{ "cells": [ { "cell_type": "markdown", "id": "bb7f7105-eafd-440a-ba0e-73b344bdb7eb", "metadata": {}, "source": [ "# Time Series to Images (Ts2Img)\n", "\n", "The Ts2Img module transfers observations from a time series data set into an image stack. The advantage of the image format is, that all observations at a time can be loaded at once. The image format is therefore preferred over time series when loading data for large areas over a short time period." ] }, { "cell_type": "markdown", "source": [ "## Source and target grid\n", "The following plot shows how the input data is organised spatially. Blue dots are locations where a time series in the source data set is available. The black raster are the pixels of the target grid cells (where we want to transfer the time series to).\n", "\n", "For this example, the source grid is the subgrid for Austria of the 12.5 km WARP Grid (used for ASCAT soil moisture data). The target grid is a gap-free 0.1 degree regular raster." ], "metadata": { "collapsed": false, "pycharm": { "name": "#%% md\n" } }, "id": "3d51ebaa1a19516b" }, { "cell_type": "code", "execution_count": 1, "outputs": [ { "data": { "text/plain": "" }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" }, { "data": { "text/plain": "
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axT537hxSU1MxZsyYOrqaNm1qswsPD3ebd+vWraHT6WC1Wu3sgoODodfrERYWhhYtWqBRo0Z1YgUGBtppr/m3xmf9+vWYO3culixZgn79+iE8PBzPPfccfvrpJ7Ro0QJBQUF19AKXBujV1dV2NhkZGbjsssvstFssFju/c+fOISYmxmm+LVq0QFxcHH7//Xe792v+n5GRYVcvjRo1QosWLZzGatKkCVq0aIEmTZrY7GqoWTDFsf7cERYWhsDAQPTt2xcA0K9fP5SUlODZZ5/F22+/bcvVVX3XDMgCAgJs574mB+B/baBmOnNoaKjNpmYw3bx5c7Ro0cJlG37ppZfctuHIyEi3+YaHhyMwMBAVFRV2dmaz2e6ucg3OYgUEBNhp94dNnLVoxw2mpdlRm3ft6oO2uFGjcNBiQaeQEMQ7fL8RGi/XbMZBiwWt9HpM/GdmiRhtNf6OGrR83qhN/TKF2mlVm9ANplUbmOXl5eHEiRPo06eP7VhVVRWys7OxYsUKnD9/HsOGDYPJZMJff/2FoKAg25Q3xwUmamjZsiUCAwPrrNx4/Phxt1PlgoODZa1ip9PpPE4prKioUMRGjJ0QcnJyMH78eNs0vbKyMpeLLNSmc+fOde50Or7u06cPDhw4YLsrUpuauw+NGjVCVVWV27L0ej26deuGX3/91W4fMyXIyclB//798X//93+2Y7Xzb9q0KVq1aoVdu3ZhwIABAC610/z8fNt0vG7duiE4OBhHjhzBwIED7eI73qHZu3cvbr/9dpd67rzzTjz77LPYvXu3y+fMxNC1a1e8/fbbqKiosH2x/eGHH2THBYCnn34aMTExePzxx9GnTx/07NnTZX0Dl9pMcXExTpw4Yfvi7dhmaqa3Hj9+HDExMQAu3Xl1R05ODiZPniy6DTui1+vRq1cvbNmyxbaoTHV1NbZs2WI3JZIQQvyR9QYDMvLzba9nGY1Y9M91VijJJhMWFxdfehEVhXKTSVQMO3+JGgipz6i2+MeQIUOwZ88eFBQU2P6uvvpqTJgwAQUFBbYFBYBLA65mzZrh22+/xYkTJ+ye2amNXq/HVVddhS1bttiO1Xyxqnn2h9gTFxeHjIwMFBQU4KeffsJdd93ldtXLGh599FF88cUXWLp0KQoLC7Fq1Sp8+eWXdnfw5syZg7feegupqan45ZdfsG/fPqxfv95uZcH27dtjy5YtKCkpwalTp1yWN3z4cGzfvl1esk6Ii4vDjz/+iK+//hoHDx5ESkpKnVULH330USxYsACffvopDhw4gOnTp+PUqVO2XMPDw/Hkk0/i8ccfx7p162AymZCfn49XX30V69evt8U5fPgw/vjjD6fPR9bw+OOPo1+/fhgyZAheeeUV5Ofn49ChQ/j666/x5Zdfir5bfNddd0Gn0+H+++/Hr7/+ii+++AIvvfSSqBiuMBqNGD16NObMmQMAePLJJ93W99ChQxETE4Np06bh559/Rk5Oju29mnMZGxsLo9GIxYsXo7CwEBkZGViyZIlbHXFxcfjoo49Et2FnPPzww1i9ejXWrVuHffv24eGHH7at6lnDPffcg+eee872urKy0nYNq6ysxB9//IGCggL89ttvkjQQQojS5JrNyHC4Q7a4uBi5Ip6pzzWb7QZVYmPI9SekIaDawCw8PBzdu3e3+6uZAtS9e3cAl1br++GHH2AymZCeno477rgDjz/+ODp37myLM2TIEKxYscL2eubMmR6/WJH/sXTpUjRt2hT9+/fHyJEjMXz4cLu7mK647rrrsHLlSixduhS9evXCV199hccff9zuzuPw4cPx+eef45tvvkHfvn1x7bXX4uWXX0a7du1sNkuWLMHmzZthNBrd3iGaOnUqvvjiC7tl1JXgwQcfxJgxYzBu3DjEx8ejtLQU9957r51NcnIy7rzzTtxzzz3o168fwsLCMHz4cLtcn3vuOaSkpGDBggXo2rUrRowYgYyMDLRt29Zm895772HYsGF2+TvSuHFjbNmyBcnJyUhLS8P111+Prl27YsaMGbjuuuts0waFEhYWhs8++wx79uxB79698cwzzzjdULx9+/aYN2+eqNjApYFkRkYGdu7cicGDB7ut78DAQHzyySc4d+4c+vbti/vuu8+2KmPN3bxGjRrhvffeQ2FhIXr27IlFixbZLQrkjKVLl6J58+ai27AzRo8ejZdeeglz5szBlVdeiYKCAnz11Vd2z60eOXLE7q78n3/+id69e6N37944duwYXnrpJfTu3dtuT0ZCCFGTgy42tXd13BsxlNBASH1H9VUZ3XHgwAHMnj0bf//9N9q3b49nnnkGjz/+uJ1NzVTHGsaNG4eTJ09izpw5KCkpwZVXXlnni1VDZvLkyZg8ebLtdfv27fHJJ5/YPffhuOH04cOHnS6acP/99+P++++3e+04zXT48OG2/bVqUxNv5MiRdfYnc0a3bt2QlJSE119/3bbq5tq1a+1iZWVl1fFzNqWt9jYDwcHBSEtLQ1pamp222hsABwUF4dVXX8Wrr74K4NJd2K5du9rp1ul0mD59ep1l0Gu0VVZWYuXKlXj33Xc95hocHIzk5GQkJyfXea92PTjLtya/2nbXXnttnemAtW0sFguOHz9eZzXI2ji2m9qxa85naWmpy/quoUuXLsjIyLC1t5oHZmtPf7zuuuuQnZ1t1yZr15mzNuy4hYZjG969e7fgZ6CmTZvmdupiVlaW3flt3769060rhCysQgghvqBTSIio496I4c6/ULAKQuo3mhqYOX7RXLhwIRYuXOjWx9kXb09frIgyvPTSSxg6dChCQ0Px5ZdfYt26dW6XbpfLiy++aLccv6/4/fff8c0332DgwIE4f/48VqxYgUOHDuG2224THOPIkSP417/+heuuu86LSqWxdetWDB482O3ATCk+/vhjVFdX46qrrkJRURGmT5+O6667zvY8GSGEEOWJNxiQ5DCdMdlodLsAiLMYs4xGu+mIYmK48+fAjJBLaGpgRvyLnTt3YvHixTh79iw6duyI5cuX44477vBaee3bt8ejjz7qtfiuCAgIwNq1a/Hkk0/CarWie/fuyMzMRKdOnQTHiI2NdbkohtokJSUhKSnJJ2WdPXsWqamp+OOPP9CyZUskJiZ6fIaMEEKIfMabzUhJSBC0KqMrFsXEYExkJA5aLDBlZ2OeyB/0avtL1UBIfYYDMyKZjRs31jlWH6dvGY1Gp3tU1Mdcvc0999yDpKQkwdMKCSGEKEe8wSB7MFQTI91hb0FfaiCkvsKBmRuEbjAthPq06avW7KhNmh21edeO2qTZcYNpaXbU5l07apNmR23S7KhNmp2WtWl+g2l/QOgG0w1t01ct2lGbNDtq864dtUmz4wbT0uyozbt21CbNjtqk2VGbNDutatP8BtOEEEIIUZZcs5nP79QjivR6vF1SIqs+a9qESa+X5a+EBrkxtoeEIM5slhSDfYP4AxyYEUIIIfWAZJPJbsW7WUYjFnHFU78l2WTC4qgoYP9+ANLq065NREWh3GQSFUOJNqVojIgIrMrPFx3DmYYeohQQ4htU22CaEEIIIcpQpNfbffEEgMXFxcg1m1VSROSQazbLrk+5MZTQoES79FYeRRLvIBLiTTgwI4QQQvyckiDnE2AOWiw+VkKUwFW9ialPuTGU0KBEu/RWHq60EaImHJgRv6W0tBRRUVE4cuSIW7uEhATMmDHDN6IUZt68ebjyyisViVVZWYn27dvjxx9/VCSeO4Sc8/bt22PZsmVe1+JLDh8+DJ1Oh4KCArWleJW1a9eiWbNmassgtYi+eNHp8U4hIT5WQpTAVb2JqU+5MZTQoES79FYerrQRoiYcmDUQTp48iYcffhht27ZFcHAwoqOjMXz4cMFLgWqR559/Hrfccgvatm0LAMjKyoJOp8Pp06ft7D766CM899xzKiiUz5NPPoktW7YoEkuv1+PJJ59EcnKyIPsPP/wQgwcPRkxMDJo0aYLOnTvj3nvvxe7duz36euOcN5RBjytKSkpw1113oVOnTggICHA68F29ejVuvvlmNG/eHM2bN0diYiJ27tzpNm5Nv3H8Kykp8VImxBvEVlZiltFodyzZaOQiB35KvMEguz7lxlBCgxLt0lt5xErch40Qb8L7uCpxoboajQIC7F7rvTjf+bbbbkNlZSXWrVuHjh074vjx49iyZYvXN0murKz0Sl4WiwVr1qzB119/7dE2IiICgH9tCG21WlFVVYWwsDCEhYUpFnfChAl44okn8MsvvyA6OtqlXXJyMpYsWYLHHnsMM2fORM+ePXHy5El8+eWXmD17Nr766iunfjX1XXPOfUnNOQtymJ7iuP+V1nHVZyorKxEZGYlnn30WL7/8slPfrKwsjBkzBkOHDkXjxo2xaNEiDBs2DL/88gsuu+wyt+UeOHDAbnuQqKgonDp1Sl4yxKcsionBmMhIrjxXT1gUE4MmeXmIGTBAcn3WbhOm7GzMS0iQ7K+EBrkx0jIzMSUxUXQMZxrSd+wQrYMQb8OBmRu8scG0Xq9HWFgYvvr7bzx/5Aj2njuH7qGheKZtW9zcogXOnj3r8Yuk2DLPnDmDbdu24dNPP0XPnj0BAGFhYYj5Z0WjGrujR4/i6aefxrZt26DT6TBkyBAsWLAAUVFRKCsrw7Rp03DmzBm8/fbbtjKeeeYZ7NmzB5s2bQIAJCUloXv37ggKCsL777+Prl274tNPP8X+/fuRmpqKHTt2wGq1olu3bnj99dfRoUMHAMDbb7+N119/HUeOHIHRaMQDDzyAe++912WumzZtgl6vR1xcHMrKynDkyBEMGjQIANC8eXMAwPjx47FixQqMGjUKPXr0wOzZswEAvXv3xsSJE2EymZCRkYHmzZtjwYIF6Nu3L2bMmIHs7Gy0b98er7zyCnr37m0r84cffsD8+fNRUFCAiIgIDBs2DKmpqQgNDQUAvPnmm3jjjTfw559/wmAw4Nprr8Wrr74KAKiursby5cvx1ltv4cSJE4iJicETTzyBUaNGAQA2b96MO++8E+vXr8cLL7yAffv24f3330dOTg6+/PJLZGVl2erK1bkCLn15T0lJwaZNm2A2mxEZGYnJkyfb3V255pprkJaWhkcffdTpuf3xxx+xePFivPDCC3jggQdQVlaG0NBQhIaG4uGHH8ZDDz1kG+QuWrQIX375JaZOnYolS5bgjz/+wMmTJ23n/Pnnnwdw6Y7t9OnTkZ2djZYtW+KZZ55BdXU1zp0753TA7KzeawYJp0+fRmlpKbZv345bb721zjlbvHgxunbtatcG33nnHezbtw/z5s3DDz/8gJCQECQkJGD+/Pm2PbPOnj2LGTNmYPPmzQgLC8Ojjz6KL7/80i6Pli1b4q233sKAAQNsujp27Ijnn38ed955p53G5s2bo6qqCjNnzsS2bdtw4sQJXHbZZbj33nvx4IMP2vwffPBBWCwW9O7dG2vWrEFwcDDy8/Pr5B8REYE5c+YAAFatWoWKioo652758uUoKyuzDeYXLVqEDz74AJ9++inGjRvn9PyeOXMGABAUFIRGjRrZnW9X/a+srAxWq9VW/u+//44hQ4bgsssuw+rVq7Fr1y7ceuut2LhxI5577jkUFhbi6quvxrJly5CZmYmUlBQcO3YMw4YNw7JlyxBSa6oRN5iWZlfbRgeg8J8/rWnzVzu1tB3PyUFsZaXL+hQaS/dPrHQBP1Q5i+esTanRLnU5OSi0WFyeC0/xamtge5NmR23S7IRuMA0rqcOZM2esAKxnzpyp8155ebn1119/tZaXl1utVqv1r7/+EhSzxq6yqsq66eRJq27rVitq/em2brVuOnnSWllVJTiWULsLFy5Yw8LCrDNmzLBWVFQ4tauqqrJeeeWV1uuvv976448/Wn/44QfrVVddZR04cKDNZtKkSdZbbrnFznf69Ok2G6vVau3fv781LCzM+tRTT1n3799v3b9/v/Xo0aPWiIgI65gxY6y7du2yHjhwwLp8+XLr/v37rVar1Zqenm5t3bq19cMPP7T+9ttv1g8//NAaERFhXbt2rctcH3vsMeuIESNs2i5evGj98MMPrQCsBw4csB47dsx6+vRpq9VqtQ4cONA6ffp0W6x27dpZIyIirCtXrrQePHjQ+vDDD1sNBoN1xIgR1o0bN1p/+OEH66233mrt2rWrtbq62mq1Wq1FRUXW0NBQ68svv2w9ePCgNScnx9qjRw/r5MmTrVar1bpr1y5rYGCg9d1337UePnzYmp+fb33llVdsZc6fP9/apUsX61dffWU1mUzWtLQ0a3BwsDUrK8tqtVqtn3zyiRWAtWfPntZvvvnGWlRUZC0tLbXOnTvX2qtXL1veb7zxhstzZbVarS+++KLVaDRaP/vsM+vhw4et27Zts7777rt25y45Odk6cOBAt+c2LCzMeuHCBdv5dcXcuXOtoaGh1hEjRli//fZb608//WR3zmu48cYbrb169bLu2LHDmpmZae3fv7+1SZMm1pdfftlpXGdlHjp0yArAunv3bqvVarVu3brV6TkbOHBgnTZoMpmskZGR1tmzZ1v37dtnzc/Ptw4dOtQ6aNAgW/z77rvPajQarZmZmdY9e/ZYR48ebQ0PD7fLA4D1448/ttPXtGlTa1paWh2Nf/31l7WystI6Z84c665du6y//fabNT093RoSEmLdsGGDzX/8+PHWsLAw6913323du3evde/evR7PieP5dWVnNputjRs3tn722WcubWrOY7t27azR0dHWxMRE6/bt213Wg9VqtaalpVmbNm1qtVqt1iNHjlhjY2OtkyZNsl68eNEu5rXXXmvdvn27NT8/3xobG2vt37+/ddiwYdb8/Hxrdna2tUWLFtaFCxe61OZ4va3N22+/7VSbN+3UKFOoHbV5147apNlRmzQ7apNmp2Vt7sYWteEdMx9R86t8o4AAPH/kCKwO71sBvHDkCEa2bCk4llCCgoKwdu1a3H///Vi5ciX69OmDgQMHYvz48bY7aFu2bMGePXtw6NAhGP+Zi/3WW2/hiiuuwK5du9CxY0fB5cXFxWHx4sW21//617/QtGlTrF+/3vaLfIsWLWx5zJ07F0uWLMGYMWMAAB06dMCvv/6KVatW4eabb3Zaxu+//442bdrYXgcGBtqmz0VFRXlcmOCmm26y3bWYM2cO3njjDfTt2xd33HEHSktLkZycjH79+uH48eOIjo7GggULMGHCBNudp7i4OCxYsACjRo3CG2+8gSNHjiA0NBQ333wzwsPD0a5dO/Tu3RulpaU4f/48XnjhBWRmZqJfv34ALt1l2b59O1atWoWBAwfadP373//G0KFDXepevHixy3M1adIkHDlyBHFxcbj22mvRsmVLtGvXrk6MNm3a4Pfff3dZxsGDB9GxY0e7KYFLly613a0BgD/++ANNmzYFcOmuxltvvYWAgACnbfPgwYP48ssvsXPnTvTt2xelpaVYs2YNunbt6lKDGJydM2dtsHfv3njhhRdsx958800YjUYcPHgQrVu3xrp167Bq1SoMGTIEAJCWlmbXxqTQqFEjpKam2l536NABO3bswMaNGzF27Fjb8dDQUPz3v/9VfNpvcnIy2rRpg8TERJc2rVu3xsqVK3H11Vfj/Pnz+O9//4uEhATk5uY6bT+1OXDgAIYOHYobb7wRK1euhE6ns3t//vz5uO666wAAU6dOxezZs2EymWzXk9tvvx1bt24V/NwjIYQQUp/hwEwF9p47J+q4Etx2221ISkrCtm3b8MMPP+DLL7/E4sWL8d///hcjR47Evn37YDQabYMyAOjWrRuaNWuGffv2iRqYXXXVVXavCwoKcMMNN9hNk6rh3LlzMJlMmDp1Ku6//37b8YsXL9q++DujvLwcjRs3FqzJkZoBKQC0atUKANCjR486x06cOIHo6Gj89NNP+Pnnn/HOO+/YbKxWK6qrq3Ho0CEMHToU7dq1Q8eOHTFixAiMGDECo0ePBgAUFRXBYrHUGTxUVlbaTZUEgKuvvtql5nPnzuHQoUNuz9XkyZMxdOhQxMfHIykpCTfffDOGDRtmF6dJkyawiFxC+95778WoUaOQm5uLiRMnwmr9308L7dq1Q2RkpMtn+Pbt24egoCC7dtGlSxfFVvVzds4c2+Avv/yCrVu3On1ez2Qyoby8HBcuXECfPn1sx5s2bYrOnTvL1vfaa6/hzTffxJEjR1BeXo7Kyso6K2326NFD8UHZwoULsX79emRlZbntK507d7bLs3///jCZTHj55ZfdrppZXl6OG264AXfddRdSUlLqDMqAuv0sJCTE7lrSqlUrj4uTEEIIIQ0FDsx8RGlpqe1uQvfQUKcbI3b/51klMbHE0LhxYwwdOhRDhw5FSkoK7rvvPsydOxcjR44U5B8QEGD3hRwALly4UMcu1CEPx+f0alPzPMnq1asRHx9v915gYKBLv5YtW8pamKD2ILHmC6WzY9XV1TadDz74IB577DGbzalTp9C8eXO0bdsWer0e+fn5yMrKwjfffIM5c+Zg3rx5+Prrr205ZmRk1FmAITg42O6147mrjZBz1adPHxw6dAgbN25Ebm4uxo4di8TERHzwwQc227///huRkZEuy4mLi8P27dtx4cIF2zlp1qwZmjVrhqNHj9axd6fZFzgr3/HYuXPnMHLkSCxatKiObevWrVFUVCSoLJ1OJ6gP1LB+/Xo8+eSTWLJkCfr164fw8HC8+OKLyM3N9ZiDHF566SUsXLgQmZmZdoMjoVxzzTXYvn27W5vg4GAkJibi888/x3333ef0muTYpxwXZtHpdLY+RqSTazZje0gI4sxmSQsr5JrNXDBEIYr0erxdUiLrXNauD6nIrVMl2oQW2qUS50FODkpoUCKGku3SxI25vQoHZj7mQnU1nmnbFrfs3Ws3nVEH4F9t29ZZrdGbdOvWDZ988gkAoGvXriguLkZxcbHtrtmvv/6K06dPo1u3bgCAyMhI7N271y5GQUGB0zthtenZsyfWrVtn90W/hlatWqFNmzb47bffMGHChDq+ru7C9O7dG+np6XbHau44VFVVudUjhT59+uDXX39FbGysnbbaX0aDgoKQmJiIxMREzJ07F82aNcO2bdswZswYBAcH48iRI3bTFsXSqlUrREdHuzxXNRgMBowePRr33Xcfbr/9dowYMQJ///23barn3r1769ypq82dd96JV199Fa+//jqmT58uWW8NXbp0wcWLF5GXl4e+ffsCuDQFznFbA2/Ss2dPfPHFF2jfvn2dwQFwaWppo0aNsHv3bvTq1QvApUUxDh48aLfQR2RkJI4dO2Z7XVhY6PbuY05ODvr374//+7//sx0zmUxKpOSS5cuXY9myZfj666/d3oF1R0FBAVq3bu3WJiAgAG+//Tbuuusu3HLLLdi2bZvsqZ9EPMkmExYXFwMREViVn49ZRiMW/bOwkyj/fxDrT/5HssmExVFRwP79AKSdS8f6SDIYMFGKDhl1ut5gQEatBYhk5aFiu5QbQ24OrjT0cGMvNIboPJRsl1FRKDeZeJ3wEtzHzMc0CgjAzS1a4NPu3XGtwYCwwEBcazDg0+7dcXOLFl4ZlJWWlmLw4MFIT0/Hzz//jEOHDtlWr7vlllsAAImJiejRowcmTJiA/Px87Ny5E/fccw8GDhxo+3I3ePBg/Pjjj3jrrbdQWFiIuXPn1hmoOWPatGkwm80YP348fvzxRxQWFmLjxo04cOAAACA1NRULFizA8uXLcfDgQezZswdpaWlYunSpy5jDhw/HL7/8YnfXrF27dtDpdPj8889x8uRJwatXCiE5ORnff/89pk2bhoKCAhQWFuKLL77AtGnTAACff/45li9fjoKCAvz+++946623UF1djdjYWISHh+PJJ5/E448/jnXr1sFkMiE/Px+vvvoq1q1bJ1qHu3O1dOlSvPfeeygsLMTBgwfx/vvvIzo62m7a4LZt2+pMb6xNv3798MQTT+CJJ57AzJkz8cMPP+D333/HDz/8gDVr1kCn0yFARDvt3LkzRowYgQcffBC5ubkoKCjAfffd5/ZOqtLce++9+Pvvv3HnnXdi165dMJlM+PrrrzFlyhRUVVUhPDwckyZNwrx587B161b88ssvmDp1KgICAuym6A0ePBgrVqzAzz//jB9//BEPPfSQ2x8m4uLi8OOPP+Lrr7/GwYMHkZKSgl27dknOo6CgAAUFBSgrK8PJkydRUFCAX3/91fb+okWLsHDhQrz55pto3749SkpKUFJSYtcXZs+ebTdQXLZsGT799FMUFRVh7969mDFjBr799ls88sgjHvUEBgbinXfeQffu3TF48GDufeZjcs1muy9sALC4uNjpjAxv+JP/ocS5dBYjw2CQHUNsm8hwuKOiRB6+bpdFer3qGlzFKBJxx0kL55LXCd/CgZkK6HQ6jIiIwI4+fXD2hhuwo08fjIiIUHQgUZuwsDDEx8fj5ZdfxoABA9C9e3ekpKTg/vvvx4oVK2yaPv30UzRv3hwDBgxAYmIiOnbsiA0bNtjiDB8+HCkpKZg1axb69u2Ls2fP4p577vFYfosWLfDtt9+irKwMAwcOxFVXXYW33nrL9oX2vvvuw3//+1+kpaWhR48eGDhwINauXWtbSt8ZPXr0QJ8+fbBx40bbscsuuwypqal4+umn0apVK9ugSQl69uyJ7777DgcPHsQNN9yA3r17Y9GiRbY7BM2aNcNHH32EwYMHo2vXrli5ciXee+89dOnSBQDw3HPPISUlBQsWLEDXrl0xYsQIZGRkuM3RGXfffbfbcxUeHo7FixcjMTERffv2xeHDh/HFF1/YBlI7duzAmTNncPvtt7st56WXXsK7776L3bt346677kJcXBzuuOMOVFdXY8eOHXb7XQmhZiGNgQMHYvLkyXjggQcQFRVlZzN58mQkiNxjRyitW7dGTk4OqqqqMGzYMPTo0QMzZsxAs2bNbOdm6dKluPrqq3HzzTcjMTER1113Hbp27Wr3fNaSJUtgNBoxcuRI3HXXXXjyySftlnp35MEHH8SYMWMwbtw4xMfHo7S01G5QJJbevXujd+/eyMvLw7vvvovevXvjpptusr3/xhtvoLKyErfffjtat25t+3vppZdsNseOHbObklpZWYknnnjC1p5++uknZGZm2hZB8URQUBD+85//4IorrsDgwYNx4sQJyfkRcRx0cbfW1XGl/cn/UOJcaiFGfdFQ4mRmhK81uLJ1pc0bOrRQn0QcnMqoEo53xhoFBMDspY1wg4ODsWDBAixYsMDp+zVTsdq2bYtPP/3UbazU1FS7VeYc2bRpk9NnTXr27Gm3GbTjNMC77roLd911Vx0/d5tCz5kzB0899ZRthUIASElJQUpKip1dzR5gNbEOHz5cJ5bjc0Pt27evc6xv37745ptvnOZw/fXX28pxpl+n02H69OkupwZef/31dcoDgHnz5mHevHl2x1ydKwC4//77cf/997t8DnHZsmV46qmnBC0AMnbsWIwdO9btM43O9AGocy6io6Px+eefA/jfebv77rvtbA4dOmTbi84ZjnWSkJCAv/76q84iIs7qAbh09+qjjz5yGT88PByrVq2y5Xru3DmkpqbigQcesNm0adMGX3/9td05qT0ls7bG0tJSBAcHIy0tDWlpaXZl1e6LK1asEPzMqLM2UpvDhw97fAZ17dq1dv1q1qxZmDVrlqDya5g8eTImT55sex0UFIQPP/zQ9joqKqqO1smTJ9d5ntVV+yHCcPUMktBnk9z5e9onitgjty58EUNInWohDyXaZfTFi17TIBRXtq60eUOHFuqTiIN3zIjfkpSUhAceeMDumR/imsrKSvTo0QOPP/642lLqcObMGZhMJjz55JOqadi9ezc+/PBD21TTmuf4aqb7EqI14g0GzKq1ki4AJBuNgh/ul+tP/ocS59JZjJtFLjqhRJtIcpiipkQevm6XsZWVqmtwFSNWxI/wWjiXvE74Ft4xc8OGDRvqPAej1+vRoUMHnDp1Cnq9XvD0QyF2SsZS2k6r2u6++26UlZW5vbOmlja1ynRn9/DDD8NiscBisWhO208//YTz58/j/Pnzqmg7ffo0Xn31VcycORONGjVCr1698Nlnn0Gn09VpX/5Y92qXKdSutk1lZSXKysqwadMmVDp8mcnJyRFUppJ2apTpya4HgLl6Pbb99htu6NgRsUePIn3HDsGxavxLgoIQffGizb++nzexdkJsegAYvW8foq66yu5cionnWB/Ht25FuodneZSuU2NODuYOGlTHX2gOtTWo2S6vcxFDiH4lcnCVh9j25upcCMmhxl/JdnkiLw/du3Z1ey6EalPaTsvXkPLyckGxODBzw7hx4+o8S1NRUYFDhw6hefPmtmdPhE5DEmKnZCyl7ahNmh21SbPzdZmDBg1CVlaWX+cgxs4ftFVUVOD06dMYNWqU073YJk4Utl6dknZqlCnELj09HRNrbVruizLF2Gn1vImxExQrPR0Ta02vlxsvvbJSnfOrUFuqD+1SrRwUPR8Ktst0i8X/+6kKdmaz2e7RCFdwKiMhhBBCCCGEqAwHZhLx9BA+IYQQefA6SwghpCHBqYwiqVni3WKx+HQfJkIIaWjUrBzqaRP7hkiu2YyDFgs6hYRIeghfrn9NjO0hIYgTuUCFKx3+ihI5aKU+D1osMInYZ8tbGuSeB6k5KKFBiRhFej3eLilRTINcf7Xr05+vD2LhwEwkgYGBaNasmW2vnsrKSlRUVHj0E2KnZCxq04YdtdU/bULtqE26tvLyclgsFpw4cQLNmjVDYGCgx9gNiWSTyW7D11lGI3rI9F8UEyNNQ0QEVuXny4vxD0kGA4Q9zaEdlMhBbn2sNxiQkZ8v2b+OhqgolJtMomIo2qYkxpCbgysNYvqWqxii84iKAvbvl+TvTIPYdqlEfcptl/Xh+iAFDswkEB0dDQA4ceIEysrK7PYxcoUQOyVjKW1HbdRGbeLsqE2+tmbNmtmut+QSuWaz3ZcVAFhcXIy5Au8QFOn1Tv3HREYK/kXblQa5MTIMBuTKuPvma5TIQe65zDWbkeFg5+v6dOcvFLnt0lttUkzfUkKHFvqWUhrktMv6cH2QCgdmEtDpdGjdujWioqLw4YcfYtSoUR59Nm3a5NFOiI1adtRGbdQmzo7a5Glr1KgR75Q54aCLjeFLgoR9nLuyO2ixCP7C40qDr2OojRbOg9Y16AQpkN8uvXkehPYtJXRovT79SYO/woGZDAIDA1FZWel0GWdHhNgpGUtpO2qjNmoTZ0dt3tXWUHH1rEX0xYuC/F3ZiXmGw5Wtr2OojRbOg9Y1FArUILddevM8CO1bSujQen36kwZ/hQMzNzjbYNqRhrIxHrVJs6M2aXZa1ibUjtqk2VGbZ7skg8FumtDNZvOljYgdNuF2xvGcHCTdeGMd/8JNm+y+RHvS5kyDYwxPsRxjXPnrryg8etTjl3kt1b0SObg7l0K0XXn2LAq6dnXqLyQHTxrk5CC0DpRol2JzcBZLTt+qiedJhz/0LbltEpDfLqXkoJVrtDO4wbQCONtg2hkNYWM8tcoUakdt0uyozbt21CbNjtrc201E3dXO0s1m4bFGjRK0Wpq7eDUa0jIzMSUx0eP0ImexHPMoPHpUE+dXjI0SOTirT1Ha0tMR16ePoNXvXMWqrcGUnY15IjdUdpeDr9qllBwcY8nuWxMneqxPdznUaJi3cSNiBgwQtJqhN9ql7DYJyG6XUnPQ6jVE6AbTHJgRQgghfka8wSDrWQu5/jUxCmU+81Fbh9Bpb1pDiRy0Up/xBoOgu0Pe1iDXX2oOSmhQIkZsZSUmylz4SG671MJ5qA/XB7Fwg2lCCCGEEEIIURkOzAghhBBCCCFEZTiVkRBCCPEyQp6d8XaMXLMZ20NCECdjLyAt5FGk1+PtkhLFNMj1V7M+D1osMInYZ8tbGuSeBzntUit1oWTfkusvVYPcviU3B8cY9X1pfGdoZmC2cOFCzJ49G9OnT8eyZcsAACUlJXjqqaewefNmnD17Fp07d8YzzzyD2267zWWcefPmITU11e5Y586dsf+fHdQJIYQQX5JsMtltljrLaMSimBifxrD5R0RgVX6+Yhp6iIqgUB5RUcA/n+lK5JFkMEDY4/3O/aVoWG8wICM/X3IMOw1RUSg3mXzepuTmYKdBYrusr31LjTYpt2/JzcFZDCl5+DuamMq4a9curFq1Cj179rQ7fs899+DAgQPYtGkT9uzZgzFjxmDs2LHYvXu323hXXHEFjh07Zvvbvn27N+UTQgghTsk1m+2+aADA4uJi5JrNgmMU6fWyYiihwVWMIhF3a+Tq8FYeGQaDzzVkONwJ0MJ5EKtBTg5KadDCeagvbVLp8yAmByU01BdUH5iVlZVhwoQJWL16NZo3b2733vfff49HH30U11xzDTp27Ihnn30WzZo1Q15entuYQUFBiI6Otv21bNnSrf358+dhNpvt/gghhBC5HLRYRB13RkmQ88ktQmMoocGVrStt3tDhzTyogRqowb811BdUn8r4yCOPICkpCYmJiZg/f77de/3798eGDRuQlJSEZs2aYePGjaioqEBCQoLbmIWFhWjTpg0aN26Mfv36YcGCBWjbtq1L+wULFtSZ/ghwg2m1yxRqR23S7KjNu3bUJs2uvmkz6fVAVFQdG1N2No4LjHdi3z5g6FCnMWqWBXenzZ0GV8uKO8ZzFeNEXh7SPXxxqonlSYen8ys2D2fxpJwLJXMQq8EbOXiKIaRdCtXgzXYpN4ecnBy0EqBBrb7lqT6VykGsBiXbZO14SvQtLX9++MUG0+vXr0d+fj527drl9P2NGzdi3LhxaNGiBYKCghASEoKPP/4YsbGxLmPGx8dj7dq16Ny5M44dO4bU1FTccMMN2Lt3L8LDw536zJ49GzNnzrS9NpvNMBqN3GBaA2UKtaM2aXbU5l07apNmV9+0lTs8N5FsNGJeQgLSKyuFb9RqNDqNIVSbKw1Cc3AVo3vXrqLOmycdnmKJzcNZPMcYN5vNojYjlpsDAPy4aZPdVEB3eQjJQUh9OsaS2y6F5uDNdik3h4ljxwrS4Ou+JbRNAsrk4EyD3DYpKgcF+5ZWPz80v8F0cXExpk+fjs2bN6Nx48ZObVJSUnD69GlkZmaiZcuW+OSTTzB27Fhs27YNPXo4f+T4xhtvtP2/Z8+eiI+PR7t27bBx40ZMnTrVqU9wcDCCg4PlJ0UIIYQ4sCgmBmMiI2WtNCY3Ro1/WmYmpiQmKqYhfccO2THE+jfJy0PMgAGKncvCTZtk+UvRMN5sRkpCguz6PGixwJSdLWhQ5i6GFA1yc6itQWq7rK99S402Kbdvyc3BWQyuyuhD8vLycOLECfTp08d2rKqqCtnZ2VixYgUOHDiAFStWYO/evbjiiisAAL169cK2bdvw2muvYeXKlYLKadasGTp16oSioiKv5EEIIYR4It5gkP0lQ26MeIMBhRaL7Bhq5xFbWYmJ0dGKaSiU6a+EBjn+nqaK+UKDHOS2S63UhZJ9S602Kbdvyc3BMUZDRLWB2ZAhQ7Bnzx67Y1OmTEGXLl2QnJwMyz9z1gMC7NcnCQwMRHV1teByysrKYDKZcPfdd8sXTQghhBBCCCFeQLWBWXh4OLp37253LDQ0FC1atED37t1x4cIFxMbG4sEHH8RLL72EFi1a4JNPPsHmzZvx+eef23yGDBmC0aNHY9q0aQCAJ598EiNHjkS7du3w559/Yu7cuQgMDMSdd97p0/wIIYQQQgghRCiqr8roikaNGuGLL77A008/jZEjR6KsrAyxsbFYt24dbrrpJpudyWTCX3/9ZXt99OhR3HnnnSgtLUVkZCSuv/56/PDDD4iMjFQjDUIIIYQQQgjxiKYGZllZWXav4+Li8OGHH7r1OXz4sN3r9evXK6yKEEIIkUau2SzrQfZcsxnbQ0IQZzZLfu6itga5/lI0FOn1eLukRNbD/GrnoEQMuTkorUHueTCJ2FzcWxq00q/Uqgu5fUsLdaHk9UFqm9QSmhqYEUIIIfWFZIeln2cZjVgUEyPePyICq/LzRfs705BkMEDY4s/O/SXlEBUF7N8vyd+ZBl/nAADrDQZk5OdLjiE3B2cxxGqQm0MdDVFRKDeZZJ0HJdqDFvrVLKMRztcKF+4vSYOMviU3B1cxVL0+SGiTWiPAswkhhBBCxJBrNtt9YQGAxcXFyDWbfeLvKkaGweAzDfUhh5oYGQ6/5Ms9D2JycBVDrAY5OSilQW5dFOn1qmtwFaNI4N0auTm40yD3PAjNwZsafHketAjvmLlhw4YNaNKkiVsbJXcF1/KO5dQmzY7apNlpWZtQO2qTZldftG0PCQEiIuq8l5aZicJ/Vh12F0+IvydtYmMwB+eI0eCNHDzF0Alol3JzEBvDWSy5OQDAtqNHgagojxq8lYO7GNt++w3p6elu9QPCclCyTTqLJycHIW2y0GLxeg5SYriL5W278vJyQbE4MHPDuHHjYBAw31XJ3cO1umO5WmUKtaM2aXbU5l07apNmVx+0xSUmYlWtaWM1OG5A6ypenNksyN+dNikx7PyZgyQNSucwceJEtzEKLRaP7VJuDlJiOMaSmwMAFG3ciG+dHHemwRs5uItxQ8eOmDh2rBv1lxCag5Jt0jGe3Bw8tckaDd7MQWoMV7G8bWc2m/HAAw94jMOpjIQQQojCxBsMmGU02h1LNhoFP9wu199VjJtFLHbAHP4XI8lhapTc8yAmB1cxxGqQk4NSGuTWRWxlpeoaXMWIFbjRt9wc3GmQex6E5uBNDb48D1qEd8wIIYQQL7AoJgZjIiMlr1hW45+WmSn47oonDYWbNsnyl5JDk7w8xAwYIHnVNbVzAIDxZjNSEhJk16XUHJzFEKtBbg6OGkzZ2ZiXkCDZX6n2oIV+FW8wIH3HDln+UjTI6Vtyc3AVQ6y/ktcHKW1Sa3BgRgghhHiJeINB1q+38QYDCi0W2TFq/Atl+kshtrISE6OjJfs7alAjByViyM1BaQ1yY6SLuLviLQ1y/JXsV2r4A/L7lhbqQsnrg9Q2qSU4lZEQQgghhBBCVIYDM0IIIYQQQghRGU5lJIQQUm/INZtlPbch1x+4tE/R2yUlqmqQG0PJHKSidg61NZhE7O/kzF/NupSbg5IaGnIONTG2h4QgTuTiL0pr0Mq1Qa0ctAwHZoQQQuoFySaT3Wajs4xG9JDpvygmRryGqChg/35JMeTm4CqGaA0K5pBkMEDYgtOuY/g6hzoaoqJQbjLJrkuxGtYbDMiotRy4rLqQkEOdGHI1yPVXMAdVrg3FxUBEBFbl5/PaAHVy0DocmLmBG0yrW6ZQO2qTZkdt3rWjNml2UmMV6fWXvjDUYnFxMUbv2wcI2PT1o3378PHll9fxb5KXZ1tC2pM2Vxpqx/BWDjWxPGlQI4cMgwHzNm70uBS3VnKQEkPpHGpiZAjQ4CqW3Bw8xTguIAch/UqtHJS8NrjLQUoeSl/fcnJyBGnw9xy0/NnGDaYVgBtMq1+mUDtqk2ZHbd61ozZpdlJivV1SYvsVtzZRV12FiWPGeIy1/aOPnB6PGTDAbsUwd9pcaXCMURslc5g4caIgDWrk4M5fazlIjaFkDmI1OIslNwdPMWIrKz3mILRf1S6zNt7MQelrQ+0yHVH72gAA1gEDBGnw9xy0+tnGDaYJIYQ0GFw9yxR98aIgf1d2Yp6RcmUrNIbcHLypwVf+1FC/NMjtV97MgdcGZTT4Uw7+AAdmhBBC/J54gwGzjEa7Y8lGo8fpczXEVlY69RfzYLkrDUJjyM3Bmxrk+N8scqEDtXPQkoYks1l1DXJiyO1X3syB1wb1rw2+zsEf4FRGQggh9YJFMTEYExlpt1pX+o4dsvylaGiSl4eYAQMkxZCbg6sYYv2VzKFw0yZR/s5i+DoHRw2m7GzMS0iQ7C9Vw3izGSkJCbLOg5wcHGMo1aal+iuZgxrXhjGRkUjLzMSUxEReG1TKQetwYEYIIaTeEG8wyPqglusPXPqFXcjzVN7UIDeGkjkUKhBDCnJzqK0hXcSv+s78ldAg119qDkpqkOvvzznUxCi0WCTH0UJ7qg/XNy3DqYyEEEIIIYQQojIcmBFCCCGEEEKIynBgRgghhBBCCCEqI+gZs4iICFFBdTod8vPz0a5dO0mitAI3mFa3TKF21CbNjtq8a0dt0uykxCrS61ESFIToixfrrPAlNN5H+/Zh+0cfOY0hJFZtDUI23nWMJzeHms1XXcXwRQ6OMYRuzM0c6lIT44SIzcW1mMO2o0dRJGJzcSVzcBVDqH41c1Dy2iA3B0cNalzfhOag5c82RTeYPn36NJYtW4amTZt6tLVarfi///s/VFVVCRKgZbjBtPplCrWjNml21OZdO2qTZicmVrLJhMXFxbZjs4xGLIqJERUv2WTCx5df7jaGu1iOGpJuvBETR43yaQ7rDQasrPV55escnMWorUFInTIH1NUwdCji3MRwFktTOURF4VsPMbyRAwDs6ddPVr9SOwclrg1yc3CWh6+vb2Jz0Opnm9ANpgWvyjh+/HhERUUJsn300UeFhiWEEEIkkWs2233gA8Di4mKMiYwUvGKX3BjO/DMMBuQK3LtLqRwyHGx9mYOrGDUahPo39Bw8aZDbnoSW7+85AJfusHhLg69y8KYGOXXpy+ubEjn4G4KeMauurhY8KAOAs2fPomPHjpJFEUIIIZ44aLGIOu6NGGr7U4My/tSgjL9WNJQEOb/vwPPoXxqUyMHf4OIfhBBC/JJOISGijnsjhtr+1KCMPzUo468VDdEXL6qqob6cR7U1KJGDvyF4YJadnS3ojxBCCPEF8QYDZhmNdseSjUZRU1zkxnDmf7OI6XNK5ZBkNkuOITcHVzHEamjoOSiloaHnAFzaBFnt86jFa5MSGnx5fVMiB39D8DNmCQkJLt/T6XS2fy+6+JWCEEIIUZpFMTEYExmJgxYLOoWESPrAXhQTgyZ5eYgZMEBSDEcNhZs2yfKXksN4sxkpCQmSY8jNwVkMsRqYQ10NpuxszHPz/cuTv9o5pGVmYkpiouy6lHse5bSnhpyDMw2+vr4pkYM/IXhgdurUKafHLRYLXnnlFSxfvpzPlRFCCPE58QaD7A/r2MpKTIyOVkRDoUx/JTTI9ZeSg9Ia5Pr7aw61Y6R7WN7cWxqUyqHQYpEcRyt9oqHn4KhBjeubEjn4C4IHZo5L5VdXV+PNN99EamoqAgIC8Nprr2HSpEmKCySEEEIIIYSQ+o7ggVltPvroI/zrX//CyZMnMXv2bDz66KMIDg5WWpvqcINpdcsUakdt0uyozbt21CbNjtqk2VGbd+2oTZodtUmzozZpdlrWpugG0zV89913SE5Oxp49ezB9+nQkJycL2nTaX+EG0+qXKdSO2qTZUZt37ahNmp2vysw1m23PPUjRVtvfcYqNkFhFej2sAp9r85RDK70eE8eO9VimYyy5OQBA3KhRHp8fcReLOcjPYeLEiW5jqJmDmH7q6xycxXKmwdc5bA8JQZzA56nUyMFTLDVzqLGRm4PSdopvMH3TTTchMzMT9957Lz755BNEy5iLTwghhKhJsslkt3FpksEAYR+/zv1nGY1YFBMjzj8qCti/X5J/HQ1RUSg3mcRrkJEDAKw3GJCRny85BnNQJgdF2mMDz8GVhh4y/SXlEBGBVfn5ip1H5iBeg1oIXi7/q6++AnBpel+3bt0QERHh9I8QQgjRMrlms92HNgBkGAzIdVgmXIz/4uJin/lrSUOGwy/RvtTAHC5RpNerqqE+5OAuRpFeL8ifOWgjByU0qIngO2ZpaWne1EEIIYT4hIMWi8vjQqbdqO1PDcr4a0GDEjmUBDn/KqeFHHQevS+hdg7uYrjSJtSOOfg2ByU0qInggRlXXCSEEFIfqHmmTOhxrflTgzL+WtCgRA7RLvaP1UIOQpdWVzsHd7autAm1Yw6+zUEJDWoieCqjt1m4cCF0Oh1mzJhhO1ZSUoK7774b0dHRCA0NRZ8+ffDhhx96jPXaa6+hffv2aNy4MeLj47Fz504vKieEEOJPxBsMmGU02h272WwW/GuqM/9ko9Fn/lrSkOQwPciXGpjDJWIrK1XVUB9ycBcjVuBecsxBGzkooUFNBN8xKyoqwiOPPIIzZ85g4cKFSBC5E707du3ahVWrVqFnz552x++55x6cPn0amzZtQsuWLfHuu+9i7Nix+PHHH9G7d2+nsTZs2ICZM2di5cqViI+Px7JlyzB8+HAcOHAAUVFRimkmhBDivyyKicGYyEjbql2FmzbJ8hf7ob8oJgZN8vIQI3BVRk8aTNnZmCfyc1luDgAw3mxGSkKCrPPAHOTnoER7bOg5uNKQvmOHLH8p5adlZmKKwBUNhWhgDv4xKANEDMzuvfde3HXXXejduzduuukmHD9+HEEC53u6o6ysDBMmTMDq1asxf/58u/e+//57vPHGG7jmmmsAAM8++yxefvll5OXluRyYLV26FPfffz+mTJkCAFi5ciUyMjLw5ptv4umnn5atlxBCSP0g3mCwfWALnXLlyl8KsZWVmChzheMaDekCf0125a+EBrn+zIE5qJ2Dkhrk+BfKfB6KOSjTHtVA8FTGQ4cO4dprr8VVV12Fs2fP4vTp04oIeOSRR5CUlITExMQ67/Xv3x8bNmzA33//jerqaqxfvx4VFRUu79ZVVlYiLy/PLlZAQAASExOxw81I+/z58zCbzXZ/hBBCCCGEEOIrBN/yuu+++/DQQw+hTZs2GDJkCFq2bCm78PXr1yM/Px+7du1y+v7GjRsxbtw4tGjRAkFBQQgJCcHHH3+M2NhYp/Z//fUXqqqq0KpVK7vjrVq1wv5/9opxxoIFC5Camlrn+IYNG9CkSRO3OTSUHcupTZodtUmz07I2oXbUJs2O2qTZUZt37ahNmh21SbOjNml2WtZWXl4uKJbggdncuXMxdOhQnDp1CsOHDxfq5pLi4mJMnz4dmzdvRuPGjZ3apKSk4PTp08jMzETLli3xySefYOzYsdi2bRt69BCz1Zx7Zs+ejZkzZ9pem81mGI1GjBs3DgYBt0GV3D3c1zuRi7GjNml21CbNTsvahNpRmzQ7apNmR23etaM2aXbUJs2O2qTZaVWb2WzGAw884DGOqIfE+vfvL8bcLXl5eThx4gT69OljO1ZVVYXs7GysWLECBw4cwIoVK7B3715cccUVAIBevXph27ZteO2117By5co6MVu2bInAwEAcP37c7vjx48cR7WYef3BwMIKDgxXKjBBCiFbJNZtlPRAu1792DJPADVOV1sAc7GP4ew7bQ0IQJ2JVUSU