYN/cVDAaDFVKKpej9f9uy6Tg+EREREREREREREZGCtHvvCQDq1/e/o/tr16qAvb0dFy8mcP58vOWCiRRBKkKJiIiIiIiIiIiISLGxZ/cJAELq+d/R/a6uTlSv5gPoXCiR21ERSkRERERERERERESKhdjYRE6dvojBYKDeHRahwHwuFED4gdMWSiZSNKkIJSIiIiIiIiIiIiLFwp6ro/iqVS2Ph4frHa8THFwZUCeUyO2oCCUiIiIiIiIiIiIixcLuPScACAnxz9c6wUHmItSRI2dJT8/MZyqRoktFKBEREREREREREREpFvZcLULVz2cRqkIFb7y83MjIyOLIkbP5DyZSRKkIJSIiIiIiIiIiIiJFXmJiCkePxgD574QyGAwEBZq7ofbrXCiRm1IRSkRERERERERERESKvH3hpzCZTFSsWJoyZTzyvV5QUCUAwvfrXCiRm1ERSkRERERERERERESKvN27IwEIqedvkfWCg82dUOHh6oQSuRkVoURERERERERERESkyNuz9wQA9ev7W2S9OnUqYmdn4Ny5y1y4mGCRNUWKGhWhRERERERERERERCzsSMRZVq7ah8lksnUUAVJT0zl4MArI/3lQ2Uq4OVM1oDwA+zWST+SGVIQSERERERERERERsZCjR6N57fVpDH9oAm++9Rtr1u63dSQB9h84TWZmFmXKeFDBz9ti62afC7V/v0byidyIilAiIiIiIiIiIiIi+RQZeY4335rO0OFfsWbtgZznd+w4bsNUkm3PnhMA1A/xx2AwWGzdf86FUieUyI042DqAiIiIiIiIiIiIyN3q5KkL/PzzSpYt35szeq9D+7pUq+bD9z8sY5+KE4XC7t0nAMuN4suW3Ql18FAUmZlZODjYW3R9kbudilAiIiIiIiIiIiIieXQmKpbJk1exeMkujEZz8altmyAeHtGBatV8OH8+nu9/WMbRo9EkJ6fh5uZs48TFV2ZmFuFXz2yqX9/fomtXrlSGkiVdSUxMIeJoNHVqV7To+iJ3OxWhRERERERERERERHIpPj6ZbyYu5u9FO8nKMgLQKrQ2Dz8cRq2afjnXlSvnSflynpw7H8/BQ2do1LCarSIXe4cPnyU1NYOSJV0J8C9n0bXt7OwICqzE5i1H2L//tIpQIv+hM6FEREREREREREREcunTz+az4K/tZGUZadG8Jj/+8CTjPhp6TQEqW3Bd83lB+/ZpJJ8tZZ8HFRLij52d5d8SDw42j+TTuVAi11MnlIiIiIiIiIiIiEguZGZmsXHTYQA+HDuEe1oH3vL64KDKrFixT+dC2djuPZEA1K/nb5X1g4LMxcbw/aetsr7I3UydUCIiIiIiIiIiIiK5EL7/FMnJaXh6utEqtPZtr69btwoA+/efwmg0Wjue3IDRaGTP3pOA5c+DyhYUWAmDwcDZs3HEXbpilT1E7lYqQomIiIiIiIiIiIjkwtatRwFo0rh6rsa61azhi7OzIwkJKZw6fdHa8eQGIiPPk5iYgouLIzVvMDLREtzdXfCvUhaA/eqGErmGilAiIiIiIiIiIiIiubB1awQAzZrVyNX1Dg721K5dAYDwcBUnbGH31fOg6gZXwcHB3mr7BAebR/Lt36/RiyL/piKUiIiIiIiIiIiIyG3Exydz8FAUAE2bVM/1fXWvFif2hZ+0Si65tZzzoKw0ii9bUFAlAMJ1/pfINVSEEhEREREREREREbmN7duPYjKZqFq1PGXLeub6vuxzocL3qThR0LKyjOzceRyAkHr+Vt0rOMhcbDx4KIrMzCyr7iVyN1ERSkREREREREREROQ2tlwdxde0Se5G8WXL7pCJPGE+m0gKzq7dkVy6lETJkq7UrVvZqnv5+5elRAlnUlLSOR55zqp7idxNVIQSERERERERERERuQWTycTWbUeB3J8Hlc27lDsVK5YGYP9+nQtVkJYv3wtA27ZBODo6WHUvOzs7AgPNBUf9PIv8Q0UoERERERERERERkVs4ceI858/H4+TkQP0Q/zzfr3OhCl5mZhar14QD0LFDvQLZM1jnQolcR0UoERERERERERERkVvI7oIKCfHH2dkxz/cHXy1ChYerQ6agbNt2lISEFLy93WnQoGqB7Bl09VwodUKJ/ENFKBEREREREREREZFb2LLFfB5Us6Z5G8WXLbsTav/+U2RlGS2WS25u+QrzKL727YKxty+Yt8GDro7jO3X6IvHxyQWyp0hhpyKUiIiIiIiIiIiIyE2kpWWwa3ckcOdFqICA8ri5OZOcks7x4+csGU9uIC0tgzVrDwAQ1iGkwPb19HSjcqUyAOw/oG4oEVARSkREREREREREROSm9u07SVpaBmVKl6Rq1fJ3tIa9vV1Ol0z4fp0XZG2bNx8hOTmNcuU8CQ6uVKB7/zN6UT/PIqAilIiIiIiIiIiIiMhNbdlqHsXXtGkNDAbDHa9Tt665OLFvn4oT1rZ8pXkUX4f2dbGzK9i3wIOCzEUvnQslYqYilIiIiIiIiIiIiMhNbN16FDAXofIjp0NGnVBWlZKSzoYNhwAIC6tX4PsHB109/+vAaZ3/JYKKUCIiIiIiIiIiIiI3FBubSMTRaAwGA00aV8vXWtnj+M6ciSXu0hVLxJMbWL/hIKmpGVSo4E3tWhUKfP+AgHK4ujqRnJzGiZPnC3x/kcJGRSgRERERERERERGRG9i6zdwFVaumH6VKuedrrZIlXQkIKAfovCBrWr7CPIovrEO9fI1PvFMODvbUqVMR0Eg+EVARSkREREREREREROSG/jkPqrpF1ssZyacilFUkJqawefMRwDaj+LIFXz0Xau/ekzbLIFJY2LQINWbMGAwGwzUPHx+fnNdNJhNjxozBz88PV1dX2rZty/79+69ZIy0tjWeeeYYyZcpQokQJevbsyZkzZwr6SxEREREREREREbkjJpOJ5Sv28uOk5TpDphAxGo1s23a1CNUkf+dBZasbXAWAfSpCWcXadQfIyMgiwL8c1ar63P4GK2nSxFy0XL06nMTEFJvlECkMbN4JFRQURHR0dM5j3759Oa+NGzeOzz77jAkTJrBt2zZ8fHzo2LEjiYmJOdeMGjWKuXPnMmPGDNavX8+VK1fo0aMHWVlZtvhyREREREREREREci065hKjX5zC/96ewU8/r2Tr1c4bsb2IozFcupSEq6sTdetWtsia2escPHiGjIxMi6wp/1ixwvzesi27oAAaNqhK1arlSU5JZ8GC7TbNImJrNi9COTg44OPjk/MoW7YsYP4EyOeff84bb7xBnz59CA4OZsqUKSQnJzN9+nQA4uPjmTRpEp9++ilhYWE0aNCAadOmsW/fPpYvX27LL0tEREREREREROSmjEYjf/yxiQcf/ILNW47kPB++Xx0yhUV2QbBhg6o4OjpYZM3Klcrg4eFKenomEUdjLLKmmF2+nMS27eYzvDq0t20RymAwMGhgKwB+n72RzEw1TEjxZfMiVEREBH5+fgQEBDBo0CCOHz8OQGRkJDExMXTq1CnnWmdnZ9q0acPGjRsB2LFjBxkZGddc4+fnR3BwcM41N5KWlkZCQsI1DxERERERERERkYJw4uR5nnzqBz4dv4DklHRC6lVh4MBQAPYf0DEThcXWq6P4mjWzzCg+MBcnss+F2rdP5wVZ0urV4WRlGalV04/KlcvYOg6dOobg7e3OufPxrFodbus4IjZj0yJUs2bNmDp1KkuWLOGHH34gJiaGli1bEhsbS0yM+ZMA5cuXv+ae8uXL57wWExODk5MTpUqVuuk1NzJ27Fg8PT1zHpUqVbLwVyYiIiIiIiIiInKtzMwspkxdzbDhX7F330ncXJ0Y/UJPvp4wks4d6wNw8MBpTCaTbYMKKSnp7N1rLhJZ6jyobNnnQoXrXCiLWr5iL2D7UXzZnJwc6NunOQC/zViv72sptmxahOratSt9+/albt26hIWFsXDhQgCmTJmSc43BYLjmHpPJdN1z/3W7a1577TXi4+NzHqdPn87HVyEiIiIiIiIiInJrhw5F8fAj3/Dd90vJyMiiRfOaTPtlFH37NMfOzo7q1X1wcnIg8Uoqp0/H2jpusbdrdyQZGVn4+paiUqXSFl07ONj8gXgVoSznwsUEdu0+AUD79nVtG+Zfet3XFCcnBw4disopaooUNzYfx/dvJUqUoG7dukRERODj4wNwXUfT+fPnc7qjfHx8SE9P59KlSze95kacnZ3x8PC45iEiIiIiIiIiImJpaWkZfP3NYkY+NpGIo9F4errxv7f688nHw/Dx8cq5zsHBnpo1/QDYf0AfmLa1LVfP6WrapPptPxCfV3VqV8Te3o5z5+M5d+6yRdcurlatCsdkMhEcXBlfn1K3v6GAlCrlTpfODQCYMXO9jdOI2EahKkKlpaVx8OBBfH19CQgIwMfHh2XLluW8np6ezpo1a2jZsiUAjRo1wtHR8ZproqOjCQ8Pz7lGRERERERERETEVt57/3d+nb6WrCwjYR3q8eu0UXTp3OCGhY2gQHOHzAEVoWxu67ajgGXPg8rm5uZM9WrmD+CrG8oyckbxdSgco/j+beAA8/vUa9cd5EyUuhyl+LFpEerFF19kzZo1REZGsmXLFvr160dCQgLDhg3DYDAwatQoPvjgA+bOnUt4eDjDhw/Hzc2NBx54AABPT08efvhhRo8ezYoVK9i1axdDhgzJGe8nIiIiIiIiIiJiKxcuJrB6zX4Axv7fYN59ZxDepdxven1gYEVAnVC2FhNzmZMnL2BnZ6BRw2pW2SM4uDIA4fv1c51f0dGXCA8/hcFgoH27YFvHuU5AQHlaNK+JyWRi1u8bbR1HpMDZtAh15swZ7r//fmrVqkWfPn1wcnJi8+bNVKliPpzv5ZdfZtSoUTz55JM0btyYqKgoli5dSsmSJXPWGD9+PL169WLAgAGEhobi5ubGggULsLe3t9WXJSIiIiIiIiIiwpIluzEaTdSrW4U2bYJue312J9TRozGkpWVYO57cxNZtEQAEBlaiZElXq+xR92oRat8+nROUXytW7gOgQYMAypQpnMeuDBrYCoCFC3eQkJBi4zQiBcvBlpvPmDHjlq8bDAbGjBnDmDFjbnqNi4sLX331FV999ZWF04mIiIiIiIiIiNwZk8nE34t2ANCtW8Nc3ePrWwovrxJcvpxERER0TreMFKwtW8xFqGZNLT+KL1vduuYP4R+JiCYtLQNnZ0er7VXUFeZRfNkaN65GtWo+HDsWw/wF2xgy+B5bRxIpMIXqTCgREREREREREZGi4ODBM5w4cQFnZ0fat6ubq3sMBoNG8tlYVpaR7dvN50E1tWIRysfHi9KlS5KZmcWhQ1FW26eoO3XqIkeOnMXe3o62ueg2tBWDwcCggaEA/D57I5mZWTZOJFJwVIQSERERERERERGxsL8X7QSgzT2BuLu75Pq+7JF8B1SEsolDh6JIvJJKSXcX6tSuYLV9DAbDPyP5wk9ZbZ+ibsVKcxdUk8bV8fIqYeM0t9YxLARvb3cuXEhg5dURgiLFgYpQIiIiIiIiIiIiFpSensmy5eY3x3M7ii9bYHYR6uAZi+eS29uy9QgAjRpXw8HBumfOZ49bDFcR6o6YTCaWLd8DQFhY4R3Fl83JyYG+fZoDMGPWBkwmk40TiRQMFaFEREREREREREQsaP2GgyQmplCunCeNGlbL072Bdczj+KKi4rh8Ocka8eQWtm41j+Jr1rSm1ff6pxPqpAoSd+D48XOcOHEBR0d77mkdaOs4udK7VzOcnBw4dCiKPXtP2DqOSIFQEUpERERERERERMSCskfxdelcH3v7vL39VrKkK5UrlwHUDVXQrlxJzTmLq2nT6lbfr2ZNPxwd7bl0KYmos3FW36+oWbJ0NwAtmtfK08hLW/LyKkG3rubuyBkzNtg4jUjBUBFKRERERERERETEQmJjE9myJQKArl3zNoovW2AdnQtlCxs2HiIry0jlSmXw9Sll9f2cnR2pWdMP0Ei+vIiMPMdrr09j2q9rAejQoa6NE+XNgAEtAVi3/iBnzsTaOI2I9akIJSIiIiIiIiJyF8nKMhJ36Qqpqem2jiI3sGTpbrKyjAQFVaJK5bJ3tEZQoHkk3/79KkIVpLlztwDQsWNIge1ZN7gKAPv2qQh1O9HRl3jv/d95cNiXrFl7ADs7A/f1bEL7dndXEcq/SjlatKiFyWRi1u/qhpKiz8HWAURERERERERExCw5OY1Dh6KIjUskLu4KsbHm/42Lu5Lz3KVLVzAaTXh4uDL91+fxLuVu69hylclkyhnF1/0Ou6AAAoOudkIdPIPJZMJgMFgkn9xcREQ0e/edxN7ejvt6NimwfevWrcyMmeqEupXY2ESmTF3Fn/O2kZmZBUDbNkGMfCSMgIDyNk53Z+4fGMqmTYf5a+EOHnm4Ix4erraOJGI1KkKJiIiIiIiIiBQCRqORp57+gcNHzubq+oSEFFau3Ee/vi2snExy68iRsxw/fg4nJwc6dKh3x+tUr+aDk5MDiYkpnDkTS6VKZSyYUm5kztzNgLm4UaaMR4HtGxxcGYBjx2NISk6jhJtzge1d2CUkpDD9t7XM+n0jqakZADRpUp3HHu1EYJ2KNk6XP40aVaN6NR+OHoth3vytPDikja0jiViNilAiIiIiIiIiIoXA2nUHOHzkLE5ODgQHVcLbuyTe3u54e5ekdGl3SnuXpJS3O6W93Vm6dA8TvlnEihV7VYQqRBZe7YJq3boOJUveeWeDo6MDNWr4sn//afYfOK0ilJVduZLKkqW7AejTu1mB7l22jAc+Pl7ExFxm754TtGhRq0D3L4wyM7OY/tt6fv11DYlXUgEICqzE4493olHDajZOZxkGg4FBg1rx/v/N5vfZmxg0MBRHR71VL0WTfmWLiIiIiIiIiNiYyWRi8pTVANw/qBWPPdrpltd37FiPrycuZs/ek5w7d5ny5b2sH1JuKSMjk2XL9gDQvWujfK8XFFiJ/ftPc+DAabp0bpDv9eTm/l60k9TUDAICylG/fkCB79+yRS3mzN3CkqW7VYQCJk9ZxU8/rwQgIKAcjz3aidat6hS5sZRhHeox8dslXLyYwIaNh2jbJtjWkUSsws7WAUREREREREREiruNmw5z5MhZXF2dGDgg9LbXly3rSUhIFQBWrNxn7XiSCxs3HiY+PpkypUvSpEn1fK8XGHj1XKgDZ/K9ltycyWTKGcXXp3dzmxQ6ul09P2zN2gNcudr5U1xdvpzEjBnrAXj6qa5Mnfws97QOLHIFKAAnJwc6dQwBYN26gzZOI2I9KkKJiIiIiIiIiNiQyWRi8uRVAPTu1QwvrxK5ui/s6plDy1fstVo2yb3sUXydOzfA3j7/b7kFXS1CRRyNJj09M9/ryY3t2HGMU6cu4ubqRJcutuk4q1OnIv7+ZUlLy2DlquJdVP51+jqSU9KpWdOPQQNDLfK9VJi1alUHMH8QITMzy8ZpRKyjaH8Xi4iIiIiIiIgUctu3H2P/gdM4OTlw/6BWub6vbdtg7O3tOHQoijNnYq2YUG4n7tIVNm06DEC3rpYpZPj5lcLLy42MjCwiIqItsqZcb87cLQB06dKAEm7ONslgMBjodnWE46KrxcziKDY2kdl/bAJg5CNh2NkV/beu6wZXxsPDlfj4ZML3n7J1HBGrKPrfySIiIiIiIiIihdjkKeYuqJ49m1C6dMlc3+ddyp1GjaoB6oaytWXL9pCVZaROnYoEBJS3yJoGg4E6dczdUPsPnLbImnKt8+fjWbfePAatT+/mNs3SuXN97OwM7Nl7stgWlaf+spq0tAyCAivRspicjeXgYE/LFrUBWL/+kI3TiFiHilAiIiIiIiIiIjaye08ku3ZH4uhoz5AH7snz/dkj+XQulG39/be5eyX7bB9LCQqsCMCBgzoXyhrmzd9KVpaRBvUDqFrVMsXDO1W2jAdNm9QA4O9i2A117txl/py3FYBHR3YskmdA3UyrVtlFKJ0LJUWTilAiIiIiIiIiIjYyecpqALp3a0S5cp55vv+e1oE4ONhz7FgMx4+fs3A6yY0jEWeJOBqNo6M9HcPqWXTtwKvnQh1QJ5TFZWRkMn/BdgD69G5m4zRmXa+Ocly0eBdGo9HGaQrWlKmrycjIokH9ABo3rmbrOAWqWbOaODrac+r0RU6eumDrOCIWpyKUiIiIiIiIiIgNHDhwmq1bI7C3t2PI4Lx3QQF4eLjSvJm5e2LFSo3ks4VFi3YB0Cq0Dh4ebhZdO/DqOL4zZ2KJj0+26NrF3Zq1B4iNTaR06ZK0aRNk6ziAuajs7u7CuXOX2bkr0tZxCkxUVBwL/jIXBEeODCtWXVAAJdycadigKqBuKCmaVIQSEREREREREbGB7LOgOneuj5+f9x2vkz2Sb/nyvZhMJotkk9zJzMxiydLdAHTrZtlRfGAuMlauVAZQN5SlzZm7GYD7ejbBwcHexmnMnJ0dc76fFxWjkXw/T15JVpaRpk1rUD8kwNZxbKJVqzqAilBSNKkIJSIiIiIiIiJSwI5EnGX9hkPY2RkYOqRtvtZq1aoOzs6OnD4Ty5EjZy0TUHJl0+YjXL6chLe3O82a1rDKHnWungu1X0Uoizl2LIbdu09gb2/HfT2b2DrONbpePVds1epwkpLTbJzG+k6eusDiJeZuwkcfCbNxGtsJbWk+F2pf+CkuXbpi4zQilqUilIiIiIiIiIhIAZty9SyoDu3rUrlymXyt5ebmTGjLWgAsX6GRfAXp7793ANC5U32rddMEXT0X6uDBM1ZZvziaM3cLAK1b16Fs2byfxWZNwUGVqFypDKmpGaxaFW7rOFY3adIKjEYTrVrVyTkDrTjy8fGiRg1fjEYTmzYfsXUcEYtSEUpEREREREREpABFRp5j9Zr9AAwd2tYia3bIHsm3Yp9G8hWQy5eT2LDxMADdulp+FF+27DfmDxw8o59bC0hKSmXJ1c6bPr2b2zjN9QwGQ85ox6I+ku/o0eicwvnIh4tvF1S21hrJJ0WUilAiIiIiIiIiIgVoyi9rMJlMtG0TRLWqPhZZs2WLWri5OnHu3GXC92tsW0FYuWofmZlZ1KrpR7Vqlvl5vJEa1X1wdLQnPj6ZqKg4q+1TXCxevIvklHSqVClLo4ZVbR3nhrp0boDBYGDX7kjOni26P+c/TloBQPt2wdSo4WvjNLbXKtRchNqyNYK0tIw7WiMiIhqj0WjJWCL5piKUiIiIiIiIiEgBOX36IsuX7wFgmIW6oACcnR1pfU8gQM76Yl0bNhwCoH37ulbdx9HRgZo1/ACdC5VfJpMpZxRfn97NMBgMNk50Y+XKedK4cTUAFi3eZeM01nHoUBRr1x3Azs7AI+qCAqBWLT/KlPEgJSWdXbsi83x/bGwiIx+byINDv9S5UlKoqAglIiIiIiIiIlJApv6yBqPRRMuWtahVq4JF1w67OpJv5apwsrL0SXhrSklJZ8fO4wCEtqxt9f0CAysCcEBFqHzZtSuSyBPncXV1omsX641QtITuXf8ZyVcUO1t++HEZAJ061sffv5yN0xQOBoOB1q3Mv5+su4ORfL9OX0d6eiYl3F3w8iph6Xgid8whNxc1bJi335QNBgPz58+nQgXL/mVKRERERERERORuFR19icVXz6IZPrSdxddv2qQ6JUu6EhubyO49kTRqWM3ie4jZ1m1HSU/PxM+3FAEB1n8DPSiwEr+ziQMHzlh9r6JsztzNAHTuVB93dxcbp7m1e+4JxM3NmbPRl9iz5wQNGhTO0YF3Yu/ek2zafAR7eztGjGhv6ziFSqvQOsz9cyvrNxzkxdE9c92tFxeXyNw/zV1+Ix5qX2i7/KR4ylURavfu3YwePRp3d/fbXmsymfjwww9JS0vLdzgRERERERERkaJi2q9ryMoy0qRxdYKDK1t8fUdHB9q2CWLBX9tZvnyvilBWtGGDuUshNLR2gbzZGxhUCYAjEWdJT8/EySlXb+nJv1y4mMCatQcA8yi+ws7FxYkOHeqyYMF2/l60q0gVob6/2gXVrVtDKlYobeM0hUvDhlVxdXXiwoUEjhw5m+uO2V+nryMtLYOgoEo0a1rDyilF8ibXf2K99NJLlCuXu092fPrpp3ccSERERERERESkqLlwIZ6/Fu4AYPiwtlbbJ6xDPRb8tZ3Va/Yz+oWeODjYW22v4spoNLJx02HA3LVQECr4eePp6UZ8fDJHj0YTGFipQPYtSubP30ZWlpGQelWoXt3X1nFypVuXhixYsJ2Vq/bx/KgeuLk52zpSvm3fcYydO4/j6GjPQ8PUBfVfzs6ONGtag9Vr9rNu/cFcFaHi4hJzzjp7+KEO6oKSQidXZ0JFRkZStmzZXC964MABqlSpcsehRERERERERESKkrl/biUjI4uQEH+rdjQ0aBBAqVIliI9PZvv2Y1bbpzg7eDCKuLgrlCjhTP36/gWyp8FgILDO1XOhDmokX15lZmYxb/42AHr3bm7jNLlXr14VKlTwJiUlnTVr9ts6Tr6ZTKacs6Du69kEHx8v2wYqpFq1Mhe31284lKvrp/+23twFFViJZs3UBSWFT66KUFWqVMlTBbVSpUrY2+uTNiIiIiIiIiIiAKtWhwPQ676mVt3HwcGe9u3qArB8xV6r7lVcbdhofmO4WdMaODoW3Fi87O6n/QdOF9ieRYHJZOLLCX9z8WICpUqVoF3bIFtHyjWDwUC3rg0B+HvxTptkMJlMJCVb5tiVtWsPsG/fKZycHBj6YFuLrFkUtWheEzs7A0eOnOXcucu3vDbu0hX+mGM+60xnQUlhlasi1L/5+/vz7rvvcurUKWvkEREREREREREpUk6cOM/JkxdwcLAntGVtq+8X1qEeAGvW7ictLcPq+xU3G652JxTEz+W/BV0tQh3YryJUXsyctYHZszcBMPr5ngVaOLSELl0aALBjx3GiYy4V6N6790Qy8tGJdO7ybk4n2Z26cDGBD8fNBWDQwFDKlPGwRMQiqVQpd+pePTfwdt1Qv/1mPguqTp2KNG9esyDiieRZnotQo0ePZt68eVStWpWOHTsyY8YM0tIsUw0XERERERERkdy7eDGBY8djMJlMto4it5DdBdWkSXXc3V2svl/dupUpW9aDpKQ0Nm+JsPp+xUlMzGUijkZjZ2egRYtaBbp3YKB5HN/pM7EkJCQX6N53q1Wrw/lqwiIAnnqyC+3b17Vxorzz9SlFo0bmEZ6LF+8qkD1PnbrIa69P48mnfuDAwTMYjSY++XQeO3be2YhPo9HIe+/9Tnx8MjVr+jHioQ4WTlz05IzkW3/wptf8uwvq4RE6C0oKrzwXoZ555hl27NjBjh07CAwM5Nlnn8XX15enn36anTtt0xYqIiIiIiIiUtwkJaUy4uGveXDolwx+8HN+mbaGCxfibR1LbmDN2gMAtG1TMGPA7Ozs6NDe3A21QiP5LCp7FF9wUGW8vEoU6N4eHm5UqlgagAMHdC7U7ewLP8U7787CZDLRu1czHri/ta0j3bFuXRsB8PeinVb90MHly0l89vkCBj/4OWvWHsDOzkCv+5rSvl0wWVlGXn9jOmfOxOZ53em/rWf7jmO4uDjyzpiBODndXd1otpBdhNqx8zhJSak3vOa339aTmppB7doVaKEuKCnE8lyEyhYSEsIXX3xBVFQUb7/9Nj/++CNNmjQhJCSEn376SZ/CEhEREREREbGi6b+t42JsIgAnTlxg4rdL6N13HKNe+JklS3eTmppu44QCEBUVx5EjZ7GzM9D66puKBSEszFyEWr/hICkp+rVgKTmj+EILdhRftjrZI/kOaiTfrZw5E8srr04lPT2Tli1r8fyoHnd1l0jbNkG4uToRFRXH3r0nLb5+WloGv05fy4BBnzJ79iaysoy0aFGLqZOf5eWXevHWm/0JrFORxMQUXnplKleu3LgociMHDp7hu++XAvD8qHupUrmsxfMXRVUql6VSxdJkZmaxZev1Ha2XLl3hjznmMZPqgpLC7o6LUBkZGcyaNYuePXsyevRoGjduzI8//siAAQN44403GDx4sCVzioiIiIiIiMhVsbGJ/DZjPQBvvN6XV1/pTUiIP0ajia1bI3jn3Vn06DmWD8b+wa7dkRiNRhsnLr7WrNkPQP36AQXaOVOndgX8/LxJTc3I6d6R/ElOTssZR9bKRkWooKsj+farE+qmLl9OYvSLk7l8OZlaNf14d8wgHBzsbR0rX1xdnWjXzjxK8O/FlptEZTQaWbpsD/cPHs/X3yzmypVUalT35YvxI/j042FUrVoeAGdnRz4cO4SyZT04efIC/3t7BpmZWbddPyk5jbfHzCAry0j7dsH06N7IYtmLg39G8l3/e/hvM/7pgmpZwKNBRfIqz0WonTt38swzz+Dr68szzzxDUFAQ4eHhrF+/noceeog33niD+fPnM3fu3DytO3bsWAwGA6NGjcp5zmQyMWbMGPz8/HB1daVt27bs37//mvvS0tJ45plnKFOmDCVKlKBnz56cOaM/iEVERERERKTo+nnySlJTMwgKrES3rg3peW8TJn79KLNmjmbEQ+3x8y1FcnIafy3cwVNP/8CAgZ/m+1B5uTOr15rfx2hXQKP4shkMBsI6mN+0Xr5cI/ksYdv2Y2RkZOHn542/fzmbZAjK7oQ6cLrITyEa9/GfhHUcw8efzONMVO5GwKWlZfDqa9M4fSaW8uW9+HjcUNzcnK2ctGB069YQMH8/x8fn/0ywM2diGfnYt4x5ZyYxMZcpW9aDN9/ox0+TnqJJk+rXXV+mjAfjPnwQZ2dHNm85wtffLL7tHp99Np+oqDjKl/fi5Zd6q1snj7KLUBs3Hbqm6Hf5ctI/Z0E9pC4oKfzyXIRq0qQJERERTJw4kTNnzvDJJ59Qu/a1n/4IDAxk0KBBuV5z27ZtfP/999SrV++a58eNG8dnn33GhAkT2LZtGz4+PnTs2JHExMSca0aNGsXcuXOZMWMG69ev58qVK/To0YOsrNtX40VERERERETuNmfOxOYUlJ54vPM1bz5VrFCaRx4OY9bM0Xzz9Uju7dEYNzdnzkZf4qNxczl85KytYhdLFy7EEx5+CoB7CrgIBRDWwfw+y6bNh0lMTCnw/YuaDRsOAhDaspbN3vStXt0XR0d74uOTOXnygk0yFIQrV1L5a+EOklPSmfvnFgbd/xlv/e83Dh2Kuuk9RqOR997/nb37TuLu7sKnHw+jTBmPAkxtXfVD/KlRw5eUlHR+n70x3+uN/XAOBw+ewc3ViUdHdmTmby/QrWtD7O1v/nZxrVoVeOvNfgDMnLWB+Qtu/uGGpUt3s2jxLuzsDIz53wA8PFzznbm4qRtcGQ8PVxISUth39c8SMHdBpaSkU7tWBVq2VBeUFH55LkIdP36cxYsX079/fxwdHW94TYkSJfj5559ztd6VK1cYPHgwP/zwA6VKlcp53mQy8fnnn/PGG2/Qp08fgoODmTJlCsnJyUyfPh2A+Ph4Jk2axKeffkpYWBgNGjRg2rRp7Nu3j+XLl+f1SxMREREREREp9L77Yan5vI7mNWnYsOoNr7Gzs6N+SACvvdqHv+a/lvNpaku8cSm5t3btAQCCgytT1gZvhler5kNAQDkyMrJYtTq8wPcvSoxGIxs3HQagVWjBne31X05ODjRubO5S+X32JpvlsLYtW46QmZlF+fJetGheE6PRxIqV+xjxyNc8+9wktmyNuK4TbOK3S1i5KhwHB3vGfjA4Z5RcUWEwGBj2YFsAfv99I0lJuT+X6b9274lk1+5IHBzsmTL5WYYPa4eLi1Ou7m3fri6PPNwBgI8/mceuXcevuyYqKo5xn8wDYPiwdoSE+N9x1uLMwcGeli3MzR/r15uL4JcvJzH7D/P3/oiH2qsLSu4KeS5CValSxaIBnnrqKbp3705YWNg1z0dGRhITE0OnTp1ynnN2dqZNmzZs3Gj+S/OOHTvIyMi45ho/Pz+Cg4NzrrmRtLQ0EhISrnmIiIiIiIiIFHaHDkWxYsU+DAYDjz/WOVf3uLg48eCQNgAsW7aHuEtXrBlR/mXV1fOg2tqgCwrMb1p37WIe4bVo8S6bZCgqDh6MIi7uCiVKOFO/vr9Nswy+vzUAC//eUWS/n9dtMJ+BE9ahLp9+Mpypk5+hc+f62NvbsX3HMZ5/4WeGj5jA0mV7yMzMYs7czfw6fR0Ar7/Wh0YNq9kyvtW0aRNE5cplSLySypy5W+54nclTVgPQvVtDKlTwzvP9Dw1vT4cOdcnKMvL6m9OJiorLeS0zM4sx78wkOTmNenWrMHxYuzvOKdCq1bVFqBkzzV1QtWr6EWqjs+lE8ipXRShvb28uXryY60UrV67MyZMnb3vdjBkz2LlzJ2PHjr3utZiYGADKl7/2Uwvly5fPeS0mJgYnJ6drOqj+e82NjB07Fk9Pz5xHpUqVbptVRERERERExNYmfrcEgI4dQ6hRwzfX9wUHVaJOnYpkZGQxb95Wa8WTf7l8OYnduyMB2xWhADp3CsFgMLBnz4lr3iiWvFl/dRRfs6Y1cHR0sGmWBg0CCKxTkfT0TH7/veh1N2ZmZrFpo7kIld11Vr26L2+/NYBZM0czoH9LXFwciYiIZsw7M+k/8FM+G78AgJGPhNGlcwObZbc2e3s7hl7thpoxcz1paRl5XuPAgdNs3RqBvb1dzgcU8spgMPDm6/2oXbsC8fHJvPzK1JzOrEk/rWD/gdO4u7vw9tsDcHCwv6M9xKxZs5o4Otpz+kws+/adZPbVDsgRI3QWlNw9clWEunz5MosWLWL+/Pm5esTGxt72TKbTp0/z3HPPMW3aNFxcXG563X+/mUwm022/wW53zWuvvUZ8fHzO4/Tp07dcT0RERERERMTWtm07yrZtR3FwsOfRR8Juf8O/GAwG+vdrAcDcuVvIyMi0RkT5l3XrD2I0mqhZ0w8/v7x3GlhK2bKeNG5s7gpZslTdUHdqw9XOnFAbjuLLZjAYGDLkHgDmzNlMUnKajRNZ1t69J0m8koqnpxvBwZWvec3XpxSjnuvB3D9eYeQjYXh5uXHu3GWMRhP39mhcLLpuOnUMwde3FJcuJd3yTKabmTxlFQCdO9XP1+9Nzs6OfDR2CGVKlyTyxHn+N2Ym23ccY+ovawB45aVe+PqUus0qcjsl3Jxp2MA8evfN//1Gcko6NWv60UpdUHIXyfVHN4YNG2bRjXfs2MH58+dp1KhRznNZWVmsXbuWCRMmcPiwec5uTEwMvr7/fLrr/PnzOd1RPj4+pKenc+nSpWu6oc6fP0/Lli1vurezszPOzs4W/XpERERERERErMVoNDLxW3MXVO9eTe/ojcMO7evy9TeLuRibyKrV++nUMcTSMeVfVl89g6nNPYE2TgJduzRg27ajLFq8i4eG6wyRvIqOucTRYzHY2Rlo0bymreMA0LpVIJUrleHU6YvMn7+N+we1snUki1l3tesstGVt7O1v/Pl5T083HhrenvsHtWLx4l0kJKbwwP2ti8WvbQcHewY/0JpPPp3Pr9PX0eu+prnuzjsScZb1Gw5hMBhyOqryo2xZTz788EGefOp7Nm06zLZtRzGZTPTo3ogOHerle30xa9WqDlu2RnDhgvlIGf0+LnebXHVCGY3GPD+qVr3x4ajZOnTowL59+9i9e3fOo3HjxgwePJjdu3dTtWpVfHx8WLZsWc496enprFmzJqfA1KhRIxwdHa+5Jjo6mvDw8FsWoURERERERETuJqtWhXPocBRurk4Mu8NP+js6OtC7V1OAIjnCqzC5ciWVbduPAdCubbCN00Cbe4JwdXUiKiqO8PBTto5z19m40fxB6eCgynh5lbBxGjN7ezseeMB8NtSMmeuLTHejyWTKOfsm+yycW3FxcaJXr2YMfbBtsRr71r1bI8qULsn58/EsXrI71/dNuXoWVIf2dalcuYxFsgTWqcibb/QDzKMUK1cqw/Oj7rXI2mL2766nGjV8uae17TsyRfIiV0UoayhZsiTBwcHXPEqUKEHp0qUJDg7GYDAwatQoPvjgA+bOnUt4eDjDhw/Hzc2NBx54AABPT08efvhhRo8ezYoVK9i1axdDhgyhbt26hIXlbTSBiIiIiIiISGGUmZnFdz+YP3x5//2t8S7lfsdrmT8xb8/+A6fZv1+j6a1lw8ZDZGZm4e9fFn//craOg6urU865VIsWayRfXv0ziq9wjb/q0rkBZUqX5MKFBJYu22PrOBZx4sR5oqLicHJyoGmTGraOU2g5Ozsy6Gr32y/T1pCZeetjUQAiI8+xes1+AIYNa2vRPGEd6vH8qB4EBVXi/ffux9XVyaLrF3fly3tRt655NOUjD4epC0ruOjYrQuXGyy+/zKhRo3jyySdp3LgxUVFRLF26lJIlS+ZcM378eHr16sWAAQMIDQ3Fzc2NBQsWYG9ffD79ICIiIiIiIkXX/AXbOHMmllKlSuS86XinvL1LEnZ1RNLvs9UNZS1rrr7R2+aeIBsn+UfXLg0AWLFiL2lpGTZOc/dITk5jx05zV1thO4PFycmBAQNCAfh1+lqMRqONE+XfuvXmgl+jRtVwc9NRGrfS676meHi4cuZMLCtXhd/2+im/rMFkMtHmnkCqVfWxeJ7+/Vryw3dPUL267+0vljz74P3BfPvNY7RupS4oufsUqiLU6tWr+fzzz3N+bDAYGDNmDNHR0aSmprJmzRqCg69tY3dxceGrr74iNjaW5ORkFixYQKVKlQo4uYiIiIiIiIjlpaSk8/Nk8yHyDw1vTwkLvCnbv595fP2Klfu4cDEh3+vJtVJS0tm0+QgAbQvBKL5sDRpUpVw5TxKvpLJh4yFbx7lrbNt2lIyMLPz8vAtFV9t/9bqvKSVKOHPixAU2XB0beDdbf/U8qNaFrOBXGLm5OTPwahFy6i+rb1mEPH36IsuXm7vlht/hSFexrdKlS1KvXhVbxxC5I4WqCCUiIiIiIiIi/5g5awOxsYn4+XlzX88mFlmzdu0K1KtbhawsI3PnbrHImvKPLVuPkJaWga9vKWrWKDwdAfb2dnTuVB+AxRrJl2vrr47iaxVau1COwHJ3d6F3r2YATPt1jY3T5E9cXGLOmNDCNvqwsOrbpwVubs4cP37ulkXIqb+swWg00aJFLWrVqlCACUVEVIQSERERERERKZQuX05i2q9rAXj0kTAcHR0stvaA/uZuqD/nbdVoNgtbvdo8iq9tm6BCV7To0rk+AJs2HyHu0hXbhrkLGI1GNm66eh5Uy8JbFBnQvyWOjvbs23eKPXtO2DrOHduw8TAmk4natStQtqynrePcFTw8XOnbpzkAU6aswmQyXXdNdPQlFi8xF54fUheUiNhAnotQ9vb2nD9//rrnY2NjdQ6TiIiIiIiIiIVM+WU1yclp1KjhS1hYPYuufc89gZQv58nly0ksX7HXomsXZ+npmTmj7grTKL5sAQHlqV27AllZRpYv18/77Rw8GMWlS0mUKOFM/fr+to5zU2XKeNC1S0OAnML13Wjd+quj+HTmTZ4MHBiKs7MjBw6eYfv2Y9e9Pu3XNWRlGWnSuDrBwZVtkFBEirs8F6FuVFEHSEtLw8nJKd+BRERERERERIq76JhLzJmzGYAnHu+MnZ1lB5k4ONjT5+qn52f9vvGm/9aXvNm+4xhJSWmUKeNBUGBFW8e5oa5dGgAayZcb2ecTNWtaw6KdiNbwwP2tMRgMbNh4iGPHY2wdJ89SU9PZtu0oAK1CVYTKC+9S7vS8tzEAU6auuua1Cxfi+WvhDgCGD2tb0NFERADI9Z+gX375JQAGg4Eff/wRd3f3nNeysrJYu3YttWsX3tZkERERERERkbvFtGlrycjIomHDqjRrWsMqe/S8twk//bySiIho9uw9Qf2QAKvsU5ysXh0OQJt7Ai1eOLSUsA71+PKrvzl0OIrjx89RtWp5W0cqtDZcPQ8q9C4oilSuXIY2bQJZvXo/06ev4603+9s6Up5s336MtLQMypf3onp1H1vHues8cH9r5v65lZ27Itm37yR161YB4Nfp68jIyCIkxJ8GDaraOKWIFFe5/hvR+PHjGT9+PCaTiW+//Tbnx+PHj+fbb78lOTmZb7/91ppZRURERERERIq81NR0li7bDcDwoW2tdq6Qp6cbnTvVB8zdUJI/mZlZOePE2rQJsnGamytVyp0WLWoB5JwTI9eLjrnE0WMx2NkZaHn1v1dhN2RwGwCWLttDTMxl24bJo3Ubskfx1S50Z6ndDcqX98rpcpw8dTUAcXGJzJu/DYDhOgtKRGwo10WoyMhIIiMjadOmDXv27Mn5cWRkJIcPH2bJkiU0a9bMmllFREREREREirxVq/eTlJSGn28pGja07ifX+/dvAcDatQeIjrlk1b2Kut17ThAfn4ynpxv1Q/xtHeeWst+sXrpsD1lZRhunKZw2Xu2CqhtcGU9PNxunyZ3AOhVp2LAqWVlGZs7aYOs4uWY0GnO6zlq3CrRxmrvXg0PaYGdnYNOmwxw+cpbfZmwgLS2DwDoVadqkuq3jiUgxlufe8FWrVlGqVCnS09M5fPgwmZmZ1sglIiIiIiIiUiz99dd2ALp3b2T1kW7VqvrQqFFVjEYTc+ZssepeRd2aNfsBaN2qDg4O9jZOc2uhLWtT0t2F8+fj2bXruK3jFErrrxZFWra8u46eGDL4HgDmL9hGQkKyjdPkzsGDUcTFXaFECWfq1/e3dZy7VsWKpenQvi4A30xczNy55nMFhw9rp+4yEbGpPP9tNiUlhYcffhg3NzeCgoI4deoUAM8++ywffvihxQOKiIiIiIhI/sXHJzP2ozksW77H1lHkFs6ciWXX7kgMBgPdujYskD0H9A8FzG9ap6SkF8ieRY3RaMwpQrVtG2zjNLfn5ORAWFg9ABYt1ki+/0pOTmPn1eJcq9C7qwjVrGkNatTwJSUlnT/mbLZ1nFzJHmPZvHlNHB1zfXy93MDQoW0B2LbtKMkp6dSo7kvoXfZrWESKnjwXoV599VX27NnD6tWrcXFxyXk+LCyMmTNnWjSciIiIiIiIWMbPk1eyYMF23h4zk08+nUdGhqZaFEZ/LTR3QTVrWoPy5b0KZM+WLWrh5+dNYmIKS3RG0B3Zf+AMF2MTKVHCmcaNqtk6Tq506WIucq5es5/k5DQbp8m/X6at4c23phMZeS5f6yQkJPP+/80mIyMLPz9v/P3LWShhwTAYDAx+wNwN9fvsjaSmFv7C8rr1BwBoHVrHxknuftWq+tC69T//HYcNs965giIiuZXnItSff/7JhAkTaNWq1TW/iQUGBnLs2DGLhhMREREREZH8S05OY+HfO3J+PGfuFp565kcuXIi3YSr5r8zMLP5eZC4C9ejeqMD2tbe3o1/f5gD8PnsTJpOpwPYuKlavDgfMY+6cnO6OTo7goEpUrFialJR01qw9YOs4+XLq1EUmfruElavCGT5iAj9PXnlHhfadO48zdPhXrF6zH3t7Ox4d2fGufAO/fbtg/HxLcflyMgsX7rj9DRZiMpmYMnU1Ix7+ml27I3N1z5moWCIjz2Nvb0fz5rWsnLB4eGhYexwc7KlV04+2bYJsHUdEJO9FqAsXLlCu3PWfAklKSror/2AWEREREREp6hYt3kVSUhqVKpbm44+GUtLdhfDwUzyUhzcKxfq2bI3g4sUEPD3daNWqYDsCenRvjJurE5EnzrN9uz5gmhcmk4nVOaP47p43fA0GA127NABg8V0+km/W7xsAKFHCmYyMLH74cTkjHvmGAwfP5Or+zMwsvv1uKc88N4nz5+OpWLE03337OJ06hlgzttU4ONhz/6BWAPw2Yz1ZWcYC2XfqL2v47vulHDocxXOjfmLB1fPtbmXD1bO3QkL88fBwtXbEYqF27QrM/O0FvvryEaufKygikht5/p2oSZMmLFy4MOfH2YWnH374gRYtWlgumYiIiIiIiOSbyWRi9h+bAOjXrwWhobWZNOkpqlXzIS7uCs8+N4mZszao+6UQ+OvqG7ZdOjco8G4ad3cXunUzj2f7ffbGAt27oGVlGRn52EQ6d32PcR//yb7wU3f86z8jI5PFS3YTHX0JZ2dHmjWtaeG01tW5U30Atu84xvnzd2dnZEJCMn8v2gnA2A+G8M6YgXh5uXHsWAyPPjaRryb8fcuRdGeiYnn8ie+Y+stqTCYTPbo3YvJPTxNYp2IBfQXW0b17Izw8XDkbfYn1V89csqbZf2ziu++XAlCrph+ZmVmM/XAOX3719y2LYNnnQbUu4MJ7UefrWwp3d5fbXygiUgDyXIQaO3Ysb7zxBk888QSZmZl88cUXdOzYkcmTJ/N///d/1sgoIiIiIiIid2jb9qOcPHkBN1cnunU1FxkqVijN91c/5Z+VZeSLLxcy5p2ZpKQU/rNDiqq4uETWX+0I6NGj4Ebx/Vu/vi0B2LDxMGeiYm2SoSDs2nWc/ftPk5iYwp/ztvLY498y6P7P+HnySqJjLt32/oyMTDZuOsz7/zeb7vd+wHvv/w6Yz9ZydXWydnyL8vPzpn59f0wmE0uW7rZ1nDvy57xtpKZmUKOGL40aVqVjWAjTpz1Pp071MRpN/DZjPUOGfsmOndd2+JlMJhYt2snw4V9x4OAZ3N1deO+dQbz+Wl/c3Jxt9NVYjouLE73uawrAjFkbrLrXokU7+Wz8AgBGPNSenyY9xcMjOpj3nrmel1/9haSk1OvuS0hIYc+eEwCEhta2akYREbGdPBehWrZsyYYNG0hOTqZatWosXbqU8uXLs2nTJho1ss1flEVEREREROTGZs82d0F169aQEiX++VS0q6sTb/9vAKOe64G9vR3Llu/l0ce/5cyZolt8KMwWL9lNVpaRwDoVqVbVxyYZKlcuQ/NmNTGZTPwxZ7NNMhSEJUv3ANCieU26dG6Ai4sjp8/E8sOPy+nb72OefvZH/l60k+TktJx7MjIy2bTpMO9/MJse937Aiy9N4e9FO7lyJZUypUvSr18LRj3X3VZfUr507WIuTi9evOuu64jMyMjM6fQcNCA0Z1qPl1cJxvxvAB+PG0q5cp6cPRvHM89O4sOP5pKYmMKVK6mMeWcm7/3fbJJT0gkJ8Wfq5Gfp0KGeLb8ci+vbpzn29nbs2XOCQ4eirLLHmjX7+eDDOQD079eCh0d0wGAw8PCIDrz3ziCcnBzYtOkwjz7+LVFRcdfcu3nzYbKyjAQElKNihdJWySciIrZnMN1tf8OwgoSEBDw9PYmPj8fDw8PWcURERERERCwiKiqOAYM+xWQy8dv056lSuewNr9u9J5I33/qNuLgruLu78PZbA/Sp9AJkMpkY/ODnnDhxgZdfvI9evZrZLMvGTYd58aUpuLu78OecV4pER8i/paVl0KPnByQlpfH1hJE0qB9AUnIaa9bs5+9FO9m583jOtS4ujrRtE4y9vR1r1+4n8co/nRylS5ekXdsg2revS726Ve7qc1euXEmlR88PSE/P5Kcfn6J27Qq2jpRri5fs4t33fqdM6ZL8MfslHB2vH2OZlJTKNxOXMPfPLQCUKV0SB0d7YmIuY29vx4iH2jP0wbbY29+9P4e3MubdWSxduptOneoz5n8DLLr21m0RvPTyVDIysujWrSGvv9rnuu+Fg4fO8Mqr03LOu/vg/wbToH4AAG+9/RsrVuxj6INtefyxThbNJiLyb3r/37by/CdsQkLCDR+JiYmkp2t0g4iIiIiISGHxx5zNmEwmmjWtcdMCFED9kAB+/ulp6tatzJUrqbz0ylTmzd9WgEmLt/D9pzlx4gLOzo6EhYXYNEvzZjWoWLE0V66k3rXj2W5lw8ZDJCWlUb6cJyH1qgBQws2Zbl0bMuHLR/hj9kuMfCSMShVLk5qaweIlu1j49w4Sr6Ti7e1O3z7N+XrCSP6c8wovPN+T+iEBd3UBCszngd3TOhCAvxftsHGa3DOZTMycaR4z16dP8xsWoABKlHDhpRfv4+sJI6lUsTQXYxOJibmMn28pJn79KA8Nb19kC1Bg7hADWLFiLxcuWO7cr33hp3j1tWlkZGTRtm0Qr77c+4bfC3VqV2TSD09Qu3YF4uOTeW7UTyz4azsZGZls3nwE0HlQIiJFXZ7/lPXy8qJUqVLXPby8vHB1daVKlSq8/fbbGI03P3RQRERERERErCslJZ2FC7cD0K9fi9teX7aMBxO+fITeV7twvvxqIefOXbZmRLnqr7/MP0/t2wXb/CB5Ozs7+vZpDphHORa14SnLlplH8XXsGHLDN8x9fUrx0PD2zPjtBb779nH692tB/34t+PqrR5g391VGv9CTBvUDilzRont38/EKC/7aQWxsoo3T5M7u3ZEcPnIWZ2fHnLOPbqVB/QCmTnmWkY+Ecf+gVkyZ/AzBwZULIKlt1a5dgZAQf7KyjBYbsxkREc2LL04mNTWDpk1rMOZ/A3FwsL/p9WXLevLNhJF0aF+XzMwsxn44h1denUZSUhre3u7UqXP3dN+JiEje5flvTZMnT8bPz4/XX3+dP//8k7lz5/L6669ToUIFJk6cyKOPPsqXX37Jhx9+aI28IiIiIiIikgtLluwi8UoqFSp406J5zVzd4+jowOgX7qVe3SqkpKTz+Rd/WTmlJCensWLFXgB69Ghs4zRm3bs1wtXVicgT59mx45it41hMQkIKGzcdBqBzp/q3vNZgMFA3uDLPj7qX50fdS4MGVYtc4enfmjapTlBgJdLSMpj6y2pbx8mV3652QXXt0gAvrxK5usfZ2ZGHhrfnmae7XXNGXlGX3Q3157ytpKbmb4rRqVMXGfXCTyReSaVe3SqM/b/BODnduAvt31xcnHj3nUE8PKIDAJu3mLugQkNr3/XdhCIicmt5/l1+ypQpfPrpp7z33nvce++99OzZk/fee49PPvmEmTNn8sYbb/Dll18ydepUa+QVERERERGR2zCZTPz+xyYA+vVtkac3+Ozs7Hjppfuwt7djzdoDrF9/0FoxBVi5KpzklHQqVixN/RB/W8cBzOPZunZpAJDz66goWL0mnIyMLKpV86FaNR9bxylUDAYDj47sCJgLFdbsgkxOTmNf+Cnm/rmFcR//ycef/ElSUurtb/yX06cvsmHDIQAGDGhpjZhFSqtWdfDz8yYhIYVFi3fd8ToxMZd5btQkLl1KomZNPz75eBiurk65vt9gMPDwiA68/+79ODs7AtDmnqA7ziMiIneH239U4T82bdrEt99+e93zDRo0YNMm819OW7VqxalTp/KfTkRERERERPJsx87jREaex9XVie7dGuX5/mpVfbh/UCum/bqWzz5fQKNG1fL0RqPkXvYovh7dG2EwGGyc5h/9+rZgztwtbNhwiLNn4/Dz87Z1pHxbevWMq04dbXvuVmHVuHE1GtQPYNfuSKZMXc3LL/XK13omk4nz5+M5ejSGiKPRREREc/RoNGei4q4b83j0WAyfffoQJdycc7X2rN83YjKZaNmyFv5VyuUrZ3Fgb29H/34t+OLLhcyctYH7ejbJc/dRXFwiz42axLnz8VSuXIbPPh1+x+ND27evS9Wq5TkSEZ3rTl0REbl75bkTqmLFikyaNOm65ydNmkSlSpUAiI2NpVSpUvlPJyIiIiIiInk2e7b5A4JdOje44zcJHxreHh8fL2JiLvPTzystGU+uOnHyPHv3ncTOzkDXrg1tHeca/v7laNKkOkajiTlzt9g6Tr6dPx/Prt0nAAgLq2fbMIWUwWBg5MgwABb8tZ2oqLg7Xmv2H5vo2v19evcdx0uvTOX7H5axanU4p8/EYjKZKFO6JC2a1+SB+1tT0t2FfftO8eJLU0hJuf2ouISEFBb+vQP4Z8yc3F6PHo0pUcKZU6cusmVLRJ7uzcjI5JXXpnH6TCw+Pl58+fnDeJdyz1cef/9ydOoYUqiK7yIiYh157oT65JNP6N+/P4sWLaJJkyYYDAa2bdvGoUOHmD17NgDbtm1j4MCBFg8rIiIiIiIitxYdc4n1G8wj9Pr1bX7H67i6OjH6+Z689MpUZsxcT5fO9TXCzMIWLjS/kd6ieS3KlvGwcZrr9e/bgm3bjrLgr+088nAHXFzu3m64Zcv3YDKZCAnxx9dHH5q9mfohATRtWoOtWyP4efJK3nyjX57X2LPnBOM//wuTyYS9vR1VqpSlRg1falTzpUYNX6pX96HUvwoYHTrU5blRP7FnzwleenkKn3w87Ja/1ubN30pqagbVq/nQqFG1O/o6i6MSbs7c26MJM2auZ8asDbRoUSvX93414W/27z9NSXcXvhg/gnLlPK2YVEREipo8d0L17NmTI0eO0K1bN+Li4rh48SJdu3bl0KFD9OjRA4AnnniCzz77zOJhRURERERE5NbmzNmC0WiiSePqBASUz9daoaG1aXNPIFlZRj7+ZB5Go9FCKSUzMyvnbJYePRrbOM2NtWhRCz/fUiQmprBk6R5bx8mXpcvM+TtrFN9tPfqIuRtq8ZJdnDx1IU/3pqSk8/4HszGZTHTp3IDlS99m2tTnePutATzwQGuaNKl+TQEKoE7tioz/9CHc3JzZuSuSV16dRlpaxg3Xz8zMYvbVc8oGDgxVF00e9e/XAjs7A9u2HeXY8Zhc3bN06W5m/7EZgP/9bwCVKpWxZkQRESmC8lSEysjIoF27dqSlpTF27FjmzJnD3LlzGTt2LP7+/laKKCIiIiIiIrmRmprO/AXbAOjXr4VF1hz1XA9cXZ3Yu+8kC//eaZE1BTZuOkxc3BVKlSpBaMvcdyQUJHt7O/r2Nf86mv3HpuvO8blbREaeIyIiGgcHe9q3r2vrOIVeYGAlWrWqg9FoYtKkFXm6d+J3S4iKiqNcOU+eH9UDZ2fHXN0XFFSJ8Z8Ox83ViW3bj/LqazcuRK1cuY8LFxLw9nanY5gKinnl61uKe+4JBGDWrI23vf748XN8OG4uAMOHtSO0ZW2r5hMRkaIpT0UoR0dHwsPD9UkTERERERGRQmjpsj0kJqbg61uKlnkYtXQr5ct78cjD5s6Ir79ZxKVLVyyybnH311/bAejapSEODvY2TnNzPbo3wsXFkWPHYti1K9LWce5IdhdX8+Y18fBws3Gau8PIq9/zy1fs5ejR6Fzds2PnsZzz6F59pTclS7rmac+6davwySfDcHFxZMvWCN54azrp6Zk5r5tMJmbM3ABA3z7NcXLK8wkTAgwa0AqAJUt3E3eL38+TklJ5/Y1fSU3NoEmT6jw8okNBRRQRkSImz+P4hg4dyqRJk6yRRURERERERO6QyWTKeQO4b+/m2Nvn+Z97N9W/XwtqVPclISGFrycutti6xdXFiwls2nwEgB49Gtk4za2VLOlKl84NAHLGoN1NTCYTy5ZrFF9e1ajhS/t2wQD8mItuqKTkND4YOweA+3o2oXmzmne0b/2QAD4ZNwxnZ0c2bjzMW2//RkaGuRC1Z+8JDh2OwsnJgV73Nb2j9QXq1q1MnToVSU/P5M8/t9zwGpPJxP+N/YNTpy9Svpwn77w90KJ/poiISPGS5z9B0tPTmThxIo0aNeKxxx7jhRdeuOYhIiIiIiIiBW/3nhMcPRaDi4ujxc8YcnCw56UX78NgMPD33zvZteu4Rdcvbv5etIusLCN161bGv0o5W8e5rb59mwOwdt0BYmIu2zZMHu3bd4ro6Eu4uTrRqlUdW8e5qzzycBh2dgbWrjvAoUNRt7z2668XER19CR8fL55+ulu+9m3YsCoff/QgTk4OrFt3kLfHzCQzM4sZM8xdUF27NLjuXCnJPYPBwMABoQDMmbvlmm6zbDNmbmD16v04ONjz/nsP4OVVoqBjiohIEZLnIlR4eDgNGzbEw8ODI0eOsGvXrpzH7t27rRBRREREREREbuf32ebzPTp3qo+HR97GYOVGcHBl7uvZBICPP52X050geWMymVi40DyK797uli0WWku1qj40alQVo9HEnLmbbR0nT5Ys3Q1AmzZBuT6fSMz8/cvRqWN9AH74cdlNr9uyNYI/520F4I3X+1LCzTnfezduXJ0Pxw7B0dGe1Wv289LLU1m3/iBATgFF7lz7dsGUK+dJXNyVnE7BbLt2R/LN1Y7XUc91Jyioki0iiohIEZLnItSqVatu+li5cqU1MoqIiIiIiMgtnDt3mXXrzG/Q9uvbwmr7PP5YZ0qVKsGJExeY/tt6q+1T2KSnZ5KSkp6vNUwmE1FRcfw2Yz2nz8Ti5upE+/Z1LZTQ+vr1bQnA/AXbSEvLsHGa3MnMzGLlqn0AdOpU37Zh7lIjRrTH3t6OTZuPsHfvyeteT0xMYeyH5jF8/fo2p1HDahbbu3mzmoz9YAgODvZs2RqByWSiRfOa+PsX/u7Bws7BwZ6+fcwdjjNnbsBkMgHmUaH/e3sGWVlGOneuT+9ezWwZU0REiggNdBUREREREbnLzf1zC1lZRho2CKBaNR+r7ePh4cqzz3QH4OfJK4mKirPaXoVFfHwy/QZ8Qlindxg46FPefGs6k6esYsOGQ5w/H5/z5u1/GY1Gjh2L4Y85m/nf2zPo1ecj+g/8hAlfLwKgQ4d6uFmgY6SgtAqtjY+PFwkJKSxbtuf2N1jBlSupxMYm5vr6LVsjiI9PxtvbnUYNq1oxWdFVsUJpunVrCMD3N+iG+uKrhZw/H0/FiqV54vEuFt+/ZYtafPD+AznnEQ0a2MriexRX9/VsiouLI0ePxbBz13EyM7N46+0ZxMYmUrVqeV5+sRcGg8HWMUVEpAhwuJObtm3bxu+//86pU6dIT7/202Bz5syxSDARERERERG5vZSUdObN3wZA/34trb5fp44h/LVwOzt2HOfTz+bz6SfDivQblb/NWMfFiwkAnD4Ty+kzsaxcFZ7zuoeHKzVq+FK9ui/Vq/lw+XISu3efYO++kyQmplyzlr29HXXqVKRB/QAGDby7RorZ29vRp3dzvpm4mN//2ET37o0K7Of94KEzzJmzhWXL92A0mhg2tC1DH2yDo+Ot39JYenUUX1iHejg42BdA0qLpoWHtWbx4Fzt3Hmf7jmM0bmTudtqw4RB//70Tg8HAG6/1xdXVySr7t2pVh28mjCQ65jJNmlS3yh7FkYeHK926NmTO3C3MnLmBjRsPs2fPCUqUcGbs/w222s+niIgUP3kuQs2YMYOhQ4fSqVMnli1bRqdOnYiIiCAmJobevXtbI6OIiIiIiIjcxPwF24iPT8bPtxShobWtvp/BYODF0fcxdNiXbN5yhFWrw2nf7u4ZK5cXly5d4ffZmwB4841+lClTkoiIaCKOxhARcZZTpy6SkJDCjh3H2bHj+HX3u7o6ERxUmZCQKoSE+BMUWAkXl7v3jd2e9zZm0k8riIiIZs/eE9QPCbDaXmlpGaxcuY8/5mzmwMEz17w26acVrFodzuuv9iEw8Mbn1SQnp+WcIaRRfPnj4+PFfT2bMPuPzfzw4zIaNaxKYmIKH46bC5jPaAoJ8bdqhrp1q1C3bhWr7lEcDegfypy5W1i/4VDOc2++3o9KlcrYMJWIiBQ1eS5CffDBB4wfP56nnnqKkiVL8sUXXxAQEMBjjz2Gr6+vNTKKiIiIiIjIDaSnZ/Lr9HUADBnSpsC6PapULsuQwffw8+RVfP3NYlqF1sHJ6Y4GbRRq039bT0pKOrVq+tG1SwMMBgNNm9TIeT0tLYPIyPMcPRpNxNFojh2LoYS7CyH1/KlfP4CaNXyLVAeOh4cbnTqFsGDBdmbP3mSVItTZs3HM/XMrfy3cTnx8MgCOjva0b1+XPr2bc+7cZT4bv4Djx8/x6OPfMqB/KCMfCbuua2PtugOkpmZQqWJp6tSuYPGcxc3QB9syf8F29u07xebNR1iydDexsYlUqVKWxx7taOt4cocqVy5DaMvabNhoLkINfqA1bdoE2TiViIgUNXn+V8KxY8fo3t08A9zZ2ZmkpCQMBgPPP/887du355133rF4SBEREREREbne34t2cvFiAmXLetCta8MC3XvI4DYsWLCd6OhL/DFnM/cPKlpntcRdusIfc8xdUI88HHbD0XPOzo7Url2B2sWoyNG/bwsWLNjOmrUHOH8+nnLlPPO9ptFoZPOWCObM3cymTUdyztkqX96L3r2a0aNHI7xLuQNQN7gyjRtV44uvFrJkyW5mzFzP2rX7efWV3jRu/M+otqVLzedWdepUv0iPiywoZcp40LdPc36bsZ7/G/sHcXFXsLMz8Obr/XB2drR1PMmHoQ+2YfOWIzRsUJXHHu1k6zgiIlIE2eX1Bm9vbxITzQeBVqhQgfBw8yzsy5cvk5ycnKe1Jk6cSL169fDw8MDDw4MWLVqwaNGinNdNJhNjxozBz88PV1dX2rZty/79+69ZIy0tjWeeeYYyZcpQokQJevbsyZkzZ/67lYiIiIiISJGSmZnFtF/XAvDA/a0LvBPJ1dWJkSPNHRCTp6wiISHlNnfcXX79dS2pqRnUqVORli1r2TpOoVG9ui/16/uTlWVk1u8b872eyWTipVd+4cWXprBx42FMJhPNmtbgow8fZPasFxn6YJucAlQ2L68SvP3WAD79eBjly3lyNvoSz476ibEfziExMYW4S1fYtv0oYD7DTCxjyOB7cHV1Ii7uCgCDH7iHoKAbj0OUu0fdulX4c84rfPrJsCLVuSkiIoVHrotQI0aMIDExkdatW7Ns2TIABgwYwHPPPcfIkSO5//776dChQ542r1ixIh9++CHbt29n+/bttG/fnvvuuy+n0DRu3Dg+++wzJkyYwLZt2/Dx8aFjx445RTCAUaNGMXfuXGbMmMH69eu5cuUKPXr0ICsrK09ZRERERETkWmfPxpGZqb9XF1YrVu7j7Nk4vLzc6HlvE5tk6Na1IQEB5UhMTGHqL6ttksEaYmMTmTN3CwCPjOigTpr/GHz/PQDM+n0jJ06cz9daixfvYtOmwzg5OTBwYCgzf3uB8Z89ROtWdbC3v/VbFi1a1GLatFH07dMcgAV/bWfwkM/58suFZGUZqVOnos62saBSpdwZ0L8lAFWrlufhEXl7D0gKr9KlS6oAJSIiVmMwZfe534a9vT3R0dE4ODiQmpqKn58fRqORTz75hPXr11O9enXeeustSpUqla9A3t7efPzxx4wYMQI/Pz9GjRrFK6+8Api7nsqXL89HH33EY489Rnx8PGXLluWXX35h4MCBAJw9e5ZKlSrx999/07lz51ztmZCQgKenJ/Hx8Xh4eOQrv4iIiIhIUTBn7mY++XQ+ZUqXpGfPJtzXswlly+Z/7JZYhtFo5MGhXxJ54jyPPdqJYUPb2izLxk2HefGlKTg62jNj+gv4+ubv34SFwRdfLWTmzA0EBVbi++8eVxHqP0wmE6+8+gvrNxyiQf0AJnz1yB39N7pyJZVBD3xGXNwVHn+sM0MfbHPHmXbvieTDD+dy6vTFnOeee7Y7AweE3vGacr2MjEwW/r2T0Ja19GeCiIjcNfT+v23luhMqu1bl7e2Nn5+f+WY7O15++WXmz5/PZ599lq8CVFZWFjNmzCApKYkWLVoQGRlJTEwMnTr9M4/W2dmZNm3asHGjueV/x44dZGRkXHONn58fwcHBOdfcSFpaGgkJCdc8RERERETELCEhhe++N08/uBibyE8/r6RPv495483p7Nx5nFx+jk2saN26g0SeOI+7u0tOF4ittGhek0aNqpKRkcV33y+1aRZLuHgxgbnZXVCP3PgsqOLOfC70vbi4OLJrdySLF++6o3V+nLScuLgrVK5UhvsH5a9YVD8kgCmTn2Hog22wt7fDzc2ZsA718rWmXM/R0YFe9zVVAUpERERyLU9nQlnjL9/79u3D3d0dZ2dnHn/8cebOnUtgYCAxMTEAlC9f/prry5cvn/NaTEwMTk5O1xW//n3NjYwdOxZPT8+cR6VKmmEsIiIiIpJtytRVJCamULVqed4ZM5CQEPP5L6tWh/P0sz8y5MEv+OOPTSQlpdo6arFkMpmYMnU1AH37NMfd3cWmeQwGA08/2RWApcv2cPDQ3X1G7y/T1pCenkndupVp2qS6reMUWr4+pRjxkHkc21df/01CQt7OiD52LIY/5mwG4Pnn78XRMf9nmjk7O/L4Y52ZNXM0k39+mtKlS+Z7TRERERHJnzwVoWrWrIm3t/ctH3lVq1Ytdu/ezebNm3niiScYNmwYBw4cyHn9v4Uvk8l022LY7a557bXXiI+Pz3mcPn06z7lFRERERIqi6OhLzP5jEwBPPdGFjmEhTPz6UX6Z8iy9ezXF1dWJyBPn+XT8Au7r9SEffzKPY8dv/gEwsbwtWyM4dDgKFxfHQjNqrFatCnTuXB+Ar79edNd2y124EM+8+dsAeGSEuqBuZ9DAUAICynH5cjJfT1yc6/tMJhOfjp9PVpaRtm2CaNa0hkVz+fqUomKF0hZdU0RERETuTJ4+avTOO+/g6WnZlmsnJyeqVzd/uqxx48Zs27aNL774IuccqJiYGHx9fXOuP3/+fE53lI+PD+np6Vy6dOmabqjz58/TsmXLm+7p7OyMs7OzRb8OEREREZGi4Lvvl5KRkUXjRtVo3rxmzvPVqvnw0ou9eOLxLixesos/5mzm5MkLzP1zC3P/3MKLo3vSp7dtx8IVF9ldUPfd1xQvrxK2DfMvj47syKpV4ezcFcnGjYcJDa1t60h5NvUXcxdUSIg/jRtXs3WcQs/BwZ6XX+zFE099z4IF2+netRH16lW57X3Llu1h9+4TODs78uwz3QsgqYiIiIjYSp6KUIMGDaJcuXLWygKYPxGVlpZGQEAAPj4+LFu2jAYNGgCQnp7OmjVr+OijjwBo1KgRjo6OLFu2jAEDBgAQHR1NeHg448aNs2pOEREREZGi5uChMyxdtgeDwcBTT3W9YReIu7sL/fq2oG+f5uzcdZyZszayfv1BJny9iObNauLnl/fpCJJ7u/dEsmfPCRwd7Xng/ta2jnMNX59S9O/Xkl+nr+XriYto1qwGDg72to6Va+fOXWb+gqtdUA93UBdULoWE+HNvj8Ys+Gs74z75k8k/PX3Ln/ekpFQmfL0IgGFD2+Lj41VASUVERETEFnI9js8afwF//fXXWbduHSdOnGDfvn288cYbrF69msGDB2MwGBg1ahQffPABc+fOJTw8nOHDh+Pm5sYDDzwAgKenJw8//DCjR49mxYoV7Nq1iyFDhlC3bl3CwsIsnldEREREpKgymUx8ffWN4c6d6lOrpt8trzcYDDRqWI2Pxg6hYYMAUlMzGPfJvLt2DNvdYsqU1QB079aIsmU8bBvmBoY+2AZPTzdOnLjAXwt32DpOnkz9ZTUZGVk0qB9Ao4bqgsqLJ5/ogqenG8ePn2PmrA23vPann1dyMTaRihVLF7pCqoiIiIhYXq6LUNb4x+S5c+d48MEHqVWrFh06dGDLli0sXryYjh07AvDyyy8zatQonnzySRo3bkxUVBRLly6lZMl/DhcdP348vXr1YsCAAYSGhuLm5saCBQuwt797PnEnIiIiImJrGzceZueuSJycHHh0ZMdc32cwGHj5pd44OTmwdWsES5ftsWLK4u3goTNs2RqBvb0dQwbfY+s4N1SypCvDh7UD4MdJy0lOTrNxotyJjrnEgr/MRbNHHu5g4zR3H09PN55+qisAk35aQXTMpRteFxl5jlm/bwTg+ed64OSUp+EsIiIiInIXMpj0UUUSEhLw9PQkPj4eD4/C92lCERERERFryszMYujwLzlx4gJDBt/Dk090yfMak6es4vsfluHl5cb0ac8XqrOKiorXXp/GmrUH6NK5Af97q7+t49xURkYmDwz5nKioOB4e0YGHRxRcUSc2NpGtWyPYsjWCfeGnqFixNG3bBNHmnkC8vUve9L6Pxs1l3vxtNGpUla++eKTA8hYlJpOJp575gd27T9CqVR3Gffjgda8/89wkdu48TuvWdfho7IM3WUlERETEsvT+v23luhNKRERERESKpr8W7uDEiQt4erox9MG2d7TG4AdaU7VqeS5fTuarCX9bNqBw/Pg51qw9gMFgYOiDbWwd55YcHR144rHOAEz/bR2xsYlW2ys9PZPtO47x9TeLGTb8K+69byzv/d9sli7bQ3T0JbZtO8rHn8zj3vs+5ImnvmfmrA2cO3f5mjXOno3LGR34yAiNdb9TBoOBl0bfh729HevXH2TtugPXvL5i5T527jyOk5MDo57tYaOUIiIiIlLQ1PsuIiIiIlKMJSen8eOk5QA8NLw97u4ud7SOo6MDr73Sh0cf/5ZFi3fRpXMDmjSpbsmoxdrUaWsAaNMmEH//cjZOc3vt2gUTFFiJ/QdO8+Ok5bzycm+LrR0dfYn1Gw6yZWsEO3ceJzU145rXa9eqQNOmNahf35+IiGhWr9nPwYNn2LPnBHv2nOCLLxcSWKcibdsG07ZtEL/8soasLCNNmlQnJMTfYjmLo4CA8gx+oDVTf1nD+PELaNyoGm5uziQnp+UUp4c+2AZf31I2TioiIiIiBUXj+FA7noiIiIgUXz9OWs5PP6+kQgVvpk8bhaNj/j6n9tnnC5g9exN+ft5Mm/osLi5OFkpafJ2JimXQ/Z9hNJr4+aenqVXTz9aRcmXPnhM88dT32NkZ+GXKswQElM/3mvvCT/HMsz+Snp6Z81zp0iVp2qQ6zZrWoEmT6pQq5X7dfTExl1mzdj+rV4ezd9+pG555/N23j1M3uHK+MxZ3qanpDH7wC6KjL/HA/a15+qmufP3NYn6dvhY/P29+/eU5nJ0dbR1TREREihG9/29b6oQSERERESmmLl5MYPpv6wB44rHO+S5AATz2aCfWrj3A2bNxTPppJU89mffzpeRa06atxWg00aJ5zbumAAUQEuLPPa0DWbvuAN9MXMLH44bmaz2TycTEbxeTnp5Jjeq+dOwYQrOmNahe3QeDwXDLe318vBg4IJSBA0KJjU28WpDaz67dkWRlGWnRopYKUBbi4uLE6Bd68uJLU5g5awN1aldgxsz1ADz/XA8VoERERESKGRWhRERERKTAnDp1kaNHo7nnnkAcHOxtHafY+3HSClJTMwgKqkS7dsEWWbOEmzMvvtCTl1/9hRkz1xMWVu+uKpwUNufPx/P3op0ADBvazsZp8u6JJzqzYeMhNmw8xPbtR2nc+M5HNO7YcYzdu0/g6GjPuI8epHx5rztap3TpkvTp3Zw+vZsTH59M+P5ThNTzv+Nccr2WLWrRtm0Qq1fv5623ZwAQ2rI2oaG1bZxMRERERAqailAiIiIiYlUJCSmsWLmXRYt3ER5+CoAB/Vsy6jkdTG9LkZHn+GvhdgCeearbbTtJ8qJVqzq0bxfMylXhfPTRXH74/gns7e0stn5RkZaWQVJyGinJ6aSkpJGcnE5yShopKenmR3Iam7dEkJmZRYP6AdSrV8XWkfOsSuWy9O7djNmzNzH+i7+Y8vMzd1SANplM/HD17LL77mt6xwWo//L0dCO0pQoj1jDq2R5s3RJBcko6Tk4O+j1fREREpJhSEUpERERELC4zM4stWyJYtHgn6zccyjm/xc7OgNFoYvYfm+japQG1alWwcdLi65uJSzAaTbS5J9AqxY3nR93L1m1HOXQ4it9nb2TQwFYW36Owio1N5Nz5eOJiE4mNu0JcXCJxcVeIjUskLtb8v5firpCckp7rNYcNa2u9wFb2yIgwli3bQ2Tkeeb+uYX+/VrmeY0tWyLYt+8UTk4ODB3SxgopxdLKlfPk6ae6Mu6TeTzycBgVKnjbOpKIiIiI2ICKUCIiIiJiMRER0fy9eCdLl+7m0qWknOerVfOha5cGdO5Uny++XMjyFXsZ98k8vv/2cXXI2MDOncfZsPEQ9vZ2PPG4dc5sKl26JE892ZWPxs3l+x+W0eaeIHx9S1llr8Lkz3lbGffxn3m6x8XFETc3Z1xdnXBzdcbNzQlXV/OPXd2cqFXTjyb5GGNnax4erjw2siPjPpnHjz8uJ6xDPUqVcs/1/SaTie9/XAZAn97NKVNGh0nfLXr1akZYWAju7i62jiIiIiIiNqIilIiIiIjk2969J/n0s/lEHI3Oec7LqwSdO9Wna9cG1KjumzPu7dlnurFp82EOHjzDn/O20rdPc1vFLpaysoxM+HoRAL3ua0rlymWstte9PRqxZOkudu8+wcefzOPTT4ZZdOxfYXP5chITJy4GoEzpkpQp60Fp75J4e7vj7e1O6dIl8S7ljndpd0p7l6RUKXdcXZ2KRSH23nubMHfeViIiovnhx+W8/FKvXN+7YcMhDh2KwsXFkSFD7rFeSLEKFaBEREREijcVoUREREQkX3bviWT0i1NISUnH0dGeVqF16NqlAc2b17zh2S9lynjw+KOd+HT8Ar79bglt2wRRunRJGyQvnqb9upZDh6Nwc3PmoYfaW3UvOzs7Xnm5N8OGf8XmLUdYtnwvnTqGWHVPW/px0nISr6RSo7ovP016qlgUl3LL3t6O50f14MmnfmDe/G3cd19TatX0u+19RqMx5yyofn1b4J2HDioREREREbE9/atIRERERO7YvwtQTZpUZ8G81/i/9x+gVas6NyxAZevVqxm1a1cgKSmNL79aWICJi7fw8FP8ePUN/dHP31sgb+hXqVyWYUPbAvD5F38RH59s9T1t4djxGP6ctxWA557trgLUDdQPCaBjWD1MJhPjxy/AZDLd9p616w4QERGNm6sTgx9QF5SIiIiIyN1G/zISERERkTuyZ8+JawpQ4z58EA8Pt1zda29vx8sv9sLOzsCy5XvZui3CymklKSmVMe/MJCvLSMewenTp0qDA9h4y+B4CAspx+XISn42fX2D7FhSTycSXX/6N0WiibZsgGjasautIhdZTT3bFxcWRvftOsmz53lteazQa+XHSCgAGDAjF0zN3v7+IiIiIiEjhoSKUiIiIiOTZ3r0nGf3iZHMBqrG5AOXs7JinNWrXrpBzHtQnn84nLS3DGlHlqo8/nc/Z6Ev4+pbipRd7FejZTI6ODrzxWl/s7e1YtnwvS5ftKbC9C8L6DYfYtv0ojo72PPVkV1vHKdTKlfNk6INtAfj6m0WkpKTf9NqVq8I5fvwc7u4uDBrYqoASioiIiIiIJakIJSIiIiJ5sm/fSV4Y/TPJKek0blSNjz4ckucCVLZHR3akTOmSnDkTyy/T1lg4qWRbvGQXS5fuxt7ejjFvD8Td3aXAMwQGVmL4sHYAfPrpPM6du1zgGawhPT2Tryb8DcCgga2oUMHbxokKv/sHtcLPtxQXLiQw9ZfVN7wmK8vIpJ/MXVCDBobi4eFacAFFRERERMRiVIQSERERkVzbF36K50dPJjklnUaNqjLuowdxcXG64/VKlHBh1HM9APhl2hpOnbpoqahy1ZmoWD751DwCb8RD7akbXNlmWYYNbUtgnYokXknl/z74A6PRaLMsljJ79ibOnImldOmSDL169pXcmrOzI8880x2A32asJyoq7rprli7bw8mTFyhZ0pWBA0ILOqKIiIiIiFiIilAiIiIikiv7wk/x/As/k5ycRqNGVfn4o6H5KkBla9cumBbNa5KRkcUnn87DZDJZIK0AZGZmMWbMTJKT0wgJ8c8Zg2YrDg72/O+tAbi4OLJ9xzF+n73JpnnyK+7SFX6eshKAxx7tRAk3Zxsnunvc07oOTZpUv6aTLFtmZhY//Wzughr8QGtKlCj4zj0REREREbEMFaFERERE5LbC/1WAatjQcgUoAIPBwAvP98TJyYHtO46xrIidF2RLP05awYGDZyjp7sLbbw3A3t72f/2vXLkMzzzdDYCJ3y7h+PFzNk50577/fhlJSWnUrlWBbl0b2DrOXcVgMDDq2e7Y29uxdt0Btm6LyHlt8eJdREXF4eVVgn59W9gwpYiIiIiI5Jft/xUqIiIiIoXa/v2neX701QJUgwCLFqCyVajgzUPD2wPwxVcLSUhIsej6xdGOncdyztl65ZXe+Ph42TbQv/S6ryktWtQiPT2Td96bRUZGpq0j5dmRiLMs+Gs7AM892x07O/3TKq8CAsrnFJk+/+IvMjOzyMjI5OcpqwAYMvge3NRdJiIiIiJyV9O/lERERKRQMplMbNhwiEk/rSA5Oc3WcYolo9HIn/O28tzzP5GUdLUANW4Yrq6WLUBle+D+Vvj7l+XSpSS++36pVfYoLuLjk3n3vd8xmUzce29j2rera+tI1zAYDLz+ah+8vNyIiIjmx0krbJrnxMnzfDXhb1avCSczM+u215tMJr74YiEmk4kOHeoSEuJv/ZBF1IiH2uPlVYITJy7wx5zNLFy4g+joS5QuXZI+vZvZOp6IiIiIiOSTg60DiIiIiPzXoUNRTPj6b3buigTg/Pl4Xnu1j41TFS9nzsTy4Udzcn4OGjWqyrgPh1qtAAXg6OjAS6Pv46lnfuTPeVvp1rUhQUGVrLZfUWUymfjwozlcuJBA5cplGPVsD1tHuqHSpUvyyku9ee2NX5n261patKhJ/ZCAAs2QkpLO5Cmr+G3GejIzs/htBpQt60Gv+5rS894mlC5d8ob3rV6zn127I3FycuCpJ7oWaOaipmRJVx5/rBMffjSXST+tyPk95sEhbSzecSkiIiIiIgVPnVAiIiJSaMTEXOad92Yx4pGv2bnL/AavwWBgwV/brzkvRKwnMzOL6dPXMWToF+zcFYmLiyPPPdudzz8bYdUCVLYGDarSrWtDTCYT4z75M1ddKXKtefO2smbtARwc7HlnzKAC+Xm7U23aBNG9WyNMJhPvvT+bpKTUAtnXZDKxanU4Dwwezy/T1pCZmUVIvSp4eZXgwoUEfvhxOb37juN/b89g955ITCZTzr1paRlM+HoRAIMfaF2oxhzerbp3a0Stmn5cuZLKhQsJlC3rwX09m9g6loiIiIiIWIDB9O9/URVTCQkJeHp6Eh8fj4eHh63jiIiIFDtXrqTyy7Q1zJy1gfR089kwXTo34NGRHfltxjp+n70JHx8vpk19rlifD7Jk6W5+mbYGJ0cHXF2dcHF1ws3VCdechzNubub/7+VVgkYNq+LtfeNOjhuJiIhm7IdzOHQ4CoDGjarxysu9qVDB21pf0g1dunSFQQ+MJzExheHD2vHoyI4Fun9BSklJZ9v2owQHV8a7lHu+14uMPMeIR74hLS2DZ57uxv2DWlkgpXUlJacxbNiXnI2+RLduDXnz9X5W3e/UqYuM/3wBW7aaC9s+Pl48P+peWoXWJiMji1Wrw5kzdzP79p3KuadaNR/69G5G5071mf3HJr79billy3owY/oLhbrIdzfZu/ckjz/5HQAvju5Jn97NbZxIRERERIoKvf9vWypCoV+EIiIitpKZmcW8eVuZ9PMKLl9OBqBhgwCefqobtWtXACA5OY0Hh31JdPQl+vVtzgvP97RlZJtJSk6jb79xJCSk5Om+2rUq0KJFTZo3r0VgnYrY21/fCJ/+/+3dd3RU1dfG8e+kkt4oaYioARRCEQUEpEoREWnSVRQpUgTpKB2pKkWRotKLIEpR6YJ06SBFSuiEEEoIKaROct8/eMlPpMMkk/J81mJJ7tx77j54N8ycPeecJDMzZ/3JnLkbSUlJxdU1Fx93rsMbb5TGZDJZqguPZM2a/Qwe+hMAI4a3oErlYlaJI70NH/ELy1fswdbWhlfKFeL111+kQvkiODg82qrZZ89dYf36g/z6224uXbpO2TJBfPXle9jYZI2FD/7++wydunxPaqqRbv+/ExKSmDlrAz8u2Exycgr29ra0alnpnsu+HQ8JY/HiHaxZu5+EhGQAXFwcMZtTSUxMZuCAt6ldq5TF48zJ5v+4mdDQCD7pVhd7e60cLyIiIiKWofF/61IRCj2EIiIiGc0wDDZvOcKkSas4d/4qAE89lZvOHV+nQoUidxQ+du8+wcfdpgMw6du2Gb5vTGYwZ+5GJk9ZTf5AH7p2rUt8XCLxCcnExycSH59EXFxS2u/jE5IIPR/BseNht7Xh7u5E2TJBlCtXmHJlg/DycuXgwbOMGLWYs2evAFC50gt0716PPLmt/55owjfLWbhwK05ODnw3tQPPPuNr7ZAsKjIylvoNR5OcfPuSg25uTtR4rTiv136RF14IvGch8Ny5q6z/8yDr1x/kxMnwtON58rgz/YdO99zPKLOaMnU1s+dsxMPDmTmzPia3hZ5BwzDYtOkfxn+9nEuXrgNQrmwhPulWl/z5cz/w+piYeFas3Mvixds5HxoBQNEX8jN1SvssU+QTEREREcnJNP5vXSpCoYdQREQkI4WEXGTC17+zd99pADw9XfiwTXXqvfkydna297xu1Ogl/PrbLvIH+jB71sc4OtpnVMhWFx+fRKO3v+D69Rv0/6wxdV5/8aGui4iIYfuO42zffpydO0OIif3ffjsmk4lnnsnHqVOXMAwDb29XenSvR9UqmWfGkdmcwic9ZrBnzykCAryZ9n0n3N2drB2Wxcyes5EpU1fz/POBDPisMStW7mX1mv1cuRKddk6BAnl4vXYpatcqRd68Hpw/f5X1fx5i/fqDhJy4mHaera0NZV5+jqpVg6lSuSiurrms0aUnkpxspm37KRw/Hka5soX48ot3n7jIExUVx9BhP/HX9uMA5MvnSbeudan06vOPPMsvNTWV3XtOsmvXCRo2KIefn9cTxSYiIiIiIhlD4//WpSIUeghFREQywrXIWL77bi2//b4bwzBwcLCjWdMKvNOqMi4uDx4wj41NoOU747lyJZqWLV6lU8fXMyDqzGHBwi18/c0K/P28WPBj9/sW6+7FbE7h8OHz/LX9ONt3HOf4v2ZJ1anzIh93roO7u7Mlw7aI69dv0KbtJC5ejKRsmSC+/OK9uy4pmNWkpKTydtMvCQ+/zmefNuKNOqXTju/Ze5IVK/exceNhEhNvLgNnMpnw8/MiLOxaWhu2tja8VPpZqlcLplKlFzLl/79Hdfr0Jd5v8y1JSWbeb12Vth8+/n5gZnMK3brPYO/eU9jb29Ki+au8926Vuy69JyIiIiIi2ZfG/61LRSj0EIqIiKSn5GQzi37+ixkz13PjRiIA1asF07Fjbfx8H20mwdatR+nVZzY2Nia+m9KBF17Inx4hZyqJicm83eRLrkbE0Kd3A96q97JF2r16NZq9+07j7+dFsWJPWaTN9BIScpF2HaaQmJhMq5aV6PhRbWuH9MRuPcvu7k4sW9L3rjP7btxI4M8/D7Fi1V727z8D3Cw8lb5VeHr1BTw8sn7h6b9WrNzL58N/BmDI4KbUeK3EY7Uz4evlLPxpK85ODkya1I5CQf6WDFNERERERLIIjf9bl3Z7FRERkXRhGAZbtx7lm4kr0vZRKVzIn65d33jsPZ0qVChCrVolWb16P8NH/sKMaZ1xcMjeb2d+/303VyNiyJfXgzqvl7JYu7lzu1OzxuMN7me0oCA/Pvu0EQMHLWDuvE0UKuTPa9WLWzusJ/LL4u0A1H3jpXsuLenikou6dV+ibt2XCAu7xomT4RQPLoCnp0tGhprh6rz+IqdOXWL+j5sZPuIXAvy9H7ngvHLlXhb+tBWAAf3fVgFKRERERETESrL+WiYiIiKS6Zw6dYlu3WfQu+8czodG4O3tyqd9GzLth46PXYC6pdvHdfHycuH06cvMmv2nhSLOnJKTzcydtwmAVi0rYW+fvQtu9/Na9eK0alkJgOEjfiEk5OIDrsi8Qi9EsH3HcUwmE/Xrl3moa/z9van06gvZvgB1y0cdalGhfBGSksz07TeXK1eiHvraI0dDGf3FUgA+eL8alSsXTacoRURERERE5EFUhBIRERGLMZtTGDf+N957/xt27TqBvb0t77SqzMIFPahb9yVsbJ78rYeHhzM9utcDYPacjVm6GPEgK1bu49LlKHL7uFG37kvWDsfq2rerSdkyQSQmJtP307lcv37D2iE9lqVLdwJQrmwQgQE+Vo4mc7K1tWHwoCYULJj35lKUfeeSkJD0wOuuXYuh36fzSEoyU7FCET54v1oGRCsiIiIiIiL3oiKUiIiIWMycuRtZ9PNfpKSkUqVyUebP/YSPOtTCxdnRovepVjWYKpWLkpKSyvCRv2A2p1i0/czAbE5hzpwNALRo8eo9l2zLSWxtbRgyuBkBAd5cvBjJgEE/Zrn/94mJyfy+fDcADRuUs3I0mZuLSy6+GP0unp7OHD12geEjfuF+29kmJ5v5rP98Ll+OokCBPAwa2MQihW8RERERERF5fPpUJiIiIhYRGhrBrNkbAOjXtyEjhrckIMA73e7Xo3s93NycOH48jPk/bk63+1jL2rV/E3YxEk9PF+q/9XBLtuUE7u5OjB75Dk5ODuzZc4pvJ6+ydkiP5I91B4iOjsfX15Ny5QpZO5xMz9/fm+Gft8TOzpZ16w8yfcb6e5474evl/H3gLC4ujowa2QoXl1wZGKmIiIiIiIjcjYpQIiIi8sQMw+DLsb+SlGTm5Zeeo+4bpdP9nj4+bnTrWheA6TPWc+bM5XS/Z0ZJSUlNK+g1b1aRXLkcrBtQJvPMM/kY0L8xAAsXbmXlqn1WjujhLV6yA4D6b5XF1lZvxR9GqZIF6dXzLQCmTV/H+vUH7zjn1992sXjJDkwmE4MHNqXAU3kyOkwRERERERG5C33yFRERkSe2fv1Bdu4MwcHBjp496mEymTLkvrVrleSVcoVISjIzYtRiUlJSM+S+6W39nwc5d/4q7u5ONGyoJdvupkrlYrzfuioAo8cs4czZzF+E/OdIKEeOhGJvb8ubddO/UJudvFn3JZo2rQDAsOE/c/TohbTXDh06x1djfwXgwzbVqVChiFViFBERERERkTupCCUiIiJPJDY2gQlfLwfgnVaVyZ8/d4bd22Qy0btXfZydHTl06Bz9PptHfHxSht0/PaSmpjJz1p8ANG1SweL7aWUnbT6oTpkyQSQlmRk6dBHJyWZrh3Rfi5dsB6BatWC8vFytHE3W07nj67xSrhCJicn06TeHq1ejuXo1mk8/m0dycgpVKhflvXerWDtMERERERER+RerFqFGjhzJyy+/jJubG3nz5qV+/focO3bstnMMw2Dw4MH4+/vj5ORElSpVOHz48G3nJCYm0qVLF3Lnzo2Liwv16tUjNDQ0I7siIiKSY333w1quRsTwVP7cvNOqcobfP18+TwYOeBsHBzu2bDlCp87fc/VqdIbHYSmbNv/D6dOXcXFxpHGjV6wdTqZmY2PDZ582ws3NiaPHLjBj5p8Zcl+zOYXY2IRHuiYqKo4//jgAQMMGmt32OGxtbRgyuBlPP52HK1ei6dNvLp/2n8/ViBgKFszLZ581xsZG37ETERERERHJTKz6KW3jxo106tSJ7du3s3btWsxmMzVr1uTGjRtp54wZM4axY8cyceJEdu3aha+vLzVq1CAmJibtnG7durFkyRIWLFjAli1biI2NpW7duqSkpFijWyIiIjnGkaOh/PLLzdkdPXvUw8HBzipxVHr1Bb6Z0AZPT2eOHrtA23aTOXky3CqxPAnDMJg5awMAbzcuj5ubk3UDygLy5HanT6/6AMyes4GDB89apN3ExGROn77E5i1HWLBwC19+tYxPus/g7aZfUrX6IGrWHsqQYT9xIy7xodpbvnwPSUlmChXyp1jR/BaJMSdydc3FmNHv4u7uxJEjoRw6dA4311yMHvmOZg2KiIiIiIhkQibDMAxrB3HLlStXyJs3Lxs3bqRSpUoYhoG/vz/dunWjT58+wM1ZT/ny5WP06NG0b9+eqKgo8uTJw5w5c2jatCkAYWFh5M+fnxUrVlCrVq0H3jc6OhoPDw+ioqJwd3dP1z6KiIhkFykpqXzYdhLHjodRs2ZJBg9sYu2QCL0QQc9eszh37irOzo58Pqw55coWsnZYD23r1qP06jMbZycHfvm5Nx4eztYOKcsYOmwRq1bvw9/fm9kzu+D8GAWJkJCLTJq8itNnLnP5ctRDXZM/0Idhw5pTKMj/nuekpqbSpNlYwsKu0bdPA+q9+fIjxya327v3FF0/mY5hGHz5xXtZKs9FRERERCRjafzfuqzzdeV7iIq6+WHf29sbgNOnTxMeHk7NmjXTznF0dKRy5cps27aN9u3bs2fPHpKTk287x9/fn2LFirFt27a7FqESExNJTPzft1ajo7Pukj0iItldfHwSY8f9xpGjD7fMavHgAnzUoZZmkGSAxUu2c+x4GK6uufi48+vWDgeAwAAfvpvSgX6fzmPf/tP06j2bHt3rUf+tMtYO7YEMw2DGzPUANGhQTgWoR9T9kzfZt/80YWHXmPDNcvr1afhI1x87HsbHXacRExOfdszFxZHAAB8CA30ICPAmMOD//xvoQ1hYJIOHLOR8aARt203m4851aNiwHCaT6Y62d+48QVjYNVxdc1HjtRJP3FeBF198hpkzOpOclEKRIgHWDkdERERERETuIdMUoQzDoHv37lSsWJFixYoBEB5+cxmdfPny3XZuvnz5OHv2bNo5Dg4OeHl53XHOrev/a+TIkQwZMsTSXRAREQuLj0+iZ69Z7Nt/+qGvOXXqEtv+Okb/zxrzUuln0zG6nO3K1WimfrcWgI861MLb283KEf2Pu7sz48e9z8hRS1i1eh9jvljKhQvX+KhDzQzZLyYlJZWoqBtcuxZLxLVYrkXEEB0Tz4Mmn0dExPLPkVAcHe1p3rxiuseZ3bi65mJg/8Z0/ngav/22m4oVnufVis8/1LXHQ8Lo2u1mAapo0fx83OUN8gf64OHhfNeiEkCePB7MmtmFz0f8wpYtR/hq3G/s3nOSfn0b4e5+exH8l8U3l6x8o05pnJwcnqyjkubZZ3ytHYKIiIiIiIg8QKYpQnXu3JkDBw6wZcuWO17774d/wzDuOSDwMOf069eP7t27p/0cHR1N/vxam19EJDOJj0+iV++bBShnZ0f69K6Pl6fLfa+JiU1g8pTVhIZG8HHXaTRtUoEO7Wvi6GifQVFnPmZzCnZ2thZv9+uvlxMXl0jRF/LzVr3Mt7SYvb0dA/o3JjDQmx+mrWPe/E1cCItg0IAmFnserlyNZunSHVy6FEVERAzXrsVyLTKWyMhYUlMff7Xj+m+VwdvL1SIx5jSlSj1D82YVmf/jZkaOWkzR2R8/sEB6POTmDKjo6JsFqPFj38fFJddD3c/d3ZnRI1vx06JtfDtpFRs3/cOx42EMHdyMYsWeAuDixUi2/XUMgPr1M/+MPBERERERERFLyhRFqC5duvDrr7+yadMmAgMD0477+t78dmN4eDh+fn5pxy9fvpw2O8rX15ekpCQiIyNvmw11+fJlypcvf9f7OTo64uiojYtFRDKrhIQkevWZzd59NwtQ48e+nzag+yBlywQx8duVLF22k4U/bWXnzhAGDmxC4UL33q8lOzp16hKjv1hCSMhFmjWtSMuWlXB5jD1y7mb79uOsW38QGxsTvXq9lSGzix6HyWTig/er4+/vzchRi9mw4TBXLv/A6NHvPHGR58rVaD7q+B1hYdfueW8PD2d8fNzw9nbFw90ZG9sH/zm5uebi/dbVnii2nK5d2xrs2BnCyZPhjBq9hNGj3rnnF5NCQi7+rwD1Qn7GffXwBahbTCYTTZtUoHjxAgwYuICwsGt81Ok72rerSYvmFVmydAeGYfDyS89R4Kk8luiiiIiIiIiISJZhMh60Nkw6MgyDLl26sGTJEjZs2EBQUNAdr/v7+/PJJ5/Qu3dvAJKSksibNy+jR4+mffv2REVFkSdPHubOnUuTJjc3RL948SKBgYGsWLHirntC/Zc2JhMRyTwSEpLo2Xs2e/eewtnZkXFj3yf4IQtQ/7Z121FGjlrMtWux2Nra8GGb12jZ4tV0mRWUmSQlmZk9ZwOz52zEbE5JO+7l5ULbNq9Rt+5LT/RnkJiYTMt3JhAWdo2mTSvQtcsbFog6/e3bf5p+n84lOjoefz8vvvqq9WMXBCIjY+nc5QdOn7mMv58X9eqVwcfHFR9vN7y8XfHxdsXT0yXbP2uZ2YkTF2nTdhLJySn06d3grrP1QkIu8nG3aURFxd0sQI19H1fXRytA/VdsbAKjv1jCunUHAShXthBHj4Vy/XocI0e0onKlF56ofREREREREXl0Gv+3LqsWoTp27Mj8+fNZtmwZhQsXTjvu4eGBk9PNtfRHjx7NyJEjmTFjBkFBQYwYMYINGzZw7Ngx3NxuLq/y0Ucf8fvvvzNz5ky8vb3p2bMnERER7NmzB1vbBw8A6SEUEckcbs2A2rPnFM5ODjcLUMEFHru969dvMOaLpWzYeBiAYsWeYuCAtwkM8LFUyJnKwUPnGDVqMafPXAagYoUiVK0azMyZ6zkfGgHA00/noVPH1yn/SuEHLm17N999v5aZs/4kb14P5s3tZrHZVRnh3Lmr9Og1kwsXruHu7sSYUe9SvPijPV8xMfF06TqN48fDyJPHncnftsPf3zudIpYnMX/+ZiZOWomTkwOzZnQhMPB/eX/ixEW6dL1ZgHrh+UDGj/vgiQtQtxiGwa+/7Wbc+N9ISjIDkDevBz//1FOFSRERERERESvQ+L91WbUIda/BrxkzZtC6dWvg5gf5IUOGMHXqVCIjIylbtizffvstxYoVSzs/ISGBXr16MX/+fOLj46levTqTJk166H2e9BCKiFhfQkISvfvMYfeekxYpQN1iGAarVu3jq3G/EReXiJOTAx93eYN6b770WEWYzOhGXCJTv1vDL79sxzAMvLxc6PFJPapWLYbJZMJsTmHpsp1Mm76OqKg4AEqXfobOneo80jKFZ85c5t3W32A2pzByeEsqVy6aXl1KN5GRsfTuM4fD/5zHwcGOgQPeplrV4Ie6Nj4+iW7dp3Pw4Dk8PV2Y9G1bni6QN50jlseVmprKx12nsXffaYoWzc/kb9thZ2fLyZPhdOn6A9evx/H884GMH/s+bm5OFr//yZPhDBj0I2fOXKFzp9dp0fxVi99DREREREREHkzj/9Zl1SJUZqGHUETEuhITk+ndZw67dp/A2cmBsV+9/8gzVB7kYngkn3/+M/v2nwagerVgBg1skuVnJvz11zHGfLmMS5euA1Cnzot83LkO7u7Od5wbExPP7DkbWfTzNpKSzJhMJmrXKkn7djXJm9fjtnMNwyAuLpGrETFci4jhakQMPy3axuHD56lQvghjRt97n53MLiEhiUFDFrJ58xFMJhNdOr9Os6YV73tNYmIyvXrPZveek7i55mLiN20JCvK77zVifRfDI3n3va+5cSORth++RqVXX0grQBUpEsCEcR+kSwHqlsTEZE6dvkSRwgFZNl9ERERERESyOo3/W5eKUOghFBGxpn8XoJycHBj7ZWtKlHg6Xe6VmprKgoVbmfrdGpKTU6hZowQD+r+Nra1NutwvPUVGxjLhmxWsWbMfAH8/L/r0bsDLLz/3wGsvXoxk6ndrWLP2bwAcHOyoVjWYhMQkIiJiiIiIJSIihsTE5DuudXS0Z/7cbvj5eVm0PxktJSWV8RN+55fF2wFo2qQCXTq/jo3Nnc+C2ZzCp5/NY8vWozg7OTBhfBuKFn242dZifatW72PosEXY2trg6pqLqKg4ihQOYPy4D3B3T78ClIiIiIiIiGQOGv+3LhWh0EMoIgIQG5uAk5NDhhZkEhKS6NNvLrt2pX8B6t+2bj1K30/nkpKSSr03X6ZP7/pZZpbCmTOXWbx0BytX7uXGjURsbEw0bVKBD9u8hpOTwyO19c+RUL6ZuIK//z5zz3NcXBzx8XbDx8cNbx9XGtYvS6lSzzxhLzIHwzCY/+Nmvp20CoAqVYoyaEATHB3t085JSUll8NCFrFt3EAcHO8Z+2ZoXX8we/c8pDMNgwMAfWf/nIQAVoERERERERHIYjf9bl4pQ6CEUETl69AKdP/4BDw9n+n/WmFIlC6bbvUJDI9ix4zg7doawd+8p4uKTcHJy4Ksv36NkifS773+tW3eAQUMWkppq0LRpBT7uXCfTFqLM5hQ2bznC4iXb2bPnVNrxoOf86NOnAS88H/jYbRuGwba/jvHPP+fx8nLFx8ftf0Unb9dHLmxlRWv/+JvPh/9McnIKwcFPMWbUu3h4OJOamsqo0Uv4ffke7OxsGTWyFeVfKWztcOUxREfH8UmPmbi65mLYkOYqQImIiIiIiOQgGv+3LhWh0EMoIjlbQkISrT+YyLlzVwEwmUy0aP4qbT98DQcHuydu/0ZcInv3nmL79puFp7Cwa7e9niePO4MHNU3Xwte9/L58DyNG/gLAB+9X48M2r2V4DPdz9Wo0v/62i2W/7uLKlWgAbGxMVKhQhEYNy/FS6WfvunycPLp9+07Rt99cYmITeCp/br76sjU/LdrKop//wsbGxLChzalapZi1wxQRERERERGRR6Txf+tSEQo9hCKSs40d9ys//7Kd3D5ulCkTxIqVewF47llfBg1swrPP+j5ymxcvRrL2j7/ZsSOEAwfPkpKSmvaara0NxYMLULZsEGXLBBEU5GfVQsqin7cxbvzvAHTqWJuWLSpZLRa4OTNp/99nWLx4Oxs2Hk77s/P0dKHemy9T/60y+Pp6WjXG7Or06Ut07zmLS5eu4+hon7Yn1oDPGvP66y9aOToREREREREReRwa/7cuFaHQQyiSnRiGwcZNhzlz5soDzzWZTJQs8XSG7EGUWW3fcZzuPWYCMG7s+5QtE8TGTf8wesxirl+Pw97elvZta9K0aYUH7hVlGAb79p1m0c/b2LzlCKmp//vnJSDAm7JlgihbthAvvvgMLs6O6dmtRzZ7zgamTF0DQM8e9WjYoFyG3Ts1NZWzZ69w4OA5Dh48y/79pwm7GJn2enDwUzRqUI4qVYpZZGaa3N+Vq9H06j2b48fDAOjRvR6NGmbc8yAiIiIiIiIilqXxf+tSEQo9hCLZhWEYTJq8innzNz/SdRUrFKFjx9o8XSBvOkWWOUVFxfHOuxO4GhFD48av0L3bm2mvXbsWw8hRS9i67SgApUoWpH//xvj5et3RTmJiMqvX7GfRz39x8mR42vGXSj9L5cpFKVs2iMAAn/Tv0BOaMnUNs+dsANJ35ktiYjJHjoZy4MA5Dhw8w8GD54iJib/tnFy57KlZoyQNG5alUJB/usQh93YjLpGZM9fz3HN+1KpZ0trhiIiIiIiIiMgT0Pi/dakIhR5CkezgZgFqNfPmbwLgterFcXJ2uO81N2IT2LjpH1JSUrG1teGtei/zwQfV8fZyzYiQrcowDPoP+JE/NxyiQIE8zJjWiVy5HO4459ffdvP1N8uJj0/CxcWR7t3epHbtUphMJi5dus7iJTtY9utOoqNvFlFy5bLn9dqlaNzoFQoWzGeNrj02wzAYP+H3dNkDyDAMFi/ezqo1+zl2LAyzOeW21x0d7Sn6QiDBwQUoHlyA4sUL4OKSyyL3FhERERERERHJyTT+b10qQqGHUCSrMwyDyVNWM3fezQJUj0/epFGjVx7q2jNnLzNp8mq2bDkCgLOzI+++U5mmTSrg6GifbjFb28pV+xj2+SJsbW34fupHFCkScM9zQy9EMHTYIg4dOgdA5UovYGNjw6bN/6TtV+Tn50WjhuWo+8ZLuLs7ZUgf0kNqaiojRy1h+Yo92NnZMnpkK155pfATtfnv4tYtPj5uBAc/dbPgFFyAQoX8sbOzfdLwRURERERERETkPzT+b10qQqGHUCQre5IC1L/t3XuKid+u5OixCwDkzetB+3Y1qVWzBDY2998LKau5GB7Ju+99zY0bibRrW4PW71V94DVmcwrz5m/mh2l/pBWeAEqXfoa3G5enQvkiD9wzKqtISUll8NCFrFt3EAcHO4YNbc6rFZ9/7LbGfLmU337bDUC7tjWo8VoJ/P29MJlMlgxbRERERERERETuQuP/1qUiFHoIRbIqwzCYMnUNc+ZuBKD7J2/S+DEKULekpqay9o8DTJmymkuXowAoVMifLp1fp/SLz1okZmtLSUmlS9cf2L//DMHBT/HtN20faQbOsWMXmDRlNf5+XjRu9ArPPuubjtFaj9mcQr9P56XtidW0SQU6flQLe3u7R2rj8+E/s2bt39jYmPi0XyPqpNM+UyIiIiIiIiIicnca/7cuFaHQQyiSFRmGwdTv1jB7zs0C1Cfd6vJ24/IWaTsxMZmFP21j9pwNxMUlAtCgfhl69ngry89emTd/E99OWoWzkwMzZ3YhMMDH2iFlWsnJZiZNWc3ChVsBKFIkgKFDmj3Un1lSkplBgxewcdM/2NraMHhgE6pXL57eIYuIiIiIiIiIyH9o/N+6ssfaSSKSo9wsQK1NK0B162q5AhSAo6M9775TmUULe9CoYTlsbEwsWbozbcm/rCok5CJTv1sLQNeudVWAegB7ezu6dnmDMaPewd3diaNHL9D6/Yn8se7Afa9LTEymb7+5bNz0D/b2towc3lIFKBERERERERERyZFUhBKRLMUwDL77fi2z52wAoOvHb9DkbcsVoP7Ny8uVHt3r8UnXugBMmbqGjZv+SZd7pbfExGSGDPsJszmFihWfp+4bpa0dUpZRseLzzJrRheLBBYiLS2TgoAWMHrOExMTkO869EZdIj54z2b7jOLly2fPlmPeo+Jj7SYmIiIiIiIiIiGR1KkKJSJZhGAbf//AHs2ZvAG4WoJo2qZDu923U6BUaNSyHYRgMGbqQ4yFh6X5PS0pKMvPt5FWcOnUJLy8X+vZpkOWXFcxo+fJ5MvGbD3nv3SqYTCaW/bqLNm0ncebM5bRzYmLi6fbJdPbuO42zsyPjvnqfl19+zopRi4iIiIiIiIiIWJf2hEJrQuZkhmGwZ89JIq7FPvBck8lEqZJPkyePRwZEJnczbfo6pk1fB8DHXerQrGnFDLu32ZxCj56z2LX7BHnzejDt+474+Lhl2P0fxfXrNzh46BwHDpzl4MGzHD12gaQkMwBjRr2jmTlPaNeuEwwZ9hPXrsWSK5c9PbrXo/wrhenWfQYhIRdxc3Ni3Nj3eeH5QGuHKiIiIiIiIiKS42n837pUhEIPYU515uxlvvhiGfv2n37oaxwc7GjWtCLvtKqEi0uudIxO/mvxku18+dWvAHTpXIfmzTKuAHVLdHQ87TpM5ty5qxR9IT8Tv/kQR0f7DI/j3wzD4Pz5CA4cvFlwOnDwLGfPXrnjPE9PF1o0f5VWLStZIcrsJyIihqHDFrFr9wkA3NyciImJx8vLhQnjPuC55/ysHKGIiIiIiIiIiIDG/61NRSj0EOY0iYnJzJq9gbnzNmE2p+DoaE/x4ALwgNXJrkfeIOTEReDmgP6HbapT782XsbOzzYCoc7YNGw/xWf8fMQyDD96vxodtXrNaLOfPX+XDdpOJiYmnxmvFGTyoaYYubZecbObosTAOHrhZcDpw8CzXr9+447wCBfJQPLgAxYsXoHhwAQIDfbQEn4WlpqYyZ+4mfpj2BykpqeTJ487XE9pQ4Kk81g5NRERERERERET+n8b/rUtFKPQQ5iQ7d4XwxZfLuHDhGgDlyxemxyf18PPzeuC1hmGwecsRJk1axbnzV4GbA/2dPqpNhQpFctwAf1KSGRsbU7oX4fbtO8UnPWaSlGTmrXov07tXfav/We/Ze5Jun8wgJSWVth++xvutq6XbvaKj4zh48FxawenIkdC0pfVusbe35fkigQQHF6BE8QIUK/YUnp4u6RaT3O7gwbOs33CIJo3LP9TfJSIiIiIiIiIiknE0/m9dKkKhhzAniIiI4etvlrP2jwMA5M7tzifd6lKlctFHLmiYzSksW7aTaTPWcf16HAAvvvgMXTq9TuHCARaPPbNJTU1l3vzNfP/DHzg42FG69DOULRNE2TKFCAjwtui9Tp4M56NO3xEbm8Crrz7P8GEtMs3Ms2W/7mL0mCUAfD60OdWqBVus7dTUVGbO+pN16w5y+szlO1738HBOKzgVDy5A4cIBODjYWez+IiIiIiIiIiIi2YXG/61LRSj0EGZnqamp/PrrLiZNWU1sbAI2NiYaNSxHu7Y1nnhPp9jYBGbP2cBPi7alzUypXasU7dvVIF8+zycPPhOKjo7n8+GL2LL16F1fDwz0oWyZIMqVLUSpUgVxdnZ87HtdDI+kfYepXL0aTfHgAkwY/4HV91/6rwlfL2fhT1txdLRn0rdteb5IoEXanT5jHT9MW5f281P5c6ctqxdcvABP5c9t9dlgIiIiIiIiIiIiWYHG/61LRSj0EGZXJ0+GM/qLpRw6dA6AwoX86d27vsUKBbdcDI9k6ndrWbNmPwAODna0+7AGzZtXzFaFgmPHLvBZ//mEXYzEwcGObl3rUqRwADt2hrBj53EOHjxHSkpq2vl2drYUL16AsmWCqPFaCXx9PR/6XlFRcXToOJWzZ69Q8Om8TJ7UDnd353To1ZNJSUmld5/Z/LX9OLlzuzPt+4/Ik8fjidrcvOUIffrOAaBTx9rUef1FvLxcLRGuiIiIiIiIiIhIjqPxf+tSEQo9hNlNUpKZmbP+ZM7cjaSkpOLs5EDbtjVo1LBcui7lduRoKN9MXMH+/WcAqFmjBP36Nsx0s3celWEY/PrbbsaN/42kJDP+fl4M/7zFHUsP3riRwJ69p9ixI4QdO44TdjEy7TVbWxtq1ypFq1aVKPBUnvveLyEhiS5dp3H48Hny5vVg6uT2mXpm2Y0bCbRrP4XTZy5TpHAA305si5OTw2O1debMZT5sN5m4uEQaN36F7t3etHC0IiIiIiIiIiIiOYvG/61LRSj0EKYnwzD4ZfF2Zsxcj729HQH+3gQG+hAQ4E1gwM3/BgT44Or6ZEvj3XLw4FlGjl7MmTNXAKj06gt0/+RN8uZ9stkpD8swDBYv3s74r5eTkpJK4UL+jBrZKlMXUe4nISGJL7/6lRUr9wJQsUIR+n/2Nu7uTve9zjAMQkMj2LEzhA0bDrF332kATCYT1aoW4513KlMoyP+O68zmFPp9Oo+t247i5ubElEntKFgwn+U7ZmEXLlyjbftJXL8exwvPBzJmzLt4P+LspZiYeD5sO4nzoRGUKlmQCeM/yDT7X4mIiIiIiIiIiGRVGv+3LhWh0EOYXq5FxjJi5C9s23bsged6ejoTEOBD/sDclC9fmFcrPv9IM4ji4hKZ+t0afv5lO4Zh4OXlQo/u9ahapZhVlsTbu/cU/QfO5/r1OLy8XBjxeUtKlHg6w+N4EufPX+Wz/vM5cTIcGxsT7drWpFXLV7GxsXnktg4dOsfsuRvZsuVI2rFXXilM63erEBxcALhZuBo5ajG/L9+Dg4MdX49vQ/HiBSzWn/R26NA5evaeRXR0PP7+3oz7qjX58+d+qGtTUlLp3XcOf/11jHz5PJn+Q0ctwSciIiIiIiIiImIBGv+3LhWh0EOYHrbvOM7nw3/m2rVYHBzs6PhRbV54PpALYdcIDY3gwoVrhF6I4MKFCCIjb9xxvZubE7VqluCNN16icKE7Z8z8246dIYwes4Tw8OsA1Hn9RT7uUsfqewhdvBhJ335zCTlxETs7W3p0r8db9V62akwP688Nhxg+4hfi4hLx9nZl6OBmvPjiM0/c7okTF5kzdyPr1h8kNfXmXz2lShbkvfeqsG/faWbN3oCNjYkRw1tS6dUXnvh+Ge3suSt07zGTixcj8fBwZszodwku9tQDr5v63Rpmzd6Ag4MdUye3v2OpQxEREREREREREXk8Gv+3LhWh0ENoSUlJZiZPXc3ChVsBKFgwL0MHN+PZZ33vec2NGwlpxanjx8NYtXo/ly9Hpb0eFORH3TdKU7NGSTw8/ldYio6O4+uJK1ix4uZScb6+nvTuVZ9yZQulU+8eXXx8EsNH/Mz6Pw8B0LBBWbp1rZtpl1k7eOgcP/zwB7t2nwCgRImnGTakGblzWzYvQkMjmDNvIytX7sNsTrnttT69G2SZYt3dRETE0Kv3bI4eu4CDgx1DBjWlcuWi9zx//Z8H6T/gRwAGDWxCrZolMyhSERERERERERGR7E/j/9alIhR6CC3lzJnLDBq8kJATFwFo3KgcnTq+/kjL6sHNpcl27znJ78t3s2nTPyQn3yxS2Nvb8mrF56n7xkvExScydtxvXLsWi8lkonGjcrRvVxNnZ0eL9+tJGYbB7Dkb+e77tRiGQcmSTzN8WItMtdzaP0dCmTbtD/7afhwAOztbmjWtQLu2NdK1YHb5chQ/LtjC0mU7SUxM5sM21fng/erpdr+MEheXyIBBC/jrr2OYTCa6dX2DtxuXv+O8kyfDaddhCvHxSTRvVpEunetYIVoREREREREREZHsS+P/1qUiFHoIn5RhGCxbtpMJ36wgMTEZT09nPuvXmAoVijxx29HRcaxZ+ze/L9/D8eNhd7xeoEAePu3bMG1focxsy5YjDB76E3FxieTL58noUa0oFHT/pQbT2/GQMH6Yti5tryZbWxvqvP4ird+rip+fV4bFcf36DS6GR1KkcIBV9vBKD2ZzCl+N/ZVlv+4CoHmzinTqWDttT63o6Dg++HASYWHXePml5/jqy/cy7Qw5ERERERERERGRrErj/9alIhR6CB9XYmIy+/8+wy+Lt6cVMcqUCaL/p40svnwbwLHjYSxfsYfVq/cTF5fIO60q8967VR55ppU1nTlzmd595xAaGoGjoz1du9ThrbfKPFHhJSnJzO/LdxMTk0BAgDeBAT4EBHjj5uZ0z2tOngpn2rR1bNh4GAAbGxO1a5WideuqBAb4PHYscjvDMJgzdyNTpq4BoHq1YPp/1hhbWxt69JrFrl0n8PfzYtoPnW5balJEREREREREREQsQ+P/1qUiFHoIH5ZhGJw5c5kdO0PYsSOEfftPk5RkBm4u3/ZRh1o0bVI+baZHeklKMpOQkIS7e9YctI+OjmfQ4AXs2BkCwCuvFObTvg3x8XF75LaOHA3l8+E/c/r05Tte8/BwTitIBQb6EODvjbePG78v38369YcwDAOTyUSN14rz/vvVKPBUnifum9zdqtX7GDFyMWZzCiVKPM1zz/ryy+Lt5Mplz3dTOvDcc37WDlFERERERERERCRb0vi/dakIhR7C+4mOjmf37hM3C087Q7h8Oeq21/PkcadsmSDeblyeoCANpD+s1NRUflq0jSlT15CUZMbDw5k+vetTpXKxh7o+KcnM9BnrmTd/EykpqXh5uVC2TCHCwq4ReiGCa9diH9hGtarFaPNBdQoWzPek3ZGHsHvPSfp9OpcbNxLTjn0+tDnVqgVbMSoREREREREREZHsTeP/1qUiFHoI72bbX8eYMXM9R46Ekpr6v0fEwcGOkiULUrZMEGXLBFGwYN5ss4ePNZw8Fc7QoYsIOXERgDqvv0i3rnVxdc11z2uOHbvAsOE/c+rUJQBqvFac7p/Uu205txtxiYRduFmQunDhGqGhEVwIi+DixesUKuTHB62rafaNFZw8GU6PXrO4fDmKd1pV5qMOtawdkoiIiIiIiIiISLam8X/rUhEKPYR3s3nLEfr0nQNAwafzUqbszaJTqZIFs9QeTFlBcrKZadPXMXfeJlJTDXx9PRnwWWNKlXrmjvNmzPyTOXM3kpKSiqenC717vfXQs6ckc4iOjuPEiXBKlSqoAq6IiIiIiIiIiEg60/i/dakIhR7Cu7kRl8j69Qcp8/Jz5Mvnae1wcoQDB84y9PNFhIVdw2Qy0bxZRdq1rYGDgx3HjocxfPjPnDgZDkD1asF0/+RNvLxcrRy1iIiIiIiIiIiISOal8X/rsrHmzTdt2sSbb76Jv78/JpOJpUuX3va6YRgMHjwYf39/nJycqFKlCocPH77tnMTERLp06ULu3LlxcXGhXr16hIaGZmAvsicXZ0ferPuSClAZqHjxAsya2YU333wJwzCY/+Nm2rSdxMRvV/Jh20mcOBmOp6cznw9rzrChzVWAEhEREREREREREZFMzapFqBs3blCiRAkmTpx419fHjBnD2LFjmThxIrt27cLX15caNWoQExOTdk63bt1YsmQJCxYsYMuWLcTGxlK3bl1SUlIyqhsiFuPi7Ei/Pg0ZPeodvLxcOHkynPk/biYlJZWqVYoxd043qlUNtnaYIiIiIiIiIiIiIiIPlGmW4zOZTCxZsoT69esDN2dB+fv7061bN/r06QPcnPWUL18+Ro8eTfv27YmKiiJPnjzMmTOHpk2bAhAWFkb+/PlZsWIFtWrVeqh7azqeZEbXImMZO/ZXjhy9QMcOtahevbi1QxIRERERERERERHJUjT+b1121g7gXk6fPk14eDg1a9ZMO+bo6EjlypXZtm0b7du3Z8+ePSQnJ992jr+/P8WKFWPbtm33LEIlJiaSmJiY9nN0dHT6dUTkMXl7ufL5sBbWDkNERERERERERERE5LFYdTm++wkPDwcgX758tx3Ply9f2mvh4eE4ODjg5eV1z3PuZuTIkXh4eKT9yp8/v4WjFxERERERERERERERydkybRHqFpPJdNvPhmHccey/HnROv379iIqKSvt1/vx5i8QqIiIiIiIiIiIiIiIiN2XaIpSvry/AHTOaLl++nDY7ytfXl6SkJCIjI+95zt04Ojri7u5+2y8RERERERERERERERGxnExbhCpYsCC+vr6sXbs27VhSUhIbN26kfPnyAJQuXRp7e/vbzrl48SKHDh1KO0dEREREREREREREREQynp01bx4bG8uJEyfSfj59+jT79+/H29ubp556im7dujFixAiCgoIICgpixIgRODs706JFCwA8PDxo06YNPXr0wMfHB29vb3r27ElwcDCvvfaatbolIiIiIiIiIiIiIiKS41m1CLV7926qVq2a9nP37t0BeO+995g5cya9e/cmPj6ejh07EhkZSdmyZVmzZg1ubm5p14wbNw47OzuaNGlCfHw81atXZ+bMmdja2mZ4f0REREREREREREREROQmk2EYhrWDsLbo6Gg8PDyIiorS/lAiIiIiIiIiIiIiItmExv+tK9PuCSUiIiIiIiIiIiIiIiJZl4pQIiIiIiIiIiIiIiIiYnFW3RMqs7i1ImF0dLSVIxEREREREREREREREUu5Ne6vnYmsQ0UoICYmBoD8+fNbORIREREREREREREREbG0mJgYPDw8rB1GjmMyVP4jNTWVsLAw3NzcMJlM1g5HJN1ER0eTP39+zp8/r034RDIp5alI1qBcFcn8lKcimZ/yVCTzU55KdmAYBjExMfj7+2Njox2KMppmQgE2NjYEBgZaOwyRDOPu7q43DiKZnPJUJGtQropkfspTkcxPeSqS+SlPJavTDCjrUdlPRERERERERERERERELE5FKBEREREREREREREREbE4FaFEchBHR0cGDRqEo6OjtUMRkXtQnopkDcpVkcxPeSqS+SlPRTI/5amIPCmTYRiGtYMQERERERERERERERGR7EUzoURERERERERERERERMTiVIQSERERERERERERERERi1MRSkRERERERERERERERCxORSgRERERERERERERERGxOBWhRERERERERERERERExOJUhBIRERERERERERERERGLUxFKRO7LMAxrhyAiIpJlJSQkWDsEEXmA0NBQLl68COi9r0hmZTab036vPBXJGpSrInKLydDfCCLy/5KSkhg3bhwuLi4EBwdTuXJla4ckIv+RnJzM3Llz8fT05Pnnn6dIkSLWDklE/uPW2+uPP/6Yf/75h0WLFuHt7W3lqETkv5KTk+ncuTMrV66kc+fO9O7d29ohich/JCUlMXDgQK5du4afnx99+/bFycnJ2mGJyH9oPElE7kczoUQEgJUrV+Lv78/SpUuZMWMGDRo0oH///voGt0gmMnXqVPLly8f06dPp1q0bjRo14qeffgIgNTXVytGJyC0mk4nr16/z888/8+eff6blqYhkHufPn6dChQocPHiQRYsW0bx5cwzD0Le2RTKRpUuXUqBAAXbu3EmuXLn44osvaNeunXJVJJPReJKIPIhmQokIAE2aNMHb25spU6YQGRnJunXraNWqFaNGjaJ9+/b6tpmIFZnNZiZOnMj06dPp27cvLVq04MCBA/zwww9s27aNnTt3YmOj75WIZCZbtmxhypQpFCpUiAkTJrB//37y589v7bBE5P9NmzaNBQsWsGbNGkwmE6GhoeTLlw97e3trhyYiQGJiIg0aNKBUqVIMHz4cgGXLltGiRQsiIiLIlSuXlSMUkVs0niQiD6IRK5Ec6lb92TAMTp8+zbZt23j11VcB8PLyonHjxrRr1465c+eyZcsWa4YqkmPdytPExERiY2Np3LgxzZo1A6B48eIULVoUOzs7rly5Ys0wRXK8W7mampqa9nt7e3tOnDjBJ598gpubGyNHjrRmiCI53q3cTElJAWD37t2UKFGC69ev06RJE2rUqEGZMmVo164d4eHh1gxVJMf693ekDx48yIYNG6hevXrasfDwcNq1a6cVAESs7Na/pYDGk0TkoagIJZID9evXj2+++Qa4uWTQ008/jdlsJjo6GoD4+HgABg0axI0bN1i5ciWxsbFWi1ckJ/p3nrq4uNCyZUsGDhyIjY1N2gd0Ly8vYmNjyZs3rzVDFcnR/p2rNjY2mEwm4OYAd1BQEG5ubnz++edMmzaN3bt3M2XKFE6ePGnNkEVynH/nqa2tLQCHDx8GYPz48QBMnDiRDh068NtvvzFo0CAuXLgAaFN1kYzy7zwFeOmll/Dx8WHixImsXLmSXr160bFjR9avX09QUBCTJ09O+yKW8lQk4wwYMIABAwak/azxJBF5GCpCieQgU6ZMwc3NjdWrV1OjRo2046mpqTRo0IApU6YA4OTkRHJyMj4+PrRu3Zqff/4Zs9lsrbBFcpR75WnBggWBm/l6a5B71apVlCpVCpPJRHJyslXiFcmp7vdv6i1eXl4AtGrViqeffpoyZcowb968DI9VJKe6W57e+vZ2gwYNGD9+PAsWLKB3795Ur16d9u3bM3LkSLZu3cq+ffsA0v7NFZH0cbc8vVVUmjdvHn5+fgwePJilS5eydu1aFi1aRMeOHRk3bhwrV64ElKciGWHZsmX4+vqydu1aAgICiIyMBDSeJCIPR0UokRzgxIkTlC1blj59+vD999+zd+9enn/++bTXbW1tee2110hKSmLChAnA/wbR2rRpw9WrVzl06JBVYhfJKR6Up3DzA7mNjQ0pKSmYzWb+/vvvtGUP/r2HhZYoEUk/D8rVW/uzHT16lBdeeIGQkBCKFSvGlStXMJlMdOjQgWeffdZa4YvkCPfL01szoSpXrkzx4sVJSkrC398/7drWrVtz/fp1QkNDrRK7SE5xvzy9VVSqVKkSEyZMwNPTkwEDBlCtWjUKFSrEZ599hoODA8eOHbNmF0RyjBs3bjBt2jQ6derE9u3b6dSpU9qXrWxtbalRowaJiYkaTxKRe1IRSiQH2LVrFydOnGDYsGE0a9aM69evM2/ePDZv3szx48cBqFixIjVr1uSrr74iLCwMR0dHAPbt20eePHlwc3OzZhdEsr375emJEyeA/30gt7W15erVq1y+fJnKlSsDsH//flq3bg38bxBcRCzvYXLVbDZja2tL165dKVq0KJUqVSIkJIS2bdsyaNAgIiIirNwLkeztfnkaEhICQKFChWjRogXnz59n69ataddeuXIFb29vvfcVSWcP8+8p3MzJXbt2UaVKFeDmbMaoqCicnJxwcXGxUvQiOcuGDRvYvn07n332GZGRkfTt25fRo0enzfCvXr26xpNE5L5MhhbPFckRWrZsSXR0NH5+fqxatYqAgABOnjyJnZ0dc+bMoXr16hw5coS2bdty48YNevbsSdmyZRkwYABXr15l2bJlODs7W7sbItna/fJ03rx5VK5cOa3ANHfuXL777juWL19Ot27dmDNnDnXq1GHx4sWYTCYtSyKSju6Xq3PnzqVatWpMmTKFv//+mw8//JDSpUsDEBoaSqFChVi+fDlVq1a1ci9EsreHydOoqCjef/99du/ezQcffED9+vWZOHEie/fuZfny5fj5+Vm7GyLZ2oPe+1aqVIm4uDgqVaqEn58fo0aNwsPDg2HDhrFt2zYWLVpE0aJFrd0NkWzLMAxMJhPTp0/nt99+o3PnzrRt25ZChQrh6OjI8uXL+eijjxg6dChRUVG0aNGC+Ph4jSeJyB1UhBLJZhYtWsSaNWsoVqwY1apVIzg4GLj5zZU2bdrg6+tLr169KFu2LHFxcQwYMIBdu3bx22+/UaRIES5dukTr1q05e/Ys0dHRPP3008ydO5enn37auh0TyUYeJ0/37NnD4sWL0z5oN2/enEWLFuHs7EzhwoWZM2cORYoUsWa3RLKdx8nVnTt3smrVKp599llSU1PTlv66JSoqCg8PD2t0RyRbetz3vkuXLqVo0aIkJyfTs2dPtm7dSmxsLL6+vkybNk3LZopY0OPk6e7du/n1118pUqQImzdvpnHjxnh6ehIXF0dQUBDfffcdzz33nJV7JpK93CtXFyxYQIcOHWjZsiW5c+emf//+2NvbM2vWLCZPnszbb79Njx49NJ4kIvekIpRINhEREUGHDh3YsmUL9evX59ChQ5w6dYoRI0bw3nvvATB16lQKFSp027evk5KS8Pb2Zvz48Xz44YcAJCYmEhkZydWrVylWrJhV+iOSHT1pnk6YMIE2bdqQkpLCO++8w19//cW3335LnTp1rNUlkWzJUrmampqq5TFF0oml8vSWGzduEB4eruKTiAVZ8jPq+fPnCQ8PB+Dll1/O+M6IZGMPylXDMChevDiHDx9m+vTpacvAG4bB22+/jaenJ5MmTcLBwUHjSSJyV3bWDkBELOPPP//k3Llz7N69m4CAAADq16/PkCFDcHV1pVGjRrz77rs4OTmlXWMYBjY2Nvj5+XH48OG0446Ojvj6+uLr65vh/RDJzp40T29t6Gpra8uQIUMICgqySj9EsjtL5aoKUCLpx1J5eouLi4sKUCIWZsnPqPnz5yd//vwZ3geRnOB+uerh4UH9+vXp2LEjnTp1Ii4uDrPZjJ2dHSaTCTc3N/755x8cHBwAcHBw0HiSiNxBn4xFson58+cTGBhIQEAAsbGxADRo0IAzZ84wefJkrl69ipOTE/+e/Ggymdi4cSP29va888471gpdJMewZJ6qACWSfvRvqkjmpzwVyfyUpyJZw/1ydeLEiURERNC+fXtq1KjBN998w/r16wEIDw8nLCyMDz74IK0t7U0sInejIpRIFrRp0yZWr16N2WxOOxYUFJT2TTFXV1cAjh49SrVq1UhISGDJkiXAzTcEFy9eJCQkhClTpvDBBx9QrVo1ChcujFbnFLEc5alI1qBcFcn8lKcimZ/yVCRreNRcjY+PZ/HixdjY2DBv3jzy5s1LixYtqFOnDiVLliQ5OZk33njDKn0RkSzEEJEs48qVK8a7775rmEwmo0SJEsbp06fTXjt58qSRJ08eo3Llysbo0aONV155xShYsKCxbt06o0SJEsaAAQMMwzCM+Ph4Y9asWUZQUJBRsGBBY86cOVbqjUj2pDwVyRqUqyKZn/JUJPNTnopkDU+Sq/379zfMZrNhGIZx6dIlY82aNcYXX3xhLFmyxDqdEZEsRzOhRLIIs9nMokWLuHTpEj/++CMhISEsWLCAxMREAJ555hmWLFlCoUKFWLhwIaVLl2bnzp1Uq1aN4sWL888//wCQK1cuXn/9db788ktOnTpFq1atrNktkWxFeSqSNShXRTI/5alI5qc8FckanjRXjxw5gq2tLQB58+alRo0a9OzZk/r161uxVyKSldhZOwAReTh2dna8+OKL5M+fn7p163Ls2DHGjh1L7dq1KVmyJAAVKlSgQoUKJCUlpW0KefnyZfbt20ezZs0ASE1NJU+ePNSrV89aXRHJtpSnIlmDclUk81OeimR+ylORrMGSuWpjo/kMIvLo9DeHSBZSpkwZ6tatC8DAgQOxt7dn8uTJxMTEAKStl+3g4EBCQgLJycn88ssv2Nvbp72h1xsGkfSlPBXJGpSrIpmf8lQk81OeimQNylURsSb97SGShZhMJgCSkpIAGD9+PNOnT2f79u23vX7hwgVmzJhB+fLl6d+/P7169SI4ONg6QYvkMMpTkaxBuSqS+SlPRTI/5alI1qBcFRFrMhm3St0ikiWVL18eFxcX5s2bR968ebly5Qp58uThxx9/JCwsjB49elg7RJEcT3kqkjUoV0UyP+WpSOanPBXJGpSrIpJRVIQSyaLMZjN2dnYcPnyYEiVKMHbsWE6ePMmWLVuYNWsWxYoVs3aIIjme8lQka1CuimR+ylORzE95KpI1KFdFJKOpCCWSDZQpU4bdu3fz1FNPMXXqVGrVqmXtkETkP5SnIlmDclUk81OeimR+ylORrEG5KiIZQXtCiWRhJ0+eJDg4mMOHD/P9999z5swZvWEQyWSUpyJZg3JVJPNTnopkfspTkaxBuSoiGUlFKJEszNbWlkaNGnH16lXatGlj7XBE5C6UpyJZg3JVJPNTnopkfspTkaxBuSoiGUnL8YmIiIiIiIiIiIiIiIjFaSaUiIiIiIiIiIiIiIiIWJyKUCIiIiIiIiIiIiIiImJxKkKJiIiIiIiIiIiIiIiIxakIJSIiIiIiIiIiIiIiIhanIpSIiIiIiIiIiIiIiIhYnIpQIiIiIiIiIiIiIiIiYnEqQomIiIiIiIiIiIiIiIjFqQglIiIiIiKZzuDBgylZsmSG33fDhg2YTCZMJhP169e/77lVqlShW7duD9Vu69at09pdunTpE8cpIiIiIiKSFagIJSIiIiIiGepWMeZev1q3bk3Pnj1Zt26d1WI8duwYM2fOtFh7EyZM4OLFixZrT0REREREJCuws3YAIiIiIiKSs/y7GLNw4UIGDhzIsWPH0o45OTnh6uqKq6urNcIDIG/evHh6elqsPQ8PDzw8PCzWnoiIiIiISFagmVAiIiIiIpKhfH190355eHhgMpnuOPbf5fhat25N/fr1GTFiBPny5cPT05MhQ4ZgNpvp1asX3t7eBAYGMn369NvudeHCBZo2bYqXlxc+Pj689dZbnDlz5pFjvnHjBu+++y6urq74+fnx1Vdf3XHOpEmTCAoKIleuXOTLl4/GjRs/8n1ERERERESyExWhREREREQkS1i/fj1hYWFs2rSJsWPHMnjwYOrWrYuXlxc7duygQ4cOdOjQgfPnzwMQFxdH1apVcXV1ZdOmTWzZsgVXV1dq165NUlLSI927V69e/PnnnyxZsoQ1a9awYcMG9uzZk/b67t27+fjjjxk6dCjHjh1j1apVVKpUyaL9FxERERERyWq0HJ+IiIiIiGQJ3t7efP3119jY2FC4cGHGjBlDXFwcn376KQD9+vVj1KhRbN26lWbNmrFgwQJsbGz44YcfMJlMAMyYMQNPT082bNhAzZo1H+q+sbGxTJs2jdmzZ1OjRg0AZs2aRWBgYNo5586dw8XFhbp16+Lm5kaBAgUoVaqUhf8EREREREREshYVoUREREREJEsoWrQoNjb/W8whX758FCtWLO1nW1tbfHx8uHz5MgB79uzhxIkTuLm53dZOQkICJ0+efOj7njx5kqSkJF555ZW0Y97e3hQuXDjt5xo1alCgQAGeeeYZateuTe3atWnQoAHOzs6P3E8REREREZHsQkUoERERERHJEuzt7W/72WQy3fVYamoqAKmpqZQuXZp58+bd0VaePHke+r6GYTzwHDc3N/bu3cuGDRtYs2YNAwcOZPDgwezatQtPT8+HvpeIiIiIiEh2oj2hREREREQkW3rxxRcJCQkhb968PPfcc7f98vDweOh2nnvuOezt7dm+fXvascjISI4fP37beXZ2drz22muMGTOGAwcOcObMGdavX2+x/oiIiIiIiGQ1KkKJiIiIiEi21LJlS3Lnzs1bb73F5s2bOX36NBs3bqRr166EhoY+dDuurq60adOGXr16sW7dOg4dOkTr1q1vWxrw999/5+uvv2b//v2cPXuW2bNnk5qaetuSfSIiIiIiIjmNluMTEREREZFsydnZmU2bNtGnTx8aNmxITEwMAQEBVK9eHXd390dq64svviA2NpZ69erh5uZGjx49iIqKSnvd09OTxYsXM3jwYBISEggKCuLHH3+kaNGilu6WiIiIiIhIlmEyHmaBcxERERERkRxgw4YNVK1alcjIyHTZy8lkMrFkyRLq169v8bZFREREREQyGy3HJyIiIiIi8h+BgYE0b97cYu116NABV1dXi7UnIiIiIiKSFWgmlIiIiIiIyP+Lj4/nwoULwM29oHx9fS3S7uXLl4mOjgbAz88PFxcXi7QrIiIiIiKSmakIJSIiIiIiIiIiIiIiIhan5fhERERERERERERERETE4lSEEhEREREREREREREREYtTEUpEREREREREREREREQsTkUoERERERERERERERERsTgVoURERERERERERERERMTiVIQSERERERERERERERERi1MRSkRERERERERERERERCxORSgRERERERERERERERGxuP8DBWEqII8wD14AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1600x350 with 1 Axes>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nixtla_client.plot(df, time_col='ds', target_col='y')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "9a8d9a84",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:nixtla.nixtla_client:Validating inputs...\n",
      "INFO:nixtla.nixtla_client:Preprocessing dataframes...\n",
      "INFO:nixtla.nixtla_client:Querying model metadata...\n",
      "INFO:nixtla.nixtla_client:Restricting input...\n",
      "INFO:nixtla.nixtla_client:Calling Forecast Endpoint...\n"
     ]
    },
    {
     "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>unique_id</th>\n",
       "      <th>ds</th>\n",
       "      <th>TimeGPT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>D1</td>\n",
       "      <td>1961-01-01</td>\n",
       "      <td>437.83792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>D1</td>\n",
       "      <td>1961-02-01</td>\n",
       "      <td>426.06270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>D1</td>\n",
       "      <td>1961-03-01</td>\n",
       "      <td>463.11655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>D1</td>\n",
       "      <td>1961-04-01</td>\n",
       "      <td>478.24450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>D1</td>\n",
       "      <td>1961-05-01</td>\n",
       "      <td>505.64648</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  unique_id         ds    TimeGPT\n",
       "0        D1 1961-01-01  437.83792\n",
       "1        D1 1961-02-01  426.06270\n",
       "2        D1 1961-03-01  463.11655\n",
       "3        D1 1961-04-01  478.24450\n",
       "4        D1 1961-05-01  505.64648"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "timegpt_fcst_df = nixtla_client.forecast(\n",
    "    df=df,\n",
    "    h=12,\n",
    "    freq='MS',\n",
    "    time_col='ds',\n",
    "    target_col='y'\n",
    ")\n",
    "timegpt_fcst_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "3b24e594",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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+j06dOmGxWDhw4ABTpkxhypQp/P3vfy9ef8899/DSSy+Rk5PD7NmzeeSRRzCbzbz33nu89tprxevCwsL4+uuvueqqqxwSpyrWRERERERERERERJxk165jGIZB/fq1uW5YF7764u80bRJKamomj4z/ksnfL8cwDFeHWeMVt4EML1kbyCJFrSDzUnMwrDaHxyVVm2EY2PJtLrmV9PtKaGho8S0wMBCTyXTefX9tBTlu3DiGDx/OK6+8Qr169QgKCuLFF1+koKCAJ554gtq1axMREcFXX311zlknTpzgxhtvpFatWgQHB3Pddddx+PDh4sefeeYZjh49yrp167jjjjto27YtLVu2ZOjQoUyZMoUHH3zwnP18fHwIDQ0lKiqKhx56iAEDBvDrr78SGBh4znMACAoKOu++slLFmoiIiIiIiIiIiIiTFLWBbNumIQAREcF89un9vPnWb8yZu4WPPp7Ljp1HeO6Zkfj7e7sy1BrLMAxy4rMA8CrhfLUi7n4euHmaseVayUvNxTNEr6H8ySgwODJ57+UXOkHDW1tg8ihfy8NLWbx4MRERESxfvpxVq1Zx1113sWbNGvr06cO6deuYNm0a999/P4MGDSIyMpKsrCz69+9P7969Wb58Oe7u7rz88stcddVVbN++HXd3d6ZNm8att95K/fr1L3jm5Vo4ent7n9Mu0llUsSYiIiIiIiIiIiLiJEWJtTaFiTUALy8Lzz07kiefGI6Hh5kVK3Zz593/Zf/++IttI05UkJFPQUY+mMCrXsnnq4H9jf7idpCasyY1SO3atXn//fdp0aIFd955Jy1atCArK4tnnnmGZs2a8fTTT2OxWFi1ahUAU6dOxc3NjS+++II2bdoQHR3N119/zdGjR1m6dCmnT5/mzJkztGjR4pxzOnXqVNyK8uabb75gLDabjblz5zJv3jwGDBjg9Ofu8oq1EydO8NRTTzFnzhyys7Np3rw5X375JZ06dQLsnxZ48cUX+eyzz0hNTaVbt27897//pVWrVsV75Obm8vjjj/PDDz+QnZ3NgAED+Oijj4iIiHDV0xIREREREREREZEarqDASmzsMeDPirUiJpOJ4dd1pUWLcJ59bgonTqRwz30f85+Xb6Fnj5auCLfGyj5pbwPpWdcbN4/S16JYQrzIPpmpOWtyHpO7iYa3trj8Qied7UytWrXCze3Pr5d69erRunXr4j+bzWaCg4NJTLTPmNy0aRMHDhzA39//nH1ycnI4ePAg7dq1s8f9l6q0GTNmkJeXx1NPPUV2dvY5j3300Ud88cUX5OXlAXDbbbfx73//23FP8iJcmlhLTU2lZ8+e9O/fnzlz5lC3bl0OHjxIUFBQ8Zo33niDd955h2+++YbmzZvz8ssvM2jQIPbu3Vv8AowfP55Zs2YxdepUgoODeeyxxxg6dCibNm3CbDa76NmJiIiIiIiIiIhITbb/QDw5Ofn4+3kRFVXngmuiW0bw9ZcP8eJL01m7bh+ffbZAibUKVtQG0ruUbSCLFFWs5SVlX2al1DQmk8mp7RhdycPD45w/m0ymC95ns9lnD9psNjp16sT3339/3l516tTB39+foKAg9uzZc85jDRo0AMDf358zZ86c89iYMWN49tln8fT0JDw8vMLyQS5tBfn6668TGRnJ119/TdeuXYmKimLAgAE0adIEsFervfvuuzz77LNcf/31tG7dmkmTJpGVlcWUKVMAOHv2LF9++SVvv/02AwcOpEOHDkyePJkdO3awcOFCVz49ERERERERERERqcG2b7e3gWzdusE5lR1/FRjow7+eGgHAobhTZGfnVUh8Yn8POjveXrFW2vlqRYrmquWl5mIrsDksNpHqpGPHjuzfv5+6devStGnTc26BgYG4ubkxevRoJk+ezIkTJ0q0Z2BgIE2bNiUyMrJCi6xcmlibOXMmnTt3ZtSoUdStW5cOHTrw+eefFz8eFxdHQkICgwcPLr7P09OTvn37snr1asBePpifn3/OmvDwcFq3bl285q9yc3NJS0s75yYiIiIiIiIiIiLiSDsuMF/tYurUCSAk2B+r1ca+fSedHZoUyk/NxZZjxeRuwquOd5n2MPu64+ZpBsO+n4icb8yYMYSEhHDdddexYsUK4uLiWLZsGY8++ijHjx8H4JVXXqF+/fp069aNr776iu3bt3Pw4EFmzJjBmjVrKk2HQpcm1g4dOsTHH39Ms2bNmDdvHvfffz+PPPII3377LQAJCQmAvTfn/6pXr17xYwkJCVgsFmrVqnXRNX/16quvEhgYWHyLjIx09FMTERERERERERGRGswwDLbvOAqcP1/tQkwmE9ExEQDE7j7u1NjkT9mFbSC96vlgMpetZZ/JZMIzxN4OUnPWRC7Mx8eH5cuX06BBA66//nqio6O58847yc7OJiAgAIDg4GDWr1/P2LFjefPNN+natStt2rRhwoQJ3HjjjecUZrmSS2es2Ww2OnfuzCuvvAJAhw4d2LVrFx9//DFjx44tXvfXYXWGYZx3319das3TTz/NP//5z+I/p6WlKbkmIiIiIiIiIiIiDpOQcIakpDTMZjdiChNmlxMTHcmKFbuJ3X3MydFJkfK2gSxiCfYi+0QmuUnZQK3LrhepjMaNG8e4cePOu3/ChAlMmDCh+M/ffPPNeWuWLl163n2HDx8+58+hoaFMmjTpkjEEBgbyyiuvFOeNLuZC512MYRglXlsSLq1YCwsLIyYm5pz7oqOjOXrU/kmO0NBQgPMqzxITE4ur2EJDQ8nLyyM1NfWia/7K09OTgICAc24iIiIiIiIiIiIijrK9sA1k8+bheHlZSnRNq8IE3O5YVaxVBMNmkJNgr1jzDvMp117Fc9ZUsSZS7bk0sdazZ0/27t17zn379u2jYUN7aXSjRo0IDQ1lwYIFxY/n5eWxbNkyevToAUCnTp3w8PA4Z018fDw7d+4sXiMiIiIiIiIiIiJSkbZvtyfWStIGskjLlvbE2sn4VFJTM5wSl/wpNykHI9+Gm8UNS22vcu3lGWy/Pi81F1uBzRHhiUgl5dLE2j/+8Q/Wrl3LK6+8woEDB5gyZQqfffYZf//73wF7C8jx48fzyiuvMGPGDHbu3Mm4cePw8fHhlltuAexlgXfddRePPfYYixYtYsuWLdx66620adOGgQMHuvLpiYiIiIiIiIiISA21o7BirU2bBiW+xs/Pi4YN6wCwe88Jp8Qlf8r5nzaQJreyzVcrYvZ1x83LDIY9uSYi1ZdLZ6x16dKFGTNm8PTTT/PSSy/RqFEj3n33XcaMGVO85sknnyQ7O5sHH3yQ1NRUunXrxvz58/H39y9eM3HiRNzd3Rk9ejTZ2dkMGDCAb775BrPZ7IqnJSIiIiIiIiIiIjVYRkYOBw+dAkpXsQYQEx3BkSOniY09Ro/uLZwRnhTKPmlPrJW3DSTYi0Q8C+es5SVl41XHu9x7ikjl5NLEGsDQoUMZOnToRR83mUznDcb7Ky8vLz744AM++OADJ0QoIiIiIiIiIiIiUnK7Yo9hGAbhYbUICQko1bUx0RHMmbuF3bs1Z82ZbAU2ck9nA/aKNUfwDLEn1nI1Z63GMwzD1SFIGZT0dXNpK0gRERERERERERGR6qa4DWTb0lWrAUTHRAIQu/u43px3otzEbAyrgdnHHY9Ai0P2tATbq9Ryk5RYq6k8PDwAyMrKcnEkUhZFr1vR63gxLq9YExEREREREREREalOtm+3J9ZK2wYSoGmTUDw8zJw9m8WJkylE1A92dHgCZMcXtYH0xWQq33y1Ip4hXgDkn8nFVmDDzV11LTWN2WwmKCiIxMREAHx8fBz270ucxzAMsrKySExMJCgo6LJjxpRYExEREREREREREXGQggIru2KPAWVLrFks7jRrGkbs7uPExh5XYs1Jcgrnq3k5YL5aEbOPO2ZvM9ZsK3kpuXjV1Zy1mig0NBSgOLkmVUdQUFDx63cpSqyJiIiIiIiIiIiIOMjBgwlkZ+fh5+dFo0Z1y7RHTEwEsbuPs3v3cQYPaufgCMWaay2eg+btoPlqACaTCUuwF9nHM8lLylZirYYymUyEhYVRt25d8vPzXR2OlJCHh8dlK9WKKLEmIiIiIiIiIiIi4iDbC+ertW7VADe3srUCjI6OBNYSu/uYAyOTIjmnssAA9wAL7n6XnqVUWp4h3mQfzyxO3EnNZTabS5yokapFTV5FREREREREREREHKQosdamTYMy7xETEwHA3r0nKSiwOiQu+VNRG0hvB7aBLGIJts9Zy01SYk2kulJiTURERERERERERMRBduw4CkCbMsxXKxIZEYyfnxd5eQUcPHTKUaFJoez4LAC8wx3XBrKIZ4g9sZZ/Nhdbgc3h+4uI6ymxJiIiIiIiIiIiIuIACQlnSEw8i9nsRquYyDLv4+bmRnRLe9Xa7li1g3SkgqwC8s/kAuAV6viKNXcfD8zeZjAgT+0gRaolJdZEREREREREREREHKCoDWSzpmF4e1vKtVd0tD2xFrv7eLnjkj9ln8wAwFLbE7OXu1POsIR4A2jOmkg1pcSaiIiIiIiIiIiIiAPscMB8tSJFc9aUWHOszENpAPg08HfaGZ6Fc9byNGdNpFpSYk1ERERERERERKSaSUvL5qOP5/LQI18Qn5Dq6nBqjKKKtbblmK9WJKawYi0uLpHMrNxy7ydgzSkg+2QmAH6NA5x2TtGcNVWsiVRPSqyJiIiIiIiIiIhUEzk5eXz73TJGjX6Tyd8vZ/PmQ/z22wZXh1UjZGblcvBgAgBt25Y/sRYSEkC9uoEYhsG+vSfKvZ9AZlwaGGAJ9sIj0NNp51gKK9byz+Ziy7c57RwRcQ3nNJEVERERERERERGRClNQYGXW7I18/fVikpLTAfD38yI9I4fY2GMujq5miN11DJvNIDQ0iDp1Ah2yZ3RMBKcSzxK7+zgdOjR2yJ41WUacvQ2kM6vVANx9PDB7u2PNLiAvJQevej5OPU9EKpYSayIiIiIiIiIiIlWUzWZj0eIdfPb5Ak6cSAEgLKwW99w9kEaN6nHHnR+ye89xbDYbbm5qXuVMjmwDWSQmOpKlS3cRG6s5a+WVn5FP7qlsAHwbOTexBvZ2kFnHMshNUmJNpLpRYk1ERERERERERKSKMQyDdev28/Gn89i/Px6AWrV8uWPclVw3rAseHu4UFFjx8vIgMzOXI0dO06hRPRdHXb0VJdbaODSxZp+zFrtbibXyyjx0FgCvUB/cfT2cfp4l2J5Yy9OcNZFqR4k1ERERERERERGRKubD/87hh6krAfD19eSWm3tz4+ie+Pj8OTfK3d1My5b12br1MLtijyux5kRWq41du+wtNx1ZsdaiZX1MJhOnTp0hOTmd4GB/h+1d02QWtoH0dXIbyCKeIfY5a7lJ2RVynohUHNV/i4iIiIiIiIiIVCF5eQX8MmMdAKNH9eDHaY9zx7grz0mqFWkVEwnArl1HKzTGmubgoQSysnLx9fWkcWPHJTB9fTyJiqoDqGqtPPJSc8lLyQU38I2qmMSaJdgbgPyzedjybRVypohUDCXWREREREREREREqpCdO4+Sm5tPcLA/jz5yDUFBvhddG1OYWNOMLufasd3eBrJVqwaYzY59yzUmuug1PObQfWuSjMI2kD71/TB7mivkTHcfd8w+9oZxagcpUr0osSYiIiIiIiIiIlKFbNx0EIBOHRtjMpkuubZ1K3tS5uChBLKz85weW01VNF+tbZsGDt87JkZz1srDMIwKbwNZxDO4sB2kEmsi1YoSayIiIiIiIiIiIlXIho0HAOjcuell19apE0idOgHYbAZ79p5wdmg11vYd9labbVo7br5akZhoe2Jtz+7j2GxqKVhauUk5FKTnY3I34RNZsTPqLJqzJlItKbEmIiIiIiIiIiJSRWRk5LBnjz1B1rlTkxJd0ypGrQSdKTHxLKdOncHNzURMYYWgIzVpEorF4k56Rg7Hj6c4fP/qLvNgYRvIBv64eVTs2+GehXPW1ApSpHpRYk1ERERERERERKSK2LI1DqvVRmREMKGhQSW6pmjO2q5dSqw5w9ZthwFo2jQMXx9Ph+/v7m6mefNwAGJ36zUsDcNmkHnY3gbSr4LbQAJ41vECE+SfzSP/rFqxilQXSqyJiIiIiIiIiIhUERuL20CWrFoNoFXhjK5dqlhzihUrYgHo2uXyrTnLqqgdpOaslU5OQhbWbCtunma86/tV+PlmL3e8w30BSD9wpsLPFxHnUGJNRERERERERESkiti48SBQsvlqRVq2jMDNzcTp02mcPn3WWaHVSDk5eaxesxeA/v1bO+2cosTa7lgl1koj45D937tvlD8mN5NLYvBrFmSP5cBZDJvhkhhExLGUWBMREREREREREakCkpLSiDuciMlkolPHxiW+ztvbQpPGoYCq1hxt3br9ZGfnERZWi5Yt6jvtnKJ2nvv2nyQ/v8Bp51QntgIbmYfTAfBtHOiyOHwi/XCzuGHNKiAnPtNlcYiI4yixJiIiIiIiIiIiUgVs3GSvVmvRPJyAAJ9SXRtT1A5ylyqeHGnxkh0A9O/XGpPJeRVR9evXJiDAm/x8KwcOJjjtnOok+0QGRr4Ns487XvW8XRaHm7tbcWIv/YAqRkWqAyXWREREREREREREqoCixFqnTiWfr1akVWHF067Yow6NqSbLzc1n1ao9gD2x5kwmk4mYaPtrGKt2kCWScSgNAL/GAU5NepaEf1N7Yi3rSDrWXKtLYxGR8lNiTUREREREREREpJIzDINNxfPVSp9YK2oluGfPCQoK9Ma+I6zfcICs7Dzq1Q0srgh0pqIzdu9WYu1ybHlWso9lAK5tA1nEEuKFR5AFw2qQeTjN1eGISDkpsSYiIiIiIiIiIlLJHTuWzKnEs3h4mGnXtmGpr4+KqoOvryc5OfnExSU6IcKaZ8mSnQD0c3IbyCLR0fbEWuxuzcm7nMyj6RhWA49AC5banq4OB5PJhH/TIAAy9qsdpEhVp8SaiIiIiIiIiIhIJbdx0wEA2rRugJeXpdTXu7m5Ed2ycM5arBIz5ZWXV8DKVbsB57eBLFKUWDtyJImMjJwKObOqyixsA+lbCdpAFvFtEggmyD2dTd6ZXFeHIyLloMSaiIiIiIiIiIhIJbexuA1k0zLvUdQOMlaJtXLbuOkgGRk5hAT707p1ZIWcWbuWH2FhtTAMgz171A7yYqzZBWSfzATArxK0gSzi7uOOd4QfABkHVLUmUpUpsSYiIiIiIiIiIlKJWa02Nm0+BEDnTqWfr1akVSt7AmjXLiXWyuvPNpCtcHOruLdYY4rbQSqxdjGZh9PAKJxrFlD66k5n8m9qT/RlHDyLYTNcHI2IlJUSayIiIiIiIiIiIpXYvv0nSU/PxtfXk5Yt65d5n1Yx9qTM4SOnycxUK8GyKiiwsnxFLFBxbSCLFM9Zi1Vi7WIyCttAVqZqtSI+kX64eZqxZv1ZVSciVY8SayIiIiIiIiIiIpVYURvIDh0a4+5uLvM+tWv7F7cS3K2KpzLbtPkQ6enZ1KrlS9u2URV6dkxhcnTHziMUFFgr9OyqID89j9zEbAB8G/m7OJrzmcxu+DUOANQOUqQqc2libcKECZhMpnNuoaGhxY8bhsGECRMIDw/H29ubfv36sWvXrnP2yM3N5eGHHyYkJARfX1+GDRvG8eP6wUBERERERERExJFycvJ4/4M/GHPbuxw5etrV4dQoRYm1Lp3L3gaySFFiZpcqnsqsuA1k31aYzRX79mpMdCRBQb6kpmYWV83Jn9J2pwLgFeaDu4+Hi6O5ML/CdpBZR9Ox5io5KlIVubxirVWrVsTHxxffduzYUfzYG2+8wTvvvMOHH37Ihg0bCA0NZdCgQaSnpxevGT9+PDNmzGDq1KmsXLmSjIwMhg4ditWqb0oiIiIiIiIiIo6wc+dRxt3xIVOnrSQuLpHFi3dc/iJxiNzcfLZtPwyUb75akVYxhXPWYjVnrSzsbSDtH/yv6DaQABaLO9cN6wLATz+vqfDzK7PsExmk7UoBIDCmtoujuThLsBcetTwxrAaZcWmuDkdEysDliTV3d3dCQ0OLb3Xq1AHs1Wrvvvsuzz77LNdffz2tW7dm0qRJZGVlMWXKFADOnj3Ll19+ydtvv83AgQPp0KEDkydPZseOHSxcuPCiZ+bm5pKWlnbOTUREREREREREzpWXV8BHH8/l/gc/5eixpOLqHLURrDg7dh4lL6+AkGB/oqLqlnu/4sTarqMYhlHu/WqardsOc+ZMFkFBPrRv38glMYwY3g2z2Y2tWw9z4EC8S2KobKzZBZxecRIA/xZB+DSofG0gi5hMJvyb2avWMvafcW0wIlImLk+s7d+/n/DwcBo1asRNN93EoUOHAIiLiyMhIYHBgwcXr/X09KRv376sXr0agE2bNpGfn3/OmvDwcFq3bl285kJeffVVAgMDi2+RkZFOenYiIiIiIiIiIlXTnj0nuOOuD5n8/XJsNoOrhnTgtVdvLX5MKkZRG8hOnZtgMpnKvV/z5uGYzW6kpmaSkHCm3PvVNEVtIPv0blWueXflUbduIH37xADwo6rWMAyD0ytOYs224hHkSe2u9Vwd0mX5NQ4EE+Qm5ZB3JtfV4YhIKbk0sdatWze+/fZb5s2bx+eff05CQgI9evQgOTmZhIQEAOrVO/cbYb169YofS0hIwGKxUKtWrYuuuZCnn36as2fPFt+OHVPpu4iIiIiIiIgIQH5+AV98uZB77vuYuLhEatXy5bVXb+WF50fRqWNjzGY3kpLTOX36rKtDrRE2bbIn1hzRBhLA09ODZs3CALWDLC2r1cay5YVtIPtXfBvI/zVyZHcA5s/fRlpalktjcbW0nSlkn8jEZDZRt1993NxdXktyWWZvd3wi/ABVrYlURS79LnP11Vdzww030KZNGwYOHMjvv/8OwKRJk4rX/PWTOIZhXPbTOZdb4+npSUBAwDk3EREREREREZGa7uDBBO657xO++noxVquNK/u35vvvxtOnt706xsvLQqPCdoS7VbXmdOnp2ezeY2+76ajEGmjOWllt336YlJQM/P296dSxsUtjadc2imZNw8jNzWfW7I0ujcWVck9nk7IpEYDa3ephqeXp4ohKzq9ZEAAZB89i2NSWVaQqqVTpe19fX9q0acP+/fsJDQ0FOK/yLDExsbiKLTQ0lLy8PFJTUy+6RkRERERERERELm/27I3ccdd/2bfvJAEB3rz04k28/H+3EBTke866li3rA5qzVhG2bI3DZjNoEBlCvXpBDts3pjCxFqvEWqksWVrUBjLGZW0gi5hMpuKqtV9mrMNqtbk0Hlew5VlJXHYCDPCN8se/eZCrQyoVnwg/3DzNWLOtZJ/IcHU4IlIKlSqxlpuby+7duwkLC6NRo0aEhoayYMGC4sfz8vJYtmwZPXr0AKBTp054eHicsyY+Pp6dO3cWrxERERERERERkUvLzs5j4nuzKSiw0qtXNN9/N56BA9pecG10dASgOWsVYePGAwB07uy4ajX4s2Jt796T5OcXOHTv6spms7F0aeVoA1lk8KB2BAR4Ex+fyqrVe1wdToUyDIOkNQkUpOfj7udBcI8wh8wgrEgmswm/JoEApB9Qa12RqsSlibXHH3+cZcuWERcXx7p16xg5ciRpaWncfvvtmEwmxo8fzyuvvMKMGTPYuXMn48aNw8fHh1tuuQWAwMBA7rrrLh577DEWLVrEli1buPXWW4tbS4qIiIiIiIiIyOWtWBFLdnYe4eG1ef3VWwkO9r/o2uKKtT3HMQy1L3OmjUXz1RycWIuMDMbf35u8vAIOHEy4/AXCzp3HSEpOx8/Py6FtOcvD09ODa4d2AeCnn9a4OJqKlXHgLJmH0sAEdfqGY/Z0bQVhWfk1syfWso5mYM1RklukqnBpYu348ePcfPPNtGjRguuvvx6LxcLatWtp2LAhAE8++STjx4/nwQcfpHPnzpw4cYL58+fj7//nD3cTJ05k+PDhjB49mp49e+Lj48OsWbMwm6vmN1MRERERERERkYo2b8E2AIYMbnfZqo8mjUPx8DCTlpZNfHzqJddK2Z0+fZbDh09jMpno2MGxiRyTyVRctRa7S+0gS6KoDWSvntFYLO4ujuZP11/fDTc3Exs3HSQu7pSrw6kQeWdzSV5rTwjX6lAHr7o+Lo6o7Dxre2Gp7Qk2w54oFJEqwaWJtalTp3Ly5Eny8vI4ceIEP//8MzExMcWPm0wmJkyYQHx8PDk5OSxbtozWrc8ttfby8uKDDz4gOTmZrKwsZs2aRWRkZEU/FRERERERERGRKiklNYP16/cDMHhw+8uut1jcadIkFFA7SGfauOkQAC1ahBMQ4O3w/WNi7C09d8VqVt7l2Gy24sRaZWkDWSQstBa9ekYD8NPPa10cjfMZVhunl57AKDDwCvMhsE2wq0MqN79mQYDaQYpUJZVqxpqIiIiIiIiIiFSsxYt3YLXaaNmyPg0b1CnRNdH/0w5SnKN4vpqT2g4WV6zFqmLtcnbvPkFi4ll8vC107dLU1eGcZ+TI7gDMnbeFjIwcF0fjXCkbEslLycXN00ydPuGY3KrWXLUL8WscAG6Ql5xDbnL1fv1Eqgsl1kREREREREREarB587YCMKQE1WpFolvaq512q2LNKQzDKJ6v1qWzcxI5MYWJtaPHkkhLy3LKGdVFUbVaz54t8fT0cHE05+vUsTGNGtUlOzuP3//Y5OpwnMIwDM5sSyJtt739bJ3e4bj7VL7XoizMXu74NrCPPsrYf8a1wYhIiSixJiIiIiIiIiJSQx07lsSu2GO4uZkYOKBtia9rWVixtnfvCWw2m7PCq7GOHD3N6dNpWCzutG3b0ClnBAb6EBFhb6MXq3aQF2UYRqVtA1nEZDIx6gZ71drPv6ytdl+TBVn5JMw7Surm0wAEtgnGJ9LPxVE5ll/zIAAyDp7FVlC9Xj+R6kiJNRERERERERGRGmr+gm2AvSoqONi/xNdFRdXF09ODzMxcjh1PdlZ4NdamjfZqtTZtGji1Qqqoam2X2kFe1N69J4mPT8XLy4MrujV3dTgXNWRIB/z9vDh+PJm16/a7OhyHyTqewYnf4siJz8LkbiKkVxi1OpWsZW1V4h3ui7ufB7Y8G1lH0l0djohchhJrIiIiIiIiIiI1kGEYzJu/FYAhQ9qX6lp3dzPNm4cBsHu3qp0cbc26fQB07uTceV6tW2nO2sXYbDbmL9jGs89PAaBnj5Z4eVlcHNXFeXtbuOaazgD89NMaF0dTfobVIHn9KU4tOIYtx4qltifh1zbCv1kQJlPVn6v2VyaTCb9mgQCk7zvj2mBE5LKUWBMRERERERERl7FabRQUWF0dRo20e/dxjh9PxsvLgz69Y0p9fdGctT2as+ZQp0+fZe1ae2Ktb9/Svy6l8b8Va4ZhOPWsqmTLlkPcfe/HTHhxGvHxqYQE+zPu9v6uDuuybrj+CkwmE2vX7ePo0SRXh1Nm+Wl5nPz9MGm7UgAIiK5F2DVRWII8XRyZc/k3DQIgJyGL/LQ81wYjIpfk7uoARERERERERKR6ys3NZ9/+eJKT00hOSic5JYPk5HSSktNJTk4nJTmdlNQMPDzc+eTj+2jRPNzVIdcocwur1fr0jsHHp/RvWBfNWdu9RxVrjjT7903YbAbt20cR1bCuU89q1jQUi8WdtLRsjh9PJjIyxKnnVXZxcaf46ON5rFq9BwAfbwtjxvThpht74e1deavVitSvX5se3VuwavUefv5lDf8Yf62rQyq1jINnSVqdgFFgw83TTEivMHwblLxNbVXm7ueBd31fsk9kkr7/DLU7OffrX0TKTok1EREREREREXE4m83GfQ98yr59Jy+7Njc3n5kzN/DE49dVQGQCUFBgZeHC7QAMHty+THtER9sr1vbti6egwIq7u9lR4dVYVquNWbM3AnDdsK5OP8/Dw51mzcLYtesYu2KP1djEWlJSGl98uYjZv2/EZjMwm924blgX7rxzALVr+bk6vFIZObI7q1bv4fc/NnPvvYPxLUPS3BVs+TaS1yaQceAsAF71fKjTNxx3X+fNGKyM/JsHkX0ik4z9Z6nVoQ4mt+rX9lKkOlBiTUREREREREQcbuWqPezbdxKLxZ3mzcMJru1HcLA/wcH+hIQEULu2HyHB/hw5msSEF6exbPku/vmPazGbNbWiImzYcIAzZzIJCvKla5eyzfGKjAjG19eTzMxcDh9OpGnTMAdHWfNs2HCAhIQz+Pt7069vqwo5s1VMJLt2HWPbtsNcNaRDhZxZWRQUWPlm0hKm/LCCnJx8APr2ieH++4fQsEEdF0dXNl06N6FBgxCOHk1i7pzN3HBDd1eHVCIp60/Zk2omCGofQlDbkBqZVPKJ9MfNy4w1u4Ds4xn41JBqPZGqRok1EREREREREXEowzCY/P1yAG4c3ZMH7h9y0bVNmoTy9jszSUnJYPuOI3Ro36iiwqzR5i3YBsDAAW3KXGnm5uZGixb12bz5EHv2nFBizQF+m7kegKuv6oCnZ8VU6lxxRXOm/7iaZct38dg/h9WoysPvJi/jq68XA9CqVSQPPXg17dpFuTaocnJzc2PkDd15Z+IsZs7aWCUSa/npeaTvPwNAvQGR+ERWrSpBRzKZTfg1CSRtVwrp+84osSZSSeljYCIiIiIiIiLiUNu2H2bnzqNYLO6MHtXjkmvd3c307h0NwJKlOysivBovKyuX5ct3ATBkcPkqlKKL56ydKHdcNV1SUhorV9lnew27tkuFndu5UxNq1/bjzJks1q3fX2HnulpmZg5Tp64E4NFHruGzT+6v8km1IoMGtsNkMrH/QDyJiWddHc5lndmWBAZ41/et0Um1Iv7NgwDIOp5BQVa+a4MRkQtSYk1EREREREREHKqoWu3qqzoQHHz5T9v379cagKVLd2Gz2Zwam8CKlbvJycmnfv3axMRElGuvli2KEmvHHRFajfb7H5uxWm20bdOQxo3rVdi57u5mBg5oC8C8eVsr7FxX++nntaRn5BAVVYeRN3THZKo+bQcDA31o1SoSgNVr9ro4mkvLT8srnqsW1KFqtt90NEuQJ551vcGg+O+mpGwF+n+oSEVQYk1EREREREREHObgwQRWr96LyWTilpt7l+iaLp2b4uvrSVJSGjt3HnNyhFKUPBkyuH25kwnR0fbE3IEDCeTlFZQ3tBrLZrMxc9YGAK4bVnHVakWGDGkP2JOumVm5FX5+RcvMyuWHqSsAGDe2f7Wc7dijewug8ifW/rdazauOt6vDqTSKqtbS953BMIwSXWPLtxH/xxFSNpwq8TUiUjbV7/8aIiIiIiIiIuIyk6fYq9X692tFZGRIia6xWNzp1UvtICtCSko6GzYeAOyJtfIKC6tFYKAPBQVWDh5KKPd+NdWGjQeJj0/F38+LK69sU+Hnt2xRnwaRIeTm5rN82a4KP7+izZixjrS0bBpEhjCgsFqvuulemFjbuPFApU1655/NI+OgvSKrlqrVzuEbFYDJ3Y2C9HxyTmVddr1hM0hcepy85BzS95/FmlU5X3OR6kKJNRERERERERFxiPiEVBYu3A7ArWP6luraonaQS5buVDtIJ1q4aAdWq42Y6IgSJz4vxWQyFbeD3KM5a2U2c6a9Wm3IkPZ4enpU+Pkmk6m4am3u/K0Vfn5Fys7OY8oP9mq128f2q5bVagDNm4UREhJATk4+W7bGuTqcCyquVovww1PVaudw83DDr3EAYK9auxTDMEhek0D28UxMZhP1Bkbi7lvx30dEapLq+X8OEREREREREalwU6euxGq10blTE1q2rF+qa7t1bYaPt4XExLPs3q0EjbPMK0yaFCVRHKHotd69W3PWyiIlJZ3lK2IBuG5YV5fFMWhQOwA2bTpIUlKay+Jwthm/ruPMmUzCw2sXP+fqyGQy0b17cwDWVMJ2kHlnc8k4VFStVv4kf3VU1A4y63A61lzrRded3Z5sT76ZoE7f+njVVZJSxNmUWBMRERERERGRcjtzJpNZszcCcOutfUp9vaenBz17tgTUDtJZjh5NYvfu45jNbg5tf1c0Z00Va2Xz+x+bsVpttGoVSZMmoS6LI6J+MK1bN8BmM1i4aLvL4nCmnJw/q9XGje2Hu7vZxRE5V48rKu+ctTNb7dVqPpF+eIYoEXQhlhAvPII8MawGmYVJyL9KP3CW1M2nAQjuVg/fhv4VGaJIjaXEmoiIiIiIiIiU208/ryEnJ58WzcPp0rlpmfbo3//PdpCGYTgyPAHmL9gKQNcuTaldy89h+0YXVqzFHU4kJyfPYfvWBDabjZmz7G0gXVmtVmRIYQXX/PnbXByJc/w2cwMpKRmEhdXiqqs6uDocp+vcpSnu7maOH0/m6NEkV4dTLO9MLpmH7FWRQZqtdlEmk6m4au1C7SCzT2aStPIkAIGtaxMQXbsCoxOp2dxLsqhjx46l2tRkMjFz5kzq1y9d2wcRERERERERqXqys/P46ec1ANw6pg8mk6lM+1zRrTleXh7Ex6eyd+/JUreTlIszDKO4DeTgwe0dunedOoGEBPuTlJzO/v3xtGnT0KH7V2ebNx/ixIkUfH09GXBlG1eHw5VXtuHd939nz94THD6SSFTDuq4OyWFyc/P5/vvlAIy9rfpXqwH4+njSvl0UGzcdZM3avTRo4JyWizkJWXgEWTB7leitZnu1GuDTwA/PYC+nxFRd+DUJIGVjInkpueQmZRdX9+Wl5HBq8XEwwLdRALU6V5+vVZGqoETf7bZu3cpjjz2Gn9/lP81kGAavvfYaubm55Q5ORERERERERCq/WbM3kpaWTf36tenXr3WZ9/HystCjewsWL9nJkqU7lVhzoF27jnHiRAre3hb69I5x+P4tW9Zn5ao97N5zQom1Uvhtpr1abcjg9nh7W1wcDdSq5Ue3bs1YvXov8+dv4957Brk6JIeZPXsjScnp1KsbyN+urv7VakV69GjBxk0HWb16LzeO7unw/W151sIEj0FQ+xACWtbGZL74hyvyUnPJjFO1WkmZvdzxbehPZlwa6fvP4hniTUFmPgkLjmHk2/Cq50Od3mFl/kCLiJRNyT5GADzxxBPUrVuyzPfbb79d5oBEREREREREpOooKLDyw9SVANxyc2/M5vJNnejfr3VxYu3++wbrzUIHKWoD2adPjFMSONHREYWJteMO37u6Sk3NYNnyWACGDevi4mj+NGRw+8LE2lbuuXtgtfgazMsr4LvCarXbbuuLh0eJ3xKt8np0b8n7H/zBlq1xZGXl4uPj6dD9C7ILcPd1Jy8ll5T1iaTtOUPtLnXxifS74L+dM1vt88B8GvrjWVvVaiXh3zyIzLg0Mg+dJahdCAkLjmHNKsAj0ELdARGYyvn/XREpvRJ91cXFxVGnTsk/QRAbG0vDhvp0koiIiIiIiEh1t3DRdk6dOkPt2n787erSjZK4kO7dW2CxuHP8eDIHDiQ4IEIxDIPlK3YDMHBAW6ec0bKFvbpwz54TTtm/OpozZwsFBVaioyNo3izc1eEU690rGh9vCyfjU9m586irw3GIP/7YRGLiWerUCWDoNZ1dHU6FiowMpn792hQUWNmw8WCprrVabTzz7PcsWLgNq9V2wTWWQE/Cr21ESM8wzN5mCtLySFx0nIR5R8lLyTlnbV5KDpmH0wGo1d45bSmrI68wH9z9PLDl2Tg5K4781FzM3mbqDW6A2bP6tzQVqYxKlFhr2LBhqT6dEhkZidmsL2oRERERERGR6swwDCYXVoGMHtUDT0+Pcu/p4+NJ9yuaA7Bk6c5y7ydw6NApEhPPYrG407lTE6ecUdS28+jRJDIzcy6zWgzD4LeZ6wG4rhJVq4G9JWvfvq0AmDtvq2uDcYD8/AImfbcMsM+AtFhqTrUagMlkokf3FgCsXrOnVNcuXbqTpct28dbbM8nJzb/4GW4m/JsHEXF9EwLbBGMym8iJz+LEzDiSVsVjzS4AILVwtppvlD8WVauVmMlkwq9ZIADWrAJM7ibqDYzEw6/8/88VkbIpdZ1oVFQUL730EkePVo9PrIiIiIiIiIhI2axes5dDh07h4+PJiOHdHLZv/8I5bYuX7MAwDIftW1OtWbsPgE6dmjgk+XkhtWr5ERoahGEY7N170ilnVCdbtsRx7HgyPt4Wp1URlseQIe0B+9dgfn6Ba4Mppzlzt3Dq1BmCg/0Zdm3lSmJWlO6FibU1a/aV+HuqYRh8W5iQHD2qB74laCHpZjFTu3Nd6o9ojG+UPxiQvu8Mx34+SPL6U2QdsVerBbXXbLXS8m8WZH8n3wR1+0fgGeLt6pBEarRSJ9Yee+wxfvvtNxo3bsygQYOYOnUqubm5zohNRERERERERCqxomq14dd1xd/fcW/y9ezZEg8PM0ePJhEXl+iwfWuqNWv2AhRXAjpLUdWa5qxdXlG12uDB7R0+88oROnVsQnCwP2fPZrFu3X5Xh1NmBQVWvv12KQBjbunttMRyZdehfSO8vDxISkpj/4H4El2zZu0+9h+Ix9vbwqiR3Ut1noe/hbr9Iwi7uiGWYC+MfBtpu1IA8G0UgKVW5fs3X9m5+3oQdnVDwq6JwifCz9XhiNR4pU6sPfzww2zatIlNmzYRExPDI488QlhYGA899BCbN292RowiIiIiIiIiUsns2HmUbdsO4+5u5sbRPRy6t6+vF926NgPsFTNSdhkZOWzfcQSA7le0cOpZ0S0jAM1Zu5wzZzJZumwXUPnaQBYxm90YONBeSTdvwVbXBlMO8+Zv5WR8KrVq+TL8uq6uDsdlPD096Ny5KWCvWrscwzCY9O0SAEYM70ZAgE+ZzvUK9SH82ihCeoVh9nbH5OFGkGarlZlXXR+86qhSTaQyKHVirUi7du147733OHHiBP/+97/54osv6NKlC+3ateOrr75SqwYRERERERGRauyHqSsAuPqqDtSpE+jw/YvaQWrOWvls2HgAq9VGgwYh1K9f26lnRRdVrO1WxdqlzJm7hfx8Ky2ah9OiRX1Xh3NRQwa1B2DFit1Vcm5eQYGVSUXVajf3wcvL4tqAXKxHYcVqSeasbd12mB07juLhYeamG3uW61yTyYR/syAiRzelweimWIJUrSYiVV+ZE2v5+flMnz6dYcOG8dhjj9G5c2e++OILRo8ezbPPPsuYMWMcGaeIiIiIiIiIVBLZ2XmsXm1vLzjyhtK1CCupXr2icXc3ExeXyOHDagdZVmsL56s5u1oNKE4SnYxP5ezZLKefVxWdOZPJ9OmrgMpbrVakRYtwGjasQ15eAcuWx7o6nFJbsGAbx48nExTkw/DhNbdarUjRnLVdu45d9uuzqH3m0Gs6ERIS4JDzTW4m3Cxmh+wlIuJqpU6sbd68mYcffpiwsDAefvhhWrVqxc6dO1m5ciV33HEHzz77LDNnzmTGjBnOiFdEREREREREXGz9+v3k5RUQHlaLpk1DnXKGv783XbrYW5epaq1sDMNgTVFirbtz56uB/TWLjAgGNGftQvLzC3jmue85lXiW8PDaDB7c3tUhXZLJZGLwoHYAzJu3tULOtNlszJ69kdvv+ICff15T5n2Sk9P54L9/AHDzTb0r5Ry7ilavXhBNmoRisxmsW3fxdpB79pxg3fr9mM1u3HJznwqMUESk6ih1Yq1Lly7s37+fjz/+mOPHj/PWW2/RsmXLc9bExMRw0003OSxIEREREREREbC39srNzXd1GDXeipW7AejdOwaTyeS0c4raQS5dustpZ1RnBw4kkJSUhpeXB+3bNaqQM6OjNWftQgzD4M23fmPr1sP4+nry5uu3VYlkz+DCdpAbNx3kdFKaU8/avv0Id9/zMa+89gv798fzzruzWbX68m0L/8owDF57fQZnzmTRrGlYuVsZVic9CqvWVq/Ze9E1305eCsDAgW2d3j5WRKSqKnVi7dChQ8ydO5dRo0bh4eFxwTW+vr58/fXX5Q5OREREREREpIjVauOBBz9j0JCXeO75Kaxdtw+r1ebqsGqcggJr8ZvdvXtFO/WsPr2jMZvd2H8gnmPHkpx6VnW0Zq39zfPOnZpgsbhXyJktC+esKbF2rqnTVjH79024uZl4acJNNGpUz9UhlUj9+rVp06YBhmGwcOF2p5yRmHiWf0+Yyv0PfsqevSfw9fWkY8fGGIbBiy9NL/XX/qzZG1m1eg8eHmZeeGEUHh4V82+/KihKrF3s/5+HDyeybJm97edtY/pWaGwiIlVJqRNrDRs2dEYcIiIiIiIiIpc0f8E2dsUeo6DAyuIlO/nnY98wctSbfPHlQuLjU10dXo2xY+dRzp7NIiDAm7ZtnfseQUCAD506NQFgiarWSm1NYVVK0WylihDd0l6xplaQf1q1eg8f/ncOAA8/9LcKfT0cYUhhy8p587c6dN/c3Hy+/mYxN93yDgsWbsdkMjHs2i5Mm/oYE98eR5s2DcjIyOFfT08mMyu3RHueOJHC++//DsB99wymSWPntKqtqlq1isTf35u0tGxiY4+d9/h3k5dhGAZ9esfQuHHVSP6KiLhCiRJrtWvXJimp5J8OadCgAUeOHClzUCIiIiIiIiL/q6DAyldfLwJg5A1XMHJkd/z9vTmVeJavvl7MyNFv8ej4r5i/YJtaRTrZihX2NpA9urfE3d3s9PP+bAepOWulkZaWzc5d9jfOr7jC+fPVijRrFoabm4nTp9NIcnLrwKrg4KEE/j1hGoZhMOzaLowe1cPVIZXalf3bYDa7sW/fSeLiTpV7P8MwWLxkBzePmcjnXywkJyefdm0b8tUXD/Kvp0ZQu5YfHh7u/Of/biEk2J+4w4n855WfMAzjkvtarTb+7+UfycrOo337KG5UC8jzuLub6da1GQCrVp/bDjI+PpX5C7YBMPY2VauJiFxKiRJrZ86cYc6cOcycObNEt+TkZKxWa6kCefXVVzGZTIwfP774PsMwmDBhAuHh4Xh7e9OvXz927Tr3E2q5ubk8/PDDhISE4Ovry7Bhwzh+XJ+KEhERERERqU7+mLOZEydSqFXLlwfuv4p/jr+Wmb/+ixcn3EiXzk0xDIMNGw8w4cVpDBv+Gv/9aA4FBaX7vVQuzzAMVqy0twnr3du5bSCL9OkdjZubiT17T3DyZEqFnFkdbNiwH6vVRqOouoSF1qqwc318PGnYsA5Q/dpBPv/vH7h+5BtM/n55iSqoUlMzePKp78jKyqVjh0Y89s9rnTqT0FmCgnzpXpicnTl7Y7n2Op2UxsOPfMFzz/9AQsIZ6tYN5MUJN/LRf++lRYv656wNCQngP/8Zg7u7maVLd/Hd5OWX3HvKDyvYvuMIPj6ePP/sKMzmUjfqqhGKKiaLWsUW+X7KcqxWG106NyUmJtIVoYmIVBklbjJ8++23Oy2IDRs28Nlnn9G2bdtz7n/jjTd45513+Oabb2jevDkvv/wygwYNYu/evfj7+wMwfvx4Zs2axdSpUwkODuaxxx5j6NChbNq0CbPZ+Z+cExEREREREefKyyvg62+WAHDbrX3x9rYA4OnpwaCB7Rg0sB3x8an8/scmfv99E6cSz/L9lBXUqRNYJatDKrO4uEROnEjBYnEvrnpwtlq1/OjQoRGbNh1i8ZKd3DqmT4WcW9WtWbcPqNhqtSLR0RHExSWyY+dRejl5Dl9FOXkyhUWLdgDw0cdz+W7yMkaP6sGokT0ICPA+b31eXgHPPPs98fGp1K9fm/+8PKZKz/oaMbwbK1ftYdbMDdw57kr8/c9/ziUxceIsNm+Jw2Jx59Yxfbh1TB+8vCwXXd+mdQP+OX4ob7z1G59+Np/mzcO4otv5/6b374/n8y8WAjD+0aGEhVVcMrmquaJbM0wmE/v3x3P69Fnq1AkkOTmd2b9vAmDsWFWriYhcTok+umGz2Up9a9y4cYkCyMjIYMyYMXz++efUqvXn//QMw+Ddd9/l2Wef5frrr6d169ZMmjSJrKwspkyZAsDZs2f58ssvefvttxk4cCAdOnRg8uTJ7Nixg4ULF5bhr0NEREREREQqm1mzNnDq1BlCQgIYMbzbBdeEhdXi7rsG8tOPT3DP3QMB+PW3dZdtHSals2KlvQ1kp05N8PHxrLBzB/RvA8DCRdsr7MyqzGazsXatPbHminleRUnX3//YRF5eQYWf7wxF8+oiIoJpEBlCeno2X361iOtHvsHHn8wjJTWjeK1hGLz51m9s234EX19P3nx9LIGBPq4K3SGuuKI5jRvXIys7jxm/ri/THkeOnmbZcnvF66ef3M/ddw28ZFKtyHXXdeXaaztjGAb/njCNEyfOrVzNyyvgpZd/pKDASu/e0Vzzt45liq+mqFXLj5gY+yzENYXfJ6ZOW0VeXgGtWkXSsUPJ3tMVEanJXF4T/fe//51rrrmGgQMHnnN/XFwcCQkJDB48uPg+T09P+vbty+rVqwHYtGkT+fn556wJDw+ndevWxWsuJDc3l7S0tHNuIiIiIiIiUvnk5uYz6dulANw+th+enh6XXG82uzF6VA+8vS0cPnyaLVviKiDKmmPFCvub4n16x1Touf3/Z8bT4cOJFXp2VbR/fzwpKRn4eFto17ZhhZ/fv19r6tQJICUlgwULt1X4+c6wujCxNuzaLnw/eTwvvXgTTZqEkpWVy3eTl3HDyDd5973ZnD59lh9+WMnvf2zCzc3E/710M1FRdV0cffmZTCbG3GKvFv3xp9VlmmU55YcVGIZBr54tadE8vFRnP/aPYbSKiSQ9PZunn5lMdnZe8eOff7GAgwcTqFXLl6eeHFEl221WtB6FCffVq/eSlpbNjBlrAbj9tn76+xMRKQGXJtamTp3K5s2befXVV897LCEhAYB69eqdc3+9evWKH0tISMBisZxT6fbXNRfy6quvEhgYWHyLjFTfYBERERERkcrolxnrSEpOJzQ0iGuHdi7RNb6+XgwZ3B6AGb+uc2J0NcvppDRidx/HZDLRq2fLCj07MNCnuP1bdUnUOFNREqhz56YuaT/o7m5m1Eh7G9ap01ZV+crRnJw8Nm0+BNgTEmazGwMHtGXS1w/x+mu3ER0dQW5uPtN/XM3I0W/x34/nAvDoI9dcsG1hVTVoYFvq1bW3DZw3f2uprj2dlMbcuVsAuHVM6VsNWizuvPKfW6hd248DBxN49bVfMAyDLVvjmPLDSgD+9dT11K7lV+q9a6KixNqGjQf4YeoKsrLzaNoklJ4V/L1dRKSqclli7dixYzz66KNMnjwZLy+vi67766ckDMO47CcnLrfm6aef5uzZs8W3Y8eOlS54ERERERERcbqiShCAO8ZdicVS8gRBUcvIpct2kZSkLiWOsKqwDWRMTATBwf4Vfv6ggfa57PMXbKvyiRpnW7vOdW0giwy7tgve3hYOHkxg48aDLovDETZtPkReXgGhoUE0avRn9Zmbmxu9e0XzxWcPMPGdO2jfPor8fCuGYTBieFdG3tDdhVE7nru7mdGjewL26jObzVbia6dPX0V+vpV2bRvStoxVlHXqBPLy/92M2ezGwkXb+errxbz8n58wDIOh13SidzWZ51cRmjULIzjYn+zsvOL/z952W19Vq4mIlJDLEmubNm0iMTGRTp064e7ujru7O8uWLeP999/H3d29uFLtr5VniYmJxY+FhoaSl5dHamrqRddciKenJwEBAefcREREREREpHL56ee1nDmTSUREMFdf1aFU1zZrFkbr1g2wWm3Mmr3RSRHWLEXz1Xr3qtg2kEV69YrGy8uDEydS2L37uEtiqArOns1i1y77B4i7X+G6aqmAAO/iWVdTp69yWRyOsHq1vQKw+xUtLph4MJlMdOvajI8+vJeP/3svz/zrev4x/tpqmaQYNqwLfn5eHD2axMpVe0p0TXp6dvFctrJUq/2v9u0a8egj1wDw5VeLiI9PJSysVvF9UjJubm7F3x9sNoOIiGCuLJxlKSIil+eyxNqAAQPYsWMHW7duLb517tyZMWPGsHXrVho3bkxoaCgLFiwoviYvL49ly5bRo4e9nUCnTp3w8PA4Z018fDw7d+4sXiMiIiIiIiJVT0ZGDt9PWQ7AnXdcibu7udR7FFWtzZy5Aau15JUVcr7MrFw2brJXHfXp7ZqqEB8fz+KKlPkL1A7yYtat34/NZtCkSSh16wa6NJbRo3piMplYs2ZvlZ2NZxhGcWvNHj0uXwHYrl0UQ4d2LtP3rKrA18eT60fYv7cWfY++nBm/ricrK5dGjerSvXv5k703XH8Ff7vanrQ1mUw8/9xIfH0v3g1LLux//z3fOqYPZrNLJwaJiFQppf6OaTabSUw8/4eh5ORkzOaS/9Dg7+9P69atz7n5+voSHBxM69atMZlMjB8/nldeeYUZM2awc+dOxo0bh4+PD7fccgsAgYGB3HXXXTz22GMsWrSILVu2cOutt9KmTRsGDhxY2qcmIiIiIiIilcS06atIT88mKqoOgwa2K9MeV/ZvTWCgD6cSzxa/MS5ls27tPvLzrURGBNOwYR2XxTF4UHsAFi3eoWTpRaxda28DWRlme0VEBBcnQ6dV0aq1Q3GnOHXqDBaLO506NnZ1OJXCyBu64+FhZseOo2zffuSSa+2z5+yv/a239MHNrfzJG5PJxBOPX8etY/rw7xdG075do3LvWRN16dKMOnUCaBRVl6uGlK4qXESkpiv1/80u1sc8NzcXi8VS7oD+15NPPsn48eN58MEH6dy5MydOnGD+/Pn4+//Zy33ixIkMHz6c0aNH07NnT3x8fJg1a1apknwiIiIiIiJSeaSlZTF12koA7r5zYJk/Re/p6cHQazoB8Msvax0WX020vKgNZO8Yl7a369q1KQEB3iQnp7NlyyGXxVFZ2Wy24vlqPRxQGeQIN91kn8k1Z+4WUlMzXBxN6RW1gezUqQleXo5936uqCgkJ4KrC9rzf/3DpqrU5c7eQkpJBvbqBDBpUtg9JXIinpwcPPnAVgx24Z03j6+PJ9KmP8dWXfy/VDFMREYESf9d8//33AfunQr744gv8/PyKH7NarSxfvpyWLVuWK5ilS5ee82eTycSECROYMGHCRa/x8vLigw8+4IMPPijX2SIiIiIiIlI5TPlhBZmZuTRrGka/fq3Ktdd113Xl+ykrWLd+P8dPJBNRP9hBUdYcBQVW1qy2z1Iqqj5yFQ8Pd67s34Zff1vP/AXb6Ny5qUvjqWz27D3JmTOZ+Pp60qZNQ1eHA0C7tlG0bFmfPXtO8Otv67lj3JWuDqlU1qwtbAPpwnl1ldEtN/dm9uxNrFixm8NHEolqWPe8NVarjSk/rADgppt6Vdv2mFWZp6eHq0MQEamSSvyxv4kTJzJx4kQMw+CTTz4p/vPEiRP55JNPyMrK4pNPPnFmrCIiIiIiIlLNpaRmMP3H1QDcfffAcrcNi6gfXNwS77ff1pc7vppo67bDpGfkEBTkS+vWDVwdTnHVy9Jlu8jNzXdxNJXLmsKWp126NK00SQyTycRNN/YC4Kef11Sp1ywtLZsdO44C0KNH+T5MXt00bFCHXr3sfyc//LDygmuWLdvF8ePJBAR4M+zaLhUZnoiIiFOV+DeUuLg44uLi6Nu3L9u2bSv+c1xcHHv37mXevHl069bNmbGKiIiIiIhINTd58nJycvKJjo6gV0/HvJE9YoT9d9XZv2+qUm/qVxYrVsQC0LNHyzK35XSkdm0bUrduIBkZOcXzxMSu6O+jxxUtXBzJua7s35q6dQNJTc1kwcLtrg6nxNZv2I/VaqNRVF3Cwmq5OpxK59Zb+gAwd94WkpLSznnMMAwmf29vEznyhu54e6uNpoiIVB+l/ol4yZIl1KpVi7y8PPbu3UtBQYEz4hIREREREZEa5nRSGr/MsM9Cu+fugQ6b5dWjewvq1Q3k7NksFi/Z6ZA9awrDMFhRPF/NtW0gi7i5uTFoYFsA5i/Y5uJoKo/U1Axidx8HoFsla1vo7m5m1MjuAEydthLDMFwcUckUzVfr0aNyJSorizZtGtK2TUPy8638+NOacx7btOkge/aewNPTg5E3dHdRhCIiIs5R6sRadnY2d911Fz4+PrRq1YqjR+0l8Y888givvfaawwMUERERERGRmuG775aSl1dAu7YN6da1mcP2NZvdGDbM3oZsxq/rHLZvTXDgQAIJCWfw9PSga5fKM8+sqB3kqtV7yMzMcXE0lcO69fsxDINmzcKoExLg6nDOM+zaLnh7Wzh06BQbNh5wdTiXZbPZWLvOnljrXskqACuTW27pDdi/t2Zm5Rbf/91ke7Xatdd2JijI1yWxiYiIOEupE2v/+te/2LZtG0uXLsXLy6v4/oEDBzJt2jSHBiciIiIiIiI1Q3Z2Hn/8sRmAu+4c4LBqtSLDru2C2ezGzp1H2bf/pEP3rs5WrLS3gezSpSleXpWnlVuzpmFERdUhL6+AZctjXR1OpVDUBrKyJoH8/b0Zek0nAKZOXeXiaC5v9+4TnDmThZ+fF23bNnR1OJVWr54tadAghIyMHGbO3ADAnj0n2LDxAGazGzcXztcTERGpTkqdWPv111/58MMP6dWr1zm/6MTExHDw4EGHBiciIiIiIiI1w7Llu8jKzqN+/dp06tTE4fsHB/vTr28rAGbMUNVaSa1YYW8D2ad3jIsjOZfJZGLQQHvVmtpBgtVqY+26osRa5WoD+b9Gj+qJyWRi7bp9HDp0ytXhXNLqNXsA6NqlKe7uZhdHU3m5ubkxpnDW2rTpq8jPL+D7KfZqtQED2mo2nYiIVEulTqydPn2aunXrnnd/Zmamwz9RKCIiIiIiIjXDnDlbALj6qg5O+91yxPBugD0Ro/aBl3fq1Bn27juJm5uJnpVwxlRRO8iNGw+QkpLu4mhca/fu46SlZePv50WrVpGuDuei6tevTd8+9iTttB8rd9Xan/PVWro4kspvyOD2BAf7k5h4lknfLmXJUvssy9vG9HFxZCIiIs5R6sRaly5d+P3334v/XPQLz+eff0737hpGKiIiIiIiVcvadfuIj091dRg1WmLiWTZusndAuWpIB6ed06FDI6Ki6pCdncfcuVucdk51sXKlvVqtTesG1Krl5+JozhdRP5hWMZHYbAaLFu9wdTgutWatPQnUtWuzSl9ddVNha8B587aSkprh4mguLCkpjb377C1jr6jEFYCVhcXizqiRPQD46uvF2GwG3bu3oEmTUBdHJiIi4hylTqy9+uqrPPvsszzwwAMUFBTw3nvvMWjQIL755hv+85//OCNGERERERERp1i7bh//fOwbbrv9/eIkglS8ufO2YhgG7dtHER5e22nnmEym4qq1X35dh2EYTjurOlhe+DXRu1flagP5v4qq1qpqO8gdO46weMkObDZbmfdITk5n4cLtAHTvXvkqC/+qTZsGxERHkJdXUGnbshbNq4uOjqB2JUwqV0YjhnfFx/vPOYy3qlpNRESqsVIn1nr06MGqVavIysqiSZMmzJ8/n3r16rFmzRo6derkjBhFRERERESc4uef1wKQlZXLU09P5tvvlinZUsEMw2DuvM0A/O2qjk4/7+qrOuLl5UFcXCJbtx12+nlVVUZGDlu2xAHQu3e0i6O5uAFXtsHNzcSuXcc4cSLF1eGUSkpqBg8/+iXPPf8DDz3yRZni37jxALff8QHHjifj7+9NjyqQWDOZTNx0k71q7edf1pKbm+/0M8+cyeSzzxewa9exEq1fvaawDWQV+PusLPz9vbnuuq4AtGoVSft2Ua4NSERExIlKnVgDaNOmDZMmTWLnzp3ExsYyefJk2rRp4+jYREREREREnCY+IbX4zdMBA9pgGAaffDqPCS9Oq5A3esVu954THD58Gk9PD/r3b+308/z8vIqrnCprtUxlsGbtXgoKrERF1SEyMsTV4VxUcLA/nTo2AWDBwqpVtTZr1kby8goA2Lr1MGPHvc+MElZSWq02vvhyIY/+42tSUjJo0iSUTz+5j6AgX2eH7RD9+raiXr0gzpzJdHq1YVZWLv98/Bu+mbSEBx/67LLn5ecXsH7DAQB6VMLZgpXZ3XcN5L57BzPhhRudNitTRESkMih1Yi0tLe2Ct/T0dPLy8pwRo4iIiIiIiMPNnLkBwzDo1Kkx//fizTzx+HWYzW4sWLidB/7+GadPn3V1iDXCnDn2arW+fWLw9fWqkDOvL2wHuXTZLlJS0ivkzIpgGAbvvjebfz72DXPmbiEnp2y/o1utNhYXziyrzG0gi/zZDnJrlak4