PySpark_INIT_JAN19.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import findspark\n",
    "findspark.init()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pyspark\n",
    "import random"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.14130496\n"
     ]
    }
   ],
   "source": [
    "sc = pyspark.SparkContext(appName=\"Pi\")\n",
    "num_samples = 100000000\n",
    "\n",
    "def inside(p):\n",
    "    #\n",
    "    x, y = random.random(), random.random()\n",
    "    return x*x + y*y < 1\n",
    "\n",
    "count = sc.parallelize(range(0, num_samples)).filter(inside).count()\n",
    "\n",
    "pi = 4 * count / num_samples\n",
    "print(pi)\n",
    "\n",
    "sc.stop()"
   ]
  },
  {
   "attachments": {
    "Screenshot%20from%202019-01-04%2018-13-57.png": {
     "image/png": 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dOnIyzmq2xTViH0FpueOh++/LbNMKACgKYUx69+qddzrf6SifN/+jF55/9rprr/lowcd79uwRxVC3rl327dvTqAkdQpDDI1u6j51+W/P8dWuWzVt2ptwJRt6DdfbiAsRzyXGGIOY8opA7dNTN13ZKoiC8k4FgrMiEMaCTqxYszfdzKV1uGDNqElv0+Lv7DFajHF7VU4jWooeyNW+8v9WBeGN8y+7Drxn3cvanE19Z6/HrbBYO2A63jLSM/0zWSAHEKESQvPTIsT0MALo4XVCxCzEXj9frfe6FGe/PeZthmJLS0upwhJCS0tLEhARZlp97YYbBoG3oIEDdsZ9ENG4n6nnL49f3yYhjsLtCrDMpwXWb+O5XLAWBkt2rv5r/3R7BbC52KWkjH334yvQEHQUgOU/tXv7poi2FPruk73f3+IFZTZPNAgUAvqLtq774eNlBxhy5ZEryHXy3B557vIcevDtnT/ngDzeTdm2d2M74HETX+Zqxgzu3SU/WMwChsm3/fWFuXij9vln39DE5Nn8896dQ5xuu7TU8ngcIVuQdWL85mD2k891TxZcnLHSxkgcZL6mszTsDIFIcAGh42nVozR++Dr10ui790xfNPWLkWNkf7DwwiwWAU7/+XgZMVSm7Vr/44IfHJU2TPvdNfri73nbl8Iwlb+xw+rPve2poCgC4ti1Z9PXmY8U+2tIsIzu+7DShKECRYcXKmOgWCTquqnYVf/Pc418WykiXe/vzzwy2JHbvavyygGBS5lf4dqMnXR3RIwbABDAghy+6U/XIroHkAKj0G8ffdubZhYfK4ex5IhJIGfzSG4OblK6ZNfMrrIXwAL4KWvR4Mq7vbAJQDvyyx0/5ZX2/e+6tLqNg8f61605oO/e6PMPCYu+pLT/N/3gt0UMQ6SrKA+kDb7rtqsvSzTR25/+x8suFPx3WWYx+0NZjM0QM2a65bWhXLmTes+Xd43Lz62oX6x+FbtAYSW2pwCdqe91y76VihPkeV6uzwtM0qmEqEmdu0X3Eg/f3SzN0uPfRK8c9uwaj5IswF9VV6Wx0wPodSv/nnxiTWkP7BANGUcxpp5tLu2lcreS2nvH5/UyDkdSm/nSR1+ezDR6YSQOUrZg2cclhOWHw1Bl3Z6aMGJmx8oOjpjiNUtuW6hRHZK3/4gN68uuPtkXSrnceemufLMQx7e/86v4M8G6Y8ZbcOx4A/Jvfnv7WpnKFs7Ro24QrEIlgsbu5/vdMHJjVJMnEIwCx4vjWVd9/vvKw0WIuilp80RT+/su/1Vdq+QQaHmvVeiNhAiHMKSF++DUtAPyH9suZ2cYrruv4zevbdRyRSWSA6C1GuYcZ8sL5absujNvly7p30tAUALBvXvTxkg3HSgLIkNQyJx0VeEDUm2TRWN0svJ4XDmUeMuODIQDgXjftsc8xOXsUkwBgApHvfEJIsS9l+uLn2oDz56mTF5eIhn4TP745BQq+GDdtDUbhKUOuw30zP7FZBOLL/+Pn+fNXBgVNkIm664RxO3zZD0wekgIAzj8+m//Z+uMOJrH94JsfGpHBZ/7n8av3T/jK3XXqfx/JpIJbXnvovaNBocWUT5/NrvhxwsRlFUQ38s35o+KhcMnUiSuo/nePH1SnkmrMBgmhOm2vapl/i2UunXvUZlWnAFRU4L577unT6/LiouK58xccOnIEYxwMhAChpKQEjmUBwOlyOxyOgChV2NetW78hs03ru+8ae89dt7dqlfH90u8blRYmkNGqVWabysX2jJYtoObWgFoDt1huA2RYLicna+/eAxhADMntcnM4jt+3f39jbhKEnOysp6dMemHmK9OeerK+WYCDBw8/N+PlyRPGt2+XE6Ns1VAMwzBsOHMJtjhEM3l5+TzPMjSDALp17QwAu/bsEfgaLSfLshTDAMB3X376+Rff7Ni5/ZwJnc4vCgSCAHDfPXd079Yl/KNCgBAYNnSQ0aB/atqzXp9vx46dXTp3YllBUaR9+w90aJ8rK5imG3HLgyckKMm9Jo82/jDtqe9OBRHNmPW0Vpvg9Nvue/e53MNzpn2w18saDT3vuruHZ9Wc/5puua8ThAsYm/TU0R+XnKIIzfC+A8d8mV2faZVhUPYhrGBEnzUBf9HRIyeRSXum4PS23c7EOWOHXJG44suS+HgDKA6XofeYvj/932923mhx+iShy41XJfrKQjq9TStLDkKg3r3BtUBUt26XMQxTVFz83PMvaaoORGAC05+bMf3pp5KTki67rMuhw4caKHGK1MFTEej44OT7+mXEMYBD2BgX7X3DIkkC0CS2H/HQ+EE2r8eJiawINhsvup3uAGHNzbuMnnBXqiJJki6rS0YTs0CBFJQAdMmdR44b388iesojpNC0vG7cuB56wCcXvzT3hIwwkCixYSkU1Hcf1LlNsp4BLGPg9MTuYdJvuL2PSTn08f99Jg2fdm//nHjfwT92HgsIcWmZxj0Lnl90ihh7jBlgc3p8l1rWMKoqIBqCiJxZvskFANrOV7akQAkRWZs1uC0FQA7+vI3S0gBn2yO9jtNy4pZ1JxUAoIzxOpA12dd20wJA6bI3Z/+4O6AQgw55S45t3l2IdNE/fMpwtMLU3HtJEKM1W00sAJCKIh8Qr6KVmOyHH+pqwCe/mvt79QYmQohf0dTnFNUgayfn8wMYez9yX3edHFEl6Pj2XZrzwDbr3NlKSEiMNN0QZgnVdNBlOgBpz6r9nIbBEWUUwiAkZQ+5cUSfDAsjEaD0zS+/YeKtLZwOv90ZbH7DpGdv6Z5uBo/TC8Zm3a5/Ytq1TbxOV0w2A6BgpW6xNlUIp4i1pHJjQ6dLyQgVTKdWCy9oajS1eh2bHC8Ub/t61oKTAADN+15uA+VizMXZqlQNEInW4s1f/PDDp7MnzVhVdWSN4HrMKUCjusk1wzIvSA1EUpf60wXAiqDnAQB8ZfYQonH59k1nAEBokWEERGNcS6Q6xVGz1mv9+zecBAC2ddemAHIgkN4tDQD8ezYdd3kCAADatKzWzQwMQ7zlx4+KnFYknBLSZXZumWziEUhBCfi49N43PfHSnTkeh4NELb5oCnf4q6ps7VIDkebq1w0hhNTsoRBCiDeA2ZyrrrAAlP3y0Uc/ngJgcof1tgAdCtRoTKK3GEjPB89P23VlC0qsImRVNqTfv/3eqsNIEGxWvezO3/HHUUng5Hretdjnsjuc5cUuTNfw4fWF8gpKfN7Ij0jH1EHjbRYuhAHpmnUd9fSEK/3OIBtdYA5rs0Z20wBA6bK33l1xCAm8lgns/PLdt7eLAJDUr38a5T64KR8AhJaZVozpJh2aUwDxWRlaSdGk5sQDQPkfO8tlYsqOVkkDbhfUqSyqZf5NlimGoGEhVVT+JTRPbfr7ps1Tn3n+0OGjAFSf3r1nvfTcV4sXvvfO62+9Puut12ctmPfel58vmDzh8Q7tOwQC4sFDh5+aOn3T5q0tm6fGEn9kC0YIaZ6aOnTwwPBfUlJiIBB4e/bsx56cNOaOe158adapvFO1/J+TQ4cOud3u3OwsRFBmZhujwbh3/76gGIxdA+G0srMyn35q4osvvbpv/4G6b4qDBw8/N2PWpCef6NA+J3bZzsZPSHgykwCcKSymELpm+FBbnNXn98uKDADdunbu0K5dUBSrvVVOfhICAJOmPHPtNcNjSev56VN+WvrlT0u/vGbEsFp6/PKrr7VabccO7Wma3r5jF0VRLZunAUBeXh5N03FxtthzRAgjeb2dRl2ZANo+E15fvHjeR6+NG5EV7moiAAKAgJA4HXFvfP++CbO/2lZSeZlN5a4vxWQQZNpSbvdpMnoNy+WLtmz3MCREUI0iAUAI8RyLGAFJAREDI7CgIJ1NA0Vr5y4rbXnt1UmYYhRKCWiG35gd+HXhd3lEb9PJSqzFc/jIycNHTl7evTsAfL74S45nScQuAI5jFi/5CgB6Xn552Ge96iB15gdky2XXdxYAgtveffrV38q57HvmPN3DUKmEMKEtM8e9up+97NFZk7ppUrvnUD+ujbdypxdOvGk+pTUb9YbMsc/e1UWT0a0Js+V4VZAZ4149UBmkea8cauU6UrlqzSb3f/CZrqkUFP/00usbymRGZzTz7Llj2xukOA3HtX60pxHsqxb8zg2dlcWB+5cXn3n/AO701OzJuQBEKvnt5wM335/dNZNeWirbulw6WdNqEPEVOsK/0ixrMSflrVxfPGBEEp87pJ3w5i6XuW+/NhSAuHvZdh+vMUKwugyRN0DYxIShw1vTACA7ij2YSWmZhADAu297cYKBEmkGAdGwAGyNXolpwLRPB1Q9HHrvnpd2EVS5KTPpuhc/v67KCZ/8bO4mXsuW2IO9J96cy4q73p+ztPCqgVXuCmb89kBUp4hq0lByFevnfmq449Febe4aP/zUvOoQSuHqxd/YeqeUb1xdikGnizRgX0Bm2vbrKACIe1fsD7Jaa5VOQltmjHvtaJPbX5s23AauNTMfmpefeuuLM4fF6XM7WcgRj5B729AEgPJl059ZeFjUd7jr7ck9kvsNSvjmwyOWc9oMAECijkQrVvrbItGHI6TaF4C4XpeQEVq0Zq5VhEr1ZghEZJsQCkucLs59YG8xtEgCa0srRcovulykW7UBQpHaU0/EwBPP8XVfHvThxNZnf8WEIFLXnFIspqhFXFjktdcfSTTqS1dhOFPRtn3uwb2MzW99660+pxxgaJIKAMDpWCCYKLUtvEZxRKn1nj0bj0PLdG1Wz1R6f37S5a1YgOCe9XliWdG8nzs9NaRJ8oB7XhkwtvTg5pU//PjrAYfBVH2lZWjLjHGv7SdNBz3+ytg2pl7/6fXd/h2iEmuzTKcPrafU6r5xamun5iPGjOKXe1/TQQDIX7nhdIn006EbH8xsMnRY6tpPTwomUj31WU+LARZeLjsvbRNSe21BlDFlq2pId5Yk6lEQ6IBM6+OSTCyAv9DpDxCoe5bPuXLmxPmnME1TTSwW5KoUuEbrV1/+a/VEK/+Vdrz6+Evb/cbOd78xoYcxfWD/5LUbPAFSZ4u4KCvI1jIJAMC9+4+iBD0tIooFCemEAxtPQ+dWYGjaRAfH9/xRAGlN47Nb6n9AHdvoAACadmmu2Si1TwMA194/SqoqYp1KSlauZzB2qJb5j1gmIXBOOVVU/g1MmfYszdAURffqdfntt47WarXBoLhr166CwiKv18cyjNFoTEtr1qljh8u6dHI6nfM+XrR37973P/hQkZW4uOjrXvVBMEEIebweAEAI9DqDLMsnT+a1Sm+VPmjAqtW/LFr0+bSpk6urfCyVlKGZAwcOZaSnx8XFaQTNrl27ZUWmKOo8Knh2dub0aZPemf3+A/ffk5uTXf37gYOH3np7zpOPP9KxQ25kXmKPmZCzu9R4nj9+4mRxcelNN4yy2+2bt1au7Xfr2pkA2b1nL89xNQICBINBvV4XS4rVOyxqpI4JweRU3mkASElJ2blzZ0WFHQDMZjPBxOXyAADP8bHnSAZaIUndWjH+Y9u+W7a7wMs273frfeMmss9O+7nsxPsP3U2xbLxFL2FiFDDRJLicVQUaFgbAExLkZqMWvduBB5COfD3tyzyLSfCS6qF72DuFiFJUETSnZAy7fXQO5fllc6FC0XqLBvzlh5d/tW3wAzf3+u6FtS6+080DLcc++WZ/6ViZNZlYAISjL5HWIvz9vzB5p08jAILJjTffDgBJifEIUN6p0wCQk9M27HPc409GjSfKsRCU2DoJAPDxNTscVkuyTwpF2ZZAkIEnJ/aWQLfmoLfqKFLgIjn/efKBEW0ijjbzOi7yrRkZJE6HoGraG6V2zQCA/CWzlxwOWKwmhdBOF84+V2zNrbwDWUV9mxY8BLbvPMOmtbYAiEc3Hhe5iJ4QESuKvJCti9Mi2ZlwqWRNU+JlWz365rTOVbvcj8+//7lN4Nrww/Hhd6ez7Qa353cc7zUoDQBcG346JimClq2OwTRgamTPsmjF0sMKXbMDEzldFX6o3kEgBYOV67g+d4hGERryFp0oDVG8MbmJhada3DL5ltNTFro63jk2h1UOLvjv+nIlozpG2eFKs3mjAAAgAElEQVRThI6jozpRcogAd+7kFMfWeW9+3fyZUU1HjL/xZNU2I2SVjn37wR6WArNeL0NkF5lRAmKnQTk8gH/7rydkwlNspFZZpWR3vjzcxggGjmHk/L2FyrA4WmPSAKaSs9MQANhGPDdnRHUIXWKCAMdisRmAYq+m3X8eqVusmKBIqY5IQF0yRsgHWb3LKUeqVEOY2nPjhBBMSOVhI0JIxPb3iyUXgr/es3lEz4OXskZu+a5qyGuak0QCLipqcpgoeh7XE0l9RE9XxwacJ5Y+Oycw9toeOcmprWyhQNg4Aq4gBgbXtvDI4qhb648TxLj2rDxCHmht6NQzWbu+S64eILB3zTExxcgf/Pzl+za2GziwzxU92iS07X1r2979fpr14jcnCFT3jVBTM1e6/sedo9t05RPbN2WX7mDbx6BwH2txV+75qV1qMb3dIk0IiFdi5fjLhmcggJMrNpdJEmxfeVDOzDb3HJi25EMHFglUXeoevcUAwNELqGFtsxiiTeIQApW7P8OLI4TQohv6TJp8W1Pw/Dpz/MJTAIlnfZ8NSKWZaZHVBgl9LhXE0gEgUgg3tejLDmzYG+jRUxPXOpn91SGSKN8IJJG7w86a5dlEEAUUsu/6vfj6G5KadG6Zou9gBZAA2IyOqc1D6QKAZ+fmkhqlUruSKphSLfOfsUyE/vorUVVULkWsVjMAdO7U6fYxt1TY7R8tWLRl6za/3y/JCsYYgFAUxdB0XJylZ8+e140cPv6xh+d9tGD37j0Q21n9SAghP/60fPEXXwOATqed98Gc8I85uW379OrFc/z3S5c67A6L1VrtP5ZoFRnTNAWI0DRNEFIU3Nh7CiOiUgJBaebLrz8zZWLbrDYAsHfv/hmzXuM4rtZHEBqV91p+9TpdIBCY8/6HY8fcMuras53l7l27UAh27t7Dc3xkQEVRGptiLVEJIcFAgBBiNhkJIZIUAgCW4wghQVEEAI0m9uPzICsIeItNgJKt63YfdTGC+beFH2V0mdp7QLNv5h+3xVswgESgah9Dnd4ugMCEAmd+eGrqzwlpuYNvGPXS02jSi8tZIxUC+uy7Ne3m2Z/cXBnMdWzV+wu+OyVRyGzSUorbK3oOL1lR8erIoU03rM69Pkdc/8oGO27mESHZwhNAWCHRLgNugFBIYhkaABITbNVih+RQpJ/6VBRtCqCy7BiWRoBrvJtqeEOULCoAAIgiBDPZNz02oo0AJeuXLN/tNPcdM7JdnQ3OEUFohM7aluiWeSPT7D93Ddvz6pYKr4PE0Vn/OWdsQLACBGkMGgBfhY9UVR0MJFJSAqyGBfD5Q0BdQlmLuoTIaqiN3+++9YkOQuaAKzqnDUoBgOLly/PMOtZXp+OIg84zJw5t/WX5z9uKGF08dhRUAJhAn90hYeE3RSajpFBMSAFFCuoFBqq+Y+RaPevBD4+HEACAwNMWU7zfVRlh8cp3p31djAGjxCGzXr8h1drzmqwVqwZ1EgCg7e3vfXZ7pT+m3dSPnp37yOu+ofU4PfzCaaI7Z3IAwOPCb99Ykvvqja0zW0Qop7KC1rrOWcQc1mYMzmYAfH+sOW7QUIE69+3LkgLAUDRCGEAOyQA0ohAQoMIXKXh2rtqYX3UzAUhlJYSO0Wa4nJujFmsIs1ibWS0VzWovISMM1VFpsM4apYTpoNeR0KdjAgBA2dFyOfINdjHkAp1z1rv2QishhNQyJ8xo6cx6hY+cKY+MpMFUo6QLgE06UrH7p5d+XyzJGOlyHnpj/BVG8Bw96kcKhQWsTW2wOGrUeoNR5xWZHSsOyq2zLF2v6AlZFgD/zvV5EhEIzfEYyvYtm7/96w9NXe+YPP5KS8rQazO/f+13JVJAQogcwgCAKAoJubfEpvCz1Co1ha/3K8EiZpHk1vA8xhTN0OHkEYDb52t+9RXJAAAt7n5n3t3VATQdh7fTfrjHe3agVU+LUVkWjdS2BlDdEmQoJNrzygCMoM/pkLDw20KzSSFQ7wsbVe4dR4gCgjGu3FNZScRNKGz62FdmDTFXqTAciuFYBJGNWORULQAhoCCapcIhopscQ4FYfrIM+prAmNsx8dPviky0ImIO+wPZ3ZsBAPgKz/gJTfm3bi6/YaStbb8rEpqC5/evt2be1L9j3wGSBcC3c0O+TtD4z+4yq11JgwqHtc1Vy6zk77RMDauoUwAqKtUcPnLkm2+X/vDTckVRxGCoW9euuTlZ1jgLEKiocOzZt++PbdtXr/7lt982jLhq2KmTeedXfQghnTp36npZZwBgqz4CVx2VxWwkhHh9/kZNAQTFUHZWptlsxrLi9frat8vdu29/MOBv1Mn2MAcPHn7x5demTBpP08yzM15+esoEmqLDv7As+/yMl6dMHN+u3dmDAI2ImhBSszEXNAJN03PnL7jp+uuat0glhMx5b+5lXTp36tSepukdu/YwVY0kABCgXG73n5wCoBkWIeRyuwghHMcDQCAQIISEb3wIBsXY40cIE0VWAAxGjqMwzVI08Zxxgdaiw3Lt6dXIprl6jZ8GWUAur1MqKz6zv9Aw+9khI9JWLy0JEFYXbs0BAZSseOXdLRWi6HPZy9yyRU+xWiu4GKMGxKIQxypnfv5u79Cxd4xJTEo6/dUrx4HXiJ4gCAYBERlwjYW0erhh9G0AMP3pKdlZbVNTUwvyT0fe+Ycxbt68OQAc2H/w2RdnAkBiQnzUeKLcBaAUHTwDAFSra/o383hKa1yJFHVPIgAAGFISBQAo2vTtsvXrN+44Gnm2sZ4gVYR2z31l0TEMVIsbJ9yaQDDIgVhiq7z0UwqIALyBJ77CAi8A37RtHC0rSrjjhBBQttYtNRA4ecKDqEsna9hsYg+9/dD1N90R/rtx+iaNWS9wJLTnx1+dAJA6+pH+cQDKgR/XlWKJ5iN7f67VL95y0x033DF+0svzVu4p1hp1FC0j975fjxEASBz52P2Ds1hC3D6Z0iXldmolBFy11kDC3ZJAUHG7y2tUCYwVhdbHW7UAAEhW5EBpfklpWfiv1Bn++CRxFxR5FBKsx8kLtec560uOoWXi3PLOwqORfb8KNmPkPQ/eO7ID8nnos2euwR8UDZ37ZVEArm2rjsuI4eu0XfWB5OKDZwAAdEbXru8/X7Jw0ZJF3675dcVvJcgYm81Q9RWrJ4QjpeJ47aVjhCiqSiPT8AZwuY9uM2DstBubAIByaPUWO645HrrguYjhaFXN1KOaUwjo+pKrtMEokZxHuoQALQd8skwZ07qNmfzoFUYAOLP8pzyTjvM2WBx1a30IQMehwO7lm7wA5t53DooDcP++8phBwzmDQnr7tvGcIomiIvsq7AEAACTouOoqgxiWKnB4hcweuRoAqDhSJOljVnhVJLVLTVCkqJoIKmyQSmnXOjng8oSQpVvXBAAAb5kHg0KlDOllBgAIuOwOp93htDtcPgIATLthHZVgjQ+MRGsxwvftNVbbrBJNThaJyLv3530yACRe+8jdV7QMeSoCMq7nWigCUsArAYCxeZr+tFMqKfcLihgpiU5DpSRYBU2N8SdS3KU+ANC3ybKFApEHbyIrBylwiUm9h3XkAaBkb0GIoZioAoN//7IdIgAkXfvoPVdmYDEUIJr21z30aFcBAMrXrS5DhNNoizZtLgUwdOrTHIL712/5dZcH4rr1SQLw7f7luAy0poHWyaNa5j9lmfFatoEWRUXl34bD4Vi67AeNwDdJSX7zjVkTxj86ZPCAzp06dOncceiQAZOefOydN15p1qwJxzLffvd9WXl57DHXqpbJiYmdO3bs3LFju9zaY2mCECEEItbtYok/NzvLbDbv3bMPY3z4yFGPx53dti3HC42VcN/+g8/NePmpiePb5eZkZ2U+M2XShMnTH58w5amJ49u3y8lq2+aZqZNnvvJ/e/bujV226vhJeDxKavyxLBsXZ/n8yy/3HzgEABRD/7J2/cyX/6+iwpGWlhoeBYeDv/XGrG+/XRpLWocOH67baIed0lLTAKDwTBEhJDExAQAqKuyEEIvVDAD+gD/2HCGiIKn4SDkk5KYrIgqFJJmJb2UD+2kHRaGyMqfD6Y4YVkQuJmNCiIxZl8eniH6iKASAEAxAcTScvYcn7DlYdupkvsfrJgybYNMzglYBRCjeLEDIL9FIQYEDS9b60vtk0du++92BFcSG/DLwBh4BitrzqENCvC0h3rZp81YAuO3mm5xur9fnVxRFURSv1+dw+u4aexsAbNy8JeyzvniYKPvfvNs//XXYtCvN6Tc+s+i6YJAWqqeya06QRCxIIOI4fsIDKYbkkS+91iHPzaREm3GoESSyLxMsWPbG/OzX7+5o7vHIXbueeGeHM5bYMKEZCFWcLMXQtk0bm7zyhzUlfa5JvGHaY7Yt9qQMCgBaXX3bE8buyVD2/Y8nTVo64LlksoaJbDRqIw+VioQgEIGWfvju5JCxLRACAM+6r7ZrdBAkQGrufdBpkEVvCK8fSYQAiKxOu/b9xd1mjM7hLd1veaz7LdV+y76e9PRXRZUPNY+nKiUrXhq/qPI7KEnXTZ83SKK0WiE8yHNt+vGgfd/OFx+RZQBAQJiMMXOev8Ik733nmQ+cAl84f+YjoVBdJ4egq/4AQQPJAQAANmtZ+6/zP+k1c2xGOAjdZODoUT3iANKcm3evtAcwowEAAiyIVNcB6QBg37SuBBQeKFz/DEDNjSIU5d722bqhU/qa06+fPO96WcIMS0H+Z5NnrimDYCw2g+szkqCs6xspFS3BpWKEhKqrUhIxq1L7JHPZxrdn/07rjBBRgBc+F5icc4tvrU0ChBCFMLXyjhi+vuRI+OVQJ5LzS9floXo9/vKd7a2VtQwcv78/+9eKENLaGi4OiFLrgYIgVs4s/aW899U2CgDKNq48hd1aCzZdfu9DQ2srLG/rfnf1/BzbeeLsz4ISJ7AAgI+tXH1GcmhiVPhZoWqV2pPv7mSNWhlqzQFSPp/c/KbbHxoc+ekgcnztdg+ihTb9uuoA4MwnU6YvKyEIAcHE3GfS+w+0odL7dbdt/LEiMqq6LUZlWTRK25TWSKIXX4jT6TZ9sOCyGXd1Ndh63/lU7ztr5b/GE1IKNx2Wu+Qwbe5+7ZPRQZY5/vrDbxbiGl+Gw6T2biUKl/y63dunj77JDS8sujqoRLQQVdFz3Z564xNZ0HAAAJ7fv15XLjMGfTSTkzRa7R8ffrjuhYf6xsX1HDux59gIZZ364c1vCjQ6gYAULN6yvnj49UkAoUNrj3ryxN2efr0MAO6t6wqJQiO63tYJiBxiVMu80JapovJvBFGUVqclAC2aN7eYTQs++WzT5q12hx0AbHFxvXp0v+7aa1qkpe10OrU6LQDEdtS6NpiQktKSTZs3hx/j4uKSk5Iio8I1B4yxpOL1+0+cygsGAwoBRFHbd+zu1q1rbk729h07GiXb3n37w6P98GN2dubyZV9Geshq2+bppybtO3CwXW5ujLJVE5IkWVbCHwWMhKOo5KTEH378yelyaTUarUZDCD54+DDD0HqdXpKkkCQBwG23363TabXac3/E5MWXXpFCEgDcduvoa0ZcFf4RE4IJueXmG3w+/45du4Ki2L1r11AodPLUSVlRmqelyrJcWloa++kJBEHCyKuXnxx+2+iHR/gW7w50HnJ7TyFv0eozHj7roTcfzT08Z+r7Oym9TgaEI3cBAEiY9UjmQdd29R/NK/UTTXzrK/9zhcm1YVWejHi21koQAsJQlARIIQQAZAIEOB0HoYCEEOg0fN6Pn3/PtSr+4ZBWx3lFEvKHQGMQEPEBxiSmgwCKgtf/tnHsmFuaNk15ZeYLHy/8dOfuvQDQuVOHe+4cY7PFybL824bfNRqBpuv/KGDd14leSx1YMOPF0v+MHtgx3SoIACFPecGR/U4KoJ5tywhRcGrpzAXU3Vdflp7UvE0SgOwrLTh62FVzQ0Ot6e6I//OBXe99uPedh3J1Xcfc3PbgB0e+PmdsBIBBQQgcXXVAbpsz9MaOv7317euvUmPGDMruN5i4Th047G/VJvPyjhWHfnhj3opiETT6Syhr9bzmiVYQHBu/3Xj9E730AKd//v64hAwaQs69EVmgfB7vzpfHFw66duiVXVo1M7EAILmKju3ffkaprwLRWo6iiOwsduFkEwWsVs8C4KC94OCODd9/vdZFgdFY2T31SpELWQgjyqinAbi6Tgqq7zQsreWo2lolQUbQrZy7tP+sa5oBAMhlu7efGjSoSen2beUYmMprMIOYwXEdBjYHgPLf1hYaBdpfqxMK0EC7F6/F++e/+PyZUTcN6tTaxrMUBB2n84M0BWCIzWbIiW+iF6utc02pJL2WuySMMKiwOK5THZUqGNHOYoeUbKl8J8i+krxjezavXbpqH6Ol/VTNr2pd6FzUX5Ui/NRZhgsqdcyJEd15UYUPn3GonUjtKeTY0gVCAEuK3iJQkqck//DurauWrzvhElmtIVBXpBhqPQFZ0OjPrFh2aPgdmRScXL7WQ0uYyAwu2LD52OU5zZP0DAAo3pJD235ZsvhXWWtEVavOYrmD2CwAvvytP384bw2t40l0DZxD4ZGldtPqg9+c8hGuxqI3IZhieenEHzsLurdraqABJOfJLT9++emqsiCYOg1uLwDAqXVby1GyVRsCFMJ6365f9ylt2tFNB/aOX/4trpl8rRaDkMriaIS2G+gk8cirhI69+eSMviOvGtStbQsrDwCA/WX5x//Y56JZBqRqv8gqBLbMebfZAzcPyY0XdEKw2MdrKRAjoou2fd+kZ44u+L+5+JZRPTOsgkCB5C0rOr6rkDAEgffgjpOpbZskmQQNB5Lj1LY13y/6YS+n04oEou6gYSkfJxe8P3H67quvHtYjOyNeAFA8RUe3rVvxzc/7WB0bABqBiBm8dtXp629LlQ5sOCGBfGrjDl+vvrqKtStP6QXGW1t9NR6iNRSqZf7Tlqmi8m/m981bVqxeo9Nqg8GQ1xtuLOwrVq355vtlBr2+7rfrG0Xe6cK804U/Ll8dfux3Zd+7xt6ad7pQkmQAUBQl73RhjRWLGOrpiRMnaZqiKIoQIoWkFi2aazXC0aNHY5/jkxWFoenRN15/Tp/Z2ZnZ2ZnhILHHX1FRnpCQ8NvGLVHfLGF27z1Qd4IAALVvl1VeXmazWSE2bZhNlSueX3/zndls6tu7F1T1o35esaqg4EwwGLRYrNnZmRt/3yxJkqKQ3JzsQ4cboS4AACAGAZevefdFbvQdVz084wYULNr1xcsLNjgQzVV9EQAq31Y1RxAEE0QYrSm1+zVDR5kYANFxfPeyVz/70UGjADCVTXlViPClLWdnEAgiwBkEkPwhhIChAlzo1Bcf77AJdIjhANEhXwgorYFD5VghVEwnQfR63dTJExiGkRWlSZPkqU/VuPBPVhSGYV587um3Zs/x+/31RYIGD7oiipKA8fpFWQwomAAAoiiWQTY9H0AGb0WJBKipEQVZnSfEi55yRDMpJk5EnCcgy0GfUnn4ERiKTjRQftpaXxB/jdj0nhAT8tgJoGQjJbGGWGIDgICiw6bLnn/5uhbkzMrZcxZuLhQJEAIURYVPVFIUZdUhxGnJpZa1+pCJxucolQhQNJ1s1ojVd5AC73XaRQXrBKTT6aPeWhfCrBjwyiGpMvs0xdEoTseKlD4ctpZ/LY90eovL4w6F5GqbQRQlcGDScDJV45YRn6QX3UUY0alW3g90A07VokZLLs7ttIsK1gug1VUuHAUVbcBZogCVambLsEHylGOKSjHxQRQWALn8TNJVE9+4PhFKlj4xaZmi5UVEAYAC2gitGt3uQEgSeQ6ZDXqXpBXdJQTo1DjeDzQmtE+UlIBfxgQAKIoyaQgj6EmsNmOsW6wMq4sfPqWuVJeCEVIlkimqSgmwbo8nPF8bDktTtJYHvcBLiK6j8wtflRTQeJ0VdbrOxCgAo6n8CKVf1gVdxRjoVAvjp/h6zImOmpxIV86C1YyEa3y64TsyWbfLFZIViqJ4DhkFRqG5Biy8gVqPCeX3BYOiZGg/5vWn+lqCu14bN6cQ0X6aFRVODLjlkFS5AImQhqPMGi5IG72++Mc/GN+VC22Z8dhrewMEEMchm54PIaY+DdRtu2rawNlSSzTwdr9UVycGDQRBrwR9koIBgKJogwCCRqMA63Z7QpJM03SiWROqautCWBdwFEsAJi2wGpunoRaD8dN81AKqX9twzrKTCRfw+2RJVJRKDTI0ZdJiitPLNe1fUni/zylLMgGgKDrFxAaqGtuIIqNcPlkK+hBFp5gFEVEycAGvTxKDlQfaKKTlQK/TSiB4vS5FlsPpIorSC6ATNCLSxSRwSAyXHUXTOg70mso6G86CK0BJfifHUhaDNoS0XnupRKhmJjrACA3Ua54zxF81SbXMf8YyVVRUGmbE8GHDhgwGgB9++vnHn5afdzzvvv3meYd96NHHYvfcoX37wuLili3Sjp84WVxUHPtdAAP69xt59XCGYc7tFQAAZFn+9vsf1vzyS4z+U5s1u//eu63Wxn09IYy9wv7eB/PyC/LPI2wwGHzisXEsw7w1+10ACAQCNE1zHDd54hNNmzabOu1Zh9PRqVOn+++588OPFm7btq2x8ROgPUFJ9vswAZqmrToErCZENH5nGc0gs+HsdjBMeK+rgmNBq9NjAJkIfo9TliVMABASGMqiZyXq7AwIIbTH41EwSTBrpZp7ymTQ+SqK9RpgtIa6kxYukZO8zoj2/9ywLPvgfffqdJoXZr7SpVPH3r16ZmVlAsCBA4d+27Bx246dT0+Z6PMF5vz3A0mS6osEDRrQN8b0LlaQW2T1rQc8+djQNgJg+8md+/OKXQHM6m2J+qKvP1hbLInMuXehqFy6YBB8Ad0Nrz47Mh4KlkyZsbyQaKLUMVWq2LmkhY9EIRpvKOHBGXfn1L4rXT7z4+tzfikivL5Wvv6SvJ9Hug1wHiIRwnj8qPMTMx5vy9I8A4CPfzrt1ZWFEO31EyG21hdMqBpojfvsZCjIauv33jj+Wp38fVwqclZzAQVWLVNFReWiQq/XP3D/PQST9+d+6PVEv3AoFubMfuu8wz748LjYPXfu3JnlmNOn8k7nn6m8Sy82fD6/PxCI7cYrAABAoNVodLpYW85QSPJ4vbjOWl0sUDRl0Os5ru4GgXNDCHG5PUCI2WyK/P3qEVedPl2wbfsOjMkb//cyRaMnJ0w9308oXPIQQkQxxLAMhZAohkRRXPL5QgC4cfQYnud5nsOEyJLM81wDByWiHAS41CAGLuQ7svLZhzd17tfvym5Zrbtf0ZkFIJK3PM/OUTFdza1yKRNQaKpJz97xAJC/ZlO5wHK+i6DEL06pYuSSFj4STCgALi7ZbK3jJBtYrJC6177/JXk/j3Qb4DxEIoAIpbNxCsVrQHbsW77g3Z+LaZ1OajBgHaH+ysbzr9XJ38elImc1F1Bg1TJVVFQuKpxO51NTpyMAg0F/Hrfr/yU0qsEgWC44XZx3Op9hGjci02o1sRyzP2/ZWJaxWszn9vdXpFULk9FQN/inny1hGFoQhDvvuM1sNr3z7n8JwVD7Apd/ERzHEgIIIUHgq4+6mKqOVCAC4SmYBkoB9e/X+x8QVEVFRUVFRUVFRUVF5SJn1sznzebz2QPvcNgnT50eu39RDNE0Fft+fpWpkyfk5RfMm7+A59XjUWcpL7cDQPj+hRhB/a7s9bfJo6KioqKioqKioqKicsmQk5N1+603N3YWwOGwL1z02b79B/8mqVQAwOl00TRtMOgvtCCXPOjKK3peaBlUVFRUVFRUVFRUVFRUVFT+dv4H7gJQUVFRUVFRUVFRUVFRUVE5N4zzj9ILLYOKioqKioqKioqKioqKisrfxaT+8ek27lh5iLrQkqioqKioqKioqKioqKioqPyNpNs4AMiwceoUgIqKioqKioqKioqKiorKvwJ1CkBFRUVFRUWlkVB696gb80Y2wRdakH8dCPN9HZa+0v/aF7EpRfuf0oRrxcbl639VGyoqKip/J3/XFADV7ObPfUd3Vv1t/qK3rqYHultx6syKqN90VJ1UJ9VJdVKdVKcL63Qxw2Y+/H3EG3bd3Ms0/7wQiA+1SvPHXWq6u7QQJCE3wAo1f6QUvqdH30r5Xxv0Isy0CvJxpN58/au0cf4gOeeqo6+Ny+tlUa/7VlFRqQ8m4v8IN+1c8OCV0up5LX+x/0WNadHmLzaXy8S7tUj6ayJUUVFRUVH526GaemwPOejVKcVrmLM9aUoRBtotVwZYASmndM7FFl8xOrdTQ8lED8UQ1z2iOw6gnEn6kGFlIClSwUTF8JJgLgHAzn0rFnybzFLarEH9OsQ0/FfajT48tlntXx1bW760VpBjUsiFB2nRteOomQPRnlfkm36G8PaDtvcy395U2+eumfLo1ZBZv9P5jo1QHNN2iqbNYFrDgFIs580L7vhUDoUlEejmT2raj2J0GggdkQ6+7D/we61PLiHTbbrBUxnGL/3S21fsiyG5Zi7bXZJ7piAFL+gIFyHztZo+Mzn9Hv+3N4UC+NxOmm587gN8aleKQ8S3Rzo8K3B4x5/9ANXFoA06RzPiK1579gd85AbPtj0X1VgbYatNoniSIJzbr4qKyr+VyikAYkhx9e9d2idNBuD/wugdm+Y+PGlHDO85FRUVFRWViwFkEHUDXKa+QRqg5uQ1YXqXxw+VxJ/jnIVYM8wR9xBRXooL+ht2aoB6Q7WQHEl0ysu0Z5roaM4knMKusTJazptKAABAKV4758G1AHTKA236dciMJVP0kZ/SX+MI0FK3kfk9XMnvrtaEAEl+TjkfFf3TIBbaD6CeuIfqaq7t5DmF121HLAAAUDrUPRMAoNgNpEGn84OhWs3Wd+gI4FDKC5All2k5VceXe9Yvx4RCKc/re1yNQMGefGRozbafr4fhnv3HzobWDtMOmMow9Ud/MYJA057LekLTpmudUXf9TiiJ6zFPk8gAccwlsR0AACAASURBVOKAQOnac50+pkKDvSeK/iGp/z6QDrEA4FJK9hMCADJ2ui6q8T8AYG7D4owTBqqoXN0ZoaKiUh/hlxETvHJoaYviuI9+8t88LHSBRVJRUVFRUblQELaf3dSS88yP42+pqDFgYyVDP5HsSChfIWACwSLCT3WacszBrXRDTg1QfygDxgGWFhEbgKCBSH1DDppp8gv1J7r0QRdfCAAU5ZIAB9miMkGMyLM1t+CB/p44DgCo8lOWH1ck7HZVJqZJsV83oLx9kswAKCJ7YkuzuZvrbBygpA7DTo5JF778pNkmOzpnKMrguu22M1mBuP9+lnhChHNi7UUvnIA4AFzn/GLBSnzfSgAAQNBlHNM9EzwblBnbzuF0XiAr06IjgF9aN8R3xgWmB41XPUrFXU7Ry7GSyOZejSAob7nKe7wQ2SYaBt1BZ97JHJ4ihzNNt+J7v8ryAQKa2AqRD8Y9W6rTAACYp+SHZz6k5cnFK9jwiBNllaf8H6ZowEVa95dW94kqvRiCxmEebWuRtWBEAWDaPy+5fP95nvpEVrb7Qm1yNM034ESKQ1snUYlnxOO7CDEwXZfrM2xMixx0oij20TKhO9qTbg+Evkgq/50hf5M2GmuHAJSBYgD83/nXvqQ0YvbMkFYxtIu7VYpo0WAKAHuMH33cdH8AmMSSp253HVyU8VUhBUASup+Y3JP74J1mh0JA6T0jh5fmJokmDoDQRUfjvllhOx4AgIacLB1PPD0wGBZ15+LWn5w+WzINhAIAxuQeMrC0R8uQAKAEucLTlsU/xBVdKhuEVFRUGk24eyNrls1rTQD4tMA5/KuoqKioqPwPg0JLk88QAD5oq+ViFAUTCu1kmcHFib1p+xumQAXo20poK00acGogqXpCwVbaRVFWJWSFgAVYTikdAab/Y7m/7zwd8hWaf/zB6vRRjNHXd2DpmKvZGZ9a7RiA818zqji7JP6zJXq7RHQm0ehha18ASIc6D827uaXw7WdNN4dPEZ4rFGvxttEDq/e01CeciOH6N/sW/OYXqOgXon2UnpEV3Q+dRE0cAaCQ1+aQMhyrU2MgQRIIAGjp5A5U0QZizEQA4NyKFQAmgzUDKJtEz3WGG27CW58Iue8QjB0YLSu7JQA90362Jk6Wt09Q2szm9bEkFvp/9u47Pqoq7x/455x77/TJzGTSGx1CaLHRlKqCgg1d+/Kou/K4lse2P9d9tum6a1l3XXVX0RVU7IiigihiQVAURCkC0ktCepmW6TP33vP7IwkESCYJ5QHl+37lj2S+c8793kvInXPuKUb/P3ODvX3ZV6uhWRkhDwMggm3mpDRa/IvMqtDMk33OGd7kXzKiEQBgzqh9VFT70uXZquhxMKuuVxz+qk/Cq254Il5fk6i0mKc+KHcxBCD4QSzY8j4wBkCEvN04rHy6N/vaaPKd7MaVssAxuxrd/T0EDPmMASxDzh0J/w9aKNi183H08Y7sJa1YmrfNK8WFsJh4RWc9DswY718Uj6zOf6tMUlzBc8+uvxHGvy6wh0WqUGBz4SN7ddnp++Vl/m5UaA797OeVwxOORe/nVEZFbmn1xX0iDu7+8Y/aIIR0pPWv9ok2jokQQgg5Ljq4ITKrysHjIXC3yqxCkrkaBnfqjAEdh1JMgO6oQgBlintLvPY+TV4nW8cmY8uNzopjc64t4h77eg8AoMbktTYNmhjKUdK9cTCuOYwI11t37DWHBVBtOaggM0YnXFY51WV77eW8tf6WRlSnpeJVWa8ul3vG0r7q2sJDIiJeeFaA4eKO31MyjQ9laFysL6rtRqhbmpJr/5x0P6L0/09a70YhZ7Dwgsg3S3QByG4uAeFdQsrnshumSCImkJbGDBKgssw7LMU9RM3vIrv2GgZ08ViCaQ2K7uQCTGtQkvUHXydRb4lsMOlAPJC03B225Inozn3vkRJrbJGyozEMXAjPC1EPYDr0yqcI7WPifR629nFD+yb2w/dd+6DJdMPEhowL1OirOd41rY38Y3Q1uvt7CGYsZADMU81jpwIQ9bPCK55QY10aDxAzr92YVta9fjzmLbdvLuMos3rTg3cNDuQp9h2JVCE9rtTHIUHu4DjtlhLOAQ3Drcb338j73MsA4c+RL+7TrTwJIT86P7JZaYQQQshxxWNz86o/gNokDnmcmyLUvQo1Zn/RZH8R6sh4xYWSiycr/qWLMjnnGcV0LAbribRenkvO8vXPSpqFFFI1cIvMAEDErO9/br/p7LIHSszrNrm+XufYE2RtmnKi5ILyEs32+uz8tW2eh3ZWCtCUzd9kbz56J8DsbMYUAOKNd0S4y6Hu4sw+iJuB8FfJcG8lC7AOV3LykrvK952bqP9T08InEQ7LBa0vScXGkdM5Nka/W6jrvY8sgfaIgKJBl8wCOLGmfjO7VDLTNuwMJjbHlt0RD3VtUDkb5MkahNhreZ41KSfRdKCbV6O7v4fC+1jwnVnMlCu5JxiG3qRkzbAO/77py0+PdKXDTrFAvQKjampnQEeKUBcrFBk94mhybW86sX6BCCHH0rHaFJAQQgj5KRFhWYcu2wQ0rvo5uC5bofu5EKlCh1Hhvjc4tIYrdNu7PDReOB4xusxq4+nHoqkhpXtnXF7fK+iaN6/3P18vnL+x7UZ/vHpN4V9m9np1jckyoOa2m7ffeFq8bbh6k6NGCl02xVNwwO6AnZQ66lyn8vEWoEwsquxGqJukYtOI6RK2RZf+KvzpOYEl/1T1XGX4XxWLBNWja4CpL5cSIlQjWKZkZkBAJFTmvMxgBzDEfOEm51ULTTYAFmXiGnu/3CNMp5VgANiJ9mnOIpXMtg87gyW+iH40PVZ38Kj0jlVZwzXC9DNPWsFhTdk4xldDREWsTvevT+56PLJqiQBY5jjpcPoqWutjAkLqQrrNf0rabaN3GErZom9bijNAZzqNBybkJHKi3TQIIYSQE1KTMRYQhtJE86p8zBU1u5HcoojUoRZCKmlyTg0ZLJ1X2BzkInR1IrHWkF4n9Bg3ebhpN7TsY/G4UUkP5cK4fLl7Q4Wpqtayu+7g8YFqyLzum9znZvefuYYPHF/Xb/9mY8y3LfdfL+fsya77n581HtgLkKIUwJMDh9edPyzaxbXxOsEwbBIzAOXLRLXa5VC3SfmSBUBU6DqgiaY1Whxg+ZJRhrpL9QPSKGNRAcCY+wqDHYivVyOqSO5Ua75Wa79Wa79W6zY0N2uF7ws11JXl51QO6PyY9p4cEyzjTuuwYdDXRj+5Pe7rzuAL4bP4nsjx7U4472hIKzjwt/3oXw2mZ/fxn1qU7OKIWM4M+7bgNHJHLgOg+sThLy+hx5QotGyXfnSfvwuVqxAWQxf/WDB/nQxHpMfB83UIIT9hrX/2FFs8wyyMTk2C7kiP53Ee8BnCP4rNggghhJCjR9GUDB1GlUtgjqSSJ/SArIYZkkpwqdE2rdFdnx6q1s3n+5WgtX6TBCBVqJkx7pzut5phThhrP2ntGkhVShuSbOwtZd0vSUbBZV01COaGtJEdg7G6qt/SgIazRvsaNpibVOHKUvd9OGDG8PkTQsEya2VAEoZE/ywNCTl64GeDeH36i6/hF9NrfzVV/ucCp1fvvJSxoH76+IAJwWRln089XTglA7vhN3yMA7n9AGDg1dLss1G2SHtwOTQABjZ2AACsWy8OngKdIgSAaQMn7fnFULHm3V5v7pQ7azCpW5INmpxZarloqdFTz9KGcAMQ/iQZjEPUJjZ9YBo3VR7+saOkDrZcBmhbX1RVoGlu5PO5LTXw/qYLFppsEXXdXdHaLjSMhdeYFCHb1Kbkl0bdqEoxc3hLygUmO9e9UwaY8wbzKWO4lCsDwEDTmbMNybL4tw8mI1rHIaM04FIOQDiU02a2dGnpNYk19yeCXZkLHzcEX8jGjbWuWxq1f2SEW+fpH/2rYcitu+Uynx2mBc/1Wu7v9PeQ9zee955J2atFwjD2lCxmQFW3vaMdQRdA2Lq2HheOr56kpe8Oi5xsFTgKXRx61FQVE6eObhghrHGrGtvl3BpKcXasYbN71+iayy6tkVfaA4bY4JLEUUmDEHICa7nL6/lnlt8+rKWHfMylu8fAuGh276VdXB+FEEII+Ylg+YGsO0MtzfexDTljkXw/r/YzWYCpX2Y0mLyuiY2ZRmjlNu/TrlikpVDHIQBAUoltl6yDeGx320ZLh6WsmufnmvllkyUCRCX3CrXhzjgScuaaY3FXVhszXnhfu+zMhusHaRKgJyVPlT2oAwCTBbeFJl3gsXIA3F9jX/hO9p5DmnFJT/rL78bvubL6hhGmf600aZ2VSvps20OBkph9T6qWSRsSBo9ko1ufUiqFbHQhcr9nHEIDmBnF6QDEloaDy6UIAYCU7NsrITEMGxR/d6fc2WN5vTL+xX/hlF8bi06VMrKh1Wt734itna2qAHRR9cfQqqB56DTZlovEjuTWh6Obd3bp3FIJWLxvxtwXBNz/DSTk2BJjeMsRjDoHunvKAIyDldzRrf9KCs8azZGrruNJaB2HzNxqAwCpj5yzb125Om2DBHRxObykEnwpU/lNvfsXwcSTacnmUkf9amgxg0/AzrQ0Y1fezpnw/aDnFEsuCYjrvqXJLY/HysuOKAPDl+8WOM6vm3jB3smASMq15ebg4XcptEqYF3+UnjXJe+WlXjVoXVLt3BpK9XY94JozT7v8XM+ll/iQVGojtEg4IT95LV0AvGxJ/7uXHN9UCCGEkONOlKVX3ZnefkyXYksya9q9W6YIAdCl8Iv57Tz37aBUWMq6p3XIsWDm+aai+V1JvXO6YenzJUsPfpU1bMl5dktOO28P2xa9bVvUXk2aJ+ORR/fvmxgtz33g0dbp7R2Xaqk26Jgz09GNtKPi1xeov+4gKPzi6ontj/JPEQIA1fT5YvegKz1qtdK1WQLxNfFV18RXtRuLaLvvD+2+P1VxfXtsYXGsS0dqwZKr3LWr3Ae8pilNDxU17fuxyVp7p3XfT6LCVXWnq+MKu3vKou7Xgdfbv/IdhzyJj4sTXan9AAedV8Tkvb/owJ0Ej/bV0AJpn23yXF+Ytq5LT7zULfEvL+vK/I2Dscql/e4+5H9dS6WBtPfmpr13aG4H/v8Kbup196bOQ/uO6N+e8+T2A/5Hpy4VrsiY80JzVO85eeftvZXwkfdEEEJOXMd4RwDXqBlPPdqoitDqWY/P2tn9GwIhhBBCDiDljL/pT1NyFW4p6XG8c/kR03MGes4Z7nN73M9sMJwcEx9PwlPuEHf4ZlxfMyCe9vbbmVXd26vvp4YZoyOHxiKNhpAq7LmB84aqvjWOuiNdO4MQciI71psC5o68YhqAuGPRU9QFQAghhBwx7hw8+bppRcc7jR89U0Zc25X3z9VpNSfNx5OT8JQ7ogfti9+2vFpjpMfd3BTvN6R+aIbGAS1i3La64L2vzCf9LwghP22s1NL3eOdACCGEEEIIIYSQY+W5K/Obv6FNAQkhhBBCCCGEkJMCdQEQQggh5MhY8r0Xne3NO9azCwkhhBBypI5VFwAvvOaN8I51rV+r5o2xHvgGaURt0UMeY3sbj1KIQhSiEIUodHxDJzKl+LYFbe6wy2edYe680LElbIW+8aXhNHquQAghhJzomjvsudartG7qGU29HDpT5b1bM97+LL3ycDY+OUTNqnmrGlURWl1zci+3Sggh5MeEFwQzbvVJn+bVfibv3yOba6Zzva4JUcXEtDKrf64rXMs6D6U6TPulZBGYEW9yA41yzmxZUSHykpW/0ewPm5x1gO7ftOSld3MVbimZNLG0i81/nph4w85zG3vcv8B6VG7vpIuUzNNn/M+NM6ac0d/BEan9bunbf37opaUNXVpvnVn7/vz+J569JP+73547YX5j67p1UuaI//r7/15zyaAMBfGq9R8/8eA/nl3f1JVV7ZiFTbuDP3Qu2/CoetVH6LSI7GZXT+fXTGC97EAMG77Wn3hG/9rTHMOIi/nNF/PhBWARbPhK/9vT+tqmTioEwC3hc86rHd83btLk8k1Zc5c66zr7hGgsqrrvqoDpwBcrl/R74nul5RSYXnBa5S0Tkp8+33tpl3b4I4SQk5kMAJLLN210tH5tzpxayZDtv2BM7QzN9OASy5EvB+pbOeu2e9e2sxUyIYQQciJi9rj1nIBjXEwCDmyaCHlMY+b5yfhHbn+1bp7ic98qtIfdsUjqUAodldJ7JX05Ut4jUvAPcV9POatMD1yvssVGRx0AQKtdNvOWZYCUd/OAiaXFx+YykKOE2Qddc8WIHoHqbTvUjH5Fp19w23t5gSHXvF2eclM+ZsgYftEN999zzdj0g0NK4c/mzrl9pAzP9g1l5gGnlV7495eddWffOb8hVYueKRh2Dr97Bh/u7E7yVnbJBSy/Sewug6snGzqRz8rGpDv1Kg0550jP38pkwF8PUxaGncvnuDH5Xr0m9WaDPHHWpXvPc1mXLMqqMYbOO6f6Fq48stgaTVkoUZv5zGuu1lkmwj20+prB0qYaSQcAYc8LnD2mfmwPFTB249wIIeTkJQOA5sl48pkMrfmv9m6LWrT9uvyog1tS3k0IIYSQnxyhTPQ6ehuCL7iN13oOmNquJO0T42JtVuMSky4QqxHG3/sdg52x1VKqUAodlmJ2XY8qUpwpUcTsIjku4ZPk/KX8mD3dlJ1N551bf2avhFGX927OeHdpenms5XKkD6m8+eyg2wCAN5a5PliS9X2gJQ9Ttu+SSQ2n56o8qdSEVaArMyo6qlAbdsX269yux2flVDQ/IDeGrr95b+G63g8vN6mAZAtPOLtubP+YjTF/lXPJx9mrG3jz8Ax7D8/5pzf1y4u7zDoH9GDai3MKfoh2krzsaDrv3PrRvRMmQIsZqve65i5y16hAymMB4PbA9OlVJVH3f17P3t2FARWJ3a9MOvX1aCQpAMe4f2ybfba9aECOAeWpWr0889wHFj88ygjoB0/Z5BnDp46UEfr4jmG3feGTe//2g/l/7DVofKFhfkMsRY3pZ0kv38MM7VSYSnKvfu2FejwKAaQNlz5/hFnzkCmjSkPtZ/q9GazqfX19APZSvvifPKOUDbagJpiqQiXbOyGPr3sr/+M9koCtxhD537ENg7+0fhtKVUokDBVVLb9dkst70SB177IeS+s5AMixCefX96p1v/hh5JoptJMdIYR0RevHG21fry3X3FaR8Bloo1RCCCEnHZZYmFslAGMs46BIWtzkYIl1ijy5NnuM5H3cEfXANjDJVksiRSjFoToohdXGAOfpWiIdURcUg1Z/IRyPKYZjNZ+OmUOXX1t5esy54L0cjzEydmLt/7jFo6+76zUALFzt/GBRuj/M5bTwuHPr/+si5cHX0r06uK3p2qtriv2uBe/ZA8bo0BENuV07WgcVSrt/MOtTQyVOUdHIABhzAn0N8prtRhVgxsjF15YPj6QvmJ9Tz+LDRtdeeYXwzs7bEQcgHH28I3tJK5bmbfNKcSEsJl4RT30sMHPoZz+vHJ5wLHo/pzIqckurL+4TcXB3TSfHAgDFFRpgg2IL9rZl7Y53pVdGj8Qzpj1w382DcgcO7WVH1bxHX1qX+qk39IZlM//8/JrKRcus9739TOmBtXkaw4CtZPSIrJWfaL2GZgKJHV9WdNL69X6jPzGP1SwVltulB0u6kHWrWAKT75Sm90ffYmaF+OA/4ofmS5EUH7za8ustAAYgKLyd/JKKtPywQzevb0hOum7HWcHcJ76ye8d5B7r1b0Nd65dg6uAJ9T0C7sfWGVqmUqjm95/vLwBjj06uKSGEkFYHL96rF46sOs9l/mCBrZPhi4QQQshPUQetdmZVOXg8BO5WmVVIMlfD4E6dMaDjkOi4D6CjCgFWpri3xGvv0+R1snVsMrbc6Kw4RicLCFdx/RlW03uv5X7hZ4BtdzD5uysaJ+a55lZwAHGPfX3z3O8ak9faNGhiKEdJ98aFq7hxkGJ+653clU0ArLXWplPP7NLxOqgQ4XLnHlFd2jf5aaNBg95jSMgSdH7bwAA4i+tGm+0vvZKzMQLAUubV+85oGJ2Ts6O8td0YM6/dmFZ2SPuzo+SdAxqGW43vv5H3uZcBwp8jX9ynpUinx4pXZb26XO4ZS/uq63POmbnX8NFnthzCluG2GxgSqXqHIMKbnnxkE7j76kNCga/+edeHg5+bcuX8FRfWBS3Ztto37vrze52N2xQR8cKzAgwXdzXpfcmzomHs9B4tPzhdMDAk2yRvKuAP38fdwDcviO9TDUQAAItDQ8wSFJrboVulpBIzhKA7LIJ1+P/uAHKGb0pfbF6QXt1mLYWuFCSEENJG2y4ApvUavfdXo7VV83t+6aHFVAghhJBD8NjcvOoPoDYJWzdC3atQY/YXTfYXoY6MV1wouXiy4l+6KJNznlFMR/1Rp8goSiCQvjPYct+P1qZVi0BhjipVGDSItF6eS87y9c9KmoUUUjVwi8wACHdBAk3p5d1e7KejCqGHbV+Xs+mDmtzfZjQokVF9tIZvnTUqAD2jR5wbojfctrltRYk0nYGnbkd3lHxGjziaXNubDv2o04Vjacrmb7I3H1IyFbX8n+ed+pQ959Spt738lykT7/3rLZ9f9eiuwxzWwW2FpQMygJqln9T0m3gqkDPm3BFFn7y38xgt86iKWTeoc6wYPEF6/G525k18+irt2fKWoL2Yz3yMn2HG5je0OxaJLi1yCCBhfXNWvw81pcng704qeo/TvJlhx9zdMjX7CSHkCOzrAmBav/FlN53Gls/r9UG5RJMACCGEkDZEWNahyzYBjat+QE7KVuh7uRCpQodR4b43OLSGK3Tb60roOtXxsJHdEG88XS748v+yh15K9864vN62PWveMpsnqbsHVl9/xr70AYB1M5uUFcrb19ril/pPdblXZHhLDKZFmw3NkxQZA0KuF99Or2+z1FwylHKWRcpjcQboTG+v/OEdqwtEIliz6p0XX75xyv/26DGmyHi4XQCGoTf96ZY+bNPfbr5sdrnmGHLXrOf/POUPTy//eso79alX4jsSyTDWLdHnXyndms/OyENzF4ClP5/9JB+m4IuntbveEeEuXKNIQIIpaZOgRRU/IDsSNvC9Edaly2uIjhqg+Te6KmiPKUIIOSItHzVE+tDKX56OL9/qsYja/4QQQsghmoyxgDCUJppX5WOuqNmN5BZFpA61EFJJk3NqyGDpvMLmIBehqxOJtYb0OqHHuMnDTbuhZafuVDgsrLHCAEeor72lanNOUx6TKmplDVDSQ7kwLl/u3lBhqqq17K7b/9ygca8RjuAAR/cS6rhCAAjvda8NJ0ae1jR8eFjszljXsnQfa9xrhC2SJwx1HuO+L29n8/BTJO+vk+GI9LAcWqgLx+LJgcPrzh8WNXet+0NKK+jlaFkW0pB72vh8AL5dvn3Py5m99KYPv15V9/HD0wuVLtRnKhqUDYhwKK4DWtPur3/wA1JR3/SuFE7BVsJfekte+7J0aZtFHSQbK7S3fK9ksVE5ALA3AAAwszsf4MMUrJ2p3T6/S+1/gDVVWQM8WpqrMQAQrl7BdGHa4mmzEEDHl9eQFRhglH/YaujqWANCCCHta74hGiLnjQsnt+avjyZzM5s7V1nIb2yiflZCCCEnGUVTMnQYVS6BOZJKntADshpmSCrBpUbbtEZ3fXqoWjef71eC1vpNEoBUoWbGuHO632qGOWGs/aS1ayBVKW1IsrG3lHW/JBkFl3XVIJgb0sbuPnU/iGRM5GZKrQvHsWTY0Bhhvi1Z347ae/FlNewru9cQGTMhYK7JXlrNAah+SwMazhrta9hgblKFK0tt/dzAfFszV4/ee8EVlYYVzrIgMrO7tCNAxxUCABLmL9YZR51VdQHkr16zhVquE/NtyVo5snzyNeW2r11bGyUYk1km08r15tQTz1Mk37DZvWt0zWWX1sgr7QFDbHBJojX5zo9lLKifPj5gQjBZ2efTzmdNSvkX/X3TfX0b95ZVR4xFxYVOQPzwxn8276vPNPSqq8dlGpF53i3j//3GK62T3I39bn/kzknppvwSABj6339beFF4xxsP3vORZ8NH36sjS0f8ZdGWazfXGHqe1tsOVC/8uLyTafgGdsNv+BgHcvsBwMCrpdlno2yR9uByNI8dKL6Aj3ADYNNHsAXvieYXs8/hn9zOvNWiLob83iwNEDv013YAgKWYX5oFAI6z+MwRLQep+Vy//0OR4sNjsi7982rfJVOr6j9LrzEGJ4+NBzcVbWqzHUDHl1e4iiJW1XxAfwEAQLHFM8zC6NQk6I70eB7nAZ8hfOxGRBBCyI+eDACSPdLDBOvAqjsG7gtI37zW782qrm8cQwghhPwEsPxA1p2hlub72IacsUi+n1f7mSzA1C8zGkxe18TGTCO0cpv3aVesZencFCEAQFKJbZesg3hsd9sR5R2Wsmqen2vml02WCBCV3CvUhjvjSMiZa45wFoDcs+b2G/b/2PhVn0e/MqpR21uvFYQn1Z9/kd8g5Mot2U992rwdANTGjBfe1y47s+H6QZoE6EnJU2UPNu/GHrW9/Wph4Oz6s86rmMQAVa4rMzd1NowwRYXNV6T++8ytIyuLGzOW1ez/BCJi1nde6eEZX3/WmKozZUCVq7bkrN1gjqU8XIpj6QHXnHna5ed6Lr3Eh6RSG9m/plynx0r6bNtDgZKYfU+oK/8ajDet/3SLc3j/vkMlaIG9yxe//ufH3tqyf/3+2Ka35387+RenhZe/sKJx//NtyXnq+NETWleHMPQ+dUJv5H9j5lDL5t51vnLXA9efO6p4SB7iNRs/nvWvxx9f39kiERIGj2SjWwc+KIVsdCFyv2ccLa397Yv178fyIREx7zuxf5OokFixkw3rzQZyaEHxzXLx+Gx9ZxIAzBlozq7PUNa6liLqyiABqZ4f6YYV7xaZJtdMuHCvUZfLN+U985mtbeodX16RnptE0OE9eAyAnn9m+e3DWl4dK6zCMAAAIABJREFUc+nuMTAumt17adcXaySEkJOODACaJ/PhRzOPdyqEEELIcSfK0qvuTG8/pkuxJZk1S7oZAqBL4Rfz21k6r4NSYSnrHnNrPsw831Q0vyupp6Iblj5fsrSDoOpPWzgvbWE7EdawJefZLTntlwrYF79jX9y9PFJVCECE0577Zzt71mkh69JFvdrLn1Uu7Xd3+yeW6ljhiow5LzTv+6j3nLzz9t7Kvr2QOz4WAOhBx5yZjo7yP4RatvBvFy/8W8dvEIHv/j3+lH8f/HLk2+tPOeX6dkto/q/n3HfOnPu6nAMAICp+fYH6647jTRv1Ky84uE+l8lP9xk/b72jxfKIVf9K9FJrpYevH7/T9uKNoh5eXb5k/8O72Xi9b0v/ujv7jEUIIacfBmwIeZa5RM556tFEVodWzHp+1s5NNawkhhBDSGSln/E1/mpKrcEtJj+Ody48TM0ZHDo1FGg0hVdhzA+cNVX1rHHU0xZwQQshJ4Rh3ASB35BXTAMQdi56iLgBCCCHkiHHn4MnXTSs63mn8iHFTvN+Q+qEZGge0iHHb6oL3vjLTZxRCCCEnB1Zq6Xu8cyCEEEIIIYQQQsix8tyV+c3f0Hp/hBBCCCGEEELISYG6AAghhBBysmIGlJ7Fr7+S9ep8T0NCCCHkJ+BYdQHwwmveCO9Y1/q1at4Y64FvkEbUFj3kMbZ3w6UQhShEIQpR6PiGTmRK8W0L2txhl886w9x5oSNgSg8P6RM3HbrJGlMHT93xjzvKz3KJdor9SEhZ/K8P8N/eyIuU450KIYQQ8n+heTlAOXHKmXVnDw7lWQWSyp4tGfOXuqqPysI4NavmrWpURWh1TaptYgkhhJATCS8IZtzqkz7Nq/1M3t++5ZrpXK9rQlQxMa3M6p/rCteyzkOpaAOT9deo4VzBAtz+jiHja84FIIvAjHiTG2iUc2bLigqRl6z8jWZ/2OSsA3T/piUvvZurcEvJpImlXWr+i4KJO+8utj/xXM5eFQCYJfA/t1WJhQOe2ip11nzXC8+quCEz45EyY0w7MML09IwkN4osU1dyOIaYhU27gz90LtvwqHrVR2h/F7sTkqmI/b+7+GXDmFnH9q/0R57Qv/Yd+A4jm/6Q9PtTEFmujfmzaGdjybZkjLiY33wxH14AFsGGr/S/Pa2vbWoJukv5727mk/tBBmo3i+dnaq9t7vxapc7wx3vlCSHkJNbcBaAzSZE3rsj/oInZ8vxTzqy5MWF6eKn5yFvtvpWzbrt3bSd3LEIIIeREwexx6zkBx7iYBBx4GxTymMbM85Pxj9z+at08xee+VWgPu2OR1KEURLZac2cyuUXJfovrpcmGG+LwmbI2M71X0pcj5T0iBf8Q9/WUs8r0wPUqW2x01AEAtNplM29ZBkh5Nw+YWFp8bC5DV+iGFXP77rbzmsau9HYcE0zBsHP43TP4cOfxSuHwcQd74AnpIic0j6gwsf5j+Au5uOBWfee+3zsJU34j/f6UrlaYc470/K1MBvz1MGVh2Ll8jhuT79VrNMi5/Km/81Mk+PaIShMbUsJ+/w+p8efaYu9hZvijvvKEEHJya+kCUL77NLfllTKT0jf4s7yECUehC4AQQgj5MRHKRK+jtyH4gtt4reeAjXOVpH1iXKzNalxi0gViNcL4e79jsDO2WkoVSiV+djIWl/KeUywR4Aeu94l6LtTSt8jcrutRRYozJYqYXSTHJXySnL+UH5uGNrcFp11UV5qbsEpoHgn43ueuijgAGIuq7rsqYAKA+t/+uh4AYPjo+T4fe5jrlN1/PDfWXMG6uf1f2btvYqHIH733FyPCLoV7ytPKpFBpgda0O2vOQndFAgAkW3jC2XVj+8dsjPmrnEs+zl7dwPeNROD2wPTpVSVR939ez94d7zz59LOkl+9hBkDv1tRGhmGXSX+ZzvrbEfLCdsDlwHm/lf50Fks3AUDF9/ozT+rvlkEAp98jv3o+Qku1cX8VYeDU/ye/PgXeD7SJj4lY1w/dRvZYfpETsTX61P/Vqw3sN7OkG/ryXxTrv9vY8oZ+l0t/n4BoGGbrwWXThvLn/sKHRMUD/097s7LlxdrP9HszWNX7+voA7KV88T95RikbbEFNEOnD2CkSIiu08+4TAYnd8oJ0ewEblYt9XQDtVpgiw8O88oQQQo6/g/5scy27r3d0Jtu92dzJswtCCCHkp4clFuZWPeZu2nbIAPm0uMnBEusUeXJt4YMNFmGKeqAMTLLUoY5xEesv2B7Z4E5WzIzWnAHLeoZCLWkAC3CeriXS9agLikGrvxCOOYrhWHXLM2O8X0Ei8G3Bf94smrPcppTU3P4zT6YEAIma7Mef7/XmHoam9Nlz+vzt+T5/e77oKz8DENhc+Mjzff4xP913cH3CnhtxerOefT2nIss/VLiffzvTW1R/2aAkB5gxcvG15eekWRbP7/n0/JxN3H/lFbV9jfsLK67QABuUzGBvW5fWF/B+oz8xT7/rV9ofN3fjlNNHS7NvYf3t8FWK0EGtax0BFcEasX6T2B1E4TD+0CN8kBEAti0XEcA2mPUwADIbNhAAvv3iMNv/APoOZwBWvi8unSmv+A2WfSwAlA5hzYsS2Abzp/6bqev0exa1cyn6n8dL7ZCy2FWns/0dTUnxwav6+gAACIABCApvEgBiPkQBSx9W6oZkR3E6kBSrazupMEWGh3flCSGEnAD2P+EQ7tP3/H5iDEBkZ96T3xu0jgsRQgghP1UdND2ZVeXg8RC4W2VWIclcDYM7dcaAjkOi44asLFQr+G7GrCJpECJd8AYGk9AUsDLFvSVee58mr5OtY5Ox5UZnxTE62X1n56uwbSvnKLftatJ+f2nj2bmuuZVcJOUGD3fGGZJyo8dY3+aTgR5X6uOQILfbM6GGTXsrzWYPGxg27dljWNvYcF6mKkOxFteNNttfeiVnYwSApcyr953RMDonZ0d5yxOJeFXWq8vlnrG0r7xdGvMgIuKFZwUYLu7GuWLkpcwO1L2rTXlKxPP5gpd5nzbxlY9qkxlsDpgs7E/PSZOy2MhMbKpEaJv+bUIal8XG5WKLH2OLgKT4cHvXD3xwGu50ANjlQ3423IJFlkMAaVmQANXC7vg97xEXv/ubvveCdgaTbF2kfzuCD46K11aLQz+wmQr4w/dxN/DNC+L7GAA0rdH/vEx6ZDz/zzzeGEaGBQv+qi3xpKwwZYbJw7jyhBBCTgj7uwCYf1PBP6qTmfmBs8dU33Exe+w9h4/WdSGEEELa4rG5edUfQG0Stm6EUlW4zdDjXoX5mD669SWN2V802V+EOjJecaHk4smKf+miTM55RjFFj8pJpBCuTKsUTYW5qlR5pA8DRMuTaKYLMCYAPaNHnBuiN9x2wIPjRJrO0DoXQFM2f5N9bJ8ry6w4FwA2rRJhAfmgTh8ju+Q2/r9TmaPNa2lGABBNYt4ajBvFpo5mr2/hgySIzfq6JhypmPjTddqTCRE+bX9Tv/gqPj0bG5/WF9ajd3uFQpv16Ze1/ynNXsxnPsbPMGPzG9odi4QKAOBWDOoFAF+tEL1HMwDDz+J5K/TyROcVtpshIYSQH6028xy1mKG62lBdbd0dTt53QeMpjrSlvuO2wA8hhBByIhFhWYcu2wQ0rvoBOSlboe/lQqQKpaAyOQzdLYSA5GEA1EyBGJf2PVZ3aA1X6LbXldB1quNhI7sh3ni6XPDl4d2YhQ5wsX81AS44kNTbHfLABMC6dZgO3izEwaMgGANCrhffTm87oCAZ6nRXgqOsOStFbidUOIU/MpWhQTz1sr4zya64nY+27CuGbxeI0CjWdxI7K52lARs/FZ7DTl3A4wWAvhlI7BA1QJ+eYECgDqqRXXY+AzDkVmnTrS1vt4yT1vxHn3CzXpPy8YylP5/9JB+m4IuntbveEeHW9Iqvlqb3wLZntV/NE7qd/fJh6e7x/K+r9es/QocdPSkyPNyTJoQQcgJobwkXoUMAnFZ3IYQQQlo1GWMBYShNNLejmStqdiO5RRGpQy2EVNLknBoyWPa/pDPTdiZ6abHm1yQRHiZQISnNj2W5CF2dSKw1pNcJPcZNHm7aDS07dadCx1gkIMESy27dvU9xRNMh+aLttN2NmaFcxqvr5H0tQzXBYNAM7bXzhcpVCIuh3bSkjXMH/m6htc2ifqxxrxG2SJ4w1HmM+7688TZV8+TA4XXnD4uaj90zCFVsqgCA06awzEM+6mT2ZgAavtJnfyA+Wia2hQ6INm3Q3/cCPfgfLgYg5q8+oP1sKOTPzJO3LpB+1a9LiexaLQCM+hkvkMGs7IopDMD6TULVsfM78fWalq8NDQCAsPjiexFvvdK2Ev7SW/Lal6VLc9vUaGZ3PsCHKVg7U7t9/v72P4D8fgAQjQgd0EJizXYAyO/B9nWDtFthhxl26fwIIYScmGQA4LbgxKFJb70hmITVHRozNizVZ2300xAAQgghJx1FUzJ0GFUugTmSSp7QA7IaZkgqwaVG27RGd316qFo3n+9Xgtb6TRKAVKFmxrhzut9qhjlhrP1kX9eA8TPFNC5RdyPLWMb1oUlvAUt7XJIFAGhDko29paz7JckouKyrBsHckDZ27+F8G017nOWi9uIpDYmVNr8SHTHRZ4s4V9ftX8a/z4j6MWarj8dGjffZvBnLqveFuLfKKIb6zx9uWlEjGR3J+C7nlmBLHnrUVBUTp45uGCGscasa2+XcGjr04Psw35aslSPLJ19TbvvatbVRgjGZZTKtXG/et6KesaB++viACcFkZZ9PPV04WwO74Td8jAO5/QBg4NXS7LNRtkh7cHmqh9srX9NrhvPcM6XP3xRlCda3TbByg0hOZZmXSAv6iD1RDMw6sGxMvPaeuPoXzCVD/0EsbzggmDuKTcgAwH4+hc15svNlAmu/1D/4pTT1FP7xPFZnZLlmYKf+4lYgKeb+TZvb+rb+v5AW/pxFvtPvmin27bJcfAEf4QbApo9gC95rmb1vKeaXZgGA4yw+c0TLO2s+1+//UGz5QminsNK75aWXiHqFDSkEID75UsRTVthhhod35QkhhJwQZABgiubu4R03OmHlEHFD2fbsmcvT6+hPOCGEkJMOyw9k3Rlqab6PbcgZi+T7ebWfyQJM/TKjweR1TWzMNEIrt3mfdsVads9JEQIAJJXYdsk6iMd2tx3zzurk3CdF/bXJutvBmrh9jjFjMwMAq+b5uWZ+2WSJAFHJvUJtuDOOhJy55rD75jW/68W3tZ9N8P78qgYG7qt0zXsve1di/xt0c3jSVK+V8cY9Gc9/lFnZZpW/wJbceYVVU8+smsGQCNg+rnJuCbbGEubFH6VnTfJeealXDVqXVKfuAoCIWd95pYdnfP1ZY6rOlAFVrtqSs3aDOdY6uD3ps20PBUpi9j2hrp2rhMEj2b6x+kohG12I3O8ZRzuL5O0T2qhf83v84UY+vhfrCyTD2LNB1KsAUP+5dluh9JuLWZ8hrAcgYqjYI3a2Oandi/WV06VRCpa/qdceOCa/eoVYfDE7PxdhX5eawbpf/PFOPXgXnzaE5QrsWKE//IS+s2s7P2xfrH8/lg+JiHnf7T9Tc0bLBod9hrJ9CxzWlUECKt/X/kvmv/4ZP7U3ywbqt4k35mizN3dSYaoMD+vKE0IIOQHIAKD5nG++4XzzeOdCCCGEHG+iLL3qzvT2Y7oUW5JZs6SbIQC6FH4xP9xOQNqs5P5eOfjVsJR1j7k1H2aebyqa34XMU2NNezJf2JPZUXTPsl7P7+lgBqBq/ObD3t982H5B//acJ7fntH1l6/yB97Z9i5C/eWXgN60/aSHr0kW9lnaQhx50zJnp6CDYnqj49QXqr7tRoEXNSv3Wle3Nqlex/AVt+QsdFrQVsp4K4NFnrTlwJQUGmyRWb8L52WLuUtHFLRwjZfr9d+j3p3zP9he04kPyadqoX3nBwfl7PtGKP+mgFh1r5uvXzO9wIYF2K0yV4eFeeUIIIcdbe2vhHEWuUTOeerRRFaHVsx6ftTPReQFCCCGEpCLljL/pT1NyFW4p6XG8czl5MFzyiHRzFjJ6MCvw+bP69wduziDl8Dkv8QEhMft32suVxylJQgghpHPHuAsAuSOvmAYg7lj0FHUBEEIIIUeMOwdPvm5a0fFO4yRjYL3crEcPICI+fln/w9KDh/pr9fq9t4r6HcJLa+URQgg5obFSS9/O30UIIYQQQgghhJAfp+euzG/+hnb+I4QQQgghhBBCTgrUBUAIIYQQQgghhJwUjlUXAC+85o3wjnWtX6vmjbEe+AZpRG3RQx6joZ2yFKIQhShEIQod39CJTCm+bUGbO+zyWWeYOy9ECCGEEAIcshwg03qPKb9lZKx84YCntkqi/TLdUbNq3qpGVYRW13RxfxxCCCHkuOMFwYxbfdKnebWfyftvhlwznet1TYgqJqaVWf1zXeFa1nko1WHaL8UyQ+4bQjKD+kWGZ6UsIJRz6rIHWWufsqsadP+mJS+9m6twS8mkiaXU/CeEEEJINxzQBaAXjtw741T1KLT8W/lWzrrt3rXtbYVMCCGEnICYPW49J+AYF5OAAzuvhTymMfP8ZPwjt79aN0/xuW8V2sPuWCR1KIWOSgnDOQFlXVbd5nD2jCbDmvSEK+iegKZ/2VQNALTaZTNvWQZIeTcPmFhafIyuAyGEEEJ+ktpMBLD3r/nlcP7hW9llxy0bQggh5LgSykSvo7cUfMEdjR8YUZL2iXGxNqNxiTW6we573pm0hx2DtU5CKXRYSkhuoXskPSwLk8oNqu2qJixzB+u6MKyAEEIIISSl1i4AyeG79rzIlvcLvmqkFQIJIYScrFhiYW7VY+6mbYdMhkuLmxwssU6RJ9cWPthgEaaoB8rAJEsdSqHDUkyrZ3LfhJwbl2IyP93rMNq9y5SjOESPEEIIISet5vY+T4yYUpexOX/Bbkk/zgkRQgghx1MHTW1mVTm4GgJ3q8yqSjJXw+BOnbFUoRQ6LsUSnzhjPRtzrk3GvpSs52qhN9IStKAOIYQQQo4GGQDSBtROTbe/8q4ldrzTIYQQQk5oPDY3r/oDqE3C1o1Q9yoUPqvnUSu4Zr2x1vF9WuKCmoIiJD53N35i1GkwACGEEEKOgAwwtf9pIbMV/317YP/rF237S5+ef/nAEu+4KCGEEHLSEGFZhy7bBDSu+gE5KVuh7+VCpAodXoXNpGFeZ5bFtyWS3sNe9zjcd/ktq7ND/v+DcyWEEELIT5YMCOmHRX3+sW+SoTF81TV1fHnPVzabEsc1NUIIIeTE0WSMBYS1NME3mXQB5oqa3UguUUTqUAshlQTtvXjkc1si0oUKAdgjrmnJ6Mvpav96UWlQfSweCco2AT8tCkgIIYSQwycDYFG/MbrvFWMyDvCAsT7IabQhIYSQk42iKRk6jCqXwBxJJU/oAVkNMySV4FKjbVqjuz49VK2bz/crQWv9JglAqlAzY9w53W81w5ww1n7S2shPUYrp5kt8xs3uml0Sc3NWpDGFyQqPhqn9TwghhJAjIh/vBAghhJATCMsPZN0Zamm+j23IGYvk+3m1n8kCTP0yo8HkdU1szDRCK7d5n3bFWh7ppwgBAJJKbLtkHcRju9tuNNBhKT7Al97X5H3UpAtgoyM0wpd1M8R3rgjNAiCEEELIkTm0CyBuf/rRkuOQCSGEEHL8ibL0qjvT24/pUmxJZs2SboYA6FL4xfxwl0vpW91V97X+EDH5/5XbhcQJIYQQQjp3jEcBuEbNeOrRRlWEVs96fNZOWluAEEIIOUJSzvib/jQlV+GWkh7HOxdCCCGE/Mgc64kAuSOvmAYg7lj0FHUBEEIIIUeMOwdPvm5a0fFOgxBCCCE/RqzU0vd450AIIYQQQgghhJBj5bkr85u/4cc3D0IIIYQQQgghhPzfoC4AQgghhBBCCCHkpHCsugB44TVvhHesa/1aNW+M9cA3SCNqix7yGA3tlKUQhSh0goUY+syQL7+EtbN4SIoQHKMr/v33uj7tHYtCFOoodEIx9a97dGb5hfmi87f+H1KKb1vQ5g67fNYZ5uOdEiGEEEJ+LGQA4HbfHTfXGJb3/cc3Bg1636k7bulnfWZmwY4jX7+vZtW8VY2qCK2uSR5xXYQQQn66RObp3ksnNZUUaBKYb5f9ozczvq7knTa+mTExfFrD1FHRdAWxestXCzIXrVNa7jhK7PIHKsc59r1X+uofPd/YzZp/MOQEp17mG1WSsDBE682rP8h651tFO6BuvWhU2NLoWFvHAMAYvf6hqtMPam3vzfrDo2l+vfPTsxSExp8dOHVgLFuyPv3HnK2xw89Q929a8tK7uQq3lEyaWErNf0IIIYR0Q3MXgCVhA5wDg85v3R4pdlovDUrSZQCOuAvAt3LWbfeubWcrZEIIIeQAuqQHvne/uEDW7LFRF3mvvplX3J+xN3X/MdOLr6qaPsyweE7BBp/ee3zD5TNq4n8t/LCaAQAXFgMq381/ZbMEAAKhhpbWtZLrv/V/G3vWpS2cnVkW0TN7RXLj7ODuBlN81FC9cZm9TgUAJIyL/lXwReuAFzmj6efXNUW+N0Y6bf8zvWBi7a0XJiu+Tvv09fQ6n1wTbw0dVoZa7bKZtywDpLybB0wsLe7s8IQQQggh+8kAIFsSBp99r7VpoD19tTXQN24rQyLLIhBiACRbeMLZdWP7x2yM+aucSz7OXt3ABUT+6L2/GBF2KdxTnlYmhUoLtKbdWXMWuito7z9CCCHdxTzfZM5t+d5SaQgPvSqWbUYnXQBKYthAzftlxsfrjEmg4i136Rm1Awv0xdWSAMB1m8IbK41VVQfOeuPqaVd6+oQc//pn5vYoAOzaZj20blPPpsFmZdkapbkHAII3lpsam7+XkuMvDTrKMp7+xNjpPc/cz3PTefjg4aIVdezg2JFlSAghhBDSXRwADFZVjlm/rlBP7ZXMKwnHNjtqNd1hEgCYMXLxteXnpFkWz+/59PycTdx/5RW1fY0AhD034vRmPft6TkWWf6hwP/92preo/rJBSVphkBBCyOETlpzw+DGJ5E57WaeDyFSp2of0weE8EwBYCiPZULZXt0wf4CbVxlnCqNpNBzzgZ/bImf1F1afOndEUVeu9zgybG+zr6g9ptwP2YY0X9pI/fcPRMkAgBaYOndrkgjrujj3/mrnr7/dXX3paUmkNHlmGhBBCCCHdJgMQ5jSN69Lu7y2Tx3rGmvi6BQbbEM1tFACcxXWjzfaXXsnZGAFgKfPqfWc0jM7J2VEOAGrYtLfSbPawgWHTnj2GtY0N52WqMhQaB0AIIaT7pEz/PX9uLAAQtr4+K61B66yArqx6JXPgHQ33PBBZt0kqOC1W/mb+kqqWRjs36YkmccqMvcMZErXWT9/O/GizrAOyM+GCtG2vlGoIvzk2apDesNRWf2gjX06MvSjMNuYsq2ynd+BgxsSwniL0g33xMktdXOs5puHqX1aLxqJ3y9mRZkgIIYQQ0n0yAGGy6lzjkRrnbmf56eHsxX52hg6jWTDoGT3i3BC94bbNbQsl0nTWZi8BIQAGgOkC7JC5lIQQQkjXaF777IdM7qzYaZM91/ymVnso5xtvJ81sY3rCLSvrl9oqrNE8phWPCvZc494eBgC1xvX471yAMGdFz5xWd8ltNdpfCpbUMAiI5ntXC73kprJfWDL++uT+hf3MvZtKTMrSfbMA2h6xp39MlrT6FUuwCzc8ZlKdCuq+S1u7XQJQVZfV75Sq00fEF5WbkkeWISGEEELIYZABwGjVhcZEwrLg9d7LVUOjllR1GEw6B2cMCLlefDu9vs2zmGRIEtj/yUSItp9TCCGEkMOkSY2VUmOlaftOKeOhunNPU7/7REkxFICZI5ffENA/6PHiUkWD87NPgzf9se7ac2x/WWBs03Rn0XrLZ69lFg+uHT40+WmNQWsyNEHLz9f5Lt7coJZMusnYtl6995kRU71zXcOhHRB6zzEhmz/t671dm/amMw0wpekckg5AlepDGObSJaDNKgfdz5AQQggh5LBwAMJoEkKFAAt7TFUBLgRTdSgmnYE17jXCFskThjqPcd+XN972M5G0ce7A3y20xjs6BCGEENJNggkBJrXtXxbOwb5LLmrqYdn/ErfH88y8sUZq7ibQAqbtXtizNRmHaHPf0oPmbytQeHagqINGNTNHzxyo169ubxaAIXH6QL1pg622nXUK28lQRJW9AWQNjlsZADBjssgJf5XczhoC3cmQEEIIIeTwyAATZkXokQOedKhCGIyCg/m2ZK0cWT75mnLb166tjRKMySyTaeV6c+x4JUwIIeSniKtDJjWle4z1TZzZEoPGewZIxve/bzMEwBi75AbP6WYMSZge+sjQ0ub3m7f6POMubzzrLceugMg+xTs5l+3+2JAAwPSeZ/v6RYxVHgm2+JCJ3mLJsGiDogHQlFXznGN+7bv9Tn3hJ9aqkN7bccA2uOY+TcVG5ZN17QxAkNyRPja29wdDO4vetJchksYVXxjGXdhwzTlsyXbW45yGwdw0b5WiHlmGhBBCCCGHRwaYbpKha20m8QumtYwCgIhZ33mlh2d8/Vljqs6UAVWu2pKzdoM5RpMRCSGEHD1c2DKi4872ZVkFBG/cbX33iYzPa9r0TieVH7bKpw3hP+yU99+BEqaF/85mV3ov+Z8mE6A2GTcsyJv3rawDYLrdER8xyZ9jEwD37La+92TG0tYKY7syHn9MvuQS/0U3BgxAssmweb0Sb74PMq3vWRFDXXp7swCgpMddkL9rbG+FgnYzBKv5OO9Zpf7S82v+3zTEaq3v/ztrRXPxw86QEEIIIeRwyYBu+OLFki/aviiUr14q+ar1Jy1kXbqo19KDS/Kt8wfee0Ap+ZtXBn5z7FIlhBDy06UqK1/NX/lqx2/Q5W9n9fz2kJcTtfa3nrS/1d77N87P2zi/w/pCu5yvPuY89IDMEhtdLOo+sja0t+Ff7Ifcu27pXobQ5E2yVPfXAAAgAElEQVQL8zYtPGoZEkIIIYQctnbmSx5NrlEznnq0URWh1bMen7WTxjASQgg5wVn7BQYoho/amwVwgpByxt/0pym5CreU9DjeuRBCCCHkR+YYdwEgd+QV0wDEHYueoi4AQgghJzim9T0rqtSmr293qP+JgTsHT75uWtHxToMQQgghP0as1NL3eOdACCGEEEIIIYSQY+W5K/Obv+natsaEEEIIIYQQQgj5kaMuAEIIIYQQQggh5KRwrLoAeOE1b4R3rGv9WjVvjPXANzjVilnRun7tlT28ECGEEHJUSZbTBve7cFivwZYTamEApfi2BW3usMtnnWE+3ikRQggh5MeidTlAgztwwbkNZxQljEA8aNq2PufNVZbokW9AXLNq3qpGVYRW1ySPuC5CCCEnN27o1atosI2p/qpPyiNqZyHJaB9Y4C6yKRK0poB/c6WvQRUAjK7CSUWmhLfys4qoypTe/XoOMqu7d5T9EDngtqdYHFkSkAxVxkTbAxUW5JW6FH/FnhVe9eD7ZIoMO8Ikp9PZy2XNsBoNSe+X2zxNzZUyJTvL3c9tcykM0MPhUFlN456wJqD7Ny156d1chVtKJk0speY/IYQQQrqhuQtAiVx4ZdWomHPhu7l7o3BmhQtVOXnk7X/At3LWbfeuDR+FmgghhJzcmJxXWDDY1t4D+fZCTLYO7ZtTIEMkExFuSHO4RxqwbIc3KJhi4AAMjjRnVdSr2IrMALhZYkDbOx93uS0yEPMHg3pLjS6Xa2Cu093RZjopMuyohGTq1yt/gJUDEJoaTugtGTClR6+ioXYOQE0mk0y2Wm1uqWE3AGi1y2besgyQ8m4eMLG0uOtHI4QQQgiRAUCyR/ra+KYPc74o4wBQaV3fHDWEfnHbXuviAU9tkVo/Fons0bvuKXb+bU6GxxKcdlFdaW7CKgFJZc+WjPc+d1XEj8tpEEII+Wlj9szcU52SpkGSuhQyOdILZGjBumV7miLcNKh/YW+zs4/Fvz4sFEUChJCsBRYpZkmzQxfgRunAprtk7mHngFrti2sAAKMje3ShhQMCaLcfouMMOzonObcwf4CVqyHvukpfXVzf1wNhcmYNtnPo0S27qndFdAFIiiKretfqJYQQQgjpCAcAPWKqjet9hgUzDnqyocuNUZjtGgcMtoTbIhiExaGJqCGigxnj/QoSgW8L/vNm0ZzlNqWk5vafeTK7+LmHEEII6TLZ6j4j1yRCDWs9B08r6yDE7XYjIBo9ycJ+fScVKnXeBCC5rDIHk2UOLVYV49nptsJ0QzIYCgGKwtsuj6NYHZkcSAT3zQKIN3m2NnjWbC/fEOlehh3hRsdABwe0gGYoys0qybRaWzKQM90WDoTq63dHWvoFtGQyfjRG5xFCCCHk5MYBQMRsb8/Pqsiv+t0tu/9rTKCnrfVThibXh5nVqUk8Merynb+dGrQwkebQIx6l9QMO81XYtpXbNqzN/c/CtGR+49m59IyCEELIUSWZi4tcVj2yoaIpIroY4kaFAWpQZWYDMxokNa4BUAycgSkyAzSPP2FwZfY16g3+hA7IStseAMnttkhA1B8M7qtWj+2q9lZHtXbucyky7BAz2a2W5mM5bNkOe++8vAl9XHYGcCnNAEAPRlqe+8sGo9NiSlNOqFUJCSGEEPJj1PqBJ1yZ8dyzA/6+2BEtrLv9lp3Xl8YNAARv9HKLK2mwhU/JgJTfVGRWs2wI1MuHLnH0/9k76/g4rmvxnzuwzLtarZjMHCcxxBBwwE4cjhso5qV97a8p973Sa5oypJS+pq9toA2nDTvoxAHbcczMtmRJFkvLvDt0f38ILNiZ3R2tZNm+308++ax1595z7jnn4tyZibdZ2rBYUSKQcwAEAoFAKBzIWuSu0UCoq6edwzkn9SMlDxxrfu9kKD6QjhBLASBIRWNxQCAl2pMYABiGOr3CZvSVJgTAt4e4HDa2c1AjExoNDQBcsOO9gw3rjnd3i4AMjklGCjBgDAB9/wegrJ7yZZMrFhRpyJd8CQQCgUAgjI7BJ/8lurPe+UK9fduSpm9e1XG8sWZrBAU7WbggXT455mh1bbeELq5IIwPV6aMlgBFLfYQBELlFQSAQCIQCQmkrHBoAsJVWX1fa9zfGVrZK2/PeybRsUn00zWMAxswiKcknAZl0NADwnISB6r2bjtORw+1gEuN+UY8AaPr0FoDGaCmiALhYeyqHJb2ChvVhhW/r9K3wscRJWEzFWpPFxSbKyCIEYkwA0FAmPY1iEjn+TyAQCAQCoXBkuKFAdTUaI4gvMWIAFPNq0+bosvl80y7HR0eoKYuDVYymKZwhm7YoVoKojm5GHHutCQQCgXC+gKVoNOHt/y/U+xyamO6J8aIkn4SlaDQNgIqKzAYEQOuqHBoAMRAXJEB9R/6x0O0LnAymRYQQAEWj/rGNdjkNFEAiFI3lsv5W0LA/O2NwLJ4xadU0T4VmYJ8BpxI8BtCYjGYKgNa6tAAgJXiMsegPpQHA4nZ4yOF/AoFAIBAIhaT3iwCW8I2L011Nxs4ohQypuZcELZz5RAgBAB80+NnwdL31ry1Md8AevqS7JOboSA7kx3ULe5bpjUEqtfiyoCng2tBBTikSCAQCoXBg7lRr+6m+fyCLp+rSYlaI+nZ3JAQAhSQUDrR7SstM7itm2FMUq6cAkqHGhNT/IAAadGwNIQBAfa8DRANPAQSHPgWAtLWVLjeN9HoAAIvbs9Amxf09h8JKGgIAAGVx2lwsAjDXWPxtvr6v7nLRYIeoL9PYl80wJYA10ADp0MmEBADxgLfRWV6rtVw0w5RKi4g8AUAgEAgEAqEwMAAAiALBGLvyWp9NAwCUv9X64r+KDycBAKSkrikKpmPOZg7EoGVTW89tgtE36E0Akj5+9XUBI6J8Ta7H1hW15foiZAKBQCAQxhAsxA+c7BbKnRVGVg9SNBw83BaMYgCEmGF31hH0bQEgAAwak9WJALhox7BX8CPKZjYMfPiG0uqLtKCPUygM2c4KSNFAOGh12KR4S1QYuBiL8QMN3XyZo8LEGkCKR0OHWwPh3l0HMXmkoS1R4qy16Q1aCgBz6VR3QiQPBRAIBAKBQBgdDACAELK+9rL1tYwXCPpX/zrj1d7fmN3+7PTtQ5JR04aax5rI3QkCgUAgjAM40tX8eleuSUIqcqAhcmDYhVJyz6H6PYP/kAp8sD/Q/y/a5dRTAPHgiKcARmTMXUM+7t98yD/yaiEVOXgycjBjQUKyqbWtqTWLPAKBQCAQCIR8YLJfMhrsi7/w0AM+Acd2PPLHRxq4sRVGIBAIBMLoQKyhyogA+LYQP1E/ckt7Lvvij64tYSnDjKozrQuBQCAQCISzjDHeAoCSRZ+4GQDS1jceIlsABAKBQJjgaE1WBwJIRzrTE/bQPWWbdc1nb64802oQCAQCgUA4G0HzDJMqH2w502oQCLBOeuhMq5CFldRXzrQKBAKBQCAQCAQCgTCElm9kvzXw8O1lvT/IU/wEAoFAIBAIBAKBQCCcF5AtAAKBQCAQCkraGNlWFgmQEZZAIBAIBMKEg0xQCAQCgUAoJDhpih5wpeIo+6UEAoFAIBAI48soXgeI2fj6Kb5mFgMAYMoWM83rsE1JUgAAiNs1rWOP9vTFKOr+7EmDBiBp866tjEcoAKDMCf2UbtvcMJtNC+wra3/ZZrjpqMPd+4JmJr52lhc1V94QogBA0MW2l4dOmAQegOU15T7n8m6tFgAQv29q+w7d4KLYBUdL56VR0trzcnWid35GC5qygHVxl9E6Ud/+PAwFyyvVS94p6og7O5+p4Kuby64K0QgAmPjamQF7Q/nyOCqwrLR53bNloZnNaxakBj7I3f7+pLe9oZvX9DhBu/ulmr2RQbLK2j69KqYBSDaXvfqBOS4BAND6dNlk38L5USsDAHTTG5PfH/HVLtOcwSIKhqJTZEMUFAJ7DJCRhbsqW18zmW87anf0vhmNTrw5uyfdWn6zn0mpbURq64VDttCO4liLXpQk2hE1zW+31XJIvjko9Bso7PSud4kAzKxm17Q0AorfN7mrJeBZ7WUV9kUxG311pl/oKLu1h6VA6qhse8OmX32oqFRScqV8LqxODVVITZNa1puG/9XUU3p7h4aWb7Dqqlxg3fvIHABjI4tAIBAIBALhXGU0WwBIjLDY3e5ZGkcCwzUWBzZMFuij7joeALMzG0traeFYdc8Rznl9u1YjMiwAAIgMH6G0C086ihDfbY/sruloby+9zsuqX3dR6W11vqOiaVGTyS3guCHllajB1aKjztUdWrZfaQOHAEBixDjSLGhwlmEpaojvKvO+xlC3t+hVr4fHEwXLK9VL3imjQGouC3VFnSXiMBULKkuTrHHCRx26JE6Zeif8oqbNS2lLYhYaALgZK5tqOPb4e+VHzV3XLU5qNHyvLCnNxqX0xdd2ltJ0rMeya3vZG6nWNcvjGhDLL226hQeQTudiAWg9V/D1P+QQbBlDNGtgFxJVslQ2IpX1wqGi7pfK0pagbXmXRksJ3WaO701Q6IjkddjnEepOeirtne+4uUmtmpjLdwBbbvBlWXhLDJ8EiNmTMS9rQVy9RQJKiNIA/RsfMr2NTC5QqYYqqLKW0ttoAHS6VbIANM/SoNRg1VV5DJANAAKBQCAQCARCPox2SYG0aY0rQQFo3WmpfXrwqFGqC1EASJ/W6BEySECJjCOpGbL8w5Q9oS0VtaURQ6nQsbY00Bgqnqx2NiexqQ4WVbc4ZkcpAIC4vnboBZTIDlegP8Wa1BaJUBTXmTXJVxwxH6UvPUsOAshbHuTrpegUdUpImiIU+9hluaV72KKloLKQWFKThp1mHxcyaQEApLihLSZ5atMsAADWW9J6CRsYoDS8w5EeKku0OFNFWigqTpjixrUnrP7F8RIWWHPaAQCyuQqOUrBlDNGsgV1ARiEr70akThZm45tLUzqf58Y2Xe8WQ1VwcHrG5iC/FkVShEJlAqXjKM4o8troJjee3WCxZfsGnMgKQtrgZuOtrGUqG+8U9cUghBkMfJ+sjK6UzSWpVEMdGk7jAIDMrVK2waqr8kDuk5PbtiU8t7drRznUKAeAqEnsqggeMfM8pt1B6yXtFrcIANjv6X7HnYpRyBI1FlPJk0bJELFd1WwtkhSSAABHHd43yxO9p9UsUdOCVnvvcQPMJrZUBZsMfIICAMoRsi5ps5YIfWpw+uiWilC9QcQS4xBEgDHuVAgEAoFAIBDUULibTQhTNACGvGavVJHPbEOpE0b1K29K0DhE3Onsna6phBEpQPisWf4PRcHyY10vJGovaNfH3MGmsZ3rYlNF1Crpm/x9Pk52mUN0clKRqJxtGIxGAgmdcS/n6JSCBHaOjGcjUicraY52IM2cHl3Wczo5dUSYtklip04IGAVNGtdXhDmfa3Yq++1rgRFFUTcjJjaYeb8tpQka7ViKZTs6IptLrRrjiboqFxyFAMBM8qMpPQdY7UXNxde0mhhr4LW6cAgBAE4Y0vG0/dp6Z5E+1ogt1zTazKbgZocgKSUBANIlTBc3e248UbK62WrXR96rjkYRAACm+XYTr/O5Vp4svrLNiKzBdRWJVK8abPzDyf4GZFjcXHxVm8mBx2Yjh0AgEAgEAmG0FOhgscCmG0pCPqxdmshvbkgJGjPGUa0oAaVy9SHqlzbaP6z2/WtmpNZnme0zFvND5tC8reuf8/p+6/wld7UOux+F48boThevidhdZ3x1mD/ylh+feiF9xD6X79jp4qq8YycFKHO0xuw63qwVSpMM0D0ndcjd6cn9sXhMxXusu45oNBU9zrE6TJ+THhmdkjlEswV2IVGWpQm/ODc8+HLX8Pz5BJuaeuG4XgBRXyRkuW5oc5Bfg0maCzp066o7mnjDnHB0n9F0bY8ml4cR0hoJY9rj1+4uiRykUV0zm3RIERoD9FUhkyvlc6lUYzxRV+XCq6EQADFb8ASjuaTeOSuNAPQlvPivuvA+o+WyGAAAxWvccS2XhhZB64kyk1LBXXpRAko+iaEA2JShrndln9Ca2fip0mSQspj7thyROWqojFIQ1Zm1iVcc8QBlKJVw1BY+RWmXNTmncwCgs7PxBk/hDUEgEAgEAoEwakY7WcOttS0P9/7kdXObXdO4UauUP7q4ddURc8ASO+wOri0O1bQVX+47/YpBOua8rqNvVkrxg186kFo/u7n3lynsWN1qGPJaq4mOguXHt16YndFhOFgVagkaxlAKzdXW8vtOmsMLk05B39AN7iUJXU4rYsP7T03r/WWs7r52WSy3XAVHySlyIaoc2IVFSRZvWtFssfYuqKnUR5MCg9bWaoJNRb0QIMX7+vl2RMgUdN0WBImNvTs1XNMNO6a19IB2zqmi+XGlrUiekSSMtHFziabrhGC/OI1OAPAMHlgQZ3SlfC5KnRrjiaoq4+7ytrWu/kM6xs5/FAEAuFvLb/Qz6tqffABIEZMAnLmk/x0EmoTBATGfQRh8VgH15sWIGrEzlCkJJ8yRLSXRdr3AYUqPJUC6TCeOkDHJAC32PiIQMfLAWYrJ+wkIBAKBQCBMdEa9nihuK1kWoxiRNvFqbuNLDBdDYEzTWfJiAHT6YCVGGA97iAFTjrBlWdg8zdP5SrmvPFIyvX8NQAmsM5HxUVXN4vqiMkjtqvX7Oa01v0PlZx55y493vbRR2yy+Y49DM5arFmytjZj3m5sjXnPC0omTl5QJua0lUotu6CwD/e53PH5TynrG3veo5BT5EFUK7MIjJwvT9oSm/4sAggYgfTqP2mDLr15In6KB4QIMeGQuy9wclPsNJDaVB0MhR4XN3+MtuQn7Xi1NTG0wGWX3GjDPYIQRkrSLGkpnS6wFCzQGgZYw0L3RmMmV2XLlrcZ4oq7KyNntuc2PAaSWyq4DqaKVPSwDwHAq1/+5BECW/IDkRI9MkrSRdXXBRNi+vENvkXDE5lvvVioc95cDABgpnT4hEAgEAoFAmACMdtGGNBzrSLEWVet/AOxzRoNYNznLLS+k4yhguGD/TR1Rk44CZcqwBkT2iM4AQoDJZRZGmVKsI25e3mLkinz79GfXxE3B8uNeL8xO79LFiqKBsbzBTtuitWZNY5Ou+4RR8oTK9Dnmk4zWtN0dWro8wh0q2e8/Uw9aj9IpeQX2KBnPRpSrLH3M6ARuvystc5M1Y3PI0m8kLYGtesPyLjbJUK4EY0podQyfVAwQnpGQBAiQLqVxcggB0BiLdJbHvpVzqVBjPFFXZYZnHUmNI8maJUQLjCOpcSQ1llFsR8oHAGWJMaBJdmj6NOIMiQBQrgQzKBKo6oaqzzXrMr4UdmSSoE35QTOnw1IT0zgT2pJkLoMbZYmxoEm2as6ucYRAIBAIBMJ5yFg9eIqTWj5JCwkKJFoI6DmNyNg4qm9ai6SgIa0FoccW2ekUizvctdkOTxqiJjcObKsKsV16I8UdK4smBdPUJAIASRPfWszbo1oHRwHDNXqiCUlfNujDVBLNB/TUwAyP5lnr0L0DXcS+MNa+uTw6tcFiOYfmbyPqpeiU0aGP2KYInYdOn2EfA1l0uq6O33/EvVNApZfH9afLQsmIJsmxCQEkjg0EtBoNbzNJw2TpKrwXl9Ru+dg2dXXQfOYOWWcMtowhmjWwC4i8rFzbQ+6NSF29qLRpSU/0NXfXWsY2J6QxIDFg5OiAfabiy/MU+g3MJLaWpytbSktEHBVwDyuJkiCIep3i4wZpCtCQ3gNRAMKg9XAmVyrlUqXGWCDXYNVVufBRqhAAppB9iqd7W40fdxksdPpQaYxL2OfF1d+OpzmtFUKHi6PWgNYg4ZheAsj+jhtTyDbF072jzit0mjw8hPRn4atlCAQCgUAgnBeM0RYA4g/XduzpfVubxr92KqCo+7MnDRoAWmDNUnx7XScAZUro5zS75oWyP95Mpc1XN0mbSyMfTAphQKa4eXmzvVQEAMAIaCaxrzIU6/2AU8y0tMFeNeitUaLZv3bq6X9ausrWdA07qMtM6jTvnhzaZTZdMQ6vXx83htVL3ikFQNLM6tEcKuu/zTcmsrC1LmzZ5wpoIgtKBt1PFDVH1tXsjQAAQMzz+suAyto+vSo2XBbFT7o4tPc11672yOUVZ+6pj0zBljlEswV2IZUavaycG5FaWZSns+RGLrjDHd7gkACQMWGcEzr9UrrMeWT7Dam9NNAZdd4apRBAdafpeHn3m0BNbjcqHb9HmKMA4SEiaTxkPZzBld1IPpcqNcYCuQarrspdA3uBVFG3c6HIFOIDArIBgAT9svoiXXlwV3VMwLQr5Li+bVQfVqRT1mtOSZs9ofUOSQKgJNoS12c94IIE/bITbmNZ8HBlzx4AkGh7VGs4h/aUCQQCgUAgnCugeYZJlQ+2nGk1CARYJz10plXIwkrqK2daBQKBQCAQCAQCgUAYQss3KrNe8/DtZb0/zqF73gQCgUAgEAgEAoFAIBDkIVsABAKBQCAQCAQCgUAgnBcwcDYcwCYQJgKkpRAIBAKBQCAQCISJxgx4IPeLySkAAoFAIBAIBAKBQCAQzgvOzi2AdLd9+1Z7QAAAwGnDoa3Fhwr3SXqcMH/8VuW27rPTNAQCgXA+UfAhoCCQQWrcwGn94e3FhydYABAmOCRszmoGd7DjKetc7czP1XoRFDkrvYNSXfaDx4wJDACAk/qjh22dicIFLqfp6NBH+UKVRyAQCIQCQnVunPzov4sCvd+FLfQQoE6NoZzVg5RCvcZWVuxo9aOPTnv00WmPPjrlw84RsxNMn9ow6bEnK49EhlgSJw1HDto6sps3c71wyrTxX9OefNMRlkZZlzMl69whSwDkhEL0Dus3FMNGJthGqcb5GgAF71KGdLAAY+WvkbLO1c78bKuXOsZzaFPHOGvIDPqNKd/hsre2MXPXNM+1nv6cMU4a920uPnhKw1GCe4p3+aKwjcmSxHeWPvemhRsqyrW04cZpgiCfRDZjC4BEdx0t2nXI0hWlgBaKav1LFgddmr5EBVcWnFHJwnTXroo39+uKr6hfXdvXFARv8fNr7YmBa/ShG27vcjNZkjiffetmV4OPxrTgnuRbuijkYAEAcNy29jmPeHHjzXM5CqjODXVvnopfe1dHKau2woKmcY97X70xkETA8MV1/iX9spSdwgetO7e4TnSyAkjWstBFS701ZqxeQ7Vq9Jrd32Q/eMzc3qOVKlrvWBFnR1mgnI4h644trvoOlgdgjamy6d3L5ia1o2j/6oJtrJpDpuiVRa0NleQX1hpqNVRQQ65V5gqvO95Cm6dHrHQ+uQrOBFGj4IxnvYbKMtS231pMiVHbe+utGS7GVDTIYA5C6QLIOl0qzwZjwImalATWQt0UGU9ZeeklM9xMELIEQC4oRG9egX0WBdvEZxy6lLHx11nP0Holm0pf22iJCgAgmd2xyXN8c6q5MVsEjDsya9jT5OvlrAXmkyunac9QDXHc8t5rJafiCAAAibbSyJyF3imOAm4f9jkfJXss+3cVHepgAIYuzyXNkfXlu8OJ+Zf1ODjT7q0lb0rCbcvjWsUkxuW99vpg/+QXRY6XbKwXq4okpJhEGD1SxLZtr946s/sql8j7rDt2F79Dp25fmmRA0ZWF12M0sijfvvJ3jrDDQgILtACpBdd1lveWQokWJksSTlg+fKO4y+27YnVcFzPt3ux5UxDWXBbTIZCSmhRA7KQpNjtgkXT17TQIbIwHUL0FQGFJEKov7LjYhFM9tl17PO+wqTWLUoyyUzjjljdLTjl8l14fM3H6w1uK339HuvVmn51Wq6E6NQCA1x18v2J3ODVlemDpPM5kSjOjLFAOQb/jrZKj2vDCK8NFOhT3G3yMyIym/asLtrFqDpmjV1YLdTZUKrHA1lCpoXyBCq0yR3ivrSXNz6zlzvAOwMRQo+CMZ72GyaK0vF0LEiVkFk3xM69r9MQlh13NqlWuXpQ5eO0nknE2bS/cXHg8ZeWB/HAzQcgSADmgEL35BfbZE2wTn/HoUsbGX2c7w+olpjRRIbVgVXeRpOk+6djzXk3HouZVs9Jnf63l17CDyMfLORWYe64cpz3DNMQSE40j96KWSzySkNQ17y3e9DrLrGmrNeSsURZ6uyFBe2BTUZcrcOWlho0bh9zfEfz2/T1S3cqO+eUiQNwu6F/Y6Wy5KD7ZoJSEWN5V3Hf+Q4rYtzcwRQta5zglAKUkZXi/betmV72XwQzv0A+zL2r5sO4faVpCoqM6cMlSv6dvwouiJ0rf2mqO8gAgWcpCFw/cYk2Yt25wNXu1CR4AiY7qwOIl/hLdCKkS07ip+oOW9NIb26ZZsUKBAJDscO4+aG73auIpSgKgjJErb+moHJMVtiyUzX/DXX6qd3e5Ikl3mt/vNiSkpIVS8lfBGY2sZLPn3YP4opXdTa+XDv475mmR5Z2u9MidM7mkZJu9VUhdstxXYwKA5GWC8V8fO1sWxqYYQEppeEvMnbS0xYNTkpZONlaMNeEkAoPaWyIUP+mSrr7fZWnhlOnjHg0PKUbZKSFzW4qfttBf48QAqcULzCffN/o5n12vVkNVagBQndvL9mHvzbeFhu+PqixQFilu6EhIVZd2zyqTAAA88docLSyDumAbo+YgF71yqLOhAlnrJcUtH64tbdEFVq3u8Wiy51KnoUKBCq0yN6ie40bOEqwZsisvNwSAGDXv/rjoaJuGp4SiOv/iRUG3FgCQf2/5+v3GmCCZS6PFkrGxizZU+K68wu9iAQCkhPHA1qJDzboUxsbi8IVLekZsvWdQ45wYpIbXS/S7X3jFUnFD4xK3BIDC+2te2MOt/FRbOQsAkO5xbN3iaPIxIgCl4T1z2q6Z1zehVCFLgdjR6n993Ft5qe66hstLhrkDde2oevZdbUKSLOXBRct8lcZhZWaQFT9e/dxHAwYVZt54cnERBqCb3p70fih405oeV+8EiTO+91yFb3rzmgXpkGLY5C8L5P2loEaKVvSyHArDjY4r6k4AACAASURBVDIyjQhAycuKGgrsqQNF+06YvDEKAGvt0SUrO2uHu2w46lqlYlLmsFEIttxa5QQNgCzIOAUnzFs/KGr0alIiAMN76vyLFobyOao2zBrq+165Dlaxc8jFUOdLZw4AQIn2omSJJllSES3R1by+091U2zrJcHbVawTya1hFa8irkVOBeaiR27QnYx+FtdaUyyUBpNxWqv1597FuurZGTJyoenYTfeFtTRfYMADgmH3tv4qp5Q3XT8lVWQDo3wJgUgtvawAAvmPYUICS3YYElap1MHteqTti6rrhgpgZ21tD1GQDlk8a1Pwwc2p7UY8pcPP0EfsuCkkjwAnLhjc8rZbQohUxI69r2u8KDL3AUuu9uJJHcdPeLUXvUqnbL++964V17vDFlweNeizFDAc/Lnr/A/7264NmCjCnae/Q6uZ0LisThLB577aid3H69hVDt2REtmFT1ca29OLV7dP6XCJbIACKt9iPtQszFnWVWwUWUam05FJ9S3kUUANTc4mOJIGxpLUUKLqy4A+lqZclRW0bPtJXXN48w25oBhjcDvg4LdECn2B4s8AOXX7IJCEhTQESDf1e0DmTBmzpiVFTDBKfoCVtdJrLfqyddQUNmkl++3F3nENDZapCokOt9qNB7FmUGui1ZJwClD5tBFtrs/YCZ4rFtK9dgy1hhwYAYLQa5qMGTpj3nGDBan/r6eK4KFlLwhcu8dZasOoCFaB0abuG6jhmjhSHLQW4E6Iu2MakOShErwIqbChP9nqJEVN7AsSEqSvh9WhwLrny11Bp4FBolTlVkdMfb6UtM6PD9qoyDgE4Zdr8WlmDNrxwRbeFNxzaVvxGCN2yOmCjUdJriNu8qxYJx98rabL3XH0N2v9+0ccNkeun8xRn2PZ6xQldcNHVPTbQNO4p3vQ2Mq3pLNUoqXGODFIy5s0Mb9j+rrvF6bv02riZQamoJmkU+kOjwLIMde23lVBSxPbuu5mPiGNtfO5lXrOkO7rd9e5bcNPNXtfg7iWTLH1N+23FFAAIAee6DwbmYqJnchJtMLVEvS47BgDeZ+3khUk1aRoUw0aNLJD3l4IaCrmUbKgw3Cgg34hA0cvyGkrsifdrNrWKFXO8lxVzOopKxMCly9ZfqmqVWZMyho1CsOXUKidqACgh7xTMadq7NIa5HZeXiVzQvH+H57UQdet1gVwfZBhuDZV9r0IHq9g55GCo87Qzl4qmh2yHXPXd9KQa8Wyq10hk17DK1pBXI5cC81BDaTGiqOHQUiiJApAwAICuJOKE4lOdzDwbjwA4vykI3PxiMc8Dtdmm4KkYDdqkDtGRGJWSWFHL6YCKpxAAlk86jRi07ToFlSuCjhGCFJJGgKKNzlN8culVXdNMABC3Jy0n9wy+ANuqItXlEkDCEDSvbbAEhHgJAwDA2mK1NgAAKEqZEpaW7aaQEDT3jRnYXBqtKJOgLGGOmF49YQkIsYEHrTGnP/Bu6c5I7LKbuuoGbRkqFgigTU2aEnFPiCNelHd/6Z5I8qIVfWeAc/FXoVApS2KPb3RH6tpWVIho+NEbxHGSQbK894IVQLJVBRYt8Zf33Q+XS8KG4oQB2/YfMRTPTegwHQ3TIoAoAQDi4jSmBM/U5N5d9kOcVLeCS56gIulRWgNFDlU9v00HANqqriunciOGyOFOoczh5ZcY395S/e/2aIVO29iTWrLa76BHqWHeaggBs1cSy+v8M8vTbFp/dIvng7fBcmv/zYf8C1RCG1t6tffDD0qef85eOz04a0bErfrkBQCoDbbCNwel6M2FfGwoT9Z6scXeyxcI3ZrI9EE7zblZIw8N5QuU5FtlTnA91jaOG3GWL+MQgGKNrvpkavH1XTMtGCDuMTL/ftt5wBta7gEAoPQptyfF2aBVnyou5+psRbv9jAR8orHoaCq24sbuah0AJNxWqvN511Fvd2mZJK/GOTJIyZhXBomOc6B1JspKkloE4E4Mv6BwsigNb9OABHJHxHHJXN/McgkgVmJinn/DfrDHf3mpgr9OlwkAgiAO/ruuNFyMShpb2Hl2jgKq57gxbQxPdmAABPJhQ6mSBfL+kldDKRcAACCBo0QMAIAoiWVxb0uWH24Ucik0on7zynhZTkO+27W9FcovO3X1pDzeABVT0yohW1LmsMkabAqtUk7W+AaAApljI5tTsLkkVlYqQWm8xEQ/v965v2dQACiS2Rp5971YoYNV9ldWQ523nTllSJspFI3QEohnUb3UkdEaahtRvigsRrJoOIAQ1zfsdPmp5JIiCQAoY2yyo3h7gyExLWxEVKhFJxrDZaZ859I5mphNLP/EyYsp3sCP2GNTSALKe9ge1keWV4zsUxSSRoKi3SyYg+7s2zHY4BAgzXJ9lkWJNse23bb2AMshUUfTIIlCBhNhg0MAjuFO+wO1bKhooeKXrumsMw7RJLcCzzSY7tpbvm4vNfXqU7NsQ/VT8lehyVNWoql4Zzh6xVWJTA0Q2+e23DkXQKLDndYdG9zr1uHbbvLbKKUkpsi34kLNe7srn9kNAL3zN86kwQCIS1AShbXukCdaWa/vudAs1SPg06hvlqcSbJrcfotbE+4279/lWfsBvnlF2DQwMczoFEzFQ6xojs6qS6XbtZAyHq/X1V6U0KLRaJi3GlycESBdNz1SogWA9KIlhqa3LPVBr6vvpGL+9VJE6/GvvCMUaLUeOeh+bV9R9ZLWy6anR9vbqwvswjUHxejNRv42zIJCvSi+Yk5PRb651GmYqUD5VpkLdPdxE2cJDD+iMkjRQUMAinRqwBws6T9grHHFnMjq9TKSZ+i3pDACAAr1HtygIh1azFPvPT1t8CVMnMIw8M6akWqcG4NUVvMORRtfuDD29tbKpxqSdVNC06dHPNnOcquXlTOsPW5HtoCfkUoHNivzk4X08Rml+IN6c3S238rrj7XS1tlhx8h52ZCwGSDfesn6S1ENRS/zhg+fqTjVO6u3edfc4u+7YSs73CjkUmhEI/eCc6kXinfp0yg1Nae53wDqWuUA2Z2SKWyyMrJV5iRrKGMQAArIeDl3p+g8ERcy5xAAvWSzRs59b84d7DCyGop05mdXvdSR0Rrjp0YO0x45f6HWd6Y82vvTkJizomNq704KJVRPS23bZu1Ihidr2bZOWl8RteX9Uods826dSYQ0mxKB0vJGADGqSYFUpMPKSX3w+qNNtHFKyDVSikKSPLm4hqIw9J+UkML2d9YVJau9yxbGzQyKnCx5/2DmXAjhYeU7Jkeg3rJlo8N+VWDgFEruBZ5JMN2xo3LdYZi16tTFpaePhWT3V+FQIwsz7YdNXBLWPTVo+fHB5KdaWu64LHF6h50SrWWBZZcYW9+3nooGbEOfcRqehMTiC1o/OYeOx2nMStHd1W82pkrMGADxKQrRmGKTi1Y3z6I5C83QFAgcNbotAKC0vMPNO9xxj0Hz3IeOxlhkTm97lnEK1+b+8Aie/4mOWRYMMwOz68tf3FhyoK7xYgeMRsN81aBoDEAnOARaDACUntOBOZY+/dBBvgXmYCnRURVYWhWatqfq1S2ehopT00y5Zx6CusAucHPIMXoz51Vrw0yMiTXy11CpQNlWmQNp/fE2yjpb6ej44CEgFxCFe/v/ATAGMISuvCY4aEDFtGFQxeXVOLsHqcz1wgiQzDENyTGz7Y4a/al664kTnjf2uSsWt6yYmdt2Xg6ulCXfZpqvLCSUzYix660N4cCMoKOFSy2YNHy1MzJs1MlS8pe8Glm8zKQuWtU6QwQAoDScsV91+eEGK+RSh2K9oG/llw+jaZVjF2wjW+WECAAF5LysyinZUbRGPn1vn2rZm/6w5xezGur86syHICW0MQkMFpECGP5SjQlbL3Vkssa4qpF12iPvL/clp5aWiIxWMBmkQb0yNlYHS7aVHG1ha0uNpyJi2TIVN9Ky5MD64oRBsjR66apyEQDF20xRlJpvkwBAIakXwW9p54SaTKcaFJIyqmEp4aDJ1Bb1OfO5RSaEjQFIL1gQqLZgADCGc//SIjbXdF02I/n+W8VvvINWX9P3npJRFDhuoOjx0ncPoRnDJ+tKriw0qmQhseryplsGPiLKGTe94ZYWtFxRlxoZpFg+CjIk0aLRInI9RVuPMZa5ATcLfVsAGgyAtbaUFgAkoCkkpDPO6VSBMACS+vdQZZyCUkEtx3J2fd/NdkNxwgz6cBIVTMOc1ADWmjKArdVHzTCLCECI6BLA12W8oZdbgTkj2SoShj3mQBJB3keYeskh2CSm9ZCjWxOZPTXV/+nBQjeHXKI3gxpQCBsOZiyskU1DdebN0Cqzk+62tvHc3Nocb9P1DhzGjrjPYcEAwPlMfixWFQmDsovV1x6vBgDMDM1lCKDuapnhJpMa58IgldG8lFbQAB2KUNiT+cM9tCFZOzdZO8fbua36ze3u9kmtVTk8yqLkSgpTgNIZPyhNSzSgFK/UUNJe8zAv5xk2AADa0kCdvur4YTPjM6KK9trhvdPIsFEpS9lfcmpk8TIS7Z64fbgoheEGy+fKpRHlVS9sLE5psel4G1NVJ3PPOUMAqGuV2ZNOXzMibHIJtrzUyMiYBIACMl7O7pR++KAxiKVSZ5YA6EXRGvn1vdk72Ez+ymqo86ozHwrlP24LUok57izFTqh6qSOjNc7Agk5+2iPvL6w1px32DFNTZIjNrRbXHbJ2iqaQNrbYpWL62t/0hIQmkkJChJIAJULagCQZrJyOAsYZnOO2bdtQYlsccnCm3bu0+smtlQYAUErqVS/WqU/RqYoMs2qFpIxgU513yt6KnW+XCReGio0Q9uW0dUCbk1ZwHdljs0xLGmkU89MAQvZs/bDO4JXXw/q1xW9vEG5aETZToy1wPOD1e3YamdqOWh0TDPR6F+ssnIHJ6q9CokoW1pjTjoF/cRoWAJvSNqPUW6+D+wzaopRJA6mA+dBuo+TwVvYOhwpJmIoFtZGItrvVcuS4QSzrWX1BigEAjDgB0JBTXphCIKQp1VsAUtx04ARrdnJ6BlJB0+FdRsnhrTb3aSjjFGwoSRh32Ldusy2entRLmubdjiCdnGuTADPqNFSlBjCO0HS7fffHJQcZfwmlO/ixSSrunmLFqgtU0jBm2bZPay9LOIwSTmub9toSbKxsFK8yzhpsfLf7wx0WDkyMp2le/4he6OagGL3yaqizoQKFt0Y2DfMuUK5VZofuPm4UrIGaXE82YlOtb/Le8u3vevD8qIXXH95u5d09c9wSgML0FZvqvNP2V+x5ozJ5QbDCLgLHhtKpadNT/Y94ZFTjHBikMpsXGeJ1Ttixw7OXCnr0KDi4Xpxh13aTvizuNIsUp2n308AK2tzqreBKSpe2sahlv7MBkijB6CrDZf2vC6F0aacWndzrPAEJJsloKsLlfTuVKNppakMiFzIf3Gnp93J2WbKwqVkzuGO7S3eCMP36uD7XZWDesrL4S0YNVV6WH24Uc8k3IpX1Yot9F5aat3xY/a7PP8nDaSmUjg/38sgAUNUqsyYphI1CsCnVewIHgBLZnII697sOpxMmSXdshy1p9c/OFgC9aubdY8t6OXsHm9Ff2Qx1fnXmAAASHfTpNZjxNjl2HWOKF7TVGDMVMEHrJYvcGra3BhmtoayGYoH5q5Fl2qNqkALRMydkftW5cSfS1vWoev18/7e/A3uqXjvWF+WH11cfBu7iNU1zrRgobsZVbfxHxQc+LOcpwT2589rF/e+CUkgCAEBRLwvGiDnD5E4hKTNIG19yQ7thm+vIR+V7MQAj2EuThmyjMm33X3U5vWWP6/0GWgKgGNFcHDPkc7yNsQWvuErz8lsl7x1IXT8vzYy6wLFGiht60pA6WfrayYG/iVOvP7msWMrmr4JSaFmYpxM+6/6DRSkJgOXdVd5rFwZ6v2askASidt/bVcc40VYUn3pp8+y6VN+bzDHiREDUoGNvCCgEIjeKUwAiE223H9yrSUsAGt5T3XPdgr7DbApOYYq8qy6DLXvcbx+nALDeGb14ZXedEUBSq6EqNYBOz13ZJm5273unagdItmrvqqX9r8xVV6A8WAI6ady3yRnnAUAye8JLrvNWjvyKTO5kCzbaEiszWFq0Mc/g9w6OZ3OQV0OdDZUotDWyapi3eeVaZVbS+mPtlHVuJPcvJiJdbOn17bqP3bs/sApIdNX1XLc4YMuWHWnjl9zYat7uOrK79KgAQAvOuu66qSkNpaTGWT9IyZmX4mZe2Z7Y5D6woWIP9NWrdymCRQonjHs3OFISAEhGd2zh1T3FuQzryq7UJBYsCUe2Oje8C7QpPt8dLhvYw2KTFy0Lhjc7Nq130Mb4fHe43AhIw5W4+caDpev2AzB8cV339QuCp72cf9gAAAC2TvOV7ytts/tnF+XcGPOXlS0AMquhLmxkhxtF1DUiJQ0pbsbVTfp9Rfvr3R8eRACgtcbnDPZypgBQ1yoVkrKEDWQOtixM7ABQIptTUNq090NHCiRLuf+qZb6cnuFV0WPLezl7B5vJX1kMdZ515rSOMzOWHW9VAUgmd2z2is65NVxWT06geskiv4YFeWsoqaFYoAo1lKc9KgcpYJzB+aWOjR38nBlJVR+gQ/MMk4784TtqshIIBAKBMD6kT5U/t14zt/9DuOe5GgVnPOs10WQJXSXPvaGfcWvThfZR6TOesgiDUbD8uRps44YUcr70osu2sv6q8vw2pid+VznxNVTHuVovdUx8a4xCQ6pnW82bXcFbbwj0bx/M+NYDWXM9fHtZ748J8fk6AoFAIBAUoDuPGQWrL8+TcueqGgVnPOs1MWRJbP1Oe8KetLFM+35LWh8uH8XjSOMuizAYhYg6V4Nt4jPxu8qJr6E6ztV6qWPiW0ONhlxYH+Ih1en4+AhMvTaU7/GBfsgWAIFAIBAmOCnDsQ5kuyCqdqg7t9QoOONZrwkiS6QTUeOhI46kCFpbdMFV3tF+hno8ZREGo2D5czXYJj4Tv6uc+Bqq41ysl+ArfuFVezxDSvKKT52qVXiStKDWUK+GAmo0pPz7yt6sZyh9cury1oUe1a91R/MMk9TmJRAIBAKBQCAQCAQCYSxAoKUAjXwdAwZehPH7NtsEUWO0kAcBCAQCgUAgEAgEAoEwYcGQnggr7AmiRsE4Kw+KUPb5d/zqh3fO0gEAULb5X/nh974ytWAv86bdKx588pHfXKjPfimBQCAQzihI0l4atF+a5+e7xxpD2nxT0Fza+8H1QmtIiYY1Pe6b0xOrymcKJGmXB+3LJ1gAECY4JGzOagZ3sOMp61ztzM/VehEUOSu3AGjXgk987c5FJQwAAOOYf89nb1peuCeraFPNpYtn10yob/0RCAQCoQ9qkr/8wQ5b75yMErVLoqbJ4vhPNYaoMRRkSpsui+msY6MhkpjJKa0Tj1GVFeo1trLsMc+DLZUPtlQ+2FL+mdTI2tGz/WV/aHMvFYYkUaJ2adQ0Jbt5M9cLSfq7Oip/3WN2F7K+4ynr3CFbAOSCQvQO7zcUwyZzsI1SjfM1AArepQzpYAFgjPw1Uta52pmfbfVSx3gObeoYZw0Hr3Mp47zP/aXzxEvfqhmynKadC773t5c76/fGj6z/8Oc3TtOjrEmmhb/srN8bH/rf5juKaQAAZJp8/R+fectXvzdev3n/P795c4Vm7Ot53kDbL/nM/e9+uDlWvzd+6J2Nv7n9AvNpHyu4svCKjEYWZVny7eci9XvXX2sdyKaf892GwRG17YcL9VmTKMvsOx55+f1I/d744Xc++MXNM/s/7Up7bvmofu/u/6xiAQCMy3+7Mb7v15caQD26yjXfeXDb1p3x+r3xA2+/94tbZhv7dVdyimxzUKmhSjV6L7DMue6Ljz71UtPB3W1/XmQafYGZQcZJq//w1Otd9Xvj9Xu6Nz377JfnZf3KtDLqgm2smkOm6JVXQp0NFYsstDUKW6Di6JAbkmZhkvIb4j1ndnYxQdQoOONZr6GyIgbfb0o6f18UDWa8GCMHT1MSW6zu5Ucy9UISUyKAjmezfvR9gsrKBy1vvK279LctlQ+2lP9Pj22uyvXSWJElAHJBIXrzCuyzKNgmPuPQpYyNv856htbLnHDd19q3xfajLtfKBKPqY/ITFqo86v5VS8kKuW4tby9nKzCfXDrO/Mmusj+0VD7YWvaNgKkk4yJ/qIaUaLynvWJgV/T7PfYFPFXQCO1b7LPuC6779jfv/cpiF0DT0Asqv/S3/7uvetsvv/3gIcul9/3wx28z3Rd8f1sIKyUlDv/fdbc/r+3TVFNz248fuSXyxv6wCIAsi/74zE9XH3v4C3dsaDXN/fKPv/v0o4mLr//7Ea6Q1Tpv0dTc/MC9M+uf/O2dh4LGmTf9/Jvfe5k7Meu+vXFQdGXBGY0sZJj/pYde/ox72BM3tN5iwMd/+KkfrQ9jAMB8qDGVJYl2X/PPp7+7ZP/Dn7tzs6/08vt+9qN3DP65397kl4B1VhcBlF+/rOKxU42aqXcus4C+tNJEQULtqzUFkdF5X//T937UzhfNu/nHX7vvxfixeb88klR0ikJzUKmhKjUAABmmffWhv9xXc/TJZ5/46v81t7afTIyuQFn0c37+xM/uibz2g3t/sivAlM24aH4qlFT9QlNQG2xj1BxkolcOlTZUoODWKHSBCqNDjug44yxJ+MgoCDlnGQsmiBoFZzzrNUyWSAmdFNAg8hmvRsJH7o6TIu5k1bRSuXpJTPQvpWk74rsKN7caT1m5gyTdbd3O2Zrw08XJoKS9NGi/24t/4wl3TphlT5YAyAGF6M0vsM+eYJv4jEeXMjb+OtsZVi9GYpyYe80dbMFMTcKy0lcyxd71VzOvurlNGJA5bbwybL00RQPI1iYfL+dUYO65KNH4mW57nTb8ZHEyLhhWBRxflcRfuJLDZnrDNcSUS0Sn7D0vaiVW1MyN2O/qYoRS7548bpgo07sFoJv8jV/fe8mBp+787vxHflM5OF0/485vzku8cM8PfrkpgmHLYf2c/d/+wnV/2PFMj6SQJMXa9uxp6y2Brb7rlzcV7Xrgy388mgIAfe0VV9o7H/v1Y68c4QCO/tdvVqz58yWzzQ8f8Su3W8o849bf/eyLd85x0snOwz4XQOugVO3KP7wVsllYKXx4/ePf+J8nt4R7lxRM1W0PvPnDS2uMFED85JaX7//BQ6+0cwBAuy//7e+/csPs6hIjBVL48Ponvn3fEx8FRyxEmOJbf/P0k1cc/9ot33qsiVMoEIByX/KZH9195WVzayvsegZA6Hr3zuu/99aYrLBl4Roev3zp4zwvAQBs2p9etPzpi+aWMHsbBCVXFlyNUciiiq+674V7kj+++3c3/fuXQw6pGOy6ZNv+wycOjVgeySRR7mV3rjQc/eb3//5yuwRw+D8MC4795O5Vv9r8dI/EOiuNpzbscl1ztee5J92rlsU2b0NVU5wM9KjdixLan/vpL/p+bzlhuPKyB+fVmNGRJFZ0inxzUKmhKjUAmZZ+74/fQX+9ZOWL9elCFCgP65l/qTv5xnceeOjjOADArm0v5WHlDKgLtrFpDrLRK4c6GyqQtV5MybWPv/izVcFnbrjzjx9HcdZcBTevwuiQG1RlTK9nonuZwV0rmuEr/b1E0SB1GiIvOCKN/dZnBcPKgG1pitEi8ZQh8oo92kwBACoLF90T0Tkw9usSTVh3QZqK6MP/cEZaKQAAWtRdEbRdmtCYAIe08bcdwR0sxtnU0HGmWwLWiziaQkInTQMM9qKchsgRc90b0jslAJB8uvjrjtB+BgMAJepv8dtmc6xVAgCp0xB5yRFpGBlVmL4g4Plsknve49vCYIUCAcCcslwbNUxJs3YJUQASnXisxHd4SJnD68Vyth90GY8Ud7ygxQDIHfH8ICz8vcx7lAIAMKTNtwYtczmaARApodHifdjSN6FUIUsBe8xzf6D3hJS0x93+pG5YFlQbKv4pz1ow9umirzjDh+lhF2SQZY15fhIYOIQobvJ0vKzBANTcnrK7+djvS4Otves0Sf8f7UXl5q5f2Xi3YtjkLwvk/aWgBscrelkOljdMk4SPbZH9GgzAvYz18326UincmW1CKdOIAJS8rKQhwszMiO2quL5KQAA4ziZedPv3ZlNDXatUTMocNgrBllurnKABoIycUyhRf4vPfgHHGDEAEhqNkVdssdZ8PmA21Brq+165Dlaxc8jFUOdLZ95roi5NuoFKN+iTDZTn6yH7XEPPLvrsqtfI8tkrAtZaTfQfTu0n/XJPhY+0hrwaORWYhxrmlGkG5l50hPcxAFrOh3X3BywzxeSOIZ1eRn/hBMO1aiQA7hRLTe2wLU5Tew2SJV78Yz+9rqTzHRYDACWYvtXhEJztfzKK+fQCvWZNHfmflVcv++8nP+gatrqgPfMvLBEOvXTM84O1W1v+drW0ZWMzPfXqOp1i0uDyndd/794F7U987Znm3pUF52towyWrrp5sQgCUZe7SanRq55FYFp1p91WPPfuD29kN3/3K1+766SuH+eFjReNbf/7s5++9/f51/BVff/HHi219O6yif++rP/7W/1tx62dWfvWfx6d9+qn/vaWaBgCgTXWXL6oNPPejW+/+yqd+tl5a8bUXfr7cOSzINOV3PPDE45ce/687/vsfTZxygQBs2WV33L2UfufPP7nzc19Y+dmvfvYX/94THVWPrAqpbzkBALS9poiONzf5RcjVX4VBvSy2/KbHfjnvnW999+GG9LCh3eKxMamkye00DXe+XBJlsBtAinXHeg0i+Q4f6KQqF5RpACijy6EJ73p0h+sTyypmr14Qee2do5yxzFKIN0owlqlX3PX5KemPXz8Q7KuDnFMUmsOoNcxHDarosv9Z48HuO97cvit+dNP+x791a+WIx3PyKVABIVB/OKZfdvtldbqC3AdRF2xj0hzko1cBNTaUJ3u9dJVLV7gp3dRlS4qYHHKNpXlHjA45IWkWpyifMeEdGj4+Q+iJYeA+hQAAIABJREFUop7HHHExaftCQN/7xAyS9Gu6XVeI6bdcPY844lzS/rUeSzEGAGThtHY29NfiQAtnnAvRR4vC/pRtTYKhAJCkvbnbfZWQfquo+89FwYPYeGePfZKURQ1KNHyqx3EhJF91ef9hj3eO+HBQRg0BcFwbe8PZ8ydP10OuSBdn/pzP5OxTnp2SYhMm/8Nu7z/tCSlh+0JAP/z8MGYuCng+k+RfLvZt7Zs3yBYIgGxJ8+IkHLH6H3P3POT2PmGPDp/Ky5g3M1h7o9c+k4o94+7+Q3H3Y47ILq3YH7wFlhU2+H5V0vnbomhA5gJEpd5zeh9xRnp4yxd6rOXDWmAmWVGD71clnb8u6fydKx4bdGmTkZNE/cz+Y5xazjAJi4cMPK8YNqpkgby/FNRQyKWEQPMhYGYmWS0AAFWWYoFJd2Vby8k3IlD0sryGmFng83w+rI0bQk8X9fytyP+aOZl1SamuVWZNyhg2CsGWU6ucqAGghLxTkMROSTMhs+9v7p5/2lJs3PENr7ko97ntcGuo7HsVOljFziEHQ52nnbnUYo51Y+2C9Omz5WdHvUaCuNdK2n/vjBwfvvOrbA15NXIpMA81ECtSAFKkvyIxTToMTPWw5wuyDYgYJKF/1R7VJtqBmZWme/+p4/Ue4A9qpTzXnP2TQIwzZmQc5VYIH/RK1poynZPxaMNtfjCWOTUIRPmkxEBZ2smfuH8Fevurzx3sv8cjtL/2pZ8tfvNHTx9esv6d4LRb5x7+5icfPZRlAshUXXfPdYaDX/vSLx/rkAC2HXGt+sRXB1+QPvHe22s/igPs7px8xaYbV87WffxREgBw7OSmF08CAMCBIy3uq6/9/tJphn81R/tyNW/ZsG5zHDbvOlW9/KNbV87SbdjYd/oZKMvMbzzyu59Wbrzn5p893zqwM6JcIED48PMvvrM9qVydcQEZL/ziz39YeeDH924NYlB0ZaLQGxVqZTHln3vgmzWvff2uTSHRPDzNbEl2M1c9++5qBMnj7z/xnfsefc8rKiYJnTt3dlJrvvXp+dv+vtdLWaprnVpg9AwCoG0lFpr3b/n3nu9/+857LfEXvnqq6FZjjXWUWwBM7d1PH/zBVAAIvv/TT/67dfj5oeFOUWgOo9EwbzWMU1dcxATXv/HIXzc3xcyzP/+THz75BG5a9cc9KZUFKoDDW77+hb/8408/P7D5ky898+xfnn53u3c0TwGpC7YxaA5K0ZsD+dhQQYms9Yrt+d+7H/Auiqx/uJnPIVdO/bwKNSDT6JALOs40XRI2Goad5cM9hsQBnQSQDvOGb8UNpTjZgMAety4QuVeKAxsZDJBqpOkf9lhWcNFntQAAAs2f0qb1LMyguUY9b2dtqziaAcGYsF8iJR/3BA9QAJBuZqnJHdYlXKheJ8mrgRwJ6ywp/bwrsIUBgFSXZJgfzq4hAKTZ5N7eJzI1XEA0zArpi6Wov38d5dclj+gk0KUCgv7bcWMpTtb3zw+QpLnC61otJJ/2BHYPum+gWCAAze02JZplJhky5s0MwrRNgrgmdUKXjgMAjBjICydLooRuCmgQZS7GJy3hTToJINnA0D/sNl2Rjjyp5K/TZQIAi6XB224xXawJnBckmfUsLwJVFdcb6NhOFgMgkA8bTpUskPeXvBpKuXrRSFTvUIEBp6i+6Z3ExJ616+4Neu5LJY5QmgvS3IvF4Y5B3smYS74R9YecjJflNNSmrTcm0VFn56NGMfczVzY1rRKyJWUOm6zBptAq5WSNcwAokNHL2ZyCg7rUMZ0EulQDQ/3Qa72Siz2nzWmgymiN/PterNDBKvsrq6HO285cpPgAQg6BpkA6i+qVkayxmNEaCmqom4XJ5MIRXSoMphVRbbMlHQXKydMMoGEvYlD2l0bUXhi2lkP6BY2EATCd3KWx3xjXmk1CGFBxUsvQ8RN5bVgAnN4CyEJ815evvPZ+vrvLeEMeSWC4+LNrJvne/NJG/+k+hTKU15Rp295/6I1j9iWTkWPRZ26e/dLvdwaUhgJt9YXl0P7sdl/W8YLvPO4Fi8fGAiQBgClZ9rnffOOWFdOKLVLUm7ICE9Nl6CL5zmNeMLmspx2iXfW7v6/iP/7C1fc/3zVYaI4FnmkoyyVfeei1Lxv/+cV7/tI4dH2l5K9Ck58sqmTld35Ss+Gz/29fJEMYc0f/fs/kvwPQ5kmLb/nF776x9h/Chbc8doxXSkoc/Oun/1j1zDcfa/w6AACIANDaEhEBaIvbSAvpwP5Xt1Q8fJf3wZ+2pj4lUmarjoLIKA6CC60v/9eifaWTL1j57W/9aOP/8ovufaN1YLTP6BTZ5jAaDfNVgzKXuPXQ9MJz72wKAcCJ795/4U1PrLpryv/tOZBWWS8lpMCuR29a/sLMy2/44j3f/ODLX1n7oy9//rnGRPaMiqgL7II1B+XozZo7XxtmQ6FefNe6R/64Lt9chTdvptEhO1RNTKdTOjqOw6wIEq3HAIhypVlgog3942JSk+wAY0WaprWnZQ4UJPau8AAVpRhK0vxH25Bn4tIiQqcvHqkGcqYZYKLN2R/SG6whACBrynxTyDSVZ/QgRREFOJ3pFU04MiQXAKCZfvdMSD1T6t89RGiOBWYkq3mH6kQl19qTXwoW/zye3mOMf2yON9GZbyaMXlbupNlkJ5hKOYrWDay18pMl0amPdfgzcb3TzHux9pIk1WOOdwydj44ImwHyrZesvxTVUPSypPtMu3tWr3w29EtPpP/1V5RdYGgmsdHAGVIsknSL4tp9tlRcKZdCIxIUjyvJaYjsaY0B0tv0eaz/1bbKAbI7JVPYZGVkq8xJ1lDGIAAUyOzlPJwS1ybawFCZPQB6UbJGXn1vzh3sMLIainTmZ1e91JHRGuOnBqcJP25l7w4X//T0XpIQGPrUhoy/0HRv+YO9P+nUB0X+bb3LdiTsN3E3BkxTxfgOipmWomL6RHfeJ2uzbAEIgbYwWEtcGsyFOtsBtOXlTojv8nNYKakf06x7rrG3v/Ty3tN3xZF16Xce/5T4y6u+9+dTAjzx5J9ufnD3A/d//fVb7j+mNPHFGANQubwJURREQBSNAAA0NZ986R/3ut/93y//eltTUlu7+qfP3JM5lyRJAGiQO6SDL79N3XLdH37zqSNffmpfvK9OuRd4JqFsl333kbWfkR76j7t/tCXU30fn4K+CoUoWZb/8s8usLnh11+rTf/zThtbLPz/tv3efPjgnRhs2P/nlHy++5s/XrS5/4ljToP2ykUlSZOv/fbnuUWuZx0IlktXf+Nfbqw591MYBGI1OA+YEMb73u3fc9ef0qUauOCUgg1VLA4zmWXA+3HZwb9vBvbs2e8vr/3D3bRXr/tgsAMg5RaE50KPRME81sMCJAKZiEw0hEQA4b4sPrqiwMgO39fIsMAfE8OH3nvra+y89/pXHP/rx/e9tvPsfHeoMry6wC90ccozezHnV2jADBbfGmJk3w+iQHSRpFycpr0Xp6DhGMLQzzwJGeGjkIQAEdOwfRdHB7w3m6NOP2GVUA/dnzkHiaQ1p3vyFHpvZEPqXPeVHyJVw3h1RyDWk/HZjnIoZb/NbOl2Rtv4K517gSOTMiwHJzBRwh9n7U4N2Tty4IGb/WsR2xN79uJnPZRMrF1eqZfCyUJ0s8bg5lfaaLhSiH/HmmRL3upEf1jBHhI1KWYr+klUji5cp7k13z6beZ1opIdSviT5p/3QUv1Pq38BgMEc/jLu+73dcbuh8o/ehdJlc6lDQsDeS8+xpVbbKrEmDr0J5a5WhVU6IAFBAxsv5OAXj3Do6yGaNfPpeKvcOdjBZDXW+deaDoSXWjiHMiNKID8RP2HqpI6M1xlcNqcnac7+FsooUQtgV9tybSJ8cdNNewV/N9u7ndRJHiQFaGtxewvroSeRckmT26nSzBemoIaeRdyhZJkpi157dnczMW+dYEAAAU7FsebV4/N2TKcWkPozTVq2w+N56q2nQMU+6aMokS7LtsL935SZ07d3VCs7JTuWdl1TjtmYoX3ZlWX4bNLqaxbOg4X8feGrtzqMHDu3ffFjuKcKR8C3rfn3FLb/dNvOb7z36uXn9X5IbRYHjBlO15jcvfI7+6z3/ed+Q5UR2fxUOVbKk0JvfWrNw9Sf6/rvzD/sADj5wz5W/PzLy/jDV/5KSkcWMTMJcuK2lPVTxid9+wnnyX0/tiAMAbbZppbSIQQg0Hj3QnpCwlBaRzlKwIx1YwhgQ07drJecUheZQGA1zUwNHGw93QdU1s629j/4Zq6aXQs/B7gzvQc2twNz1SxzduLuLKp3pUr33mkOwMcXXfP4b998+a9CnBwvdHHKJ3gxqQAFsOISCW2OszJtpdMiOPm2ahoVdhlzuPgGA5NPyIOgm9X/rWM/pS0FqPf28OgBIB9yt33el0oNz6XgQtaVI6GL5gf8Gb9hnUkPy6XgQ9NPy/MoaK+hKgd9gix7Qcu2a9Ek29xDAQUPwQU+wkbN93WsZePR9FAVmNq9ICQmgigXZHXiBTu+xBP5W2v6QGc8I2afktpWn5EoEIiB9pg9KY4QFQEbFb00bOH3ZUC/nGTYAAHFdZDfNLI4aFkZ0WB/ZM3wLZGTYqJSl7C85NbJ5WerUpk7oUid0qXrNwBMKyMSzeiR09i2mcESbDgDtlpBirlwaUV71wiENlwDtohQtO5ZlCAB1rTJ70gAjwyaXYBvJxAgABTJ6OQen9KPl9aUgdWhyOiuhaI28+t7sHWxGf2U11HnVmQ8FlcVMHpTame0B8glVL3VktMb4q4GRFGKEpGC6OUb7TKdfqiqnYW+mJMN3sLxv6PofACQ6+b5eqooaJyWNHiq5XaPiLlpfh4L07qpaO2uqtLCgK6mdPIuNdTa1+nn4/+ydd5wTxfvHny1JNj255HKFo5zSpIiAPwSkKFgAUQEFwY7oV6WDBQtVLKAIqNhBAQG/XxBUUBRRpINSTkCOdnBwhSvpPdn6++Pu4Eqym+zlzoD7fvEHMJmZzzzPM7M7s7M7wdyvF/81fP6C10/PXfe3ts/051qVfzf2RysLwJcEAACypt07m8K5W85Vv8ejL/6xv+jFUQteuf/51Tll8hb3TnqibfivBXn8T4KYwh8/WjV+ydyV76gXfbevDFq1M9Q8ESAy4cLDefDs0+OHn117rCQsa3qdAcAes2k434k1o0aya9dP+/FdW88Jmy7Q9SywUVB3nv58t+DmV9c7LO3aWAAAgLIXXCgJckL+SiSi6mLchXmX98jomnoBsOKzp0qDHACi6Tjx6Rudx04V+BBz677jptwkO/XRj8UU8CYBqmzautW1za7tfsvgZ4Z3Uex59/YlJwMAgMr1SpS2V9tBwDEUg6j0hOizNvC0PlOGZ17IvVAWQs0tb352ajfZySWbiigAHqdE7w5oijiFomRwwZPffHZ65Mw5MycGl+2i2k+a0wc/NG/1OVJ0gTwKZU0GzXu2xYldh46XBlBjqyHjh6b7d/9e5/MCsSMYbJquk5ZPG6iDvsEDI94+R8WYK074opdHhjgb8pBwazSMeSNeHQRBs32EHPfE/uFrp9r9pyd1iDUF0QfsrKKPS62Uu36TCzzEcqpce92WAWUWrd6XK2OAxdNYcq+GrNIaWYZT5f7TnXp3uVlu8OVjYCFrfUQ6MjQetoK+l1tj1YTdCGKk0Lj2IYXl3i/S4MlS41gbs8DsdyD1KTByu1gsdFgO9zhT7gTfOQzSq7ULYYlBLsJLhIpwlmVlbUgUECYQ020znysZlCxHkHYe3Y0Q5hjMp/Sdqhr1WIwsQpGubv1NECIZLKT0n6h8kIKkhIi2wCop1a0uNVHpZeG6ooKQOzVUT7fpbmD2pAUFNvLE1q6ICPgrigxRXubcRMjl0g5zaTZowh5O1smtS0fCv8oEMkbvRCLbFVa4NxOq+23pT+k8BxWUHxB1TS9HDABxvVIoiSdseIKNh2QOAD6EnIJc69H3YUJOkPdwaTS4Z5siluriH7Gje1lwgI3oLyFD/bsG84qkdFIeBLxZQHeXD8s3WP8SuutNpnZFRcbIzCwoaBQDRE/JMjnWjdP+qhegIlqDXwZvgSJkIEZSnkrLskPq3j4FRjg/0JPVHtqLukgBm6fzOUp1D7mQgNoZzyEdl6hcAlBcP2HZtpEpFf8Y+8masZA/444RC/NpoAs+eXac9o2XJy96X0PbD2yYM+j1qhOheZIAAOTNrk+H0p/P15zdB44tuecFZOGEyZuGqwGostzfZ46Zt7ZMwP2sa8/E+6denDHu6TcXvYQChGwn9x4pFeqS4bwVI6boF098evUQvQyADjjzD+2M9GgzKsG8tY88k/3Hyjlf/+dk/4/OBOtdYEMjz+j8fwYwDX5j++X9yK4VIweNPRQU8ldCSXRdqNKYfv3dU8dMNMsA/Bf/2PreXfO/OkEKJIGi9bQvl4/WOk4d/XP5iw+/v/G4o2KFDSH0CoSlqh+ewZAMqqzHLgBUmZLdc+TEcc1TcOC8Rfu2LBzwzpqKt1t4nBK1O2AiFYqTAeTZhWMmKedOnfb5yjfAf+qXJXfPWFfxjoXIAnkUYlzY3OuF+U9mqREAf/6BzZMeWbS57nmcsSMUbKGCPdusAwY6d+210rHnSjgRZYizIR8Jt0aDmDfy1YEfhFX0CCHl8Wwd59DgujRbwGEYZFPLgSlUOz8wegXfl+PQ0Pr0crvL0NtlupkDQJgilfNQ1WQjmgwODa5Ns7qdht721DsBAGFKibBHqC5a5llqRoe79KP9KAbAIqxdERLMVR1K5l2RKnux3PSEl3xPR1FiC4xqXoTeabbpHYb+9tQBAFy1diEcgjLKO206NQAA55IHvk915tenrgrQ8MYUv9mpe9gKFB7aovBf/sAyEt6c4k1zaEdZtTQW+lnhP4EBh9J5Crqzx/yMBwBh8tWOxQbfJS+LCBsAAODKNO4THvN1Ms/vQtPdWNsVCaEAiCxDXNiQctfHJrjfbXjWhwJwHnnwh1SH4BHT4joRn0KE3pNa6nPrb/MbHvEgABDAQ9vk1bwcKQDE9UqeJP6wAYgcbPwkeQDwShdwCscQd9q1auBshGepyV1U/24eCR4vCw+wkfzFb6h/22BOo7QdUd1Tng7AOuSh382231S04AwmedoVHaSJ2zLZV9k/+1jT+wC1KbP0N5wDHmvwyeArUIwMTn6HNa0Hy5TJw/tMpdvVZPUTzMVepICSe38mtA+G6G0aMo5jlarVfIOqpZh8EhISEhISjYY6mDrbim/NKP1F1pBLNVeIjITTmO1KtrrkYdPsMsWujJKf6qenMeuSqA6P5a/WYGs0MEo3rURfbileSsS3Up/8Q2XyKxTH1doucSS/NeqhEGnuzJgQ9s5L89riWD747IEmFX9JxDnoEhISEhISDQl6rY+Qydxx7pS7WmUknMZsV3LUxeHdXFqtLFyGom09KhXmP1lfPY1Zl0R1eCLqag225Cf5h8rkVyiOq7Vd4kh+a4hRSFDyNA7RhLXDfbDP4reL3EMhLQFISEhISCQ3CEv0CCFl+mA8S91XrYyE05jtSpK6EA7VMURfn1bLQUAW2Gh2xXUM9T9bl0R1+Cx/lQZb8pP8Q2XyKxTHVdkuGWmcXqrVR0gJr8wqOxz9/djEWkO0DB5EKUSbelLH+TEWC+9LKd8o9EFHnsqlFwEkJCQkJCQkJCQkJCQkkguEw9IoLNLBUaxNTov9ctKVKqPeSC8CSEhISEhISEhISEhISCQrHMKUyhv80L4rRUbiSNQx6I0Kauwy8q3pozoQAACoocv46S+Nb6NIVOmYpf/ilZ/P76pMVIESEhISEg0Ewir6Oo19qeTa9agKa4c4tZkcQAMoRBnV8HLL0HByNfmfAmEVfZzGPkkWABJJjhQ2VzTVB9jGrOtqHcyv1nZJ8HJFLgFg5m4jJo7qnoEDAOApXcY8NqSPJWH7GTBNdt8eHbNVV6RpJCQkJK520Jb2rMUXDRX3ZCijuNmracU0/q1GDRk1QTRhzS0+Qt8wChEWbxVSmLgGajJPuxq2LqMvfXFBs8UFzRYXZD0aqts6rKO9ycIiSy+6RhLKKHp5Na2FzRu5XQirfPBis3nlWksi29uYdV09CAVALPBEb+1xgzdsIgdbPWX8WwMg4UNKjQEWABrIX3XruloH8yutXeJozEubOBpZYfV5Lqq+4fEPS06vn5pdYzqNmbq99MmGkjM5/tytv79+b1slIpikuenNkjM5/pp/do9MwwAAUF3HkZ9v+M1zJsd/fMu2N4a2VyVViFzhYMaej8765ffdvjM5/r+37Jj/QGftZR/zuDLxQupTF6q7+bmvPWdytg7SX8qmvH5aXvWI2j/9JqVgUtRgw9KH7TqTc+g/zWUAAOo+7+zw/zWvr6oeDSaaDX9x8f59B/xncvxHf/r1jWEd1VXa+ZyCaFrdvWj1ZtuZHP+Z3Ue+nDK0qbxeCkXKqPiB7vq7nl761fr8Y4eKPuiuqX+BkUHULQcv/GpT6Zkc/5nDZTvXrBl7g6F+C27igq2hukOk6I0uQpwNeYtMtDUSWyDv1SE2WPlNQdSu8pf/s5eOJJGRcBqzXTXr8qhs8zNK3k31OiP+mENSKAxlZWnxnU0Wua5LICyeQQNBydSiSv3n64oHBaW+vyzznYJmiwuyXi03dBI5X2ooBAIgFniiN67AvoKCLflphCGlYfx1xVOzXdqAeUZh5RLbzFLzgAAe6bX2Kxc0y2t5qyCjf7RhLW4vCxUYTy6C1D5U2mRhQbPFhU0mOzQZESf5NRWijHpMcdNLq6Ivlxu7UWhCI7Rysi+zdL7ruSnjxvcwA+TX/EGzZz75aEaL/W8+t/hvXd8Z02f/hJd1fnm/i+NLChz/6K4H1ioqlcqz75/9+TDPD0fcDABmufPLVdNuPvLZ46N22zJvnTF35haVvdNzO+3i+q1ETeTZQ98e1/7MyndG/e1Utx/y+pSXNpCnO8zI8QOvKxNOfepCVF2eWbLhUUutF24wpU7FnZr+8Mytbg4AOMp1LiSQxBNsMlOLVICsu3s3XXbhnLzNqN46UGY206AQEBuINIMT1k3vvTSzmEq9YejsiTO+8Z+84c3cIK9TEF33RatfG3zys6dGbi/UdBo7e9qqpYH/u/vTXFKsQlEyAABRtZ2w5MMZ2SdWrlkx4aPzhcVnA/UrMCrK619fMXeMZ+Mr4+YcdOBN2t3YJeQK1qf7iwu2BuoOUaI3GiJtyEPCrZHoAnmuDjFCkOoOLL1LTdMxZ2kIkkRGwmnMdtWqi0HpEhQwYKiIv0boXZaLZxmuRNTxztHaxeLeDzPDRoQqTdy9VWPWFTsIS9xfZuood69KCzpZRV+ncbSVm5/uLkmaaY9AAMQAT/TGF9hXTrAlP40xpDSMv650arULZ3ETR260OAs4PDugG2DLaG0s/VhLie5uSQOiDatvc+v7hjCAqK2Jx8sxFRh7LpRRP1pmvFbhXpkW9NOqgY6UCSzzhjlY606vtkIONTPIBWP5NwpWxsg7eYwPluJ0pvVwHA9M+KlYAiBaTZ43rufRr0ZN6/L5/GbV05XtRk25IbBuzCtv7vRwsPe48vojzz1118I/V5ezPEmsr+jw4aKKEmQtHnxzSOrBt8cuOhECQC29Rw1QnZjy8qcbilmA40+oup2cM3rgW7tXlfNPAlBtu/sWzH161PUmLFhy3GYGKKyWqhiwcLPLoJOx7uNbl09+deVed0VpePP73/5xet9sNQrgP7t3w6xXlnxbTAIAZrn1nXfH39OxRYYaBdZ9fOuK52as2OWsowFPu2/+qpX9Tk0cNnVZPslTIABq6fnozNG33dLpmqZGJQ5Al/4y6u6XNjfIDDsqZN7yW3stpygWAGDnkXD3Pqtu7JSB5+TRfK5MuIx61IWm3T5j3Zjg7NELhvzvzRqbVFRGIlh05Pjpv+tMj6Ik8QWbzNRMfWH7QfOdd6R/vdIysLdv936keWsTDuWkyDbTxV+/9kbl3/eeVt12y+IbsrVIbpDjdco1/W4zliybt+zbXBLgxPPz+w//oGdH7We5dk6kQlEyANH0emnRi8jHPQd8cyaciAKjI0vv0tcS/OHFt5fs8QMAHNy/Pg4rR0BcsDVMd4gavdEQZ0MeBNuFZwxa/s3cgc7V94xatMfLCeZKuHmjXx1iBG3mUypxb06NQ3SRdrbMd1kUA7ZE5VmX4jlXZX0ZrRrgMPQK4QqEuaDyfGv0nkcBAGniTh3jIVI4zk4E8jmicxj1KN1fmDyFKAAAxhD9nIa+AbkGOJfC/1OK808ZxwnJIEjNMIf+RhJDEboEwwCqezGaQiTFZx7nUppYAGBthH9TiqvifGCUUQ6zGzqSMj0LAGyJyrM+xZNXN6o4rLMj/bEguTbdthfneAoEAG1IN8irah2WGVkEBWCxwLIM2/EaZdZul4w0vFKqzk27uE7BASAWT/orbvrTJtYTKACAKqy9z6nrRGI4AIPS53TWz3SVN5Qi6uLB6Euf5ajYIcUethSvJGplQa5xpb1GyXQcZyO835rcx7FaP4hQl96XPqeyTABgdqZf3CDnANBO5U1GU753M52FFfM0VvlEcWqWtvQtA2XhDZv464Lo/uKRQVK8Xo6GjFK1Zek9Bs8ROQdAbuCUXWxEJusuEbqhjNKJAPi8zKcQ4fD2HsPtfmVzGgHg/LLANxZ7jpAMcb2SNyly2PAEW2y9MkkDgJ9oTkEZ5TCbsTOJqzkAhD6n9nxr8BXGsVmtljXEj73RBljewSEWQ/1bBvMKE5XKw3loOE8ZzEPTJ7mMnVTlB7Erq111y5f1c+ivkXu/MCkeskd7K7yuNaLLiKnAOGRoQ5p2HPlNivsvHEBB2jhilkPXngn+WWPQi+gvLoCThXIWgLwgQ9tcNPQIozkqVudPm23Hfs4o2SLjAAClNVMvptCm4vfUTDyjQIVZQ7mvDrij9wsrt5XWml1g6V26ZtB/rz/d7JAyAAAgAElEQVSZ/sr3+wo+uYPdu+M81uaOawnepOrlm+5+aVy34hUTV58PAwCgKqMKWF+Zr+L2kbUdP1qCNuvWRA68YJbbl6155QHZ9mnjJz742rfHqdrXinObP3jsyXEPzPqZ6jfpm9k9DJUrrIw957vZU5/tf9+jAyZ8eartI1+9P6wFBgCAaa69tfs1jq9n3jd6/MNzt7L9J657vY+pVpDJs0a+vWJ531PPj3zhi3ySv0AAWZNbRo7uhW35YM6ox58a8NiEx97432FvvUZkUbCV0wkAwIzZqZj/fL6dgVj9lRjE1yXLGrLszRu2TJ32WV641qVdl27AQ0GNxaSp7fxoSTzBhqrNKXL3waV/mkf0btpxcDfPxi0nSHUTXSK+KIHr2vR78MnW4T2bjjor2xDNKUDa8oq4jIF3tNIgAKiuU68WyIUDuT4uAQrjkYGm3vLq8HTOMvLHPw76T+w8snzqfc3qdMl4CuSBdpw57lP2fuCWa4mEPAcRF2wN0h2iRy8PYmwYHeF2Ec169begRJveN6fiMeRqSPPWvjrEBivvEUJt6oC1ZvjYVK4VqeXLUvxM0PCUQ1nxxgzCKoeXmfsx4c3m8s9T/GTQOLFcl8YBAKIjFUaZ6+M0RwGp7gTepalue8gwPICjAAirGFpmuZ0Ob04t+yDVeYxTjyo3tmQFZKCM6uHylK4Q/M5s/cLoL0Fqh3dEhQCcX+H7wVT+XnrpErOnlNQ+btOYKsXLWodkAY39M4v1S2OADRiecihr7x/m8Bsd6Y8GqQ1ptn2V9w1RCwRADEFtjyDk6u3LLOVLLNYVRm/tW/ko5o0Mp7jXamyP+lZbyhamlS1L8RxUMFXBm+C63CrbWxkl76R6HVF+gKChX03Wz02eckr3VLk+q1YPjFSXV2V7K6NkXkbJArPfV+2n+WqSZZTtq7ZxKkhVS475W0VRvGEjqi6I7i8eGTy5+KAxygV4+6BMAQCANgnJAA+XCs3lonci4PVydIUc3s2W/qRb4Ve5VqWWf5Jq36gNCk4pxfVKwaSIYcMTbDH1ymQNAD6iOwVhZa3DuEtr+8RS/qUhJPOnTLZqU2O/t61tDZFjL88Ayzs4xGCof+lgzhZofWWcolv48t7yK6NddUHIjRnF75o8p2qv/PJbI7qMWAqMQwYiY1AA1lPVEJ887Aa8Ra33C4QuiBywdNWs3asIFAPeIYxV/JOglOlAHVOwcc45q24COS5iRjwlSw/uY1ZWn92EMOHpCneRHdRNTHIEmOhJgUtlKVqNmNUf+WnC18cqn/HQJQcOlKDDpz7SZf+nOVZU1+IakwJwJc5/C4A3v2vMXapjE595c9lFFmB/rnngiAnVfxA+/etP3+/yAxwqadVv570DOhJ7dgUBgPOd3fnNWQAAOJpbYLlj0Mu92qr+e95bmev83u0/7/bD7oMXWvTZdd+ADsT2HZW7nwHVtZ/8+YLXmu0YM3Tu2sJLKyP8BQK4j6/9ZssfyXA6JKLu+vTr05sdnT1un5MDXlcGEr1QIbYuPOvxt6dkb5z04E4Xo62dptUFy/Db1/wyGIHgqd9WvDhj6a9WhjeJJ9gwQ4YOo+x7/3f45edGjdP51024kHqfOltfzyUA/JrRq4690gYAnL+99tD/CmvvH6rtFKCLNz4zt8ePM1cdv3nrFmfb+zodn/LQ0r/DUD+FcctQt+l/I+7c+sPnH+/O92k7Pjln+soVXP7ARYdDIgvkgXPvnfTUh1+89/rR3Q+tX73mw1W//GEVu/MCQGywNUB34IveGIjHhjwiBNvlO/z+6Let3T1bPztPxZArpnFehAyIcHWICYLUXMfSO1S19vJx5arAUYIFCLsp1VS/KpML5iFg9Ou7MeS3aY4dOAcQOodh08t1/UnvGgUAAI1RFxRhpQzaYeQ5JWWUGQaSGA60OmDsyQaXpzuPogAQPi9DW13U30y6zhBsdBlISkDfgQ2vNTv24gAQKmVVXdzCCgEgLAvmVLyRKScdjKqDS5nGeu1V8yg7EcwlWCBCDlr5nF+dyQXPVF0tEVbez2oeTAdXpTsOVXtuwFsgAEYe0gTOR7nkRjFvZBAOM7Dgl4dOE2E/AECdlZzE1cWidBkKGDBRfsyd1bl3EixAMA/Hppdp+oU9K/n8dblMAJBxbPVlNx/hywdT5yC+VUYxgDb3K1WY74CMA0AgetiQouqC6P6KLoMvVwVyFq24VHDAhdDK2zsW960xEuOc6TNCgVxU3jlMfpPmvljNOxFzRe9EVSEXxcvRFCrC+nuDyAlTyVI1E/ueK4OYXglCSZHDRjDYeHpltLoaOQB4iOhlIadwTiJ0kmCBCOXh6HSr/jbS97UipgtVRGvEP/ZyPAMsv78EDfWvHcwZlHIgSAqNocBeQe2KiGAsRrQGjwxxd2FRcnEeIuQGTX+v4rwu7AXURGE4ILU+xMDvLzmj6OrWZ0F4nZzlADgseFBuvNev0GpoNyBpQQWO+U/HtWABcHkJQAD/wbG3DZpFlZWq74kjCVT/99jwlrYfn9lx+U3/wLGPH1nUfPWUZecmAQAAAwCFBR7+x16KFl2zoHjNHzbB6wVVcsoKunSDDCAIAHhG78fnTx7Wv22ajvVaQ3rAfUSEIZIqOWkFjVl/2SGKgQs+HUjteeqOWWtLq1caY4H/NKiu5/glG8eqv3x6zIfnas6v+PyVaOKrC80Y8OKc7O2PPfuXJ0IYkyc+HdPqUwBM27LHsDcWTP7+C7rrsGUnKb6k6MGG6SxqjA47jny3t+lnD1oXv1YYephBtXoCBU89NoLThRue7/5XZqvOA56bOnPH+1T3cT8UXgrtiE5BVVnZTRRFvy354aTx5lZISvdHh3Zc/+4BB1sfhfHKQLUZFiXkr/t6y04XAJyeNqvrkBUDH2z90eGjYZHt4oN1HFw6pM+69rfe8/SYKdvGjv9+5tgnvz4XEM7Ii7jATlh34I9ewdzx2lAInnZRpT9/vujneHMl3rwRrg4xgGb7CIJv6zjnljHAYkoOAEHNYRng3ryq62JQHrwI6qZhDFNcrvNSQUzFDA+Q1BCOsvInimq8ExdmEOTyj+vKQExhHHDveeGX9KorBABEH9IOcWnaULgSWC+CAheO9IkmzlMjFwAg7e2W9hBanWk/VKPSGAuMiKB5a2pCg98bg8840173hw+r/Xu0/nws8sOE+tcVO2FZsAQ0mSSKEZfmWvHVxWKhPQT3qF9p0lJWTtEziJZr/Rdr3o/WCZtLxNuuqP7ilcHrZZZ4tNjSoaJ+mevNdE/V569QI41jeGCHilSFZAhLdPcr/jKE/Hy5eDoRzXvfFk0hYgzLVRDer4xj/i+2V15C2CmRwkaQur0yprpq0gABwENkL8fhFL8iUASqZsIBUAGfNeIae2MeYGshaChpML+y2iWOiNZoPBmk3L1cLxvtTnvt8loS7aj51kYUfyHXWbMWV/wVC21Lte+vmLYj9BENea9D04bx/4nibUOoTxkoi3tnrcASAO0ocoM+wyznSFdJMYAiK8sE/oN2kuNLqkLTYcydxuL1G3KqPxVnPfs+GnvtUn2TdB0aCLaY/N+fBv69q0jgrpfjOAA0li8hMjQDCIohAADy7IfWfzHO8sv7Y+ftzw8qrhn82uoxkXOxLAuAVHMHe2zDT+iwuxbOfzh37Fd/+SvbFHuB/ySo4ZZpn3//KLvkidEz97qqxugY/JUwRNWFGm99rLfeDN8dHHz5P9/bXnjrk21fOHR54xzjzdu9cuzsHnd+cNfgrBUn86utl9VNihpsarVJxZE048+ZNvLBD8IXzpFpIRpR6RUYQH3eBafcRcdyio7lHNxtzTqzcPT9TX9edJ4GiOYURN/rxeUPM2/e/tIHF2hYsfK9oYsPvT1r0qZhs05i9VEYpwyOJhkATZoGAxcDAKS1wAb9murxS4/14iwwBhj38V+/mvjb+uXjl++aPevXHaO/uCjO8OICO9HdIcbojZxXrA0jkHBrNJh5I14dhEBYRY8gatXxbR3nEKg5mAvAIVzNyEMAEMB8X6R6q383mMQuv2IXUQZXlTmGGi8rxCjtU+UGrcr1X2PIjiDmgGm0hydXjfKL1X7Up77frisxe4qqGhx7gXWJZl4OkCh3CtxFrfU1leJ6v7qbzzjRY8g1li3XUrEsYsXiSrFUnxaKq4s5pQ2FrZqutHcXpW3PkpvUVK2OWSdsRNbF66+oMgS8jJI/Wsp3VrzTitKuKiXKoPERL7cl074d50Dr/d1vftmecquq5IeKl9Kj5BIHj8KKSI5zpBXZKwWTqv8KiVtVhF6ZFAHAQxQvx+MUjottoAMha8Qz9qKxD7DVETTUv20wrw7GyowcuHGGrXNAfNK2SxwRrdG4Mth8ffksHapnUAThzO70cYHw2WoP7Xn8dd5YtpZgSZRxYGz1/uJWes8ippuDeA5BdKTZE6qYrrw1EbhRYkoPHyrB2993vQ4BAMCb9u7Tgjn1y9kQb1Il6rYD++tsmzfn193myZHuooJiV9MR74wwnf3vV38KfP86dG7/ecjqfVuT+BZoiOweHSDv/be/+v7AiaN/H9l9PNpbhHWhCn6e12/YO/vbT/l16eM3VJ0kV48CGw28+fD56x7HPh7znxk1phPC/kocoupiXT9OHX7T4BGVf0Yt/Avg2Ntjbns3t+7zYbTqIyV1i6mbFCnYMK1BwYYZDmjHuRNHiwMsx4YZhNAlbEsHx3IcIHjlqlU0p2CprVvqgkXH7RULGXRpzsFCMLUyyRKlMDYZnPfc8VJofmdHfcWrf+rm12VC+bGyCN9Bja3A2PUFTuw4VIpmtjeLXnuNIdjwtDufnDzrgQ7Vjh5MdHeIJXojyIAE2LAGCbdGQ5mX5+rAgzKsacvRB1WxPH0CANamoIAmWladdawklZnAFl5+Xx0A2KOWwpfNoXD1XAQFjCIToUtl1KU/1RfsI8lgbQQFtLJtnKesyWgiE6jtBu9RBVksD5+VxR4CnFPlXJzuPEcaJll1l159r0eBkc3LoHQA0DQ66go8jYUP6xyfZBYv0XLtXMbWsS3l8bkSAQYQZaQDpTmEowFR8541rSKVTWp6Oc6wAQDwE55DGN7Dq7rJQ3BKz+HaSyB1w0ZkXfz+iiZDyMtsiSJ0mgidJkJn5JfeUEA0lEyJ0CWVkynOowg7ALOwCG+uWDpRXO3iXHIyAIruISzqtSxCAIjrlcJJl6gbNrEEW12SIwB4iOjlGJxShYJSZgJ7UR7TXglea8Q19goPsBH9JWiof9VgXhOkiU+TjoQOCL1AnlTtEkdEazS+DA5hXTgdpDVDfZhNc/mjqtEUVmQK4tRFGWWrOf8HABYL/qZkm3vVLYPqdDT4h1zEU7TKAQVRWppfY5RpmulkQGRc06qDzFeSX2inIJj79eK/hs9f8Prpuev+1vaZ/lyr8u/G/mhlAfiSAABA1rR7Z1M4d8u5mvd4qLJp61bXNru2+y2DnxneRbHn3duXnBTaA8wU/vjRqvFL5q58R73ou31l0KqdoeaJAJEJFx7Og2efHj/87NpjJWFZ0+sMAPaYTcP5TqwZNZJdu37aj+/aek7YdIGuZ4GNgrrz9Oe7BTe/ut5hadfGAgAAlL3gQkmQE/JXIhFVF+MuzLu8R0bX1AuAFZ89VRrkABBNx4lP3+g8dqrAh5hb9x035SbZqY9+LKaANylqsKFyvRKl7dV2EHAMxSAqPSH6rA08rc+U4ZkXci+UhVBzy5ufndpNdnLJpiIKgMcp9MU/9he9OGrBK/c/vzqnTN7i3klPtA3/tSAvCGiKOIWiZHDBk998dnrkzDkzJwaX7aLaT5rTBz80b/U5UnSBPAplTQbNe7bFiV2HjpcGUGOrIeOHpvt3/17n8wKxIxhsmq6Tlk8bqIO+wQMj3j5HxZgrTviil0eGOBvykHBrNIx5o1wdBECzfYQc98T+4Wun2v2nJ3WINQXRB+ysoo9LrZS7fpMLPMRyqlx73ZYBZRat3pcrY4DF01hyr4as0hpZhlPl/tOdene5WW7w5WNgIWt9RDoyNB62gr6XW2PVhN0IYqTQuPYhheXeL9LgyVLjWBuzwOx3IPUpMHK7WCx0WA73OFPuBN85DNKrtQthiUEuwkuEinCWZWVtSBQQJhDTbTOfKxmULEeQdh7djRDmGMyn9J2qGvVYjCxCka5u/U0QIhkspPSfqHyQgqSEiLbAKinVrS41Uell4bqigpA7NVRPt+luYPakBQU28sTWrogI+CuKDFFe5txEyOXSDnNpNmjCHk7Wya1LR8K/ygQyRu9EItsVVrg3E6r7belP6TwHFZQfEHVNL0cMAHG9UiiJJ2x4go2HZA4APoScglzr0fdhQk6Q93BpNLhnmyKW6uIfsaN7WXCAjegvIUP9uwbziqR0Uh4EvFlAd5cPyzdY/xK6602mdkVFxsjMLChoFANET8kyOdaN0/6qF6AiWoNfBm+BImQgRlKeSsuyQ+rePgVGOD/Qk9Ue2ou6SAGbp/M5SnUPuZCA2hnPIR2XqFwCUFw/Ydm2kSkV/xj7yZqxkD/jjhEL82mgCz55dpz2jZcnL3pfQ9sPbJgz6PWqE6F5kgAA5M2uT4fSn8/X2uepaD3ty+WjtY5TR/9c/uLD72887ohh5YV17Zl4/9SLM8Y9/eail1CAkO3k3iOlQl0ynLdixBT94olPrx6ilwHQAWf+oZ2RHm1GJZi39pFnsv9YOefr/5zs/9GZYL0LbGjkGZ3/zwCmwW9sv7wf2bVi5KCxh4JC/kooia4LVRrTr7976piJZhmA/+IfW9+7a/5XJ0iBpKjBhhB6BcJS1Q/PYEgGVdZjFwCqTMnuOXLiuOYpOHDeon1bFg54Z81JEoDXKYFjS+55AVk4YfKm4WoAqiz395lj5q0tYwETqVCcDCDPLhwzSTl36rTPV74B/lO/LLl7xrqKdyxEFsijEOPC5l4vzH8yS40A+PMPbJ70yKLNdc/jjB2hYAsV7NlmHTDQuWuvlY49V8KJKEOcDflIuDUaxLxRrg68IKyiRwgpj2frOIcG16XZAg7DIJtaDkyh2vmB0Sv4vhyHhtanl9tdht4u080cAMIUqZyHqiYb0WRwaHBtmtXtNPS2p94JAAhTSoQ9QnXRMs9SMzrcpR/tRzEAFmHtipBgrupQMu+KVNmL5aYnvOR7OooSW2BU8yL0TrNN7zD0t6cOAOCqtQvhEJRR3mnTqQEAOJc88H2qM78+dVWAhjem+M1O3cNWoPDQFoX/8geWkfDmFG+aQzvKqqWx0M8K/wkMOJTOU9CdPeZnPAAIk692LDb4LnlZRNgAAABXpnGf8Jivk3l+F5ruxtquSAgFQGQZ4sKGlLs+NsH9bsOzPhSA88iDP6Q6BI+YFteJ+BQi9J7UUp9bf5vf8IgHAYAAHtomr+blSAEgrlfyJPGHDUDkYOMnyQOAV7qAUziGuNOuVQNnIzxLTe6i+nfzSPB4WXiAjeQvfkP92wZzGqXtiOqe8nQA1iEP/W62/aaiBWcwydOu6CBN3JbJvsr+2cea3geoTZmlv+Ec8FiDTwZfgWJkcPI7rGk9WKZMHt5nKt2uJqvvfRd7kQJK7v2Z0D4YordpyDiOVapW8w2qlmLySUhISEhINBrqYOpsK741o/QXWUMu1VwhMhJOY7Yr2eqSh02zyxS7Mkp+qp+exqxLojo8lr9ag63RwCjdtBJ9uaV4KRHfSn3yD5XJr1AcV2u7xJH81qiHQqS5M2NC2DsvzWuLY/ngsweaVPwlEeegS0hISEhINCTotT5CJnPHuVPuapWRcBqzXclRF4d3c2m1snAZirb1qFSY/2R99TRmXRLV4YmoqzXYkp/kHyqTX6E4rtZ2iSP5rSFGIUHJ0zhEE9YO98E+i98ucg+FtAQgISEhIZHcICzRI4SU6YPxLHVftTISTmO2K0nqQjhUxxB9fVotBwFZYKPZFdcx1P9sXRLV4bP8VRpsyU/yD5XJr1AcV2W7ZKRxeqlWHyElvDKr7HD092MTaw3RMngQpRBt6kkd58dYLLwvpXyj0AcdeSqXXgSQkJCQkJCQkJCQkJCQSC4QDkujsEgHR7E2OS32y0lXqox6I70IICEhISEhISEhISEhIZGscAhTKm/wQ/uuFBmJI1HHoDcqqLHLyLemj+pAAACghi7jp780vo0iUaVjlv6LV34+v6syUQVKSEhISDQQCKvo6zT2pZJr16MqrB3i1GZyAA2gEGVUw8stQ8PJ1eR/CoRV9HEa+yRZAEgkOVLYXNFUH2Abs66rdTC/WtslwcsVuQSAmbuNmDiqewYOAICndBnz2JA+loTtZ8A02X17dMxWXZGmkZCQkLjaQVvasxZfNFTck6GM4mavphXT+LcaNWTUBNGENbf4CH3DKERYvFVIYeIaqMk87WrYuoy+9MUFzRYXNFtckPVoqG7rsI72JguLLL3oGkkoo+jl1bQWNm/kdiGs8sGLzeaVay2JbG9j1nX1IBQAscATvbXHDd6wiRxs9ZTxbw2AhA8pNQZYAGggf9Wt62odzK+0domjMS9t4mhkhdXnuaj6hsc/LDm9fmp2jek0Zur20icbSs7k+HO3/v76vW2VSAxJiKbV3YtWb7adyfGf2X3kyylDm8pjKVCivmDGno/O+uX33b4zOf6/t+yY/0Bn7WUfN6bl61UXqrv5ua89Z3K2DtJfyqa8flremRz/pT/7p9+kFExCdR1Hfr7hN8+ZHP/xLdveGNpeVVkelj5s15mcQ/9pLgMAUPd5Z4f/r3l9VfVoMNFs+IuL9+874D+T4z/6069vDOuortLO55SoPUWkQpEyKn6gu/6up5d+tT7/2KGiD7pr6l9gZBB1y8ELv9pUeibHf+Zw2c41a8beYKjfgpu4YGuo7hApeqOLEGdD3iITbY0GMW/EYIsRVn5TELWr/OX/7KUjSWQknMZsV826PCrb/IySd1O9zog/5pAUCkNZWVp8Z5NFrusSCItn0EBQMrWoUv/5uuJBQanvL8t8p6DZ4oKsV8sNnUTOlxoKgQCIBZ7ojSuwr6BgS34aYUhpGH9d8dRslzZgnlFYucQ2s9Q8IIBHeq39ygXN8lreKsjoH21Yi9vLQgXGk4sgtQ+VNllY0GxxYZPJDk1GxEl+TYUoox5T3PTSqujL5cZuFJrQCK2c7Mssne96bsq48T3MAPk1f9DsmU8+mtFi/5vPLf5b13fG9Nk/4WWdX97v4viSEF33RatfG3zys6dGbi/UdBo7e9qqpYH/u/vTXJK3QIl6I88e+va49mdWvjPqb6e6/ZDXp7y0gTzdYUaOHxrX8vWpC1F1eWbJhkcttV64wZQ6FXdq+sMzt7o5AOAo17mQQBJmufPLVdNuPvLZ46N22zJvnTF35haVvdNzO+0syEwtUgGy7u7ddNmFc/I2o3rrQJnZTINCQNwFBIBmcMK66b2XZhZTqTcMnT1xxjf+kze8mRvkdQpPTxGpUJQMAEBUbScs+XBG9omVa1ZM+Oh8YfHZQP0KjIry+tdXzB3j2fjKuDkHHXiTdjd2CbmCYq0OIDbYGqg7RIneaIi0IQ8Jt0YDmDdqsMUGQao7sPQuNU3HkyvhJImMhNOY7apVF4PSJShgwFARf43QuywXzzJciajjnaO1i8W9H2aGjQhVmrh7q8asK3YQlri/zNRR7l6VFnSyir5O42grNz/dXZI00x6BAIgBnuiNL7CvnGBLfhpjSGkYf13p1GoXzuImjtxocRZweHZAN8CW0dpY+rGWEt3dkgZEG1bf5tb3DWEAUVsTj5djKjD2XCijfrTMeK3CvTIt6KdVAx0pE1jmDXOw1p1ebYUcamaQC8bybxSsjJF38hgfLMXpTOthLGZFAlQsARCtJs8b1/PoV6Omdfl8frPq6cp2o6bcEFg35pU3d3o42Htcef2R5566a+Gfq8tZvqRr+t1mLFk2b9m3uSTAiefn9x/+Qc+O2s9y7RxPLl6hqLbdfQvmPj3qehMWLDluMwMUVktVDFi42WXQyVj38a3LJ7+6cq+7ojS8+f1v/zi9b7YaBfCf3bth1itLvi0mAQCz3PrOu+Pv6dgiQ40C6z6+dcVzM1bsctbRgKfdN3/Vyn6nJg6buiyf5CkQALX0fHTm6Ntu6XRNU6MSB6BLfxl190ubG3dtg8xbfmuv5RTFAgDsPBLu3mfVjZ0y8Jw8ms+VCZdRj7rQtNtnrBsTnD16wZD/vVljk4rKSASLjhw//Xed6VGUJNTSe9QA1YkpL3+6oZgFOP6EqtvJOaMHvrV7VTkrMzVTX9h+0HznHelfr7QM7O3bvR9p3tqEQzkpss108devvVH5972nVbfdsviGbC2SG+R4nRK9p4hUKEoGIJpeLy16Efm454BvzoQTUWB0ZOld+lqCP7z49pI9fgCAg/vXx2HlCIgLtobpDlGjNxribMiDYLvwjEHLv5k70Ln6nlGL9ng5wVyJNy9PsMUE2synVOLenBqH6CLtbJnvsigGbInKsy7Fc67K+jJaNcBh6BXCFQhzQeX51ug9jwIA0sSdOsZDpHCcnQjkc0TnMOpRur8weQpRAACMIfo5DX0Dcg1wLoX/pxTnnzKOE5JBkJphDv2NJIYidAmGAVT3YjSFSIrPPM6lNLEAwNoI/6YUV8X5wCijHGY3dCRlehYA2BKVZ32KJ69uVHFYZ0f6Y0FybbptL87xFAgA2pBukFfVOiwzsggKwGKBZRm24zXKrN0uGWl4pVSdm3ZxnYIDQCye9Ffc9KdNrCdQAABVWHufU9eJxHAABqXP6ayf6SpvKEXUxYPRlz7LUbFDij1sKV5J1MqCXONKe42S6TjORni/NbmPY7V+EKEuvS99juPS/kRmZ/rFDXIOAO1U3mQ05Xs301lYMU9jlU8Up2ZpS98yUBbesIm/LojuLx4ZJMXr5WjIKFVblt5j8ByRcwDkBk7ZxUZksu4SoRvKKJ0IgLIMbwsAACAASURBVM/LfAoRDm/vMdzuVzanEQDOLwt8Y7HnCMkQ1yt5kyKHDU+wxdYrkzQA+InmFJRRDrMZO5O4mgNA6HNqz7cGX2Ecm9VqWUP82BttgOUdHGIx1L9lMK8wUak8nIeG85TBPDR9ksvYSVV+ELuy2lW3fFk/h/4aufcLk+Ihe7S3wutaI7qMmAqMQ4Y2pGnHkd+kuP/CARSkjSNmOXTtmeCfNQa9iP7iAjhZKGcByAsytM1FQ48wmqNidf602Xbs54ySLTIOAFBaM/ViCm0qfk/NxDMKVJg1lPvqgDt6v7ByW2mt2QWW3qVrBv33+pPpr3y/r+CTO9i9O85jbe64luBNAtKWV8RlDLyjlQYBQHWderVALhzI9XH8uXjALLcvW/PKA7Lt08ZPfPC1b49Tta8V5zZ/8NiT4x6Y9TPVb9I3s3sYKldYGXvOd7OnPtv/vkcHTPjyVNtHvnp/WAsMAADTXHtr92scX8+8b/T4h+duZftPXPd6H1OtIJNnjXx7xfK+p54f+cIX+SR/gQCyJreMHN0L2/LBnFGPPzXgsQmPvfG/w956jciiYCunEwCAGbNTMf/5fDsDoi0vCvF1ybKGLHvzhi1Tp32WF651adelG/BQUGMxaWo7P1oSqjKqgPWV+SoMwtqOHy1Bm3VrIgdA1eYUufvg0j/NI3o37Ti4m2fjlhOkuokuEV+UwHVt+j34ZOvwnk1HnZVtiOYUnp5Sb4XxyEBTb3l1eDpnGfnjHwf9J3YeWT71vmby+hTIA+04c9yn7P3ALdcSCXkOIi7YGqQ7RI9eHsTYMDrC7SKa9epvQYk2vW9OxWPIlXjzxhRsPLDyHiHUpg5Ya4aPTeVakVq+LMXPBA1POZQVb8wgrHJ4mbkfE95sLv88xU8GjRPLdWkcACA6UmGUuT5OcxSQ6k7gXZrqtocMwwM4CoCwiqFlltvp8ObUsg9Sncc49ahyY0tWQAbKqB4uT+kKwe/M1i+M/hKkdnhHVAjA+RW+H0zl76WXLjF7Sknt4zaNqVK8rHVIFtDYP7NYvzQG2IDhKYey9v5hDr/Rkf5okNqQZttXed8QtUAAxBDU9ghCrt6+zFK+xGJdYfTWvpWPYt7IcIp7rcb2qG+1pWxhWtmyFM9BBVMVvAmuy62yvZVR8k6q1xHlBwga+tVk/dzkKad0T5Xrs2r1wEh1eVW2tzJK5mWULDD7fdV+mq8mWUbZvmobp4JUteSYv1UUxRs2ouqC6P7ikcGTiw8ao1yAtw/KFAAAaJOQDPBwqdBcLnonAl4vR1fI4d1s6U+6FX6Va1Vq+Sep9o3aoOCUUlyvFEyKGDY8wRZTr0zWAOAjulMQVtY6jLu0tk8s5V8aQjJ/ymSrNjX2e9va1hA59vIMsLyDQwyG+pcO5myB1lfGKbqFL+8tvzLaVReE3JhR/K7Jc6r2yi+/NaLLiKXAOGQgMgYFYD1VDfHJw27AW9R6v0DogsgBS1fN2r2KQDHgHcJYxT8JSpkO1DEFG+ecs+omkOMiZsRTsvTgPmZl9dlNCBOernAX2UHdxCRHgImeFKCLNz4zt8ePM1cdv3nrFmfb+zodn/LQ0r/D/AUGokvHm9815i7VsYnPvLnsIguwP9c8cMSE6j8In/71p+93+QEOlbTqt/PeAR2JPbuCAMD5zu785iwAABzNLbDcMejlXm1V/z3vrcx1fu/2n3f7YffBCy367LpvQAdi+46qDamorv3kzxe81mzHmKFz1xZeWhnhLxDAfXztN1v+SIbTIRF116dfn97s6Oxx+5wciLW8OMTWhWc9/vaU7I2THtzpYrS107S6YBl++5pfBiMQPPXbihdnLP3VyvAm0SUHDpSgw6c+0mX/pzlWVNfiGpMCcCWOAGCGDB1G2ff+7/DLz40ap/Ovm3Ah9T51tr6eSwD4NaNXHXulDQA4f3vtof8V1t4/VNspEL2n1Edh3DLUbfrfiDu3/vD5x7vzfdqOT86ZvnIFlz9w0eGQyAJ54Nx7Jz314RfvvX5090PrV6/5cNUvf1jF7rwAED2kJL478EVvDMRjQx4Rgu3yHX5/9NvW7p6tn52nYsjFN86LM69QsAlAkJrrWHqHqtZePq5cFThKsABhN6Wa6ldlcsE8BIx+fTeG/DbNsQPnAELnMGx6ua4/6V2jAACgMeqCIqyUQTuMPKekjDLDQBLDgVYHjD3Z4PJ051EUAMLnZWiri/qbSdcZgo0uA0kJ6Duw4bVmx14cAEKlrKqLW1ghAIRlwZyKNzLlpINRdXAp01ivvWoeZSeCuQQLRMhBK5/zqzO54Jmq+wOElfezmgfTwVXpjkPVnhvwFgiAkYc0gfNRbjKimDcyCIcZWPDLQ6eJsB8AoM6mjsTVxaJ0GQoYMFF+zJ3VuXcSLEAwD8eml2n6hT0r+fx1uUwAkHFs9WU3H+HLB1PnIL5VRjGANvcrVZjvgIwDQCB62JCi6oLo/oougy9XBXIWrbhUcMCF0MrbOxb3rTES45zpM0KBXFTeOUx+k+a+WM07EXNF70RVIRfFy9EUKsL6e4PICVPJUjUT+54rg5heCUJJkcNGMNh4emW0uho5AHiI6GUhp3BOInSSYIEI5eHodKv+NtL3tSKmC1VEa8Q/9nI8Ayy/vwQN9a8dzBmUciBICo2hwF5B7YqIYCxGtAaPDHF3YVFycR4i5AZNf6/ivC7sBdREYTggtT7EwO8vOaPo6tZnQXidnOUAOCx4UG6816/Qamg3IGlBBY75T8e1YAFweQlAAP/BsbcNmkWVlarviSkJVWVlN1EU/bbkh5PGm1shKd0fHdpx/bsHHGwMBUZA0aJrFhSv+cMmeL2gSk5ZQZdukAEEAQDP6P34/MnD+rdN07Fea0gPuI+IMERSJSetoDHrLztEMXDBpwOpPU/dMWttafVKYyzwnwbV9Ry/ZONY9ZdPj/nwXM35VXyWrx/x1YVmDHhxTvb2x579yxMhjMkTn45p9SkApm3ZY9gbCyZ//wXdddiykxRfUuDYx48sar56yrJzkwAAgAGAwgIPA4DpLGqMDjuOfLe36WcPWhe/Vhh6mEG1egIFTz02gtOFG57v/ldmq84Dnps6c8f7VPdxPxReutpHdErUnlIfhfHKQLUZFiXkr/t6y04XAJyeNqvrkBUDH2z90eGjYZHt4oN1HFw6pM+69rfe8/SYKdvGjv9+5tgnvz4X19vgERAX2AnrDvzRK5g7XhsKwdMuqvTnzxf9HG+uhJlXMNj4QbN9BMG3dZxzyxhgMSUHgKDmsAxwb17VdTEoD14EddMwhiku96FLBTEVMzxAUkM4ysqfKKrxTlyYQZDLP64rAzGFccC954Vf0quuEAAQfUg7xKVpQ+FKYL0IClw40ieaOE+NXACAtLdb2kNodab9UI1KYywwIoLmrakJDX5vDD7jTHvdHz6s9u/R+vOxyA8T6l9X7IRlwRLQZJIoRlyaa8VXF4uF9hDco36lSUtZOUXPIFqu9V+seT9aJ2wuEW+7ovqLVwavl1ni0WJLh4r6Za430z1Vn79CjTSO4YEdKlIVkiEs0d2v+MsQ8vPl4ulENO92pWgKEWNYroLwfmUc83+xvfISwk6JFDaC1O2VMdVVkwYIAB4iezkOp/gVgSJQNRMOgAr4rBHX2BvzAFsLQUNJg/mV1S5xRLRG48kg5e7letlod9prl9eSaEfNtzai+Au5zpq1uOKvWGhbqn1/xbQdoY9oyHsdmjaM/08UbxtCfcpAWdw7awWWAGhHkRv0GWY5R7pKigEUWVkm8B+0kxxfEqLv9eLyh5k3b3/pgws0rFj53tDFh96eNWnTsFkneXLxwXEcABrLlxAZmgEExRAAAHn2Q+u/GGf55f2x8/bnBxXXDH5t9ZjIuViWBUCquYM9tuEndNhdC+c/nDv2q7/8lepiL/CfBDXcMu3z7x9llzwxeuZeV9UYLdLyohBVF2q89bHeejN8d3Dw5f98b3vhrU+2feHQ5Y1zjDdv98qxs3vc+cFdg7NWnMyvtl5WN4n17Pto7LVL9U3SdWgg2GLyf38a+PeuIhJArTapOJJm/DnTRj74QfjCOTItRCMqvQIDqM+74JS76FhO0bGcg7utWWcWjr6/6c+LztMA0ZzC01Ow+iiMUwZHkwyAJk2DgYsBANJaYIN+TfX4pcd6cRYYA4z7+K9fTfxt/fLxy3fNnvXrjtFfXBRneHGBnejuEGP0Rs4r1oYRSLg1El6gcLDxgLCKHkHUquPbOs4hUHMwF4BDuJqRhwAggPm+SPVW/24wiV1+xS6iDK4qcww1XlaIUdqnyg1aleu/xpAdQcwB02gPT64a5Rer/ahPfb9dV2L2FFU1OPYC6xLNvBwgUe4UuIta62sqxfV+dTefcaLHkGssW66lYlnEisWVYqk+LRRXF3NKGwpbNV1p7y5K254lN6mpWh2zTtiIrIvXX1FlCHgZJX+0lO+seKcVpV1VSpRB4yNebkumfTvOgdb7u9/8sj3lVlXJDxUvpUfJJQ4ehRWRHOdIK7JXCiZV/xUSt6oIvTIpAoCHKF6OxykcF9tAB0LWiGfsRWMfYKsjaKh/22BeHYyVGTlw4wxb54D4pG2XOCJao3FlsPn68lk6VM+gCMKZ3enjAuGz1R7a8/jrvLFsLcGSKOPA2Or9xa30nkVMNwfxHILoSLMnVDFdeWsicKPElB4+VIK3v+96HQIAgDft3acFc+qXsyHeJCy1dUtdsOi4vWJ6RpfmHCwEUyuTjDcXD6Fz+89DVu/bmsS3QENk9+gAee+//dX3B04c/fvI7uPR3iKsC1Xw87x+w97Z337Kr0sfv6HqJLl6FNho4M2Hz1/3OPbxmP/MqDGdEGd5cYiqi3X9OHX4TYNHVP4ZtfAvgGNvj7nt3dy6z4fRqo+U1C2mbhJHuosKil1NR7wzwnT2v1/96QcATGtQsGGGA9px7sTR4gDLsWEGIXQJ29LBsRwHCF65ahXNKTw9JTEKY5PBec8dL4Xmd3bUV7z6p25+XSaUHyuL8B3U2AqMXV/gxI5DpWhme7PotdcYgg1Pu/PJybMe6FDt6MFEd4dYojeCDEiADWuQcGskvMA4gq0uyrCmLUcfVMXy9AkAWJuCAppoWXXWsZJUZgJbePl9dQBgj1oKXzaHwtVzERQwikyELpVRl/5UX7CPJIO1ERTQyrZxnrImo4lMoLYbvEcVZLE8fFYWewhwTpVzcbrzHGmYZNVdevW9HgVGNi+D0gFA0+ioK/A0Fj6sc3ySWbxEy7VzGVvHtpTH50oEGECUkQ6U5hCOBkTNe9a0ilQ2qenlOMMGAMBPeA5heA+v6iYPwSk9h2svgdQNG5F18fsrmgwhL7MlitBpInSaCJ2RX3pDAdFQMiVCl1ROpjiPIuwAzMIivLli6URxtYtzyckAKLqHsKjXsggBIK5XCiddom7YxBJsdUmOAOAhopdjcEoVCkqZCexFeUx7JXitEdfYKzzARvSXoKH+VYN5TZAmPk06Ejog9AJ5UrVLHBGt0fgyOIR14XSQ1gz1YTbN5Y+qRlNYkSmIUxdllK3m/B8AWCz4m5Jt7lW3DKrT0eAfchFP0SoHFERpaX6NUaZpppMBkXFNqw4yX0l+oZ2CYO7Xi/8aPn/B66fnrvtb22f6c63Kvxv7o5UF4EliL/6xv+jFUQteuf/51Tll8hb3TnqibfivBXlB3lw8MIU/frRq/JK5K99RL/puXxm0ameoeSJAZMKFh/Pg2afHDz+79lhJWNb0OgOAPWbTcL4Ta0aNZNeun/bju7aeEzZdoOtZYKOg7jz9+W7Bza+ud1jatbEAAABlL7hQEuREWV4k4rzsLsy7vEdG19QLgBWfPVUa5AAQTceJT9/oPHaqwIeYW/cdN+Um2amPfiymgDcJUGXT1q2ubXZt91sGPzO8i2LPu7cvORkAAFSuV6K0vdoOAo6hGESlJ0SftYGn9ZkyPPNC7oWyEGpuefOzU7vJTi7ZVEQB8DiFjtpT0BRxCkXJ4IInv/ns9MiZc2ZODC7bRbWfNKcPfmje6nOk6AJ5FMqaDJr3bIsTuw4dLw2gxlZDxg9N9+/+vc7nBWJHMNg0XSctnzZQB32DB0a8fY6KMVec8EUvjwxxNuQh4dZIfIHRg00INNtHyHFP7B++dqrdf3pSh1hTEH3Azir6uNRKues3ucBDLKfKtddtGVBm0ep9uTIGWDyNJfdqyKplj8gynCr3n+7Uu8vNcoMvHwMLWesj0pGh8bAV9L3cGqsm7EYQI4XGtQ8pLPd+kQZPlhrH2pgFZr8DqU+BkdvFYqHDcrjHmXIn+M5hkF6tXQhLDHIRXiJUhLMsK2tDooAwgZhum/lcyaBkOYK08+huhDDHYD6l71TVqMdiZBGKdHXrb4IQyWAhpf9E5YMUJCVEtAVWSaludamJSi8L1xUVhNypoXq6TXcDsyctKLCRJ7Z2RUTAX1FkiPIy5yZCLpd2mEuzQRP2cLJObl06Ev5VJpAxeicS2a6wwr2ZUN1vS39K5zmooPyAqGt6OWIAiOuVQkk8YcMTbDwkcwDwIeQU5FqPvg8TcoK8h0ujwT3bFLFUF/+IHd3LggNsRH8JGerfNZhXJKWT8iDgzQK6u3xYvsH6l9BdbzK1KyoyRmZmQUGjGCB6SpbJsW6c9le9ABXRGvwyeAsUIQMxkvJUWpYdUvf2KTDC+YGerHbTI+oiBWyezuco1T3kQgJqZzyHdFyicglAcf2EZdtGplT8Y+wna8ZC/ow7RizMp4Eu+OTZcdo3Xp686H0NbT+wYc6g16tOhI6eFDi25J4XkIUTJm8argagynJ/nzlm3toylj8XX0NdeybeP/XijHFPv7noJRQgZDu590ipUJcM560YMUW/eOLTq4foZQB0wJl/aGdsT5sqCeatfeSZ7D9Wzvn6Pyf7f3QmWO8CGxp5Ruf/M4Bp8BvbL+9Hdq0YOWjsoaA4y4sk0XWhSmP69XdPHTPRLAPwX/xj63t3zf/qBCmQBIrW075cPlrrOHX0z+UvPvz+xuOOihU2hNArEJaqfngGQzKosh67AFBlSnbPkRPHNU/BgfMW7duycMA7a06SALxOidpTMJEKxckA8uzCMZOUc6dO+3zlG+A/9cuSu2esq3jHQmSBPAoxLmzu9cL8J7PUCIA//8DmSY8s2lz3PM7YEQq2UMGebdYBA5279lrp2HMlnIgyxNmQj4RbI+EFRg82fhBW0SOElMezdZxDg+vSbAGHYZBNLQemUO38wOgVfF+OQ0Pr08vtLkNvl+lmDgBhilTOQ1WTjWgyODS4Ns3qdhp621PvBACEKSXCHqG6aJlnqRkd7tKP9qMYAIuwdkVIMFd1KJl3RarsxXLTE17yPR1FiS0wqnkReqfZpncY+ttTBwBw1dqFcAjKKO+06dQAAJxLHvg+1Zlfn7oqQMMbU/xmp+5hK1B4aIvCf/kDy0h4c4o3zaEdZdXSWOhnhf8EBhxK5ynozh7zMx4AhMlXOxYbfJe8LCJsAACAK9O4T3jM18k8vwtNd2NtVySEAiCyDHFhQ8pdH5vgfrfhWR8KwHnkwR9SHYJHTIvrRHwKEXpPaqnPrb/Nb3jEgwBAAA9tk1fzcqQAENcreZL4wwYgcrDxk+QBwCtdwCkcQ9xp16qBsxGepSZ3Uf27eSR4vCw8wEbyF7+h/m2DOY3SdkR1T3k6AOuQh343235T0YIzmORpV3SQJm7LZF9l/+xjTe8D1KbM0t9wDniswSeDr0AxMjj5Hda0HixTJg/vM5VuV5PVTzAXe5ECSu79mdA+GKK3aUgxJywDcoOqpZh8EhISEhISjYY6mDrbim/NKP1F1pBLNVeIjITTmO1KtrrkYdPsMsWujJKf6qenMeuSqA6P5a/WYGs0MEo3rURfbileSsS3Up/8Q2XyKxTH1doucSS/NeqhEGnuzJgQ9s5L89riWD747IEmFX9JxDnoEhISEhISDQl6rY+Qydxx7pS7WmUknMZsV3LUxeHdXFqtLFyGom09KhXmP1lfPY1Zl0R1eCLqag225Cf5h8rkVyiOq7Vd4kh+a4hRSFDyNA7RhLXDfbDP4reL3EMhLQFISEhISCQ3CEv0CCFl+mA8S91XrYyE05jtSpK6EA7VMURfn1bLQUAW2Gh2xXUM9T9bl0R1+Cx/lQZb8pP8Q2XyKxTHVdkuGWmcXqrVR0gJr8wqOxz9/djEWkO0DB5EKUSbelLH+TEWC+9LKd8o9EFHnsqlFwEkJCQkJCQkJCQkJCQkkguEw9IoLNLBUaxNTov9ctKVKqPeSC8CSEhISEhISEhISEhISCQrHMKUyhv80L4rRUbiSNQx6I0Kauwy8q3pozoQAACoocv46S+Nb6NIVOmYpf/ilZ/P76pMVIESEhISEg0Ewir6Oo19qeTa9agKa4c4tZkcQAMoRBnV8HLL0HByNfmfAmEVfZzGPkkWABJJjhQ2VzTVB9jGrOtqHcyv1nZJ8HJFLgFg5m4jJo7qnoEDAOApXcY8NqSPJWH7GTBNdt8eHbNVV6RpJCQkJK520Jb2rMUXDRX3ZCijuNmracU0/q1GDRk1QTRhzS0+Qt8wChEWbxVSmLgGajJPuxq2LqMvfXFBs8UFzRYXZD0aqts6rKO9ycIiSy+6RhLKKP6fvfOOb6pqH/hzR5KbnTRpmg4KRRkvG/SHgAwFRVBUhih1oIi+Knv4iiIbQUAFFFwICgj4viwVFEUcbFFGZbSMFgq0pSN7Jzd3/P5oCx25N8ltWgvm++kf6Mk5z3Oede85OTe3p0vRMrx5Q88LYaRPXktfVKY0xHK+DSnr1iFcAEQCT/TWrBu8YRM62Oqoxj81AGJeUqoVWACoJ3/VlnWrFvObbV7CaMhLmzAaWMOq61xU3um5D4svbJuSUW05jem6vv7J9uLcLE/Ont/eerS1FImgCVG0eHjZxl3m3CxP7sGTX0we0kRcXW5oWXHqCqbtMXL2T78ddOdmec7s3rf4ic7KGz7mcWXsFamLLFR199SvnLlZex5UX+8m7TAtLzfLc/3vyIy7pGGbUFX7EZ9t/8WZm+XJ3v3rgiFtZRXjYcahB3Kzjv+7qQgAQN77nX2evxb1kdVhwkT68NeWH/n9qCc3y3Pqh58XDG0vr9SdzymcmSJQQ4FqlH9A1eGhl1Z/uS3/9PHCFd0UdR8wNIj89kFLv9xZkpvlyT1Run/TpjGdNHXbcBMWbPWVDqGil1sJYTbkHTLW1oj1gJxZGSmM+C4fapF5yv7eu4tGokbMach5VZfllJkXJxe/l+iyhfwwiyQEMZQRJUX3brLQsq6DMHgyBURQJBc06t8vKxokQfljpSnvXE1ffjXtzTJNR4HrpfoiTABEAk/0RhXYN1GwNX4aoKTUj79ueqrPS+nVzyyo2GKbVaIf4MVDPdZ+84KmuQxvX03ux1XWovZyuAGj6UWQyqdKUpdeTV9ekDrJqkgOucivriFKy0cXNbm+K/pGmbZrEI1phFYswEWGzg9NnTx2XHc9QH71D6S//MlHM5sdWTh1+RlVn5kz5vyAl3Z+44id5WtCVN2WbZw36NyqF0fsLVB0HDNn2obV3v97+NMckldWnDojzhiyZGzb3PXvZJ6xydsOfmvy69vJC+1mZnmA15Uxpy6yEFmXl1duH2mo8cANJlXJ2PMznp61x8ECABu0X/KHacIMD3yxYdrdJ1c9l3nQnHLvzPmzdsssHafutzAg0jVLBEh7uFeTNVcuiVtl9lKBNCVdgYJX2AUEgKJxwrTz/ddnFQUTOw2ZM2HmVs+5TgtzfLxO4ckUgRoKUgMAEFnr8Ss/nJlxdv2mdeM/ulxQdNFbtwE5kXZ4a9380c4d08fOPWbFU9vc2cVv9wm1OoDQYKundOCIXi4E2pCHmFsj1gPyZGWEEKS8HUMdkFNUpD3qhUaiRsxpyHnVkEWjVDEKGNDBkJ9GqAOGaxdptljQ65255sXgrg9TAlokWBK7e6uGlBU5CEM8VqprL3ZsSPLZGEkfm3aUiV1sdBQ3mmVPmACIAJ7ojS6wb55ga/w0REmpH3/d7NSYF87gOpbcYbBdZfEMr2qAObmltuRjZVBwujUaEGVAfp9D3cePAXDOJhovRzRg5L1QWj6yVHubxLE+yeehZAOtCeMZeoHeV+NOr6aGLKqnkSvasq0SRkSLOzq1T5bgVIrpBBaxRmEo3wIgWkxaNLbHqS8zp3X5bHF61XZpm8zJnbxbRk9fuN/JwuFsaYeTU198aOmfG8sYvqbmfe/TFq9ZtObrHBLg7KuL+w1f0aO9clWOheWRxQuqbDPs3fkvZXbQYb7ibLMeoKBKq2TA0l12jUrEOLL3rJ305vrDjvLbSbzpY0u+n9EnQ44CeC4e3j57+sqvi0gAwAz3vvPeuEfaN0uWo8A4svesmzpz3QFbrZtQPGnY4g3r+56fMHTKmnySZ0AA1NBj5KxR993TsXkTrRQHoEp+ynz49V31ssLmhMxbe2/PtcEgAwCw/2SgW+8Nd3ZMxrPyKD5XxlyNOshCk+6fuWW0b86odwf/b2G1QyoyLeErPJl94Uyt5RFHE2rolTlAdnbyG59uL2IAsp+XdT03d9TAtw9uKGNEunT5lb3H9A/0N3613jCwl/vgEaRpSx0OZaTAOVNFX81bUPHvwxdk992zvFOGEsnxsbxO4c4UgRoKUgMQRc/Xl72GfNxjwNbcQCwG5EZk7NLH4PvutSUrD3kAAI4d2RaFlUMgLNjqJx04o5cLYTbkIey88OQH126dP9C28ZHMZYdcbNhesTYv8GRlZFNE091SKe7KqvYSXaSNOeU9BsWAKZY5tyQ4L1VaX0TJBlg1Pf24BKGvyJxfa12XUQBAUh2Jo51EAstaCG8+S3QOoE6p43OdswAFAMBooq9N08crVgBrl3h+SLD9KWLZcGoQpGKoVX0niaEIVYxhAFW9yKUhkuDWj7VLdQwAMGbCUtb1uwAAIABJREFUszPBXv5+YJSWDrVo2pMiNQMATLHMuS3BmVc7qliss9X4rI/cbDQfxlmeAQFA6Vc96JK1DIi0DIICMJh3TbI5u9qYNeclIjXTS+Q5Sde2SFgAxOA0TndQn6aazqIAALKAcphN1ZHEcAAapS6pTKtUFTeUAmTxoHUbZ1vLT0gxJwxF64kaXZDm9qR5QZGKZc2E62udIxur8YEQstRu41zr9fOJ9H7jte1iFgDtWJY6Kuh+L8VWUL5OY6TPFyWmKUve1gQNvGETvSzg9hePGmSQ18tciIKy1gx1SOM8KWYByO2stIuZSGEcxeFuKDmSCIDPy3waIize1qm53yNtSiEArEfk3WqwZIVTQ1hW8jaFDhueYIssKxtpAPDD5RSUlg41azuTuJwFQKhLcufXGndBFIfValhDeO3lKrC8xSESQ/1Tinm5iUrEgTw0kCf15aHGiXZtR1nZMezmmlft8UV9rermYtfnOslTFq6j5bWtwa1GRANGoYbSr2jDklsTHH/hABLSzBKzraq2tO/PakUvpL9YL04WiBkA8ooIbXVN0z2AZskYlSdpjgX7Mbl4t4gFAJRSTLmWQOmK3pfT0VSBcrP6c94c0L/Xf9b/WlJjdYEZu9yRTJ3Zds44/dvfr37Snzm87zLWqv9tBG8TkOa8QjZ5YP8WCgQAVXXs2Qy5cjTHzfLK4gMz3L9m0/QnRHunjZvw5Lyvs4M1rxWXdq149oWxT8z+Mdh34tY53TUVO6y0JeubOVNe6Tds5IDxX5xv/cyXHwxthgEAYIrb7u3W3PrVrGGjxj09fw/Tb8KWt3rragSZOG3EknVr+5x/dcR/Ps8n+QcEEKXeM2JUT2z3irmZz7044Nnxzy743wlXnSqyIJiK5QQAYNqMRMxzOd9CA7+/Yo1wWaK0wWsWdto9ZdqqvECNS7vKqMH9PoVBp6jpfK4mVKaVAeMudZcbhDFnnypG07umigFQuT5B7Di2+k/9472atB/U1blj91lSnqqKxWMpuKpV3ydfaBk4tPOUrWIOXE7hyZQ6axiNGmjiPW8ON7KGEd//ccxzdv/JtVOGpYvrMiAPlDU32y3t9cQ9txEx+R5EWLDVSzpwRy8PQmzITfh5Eek9+xlQolWvuxPxCHrF3Lw8WRkZjLi7HzXLvabq4WOW2dcllq1J8NA+zYtWafkTMwgjHV6q70sHdunLPkvwkD7thDJVEgsAiIqUaEX2j5OsV0l5R3CtTnRY/JrhXhwFQBjJkFLD/VRgV2LpikTbaVaeWaa9nQmjBkrLni5LuAN83+hNn2s9xUjN8A6pIQDrkbi/05W9byxZqXeWkMrnzApdhfKiln6RV2FZZTB9ofUyXs2LVmnN88MsfqfVONIX3J5k/r3ivoFzQABE41N290GO2rLGULbSYFqnddW8lecwb2hYyaMmbVvUvdFQujSpdE2C85iErgzeGMtyyMxvJxe/k+iycnwAQf0/60yf6ZxlQdWLZeq0GhkYSpZLZn47uXhRcvG7eo+7ykfz5SRDS9tWHuOUkLLbWfqMLBjkDRtBsoDbXzxq8PTig8KCdsDb+kQSAAA01S8CPFASbi3HnUTA62VuDVm8q9n4gkPikdk3JJZ9kmjZofSFXVIKy8qwTSHDhifYIsrKxhoAfHA7BWFELQO4XWn+xFD2hcYv8iRMMikTI7+3rWkNgbWXp8DyFocIDPUPLebMVaW7lJV0Ddw4W35zzKs2CLkjueg9nfN8zZ1ffmtwqxHJgFGogYhoFIBxVk7ELQ44AG9W4/mCcBdEFhiqctXukniLAG8XwMr/kwhKjRA8LWGiXHNW3gSybMiOeEKaGhynTYw6I5XQ4UaJo9AC8lSdGAGau8lLFe14eX7372dtyL57z25b62Edsyc/tfpMgF8Wn5ZNHxr9kOz0hJcXrrnGABzJ0Q98fHzVDwQu/PzDtwc8AMeLW/Td/+iA9sShAz4AYN0X92+9CAAAp3KuGvo/+EbP1rL/XnZV9Lp8eO+PBz1w8NiVZr0PDBvQjti7r+L0M6CqtpM+e3de+r7RQ+ZvLri+W8E/IIAje/PW3X80hrdDIvI7XnprRvqpOWN/t7HA60pvrDcqhMrC055bMjljx8Qn99tpZc02pcpXit+/6adBCPjO/7LutZmrfzbRvE1U8dGjxejwKc90OfJplglVNWuukwAuxREATJOswoKWw/878cbUzLEqz5bxVxKHyTPUddwCwJuP2nB6eisAsP0y76n/FdQ8P1TTKcCdKXXRMGo15K363Ynb9nz32ccH893K9i/MnbF+HZs/cNkJv8ABeWAdhye++OHn77916uBT2zZu+nDDT3+YhJ68ABAabPWQDnzRGwHR2JBHibDzcp/4YNQSUzfnnlWXgxH04qvzwszLnZURQZCKfzHUPlmNs3xsmcx7imAAAo6gbIpHlsL68hDQetRdafLrJOs+nAXwX8KwGWWqfqRrkwQAgMKCVyQBqQjaYOQlaVAr0gwkMRwouVfbg/GtNdpOoQAQuCxCW1xT303acwmGWw0kwatuxwQ2662HcQDwlzCyLo7wGgJAQOTLKn8iU0xaaVk7uzSJcVkq11EWwpdDMED4rZR0qkeewvpyK02FMOK+Jv0gyrfBaD1e5XsD3gEBMPK4wnuZw94c5g0NwmIaBjxi/wUi4AEACNT8ROxkMShVigIGNMeH2Ysqx36CAfDl4diMUkXfgHM9n79ujAkAIpapuu3mJtz5oOvsw/eIgjSgTT1SGeY+KmIBEOAOG1KQLOD2F7cafL3KETNo+aWCBdaPVtxyMbh7k5YYazPO9HtzUHHnALk1yXGtindC9uJOosqQ4/Ayl4aSgPpRH3JWV7xaTkd+5kojJCshXFPosAkbbDxZySWrgQOAh5BeDucU1kb4zxEMEP48HJ1hUt9Hur+SRHShCmmN6Gsvy1Ng+f0V1lD/2GJOo0ErgiRQGArMTTSvkISNxZDW4FFD2F0YRy/WSfgdoOjnklxWBVyA6oIYDkiNH2Lg95eYltzhUKdBYIuYYQFYzHdMrH3UI1EqKAcgST4JjnkuRLVhAXBjCyAMnmNj7ntwdrC0RP5IRE2oLC0jVVL4y8rvzmnvboEkdBs5pP22945aBZ6xlTS7Iw2KNv1hDts/WHzeBCqjRgTgAwA8uddziycN7dc6ScW4TH414G4iRIkMFp8zgUKvvuEQycB3Px0YPPRi/9mbS6oKjXDAvxtU1WPcyh1j5F+8NPrDS9XXVzyujDnRyUKTB7w2N2Pvs6/85QwRxuTZT0e3+BQAU97efeiCdyd9+zl1x9A154J8Td7THz+zrOnGyWsuTQQAABoACq46aQBMZZBjVMB68pvDTVY9aVo+r8D/NI0q1QQKzjocBKcKtr/a7a+UFp0HTJ0ya98HwW5jvyu4frUP6RTOTKmLhtGqgSqTDVLI3/LV7v12ALgwbfYdg9cNfLLlRydOBQTOiw/Gemz14N5b2t77yEujJ/86Zty3s8a88NUlb/iOvAgL7JilA3/0hu0drQ3DwTOvYMmPny37MdpesTMvd1ZGAprhJgi+o+OsQ0QDg0lZAATVB0SAu/Iqr4s+se8ayJsEMExyI4euD0SXr/AASfTjKCN+vrDac2oBGkFufLi2GogugAPuuhz+Ib2qGgIAovYrB9sVrYK4FBgXggIbCPUTTayzWi8AQNpaDG3BvzHFcrya0AgHDElY81bXCfV9q/W9bEt6yxM4IfccUnryscg3+KOTFTkBka8YFCkkihHX11rRyWIw/yGCHemR6pRBEyvp4UPLlJ5r1e9Ha4XNdaKdF6e/eNXg9TJDjCwytCuXL7IvNDorf/4K1VI4hnv3yUiZX4QwRDeP5C+N38PXiyeJKN6k5dIQ0QbEMggckUax/healdcJ75RQYROW2lkZkazq1EMA8BDay1E4xSPxFoIsPXwAlMNnjahqb8QFtgZhDRUv5jfXvIQR0hoNpwYpdqxVi0Y5kubd2EuirNWf2uDwF/IvU9ry8n9i/l8TLUfKl+0IdVJBPmpVtKI9f6J4az/qlnpLoz5ZG2YLgLIWOkCdrBezpL24CECSlqYDzzELyfI1Ieqer619ml54/+srrlCwbv37Q5YfXzJ74s6hs88JvLtlWRYAjeSXEGmKBgTFEAAAccZT2z4fa/jpgzGLjuT7JM0Hzds4OnQvhmEAkCruYE5v/wEd+tDSxU/njPnyL0+FSyIf8O8E1dwz7bNvRzIrnx8167C9skbz+CvmCJKFau99tpdaD98cG3Tjf76/t+DeF1r/5/iNg3O0K+/g+jFzuj+w4qFBaevO5VfZL6vdxDh//2jMbavVqUYV6vU1m/TfHwaeOVBIAsjlOhlLUrQna9qIJ1cErlwik/wUIlNLMIC6PAsedBSezio8nXXsoCktd+mox5r8uOwyBcDlFJ5MweqiYZRqsBRJAyiSFBjYaQAgTVfN0LeJGr/+tV6UA0YA7cj++csJv2xbO27tgTmzf9436vNrwgwvLLBjnQ4RRm/ovkJtGIKYW6MezMuZleFBGEl3H2pS8R0dZxGoXszDwCJs9chDABDA3J8nuqr+bjCJ3XjELqQabGXnCCTe0BALKl8s0yhl9v9q/RYE0Xt1o5w8vaqNXyT3oG75YxZVsd5ZWDnhyAesDZd5WUA47hTYa0rTPJmkg0fe1a2d4NTkaEvXKoOR+DISVwql6rJQmCz6vNIfMCnuoFwHgsq2DLlTHqyRmLXCRqAsXn9xqhHGyyj5vaFsf/kzrShlr9RE6tM+42J3p1j24iwoXb959G9YEu6VFX9X/lA6Ry9h8GhYHslRVlqBWRm2qeqnkKi1CpGVjSIAeODwcjROYdnICh2Es0Y0tReNvMBWJayh/mnFvCoYI9Ky4MBpptYL4hvtvIQR0hoNqwaTry6brULVNIogrN5hHOsNXKzypT2Pvy5rSzcTDInSVoypmi8Oqesiorvbh2cRRHuKOSuL6MpbnTA3SnTJiePFeNthHVQIAADepFfvZvT5ny76eZuwxJa3q3yF2Zby5RlVknWsAHQtdIK3V/yXjlyGtF73pUY3ApHRvR3kfbDky2+Pnj115uTBbK6nCGsTvPrjor5D3znSdvLPq5/rVPnOqjoM2GDgTYcv3vIc9vHof8+stpzg8VfMESSLsX8/Zfhdgx6v+Mtc+hfA6SWj73svp/b3w2jlj5TUHqZ2E0s6Cq8W2Zs8/s7juov//fJPDwBgSo2ECdAsUNZLZ08VeRmWCdAIoYrZkQ6WYVlA8IpdKy6n8GRKbDSMTA3WdSm7BJo+0F5d/uifvOm/UqDsdGmI30GNbMDI9fOe3Xe8BE1pqxdcHCIINjzpgRcmzX6iXZVXD8Y6HSKJ3hBqQAxsWI2YW6O+zBsqK8MjDShas9QxWSTfPgEAY5YEgSJur3zXsZSUpgBTcON5dQBgThkK3tD7A1V7EUGgJSkIVSIKXv+rumEfSg3GTASBkraO8i1rIopIgeBejeuUhCwSBy6KIg8B1iazLTfaLpGaiSbV9Uff6zBgaPPSKOUFNIni3IGnsMAJlfWTlKKVSraNXdsysq08PlciQAMiDfVCaRZhKUDkvO+alpHS1OpejjJsAAA8hPM4hnd3ye5yEqzUeaLmFkjtsBEoi99fXGqE8zJTLPFfIPwXCH+u+PoTCogiKJIiVHHFYop1SgJWwAwMwtsrkiSKal6sXUx6QdLNj3Fey0IEgLCsDN90ndphE0mw1aZxBAAPIb0cgVMqkQSlKcBcE0d0VoLXGlHV3vAFNqS/whrqH1XMq4OkuhVGxH803APkjWpewghpjYZXg0UYO075KMUQN2ZW3PhRVS4Nyzv58OA1UdBcff0PAAzm+0XKNHXJb/fJjajvD7GAb9EqCgoiNTRtrhUp0lUiIJKbt2gnchfnF1iC4Mv5avlfwxe/+9aF+VvOKHvPmNqi7Jsx35sYAJ4m5tofRwpfy3x3+mOvbswqFTd7dOLzrQN/vZvn45fFDV3w/Ucbxq2cv/4d+bJvfi+FFm001d8IEJpAwYk8eOWlccMvbj5dHBA1+ZcGwBKxaVj32U2ZI5jN26Z9/565x/idV6g6DtggyDvPeLWrb9eb26yGNq0MAAAQtFy9UuxjeVwZcwTJoh0FeTfOyKiauACwoovnS3wsAKJoP+GlO22nz191I/qWfcZOvkt0/qPvi4LA2wSotEnLFrel39btnkEvD+8iOfTe/SvPeQEAFaulKGWpcoKApYM0IlMTgt+1gSf1njw85UrOlVI/qr/97lemdBWdW7mzMAjA4xSKM1PQBGEaClKD9Z3buurCiFlzZ03wrTkQbDtxbm/8+KKNl0jBA/JoKEp9cNErzc4eOJ5d4kW1LQaPG2L0HPyt1s8LRE7YYFPcMXHttIEq6OM7+viSS8EIe0UJX/TyqCHMhjzE3BqxNy9XVoYHzXATYtwZ+Q9f2+SOP52Jg00JiNprYSS97XKp2P6LOMyXWDaZ/bDDMKDUoFS7c0Q0MHgSQx5WkJUbGKHVsMkcfzoSHy7TizXufAwMZI0fkQ4NhQdMoO7pUJgUAQeCaINoVOeQAmLX50nwQol2jJl+V++xInUZMPS8GMx/QgyP2BIeAPclDIxV5oUwxIN2wkX4C3GGYUStSBQQ2hvRbTOfK2mULEOQNk7VnRBgacwtdZ+vrHoMRhaiyB0O9V3gJ2nML/WcrfgiBUnwE62BkQZl99rlRIWXw8viBCH3K4I9HLqHgT6U5AtzkCeyeYUkjL841BDkZdZB+O125VC7Yrsi4GRFHR0qIxL4WRSmI3cSCZxXQOLYRcgeMxtfVDmPSYIeQOTVvRwyAIRlZbgmnrDhCTYeGnMA8BHOKchtTnVv2m8DcXe7QoE7f5VEIi76is3t5bAFNqS/whnqn1XMy5uMpNgHeLpX9ZAby9eY/gp319uY5sWJiBbpGZBQKAaIOihKYRkHTnkqH4AKaQ1+NXgHFKAGoiXFiZQowy/v5ZZghG2Fmqzypb2gixQweSq3tUT1lB3xym3RvKTjOhVbAJIO49f8OiKh/D/GfLJpDOTP7P/40nwKqKufvDJWueCNScs+UFCWo9vnPvhW5RuhuZu8p1c+8h9k6fhJO4fLAYKlOb/NGr1ocykTRhbPRO2HJjw25drMsS8tXPY6CuA3nzt8siRcSgby1j0+Wb18wksbB6tFAJTXln98f6ivNjnx5W1+5uWMP9bP/erf5/p9lOur84D1jTi58/9pQDdowd4b55Ht60Y8OOa4j8+VMSfWslCp1tjh4SmjJ+hFAJ5rf+x5/6HFX54lwzSBpOW0L9aOUlrPn/pz7WtPf7Aj21q+w4YQagnCBKu+PIMmaVRah1MAqDQho8eICWObJuDAugp/3710wDubyh984XEKZ6ZgAjUUpgaQF5eOniidP2XaZ+sXgOf8TysfnrmlPCMFDsijIcYG9D3/s/iFNDkC4Mk/umviM8t21X4fZ+SECzb/1UO/mgYMtB04bKIi7xVzQqohzIZ8xNwaMR+QKyvDgTCS7n6kLJqj4yzq25Jk9lo1D5rlYqAL5LYVWlfY5+VY1L/NWGaxa3rZdXezAAhdKLMdr1xscKnBor7NSSaHTdPLkvgAACB0CRFwhpNFiZyr9ehwu3qUB8UAGISxSPxhe1UlKHKtSxS9VqZ73kW+rwoGhQ7IaV6E2q83q62afpbEAQBslXkhLILS0gfMKjkAAGsXe79NtOXXRVY5aGBHgkdvUz1tgiDu3y3x3PiBZSSwK8GVZFVmmpQU5v9R4jmLAYtSeRKqs1P/shMAofPl1uUa93UvCwgbAABgSxWOs079v0TO38ItdyOdVyjCBUBoNYSFDSm2f6yDxxyaV9woAOsU+75LtIZ9xbSwJOLTEKEOJZa4Her7PJpnnAgAeHH/r+IqXg4VAMKykqeJP2wAQgcbP408AHhVD+MUliYesCjlwJoJ52qdo7DuaR4KHi+HL7Ch/MVvqH9aMadQyoLIHikzAjBWsf83vfkXGRV2BdN45sUNkuowTHJX5Gdvk7E3BHemlPyCs8BjDT41+AYUogYr7m9K6s7QpeLA77qSvXKy6sFHoRcpCIpdPxLKJ/3Urwqy9pG0CEA6yW4X0i9OnDhx4sRpMOS+xDkmfE9yyU+i+tyquUnUiDkNOa/GJksc0M0plRxILv6hbvo0pKw4VeGx/K0abA0GFlRNK1aXGYpWE9Ht1Df+Utn4NRTGrTovYTR+a9RBQ6SpLXl8wLUoyWWOYvtg1ROp5f+IxXvQ48SJEydOnPoEvc1NiESOKE/K3apqxJyGnFfjkMXiXe1KpShQiqKtnTIZ5jlXV30aUlacqvBE1K0abI2fxl8qG7+GwrhV5yWMxm8NIRoSQXESiygCyuFu+N3gsQg8QxHfAogTJ06cOI0bhCG6+5FStS+are5bVo2Y05DzaiSyEBZV0UQft1LJglfk3aG3R/Ua6r9XVpyq8Fn+Fg22xk/jL5WNX0Nh3JLzEpHaGSVKdYiWwPq00hPcz8fG1hqC1eBBkIZoE2fiWA/GYIHfE8p2hPtBRx7h8QcB4sSJEydOnDhx4sSJEydO4wJhsaQgFurFUYxZTAn95aSbVY06E38QIE6cOHHixIkTJ06cOHHiNFZYhC4R1/tL+24WNWJHrF6D3qCg2i4j3p6R2Y4AAEA1XcbNeH1cK0msRscM/Zav/2zxHdJYDRgnTpw4ceoJhJH0sWn7BBvXqUdZQDnYpkxhAepBQ5SWDS8zDAk0rin/XSCMpLdN27uRBUCcRk48bG5qqhbYhpR1qxbzW3VecXi5KbcAMH3XxydkdkvGAQDwhC6jnx3c2xCz8wyYIqNP9/YZspvSNHHixIlzq4Pebklbfk1Tfk+G0pK7XYoWdMPfalRTozqIIqC4x02o60dDhMFb+CU6tp6mzDOv+pWldRuXX01ffjV9+dW0kf7as8PaW1KXFhp6UtWaUFrS06VoGd68oeeFMNInr6UvKlMaYjnfhpR16xAuACKBJ3pr1g3esAkdbHVU458aADEvKdUKLADUk79qy7pVi/nNNi9hNOSlTRgNrGHVdS4q7/Tch8UXtk3JqLacxnRdX/9ke3Fulidnz29vPdpaikTQhChaPLxs4y5zbpYn9+DJLyYPaSKu7KPtMXL2T78ddOdmec7s3rf4ic7K+GI7dvCal8eVsVekLrJQ1d1Tv3LmZu15UH29m7TDtLzcLM/1vyMz7pKGbUJV7Ud8tv0XZ26WJ3v3rwuGtJVVjIcZhx7IzTr+76YiAAB573f2ef5a1EdWhwkT6cNfW37k96Oe3CzPqR9+XjC0vbxSdz6ncGaKQA0FqlH+AVWHh15a/eW2/NPHC1d0U9R9wNAg8tsHLf1yZ0lulif3ROn+TZvGdNLUrQYIC7b6SodQ0cutROzrYcytIdxQHNeUytZoDFUVRnyXD7XIPGV/791FI1Ej5jTkvKrLcsrMi5OL30t02UJ+mEUSghjKiJKiezdZaFnXQRg8mQIiKJILGvXvlxUNkqD8sdKUd66mL7+a9maZpqPA9VJ9ESYAIoEneqMK7Jso2Bo/DVBS6sdfNz3V56X06mcWVGyxzSrRD/DioR5rv3lB01yGt68m9+Mqa1F7OdyA0fQiSOVTJalLr6YvL0idZFUkh1zkV9cQpeWji5pc3xV9o0zbNYjGNEIrbsxEhs4PTZ08dlx3PUB+9Q+kv/zJRzObHVk4dfkZVZ+ZM+b8gJd2fuOIneVrQlTdlm2cN+jcqhdH7C1QdBwzZ9qG1d7/e/jTHBLEGUOWjG2bu/6dzDM2edvBb01+fTt5od3MLE8sZ/XPhc+8PK6MOXWRhci6vLxy+0hDjQduMKlKxp6f8fSsPQ4WANig/ZI/TBNmeOCLDdPuPrnqucyD5pR7Z86ftVtm6Th1v4UBka5ZIkDaw72arLlySdwqs5cKpCnpChS8wi4gABSNE6ad778+qyiY2GnInAkzt3rOdVqY4+N1Ck+mCNRQkBoAgMhaj1/54cyMs+s3rRv/0eWCooveug3IibTDW+vmj3bumD527jErntrmzi5+u0+o1QGEBls9pQNH9HIR+3oYc2sINBT3NaWcKA1VFYKUt2OoA3KKir5vDGkkasSchpxXDVk0ShWjgAEdDPlphDpguHaRZosFvd6Za14M7vowJaBFgiWxu7dqSFmRgzDEY6W69mLHhiSfjZH0sWlHmdjFRkdxo1n2hAmACOCJ3ugC++YJtsZPQ5SU+vHXzU6NeeEMrmPJHQbbVRbP8KoGmJNbaks+VgYFp1ujAVEG5Pc51H38GADnbKLxckQDRt4LpeUjS7W3SRzrk3weSjbQmjCeoRfofTXu9GpqyKJ6GrmiLdsqYUS0uKNT+2QJTqWYTmARaxSG8i0AosWkRWN7nPoyc1qXzxanV22Xtsmc3Mm7ZfT0hfudLBzOlnY4OfXFh5b+ubGM4Wtq3vc+bfGaRWu+ziEBzr66uN/wFT3aK1flWFgyb+29PdcGgwwAwP6TgW69N9zZMRnPygvjE1TZZti781/K7KDDfMXZZj1AQZVWyYClu+walYhxZO9ZO+nN9Ycd5UsKvOljS76f0SdDjgJ4Lh7ePnv6yq+LSADADPe+8964R9o3S5ajwDiy96ybOnPdAVuthQieNGzxhvV9z08YOmVNPskzIABq6DFy1qj77unYvIlWigNQJT9lPvz6rnpZYXPCY14ef8VcjTrIQpPun7lltG/OqHcH/29htUMqMi3hKzyZfeFMreURRxNq6JU5QHZ28hufbi9iALKfl3U9N3fUwLcPbihjRLp0+ZW9x/QP9Dd+td4wsJf74BGkaUsdDmWkwDlTRV/NW1Dx78MXZPfds7xThhLJ8bG8TuHOFIEaClIDEEXP15e9hnzcY8DW3EAsBuRGZOzSx+D77rUlKw95AACOHdkWhZVDICzY6icdOKOXC6H1kJOw88IKDb71AAAgAElEQVSTH1y7df5A28ZHMpcdcrFhewk0FPc1BQAEGKpq33S3VIq7sqq9RBdpY055j0ExYIplzi0JzkuVg4oo2QCrpqcflyD0FZnza63rMgoASKojcbSTSGBZC+HNZ4nOAdQpdXyucxagAAAYTfS1afp4xQpg7RLPDwm2P0UsG04NglQMtarvJDEUoYoxDKCqF7k0RBLc+rF2qY4BAMZMeHYm2MvfD4zS0qEWTXtSpGYAgCmWObclOPNqG4vFOluNz/rIzUbzYZzlGRAAlH7Vgy5Zy4BIyyAoAIN51ySbs6uNWXNeIlIzvUSek3Rti4QFQAxO43QH9Wmq6SwKACALKIfZVB1JDAegUeqSyrRKVXFDKUAWD1q3cba1/IQUc8JQtJ6o0QVpbk+aFxSpWNZMuL7WObKxGh8IIUvtNs61Vp5PBHq/8dp2MQuAdixLHRV0v5diKyhfpzHS54sS05Qlb2uCBt6wiV4WcPuLRw0yyOtlLkRBWWuGOqRxnhSzAOR2VtrFTKQwjuJwN5QcSQTA52U+DREWb+vU3O+RNqUQANYj8m41WLLCqSEsK3mbQocNT7BFlpWNNAD44XIKSkuHmrWdSVzOAiDUJbnza427IIqqXcMawmsvV4HlLQ6RGOqfUszLTVQiDuShgTypLw81TrRrO8rKjmE317xqjy/qa1U3F7s+10mesnA9FV7bGtxqRDRgFGoo/Yo2LLk1wfEXDiAhzSwx26pqS/v+rFb0QvqL9eJkgZgBIK+I0FbXNN0DaJaMUXmS5liwH5OLd4tYAEApxZRrCZSu6H05HU0VKDerP+fNAf17/Wf9ryU1VheYscsdydSZbeeM07/9/eon/ZnD+y5jrfrfRvA2AWnOK2STB/ZvoUAAUFXHns2QK0dz3OWKMRX3uwCAaTMSMc/lfEu4b4Iww/1rNk1/QrR32rgJT877OjtY81pxadeKZ18Y+8TsH4N9J26d011TscNKW7K+mTPllX7DRg4Y/8X51s98+cHQZhgAAKa47d5uza1fzRo2atzT8/cw/SZseau3rkaQidNGLFm3ts/5V0f85/N8kn9AAFHqPSNG9cR2r5ib+dyLA54d/+yC/51w1akiC4LLvHz+ijXCZYnSBq9Z2Gn3lGmr8gI1Lu0qowb3+xQGnaKm87maUJlWBoy71F1uEMacfaoYTe+aKgZA5foEsePY6j/1j/dq0n5QV+eO3WdJeaoqFr8ogata9X3yhZaBQztP2SrmwBnz3JlSZw2jUQNNvOfN4UbWMOL7P455zu4/uXbKsHRxXQbkgbLmZrulvZ645zYiJt+DCAu2ekkH7ujlQYgNuQk/LyK9Zz8DSrTqdXciHkEvoYbivKYACDRUJYy4ux81y72m6uFjltnXJZatSfDQPs2LVmn5EzMIIx1equ9LB3bpyz5L8JA+7YQyVRILAIiKlGhF9o+TrFdJeUdwrU50WPya4V4cBUAYyZBSw/1UYFdi6YpE22lWnlmmvZ0JowZKy54uS7gDfN/oTZ9rPcVIzfAOqSEA65G4v9OVvW8sWal3lpDK58wKXYXyopZ+kVdhWWUwfaH1Ml7Ni1ZpzfPDLH6n1TjSF9yeZP694r6Bc0AARONTdvdBjtqyxlC20mBap3XVvJXnMG9oWMmjJm1b1L3RULo0qXRNgvOYhK4M3hjLcsjMbycXv5PosnJ8AEH9P+tMn+mcZUHVi2XqtBqBFUqWS2Z+O7l4UXLxu3qPu8pH8+UkQ0vbVh7jlJCy21n6jCwY5A0bQbKA2188avD04oPCgnbA2/pEEgAANNUvAjxQEm4tx51EwOtlbg1ZvKvZ+IJD4pHZNySWfZJo2aH0hV1SCsvKsE0hw4Yn2CLKysYaAHxwOwVhRC0DuF1p/sRQ9oXGL/IkTDIpEyMv3DWtIbD28hRY3uIQgaH+ocWcuap0l7KSroEbZ8tvjnnVBiF3JBe9p3Oer7nzy28NbjUiGTAKNRARjQIwzsqJuMUBB+DNajxfEO6CyAJDVa7aXRJvEeDtAlj5fxJBqRGCpyVMlDdUlTeBLBuyI56QpgbHaROjzkgldLhR4ii0gDxVJ0aA5m7yUkU7Xp7f/ftZG7Lv3rPb1npYx+zJT60+U+PbRUR+x0tvzUg/NWfs77YwWuNNHxr9kOz0hJcXrrnGABzJ0Q98fHzVDwQu/PzDtwc8AMeLW/Td/+iA9sShAz4AYN0X92+9CAAAp3KuGvo/+EbP1rL/XnZV9Lp8eO+PBz1w8NiVZr0PDBvQjti7r+L0M6CqtpM+e3de+r7RQ+ZvLrh+F8s/IIAje/PW3X80hrdD1jQvjyu9sd6oECoLT3tuyeSMHROf3G+nlTXblCpfKX7/pp8GIeA7/8u612au/tlE8zZRxUePFqPDpzzT5cinWSZU1ay5TgK4FEcAME2yCgtaDv/vxBtTM8eqPFvGX0kcJs9Q13ELAG8+asPp6a0AwPbLvKf+V1Dz/FCtmOfOlLpoGLUa8lb97sRte7777OOD+W5l+xfmzli/js0fuOyEX+CAPLCOwxNf/PDz9986dfCpbRs3fbjhpz9MQk9eAAgNtnpIB77ojYBobMijRNh5uU98MGqJqZtzz6rLwQh68dV5fjU5ril1NRRBKv7FUPtkNc7ysWUy7ymCAQg4grIpHlkK68tDQOtRd6XJr5Os+3AWwH8Jw2aUqfqRrk0SAAAKC16RBKQiaIORl6RBrUgzkMRwoORebQ/Gt9ZoO4UCQOCyCG1xTX03ac8lGG41kASvuh0T2Ky3HsYBwF/CyLo4wmsIAAGRL6v8iUwxaaVl7ezSJMZlqVxHWQhfDsEA4bdS0qkeeQrry628P0AYcV+TfhDl22C0Hq/yvQHvgAAYeVzhvcxxk8Fh3tAgLKZhwCP2XyACHgCAQM1PxE4Wg1KlKGBAc3yYvahy7CcYAF8ejs0oVfQNONfz+evGmAAgYpmq225uwp0Pus4+fI8oSAPa1COVYe6jIhYAAe6wIQXJAm5/cavB16scMYOWXypYYP1oRSoyuHuTlhhrM870e3NQcecAuTXJca2Kd0L24k6iypDj8DKXhpKA+lEfclZXvFpOR37mSiMkKyFcU+iwCRtsPFnJJauBA4CHkF4O5xTWRvjPEQwQ/jwcnWFS30e6v5JEdKEKaY3oay/LU2D5/RXWUP/YYk6jQSuCJFAYCsxNNK+QhI3FkNbgUUPYXRhHL9ZJ+B2g6OeSXFYFXIDqghgOSI0fYuD3l5iW3OFQp0Fgi5hhAVjMd0ysfdQjUSooByBJPgmOeS5EtWEBcGMLIAyeY2Pue3B2sLRE/khETagsLSNVUvjLyu/Oae9ugSR0Gzmk/bb3jlqvlxZU1WPcyh1j5F+8NPrDS2EXAJJmd6RB0aY/zGGvF8Hi8yZQGTUiAB8A4Mm9nls8aWi/1kkqxmXyqwF3EyFKZLD4nAkUevUNh0gGvvvpwOChF/vP3lxSVWiEA/7d8JiXx5UxJzpZaPKA1+Zm7H32lb+cIcKYPPvp6BafAmDK27sPXfDupG8/p+4YuuZckK/Je/rjZ5Y13Th5zaWJAABAA0DBVScNgKkMcowKWE9+c7jJqidNy+cV+J+mUaWaQMFZh4PgVMH2V7v9ldKi84CpU2bt+yDYbex3Bdev9iGdwpkpddEwWjVQZbJBCvlbvtq93w4AF6bNvmPwuoFPtvzoxKmAwHnxwViPrR7ce0vbex95afTkX8eM+3bWmBe+uuQN35EXYYEds3Tgj96wvaO1YTh45hUs+fGzZT9G26uRGArQDDdB8B0dZx0iGhhMygIgqD4gAtyVV3ld9Il910DeJIBhkhs5dH0gunyFB0iiH0cZ8fOF1Z5fCNAIcuPDtdVAdAEccNfl8A/pVdUQABC1XznYrmgVxKXAuBAU2ECon2hindV6AQDS1mJoC/6NKZbj1YRGOGBIwpq3uk6o71ut72Vb0luewAm555DSk49xbfzUVVbkBES+YlCkkChGXF9rRSeLwfyHCHakR6pTBk2spIcPLVN6rlW/H60VNteJdl6c/uJVg9fLDDGyyNCuXL7IvtDorPz5K1RL4Rju3ScjZX4RwhDdPJK/NH4PXy+eJKJ4jytxaYhoA2IZBI5Io1j/C83K64R3SqiwCUvtrIxIVnXqIQB4CO3lKJzikXgLQZYePgDK4bNGVLU34gJbg7CGihfzm2tewghpjYZTgxQ71qpFoxxJ827sJVHW6k9tcPgL+ZcpbXn5PzH/r4mWI+XLdoQ6qSAftSpa0Z4/Uby1H3VLvaVRn6wNswVAWQsdoE7Wi1nSXlwEIElL04HnmIVk+ZoQdc/X1j5NL7z/9RVXKFi3/v0hy48vmT1x59DZ50gAAFRzz7TPvh3JrHx+1KzD9kiqLcuyAGgkv4RIUzQgKIYAAIgzntr2+VjDTx+MWXQk3ydpPmjextGhezEMA4BUcQdzevsP6NCHli5+OmfMl395KlwS+YB/J6HNy+OvmCNIFqq999leaj18c2zQjf/5/t6Ce19o/Z/jNw7O0a68g+vHzOn+wIqHBqWtO5dfZb+sdhPj/P2jMbetVqcaVajX12zSf38YeOZAIQkgl+tkLEnRnqxpI55cEbhyiUzyU4hMLcEA6vIseNBReDqr8HTWsYOmtNylox5r8uOyyxQAl1N4MgWri4ZRqsFSJA2gSFJgYKcBgDRdNUPfJmr8+td6UQ4YAbQj++cvJ/yybe24tQfmzP5536jPrwkzvLDAjnU6RBi9ofsKtWEIYm6NxmQoAISRdPehJhXf0XEWgerFPAwswlaPPAQAAcz9eaKr6u8Gk9iNR+xCqsFWdo5A4g0NsaDyxTKNUmb/r9ZvQRC9VzfKydOr2vhFcg/qlj9mURXrnYWVE458wNpwmZcFhONOgb2mNM2TSTp45F3d2glOTY62dK0yGMkmViSuFErVZaEwWfR5pT9gUtxBuQ4ElW0Zcqc8WCMxa4WNQFm8/uJUI4yXUfJ7Q9n+8mdaUcpeqYnUp33Gxe5OsezFWVC6fvPo37Ak3Csr/q78oXSOXsLg0bA8kqMsIAKzMmxT1U8hUWsVIisbRQDwwOHlaJzCspEVOghnjWhqLxp5ga1KWEP904p5VTBGpGXBgdNMrRfEN9p5CSOkNRpWDSZfXTZbhappFEFYvcM41hu4WOVLex5/XdaWbiYYEqWtGFM1XxxS10VEd7cPzyKI9hRzVhbRlbc6YW6U6JITx4vxtsM6qBAAALxJr97N6PM/XfTzNmGJLW9X+QqzLeXLM6ok61gB6FroyrdX8KbDF295Dvt49L9nRnq/67905DKk9bovNboNGiKjezvI+2DJl98ePXvqzMmD2VxPEdYmePXHRX2HvnOk7eSfVz/XqfJNcnUYsMHgMi+Pv2KOIFmM/fspw+8a9HjFX+bSvwBOLxl933s5tb8fRit/pKT2MLWbWNJReLXI3uTxdx7XXfzvl396AABTaiRMgGaBsl46e6rIy7BMgEYIVcyOdLAMywKCV+xacTmFJ1Nio2FkarCuS9kl0PSB9uryR//kTf+VAmWnS0P8DmpkA0aun/fsvuMlaEpbveC91wiCDU964IVJs59oV+XVg7FOh0iiN4QaEAMbViPm1hA2IDfRpHltpAFFa5Y6Jovk2ycAYMySIFDE7ZXvOpaS0hRgCm48rw4AzClDwRt6f6BqLyIItCQFoUpEwet/VTfsQ6nBmIkgUNLWUb5lTUQRKRDcq3GdkpBF4sBFUeQhwNpktuVG2yVSM9Gkuv7oex0GDG1eGqW8gCZRnDvwFBY4obJ+klK0Usm2sWtbRraVx+dKBGhApKFeKM0iLAWInPdd0zJSmlrdy1GGDQCAh3Aex/DuLtldToKVOk/U3AKpHTYCZfH7i0uNcF5miiX+C4T/AuHPFV9/QgFRBEVShCquWEyxTknACpiBQXh7RZJEUc2LtYtJL0i6+THOghEiAIRlZfim69QOm0iCrTaNIwB4COnlCJxSiSQoTQHmmjiisxK81oiq9oYvsCH9FdZQ/6hiXh0k1a0wIv6j4R4gb1TzEkZIazS8GizC2HHKRymGuDGz4saPqnJpWN7JhweviYLm6ut/AGAw3y9SpqlLfrtPbkR9f4gFfItWUVAQqaFpc61Ika4SAZHcvEU7kbs4v8ASBF/OV8v/Gr743bcuzN9yRtl7xtQWZd+M+d7EAPA0Mdf+OFL4Wua70x97dWNWqbjZoxOfbx346908HwCAvPOMV7v6dr25zWpo08oAAABBy9UrxT6eIKQLvv9ow7iV89e/I1/2ze+l0KKNpvobAUITKDiRB6+8NG74xc2niwOiJv/SAFgiNg3rPrspcwSzedu0798z9xi/8wpVxwEbBG7z8rgy5giSRTsK8m6ckVE1cQFgRRfPl/hYAETRfsJLd9pOn7/qRvQt+4ydfJfo/EffFwWBtwlQaZOWLW5Lv63bPYNeHt5Fcui9+1ee8wIAKlZLUcpS5QQBSwdpRKYmBL9rA0/qPXl4ypWcK6V+VH/73a9M6So6t3JnYRCAxykUZ6agCcI0FKQG6zu3ddWFEbPmzprgW3Mg2Hbi3N748UUbL5GCB+TRUJT64KJXmp09cDy7xItqWwweN8ToOfhbrZ8XiJywwaa4Y+LaaQNV0Md39PEll4IR9ooSvujlUUOYDXmIuTWEDch9TQlvKG7QDDchxp2R//C1Te7405k42JSAqL0WRtLbLpeK7b+Iw3yJZZPZDzsMA0oNSrU7R0QDgycx5GEFWbntEVoNm8zxpyPx4TK9WOPOx8BA1vgR6dBQeMAE6p4OhUkRcCCINohGdQ4pIHZ9ngQvlGjHmOl39R4rUpcBQ8+LwfwnxPCILeEBcF/CwFhlXghDPGgnXIS/EGcYRtSKRAGhvRHdNvO5kkbJMgRp41TdCQGWxtxS9/nKqsdgZCGK3OFQ3wV+ksb8Us/Zii9SkAQ/0RoYaVB2r11OVHg5vCxOEHK/ItjDoXsY6ENJvrDnUwTLCuMvDjUEeZl1EH67XTnUrtiuCDhZUUeHyogEfhaF6cidRALnFZA4dhGyx8zGF1XOY5KgBxB5dS+HDABhWRmuiSdseIKNh8YcAHyEcwpym1Pdm/bbQNzdrlDgzl8lkYiLvmJzezlsgQ3pr3CG+mcV8/ImIyn2AZ7uVT3kxvI1pr/C3fU2pnlxIqJFegYkFIoBog6KUljGgVOeygegQlqDXw3eAQWogWhJcSIlyvDLe7klGGFboSarfGkv6CIFTJ7KbS1RPWVHvHJbNC/puE7FFoCkw/g1v45IKP+PMZ9sGgP5M/s/vjSfAurqJ6+MVS54Y9KyDxSU5ej2uQ++VflGaO4m7+mVj/wHWTp+0s7hcoBgac5vs0Yv2lzKAIA4ufP/aUA3aMHeG+dA7etGPDjmON9v6DH2QxMem3Jt5tiXFi57HQXwm88dPlkSLiUDeesen6xePuGljYPVIgDKa8s/vj/UV5uc+PI2P/Nyxh/r537173P9Psr11XnA+obPvDyujDmxloVKtcYOD08ZPUEvAvBc+2PP+w8t/vIsGaYJJC2nfbF2lNJ6/tSfa197+oMd2dbyHTaEUEsQJlj15Rk0SaPSOpwCQKUJGT1GTBjbNAEH1lX4++6lA97ZVP7gC49TODMFE6ihMDWAvLh09ETp/CnTPlu/ADznf1r58Mwt5c9YCByQR0OMDeh7/mfxC2lyBMCTf3TXxGeW7ar9Ps7ICRds/quHfjUNGGg7cNhERd4r5oRUQ5gN+Yi5NYQNyHNNEQrCSLr7kbJojo6zqG9Lktlr1TxolouBLpDbVmhdYZ+XY1H/NmOZxa7pZdfdzQIgdKHMdrxyscGlBov6NieZHDZNL0viAwCA0CVEwBlOFiVyrtajw+3qUR4UA2AQxiLxh+1VlaDItS5R9FqZ7nkX+b4qGBQ6IKd5EWq/3qy2avpZEgcAsFXmhbAISksfMKvkAACsXez9NtGWXxdZ5aCBHQkevU31tAmCuH+3xHPjB5aRwK4EV5JVmWlSUpj/R4nnLAYsSuVJqM5O/ctOAITOl1uXa9zXvSwgbAAAgC1VOM469f8SOX8Lt9yNdF6hCBcAodUQFjak2P6xDh5zaF5xowCsU+z7LtEa9hXTwpKIT0OEOpRY4nao7/NonnEiAODF/b+Kq3g5VAAIy0qeJv6wAQgdbPw08gDgVT2MU1iaeMCilANrJpyrdY7Cuqd5KHi8HL7AhvIXv6H+acWcQikLInukzAjAWMX+3/TmX2RU2BVM45kXN0iqwzDJXZGfvU3G3hDcmVLyC84CjzX41OAbUIgarLi/Kak7Q5eKA7/rSvbKyapvMBd6kYKg2PUjoXzST/2qIGsfSYsApJPsdiH94sSJEydOnAZD7kucY8L3JJf8JKrPrZqbRI2Y05DzamyyxAHdnFLJgeTiH+qmT0PKilMVHsvfqsHWYGBB1bRidZmhaDUR3U594y+VjV9DYdyq8xJG47dGHTREmtqSxwdci5Jc5ii2D1Y9kVr+j1i8Bz1OnDhx4sSpT9Db3IRI5IjypNytqkbMach5NQ5ZLN7VrlSKAqUo2topk2Gec3XVpyFlxakKT0TdqsHW+Gn8pbLxayiMW3Vewmj81hCiIREUJ7GIIqAc7obfDR6LwDMU8S2AOHHixInTuEEYorsfKVX7otnqvmXViDkNOa9GIgthURVN9HErlSx4Rd4dentUr6H+e2XFqQqf5W/RYGv8NP5S2fg1FMYtOS8RqZ1RolSHaAmsTys9wf18bGytIVgNHgRpiDZxJo71YAwW+D2hbEe4H3TkER5/ECBOnDhx4sSJEydOnDhx4jQuEBZLCmKhXhzFmMWU0F9OulnVqDPxBwHixIkTJ06cOHHixIkTJ05jhUXoEnG9v7TvZlEjdsTqNegNCqrtMuLtGZntCAAAVNNl3IzXx7WSxGp0zNBv+frPFt8hjdWAceLEiROnnkAYSR+btk+wcZ16lAWUg23KFBagHjREadnwMsOQQOOa8t8Fwkh627S9G1kAxGnkxMPmpqZqgW1IWbdqMb9V5xWHl5tyCwDTd318Qma3ZBwAAE/oMvrZwb0NMTvPgCky+nRvnyG7KU0TJ06cOLc66O2WtOXXNOX3ZCgtudulaEE3/K1GNTWqgygCinvchLp+NEQYvIVfomPraco886pfWVq3cfnV9OVX05dfTRvprz07rL0ldWmhoSdVrQmlJT1dipbhzRt6XggjffJa+qIypSGW821IWbcO4QIgEniit2bd4A2b0MFWRzX+qQEQ85JSrcACQD35q7asW7WY32zzEkZDXtqE0cAaVl3novJOz31YfGHblIxqy2lM1/X1T7YX52Z5cvb89tajraVIBE2IosXDyzbuMudmeXIPnvxi8pAm4ooWIn34a8uP/H7Uk5vlOfXDzwuGtpc3qhC5ycG0PUbO/um3g+7cLM+Z3fsWP9FZecPHPK6MvSJ1kYWq7p76lTM3a8+D6uvdpB2m5eVmea7/HZlxlzRsE6pqP+Kz7b84c7M82bt/XTCkraxiPMw49EBu1vF/NxUBAMh7v7PP89eiPrI6TJgnsPmcwpkpAjUUqEb5B1QdHnpp9Zfb8k8fL1zRTVH3AUODyG8ftPTLnSW5WZ7cE6X7N20a00lTtw03YcFWX+kQKnq5lRBmQ94hY22NRjLgDRjxXT7UIvOU/b2XjkaiRsxpyHlVl+WUmRcnF7+X6LKF/DCLJAQxlBElRfdustCyroMweDIFRFAkFzTq3y8rGiRB+WOlKe9cTV9+Ne3NMk1Hgeul+iJMAEQCT/RGFdg3UbA1fhqgpNSPv256qs9L6dXPLKjYYptVoh/gxUM91n7zgqa5DG9fTe7HVdai9nK4AaPpRZDKp0pSl15NX16QOsmqSA65yK+uIUrLRxc1ub4r+kaZtmsQjWmEViz2RYbOD02dPHZcdz1AfvUPpL/8yUczmx1ZOHX5GVWfmTPm/ICXdn7jiJ3la0JU3ZZtnDfo3KoXR+wtUHQcM2fahtXe/3v40xwSgKJxwrTz/ddnFQUTOw2ZM2HmVs+5Tgtzbp7fUWjUiDOGLBnbNnf9O5lnbPK2g9+a/Pp28kK7mVke4HVlzKmLLETW5eWV20caajxwg0lVMvb8jKdn7XGwAMAG7Zf8YZowwwNfbJh298lVz2UeNKfcO3P+rN0yS8ep+y0MiHTNEgHSHu7VZM2VS+JWmb1UIE1JV6DgFXYB4QtsHqfwZIpADQWpAQCIrPX4lR/OzDi7ftO68R9dLii66K3bgJxIO7y1bv5o547pY+ces+Kpbe7s4rf7hFodQGiw1VM6cEQvFwJtyEPMrdFIBqwCQcrbMdQBOUVF2qNeaCRqxJyGnFcNWTRKFaOAAR0M+WmEOmC4dpFmiwW93plrXgzu+jAloEWCJbG7t2pIWZGDMMRjpbr2YseGJJ+NkfSxaUeZ2MVGR3GjWfaECYAI4Ine6AL75gm2xk9DlJT68dfNTo154QyuY8kdBttVFs/wqgaYk1tqSz5WBgWnW6MBUQbk9znUffwYAOdsovFyRANG3gul5SNLtbdJHOuTfB5KNtCaMJ6hF+h9Ne70amrIonoauaIt2yphRLS4o1P7ZAlOpZhOYBFrFIbyLQCixaRFY3uc+jJzWpfPFqdXbZe2yZzcybtl9PSF+50sHM6Wdjg59cWHlv65sYzha2re9z5t8ZpFa77OIQHOvrq43/AVPdorV+VYWKCKvpq3oGL0wxdk992zvFOGEsnxhUlbVNlm2LvzX8rsoMN8xdlmPUBBlVbJgKW77BqViHFk71k76c31hx3lSwq86WNLvp/RJ0OOAnguHt4+e/rKr4tIAMAM977z3rhH2jdLlqPAOLL3rJs6c90BW62FCJ40bPGG9X3PTxg6ZU0+yTMgAGroMXLWqPvu6di8iVaKA1AlP2U+/Pquellhc0Lmrb2359pgkAEA2H8y0K33hjs7Jibj2+cAACAASURBVONZeRSfK2OuRh1koUn3z9wy2jdn1LuD/7ew2iEVmZbwFZ7MvnCm1vKIowk19MocIDs7+Y1PtxcxANnPy7qemztq4NsHN5QxIl26/MreY/oH+hu/Wm8Y2Mt98AjStKUOhzJS4Jy5A5vPKdyZIlBDQWoAouj5+rLXkI97DNiaG4jFgNyIjF36GHzfvbZk5SEPAMCxI9uisHIIhAVb/aQDZ/RyIcyGPISdF5784Nqt8wfaNj6SueyQiw3bK+bmrbPl0XS3VIq7sqq9RBdpY055j0ExYIplzi0JzkuV1hdRsgFWTU8/LkHoKzLn11rXZRQAkFRH4mgnkcCyFsKbzxKdA6hT6vhc5yxAAQAwmuhr0/TxihXA2iWeHxJsf4pYNpwaBKkYalXfSWIoQhVjGEBVL3JpiCS49WPtUh0DAIyZ8OxMsJe/HxilpUMtmvakSM0AAFMsc25LcObVjioW62w1PusjNxvNh3GWZ0AAUPpVD7pkLQMiLYOgAAzmXZNszq42Zs15iUjN9BJ5TtK1LRIWADE4jdMd1KepprMoAIAsoBxmU3UkMRyARqlLKtMqVcUNpQBZPGjdxtnW8hNSzAlD0XqiRhekuT1pXlCkYlkz4fpa58jGanwghCy12zjXWnk+Eej9xmvbxSwA2rEsdVTQ/V6KraB8ncZIny9KTFOWvK0JGnjDJnpZwO0vHjXIIK+XuRAFZa0Z6pDGeVLMApDbWWkXM5HCOIrD3VByJBEAn5f5NERYvK1Tc79H2pRCAFiPyLvVYMkKp4awrORtCh02PMEWWVY20gDgh8spKC0datZ2JnE5C4BQl+TOrzXugigOq9WwhvDay1VgeYtDJIb6pxTzchOViAN5aCBP6stDjRPt2o6ysmPYzTWv2uOL+lrVzcWuz3WSpyxcT4XXtga3GhENGIUaSr+iDUtuTXD8hQNISDNLzLaq2tK+P6sVvZD+Yr04WSBmAMgrIrTVNU33AJolY1SepDkW7Mfk4t0iFgBQSjHlWgKlK3pfTkdTBcrN6s95c0D/Xv9Z/2tJjdUFZuxyRzJ1Zts54/Rvf7/6SX/m8L7LWKv+txG8TUCa8wrZ5IH9WygQAFTVsWcz5MrRHHd1xXBVq75PvtAycGjnKVs4lTHD/Ws2TX9CtHfauAlPzvs6O1jzWnFp14pnXxj7xOwfg30nbp3TXVOxw0pbsr6ZM+WVfsNGDhj/xfnWz3z5wdBmGAAAprjt3m7NrV/NGjZq3NPz9zD9Jmx5q7euRpCJ00YsWbe2z/lXR/zn83ySf0AAUeo9I0b1xHavmJv53IsDnh3/7IL/nXDVqSILgqlYTgAAps1IxDyX8y008Psr1giXJUobvGZhp91Tpq3KC9S4tKuMGtzvUxh0iprO52pCZVoZMO5Sd7lBGHP2qWI0vWuqGAD9f/bOOz6K4v//7y13t9fvcpfLpVCiNAVEwB/SUbCAolJEwYIi8lXp5fMR9UMTGyACKjaagICfD01FRRELXZQSigktECAJKZfrdfvvjySQcrt3t7nEgPd88Ed0bmZe836/Z3ZndmZXbU6Suw+v+NP8WK8m7Qd28WzbcYpSp+vi8UaJMIEt5BSRnlJnhbHIQJPv+s8wK28Z/v0fh/2n9hxfPXVoU3ldChSBcZzL9il7PX7XzURcnoNIC7Z66Q7C0SuCFBsKE7ldRNOe/Swo0bpXj2Q8ilxxN2+dLc/Ju4XQMnXAVj18ylSuNcmlK5P8bNAwxqEsPzGDcMphJea+LLndXLo8yU8FjRNLdSk8ACA6SmGUuT5JcVym1B3AuyLZbQ8ZhgVwFADhFINLLPcy5Pbkkg+TnSd59YhSYwsuggyUVT1VmtQZgl+bbauM/iKkZniHVQjA+xW+70yl71uLl5o9xZT22TKNqUK8rFVIFtDYl1lsnxsDXMAwxqGsuX+Yx+9wWEcG6a0pZb9X3DcIFgiAGILabkHI0dtXWkqXWmxrjN6at/IC5g0Pr3jEZmyL+tZbShallKxM8hxWsJXBG+e63Kqyd1KL3k32OgR+gKChn0225SZPKa0bU6rPqNEDw9XlVZW9k1o0L7Voodnvq/LTPDXFscq2lds4FZSqBc/+paJp0bCRVBcI+0tEhkguMRiMdgHeNihTAACg6SEZ4GRxpLmccCcCUS8LK+TxLmXW590Kv8q1Lrn002T7Nm0w4pRSWq+MmBQ2bESCLape2VgDQAxhpyCcrBWJu7Rln1pKPzeEZP6kyTZtcvT3tjWtIXHsFRlgRQeHKAz1Dx3MuctaXwmv6EJe21t+fbSrNgi1LbXwPZPnTM2VX3FrCMuIpsAYZCAyFgXgPJUN8clJN+DNa5wviHRB5IFjKmftXkWgEPB2JFb+nwSttAJ9UsHFOOesvAnk+bAZ8aQMPbhP2jh9Zjphwq0Kd4Ed1OkmOQKscFKAKdz24hvdvp+1LrvHzh3ONkM7ZE95csVf154u4jeNWnfytdYA4Pxl7pP/y4+0zQJv9uDoB1UnJ7749sorHMDBHPOAxyZU/QF59ucfvtnrBzhS1LLvnkf6tyf27w0CAO87v2fzeQAAOJFz2XLfA6/2bKP670VvRa6LB3b9uM8P+w5fat5779D+7Yhduyt2PwOqazt5+cK5TXePHvzGxvyrKyPiBQK4szdu3vFHYzjVgKg7v/DmjKYn5oz73cmDqCsD8V6okFoXnvHsgimZ2yY9scfFamumaXXBEvzeDT8NRCB45pc1L89c8bONFU1iig4dKkKHTX2608HPsmyorvlNJgXgShwBwAypOoy2H/jf0VenjRin82+acCl5qDpTX8clgEiBXdMpINxT6qIwZhnq1v3uwJ07v1v+yb48n7b986/PWLuGzxuw+GhIYoEi8O4Dk8Z8tOr9N0/se3LL+g0frfvpD5vUnRcAUoOtHrqDWPRGQSw2FBERsV2+ox+MWmDr6tm57CIdRS6xcV6SeaUVeA2C0tzCMbtVNfby8aWqwAmCAyDdtGqqX5XGB3MRMPr1XVjqqxTHbpwHCF3AsBmlun6Ud4MCAIDB6EsKUimDWzHqgpI2ygwDKAwHRh0wdueCq63OEygAkBdlaMsr+h6U6xzBCctAkgL6dhy50ew4gANAqJhTdXJHVggApCyYVX4iU045WFU7lzKF89or51F2IphDcECEHIxyml+dxgfPVd4fIJy8r808kAmuszqOVHluIFogAEYd0QQuCtxkCJg3PAiPGTjwy0NnCdIPAEDW/EX86uJQpgQFDFiBH/Pnde49BAcQzMWxGSWavqRnrZi/rpUJADKeq7rs5iN8eWDqGMR3ymgW0GZ+pQrzHZLxAAgIhw0lqS4Q9pewDLFc5cg5tPxSwQMfQitu7zjct8FIjHNaZ4YCOai8I0ltTnFfqeKdsLmEO1FlyAl4WUihgtQ/EkROmYpWqNno91wZpPRKiJQUPmwiBptIrxSqq4EDQISwXo7kFN5JhE4THBChXBydYdPfQ/m+VER1oQprjdjHXl5kgBX3V0RD/WMHcxalHQiSxGAocNdRu8ISMRbDWkNEhrS7MIFcvIcIuUHTz6u4qCO9gJpoDAekxosYxP0lZxWd3foMIDfJOR6Ax4KH5cZH/AqthnEDkhJU4Jj/bEwLFgDXlgAi4D889p4HZtMlxeqHo0pCVRmZ6YqCX5Z+d9rYoyWS1HXk4PZb3jvkqBhamPyt/+p6LK1lx/7Tps7a/QHdddx3+WIPvhTNO2dA4YY/yiJeL+iiMzbQWQ0ygCAA4Km9np0/eUi/Nik6zmsL6QH3EWGGSLrotA00Zv01hygGLPxsAL1/zH2zNxZXrTTKAv9uUF338Uu3jVV//sLojy5Un1+JuDLuxFYXmtr/5dczdz3z0jFPmDCmTn02uuVnAJi2Rbchby2c/M0qpvOQladpsaTAyU+eXtxs/ZSVFyYBAAALAPmXPSwAprOoMYZ0HP/6QJNlT9iWzM0PPcWiWj2BgqcOG8FFAzusUwR7Sl0UxioD1aZalJC36csde1wAcHb67M6D1gx4otXHR0+QEtslBuc4vGJQ701t7374hdFTfh07/ptZY5//8kIgckZRpAV23LqDePRGzB2rDSMh0i66+Mfli3+MNVfczSvR8mimjyDEto7zbhkLHKbkARDUTMoA9+ZWXheD8uAVUDchMUxxrQ9dLYgtn+EBkhzCUU7+XEG1M3EkiyDXflxbBmIiccC9FyMf0quqEAAQfUg7yKVpTeNK4LwICjwZ7hVNvKdaLgBA2totbSG0Ps1+pFqlURYYlojmra4JDX5jDL7oTHnTTx5V+/dr/XlY+IcJda8rekhZsAg0aRSKEVfnWrHVxWGh/QQ/0q80aWkbr+geREu1/ivV70drhc1VYm2XoL9EZYh6mSNGFlraldcvc71t9VS+/go1MjiGB3arKFVIhnBEV7/imCHkF8sl0okY0e1KQgoRIylXAXlQGcP8X2qvvEpkp4QLm4jU7pVR1VWdeggAEcJ7OQan+BWBAlA1jRwA5YhZI6axN+oBtgYRDZUYzK+vdkkjrDUaTgYld6/Wy0a5U+ZeW0tiHNVPbQj4C7nFlrGk/E8s9Guy/WD5tB1hjmuoRxya1qz/TxRvE0J9ykBJzDtrIywBMI4CN+hTzXKechUVAigyMkzgP2yneLEkRN/z5dVPsW/f+8qHlxhYs/b9wUuOLJg96dshs09X3N3S7oKTWQUnsw7vs2WcWzTq0SY/Lr4o9iSA53kANJo3IbIMCwiKIQAA8swnt6waZ/npg7HzDuYFFTcNnLt+dPhcHMcBIFXcwZ3c+gM65MFF85/KGfvFMX+FS6Iv8O8ENdw1ffk3I7mlz42adcBVOUaL+CvuSKoLNd79TC+9Gb4+PPDa/3x/V/7dz7f595FrG+dYb+6+tWPndLv/wwcHZqw5nVclbGoncZ7fPx578wp9ulWHBoLNJ//3hwF/7S2gANRqk4qnGNafNX34Ex+Sly5QKSEGUekVGEBdzoILBnZ4p4j0FKwuCmOUwTMUC6BJ0WDgYgGAsl0ug75N9PjVx3oxFhgFrDv75y8m/rJl9fjVe+fM/nn3qFVXpBleWmDHuztEGb3h80q1YRjibo1GUmAFCKfoFkRtOrGt4zwC1QfzCPAIXz3yEAAEMN+qZG/V9wZT2LUjdmFl8JWZo6jxmkKM1o4pNWhVrv8aQ3YEMQdMozwiuaqVX6j2oz71o3ZdkdlTUNng6AusjZB5eUAE7hT4K1rbXJXiNr+6i8840WPIMZas1tLRLGJF40qpVJ0WSquLPaMNkTZNZ8a7l9a25ahv1XSNjlkrbCTWJeovQRkRvIxS31tK95SfaUUZV6USZdD4tJffkWbfhfOg9f7mN79qT7pbVfRd+aF0gVzSEFFYHskxjrQSe2XEpKq/QmJWFaZXNooAEEHAy7E4heejG+ggkjViGXvR6AfYqkQ01D9tMK8KxsmMPLhxlqv1gfhG2y5phLVGw8rg8vSls3WonkURhDe7reMC5PkqD+1F/HXRWLKR4CiUdWBc1f7iVnrPI6YeQTyLINoz3ClVVFfe6kS4UWKLjx4pwtsOvU2HAADgTXr1bs6e+el8SDQJS27VQhcsyLaXT8+Y4qzD+WBqaQqzvMJzPA8IHmFyH7pw8CJk9LonPbYFGiKzWzvI/WDBF98cOnXir+P7soVOEdaGvvzjvL5D3j3YdsrPK569vfJLcnUosMHAmw2bv+lZ7JPR/zez2nRCxF9xR1JdnOv7qcPuHPhYxb8Ri44BnFww+p73cmo/H0YrX1JSu5jaSTzlLrhc6Gry2LuPmc7/94s//QCAaQ0KjmR5YBwXTp0oDHA8R7IIoYvblo7qgS3kFJGeEh+F0cngvReyi6HZ/e315Uf/1M1uSYPSkyVhDuhEV2D0+gKndh8pRtPamiWvvUYRbHjK/c9Pnv14uyqfHox3d4gmesPIgDjYsBpxt8bfUaAwSlLThmcOq6J5+gQAXJmCBoZoUfmtYyWlTAMu/9p5dQDgTljyXzWHyKq5CBpYRRrCFMvoq/+qLtiHk8GVETQwyjYxfmVNxhBpQO8yeE8oqEI5eV4WfQjwTpVzidV5gTJMsumuHn2vQ4HhzcuiTADQFEbwIs1g5FGd49O0wqVa/laXsVV0S3lirkSABUQZ7oPSPMIzgKhFvzWtopTp1b0cY9gAAPgJzxEM7+ZV3ekheKXnaM0lkNphI7EucX8JyYjkZa5IETpLhM4SoXPyqycUEA0tUyJMUcVkivcoSAdgFg4RzRVNJ4qpXbxLTgVA0TWECV7LwgSAtF4ZOekqtcMmmmCrTeMIABHCejkKp1SioJVpwF2RR7VXQtQaMY29kQfYsP6KaKh/1GBeHSTdp7EioUORDpA3qnZJI6w1Gl4Gj3AunAkymsE+rExz7aWqQgrLMwVx+oqMLqs+/wcADgv+ouSaedUtgmorGvxDLuEpWsWAgigtzW4yyjRNdTIgUm9q2U7mK8rLt9MQzPlyybFh8xe+efaNTX9pe8+Y1rL067Hf2zgAkSTuyh8HC14esfC1R/+1PqtE3vyRSc+1IY8tzA0CAJ7Se8qwtEs5l0pCqLlFj5emdpGdXvptgfjbANj87z9eN37pG2vfVS/++vcSaHmrofoXAcJD5h/NhZdeGD/s/MaTRaSsyS0GAHvUpuF9pzaMGM5t3DL9+/fKuk/49hJTxwIbBHXHGf/qEtz+ny0Oy62tLQAAQNsvXyoK8iKujDuS6mLd+bnX9sjomngBsMLzZ4qDPACiaT/xhTucJ89c9iHmVn3GTblTdubj7wtpEE0CVNmkVcubm97c9a6BLw7rpNj/3r1LTwcAAJXrlShjr7KDgGdpFlHpCcnf2hALbEGnMII9BU2SplCSDD54evOys8NnvT5rYnDlXrrtpNd740fmrb9ASS5QRKEs/YF5LzU/tfdIdnEANbYcNH6w1b/vt4jvAxEmYrBpOk9aPX2ADvoEDz224AIdZa4YEYteERnSbChC3K3R8AUKg2b6CDnuif7F1061+09P8iBbEqIP2DlFb5daKXf9Io/wEMupch1wW/qXWLR6X46MBQ5P4agDGqpylSK8DKfK/ac7+aFSs9zgy8PAQtV4iXR4GJy0gb6nW2PTkG4EMdJoTPuQSLl3VQo8X2wcW8YuNPsdSF0KDN8uDgsdlcPDzqT7wXcBA2uVdiEc8YCL8BKhApzjOFlrCgWEDUR12yzmShalShHkVo/uDiB5FvMpfWcqRz0OowpQpLNbfyeEKBYLKf2nKh6kIEkhog1wSlp1t0tNVHg5cl2CINQeDd3dbXoI2P0pwQgbeaJrV1gi+EtAhiQv824i5HJph7g0WzWkh5d1cOusCPmzLEJG4U4ksV2kwr2dUD1aZh2j8xxW0H5A1NW9HDYApPXKSEkiYSMSbCI05gAQI5JTkJs9+t5syAnybi6NBvf8qqifEVvYyxEH2LD+imSof9ZgXp5kpeRBwJsGdA/6sDyD7Viku97G1C5BZKzMzIGCQTFA9LQsjefcOOOvPAAV1hriMkQLlCADMVLyZEaWGVL38ikwwvmhnqry0F7SRQq4XJ3PUax70oUE1M5YPtJxlYolAMVtE1b+Ojyp/D/GfrphLOTNvO+xRXkMMJc/fWmc9q1XJy/+QMPYD219/YE3Kz/gLJwUOLn04X8jiyZM/naYGoAuyflt1uh5G0s4AECVSZndh08c1ywJB95b8PuORf3f3XA60vYFzrV/4qNTr8wc98Lbi19BAUJlpw8cL47UJcncNY9N0S+Z+ML6QXoZABNw5h3ZE+7RpiDB3I1Pv5j5x9rXv/y/0/0+Phesc4H1jTy14/8zgGngW7uu7Ud2rRn+wNgjQTFXxp1414UqjdbbHpo6eqJZBuC/8sfO9x+c/8UpKkISKFpN/3z1KK3jzIk/V7/81Afbsh3lK2wIoVcgHF314xksxaLKOuwCEAlsEacI9hRMokJpMoA6v2j0JOUbU6cvX/sW+M/8tPShmZvKz1hILFBEIcaT5p7/nv98hhoB8Ocd2j7p6cXba3+PM3oiBVvo8v5fbf0HOPcesDHR54o7YWVIs6EYcbdGgxcoBMIpuoWQ0li2jvNocFNKWcBheKBMLQc2X+380OiNeF6OR0NbrKV2l6GXy9SDB0DYApXzSOVkQ0gGjwY3ptjcTkMve/L9AICwxQTpiVQXI/OsMKPDXPpRfhQD4BDOrghFzFUVWuZdkyx7udT0nJd6X0fTUgsUNC/C7DGX6R2Gfvbk/gB8lXYhPIKyyvvLdGoAAN4lD3yT7MyrS13loOS2JL/ZqXvKBjQe2qHwX3vBMkJuT/KmOLQjbFoGC/2o8J/CgEeZXAXT0WN+0QOAsHlqxxKD76qXJYQNAADwJRr3KY/5Fpnnt0jT3WjbFY5IARBehrSwoeSuT0zwqNvwkg8F4D3y4HfJjoifmJbWicQUIsz+5GKfW3+P3/C0BwGAAB76VV7Fy+ECQFqvFEkSDxuA8MEmTiMPAFHpEZzCs8T9dq0a+DLCs8LkLqh7Nw+HiJcjD7Dh/CVuqH/aYM6gjB1RPVxqBeAc8tBv5rJfVEzEGUzjaZcwSLrbMtlX0T9726y9gf42rfgXnAcRa4jJECtQigxefp8tpRvHlsjJ303Fu9RU1S+YS71IAS33/khonwgxv2qo2lvSogC5XdVCSr4ECRIkSJCgwVAHk+fY8J2pxT/J6nOp5jqREXcasl2NrS45aZpTotibWvRD3fQ0ZF0JqiJi+Rs12BoMjNZNL9KXWgpXELGt1Df+obLxK5TGjdouaTR+a9RBIdLMmTqB9M5L8ZbFsHyw7PH08j/i8R30BAkSJEiQoD5Bb/YRMpk7xp1yN6qMuNOQ7WocdfF4F5dWKyNLULSNR6XC/Kfrqqch60pQFZGIulGDrfHT+IfKxq9QGjdqu6TR+K0hRSFBy1N4RENqh/ngd4vfLnEPRWIJIEGCBAkSNG4QjugWQkr0wViWum9YGXGnIdvVSOpCeFTHEn18Wi0PAVlgm9kV02eo/966ElRFzPI3aLA1fhr/UNn4FUrjhmyXjDLOKNbqw6SQazNKjgqfj42vNSTLEEGSQrSJJ3mcH+Mw8vek0m2RXugoUnniIECCBAkSJEiQIEGCBAkSJGhcIDyWQmPhPhzFlckZqW9Oul5l1JnEQYAECRIkSJAgQYIECRIkSNBY4RG2WF7vH+27XmTEj3h9Br1BQY2dhr8zY0Q7AgAANXQaP+OV8a0V8Sods/Rbsnb5/M7KeBWYIEGCBAnqCYRT9HEa+9CNa9ejitQOcmrTeIB6UIiyqmGllsFk42ry3wXCKXo7jb0bWQAkaOQkwua6puoA25B13aiD+Y3argSiXJdLAJi5y2MTR3RNxQEA8KROo58Z1NsSt/0MmCazT7f2marr0jQJEiRIcKODtrBnLLliKL8nQ1lFD6+mJdvwtxrVZFQH0ZCau3yEvn4UIhzeMqQw8fXUZJF21W9dRp91yeWmSy43XXI5Y2Soduuw9vb0RQWWnky1JJRV9PRqWkU2b/h2IZzyiStN55VqLfFsb0PWdeMQKQCiQSR6a44bomETPtjqKOOfGgBxH1KqDbAAUE/+ql3XjTqYX2/tkkZDXtqk0cAKq85zUfXtz35UdHbL1Mxq02nM1OWVT7cWncvy5+z87c1H2iiRKJIQTcuHFq/fXnYuy39u3/HPpwxuIq9Vta7HtC8957J2PqBvVDFyfYMZu4+c/dNv+3znsvx/7dg9//GO2ms+FnFl/IXUpa5wsaG8bXruuSz/1X8HZ9ypjJiE6toPX771F8+5LH/2jl/fGtxWVVEeZh2y91zWkf9rJgMAUPd+d7f/2Lw+qjo0mGg67OUlB38/5D+X5T/xw89vDWmvrtQu5hTBniJRoUQZ5T/Q3fbgCyu+2JJ38kjBh101dS8wPIi6xcBFX3xbfC7Lf+5oyZ4NG8bebqjbgpu0YKuv7hDTyCbRhqJFxtsa9WJegctNVHDyO4OoXeUv/XuvHI1ERtxpyHZVr8ujKpufWvRestcZ9sc8kkRjKCdLie3bZOHrugrC4akMELRMLanUv7+uWFDQ6kdL0t693HTJ5Yz/lBo6SJwv1RcRAiAaRKI3psC+joKt8dMAQ0r9+Ou6p3q7tAHzzPyKJbZZxeb+ATzcsfbrFzTDa3nncmo/oWEtZi9HKjCWXASlfbI4fdHlpkvy0yc7NKlhJ/nVFaKsenRhk6uroq+WGrvQaFwjtOLuS2bp+OC0KePGdzMD5FX/QdMXP/14ZvODb09b8peuz8wZc37ASzq+etDFiyUhuq6L188deHrZmOG78jUdxs6Zvm5F4P899FkOVVksour04tKtIy030qGKxoA8c/CCcW3PrX13xF9OddtBb055ZSt1tt3MLD+IujLu1KUugdjAlDoVf2bGU7N2unkA4GnXhVCEJMxy/+frpvc4vuzZEfvK0u6e+casHSp7h2l77BzITM2TATIe6tVk5aUL8tYjeulAmdZUg0JA2gUEgGFxwvbt+6/MKqSTbx88Z+LMzf7Tt7+dExR1ikhPkahQkgwAQFRtJiz9aGbmqbUb1kz4+GJ+4flA3QoURHnbm2veGO3Z9tq41w878PRb7+gUcgWlWh1AarDVU3eIcWSTaEMR4m6N+JtX+HITHQSlbscxe9UMIyFz/GgkMuJOQ7arRl0syhShgAFLh/01wuy1XDnP8kWSPu8s1C4O936URhoRujh+91YNWVf0IBzxaImpvdy9LiXo5BR9nMZRNn6+1V3UaKY9EQIgCkSiN7bAvn6CrfHTEENK/fjreqdGu3AON/HUNovzMo9nBnT9y1JbGYs/0dKSu1ujAdGS6nvc+j4hDECwNbF4OaoCo8+FsuqRJcabFe61KUE/oxrgSJrAsW+ZgzXu9Goq5FEzi1wylm5WcDJW3sFjfKIYZ9JsR7GoFUWgfAmAaDl53rjuJ74YMb3Th9QggQAAIABJREFU8vlNq6Yrbx0x5fbAptGvvb3Hw8OBbOVtx6eNeXDRn+tLObGkm/reYyxaOW/lVzkUwKl/ze837MPu7bXLcuzlnRNNuXfmptHBOaMWDvrf29E980K1tw5d+MYLI24zYcGi7DIzQH6VVEX/RdtdBp2Mc2fvXD35P2sPuMunFHizRxd8P6NPphoF8J8/sHX2a0u/KqQAALPc/e574x9u3zxVjQLnzt65ZtrMNXudtSYieMrQ+evW9j0zccjUlXmUSIEAqKX7yFmj7rmrw01NjEocgCn+acRDr2yvlxm2IFTu6rt7rqZpDgBgz3Gya+91d3RIxbNyGTFXxl1GHeoSjA1UZSSCBcezz/5Va3okkIRaeo3orzo15dXPthZyANnPqbqcfn3UgHf2rSvlZKam6ku7Dpvvv8/65VrLgF6+fQeRZq1MOJRSNUuPEqbwy7lvVfx94KzqnruW3J6pRXKCvKhThHuKRIWSZACi6fnK4peRT7r333yOjEeBwsisnfpYgt+9vGDpfj8AwOGDW2KwchikBVv9dIeYRzZpNhQhYrvw1AdWb35jgHP9wyMW7/fyEXPF37zCl5voQJv6lErcm1XtI7rIrWVp73EoBlyRyrMpyXOh0voyRtXfYegZwhUIe0nl+crovYgCAJLuTh7tIZJ43k4E8niiI4l6lO5VJk8+CgCAsURfp6FPQK4B3qXw/5Dk/FPG85FkEJRmiEN/B4WhCFOEYQBVvSikEEnymce5lCYOALgywv9tkqv8+8AoqxxiN7SnZHoOALgilWdLkie3dlTxWEeH9ZkgtdFadgDnRQoEAG1I94BX1YqUGTkEBeCwwMrUsuxqZdZsl4wyvFaszkm5sknBAyAWj/U1N/NZuu0UCgCgIrVDnboOFIYDsChzQWdbpqu4oZRQlwhGn3W2o3yHFHfUUriWqJEFucmVMpeW6Xi+jPB+ZXJnYzV+EKYuvc/6uuPq/kR2j/XKVjkPgHYoTR9F+95Lc+aXz9M45XOFyRna4ncMtEU0bGKvC4T9JSKDokW9LISMVrXhmP0Gz3E5D0Bt5ZWdyog0zl0U6YZSoBMBiHlZTCHC4209hnv9ymYMAsD7ZYHNFntWJBnSeqVoUviwEQm26HplIw0AcYScgrLKIWXGjhSu5gEQ5oLa85XBlx/DZrUa1pA+9goNsKKDQzSG+qcM5uUmKpaTuSiZqwzmotZJLmMHVelh7PpqV+3yZX0d+pvk3lUmxZN2oX2Fta0hLCOqAmOQoQ1pbuWpzUnuYziAgirjidkOXVs2+Ge1QS+sv/gATuXLOQDqkgxtfcXQjUSzVJzOnzLHjv2YWrRDxgMAymimXkliTIXvq9lYRoFys4Zy/tP/vl7/XvtrcY3ZBWbt1DmV+WvLaetr3/x++dP7uAO7L2Kt77uZEE0Cqiy3gE8dcF9LDQKA6jr0bI5cOpTjq7ylyBi08u3bd0ydviyXjFIrZrl35YbXHpftmj5+4hNzv8qma14rLmz/8Jnnxz0++0e676TNc7oZKlZYWXvW13OmvtRv6Mj+Ez4/0+bpLz4Y0hwDAMA0N9/d9SbHl7OGjhr/1Bs7uX4TN73Z21QjyOQZwxesWd3nzL+G/3tVHiVeIIAs/a7ho3piOz58fcSzY/o/M+GZt/531FunEVkSXMV0AgAwY2Yy5r+YZ2dB3F/xRnpdwrGB6qwGPBTUWEyams4XSkJVRhVwvhJfuUG4suwTRWjTLulyAFRtTpK7D6/40/xYrybtB3bxbNtxilKn6+LxRglc17rvE8+3Ivd/e8JZ0QYhp4j0lDorjEUGmnzXf4ZZecvw7/847D+15/jqqUOb1jq5E0uBIjCOc9k+Za/H77qZiMtzEGnBVi/dQcLIJs2GwkRuF9G0Zz8LSrTu1SMZjyJXPZhX8HITHZy8WwgtUwds1cOnTOVak1y6MsnPBg1jHMryEzMIpxxWYu7LktvNpcuT/FTQOLFUl8IDAKKjFEaZ65MUx2VK3QG8K5Ld9pBhWABHARBOMbjEci9Dbk8u+TDZeZJXjyg1tuAiyEBZ1VOlSZ0h+LXZtsroL0JqhndYhQC8X+H7zlT6vrV4qdlTTGmfLdOYKsTLWoVkAY19mcX2uTHABQxjHMqa+4d5/A6HdWSQ3ppS9nvFfYNggQCIIajtFoQcvX2lpXSpxbbG6K15Ky9g3vDwikdsxraob72lZFFKycokz2EFWxm8ca7LrSp7J7Xo3WSvQ+AHCBr62WRbbvKU0roxpfqMGj0wXF1eVdk7qUXzUosWmv2+Kj/NU1Mcq2xbuY1TQala8OxfKpoWDRtJdYGwv0RkiOQSg8FoF+BtgzIFAACaHpIBThZHmssJdyIQ9bKwQh7vUmZ93q3wq1zrkks/TbZv0wYjTiml9cqISWHDRiTYouqVjTUAxBB2CsLJWpG4S1v2qaX0c0NI5k+abNMmR39vW9MaEsdekQFWdHCIwlD/0MGcu6z1lfCKLuS1veXXR7tqg1DbUgvfM3nO1Fz5FbeGsIxoCoxBBiJjUQDOU9kQn5x0A968xvmCSBdEHjimctbuVQQKAW9HYuX/SdBKK9AnFVyMc87Km0CeD5sRT8rQg/ukjdNnphMm3KpwF9hBnW6SI8AKJwWYwm0vvtHt+1nrsnvs3OFsM7RD9pQnV/xV/nQRz3h2wZTMbZOe2ONitdGqbPbg6AdVJye++PbKKxzAwRzzgMcmVP0BefbnH77Z6wc4UtSy755H+rcn9u8NAgDvO79n83kAADiRc9ly3wOv9myj+u9Fb0Wuiwd2/bjPD/sOX2ree+/Q/u2IXbsrdj8Dqms7efnCuU13jx78xsb8q7eq4gUCuLM3bt7xR2P4OiSi7vzCmzOanpgz7ncnD6KuDMR7oUJqXWKxgWt1wRL83g0/DUQgeOaXNS/PXPGzjRVNYooOHSpCh019utPBz7JsqK75TSYF4EocAcAMqTqMth/439FXp40Yp/NvmnApeag6U1/HJQD8plHrTr7WGgCcv8x98n/5NfcP1XQKCPeUuiiMWYa6db87cOfO75Z/si/Pp23//Osz1q7h8wYsPhqSWKAIvPvApDEfrXr/zRP7ntyyfsNH6376wyZ15wWA1GCrh+4gZWSrQiw2FBERsV2+ox+MWmDr6tm57CIdRS6xcV6yeQUuN1FBUJpbOGa3qsZePr5UFThBcACkm1ZN9avS+GAuAka/vgtLfZXi2I3zAKELGDajVNeP8m5QAAAwGH1JQSplcCtGXVDSRplhAIXhwKgDxu5ccLXVeQIFAPKiDG15Rd+Dcp0jOGEZSFJA344jN5odB3AACBVzqk7uyAoBgJQFs8pPZMopB6tq51KmcF575TzKTgRzCA6IkINRTvOr0/jgucr7A4ST97WZBzLBdVbHkSrPDUQLBMCoI5rARYGbDAHzhgfhMQMHfnnoLEH6AQDImr+IX10cypSggAEr8GP+vM69h+AAgrk4NqNE05f0rBXz17UyAUDGc1WX3XyELw9MHYP4ThnNAtrMr1RhvkMyHgAB4bChJNUFwv4SliGWqxw5h5ZfKnjgQ2hFf+Nw3wYjMc5pnRkK5KDyjiS1OcV9pYp3wuYS7kSVISfgZSGFClL/SBA5ZSpaoWaj33NlkNIrIVJS+LCJGGwivVKorgYOABHCejmSU3gnETpNcECEcnF0hk1/D+X7UhHVMB7WGrGPvbzIACvur4iG+scO5ixKOxAkicFQ4K6jdoUlYiyGtYaIDGn3KAK5eA8RcoOmn1dxUUd6ATXRGA5IjRcxiPtLzio6u/UZQG6SczwAjwUPy42P+BVaDeMGJCWowDH/2ZgWLACuLQFEwH947D0PzKZLitUPR5WEqjIy0xUFvyz97rSxR0skqevIwe23vHfIwaGp/V9+PXPXMy8d88QgVdG8cwYUbvijLOL1gi46YwOd1SADCAIAntrr2fmTh/Rrk6LjvLaQHnAfEWaIpItO20Bj1l9ziGLAws8G0PvH3Dd7Y3HVSqMs8O8G1XUfv3TbWPXnL4z+6EL1+ZWIK+NObHWJxwZ16rPRLT8DwLQtug15a+Hkb1YxnYesPE2LJQVOfvL04mbrp6y8MAkAAFgAyL/sYQEwnUWNMaTj+NcHmix7wrZkbn7oKRbV6gkUPHXYCM7kb/1X12NpLTv2nzZ11u4P6K7jvsu/erUP6xTBnlIXhbHKQLWpFiXkbfpyxx4XAJydPrvzoDUDnmj18dETpMR2icE5Dq8Y1HtT27sffmH0lF/Hjv9m1tjnv7wQiJxRFGmBHbfuIG1ku5o7VhtGQqRddPGPyxf/GGuuv9m8V0EzfQQhtnWcd8tY4DAlD4CgZlIGuDe38roYlAevgLoJiWGKa33oakFs+QwPkOQQjnLy5wqqHVIgWQS59uPaMhATiQPuvRj5kF5VhQCA6EPaQS5NaxpXAudFUODJcK9o4j3VcgEA0tZuaQuh9Wn2I9UqjbLAsEQ0b3VNaPAbY/BFZ8qbfvKo2r9f68/Dol/dia2u6CFlwSLQpFEoRlyda8VWF4eF9hP8SL/SpKVtvKJ7EC3V+q9Uvx+tFTZXibVdgv4SlSHqZY4YWWhpV16/zPW21VP5+ivUyOAYHtitolQhGcIRXf2KY4aQXyyXSCdiRLcrCSlEjKRcBeRBZQzzf6m98iqRnRIubCJSu1dGVVd16iEARAjv5Ric4lcECkDVNHIAlCNmjZjG3qgH2BpENFRiML++2iWNsNZoOBmU3L1aLxvlTpl7bS2JcVQ/tSHgL+QWW8aS8j+x0K/J9oPl03aEOa6hHnFoWrP+P1G8TQj1KQMlMe+sjbAEwDgK3KBPNct5ylVUCKDIyDCB/7Cd4sWSEH3Pl1c/xb597ysfXmJgzdr3By85smD2pG+HzD6rvfuZXnozfH144LVK3t+Vf/fzbf59xCesg+d5ADSaNyGyDAsIiiEAAPLMJ7esGmf56YOx8w7mBRU3DZy7fnT4XBzHASBV3MGd3PoDOuTBRfOfyhn7xTF/hUuiL/DvBDXcNX35NyO5pc+NmnXAVTlGi/gr7kiqCzVGFRusN3ff2rFzut3/4YMDM9aczquyXlY7ifP8/vHYm1fo0606NBBsPvm/Pwz4a28BBaBWm1Q8xbD+rOnDn/iQvHSBSgkxiEqvwADqchacdheczCo4mXV4ny3j3KJRjzb5cfFFBkDIKcI95TRWF4UxyuAZigXQpGgwcLEAQNkul0HfJnr86mO9GAuMAtad/fMXE3/Zsnr86r1zZv+8e9SqK9IMLy2w490dooze8Hml2jAMcbdG4zBvJQin6BZEbTqxreM8AtUH8wjwCF898hAABDDfqmRv1fcGU9i1I3ZhZfCVmaOo8ZpCjNaOKTVoVa7/GkN2BDEHTKM8IrmqlV+o9qM+9aN2XZHZU1DZ4OgLrI2QeXlABO4U+Cta21yV4ja/uovPONFjyDGWrNbS0SxiReNKqVSdFkqriz2jDZE2TWfGu5fWtuWob9V0jY5ZK2wk1iXqL0EZEbyMUt9bSveUn2lFGVelEmXQ+LSX35Fm34XzoPX+5je/ak+6W1X0XfmhdIFc0hBRWB7JMQ4FEntlxKSqv0JiVhWmVzaKABBBwMuxOIXnoxvoIJI1Yhl70egH2KpENNQ/bTCvCsbJjDy4cZar9YH4RtsuaYS1RsPK4PL0pbN1qJ5FEYQ3u63jAuT5Kg/tRfx10ViykeAolHVgXNX+4lZ6zyOmHkE8iyDaM9wpVVRX3upEuFFii48eKcLbDr1NhwAA4E169W7OnvnpfEg0CUtu1UIXLMi2l0/PmOKsw/lgammSAef6fuqwOwc+VvFvxKJjACcXjL7nvRzRZ4ChCwcvQkave9JjW6AhMru1g9wPFnzxzaFTJ/46vi9b6BRhbejLP87rO+Tdg22n/Lzi2dsrvyRXhwIbDLzZsPmbnsU+Gf1/M6tNJ0T8FXck1RVLbKCVLympXUztJJ5yF1wudDV57N3HTOf/+8WffgDAtAYFR7I8MI4Lp04UBjieI1mE0MVtSwfP8TwgeMWqlZBThHtKnBRGJ4P3Xsguhmb3t9eXH/1TN7slDUpPloR5D2p0BUavL3Bq95FiNK2tWfLaaxTBhqfc//zk2Y+3q/LpwXh3h2iiN4wMiIMNqxF3azQO81aiJDVteOawKpqnTwDAlSloYIgWld86VlLKNODyr51XBwDuhCX/VXOIrJqLoIFVpCFMsYy++q/qgn04GVwZQQOjbBPjV9ZkDJEG9C6D94SCKpST52XRhwDvVDmXWJ0XKMMkm+7q0fc6FBjevCzKBABNYQRX4BmMPKpzfJpWuFTL3+oytopuKU/MlQiwgCjDfVCaR3gGELXot6ZVlDK9updjDBsAAD/hOYLh3byqOz0Er/QcrbkEUjtsJNYl7i8hGZG8zBUpQmeJ0FkidE5+9YQCoqFlSoQpqphM8R4F6QDMwiGiuaLpRDG1i3fJqQAouoYwwWtZmACQ1isjJ12ldthEE2y1aRwBIEJYL0fhlEoUtDINuCvyqPZKiFojprE38gAb1l8RDfWPGsyrg6T7NFYkdCjSAfJG1S5phLVGw8vgEc6FM0FGM9iHlWmuvVRVSGF5piBOX5HRZdXn/wDAYcFflFwzr7pFUG1Fg3/IJTxFqxhQEKWl2U1GmaapTgZE6k0t28l8RXn5dhqCOV8uOTZs/sI3z76x6S9t7xnTWpZ+PfZ7GwcgksRd+eNgwcsjFr726L/WZ5XImz8y6bk25LGFuUEAzp2fe20fhK6JFwArPH+mOCgagmz+9x+vG7/0jbXvqhd//XsJtLzVUP2LAOEh84/mwksvjB92fuPJIlLW5BYDgD1q0/C+UxtGDOc2bpn+/Xtl3Sd8e4mpY4ENgrrjjH91CW7/zxaH5dbWFgAAoO2XLxUFeRFXxh1JdbEisYFo2k984Q7nyTOXfYi5VZ9xU+6Unfn4+0IaRJMAVTZp1fLmpjd3vWvgi8M6Kfa/d+/S0wEAQOV6JcrYq+wg4FmaRVR6QvK3NvCU3lOGpV3KuVQSQs0terw0tYvs9NJvC2gAEacwgj0FTZKmUJIMPnh687Kzw2e9PmticOVeuu2k13vjR+atv0BJLlBEoSz9gXkvNT+190h2cQA1thw0frDVv++3Wq8XiJ6IwabpPGn19AE66BM89NiCC3SUuWJELHpFZEizoQhxt0Y9mFfwchMJNNNHyHFP9C++dqrdf3qSB9mSEH3Azil6u9RKuesXeYSHWE6V64Db0r/EotX7cmQscHgKRx3QUJULGOFlOFXuP93JD5Wa5QZfHgYWqsZLpMPD4KQN9D3dGpuGdCOIkUZj2odEyr2rUuD5YuPYMnah2e9A6lJg+HZxWOioHB52Jt0PvgsYWKu0C+GIB1yElwgV4BzHyVpTKCBsIKrbZjFXsihViiC3enR3AMmzmE/pO1M56nEYVYAind36OyFEsVhI6T9V8SAFSQoRbYBT0qq7XWqiwsuR6xIEofZo6O5u00PA7k8JRtjIE127whLBXwIyJHmZdxMhl0s7xKXZqiE9vKyDW2dFyJ9lETIKdyKJ7SIV7u2E6tEy6xid57CC9gOiru7lsAEgrVdGShIJG5FgE6ExB4AYkZyC3OzR92ZDTpB3c2k0uOdXRTTVxT5iC3s54gAb1l+RDPXPGszLk6yUPAh404DuQR+WZ7Adi3TX25jaJYiMlZk5UDAoBoielqXxnBtn/JUHoMJaQ1yGaIESZCBGSp7MyDJD6l4+BUY4P9RTVR7aS7pIAZer8zmKdU+6kIDaGctHOq5SsQSguG3Cyl+HJ5X/x9hPN4yFvJn3PbYojwHm8qcvjdO+9erkxR9oGPuhra8/8GblF6GFkwInlz78b2TRhMnfDlMD0CU5v80aPW9jiXQfc679Ex+demXmuBfeXvwKChAqO33geHGkLknmrnlsin7JxBfWD9LLAJiAM+/InnCPNgUJ5m58+sXMP9a+/uX/ne738blgnQusb+SpHf+fAUwD39p1bT+ya83wB8YeCYq5Mu7Euy5UabTe9tDU0RPNMgD/lT92vv/g/C9OURGSQNFq+uerR2kdZ078ufrlpz7Ylu0oX2FDCL0C4eiqH89gKRZV1mEXAKpMyuw+fOK4Zkk48N6C33cs6v/uhtMUgKhTBHsKJlGhNBlAnV80epLyjanTl699C/xnflr60MxN5WcsJBYoohDjSXPPf89/PkONAPjzDm2f9PTi7bW/xxk9kYItdHn/r7b+A5x7D9iY6HPFnbAypNlQjLhbI/7mFb7ciIJwim4hpDSWreM8GtyUUhZwGB4oU8uBzVc7PzR6I56X49HQFmup3WXo5TL14AEQtkDlPFI52RCSwaPBjSk2t9PQy558PwAgbDFBeiLVxcg8K8zoMJd+lB/FADiEsytCEXNVhZZ51yTLXi41Peel3tfRtNQCBc2LMHvMZXqHoZ89uT8AX6VdCI+grPL+Mp0aAIB3yQPfJDvz6lJXOSi5LclvduqesgGNh3Yo/NdesIyQ25O8KQ7tCJuWwUI/KvynMOBRJlfBdPSYX/QAIGye2rHE4LvqZQlhAwAAfInGfcpjvkXm+S3SdDfadoUjUgCElyEtbCi56xMTPOo2vORDAXiPPPhdsiPiJ6aldSIxhQizP7nY59bf4zc87UEAIICHfpVX8XK4AJDWK0WSxMMGIHywidPIA0BUegSn8Cxxv12rBr6M8KwwuQvq3s3DIeLlyANsOH+JG+qfNpgzKGNHVA+XWgE4hzz0m7nsFxUTcQbTeNolDJLutkz2VfTP3jZrb6C/TSv+BedBxBpiMsQKlCKDl99nS+nGsSVy8ndT8S41VfUL5lIvUkDLvT8S2idCzK8aqvaWtChAble1kJIvQYIECRIkaDDUweQ5NnxnavFPsvpcqrlOZMSdhmxXY6tLTprmlCj2phb9UDc9DVlXgqqIWP5GDbYGA6N104v0pZbCFURsK/WNf6hs/AqlcaO2SxqN3xp1UIg0c6ZOIL3zUrxlMSwfLHs8vfyPeHwHPUGCBAkSJKhP0Jt9hEzmjnGn3I0qI+40ZLsaR1083sWl1crIEhRt41GpMP/puuppyLoSVEUkom7UYGv8NP6hsvErlMaN2i5pNH5rSFFI0PIUHtGQ2mE++N3it0vcQ5FYAkiQIEGCBI0bhCO6hZASfTCWpe4bVkbcach2NZK6EB7VsUQfn1bLQ0AW2GZ2xfQZ6r+3rgRVEbP8DRpsjZ/GP1Q2foXSuCHbJaOMM4q1+jAp5NqMkqPC52Pjaw3JMkSQpBBt4kke58c4jPw9qXRbpBc6ilSeOAiQIEGCBAkSJEiQIEGCBAkaFwiPpdBYuA9HcWVyRuqbk65XGXUmcRAgQYIECRIkSJAgQYIECRI0VniELZbX+0f7rhcZ8SNen0FvUFBjp+HvzBjRjgAAQA2dxs94ZXxrRbxKxyz9lqxdPr+zMl4FJkiQIEGCegLhFH2cxj5049r1qCK1g5zaNB6gHhSirGpYqWUw2bia/HeBcIreTmPvRhYACRo5ibC5rqk6wDZkXTfqYH6jtiuBKNflEgBm7vLYxBFdU3EAADyp0+hnBvW2xG0/A6bJ7NOtfabqujRNggQJEtzooC3sGUuuGMrvyVBW0cOrack2/K1GNRnVQTSk5i4foa8fhQiHtwwpTHw9NVmkXfVbl9FnXXK56ZLLTZdczhgZqt06rL09fVGBpSdTLQllFT29mlaRzRu+XQinfOJK03mlWks829uQdd04RAqAaBCJ3prjhmjYhA+2Osr4pwZA3IeUagMsANSTv2rXdaMO5tdbu6TRkJc2aTSwwqrzXFR9+7MfFZ3dMjWz2nQaM3V55dOtReey/Dk7f3vzkTZKJIokRNPyocXrt5edy/Kf23f88ymDm8iv5lLeNj33XJb/6r+DM+5MPHGPF5ix+8jZP/22z3cuy//Xjt3zH++oveZjEVfGX0hd6kJ1PaZ96TmXtfMB/dVsImEjnITq2g9fvvUXz7ksf/aOX98a3FZVUR5mHbL3XNaR/2smAwBQ9353t//YvD6qOjSYaDrs5SUHfz/kP5flP/HDz28Naa+u1C7mFMGeIlGhRBnlP9Dd9uALK77YknfySMGHXTV1LzA8iLrFwEVffFt8Lst/7mjJng0bxt5uqNuCm7Rgq6/uEC56hUVIs6FokfG2RiMp8Bqc/M4galf5S//eu4tGIiPuNGS7qtflUZXNTy16L9nrDPtjHkmiMZSTpcT2bbLwdV0F4fBUBghappZU6t9fVywoaPWjJWnvXm665HLGf0oNHSTOl+qLCAEQDSLRG1NgX0fB1vhpgCGlfvx13VO9XdqAeWZ+xRLbrGJz/wAe7lj79Qua4bW8czm1n9CwFrOXIxUYSy6C0j5ZnL7octMl+emTHZrUsJP86gpRVj26sMnVVdFXS41daDSuEVox2ZdZOj44bcq48d3MAHnVf9D0xU8/ntn84NvTlvyl6zNzxpwf8JKOrx508WJJiK7r4vVzB55eNmb4rnxNh7Fzpq9bEfh/D32WQwEAYEqdij8z46lZO908APC060Ionm36JyPPHLxgXNtza98d8ZdT3XbQm1Ne2UqdbTczyw+irow7dakLUXV6cenWkZYaB25EwkYoCbPc//m66T2OL3t2xL6ytLtnvjFrh8reYdoeOwcyU/NkgIyHejVZeemCvPWIXjpQpjXVoBCQdgEBYFicsH37/iuzCunk2wfPmThzs//07W/nBEWdItJTJCqUJAMAEFWbCUs/mpl5au2GNRM+vphfeD5QtwIFUd725po3Rnu2vTbu9cMOPP3WOzqFXEGpVgeQGmz11B0EolcIiTYUIe7WaCQFVoGg1O04Zq+aYaLNUS80EhlxpyHbVaMuFmWKUMCApcP+GmH2Wq6cZ/kiSZ93FmoXh3s/SiONCF0cv3urhqwrehCOeLTE1F7uXpcSdHKKPk7jKBs8KNO+AAAgAElEQVQ/3+ouajTTnggBEAUi0RtbYF8/wdb4aYghpX78db1To104h5t4apvFeZnHMwO6/mWprYzFn2hpyd2t0YBoSfU9bn2fEAYg2JpYvBxVgdHnQln1yBLjzQr32pSgn1ENcCRN4Ni3zMEad3o1FfKomUUuGUs3KzgZK+/gMT5RjDNptqNY1IoiUL4EQLScPG9c9xNfjJjeafn8plXTlbeOmHJ7YNPo197e4+HhQLbytuPTxjy46M/1pZxY0k197zEWrZy38qscCuDUv+b3G/Zh9/baZTl2HgBQlZEIFhzPPvtXDPe5qPbWoQvfeGHEbSYsWJRdZgbIr5Kq6L9ou8ugk3Hu7J2rJ/9n7QF3+ZQCb/bogu9n9MlUowD+8we2zn5t6VeFFABglrvffW/8w+2bp6pR4NzZO9dMm7lmr7PWRARPGTp/3dq+ZyYOmboyjxIpEAC1dB85a9Q9d3W4qYlRiQMwxT+NeOiV7fUywxaEyl19d8/VNM0BAOw5Tnbtve6ODql4Vi4j5sq4y6hDXWjKvTM3jQ7OGbVw0P/errZJRThsBJJQS68R/VWnprz62dZCDiD7OVWX06+PGvDOvnWlnMzUVH1p12Hz/fdZv1xrGdDLt+8g0qyVCYdSSmKbmcIv575V8feBs6p77lpye6YWyQnyok4R7ikSFUqSAYim5yuLX0Y+6d5/8zkyHgUKI7N26mMJfvfygqX7/QAAhw9uicHKYZAWbPXTHQSjVwhpNhQhYrvw1AdWb35jgHP9wyMW7/fyEXPF3bx1tjza1KdU4t6sah/RRW4tS3uPQzHgilSeTUmeC5XWlzGq/g5DzxCuQNhLKs9XRu9FFACQdHfyaA+RxPN2IpDHEx1J1KN0rzJ58lEAAIwl+joNfQJyDfAuhf+HJOefMp6PJIOgNEMc+jsoDEWYIgwDqOpFIYVIks88zqU0cQDAlRH+b5Nc5d8HRlnlELuhPSXTcwDAFak8W5I8ubWjisc6OqzPBKmN1rIDOC9SIABoQ7oHvKpWpMzIISgAhwVWppZlVyuzZrtklOG1YnVOypVNCh4AsXisr7mZz9Jtp1AAABWpHerUdaAwHIBFmQs62zJdxQ2lhLpEMPqssx3lO6S4o5bCtUSNLMhNrpS5tEzH82WE9yuTOxur8YMwdel91tcdV/cnsnusV7bKeQC0Q2n6KNr3Xpozv3yeximfK0zO0Ba/Y6AtomETe10g7C8RGRQt6mUhZLSqDcfsN3iOy3kAaiuv7FRGpHHuokg3lAKdCEDMy2IKER5v6zHc61c2YxAA3i8LbLbYsyLJkNYrRZPCh41IsEXXKxtpAIgj5BSUVQ4pM3akcDUPgDAX1J6vDL78GDar1bCG9LFXaIAVHRyiMdQ/ZTAvN1GxnMxFyVxlMBe1TnIZO6hKD2PXV7tqly/r69DfJPeuMimetAudCq9tDWEZURUYgwxtSHMrT21Och/DARRUGU/MdujassE/qw16Yf3FB3AqX84BUJdkaOsrhm4kmqXidP6UOXbsx9SiHTIeAFBGM/VKEmMqfF/NxjIKlJs1lPOf/vf1+vfaX4trzC4wa6fOqcxfW05bX/vm98uf3scd2H0Ra33fzYRoElBluQV86oD7WmoQAFTXoWdz5NKhHF+5MFRnNeChoMZi0kS9koFZ7l254bXHZbumj5/4xNyvsumaOS9s//CZ58c9PvtHuu+kzXO6GSpWWFl71tdzpr7Ub+jI/hM+P9Pm6S8+GNIcAwDANDff3fUmx5ezho4a/9QbO7l+Eze92dtUI8jkGcMXrFnd58y/hv97VR4lXiCALP2u4aN6Yjs+fH3Es2P6PzPhmbf+d9RbpxFZElzFdAIAMGNmMua/mGdnQdxf8UZ6XbKMQSvfvn3H1OnLcskal3bhsBFKQlVGFXC+El+5Qbiy7BNFaNMu6XIAVG1OkrsPr/jT/FivJu0HdvFs23GKUqfr4vFGCVzXuu8Tz7ci9397wlnRBiGniPSUOiuMRQaafNd/hll5y/Dv/zjsP7Xn+OqpQ5vK61KgCIzjXLZP2evxu24m4vIcRFqw1Ut3EI5eEaTYUJjI7SKa9uxnQYnWvXok41Hkirt562x5Tt4thJapA7bq4VOmcq1JLl2Z5GeDhjEOZfmJGYRTDisx92XJ7ebS5Ul+KmicWKpL4QEA0VEKo8z1SYrjMqXuAN4VyW57yDAsgKMACKcYXGK5lyG3J5d8mOw8yatHlBpbcBFkoKzqqdKkzhD82mxbZfQXITXDO6xCAN6v8H1nKn3fWrzU7CmmtM+WaUwV4mWtQrKAxr7MYvvcGOAChjEOZc39wzx+h8M6MkhvTSn7veK+QbBAAMQQ1HYLQo7evtJSutRiW2P01ryVFzBveHjFIzZjW9S33lKyKKVkZZLnsIKtDN441+VWlb2TWvRustch8AMEDf1ssi03eUpp3ZhSfUaNHhiuLq+q7J3UonmpRQvNfl+Vn+apKY5Vtq3cxqmgVC149i8VTYuGjaS6QNhfIjJEconBYLQL8LZBmQIAAE0PyQAniyPN5YQ7EYh6WVghj3cpsz7vVvhVrnXJpZ8m27dpgxGnlNJ6ZcSksGEjEmxR9crGGgBiCDsF4WStSNylLfvUUvq5ISTzJ022aZOjv7etaQ2JY6/IACs6OERhqH/oYM5d1vpKeEUX8tre8uujXbVBqG2phe+ZPGdqrvyKW0NYRjQFxiADkbEoAOepbIhPTroBb17jfEGkCyIPHFM5a/cqAoWAtyOx8v8kaKUV6JMKLsY5Z+VNIM+HzYgnZejBfdLG6TPTCRNuVbgL7KBON8kRYIWTAkzhthff6Pb9rHXZPXbucLYZ2iF7ypMr/qp4uohrdcES/N4NPw1EIHjmlzUvz1zxs038nhdv9uDoB1UnJ7749sorHMDBHPOAxyZU/QF59ucfvtnrBzhS1LLvnkf6tyf27w0CAO87v2fzeQAAOJFz2XLfA6/2bKP670VvRa6LB3b9uM8P+w5fat5779D+7Yhduyt2PwOqazt5+cK5TXePHvzGxvyrKyPiBQK4szdu3vFHY/g6JKLu/MKbM5qemDPudycPoq4MxHuhQmpdeMazC6Zkbpv0xB4Xq62ZJhw2QklM0aFDReiwqU93OvhZlg3VNb/JpABciSMAmCFVh9H2A/87+uq0EeN0/k0TLiUPVWfq67gEgN80at3J11oDgPOXuU/+L7/m/qGaTgHhnlIXhTHLULfudwfu3Pnd8k/25fm07Z9/fcbaNXzegMVHQxILFIF3H5g05qNV7795Yt+TW9Zv+GjdT3/YpO68AJAabPXQHcSiNwpisaGIiIjt8h39YNQCW1fPzmUX6ShyiY3zkswrrcBrEJTmFo7Zraqxl48vVQVOEBwA6aZVU/2qND6Yi4DRr+/CUl+lOHbjPEDoAobNKNX1o7wbFAAADEZfUpBKGdyKUReUtFFmGEBhODDqgLE7F1xtdZ5AAYC8KENbXtH3oFznCE5YBpIU0LfjyI1mxwEcAELFnKqTO7JCACBlwazyE5lyysGq2rmUKZzXXjmPshPBHIIDIuRglNP86jQ+eK7y/gDh5H1t5oFMcJ3VcaTKcwPRAgEw6ogmcFHgJkPAvOFBeMzAgV8eOkuQfgAAsuYv4lcXhzIlKGDACvyYP69z7yE4gGAujs0o0fQlPWvF/HWtTACQ8VzVWxAf4csDU8cgvlNGs4A28ytVmO+QjAdAQDhsKEl1gbC/hGWI5SpHzqHllwoe+BBacXvH4b4NRmKc0zozFMhB5R1JanOK+0oV74TNJdyJKkNOwMtCChWk/pEgcspUtELNRr/nyiClV0KkpPBhEzHYRHqlUF0NHAAihPVyJKfwTiJ0muCACOXi6Ayb/h7K96UiqgtVWGvEPvbyIgOsuL8iGuofO5izKO1AkCQGQ4G7jtoVloixGNYaIjKk3YUJ5OI9RMgNmn5exUUd6QXURGM4IDVexCDuLzmr6OzWZwC5Sc7xADwWPCw3PuJXaDWMG5CUoALH/GdjWrAAuLYEEAH/4bH3PDCbLilWPxxVEqrKyExXFPyy9LvTxh4tkaSuIwe33/LeIQcHANSpz0a3/AwA07boNuSthZO/WcV0HrLytNhpC0XzzhlQuOGPsojXC7rojA10VoMMIAgAeGqvZ+dPHtKvTYqO89pCesB9RJghki46bQONWX/NIYoBCz8bQO8fc9/sjcVVK42ywL8bVNd9/NJtY9WfvzD6owvV51cirow7sdWFpvZ/+fXMXc+8dMwTJoxFwkYwKXDyk6cXN1s/ZeWFSQAAwAJA/mUPC4DpLGqMIR3Hvz7QZNkTtiVz80NPsahWT6DgqcNGcCZ/67+6Hktr2bH/tKmzdn9Adx33Xf7Vq31Ypwj2lLoojFUGqk21KCFv05c79rgA4Oz02Z0HrRnwRKuPj54gJbZLDM5xeMWg3pva3v3wC6On/Dp2/Dezxj7/5YVA5IyiSAvsuHUH8eiNmDtWG0ZCpF108Y/LF/8Ya664m1ei5dFMH0GIbR3n3TIWOEzJAyComZQB7s2tvC4G5cEroG5CYpjiWh+6WhBbPsMDJDmEo5z8uYJqZ+JIFkGu/bi2DMRE4oB7L0be2lZVIQAg+pB2kEvTmsaVwHkRFHgy3CuaeE+1XACAtLVb2kJofZr9SLVKoywwLBHNW10TGvzGGHzRmfKmnzyq9u/X+vOw8A8T6l5X9JCyYBFo0igUI67OtWKri8NC+wl+pF9p0tI2XtE9iJZq/Veq34/WCpurxNouQX+JyhD1MkeMLLS0K69f5nrb6ql8/RVqZHAMD+xWUaqQDOGIrn7FMUPIL5ZLpBMxoo9uhBQiRlKuAvKgMob5v9ReeZXITgkXNhGp3Sujqqs69RAAIoT3cgxO8SsCBaBqGjkAyhGzRkxjb9QDbA0iGioxmF9f7ZJGWGs0nAxK7l6tl41yp8y9tpbEOKqf2hDwF3KLLWNJ+Z9Y6Ndk+8HyaTvCHNdQjzg0rVn/nyjeJoT6lIGSmHfWRlgCYBwFbtCnmuU85SoqBFBkZJjAf9hO8WJJiL7ny6ufYt++95UPLzGwZu37g5ccWTB70rdDZp+ucnfLev8/e+cd50TRN/DfliSbnlxyuUo5pEkRAV8EpCioFFEBAcGCIvqodLCgPlQrIAIKdkBAQB+aCoIiFroo5Wh3tIODK1xJ78nW94+7gyvZTbKXOw/M98MfwGRmfnV2Z3ZmN2f/mnFzuvVb+sCg9NVnc4WeBHAcB4BG8iZEhmYAQTEEAECa8fjmleNNv3w0bt6hXL+s2aA3140NXYtlWQCkkjvYU1t+Qoc+sGj+E9njvj7uLXdJ5A3+k6C6u6d/+cNodtkzY2YddFSM0QL+ijmi+kL19zzVU2uE748Muv6fH+7Ov+fZ1q8cvb5xTiBsahaxrj8/GXfLcm1asgb1+ZtO+fanAaf3FZAASqVBwZE0482cPvKxpcErl8ikAI0otDIMoDZnwSlnwanMglOZR/ab0y8sGjOs0c+LL9MAfE4RyBSsNhJGKQZHkwyAKkmFgYMBANKcZ4E+jbT4tcd6UTYYAYwz69evJ/22edWEVfvmzP51z5iVV8UZXlxgxzodIoze0HXF2jAEMbdGA2mwHISVdfOjZo3Q1nEOgaqDeRg4hKsaeQgAAphnZaK78nuDSez6EbuQYnAVlSPo8bqEGKV+rlSnVji+1QesCGL0Gca4BGpVab9Q6UU9ymFWTZHRVVChcOQN1oTPvBwgPHcK3FW1+U2F7DavsotHP8mly9aXrFJTkSxiReJKsVSeForrizmnDgTNqs60ex+lbsuS25RUtcSsETYi+xL0F68YYbyMkttNpXvLzrSitKNCErlf/6Sb25lq3Y1zoHb/4TW+bk24R1H0Y9mhdJ5a4hCQsCySoxxpRWZl2KLKv0KilipEVjaIABCAx8vROIXjIhvoIJw1ohl70cgH2MqENdS/bTCvDMZK9Bw4cYat8YH4BquXOEJao37FYHO1pbM1qJZBEYQzOpPH+4IXKz20F/DXZX3JBoIlUcaGsZXzxSl3X0QMd/nxTIJoT7NnFBFdeasS5kaJKT52tAhv+8htGgQAAG/Us1dT5twvFwOCRVhiy+Yaf0GWtWx6RhdnHskHQwtDiOUVtOJtE4JiBC4dugzpPe9Ni26Bhsjo1g5yPlrw9Q+Hz5w8fWJ/Ft8pwppQeT/P6zP0/UNtp/66/OnbK74kV4sG6w28yfD5G5/GPh37n5lVphMC/oo5ovpiHdunDb9z0IjyP6MWHQc4tWDsvR9k13w+LBA2NYs40lmQV+hoNOL9EYaL3379txcAMLVOxgYZDmjbpTMnC30sxwYZhNDEbEsHx3IcIHj5qhWfUwQyJTYSRiYG576UVQxN+rXXlh39Uza5NRVKT5WE2JkTWYORy+c7s+doMZra1ih67TWCYMOT+j07Zfaj7Sp9ejDW6RBJ9IYQA2JgwyrE3Br/RIP8yIOq1hx9RBHJ0ycAYC0yCmiiecW3juWkPBXY/Ovn1QGAPWnKf90YCFauRVDAyFIRulhCXftTecE+lBishaCAlreO8itrEppIBWq3zn1SRhZKgxclkYcAZ1fYlyTbL5G6yWbNtaPvtWgwtHkZlPYBmkTzrsDTWPCYxvZZauEyNdfGoW8Z2VKekCsRYACRh/qgNIdwNCBKwW9NK0h5WlUvRxk2AABewnUUw7u5FXe6CE7uOlZ9CaRm2IjsS9hffGKE8zJbJAucJwLnicAF6bUTCoiKksgRuqh8MsW5ZEEbYCYWEawVSRJFpRfnkJI+kHUNYLzXshABIC4rwxddo2bYRBJsNWkYASBASC9H4JQKZJQ8Fdir0oj2SghaI6qxN/wAG9JfYQ31rxrMq4KkeVTJSOBwuAPkDUovcYS0Rv2LwSGsA6f9tGqIB7Oorr9UlU/Cskp+nLoqoSxV5/8AwGL+3+RsE7eyuV+ZjPr/kop4ilY+oCByU5NmeomqsUYCREqzFu0knqLcfCsF/uxvlhwfPn/h2+ff2nha3WvGSy1Kvx+33cwCCBSxV/86VPDqqIVvDHt5XWaJtOnDk59pHTy+MMcPAIiq/aTn77CfOpfnQYwte4+feqfk3CfbC4U/usDkb/9k7YRlb615X7n4+z9LoEUbXdUvAoQmmH8sB158fsLwixtOFQUljW7VAVgjNg3nObN+1Eh2w+bp2z+wdJ+47QpdywbrBWXHGS938e/472abqU0rEwAAUNa8K0V+TsCVMUdUX4wzP+f6HhlNIzcAVnjxXLGfEwwboYhC5Y1atril8S1d7x70wvBOsgMf3LfsrA8AUKlWjtLWSjsIOIZiEIWWEP2tDTyp19ThqVeyr5QEUGPzu16c1kVydtm2AgpAwCk0b6agCeIkFCUG5z+76YvzI2fNnTXJv2If1Xby3F740XnrLpGiGxSQUJI2cN6LTc/sO5pV7EP1LQZPGJLs3f9HjdcLRE7YYFN1nrxq+gAN9PYfHrHgEhVhrSgRil4BMcTZUICYW6P+G+QHzfAQUtwV+Yuv7Urn367EweYEROuzsrJeDqVc6vhNGuYhll3hOOg09S8xqbWebAkDLJ7EkgdVZMUqRWgx7Arn387EB0uNUp0nFwMTWe0l0qGh8aAZtD2cKrMq6EQQPYVGtQ8pKHWvTIJni/XjLMxCo9eG1KbB0HqxWOCYFB6yJ/QDzyUMkivphbDEQAfhJgIFOMuyklYkCgjji+i2WciVDEqWIkgbl+YOCHIM5pF7zlWMeixGFqBIZ6f2TgiQDBaQe8+UP0hBEgJEa2DllOIeh5Io93L4vnhByL0qqrvT8CAwB5L8YTbyRKZXSML4i0cMUV7mnETA4VAPdai2qIIuTtLBqUlGgr9KwlTkTyKRegVlzh2EYpgl+TmN64iM8gKirOrlkAEgLivDFQmEjUCwCdCQA0CIcE5BbnFpezEBO0i7OVQq3PW7rG5GbH4vhx1gQ/ornKH+XYN5WVEyKfUD3tinecCD5erMx8Pd9TYkvXiRMBIjCzIaxQDRUpJUjnXitLfiAFRIawiLIdigCDEQPSlNpCUZAWVPjwwj7Eu1ZKWH9qIuUsDmaDy2Ys3jDsSntEfzkY5rlC8ByG6buOL3kQll/xj32fpxkDvz/hGLcmmg8z57cbz6ndenLP5IRVsPb5k78O2KDzjzF/lOLXvoFWTRxCnbhisBqJLsP2aNnbehhAUAVK5Pvu3BaWMnGSUA3qt/7frwgflfnwm3fYF1HJg0bNrVmeOff3fxayhAwHL24InicCkZzFk9Yqp2yaTn1w3WSgBonz336N5QjzZ58edsePKFjL/WzP3mP2f7fnLBX+sG6xppSsf/04Fh0Du7r+9HdqweOXDcUb+QK2NOrPsSCBuhiJK1nP7VqjFq27mTf6969YmPtmbZylbYEEIrQ1iq8sczGJJB5bXYBYDKEzK6j5w0vkkCDpy74M+di/q/v77s4IuAU3gzBRMpoTgxgLy4aOxk+VvTpn+55h3wnvtl2YMzN5adsRDZoICEGBc09nhl/rPpSgTAm3t4x+QnF++o+T3OyAkXbIG8A7+b+w+w7ztopiOvFXNCiiHOhkLE3Br13iAfCCvrFkBKo9k6zqH+jUkWn0030KKUApOvtC/Vu8Oel+PQwObkUqtD19NhuIsDQJgChf1oxWSDTwwO9W9IMjvtup7WxH4AgDDFRNAVri9a4lpuRIc7tGO8KAbAIqxVFghbqzKUxL06UfJqqeEZN/mhhqLENshrXoTea7Robbq+1sT+AFwlvRAOQRl5P4tGCQDAOaS+HxLtubXpqww0uDXBa7RrnjADhQd2yrzXX7CMBHckuJNs6lFmNY0FfpZ5z2DAoXSOjO7oMr7gAkCYXKVtic5zzcsiwgYAALgSlfOMy3irxPVHuOlupHqFIlwAhBZDXNiQUsenBhjm1L3oQQE4l9T/Y6It7CemxSWRkIQIfSCx2OPU3uvVPelCAMCHB36XVvJyqAAQl5UCRcJhAxA62IRp4AEgKHoYp3AM0c+qVgJnIVzLDc6C2qd5KAS8HH6ADeUvYUP92wZzGqWtiOKh0mQA1iYN/GG0/Kagw85gGo5e/CBpTtMUT3l+9jIn9wJqW2rxbzgHAtYQEkOoQTFicNL7zUndWKZEGvzTULxbSVb+grnYixRQUvfPhPqxAP27iqy5JS0CkNsVzcXUixMnTpw4ceoNpT9xjhnflVL8i6Qul2puEDFiTn3q1dD6kgYNc0pk+1KKfqqdPPXZV5zKCFj+Zg22egOjNNOLtKWmwuVEdCv1DX+obPgSiuNm1UscDd8atZAQaWJPmRh0z0tyW6JYPvji0bSyv8TiO+hx4sSJEydOXYLe4iEkEmeUO+VuVjFiTn3q1TD64vAuDrVaEixB0dYuhQLznq2tPPXZV5zKCETUzRpsDZ+GP1Q2fAnFcbPqJY6Gbw0xEhKUNIlDVEH1cA/8afJaRe6hiC8BxIkTJ06chg3CEt0CSInWH81S900rRsypT70aSF8Ih2oYordHrebAJ/FtNTqi+gz1P9tXnMoIWf4mDbaGT8MfKhu+hOK4KfWSkPoZxWptiJLgmvSSY/znY2NrDdFiCCBKQrSRK3G8F2Ox4J8JpVvDvdBRoPP4QYA4ceLEiRMnTpw4ceLEidOwQDgsicJCfTiKtUhpsW9OulHFqDXxgwBx4sSJEydOnDhx4sSJE6ehwiFMsbTOP9p3o4gRO2L1GfR6BdV3GvnejFHtCAAAVNdpwozXJrSSxap1zNR3yZov53eWx6rBOHHixIlTRyCsrLdd35tqWLseFUH1YLs6lQOoAwlRRjG81DQk2LBU/qdAWFkvu75XAwuAOA2ceNjc0FQeYOuzr5t1ML9Z9YojyA25BIAZu4yYNKprCg4AgCd0GvvU4F6mmO1nwFQZvbu1z1DckKaJEydOnJsdtLk1fclVXdk9GcrI7nKrWjD1f6tRRYyqIKqg6m4Poa0bCREWbxGQGbg6UllAr7rtS+9JXpLXeEle4yV56aMDNbXD2lvTFhWYetBVilBG1sOtahnevKH1Qlj5Y1cbzytVm2Kpb332dfMQLgAiQSB6q48bgmETOthqKca/NQBiPqRUGWABoI78VbOvm3Uwv9H0Ekd9XtrEUc8SVp7nosrbn/646PzmaRlVptOYoctrn20pupDpzd71x9sPt5YjERQhqhYPLl63w3Ih03th/4mvpg5pJK3SL6a57YHnl3+9OffU0YKlXVV1pN2/EEzfffTsX/7Y77mQ6T29c8/8Rzuqr/tYwJWxF6Q2faGau176xnUhc9dA7bVq8tum51zI9F77c2jGnfKwRaim/cgvt/zmupDpzdr5+ztD2irK28OSh+67kHn0P00kAADKXu/v8R6f11tRC4WJxsNfXXLoz8PeC5nekz/9+s7Q9soK2YWcwpspIiUUKUbZD0JlZW0aDA2ibD5o0dfbii9kei8cK9m7fv2423W1W3ATF2x1lQ6hopdfCHE2FGyyjqwRlV4CYVPeWujLTUSw0jv9qFXhLf1n7y4aiBgxpz71qtqXS2GZn1L0QaLbHvLHHJJAYSgrSYru22Sh+7oGwuIpNBCURCmq1X++r2iQUcphJanv5zVekpf+31JdB5HzpboiTABEgkD0RhXYN1CwNXzqYUipG3/d8FTVS+0zzswvX2KbVWzs78NDHWu/cUHT3ab38lL68g1rUXs5XIPR1CJI9ePFaYvyGi/JT5tiU6WEnORXlRBllGMLG11bFX29VN+FQmMaoeV3XxJTxwdemjp+QjcjQG7VHzR+4bNPZjY99O5LS05res+cMecnvKTj64ccnFARoum6eN2bg85+8dzI3fmqDuPmTF+73Pd/D36eTQIAIIrWE5d9PDPjzJr1qyd+cjm/8KIvlir9q5FmDFkwvu2FNe+POm1Xth389tTXtpDn283M9IKgK2NObfpCFJ1eWErKC9MAACAASURBVLZltKnagRtMrlFw52Y8MWuXkwMAjnJcCoQpwkz9vlo7/a4TXzw9ar8l9Z6Zb83aqbB2eGmvlQWJoWkiQPqDPRutuHJJ2mpUTw3IUxurUPCJu4AA0AxOmLd9+NqsQirx9iFzJs3c5D17+7vZfkGnCGSKSAlFiQECWSm2QV7kt729+q2xrq1vjJ97xIantbmjU8DhF2t1ALHBVkfpwBO9fIi0oQB1ZI0o9RIIG6HLTWQQpLIdS+9T0rSIyrGjgYgRc+pTr2p9MShdhAIGDBXy1wi9z3T1IsMVifq8M59eLO7+ODWoR6ji2N1b1WdfkYOwxLASQ3upc22S387Ketv1Y8zc/GRnUYOZ9oQJgAgQiN7oAvvGCbaGT30MKXXjrxudanrhLG7gyK0mex6HZ/g0/S0pLfXFn6op0enWYEDUQeW9Tm3vAAbAq000Xo6owchroYxydIn+FplzTZLfSysG2BImssw7Rn+1O73qEnKokUGu6Es3yVgJI+3g0j9WjNOp5mNYxBKFoWwJgGgxZd747ie/HjW905fzG1cul7cZNfV238axb7y718XBwSz5bSdeeu6BRX+vK2WFipr1uVdftGLeiu+ySYAzL8/vO3xp9/bqL7KtHCCqHq8tfhX5tHv/TReCkQuKqts8svCt50fdZsD8RVkWI0B+pVJZ/0U7HDqNhHVm7Vo15b9rDjrLphR4k2ELts/onaFEAbwXD26Z/cay7wpJAMBM97z/wYSH2jdNUaLAOrN2rX5p5up99hoTETzpkflr1/Q5N2notBW5pECDAKip++hZY+69u0OzRno5DkAX/zLqwdd21MkMmxcyZ9U9PVZRFAsAsPdEsGuvtXd0SMEzc2ghV8ZcjFr0hSbdN3PjWP+cMQsH/+/dKptUFHrCX3Ai6/zpGtMjniLU1HNUf8WZqa9/vqWQBch6RtHl7NwxA97bv7aUlRgaK6/sPmLsd3/yN2tMA3p69h9CmrQ04FBKitSZLvzmzXfK/37wvOLeu5fcnqFGsv2coFP4M0WkhKLEEMpKcQ3yI0nu1Nvk//HVBcsOeAEAjhzaHIWVQyAu2OomHXijlw9xNhQgrF54ysBVm94aYF/30KjFB9xcZLWi1ksgbAQuN5GBNvbI5bg7s8pHdJE2ltQPWBQDtkjh2pjgulQhpYRW9LfpegRwGcJcUbi+07svowCApDkTx7qIBI6zEr5cjugYRF1y50qDKx8FAMAYoo9d19snVQHnkHl/SrD/LeG4cGIQpGqoTXsHiaEIXYRhAJW9yCchkuAxjnfIDSwAsBbCuy3BUfZ9YJSRD7Xq2pMSLQsAbJHCtTnBlVPT+hzW0Zb8lJ/ckGw5iHMCDQKAOqAZ6Fa0DEr0LIICsJhvRYolq0qb1fWSkLo3ipXZSVc3yjgAxORKfsNJf55mPoMCACiC6kfsmg4khgMwKH1JY/5CU35DKaIvAfSe5Nm2sh1S7DFT4RqiWhWkmSPpTUqi4TgL4f7O4MzCqv0gRF9aT/Jc27X9icze5KtbpBwA2qE0bQzl+SDVnl82T2PlzxQmpquL39NRJsGwib4v4PeXgBgkJehlPiSUojVLH9C5Tkg5AHILJ+9kIVJZZ1G4G0qeJAIQ8rKQhAiHt3Xp7vPKm9AIAOeV+DaZrJnhxBCXlYJFocNGINgiy8oGGgDC8DkFZeRDLfqOJK7kABD6ktL1nc6TH8VmtWrWED/28g2wgoNDJIb6twzmZSYqlgZz0GCO3J+DJk926DsoSo9gN5ZeNduX9LFpm0ndKw2yx618+wprWoNfjIgajEIMdUDVhiM3JTiP4wAy0sIRs22atoz/7yqDXkh/cT6czJeyAOQVCdrqqq5bEM1UsBpv0hwr9nNK0U4JBwAorZp2NYE2FH6oZKIZBcrMGsj+b//7e76y5vfiarMLLLlT5xT69OazyW/88GfeZ/ezB/dcxlrdfwshWASkJaeASxlwfwsVAoBqOvRoilw5nO3hAABNvPu/w5M508jtfx3xntl7YtW0RxpLa4hVHcx034r1bzwq2T19wqTH3vwui6p+rbi0Y+lTz45/dPbPVJ/Jm+Z005WvsDLWzO/nTHux7yOj+0/86lzrJ7/+aGhTDAAAU91yT9dmtm9mPTJmwhNv7WL7Ttr4di9DtSCTpo9csHpV73Mvj3xlZS4p3CCAJO3ukWN6YDuXzh319HP9n5r41Dv/O+au1YgsCrZ8OgEAmD4jEfNezrUyIOyvWCO+L0n64BXv3r5z2vQvcoLVLu2aZB0e8KtMBlV15/MVoQq9AlhPiafMIKwl62QR2rhLmhQAVRoTpM4jy/82jujZqP2gLq6tO8+QyjRNLN4ogWta9Xns2ZbBA9tO2st14HOKQKbUWsJoxIgoK6NpUADadiHLI+/56N23EDF5DiIu2OokHfijVwAxNuQnvF5E4x59TSjRquddiXiEtUTpVUHNsOG93EQGK+0WQC1Kn7lq+FgUjtWJpSsSvIxf95xNXnZiBmHlw0uMfZjgDmPplwle0q+fVKpJ4gAA0ZAyvcTxaZItj1R2APfyRKc1oBvuw1EAhJUNKTHdRwd3JJYsTbSf4pSjSvXN2TBioIziidKEzuD/3mheqfcWIdXDO6SEAJxX5vnRUPphcvEyo6uYVD9tURnKhZe0DEh8KusXJvNXeh/r0z1nk1ffP8zhd9iSR/upLUmWP8vvG3gbBEB0fnU3P2RrrStMpctM5tV6d/VbeR7zhoaTPWzWt0U960wli5JKViS4jsiYiuCNcV9OheW9lKL3E902nh8gaOBXg/lLg6uU0jxXqk2vFqmh+nIrLO+lFM1LKVpo9Hoq/TRXSbKMvG3FNk4ZqWjOMacVFCUYNqL6An5/CYghUEsIGqMcgLf1S2QAAGhaQAJ4sDjcXI4/iUDQy/wScngXS/KzTplX4VibWPpZonWr2h92SikuK8MWhQwbgWCLKCsbagAIwe8UhJW0DOIOteUzU+lXuoDEmzDFrE6M/EpQ3Roix16BAVZwcIjAUP/SwZzNU3tKOFmX4PW95TeGXjVByK0phR8YXOeqr/wKW4NfjEgajEIMRMKgAKyrQhGPNOgEvGm18wXhLogcsHTFrN0t8xUC3i6Ilf2ToOTJQJ2SsVHeoVXcBHJcyIp4QroWnKfMrDYjjTDgyTJngRWUaQYpAgx/kY8u3PrCW922z1qbddeunfbWj3TImvr48tNBAABlq7534PZdP3756f5cj7r9s3NnrFnN5Q5YfCwQqv8KMZo8MPYBxalJL7y74ioLcCjbOGDExMo/CJ7/9acf9nkBjha16LP34f7tiQP7/ADAeS7u3XQRAABOZueZ7h/4eo/Wim8vu8trXT64++f9Xth/5ErTXvse6d+O2L2n4kwCqmk75cuFbzbeM3bIWxvyr92qCjcI4MzasGnnXw3h65CIsvPzb89ofHLO+D/tHAi60hfrhQqxfeHpTy+YmrF18mN7HYy6epla4y/B71v/yyAE/Od+W/3qzOW/mhnBIrro8OEidPi0Jzsd+jzTjGqaNjPIAJfjCACmS9FglPXg/469/tKo8RrvxolXEh9RZmhruQSANxuz9tQbrQDA/tubj/8vv/r+oepOAf5MqY2EUYsRLiujblAAznlw8nMfr/zw7ZP7H9+8bv3Ha3/5yyx25wWA2GCrg3QQit4IiMaGAkKE1ctz7KMxC8xdXbu+uExFVEu8Xrxhw3O5iQiCVN3K0nsU1fbycaUK30mCBQg6KcU0ryKV8+cgoPdquzDkd0m2PTgHELiEYTNKNX1J93oZAACNUVdkQbkE2mDkJTmll+gGkBgOtNKn7876VyXbT6IAELwsQVtc1d5FOi4QLL8YSIJP244NbjDaDuIAEChmFZ2c4SUEgKDEn1l2IlNK2hhFO4c8iXVbK+ZRVsKfTbBABGy0/CWvMpXzX6i4P0BYaR+zcRDtX5tsO1rpuYFggwAYeVTlu8xzk8Fj3tAgHKZjwSsNnCeCXgCAGvv6YtcXi9IlKGDA8PyYu6hx7iVYAH8Ojs0oUfUJutYI+et6mwAg4djKy24ewpMLho5+fJeEYgBt4pUrMM9hCQeAAH/YkKL6An5/8YshVKsMKYuWXSo44AJoeb6xuGe9nhhvT54Z8GWj0o5BclOS82ol74SsxZ9EFSHH42U+CWVB7cN+5IyhaLmSiXzPlU5MVkK4otBhEzbYBLKSr696DgABQno5nFM4OxE4S7BABHJwdIZZey/p+UYW0TAe0hrRj72cwAAr7K+whvrXDuYMStkQJIHGUGBvIL1CEjYWQ1pDQAxx9yg8tTgXEXCCqq9bdlkTdANqoDAckGovYhD2l5SRdXZq0yG4UcpyABzmPyLVP+yVqVW0E5AkvwzHvOejWrAAuL4EEAbvkXH3DpxNlRQrH4qoCFWkZ6TJCn5b9uNZ/V0tkISuo4e03/zBYRuLqlNMcsjd+M3OvQ4AOD99dufBqwc81vKTYycFTgXImnZOh8L1f1nCXi+oonNm0CTrJAB+AMBTej49f8rQvq2TNKzbHNAC7iFCDJFU0VkzqIza6w6RDVj4+QDqwHP3z95QXLnTCBv8p0E13Scs2zpO+dXzYz++VHV+JeDKmBNdX2hK/1fnZux+6sXjrhBhTJ75fGyLzwEwdfNuQ99ZOOWHlXTnoSvOUkJFvlOfPrm4ybqpKy5NBgAABgDy81wMAKYxKTE6aDvx/cFGXzxmXvJmfuAJBlVrCRRctdgITudvebnr8dQWHfu/NG3Wno+oruN/zL92tQ/pFN5MqY2E0YoRNiuj10sI1nZk+eBeG9ve89DzY6f+Pm7CD7PGPfvNpdq+EERcYMcsHYSjN2ztaG0YDgG9qOKfv1z8c6S1aqOXYNiIBM3wEITQ1nHOKWGAxeQcAIIagxLA3TkV10W/1H8VlI2CGCa7nkPXGmLKZniAJAZwlJU+U1DlkEKQQZDrP64pBmII4oC7L4c/pFdZQgBAtAH1YIeqFYXLgXUjKHDBUK9o4lxVagEA0tZqaguBdanWo1U6jbDBkIQ1b1WZUP8Pev8L9qS3vcFjSu8BtTcXi3x1J7q+Iico8ReBKpVEMeLaXCu6vlgscIDgRnvlBjVl5mTd/Wip2nu16v1ojbC5RrR68fpLUAxBL7PE6EJTu7L+JY53k10Vr79C9TSO4b49ClIRkCAs0dUrO64LeIVqCSQRLZjNfBIi+qBUAcFD8ijm/2Kz8hrhnRIqbMJSMysj6qsqdRAAAoT2chRO8cp8BaBoHD4AyhCyRlRjb8QDbDXCGio+mN9YeokjpDXqTwxS6lyllYxxJr15fS2JtlU9tcHjL+RWc/qSsr9igd8TrYfKpu0IfUJFPmxTtWK8f6N46wDqkftKot5ZG2YJgLYVOEGbYpRypKOoEECWnm4A7xEryQkVIdoer656gnn3vteWXqFh9ZoPhyw5umD25G1DZ5+laJIBUCWpMHAwAECa8yzQp5EWD/EAoRIcxwGgkbwJkaEZQFAMAQCQZjy+eeV40y8fjZt3KNcvazbozXVjQ9diWRYAqeQO9tSWn9ChDyya/0T2uK+Pe8tdEnmD/ySo7u7pX/4wml32zJhZBx0VY7SAv2KOqL5Q/T1P9dQa4fsjg67/54e78+95tvUrR69vnGPcOfvXjJvTrd/SBwalrz6bW2m9rGYR6/rzk3G3LNemJWtQn7/plG9/GnB6XwEJoFQaFBxJM97M6SMfWxq8colMCtCIQivDAGpzFpxyFpzKLDiVeWS/Of3CojHDGv28+DINwOcUgUzBaiNhlGJwYbMyygYjgHFm/fr1pN82r5qwat+c2b/uGbPyqjjDiwvsWKdDhNEbuq5YG4Yg1taojV4CYSMWhJV186NmjdDWcQ6BqoN5GDiEqxp5CAACmGdlorvye4NJ7PoRu5BicBWVI+jxuoQYpX6uVKdWOL7VB6wIYvQZxrgEalVpv1DpRT3KYVZNkdFVUKFw5A3WhM+8HCA8dwrcVbX5TYXsNq+yi0c/yaXL1pesUlORLGJF4kqxVJ4WiuuLOacOBM2qzrR7H6Vuy5LblFS1xKwRNiL7EvQXrxhhvIyS202le8vOtKK0o0ISuV//pJvbmWrdjXOgdv/hNb5uTbhHUfRj2aF0nlriEJCwLJKjHGlFZmXYosq/QqKWKkRWNogAEIDHy9E4heMiG+ggnDWiGXvRyAfYyoQ11L9tMK8Mxkr0HDhxhq3xgfgGq5c4QlqjfsVgc7WlszWolkERhDM6k8f7ghcrPbQX8NdlfckGgiVRxoaxlfPFKXdfRAx3+fFMgmhPs2cUEV15qxLmRokpPna0CG/7yG0aBAAAb9SzV1Pm3C8XA4JFWGLL5hp/QZa17G6PLs48kg+GFgYJAOe+lFUMTfq115YdMlI2uTUVSk+VCL9xMXDp0GVI73lvWnQLNERGt3aQ89GCr384fObk6RP7s/hOEdaEyvt5Xp+h7x9qO/XX5U/fXvEluVo0WG/gTYbP3/g09unY/8ysMp0Q8FfMEdUX69g+bfidg0aU/xm16DjAqQVj7/0gu+bzYbTiJSU1m6lZxJHOgrxCR6MR748wXPz267+9AICpdTI2yHBA2y6dOVnoYzk2yCCEJmZbOjiW4wDBy1et+JwikCmxkTAyMaLIysgajFw+35k9R4vR1LZG0WuvEQQbntTv2SmzH21X6dODsU6HSKI3hBgQAxtWIdbWEK9XFaqGjXjkQVVrjj6iiOTpEwCwFhkFNNG84lvHclKeCmz+9fPqAMCeNOW/bgwEK9ciKGBkqQhdLKGu/am8YB9KDNZCUEDLW0f5lTUJTaQCtVvnPikjC6XBi5LIQ4CzK+xLku2XSN1ks+ba0fdaNBjavAxK+wBNonmdR2PBYxrbZ6mFy9RcG4e+ZWRLeUKuRIABRB7qg9IcwtGAKAW/Na0g5WlVvRxl2AAAeAnXUQzv5lbc6SI4uetY9SWQmmEjsi9hf/GJEc7LbJEscJ4InCcCF6TXTiggKkoiR+ii8skU55IFbYCZWESwViRJFJVenENK+kDWNYDxDhghAkBcVoYvukbNsIkk2GrSMAJAgJBejsApFcgoeSqwV6UR7ZUQtEZUY2/4ATakv8Ia6l81mFcFSfOokpHA4XAHyBuUXuIIaY36F4NDWAdO+2nVEA9mUV1/qSqfhGWV/Dh1VUJZqs7/AYDF/L/J2SZuZXO/Mhn1/yUV8RStfEBB5KYmzfQSVWONBIiUZi3aSTxFuflWCvzZ3yw5Pnz+wrfPv7XxtLrXjJdalH4/bruZBRAoYq/+dajg1VEL3xj28rrMEmnThyc/0zp4fGGOHwD8Zzd9cX7krLmzJvlX7KPaTp7bCz86b12Yva9M/vZP1k5Y9taa95WLv/+zBFq00VX9IkBogvnHcuDF5ycMv7jhVFFQ0uhWHYA1YtNwnjPrR41kN2yevv0DS/eJ267QtWywXlB2nPFyF/+O/262mdq0MgEAAGXNu1Lk5wRcGXNE9cU483Ou75HRNHIDYIUXzxX7OQBE1X7S83fYT53L8yDGlr3HT71Tcu6T7YUUCBYBKm/UssUtjW/pevegF4Z3kh344L5lZ30AgEq1cpS2VnogyTEUgyi0hOhvbeBJvaYOT72SfaUkgBqb3/XitC6Ss8u2FVAAAk6heTMFTRAnoSgxOIGsFNeggISStIHzXmx6Zt/RrGIfqm8xeMKQZO/+P2q8XiBywgabqvPkVdMHaKC3//CIBZeoCGtFiVD0CoghzoYCxNwa4vQSChv+y0040AwPIcVdkb/42q50/u1KHGxOQLQ+Kyvr5VDKpY7fpGEeYtkVjoNOU/8Sk1rryZYwwOJJLHlQRVaso4QWw65w/u1MfLDUKNV5cjEwkdVeIh0aGg+aQdvDqTKrgk4E0VNoVPuQglL3yiR4tlg/zsIsNHptSG0aDK0XiwWOSeEhe0I/8FzCILmSXghLDHQQbiJQgLMsK2lFooAwvohum4VcyaBkKYK0cWnugCDHYB6551zFqMdiZAGKdHZq74QAyWABufdM+YMUJCFAtAZWTinucSiJci+H74sXhNyroro7DQ8CcyDJH3bDi+i+wviLRwxRXuacRMDhUA91qLaogi5O0sGpSUaCv0rCVORPIpF6BWXOHYRimCX5OY3riIzyAqKs6uWQASAuK8MVCYSNQLAJ0JADQIhwTkFucWl7MQE7SLs5VCrc9bssku6iH7H5vRx2gA3pr3CG+ncN5mVFyaTUD3hjn+YBD5arMx8Pd9fbkPTiRcJIjCzIaBQDREtJUjnWidPeigNQIa0hLIZggyLEQPSkNJGWZASUPT0yjLAv1ZKV5r2iLlLA5mg8tmLN4w7Ep7RH85GOa5QvAchum7ji95EJZf8Y99n6cZA78/4Ri3JpoPM+e3G8+p3Xpyz+SEVbD2+ZO/Dtio9F8xf5Ti176BVk0cQp24YrAaiS7D9mjZ23oYQFACAvLho7Wf7WtOlfrnkHvOd+WfbgzI254ZKLdRyYNGza1Znjn3938WsoQMBy9uCJ4nC1gjmrR0zVLpn0/LrBWgkA7bPnHt0bZsNBVfw5G558IeOvNXO/+c/Zvp9c8Ne6wbpGmtLx/3RgGPTO7uv7dh2rRw4cd9Qv5MqYE+u+ULk++bYHp42dZJQAeK/+tevDB+Z/fYYMUwSyltO/WjVGbTt38u9Vrz7x0dYsW9kKG0JoZQhLVf54BkMyqLwWuwBQeUJG95GTxjdJwIFzF/y5c1H/99efJQEEncKbKZhICcWJIZCVIhsUkBDjgsYer8x/Nl2JAHhzD++Y/OTiHTW/xxk54YItkHfgd3P/AfZ9B8105LViTkgxxNlQiHq3RsgGBcJG6HIjCMLKugWQ0mi2jnOof2OSxWfTDbQopcDkK+1L9e6w5+U4NLA5udTq0PV0GO7iABCmQGE/WjHZ4BODQ/0bksxOu66nNbEfACBMMRF0heuLlriWG9HhDu0YL4oBsAhrlQXC1qoMJXGvTpS8Wmp4xk1+qKEosQ3ymheh9xotWpuurzWxPwBXSS+EQ1BG3s+iUQIAcA6p74dEe25t+ioDDW5N8BrtmifMQOGBnTLv9RcsI8EdCe4km3qUWU1jgZ9l3jMYcCidI6M7uowvuAAQJldpW6LzXPOyiLABAACuROU84zLeKnH9EW66G6leoQgXAKHFEBc2pNTxqQGGOXUvelAAziX1/5hoC/uJaXFJJCQhQh9ILPY4tfd6dU+6EADw4YHfpZW8HCoAxGWlQJFw2ACEDjZhGngACIoexikcQ/SzqpXAWQjXcoOzoPZpHgoBL4cfYEP5S9hQ/7bBnEZpK6J4qDQZgLVJA38YLb8p6LAzmIajFz9ImtM0xVOen73Myb2A2pZa/BvOgYA1hMQQalCMGJz0fnNSN5YpkQb/NBTvVpKVv2Au9iIFlNT9M6F+LED/riKFztLzC3y7ormYenHixIkTJ069ofQnzjHju1KKf5HU5VLNDSJGzKlPvRpaX9KgYU6JbF9K0U+1k6c++4pTGQHL36zBVm9glGZ6kbbUVLiciG6lvuEPlQ1fQnHcrHqJo+FboxYSIk3sKROD7nlJbksUywdfPJpW9pdYfAc9Tpw4ceLEqUvQWzyEROKMcqfczSpGzKlPvRpGXxzexaFWS4IlKNrapVBg3rO1lac++4pTGYGIulmDreHT8IfKhi+hOG5WvcTR8K0hRkKCkiZxiCqoHu6BP01eq8g9FPElgDhx4sSJ07BBWKJbACnR+qNZ6r5pxYg59alXA+kL4VANQ/T2qNUc+CS+rUZHVJ+h/mf7ilMZIcvfpMHW8Gn4Q2XDl1AcN6VeElI/o1itDVESXJNecoz/fGxsrSFaDAFESYg2ciWO92IsFvwzoXRruBc6CnQePwgQJ06cOHHixIkTJ06cOHEaFgiHJVFYqA9HsRYpLfbNSTeqGLUmfhAgTpw4ceLEiRMnTpw4ceI0VDiEKZbW+Uf7bhQxYkesPoNer6D6TiPfmzGqHQEAgOo6TZjx2oRWsli1jpn6Llnz5fzO8lg1GCdOnDhx6giElfW263tTDWvXoyKoHmxXp3IAdSAhyiiGl5qGBBuWyv8UCCvrZdf3amABEKeBEw+bG5rKA2x99nWzDuY3q15xBLkhlwAwY5cRk0Z1TcEBAPCETmOfGtzLFLP9DJgqo3e39hmKG9I0ceLEiXOzgza3pi+5qiu7J0MZ2V1uVQum/m81qohRFUQVVN3tIbR1IyHC4i0CMgNXRyoL6FW3fek9yUvyGi/Ja7wkL310oKZ2WHtr2qICUw+6ShHKyHq4VS3Dmze0Xggrf+xq43mlalMs9a3Pvm4ewgVAJAhEb/VxQzBsQgdbLcX4twZAzIeUKgMsANSRv2r2dbMO5jeaXuKoz0ubOOpZwsrzXFR5+9MfF53fPC2jynQaM3R57bMtRRcyvdm7/nj74dZyJIIiRNXiwcXrdlguZHov7D/x1dQhjaRlBao73y26kOmt+mf/yKRw31uNExmYvvvo2b/8sd9zIdN7euee+Y92VF/3sYArYy9IbfpCNXe99I3rQuaugdpr1eS3Tc+pHDaHZtwpD1uEatqP/HLLb64Lmd6snb+/M6Storw9LHnovguZR//TRAIAoOz1/h7v8Xm9FbVQmGg8/NUlh/487L2Q6T3506/vDG2vrJBdyCm8mSJSQpFilP1Ac9sDzy//enPuqaMFS7uqat9gaBBl80GLvt5WfCHTe+FYyd7168fdrqvdgpu4YKurdAgVvfxCiLOhYJN1ZI2o9CqvEvqaEqYoLKz0Tj9qVXhL/9m7iwYiRsypT72q9uVSWOanFH2Q6LaH/DGHJFAYykqSovs2Wei+roGweAoNBCVRimr1n+8rGmSUclhJ6vt5jZfkpf+3VNdB5HyprggTAJEgEL1RBfYNFGwNn3oYUurGXzc8VfVS+4wz88uX2GYVG/v78FDH2m9c0HS3XMsT0QAAIABJREFU6b28lL58w1rUXg7XYDS1CFL9eHHaorzGS/LTpthUKSEn+VUlRBnl2MJG11ZFXy/Vd6HQmEZo+d2XxNTxgZemjp/QzQiQW/UHjV/47JOZTQ+9+9KS05reM2fM+Qkv6fj6IQcnVIRoui5e9+ags188N3J3vqrDuDnT1y73/d+Dn2eT4Mv65IFHN8jKlZBmDJvz5VDXjyecN9Ppin8QacaQBePbXljz/qjTdmXbwW9PfW0Leb7dzEwvCLoy5tSmL0TR6YVlW0abqoUEJtcouHMznpi1y8kBAEc5LgXCFGGmfl+tnX7XiS+eHrXfknrPzLdm7VRYO7y018qCxNA0ESD9wZ6NVly5JG01qqcG5KmNVSj4xF1AAGgGJ8zbPnxtViGVePuQOZNmbvKevf3dbL+gUwQyRaSEosQAAETReuKyj2dmnFmzfvXETy7nF1701a5BXuS3vb36rbGurW+Mn3vEhqe1uaNTwOEXa3UAscFWR+nAE718iLShAHVkjSj1ErqmCBVFBEEq27H0PiVNi6gcOxqIGDGnPvWq1heD0kUoYMBQIX+N0PtMVy8yXJGozzvz6cXi7o9Tg3qEKo7dvVV99hU5CEsMKzG0lzrXJvntrKy3XT/GzM1PdhY1mGlPmACIAIHojS6wb5xga/jUx5BSN/660ammF87iBo7carLncXiGT9PfktJSX/ypmhKdbg0GRB1U3uvU9g5gALzaROPliBqMvBbKKEeX6G+ROdck+b20YoAtYSLLvGP0V7vTqy4hhxoZ5Iq+dJOMlTDSDi79Y8U4nWo+FrNn5mVLAESLKfPGdz/59ajpnb6c37hyubzNqKm3+zaOfePdvS4ODmbJbzvx0nMPLPp7XSkrVNSsz736ohXzVnyXTQKceXl+3+FLu7dXf5Ft5VhPwbFjBWWNS5o+9u7gxCMLxi0+E6ghWTVQdZtHFr71/KjbDJi/KMtiBMivVCrrv2iHQ6eRsM6sXaum/HfNQWfZlAJvMmzB9hm9M5QogPfiwS2z31j2XSEJAJjpnvc/mPBQ+6YpShRYZ9au1S/NXL3PXmMigic9Mn/tmj7nJg2dtiKXFGgQADV1Hz1rzL13d2jWSC/HAejiX0Y9+NqOOplh80LmrLqnxyqKYgEA9p4Idu219o4OKXhmDi3kypiLUYu+0KT7Zm4c658zZuHg/71bZZOKQk/4C05knT9dY3rEU4Saeo7qrzgz9fXPtxSyAFnPKLqcnTtmwHv715ayEkNj5ZXdR4z97k/+Zo1pQE/P/kNIk5YGHEpJkTrThd+8+U753w+eV9x795LbM9RItp8TdAp/poiUUJQYgKh6vLb4VeTT7v03XQjGokF+JMmdepv8P766YNkBLwDAkUObo7ByCMQFW92kA2/08iHOhgKE1QtPGbhq01sD7OseGrX4gJuLrFbUeglcU4SKIgJt7JHLcXdmlY/oIm0sqR+wKAZskcK1McF1qUJKCa3ob9P1COAyhLmicH2nd19GAQBJcyaOdREJHGclfLkc0TGIuuTOlQZXPgoAgDFEH7uut0+qAs4h8/6UYP9bwnHhxCBI1VCb9g4SQxG6CMMAKnuRT0IkwWMc75AbWABgLYR3W4Kj7PvAKCMfatW1JyVaFgDYIoVrc4Irp6b1OayjLfkpP7kh2XIQ5wQaBAB1QDPQrWgZlOhZBAVgMd+KFEtWlTar6yUhdW8UK7OTrm6UcQCIyZX8hpP+PM18BgUAUATVj9g1HUgMB2BQ+pLG/IWm/IZSRF8C6D3Js21lO6TYY6bCNUS1KkgzR9KblETDcRbC/Z3BmYVV+0GIvrSe5LnlbQIAszf56hYpB4B2KE0bQ3k+SLXnl83TWPkzhYnp6uL3dJRJMGyi7wv4/SUgBkkJepkPCaVozdIHdK4TUg6A3MLJO1mIVNZZFO6GkieJAIS8LCQhwuFtXbr7vPImNALAeSW+TSZrZjgxxGWlYFHosBEItsiysoEGgDB8TkEZ+VCLviOJKzkAhL6kdH2n8+RHsVmtmjXEj718A6zg4BCJof4tg3mZiYqlwRw0mCP356DJkx36DorSI9iNpVfN9iV9bNpmUvdKg+xxK9++wprW4BcjogajEEMdULXhyE0JzuM4gIy0cMRsm6Yt4/+7yqAX0l+cDyfzpSwAeUWCtrqq6xZEMxWsxps0x4r9nFK0U8IBAEqrpl1NoA2FHyqZaEaBMrMGsv/b//6er6z5vbja7AJL7tQ5hT69+WzyGz/8mffZ/ezBPZexVvffQggWAWnJKeBSBtzfQoUAoJoOPZoiVw5ne6qN1YYHXxvfpXD1pHWXq006aoKZ7lux/o1HJbunT5j02JvfZVHVrxWXdix96tnxj87+meozedOcbrryFVbGmvn9nGkv9n1kdP+JX51r/eTXHw1tigEAYKpb7unazPbNrEfGTHjirV1s30kb3+5lqBZk0vSRC1av6n3u5ZGvrMwlhRsEkKTdPXJMD2zn0rmjnn6u/1MTn3rnf8fctRqRRcGWTycAANNnJGLey7lWBoT9FWvE9yVJH7zi3dt3Tpv+RU6wWrhoknV4wK8yGVTVnc9XhCr0CmA9JZ4yg7CWrJNFaOMuaVIAVGlMkDqPLP/bOKJno/aDuri27jxDKtM0sXijBK5p1eexZ1sGD2w7aS/Xgc8pAplSawmjEQNNvPu/w5M508jtfx3xntl7YtW0RxpLa9OgALTtQpZH3vPRu28hYvIcRFyw1Uk68EevAGJsyE94vYjGPfqaUKJVz7sS8QhridGL95oiWBQJrLRbALUofeaq4WNROFYnlq5I8DJ+3XM2edmJGYSVDy8x9mGCO4ylXyZ4Sb9+UqkmiQMAREPK9BLHp0m2PFLZAdzLE53WgG64D0cBEFY2pMR0Hx3ckViyNNF+ilOOKtU3Z8OIgTKKJ0oTOoP/e6N5pd5bhFQP75ASAnBemedHQ+mHycXLjK5iUv20RWUoF17SMiDxqaxfmMxf6X2sT/ecTV59/zCH32FLHu2ntiRZ/iy/b+BtEADR+dXd/JCtta4wlS4zmVfr3dVv5XnMGxpO9rBZ3xb1rDOVLEoqWZHgOiJjKoI3xn05FZb3UoreT3TbeH6AoIFfDeYvDa5SSvNcqTa9WqSG6sutsLyXUjQvpWih0eup9NNcJcky8rYV2zhlpKI5x5xWUJRg2IjqC/j9JSCGQC0haIxyAN7WL5EBAKBpAQngweJwczn+JAJBL/NLyOFdLMnPOmVehWNtYulnidatan/YKaW4rAxbFDJsBIItoqxsqAEgBL9TEFbSMog71JbPTKVf6QISb8IUszox8nvb6tYQOfYKDLCCg0MEhvqXDuZsntpTwsm6BK/vLb8x9KoJQm5NKfzA4DpXfeVX2Br8YkTSYBRiIBIGBWBdFYp4pEEn4E2rnS8Id0HkgKUrZu1uma8Q8HZBrOyfBCVPBuqUjI1yzllxE8hxISviCelacJ4ys9qMNMKAJ8ucBVZQphmkCDD8RT66cOsLb3XbPmtt1l27dtpbP9Iha+rjy09XnejLWoyY3Rf5aeI3p8LuAAC8yQNjH1CcmvTCuyuusgCHso0DRkys/IPg+V9/+mGfF+BoUYs+ex/u3544sM8PAJzn4t5NFwEA4GR2nun+ga/3aK349rK7vNblg7t/3u+F/UeuNO2175H+7Yjde8p3PwOqaTvly4VvNt4zdshbG/Kv3aoKNwjgzNqwaedfDeHrkIiy8/Nvz2h8cs74P+0cCLrSF+uFCrF94elPL5iasXXyY3sdjLp6mVrjL8HvW//LIAT8535b/erM5b+aGcEiuujw4SJ0+LQnOx36PNOMapo2M8gAl+MIAKZL0WCU9eD/jr3+0qjxGu/GiVcSH1FmaGu5BIA3G7P21ButAMD+25uP/y+/+v6h6k4B/kypjYRRi6Fs1fcO3L7rxy8/3Z/rUbd/du6MNau53AGLjwVENigA5zw4+bmPV3749sn9j29et/7jtb/8ZRa78wJAbLDVQToIRW8ERGNDASHC6uU59tGYBeaurl1fXKYiqiVWL55rSpiisBCk6laW3qOotpePK1X4ThIsQNBJKaZ5FamcPwcBvVfbhSG/S7LtwTmAwCUMm1Gq6Uu618sAAGiMuiILyiXQBiMvySm9RDeAxHCglT59d9a/Ktl+EgWA4GUJ2uKq9i7ScYFg+cVAEnzadmxwg9F2EAeAQDGr6OQMLyEABCX+zLITmVLSxijaOeRJrNtaMY+yEv5sggUiYKPlL3mVqZz/QsX9AcJK+5iNg2j/2mTb0UrPDQQbBMDIoyrfZZ6bDB7zhgbhMB0LXmngPBH0AgDUWMyPXV8sSpeggAHD82Puosa5l2AB/Dk4NqNE1SfoWiPkr+ttAoCEYysvu3kITy4YOvrxXRKKAbSJV67APIclHAAC/GFDiuoL+P3FL4ZQrTKkLFp2qeCAC6Dl+cbinvV6Yrw9eWbAl41KOwbJTUnOq5W8E7IWfxJVhByPl/kklAW1D/uRM4ai5Uom8j1XOjFZCeGKQodN2GATyEq+vuo5AAQI6eVwTuHsROAswQIRyMHRGWbtvaTnG1lEw3hIa0Q/9nICA6ywv8Ia6l87mDMoZUOQBBpDgb2B9ApJ2FgMaQ0BMcTdo/DU4lxEwAmqvm7ZZU3QDaiBwnBAqr2IQdhfUkbW2alNh+BGKcsBcJj/iFT/sFemVtFOQJL8Mhzzno9qwQLg+hJAGLxHxt07cDZVUqx8KKIiVJGekSYr+G3Zj2f1d7VAErqOHtJ+8weHbdeHFsX/PTW8uWX7C3usEVwDZE07p0Ph+r8sYX9LFZ0zgyZZJwHwAwCe0vPp+VOG9m2dpGHd5oAWcA8RYoikis6aQWXUXneIbMDCzwdQB567f/aG4sqdRtjgPw2q6T5h2dZxyq+eH/vxparzKwFXxpzo+kJT+r86N2P3Uy8ed4UIY/LM52NbfA6AqZt3G/rOwik/rKQ7D11xlhIq8p369MnFTdZNXXFpMgAAMACQn+diADCNSYnRQduJ7w82+uIx85I38wNPMKhaS6DgqsVGcDp/y8tdj6e26Nj/pWmz9nxEdR3/Y/61q31Ip/BmSm0kjFYMVJ1ikkPuxm927nUAwPnpszsPXj3gsZafHDsZFKmXEKztyPLBvTa2veeh58dO/X3chB9mjXv2m0u+8BUFERfYMUsH4egNWztaG4ZDQC+q+OcvF/8caa3a6RV70AwPQQhtHeecEgZYTM4BIKgxKAHcnVNxXfRL/VdB2SiIYbLrOXStIaZshgdIYgBHWekzBVUOKQQZBLn+45piIIYgDrj7cvhDepUlBABEG1APdqhaUbgcWDeCAhcM9YomzlWlFgAgba2mthBYl2o9WqXTCBsMSVjzVpUJ9f+g979gT3rbGzym9B5Qe3OxyFd3ousrcoISfxGoUkkUI67NtaLri8UCBwhutFduUFNmTtbdj5aqvVer3o/WCJtrRKsXr78ExRD0MkuMLjS1K+tf4ng32VXx+itUT+MY7tujIBUBCcISXb2y47qAV6iWQBLRgtuV+CRE9EGpAoKH5FHM/8Vm5TXCOyVU2ISlZlZG1FdV6iAABAjt5Sic4pX5CkDROHwAlCFkjajG3ogH2GqENVR8ML+x9BJHSGvUnxik1LlKKxnjTHrz+loSbat6aoPHX8it5vQlZX/FAr8nWg+VTdsR+oSKfNimasV4/0bx1gHUI/eVRL2zNswSAG0rcII2xSjlSEdRIYAsPd0A3iNWkhMqQrQ9Xl31BPPufa8tvULD6jUfDllydMHsyduGzj5bcXeraje2n75w85bMyB6YcxwHgEbyJkSGZgBBMQQAQJrx+OaV402/fDRu3qFcv6zZoDfXjQ1di2VZAKSSO9hTW35Chz6waP4T2eO+Pu4td0nkDf6ToLq7p3/5w2h22TNjZh10VIzRAv6KOaL6QvX3PNVTa4Tvjwy6/p8f7s6/59nWrxy9vnGOcefsXzNuTrd+Sx8YlL76bG6l9bKaRazrz0/G3bJcm5asQX3+plO+/WnA6X0FJIBSaVBwJM14M6ePfGxp8MolMilAIwqtDAOozVlwyllwKrPgVOaR/eb0C4vGDGv08+LLNACfUwQyBauNhFGKwdEkA6BKUmHgYACANOdZoE8jLX7tsV6UDUYA48z69etJv21eNWHVvjmzf90zZuVVcYYXF9ixTocIozd0XbE2DEGsrVEbveoAhJV186NmjdDWcQ6BqoN5GDiEqxp5CAACmGdlorvye4NJ7PoRu5BicBWVI+jxuoQYpX6uVKdWOL7VB6wIYvQZxrgEalVpv1DpRT3KYVZNkdFVUKFw5A3WhM+8HCA8dwrcVbX5TYXsNq+yi0c/yaXL1pesUlORLGJF4kqxVJ4WiuuLOacOBM2qzrR7H6Vuy5LblFS1xKwRNiL7EvQXrxhhvIyS202le8vOtKK0o0ISuV//pJvbmWrdjXOgdv/hNb5uTbhHUfRj2aF0nlriEJCwLJKjHGlFZmXYosq/QqKWKkRWNogAEIDHy9E4heMiG+ggnDWiGXvRyAfYyoQ11L9tMK8Mxkr0HDhxhq3xgfgGq5c4QlqjfsVgc7WlszWolkERhDM6k8f7ghcrPbQX8NdlfckGgiVRxoaxlfPFKXdfRAx3+fFMgmhPs2cUEV15qxLmRokpPna0CG/7yG0aBAAAb9SzV1Pm3C8XA4JFWGLL5hp/QZa1bHpGF2ceyQdDC8P15RVl6wF9NZYdO3LDHwIAAAhcOnQZ0nvemxbdAg2R0a0d5Hy04OsfDp85efrE/iy+U4Q1ofJ+ntdn6PuH2k79dfnTt1d8Sa4WDdYbeJPh8zc+jX069j8zq0wnBPwVc0T1xTq2Txt+56AR5X9GLToOcGrB2Hs/yK75fBiteElJzWZqFnGksyCv0NFoxPsjDBe//fpvLwBgap2MDTIc0LZLZ04W+liODTIIoYnZlg6O5ThA8PJVKz6nCGRKbCSMTAzOfSmrGJr0a68tO/qnbHJrKpSeKgnxHtTIGoxcPt+ZPUeL0dS2RtFrrxEEG57U79kpsx9tV+nTg7FOh0iiN4QYEAMbViHW1hCvV50gD6pac/QRRSRPnwCAtcgooInmFd86lpPyVGDzr59XBwD2pCn/dWMgWLkWQQEjS0XoYgl17U/lBftQYrAWggJa3jrKr6xJaCIVqN0690kZWSgNXpREHgKcXWFfkmy/ROommzXXjr7XosHQ5mVQ2gdoEs27Ak9jwWMa22ephcvUXBuHvmVkS3lCrkSAAUQe6oPSHMLRgCgFvzWtIOVpVb0cZdgAAHgJ11EM7+ZW3OkiOLnrWPUlkJphI7IvYX/xiRHOy2yRLHCeCJwnAhek104oICpKIkfoovLJFOeSBW2AmVhEsFYkSRSVXpxDSvpA1jWA8Q4YIQJAXFaGL7pGzbCJJNhq0jACQICQXo7AKRXIKHkqsFelEe2VELRGVGNv+AE2pL/CGupfNZhXBUnzqJKRwOFwB8gblF7iCGmN+heDQ1gHTvtp1RAPZlFdf6kqn4Rllfw4dVVCWarO/wGAxfy/ydkmbmVzvzIZ9f8lFfEUrXxAQeSmJs30ElVjjQSIlGYt2kk8Rbn5Vgr82d8sOT58/sK3z7+18bS614yXWpR+P267mQUQKGKv/nWo4NVRC98Y9vK6zBJp04cnP9M6eHxhzrUn/pJGXTsagtk7L0V4w83kb/9k7YRlb615X7n4+z9LoEUbXdUvAoQmmH8sB158fsLwixtOFQUljW7VAVgjNg3nObN+1Eh2w+bp2z+wdJ+47QpdywbrBWXHGS938e/472abqU0rEwAAUNa8K0V+TsCVMUdUX4wzP+f6HhlNIzcAVnjxXLGfA0BU7Sc9f4f91Lk8D2Js2Xv81Dsl5z7ZXkiBYBGg8kYtW9zS+Jaudw96YXgn2YEP7lt21gcAqFQrR2lrpR0EHEMxiEJLiP7WBp7Ua+rw1CvZV0oCqLH5XS9O6yI5u2xbAQUg4BSaN1PQBHESihKD85/d9MX5kbPmzprkX7GPajt5bi/86Lx1l0jRDQpIKEkbOO/Fpmf2Hc0q9qH6FoMnDEn27v+jxusFIidssKk6T141fYAGevsPj1hwiYqwVpQIRa+AGOJsKEDMrSFSL/5rimCRMGiGh5DirshffG1XOv92JQ42JyBan5WV9XIo5VLHb9IwD7HsCsdBp6l/iUmt9WRLGGDxJJY8qCIrLlehxbArnH87Ex8sNUp1nlwMTGS1l0iHhsaDZtD2cKrMqqATQfQUGtU+pKDUvTIJni3Wj7MwC41eG1KbBkPrxWKBY1J4yJ7QDzyXMEiupBfCEgMdhJsIFOAsy0pakSggjC+i22YhVzIoWYogbVyaOyDIMZhH7jlXMeqxGFmAIp2d2jshQDJYQO49U/4gBUkIEK2BlVOKexxKotzL4fviBSH3qqjuTsODwBxI8ke84SXqvsL4i0cMUV7mnETA4VAPdai2qIIuTtLBqUlGgr9KwlTkTyKRegVlzh2EYpgl+TmN64iM8gKirOrlkAEgLivDFQmEjUCwCdCQA0CIcE5BbnFpezEBO0i7OVQq3PW7LJLuoh+x+b0cdoAN6a9whvp3DeZlRcmk1A94Y5/mAQ+WqzMfD3fX25D04kXCSIwsyGgUA0RLSVI51onT3ooDUCGtISyGYIMixED0pDSRlmQElD09MoywL9WSlR7ai7pIAZuj8diKNY87EJ/SHs1HOq5RvgQgu23iit9HJpT9Y9xn68dB7sz7RyzKpYHO++zF8ep3Xp+y+CMVbT28Ze7Atys+Fs1f5Du17KFXkEUTp2wbrgSgSrL/mDV23oaSa8aVNr4tGYp/vhzxa/NYx4FJw6ZdnTn++XcXv4YCBCxnD/4/e+cdH0XR//Hvlrvb63e5y6USiNKUJuAP6ahYAFEBRcGCIvqo9PIo6kMVUbAAKlZA6T4PTQVFEQsdVCBSQksgkELK9X63t+X3RxJIud2721zigft+8Ud0bmY+8/1+Z3Zndmb3WFmkLhnMX/XIFO2Sic+vG6KVAFA+e8GRPeEebXLiz9/w5AvZv6+e+9W/zvT/OM/f4AIbG2la5//TgWHw/F1X9+06Vo0YNPaIn8+VcSfedaFyfWrH+6eOmWiUAHgv/77z/fsWrjlNRkgCWevpX64crbadPf7Hypef+GBrrq1yhQ0htDKECdX8eAZN0qi8AbsAUHlSds8RE8c1T8KBdRcf3LFowDvrKw++8DiFs6dgAhUKkwHk+UVjJsnnTZ2+bPV88J79aen9MzdWnrEQWCCPQowNGnu/tPDZTCUC4C34c/ukJxdvr/89zuiJFGyBwv2/mgcMtO89YKaizxV3wsoQZkM+mtwa4QvkuabwJfGBMLIeAaQilq3jLOrfmGLx2XSDLEop0EVK+4d6d8Tzciwa2JxaYXXo+jgMvVgAhC5W2I9UTza4ZLCof0OK2WnX9bEm3wsACF1GBF2R6qIkruVGdLhDO9qLYgAMwlhlgYi5ahKSuFclS16uMDzjJt/XhEJCC+Q0L0LtMVq0Nl1/a/IAALZGuxAWQWn5vRaNEgCAdUh93ybbCxpSVyVocGuS12jXPGGGEB7YIfNefcEyEtye5E6xqUea1RQW+FHmPY0Bi1L5Mqqzy/iCCwChC5S2JTrPFS8LCBsAAGDLVc7TLuNNEtdvkaa70bYrHJECILwMYWFDSh2fGOBhp+5FDwrAuqT+75JtET8xLawT8SlEqP3JZR6n9i6v7kkXAgA+PPCrtIaXwwWAsF7Jk8QfNgDhg42fBA8AXukRnMLSxL1WtRJYC+FabnAWN7ybh4PHy5EH2HD+4jfUP20wp1DKiigeqEgFYGzSwG9Gyy8KKuIMJnHaxQ2S4TRN9lT1z77m1L4Q2pZe9gvOAo81+GTwFShEBiu9x5zSg6HLpcGDhrJdSrLmF8yFXqQgJHX/SKgfC1C/qsiIX9YLK/gWRUsh+URERERERJoMpT95jhnfmVb2k6Qxl2quERlxpynblWh1SYOGOeWyvWmlPzRMT1PWJVITHstfr8HWZGAhzfRSbYWpZDkR20p94g+Via9QGNdru4SR+NZogEKkuT1tQtC9IMVtiWH54PNHMyr/iMd30EVERERERBoT9EYPIZE4Y9wpd73KiDtN2a7EqIvFuznUakmwHEXbuhQKzHumoXqasi6RmvBE1PUabIlP4g+Via9QGNdru4SR+NYQopAISVNYRBVUD/fAQZPXKnAPhbgEICIiIiKS2CAM0SOAlGv9sSx1X7cy4k5TtitB6kJYVEMT/TxqNQs+iW+r0RHTZ6j/3rpEasJn+es02BKfxB8qE1+hMK7LdklI/YwytTZMSnB1ZvlR7vOx8bWGYBk8CFKINnMlj/NiDBY8mFSxNdILHXkqFw8CiIiIiIiIiIiIiIiIiCQWCIulhLBwH45iLFJK6JuTrlUZDUY8CCAiIiIiIiIiIiIiIiKSqLAIXSZt9I/2XSsy4kfjf8m5EUD1XUa8NWNkewIAANV1GT/jlfFtZPEqHTP1X7J62cKu8ngVKCIiIiLSSCCMrJ9d3y+UWLseFUH1ELs6nQVoBIUorRheYRoaTKwm/10gjKyvXd83wQJAJMERw+aapuYA25R1Xa+D+fXaLhFersklAMzY7ZGJI7un4QAAeFKXMU8N6WuK234GTJXdr0eHbMU1aRoRERGR6x20pTVzyWVd5T0ZSst6uVWt6Ka/1aglozaIKqi63UNoG0chwuCtAjID20hN5mlX49al96QuKcxaUpi1pDBzVKB+67AO1oxFxabeVK0klJb1dqtaRzZv+HYhjPyxy1kLKtSmeLa3Keu6fogUANHAE711xw3esAkfbA2U8U8NgLgPKbUGWABoJH/Vr+t6HcyvtXYJoykvbcJoYoU157mo8panPyo9t3lqdq3pNGbo9sqnW0rzcryndv72xoNt5UgUSYiml+63AAAgAElEQVSq1f2L12235OV48/Yd+3LK0GbSKJJEGgym7zlq9k+/7fPk5XhP7ti98NHO6qs+5nFl/IU0pC5U02vaV668nJ2DtFeyyTtOz8/L8V75d2jGbfKISaimw4hlW35x5eV4c3f8On9oO0VVeVjqsL15OUf+1VwCAKDs+85u718L+ika0GAia/jLSw4d/NObl+M9/sPP84d1UFZr53MKZ3cQqFCgjMofaDre9/zyNZsLThwp/rC7quEFhgdRthy8aM22srwcb97R8j3r14+9RdewBTdhwdZY3SFc9HKLEGZD3iIbwxocV4fI8FgjJkPVhJHe5ketCm/F33t3kSAy4k5Ttqt2XS6FZWFa6XvJbnvYH7NIUghDGUlKbN8mC1/XFRAGT6OACEmUgkr9++uKBVlI+XB5+juFWUsKM/9ToeskcL7UWEQIgGjgid6YAvsaCrbEpwmGlMbx1zVP7XapfcaZRVVLbLPKjAN8eLhj7dcuaKbb9FZhWn+uYS1mL0cqMJZcBKl+vCxjUWHWkqKMyTZVWthJfm2FKK0cU9LsyqroqxX6biE0rhFadTsnMXW+b9qUceN7GAEKav8g64VPP57Z4tCb05ac1PSbOWPOD3h551cPOVi+JETTffG61wef+fy5EbuKVJ3Gzpm+drnv/+7/7BTJlyTScKTZQ98e1y5v9TsjT9qV7Ya8MeWVLeS59jNzvMDryrjTkLoQRZcXlm4ZZapz4AaTaxTs2RlPzNrpZAGADTkuBCIkYaZ7v1w7vdexz58euc+SfsfMebN2KKydpu2xMiAxtEgGyLy/T7MVly5I24zsowF5epYKBZ+wCwgAReOEedv7r8wqCSXfMnTOxJmbvGduefOUn9cpPN1BoEJBMgAAUbSdsPSjmdmnV69fNeHji0Ul530NK5ATecc3Vs0b49r62ri5h214xs23dgk4/EKtDiA02BqpO3BELxcCbchD/K3BfXWICI81YjRUTQhS2Z6h9iopKva8cSRBZMSdpmxXnbpolCpFAQM6FPbXCLXXdPk8zZYK+rwzV7sY3P1RelCPhMrid2/VlHVFD8IQD5cbOkida1P8dkbWz64fbWYXpjpLE2baEyEAooAnemML7Gsn2BKfphhSGsdf1zp12oUzuIElt5rshSye7dMMsKS11pd9og4J7m4JA6IOKu9yavsFMADO1sTi5agKjD4XSitHletvlDlXp/i9lGKgLWkCQ883+uvc6dVVyKJGGrmkr9gkYyS0tJNL/1gZTqWbj2JRK4pA5RIA0WrygnE9j68ZOb3LsoVZNdPlN4+ccotv45jX3tzjYuFArrzjsWnP3bfoj3UVDF/SDXfepS9dsWDF16dIgNP/Xth/+Ic9O6g/P2VleZJ4haLqmx96d97zIzsaMH9prsUIUFQjVTZg0XaHTiNhnLk7V07+z+oDzsopBd784be/n9EvW4kCeM8f2DL7taVfl5AAgJnueOe98Q90aJGmRIFx5u5cNW3mqr32ehMRPOWhhWtX33l24rCpKwpIngIBUFPPUbNG33V7pxua6eU4AFX208j7X9neKDNsTsj8lXf0XhkKMQAAe44Fu/dde2unNDwnn+JzZdxlNKAuNOXumRvH+OeMfnfI/96stUlFoSf8xcdyz52sNz3iSEJNfUYOUJye8upnW0oYgNxnFN3OzB098K19aysYiSFLeWnXYeO996R+tdo0sI9n3yGkeWsDDhVC16Kokq9en1/194FzirtuX3JLtho55Wd5ncLdHQQqFCQDEFXvVxa/jHzSc8CmvGA8CuRGktqln8n/3ctvL93vBQA4fGhzDFYOg7Bga5zuwBm9XAizIQ8R24WnDVq5ad5A+7oHRi7e72Yj5+K+OkSCxxoxG6pm3iyPXI67c2p9RBe52ZL+HoNiwJQqXBuTXBeqC5VQigE2Xe8ALkPoSwrX13r3RRQAkAxn8hgXkcSyVsJXwBKdg6hL7vzC4CpCAQAwmrjTruvnk6qAdci8PyTZ/5CwbCQZBKkaZtPeSmIoQpViGEBNL3IpRJI8xnEOuYEBAMZCeLclOSq/D4zS8mFWXQdSomUAgClVuDYnufLrG4vFOttSn/KTG1ItB3CWp0AAUAc0g9yK1kGJnkFQAAbzrUiz5NYqs267JKTutTLlqZTLG2UsAGJypb7mpD7LMJ9GAQAUQfVDdk0nEsMBaJS6oDF/rqm6oRRQFw96T+psW+UOKeaoqWQ1UScLcoMj5fWQRMOyFsL9tcGZi9X5QZi6tJ7UubYrmxDpPamXt0hZALRTRcbokOe9dHtR5TyNkT9TkpypLntLFzLxhk3sdQG3v3hkkCFeL3MhCSnaMtR+neuYlAUgt7DyLhYinXGWRrqh5OhEAHxe5lOIsHg7l+5ur7w5hQCwXolvk8maE0mGsF7JmxQ+bHiCLbpemaABwA+XU1BaPsyi70ziShYAoS4oXV/rPEUxjNp1rCF87OUaYHkHh2gM9U8ZzCtNVCYN5qPBfLk/H02d5NB3UlQcxq6tdtUvX3KnTXuD1P2FQfa4lWujYn1rcMuIqsAYZKgDqptZclOS8y8cQEZaWGK2TdOO9v9Ra9AL6y/Wh5NFUgaAvCRB21zW9QiiOQpG402ZY8V+TCvdIWEBAKVUUy8nUYaS95V0LKNApVkDp/4z4J4+L63+tazO7AJL7dI1jTq5+Uzqa98eLPz0HubA7otYm3tuJHiTgLTkF7NpA+9ppUIAUE2n3i2QS3+e8rD8STxgprtXrH/tUcmu6eMnPvb617mhuteKC9s/fOrZcY/O/jF056RNc3roqlZYaWvON3Omvtj/oVEDJnx5tu2Taz4Y1gIDAMBUN97R/QbbV7MeGj3+iXk7mf4TN77R11AnyKSZI95etbLf2X+PeOmLApK/QABJxu0jRvfGdnw4d+TTzw14asJT8/931N2gEVkQTNV0AgAwfXYy5r1YYKWB31/xRnhdkswhK968ZcfU6Z/nB+tc2jWpOjzgV5kMqrrO50pCFXoFMJ5yT6VBGEvu8VI0q1uGFABVGpOkzsPL/zA+0qdZh8HdXFt3nCaVGZp4vFEC17S587FnWwf3bztur2oDl1N4ukODFcYiA02+/T/DU1nTiO9/P+w9vefYyqkPZdU7nhNLgTxQtrxcj7zPo7ffSMTlOYiwYGuU7sAdvTwIsSE3kdtFZPXub0KJNn16JeNR5eK8OkSAxxqCDFUNI+0RQC1Kn7l2+FgUjlXJFSuSvLRf95xNXnliBmHkw8uNd9LB7caKZUle0q+fWKFJYQEA0ZAyvcTxSYqtkFR2AvfyZKc1oBvuw1EAhJENLTfdTQW3J5d/mGw/wSpHVuhbMhFkoLTiiYqkruD/xmj+Qu8tReqGd1iFAKxX5vnOUPF+atlSo6uMVD9tURmqxEtaByQ+lfVzk/lLvY/x6Z6zyevuH2bxW22po/yhLSmWg1X3DZwFAiA6v7qHH05prStMFUtN5lV6d91beQ7zhoeVPWjWt0M960zli1LKVyS5Dsvo6uCNc11OheWttNJ3kt02jh8gaOBng3mZwVUR0jxXoc2sE1jh6nIrLG+llS5IK33X6PXU+GmBkmRoebvqbZwyUtGSpU8qQiHesBFUF3D7i0cGTy4+KCzkALydXyIDAEAzAhLAg2WR5nLcnQh4vcytkMW7WVKfdcq8Csfa5IpPk61b1f6IU0phvTJiUtiw4Qm2qHplogYAH9xOQRhJ6yDuUFs+NVV8qQtIvEmTzerk6AfuutYQOPbyDLC8g0MUhvqHDuZModpTzsq6Ba/uLb822lUfhNyaVvKewXW27sovvzW4ZURTYAwyEAmNAjCu6oZ4pEEn4C3qnC+IdEFkgaGqZ+1uma8E8PZBrPI/iZA8FUInZEyMN1TVN4EsGzYjnpSpBecJM6PNziAMeKrMWWwFZYZBigDNneSjSra+MK/H97PW5vbaucPe9qFOuVMeX34yCADAk8Sjsvl9Y+5TnJj4wpsrLjMAh04ZBz4yoeYPgud+/uHbvV6AI6Wt7tzz4IAOxP69fgBgPef3bDoPAADHTxWa7hn0au+2iv9edFflunhg14/7vLDv8KUWffc+NKA9sWt31e5nQDXtJi979/Ws3WOGzttQdOXel79AAGfuhk07fk+Er0Miyq7PvzEj6/iccQftLPC60hfvhQqhdeGZT789JXvrpMf2OGh13TS1xl+O373+p8EI+M/+surlmct/NtO8SVTpn3+WosOnPtnl0Gc5ZlTT4gaDDHA5jgBgujQNFrIe+N/RV6eNHKfxbpxwKfkhZba2gUsA+A2j1554rQ0A2H95/fH/FdXdP1TXKTzdoSEKY5ahbNP/Vty+87tln+wr8Kg7PDt3xupVbMHAxUcDAgvkgXUemPTcR1+8/8bxfY9vXrf+o7U//W5uyCkgYcHWCN2BL3qjIBYb8oiI2C7P0Q9Gv23u7tr5+cVQlLk4rg78Qrit0TBDEaTqJobaraizl4+tUPiOEwxA0BlSTPUq0ll/PgJ6r7YbTX6dYtuNswCBCxg2o0LTn3SvlwEAUFjokiwol8DNGHlBHtJLdANJDAdK6dP3ZPwrU+3HUQAIXpSgrS5re5GOPILhloEk+bTtmeAGo+0ADgCBMkbRxRlZIQAEJf6cyhOZUtJGK9o75CmM21o9j7IS/lMEA0TARsmneZXprD+v+v4AYaR3mo2DKf/aVNuRGs8NeAsEwMgjKt9FjpsMDvOGB2ExHQNeaeAcEfQCANS7kMevLgalylHAgOb4MXte49xDMAD+fBybUa66M+hazeevq2UCgIRlai67eQhPARg6+/GdkhANaHOvXIF5/pSwAAhwhw0pqC7g9he3DL5clUgZtPJSwQIbQKs6MIN71uuJcfbUmQHfKVTaOUhuSnFeruGdsLm4O1F1yHF4mUuhLKh90I+cNpQuV9LR77nSCemVECkpfNhEDDaeXslVVxMHAA9hvRzJKaydCJwhGCAC+Tg6w6y9i/R8JYvquhDWGrGPvSzPAMvvr4iG+scO5jQasiFIEoWhwFxD7QpLxFgMaw0eGcLuwjhysS4i4ARVf7fsoiboBtQQwnBA6ryIgd9fUlrW1anNhOBGKcMCsJj/sFT/oFemVlFOQFL8MhzznotpwQLg6hJABLyHx941aHaovEz5QFRJqCIzO0NW/MvS787oe7VCkrqPGtph83t/2hjeJE5kLbpmQsn63y0Rrxeh0rNm0KTqJAB+AMDT+jy9cPKw/m1TNIzbHNAC7iHCDJGh0jNmUBm1Vx0iG/juZwND+5+7Z/aGspqVRlng3w2q6Tl+6daxyi+fH/PRhdrzKx5Xxp3Y6kLTBrw8N3vXUy/+5QoTxuTpz8a0+gwAU7fsMWz+u5O//YLqOmzFmRBfku/EJ08ubr5uyooLkwAAgAaAokIXDYBpTEqMCtqOfXOg2eePmZe8XhR4gkbVWgIFVwM2glNFW/7d/a/0Vp0HTJs6a/cHoe7jviu6crUP6xTO7tAQhbHKQNVpJjkUbPxqxx4HAJybPrvrkFUDH2v98dHjQYHt4oOxHV4+pO/Gdnc88PyYKb+OHf/trLHPfnXBFzkjL8ICO27dgT96I+aO1YaR4GlXqOzHZYt/jDVXbPBYo2GGAjTbQxB8W8dZp4QGBpOzAAhqDEoAd+dXXxf9Uv9lUDYLYpjsah+6UhBdOcMDJDmAo4z0meJapx6CNIJc/XF9GYghiAPuvhj5kF5NhQCAaAPqIQ5VmxAuB8aNoMAGw72iiXXVygUASDurqR0E1qVbj9SqNMoCwxLRvLU1of5v9f4X7ClveINHld79am8BFv1yUWx1RU9Q4i8FVTqJYsSVuVZsdTFYYD/BjvLKDeqQmZX19KMVau/l2vej9cLmCrG2i9NfvDJ4vcwQo0pM7SvrlzjeTHVVv/4K1VM4hvt2K0hFQIIwRHev7C9dwMuXi6cTUbzblbgUIvqgVAHBQ/IY5v9Ce+UVIjslXNhEpH6vjKqu2jRCAPAQ3ssxOMUr8xWDIityAFTCZ42Yxt6oB9g6RDSUOJhfW+0SRlhrNJ0MUupcqZWMdqa8fnUtibLVPrXB4S/kJnPmkso/scCvydZDldN2hDqmIh+0qdrQ3j9QvG0A9ch95THvrI2wBEDZip2gTTNKWdJRWgIgy8w0gPewlWT5khBt75dXPkG/efcrH16iYNXq94cuOfL27Enbhs0+E+JO4rvxZVkWAI3mTYg0RQOCYggAgDT78c1fjDP99MHYBYcK/LIbBr++bkz4XAzDACA13MGc2PIDOuy+RQufODV2zV/eKpdEX+DfCaq7ffqyb0cxS58ZPeuAo3qM5vFX3BFUF6q/46k+WiN8c3jw1f/5/q6iO55t+9KRqxvnaHf+vtVj5/S498P7BmeuOlNQY72sfhLjOvjx2BuXazNSNajP32Lyf38YeHJvMQmgVBoULEnR3pzpIx77MHjpApkSoBCFVoYBNOQseMhZfCKn+ETO4X3mzLxFox9u9uPiixQAl1N4egrWEIUxymApkgZQpagwcNAAQJoLLXBnMy1+5bFejAVGAe3M/XnNxF82rxy/cu+c2T/vHv3FZWGGFxbY8e4OUUZv+LxCbRiGhLfG9IvCDQWAMLIeftSs4ds6ziJQezCPAIuwtSMPAUAA83yR7K753mASu3rELqwMtjpzFDVeVYiF1M9V6NQKx3/1ASuCGH2G0S6eXLXKL1F6UY/yYaum1Ogqrm5w9AXWh8u8LCAcdwrsZbX5dYWso1fZzaOf6NKd0pevVIeiWcSKxpVCqTktFFYXfVYdCJpVXSn33pC6HUNuU4bqdMx6YSOwLl5/ccqI4GWU/N5UsafyTCtKOaqVyP36J93sjnTrLpwFtfs3r/FVa9IditLvKg+lc+QSBo/CykiOcWwR2CsjJtX8FRKzqjC9MiECgAcOL8fiFJaNbqCDSNaIZexFox9gaxLRUP+0wbwmGCPRs+DEaabeB+ITtl3CCGuNppXBFGgrZmtQLY0iCGt0po7zBc/XeGjP46+L+vINBEOitA1javYXp9x9HjH08uM5BNGBYk4rorry1ibCEgBddvRIKT7ooY6a7/e6WMCb9enbgj775vkAAMOdhCW3bqnxF+RaK6dnVFnO4SLo2sogAWC4k3jEBy4cuggD+tyV8cnxCzG8upLI7tEe8me8vebbSxQAcjmb6xRhfUKFPy54Zu2ptWte+nk5dteYlX/52IYV2GTgzYcv3Pg09snoZ2dWvxQRAHhdGXcE1cU4vp86/Lbqj/aBuvtnX03F3h7z9LbT9Z8Po9UvKalfTP0klnQWF7o1nV945xHD+WVr/vACAKbWyRg3zQJlu3DaBgA4E6QRQhO3LR0sw7KA4FWrVlxO4ekp8VEYnQzWfSG3DIbe20H7WbGNAUTZ/KZ0qNhQHqavRVdg9Pp8p3cfKZt4VzujBC5HOA7EQRTBhqfc+/TI7u6f39940sFEnSsmooneMDIgDjasxd9hjfoF8liDIaPv5vWRB1VtWeoXRTRPnwCAschC4CNa0kgJzgKAnJSnA5Mro+mr4wNz3FR0HAAAu5qLCIFPlo7Yj3O8XDqcjMpc8raUsySWV1JLKCIdQtt07uM4CwDOujNNHli7wr5GRT5doZ9khvdNrmKkgQWGNy+NUj5AUygUkYV/zxCFBY9qgkc1jpb2tPEOfWtlxckoBik+VyJAAyJnw8zIWISlAFGGS7qCgpRnAHPy6lsJYg0bAAAv4TqCpfRwK0iSYOWWo3XvlOqHjcC6+P3FJSOSl5lSWaC0blWIKiSRI6HSqskU65IFbUCYmCvGDJuLpxMJaxfrkJI+UHQPYCcVHM+cwwSAsF4ZOekK9cMmmmCLSUZYGicAeAjr5SicUo0sJE8H5pw0qr0SvNaIaeyNPMCG9VdEQ/2jBvPaIBkeVSoS+CXSAfKEapcwwlqj6WWwCOPAGSKoHerBLJqrL1XlUliZyY+HLkvCdEoG8/8iZ553K1uy8lTUv0Uq4P6xakBB5KbmN+glqiyNBIi0G1q1l3hKC4qsIfCf+mrJX8MXvvvGuXkbT6r7zpjWquKbsd+bGQCeJOby74eKXx757msP/3tdTrm0xYOTnmkb/OvdfD9vEg900fcfrx2/dN7qd5SLvzlYDq1u1tX+IkB4gkVH8+HF58cPP7/hRGlQ0uwmHYA1atOwntPrR45gNmye/v17lp4Ttl2iGlhgk6DsPOPf3fzb/7PZZrq5jQkAAELWwkulfpbHlXFHUF20syj/6h4ZTTM3AFZy/myZnwVAVB0mPn+r/cTZQg9ibN1v3JTbJGc//r4kBLxJgMqbtW51Y9aN3W8f/MLwLrL979299IwPAFCpVo5S1ho7CFg6RCMKLSH4Wxt4St8pw9MvnbpUHkCNLXu9OLWb5MzSbcUhAB6nUJzdAU0SplCQDNZ/ZtPn50bMmjtron/F3lC7SXP74kcWrLtACi6QR6EkY9CCF1uc3nskt8yH6lsNGT801bvvt3qvF4ieiMGm6jpp5fSBGujn//ORt6vXEOPdHfiil0eGMBvy0AjW4Lw6cBfIZ42IhuIGzfYQUtwV/Yuv7UrnH67kIeYkROuzMrK+DqVc6vhFGuEhll3hOOA0DSg3qbWeUxIaGDyFIQ+oyOoVkfAy7ArnH87k+yuMUp2nAAMTWecl0uGh8KAZtL2dKrMq6EQQfQiNaR9SUOr+IgWeLdOPtdDvGr02pCEFhm8XgwWOSuEBe9K94LmAQWqNdiEMMchBuIlAMc4wjKQNiQJC+6J6TsfnSholKxDkZpfmVgiyNOaRe85Wj3oMRhajSFen9jYIkDQWkHtPVz1IQZICRFtg5CHFHQ4lUeXlyHVxgpB7VKGeTsP9QO9P8UfcnyK4rgj+4pAhyMuskwg4HOphDtUWVdDFSjo5NalI8OdwN5c14e5EAtsVlDm3E4qHLanPaVyHZSEvIMraXg4bAMJ6ZaQknrDhCTYeEjkA+IjkFORGl7YvHbCDtIdDpcJdv8qiqS72EZvbyxEH2LD+imSof9ZgXpmUSkr9gGf5NPd5sAKd+a9Id72J1C5OJLTEyICMQjFAtCFJOss4ccpbfQAqrDX4ZfAWKEAGoielyZQkO6Ds45FhhP1DLVnjubegixQw+RqPrUzzuAPxKe2xfKTjClVLALKOE1b8OiKp8j/Gfrp+LBTMvOeRRQUUUIWfvjhOPf/VyYs/UFHWP7fMHfRG9SemuZN8J5Y+8BKyaMLkbcOVAKHyU7/NGrNgQznDn8TXUMf+iQ9PvTxz3PNvLn4FBQhYzhw4VhapSwbzVz0yRbtk4vPrhmglAJTPXnBkT7hHm5z48zc8+UL276vnfvWvM/0/zvM3uMDGRprW+f90YBg8f9fVbbaOVSMGjT3i53Nl3Il3Xahcn9rx/qljJholAN7Lv+98/76Fa06TEZJA1nr6lytHq21nj/+x8uUnPtiaa6tcYUMIrQxhQjUfatEkjcobsAsAlSdl9xwxcVzzJBxYd/HBHYsGvLO+8nQLj1M4uwMmUKEwGUCeXzRmknze1OnLVs8H79mflt4/c2PlGQuBBfIoxNigsfdLC5/NVCIA3oI/t096cvH2+t/jjJ5IwRYo3P+recBA+94DZir6XHEnrAxhNuQj/tbgvjrwFNgIIIysRwCpiGXrOIv6N6ZYfDbdIItSCnSR0v6h3h3xvByLBjanVlgduj4OQy8WAKGLFfYj1ZMNLhks6t+QYnbadX2syfcCAEKXEUFXpLooiWu5ER3u0I72ohgAgzBWWSBirpqEJO5VyZKXKwzPuMn3NaGQ0AI5zYtQe4wWrU3X35o8AICt0S6ERVBafq9FowQAYB1S37fJ9oKG1FUJGtya5DXaNU+YIYQHdsi8V1+wjAS3J7lTbOqRZjWFBX6UeU9jwKJUvozq7DK+4AJA6AKlbYnOc8XLAsIGAADYcpXztMt4k8T1W6TpbrTtCkekAAgvQ1jYkFLHJwZ42Kl70YMCsC6p/7tkW8RPTAvrRHwKEWp/cpnHqb3Lq3vShQCADw/8Kq3h5XABIKxX8iTxhw1A+GDjJ8EDgFd6BKewNHGvVa0E1kK4lhucxQ3v5uHg8XLkATacv/gN9U8bzCmUsiKKBypSARibNPCb0fKLgoo4g0mcdnGDZDhNkz1V/bOvObUvhLall/2Cs8BjDT4ZfAUKkcFK7zGn9GDocmnwoKFsl5Ks+QVzoRcpCEndPxLqxwLUrypS0DZa5BZFSyH5REREREREmgylP3mOGd+ZVvZTLJszr1cZcacp25VodUmDhjnlsr1ppT80TE9T1iVSEx7LX6/B1mRgIc30Um2FqWQ5EdtKfeIPlYmvUBjXa7uEkfjWaIBCpLk9bULQvSDFbYlh+eDzRzMq/4jHd9BFREREREQaE/RGDyGROGPcKXe9yog7TdmuxKiLxbs51GpJsBxF27oUCsx7pqF6mrIukZrwRNT1GmyJT+IPlYmvUBjXa7uEkfjWEKKQCElTWEQVVA/3wEGT1ypwD4W4BCAiIiIiktggDNEjgJRr/bEsdV+3MuJOU7YrQepCWFRDE/08ajULPolvq9ER02eo/966RGrCZ/nrNNgSn8QfKhNfoTCuy3ZJSP2MMrU2TEpwdWb5Ue7zsfG1hmAZPAhSiDZzJY/zYgwWPJhUsTXSCx15KhcPAoiIiIiIiIiIiIiIiIgkFgiLpYQwSZgUxiKlhL456VqV0WDEgwAiIiIiIiIiIiIiIiIiiQqL0GXSRv9o37UiI37E6zPoTQqq7zLirRkj2xMAAKiuy/gZr4xvI4tX6Zip/5LVyxZ2lcerQBERERGRRgJhZP3s+n6hxNr1qAiqh9jV6SxAIyhEacXwCtPQYGI1+e8CYWR97fq+CRYAIgmOGDbXNDUH2Kas63odzK/Xdonwck0uAWDGbo9MHNk9DQcAwJO6jHlqSF9T3PYzYKrsfj06ZCuuSdOIiPvsuSIAACAASURBVIiIXO+gLa2ZSy7rKu/JUFrWy61qRTf9rUYtGbVBVEHV7R5C2zgKEQZvFZAZ2EZqMk+7GrcuvSd1SWHWksKsJYWZowL1W4d1sGYsKjb1pmolobSst1vVOrJ5w7cLYeSPXc5aUKE2xbO9TVnX9UOkAIgGnuitO27whk34YGugjH9qAMR9SKk1wAJAI/mrfl3X62B+rbVLGE15aRNGEyusOc9Flbc8/VHpuc1Ts2tNpzFDt1c+3VKal+M9tfO3Nx5sK0eiSEJUre5fvG67JS/Hm7fv2JdThjaTXqlG02HEsi2/uPJyvLk7fp0/tJ0ioULkGgfT9xw1+6ff9nnycrwnd+xe+Ghn9VUf87gy/kIaUheq6TXtK1dezs5B2ivZ5B2n5+fleK/8OzTjNnnEJM5gw1KH7c3LOfKv5hIAAGXfd3Z7/1rQT9GABhNZw19ecujgn968HO/xH36eP6yDslo7n1M4e4pAhQJlVP5A0/G+55ev2Vxw4kjxh91VDS8wPIiy5eBFa7aV5eV4846W71m/fuwtuoYtuAkLtsbqDuGil1uEMBvyFhlvayRIgVdhpLf5UavCW/H3XjoSREbcacp21a7LpbAsTCt9L9ltD/tjFkkKYSgjSYnt22Th67oCwuBpFBAhiVJQqX9/XbEgCykfLk9/pzBrSWHmfyp0nQTOlxqLCAEQDTzRG1NgX0PBlvg0wZDSOP665qndLrXPOLOoaoltVplxgA8Pd6z92gXNdJveKkzrzzWsxezlSAXGkosg1Y+XZSwqzFpSlDHZpkoLO8mvrRCllWNKml1ZFX21Qt8thMY1Qqsm+xJT5/umTRk3vocRoKD2D7Je+PTjmS0OvTltyUlNv5kz5vyAl3d+9ZCD5UtCNN0Xr3t98JnPnxuxq0jVaeyc6WuX+/7v/s9OkYCZ7v1y7fRexz5/euQ+S/odM+fN2qGwdpq2xyqs34rURpo99O1x7fJWvzPypF3ZbsgbU17ZQp5rPzPHC7yujDsNqQtRdHlh6ZZRpjoHbjC5RsGenfHErJ1OFgDYkONCIEIST7BJDC2SATLv79NsxaUL0jYj+2hAnp6lQsEnNBApGifM295/ZVZJKPmWoXMmztzkPXPLm6f8vE7h6SkCFQqSAQCIou2EpR/NzD69ev2qCR9fLCo572tYgZzIO76xat4Y19bXxs09bMMzbr61S8Dhb0j3FxZsjdQdOKKXC4E25CHu1kiQAmtAkMr2DLVXSVHR5mgUEkRG3GnKdtWpi0apUhQwoENhf41Qe02Xz9NsqaDPO3O1i8HdH6UH9UioLH73Vk1ZV/QgDPFwuaGD1Lk2xW9nZP3s+tFmdmGqszRhpj0RAiAKeKI3tsC+doIt8WmKIaVx/HWtU6ddOIMbWHKryV7I4tk+zQBLWmt92SfqkODuljAg6qDyLqe2XwAD4GxNLF6OqsDoc6G0clS5/kaZc3WK30spBtqSJjD0fKO/zp1eXYUsaqSRS/qKTTJGQks7ufSPleFUuvkoFrWiCFQuARCtJi8Y1/P4mpHTuyxbmFUzXX7zyCm3+DaOee3NPS4WDuTKOx6b9tx9i/5YV8HwJd1w51360hULVnx9igQ4/e+F/Yd/2LOD+vNTVsTUZ+QAxekpr362pYQByH1G0e3M3NED39q3toJ/EoCqb37o3XnPj+xowPyluRYjQFGNVNmARdsdOo2EcebuXDn5P6sPOCtLw5s//Pb3M/plK1EA7/kDW2a/tvTrEhIAMNMd77w3/oEOLdKUKDDO3J2rps1ctddeTwOe8tDCtavvPDtx2NQVBSRPgQCoqeeoWaPvur3TDc30chyAKvtp5P2vbG+UGTYnZP7KO3qvDIUYAIA9x4Ld+669tVManpNP8bky7jIaUBeacvfMjWP8c0a/O+R/b9bapKLQE/7iY7nnTtabHnEkoTzBJjFkKS/tOmy8957Ur1abBvbx7DuENG9twKGCFNhmquSr1+dX/X3gnOKu25fckq1GTvlZXqdw9hRWoEJBMgBR9X5l8cvIJz0HbMoLxqNAbiSpXfqZ/N+9/PbS/V4AgMOHNsdg5TAIC7bG6Q6c0cuFMBvyELFdeNqglZvmDbSve2Dk4v1uNmKuuJu3wZZHszxyOe7OqfURXeRmS/p7DIoBU6pwbUxyXai2voRSDLDpegdwGUJfUri+1rsvogCAZDiTx7iIJJa1Er4ClugcRF1y5xcGVxEKAIDRxJ12XT+fVAWsQ+b9Icn+h4RlI8kgSNUwm/ZWEkMRqhTDAGp6kUshkuQxjnPIDQwAMBbCuy3JUfl9YJSWD7PqOpASLQMATKnCtTnJlV8/qlissy31KT+5IdVyAGd5CgQAdUAzyK1oHZToGQQFYDDfijRLbq0y67ZLQupeK1OeSrm8UcYCICZX6mtO6rMM82kUAEARVD9k13QiMRyARqkLGvPnmqobSgF18aD3pM62Ve6QYo6aSlYTdbIgNzhSXg9JNCxrIdxfG5y5WJ0fhKlL60mda7uyP5Hek3p5i5QFQDtVZIwOed5LtxdVztMY+TMlyZnqsrd0IRNv2MReF3D7i0cGGeL1MheSkKItQ+3XuY5JWQByCyvvYiHSGWdppBtKjk4EwOdlPoUIi7dz6e72yptTCADrlfg2maw5kWQI65W8SeHDhifYouuVCRoA/HA5BaXlwyz6ziSuZAEQ6oLS9bXOUxTDZrU61hA+9nINsLyDQzSG+qcM5pUmKpMG89Fgvtyfj6ZOcug7KSoOY9dWu+qXL7nTpr1B6v7CIHvcynUqvL41uGVEVWAMMtQB1c0suSnJ+RcOICMtLDHbpmlH+/+oNeiF9Rfrw8kiKQNAXpKgbS7regTRHAWj8abMsWI/ppXukLAAgFKqqZeTKEPJ+0o6llGg0qyBU/8ZcE+fl1b/WlZndoGldumaRp3cfCb1tW8PFn56D3Ng90WszT03ErxJQFryi9m0gfe0UiEAqKZT7xbIpT9PeVgAVKFXAOMp91Te7TGW3OOlaFa3DCnwgpnuXrH+tUclu6aPn/jY61/nhupeKy5s//CpZ8c9OvvH0J2TNs3poataYaWtOd/Mmfpi/4dGDZjw5dm2T675YFgLDAAAU914R/cbbF/Nemj0+Cfm7WT6T9z4Rl9DnSCTZo54e9XKfmf/PeKlLwpI/gIBJBm3jxjdG9vx4dyRTz834KkJT83/31F3g0ZkQTBV0wkAwPTZyZj3YoGVBn5/xRvhdUkyh6x485YdU6d/nh+sc2nXpOrwgF9lMqjqOp8riSfYUKUxSeo8vPwP4yN9mnUY3M21dcdpUpmhiccbJXBNmzsfe7Z1cP+24/aqNnA5ha+nNFRhLDLQ5Nv/MzyVNY34/vfD3tN7jq2c+lBWvS4ZS4E8ULa8XI+8z6O330jE5TmIsGBrlO7AHb08CLEhN5HbRWT17m9CiTZ9eiXjUeSKu3kbbHlG2iOAWpQ+c+3wsSgcq5IrViR5ab/uOZu88sQMwsiHlxvvpIPbjRXLkrykXz+xQpPCAgCiIWV6ieOTFFshqewE7uXJTmtAN9yHowAIIxtabrqbCm5PLv8w2X6CVY6s0LdkIshAacUTFUldwf+N0fyF3luK1A3vsAoBWK/M852h4v3UsqVGVxmpftqiMlSJl7QOSHwq6+cm85d6H+PTPWeT190/zOK32lJH+UNbUiwHq+4bOAsEQHR+dQ8/nNJaV5gqlprMq/TuurfyHOYNDyt70Kxvh3rWmcoXpZSvSHIdltHVwRvnupwKy1tppe8ku20cP0DQwM8G8zKDqyKkea5Cm1mnB4ary62wvJVWuiCt9F2j11PjpwVKkqHl7aq3ccpIRUuWPqkIhXjDRlBdwO0vHhk8ufigsJAD8HZ+iQwAAM0ISAAPlkWay3F3IuD1MrdCFu9mSX3WKfMqHGuTKz5Ntm5V+yNOKYX1yohJYcOGJ9ii6pWJGgB8cDsFYSStg7hDbfnUVPGlLiDxJk02q5Ojv7etaw2BYy/PAMs7OERhqH/oYM4Uqj3lrKxb8Ore8mujXfVByK1pJe8ZXGfrrvzyW4NbRjQFxiADkdAoAOOqbohHGnQC3qLO+YJIF0QWGKp61u6W+UoAbx/EKv+TCMlTIXRCxsQ456y+CWTZsBnxpEwtOE+YGW12BmHAU2XOYisoMwxSBGjuJB9VsvWFeT2+n7U2t9fOHfa2D3XKnfL48pNBAKBK//yzFB0+9ckuhz7LMaOaFjcYZIDLcf5bALz5fWPuU5yY+MKbKy4zAIdOGQc+MqHmD4Lnfv7h271egCOlre