1MIf/xWAO6udQpNfj7ZISv1vwozbyV++QyJAhQ7Bnzx67Y1OmTEGXLl2QnJwMyz8bxAUE2D8GFxgYiOrqaqcx9Xo9rrrqKmzZsgW33norAKC6uhpbtmzBtGnTlE+CEEKI35BsMmFxcbHt9SyjEYtiYgT7rzcYkJGfL9m/joaoKJSbTKJiMAfmUEdDRARW5eeLjsEc5PvbxVAwBzFzwphDrRhRUcA/jy5JiaEFBC3+ERERgb/++ktw0LZt2+L33393axMeHo7u3bvb/YWGhqJFixbo3r07unTpgtjYWDz44IPYuXMnTCYTlixZgs2bN9sGXcClAd6KFStsr2fOnInVq1dj3bp12LdvHx5++GGcO3fOtkojIYSQhkeu2Wz3wQ8Ai4uLkStwsadcsxkZDr/AivFXSgNzYA5KaWjoORTp9bL8ldDgyr9I4F1c5uBeg5gYWkHQHbPTp0/jyy+/RNOmTQUFLS0tRVVVlSxhjRo1whdffIGnn34aI0eORFlZGWJjY7Fu3TrcdNNNNjuTyWQ3aBw3bhxOnjyJOXPmoKSkBFdeeSW++uqrOguCEEIIaTgc/GcWhrPjQqa8yPX3tgadD8pXIgZzYA5KxZCbQ4mLLZ+0kIMrbULtmIP4GFpB8FTGSZMmeVMHACArK8vudVxcHD788EO3PocPH65zbNq0aZy6SAghxEankBBRx5X297YGIfuwMQdlYjCH+pFD9MWLssr3pEGOvyttQu2Yg/gYWkHQVMbq6mrRfx07dvS2dkIIIUQQ8QYDZhmNdseSjUbBv6bGGwxIcpgWI8ZfKQ3MgTkopaGh5xBbWSnLXwkNrvxjBW6QzRzca/C3u2WAiot/EEIIIb5kUUwMxkRGSl75a7zZjJSEBFkrh9XWYMrOxryEBMn+zIE5jImMRFpmJqYkJoqOwRzk+9eOoWQO6Tt2yPIXS33JoUleHmIGDOCqjPUVbjCtbplC7ahNmh21edeO2qTZ+aJMHYDCf/6kaHPmL1abDsDxnBykC/hVWUgOYs+HL3NwFYs5KJRDTg4KLRaP0/fUyEFoLDVyqG2jtRykXN98lYO7WGrncDwnB7GVlW77lNBYStspvsF0Q4QbTKtfplA7apNmR23etaM2aXbUJs2O2rxrR23S7KhNmh21SbPTqjahG0wLesaMEEIIIYQQQoj34B0zQggh9Zpcs1nWsws1/iaB+/J4UwNzaNg5yC1fiRj1JYftISGIM5tVbQdyzwFzkK9Ba0gamJlMJqSlpcFkMuGVV15BVFQUvvzyS7Rt2xZXXHGF0hoJIYQQSaw3GJCRn297PctoxKKYGMH+ySbT/zYujYpCuckkyr9ODAka6kMOivo30Bzklq9EjHqVQ0QEVuXn+7wdyO3PdhpUykHRelQwhx6iFGgT0VMZv/vuO/To0QO5ubn46KOPUFZWBgD46aefMHfuXMUFEkIIIVLINZuR4fAr6uLiYuQ6LPPtzr/2B79YfyVi1IccivR62eegoeegxDlgDurnILc/K6VBzb6ghAZX/kUy7qZrBdEDs6effhrz58/H5s2boa91AgYPHowffvhBUXGEEEKIVA5aLKKOK+2vBQ1ayKEkyPnkHObg23PAHNTPQQttWe2+oIQGV3autPkTogdme/bswejRo+scj4qKwl9//aWIKEIIIUQunUJCRB1X2l8LGrSQQ/TFi7L8mYMy54A5qJ+DFtqy2n1BCQ2u7Fxp8ydED8yaNWuGY8eO1Tm+e/duXHbZZYqIIoQQQuQSbzAgyWFqTLLRKPgh8XiDAbOMRsn+SsSoDznEVlbKPgcNPQclzgFzUD8Huf1ZKQ1q9gUlNLjyjxWwL6TWEX3Pb/z48UhOTsb7778PnU6H6upq5OTk4Mknn8Q999zjDY2qwQ2m1S1TqB21SbOjNu/aUZs0O6XLNObkYO6gQSgJCkL0xYuIPXoU6Tt2CI7XA8BcvR4lQUE4kZeH7l27OvV3F6t2jNoalMzBXSy1c8jJycF1LvyZg/Ac5LYjNXJQui8omcO2337DDR07urwmeCsHuf1Z7RyUqANv5aDlzzavbTD9wgsv4JFHHoHRaERVVRW6deuGqqoq3HXXXXj22WfFhtM03GBa/TKF2lGbNDtq864dtUmzU7zMsWMViZdusah33gTkICSWWjkoGYs5SLNR2k5oDlq91qSnpyt2bRBtp1R/VikHRduRwjlotb0J3WBa9MBMr9dj9erVSElJwd69e1FWVobevXsjLi5ObChCCCGEEEIIIZCxwXTbtm3Rtm1bJbUQQgghhBBCSINE0MBs5syZggMuXbpUshhCCCGEEEIIaYgIGpjt3r3b7nV+fj4uXryIzp07AwAOHjyIwMBAXHXVVcorJIQQQlQg12zGQYsFnUJCRK04prS/SeKmqXLLVyJGrtmM7SEhiDObVTmHSsRQOwelzoE/5yC3Lyipgf3Zf9uRPyBoYLZ161bb/5cuXYrw8HCsW7cOzZs3BwCcOnUKU6ZMwQ033OAdlYQQQogPSTaZsLi42PZ6ltGIHjL9F8XESPOPikK5ySTdX0L5SsSw+UdEYFV+vrxzIKF8JWKoncN6gwEZ+fmS/e00qJSD2n3BlQb254bXF/wB0fuYLVmyBAsWLLANygCgefPmmD9/PpYsWaKoOEIIIcTX5JrNdl8gAGBxcTGKBP7SXaTXO/XPddi/SGz5vvIHmIMSGpTwz3C4KyD2HKidg9p14C4G+7P/5KBEX/AXRA/MzGYzTp48Wef4yZMncfbsWUVEEUIIIWpx0GJxerwkSNh6Wa7sXMUVaucrf4A5KKFBbX8taFC7DtzZsj/7Tw5KnAN/QfTAbPTo0ZgyZQo++ugjHD16FEePHsWHH36IqVOnYsyYMd7QSAghhPiMTiEhTo9HX7woyN+Vnau4Qu185Q8wByU0qO2vBQ1q14E7W/Zn/8lBiXPgL4heLn/lypV48skncdddd+HChQuXggQFYerUqXjxxRcVF6gmGzZsQJMmTdzaKLkruJZ3LKc2aXbUJs1Oy9qE2lGbNDutaEsyGOymztxsNuP41q1Ir6z0GOt4Tg6Sbryxjn/hpk0oFKjNWfmO/mL1F27aJPh8MAdt5HDl2bMo6NpVsn61c1CjDoTmwP7sXzko0RfUtCsvLxcUS/TALCQkBK+//jpefPFFmEwmAEBMTAxCQ0PFhtI848aNg0HAqi9a3U1daTtqk2ZHbdLstKxNqB21SbPTgraJqLsCWLrZLDzWqFGCVhBzFa92+absbMwbO1a2fk9leiuHtMxMTElMFLSKGnNwID0dcX36SNavhRzU6AtCcmB/bnh9QU07s9mMBx54wGMcyRtMh4aGomfPnlLdCSGEEE0TbzDIWpJZKX8hv+p7o3wlYsQbDCi0WCTHYA7KnQN/zkFuX1BSg1x/9md1+4LWET0wGzRoEHQ6ncv3v/32W1mCCCGEEEIIIaShIXpgduWVV9q9vnDhAgoKCrB3715MmjRJKV2EEEIIIYQQ0mAQPTB7+eWXnR6fN28eysrKZAsihBA1yDWbsT0kBHFms6SpEkLm7ns7hto5KHEO1Mbf60CJGGrnoNQ58OccbM8jCdxrS+nylYjh73VQE8Ofc5DbjojvkfyMmSMTJ07ENddcg5deekmpkIQQ4hOSTaZLm19GRGBVfj5mGY1YFBMj3v8fZhmN6CFVQ60YkjSolINc/VpAi3Ug9hxqMQdftyN/z8HOPyoK5SYT25FI//UGAzLy8yX722lQKQe12xFRB9H7mLlix44daNy4sVLhCCHEJ+SazXYffgCwuLgYuWazLP8iEb9QekuDr3Io0utlla8F5Oagdh1qQYMW2pG/56B2HQL+n0Ou2Wy3LLtYf6U0yPFXuw6IeogemI0ZM8bub/To0bj22msxZcoUPPjgg97QSAghXuOgxSLquFC7kiDhExK8pcFXObiyE1q+FpCbg9p1qAUNWmhH/p6D2nUI+H8O9aEvqV0HRD1ET2U0GAx2qzIGBASgc+fO+Pe//41hw4YpKk5tuMG0umUKtaM2aXbUdgmTXg9ERdU9np3tclnj2vFc+Z/Iy0O6gA/BnJwctBKgQckcHGPJzeHEvn3A0KEey9da3ddGSA5qtCNTdjaOCzxvvm5HQnPwZTvy9xzUbkeA/+cgtHwt92c16sBdPLE2atlpWZvXNpheu3atWBe/hRtMq1+mUDtqk2ZHbZcod5jLn2w0Yl5CguB4zvy7d+0qXNvYsYI0KJmDYyxZOaSnI85oFFS+1urehsAcfN2O5iUkIL2yUth5U6EdCcnB1+3I33NQux3Vhxx+3LTJbjqjVtqR4BxUqgN38cTaqGWnVW1e22C6Y8eO2LVrF1q0aGF3/PTp0+jTpw9+++03sSEJIURVFsXEYExkJNIyMzElMVH06lc1/rVXz0rfsUN2DCn+auUgV78W0GIdiEWLOfi6Hfl7DrX9TdnZgr5MK1m+EjHU7gvjzWakJCRorh2p5S+lHRF1ED0wO3z4MKqqquocP3/+PP744w9FRBFCiK+JNxhQaLFIHlDEGwyyByNyY6idgxLnQG38vQ6UiKF2DkqdA3/Oocbf3bQzb5avRAx/r4OaGP6cg9x2RHyP4IHZpk2bbP//+uuv0bRpU9vrqqoqbNmyBe3bt1dUHCGEEEIIIYQ0BASvynjrrbfi1ltvhU6nw6RJk2yvb731VowfPx6bN2/GkiVLJAtZuHAhdDodZsyYAeDSnTmdTuf07/3333cZZ/LkyXXsR4wYIVkXIYQQQgghhHgbwXfMqqurAQAdOnTArl270LJlS8VE7Nq1C6tWrULPnj1tx4xGI44dO2Zn95///AcvvvgibrzxRrfxRowYgbS0NNvr4OBgxbRqBSV3k1dLg79TpNfj7ZISWfnXnEOTiD2vnPkr0Q7UaEdKtCF/z0FuO1K7DQDK5qAGuWYztoeEIM5sVu0cNvR2JLcOlNKgZg5q66+J4c85+Ptnak0Mf64DIg/Rz5gdOnRIUQFlZWWYMGECVq9ejfnz59uOBwYGIjo62s72448/xtixYxEWFuY2ZnBwcB3f+oTcHe0dd5NPMhggbM0Z1zHEavB3kk0mLI6KAvbvByAtf7tzGBWFcpNJVj2K1aB2O1KiDfl7DnLbkbPyewj2VqYOlM5ByvVIDrbyIyKwKj/f53XgKkZDakdy68CVBn/KQbHyJfrbxVCpLyh6DvzwM9VOg0rtSIkciDwETWVcvnw5KioqbP939yeWRx55BElJSUhMTHRrl5eXh4KCAkydOtVjzKysLERFRaFz5854+OGHUVpa6tb+/PnzMJvNdn9aRe6O9s52g88wGETtBt/Qd5RXIn+5MZTwV7MdKXUO/TkHb/kXCfylWKvtWOz1SA5q14E3NfgqhyK9XlX97mL4Sw5y/eXqV0JDQ68DuZ9HSmlQOwciH0F3zF5++WVMmDABjRs3xssvv+zSTqfT4bHHHhNc+Pr165Gfn49du3Z5tF2zZg26du2K/v37u7UbMWIExowZgw4dOsBkMuFf//oXbrzxRuzYsQOBgYFOfRYsWIDU1NQ6x7W4wfT2kBAgIqLO8bTMTBQ6bH7pLJ4Yf1ex3MXQNYANBeXWgdgYzuJ58vd2DlL118STq1+sBi3mILZ8x3iu/Lf99hvS09Nl63dWpq9yEFoHQnBnp2Yd1MSTWw9q57Dt6FGnG9l6S7+zeP6eg9zPVCH6Hct0xFs5KFkHjmX6Qr/QOlDre4EaOWh5E2cta1N0g+na0xeVmspYXFyM6dOnY/PmzWjcuLFb2/Lycrz77rtISUnxGHf8+PG2//fo0QM9e/ZETEwMsrKyMGTIEKc+s2fPxsyZM22vzWYzjEajJjeYjjObsarWbeYaXO2x4RhPrL+zWO5iFFos9X5DQbl1ICWGYzwh/t7MQY5+AIhLTJSlX4oGreUgpfza8Vz539CxIyaOHauIfscy68TwUg5C60Buf1a7DgD59aB2DkUbN+JbJ8e9qd8xnr/nIPczVaj+2mU64q0clK6D2mXWRu06UPN7gRo5aHUTZ7XKFGIndINpwasy1vDvf/8bFicj9/Lycvz73/8WHCcvLw8nTpxAnz59EBQUhKCgIHz33XdYvnw5goKC7PZK++CDD2CxWHDPPfeIlYuOHTuiZcuWKCoqcmkTHBwMg8Fg96dV4g0GJDncVk42GgU/oBlvMGCW0Wh37GaRD5g6iyFGg7+jRP5yYyjhr2Y7Uuoc+nMO3vKPFbhfjVbbsdjrkRzUrgNvavBVDrGVlarqdxfDX3KQ6y9XvxIaGnodyP08UkqD2jkQ+Yhe/CM1NRUPPfQQQhxWz7JYLEhNTcWcOXMExRkyZAj27Nljd2zKlCno0qULkpOT7aYdrlmzBqNGjUJkZKRYuTh69ChKS0vRunVr0b5aRe6O9o67yRfW2qNOaoyG1nEXxcSgSV4eYgYMkJx/7XNoys7GvIQEyf5SNKjdjpRoQ/6eg9x25Kz89B07fKa/JoaSOUi5Hsmhpvy0zEzBd+qc+UutA1cxxPr7czuSWweuNPhTDkqVL7cvq9kXlDwH/viZWluDWu1IiRyIPEQPzKxWK3Q6XZ3jP/30EyKczE11RXh4OLp37253LDQ0FC1atLA7XlRUhOzsbHzxxRdO43Tp0gULFizA6NGjUVZWhtTUVNx2222Ijo6GyWTCrFmzEBsbi+HDhwvW5g/EG5TbTb5QJQ3+TmxlJSbKXP2z5hymi/iF3Zm/3PKV8JfSjpRoQ/6eg9x2pHYbAJTNQer1SA7xBgMKLRbJ50EL7djf25HcOlBKg5o5qK2/JoY/5+Dvn6k1Mfy5Dog8BA/MmjdvbtuwuVOnTnaDs6qqKpSVleGhhx5SXOCbb76Jyy+/HMOGDXP6/oEDB3DmzBkAl5bY//nnn7Fu3TqcPn0abdq0wbBhw/Dcc8/Vy73MCCGEEEIIIfUDwQOzZcuWwWq14t5770VqaiqaNm1qe0+v16N9+/bo16+fLDFZWVl1jr3wwgt44YUXXPpYrVbb/5s0aYKvv/5algZCCCGEEEII8TWCB2aTJk0CAHTo0AH9+/dHo0aNvCaKEEIIIYQQQhoSop8xGzhwoO3/FRUVqHSYx6vlFQ3JpQ0E5T7UKTdGrtmM7SEhiPPh6mtKUpO/ScQmss785Zw/JepQTh2onYPadVCk1+PtkhJF+pG/tqPa/lJQuw60cC1UMgcpqH0t10IdqJ2Dv+tXIobaOfj755GSdSg1B6IcogdmFosFs2bNwsaNG1FaWlrn/drL3Ps7WtxgWo7deoPBblf3JLMZ481mUdpcxRCqzeYfEYFV+fl1/D3lINVGKTu7/KOi8OOmTaL0y6kDAFhy9iwKau0z4ur8CcpBYh34Igcl68Axnrs2LCSH9QYDMqKigP37XerXeg5y25Fj+VeePQsI3FBZCf1C68BVPGflG0Vea7SWg5J1ICQHMdcRJeugPuXgSb+nHNS+lgvJwdvfCeR+r1GsDgBFr+WqfCcQmIOWN3HWsjZFN5iuzVNPPYWtW7fijTfewN13343XXnsNf/