LSiwMuNXe2L3nrsH0r59FNnZebz51m+M/+fXnDp15qLXJiWl8eg/vuKrrxdjGAbDru3CF589QFTDuhUUffm5u5sZecMVAPz08xqnvW75+QU889wU9uw5gdnsRn6+lQkvTuPb75Ze9Mxt2w6TlZVL7dp+tGge7pS4qitvbwu3j+1H/frOa+krIiJSGZQ6sRYUFEStWrXOuwUFBeHt7U3Dhg3597//Xa7+4CIiIiIiIs5UUGBl1uyNAMUzt0YM78Z7E+8kMNCHPXtOcOfdH5W4bZiUTX5+QXGV0dVXO78NZJEWLerTKiay8N/Bpgo719kOHTrF9B9Xs3bdPv7v5R+59rpXefOtX9m95/hlExeGYbBz51EmvjuL60a8xrLlsQD07lV520AW6de3FRaLO4cPn+bAgQRXh1Miy1fEkph4llq1fBlzSx8+fP9uHn3kGiwWdzZsOMCtY9/j9z82nfe6bdhgb/24efMhfLwtTHhhNP96agSenh4ueiZld+3Qzlgs7uzfH8+OHUcdvr/NZuOV135h/fr9eHl58MlH93FzYQvKTz6dz+tv/EpBgfW861avsc9Xu+KK5ri5lanRk4iIiFRzpf4J4ZtvviE8PJxnnnmGX3/9lRkzZvDMM89Qv359Pv74Y+69917ef/99XnvtNWfEKyIiIiIiUm7Ll8eSkpJBcLA/fXr/WZHTsWNjvvz8QRo3rkdycjp/f/hz5szd4sJIq7fVq/eSlpZNSEgAnTs1qdCzR4ywJ1R//W09Vmv1+GDowkXbAWjQIISwsFpkZuYy49f13HX3R9w+7gOm/7iatLSsc645dOgUn3w6n1Gj3+Le+z/hx5/WkJKSQUCAN2Nu6UOrVpGueCql4ufnVTwLy9ltBR3lp5/XAHDdsK5YLO64ublx4+ieTPrmYVq1iiQzM5f/vPIzTz71HUlJaVitNj7/YgHj//k1qamZNG0Sypdf/p3Bg9u79omUQ0CAD0MK4y/6+3Ckjz+Zx7x5WzGb3Xjl5TG0ahXJww/9jcf+cS1ubiZmztrAE09+S2ZW7jnXrV6zB9B8NREREbk4k1HKevsBAwZw3333MXr06HPunz59Op9++imLFi3iu+++4z//+Q979uxxaLDOkpaWRmBgIGfPniUgIMDV4YiIiIiIiJM99MgXbN58iHG39+feewad93hmVi4v/d90VqzYDcCYW3pz/31DMJtVveBI/3p6MstXxDLmlj78/cGrKvTs3Nx8hg1/jfT0bN58fSw9e7as0PMdzTAMbrz5HY4fT2bCC6MZOLAtmzcfYtbsjSxbHls8y8vDw0yfPjE0blSPxUt2cvDgnxVe3t4WeveOYdDAtnTt0hQPD3dXPZ1SW7J0J88+N4V6dQP5+acnKnWl0YED8Ywd9wFmsxu//PQEdeoEnvO41Wpjyg8r+OLLheTnWwkI8CYyMqS4gnb4dV159JFrqmSV2l/t3XeSO+78ELPZjRk/P0lIiGPek5k6bSXvf/AHAM8/O/K8itiVK3fzwoSp5OTk06xpGG+9OZY6dQI5fiKZ0Te+jdnsxpzfn8PPr2La04qIiHPp/X9xtFL/pLlmzRo6dOhw3v0dOnRgzRr7J4x69erF0aOOL+MXEREREREpr8NHEtm8+RBubiaGXdvlgmt8fTx59T9juH1sPwC+n7KC51/4ocrMb6oKzpzJZPWavQBcfdX5v2M6m6enB0Ov6QTAL4WzrqqyfftOcvx4MhaLOz17RePm5kbnzk15ccJNzPz1X/zzH9fSrFkY+flWFi3awedfLOTgwQTc3c306hXNSy/exOyZzzDhhdH07NGySiXVwF5d5OvryanEs2zbfsTV4VzSTz+vBexzBf+aVAMwm9247da+fPXl32nRPJy0tGx27Tpmb/347xt58onh1SKpBtCieTht2zTEarXx28wNDtlz/oJtxUm1B+4fcsE2s716RfPfD++hdm0/9h+I5+57P+bAgXhWr7Z/T2rXLkpJNREREbmoUifWIiIi+PLLL8+7/8svvyQy0t4iIjk5mVq1apU/OhEREREREQf77Tf7m7c9urcgNDToouvc3Ny4797BvPTiTVgs7ixdtosFVaTNXFWwYOE2CgqstGxRn8aN67kkhuHXdQVg7dp9nDyZ4pIYHGXhoh0A9OjRAl8fz3MeCwjwYeQN3Zn09cN8/eXfueH6K+jTO4Z/PTWC2TOf4Y3XbmPggLZ4e1tcEbpDeHp6cGX/NgD8MHWli6O5uLS0LObN3wrAyJHdL7m2SeNQPv/sAe6/bzD9+rbiqy8fYvCgdhUQZcW64YYrAHtb1vz8gnLttWHDAV7+z08AjBrZnVvH9Lno2uiWEXz+6QNERdXh9Ok07n/wM36ZYU969rhCbSBFRETk4kr9EbS33nqLUaNGMWfOHLp06YLJZGLDhg3s2bOHn36y//CyYcMGbrzxRocHKyIiIiIiUh45OXn88ccmAEYM71aiawYOaMvx48l89vkCPvxoLj17RZ+XuJDSK5pdd/XVFV+tViQyMoQuXZqyYcMBfv1tPQ8+ULHtKB3FMAwWL7En1gZe2faSa1u0qE+LFvUrIqwKd8stvZn9+yZWrtzN3n0nadE83NUhnWf27E3k5trbD7ZrG3XZ9e7uZsbe1s/pcblSv76tCA72Jzk5nWXLYxk44NL/hi9m794TPP3MZAoKrAy4sg2PPnINJpPpkteEhdXik4/u55lnJ7N5SxxHj9rnrfXoocSaiIiIXFypK9aGDRvGvn37+Nvf/kZKSgpJSUlcffXV7Nmzh6FDhwLwwAMP8M477zg8WBERERERkfJYtHgH6Rk5hIXVolu3ZiW+7uabelG/fm2SktL45pslToywZoiLO8WePScwm93K/Ca6o1w/wl4tM/v3jcVzyKqa2NjjxMen4u1tqdEJgYYN6jBwgL1qbdIkx3+dFhRYOXAgnj/mbGbiu7N47PFvWFPYzrQkrFYbPxdWRI0c2f2ySZ+awsPDneuG2dvy/vzzmjLtcfxEMv98/BuysvPo2LExzz83qsRz9gICvHnn7TsYMqQ9AA0iQ2jYsE6Z4hAREZGaoVQVa/n5+QwePJhPP/2UV1991VkxiYiIiIiIOMWMGfZZWtcN61riN13B3mZu/CNDeeKpb5k2fRVDh3aiYQO98VpWRdVqPXq0oFYtP5fG0rNHC+rWDSQx8SxLl+5k8OD2Lo2nLBYu3g5Azx4t8fKquu0cHeH2sf1ZuGgHS5ft4uDBBJo0CS3TPrm5+Rw4kMC+/SfZu/ck+/af5NChU+clXzduOsibb4yla5fLJ+rXrNlLfHwq/v7eDBro2oRyZXPddV2Z9O1Stm0/wr79J2nerOTVhimpGfzzsW9ITc2kWdMwXnvlViyW0jVosljceeG5UfTr25qoqDpKeoqIiMgllapizcPDg507d+oHDBERERERqXL27j1B7O7juLubGTq0U6mv79mzJd27t6CgwMq7787GMAwnRFn9Wa025s7bCsDVV7muDWQRd3czw67tDMAvhYnXqsRms7F4sb0N5AAXV/9VBo0b16N/v1YAfFPGqrXf/9jE4Kte4p77PubNt35j5qwN7Nlzgry8Anx9PWnfPoobR/ek+xXNyc+38q+nJ7Nj59HL7vtjYTXWsGs71/gE6F/VCQmgX+Hr9vMva0t8ndVq44V/T+X48WTCwmrx9lu34+fnVaYYTCYTffvE6EMTIiIiclmlbgU5duxYvvzyS2fEIiIiIiIi4jQzfl0PQP9+rahdxiqp8Y9cg4eHmXXr97Ni5W5HhldjbNp8kKSkNAICvOnRvaWrwwHg2mu7YDa7sX3HEQ4eTHB1OKWyY8dRTp9Ow9fXkytK0d60Oht3e38AFi/ZSVzcqVJde/xEMm+9PZP8fCtBQb5069qMsbf15eWXbmb61MeYN+d5PvrwXh595BpefeVWunZtRk5OPo8//g3798dfdN/DRxLZsOEAbm6m4vajcq6R13cHYP78baSlZZXomknfLmHz5kN4e1t4+83bCQkJcGaIIiIiIkAZEmt5eXl8/PHHdOrUifvuu49//vOf59xEREREREQqm4yMHOYv2ArA8OHdyrxPZGQIN9/UC4D33/+d3Nx8R4RXo/wxx94GcuCAtqVu1+YsdUIC6NM7Bqh6VWuLCttA9ukdg6enh4ujqRyaNg2jb58YDMMoVdWaYRi89voMcnPz6dypCb/PeoaJ79zB/fcN4cor2xAREXxOC1mLxZ1X/zOGtm0akp6Rw/h/fsXRo0kX3Pvnn+1VWD17tiQsrFb5nmA11bZtQ5o1DSM3N5/Zv2+67PrNmw/x1deLAXji8euIiqrr7BBFREREgDIk1nbu3EnHjh0JCAhg3759bNmypfi2detWJ4QoIiIiIiJSPvPmbSEnJ59GUXVp3y6qXHvdPrY/desGcjI+le+nLHdMgDVEZmYOy5btAuBvV3d0cTTnGjHCnnCdN28LmVm5Lo6mZKxWG0uW2v8+1QbyXHfccSUACxft4PCRxBJdM2v2RjZvPoSnpwdPPTmiRGMwvL0tvPnGWJo1CyM1NZNHx39JQsKZc9ZkZuYwZ85m4M+qLDmfyWRi5Ej7388vv6zFarVddG1qagYTXpyGzWZwzd86cdUQ17eVFRERkZqj1Im1JUuWXPS2ePFiZ8QoIiIiIiJSZoZh8Muv9iqk4cO7lntmtLe3hYf+fjUA3363jPiE1HLHWFMsWbqL3Nx8GjasQ3R0hKvDOUenjo1p0CCErOw85s3b4upwSmTrtjiSk9Px9/emS+cmrg6nUmneLJxevaIxDINvv1122fWnk9L48L9zALj3nkHUr1+7xGf5+3sz8Z07aNAghFOJZ3l0/JekpKQXP/7HnM1kZecRFVWHznqdLmnQwLb4+3tzMj6VtWv3XXCNzWbj/17+iaTkdKKi6vDPf1xbwVGKiIhITVfqxJqIiIiIiEhVsm37YeLiEvHy8uDqqxxTJTXgyjZ07NCIvLwCPvjwD4fsWRMUVe1cfVWHcic4Hc1kMjGisE3ojF/XYxiGiyO6vEWLdgDQr28rPDwqR1vNyuSOcfZZa/MXbOX48eSLrjMMg7ffnklGRg7R0RGMHtWj1GfVruXH++/eRWhoEMeOJzP+H1+TlpaNzWYrbgN5w/XdK92/+8rGy8vCtUM7A/DTz2suuGbKDytZu24fFos7//fSzXh7WyoyRBEREZGyJdY2bNjAk08+yU033cT1119/zk1ERERERKQy+fXX9QAMGtQOPz8vh+xpMpn4x/hrMZvdWLp0Fxs2HHDIvtVZfHwqW7bGYTKZGDK4vavDuaCrr+qIp6cHBw8msGPHUVeHc0kFBVaWLtsJwIABbVwcTeUU3TKC7t1bYLMZTPp26UXXLVm6k+UrYjGb3XjmX9djNpftM8h16wby/rt3Ubu2HwcOJvDYE9+wfEUsR48l4ePjyVVXqV1hSYwY3g2TycS69fvPm1m3Y+dRPv1sPgD/GH8tTRqHuiJEERERqeFK/dPi1KlT6dmzJ7GxscyYMYP8/HxiY2NZvHgxgYGBzohRRERERESkTFJTM1iy1J58GHFdN4fu3aRJKNcXzuWa+N4sCgqsDt2/uplb2F6xU8fG1KsX5NpgLiIgwJtBA+2zyn6ZsdbF0Vzaps2HOHMmi6AgXzp2aOzqcCqtO263V63NnbeFkydTzns8LS2LdybOAmDsbX1p0qR8iZqIiGDem3gn/v7e7Np1jOdfmArANX/riK+PZ7n2rinq169Nj+4tgHO/DtPSsnnh31OxWm0MHNCWYdd2dlWIIiIiUsOVOrH2yiuvMHHiRGbPno3FYuG9995j9+7djB49mgYNGjgjRhERERERkTL5/Y/N5OdbiY6OoGXL+g7f/+67BhIU5Mvhw6f58acLty2r6pYs3cmkb5eyes1ekpLSSnydYRgcPZrEr7+tZ8KL0/h+ygoArr7aMe04nWVEYbJ0ydKdpKZmuDiai1u0aDsA/fu1wt3d7OJoKq/WrRvQtWszrFYb3353/qy19z/8g5SUDKKi6nD72P4OObNJk1DeeWsc3t4WrFYbYG8DKSV3ww1XAPD7H5vIysrFMAxeefVnTp06Q/36tXnqyeFqqykiIiIuU+om7AcPHuSaa64BwNPTk8zMTHsblH/8gyuvvJIXX3zR4UGKiIiIiIiUls1m49ff7G0gi2ZnOZq/vzcP3j+EV177hS+/WsSggW0JCQlwylmucPBgAs8+N+Wc+4KD/WneLIzmzcNp3jycFs3DCQurBcCxY8ls3nKILVsOsWVLHEnJ6edcW69eEH37xFRY/GUR3TKC6OgIdu8+zuzfN3HbrX2dfqbVamP1mr2sWBHL4EHt6Ny56SXX5+cXsGzZLgAGXNnW6fFVdXeOu5L16/fz+x+buP32foSF2v+9rt+wnz/+2IzJZOLpp67HYnHcnLpWrSJ54/Xb+NfTk+nZM5oGDUIctndN0LVLUyIjgjl2PJl587dSUGBl+YpYPDzMvPzSzfj6Oqatr4iIiEhZlPqnxtq1a5Oebv/lqH79+uzcuZM2bdpw5swZsrKyHB6giIiIiIhIWaxctYeTJ1Pw9/NioBNnUP3tbx359bf1xO4+zsefzOP550Y57ayKVjSXKjIiGLO7G0ePJpGcnM6a5HTWrN1XvM7fzwuLpwfJf0mkeXiYad2qAR06NKJjh8a0ahWJp6dHRT6FMhkxvBu7dx/n19/Wc8vNvcs8c+tyMjNzmP37Jn78aU1xm8LZv2/i+hHdePCBq/C5SOvA9RsOkJ6RQ3CwP+3aRTkltuqkbduGdOrUmE2bDjF58jKeeHw4WVm5vP7Gr4C9OqpNm4YOP7dTxybM+f05VRSWgZubG9dffwXvvf873367lJTC6tGH/n41LVo4vvpYREREpDRKnFi78847ee+99+jduzcLFiygTZs2jB49mkcffZTFixezYMECBgwY4MxYRURERERESmxKYevBESO64eVlcdo5bm5u/POfw7jn3o+ZM3cLN9zQnZjoCKedV1GOHk1i8ZIdAPzf/91M82bhZGfnceBgAvv2nSy+HTx0ivSMHMjIqbKJtL8aOKANH3zwO/Hxqaxbv7943pOjHD+RzE8/rWH27/Y2d2BPTrZtG8Wq1Xv4ZcY61q7bz3PP3kD7do3Ou37RIvvr0r9/a6cl/aqbO+8YwKZNh5g1exNjb+vH1GmriI9PpV69IO6/d7DTzlVSrez+dnVHPvt8AacSzwLQp3cMI29QS00RERFxvRIn1iZNmsRrr73Ghx9+SE5ODgBPP/00Hh4erFy5kuuvv57nn3/eaYGKiIiIiIiU1PbtR9i+4wgeHuYKeSM2JjqCq4a0Z87cLXz62Xzem3in0890tu8mL8NmM+jZoyXNm4UD4O1toU3rBrRp/ed87fz8Ag7FJZKbk0+LFuFVMpH2V15eFv72t05Mm76KGTPWOSSxZhgGmzYfYvr0VaxavRfDMABo2LAOo0f14KohHfD2trBhwwFeee0XTp5M4e8PfcHo0T24/97BxX+vubn5LF8RC8BAtYEssQ7tG9GhfSO2bI3j5Vd+YvPmOACeemL4RSsDxbX8/b25akh7Zvy6ntDQIJ55+gbNVRMREZFKocQfbSv6ob927dqEh9t/qXJzc+PJJ59k5syZvPPOO9SqVatUh3/88ce0bduWgIAAAgIC6N69O3PmzDnnzAkTJhAeHo63tzf9+vVj165d5+yRm5vLww8/TEhICL6+vgwbNozjx4+XKg4REREREalevv9hOQBXXdWhwmae3X3XQNzdzWzYcIBNmw9WyJnOEh+fytx5WwC4fWy/S6718HCnRfNw2rZtWC2SakWGD+8KwOo1e4mPTy3XXrv3HGfsuA945NEvWblqD4Zh0P2K5rzz9ji+/+5RRgzvhre3vaqyS5emTP72Ea4d2hnDMJg2bRW33/EBu3YdA2Dtuv1kZeVSt24grVtHlu9J1jB33HElAJs2HcIwDK4a0oErrmju4qjkUu65exA339SLd94aR0CAt6vDEREREQFKkVgDHP7JoIiICF577TU2btzIxo0bufLKK7nuuuuKk2dvvPEG77zzDh9++CEbNmwgNDSUQYMGFc94Axg/fjwzZsxg6tSprFy5koyMDIYOHYrVanVorCIiIiIiUjUcPpLIypV7MJlM3HJz7wo7NyysFsOv6wLAJ5/ML/5wYlU0+fvlWK02unRuSuv/qU6rSRo2qEOXzk0xDIMvvlxY5n3y8gp44d9TOXgwAS8vD64f0Y0p34/n7bfGcUW35ri5nf9rua+vF0//63refGMsIcH+HD2axH0PfMLHn8xjXmHC88r+bS54rVxcp46NaVs4Sy0oyJdHH7nGxRHJ5QQF+fLwQ38jKqquq0MRERERKWYySvjbnpubG4GBgZdNrqWkpJQroNq1a/Pmm29y5513Eh4ezvjx43nqqacAe3VavXr1eP3117nvvvs4e/YsderU4bvvvuPGG28E4OTJk0RGRvLHH38wZMiQEp2ZlpZGYGAgZ8+eJSCgYj7NKiIiIiLVU2LiWZ574QdCQvwZPaoH7dpGqXVVBXv19V+YNWsjvXtH8/qrt1Xo2Skp6Ywc/RY5Ofm89uqt9OkdU6HnO8LppDRGjnqT/Hwr//3gbjp0aOzqkFwmNvYYd9/7MQCffnwfbQqTMqXx/ZTl/PejuYQE+/PtpEcICvIt1fVpaVm88+5s5s/fes79X3z2ADExqlgrrb37TjJx4izuuONKunVt5upwREREpALo/X9xtBLPWAN48cUXCQwMdEogVquVH3/8kczMTLp3705cXBwJCQkMHvznEGFPT0/69u3L6tWrue+++9i0aRP5+fnnrAkPD6d169asXr36oom13NxccnNzi/+clpbmlOckIiIiIjXPp5/NZ+fOowAsXbqL5s3DGT2qBwMHtMViKdWP31IGSUlpzJ1rr+i59ZY+FX5+7dr+jB7Vk2+/W8qnn82nZ4+WmM1Vq6poyg8ryM+30q5tQ9q3b+TqcFwqJiaSa4d2Ztbsjbw9cRZffv5gqV7PlJR0vv5mCQD33z+k1Ek1gIAAHya8MJr+fVvx+pu/cuZMJuFhtYiOjij1XgItmofzycf3uToMEREREanCSvWb/U033UTduo4tv9+xYwfdu3cnJycHPz8/ZsyYQUxMDKtXrwagXr1656yvV68eR44cASAhIQGLxXLebLd69eqRkJBw0TNfffVVXnzxRYc+DxERERGRQ4dOMXfeVgAGDGjDihW72bfvJC//5yf++9EcRgzvxojh3QgO9ndtoNXYjz+tIT/fSts2DctUXeQIt9zcmxkz1hIXl8j8Bdu4+qoOLomjLFJTM/j11/UA3H57f1VbAvfdN5glS3eyb99JZs7awIjh3Up87WefLyQrK5eWLetz1ZD25Yqjb99WtG3bkN9mbqBr12Z6bUREREREXKTEH7Vz1g/tLVq0YOvWraxdu5YHHniA22+/ndjY2IueaxjGZWO53Jqnn36as2fPFt+OHTtWvichIiIiIgJ89vkCDMOgb58Y/u/Fm/ltxr+4/74h1K0bSGpqJl99vZjrR77B/738I3v3nnB1uNVOZlYuM35dB8Att1TcbLW/CgjwZsyYvgB8+eVC8vMLXBZLaU2bvorc3HxatqyvNnmFatfy4+67BgL2itSzZ7NKdN2+/SeZNXsjAOMfGeqQeWi1avkx7vb+xKhaTURERETEZUr8k72zBm9bLBaaNm1K586defXVV2nXrh3vvfceoaGhAOdVniUmJhZXsYWGhpKXl0dqaupF11yIp6cnAQEB59xERERERMpj165jLF8Ri5ubiXvvGQRAYKAPY2/ry0/TH+elF2+idesG5OdbmTN3C3fc9V/+PWGq037OrolmztxARkYODRqE0KtnS5fGMnpUd4KD/TkZn8rMmRtcGktJpaVl89PPawEYp2q1c1w/ohuNG9cjLS2bzz5fcNn1hmHw3nu/YxgGAwa0oW1b11RPioiIiIiI45U4sWaz2RzeBvJCDMMgNzeXRo0aERoayoIFf/7SkpeXx7Jly+jRowcAnTp1wsPD45w18fHx7Ny5s3iNiIiIiEhF+PSz+QBcNaQDjRqd+yEvd3czAwe05bNP7ueLzx5g8KB2mM1uLFi4vXgemJRPQYGVadNXATDmlj4OqQ4qDy8vC+Nu7w/A15OWkJ2d59J4SuKnn1eTlZVL48b1XJ6YrGzc3c089o9rAfj1t/Xs3XfykuuXLd/Flq1xWCzuPPjAVRURooiIiIiIVBCX/rb5zDPPsGLFCg4fPsyOHTt49tlnWbp0KWPGjMFkMjF+/HheeeUVZsyYwc6dOxk3bhw+Pj7ccsstAAQGBnLXXXfx2GOPsWjRIrZs2cKtt95KmzZtGDhwoCufmoiIiIjUIBs3HmDjpoO4u5u5684Bl1wbExPJhH/fWFzV9sF/55CWll0RYVZrCxZuJzHxLMHB/gwZ3N7V4QAw7NrOhIfVIiUlgx9/Wu3qcC4pMyuXadPtMd4+tp/LE5OVUYcOjRk4oC2GYTBx4qyLVpvm5RXw4YdzAPu8vbDQWhdcJyIiIiIiVZNLf1s6deoUt912Gy1atGDAgAGsW7eOuXPnMmiQ/U2GJ598kvHjx/Pggw/SuXNnTpw4wfz58/H3/3PY+8SJExk+fDijR4+mZ8+e+Pj4MGvWLMxms6ueloiIiIjUIIZh8Mmn9mq14cO7EhZWsjfRb7qxJ1FRdThzJrO42k3KxjAMvp+yHIBRI3tgsbi7OCI7Dw937r7b/oG/779fXqkTqDNmrCM9PZvIiGCu7N/G1eFUWg/9/Wq8vDzYvuMI8+ZvveCaadNXcTI+lZCQAG4d06diAxQREREREaczGRrqQFpaGoGBgZw9e1bz1kRERESkVJYt28XTz36Pt7eFH6c9Ru3a/pe/qNDmzYd46JEvMJlMfP7ZA8RERzgx0uprzZq9PPbEJHy8Lcz45Sn8/b1dHVIxq9XG7Xd8wKFDpxh7W1/uv2+IU88zDINDh06xes1e1qzdS0pyBldc0ZwBA9rSulXkBeem5ebmc/3IN0hNzeTZZ27gmr91cmqMVd233y3lk0/nExzsz9Qp/8DX16v4seTkdG68+R2ysnJ5/tmRXH11R9cFKiIiIiKA3v8Xx1N/DxERERGRMrJabXz2uX3e7+hRPUqVVAPo2LExQ4a0xzAM3nr7N6xWmzPCrPaKqtWuu65rpUqqAZjNbtx372AApv+4muTkdIefkZWVy4qVu3n9jRmMuOENbrv9fT7+ZB5btx7m6LEkpv+4mvvu/4TrR77JBx/+Qezu4+e0MZw5awOpqZmEhgZVmjaaldlNN/YiIiKY5OR0vv5myTmPffb5ArKycomOjmDIkPauCVBERERERJyqcvRIERERERGpgubN30rc4UT8/b255ebeZdrjoQevZuXK3ezZc4LfZq7n+hFXODjK6i1293E2b4nDbHZj9Kgerg7ngnr1bEnr1g3YufMo30xawmP/HFbuPVNS0lmwcDur1+xl69Y48vOtxY95enrQqVNjul/RgpBgf5Ys28XKFbGcOnWGH6au5IepKwkPq8WVV7ahX99WfD9lBQC33doXd3e11L8ci8Wd8Y8O5fEnJjFt+iqGDu1EVMO67N13ktm/bwJg/CPXaE6diIiIiEg1pcSaiIiIiEgZ5OUV8MWXCwF7QqKslVLBwf7cd+9g3pk4i08+nU+/vq1KXflWk00prFYbPKgd9eoFuTaYizCZTNx/72AeeuQLfpu5gZtv6kV4eO0y75edncddd3/EqcSzxfeFh9WiR48WdL+iBR07NsbT06P4sb59W5Gbm8/atftYuHg7q1bt4WR8KpO/X87k7+1/fyEhAfxNbQtLrEf3FvTs0ZJVq/cw8d3ZvPvOHbz3/mwMw2DQwLa0adPQ1SGKiIiIiIiTKLEmIiIiIlIGv81cT0LCGUKC/Rl5Q/mqzEYM78bs3zexb99J/vvRXJ5/bpSDoqzejh9PZumyXQBlrhisKB07NqZLl6Zs2HCAL75cxAvPl/01nvHrOk4lniUkJICbb+pFjx4taBAZcsH5aUU8PT3o27cVffu2Iicnj9Wr97Jw8XZWr95LXl4B427vd04yTi7v0UevYf2G/WzYcID/vPozW7cextPTgwcfuMrVoYmIiIiIiBOpN4WIiIhINXDk6Gm+/mYxy1fEujqUGiErK5dvJtlnK91xx5V4eVnKtZ/Z7MYTj12HyWRiztwtbNlyyBFhVns/TF2JzWbQvXsLmjQJdXU4l3X/ffZZa/Pmb2Xf/pNl2iM3N58pP9hbN95790BuvqkXDRvUuWRS7a+8vCxceWUbXnl5DH/MfpbvJj3CiOHdyhRPTRZRP7g4ofvHH5sBGHNL70pbOSkiIiIiIo6hijURERGRKio7O4/FS3Ywe/ZGtm0/AtgTNN9NeoSoqLoujq56m/7jalJTMwkPr83Qazo5ZM9WrSK5blgXfv1tPW+9M5NJXz9c4+ZdGYZBVlYuScnppCSnk56RQ1ZWbuEtj6ysXLKz84rvW7FyNwBjKnm1WpHolhEMGNCGRYt28OGHc3jv3TtLlRADmDlrAykpGYSGBnHVVR3KHZOPj2eVSEpWVmNv68fcuVs4lXiWOnUCGHNLH1eHJCIiIiIiTqbEmoiIiEgVYhgGsbHHmTV7IwsXbScrKxcANzcTtWv7k5SUxsT37PN+SvuGvZRMWlpWccXQPXcPxMPDcT9S33/fYJYu20lcXCLTp6/mlluqRsLo/9u77/iaz/eP46+TKTsyCGLVLhqjKNrasyillLaq1Kb2KlqqtdpaVau1ilJatDalNjVqt7Vq70RkyDw5n98f+cqvWiM4JyeJ9/PxyIOcc3/u+/qEKye5r3Pf96OwWCxs3nyMCxfDCLsZRVhoFGFhUcl/D4siLi7xkfor/mxuSpfOb6Nora9zxzps3foH+/afZueu41SuVDTV1yYkmFPORHv7rSpPXeE1PXJzc2HQoNcYN34F73d/BTe3J1u9KiIiIiIi6Z8KayIiIiIZQHh4NOvWH2TFyn2cOXM95fFcufxo8Mrz1K9XmvgEM2+9PZG9e0+xdesfVKlS3I4RZ17zF2wlOjqOAgWCqFXzOav27e3tTpfO9Rg56kdmzt5IjRolM922ckt+2MXESase2Mbd3RV/P0+8fdxxd3PF3d0Fd3fXf3244OGRhRcqFMpQReScOf1o/nolFny3jclfraFC+UKpLpCtWr2fGzciCQz05pX61lkpKU+ufLlCLPqut73DEBERERGRNKLCmoiIiEg6t3PXcQYP+Y74+OSVPC4uTlSrVoKGrzxPqVL5cHD4/2NzW7V8iTlzf2Xil6uoUKHQE5/9JXe7ciWcJT/sAqBj+1p3fe2tpX690qxcuY/DR84x8ctVjPzkTauPYS9RUbHMnrMJgBcrF+WZZ7Lj7++V/OHnhX9A8p+ZfdVP67ersmr1fs6du8FPP++l6WsvPPQaszmJefO3APBmq5dxcdGvciIiIiIiIvag38ZERERE0rF9+0/zweAFJCSYKVQwB6++Wo5aNUPw8nK7Z/vWb1dhzZrfuXr1FvMXbOW9djXTOOLMy2Kx8MmnPxAfn0hISD4qV079Fn6PwsHBgb59GvFuu6/YvPkYu3Ydp2LFIjYZK619O28LkZGx5M+fjZGfvvnUbmXo5eVGu3dr8MX4Fcyc9Qt1apfC0zPLA69Zu/YAV6/ews/Pk1cblUujSEVEREREROTfrP8WWxERERGxiiNHzzNg4DwSEsy89FIxZn7ThdeavHDfohpAliwudO9WH0jesvDy5ZtpFW6m9/3inRw4eAY3NxcGf9DUptsPFiyYg9ebVQLgi/ErUlYrZmRXroaz5IedAHTpXPepLard8eqr5cmTJ4Bbt2L4dt7mB7Y1m5OY+782rd54CVdXZ1uHJyIiIiIiIvehwpqIiIhIOnT8xGX69J1DbGwC5csXYsTwlqkuRFSrVoKyZZ8hIcHMpC9X2zjSp8Pff19j+oz1AHTvVp/gXP42H7NduxoEBnpz+fJNps/YYPPxbG3G1xtISDBTpswzVMokK/CehJOTI9261ANg8ZKdXLkSft+2v2w8zKVLN/Hxcadx4/JpFaKIiIiIiIjcgwprIiIiIunMmTPX6NV7FtHRcYSE5GP0yDcf6Twlk8lErx4NcXR0YOu2P9j92wkbRpv5JSaaGT5iMQkJZipWLJJm2/B5uLvSv19jAL5fvIPDh8+lybi2cPz4JdatOwhAty71bLraLyOpXLkoZcokF8GnTV93zzZJSRbmfrsZgDdavIi7u2saRigiIiIiIiL/psKaiIiISDpy8WIYPXrO4tatGIoWzcXnY1uTJYvLI/fzzDPZada0IgATJqwkMdFs7VCfGrNmb+LkySt4e7sxaECTNC0KVa5UlPr1ymAYBp+O/IG4uIQ0G9taDMNg8pQ1ANSuFULRornsHFH6YTKZ6N6tPiaTiQ2/HObYsQv/abN581HOnbuBl2cWmjV9wQ5RioiIiIiIyD+psCYiIiKSTly9eovuPWYSGhZFgQJBTBj3Lh4eWR67v3Zta5A1qwfnL4SyeMlOK0b69Dhy9Dzz5m8BoH/fxgQEeKd5DD3ef4WAAG8uXAxjxte/pPn4T2r37hPs3/83zs6OdOxQ297hpDtFCuekXr3SAEyavArDMFKes1gszPnfarXXX6/0RN8PRERERERExDpUWBMRERFJB8LCoujRcybXrt0iT+4AJo5/F29v9yfq09MzC1061wVg9uxN3AiNtEaoT43Y2ARGfLIEi8Wgdu1SVK9e0i5xeHm5MXBAEyDjbQmZlGThq6lrAWjWtCI5cmS1c0TpU8f2tciSxZkjR87z6+ajKY9v2/4Xp09fxd3dleavV7ZjhCIiIiIiInKHCmsiIiIidhYREUOPXrO4cDGMoCBfJk5oi5+fl1X6rle3NMWL5yYmNoGvpqy1Sp9Pi8lfreHixTACA73p06uhXWOpVLEI9etnvC0h16z5nb//voaXlxvvtK5m73DSrcBAH1q1fAmAKVPXkZBgxjAM5szZBECzpi/g7e1mzxBFRERERETkf1RYExERkfs6c+Yat27dtncYmdqVq+H07DWLv/++RkCAN5MmtiN7dl+r9e/g4EDvXg0xmUysX3+Qg4fOWK3vzGz3bydYtvw3AIZ80AwvL/sXNXp0f4XAwOQtIad/vcEuMdwMj+bYsQt3bVd4P7GxCcz4JnnryjbvVFNh6CFatXwJf38vLl++yY9Ld7Nr9wmOn7hMlizOtGiu1WoiIiIiIiLphQprIiIi8h+XLt1k0AfzefPtibR97ytux8TbO6RMxzAMfl6xl7dbT+L4icv4+rozaUJbgnP5W32sYkWDadjgeQDGj19JUpLF6mNkJpGRMYwc+SMAzZpVpFy5gnaOKJmXlxsD+ydvCbl48U4OHTqbZmMnJVn44cddNG/xBe07TuWttyey/Kc9D1w5t+j77YSGRpIjR1aavvZCmsWaUbm7u9KxfS0AZs/ZxIz/FU9fa/ICWbN62jM0ERERERER+QcV1kRERCRFTEw806avo9Vb49my9Q8Arl69xTf/W3Ui1nEjNJK+/eYyeswyYmLiKVEiDzOmdSZfvmw2G7Njh1p4eWbh5KkrLP9pj83GyQw+/+JnQsOiyJMngC6d6tg7nLtUrFiEV+qXTd4SctSPabIl5MmTV+jYaRrjxq8gJiYeBwcTZ85eZ+xny2n82himTF3LtWu37rrm5s0oFizYCkDHDrVxcXGyeZyZQb16ZShYIIjo6DhOnLiMi4sTLd940d5hiYiIiIiIyD/oN1wRERHBYrGwbv0hpk5dS2hYFADlni/Iyy8/yxfjfmbJDzupU7sURYvmsnOkaSM8PJpvZm4kKcmCm7sLHu6uuLm54P6/P93cXPFwT/48b95APDyypKpfwzBYt/4g48evICo6DhcXJ9q/V5M3WryIo6Nt3++UNasnHdrX4ovxK5jx9QZerFzUqltO2tuN0Eh8fdxxdn6yH283/HKIXzYextHRgQ+HNidLFhcrRWg973evz569J7l4MYzpMzbQ4/1XbDJObGwCs2ZvZNH3O0hKsuDh4UqnjnWoVTOENWt/Z8mSnVy+Es78BVtZuGg7VasUp3nzypQonptZszcRE5tA0aK5qFmjpE3iy4wcHR3o3q0+PXrNAuDVRuXw97fOeYsiIiIiIiJiHSYjNQckZHKRkZH4+PgQERGBt7e3vcMRERFJU3/8cYHxE1dy7NgFAHLl8uP97q/wYuWimEwmhg3/nvUbDlG4cE6+mdEZJydHO0dse2M/W57qVV1OTo6ULpWfypWL8mLlouTM6XfPdjdvRvHZ5z+lrAQsWjQXQwc3I3/+7FaL+2HM5iQ6dJzGX8cvUbx4bqZMbv/Ehaj0YPv2P+k/cB6+vu7UqV2aBg3KUuCZoEfqIyIihl9/PcLU6euJioql7bvVea9dTRtF/OR27TpOn35zMZlMTJncnpCQfFbtf/fuE3z2xU9cuRIOQNWqxenVsyGBAf//s3JSkoUdO/9i8ZKd/P773ymPFy2ai5Mnr5CUZGHypPcoU+YZq8b2NBg1eimHDp/ly0nv3fU1FxERERGRR6f5f7E2FdZQYomIyNMpNDSSaTPWs3r17wC4u7nwzjvVaNG88l3btt28GUXLVuOJio7j/e71eaNF5t6WLCwsiqavf0ZCgpkWzSvj5ORIbGw8MTEJyX/GJhATE09sbAKRkbGEhkbedX3+fNmoXLkolSsVpUSJPDg6OrDp1yN8/sVP3LoVg5OTI++2qcbbb1WxS5Hy0qWbtG03majoOJo1q0jvng3TPAZr69rtaw4cPHPXY88WC6ZBg+epVfO5+64ojImJZ9v2P9nwyyF+++1kytlzRYvmYsa0Tum+iDxy1I+sXLWf4GB/vp3T3Sqr68LCopgwaSUbNx4BIHs2H/r0bsSLLxZ74HWnTl1h8ZKdrN9wiIQEMwCVKxXls7GtnzgmERERERGRJ6H5f7E2FdZQYomIyNPFbE5i8ZKdyVu1xcQDUL9eGTp2rH3flRE/r9jL6DHLcHNzYcG8ngQF+aZhxGlr6rR1zJu/hZIl8zBtSkdMJtMD258/H8r2HX+yc+dfHDp8LqU4A+Dj407ePIEcPnIOgIIFghgypBmFC+W06T08zJ0VXgDDh7WgVs0Qu8bzJM6dv0HLVuNxcDAxeFBTtm77g+07/kr5d8iSxZnq1UrSoEFZQp7Lh9mcxO7fTrJ+w0G2b/+L+PjElL4KF85JrZrP8Wqj8nh6pm57T3uKjo7jrdYTuX49guavV6JnjwZP1N+atQeYMCF5m1IHBxOvv16J9u1q4u7umuo+wsOjWf7THk6evEL37vXJEZT1iWISERERERF5Upr/F2tTYQ0lloiIPD32/36aceNWcObsdSB5VU+vng0pXjz3A6+zWCx07fY1hw6fo3Kloowd8/ZDC04ZUXR0HE2ajuH27XjGjH6blx6ySuffIiNj2f3bCXbs+JPdu08QFR0HJJ+b9NabL9P23erpZuvFOwVENzcXZn7dhXz5stk7pMcy+as1fLdw212ro27ejGLt2oOsWLWPc+dupLQNDvYn4tbtlH+XO4/VrhVCzZrPkS9vxvsa7N59gt595wAwauRbVHn52cfqZ8fOv+jX/1sAihTOyYD+TZ6aMxVFRERERCRz0/y/WJsKayixREQk87txI4IvJ6/hl42HAfD19aBL57rUr1caBweHVPVx5sw13nl3MmZzEp9+0opqVUvYMmS7mDd/C1OnrSN/vmzM+/b9VH9t7sVsTuLIkXP8+eclypZ9hiJF0leRwmxOomfv2fz++9/kyxfINzO6PNLKpPQgIcFM49dGc+tWDGNHv/2f7QoNw+Do0fOsWLmPjZuOEBubAEBAgDc1apSkdq0QihbJleGLxBMmrmTxkp24u7vyzdedH7lAeOVKOG3aTiYqKpZGDcvRt0+jdL8NpoiIiIiISGpp/l+sTYU1lFgiIpJ5mc1JLF68k1mzNxITm4CDg4kmjSvQ/r1aeHu7PXJ/M77ewJy5vxLg78V3C3pliO3yUis+PpFmzT8nLCyKoYObUa9eGXuHZHM3b0bR5t3JhIZFUavmcwz7qEWGKjL9svEwH360iMBAb35c0u+BxaDbMfH89tsJfH08CAnJh6Pj4xdN0xuzOYkePWdx4OAZ8uQJYObXXe57rty/xccn0rnLDP46folniwUz5asOd52xKCIiIiIiktFp/l+sLfPMKIiIiMhd9u0/Tes2k5g8ZQ0xsQmUKJGHmd90pU/vRo9VVAN4p3VVgoP9CQ2LYvqM9VaO2L7WrD1AWFgU2bP5UKtWxj1z7FH4+Xkx4uOWODo6sOGXwyxdutveIT2Sn37eA0CDV8o+dIWVh7sr1auVpEyZZzJVUQ3AycmRESNaki2bD+fPh/LxJ0uwWCwPvxCYOGkVfx2/hI+PO5+MaKWimoiIiIiIiMhDZK5ZBRERESEhwcywjxfzfo+ZnD17A19fDwZ/0JRpUzpQpHDOJ+rb1dWZ/n1fBWDpst84duyCNUK2u6QkC98t3AbAG2+8+FRtgxcSko8unesCMPHL1Rnm3/TixTD27/8bk8lEgwbP2zscu/PL6snIT9/ExcWJbdv+ZO63mx96zZq1B1j+0x5MJhMffdicoCBfm8cpIiIiIiIiktGpsCYiIpLJLPhuK+vXH8TBwUSzpi+w6LvevFK/7BOdF/ZPzz9fkHp1S2MYBmPGLsNsTrJKv/a0ZcsxLl4Mw9vbjUYNy9k7nDT3RovKVK1aHLM5iSFDv+PWrdv2Dumhfl6xF4AXKhQiR1BWO0eTPjxbLJi+fZIL39/M3MiOnX/dt+3p01cZ+9lyANq+W50XKhROixBFREREREREMjwV1kRERDKRq1dv8e28LQAMGdyM3r0ef9vHB+nWtR4+Pu6cOn2V7xfvsHr/ackwDObNT/6aNWtaETc3FztHlPZMJhODBzUld7A/165HMPzjxSQlpW4rQXtITDSzavV+ABo1Km/naNKXBq+UpUnjChiGwfCPF3PhQuh/2ty+HccHgxcQH59IhfKFeLdNNTtEKiIiIiIiIpIxqbAmIiKSiXw5eTXx8YmUKpWPOrVL2WycrFk96da1HpC8Muby5Zs2G8vW9u47xfETl8mSxZlmTSvaOxy78fDIwshP38TV1Znf9pxkztxf7R3SfW3b/ifh4bcJ8PeicqUi9g4n3enZ4xVKlsxDdHQcAwfN53ZMfMpzhmHw6agfuXAxjOzZfPjow+ZWW80qIiIiIiIi8jTQb9EiIiKZxL59p/h181EcHEz06tEQk8lk0/Hq1ytDmdL5iY9PZOznP2XYLSHnz98KQKOG5fD19bBzNPZVoEAQ/fs1BmD2nE0cPXrevgHdx08/J28DWb9+2afqPLzUcnZ24tMRrQjw9+LM2et8OvIHDMMAYNH3O9i8+RhOTo58+kmrp/7/vIiIiIiIiMijUmFNREQkEzCbkxg/YSUArzWpQKFCOWw+pslkol+/xjg7O7Jnz0k+GLyAuLgEm49rTX/8eZF9+0/j6OjAGy1etHc46UK9uqWpU6cUFkvyyqb4+ER7h3SXS5dusnfvKQAaNXzeztGkXwEB3nz6SSucnBzZvPkY8+Zv5dChs0yZuhaAHt3r8+yzue0cpYiIiIiIiEjGY9fC2qhRoyhXrhxeXl5ky5aNxo0bc/z48bvaGIbBsGHDyJkzJ25ublStWpVjx47d1SY+Pp7u3bsTEBCAh4cHjRo14uLFi2l5KyIiInb1w4+7OHP2Or6+7rzXrlaajZs3TyAjPm6Ji4sT23f8xfs9ZxEREZNm4z+p+QuSz1arXSuEoCBf+waTjvTq0QB/fy/OnbvBNzN/sXr/hmFw69Ztjhw9z5o1v7N12x9YLKk7023Fyn0AlC9fiJw5/aweW2ZSsmReevdsAMD0GesZ+MF8kpIs1K4VwmuvvWDn6EREREREREQyJrsW1rZs2ULXrl3ZvXs3GzZswGw2U7t2bW7fvp3SZuzYsYwbN47Jkyezd+9egoKCqFWrFlFRUSltevbsybJly1i0aBHbt28nOjqaBg0akJSUMbekEhEReRQ3b0Yxc9ZGADp1rIO3t1uajv/yS88ycXxbvDyzcPToeTp1mc6Vq+FpGsPjOH8+lC1b/gDgzVYv2zma9MXb250B/9sScuGi7Y+9JWR8fCJ//HmR9esP8s3MXxg2/HvatZ9C3XojqN/gUzp2msaIT39g4KD5DBg4n8jI2Af2ZzYnsWr1fgBebVTusWJ62rz6ankaNngewzCIiIghf75sDOjfxOZbxYqIiIiIiIhkVibjzoEL6cCNGzfIli0bW7Zs4eWXX8YwDHLmzEnPnj0ZMGAAkLw6LXv27IwZM4aOHTsSERFBYGAg8+bNo0WLFgBcvnyZ3Llzs3r1aurUqfOfceLj44mP//9D3CMjI8mdOzcRERF4e3unzc2KiGQySUkWjh+/RGLig9/U4OrqTKFCOXB01G7E1vLJyB9Yvfp3ihbNxTczOuPgYJ+v7d9/X6N33zlcvx5BQIA3479oQ4ECQXaJJTVGjVnKihX7eLFyUcaOaW3vcNKlj0csYe26A+TJE8Dc2d1xdXVO9bUXLoTyfo+ZXLsecd822bP5kCuXH0ePXSAhwUzOHFn59NM3KVI45z3bb9lyjEGDF+Dn58nypQN0vloqxccnMnDQfM6evc748e+SL282e4ckIiIiIiKSZiIjI/Hx8dH8v1iNk70D+KeIiOSJFz+/5G19zpw5w9WrV6ldu3ZKG1dXV6pUqcLOnTvp2LEj+/fvJzEx8a42OXPmpESJEuzcufOehbVRo0YxfPhwG9+NiMjTIzY2gd5953Do0NlUtQ95Li8ffdhCW+9ZwZGj51m9+ncA+vRqZLeiGsAzz2RnxrRO9OozmzNnrtO56wzGjHqL0qWfsVtM93MjNJK1aw8A8PZbVewcTfrVs0cD9u07xfnzoXz9zS9061ovVddduRqeUlTz8nKjQIHs5A4OIDjYn9y5/ckdHECuXH5kyeICwPHjlxg85DsuXwmnY6dp9O3diAYN/nt+2k8/7wWgfr0yKqo9AldXZ8aPe5ekJIve1CAiIiIiIiLyhNJNYc0wDHr37s2LL75IiRIlALh69SoA2bNnv6tt9uzZOXfuXEobFxcXsmbN+p82d67/t0GDBtG7d++Uz++sWBMRkUcXH5/IwA/mc+jQWVxdncmezeeB7a/fiODQ4XO802YSAwY0oXq1kmkUaeaTlGRh/PgVALxSvyzFi9v/tSxbNh+mftWRAQO/5dDhc/TqM4ePPmxOtaolrNL/ne3swm5GERYWRVhoFKFhUdy8GU1oWGTKY7dj4h/YT0KCmcTEJEKey0vJknmtEltm5O3txoD+Teg34FsWLtpOlSrFKVkizwOvCQ2NpEfPWVy7HkGePAFMmdwePz+vB15TpEguZs3sxsefLGbnzuOMHL2UI0fP07tXw5RVcleuhPPbnpMANGqobSAfh4pqIiIiIiIiIk8u3RTWunXrxuHDh9m+fft/nvv3GRCGYTz0XIgHtXF1dcXV1fXxgxURESD5vKOhHy1i795TuLm5MGF824dOul+6dJOPhi3ijz8vMmToQho1PEXPHq+krFzJrK5cCWfV6v1UqlSUZ4sFW6XPlav289fxS3h4uNK5U+2HX5BGvL3dmDC+LcOGf8+WrX8wZOhCevdsQNOmFZ+o3xuhkfTtO5eTp65YKVJo+24Nq/WVWVWuXJR6dUuzZu0BPh35wwO3hLx16zY9es7i4sUwcubIyqQJ7R5aVLvD29uNsaPfZt78rXz9zQZWrNzH8ROX+XREK3Ll8mPlqn0YhsHzZQsQHOxvzVsUEREREREREUm1dFFY6969Oz///DNbt24lOPj/JxuDgpLPZbl69So5cuRIefz69espq9iCgoJISEggPDz8rlVr169fp1KlSml0ByIiT5+kJAsfj1jC9u1/4uLixNgxbz+0qAaQK5cf06Z25JuZvzBv/lZ+XrGXw0fOMvyjNyhUKMdDr89oDMPgp5/2MPmrNcTEJjBr9ibq1y9D54518PdPXcHhXiIjY5g2fR0A77WrmeriRVpxdXXmkxGtGDf+Z5Yt38MX41cQGhZFh/a1HvrmmHuJioqld585nD6dvBrdx8cdf38v/P28kv/09yIgwAs/P08C/L3w9HTjYcN4ebmRPbvvY9zd06fH+w3Yu+/0A7eEjIqKpWfv2Zw5e53AQG8mTWxHtoesYP03BwcH3mldlWeLBfPR8EWcOHGZtu0mM3hwM1as3A/Aq420Wk1ERERERERE7MdkGIZhr8ENw6B79+4sW7aMzZs3U6hQof88nzNnTnr16kX//v0BSEhIIFu2bIwZM4aOHTsSERFBYGAg8+fPp3nz5gBcuXKF4OBgVq9efc8z1v5NhxeKiDwai8XC6DHLWLlqP05Ojowe9RaVKhZ55H727T/Nxx8vJjQsChcXJ7p2qUuzphUfq/CSHl29eotRo5eyd98pILmoeOnSTQDc3V1p8041mr9eCReXR3+fyxfjfubHpbvJnz8bc2d3T7fnTRmGwZy5v/L1N78AyUWRvn1efaQt6eLjE+nZezaHDp3F39+LaVM6kiuXn61ClvvYsfMv+vX/FpPJxLSpHe8qpMfExNOrz2yOHDmPr68HU75qT7682Z5ovGvXbjHkw4UcO3Yh5TFfXw9+WjYAZ+d08d4wERERERERyQA0/y/WZteDFrp27cr8+fP57rvv8PLy4urVq1y9epXY2FggeQvInj17MnLkSJYtW8bRo0dp06YN7u7utGrVCgAfHx/atWtHnz592LhxIwcOHOCtt96iZMmS1KxZ0563JyKSKRmGwcRJq1i5aj8ODiaGfdT8sYpqAM+XLcC3c9+ncqWiJCSYGT9hJf0HzCM8PNrKUactwzBYsXIfb7WeyN59p3BxcaLH+6/w/cLezJjWiWeLBRMTE8+UqWt5q/VEtm//k0d5n8vJk1dYtvw3AHr3aphui2qQ/Fr+bpvqDOjfBAcHEz/9vJehHy0kIcGcquvN5iQ+HLaIQ4fO4uHhyrjP26ioZieVKxWlfr0yGIbBp5/+QHx8IpBc+BwwaB5HjpzHyzMLE8e3feKiGkD27L5MmdyeZs3+fwvR+vXKqKgmIiIiIiIiInZl1xVr91uRMHv2bNq0aQMkT04OHz6c6dOnEx4eToUKFfjqq68oUaJESvu4uDj69evHd999R2xsLDVq1GDKlCnkzp07VXGoYi0iknrTpq/j23lbABg65HXq1S39xH0ahsGPS3cz+as1JCSYCfD3YsTHLQkJyffEfae169cjGD1mGbt/OwFAiRJ5GPJBM/LkCUhpY7FYWLvuIFOnrSMsLAqACuUL0eP9V8iX78EFiX+u3qpRvSQjPm5pu5uxsl83H2XY8O9JTEyibNlnGD3qbTzc73/mqWEYjB6zjBUr9+Hi4sT4ce9SulT+NIxY/i0yMpa3Wk8kNDSSlm+8SKeOtRk0eAE7dx7H3c2FiRPaUbx46n7+ehS/bj7Kvn2n6dihFt7e7lbvX0RERERERDIvzf+Ltdm1sJZeKLFERFJn7rebmT5jPQD9+r5Kk8YVrNr/yZNX+HDYIs6du4G7mwtffvkexYoGP/zCdMAwDNasPcCEiSuJjo7DxcWJDu/VokWLyvfd9vB2TDxz5/7K94t3kJiYhKOjA82aVqRE8dyEhkURGhpFaFgkYf/7MzQ0iujoOACyZHFm4YJeGe6MsH37TzNw4DxiYhMoWiQXX3z+Dlmzet6z7bTp6/l23mYcHEx8+smbVHn52bQNVu7pn1tClgrJx4GDZ3B1dWbc5+9QuvQz9g5PRERERERE5C6a/xdrU2ENJZaISGp8v3gHEyetAqBb13q0avmSTcaJi0ug/4B57Nt/Gl9fD6ZP7Uju3AEPv9BODMNg//7TzFuwlb17k89Se7ZYMEMGN3vo6rM7Ll4M48uvVrNt25+pau/m5kK3rvWsXthMK3/+dZE+fedw61YMeXIHMH78u+QIynpXm8VLdjJh4koABg5oQqOG5ewRqtzHJ5/+wOo1vwPg5OTI2DFv80KFwnaOSkREREREROS/NP8v1qbCGkosEcmYZs/ZxNatf9Clc13KlStokzGuXbvFrt0n2LnrONu3Jxd92rWtQbu2NWwy3h23Y+Lp1u1rjp+4TI4cWZk2tSOBAenr+3N8fCJr1x1kyQ87+fvvawA4OzvSrm1NWrV88bHOPduz9yTz5m/BbLYQEOBFgL83AQFe+Pt7ERDgTcD//vTwcL3vdsoZxfnzofToNYtr124RGOjN+C/e5ZlnsgOwfsMhhg3/HoAO7WvR5p1q9gxV7iEqKpZ33v2SGzci+eTjllSpUtzeIYmIiIiIiIjck+b/xdpUWEOJJSIZz297TtKr92wg+bzKN1u9RIf2tR6rmPNPZnMSR4+dZ9eu5GLa6dNX73r+zVYv06VznTQp6twMj6ZT5+lcvBhGgQJBTJncHi8vN5uP+zDXr0ewdNlufvp5LxERMUDyCrL69crQonllgoP97RxhxnH9egS9es/mzNnreHm58cVn73A7Jp5+/b/FbE6iWbOK9OrRIMMXETOr27fjiImJJzDQx96hiIiIiIiIiNyX5v/F2lRYQ4klIhlLdHQcb7eeyLXrEeTLF8jZszcAKFYsmOHDWhCc69EKO1FRsWzf/ic7dx1nz56TRP3vDC8ABwcTxYvnpuILRahUqQiFC+W06r08zOXLN+nYeTphYVGEhORjwrh3cXV1TtMY7jh69DyLl+zk181HSUqyAJAjR1aavvYCDRs8ny6KfhlRREQMffvP5dixC2TJ4ozJZCI2NoGaNZ5j2EfNcXC49/l0IiIiIiIiIiKpofl/sTYV1lBiiaRXkZEx7Np9ArM56YHtXFycqFSxCB4eWdIoMvsaNWYpK1bsI1cuP76d8z6/7TnBqFFLiYqOw93dlb59GlG3TumH9nPlSjjfL97BypX7iIlNSHncx8edChUKU+mFwlSoUBgfH3db3s5DnTx5hS7dZnD7djwvvVSMT0e0euKVeakRFRXL4SPnOHjwLHv3neLEicspz5UulZ/mr1fixReL4eiows+Tio1N4IPBC/htz0kAypcvxGdj3sbZ2cnOkYmIiIiIiIhIRqf5f7E2FdZQYomkRzduRNC5ywwuXwlPVXt/fy86daxNvbqlM/UKl92/naB3nzkAfDW5PaVL5Qfg6tVbDB+xmEOHzgJQt05p+vRphIe763/6OHbsAgsXbWPzlmNYLMkvAfnyBVK1SgkqVizCs8WC012x6MDBM/TqPZuEBDMNGzzPwAFNrL494M2bURw8dJaDh85y6OBZTp2+yj9fIp2dHalVK4Tmr1dK85V7T4PERDNTp60n/FY0/fq8ivs9/u+KiIiIiIiIiDwqzf+LtamwhhJLJL25GR5N125fc+7cDQIDvSlYMMcD2587ez2lAFesWDC9ejSgRIk8aRFqmoqOjuOt1hO5fj2C15tVpFfPhnc9bzYnMffbzcyeswmLxSBXLj+GD3uDZ4sFk5RkYfv2P1m4aDuHj5xLuaZcuYK0fONFKpQvlO7Psdqy9Q8GD1mAxWLQ+u2qdOpY+4n7vHXrNjNnbWTvvlOcPx/6n+fz5A4gJCQfpULyUeGFwvhl9XziMUVEREREREREJO1o/l+sTYU1lFgi6UlkZCzd3/+Gk6eukD2bD1OmdCBHUNYHXpOYaGbJkl3MmrOJmJh4AOrUKUWXTnUIDPRJi7DTxKjRS1mx8v+3gHRzc7lnu0OHzjLs48Vcu3YLR0cHGjUsx959p7h4MQwAJydHatcK4Y0WlR9atExvfl6xl9FjlgHQs0cDmr9e6bH7Cg+PpnuPmfz99zUATCYTBZ7JTqlS+SgVkp+QkHz4+3tZJW4REREREREREbEPzf+LtamwhhJLJL24HRNPz56zOPbHBfz8PJkyuQN58gSk+vqwsCimz1jPqtW/YxgGbm4utH67Km+0qIyrq7MNI7e9+20BeT+RkbGMGbuMXzcfTXnMy8uNJo3L07RpRQIDMu73ujlzf2XG1xsA6Nf3VRq/Wv6RV9v9s6gW4O9Fnz6vUrpUPry97XuenIiIiIiIiIiIWJfm/8XaVFhDiSWSHsTFJdCn71wOHDyDt7cbX01uT4Fngh6rrz//usiEiSs5cuQ8ADlzZKV7t/q8/PKz6X67w3t52BaQ92MYBitX7WfdugNUrVqC+vXKZIpzqwzDYMLElSz5YRcAr9QvS98+jVJdPL0ZHs37/yiqTf6y/SMVcEVEREREREREJOPQ/L9YmwprKLFE7C0hwczAQfPZ/dsJPDxc+XLiexQtmuuJ+jQMgw0bDvHV1LXcuBEJQJPG5enb59UMV1xL7RaQTxOLxcKC77YxfcZ6LBaDQgVz8OknrQgO9n/gdSqqiYiIiIiIiIg8XTT/L9bmYO8AROTpZjYnMWz49+z+7QRZsjjz+dh3nrioBsnnZdWuXYqFC3rxTuuqODiYWLZ8D0uX/WaFqNPO7t0nWLFyHyaTicEfNFVR7X8cHBx4+60qTJzQlqxZPTh56gpt3/uKrdv+uO81dxXVArxVVBMREREREREREZFHpsKaiNiNxWLhk5E/snnLMZydHRkz6m1CQvJZdQx3d1c6dqhN5051AJgwcSUHD52x6hi2Eh0dx+ixywB4vVlFSoU8+Fy1p1HZMgWYM6sbJUvmITo6joGD5jN12jrM5qS72t0Mj6b7+9/8f1Ft0nsqqomIiIiIiIiIiMgjU2FNROzCMAw++/wn1q8/iKOjA5+OaEW5cgVtNl6rli9Rs8ZzJCVZGDzkO65fj7DZWE8qKcnCiZOXGTn6R65fjyBXLj86daxt77DSrcBAH776sj0tmlcGYN78LfTsPZubN6OA/y+qnTlzXUU1EREREREREREReSI6Yw3tsfo02b79T7Zu+wPLQ/7bZ3F1pmHDchQpnDONInv6TJ22jnnzt2AymRg+rAU1azxn8zFjYxPo2Gkap05fpVixYKZMbo+rq7PNx32YxEQzfx2/zMGDZzh46CyHD5/l9u14IHlLy68mv6fVaqm0ceNhRo5eSmxsAgEB3vTt04jpM9anFNW++vI9cudWUU1ERERERERE5Gmh+X+xNhXWUGI9DcLCohg3fgW/bj6a6mtMJhMNGzxPxw61yJrV04bRPX1++nkvY/63xeEHA1+jQYPn02zsy5dv0va9r4iMjOWV+mX5YNBrmEymNBsfIC4ugaPHLnDo0FkOHjrD0aMXiI9PvKuNu7srz5XMS8OGz1Otaok0jS+jO3v2Oh8MWcDZszdSHlNRTURERERERETk6aT5f7E2FdZQYmVmhmGwZu0BJk5aRVRULI6ODjRpXJ5s2XwfeN3x45fYuOkIAJ6eWWj7bnWavvYCzs5OaRB15rb7txP06/8tSUkW2rWtQbu2NdI8hr17T9Grz2wsFoM+vRrStGlFm44XHR3H4SPnUlak/fXXpf+cAebj406pkHyUKpWfUiH5KFAgCCcnR5vGlZnFxMQzasxSNm48oqKaiIiIiIiIiMhTTPP/Ym0qrKHEyqyuXA1n7Njl/LbnJACFC+fkg0GvUbhQ6rZ3PHToLBMmruT4icsA5MkTQM/3G/DCC4VtFrO9HT58jmN/XKBs2WcoVDCH1VdynT59lY6dpxMTE0/dOqUZOqRZmq8Wu+O777YxecoaHB0dmDSxHaVLWW+rxfDwaA4dPsvBg2c5eOgsJ09e4d/fagMDve8qpOXNG4iDg469tCbDMDh8+Bx58wbi6+th73BERERERERERMQONP8v1qbCGkqszMZisbB02W9MnbaO2NgEXFycaNe2Bi3fePGRVwAlJVlYveZ3pk1fR3j4bQAqVSrC+91eIU+ezLP6xTAMFi7azpSpa7FYkr8lBAR4U7FiYSq9UITnyxXEw931ica4ERpJhw5TuXY9gtKl8jN+3Lu4uNhvBaBhGAwb/j0bfjlM1qwezPqmK9mz+z5xv79sPMzHI5b8Z0VacLD/XYW0HDmy2q2oKCIiIiIiIiIi8rTQ/L9YmwprKLEyk7PnrjN69DIOHzkHQMhzeRk48DXy5gl8on6jo+OYPWcTi5fsJCnJgpOTI81fr8S771Z/4oKTvcXFJTB6zDLWbzgEQNEiuTh77jpxcf9/5peTkyMhIXmp+EIRKlUqQt48gY9UFIqJiadrt685fuIyefIEMGNaJ7y93a1+L48qLi6Bjp2mc/LUFYoVC2bK5Pa4ujo/dn9//32N9zpMIS4ukXz5AilbpgClQvIREpKPgAB9bxEREREREREREUlrmv8Xa1NhDSVWZpCUZOG7hduYOWsjCQlm3N1c6Ny5Lk0al7fq9nrnzt9g0qRV7Np9AoD8+bLx2djW5MzpZ7Ux0tKVq+EMHDSfkyev4OjowPvd69OsaUUSEswcPHSWXbuOs3PXcS5eDLvruly5/GjRvDINGzz/0EJUUpKFQR/MZ/uOv/D1dWfG9M4E5/K35W09ksuXb9L2va+IjIylfv0yDB7U9LFWkt2+HUe796Zw/kIo5coVZNznbXB01NaOIiIiIiIiIiIi9qT5f7E2FdZQYtnSgYNnOHLkHEFBWcmd25/cwQF4emax6hjnzt/gk09/4NixCwC8UKEw/fq9So6grFYd55927jrO6DHLCA2NxNfXgzGj36ZkiTw2G88W9v9+mqEfLuTWrRh8fd355ONWlCnzzD3bXrgQys5dx9m1+wQHDvxNYmLyNocBAd60frvKAwts4yesYMkPu3BxceLLSe+ly6/T3r2n6NVnNhaLQYf2tXinddVHKq4ZhsGQoQv5dfNRsmXzYfbMrmTN6mnDiEVERERERERERCQ1NP8v1qbCGkosWzCbk5g+Yz0Lvtv2n+d8fT1SimzBwf7kDvYnf/7s5M+f7ZGKGRaLhSU/7GLqtHUkJJjx8HClx/sNeKV+mTQ5u+rGjQj6DZjHiROXcXFx4oNBTaldK8Tm4z4pwzBYvGQnk79aQ1KShSKFczJq5FsEBfmm6vqYmHjWrjvAt/O2cP16BJBcYHv7rZdp1LDcXQW2xUt2MmHiSgA++bgl1auXtPr9WMui77cz6cvVALR840W6dqmb6tWO3y/ewcRJq3BycmTK5PaUSIfFQxERERERERERkaeR5v/F2lRYQ4llbVev3uLDYYs4evQ8ABUrFiHmdhwXLoZx82b0fa8rWCCIVxuVo3btUnh5uT1wjEuXbvLpqB84ePAsAOXKFWTQgNdSXRyyltjYBIZ9/D3btv0JwHvtavBum+ppUth7HPHxiYwZu5y16w4AUKdOKQb2b/JY54olJJhZtXo/3367mWv3KLDt2XuKgYPmYxgGnTvV4e23qlj1Xmxh4aLtfDk5ubhWv14ZBg5ogpOT4wOvOXz4HF27f01SkoVePRvwerNKaRGqiIiIiIiIiIiIpILm/8XaVFhDiWVNO3b8xYhPlxAZGYuHhysfDGpKtaolUp6/fTuOixfDuHAxjAsXQrl4MYzzF0I5efIKCQlmAFxdnalRoySvNipPieK57ypSGYbB8p/2MPmrNcTGJuDm5kK3rvVo/Gp5uxWzkpIsTJ22ju8WJq/Oq127FIMGPF6xypb2/36aSZNWc/JU8nlq3brWo/nrlZ7463a/Alt0dCxxcYk0aliOAf0bp9ti47+tWfM7I0cvJSnJQuVKRflkRMv7/lveDI+mzbuTCQ2NpGaN5xg+rEWGuU8REREREREREZGngeb/xdpUWEOJZQ1mcxLTpq9PKS4VLZqLEcNbkiuXX6quj4yMZd36Ayz/aQ9nzlxPebzA/1ax1aldipiYeEaOXsrevacAKFUqH4MHNUv1GLb284q9fPb5TyQlWXiuZF5GjXwzXZyz9ddfl5g2Yz179pwEwMfHnREft+T5sgWsOk5CgpnVq/cz9x8FtvLlC/H52NYPXfWV3mzf/idDPlxIQoKZkOfyMnZM6/+sokxKstCz9yz27/+bvHkDmfl1F9zdXe0UsYiIiIiIiIiIiNyL5v/F2lRYQ4n1pK5evcXQjxZy7NgFAF5vVpGuXerh4uL0yH0ZhsHRo+f56ee9/LLx8F2r2BwdHYiJicfFxYnOnerwerOKqT4DK63s23eKwUO+Iyo6jpw5svLZ2Nbkz5/dLrGcPx/K199sYOOmIwA4OTnS+NVytHmnGn5+XjYbNyHBzJq1B7hwIZQ271TD0zOLzcaypYOHztB/wDyio+MoWCCIcV+0ISDg/78/TJu+nm/nbcbNzYVvZnS227+ziIiIiIiIiIiI3J/m/8XaVFhDifW4EhPNbNv2J2M+W05UVCyenln4YNBrVK1S4uEXp8KdVWw//byXv/++BkDx4rkZMrgZefMEWmUMWzh77jr9+n/LpUs38fTMwkdDm1O5ctHH7s9sTuLIkXO4ubmSO7c/Hh4PLlTdCI1k9uxNrFi5j6QkCyaTidq1Q3ivbc10s7ovozh58gq9+84hLCyKnDn9mDD+XYJz+bNjx1/0G/AtAMOHtaBWzRA7RyoiIiIiIiIiIiL3ovl/sTYV1lBiPYrQ0Eh27z7Bzl3H2bP3FDEx8QAUKxbMiOFvkDOn9Qs3hmFw9NgFrl+7RdWqJXB0TF+r1O7l1q3bDPpgPocOnwOSV/F16Vz3kc9dO38+lOEjFvPnnxdTHsua1YM8uQMIDg4gd25/goP9yR0cgK+vO0t+2MXiJTtTVvpVqlSETh1qU7BgDuvd3FPm0qWb9Og1i8uXb+Ln50m/vo0ZOfIHoqLjaNb0BXr3amTvEEVEREREREREROQ+NP8v1qbCGkqsB0lKsvDHnxfZufMvdu0+wYkTl+963tfXg4YNnue9djVwdn70rR8zs4QEM9Omr2fR99sBKFQwB8OHtSBfvmwPvdYwDJb/tIdJX64mPj4Rd3dXXF2dCA+/naqxnyuZl06dalMqJP8T3YMkCwuLonefOZw8dSXlseLP5mbKV+31/15ERERERERERCQd0/y/WJsKayix7uXIkXP8uHQ3u387QWRk7F3PFSsWTKWKRahYsQhFi+RMd+ecpTe7dh1nxKc/cOvWbVxdnenZowGNGj6PyWS6Z/uwsChGjVnKzp3HAShb9hmGDn6dbNl8iI6O4+LFMC5cDE3+88L//z0iIoYCBYLo1KE2lSoVuW//8niiomLpP3Aehw6dxcfHndkzuxEU5GvvsEREREREREREROQBNP8v1qbCGkqse9nwyyE+GvY9AJ6eWahQvhCVKhahQoVC+Pl52Tm6jCcsLIqPP1nC3r2nAKhWtQQD+jfB29vtrnZbtv7BmLFLuXUrBhcXJzp1rE3z1yulqngZG5tAlizOKqjZUHx8IitX7adM6fzkz5/d3uGIiIiIiIiIiIjIQ2j+X6xNhTWUWPcSGRnD/AVbqVSpCCWK58HJydHeIWV4FouFRYt2MHX6OpKSLGTP7svwj1rw3HN5uR0Tz8SJK1m5aj+QvG3khx++ToFnguwctYiIiIiIiIiIiEjGpfl/sTa77uG3detWGjZsSM6cOTGZTCxfvvyu5w3DYNiwYeTMmRM3NzeqVq3KsWPH7moTHx9P9+7dCQgIwMPDg0aNGnHx4sU0vIvMydvbnS6d61IqJL+Kalbi4OBAq1YvMX1aJ3Ll8uPatVt06TaDiZNW8U6bL1m5aj8mk4k3W73M1zM6q6gmIiIiIiIiIiIiIpLO2LWwdvv2bUJCQpg8efI9nx87dizjxo1j8uTJ7N27l6CgIGrVqkVUVFRKm549e7Js2TIWLVrE9u3biY6OpkGDBiQlJaXVbYg8kmeLBTNndnfq1S2NxWLw/eIdXL58k+zZfZk8qR1du9TFxcXJ3mGKiIiIiIiIiIiIiMi/pJutIE0mE8uWLaNx48ZA8mq1nDlz0rNnTwYMGAAkr07Lnj07Y8aMoWPHjkRERBAYGMi8efNo0aIFAJcvXyZ37tysXr2aOnXqpGpsLQUVe1m3/iDTpq+nbNln6Pl+Azw9s9g7JBEREREREREREZFMQ/P/Ym3pdlnMmTNnuHr1KrVr1055zNXVlSpVqrBz5046duzI/v37SUxMvKtNzpw5KVGiBDt37rxvYS0+Pp74+PiUzyMjI213IyIPUKd2KerULmXvMEREREREREREREREJBXsuhXkg1y9ehWA7Nmz3/V49uzZU567evUqLi4uZM2a9b5t7mXUqFH4+PikfOTOndvK0YuIiIiIiIiIiIiIiEhmk24La3eYTKa7PjcM4z+P/dvD2gwaNIiIiIiUjwsXLlglVhEREREREREREREREcm80m1hLSgoCOA/K8+uX7+esootKCiIhIQEwsPD79vmXlxdXfH29r7rQ0RERERERERERERERORB0m1hLX/+/AQFBbFhw4aUxxISEtiyZQuVKlUCoGzZsjg7O9/V5sqVKxw9ejSljYiIiIiIiIiIiIiIiIg1ONlz8OjoaE6dOpXy+ZkzZzh48CB+fn7kyZOHnj17MnLkSAoVKkShQoUYOXIk7u7utGrVCgAfHx/atWtHnz598Pf3x8/Pj759+1KyZElq1qxpr9sSERERERERERERERGRTMiuhbV9+/ZRrVq1lM979+4NwDvvvMOcOXPo378/sbGxdOnShfDwcCpUqMD69evx8vJKuWb8+PE4OTnRvHlzYmNjqVGjBnPmzMHR0THN70dEREREREREREREREQyL5NhGIa9g7C3yMhIfHx8iIiI0HlrIiIiIiIiIiIiIiKZhOb/xdrS7RlrIiIiIiIiIiIiIiIiIumJCmsiIiIiIiIiIiIiIiIiqWDXM9bSizu7YUZGRto5EhERERERERERERERsZY78/46FUusRYU1ICoqCoDcuXPbORIREREREREREREREbG2qKgofHx87B2GZAImQ2VaLBYLly9fxsvLC5PJZO9wRB5LZGQkuXPn5sKFCzqEU8TKlF8itqP8ErEd5ZeIbSnHRGxH+SViO09jfhmGQVRUFDlz5sTBQadjyZPTijXAwcGB4OBge4chYhXe3t5PzYuiSFpTfonYjvJLxHaUXyK2pRwTsR3ll4jtPG35pZVqYk0qz4qIiIiIiIiIiIiIiIikggprIiIiIiIiIiIiIiIiIqmgwppIJuHq6spHH32Eq6urvUMRyXSUXyK2o/wSsR3ll4htKcdEbEf5JWI7yi+RJ2cyDMOwdxAiIiIiIiIiIiIiIiIi6Z1WrImIiIiIiIiIiIiIiIikggprIiIiIiIiIiIiIiIiIqmgwpqIiIiIiIiIiIiIiIhIKqiwJiIiIiIiIiIiIiIiIpIKKqyJiIiIiIiIiIiIiIiIpIIKayIiIiIiIiIiIiIiIiKpoMKayFPMMAx7hyAiIpIqcXFx9g5BJNO6ePEiV65cAfTzoYgtmM3mlL8rx0RsR/klIiJpxWToVUfkqZCQkMD48ePx8PCgZMmSVKlSxd4hiWQaiYmJzJ8/H19fX4oVK0bRokXtHZJIpnDnx9T333+fP/74gyVLluDn52fnqEQyj8TERLp168aaNWvo1q0b/fv3t3dIIplKQkICH374ITdv3iRHjhwMHDgQNzc3e4clkilojkPEdjTHIfJwWrEm8hRYs2YNOXPmZPny5cyePZsmTZowZMgQvftfxAqmT59O9uzZmTVrFj179qRp06YsXrwYAIvFYufoRDI2k8nErVu3+OGHH/j1119TcktEntyFCxeoXLkyR44cYcmSJbRs2RLDMPRufxErWb58OXnz5mXPnj1kyZKFzz77jA4dOijPRKxAcxwitqM5DpHUUWFN5Ckwe/ZsmjVrxq5du/jll1+YMWMGn3/+OdOmTSM2Ntbe4YlkSGazmQkTJvDVV18xefJktm3bxooVK6hRowZjx47FYrHg4KCXWZEndezYMWrUqMGwYcMYPHgwFy5csHdIIpnC+vXr8fHxYceOHVSoUAGTyYTZbMZkMtk7NJEMLz4+nhkzZtC2bVs2bdrEpEmTWLhwIUuXLiU+Pl55JvKENMchYn2a4xB5NMoGkUzozjsgDcPgzJkz7Ny5k5deegmArFmz0qxZMzp06MD8+fPZvn27PUMVyXDu5Fd8fDzR0dE0a9aMN954A4DnnnuO4sWL4+TkxI0bN+wZpkiGdCe/LBZLyt+dnZ05deoUvXr1wsvLi1GjRtkzRJEM605OJSUlAbBv3z5CQkK4desWzZs3p1atWpQvX54OHTpw9epVe4YqkiH9cxXakSNH2Lx5MzVq1Eh57OrVq3To0EHv9hd5DHdeuwDNcYhY2Z380hyHyKNRYU0kkxk0aBBffvklkLyFVr58+TCbzURGRgKkvHvro48+4vbt26xZs4bo6Gi7xSuSkfwzvzw8PHjzzTf58MMPcXBwSJlMyZo1K9HR0WTLls2eoYpkOP/MLwcHh5R38+/bt49ChQrh5eXFJ598wsyZM9m3bx/Tpk3j9OnT9gxZJMP4Z345OjoCyatBASZMmADA5MmT6dSpEytWrOCjjz7i0qVLANqyTiQV/pljAM8//zz+/v5MnjyZNWvW0K9fP7p06cKmTZsoVKgQU6dOTZmgVI6JPNjQoUMZOnRoyuea4xCxnqFDhzJkyBBAcxwij0qFNZFMYtq0aXh5ebFu3Tpq1aqV8rjFYqFJkyZMmzYNADc3NxITE/H396dNmzb88MMPmM1me4UtkiHcL7/y588PJOfZnSLA2rVrKV26NCaTicTERLvEK5KRPOj1646sWbMC8NZbb5EvXz7Kly/PggUL0jxWkYzmXvl1513JTZo0YcKECSxatIj+/ftTo0YNOnbsyKhRo9ixYwcHDhwA0JZ1Ig9wrxy7MxG5YMECcuTIwbBhw1i+fDkbNmxgyZIldOnShfHjx7NmzRpAOSZyPz/99BNBQUFs2LCBXLlyER4eDmiOQ8Qa/plfwcHB3Lx5E9Ach8ijUGFNJIM7deoUFSpUYMCAAXz99df8/vvvFCtWLOV5R0dHatasSUJCAhMnTgT+f7KyXbt2hIaGcvToUbvELpLePSy/IHnyxMHBgaSkJMxmM4cOHUrZlsTZ2Tmlnbb9Ebnbw/Lrzv79f/31F88++ywnT56kRIkS3LhxA5PJRKdOnShQoIC9whdJ1x6UX3dWrFWpUoXnnnuOhIQEcubMmXJtmzZtuHXrFhcvXrRL7CIZwYNy7M5E5Msvv8zEiRPx9fVl6NChVK9encKFCzN48GBcXFw4fvy4PW9BJF27ffs2M2fOpGvXruzevZuuXbumvNHK0dGRWrVqER8frzkOkcdwr/zy8/O7q43mOEQeToU1kQxu7969nDp1ihEjRvDGG29w69YtFixYwLZt2zhx4gQAL774IrVr1+aLL77g8uXLuLq6AnDgwAECAwPx8vKy5y2IpFsPyq9Tp04B/z954ujoSGhoKNevX6dKlSoAHDx4kDZt2gDokF+Rf0lNfpnNZhwdHenRowfFixfn5Zdf5uTJk7Rv356PPvqIsLAwO9+FSPr0oPw6efIkAIULF6ZVq1ZcuHCBHTt2pFx748YN/Pz89POhyAOk5jUMkvNp7969VK1aFUheMRoREYGbmxseHh52il4k/du8eTO7d+9m8ODBhIeHM3DgQMaMGZOyY0GNGjU0xyHymO6XXwsXLkxZdW0YhuY4RB7CZGhDb5EM78033yQyMpIcOXKwdu1acuXKxenTp3FycmLevHnUqFGDP//8k/bt23P79m369u1LhQoVGDp0KKGhofz000+4u7vb+zZE0qUH5deCBQuoUqVKyg+U8+fPZ8aMGaxatYqePXsyb9486tevz9KlSzGZTNrqR+RfHpRf8+fPp3r16kybNo1Dhw7x3nvvUbZsWQAuXrxI4cKFWbVqFdWqVbPzXYikT6nJr4iICN5991327dtH27Ztady4MZMnT+b3339n1apV5MiRw963IZJuPexnxJdffpmYmBhefvllcuTIwejRo/Hx8WHEiBHs3LmTJUuWULx4cXvfhki6YhgGJpOJWbNmsWLFCrp160b79u0pXLgwrq6urFq1is6dO/Pxxx8TERFBq1atiI2N1RyHSCqkJr+6dOnCwIEDU3Yz0ByHyP2psCaSgSxZsoT169dTokQJqlevTsmSJYHkd5u0a9eOoKAg+vXrR4UKFYiJiWHo0KHs3buXFStWULRoUa5du0abNm04d+4ckZGR5MuXj/nz55MvXz773phIOvA4+bV//36WLl2aMinSsmVLlixZgru7O0WKFGHevHkULVrUnrclki48Tn7t2bOHtWvXUqBAASwWS8r2dXdERETg4+Njj9sRSVce9+fD5cuXU7x4cRITE+nbty87duwgOjqaoKAgZs6cqa1WRf7ncXJs3759/PzzzxQtWpRt27bRrFkzfH19iYmJoVChQsyYMYOCBQva+c5E7O9++bVo0SI6derEm2++SUBAAEOGDMHZ2Zm5c+cydepUXn/9dfr06aM5DpEHeJz8mjZtGk2aNKF///6A5jhEHsgQkXQvNDTUaNasmREUFGR06tTJePHFF42cOXMac+bMSWkzbdo0Y9OmTXddFx8fb3h4eBhff/11ymNxcXHGlStXjCNHjqRZ/CLp2ZPm1zfffGMYhmGYzWajZcuWRr58+YxVq1al6T2IpFfWyq+kpKQ0jVskI7BWft0RHR1tnDp1Kk1iF8kIrPk72Pnz5409e/YYe/bsSbP4RdKzh+WXxWIxSpQoYZhMJmP27Nkp11ksFqNp06ZGu3btjPj4eMMwNMch8m9Pml/vvfeekZiYaFgsFs1xiDyAk70LeyLycL/++ivnz59n37595MqVC4DGjRszfPhwPD09adq0Ka1bt8bNzS3lGsMwcHBwIEeOHBw7dizlcVdXV4KCgggKCkrz+xBJj540v+4cjO3o6Mjw4cMpVKiQXe5DJD2yVn5p/36R/7JWft3h4eGhVWoi/2DN38Fy585N7ty50/weRNKrB+WXj48PjRs3pkuXLnTt2pWYmBjMZjNOTk6YTCa8vLz4448/cHFxAcDFxUVzHCL/8KT5dfToUZyckksGmuMQuT/NUohkAN999x3BwcHkypWL6OhoAJo0acLZs2eZOnUqoaGhuLm5pRwyCmAymdiyZQvOzs68/fbb9gpdJN2zZn7pB06Ru+n1S8R2lF8itqUcE7GdB+XX5MmTCQsLo2PHjtSqVYsvv/ySTZs2AXD16lUuX75M27ZtU/rSGU8id3vS/GrXrl1KX5rjELk/FdZE0pmtW7eybt06zGZzymOFChVKecejp6cnAH/99RfVq1cnLi6OZcuWAck/UF65coWTJ08ybdo02rZtS/Xq1SlSpMhdv/CJPK2UXyK2o/wSsR3ll4htKcdEbOdR8ys2NpalS5fi4ODAggULyJYtG61ataJ+/fqUKlWKxMREXnnlFbvci0h6o/wSsSM7bD8pIvdw48YNo3Xr1obJZDJCQkKMM2fOpDx3+vRpIzAw0KhSpYoxZswYo2LFikb+/PmNjRs3GiEhIcbQoUMNwzCM2NhYY+7cuUahQoWM/PnzG/PmzbPT3YikL8ovEdtRfonYjvJLxLaUYyK28yT5NWTIEMNsNhuGYRjXrl0z1q9fb3z22WfGsmXL7HMzIumM8kvE/rRiTSQdMJvNLFmyhGvXrrFw4UJOnjzJokWLiI+PB+CZZ55h2bJlFC5cmO+//56yZcuyZ88eqlevznPPPccff/wBQJYsWahXrx6ff/45f//9N2+99ZY9b0skXVB+idiO8kvEdpRfIralHBOxnSfNrz///BNHR0cAsmXLRq1atejbty+NGze2412JpA/KL5H0wcneAYgIODk5UaZMGXLnzk2DBg04fvw448aNo27dupQqVQqAypUrU7lyZRISElIO6b1+/ToHDhzgjTfeAMBisRAYGEijRo3sdSsi6Y7yS8R2lF8itqP8ErEt5ZiI7VgzvxwctCZA5J+UXyLpg7JHJJ0oX748DRo0AODDDz/E2dmZqVOnEhUVBZCyP7+LiwtxcXEkJiby448/4uzsnPJLnF4QRe5N+SViO8ovEdtRfonYlnJMxHaUXyK2o/wSsT9lkEg6YTKZAEhISABgwoQJzJo1i927d9/1/KVLl5g9ezaVKlViyJAh9OvXj5IlS9onaJEMQvklYjvKLxHbUX6J2JZyTMR2lF8itqP8ErE/k3GnhC0i6U6lSpXw8PBgwYIFZMuWjRs3bhAYGMjChQu5fPkyffr0sXeIIhmW8kvEdpRfIraj/BKxLeWYiO0ov0RsR/klkrZUWBNJh8xmM05OThw7doyQkBDGjRvH6dOn2b59O3PnzqVEiRL2DlEkw1J+idiO8kvEdpRfIralHBOxHeWXiO0ov0TsQ4U1kXSufPny7Nu3jzx58jB9+nTq1Klj75BEMg3ll4jtKL9EbEf5JWJbyjER21F+idiO8ksk7eiMNZF06vTp05QsWZJjx47x9ddfc/bsWb0giliJ8kvEdpRfIraj/BKxLeWYiO0ov0RsR/klkvZUWBNJpxwdHWnatCmhoaG0a9fO3uGIZCrKLxHbUX6J2I7yS8S2lGMitqP8ErEd5ZdI2tNWkCIiIiIiIiIiIiIiIiKpoBVrIiIiIiIiIiIiIiIiIqmgwpqIiIiIiIiIiIiIiIhIKqiwJiIiIiIiIiIiIiIiIpIKKqyJiIiIiIiIiIiIiIiIpIIKayIiIiIiIiIiIiIiIiKpoMKaiIiIiIiIiIiIiIiISCqosCYiIiIiIiIiIiIiIiKSCiqsiYiIiIhIujNs2DBKlSqV5uNu3rwZk8mEyWSicePGD2xbtWpVevbsmap+27Rpk9Lv8uXLnzhOERERERERsQ8V1kREREREJE3dKTDd76NNmzb07duXjRs32i3G48ePM2fOHKv1N3HiRK5cuWK1/kRERERERMQ+nOwdgIiIiIiIPF3+WWD6/vvv+fDDDzl+/HjKY25ubnh6euLp6WmP8ADIli0bvr6+VuvPx8cHHx8fq/UnIiIiIiIi9qEVayIiIiIikqaCgoJSPnx8fDCZTP957N9bQbZp04bGjRszcuRIsmfPjq+vL8OHD8dsNtOvXz/8/PwIDg5m1qxZd4116dIlWrRoQdasWfH39+fVV1/l7Nmzjxzz7du3ad26NZ6enuTIkYMvvvjiP22mTJlCoUKFyJIlC9mzZ6dZs2aPPI6IiIiIiIikbyqsiYiIiIhIhrBp0yYuX77M1q1bGTduHMOGDaNBgwZkzZqV3377jU6dOtGpUycuXLgAQExMDNWqVcPT05OtW7eyfft2PD09qVu3LgkJCY80dr9+/fj1119ZtmwZ69evZ/Pmzezfvz/l+X379vH+++/z8ccfc/z4cdauXcvLL79s1fsXERERERER+9NWkCIiIiIikiH4+fkxadIkHBwcKFKkCGPHjiUmJoYPPvgAgEGDBjF69Gh27NjBG2+8waJFi3BwcOCbb77BZDIBMHv2bHx9fdm8eTO1a9dO1bjR0dHMnDmTb7/9llq1agEwd+5cgoODU9qcP38eDw8PGjRogJeXF3nz5qV06dJW/gqIiIiIiIiIvamwJiIiIiIiGULx4sVxcPj/TTeyZ89OiRIlUj53dHTE39+f69evA7B//35OnTqFl5fXXf3ExcVx+vTpVI97+vRpEhISqFixYspjfn5+FClSJOXzWrVqkTdvXp555hnq1q1L3bp1adKkCe7u7o98nyIiIiIiIpJ+qbAmIiIiIiIZgrOz812fm0ymez5msVgAsFgslC1blgULFvynr8DAwFSPaxjGQ9t4eXnx+++/s3nzZtavX8+HH37IsGHD2Lt3L76+vqkeS0RERERERNI3nbEmIiIiIiKZUpkyZTh58iTZsmWjYMGCd334+Pikup+CBQvi7OzM7t27Ux4LDw/nxIkTd7VzcnKiZs2ajB07lsOHD3P27Fk2bdpktfsRERERERER+1NhTUREREREMqU333yTgIAAXn31VbZt28aZM2fYsmULPXr04OLFi6nux9PTk3bt2tGvXz82btzI0aNHadOmzV3bUq5cuZJJkyZx8OBBzp07x7fffovFYrlru0gRERERERHJ+LQVpIiIiIiIZEru7u5s3bqVAQMG8NprrxEVFUWuXLmoUaMG3t7ej9TXZ599RnR0NI0aNcLLy4s+ffoQERGR8ryvry9Lly5l2LBhxMXFUahQIRYuXEjx4sWtfVsiIiIiIiJiRyYjNQcGiIiIiIiIPAU2b95MtWrVCA8Pt8nZaCaTiWXLltG4cWOr9y0iIiIiIiK2p60gRURERERE/iU4OJiWLVtarb9OnTrh6elptf5ERERERETEPrRiTURERERE5H9iY2O5dOkSkHy2WlBQkFX6vX79OpGRkQDkyJEDDw8Pq/QrIiIiIiIiaUuFNREREREREREREREREZFU0FaQIiIiIiIiIiIiIiIiIqmgwpqIiIiIiIiIiIiIiIhIKqiwJiIiIiIiIiIiIiIiIpIKKqyJiIiIiIiIiIiIiIiIpIIKayIiIiIiIiIiIiIiIiKpoMKaiIiIiIiIiIiIiIiISCqosCYiIiIiIiIiIiIiIiKSCiqsiYiIiIiIiIiIiIiIiKTC/wHk7ZbqNa9FkgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1600x350 with 1 Axes>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nixtla_client.plot(df, timegpt_fcst_df, time_col='ds', target_col='y')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5962cd90",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:nixtla.nixtla_client:Validating inputs...\n",
      "INFO:nixtla.nixtla_client:Preprocessing dataframes...\n",
      "INFO:nixtla.nixtla_client:Querying model metadata...\n",
      "WARNING:nixtla.nixtla_client:The specified horizon \"h\" exceeds the model horizon, this may lead to less accurate forecasts. Please consider using a smaller horizon.\n",
      "INFO:nixtla.nixtla_client:Restricting input...\n",
      "INFO:nixtla.nixtla_client:Calling Forecast Endpoint...\n"
     ]
    },
    {
     "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>unique_id</th>\n",
       "      <th>ds</th>\n",
       "      <th>TimeGPT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>D1</td>\n",
       "      <td>1961-01-01</td>\n",
       "      <td>436.84340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>D1</td>\n",
       "      <td>1961-02-01</td>\n",
       "      <td>419.35153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>D1</td>\n",
       "      <td>1961-03-01</td>\n",
       "      <td>458.94315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>D1</td>\n",
       "      <td>1961-04-01</td>\n",
       "      <td>477.87607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>D1</td>\n",
       "      <td>1961-05-01</td>\n",
       "      <td>505.65692</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  unique_id         ds    TimeGPT\n",
       "0        D1 1961-01-01  436.84340\n",
       "1        D1 1961-02-01  419.35153\n",
       "2        D1 1961-03-01  458.94315\n",
       "3        D1 1961-04-01  477.87607\n",
       "4        D1 1961-05-01  505.65692"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "timegpt_fcst_df = nixtla_client.forecast(\n",
    "    df=df,\n",
    "    h=36,\n",
    "    freq='MS',\n",
    "    time_col='ds',\n",
    "    target_col='y',\n",
    "    model='timegpt-1-long-horizon'\n",
    ")\n",
    "timegpt_fcst_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5c15458e",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x350 with 1 Axes>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nixtla_client.plot(df, timegpt_fcst_df, time_col='ds', target_col='y')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "82f8a4c8",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:nixtla.nixtla_client:Validating inputs...\n",
      "INFO:nixtla.nixtla_client:Preprocessing dataframes...\n",
      "INFO:nixtla.nixtla_client:Restricting input...\n",
      "INFO:nixtla.nixtla_client:Calling Forecast Endpoint...\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x350 with 1 Axes>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "timegpt_fcst_df = nixtla_client.forecast(\n",
    "    df=df,\n",
    "    h=6,\n",
    "    freq='MS',\n",
    "    time_col='ds',\n",
    "    target_col='y'\n",
    ")\n",
    "nixtla_client.plot(df, timegpt_fcst_df, time_col='ds', target_col='y')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ea32107-c1a9-4c46-b94e-1697dd9db0f7",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "## Calculates various features from time series data\n",
    "\n",
    "- This part does not require an API.\n",
    "- It is calculated via the `tsfeatures` package."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "3f795f9f-a32b-42ad-b28f-6f681c44fd10",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Defaulting to user installation because normal site-packages is not writeable\n",
      "\u001b[33mWARNING: Skipping /usr/lib/python3.12/dist-packages/charset_normalizer-3.3.2.dist-info due to invalid metadata entry 'name'\u001b[0m\u001b[33m\n",
      "\u001b[0mLooking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n",
      "Collecting tsfeatures\n",
      "  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/79/61/ba5bcaae1212907bb22508cc87fd59011037374fb0d825fb0a67ea0fe62c/tsfeatures-0.4.5-py3-none-any.whl (28 kB)\n",
      "Collecting antropy>=0.1.4 (from tsfeatures)\n",
      "  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/9c/d0/45190403c56c3cd0c2784d5e4bc0def9e8301787b59113d15afd1337e654/antropy-0.1.9-py3-none-any.whl (18 kB)\n",
      "Collecting arch>=4.11 (from tsfeatures)\n",
      "  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/09/05/14d9b2773fea75d87e9e55a85f531ed615538eddf18a4b3cad4e34e2f12d/arch-7.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (978 kB)\n",
      "Requirement already satisfied: pandas>=1.0.5 in /usr/lib/python3/dist-packages (from tsfeatures) (2.1.4+dfsg)\n",
      "Collecting scikit-learn>=0.23.1 (from tsfeatures)\n",
      "  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/f3/1b/998312db6d361ded1dd56b457ada371a8d8d77ca2195a7d18fd8a1736f21/scikit_learn-1.7.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (9.5 MB)\n",
      "Requirement already satisfied: statsmodels>=0.13.2 in /usr/lib/python3/dist-packages (from tsfeatures) (0.14.1+dfsg)\n",
      "Collecting supersmoother>=0.4 (from tsfeatures)\n",
      "  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/73/d7/44f69557f2685e80ef7d558b605b080cbb9ae9500c154e4105dbdddb017e/supersmoother-0.4.tar.gz (233 kB)\n",
      "\u001b[2K     \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m233.8/233.8 kB\u001b[0m \u001b[31m5.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m[31m6.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\n",
      "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25ldone\n",
      "\u001b[?25hRequirement already satisfied: numpy in /usr/lib/python3/dist-packages (from antropy>=0.1.4->tsfeatures) (1.26.4)\n",
      "Requirement already satisfied: scipy in /usr/lib/python3/dist-packages (from antropy>=0.1.4->tsfeatures) (1.11.4)\n",
      "Collecting numba>=0.57 (from antropy>=0.1.4->tsfeatures)\n",
      "  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/9a/2d/e518df036feab381c23a624dac47f8445ac55686ec7f11083655eb707da3/numba-0.61.2-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (3.9 MB)\n",
      "Collecting joblib>=1.2.0 (from scikit-learn>=0.23.1->tsfeatures)\n",
      "  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/1e/e8/685f47e0d754320684db4425a0967f7d3fa70126bffd76110b7009a0090f/joblib-1.5.2-py3-none-any.whl (308 kB)\n",
      "\u001b[2K     \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m308.4/308.4 kB\u001b[0m \u001b[31m9.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25hCollecting threadpoolctl>=3.1.0 (from scikit-learn>=0.23.1->tsfeatures)\n",
      "  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/32/d5/f9a850d79b0851d1d4ef6456097579a9005b31fea68726a4ae5f2d82ddd9/threadpoolctl-3.6.0-py3-none-any.whl (18 kB)\n",
      "Collecting llvmlite<0.45,>=0.44.0dev0 (from numba>=0.57->antropy>=0.1.4->tsfeatures)\n",
      "  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/cb/da/8341fd3056419441286c8e26bf436923021005ece0bff5f41906476ae514/llvmlite-0.44.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (42.4 MB)\n",
      "Building wheels for collected packages: supersmoother\n",
      "  Building wheel for supersmoother (setup.py) ... \u001b[?25ldone\n",
      "\u001b[?25h  Created wheel for supersmoother: filename=supersmoother-0.4-py3-none-any.whl size=16145 sha256=0d10164bd39bea6f9fcc7307fdba6cd4fedfda7f9b7d56a0450dfd4e5b0a26f6\n",
      "  Stored in directory: /home/fli/.cache/pip/wheels/33/d2/06/af28090f0f6bcaefe8b36c909a83568e359b889f78839ba70e\n",
      "Successfully built supersmoother\n",
      "\u001b[33mWARNING: Skipping /usr/lib/python3.12/dist-packages/charset_normalizer-3.3.2.dist-info due to invalid metadata entry 'name'\u001b[0m\u001b[33m\n",
      "\u001b[0mInstalling collected packages: supersmoother, threadpoolctl, llvmlite, joblib, scikit-learn, numba, arch, antropy, tsfeatures\n",
      "Successfully installed antropy-0.1.9 arch-7.2.0 joblib-1.5.2 llvmlite-0.44.0 numba-0.61.2 scikit-learn-1.7.1 supersmoother-0.4 threadpoolctl-3.6.0 tsfeatures-0.4.5\n"
     ]
    }
   ],
   "source": [
    "! pip install tsfeatures --break-system-packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f1d14fbe",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from tsfeatures import tsfeatures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "1ed5df2a-9c71-4e22-82af-e03c88deacff",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [
    {
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       "  unique_id     hurst  series_length  unitroot_pp  unitroot_kpss  hw_alpha  \\\n",
       "0        D1  1.039864            144    -6.565597       2.739474       NaN   \n",
       "\n",
       "   hw_beta  hw_gamma  stability  nperiods  ...  flat_spots   entropy  \\\n",
       "0      NaN       NaN   0.882625         0  ...          18  0.428737   \n",
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       "   crossing_points   arch_lm    x_acf1   x_acf10  diff1_acf1  diff1_acf10  \\\n",
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       "[1 rows x 38 columns]"
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     },
     "execution_count": 14,
     "metadata": {},
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   ],
   "source": [
    "feat = tsfeatures(df, freq=1)\n",
    "feat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "ca75046d-f1aa-4a36-b28a-2c5615e37430",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [
    {
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       "      <th>curvature</th>\n",
       "      <td>0.760306</td>\n",
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       "      <th>e_acf1</th>\n",
       "      <td>0.619439</td>\n",
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       "    <tr>\n",
       "      <th>e_acf10</th>\n",
       "      <td>1.133758</td>\n",
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       "    <tr>\n",
       "      <th>x_pacf5</th>\n",
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       "      <th>diff2x_pacf5</th>\n",
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       "      <th>nonlinearity</th>\n",
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       "      <th>lumpiness</th>\n",
       "      <td>0.026838</td>\n",
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       "      <th>alpha</th>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beta</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>arch_acf</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>garch_acf</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>arch_r2</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>garch_r2</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>flat_spots</th>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>entropy</th>\n",
       "      <td>0.428737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>crossing_points</th>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>arch_lm</th>\n",
       "      <td>0.917195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>x_acf1</th>\n",
       "      <td>0.948047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>x_acf10</th>\n",
       "      <td>5.670087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>diff1_acf1</th>\n",
       "      <td>0.302855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>diff1_acf10</th>\n",
       "      <td>0.408838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>diff2_acf1</th>\n",
       "      <td>-0.191006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>diff2_acf10</th>\n",
       "      <td>0.25078</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         0\n",
       "unique_id               D1\n",
       "hurst             1.039864\n",
       "series_length          144\n",
       "unitroot_pp      -6.565597\n",
       "unitroot_kpss     2.739474\n",
       "hw_alpha               NaN\n",
       "hw_beta                NaN\n",
       "hw_gamma               NaN\n",
       "stability         0.882625\n",
       "nperiods                 0\n",
       "seasonal_period          1\n",
       "trend             0.911575\n",
       "spike             0.000001\n",
       "linearity        10.741923\n",
       "curvature         0.760306\n",
       "e_acf1            0.619439\n",
       "e_acf10           1.133758\n",
       "x_pacf5           0.967097\n",
       "diff1x_pacf5      0.212245\n",
       "diff2x_pacf5      0.247661\n",
       "nonlinearity      0.423897\n",
       "lumpiness         0.026838\n",
       "alpha                  1.0\n",
       "beta                   0.0\n",
       "arch_acf               NaN\n",
       "garch_acf              NaN\n",
       "arch_r2                NaN\n",
       "garch_r2               NaN\n",
       "flat_spots              18\n",
       "entropy           0.428737\n",
       "crossing_points          7\n",
       "arch_lm           0.917195\n",
       "x_acf1            0.948047\n",
       "x_acf10           5.670087\n",
       "diff1_acf1        0.302855\n",
       "diff1_acf10       0.408838\n",
       "diff2_acf1       -0.191006\n",
       "diff2_acf10        0.25078"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "feat.T"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dbf6be39-6b24-4e7d-91c9-6c281cf97fbc",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "## Forecasting is easy and fun!"
   ]
  }
 ],
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