7c8+CADsT+vX4AYD3n92w6DwAAx08Vmu4Z9Grvtor/XnRX5bp4YNeP+7yw7/ClFn33PjSgPbFrd9XuZ0A17SYve/f1rN1jhs7bUHRlZYS/QABn7oZNO35PhK9DIsquz78xI+v4nHEH7SzwutIX74UKoXXhmU+/PSV766TH9jhodd00tcZfjt+9/qfBCPjP/rLq5ZnLfzbTvEk8wYbp0jRYyHrgf0dfnTZynMa7ccKl5IeU2doGLgHgN4xee+K1NgBg/+X1x/9XVHf/UF2nAHdPaYjCmGUo2/S/Fbfv/G7ZJ/sKPOoOz86dsXoVWzBw8dGAwAJ5YJ0HJj330Rfvv3F83+Ob163/aO1Pv5uF7rwAEBpsjdAd+KI3CmKxIY+IiO3yHP1g9Nvm7q6dn18MRZGLb5wXZF5hBV6FIFU3MdRuRZ29fGyFwnecYACCzpBiqleRzvrzEdB7td1o8usU226cBQhcwLAZFZr+pHu9DACAwkKXZEG5BG7GyAvykF6iG0hiOFBKn74n41+Zaj+OAkDwogRtdVnbi3TkEQy3DCTJp23PBDcYbQdwAAiUMYouzsgKASAo8edUnsiUkjZa0d4hT2Hc1up5lJXwnyIYIAI2Sj7Nq0xn/XnVV0uEkd5pNg6m/GtTbUdqPDfgLRAAI4+ofBc5Lrkc5g0PwmI6BrzSwDki6AUACNb9RfzqYlCqHAUMaI4fs+c1zj0EA+DPx7EZ5ao7g67VfP66WiYASFim5rKbh/AUgKGzH98pCdGANvfKFZjnTwkLgAB32JCC6gJuf3HL4MtViZRBKy8VLLABtOr2jsE96/XEOHvqzIDvFCrtHCQ3pTgv1/BO2Fzcnag65Di8zKVQFtQ+6EdOG0qXK+no91zphPRKiJQUPmwiBhtPr+Sqq4kDgIewXo7kFNZOBM4QDBCBfBydYdbeRXq+kkV1oQprjdjHXpZngOX3V0RD/WMHcxoN2RAkicJQYK6hdoUlYiyGtQaPDGF3YRy5WBcRcIKqv1t2URN0A2oIYTggdV7EwO8vKS3r6tRmQnCjlGEBWMx/WKp/0CtTqygnICl+GY55z8W0YAFwdQkgAt7DY+8aNDtUXqZ8IKokVJGZnSEr/mXpd2f0vVohSd1HDe2w+b0/bQz4Tnzy5OLm66asuDAJAABoACgqdPE/9pK16JoJJet/t0S8XoRKz5pBk6qTAPgBAE/r8/TCycP6t03RMG5zQAu4hwgzRIZKz5hBZdRedYhs4LufDQztf+6e2RvKalYaZYF/N6im5/ilW8cqv3x+zEcXas+veFwZd2KrC00b8PLc7F1PvfiXK0wYk6c/G9PqMwBM3bLHsPnvTv72C6rrsBVnQnxJ3MGGaUxKjArajn1zoNnnj5mXvF4UeIJG1VoCBVcDNoJTRVv+3f2v9FadB0ybOmv3B6Hu474ruhLaYZ3C2VMaojBWGag6zSSHgo1f7djjAIBz02d3HbJq4GOtPz56PCiwXXwwtsPLh/Td2O6OB54fM+XXseO/nTX22a8u+CJn5EVYYMetO/BHb8TcsdowEjztCpX9uGzxj7Hmirt5BVoezfYQBN/WcdYpoYHB5CwAghqDEsDd+dXXRb/UfxmUzYIYJrvah64URFfO8ABJDuAoI32muNaZuCCNIFd/XF8GYgjigLsvRj6kV1MhACDagHqIQ9UmhMuBcSMosMFwr2hiXbVyAQDSzmpqB4F16dYjtSqNssCwRDRvbU2o/1u9/wV7yhve4FGld7/aW4CFf5jQ8LqiJyjxl4IqnUQx4spcK7a6GCywn2BHeeUGdcjMynr60Qq193Lt+9F6YXOFWNvF6S9eGbxeZohRJab2lfVLHG+muqpff4XqKRzDfbsVpCIgQRiiu1f2ly7g5cvF04ko3vs2LoWIPihVQPCQPIb5v9BeeYXITgkXNhGp3yujqqs2jRAAPIT3cgxO8cp8xaDIihwAlfBZI6axN+oBtg4RDSUO5tdWu4QR1hpNJ4OUOldqJaOdKa9fXUuibLVPbXD4C7nJnLmk8k8s8Guy9VDltB2hjqnIB22qNrT3DxRvG0A9cl95zDtrIywBULZiJ2jTjFKWdJSWAMgyMw3gPWwlWb4kRNv75ZVP0G/e/cqHlyhYtfr9oUuOvD170rZhs8+QwLgOfjz2xuXajFQN6vO3mPzfHwae3Fsc4a6XZVkANJo3IdIUDQiKIQAA0uzHN38xzvTTB2MXHCrwy24Y/Pq6MeFzMQwDgNRwB3Niyw/osPsWLXzi1Ng1f3mrXBJ9gX8nqO726cu+HcUsfWb0rAOO6jGax19xR1BdqP6Op/pojfDN4cFX/+f7u4rueLbtS0eubpyj3fn7Vo+d0+PeD+8bnLnqTEGN9bL6SZzBplQaFCxJ0d6c6SMe+zB46QKZEqAQhVaGATTkLHjIWXwip/hEzuF95sy8RaMfbvbj4osUAJdTeHoK1hCFMcpgKZIGUKWoMHDQAECaCy1wZzMtfuWxXowFRgHtzP15zcRfNq8cv3LvnNk/7x79xWVhhhcW2PHuDlFGb/i8Qm0YhrhbI0EKrAJhZD38qFnDt3WcRaD2YB4BFmFrRx4CgADm+SLZXfO9wSR29YhdWBlsdeYoaryqEAupn6vQqRWO/+oDVgQx+gyjXTy5apVfovSiHuXDVk2p0VVc3eDoC6wPl3lZQDjuFNjLavPrCllHr7KbRz/RpTulL1+pDkWziBWNK4VSc1oorC76rDoQNKu6Uu69IXU7htymDNXpmPXCRmBdvP7ilBHByyj5valiT+WZVpRyVCuR+/VPutkd6dZdOAtq929e46vWpDsUpd9VHkrnyCUMHoWVkRzjSCuwV0ZMqvkrJGZVYXplQgQADxxejsUpLBvdQAeRrBHL2ItGP8DWJKKh/mmDeU0wRqJnwYnTTL0PxCdsu4QR1hpNK4Mp0FbM1qBaGkUQ1uhMHecLnq/x0J7HXxf15RsIhkRpG8bU7C9Oufs8Yujlx3MIogPFnFZEdeWtTYQbJbrs6JFSvN1DHTUIAADerE/fFvTZn84HeJOw5NYtNf7iXGvl9IwqyzlcBIZWhqvLKyzpLC4scTR75J1HDOf/u+aPCO+/Dlw4dBEy+9yVEdsCDZHdoz3kf/D2mm//PH385LF9uVynCOsTKvxxwZ3D3jnUbsrPy5++pfpLcg0osMnAmw9fuPFp7JMx/5pZazrB46+4I6guxvH91OG3DX6k6t/IRX8BnHh7zF3vnar/fBitfklJ/WLqJ4ULNkytkzFBmgXKduH08RIfwzJBGiE0cdvSwTIsCwhetWrF5RSenhIfhdHJYN0Xcsug+b0dtJVH/5TNb0qHihPlYd6DGl2B0evznd59pAxNb2cUvPYaRbDhKfc+O3n2o+1rfHow3t0hmugNIwPiYMNaxN0af0eB3MiDqrYsdVgRzdMnAGAsshBQRMvqbx3LSXk6MEVXz6sDAHPcVPSqMRCsmYsIAS1LR6gySejKv5oL9uFkMBYiBJS8bYxfWZNQRDqEduncx2VkiTR4XhJ9CLB2hX1Jqv0CqZtk1lw5+t6AAsObl0YpH6ApFOcKPIUFj2psn6aXLFWzNzv0raNbyuNzJQI0IPJwH5RmEZYCRMn7rWkFKc+o7eUYwwYAwEu4jmB4D7fiNhfByl1H6y6B1A8bgXXx+4tLRiQvM6WywDkicI4I5EmvnFBAVCGJHKFKqyZTrEsWtAFmYhDeXNF0opjaxTqkpA9k3QMY57UsTAAI65WRk65QP2yiCbb6JEYA8BDWy1E4pRpZSJ4OzGVpVHsleK0R09gbeYAN66+IhvpHDea1QTI8qlQk8GekA+QJ1S5hhLVG08tgEcaBU35KNdSDWVRXX6rKpbAykx8PXZaELLXn/wDAYP5f5Exzt7KlX5mK+n+XCniKVjWgIHJT8xv0ElWWRgJE2g2t2ks8pQVF1hD4T3215K/hC99949y8jSfVfWdMa1XxzdjvzQwATxJz+fdDxS+PfPe1h/+9Lqdc2uLBSc+0Df71br4fAACVN2vd6sasG7vfPviF4V1k+9+7e+mZSHuA6aLvP147fum81e8oF39zsBxa3ayr/UWA8ASLjubDi8+PH35+w4nSoKTZTToAa9SmYT2n148cwWzYPP379yw9J2y7RDWwwCZB2XnGv7v5t/9ns810cxsTAACErIWXSv0sjyvjjqC6aGdR/tU9MppmbgCs5PzZMj8LgKg6THz+VvuJs4UexNi637gpt0nOfvx9SQh4kziDDZVq5ShlrbGDgKVDNKLQEoK/tYGn9J0yPP3SqUvlAdTYsteLU7tJzizdVhwC4HEKxdlT0CRhCgXJYP1nNn1+bsSsubMm+lfsDbWbNLcvfmTBuguk4AJ5FEoyBi14scXpvUdyy3yovtWQ8UNTvft+q/d6geiJGGyqrpNWTh+ogX7+Px95+0Ioylwxwhe9PDKE2ZCHuFuj6QvkBs32EFLcFf2Lr+1K5x+u5CHmJETrszKyvg6lXOr4RRrhIZZd4TjgNA0oN6m1nlMSGhg8hSEPqMjqVYrwMuwK5x/O5PsrjFKdpwADE1nnJdLhofCgGbS9nSqzKuhEEH0IjWkfUlDq/iIFni3Tj7XQ7xq9NqQhBYZvF4MFjkrhAXvSveC5gEFqjXYhDDHIQbiJQDHOMIykDYkCQvuium3mcyWNkhUIcrNLcysEWRrzyD1nq0c9BiOLUaSrU3sbBEgaC8i9p6sepCBJAaItMPKQ4g6HkqjycuS6OEHIPapQT6fhfqD3p/gjbOSJrl1hieAvDhmCvMw6iYDDoR7mUG1RBV2spJNTk4oEf5ZEyMjdiQS2KyhzbicUD1tSn9O4DstCXkCUtb0cNgCE9cpISTxhwxNsPCRyAPARySnIjS5tXzpgB2kPh0qFu36VNc6Ize3liANsWH9FMtQ/azCvTEolpX7As3ya+zxYgc78V6S73kRqFycSWmJkQEahGCDakCSdZZw45a0+ABXWGvwyeAsUIAPRk9JkSpIdUPbxyDDC/qGWrPHQXtBFCph8jcdWpnncgfiU9lg+0nGFqiUAWccJK34dkVT5H2M/XT8WCmbe88iiAgqowk9fHKee/+rkxR+oKOufW+YOeqP6A87cSb4TSx94CVk0YfK24UqAUPmp32aNWbChnAEAkLWe/uXK0Wrb2eN/rHz5iQ+25tqiWHlhHPsnPjz18sxxz7+5+BUUIGA5c+BYWaQuGcxf9cgU7ZKJz68bopUAUD57wZE94R5tcuLP3/DkC9m/r5771b/O9P84z9/gAhsbaVrn/9OBYfD8XVf3IztWjRg09oifz5VxJ951oXJ9asf7p46ZaJQAeC//vvP9+xauOU1GSOIMNoTQyhAmVPPjGTRJo/IG7AJA5UnZPUdMHNc8CQfWXXxwx6IB76w/QwLwOoWzp2ACFQqTAeT5RWMmyedNnb5s9Xzwnv1p6f0zN1aesRBYII9CjA0ae7+08NlMJQLgLfhz+6QnF2+v/z3O6IkUbIHC/b+aBwy07z1gpqLPFXfCyhBmQz7ibo0mL5ALhJH1CCAVsWwdZ1H/xhSLz6YbZFFKgS5S2j/UuyOel2PRwObUCqtD18dh6MUCIHSxwn6kerLBJYNF/RtSzE67ro81+V4AQOgyIuiKVBclcS03osMd2tFeFANgEMYqC0TMVZOQxL0qWfJyheEZN/m+JhQSWiCneRFqj9Giten6W5MHALA12oWwCErL77VolAAArEPq+zbZXtCQuipBg1uTvEa75gkzhPDADpn36guWkeD2JHeKTT3SrKawwI8y72kMWJTKl1GdXcYXXAAIXaC0LdF5rnhZQNgAAABbrnKedhlvkrh+izTdjbZd4YgUAOFlCAsbUur4xAAPO3UvelAA1iX1f5dsi/iJaWGdiE8hQu1PLvM4tXd5dU+6EADw4YFfpTW8HC4AhPVKniT+sAEIH2z8JHgA8EqP4BSWJu61qpXAWgjXcoOzuOHdPBw8Xo48wIbzF7+h/mmDOYVSVkTxQEUqAGOTBn4zWn5RUBFnMInTLm6QDKdpsqeqf/Y1p/aF0Lb0sl9wFniswSeDr0AhMljpPeaUHgxdLg0eNJTtUpI1974LvUhBSOr+kVA/FqB+VZH1t6RFAXKLoqWQfCIiIiIiIk2G0p88x4zvTCv7SdKYSzXXiIy405TtSrS6pEHDnHLZ3rTSHxqmpynrEqkJj+Wv12BrMrCQZnqptsJUspyIbaU+8YfKxFcojOu1XcJIfGs0QCHS3J42IehekOK2xLB88PmjGZV/xOM76CIiIiIiIo0JeqOHkEicMe6Uu15lxJ2mbFdi1MXi3RxqtSRYjqJtXQoF5j3TUD1NWZdITXgi6noNtsQn8YfKxFcojOu1XcJIfGsIUUiEpCksogqqh3vgoMlrFbiHQlwCEBERERFJbBCG6BFAyrX+WJa6r1sZcacp25UgdSEsqqGJfh61mgWfxLfV6IjpM9R/b10iNeGz/HUabIlP4g+Via9QGNdluySkfkaZWhsmJbg6s/wo9/nY+FpDsAweBClEm7mSx3kxBgseTKrYGumFjjyViwcBRERERERERERERERERBILhMVSQli4D0cxFikl9M1J16qMBiMeBBARERERERERERERERFJVFiELpM2+kf7rhUZ8SNen0FvUlB9lxFvur9cvwAAIABJREFUzRjZngAAQHVdxs94ZXwbWbxKx0z9l6xetrCrPF4FioiIiIg0Eggj62fX9wsl1q5HRVA9xK5OZwEaQSFKK4ZXmIYGE6vJfxcII+tr1/dNsAAQSXDEsLmmqTnANmVd1+tgfr22S4SXa3IJADN2e2TiyO5pOAAAntRlzFND+pritp8BU2X369EhW3FNmkZERETkegdtac1ccllXeU+G0rJeblUruulvNWrJqA2iCqpu9xDaxlGIMHirgMzANlKTedrVuHXpPalLCrOWFGYtKcwcFajfOqyDNWNRsak3VSsJpWW93arWkc0bvl0II3/sctaCCrUpnu1tyrquHyIFQDTwRG/dcYM3bMIHWwNl/FMDIO5DSq0BFgAayV/167peB/NrrV3CaMpLmzCaWGHNeS6qvOXpj0rPbZ6aXWs6jRm6vfLpltK8HO+pnb+98WBbORJFEqrpMGLZll9ceTne3B2/zh/aThFNLpEGg+l7jpr902/7PHk53pM7di98tLP6qo+b0vINqgvV9Jr2lSsvZ+cg7ZVs8o7T8/NyvFf+HZpxmzxiEmccYqnD9ublHPlXcwkAgLLvO7u9fy3op2hAg4ms4S8vOXTwT29ejvf4Dz/PH9ZBWa2dzymIqtX9i9dtt+TlePP2HftyytBm0gYpFCij8geajvc9v3zN5oITR4o/7K5qeIHhQZQtBy9as60sL8ebd7R8z/r1Y2/RNWzBTViwNVZ3CBe93CKE2ZC3yHhbI84FNrzJjPQ2P2pVeCv+3ktHgsiIO03Zrtp1uRSWhWml7yW77WF/zCJJIQxlJCmxfZssfF1XQBg8jQIiJFEKKvXvrysWZCHlw+Xp7xRmLSnM/E+FrpPA+VJjESEAooEnemMK7Gso2BKfJhhSGsdf1zy126X2GWcWVS2xzSozDvDh4Y61X7ugmW7TW4Vp/bmGtZi9HKnAWHIRpPrxsoxFhVlLijIm21RpYSf5tRWitHJMSbMrq6KvVui7hdC4RmjVZF9i6nzftCnjxvcwAhTU/kHWC59+PLPFoTenLTmp6Tdzxpwf8PLOrx5ysHxJmOneL9dO73Xs86dH7rOk3zFz3qwdCmunaXusDG+BIg1Gmj307XHt8la/M/KkXdluyBtTXtlCnms/M8cLTWv5htSFKLq8sHTLKFOdAzeYXKNgz854YtZOJwsAbMhxIRAhiScOJYYWyQCZ9/dptuLSBWmbkX00IE/PUqHgE3YBAaBonDBve/+VWSWh5FuGzpk4c5P3zC1vnvLzOgXRdF+87vXBZz5/bsSuIlWnsXOmr13u+7/7PztFClUoSAYAIIq2E5Z+NDP79Or1qyZ8fLGo5LyvYQVyIu/4xqp5Y1xbXxs397ANz7j51i4Bh1+o1QGEBlsjdQeO6OVCoA15iLs14l1gw5tMkMr2DLVXSVFRZ2kMEkRG3GnKdtWpi0apUhQwoENhf41Qe02Xz9NsqaDPO3O1i8HdH6UH9UioLH73Vk1ZV/QgDPFwuaGD1Lk2xW9nZP3s+tFmdmGqszRhpj0RAiAKeKI3tsC+doIt8WmKIaVx/HWtU6ddOIMbWHKryV7I4tk+zQBLWmt92SfqkODuljAg6qDyLqe2XwAD4GxNLF6OqsDoc6G0clS5/kaZc3WK30spBtqSJjD0fKO/zm1PXYUsaqSRS/qKTTJGQks7ufSPleFUuvkoFrWiCFQuARCtJi8Y1/P4mpHTuyxbmFUzXX7zyCm3+DaOee3NPS4WDuTKOx6b9tx9i/5YV8FwJ4Gpz8gBitNTXv1sSwkDkPuMotuZuaMHvrVvLV8u/kkAqr75oXfnPT+yowHzl+ZajPD/7F13fBRF+3+23N1ev8tdLpdCICjlpYiAPwSkKCiColJEwYIi8qp0sKBIxwKogIKNJiDgK01FRRELHZQSKQktECAJSa73srfl90cSSLndu9tcYsD7fvgDmJ1nvk+ZZ2fmZnagoFKppO/C7Q6NSsQ4c3aunvjm2gPOMml440cX/DitZ5YcBfBeOLB15tSl3xSRAIAZ7nnvg7EPt22SKkeBcebsXPPy9DV77TU44CmD569b2+vs+EGTV+aTPAIBUEPX4TNG3Ht3u6aNtFIcgCr5ZdhDr2+v37UNMm/1Pd1Wh0IMAMCe48HOPdbd0S4Vz86j+FwZdxq1aAtNuW/6ppH+WSPeH/D1O1U2qci0hL/weM65UzXmChxFKE8cinSZ8su7jujv72P8aq2hX3fPvkNI4+Y6HEykQJ2poq/mvF3+9wPnZPfevfj2LCWS62d5ndK0173a4pXzVn6TSwKcfmV+7yFLurZVLsu1sgIZCqIBiKLb64teQz7t2nfz+WA8BHJDZOzQ0+D/4bUFS/d7AQCOHNoSg5XDQFiw1U134IxeLgizIQ8i6oWnPrB689x+9vUPD1u0381GrBV389ZaZTTTI5Xi7uwql+girSxpHzAoBkyxzLUpyXWxwvoiStbXpukWwCUIfVnm+kbrvoQCAJLuTB7pIpJY1kr48lmifRB1SZ2rdK4CFAAAo4ledk1Pn1gBrEPi/SnJ/peIZSPRIEjFIJv6DhJDEaoYwwAqq8TFEEny6Mc4pDoGABgL4f0+yVF2PzBKSwdZNW1JkZoBAKZY5tqS5MqrGVUs1t5mfMZPbjRaDuAsj0AAUAZUD7hlzYMiLYOgAAzmW5lqyakis7peIlIztUSem3J1k4QFQAwu41Qn9Xm6+TQKACALKgfbVe1IDAegUeqiyrxMVT6gFNAWD7Qe40xb2Q4p5pihaC1RrQrS1JEyJyRSsayFcH+jc+Zg1R4I05baY5xdLhMA6D3Gq1vFLADazpQ+IuT5IM1eUDZPY6TPFSVnKEve1YQMvGETe1vA7S8eGmSI18tcEIVkLRlqv8Z1XMwCkFtZaQcLkcY4iyMNKDk6EQCfl/kYIize2qW5zyttTCEArFfk22ywZkeiIaxX8haFDxueYIuuVzbQAOAHl1NQWjrIom1P4nIWAKEuyl3faDwFMezcqmYN4bmXK8HyJodoDPVvSeZlJioRB/PQYJ7Un4caJzi07WSmI9iNpVdN+aJeNnVTsXuVTvKkletUeE1rcNOISmAMNJQBRSuW3Jzk/BsHkJAWlphpU7Wm/X9VSXph/cX6cLJAzACQl0Voi6uaLkE0W8aovCmzrNjPqcU7RCwAoJRi8tUkSlf0oZyOJQuUmTWQ+2bfPt1fXft7SbXZBWbs0DGVOrXljHHqdwevfNaHObD7Etaizy0EbxEq08qA8ZR6ysaIjCXnRDGa2SldzFuLD5jhvpUbpj4u2jVl7Pgn5nyTE6r+rri4fckzz495fObPoV4TNs/qoilfYaWt2d/OmvxS78HD+4774mzLp7/8aFATDAAAU9xyT+emtq9mDB4x9qm5O5ne4ze91UNXLcjEGUMXrFnd8+wrQ19dlU/yCwQQpd89dEQ3bMeS2cOeHdX3mXHPvP31MXetMrIgMOVjawDAtFnJmPdSvpUGwZYXBOFtiTIGrHzn9h2TpyzLC1Z7tauMGjzgVxh0iurO5yriiUNUrk8SO4+s+Ev/WPdGbft3cm3bcZqUp6vi8UUJXNWi1xPPNw/u//6EvVwHLqcAackrZFP79WmmQABQVbtuTZDLh3M9bBwYxkIDTb77zSFG1jD0xz+PeE/vOb568uBMcW0E8oCync/xSLs/fvctRFx+BxEWbHXSHbijlwdCbMiNyHoRmd16G1CiRfe7kvEoatWFeWunMiPuEkAtcp+5avhYZI41yaaVSV7arxllk5admEEY6ZBSfS86uF1vWp7kJf3a8SZVCgsAiIqUaEWOT1NsV0h5O3CvSHZaA5ohPhwFQBjJwFLDfVRwe3LpkmT7SVY+zKS9lYlAA6VlT5mSOoL/W715ldZbjFQP77AMAVivxPODzvShsWSp3lVCKp+1KHTl5EXNAyKfwrrMYP5C62N8mlE2afX9wyx+h8043B/ammI5WD5u4BQIgGj8yi5+yFVbVxpMSw3mNVp39aE8h3nDg5U8Yta2Rj3rDaULU0pXJrmOSOgKT8a5LafM8m5q8XvJbhvHAwga+FVnXq5zmUKqUSZ1RrUeGK4tt8zybmrxvNTi9/VeT6VH8+UkQ0tbV2zjlJCyW1n6lCwU4g0bQW0Bt794aPDU4gOFhRyAt/aLJAAAaHpABHiwJNJcjrsTAa+XuRmyeCeL8XmnxCtzrEs2fZZs3ab0R5xSCuuVEYvChg1PsEXVKxtqAPCB2ykII2oexB1Ky2cG0xeagMibNNGsTI5+bFvdGgJzL0+C5U0OURjqX5rMmStKTykr6RS8vrf8xtCrJhByW2rRBzrX2eorv/zW4KYRjcAYaCAiGgVgXBWKeMRBJ+BNqp0viPRCZIGhKmbtbomvCPA2Qazsn0RIaoTQSQkT45yzYhDIsmEr4kkZanCeNDPqrHRChxslzkIryNN1YgRo7iJf8eHDxeiQyU93OPR5thlVNWmqkwAuxRFegT5u6njjB0c+KDs5/sV3Vl5lAA7l6vs9Nq7yA8Fzv/703V4vwNHiZr32PNK3LbF/rx8AWM+FPZsvAADAidwrhj4PvNGtpex/l9zltS4d2PXzPi/sO3K5SY+9g/u2IXbtLt/9DKiq9cTl78/J3D1y4NyNBddWRvgFAjhzNm7e8WdDuB0SkXd84a1pmSdmjTloZ0Go5YVBaFt4xrMLJmVtm/DEHgetrF6mVPlL8fs2/NIfAf/Z39a8Nn3Fr2aat4jijkNMk6rCQtYDXx974+VhY1TeTeMuJw+WZ6lruQSANx2x7uTUFgBg/23Ok18XVN8/VN0pQBVte3Fulx9nrMu5a+cOe8vB7XImPbniVBBqxzBmGvIWve/A7Tt/WP7pvnyPsu3zs6etXcPm91t0LCBQIA9Y54EJoz5e9eFbJ/Y9uWX9ho/X/fKnWejOCwDBKSX+3YEveqNALDbkIRFRL8+xj0YsMHd27Vx2KRRFLb48X1vzClKZIBX/Yajdsmp7+ViTzHeCYACCzpBssleWxvrzENB61Z1o8psU226cBQhcxLBpJlVv0r1BAgBAYaHLkqBUBK0w8qI0pBVp+pEYDpTcp+3K+Fcb7SdQAAheEqHNrqrvIh3nCYabBpLkU7dhghv1tgM4AARKGFkHZ2SGABAU+bPLTmSKSRsta+OQpjBua8U8ykr4cwkGiICNkr7slaex/vMV4wOEEfcy6/tT/nVG29FKvxvwCgTAyKMK3yWOQQaHecMDYTENA15x4BwR9AIABKs/Eb+2GJQqRQEDmuNh9oLKuYdgAPx5ODatVNEr6FrL56/rMgFAxDKV16A8hCcfdO39+E5RiAa0sVcqwzyHRSwAAtxhQwpqC7j9xU2Dr1YZxAxa9qpggQ2g5cM7Bvds0BJj7MbpAV8uKm4fJDenOK9W8k7YWtydqCLkOLzMxVASVD/iR07rilfI6ej3XGmE9EqIVBQ+bCIGG0+v5GqrngOAB2G9HMkprJ0InCEYIAJ5ODrNrL6X9HwliSprh7VG7LmX5Umw/P6KaKh/bTKn0ZANQZIoDAXmBtIrLCLGYlhr8NAQNgrjqMW6iIATFL3dkkuqoBtQXQjDAan2IQZ+f4lpSUenOgOCm8QMC8Bi/iNi7SNeiVJBOQFJ8UtwzHsupgULgOtLABHgPTL63gdmhkpL5A9HU+Q7+enTixqvn7Ty4gQAAKABoOCKiy57g0YQGAaSJh0zoGjDn5aI74tQ8VkzqIwaEYAfAPDU7s/Onziod8sUFeM2B9SAe4gwKTJUfMYMCr36ukMk/d7/vF9o/6g+MzeWVG40SoH/NFBV17FLt42Wf/HCyI8vVp1fxWb52iG2ttDUvq/Nztr1zEt/u8KEMXn685HNPgfAlLd2GfT2+xO/W0V1HLTyTIiviDsOMZVBjlFB2/FvDzRa9oR58ZyCwFM0qlQTKLhqsRGcKtj6Sue/05q17/vy5Bm7Pwp1HvNDwbW3fVinoLKMrHRJ4W9LfzijvasZktR5+MC2Wz44bGNqwzBWGqgy1SCF/E1f7djjAIBzU2Z2HLCm3xPNPzl2IihQLz4wtiMrBvTY1Pqeh18YOen30WO/mzH6+a8u+iJX5IWwwI5bd+CP3oi1Y7VhJPDoFSr5efmin2OtFXfzClQZzfIQBN/WcdYpooHBpCwAguqDIsDdeRXvRb/YfxXkjYIYJrneh64Jqng/IckBHGXEzxVWORMXpBHk+sM1aSC6IA64+1LkQ3qVGQIAog4oBzgULUK4FBg3ggIbDPeJJtZVpRYAIK2thtYQWJ9mPVql0SgFhkVE81blhPq/0/pftKe85Q0ek3v3K735WPgfE2rfVvQIivzFoEgjUYy4NteKrS0GC+wn2OFeqU4ZMrOSrn7UpPRerToerRE21xCrXpz+4qXB62WGGF5kaFPWvsjxjtFV8fkrVEvhGO7bLSNlARHCEJ29kr81AS9fLZ5ORPHu3eFiiGiDYhkED0ljmP8L7ZXXENkp4cImImr2yqjaqoo6CAAehPdyDE7xSnyFIMuMHABl4LNGTLk36gRbDRENlUjmN5ZewhDWGvVHgxQ7V6tFI5wpc66vJVG2qqc2OPyF/Mecsbjsr1jg92TrobJpO0IdV5CP2BQtaO9fKN4ygHqkvtKYd9ZGWAKgbIVOUKfqxSzpKC4CkGRk6MB7xEqyfEUAjOvgJ6NvWaFON6pQn7/JxP/91O/U3kISAOOrxQ2WZQHQaL6ESFM0ICiGAACIs57csmqM4ZePRs87lO+XNO0/Z/3I8LUYhgFAKrmDObn1J3TQgwvnP5U7+su/veXsohf4TwLV3D1l+XfDmaXPjZhxwFGRo3n9FWcIagvV3vNMd7Uevj3S//p/frir4J7nW7569PrGOdqdt2/t6Fld7l/yYP+MNWfyK62X1SzijEO5XCdjSYr2Zk8Z+sSS4OWLZEqAQmRqCQZQm7PgIWfhyezCk9lH9pkzzi8c8WijnxddogC4nIKou722+in6nfteX3KZgjVrPxy4+OiCmRO+HzTzDFYbhjHSYCmSBlCkKDBw0ABAmq9YoFcjNX7tZ70YBUYB2pnz65fjf9uyeuzqvbNm/rp7xKqrwgwvLLDj3R2ijN7wdYXaMAzibo26Ma9QlRFG0sWPmlV8W8dZBKom8whgEbZq5CEACGCeVcnuyt8NJrHrR+zC0mArKkfR4nWGWEg5yqRRyhz/0wasCKL36Ua4eGpVkV8k96Ie+aNWVbHeVVihcPQCa4LLvCwgHCMF9qrSPEcmuc0r7+TRjndpcrWlq5WhaFZ0onGlUFSeFgpriz6rDATNio6Ue29I2Zohv5eHqkVpjbAR2BavvzhpRPAySv5oMO0pO9OKUo4KJlK/9mk3uyPNugtnQen+w6t/w5p0j6z4h7JD6Ry1hIGHYVkkx5hpBfbKiEWVn0JiZhWmVzaIAOABh5djcQrLRpfoIJI1Ysm9aPQJtjIiGurflswrA2NEWhacOM3UuCC+weolDGGtUb80mHy1aaYKVdMogrB6p3GML3ih0o/2PP66pC3dSDAkStswpnJ/cUrdFxDdXX48myDaUsxpWVRv3qqIMFCiS44dLcZbD75NhQAA4I2692hCn/3lQoC3qBws6Sy8UuRo9Nh7j+ku/O/Lv7z8AnkQuHjoEmR0vzc9tgUaIqtLG8j7aMGX3x0+feLU8X05XKcIayJ05ed5vQa9d6j1pF9XPHt7xU1ytRBYb8AbD5m/6Vns05H/nV5lbC3M8sIgqC3G8ePkIXf2f6z8z7CFfwOcXDDy3g9ya/4+jFZ8pKSmmJpF4eIQU2okTJBmgbJdPH2iyMewTJBGCFXctnSwDMsCgpevWnE5BUtufqvKX5hjLVvIoEqyjxSArplOFC+G0dFg3RdzSqDx/W3VZUf/5I3/kwamk6VhvoMancDo+flO7z5agqa11gtee40i2PCU+5+fOPPxNpWuHox3d4gmesPQgDjYsAribo26MK9wlaVBRUuWOiKL5tcnAGAskhBQxK0Vdx1LSWkaMAXXz6sDAHPCUPCGPhCsXIsIAS1JQ6gSUejan8oL9uFoMBYiBJS0ZYy3rIkoIg1CuzTuExKySBy8IIreHqxdZl9stF8kNRPMqmtH32shMLx5aZTyAZpCca7AU1jwmMr2WVrRUiXbyqFtHt1SHp8rEaABkYa7UJpFWAoQOe9d0zJSml7VyzGGDQCAl3AdxfAubtmdLoKVuo5VXwKpGTYC2+L3FxeNSF5miiWBc0TgHBE4L752QgFRhERShCoun0yxLknQBpiBQXhrRdOJYtKLdYhJH0g6BzDOd1mYABDWKyMXXUPNsIkm2GqiYQQAD8J6OQqnVEASkqYBc1Uc1V4JXmvElHsjJ9iw/opoqH9VMq8KJN2jMCKBw5EOkDcovYQhrDXqnwaLMA6c8lOKgR7Morj+UVUuhmWV/HjoqihkqTr/BwAG8/8mZRq75bf65UbU/6dYwK9o5QkFkRoaN9WKFJkqERCpTZu1EXmK8wusIfDnfrX47yHz33/r3NxNp5Q9pr3czPTt6B/NDABfEaDSRs2b3ZJ5S+e7+784pINk/wf3LT1TNhTmq8UJuuDHT9aNXTp37XvyRd8eLIVmrTRVbwQIj2DBsTx46YWxQy5sPFkcFDX6jwbAGrVpWM/pDcOGMhu3TPnxA0vXcd9fpmopsF4gbz/tlU7+7W9usRlatTAAAEDIeuVysZ8VZHmBEOZlZ0He9T0yqkZuAKzowtkSPwuAKNqOf+EO+8mzVzyIvnnPMZPuFJ395MeiEPAWccYhKlZLUcpaaQcBS4doRKYmBN+1gaf0mDQk7XLu5dIAqr/1rpcmdxKdWfp9YQiAxynU1T8PFb427P2pj76yPrtU3OSRCc+1DP79fp4f0CRhDAXRYP1nNi87N3TG7Bnj/Sv3hlpPmN0DPzpv/UVSsEAehqL0B+a91OT03qM5JT5U22zA2IFG774/anxeIHpEDDZFxwmrp/RTQU//4ccWXAxFWStG8EUvDw1hNuRB3K0Rf/MKVxnN8hBi3BX9h6/tcudfruQB5iRE7bMykh4OuVTs+E0c4Ucsu8xxwGnoW2pQqj25IhoYPIUhDyjIimWP8DTsMudfzuSHTHqxxpOPgYGs9hHp8KDwoBnU3ZwKsyLoRBBtCI1pH1JQ7F6VAs+XaEdb6Pf1XhtSG4Hh9WKwwDExPGxPuh88FzEwVtILYYgHHISbCBTiDMOIWpAoILQvqmEznytplDQhSCuX6g4IsjTmkXrOVmQ9BiMLUaSjU30nBEgaC0i9p8t/SEGSAkRLYKQh2T0OOVHu5chtcQIh9yhCXZ26h4Den+KPsJEnOr3CIoK/OGgI8jLrJAIOh3KQQ7FVEXSxonZOlREJ/iqKUJG7EwnUKyhxbidkj1qMo1SuI5KQFxB5VS+HDQBhvTJSEU/Y8AQbDxpyAPAhklOQW1zqHnTADuIuDoUCd/0uiaa52DM2t5cjJtiw/opkqH9XMi8rMpJiP+CZPtWDHixfY/470qi3IenFCREt0jMgoVAMEHVIlMYyTpzyVhyACmsNfhq8AgXQQLSkOJkSZQXk3T0SjLAvUZOVfrQX9JICJk/lsZWonnQgPrk9lks6rqF8CUBy27iVvw9NKvvH6M82jIb86X0eW5hPAXXls5fGKN9+Y+KijxSU9fDW2Q+8VXEjNE+RpPmUL1aPUNrOnvhr9WtPfbQtx3ZtZYOnFo+ijv3jH518dfqYF95Z9DoKELCcOXC8JFKXDOateWySevH4F9YPUIsAKJ89/+iecD9tcsKft/HpF7P+XDv7q/+e6f3JeX+tBdY1xKnt/08Duv5v77q+H9mxZugDo4/6hVleIOLdFirVGm97aPLI8XoRgPfqnzs/fHD+l6fJCEWccYgQagnChCpfnkGTNCqtxS4AVJqU1XXo+DGNk3Bg3YUHdyzs+96GMyQAr1N8J5c+/CqycNzE74fIAUKluX/MGDlvYykDmECGwmgAeWHhyAnSuZOnLF/7NnjP/rL0oembys5YCBTIwxBjg/pur85/PkOOAHjzD2+f8PSi7TXv44wekYItcGX/7+a+/ex7D5ip6GvFHWFpCLMhH+JujXgLFKwywki6BBBTLFvHWdS/KcXis2kesMjFQBfI7Uu07ojn5Vg0sMVosjo03R26u1gAhC6U2Y9WTDa4aLCof2OK2WnXdLcm3w8ACF1CBF2R2qJErhV6dIhDPcKLYgAMwlglgYi1KiMkcq9JFr1m0j3nJj9UhUJCBXKaF6H26C1qm6a3NbkvAFtJL4RFUFp6v0UlBwBgHWLfd8n2/Nq0VQY0uC3Jq7ernjJDCA/skHivf2AZCW5PcqfYlMPMSgoL/CzxnsaARak8CdXepX/RBYDQ+XLbYo3nmpcFhA0AALClCudpl/4/Itcfkaa70eoVDpECIDwNYWFDih2f6uBRp+YlDwrAusT+H5JtEa+YFtaJ+Bgi1P7kEo9Tfa9X87QLAQAfHvhdXMnL4QJAWK/kKeIPG4DwwcaPBh4AvNQjOIWlifutSjmwFsK1QucsrH03DwceL0dOsOH8xW+of1syp1DKisgeNhkBGJs48Ife8puMijiDaTh6cQNJdxomesr7Zw+zsQeEvk8r+Q1ngccafDT4BAqhwYr7mFO6MHSpOHhQV7JLTla+wVzoSwpCYvfPhPKJAPW7gqy5JS0KILfLbhVSL4EEEkgggQTqDXJ/8iwzvjO15BdRXS7V3CA04o761KuhtSUO6maVSvamFv9UOz712VYClcFj+Zs12OoNWEg1pVhtMhStIGJbqW/4qbLhMxSGm1UvYWj41qgFQ6SxPXVc0D0vxW2JYflg2ePpZX+Jxz3oCSSQQAIJJFCXQG/xECKRM8adcjcrjbijPvVqGG2xeCeHUikKlqJoS5dMhnnP1JZPfbaVQGXwRNTNGmwNHw0/VTZ8hsJws+olDA3fGkIYEiEwM/TRAAAgAElEQVRxCosogsohHjho8FoF7qFILAEkkEACCSTQsIEwRJcAUqr2x7LUfdPSiDvqU68G0hbCoiqa6OlRKlnwiXzb9I6YrqH+Z9tKoDL4LH+TBlvDR8NPlQ2foTDclHqJSO20EqU6TElwbUbpMe7zsfG1hmAaPBDEEG3kSh7jxRgseDDJtC3SBx15Gk8cBEgggQQSSCCBBBJIIIEEEkigYQFhsZQQFu7iKMYipoR+OelGpVFrJA4CJJBAAgkkkEACCSSQQAIJJNBQwSJ0ibjOL+27UWjED/G6Br1egWo7DH132rA2BAAAqukwdtrrY1tI4iUdM/RevHb5/I7SeAlMIIEEEkigjoAwkp52bc9Qw9r1KAsqB9iVaSxAHTBEadkQk2FgsGGp/E8BYSQ97NoeDSwAEmjgSITNDY3KCbY+27pZk/nNqlcCvLghlwAwfafHxg/rnIoDAOBJHUY+M6CHIW77GTBFVs8ubbNkN6RpEkgggQRudqC3WjMWX9WUjclQWnKXW9GMrv+hRhUaVYEogoq7PYS6bhgiDN4sINGxdaQyj15125bWY1x8JXPxlczFVzKGB2pqh7W1pi8sNHSjqhShtKSbW9E8snnD64Uw0ieuZs4zKQ3x1Lc+27p5ECkAogFP9FbPG7xhEz7Yaknj3xoAcU8pVRIsANSRv2q2dbMm8xtNL2Goz1ebMNQzw8rzXFR++7MfF5/bMjmrynQa03V6/bOtxeezvbk7/3jrkZZSJIoiVNV26PKtv7nOZ3tzdvz+9sDWsooiTNt1+Mxf/tjnOZ/tPbVj9/zH2ysTk+34gde8PK6MP5HatIWq7nr5K9f57J0PqK9Vk942Je98tvfan0PT7pRGLOKMQ8w4aO/57KP/bSwCAJD3eG+39+95PWW1UJjIHPLa4kMHD3vPZ3tP/PTr24PayqOJeUTR7KFF67dbzmd7z+87/sWkgY3EtWIokEbZA6rbHnxhxZdb8k8eLVzSWVF7geGByG/tv/DL70vOZ3vPHyvds2HD6Ns1tcsBwoKtrrpDuOjlJhH/fBh3azQQgdfBiO/0o1aZ1/TPji4aCI24oz71qtqWS2aZn1r8QbLbHvZhFkkKYSgjSontbrLwbV0DwuCpFBAhkVyQ1H++rVggCckfLU1770rm4isZb5o07QTOl+oKEQIgGvBEb0yBfQMFW8NHPaSUuvHXDY+qeil9+ukF5UtsM0r0fX14uGPtNy7QDLfh3SupvbnSWsxejiQwlloEqXyyJH3hlczFBekTbYrUsJP8qgxRWj6yqNG1VdE3TNpOITSuEVo+2RcZ2j/48qQxY7voAfKrPpD54mefTG9y6J2XF59S9Zw+bdZPeGn7Nw45WL4izHD/F+um3HV82bPD9lnS7pk+d8YOmbXdy3usDIizBi4Y0/r82veGnbLLWw94a9LrW8lzbaZne+Op1b8XfOblcWXcUZu2EFmHF5duHW6oduAGk6pk7NlpT83Y6WQBgA05LgYiFPHEoUjXJBkg46HujVZevihuMay7CqRpmQoUfMJeIAAUjRPm7z98fUZRKPn2gbPGT9/sPXP7O7l+Xqcgqs6L1s/pf2bZqKG7ChTtRs+asm6F7/8e+jyXFMpQEA0AQGQtxy39eHrW6bUb1oz75FJB0QVf7QRyQnrbW2vmjnRtmzpm9hEbnt7qjg4Bh1+o1QGEBlsddQeO6OVC/PNh3K3RQARWAkHK2zDUXjlFRVujTtBAaMQd9alXtbZolCpGAQM6FPZphNpruHqBZosFXe/MpReDuz9OC2qRUEn8xlb12Vb0QBji0VJdW7FzXYrfzkh62rUjzOx8o7O4wUx7IgRAFOCJ3tgC+8YJtoaP+kgpdeOvGx3V9MIZXMeS2wz2Kyye5VP1taQ215Z8qgwJ7m4NBogyKL/Xqe4ZwAA4tYnFy1EJjL4WSsuHl2pvkTjXpvi9lKyfLWkcQ7+t91cb6VVnyKJ6GrmsNW2WMCJa3M6lfaIEp9LMx7CoGUVA2RIA0WzivDFdT3w5bEqH5fMzK5dLWw2bdLtv08ip7+xxsXAgR3rb8ZdHPbjwr/UmhrsIDN2H9ZWdnvTG51uLGICc52Sdzswe0e/dfetMDJm3+p5uq0MhBgBgz/Fg5x7r7miXimfnRfAJqmw1+P25Lwy7TYf5i3MseoCCSqWSvgu3OzQqEePM2bl64ptrDzjLphR440cX/DitZ5YcBfBeOLB15tSl3xSRAIAZ7nnvg7EPt22SKkeBcebsXPPy9DV77TUmInjK4Pnr1vY6O37Q5JX5JI9AANTQdfiMEffe3a5pI60UB6BKfhn20Ovb62SGzQke8/K4Mu40atEWmnLf9E0j/bNGvD/g63eqbFKRaQl/4fGcc6dqTI84ilCeOBTpMuWXdx3R39/H+NVaQ7/unn2HkMbNdTiYSIE6U0VfzXm7/O8HzsnuvXvx7VlKJNfP8jqlaa97tcUr5638JpcEOP3K/N5DlnRtq1yWa2UFMhREAxBFt9cXvYZ82rXv5vPBeAjkhsjYoafB/8NrC5bu9wIAHDm0JQYrh4GwYKub7sAZvVwQmg85EVEvPPWB1Zvn9rOvf3jYov1uNmKtuJu31pZHMz1SKe7OrnKJLtLKkvYBg2LAFMtcm5JcFyusL6JkfW2abgFcgtCXZa5vtO5LKAAg6c7kkS4iiWWthC+fJdoHUZfUuUrnKkABADCa6GXX9PSJFcA6JN6fkux/iVg2Eg2CVAyyqe8gMRShijEMoLIXuRgiSR79GIdUxwAAYyG83yc5yu4HRmnpIKumLSlSMwDAFMtcW5JceTWjisXa24zP+MmNRssBnOURCADKgOoBt6x5UKRlEBSAwXwrUy05VWRW10tEaqaWyHNTrm6SsACIwWWc6qQ+TzefRgEAZEHlYLuqHYnhADRKXVSZl6nKB5QC2uKB1mOcaSvbIcUcMxStJapVQZo6UuaERCqWtRDub3TOHKzaA2HaUnuMs8tlAgC9x3h1q5gFQNuZ0keEPB+k2QvK5mmM9Lmi5AxlybuakIE3bGJvC7j9xUODDPF6mQuikKwlQ+3XuI6LWQByKyvtYCHSGGdxpAElRycC4PMyH0OExVu7NPd5pY0pBID1inybDdbsSDSE9UreovBhwxNs0fXKBhoA/OByCkpLB1m07UlczgIg1EW56xuNpyCGzWrVrCE893IlWN7kEI2h/i3JvMxEJeJgHhrMk/rzUOMEh7adzHQEu7H0qilf1Mumbip2r9JJnrRynQqvaQ1uGlEJjIGGMqBoxZKbk5x/4wAS0sISM22q1rT/rypJL6y/WB9OFogZAPKyCG1xVdMliGbLGJU3ZZYV+zm1eIeIBQCUUky+mkTpij6U07FkgTKzBnLf7Nun+6trfy+pNrvAjB06plKntpwxTv3u4JXP+jAHdl/CWvS5heAtQmVaGTCeUk/ZkI6x5JwoRjM7pZd30fLxLgBg2qxkzHsp3xrpJzPMcN/KDVMfF+2aMnb8E3O+yQlVf1dc3L7kmefHPD7z51CvCZtnddGUr7DS1uxvZ01+qffg4X3HfXG25dNffjSoCQYAgCluuadzU9tXMwaPGPvU3J1M7/Gb3uqhqxZk4oyhC9as7nn2laGvrson+QUCiNLvHjqiG7Zjyexhz47q+8y4Z97++pi7VhlZELjMy+OvuEN4W6KMASvfuX3H5CnL8oLVXu0qowYP+BUGnaK687mKeOIQleuTxM4jK/7SP9a9Udv+nVzbdpwm5emqeHxRAle16PXE882D+78/YS/XgTPmSUteIZvar08zBQKAqtp1a4JcPpzrYePAMBYaaPLdbw4xsoahP/55xHt6z/HVkwdnimsjkAeU7XyOR9r98btvIeLyO4iwYKuT7sAdvTwQYkNuRNaLyOzW24ASLbrflYxHUSvu5q215RlxlwBqkfvMVcPHInOsSTatTPLSfs0om7TsxAzCSIeU6nvRwe160/IkL+nXjjepUlgAQFSkRCtyfJpiu0LK24F7RbLTGtAM8eEoAMJIBpYa7qOC25NLlyTbT7LyYSbtrUwEGigte8qU1BH83+rNq7TeYqR6eIdlCMB6JZ4fdKYPjSVL9a4SUvmsRaErJy9qHhD5FNZlBvMXWh/j04yySavvH2bxO2zG4f7Q1hTLwfJxA6dAAETjV3bxQ67autJgWmowr9G6qw/lOcwbHqzkEbO2NepZbyhdmFK6Msl1REJXBG+c23LKLO+mFr+X7LZxPICggV915uU6lymkGmVSZ1TrgeHacsss76YWz0stfl/v9VR6NF9OMrS0dcU2Tgkpu5WlT8lCId6wEdQWcPuLhwZPLT5QWMgBeGu/SAIAgKYHRIAHSyLN5bg7EfB6mZshi3eyGJ93Srwyx7pk02fJ1m1Kf8QppbBeGbEobNjwBFtUvbKhBgAfuJ2CMKLmQdyhtHxmMH2hCYi8SRPNyuTox7bVrSEw9/IkWN7kEIWh/qXJnLmi9JSykk7B63vLbwy9agIht6UWfaBzna2+8stvDW4a0QiMgQYiolEAxlWhiEccdALepNr5gkgvRBYYqmLW7pb4igBvE8TK/kmEpEYInZQwMc45KwaBLBu2Ip6UoQbnSTOjzkondLhR4iy0gjxdJ0aA5i7yFR8+XIwOmfx0h0OfZ5tRVZOmOgngUrxa6pV3fOGtaZknZo05aI/AGm/84MgHZSfHv/jOyqsMwKFcfb/HxlV+IHju15++2+sFOFrcrNeeR/q2Jfbv9QMA67mwZ/MFAAA4kXvF0OeBN7q1lP3vkru81qUDu37e54V9Ry436bF3cN82xK7d5bufAVW1nrj8/TmZu0cOnLux4NrKCL9AAGfOxs07/mwIt0NWNy+PK33xXqgQ2hae8eyCSVnbJjyxx0Erq5cpVf5S/L4Nv/RHwH/2tzWvTV/xq5nmLaK44xDTpKqwkPXA18feeHnYGJV307jLyYPlWepaLgHgTUesOzm1BQDYf5vz5NcF1fcP1Yh5qmjbi3O7/DhjXc5dO3fYWw5ulzPpyRWnglA7hjHTkLfofQdu3/nD8k/35XuUbZ+fPW3tGja/36JjAYECecA6D0wY9fGqD986se/JLes3fLzulz/NQndeAAgNtjroDnzRGwVisSEPiYh6eY59NGKBubNr57JLoShq8eV5QeYVJvA6CFLxH4baLau2l481yXwnCAYg6AzJJntlaaw/DwGtV92JJr9Jse3GWYDARQybZlL1Jt0bJAAAFBa6LAlKRdAKIy9KQ1qRph+J4UDJfdqujH+10X4CBYDgJRHa7Kr6LtJxnmC4aSBJPnUbJrhRbzuAA0CghJF1cEZmCABBkT+77ESmmLTRsjYOaQrjtlbMo6yEP5dggAjYKOnLXnka6z9f8SJFGHEvs74/5V9ntB2t9LsBr0AAjDyq8F3iGGRwmDc8EBbTMOAVB84RQS8AQLD6E/Fri0GpUhQwoDkeZi+onHsIBsCfh2PTShW9gq61fP66LhMARCxTednNQ3jyQdfej+8UhWhAG3ulMsxzWMQCIMAdNqSgtoDbX9w0+GqVQcygZa8KFtgAWj68Y3DPBi0xxm6cHvDlouL2QXJzivNqJe+ErcXdiSpCjsPLXAwlQfUjfuS0rniFnI5+z5VGSK+ESEXhwyZisPH0Sq626jkAeBDWy5GcwtqJwBmCASKQh6PTzOp7Sc9XkqheVGGtEXvuZXkSLL+/IhrqX5vMaTRkQ5AkCkOBuYH0CouIsRjWGjw0hI3COGqxLiLgBEVvt+SSKugGVBfCcECqfYiB319iWtLRqc6A4CYxwwKwmP+IWPuIV6JUUE5AUvwSHPOei2nBAuD6EkAEeI+MvveBmaHSEvnD0RT5Tn769KLG6yetvDgBAABoACi44qqU91BV17FLt42Wf/HCyI8vRpwASJp0zICiDX9aIr4vQsVnzaAyakQAfgDAU7s/O3/ioN4tU1SM2xxQA+4hwqTIUPEZMyj06usOkfR7//N+of2j+szcWFK50SgF/tPgMS+PK+OO2NpCU/u+Njtr1zMv/e0KE8bk6c9HNvscAFPe2mXQ2+9P/G4V1XHQyjMhviLuOMRUBjlGBW3Hvz3QaNkT5sVzCgJP0ahSTaDgqsVGcKpg6yud/05r1r7vy5Nn7P4o1HnMDwXXoj6sU1BZRla6pPC3pT+c0d7VDEnqPHxg2y0fHLYxtWEYKw1UmWqQQv6mr3bscQDAuSkzOw5Y0++J5p8cOxEUqBcfGNuRFQN6bGp9z8MvjJz0++ix380Y/fxXF32RK/JCWGDHrTvwR2/E2rHaMBJ49AqV/Lx80c+x1oq7eQVaHs3yEATf1nHWKaKBwaQsAILqgyLA3XkV70W/2H8V5I2CGCa53oeuCaLLZniAJAdwlBE/V1jlTFyQRpDrD9ekgeiCOODuS5EP6VVmCACIOqAc4FC0COFSYNwICmww3CeaWFeVWgCAtLYaWkNgfZr1aJVGoxQYFhHNW5UT6v9O63/RnvKWN3hM7t2v9OZj4X9MqH1b0SMo8heDIo1EMeLaXCu2thgssJ9gh3ulOmXIzEq6+lGT0nu16ni0RthcQ6x6cfqLlwavlxlieJGhTVn7Isc7RlfF569QLYVjuG+3jJQFRAhDdPZK/tYEvHy1eDoRxbtdiYshog2KZRA8JI1h/i+0V15DZKeEC5uIqNkro2qrKuogAHgQ3ssxOMUr8RWCLDNyAJSBzxox5d6oE2w1RDRUIpnfWHoJQ1hr1B8NUuxcrRaNcKbMub6WRNmqntrg8BfyH3PG4rK/YoHfk62HyqbtCHVcQT5iU7SgvX+heMsA6pH6SmPeWRthCYCyFTpBnaoXs6SjuAhAkpGhA+8RK8nyFQEwroOfjL5lhTrdqEJ9/iYT//dTv1N7C69NezR3T1n+3XBm6XMjZhxwRJNtWZYFQKP5EiJN0YCgGAIAIM56csuqMYZfPho971C+X9K0/5z1I8PXYhgGAKnkDubk1p/QQQ8unP9U7ugv//aWuyR6gf8kwpuX119xhqC2UO09z3RX6+HbI/2v/+eHuwrueb7lq0evb5yj3Xn71o6e1eX+JQ/2z1hzJr/SelnNIs44lMt1MpakaG/2lKFPLAlevkimBChEppZgALU5Cx5yFp7MLjyZfWSfOeP8whGPNvp50SUKgMspiLrba6ufot+57/UllylYs/bDgYuPLpg54ftBM89gtWEYIw2WImkARYoCAwcNAKT5igV6NVLj137Wi1FgFKCdOb9+Of63LavHrt47a+avu0esuirM8MICO97dIcroDV9XqA3DIO7WaCACy4Ewki5+1Kzi2zrOIlA1mUcAi7BVIw8BQADzrEp2V/5uMIldP2IXlgZbUTmKFq8zxELKUSaNUub4nzZgRRC9TzfCxVOrivwiuRf1yB+1qor1rsIKhaMXWBNc5mUB4RgpsFeV5jkyyW1eeSePdrxLk6stXa0MRbOIFY0rhaLytFBYW/RZZSBoVnSk3HtDytYM+b08VK1j1ggbgW3x+ouTRgQvo+SPBtOesjOtKOWoYCL1a592szvSrLtwFpTuP7z6N6xJ98iKfyg7lM5RSxh4GJZFcoyZVmCvjFhU+SkkZlZhemWDCAAecHg5FqewbHSJDiJZI5bci0afYCsjoqH+bcm8MjBGpGXBidNMjQviG6xewhDWGvVLg8lXm2aqUDWNIgirdxrH+IIXKv1oz+OvS9rSjQRDorQNYyr3F6fUfQHR3eXHswmiLcWclkX15q2KCAMluuTY0WK89eDbVAgAAN6oe48m9NlfLgR4i8rBks7CK0WORo+995juwv++/Kt8qRlvPGT+pmexT0f+d3q0493AxUOXIKP7vemxLdAQWV3aQN5HC7787vDpE6eO78vhOkVYE6ErP8/rNei9Q60n/bri2dsrbpKrhcB6A5d5I/srfhDUFuP4cfKQO/s/Vv5n2MK/AU4uGHnvB7k1fx9GKz5SUlNMzaJwcYgpNRImSLNA2S6ePlHkY1gmSCOEKm5bOliGZQHBy1etuJyCJTe/VeUvzLGWLWRQJdlHCkDXTCeKF8PoaLDuizkl0Pj+tuqyo3/yxv9JA9PJ0jDfQY1OYPT8fKd3Hy1B01rrBa+9RhFseMr9z0+c+XibSlcPxrs7RBO9YWhAHGxYBXG3xj8hkBvSoKIlSx2RRfPrEwAwFkkIKOLWiruOpaQ0DZiC6+fVAYA5YSh4Qx8IVq5FhICWpCFUiSh07U/lBftwNBgLEQJK2jLGW9ZEFJEGoV0a9wkJWSQOXhBFHwKsXWZfbLRfJDUTzKprR99rITC8eWmU8gGaQnGuwFNY8JjK9lla0VIl28qhbR7dUh6fKxGgAZGGu1CaRVgKEDnvXdMyUppe1csxhg0AgJdwHcXwLm7ZnS6ClbqOVV8CqRk2Atvi9xcXjUheZoolgXNE4BwROC++dkIBUYREUoQqLp9MsS5J0AaYgUF4a0XTiWLSi3WISR9IOgcwzndZmAAQ1isjF11DzbCJJthqomEEAA/CejkKp1RAEpKmAXNVHNVeCV5rxJR7IyfYsP6KaKh/VTKvCiTdozAigcORDpA3KL2EIaw16p8GizAOnPJTioEezKK4/lFVLoZllfx46KooZKk6/wcABvP/JmUau+W3+uVG1P+nWMCvaOUJBZEaGjfVihSZKhEQqU2btRF5ivMLrCHw5361+O8h899/69zcTaeUPaa93Mz07egfzQwAXxGg0kbNm92SeUvnu/u/OKSDZP8H9y09Uz4Ulref9kon//Y3t9gMrVoYAAAgZL1yudjPE4R0wY+frBu7dO7a9+SLvj1YCs1aaareCBAewYJjefDSC2OHXNh4sjgoavQfDYA1atOwntMbhg1lNm6Z8uMHlq7jvr9M1VJgvYDbvHz+ijcEtUU7C/Ku75FRNXIDYEUXzpb4WQBE0Xb8C3fYT5694kH0zXuOmXSn6OwnPxaFgLeIMw5RsVqKUtZKOwhYOkQjMjUh+K4NPKXHpCFpl3MvlwZQ/a13vTS5k+jM0u8LQwA8TqGu/nmo8LVh70999JX12aXiJo9MeK5l8O/38/yAJgljKIgG6z+zedm5oTNmzxjvX7k31HrC7B740XnrL5KCBfIwFKU/MO+lJqf3Hs0p8aHaZgPGDjR69/1R4/MC0SNisCk6Tlg9pZ8KevoPP7bgYijKWjGCL3p5aAizIQ/ibo36F8gNNMtDiHFX9B++tsudf7mSB5iTELXPykh6OORSseM3cYQfsewyxwGnoW+pQan25IpoYPAUhjygICtWKcLTsMucfzmTHzLpxRpPPgYGstpHpMODwoNmUHdzKsyKoBNBtCE0pn1IQbF7VQo8X6IdbaHf13ttSG0EhteLwQLHxPCwPel+8FzEwFhJL4QhHnAQbiJQiDMMI2pBooDQvqiGzXyupFHShCCtXKo7IMjSmEfqOVuR9RiMLESRjk71nRAgaSwg9Z4u/yEFSQoQLYGRhmT3OOREuZcjt8UJhNyjCHV16h4Cen+KP8JGnuj0CosI/uKgIcjLrJMIOBzKQQ7FVkXQxYraOVVGJPirKEJF7k4kUK+gxLmdkD1qMY5SuY5IQl5A5FW9HDYAhPXKSEU8YcMTbDxoyAHAh0hOQW5xqXvQATuIuzgUCtz1u6RuMja3lyMm2LD+imSof1cyLysykmI/4Jk+1YMeLF9j/jvSqLch6cUJES3SMyChUAwQdUiUxjJOnPJWHIAKaw1+GrwCBdBAtKQ4mRJlBeTdPRKMsC9Rk5V+tBf0kgImT+WxlaiedCA+uT2WSzquoXwJQHLbuJW/D00q+8fozzaMhvzpfR5bmE8BdeWzl8Yo335j4qKPFJT18NbZD7xVcYEzT5Gk+ZQvVo9Q2s6e+Gv1a099tC3HVrGyIU5t/38a0PV/e9f1DbOONUMfGH2U7xt6jGP/+EcnX50+5oV3Fr2OAgQsZw4cL4nUJYN5ax6bpF48/oX1A9QiAMpnzz+6J9xPm5zw5218+sWsP9fO/uq/Z3p/ct5fa4F1DT7z8vgr7oh3W6hUa7ztockjx+tFAN6rf+788MH5X54mIxRxxiFCqCUIE6p8eQZN0qi0FrsAUGlSVteh48c0TsKBdRce3LGw73sbzpAAvE7xnVz68KvIwnETvx8iBwiV5v4xY+S8jaUMYAIZCqMB5IWFIydI506esnzt2+A9+8vSh6ZvKjtjIVAgD0OMDeq7vTr/+Qw5AuDNP7x9wtOLtte8jzN6RAq2wJX9v5v79rPvPWCmoq8Vd4SlIcyGfIi7NepdIBcQRtIlgJhi2TrOov5NKRafTfOARS4GukBuX6J1Rzwvx6KBLUaT1aHp7tDdxQIgdKHMfrRissFFg0X9G1PMTrumuzX5fgBA6BIi6IrUFiVyrdCjQxzqEV4UA2AQxioJRKxVGSGRe02y6DWT7jk3+aEqFBIqkNO8CLVHb1HbNL2tyX0B2Ep6ISyC0tL7LSo5AADrEPu+S7bn16atMqDBbUlevV31lBlCeGCHxHv9A8tIcHuSO8WmHGZWUljgZ4n3NAYsSuVJqPYu/YsuAITOl9sWazzXvCwgbAAAgC1VOE+79P8Ruf6INN2NVq9wiBQA4WkICxtS7PhUB486NS95UADWJfb/kGyLeMW0sE7ExxCh9ieXeJzqe72ap10IAPjwwO/iSl4OFwDCeiVPEX/YAIQPNn408ADgpR7BKSxN3G9VyoG1EK4VOmdh7bt5OPB4OXKCDecvfkP925I5hVJWRPawyQjA2MSBP/SW32RUxBlMw9GLG0i60zDRU94/e5iNPSD0fVrJbzgLPNbgo8EnUAgNVtzHnNKFoUvFwYO6kl1ysvIN5kJfUhASu38mlE8EqN8VZM0taVEAuV12q5B6CSSQQAIJJFBvkPuTZ5nxnaklv4jqcqnmBqERd9SnXg2tLXFQN6tUsje1+Kfa8anPthKoDB7L36zBVm/AQqopxc7IX6oAACAASURBVGqToWgFEdtKfcNPlQ2foTDcrHoJQ8O3Ri0YIo3tqeOC7nkpbksMywfLHk8v+0s87kFPIIEEEkgggboEeouHEImcMe6Uu1lpxB31qVfDaIvFOzmUSlGwFEVbumQyzHumtnzqs60EKoMnom7WYGv4aPipsuEzFIabVS9haPjWEMKQCIlTWEQRVA7xwEGD1ypwD0ViCSCBBBJIIIGGDYQhugSQUrU/lqXum5ZG3FGfejWQthAWVdFET49SyYJP5Numd8R0DfU/21YClcFn+Zs02Bo+Gn6qbPgMheGm1EtEaqeVKNVhSoJrM0qPcZ+Pja81BNPggSCGaCNX8hgvxmDBg0mmbZE+6MjTeOIgQAIJJJBAAgkkkEACCSSQQAINCwiLpYSwcBdHMRYxJfTLSTcqjVojcRAggQQSSCCBBBJIIIEEEkgggYYKFqFLxHV+ad+NQiN+iNc16PUKVNth6LvThrUhAABQTYex014f20ISL+mYoffitcvnd5TGS2ACCSSQQAJ1BISR9LRre4Ya1q5HWVA5wK5MYwHqgCFKy4aYDAODDUvlfwoII+lh1/ZoYAGQQANHImxuaFROsPXZ1s2azG9WvRLgxQ25BIDpOz02fljnVBwAAE/qMPKZAT0McdvPgCmyenZpmyW7IU2TQAIJJHCzA73VmrH4qqZsTIbSkrvcimZ0/Q81qtCoCkQRVNztIdR1wxBh8GYBiY6tI5V59KrbtrQe4+IrmYuvZC6+kjE8UFM7rK01fWGhoRtVpQilJd3ciuaRzRteL4SRPnE1c55JaYinvvXZ1s2DSAEQDXiit3re4A2b8MFWSxr/1gCIe0qpkmABoI78VbOtmzWZ32h6CUN9vtqEoZ4ZVp7novLbn/24+NyWyVlVptOYrtPrn20tPp/tzd35x1uPtJQiURShqrZDl2/9zXU+25uz4/e3B7aW1YgDVHXXy1+5zmfvfEDdoGLkxgam7Tp85i9/7POcz/ae2rF7/uPtldd9zOPK+BOpTVvhYkN625S889nea38OTbtTGrGIMw4x46C957OP/rexCABA3uO93d6/5/WU1UJhInPIa4sPHTzsPZ/tPfHTr28Paiuv4M7nFETR7KFF67dbzmd7z+87/sWkgY3EtWIokEbZA6rbHnxhxZdb8k8eLVzSWVF7geGByG/tv/DL70vOZ3vPHyvds2HD6Ns1tVtwExZsddUdYspsAm3IKzLe1mggAq+DEd/pR60yr+mffXM0EBpxR33qVbUtl8wyP7X4g2S3PezDLJIUwlBGlBLb3WTh27oGhMFTKSBCIrkgqf98W7FAEpI/Wpr23pXMxVcy3jRp2gmcL9UVIgRANOCJ3pgC+wYKtoaPekgpdeOvGx5V9VL69NMLypfYZpTo+/rwcMfab1ygGW7Du1dSe3OltZi9HElgLLUIUvlkSfrCK5mLC9In2hSpYSf5VRmitHxkUaNrq6JvmLSdQmhcI7R8si8ytH/w5UljxnbRA+RXfSDzxc8+md7k0DsvLz6l6jl92qyf8NL2bxxysHxFmOH+L9ZNuev4smeH7bOk3TN97owdMmu7l/dYr3VORNbhxaVbhxtupkMVDQHirIELxrQ+v/a9Yafs8tYD3pr0+lbyXJvp2V7gdWXcUZu2OGIDk6pk7NlpT83Y6WQBgA05LgYiFPHEoUjXJBkg46HujVZevihuMay7CqRpmQoUfMJeIAAUjRPm7z98fUZRKPn2gbPGT9/sPXP7O7l+Xqcgqs6L1s/pf2bZqKG7ChTtRs+asm6F7/8e+jyXFMpQEA0AQGQtxy39eHrW6bUb1oz75FJB0QVf7QRyQnrbW2vmjnRtmzpm9hEbnt7qjg4Bh1+o1QGEBlsddYcYM5tAG/Ig7tZoIAIrgSDlbRhqr5yioq1RJ2ggNOKO+tSrWls0ShWjgAEdCvs0Qu01XL1As8WCrnfm0ovB3R+nBbVIqCR+Y6v6bCt6IAzxaKmurdi5LsVvZyQ97doRZna+0VncYKY9EQIgCvBEb2yBfeMEW8NHfaSUuvHXjY5qeuEMrmPJbQb7FRbP8qn6WlKba0s+VYYEd7cGA0QZlN/rVPcMYACc2sTi5agERl8LpeXDS7W3SJxrU/xeStbPljSOod/W+6uN9KozZFE9jVzWmjZLGBEtbufSPlGCU2nmY1jUjCKgbAmAaDZx3piuJ74cNqXD8vmZlculrYZNut23aeTUd/a4WDiQI73t+MujHlz413oTw10Ehu7D+spOT3rj861FDEDOc7JOZ2aP6PfuvnWmspE+mnLf9E0j/bNGvD/g63ei+80LVbYa/P7cF4bdpsP8xTkWPUBBpVJJ34XbHRqViHHm7Fw98c21B5xlDeGNH13w47SeWXIUwHvhwNaZU5d+U0QCAGa4570Pxj7ctkmqHAXGmbNzzcvT1+y115iI4CmD569b2+vs+EGTV+aTPAIBUEPX4TNG3Ht3u6aNtFIcgCr5ZdhDr2+vkxk2J8i81fd0Wx0KMQAAe44HO/dYd0e7VDw7j+JzZdxp1KItzthAZVrCX3g859ypGtMjjiKUJw5Fukz55V1H9Pf3MX611tCvu2ffIaRxcx0OJlKgzlTRV3PeLv/7gXOye+9efHuWEsn1s7xOadrrXm3xynkrv8klAU6/Mr/3kCVd2yqX5VpZgQwF0QBE0e31Ra8hn3btu/l8MB4CuSEyduhp8P/w2oKl+70AAEcObYnBymEgLNjqpjvEnNmE2ZAHEfXCUx9YvXluP/v6h4ct2u9mI9aKu3lrbXk00yOV4u7sKpfoIq0saR8wKAZMscy1Kcl1scL6IkrW16bpFsAlCH1Z5vpG676EAgCS7kwe6SKSWNZK+PJZon0QdUmdq3SuAhQAAKOJXnZNT59YAaxD4v0pyf6XiGUj0SBIxSCb+g4SQxGqGMMAKnuRiyGS5NGPcUh1DAAwFsL7fZKj7H5glJYOsmrakiI1AwBMscy1JcmVVzOqWKy9zfiMn9xotBzAWR6BAKAMqB5wy5oHRVoGQQEYzLcy1ZJTRWZ1vUSkZmqJPDfl6iYJC4AYXMapTurzdPNpFABAFlQOtqvakRgOQKPURZV5map8QCmgLR5oPcaZtrIdUswxQ9FaoloVpKkjZU5IpGJZC+H+RufMwao9EKYttcc4u1wmANB7jFe3ilkAtJ0pfUTI80GavaBsnsZInytKzlCWvKsJGXjDJva2gNtfPDTIEK+XuSAKyVoy1H6N67iYBSC3stIOFiKNcRZHGlBydCIAPi/zMURYvLVLc59X2phCAFivyLfZYM2ORENYr+QtCh82PMEWXa9soAHADy6noLR0kEXbnsTlLABCXZS7vtF4CmLYrFbNGsJzL1eC5U0O0Rjq35LMy0xUIg7mocE8qT8PNU5waNvJTEewG0uvmvJFvWzqpmL3Kp3kSSvXqfCa1uCmEZXAGGgoA4pWLLk5yfk3DiAhLSwx06ZqTfv/qpL0wvqL9eFkgZgBIC+L0BZXNV2CaLaMUXlTZlmxn1OLd4hYAEApxeSrSZSu6EM5HUsWKDNrIPfNvn26v7r295JqswvM2KFjKnVqyxnj1O8OXvmsD3Ng9yWsRZ9bCN4iVKaVAeMp9ZQN6RhLzoliNLNTenn6E2UMWPnO7TsmT1mWF4ySK2a4b+WGqY+Ldk0ZO/6JOd/khKq/Ky5uX/LM82Men/lzqNeEzbO6aMpXWGlr9rezJr/Ue/DwvuO+ONvy6S8/GtQEAwDAFLfc07mp7asZg0eMfWruTqb3+E1v9dBVCzJxxtAFa1b3PPvK0FdX5ZP8AgFE6XcPHdEN27Fk9rBnR/V9Ztwzb399zF2rjCwITPl0AgAwbVYy5r2Ub6WB119xh/C2uGMDVRk1eMCvMOgU1Z3PVcQTh6hcnyR2Hlnxl/6x7o3a9u/k2rbjNClPV8XjixK4qkWvJ55vHtz//Ql7uQ5cTgHSklfIpvbr00yBAKCqdt2aIJcP53rYODCMhQaafPebQ4ysYeiPfx7xnt5zfPXkwZni2gjkAWU7n+ORdn/87luIuPwOIizY6qQ7CMhswmzIjch6EZndehtQokX3u5LxKGrF3by1tjwj7hJALXKfuWr4WGSONcmmlUle2q8ZZZOWnZhBGOmQUn0vOrhdb1qe5CX92vEmVQoLAIiKlGhFjk9TbFdIeTtwr0h2WgOaIT4cBUAYycBSw31UcHty6ZJk+0lWPsykvZWJQAOlZU+ZkjqC/1u9eZXWW4xUD++wDAFYr8Tzg870obFkqd5VQiqftSh05eRFzQMin8K6zGD+QutjfJpRNmn1/cMsfofNONwf2ppiOVg+buAUCIBo/MoufshVW1caTEsN5jVad/WhPId5w4OVPGLWtkY96w2lC1NKVya5jkjoiuCNc1tOmeXd1OL3kt02jgcQNPCrzrxc5zKFVKNM6oxqPTBcW26Z5d3U4nmpxe/rvZ5Kj+bLSYaWtq7YxikhZbey9ClZKMQbNoLaAm5/8dDgqcUHCgs5AG/tF0kAAND0gAjwYEmkuRx3JwJeL3MzZPFOFuPzTolX5liXbPos2bpN6Y84pRTWKyMWhQ0bnmCLqlc21ADgA7dTEEbUPIg7lJbPDKYvNAGRN2miWZkc/di2ujUE5l6eBMubHKIw1L80mTNXlJ5SVtIpeH1v+Y2hV00g5LbUog90rrPVV375rcFNIxqBMdBARDQKwLgqFPGIg07Am1Q7XxDphcgCQ1XM2t0SXxHgbYJY2T+JkNQIoZMSJsY5Z8UgkGXDVsSTMtTgPGlm1FnphA43SpyFVpCn68QI0NxFvuLDh4vRIZOf7nDo82wzqmrSVCcBXIojAAB4xrMLJmVtm/DEHgetjJZl4wdHPig7Of7Fd1ZeZQAO5er7PTau8gPBc7/+9N1eL8DR4ma99jzSty2xf68fAFjPhT2bLwAAwIncK4Y+D7zRraXsf5fc5bUuHdj18z4v7DtyuUmPvYP7tiF27S7f/QyoqvXE5e/Pydw9cuDcjQXXVkb4BQI4czZu3vFnQ7gdEpF3fOGtaZknZo05aGeB15W+eC9UCG2LLzZwpcpfit+34Zf+CPjP/rbmtekrfjXTvEUUdxximlQVFrIe+PrYGy8PG6Pybhp3OXmwPEtdyyUAvOmIdSentgAA+29znvy6oPr+oepOAapo24tzu/w4Y13OXTt32FsObpcz6ckVp4JQO4Yx05C36H0Hbt/5w/JP9+V7lG2fnz1t7Ro2v9+iYwGBAnnAOg9MGPXxqg/fOrHvyS3rN3y87pc/zUJ3XgAIDbY66A5CMlslxGJDHhIR9fIc+2jEAnNn185ll0JR1OLL84LMK0zgdRCk4j8MtVtWbS8fa5L5ThAMQNAZkk32ytJYfx4CWq+6E01+k2LbjbMAgYsYNs2k6k26N0gAACgsdFkSlIqgFUZelIb+n73rjo+i6tpnyu7O9t3sZlMpUZoCIuCHdAQsoKiAomBBEX1VQJoF9aWJDVABBTsgXV+aCjbEQhelhGJCCwmQhJTN9jr9+yM92ZndnWxiwH1++QO9e+957jnPPTP3zr0zRplhKIXhwKj9xt5cYFWy4wQKAOQFGdr2sr4P5TxHcMI0kAS/vhNHbjTbD+AAECzmVN1c4RkCACkLZJafyJRTdlbVyalM4jy2ynmUjQhkExwQQTujfN6nTuUD5yrvDxBOPshqHsYE1iXbj9R4biDaIABGHdH4LwjcZAi4NzQQHjNw4JMHzxKkDwCArPuL2NniUKYEBQxYgR/z53WuPQQHEMjBsZklmkGke41YvKrbBAAZz9VcdvMS3jwwdQ3gO2U0C2grn1KFeQ/JeAAEhGVDSbIFwvESpiFWqxxyDi2/VPDAB9GK2zsO924wEhMdybOC/mxU3pWkNie5LteITshawoOoUnICURZiqCD19waQU6ai5Wo28j1XBimjEsIVhZZNWLGJjEohW00sABGEjHK4oPAOInia4IAI5uDoTKv+Vsr7pSKiC1VIb0Sfe3mRBCser7CO+tcmcxal7QiSwGAocFdQv0IirBZDekOEhrS7MIFavJsIukAz2KO4oCM9gJpoDAekzosYxOMlZxXdXfp0IDfJOR6AxwKH5cZ7fQqthnEBkhRQ4JjvbFQLFgDVSwBh4Ds84dY759Alxep7Iinyn/z40cWt1k9bkTsFAABYAMi/5GYB0JQhL72WseuxZ4+5o6CqaN09HQo3/FkW9npBF52xgi7ZIAMIAACe0u/xBVNHDu6QpOM81qAecC8RIkXSRaetoDHrqwOiGPrup0Pp/U/dPmdjcU2jETb4TwPV9Z60bNsE9RdPj/8wt/b8SiSUMUd0tsS1QZ36dHzbTwEwbZteI998d+q3K5nuI1ecpsWKhHWI6SxqjCHtx7850OKzh6xL5uUHH2FRrZ5Awd2AjeBM/tYXeh5Lbdt1yPPTZ+/+gO458bv8qqt9yKCgqvSMNEXBr8u+O23s0xZJ6Dl2ROct7x2ycw1hGC0NVJtiUULepi937HECwNkZc7oPXz30oXYfHT1BSuyXGDj74eXD+2/qOPCep8dP+23CpG9nT3jyy1x/+IqikCbsmA0HaZmtqna0PgwHkX7RxT99vvinaGvF3L0SPY9meAlCbOs475KxwGFKHgBBzaQMcE9O5XUxIA9cBnULEsMU1WOoqiG2fIYHSGIQRzn5EwW1zsSRLIJU/7g+DcRE4oB7LoQ/pFeTIQAg+qB2uFPTnsaVwHkQFHgy1CuaeHetWgCAdLRZOkJwfartSC2jETYYEmHdW5sTGvjWGHjGkfSGjzyq9u3X+vKw0A8TGm4rcpCyQBFoUikUI6rmWtHZ4rDgfoIf61OatLSVV/QOoKVa3+Xa96P1ZFOFaPslGC9RGqJR5oixhZZO5fZlzreS3ZWvv0KNDI7h/t0qShWUIRzR06c4Zgj6xGqJDCJGdLuSEEPESMpVQB5URjH/lzoqqxA+KKFkExb1R2VEtmqjEQQggtBRjiIoPoW/AFQtwwugHGLeiCr3Rpxg6yCso+LJ/MrqlzSE9EbT0aDkrlV62ThX0rzqtSTGXvvUhkC8kOus6UvK/4kFf0u0HSyftiPMcQ11r13TnvX9heIdgqhX6S+JemdtmCUAxl7gAn2KWc5TzqJCAEV6ugl8h20UL1YEwLn/+GjCtcv1ack61B9oPfWrH4f+vbeAAtQ08LF+ejN8c3hYtZH3d+UPfLLDi0e8gjTKNymgkbwJkWVYQFAMAQCQZzy8ZeVEy88fTJh/MC+guGbYvPXjQ9fiOA4AqREO7uTWH9GRdy1a8Ej2hLXHfBUhibzBfxKo4ZYZn387llv2xLjZB5yVOVo0XjGGJFuoMSJtsJ6cfWsmzO11x9K7hqWvPp1XY72sfpGQDkGtNql4imF9mTNGP7SUvJhLJQUZRKVXYAANOQtOuwpOZhaczDy8z5p+btG4+1v8tPgCAyAUFETf96VVj7Bv3fby0osMrF7z/oglRxbOmbJ95JzTWEMYRkmDZygWQJOkwcDJAgBlvVQGg1ro8arHelE2GAFYV9Yvayf/umXVpFV75875Zfe4lZelOV6asGM9HCJUb+i6Un0YAjH3RjNpsAIIp+gVQK06sa3jPAK1k3kY8AhfW3kIAAKYd2Wip+Z7gyms+ohdSBp8ZeUILFYzxGjtU6UGrcr5lTFoQxCz3zTOLVKrVvuFah/qVd9v0xWZ3QWVHY68wfoQci8PiMCdAn9Za52nUtzgU/fwGie7DdnGklVaOpJFrEhCKRU1p4XSbLFntEHSqunOePbS2o4ctV1N1xmY9WQj0ZZovARphIkySn1vKd1TfqYVZZyVTJQB46MefkeqbRfOg9bzu8/8ii1hoKrou/JD6QK1pEGEYbmSo8y0Ekdl2KKav0KiZhViVDYLAYhAIMrRBIXnI0t0EM4b0eReNPIEWxNhHfVvS+Y1gXEyIw8unOXqfSC+2fZLGkJ6o2lpcHn60jk6VM+iCMKbXckT/eT5Gg/tReJ1wViykeAolLVjXM3x4lJ6ziOmPgE8kyA6M9wpVURX3toIc6PEFh89UoR3vO8GXfkm/hb9+rdmz/x8PihaVAGechVcKnS2eOCdB0znv1r7lw+Ac34/fdTNwx6o+Buz6BjAyYXjb30vW/QZYDD34AVI73drWnQLNERGr06Q88HCtd8eOnXi7+P7soROEdYHfemn+YNGvnOw47Rflj9+Y+WX5BrQYJMBbzVqwabHsY/H/2dWrelE+HjFDpJsRaMNtPIlJfWbqV8UQoeAaQ0KjmR5YOy5p04U+jmeI1mE0MVsSwfP8TwgeMWqlVBQsMR2bXSBgixb+UIGU5x5OB9MbU2yWDGMjAbvyc0qhlZ3dNaXH/1Tt7ouFUpPloR4D2pkDUbOz39q95FiNLWjWfLaawRiw5PueHLqnAc71fj0YKyHQyTqDUEDYuDDWoi5N/6JBoWhJDUdeOawKpKnTwDAlSloYIg2ld86VlLKVODyq8+rAwB3wpL/ijlI1qxF0MAqUhGmWEZX/dVcsA9FgysjaGCUHaL8ypqMIVKB3mXwnFBQhXLyvCxyCfAOlWNJsiOXMkyx6qqOvjegwdDuZVHGD2gSI7gCz2DkUZ39k9TCZVr+eqexXWRLeWKhRIAFRBnqg9I8wjOAqEW/Na2ilGm1oxylbAAAfIT7CIb38qhudhO80n207hJIfdlItCUeLyEa4aLMFSmCZ4ngWSJ4Tl51QgHR0DIlwhRVTKZ4t4K0A2bhENFakQyiqPrFO+WUHxQ9g5jgtSyEAKSNyvBFVagvm0jEVh/NQwAiCBnlCIJSCQWtTAXusjyivRKi3ogq94ZPsCHjFdZR/6pkXhtImleTjAQPhTtA3qz6JQ0hvdH0NHiEc+JMgNGM8GJlmuqXqgoxLK8UwOnLMrqs9vwfADgs8KuSa+VRtwmok9HAn3IJT9EqEgqitLS6xijTtNTJgEi5pm0nmbcoL99GQyD7yyXHRi14942zr2/6W9t/5vNtS7+Z8L2VAxArAlTZol3ba1te2/OWYc+M6qbY/95ty077AQBYV35O9T4IXQsPAFZ4/kxxQFSCbP73H62btOz1Ne+oF3/zRwm0vd5Q+4sAoUHmH82BZ5+eNOr8xpNFpKzFdQYAW8Su4b2nNowZzW3cMuP798p6P7f9ItPABpsE6q4zX+gR+OG/W+yW69tbAACAtl26WBTgxeIVa0iyJaYNRNN58tM3OU6eueRFzO0GTJx2s+zMR98X0iBaJKhDVK5Xooytxg4CnqVZRKUnJH9rA0/qP21U6sXsiyVB1Nymz7PTe8hOL9teQAOIBIW5/OfBgpfGvPvq/S+szyyRt753yhMdyGPv5gQATZDGUBINPnB682dnR89+bfbkwIq9dMcpr/XHj8xfn0tJblCEoSztzvnPtj6190hWsR81th0+aUSyb9/v9V4vEDnCik3TfcqqGUN1MCBw6IGFuXSEtaJE+MwWkoY0H4og5t5o+gaFgWZ4CTnujvzF1w616y934nBrAqL32zhFf6daKXf+Kg/zEMuhch5wWYaUWLR6b7aMBQ5P4qgDGqpylSI0DYfK9Zcr8e5Ss9zgzcPAQtV5iXRoMDhpBX1fl8aqIV0IYqTRqPYhkXLPyiR4stg4oYx91+yzIw1pMHS/OCx4VA73OBLuAG8uBsk1+oVwxJ1OwkMEC3CO42TtKRQQ1h/RbbNYKFmUKkWQ6926m4DkWcyr9J6pzHocRhWgSHeX/mYIUiwWVPpOVTxIQRKCRAfglLRqoFNNVEQ5vC1BINQeDd3bZbob2P1JgTAbeSLrV0iEiZcADUlR5l1E0OnUjnRqtmpINy/r4tIlI+QvsjAVhQeRxH6RCtcPhOr+suSndO7DCtoHiLp2lEMKQNqoDFckIhsRsYmgOQtADOGCglzr1vdngw6Q93JqNLj7N0XjZGzhKIdNsCHjFc5R/65kXl6UTMkDgLf06+7yYnkG67Fwd73NqV+CkLEyMwcKBsUA0dOyVJ5z4Yyv8gBUSG+I0xBtUAINxEjJExlZRlDdz6vACMdSPVXjob2kixRwOTqvvVj3sBPxqx3RfKSjChVLAIobnlvx2+iE8v+Y8MmGCZA36/YHFuUxwFz65NmJ2jdfmbr4Aw1jO7T1tTvfqPyAs0iRot2ML1aN09rPnPhr1UuPfLAty96w5RXOuX/y/dMvz5r49FuLX0YBgmWnDxwvDjckyZzVD0zTL5n89PrhehkA43fkHdkT6tGmIAI5Gx99JuPPNa99+Z/Tgz86F2hwg40NeUrX/zOAadibu6r3IztXj75zwpGAWLxijljbQpXG5Bvunj5+slkG4Lv8587371qw9hQVpkhQhwihVyAcXfPjGSzFosoG7AJAlQkZvUdPntgqAQfeU/DHjkVD3tlwmgIQDYr/5LJ7XkQWPTd1+yg1AF2S/fvs8fM3lnCASWQojQZQ5xeNn6J8ffqMz9e8Cb4zPy+7e9am8jMWEhsUYYjxpLnviwueTFcjAL68Qz9MeXTxD/W/xxk5wokteGn/b9YhQx17D1iZyGvFHCFpSPOhGGLujSZvUAgIp+gVREqj2TrOo4FNSWV+u+HOMrUc2Hy1Y6nRE/a8HI8GtySX2pyGfk5THx4AYQtUjiOVkw0hGjwa2JhkdTkM/WyJdwAAwhYTpDucLUbmXm5GRzn143woBsAhnE0RDFurJmiZZ3Wi7KVS0xMe6n0dTUttUNC9CLPHXKa3GwbbEocA8DX6hfAIyirvKNOpAQB4p9z/baIjryG2yoGS2xJ8ZofuESvQeHCHwlf9gmWE/CHBk2TXjrFqGSz4k8J3CgMeZXIUTFe3+Rk3AMLmqe1LDN6qKEuQDQAA8CUa1ym3+TqZ+/dw091I+xUK4QQQmoY02VBy58cmuN9leNaLAvBueeC7RHvYT0xLG0RiDBFmf2Kx16W/1Wd41I0AgB8P/iavEeVQApA2KkWKH/vDxgAAIABJREFUxGUDEFps4mjmAhClHiYoPEvcYdOqgS8j3MtNroKGD/NQEIly+AQbKl7ijvq3JXMGZWyI6p7SZADOLg/+bi77VcWEncE0n34JA0lzWaZ6K8Znf2tyf6C3pxb/ivMg4g0xGmINSqHBy2+3JvXi2BI5+YepeJeaqvkFc6kXKaDlnp8I7UNB5jcNVX9LWgRAblS1kVIvjjjiiCOOOJoM6kDiXCu+M6X4Z1ljLtVcITRijqbsV3OzJSdNc0sUe1OKfmwYn6a0FUdNiHj+ahVbkwGjdTOK9KWWwuVEdCv1zT9VNn+G0nC19ksamr83GsAQaeVIeY70zE/ylEWxfPDZg2nl/4jFd9DjiCOOOOKIozGBXuslZDJXlDvlrlYaMUdT9qt52OLxHk6tVkaWoGgHt0qF+U43lE9T2oqjJkQUdbWKrfmj+afK5s9QGq7WfklD8/eGFIYELU/iEQ2pHeWFPyw+m8Q9FPElgDjiiCOOOJo3EI7oFURK9IFolrqvWhoxR1P2q5nYQnhUxxIDvFotD36Zf5vZGdVnqP9ZW3HUhJjnr1KxNX80/1TZ/BlKw1XZLxllnFms1YcoIdeklxwVPh8bW29IpiECSQzRFu7EiT6Mw8g/Ekq3hXuho4jx+EGAOOKII4444ogjjjjiiCOOOJoXEB5LorFQH47iyuSM1DcnXak0Goz4QYA44ogjjjjiiCOOOOKII444mit4hC2WN/pH+64UGrFDrD6D3qRAjd1Gvz1zTCcCAAA1dJs08+VJ7RWxah2zDF6y5vMF3ZWxajCOOOKII45GAsIpBjiMA+jmtetRRWqHO7SpPEAjMERZ1ahSywiyeXX5nwLCKfo7jP2bmQDiaOaIy+aKRs0E25S2rtZkfrX2Kw5RXJFLAJi5xwOTx/RMwQEA8IRu4x8b3t8Ss/0MmCZjQK/OGaor0jVxxBFHHFc70Da29CWXDeX3ZCir6OPRtGWb/lajFo3aQDSk5hYvoW8chgiHtw0qTHwjdVmkX41ry+hNXnKp5ZJLLZdcSh8brN87rLMtbVGBpS9TqwhlFX09mnbh3Ru6XwinfOhyy/mlWkss+9uUtq4ehBNAJBBRb928ISqb0GJrII1/qwBinlJqJVgAaKR41bd1tSbzK61f0tCUlzZpaGKGNee5qPrGxz8sOrtlekat6TRm6vHyJ1uLzmX6snf+/sa9HZRIBEWorvPoz7f+6j6X6cva8dubIzqqqmspb5iRcy7TV/V3cObN8SfusQJm7D12zs+/7/Oey/T9vWP3gge7aqtjLBLK2BNpiC1U1+f5L93nMnfeqa+qJiIb4SJBHWLJI/eeyzzyn1YyAAB1/3d2+47NH6BqQIeJlqNeWnLwj0O+c5m+Ez/+8ubIzupK7mJBQTRt7168/oeyc5m+c/uOfzFtRAt5gxhKpFH+A90Ndz29fO2WvJNHCpb21DS8wdBA1G2GLVq7vfhcpu/c0ZI9GzZMuNHQsAU3aWJrrOEQSr3CJKT5ULTJWHujUdwrcLmJCJz85gBqU/lK/9m7i2ZCI+Zoyn7VtuVWlS1IKXov0eMI+WMeSaAxlJMlRfdtstC2qoBweAoDBC1TS2r1n7cVDRS0+v6S1HcutVxyKf2/pYYuEudLjYUwAogEIuqNSthXkNiaP5ogpTROvK541O6X1m+elV+xxDa72DzEj4c61n7lAk33WN6+lDJYKK1FHeVwDUZTi6C0DxenLbrUckl+2lS7JiXkJL82Q5RVjy9sUbUq+kqpsQeNxlShFXdfMkvXu56fNnFSLzNAXu0ftHzmk49mtT741vNL/tYNmDVz7o94SddXDjp5sSLMcscX62b0Of7Z42P2laUOnPX67B0qW5fn99g4AABMqVPxZ2Y+MnuniwcAnnbmBmPZp38z5BkjFk7seG7NO2P+dqg7Dn9j2stbqbOdZmX6QDSUMUdDbCGqbs8s2zrWUufAjYhshIpEdCgztU4ESL+7X4sVF3Pl7cf004EytaUGBb+0CwgAw+KEdfv7L88upBNvHDF38qzNvtM3vpUdEA0Kouu5eP28Yac/e2r0rnxNlwlzZ6xb7v+/uz/NpqQylEQDABBVh+eWfTgr49SaDauf++hCfuF5f8MaFITyhjdWvz7eve3Via8dtuNp19/ULegMSPU6gFSxNdJwEFCvECT6UAQx90bs3St8uYkMBKXuxDF71QwjoXLs0ExoxBxN2a86tliUKUIBA5YO+WuE2Wu5fJ7liyR93lmoXxzu+TCVNCJ0cezurZrSVuRAOOL+ElNnuWtdUsDBKQY4jOOs/IJkV1GzmfaEEUAEEFFvdMK+csTW/NEUKaVx4nWlo06/cA438dQ2i+MSj2f4dUPKUtoZiz/W0pKHW7MBoiXVt7r0A4IYgGBvoolyRA1GXgtl1WNLjNcqXGuSAj5GNdSe8BzHvmkO1LnTq8uQR80sctFYulnByVh5F7fxoWKcSbUexSJmFAblSwBE26nzJ/Y+sXbMjG6fL2hZs1x5/ZhpN/o3jX/1rT1uHg5kKW84/vxTdy36a30pJ1wEln5jhqhOTXvl062FHEDWE6oep18bN/TtfetKOQBAVUYiUHA86+zfUdznotrr73v39afH3GDCAkVZZWaA/BqliiGLfnAadDLOlbVz1dT/rjngKp9S4K3uX/j9zAEZahTAd/7A1jmvLvu6kAIAzDLwnfcm3dO5dYoaBc6VtXP187NW73XUm4jgSfctWLdm0JnJI6evyKNEGgRALb3Hzh536y1drmlhVOIATPHPY+5++YdGmWELgspZNbDvKprmAAD2HCd79l93U5cUPDOHEQtlzGk0wBaadNusTeMDc8e9O/x/b9XapCIsG4EiVESHMlNL9cVdh8133J785RrL0H7efQeRVu1MOJRSEvvMFH45782Kfx84q7r1liU3ZmiR7AAvGpRrBt1qLFoxf8XX2RTAqRcWDB61tHdn7WfZNl4iQ0k0ANH0fXnxS8jHvYdsPkfGokFhyJK7DbAEvntp4bL9PgCAwwe3ROHlEJAmtsYZDoLqFYI0H4ogbL/wlDtXbX59qGP9PWMW7/fwYWvF3r3Cl5vIgLb0KpW4J7PWR3SR68tS3+NQDLgilXtTgju30vsyRjXEbugbxBUIe1Hl/trouYACAJLmShzvJhJ43kb483iiK4m6la6VJnc+CgCAscQgh2GAX64B3qnw/Zjg+EvG8+FoEJRmpF1/E4WhCFOEYQA1oyjEEEnwmic6lSYOALgywrc9wVn+fWCUVY60GTpTMj0HAFyRyr0lwZ1TX1U81tWe/FiA2phcdgDnRRoEAG1Qd6dH1Y6UGTkEBeAw/4qUsqxabdbtl4wyvFqszk66vEnBAyAWd/KrLubTNOspFABARWrvc+i6UBgOwKJMrs76ma7ihlKCLREYvclz7OU7pLijlsI1RJ0qyDXOpHm0TMfzZYTna5MrC6vzgxC29N7k1yraBAB2T/LlrXIeAO1SmjaO9r6X6sgvn6dxyicKE9O1xW8baIuobKK3BcLxEqFB0aJRFoKMVnXgmP0G93E5D0Bt5ZXdyohUzlUU7oZSYBABiEVZjCHC4x3dhtt8ylYMAsD7ZP7NFltmOBrSRqVoUWjZiIgtslHZTAUgDqGgoKxyZJmxK4WreQCEyVW7vzZ486PYrFbHG9Jzr1CCFU0OkTjq35LMy11ULCdzUDJHGchBk6c4jV1UpYexK6tf9duXDbLrr5F7VpoUD9uE9hXW94YwjYgajIKGNqi5nqc2J7iO4QAKqown5th1HdnAX7WSXsh48X6cypdzANRFGdr+sqEXiWaqOJ0vaa4N+ymlaIeMBwCU0Uy/nMCYCt9Xs9FkgXK3BrP/O+T2fi+u+a24zuwCS+7WPYX5e8vp5Fe//ePSJ7dzB3ZfwNrffi0hWoSqjCrgvCXe8ntErizrRBHaskda+RBFdckGPBjQWEyaiFcyMMttKza8+qBs14xJkx+a93UWXbdm7g9LH3ty4oNzfqIHTdk8t5ehYoWVtWV+M3f6s4PvGzvkuS/OdHh07QcjW2MAAJjm2oE9r7F/Ofu+cZMeeX0nN3jypjf6m+qITJ4+euHqVQPOvDD6xZV5lHiDALK0W0aP64vtWPramMefGvLYc4+9+b+jngZlZEngKqYTAIAZMxIx34U8Gwui8Yo5pNuSpQ9f8daNO6bP+CyHrHNpF5aNUJGIDlG1OUHuOrz8L/MD/Vp0HtbDvW3HKUqdpovFGyVwXftBDz3Zjty//YSjog9CQQGqLKeATxl6e1sNAoDquvRtjVw8lO3lY8AwGhpo4i3/HZXMW0Z//+dh36k9x1dNv6+lvCENioCxn8vyKvs9eMu1REyeg0gTW6MMB2H1ikCKD4URvl9Ey76DLSjRvl+fRDyCWo3gXsHLTWTg5L2CaJnab60tnzKVc3Vi6YoEHxswPGVXlp+YQTjlqBLzIJb8wVz6eYKPChgnl+qSeABAdJTCKHN+nGS/RKm7gGd5ossWNIzy4ygAwilGlFhuY8gfEkuWJjpO8uoxpcY2XBgaKKt6pDShOwS+MVtXGn1FSF15h2QIwPsU3u9Mpe8nFy8zu4sp7eNlGlMFeVm7oMyvsX1msX5h9HN+w1N2Zd39wzx+kz15bIDemlT2R8V9g2CDAIghoO0VgGy9bYWldJnFutroqXsrL+De0OAV91qNHVHvekvJoqSSFQnuwwq2UrwxtuVSlb2dUvROoscu8AMEDf5isn5ucpfSuqdK9el1RmAoWx5V2dspRfNTit41+7w1fpqnpjhW2bFyG6eCUrXh2b9VNC0qG0m2QDheIjREaomBwWgn4B0DMgUAAJoWlAFOFoebywkPIhCNsjBDHu9RlvykS+FTOdclln6SaNumDYSdUkoblWGLQspGRGwRjcrmKgAxCAcF4WTtSNypLfvEUvqFISjzJUy1ahMjv7et6w2JuVckwYomhwgc9S9N5twlrbeEV/Qgq/eWXxn9qg+E2pZS+J7Jfabuyq+4N4RpRNJgFDQQGYsCcO7KjnjlpAvw1nXOF4S7IPLAMZWzdo/CXwh4JxIr/0+CViYDfVLBRTnnrLwJ5PmQFfGEdD24Tlo5fUYaYcKTFa4CG6jTTHIEWOEif9GhQ0XoqOmPdjv4aaYV1bW+xqQAXImXdwvX6gIl+G0bfh6GQODMr6tfmrX8F6v4PS/e6q7xd6lOTn7mrRWXOYCD2eahDzxX8wfk2V9+/HavD+BIUdtBe+4d0pnYvzcAALz3/J7N5wEA4ET2Jcvtd77St4PqqwueiloXDuz6aZ8P9h2+2Lr/3vuGdCJ27a7Y/QyoruPUz9+d13L3+BGvb8yvulUVbxDAlbVx844/m8PXIRF196ffmNnyxNyJfzh4EA2lP9YLFVJt4emPL5yWsW3KQ3ucrLZumbBshIoYYR1ihhQdRtsO/O/oK8+PmajzbXruYuJ96gx9A5cA8GvGrTv5ansAcPw67+H/5dfdP1Q3KMAUbnvm9V7fz16X1WfnDkeH+7pkTXt4+d8kNIxh1DTU7QffhDt2fvf5x/vyvNrOT742c81qPm/o4qNBiQ2KgHcdmPLUhyvff+PEvoe3rN/w4bqf/7RK3XkBIFVsjTAcxNQbAaLxoQiJsP3yHv1g3EJrT/fOzy7QEdQSy/OS3StwuYkIBKW5jmN2q+rs5eNLVf4TBAdAumjVdJ8qlQ/kIGD06Xuw1NdJ9t04DxDMxbCZpbrBlGeDAgCAweiLClIpg+sxKldJG2WGoRSGA6P2G3tzgVXJjhMoAJAXZGjby/o+lPMcwQnTQBL8+k4cudFsP4ADQLCYU3VzhWcIAKQskFl+IlNO2VlVJ6cyifPYKudRNiKQTXBABO2M8nmfOpUPnKu8P0A4+SCreRgTWJdsP1LjuYFogwAYdUTjvyBwkyHg3tBAeMzAgU8ePEuQPgAAsu4vYmeLQ5kSFDBgBX7Mn9e59hAcQCAHx2aWaAaR7jVi8apuEwBkPFfzFsRLePPA1DWA75TRLKCtfEoV5j0k4wEQEJYNJckWCMdLmIZYrXLIObT8UsEDH0QrxhuHezcYiYmO5FlBfzYq70pSm5Ncl2tEJ2Qt4UFUKTmBKAsxVJD6ewPIKVPRcjUb+Z4rg5RRCeGKQssmrNhERqWQrSYWgAhCRjlcUHgHETxNcEAEc3B0plV/K+X9UhFRGg/pjehzLy+SYMXjFdZR/9pkzqK0HUESGAwF7grqV0iE1WJIb4jQkHaPIlCLdxNBF2gGexQXdKQHUBON4YDUeRGDeLzkrKK7S58O5CY5xwPwWOCw3HivT6HVMC5AkgIKHPOdjWrBAqB6CSAMfIcn3HrnHLqkWH1PJEX+kx8/urjV+mkrcqcAAAALAPmX3OV5jzr16fi2nwJg2ja9Rr757tRvVzLdR644LXbaQtG6ezoUbvizLOz1gi46YwVdskEGEAAAPKXf4wumjhzcIUnHeaxBPeBeIkSKpItOW0Fj1lcHRDH03U+H0vufun3OxuKaRiNs8J8Gqus9adm2Ceovnh7/YW7t+ZVIKGOO6GyhKUNeei1j12PPHnOHkLGIbASLhHWI6SxqjCHtx7850OKzh6xL5uUHH2FRrZ5Awd2AjeBM/tYXeh5Lbdt1yPPTZ+/+gO458bv8qqt9yKCgqvSMNEXBr8u+O23s0xZJ6Dl2ROct7x2ycw1hGC0NVJtiUULepi937HECwNkZc7oPXz30oXYfHT1BSuyXGDj74eXD+2/qOPCep8dP+23CpG9nT3jyy1x/+IqikCbsmA0HcfWGrR2tD8NBpF908U+fL/4p2lr/sHurgGZ4CUJs6zjvkrHAYUoeAEHNpAxwT07ldTEgD1wGdQsSwxTVY6iqIbZ8hgdIYhBHOfkTBbUOKZAsglT/uD4NxETigHsuhN/aVpMhACD6oHa4U9OexpXAeRAUeDLUK5p4d61aAIB0tFk6QnB9qu1ILaMRNhgSYd1bmxMa+NYYeMaR9IaPPKr27df68rDIV3eisxU5SFmgCDSpFIoRVXOt6GxxWHA/wY/1KU1a2soregfQUq3vcu370XqyqUK0/RKMlygN0ShzxNhCS6dy+zLnW8nuytdfoUYGx3D/bhWlCsoQjujpUxwzBH1itUQGESP66EaIIWIk5SogDyqjmP9LHZVVCB+UULIJi/qjMiJbtdEIAhBB6ChHERSfwl8AqpbhBVAOMW9ElXsjTrB1ENZR8WR+ZfVLGkJ6o+loUHLXKr1snCtpXvVaEmOvfWpDIF7Iddb0JeX/xIK/JdoOlk/bEea4hrrXrmnP+v5C8Q5B1Kv0l0S9szbMEgBjL3CBPsUs5ylnUSGAIj3dBL7DNooXKwLg3H98NOHa5fq0ZB3qD7Se+tWPQ//eW1D71pb15OxbM2FurzuW3jUsffXpPLEnATzPA6CRvAmRZVhAUAwBAJBnPLxl5UTLzx9MmH8wL6C4Zti89eND1+I4DgCpEQ7u5NYf0ZF3LVrwSPaEtcd8FSGJvMF/EqjhlhmffzuWW/bEuNkHnJU5WjReMYYkW6hx4GP99Gb45vCw6v/5/q78gU92ePFI9cY5EdnULxLUoVptUvEUw/oyZ4x+aCl5MZdKCjKISq/AABpyFpx2FZzMLDiZeXifNf3conH3t/hp8QUGQCgoiL7vS6seYd+67eWlFxlYveb9EUuOLJwzZfvIOaexhjCMkgbPUCyAJkmDgZMFAMp6qQwGtdDjVY/1omwwArCurF/WTv51y6pJq/bOnfPL7nErL0tzvDRhx3o4RKje0HWl+jAEYu6N5uHeSiCcolcAterEto7zCNRO5mHAI3xt5SEACGDelYmemu8NprDqI3YhafCVlSOwWM0Qo7VPlRq0KudXxqANQcx+0zi3SK1a7ReqfahXfb9NV2R2F1R2OPIG60PIvTwgAncK/GWtdZ5KcYNP3cNrnOw2ZBtLVmnpSBaxIgmlVNScFkqzxZ7RBkmrpjvj2UtrO3LUdjVdZ2DWk41EW6LxEqQRJsoo9b2ldE/5mVaUcVYyUQaMj3r4Ham2XTgPWs/vPvMrtoSBqqLvyg+lC9SSBhGG5UqOMhVIHJVhi2r+ComaVYhR2SwEIAKBKEcTFJ6PLNFBOG9Ek3vRyBNsTYR11L8tmdcExsmMPLhwlqv3gfhm2y9pCOmNpqXB5elL5+hQPYsiCG92JU/0k+drPLQXidcFY8lGgqNQ1o5xNceLS+k5j5j6BPBMgujMcKdUEV15ayPMjRJbfPRIEd7xvht0CAAA3qJf/9bsmZ/PB0WLKsBTroJLhc4WD7zzgOn8V2v/CvXyP7TybROiNIK5By9Aer9b06JboCEyenWCnA8Wrv320KkTfx/flyV0irA+6Es/zR808p2DHaf9svzxGyu/JNeABpsMeKtRCzY9jn08/j+zak0nwscrdpBki3N+P33UzcMeqPgbs+gYwMmF4299L7v+82ER2dQvCqVDTGtQcCTLA2PPPXWi0M/xHMkihC5mWzp4jucBwStWrYSCgiW2a6MLFGTZyhcymOLMw/lgamuSxYphZDR4T25WMbS6o7O+/OifutV1qVB6siTEzpzIGoycn//U7iPFaGpHs+S11wjEhifd8eTUOQ92qvHpwVgPh0jUG4IGxMCHtRBzbzQP91ZCSWo68MxhVSRPnwCAK1PQwBBtKr91rKSUqcDlV59XBwDuhCX/FXOQrFmLoIFVpCJMsYyu+qu5YB+KBldG0MAoO0T5lTUZQ6QCvcvgOaGgCuXkeVnkEuAdKseSZEcuZZhi1VUdfW9Ag6Hdy6KMH9AkRnAFnsHIozr7J6mFy7T89U5ju8iW8sRCiQALiDLUB6V5hGcAUYt+a1pFKdNqRzlK2QAA+Aj3EQzv5VHd7CZ4pfto3SWQ+rKRaEs8XkI0wkWZK1IEzxLBs0TwnLzqhAKioWVKhCmqmEzxbgVpB8zCIaK1IhlEUfWLd8opPyh6BjHBa1kIAUgbleGLqlBfNpGIrT6ahwBEEDLKEQSlEgpamQrcZXlEeyVEvRFV7g2fYEPGK6yj/lXJvDaQNK8mGQkeCneAvFn1SxpCeqPpafAI58SZAKMZ4cXKNNUvVRViWF4pgNOXZXRZ7fk/AHBY4Fcl18qjbhNQJ6OBP+USnqJVJBREaWl1jVGmaamTAZFyTdtOMm9RXr6NhkD2l0uOjVrw7htnX9/0t7b/zOfbln4z4XsrByBWBKiyRbu217a8tuctw54Z1U2x/73blp0uvxVGNJ0nP32T4+SZS17E3G7AxGk3y8589H2h+EcX2PzvP1o3adnra95RL/7mjxJoe72h9hcBQoPMP5oDzz49adT5jSeLSFmL6wwAtohdw3tPbRgzmtu4Zcb375X1fm77RaaBDTYJ1F1nvtAj8MN/t9gt17e3AAAAbbt0sSjAi8Ur1pBki3Xl51TvkdG18ABghefPFAd4UdmIKUpIh6hcr0QZW40dBDxLs4hKT0j+1gae1H/aqNSL2RdLgqi5TZ9np/eQnV62vYAGEAkKc/nPgwUvjXn31ftfWJ9ZIm9975QnOpDH3s0JAJogjaEkGnzg9ObPzo6e/drsyYEVe+mOU17rjx+Zvz6XktygCENZ2p3zn219au+RrGI/amw7fNKIZN++3+u9XiByhBWbpvuUVTOG6mBA4NADC3PpCGtFCTH1itCQ5kMRxNwbjeBewctNOKAZXkKOuyN/8bVD7frLnTjcmoDo/TZO0d+pVsqdv8rDPMRyqJwHXJYhJRat3pstY4HDkzjqgIaqXMAITcOhcv3lSry71Cw3ePMwsFB1XiIdGgxOWkHf16WxakgXghhpNKp9SKTcszIJniw2Tihj3zX77EhDGgzdLw4LHpXDPY6EO8Cbi0FyjX4hHHGnk/AQwQKc4zhZewoFhPVHdNssFkoWpUoR5Hq37iYgeRbzKr1nKrMeh1EFKNLdpb8ZghSLBZW+UxUPUpCEINEBOCWtGuhUExVRDm9LEAi1R0P3dpnuBnZ/UiDMRp7I+hUSYeIlQENSlHkXEXQ6tSOdmq0a0s3Lurh0yQj5iyxMReFBJLFfpML1A6G6vyz5KZ37sIL2AaKuHeWQApA2KsMVichGRGwiaM4CEEO4oCDXuvX92aAD5L2cGg3u/k0RibnoM7ZwlMMm2JDxCueof1cyLy9KpuQBwFv6dXd5sTyD9Vi4u97m1C9ByFiZmQMFg2KA6GlZKs+5cMZXeQAqpDfEaYg2KIEGYqTkiYwsI6ju51VghGOpnqrx0F7SRQq4HJ3XXqx72In41Y5oPtJRhYolAMUNz634bXRC+X9M+GTDBMibdfsDi/IYYC598uxE7ZuvTF38gYaxHdr62p1vVH4RWqRI0W7GF6vGae1nTvy16qVHPtiWZa86k6c0Jt9w9/Txk80yAN/lP3e+f9eCtafCbV/gnPsn3z/98qyJT7+1+GUUIFh2+sDx4nBDksxZ/cA0/ZLJT68frpcBMH5H3pE9oR5tCiKQs/HRZzL+XPPal/85Pfijc4EGN9jYkKd0/T8DmIa9uat6P7Jz9eg7JxwJiMUr5oi1LRHZiClKSIcIoVcgHF3z4xksxaLKBuwCQJUJGb1HT57YKgEH3lPwx45FQ97ZcJoCEA2K/+Sye15EFj03dfsoNQBdkv377PHzN5ZwgElkKI0GUOcXjZ+ifH36jM/XvAm+Mz8vu3vWpvIzFhIbFGGI8aS574sLnkxXIwC+vEM/THl08Q/1v8cZOcKJLXhp/2/WIUMdew9YmchrxRwhaUjzoRhi7o3Yu1f4ciMKhFP0CiKl0Wwd59HApqQyv91wZ5laDmy+2rHU6Al7Xo5Hg1uSS21OQz+nqQ8PgLAFKseRysmGEA0eDWxMsrochn62xDsAAGGLCdIdzhYjcy83o6Oc+nE+FAPgEM6mCIatVRO0zLM6UfZSqekJD/W+jqalNijoXoTZYy7T2w2DbYlDAPga/UJ4BGUF+MY/AAAgAElEQVSVd5Tp1AAAvFPu/zbRkdcQW+VAyW0JPrND94gVaDy4Q+GrfsEyQv6Q4Emya8dYtQwW/EnhO4UBjzI5Cqar2/yMGwBh89T2JQZvVZQlyAYAAPgSjeuU23ydzP17uOlupP0KhXACCE1DmmwoufNjE9zvMjzrRQF4tzzwXaI97CempQ0iMYYIsz+x2OvS3+ozPOpGAMCPB3+T14hyKAFIG5UiReKyAQgtNnE0cwGIUg8TFJ4l7rBp1cCXEe7lJldBw4d5KIhEOXyCDRUvcUf925I5gzI2RHVPaTIAZ5cHfzeX/apiws5gmk+/hIGkuSxTvRXjs781uT/Q21OLf8V5EPGGGA2xBqXQ4OW3W5N6cWyJnPzDVLxLTdXcFi/1IgW03PMToX0oyPymoepvSYsAyI2qNlLqxRFHHHHEEUeTQR1InGvFd6YU/yxrzKWaK4RGzNGU/WputuSkaW6JYm9K0Y8N49OUtuKoCRHPX61iazJgtG5Gkb7UUriciG6lvvmnyubPUBqu1n5JQ/P3RgMYIq0cKc+RnvlJnrIolg8+ezCt/B+x+A56HHHEEUcccTQm0Gu9hEzminKn3NVKI+Zoyn41D1s83sOp1crIEhTt4FapMN/phvJpSltx1ISIoq5WsTV/NP9U2fwZSsPV2i9paP7ekMKQoOVJPKIhtaO88IfFZ5O4hyK+BBBHHHHEEUfzBsIRvYJIiT4QzVL3VUsj5mjKfjUTWwiP6lhigFer5cEv828zO6P6DPU/ayuOmhDz/FUqtuaP5p8qmz9Dabgq+yWjjDOLtfoQJeSa9JKjwudjY+sNyTREIIkh2sKdONGHcRj5R0LptnAvdBQxHj8IEEccccQRRxxxxBFHHHHEEUfzAsJjSTQW6sNRXJmckfrmpCuVRoMRPwgQRxxxxBFHHHHEEUccccQRR3MFj7DF8kb/aN+VQiN2iNVn0JsUqLHb6LdnjulEAACghm6TZr48qb0iVq1jlsFL1ny+oLsyVg3GEUccccTRSEA4xQCHcQDdvHY9qkjtcIc2lQdoBIYoqxpVahlBNq8u/1NAOEV/h7F/MxNAHM0ccdlc0aiZYJvS1tWazK/WfsUhiityCQAz93hg8pieKTgAAJ7Qbfxjw/tbYrafAdNkDOjVOUN1RbomjjjiiONqB9rGlr7ksqH8ngxlFX08mrZs099q1KJRG4iG1NziJfSNwxDh8LZBhYlvpC6L9KtxbRm9yUsutVxyqeWSS+ljg/V7h3W2pS0qsPRlahWhrKKvR9MuvHtD9wvhlA9dbjm/VGuJZX+b0tbVg3ACiAQi6q2bN0RlE1psDaTxbxVAzFNKrQQLAI0Ur/q2rtZkfqX1Sxqa8tImDU3MsOY8F1Xf+PiHRWe3TM+oNZ3GTD1e/mRr0blMX/bO39+4t4MSiaAI1XUe/fnWX93nMn1ZO357c0RHVW0dYLob7np6+doteSePFCztqWmk3v0LgRl7j53z8+/7vOcyfX/v2L3gwa7a6hiLhDL2RBpiC9X1ef5L97nMnXfqq6opb5iRcy7TV/V3cObNyrBFgjrEkkfuPZd55D+tZAAA6v7v7PYdmz9A1YAOEy1HvbTk4B+HfOcyfSd+/OXNkZ3VldzFgoJo2t69eP0PZecyfef2Hf9i2ogW8gYxlEij/AehRmVDGgwNRN1m2KK124vPZfrOHS3Zs2HDhBsNDVtwkya2xhoOodQrTEKaD0WbjK03GsIwpKIa3mVOfnMAtal8pf/s3UUzoRFzNGW/attyq8oWpBS9l+hxhPwxjyTQGMrJkqL7NlloW1VAODyFAYKWqSW1+s/bigYKWn1/Seo7l1ouuZT+31JDF4nzpcZCGAFEAhH1RiXsK0hszR9NkFIaJ15XPGr3S+s3z8qvWGKbXWwe4sdDHWu/coGmeyxvX0oZLJTWoo5yuAajqUVQ2oeL0xZdarkkP22qXZMScpJfmyHKqscXtqhaFX2l1NiDRmOq0IrJvszS9a7np02c1MsMkFf7By2f+eSjWa0PvvX8kr91A2bNnPsjXtL1lYNOXqwIs9zxxboZfY5/9viYfWWpA2e9PnuHytbl+T02DgAAUXV4btmHszJOrdmw+rmPLuQXnvfHskv/asgzRiyc2PHcmnfG/O1Qdxz+xrSXt1JnO83K9IFoKGOOhthCVN2eWbZ1rKXOgRtMqVPxZ2Y+MnuniwcAnnbmBsMUiehQZmqdCJB+d78WKy7mytuP6acDZWpLDQp+aRcQAIbFCev291+eXUgn3jhi7uRZm32nb3wrOyAaFETXc/H6ecNOf/bU6F35mi4T5s5Yt9z/f3d/mk1JZSiJBoiMSqkNCkJ5wxurXx/v3vbqxNcO2/G062/qFnQGpHodQKrYGmk4CKhXCBJ9KIJYe0MyQyFFNbzLBKXuxDF71QwTcZXGQDOhEXM0Zb/q2GJRpggFDFg65K8RZq/l8nmWL5L0eWehfnG458NU0ojQxbG7t2pKW5ED4Yj7S0yd5a51SQEHpxjgMI6z8guSXUXNZtoTRgARQES90Qn7yhFb80dTpJTGideVjjr9wjncxFPbLI5LPJ7h1w0pS2lnLP5YS0sebs0GiJZU3+rSDwhiAIK9iSbKETUYeS2UVY8tMV6rcK1JCvgY1VB7wnMc+6Y5UOe2py5DHjWzyEVj6WYFJ2PlXdzGh4pxJtV6FIuYURiULwEQbafOn9j7xNoxM7p9vqBlzXLl9WOm3ejfNP7Vt/a4eTiQpbzh+PNP3bXor/WlnHARWPqNGaI6Ne2VT7cWcgBZT6h6nH5t3NC3960r5QDR9H158UvIx72HbD5HRk4U1V5/37uvPz3mBhMWKMoqMwPk1yhVDFn0g9Ogk3GurJ2rpv53zQFX+ZQCb3X/wu9nDshQowC+8we2znl12deFFABgloHvvDfpns6tU9QocK6snaufn7V6r6PeRARPum/BujWDzkweOX1FHiXSIABq6T129rhbb+lyTQujEgdgin8ec/fLPzTKDFsQVM6qgX1X0TQHALDnONmz/7qbuqTgmTmMWChjTqMBttCk22ZtGh+YO+7d4f97q9YmFZWRCBQczzr7d725gkARKqJDmaml+uKuw+Y7bk/+co1laD/vvoNIq3YmHEopiX1mCr+c92bFvw+cVd16y5IbM7RIdoAXDco1g241Fq2Yv+LrbArg1AsLBo9a2ruz9rNsGy+RoSQaYqNSWoPCkCV3G2AJfPfSwmX7fQAAhw9uicLLISBNbI0zHATVKwRpPhRB2H7hKXeu2vz6UMf6e8Ys3u/hw9aSyFBYUQ3uMtrSq1TinsxaH9FFri9LfY9DMeCKVO5NCe7cSu/LGNUQu6FvEFcg7EWV+2uj5wIKAEiaK3G8m0jgeRvhz+OJriTqVrpWmtz5KAAAxhKDHIYBfrkGeKfC92OC4y8Zz4ejQVCakXb9TRSGIkwRhgHU7JIQQyTBa57oVJo4AODKCN/2BGf594FRVjnSZuhMyfQcAHBFKveWBHdOfVXxWFd78mMBamNy2QGcF2kQALRB3Z0eVTtSZuQQFIDD/CtSyrJqtVm3XzLK8GqxOjvp8iYFD4BY3MmvuphP06ynUAAAFam9z6HrQmE4AIsyuTrrZ7qKG0oJtkRg9CbPsZfvkOKOWgrXEHWqINc4k+bRMh3PlxGer02uLKzOD0LY0nuTX6toEwDYPcmXt8p5ALRLado42vteqiO/fJ7GKZ8oTEzXFr9toC2isoneFgjHS4QGRYtGWQgyWtWBY/Yb3MflPAC1lVd2KyNSOVdRuBtKgUEEIBZlMYYIj3d0G27zKVsxCADvk/k3W2yZ4WhIG5WiRaFlIyK2yEZlMxWAOISCgrLKkWXGrhSu5gEQJlft/trgzY9i51Ydb0jPvUIJVjQ5ROKof0syL3dRsZzMQckcZSAHTZ7iNHZRlR7Grqx+1W9fNsiuv0buWWlSPGwTOhVe3xvCNCJqMAoa2qDmep7anOA6hgMoqDKemGPXdWQDf9VKeiHjxftxKl/OAVAXZWj7y4ZeJJqp4nS+pLk27KeUoh0yHgBQRjP9cgJjKnxfzUaTBcrdGsz+75Db+7245rfiOrMLLLlb9xTm7y2nk1/99o9Ln9zOHdh9AWt/+7WEaBGqMqqA85Z4y286ubKsE0Voyx5pcgBAE2/576hk3jL6+z8P+07tOb5q+n0t5RAOmOW2FRtefVC2a8akyQ/N+zqLrnutyP1h6WNPTnxwzk/0oCmb5/YyVKywsrbMb+ZOf3bwfWOHPPfFmQ6Prv1gZGsMAADTXDuw5zX2L2ffN27SI6/v5AZP3vRGf1MdkcnTRy9cvWrAmRdGv7gyjxJvEECWdsvocX2xHUtfG/P4U0Mee+6xN/931NOgjCwJXMW9NQBgxoxEzHchz8aCaLxiDum2ZOnDV7x1447pMz7LIetc2nXJBjwY0FhMmrrBFyoS0SGqNifIXYeX/2V+oF+LzsN6uLftOEWp03SxeKMErms/6KEn25H7t59wVPRBKChAleUU8ClDb2+rQQBQXZe+rZGLh7K9fAwYRkMjolEZTYMiYOznsrzKfg/eci0Rk+cg0sTWKMNBWL0ikOJDYYTvF9Gy72ALSrTv1ycRj6yWFIaiimpYlzl5ryBapvZba8unTOVcnVi6IsHHBgxP2ZXlJ2YQTjmqxDyIJX8wl36e4KMCxsmluiQeABAdpTDKnB8n2S9R6i7gWZ7osgUNo/w4CoBwihElltsY8ofEkqWJjpO8ekypsQ0XhgbKqh4pTegOgW/M1pVGXxFSV94hGQLwPoX3O1Pp+8nFy8zuYkr7eJnGVEFe1i4o82tsn1msXxj9nN/wlF1Zd/8wj99kTx4boLcmlf1Rcd8g2CAAYghoewUgW29bYSldZrGuNnrq3soLuDc0eMW9VmNH1LveUrIoqWRFgvuwgq2MZIxtuVRlb6cUvZPosQv8AEGDv5isn5vcpbTuqVJ9ep0RGMqWR1X2dkrR/JSid80+b42f5qkpjlV2rNzGqaBUbXj2bxVNi8pGki0QjpcIDZFaYmAw2gl4x4BMAQCApgVlgJPF4eZywoMIRKMszJDHe5QlP+lS+FTOdYmlnyTatmkDYaeU0kZl2KKQshERW0SjsrkKQAzCQUE4WTsSd2rLPrGUfmEIynwJU63axMjvbet6Q2LuFUmwoskhAkf9S5M5d0nrLeEVPcjqveVXRr/qA6G2pRS+Z3KfqbvyK+4NYRqRNBgFDUTGogCcu7IjXjnpArx1nfMF4S6IPHBM5azdo/AXAt6JxMr/k6CVyUCfVHBRzjkrbwJ5PmRFPCFdD66TVk6fkUaY8GSFq8AG6jSTHAFWuMhfdOhQETpq+qPdDn6aaUV1ra8xKQBX4ggAqNsPvgl37Pzu84/35Xm1nZ98beaa1Xze0MVHg6HsV9Joddf4u1QnJz/z1orLHMDBbPPQB56r+QPy7C8/frvXB3CkqO2gPfcO6Uzs3xsAAN57fs/m8wAAcCL7kuX2O1/p20H11QVPRa0LB3b9tM8H+w5fbN1/731DOhG7dleeSUB1Had+/u68lrvHj3h9Y37Vyoh4gwCurI2bd/zZHL4Oiai7P/3GzJYn5k78w8GDaCj9sV6okGoLT3984bSMbVMe2uNktXXLtLpACX7bhp+HIRA48+vql2Yt/8XKihYxwjrEDCk6jLYd+N/RV54fM1Hn2/TcxcT71Bn6Bi4B4NeMW3fy1fYA4Ph13sP/y6+7f6huUIAp3PbM672+n70uq8/OHY4O93XJmvbw8r9JaBjDqGmEG5VRNygC3nVgylMfrnz/jRP7Ht6yfsOH637+0yp15wWAVLE1wnAQU28EiMaHIiTC9st79INxC6093Ts/u0BHXitahhHleUldJijNdRyzW1VnLx9fqvKfIDgA0kWrpvtUqXwgBwGjT9+Dpb5Osu/GeYBgLobNLNUNpjwbFAAADEZfVJBKGVyPUblK2igzDKUwHBi139ibC6xKdpxAAYC8IEPbXtb3oZznCE6YBpLg13fiyI1m+wEcAILFnKqbKzxDACBlgczyE5lyys6qOjmVSZzHVjmPshGBbIIDImhnlM/71Kl84Fzl/QHCyQdZzcOYwLpk+5Eazw1EGwTAqCMa/wWBmwwB94YGwmMGDnzy4FmC9AEA1NvXFztbHMqUoIABK/Bj/rzOtYfgAAI5ODazRDOIdK8Ri1d1mwAg47maa1BewpsHpq4BfKeMZgFt5VOqMO8hGQ+AgLBsKEm2QDhewjTEapVDzqHllwoe+CBacXvH4d4NRmKiI3lW0J+NyruS1OYk1+Ua0QlZS3gQVUpOIMpCDBWk/t4AcspUtFzNRr7nyiBlVEK4otCyCSs2kVEpZKuJBSCCkFEOFxTeQQRPExwQwRwcnWnV30p5v1RElLVDeiP63MuLJFjxeIV11L82mbMobUeQBAZDgbuC+hUSYbUY0hsiNKTdhQnU4t1E0AWawR7FBR3pAdREYzggdV7EIB4vOavo7tKnA7lJzvEAPBY4LDfe61NoNYwLkKSAAsd8Z6NasACoXgIIA9/hCbfeOYcuKVbfE0mR/+THjy5utX7aitwpAADAAkD+JTcLgGpTLErI2/Tljj1OADg7Y0734auHPtTuo6MnRE4FKFp3T4fCDX+Whb1e0EVnrKBLNsgAAgCAp/R7fMHUkYM7JOk4jzWoB9xLhEiRdNFpK2jM+uqAKIa+++lQev9Tt8/ZWFzTaIQN/tNAdb0nLds2Qf3F0+M/zK09vxIJZcwRnS00ZchLr2XseuzZY+4QMqZOfTq+7acAmLZNr5Fvvjv125VM95ErTtNiRcI6xHQWNcaQ9uPfHGjx2UPWJfPyg4+wqFZPoOBuwEZwJn/rCz2PpbbtOuT56bN3f0D3nPhdftXVPmRQUFV6Rpqi4Ndl35029mmLJPQcO6LzlvcO2bmGMIyWRthRGX2/xMDZDy8f3n9Tx4H3PD1+2m8TJn07e8KTX+Y29IUg0oQds+Egrt6wtaP1YTiI9Isu/unzxT9FWys6hhHkeYldRjO8BCG2dZx3yVjgMCUPgKBmUga4J6fyuhiQBy6DugWJYYrqMVTVEFs+wwMkMYijnPyJglpn4kgWQap/XJ8GYiJxwD0Xwh/Sq8kQABB9UDvcqWlP40rgPAgKPBnqFU28u1YtAEA62iwdIbg+1XakltEIGwyJsO6tzQkNfGsMPONIesNHHlX79mt9eVjohwkNtxU5SFmgCDSpFIoRVXOt6GxxWHA/wY/1KU1a2soregfQUq3vcu370XqyqUK0/RKMlygN0ShzxNhCS6dy+zLnW8nuytdfoUYGx3D/bhWlCsoQjujpUxwzBH1itUQGESO6d0eIIWIk5SogDyqjmP9LHZVVCB+UULIJi/qjMiJbtdEIAhBB6ChHERSfwl8AqpbhBVAOMW9ElXsjTrB1ENZR8WR+ZfVLGkJ6o+loUHLXKr1snCtpXvVaEmOvfWpDIF7Iddb0JeX/xIK/JdoOlk/bEea4hrrXrmnP+v5C8Q5B1Kv0l0S9szbMEgBjL3CBPsUs5ylnUSGAIj3dBL7DNooXKwLg3H98NOHa5fq0ZB3qD7Se+tWPQ//eW0ABIAzFAmiSNBg4WQCgrJfKYFALPR7iAUIN8DwPgEbyJkSWYQFBMQQAQJ7x8JaVEy0/fzBh/sG8gOKaYfPWjw9di+M4AKRGOLiTW39ER961aMEj2RPWHvNVhCTyBv9JoIZbZnz+7Vhu2RPjZh9wVuZo0XjFGJJsocaBj/XTm+Gbw8Oq/+f7u/IHPtnhxSPVG+dYT86+NRPm9rpj6V3D0lefzquxXla/SFCHarVJxVMM68ucMfqhpeTFXCopyCAqvQIDaMhZcNpVcDKz4GTm4X3W9HOLxt3f4qfFFxgAoaAg+r4vrXqEfeu2l5deZGD1mvdHLDmycM6U7SPnnMYawjBKGnzYURllgxGAdWX9snbyr1tWTVq1d+6cX3aPW3lZmuOlCTvWwyFC9YauK9WHIdA43oiaYThFSe0ywil6BVCrTmzrOI9A7WQejivC11YeAoAA5l2Z6Kn53mAKqz5iF5IGX1k5AovVDDFa+1SpQatyfmUM2hDE7DeNc4vUqtV+odqHetX323RFZndBZYcjb7A+hNzLAyJwp8Bf1lrnqRQ3+NQ9vMbJbkO2sWSVlo5kRSeSUEpFzWmhNFvsGW2QtGq6M569tLYjR21X03VUWk82Em2JxkuQRpgoo9T3ltI95WdaUcZZyUQZMD7q4Xek2nbhPGg9v/vMr9gSBqqKvis/lC5QSxpEGJYrOcpMK3FUhi2q+SskalYhRmWzEIAIBKIcTVB4PrJEB+G8EU3uRSNPsDUR1lH/tmReExgnM/Lgwlmu3gfim22/pCGkN5qWBpenL52jQ/UsiiC82ZU80U+er/HQXiReF4wlGwmOQlk7xtUcLy6l5zxi6hPAMwmiM8OdUkV05a2NMDdKbPHRI0V4x/tu0CEAAHiLfv1bs2d+Ph8ULaoAT7kKLhU6WzzwzgOm81+t/csHALwnN6sYWt3RWV9+yEjd6rpUKD1ZIv7GxWDuwQuQ3u/WtOgWaIiMXp0g54OFa789dOrE38f3ZQmdIqwP+tJP8weNfOdgx2m/LH/8xsovyTWgwSYD3mrUgk2PYx+P/8+sWvfW4eMVO0iyxTm/nz7q5mEPVPyNWXQM4OTC8be+l13/+TBa+ZKS+s3ULwqlQ0xrUHAkywNjzz11otDP8RzJIoQuZls6eI7nAcErVq2EgoIltmujCxRk2coXMpjizMP5YGprksWKYWQ0ohiVkTUYOT//qd1HitHUjmbJa68RiA1PuuPJqXMe7FTj04OxHg6RqDcEDYiBD2uhMbwRjmGIBsUVJb3LSlLTgWcOqyJ5+gQAXJmCBoZoU/mtYyWlTAUuv/q8OgBwJyz5r5iDZM1aBA2sIhVhimV01V/NBftQNLgyggZG2SHKr6zJGCIV6F0GzwkFVSgnz8si9wfvUDmWJDtyKcMUq67q6HsDGgztXhZl/IAmMYIr8AxGHtXZP0ktXKblr3ca20W2lCcWSgRYQJShPijNIzwDiFr0W9MqSplWO8pRygYAwEe4j2B4L4/qZjfBK91H6y6B1JeNRFvi8RKiES7KXJEieJYIniWC5+RVJxQQDS1TIkxRxWSKdytIO2AWDhGtFckgiqpfvFNO+UHRM4gJXstCCEDaqAxfVIX6solEbPXRPATw/+ydd3wURf/Hv9vu9vpd7nIphBKlKSAC/hCQomABRAUUBTuij0oHfUR9qFZQBFTsoICAzwOCCooiFqQrJQISWiBAElKu97utvz+SQMrd7t3mEg/c94s/gLmZ+cz3+53ZndnZHQGiejkOp1SjpFXZwJ1XxLVXQtAaCY294gNsVH+JGuofNZjXBmnm12Yi4b1iL5CnVLukEdUaTS+DRzg3zoQY7TA/Ztde/KhqLIWVmUI4fZ6g7bXn/wDAYaGfVVxLn6Z1SJOJhn5XSHiKVjWgICpryytMhLaFngAy64o2HQl/aWGRg4ZQ/heL/hwxb/4rJ15e+5eu7/Rn2lR8PfY7GwcglASoqnnbNle2uLLHjUOeGtFVufOtWxYfq7wVDh378uMTI2fOmTkxtHQ73WHSnL74/rmrRDaCskXfvb9y/OKXV7ypWfj17nJoc7Wx9okA0YkUHSiAp58cP+LUmsOlEaL5VUYAR9ym4f1HV48aya1ZN+27t+y9Jmw8yzSwwCZB02X6s91Dm/6zzmm9up0VAABox7mzpSFeyF/JRlJdrKeo4OIeGX1zHwBWcup4WYgHQLSdJj55nevw8XN+xNK237gp1xPH3/+uhAbBpJhxiCoMKpRx1NhBwLM0i6gNpOSzNvCMvlNGZJ/NP1seRi2tb3h6anfi2OKNxTSAgFOY87/vKX5u1PwX73l2VV65otVdkx5rH/lzfkEI0DRpCiXJ4AV6pbQCBRQSzQbPfbrV0e37j5QFUVOboeOHZQZ2/Frv8wLxIxps2m6Tlk0bpId+ob33vnGajjNXgghFr4AMaTYUIPnWEFMYvUCBcV56k9FcP6nAvfF/+Nql8fzhTR9qS0MMQQen7OvWqBTunxUiD7Fcavcuj3VguVVn8OcTLHB4Bkft0lLV6yjRZbjUnj886XdUWBRGfyEGVqrOR6Sjw+ARGxh6e7Q2bcSDICYaTWgfUkTh+zQDHi8zjbWz8y0BJ9KQAqO3i8PCBxRwpyvtNvCfxiCzRrsQjhzsJn1kuBjnOI5oR6GAsMG4bpuFXMmiVAWCXO3VXwcRnsX8Kv/x6lGPw6hiFOnmMVwPYYrFwqrA0aoHKUhamGwPnIpW3+TWkFVeFq8rJgi1TUv38pjvAHZnRkhkI0987YqKiL9iyJDkZd5Dht1u3XC3dr024uWJzh59JhL5iRDJGLsTSWxXROnZRKrvsWc+offuU9IBQDS1vRw1AKT1SrEkgbARCDYBUjkAhBBzCnKl19CXDbtA0dOt1eLeX5TxVJf4iB3by6IDbFR/iRnqnzWYVyZlUooQ4C2C+tv9WKHR9qfYXW8qtSsmBEtYOFAyKAaIgSayec6DM4HqF6CiWkNYhmCBEmQgJkqRzhC5YU0fvxIjXe8aqBrzXkkXKeAK9H5nmf4BNxLUuBI5pOMCVUsAymsmLP1lZFrlP8Z+uHosFM649d4FhQww5z58epzu1RcmL3xHyzj2rp8z+JXqI6YFkpRtp322bLTOefzQH8uee/CdDUecF1Y2qFMLxkxSvTx12icrXoXA8R8X3zFjbaFY5+LcOyfeM/X8jHFPvrbweRQgbD+262CZWK5IwfJ7pxgWTXxy1VADAcAEXYX7t4lsOKhNqGDNQ0/l/r5izhf/Ojbg/ZOhBhfY2CiyuvyfEcxDXt16cT+ye/nIwWP3h4T8lXSSXReqMmVec8fUMRMtBEDg/O9b3r593udHKZGkmHGIkAYlwkZj8v4AACAASURBVNE1D89gKRZVNWAXAKpKy+01cuK4lmk48L7i3ZsXDHxz9TEKQNApwcOL7/w3smDC5I0jNAB0ef6vM8fMXVPOASZRoTQZAr1SYoECCjE+Yun973mP52gQgEDh3k2THlq4qf55nPEjFmzhczt/sQ0c5Nq+y8bEnyvpRJUhzYZCJNsaogqjFxg7oiQ3GeGUPcNIRSJbx3k0tDbDHnQaB9s1CmCLNK53TT7R9+V4NLwus8LhNvZxm2/gARC2WO3aXz3ZiCWDR0NrMmwel7GPI/02AEDYMjLiFauLIbxLLOgIt2F0AMUAOIRzKMOiuWpCE77l6cRzFebHfNTbepqWWmBM8yLMNovd4DQOcKQPBOBrtAvhEZRV3WbXawAAeLci+E26q7AhdVWCRjakBSwu/YM2oPHwZmXg4geWkcimNF+GUzfKpmOw8A/KwFEMeJQpUDJdvJanvAAIW6hxLjL6L3hZQtgAAABfrvUc9VquIry/ik13421XNMQCILoMaWFDKdwfmOEej/FpPwrAexWhb9OdokdMS+tEQgoRZmd6md9juDlgfMiLAEAQD/+iqOHlaAEgrVcKJAmHDUD0YBMmxQNAULqIU3iWvM2h0wBvJ71LzJ7ihnfzaAh4WXyAjeYvYUP90wZzBmUciPrOikwAzqkI/2qx/6xmRGcwqdOu2CDNPNbJ/qr+2deW2RfojdllP+M8CFhDSIZQgVJk8IpbbRk9ObZcEdltLtuqoWqeYC71IgW0wvcDqbs/zPyipYTepY8t+Fp1ayn5ZGRkZGRkmgxNKH22Dd+SVfYj0ZhLNZeIjKTTlO1KtboUEfPscuX2rNLvG6anKeuSqYmA5S/XYGsyMFo/rdRQYS1ZQia2Up/6Q2XqK5TG5douaaS+NRqgEGnpypoQ8c3N8NkTWD74+L5mlX9JxjnoMjIyMjIyjQl6pZ8kCE+CO+UuVxlJpynblRp18Xh3t05HRMpRtL1XrcYCxxqqpynrkqmJQERdrsGW+qT+UJn6CqVxubZLGqlvDSkKSVqRwSPaiG6EH3ZbAw6JeyjkJQAZGRkZmdQG4cieYaTcEEpkqfuylZF0mrJdKVIXwqN6luzn1+l4CBLBDRZ3QsdQ/711ydREyPKXabClPqk/VKa+Qmlclu0iKNP0Mp0hSkpkRU75gdjvxybXGpJlCCBJIdrcmz4ugHFYZHdaxQaxDzoKVC6/CCAjIyMjIyMjIyMjIyOTWiA8lkFj0Q6O4uwKRuqXky5VGQ1GfhFARkZGRkZGRkZGRkZGJlXhEbZM0eiH9l0qMpJHso5Bb1JQU9eRr08f1ZEEAECNXcdPf358O2WySsesAxat+GReN1WyCpSRkZGRaSQQTtnPZepHp9auR3VEN9Sly+YBGkEhyqpHVFiHRVKryX8XCKfs6zL1TbEAkElx5LC5pKk5wDZlXZfrYH65tktGkEtyCQCzdL934qgeWTgAAJ7WdcwjQ/tak7afAdPm9uvZKVd9SZpGRkZG5nIHbe3IWXTeWHlPhrLKG3zaNmzT32rUklEbRBvR3ugnDY2jEOHwNmGlmW+kJgu0q3HrMvkzF51rsehci0Xnch4O128d1snRbEGxtTdTKwlllb192rbi5o3eLoRT3X++xdwKnTWZ7W3Kui4fxAIgHgSit+64IRg20YOtgTL+qQGQ9CGl1gALAI3kr/p1Xa6D+aXWLmk05aVNGk2ssOY8F9Vc++h7pSfWTc2tNZ3GzN2f/3B96cm8QP6WX1+5q70KiSMJ1Xca+cn6n70n8wJHNv/y6rAO6qok7fWvlZ7MC9T+s2Nkhth5qzLxgZl6PTzrx193+E/mBf7a/Nu8+7roLvpYwJXJF9KQulD9Dc984T2Zt2Ww4UI21TXTCmqGzZ7p16tEk2LGIZY5fPvJvP3/akkAAGj6vvlb4M+5/dQNaDDZYsRzi/bs3hs4mRc49P1Prw7vpKnWLuQURNvmjoWrNtlP5gVO7jj42ZRhzRUNUihRRuUP9Nfc/uSSz9cVHt5f/G4PbcMLjA6iaT1kwecby07mBU4eKN+2evXYa40NW3CTFmyN1R2iRW9sEdJsKFhksq2RIgVehFNcH0Id6kDF33t3kSIykk5Ttqt2XV61fV5W6VvpPlfUH/NIGo2hHJGR2Nlk0eu6AMLhWQyQNKGRVOrfX1ciKGnNPeXZb55rsehczn8qjJ0lzpcaC5EAiAeB6E0osC+hYEt9mmBIaRx/XfLUbpcuaJlRVLXENrPMMjCIR3ut/dIFzfFZXz+XNSDWsJawl8UKTCQXSekeKGu24FyLRUXNJju1WVEn+bUVoqxmTEnzC6uiL1SYutNoUiO0arJPWLvc/syUceN7WgAKa/+gxVMfvj+j1Z7Xnln0l77fjOmzv8fLu7ywx80LJWHW2z5bOe2Ggx8/OmqHPfumGS/P3Kx2dH5mm4OD4JH3b79vjbKqEYrce2Z/Mtz77UHP5fR2xd+IInfYG+M6nFzx5qi/XJoOQ1+Z8vx66kTHGXkBEHRl0mlIXYi661OL1z9srRMSmEqv5o9Pf3DmFg8PADztPh0WSRKIQ8LcKh0g544+zZeePa1oN6qPHlTZLbQoBKVdQAAYFidtG99+fmYJnX7tsNkTZ3wZOHbta/khQacg+h4LV7005NjHT4zcWqTtPHb2tJVLgv93x0f5lFSFkmQAAKJuP2HxezNyj65YvXzC+2eKSk4FG1ZgTFTXvLL85THeDS+Om7PPiTe7+rquYXdIqtUBpAZbI3WHGNEbC4k2FCDp1kiRAmtAUpqOHLNdwzDx5mgUUkRG0mnKdtWpi0WZUhQwYOmov0aY7dbzp1i+VNLxzrHaxeG+97IjJoQuS969VVPWFT8IR95Tbu6k8KzMCLk4ZT+XabSNn5fpKU2ZaY9IAMSBQPQmFtiXTrClPk0xpDSOvy516rQL53AzT22wus7xeG5QP9Ce1dZU9oGOltzdUgZEF9Hc7DH0C2MAMVuTiJfjKjD+XCirebjcdKXSsyIjFGDUg5xpEzj2VUuozp1eXYU8amGRs6aKL5UcwSo6e033l+FMtu1A0p6ZVy4BkG0mzx3X69Dno6Z1/WRei5rpqqtHTbk2uHbMi69t8/Kw64jqmoPPPHH7gj9WVXCxk8DaZ9RA9dEpL3y0voQDOPKYuvuxOaMHvb5jZQXH+YsPHCiuLJxodf9rQ9P3vTF24dFwPWV1QHVX3z3/5SdHXWPGQqVH7BaAohqpyoELNrmNeoLzHNmybPJ/VuzyVE4p8Jb3vPHd9H65GhQgcGrX+lkvLv6qhAIAzHrTm2+Nv7NTqywNCpznyJblz8xYvt1VbyKCZ9w9b+WK/scnDp+6tJASKBAAtfZ6eObom2/sfEVzkwoHYMp+HHXH85saZYYdE6pg2U29l9E0BwCw7WCkR9+V13XOwvMKGCFXJl1GA+pCM26ZsXZMaPbo+UP/91qtTSpqExkqPnjkxF/1pkcxklCBOCTMLTRnt+6z3HZr5hcrrIP6+HfsQVq2NeNQQUlsM1PyxUuvVv191wn1zTcuujZXh+SHeEGnXNH/ZlPp0rlLv8qnAI4+O2/AiHd7ddJ9nO/gJSqUJAMQbe/nFz6HfNBr4JcnI8koMDZEZtd+1tC3z72xeGcAAGDfnnUJWDkK0oKtcbpDzOiNhTQbCiDaLjxr8LIvXx7kWnXnqIU7fbxorqSbt8GWR1v4VSrcl1frEF3kanv2WxyKAVeq9q5N856utj7BqAc6jb3DuBJhz6q9X5l8Z1AAQJp50sd4yTSed5DBQp7sEkG9Ks+nZm8RCgCAsWR/l7FfUKEF3q0MfJ/m+oPgeTEZJKUd7jRcR2EowpRiGEBNL8ZSiKT5LePcKjMHAJydDGxMc1eeD4yyquEOYyeKMHAAwJWqvevSvAX1o4rHujgzHwlRazLtu3BeoEAA0IX1g33qthHCxCEoAIcFl2bZj9Qqs267CMr4YpkmP+P8WiUPgFi9mS96mI+a2Y6iAADqiO5ul74zheEALMqc1ts+1lfdUEqoSwCTP3OWs3KHFHfAWrKCrJMFucKd8RJN6HneTvq+MnuOYHV+EKUugz9zTlWZAMBuyzy/XsEDoJ0rmo2m/W9lu4oq52mc6rGS9Bxd2etG2ioYNonXBbH9JSCDogW9HAuCVrfnmJ1G70EFD0Ct51Vd7WQ25ykVu6GM0YkAhLwspBDh8Q5e4y0BVUsGAeADRPBLqyNPTIa0XimYFD1sBIItvl6ZogEgTCynoKxquN3UhcI1PADCnNZ4vzL6ixLYrFbHGtLH3lgDrODgEI+h/imDeaWJyhSRAjRSoAoVoJmT3KbO6op92KXVrvrlE/2dhisUvk/Nygccsd4Kr2+N2DLiKjABGbqw9mqe+jLN8ycOoKTsPDnLqe/Ahv6oNehF9RcfxKkiBQdAnSXQdueNPSNonprTBzJmO7Afsko3EzwAoIx26vk0xlzytoZNZBSoNGs4/z8Db+3z7xW/lNWZXWCZXbtlMX+tO5b54je7z314K7frtzNYu1uvJAWTULVJDZy/3F95S8fZjxwqRVt0b6aoXbX5jufHdS9ZPnHVmTqTjvpg1luWrn7xPmLrtPET73/pqyN03WvF6U3vPvL4uPtm/UD3n/Tl7J7GqhVW1pH39eypTw+4++GBEz473v6hz98Z3goDAMC0V97U4wrnFzPvHj3+wZe3cAMmrn2lr7lOkClyRr6xfFm/48+O/PenhZRwgQBEsxtHju6NbX53zqhHnxj4yIRHXv3fAV+DRmRJcFXTCQDATLnpWOBMoYMFQX8lHel1ETlDl7527eap0z4uiNS5tOszjXg4pLWatXWdHytJIA5RjSVN4dm35A/LvX2adxrS3bth81FK00yfjC9K4Pp2/e9/vG1k58ZDrqo2xHIKUPaCYj5r0K1ttAgAqu/cuxVydm++n0+CwkRkoOk3/mdEJm8d+d3v+wJHtx1cNvXuFoqGFCgA4zx5xK/qc9+NV5JJeQ4iLdgapTvEjl4BpNgwNuLtIlv0HmBFyXZ9bkjH48iVdPM22PKcomcYtWuCttrhY1e7l6dXLE0LsCHjE05V5RszCKcaUW7pz0Y2WSo+SQtQIdPECn0GDwCInlKaCPcHGc5zlKYz+Jakexxh44ggjgIgnHJYufUWJrIpvfzddNdhXjOqwtSaE5GBsuoHK9K6Qehri+1TU6AUqRveURUC8AGl/1tzxduZZYst3jJK96hda64ST7QNE0Gt42Or7TNTkAsan3Cq6u4f5vHrnJkPh+j1GfbdVfcNMQsEQIwhXc8Q5BscS60Vi6225SZf3Vv5GOaNDq+8y2bqgPpXWcsXZJQvTfPuU7LVwZvkujxq++tZpW+m+5wxfoCg4Z/Mtk/M3gpa/0SFIadOD4xWl09tfz2rdG5W6XxLwF/jp4UaimNVHaq3cSopdWue/UtN04JhI6kuiO0vARkCuYRgMNoNeIcQoQQAQJuFCcAjZWJzudidCAS9HFshj3e3Zz7uUQbU7pXpFR+mOzboQqJTSmm9UjQpatgIBFtcvTJVA0CI2E5BOKJtBHfr7B9aKz4zholA2mSbLj3+e9u61pA49goMsIKDQxyG+ocO5tw5nb+cV3aPXNxbfmm0qz4ItSGr5C2z93jdlV9ha8SWEU+BCchACBYF4LzVDfErIh7AW9V5v0DsgsgDx1TP2n3KYAngHSNY5T9JWpUJ9GEll+Ccs/omkOejZsTTcgzgOWzjDLnNSDOeqfQUO0DTzKxAgI2dFCzdu7cUHTH1oa57PsqzofpWV5iVgKvwWs1Strl31gDk+wlfHBbdAQB4y9vH3K4+PPGp15ae5wD25FsG3Tuh5g8iJ376/pvtAYD9pW36b7trYCdy5/YQAPD+U9u+PAUAAIfyz1lvHfxC7/bq/57xVeU6s2vrDzsCsGPf2VZ9t989sCO59beq3c+A6jtM/mT+Sy1+GzPs5TVFF1ZGhAsE8BxZ8+Xm31PhdEhE0+3JV6a3ODR73G4XD4KuDCZ7oUJqXXjOo29Myd0w6f5tblZXN02nD5Xjt6z+cQgCoeM/L39uxpKfbKxgEhM7DjFjlh6jHbv+d+CFZ0aN0wfWTjibfrcm19DAJQD8itErD7/YDgBcP7/0wP+K6u4fqusUYEo2PPVyz+9mrjxyw5bNrvZ3dz4y5YElf0WgYQoTlqFpN+A63LXl208+2FHo13V6fM70Fcv5wkELD4QlFigA79k16Yn3Pn37lUM7Hli3avV7K3/83SZ15wWA1GBrhO4gFL1xkIgNBUSItst/4J3Rb9h6eLd8fIaOI5fQOC/JvNIKvAhJaa/imN/Udfby8RXq4CGSA4h4aPXUgDqbDxUgYAoYurPUVxnO33AeIHwaw6ZX6AdQvtVKAAAGo88qIyoCrsao0yraRBgHURgOjCZo6sWFlmW6DqEAEDlDoG3OG26g3CdJLrYMJC1o6MhF1licu3AACJdx6q4ecYUAECFCeZVvZCooJ6vu6FZlcD5H9TzKQYbySQ7IsJNRPRPQZPOhk9UXUoRT9LdZhjChlZnO/TWeGwgWCIBR+7XBMzFuMmKYNzoIjxk5CCjCJ8hIAACg3mJ+8uriUKYcBQzYGD/mT+k920gOIFSAY9PLtf0j3hVC/rpYJgAQPFdz2c1P+gvB3CWEbyFoFtCWAZUa8+8leAAEYocNJakuiO2v2DKEclWi4NDKSwUPfBitur3jcP9qEznOlTkjHMxHFV0i1JcZnvM1vBM1V+xOVB1yMbwcS6EyYrgrhBw1ly7RsPHvuTJK6ZUglhQ9bESDTaBXxqqriQNAgKheFnMK7yLDx0gOyHABjk63GW6m/F8o47pQRbVG4mMvLzDACvtL1FD/2MGcRWkngqQxGArcJdSuqIjGYlRrCMiQdhcWIxfvJcMe0A7wKc/oIz5AzTSGA1LnQwzC/lKwym4eQw5E1io4HoDHQvsUprsCSp2W8QCSEVLiWOBEQgsWABeXAEQI7Bt78+BZdHmZ5s54koKHP3hoYctVU5aengQAACwAFJ3z1hz31P/3yIjW9u+e+s0RxzVA2apbDpSs/t0u+lu69LgN9JlGAiAEAHhWn0fnTR4+oH2GnvPZwgbA/WSUIZIuPWYDrcVw0SHKQfM/GkTvfOLWWWvKalYaZ4F/N6i+1/jFG8ZqPntyzHuna8+vBFyZdBKrC80a+Nyc3K2PPP2nN0oYU0c/GtPmIwBM17rn8FfnT/7mU6bb8KXHaKGk2HGI6a0ajIk4D369q/nH99sWvVQUfpBFdQYSBW8DNoIzReuf7fFndpsuA5+ZOvO3d+ge474tuhD1UZ2CqnNymymLf1787THTDW2QtB4PD+u07q29Tq4hChOVgeqyrCooXPvF5m1uADgxbVa3ocsH3d/2/QOHIhLbJQTn3LdkaN+1HW6688kxU34ZO/6bmWMf/+J0UDyjINICO2ndQTh6RXMnakMxBNpFl/3wycIfEs2VdPNKtDya6ydJoa3jvIdggcNUPACCWiIE4L6C6utiSBE6D5rmEQxTXuxDFwpiK2d4gKSHcZRTPFZc6524CIsgF39cXwZijuCA+86Iv6RXUyEAIIawbqhb247GVcD5EBT4SLRPNPHeWrkAAOngsHaA8Kpsx/5alcZZYFREzVtbExr6xhR6ypXxSiByQBPYqQsUYtEfJjS8rviJEKFS0GZTKEZemGslVheHhXeS/MMBlVlH23hlrxBaoQucr30/Wi9sLpBou2L6S1CGoJc58uESa8fK+gn3a5ne6s9foSYGx/Dgb2pKHSYQjuwRUP5pDAeEcgl0IkZwu1IshYgpolBDZI8qgfm/1F55AXGnRAsbUer3yrjqqk0jBIAA0b2cgFMCymAxqFuIB0AlQtZIaOyNe4Ctg6ih5MH80mqXNKJao+lkUArPMgMx2pPx0sW1JMZZ+62NGP5CrrLlLKr8Kxb+Jd2xp3LajjAHtdRdTm07NvAHircPo35VsDzhnbUiSwCMs9gDhiyLgqfcpSUAypwcMwT2OSheKAmA8+5+f+yVSwzNMvVoMNRq8n+/H/TX9uIat7bajmNuM5WsW58X3wNznucB0Hi+hMgyLCAohgAAKHIfWPfpOOuP74ydu6cwpLxiyEurxkTPxXEcAFLDHdzh9d+jw29fMO/B/LGf/xmockn8Bf6doMYbp33yzcPc4sdGz9zlrh6jBf2VZCTVhZpueqSPwQJf7xty8T/f3lp00+Pt/73/4sY51lewY8XY2T1ve/f2ITnLjxXWWC+rnxQzDjUas5qnGDaQN23k/e9Gzp6mMsIMojYoMYCGvAtOe4oP5xUfztu3w5ZzcsHoe5r/sPAMAxDLKYih93PLHmRfu+X5d88ysHzF28MW7X9j1qSNw2cdwxqiMEEZPEOxANoMLQZuFgAo2zk79G9uwC881kuwwDhgPUd++nziz+uWjV+2ffasn34b/el5aYaXFtjJ7g5xRm/0vFJtGIWkWyNFCqwC4ZQ9Q6hNL7R1nEeg9mAuAo/wtSMPAUAA83+a7qv53WAKu/iKXVQZfHXmOGq8qBCjdU9UGHVq939NYQeCWILm0V6BXLXKL9EEUL/mHoe+1OItrm5w/AXWJ5Z5eUBi3Cnw53W2l9TKawKa7n7TRK8x31S+TEfHs4gVjyulUnNaKK0u9rguHLFpuzG+7bSuA0dt1NB1Oma9sJFYl6C/YsoQ8TJKfWet2Fb5TivKuKuVqEKmh3z85mzHVpwHne/XgOUFR9pN6tJvK19Kj5FLGgIKKyM5wZFWYq8UTar5KyRhVVF6ZUoEgAAxvJyIU3g+voEOxKyRyNiLxj/A1kTUUP+0wbwmGEeYePDgLFfvgPiUbZc0olqjaWVwhYaKWXrUwKIIwls8meOCkVM1HtoL+OuMqXwNyVEo68S4mv3Fo/KdQsw3hPA8kuzEcEfVcV15ayNyo8SWHdhfine4+xo9AgCAN+/TtxV7/MdTYcGkKnjKU3yuxN383jfvNZ/67+d/1PhUm6b9oAF6+6ZNheIvAQAAhE/vOQM5fW5ultgCDZnbsyMUvPPG59/sPXror4M7jsR6i7A+9Lkf5vYf/uaeDlN+WvLotdUnyTWgwCYDbzli3tpHsQ/G/GtGremEuL+Sh6S6OPd3U0dcP+Teqj+jFvwJcPiNMTe/lV//+TBa/ZGS+sXUT4oWh5jOqOQiLA+M8/TRQyVBjuciLELqk7alg+d4HhC8atUqllOw9Lat9aHiI47KhQymLG9fEZjbmIlkKYxPBu87faQMWt7WyVD56p+m5VXZUHG4PMp3UOMrMH59waO/7S9DsztYJK+9xhFseMZtj0+edV/HGkcPJrs7xBO9UWRAEmxYi6Rb4+8oMDaqiLY9z+xTx/P0CQA4u5IGhmxdfdaxilJlA1d08X11AOAOWYtesIQjNXORNLDKbIQpI+gLf2ou2EeTwdlJGhhV+wRPWSMYMhvorUbfISVVooicIuIPAd6ldi3KdJ2mjJNs+guvvjegwOjmZVEmCGgGE3MFnsEiB/TOD7NLFuv4q92mtvEt5Qm5EgEWEFW0A6V5hGcA0QieNa2mVM1qeznBsAEACJDe/Rje06e+3kvyKu+Buksg9cNGYl3C/oolQ8zLXKkyfIIMnyDDJxUX3lBAtDShQpjSqskU71VGnIBZOUQwVzydKKF28W4FFQRljzAW81oWJQCk9UrxpAvUD5t4gq0+qREAAkT1chxOqUZJq7KBO6+Ia6+EoDUSGnvFB9io/hI11D9qMK8N0syvzUTCe8VeIE+pdkkjqjWaXgaPcG6cCTHaYX7Mrr34UdVYCiszhXD6PEHba8//AYDDQj+ruJY+TeuQJhMN/a6Q8BStakBBVNaWV5gIbQs9AWTWFW06Ev7SwiIHDaH8Lxb9OWLe/FdOvLz2L13f6c+0qfh67Hc2DkAoCVBV87ZtrmxxZY8bhzw1oqty51u3LD5WYyJHNO/RxRzJ33w6zhtutui791eOX/zyijc1C7/eXQ5trjbWPhEgOpGiAwXw9JPjR5xac7g0QjS/ygjgiNs0vP/o6lEjuTXrpn33lr3XhI1nmQYW2CRoukx/tnto03/WOa1Xt7MCAADtOHe2NMQL+SvZSKqL9RQVXNwjo2/uA8BKTh0vC/EAiLbTxCevcx0+fs6PWNr2GzfleuL4+9+V0CCYFDMOUYVBhTKOGjsIeJZmEbWBlHzWBp7Rd8qI7LP5Z8vDqKX1DU9P7U4cW7yxmAYQcApz/vc9xc+Nmv/iPc+uyitXtLpr0mPtI3/OLwgBmiZNoSQZfOjYlx+fGDlzzsyJoaXb6Q6T5vTF989ddZqSXKCAQqLZ4LlPtzq6ff+RsiBqajN0/LDMwI5f631eIH5Eg03bbdKyaYP00C+09943TtNx5koQoegVkCHNhgIk3RpNX2Bs0Fw/qcC98X/42qXx/OFNH2pLQwxBB6fs69aoFO6fFSIPsVxq9y6PdWC5VWfw5xMscHgGR+3SUtWXq+gyXGrPH570OyosCqO/EAMrVecj0tFh8IgNDL09Wps24kEQE40mtA8povB9mgGPl5nG2tn5loATaUiB0dvFYeEDCrjTlXYb+E9jkFmjXQhHDnaTPjJcjHMcR7SjUEDYYFy3zUKuZFGqAkGu9uqvgwjPYn6V/3j1qMdhVDGKdPMYrocwxWJhVeBo1YMUJC1MtgdORatvcmvIKi+L1xUThNqmpXt5zHcAuzMjJLKRJ752RUXEXzFkSPIy7yHDbrduuFu7Xhvx8kRnjz4TifxEiGSM3Ykktiui9Gwi1ffYM5/Qe/cp6QAgmtpejhoA0nqlWJJA2AgEmwCpHABCiDkFudJr6MuGXaDo6dZqce8vysYZsWN7WXSAjeovMUP9swbzyqRMShECvEVQf7sfKzTa/hS7602ldsWEYAkLB0oGxQAx0EQ2z3lwJlD9AlRUawjLECxQggzERCnSGSI3rOnjV2Kk610DSmdo0gAAIABJREFUVeOhvaSLFHAFer+zTP+AGwlqXIkc0nGBqiUA5TUTlv4yMq3yH2M/XD0WCmfceu+CQgaYcx8+PU736guTF76jZRx7188Z/Er1Ac4CScq20z5bNlrnPH7oj2XPPfjOhiPOWisbihbXZELZD2fi/mwe59458Z6p52eMe/K1hc+jAGH7sV0Hy8S6ZKRg+b1TDIsmPrlqqIEAYIKuwv3boj3ajEmoYM1DT+X+vmLOF/86NuD9k6EGF9jYKLK6/J8RzENe3XpxP7J7+cjBY/eHhPyVdJJdF6oyZV5zx9QxEy0EQOD871vevn3e50cpkaSYcYiQBiXC0TUPz2ApFlU1YBcAqkrL7TVy4riWaTjwvuLdmxcMfHP1MQpA0CnBw4vv/DeyYMLkjSM0AHR5/q8zx8xdU84BJlGhNBlAnVowZpLq5anTPlnxKgSO/7j4jhlrK9+xkFiggEKMj1h6/3ve4zkaBCBQuHfTpIcWbqp/Hmf8iAVb+NzOX2wDB7m277Ix8edKOlFlSLOhEEm3RpMXGAuEU/YMIxWJbB3n0dDaDHvQaRxs1yiALdK43jX5RN+X49HwuswKh9vYx22+gQdA2GK1a3/1ZCOWDB4NrcmweVzGPo702wAAYcvIiFesLobwLrGgI9yG0QEUA+AQzqEMi+aqCU34lqcTz1WYH/NRb+tpWmqBMc2LMNssdoPTOMCRPhCAr9EuhEdQVnWbXa8BAODdiuA36a7ChtRVCRrZkBawuPQP2oDGw5uVgYsfWEYim9J8GU7dKJuOwcI/KANHMeBRpkDJdPFanvICIGyhxrnI6L/gZQlhAwAAfLnWc9RruYrw/io23Y23XdEQC4DoMqSFDaVwf2CGezzGp/0oAO9VhL5Nd4oeMS2tEwkpRJid6WV+j+HmgPEhLwIAQTz8i6KGl6MFgLReKZAkHDYA0YNNmBQPAEHpIk7hWfI2h04DvJ30LjF7ihvezaMh4GXxATaav4QN9U8bzBmUcSDqOysyATinIvyrxf6zmhGdwaROu2KDNPNYJ/ur+mdfW2ZfoDdml/2M8yBgDSEZQgVKkcErbrVl9OTYckVkt7lsq4aqeYK51IsU0ArfD6Tu/jDzi5YSPVkvquBr1a2l5JORkZGRkWkyNKH02TZ8S1bZj0RjLtVcIjKSTlO2K9XqUkTMs8uV27NKv2+YnqasS6YmApa/XIOtycBo/bRSQ4W1ZAmZ2Ep96g+Vqa9QGpdru6SR+tZogEKkpStrQsQ3N8NnT2D54OP7mlX+JRnnoMvIyMjIyDQm6JV+kiA8Ce6Uu1xlJJ2mbFdq1MXj3d06HREpR9H2XrUaCxxrqJ6mrEumJgIRdbkGW+qT+kNl6iuUxuXaLmmkvjWkKCRpRQaPaCO6EX7YbQ04JO6hkJcAZGRkZGRSG4Qje4aRckMokaXuy1ZG0mnKdqVIXQiP6lmyn1+n4yFIBDdY3AkdQ/331iVTEyHLX6bBlvqk/lCZ+gqlcVm2i6BM08t0higpkRU55Qdivx+bXGtIliGAJIVoc2/6uADGYZHdaRUbxD7oKFC5/CKAjIyMjIyMjIyMjIyMTGqB8FgGjUU7OIqzKxipX066VGU0GPlFABkZGRkZGRkZGRkZGZlUhUfYMkWjH9p3qchIHsk6Br1JQU1dR74+fVRHEgAANXYdP/358e2UySodsw5YtOKTed1UySpQRkZGRqaRQDhlP5epH51aux7VEd1Qly6bB2gEhSirHlFhHRZJrSb/XSCcsq/L1DfFAkAmxZHD5pKm5gDblHVdroP55douGUEuySUAzNL93omjemThAAB4Wtcxjwzta03afgZMm9uvZ6dc9SVpGhkZGZnLHbS1I2fReWPlPRnKKm/waduwTX+rUUtGbRBtRHujnzQ0jkKEw9uElWa+kZos0K7Grcvkz1x0rsWicy0Wnct5OFy/dVgnR7MFxdbeTK0klFX29mnbips3ersQTnX/+RZzK3TWZLa3Keu6fBALgHgQiN6644Zg2EQPtgbK+KcGQNKHlFoDLAA0kr/q13W5DuaXWruk0ZSXNmk0scKa81xUc+2j75WeWDc1t9Z0GjN3f/7D9aUn8wL5W3595a72KiSOJFTfaeQn63/2nswLHNn8y6vDOqgvJCHaNncsXLXJfjIvcHLHwc+mDGuuaMwW/sPATL0envXjrzv8J/MCf23+bd59XXQXfSzgyuQLaUhdqP6GZ77wnszbMthwIZvqmmkFJ/MCF/7smX69SjQpZhximcO3n8zb/6+WBACApu+bvwX+nNtP3YAGky1GPLdoz+69gZN5gUPf//Tq8E6aau1CTonZHSQqlCij8gf6a25/csnn6woP7y9+t4e24QVGB9G0HrLg841lJ/MCJw+Ub1u9euy1xoYtuEkLtsbqDtGiN7YIaTYULDLZ1kh2gQ2+BHCK60OoQx2o+HvvLlJERtJpynbVrsurts/LKn0r3eeK+mMeSaMxlCMyEjubLHpdF0A4PIsBkiY0kkr9++tKBCWtuac8+81zLRady/lPhbGzxPlSYyESAPEgEL0JBfYlFGypTxMMKY3jr0ue2u3SBS0ziqqW2GaWWQYG8WivtV+6oDk+6+vnsgbEGtYS9rJYgYnkIindA2XNFpxrsaio2WSnNivqJL+2QpTVjClpfmFV9IUKU3caTWqEVk32CWuX25+ZMm58TwtAYe0ftHjqw/dntNrz2jOL/tL3mzF99vd4eZcX9rh5oSTMettnK6fdcPDjR0ftsGffNOPlmZvVjs7PbHNwgOh7LFz10pBjHz8xcmuRtvPY2dNWLgn+3x0f5VPJbNY/FkXusDfGdTi54s1Rf7k0HYa+MuX59dSJjjPyAiDoyqTTkLoQddenFq9/2FrnhRtMpVfzx6c/OHOLhwcAnnafDoskCcQhYW6VDpBzR5/mS8+eVrQb1UcPquwWWhSC0i4gAAyLk7aNbz8/s4ROv3bY7Ikzvgwcu/a1/JCgUwS6g0SFkmQAAKJuP2HxezNyj65YvXzC+2eKSk4FG1ZgTFTXvLL85THeDS+Om7PPiTe7+rquYXdIqtUBpAZbI3WHGNEbC4k2FCDp1kh2gQ2/BJCUpiPHbNcwTLw5GoUUkZF0mrJddepiUaYUBQxYOuqvEWa79fwpli+VdLxzrHZxuO+97IgJocuSd2/VlHXFD8KR95SbOyk8KzNCLk7Zz2UabePnZXpKU2baIxIAcSAQvYkF9qUTbKlPUwwpjeOvS5067cI53MxTG6yuczyeG9QPtGe1NZV9oKMld7eUAdFFNDd7DP3CGEDM1iTi5bgKjD8XymoeLjddqfSsyAgFGPUgZ9oEjn3VEqpzp1dXIY9aWOSsqeJLJUewis5e0/1lOJNtO4DFrUiEyiUAss3kueN6Hfp81LSun8xrUTNddfWoKdcG14558bVtXh52HVFdc/CZJ25f8MeqCi52Elj7jBqoPjrlhY/Wl3AARx5Tdz82Z/Sg13esrOBUV/S/2VS6dO7Sr/IpgKPPzhsw4t1enXQf5zuE+y2qu/ru+S8/OeoaMxYqPWK3ABTVSFUOXLDJbdQTnOfIlmWT/7Nil6dySoG3vOeN76b3y9WgAIFTu9bPenHxVyUUAGDWm958a/ydnVplaVDgPEe2LH9mxvLtrnoTETzj7nkrV/Q/PnH41KWFlECBAKi118MzR998Y+crmptUOABT9uOoO57f1Cgz7JhQBctu6r2MpjkAgG0HIz36rryucxaeV8AIuTLpMhpQF5pxy4y1Y0KzR88f+r/Xam1SUZvIUPHBIyf+qjc9ipGECsQhYW6hObt1n+W2WzO/WGEd1Me/Yw/Ssq0Zhwqpa1FMyRcvvVr1910n1DffuOjaXB2SH+IFnRK7O0hUKEkGINrezy98Dvmg18AvT0aSUWBsiMyu/ayhb597Y/HOAADAvj3rErByFKQFW+N0h5jRGwtpNhRAtF141uBlX748yLXqzlELd/p40VxJN6/US8AF0BZ+lQr35dU6RBe52p79FodiwJWqvWvTvKerrU8w6oFOY+8wrkTYs2rvVybfGRQAkGae9DFeMo3nHWSwkCe7RFCvyvOp2VuEAgBgLNnfZewXVGiBdysD36e5/iB4XkwGSWmHOw3XURiKMKUYBlDTi7EUIml+yzi3yswBAGcnAxvT3JXnA6OsarjD2IkiDBwAcKVq77o0b0H9qOKxLs7MR0LUmkz7LpwXKBAAdGH9YJ+6bYQwcQgKwGHBpVn2I7XKrNsugjK+WKbJzzi/VskDIFZv5ose5qNmtqMoAIA6orvbpe9MYTgAizKn9baP9VU3lBLqEsDkz5zlrNwtwh2wlqwg62RBrnBnvEQTep63k76vzJ4jWJ0fRKnL4M+c47ywA4Xdlnl+vYIHQDtXNBtN+9/KdhVVztM41WMl6Tm6steNtFUwbBKvC2L7S0AGRQt6ORYErW7PMTuN3oMKHoBaz6u62slszlMqdkMZoxMBCHlZSCHC4x28xlsCqpYMAsAHiOCXVkeemAxpvVIwKXrYCARbfL0yRQNAmFhOQVnVcLupC4VreACEOa3xfmX0FyWwWa2ONaSPvbEGWMHBIR5D/VMG80oTlSkiBWikQBUqQDMnuU2d1RX7sEurXfXLJ/o7DVcofJ+alQ84Yr0VXt8asWXEVWACMnRh7dU89WWa508cQEnZeXKWU9+BDf1Ra9CL6i8+iFNFCg6AOkug7c4be0bQPDWnD2TMdmA/ZJVuJngAQBnt1PNpjLnkbQ2byChQadZw/n8G3trn3yt+Kaszu8Ayu3bLYv5adyzzxW92n/vwVm7Xb2ewdrdeSQomoWqTGjh/ub/yHpGzHzlUirbo3kwBAJS9oJjPGnRrGy0CgOo7926FnN2b7xfRjFlvWbr6xfuIrdPGT7z/pa+O0HWvFac3vfvI4+Pum/UD3X/Sl7N7GqtWWFlH3tezpz494O6HB0747Hj7hz5/Z3grDAAA0155U48rnF/MvHv0+Adf3sINmLj2lb7mOkGmyBn5xvJl/Y4/O/LfnxZSwgUCEM1uHDm6N7b53TmjHn1i4CMTHnn1fwd8DRqRJcFVTScAADPlpmOBM4UOFgT9lXSk10XkDF362rWbp077uCBS59KuzzTi4ZDWatbWdX6sJIE4RDWWNIVn35I/LPf2ad5pSHfvhs1HKU0zfTK+KIHr2/W///G2kZ0bD7mq2hDLKQLdocEKE5GBpt/4nxGZvHXkd7/vCxzddnDZ1Ltb1NubnUiBAjDOk0f8qj733XglmZTnINKCrVG6Q+zoFUCKDWMj3i6yRe8BVpRs1+eGdDyOXMk3r7RLwEU4Rc8watcEbbXDx652L0+vWJoWYEPGJ5yqyjdmEE41otzSn41sslR8khagQqaJFfoMHgAQPaU0Ee4PMpznKE1n8C1J9zjCxhFBHAVAOOWwcustTGRTevm76a7DvGZUhak1JyIDZdUPVqR1g9DXFtunpkApUje8oyoE4ANK/7fmirczyxZbvGWU7lG71lwlnmgbJoJax8dW22emIBc0PuFU1d0/zOPXOTMfDtHrM+y7q+4bYhYIgBhDup4hyDc4llorFltty02+urfyMcwbHV55l83UAfWvspYvyChfmubdp2SrgzfJdXnU9tezSt9M9zlj/ABBwz+ZbZ+YvRW0/okKQ06dgIpWl09tfz2rdG5W6XxLwF/jp4UaimNVHaq3cSopdWue/UtN04JhI6kuiO0vARkCuYRgMNoNeIcQoQQAQJuFCcAjZWJzudidCAS9HFshj3e3Zz7uUQbU7pXpFR+mOzboQqJTSmm9UjQpatgIBFtcvTJVA0CI2E5BOKJtBHfr7B9aKz4zholA2mSbLj3+e9u61pA49goMsIKDQxyG+ocO5tw5nb+cV3aPXNxbfmm0qz4ItSGr5C2z93jdlV9ha8SWEU+BCchACBYF4LzVDfErIh7AW9V5v0DsgsgDx1TP2n3KYAngHSNY5T9JWpUJ9GEll+Ccs/omkOejZsTTcgzgOWzjDLnNSDOeqfQUO0DTzKxAgI2dFCzdu7cUHTH1oa57PsqzofpWV5iVgKtwBACYkg1Pvdzzu5krj9ywZbOr/d2dj0x5YMlfkWiV15DR8vYxt6sPT3zqtaXnOYA9+ZZB906o+YPIiZ++/2Z7AGB/aZv+2+4a2IncuT0EALz/1LYvTwEAwKH8c9ZbB7/Qu736v2d8VbnO7Nr6w44A7Nh3tlXf7XcP7Ehu/a1q9zOg+g6TP5n/Uovfxgx7eU3RhZUR4QIBPEfWfLn591Q4HRLRdHvylektDs0et9vFg6Arg8leqJBaF57z6BtTcjdMun+bm9XVTdPpQ+X4Lat/HIJA6PjPy5+bseQnGyuYxMSOQ8yYpcdox67/HXjhmVHj9IG1E86m363JNTRwCQC/YvTKwy+2AwDXzy898L+iuvuH6jpFoDs0RGHCMjTtBlyHu7Z8+8kHOwr9uk6Pz5m+YjlfOGjhgbDEAgXgPbsmPfHep2+/cmjHA+tWrX5v5Y+/2xryFpC0YGuE7iAUvXGQiA0FRIi2y3/gndFv2Hp4t3x8ho4jl9A4L828ki4BFyEp7VUc85u6zl4+vkIdPERyABEPrZ4aUGfzoQIETAFDd5b6KsP5G84DhE9j2PQK/QDKt1oJAMBg9FllREXA1Rh1WkWbCOMgCsOB0QRNvbjQskzXIRQAImcItM15ww2U+yTJxZaBpAUNHbnIGotzFw4A4TJO3dUjrhAAIkQor/KNTAXlZNUd3aoMzueonkc5yFA+yQEZdjKqZwKabD50svr+AOEU/W2WIUxoZaZzf43nBoIFAmDUfm3wTIybjBjmjQ7CY0YOAorwCTISAACo58Xk1cWhTDkKGLAxfsyf0nu2kRxAqADHppdr+0e8K4T8dbFMACB4ruaym5/0F4K5SwjfQtAsoC0DKjXm30vwAAjEDhtKUl0Q21+xZQjlqkTBoZWXCh74MFp1e8fh/tUmcpwrc0Y4mI8qukSoLzM852t4J2qu2J2oOuRieDmWQmXEcFcIOWouXaJh499zZZTSK0EsKXrYiAabQK+MVVcTB4AAUb0s5hTeRYaPkRyQ4QIcnW4z3Ez5v1DGdaGKao3Ex15eYIAV9peoof6xgzmL0k4ESWMwFLhLqF1REY3FqNYQkCHtLixGLt5Lhj2gHeBTntFHfICaaQwHpM6HGIT9pWCV3TyGHIisVXA8AI+F9ilMdwWUOi3jASQjpMSxwImEFiwALi4BiBDYN/bmwbPo8jLNnfEkBQ9/8NDClqumLD09CQAAWAAoOuetfOCozsltpiz+efG3x0w3tEHSejw8rNO6t/Y6hS4FylbdcqBk9e920esFXXrcBvpMIwEQAgA8q8+j8yYPH9A+Q8/5bGED4H4yyhBJlx6zgdZiuOgQ5aD5Hw2idz5x66w1ZTUrjbPAvxtU32v84g1jNZ89Oea907XnVwKuTDqJ1YVmDXxuTu7WR57+0xsljKmjH41p8xEApmvdc/ir8yd/8ynTbfjSY7RQUuw4xPRWDcZEnAe/3tX84/tti14qCj/IojoDiYK3ARvBmaL1z/b4M7tNl4HPTJ352zt0j3HfFl242kd1Sszu0BCFicpAdVlWFRSu/WLzNjcAnJg2q9vQ5YPub/v+gUMRie0SgnPuWzK079oON9355Jgpv4wd/83MsY9/cToonlEQaYGdtO4gHL2iuRO1oRgC7aLLfvhk4Q+J5kqieaVcAi5mzvWTpNDWcd5DsMBhKh4AQS0RAnBfQfV1MaQInQdN8wiGKS9WdqEgtnKGB0h6GEc5xWPFtd6Ji7AIcvHH9WUg5ggOuO+M+Et6NRUCAGII64a6te1oXAWcD0GBj0T7RBPvrZULAJAODmsHCK/KduyvVWmcBUZF1Ly1NaGhb0yhp1wZrwQiBzSBnbpAIRb9YULD64qfCBEqBW02hWLkhblWYnVxWHgnyT8cUJl1tI1X9gqhFbrA+dr3o/XC5gKJtiumvwRlCHqZIx8usXasrJ9wv5bprf78FWpicAwP/qam1GEC4cgeAeWfxnBAKJdAJ2IEtyvFUoiYIgo1RPaoEpj/S+2VFxB3SrSwEaV+r4yrrto0QgAIEN3LCTgloAwWg7qFeABUImSNhMbeuAfYOogaSh7ML612SSOqNZpOBqXwLDMQoz0ZL11cS2Kctd/aiOEv5CpbzqLKv2LhX9Ideyqn7QhzUEvd5dS2YwN/oHj7MOpXBcsT3lkrsgTAOIs9YMiyKHjKXVoCoMzJMUNgn4PihZIAOO/u98deucTQLFOPBkOtJv/3+0F/bS+mABBD7+eWPci+dsvz755lYPmKt4ct2v/GrEkbh886JnTjy/M8ABrPlxBZhgUExRAAAEXuA+s+HWf98Z2xc/cUhpRXDHlp1ZjouTiOA0BquIM7vP57dPjtC+Y9mD/28z8DVS6Jv8C/E9R447RPvnmYW/zY6Jm73NVjtKC/koykulDTTY/0MVjg631DLv7n21uLbnq8/b/3X9w4x/oKdqwYO7vnbe/ePiRn+bHCGutl9ZNixqFGY1bzFMMG8qaNvP/dyNnTVEaYQdQGJQbQkHfBaU/x4bziw3n7dthyTi4YfU/zHxaeYQBiOUWgO2ANUZigDJ6hWABthhYDNwsAlO2cHfo3N+AXHuslWGAcsJ4jP30+8ed1y8Yv2z571k+/jf70vDTDSwvsZHeHOKM3el6pNoxC0q2R9AIlXgIqQThlzxBq0wttHecRqD2Yi8AjfO3IQwAQwPyfpvtqfjeYwi6+YhdVBl+dOY4aLyrEaN0TFUad2v1fU9iBIJagebRXIFet8ks0AdSvucehL7V4i6sbHH+B9YllXh6QGHcK/Hmd7SW18pqAprvfNNFrzDeVL9PR8SxixeNKqdScFkqriz2uC0ds2m6Mbzut68BRGzV0nY5ZL2wk1iXor5gyRLyMUt9ZK7ZVvtOKMu5qJaqQ6SEfvznbsRXnQef7NWB5wZF2k7r028qX0mPkkoaAwspITnCkldgrRZNq/gpJWFWUXpkSASBADC8n4hSej2+gAzFrJDL2ovEPsDURNdQ/bTCvCcYRJh48OMvVOyA+ZdsljajWaFoZXKGhYpYeNbAogvAWT+a4YORUjYf2Av46YypfQ3IUyjoxrmZ/8ah8pxDzDSE8jyQ7MdxRdVxX3tqI3CixZQf2l+Id7r5GjwAA4M379G3FHv/xVFgwqQqe8hSfK3E3v/fNe82n/vv5HwEAwNLbttaHio84KmduTFneviIwtzELr7yET+85Azl9bm6W2AINmduzIxS888bn3+w9euivgzuOxHqLsD70uR/m9h/+5p4OU35a8ui11SfJNaDAJgNvOWLe2kexD8b8a0at6YS4v5KHpLo493dTR1w/5N6qP6MW/Alw+I0xN7+VX//5MFr9kZL6xdRPihqHOqOSi7A8MM7TRw+VBDmei7AIqU/alg6e43lA8KpVq1hOEegOyVEYnwzed/pIGbS8rZOh8tU/TcursqHicHmU76DGV2D8+oJHf9tfhmZ3sEhee40j2PCM2x6fPOu+jjWOHkx2d4gneqPIgCTYsBZJt0bSC5R2CahCFdG255l96niePgEAZ1fSwJCtq886VlGqbOCKLr6vDgDcIWvRC5ZwpGYukgZWmY0wZQR94U/NBftoMjg7SQOjap/gKWsEQ2YDvdXoO6SkShSRU0T8IcC71K5Fma7TlHGSTX/h1fcGFBjdvCzKBAHNYGKuwDNY5IDe+WF2yWIdf7Xb1Da+pTwhVyLAAqKKdqA0j/AMIBrBs6bVlKpZbS8nGDYAAAHSux/De/rU13tJXuU9UHcJpH7YSKxL2F+xZIh5mStVhk+Q4RNk+KTiwhsKiJYmVAhTWjWZ4r3KiBMwK4cI5oqnEyXULt6toIKg7BHGYl7LogSAtF4pnnSB+mETT7DVJzUCQICoXo7DKdUoaVU2cOcVce2VELRGQmOv+AAb1V+ihvpHDea1QZr5tZlIeK/YC+Qp1S5pRLVG08vgEc6NMyFGO8yP2bUXP6oaS2FlphBOnydoe+35PwBwWOhnFdfSp2kd0mSiod8VEp6iVQ0oiMra8goToW2hJ4DMuqJNR8JfWljkoCGU/8WiP0fMm//KiZfX/qXrO/2ZNhVfj/3OxgEIJQGqat62zZUtruxx45CnRnRV7nzrlsXHggAAzPnf9xQ/N2r+i/c8uyqvXNHqrkmPtY/8Ob9A+O15tui791eOX/zyijc1C7/eXQ5trjbWPhEgOpGiAwXw9JPjR5xac7g0QjS/ygjgiNs0vP/o6lEjuTXrpn33lr3XhI1nmQYW2CRoukx/tnto03/WOa1Xt7MCAADtOHe2NMQL+SvZSKqL9RQVXNwjo2/uA8BKTh0vC/EAiLbTxCevcx0+fs6PWNr2GzfleuL4+9+V0CCYFDMOUYVBhTKOGjsIeJZmEbWBlHzWBp7Rd8qI7LP5Z8vDqKX1DU9P7U4cW7yxmAYQcErs7oCmSVMoSQYfOvblxydGzpwzc2Jo6Xa6w6Q5ffH9c1edpiQXKKCQaDZ47tOtjm7ff6QsiJraDB0/LDOw49d6nxeIH9Fg03abtGzaID30C+29943TdJy5EkQoegVkSLOhAEm3RrIL5CRdAipBc/2kAvfG/+Frl8bzhzd9qC0NMQQdnLKvW6NSuH9WiDzEcqnduzzWgeVWncGfT7DA4RkctUtLVS97RJfhUnv+8KTfUWFRGP2FGFipOh+Rjg6DR2xg6O3R2rQRD4KYaDShfUgRhe/TDHi8zDTWzs63BJxIQwqM3i4OCx9QwJ2utNvAfxqDzBrtQjhysJv0keFinOM4oh2FAsIG47ptFnIli1IVCHK1V38dRHgW86v8x6tHPQ6jilGkm8dwPYQpFgurAkerHqQgaWGyPXAqWn2TW0NWeVm8rpgg1DYt3ctjvgPYnRkhkY088bUrKiL+iiHoIXb9AAAgAElEQVRDkpd5Dxl2u3XD3dr12oiXJzp79JlI5CdCJGPsTiSxXRGlZxOpvsee+YTeu09JBwDR1PZy1ACQ1ivFkgTCRiDYBEjlABBCzCnIlV5DXzbsAkVPt1aLe39RxlNd4iN2bC+LDrBR/SVmqH/WYF6ZlEkpQoC3COpv92OFRtufYne9qdSumBAsYeFAyaAYIAaayOY5D84Eql+AimoNYRmCBUqQgZgoRTpD5IY1ffxKjHS9a6BqPLSXdJECrkDvd5bpH3AjQY0rkUM6LlC1BKC8ZsLSX0amVf5j7Ierx0LhjFvvXVDIAHPuw6fH6V59YfLCd7SMY+/6OYNfqT4RWiBJ2XbaZ8tG65zHD/2x7LkH39lwxFm9shE8vPjOfyMLJkzeOEIDQJfn/zpzzNw15SLu59w7J94z9fyMcU++tvB5FCBsP7brYJlYl4wULL93imHRxCdXDTUQAEzQVbh/W7RHmzEJFax56Knc31fM+eJfxwa8fzLU4AIbG0VWl/8zgnnIq1sv7kd2Lx85eOz+kJC/kk6y60JVpsxr7pg6ZqKFAAic/33L27fP+/woJZIUMw4R0qBEOLrm4RksxaKqBuwCQFVpub1GThzXMg0H3le8e/OCgW+urtzaLOCUmN0Bk6hQmgygTi0YM0n18tRpn6x4FQLHf1x8x4y1le9YSCxQQCHGRyy9/z3v8RwNAhAo3Ltp0kMLN9U/jzN+xIItfG7nL7aBg1zbd9mY+HMlnagypNlQiKRbI9kFSrsEQOVOuTBSkcjWcR4Nrc2wB53GwXaNAtgijetdk0/0fTkeDa/LrHC4jX3c5ht4AIQtVrv2V082Ysng0dCaDJvHZezjSL8NABC2jIx4xepiCO8SCzrCbRgdQDEADuEcyrBorprQhG95OvFchfkxH/W2nqalFhjTvAizzWI3OI0DHOkDAfga7UJ4BGVVt9n1GgAA3q0IfpPuKmxIXZWgkQ1pAYtL/6ANaDy8WRm4+IFlJLIpzZfh1I2y6Rgs/IMycBQDHmUKlEwXr+UpLwDCFmqci4z+C16WEDYAAMCXaz1HvZarCO+vYtPdeNsVDbEAiC5DWthQCvcHZrjHY3zajwLwXkXo23Sn6BHT0jqRkEKE2Zle5vcYbg4YH/IiABDEw78oang5WgBI65UCScJhAxA92IRJ8QAQlC7iFJ4lb3PoNMDbSe8Ss6e44d08GgJeFh9go/lL2FD/tMGcQRkHor6zIhOAcyrCv1rsP6sZ0RlM6rQrNkgzj3Wyv6p/9rVl9gV6Y3bZzzgPAtYQkiFUoBQZvOJWW0ZPji1XRHaby7ZqqJonmEu9SAGt8P1A6u4PM79oqbg/qVxL8LXq1lLyycjIyMjINBmaUPpsG74lq+xHojGXai4RGUmnKduVanUpIubZ5crtWaXfN0xPU9YlUxMBy1+uwdZkYLR+WqmhwlqyhExspT71h8rUVyiNy7Vd0kh9azRAIdLSlTUh4pub4bMnsHzw8X3NKv+SjHPQZWRkZGRkGhP0Sj9JEJ4Ed8pdrjKSTlO2KzXq4vHubp2OiJSjaHuvWo0FjjVUT1PWJVMTgYi6XIMt9Un9oTL1FUrjcm2XNFLfGlIUkrQig0e0Ed0IP+y2BhwS91DISwAyMjIyMqkNwpE9w0i5IZTIUvdlKyPpNGW7UqQuhEf1LNnPr9PxECSCGyzuhI6h/nvrkqmJkOUv02BLfVJ/qEx9hdK4LNtFUKbpZTpDlJTIipzyA7Hfj02uNSTLEECSQrS5N31cAOOwyO60ig1iH3QUqFx+EUBGRkZGRkZGRkZGRkYmtUB4LIPGop0bxNkVjNQvJ12qMhqM/CKAjIyMjIyMjIyMjIyMTKrCI2yZotEP7btUZCSPZB2D3qSgpq4jX58+qiMJAIAau46f/vz4dspklY5ZByxa8cm8bqpkFSgjIyMj00ggnLKfy9SPTq1dj+qIbqhLl80DNIJClFWPqLAOi6RWk/8uEE7Z12Xqm2IBIJPiyGFzSVNzgG3Kui7XwfxybZeMIJfkEgBm6X7vxFE9snAAADyt65hHhva1Jm0/A6bN7dezU676kjSNjIyMzOUO2tqRs+i8sfKeDGWVN/i0bdimv9X4f/bOO76pqn3gzx1JbnbSpGk6KBRlyB7+EJCh4ABEZYhSB4rIq7KHiiIbQUCWggsBAQHfl6WCooiDLcqojJbRQqGDjuyd3Nzx+6MtdCQ3yW1aC+b76R/oyXnOs85z7zk5N7eKGlVBZD7ZA05CWTcaIgzezCvSsHVkModddTuW2qlfmZe6Mi91ZV7KCG9N67C2puTlBboeVJUmlBb1cMiah3ZvYLsQRvzsjdRFpXJdNO2tz7HuHEIlQDhwZG/1usGZNoGTrZZq/FsTIOolpUqBBYA6ilfNse7UYn672cWP+ry08aOeNay8zkWlHV76uOjyzilpVZbTmKbL25/tKsrOcGXt//29J1uKkTCaUEXb4V/s+tWeneHK3PfbgsGtJeE0xag1mLr7iNk//37EmZ3hOr/v4OJnOspvxZgjlNFXpDZjoYr7p35tz87YP0B5s5u43bSc7AzXzb/jM+4Th2wKmmyYfsjh7IxT/2ksAACQ9vrgoOvvRb0ltTCYSB321srjf5xwZWe4zv74y4IhbaUVunMFBZE1e3zFlr3G7AxX9pEzX04e3EhYKw15qlH2AUW7x15d+9XO3HOnClZ1ldVeYGAQ6d0Dl3+1pzg7w5V9uuTQ1q1jOqhqt+HGL9nqajoEyt7gSvDzIafIaHsjygJrbzIjvM+DmiSu0n/20tFA1Ig69WlX1bHsEuPixKJl8Q5LwA+zSJwfQxlBQmTvJgs81k0QBk+kgPALpLyk/vNjRYLIL32qJOmDvNSVeSnvlqra81wv1RUhEiAcOLI3osS+jZKt4VMPJaVu4nXbU9UuuVs7M798i21WsbafGw/0WPvtC5ri0L2fl9g3WFmLOMqhBEbSiyDlzxUnL89LXZmfPMksSwy4yK+qIUpLRxU2urkr+k6puosfjWqGli/2BbqOj02dPHZcNy1AbtUPpL722SczmxxfOHXleUXvmTPm/IiXdHznuJXlasJ0j365edr9Z9a8lH7EmPTgzPmz9klM7aceMjFcTTFqjzBt8JKxrbM3fZB+3iJtPei9yW/vIi+3mZnhAs5QRp3ajIVIOr22etcIXbUHbjCxQsJemvH8rP02FgBYv/WqN0QTR7IJNE3iAVIe79lo3fWrwhbpPRUgTkqVoeDmm4gUjROGPR++PavQH99h8JwJM3e4LnZYmOXhDAqi6Lpiy7yBF9eMHn4gX9Z+zJxpm9e6/+/xz7NIvhryUgMAEEnL8as/npl2YdPWjeM/uZZfeMVdO4FBEbd7b+P8Ufbd08fOPWnGk1vd28lr9dRm+vNLtjqaDkGyNxg8fchB1L0RbYG1N5kgpW0Y6rCUosLuUhc0EDWiTn3aVW0sGqWKUMCA9gf8NEId1t24QrNFvF7vHMwuBnd8nORTI/7i6N1b1edY4YMwxFMlmrZC2+YEj4UR9baoRxrYxXpbUYNZ9oRIgDDgyN7IEvv2SbaGT32UlLqJ1+1ONbtwBtew5G6dJY/F09yKfsbE5uriT+V+3tOtwYDIfdKHbMreXgwgqDWRRDksgeH3QmnpiBL1XSLbpgSPi5L0N8eNZ+gFWk+1257qGrKolkauq0t3iBgBLWxvVz9bjFNJhtNY2BqFoGwLgGg2adHY7me/Sp/W6YvFqZXbxa3SJ3dwbx81feEhOwvHMsXtzkwd/djyv7aUMsGbQNczvZ/kwuR3Pt9VyABkvizpcnHuyP7vH9nM1cS9CEDlrYYunf9qejsN5inKNGoB8iu1ivot32tVKQSMLXP/hknvbjpmK5OGN35qyQ8zeqdJUQDXlWO7Zk9f/U0hCQCY7sEPlo17om2TRCkKjC1z/8apMzcettTQAU8Yunjzpj6XJgyZsi6X5BAIgOq6j5g18qEH2jdtpBbjAFTxz+mPv723TlbYQSFzNjzYY4PfzwAAHDrj69pr873tE/GMHIorlFFXoxZjoQkPz9w+yjNn5NJB/1tY5ZCKRE14Cs5kXj5fY60QpAnlSDaBJlV6/cBJ7aOP6L/epOvf03nkONK4uQaHUpKnzVTh1/MWlP/72GXJQw+s7JAmR7I8LGdQmvZ5SF20btG6b7JIgAtvLO47bFX3tvI1WSaWp4a81ABE1uPtFW8hn3bvtyPbFw2BwRHoO/XWeb5/a8nqoy4AgJPHd0bg5QDwS7a6mQ5BszcY/HzIQUi78MQBG3bM72/Z8kT6iqMONmSvqLu31iajqU6xGHdkVHmJLtLKmLSMQTFgiiT27XH2qxXeF1CSfmZVDy8uQujrEvs3asc1FACQZFv8KDsRx7Imwp3LEh19qF1sW6+x56MAABhN9LGoeruFMmCtItePcZa/BCwbSg2ClA0xK+8lMRShijAMoLJJwTRE4pzasVaxhgEAxki49sRZy94PjNLiISZVW1KgZACAKZLYd8bZc2pmFYt1NOtf9JDb9MZjOMshEADkXsUAh6S5T6BmEBSAwdzrEo2ZVWRWt0tAqqYXS7MSbmwXsQCIzq6fbqM+TzZcQAEAJD75UIuiPYnhADRKXVUY1ijKbyh5jMWB2qmfbS47IcWc1hVuIqp1QZpaE+b5BQqWNRKObzS2TKzaBwKMpXTq55bLBAD6kP7GLiELgLYvTR7pdy5LsuSXrdMY8cuF8Sny4vdVfh1n2kQ+FgSPF4capJ8zysEQ+CUtGeqoyn5GyAKQu1hxJyORxNiKQt1QBplEAFxR5tIQYfHWdtXDLnFjCgFgXQL3Dp0pI5Qa/GYlZ1PgtOFItvBmZQNNAG6CBQWlxUOM6o4kLmUBEOqq1P6Nypkfwcmtat7gX3uDFVjO4hCOo/4txbzMRcVCXw7qyxF7clD9RKu6vaT0JHZ72VVTvqCPWdlU6FivET1nCvZUeE1vBFcjLIERqCH3ylqx5I442984gIg0ssRss6I17fmrStELGC/WjZP5QgaAvC5AW9xQdfOhGRJG4UqYY8J+SizaJ2ABAKVkU27EUZrCD6V0JFWgzK3erHf7PdLzzU2/FVdbXWD6Tp0TqfM7L+qnf/dH3mePMMcOXsNaPHIXwdmEStQSYJwlzrJ7RMaYebYITe2SLORs4gLTPbxu6/RnBAemjZvw7LxvMv3VrxVX96568ZWxz8z+yd9n4o453VTlO6y0KePbOVNe7zt0RL/xX15q+cJXHw1pggEAYLK7Huza1Pz1rKEjxz0/fz/Td8L293ppqiWZMGX4ko0bel96Y/ib63NJboEAguQHho/sge1bNTf9pdH9Xhz/4oL/nXbUqiLzgim/twYATJ0Wj7mu5Zpo4IxX1OE/liBl0LqFHfZNmbYmx1ft0q7Qq3CvR6bTyKoHP1gTVx5KtXFC28m1f2mf7tmo7cAu9t37LpDSZEU0flECV7To8+wrzX1H95y1lNsQLChAGnMK2MT+jzSTIQCoon2PJsj1E1lONgoaRqIGGv/Au8P0rG74D3+edF04dGbDlKGpNaZkJAI5oMzZmU5xz2ceuIuIyvcg/JKtTqZD8OzlgI8PgxPaLiK1R18dSrToeX88HkavunBv7UxmhN28qFHqNlRNH6PEujG+dF2ci/aoRpvFZU/MIIx4WIm2D+3bqy39Is5FetQTShUJLAAgClKkFlg/TTDnkdL24FgbbzN5VcPcOAqAMKLBJbqHKd/e+JJV8ZZzrDS9VH03E0INlJY8XxrXGTzfag3r1a4ipHp6B9QQgHWJnN9rSj/UF6/W2otJ+UtGmaZceUFzr8AtM63RGb5Uuxm3arRZXP38MIvfa9aP8Ph3JRj/KL9vCCoQAFF55N08kKU0rdOVrtYZNqod1W/lg7g3MKzoSYO6NercoitZnlCyLs5+UkRXRDLKY9kkxvcTiz6Id5iDfABBvb9oDF9o7KV+xehSZUq1GRhoLIfE+H5i0aLEoqVal7PSR3OlJEOLW1cc4xSRkrtZ+rzE7+dMG15jQfB4cajB0YsLCvNbAW/tEYgAANBkrwBwX3GotVzwSQScUQ6uIYt3MepfsYlcEuvm+NLP4k275Z6QS0p+szJkU8C04Ui2sGZlQ00ALoIHBWEEzX24VW78TFf6pcorcMVNMsjjw7+3re4NnrWXo8ByFocwHPUvLeZMntxZwoq6+G6dLb897KoJQu5OLFymsV+qvvPL7Y3gaoQjMAI1EAGNAjD2CkOcQp8N8CbVni8IdUFkgaEqVu0OkbsQ8DY+rOw/Cb9YD/5zIibCNWfFTSDLBuyIx6UowXbOwCjTkgkNrhfZCkwgTdYIEaCDN7mLTpwoQodNeaHT8c8zDKiiSVONCHAxjgBQwZu4tGz82KjHJOcmvLZw3Q0G4HiWtv/T4yt/wHf5lx+/O+wCOFXUrM+hJ/u1JY4e9gAA67xyaMcVAAA4m5Wne2TAOz1aSv57zVHe69qxAz8dccGRk9eb9Do8tF8b4sDB8tPPgCpaT/pi6bzUg6MGz9+Wf3NnhFsggC1z2459fzaEt0Mi0s6vvjcj9eycsX9YWOAMpTvaGxV8x8JTXloyOW33xGcPWWl59Ta5wlOCP7z154EIeC79uvGtmWt/MdCcTRzJhqkSFZjfdOx/p9+Zmj5W4do+/nr8UGmaspZbAHjTkZvPTW8BAJZf5z33v/zq54eqBwWowt2vze/2w6zNmffv32dpObR95uTn1p73Qe00jFgNaYu+9+KW/d9/8emRXKe87StzZ2zayOb2X3Hay1MgB6zt2MTRH6//8L2zR57buWXrx5t//tPA9+QFAN9kq4PpwJW9YRCJDzmUCGmX8/RHI5cYutr3r7nmD6MXV52vrXt5mUyQsnsY6qCk2lk+tlTiPkswAD6bXzLFJUliPTkIqF3KLjT5TYL5IM4CeK9i2IxSRV/SsVUEAEBh/usin1gArTDyqtivFqj6kxgOlNSt7s54NugtZ1EA8F0ToM1uKO8nrdkEE1wNJM6tbMP4tmnNx3AA8BYzkk620BoCgE/gySh7IlNImmlJG6s4gXGYKtZRJsKTRTBAeM2UeKpLmsR6siuulggj7GPQDqQ8m/XmU5W+N+AUCICRp2Tua0EuuUHcGxiExVQMuITey4TPBQDgq/6J6I3FoFQJChjQQT7MXlHYDhEMgCcHx2aUyPr47Ju44nVLJgAIWKbyHpSTcOaCpqMH3y/w04A2doklmPOEgAVAIHjakLzGguDxCq4GV68yhAxadqlggfWi5bd3DO7cqibGWvQzve4sVNjRR+5IsN2oFJ2AvYJPooqUCxLlYBqKfMonPcgFTdFaKR3+mSsVn1kJoZoCp03IZOOYlcHGqucE4CBglEMFhbUQ3osEA4Q3B0dnGJQPkc6vRWFV7YDeiLz2shwFljteIR31ry3mNOo3I0gchaHA3EZ2BSRkLgb0Boca/O7CgvRi7YTXBrK+DtE1hc8BqMaP4YBU+yEG7ngJaVFnmzIFfNuFDAvAYp6TQvWTLpFcRtkASfCIcMx1OaINC4BbWwAhcJ0c89CA2f6SYukT4TS5z336worGWyavuzoRAABoAMjPs9PcTcERNemcAoVb/zSGvF74iy4ZQKFXCQA8AIAn9nxp8aQhfVsmKBiHwasE3EkEKJH+oosGkGmVtwIi6r/08/7+o6Mfmb2tuPKgYQr8p0EV3cet3j1G+uWroz6+WnV9xRHKqBPZWGhiv7fmph148fW/7QHSmLzw+ahmnwNg8ru7DVmwdNJ366nOQ9Zd9HM1BU82TKGTYpTPfObbY43WPGtYOS/f+zyNypUECvZaHASn8ne90fXvpGYd+02dMuvgR/6uY7/Pv5naAYOCSlLSkkUFv67+/qL6/mZIXNcRg9vuXHbCzNRGw0jVQOWJOjHkbv963yErAFyeNrvzoI39n23+yemzPp52ccGYT64d1Gt76wefeHXU5N/GjPtu1phXvr7qDt2RE36JHbXpwJ29IXtH6sNQcNjlL/7pixU/Rdor6u7laTKa5iQIrqPjrE1AA4OJWQAE1foEgDtyKq6LHqHnBkgb+TBMdGsO3RREl63wAIn34igjfLmgyjNxPhpBbn24phqIxocD7rgW+iG9yhoCAKL0ygdZZS38uBgYB4IC6wv0E02svUovAEBam3StwbslyXSqyqBhCgxISPdW1Qn1fKf2vGZJeM/lOy11HZW7crHAXybUfqzw8Qk8RSBLIlGMuLnWimwsBvMeJdgRLrFG7jewou4etFTuulH1frRG2twkUruCxotTDc4oM8SIQl2bsvEF1oV6e8XPX6FqCsdw90EJKfEKEIbo6hL9rfK6uHpxTCKK874tmIaI2ieUgO+4OIL1P99ZeZPQQQmUNiGpOSvDGqsqdZAAHASOcgRBcYncBSBJDZ0AZXB5I6LaG3aBrUZIR8WK+e1lFz8CeqP+1CCFtg1KwUhbwrxbe0mUuepTG0HihdxjSFlZ9k/M+1u86XjZsh2hzsjIJ82yFrTrLxRv6UWdYndJxCdrQ2wBUOYCGygTtUKWtBYVAohSUjTgOmkiWa4mAMb+xydj7lqrTNYrULenyaT//tj//OECEribgsOyLAAazi8h0hQNCIohAADCtOd2rh+r+/mjMYuO53pETQfO2zIqcC+GYQCQSuFgzu36ER3y2PLFz2eN+epvV3lIwhf4T4KqHpj2xXcjmNUvj5x1zFpRoznjFWV4jYWqH3yxp1IL354ceOt/fngg/8FXWr556tbBOdqRc2TTmDndHl312MCUjRdzK+2X1WwKmmxSqUbCkhTtypg2/NlVvutXyQQvhUiUIgygNs+C+20F5zIKzmWcPGJIyV4+8qlGP624RgEECwqi7PHWhufphQ+/veo6BRs3fTh45aklsyfuGTL7IlYbDSNUg6VIGkCWIMPASgMAacgzQp9GSvzm13oRCgwD2pb5y1cTft25YdyGw3Nm/3Jw5Pob/BzPL7GjPR3CzN7Affn6MABR90bduJevyQgj6uZBDQquo+MsAlWLeQhYhK2aeQgAAphzfbyj8u8Gk9itR+wCqsFWdA5jxFsaYn756FKVXGL9r9prQhCtWzPSztGrivxCqQt1Sp8yKYq09oIKg8MXWJNg7mUBCXKnwN6QG+ZJRO1c0i5O9QS7KktdskHuD2dHJ5xQ8qXyspDfWPQluddnkHWmHIf98tYMuUfqr5alNdKG51ic8QqqRogoo+QPutJDZc+0opS1QhOxR/2Cg92XZDqAsyB3/O7SvmOKe1BS9H3ZQ+lBevGDQ8OyTI6w0vKclSGbKn8KiVirALOyQSQAB0GiHElQWDa8QgehvBFJ7UXDL7CVCemof1sxrwzGCNQs2HCaqfGC+AZrFz8CeqN+1WBylaWzFaiSRhGE1dr0Y92+K5W+tOeI1zV1yTaCIVHajDGV54tN7LiCaO734BkE0ZZiLkjCuvJWJcSNEl18+lQR3npoOwUCAIA36tmrCX3p5ytezqZyWNJWkFdobfT0B09rrvz3q78q/VQbR1MgvFePX4OUng8lR7ZBQ6R1awM5Hy356rsTF86eP3MkM9hThDXx5/20qM+QD463nvzL2pc6VLxJrhYC6w288bDF21/CPh31n5lV7q1Dxyt68BqLsf4wZdh9A58u/0tf/jfAuSWjHlqWVfP7YbTiR0pqiqnZFCjZMLlKxPhoFijz1QtnC90My/hohFBE7UgHy7AsIHj5rlWwoGDxze9WeAoyTWUbGVRxxsl80DTTCKKlYXhqsI6rmcXQ+NG2yrJH/6SN70mC0nMlAX4HNTyB4evnvnDwVDGa1FrLe+81jGTDEx59ZdLsZ9pUevVgtKdDONkbQA2Igg+rEHVv1IV7+Zss9slastRJSTjfPgEAYxT5gSLurnjXsZgUJwGTf+t5dQBgzury39F6fZV7EX6gRUkIVSzw3/yrvGEfSA3GSPiBEreM8C1rAopIAv8BleOsiCwU+q4IwvcHa5FYVuotV0nVRIPi5qPvtRAY2L00SrkBTaCC7sBTmO+0wvxZUuFqOdvKqm4e3lYeVygRoAERB3qhNIuwFCBSzndNS0hxctUoR5g2AAAuwn4Kw7s5JPfZCVZsP119C6Rm2vAciztewdQIFWWmSOS9THgvE95s4c0nFBCZXyBGqKLyxRRrF/nMgOkYhLNXOJMoIrtYq5B0g6irFwt6LQuQAPxmZeimm9RMm3CSrSYNIwE4CBjlMIJSgcgvTgLmhjCssxKc3oio9oYusAHjFdJR/6piXhUk2SnTI94ToR4gb1B28SOgN+pfDRZhrDjloWSDnZhRdutHVYNpWNbJg/tvCPzGqut/AGAwz69iprFDerdHqkc9fwp5fItWXlAQsa5xU7VAlqoQAJHYtFkbgbMoN9/kB0/W1yv/HrZ46XuX528/L+81Y2qz0m/H/GBgALiaABU3at7srtS7uj4w8LVhnURHlz28+mL5rTBHU1Do/B8+2Txu9fxNH0hXfPtHCTRrpar6RoDA+PJP58Drr44bdmXbuSKfoNE9KgBT2K5hnRe2pg9ntu2c9sMyY/fxe65TtRRYL0g7zniji2fvuzvNulYtdAAA4DflXS/ysFzxija8xqJt+Tm3zsgoGjkAsMIrl4o9LAAiazvh1Xst5y7lORFt895jJ98nuPTJD4V+4GwKmmyoUClGKVOlEwQs7acRiZLg/a4NPKHX5GFJ17Oul3hR7d33vz6li+Di6j0FfgCOoFA3/jxe8Fb60ulPvbElo0TY5MmJL7f0/b00xwNoHD8NeanBei7uWHN5+Ky5syZ41h32t544txd+atGWqyRvgRwaCpIHLHq9yYXDpzKL3ai62aBxg/WuI7/X+HmB8AmZbLLOEzdM66+A3p4TTy+56g+zV4RwZS+HGvx8yEHUvRF99/I3GU1zEkLcHv4PX1uktr/s8YMMcYjSbWJEvaxSsX+wDJcAACAASURBVND6qzDEl1gWifWYTdevRCdXOrMENDB4AkMek5EV2x6B1bBIbH/Z4h8v1QpVzlwMdGS1H5EODIX7DKDsYZMZZD4bgqj9aETnkHxCx/oEeKVYPcZIL9W6zEhtBAa2i8G8p4XwhCXuUXBexUBfyS6EIQZYCQfhLcAZhhG0IFFAaHdYt81coaRRshRBWtkV94KPpTGn2HmpouoxGFmAIp1tyvvAS9KYV+y6UP5FChLnJVoCI/ZLHrRKifIohx4rKAh5SObvbtM8DvTRBE+Igzzh2RWQEPEKogavKLM2wmu1yodYZbtkPjsraG9T6BHfL4IQHYNPIp52+US2vYTkKaN+tMJ+UuR3ASKtGuWACcBvVoZq4kgbjmTjoCEnABehgoLcZVf2or0WEHazymS4/TdROMNFXrGDRzlkgQ0Yr1CO+ncV87ImPSn0AJ7qVjzmxHJVhr9D3fU2JLuCIqAFWgZEFIoBovQLkljGhlOuigegAnqDWw1OgTzUQNSkMJ4SpHmlPZ0ijLCsUpKVvrTndZECJkfhNBcrnrMibqklkpd03KR8C0DUbvy634bHlf3HmM+2joHcmY88vTyXAirvs9fHyhe8M2nFRzLKdGLX3AHvVbwRmqNJ1HzalxtGys2Xzv614a3nP9qdab65s8HRxGGo9eiEp6bcmDn21YUr3kYBvMaLx84Uh5qSvpyNT09Wrpzw6pZBSgEA5bbknjoU6KvNoHhytr3wWtqfm+Z+/Z+LfT/J9tRaYF0jTOz4fyrQDFxw4NZ5ZOvG4QPGnPJwxSvqRHssVKzWt3t8yqgJWgGA68af+z98bPFXF8gQTUGTDSGUIoTxV355Bk3SqLgWpwBQcVxa9+ETxjaOw4F1FPyxb3m/D7ZeJAE4g+I+t/qJN5Hl4yftGSYF8Jdk/T5r1KJtJQxgPDXkpwaQV5aPmiieP2XaF5sWgOvSz6sfn7m97BkLngI5NMRYn7bHm4tfSZEiAK7cE3snvrBib833cYZPqGTz5h39zdCvv+XwMQMVfq+oE1ANfj7kIureiLZA3iYjjKibFymN5Og4i3q2JxjdZtUAo1QIdL7UskrtCPm8HIt6d+pLTVZVT6vmfhYAoQskllMVi41garCoZ1uCwWZR9TTFPwoACF1M+OyhxqIE9rVadJhVOdKFYgAMwphE3pC9KuMXODbGC94q1bzsID9U+P18BQZ1L0Id0hqVZlVfU3w/ALaSXQiLoLT4UaNCCgDAWoXu7+ItubUZqwzUtzvOpbUonjeAH/fuE7lu/cAy4tsb50gwy9MNcgrz/iRyXcCARakcEdXRrn3NDoDQuVLzSpXzZpR5pA0AALAlMtsFu/Yegf33UMvdcO0KRKgECKwGv7QhhdZPNfCUTfW6EwVg7ULP9/HmkK+Y5jeJuDREqKPxxU6b8iGX6gU7AgBu3PubsFKUAyUAv1nJ0cSdNgCBk42bBp4AnKqHCApLE4+a5FJgjYR9rcZWUPtpHgiOKIcusIHixe2of1sxp1DKhEieKNUDMGah93et8VcJFXIF03DsCg6SbNNNcpbPz14GfS/w70kq/hVngcMbXGpwCeSjBit8xJDQjaFLhL4/NMUHpGTls+98L1LgFzp+IuTPeqnfZGTNI2lhgHSQ3M2nX4wYMWLEiFFvSD3xcwz4/sTinwV1uVVzm6gRderTroY2ltCnmVMiOpxY9GPt9KnPsWJUhsPzd2qy1RuYXzGtSFmqK1xLRLZT3/BLZcPXkB93ql38aPjeqIWGSGNL4nifY1GCwxjB9sGaZ5LL/hGN96DHiBEjRowYdQl6l5MQCGwRnpS7U9WIOvVpV8MYi8W7WOVyga8ERVvaJRLMdbG2+tTnWDEqw5FRd2qyNXwafqls+Bry4061ix8N3xt8NCT8wgQWkfnkw5zwh85l4nmGIrYFECNGjBgxGjYIQ3TzIiVKTyRb3XesGlGnPu1qIGMhLKqgid5OuZwFt8C9W2uN6DXU/+xYMSrD5fk7NNkaPg2/VDZ8DflxR9olINUziuXKAC2+TSklp4M/Hxtdb/BWgwNeGqKN7PFjXRiD+f6IK90d6gcdOQaPPQgQI0aMGDFixIgRI0aMGDEaFgiLJfixQC+OYoxCiu8vJ92uatSa2IMAMWLEiBEjRowYMWLEiBGjocIidLGwzl/ad7uoET2i9Rr0egVVdxr+/oz0NgQAAKrqNG7G2+NaiKIlHdP1Xbnpi8WdxdESGCNGjBgx6giEEfW2qHv7G9apR4lPPsgiT2IB6kBDlJYMK9UN9jUsk/8pEEbUy6Lu1cASIEYDJ5Y2tzWVC2x9jnWnFvM71a4YnNyWWwCYtsvTE9K7JuIAAHhcp1EvDuqli9p5BkyW1rtb2zTJbemaGDFixLjTQe82pay8oSq7J0Np0f0OWTO6/m81qqhRFUTmkz3gJJR1oyHC4M28Ig1bRyZz2FW3Y6md+pV5qSvzUlfmpYzw1rQOa2tKXl6g60FVaUJpUQ+HrHlo9wa2C2HEz95IXVQq10XT3voc684hVAKEA0f2Vq8bnGkTONlqqca/NQGiXlKqFFgAqKN41RzrTi3mt5td/KjPSxs/6lnDyutcVNrhpY+LLu+cklZlOY1purz92a6i7AxX1v7f33uypbhqRCPvFUJgjNqAqbuPmP3z70ec2Rmu8/sOLn6mo/xWjOvT87UaC1XcP/Vre3bG/gHKm93E7ablZGe4bv4dn3GfOGQTqmg7/Itdv9qzM1yZ+35bMLi1pFweph9yODvj1H8aCwAApL0+OOj6e1FvSS0MJlKHvbXy+B8nXNkZrrM//rJgSFtphe5cQUFkzR5fsWWvMTvDlX3kzJeTBzcS1kpDnmqUfUDR7rFX1361M/fcqYJVXWW1FxgYRHr3wOVf7SnOznBlny45tHXrmA6q2m248Uu2upoOgbI3uBL8fMgpMtreqBP3BrlwhAUjvM+DmiSu0n/20tFA1Ig69WlX1bHsEuPixKJl8Q5LwA+zSJwfQxlBQmTvJgs81k0QBk+kgPALpLyk/vNjRYLIL32qJOmDvNSVeSnvlqra81wv1RUhEiAcOLI3osS+jZKt4VMPJaVu4nXbU9UuuVs7M798i21WsbafGw/0WPvtC5ri0L2fl9g3WFmLOMqhBEbSiyDlzxUnL89LXZmfPMksSwy4yK+qIUpLRxU2urkr+k6puosfjWqGlt99CXQdH5s6eey4blqA3KofSH3ts09mNjm+cOrK84reM2fM+REv6fjOcSvLtxeXwBi1RZg2eMnY1tmbPkg/b5G2HvTe5Ld3kZfbzMxwQf16vjZjIZJOr63eNUJX7YEbTKyQsJdmPD9rv40FANZvveoN0YTpHv1y87T7z6x5Kf2IMenBmfNn7ZOY2k89ZGJAoGkSD5DyeM9G665fFbZI76kAcVKqDAU3vwsIAEXjhGHPh2/PKvTHdxg8Z8LMHa6LHRZmeTiDgii6rtgyb+DFNaOHH8iXtR8zZ9rmte7/e/zzLJKvhrzUAABE0nL86o9npl3YtHXj+E+u5RdecddOYFDE7d7bOH+Ufff0sXNPmvHkVvd28lo9fL0OwDfZ6mg6BMneYPD0IQdR90b03Rv8whEeBCltw1CHpRTFo3P0aCBqRJ36tKvaWDRKFaGAAe0P+GmEOqy7cYVmi3i93jmYXQzu+DjJp0b8xdG7t6rPscIHYYinSjRthbbNCR4LI+ptUY80sIv1tqIGs+wJkQBhwJG9kSX27ZNsDZ/6KCl1E6/bnWp24QyuYcndOksei6e5Ff2Mic3VxZ/K/bynW4MBkfukD9mUvb0YQFBrIolyWALD74XS0hEl6rtEtk0JHhcl6W+OG8/QC7Seand61TVkUS2NXFeX7hAxAlrY3q5+thinkgynsbA1CkHZFgDRbNKisd3PfpU+rdMXi1Mrt4tbpU/u4N4+avrCQ3YWjmWK252ZOvqx5X9tKWX49eISyAUqbzV06fxX09tpME9RplELkF+pVdRv+V6rSiFgbJn7N0x6d9MxW5k0vPFTS36Y0TtNigK4rhzbNXv66m8KSQDAdA9+sGzcE22bJEpRYGyZ+zdOnbnxsKWGDnjC0MWbN/W5NGHIlHW5JIdAAFTXfcSskQ890L5pI7UYB6CKf05//O299bu3QeZseLDHBr+fAQA4dMbXtdfme9sn4hk5FGcoo00txkITHp65fZRnzsilg/63sMohFYma8BScybx8vsbyKEgTquuZ3k9yYfI7n+8qZAAyX5Z0uTh3ZP/3j2wuZQSaVOn1Aye1jz6i/3qTrn9P55HjSOPmGhxKSZ42U4Vfz1tQ/u9jlyUPPbCyQ5ocyfKwnEFp2uchddG6Reu+ySIBLryxuO+wVd3bytdkmVieGvJSAxBZj7dXvIV82r3fjmxfNAQGR6Dv1Fvn+f6tJauPugAATh7fGYGXA8Av2epmOgTN3mDw8yEHIe3CEwds2DG/v2XLE+krjjrYkL2i797gF47wQFOdYjHuyKjyEl2klTFpGYNiwBRJ7Nvj7FcrvC+gJP3Mqh5eXITQ1yX2b9SOaygAIMm2+FF2Io5lTYQ7lyU6+lC72LZeY89HAQAwmuhjUfV2C2XAWkWuH+MsfwlYNpQaBCkbYlbeS2IoQhVhGEDlKAbTEIlzasdaxRoGABgj4doTZy17PzBKi4eYVG1JgZIBAKZIYt8ZZ8+pmVUs1tGsf9FDbtMbj+Esh0AAkHsVAxyS5j6BmkFQAAZzr0s0ZlaRWd0uAamaXizNSrixXcQCIDq7frqN+jzZcAEFAJD45EMtivYkhgPQKHVVYVijKL+h5DEWB2qnfra57IQUc1pXuImo1gVpak2Y5xcoWNZIOL7R2DKxah8IMJbSqZ9bLhMA6EP6G7uELADavjR5pN+5LMmSX7ZOY8QvF8anyIvfV/l1nGkT+VgQPF4capB+zigHQ+CXtGSooyr7GSELQO5ixZ2MRBJjKwp1QxlkEgFwRZlLQ4TFW9tVD7vEjSkEgHUJ3Dt0poxQavCblZxNgdOGI9nCm5UNNAG4CRYUlBYPMao7kriUBUCoq1L7NypnfgSH1ap5g3/tDVZgOYtDOI76txTzMhcVC305qC9H7MlB9ROt6vaS0pPY7WVXTfmCPmZlU6FjvUb0nCnYucKa3giuRlgCI1BD7pW1Yskdcba/cQARaWSJ2WZFa9rzV5WiFzBerBsn84UMAHldgLa4oermQzMkjMKVMMeE/ZRYtE/AAgBKyabciKM0hR9K6UiqQJlbvVnv9nuk55ubfiuutrrA9J06J1Lnd17UT//uj7zPHmGOHbyGtXjkLoJvL06BwcF0D6/bOv0ZwYFp4yY8O++bTH/1a8XVvatefGXsM7N/8veZuGNON1X5Dittyvh2zpTX+w4d0W/8l5davvDVR0OaYAAAmOyuB7s2NX89a+jIcc/P38/0nbD9vV6aakkmTBm+ZOOG3pfeGP7m+lySWyCAIPmB4SN7YPtWzU1/aXS/F8e/uOB/px21qsi8YMqXEwCAqdPiMde1XBMNvD3PC/5jCVIGrVvYYd+UaWtyfNUu7Qq9Cvd6ZDqNrHrwgzWhErUEGGeJs8whjDHzbBGa2iVZCIBKtXFC28m1f2mf7tmo7cAu9t37LpDSZEU0flECV7To8+wrzX1H95y1lNsQLChAGnMK2MT+jzSTIQCoon2PJsj1E1lONgoaRqIGGv/Au8P0rG74D3+edF04dGbDlKGpwtoI5IAyZ2c6xT2feeAuIirfg/BLtjqZDsGzlwM+PgxOaLuI1B59dSjRouf98XgYverAvUEvHOHBCLt5UaPUbaiaPkaJdWN86bo4F+1RjTaLy56YQRjxsBJtH9q3V1v6RZyL9KgnlCoSWABAFKRILbB+mmDOI6XtwbE23mbyqoa5cRQAYUSDS3QPU7698SWr4i3nWGl6qfpuJoQaKC15vjSuM3i+1RrWq11FSPX0DqghAOsSOb/XlH6oL16ttReT8peMMk258oLmXoFbZlqjM3ypdjNu1WizuPr5YRa/16wf4fHvSjD+UX7fEFQgAKLyyLt5IEtpWqcrXa0zbFQ7qt/KB3FvYFjRkwZ1a9S5RVeyPKFkXZz9pIiuSN4oj2WTGN9PLPog3mEO8gEE9f6iMXyhsZf6FaNLlSnVZmCgsRwS4/uJRYsSi5ZqXc5KH82Vkgwtbl1xjFNESu5m6fMSv58zbXiNBcHjxaEGRy8uKMxvBby1RyACAECTvQLAfcWh1nLBJxFwRjm4hizexah/xSZySayb40s/izftlntCLin5zcqQTQHThiPZwpqVDTUBuAgeFIQRNPfhVrnxM13plyqvwBU3ySCPD//etro3eNZejgLLWRzCcNS/tJgzeXJnCSvq4rt1tvz2sKsmCLk7sXCZxn6p+s4vtzeCqxGOwAjUQAQ0CsDYKwxxCn02wJtUe74g1AWRBYaqWLU7RO5CwNv4sLL/JPxiPfjPiZgI15wVN4EsG7AjHpeiBNs5A6NMSyY0uF5kKzCBNFkjRMDN8ulFcwsMpmXjx0Y9Jjk34bWF624wAMeztP2fHl/5A77Lv/z43WEXwKmiZn0OPdmvLXH0sAcAWOeVQzuuAADA2aw83SMD3unRUvLfa47yXteOHfjpiAuOnLzepNfhof3aEAcOlp9+BlTRetIXS+elHhw1eP62/Ju3qtwCAWyZ23bs+7MhvB0SkXZ+9b0ZqWfnjP3DwkLIUEYVvmPhKS8tmZy2e+Kzh6y0vHqbXOEpwR/e+vNABDyXft341sy1vxhoziaq6MSJInTYlBc6Hf88w4AqmjTViAAX4wgApkpUYH7Tsf+dfmdq+liFa/v46/FDpWnKWm4B4E1Hbj43vQUAWH6d99z/8qufH6oeFKAKd782v9sPszZn3r9/n6Xl0PaZk59be94HtdMwYjWkLfrei1v2f//Fp0dynfK2r8ydsWkjm9t/xWkvT4EcsLZjE0d/vP7D984eeW7nlq0fb/75TwPfkxcAfJOtDqYDV/aGQSQ+5FAipF3O0x+NXGLoat+/5po/jF48KzavC0dYEKTsHoY6KKl2lo8tlbjPEgyAz+aXTHFJklhPDgJql7ILTX6TYD6IswDeqxg2o1TRl3RsFQEAUJj/usgnFkArjLwq9qsFqv4khgMldau7M54NestZFAB81wRosxvK+0lrNsEEVwOJcyvbML5tWvMxHAC8xYykky20hgDgE3gyyp7IFJJmWtLGKk5gHKaKdZSJ8GQRDBBeMyWe6pImsZ7sivsDhBH2MWgHUp7NevOpSt8bcAoEwMhTMve1IDcZQdwbGITFVAy4hN7LhM8FAOCr/onojcWgVAkKGNBBPsxeUdgOEQyAJwfHZpTI+vjsm7jidUsmAAhYpvK2m5Nw5oKmowffL/DTgDZ2iSWY84SABUAgeNqQvMaC4PEKrgZXrzKEDFp2qWCB9aLl843BnVvVxFiLfqbXnYUKO/rIHQm2G5WiE7BX8ElUkXJBohxMQ5FP+aQHuaApWiulwz9zpeIzKyFUU+C0CZlsHLMy2Fj1nAAcBIxyqKCwFsJ7kWCA8Obg6AyD8iHS+bUorDIe0BuR116Wo8Byxyuko/61xZxG/WYEiaMwFJjbyK6AhMzFgN7gUIPfPUqQXqyd8NpA1tchuqbwOQDV+DEckGo/xMAdLyEt6mxTpoBvu5BhAVjMc1KoftIlkssoGyAJHhGOuS5HtGEBcGsLIASuk2MeGjDbX1IsfSIC4Ry9IhMoatI5BQq3/mkMeb3wF10ygEKvEgB4AABP7PnS4klD+rZMUDAOg1cJuJMIUCL9RRcNINMqbwVE1H/p5/39R0c/MntbceVBwxT4T4Mquo9bvXuM9MtXR318ter6il8o+RHZWGhiv7fmph148fW/7QHSmLzw+ahmnwNg8ru7DVmwdNJ366nOQ9Zd9HM1uc99+sKKxlsmr7s6EQAAaADIz7PTAJhCJ8Uon/nMt8carXnWsHJevvd5GpUrCRTstTgITuXveqPr30nNOvabOmXWwY/8Xcd+n3/zah8wKKgkJS1ZVPDr6u8vqu9vhsR1HTG47c5lJ8xMbTSMVA1UnqgTQ+72r/cdsgLA5WmzOw/a2P/Z5p+cPuvjaRcXjPnk2kG9trd+8IlXR03+bcy472aNeeXrq+7QHTmJeo2KDO7sDdk7Uh+GgsMuf/FPX6z4KdJe/7B7b4KmOQmC6+g4axPQwGBiFgBBtT4B4I6ciuuiR+i5AdJGPgwT3ZpDNwXRZSs8QOK9OMoIXy6o8pCCj0aQWx+uqQai8eGAO66FfkivsoYAgCi98kFWWQs/LgbGgaDA+gL9RBNrr9ILAJDWJl1r8G5JMp2qMmiYAgMS0r1VdUI936k9r1kS3nP5TktdR+WuXCz83Z3Ixgofn8BTBLIkEsWIm2utyMZiMO9Rgh3hEmvkfgMr6u5BS+WuG1XvR2ukzU0itStovDjV4IwyQ4wo1LUpG19gXai3V/z8FaqmcAx3H5SQEq8AYYiuLtHfKq+LqxfHJKI4jysF0xBR+4QS8B0XR7D+5zsrbxI6KIHSJiQ1Z2VYY1WlDhKAg8BRjiAoLpG7ACSpoROgDC5vRFR7wy6w1QjpqFgxv73s4kdAb9SfGqTQtkEpGGlLmHdrL4kyV31qI0i8kHsMKSvL/ol5f4s3HS9btiPUGRn5pFnWgnb9heItvahT7C6J+GRtiC0AylxgA2WiVsiS1qJCAFFKigZcJ00kZ05x9OInsOxbIzScX0KkKRoQFEMAAIRpz+1cP1b380djFh3P9YiaDpy3ZVTgXgzDACCVwsGc2/UjOuSx5Yufzxrz1d+ucu3CF/hPgqoemPbFdyOY1S+PnHXMWlGjeXqeF7zGQtUPvthTqYVvTw689T8/PJD/4Cst3zx16+Ac7cg5smnMnG6PrnpsYMrGi7mV9stqNjH2Pz4Zc9daZbJegbo9TSb998f+5w8XkABSqUbCkhTtypg2/NlVvutXyQQvhUiUIgygNs+C+20F5zIKzmWcPGJIyV4+8qlGP624RgEECwqi7PHWhufphQ+/veo6BRs3fTh45aklsyfuGTL7IlYbDSNUg6VIGkCWIMPASgMAacgzQp9GSvzm13oRCgwD2pb5y1cTft25YdyGw3Nm/3Jw5Pob/Bwf9RrFizCzN3Bfvj4MQAOp2HVVbRBG1M2DGhRcR8dZBKoW8xCwCFs18xAABDDn+nhH5d8NJrFbj9gFVIOt6BzGiLc0xPzy0aUqucT6X7XXhCBat2aknaNXFfmFUhfqlD5lUhRp7QUVBocvsCbB3MsCEuROgb0hN8yTiNq5pF2c6gl2VZa6ZIPcH84mVjih5EvlZSG/sehLcq/PIOtMOQ775a0Zco/UX21i1kgbnmNxxiuoGiGijJI/6EoPlT3TilLWCk3EHvULDnZfkukAzoLc8btL+44p7kFJ0fdlD6UH6cUPDg3LMjnCUsBzVoZsqvwpJGKtAszKBpEAHASJciRBYdnwCh2E8kYktRcNv8BWJqSj/m3FvDIYI1CzYMNppsYL4husXfwI6I36VYPJVZbOVqBKGkUQVmvTj3X7rlT60p4jXtfUJdsIhkRpM8ZUni82seMKornfg2cQRFuKuSAJ68pblRA3SnTx6VNFeOuh7RQIAADeqGevJvSln694+fbiJ9B79fg1SOn5UHJkGzREWrc2kPPRkq++O3Hh7PkzRzKDPUVYE3/eT4v6DPngeOvJv6x9qUPFm+RqIbDewBsPW7z9JezTUf+ZWWU5wc/z/OA1FmP9Ycqw+wY+Xf6XvvxvgHNLRj20LKvm98NoxY+U1BRTs4klbQV5hdZGT3/wtObKf7/6ywUAmFwlYnw0C5T56oWzhW6GZXw0QiiidqSDZVgWELx81ypYULD45ncrPAWZprKNDKo442Q+aJppBNHSMDw1WMfVzGJo/GhbZdmjf9LG9yRB6bmSAL+DGp7A8PVzXzh4qhhNaq3lvfcaRrLhCY++Mmn2M20qvXow2tMhnOwNoAZEwYdViLo3GoZ7KxD7ZC1Z6qQknG+fAIAxivxAEXdXvOtYTIqTgMm/9bw6ADBndfnvaL2+yr0IP9CiJIQqFvhv/lXesA+kBmMk/ECJW0b4ljUBRSSB/4DKcVZEFgp9VwThpwBrkVhW6i1XSdVEg+Lmo++1EBjYvTRKuQFNoILuwFOY77TC/FlS4Wo528qqbh7eVh5XKBGgAREHeqE0i7AUIFLOd01LSHFy1ShHmDYAAC7CfgrDuzkk99kJVmw/XX0LpGba8ByLO17B1AgVZaZI5L1MeC8T3mzhzScUEJlfIEaoovLFFGsX+cyA6RiEs1c4kygiu1irkHSDqKsXC3otC5AA/GZl6Kab1EybcJKtJg0jATgIGOUwglKByC9OAuaGMKyzEpzeiKj2hi6wAeMV0lH/qmJeFSTZKdMj3hOhHiBvUHbxI6A36l8NFmGsOOWhZIOdmFF260dVg2lY1smD+28I/Maq638AYDDPr2KmsUN6t0eqRz1/Cnl8i1ZeUBCxrnFTtUCWqhAAkdi0WRuBsyg33+QHT9bXK/8etnjpe5fnbz8v7zVjarPSb8f8YGB49+IUGAw6/4dPNo9bPX/TB9IV3/5RAs1aqaq+ESAwvvzTOfD6q+OGXdl2rsgnaHSPCsAUtmtY54Wt6cOZbTun/bDM2H38nutULQXWC9KOM97o4tn77k6zrlULHQAA+E1514s8LC/P84RflG35ObfOyCgaOQCwwiuXij0sACJrO+HVey3nLuU5EW3z3mMn3ye49MkPhX7gbAJU3Kh5s7tS7+r6wMDXhnUSHV328OqLbgBAhUoxSpkqnSBgaT+NSJQE73dt4Am9Jg9Lup51vcSLau++//UpXQQXV+8p8ANwBIW68efxgrfSl05/6o0tGSXCJk9OfLml7++lOR5A4/hpyEsN1nNxx5rLw2fNnTXBs+6wv/XEub3w+DDkfAAAIABJREFUU4u2XCV5C+TQUJA8YNHrTS4cPpVZ7EbVzQaNG6x3Hfm9xs8LhE/IZJN1nrhhWn8F9PaceHrJVX+YvSKEK3s51ODnQw6i7o06cG/QC0co0DQnIcTt4f/wtUVq+8seP8gQhyjdJkbUyyoVC62/CkN8iWWRWI/ZdP1KdHKlM0tAA4MnMOQxGVmxgRFYDYvE9pct/vFSrVDlzMVAR1b7EenAULjPAMoeNplB5rMhiNqPRnQOySd0rE+AV4rVY4z0Uq3LjNRGYGC7GMx7WghPWOIeBedVDPSV7EIYYoCVcBDeApxhGEELEgWEdod128wVSholSxGklV1xL/hYGnOKnZcqqh6DkQUo0tmmvA+8JI15xa4L5V+kIHFeoiUwYr/kQauUKI9y6LGCgpCHZP7uNs3jQB9N8IQ4yBOeXQEJEa8gavCKMmsjvFarfIhVtkvms7OC9jaFHvH9IgjRMfgk4mmXT2TbS0ieMupHK+wnRX4XINKqUQ6YAPxmZagmjrThSDYOGnICcBEqKMhddmUv2msBYTerTIbbfxOFM1zkFTt4lEMW2IDxCuWof1cxL2vSk0IP4KluxWNOLFdl+DvUXW9DsisoAlqgZUBEoRggSr8giWVsOOWqeAAqoDe41eAUyEMNRE0K4ylBmlfa0ynCCMsqJVnpS3teFylgchROc7HiOSvilloieUnHTcq3AETtxq/7bXhc2X+M+WzrGMid+cjTy3MpoPI+e32sfME7k1Z8JKNMJ3bNHfDezTdC8+rFJTC4odajE56acmPm2FcXrngbBfAaLx47UxxqSvpyNj49WblywqtbBikFAJTbknvqUKCvNoPiydn2wmtpf26a+/V/Lvb9JNtTa4F1jTCx4/+pQDNwwYFb55GtG4cPGHPKw8/zPIn2WKhYrW/3+JRRE7QCANeNP/d/+Njiry6QIZpA1HzalxtGys2Xzv614a3nP9qdaS7bYUMIpQhh/JVfnkGTNCquxSkAVByX1n34hLGN43BgHQV/7Fve74OtF0kAzqC4z61+4k1k+fhJe4ZJAfwlWb/PGrVoWwkDGE8N+akB5JXloyaK50+Z9sWmBeC69PPqx2duL3vGgqdADg0x1qft8ebiV1KkCIAr98TeiS+s2FvzfZzhEyrZvHlHfzP06285fMxAhd8r6gRUg58PuYi6N6Lv3uAXDk4QRtTNi5RGcnScRT3bE4xus2qAUSoEOl9qWaV2hHxejkW9O/WlJquqp1VzPwuA0AUSy6mKxUYwNVjUsy3BYLOoepriHwUAhC4mfPZQY1EC+1otOsyqHOlCMQAGYUwib8helfELHBvjBW+Val52kB8q/H6+AoO6F6EOaY1Ks6qvKb4fAFvJLoRFUFr8qFEhBQBgrUL3d/GW3NqMVQbq2x3n0loUzxvAj3v3iVy3fmAZ8e2NcySY5ekGOYV5fxK5LmDAolSOiOpo175mB0DoXKl5pcp5M8o80gYAANgSme2CXXuPwP57qOVuuHYFIlQCBFaDX9qQQuunGnjKpnrdiQKwdqHn+3hzyFdM85tEXBoi1NH4YqdN+ZBL9YIdAQA37v1NWCnKgRKA36zkaOJOG4DAycZNA08ATtVDBIWliUdNcimwRsK+VmMrqP00DwRHlEMX2EDx4nbUv62YUyhlQiRPlOoBGLPQ+7vW+KuECrmCaTh2BQdJtukmOcvnZy+Dvhf49yQV/4qzwOENLjW4BPJRgxU+YkjoxtAlQt8fmuIDUrLyG8z5XqTAL3T8RMif9VK/yciaR9LCAOkguZtPvxgxYsSIEaPekHri5xjw/YnFPwvqcqvmNlEj6tSnXQ1tLKFPM6dEdDix6Mfa6VOfY8WoDIfn79Rkqzcwv2JakbJUV7iWiGynvuGXyoavIT/uVLv40fC9UQsNkcaWxPE+x6IEhzGC7YM1zySX/SMa70GPESNGjBgx6hL0LichENgiPCl3p6oRderTroYxFot3scrlAl8Jira0SySY62Jt9anPsWJUhiOj7tRka/g0/FLZ8DXkx51qFz8avjf4aEj4hQksIvPJhznhD53LxPMMRWwLIEaMGDFiNGwQhujmRUqUnki2uu9YNaJOfdrVQMZCWFRBE72dcjkLboF7t9Ya0Wuo/9mxYlSGy/N3aLI1fBp+qWz4GvLjjrRLQKpnFMuVAVp8m1JKTgd/Pja63uCtBge8NEQb2ePHujAG8/0RV7o71A86cgweexAgRowYMWLEiBEjRowYMWI0LBAWS/BjgV4cxRiFFN9fTrpd1ag1sQcBYsSIESNGjBgxYsSIESNGQ4VF6GJhnb+073ZRI3pE6zXo9Qqq7jT8/RnpbQgAAFTVadyMt8e1EEVLOqbru3LTF4s7i6MlMEaMGDFi1BEII+ptUff2N6xTjxKffJBFnsQC1IGGKC0ZVqob7GtYJv9TIIyol0Xdq4ElQIwGTixtbmsqF9j6HOtOLeZ3ql0xOLkttwAwbZenJ6R3TcQBAPC4TqNeHNRLF7XzDJgsrXe3tmmS29I1MWLEiHGng95tSll5Q1V2T4bSovsdsmZ0/d9qVFGjKojMJ3vASSjrRkOEwZt5RRq2jkzmsKtux1I79SvzUlfmpa7MSxnhrWkd1taUvLxA14Oq0oTSoh4OWfPQ7g1sF8KIn72RuqhUroumvfU51p1DqAQIB47srV43ONMmcLLVUo1/awJEvaRUKbAAUEfxqjnWnVrMbze7+FGflzZ+1LOGlde5qLTDSx8XXd45Ja3KchrTdHn7s11F2RmurP2/v/dkS3HViEa1V4zagqm7j5j98+9HnNkZrvP7Di5+pqP8VoxDBCW6itRmLFRx/9Sv7dkZ+wcob3YTt5uWk53huvl3fMZ94pBNqKLt8C92/WrPznBl7vttweDWknJ5mH7I4eyMU/9pLAAAkPb64KDr70W9JbUwmEgd9tbK43+ccGVnuM7++MuCIW2lFbpzBQWRNXt8xZa9xuwMV/aRM19OHtxIWCsNeapR9gFFu8deXfvVztxzpwpWdZXVXmBgEOndA5d/tac4O8OVfbrk0NatYzqoarfhxi/Z6mo6BMre4Erw8yGnyGh7o07cW5tLACO8z4OaJK7Sf/buooGoEXXq066qY9klxsWJRcviHZaAH2aROD+GMoKEyN5NFnismyAMnkgB4RdIeUn958eKBJFf+lRJ0gd5qSvzUt4tVbXnuV6qK0IkQDhwZG9EiX0bJVvDpx5KSt3E67anql1yt3ZmfvkW26xibT83Huix9tsXNMWhez8vsW+wshZxlEMJjKQXQcqfK05enpe6Mj95klmWGHCRX1VDlJaOKmx0c1f0nVJ1Fz8a1Qwtv/sS6Do+NnXy2HHdtAC5VT+Q+tpnn8xscnzh1JXnFb1nzpjzI17S8Z3jVrYOesWoNcK0wUvGts7e9EH6eYu09aD3Jr+9i7zcZmaGC7iDEm1qMxYi6fTa6l0jdNUeuMHECgl7acbzs/bbWABg/dar3hBNmO7RLzdPu//MmpfSjxiTHpw5f9Y+ian91EMmBgSaJvEAKY/3bLTu+lVhi/SeChAnpcpQcPO7gABQNE4Y9nz49qxCf3yHwXMmzNzhuthhYZaHMyiIouuKLfMGXlwzeviBfFn7MXOmbV7r/r/HP88i+WrISw0AQCQtx6/+eGbahU1bN47/5Fp+4RV37QQGRdzuvY3zR9l3Tx8796QZT251byev1cPX6wB8k62OpkOQ7A0GTx9yEHVvRN+9tb0EEKS0DUMdllIUj87Ro4GoEXXq065qY9EoVYQCBrQ/4KcR6rDuxhWaLeL1eudgdjG44+MknxrxF0fv3qo+xwofhCGeKtG0Fdo2J3gsjKi3RT3SwC7W24oazLInRAKEAUf2RpbYt0+yNXzqo6TUTbxud6rZhTO4hiV36yx5LJ7mVvQzJjZXF38q9/Oebg0GRO6TPmRT9vZiAEGtiSTKYQkMvxdKS0eUqO8S2TYleFyUpL85bjxDL9B6qt3pVdeQRbU0cl1dukPECGhhe7v62WKcSjKcxsLWKARlWwBEs0mLxnY/+1X6tE5fLE6t3C5ulT65g3v7qOkLD9lZOJYpbndm6ujHlv+1pZSJei9OUHmroUvnv5reToN5ijKNWoD8Sq2ifsv3WlUKAWPL3L9h0rubjtnKlhR446eW/DCjd5oUBXBdObZr9vTV3xSSAIDpHvxg2bgn2jZJlKLA2DL3b5w6c+NhS42FCJ4wdPHmTX0uTRgyZV0uySEQANV1HzFr5EMPtG/aSC3GAajin9Mff3tvnaywg0LmbHiwxwa/nwEAOHTG17XX5nvbJ+IZORRnUKJNLcZCEx6euX2UZ87IpYP+t7DKIRWJmvAUnMm8fL7G8ihIE6rrmd5PcmHyO5/vKmQAMl+WdLk4d2T/949sLmUEmlTp9QMntY8+ov96k65/T+eR40jj5hocSkmeNlOFX89bUP7vY5clDz2wskOaHMnysJxBadrnIXXRukXrvskiAS68sbjvsFXd28rXZJlYnhryUgMQWY+3V7yFfNq9345sXzQEBkeg79Rb5/n+rSWrj7oAAE4e3xmBlwPAL9nqZjoEzd5g8PMhByHtwhMHbNgxv79lyxPpK4462JC9ou9enpeAm6CpTrEYd2RUeYku0sqYtIxBMWCKJPbtcfarFd4XUJJ+ZlUPLy5C6OsS+zdqxzUUAJBkW/woOxHHsibCncsSHX2oXWxbr7HnowAAGE30sah6u4UyYK0i149xlr8ELBtKDYKUDTEr7yUxFKGKMAygchSDaYjEObVjrWINAwCMkXDtibOWvR8YpcVDTKq2pEDJAABTJLHvjLPn1MwqFuto1r/oIbfpjcdwlkMgAMi9igEOSXOfQM0gKACDudclGjOryKxul4BUTS+WZiXc2C5iARCdXT/dRn2ebLiAAgBIfPKhFkV7EsMBaJS6qjCsUZTfUPIYiwO1Uz/bXHZCijmtK9xEVOuCNLUmzPMLFCxrJBzfaGyZWLUPBBhL6dTPLZcJAPQh/Y1dQhYAbV+aPNLvXJZkyS9bpzHilwvjU+TF76v8Os60iXwsCB4vDjVIP2eUgyHwS1oy1FGV/YyQBSB3seJORiKJsRWFuqEMMokAuKLMpSHC4q3tqodd4sYUAsC6BO4dOlNGKDX4zUrOpsBpw5Fs4c3KBpoA3AQLCkqLhxjVHUlcygIg1FWp/RuVMz+Cw2rVvMG/9gYrsJzFIRxH/VuKeZmLioW+HNSXI/bkoPqJVnV7SelJ7Payq6Z8QR+zsqnQsV4jes4U7FxhTW8EVyMsgRGoIffKWrHkjjjb3ziAiDSyxGyzojXt+atK0QsYL9aNk/lCBoC8LkBb3FB186EZEkbhSphjwn5KLNonYAEApWRTbsRRmsIPpXQkVaDMrd6sd/s90vPNTb8VV1tdYPpOnROp8zsv6qd/90feZ48wxw5ew1o8chdRB724wHQPr9s6/RnBgWnjJjw775tMf/VrxdW9q158Zewzs3/y95m4Y043VfkOK23K+HbOlNf7Dh3Rb/yXl1q+8NVHQ5pgAACY7K4HuzY1fz1r6Mhxz8/fz/SdsP29XppqSSZMGb5k44bel94Y/ub6XJJbIIAg+YHhI3tg+1bNTX9pdL8Xx7+44H+nHbWqyLxgypcTAICp0+Ix17VcEw0hghJl+I8lSBm0bmGHfVOmrcnxVbu0K/Qq3OuR6TSy6sEP1oRK1BJgnCXOMocwxsyzRWhql2QhACrVxgltJ9f+pX26Z6O2A7vYd++7QEqTFdF4LAVXtOjz7CvNfUf3nLWU2xAsKP/P3nnHR1F1//9M2d3ZvpvdbAqhBGkKiIA/pKNgAUWliIIFReSr0svziPrQxAaKgIqNJiDg89BUVBSx0EUpoZjQAgGSkLK97/TfH0lI253ZnWxiwH2/+AOYufd+7jnnnpl7984MULbcAj5t0L2tNQgAquvUuwVy+XCOj4+DwlhkoMl3/mdEKm8Z+f0fR/yn955YM314M3ldKhSAcZzP9in7PHbnTURcfgeRFmz1MhwiR68AUmwYGfF+Ec16D7CgRNs+vZLxKErVg3klXQIq4eQ9QqhNHbBWDx+byrU2uXRVkp8NGsY5lGVPzCCcckSJuT9L7jCXrkjyU0Hj5FJdCg8AiI5SGGWuT1IcVyh1J/CuTHbbQ4YRARwFQDjF0BLLPQy5I7nkw2TnKV49qtTYihORgbKqJ0uTukLwa7N1tdFfhNQM77AKAXi/wvedqfT91OJlZk8xpX3GpjGVi5e1CckCGvtyi/VzY4ALGMY5lDX3D/P47Y7U0UF6W4rt9/L7hogVAiCGoLZHEHL09lWW0mUW61qjt+atfATzhodXPGw1tkd9Gywli1NKViV5jijYiuCNc1tule3ttKJ3k72OCCcgaOhnk3WFyVNK68aV6jNqjMBwbXlVtrfTihakFS0y+31VTs1TUxyrbF+xjVNBqVrx7F8qmhYMG0ltQWR/CcgQKCUEg9EuwNsHZQoAALRJSAY4WSw2l4s8iEDQy5EV8ng3W+pzboVf5VqfXPppsn27Nig6pZQ2KkUPhQ0bgWCLalQ21gAQIrJTEE7WhsRdWtunltLPDSGZP2mqVZsc/b1tTWtIzL0CCVYwOURhqH9oMueuaH0lvKIbWbm3/ProV20Qanta4Xsmz9maK7/C1ogsI5oKY5CByFgUgPNUdMQnJ92At6jxfIHYBZEHjqmYtXsVgULAO5BY2T8JWpkK9CkFF+Ocs+ImkOfDFsSTMvTgPmXl9JlNCBOeqnAX2EHdxCRHIMDHuZSQyuYPjH1AdWryC2+tusoBHMoxD3p0UtUTyHM///DNPj/A0aLW/fc+PLAjcWBfEAB434W9Wy4AAMDJnCuWe+9/pXc71X8vectLXTq4+8f9fth/5HKLvvuGD+xA7N5TvvsZUF37qSsWzW+2Z+zQ1zflX7tVFa4QwJ29acvOPxrD1yERddfn35jV7OS8Cb87eRB1SlyR2hae8cw70zK3T3l8r4vV1jym1QVL8Hs2/jQYgeDZX9a+NHvlz1ZW8BBTdPhwETpi+lNdDn2WZUV1LVqaFIArcQQAM6TpMNp+8H/HXpkxaoLOv3nS5eTh6kx9HZcA8JZj1p96tS0AOH+Z/8T/8mvuH6rpFGAKt7/weo/v56zP7rVrp7Pd8E7Z055Y+RcJdVMYswx12wG3485d3634ZH+eT9vxuddmrVvL5w1aciwksUIBePfBKeM+Wv3+Gyf3P7F1w8aP1v/0h1XqzgsAqcFWD8NBKHqjIBYbCogQ7Zfv2Adj3rF29+xafomOohRbH+aN/RJQCUFpbuaYPaoae/n4UlXgJMEBkG5aNd2vSueDuQgY/fpuLPVVimMPzgOELmLYrFLdAMq7UQEAwGD0ZQWplMEtGHVRSRtlhkEUhgOjDhh7csE1qc6TKACQl2Ro66v6XpTrPMFFloEkBfQdOHKT2XEQB4BQMafq4hZXCACkLJhV9kSmnHKwqg4uZQrntVfMo+xEMIfggAg5GOUMvzqdD56vuD9AOHl/q3kwE1yf6jha5XcDwQoBMOqoJnApwk1GBPOGB+ExAwd+eegcQfoBAMiaZ8SvLQ5lSlDAgI1wMn9B595LcADBXBybVaLpT3rWCfmrsk4AkPFc1WU3H+HLA1PnIL5LRrOANvcrVZjvsIwHQCBy2FCS2oLI/oosQ6hUGXIOLbtU8MCH0PLxxuG+jUZigjN1diiQg8o7k9SWFPfVKt4JWyryIKoIuQhejqRQQeofDiKnTUUr1Wz0e64MUkYliB0KHzaiwSYwKiO11cABIEBYL4s5hXcSoTMEB0QoF0dnWfV3U74vFVGl8bDWiD338gIJVthfoob6xyZzFqUdCJLEYChw11G/wiIai2GtISBD2j1KhFK8hwi5QTPAq7ikI72AmmgMB6TGixiE/SVnFV3d+gwgN8s5HoDHgkfkxof9Cq2GcQOSElTgmP9cTAsWAJVLACL4j4y/+/65dEmx+qEYKpdWKgyKFl0zoHDjHzbR6wVddNYKulSDDCAIAHhan2cWTh02oF2KjvNaQ3rAfUSYFEkXnbGCxqyvdIhi0KLPBtEHxt07d1Nx1UajrPDvBtX1nLhs+3j158+P/ehi9flV3JwSBbG1haYNfOm1zN1Pv3jcEyaMqdOfjW39GQCmbdVj2JuLpn6zmuk6bNUZWuhQ4NQnTy1pvmHaqotTAACABYD8Kx4WANNZ1BhDOk58fbDp8setS+fnh55kUa2eQMFTh43gTP62f3U/nt6688AZ0+fs+YDuPuG7/GtX+7BOQVUZmU0UBb8s++6MsVdrJKn76KEdt7532MHVRWGsMlBtmkUJeZu/3LnXBQDnZs7tOmTtoMfbfHzsJCmxX0JwjiMrh/Td3P6uh54fO+3X8RO/mTP+uS8vBsQLCvI35yjh6BUtHasNxRDoF13844olP8Za6m827zXQTB9BCG0d590yFjhMyQMgqJmUAe7NrbguBuXBq6BuSmKYonIMXauILZvhAZIcwlFO/mxBtYcUSBZBKk+uLQMxkTjg3kviD+lVVQgAiD6kHeLStKVxJXBeBAWeDPeKJt5TrRQAIO3tlvYQ2pBuP1qt0SgrDIuoeatrQoPfGIMvOFPe8JPH1P4DWn8eFv3qTmxtRQ8pCxaBJp1CMeLaXCu2tjgsdIDgR/uVJi1t5RU9g2ip1n+1+v1orbC5Rqz9iugvQRmCXuaI0YWWDmXty1xvpXoqXn+FGhkcwwN7VJQqJEM4ortfcdwQ8guVEhhEjOB2pUgKESMpVwF5SBnD/F/qqLyGuFPChY0otUdlVG1Vpx4CQIDwXo7BKX5FoABUzcQDoAwha8SUe6NOsDUQNVQimV9f/ZJGWGs0nAxK7l6jl41xp8yvXEtiHNWf2ojgL+Rma8bSsr9ioV+T7YfKpu0Ic0JDPezQtGX9f6J4uxDqUwZKYt5ZK7IEwDgK3KBPM8t5ylVUCKDIyDCB/4idEowpaaWE4HkeAI3mTYgswwKCYggAgDzzia2rJ1h++mD8gkN5QUXLwfM3jA1fiuM4AKSKO7hT235Ahz2weOGTOeO/OO4vFx59hX8nqOHOmSu+Gc0te3bMnIOuihwdf6dERlJbqPGup/vozfD1kcGV//n+7vy7nmv376OVG+dYb+7+dePn9bjvwwcGZ6w9k1dlvaz2Ic7z+8fjb1qpb5KqQwPBFlP/+8Ogv/YVUABqtUnFUwzrz5o58vEPycsXqZQQg6j0CgygLs+C0+6CU1kFp7KO7LdmnF885pGmPy65xABEcgqi7/3SmifZt+55+cPLDKxd9/7QpUffmTvl22Fzz2B1URijDJ6hWABNigYDFwsAlPWKDfo31ePXftaLscIoYN3ZP38x+Zetayau2Tdv7s97xqy+Ks3wjSNHRRm94ctKtWEY4m6NxmHeChBO0SOIWnVCW8d5BKoncxF4hK8eeQgAAphvdbK36nuDKazyEbuwMviKwlG0WKkQo7XjSg1aleu/xpAdQcwB0xiPQKlq9Req/ahP/YhdV2T2FFR0OPoKaxPJvDwgEe4U+Kta63yV4la/upvPONljyDGWrNHS0SxiReNKqVSdFkpriz2rDZFWTVfGu4/Wtueob9V0jYFZK2wktiXor4gyRLyMUt9bSveWPdOKMq4KJcqg8SkvvzPdvhvnQev9zW9+xZ50l6rou7KH0iOUkoaAwrJIjjEVSByVooeqnoXErCrMqGwUASBABC/H4hSejy7RgZg1Ysm9aPQJtiqihvqnJfOqYJzMyIMbZ7laH4hvtP2SRlhrNKwMLk9fOleH6lkUQXizO3VCgLxQ5Ud7AX9dMpZsIjgKZR0YV3W8uJXeC4ipVxDPIoiODHdaFdWVtzoiN0ps8bGjRXj74bfqEAAAvGmfvi3Ysz9dCNVDKQFCFw9dgow+dzeJbYGGyOzRAXI/eOeLbw6fPvnXif3ZkZ4irA195ccF/Ye9e6j9tJ9XPnNbxZfk6lBhg4E3H7Fw8zPYJ2P/b3a16UTcnSKApLY41/fTR9wx+NHyP6MWHwc49c7Yu9/Lqf37MFrxkpLa1dQ+xFPugiuFrqaPvvuo6cJ/v/jTDwCY1qDgSJYHxnHx9MnCAMdzJIsQurht6eA5ngcEL1+1iuQULLlNK12wINtetpDBFGcdyQdTa5MsXgqjk8F7L2YXQ/P7OurLHv1TN785HUpPlYR5D2p0FUavL3B6z9FiNL29WfLaaxTBhqfc99zUuY91qPLpwXgPh2iiN4wMiIMNqxF3azQO81agJDXteOaIKppfnwCAsyloYIhWFd86VlLKdODyK59XBwDupCX/FXOIrFqKoIFVpCNMsYy+9qfqgn04GZyNoIFRtovxK2syhkgHerfBe1JBFcrJC7LoQ4B3qpxLU50XKcMUq+7ao+91qDC8eVmUCQCawkRcgWcw8pjO8Wl64TItf4vL2Ca6pTwhVyLAAqIM90FpHuEZQNSC35pWUcom1b0cY9gAAPgJz1EM7+FV3eEheKXnWM0lkNphI7EtYX9FkiHmZa5IETpHhM4RofPya08oIBpapkSYovLJFO9RkA7ALBwiWCqaQRRTv3iXnAqAonsIi3gtCxMA0kal+KFr1A6baIKtNo0jAAQI6+UonFKBglamA3dVHtVeCUFrxJR7xRNsWH+JGuoflcyrgzTxaVKR0GGxB8gbVb+kEdYaDS+DRzgXzgQZzVAfZtNUvlQ1ksKyQkGcviqjbdXn/wDAYcFflFxzr7pVUJ2KBv+QS/gVrTyhIEpL85ZGmaaZTgZEWsvWHWS+orx8Ow3BnC+XHh+xcNEb517f/Je276wZrUu/Hv+9lauPUpFh87//eP3EZa+ve1e95OvfS6D1LYbqXwQID5l/LBdefH7iiAubThWRsqY3GwDsUZuG953eOGokt2nrzO/fs/Wc9O1lpo4VNgjqzrP+1S244z9bHZZb2loAAIB3TGr/AAAgAElEQVS2X7lcFOQFnRJnJLXFuvNzK/fI6Jp6AbDCC2eLgzwAouk4+fnbnafOXvEh5jb9Jky7Q3b24+8LaRA8BKiyaZvWNzW7qfudg18Y0UVx4L17lp0JAAAq1ytRxl5lBwHP0iyi0hOSv7WBp/SdNiL9cs7lkhBqbtXrxendZGeWfVtAAwg4hbn6x6GCl0YtevWRf23IKpG3eHjKs+3I44tyg4AmSVMoSQYfPLNl+bmRc16bMzm4ah/dfsprffGjCzZcpCRXKKBQ1uT+BS+2OL3vaHZxADW2HjJxaKp//2+1Xi8QPaLBpuk6Zc3MQTroFzz86DsX6ShLxYhQ9ArIkGZDAeJujXowr4RLQBlopo+Q457oX3ztVLv/9CQPsSYh+oCdU/R1qZVy1y9ykR+xnCrXQbdlYIlFq/flyFjg8BSOOqihKhYwwstwqtx/upMfLDXLDb48DCxUjZdIh4fBSSvoe7s1Vg3pRhAjjca0D4mUe1enwHPFxvE2dpHZ70DqUmH4fnFY6JgcHnIm3Qe+ixikVukXwhH3uwgvESrAOY6TtaVQQNhAVLfNQq5kUaoUQW7x6G4Hkmcxn9J3tiLrcRhVgCJd3fo7IESxWEjpP13+QwqSFCLaAaekVXe51ES5l8XbighC7dXQPd2mB4E9kBIU2cgTXb/CIuKvCDIkeZl3EyGXSzvMpdmmIT28rJNbl4qQP8tECkYeRBL7RSrcOwjVI7bUcTrPEQXtB0Rd3cthA0DaqBQ7JBA2AsEmQGMOACHEnILc5NH3ZUNOkPdwaTS451dFNM3FnrEje1k0wYb1l5ih/lnJvOxQKiUPAt4soHvAh+UZrMfF7nobU78iImNlZg4UDIoBoqdl6Tznxhl/xQNQYa0hLEOwQgkyECMlT2ZkmSF1H58CI5wf6qkqP9pLukgBl6vzOYp1T7iQgNoZy0c6rlG+BKC4ddKqX0cmlf1j/Kcbx0Pe7HsfXZzHAHPl0xcnaN98ZeqSDzSM/fC21+5/49oXoeNdSqCjrgOTH5l+dfaE599a8jIKELKdOXiiWGxIkrlrH52mXzr5+Q1D9DIAJuDMO7o33E+bEQnmbnrqhcw/1r325f+dGfDx+WCdK6xv5Gmd/58BTIPf3F25H9m1duT9448GBZ0Sb+LdFqo0pt764PSxk80yAP/VP3a9/8DCL05TIodA0Wbm52vGaB1nT/655qUnP9ie7ShbYUMIvQLh6Kofz2ApFlXWYRcAqkzK7Dly8oTmSTjw3oLfdy4e+O7GMxSAoFMCp5Y99G9k8aSp345QA9AlOb/NGbtgUwkHmESF0mQAdWHx2CnK16fPXLHuTfCf/WnZg7M3l41IiRUKKMR40tz73wufy1AjAP68wzumPLVkR+3vcUaPWLCFrhz41TpwkHPfQSsTfam4E1aGNBsKEXdrxN+8Ui4BULZTLoSUxrJ1nEeDm1NsAYfhfptaDmy+2vmh0Sv6vByPhramltpdhj4uUy8eAGELVM6jFZONSDJ4NLgpxep2GvrYk+8DAIQtJkiPWFuMzLPSjI5w6cf4UQyAQzi7IiRaqiq0zLs2WfZSqelZL/W+jqalVhjRvAiz12zTOwwD7MkDAfgq/UJ4BGWV99l0agAA3iUPfJPszKtLW2Wg5PYkv9mpe9IKNB7aqfBXvmAZIXckeVMc2lFWLYOFflT4T2PAo0yugunsMb/gAUDYPLVjqcF3zcsSwgYAAPgSjfu0x3yzzPOb2HQ32n6FQywAwsuQFjaU3PWJCR5xG170oQC8Rx78Ltkh+olpaYNISCHCHEgu9rn1d/sNT3kQAAjgoV/lVbwcLgCkjUqBQ8JhAxA+2IRp5AEgKF3EKTxL3GfXqoG3EZ6VJndB3Yd5OAS8LJ5gw/lL2FD/tGTOoIwdUT1UmgrAOeSh38y2X1SM6Aym8fQrMkgTt2Wqr3x89rWm9gX62/TiX3AeBKwhJEOoQikyePm91pQeHFsiJ383Fe9WU1W/YC71IgW03PsjoX08xPyqoWpvSYsC5DZVKynlEiRIkCBBggZDHUyeZ8V3pRX/JKvPpZrrREbcach+Nba25KRpXoliX1rRD3XT05BtJaiKgOVv1GBrMDBaN7NIX2opXEnEtlLf+FNl41cojRu1X9Jo/Naog0KkuTNtEuldkOK1xbB8sPyxJmV/icd30BMkSJAgQYL6BL3JR8hk7hh3yt2oMuJOQ/arcbTF491cWq2MLEHRdh6VCvOfqauehmwrQVUEIupGDbbGT+NPlY1foTRu1H5Jo/FbQ4pCgpan8IiG1I7wwe8Wv13iHorEEkCCBAkSJGjcIBzRI4SU6IOxLHXfsDLiTkP2q5G0hfCojiX6+bRaHgKywHazK6bPUP+9bSWoipDlb9Bga/w0/lTZ+BVK44bsl4wyzirW6sMcIddllByL/HxsfK0hWYYAkhSiTT3JE/wYh5G/J5VuF3uho0DjiQcBEiRIkCBBggQJEiRIkCBB4wLhsRQaC/fhKM4mZ6S+Oel6lVFnEg8CJEiQIEGCBAkSJEiQIEGCxgqPsMXyev9o3/UiI37E6zPoDQpq7DLy7VmjOhAAAKihy8RZL09sq4hX7ZhlwNJ1KxZ2VcarwgQJEiRIUE8gnKKf09iPbly7HlWkdohTm84D1INClFWNKLUMJRtXl/8uEE7R12ns28gCIEEjJxE21zVVE2xDtnWjJvMbtV8JBLkulwAwc7dHJ4/qnoYDAOBJXcY+PaSvJW77GTBNZr8eHTNV16VpEiRIkOBGB21lz1h61VB2T4ayil5eTWu24W81qsmoDqIhNXf6CH39KEQ4vHVIYeLrqcsC/arftoy+1KVXmi290mzplYzRodq9wzramywusPRmqh1CWUVvr6aNuHnD9wvhlI9fbbagVGuJZ38bsq0bB7EAiAaB6K2ZNwTDJnyw1VHGPzUA4p5SqiVYAKgnf9Vu60ZN5tdbv6TRkJc2aTSwwqrzXFR92zMfFZ3bOj2z2nQaM3V7+dNtReez/Dm7fnvj4XbK6h6NtRRm7Dl67k+/7fedz/L/tXPPwsc6axOT7fghaF4RV8ZXSF3aQnW9ZnzpOZ+16379tWLKW2fmns/yX/tzaNYdStFDqK7jyBXbfvGcz/Jn7/z1zaHtVeX1YanD9p3POvp/zWUAAOq+7+7xH1/QT1WHDhPNRry09NDvh/3ns/wnf/j5zWEd1dHEPKJp/eCSDTts57P85/ef+Hza0KbyOimUKKPsBN2tDzy/8outeaeOFnzYXVP3CsODqFsNXvzFt8Xns/znj5Xs3bhx/G2GuuUAacFWX8MhXPRGFhH/fBh3azSSCivh5HcEUbvKX/r33l00EhlxpyH7Vb0tj8q2MK3ovWSvM+zJPJJEYygnS4nt22Th27oGwuFpDBC0TC2p1r+/rVhQ0OpHStLfvdJs6ZWM/5QaOkmcL9UXIgEQDQLRG1NgX0fB1vhpgJRSP/667qneL23APDu/fIltTrF5YAAP91j79Qua4bW8fSVtQKS0FrOXxSqMpRRBaZ8obrL4SrOl+U2mOjRpYSf51RWirHpsYdNrq6KvlBq70WhcI7R82i6zdH5gxrQJE3uYAfKqn9DshU8/nt3i0Fszlv6l6zd71rwf8JLOrxxy8RJLyTOHvjOh/fl17476y6luP+SNaS9vo851mJ3lj2ev/rkImVfIlfGmLm0hqi4vLNs22lLjgRtMqVPxZ2c9OWeXmwcAnnZdDIkcwiz3fb5+Zq8Ty58Ztd+Wftfs1+fsVNk7zdhr50BmapEMkPFgn6arLl+Utx3VRwfK9GYaFALSLiAADIsT1m/ff3lOIZ1829B5k2dv8Z+57a2coKBTEF33JRvmDz6zfNzI3fmaTuPnzVy/MvD/Hvwsh5KqUJIMAEBU7SYt+2h25ul1G9dO+vhSfuGFQN0qjIjy1jfWvj7Ws/3VCa8dceBNbrm9S8gVlGp1AKnBVk/DIUL0RiL++TDu1mgkFVaBoNQdOGafmmGiLVEvNBIZcach+1WjLRZlilDAgKXDno0w+yxXL7B8kaTPO0fqF4d7P0onjQhdHL97q4ZsK3oQjnikxNRR7l6fEnRyin5O4xgrvzDVXdRopj0iARAFAtEbW2BfP8HW+GmIlFI//rreqdEvnMNNPLXd4rzC45kB3UBbWhtj8SdaWvJwazQgWlJ9t1vfL4QBROxNLF6OqsLoS6GsenSJ8SaFe11K0M+oBjmSJnHsm+ZgjTu9mgp51Mwil42lWxScjJV38hgfL8aZdOsxLGpFIpQtARCtpy6Y0PPkF6NmdlmxsFnV48pbRk27LbB57Ktv7fXwcDBbeeuJGeMeWPznhlJOWikqd81dvdfQNAcAsPcE2b3v+ts7peFZuSI+QbW3DF/0+vOjbjVhwaJsmxkgv8pRxcDFO1wGnYxzZ+9aM/U/6w66y6YUePNH3vl+Vr9MNQrgv3Bw29xXl31VSAEAZrnr3fcmPtSxRZoaBc6dvWvtjNlr9zlrTUTwlOEL16/rf3bysOmr8iiBCgFQS8/Rc8bcfWenlk2NShyAKf5p1IMv76iXGXZEBMwr5Mp4U4e20JR7Zm8eG5w3ZtGQ/71VbZOKykgEC05kn/ur1vQowiHU0mfUQNXpaa98tq2QA8h+VtXtzGtjBr29f30pJzM1U1/efcR8372pX66zDOrj238Iad7GhEMpJbHPTOGX898s//vBc6q771x6W6YWyQnygk5p2f9uY9GqBau+yqEATv9r4YARH/bsqF2eY+clKpQkAxBN75eXvIR80nPglvNkPCqMjCy1Sz9L8LuX3ll2wA8AcOTQ1hisHAZpwVY/wyFi9EZCaj6MiGi/8LT712x5fZBzw0Ojlhzw8qKl4m7eOlsebeZTKnFvVrWP6CK32NLf41AMuCKVZ3OS52KF9WWMaqDD0DuEKxD2ssrzldF7CQUApIk7eayHSOJ5OxHI44nOJOpRulebPPkoAADGEv2dhn4BuQZ4l8L/Q5LzTxnPi8kgKM0wh/52CkMRpgjDAKp6MZJCJMlnnuBSmjgA4GyE/9skV9n3gVFWOcxu6EjJ9BwAcEUqz9YkT27tqOKxzo7Up4PUplTbQZwXqBAAtCHd/V5VG1Jm5BAUgMMCq9Js2dXqrNkvGWV4tVidk3J1s4IHQCye1FfdzGdNrKdRAAAVqR3u1HWiMByARZmLOutyXfkNpYS2BDD6Uuc6ynZIcccsheuIGkWQlq6U+bRMx/M2wvuVyZ2N1TghTFt6X+pr5XUCALs39eo2OQ+AdiptMob2vZfuzC+bp3HKZwuTM7TFbxtoi2DYxN4WRPaXgAyKFvRyJGS0qh3HHDB4Tsh5AGobr+xiI9I5d5HYDWWEQQQg5GUhhQiPt/cY7vErmzMIAO+XBbZY7FliMqSNSsFD4cNGINiiG5WNNACEieQUlFUOsxk7U7iaB0CYi2rPVwZffgyb1WpYQ3rujZRgBZNDNIb6pyTzMhMVy8lclMxVBnPR1CkuYydV6RHs+upX7fpl/R36lnLvapPiCXukp8JrWyOyjKgqjEGGNqS5hae2JLmP4wAKysYTcx269mzwz2pJL6y/+ABO5cs5AOqyDG171dCDRLNUnM6fMs+O/ZhWtFPGAwDKaKZfTWJMhe+r2ViyQJlZQzn/GXhvn3+v+7W4xuwCS+3SNY35a+uZ1Fe/+f3Kp/dyB/dcwtreexMhvRRw5fe7AIAZM5Mx/6U8u9hPZpjlnlUbX31MtnvmxMmPz/8qm655rbi448Onn5vw2Nwf6f5TtszrYShfYWXtWV/Pm/7igOGjB076/Gy7p774YFgLDAAA09x0V/eWji/nDB8z8cnXd3EDJm9+o6+pRpDJM0a+s3ZNv7P/Gvnv1XmUcIUAsiZ3jhzTG9v54Wujnhk38OlJT7/5v2PeOmVkSUQyr7BT4ov0tmQZQ1a9ddvO6TOX55I1Lu26VAMeCmosJk1N50c6hKqMKuB8Jb4yg3C27JNFaLNuTeQAqNqcJHcfWfmn+dE+TTsO7ubZvvM0pW6ii8cbJXBd2/6PP9eGPPDtSWd5HyLGPGXLLeDTBt3bWoMAoLpOvVsglw/n+Pg4KIxFBpp8539GpPKWkd//ccR/eu+JNdOHN5PXpUIBGMf5bJ+yz2N33kTE5XcQacFWL8MhcvQKIMWGkRHvF9Gs9wALSrTt0ysZj6JU3M1bZ8tz8h4h1KYOWKuHj03lWptcuirJzwYN4xzKsidmEE45osTcnyV3mEtXJPmpoHFyqS6FBwBERymMMtcnKY4rlLoTeFcmu+0hw4gAjgIgnGJoieUehtyRXPJhsvMUrx5VamzFichAWdWTpUldIfi12bra6C9CaoZ3WIUAvF/h+85U+n5q8TKzp5jSPmPTmMrFy9qEZAGNfbnF+rkxwAUM4xzKmvuHefx2R+roIL0txfZ7+X1DxAoBEENQ2yMIOXr7KkvpMot1rdFb81Y+gnnDwysethrbo74NlpLFKSWrkjxHFGxF8Ma5LbfK9nZa0bvJXkeEExA09LPJusLkKaV140r1GTVGYLi2vCrb22lFC9KKFpn9viqn5qkpjlW2r9jGqaBUrXj2LxVNC4aNpLYgsr8EZAiUEoLBaBfg7YMyBQAA2iQkA5wsFpvLRR5EIOjlyAp5vJst9Tm3wq9yrU8u/TTZvl0bFJ1SShuVoofCho1AsEU1KhtrAAgR2SkIJ2tD4i6t7VNL6eeGkMyfNNWqTY7+3ramNSTmXoEEK5gcojDUPzSZc1e0vhJe0Y2s3Ft+ffSrNgi1Pa3wPZPnbM2VX2FrRJYRTYUxyEBkLArAeSo64pOTbsBb1Hi+QOyCyAPHVMzavYpAIeAdSKzsnwStTAX6lIKLcc5ZcRPI82EL4kkZenCfsnL6zCaECU9VuAvsoG5ikiMQ4KWWKgdRd33+jVnNTs6b8LtTRDXe/IGxD6hOTX7hrVVXOYBDOeZBj06qegJ57ucfvtnnBzha1Lr/3ocHdiQO7AsCAO+7sHfLBQAAOJlzxXLv/a/0bqf67yVvealLB3f/uN8P+49cbtF33/CBHYjde8p3PwOqaz91xaL5zfaMHfr6pvxraxzCFQK4szdt2flHY/g6ZE3zRueU+CC1LTzjmXemZW6f8vheF6uteUyrC5bg92z8aTACwbO/rH1p9sqfrazgIabo8OEidMT0p7oc+izLiupatDQpAFfiCABmSNNhtP3g/469MmPUBJ1/86TLycPVmfo6LgHgLcesP/VqWwBw/jL/if/l19w/VCvmmcLtL7ze4/s567N77drpbDe8U/a0J1b+RULdFMYsQ912wO24c9d3Kz7Zn+fTdnzutVnr1vJ5g5YcC0msUADefXDKuI9Wv//Gyf1PbN2w8aP1P/1hlbrzAkBqsNXDcBCK3iiIxYYCIkT75Tv2wZh3rN09u5ZfoqMoxcbbvNIqrISgNDdzzB5Vjb18fKkqcJLgAEg3rZruV6XzwVwEjH59N5b6KsWxB+cBQhcxbFapbgDl3agAAGAw+rKCVMrgFoy6qKSNMsMgCsOBUQeMPbngmlTnSRQAyEsytPVVfS/KdZ7gIstAkgL6Dhy5yew4iANAqJhTdXGLKwQAUhbMKnsiU045WFUHlzKF89or5lF2IphDcECEHIxyhl+dzgfPV9wfIJy8v9U8mAmuT3UcrfK7gWCFABh1VBO4FOEmI4J5w4PwmIEDvzx0jiD9AABkzTPi1xaHMiUoYMBGOJm/oHPvJTiAYC6OzSrR9Cc964T8VVknAMh4ruqym4/w5YGpcxDfJaNZQJv7lSrMd1jGAyAQOWwoSW1BZH9FliFUqgw5h5ZdKnjgQ2j5jRqH+zYaiQnO1NmhQA4q70xSW1LcV6t4J2ypyIOoIuQieDmSQgWpfziInDYVrVSz0e+5MkgZlSB2KHzYiAabwKiM1FYDB4AAYb0s5hTeSYTOEBwQoVwcnWXV3035vlREdaEKa43Ycy8vkGCF/SVqqH9sMmdR2oEgSQyGAncd9SssorEY1hoCMqTdhUUoxXuIkBs0A7yKSzrSC6iJxnBAaryIQdhfclbR1a3PAHKznOMBeCx4RG582K/Qahg3IClBBY75z8W0YAFQuQQggv/I+Lvvn0uXFKsfiqFygVKorufEZdvHqz9/fuxHF0UnAIoWXTOgcOMfNtHrBV101gq6VIMMIAgAeFqfZxZOHTagXYqO81pDesB9RJgUSRedsYLGrK90iGLQos8G0QfG3Tt3U3HVRqOs8O9GwLzSXCmN2NpC0wa+9Frm7qdfPO4JE8bU6c/Gtv4MANO26jHszUVTv1nNdB226gwtdChw6pOnljTfMG3VxSkAAMACQP4VDwuA6SxqjCEdJ74+2HT549al8/NDT7KoVk+g4KnDRnAmf9u/uh9Pb9154Izpc/Z8QHef8F3+tat9WKegqozMJoqCX5Z9d8bYqzWS1H300I5b3zvs4OqiMFYZqDbNooS8zV/u3OsCgHMz53YdsnbQ420+PnaSlNgvITjHkZVD+m5uf9dDz4+d9uv4id/MGf/clxcD4gUFiXuOig3h6BUtHasNxRDoF13844olP8ZaKu7mlWh5NNNHEEJbx3m3jAUOU/IACGomZYB7cyuui0F58Cqom5IYpqgcQ9cqYstmeIAkh3CUkz9bUO3pNpJFkMqTa8tATCQOuPeS+EN6VRUCAKIPaYe4NG1pXAmcF0GBJ8O9oon3VCsFAEh7u6U9hDak249WazTKCsMiat7qmtDgN8bgC86UN/zkMbX/gNafh4X/WaDubUUPKQsWgSadQjHi2lwrtrY4LHSA4Ef7lSYtbeUVPYNoqdZ/tfr9aK2wuUas/YroL0EZgl7miNGFlg5l7ctcb6V6Kl5/hRoZHMMDe1SUKiRDOKK7X3HcEPILlRIYRIzgdqVIChEjKVcBeUgZw/xf6qi8hrhTwoWNKLVHZVRtVaceAkCA8F6OwSl+RaAAVM3EA6AMIWvElHujTrA1EDVUIplfX/2SRlhrNJwMSu5eo5eNcafMr1xLYhzVn9qI4C/kZmvG0rK/YqFfk+2HyqbtCHNCQz3s0LRl/X+ieLsQ6lMGSmLeWSuyBMA4CtygTzPLecpVVAigyMgwgf+InRKMKbFSqOHOmSu+Gc0te3bMnIOuaLItz/MAaDRvQmQZFhAUQwAA5JlPbF09wfLTB+MXHMoLKloOnr9hbPhSHMcBIFXcwZ3a9gM67IHFC5/MGf/FcX+58Ogr/DsJb15prpSGpLZQ411P99Gb4esjgyv/8/3d+Xc91+7fRys3zrHe3P3rxs/rcd+HDwzOWHsmr8p6We1DnOf3j8fftFLfJFWHBoItpv73h0F/7SugANRqk4qnGNafNXPk4x+Sly9SKSEGUekVGEBdngWn3QWnsgpOZR3Zb804v3jMI01/XHKJAYjkFETf+6U1T7Jv3fPyh5cZWLvu/aFLj74zd8q3w+aeweqiMEYZPEOxAJoUDQYuFgAo6xUb9G+qx6/9rBdjhVHAurN//mLyL1vXTFyzb97cn/eMWX1VmuHrJ0fFSpTRG76sVBuGIe7WaCQVloNwih5B1KoT2jrOI1A9mYvAI3z1yEMAEMB8q5O9Vd8bTGGVj9iFlcFXFI6ixUqFGK0dV2rQqlz/NYbsCGIOmMZ4BEpVq79Q7Ud96kfsuiKzp6Ciw9FXWJtI5uUBiXCnwF/VWuerFLf61d18xskeQ46xZI2WjmYRKxpXSqXqtFBaW+xZbYi0aroy3n20tj1HfaumawzMWmEjsS1Bf0WUIeJllPreUrq37JlWlHFVKFEGjU95+Z3p9t04D1rvb37zK/aku1RF35U9lB6hlDQEFJZFcoyZVuKoFD1U9SwkZlVhRmWjCAABIng5FqfwfHSJDsSsEUvuRaNPsFURNdQ/LZlXBeNkRh7cOMvV+kB8o+2XNMJao2FlcHn60rk6VM+iCMKb3akTAuSFKj/aC/jrkrFkE8FRKOvAuKrjxa30XkBMvYJ4FkF0ZLjTqqiuvNURuVFii48dLcLbD79VhwAA4E379G3Bnv3pQqgOpfDmIxZufgb7ZOz/zY72fjd08dAlyOhzd5PYFmiIzB4dIPeDd7745vDpk3+d2J8d6SnC2tBXflzQf9i7h9pP+3nlM7dVfEmuDhU2GJHMK82V0pDUFuf6fvqIOwY/Wv5n1OLjAKfeGXv3ezm1fx9GK15SUrua2od4yl1wpdDV9NF3HzVd+O8Xf/oBANMaFBzJ8sA4Lp4+WRjgeI5kEUIXty0dPMfzgODlq1aRnIIlt2mlCxZk28sWMpjirCP5YGptksVLYXQyeO/F7GJofl9Hfdmjf+rmN6dD6amSMO9Bja7C6PUFTu85WoymtzdLXnuNItjwlPuemzr3sQ5VPj0Y7+EQTfSGkQFxsGE14m6Nv6PCyChJTTueOaKK5tcnAOBsChoYolXFt46VlDIduPzK59UBgDtpyX/FHCKrliJoYBXpCFMso6/9qbpgH04GZyNoYJTtYvzKmowh0oHebfCeVFCFcvKCLPoQ4J0q59JU50XKMMWqu/boex0qDG9eFmUCgKYwEVfgGYw8pnN8ml64TMvf4jK2iW4pT8iVCLCAKMN9UJpHeAYQteC3plWUskl1L8cYNgAAfsJzFMN7eFV3eAhe6TlWcwmkdthIbEvYX5FkiHmZK1KEzhGhc0TovPzaEwqIhpYpEaaofDLFexSkAzALhwiWimYQxdQv3iWnAqDoHsIiXsvCBIC0USl+6Bq1wyaaYKtN4wgAAcJ6OQqnVKCglenAXZVHtVdC0Box5V7xBBvWX6KG+kcl8+ogTXyaVCR0WOwB8kbVL2mEtUbDy+ARzoUzQUYz1IfZNJUvVY2ksKxQEKevymhb9fk/AHBY8Bcl19yrbhVUp6LBP+QSfkUrTyiI0tK8pVGmaaaTAZHWsnUHma8oL99OQzDny6XHRyxc9Ma51zf/pe07a0br0kaT654AACAASURBVK/Hf2/lpJdSd571r27BHf/Z6rDc0tYCAAC0/crloqBAELL533+8fuKy19e9q17y9e8l0PoWQ/UvAoSHzD+WCy8+P3HEhU2nikhZ05sNAPaoTcP7Tm8cNZLbtHXm9+/Zek769jJTxwobhMjmFXRlnJHUFuvOz63cI6Nr6gXACi+cLQ7yAIim4+Tnb3eeOnvFh5jb9Jsw7Q7Z2Y+/L6RB8BCgyqZtWt/U7Kbudw5+YUQXxYH37ll2JgAAqFyvRBl7lR0EPEuziEpPSP7WBp7Sd9qI9Ms5l0tCqLlVrxend5OdWfZtAQ0g4BTm6h+HCl4atejVR/61IatE3uLhKc+2I48vyg0CmiRNoSQZfPDMluXnRs55bc7k4Kp9dPspr/XFjy7YcJGSXKGAQlmT+xe82OL0vqPZxQHU2HrIxKGp/v2/1Xq9QPSIBpum65Q1MwfpoF/w8KPvXKSjLBUjQtErIEOaDQWIuzUavsLIoJk+Qo57on/xtVPt/tOTPMSahOgDdk7R16VWyl2/yEV+xHKqXAfdloElFq3elyNjgcNTOOqghqpYpQgvw6ly/+lOfrDULDf48jCwUDVeIh0eBietoO/t1lg1pBtBjDQa0z4kUu5dnQLPFRvH29hFZr8DqUuF4fvFYaFjcnjImXQf+C5ikFqlXwhH3O8ivESoAOc4TtaWQgFhA1HdNgu5kkWpUgS5xaO7HUiexXxK39mKrMdhVAGKdHXr74AQxWIhpf90+Q8pSFKIaAecklbd5VIT5V4WbysiCLVXQ/d0mx4E9kBKUGQjT3T9CouIvyLIkORl3k2EXC7tMJdmm4b08LJObl0qQv4sEykYeRBJ7BepcO8gVI/YUsfpPEcUtB8QdXUvhw0AaaNS7JBA2AgEmwCNOQCEEHMKcpNH35cNOUHew6XR4J5fFfWTsSN7WTTBhvWXmKH+Wcm87FAqJQ8C3iyge8CH5Rmsx8XuehtTvyIiY2VmDhQMigGip2XpPOfGGX/FA1BhrSEsQ7BCCTIQIyVPZmSZIXUfnwIjnB/qqSo/2ku6SAGXq/M5inVPuJCA2hnLRzquUb4EoLh10qpfRyaV/WP8pxvHQ97sex9dnMcAc+XTFydo33xl6pIPNIz98LbX7n/j2gecpZSSp3X+fwYwDX5zd+WGWdfakfePPyr0Dj3OdWDyI9Ovzp7w/FtLXkYBQrYzB08Uiw1JMnfto9P0Syc/v2GIXgbABJx5R/eG+2kzIsHcTU+9kPnHute+/L8zAz4+H6xzhfWNkHmFXBlv4t0WqjSm3vrg9LGTzTIA/9U/dr3/wMIvTlMih0DRZubna8ZoHWdP/rnmpSc/2J7tKFthQwi9AuHoqh/PYCkWVdZhFwCqTMrsOXLyhOZJOPDegt93Lh747sYzFICgUwKnlj30b2TxpKnfjlAD0CU5v80Zu2BTCQeYRIXSZAB1YfHYKcrXp89cse5N8J/9admDszeXPWMhsUIBhRhPmnv/e+FzGWoEwJ93eMeUp5bsqP09zugRC7bQlQO/WgcOcu47aGWiLxV3wsqQZkMh4m6NBq8wEgin6BFCSmPZOs6jwc0ptoDDcL9NLQc2X+380OgVfV6OR0NbU0vtLkMfl6kXD4CwBSrn0YrJRiQZPBrclGJ1Ow197Mn3AQDCFhOkR6wtRuZZaUZHuPRj/CgGwCGcXRESLVUVWuZdmyx7qdT0rJd6X0fTUiuMaF6E2Wu26R2GAfbkgQB8lX4hPIKyyvtsOjUAAO+SB75JdubVpa0yUHJ7kt/s1D1pBRoP7VT4K1+wjJA7krwpDu0oq5bBQj8q/Kcx4FEmV8F09phf8AAgbJ7asdTgu+ZlCWEDAAB8icZ92mO+Web5TWy6G22/wiEWAOFlSAsbSu76xASPuA0v+lAA3iMPfpfsEP3EtLRBJKQQYQ4kF/vc+rv9hqc8CAAE8NCv8ipeDhcA0kalwCHhsAEIH2zCNPIAEJQu4hSeJe6za9XA2wjPSpO7oO7DPBwCXhZPsOH8JWyof1oyZ1DGjqgeKk0F4Bzy0G9m2y8qRnQG03j6FRmkidsy1Vc+PvtaU/sC/W168S84DwLWEJIhVKEUGbz8XmtKD44tkZO/m4p3q6mqXzCXepECWu79kdA+HmJ+1VC1t6RFAXKbqpWUcgkSJEiQIEGDoQ4mz7Piu9KKf5LV51LNdSIj7jRkvxpbW3LSNK9EsS+t6Ie66WnIthJURcDyN2qwNRgYrZtZpC+1FK4kYlupb/ypsvErlMaN2i9pNH5r1EEh0tyZNon0Lkjx2mJYPlj+WJOyv8TjO+gJEiRIkCBBfYLe5CNkMneMO+VuVBlxpyH71Tja4vFuLq1WRpagaDuPSoX5z9RVT0O2laAqAhF1owZb46fxp8rGr1AaN2q/pNH4rSFFIUHLU3hEQ2pH+OB3i98ucQ9FYgkgQYIECRI0bhCO6BFCSvTBWJa6b1gZcach+9VI2kJ4VMcS/XxaLQ8BWWC72RXTZ6j/3rYSVEXI8jdosDV+Gn+qbPwKpXFD9ktGGWcVa/VhjpDrMkqORX4+Nr7WkCxDAEkK0aae5Al+jMPI35NKt4u90FGg8cSDAAkSJEiQIEGCBAkSJEiQoHGB8FgKjYX7cBRnkzNS35x0vcqoM4kHARIkSJAgQYIECRIkSJAgQWOFR9hieb1/tO96kRE/4vUZ9AYFNXYZ+fasUR0IAADU0GXirJcntlXEq3bMMmDpuhULuyrjVWGCBAkSJKgnEE7Rz2nsRzeuXY8qUjvEqU3nAepBIcqqRpRahpKNq8t/Fwin6Os09m1kAZCgkZMIm+uaqgm2Idu6UZP5jdqvBIJcl0sAmLnbo5NHdU/DAQDwpC5jnx7S1xK3/QyYJrNfj46ZquvSNAkSJEhwo4O2smcsvWoouydDWUUvr6Y12/C3GtVkVAfRkJo7fYS+fhQiHN46pDDx9dRlgX7Vb1tGX+rSK82WXmm29ErG6FDt3mEd7U0WF1h6M9UOoayit1fTRty84fuFcMrHrzZbUKq1xLO/DdnWjYNYAESDQPTWzBuCYRM+2Ooo458aAHFPKdUSLADUk79qt3WjJvPrrV/SaMhLmzQaWGHVeS6qvu2Zj4rObZ2eWW06jZm6vfzptqLzWf6cXb+98XA7ZXWPxlqKaDbipaWHfj/sP5/lP/nDz28O66huVCFynYMZe46e+9Nv+33ns/x/7dyz8LHO2kofi7gyvkLq0haq6zXjS8/5rF33668VU946M/d8lv/an0Oz7lCKHkJ1HUeu2PaL53yWP3vnr28Oba8qrw9LHbbvfNbR/2suAwBQ9313j//4gn6qOnRYILCFnIJoWj+4ZMMO2/ks//n9Jz6fNrSpvE4KJcooO0F36wPPr/xia96powUfdtfUvcLwIOpWgxd/8W3x+Sz/+WMlezduHH+boW4LbtKCrb6GQ7jojSxCmg0Fq4y3NRpJhZVw8juCqF3lL/17Lx2NREbcach+VW/Lo7ItTCt6L9nrDHsyjyTRGMrJUmL7Nln4tq6BcHgaAwQtU0uq9e9vKxYUtPqRkvR3rzRbeiXjP6WGThLnS/WFSABEg0D0xhTY11GwNX4aIKXUj7+ue6r3Sxswz84vX2KbU2weGMDDPdZ+/YJmeC1vX0kbECmtxexlsQpjKUVQ2ieKmyy+0mxpfpOpDk1a2El+dYUoqx5b2PTaqugrpcZuNBrXCC2ftsssnR+YMW3CxB5mgLzqJzR74dOPZ7c49NaMpX/p+s2eNe8HvKTzK4dcvNRSDIsT1m/ff3lOIZ1829B5k2dv8Z+57a2c6+c9Co0aeebQdya0P7/u3VF/OdXth7wx7eVt1LkOs7P8IOzKeFOXthBVlxeWbRttqfHADabUqfizs56cs8vNAwBPuy6GRA5hlvs+Xz+z14nlz4zab0u/a/brc3aq7J1m7LVzIDO1SAbIeLBP01WXL8rbjuqjA2V6Mw0KAWkXEKHAFnAKouu+ZMP8wWeWjxu5O1/Tafy8metXBv7fg5/lUFIVSpIBAIiq3aRlH83OPL1u49pJH1/KL7wQqFuFEVHe+sba18d6tr864bUjDrzJLbd3CbmCUq0OIDXY6mk4RIjeSEi0oQBxt0YjqbAKBKXuwDH71AwTbYl6oZHIiDsN2a8abbEoU4QCBiwd9myE2We5eoHliyR93jlSvzjc+1E6aUTo4vjdWzVkW9GDcMQjJaaOcvf6lKCTU/RzGsdY+YWp7qJGM+0RCYAoEIje2AL7+gm2xk9DpJT68df1To1+4Rxu4qntFucVHs8M6Aba0toYiz/R0pKHW6MB0ZLqu936fiEMIGJvYvFyVBVGXwpl1aNLjDcp3OtSgn5GNciRNIlj3zQHa9zp1VTIo2YWuWws3aLgZKy8k8f4eDHOpFuPYVErEqFsCYBoPXXBhJ4nvxg1s8uKhc2qHlfeMmrabYHNY199a6+Hh4PZyltPzBj3wOI/N5RyEksxhV/Of7P8vIPnVHffufS2TC2SExQZtqj2luGLXn9+1K0mLFiUbTMD5Fc5qhi4eIfLoJNx7uxda6b+Z91Bd9mUAm/+yDvfz+qXqUYB/BcObpv76rKvCikAwCx3vfvexIc6tkhTo8C5s3etnTF77T5nrYkInjJ84fp1/c9OHjZ9VR4lUCEAauk5es6Yu+/s1LKpUYkDMMU/jXrw5R31MsOOCJW75q7ea2iaAwDYe4Ls3nf97Z3S8KxcRtAp8aYObaEp98zePDY4b8yiIf97q9omFZWRCBacyD73V63pUYRDqKXPqIGq09Ne+WxbIQeQ/ayq25nXxgx6e//6Uk5maqa+vPuI+b57U79cZxnUx7f/ENK8jQmHUkpinyMHtpBTWva/21i0asGqr3IogNP/WjhgxIc9O2qX59h5iQolyQBE0/vlJS8hn/QcuOU8GY8KIyNL7dLPEvzupXeWHfADABw5tDUGK4dBWrDVz3CIGL2RkGZDAUT7hafdv2bL64OcGx4ateSAlxctFXfz1tnyaDOfUol7s6p9RBe5xZb+HodiwBWpPJuTPBcrrC9jVAMdht4hXIGwl1Wer4zeSygAIE3cyWM9RBLP24lAHk90JlGP0r3a5MlHAQAwlujvNPQLyDXAuxT+H5Kcf8p4XkwGQWmGOfS3UxiKMEUYBlDVi5EUIkk+8wSX0sQBAGcj/N8mucq+D4yyymF2Q0dKpucAgCtSebYmeXJrRxWPdXakPh2kNqXaDuK8QIUAoA3p7veq2pAyI4egABwWWJVmy65WZ81+ySjDq8XqnJSrmxU8AGLxpL7qZj5rYj2NAgCoSO1wp64TheEALMpc1FmX68pvKCW0JYDRlzrXUbZDijtmKVxH1CiCtHSlzKdlOp63Ed6vTO5srMYJYdrS+1JfK68TANi9qVe3yXkAtFNpkzG07710Z37ZPI1TPluYnKEtfttAWwTDJva2ILK/BGRQtKCXIyGjVe045oDBc0LOA1DbeGUXG5HOuYvEbigjDCIAIS8LKUR4vL3HcI9f2ZxBAHi/LLDFYs8SkyFtVAoeCh82AsEW3ahspAEgTCSnoKxymM3YmcLVPADCXFR7vjL48mPYrFbDGtJzb6QEK5gcojHUPyWZl5moWE7momSuMpiLpk5xGTupSo9g11e/atcv6+/Qt5R7V5sUT9gjPRVe2xqRZURVYQwytCHNLTy1Jcl9HAdQUDaemOvQtWeDf1ZLemH9xQdwKl/OAVCXZWjbq4YeJJql4nT+lHl27Me0op0yHgBQRjP9ahJjKnxfzcaSBcrMGsr5z8B7+/x73a/FNWYXWGqXrmnMX1vPpL76ze9XPr2XO7jnEtb23psI6aWugeva9n/8uTbkgW9POsUkY5Z7Vm189THZ7pkTJz8+/6tsuua14uKOD59+bsJjc3+k+0/ZMq+HoXyFlbVnfT1v+osDho8eOOnzs+2e+uKDYS0wAABMc9Nd3Vs6vpwzfMzEJ1/fxQ2YvPmNvqYaQSbPGPnO2jX9zv5r5L9X51HCFQLImtw5ckxvbOeHr416ZtzApyc9/eb/jnnrlJElwZVPJwAAM2YmY/5LeXYWonVKfJDelixjyKq3bts5febyXLLGpV2XasBDQY3FpKnp/EiHUJVRBZyvxFdmEM6WfbIIbdatiRwAVZuT5O4jK/80P9qnacfB3Tzbd56m1E108XijRJjAjuQUoGy5BXzaoHtbaxAAVNepdwvk8uEcHx8HhbHIQJPv/M+IVN4y8vs/jvhP7z2xZvrwZvK6VCgA4zif7VP2eezOm4i4/A4iLdjqZThEjl4BpNgwMuL9Ipr1HmBBibZ9eiXjUZSKu3nrbHlO3iOE2tQBa/Xwsalca5NLVyX52aBhnENZ9sQMwilHlJj7s+QOc+mKJD8VNE4u1aXwAIDoKIVR5vokxXGFUncC78pktz1kGBHAUQCEUwwtsdzDkDuSSz5Mdp7i1aNKja04ERkoq3qyNKkrBL82W1cb/UVIzfAOqxCA9yt835lK308tXmb2FFPaZ2waU7l4WZuQLKCxL7dYPzcGuIBhnENZc/8wj9/uSB0dpLel2H4vv2+IWCEAYghqewQhR29fZSldZrGuNXpr3spHMG94eMXDVmN71LfBUrI4pWRVkueIgq0I3ji35VbZ3k4rejfZ64hwAoKGfjZZV5g8pbRuXKk+o8YIDNeWV2V7O61oQVrRIrPfV+XUPDXFscr2Fds4FZSqFc/+paJpwbCR1BZE9peADIFSQjAY7QK8fVCmAABAm4RkgJPFYnO5yIMIBL0cWSGPd7OlPudW+FWu9cmlnybbt2uDolNKaaNS9FDYsBEItqhGZWMNACEiOwXhZG1I3KW1fWop/dwQkvmTplq1ydHf29a0hsTcK5BgBZNDFIb6hyZz7orWV8IrupGVe8uvj37VBqG2pxW+Z/KcrbnyK2yNyDKiqTAGGYiMRQE4T0VHfHLSDXiLGs8XiF0QeeCYilm7VxEoBLwDiZX9k6CVqUCfUnAxzjkrbgJ5PmxBPClDD+5TVk6f2YQw4akKd4Ed1E1McgQCvNRSAHjLMetPvdoWAJy/zH/if/li2yzw5g+MfUB1avILb626ygEcyjEPenRS1RPIcz//8M0+P8DRotb99z48sCNxYF8QAHjfhb1bLgAAwMmcK5Z773+ldzvVfy95y0tdOrj7x/1+2H/kcou++4YP7EDs3lO++xlQXfupKxbNb7Zn7NDXN+VfW+MQrhDAnb1py84/GsNTDYi66/NvzGp2ct6E3508ROGUOCK1LTzjmXemZW6f8vheF6uteUyrC5bg92z8aTACwbO/rH1p9sqfrazgIabo8OEidMT0p7oc+izLiupatDQpAFfiCABmSNNhtP3g/469MmPUBJ1/86TLycPVmfo6LgGIBXZNpwBTuP2F13t8P2d9dq9dO53thnfKnvbEyr9IqJvCmGWo2w64HXfu+m7FJ/vzfNqOz702a91aPm/QkmMhiRUKwLsPThn30er33zi5/4mtGzZ+tP6nP6xSd14ASA22ehgOQtEbBbHYUECEaL98xz4Y8461u2fX8kt0FKXYeJtXWoWVEJTmZo7Zo6qxl48vVQVOEhwA6aZV0/2qdD6Yi4DRr+/GUl+lOPbgPEDoIobNKtUNoLwbFQAADEZfVpBKGdyCUReVtFFmGERhODDqgLEnF1yT6jyJAgB5SYa2vqrvRbnOE1xkGUhSQN+BIzeZHQdxAAgVc6oubnGFAEDKglllT2TKKQer6uBSpnBee8U8yk4EcwgOiJCDUc7wq9P54PmK+wOEk/e3mgczwfWpjqNVfjcQrBAAo45qApci3GREMG94EB4zcOCXh84RpB8AgKx5Rvza4lCmBAUM2Agn8xd07r0EBxDMxbFZJZr+pGedkL8q6wQAGc9VXXbzEb48MHUO4rtkNAtoc79ShfkOy3gABCKHDSWpLYjsr8gyhEqVIefQsksFD3wILb9R43DfRiMxwZk6OxTIQeWdSWpLivtqFe+ELRV5EFWEXAQvR1KoIPUPB5HTpqKVajb6PVcGKaMSxA6FDxvRYBMYlZHaauAAECCsl8WcwjuJ0BmCAyKUi6OzrPq7Kd+XiqguVGGtEXvu5QUSrLC/RA31j03mLEo7ECSJwVDgrqN+hUU0FsNaQ0CGtLuwCKV4DxFyg2aAV3FJR3oBNdEYDkiNFzEI+0vOKrq69RlAbpZzPACPBY/IjQ/7FVoN4wYkJajAMf+5mBYsACqXAETwHxl/9/1z6ZJi9UMxVB6xFJO/7V/dj6e37jxwxvQ5ez6gu0/4Ll/ohy9Fi64ZULjxD5vo9YIuOmsFXapBBhAEADytzzMLpw4b0C5Fx3mtIT3gPiJMiqSLzlhBY9ZXOkQxaNFng+gD4+6du6m4aqNRVvh3g+p6Tly2fbz68+fHfnSx+vxKmiulEVtbaNrAl17L3P30i8c9YcKYOv3Z2NafAWDaVj2Gvblo6jerma7DVp2hhQ4FTn3y1JLmG6atujgFAABYAMi/4mEBMJ1FjTGk48TXB5suf9y6dH5+6EkW1eoJFDx12AguGNhhnYKqMjKbKAp+WfbdGWOv1khS99FDO25977CDq4vCWGWg2jSLEvI2f7lzrwsAzs2c23XI2kGPt/n42ElSYr+E4BxHVg7pu7n9XQ89P3bar+MnfjNn/HNfXgyIFxQkzjkqVoSjV7R0rDYUQ6BfdPGPK5b8GGupuJtXouXRTB9BCG0d590yFjhMyQMgqJmUAe7NrbguBuXBq6BuSmKYonIMXauILZvhAZIcwlFO/mxBtafbSBZBKk+uLQMxkTjg3kviD+lVVQgAiD6kHeLStKVxJXBeBAWeDPeKJt5TrRQAIO3tlvYQ2pBuP1qt0SgrDIuoeatrQoPfGIMvOFPe8JPH1P4DWn8eFv5ngbq3FT2kLFgEmnQKxYhrc63Y2uKw0AGCH+1XmrS0lVf0DKKlWv/V6vejtcLmGrH2K6K/BGUIepkjRhdaOpS1L3O9leqpeP0VamRwDA/sUVGqkAzhiO5+xXFDyC9USmAQMYLblSIpRIykXAXkIWUM83+po/Ia4k4JFzai1B6VUbVVnXoIAAHCezkGp/gVgQJQNRMPgDKErBFT7o06wdZA1FCJZH599UsaYa3RcDIouXuNXjbGnTK/ci2JcVR/aiOCv5CbrRlLy/6KhX5Nth8qm7YjzAkN9bBD05b1/4ni7UKoTxkoiXlnrcgSAOMocIM+zSznKVdRIYAiI8ME/iN2SjCmxEvR7oJTWQWnso7st2acXzzmkaY/Lrkk9EsAz/MAaDRvQmQZFhAUQwAA5JlPbF09wfLTB+MXHMoLKloOnr9hbPhSHMcBIFXcwZ3a9gM67IHFC5/MGf/F8f/P3nnGR1F1DfxM253tu9nNplKiNCki4IuAFAULICqgIFhQRB+VDhbUhyoWQAQU7ICAgD40FQRFLHRQSigmtJBACinb++7U90MSSNmd3Z1sYsD9//IBnb3nnnvOuWfm3rl3rqdC8cgF/pOg2rumffnDKG7Zs6NnHrRX5mhxrhSHqLpQ3d1P99IY4Pujg679zw93F9z9XJtXj11bOMe6cvavGTu7+/1LHxiUvvpsXpWwqX2Jcx76ZOzNyzVpyWrU62s++dufBvy9r5ACUCj0cp5iWE/mtBGPLw1czqWS/Awi10gxgLrsBQ8Z2MGdgmh6vrbqSfbde19fepmB1Ws+HLLk2IJZk7YNnXUWq4uGUarBMxQLoExSYmBnAYAy5ZuhbxMNfvW1XpQCI4B1ZP369cTfNq8av2rf7Fm/7hm98oo4w9dXjoqOCKM3eFmxNgxCzK3RSARWgHDS7j7UpBZaOs4jUD2Zh4FH+OqRhwAggLlXJrqqfjeYwq5tsQuqBl9ZOIIar2mI0arny7Qquf1bnd+CIAavfrRToFQ1+UUKD+pWPGpRFxuchZUNjlxgbUKZlwckxJMCf0VleksuvdWj6OrWTXRqs3Wlq1R0JJNYkbhSLFWHheLqYs+p/AGTsgvj2ker2nHUNgVdo2PWChuRdQn6K6QaYbyMUtuNZXvL97SijL1SE5lP95SL35lq2Y3zoHL94TG8YUm4W178Y/mm9BClxCGgYXkkR5lpRfbKsJeq/gqJWqsgvbJRBIAAIbwcjVN4PrJEB+GsEU3uRSNPsFUJa6h/WzKvCsYROh4cOMvVOiC+0bZLHEGt0bBqcHmasllqVMOiCMIbHMnjvIGLVV7aC/jrkq50A8lRKGvFuKr9xSFzXUT0d/rwTJLswHBn5BHdeasT5kGJLTl+rBhv98itagQAAG/Sq3dz9twvF/2xKsVzPA8IHmZw7889fAnSe92TFt0EDZnRvT3kfLTg6x+OnDn198n9WaF2EdaGzv95Xt+h7x9uN+XX5c/cVnmSXB0ENhh4s2HzNz6DfTrmPzOqDSfEuVIcouri7NunDrtj0PCKv5GLTgCcXjDmng+ya78fRis/UlJbTO1LPOUozC+yNxn+/nD9xW+//ssDAJhKK+UCLA+MNffMqSIvx3MBFiHVMVvSUT2wQzkFS2zVQu0rzLKUT2QwJZlHC0DfUk/ESsPI1OBduVkl0Oz+DpryrX+KZrekQtnp0iAbdCITGLl+3jN7jpWgqe0MoudeIwg2POn+5ybPeqx9laMHY90dIoneIGpADGxYjZhb458QGBpZQNmGZ47KI3n7BACcWUoDQ7aoPOtYRslSgSu4tl8dALhTxoI3DP5A1VIkDaw0FWFKCPrqX9UJ+2BqcGaSBkbWJspT1giGTAV6t9Z1SkoVSQIXichDgLfJbUuSbbmUdpJJfXXrex0EBjcvizJeQJOYkDdpBgscV1s/Sy1apuLb2nWtIpvKE3IlAiwgsmAHSvMIzwCiEDxrWk7J0qp7OcqwAQDwkM5jGN7dJb/DSfIy5/GaUyC1w0ZkXcL+CqVGOC9zxVL/edJ/nvRfkFzdoYAoaUKGMMUV9s0QkgAAIABJREFUgyneKQ1YATNyiGCpSDpRVO3i7RLKC9JufizkvSxIAIjrleEvXaV22EQSbLVpHAEgQFAvR+CUSqS0LBW4K5KI1koIWiOq3Bs+wQb1V1hD/auSeXWQNLcyGfEfCbeBvFG1SxxBrdHwavAIZ8cZH6Mc4sbMymsfVQ2lYXkhH05fIWhz9fE/AHCY7zcZ18ylaOFTJKO+PyUi3qJVJBREZmx2k45QNlUTQKbc1LI94S7OK7DQ4Mv+ZsmJYfMXvn1+7sa/Vb2nv9yy7Pux202c6FJ4Uu8pw1IvZ18u9aOGFne+NLUrcXbZtkLhrwGwBds/WTt+2dw17ysWf3+oFFq21VY/ESA4gYLjOfDSC+OHXdxwujhANLlFC2CJ2DS8+8z6kSO4DZunbf/A3GPCtstMHQU2CIpO01/p6tvx381WY9vWRgAAoC35l4t9vKArY4youlhHQc61NTLqJi4ArOjiuRIfD4AoO0x84Xbb6XP5bsTQqs+4KXcQ5z7ZXkSD4CVAZU1atby56c3d7hr04rDO0gMf3LvsrBcAUIlGhjKWKisIeJZmEbmGFH3WhlBgh3QKc+XPw4WvjVz45qOvrMsslTR/eNKzbQInFub4AE0Qp6EoNXjf2U1fnB8xc87Mib4V++h2k+b0xo/NW5dLiRYooCGRNnDeS83P7DuWVeJFdS0Hjx+S7Nn/R9jvgYQmbLApu0xaNW2AGvr4jgxfkEtHWCpKhKJXQA1xNhQg5tZoeIGhQTPcpAR3Rv7ha5vC8ZczcbApAdF4LZy0t10hk9h/k4R5iWWT2w86jP1LjSqNO5tggcOTOOqgkqqcpQiuhk3u+MuR+GCZQaJ152FgpGp8RDo4DB4wgaanQ2lSBhwIoqPRqNYhBSSulUnwXIlurJldaPBYkboIDN4uDvMfl8BDtoT7wZ2LQXKVdiEcOdBOukh/Ic5xHNGaQgFhvRE9Ngu5kkWpMgRp61TfDgGexdwy97nKrMdhVCGKdHFo7gA/xWJ+medMxYsUJMFPtgFORsvvtivICi+HryskCLVXSfdw6B8E9kCSL8xCnsjaFZQw/gqhhigv8w7Sb7erhtqVW5QBJ090dKiTkcCvRJiCoTuRyHYFpI4dpPxRc/LzaudRKe0BRFHdy0EDQFyvDHdJIGwEgk2AxhwAQoRzCnKzU9Ob9dtA0t2uVOLO36X1k7FDezlsgg3qr3CG+ncl8/JLyZTEB3hTr/oBN5anNZ0I99TbmNoVEoIlDBxIGRQDREMTqTznwBlP5QaooNYQVkNQoAg1EB0lSWSIDL+il1uKkbalGqrKS3tRNyngctRua4n6CTviVdiiOaTjKhVTANJbJ6z4fURC+X+M/Wz9WMibcd/wRXkMMPmfvTRO9c4bkxd/pGQsR7bMGfj21QOcxZRCZQkZPUZMHNcsAQfeVXho56L+768/G275Amc/MPHRqVdmjHvh3cWvowB+89mDJ0vCdclAzurhUzRLJr6wbrCGAGC8trxje4O92gyJL2fDUy9m/Llmzjf/Odvvkwu+OgusbyQpnf5PC/pB7+y+th7ZvnrEwLHHfIKujDWxrguV6ZJvfXDqmIkGAsBz5c9dHz4w/+szVJhLIG017atVo1XWc6f+WvXakx9tzbKWz7AhpEaKcHTVwzNYikVldVgFIBDYAk7xnl720KvIogmTtw1TANCl2X/MHDNvQykHmEgNxakB1MVFYybJ5k6d9uWad8Bz7pdlD87YWL7HQqRAAQ0xPmDo+er859IVCIAn78iOSU8t3lH7PM7ICRds/vwDv5v6D7DtO2hiIi8Vc4KqIc6GQsTcGg0uMBQIJ+3uR8qiWTrOo76NSWavVTvQrJAAW6CwLdW5wu6X41H/5uQyi13by66/kwdA2EK57VjlYCOUGjzq25Bkcti0vSyJ9wMAwpaQAWe4uhjCudyADrNrRntQDIBDOIvUH7ZUVWjCtTqReK1M/6yL+lBN02IFhjQvwuw1mDVWbT9LYn8Avkq7EB5BWdn9ZrUCAIC3S7w/JNry6lJXOWhga4LHYFM/aQIa9++Ueq59YBkJ7EhwJVlVI00qBvP/LPWcwYBHmRwp08lpeNEJgLB5CusSrfuql0WEDQAA8KVKxxmn4RbC+Ue44W6k7QpGuAAIroa4sKEk9k/18KhD+5IbBeCdEt+PidawR0yL60RCGiLMgcQSt0Nzj0f7lBMBAC/u/11SxcvBAkBcrxS4JBw2AMGDTZhGHgCCqodxCs+S91tUCuDNpHO53lFY924eDAEvh0+wwfwlbKh/WzJnUMaCyB8qSwbgrBL/Hwbzb3Im7Aim8bQrNEiawzjZXdE/e5uSewO9LbXkN5wHAWsIqSEkUIwavOQ+U1J3ji2VBA7pS3YrqKonmIu9SQEtcf1Mqh73M78rqdpL0iIAuU3eQky5OHHixIkTp8FQ+BJnm/BdKSW/EPU5VXOdqBFzGrJdja0uSUA/u1S6L6X4p7rp05B1xamKgOVv1GBrMDBaPa1YU2YsWk5GN1Pf+FNl49dQHDdqu8TR+K1RBw2RZraUCQHXvCSXOYrpgy8eSyv/RyzOQY8TJ06cOHHqE/RmN0kQjihXyt2oasSchmxX46iLx7vaVSoiUIqibZxyOeY5W1d9GrKuOFURiKgbNdgaP40/VTZ+DcVxo7ZLHI3fGmI0JGlJEo8oA6phbjhk9FhErqGITwHEiRMnTpzGDcKR3f1IqcYXzVT3DatGzGnIdjWSuhAeVbNkH7dKxYOX8G412KM6hvqfrStOVYQsf4MGW+On8afKxq+hOG7IdhGUbnqJShPkSmBNeunx0PtjY2sN0WoIIEpDtIkzcZwH47DAoYSyreE+6ChQeXwjQJw4ceLEiRMnTpw4ceLEaVwgPJZEY8EOjuLMEkbsl5OuVzXqTHwjQJw4ceLEiRMnTpw4ceLEaazwCFsiqfdD+64XNWJHrI5Bb1BQXecR700f2Z4EAEC1ncdPf318a2mspGPGfkvWfDm/iyxWAuPEiRMnTj2BcNI+Nl0funGtepQHVINtqlQeoB40RFn5sDLjkEDjavI/BcJJe9t0vRtZAMRp5MTD5rqmaoJtyLpu1GR+o7YrjiDX5RQAZug6fOLIbik4AACe0HnM04N7G2O2ngFTZvTp3iFDfl2aJk6cOHFudNAWlvQlV7Tlz2QoK73TpWzJNvyjRjU1qoMoA8q73KSmfjREOLylX6rn66nJAu2q37p07uQl+U2X5Dddkp8+yl+7dVgHS9qiQmNPptollJX2dClbhTdv8HYhnOzxK03nlamMsWxvQ9Z14xAuACJBIHpr5g3BsAkebHVU498aADFPKdUSLADUk79q13WjJvPrrV3iaMhbmzgaWMOq41xUcdszHxef3zw1o9pwGtN3ff2zLcUXMj3Zu/54++E2suoeFVcKAFD1nS9/47yQuWugplHFyPUNpusxatYvf+x3X8j0/L1zz/zHOqmu+Ti8U2KoSF3qChYbslun5VzI9Fz9Ozz9DlnYS6i6w4gvt/zmvJDpydr5+ztD2skr5GHJQ/ddyDz2n2YEAICi9/t7PCfm9ZHXocFk02GvLTl86IjnQqbn1E+/vjO0g6JSdyGnIMqWDy5et8N8IdNzYf/Jr6YMaSKpk4Yi1Sj/gfrWB15Y/vXmvNPHCpd2U9ZdYHAQRYtBi77eVnIh03PheOne9evH3qat24SbuGCrr+4QVWYTaUNBkbG2RiMReA1OcocPtcg9Zf/snaORqBFzGrJd1etyys3zU4o/SHTZgv6YRxJoDOWIpOjOJgte11UQDk9hgKQJhSip/3xd0SClFY+Wpr6f33RJfvp/y7QdRY6X6oswARAJAtEbVWBfR8HW+GmAlFI//rruqd4uldcwo6Biim1miaG/Fw+2rf36BU13Gd/LT+kXKq1F7eVwAqMpRVKqJ0rSFuU3XVKQNtmqTAk6yK+uIcoqxhQ1uTor+kaZriuNxjRCK4bthLHTAy9PGTe+uwEgr/oPmr742Sczmh9+9+Ulf6v7zJg++ye8tNMbh+286FIAAIDIO7+4bMso4420qaIxIMkYsmBcuwtr3h/5t03RbvDbU17fQp1vPyPTAxE4JYbUpa4QsYHJ1HL+3PQnZ+5y8ADA0/Zcf5hLmPH+r9ZOu/PkF8+M3G9OvXvG3Jk75ZaOL++1cEDomycCpD/Yq8mKy7mS1iN7qUGW2lSJglfcDQSAYXHStO3D12cW0Ym3DZk9ccYmz9nb3s32CToFUXdbvO6tQWe/eH7E7gJlx7Gzp61d7v2/Bz/PpsRqKEoNAEDkbSYs+3hGxpk161dP+ORSQdFFb90EhkR269ur545xbn1z3JyjVjyt7e2d/XafWKsDiA22euoOUWY2kTYUIObWaCQCq0BSivYcs0/BMJGWqBcaiRoxpyHbVaMuFmWKUcCApYP+GmH2Ga9cZPliUcc7h2oXh7s+Tg3oELokds9WDVlX5CAc+WipvoPEsTbJZ+OkfWy60SZ+frKjuNEMe8IEQAQIRG90gX39BFvjpyFSSv3463qnRrtwDtfz1FajLZ/HM7zq/uaUVrqST1W06O7WaEBUAcU9Dk0fPwYQsjXReDkigZGXQlnFqFLdzVLHmiSfh5EPsCZM4Nh3DL4aT3o1NeRRA4tc1pVtknIEK+no1D1egjOppuNYxBqFoXwKgGw5ed64Hqe+Hjmt85fzm1a9Lms7cspt3o1j3nx3r5OHg1myW0++/PwDi/5aV8aJLAUAgCbdO2PjGN/s0QsH/+/dyN55oaq2jyyc+8LIW/WYrzjLbAAoqHJV2n/RDrtWTXCOrF2rJv93zUFHeUV4s0cXbJ/eJ0OBAnguHtwy681l3xVRAIAZ737/g/EPdWieokCBc2TtWv3yjNX7bLUGInjSI/PXrul7buLQqSvyKAGBAKixx6iZo++5q+NNTXQyHIAp+WXkg6/vqJcRdkionFV391xF0xwAwN6TgW69197eMQXPzGHCOiWW1KGukLGBynWkr/Bk1vm/aw2PQlxCjb1G9pefmfLG51uKOICsZ+Vdz84ZPeC9/WvLOELfVHF591HD/fclf7PGOKCXe/9hpFkrPQ5llMg2M0XfvPVOxb8Pnpffc9eS2zJUSLaPF3TKTX3v0RWvmLfiu2wK4Mwr8/sNW9qjg+qLbAsvUkNRagCi7Pn64teQT3v033QhEAuBoSGSO/cx+n58bcGyAx4AgKOHN0dh5SCIC7b66Q5RZzZxNhQgbLvwlIGrNs0dYFv30MjFB1x82FIxN2+dLY82dctkuCuz2iG6SFtz6gccigFXLHduTHDmVlqfYOT9rdqeflyKsJflzu90rksoACBpjsQxTjKB5y2kN48nOwVQp8yxUu8sQAEAMJbsa9P28UqUwNulnp8SbH8RPB9ODZJSDrVqbqcwFGGKMQygqhdDaYgkuA3j7DI9BwCcmfRsS7CXnw+MsrKhFm0HitBwAMAVy52bE5w5taOKxzpZk5/2URuSzQdxXkAgAKj86oEueasAoeMQFIDDvCtSzFnVZNZsF0Fp3yxRZCdd2SjlARCjM/lNB/N5mukMCgAgD6gesak7UhgOwKJMrtr0hbrigVJEXQLo3MmzrOUrpLjjxqI1ZI0iyE32pLdoQs3zZtL1nd6RhdX4QZC6NO7kORUyAYDdm3xli4QHQDuWpY2m3R+k2grKx2mc7NmixHRVyXta2igYNtHXBaH9JaAGRQt6ORQELW/DMQe0zpMSHoDawss6m8lUzlEc7oEyRCcCEPKykIYIj7dzau/1yJoxCADvIbybjJbMcGqI65WCl4KHjUCwRdYrG2kACBPKKSgrG2rWdaJwBQ+AMLkK53dad0EUi9VqWEN87g2VYAWTQySG+rck83ITlUgCOWggR+bLQZMn2XUd5WVHseurXbXlE32tmpskrpV66ROWULvCa1sjtBoRCYxCDZVf2ZanNiU4TuAAUsrMk7Os6nas769qSS+ov3gvThVIOADqMoG2vqLtHkAz5ZzakzTbgv2cUryT4AEAZZRTryQw+qIPFWw0WaDcrP7s//a/r9era34vqTG6wJI7d0lh/t58NvnNHw7lf3Yfd3DPJaz1fTeT4ksBEOmDV7x7286p077ICUSoK2a8d8X6Nx8jdk8bP/Hxt77LomveK3J3LH36uXGPzfqZ7jtp0+zu2ooZVtaS+f3sqS/1e2RU/wlfnWvz1NcfDW2OAQBgypvv7naT9ZuZj4we/+TcXVy/iRvf7q2vEWSS9BELVq/qc+6VEa+uzKOEBQIQaXeNGN0T27l0zshnnu//9ISn3/nfcVedMrIouIrhBABguoxEzHMpz8JCWKfEFPF1hY4NVJ2sxf0+pVGvrOn8UJdQuU4OnLvUXW4Qzpx1qhht2jVNAoAqDAkSx9HlfxmG92rSYVBX59adZyhFmjoWX5TA1a37Pv5cq8CBbadsFW0I5RSgzDmFfMqA+1oqEQBU3bFnc+TykWw3HwMNo1EDTbzrv8OSeeOI7X8e9ZzZe3LV1EeaSuoiUADGeiHLLev12F03kzF5DyIu2OqlO4jIbOJsGJrw7SKb9uxnRMnWve5MxCMoFXPz1tnynKS7HzUrvKbq4WOW21cnlq1I8LA+7fNWWfmOGYSTDSs19GUDOwxlXyZ4KJ9uYpk6iQcARE1JdYT90yRrPqXoCK7liQ6LXzvMi6MACCcdUmq8lwnsSCxdmmg7zStGlulacGHUQFn5k2UJXcD3vcG0UucpRmqGd1ANAXiP1P2jvuzD5JJlBmcJpXrGrNRXKE+08hNepeULo+krnZfzap+3ymquH+bx263Jo3z0liTzoYrnhpACARCtT9XdB9kaywpj2TKjabXOVfNRPoR5g8NLHzbp2qHudcbSRUmlKxKcR6VsZfDGuC6H3PxeSvH7iS5riB8gqP9XvelLvbOMVj9fpkmv0QOD1eWSm99LKZ6XUrzQ4HFX+WmeguJYWbvKZZxSSt6CZ/+W07Rg2IiqC0L7S0ANgVJCMBhtB7ydj5ACAKBpfgLwQEm4sVzoTgSCXg6tIY93NSc/55B65Pa1iWWfJVq2qnxhh5TiemXYS0HDRiDYIuqVjTUAhAjtFIQjWgVwu8r8mbHsK62f8CRMNqkSI3+2rWkNkblXIMEKJocIDPUvTeZcvspdyku7Bq6tLb8+2lUbhNqaUvSB3nmu5syvsDVCqxGJwCjUQAgWBeCclQ1xSwIOwJvX2F8Q7obIA8dUjtpdUm8R4O0DWPl/krQsGejTUi7KMWflQyDPBy2IJ6RrwHHaxGky0kg9nix1FFpAkaaXIODlxZXC059ZMCVj66TH99pZVaRaNntgzAPy0xNffHfFFQ7gcLZhwPAJVX8QOP/rTz/s8wAcK27Zd+/D/TuQB/b5AIB3X9y76SIAAJzKzjfeN/CNnm3k315yVZS6dHD3z/s9sP/o5ea99z3Svz25e0/F6mdA1e0mf7nwraZ7xgyZu6Hg6hyHsEAAR9aGTTv/bAynQyKKLi+8Pb3pqdnjDtl4COvKmCK2LqHYwFVqXyl+7/pfBiHgO/fb6tdmLP/VxApeYoqPHClGh019qvPhzzNNqLr5TXop4DIcAcC0KWqMthz83/E3Xh45Tu3ZOOFy4iOKDE0dpwDwm0avPf1mawCw/fbWE/8rqLl+qKZTgCna+uLc7ttnrs26c9dOW5tHOmZNeWL53wGom4ZRq6Fo3e923Lbrxy8/3Z/nVnV4bs70Nav5vAGLj/tFChSAdxyc9PzHKz98+9T+JzavW//x2l/+NIldeQEgNtjqoTuIyWxViMaGAkqEbZf7+EejF5i6OXd9cYmOoBQba/OKE3gNklLewjF75DXW8vFlcu8pkgMIOGj5VI88lfflIKDzaLqy1HdJ1j04D+DPxbDpZep+lGu9FACAwejL0oCMgLYYlSujdYR2AIXhwCi8uh6cb1Wy7RQKAIFLBNryiuZOyn6B5EKrgSR4Ne25wAaD9SAOAP4STt7ZEV5DAAgQvszyHZkSysrK29tlSZzLUjmOspC+bJID0m9lZC97FKm870Ll8wHCSfqaDIMY39pk67Eq7w0EBQJg1DGl91KIh4wQ5g0OwmNaDjwS/3ky4AEACNT8Rezq4lCmFAUM2BA/5i+qHXtJDsCXg2PTS5V9A841Qv66JhMACJ6rOu3mJt15oO/kw3cRNAtoM49MjrmPEDwAAqHDhhJVF4T2V2g1hEqVI+HQ8lsFD7wfrXhQ43D3eh05zpY8w+/NRiWdAtSmJMeVKt4JWip0J6oMuRBeDqWhNKB52Iec0RcvV7CRr7nSiumVEO5S8LAJG2wCvTJUXQ0cAAIE9XI4p/A20n+W5ID05+DodJPmHsr9jTSiG1VQa0Sfe3mBBCvsr7CG+tcmcxalrQiSwGAocNdRu4ISNhaDWkNADXFPYSFK8U7S7wBlP5f0kjrgAlRPYzggNT7EIOwvCSvt4tCkQ2CjhOMBeMx3VKJ72CNVKRkHIEk+KY55zkc1YQFwbQogDJ6jY+8ZOIsuLVE8FIXwIKXQlP6vzcnY/fRLJ5xRqCpt3iUditb/aQ57v6CLz5lAnawlAHwAgKf0emb+5KH92iSpOZfJrwHcTQZJkXTxWRMoDZprDpEOWPj5APrA8/fN2lBStdIIBf7ToOoe45dtHav46oUxH+dWH1+Jc6U4oqtLODaoM5+Pafk5AKZq0X3oOwsn/7CS6TJ0xVla6JL39KdPLW62bsqK3EkAAMACQEG+kwXA1EYFxgSsJ78/2OSLx01L3irwP8miKg2JgrMOC8GZgi2vdDuR2rJT/5enztzzEd1t3I8FV+/2QZ2CytMz0qSFvy378azuzpZIQrdRQzps/uCIlauLhtGqgapSjDLI2/jNzr12ADg/bVaXwasHPN7qk+OnAiLbJQRnPbp8cO+N7e5+6IUxU34fO/6HmWOf+ybXG76gIDHLUeIQl9mulo7WhuEQaBdd8vOXi3+OtlTMzSvS8miGmySFlo7zDoIFDpPxAAhqCBCAu3Iq74s+ie8KKJoEMEx6rQ9dFcSWj/AASfTjKCd5trDa7rYAiyDXflxbDUQfwAF3XQq/Sa+qhgCAaPyqwXZlaxqXAedCUOADwT7RxDurlQIApJ3F2A7861Itx6pVGqHAoIQ1b3WdUN8POt+LtqS3PYHjCs8BlScPC/5aoO51RU6A8BWDMpVCMfLqWCu6ujjMf4DkR3lkehVt4qU9fGiZynOl+vNorbC5SrTtCukvQTUEvcyRo4qM7cvrJ+zvJjsrP3+F6hgcw7175JTcTyAc2c0jPaH1e4RKCXQiRnC5UigNEV1AIofAYVkU43+xvfIq4Z0SLGzCUrtXRlRXdeohAAQI7uUonOKRegtB3jR8AJQjZI2ocm/ECbYGYQ0VT+bXV7vEEdQaDacGJXGs0hCjHUlvXZtLYqzVd22E8Bdyiyl9Sfk/Mf/viZbD5cN2hDmppB62Kluznr9QvI0fdcu8pVGvrA0zBcBYCx2gSTFIeMpeXAQgTU/Xg+eohRKMqdClUN3dT/fSGOD7o4Ou/fzD3QV3P9fm1WPu0BJ5ngdAI/kSIsuwgKAYAgAgyXhi88pxxl8+GjvvcJ5PetOgt9aNCV6K4zgApIo7uNNbfkKHPrBo/pPZY78+4alobuQC/0lQ7V3TvvxhFLfs2dEzD9orc7Q4V4pDVF0Rxgbrytm/Zuzs7vcvfWBQ+uqzeVXmy2pf4pyHPhl783JNWrIa9fqaT/72pwF/7yukABQKvZynGNaTOW3E40sDl3OpJD+DyDVSDKAue8FpR+HpzMLTmUf3m9IvLBr9aJOfF19iAEI5BdH0fG3Vk+y7976+9DIDq9d8OGTJsQWzJm0bOussVhcNo1SDZygWQJmkxMDOAgBlyjdD3yYa/OprvSgFRgDryPr164m/bV41ftW+2bN+3TN65RVxho91jhKlRKTRG7ysWBsGIebWaCQCK0A4aXcfalILLR3nEaiezMPAI3z1yEMAEMDcKxNdVb8bTGHXttgFVYOvLBxBjdc0xGjV82Valdz+rc5vQRCDVz/aKVCqmvwihQd1Kx61qIsNzsLKBkcusDahzMsDEuJJgb+iMr0ll97qUXR16yY6tdm60lUqOpJJrEhcKZaqw0JxdbHnVP6ASdmFce2jVe04apuCrtExa4WNyLoE/RVSjTBeRqntxrK95XtaUcZeqYnMp3vKxe9MtezGeVC5/vAY3rAk3C0v/rF8U3qIUuIQ0LA8kqPMtCJ7ZdhLVX+FRK1VkF7ZKAJAgBBejsYpPB9ZooNw1ogm96KRJ9iqhDXUvy2ZVwXjCB0PDpzlah0Q32jbJY6g1mhYNbg8TdksNaphUQThDY7kcd7AxSov7QX8dUlXuoHkKJS1YlzV/uKQuS4i+jt9eCZJdmC4M/KI7rzVCfOgxJYcP1aMt3vkVjUCAIA36dW7OXvul4t+kaU4+/apw+4YNLzib+SiEwCnF4y554NswXeA/tzDlyC91z1p0U3QkBnd20PORwu+/uHImVN/n9yfFWoXYW3o/J/n9R36/uF2U35d/sxtlSfJ1UFgg4E3GzZ/4zPYp2P+M6PacEKcK8Uhqq5oYgOt/EhJbTG1L/GUozC/yN5k+PvD9Re//fovDwBgKq2UC7A8MNbcM6eKvBzPBViEVMdsSQfP8TwgeMWsVSinYImtWqh9hVmW8okMpiTzaAHoW+qJWGkYmRq8KzerBJrd30FTvvVP0eyWVCg7XRrkO6iRCYxcP++ZPcdK0NR2BtFzrxEEG550/3OTZz3WvsrRg7HuDpFEbxA1IAY2rEbMrfFPCAyNLKBswzNH5ZG8fQIAziylgSFbVJ51LKNkqcAVXNuvDgDcKWPBGwZ/oGopkgZWmoowJQR99a/qhH0wNTgzSQMjaxPlKWsEQ6YCvVvrOiWliiSBi0TkIcDb5LYlybZcSjvJpL669b0OAoObl0UZL6BJTMgZeAbvmFXuAAAgAElEQVQLHFdbP0stWqbi29p1rSKbyhNyJQIsILJgB0rzCM8AohA8a1pOydKqeznKsAEA8JDOYxje3SW/w0nyMufxmlMgtcNGZF3C/gqlRjgvc8VS/3nSf570X5Bc3aGAKGlChjDFFYMp3ikNWAEzcohgqUg6UVTt4u0SygvSbn4s5L0sSACI65XhL12ldthEEmy1aRwBIEBQL0fglEqktCwVuCuSiNZKCFojqtwbPsEG9VdYQ/2rknl1kDS3MhnxHwm3gbxRtUscQa3R8GrwCGfHGR+jHOLGzMprH1UNpWF5IR9OXyFoc/XxPwBwmO83GdfMpWjhUySjvj8lIt6iVSQURGZsdpOOUDZVE0Cm3NSyPeEuziuw0ODL/mbJiWHzF759fu7Gv1W9p7/csuz7sdtNnOhSjoKca+sg1E1cAFjRxXMlPsEQZAu2f7J2/LK5a95XLP7+UCm0bKutfiJAcAIFx3PgpRfGD7u44XRxgGhyixbAErFpePeZ9SNHcBs2T9v+gbnHhG2XmToKbBAUnaa/0tW347+brca2rY0AAEBb8i8X+3hBV8YYUXWxArGBKDtMfOF22+lz+W7E0KrPuCl3EOc+2V5Eg+AlQGVNWrW8uenN3e4a9OKwztIDH9y77KwXAFCJRoYyliorCHiWZhG5hhR91gae1HvKsNTL2ZdL/aihxZ0vTe1KnF22rZAGEHAKc+XPw4WvjVz45qOvrMsslTR/eNKzbQInFub4AE0Qp6EoNXjf2U1fnB8xc87Mib4V++h2k+b0xo/NW5dLiRYooCGRNnDeS83P7DuWVeJFdS0Hjx+S7Nn/R63PC0RO2GBTdpm0atoANfTxHRm+IJeOsFSUCEWvgBribChAzK3R8AJDg2a4SQnujPzD1zaF4y9n4mBTAqLxWjhpb7tCJrH/JgnzEssmtx90GPuXGlUadzbBAocncdRBJVU5SxFcDZvc8Zcj8cEyg0TrzsPASNX4iHRwGDxgAk1Ph9KkDDgQREejUa1DCkhcK5PguRLdWDO70OCxInURGLxdHOY/LoGHbAn3gzsXg+Qq7UI4cqCddJH+QpzjOKI1hQLCeiN6bBZyJYtSZQjS1qm+HQI8i7ll7nOVWY/DqEIU6eLQ3AF+isX8Ms+ZihcpSIKfbAOcjJbfbVeQFV4OX1dIEGqvku7h0D8I7IEkX5iFPJG1Kyhh/BVCDVFe5h2k325XDbUrtygDTp7o6FAnI4FfiTAFQ3cike0KSB07SPmj5uTn1c6jUtoDiKK6l4MGgLheGe6SQNgIBJsAjTkAhAjnFORmp6Y367eBpLtdqcSdv0vrJ2OH9nLYBBvUX+EM9e9K5uWXkimJD/CmXvUDbixPazoR7qm3MbUrJARLGDiQMigGiIYmUnnOgTOeyg1QQa0hrIagQBFqIDpKksgQGX5FL7cUI21LNVSVl/aiblLA5ajd1hL1E3bEq7BFc0jHVSqmAKS3Tljx+4iE8v8Y+9n6sZA3477hi/IYYPI/e2mc6p03Ji/+SMlYjmyZM/Dtqwc4iyslBs5+YOKjU6/MGPfCu4tfRwH85rMHT5aE65KBnNXDp2iWTHxh3WANAcB4bXnH9gZ7tRkSX86Gp17M+HPNnG/+c7bfJxd8dRZY30hSOv2fFvSD3tl9bT2yffWIgWOP+WLuFCFiXRcq0yXf+uDUMRMNBIDnyp+7Pnxg/tdnqDCXQNpq2lerRqus5079teq1Jz/ammUtn2FDSI0U4eiqh2ewFIvK6rAKAJUlZPQYMXFcswQceFfhoZ2L+r+//iwFIOgU7+llD72KLJowedswBQBdmv3HzDHzNpRygInUUJwaQF1cNGaSbO7UaV+ueQc8535Z9uCMjeV7LEQKFNAQ4wOGnq/Ofy5dgQB48o7smPTU4h21z+OMnHDB5s8/8Lup/wDbvoMmJvJSMSeoGuJsKETMrdHgAkOBcNLufqQsmqXjPOrbmGT2WrUDzQoJsAUK21KdK+x+OR71b04us9i1vez6O3kAhC2U245VDjZCqcGjvg1JJodN28uSeD8AIGwJGXCGq4shnMsN6DC7ZrQHxQA4hLNI/WFLVYUmXKsTidfK9M+6qA/VNC1WYEjzIsxeg1lj1fazJPYH4Ku0C+ERlJXdb1YrAAB4u8T7Q6Itry51lYMGtiZ4DDb1kyagcf9OqefaB5aRwI4EV5JVNdKkYjD/z1LPGQx4lMmRMp2chhedAAibp7Au0bqvellE2AAAAF+qdJxxGm4hnH+EG+5G2q5ghAuA4GqICxtKYv9UD486tC+5UQDeKfH9mGgNe8S0uE4kpCHCHEgscTs093i0TzkRAPDi/t8lVbwcLADE9UqBS8JhAxA82IRp5AEgqHoYp/Aseb9FpQDeTDqX6x2Fde/mwRDwcvgEG8xfwob6tyVzBmUsiPyhsmQAzirx/2Ew/yZnwo5gGk+7QoOkOYyT3RX9s7cpuTfQ21JLfsN5ELCGkBpCAsWowUvuMyV159hSSeCQvmS3gqp6grnYmxTQEtfPpOpxP/O7kqq9JC0CkNvkLcSUixMnTpw4cRoMhS9xtgnflVLyC1GfUzXXiRoxpyHb1djqkgT0s0ul+1KKf6qbPg1ZV5yqCFj+Rg22BgOj1dOKNWXGouVkdDP1jT9VNn4NxXGjtkscjd8addAQaWZLmRBwzUtymaOYPvjisbTyf8TiHPQ4ceLEiROnPkFvdpME4YhypdyNqkbMach2NY66eLyrXaUiAqUo2sYpl2Oes3XVpyHrilMVgYi6UYOt8dP4U2Xj11AcN2q7xNH4rSFGQ5KWJPGIMqAa5oZDRo9F5BqK+BRAnDhx4sRp3CAc2d2PlGp80Ux137BqxJyGbFcjqQvhUTVL9nGrVDx4Ce9Wgz2qY6j/2briVEXI8jdosDV+Gn+qbPwaiuOGbBdB6aaXqDRBrgTWpJceD70/NrbWEK2GAKI0RJs4E8d5MA4LHEoo2xrug44Clcc3AsSJEydOnDhx4sSJEydOnMYFwmNJNBbs4CjOLGHEfjnpelWjzsQ3AsSJEydOnDhx4sSJEydOnMYKj7Alkno/tO96USN2xOoY9AYF1XUe8d70ke1JAABU23n89NfHt5bGSjpm7LdkzZfzu8hiJTBOnDhx4tQTCCftY9P1oRvXqkd5QDXYpkrlAepBQ5SVDyszDgk0rib/UyCctLdN17uRBUCcRk48bK5rqibYhqzrRk3mN2q74ghyXU4BYIauwyeO7JaCAwDgCZ3HPD24tzFm6xkwZUaf7h0y5NelaeLEiRPnRgdtYUlfckVb/kyGstI7XcqWbMM/alRTozqIMqC8y01q6kdDhMNb+qV6vp6aLNCu+q1L505ekt90SX7TJfnpo/y1W4d1sKQtKjT2ZKpdQllpT5eyVXjzBm8Xwskev9J0XpnKGMv2NmRdNw7hAiASBKK3Zt4QDJvgwVZHNf6tARDzlFItwQJAPfmrdl03ajK/3toljoa8tYmjgTWsOs5FFbc983Hx+c1TM6oNpzF919c/21J8IdOTveuPtx9uI6vu0ehLyW6dlnMh03P17/D0O+Jv3GMFpusxatYvf+x3X8j0/L1zz/zHOqmu+TiMK2OrSF3qQtV3vvyN80LmroGaq8UEwib0JVTdYcSXW35zXsj0ZO38/Z0h7eQV8rDkofsuZB77TzMCAEDR+/09nhPz+sjr0GCy6bDXlhw+dMRzIdNz6qdf3xnaQVGpu5BTEGXLBxev22G+kOm5sP/kV1OGNJHUSUORapT/QH3rAy8s/3pz3uljhUu7KesuMDiIosWgRV9vK7mQ6blwvHTv+vVjb9PWbcJNXLDVV3cIFr2hlRBnQ0GRsbZGIxF4DU5yhw+1yD1l/+zTRSNRI+Y0ZLuq1+WUm+enFH+Q6LIF/TGPJNAYyhFJ0Z1NFryuqyAcnsIASRMKUVL/+bqiQUorHi1NfT+/6ZL89P+WaTuKHC/VF2ECIBIEojeqwL6Ogq3x0wAppX78dd1TvV0qr2FGQcUU28wSQ38vHmxb+/ULmu4yvpef0i9UWovay+EERlOKpFRPlKQtym+6pCBtslWZEnSQX11DlFWMKWpydVb0jTJdVxqNaYRWDNsJY6cHXp4ybnx3A0Be9R80ffGzT2Y0P/zuy0v+VveZMX32T3hppzcO23nRpQCTqeX8uelPztzl4AGAp+25/li26d+MJGPIgnHtLqx5f+TfNkW7wW9PeX0Ldb79jEwPhHFKjKlLXYi884vLtowy1thwIxA2oS5hxvu/WjvtzpNfPDNyvzn17hlzZ+6UWzq+vNfCAaFvngiQ/mCvJisu50paj+ylBllqUyUKXnE3EACGxUnTtg9fn1lEJ942ZPbEGZs8Z297N9sn6BRE3W3xurcGnf3i+RG7C5Qdx86etna59/8e/DybEquhKDUAAJG3mbDs4xkZZ9asXz3hk0sFRRe9dRMYEtmtb6+eO8a59c1xc45a8bS2t3f2231irQ4gNtjqqTuEiN5QiLShADG3RiMRWAWSUrTnmH0Khom0RL3QSNSIOQ3Zrhp1sShTjAIGLB301wizz3jlIssXizreOVS7ONz1cWpAh9AlsXu2asi6IgfhyEdL9R0kjrVJPhsn7WPTjTbx85MdxY1m2BMmACJAIHqjC+zrJ9gaPw2RUurHX9c7NdqFc7iep7Yabfk8nuFV9zentNKVfKqiRXe3RgOiCijucWj6+DGAkK2JxssRCYy8FMoqRpXqbpY61iT5PIx8gDVhAse+Y/DVeNKrqSGPGljksq5sk5QjWElHp+7xEpxJNR3HItYoDOVTAGTLyfPG9Tj19chpnb+c37TqdVnbkVNu824c8+a7e508HMyS3Xry5ecfWPTXujJOZCkAVK4jfYUns87/HcVzLqpq+8jCuS+MvFWP+YqzzAaAgipXpf0X7bBr1QTnyNq1avJ/1xx0lA8p8GaPLtg+vU+GAgXwXDy4Zdaby74rogAAM979/gfjH+rQPEWBAufI2rX65Rmr99lqDUTwpEfmr13T99zEoVNX5FECAgFQY49RM0ffc1fHm5roZDgAU/LLyAdf31EvI+yQUDmr7u65iqY5AIC9JwPdeq+9vWMKnpnDhHFKbKlDXWjSvTM2jvHNHr1w8P/erbZIJXTYhLiEGnuN7C8/M+WNz7cUcQBZz8q7np0zesB7+9eWcYS+qeLy7qOG++9L/maNcUAv9/7DSLNWehzKKJFtZoq+eeudin8fPC+/564lt2WokGwfL+iUm/reoyteMW/Fd9kUwJlX5vcbtrRHB9UX2RZepIai1ABE2fP1xa8hn/bov+lCIBYCQ0Mkd+5j9P342oJlBzwAAEcPb47CykEQF2z10x1CRm8oxNlQgLDtwlMGrto0d4Bt3UMjFx9w8WFLxdy8dbY82tQtk+GuzGqH6CJtzakfcCgGXLHcuTHBmVtpfYKR97dqe/pxKcJelju/07kuoQCApDkSxzjJBJ63kN48nuwUQJ0yx0q9swAFAMBYsq9N28crUQJvl3p+SrD9RfB8ODVISjnUqrmdwlCEKcYwgKpeDKUhkuA2jLPL9BwAcGbSsy3BXn4+MMrKhlq0HShCwwEAVyx3bk5w5tSOKh7rZE1+2kdtSDYfxHkBgQCg8qsHuuStAoSOQ1AADvOuSDFnVZNZs10EpX2zRJGddGWjlAdAjM7kNx3M52mmMygAgDygesSm7khhOACLMrlq0xfqigdKEXUJoHMnz7KWr5DijhuL1pA1iiA32ZPeogk1z5tJ13d6RxZW4wdB6tK4k+dUyAQAdm/ylS0SHgDtWJY2mnZ/kGorKB+ncbJnixLTVSXvaWmjYNhEXxeE9peAGhQt6OVQELS8Dccc0DpPSngAagsv62wmUzlHcbgHyhCdCEDIy0IaIjzezqm91yNrxiAAvIfwbjJaMsOpIa5XCl4KHjYCwRZZr2ykASBMKKegrGyoWdeJwhU8AMLkKpzfad0FUSxWq2EN8bk3VIIVTA6RGOrfkszLTVQiCeSggRyZLwdNnmTXdZSXHcWur3bVlk/0tWpukrhW6qVPWELtCq9tjdBqRCQwCjVUfmVbntqU4DiBA0gpM0/Osqrbsb6/qiW9oP7ivThVIOEAqMsE2vqKtnsAzZRzak/SbAv2c0rxToIHAJRRTr2SwOiLPlSw0WSBcrP6s//b/75er675vaTG6AJL7twlhfl789nkN384lP/ZfdzBPZew1vfdTIovBag6WYv7fUqjXhnxTAZmvHfF+jcfI3ZPGz/x8be+y6JrlszdsfTp58Y9Nutnuu+kTbO7aytmWFlL5vezp77U75FR/Sd8da7NU19/NLQ5BgCAKW++u9tN1m9mPjJ6/JNzd3H9Jm58u7e+RpBJ0kcsWL2qz7lXRry6Mo8SFghApN01YnRPbOfSOSOfeb7/0xOefud/x111ysii4CqGEwCA6TISMc+lPAsL4ZwSW8TXRaQPXvHubTunTvsiJ1Dj1h46bEJdQuU6OXDuUne5QThz1qlitGnXNAkAqjAkSBxHl/9lGN6rSYdBXZ1bd56hFGnqWHxRAle37vv4c60CB7adslW0IZRTgDLnFPIpA+5rqUQAUHXHns2Ry0ey3XwMNIxGDTTxrv8OS+aNI7b/edRzZu/JVVMfaSqpi0ABGOuFLLes12N33UzG5D2IuGCrl+4QOnoFEGPD0IRvF9m0Zz8jSrbudWciHkGpmJu3zpbnJN39qFnhNVUPH7PcvjqxbEWCh/Vpn7fKynfMIJxsWKmhLxvYYSj7MsFD+XQTy9RJPAAgakqqI+yfJlnzKUVHcC1PdFj82mFeHAVAOOmQUuO9TGBHYunSRNtpXjGyTNeCC6MGysqfLEvoAr7vDaaVOk8xUjO8g2oIwHuk7h/1ZR8mlywzOEso1TNmpb5CeaKVn/AqLV8YTV/pvJxX+7xVVnP9MI/fbk0e5aO3JJkPVTw3hBQIgGh9qu4+yNZYVhjLlhlNq3Wumo/yIcwbHF76sEnXDnWvM5YuSipdkeA8KmUrgzfGdTnk5vdSit9PdFlD/ABB/b/qTV/qnWW0+vkyTXqNHhisLpfc/F5K8byU4oUGj7vKT/MUFMfK2lUu45RS8hY8+7ecpgXDRlRdENpfAmoIlBKCwWg74O18hBQAAE3zE4AHSsKN5UJ3IhD0cmgNebyrOfk5h9Qjt69NLPss0bJV5Qs7pBTXK8NeCho2AsEWUa9srAEgRGinIBzRKoDbVebPjGVfaf2EJ2GySZUY+bNtTWuIzL0CCVYwOURgqH9pMufyVe5SXto1cG1t+fXRrtog1NaUog/0znM1Z36FrRFajUgERqEGQrAoAOesbIhbEnAA3rzG/oJwN0QeOKZy1O6SeosAbx/Ayv+TpGXJQJ+WclGOOSsfAnk+aEE8IV0DjtMmTpORRurxZKmj0AKKNL0EAS8vshSuUvtK8XvX/zIIAd+531a/NmP5rybhZ1682QNjHpCfnvjiuyuucACHsw0Dhk+o+oPA+V9/+mGfB+BYccu+ex/u34E8sM8HALz74t5NFwEA4FR2vvG+gW/0bCP/9pKrotSlg7t/3u+B/UcvN++975H+7cndeypWPwOqbjf5y4VvNd0zZsjcDQVX5ziEBQI4sjZs2vlnYzgdElF0eeHt6U1PzR53yMZDWFfGFLF14enPLJiSsXXS43vtrKrmtdBhE+oSU3zkSDE6bOpTnQ9/nmlC1c1v0ksBl+EIAKZNUWO05eD/jr/x8shxas/GCZcTH1FkaOo4BYDfNHrt6TdbA4Dtt7ee+F9BzfVDNZ0CTNHWF+d23z5zbdadu3ba2jzSMWvKE8v/DkDdNIxaDUXrfrfjtl0/fvnp/jy3qsNzc6avWc3nDVh83C9SoAC84+Ck5z9e+eHbp/Y/sXnd+o/X/vKnSezKCwCxwVYP3UEoeiMgGhsKKBG2Xe7jH41eYOrm3PXFJTqCUmyszStO4DVISnkLx+yR11jLx5fJvadIDiDgoOVTPfJU3peDgM6j6cpS3yVZ9+A8gD8Xw6aXqftRrvVSAAAGoy9LAzIC2mJUrozWEdoBFIYDo/DqenC+Vcm2UygABC4RaMsrmjsp+wWSC60GkuDVtOcCGwzWgzgA+Es4eWdHeA0BIED4Mst3ZEooKytvb5clcS5L5TjKQvqySQ5Iv5WRvexRpPK+C5XPBwgn6WsyDGJ8a5Otx6q8NxAUCIBRx5TeSyEeMkKYNzgIj2k58Ej858mABwAgUPMXsauLQ5lSFDBgQ/yYv6h27CU5AF8Ojk0vVfYNONcI+euaTAAgeK7qI4ibdOeBvpMP30XQLKDNPDI55j5C8AAIhA4bSlRdENpfodUQKlWOhEPLbxU88H604kGNw93rdeQ4W/IMvzcblXQKUJuSHFeqeCdoqdCdqDLkQng5lIbSgOZhH3JGX7xcwUa+5korpldCuEvBwyZssAn0ylB1NXAACBDUy+GcwttI/1mSA9Kfg6PTTZp7KPc30ohuVEGtEX3u5QUSrLC/whrqX5vMWZS2IkgCg6HAXUftCkrYWAxqDQE1xD2FhSjFO0m/A5T9XNJL6oALUD2N4YDU+BCDsL8krLSLQ5MOgY0SjgfgMd9Rie5hj1SlZByAJPmkOOY5H9WEBcC1KYAweI6OvWfgLLq0RPFQFMKDl6LOfD6m5ecAmKpF96HvLJz8w0qmy9AVZ4V2W0ibd0mHovV/msPeL+jicyZQJ2sJAB8A4Cm9npk/eWi/NklqzmXyawB3k0FSJF181gRKg+aaQ6QDFn4+gD7w/H2zNpRUrTRCgf80qLrH+GVbxyq+emHMx7nVx1fiXCmO6OpCU/q/Nidj99MvnXAGCWOBsAl5yXv606cWN1s3ZUXuJAAAYAGgIN/JAmBqowJjAtaT3x9s8sXjpiVvFfifZFGVhkTBWYeF4EzBlle6nUht2an/y1Nn7vmI7jbux4Krd/ugTkHl6Rlp0sLflv14VndnSySh26ghHTZ/cMTK1UXDaNVAVSlGGeRt/GbnXjsAnJ82q8vg1QMeb/XJ8VMBke0SgrMeXT6498Z2dz/0wpgpv48d/8PMsc99k+sNX1CQWOYoEQhHb9jS0dowHALtokt+/nLxz9GWirl5RVoezXCTpNDScd5BsMBhMh4AQQ0BAnBXTuV90SfxXQFFkwCGSa/1oauC2PIRHiCJfhzlJM8WVtvdFmAR5NqPa6uB6AM44K5L4Ze2VdUQABCNXzXYrmxN4zLgXAgKfCDYJ5p4Z7VSAIC0sxjbgX9dquVYtUojFBiUsOatrhPq+0Hne9GW9LYncFzhOaDy5GHBXwvUva7ICRC+YlCmUihGXh1rRVcXh/kPkPwoj0yvok28tIcPLVN5rlR/Hq0VNleJtl0h/SWohqCXOXJUkbF9ef2E/d1kZ+Xnr1Adg2O4d4+ckvsJhCO7eaQntH6PUCmBTsQIvroJpSGiC0jkEDgsi2L8L7ZXXiW8U4KFTVhq98qI6qpOPQSAAMG9HIVTPFJvIcibhg+AcoSsEVXujTjB1iCsoeLJ/PpqlziCWqPh1KAkjlUaYrQj6a1rc0mMtfqujRD+Qm4xpS8p/yfm/z3Rcrh82I4wJ5XUw1Zla9bzF4q38aNumbc06pW1YaYAGGuhAzQpBglP2YuLAKTp6XrwHLVQgjEVWSnWlbN/zdjZ3e9f+sCg9NVn84TeBPA8D4BG8iVElmEBQTEEAECS8cTmleOMv3w0dt7hPJ/0pkFvrRsTvBTHcQBIFXdwp7f8hA59YNH8J7PHfn3CU6F45AL/SVDtXdO+/GEUt+zZ0TMP2itztDhXikNUXaju7qd7aQzw/dFB1/7nh7sL7n6uzavHri2cEwib2pc456FPxt68XJOWrEa9vuaTv/1pwN/7CikAhUIv5ymG9WROG/H40sDlXCrJzyByjRQDqMtecNpReDqz8HTm0f2m9AuLRj/a5OfFlxiAUE5BND1fW/Uk++69ry+9zMDqNR8OWXJswaxJ24bOOovVRcMo1eAZigVQJikxsLMAQJnyzdC3iQa/+lovSoERwDqyfv164m+bV41ftW/2rF/3jF55RZzh6zNHRU6E0Ru8rFgbBiHm1mgkAitAOGl3H2pSCy0d5xGonszDwCN89chDABDA3CsTXVW/G0xh17bYBVWDrywcQY3XNMRo1fNlWpXc/q3Ob0EQg1c/2ilQqpr8IoUHdSsetaiLDc7CygZHLrA2oczLAxLiSYG/ojK9JZfe6lF0desmOrXZutJVKjqSSaxIXCmWqsNCcXWx51T+gEnZhXHto1XtOGqbgq7RMWuFjci6BP0VUo0wXkap7cayveV7WlHGXqmJzKd7ysXvTLXsxnlQuf7wGN6wJNwtL/6xfFN6iFLiENCwPJKjzLQie2XYS1V/hUStVZBe2SgCQIAQXo7GKTwfWaKDcNaIJveikSfYqoQ11L8tmVcF4wgdDw6c5WodEN9o2yWOoNZoWDW4PE3ZLDWqYVEE4Q2O5HHewMUqL+0F/HVJV7qB5CiUtWJc1f7ikLkuIvo7fXgmSXZguDPyiO681QnzoMSWHD9WjLd75FY1AgCAN+nVuzl77peLwl/wj6IUWvm1CUGB/tzDlyC91z1p0U3QkBnd20PORwu+/uHImVN/n9yfFWoXYW3o/J/n9R36/uF2U35d/sxtlSfJ1UFgg4E3GzZ/4zPYp2P+M6PacEKcK8Uhqi7Ovn3qsDsGDa/4G7noBMDpBWPu+SC79vthgbCpfYmnHIX5RfYmw98frr/47dd/eQAAU2mlXIDlgbHmnjlV5OV4LsAipDpmSzp4jucBwStmrUI5BUts1ULtK8yylE9kMCWZRwtA31JPxErDyNTgXblZJdDs/g6a8q1/ima3pELZ6dIgK3MiExi5ft4ze46VoKntDKLnXiMINjzp/ucmz3qsfZWjB2PdHSKJ3iBqQAxsWI2YW+OfEBgaWUDZhmeOyiN5++zPXxwAACAASURBVAQAnFlKA0O2qDzrWEbJUoEruLZfHQC4U8aCNwz+QNVSJA2sNBVhSgj66l/VCftganBmkgZG1ibKU9YIhkwFerfWdUpKFUkCF4nIQ4C3yW1Lkm25lHaSSX1163sdBAY3L4syXkCTmJAz8AwWOK62fpZatEzFt7XrWkU2lSfkSgRYQGTBDpTmEZ4BRCF41rSckqVV93KUYQMA4CGdxzC8u0t+h5PkZc7jNadAaoeNyLqE/RVKjXBe5oql/vOk/zzpvyC5ukMBUdKEDGGKKwZTvFMasAJm5BDBUpF0oqjaxdsllBek3fxYyHtZkAAQ1yvDX7pK7bCJJNhq0zgCQICgXo7AKZVIaVkqcFckEa2VELRGVLk3fIIN6q+whvpXJfPqIGluZTLiPxJuA3mjapc4glqj4dXgEc6OMz5GOcSNmZXXPqoaSsPyQj6cvkLQ5urjfwDgMN9vMq6ZS9HCp0hGfX9KRLxFq0goiMzY7CYdoWyqJoBMualle8JdnFdgocGX/c2SE8PmL3z7/NyNf6t6T3+5Zdn3Y7ebONGlEGWHiS/cbjt9Lt+NGFr1GTflDuLcJ9uLhA9dYAu2f7J2/LK5a95XLP7+UCm0bKutfiJAcAIFx3PgpRfGD7u44XRxgGhyixbAErFpePeZ9SNHcBs2T9v+gbnHhG2XmToKbBAUnaa/0tW347+brca2rY0AAEBb8i8X+3hBV8YYUXWxjoKca2tk1E1cAFjRxXMlPl4wbIQiCpU1adXy5qY3d7tr0IvDOksPfHDvsrNeAEAlGhnKWKqsIOBZmkXkGlL0WRt4Uu8pw1IvZ18u9aOGFne+NLUrcXbZtkIaQMApzJU/Dxe+NnLhm4++si6zVNL84UnPtgmcWJjjAzRBnIai1OB9Zzd9cX7EzDkzJ/pW7KPbTZrTGz82b10uJVqggIZE2sB5LzU/s+9YVokX1bUcPH5Ismf/H7U+LxA5YYNN2WXSqmkD1NDHd2T4glw6wlJRIhS9AmqIs6EAMbdGwwsMDZrhJiW4M/IPX9sUjr+ciYNNCYjGa+Gkve0KmcT+myTMSyyb3H7QYexfalRp3NkECxyexFEHlVTlLEVwNWxyx1+OxAfLDBKtOw8DI1XjI9LBYfCACTQ9HUqTMuBAEB2NRrUOKSBxrUyC50p0Y83sQoPHitRFYPB2cZj/uAQesiXcD+5cDJKrtAvhyIF20kX6C3GO44jWFAoI643osVnIlSxKlSFIW6f6dgjwLOaWuc9VZj0OowpRpItDcwf4KRbzyzxnKl6kIAl+sg1wMlp+t11BVng5fF0hQai9SrqHQ/8gsAeSfGEW8kTWrqCE8VcINUR5mXeQfrtdNdSu3KIMOHmio0OdjAR+JcIUDN2JRLYrIHXsIOWPmpOfVzuPSmkPIIrqXg4aAOJ6ZbhLAmEjEGwCNOYAECKcU5CbnZrerN8Gku52pRJ3/i6tn4wd2sthE2xQf4Uz1L8rmZdfSqYkPsCbetUPuLE8relEuKfextSukBAsYeBAyqAYIBqaSOU5B854KjdABbWGsBqCAkWogegoSSJDZPgVvdxSjLQt1VBVXtqLukkBl6N2W0vUT9gRr8IWzSEdV6mYApDeOmHF7yMSyv9j7Gfrx0LejPuGL8pjgMn/7KVxqnfemLz4IyVjObJlzsC3rx7gLKYUKtMl3/rg1DETDQSA58qfuz58YP7XZ8ItX+DsByY+OvXKjHEvvLv4dRTAbz578GRJuC4ZyFk9fIpmycQX1g3WEACM15Z3bG+wV5sh8eVseOrFjD/XzPnmP2f7fXLBV2eB9Y0kpdP/aUE/6J3d19Yj21ePGDj2mE/QlbEm1nUJhI1QRElbTftq1WiV9dypv1a99uRHW7Os5TNsCKmRIhxd9fAMlmJRWR1WAaCyhIweIyaOa5aAA+8qPLRzUf/315+lAASd4j297KFXkUUTJm8bpgCgS7P/mDlm3oZSDjCRGopTA6iLi8ZMks2dOu3LNe+A59wvyx6csbF8j4VIgQIaYnzA0PPV+c+lKxAAT96RHZOeWryj9nmckRMu2Pz5B3439R9g23fQxEReKuYEVUOcDYWIuTUaXGAoEE7a3Y+URbN0nEd9G5PM/8/eecc3VfV//HtHkpudNGk6KVRZskF/yEZBBRQVEJQ6UEQflT2eRxwsRRFQAQUXQwEBn4elgqKIgw0qUBkto4VCBx3ZO7m54/dHW+hIbpLbtAa871f/QG/OOZ/vOCf3nJx7j8eiud8kFwNdJLcu1zrDPi/Hor5tyRVmm6avTdebBUDoYpn1ePVkI5QMFvVuTjLarZq+5sRBAIDQZYTfEa4tSuRYrUdH2dRj3SgGwCCMWeILW6omAZFzXaLo5Qrds07yA1UgwLfCkO5FqP16k9qiGWhOHAzA1rALYRGUlg4yqeQAAKxN7Pk20VrQkLYqQf07Etx6q+pJIwRw326J+/oLlhH/rgRnkkWZZVRSmO9HifssBixK5Uuorg79iw4AhC6QW5ZpXNeizCNtAACALVfYzzr0t4kcv4Wb7kZqVzDCJUBwGfzShhTbPtHBSLvmJRcKwDrE3u8SLWGPmObXibgUItShxDKXXX2PW/OUAwEAD+77VVwjysESgF+v5LjEnTYAwZONmzhPAE7pYYLC0sQgs1IOrIlwrNbZixvezYPBEeXwA2yweHE76p82mFMoZUZkD1UkAzAWse83vekXGRV2BhM/doUGSbMbprqq+mc/Y3I/COxMLfsFZ4HDG1wyuCrkI4MV32dM6snQ5WL/EV3ZXjlZ8wRzvl9SEBA7fySUj/uoXxVk/S1pEYB0kbXkU05AQEBAQKDJkHsT5xnxPSllP4kac6nmBpERc5rSrnhrS+zXzSuXHEgp/aFhepqyLYGacHj+Zk22JgMLqGaWqisMJauJ6Fbq43+ojH+F/LhZ7eJH/HujAQqR5taUSX7nwiSnKYrlg5WPpVX+IxbnoAsICAgICDQm6K0uQiSyR7lT7maVEXOa0q74aIvFu9uUSpG/HEXbOmQyzH2uoXqasi2BmnBk1M2abPFP/A+V8a+QHzerXfyIf2/wUUgExEksovArR7ngiMFt5rmHQlgCEBAQEBCIbxCG6OlDytXeaJa6b1oZMacp7YqTthAWVdFEf5dSyYJH5Nmht0V1DPXf25ZATbg8f5MmW/wT/0Nl/Cvkx01pl4jUzipTqoNc8a9PLz8R+vnY2HqDtwwOeClEmzkSJ7gxBvMfSajYEe6FjhyNCw8CCAgICAgICAgICAgICMQXCIslBbBgB0cxJjHF981JN6qMBiM8CCAgICAgICAgICAgICAQr7AIXSZu9EP7bhQZsSNWx6A3Kai22+h3ZmV1IAAAUE23ibNemdhGEqvaMcPAZetXLbpdGqsKBQQEBAQaCYSR9Ldq+wfia9ejzK8cZlWmsgCNoBClZaMqDMP98WXy3wXCSPpZtf3iLAEE4hwhbW5oag6wTdnWzTqY36x2CXByQy4BYPruj07O6pGCAwDgCd3GPT2snyFm+xkwRWb/nh0zZTekawQEBARudtCW5vRlVzWV92QoLentVLSim/5Wo5aM2iAKv+IuF6FuHIUIg7fySXRsI5nMYVfjtqV1JS8rzFhWmLGsMH2Mr751WEdz2pJiQx+q1iWUlvRxKlqHd29wuxBG+vjVjIUVSkMs7W3Ktm4ewiVAJHBkb91xgzNtgidbA2X8UxMg5kNKrQEWABopXvXbulkH8xvNLn405VcbP5pYYc15Lirv8sxHpRe2Tc+sNZ3GdN1f+XR7aV62O3fPb2893FZaO6L8SmGqTg+8sPrLbQWnjxcv76GIsVX/YDBtrzFzf/rtoCsv231m975Fj3VVXo9xmKDEVkhD2kJVvWd85cjL3nO/+loxaaeZ+XnZ7mt/R2fdKQ17CVV1HL1q+y+OvGx3zu5f3x7eXlZVH5Y84kBe9vF/NRcBAMj7vbvP/dfC/rIGGExkjHp52dEjf7rzst2nfvj57REd5dXauYKCKFo9uHTjLlNetjvv4Mkvpg1vJm6QQp4yKj8QrFc2pMLgIPKWQ5d8ubMsL9udd6J8/6ZN47toGrbgxi/ZGqs7BMve0CL4+ZCzylh7I04qvA4jvtOLmmXuir/37iJOZMScprSrdlsOmWlRSun7iU5r0A+zSEIAQxlRUnRnkwVv6xoIg6dQQAREcl61/v1tRYMkIB9ZnvpuYcaywvTXKzSdec6XGoswCRAJHNkbVWLfQMkW/zTBkNI48brhqW2X0qOfXVS1xDanTD/Ygwd7rP3GBU13Gt4pTBkYaliLOsrhKoymFEEqnyhLW1KYsawobapFkRJ0kl9bIUrLx5U0u7Yq+mqFtnsAjWmGVk3bRYauD8yYNmFiTz1AQe0PZLz46cezWxxdMGPZGVX/2bPm/YCXd331qI3lXQoQWdtJKz6anXl2/aZ1kz6+XFRy0RNLk/7RiDOHL57QPm/9u1lnrPL2w96a9sp28kKH2dluCBOUGNOQthBZtxdXbB9jqPPADSZVydjzs56cs8fOAgAbsF3yhbmEGQZ9sWFm75Mrn8k6aEq9e/b8Obtl5s4z9psZEOlaJAKkP9i32Zorl8RtsvqqQJqaoUDBw+8LBICiccK484NX5pQEErsMnzd59lb3uS4Lcr2cQUFUPZZufHPouZXPj95bpOg8ft7MDas9//fgZ7kkX4W8ZABHr+RbYUiknd5aN3+cY8drE944ZsHT2t3RzWfz8vU6AN9ka6TuECJ7Q8HThxzE3BtxUmENCFLegaEOyCkq0hKNQpzIiDlNaVedtmiUKkUBAzoQ9NMIdcBw9SLNlvI63jmUXQzu/CjVr0UCZbG7t2rKtiIHYYiR5bqOYvuGJK+VkfS3asca2UXJ9tK4mfaESYAI4Mje6BL7xkm2+KcphpTGideNTh27cAbXseQOg7WQxTM9qsGmlNbask+UAd7dLW5AlH75PXZ1fx8GENKaaKIcUYWRl0Jp+Zhy7a0S+/okr5uSDbEkTGLot/XeOnd6dRWyqJ5GrmgrtkoYES3u7NA+XoZTqcYTWMSKwlC5BEC0mrpwQq9TX2bN7LZqUUbN69J2WdO6eLaMe23BfgcLh3OknU7OeP6BJX9srGB4lkIUfV5Z+jLySa/BW/P8kQtFle0eeW/+C1mddJi3NMekByiqcVUyeMkum0YlYuw5e9ZOfX39YXvllAJvPnLx97P6Z8pRAPfFw9vnvrbi6xISADDD3e++P/Ghji1S5Cgw9pw962bMXnfAWm8igic9smjD+gHnJ4+YvqaA5KgQADX0GjNn7D13db6lmVaKA1BlP2U9+MquRplhh4TMX3t3n7WBAAMAsP+kv0e/DXd0TsGz8ynOoMSaBrSFJt07e8s477yx7w3734Jam1RkWsJbfDLnwpl606MQl1BD36zBsrPTXv1sewkDkPOsrPu5N8YOeefghgpGpMuQX9l7TD/ovuSv1huG9HUdPIo0b63DoYLkaTNV8tWbb1f9+/AF2T13LeuSqURyvSxnUG4ZcI+2dM3CNV/nkgBn/71o4KjlvToqV+aaWZ4Kecng6pX8KgyNKLlbf4P3u5cXrzjkBgA4dnRbFF4OAr9ka5zuEDJ7Q8HPhxyEtQtPuX/t1vlDrBsfylp6yMmGLRVz9zbY82iGSyrFndm1DtFF2plS32dQDJhSmWNLguNStfdFlGywRdPHh0sQ+orM8bXWeRkFACTNnjjOQSSwrJnwFLBEVz/qkNo/1zmKUAAAjCYGWDX9PWIFsDaJ+4cE6x8ilg0ngyAVIyzqO0gMRahSDAOoGcVQCpEEl36CTapjAIAxEe6dCbbK84FRWjrCrOlIitQMADClMse2BEd+/axisa6W5Ke95OZk02Gc5agQAJQ+1f1OWWu/SMsgKACDedakmHJq1VnXLhGpea1Mnpt0dYuEBUAMjuTX7NRnacazKACAzK98xKrqTGI4AI1Sl1TGlaqqG0oebXGgdSXPtVTukGJOGErWE3WKILfYkt4MiFQsayKcX+vsOVidDwRpS+1KfqOqTgCg9ydf3S5mAdDOFWljA673U61FlfM0RvpsSWK6suwdTcDAmTbRtwWh48UhgwxwRjkUooCsLUMd0jhOilkAcjsr7WYiUhl7abgbyhCdCIArylwKERZv79Dc65Y2pxAA1i3ybDWYs8PJ4NcrOS8FTxuOZIusV8ZpAnATKigoLR1h0nYlcTkLgFCX5I6vNa6iKDar1fEG/7E31ADLOThE4qh/ymBe6aIysT8f9edLvflo8hSbtrOs4hh2Y9lVv37RAIv6FrHzc53kCXOop8LreyO0jIgqjEKG0qdox5JbE+x/4QAS0sQScy2q9rT3j1qDXtB4sR6cLBIzAOQVEdrmqqanH82WMSp30jwz9mNK6W4RCwAopZh+NYHSlXwgp6MZBSrd6st9ffB9ff+z/teyOrMLLLnb7SnUmW3nkl/79kjhp/cxh/ddxtrcdyvBuxSaeNfro5JZw+jvfz/mPrv/5Nrpj2SIIRyY4d41m157TLR35sTJj7/5dU6g7nfFpV3Ln35uwmNzfwwMmLJ1Xk9N1Qorbc7+Zt70lwY+MmbwpC/Ot33qyw9HtMAAADDFrXf3uMXy1ZxHxk58cv4eZuDkLW/109VJMnH66MXr1vY//+/R//m8gOSuEECUdtfosX2w3cvfyHrm+cFPT3r67f+dcDZoROYFUzWdAABMm5mIuS8XmGkIE8oYw78tUfqwNQu67J4+c2W+v85XuypZg/u8CoNOUTf4oS6hMq0MGFe5q9IhjCnnVCma0T1NDIDK9Qli+7HVf+gf7dus49Dujh27z5LyNFUs3iiBq9oMePy51v5DO09Zq2wIFRQgTfnFbMqQ+1opEABU1blPC+TKn7kuNgYKo5ERUa+MpkIOKEtejkva97G7biVi8jsIv2RrlO4QOns54OPD0IS3i8joM9CAEm369k7EIygVc/c22POMuKcPNck9xtrpY5LZ1iVWrElw017N8xZp5RMzCCMdVa4fQPt36StWJbhJr3ZyhSqJBQBERUq0ItsnSZZCUt4ZnKsT7WafZpQHRwEQRjK83HAv5d+VWL480XqalWdVaFsyYWSgtOzJioTbwfuN3vi51l2K1E3voAoBWLfE9Z2u4oPkshV6RxmpfMak0FWJF7X2iTwK80qD8Quth/FonrdI6+4fZvE7LMljvIHtSaYjVfcNISsEQDReZU8v5KrNawwVKwzGdVpn3Vv5EO4NDit52Khtj7o2GsqXJJWvSXAck9DVyRvjtuwy0zsppe8mOi0hPoCgvp91xlU6R0VA9XyFOr1ODwzWllNmeieldGFK6Xt6t6vGRwvkJENL21dv45SQspYsfUYWCHCmDa+2IHS8OGRwlOKCwgI2wNt7RRIAADTNJwLcXxZuLhe6EwFnlEMrZPHupuTn7BK3zLYhseLTRPMOpTfslJJfrwx7KWjacCRbRL0yXhOAi9BBQRhRaz9uU5o+NVR8ofGJ3AlTjcrEyO9t63qD59jLMcByDg4ROOofOpgzhUpXOSvp7r++t/zGsKs+CLkjpeR9neN83ZVfbm+ElhFJhVHIQEQ0CsA4qg1xif12wFvUeb4g3BciCwxVPWt3SjwlgHfwY5X/SQSkyRA4LWGinHNW3wSybNCCeEK6GuynjYw6M43Q4ckSe7EZ5Gk6MQIellcpeZuBd+DWPd+t+uRggUvZ8bk3Zq1fxxYMWXrCF6ym6gqbPzDuAdnpyS8uWHOVATiaqx/y6KSaH/Bf+PmHbw+4AY6Xthqw/+HBHYlDB7wAwLou7t96EQAATuUWGu67/9U+bWX/veysKnX58N4fD7rh4LErLfodeGRwB2LvvupnElBV+6mr3nszY9+44fM3F11b4+CuEMCes3nr7t/j4XRIRH77C2/Nyjg1b8IRKwthQxlT+LaFpz+zeFrmjimP77fRyrrXlCpvOX7vpp+GIuA9/8u6l2ev/tlIc16iSv/8sxQdNf2pbkc/yzaiqha36CSAS3EEANOkqLCA+fD/Trw6I2uCyr1l0pXER+SZ6gYuAeC3jN1w+rU2AGD95c0n/ldUd/9Q3aAAVbLjxfk9v5+zIaf3nt3Wto90zpn2xOozfmiYwqhlhOuVUVfIAWs/POX5jz7/4K1TB5/YtnHTRxt++t3Id+cFAN9ka4TuwJW9ERCNDzlEhLXLdeLDsYuNPRx7Vl4ORFCKjrV7+VV4HYJU3MZQ+2R19vKxFTLPKYIB8NsDsuluWSrrzUdA61Z3p8mvkyz7cBbAdwnDZlWoBpLOTRIAAAoLXJH4pSJoh5GXpAGtSDOExHCg5B5tL8a7Ntl6CgUA/2UR2uqqujdpyyOY0DKQBI+6A+PfrLccxgHAV8bIutnDKwQAv8ibXflEppi00LIONmkS4zRXz6PMhDeXYIDwWSjpDLc8lfXmVd8fIIx4gFE/lPJuSLYcr/G7AWeFABh5XOG5HOImI4R7g4OwmIYBt9h3gfC7AQDq7euLXVsMSpWjgAEd4sPsRZV9P8EAePNxbFa5YoDfsZ4rXtfrBAARy9RcdnMRrgLQdfXie0QBGtDmbqkMc/0pYgEQCJ02JK+2IHS8QsvgKlWJmEErvypYYH1o1Y0ag7s2aYkJ1uTZPk8uKu7qJ7cm2a/WiE7QUqE7UXXKhYhyKIUSv/phL3JWV7paTke+50rDp1dCuEvB0yZssnH0ylBtNXECcBA0yuGCwloJ3zmCAcKXj6OzjOp7SNdXkoi+qIJ6I/qxl+UYYLnjFdZR/9jBnEYDFgRJoDAUmBvIrqCEzcWg3uCQwe8uLEQp1kH47KAY6JRcVvmdgOoCGA5InRcxcMdLTEtut6vTwb9FzLAALOY9JtY+7JYoFZQdkCSvBMfcF6JasAC4vgQQBvex8ffcPzdQXiZ/KIrKg5RClSkGKRRs+Wr3fhsAXJg59/Zh64Y83vrjE6c4ngqQtLg9HUo2/W4K+30RKD1vBFWyRgTgBQA8pe8zi6aOGNg2ScU4jT414C4iyBAZKD1nBIVefT0gkiHvfTYkcOj5++ZuLqvZaIQV/t2gql4TV+wYL//ihXEfXao9v+IXSn5E1xaaMvjlNzL3Pv3SX44gaUye/Wxcq88AMGXLniPefm/qt59Tt49Ycy7Adclz+pOnljbfOG3NpSkAAEADQFGhgwbAVAY5RvktJ7853Gzl48Zlbxb5nqRRpZpAwdGAjeBU0fZ/9/grtVXXwTOmz9n3YaDHhO+Krn3bBw0KKkvPTJMU/7Liu3Pa3q2QhB5jhnfc9v6fFqYhCqOVEbZXRm8XF4zl2Oph/ba0v/uhF8ZN+3X8xG/njH/uq0sNfSFIzMYofnBnb9jS0fowHBx2Bcp+XLX0x2hLxdy9PD2PZroIgmvrOGsX0cBgUhYAQfV+EeDO/OrvRa/YexXkzfwYJrneh65VRFfO8ABJ9OEoI362uNbTbX4aQa5/uL4MROfHAXdeDv+QXk2FAICofcphNkWbAC4FxomgwPqDvaKJddQqBQBIe7OhPfg2ppqP12o0wgqDEta9tTWh3m+13hetSW+5/Sfk7kNKdwEW/GeBhrcVOX6RtxQUqSSKEdfmWtG1xWC+QwQ7xi3VKQNGVtLLi1Yo3Vdr34/WS5trRGtXyHhxyuCMMkOMKTF0qGxfZFuQ7Kh+/RWqpXAM9+yTkTKfCGGIHm7JXxqfm6sURyeiOLcrhVKIaP1iGfiPSqOY//PtldcIH5RgaROW+r0yorZq0wgJwEHwKEcRFLfEUwyyjPAJUAmXN6IaeyMeYOsQ1lHCYH5j2cWPoN5oOhmk2L5WLRprT3rz+loSZan91EaIeCG3GdOXVf4T8/2aaD5aOW1HqJMK8mGLog3t/gPF2/pQl9RTHvXO2jBLAJSl2A7qFL2YJW2lJQCS9HQduI+ZSc6c4ijFUiQNoEhSYGCjAYA0FppgQDM1HuQHhBqwLAuARvImRJqiAUExBABAnPnEts8nGH76cPzCowVeyS1D39w4LngphmEAkBrhYE5v/wEd8cCSRU/mjv/yL3eVuZFX+HeCau6auerbMcyKZ8fOOWyrHqP5hZIfvNpCtXc/3Veth2+ODb3+Pz/YW3T3c23/c/z6xjnamX9w/fh5PQctf2Bo+rpzBTXWy+pfYhxHPh5/62p1WrIK9XhbTP3vD0POHCgmAeRynYwlKdqdPXP048v9Vy6RST4KkaklGEBDngUP2ItPZxefzj520Jiet2TsyGY/Lr1MAYQKCqLu8/LaJ+kF976y/AoF69Z/MHzZ8cVzp+wcMfcc1hCFUcoI3yujrDACaHvOz19O/mXb2olrD8yb+/O+sZ9f5ef4mI9RvIgwe4OX5evDIMTcG3FSYRUII+npRY0qrq3jLAK1B/MwsAhbO/MQAAQw1+eJzprvDSax64/YBZXBVheOoMXrCrGA8vkKjVJm+6/WZ0YQvUc31sFRqlb9JXI36pKPNKtK9Y7iaoMjr7A+odzLAhLiToG9qjS+KZN0csu7u7STHZpcbflaZSCSRaxIQsmXmtNCfm3R55U+v1FxO+U8EFC2Z8id8kCdjlkvbXi2xRmvkDLCRBklvzdU7K98phWlbNVKpF7tU052d6p5L86C0vmbW/+qOeFuWel3lQ+lhyjFDw6FlZkc5UjLs1eGvVTzU0jUqoL0yrhIAA5CRDmaoLBsZAMdhPNGNGMvGvkAW5OwjvqnDeY1wRiRlgU7TjP1DoiPW7v4EdQbTSuDKVBXzFWhahpFEFZvT57g8V+s8aM9R7wua8s3EwyJ0haMqdlf7FLnRUTX24tnE0RHijkri+ibtzZhbpToshPHS/H2j3RSIQAAeLO+/VrQ53+6yLVrn7MU67yUUwbNB3VUVz5kJG9+WypUnC7nfuOi79LRy5De95606BZoiMyeHSD/w8Vffvvn2VNnTh7MCfUUYX0ChT8uHDDi3aPtp/28+pkuTGvwJgAAIABJREFU1SfJNaDCJgNvPmrRlmewT8b9a3at6QS/UPKDV1uM7fvpo+4c+mjVX9aSvwBOLx53z/u59X8fRqtfUlK/mvqXWNJeXFhia/bou4/qLv73yz/cAIApNRLGT7NAWS6dPVXiYVjGTyOEKmZbOliGZQHBq1atQgUFS2zdUuUtzjFXLmRQZdnHikDXSieKlcLIZETRKyOrMHJ9nrP7jpehqe31vNdeI0g2PGnQc1PnPtahxtGDse4OkWRvEBkQAx/WIube+DsqDI3Ur2jLUsdkkfz6BACMSRIAimhZfdaxlJSmAlN0/Xl1AGBOGYpe1fv8NUsRAaAlqQhVJgpc+6u5YB9MBmMiAkBJ20Z5ypqIIlIhsFfjPCUhS8T+i6LIU4C1yqzLkq2XSM0Uo+rao+8NqDC4e2mU8gCaRIVcgacw/wmV5dPUkhVKtp1N2zqypTyuUCJAAyINdqA0i7AUIHLOs6ZlpDStdpSjTBsAADfhOI7hPZ2yOx0EK3WcqLsEUj9teLbFHa9QMsJFmSmV+C4QvguEL0987QkFRBEQSRGqtGoyxTokfgtgBgbhLBVJJ4rKLtYmJj0g6eHDQn6XBUkAfr0y/KVr1E+bSJKtPvGRABwEjXIEQalGEpCmAnNVHNFeCU5vRDX2hh9gg8YrrKP+UYN5bZA0lyIZ8f0Z7gHyuLKLH0G90fQyWISx4ZSXUgx3YSbF9ZeqhlJYWciLB66KAqba838AYDDvL1KmuVPe0itPRr2/i3n8ilY1oCBSQ/NbtCJFhkoERMotrTqIXKUFReYAeHO/WvbXqEXvvXVh/pYzyn6zZrSq+Gb890aGdynvua0rL4ye88acyd41BwLtp7zRDz++cGOYva900fcfb5i4Yv76d+VLvzlSDq3aaWqfCBAcf9GJfHjphYmjLm4+XeoXNbtNA2CO2DWs6+ymrNHM5m0zv3/f1GvSzitUAytsEuRdZ/27u3fX69sshnZtDAAAEDAXXin1spyhjDG82qLtRfnX98iomjkBsJKL58u8LACi6Dj5hTusp88XuhB96/4Tpt0pOv/x9yUB4LwEqLRZ61a3Ztza466hL47qJjn0/r0rznkAABWrpShlrrGDgKUDNCJTE7zP2sCT+k0blXol90q5D9W37P3S9O6icyt2FgcAOIJCXf39aPHLWe+9NvLfG7PLxS0envJsW/9f7+V7AU3gp5CXDJajV/KrkEOhKO3+hS+1OHvgeE6ZB9W2GjZxeLL74G/1Xi8QOWGTTXH7lLUzh6igv/fPRxdfCkRYKkq4spdDBj8fchBzbzR9haFBM12EGHdE/uJrq9z+hyNxmDEBUXvMjKSfTS4V234Rh/kRyyqzHbYbBpcblGpXrogGBk9iyMMKsnqVIrgMq8z+hz3xwQq9WOMqwMBA1nmJdHAo3G8EdR+7wqjw2xFEG0Cj2ofkFzs/T4LnyrTjTfR7ercFaUiFwe1iMN8JMTxkTRgErksYJNewC2GI+22Ek/AV4wzDiNqQKCC0J6LbZq5Q0ihZgSDtHKo7wM/SmEvqOl896jEYWYwit9vVd4KPpDGf1H226ocUJMFHtAVGGpDdbZMTVVEO31ZIEHK/ItDLrnsQ6ENJ3jAbeSKzKyhh4hVCBq8os3bCZ7MpR9gU2xV+ByvqbFclI/6fRWEKhu5EPO3yS+y7CNlIU/LzKscxScANiLx2lIMmAL9eGe4SR9pwJBsH8ZwAXIQLCnKrQ92P9llB3NOmUOCOXyWNM2KHjnLYATZovMI56p81mFdeSibFXsAzPKoHXFiBxvhXuLveeLIrJCJapGdAQqEYIOqAKJVl7Djlrn4AKqg3uGVwVshDBqIlxYmUKNMn7+uSYIR1uZqsMe/l9SUFTL7KZSlTPWFDPHJrNId0XKNqCUDSadKaX0cnVP7H+E83jYeC2fc9uqSAAqrw05cmKN9+derSDxWU+c/tb9z/1rUDnHmVIi8uGTdFOn/6zFXr3wb3+Z9WPDh7S0G4zsXYDk0eOf3q7AkvLFj6CgrgM507fLIsXCl//rpHp6mXTX5h4zC1CIDyWAuO7w+z4aA23vzNT72Y+fv6N77617mBH+d5G1xhYyNO6fp/GtANfXvv9f3ItnWj7x9/3MsZylgT67ZQqTa504PTx03WiwDcV3/f88EDi748S4a5BJLWM79YO1ZpOX/qj7UvP/nhjhxL5QobQqglCBOoeXgGTdKotAG7AFBpQmav0ZMnNE/AgXUWH9m9ZPC7m86RAJxB8Zxe8dB/kCWTpu4cJQcIlOf+Nmfcws3lDGA8FfKTwdEreVbIoRBj/fo+/1n0XLocAXAX/LlrylNLd9U/jzNywiWbr/DQr8bBQ6wHDhupyEvFnKAy+PmQi5h7o8krDAXCSHr6kIpoto6zqHdLkslj0dxvkouBLpJbl2udYZ+XY1HftuQKs03T16brzQIgdLHMerx6shFKBot6NycZ7VZNX3PiIABA6DLC7wjXFiVyrNajo2zqsW4UA2AQxizxhS1Vk4DIuS5R9HKF7lkn+YEqEOBbYUj3ItR+vUlt0Qw0Jw4GYGvYhbAISksHmVRyAADWJvZ8m2gtaEhblaD+HQluvVX1pBECuG+3xH39BcuIf1eCM8mizDIqKcz3o8R9FgMWpfIlVFeH/kUHAEIXyC3LNK5rUeaRNgAAwJYr7Gcd+ttEjt/CTXcjtSsY4RIguAx+aUOKbZ/oYKRd85ILBWAdYu93iZawR0zz60RcChHqUGKZy66+x615yoEAgAf3/SquEeVgCcCvV3Jc4k4bgODJxk2cJwCn9DBBYWlikFkpB9ZEOFbr7MUN7+bB4Ihy+AE2WLy4HfVPG8wplDIjsocqkgEYi9j3m970i4wKO4OJH7tCg6TZDVNdVf2znzG5HwR2ppb9grPA4Q0uGVwV8pHBiu8zJvVk6HKx/4iubK+crHmCOd8vKQiInT8Sysd91K8KkutZ+tCCu8ha8iknICAgICDQZMi9ifOM+J6Usp9EjblUc4PIiDlNaVe8tSX26+aVSw6klP7QMD1N2ZZATTg8f7MmW5OBBVQzS9UVhpLVRHQr9fE/VMa/Qn7crHbxI/690QCFSHNryiS/c2GS0xTF8sHKx9Iq/xGLc9AFBAQEBAQaE/RWFyES2aPcKXezyog5TWlXfLTF4t1tSqXIX46ibR0yGeY+11A9TdmWQE04MupmTbb4J/6HyvhXyI+b1S5+xL83+CgkAuIkFlH4laNccMTgNvPcQyEsAQgICAgIxDcIQ/T0IeVqbzRL3TetjJjTlHbFSVsIi6poor9LqWTBI/Ls0NuiOob6721LoCZcnr9Jky3+if+hMv4V8uOmtEtEameVKdVBrvjXp5efCP18bGy9wVsGB7wUos0ciRPcGIP5jyRU7Aj3QkeOxoUHAQQEBAQEBAQEBAQEBATiC4TFkgJYsIOjGJOY4vvmpBtVRoMRHgQQEBAQEBAQEBAQEBAQiFdYhC4TN/qhfTeKjNgRq2PQmxRU2230O7OyOhAAAKim28RZr0xsI4lV7Zhh4LL1qxbdLo1VhQICAgICjQTCSPpbtf0D8bXrUeZXDrMqU1mARlCI0rJRFYbh/vgy+e8CYST9rNp+cZYAAnGOkDY3NDUH2KZs62YdzG9WuwQ4uSGXADB990cnZ/VIwQEA8IRu454e1s8Qs/0MmCKzf8+OmbIb0jUCAgICNztoS3P6squaynsylJb0dipa0U1/q1FLRm0QhV9xl4tQN45ChMFb+SQ6tpFM5rCrcdvSupKXFWYsK8xYVpg+xlffOqyjOW1JsaEPVesSSkv6OBWtw7s3uF0II338asbCCqUhlvY2ZVs3D+ESIBI4srfuuMGZNsGTrYEy/qkJEPMhpdYACwCNFK/6bd2sg/mNZhc/mvKrjR9NrLDmPBeVd3nmo9IL26Zn1ppOY7rur3y6vTQv252757e3Hm4rrR3RKEsp7lxQmpftrv13cHRSuPNWBSID0/YaM/en3w668rLdZ3bvW/RYV+X1GIcJZWyFNKQtVNV7xleOvOw996uvFZN2mplfM22OzrpTGvYSquo4etX2Xxx52e6c3b++Pby9rKo+LHnEgbzs4/9qLgIAkPd7d5/7r4X9ZQ0wmMgY9fKyo0f+dOdlu0/98PPbIzrKq7VzBQVRtHpw6cZdprxsd97Bk19MG95M3CCFPGVUfkDV6YEXVn+5reD08eLlPRQNrzA4iLzl0CVf7izLy3bnnSjfv2nT+C6ahi248Uu2xuoOwbI3tAh+PuSsMtbeiJMKr8OI7/SiZpm74u+9u4gTGTGnKe2q3ZZDZlqUUvp+otMa9MMskhDAUEaUFN3ZZMHbugbC4CkUEAGRnFetf39b0SAJyEeWp75bmLGsMP31Ck1nnvOlxiJMAkQCR/ZGldg3ULLFP00wpDROvG54atul9OhnF1Utsc0p0w/24MEea79xQdOdhncKUwaGGtaijnK4CqMpRZDKJ8rSlhRmLCtKm2pRpASd5NdWiNLycSXNrq2Kvlqh7R5AY5qhVdN2kaHrAzOmTZjYUw9QUPsDGS9++vHsFkcXzFh2RtV/9qx5P+DlXV89amN5lvLkfPzAY5slVUaIM0fOWzXC8d1J+830dMXfiDhz+OIJ7fPWv5t1xipvP+ytaa9sJy90mJ3tBu5QxpqGtIXIur24YvsYQ52UwKQqGXt+1pNz9thZAGADtku+MJcww6AvNszsfXLlM1kHTal3z54/Z7fM3HnGfjMDIl2LRID0B/s2W3PlkrhNVl8VSFMzFCh4+H2BAFA0Thh3fvDKnJJAYpfh8ybP3uo+12VBrpczKIiqx9KNbw49t/L50XuLFJ3Hz5u5YbXn/x78LJfkq5CXDABAZG0nrfhodubZ9ZvWTfr4clHJRU/DKgyJtNNb6+aPc+x4bcIbxyx4Wrs7uvlsXr5eB+CbbI3UHUJkbyh4+pCDmHsjTiqsAUHKOzDUATlFRVqiUYgTGTGnKe2q0xaNUqUoYEAHgn4aoQ4Yrl6k2VJexzuHsovBnR+l+rVIoCx291ZN2VbkIAwxslzXUWzfkOS1MpL+Vu1YI7so2V4aN9OeMAkQARzZG11i3zjJFv80xZDSOPG60aljF87gOpbcYbAWsnimRzXYlNJaW/aJMsC7u8UNiNIvv8eu7u/DAEJaE02UI6ow8lIoLR9Trr1VYl+f5HVTsiGWhEkM/bbeW+dOr65CFtXTyBVtxVYJI6LFnR3ax8twKtV4Ima/mVcuARCtpi6c0OvUl1kzu61alFHzurRd1rQuni3jXluw38HC4Rxpp5Mznn9gyR8bKxh+pRhX8YkTxZUfE7V4fMGwxGOLxy8964MwoMp2j7w3/4WsTjrMW5pj0gMU1bgqGbxkl02jEjH2nD1rp76+/rC9ckqBNx+5+PtZ/TPlKID74uHtc19b8XUJCQCY4e5335/4UMcWKXIUGHvOnnUzZq87YK03EcGTHlm0Yf2A85NHTF9TQHJUCIAaeo2ZM/aeuzrf0kwrxQGosp+yHnxlV6PMsENC5q+9u8/aQIABANh/0t+j34Y7Oqfg2fkUZyhjTQPaQpPunb1lnHfe2PeG/W9BrU0qMi3hLT6Zc+FMvelRiEuooW/WYNnZaa9+tr2EAch5Vtb93Btjh7xzcEMFI9JlyK/sPaYfdF/yV+sNQ/q6Dh5FmrfW4VBB8rSZKvnqzber/n34guyeu5Z1yVQiuV6WMyi3DLhHW7pm4Zqvc0mAs/9eNHDU8l4dlStzzSxPhbxkAKLo88rSl5FPeg3emuePRYWhESV362/wfvfy4hWH3AAAx45ui8LLQeCXbI3THUJmbyj4+ZCDsHbhKfev3Tp/iHXjQ1lLDznZsKVi7t4Gex7NcEmluDO71iG6SDtT6vsMigFTKnNsSXBcqva+iJINtmj6+HAJQl+ROb7WOi+jAICk2RPHOYgEljUTngKW6OpHHVL75zpHEQoAgNHEAKumv0esANYmcf+QYP1DxLLhZBCkYoRFfQeJoQhVimEANaMYSiGS4NJPsEl1DAAwJsK9M8FWeT4wSktHmDUdSZGaAQCmVObYluDIr59VLNbVkvy0l9ycbDqMsxwVAoDSp7rfKWvtF2kZBAVgMM+aFFNOrTrr2iUiNa+VyXOTrm6RsACIwZH8mp36LM14FgUAkPmVj1hVnUkMB6BR6pLKuFJVdUPJoy0OtK7kuZbKHVLMCUPJeqJOEeQWW9KbAZGKZU2E82udPQer84EgbaldyW9U1QkA9P7kq9vFLADauSJtbMD1fqq1qHKexkifLUlMV5a9owkYONMm+rYgdLw4ZJABziiHQhSQtWWoQxrHSTELQG5npd1MRCpjLw13QxmiEwFwRZlLIcLi7R2ae93S5hQCwLpFnq0Gc3Y4Gfx6Jeel4GnDkWyR9co4TQBuQgUFpaUjTNquJC5nARDqktzxtcZVFMVmtTre4D/2hhpgOQeHSBz1TxnMK11UJvbno/58qTcfTZ5i03aWVRzDbiy76tcvGmBR3yJ2fq6TPGEO9VR4fW+ElhFRhVHIUPoU7Vhya4L9LxxAQppYYq5F1Z72/lFr0AsaL9aDk0ViBoC8IkLbXNX09KPZMkblTppnxn5MKd0tYgEApRTTryZQupIP5HQ0o0ClW325rw++r+9/1v9aVmd2gSV3uz2FOrPtXPJr3x4p/PQ+5vC+y1ib+24l+Je63rTuwVcmdC9ZN3nj5TqTjvpghnvXbHrtMdHemRMnP/7m1zmBut8Vl3Ytf/q5CY/N/TEwYMrWeT01VSustDn7m3nTXxr4yJjBk7443/apLz8c0QIDAMAUt97d4xbLV3MeGTvxyfl7mIGTt7zVT1cnycTpoxevW9v//L9H/+fzApK7QgBR2l2jx/bBdi9/I+uZ5wc/Penpt/93wtmgEZkXTNV0AgAwbWYi5r5cYKYh0qDEBv5tidKHrVnQZff0mSvz/XW+2lXJGtznVRh0irrBD3UJlWllwLjKXZUOYUw5p0rRjO5pYgBUrk8Q24+t/kP/aN9mHYd2d+zYfZaUp6li8UYJXNVmwOPPtfYf2nnKWmVDqKAAacovZlOG3NdKgQCgqs59WiBX/sx1sTFQGI0MNPGu10cls4bR3/9+zH12/8m10x/JEDekQg4oS16OS9r3sbtuJWLyOwi/ZGuU7hA6ezng48PQhLeLyOgz0IASbfr2TsQjKBVz9zbY84y4pw81yT3G2uljktnWJVasSXDTXs3zFmnlEzMIIx1Vrh9A+3fpK1YluEmvdnKFKokFAERFSrQi2ydJlkJS3hmcqxPtZp9mlAdHARBGMrzccC/l35VYvjzRepqVZ1VoWzJhZKC07MmKhNvB+43e+LnWXYrUTe+gCgFYt8T1na7ig+SyFXpHGal8xqTQVYkXtfaJPArzSoPxC62H8Wiet0jr7h9m8TssyWO8ge1JpiNV9w0hKwRANF5lTy/kqs1rDBUrDMZ1WmfdW/kQ7g0OK3nYqG2PujYaypckla9JcByT0NXJG+O27DLTOyml7yY6LSE+gKC+n3XGVTpHRUD1fIU6vU4PDNaWU2Z6J6V0YUrpe3q3q8ZHC+QkQ0vbV2/jlJCylix9RhYIcKYNr7YgdLw4ZHCU4oLCAjbA23tFEgAANM0nAtxfFm4uF7oTAWeUQytk8e6m5OfsErfMtiGx4tNE8w6lN+yUkl+vDHspaNpwJFtEvTJeE4CL0EFBGFFrP25Tmj41VHyh8YncCVONysTI723reoPn2MsxwHIODhE46h86mDOFSlc5K+nuv763/Mawqz4IuSOl5H2d43zdlV9ub4SWEUmFUchARDQKwDiqDXGJ/XbAW9R5viDcFyILDFU9a3dKPCWAd/Bjlf9JBKTJEDgtYaKcc1bfBLJs0IJ4Qroa7KeNjDozjdDhyRJ7sRnkaToxAh6Wb6lKJK0enTsQ+WHSV6fD7gAAvPkD4x6QnZ784oI1VxmAo7n6IY9OqvkB/4Wff/j2gBvgeGmrAfsfHtyROHTACwCs6+L+rRcBAOBUbqHhvvtf7dNW9t/LzqpSlw/v/fGgGw4eu9Ki34FHBncg9u6r2v0MqKr91FXvvZmxb9zw+ZuLrq1xcFcIYM/ZvHX37/FwOiQiv/2Ft2ZlnJo34YiVhQiDEiP4toWnP7N4WuaOKY/vt9HKuteUKm85fu+mn4Yi4D3/y7qXZ6/+2UhzXqJK//yzFB01/aluRz/LNqKqFrfoJIBLcQQA06SosID58P9OvDoja4LKvWXSlcRH5JnqBi4B4LeM3XD6tTYAYP3lzSf+V1R3/1DdoABVsuPF+T2/n7Mhp/ee3da2j3TOmfbE6jN+aJjCqGXI2wy8A7fu+W7VJwcLXMqOz70xa/06tmDI0hM+nhVywNoPT3n+o88/eOvUwSe2bdz00Yaffjfy3XkBwDfZGqE7cGVvBETjQw4RYe1ynfhw7GJjD8eelZcDEZSiY+1efhVehyAVtzHUPlmdvXxshcxzimAA/PaAbLpblsp68xHQutXdafLrJMs+nAXwXcKwWRWqgaRzkwQAgMICVyR+qQjaYeQlaUAr0gwhMRwouUfbi/GuTbaeQgHAf1mEtrqq7k3a8ggmtAwkwaPuwPg36y2HcQDwlTGybvbwCgHAL/JmVz6RKSYttKyDTZrEOM3V8ygz4c0lGCB8Fko6wy1PZb151fcHCCMeYNQPpbwbki3Ha/xuwFkhAEYeV3guh7jJCOHe4CAspmHALfZdIPxuAIB6i/mxa4tBqXIUMKBDfJi9qLLvJxgAbz6OzSpXDPA71nPF63qdACBimZrLbi7CVQC6rl58jyhAA9rcLZVhrj9FLAACodOG5NUWhI5XaBlcpSoRM2jlVwULrA+tulFjcNcmLTHBmjzb58lFxV395NYk+9Ua0QlaKnQnqk65EFEOpVDiVz/sRc7qSlfL6cj3XGn49EoIdyl42oRNNo5eGaqtJk4ADoJGOVxQWCvhO0cwQPjycXSWUX0P6fpKEtEXVVBvRD/2shwDLHe8wjrqHzuY02jAgiAJFIYCcwPZFZSwuRjUGxwy+N2FhSjFOgifHRQDnZLLKr8TUF0AwwGp8yIG7niJacntdnU6+LeIGRaAxbzHxNqH3RKlgrIDkuSV4Jj7QlQLFgDXlwDC4D42/p775wbKy+QPRVE5VynZ/z09qqXp+xf3mSP4DpC0uD0dSjb9bgr72UDpeSOokjUiAC8A4Cl9n1k0dcTAtkkqxmn0qQF3EUGGyEDpOSMo9OrrAZEMee+zIYFDz983d3NZzUYjrPDvBlX1mrhix3j5Fy+M++hS7fkVv1DyI7q20JTBL7+Ruffpl/5yBElj8uxn41p9BoApW/Yc8fZ7U7/9nLp9xJpzAa5LntOfPLW0+cZpay5NAQAAGgCKCh00AKYyyDHKbzn5zeFmKx83LnuzyPckjSrVBAqOBmwEp4q2/7vHX6mtug6eMX3Ovg8DPSZ8V3Tt2z5oUFBZemaapPiXFd+d0/ZuhST0GDO847b3/7QwDVEYrQxUmWKQQsGWr3bvtwHAhZlzbx+2bsjjrT8+ccrP0y4uGMux1cP6bWl/90MvjJv26/iJ384Z/9xXlzzhC3IS+zEqKrizN2zpaH0YDg67AmU/rlr6Y7SlYu5enp5HM10EwbV1nLWLaGAwKQuAoHq/CHBnfvX3olfsvQryZn4Mk1zvQ9cqoitneIAk+nCUET9bXOvpNj+NINc/XF8GovPjgDsvh39Ir6ZCAEDUPuUwm6JNAJcC40RQYP3BXtHEOmqVAgCkvdnQHnwbU83HazUaYYVBCeve2ppQ77da74vWpLfc/hNy9yGluwAL/rNAw9uKHL/IWwqKVBLFiGtzrejaYjDfIYId45bqlAEjK+nlRSuU7qu170frpc01orUrZLw4ZXBGmSHGlBg6VLYvsi1IdlS//grVUjiGe/bJSJlPhDBED7fkL43PzVWKoxNRnNuVQilEtH6xDPxHpVHM//n2ymuED0qwtAlL/V4ZUVu1aYQE4CB4lKMIilviKQZZRvgEqITLG1GNvREPsHUI6yhhML+x7OJHUG80nQxSbF+rFo21J715fS2JstR+aiNEvJDbjOnLKv+J+X5NNB+tnLYj1EkF+bBF0YZ2/4HibX2oS+opj3pnbZglAMpSbAd1il7MkrbSEgBJeroO3MfMJGdORVBK0WHcIG3Jtu3Zkf1gzrIsABrJmxBpigYExRAAAHHmE9s+n2D46cPxC48WeCW3DH1z47jgpRiGAUBqhIM5vf0HdMQDSxY9mTv+y7/cVcIjr/DvBNXcNXPVt2OYFc+OnXPYVj1G8wslP3i1hWrvfrqvWg/fHBt6/X9+sLfo7ufa/uf49Y1ztDP/4Prx83oOWv7A0PR15wpqrJfVv8Q4jnw8/tbV6rRkFerxtpj63x+GnDlQTALI5ToZS1K0O3vm6MeX+69cIpN8FCJTSzCAhjwLHrAXn84uPp197KAxPW/J2JHNflx6mQIIFRRE3efltU/SC+59ZfkVCtat/2D4suOL507ZOWLuOawhCqOUwVIkDaBIUmBgowGANBaaYEAzNX7tZ70oK4wA2p7z85eTf9m2duLaA/Pm/rxv7OdX+Tm+0caoqIgwe4OX5evDIMTcG3FSYRUII+npRY0qrq3jLAK1B/MwsAhbO/MQAAQw1+eJzprvDSax64/YBZXBVheOoMXrCrGA8vkKjVJm+6/WZ0YQvUc31sFRqlb9JXI36pKPNKtK9Y7iaoMjr7A+odzLAhLiToG9qjS+KZN0csu7u7STHZpcbflaZSCSRaxIQsmXmtNCfm3R55U+v1FxO+U8EFC2Z8id8kCdjlkvbXi2xRmvkDLCRBklvzdU7K98phWlbNVKpF7tU052d6p5L86C0vmbW/+qOeFuWel3lQ+lhyjFDw6FlZkc5UjLs1eGvVTzU0jUqoL0yrhIAA5CRDmaoLBsZAMdhPO65J1gAAAgAElEQVRGNGMvGvkAW5OwjvqnDeY1wRiRlgU7TjP1DoiPW7v4EdQbTSuDKVBXzFWhahpFEFZvT57g8V+s8aM9R7wua8s3EwyJ0haMqdlf7FLnRUTX24tnE0RHijkri+ibtzZhbpToshPHS/H2j3RSIQAAeLO+/VrQ53+6yL13P3wpedshA1WmXbsKwj8EAADgu3T0MqT3vSctugUaIrNnB8j/cPGX3/559tSZkwdzQj1FWJ9A4Y8LB4x492j7aT+vfqZL9UlyDaiwycCbj1q05Rnsk3H/ml1rOsEvlPzg1RZj+376qDuHPlr1l7XkL4DTi8fd835u/d+H0eqXlNSvpv4llrQXF5bYmj367qO6i//98g83AGBKjYTx0yxQlktnT5V4GJbx0wihitmWDpZhWUDwqlWrUEHBElu3VHmLc8yVCxlUWfaxItC10olipTAyGazzUk4ZNB/UUV356J+8+W2pUHG6PMh7UCOrMHJ9nrP7jpehqe31vNdeI0g2PGnQc1PnPtahxtGDse4OkWRvEBkQAx/WIube+DsqDI3Ur2jLUsdkkfz6BACMSRIAimhZfdaxlJSmAlN0/Xl1AGBOGYpe1fv8NUsRAaAlqQhVJgpc+6u5YB9MBmMiAkBJ20Z5ypqIIlIhsFfjPCUhS8T+i6LIU4C1yqzLkq2XSM0Uo+rao+8NqDC4e2mU8gCaRIVcgacw/wmV5dPUkhVKtp1N2zqypTyuUCJAAyINdqA0i7AUIHLOs6ZlpDStdpSjTBsAADfhOI7hPZ2yOx0EK3WcqLsEUj9teLbFHa9QMsJFmSmV+C4QvguEL0987QkFRBEQSRGqtGoyxTokfgtgBgbhLBVJJ4rKLtYmJj0g6eHDQn6XBUkAfr0y/KVr1E+bSJKtPvGRABwEjXIEQalGEpCmAnNVHNFeCU5vRDX2hh9gg8YrrKP+UYN5bZA0lyIZ8f0Z7gHyuLKLH0G90fQyWISx4ZSXUgx3YSbF9ZeqhlJYWciLB66KAqba838AYDDvL1KmuVPe0itPRr2/i3n8ilY1oCBSQ/NbtCJFhkoERMotrTqIXKUFReYAeHO/WvbXqEXvvXVh/pYzyn6zZrSq+Gb890amAaUAQNSsR1edP3f3pQhvuOmi7z/eMHHF/PXvypd+c6QcWrXT1D4RIDj+ohP58NILE0dd3Hy61C9qdpsGwByxa1jX2U1Zo5nN22Z+/76p16SdV6gGVtgkyLvO+nd3767Xt1kM7doYAAAgYC68UuplwwUllvBqi7YX5V/fI6Nq5gTASi6eL/OyAIii4+QX7rCePl/oQvSt+0+Ydqfo/MfflwSA8xKg0matW92acWuPu4a+OKqb5ND796445wEAVKyWopS5xg4Clg7QiExN8D5rA0/qN21U6pXcK+U+VN+y90vTu4vOrdhZHADgCAp19fejxS9nvffayH9vzC4Xt3h4yrNt/X+9l+8FNIGfQl4yWO+5rSsvjJ7zxpzJ3jUHAu2nvNEPP75w4yWSd4UcCkVp9y98qcXZA8dzyjyottWwicOT3Qd/q/d6gcgJm2yK26esnTlEBf29fz66+FIgwlJRwpW9HDL4+ZCDmHuj6SsMDZrpIsS4I/IXX1vl9j8cicOMCYjaY2Yk/Wxyqdj2izjMj1hWme2w3TC43KBUu3JFNDB4EkMeVpDVX1fBZVhl9j/siQ9W6MUaVwEGBrLOS6SDQ+F+I6j72BVGhd+OINoAGtU+JL/Y+XkSPFemHW+i39O7LUhDKgxuF4P5TojhIWvCIHBdwiC5hl0IQ9xvI5yErxhnGEbUhkQBoT0R3TZzhZJGyQoEaedQ3QF+lsZcUtf56lGPwchiFLndrr4TfCSN+aTus1U/pCAJPqItMNKA7G6bnKiKcvi2QoKQ+xWBXnbdg0AfSvKG2cgTmV1BCROvEDJ4RZm1Ez6bTTnCptiu8DtYUWe7Khnx/ywKUzB0J+Jpl19i30XIRpqSn1c5jkkCbkDktaMcNAH49cpwlzjShiPZOIjnBOAiXFCQWx3qfrTPCuKeNoUCd/wqaZwRO3SUww6wQeMVzlH/rMG88lIyKfYCnuFRPeDCCjTGv8Ld9caTXSER0SI9AxIKxQBRB0SpLGPHKXf1A1BBvcEtg7NCHjIQLSlOpESZPnlflwQjrMvVZI0f7Xl9SQGTr3JZylRP2BCP3BrNIR3XqFoCkHSatObX0QmV/zH+003joWD2fY8uKaCAKvz0pQnKt1+duvRDBWX+c/sb97917QBnfqUAQJzRKRnKfrwc8WvzGNuhySOnX5094YUFS19BAXymc4dPloXrkv78dY9OUy+b/MLGYWoRAOWxFhzfH+ynzZB48zc/9WLm7+vf+Opf5wZ+nOdtcIWNjTil6/9pQDf07b3X9yPb1o2+f/xxb7igxJRYt4VKtcmdHpw+brJeBOC++vueDx5Y9OVZMswlkLSe+cXasUrL+VN/rH35yQ935FgqV9gQQi1BmEDNwzNokkalDdgFgEoTMnuNnjyheQIOrLP4yO4lg9/ddI4E4AyK5/SKh/6DLJk0decoOUCgPPe3OeMWbi5nAOOpkJ8MIC8uGTdFOn/6zFXr3wb3+Z9WPDh7S+UzFjwr5FCIsX59n/8sei5djgC4C/7cNeWppbvqn8cZOeGSzVd46Ffj4CHWA4eNVOSlYk5QGfx8yEXMvdHkFYYCYSQ9fUhFNFvHWdS7JcnksWjuN8nFQBfJrcu1zrDPy7Gob1tyhdmm6WvT9WYBELpYZj1ePdkIJYNFvZuTjHarpq85cRAAIHQZ4XeEa4sSOVbr0VE29Vg3igEwCGOW+MKWqklA5FyXKHq5Qvesk/xAFQjwrTCkexFqv96ktmgGmhMHA7A17EJYBKWlg0wqOQAAaxN7vk20FjSkrUpQ/44Et96qetIIAdy3W+K+/oJlxL8rwZlkUWYZlRTm+1HiPosBi1L5EqqrQ/+iAwChC+SWZRrXtSjzSBsAAGDLFfazDv1tIsdv4aa7kdoVjHAJEFwGv7QhxbZPdDDSrnnJhQKwDrH3u0RL2COm+XUiLoUIdSixzGVX3+PWPOVAAMCD+34V14hysATg1ys5LnGnDUDwZOMmzhOAU3qYoLA0McislANrIhyrdfbihnfzYHBEOfwAGyxe3I76pw3mFEqZEdlDFckAjEXs+01v+kVGhZ3BxI9doUHS7Iaprqr+2c+Y3A8CO1PLfsFZ4PAGlwyuCvnIYMX3GZN6MnS52H9EV7ZXTtY8wZzvlxQExM4fCeXjPupXBRn2ZL2ggrvIWvIpJyAgICAg0GTIvYnzjPielLKfRI25VHODyIg5TWlXvLUl9uvmlUsOpJT+0DA9TdmWQE04PH+zJluTgQVUM0vVFYaS1UR0K/XxP1TGv0J+3Kx28SP+vdEAhUhza8okv3NhktMUxfLBysfSKv8Ri3PQBQQEBAQEGhP0VhchEtmj3Cl3s8qIOU1pV3y0xeLdbUqlyF+Oom0dMhnmPtdQPU3ZlkBNODLqZk22+Cf+h8r4V8iPm9UufsS/N/goJALiJBZR+JWjXHDE4Dbz3EMhLAEICAgICMQ3CEP09CHlam80S903rYyY05R2xUlbCIuqaKK/S6lkwSPy7NDbojqG+u9tS6AmXJ6/SZMt/on/oTL+FfLjprRLRGpnlSnVQa7416eXnwj9fGxsvcFbBge8FKLNHIkT3BiD+Y8kVOwI90JHjsaFBwEEBAQEBAQEBAQEBAQE4guExZICWLCDoxiTmOL75qQbVUaDER4EEBAQEBAQEBAQEBAQEIhXWIQuEzf6oX03iozYEatj0JsUVNtt9DuzsjoQAACoptvEWa9MbCOJVe2YYeCy9asW3S6NVYUCAgICAo0Ewkj6W7X9A/G161HmVw6zKlNZgEZQiNKyURWG4f74MvnvAmEk/azafnGWAAJxjpA2NzQ1B9imbOtmHcxvVrsEOLkhlwAwffdHJ2f1SMEBAPCEbuOeHtbPELP9DJgis3/PjpmyG9I1AgICAjc7aEtz+rKrmsp7MpSW9HYqWtFNf6tRS0ZtEIVfcZeLUDeOQoTBW/kkOraRTOawq3Hb0rqSlxVmLCvMWFaYPsZX3zqsozltSbGhD1XrEkpL+jgVrcO7N7hdCCN9/GrGwgqlIZb2NmVbNw/hEiASOLK37rjBmTbBk62BMv6pCRDzIaXWAAsAjRSv+m3drIP5jWYXP5ryq40fTayw5jwXlXd55qPSC9umZ9aaTmO67q98ur00L9udu+e3tx5uK60d0ahLIYpWDy7duMuUl+3OO3jyi2nDm4kbw7J/KJi215i5P/120JWX7T6ze9+ix7oqr8c4TChjK6QhbaGq3jO+cuRl77lffa2YtNPM/Lxs97W/o7PulIa9hKo6jl61/RdHXrY7Z/evbw9vL6uqD0secSAv+/i/mosAAOT93t3n/mthf1kDDCYyRr287OiRP9152e5TP/z89oiO8mrtXEEJ2R14KuQpo/IDqk4PvLD6y20Fp48XL++haHiFwUHkLYcu+XJnWV62O+9E+f5Nm8Z30TRswY1fsjVWdwiWvaFF8PMhZ5Wx9kacVHgdRnynFzXL3BV/791FnMiIOU1pV+22HDLTopTS9xOd1qAfZpGEAIYyoqToziYL3tY1EAZPoYAIiOS8av3724oGSUA+sjz13cKMZYXpr1doOvOcLzUWYRIgEjiyN6rEvoGSLf5pgiGlceJ1w1PbLqVHP7uoaoltTpl+sAcP9lj7jQua7jS8U5gyMNSwFnWUw1UYTSmCVD5RlrakMGNZUdpUiyIl6CS/tkKUlo8raXZtVfTVCm33ABrTDK2atosMXR+YMW3CxJ56gILaH8h48dOPZ7c4umDGsjOq/rNnzfsBL+/66lEby7MUouqxdOObQ8+tfH703iJF5/HzZm5Y7fm/Bz/LJWNp1j8WcebwxRPa561/N+uMVd5+2FvTXtlOXugwO9sN3KGMNQ1pC5F1e3HF9jGGOg/cYFKVjD0/68k5e+wsALAB2yVfmEuYYdAXG2b2PrnymayDptS7Z8+fs1tm7jxjv5kBka5FIkD6g32brblySdwmq68KpKkZChQ8/L5AACgaJ4w7P3hlTkkgscvweZNnb3Wf67Ig18sZFI7uwFMhLxkAgMjaTlrx0ezMs+s3rZv08eWikouehlUYEmmnt9bNH+fY8dqEN45Z8LR2d3Tz2bx8vQ7AN9kaqTuEyN5Q8PQhBzH3RpxUWAOClHdgqANyioq0RKMQJzJiTlPaVactGqVKUcCADgT9NEIdMFy9SLOlvI53DmUXgzs/SvVrkUBZ7O6tmrKtyEEYYmS5rqPYviHJa2Uk/a3asUZ2UbK9NG6mPWESIAI4sje6xL5xki3+aYohpXHidaNTxy6cwXUsucNgLWTxTI9qsCmltbbsE2WAd3eLGxClX36PXd3fhwGEtCaaKEdUYeSlUFo+plx7q8S+PsnrpmRDLAmTGPptvbfOnV5dhSyqp5Er2oqtEkZEizs7tI+X4VSq8QQWsaIwVC4BEK2mLpzQ69SXWTO7rVqUUfO6tF3WtC6eLeNeW7DfwcLhHGmnkzOef2DJHxsrGH6lpLcMuEdbumbhmq9zSYCz/140cNTyXh2VK3PN3P0WVbZ75L35L2R10mHe0hyTHqCoxlXJ4CW7bBqViLHn7Fk79fX1h+2VUwq8+cjF38/qnylHAdwXD2+f+9qKr0tIAMAMd7/7/sSHOrZIkaPA2HP2rJsxe90Ba72JCJ70yKIN6wecnzxi+poCkqNCANTQa8ycsffc1fmWZlopDkCV/ZT14Cu7GmWGHRIyf+3dfdYGAgwAwP6T/h79NtzROQXPzqc4QxlrGtAWmnTv7C3jvPPGvjfsfwtqbVKRaQlv8cmcC2fqTY9CXEINfbMGy85Oe/Wz7SUMQM6zsu7n3hg75J3/Z++846Oouj5+pu3O9t3sZrMpBIJSHgER8EU6CoqgWABRsKCIPCodfBQLHQugAgo2moCAz0NTUVHEQhelREpCCwQIIcn2XmanvH8kgZSd2d3JEgPu98MfwMw993fPOffO3Lt3ZvasMbOEPltxYcdBw719TF+uNvbr7t2zH2ncXI+DWexaFF385ay3Kv6+77T87jsX3pajQvIDnGBQ+LuDSIWiZACi7PbqgleQT7r03XgmlAiD/BCm9j2Nge9embd4rw8A4OD+TXF4OQLiku3adAfe7OVDnA8FiNouPP2+lRtn93OsfXDogr0eLmqphLu3zp5Hs70yGe7JrfYRXeQWa8b7LIoBWyJ3b0hxn6v0PkHL+9q13YK4FGEuyN1f6TznUQBAMl2pI9xkCsfZSH8hR7YLoW6Za4XeXYQCAGAM2cuh7emXKIFzSn0/pDj+JDgumgySUg60a26nMBShSzAMoGoU+RQiKV7DaKdMzwIAayV936Y4y78PjDKygTZtG4rQsADAlsjdm1LcBbWzisPa2U1PB6j1Jus+nBMwCACqoPo+j7x5iNCxCArAYv7l6da8ajZrtougtK+XKvLTLm+QcgCI0W163UV/lmk5gQIAyEOqQQ51WwrDARiUPqe2LFFX3FCKqEsAndc03V6+Q4o9bCxeTdYogjR1ps0KE2qOs5Ker/SuPKzGCRHq0nhNM+1XNiEyu0yXN0s4ALStOXN42Pt+hqOofJ7Gyp4tTs1Slb6jDRsF0yb+uoA/XgIyqLBglPkgwvKWLL1X6z4i4QCozZysvZXMYF0l0W4oeToRgFCUhRQiHN7Krb3HJ2tMIwCcj/BvNNpyo8kQ1ysFD0VOG4Fki61XNtAEEIYvKCgjG2jVtaNwBQeA0OcU7q+03qI4NqvV8Ib4sZdvgBUcHGJx1D9lMC93UakkVICGCmSBAtQ03qlrKzcfxK6vdtW2T/Sya5pKPCv00idsfE+F1/YGv4yYDMYhQxVU3sJRG1Ncf+EAUsrKkdPt6lZM4M9qg17EeHF+nCqSsADUBQJtcVnbOYTmylm1L22GDfsxvWQbwQEASisnXU6h9cUfKJh4RoFytwbz3+jbp/vLq38trTG7wEztO6TTxzedNL3+ze8XP+3D7tt5HmvR5yZSdCnKWnCJS+/Xp5kSAUDVbbs1QS4cyPdG0YwZ71m+7vXHiB2Tx4x7fNZXeeGa14pzWxc9/dzox6b/GO41fuOMztqKFVbGlvv1jEkv9h40rO/Yz0+1fOqLDwc2wQAAMOVNd3Vqav9y2qDhY56cvZ3tPW7Dmz30NZJMkjVk3qqVPU/9Z8jLKwopYYMAROadQ4Z3w7Ytmjn0mZF9nx779Fv/O+yp04gsCrZiOgEAmC4nFfOdL7QxECWUCUZ8XUTWw8vfvm3bpMlLCkI1Lu1qkxYPBpRGvbJm8PkOoXKdHFhvmbfcIaw172gJmt0xUwKAKgwpEtfBZX8aHu3eqE3/ju4t205Qikx1It4ogatb9Hr8ueahvd8edVS0gS8oAt2hzgrjkYGm3vnGYBNnHPL9Hwd9J3YdWTlpUHatx3PiMSgAbT+T55V1f+zOm8iE/A4iLtmuSXfgz14BxPiQn+jtIrO79TaiZIvuXVPxGEol3L119jwr6RxErQq/pXr6WOXOVanm5Sk+JqAdaZeVPzGDsLLBZYZeTGirwbw0xUcFdOPM6jQOABA1JdURzk/S7BcpRVvwLEt12YLawX4cBUBY6YAy4z10aGtq2aJUxzFOMdSsu5mNIgNl5E+aUzpA4GuDZYXOV4LUTO+ICgE4n9T7nd78gal0scFdSqmesSr1FeKJ5kHCr7QtMVo+1/lZv3akXVZz/zCH3243DQuEN6dZf6+4b+A1CIBoA6rOAcjX2JYbzYuNllU6T81beR73RoaTPmTRtUK9a41l89PKlqe4D0qZyuRNcF0uufWd9JJ3Uz12nhMQNPiz3rJU7zaH1SPNmqwaPTBSXR659Z30kjnpJe8ZfN4qpxYqKJaRtarcximl5DdzzHF5OCyYNqLqAv54CcgQKCUEjYWdgLcKEFIAADQzSAAeKo02l+PvRCAYZX6FHN7RanrOJfXJnWtSzZ+m2raoAlGnlOJ6ZdRDEdNGINli6pUNNQGE4A8KwhLNQ7hTZf3UaP5cGyR8KRMsqtTY721rekPk2CswwAoODjE46h86mLMXVd4yTtoxdHVv+fXRrtog1Jb04vf17lM1V36FvcEvIxaDcchACAYFYN2VDfFKQi7Am9R4viDaBZEDlq6ctXuk/mLAW4ew8n+SYZkJwsekbJxzzsqbQI6LWBBPydKA65iF1eRkknrcJHVdsoEiUy9BwM+JKkUXb3lhdufvp63J67p9m6PloLZ5E59YdjwUyUwVg43vH3G//Ni4F95efpkF2J9v6Pfo2KonhE7//MM3u30Ah0qa9dr1UN825N7dAQDgvGd3bTwLAABH8y8a+9z3WreW8v+e91SUOr9vx497fLDn4IUmPXYP6tua3LGzYvczoOpWE5a+Nyt754gBs9cXXVnjEDYI4Mpbv3HbHw3h65CIosPzb07JPjpj9O8ODqKGMqGIrQvPembexJwt4x/f5WRUNY+p1IEy/J51P/VHIHDql1WvTF32s4URPESXHDhQgg6e9FT7/Z/lWlB1k6Z6KeAyHAHAtOlqLGzb97/Dr700dLTat2HshdRBihxNHZcA8KbD1xx7vQUAOH6Z9cT/imruH6oZFODvDnVRGLcMRYvet+OO7d8t/WRPoVfV5rmZU1av4gr7LTgcFGlQAM61b/zIj1Z88ObRPU9sWrvuozU//WGpy1NA4pLtGnQHoeyNgXh8KCAiaru8hz8cPs/Syb19yflwDKWYRLtXnMGrkJTyXyy9U15jLx9nlvuPkixAyBWWT/LJM7hAAQI6n6YjQ32VZt+JcwDBcxg2xazuTXnWSQEAaCx8QRqSEXALRp2ThXWEth+F4UAr/LoubGClyXEUBYDQeQJtdlnTlXKeIVl+GUiKX9OaDa032PfhABAsZeXtXdEVAkCICOSWP5EpoeyMvLVTlsZ6bJXzKBsZyCdZIIN2WvaST5HBBc5U3h8grKSXxdCfDqwx2Q9V+d1A0CAARh1S+s/z3GTwuDcyCIdpWfBJgqfJkA8AoNaFPHF1sShdhgIGDM/J3Fm1axfJAgQKcGxKmbJXyL1aKF5XbQIAwbFVl928pLcQ9O0C+HYizADa2CeTY94DBAeAAH/aUKLqAv548csQKlWOhEXLLxUccEG04kaNxb3rdORoh2lq0J+PStqFqI1prstVohOxFH8nqkw5nijzKZSGNA8FkBP6kmUKJvY9V1oxvRKiHYqcNlGTTaBX8tVVzwkgQMQoRwsK5yCDJ0kWyGABjk6xaO6mvF9KY7pQRfRG/GMvJzDACscrqqP+sYM5g4btCJJCYyiw11G7IhI1FyN6Q0CGuLswnlKcmwy6QNnbIz2vDnkA1YcxHJAaL2IQjpeEkXZwabIgtEHCcgAcFjgo0T3kk6qUtAuQtIAUx3yn41qwALi6BBAF38FRd983PVxWqngwDuMRS6HyrJxM6aVfFn93Ute1GZLSadiANpveP2AXuhRIm3TIguJ1f1ijXi/CJacsoDZpCYAAAODp3Z+ZO2Fg75ZpatZjCWoA95IRhshwyUkLKA2aqwGR9nvvs37hvSP7TF9fWrXSGA3+3aDqLmMWbxml+Pz5ER+dqz6/EhdKccRXF5re95WZOTuefvEvd4Q0pk58NqLZZwCY6ubOA996b8I3K+gOA5efDAsd8h/75KkFjddOXH5uPAAAMABQdNHNAGBqowKjQ/YjX+9rtORxy8JZRcEnGVSlIVFw12EjOF20+T+d/spo1q7vS5Om7fww3Gn0d0VXrvYRg8LbHeqiMF4ZqCrdKIPCDV9u2+UEgNOTp3d4eFW/x5t/fPhoSGS7hGDtB5c93GNDq7sefH7ExF9Hjflm2qjnvjznj15QkASOUWIQzt6opeP1YTQE2hUu/XHpgh/jLZVw94r0PJrjJUmhreOci2CAxWQcAIIaQgTgnoLK62JAErgMikYhDJNe7UNXDDHlMzxAUoM4ykqevVTt6bYQgyBXT64tA9GHcMA956M/pFdVIQAgmqDqYaeyRRiXAetBUOBCkV7RxLmrlQIApJXN2AqCazNsh6pVGqPBiER1b3VNaOAbXeAFR9qbvtBhhW+vyleIRf5ZoO51xU6ICJSAMoNCMfLKXCu+ulgsuJfkhvlkelXYwkm7BFCzyne5+v1orbS5Qrzt4o2XoAzBKLPksGJj6/L6CefbJnfl669QHY1juH+nnJIHCYQlO/mkf2mDPqFSAp2IFtyuxKcQ0YUkcgjtl8Ux/xfbK68QPSiR0iYqtXtlTHVV5xokgACRoxxHUHxS/yWQZ0dPgHKEvBHX2BvzAFuDqI5KDubXV7vEEdEb9SeDkrhWaojhrrRZV9eSaHv1pzZ44oX8y5K1sPyvWPDXVNv+8mk7Qh9RUg/ZlS0Y358o3jKIemX+srh31kZZAqDtl1ygSTdIOMpZUgwgzcrSg++gjRLMKYFSiKbbKyufZN6+59VFF2hYtfqDAQsPzZs+/tuB008K3fhyHAeAxvImRIZmAEExBABAkvPEphWjjT99OGrO/sKAtGn/WWtHRC7FsiwAUiUc7LHNP6AD758/98n8UV/85atobuwG/05Q7Z2Tl34zjF387PBp+5yVY7S4UIpDVF2o7q6nu2sM8PXB/lf/84MdRXc91/LlQ1c3zjGegj2rR83ofO+i+/tnrTpZWGW9rPYh1v37x6NuWqbJNKlRf6DJhP/+0O/47ksUgEKhl3MUzfhyJw95fFHowjkqLUgjco0UA6jLs+Bh16VjuZeO5R7cY8k6M3/4I41+XHCeBuALikB3wOqiME4ZHE0xAMo0JQZOBgAoy0Ur9Gqkwa/8rBenwRhgXHk/fzHul00rx6zcPWP6zzuHr7gszvEJH6NEEWP2Ri4r1ocRSLg3GojBChBW2jmAWtRCWzs8078AACAASURBVMc5BKoP5lHgEK565iEACGDeFamequ8NprCrj9hFlMFVFo6hxqsKsbBqpFmrkjv/qwvaEMTg1w93C5SqZr9Y4UO9ikds6hKD+1Jlg2M3WBs+93KA8NwpcJdVllly6a0+RUevbpxbm68rW6kKx7KIFUsoxVJ1WiiuLuaUKhiyKDvQnt1hVSuW+lYRrtExa6WNyLoE48UrI0qUUep7o3lX+TOtKO2sVCIL6J7ycNsybDtwDlSe33yG12wpd8lLvit/KJ2nlDgEFJZncpwjrcheGfVQ1bOQuFVF6JUNIgEE4IlyPEHhuNgGOojmjXjGXjT2AbYqUR31TxvMq4KxhI4DF86wtT4Q32DbJY6I3qhfGWyhxjxdjWoYFEE4g8s02h86W+VHe4F4ndeVrSdZCmXsGFu1v7hknrOIvmsAzyXJNjR7Qh7Tlbc6UW6UmNLDh0rwVoNuVSMAAHij7j2aMKd+OhsUWwpLbX6zOnApz1Y+c6NLcw8Wgb6ZXnjlJXhu/3nI6n53ZnwLNGRO59ZQ8OG8L745cOLo8SN78vieIqxN+OKPc3oNfHd/q4k/L3vmtsovydXBYL2BNx48d8Mz2Ccj/j212nRCXCjFIaou1vn9pMF39H+04s/Q+X8BHJs34u7382v/PoxWvqSktpnahzjKdelisbPRo+8+qj/73y/+9AEAptJK2RDDAW0/d+JosZ/l2BCDkOqEbengWI4DBK9YteILikB3SIzC2GRwnnN5pdD43jaa8kf/FI3/lQHmY2UR3oMam8HY9flP7DxUima0Mohee40h2fC0e5+bMP2x1lU+PZjo7hBL9kaQAQnwYTUS7o2/wyA/spCyJUcflMfy6xMAsFZpGGjy5spvHcsoWQawRVefVwcA9qix6DVDMFS1FBkGRpqB0KVE+Mqfqgv2kWSwVjIMtKxlnF9ZI2gyA8I7tJ6jUqpYEjpLxJ4CnEPuWGhynKO04y3qK4++18FgZPcyKO0HNI3mXYGnsdBhtf3TjOLFKu4Wp655bEt5QqFEgAFEFumD0hzC0YAoBL81LadkmdWjHGfaAAD4SPchDO/skd/hJjmZ+3DNJZDaaSOyLuF48cmIFmW2RBo8TQZPk8EzkitPKCDKMCFD6JKKyRTnlobsgBlZRLBULJ0ornZxTgnlB2mnIMZ7LYuQAOJ6ZfRDV6idNrEkW20aRgIIEDHKMQSlEmlYlgHsZUlMeyUEvRHX2Bt9gI0Yr6iO+kcN5tVBMr1KExI8EO0B8gbVLnFE9Eb9y+AQ1onTAVo5wItZlVdfqsqnsLxQAA9fJsLW6vN/AGCxwC8ytrFHcXNAYUIDf0hE/IpWMaAgMmPjpjpCma0mgExv2qw14S0pLLKFIZD/5cK/Bs99783TszccV/WY8lIz89ejvrewYkuxl//Yf+mVoe+9/sh/1uaWSZo8NP7ZlqG/3isQfnqeKfr+4zVjFs9e/a5iwde/l0GzW7TVvwgQmVDR4QJ48fkxg8+uP1YSIhr9Swtgi9k1nPfEuqFD2PWbJn//vrXL2G8v0HU0WC8o2k35T8fA1jc22Y23tDACAEDYdvFCSYATDGWCEVUX4yoquLpHRt3IA4AVnz1VGuAAEGWbcc/f7jh26qIXMTTvOXriHcSpj78vDoPgIUBljZo3uyn7pk539n9hcHvp3vfvWXzSDwCoRCNDaVuVHQQcE2YQuYYU/a0NPK3HxMEZF/IvlAVRw81dX5zUkTi5+NtLYQCBoNC83QFNEadQlAwucHLjktNDps2cNi6wfHe41fiZPfBDc9aeo0QbFFBIZN4358UmJ3Yfyiv1o7pmD48ZYPLt+a3W6wViJ2qyKTuMXzm5nxp6Bg48Ou9cOMZScSKUvQIyxPlQgIR7o/4N8oPmeEkJ7o79xdcOhetPd+rDlhRE47ex0h5OhUzi/EUS5Ucsh9y5z2XsW2ZUabz5BAMsnsZS+5RU5SpFZBkOuetPV+oDZoNE6y3EwEjVeIl0ZGg8ZAFNN5fSogy5EEQXRuPahxSSeFakwXOlulFW5j2Dz47UxWDkdrFY8LAEHnSk3AvecxiYqrQLYcn7nKSHDF7CWZYlWlAoIIw/pttmoVAyKGVGkFvc6tshxDGYV+Y9VTnqsRh1CUU6uDR3QJBisKDMd6LihxQkJUi2BFYWlt/lVJAVUY5eFy8ItUsZ7uLSPwDM3rRAlI08sbUrIlHixSNDVJQ5Fxl0OlUDncrNypCbI9q61CYk9DMRpSB/JxLZrpDUtZWUP2I1jVS7D0rDPkAU1aMcMQHE9cpohwTSRiDZBGjICSBEtKAgN7k1PZigAySdnUol7v5Vem1GbP4oRx1gI8YrmqP+WYN5+SETJQkAnu1X3+/FCrWWv6Ld9TakdvFCMISBBSmNYoBowkQGx7pw2lf5AFREbwjLEDQoQgaioySpNJETVHT3SjHSsUhDVfnRXtRFCtgCtddeqn7CifgVjng+0nGFiiUA6a1jl/86JKX8H6M+XTcKCqf2eXR+IQ30xU9fHK1667UJCz5U0rYDm2fe9+aVDziLKeU/tvjBl5H5Yyd8O1gBEC7L/23aiDnry6KEn3XuHffIpMtTRz//9oJXUYCg9eS+I6XRumSoYNWjEzULxz2/9mENAUD7HYWHdkX6aZOXQMH6p17I+WP1zC//fbL3x2cCdTZ4rZGkt/s/Lej7v7Xj6n5k56oh9406FBAMZaJJdF2oTGe69YFJI8YZCADf5T+2f3D/3C9OUFEOgbT55M9XDlfZTx39c+UrT364Jc9evsKGkBopwoarfjyDoRhUVoddAKgsJafLkHGjG6fgwHku/b5tft9315U/3SIQFN7ugIlUKE4GUGfnjxgvmz1p8tLVb4Hv1E+LH5i6ofwZC5EGBRRiXMjQ7eW5z2UpEABf4YGt459asLX29zhjJ1qyBS/u/dXSt59j9z4LHXuphBNRhjgfCpFwb9S7QT4QVto5iJjj2TrOoYENaVa/XXufVSEBpkjhWKTzRH1ejkODm0xmm1Pb3anvygEgzCW541DlZINPBocG1qdZXA5td1vqvQCAMKVkyB2tLppwLzOgg52a4T4UA2AR1iYNRi1VlTDhWZVKvGLWP+uhPlCHw2IN8roXoXcZrBq7trcttS8AV6VdCIegjOxeq1oBAMA5Jf5vUh2FdamrHDS0JcVncKiftEAYD26T+q6+YBkJbU3xpNlVQy0qGgv+KPWdwIBD6QIp3c5teMENgDCFCvtCrfdKlEWkDQAAcGVK1wm34V+E+7do091Y2xWJaAkQWYa4tKEkzk/08IhL+6IXBeDcksB3qfaon5gW14mEFCL03tRSr0tzt0/7lBsBAD8e/FVSJcqREkBcrxQ4JJw2AJGTTZgGngCC0qMEhWPIe20qBXBW0r1M77pU924eCYEoRx9gI8VL2FH/tMGcRmkbIn/QbAJg7ZLgbwbrL3I66gym4bSLHyTTZZzgreifPSymHhD+NqP0F5wDAW8IyRAyKEYGJ+ljSevMMmWS0O/60h0KquoXzMVepCAs8fxIqh4P0r8qqShv1ecRfJv8ZjHlkiRJkiRJknpDEUidYcG3p5f+RFzLpZrrREbCqc92NbS6JCH9jDLp7vSSH+qmpz7rSlIVAc/fqMlWb2Bh9eQSjdlYvIyMb6W+4Q+VDV+hOG7Udomj4XujDgqRxo70sSHPnDSPNY7lgyWPZZb/JRHfQU+SJEmSJEmuJehNXpIgXHHulLtRZSSc+mxXw6iLwzs6VSoiVIaiLd1yOeY7WVc99VlXkqoIZNSNmmwNn4Y/VDZ8heK4UdsljobvDTEKybAkjUOUIdVgL/xu9NlE7qFILgEkSZIkSZKGDcKSnYNImSYQz1L3DSsj4dRnuxpIXQiHqhmyp1el4sBP+LcYnHF9hvrvrStJVYQ8f4MmW8On4Q+VDV+hOG7IdhGUbkqpShPhSGh1Vtlh/udjE+sN0TIEEKUQbeROHe3DWCz0e4p5S7QXOgpUnnwQIEmSJEmSJEmSJEmSJEmSNCwQDksLY5E+HMVaJbTYNyddrzLqTPJBgCRJkiRJkiRJkiRJkiRJ0lDhEKZUcs0/2ne9yEgcifoMer2C6toPeWfK0NYkAACqbT9myqtjWkgTZR0z9l64euncDrJEGUySJEmSJNcIhJX2dOh6hhvWrkd5SPWwQ5XBAVwDhSgjH2w2Dgg1rCb/XSCstIdD16OBJUCSBk4yba5rqg6w9VnXjTqY36jtSiLIdbkEgBk6PjpuaKd0HAAAT2k/4umHexgTtp8BU+b07NwmR35duiZJkiRJbnTQm21ZCy9ry+/JUEba1aNsxtT/rUY1GdVBlCHlnV5Sc20UIizeLCjVc9eoyQLturZ16bymhRezF17MXngxa1iwduuwNrbM+ZeM3ehqh1BG2s2jbB7dvZHbhbCyxy9nzzGrjIlsb33WdeMQLQFiQSB7a44bgmkTOdnqKOOfmgAJH1KqDbAAcI3iVbuuG3Uwv97aJY76vLSJo54VVp3noorbnvmo5PSmSTnVptOYvuOrn24uOZPry9/+25sPtZRVj2jcpVB1myFLN//iPpPry9v261sDWskbVIpc52C6LsOm//TbHu+ZXN/xbTvnPtZOdTXGUUKZWCF1qQtVd33pS/eZ3O33aa4Uk906ueBMru/Kn/1T7pBFPcSbbJhp4O4zuYf+3ZgAAFD0eHen7685PeV1aDCZPfiVhft/P+A7k+s7+sPPbw1so6jULhQURNnsgQVrt1rP5PrO7Dny+cQBjSR1UihSRvkJ6lvvf37ZF5sKjx26tKiTsu4GI4Mobu4//4tvS8/k+s4cLtu1bt2o27R1W3ATl2zXqjtEyl5+EeJ8KGgy0d5oIAavwkruCKA2uc/89146GoiMhFOf7apel1tunZte8n6qxxHxZA5JCWMoS6TF922yyHVdAWHxdBrIMKEQZfXvrysepGHFI2UZ717MXngx6w2ztq3I+dK1IkoCxIJA9saV2NdRsjV86mFIuTbxuu6p3i6V3zC1qGKJbVqpoa8fj/RY+/ULmuUxvnMxvTffsBZ3lKMZjKcUSameKM2cfzF7YVHmBLsyPeIkv7pClFGMKG50ZVX0NbOuYxhNaIZWTNsJY7v7X5o4ekxnA0Bh9ROyX/j046lN9r/90sLj6p5Tp8z4AS9r99p+JyeyFGa89/M1k7seWfLM0D3WjLumzp62TW5r+9Ium7h+m6Q6kpwB80a3OrP63aHHHYpWD7858dXN1OnWU3N9IBzKRFOXuhB5+xcWbx5mrPHADSZTy7lTU56ctt3FAQAXdp4LRjkkkGyEvkkqQNYD3Rstv3BO0mJodzXIMrKVKPjFJiLN4KTl2w9enVYcTr1twIxxUzf6Tt72dn5AMCiIutOCtbP6n1wycsiOImXbUTMmr1nm/78HPsunxCoUJQMAEHnLsYs/mppzYvW6VWM/Pl9UfNZfN4O8yG59c9XsEe4tr4+eedCOZ95ye/ugM1CX7i8u2a5Rd+DJXj5E+lCAhHujgRisAkkpWrP0bgVNx1rimtBAZCSc+mxXjboYlC5BAQMmHPFshN5tvHyW4UpEfd6Zr10s7vkoI6RDwqWJu7eqz7piB2HJR8r0bSSuNWkBByvt6dANt3BzTa6SBjPtiZIAMSCQvfEl9vWTbA2f+hhSrk28rndqtAtncT1HbTE6LnJ4jl/d15reXFf6iSosurs1GBBVSHG3S9MziAHwtiaeKMdkMPZSKKMYVqa7SepanRbw0fJ+9pSxLPOWIVDjTq+mQg41MMgFnXmjlCUYSVu37vFSnM6wHMZiVhSF8iUAstmEOaO7HP1i6OT2S+dmVz0uu2XoxNv8G0a8/vYuNwf78mS3Hnlp5P3z/1xrZkWVAmP3oX3lJya+9tnmYhYg71l5x5Mzh/d7Z88as/AkAFXdMui92c8PvVWPBUryrAaAoipHpX3nb3Vq1QTrytu+csIbq/e5yq3hjR+Z9/2UnjkKFMB3dt/m6a8v/qqYAgDMeNe77495sE2TdAUKrCtv+6qXpq7a7ailAU8bNHfN6l6nxg2ctLyQEjAIgBq7DJs2/O472zZtpJPhAHTpT0MfeHXrNZlh80IVrLyr28pwmAUA2HUk1KnHmtvbpuO5BbRgKBNNHepC0+6ZumFEYMbw9x7+39vVNqnIdWTg0pG808drTY94DqECyUbosxUXdhw03NvH9OVqY7/u3j37kcbN9TiYKZFtpou/nPVWxd/3nZbffefC23JUSH6AEwxK015360qWz1n+VT4FcOI/c3sPXtSljWpJvo0TqVCUDECU3V5d8ArySZe+G8+EEmGQH8LUvqcx8N0r8xbv9QEAHNy/KQ4vR0Bcsl2b7sCbvXyI86EAUduFp9+3cuPsfo61Dw5dsNfDRS2VcPfW2fNotlcmwz251T6ii9xizXifRTFgS+TuDSnuc5XeJ2h5X7u2WxCXIswFufsrnec8CgBIpit1hJtM4Tgb6S/kyHYh1C1zrdC7i1AAAIwhezm0Pf0SJXBOqe+HFMefBMdFk0FSyoF2ze0UhiJ0CYYBVI0in0IkxWsY7ZTpWQBgraTv2xRn+feBUUY20KZtQxEaFgDYErl7U4q7oHZWcVg7u+npALXeZN2HcwIGAUAVVN/nkTcPEToWQQFYzL883ZpXzWbNdhGU9vVSRX7a5Q1SDgAxuk2vu+jPMi0nUAAAeUg1yKFuS2E4AIPS59SWJeqKG0oRdQmg85qm28t3SLGHjcWryRpFkKbOtFlhQs1xVtLzld6Vh9U4IUJdGq9pZoVNAGB2mS5vlnAAaFtz5vCw9/0MR1H5PI2VPVucmqUqfUcbNgqmTfx1AX+8BGRQYcEo80GE5S1Zeq/WfUTCAVCbOVl7K5nBukqi3VDydCIAoSgLKUQ4vJVbe49P1phGADgf4d9otOVGkyGuVwoeipw2AskWW69soAkgDF9QUEY20KprR+EKDgChzyncX2m9RXFsVqvhDfFjL98AKzg4xOKof8pgXu6iUkmoAA0VyAIFqGm8U9dWbj6IXV/tqm2f6GXXNJV4VuilT9j4ngqv7Q1+GTEZjEOGKqi8haM2prj+wgGklJUjp9vVrZjAn9UGvYjx4vw4VSRhAagLBNrisrZzCM2Vs2pf2gwb9mN6yTaCAwCUVk66nELriz9QMPGMAuVuDea/0bdP95dX/1paY3aBmdp3SKePbzppev2b3y9+2ofdt/M81qLPTaTYUqhcJwfWW+Ytv9tjrXlHS9DsjpkSEAQz3rN83euPETsmjxn3+Kyv8sI1rxXnti56+rnRj03/Mdxr/MYZnbUVK6yMLffrGZNe7D1oWN+xn59q+dQXHw5sggEAYMqb7urU1P7ltEHDxzw5ezvbe9yGN3voaySZJGvIvFUre576z5CXVxRSwgYBiMw7hwzvhm1bNHPoMyP7Pj326bf+d9hTpxFZFGzFdAIAMF1OKuY7X2hjIEooE4z4uoish5e/fdu2SZOXFIRqXNrVJi0eDCiNemXN4PMdEkg2VGFIkbgOLvvT8Gj3Rm36d3Rv2XaCUmSqE/FGCVzdotfjzzUP7f32qKOiDXxBAcpacIlL79enmRIBQNVtuzVBLhzI93IJUBiPDDT1zjcGmzjjkO//OOg7sevIykmDsmt1yXgMCkDbz+R5Zd0fu/MmMiG/g4hLtmvSHfizVwAxPuQnervI7G69jSjZonvXVDyGUgl3b509z0o6B1Grwm+pnj5WuXNVqnl5io8JaEfaZeVPzCCsbHCZoRcT2mowL03xUQHdOLM6jQMARE1JdYTzkzT7RUrRFjzLUl22oHawH0cBEFY6oMx4Dx3amlq2KNVxjFMMNetuZqPIQBn5k+aUDhD42mBZofOVIDXTO6JCAM4n9X6nN39gKl1scJdSqmesSn2FeKJ5kPArbUuMls91ftavHWmX1dw/zOG3203DAuHNadbfK+4beA0CINqAqnMA8jW25UbzYqNllc5T81aex72R4aQPWXStUO9aY9n8tLLlKe6DUqYyeRNcl0tufSe95N1Uj53nBAQN/qy3LNW7zWH1SLMmq0YPjFSXR259J71kTnrJewaft8qphQqKZWStKrdxSin5zRxzXB4OC6aNqLqAP14CMgRKCUFjYSfgrQKEFAAAzQwSgIdKo83l+DsRCEaZXyGHd7SannNJfXLnmlTzp6m2LapA1CmluF4Z9VDEtBFItph6ZUNNACH4g4KwRPMQ7lRZPzWaP9cGCV/KBIsqNfZ725reEDn2CgywgoNDDI76hw7m7EWVt4yTdgxd3Vt+fbSrNgi1Jb34fb37VM2VX2Fv8MuIxWAcMhCCQQFYd2VDvJKQC/AmNZ4viHZB5IClK2ftHqm/GPDWIaz8n2RYZoLwMSkb55yz8iaQ4yIWxFOyNOA6ZmE1OZmkHjdJXZdsoMjUSxDwc6JKlRw4UIIOnvRU+/2f5VpQdZOmeingMlz4FgBvfP+I++XHxr3w9vLLLMD+fEO/R8dWPSF0+ucfvtntAzhU0qzXrof6tiH37g4AAOc9u2vjWQAAOJp/0djnvte6tZT/97ynotT5fTt+3OODPQcvNOmxe1Df1uSOnRW7nwFVt5qw9L1Z2TtHDJi9vujKGoewQQBX3vqN2/5oCF+HRBQdnn9zSvbRGaN/d3AQNZQJRWxdeNYz8ybmbBn/+C4no6p5TKUOlOH3rPupPwKBU7+semXqsp8tjOAhmj/ZMG26Ggvb9v3v8GsvDR2t9m0YeyF1kCJHU8clALzp8DXHXm8BAI5fZj3xv6Ka+4dqBgXo4i0vzO78/bQ1eV23b3O0HNQ2b+ITy46HoG4K45ahaNH7dtyx/buln+wp9KraPDdzyupVXGG/BYeDIg0KwLn2jR/50YoP3jy654lNa9d9tOanPyxid14AiE22a9AdhLI3BuLxoYCIqO3yHv5w+DxLJ/f2JefDMZRiEu1ecQavQlLKf7H0TnmNvXycWe4/SrIAIVdYPsknz+ACBQjofJqODPVVmn0nzgEEz2HYFLO6N+VZJwUAoLHwBWlIRsAtGHVOFtYR2n4UhgOt8Ou6sIGVJsdRFABC5wm02WVNV8p5hmT5ZSApfk1rNrTeYN+HA0CwlJW3d0VXCAAhIpBb/kSmhLIz8tZOWRrrsVXOo2xkIJ9kgQzaadlLPkUGFzhTebVEWEkvi6E/HVhjsh+q8ruBoEEAjDqk9J/nueTyuDcyCIdpWfBJgqfJkA8AIFTzjMTVxaJ0GQoYMDwnc2fVrl0kCxAowLEpZcpeIfdqoXhdtQkABMdWXXbzkt5C0LcL4NuJMANoY59MjnkPEBwAAvxpQ4mqC/jjxS9DqFQ5EhYtv1RwwAXRihs1Fveu05GjHaapQX8+KmkXojamuS5XiU7EUvydqDLleKLMp1Aa0jwUQE7oS5YpmNj3XGnF9EqIdihy2kRNNoFeyVdXPSeAABGjHC0onIMMniRZIIMFODrFormb8n4pjelCFdEb8Y+9nMAAKxyvqI76xw7mDBq2I0gKjaHAXkftikjUXIzoDQEZ4u7CeEpxbjLoAmVvj/S8OuQBVB/GcEBqvIhBOF4SRtrBpcmC0AYJywFwWOCgRPeQT6pS0i5A0gJSHPOdjmvBAuDqEkAUfAdH3X3f9HBZqeLBOIxHKuU/9slTCxqvnbj83HgAAGAAoOiiW/hnL2mTDllQvO4Pa9TrRbjklAXUJi0BEAAAPL37M3MnDOzdMk3NeixBDeBeMsIQGS45aQGlQXM1INJ+733WL7x3ZJ/p60urVhqjwb8bVN1lzOItoxSfPz/io3PV51fiQimO+OpC0/u+MjNnx9Mv/uWOkMbUic9GNPsMAFPd3HngW+9N+GYF3WHg8pNhoUP8yYapjQqMDtmPfL2v0ZLHLQtnFQWfZFCVhkTBXYeN4HTR5v90+iujWbu+L02atvPDcKfR3xVdSe2IQUHlWTmZ0ku/LP7upK5rMySl07ABbTa9f8DO1kVhvDJQVbpRBoUbvty2ywkApydP7/Dwqn6PN//48NGQyHYJwdoPLnu4x4ZWdz34/IiJv44a8820Uc99ec4fvaAgiRujRCGcvVFLx+vDaAi0K1z649IFP8ZbKuHuFel5NMdLkkJbxzkXwQCLyTgABDWECMA9BZXXxYAkcBkUjUIYJr3ah64YYspneICkBnGUlTx7qdrTbSEGQa6eXFsGog/hgHvOR39Ir6pCAEA0QdXDTmWLMC4D1oOgwIUivaKJc1crBQBIK5uxFQTXZtgOVas0RoMRiere6prQwDe6wAuOtDd9ocMK316VrxCL/LNA3euKnRARKAFlBoVi5JW5Vnx1sVhwL8kN88n0qrCFk3YJoGaV73L1+9FaaXOFeNvFGy9BGYJRZslhxcbW5fUTzrdN7srXX6E6Gsdw/045JQ8SCEt28kn/0gZ9QqUEOhEteN/GpxDRhSRyCO2XxTH/F9srrxA9KJHSJiq1e2VMdVXnGiSAAJGjHEdQfFL/JZBnR0+AcoS8EdfYG/MAW4OojkoO5tdXu8QR0Rv1J4OSuFZqiOGutFlX15Joe/WnNnjihfzLkrWw/K9Y8NdU2/7yaTtCH1FSD9mVLRjfnyjeMoh6Zf6yuHfWRlkCoO2XXKBJN0g4yllSDCDNytKD76CNEswpwVKs+/ePR920TJNpUqP+QJMJ//2h3/Hdl6Lc9XIcB4DG8iZEhmYAQTEEAECS88SmFaONP304as7+woC0af9Za0dELsWyLABSJRzssc0/oAPvnz/3yfxRX/zlq2hu7Ab/TlDtnZOXfjOMXfzs8Gn7nJVjtLhQikNUXajurqe7awzw9cH+V//zgx1Fdz3X8uVDVzfOMZ6CPatHzeh876L7+2etOllYZb2s9iHeZFMo9HKOohlf7uQhjy8KXThHpQVpRK6RYgB1eRY87Lp0LPfSsdyDeyxZZ+YPf6TRjwvO0wB8QUE03V5Z+STzjMEnEQAAIABJREFU9j2vLrpAw6rVHwxYeGje9PHfDpx+EquLwjhlcDTFACjTlBg4GQCgLBet0KuRBr/ys16cBmOAceX9/MW4XzatHLNy94zpP+8cvuKyOMdfgzFKBDFmb+SyYn0YgYR7o4EYrABhpZ0DqEUttHWcQ6D6YB4FDuGqZx4CgADmXZHqqfreYAq7+ohdRBlcZeEYaryqEAurRpq1Krnzv7qgDUEMfv1wt0CpavaLFT7Uq3jEpi4xuC9VNjh2g7Xhcy8HCM+dAndZZZkll97qU3T06sa5tfm6spWqcCyLWLGEUixVp4Xi6mJOqYIhi7ID7dkdVrViqW8V4Rods1baiKxLMF68MqJEGaW+N5p3lT/TitLOSiWygO4pD7ctw7YD50Dl+c1neM2Wcpe85Lvyh9J5SolDQGF5Jsc50orslVEPVT0LiVtVhF7ZIBJAAJ4oxxMUjottoINo3ohn7EVjH2CrEtVR/7TBvCoYS+g4cOEMW+sD8Q22XeKI6I36lcEWaszT1aiGQRGEM7hMo/2hs1V+tBeI13ld2XqSpVDGjrFV+4tL5jmL6LsG8FySbEOzJ+QxXXmrE+VGiSk9fKgEbzXoVjUCAIA36t6jCXPqp7PBOpbiKNeli8XORo+++6j+7H+/+DPK+6+D5/afh6zud2fGt0BD5nRuDQUfzvvimwMnjh4/sieP7ynC2oQv/jin18B397ea+POyZ26r/JJcHQzWG3jjwXM3PIN9MuLfU6tNJ8SFUhyi6mKd308afEf/Ryv+DJ3/F8CxeSPufj+/9u/DaOVLSmqbqX0oUrJhKq2UDTEc0PZzJ44W+1mODTEIqU7Ylg6O5ThA8IpVK76gYKnNb1YHLuXZyhcy6NLcg0Wgb6YnEqUwNhmc51xeKTS+t42m/NE/ReN/ZYD5WFmE96DGZjB2ff4TOw+VohmtDKLXXmNINjzt3ucmTH+sdZVPDya6O8SSvRFkQAJ8WI2Ee+PvMMiPLKRsydEH5bH8+gQArFUaBpq8ufJbxzJKlgFs0dXn1QGAPWoses0QDFUtRYaBkWYgdCkRvvKn6oJ9JBmslQwDLWsZ51fWCJrMgPAOreeolCqWhM4SsacA55A7Fpoc5yjteIv6yqPvdTAY2b0MSvsBTaN5V+BpLHRYbf80o3ixirvFqWse21KeUCgRYACRRfqgNIdwNCAKwW9NyylZZvUox5k2AAA+0n0Iwzt75He4SU7mPlxzCaR22oisSzhefDKiRZktkQZPk8HTZPCM5MoTCogyTMgQuqRiMsW5pSE7YEYWESwVSyeKq12cU0L5QdopiPFeyyIkgLheGf3QFWqnTSzJVpuGkQACRIxyDEGpRBqWZQB7WRLTXglBb8Q19kYfYCPGK6qj/lGDeXWQTK/ShAQPRHuAvEG1SxwRvVH/MjiEdeJ0gFYO8GJW5dWXqvIpLC8UwMOXibC1+vwfAFgs8IuMbexR3BxQmNDAHxIRv6JVDCiIzNi4qY5QZqsJINObNmtNeEsKi2xhCOR/ufCvwXPfe/P07A3HVT2mvNTM/PWo7y2s+FKorFHzZjdl39Tpzv4vDG4v3fv+PYtPRtsDzBR9//GaMYtnr35XseDr38ug2S3a6l8EiEyo6HABvPj8mMFn1x8rCRGN/qUFsMXsGs57Yt3QIez6TZO/f9/aZey3F+g6GqwXFO2m/KdjYOsbm+zGW1oYAQAgbLt4oSTACYYywYiqi3EVFVzdI6Nu5AHAis+eKg1wAIiyzbjnb3ccO3XRixia9xw98Q7i1MffF4dB8BBvsqESjQylbVV2EHBMmEHkGlL0tzbwtB4TB2dcyL9QFkQNN3d9cVJH4uTiby+FAQSCQl/+Y/+lV4a+9/oj/1mbWyZp8tD4Z1uG/nqvIABoijiFomRwgZMbl5weMm3mtHGB5bvDrcbP7IEfmrP2HCXaoIBCIvO+OS82ObH7UF6pH9U1e3jMAJNvz2+1Xi8QO1GTTdlh/MrJ/dTQM3Dg0XnnwjGWihOh7BWQIc6HAiTcG/VvkB80x0tKcHfsL752KFx/ulMftqQgGr+NlfZwKmQS5y+SKD9iOeTOfS5j3zKjSuPNJxhg8TSW2qekKlcpIstwyF1/ulIfMBskWm8hBkaqxkukI0PjIQtourmUFmXIhSC6MBrXPqSQxLMiDZ4r1Y2yMu8ZfHakLgYjt4vFgocl8KAj5V7wnsPAVKVdCEve5yQ9ZPASzrIs0YJCAWH8Md02C4WSQSkzgtziVt8OIY7BvDLvqcpRj8WoSyjSwaW5A4IUgwVlvhMVP6QgKUGyJbCysPwup4KsiHL0unhBqF3KcBeX/gFg9qYFomzkia1dEYkSLx4ZoqLMucig06ka6FRuVobcHNHWpTYhoZ+JKAX5O5HIdoWkrq2k/BGraaTafVAa9gGiqB7liAkgrldGOySQNgLJJkBDTgAhogUFucmt6cEEHSDp7FQqcfev0mszYvNHOeoAGzFe0Rz1zxrMyw+ZKEkA8Gy/+n4vVqi1/BXtrrchtYsXgiEMLEhpFANEEyYyONaF077KB6AiekNYhqBBETIQHSVJpYmcoKK7V4qRjkUaqsqP9qIuUsAWqL32UvUTTsSvcMTzkY4rVCwBSG8du/zXISnl/xj16bpRUDi1z6PzC2mgL3764mjVW69NWPChkrYd2DzzvjevfMBZVClp88mfrxyusp86+ufKV578cEuePYaVF9a5d9wjky5PHf382wteRQGC1pP7jpRG65KhglWPTtQsHPf82oc1BADtdxQe2hXpp01eAgXrn3oh54/VM7/898neH58J1NngtUaS3u7/tKDv/9aOq/uRnauG3DfqUEAwlIkm0XWhMp3p1gcmjRhnIAB8l//Y/sH9c784QUU5xJtsCKmRImy46sczGIpBZXXYBYDKUnK6DBk3unEKDpzn0u/b5vd9d91JCkAwKP5jix98GZk/dsK3gxUA4bL836aNmLO+jAVMpEJxMoA6O3/EeNnsSZOXrn4LfKd+WvzA1A3lz1iINCigEONChm4vz30uS4EA+AoPbB3/1IKttb/HGTvRki14ce+vlr79HLv3WejYSyWciDLE+VCIhHuj3g3ygbDSzkHEHM/WcQ4NbEiz+u3a+6wKCTBFCscinSfq83IcGtxkMtuc2u5OfVcOAGEuyR2HKicbfDI4NLA+zeJyaLvbUu8FAIQpJUPuaHXRhHuZAR3s1Az3oRgAi7A2aTBqqaqECc+qVOIVs/5ZD/WBOhwWa5DXvQi9y2DV2LW9bal9Abgq7UI4BGVk91rVCgAAzinxf5PqKKxLXeWgoS0pPoND/aQFwnhwm9R39QXLSGhriifNrhpqUdFY8Eep7wQGHEoXSOl2bsMLbgCEKVTYF2q9V6IsIm0AAIArU7pOuA3/Ity/RZvuxtquSERLgMgyxKUNJXF+oodHXNoXvSgA55YEvku1R/3EtLhOJKQQofemlnpdmrt92qfcCAD48eCvkipRjpQA4nqlwCHhtAGInGzCNPAEEJQeJSgcQ95rUymAs5LuZXrXpbp380gIRDn6ABspXsKO+qcN5jRK2xD5g2YTAGuXBH8zWH+R01FnMA2nXfwgmS7jBG9F/+xhMfWA8LcZpb/gHAh4Q0iGkEExMjhJH0taZ5Ypk4R+15fuUFBV976LvUhBWOL5kVQ9HqR/VVK1t6TFAHKb/GYx5ZIkSZIkSZJ6QxFInWHBt6eX/kRcy6Wa60RGwqnPdjW0uiQh/Ywy6e70kh/qpqc+60pSFQHP36jJVm9gYfXkEo3ZWLyMjG+lvuEPlQ1foThu1HaJo+F7ow4KkcaO9LEhz5w0jzWO5YMlj2WW/yUR30FPkiRJkiRJriXoTV6SIFxx7pS7UWUknPpsV8Ooi8M7OlUqIlSGoi3dcjnmO1lXPfVZV5KqCGTUjZpsDZ+GP1Q2fIXiuFHbJY6G7w0xCsmwJI1DlCHVYC/8bvTZRO6hSC4BJEmSJEmShg3Ckp2DSJkmEM9S9w0rI+HUZ7saSF0Ih6oZsqdXpeLAT/i3GJxxfYb6760rSVWEPH+DJlvDp+EPlQ1foThuyHYRlG5KqUoT4UhodVbZYf7nYxPrDdEyBBClEG3kTh3tw1gs9HuKeUu0FzoKVJ58ECBJkiRJkiRJkiRJkiRJkjQsEA5LC2ORPhzFWiW02DcnXa8y6kzyQYAkSZIkSZIkSZIkSZIkSdJQ4RCmVHLNP9p3vchIHIn6DHq9guraD3lnytDWJAAAqm0/ZsqrY1pIE2UdM/ZeuHrp3A6yRBlMkiRJkiTXCISV9nToeoYb1q5HeUj1sEOVwQFcA4UoIx9sNg4INawm/10grLSHQ9ejgSVAkgZOMm2ua6oOsPVZ1406mN+o7UoiyHW5BIAZOj46bmindBwAAE9pP+Lph3sYE7afAVPm9OzcJkd+XbomSZIkSW500JttWQsva8vvyVBG2tWjbMbU/61GNRnVQZQh5Z1eUnNtFCIs3iwo1XPXqMkC7bq2dem8poUXsxdezF54MWtYsHbrsDa2zPmXjN3oaodQRtrNo2we3b2R24WwsscvZ88xq4yJbG991nXjEC0BYkEge2uOG4JpEznZ6ijjn5oACR9Sqg2wAHCN4lW7rht1ML/e2iWO+ry0iaOeFVad56KK2575qOT0pkk51abTmL7jq59uLjmT68vf/tubD7WUVY8oTynxBpPUBUzXZdj0n37b4z2T6zu+befcx9qprsa4Pj1fp7pQddeXvnSfyd1+n+ZKMdmtkwvO5Pqu/Nk/5Q5Z1EOous2QpZt/cZ/J9eVt+/WtAa3kFfYw08DdZ3IP/bsxAQCg6PHuTt9fc3rK69BgMnvwKwv3/37AdybXd/SHn98a2EZRqV0oKIiy2QML1m61nsn1ndlz5POJAxpJ6qRQpIzyE9S33v/8si82FR47dGlRJ2XdDUYGUdzcf/4X35aeyfWdOVy2a926Ubdp67bgJi7ZrlV3iJS9/CLE+VDQZKK90UAMXoWV3BFAbXKf+e+9dDQQGQmnPttVvS633Do3veT9VI8j4skckhLGUJZIi+/bZJHrugLC4uk0kGFCIcrq319XPEjDikfKMt69mL3wYtYbZm1bkfOla0WUBIgFgeyNK7Gvo2Rr+NTDkHJt4nXdU71dKr9halHFEtu0UkNfPx7psfbrFzTLY3znYnpvvmEt7ihHMxhPKZJSPVGaOf9i9sKizAl2ZXrESX51hSijGFHc6Mqq6GtmXccwmtAMrZibE8Z29780cfSYzgaAwuonZL/w6cdTm+x/+6WFx9U9p06Z8QNe1u61/U5OsJRIg0nqiiRnwLzRrc6sfnfocYei1cNvTnx1M3W69dRcH9Sv5+tSFyJv/8LizcOMNR64wWRqOXdqypPTtrs4AODCznPBKIcw472fr5nc9ciSZ4busWbcNXX2tG1yW9uXdtlYIPRNUgGyHujeaPmFc5IWQ7urQZaRrUTBL+4CAkAzOGn59oNXpxWHU28bMGPc1I2+k7e9nR8QDAqi7rRg7az+J5eMHLKjSNl21IzJa5b5/++Bz/IpsQpFyQAARN5y7OKPpuacWL1u1diPzxcVn/XXzSAvslvfXDV7hHvL66NnHrTjmbfc3j7oDIj1OoDYZLtG3YEne/kQ6UMBEu6NBmKwCiSlaM3SuxU0HWuJa0IDkZFw6rNdNepiULoEBQyYcMSzEXq38fJZhisR9XlnvnaxuOejjJAOCZcm7t6qPuuKHYQlHynTt5G41qQFHKy0p0M33MLNNblKGsy0J0oCxIBA9saX2NdPsjV86mNIuTbxut6p0S6cxfUctcXouMjhOX51X2t6c13pJ6qw6O7WYEBUIcXdLk3PIAbA25p4ohyTwdhLoYxiWJnuJqlrdVrAR8v72VPGssxbhkCNO72aCjnUwCAXdOaNUpZgJG3dusdLcTrDchiLWVEUypcAyGYT5ozucvSLoZPbL52bXfW47JahE2/zbxjx+tu73Bzsy5PdeuSlkffP/3OtmRUoJdKgEKjqlkHvzX5+6K16LFCSZzUAFFU5Ku07f6tTqyZYV972lRPeWL3PVW4Nb/zIvO+n9MxRoAC+s/s2T3998VfFFABgxrvefX/Mg22apCtQYF1521e9NHXVbkctDXjaoLlrVvc6NW7gpOWFlIBBANTYZdi04Xff2bZpI50MB6BLfxr6wKtb63dtgypYeVe3leEwCwCw60ioU481t7dNx3MLaNGeF0Md6kLT7pm6YURgxvD3Hv7f29U2qch1ZODSkbzTx2tNj3gOocbuQ/vKT0x87bPNxSxA3rPyjidnDu/3zp41ZpbQZysu7DhouLeP6cvVxn7dvXv2I42b63EwUyLbTBd/Oeutir/vOy2/+86Ft+WokPwAJxiUpr3u1pUsn7P8q3wK4MR/5vYevKhLG9WSfBsnUqEoGYAou7264BXkky59N54JJcIgP4SpfU9j4LtX5i3e6wMAOLh/UxxejoC4ZLs23YE3e/kQ50MBorYLT79v5cbZ/RxrHxy6YK+Hi1oq4e6ts+fRbK9Mhntyq31EF7nFmvE+i2LAlsjdG1Lc5yq9T9DyvnZttyAuRZgLcvdXOs95FACQTFfqCDeZwnE20l/Ike1CqFvmWqF3F6EAABhD9nJoe/olSuCcUt8PKY4/CY6LJoOklAPtmtspDEXoEgwDqBpFPoVIitcw2inTswDAWknftynO8u8Do4xsoE3bhiI0LACwJXL3phR3Qe2s4rB2dtPTAWq9yboP5wQMAoAqqL7PI28eInQsggKwmH95ujWvms2a7SIo7eulivy0yxukHABidJted9GfZVpOoAAA8pBqkEPdlsJwAAalz6ktS9QVN5Qi6hJA5zVNt5fvkGIPG4tXkzWKIE2dabPChJrjrKTnK70rD6txQoS6NF7TzAqbAMDsMl3eLOEA0LbmzOFh7/sZjqLyeRore7Y4NUtV+o42bBRMm/jrAv54CcigwoJR5oMIy1uy9F6t+4iEA6A2c7L2VjKDdZVEu6Hk6UQAQlEWUohweCu39h6frDGNAHA+wr/RaMuNJkNcrxQ8FDltBJIttl7ZQBNAGL6goIxsoFXXjsIVHABCn1O4v9J6i+LYrFbDG+LHXr4BVnBwiMVR/5TBvNxFpZJQARoqkAUKUNN4p66t3HwQu77aVds+0cuuaSrxrNBLn7DxPRVe2xv8MmIyGIcMVVB5C0dtTHH9hQNIKStHTrerWzGBP6sNehHjxflxqkjCAlAXCLTFZW3nEJorZ9W+tBk27Mf0km0EBwAorZx0OYXWF3+gYOIZBcrdGsx/o2+f7i+v/rW0xuwCM7XvkE4f33TS9Po3v1/8tA+7b+d5rEWfm0jBUmIN8oMZ71m+7vXHiB2Tx4x7fNZXeeGa14pzWxc9/dzox6b/GO41fuOMztqKFVbGlvv1jEkv9h40rO/Yz0+1fOqLDwc2wQAAMOVNd3Vqav9y2qDhY56cvZ3tPW7Dmz30NZJMkjVk3qqVPU/9Z8jLKwopYYMAROadQ4Z3w7Ytmjn0mZF9nx779Fv/O+yp04gsCrZiOgEAmC4nFfOdL7QxINrzohBfF5H18PK3b9s2afKSglCNS7vapMWDAaVRr6wZfL5DqFwnB9Zb5i13CGvNO1qCZnfMlACgCkOKxHVw2Z+GR7s3atO/o3vLthOUIlOdiDdK4OoWvR5/rnlo77dHHRVt4AsKUNaCS1x6vz7NlAgAqm7brQly4UC+l0uAwnhkoKl3vjHYxBmHfP/HQd+JXUdWThqULamLQQFo+5k8r6z7Y3feRCbkdxBxyXZNugN/9gogxof8RG8Xmd2ttxElW3TvmorHUCrh7q2z51lJ5yBqVfgt1dPHKneuSjUvT/ExAe1Iu6z8iRmElQ0uM/RiQlsN5qUpPiqgG2dWp3EAgKgpqY5wfpJmv0gp2oJnWarLFtQO9uMoAMJKB5QZ76FDW1PLFqU6jnGKoWbdzWwUGSgjf9Kc0gECXxssK3S+EqRmekdUCMD5pN7v9OYPTKWLDe5SSvWMVamvEE80DxJ+pW2J0fK5zs/6tSPtspr7hzn8drtpWCC8Oc36e8V9A69BAEQbUHUOQL7GttxoXmy0rNJ5at7K87g3Mpz0IYuuFepdayybn1a2PMV9UMpUJm+C63LJre+kl7yb6rHznICgwZ/1lqV6tzmsHmnWZNXogZHq8sit76SXzEkvec/g81Y5tVBBsYysVeU2Tiklv5ljjsvDYcG0EVUX8MdLQIZAKSFoLOwEvFWAkAIAoJlBAvBQabS5HH8nAsEo8yvk8I5W03MuqU/uXJNq/jTVtkUViDqlFNcrox6KmDYCyRZTr2yoCSAEf1AQlmgewp0q66dG8+faIOFLmWBRpcZ+b1vTGyLHXoEBVnBwiMFR/9DBnL2o8pZx0o6hq3vLr4921QahtqQXv693n6q58ivsDX4ZsRiMQwZCMCgA665siFcScgHepMbzBdEuiBywdOWs3SP1FwPeOoSV/5MMy0wQPiZl45xzVt4EclzEgnhKlgZcxyysJieT1OMmqeuSDRSZegkCfo63lHiDfCob3z/ifvmxcS+8vfwyC7A/39Dv0bFVTwid/vmHb3b7AA6VNOu166G+bci9uwMAwHnP7tp4FgAAjuZfNPa577VuLeX/Pe+pKHV+344f9/hgz8ELTXrsHtS3NbljZ8XuZ0DVrSYsfW9W9s4RA2avL7qykCFsEMCVt37jtj8awtchEUWH59+ckn10xujfHRyI9bw4xNaFZz0zb2LOlvGP73IyqprHVOpAGX7Pup/6IxA49cuqV6Yu+9nCCB6iSw4cKEEHT3qq/f7Pci2ouklTvRRwGY4AYNp0NRa27fvf4ddeGjpa7dsw9kLqIEWOpo5LAHjT4WuOvd4CABy/zHrif0U19w/VDArQxVtemN35+2lr8rpu3+ZoOaht3sQnlh0PQd0Uxi1D0aL37bhj+3dLP9lT6FW1eW7mlNWruMJ+Cw4HRRoUgHPtGz/yoxUfvHl0zxOb1q77aM1Pf1jE7rwAED2kJL47CGVvDMTjQwERUdvlPfzh8HmWTu7tS86HYyjFJNq94gxehaSU/2LpnfIae/k4s9x/lGQBQq6wfJJPnsEFChDQ+TQdGeqrNPtOnAMInsOwKWZ1b8qzTgoAQGPhC9KQjIBbMOqcLKwjtP0oDAda4dd1YQMrTY6jKACEzhNos8uarpTzDMnyy0BS/JrWbGi9wb4PB4BgKStv74quEABCRCC3/IlMCWVn5K2dsjTWY6ucR9nIQD7JAhm007KXfIoMLnCm8v4AYSW9LIb+dGCNyX6oyu8GggYBMOqQ0n+e5yaDx72RQThMy4JPEjxNhnwAAKGaZySuLhaly1DAgOE5mTurdu0iWYBAAY5NKVP2CrlXC8Xrqk0AIDi26rKbl/QWgr5dAN9OhBlAG/tkcsx7gOAAEOBPG+r/2Tvv+Ciq7YGfKbs723ezm02lBGkKiIA/BKQoWEBRAUXBgiL6VDr4nqiPJjZABRSsFAEpPpqKiiAWuigltIQWEiAJKZvtfervj/RkZ2Z3ssSA+/3kD/TuPffcc849M/fOvTOS2gJ+f/GrIVSrHDmLll8qOOCCaMXdGIt71xmJcY7kGUF/NirvEiI3Jbmu1PBO2Fr8g6gy5Hi8zKehIqR/KICcNhUtUzOR77kySBmVIFYUPmxEg01gVPK11cgBIEBYL4s5hXMQwTMEC0QwB0enW/V3kd71ioguVGGtEX3u5QQSrLC/RA31j03mDErZESSBxlBgr6F+hUU0FsNaQ0ANaXdhPLU4NxF0gWaAR3FRF/IAaqIwHJA6L2IQ9pecUXRz6dMhtFHOcgAcFjgsNz7kU2g1tAuQpIACx3znolqwAKheAhDBd3jsXffNokqK1Q9G2UBMBCpadkuHwnV/loleL6iis1bQJRtkAAEAwFP6PDNv8rAB7ZN0rMca1APuJcKkSKrojBU0Zn21QxSD3v98ELX/+XtmbSiu2WiEAv9uUF2v8Uu2jlV/+cKYj3Nrz69i7koBomsLTRn4yhsZu55+6Zg7TBiTpz8f0+ZzAEzbuuewt9+f/N0Kutuw5WcooSL/yU+fWthi7ZTluZMAAIABgPzLbgYA01nUGB2yH//2QLMvHrcumpMffJJBtXoCBXcDNoLT+Vv+3eNYapsuA1+eOnP3R1SPcT/kV13twzoFVaVnpCkKfl3ywxnj7W2QhB6jhnba/MEhO9sQDaNVA9WmWJSQt3H9jj1OADg3bVa3IasGPd72k6MnQhL7JQRrP7xsSN+NHe588IUxU34bO/67mWOfW5/rF68oiLTAjtlwEI5e0drR2lAMgX5RxduXLtweba2Ym1ei5dEML0EIbR3nXDIGWEzJASCoOSQD3JNTeV0MyANXQN0shGGK6jFUJYgpn+EBkhjEUVb+bEGtI2whBkGqf1xfDcQUwgH3XBQ/pFdTQwBA9EHtEKemHYUrgfUgKHChcK9o4ty1agEA0sFm6QDBtam2I7UajVBgWETNW1snNPCdMfCiI+ktX+io2rdf68vD+B8LNKytyAnJAkWgSSVRjKiaa0XXFosF9xPcKJ/SpKWsnKJXAC3V+q7Uvh+tFzZVRNsvXn8JqiHoZZYYVWjpWN6+zPlOsrvy9VeokcYx3L9bRaqCMoQlevgUxwxBn1AtgUFEC25X4tMQMYbkKggdVEYx/5c6KqsQd0q4sBGl/qiMqK3aXIUAECC8l6Nwik/hLwBVc/EAKEfIGlHl3ogTbB1EDRVP5tdWv6QR1hqNpwYpd63Uy0a7kuZUryXR9tqnNnj8hdxoTV9U/k8s+Fui7WD5tB2hj2vIh+yadozvLxRvH0S9Sn9J1DtrRZYAaHuBC/QpZjlHOosKARTp6SbwHbaRUi/aEgVyHAeARvImRIZmAEExBABAnvHE5hXjLD9/NHbuwbyAotXgOWvHhK/FsiwAUsMd7MkocpqwAAAgAElEQVQtP6HD7l8w78nssV8d81VoF7nAvxPUcMe0pd+NYpc8O3rmAWdljo65KwWQ1BZqvPPpPnozfHt4cPX//HBX/p3Ptf/PkeqNc4wnZ9/qsbN73rv4/sHpq87k1Vgvq1/Euv/4ZOwNy/RpyTrUH2g5+eufBp3aW0ACqNUmFUfSjC9z2ojHF4cu5ZJJQRpR6RUYQEPOglOugpOZBSczD++zpp9fMPqRZtsXXqQB+JyC6Hu/svJJ5p27X118iYZVqz8cuujI/FmTvh826wzWEA2jVIOjSQZAk6TBwMkAAGm9XAb9m+nxqsd6UQqMAMaV9ctXE3/dvHL8yr2zZ/2ye/SKK9IMLy2wYz0cIoze8HWl2jAMMbdGExFYAcIqegZQq05o6ziHQO1kLgKHcLUjDwFAAPOuSPTUfG8wiVUfsQurBldZOYIWqzXEKO3zpQatyvm1MWhDELPfNNotUKuW/EK1D/WqH7HpiszugsoORy6wPnzm5QDhuVPgrmitc1SKm33q7l7jRLch21iyUktFsogViSulUnNaKK0t5qw2GLJqutGevZS2A0t+r6bqDMx6YSOxLUF/8aoh4mWU/NFSuqf8TCtKOys1UQaMT3m4Ham2XTgHWs/vPvNrtoQ7VUU/lB9K56klDQENyyM5ykwrcVSKFtX8FRK1VmFGZZMIAAF4vByNUzguskQHYtaIJveikSfYmoga6p+WzGuCsTIjBy6cYet9IL7J9ksaYa3RuGqwefrSWTpUz6AIwpldyeP8oQs1HtoL+OuisWQDwZIoY8fYmuPFpfRcQEy3B/BMguhEs6dVEV15ayNyo8QUHz1ShHd4+GYdAgCAN+vTtyVz9ucLQeFqsRYYzD14EdL73JUW3QINkdGzI+R8NP+r7w6dPnHq+L4svlOE9aEub5/bf9h7BztM+WXZM7dUfkmuAQIbDbzF8Hkbn8E+HfOvGbWmEzF3pQCS2mKdP04dftvgRyv+Ri44BnBy/pi7Psiu/3wYrXxJSX0x9Ys40lVwudDZ7NH3HjVd+Pqrv3wAgGkNCjbEcEDbc0+fKPSzHBtiEEIXsy0dHMtxgOAVq1Z8TsES27bWBQqybOULGXRx5uF8MLUxyWKlYWRqcJ7crGJocW8nffnRP3WLG1Oh9GRJmPegRiYwcv38p3cfKUZTO5glr71GEGx40r3PTZ71WMcanx6M9XCIJHrDqAExsGEtYm6Nv0MgP8qQpj1HH1ZF8vQJANgyBQU00bryW8dKUpkKbH71eXUAYE9Y8l8zB0M1axEUMIpUhC6WUVV/NRfsw6nBlhEU0Mr2UX5lTUYTqUDtMnhOKMhCeeiCLPIQ4Bwqx6JkRy5pmGTVVR19b4DA8OZlUNoPaBLNuwJPY6GjOvtnqYVLtNxNTmPbyJbyhFyJAAOIMtwHpTmEowFRC35rWkUq02p7OcqwAQDwEe4jGN7To7rNTXBK99G6SyD1w0ZiW8L+4lNDzMtskSJ4jgieI4Ln5VUnFBANJVMidFHFZIpzK0J2wCwsIlgrkkEUVb84p5z0g6JHEOO9loUJAGmjUryoivphE0mw1adpBIAAYb0cgVMqUVDKVGCvyCPaKyFojahyr3iCDesvUUP9o5J5bZA0ryYZCR4SO0DepPoljbDWaHw1OIR14nSA1gz1YmWa6peq8mlYXimAU1dkVFnt+T8AsFjgVyXbwqNuHVAno4E/5RKeolUkFERpadHKKNM018mASGnVpqPMW5SXb6MgkL1+0bHh895/69ybG09p+05/uU3pt2N/tLLCtaQK5IPJ//GTNeOXvLn6PfXCb/8ogTY3GWp/ESA8ofyjOfDSC+OHX9hwsigka3ajAcAWsWk47+l1I0ewGzZP+/GDsl4Tvr9EN1Bgo6DuMv3f3QPb/rvZbrmpnQUAACjb5UtFAU6S5SUizcuu/JzqPTK6Zh4ArPDC2eIAB4BoOk184VbHybOXvYi5bb9xU26Tnf3kx0IKBIsAVTZr2+aG5jf0uGPwi8O7KvZ/cPeSM34AQOV6JUrbauwg4BiKQVR6QvK3NvCkvlOGp17KvlQSRM2tb39panfZmSXfF1AAAk6hr/x5sOCVke+//si/12aWyFs+NOnZ9qFj7+cEAE2QpqEkNbjAmU1fnBsx842ZEwPL91IdJr3RFz8yd20uKVmggIaytPvmvtTy9N4jWcV+1NhmyPihyb59v9d7vUDkiAabptukldMG6aBf4NCj83OpCGtFiVD0CqghzYYCxNwajS+QHzTDS8hxd+QvvnaoXX+5E4dYExC938Yq+jrVSrnzV7nIQyyHynnAZRlYYtHqvdkyBlg8iSUPaMjKVYrwajhUrr9ciQ+UmuUGbx4GFrLOS6TDQ+MhK+h7uzRWTciFIEYKjWofUkjuWZEEzxUbx5Yx75t9dqQhAsP3i8WCR+XwoCPhXvDmYpBco18IS9znJDxEsABnWVbWjkQBYfwR3TYLuZJByVIEucmtuxVCHIN5ld6zlVmPxcgCFOnm0t8GQZLBgkrf6YoHKUhCkGgPrJJS3elUExVeFm+LF4Tco6F6uUwPALM/KSCykSeyfoVFxF88akjyMucigk6ndphTs0UTcnOyzi5dMhL6RSZSkX8QSexXSOHaRqgeKUt+Xuc+rKB8gKhrezlsAEgblWJFAmEjEGwCNOUAEELMKcgNbn1fJugAeU+nRoO7f1NcnYzN72XRBBvWX2KG+mcl8/KiZFIeALy5X3e/F8szWI+J3fU2pX7xImNkZhYUNIoBoqdkqRzrwmlf5QGosNYQVkNQoAQ1ECMpT6RlGUF1H68CIxyL9WSNh/aSLlLA5ui89mLdE07Er3ZE85GOKiqWABQ3T1j+24iE8v8Y+9m6sZA3455HF+TRQF/+7KVx2rdfm7zwIw1tO7TljfveqvqAM38tiQL5O+rcP/GRqVdmjHvhnYWvogDBsjMHjheLDclQzqpHp+gXTXxh7RC9DID2O/KO7An3aJOXQM6Gp17M+HP1G+v/dWbAJ+cDDRZ4tZGndPk/A5gGv72rej+yc9WI+8YeCUizvERi3RaqNCbf/MDUMRPNMgDflT93fnj/vK9OkyJFoGg77cuVo7X2syf+WvnKkx9tzbKXr7AhhF6BsFTNj2cwJIMqG7ALAFUmZPQaMXFciwQcOE/BHzsWDHxv3RkSQNAp/pNLHvwPsmDC5O+HqwGokuzfZ46Zu6GEBUyihtLUAPLCgjGTlG9OnbZ09dvgO/vzkgdmbCw/YyFRoICGGBcy9/7PvOfS1QiAL+/QtklPLdxW/3uckSMWbMHL+3+zDhzk2HvASkdeK+aEVUOaDYWIuTUaXSAfCKvoGURKo9k6zqGBjUllfrvhvjK1HJh8tWOx0SN6Xo5Dg5uTS21OQx+n6XYOAGEKVI4jlZMNPjU4NLAhyepyGPrYEu8FAIQpJkJusbZomXuZGR3u1I/2oRgAi7A2RVC0Vk0omWdVouyVUtOzHvJDHUVJFchrXoTeYy7T2w0DbIkDAbga/UI4BGWU95bp1AAAnFPu/y7RkdeQtspBQ1sTfGaH7kkrUHhwh8JX/YJlJLQtwZNk1460amksuF3hO40Bh9I5CrqL2/yiGwBh8tT2RQZvlZclhA0AAHAlGtdpt/lGmft3selupP0Kh1gAhFdDWtiQcuenJnjEZXjJiwJwbnngh0S76CempQ0iIQ0Ren9isdelv8tneMqNAIAfD/4mr+HlcAEgbVQKFAmHDUD4YBOmiQeAoOoiTuEY4l6bVg1cGeFeZnIVNHyYh0PAy+IJNpy/hA31T0vmNErbENWDpckArF0e/N1c9quKFp3BNJ1+8YOkuSyTvRXjs681uS9Q36cW/4pzIGANITWEBEpRg5PfY03qyTIl8tAfpuJdarLmF8ylXqSAknu2E9rHg/RvGrL+lrQIQG5RtZZSL06cOHHixGk01IHE2VZ8Z0rxz7KruVRzjagRcxqzX02tLXnINLtEsTel6KeG6dOYbcWpiYDlr9dgazQwSjetSF9qKVxGRLdS3/RTZdPXUBrXa7+k0fSt0QANkRaOlAkhz9wkT1kUywdfPJZW/o9YfAc9Tpw4ceLEuZqgN3gJmcwV5U6561WNmNOY/WoabXF4d6dWKwuVoGh7t0qF+c40VJ/GbCtOTQQi6noNtqZP00+VTV9DaVyv/ZJG07eGFA0JSp7EIZqQdrgX/rD4bBL3UMSXAOLEiRMnTtMGYYmeQaREH4hmqfu6VSPmNGa/mkhbCIfqGKKfV6vlwC/zbzU7o/oM9d/bVpyaCFn+Og22pk/TT5VNX0NpXJf9kpHG6cVafZiS0Or0kqP852Njaw3JagggSUO0mTtxnA9jsdAfCaVbxV7oKNB4/CBAnDhx4sSJEydOnDhx4sRpWiAclkRh4T4cxZbJaalvTrpW1Wgw8YMAceLEiRMnTpw4ceLEiROnqcIhTLH8qn+071pRI3bE6jPojQpq7Dri3ekjOxIAAKih6/jpr45vp4iVdMwyYNHqpfO6KWMlME6cOHHiXCUQVtHPYexHNa1dj6qQdohDm8oBXAUNUUY1vNQyNNS0uvx3gbCKvg5j3yYWAHGaOPGwuaapmWAbs63rNZlfr/2KI8g1uQSAmbs/OnFkjxQcAABP6Drm6SF9LTHbz4BpMvr17JShuiZNEydOnDjXO2hrW/qiK4byezKUUdzu0bRhGv9Wo5YatUE0Ic0dXkJ/dTREWLxNUGHirlKXBfp1ddsyepMXXW6+6HLzRZfTRwXr9w7rZEtbUGDpTdcqQhlFb4+mrbh5w/cLYZWPX2k+t1RriWV/G7Ot6wexAIgEgeitmzcEwyZ8sDVQjX9qAMQ8pdRKsABwlfxVv63rNZlfa/2SRmNe2qTRyBrWnOei6lue+bjo3OapGbWm05ip+6ufbSk6n+nL3vn7Ww+1V9b2KE8t6UVxGgJm7DVq1s+/7/Oez/Sd2rF73mNdtNU+FnFlbBVpSFuo7vaX17vPZ+68T19VTXnztJzzmb6qv4PTb1OKFqG6TiOWbvnVfT7Tl7Xjt7eHdlBVyMOSh+09n3nkXy1kAADqvu/t9h2b20/VgA4TzYe/sujgH4d85zN9J3765e1hndSVugs5BdG0eWDh2m1l5zN95/cd/3LK0GbyBmkoUY3yH+huvv+FZV9tzjt5pGBxD03DBYYHUbcevOCr74vPZ/rOHy3Zs27d2FsMDVtwkx5sYbvcQMJFL78C0mwoKFKSNQRqSTdvuDyvue2dopqj9Xym73zmvhFJYp/crgErvy2A2lS+0r/37qKJqBFzGrNftdtyq8rmpRR9kOhxhP0xhyRQGMrKkqL7Nln4tqpAWDyFBoKSqSVJ/fvbigYFpX6kJPW9y80XXU7/b6mhs8T50tVCJAAiQSB6owrsayjYmj6NkFKujr+ueWr3S+s3z8ivWGKbWWwe6MfDHWu/dkHTPZZ3L6cM4EtrUXtZTGA0tQhS+0Rx2oLLzRflp022a1LCTvJra4gy6jGFzapWRV8rNXan0JhGaMWNmczS5f6Xp4wb39MMkFf7B81f/OyTGS0PvvPyolO6fjOmz/4JL+ny2kEnJ1hLYlGchiLPGDp/XIfzq98becqh7jDkrSmvbiHPdZyR6QNhV8aahrSFqLq+uGTLKEudAzeYUqfizk5/cuZOFwcAHOXMDYoUYZZ7v1wz7fbjXzwzcl9Z6p0z3py5Q2Xr/PIeGwsyU8tEgPQH+jRbfilX3m5kHx0oU5trUPBLu4AA0AxOWL//8NWZhVTiLUNnT5yxyXfmlneyA4JOQXQ9Fq6dM/jMF8+P2JWv6Tx29rQ1y/z/98Dn2aRUDSWpAQCIqv2EJR/PyDi9et2qCZ9czC+84G+YQF6UN7+16s0x7q2vj3vjsB1Pu+nWrkFnQKrVAaQHG2+XGwJP9PIh0YYCSLOGQC2J5uXN8/6sT+5/bIMCqTTAI7OXDnP/cNwV+QE7glR3ZOm9apqOuMrVoImoEXMas1912mJQuggFDBgq7K8Req/lygWGK5L0eWe+frG45+PUkBGhimN3b9WYbUUOwhKPlJg6yV1rkgIOVtHPYRxt5eYlu4qazLRHJAAiQCB6owvsayfYmj6NkVKujr+uder0C2dxE0dutTguc3iGXzewLKWtsfhTLSV5uDUZEG1IfZdL3y+IAfD2JhovRyQw8looox5VYrxB4VqdFPDRqkH2hAks87Y5UOdOr66GHGpmkEvG0k0KVsbIO7uNjxfjdKr1aBQPTIQpXwIg2kyeO67Xia9GTuu6dF7zmuXKm0ZOucW/cczr7+xxc3AgS3nz8Zefv3/BX2tLWYFaEouEQLU3Pfz+my+MvNmEBYqyyswA+TVKFQMXbHMadDLWlbVz5eT/rj7gKp9S4C0emf/j9H4ZahTAd+HAllmvL/mmkAQAzHLnex+Mf7BTyxQ1Cqwra+eql2es2uuoNxHBkx6et2Z1/7MTh01dnkcKCARALb1GzRx91x2dWzUzKnEAuvjnkQ+8uu2qzLB5IXNW3tl7JUWxAAB7jod69F1za+cUPDOHFnRlrGlAW2jS3TM2jgnMHv3+kP+9U2uTispIBAqOZ507VW96xFOEWvqMHKg6PeW1z7cUsgBZz6q6n3lj9KB3960pZWWm5upLuw6b770nef1qy6A+3n0HkRZtTTiUkhL7TBeun/N2xb8PnFPddceiWzK0SHaAE3RKq/53GYuWz13+TTYJcPrf8wYMX9yrk/aLbBsnUUNJagCi6f3qwleQT3sN3HQ+FAuB/MiSu/azBH54Zf6S/T4AgMMHN0dh5TBIDDaBLkuHN3r5kGZDAUStgafct3LTm4Mcax8cuXC/hxOtJdG8/Hme9RYcPVpQ/m9Zy8ffGZJ4eP7YhaeD4aSEBW3uVSpxT2atj+giN5WlfsCiGLBFKvfGBHdupfVltGqg3dA7iCsQ5pLK/Y3RcxEFACTNlTjGTSRwnI3w53FElxDqVrpWmNz5KAAAxhD9HYZ+frkGOKfC91OC4y8Zx4mpQZCaYXb9rSSGInQRhgHU9CKfhkiC1zzOqTSxAMCWEb7vE5zl3wdGGeUwm6ETKdOzAMAWqdybE9w59aOKw7rYk58OkBuSyw7gnIBAANAGdfd5VG1DMiOLoAAs5l+eUpZVS2bdfslIw+vF6uykKxsVHABicSe/7qI/T7OeRgEAVCHtww5dZxLDARiUztVZv9BV3FBKaEsAozd5lr18hxR71FK4mqhTBWnlTJpDyXQcV0Z4vjG5srA6PwjTlt6b/EaFTABg9iRf2SLnANDOpWmjKe8HqY788nkaq3y2MDFdW/yugbIIhk30bQG/vwTUIClBL/Mho1TtWXq/wX1czgGQWzhl1zIilXUVid1Q8gwiACEvC2mIcHgHt+Fun7IFjQBwPpl/k8WWKaaGtFEpWBQ+bASCLbJR2UQDQBg+p6CMcliZsQuJqzkAhM5Vu78xePOj2KxWxxrScy9fghVMDpEY6p+SzMtNVCwP5aChHGUgB02e5DR2VpUexq6tftWXL+tv17eSe1aYFE/Y+LaW17cGvxoRCYxCDW1QcxNHbkpwHcMBFGQZR8yy6zowgb9qJb2w/uL8OJkvZwHISzK03RVDzxCaqWJ1vqTZNmx7StEOGQcAKK2ZeiWBNhV+qGaiyQLlZg1m/3fgPX3+s/q34jqzCyy5a7cU+tTmM8mvf/fH5c/uYQ/svoi1u+cGQrCW1CJ+MMvdy9e9/phs17TxEx+f800WVfdakbtt8dPPjXts1naq/6RNs3saKlZYGVvmt7OnvjTg4VEDJ3x5tv1TX300rCUGAIBpbrizRyv7+pkPjx7/5Js72QETN77V11QnyOTpI+avWtnv7L9H/GdFHiksEECWdseI0b2xHYvfGPnM8wOfnvD02/876mlQRpYEWzGdAADMmJGI+S7m2RgQcWWMkd6WLH3I8ndu2TF12hc5oTqXdl2yAQ8GNBaTpq7z+YpQlVEFrLfEW24QtizrRBHavHuaHABVmxPkrsPL/jI/2qdZp8Hd3Vt3nCbVabpYHEvBde36P/5c29D+7084KvrA5xQgy3IKuJRB97TRIACornPvlsilQ9leLgYaRqMGmnjHf4cnc5YRP/552Hd6z/GVUx9uLm+IQAFo+/ksr7LPY3fcQMTkOYjEYIuoy1HCH70CSLEhP+LWIJr3HmBBiXZ9bk/EI6gldSxHkudR0wOvjuteuGri2otRLMKw8p5BtEztt9YOnzKVc1Vi6fIEHxMwPG9Xlp+YQVjl8BJzfya0zVy6NMFHBowTS3VJHAAgOlJhlDk/TbJfJtWdwbMs0WULGob7cRQAYRVDSyx306FtiSWLEx0nOfXIUmNrVkQNlFE9WZrQDQLfmq0rjL4ipG54h9UQgPMpvD+YSj9MLl5idheT2mfKNKYK5WVtgzK/xvaFxfql0c/6Dc/blXX3D3P4rfbkUQFqS1LZHxX3DbwCARBDQNszANl623JL6RKLdZXRU/dWnse84eEUD1mNHVDvWkvJgqSS5QnuwwqmMnhj3JZLVfZuStF7iR47zw8QNPiLybrU5C6ldM+X6tPrjMBwbXlUZe+mFM1NKXrf7PPW+GmemmQZZYfKbZwKUtWaY06pKEowbCS1Bfz+ElBDoJYQNEY5Ae8QkCkAANC0oAzwULHYXI5/EIGgl/k15PDuZcnPuRQ+lXNNYulnibat2oDolFLaqBQtChs2AsEW0ahsqgEgBL9TEFbWNoQ7tWWfWUq/NARlvoTJVm1i5Pe2da0hMfcKJFjB5BCBof6hyZy9rPWWcIruoeq95ddGv+qDkFtTCj8wuc/WXfkVtga/GpEIjEINRMagAKy7siNeecgFeMs65wvELogcsHTlrN2j8BcC3jGElf8nQSmTgTqpYKOcc1beBHJc2Ip4QroeXCetrD4jjTDhyQpXgQ3UaSY5An6Ot5aAQJEiPi1b3D/mftXJiS++s/wKC3Aw2zzo0Qk1fxA698tP3+31ARwpatN/z0MDOxH79wYAgPNe2LPpAgAAnMi+bLnnvtd6t1d9fdFTUevigV3b9/lg3+FLLfvufXhgR2LX7sqtwKiuw+Sl789pvnvM0Dc35FfdxQoLBHBlbdi048+m8HVIRN3thbemNz8xe9wfDg5EXRlTpLaFpz8zf0rG1kmP73Ey2rplWl2gBL973c+DEQic/XXVKzOW/WJlBIvookOHitDhU5/qevDzTCuqa9nKpABciSMAmCFFh1G2A/87+trLI8fpfBsnXEp8WJ2hb+ASAN5q9JqTr7cDAMevc574X37d/UN1nQJ04dYX3+z548w1Wbfv3OFo/3DnrClPLDsVgoZpGLUa6nYDbsUdO39Y+um+PK+203NvTF+9issbtPBoUKJAATjXgUnPf7ziw7dO7Hti89p1H6/5+U+r1J0XAJKDTazLEhQRiN4IiMaGAkqIWsN79KPR86093Du/uEhFUIuRnDdE87yizaOzBiA/TVh/MhqbE6TmRpberaqzl48rVflPECxAyEWppvpUqVwgBwGjT9+dIb9Jsu/GOYBgLoZNL9UNID3rFAAANEZdUoSUMrgJI3OVlFFmGERiONBqv7EXG1iZ7DiBAkDoogxtc0V/O+k8T7D8aiAJfn1HNrTBbD+AA0CwmFV1dYlrCAAhWSCz/ESmnLQzqo5OZRLrsVXOo2xEIJtggQjaaeXLPnUqFzhfeX+AsPL+VvNgOrAm2X6kxnMDQYEAGHlE47/Ic5PBY97wIBxmYMEnD54jQj4AgHorObFri0XpEhQwYHh+zF3QufYQLEAgB8eml2j6h9yrhfxVLRMAZBxbc9nNS3jzwNQlgO+UUQygLXxKFeY9JOMAEOAPG1JSW8DvL341hGqVI2fR8ksFB1wQrRiKLO5dZyTGOZJnBP3ZqLxLiNyU5LpSwztha/EPosqQ4/Eyn4aKkP6hAHLaVLRMzUS+BdEgZVSCWFH4sBENNoFRyddWIweAAGG9LOYUzkEEzxAsEMEcHJ1u1d9FetcrIrpQhbVG9LmXE0iwwv4SNdQ/NpkzKGVHkAQaQ4G9hvoVFtFYDGsNATWk3YXx1OLcRNAFmgEexUVdyAOoicJwQOq8iEHYX3JG0c2lT4fQRjnLAXBY4LDc+JBPodXQLkCSAgoc852LasECoHoJQATf4bF33TeLKilWPxhlAzFB0bJbOhSu+7NM9HpBFZ21gi7ZIAMIAACe0ueZeZOHDWifpGM91qAecC8RJkVSRWesoDHrqx2iGPT+54Oo/c/fM2tDcc1GIxT4d4Pqeo1fsnWs+ssXxnycW3t+1ZiujK4tNGXgK29k7Hr6pWPuMGFMnv58TJvPATBt657D3n5/8ncr6G7Dlp+hhIr8Jz99amGLtVOW504CAAAGAPIvuxkATGdRY3TIfvzbA82+eNy6aE5+8EkG1eoJFNwNOBdB52/5d49jqW26DHx56szdH1E9xv2QX3W1D+sUVJWekaYo+HXJD2eMt7dBEnqMGtpp8weH7GxDNIxWDVSbYlFC3sb1O/Y4AeDctFndhqwa9HjbT46eCEnslxCs/fCyIX03drjzwRfGTPlt7PjvZo59bn1uQ8/hRxlsYl2OFuHoFa0drQ3FELAGVbx96cLt0daKfd5Q/d/Tw1uX/fjibls0Iw7N8BKE0NZxziVjgMWUHACCmkMywD05ldfFgDxwBdTNQhimqG6zShBTPsMDJDGIo6z82YJa5xdCDIJU/7i+GogphAPuuSh+SK+mhgCA6IPaIU5NOwpXAutBUOBC4V7RxLlr1QIApIPN0gGCa1NtR2o1GqHAsIiat7ZOaOA7Y+BFR9JbvtBRtW+/1peHRb7AH11bkROSBYpAk0qiGFE114quLRYL7ie4UT6lSUtZOUWvAFqq9V2pfT9aL2yqiLZfvP4SVEPQyywxqtDSsbx9mfOdZHfl669QI41juH+3ilQFZQhL9PApjhmCPqFaAoOIFmjljF8AACAASURBVNyuxKchYgzJVRA6qIxi/i91VFYh7pRwYSNK/VEZUVu1uQoBIEB4L0fhFJ/CXwCq5uIBUI6QNaLKvREn2DqIGiqezK+tfkkjrDUaTw1S7lqpl412Jc2pXkui7bVPbfD4C7nRmr6o/J9Y8LdE28HyaTtCH9eQD9k17RjfXyjePoh6lf6SqHfWiiwB0PYCF+hTzHKOdBYVAijS003gO2wjG3mDO8dxAGgkb0JkaAYQFEMAAOQZT2xeMc7y80dj5x7MCyhaDZ6zdkz4WizLAiA13MGe3PITOuz+BfOezB771TFfRXcjF/h3ghrumLb0u1HskmdHzzzgrMzRjelKSW2hxjuf7qM3w7eHB1f/zw935d/5XPv/HKneOMd4cvatHju7572L7x+cvupMXo31svpFrPuPT8besEyflqxD/YGWk7/+adCpvQUkgFptUnEkzfgyp414fHHoUi6ZFKQRlV6BATTk1QiUq+BkZsHJzMP7rOnnF4x+pNn2hRdpAD6nIPrer6x8knnn7lcXX6Jh1eoPhy46Mn/WpO+HzTqDNUTDKNXgaJIB0CRpMHAyAEBaL5dB/2Z6vOqxXpQCI4BxZf3y1cRfN68cv3Lv7Fm/7B694oo0w0sLbPEuR0eE0Ru+rlQbhkGaNQRqXbW8oek45l5j4eYtmdHsmUJYRc8AatUJbR3nEKidzEXgEK525CEACGDeFYmemu8NJrHqI3Zh1eAqK0fQYrWGGKV9vtSgVTm/NgZtCGL2m0a7BWrVkl+o9qFe9SM2XZHZXVDZ4cgF1ofPvBwgPHcK3BWtdY5KcbNP3d1rnOg2ZBtLVmqpSBaxInGlVGpOC6W1xZzVBkNWTTfas5fSdmDJ79VUnYFZL2wktiXoL141RLyMkj9aSveUn2lFaWelJsqA8SkPtyPVtgvnQOv53Wd+zZZwp6roh/JD6Ty1pCGgYXkkR5lAJI5K0aKav0Ki1irMqGwSASAAj5ejcQrHRZboQMwa0eReNPIEWxNRQ/3TknlNMFZm5MCFM2y9D8Q32X5JI6w1GlcNNk9fOkuH6hkUQTizK3mcP3ShxkN7AX9dNJZsIFgSZewYW3O8uJSeC4jp9gCeSRCdaPa0KqIrb21EbpSY4qNHivAOD9+sQwAA8GZ9+rZkzv58QfJmWWkEcw9ehPQ+d6VFt0BDZPTsCDkfzf/qu0OnT5w6vi+L7xRhfajL2+f2H/bewQ5Tfln2zC2VX5JrgMBGA28xfN7GZ7BPx/xrRq3pRGO6UlJbrPPHqcNvG/xoxd/IBccATs4fc9cH2fWfD6OVLympL6Z+EUe6Ci4XOps9+t6jpgtff/WXDwAwrUHBhhgOaHvu6ROFfpZjQwxC6GK2pYNjOQ4QvGLVis8pWGLb1rpAQZatfCGDLs48nA+mNiZZrDSMTA3Ok5tVDC3u7aQvP/qnbnFjKpSeLAnzHtTIBEaun//07iPFaGoHs+S11wiCDU+697nJsx7rWOPTg1F0OSIiid4wakAMbFgLadYQqCVNoDjq9oMG6Mq2bcuLKgEpQ5r2HH1YFcnTJwBgyxQU0ETrym8dK0llKrD51efVAYA9Ycl/zRwM1axFUMAoUhG6WEZV/dVcsA+nBltGUEAr20f5lTUZTaQCtcvgOaEgC+WhC7LIQ4BzqByLkh25pGGSVVd19L0BAsObl0FpP6BJNO8KPI2Fjursn6UWLtFyNzmNbSNbyhNyJQIMIMpwH5TmEI4GRC34rWkVqUyr7eUowwYAwEe4j2B4T4/qNjfBKd1H6y6B1A8biW0J+4tPDTEvs0WK4DkieI4InpdXnVBANJRMidBFFZMpzq0I2QGzsIhgrUgGUVT94pxy0g+KHkGMN2GECQBpo1K8qIr6YRNJsNWnaQSAAGG9HIFTKlFQylRgr8gj2ishaI2ocq94gg3rL1FD/aOSeW2QNK8mGQkeEjtA3qT6JY2w1mh8NTiEdeJ0gNYM9WJlmuqXqvJpWF4pgFNXZFRZ7fk/ALBY4Fcl28Kjbh1QJ6OBP+USnqJVJBREaWnRyijTNNfJgEhp1aajzFuUl2+jIJC9ftGx4fPef+vcmxtPaftOf7lN6bdjf7SywrWkFvHB5P/4yZrxS95c/Z564bd/lECbmwy1vwgQnlD+0Rx46YXxwy9sOFkUkjW70QBgi9g0nPf0upEj2A2bp/34QVmvCd9fohsosFFQd5n+7+6Bbf/dbLfc1M4CAACU7fKlogAn6MoYI6ktxpWfU71HRtfMA4AVXjhbHOAAEE2niS/c6jh59rIXMbftN27KbbKzn/xYSIFgEaDKZm3b3ND8hh53DH5xeFfF/g/uXnLGDwCoXK9EaVuNHQQcQzGISk9I/tYGntR3yvDUS9mXSoKoufXtL03tLjuz5PsCCkDAKfSVPw8WvDLy/dcf+ffazBJ5y4cmPds+dOz9nACgCdI0lKQGFziz6YtzI2a+MXNiYPleqsOkN/riR+auzSUlCxTQUJZ239yXWp7eeySr2I8a2wwZPzTZt+/3eq8XiBzRYNN0m7Ry2iAd9AscenR+bkVDAl2WhFD0CqghzYYCSLQGfy1pAsXyvKxZjy6mUPaO3KhWANAMLyHH3ZG/+Nqhdv3lThxiTUD0fhur6OtUK+XOX+UiD7EcKucBl2VgiUWr92bLGGDxJJY8oCErdQ2vhkPl+suV+ECpWW7w5mFgIeu8RDo8NB6ygr63S2PVhFwIYqTQqPYhheSeFUnwXLFxbBnzvtlnRxoiMHy/WCx4VA4POhLuBW8uBsk1+oWwxH1OwkMEC3CWZWXtSBQQxh/RbbOQKxmULEWQm9y6WyHEMZhX6T1bmfVYjCxAkW4u/W0QJBksqPSdrniQgiQEifbAKinVnU41UeFl8bZ4Qcg9GqqXy/QAMPuTAiIbeSLrV1hE/MWjhiQvcy4i6HRqhzk1WzQhNyfr7NIlI6FfZCIV+QeRxH6FFK5thOqRsuTnde7DCsoHiLq2l8MGgLRRKVYkEDYCwSZAUw4AIcScgtzg1vdlgg6Q93RqNLj7N0UkzUWfsfm9LJpgw/pLzFD/rGReXpRMygOAN/fr7vdieQbrMbG73qbUL15kjMzMgoJGMUD0lCyVY1047as8ABXWGsJqCAqUoAZiJOWJtCwjqO7jVWCEY7GerHG7KekiBWyOzmsv1j3hRPxqRzQf6aiiYglAcfOE5b+NSCj/j7GfrRsLeTPueXRBHg305c9eGqd9+7XJCz/S0LZDW964762qL0Lz15JYxN9R5/6Jj0y9MmPcC+8sfBUFCJadOXC8WGxIhnJWPTpFv2jiC2uH6GUAtN+Rd2RPVM/5Ajkbnnox48/Vb6z/15kBn5wPNFjg1Uae0uX/DGAa/Pau6v3IzlUj7ht7JCDoylgT67ZQpTH55gemjplolgH4rvy588P75311mhQpAkXbaV+uHK21nz3x18pXnvxoa5a9fIUNIfQKhKVqfjyDIRlU2YBdAKgyIaPXiInjWiTgwHkK/tixYOB7686QAIJO8Z9c8uB/kAUTJn8/XA1AlWT/PnPM3A0lLGASNZSmBpAXFoyZpHxz6rSlq98G39mflzwwY2P5iJQoUEBDjAuZe/9n3nPpagTAl3do26SnFm6r/z3OyBELtuDl/b9ZBw5y7D1grZEy+Lt8lQirhjQbCiHNGgK1pAkUyfPy5jcnQ/H2i9GeAggipdFsHefQwMakMr/dcF+ZWg5Mvtqx2OgRPS/HocHNyaU2p6GP03Q7B4AwBSrHkcrJBp8aHBrYkGR1OQx9bIn3AgDCFBMht1hbtMy9zIwOd+pH+1AMgEVYmyIoWqsmlMyzKlH2SqnpWQ/5oY6ipArkNS9C7zGX6e2GAbbEgQBcjX4hHIIyynvLdGoAAM4p93+X6MhrSFvloKGtCT6zQ/ekFSg8uEPhq37BMhLaluBJsmtHWrU0Ftyu8J3GgEPpHAXdxW1+0Q2AMHlq+yKDt8rLEsIGAAC4Eo3rtNt8o8z9u9h0N9J+hUMsAMKrIS1sSLnzUxM84jK85EUBOLc88EOiXfQT09IGkZCGCL0/sdjr0t/lMzzlRgDAjwd/k9fwcrgAkDYqBYqEwwYgfLAJ08QDQFB1EadwDHGvTasGroxwLzO5Cho+zMMh4GXxBBvOX8KG+qclcxqlbYjqwdJkANYuD/5uLvtVRYvOYJpOv/hB0lyWyd6K8dnXmtwXqO9Ti3/FORCwhpAaQgKlqMHJ77Em9WSZEnnoD1PxLjVZ8wvmUi9SQMk92wnt40H6Nw0p6QgrcouqtZR6ceLEiRMnTqOhDiTOtuI7U4p/ll2llctrSY2Y05j9amptyUOm2SWKvSlFPzVMn8ZsK05NBCx/vQZbo4FRumlF+lJL4TIiupX6pp8qm76G0rhe+yWNpm+NBmiItHCkTAh55iZ5yqJYPvjisbTyf8TiO+hx4sSJEyfO1QS9wUvIZK4od8pdr2rEnMbsV9Noi8O7O7VaWagERdu7VSrMd6ah+jRmW3FqIhBR12uwNX2afqps+hpK43rtlzSavjWkaEhQ8iQO0YS0w73wh8Vnk7iHIr4EECdOnDhxmjYIS/QMIiX6QDRL3detGjGnMfvVRNpCOFTHEP28Wi0Hfpl/q9kZ1Weo/9624tREyPLXabA1fZp+qmz6GkrjuuyXjDROL9bqw5SEVqeXHOU/Hxtba0hWQwBJGqLN3InjfBiLhf5IKN0q9kJHgcbjBwHixIkTJ06cOHHixIkTJ07TAuGwJAoL9+EotkxOS31z0rWqRoOJHwSIEydOnDhx4sSJEydOnDhNFQ5hiuVX/aN914oasSNWn0FvVFBj1xHvTh/ZkQAAQA1dx09/dXw7RaykY5YBi1YvnddNGSuBceLEiRPnKoGwin4OYz+qae16VIW0QxzaVA7gKmiIMqrhpZahoabV5b8LhFX0dRj7NrEAiNPEiYfNNU3NBNuYbV2vyfx67VccQa7JJQDM3P3RiSN7pOAAAHhC1zFPD+lridl+BkyT0a9npwzVNWmaOHHixLneQVvb0hddMZTfk6GM4naPpg3T+LcatdSoDaIJae7wEvqroyHC4m2CChN3lbos0K+r25bRm7zocvNFl5svupw+Kli/d1gnW9qCAktvulYRyih6ezRtxc0bvl8Iq3z8SvO5pVpLLPvbmG1dP4gFQCQIRG/dvCEYNuGDrYFq/FMDIOYppVaCBYCr5K/6bV2vyfxa65c0GvPSJo1G1rDmPBdV3/LMx0XnNk/NqDWdxkzdX/1sS9H5TF/2zt/feqi9srZHeWrxFmHGXqNm/fz7Pu/5TN+pHbvnPdZFG59sxw5B84q4MraKNKQtVHf7y+vd5zN33qevqqa8eVrO+Uxf1d/B6bcpRYtQXacRS7f86j6f6cva8dvbQzuoKuRhycP2ns888q8WMgAAdd/3dvuOze2nakCHiebDX1l08I9DvvOZvhM//fL2sE7qSt2FnIJo2jywcO22svOZvvP7jn85ZWgzeYM0lKhG+Q90N9//wrKvNuedPFKwuIem4QLDg6hbD17w1ffF5zN954+W7Fm3buwthoblAGnBdrWGQ7jo5Vci9vkw5tZoIgKrYeW3BVCbylf6995dNBE1Yk5j9qt2W25V2byUog8SPY6wP+aQBApDWVlSdN8mC99WFQiLp9BAUDK1JKl/f1vRoKDUj5Skvne5+aLL6f8tNXSWOF+6WogEQCQIRG9UgX0NBVvTpxFSytXx1zVP7X5p/eYZ+RVLbDOLzQP9eLhj7dcuaLrH8u7llAF8aS1qL4sJjKYWQWqfKE5bcLn5ovy0yXZNSthJfm0NUUY9prBZ1aroa6XG7hQa0witmJvLLF3uf3nKuPE9zQB5tX/Q/MXPPpnR8uA7Ly86pes3Y/rsn/CSLq8ddHKCtfiL5BlD54/rcH71eyNPOdQdhrw15dUt5LmOMzJ9sezVPxch8wq5MtY0pC1E1fXFJVtGWeocuMGUOhV3dvqTM3e6OADgKGduUKQIs9z75Zpptx//4pmR+8pS75zx5swdKlvnl/fYWJCZWiYCpD/Qp9nyS7nydiP76ECZ2lyDgl/aBQSAZnDC+v2Hr84spBJvGTp74oxNvjO3vJMdEHQKouuxcO2cwWe+eH7ErnxN57Gzp61Z5v+/Bz7PJqVqKEkNAEBU7Scs+XhGxunV61ZN+ORifuEFf8ME8qK8+a1Vb45xb3193BuH7XjaTbd2DToDUq0OIDXYrtJw4IlePmKfD2NujSYisAYEqe7I0nvVNB1pjatCE1Ej5jRmv+q0xaB0EQoYMFTYXyP0XsuVCwxXJOnzznz9YnHPx6khI0IVx+7eqjHbihyEJR4pMXWSu9YkBRysop/DONrKzUt2FTWZaY9IAESAQPRGF9jXTrA1fRojpVwdf13r1OkXzuImjtxqcVzm8Ay/bmBZSltj8adaSvJwazIg2pD6Lpe+XxAD4O1NNF6OSGDktVBGParEeIPCtTop4KNVg+wJE1jmbXOgzp1eXQ051Mwgl4ylmxSsjJF3dhsfL8bpVOtRLGKNRChfAiDaTJ47rteJr0ZO67p0XvOa5cqbRk65xb9xzOvv7HFzcCBLefPxl5+/f8Ffa0tZgVoCRWTOyjt7r6QoFgBgz/FQj75rbu2cgmfmiPgE1d708PtvvjDyZhMWKMoqMwPk1yhVDFywzWnQyVhX1s6Vk/+7+oCrfEqBt3hk/o/T+2WoUQDfhQNbZr2+5JtCEgAwy53vfTD+wU4tU9QosK6snatenrFqr6PeRARPenjemtX9z04cNnV5HikgEAC19Bo1c/Rdd3Ru1cyoxAHo4p9HPvDqtqsyw+ZFwLxCrow1DWgLTbp7xsYxgdmj3x/yv3dqbVJRGYlAwfGsc6fqTY94ilBLn5EDVaenvPb5lkIWIOtZVfczb4we9O6+NaWszNRcfWnXYfO99ySvX20Z1Me77yDSoq0Jh1JSYp/pwvVz3q7494FzqrvuWHRLhhbJDnCCTmnV/y5j0fK5y7/JJgFO/3vegOGLe3XSfpFt4yRqKEkNQDS9X134CvJpr4GbzodiIZAfWXLXfpbAD6/MX7LfBwBw+ODmKKwcBmnBdnWGA2/08iE1H/Ii2i885b6Vm94c5Fj74MiF+z2caK2Ym7fBlkebe5VK3JNZ6yO6yE1lqR+wKAZskcq9McGdW2l9Ga0aaDf0DuIKhLmkcn9j9FxEAQBJcyWOcRMJHGcj/Hkc0SWEupWuFSZ3PgoAgDFEf4ehn1+uAc6p8P2U4PhLxnFiahCkZphdfyuJoQhdhGEANb3IpyGS4DWPcypNLACwZYTv+wRn+feBUUY5zGboRMr0LACwRSr35gR3Tv2o4rAu9uSnA+SG5LIDOCcgEAC0Qd19HlXbkMzIIigAi/mXp5Rl1ZJZt18y0vB6sTo76cpGBQeAWNzJr7voz9Osp1EAAFVI+7BD15nEcAAGpXN11i90FTeUEtoSwOhNnmUv3yHFHrUUribqVEFaOZPmUDIdx5URnm9Mriyszg/CtKX3Jr9RIRMAmD3JV7bIOQC0c2naaMr7Qaojv3yexiqfLUxM1xa/a6AsgmETfVvA7y8BNUhK0Mt8yChVe5beb3Afl3MA5BZO2bWMSGVdRWI3lDyDCEDIy0IaIhzewW2426dsQSMAnE/m32SxZYqpIW1UChaFDxuBYItsVDbRABCGzykooxxWZuxC4moOAKFz1e5vDN78KDar1bGG9NzLl2AFk0MkhvqnJPNyExXLQzloKEcZyEGTJzmNnVWlh7Frq1/15cv62/Wt5J4VJsUTNr5T4fWtwa9GRAKjUEMb1NzEkZsSXMdwAAVZxhGz7LoOTOCvWkkvrL84P07my1kA8pIMbXfF0DOEZqpYnS9ptg3bnlK0Q8YBAEprpl5JoE2FH6qZaLJAuVmD2f8deE+f/6z+rbjO7AJL7tothT61+Uzy69/9cfmze9gDuy9i7e65gRCsJVgEbMX9LgBgxoxEzHcxzyb2yAyz3L183euPyXZNGz/x8TnfZFF1rxW52xY//dy4x2Ztp/pP2jS7p6FihZWxZX47e+pLAx4eNXDCl2fbP/XVR8NaYgAAmOaGO3u0sq+f+fDo8U++uZMdMHHjW31NdYJMnj5i/qqV/c7+e8R/VuSRwgIBZGl3jBjdG9ux+I2Rzzw/8OkJT7/9v6OeBmVkSfCZV9CVMUZ6W7L0IcvfuWXH1Glf5ITqXNp1yQY8GNBYTJq6zucrQlVGFbDeEm+5QdiyrBNFaPPuaXIAVG1OkLsOL/vL/GifZp0Gd3dv3XGaVKfpYvFGCVzXrv/jz7UN7f/+hKOiD7wxT5blFHApg+5po0EAUF3n3i2RS4eyvVwMNIxGDTTxjv8OT+YsI37887Dv9J7jK6c+3FzeEIEC0PbzWV5ln8fuuIGIyXMQacF2VYYDf/QKIMWG/Ij3i2jee4AFJdr1uT0Rj6BWzM3bYMuz8p5BtEztt9YOnzKVc1Vi6fIEHxMwPG9Xlp+YQVjl8BJzfya0zVy6NMFHBowTS3VJHAAgOlJhlDk/TbJfJtWdwbMs0WULGob7cRQAYRVDSyx306FtiSWLEx0nOfXIUmNrVkQNlFE9WZrQDQLfmq0rjL4ipG54h9UQgPMpvD+YSj9MLl5idheT2mfKNKYK5WVtgzK/xvaFxfql0c/6Dc/blXX3D3P4rfbkUQFqS1LZHxX3DbwCARBDQNszANl623JL6RKLdZXRU/dWnse84eEUD1mNHVDvWkvJgqSS5QnuwwqmMnhj3JZLVfZuStF7iR47zw8QNPiLybrU5C6ldM+X6tPrjMBwbXlUZe+mFM1NKXrf7PPW+GmemmQZZYfKbZwKUtWaY06pKEowbCS1Bfz+ElBDoJYQNEY5Ae8QkCkAANC0oAzwULHYXI5/EIGgl/k15PDuZcnPuRQ+lXNNYulnibat2oDolFLaqBQtChs2AsEW0ahsqgEgBL9TEFbWNoQ7tWWfWUq/NARlvoTJVm1i5Pe2da0hMfcKJFjB5BCBof6hyZy9rPWWcIruoeq95ddGv+qDkFtTCj8wuc/WXfkVtga/GpEIjEINRMagAKy7siNeecgFeMs65wvELogcsHTlrN2j8BcC3jGElf8nQSmTgTqpYKOcc1beBHJc2Ip4QroeXCetrD4jjTDhyQpXgQ3UaSY5An6Ot5aAwBog6m4vvDW9+YnZ4/5wiPwWb3H/mPtVJye++M7yKyzAwWzzoEcn1PxB6NwvP3231wdwpKhN/z0PDexE7N8bAADOe2HPpgsAAHAi+7Llnvte691e9fVFT0Wtiwd2bd/ng32HL7Xsu/fhgR2JXbsrdj8Dqusween7c5rvHjP0zQ35VQsZwgIBXFkbNu34syl8HbKueUVcGVOktoWnPzN/SsbWSY/vcTLaumVaXaAEv3vdz4MRCJz9ddUrM5b9YmUEi+iiQ4eK0OFTn+p68PNMK6pr2cqkAFyJIwCYIUWHUbYD/zv62ssjx+l8GydcSnxYnaFv4BIA3mr0mpOvtwMAx69znvhfft39Q/Vini7c+uKbPX+cuSbr9p07HO0f7pw15Yllp0LQMA2jVkPdbsCtuGPnD0s/3Zfn1XZ67o3pq1dxeYMWHg1KFCgA5zow6fmPV3z41ol9T2xeu+7jNT//aZW68wJAarBdheEgFL0REI0NBZQQ7Zf36Eej51t7uHd+cZGKoBYTa/NKE1gNQWpuZOndqjp7+bhSlf8EwQKEXJRqqk+VygVyEDD69N0Z8psk+26cAwjmYtj0Ut0A0rNOAQBAY9QlRUgpg5swMldJGWWGQSSGA632G3uxgZXJjhMoAIQuytA2V/S3k87zBMuvBpLg13dkQxvM9gM4AASLWVVXl7iGABCSBTLLT2TKSTuj6uhUJrEeW+U8ykYEsgkWiKCdVr7sU6dygfOV9wcIK+9vNQ+mA2uS7UdqPDcQFAiAkUc0/os8Nxk85g0PwmEGFnzy4Dki5AMACNX9RezaYlG6BAUMGJ4fcxd0rj0ECxDIwbHpJZr+IfdqIX9VywQAGcfWXHbzEt48MHUJ4DtlFANoC59ShXkPyTgABPjDhpTUFvD7i18NoVrlyFm0/FLBARdEK+7GWNy7zkiMcyTPCPqzUXmXELkpyXWlhnfC1uIfRJUhx+NlPg0VIf1DAeS0qWiZmol8z5VByqgEsaLwYSMabAKjkq+tRg4AAcJ6WcwpnIMIniFYIII5ODrdqr+L9K5XRHShCmuN6HMvJ5Bghf0laqh/bDJnUMqOIAk0hgJ7DfUrLKKxGNYaAmpIuwvjqcW5iaALNAM8iou6kAdQE4XhgNR5EYOwv+SMoptLnw6hjXKWA+CwwGG58SGfQquhXYAkBRQ45jsX1YIFQPUSgAi+w2Pvum8WVVKsfjDKBnhAdb3GL9k6Vv3lC2M+zhWdAChadkuHwnV/loleL6iis1bQJRtkAAEAwFP6PDNv8rAB7ZN0rMca1APuJcKkSKrojBU0Zn21QxSD3v98ELX/+XtmbSiu2WiEAv9uBMwbc1cKEF1baMrAV97I2PX0S8fcYcKYPP35mDafA2Da1j2Hvf3+5O9W0N2GLT9DCRX5T3761MIWa6csz50EAAAMAORfdjMAmM6ixuiQ/fi3B5p98bh10Zz84JMMqtUTKLgbsBGczt/y7x7HUtt0Gfjy1Jm7P6J6jPshv+pqH9YpqCo9I01R8OuSH84Yb2+DJPQYNbTT5g8O2dmGaBitGqg2xaKEvI3rd+xxAsC5abO6DVk16PG2nxw9EZLYLyFY++FlQ/pu7HDngy+MmfLb2PHfzRz73Ppcv3hFQaQFdsyGg3D0itaO1oZiCPSLKt6+dOH2aGvF3LwSLY9meAlCaOs455IxwGJKDgBBzSEZ4J6cyutiQB64AupmIQxTVI+hKkFM+QwPkMQgjrLyZwtqHWELMQhS/eP6aiCmEA6456L4Ib2aGgIAog9qw96g5QAAIABJREFUhzg17ShcCawHQYELhXtFE+euVQsAkA42SwcIrk21HanVaIQCwyJq3to6oYHvjIEXHUlv+UJH1b79Wl8eJrr2L7GtyAnJAkWgSSVRjKiaa0XXFosF9xPcKJ/SpKWsnKJXAC3V+q7Uvh+tFzZVRNsvXn8JqiHoZZYYVWjpWN6+zPlOsrvy9VeokcYx3L9bRaqCMoQlevgUxwxBn1AtgUFEC25X4tMQMYbkKggdVEYx/5c6KqsQd0q4sBGl/qiMqK3aXIUAECC8l6Nwik/hLwBVc/EAKEfIGlHl3ogTbB1EDRVP5tdWv6QR1hqNpwYpd63Uy0a7kuZUryXR9tqnNnj8hdxoTV9U/k8s+Fui7WD5tB2hj2vIh+yadozvLxRvH0S9Sn9J1DtrRZYAaHuBC/QpZjlHOosKARTp6SbwHbaRDbpoo4Y7pi39bhS75NnRMw84I8m2HMcBoJG8CZGhGUBQDAEAkGc8sXnFOMvPH42dezAvoGg1eM7aMeFrsSwLgNRwB3tyy0/osPsXzHsye+xXx3wV3Y1c4N9JePNeHVeGR1JbqPHOp/vozfDt4cHV//PDXfl3Ptf+P0eqN84xnpx9q8fO7nnv4vsHp686k1djvax+Eev+45OxNyzTpyXrUH+g5eSvfxp0am8BCaBWm1QcSTO+zGkjHl8cupRLJgVpRKVXYAANOQtOuQpOZhaczDy8z5p+fsHoR5ptX3iRBuBzCqLv/crKJ5l37n518SUaVq3+cOiiI/NnTfp+2KwzWEM0jFINjiYZAE2SBgMnAwCk9XIZ9G+mx6se60UpMAIYV9YvX038dfPK8Sv3zp71y+7RK65IM7y0wI71cIgwesPXlWrDMMTcGk1EYAUIq+gZQK06oa3jHAK1k7kIHMLVjjwEAAHMuyLRU/O9wSRWfcQurBpcZeUIWqzWEKO0z5catCrn18agDUHMftNot0CtWvIL1T7Uq37EpisyuwsqOxy5wPrwmZcDhOdOgbuitc5RKW72qbt7jRPdhmxjyUotFckiViSulErNaaG0tpiz2mDIqulGe/ZS2g4s+b2aqjMw64WNxLYE/cWrhoiXUfJHS+me8jOtKO2s1EQZMD7l4Xak2nbhHGg9v/vMr9kS7lQV/VB+KJ2nljQENCyP5CgzrcRRKVpU81dI1FqFGZVNIgAE4PFyNE7huMgSHYhZI5rci0aeYGsiaqh/WjKvCcbKjBy4cIat94H4JtsvaYS1RuOqwebpS2fpUD2DIghndiWP84cu1HhoL+Cvi8aSDQRLoowdY2uOF5fScwEx3R7AMwmiE82eVkV05a2NyI0SU3z0SBHe4eGbdQgAAN6sT9+WzNmfLwSFqwmCtxg+b+Mz2Kdj/jUj0vvdYO7Bi5De56606BZoiIyeHSHno/lffXfo9IlTx/dl8Z0irA91efvc/sPeO9hhyi/Lnrml8ktyDRDYaPCZ92q4kg9JbbHOH6cOv23woxV/IxccAzg5f8xdH2TXfz6MVr6kpL6Y+kUc6Sq4XOhs9uh7j5oufP3VXz4AwLQGBRtiOKDtuadPFPpZjg0xCKGL2ZYOjuU4QPCKVSs+p2CJbVvrAgVZtvKFDLo483A+mNqYZLHSMDI1OE9uVjG0uLeTvvzon7rFjalQerIkzHtQIxMYuX7+07uPFKOpHcyS114jCDY86d7nJs96rGONTw/GejhEEr1h1IAY2LAWMbfG3yGQH2VI056jD6siefoEAGyZggKaaF35rWMlqUwFNr/6vDoAsCcs+a+Zg6GatQgKGEUqQhfLqKq/mgv24dRgywgKaGX7KL+yJqOJVKB2GTwnFGShPHRBFnkIcA6VY1GyI5c0TLLqqo6+N0BgePMyKO0HNInmXYGnsdBRnf2z1MIlWu4mp7FtZEt5Qq5EgAFEGe6D0hzC0YCoBb81rSKVabW9HGXYAAD4CPcRDO/pUd3mJjil+2jdJZD6YSOxLWF/8akh5mW2SBE8RwTPEcHz8qoTCoiGkikRuqhiMsW5FSE7YBYWEawVySCKql+cU076QdEjiPFey8IEgLRRKV5URf2wiSTY6tM0AkCAsF6OwCmVKChlKrBX5BHtlRC0RlS5VzzBhvWXqKH+Ucm8NkiaV5OMBA+JHSBvUv2SRlhrNL4aHMI6cTpAa4Z6sTJN9UtV+TQsrxTAqSsyqqz2/B8AWCzwq5Jt4VG3DqiT0cCfcglP0SoSCqK0tGhllGma62RApLRq01HmLcrLt1EQyF6/6Njwee+/de7Njae0fae/3Kb027E/Wtn/b++8w6Mq1gb+nnO2981uNptKQhcEBBTpiCgdRQQFO6KfClJVUC8gWLhWQOVaQQFB7wVBpSmiiPQeWhJKIJBCymazvZ36/ZEENmH37OZkEwPM7/HxSZjMzNtm5sycmTP8ufiSlJ1nv9zNt+Vf6ypM7dqYAACAsuZfKvbxBCFTsPmzVS8ueWvlB8pFP+8rhVbtdDVvBAhNoOBoLrzw3Itjzq85WRwQp96iA7BGbRrOnfP9uLHsmnWzNn9U3nPyxkt0PQtsFMKbl9eVMUZQXYyjIPfqHhlNqguAKDp/psTHAWCqDlOeu9128ky+GzO27jdp+p3iM59tLqKANwlweWrrVi3SWnS/a/jzY7pI93x075LTXgDAJVo5TluDdhBwDMVgCq1M8F0booS+08ckXcq+VOrHjS17vTCjm/j0ko2FFACPU+jLB/YXzhz34eujX16dWSpJv3/q020Dxz7M9QEeJ0xCQWJwvtM/fnV27Nz5c6f4lu2i2k+d31d05N3VF0jBBfJIKE4e+u4L6Tm7jmSVeHF9q5EvPmD27P7rms8LRE/EYFN1nbp81hAN9PMdeuj9C1SUueoIX/TyiCHMhjzE3BqNX2B48Ay3TCJyRv/ha5vScdAZP9ISh2m9Vlba166US+x/SiK8xLIp7HsdpsGlJrXWnS1mgBUlsOReFVm9ShFaDJvCcdARP6LMKNG58wgwkbU+Ih0aWhSwgLa3Q2VRBRwYpqfwOu1DCkhc3yTAMyX6ieXMh0ZPBVafAkPrxRL+oxK4zxY3CNwXCDAH6YWxsqF2mUvmLxSxLCtuQ+KAMd6oHpv5XMngZBmGtXNqbocAxxBuuftMda/HEmQhjnV1aO8EP8kQfrknp+pFChbnl7UFVk4p+tuVsiovR64rLBi5U0X1dBhGALMnwRdhI090eoUkgr/CiCHIy5xD5rfb1aPsqvWqgJMTd3JozFjgD3GEjOEbkUC9AlLHFplidLn5WY3zsJTyAKas6eWQASCsVUZK4gkbnmDjoSkHAB+RnIK1cGr7Mn4bSHrYVSqRc7u0YXrs8F6O2MGG9FckQ91cnXllkpmU+ECU5tUMcxN5OsuxSE+9TUmvsIgZsZEFKY0TgGkpcRLHOkS0p/oAVEhr8IvBW6AAMTA9KYmnxRl+ZR+3lJDZPtWSQS/tBQ1SwOZq3BUlmkftmFdpq8slHVeoWgKQdpy8bPvYuMpfJn7x/UTImzPwoYV5NND5X7wwSf3Oa9MWfaKirYfWzx/69pULnMPnCp8kSex8hw4Mw9/ZcXXDrH3F2KETj/B9Q4+175kyesblOZOeW7DoVRzAX3567/GSSE0ykLvioenaxVOeWz1SKwagvba8IztDvdoMiy93zePPZxxYOf+H/zs94LNzvnoX2NDwmZfPlbEm1nXhcr2544gZE6YYxQCeywe2fTzsve9yyAhJIG0969vl49UVZ04cXD7zsU82ZFVUrrBhMq0UY6ngyzMYksHl9dgFgMvjMnqOnTKpWZwIOFfhvq0LB3/w/WkSgNcp3pNL7nsFWzh52sYxSgCqNPuvuRPeXVPKAiFQQmFiAHl+4YSp8rdmzPp65TvgOfP7khFz1laesRBYII+EBBcw9n7lvWdSlBiAJ+/QlqmPL9py7X2c0RMp2Pz5e7ZbBg+x7dproaPPFXNCiiHMhnzE3BqNXmA4MFbaw4+V1WXrOIf71iaUeyt0Q8uVEmAKlLZP9a6I5+U43L/OXGa16/rYDb04AIwpVNiOVE82wonB4b41CRaHTdfHGj8IADCmRBZwRqqLFjuXGvExdu14D04AsBhrlfoj5gqGErtWxItnlhmedpEfayhKaIFhzYvRO43l2grdAGv8YAAuSC+Mw3BGPqhcowQA4OwS7y/xtrz61FUJHtgQ5zHaNI9ZgBL5t0o9Vz+wjAW2xLkSKtTjLGqa8P8m9eQQwOF0rpTu7DQ+7wTAmDxlxWKd+4qXBYQNAABwpSpHjtN4i9j5V6TpbrR6hSJSAIQWQ1jYkBL75wYY7dC94MYBOKfEtym+IuIV08IaEZ+EGL0nvsTt0N7j0T3uxADAK/JvlwR5OVQACGuVPEn8YQMQOtj4aeIBwCt6BKdwjGyQVa0ErlzmXGpwFNa/mYeCx8uRO9hQ/uI31M3WmdM4bcUU95WZAdgKif8vY/mfCjriDKbp6BUeLNlhmuauap99Lea+QG1MKvlTxAGPNfjE4CtQiBicZKAloQfLlEoC+wwlO5Rk8A3mQgcpoCSu32TqR/z0dhV57Za0KMBuU7QUkg+BQCAQiEZD6YufZxFtSyz5XdyQSzXXiRgxpzH1amp1SQKGeaXSXYnFv9ZPnsasCxEMj+Vv1GBrNAhKM6tYW2YqWiqr20p90+8qm76EwrhR9RJG07dGPSTEmtkSJwdc7ya4yuuwfPDVw8mVP8TiHnQEAoFAIBoSvIVbJhY76rhT7kYVI+Y0pl5Noy5O1M2uVosDpTje1qlQEJ7T9ZWnMetCBMMTUTdqsDV9mn5X2fQlFMaNqpcwmr41hEgooyQJHKYKqMe4YZ/JYxW4hwItASAQCASiaYOxsh5+rFTrq8tS9w0rRsxpTL2aSF0Yh2sYWT+3Ws2BV+zdYLTX6Rrqf7YuRDB8lr9Bg63p0/S7yqYvoTBuSL3EpH52iVobIiWwMqX0aPjzsbG1hmAxeBAkIZ7qjJ/kIVgisC+ubEOkDzryVI4OAiAQCAQCgUAgEAgEommBcUQCRYS6OIotl9BCv5x0vYpRb9BBAAQCgUAgEAgEAoFANFU4jCmRNPilfdeLGLEjVtegNyq4vsvYf88ed6sMAADXdXlx9qsvtpHGqnTCNGDxyq/f6yqPVYEIBAKBaCAwVtrPpu9HNa1dj4qAeqRNncQBNICEOKMYU2Z6INC0VP6nwFhpX5u+bxMLAEQTB4XNdU1wB9uYdd2onfmNqheCl+tyCYAwdntoyrjuiSIAAFFclwlPjuxritl+BkKV0a9HhwzFdWkaBAKBuNHBW1pTFl/WVT6T4Yy0l0vVimn8R40aYtQEUwVUd7ll2oaREGNFrfxSA9dAKvPo1bB16d3mxflpi/PTFuenPOG/VjuigzV5YaGpN10jCWekvV2q1pHNG1ovjJU/cjnt3TK1KZb6NmZdNw6RAiAaeKK3dr/BGzahg62eYtysARDzLqVGBwsADeSva+u6UTvz600vYTTm0CaMRpYweJ6LK2976j/FZ9fNyKgxnSYM3V79Yn3xuUxP9ra/3r6/rbymR8PkCpskSxszc/H+fYc85zI9J379451RHZRNKkSucwh9zyfe+P2v3e5zmZ5TW/9+7+HO6qs+juDK2ApSn7pwTa+XfnCey9w2VHslm7zjrNxzmZ4r/+2ffac8YhKu6TD26/V/Os9lerK2bn/ngfaKqvII86hd5zKP/F8zMQCAsu8Hf3uOvdtPUQ+FeQKbzymYqtWIRau3lJ/L9Jzbffzb6Q+kSuoloUAxKv9A03HYc0u/W5d38kjhp91V9S8wNJiy5fCF320sOZfpOXe0dOf330+8TVe/BTdhwdZQzSFU9IYXQpgNeYuMtTWaSIFXYSV3+nCrwlP2zw4dTUSMmNOYetWsy6kofy+x+KN4ly3kH3NYHEXgrDihbneTha7rChgrSqRBRomVgkr95+uqC1JKObo06YP8tMX5Kf8q03USOF9qKCIEQDTwRG+dAvs6CramTyN0KQ3jr+uemnqpvcY5BVVLbHNLjIO9olDH2q9f8BSX6d/5iQPCdWt19nKkAuuSS0aqHy1JXpiftrggeVqFKjHkJL+mhDijnFCUemVV9LUyfTcKj2mEVs3NxabOw16aPunFHkaAvJp/kPb8F5/NSd+/4KXFpzT95sye96uotPNr++0cby6eJJoRySwbP351bhEVf9sD86bM+dFz+rYF2dfPdxSaNJKMB96f1P7cyg/GnbIp2498e/qr68mzt87J9AC/K2NNferCFF2eX7L+CVOtAzeEXKPgzsx+bO42BwcAHGW/4I+QRJgGfbtqVq/jXz01bnd5Uv85b83dqrB2emmnlQWxIT0eIGVEn9Rlly5I2ozrowF5UpoKB6+wAYQvsHmcgmm6L1r95vDTXz07dkeBqtPEebNWLfXeMeLLbFKohILEAABM0Xbykv/MychZ+f2KyZ9dLCg6761fgWGRd3x7xVsTnBtenzT/cIUoud3tXfx2n1CrAwgNtgZqDmGiNxwCbchDzK3RRAoMQkYqb2XpXUqajjZHg9BExIg5jalXrboYnC7GgQCGCvnXGL3LdPk8wxULut45nF6syPWfpIAeo0pi92zVmHVFD8bKRpcaOkgcqxJ8Nlbaz6Yfb+HeMzuKm8y0J0IARAFP9NYtsK+fYGv6NEaX0jD+ut6ppZeIFRk4coPJls+JMryaweWJrfUln6spwc2tyYCpA8p7HNp+fgIgrDZ18XJUBUafC2eUT5TqW0gdKxN8HloxpCJuMsu8Y/TVetKrLSGHGxnskr7sRykrZiSdnPpHSkR0kuUoEbVEEahcApC1mvbupJ4nvhs3q8vX76UFp8vbjZt+m3fthNcX7HRysDdL3vH4S88OW3hwdRnLk4sviS764c13qn7ee1Zxz12Lb8tQY9m+CM0WV7d78MO3nhvX0UD4irPKjQAFQanSwQu32HUaMevI2rZ82r9W7nVUTilEzUa/v3l2vwwlDuA5v3f9G68v+amIBADC1P+Dj168r0N6ohIH1pG1bcVLc1bssl0zERElPPjeqpV3n5kyasayPJKnQADc1POJuePvuatT81S9XARAl/w+bsSrWxpkhh0WMnd5/97LKYoFANh5PNC976rbOyWKMnNpXlfGmnrUhSfcO2ftBN+88R+O/N+CGptUFHqZr/B41tlT10yPwiThpj7jBitypr/25foiFiDraUW30/PHD/n37lVlrNiQpry047Bx0EDzDytNQ/q4d+/HmrU2iKCMFKhz+MDmc0rzu+/RFy97d9lP2SRAzsvvDRjzac8O6q+yrZxACQWJAZiq96uLZmKf9xz847lALAoMj9jcpZ/Jt2nm+0v2eAAADu9fVwcrh0BYsDVMcwgbveEQZkMeIuolShy6/Me3hthW3zdu0R4XFzFXzM1bb8vjaW65XOTKrHGJLtauPOkjFieALVY418Y5L1RbX0wrBlfoevtFUoy5pHD+pHddxAEAS3bET3DK4jjOKvPmcbLOAdwpd3xjcBbgAAAEI7vbpuvnlaiAs0s9v8bZDoo5LpIYMlI1qkJ7O0ngGF1MEADBXgwnIRbnNk6yyw0sALDlMs/GOHvl/cA4Ix9l1XUgxVoWANhihXNdnDP32qjiiM4V5id95Bpz+V4Rx1MgAKj9mqEuReuAWM9iOABLeJcllmfVKLO2XmJS93qJMjvh8lopB4CZnObXHfSXyZYcHABAEVA/aNN0IgkRAIPTFzSWrzRVD5QC6uJB7za/UVG5Q4o9aipaKauVBWtuT3iTEms4rlzm+sngyCJq/UGIurRu8/yqMgGA2Wm+vF7CAeCdypLHU+6PkmwFlfM0Vv50UXyKuuTfOsrEGzZ1rwvC+4tHDJLi9XI4xJSiLUvv0TmPSzgAcj0n71IuS2IdxZEeKMM0IgA+L/NJiHGi9k7dvR55MxoD4Dxi748ma2YkMYS1St6k0GHDE2zRtcomGgD8hHMKzshHles7kyIlB4DRF5TOn3TugjpsVqtlDeF9b7gOlrdziMZQN0tnXmmiEkkgFw/kyn25uHmqXd9JUXaYuL70urZ88d0V2uYS1zcG6aPWcKfCr7VGeDGiKrAOYqj9qnYc+WOc45gIQEqWc7I3KjTtGd/BGp1eSH9xXhFZIGEByEtivM1lXY8AnqlgNZ6EeVbit8TirWIOAHBaNeNyHG0o+ljJ1KUXqDSrP/tfgwf2eWXl9pJaswvC3KVrIn1q3Wnz67/sy/9iILv374tEm4EtZLy5eJOuINK0ufuRZ1oH9mw8YYskMmG6d9n3rz8s3jHrxSmPvPlTFlV7rLiw5dMnn5n08Bu/UXdP/XFeD13VCitjzfx53owXBjz4xODJ355p+/h3n4xKJwAACFWL/t2bV/ww98HxLz721jZ2wJS1b/c11AoyScrY91cs73fm5bGvfJNH8hcIIE6+a+z43sTWT+ePe+rZwU9OfvKd/x111atHFgRbNZ0AAEKfEU94LuZZGYjgyhgjvC5xyshlC27bOmPWV7mBWkO7xqwT+X0qk0FV2/nhknCFXgGsu9RdaRC2POtEMZ7WLVkCgCuNcRLH4aUHjQ/1Se0wvJtzw9YcUpmsicUXJUIEdjinAFmeW8glDhnYSoUB4JpOvdOxS4ey3VwMJKyLGHj8Xf8aY+ZMYzcfOOzJ2Xl8+YwH0yT1KZAHuuJcllve5+G7Wshi8h5EWLA1SHMIH708CLFheCLrJUvrPcCEy9r06RUviiJXzM1bb8uzkh5+vFzptdQMn3KFfUV82bI4D+PTPVshrzwxg7HyMaXGu5nAFmPZ13Ee0qefUqZJ4AAA05BSvdj+eUJFPqnsBK6l8Q6rXzfGK8IBMFb6QKnpXjqwJb7003jbSU45rkzfko0gBs4oHiuL6wq+n42Wb/SeYqx2eIeUEIDzSN2bDGUfm0uWGJ0lpPqpcpWhSnhxa7/Yq7J+ZbJ8q/eyXt2zFfLa+4c50e0V5id81PqE8n1Vzw1hCwTAdD51Dx9ka63LTGVLTJYVelftR/kw5g0NJ73fom+Pu1ebShcmlC6Lcx6WMtXBG+O6HIryfycWfxDvqgjzBxju/8Ng+drgLKM0z5ZpU2q1wFB1uRTl/04sfjex+EOjxx30p3lKkmXk7au3cUpJRUuOOaWgKN6wEVQXhPcXjxg8ufigCcoOovY+sRQAAE/2i0EUKIk0lwvfiIDXy+El5ETdys3POKQehX1VfNkX8dYNal/EKaWwVhkxKWTY8ARbVK2yqQYAH+GdgrHi1gGRXV3+hansW51f7ImbZlHHR/9sW9saAvteng6Wt3OIwlA3aWfO5qvdpZy0W+Dq3vLrQ69rwcgNiUUfGZxnaq/88lsjvBjRFFgHMTAxgwOwzmpF3JKAA0Tptc4XRBoQOWDp6lm7S+otAtGtAaLyVxklNwN1UsrWcc5Z/RDIcSEziuJStOA4aWG1Gckyg8gsdRRaQZlskGDg5cLm4imwqtjm41edfL0NANj+fPPR/xVE2mYhajZswjDFySnPL1h2mQXYn20c8tDk4D8InP3j1192eQCOFLe6e+f9gzvI9uzyAQDnPr/zx/MAAHAiO980cOhrvdsq/nvRVZXr4t4dv+32wO7Dl9L77npw8K2yHX9X7X4GXNN+2tcfvpn294QH3lpTcGUhg79AAEfWmh+3HmgKpxowZdfn3p6ddmLepH02DiK6MqYIrUuU8tT70zM2TH1kp51R105Ta3ylonu//304Br4zf66YOWfpHxaGN4kuPnSoGB8z4/Eu+7/MtOCa9OYGKYjkIgyA0CVqCMq6939HX3tp3CSNZ+3kS/EPKjO09VwCiBTYtZ0CdNGG59/qsXnuqqxe27ba2j7YKWv6o0tPBaB+EtZZDGWbAbeLbNs2ff357jy3usMz82evXMHlDVl01C+wQB44x96pz/7nm4/fPrH70XWrv//Pqt8PWITuvAAQGmwN0Bz4ojcK6mJDHiEi6uU++sn49y3dndu+ukhFkYuJtXmFFXgVGam6haX/VtTay8eVKbwnZCxAwEEpZngUSZwvFwO9R9uNIX9KqPhbxAH4LxDE7DLNANL1vRQAgCaoS9KAXAztCPKCnNKLdUNIQgS00qvvyfqWm20ncAAIXBTjrS5re5H2czI2vBhYnFd7KxtYY6zYKwIAfwmr6OKILCEABMS+zMoTmRKyglHcapcnsC5r9TzKKvNly1iQ+Sto+UseZRLnO1f9fICxkrstxuG0b5W54kjQewPeAgEI8ojKezHMQ0YY84YG4wgdCx6J/6ws4AEACNT+i9jVxeJ0KQ4EMGH+mDuvceyUsQC+XBExu1R1d8C5ks9fV8sEADHHBi+7uWXuPDB09om2iSkG8GYeuYJwHxJzABiEDxtSUF0Q3l/hxeDLVYmExSuHCg44P171NMaK3N/rZZNs5jl+bzYu6Rwgf0xwXA7yTshc4RtRdciF8XI4CaUB7f0+LMdQvFTJRL/nSiekVUKkpNBhEzHYeFpluLoaOQB4COnlSE7hbDL/aRkLMn+uCJ9t0d5Dun+QRjVQhbRG3ftejqeD5fdXREPdtJ05g1MVGBZHEziw15FeIYkYiyGtwSOGsKewMLk4p8zvANUAl/SiJuAC3EARIsBqfYiB318SRtrVoU2BwFoJywFwhO+wRH+/R6pW0Q7AEnxSEeE5W6cFC4CrSwAR8ByeeM/QN6jSEuV9dawgJHTB+pe7H0tq1XnwSzPm/v0J1X3SpgK+F1/S9K4pUPT9gfKI4wVVfMYCGrNODOADAFFin6femzZqQNsEDeuy+LUgcstCdJFU8WkLqIzaqw6RDvnwyyHUnmcHvrGmJLjSKAv8p8E1PV9csmGi8tvnJvznQs35VYxdyUvd6sITB8+cn7HjyReOOUOEMZnz5YRWXwIQ6pY9Rr3z4bRfvqG7jlp2muJL8p78/PFFzVZPX3ZhKgAAMABQkO9kAAiNSUnQgYrjP+/UYkEfAAAgAElEQVRN/eoRy+I3C/yPMbhaK8PBWY+N4LyBHdIpuCIlI1la+OeSTaf1vVphcd2feKDDuo8OVbD1kbCuYuDqRJMc8tb+sHWnHQDOznqj68gVQx5p/dnREwGBevHBVhxeOrLv2vb973tuwvTtE1/8Ze7EZ3644I2ckRdhgR2z5sAfvRFz19WGkeDRiyr57etFv9U1V8zNK9DyeIZbJuPbOs45xAywhJwDwHBjQAwiV271uOiT+C6DMjVAENKrbehKQUzlDA+weL8IZyVPF9Y4whZgMOzqH18rBmYIiEDkuhj5kF6whACAaf3qkXZVG0okB9aF4cAFQn2iiXPWyAUAWHurqT34VydZj9SoNMoCQxLRvDVlwn2/6H3P2xLe9gSOKj171J48gm/tvz51RU9A7CsGVRKJE7Irc6261cUS/j0y7gmP3KCmLJy0pw8vU3su13wevSZsrlBXvcL6i1cMXi+zsieKTLdW1i+2LzA7qz9/hetpESHy/q0gFX4xxsq6e6THdH4PXy6eRkTzblcKJyGmD0gUENgvr8P8X2irvEJkp4QKm4hc2yqjqqsmDRAAPIT2ch2c4pF6C0GRFjkAKuGzRp363qg72FpENBTqzK8vvYQR0hqNJwYpcSzXisc7Et68upZEV9Q8tRHGX9gtlpTFlT8S/u3x1v2V03aMPq4i769QtWE8B3FRWz/ulntL67yzNsISAF1R6ABtolHCkfbiIgBpSooBPIetZD0HbcpReDKz8GTm4d2WlHMLx49O/W3RRb43ARzHAeDRfAmRoRnAcAIDAJBkPLrum0mm3z+Z+O7+PJ+0+fA3V08InYtlWQAsyB3syfW/4qOGLXzvseyJ3x3zVKkbfYH/JLjurllf//IEu+Tp8XP32qv76IZyZSgE1YXr+z/ZR2uEnw8Pv/qPH+8o6P9M21eOXN04x7hyd6+cOK/HoE+HDU9ZcTovKGyuTWKd+z6b2GKpNtmswb2+9Gn//XXIqV2FJIBSaVBwJM14MmeNfeTTwKULZIKfxhRaKQFQn7PgYQM7tFMwbe+Zyx9jFtz76qeXaFix8uMHFh95/42pG0e9cZqoj4R1FIOjSQZAlaAiwM4AAGnJL4e7U7WiK6/16lhgFDCOrD++m/LnuuUvLt81740//h7/zWVhhhcW2LFuDlFGb+i8Qm0Ygphbo4kUWAXGSnv4cIuGb+s4h0HNzjwCHMbVjDwMAAPC/U28K/i7wSRx9YhdSDG46sxR1HhVQoJSP1umUyvs/9X7rRhm9BrGO3ly1Si/SOnB3crRVk2x0VlYrXD0BV5LOPNygIV5UuAuqy1vKqQdPcpubv0Upy5bX7pcTUWziBWNK4USPC0UVhdzRu0PWFRdadcuSt2eJTcqqVoN85qwEVgXr7/CihHByzi52VS2s/JMK07bqyWR+/SPu7itSdYdIg7Urr88xtescf0VxZsqD6WHySUMHgkrI7mOPa3AVhkxKfivsDpLFaJVNokA4CGMl+viFI6LrqODSNaoS9+LR9/BBhPRUDdbZx4MwYr1HDhEDHvNBfFNVi9hhLRG44rB5mnL3tDgWgbHMM7oME/yBs4HvbTn8ddFfekaGUviTAXBBrcXh9x1HjP08okyZbIONJujiGrkrUmEByWm5OiRYlH7BztqMAAAUWqfvunMmd/P+/mzRQ/HchxgogiTe/+F/Rchpc89yXVboJFl9LgVcj95/7tfDuWcOHV8d1a4U4TXQuX/9u7doz7Y3376H0ufuq36Jrl6FNhoiJqNeW/tU8TnE/5vTo3pRIO7MghBdbH2zTPG3Dn8oar/xi08BnDy/Qn3fJR97fthvPojJdcWc20SRzoK84vsqQ998JDh/H+/O+gBAEKtk7IBhgO64kLOiSIvy7EBBpNpYralo2Zgh3MKEd+6pcZXmGWtXMigSzIPF4ChlUEcKwmjE4NzXcgqgWaDOmgrj/4pm92SBGUnS0Mc0ImuwOjl8+b8faQET2pvFLz2GkWwiRIGPTPtjYdvDbp6MNbNIZroDSEGxMCGNYi5Nf6JAsMjD6jacvRhRTRvnwCALZdSQMtaVt91LCflScAWXD2vDgDsCVPBa0Z/IDiXjAJGmoTRJWLqyn/BC/ahxGDLZRTQ8rZ1vGVNTMuSgNqhc52QkkWSwHlx9CHA2RS2xWbbBVI31aK5cvS9HgWGNi+D017AE+iwgzRNBI5qKr5IKlqi5trZ9a2jW8rjcyUGDGDyUBdKcxhHA6bkvWtaQcqTa3q5jmEDAOCROY8Qoh4uxZ1OGSd3Hq29BHJt2Aisi99f4cSI5GW2WOo/K/OflfnPSa6cUMBUlFiO0cVVkynOKQ1UAGFiMd5c0TSiOunF2SWkF6Td/UTYsSxEAAhrlZGTrnBt2EQTbNfSNAKAh5BejsIp1UgpeRKwlyVR7ZXgtUad+t7IHWxIf0U01E3VmdcES3arzJj/UKQD5E1KL2GEtEbji8FhrF1E+2jVA26iXHX1o6rhJKzM5BNRl8VUec35PwCwhO9POdvMpWzpU5px3wGJgLdoVR0KJjc1a64Xq9I0YpAlNm91q9hdnFdgpcCX/cPiY2Pe+/Dts2+tPaXuO/ulVmU/T9xsYflz8SSJEvpOH5N0KftSqR83tuz1woxu4tNLNhbyfw2AKdj82aoXl7y18gPlop/3lUKrdrqaNwKEJlBwNBdeeO7FMefXnCwOiFNv0QFYozYN5875ftxYds26WZs/Ku85eeMlup4FNgrKzrNf7ubb8q91FaZ2bUwAAEBZ8y8V+zheV8YYQXUxjoLcq3tkNKkuAKLo/JkSHweAqTpMee5228kz+W7M2LrfpOl3is98trmIAt4kwOWprVu1SGvR/a7hz4/pIt3z0b1LTnsBAJdo5ThtDdpBwDEUgym0MsF3bfAFdlin0JcP7C+cOe7D10e/vDqzVJJ+/9Sn2waOfZjrAzxOmISCxOB8p3/86uzYufPnTvEt20W1nzq/r+jIu6svkIIL5JFQnDz03RfSc3YdySrx4vpWI198wOzZ/VfE74GEJ2KwqbpOXT5riAb6+Q499P4FKspcdYQvennEEGZDHmJujcYvMDx4hlsmETmj//C1Tek46IwfaYnDtF4rK+1rV8ol9j8lEV5i2RT2vQ7T4FKTWuvOFjPAihJYcq+KrF6lCC2GTeE46IgfUWaU6Nx5BJjIWh+RDg0tClhA29uhsqgCDgzTU3id9iEFJK5vEuCZEv3EcuZDo6cCq0+BofViCf9RCdxnixsE7gsEmIP0wljZULvMJfMXiliWFbchccAYb1SPzXyuZHCyDMPaOTW3Q4BjCLfcfaa612MJshDHujq0d4KfZAi/3JNT9SIFi/PL2gIrpxT97UpZlZcj1xUWjNypono6DCOA2ZPgi7CRJzq9QhLBX2HEEORlziHz2+3qUXbVelXAyYk7OTRmLPCHOELG8I1IoF4BqWOLTDG63PysxnlYSnkAU9b0csgAENYqIyXxhA1PsPHQlAOAj0hOwVo4tX0Zvw0kPewqlci5XdowPXZ4L0fsYEP6K5Khbq7OvDLJTEp8IErzaoa5iTyd5Vikp96mpFdYxIzYyIKUxgnAtJQ4iWMdItpTfQAqpDX4xeAtUIAYmJ6UxNPiDL+yj1tKyGyfasmgl/aCBilgczXuihLNo3bMq7TV5ZKOK1QtAUg7Tl62fWxc5S8Tv/h+IuTNGfjQwjwa6PwvXpikfue1aYs+UdHWQ+vnD337ygXO4XOFT8LlcRk9x06Z1CxOBJyrcN/WhYM/+P50pO0LrH3PlNEzLs+Z9NyCRa/iAP7y03uPl0RqkoHcFQ9N1y6e8tzqkVoxAO215R3ZGerVZlh8uWsefz7jwMr5P/zf6QGfnfPVu8CGRpLY+Q4dGIa/s+PqfmT7irFDJx7x8boy1sS6LlyuN3ccMWPCFKMYwHP5wLaPh733XQ4ZIQmkrWd9u3y8uuLMiYPLZz72yYasisoVNkymlWIsFXx5BkMyuLweuwB4ApvHKd6TS+57BVs4edrGMUoAqjT7r7kT3l1TygIhUEJhYgB5fuGEqfK3Zsz6euU74Dnz+5IRc9ZWnrEQWCCPhAQXMPZ+5b1nUpQYgCfv0Japjy/acu19nNETKdj8+Xu2WwYPse3aa6GjzxVzQoohzIZ8xNwajV5gODBW2sOPldVl6ziH+9YmlHsrdEPLlRJgCpS2T/WuiOflONy/zlxmtev62A29OACMKVTYjlRPNsKJweG+NQkWh03Xxxo/CAAwpkQWcEaqixY7lxrxMXbteA9OALAYa5X6I+YKhhK7VsSLZ5YZnnaRH2soSmiBYc2L0TuN5doK3QBr/GAALkgvjMNwRj6oXKMEAODsEu8v8ba8+tRVCR7YEOcx2jSPWYAS+bdKPVc/sIwFtsS5EirU4yxqmvD/JvXkEMDhdK6U7uw0Pu8EwJg8ZcVinfuKlwWEDQAAcKUqR47TeIvY+Vek6W60eoUiUgCEFkNY2JAS++cGGO3QveDGATinxLcpviLiFdPCGhGfhBi9J77E7dDe49E97sQAwCvyb5cEeTlUAAhrlTxJ/GEDEDrY+GniAcAregSncIxskFWtBK5c5lxqcBTWv5mHgsfLkTvYUP7iN9TN1pnTOG3FFPeVmQHYCon/L2P5nwo64gym6egVHizZYZrmrmqffS3mvkBtTCr5U8QBjzX4xOArUIgYnGSgJaEHy5RKAvsMJTuUZPAN5kIHKaAkrt9k6kf89HYVee2WtCjAblO0FJIPgUAgEIhGQ+mLn2cRbUss+V3ckEs114kYMacx9WpqdUkChnml0l2Jxb/WT57GrAsRDI/lb9RgazQISjOrWFtmKloqq9tKfdPvKpu+hMK4UfUSRtO3Rj0kxJrZEicHXO8muMrrsHzw1cPJlT/E4h50BAKBQCAaEryFWyYWO+q4U+5GFSPmNKZeTaMuTtTNrlaLA6U43tapUBCe0/WVpzHrQgTDE1E3arA1fZp+V9n0JRTGjaqXMJq+NYRIKKMkCRymCqjHuGGfyWMVuIcCLQEgEAgEommDsbIefqxU66vLUvcNK0bMaUy9mkhdGIdrGFk/t1rNgVfs3WC01+ka6n+2LkQwfJa/QYOt6dP0u8qmL6Ewbki9xKR+dolaGyIlsDKl9Gj487GxtYZgMXgQJCGe6oyf5CFYIrAvrmxDpA868lQu+CBA9sKZAutsLNrNeF9ALqTXPwXSKxik1z8F0isYpNc/hTC9eGj6KiMQCAQCcQ2UFEqlIT4aiNOQ5I10t90NJwYf0Tw5oIMACAQCgUAgEAgEAoFosogDkCLog3c3pBgxo0ksWiBuIriA4tS+hFMVN9AWJQQCgUAgEAgEAoG4Pmj0XQDunPT/7pEBAADbYlhu/8QGuZf+n4JyKC47mcSUgATNcMPA+eQ5WTpdquXWuEb5OAdHXPo74498ssfIgnaaqzVGjEPkyuuLpu6vMHF43XOT6cXTb9zIQxuvl5t600MgEAgEAlGbyiUAUbMZm35+q0VwQsnHI+9/PYus+g1X3vbE+7++bv5g0MMLK68LB7xkZ4tNxfZRoy1xlZcgkqot36WQvXLvb0vzPAkomhc9mIAzLt0f20J9UiG28OhF6Hs+OmXe+Ht7piixQNnhzd9Me3ttpqvqoY22aw/uNZ67LKYAxEp/8i2lfTr5pJGfb3DLkZRtFdYxyQ38MMSjlyxtzJQZLz3Qq4NRBL6SfRu/nr7gp5Oeqoc2oXo1FhHjEABwTa/pX/76fNsDU+8auMXBAQArOb6++SF7cC6qw8gLdxo5AAAOd9lEHAn2mpt3IsVhTF3Jq5e846yT68YmXkmxrru7/9sHfETeplZ/ltQuSdXx4phu/kiXEzcWEf1FaDoOHjdl7MABt6WLd0xqO3m/GwAaJA5D+8t3IfmnHWovCwCAS8mEDFu3O2zxUuF6qe5ccG7VEE3NP8+cM7jff7M9Z9J/2CVpNuDCPRk0BgA+zYYfEvTDzvdJYAHCxmGjwucvTNVq+FvzXni8W6IcPLm7182b+5+fCkgAuM71wjUdHvpo/rMPd4gjyLIDP38x+Z2fs7wcANAliT9skrd7MK+rngPAXGeT1++Up92bd1czGgMh/UbshzYh4zIAAGHo9so7r04dkKGhyg+uX/LCOxtO+6qGAMalPrI7PqdIQuG0sbm1Zw+bKWJzAH4vN9aoh0AgEAgEImYE7QII7H17yIITnqrfKMtFCgAAxKbOw16aPunFHkaAvPpXiEspvRRYnG60aUxIvSQZD7w/qf25lR+MO2VTth/59vRX15Nnb52T6QEAWn5wS2KO1HHnPY54GeaxKspFjKjpPdyE9hfNiGSWjR+/OreIir/tgXlT5vzoOX3bgmwfXOd6VYIpujy/ZP0TJuaaXERyybA7fdXhzMm11a+qcKr9sAtmDxunr/HyqonEIQAQco2COzP7sbnbHBwAcJT9gh8AmJR+eaMoAFZ85o+UHHXJsB4+MQAhJ5vK/L+acHphiraTl/xnTkbOyu9XTP7sYkHReW9lQiPGIRMQe1lfjxElZoxwlWkP70/4NUA9PMAdzawnpF7erM+GPbymerVCkjF63tejnJuOO6oDEr+0z1iaUmIWX1NcmDhsfELqhWm6L1r95vDTXz07dkeBqtPEebNWLfXeMeLL7KrJ5vWqF2Ea9O2qWb2Of/XUuN3lSf3nvDV3q8La6aWd1ppv6CmLcdsulaJDfq9m1evXde83GqhLqfO4LEp7/ovP5qTvX/DS4lOafnNmz/tVVNr5tf12DoBU7NuUfFZq7zGwREMqT+xL2OyG0UNt6ojnAZuMlxEIBAKBQMSCoCUAylGQdeacu9YfyFpNe3dSzxPfjZvV5ev30qIvmPUqT+yLP3VR5uc4ZYKja6+y1nERNkZyXvW+7fEXLBI/AyCizC2s3e+0GyXR1xmakHqRucv7915OUSwAwM7jge59V93eKVGUmUsD61Fc9rLN+pXemswCAJg9zaPQiypO+mGzhgQAiF/7TXxlJV1H53XWcYzVtPYnTep9F3qZWADMcTxj7VFy8GOFKeJ6qRzaX3TRD2++U/Xz3rOKe+5afFuGGsv2cQL1AsBcZ5O27FO7KABgNcn2O3pbMtRVD4K+y4YjJ9VFFonHj7MAuNJ5z6jLaZUTLFp86UT8sbMqixsH4KR6V6/Bxc2VlRmx/L9afBMgWIyJS6/o2dtqDpqThdYLAABPuHfO2gm+eeM/HPm/BbWeWnEJpY8L1JqhCNuay+NKXkPxWiO8XrhCL/MVHs86e8pT49/F6kAcALCcQgS4hIqrqR1PXTwSCmiVkc0VUi9M1fvVRTOxz3sO/vFczTeH/HHIuNRH9sTnFEoonI5vYe3R/epbynAq8/sLcFajDxgkYDD5JRb1lnKZl3VLcfCebfb9TuLKn3Fu/S//TcD75o5ozacX6y48erSw8mdx+iMLRsYffn/iohx/ldJifzyr3ZtdMbITGRyfEeIwfEtpNH/Jm999j7542bvLfsomAXJefm/AmE97dlB/lW1tanoRFza2PBB/aUx3f61DbKH0wk19xg1W5Ex/7cv1RSxA1tOKbqfnjx/y792ryq7+EevS7vjN4EoueeB2ryQavRqXuo7L8nbjpt/mXTvh9QU7nRzszZJ3PP7Ss8MWHlxdBp4L8Wc8/u7DS29RcwDeeLnof78aj5U5+phZnkGKxxoRmh4CgUAgEIgmSsRvAfiz/zV4IMdxqp631qFYUrF/Y+pZma37wDIdSC4cTdj5K6YaU5zEO7nlSElRiUTR6XL/ZIa0qY8fNG+w4w8Oq9A2yDcLWerK22VCnxFPeC7mWRkAAFwW0Evwy6fVzgSHppZ9wuslji8bObqiZH+znXb7wIF2DQ4ArDzS4dgGVFmkadP/kWdaB/YsOGHjhOsFwMlMjjv625RyjnUrTu6J/3M79fCIyhdHmCdff7qIbte9JEVLizHcH2CNlfNUVnz2z4ydBUxqR8tdCaQMx71uMMquWkPT3HJHGoV5VJl743/H/Q/390R8MStOGblswW1bZ4z7KrfL/dHZQNGiaHQizjp1v/9eh625fK7kM1R4a/CBa8w6kd+qMhlU+Vb3tdsbQhO+Lh4JBbVKYeDxd/1rjJm7MHbzgVeTpd7cAz+/OXfJunwSeOOQ86t2b0jOlTruHFCqoRSn9idssmOjhlfoCD6Vo2p6LOEs1WYVYfq27sp3nrJEpwESLhWLbtNRGABpVdmA7JLARLsdATeMeHVSt6IVPVdfvLLEgYn9nbpRf+81XWxdGLyuwReHPC2lEf1FlucWcqOHDGz1bk6WG9N06p2OXfol281d53rhCr0C2IpSd+WslS3POlGMD+qWLLmyBMB6VXt3Jxaoy4cPsGuqX98L6zcalbDjMmHu0jWRPrXutPn1X7Y+V/zWXZ/+fXHm2IEtZKvLiPKLMi7Oklq1DgsSkyNFoi3KlzBmP09VPNYQNuohEAgEAoH4pwl6BFcN+bL0XNXPvu2TMp7b6wIAAI4LP6K7DOu/NQT/gxEAANwX4nP87gH3l6bLAMBr0uLFa4w5ltKk5IivUzh1ojs5iYUkT6KKWLPNcLzM3tdcr5cw4fSqAlN2fe7t2Wkn5k3aVzlVBqm790DLX9sT1/ygb36L7dZ2TpOiygJ8eolojY51SzgQ0VpdoC5zeIEqh9dL1Hz8qpOvtwEA259vPvq/gqq1DmF6AYh17uY6AACI96u8mvwDKjttU195Xpf6W7Z2mmrO5ahS44ECSLnr0sCWIT8MwemaOdNTWACvwqb+JVdTQXsSq0sIrZco5an3p2dsmPrITjujDlEilZe6Ymm1/mkFjw70iAFwCaWTAAt13Job3pWRAzuUNfj0ApFa4ysV3fv978Mx8J35c8XMOUv/sES3EhCqLh4J69Eq+Qipl7LNgNtFtm2bvv58d55b3eGZ+bNXruDyhiw66ueJQ8x9wXjO5+8xoqS9hgPwmJWi//1qOGEJag4hzcvf9Fjl1pVtK3/EjdZhHaveHuNKd6u4hAO5Cm9bhxLD7fkyRulIVl3t6/j7DWmrh94YgP06+YeTNWZPnDytvOPx9MOnZGlBUzOeOORpKfXwF0aTOMMBAGA4KxZzwSWH1Isu2vD8Wz02z12V1WvbVlvbBztlTX906amr2zeaiF58hNKLLj50qBgfM+PxLvu/zLTgmvTmBimI5FePnUiytyVTuPPe+8pNQat1AvuNhqGO47IoLkULjpMWVpuRLDOIzFJHoRWUyQYJBoTdgxHqgPxKAyHoOAXkVYhY3quB+KwhfNRDIBAIBALxDxLmWwC0q8gTJkcNFI6777FpKgd+SrF7swkAAHDnZSlH4X+salujKg/OARv9mV+Z2WnE1BaLiDWT9Xm04NML1/R8ccmGicpvn5vwnwtXvzknNVsHj7VXFGizT5o2HItP71Vw1y0BUYz04qFOKofXiy5Y/3L3Y0mtOg9+acbcvz+huk/aVMAI1gvzFsbtP6IrqhCTGCMjCGAZOsJrHsxTIg9g/japfB+GBAAAThFHQ0BMBj38h9ILTxw8c37GjidfOOYMU3XwtwBwCdUwN13UKwDC+IvM+XJCqy8BCHXLHqPe+XDaL9/QXUctO02FL0ighNBA0RvSX+pEkxzy1v6wdacdAM7OeqPryBVDHmn92dETAGHjEHMWS0BtS7zyltLoNmDaevcAvh4jShIJ3OeUnzsav2kjNvy+sgQxAE6nt/Xv36+97HO0kooLiwl5qksXNMvh7Q8Vdzw5pmX55uf/rnWoHDA8cEs316m/jAUtXBAZnpZSj2CjFH+tTr1UuY6ks4wZZQ2em4XWC1ekZCRLC/9csum0vlcrLK77Ew90WPfRoYpq9f5pvfCyPc035FQ369L05acAAOJ7595XXUxIvbwnP398UbPV05ddmAoAAAwAFOQ7ryyxMfGppCVPs/+Qy9DbpWqSM1gh4zIAeA5PvGfoG1RpifK+6n/CaBoIUVAHinFiAlga418CQCAQCAQCccMR8VsA/BC0zuCvvhFAJMGgchrNcQAK+z2DbEGP1ByhiHqTbUwJqxeuu2vW1788wS55evzcvfbaL15xJq5ZRe9m9rZHm/2815ybeqmtSrBeHAYYE+vzpDz+ohyFJzMLT2Ye3m1JObdw/OjU3xZdrE6ro16sQ7/1t3hfuqXPnR61CHOeT/zzZBTCYQDAReNuHOcAgA16Lg2hF67v/2QfrRF+Pjz86j9+vKOg/zNtX8mu+pNQ3wKoQSx2p9YnsCO0L8aVu3vlxHk9Bn06bHjKitNCv7wZXkKsgVplKL04mmQAVAkqAuwMAJCW/HK4O1Ub1N2EisMGAWc1+kCcBMDoM+uI0vX6E2Xl9yazAJwy3Za4PzEnX9w8SXnJyST3CQSvHPH5S3XrhEH6onXrM30hEqVJ1vaK9Mxz/tDTqlpxGL6lCPeXyH/7kIJ2lceaJKSyphyh9MK0vWcuf4xZcO+rn16iYcXKjx9YfOT9N6ZuHPXG6SaiFxvXOX/ULRgAUbAj7aT+8qBOAQJApLyaK7S/WOe+zya2WKpNNmtwry992n9/HXJqV+GV1V4moXNB34yEjduTN2GF9/VyK67V7Z/e1V7HcZmuKHSANtEo4Uh7cRGANCXFAJ7DVpIDTiwCmsKvKsRhJA24gsMrf4lmkPqnrYFAIBAIBCIWNMjbUk6TSEKeogIrTQ/3WSCcwwEL8L7qpGxKG8cmGeiGeUEhajbmvbVPEZ+Pf2bOXkf4Jx9Wl+pVHFVX+DBQRdaLEHNAEVTNRFxKS4CwO3HOHOH1XcxV5liOA0yEX1tttHrRDmUFBLp1q0jXcACgdESzR51TJvilnOpMoahZi4gbAaKAtW+eMeZORXVJ6u5f/jCDeH/CUxtzvNFkJ1gCMD8VSpDwcRjKlVEEdv3Aqxwv2GZ8Eja08MFiuC5klcADgzpovyysYAFTNrslCYvfQRoAAAd9SURBVMrWlF5r6GvjUHnZUx6n4QCALFdZOaZZfFTNIWTTu0YugKAXnpjC3Smd+e2UtphR2aXuHsZoV+mUbYcM0JSv35IX+gg1EWjbxXPybz3NQo1TUiHikKel1CPYMEZv9ujrkIGIb91S48vLslZeLEeXZB4ugK6tDDWX1P5RvUQKMk4BAIRdzBFyUh8XiH7s4khHYb5L0/n5Dx4ynP/6u4PBb9IxTtW8ZASLr9+RvE17cVjHoGIF9RvRDG0NCVNy9EixaOiDHTWbdzk5EKX26ZvOnFlw3g/A6FQc65L6WLeksg3Q4nIPqJpTeDSDVHhrRNX0EAgEAoFANCEiP0ZhclOz5nqxKk0jBlli81a3it3FeQVWvkccTtXC0vZ46tFNab7OtlQ9A6TYHvC3vcV/5fw4LgvoxFj+cUMu+DCvSJbmSK4+D1x83JgV8KpY2emDOp/W2sHUMF9jVnae/XI335Z/raswtWtTeX6BsuZfKvYB69bsPybVJ3vjlCwXkOZl6rxid7KaA4BIerGqBBI7oz1ywt8unqVcYnGaPVXJYQpPCwMcPGjOxG1mOWYrr3WmMpYqixL6Th+TdCn7UqkfN7bs9cKMbuLTSzYWUgAC9SLUPi0Ys4/qNG19SgJzWwkAOpIUIE4o75qk3vtX+u/l1pZmUopjAU+wl+sK4yjIdVz5TZPqAiCKzp8p8UVTHC4LGKTY+UzDWfCKfCJJqiOleqt5+DgM7cqIgV1XMFWHKc/dbjt5Jt+NGVv3mzT9TvGZzzYXCZ5A8EgYe+F58J3+8auzY+fOnzvFt2wX1X7q/L6iI++uvkACfxw2L2+VmXLgdzPXxaWh5FkHtJSprGNUzSG0vwAAWNzlkNhFuN+uyDlkcMkcva5O9RlzR7v6Z8PfhzBpi7Iovt1YiTi1e2dDIHvrhbAfUZOnWVvJmmV5aqyXhYxDnpbSiP6iLx/YXzhz3Ievj355dWapJP3+qU+3DRz7MLf2JofrTS8AXJ7aulWLtBbd7xr+/Jgu0j0f3bvk9DXrhpyqZcm9lvTNB5MzEy/eEc/y6HUlKUy/wZcUU8KOy77sHxYfG/Peh2+ffWvtKXXf2S+1Kvt54mYLC8AYm/vwvzV5zorbdBwA+C7rimi6TTOSAIAIgxSPNcI3PQQCgUAgEE2UyEsA0o6Tl20fG1f5y8Qvvp8IeXMGPrSQd6MyJvX0vL9AfcCYfSQphwYgaEOL0hZt/JIrL+Ak3m69HM59hh2/A6HydDE5khXVeQOqzL/i/MBqUqz39ik3Nsypbkli5zt0YBj+zo6rW8vtK8YOnXgEOBYIn/LYToOHAgBWbXb0GmZJk0Wll7J5ce/ipENHk7ZyIFJ7uiTYU5UAONn+niLvTtOJHalHAUBE65N88qC3KTFUGZfHZfQcO2VSszgRcK7CfVsXDv7g+9MkAAjUi9Bb7+1P7D1q/DOXYAFwEaNOCLVdtrYcZLuBefJj8cfPmf46iQGAVOvpGOTlRkXsu72PzbE7bue2OELp6WJypCirk8LHYUhXRg7sOoLL9eaOI2ZMmGIUA3guH9j28bD3vsshI2cMB4+EMReeD/L8wglT5W/NmPX1ynfAc+b3JSPmrM2jAfjjUObuPaJItsd0ZLuWxhhji7JhPSp00YkX0l+ElJaDau8vzQEAxJQx2TrgDmtK0OUTIoOtS1Lc35epju180a4AgCStoxlKfrsY6hRAdbn+9h39WftqFhkyDsO3lMb0l/fkkvtewRZOnrZxjBKAKs3+a+6Ed9eUXrP48s/rxcZ3Kukmo6L9UJ+09axvl49XV5w5cXD5zMc+2ZBVEXobE5PYtbjdxbTje3Rt7quo+rqNoH6DLymWhBuXaaDzv3hhkvqd16Yt+kRFWw+tnz/07f12DgBAkV7W4Xj64d+S2M4uNanIOqzGml3uEFe5NybCIMVjjdCjHgKBQCAQiKYLdpuipbCc2QtnxlYUYO2GdT8adYPP3ZsSkzf/7Wa8LyBX7PXiQZDK14FegkB6BYP0ahzwsv0Zm0tsD16Z+N0gel0L0iuYG1UvHrIXzgTOr8g6YMo8JwsQZFr78ju7OLUNs8iOQCAQCASicYnmyeGrh5Mrf0DDPwKBuPkgHXI7Bf7iuD3Z0GaoXYM+iY64CcBk3lv7FWjZ5lsLA6ktPBr0AIBAIBAIxM0IegJAIBA3Hbj1WPLmcyJc7mvTt+BOc8N8cASBaIowKb0Kuu9K2vdTqwMa152DL9+iQUf3EQgEAoG4qRB+EACBQCAQCMR1CYaDUsSRFEaiFQAEAoFAIG4K0EEABAKBQCBuVjgW3GQM7mxFIBAIBAJxvYFOwCIQCAQCgUAgEAgEAnFTgJYAEAgEAoFAIBAIBAKBuClASwAIBAKBQCAQCAQCgUDcFKAlAAQCgUAgEAgEAoFAIG4K0BIAAoFAIBAIBAKBQCAQNwVoCQCBQCAQCAQCgUAgEIibArQEgEAgEAgEAoFAIBAIxE0BWgJAIBAIBAKBQCAQCATipgAtASAQCAQCgUAgEAgEAnFTgJYAEAgEAoFAIBAIBAKBuJE5ZyEr////WNck8WgyvCoAAAAASUVORK5CYII="
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Screenshot%20from%202019-01-04%2018-13-57.png](attachment:Screenshot%20from%202019-01-04%2018-13-57.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<SparkContext master=local[*] appName=Daily_Show_Test1>\n"
     ]
    }
   ],
   "source": [
    "sc = pyspark.SparkContext(appName=\"Daily_Show_Test1\")\n",
    " \n",
    "print(sc) #"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Dhankar >> PySpark initiated with FindSpark\n",
    "# SparkContext started \n",
    "# Got CSV from \n",
    "# Converted CSV to TSV \n",
    "# Now importing data from TSV \n",
    "# raw_d == the SPARK RDD Object\n",
    "# Print out top 15 Rows\n",
    "\n",
    "raw_d = sc.textFile(\"dsT1.tsv\")\n",
    "# \n",
    "# In the above line of Code - actual Loading of CSV in RDD is Not yet Done \n",
    "# Its Done LAZILY - \"as and when ABOSULUTELY required\" as below - \n",
    "#"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['YEAR\\tGoogleKnowlege_Occupation\\tShow\\tGroup\\tRaw_Guest_List',\n",
       " '1999\\tactor\\t1/11/99\\tActing\\tMichael J. Fox',\n",
       " '1999\\tComedian\\t1/12/99\\tComedy\\tSandra Bernhard',\n",
       " '1999\\ttelevision actress\\t1/13/99\\tActing\\tTracey Ullman',\n",
       " '1999\\tfilm actress\\t1/14/99\\tActing\\tGillian Anderson',\n",
       " '1999\\tactor\\t1/18/99\\tActing\\tDavid Alan Grier',\n",
       " '1999\\tactor\\t1/19/99\\tActing\\tWilliam Baldwin',\n",
       " '1999\\tSinger-lyricist\\t1/20/99\\tMusician\\tMichael Stipe',\n",
       " '1999\\tmodel\\t1/21/99\\tMedia\\tCarmen Electra',\n",
       " '1999\\tactor\\t1/25/99\\tActing\\tMatthew Lillard',\n",
       " '1999\\tstand-up comedian\\t1/26/99\\tComedy\\tDavid Cross',\n",
       " '1999\\tactress\\t1/27/99\\tActing\\tYasmine Bleeth',\n",
       " '1999\\tactor\\t1/28/99\\tActing\\tD. L. Hughley',\n",
       " '1999\\ttelevision actress\\t10/18/99\\tActing\\tRebecca Gayheart',\n",
       " '1999\\tComedian\\t10/19/99\\tComedy\\tSteven Wright']"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_d.take(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['YEAR', 'GoogleKnowlege_Occupation', 'Show', 'Group', 'Raw_Guest_List'],\n",
       " ['1999', 'actor', '1/11/99', 'Acting', 'Michael J. Fox'],\n",
       " ['1999', 'Comedian', '1/12/99', 'Comedy', 'Sandra Bernhard'],\n",
       " ['1999', 'television actress', '1/13/99', 'Acting', 'Tracey Ullman'],\n",
       " ['1999', 'film actress', '1/14/99', 'Acting', 'Gillian Anderson']]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Using a 'map' function operate on all elements within a RDD object\n",
    "# \n",
    "\n",
    "daily_show = raw_d.map(lambda line: line.split('\\t'))\n",
    "daily_show.take(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['YEAR\\tGoogleKnowlege_Occupation\\tShow\\tGroup\\tRaw_Guest_List'],\n",
       " ['1', '9\\tactor\\t1/11/', '\\tActing\\tMichael J. Fox'],\n",
       " ['1', '9\\tComedian\\t1/12/', '\\tComedy\\tSandra Bernhard'],\n",
       " ['1', '9\\ttelevision actress\\t1/13/', '\\tActing\\tTracey Ullman'],\n",
       " ['1', '9\\tfilm actress\\t1/14/', '\\tActing\\tGillian Anderson'],\n",
       " ['1', '9\\tactor\\t1/18/', '\\tActing\\tDavid Alan Grier'],\n",
       " ['1', '9\\tactor\\t1/19/', '\\tActing\\tWilliam Baldwin'],\n",
       " ['1', '9\\tSinger-lyricist\\t1/20/', '\\tMusician\\tMichael Stipe'],\n",
       " ['1', '9\\tmodel\\t1/21/', '\\tMedia\\tCarmen Electra'],\n",
       " ['1', '9\\tactor\\t1/25/', '\\tActing\\tMatthew Lillard']]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "daily_show = raw_d.map(lambda line: line.split('99'))\n",
    "daily_show.take(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pyspark.rdd.PipelinedRDD'>\n"
     ]
    }
   ],
   "source": [
    "print(type(daily_show)) ## <class 'pyspark.rdd.PipelinedRDD'>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PythonRDD[9] at RDD at PythonRDD.scala:53\n"
     ]
    }
   ],
   "source": [
    "#reduceByKey() ##\n",
    "\n",
    "tally = daily_show.map(lambda x: (x[0], 1)).reduceByKey(lambda x,y: x+y)\n",
    "#\n",
    "print(tally) #PythonRDD[9] at RDD at PythonRDD.scala:53"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\\nCPU times: user 56 ms, sys: 0 ns, total: 56 ms\\nWall time: 503 ms\\n'"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Explanation ##\n",
    "#%time bigger_chunk = raw_d.take(5000) \n",
    "\n",
    "# 1st RUN \n",
    "# CPU times: user 8 ms, sys: 8 ms, total: 16 ms\n",
    "# Wall time: 274 ms\n",
    "\n",
    "\n",
    "#%time bigger_chunk = raw_d.take(50000) \n",
    "# 2nd RUN\n",
    "# CPU times: user 12 ms, sys: 8 ms, total: 20 ms\n",
    "# Wall time: 299 ms\n",
    "\n",
    "#%time tally.take(tally.count())\n",
    "\"\"\"\n",
    "CPU times: user 56 ms, sys: 0 ns, total: 56 ms\n",
    "Wall time: 503 ms\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.indexes.datetimes.DatetimeIndex'>\n",
      "                                                                                                                                                                                    \n",
      "DatetimeIndex(['2019-01-01', '2019-01-02', '2019-01-03', '2019-01-04',\n",
      "               '2019-01-05', '2019-01-06', '2019-01-07', '2019-01-08',\n",
      "               '2019-01-09', '2019-01-10', '2019-01-11', '2019-01-12',\n",
      "               '2019-01-13', '2019-01-14', '2019-01-15', '2019-01-16',\n",
      "               '2019-01-17', '2019-01-18', '2019-01-19', '2019-01-20',\n",
      "               '2019-01-21', '2019-01-22', '2019-01-23', '2019-01-24',\n",
      "               '2019-01-25', '2019-01-26', '2019-01-27', '2019-01-28',\n",
      "               '2019-01-29', '2019-01-30'],\n",
      "              dtype='datetime64[ns]', freq='D')\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib notebook\n",
    "\n",
    "dates = pd.date_range('20190101', periods=30)\n",
    "print(type(dates))\n",
    "print(\"  \"*90)\n",
    "print(dates)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   A         B         C         D         E         F  \\\n",
      "2019-01-01 -0.274021 -0.526743 -1.417882 -0.052270  0.736923  1.251460   \n",
      "2019-01-02  1.019388 -0.276377 -0.086586 -0.075384 -0.469768  1.357838   \n",
      "2019-01-03  0.115425  0.835901  0.174856 -0.817301  0.367212 -1.491671   \n",
      "2019-01-04  0.654194 -0.375799  0.350479 -0.924795 -0.573621  1.610364   \n",
      "2019-01-05 -0.690174 -0.574103 -0.019763 -1.592275 -0.051804 -0.415804   \n",
      "2019-01-06 -1.428117 -1.195625  0.609043  1.912394  1.852141 -2.135954   \n",
      "2019-01-07  0.327856 -0.890929  0.218548 -1.032310  0.044817  0.357085   \n",
      "2019-01-08  1.141624 -2.131249  1.046434  0.459372 -0.045934  0.075732   \n",
      "2019-01-09  1.350714 -0.966212  0.553683  2.154412 -0.759263 -0.027373   \n",
      "2019-01-10 -0.321909 -0.598362 -0.654002 -0.816495 -0.471047 -0.666584   \n",
      "2019-01-11 -1.986969 -0.532504  2.118923 -0.485428  2.603792  1.257012   \n",
      "2019-01-12 -0.598720 -1.633192 -0.472679  0.773392  1.404901 -0.000833   \n",
      "2019-01-13  0.667746  2.127216  0.268052  1.845916 -0.227877 -1.183380   \n",
      "2019-01-14  1.741883  0.026643  0.369157 -0.045462 -2.739400 -0.702299   \n",
      "2019-01-15  0.848398  0.351326  0.865877  0.319250 -0.195197 -0.513348   \n",
      "2019-01-16  0.655090 -0.361821 -0.836388 -0.828380 -0.117627 -1.019363   \n",
      "2019-01-17  1.599691  0.166938  0.282925  0.094405 -1.861371  1.677585   \n",
      "2019-01-18  0.574490  0.602791  0.583982  0.787998  1.778040 -0.169008   \n",
      "2019-01-19 -1.058829 -1.188905 -0.623866 -2.035183  0.706366  0.400563   \n",
      "2019-01-20  1.324508  0.175267 -1.152810  0.955806  0.007369  1.056387   \n",
      "2019-01-21  1.623349 -0.397769 -1.588138  1.248571 -0.449837 -0.952811   \n",
      "2019-01-22  0.767953 -0.892549  0.235145 -1.014856 -0.095927  2.548800   \n",
      "2019-01-23 -0.775355 -1.151074  3.020047 -1.450639 -1.609157 -1.087332   \n",
      "2019-01-24  1.642149 -0.077271 -0.008464  0.413203 -0.282940 -0.587642   \n",
      "2019-01-25 -1.543763 -0.618524  1.356922 -0.227444 -0.819156  0.601908   \n",
      "2019-01-26 -0.624861 -0.422055  0.327485 -2.313460  0.073149  1.044513   \n",
      "2019-01-27 -0.806985 -0.478424 -0.894642  0.289233  0.930200 -0.433874   \n",
      "2019-01-28 -0.605447  1.661376  1.733454  0.593430  0.859583 -0.234789   \n",
      "2019-01-29  0.642139 -0.376939  1.475743 -0.523448  0.698307  0.332714   \n",
      "2019-01-30  0.295201 -0.118483 -1.186537 -2.639239  0.929674  0.967022   \n",
      "\n",
      "                   G         H         I         J  \n",
      "2019-01-01 -0.490712 -0.838672 -1.216661 -0.004694  \n",
      "2019-01-02  0.132799  0.077553  0.232142 -0.775557  \n",
      "2019-01-03  1.233055 -0.140058  1.488011 -1.744126  \n",
      "2019-01-04 -0.473251  1.635270 -0.264727  0.990922  \n",
      "2019-01-05  0.864059  1.056416 -1.126592  0.344389  \n",
      "2019-01-06  0.697988  0.128379  0.456285 -0.003687  \n",
      "2019-01-07 -0.211996  1.918649 -0.589488  0.011021  \n",
      "2019-01-08  1.093153 -0.219218 -0.538248  1.070504  \n",
      "2019-01-09 -1.286772  0.146400  0.116849 -0.017887  \n",
      "2019-01-10  0.763914  0.120239 -0.011433  2.133015  \n",
      "2019-01-11  2.124366  0.990242  0.341616 -0.789076  \n",
      "2019-01-12 -1.002664  1.054574  0.385570 -0.287139  \n",
      "2019-01-13  1.857313 -0.014900  0.999002 -1.067333  \n",
      "2019-01-14 -0.417712  0.395657  0.912798  0.195096  \n",
      "2019-01-15  0.117987 -1.392914  1.166000  0.048143  \n",
      "2019-01-16  0.765581 -0.136652 -0.767044  0.512799  \n",
      "2019-01-17 -1.606204 -0.194305  0.028409  0.603023  \n",
      "2019-01-18 -0.005221  0.105919  0.814699  0.531684  \n",
      "2019-01-19  0.537335 -0.920859 -0.077355 -0.466790  \n",
      "2019-01-20 -0.292622  1.055973 -0.423919  0.431782  \n",
      "2019-01-21  0.255851 -1.162695 -1.629117 -1.005843  \n",
      "2019-01-22  1.211909  1.573213  1.042724  0.659565  \n",
      "2019-01-23 -1.617104  0.043820  0.561523  0.027695  \n",
      "2019-01-24 -1.287953  0.044805  0.643131 -1.199871  \n",
      "2019-01-25 -0.002411 -0.619762 -0.762996  0.342799  \n",
      "2019-01-26  1.495126 -0.144582 -2.195270  0.251064  \n",
      "2019-01-27  2.872342  0.086359  1.233108  1.090616  \n",
      "2019-01-28 -0.915709  0.160317 -1.174612  1.014472  \n",
      "2019-01-29  0.968395 -0.254014 -0.959329  1.743712  \n",
      "2019-01-30 -0.470300  0.337169  0.516209  0.742324  \n"
     ]
    }
   ],
   "source": [
    "df_dts = pd.DataFrame(np.random.randn(30,10), index=dates, columns=list('ABCDEFGHIJ'))\n",
    "print(df_dts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       A          B    C    D     D_a       E        F\n",
      "0  199.0 2019-01-01  1.0  100  1000.0  my_STR  foo_bar\n",
      "1  199.0 2019-01-02  1.0  100  1000.0  my_STR  foo_bar\n",
      "2  199.0 2019-01-03  1.0  100  1000.0  my_STR  foo_bar\n",
      "3  199.0 2019-01-04  1.0  100  1000.0  my_STR  foo_bar\n",
      "4  199.0 2019-01-05  1.0  100  1000.0  my_STR  foo_bar\n",
      "        A          B    C    D     D_a       E        F\n",
      "35  199.0 2019-02-05  1.0  100  1000.0  my_STR  foo_bar\n",
      "36  199.0 2019-02-06  1.0  100  1000.0  my_STR  foo_bar\n",
      "37  199.0 2019-02-07  1.0  100  1000.0  my_STR  foo_bar\n",
      "38  199.0 2019-02-08  1.0  100  1000.0  my_STR  foo_bar\n",
      "39  199.0 2019-02-09  1.0  100  1000.0  my_STR  foo_bar\n"
     ]
    }
   ],
   "source": [
    "my_dict = {'A':199.,\n",
    "           #'B':pd.Timestamp('20190101'),\n",
    "           'B':pd.date_range('20190101', periods=40),\n",
    "           'C':pd.Series(1,index=list(range(40)),dtype='float32'),\n",
    "           'D':np.array([100]*40,dtype='int32'),\n",
    "           'D_a':np.array([1000]*40,dtype='float64'),\n",
    "           #'E':pd.Categorical([\"Ytest\",\"Ytrain\",\"Xtest\",\"Xtrain\"]), # 4 hardcoded strings\n",
    "           'E':np.array([\"my_STR\"]*40,dtype='str'),\n",
    "           'F':'foo_bar'}\n",
    "\n",
    "df2 = pd.DataFrame(my_dict)\n",
    "print(df2.head(5))\n",
    "print(df2.tail(5))\n",
    "\n",
    "## my_dict_from_dict_comprehension =  {x: x**2 for x in (2, 4, 6)}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       A          B    C    D     D_a        D_b        D_c       E        F\n",
      "0  199.0 2019-01-01  1.0  100  1000.0   4.259934  13.199441  my_STR  foo_bar\n",
      "1  199.0 2019-01-02  1.0  100  1000.0  26.578697  10.935413  my_STR  foo_bar\n",
      "2  199.0 2019-01-03  1.0  100  1000.0  30.883259  34.493439  my_STR  foo_bar\n",
      "3  199.0 2019-01-04  1.0  100  1000.0   1.443396  88.544454  my_STR  foo_bar\n",
      "4  199.0 2019-01-05  1.0  100  1000.0  28.604473  22.817267  my_STR  foo_bar\n",
      "        A          B    C    D     D_a        D_b        D_c       E        F\n",
      "35  199.0 2019-02-05  1.0  100  1000.0  10.875673  46.251329  my_STR  foo_bar\n",
      "36  199.0 2019-02-06  1.0  100  1000.0  13.217765 -63.030147  my_STR  foo_bar\n",
      "37  199.0 2019-02-07  1.0  100  1000.0  22.675758  71.711212  my_STR  foo_bar\n",
      "38  199.0 2019-02-08  1.0  100  1000.0  20.710182 -61.840822  my_STR  foo_bar\n",
      "39  199.0 2019-02-09  1.0  100  1000.0  26.918973 -81.035641  my_STR  foo_bar\n"
     ]
    }
   ],
   "source": [
    "my_dict = {'A':199.,\n",
    "           #'B':pd.Timestamp('20190101'),\n",
    "           'B':pd.date_range('20190101', periods=40),\n",
    "           'C':pd.Series(1,index=list(range(40)),dtype='float32'),\n",
    "           'D':np.array([100]*40,dtype='int32'), ## SPARK Dtype == long (nullable = true)\n",
    "           'D_a':np.array([1000]*40,dtype='float64'), ## SPARK Dtype == double (nullable = true)\n",
    "           'D_b':np.random.uniform(low=0, high=40, size=(40,)), ## DEFAULT SPARK Dtype == double (nullable = true)\n",
    "           'D_c':np.random.uniform(low=-100, high=100, size=(40,)), ## DEFAULT SPARK Dtype == double (nullable = true)\n",
    "           #'E':pd.Categorical([\"Ytest\",\"Ytrain\",\"Xtest\",\"Xtrain\"]), # 4 hardcoded strings\n",
    "           'E':np.array([\"my_STR\"]*40,dtype='str'),\n",
    "           'F':'foo_bar'}\n",
    "\n",
    "df2 = pd.DataFrame(my_dict)\n",
    "print(df2.head(5))\n",
    "print(df2.tail(5))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'collections.OrderedDict'>\n",
      "                                                                                          \n",
      "{1: 5, 10: 50, 20: 100, 5: 25, 33: 165}\n",
      "                                                                                          \n",
      "<class 'dict'>\n",
      "                                                                                          \n",
      "OrderedDict([(1, 1), (10, 100000), (5, 3125)])\n"
     ]
    }
   ],
   "source": [
    "from collections import OrderedDict\n",
    "## https://docs.python.org/2/library/collections.html#ordereddict-objects\n",
    "## https://docs.python.org/2/library/collections.html#ordereddict-examples-and-recipes\n",
    "\n",
    "my_dict_from_dict_comprehension =  OrderedDict({x: x**5 for x in (1, 5, 10)}).__class__\n",
    "my_ORDERED_dict_from_dict_comprehension =  OrderedDict({x: x**5 for x in (1, 5, 10)})\n",
    "my_dict_from_dict_comprehension1 =  {x: x*5 for x in (1, 5, 10 , 20 , 33)}\n",
    "my_dict_from_dict_comprehension_class =  {x: x*5 for x in (1, 5, 10 , 20 , 33)}.__class__\n",
    "#\n",
    "print(my_dict_from_dict_comprehension) ## Doesnt give an ORDERED DICT ?\n",
    "print(\" \"*90)\n",
    "print(my_dict_from_dict_comprehension1) ## Doesnt give an ORDERED DICT ?\n",
    "print(\" \"*90)\n",
    "print(my_dict_from_dict_comprehension_class) #.__class__ ## Chained above with DOT Notation \n",
    "print(\" \"*90)\n",
    "print(my_ORDERED_dict_from_dict_comprehension) # OrderedDict([(1, 1), (10, 100000), (5, 3125)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The DATA Types ---\n",
      "\n",
      " A             float64\n",
      "B      datetime64[ns]\n",
      "C             float32\n",
      "D               int32\n",
      "D_a           float64\n",
      "D_b           float64\n",
      "D_c           float64\n",
      "E              object\n",
      "F              object\n",
      "dtype: object\n"
     ]
    }
   ],
   "source": [
    "print(\"The DATA Types ---\\n\\n\", df2.dtypes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['A', 'B', 'C', 'D', 'D_a', 'D_b', 'D_c', 'E', 'F'], dtype='object')"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[199.0 Timestamp('2019-01-03 00:00:00') 1.0 100 1000.0 30.883258934544383\n",
      " 34.49343921968767 'my_STR' 'foo_bar']\n",
      "                                                                                                                                                                                                                                                                              \n",
      "[199.0 Timestamp('2019-01-04 00:00:00') 1.0 100 1000.0 1.443395958291327\n",
      " 88.54445359138737 'my_STR' 'foo_bar']\n",
      "                                                                                                                                                                                                                                                                              \n",
      "[[199.0 Timestamp('2019-01-04 00:00:00') 1.0 100 1000.0 1.443395958291327\n",
      "  88.54445359138737 'my_STR' 'foo_bar']\n",
      " [199.0 Timestamp('2019-01-05 00:00:00') 1.0 100 1000.0\n",
      "  28.604472974851415 22.817266950362438 'my_STR' 'foo_bar']]\n"
     ]
    }
   ],
   "source": [
    "print(df2.values[2]) ## Numpy Array of \"values\" - print the 2nd RECORD\n",
    "#\n",
    "print(\"   \"*90)\n",
    "print(df2.values[3]) ## Numpy Array of \"values\" - print the 3rd RECORD\n",
    "#\n",
    "print(\"   \"*90)\n",
    "print(df2.values[3:5]) ## Numpy Array of \"values\" - print the 3rd RECORD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<bound method NDFrame.describe of         A          B    C    D     D_a        D_b        D_c       E        F\n",
      "0   199.0 2019-01-01  1.0  100  1000.0   4.259934  13.199441  my_STR  foo_bar\n",
      "1   199.0 2019-01-02  1.0  100  1000.0  26.578697  10.935413  my_STR  foo_bar\n",
      "2   199.0 2019-01-03  1.0  100  1000.0  30.883259  34.493439  my_STR  foo_bar\n",
      "3   199.0 2019-01-04  1.0  100  1000.0   1.443396  88.544454  my_STR  foo_bar\n",
      "4   199.0 2019-01-05  1.0  100  1000.0  28.604473  22.817267  my_STR  foo_bar\n",
      "5   199.0 2019-01-06  1.0  100  1000.0   1.546117 -75.137443  my_STR  foo_bar\n",
      "6   199.0 2019-01-07  1.0  100  1000.0   9.433286 -10.111833  my_STR  foo_bar\n",
      "7   199.0 2019-01-08  1.0  100  1000.0  18.338019 -61.566053  my_STR  foo_bar\n",
      "8   199.0 2019-01-09  1.0  100  1000.0  21.607442 -87.060408  my_STR  foo_bar\n",
      "9   199.0 2019-01-10  1.0  100  1000.0   1.018799  58.727274  my_STR  foo_bar\n",
      "10  199.0 2019-01-11  1.0  100  1000.0   8.982050  59.780313  my_STR  foo_bar\n",
      "11  199.0 2019-01-12  1.0  100  1000.0  32.723562  12.587770  my_STR  foo_bar\n",
      "12  199.0 2019-01-13  1.0  100  1000.0   8.134931 -79.529600  my_STR  foo_bar\n",
      "13  199.0 2019-01-14  1.0  100  1000.0   0.879642  63.455735  my_STR  foo_bar\n",
      "14  199.0 2019-01-15  1.0  100  1000.0  31.597763  92.497674  my_STR  foo_bar\n",
      "15  199.0 2019-01-16  1.0  100  1000.0  21.370875  40.951229  my_STR  foo_bar\n",
      "16  199.0 2019-01-17  1.0  100  1000.0  30.604560 -61.473815  my_STR  foo_bar\n",
      "17  199.0 2019-01-18  1.0  100  1000.0  11.771886  45.843190  my_STR  foo_bar\n",
      "18  199.0 2019-01-19  1.0  100  1000.0  23.769982  96.968611  my_STR  foo_bar\n",
      "19  199.0 2019-01-20  1.0  100  1000.0   0.393847  26.902931  my_STR  foo_bar\n",
      "20  199.0 2019-01-21  1.0  100  1000.0  24.401790 -50.745732  my_STR  foo_bar\n",
      "21  199.0 2019-01-22  1.0  100  1000.0  35.115058  38.516487  my_STR  foo_bar\n",
      "22  199.0 2019-01-23  1.0  100  1000.0   7.259503 -40.433845  my_STR  foo_bar\n",
      "23  199.0 2019-01-24  1.0  100  1000.0   7.459515  98.418381  my_STR  foo_bar\n",
      "24  199.0 2019-01-25  1.0  100  1000.0  35.269885 -18.528472  my_STR  foo_bar\n",
      "25  199.0 2019-01-26  1.0  100  1000.0  23.801511  72.796997  my_STR  foo_bar\n",
      "26  199.0 2019-01-27  1.0  100  1000.0  38.119475 -52.166962  my_STR  foo_bar\n",
      "27  199.0 2019-01-28  1.0  100  1000.0  18.694793  91.182023  my_STR  foo_bar\n",
      "28  199.0 2019-01-29  1.0  100  1000.0   6.804958 -76.515165  my_STR  foo_bar\n",
      "29  199.0 2019-01-30  1.0  100  1000.0  27.939217  70.647018  my_STR  foo_bar\n",
      "30  199.0 2019-01-31  1.0  100  1000.0  22.895632  -4.511398  my_STR  foo_bar\n",
      "31  199.0 2019-02-01  1.0  100  1000.0  17.303685  66.671929  my_STR  foo_bar\n",
      "32  199.0 2019-02-02  1.0  100  1000.0  38.362984 -48.884021  my_STR  foo_bar\n",
      "33  199.0 2019-02-03  1.0  100  1000.0  18.769033  88.410813  my_STR  foo_bar\n",
      "34  199.0 2019-02-04  1.0  100  1000.0  20.882653 -78.548298  my_STR  foo_bar\n",
      "35  199.0 2019-02-05  1.0  100  1000.0  10.875673  46.251329  my_STR  foo_bar\n",
      "36  199.0 2019-02-06  1.0  100  1000.0  13.217765 -63.030147  my_STR  foo_bar\n",
      "37  199.0 2019-02-07  1.0  100  1000.0  22.675758  71.711212  my_STR  foo_bar\n",
      "38  199.0 2019-02-08  1.0  100  1000.0  20.710182 -61.840822  my_STR  foo_bar\n",
      "39  199.0 2019-02-09  1.0  100  1000.0  26.918973 -81.035641  my_STR  foo_bar>\n"
     ]
    }
   ],
   "source": [
    "print(df2.describe)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                      0                    1                    2   \\\n",
      "A                    199                  199                  199   \n",
      "B    2019-01-01 00:00:00  2019-01-02 00:00:00  2019-01-03 00:00:00   \n",
      "C                      1                    1                    1   \n",
      "D                    100                  100                  100   \n",
      "D_a                 1000                 1000                 1000   \n",
      "D_b              4.25993              26.5787              30.8833   \n",
      "D_c              13.1994              10.9354              34.4934   \n",
      "E                 my_STR               my_STR               my_STR   \n",
      "F                foo_bar              foo_bar              foo_bar   \n",
      "\n",
      "                      3                    4                    5   \\\n",
      "A                    199                  199                  199   \n",
      "B    2019-01-04 00:00:00  2019-01-05 00:00:00  2019-01-06 00:00:00   \n",
      "C                      1                    1                    1   \n",
      "D                    100                  100                  100   \n",
      "D_a                 1000                 1000                 1000   \n",
      "D_b               1.4434              28.6045              1.54612   \n",
      "D_c              88.5445              22.8173             -75.1374   \n",
      "E                 my_STR               my_STR               my_STR   \n",
      "F                foo_bar              foo_bar              foo_bar   \n",
      "\n",
      "                      6                    7                    8   \\\n",
      "A                    199                  199                  199   \n",
      "B    2019-01-07 00:00:00  2019-01-08 00:00:00  2019-01-09 00:00:00   \n",
      "C                      1                    1                    1   \n",
      "D                    100                  100                  100   \n",
      "D_a                 1000                 1000                 1000   \n",
      "D_b              9.43329               18.338              21.6074   \n",
      "D_c             -10.1118             -61.5661             -87.0604   \n",
      "E                 my_STR               my_STR               my_STR   \n",
      "F                foo_bar              foo_bar              foo_bar   \n",
      "\n",
      "                      9          ...                            30  \\\n",
      "A                    199         ...                           199   \n",
      "B    2019-01-10 00:00:00         ...           2019-01-31 00:00:00   \n",
      "C                      1         ...                             1   \n",
      "D                    100         ...                           100   \n",
      "D_a                 1000         ...                          1000   \n",
      "D_b               1.0188         ...                       22.8956   \n",
      "D_c              58.7273         ...                       -4.5114   \n",
      "E                 my_STR         ...                        my_STR   \n",
      "F                foo_bar         ...                       foo_bar   \n",
      "\n",
      "                      31                   32                   33  \\\n",
      "A                    199                  199                  199   \n",
      "B    2019-02-01 00:00:00  2019-02-02 00:00:00  2019-02-03 00:00:00   \n",
      "C                      1                    1                    1   \n",
      "D                    100                  100                  100   \n",
      "D_a                 1000                 1000                 1000   \n",
      "D_b              17.3037               38.363               18.769   \n",
      "D_c              66.6719              -48.884              88.4108   \n",
      "E                 my_STR               my_STR               my_STR   \n",
      "F                foo_bar              foo_bar              foo_bar   \n",
      "\n",
      "                      34                   35                   36  \\\n",
      "A                    199                  199                  199   \n",
      "B    2019-02-04 00:00:00  2019-02-05 00:00:00  2019-02-06 00:00:00   \n",
      "C                      1                    1                    1   \n",
      "D                    100                  100                  100   \n",
      "D_a                 1000                 1000                 1000   \n",
      "D_b              20.8827              10.8757              13.2178   \n",
      "D_c             -78.5483              46.2513             -63.0301   \n",
      "E                 my_STR               my_STR               my_STR   \n",
      "F                foo_bar              foo_bar              foo_bar   \n",
      "\n",
      "                      37                   38                   39  \n",
      "A                    199                  199                  199  \n",
      "B    2019-02-07 00:00:00  2019-02-08 00:00:00  2019-02-09 00:00:00  \n",
      "C                      1                    1                    1  \n",
      "D                    100                  100                  100  \n",
      "D_a                 1000                 1000                 1000  \n",
      "D_b              22.6758              20.7102               26.919  \n",
      "D_c              71.7112             -61.8408             -81.0356  \n",
      "E                 my_STR               my_STR               my_STR  \n",
      "F                foo_bar              foo_bar              foo_bar  \n",
      "\n",
      "[9 rows x 40 columns]\n",
      "CPU times: user 28 ms, sys: 0 ns, total: 28 ms\n",
      "Wall time: 28.3 ms\n"
     ]
    }
   ],
   "source": [
    "%time print(df2.T) # Transpose"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        A          B    C    D     D_a        D_b        D_c       E        F\n",
      "39  199.0 2019-02-09  1.0  100  1000.0  26.918973 -81.035641  my_STR  foo_bar\n",
      "38  199.0 2019-02-08  1.0  100  1000.0  20.710182 -61.840822  my_STR  foo_bar\n",
      "37  199.0 2019-02-07  1.0  100  1000.0  22.675758  71.711212  my_STR  foo_bar\n",
      "36  199.0 2019-02-06  1.0  100  1000.0  13.217765 -63.030147  my_STR  foo_bar\n",
      "35  199.0 2019-02-05  1.0  100  1000.0  10.875673  46.251329  my_STR  foo_bar\n",
      "34  199.0 2019-02-04  1.0  100  1000.0  20.882653 -78.548298  my_STR  foo_bar\n",
      "33  199.0 2019-02-03  1.0  100  1000.0  18.769033  88.410813  my_STR  foo_bar\n",
      "32  199.0 2019-02-02  1.0  100  1000.0  38.362984 -48.884021  my_STR  foo_bar\n",
      "31  199.0 2019-02-01  1.0  100  1000.0  17.303685  66.671929  my_STR  foo_bar\n",
      "30  199.0 2019-01-31  1.0  100  1000.0  22.895632  -4.511398  my_STR  foo_bar\n",
      "29  199.0 2019-01-30  1.0  100  1000.0  27.939217  70.647018  my_STR  foo_bar\n",
      "28  199.0 2019-01-29  1.0  100  1000.0   6.804958 -76.515165  my_STR  foo_bar\n",
      "27  199.0 2019-01-28  1.0  100  1000.0  18.694793  91.182023  my_STR  foo_bar\n",
      "26  199.0 2019-01-27  1.0  100  1000.0  38.119475 -52.166962  my_STR  foo_bar\n",
      "25  199.0 2019-01-26  1.0  100  1000.0  23.801511  72.796997  my_STR  foo_bar\n",
      "24  199.0 2019-01-25  1.0  100  1000.0  35.269885 -18.528472  my_STR  foo_bar\n",
      "23  199.0 2019-01-24  1.0  100  1000.0   7.459515  98.418381  my_STR  foo_bar\n",
      "22  199.0 2019-01-23  1.0  100  1000.0   7.259503 -40.433845  my_STR  foo_bar\n",
      "21  199.0 2019-01-22  1.0  100  1000.0  35.115058  38.516487  my_STR  foo_bar\n",
      "20  199.0 2019-01-21  1.0  100  1000.0  24.401790 -50.745732  my_STR  foo_bar\n",
      "19  199.0 2019-01-20  1.0  100  1000.0   0.393847  26.902931  my_STR  foo_bar\n",
      "18  199.0 2019-01-19  1.0  100  1000.0  23.769982  96.968611  my_STR  foo_bar\n",
      "17  199.0 2019-01-18  1.0  100  1000.0  11.771886  45.843190  my_STR  foo_bar\n",
      "16  199.0 2019-01-17  1.0  100  1000.0  30.604560 -61.473815  my_STR  foo_bar\n",
      "15  199.0 2019-01-16  1.0  100  1000.0  21.370875  40.951229  my_STR  foo_bar\n",
      "14  199.0 2019-01-15  1.0  100  1000.0  31.597763  92.497674  my_STR  foo_bar\n",
      "13  199.0 2019-01-14  1.0  100  1000.0   0.879642  63.455735  my_STR  foo_bar\n",
      "12  199.0 2019-01-13  1.0  100  1000.0   8.134931 -79.529600  my_STR  foo_bar\n",
      "11  199.0 2019-01-12  1.0  100  1000.0  32.723562  12.587770  my_STR  foo_bar\n",
      "10  199.0 2019-01-11  1.0  100  1000.0   8.982050  59.780313  my_STR  foo_bar\n",
      "9   199.0 2019-01-10  1.0  100  1000.0   1.018799  58.727274  my_STR  foo_bar\n",
      "8   199.0 2019-01-09  1.0  100  1000.0  21.607442 -87.060408  my_STR  foo_bar\n",
      "7   199.0 2019-01-08  1.0  100  1000.0  18.338019 -61.566053  my_STR  foo_bar\n",
      "6   199.0 2019-01-07  1.0  100  1000.0   9.433286 -10.111833  my_STR  foo_bar\n",
      "5   199.0 2019-01-06  1.0  100  1000.0   1.546117 -75.137443  my_STR  foo_bar\n",
      "4   199.0 2019-01-05  1.0  100  1000.0  28.604473  22.817267  my_STR  foo_bar\n",
      "3   199.0 2019-01-04  1.0  100  1000.0   1.443396  88.544454  my_STR  foo_bar\n",
      "2   199.0 2019-01-03  1.0  100  1000.0  30.883259  34.493439  my_STR  foo_bar\n",
      "1   199.0 2019-01-02  1.0  100  1000.0  26.578697  10.935413  my_STR  foo_bar\n",
      "0   199.0 2019-01-01  1.0  100  1000.0   4.259934  13.199441  my_STR  foo_bar\n",
      "CPU times: user 20 ms, sys: 4 ms, total: 24 ms\n",
      "Wall time: 26.7 ms\n"
     ]
    }
   ],
   "source": [
    "%time print(df2.sort_values(by='B',ascending=False)) ## SORTS - in Descending order of DATES in COL - B "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 40 ms, sys: 0 ns, total: 40 ms\n",
      "Wall time: 107 ms\n"
     ]
    }
   ],
   "source": [
    "## Create a SPARK DF from Pandas DF \n",
    "\n",
    "from pyspark.sql import SparkSession\n",
    "spark = SparkSession.builder.getOrCreate()\n",
    "\n",
    "%time df2_spark = spark.createDataFrame(df2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pyspark.sql.dataframe.DataFrame'>\n",
      "                                                                                                                                                                                    \n",
      "+-----+-------------------+---+---+------+------------------+-------------------+------+-------+\n",
      "|    A|                  B|  C|  D|   D_a|               D_b|                D_c|     E|      F|\n",
      "+-----+-------------------+---+---+------+------------------+-------------------+------+-------+\n",
      "|199.0|2019-01-01 00:00:00|1.0|100|1000.0| 4.259933692159192| 13.199441059561877|my_STR|foo_bar|\n",
      "|199.0|2019-01-02 00:00:00|1.0|100|1000.0| 26.57869749948212|  10.93541258455221|my_STR|foo_bar|\n",
      "|199.0|2019-01-03 00:00:00|1.0|100|1000.0|30.883258934544383|  34.49343921968767|my_STR|foo_bar|\n",
      "|199.0|2019-01-04 00:00:00|1.0|100|1000.0| 1.443395958291327|  88.54445359138737|my_STR|foo_bar|\n",
      "|199.0|2019-01-05 00:00:00|1.0|100|1000.0|28.604472974851415| 22.817266950362438|my_STR|foo_bar|\n",
      "|199.0|2019-01-06 00:00:00|1.0|100|1000.0|1.5461168494795219| -75.13744276855519|my_STR|foo_bar|\n",
      "|199.0|2019-01-07 00:00:00|1.0|100|1000.0| 9.433285717250467|-10.111832748581321|my_STR|foo_bar|\n",
      "|199.0|2019-01-08 00:00:00|1.0|100|1000.0|18.338018873175823| -61.56605295393798|my_STR|foo_bar|\n",
      "|199.0|2019-01-09 00:00:00|1.0|100|1000.0| 21.60744165591678|  -87.0604080801358|my_STR|foo_bar|\n",
      "|199.0|2019-01-10 00:00:00|1.0|100|1000.0|1.0187992181849381|  58.72727378765413|my_STR|foo_bar|\n",
      "|199.0|2019-01-11 00:00:00|1.0|100|1000.0|  8.98204995885893|  59.78031252752774|my_STR|foo_bar|\n",
      "|199.0|2019-01-12 00:00:00|1.0|100|1000.0|32.723562482729946| 12.587769896698802|my_STR|foo_bar|\n",
      "|199.0|2019-01-13 00:00:00|1.0|100|1000.0| 8.134930800460548| -79.52959972569133|my_STR|foo_bar|\n",
      "|199.0|2019-01-14 00:00:00|1.0|100|1000.0|0.8796417457424965|  63.45573474746121|my_STR|foo_bar|\n",
      "|199.0|2019-01-15 00:00:00|1.0|100|1000.0| 31.59776306295241|  92.49767384412067|my_STR|foo_bar|\n",
      "|199.0|2019-01-16 00:00:00|1.0|100|1000.0|21.370875386248684| 40.951228598905715|my_STR|foo_bar|\n",
      "|199.0|2019-01-17 00:00:00|1.0|100|1000.0|30.604560081591174| -61.47381544887569|my_STR|foo_bar|\n",
      "|199.0|2019-01-18 00:00:00|1.0|100|1000.0|11.771886241243452| 45.843190433686686|my_STR|foo_bar|\n",
      "|199.0|2019-01-19 00:00:00|1.0|100|1000.0|23.769982330219847|  96.96861102421505|my_STR|foo_bar|\n",
      "|199.0|2019-01-20 00:00:00|1.0|100|1000.0| 0.393847493777697| 26.902931201777065|my_STR|foo_bar|\n",
      "+-----+-------------------+---+---+------+------------------+-------------------+------+-------+\n",
      "only showing top 20 rows\n",
      "\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "print(type(df2_spark)) ## <class 'pyspark.sql.dataframe.DataFrame'>\n",
    "#\n",
    "print(\"  \"*90)\n",
    "#\n",
    "print(df2_spark.show())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "root\n",
      " |-- A: double (nullable = true)\n",
      " |-- B: timestamp (nullable = true)\n",
      " |-- C: double (nullable = true)\n",
      " |-- D: long (nullable = true)\n",
      " |-- D_a: double (nullable = true)\n",
      " |-- D_b: double (nullable = true)\n",
      " |-- D_c: double (nullable = true)\n",
      " |-- E: string (nullable = true)\n",
      " |-- F: string (nullable = true)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df2_spark.printSchema() ## DATA TYPES stored in SPARK"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-----+---+------+------------------+\n",
      "|    A|  C|   D_a|               D_b|\n",
      "+-----+---+------+------------------+\n",
      "|199.0|1.0|1000.0| 4.259933692159192|\n",
      "|199.0|1.0|1000.0| 26.57869749948212|\n",
      "|199.0|1.0|1000.0|30.883258934544383|\n",
      "+-----+---+------+------------------+\n",
      "only showing top 3 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "## SELECT Columns \n",
    "spark_col_names = ['A','C','D_a','D_b']\n",
    "df2_spark.select(spark_col_names).show(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-----+-------------------+---+---+------+------+-------+\n",
      "|    A|                  B|  C|  D|   D_a|     E|      F|\n",
      "+-----+-------------------+---+---+------+------+-------+\n",
      "|199.0|2019-01-06 00:00:00|1.0|100|1000.0|my_STR|foo_bar|\n",
      "+-----+-------------------+---+---+------+------+-------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "## FILTER same as the WHERE Clause from SQL\n",
    "\n",
    "df2_spark.filter(df2_spark.B == '2019-01-06 00:00:00').show()\n",
    "## SHOWS only ONE ROW where we have the TIMESTAMP - in COLUMN B == 2019-01-06 00:00:00"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-----+-------------------+---+---+------+------+-------+\n",
      "|    A|                  B|  C|  D|   D_a|     E|      F|\n",
      "+-----+-------------------+---+---+------+------+-------+\n",
      "|199.0|2019-01-06 00:00:00|1.0|100|1000.0|my_STR|foo_bar|\n",
      "+-----+-------------------+---+---+------+------+-------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df2_spark.filter(df2_spark.B == '2019-01-06').show()  ## PARTIAL String Match within Column B ??"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-----+-------------------+---+---+------+------+-------+\n",
      "|    A|                  B|  C|  D|   D_a|     E|      F|\n",
      "+-----+-------------------+---+---+------+------+-------+\n",
      "|199.0|2019-01-01 00:00:00|1.0|100|1000.0|my_STR|foo_bar|\n",
      "+-----+-------------------+---+---+------+------+-------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df2_spark.filter(df2_spark.B == '2019-01').show() ## Not OK ## PARTIAL String Match within Column B ??"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-----+-------------------+---+---+------+-----------------+------------------+------+-------+\n",
      "|    A|                  B|  C|  D|   D_a|              D_b|               D_c|     E|      F|\n",
      "+-----+-------------------+---+---+------+-----------------+------------------+------+-------+\n",
      "|199.0|2019-01-01 00:00:00|1.0|100|1000.0|4.259933692159192|13.199441059561877|my_STR|foo_bar|\n",
      "+-----+-------------------+---+---+------+-----------------+------------------+------+-------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df2_spark.filter(\"B == '2019-01'\").show() # Note the DOUBLE QUOTES "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Data Bricks --- SparkML --- Orange telecom CHURN Prediction data\n",
    "## SOURCE -- https://github.com/databricks/spark-csv#python-api\n",
    "\n",
    "from pyspark.sql import SQLContext\n",
    "sqlContext = SQLContext(sc)\n",
    "\n",
    "CV_data = sqlContext.read.load('./churn-bigml-80.csv', \n",
    "                          format='com.databricks.spark.csv', \n",
    "                          header='true', \n",
    "                          inferSchema='true')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pyspark.sql.dataframe.DataFrame'>\n"
     ]
    }
   ],
   "source": [
    "print(type(CV_data))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-----+--------------+---------+------------------+---------------+---------------------+-----------------+---------------+----------------+-----------------+---------------+----------------+-------------------+-----------------+------------------+------------------+----------------+-----------------+----------------------+-----+\n",
      "|State|Account length|Area code|International plan|Voice mail plan|Number vmail messages|Total day minutes|Total day calls|Total day charge|Total eve minutes|Total eve calls|Total eve charge|Total night minutes|Total night calls|Total night charge|Total intl minutes|Total intl calls|Total intl charge|Customer service calls|Churn|\n",
      "+-----+--------------+---------+------------------+---------------+---------------------+-----------------+---------------+----------------+-----------------+---------------+----------------+-------------------+-----------------+------------------+------------------+----------------+-----------------+----------------------+-----+\n",
      "|   KS|           128|      415|                No|            Yes|                   25|            265.1|            110|           45.07|            197.4|             99|           16.78|              244.7|               91|             11.01|              10.0|               3|              2.7|                     1|false|\n",
      "|   OH|           107|      415|                No|            Yes|                   26|            161.6|            123|           27.47|            195.5|            103|           16.62|              254.4|              103|             11.45|              13.7|               3|              3.7|                     1|false|\n",
      "|   NJ|           137|      415|                No|             No|                    0|            243.4|            114|           41.38|            121.2|            110|            10.3|              162.6|              104|              7.32|              12.2|               5|             3.29|                     0|false|\n",
      "+-----+--------------+---------+------------------+---------------+---------------------+-----------------+---------------+----------------+-----------------+---------------+----------------+-------------------+-----------------+------------------+------------------+----------------+-----------------+----------------------+-----+\n",
      "only showing top 3 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "CV_data.show(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['State',\n",
       " 'Account length',\n",
       " 'Area code',\n",
       " 'International plan',\n",
       " 'Voice mail plan',\n",
       " 'Number vmail messages',\n",
       " 'Total day minutes',\n",
       " 'Total day calls',\n",
       " 'Total day charge',\n",
       " 'Total eve minutes',\n",
       " 'Total eve calls',\n",
       " 'Total eve charge',\n",
       " 'Total night minutes',\n",
       " 'Total night calls',\n",
       " 'Total night charge',\n",
       " 'Total intl minutes',\n",
       " 'Total intl calls',\n",
       " 'Total intl charge',\n",
       " 'Customer service calls',\n",
       " 'Churn']"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "CV_data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "root\n",
      " |-- State: string (nullable = true)\n",
      " |-- Account length: integer (nullable = true)\n",
      " |-- Area code: integer (nullable = true)\n",
      " |-- International plan: string (nullable = true)\n",
      " |-- Voice mail plan: string (nullable = true)\n",
      " |-- Number vmail messages: integer (nullable = true)\n",
      " |-- Total day minutes: double (nullable = true)\n",
      " |-- Total day calls: integer (nullable = true)\n",
      " |-- Total day charge: double (nullable = true)\n",
      " |-- Total eve minutes: double (nullable = true)\n",
      " |-- Total eve calls: integer (nullable = true)\n",
      " |-- Total eve charge: double (nullable = true)\n",
      " |-- Total night minutes: double (nullable = true)\n",
      " |-- Total night calls: integer (nullable = true)\n",
      " |-- Total night charge: double (nullable = true)\n",
      " |-- Total intl minutes: double (nullable = true)\n",
      " |-- Total intl calls: integer (nullable = true)\n",
      " |-- Total intl charge: double (nullable = true)\n",
      " |-- Customer service calls: integer (nullable = true)\n",
      " |-- Churn: boolean (nullable = true)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "CV_data.printSchema()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+------------------+-----+----------------------+-----+\n",
      "|International plan|State|Customer service calls|Churn|\n",
      "+------------------+-----+----------------------+-----+\n",
      "|                No|   KS|                     1|false|\n",
      "|                No|   OH|                     1|false|\n",
      "|                No|   NJ|                     0|false|\n",
      "|               Yes|   OH|                     2|false|\n",
      "|               Yes|   OK|                     3|false|\n",
      "|               Yes|   AL|                     0|false|\n",
      "|                No|   MA|                     3|false|\n",
      "|               Yes|   MO|                     0|false|\n",
      "|               Yes|   WV|                     0|false|\n",
      "|                No|   RI|                     0|false|\n",
      "+------------------+-----+----------------------+-----+\n",
      "only showing top 10 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "## SELECT Columns --- after seeing them with --- .printSchema()\n",
    "spark_col_names = ['International plan','State','Customer service calls','Churn']\n",
    "CV_data.select(spark_col_names).show(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "## \n",
    "spark_col_names = ['International plan','State','Customer service calls','Churn']\n",
    "CV_data.select(spark_col_names).show(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+------------------+-----+----------------------+-----+\n",
      "|International plan|State|Customer service calls|Churn|\n",
      "+------------------+-----+----------------------+-----+\n",
      "|                No|   CO|                     5| true|\n",
      "|                No|   AZ|                     1| true|\n",
      "|               Yes|   MD|                     0| true|\n",
      "|                No|   WY|                     5| true|\n",
      "|                No|   CO|                     3| true|\n",
      "|                No|   TX|                     4| true|\n",
      "|                No|   DC|                     0| true|\n",
      "|                No|   NY|                     4| true|\n",
      "|                No|   TX|                     2| true|\n",
      "|                No|   IN|                     4| true|\n",
      "|                No|   NJ|                     1| true|\n",
      "|                No|   MS|                     1| true|\n",
      "|               Yes|   ME|                     0| true|\n",
      "|                No|   NV|                     1| true|\n",
      "|                No|   MS|                     4| true|\n",
      "|                No|   MS|                     4| true|\n",
      "|               Yes|   VT|                     2| true|\n",
      "|                No|   OH|                     0| true|\n",
      "|                No|   AK|                     5| true|\n",
      "|               Yes|   ME|                     4| true|\n",
      "|               Yes|   FL|                     2| true|\n",
      "|                No|   MD|                     1| true|\n",
      "|               Yes|   MD|                     0| true|\n",
      "|               Yes|   NV|                     2| true|\n",
      "|                No|   VA|                     0| true|\n",
      "|                No|   OR|                     4| true|\n",
      "|                No|   VT|                     1| true|\n",
      "|                No|   MN|                     1| true|\n",
      "|               Yes|   SD|                     2| true|\n",
      "|                No|   MT|                     1| true|\n",
      "+------------------+-----+----------------------+-----+\n",
      "only showing top 30 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "spark_col_names = ['International plan','State','Customer service calls','Churn']\n",
    "\n",
    "CV_data.select(spark_col_names).filter(\"Churn == 'true'\").show(30) #\n",
    "# DOT Notation Chained --- SELECT and FILTER\n",
    "#Note the DOUBLE QUOTES "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Row(max=3), Row(max=10)]"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## pyspark.sql.functions.array_max(col)\n",
    "##\n",
    "from pyspark.sql.functions import *\n",
    "\n",
    "dfMAX = spark.createDataFrame([([2, 1, 3],), ([None, 10, -1],)], ['data'])\n",
    "dfMAX.select(array_max(dfMAX.data).alias('max')).collect()\n",
    "#[Row(max=3), Row(max=10)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Row(max=1000), Row(max=4000)]"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## pyspark.sql.functions.array_max(col)\n",
    "##\n",
    "\n",
    "\n",
    "dfMAX = spark.createDataFrame([([2, 1000, 3],), ([None, 4000, -1],)], ['data'])\n",
    "dfMAX.select(array_max(dfMAX.data).alias('max')).collect()\n",
    "#[Row(max=1000), Row(max=4000)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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   "execution_count": null,
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