zxB1atWoWFCxeKDadptLjBtFS7XLMZGQ4bB2YYDEj5ZzlZIfHiRo1yGaP2rzSuYrnT4O5XHq1sKChXv9w6yDWb7S7Ansr39xyU1F8TT4i/uxzElq/VHOS0I2flF3Ttirg+fQT9WivkOqJkHTjGc+U/d9AgQRvhqtGOhOSgdB24y0HtOqgPORTp9VjpUI4vroVKficQmoO3vhPIzUGtOqiJVx++E3iCG0z/D69tMP3ZZ5/h9ddfx2233YagoCDccMMNePbZZ/HCCy/gnXfeERuO+IiDTjYFd3fcGzGU0KAmaudfH+qwoftrQQP9nduVBAn/nVKrOfi7f32oA6E5uLJTW7+Ya5m/5+Dv+rXweUSUR/TA7O+//0bHjh0BXHqe7O+//wYAXH/99cjOzlZWHVEMV88giHk2QW4MJTSoidr514c6bOj+WtBAf+d20RcvCvL3poaG7l8f6kBoDq7s1NYv5lrm7zn4u34tfB4R5RE9MOvYsSMOHToE4NLmzhs3bgRw6U5as2bNFBVHlCPeYMAso9HuWLLRKOpBUbkxlNCgJmrnH28wIMlh3re/1aHcHLSg39/7kTfq4GYRD+1rIX9n/rEiNqTVYg6sA//KIbayUpP6xVzL/D0Hf9evhe8ERHlEP2M2ZcoU/PTTTxg4cCCefvppjBw5EitWrMCFCxewdOlSb2gkCrEoJgZjIiNlrd4jN0aNf1pmJqYkJvpd56+dvyk7G/P+mQsuxV/K+RtvNiMlIUGROpRaB2rnoHYdLIqJQZO8PMQMGKBIP/LHduRYfuGmTbL8fV0HzspP37FDdgyx/krmoEYdKH0dUaMO1MxBi/rF4u85KOnvj9dyRw1SciDKInpg9vjjj9v+n5iYiP379yMvLw+xsbHo2bOnouKI8sQbDLIHQ3JjxBsMKLRY/G5QVkNN/ukift115i+3fDnIrQO1c1C7DmIrKzExOlqyf20N/tqOavsXqlC+3DrQwrVQyRzUqAO1ryNKxFA7B3/Xr0QMtXPw988jJetQag5EOURPZXSkXbt2GDNmDCIiIgStNkIIIYQQQgghxB7ZA7MaSktLsWbNGqXCEUIIIYQQQkiDQfRURuKfyN0Zvkivx9slJYrsLC91tR+1c5BbvhL+20NCECfiIX+ly5fjXxPDn3Oo8Tfp9aJ9lSzfX/UrEUPtHJT0l4K/XweViKF2Dg39Wq52H1QiButAfh0Q78CBmRs2bNiAJk2auLXxhx3LPe1s7yneeoMBGVFRwP79Tv2FaHPUcOXZs0B6uiI5CDkfcnNwVr5RRJ0qUgcGAxARgVX5+W71O4snVX9NLE/6lc5ByTpQKgc7/6go/Lhpk+w6GG82C+7PS86etdtM1NX5E9QHBeh3jCW3DwrNQck6UDoHResADe86WB9yaOjXcrWvg4rmoGAdKH0t1/J10FvfVZWw07K28vJyQbE4MHPDuHHjYBDwS4KWdyyPGzVK0K7uruJJ2RXeMZazGAVduyKuTx9Bv9QIycHd+ZCbgyv/uYMGYeLYsYrod5eDFP2148nVX6TXY6VDOa7K91Y7UjsHb9VByj+rX3nqz7lms90HuafyhfRBIfprYgnxVzIHJetAqRy8UQcN6TqoVB3wWt5wr4P1IQd/vw6606YVO61qM5vNgtbiEPyM2ZgxY9z+1V6tkWiH+rCzvFb9S4KE/a7h7/pd2WmhDfgqB63Wob/4a0ED/dXtg97UwGt5w7gOAv6fg7/7E+8j+IratGlTj+/fc889sgURZakPO8tr1T/64kVVy/eVfld2WmgDvsrBm3UoZJlzrbYhLbQB+vvHdcSbGngtbxjXQcD/c9BqG5L6zCtRHsF3zNLS0gT9EW0Rb1B3Z3pXMW4W8cCt2jm48o8VuN+Hv+uPraz0Shvwpxy0UIdJDs8Q+JP+mhj+nIM39Dek66A3NfBa3jCug4D/5+Dv10HiffiMWQNAiZ3tm+TlIWbAAEV2lu8UEoLCTZtk+fs6B2flp+/Y4VP9YyIjkZaZiSmJiX6nv3YMf82htr8pOxvz/nmmwFfljzebkZKQ4Lf6Af/PQUn9DfE66CqGWH9ey9XXr+Z1RIt1IAZ/vw4S78KBWQMh3iBvZ/jYykpMjI5WTIPQaQuu/KUgNwe55SvhX2ixSI6htv6aGP6cQ41/uoi7BN4oX66/WvqViKF2Dkr6N8TroBIx1M6hoV/L1e6DSsRgHcivA+IdFNtgmhBCCCGEEEKINDgwI4QQQgghhBCV4VRGN9SXDaaVsKM2aXbUJs1Oy9qE2lGbNDtqk2ZHbd61ozZpdtQmzY7apNlpWRs3mFYALWwwnWs2O31AU8wG00Ie8HS3IeZBiwWt9HpBG1g6i+WLHDxtSionB1f6PZUrRr+7WLXLF1pmbTu5+ov0elgFPmjvakNMx/LF9AV3+oXEyjWbsT0kBHECH/JWsv1qOQcx7ciTfk/xxPbB+nYd9FUf9NY1xDFGfbsOComn1nWwxk6L1xChOahxDRGaA6+DnsuVaqOWnVa1Cd1gmgMzDZNsMmFxcbHt9SyjEYtiYgT7rzcY7HZ4F+tvV35UFMpNJlH+dWJI0KB2DprSDyDJYICwS4Rzf0nlR0UB+/dL93cov4dgb4X0FxcDERFYlZ+viH5f9wFv5KBKHQD+3wdV0K90HxR7DXEWg9dBP+2DKl0H1b6GuNLA66C4c0h8A58x0yi5ZrNdJwSAxcXFyHXY/8Kdf4bDLyJi/eWUr0QMtXPQov4Mg8Gv8nfmX6TXq1q+v/UBNeugSK/XpP6GdA1R2l/MNUQpDbwONtw+qLZ+dzEaSh3I7YPEt3BgplEOWiyijmvNXwsa6K9N/5IgYTfqtaq/PvQBoXXgyk5t/fRnG/Z3/4bSB9XW7862odSBEueQ+A4OzDRKzTx6oce15q8FDfTXpn/0xYuqls8+ILwOXNmprZ/+bMP+7t9Q+qDa+t3ZNpQ6UOIcEt/BgZlGiTcYMMtotDuWbDQK3hAw3mBAksNtarH+cspXIobaOWhR/81ms1/l78w/VuCGmFrV7+s+oGYdxFZWalJ/Q7qGKO0v5hqilAZeBxtuH1Rbv7sYDaUO5PZB4lu4+IeGWRQTgzGRkYJW0XHGeLMZKQkJkv1rl2/Kzsa8hARR/o4x/DEHLenvFBKCwk2bZPlLKb9JXh5iBK5GJqT89B07fKp/TGQk0jIzMUXgamRKlq9EDG/koEYd1Ic+qIZ+pfug2GuIsxi8DvpnH1TrOqj2NcSVBl4HiRbhwEzjxBsMsjqQUv7pAn9Z8qYGuf5Sc9CKfgAoVKH82MpKTIyOluyvhfNXaLFIjiG3fCViqJ0D+6C6+pXsg1KuIY4x1PbndVCaf0O+hiipQa6/v14HiW/gwMwN3GBa3TKF2lGbNDtq864dtUmzozZpdtTmXTtqk2ZHbdLsqE2anZa1cYNpBdDCBtNasqM2aXbUJs1Oy9qE2lGbNDtqk2ZHbd61ozZpdtQmzY7apNlpVRs3mG7g5JrN2B4SgjiRD3rX9pczF1muf00Mf86hPug/aLHAJHCvF2+Vr4R/Q4TtV932q0QMtXPwd/1Fej3eLilR7RrCPuj/+v25/9WOITUH4ns4MKuH2HaIj4jAqvx8eTvU49IO8T2klF/LX+wO8/6egzf0i/FfbzAgIz9fsr9d+VFRKDeZ/Fc/gCSDAcJ+86of+Hv7VdRfhfarRAy1c/D3a0iyyYTFUVHA/v3S/WVcQ7TYB/kZ6D/tV67+Ohok5EDUgcvl1zO8tcN8kcBfW4r0elnlu9PgLzl4S78Y/wyHX9cauv4Mg0FUG/Rn/L39+rt+wP9zqA/XEKX9xVxDtKifn4ENR78SGoh6cGBWz/DWDvGudr4Xaidmh3l/z8Fb+unvG39/x9/br7/rB/w/B/rXT39+BjYMf6ViEHXQzMBs4cKF0Ol0mDFjBgDg8OHD0Ol0Tv/ef/99l3GsVivmzJmD1q1bo0mTJkhMTERhodQFgv0Pb+0Q72rne6F2Yubo+3sO3tJPf9/4+zv+3n79XT/g/znQv3768zOwYfgrFYOogyYGZrt27cKqVavQs2dP2zGj0Yhjx47Z/aWmpiIsLAw33nijy1iLFy/G8uXLsXLlSuTm5iI0NBTDhw9HRUWFL1JRnXiDd3aYjxW470ZsZaWs8t1p8JccvKVfjH+Sw3SFhq7/ZokPn/sj/t5+/V0/4P851IdriNL+Yq4hWtTPz8CGo18JDUQ9VF/8o6ysDBMmTMDq1asxf/582/HAwEBEO2zm+PHHH2Ps2LEICwtzGstqtWLZsmV49tlnccsttwAA3nrrLbRq1QqffPIJxo8f771ENETNDvFpmZmYkpgouiM622E+fccOWf5i8fccvKFfDOPNZqQkJMjWf9BigSk7G/MSEiT7q62/U0gICjdtEuXv7/h7+1XSX432q0QMtXPw92vIopgYNMnLQ8yAAapcQ7TYB/kZKK18f+x/jhqk5EDUQfWB2SOPPIKkpCQkJibaDcwcycvLQ0FBAV577TWXNocOHUJJSQkSExNtx5o2bYr4+Hjs2LHD5cDs/PnzOH/+vO21uR48HBlvMKDQYpH860i8Qf0d5v09h/qgP95gQLrAX1m9Vb4S/g1nMvP/YPtVt/0qEUPtHPxdf2xlJSY6/MArtXwp1xD2Qf/X78/9r3YMqTkQ36PqwGz9+vXIz8/Hrl27PNquWbMGXbt2Rf/+/V3alJSUAABatWpld7xVq1a295yxYMECpKam1jm+YcMGNGnSxK2uhrJjObVJs6M2aXZa1ibUjtqk2VGbNDtq864dtUmzozZpdtQmzU7L2srLywXFUm1gVlxcjOnTp2Pz5s1o3LixW9vy8nK8++67SElJ8YqW2bNnY+bMmbbXZrMZRqMR48aNg0HArxUNYcdytcoUakdt0uyozbt21CbNjtqk2VGbd+2oTZodtUmzozZpdlrVZjab8cADD3iMo9rALC8vDydOnECfPn1sx6qqqpCdnY0VK1bg/PnzCAwMBAB88MEHsFgsuOeee9zGrHkm7fjx42jdurXt+PHjx3HllVe69AsODkZwcLCMbAghhBBCCCFEOqoNzIYMGYI9e/bYHZsyZQq6dOmC5ORk26AMuDSNcdSoUYiMjHQbs0OHDoiOjsaWLVtsAzGz2Yzc3Fw8/PDDiudA6lKk1+PtkhLJD6vmms2yHnZVwn97SAjiJK7iJ7d8JWLIzYH4N0r2QSnIbb+8hqiv/6DFApPAzYi9VT7bL9tvQ26/UvUT/0e1gVl4eDi6d+9udyw0NBQtWrSwO15UVITs7Gx88cUXTuN06dIFCxYswOjRo237oM2fPx9xcXHo0KEDUlJS0KZNG9x6663eTIcASDaZsDgqCti/HwAwy2jEopgYcf61dqqfZTSih9jyHfwllR8RgVX5+T7X7yqGL3Mg/o3SfTDJYICwSRzO/SWVz2uI/PKV8I+KQrnJ5NPy1xsMyMjPl+zP9qu99quKfsD/268E/aR+oIl9zNzx5ptv4vLLL8ewYcOcvn/gwAGcOXPG9nrWrFl49NFH8cADD6Bv374oKyvDV1995fE5NiKPXLPZ7oIGAIuLi5ErcIVLV/5FAn818lb5vtLvTQ1C/Yl/4432k2EwqN6HfNUHi/R6TeoX6u/v+nPNZmQ43GFg+204n4Fsv/z8JpfQ1MAsKysLy5Ytszv2wgsv4MiRIwgIcC7VarVi8uTJttc6nQ7//ve/UVJSgoqKCmRmZqJTp05eVE0A4KDFIuq4ULuSIGE3db1Vvq/0e1ODUH/i36jdfrTqL7QPurJTW79Qf3/XT/+G/RnI9svPb3IJTQ3MiP/iaj6/0Hn+ruyiL15UtXxf6femBqnPWhD/Qu32o1V/oX3QlZ3a+oX6+7t++jfsz0C2X35+k0twYEYUId5gwCyj0e5YstEo+OFXV/6xAjdF9Fb5vtLvTQ1cAKRh4I32c7OIBQDUbr9y+2BsZaUm9Qv193f98QYDkhymbbH9NpzPQLZffn6TS6i6wbTW4QbT4mx6ABi9bx+irroK0RcvIvboUaTv2CE4Xg8Ac/V6lAQF2fzFaHPmX7t8T7Fq/Lf99htu6NjRrX5n8aTqVysHf29vWrdTo0yhfdBVLMf2d3zrVqQLeMZByfarxjWkJt51CuhX+hqSvmOH4PbmSb+nHGqXfyIvD927dnWr3zGeHP0AYMzJwdxBg9zqd5eDN9svPwM95+Dt/ucpB7HtV8n+ByjbfqX0P1/Z8XNXmp3mN5j2B7jBtIRY6emYOGaMYmUKtVMyVnp6OiaOHatYPDXqSmgOft/eNG6nijaBfVBQO6qs9H0OKl1DhNqpcQ0RaqfoNcRiUUebgudN6fbLz0Bp8VT5DBTYfhXXptB5U7r/KW1HbeLthG4wzamMhBBCCCGEEKIyHJgRQgghhBBCiMpwKiMhGqBIr8fbJSXoFBIi6WHfXLMZBy0Wyf6kYSO3/SjZfqUgV3+u2YztISGIE7FYhNLlN3T9By0WmETs+6hk+f7eftX+/GD7Vbf9kvoFB2aEqEyyyYTFUVHA/v0AgFlGIxbFxIjzr7Ux5SyjET0UV0nqK87aj+j2p2D7TTIYIGxGv3N/yeVHRGBVfr7P+58W9YvxX28wICM/X7K/XflRUSg3mXyqv160XxU/P/y9/Srqr0L7JfUPTmUkREVyzWa7izIALC4uRq6AlcTc+RdJ/OWONCy81f7k+GcYDKqW78v+V6TXa1K/GP8Mh1/4/U0/22/Dbb/+rp/UTzgwI0RFDlosoo4LtSsJ4s1w4hlvtb+G7i+0/7myU1s//Ru2f0Npv/6un9RPODAjREVcPZMg9FkFV3bRFy9K1kQaDt5qfw3dX2j/c2Wntn76N2z/htJ+/V0/qZ/wZ3U3cINpdcsUaufv2pIMBrvpQDebzSjctAmFAuM58z++dSvSKytla1PLTsvahNr5izZ37U+N9nvlr7+i8OhRp/7OYnkq31MOavU/ADiek4OkG2/0WL67HMTodxbLlb/Q9nbl2bMo6NrVZ/od4/mq/bqKxfbrvv0qqd9ZPDntV43+5xhPbv9T+/NDa3Za1sYNphWAG0yrX6ZQO3/WNhHAvI0bETNggKBVmRzjTUTdVZ3SzeZ6f978wc4ftDlrP2JiKd1+C48eFZWnJ/2ecqjxT8vMxJTERJ/2PwCYOGqUoFXZXMUTq98xlrvzJ3RD5bg+fWTrP2ixwJSdjXkiN+j1Zft1FksL7Vetzw9AWPtVsv85xpPbfpXqf95ov/7w+aFFO61qE7rBNAdmhGiA2MpKTIyOluwfbzBwmV0iGbntR8n26+lOgyd/qeUXWiySYyhRfkPXH28wCLpL443y/b39qv35wfarbvsl9Qs+Y0YIIYQQQgghKsOBGSGEEEIIIYSoDAdmhBBCCCGEEKIyfMaMEEKIKgh56N5b/mqWXeO/PSQEcWazauUr4W+SuJm9VvRLXZpcbvlFej3eLinxW/31of36s35Sf+HAjBBCiM9JNpmwuLjY9nqW0YhFMTGC/dcbDMjIz5fk76zsHoJLlq/d5h8RgVX5+dL9a5Wvin4AiIpCuckkW7+v6t5Z+UkGA4Stu+bcX1L5UVHA/v3S/dXWXx/ar4L6fdl+Sf2GUxkJIYT4lFyz2e6LDQAsLi5Grtks2D/D4Vdmof6uyi4SeOdHCe3e8Beqv0iv16R+X9S9q/IzDAa/yr++6Wf7Fe5P6j8cmBFCCPEpBy0WUceV9HdlUxIkbAKJmtrd2QnV78pObf30b9j+bL/C/En9h1MZ3bBhwwY0adLErU1D2bGc2qTZUZs0Oy1rE2pHba7tTHo9EBVV531TdjaOC4jlzt9xLyFHba58T+TlId3Dl6OcnBy0ElC2u/MhRruzHOToB4AT+/YBQ4d6LN9VDt7S74u6l6q/dixP/p76gtjyhbZfT/prYvm6/SrZ/4CG037VvkZrrUyhdlrWVl5eLigWB2ZuGDduHAwid6GXa6fVHcvVKlOoHbVJs6M279pRm2u7cofnNJKNRsxLSEB6ZaWgWD9u2mQ3JajGX4g2Z2V379pV2HkbO9aldndleirflXZn8eToR3o64oxGQeW7iucN/b6qe2fl32w2Y97YsR7L9dR23ZXprnxP589T+xWqH1Cn/SrZ/xpS+1X7Gq21MoXaaVWb2WzGAw884DEOB2aEEEJ8zqKYGIyJjJS8Mtl4sxkpCQmS/J2Vnb5jh8+01/inZWZiSmKiZH+19R+0WGDKzvb4pVbp8uXUvbPyCzdtkuUvpfwmeXmIGTDAb/XXh/arpH4xyG2/pH7DgRkhhBBViDcYZH0pkeOvZtk1/oUWi1/rjzcYPE6f83b5SvgXqlB+bGUlJkZHS/ZXW399aL/+rJ/UX7j4ByGEEEIIIYSoDAdmhBBCCCGEEKIynMpICCGE+Ihcs9n2bIlcf7FToXLNZmwPCUGc2SxpGpWcspX0Nwnc88pb5SvhLwW55RNCtA8HZoQQQogPSHZYzS3JYICw9b6c+88yGrEoJkacb0QEVuXni/KVW7bi/lFRKDeZfFr+eoMBGfn5kv3VrHtCiP/AqYyEEEKIl8k1m+2+WANAhsGAXLNZsv/i4mJB/nJ8lfAv0utVLV8J/wyHO1Ryy/dV3RNC/AveMXMDN5hWt0yhdtQmzY7avGtHbdLs6qu27SEhQEREneNpmZkoFLCxtSd/d9qklF07njt/nYBzsu3oUaeb6jqW7yoHqeeuJp6ccye2fK3VvSdt3rajNml21CbNTsvauMG0AnCDafXLFGpHbdLsqM27dtQmza4+aoszm7Gq1lS4GoTuoxSXmOjR35U2qWXXxHPnX2ixeDwnRRs34lsnx52V7yyWnHM3ceJEQf7uchBbvpbq3pM2X9hRmzQ7apNmp1VtQjeY5lRGQgghxMvEGwyYZTTaHbtZxCIczvyTjUZB/nJ8lfCPraxUtXwl/JMcpg3KLd9XdU8I8S94x4wQQgjxAYtiYjAmMtK2sl7hpk2y/MV8Ma/xTcvMFHynRqmylfY3ZWdjXkKCT8sfbzYjJSFBsfx9WfeEEP+BAzNCCCHER8QbDLYv1YUy/aX4FlossvzlDAiU8k+vrFS1fCX8fV33hBD/QDNTGRcuXAidTocZM2bYHd+xYwcGDx6M0NBQGAwGDBgwwO0DdPPmzYNOp7P769Kli5fVE0IIIYQQQoh0NHHHbNeuXVi1ahV69uxpd3zHjh0YMWIEZs+ejVdffRVBQUH46aefEBDgfjx5xRVXIDMz0/Y6KEgTaRJCCCGEEEKIU1QfsZSVlWHChAlYvXo15s+fb/fe448/jsceewxPP/207Vjnzp09xgwKCkJ0dLTiWgkhhBBCCCHEG6g+lfGRRx5BUlISEhMT7Y6fOHECubm5iIqKQv/+/dGqVSsMHDgQ27dv9xizsLAQbdq0QceOHTFhwgQcOXLErf358+dhNpvt/gghhBCiLrlmM94uKZG8mbJS/kV6vSrlE0IaFqreMVu/fj3y8/Oxa9euOu/99ttvAC49M/bSSy/hyiuvxFtvvYUhQ4Zg7969iIuLcxozPj4ea9euRefOnXHs2DGkpqbihhtuwN69exEeHu7UZ8GCBUhNTa1znBtMq1umUDtqk2ZHbd61ozZpdtQmza4+altvMCCj1mIXSWYzxpvNguMtOXsWBbX2/6rxF6rPrvyoKPy4aZNTf1exXOl3V6ZQbWJt1LKjNml21CbNTsvaNL/BdHFxMaZPn47NmzejcePGdd6vrq4GADz44IOYMmUKAKB3797YsmUL3nzzTSxYsMBp3BtvvNH2/549eyI+Ph7t2rXDxo0bMXXqVKc+s2fPxsyZM22vzWYzjEYjN5jWQJlC7ahNmh21edeO2qTZUZs0u/qkLddsRobDpsoZBgNS/lkm31O8XLPZblBW21/IptDuyheyqbUQf9a9+nbUJs2O2sTbaX6D6by8PJw4cQJ9+vRBUFAQgoKC8N1332H58uUICgpCq1atAADdunWz8+vatavHqYm1adasGTp16oSioiKXNsHBwTAYDHZ/hBBCCFGHgxaLqOP1zZ8Q0jBRbWA2ZMgQ7NmzBwUFBba/q6++GhMmTEBBQQE6duyINm3a4MCBA3Z+Bw8eRLt27QSXU1ZWBpPJhNatWyudAiGEEEK8QKeQEFHH65s/IaRhotrALDw8HN27d7f7Cw0NRYsWLdC9e3fodDo89dRTWL58OT744AMUFRUhJSUF+/fvt5uSOGTIEKxYscL2+sknn8R3332Hw4cP4/vvv8fo0aMRGBiIO++8U400CSGEECKSeIMBs4xGu2PJRqPgDZbjDQYkOTwPJtZfbvly/AkhDRPVl8t3x4wZM1BRUYHHH38cf//9N3r16oXNmzcjJibGZmMymfDXX3/ZXh89ehR33nknSktLERkZieuvvx4//PADIiMj1UiBEEIIIRJYFBODMZGROGixoFNIiOhBzXizGSkJCZL9a5dvys7GvH+eb5PiL6V8QkjDQ1MDs6ysrDrHnn76abt9zBw5fPiw3ev169crrIoQQgghahBvMMga0Cjln15ZqUr5hJCGher7mBFCCCGEEEJIQ4cDM0IIIYQQQghRGU1NZdQa3GBa3TKF2lGbNDtq864dtUmzozZpdtTmXTtqk2ZHbdLsqE2anZa1aX6DaX+AG0yrX6ZQO2qTZkdt3rWjNml21CbNjtq8a0dt0uyoTZodtUmz06o2zW8wTQghhBBCCCHkEhyYEUIIIYQQQojKcGBGCCGEEEIIISrDgRkhhBBCCCGEqAwHZoQQQgghhBCiMhyYEUIIIYQQQojKcGBGCCGEEEIIISrDfcycYLVaAVzac8AT5eXlitkpGYvatGFHbfVPm1A7aqM2atO+NqF21EZt1EZtcuxq3q8ZY7hCZ/Vk0QA5evQojEaj2jIIIYQQQggh9YTi4mJcfvnlLt/nwMwJ1dXV+PPPPxEeHg6dTqe2HL/BbDbDaDSiuLgYBoNBbTkNFtaD+rAOtAHrQX1YB9qA9aANWA/qo1YdWK1WnD17Fm3atEFAgOsnyTiV0QkBAQFuR7PEPQaDgRccDcB6UB/WgTZgPagP60AbsB60AetBfdSog6ZNm3q04eIfhBBCCCGEEKIyHJgRQgghhBBCiMpwYEYUIzg4GHPnzkVwcLDaUho0rAf1YR1oA9aD+rAOtAHrQRuwHtRH63XAxT8IIYQQQgghRGV4x4wQQgghhBBCVIYDM0IIIYQQQghRGQ7MCCGEEEIIIURlODAjhBBCCCGEEJXhwIyIJjs7GyNHjkSbNm2g0+nwySef2L1vtVoxZ84ctG7dGk2aNEFiYiIKCwvVEVtP8VQHH330EYYNG4YWLVpAp9OhoKBAFZ31HXf1cOHCBSQnJ6NHjx4IDQ1FmzZtcM899+DPP/9UT3A9xVN/mDdvHrp06YLQ0FA0b94ciYmJyM3NVUdsPcVTHdTmoYcegk6nw7Jly3ymr6HgqR4mT54MnU5n9zdixAh1xNZThPSFffv2YdSoUWjatClCQ0PRt29fHDlyxPdi6zGe6sGxH9T8vfjii+oI/gcOzIhozp07h169euG1115z+v7ixYuxfPlyrFy5Erm5uQgNDcXw4cNRUVHhY6X1F091cO7cOVx//fVYtGiRj5U1LNzVg8ViQX5+PlJSUpCfn4+PPvoIBw4cwKhRo1RQWr/x1B86deqEFStWYM+ePdi+fTvat2+PYcOG4eTJkz5WWn/xVAc1fPzxx/jhhx/Qpk0bHylrWAiphxEjRuDYsWO2v/fee8+HCus/nurAZDLh+uuvR5cuXZCVlYWff/4ZKSkpaNy4sY+V1m881UPtPnDs2DG8+eab0Ol0uO2223ys1AErITIAYP34449tr6urq63R0dHWF1980Xbs9OnT1uDgYOt7772ngsL6j2Md1ObQoUNWANbdu3f7VFNDxF091LBz504rAOvvv//uG1ENECH1cObMGSsAa2Zmpm9ENTBc1cHRo0etl112mXXv3r3Wdu3aWV9++WWfa2tIOKuHSZMmWW+55RZV9DREnNXBuHHjrBMnTlRHUANFyOfCLbfcYh08eLBvBLmBd8yIohw6dAglJSVITEy0HWvatCni4+OxY8cOFZURoj5nzpyBTqdDs2bN1JbSYKmsrMR//vMfNG3aFL169VJbToOhuroad999N5566ilcccUVastp0GRlZSEqKgqdO3fGww8/jNLSUrUlNRiqq6uRkZGBTp06Yfjw4YiKikJ8fLzbqb/E+xw/fhwZGRmYOnWq2lI4lZEoS0lJCQCgVatWdsdbtWple4+QhkhFRQWSk5Nx5513wmAwqC2nwfH5558jLCwMjRs3xssvv4zNmzejZcuWastqMCxatAhBQUF47LHH1JbSoBkxYgTeeustbNmyBYsWLcJ3332HG2+8EVVVVWpLaxCcOHECZWVlWLhwIUaMGIFvvvkGo0ePxpgxY/Ddd9+pLa/Bsm7dOoSHh2PMmDFqS0GQ2gIIIaS+c+HCBYwdOxZWqxVvvPGG2nIaJIMGDUJBQQH++usvrF69GmPHjkVubi6ioqLUllbvycvLwyuvvIL8/HzodDq15TRoxo8fb/t/jx490LNnT8TExCArKwtDhgxRUVnDoLq6GgBwyy234PHHHwcAXHnllfj++++xcuVKDBw4UE15DZY333wTEyZM0MRzfrxjRhQlOjoawKXbwrU5fvy47T1CGhI1g7Lff/8dmzdv5t0ylQgNDUVsbCyuvfZarFmzBkFBQVizZo3ashoE27Ztw4kTJ9C2bVsEBQUhKCgIv//+O5544gm0b99ebXkNmo4dO6Jly5YoKipSW0qDoGXLlggKCkK3bt3sjnft2pWrMqrEtm3bcODAAdx3331qSwHAgRlRmA4dOiA6OhpbtmyxHTObzcjNzUW/fv1UVEaI76kZlBUWFiIzMxMtWrRQWxL5h+rqapw/f15tGQ2Cu+++Gz///DMKCgpsf23atMFTTz2Fr7/+Wm15DZqjR4+itLQUrVu3VltKg0Cv16Nv3744cOCA3fGDBw+iXbt2Kqlq2KxZswZXXXWVZp455lRGIpqysjK7X9cOHTqEgoICREREoG3btpgxYwbmz5+PuLg4dOjQASkpKWjTpg1uvfVW9UTXMzzVwd9//40jR47Y9syq+RCIjo7mnUsFcVcPrVu3xu233478/Hx8/vnnqKqqsj1nGRERAb1er5bseoe7emjRogWef/55jBo1Cq1bt8Zff/2F1157DX/88QfuuOMOFVXXLzxdkxx/lGjUqBGio6PRuXNnX0ut17irh4iICKSmpuK2225DdHQ0TCYTZs2ahdjYWAwfPlxF1fULT33hqaeewrhx4zBgwAAMGjQIX331FT777DNkZWWpJ7oe4qkegEs3Dt5//30sWbJELZl1UXtZSOJ/bN261Qqgzt+kSZOsVuulJfNTUlKsrVq1sgYHB1uHDBliPXDggLqi6xme6iAtLc3p+3PnzlVVd33DXT3UbFXg7G/r1q1qS69XuKuH8vJy6+jRo61t2rSx6vV6a+vWra2jRo2y7ty5U23Z9QpP1yRHuFy+d3BXDxaLxTps2DBrZGSktVGjRtZ27dpZ77//fmtJSYnasusVQvrCmjVrrLGxsdbGjRtbe/XqZf3kk0/UE1xPEVIPq1atsjZp0sR6+vRp9YQ6oLNarVaFx3qEEEIIIYQQQkTAZ8wIIYQQQgghRGU4MCOEEEIIIYQQleHAjBBCCCGEEEJUhgMzQgghhBBCCFEZDswIIYQQQgghRGU4MCOEEEIIIYQQleHAjBBCCCGEEEJUhgMzQgghhBBCCFEZDswIIYQ0OA4fPgydToeCggKvxNfpdPjkk08k+2dlZUGn00Gn0+HWW29VTJcz2rdvbyvr9OnTXi2LEEKIazgwI4QQ4lMmT57s9cGGJ4xGI44dO4bu3bsD+N9ASGsDkwMHDmDt2rW21+fOncP48ePRunVr3HnnnbBYLACAlStXIjw8HBcvXrTZlpWVoVGjRkhISLCLWZOryWQCAOzatQsffvih13MhhBDiHg7MCCGENDgCAwMRHR2NoKAgtaW4JSoqCs2aNbO9XrZsGcLCwvDNN9+gSZMmWLZsGQBg0KBBKCsrw48//miz3bZtG6Kjo5Gbm4uKigrb8a1bt6Jt27aIiYkBAERGRiIiIsIn+RBCCHENB2aEEEI0xXfffYdrrrkGwcHBaN26NZ5++mm7O0EJCQl47LHHMGvWLERERCA6Ohrz5s2zi7F//35cf/31aNy4Mbp164bMzEy76YW1pzIePnwYgwYNAgA0b94cOp0OkydPBnBpml/N4KeGK6+80q68wsJCDBgwwFbW5s2b6+RUXFyMsWPHolmzZoiIiMAtt9yCw4cPiz43p06dQqdOndCjRw906dLFdoevc+fOaN26NbKysmy2WVlZuOWWW9ChQwf88MMPdsdr8iWEEKIdODAjhBCiGf744w/cdNNN6Nu3L3766Se88cYbWLNmDebPn29nt27dOoSGhiI3NxeLFy/Gv//9b9uAqKqqCrfeeitCQkKQm5uL//znP3jmmWdclmk0Gm1T+Q4cOIBjx47hlVdeEaS3uroaY8aMgV6vR25uLlauXInk5GQ7mwsXLmD48OEIDw/Htm3bkJOTg7CwMIwYMQKVlZViTg+mTZuGVatWoVGjRkhLS8P06dNt7w0aNAhbt261vd66dSsSEhIwcOBA2/Hy8nLk5uZyYEYIIRpE23M4CCGENChef/11GI1GrFixAjqdDl26dMGff/6J5ORkzJkzBwEBl35P7NmzJ+bOnQsAiIuLw4oVK7BlyxYMHToUmzdvhslkQlZWFqKjowEAzz//PIYOHeq0zMDAQNtUPsepg57IzMzE/v378fXXX6NNmzYAgBdeeAE33nijzWbDhg2orq7Gf//7X+h0OgBAWloamjVrhqysLAwbNkxwee3bt0dhYSFOnDiBVq1a2eIBlwZmM2bMwMWLF1FeXo7du3dj4MCBuHDhAlauXAkA2LFjB86fP8+BGSGEaBAOzAghhGiGffv2oV+/fnYDjuuuuw5lZWU4evQo2rZtC+DSwKw2rVu3xokTJwBcuutlNBptgzIAuOaaa7ym12g02gZlANCvXz87m59++glFRUUIDw+3O15RUWFbgEMMAQEBdrnVkJCQgHPnzmHXrl22KY+RkZEYOHAgpkyZgoqKCmRlZaFjx46280gIIUQ7cGBGCCHE72jUqJHda51Oh+rqasXLCQgIgNVqtTt24cIFUTHKyspw1VVX4Z133qnzXmRkpCx9tYmNjcXll1+OrVu34tSpUxg4cCAAoE2bNjAajfj++++xdetWDB48WLEyCSGEKAefMSOEEKIZunbtih07dtgNhnJychAeHo7LL79cUIzOnTujuLgYx48ftx3btWuXWx+9Xg/g0vNptYmMjMSxY8dsr81mMw4dOmSnt7i42M6m9kIbANCnTx8UFhYiKioKsbGxdn9NmzYVlJNQBg0ahKysLGRlZdktkz9gwAB8+eWX2LlzJ6cxEkKIRuHAjBBCiM85c+YMCgoK7P6Ki4vxf//3fyguLsajjz6K/fv349NPP8XcuXMxc+ZM2/Nlnhg6dChiYmIwadIk/Pzzz8jJycGzzz4LAHZTJGvTrl076HQ6fP755zh58iTKysoAAIMHD8bbb7+Nbdu2Yc+ePZg0aRICAwNtfomJiejUqRMmTZqEn376Cdu2bauz0MiECRPQsmVL3HLLLdi2bRsOHTqErKwsPPbYYzh69KiU0+eSQYMGYfv27SgoKLDdMQOAgQMHYtWqVaisrOTAjBBCNAoHZoQQQnxOVlYWevfubfeXmpqKyy67DF988QV27tyJXr164aGHHsLUqVNtAyshBAYG4pNPPkFZWRn69u2L++67zzZYaty4sVOfyy67DKmpqXj66afRqlUrTJs2DQAwe/ZsDBw4EDfffDOSkpJw66232vb/Ai5Ndfz4449RXl6Oa665Bvfddx+ef/55u9ghISHIzs5G27ZtMWbMGHTt2hVTp05FRUUFDAaD2FPnlkGDBqG8vByxsbFo1aqV7fjAgQNx9uxZ27L6hBBCtIfO6jh5nhBCCKln5OTk4Prrr0dRUZHdwEqr1Ow1durUKVGrRPpLeYQQQurCxT8IIYTUOz7++GOEhYUhLi4ORUVFmD59Oq677jq/GJTV5vLLL8fIkSPx3nvvea2MK664Ar/99pvX4hNCCBEGB2aEEELqHWfPnkVycjKOHDmCli1bIjExEUuWLFFblmDi4+NRWFgIAAgLC/NqWV988YVtpUmlp1YSQggRDqcyEkIIIYQQQojKcPEPQgghhBBCCFEZDswIIYQQQgghRGU4MCOEEEIIIYQQleHAjBBCCCGEEEJUhgMzQgghhBBCCFEZDswIIYQQQgghRGU4MCOEEEIIIYQQleHAjBBCCCGEEEJU5v8B+1h5HsY/kx4AAAAASUVORK5CYII=" }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import os\n", "from pygeogrids.grids import CellGrid\n", "from pygeogrids.netcdf import load_grid\n", "import matplotlib.pyplot as plt\n", "from matplotlib.lines import Line2D\n", "import numpy as np\n", "from repurpose.process import rootdir\n", "\n", "source_grid = load_grid(os.path.join(rootdir(), \"docs\", \"examples\",\n", " \"assets\", \"warp_subgrid_AUT.nc\"))\n", "y = np.arange(46.3, 49.2, 0.1)\n", "x = np.arange(9.2, 17.4, 0.1)\n", "z = np.full((y.size-1, x.size-1), np.nan)\n", "\n", "plt.figure(figsize=(10.2,3.5))\n", "plt.pcolormesh(x, y, z, edgecolors='k', linewidth=0.5, alpha=0.2)\n", "plt.scatter(source_grid.activearrlon, source_grid.activearrlat, s=10, c='c')\n", "\n", "plt.xlabel('Longitude [°W]')\n", "plt.ylabel('Latitude [°N]')\n", "\n", "legend = [Line2D([0], [0], color='k', label='Target (image) Grid, Regular 0.1°'),\n", " Line2D([0], [0], marker='o', color='w', markerfacecolor='c',\n", " label='Source (timeseries) Grid, Irregular 12.5 km')]\n", "plt.legend(handles=legend, loc='upper left')" ], "metadata": { "collapsed": false, "pycharm": { "name": "#%%\n" }, "ExecuteTime": { "end_time": "2024-07-10T13:51:47.007781Z", "start_time": "2024-07-10T13:51:46.238197Z" } }, "id": "3483a85a6fa57f94" }, { "cell_type": "markdown", "source": [ "## Input time series\n", "For this example we create a small timeseries reader class. Our time series are stored on the above shown \"source grid\". Our dataset comprises a single csv file with soil moisture data for most of the source locations. Soil moisture values between 1st to 10th of June 2010 are provided in \"docs/examples/assets/SM_AUT.csv\". The reader just finds the closest source point for a passed lon/lat pair and returns the according time series extracted from the csv file." ], "metadata": { "collapsed": false, "pycharm": { "name": "#%% md\n" } }, "id": "d43622be919ca116" }, { "cell_type": "code", "execution_count": 10, "id": "406f83ff-7725-4710-8048-1a2311b23963", "metadata": { "tags": [], "ExecuteTime": { "end_time": "2024-06-07T13:10:41.224165Z", "start_time": "2024-06-07T13:10:41.212797Z" } }, "outputs": [], "source": [ "import pandas as pd\n", "\n", "class Reader:\n", " def __init__(self):\n", " self.df = pd.read_csv(\n", " os.path.join(rootdir(), \"docs\", \"examples\", \"assets\", \"SM_AUT.csv\"),\n", " index_col=[0, 1], parse_dates=True)\n", " self.grid: CellGrid = source_grid\n", "\n", " def read(self, lon, lat):\n", " # The only relevant part is, that the reader has a function that takes a latitude and longitude\n", " # and return a time series for the closest point.\n", " gpi, _ = self.grid.find_nearest_gpi(lon, lat)\n", " if gpi not in self.df.index.get_level_values(0):\n", " return None\n", " else:\n", " return self.df.loc[gpi]" ] }, { "cell_type": "markdown", "source": [ "We can try this and plot of few time of the time series that we find close to some random points in the area. The reader wors as expected." ], "metadata": { "collapsed": false, "pycharm": { "name": "#%% md\n" } }, "id": "56828136580aec12" }, { "cell_type": "code", "execution_count": 11, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/var/folders/9c/7x6wf5fj0fbdvkxpnt4x2y7r0000gn/T/ipykernel_2618/2655621766.py:5: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", " self.df = pd.read_csv(\n" ] }, { "data": { "text/plain": "" }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { "text/plain": "
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" }, "metadata": {}, "output_type": "display_data" } ], "source": [ "source_reader = Reader()\n", "for lon, lat in [[14.5, 46.5], [15, 47], [16, 48.5], [12.5, 47], [15.1, 48.]]:\n", " ts = source_reader.read(lon, lat)\n", " plt.plot(ts, label=f\"Lon: {lon}, Lat: {lat}\", marker='.')\n", "plt.ylabel(\"SM [% sat.]\")\n", "plt.xticks(rotation=45)\n", "plt.legend()\n" ], "metadata": { "collapsed": false, "pycharm": { "name": "#%%\n" }, "ExecuteTime": { "end_time": "2024-06-07T13:10:41.325740Z", "start_time": "2024-06-07T13:10:41.216736Z" } }, "id": "8b6e347eaa724b89" }, { "cell_type": "markdown", "id": "0906b96b-c04c-44d2-a06b-4074c8b396f3", "metadata": { "pycharm": { "name": "#%% md\n" } }, "source": [ "## Output image stack\n", "\n", "To create the image stack we need to decide:\n", "1) The **region** of interest, i.e. the bounding box for which we create images and extract time series data for respectively. In our case we use the bounding box from the first Figure.\n", "2) The pixel size we want to store the data on. Should be chosen according to the resolution of the time series grid and the area of interest (in the case of ASCAT it does not make much sense to transfer the global data to a regular grid, but for a regional subset it's fine). In our case we use a target grid of 0.1° as visualised in the first Figure.\n", "3) The temporal sampling of our image stack. Should also be chosen according to the temporal sampling of the time series data. This is a bit tricky because, as you can see when looking at the data in \"assets/SM_AUT.csv\" we have varying time stamps for different locations. But overall we expect that we don't have more than 2 observations for each day (before and after 12 PM) and each point. So let's start with a 12-hourly image stack.\n", "\n", "## Converter\n", "\n", "The class to convert a time series data set into images is called `Ts2Img` and imported from `repurpose.ts2img`. We pass the above defined time series reader and create a regular target image grid object from the above defined dimensions. We allow up to 10 km for the nearest neighbour lookup between the target and source grid (remember that the source data is sampled at 12.5 km). We also pass the 12-hourly time stamps for which we create our images.