Examples.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "32866ec8-c06a-478f-8697-563b1915ca2d",
   "metadata": {},
   "source": [
    "# Precipitation script examples\n",
    "\n",
    "Following a series of plots that you can generate through `plot_precipitation.py` script\n",
    "\n",
    "### Import modules:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5aaa7a0f",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import sys\n",
    "from precip.cli import plot_precipitation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c2c34876-6f0f-41e6-89ea-2b896e893c29",
   "metadata": {},
   "source": [
    "# Bar plot over a volcano\n",
    "\n",
    "The following will plot precipitation over Merapi volcano for a brief period, from **01 January 2006** to **01 January 2007**, during this period an eruption occured (2006-03-16).\n",
    "We are applying a rolling average of 30 days and splitting the data in 3 different colors, grouped by ascending values.\n",
    "\n",
    "*Note: if no period is selected, the starting date will be set to **2000 June 01** and the ending date (at the current state 2024/07/02) will be set to **2024 June 01** (check Help for updates).\n",
    "Please also note that when using a n-day rolling average, any eruptions occurring within the first or last n-1 days will not be plotted due to the nature of rolling averages."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8d11b051",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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2dm1tbfF7FxsbC0EQFP5e+JgZrqV4/fp1vr+Xsrx48QIA4Ovrm+u9MWbMGAAo0p+t4mJmZqbwd23WB6aKenyzXLp0Cb/++isWL16M5ORkxMXFIS4uDpmZmUhPT0dcXFyue/tzUuX7Ny98TYjoU2FPN1EZMnToUMyaNQurV6/GvHnz8qxnbm4OMzMzBAcHK9yfc0i6ok/79+7di3fv3mH37t1yPa55rZub9Y9rdlkTFin6Bz0/a9asQUJCgrhtbm4u6XhFNm3ahMGDB2P+/Ply5a9evVJ6tm0pdHR0ACDXP2U5/3nPem0UTe4UHR0tNxTX3Nwcurq6cvf2Z1cUr1MWGxsbXL58Wa4s+1D3LH/++SdSU1OLZAK1rNENygyJFwShUKMf6tevn+u6bGxsctULCAgAgCK7ruKYJKoomZmZ4eLFixAEQe71j4mJQXp6uuT3lomJCWQyWb6/FwpLR0cH8fHxucoV/WxdunSpwPNnXdu0adMU3r8OKH7vlzQuLi5yE0NmySrLb5bvu3fvQhAEhSMsnj59ChMTEyxfvhw+Pj55xsj6+VXF+zcvfE2I6FNh0k1Uhtja2uK7777DP//8gyFDhuRZz8vLC0FBQcjIyJAbAi5F1j/e2Xv5BEHIdS9kloSEBOzfv19uKOeWLVugpqYmdy+1MorjH1yZTJarx/LQoUN49uwZqlSpIpZl1VG29zt77152WclyWFiY3PXs379frl6TJk2go6ODzZs3ixPYAcC5c+fw+PFjuaTby8sL8+fPh5mZmaSJvQpDS0tLqWWvAgICYGNjIw5rL6zY2FgcPHgQdevWFT+wyMvOnTvx/v37Qt3ra2BgUOB1paSkYNOmTWjUqFG+/5QrIzw8HH///Tfatm1bYN2sCcZUsaxemzZtsH37duzdu1cuydi4caO4X4py5cqhQYMG2Lt3L5YsWSIOMU9MTFQ4y3lO+f0cOjg4YMeOHUhJSRHrvX79GufOnZNbUvGLL77A9u3bFf5eyq5atWpwcnLCzZs3c30oV5p069YNY8aMwcWLF8Xf++np6di0aRMaN26s8MOlLB06dEBISEiu8r59+8LR0RELFiyQ+z2pSNZ7pSQtC8nXhIg+FSbdRGXMwoULC6zTt29fbN68GR07dsSECRPQqFEjaGpqIjIyEiEhIejSpUuB94y2a9cOWlpa6NevHyZPnozk5GT89ttviI2NVVjfzMwMo0ePxpMnT1C1alUcPnwYa9euxejRoz/JJGoZGRnYuXNnrvJy5crB09MTXl5eCAwMRPXq1VG7dm1cvXoVP/30U671pitXrgxdXV1s3rwZNWrUgL6+PmxsbPL858zFxQVBQUHYtm0bKlWqBB0dHbi4uKBhw4aoVq0afH19kZ6eDhMTE+zZsyfXDN0mJibw9fXFjz/+iK+++gq9evXC06dP4efnl2sYrI+PD3bt2oVWrVrh22+/Re3atZGZmYknT57g6NGjmDRpkviP5Q8//IAffvgBJ06ckDSjuBQXL17EnTt38P333+c5q6+idvTv3x8VK1ZEgwYNYG5ujgcPHmDp0qV48eKF3L2+jx8/Rv/+/dG3b19UqVIFMpkMoaGhWLFiBWrVqpWrF9rd3R2hoaFy8wEUxt69e/HmzZt8e7lHjBiBDRs24NGjR+JIkLZt26JVq1aoXbu2OJHa4sWLIZPJMHfuXPHYM2fOYN68eejWrRsqVaqE5ORkHDlyBL///jtat26NL7/8Uql2njp1Cl988QVmz56t1DJ8jx49UvgzUrNmTQwePBirVq3CkCFDEBERARcXF5w9exbz589Hx44dlfrQIKcffvgBnTp1Qvv27TFhwgRkZGTgp59+gr6+foGzz+f3czho0CCsWbMGAwcOxMiRI/H69WssXrxYLuEGgMGDB2P58uUYPHgw5s2bBycnJxw+fBh//fVXrvOtWbMGnp6eaN++PYYOHQpbW1u8efMG9+7dw7Vr17Bjxw6xblai9TH3dr98+VK8XSOr1/XIkSMoX748ypcvL/cze+XKFfEWiLdv30IQBPH72LBhQ/H9N3z4cKxatQq9evXCwoULYWFhgV9//RX379/H8ePH5c7fpk0bhIaGivevW1lZKbw9REdHB2ZmZnJLtG3ZsgW7d+9Gp06dYG9vj7i4OOzYsQNBQUEYOnRorgnHZDIZ3NzcClxJ4XN6TYioDBKIqNRav369AEC4fPlyvvVq1aoluLm5yZWlpaUJS5YsEerUqSPo6OgI+vr6QvXq1YVvvvlGePDggVjP3t5e6NSpk8K4Bw4cEI+3tbUVvvvuO+HIkSMCACEkJESs5+bmJtSqVUs4deqU0KBBA0FbW1uwtrYWvv/+eyEtLU0uJgBh9uzZkl6HggwZMkQAoPBhb28vCIIgxMbGCiNGjBAsLCwEPT09oUWLFsKZM2cENze3XK/d1q1bherVqwuamppy7Z09e7aQ89dqRESE4OHhIRgYGMidTxAE4d9//xU8PDwEQ0NDoXz58sL48eOFQ4cO5Xr9MjMzhQULFggVKlQQtLS0hNq1awsHDhxQ2LbExERhxowZQrVq1QQtLS3ByMhIcHFxEb799lshOjparJfV1uznUSQ8PFwAIKxfv16JV1reyJEjBZlMJjx69CjPOorasWDBAqFu3bqCkZGRoK6uLpQvX17o1q2bcOnSJblj37x5I3Tr1k1wcHAQdHV1BS0tLcHJyUmYPHmyEBcXl+tc9evXF6ysrCRfR07t2rUTypUrJ7x9+zbPOlnvufDwcLHMx8dHqFmzpmBgYCBoaGgINjY2wsCBA4X79+/LHfvgwQOhY8eOgq2traCtrS3o6OgILi4uwrx584Tk5GSF5wsJCREACDt27BDLDhw4IAAQVq9eXeA15fXzkf39/fr1a2HUqFGCtbW1oKGhIdjb2wvTpk3L1SYAwtixY3Odw97eXhgyZIhc2Z49ewQXFxdBS0tLqFixorBw4ULB29tbMDExKfDYvH4OBUEQNmzYINSoUUPQ0dERatasKWzbtk0YMmSI3M+fIAhCZGSk0KNHD0FfX18wMDAQevToIZw7d07he/7mzZtC7969BQsLC0FTU1OwsrISWrdunev1tbe3z3UeRRT9vsiS9f1U9Mj5M5/f77ec1xAdHS0MHjxYMDU1FXR0dIQmTZoIx44dy3V+Nze3PNuW81pz/n04f/680KZNG8HKykrQ1NQU9PT0hIYNGwq//vqrkJGRIVc3ISFBACD07du3wHN9Lq9JFmX/vhNR6SAThI/8yJ+IqADu7u549epVnusRU8kVEREBR0dHBAQEYPDgwZ9smbGilpCQAFNTU6xYsQJjx45VdXOKVHp6OkJDQ9G2bVvs2LFDnGF88uTJ2Lp1Kx48eFDgkPySIi0tDXXr1oWtrS2OHj2q6uYUKz8/P8yZMwdpaWmQyWQFrvFcFh0+fBheXl64efMmXFxcVN2cEkH43woKGzduxIgRI3D58mWlbuUhopKNMzcQEVGBRowYAU1NTezatUvVTSmU06dPw9bWFiNHjlR1U4rUjRs3oKmpqXB4d0hICGbOnFmiE+4RI0YgKCgIoaGh2LZtGzw8PHDv3j1MnjxZ1U37ZDQ1NWFkZKTqZqhESEgI+vbty4Q7m3379kFTUxMjRoxQdVOIqAixp5uIih17ukuv1NRUhIWFiduVK1eGiYmJCltE2SUlJeHOnTvidmn7/vTu3Rvnzp3Dy5cvoampiXr16uH777+XW8+8rHr+/DmeP38O4MMa91ynmQAgLi5Obj6AmjVrQk9PT4UtIqKiwKSbiIiIiIiIqJhweDkRERERERFRMWHSTURERERERFRMmHQTERERERERFRMNVTegJEhPT8f169dhaWkJNTV+DkFERERERFQYmZmZePHiBVxdXaGhwXQTYNINALh+/ToaNWqk6mYQERERERGVCZcuXULDhg1V3YwSgUk3AEtLSwAf3hjW1tYqbg2VVo8fP8b8+fPx/fffw97eXtXNISIiIiL65KKiotCoUSMxxyIm3QAgDim3traGnZ2diltDpVVMTAwOHz6MuXPn8n1ERERERJ813rb7//hKEBERERERERUTJt1ERERERERExYTDy5WQkZGBtLQ0VTeDSjhBEGBvbw9BEJCcnKzq5hRIU1MT6urqqm4GEREREVGZxqS7AImJiYiMjIQgCKpuCpVwGhoaWL16NTQ0NBAeHq7q5hRIJpPBzs4O+vr6qm4KEREREVGZxaQ7HxkZGYiMjISenh7Kly8PmUym6iZRCfb+/XukpaWhQoUK0NPTU3Vz8iUIAl6+fInIyEg4OTmxx5uIiIiIqJgw6c5HWloaBEFA+fLloaurq+rmUAmXkZEBANDW1oaOjo6KW1Ow8uXLIyIiAmlpaUy6iYiIiIiKCSdSUwJ7uKks4vuaiIiIiKj4MekmIiIiIiIiKiZMuknk6emJXbt2AQD8/PwwatQoFbeIiIiIiIiodOM93RIJGc+BzNjiCa5mApm6jVJVHRwcEBQUhCZNmhTqVIGBgQgKCkJwcLBYduTIkULFyu706dOYMWMGrl69ipYtW8rFJyIiIiIi+tww6ZZAyHgO4aUHgNRiOoMWUP6o0ol3YRXnmuN6enoYNWoU/vvvP5w9e7bYzlMSqampQUdHB2pqHEBCREREREQfMDuQIjMWxZdw40NsJXrRv/rqKzx58gStW7eGvr4+tm3bBgDYuXMnatWqBVNTU3Tu3BkxMTEAgFOnTqF69eqYPn06zM3NMX/+fIwaNQrHjx+Hvr4+6tSpAwBwd3dHUFCQwnPmFTunBg0aoH///rCzsyvMC1Cq6erqwtnZmTPdExERERGRiEl3KfTHH3+gYsWKOHnyJBITE9GnTx9cunQJEydOxLZt2/DixQtUr14do0ePFo95+PAh9PT0EBUVhSlTpmD16tVo27YtEhMTcfPmzXzPV1BsIiIiIiIiUozDy8uIdevWYdy4cXB2dgYAzJo1CyYmJkhPTwfwYdj31KlToa6uDk1NzSKLraHBtxAREREREVFe2NNdRjx58gRz5syBsbExjI2NYWdnBw0NDURHRwMArK2toa6uXiyxiYiIiIiISDEm3aWUTCaT27a1tcWCBQsQFxcnPpKSksR7q3PWz7mdn4JiExERERERkWJMukspCwsLREREiNvDhw+Hv78/wsLCAABv3rzBvn378j0+MjISGRkZBZ5LSuzMzEwkJycjLS1N7jkREREREdHniEl3KTVlyhT4+vrC2NgY27dvR9OmTbFo0SIMGjQIhoaGqFevHv7+++88j2/dujXs7Oxgbm6OevXq5XsuKbFPnz4NXV1dfP311zh27Bh0dXUxcuTIj7pWIiIiIiKi0komCIKg6kaoWmRkJCpUqICnT5/KDZlOTk5GeHg4HB0doaOj80nW6ZYpWKc7LEa5e6drW1gVR6OojMr5/iYiIiIi1UpJSVH4PDttbW25ryVNXrnV54xTT0sgU7cByh9Vai3tQlEzyZVwU+mRlJSER48eoXLlylyrm4iIiIiIADDplkymbgMwMSYFsu5hz8zMVHVTiIiIiKgUyerVzt67nZr6/6NrtbS0PnmbqOjwnm4iIiIiIiIVSElJkXukpqbKPT4Hp0+fxpdffgkbGxvIZDLs3btXbr9MJlP4+Omnn8Q67u7uufb37dtXLk5sbCwGDRoEIyMjGBkZYdCgQYiLi/sEV8ikm4iIiIiIiFTk3bt3qFOnDlauXKlwf1RUlNxj3bp1kMlk6NGjh1y9kSNHytVbs2aN3P7+/fvjxo0bCA4ORnBwMG7cuIFBgwYV23Vlx+HlREREREREpBKenp7w9PTMc7+Vlfxk0fv27cMXX3yBSpUqyZXr6enlqpvl3r17CA4OxoULF9C4cWMAwNq1a9G0aVPcv38f1apV+8iryB97usuQsJho8UFERERERKQqCQkJePv2rfjIazZ2KV68eIFDhw5hxIgRufZt3rwZ5ubmqFWrFnx9fZGQkCDuO3/+PIyMjMSEGwCaNGkCIyMjnDt37qPbVRD2dBMREREREVGRqlmzptz27Nmz4efn91ExN2zYAAMDA3Tv3l2ufMCAAXB0dISVlRVu376NadOm4ebNmzh27BgAIDo6GhYWFrniWVhYIDq6+DssmXQTERERERF9IorW4s6aNC3ra1mYrfzu3buwtbUVt4tiXfF169ZhwIAB0NHRkSsfOXKk+NzZ2RlOTk5o0KABrl27hnr16gH4MCFbToIgKCwvaky6JXqbFoP36W+LJbaehiEMNXN/AvOpeHp64quvvkKPHj3g5+eH6OhorF69WmXtISIiIiKi0snAwACGhoZFFu/MmTO4f/8+tm3bVmDdevXqQVNTEw8ePEC9evVgZWWFFy9e5Kr38uVLWFpaFlkb88KkW4K3aTFY+/ArZAhpxRJfXaaJkVX+UCrx9mzQEItWr0btBvULda7AwEAEBQUhODhYLDty5EihYuWMu2LFCjx69Ajly5fH5MmTMWrUqI+OS0REREREn6+AgADUr18fderUKbDunTt3kJaWBmtrawBA06ZNER8fj0uXLqFRo0YAgIsXLyI+Ph7NmjUr1nYDTLoleZ/+ttgSbgDIENLwPv1tsfd2p6UV3zWkpKRg9erVaNCgAe7fv4/WrVujZs2aaNWqVbGdk4iIiIiISqfExEQ8fPhQ3A4PD8eNGzdgamqKihUrAgDevn2LHTt2YOnSpbmOf/ToETZv3oyOHTvC3Nwcd+/exaRJk+Dq6ormzZsDAGrUqIEOHTpg5MiR4lJiX3/9Nby8vIp95nKAs5eXSn7fTkJU5DOM7NkTTRwrI3jvPgDAsQMH0a2VG1pWq4HOnTsjJiYGAHDq1ClUr14d06dPh7m5OebPn49Ro0bh+PHj0NfXFz8tcnd3R1BQkMJz7ty5E7Vq1YKpqalc7Jy++eYbNGnSBBoaGqhVqxbatm2Ly5cvF8OrQEREREREpd2VK1fg6uoKV1dXAMDEiRPh6uqKWbNmiXWCgoIgCAL69euX63gtLS2cOHEC7du3R7Vq1eDt7Q0PDw8cP34c6urqYr3NmzfDxcUFHh4e8PDwQO3atfHnn38W/wWCPd2lkt/ypbh45rTc8PJb165jyezZWLl5MxyqVMa2n/0xevRo7Nq1CwDw8OFD6OnpISoqChkZGbC3t881vDwvly5dwsSJE3H48GFUq1YN06dPl4udl4yMDFy6dOmTLTqvahoaGjAxMYGGBn+siIiIiIiU4e7uDkEQ8q3z9ddf4+uvv1a4r0KFCggNDS3wPKampti0aVOh2vixmB2UEXu3bkXf4cPhVKM6AGDWrFkwMTFBeno6gA+LxU+dOhXq6urQ1NSUFHvdunUYN24cnJ2dc8XOL8GcMWMGbG1t0b59+0JeVemira2NypUrq7oZRERERERUgjDpLiOinz3DwR07EfDzLwAANZkMGhoa4rpz1tbWcsMrpHjy5An+/PNPzJ8/XyzLim1nZ6fwmNWrV2P37t34+++/P8k0/ERERERERCUR7+kuteQTWQsrK3hP/x5nH9zH2Qf3ERcXh6SkJDEpzpn4SkmEbW1tsWDBAsTFxYmP7LFz2rZtG+bNm4e//voL5ubmEq+LiIiIiIio7GDSXUqZmpvj2dOn4nbXfv0QFLAO/965CwB48+YN9u3bl+fxFhYWiIyMREZGRoHnGj58OPz9/REWFlZg7KNHj2L8+PE4dOgQHBwcJFwREREREVHZlZKSkuuRmpoq96CyiUl3KTVs/Fgsm/MDWjhVw1/79qNOwwaYMHM6po8bj2aVnVCvXj38/fffeR7funVr2NnZwdzcHPXq1cv3XE2bNsWiRYswaNAgGBoa5ht7wYIFiI2NRbNmzaCvrw99fX2u001ERERERJ8tmVDQVHGfgcjISFSoUAFPnz6VGzKdnJyM8PBwODo6QkdHB2/TYrD24VfFtla3ukwTI6v8kWud7rCYaMmxaltYFVWzqIzK+f4mIiIiouKTkpIi9xWA2Luds5dbS0sLqamp0NLSErezaGtry30tafLKrT5nnEhNAkNNC4ys8gfep78tlvh6Goa5Em4iIiIiIiIqvZh0S2SoacHEmIiIiIiIiJTCe7qJisi7d+9w5coVvHv3TtVNISIiIqISgpOnEZNuIiIiIiIiomLC4eVlVNbkayVpQrWCJoQrSW0lIiIiIiIqCuzpJiIiIiIiIiom7OkmIiIiIiIqYjmXCMu5PFj2ZcCobGNPN4k8PT2xa9cuAICfnx9GjRql4hYRERERERGVbuzpluhZwlvEJicVS2wTHV3YGhgqVdezQUMsWr0atRvUL9S5AgMDERQUhODgYLHsyJEjhYqV3b59+zBlyhRERUVBT08P/fr1w6DvJkFdXf2jYxMREREREZU2TLoleJbwFq2DApCSkVEs8bXV1XGy7wilE+/CSktLK7bYDRo0wJkzZ1C+fHnExsaiV69e2PXnJvQeOqTYzklEREREVBJkDSXP/jznsHL6/HB4uQSxyUnFlnADQEpGhlK96H7fTkJU5DOM7NkTTRwrI3jvPgDAsQMH0a2VG1pWqwHvQUPw+uUrAMCpU6dQvXp1TJ8+Hebm5pg/fz5GjRqF48ePQ19fH3Xq1AEAuLu7IygoSOE5d+7ciVq1asHU1BSdO3dGTEyMwnq2trYoX768XNmzJ0+Ufg2IiIiIiIjKEibdpZDf8qWwtrPF2p07cSH8ETp07YJb165jyezZWLxmDU7eDoOjUxXMmzJFPObhw4fQ09NDVFQUpkyZgtWrV6Nt27ZITEzEzZs38z3fpUuXMHHiRGzbtg0vXrxA9erVMXr06Dzrnz17FgaGhjA1NcX1mzfRtV/fIrt2IiIiIiKi0oTDy8uIvVu3ou/w4XCqUR0A8M2kiWhZtTrS09MBAHp6epg6dSrU1dWhqakpKfa6deswbtw4ODs7AwBmzZoFExMTpKenQ0Mj91uoRYsW+Pvhv4h8/AT7t22DoZHxx10cEREREVEJlnOmckB+WDlnKv+8sae7jIh+9gyrlyxFC6dqaOFUDR5160FdQwPR0dEAAGtr60JPZvbkyRPMmTMHxsbGMDY2hp2dHTSyxc6LnX1FONWogcUzZxXqvERERERERKUde7pLLZncloWVFbynf48BI7+SK7ezsMLDhw8hk8nXz7mdH1tbWyxYsADe3t6SW5mZmYmnERGSjyuNNDU1YWNjI3kkARERERERlV3s6S6lTM3N8ezpU3G7a79+CApYh3/v3AUAxMfGIuRIcF6Hw8LCApGRkchQYmK44cOHw9/fH2FhYQCAN2/eYN++fQrr7tixA0/+N3Hak/BwrPP3R8MWzZW+rtJMS0sLNjY2HD5EREREREQiJt2l1LDxY7Fszg9o4VQNf+3bjzoNG2DCzOmYPm48mlV2Qt92Hrhx+XKex7du3Rp2dnYwNzdHvXr18j1X06ZNsWjRIgwaNAiGhoaoV68e/v77b4V1Hzx4gGbNmqGxQyWM7NETDZs3x5jvfD/qWomIiIiISqKUlBS5R2pqqtyDCABkgiAIqm6EqkVGRqJChQp4+vQp7OzsxPLk5GSEh4fD0dEROjo6KlunOywm/3un81Pbwupjm1UohWmzqtr6ucr5/iYiIiIiaXJOoJY90c6aQC371+yU3Ze1nUVbW1vua0mTV271OeM93RLYGhjiZN8RSq2lXRgmOrq5Em4iIiIiIiIqvZh0S2RrYMjEmIiIiIiIiJTCpJtKjOxD0jnUnIiIiIiIygKVTqTm5+cHmUwm97Cy+v9kSxAE+Pn5wcbGBrq6unB3d8edO3fkYqSkpGD8+PEwNzdHuXLl0LlzZ0RGRn7qSyEiIiIios8EJ1AjKVQ+e3mtWrUQFRUlPm7duiXuW7x4MZYtW4aVK1fi8uXLsLKyQrt27ZCQkCDW8fHxwZ49exAUFISzZ88iMTERXl5eSi2FRVSUMjMzkZSUhMzMTFU3hYiIiIiISgiVJ90aGhqwsrISH+XLlwfwoZd7xYoVmD59Orp37w5nZ2ds2LAB79+/x5YtWwAA8fHxCAgIwNKlS9G2bVu4urpi06ZNuHXrFo4fP67Ky6LPUFJSEu7cuYOkpOKZaI+IiIiIiEoflSfdDx48gI2NDRwdHdG3b1/8999/AIDw8HBER0fDw8NDrKutrQ03NzecO3cOAHD16lWkpaXJ1bGxsYGzs7NYR5GUlBS8fftWfGTvOSciIiIiIiIqKipNuhs3boyNGzfir7/+wtq1axEdHY1mzZrh9evXiI7+MKmWpaWl3DGWlpbivujoaGhpacHExCTPOoosWLAARkZG4qNmzZpFfGVEREREREREKk66PT090aNHD7i4uKBt27Y4dOgQAGDDhg1iHZlMJneMIAi5ynIqqM60adMQHx8vPu7evfsRV1HyhcVE5/v4GA4ODrhw4UKhju3Wyg23r9/4qPOrgqenJ3bt2lVgvTNnzqB+/fpFdt5Ro0Zh2bJlRRaPiIiIiIiKX4laMqxcuXJwcXHBgwcP0LVrVwAferOtra3FOjExMWLvt5WVFVJTUxEbGyvX2x0TE4NmzZrleR5tbW1oa2uL22/fvlW6jfHx8Xj//r3S9aXQ09ODkZGR0vV3/bkJW/4IQOTjxzA2NUHD5s0x+rvvYFuxgqTzZiXexblM128/LcGrmBjM/GmxWLbndGixna84HTlyRKl6LVu2xNWrV8VtmUyGqKgouRn683Lq1CmMGjUK//zzj1i2evVq6Y0lIiIiIiKVKlFJd0pKCu7du4eWLVvC0dERVlZWOHbsGFxdXQEAqampCA0NxaJFiwAA9evXh6amJo4dO4bevXsDAKKionD79m0sXrw4z/MUVnx8PFauXIn09PQijw18mFRu3LhxSiXevy9bjm3rA+G3fBkatWiOjIwMHN61G5fOnkW3/v3Eeh/bk11WpaWlQVNTU9XNICIiIqJSIiUlJdfzrOXBuEwY5Uelw8t9fX0RGhqK8PBwXLx4ET179sTbt28xZMgQyGQy+Pj4YP78+dizZw9u376NoUOHQk9PD/379wcAGBkZYcSIEZg0aRJOnDiB69evY+DAgeJw9aL2/v37Yku4ASA9PV2pXvS38fEI+OUXTF+0EC3btoG2jg70ypVDz8GDxITbs0FDhF35/17Wmd4TEPCLP4APvc7fjx0HnyFD0cSxMr7p1QevX75C7969YWhoiA4dOoiTywUGBqJDhw5inIiICOjo6Chs1/79++Hi4gIDAwN82aQZju4/AAC4/Pc5/PHzL9i7ZSuaOFbG+IGD5dp47cIFdGrURC7WjBkzMG7cOADAmzdv0L9/f1hYWKBSpUpytx9kl9W2X375BeXLl4ejoyP2798v7ndwcMDixYtRrVo18T7+nTt3olatWjA1NUXnzp0RExMj1j958iQaNGgAQ0NDODk54cyZMwAAd3d3BAUFAQCGDh0Kb29vNG/eHDY2Npg2bRoSExMBfOitrl69OgCIk/1VrlwZ+vr6OH/+PB48eIBWrVrB2NgYNjY2+P777wEAGRkZ8PT0xL///gt9fX0YGxuL51q4cKFYZ+bMmahQoQKsra3h4+Mj/rIPDAyEh4cHRo8eDUNDQ9SqVQs3btxQ+JoREREREVHxUmnSHRkZiX79+qFatWro3r07tLS0cOHCBdjb2wMAJk+eDB8fH4wZMwYNGjTAs2fPcPToURgYGIgxli9fjq5du6J3795o3rw59PT0cODAAairq6vqsopd2JUrSEtNQyuPdoWOEXIkGMPGjUPInVtIeBuPoZ27YPz48YiJiUFiYiLWrVsnOaahoSF27tyJ+Ph4TJk3F7Mm+OBVTAwaNm+GryZ4o2v/frgQ/gj+mzbKHefauDFSU1NxJ1tiuGPHDvTp0wcAMGjQIFSoUAFPnz7F4cOHMW3aNNy8eVNhG1JTU3Hnzh08ffoUv/32GwYMGICXL1+K+/fu3YszZ87g1q1buHTpEiZOnIht27bhxYsXqF69OkaPHg0A+O+//9CtWzf4+fkhNjYWJ06ckLvNIbvNmzfD398f//77LxITEzF//vxcdY4ePQoAePToERITE9G0aVMAwI8//ohXr14hNDQUmzZtwt69e6Guro4jR46gatWqSExMRFxcXK54f/zxB/bu3YsLFy7g9u3buHz5stzojpCQELRp0waxsbHo1q0bJk2apLDtRERERERUvFSadAcFBeH58+dITU3Fs2fPsGvXLrmZxGUyGfz8/BAVFYXk5GSEhobC2dlZLoaOjg78/f3x+vVrvH//HgcOHECFCtLuaS5t4mJjYWxqCg2Nwt8d0MStFeo0bABdPT20aNMG9pUc0bJlS+jo6KBTp04ICwuTHNPd3R3VqlWDmpoaWrRpA6caNXDnhuLkODuZTAaPL73EnvF/bt/Gu3fv0KJFC0RHR+PMmTOYP38+tLW1Ub16dfTv3x+7d+9WGEsQBMyePRs6Ojro0KEDGjdujMOHD4v7v/32W1hYWEBHRwfr1q3DuHHj4OzsDE1NTcyaNQv79+9Heno6tm7dii5dusDLywvq6uqoWLEiqlSpovCcPXr0QL169aCvr48RI0Zg3759Sr1eTk5OaNWqFTQ0NODk5IQBAwbg7NmzSh27bds2TJ48Gba2tjAzM8OsWbOwdetWcb+Liwt69uwJdXV19O/fP88PKYiIiIiIqHipfJ1uks7YxARxb9581FB3U3Nz8bm2jg5MzMzEbV1dXbx7905yzLNnz6J58+YwNTVFC6dquHvzJuJjY5U6tn2XLmLS/dfefejVqxdkMhmePHmCd+/ewczMDMbGxjA2NsaaNWvw4sULhXHU1NTkeqQrVKiAqKgocdvOzk58/uTJE8yZM0eMa2dnBw0NDURHRyMyMhKVKlVSqu3ZYxa0XF12z549Q7du3WBlZQUjIyOsWLECr1+/VurY58+fo2LFiuK2vb09nj9/Lm5bWFiIz/X09MQh70RERERE9Gkx6S6FajdoAA1NTZw5djzPOjp6ekhKShK3X2W7V1mKcuXKyd1nnl9COWjQIAwfPhwvXrzA2Qf3UbNOHQiCACD30m851W5QH4CA29dv4NiBg+LQcltbWxgbGyMuLk58JCQk5DmTd2ZmplyS/fTpU7nZwrO3w9bWFgsWLJCLnZSUBDs7O1SoUAHh4eH5tjlLZGSk+PzFixe51pbPy4wZM1C+fHn8+++/iI+Ph4+Pj9Kvl42NDZ48eSJuP3nyBDY2Nkqdl4iIiIiIPh0m3aWQoZERvprgjXlTp+HvkyeRmpKCpPfvsXvTZuzZ8mGIcfVatRC8Zw8yMjJwIfQ0rp4v3FraderUwdWrV3H//n0kJCSIM8crkpCQANP/DXs/fvAg7mYbom5qbo6obMmpIh6dO+PnH+chIyMdjRs3BvAhMW7YsCFmzZolTmR37dq1PNdWl8lkmDt3LlJSUnDs2DFcuHABHTt2VFh3+PDh8Pf3F4fSv3nzRhwa3q9fP+zduxeHDx9GZmYmnj59ikePHimMs3v3bty4cUO8F75Lly4K61lYWCAiIkLu9SpXrhz09fVx+/ZtbNq0Sa5uTEyM3Acn2fXq1QtLlizB8+fP8fr1a8ydOxd9+/ZVWJeIiIiIiFSHSXcp9fXEbzFq0kQsmzMXLatVR5fmLXHt4kU0btkCADBmymTcv3MHLZyqYc+WrXBv375Q56latSqmTp2KZs2aoU6dOmifTxx/f3+MGzcOJiYmOBdyCg3+N1kYALT16oSE+LdoUbU6fIYMVXh8+y6dcensWbT78ku5nt7Nmzfj8ePHqFSpEiwsLODj45NnMqqlpYUaNWrAzs4OI0eOxJ9//ik31Dq7pk2bYtGiRRg0aBAMDQ1Rr149/P333wAAR0dH7Nq1C9OnT4eRkRHatGkj14OeXf/+/TF27FhUrVoV5ubmmDNnjsJ6s2bNQpcuXWBsbIwLFy5g1qxZOHHiBAwNDeHt7Y0ePXqIdWvUqAEvLy/Y2dnBPNutAFm+/vpreHl5oWHDhqhVqxZcXV0xefJkheclIiIiIiLVkQlZ41k/Y5GRkeLs2Nnvz01OTkZ4eDgcHR2ho6OjsnW6P9Va27UtrAqupKSPbXNh2hIREYHq1asjOTn5o84txdChQ1G9enVMnTr1k52zqOR8fxMRERFR3qSs062lpYXU1NRcX/Ork9e+rO0s2tracl9Lmrxyq89Z4ae//gwZGRlh3LhxSq2lXRh6enq5Em4iIiIiIiIqvZh0S2RkZMTEmIiIiIiIiJTCpJvKDAcHh086tBwAAgMDP+n5iIiIiIiodOFEakRERERERKQSp0+fxpdffgkbGxvIZDLs3btXbv/QoUMhk8nkHk2aNJGrk5KSgvHjx8Pc3BzlypVD586d5Zb1BYDY2FgMGjRIHLk8aNAgxMXFFfPVfcCebspTQZOhFeXEa0RERERE9Pl59+4d6tSpg2HDhsmt5pNdhw4dsH79enE7+8RyAODj44MDBw4gKCgIZmZmmDRpEry8vHD16lWoq6sD+LDiUGRkJIKDgwF8WA1o0KBBOHDgQDFd2f9j0k1EREREREQq4enpCU9Pz3zraGtrw8pKcYdffHw8AgIC8Oeff6Jt27YAgE2bNqFChQo4fvw42rdvj3v37iE4OBgXLlxA48aNAQBr165F06ZNcf/+fVSrVq1oLyoHDi8nKiLp6el48+ZNsS0pR0RERET0OTp16hQsLCxQtWpVjBw5EjExMeK+q1evIi0tDR4eHmKZjY0NnJ2dce7cOQDA+fPnYWRkJCbcANCkSRMYGRmJdYoTk26iIpKSkoL//vtPbg1HIiIiIqLPUUJCAt6+fSs+Cvs/sqenJzZv3oyTJ09i6dKluHz5Mlq3bi3Gi46OhpaWFkxMTOSOs7S0RHR0tFjHwsIiV2wLCwuxTnFi0v2ZGdGtO47s2Vts8UeNGoVly5YVW3wiIiIiIir5atasKU5aZmRkhAULFhQqTp8+fdCpUyc4Ozvjyy+/xJEjR/Dvv//i0KFD+R4nCAJkMpm4nf15XnWKC5PuUuibXn2w4dffcpX/NGs2Zoz3VkGL/t/q1asxceJElbZBGQ4ODrhw4YKqm0FEREREVCbdvXsX8fHx4mPatGlFEtfa2hr29vZ48OABAMDKygqpqamIjY2VqxcTEwNLS0uxzosXL3LFevnypVinODHpLoU69eyBQ7t2y5VlZmbir3370bFHdxW1ioiIiIiI6AMDAwMYGhqKD21t7SKJ+/r1azx9+hTW1tYAgPr160NTUxPHjh0T60RFReH27dto1qwZAKBp06aIj4/HpUuXxDoXL15EfHy8WKc4Mekuhdp06ojHjx7iv3//Fcsu/30OmRkZaNyyJR7cvYchXp3Rwqka+nm0R9iVqwrjpKenY9WixfBs0BDNq1SFu7s7gA8JfPfu3eFe0xktq9WA71cjEf+/T46ePXmKhhUdsOvPTbC2toaVlRX+/PNPMebQoUOxcOFCcXvz2j/wZZNmaFbZCf3beyLuzRuFbQlatx5fNmkGtxo1MWO8N969ewcAqFKlCk6fPi3We/ToEUxNTZGWlgYAWLVqFZycnGBubo4hQ4aIxwUGBsLDwwOjR4+GoaEhatWqhRs3bgAAvvrqKzx58gStW7eGvr4+tm3bJuXlJyIiIiKiIpKYmIgbN26I/6uHh4fjxo0bePLkCRITE+Hr64vz588jIiICp06dwpdffglzc3N069YNAGBkZIQRI0Zg0qRJOHHiBK5fv46BAwfCxcVFnM28Ro0a6NChA0aOHIkLFy7gwoULGDlyJLy8vIp95nKASXepVE5fH24e7XF49x6x7MjuPejQtQsyMzLgPXgwPLt3Q8jd2xg8ejTGDxqEhLdvc8VZ778Sf58Mwbq9e3D6/j3MmTMHYTHRCIuJRoO2rXH48iUcvnwR7xITsWbp/9+nnZaaiohHj/D48WNs3LgRY8eOxfv373PFP7RzF7b+EYDlgetx9sF9zPxpETRzrKkHAEf3H8CuPzdhzY5t+OvaVaSnpWPWrFkAgN69e2P79u1i3W3btqFbt27Q1NTEjh078Pvvv+P48eN4+vQp0tLSxOMAICQkBG3atEFsbCy6deuGSZMmAQD++OMPVKxYESdPnkRiYiL69OlTiO8CERERERF9rCtXrsDV1RWurq4AgIkTJ8LV1RWzZs2Curo6bt26hS5duqBq1aoYMmQIqlativPnz8PAwECMsXz5cnTt2hW9e/dG8+bNoaenhwMHDohrdAPA5s2b4eLiAg8PD3h4eKB27dpynYfFiUm3RFFRUbh27Zr4+O+//8R9kZGRcvseP34s7nv8+LHcvsjISHHff//9h2vXriEqKkrpdnTq2QNH/pd0p6ak4PihQ+jYowfCrl6Fmpo6+g4fBk1NTXh264qKjpVw/lRorhj7t23HhBnTYW1nB3V1dbi5uQEA1NTU4NWzJ/TK6cHA0BADv/ka17MNxRAEAd9MmggtLS14eHhAR0dH7nXIHn/EBG9UqV4NampqqFG7Nsrp6+eqt2fLFnzlMwE2FSpAR1cXIyZ4Y+fOnQA+TJywa9cuZGZmAgC2b98uJskBAQGYPn067O3toauri++//148DgBcXFzQs2dPqKuro3///rh586bSry8RERERERU/d3d3CIKQ6xEYGAhdXV389ddfiImJQWpqKh4/fozAwEBUqFBBLoaOjg78/f3x+vVrvH//HgcOHMhVx9TUFJs2bRJnU9+0aROMjY0/yTUy6ZZozZo1qF+/vviYMmWKuG/ZsmVy++bOnSvumzt3rty+7DN8T5kyBfXr18eaNWuUbkezL9zxLjEBYVeu4syJEzAxM4Oza13ERL+Ala2tXF1rOzu8VDAV/ouoKNjZ2+cqT09Px+IZM9GhfgM0q+wE3xEjEffm/ycm0NLWhn62T5b09PSQmJioIP5zhfFzin72DH7fTkQLp2po4VQNwzp3QczLlwiLiYbM2hI6+uVw+vRp/Pvvv3j27Blat24NAHjy5AlGjBgBY2NjGBsbo0WLFnj16pUYN/uyAHm1kYiIiIhIkZSUFKSkpIhJWkJCgvhITExEamoqUlNTVd1MKgU0VN2A0uabb75B586dxe3sn45MnDgRAwcOFLfNzMzE5zNnzsSYMWPE7ewJ4aJFizBt2jRxMgBlaGpqwqNzZxzevQevYl6g0/8mULOwssSL58/l6kY/e4a2Xp1yxbC0scGzJ09gW1H+U6DDu3bj2sWL2HjoICysrPB3SAh+/G6y0m3LGb9h8/wnJ7CwssaE6dPh3qG9wv3tu3TBjh07YGVlhR49ekBD48Pb1tbWFgsXLpT7fijrUywNQERERERExKRbImtr6zyTYzs7O9jZ2SncZ29vD/s8en0rVapUqLZ07NEdPkOGIen9O4z//sMU/LXr10d6ehq2B25A94EDcPLwEUQ8eoSm7m65ju/Spzd+mTcfS/74HeWtrHD69GkYV6+Kd4mJ0NLShoGhIWJfv8bGX1cXqn1d+vTBbz8tQe369eDo5IR/bt1CxUqVcg0x79q/H9au+BlVqleHnYM9Xr54gX/v3EHz//Vot+/SGaN79YGZmRlWrlwpHjdixAjMmzcPzs7OqFSpEqKionDz5k106NChwLZZWFggIiICTZo0KdS1EREREVHZkZKSIvcVgNiLnZqaCi0tLXFbS8EcRUT54fDyUqxuw4Yop6+PKtVrwP5/ibumlhZWbAjEwR074Va9Jtb5++PnjYEwMDTMdfyQsWPQuGULDPbqjFbVasD3++8BAF/27gV9QwN8UcsFw7p0RbPWXxSqfR17dEefYUMxbsAgNKvshHlTpiH9f7OOZ+fZrSu69O2DsQMGoGmlKhjetTseZZuZvXK1aihfvjxev34t3ncOAH379sXQoUPRsWNHGBgYwM3NDXfv3lWqbVOmTIGvry+MjY3lJmojIiIios9H1hDyrEfWkHEOHaeiJBMEQVB1I1QtMjISFSpUwNOnT+V6qpOTkxEeHg5HR0fo6OiorH1hMbnvxy5JaltY5Sor6jYrOkdJ8+7dO9y7dw81atRAuXLlVN2cApWU9zcRERGRquTs4c6eaGfv4c7Z053XviyFqZPXvqztLFnrXRfVutdFLa/c6nPG4eVERURXVxe1atUqsb8AiYiIiIjo02PSTVRE1NTUoKurq+pmEBEREVE+st+3nbOHm/dtU3Fg0k2lQn7D1UvD0HMiIiIiIvo8MekmIiIiIqIyr6AZyomKC2cvVwLnmstfWEx0iZ/sjXLj+5qIiIiIqPixpzsf6urqAD588sV7damsyfpEN+t9TkRERFQWKTNDOVFxYtKdDw0NDejp6eHly5fQ1NSEmppqBgYICta2LomSk5PF55+yzdnPS8rJzMzEy5cvoaenBw0N/hogIiKi0q2goeN5LctF9Cnwv+18yGQyWFtbIzw8HI8fP1ZZO2IS3qrs3FJovU0Un3/KNmc/LylPTU0NFStWhEwmU3VTiIiIiAqFvdhUGjDpLoCWlhacnJxUOrnCV0HrVHbu0uBE3+GqbgIAICYmBtu3b0fv3r1hYWGh6uYUSEtLS2WjN4iIiIiIPhdMupWgpqYGHR0dlZ3/WfJ7lZ27NFDl9ya7V69e4bvvvkPr1q1RsWJFVTeHiIiIqExQpjebQ8epJGPSTUREREREJU5eyXbWVybWVFpwbCkRERERERFRMWFPNxEREREREVEeYmNj8eDBA8hkMlSpUgUmJiaSjmdPNxEREREREVEOERER6NixI8zNzdGkSRM0btwY5ubm6Nixo6TVrdjTTURERERERJTNixcv0Lx5c6irq2P+/PmoUaMGBEHA/fv3sXLlSjRr1gzXrl2DpaVlgbGYdFOp57B6CQAgYpSviltCRERERERlwbx582BqaopLly5BV1dXbp+3tzcaNmyIH3/8Ef7+/gXG4vByIiIiIiIiomwOHjyIOXPm5Eq4gQ9LFv/www84fPiwUrGYdBMRERERERFlExUVhdq1a+e538XFBc+ePVMqFoeXExERERGRSuVckxuQX5dbS0tL3Cb6FMqXL4/09PQ896elpSl1PzfApJuIiIiIiD6BghLr7LKSbC0trU/XQKJs6tevj6NHj6J69eoK9wcHB6NOnTpKxeLwciIiIiIiIqJsJk6ciDVr1iA+Pj7Xvrdv32Lt2rXw8fFRKhZ7uomKSL169SAIgqqbQURERFSi5Ozhzt6rzd5sKqlatmyJO3fuKNxnaGiIu3fvKh2LSTcRERERERGRAsnJyXj58iUyMzPlyu3t7ZWOwaSbiIiIiIiIKJt//vkHw4cPx4ULF+TKZTIZBEHIlYTnh0k3EREREREVieyTpOUcTq5osjSikmrEiBHQ0tLC4cOHYW1tDZlMVuhYTLqJiIiIiKhQlLlfm/dtU2l08+ZNXL58GTVq1PjoWJy9nIiIiIiIiCibatWq4eXLl0USi0k3ERERERERUTaLFy/G5MmTcezYMbx69Qrx8fFyDyk4vJyIiIiIiIgoGw8PDwBAhw4dFC4LXOwTqaWlpSE6Ohrv379H+fLlYWpqWpgwRGXKf//9hylTpmDRokWoVKmSqptDRERERESFFBISUmSxlE66ExMTsXnzZmzduhWXLl2Sm5nQzs4OHh4e+Prrr9GwYcMiaxxRaRIXF4edO3di2rRpqm4KERERERF9hFatWhVZLKWS7uXLl2PevHlwcHBA586dMXXqVNja2kJXVxdv3rzB7du3cebMGbRr1w5NmjSBv78/nJyciqyRRIXhsHpJvvsjRvl+opYQEREREVFpEhoamu9+Nzc3pWMplXSfO3cOISEhcHFxUbi/UaNGGD58OFavXo2AgACEhoYy6SYiIiIiIqJSqXXr1hAEIdf63Fn3dxf5Pd07duxQKpi2tjbGjBmj9MmJiIiIiIjog447NwIA0mUyaAgC0v+X8KVnS/zS1T48fzjmu0/fwM9IbGys3HZaWhpu3bqF6dOnY/bs2ZJicfZyKjMKGk5ORERERB8v+9xOWc9TU1PlvmppaX36hhEVIUNDw1xl7u7uWLp0KcaMGSPObq4MyUl3cnIy/P39ERISgpiYmFzd6teuXZMakoiIiIiIiKjE09XVxT///CPpGMlJ9/Dhw3Hs2DH07NkTjRo1yjXGnYiIiIiIyp6sXu3sPd3Ze7jZu01lyYYNG+S2BUHAixcvEBAQgGbNmkmKJTnpPnToEA4fPozmzZtLPTRfCxYswPfff48JEyZgxYoVAD5c2Jw5c/D7778jNjYWjRs3xqpVq1CrVi3xuJSUFPj6+mLr1q1ISkpCmzZt8Ouvv8LOzq5I20dERERE9DnKmWxnJdpZz5lsU1n07bffym2npaXh/fv3aNWqFbZu3SoplprUk9va2sLAwEDqYfm6fPkyfv/9d9SuXVuufPHixVi2bBlWrlyJy5cvw8rKCu3atUNCQoJYx8fHB3v27EFQUBDOnj2LxMREeHl5ISMjo0jbSGWPw+olvA+ciIiIiFSu486N4iRqVDK8efNG7pGQkID//vsPOjo6uHLliqRYkpPupUuXYsqUKXj8+LHUQxVKTEzEgAEDsHbtWpiYmIjlgiBgxYoVmD59Orp37w5nZ2ds2LAB79+/x5YtWwAA8fHxCAgIwNKlS9G2bVu4urpi06ZNuHXrFo4fP14k7SMiIiIiKutSUlKQkpKCt2/fio9Xr17h1atXeP36NRISEpCYmIjExESkpqbK9XYTfS7s7e2xaNEiTJo0SdJxkpPuBg0aIDk5GZUqVYKBgQFMTU3lHlKNHTsWnTp1Qtu2beXKw8PDER0dLTcrnLa2Ntzc3HDu3DkAwNWrV5GWliZXx8bGBs7OzmIdIiIiIqLPWc6EOiuZfvXqFZ4/f87EmkiChIQEPHv2TNIxku/p7tevH549e4b58+fD0tLyoyZSCwoKwrVr13D58uVc+6KjowEAlpaWcuWWlpZiL3t0dDS0tLTkesiz6mQdr0jWL54s2YerExWWjo4OatasCR0dHVU3hYiIiD4Tytxvnf1rdrwXmyhvc+bMkdvOmkht586d6NSpk6RYkpPuc+fO4fz586hTp47UQ+U8ffoUEyZMwNGjR/NNUnIm9YIgFJjoF1RnwYIFuV5Eoo9Vs2ZN3LlzR9XNICIiIqJSouPOjUiXyaQnZWXI6dOn8dNPP+Hq1auIiorCnj170LVrVwAfJi+bMWMGDh8+jP/++w9GRkZo27YtFi5cCBsbGzGGu7s7QkND5eL26dMHQUFB4nZsbCy8vb2xf/9+AEDnzp3h7+8PY2Njhe3at2+f3LaamhosLCwwefJkjB8/XtI1Sv7+Vq9eHUlJSVIPy+Xq1auIiYlB/fr1xbKMjAycPn0aK1euxP379wF86M22trYW68TExIi931ZWVkhNTUVsbKxcb3dMTEy+07hPmzYNEydOFLefPXuGmjVrfvQ1EREREREVt+wjNnP2cGd9ZS82lRbv3r1DnTp1MGzYMPTo0UNu3/v373Ht2jXMnDkTderUQWxsLHx8fNC5c+dck5mNHDkSP/zwg7itq6srt79///6IjIxEcHAwAODrr7/GoEGDcODAAYXtunbtWlFcHoBCJN0LFy7EpEmTMG/ePLi4uEBTU1Nuv6GhoVJx2rRpg1u3bsmVDRs2DNWrV8eUKVNQqVIlWFlZ4dixY3B1dQXw4ZdIaGgoFi1aBACoX78+NDU1cezYMfTu3RsAEBUVhdu3b2Px4sV5nltbWxva2tri9tu3b5VqMxERERGRqnCdbCqLPD094enpqXCfkZERjh07Jlfm7++PRo0a4cmTJ6hYsaJYrqenBysrK4Vx7t27h+DgYFy4cAGNGzcGAKxduxZNmzbF/fv3Ua1atSK6GsUkJ90dOnQA8CFpzi5rSLeyS3UZGBjA2dlZrqxcuXIwMzMTy318fDB//nw4OTnByckJ8+fPh56eHvr37w/gwzdhxIgRmDRpEszMzGBqagpfX1+4uLjkmpiNSFUKWpYsYpTvJ2oJEREREdGnkZCQINe5mbPjs7Di4+Mhk8lyDQvfvHkzNm3aBEtLS3h6emL27NniUtfnz5+HkZGRmHADQJMmTWBkZIRz584pTLoTEhKwYMECnDx5Ei9fvkRmZqbc/vDwcKXbLDnpDgkJkXpIoU2ePBlJSUkYM2YMYmNj0bhxYxw9elRunfDly5dDQ0MDvXv3RlJSEtq0aYPAwECoq6t/snYSERERERHR/8t5++7s2bPh5+f3UTGTk5MxdepU9O/fX26E9YABA+Do6AgrKyvcvn0b06ZNw82bN8Ve8ujoaFhYWOSKZ2FhkecE3F9//TVOnz6NQYMGwdra+qMmEJecdLu5uRX6ZAU5deqU3LZMJoOfn1++3xwdHR34+/vD39+/2NpFZVtWTzR7nImIiIiIisbdu3dha2srbn9sL3daWhr69u2LzMxM/Prrr3L7Ro4cKT53dnaGk5MTGjRogGvXrqFevXoAck/QDeQ/AXdwcDAOHDiAFi1afFS7gUIk3cCHTxjCwsIQExOTq5u9c+fOH90oIiIiIiIiKr0MDAyUnu+rIGlpaejduzfCw8Nx8uTJAuPWq1cPmpqaePDgAerVqwcrKyu8ePEiV72XL1/mWqI6i5GRUZ4zm0slOekODg7G4MGD8erVq1z7pNzTTURERERERJSfrIT7wYMHCAkJgZmZWYHH3LlzB2lpaeIqWE2bNkV8fDwuXbqERo0aAQAuXryI+Pj4PFe9mjt3LmbNmoXAwMCP/vBActI9btw49OrVC7NmzcrzUwGi0ii/Cc+UGXp+9+5d9OrVCzt27OASdERERFRkcs5anjVjedZzzlpOpVliYiIePnwoboeHh+PGjRswNTWFjY0NevbsiWvXruHgwYPIyMgQ78E2NTWFlpYWHj16hM2bN6Njx44wNzfH3bt3MWnSJLi6uqJ58+YAgBo1aqBDhw4YOXIk1qxZA+DDPdteXl55zly+fPlyPHr0CNbW1nB0dMy1atf169eVvkbJSXdMTAwmTpzIhJsoh+TkZNy9exfJycmqbgoRERERUalw5coVfPHFF+L2xIkTAQBDhgyBn58f9u/fDwCoW7eu3HEhISFwd3eHlpYWTpw4gZ9//hmJiYmoUKECOnXqhNmzZ8tNrr1582Z4e3vDw8MDwIfboleuXJlnu7p27VpEV1iIpLtnz544deoUKleuXGSNICrpsveCc8I1IiIiIqKi4e7uDkEQ8tyf3z4AqFChAkJDQws8j6mpKTZt2qR0u2bNmqV03YJITrpXrlyJXr164cyZM3BxccnVze7t7V1kjSMqLRxWL0HKk0gAQKedG6F96aSKW0REREREJVHHnRsBAOkyWeFmtaZSR/L3ecuWLfjrr7+gq6uLU6dOyU2xLpPJmHQTERERERWBvO7lzvrKe7mJio+6unqBvexZcq7olZPkpHvGjBn44YcfMHXqVKipqUk9nIiIiIiI/keZSdKyfyWiT2PPnj1FFkty0p2amoo+ffow4SYiIiIikiBngg3I915nT6zZi02kWp07dy6yWJKT7iFDhmDbtm34/vvvi6wRRERERETF5WN6k6Xs+5jjiajk2b9/Px4+fIhmzZqhSZMmhY4jOenOyMjA4sWL8ddff6F27dq5JlJbtmxZoRtDREREREREpGpTp07F8uXLUbFiRUyZMgVbt25Fz549MX/+fLx9+xYLFy5UOpbkMeK3bt2Cq6sr1NTUcPv2bVy/fl183LhxQ2o4IiIiIiIiohJl3bp12LhxIx48eIC5c+fi559/BgC0adNG8v3eknu6Q0JCpB5CREREREREVGqkpKSgYcOGAAAPDw8x6ba2tkZkZKSkWJwNjYiIiIiIiCibTp064eDBgwAAIyMjJCYmAvgw8tvKykpSLKV6ukeNGoXp06ejQoUKBdbdtm0b0tPTMWDAAEkNISrt1HR1oVevNtR0dVXdFCIqwQozoVNhJmsqygmhPvb8qjj+Y18bZc/P703pOz7nPiIiRZo0aYIffvgBYWFhcHBwQHp6OpYsWYJly5bhq6++khRLqaS7fPnycHZ2RrNmzdC5c2c0aNAANjY20NHRQWxsLO7evYuzZ88iKCgItra2+P333wt1YUSlmWZ5M5QfOUjVzSCSLPvSNTkTwZL+z7OqE7OPPZ7LAxEREZVMfn5+AIDdu3cD+NDbvX37dkycOBHffvutpFhKJd1z587F+PHjERAQgNWrV+P27dty+w0MDNC2bVv88ccf8PDwkNQAIiJSDWXWiyUiIiL6HL1586bIYik9kZqFhQWmTZuGadOmIS4uDo8fP0ZSUhLMzc1RuXJlyGSyImsUUWnhsHqJqptARERERESfSHJyMrZt24YhQ4YofYzk2csBwNjYGMbGxoU5lKjUy0q0I0b5qrglRERERERUHFJTU7Fr1y5ERETI3S6WmJiIpUuXIiIiAgAwe/bsAmMVKukmIiIiIiIiKqsGDhyI4OBgODo6Ql1dXSxPT0+HTCbDvn37IAgCk24ios+dMvdtK5qIjIiIiOhzdvz4cZw5cwZ16tSRK3/58iUsLS1x7do1pWNxnW4iIiIiIiKibOLj42FnZ5erXBAEyfOZsaebqJA4iRqVZMqsBU1ERESfTsedG1XdBJJg/fr1MDAwyFVuZGSE9evXS4rFnm6iIpLyJBKPR3+HlCeRqm4KERERERF9hMGDByvspNDW1sbgwYMlxZKcdL948QKDBg2CjY0NNDQ0oK6uLvcgIiIiIiIiKs3U1dWhpqaW5wMAYmJixOf5kTy8fOjQoXjy5AlmzpwJa2trrs9NREREREREZcqePXsKrGNiYoK9e/cWWE9y0n327FmcOXMGdevWlXooERERERERUYnXuXPnAutoamoqVU/y8PIKFSpAEASphxERUTFLSUnJ9UhNTZV7EBEREVHhvHr1CqtWrUKzZs0kHSc56V6xYgWmTp2KiIgIqYcSERERERERlRrv37/Hli1b0KlTJ9ja2mLJkiVwd3eXFEPy8PI+ffrg/fv3qFy5MvT09KCpqSm3/82bN1JDElEpVdCyaRGjfD9RS4iIiIiIis6RI0ewefNm7N+/Hzo6OujZsydOnjyJ5s2bS44lOelesWKF5JMQEVHRU2Ytbg4pJyIiIpLOy8sLtWvXxpYtW+Dp6flRK3VJTrqHDBlS6JMREdHHyyvZzvqqaE1JIiIiIlKem5sbTp8+jalTp+LmzZvo378/HB0dCxVLctINABkZGdi7dy/u3bsHmUyGmjVronPnzlynm6gQFA3RLivDsrOuraxcjyplJdjZn+dMtomIiIioaJw8eRKRkZHYsmULNm3ahJkzZ6Jp06bo168f+vbtC3Nzc6VjSZ5I7eHDh6hRowYGDx6M3bt3Y+fOnRg4cCBq1aqFR48eSQ1HREREREREVOLY2dlh8uTJCAsLQ1hYGFq2bInFixfDxsZGUhzJSbe3tzcqV66Mp0+f4tq1a7h+/TqePHkCR0dHeHt7Sw1HRET5KGgZMCIiIiIqfs7Ozli4cCGePHmCY8eOSTpW8vDy0NBQXLhwAaampmKZmZkZFi5cWKiZ3IjKCnUjQxh1agd1I0NVN6XEyT6EnkPNiYiIiKi0ePDgAa5fvw41NTW4urqicuXKcHNzkxRDctKtra2NhISEXOWJiYmcvIc+axpGhjD28lB1M4pdQcuEERERERGVdhkZGRg6dCi2bNkCdXV1pKenQyaToW/fvggMDMy1dHZ+JA8v9/Lywtdff42LFy9CEAQIgoALFy5g1KhR6Ny5s9RwRESkQH5DyjmsnIiIqPTouHMj3LcGqLoZJNGPP/6Ic+fO4fTp07h79y709fXx7NkzPHnyBNOnT5cUS3LS/csvv6By5cpo2rQpdHR0oKOjg+bNm6NKlSr4+eefpYYjIiIiIiIiKlE2btyIJUuWoHnz5lBTU4MgCLCyssKiRYuwZcsWSbEkDy83NjbGvn378ODBA/zzzz8QBAE1a9ZElSpVpIYiIiIiIiIiKnGePXsGV1fXXOXW1taIi4uTFKtQ63QDgJOTE5ycnAp7OBF9pnLeE86J1YiIiKi067hzo9x2ukwGDUH48FVFbaKPY2ZmhpcvX8LBwUGufM+ePXBxcZEUS6n3wMSJEzF37lyUK1cOEydOzLfusmXLJDWAiIg+SElJyfU86/7trK+csJKIiIio+DVt2hQhISFo2LAhgA//i7Vr1w5///03jhw5IimWUkn39evXkZaWJj4nIiIiIiL63HXcuZG92WXUnDlz8PTpUwCAvr4+unfvjsqVK2P16tWoXLmypFhKvT9CQkIUPiei/5eZmob0V6+hYW4GNS3llxAgIiIiIqKSpVatWqhVqxYAwMLCAlu3bi10LMmzlw8fPlzhOt3v3r3D8OHDC90QotIuLfoFouYuRVr0C1U3hYiIiIiISgjJSfeGDRuQlJSUqzwpKQkbN25UcAQREeUn55rcXJebiIiIqOxQ+vaDt2/fQhAECIKAhIQE6OjoiPsyMjJw+PBhWFhYFEsjiYiIiIiIiEojpZNuY2NjyGQyyGQyVK1aNdd+mUyGOXPmFGnjiIiIiIiIiEozpZPukJAQCIKA1q1bY9euXTA1NRX3aWlpwd7eHjY2NsXSSCIiIiIiIqLSSOmk283NDQAQHh6OChUqQE1N8u3gRERERERERCWSuro6BEFQqm5mZqbScSUvKWdvbw8AeP/+PZ48eZJrgp/atWtLDUlERERERESkUnv27BGfP3/+HLNnz0avXr3QpEkTAMCFCxewfft2/PDDD5LiSk66X758iWHDhuHIkSMK92dkZEgNSURU4qWkpOR6nvWhY84PH7W0tJCamip+zW9fQXWIiIiIyrLTp0/jp59+wtWrVxEVFYU9e/aga9eu4n5BEDBnzhz8/vvviI2NRePGjbFq1SpxDW3gw/9mvr6+2Lp1K5KSktCmTRv8+uuvsLOzE+vExsbC29sb+/fvBwB07twZ/v7+MDY2Fut07txZfN6+fXssXLgQw4YNE8sGDhyI+vXrY8eOHRg1apTS1yh5jLiPjw9iY2Nx4cIF6OrqIjg4GBs2bICTk5N4AUREZUVBy3kRERERUeG9e/cOderUwcqVKxXuX7x4MZYtW4aVK1fi8uXLsLKyQrt27ZCQkCDW8fHxwZ49exAUFISzZ88iMTERXl5ech3C/fv3x40bNxAcHIzg4GDcuHEDgwYNyrNdZ86cQYsWLXKVt2zZEqdOnZJ0jZJ7uk+ePIl9+/ahYcOGUFNTg729Pdq1awdDQ0MsWLAAnTp1khqSiKjEyerNztmrnfWcvdBEREREH8/T0xOenp4K9wmCgBUrVmD69Ono3r07AGDDhg2wtLTEli1b8M033yA+Ph4BAQH4888/0bZtWwDApk2bUKFCBRw/fhzt27fHvXv3EBwcjAsXLqBx48YAgLVr16Jp06a4f/8+qlWrluvcVlZW2LRpU64VujZu3AgrKytJ1yg56X737p24HrepqSlevnyJqlWrwsXFBdeuXZMajohKCYfVS1TdBCIiIiL6jISHhyM6OhoeHh5imba2Ntzc3HDu3Dl88803uHr1KtLS0uTq2NjYwNnZGefOnUP79u1x/vx5GBkZiQk3ADRp0gRGRkY4d+6cwqR70aJF6N+/P44dOybe033+/HlcuXIFW7dulXQdkoeXV6tWDffv3wcA1K1bF2vWrMGzZ8+wevVqWFtbSw1HRFRiFDSUnMPJiYiIiJSTkJCAt2/fio/s8+MoKzo6GgBgaWkpV25paSnui46OhpaWFkxMTPKtk9VxnJ2FhYVYJ6devXrh9u3bqFevHsLCwnDz5k3Ur18ft2/fRs+ePSVdh+Sebh8fH0RFRQEAZs+ejfbt22Pz5s3Q0tJCYGCg1HBEZYaGmSnMvxoIDTPTgisXIKtXOWKU70fHIiIiIiL61GrWrCm3PXv2bPj5+RUqlkwmk9sWBCFXWU456yiqX1CcatWq5XmvuRSSk+4BAwaIz11dXREREYF//vkHFStWhLm5+Uc3iKi0Ui+nh3L166i6GUREREREKnf37l3Y2tqK29ra2pJjZN07HR0dLTeqOiYmRuz9trKyQmpqKmJjY+V6u2NiYtCsWTOxzosXL3LFf/nyZa5e9CyPHz/Ot21ZS2krQ3LS/cMPP8DX1xd6enoAAD09PdSrVw9JSUn44YcfMGvWLKkhiSgPiu6jZu83ERERkWp13LkR6TKZ9GTqM2JgYABDQ8OPiuHo6AgrKyscO3YMrq6uAD5MaBsaGopFixYBAOrXrw9NTU0cO3YMvXv3BgBERUXh9u3bWLx4MQCgadOmiI+Px6VLl9CoUSMAwMWLFxEfHy8m5jlVqlRJ7AkXBCHX/szMTKWvQ/L7ZM6cORg1apSYdGd5//495syZw6SbiIiIiIiIlJKYmIiHDx+K2+Hh4bhx4wZMTU1RsWJF+Pj4YP78+XBycoKTkxPmz58PPT099O/fHwBgZGSEESNGYNKkSTAzM4OpqSl8fX3h4uIizmZeo0YNdOjQASNHjsSaNWsAAF9//TW8vLwUTqIGANevX5fbfvfuHa5evYrly5dj4cKFkq5RctKd17j3mzdvwtT04+9lJSIiIiIios/DlStX8MUXX4jbEydOBAAMGTIEgYGBmDx5MpKSkjBmzBjExsaicePGOHr0KAwMDMRjli9fDg0NDfTu3RtJSUlo06YNAgMDoa6uLtbZvHkzvL29xVnOO3funO/92rVr185V1rRpU9jZ2eHnn39Gr169lL5GpZNuExMTyGQyyGQyVK1aVS7xzsjIQGJiIkaNGqX0iYmocD71JGtcKoyIiIiIiou7u7vC4dtZZDIZ/Pz88p2ETUdHB/7+/vD398+zjqmpKTZt2vQxTQXwYV6zixcvSjpG6SXDVqxYgWXLlkEQBMyZMwfLly8XH6tXr8bZs2exatUqSSf/7bffULt2bRgaGsLQ0BBNmzbFkSNHxP2CIMDPzw82NjbQ1dWFu7s77ty5IxcjJSUF48ePh7m5OcqVK4fOnTsjMjJSUjuIiIiIiIiIFImJicGrV68AfJgQ7rfffkN6errSxyvd0z1kyBAAH25mb9asGTQ1NSU2NTc7OzssXLgQVapUAQBs2LABXbp0wfXr11GrVi0sXrwYy5YtQ2BgIKpWrYoff/wR7dq1w/3798XhBD4+Pjhw4ACCgoJgZmaGSZMmwcvLC1evXpUbTkBElJesdSOzrx+ZtSZ3amoqtLS0VNIuIiIiIlKdgIAA+Pn54dmzZwCAChUqYMaMGRg5cqSkOEr1dL99+1Z87urqiqSkJLmFzrM/pPjyyy/RsWNHVK1aFVWrVsW8efOgr6+PCxcuQBAErFixAtOnT0f37t3h7OyMDRs24P3799iyZQsAID4+HgEBAVi6dCnatm0LV1dXbNq0Cbdu3cLx48cltYXoY2W8e493V28i4917VTeFlJSSkiL3SE1NlXsQERER0ecpKCgIEyZMwKhRo7Blyxbo6elh8eLFmDNnDtavXy8pllJJt4mJCWJiYgAAxsbGMDExyfXIKi+sjIwMBAUF4d27d2jatCnCw8MRHR0t3ugOfOjKd3Nzw7lz5wAAV69eRVpamlwdGxsbODs7i3WIPpX012/w6o9NSH/9RtVNISIiIiKij/DTTz9h/vz5mD59Oho1agSZTIY+ffpg1apV+OmnnyTFUmp4+cmTJ8WZyUNCQqS3OB+3bt1C06ZNkZycDH19fezZswc1a9YUk+aci5VbWlqKC5VHR0dDS0srV7JvaWmJ6OjoPM+Z1auVJSEhoaguh4hKqOw/81nPsw8hz47DyYmIiIg+b3fv3oWnp2eu8rp16yI8PFxSLKWSbjc3N4XPi0K1atVw48YNxMXFYdeuXRgyZAhCQ0PF/TmXJ8tryTIpdRYsWIA5c+Z8XMOJiIiIiIioTCpXrpxcp02W69evw9HRUVIspWcvzy42NhZLlizBiBEj8NVXX2Hp0qV486ZwQ2q1tLRQpUoVNGjQAAsWLECdOnXw888/w8rKCgBy9VjHxMSIvd9WVlZITU1FbGxsnnUUmTZtGuLj48XH3bt3C9V2IiIiIiIiKntcXFxw5coVcTs9PR3z5s3DyJEjMX78eEmxJCfdoaGhcHBwwC+//ILY2Fi8efMGv/zyCxwdHeV6qAtLEASkpKTA0dERVlZWOHbsmLgvNTUVoaGhaNasGQCgfv360NTUlKsTFRWF27dvi3UU0dbWFpcpMzQ0lFtYnYjKlpyTpeWcMI2IiIiIKCcfHx+xc1ddXR0mJiY4cuQIli1bhtGjR0uKpfSSYVnGjh2LPn364LfffhOX5MrIyMCYMWMwduxY3L59W+lY33//PTw9PVGhQgUkJCQgKCgIp06dQnBwMGQyGXx8fDB//nw4OTnByckJ8+fPh56eHvr37w8AMDIywogRIzBp0iSYmZnB1NQUvr6+cHFxQdu2baVeGhERERERERG6dOkiPre3t8fz588LHUty0v3o0SPs2rVLbg1sdXV1TJw4ERs3bpQU68WLFxg0aBCioqJgZGSE2rVrIzg4GO3atQMATJ48GUlJSRgzZgxiY2PRuHFjHD16VK5nevny5dDQ0EDv3r2RlJSENm3aIDAwkGt0ExERERERUaGlpaVh69atCAsLQ1JSEurUqYMBAwagXLlykuJITrrr1auHe/fuoVq1anLl9+7dQ926dSXFCggIyHe/TCaDn58f/Pz88qyjo6MDf39/+Pv7Szo3EZUuUmcfT01NzfU15z4iIiIiIkWePn2Kdu3a4cWLF2Keu3nzZixatAinT5+Gra2t0rEkJ93e3t6YMGECHj58iCZNmgAALly4gFWrVmHhwoUICwsT69auXVtqeCJSksPqJQCAiFG+Km5J8cpKsLMn3dmTbSbPRERERFTUJk2aBCsrK1y4cAHGxsYAgPj4eHTp0gWTJk1CUFCQ0rEkJ939+vUD8GHot6J9MplMXLIrIyNDangiIiIiIiIilTp27BgOHTokJtzAhznFFixYAC8vL0mxJCfdUhcCJ6LSKasnXVVy9nBnH0LOHm4iIiL61Dru/DB/VbpMJj2JolInPT0d1tbWucotLS0Vrt+dH8nvF3t7e6mHEFEpoepEm4iIiIioJKhZsyauX78OR0dHufJr166hZs2akmIplXTv378fnp6e0NTUxP79+/Ot27lzZ0kNICorNK0sYT1zEjTMzVTdlFJLmcnS2MNNRERERMVt1apVCm+XrlChAlatWiUpllJJd9euXREdHQ0LCwt07do1z3q8j5s+Z2pamtCysVJ1M4iIiIiI6CM1aNBAYXnjxo0lx1Iq6c7MzFT4nIioMDQyBfHr27dvFfZm51zyi4iIiIjoU5kzZ06++2fPno3379/jp59+wuzZs/OtyzkAiIiIiIiIiLLZt29fnvsEQcDs2bORkpKCffv2FX3S7e3tjSpVqsDb21uufOXKlXj48CFWrFghNSQRfcYabVwNDeF/Pd//+3q8/1eqbBIRERERfeauXbtWYB0TExOl6qlJPfmuXbvQvHnzXOXNmjXDzp07pYYjIiIiIiIiKrMk93S/fv0aRkZGucoNDQ3x6tWrImkUEX1aXCqMiIiIiD53w4YNU7ru+vXrla4rOemuUqUKgoODMW7cOLnyI0eOoFKlSlLDEdFnImvytOzPcw4rJyIiIiJSlfj4eLntEydOQEtLC3Xq1AEA3Lx5EykpKWjTpo2kuJKT7okTJ2LcuHF4+fIlWrduLTZm6dKlvJ+bPmvp8W+ReOYC9Fs2gYaRoaqboxT2cBMRERERfbB7927x+Zw5c6Cnp4eAgABoa2sDAFJSUjBs2DBUr15dUlzJSffw4cORkpKCefPmYe7cuQAABwcH/Pbbbxg8eLDUcERlRkb8W8QfOgbd2jVLdNL9qRPt7MuDiWXZerjTZbJP2h4iIiIiooKsXLkSp0+fFhNuANDW1sbMmTPh7u6OWbNmKR2rUEuGjR49GqNHj8bLly+hq6sLfX39woQhoiKgKImOGOWrgpYQEREREZUNqampiIiIQI0aNeTKIyIikJycLCmW5NnLASA9PR3Hjx/H7t27Ifyvx+r58+dITEwsTDgiIiIiIiKiEqNfv34YPnw41qxZg7CwMISFhWHNmjUYOnQo+vXrJymW5J7ux48fo0OHDnjy5AlSUlLQrl07GBgYYPHixUhOTsbq1aulhiSiMijnsPLsk6VxWDkRERERlWT+/v4wNzfH5MmTxc5lfX19eHt7Y/bs2ZJiSe7pnjBhAho0aIDY2Fjo6uqK5d26dcOJEyekhiOiMkQjU8j9EOQfREREREQlnaamJn788UfEx8fj8ePHiIiIQHx8PObOnQsNDWl915J7us+ePYu///4bWlpacuX29vZ49uyZ1HBE9IkUxwRqyvRms1ebiIiIiEozOzu7jzpectKdmZmJjIyMXOWRkZEwMDD4qMYQEeWl486NACCXyGf/CgCHe3IFBSIiIiL6eK1btxbnL1MkJCQEcXFx6NatG0JCQvKNJTnpbteuHVasWIHff/8dACCTyZCYmIjZs2ejY8eOUsMRERERERERlSh169YtsI6mpiZcXV0LrCc56V62bBlat26NmjVrIjk5Gf3798eDBw9gbm6OrVu3Sg1HRMUg51DyolxCTG697RzDyrO+FuVw8o47N37ozS6yiERERERE+Vu2bFmBdcqVK6dUPcn/x9ra2uLGjRsICgrC1atXkZmZiREjRmDAgAFyE6sREX1qWUPQj/f/SsUtISIiIqKyKDY2Ft27dy9wSHl2kpLutLQ0VKtWDQcPHsSwYcMwbNgwyY0kIlIGe7iJiIiISFUuXryIWbNmISIiAqmpqWJ5RkYGIiMj4ejoCAAIDw8vMJak/2c1NTWRkpICGWciJipVimPmciIiIiKismrUqFFwcHDAqFGjoK6uLpYnJiZi5syZ+Pbbb5WOJbkTafz48Vi0aBH++OMPyeuTEZVl2hXtYP/bT6puBhERERERfaR//vkHhw4dgo2NjVx5TEwMZsyYAW9vb6VjSc6aL168iBMnTuDo0aNwcXFBuXLl5Pbv3r1bakgiIiIiIiKiEiM1NRXa2toK90kd+S056TY2NkaPHj2kHkZERERERERUKmRkZCgst7CwyHNfXiQn3evXr5d6CBGVAeLyYNmXDMuxVBgRERERUVkQGxuLuXPn4uHDh2jRogV8fX2hpqaG58+fQ0dHB6ampkrHKvRN2TExMbh//z5kMhmqVq0KCwuLwoYiIpLjvjVA5bOWi7OnC4L4FYD4nMuSEREREZVdI0aMwLVr19CuXTssWbIEaWlpmD59OoKCgnDlyhVs2bJF6VhqUk/+9u1bDBo0CLa2tnBzc0OrVq1ga2uLgQMHIj4+Xmo4IirhNDIF+Ycg/yAiIiIiKmtOnDiBrVu3Yu3atfj555+xfft2AEC7du1w5swZSbEkJ91fffUVLl68iIMHDyIuLg7x8fE4ePAgrly5gpEjR0oNR0RERERERFSi6OnpwdjYGADg7OyMZ8+eAQAMDAzw5s0bSbEkJ92HDh3CunXr0L59exgaGsLAwADt27fH2rVrcejQIanhiIiIiIiIiEqUr7/+GsuXL4cgCChXrhxSUlIAfMiHK1euLCmW5NsmzczMYGRklKvcyMgIJiYmUsMRlRlpL18jbu9hGHftCM3yZqpuDhERERERFdKTJ0+wZ88enD59Gk5OTkhNTYWXlxeOHj2KjRs3SoolOemeMWMGJk6ciI0bN8La2hoAEB0dje+++w4zZ86UGo6ozMhMSsL7a2EwbP+FqptChdRx54dfoOkyWYG/HN23BuSaZO1wz8HF3EIiIiIi+hTi4+PRunVrcbtbt26oWLEiZs+ejYYNG0qKJTnp/u233/Dw4UPY29ujYsWKAD58CqCtrY2XL19izZo1Yt1r165JDU9EKiS3HFim/HJgOSdNS5fJPl3DiIiIiIg+od27dxdZLMlJd9euXYvs5ERERERERPT5cnBwwOPHj3OVjxkzBqtWrcLQoUOxYcMGuX2NGzfGhQsXxO2UlBT4+vpi69atSEpKQps2bfDrr7/Czs6uyNv79u1bTJgwAevXr1f6GMlJ9+zZs6UeQkQlnNirnb2nO1sPd2nr1c4a+s21tImIiIhKtsuXLyMjI0Pcvn37Ntq1a4devXqJZR06dJBLcrW0tORi+Pj44MCBAwgKCoKZmRkmTZoELy8vXL16Ferq6oVq14MHD7BkyRJEREQgNTVVLE9NTcX58+cREREBAAgJCSkwluSkm4jKjpzJdvYh5KUx2SYiIiKi0qV8+fJy2wsXLkTlypXh5uYmlmlra8PKykrh8fHx8QgICMCff/6Jtm3bAgA2bdqEChUq4Pjx42jfvn2h2jV06FBkZGSgcePGcon7+/fvceHCBbi6uiodi0k30WdGmfu2mWwTERER0cdISEjA27dvxW1tbW1oa2vne0xqaio2bdqEiRMnQpbt/9FTp07BwsICxsbGcHNzw7x582BhYQEAuHr1KtLS0uDh4SHWt7GxgbOzM86dO1fopPvGjRu4e/cu7O3t5cpfvnyJ33//HcuWLVM6luR1uomIiIiIiIjyU7NmTRgZGYmPBQsWFHjM3r17ERcXh6FDh4plnp6e2Lx5M06ePImlS5fi8uXLaN26tbhudnR0NLS0tHItX21paYno6OhCtz85ORn6+vq5ygVBkPtAQBns6Sb6TBR03zYRERERUVG5e/cubG1txe2CerkBICAgAJ6enrCxsRHL+vTpIz53dnZGgwYNYG9vj0OHDqF79+55xipMcpxdeHg4TE1Nc5WXL18e4eHhkmJJTrpPnToFd3d3qYcRERERERHRZ8LAwACGhoZK13/8+DGOHz9e4FJd1tbWsLe3x4MHDwAAVlZWSE1NRWxsrFxvd0xMDJo1a1a4xuND0p1fcl2xYkWkp6fj77//lrv/XBHJSXeHDh1ga2uLYcOGYciQIahQoYLUEEREnwRnMSciIiIqHdavXw8LCwt06tQp33qvX7/G06dPYW1tDQCoX78+NDU1cezYMfTu3RsAEBUVhdu3b2Px4sWFbk/r1q3z7C0XBAGZmZl48+YNWrduLTf7uiKS7+l+/vw5JkyYgN27d8PR0RHt27fH9u3b5aZRJyIiIiIiIlJGZmYm1q9fjyFDhkBD4//7hRMTE+Hr6ysu0XXq1Cl8+eWXMDc3R7du3QAARkZGGDFiBCZNmoQTJ07g+vXrGDhwIFxcXMTZzAsjNjYWcXFxiI2NzfWIi4sDAFhYWCA2NrbAWJJ7uk1NTeHt7Q1vb2/cuHED69atw9ixYzF69GgMGDAAI0aMQJ06dSRfFFFpJ9PUhKa1JWSamiprgzIzk2dJl8k+m2XBsnq8ARRrr3fHnRuL/RxEREREZc3x48fx5MkTDB8+XK5cXV0dt27dwsaNGxEXFwdra2t88cUX2LZtGwwMDMR6y5cvh4aGBnr37o2kpCS0adMGgYGBhV6jG4DSQ+OVqfdRE6nVrVsXU6dOhampKRYuXIh169bh119/RdOmTbF69WrUqlXrY8ITlSpa1pawmeWrknMXNEna55BYExEREVHp5OHhAUHBxL66urr466+/CjxeR0cH/v7+8Pf3L9J2Xb9+HUuXLsXdu3chk8lQo0YNfPvtt6hfv76kOIVaMiwtLQ07d+5Ex44dYW9vj7/++gsrV67EixcvEB4ejgoVKqBXr16FCU1ERERERESkUnv27EGjRo3w6tUrdO/eHV27dsWrV6/QuHFj7Nq1S1IsyT3d48ePx9atWwEAAwcOxOLFi+Hs7CzuL1euHBYuXAgHBwepoYmIPomOOzfKDa/nkmlERERElN2sWbMwe/ZszJgxQ658/vz5mD17Nnr06KF0LMlJ9927d+Hv748ePXpAS0tLYR0bGxuEhIRIDU1EVOzctwZ83H01pUzWfeZZcn7YwPvPiYiIiHJ78OCB3BrhWXr37o0ffvhBUizJ/3ueOHGi4KAaGgWuVUZERKr3qSaZIyIiIipNrK2tce7cOTg5OcmVnzt3TlyuTFmF7vC5e/cunjx5kmupsM6dOxc2JBERqVBWAq5o6P3hnoNV3DoiIiKiT8fb2xtjxozBnTt30Lx5c8hkMvz9999YuXIl5s6dKymW5KT7v//+Q7du3XDr1i3IZDJxlrmsRcMLWhiciD6OMsuCfU7LgVHh9a53ETKNTGy71FTVTSEiIiIqUb799luYm5vjp59+wi+//AIAcHJywm+//YbBg6V1RkhOuidMmABHR0ccP34clSpVwqVLl/D69WtMmjQJS5YskRqOiEhlspJOIf3DQg7brzX+qOOzrH14HkK6Gr6uvrbI2kpEREREn9agQYMwaNCgXB3NUklOus+fP4+TJ0+ifPnyUFNTg5qaGlq0aIEFCxbA29sb169fL1RDiEq71KgXeLX2T5iPHAQta8sij1/QWtxE2QX+NxYyjUwA7MUmIiIi+hiFTbazSE66MzIyoK+vDwAwNzfH8+fPUa1aNdjb2+P+/fsf1Rii0kxIS0Na1AsIaWmqbgoREREREX2ESpUqiT3cioSHhysdS3LS7ezsjLCwMFSqVAmNGzfG4sWLoaWlhd9//x2VKlWSGo6IiD6xvIbFExEREdEHPj4+cttpaWm4desWDh06hIkTJ0qKJTnpnjFjBt69ewcA+PHHH+Hl5YWWLVvCzMwM27ZtkxqOiIhKkOwJefbEPPC/iwDA+9SJiIjos+Dt7a2wfPXq1bh8+bKkWJKT7vbt24vPK1WqhLt37+LNmzcwMTH56LHuRERERERERCWVh4cHJk+ejICAAKWPKfQ63dmZmpoWRRgiUiDnBGrZJ03jsmAF47JYRWvtwxGcmZ2IiIg+Wzt27ICJiYmkY5RKurt37650wN27d0tqABH9P2XW4M7CZJuIiIiIqHjUq1dPbiI1QRAQHR2NV69e4bfffpMUS6mk28jISO5ke/bsgZGRERo0aAAAuHr1KuLi4iQl50SfK2US63SZTOzFZm924XCyMCIiIiIqrK5du8ptq6mpwcLCAu7u7qhataqkWEol3evXrxefT5kyBb1798bq1auhrq4O4MMyYmPGjIGhoaGkky9YsAC7d+/GP//8A11dXTRr1gyLFi1CtWrVxDqCIGDOnDn4/fffERsbi8aNG2PVqlWoVauWWCclJQW+vr7YunUrkpKS0KZNG/z666+ws7OT1B4iIiIiIiKiWbNmFVksyV1A69atg6+vr5hwA4C6ujomTpyIdevWSYoVGhqKsWPH4sKFCzh27BjS09Ph4eEhzo4OAIsXL8ayZcuwcuVKXL58GVZWVmjXrh0SEhLEOj4+PtizZw+CgoJw9uxZJCYmwsvLCxkZGVIvj4iIiIiIiKjISJ5ILT09Hffu3ZPrjQaAe/fuITMzU1Ks4OBgue3169fDwsICV69eRatWrSAIAlasWIHp06eLQ9c3bNgAS0tLbNmyBd988w3i4+MREBCAP//8E23btgUAbNq0CRUqVMDx48flZlsnUqWcE6IB8sPKOYSciIiIiKjskZx0Dxs2DMOHD8fDhw/RpEkTAMCFCxewcOFCDBs27KMaEx8fD+D/Z0MPDw9HdHQ0PDw8xDra2tpwc3PDuXPn8M033+Dq1atIS0uTq2NjYwNnZ2ecO3eOSTcRERERERGpjOSke8mSJbCyssLy5csRFRUFALC2tsbkyZMxadKkQjdEEARMnDgRLVq0gLOzMwAgOjoaAGBpaSlX19LSEo8fPxbraGlp5Zq23dLSUjw+p5SUFKSkpIjb2YeqExWWmq4u9OrVhpqurqqbQkREREREJYTkpFtNTQ2TJ0/G5MmT8fbtWwCQPIGaIuPGjUNYWBjOnj2ba58sx7BbQRByleWUX50FCxZgzpw5hW8skQKa5c1QfuQgVTeDiIiIiIhKEMlJd3ZFkWwDwPjx47F//36cPn1absZxKysrAB96s62trcXymJgYsffbysoKqampiI2NlevtjomJQbNmzRSeb9q0aZg4caK4/ezZM9SsWbNIroWIiIiIiIpO4H9jFS4DmlX2dfW1KmoZlXW3b9/GX3/9hevXr+PVq1fQ1dWFg4MDWrZsiY4dO0JHR0epOCpdwFYQBIwbNw67d+/GyZMn4ejoKLff0dERVlZWOHbsmFiWmpqK0NBQMaGuX78+NDU15epERUXh9u3beSbd2traMDQ0FB8GBgbFcHVERERERFRYgf+NxdqHIwqst/bhCAT+NxaB/439BK2iz8GRI0fQvHlz1K9fH5s3bwYAODk5wdzcHP/++y9Gjx4NGxsb+Pr64s2bNwXG+6ie7o81duxYbNmyBfv27YOBgYF4D7aRkRF0dXUhk8ng4+OD+fPnw8nJCU5OTpg/fz709PTQv39/se6IESMwadIkmJmZwdTUFL6+vnBxcRFnMyci+hxk/bMh08iEij9TJSIiIiqV/P39sWbNGkyYMAGHDx+GkZGRwnqXLl3C2rVrUaNGDbx48SLfmCpNun/77TcAgLu7u1z5+vXrMXToUADA5MmTkZSUhDFjxiA2NhaNGzfG0aNH5Xqnly9fDg0NDfTu3RtJSUlo06YNAgMD5dYSJ1KVnEuFZS0TlvWcS4UREREREZUM3bt3x/jx4wus16hRIzRq1AgzZ84ssK5Kk24hW/KRF5lMBj8/P/j5+eVZR0dHB/7+/vD39y/C1hEREREREdHnxNbWVlL9ihUrFlhHUtL97t07bNmyBefOnUN0dDRkMhksLS3RvHlz9OvXD+XKlZPUQCIiIiIiopIo+wRuH27daqrqJtEnFBoamu9+Nzc3pWMpnXTfvXsX7dq1w/v37+Hm5oaKFStCEATExMTgu+++g5+fH44ePcpZwImI/mftwxHiTKtDK60qVIyck8Jk/+PPGVuJiIiIikfr1q0VLkOdNVo7MzNT6VhKJ91jx45Fq1atsGHDBmhpacntS01NxdChQzF27FiEhIQofXKisiTlSSSiF/wMq2kToF3RLs97ubO+8l5uIiIiopJB0YfcnJT08xYbGyu3nZaWhlu3bmH69OmYPXu2pFhKJ90XL17ElStXciXcAKClpYXvv/8ejRo1knRyIiIiIiIiopLG0NAwV5m7uzuWLl2KMWPGwMPDQ+lYSifdJiYmePDgQZ7Dxx8+fAgTExOlT0xERB8v+xB2IiIiIipeurq6+OeffyQdo3TSPXLkSAwZMgQzZsxAu3btYGlpCZlMhujoaBw7dgzz58+Hj4+P1DYTERERERERlSgbNmyQ2xYEAS9evEBAQACaNWsmKZbSSbefnx90dXWxbNkyTJ48WbyhXBAEWFlZYerUqZg8ebKkkxMRkWJZM6byfjIiIqLiw7+3lJdvv/1WbjstLQ3v379Hq1atsHXrVkmxJC0ZNmXKFEyZMgXh4eGIjo4GAFhZWcHR0VHSSYmIiIiIiIhKqjdv3uQqe/z4MUaNGoUrV67A09NT6ViSku4sjo6OTLSJiIiIiIjos2Fvb49Fixahb9++kpJuSeMo7t27h/Xr14s3jv/zzz8YPXo0hg8fjpMnT0prMREREREREVEpkpCQgGfPnkk6Rume7uDgYHTp0gX6+vp4//499uzZg8GDB6NOnToQBAHt27fHX3/9hdatW0tuOBFRWZe1/ufX1dequCVERERlF//eUlGZM2eO3HbWRGo7d+5Ep06dJMVSOun+4Ycf8N133+HHH39EUFAQ+vfvj9GjR2PevHkAgOnTp2PhwoVMuomIiIiIiKhU27dvn9y2mpoaLCwsMHnyZIwfP15SLKWT7jt37mDjxo0AgN69e2PQoEHo0aOHuL9fv34ICAiQdHIios9N1rra/ASeiIiIqOS6du1akcUq1Nz4ampq0NHRgbGxsVhmYGCA+Pj4omoXERGVYGsfjhCH8BERERFR3pTu6XZwcMDDhw9RpUoVAMD58+dRsWJFcf/Tp09hbW1d9C0kKiXUjQxh1Kkd1I0MVd0UIiIiIspD1ofGXJ+b8tO6dWsIgpDn/pCQEKVjKZ10jx49GhkZGeK2s7Oz3P4jR47wfm76rGkYGcLYy0PVzaBSgsPMiYiIiEquunXrym2npaUhLCwMN2/exODBgyXFUjrpHjVqVL77syZUIyIiIiIiIirNli1bprB8/vz5ePnypaRYHE9BREREREREpIQ+ffpgw4YNko5RuqebiPKmkSnIfQUAjf/dA6IhCEiXycRtIiIiIiIqfTIzM7Ft2zZoaWlJOo5JNxGRCmXd2w0AQyutUnFriIiIiAgAKlWqJDeRmiAIeP36NZKSkrB69WpJsZh0ExFRoWX/0ICTwhERUUnGpS5LJj8/P8yZM0euzNLSEtHR0QA+JLtz5szB77//jtjYWDRu3BirVq1CrVq1xPopKSnw9fXF1q1bkZSUhDZt2uDXX3+FnZ1dodvl4+Mjt52WloZbt27h5cuX6N+/v6RYTLqJiEqI0r6ECWdkJyKi/ORMemUamRDS1cSv2fFvyeelVq1aOH78+P+1d//BUdSH/8dflxy58CMEkphfNobYga8yl6qFCkZbYomh6QCD1GL16w9siu0QqDEwKuNYMtZCa0fAicXBDCVAPgx2tHT6g1GCFCxS0WbQEuHDgAlCmByRGMIP01wut58/MNu7/CABbrN3yfMx85693X3v3nshl+SV93vfa65HR0ebr1988UWtWrVKFRUVmjBhgl544QXdc889OnLkiOLi4iRdCsh/+ctftHXrViUmJmrJkiWaOXOmqqurg851JX7+85/3uH39+vVatGiRfv/73/f7XJH3Wx0QpvzedrU1eOT3ttvdFAAAgIhWfqzQ7iZgADmdTqWmpprluuuuk3Spl3vNmjV69tlnNXfuXLndbm3cuFFffvmltmzZIklqaWnR+vXr9dJLLykvL0+33XabKisrdfDgwaAgHyq5ubl64403rugYQjdwDZx+wyz+htM6vmK1Ojyn5TQMJk7DkFV+rJAhfAAAW3X+LOJnUmQ4evSo0tPTlZWVpR/96Eeqra2VJNXV1cnj8Sg/P9+s63K5NG3aNO3bt0+SVF1drfb29qA66enpcrvdZp1QOX36tFatWqXk5OQrOo7h5cAVCpqh3P/fGcqjvwrZ0YRtAAAADHHnz5/XuXPnzHWXyyWXy9Wt3pQpU7Rp0yZNmDBBp0+f1gsvvKCcnBx98skn5n3dKSkpQcekpKTos88+kyR5PB7FxMRo7Nix3ep0Hn81oqOjgyZS65SUlKRNmzZd0bkI3QAASzAzOwAAQ9fEiROD1pcvX67S0tJu9QoKCszX2dnZuuOOO/T1r39dGzdu1NSpUyVJDocj6BjDMLpt66o/dS5n27ZtQetRUVFKTk7WN77xDcXGxl7RuQjdQD/19SxueriB3gVOEhc4aU7g5DmX29eJiXUAIPJU1BZF7CShuHqHDh3S9ddfb6731Mvdk5EjRyo7O1tHjx7VnDlzJF3qzU5LSzPrNDY2mr3fqamp8nq9am5uDurtbmxsVE5OzlW3f/bs2Vd9bFd85QN9CLxv2+k3zPu1uW8bAAAgMjAx28CLi4vT6NGjzdLf0N3W1qbDhw8rLS1NWVlZSk1NVVVVlbnf6/Vqz549ZqCeNGmShg0bFlSnoaFBNTU1VxW6jx49Kq/X2+/6NTU1fdYhdGPI6AzNsT6/WUa1d2hUe4fGeH3mMvD1qPYOjfJ1KLbDr1j/pULYBgAAAEJj6dKl2rNnj+rq6rR//37dd999OnfunB599FE5HA4VFxdrxYoV2rZtm2pqajR//nyNGDHCfFZ2fHy8CgsLtWTJEr3zzjs6cOCAHnroIWVnZysvL++K27N7926NHz9eK1euNO8b76q9vV1//etfdd999wUNj+8Nw8sx6HUdFh4YmJ2GId813OsBAAAA4OrV19frgQce0JkzZ3Tddddp6tSpev/995WZmSlJeuqpp9Ta2qqFCxequblZU6ZM0Y4dO8xndEvS6tWr5XQ6NW/ePLW2tmr69OmqqKi4qmd0L1iwQNnZ2Xr++ef13HPPmTOhJyQkqLW1VadOndLHH3+sxMRELVy4UJs3b+7znIRuDFq9he3OJWEbAAAAsNfWrVsvu9/hcKi0tLTHSdg6xcbGqqysTGVlZSFp09SpU7V9+3adPHlSO3fu1IEDB/T5559rzJgxuvXWW/XrX/9a06ZN6/dEbYRuRLT+9GIHLgEAAACgPzIyMvTYY4/pscceu6bzcE83AAAAAAAWIXQDAAAAAGARhpcj4gQ9J5v7tQEAAACEMXq6gRCJSUxQ5vwHFZOYYHdTAAAAAIQJerqBEHGOGK4xt2VLknw2twUAAABAeCB0AwAAAAiJitoiSZLD6Zfhi5LD6ReDazHU8QkAAAAAAMAi9HQjYnR9JrcUPIEak6cBAAAACDeEbgAAAABXpaK2iKHkQB/4VAAAAAAAYBF6uhH2ug4r7xxS3vmaYeUAAAAAwhU93UCI+L5s1dkDB+X7stXupgAAAAAIE4RuhCWn3+hejOASbrxNX+izii3yNn1hd1OAQav8WKH5OBoAAIBIQOgGAAAAAMAihG4AAAAAACxC6AYAAAAAwCKEbgAAAAAALELoBgAAAADAIoRuAAAAAAAsQugGAAAAAMAihG4AAAAAACzitLsBQCCn3whaSpLTMIKWAAAAABAp6OkGAAAAAMAihG4AQMQpP1aoitoiu5sBAADQJ4aXAyESm5Ks//dMsWISE+S3uzEAAAAAwgKhGwiRqJhhik1LkSRCNwAAAABJhG6Eia4TqAVOmuY0DPkcDlvaBQAAAADXgtCNARc0M3mXkN11hnLCNgAAAIBIxkRqAAAAAABYhJ5uDJi+nsFNrzYAAACAwcbWnu53331Xs2bNUnp6uhwOh/70pz8F7TcMQ6WlpUpPT9fw4cOVm5urTz75JKhOW1ubFi9erKSkJI0cOVKzZ89WfX39AF4FAAAAAAA9szV0X7x4UbfccoteeeWVHve/+OKLWrVqlV555RV9+OGHSk1N1T333KPz58+bdYqLi7Vt2zZt3bpVe/fu1YULFzRz5kx1dHQM1GUAAAAAANAjW4eXFxQUqKCgoMd9hmFozZo1evbZZzV37lxJ0saNG5WSkqItW7bopz/9qVpaWrR+/Xpt3rxZeXl5kqTKykplZGRo586dmjFjxoBdC9Deck5N+z5QYs7tcoyJt7s5AAAAAMJA2E6kVldXJ4/Ho/z8fHOby+XStGnTtG/fPklSdXW12tvbg+qkp6fL7XabdYCB0n7uvE6/9Y7az53vuzIAAACAISFsJ1LzeDySpJSUlKDtKSkp+uyzz8w6MTExGjt2bLc6ncf3pK2tTW1tbeZ64HB1AAAAAL2rqC2SJDmcfoVxHx4QNsL+U+LoMqO1YRjdtnXVV52VK1cqPj7eLBMnTgxJWwEAAAAACBS2oTs1NVWSuvVYNzY2mr3fqamp8nq9am5u7rVOT5YtW6aWlhazHDp0KMStRyCn3wguRnABAAAAgMEqbEN3VlaWUlNTVVVVZW7zer3as2ePcnJyJEmTJk3SsGHDguo0NDSopqbGrNMTl8ul0aNHmyUuLs66CwEAAAAADFm23tN94cIFHTt2zFyvq6vTRx99pISEBN1www0qLi7WihUrNH78eI0fP14rVqzQiBEj9OCDD0qS4uPjVVhYqCVLligxMVEJCQlaunSpsrOzzdnMYQ+n3+j2urNXu3Pp6+M2AQDoS/mxQhm+S38/fvymcptbAwAA0J2toftf//qX7r77bnO9pKREkvToo4+qoqJCTz31lFpbW7Vw4UI1NzdrypQp2rFjR1DP9OrVq+V0OjVv3jy1trZq+vTpqqioUHR09IBfDwAAAAAAgWwN3bm5uTIuc0+vw+FQaWmpSktLe60TGxursrIylZWVWdBCAAAAIDJV1BbJ4fTL8EWZy0Bd9zFiCLBG2D4yDAAAAMDl9RaseZwXED74JAIAAAAAYBF6ugEAAAD0KrA3HcCV45MDAAAAAIBFCN1AiIzIuF63vLxSIzKut7spAAAAQERYuXKlvvWtbykuLk7JycmaM2eOjhw5ElRn/vz5cjgcQWXq1KlBddra2rR48WIlJSVp5MiRmj17turr6wfyUnpF6AYAAAAA2GLPnj0qKirS+++/r6qqKvl8PuXn5+vixYtB9b73ve+poaHBLNu3bw/aX1xcrG3btmnr1q3au3evLly4oJkzZ6qjo2MgL6dH3NMNABgUyo8V8sgbAAAizFtvvRW0vmHDBiUnJ6u6ulrf+c53zO0ul0upqak9nqOlpUXr16/X5s2blZeXJ0mqrKxURkaGdu7cqRkzZlh3Af1ATzcAAAAAICy0tLRIkhISEoK27969W8nJyZowYYIWLFigxsZGc191dbXa29uVn59vbktPT5fb7da+ffsGpuGXQU83AAAAEEEqaosk8SxuhLfz58/r3Llz5rrL5ZLL5brsMYZhqKSkRHfddZfcbre5vaCgQD/84Q+VmZmpuro6Pffcc/rud7+r6upquVwueTwexcTEaOzYsUHnS0lJkcfjCe2FXQVCNwAAABABOsP2QL4fwR5Xa+LEiUHry5cvV2lp6WWPWbRokf79739r7969Qdvvv/9+87Xb7dbkyZOVmZmpv/3tb5o7d26v5zMMQw6H48obH2KEbgAAAADm3BgSvei4docOHdL11//3qT599XIvXrxYf/7zn/Xuu+/qa1/72mXrpqWlKTMzU0ePHpUkpaamyuv1qrm5Oai3u7GxUTk5OddwFaHBJwkAAAAAEFJxcXEaPXq0WXoL3YZhaNGiRfrjH/+oXbt2KSsrq89zNzU16eTJk0pLS5MkTZo0ScOGDVNVVZVZp6GhQTU1NYRuYDBpO/OFjm/4H7Wd+cLupgBDWvmxwgEfggkAAK5OUVGRKisrtWXLFsXFxcnj8cjj8ai1tVWSdOHCBS1dulT//Oc/dfz4ce3evVuzZs1SUlKS7r33XklSfHy8CgsLtWTJEr3zzjs6cOCAHnroIWVnZ5uzmduJ4eVAiHS0tqrloxol5+Uq2u7GAAAAABHg1VdflSTl5uYGbd+wYYPmz5+v6OhoHTx4UJs2bdLZs2eVlpamu+++W6+//rri4uLM+qtXr5bT6dS8efPU2tqq6dOnq6KiQtHR9v9mTugGAAAAANjCMIzL7h8+fLjefvvtPs8TGxursrIylZWVhappIcPwcgAAAAAALEJPN0LC6TeClwF/sXIahnwOR9A2ALBa4Cy882/8nc2tAQAAQxWhGwAw6HVOrOZw+mX4ovT4TeU2twgAAAwVDC8HAAAAAMAi9HTjmvQ2rLxz6XM47GkYAAAAAIQBeroBAAAAALAIoRsAAAAAAIsQugEAAAAAsAihGwAAAAAAixC6gRCJGuaUKzVZUcOYnxAAAADAJaQDIERiU1N007InJUk+m9sCAAAAIDzQ0w0AAAAAgEXo6QYADDnlxwpl+C793Xn+jb+zuTUAAGAwo6cbAAAAAACL0NMNAAAAhLGK2iI5nH7RXwZEJj65AAAAAABYhNANAAAAAIBFCN0AAAAAAFiE0A2EyH88p/W/K1frP57TdjcFAAAAQJhgIjX0yuk3gpdG8NLncMhpGN2WQ5W/3ac2T6P87T67mwIAAAAgTNDTDQAAAACARQjdAAAAAABYhOHlCNI5lDzwdddh5QAAAACA/qGnGwAAAAAAi9DTDUndJ02Tgnu4fQ6HLe0CAAAAgEhGTzcAAAAAABYhdAMAAAAAYBFCNwAAAAAAFiF0AwCGtIraIlXUFtndDAAAMEgxkdoQ1J/HgvkcDiZQAwAAsFhFbZEcTr8MX5S5lBS0jX4yILIRuoeArjOTBz5vuzNYE7CvXfTw4Yq/1a3o4cPtbgoAAACAMEHoHqT625uN0HElJWjcY/9fkuSzuS0AACB8dd7SQi82MDTwKQcAAAAAwCL0dAMAIKn8WGHQPZWP31Rud5MADDJM2ggMTYTuQabr/dtS92HlAIC+dYZwSZp/4+9sbg2AcNXbRGidmBANAKEbAAAAg1pgMA7UNSwH1nkk/pQkyT/MJ3+701wG8g/zScockGsAELn4cxsAAAAAABahpzsC9Wdm8k48DgwAAAAA7EPojiB93a9NsAYAAACA8MLwciBEvjx5Sh8/sUxfnjxld1MAAAAAhAl6uiNA1x7uwCHk9HADAAAAQPiipxsAAAAAAIsQugEAAAAAsAihGwAAAAAAixC6AQAAAACwCKEbAAAAAACLELoBAAAAALDIoAnda9euVVZWlmJjYzVp0iT94x//sLtJAAAAAIA+DPYsNyie0/3666+ruLhYa9eu1Z133ql169apoKBAhw4d0g033GB38wAAEeKR+FOKGeaTt91pLiXJ3zTnUoW07fY1DgCAQWgoZLlB0dO9atUqFRYW6ic/+YluvvlmrVmzRhkZGXr11VftbhoAAAAAoBdDIctFfE+31+tVdXW1nnnmmaDt+fn52rdvX4/HtLW1qa2tzVxvaWmRJDU0NFjX0GvQcfbspReGEbyUJEPyOYKXga5kX2Cdy+3rz/HX+v52t/9qju84f0HSpaWv5eyAv39/z2338QP1f3P+8/9ITr/ki5Kcfvm++pwHHhdUR+qxzuXev+vxpoD37XOfxcd3XlN//2267rui97+aa7P7+C77Tl/0yhntk6/Dby6DqjTlytfh/Gpf8I/Qzm2dy5jkzfL5fMF1nE75fL5uy2vZ19O5vY0P96uNl9sXWMfKa7Pq+P6ee6D/b0Ldfjv+bUN9fODX67V+bfZ2/PnmjCv+nnK6zRvwHr18T4j26XzzFX7f7Of7R+T31BB/Tw634/vze0KnkP4uJcnncJj7Or56XV9fr3DUmalaWlo0evRoc7vL5ZLL5QqqezVZLiIZEe7UqVOGJOO9994L2v6rX/3KmDBhQo/HLF++3NClL20KhUKhUCgUCoVCoVhcli9fHpIsF4kivqe7kyPgrz+SZBhGt22dli1bppKSEnPd5/Pp8OHDysjIUFTUoBhxDwAAAAADzu/368SJE5o4caKczv/Gza693IGuJMtFoogP3UlJSYqOjpbH4wna3tjYqJSUlB6P6Wlow5133mlZGwEAAABgqOjvBGhXk+UiUcR368bExGjSpEmqqqoK2l5VVaWcnBybWgUAAAAAuJyhkuUivqdbkkpKSvTwww9r8uTJuuOOO/Taa6/pxIkT+tnPfmZ30wAAAAAAvRgKWW5QhO77779fTU1Nev7559XQ0CC3263t27crMzPT7qYBAAAAAHoxFLKcwzACnz8FAAAAAABCJeLv6QYAINIYhqG8vDzNmDGj2761a9cqPj5eJ06csKFlAAAg1AjdAAAMMIfDoQ0bNmj//v1at26dub2urk5PP/20Xn755X7P/Npf7e3tIT0fAADoH0I3AAA2yMjI0Msvv6ylS5eqrq5OhmGosLBQ06dP1+23367vf//7GjVqlFJSUvTwww/rzJkz5rFvvfWW7rrrLo0ZM0aJiYmaOXOmPv30U3P/8ePH5XA49Ic//EG5ubmKjY1VZWWlHZcJAMCQxz3dAADYaM6cOTp79qx+8IMf6Je//KU+/PBDTZ48WQsWLNAjjzyi1tZWPf300/L5fNq1a5ck6c0335TD4VB2drYuXryoX/ziFzp+/Lg++ugjRUVF6fjx48rKytK4ceP00ksv6bbbbpPL5VJ6errNVwsAwNBD6AYAwEaNjY1yu91qamrSG2+8oQMHDmj//v16++23zTr19fXKyMjQkSNHNGHChG7n+Pzzz5WcnKyDBw/K7XaboXvNmjV64oknBvJyAABAFwwvBwDARsnJyXr88cd18803695771V1dbX+/ve/a9SoUWa56aabJMkcQv7pp5/qwQcf1I033qjRo0crKytLkrpNvjZ58uSBvRgAANDNoHhONwAAkczpdMrpvPQj2e/3a9asWfrNb37TrV5aWpokadasWcrIyFB5ebnS09Pl9/vldrvl9XqD6o8cOdL6xgMAgMsidAMAEEa++c1v6s0339S4cePMIB6oqalJhw8f1rp16/Ttb39bkrR3796BbiYAAOgnhpcDABBGioqK9MUXX+iBBx7QBx98oNraWu3YsUM//vGP1dHRobFjxyoxMVGvvfaajh07pl27dqmkpMTuZgMAgF4QugEACCPp6el677331NHRoRkzZsjtduuJJ55QfHy8oqKiFBUVpa1bt6q6ulput1tPPvmkfvvb39rdbAAA0AtmLwcAAAAAwCL0dAMAAAAAYBFCNwAAAAAAFiF0AwAAAABgEUI3AAAAAAAWIXQDAAAAAGARQjcAAAAAABYhdAMAAAAAYBFCNwAAAAAAFiF0AwAAAABgEUI3AAAAAAAWIXQDAAAAAGARQjcAAAAAABb5P0JmqHlNLcfLAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%capture --no-display\n",
    "# %tb\n",
    "volcano = 'Merapi'\n",
    "period = '20060101:20070101'\n",
    "lines = f'''\n",
    "plot_precipitation.py {volcano} --style bar --period={period} --roll 30 --bins 3\n",
    "'''\n",
    "lines = lines.splitlines()\n",
    "for line in lines[1:]:\n",
    "    line = line.strip()\n",
    "    cmd=line.strip().split(' ')\n",
    "    sys.argv = cmd\n",
    "    plot_precipitation.main()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9aa0bea-5108-4c58-949d-495302a9ea68",
   "metadata": {},
   "source": [
    "# Plotting by strength\n",
    "In the following, precipitations are order in ascending order based on Precipitation value, plotted on a logarithmic scale."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "cfc7e9b0-987f-49fd-a5c2-06b9a390bd73",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%capture --no-display\n",
    "# %tb\n",
    "volcano = 'Merapi'\n",
    "period = '20060101:20070101'\n",
    "lines = f'''\n",
    "plot_precipitation.py {volcano} --style strength --period={period} --bins 3 --log\n",
    "'''\n",
    "lines = lines.splitlines()\n",
    "for line in lines[1:]:\n",
    "    line = line.strip()\n",
    "    cmd=line.strip().split(' ')\n",
    "    sys.argv = cmd\n",
    "    plot_precipitation.main()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98733272-cec1-41b4-80ae-de627da9530f",
   "metadata": {},
   "source": [
    "# Annual plot\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73c399c1-1e16-41f0-9e10-15cb57df9ebe",
   "metadata": {},
   "source": [
    "The annual plot will show a set of lines divided by year, for better clarity we will expand the time frame, from **01 January 2006** to **01 January 2010**. On the right side of the main plot, we can see the cumulative precipitation for each year.\n",
    "\n",
    "We also add the **La Nina** event."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "906cab54-3033-46e1-b6fc-e77908072720",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x1300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%capture --no-display\n",
    "# %tb\n",
    "volcano = 'Merapi'\n",
    "period = '20060101:20100101'\n",
    "cmd = f'plot_precipitation.py {volcano} --style annual --period {period} --roll 30 --bins 3 --elnino'.strip().split(' ')\n",
    "sys.argv = cmd\n",
    "plot_precipitation.main()\n",
    "print(cmd)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b1f07126-f35a-4e77-b734-70e610089066",
   "metadata": {},
   "source": [
    "# Map\n",
    "\n",
    "Additionally, we have the capability to visualize precipitation data as a map overlay, representing either the rate of precipitation or the cumulative total (yet to implement) across a specific area.\n",
    "\n",
    "We can choose the area in 3 ways:\n",
    "- Use the Volcano Name positional argument which will show the area centered around said volcano of a 4x4$^\\circ$ extension.\n",
    "- Use the argument `--lalo` with the following sintax `14.5:15.5:35.4:37.4`\n",
    "- Use the `--polygon` argument with the following sintax `'POLYGON((-80.4699 25.5823,-79.9622 25.5823,-79.9622 25.9211,-80.4699 25.9211,-80.4699 25.5823))'`\n",
    "\n",
    "The polygon can be retrieved from the [ASF Search](https://search.asf.alaska.edu/#/) website.\n",
    "\n",
    "A series of option are available for better displaying:\n",
    "- `--interpolate`: increase the resolution of the grid by interpolating precipitatin value\n",
    "- `--isolines`: increase the number of isolines\n",
    "- `--colorbar`: set the color of the colorbar\n",
    "- `--vlim`: set the min and max values of precipitation "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5844a985-76ac-4a82-a979-309a4c9eb155",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%capture --no-display\n",