\n", "Important: As we expect that there is a difference in the time stamps we use in the image stack and the time stamps we get from the time series, we have to perform temporal collocation to match them. If we set `time_collocation=False`, it would be required that the same time stamps that we use in the image stack are also available in the time series data." ] }, { "cell_type": "code", "execution_count": 12, "outputs": [], "source": [ "from repurpose.ts2img import Ts2Img\n", "from pygeogrids.grids import gridfromdims\n", "\n", "target_grid = gridfromdims(x, y)\n", "timestamps = pd.date_range('2010-06-01T00:00:00',\n", " '2010-06-10T12:00:00', freq='12h')\n", "\n", "converter = Ts2Img(ts_reader=source_reader,\n", " img_grid=target_grid,\n", " timestamps=timestamps,\n", " variables=['sm'],\n", " max_dist=10000,\n", " time_collocation=True)\n" ], "metadata": { "collapsed": false, "pycharm": { "name": "#%%\n" }, "ExecuteTime": { "end_time": "2024-06-07T13:10:41.330658Z", "start_time": "2024-06-07T13:10:41.323924Z" } }, "id": "876105e3d68047e4" }, { "cell_type": "markdown", "source": [ "The .calc function will then start the conversion. First we split the passed time stamps into chunks of the selected size. This is relevant for large datasets that don't fit into memory. In our small example case a single chunk is fine. Then we loop over all points in the image stack and look for the according time series (nearest neighbour with max distance). If a time series is found for a point, observations are written into the image stack, otherwise the fill value is kept. As this can be quite time-consuming for large data sets, there is a keyword to activate parallel processing (when `n_proc` is chosen greater than 1).\n", "\n", "Other arguments:\n", "\n", "* `format_out` to define whether you want to store one time stamp / single image in each netcdf file (`slice`) or the whole chunk (`stack`).\n", "* `fn_template` to set the file name of the output files (make sure that the {datetime} placeholder is included.\n", "* `drop_empty` to drop any empty images after conversion. This can be useful if you expect that there are many time stamps without data, and you want to save storage space (otherwise these files would contain only fill values).\n", "* `encoding` to efficiently store data without wasting too much space, you can convert variable to a certain data type (e.g integers) and provide scale factors (precision when converting floats as integers for efficient storage). Common encoding keywords are `scale_factor`, `add_offset`, `_FillValue`, `dtype` (see also https://docs.xarray.dev/en/stable/user-guide/io.html#scaling-and-type-conversions)\n", "* `glob_attrs` and `var_attrs` netcdf metadata included in each file and for certain variables.\n", "* `zlib` to activate zlib compression\n", "* `var_fillvalues` and `var_dtypes` can be used to force a certain value to use instead of NaN and convert to a different data type than the default float32. Note, it's better to use the encoding keyword!\n", "\n" ], "metadata": { "collapsed": false, "pycharm": { "name": "#%% md\n" } }, "id": "1e75a51aa84eb72a" }, { "cell_type": "code", "execution_count": 13, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Images are stored in /var/folders/9c/7x6wf5fj0fbdvkxpnt4x2y7r0000gn/T/tmps6mtkrgj\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Processed: 100%|██████████| 3/3 [00:01<00:00, 1.70it/s]\n", "Processed: 100%|██████████| 14/14 [00:00<00:00, 236.58it/s]\n" ] } ], "source": [ "from tempfile import mkdtemp\n", "path_out = mkdtemp()\n", "print(f\"Images are stored in {path_out}\")\n", "\n", "glob_attrs = {'Description': 'ASCAT SSM resampled to regular 0.1 deg. grid'}\n", "var_attrs = {'sm': {'unit': 'percent saturation', 'long_name': 'soil moisture'}}\n", "encoding = {'sm': {'scale_factor': 0.01, 'dtype': 'int32', '_FillValue': -9999}}\n", "\n", "converter.calc(path_out=path_out, format_out='slice',\n", " fn_template='ascat_0.1deg_{datetime}.nc',\n", " glob_attrs=glob_attrs, var_attrs=var_attrs,\n", " encoding=encoding, img_buffer=100, n_proc=2,\n", " drop_empty=True)" ], "metadata": { "collapsed": false, "pycharm": { "name": "#%%\n" }, "ExecuteTime": { "end_time": "2024-06-07T13:10:43.276029Z", "start_time": "2024-06-07T13:10:41.329735Z" } }, "id": "cab97f316853fda" }, { "cell_type": "markdown", "source": [ "## Checking image\n", "Looking at the so created images, we see that there is the expected variable `sm` in the files, but also a variable `timedelta_seconds` that contains the difference between the original time stamps and the time stamps assigned to the whole image. This way we can handle the slightly varying time stamps between location. Adding the offset to the image time stamp should therefore result in the same time that was originally in the time series." ], "metadata": { "collapsed": false, "pycharm": { "name": "#%% md\n" } }, "id": "27920b50b27f1ee4" }, { "cell_type": "code", "execution_count": 14, "outputs": [ { "data": { "text/plain": "" }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" }, { "data": { "text/plain": "
", "image/png": 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" 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" }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import xarray as xr\n", "\n", "ds = xr.open_dataset(os.path.join(\n", " path_out, \"2010\", \"ascat_0.1deg_20100601120000.nc\"))\n", "\n", "ds['sm'].plot(figsize=(10,5), cmap='RdBu')\n", "\n", "plt.figure()\n", "ds['timedelta_seconds'].plot(figsize=(10, 5), cmap='rainbow')" ], "metadata": { "collapsed": false, "pycharm": { "name": "#%%\n" }, "ExecuteTime": { "end_time": "2024-06-07T13:10:43.637243Z", "start_time": "2024-06-07T13:10:43.276393Z" } }, "id": "fbd1848350c9af20" }, { "cell_type": "markdown", "source": [ "Let's verify that we have the same values as in the time series. First we read a time series for a certain day and location. We find the same soil moisture and time stamp value in both data sets." ], "metadata": { "collapsed": false, "pycharm": { "name": "#%% md\n" } }, "id": "4c67b28a54476f4a" }, { "cell_type": "code", "execution_count": 15, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Soil Moisture and time stamp in time series\n", "\n", "sm 5.64\n", "Name: 2010-06-01 19:23:48.749991, dtype: float64\n" ] } ], "source": [ "ts = source_reader.read(14.5, 46.5).iloc[1]\n", "print(\"Soil Moisture and time stamp in time series\\n\")\n", "print(ts)" ], "metadata": { "collapsed": false, "pycharm": { "name": "#%%\n" }, "ExecuteTime": { "end_time": "2024-06-07T13:10:43.642265Z", "start_time": "2024-06-07T13:10:43.636957Z" } }, "id": "8d8ba8ed1839a479" }, { "cell_type": "code", "execution_count": 16, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Value and time stamp in image (after adding `timedelta_seconds` to the image wide time stamp\n", "\n", "sm: 5.64\n", "timestamp+offset: 2010-06-01 19:23:48.750000\n" ] } ], "source": [ "from datetime import timedelta\n", "img = ds.sel(lon=14.5, lat=46.5, method='nearest')\n", "\n", "sm = img['sm'].values[0]\n", "img_timestamp = pd.to_datetime(img['time'].values[0]).to_pydatetime()\n", "timedelta = timedelta(seconds=float(img['timedelta_seconds'].values[0]))\n", "\n", "print(\"Value and time stamp in image (after adding `timedelta_seconds` to the image wide time stamp\\n\")\n", "print(\"sm:\", sm)\n", "print(\"timestamp+offset:\", img_timestamp + timedelta)\n" ], "metadata": { "collapsed": false, "pycharm": { "name": "#%%\n" }, "ExecuteTime": { "end_time": "2024-06-07T13:10:43.646094Z", "start_time": "2024-06-07T13:10:43.641860Z" } }, "id": "cffb07b260c25ebe" } ], "metadata": { "kernelspec": { "name": "python3", "language": "python", "display_name": "Python 3 (ipykernel)" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.12" } }, "nbformat": 4, "nbformat_minor": 5 }