    "# %tb\n",
    "volcano = 'Merapi'\n",
    "period = '20060101:20070101'\n",
    "lines = f'''\n",
    "plot_precipitation.py {volcano} --style map --period={period} --interpolate 3\n",
    "'''\n",
    "lines = lines.splitlines()\n",
    "for line in lines[1:]:\n",
    "    line = line.strip()\n",
    "    cmd=line.strip().split(' ')\n",
    "    sys.argv = cmd\n",
    "    plot_precipitation.main()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f8110d69-71ab-42aa-94b2-705b90e8fad0",
   "metadata": {},
   "source": [
    "# Help command\n",
    "\n",
    "For more options check the help options down below or execute the command: `plot_precipitation.py --h` from terminal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "4f2019e2-618d-4d98-b344-2f434e9e8886",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "usage: plot_precipitation.py [-h] [--start-date YYYYMMDD]\n",
      "                             [--end-date YYYYMMDD]\n",
      "                             [--period YYYYMMDD:YYYYMMDD, YYYYMMDD,YYYYMMDD]\n",
      "                             [--latitude MIN [MAX ...]]\n",
      "                             [--longitude MIN [MAX ...]]\n",
      "                             [--lalo LATITUDE:LONGITUDE, LATITUDE,LONGITUDE]\n",
      "                             [--polygon POLYGON] [--name NAME]\n",
      "                             [--add-event [YYYYMMDD, YYYY-MM-DD ...]] [--log]\n",
      "                             [--bins BINS] [--roll ROLL] [--elnino]\n",
      "                             [--vlim VMIN VMAX] [--interpolate GRANULARITY]\n",
      "                             [--isolines LEVELS] [--cumulate]\n",
      "                             [--average TIME_PERIOD] [--colorbar COLORBAR]\n",
      "                             [--style {daily,weekly,monthly,yearly,map,bar,annual,strength}]\n",
      "                             [--download] [--list] [--check]\n",
      "                             [--save [FOLDERNAME ...]] [--dir PATH]\n",
      "                             [--no-show] [--use-ssh] [--parallel PARALLEL]\n",
      "                             [--setup SETUP]\n",
      "                             [positional ...]\n",
      "\n",
      "Plot precipitation data from GPM dataset for a specific location at a given date range\n",
      "\n",
      "positional arguments:\n",
      "  positional            Volcano name or coordinates\n",
      "\n",
      "options:\n",
      "  -h, --help            show this help message and exit\n",
      "  --start-date YYYYMMDD\n",
      "                        Start date of the search\n",
      "  --end-date YYYYMMDD   End date of the search\n",
      "  --period YYYYMMDD:YYYYMMDD, YYYYMMDD,YYYYMMDD\n",
      "                        Period of the search\n",
      "  --latitude MIN [MAX ...]\n",
      "                        Latitude\n",
      "  --longitude MIN [MAX ...]\n",
      "                        Longitude\n",
      "  --lalo LATITUDE:LONGITUDE, LATITUDE,LONGITUDE\n",
      "                        Latitude and longitude\n",
      "  --polygon POLYGON     Poligon of the wanted area (Format from ASF Vertex Tool https://search.asf.alaska.edu/#/)\n",
      "  --name NAME           Name of the volcano\n",
      "  --add-event [YYYYMMDD, YYYY-MM-DD ...]\n",
      "                        Add event to the time series\n",
      "  --log                 Enable logaritmic scale\n",
      "  --bins BINS           Number of bins for the histogram (default: 1)\n",
      "  --roll ROLL           Rolling average (default: 90)\n",
      "  --elnino              Plot Nino/Nina events\n",
      "  --vlim VMIN VMAX      Velocity limit for the colorbar (default: None)\n",
      "  --interpolate GRANULARITY\n",
      "                        Interpolate data\n",
      "  --isolines LEVELS     Number of isolines to be plotted on the map\n",
      "  --cumulate            Cumulate data\n",
      "  --average TIME_PERIOD\n",
      "                        Average data, default is daily\n",
      "  --colorbar COLORBAR   Colorbar\n",
      "  --style {daily,weekly,monthly,yearly,map,bar,annual,strength}\n",
      "                        Choose plot type\n",
      "  --download            Use ssh\n",
      "  --list                List volcanoes\n",
      "  --check               Check if the file is corrupted\n",
      "  --save [FOLDERNAME ...]\n",
      "                        Save the plot\n",
      "  --dir PATH            Specify path to download the data, if not specified, the data will be downloaded either in $WORKDIR or $HOME directory\n",
      "  --no-show             Do not show the plot\n",
      "  --use-ssh             Use ssh\n",
      "  --parallel PARALLEL   Number of parallel downloads\n",
      "  --setup SETUP         Setup environment\n",
      "\n",
      "Date format: YYYYMMDD\n",
      "\n",
      "Example:\n",
      "\n",
      "  Create a bar plot with a rolling average of 30 days, 3 bins (colors divided by ascending values), on a log scale for the precipitation data of Merapi volcano (if eruptions are included in the date range, they will be plotted), default start date is 20000601 and default end date is 20240601:\n",
      "    plot_precipitation.py Merapi --style bar --roll 30 --bins 3 --log\n",
      "\n",
      "  Create a bar plot ordered by strength for the precipitation data of a specific location at a given date range and save (If path not specified, the data will be downloaded either in PRECIP_PRODUCTS_DIR, /Users/giacomo/onedrive/scratch/precip_productsor /Users/giacomo/precip_products):\n",
      "    plot_precipitation.py --style strength --lalo 19.5:-156.5 ---period 20190101:20210929 --save\n",
      "\n",
      "  Create a 'Line' plot for the precipitation data of a specific location at a given date range ordered by year, with a rolling average of 10 days and 2 binsand add 2 events to the time series:\n",
      "    plot_precipitation.py --style annual --start-date 20190101 --end-date 20210929 --latitude 19.5 --longitude -156.5 --roll 10 --bins 2 --add-event 20200929 20210929\n",
      "\n",
      "  Add single events and el niño/niña events to the time series:\n",
      "    plot_precipitation.py --style strength --lalo 19.5:-156.5 ---period 20190101:20210929 --add-event 20200929 20210929 --elnino\n",
      "\n",
      "  Create a map plot for the precipitation data of a specific location at a given date range:\n",
      "    plot_precipitation.py --style map --end-date 20210929 --polygon 'POLYGON((113.4496 -8.0893,113.7452 -8.0893,113.7452 -7.817,113.4496 -7.817,113.4496 -8.0893))'\n",
      "\n",
      "  Add limit to the scale of the colorbar and colorbar style:\n",
      "    plot_precipitation.py --style map --end-date 20210929 --lalo 19.5:20.5,-155.5:-156.5 --vlim -3 3 --colorbar 'RdBu'\n",
      "\n",
      "  Download the precipitation data:\n",
      "    plot_precipitation.py --download\n",
      "\n",
      "    plot_precipitation.py --download 20190101 20210929 --dir '/home/user/Downloads'\n",
      "  \n",
      "  List all the volcanoes:\n",
      "    plot_precipitation.py --list\n",
      "\n",
      "  Check if the files are corrupted:\n",
      "    plot_precipitation.py --check\n"
     ]
    }
   ],
   "source": [
    "!plot_precipitation.py --h"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "miniconda3",
   "language": "python",
   "name": "miniconda3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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 },
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