Starting to work with federal contracts by fiscal year and department xml files. Using a mix of pandas and matplotlib, and a homebaked xml reader.

prelim_fedXML

{
 "metadata": {
  "name": "DoD_other_example"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%load_ext autoreload"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 12
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%autoreload 2"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 70
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Extracting information from .xml files cataloguing by-Fiscal Year Federal Spending for every department\n",
      "==================================================================================\n",
      "At the [Federal Procurement Data System (FPDS)](https://www.fpds.gov/fpdsng_cms/index.php), you can find data in xml format that describes in detail every contract the US Federal Government has agreed to in a given fiscal year, from contracts with obligations in 2013 to 2004.  Already I'm shocked by the sheer number of contracts just within DoD--other.  Of course the amount of money owed is mind spinning as well.\n",
      "\n",
      "In order to work with this data in this format I poked around on xml readers for python, but nothing seemed effective and appropriate.  I tried loading it into LibreOffice's spreadsheet program but it froze.  So, I decided to write my own.  Since each line of an xml file representing one year of contracts for a given department of government has data for an individual contract, we use a single xml line to initiate a `Contract` object, whose methods extract pertinent information regarding the contract.  Let's see by example below.\n",
      "\n",
      "As a quick note, to get these files go to the [archives](https://www.fpds.gov/fpdsng_cms/index.php/archives) page at the FPDS.  You'll see this selection of directories:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.core.display import Image "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 71
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Image(filename=(\"images/SuperFolders_byFiscalYear.png\"))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "png": 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b9c8qSXTC5potN3t4WRbsilHOz2rZGePUiQ22eqtXvun2HmXb+3qVbXVvmhBC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\nACIHG6Qi74LhAAAAAElFTkSuQmCC\n",
       "prompt_number": 72,
       "text": [
        "<IPython.core.display.Image at 0xda21190>"
       ]
      }
     ],
     "prompt_number": 72
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "If you click on FY11-V1.4, you'll see"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Image(filename=(\"images/FY11_DepartmentsAndAgencies.png\"))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "png": 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RI5PtjmEYhrktTHiyUR86WXrtjTt/d/mhI/fc+/A9R478+fK9H5tsFwzDMMxt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\n6S+//38f/T20+s+jLzzz4n8VV88f4cLNW2RuZlihFeKoyT4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       "prompt_number": 73,
       "text": [
        "<IPython.core.display.Image at 0xda21090>"
       ]
      }
     ],
     "prompt_number": 73
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Finally, let's click on on `1200-AGRICULTUREDEPARTMENTOF` and found the zip file containing the xml files.  Here is what you'd see after clicking on that:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Image(filename=(\"images/AgricultureDeptOf.png\"))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "png": 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8sf5pvesEwBZ6yOONrZSnhlbfFWnB/lR4OeKf92qwDFcqqsKqRwPVWHEQ8dol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\n",
       "prompt_number": 74,
       "text": [
        "<IPython.core.display.Image at 0x3c71a590>"
       ]
      }
     ],
     "prompt_number": 74
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Click on that, unzip the file you downloaded, and you'll have the xml files.  For the example below, I chose a different xml contracts file to look at, FY12 for OTHER_DOD_AGENCIES.\n",
      "\n",
      "So, let's use the Contract class to extract info from file, as shown below."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from dod_xml_reader import Contract "
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "This next step takes a few seconds to complete"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "f = open('data/OTHER_DOD_AGENCIES-AWARD.xml', 'r' )\n",
      "lines=[]\n",
      "for line in f:\n",
      "    lines.append ( f.next().split('</') )\n",
      "\n",
      "f.close\n",
      "    #for fun pick out a rochester-based contract (harris corporation)\n",
      "harris_roc = lines[-2]\n",
      "ct = Contract( harris_roc )"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 19
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ct.naics()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 20,
       "text": [
        "'334220'"
       ]
      }
     ],
     "prompt_number": 20
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ct.city()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 21,
       "text": [
        "'ROCHESTER'"
       ]
      }
     ],
     "prompt_number": 21
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ct.zipcode()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 22,
       "text": [
        "'146101839'"
       ]
      }
     ],
     "prompt_number": 22
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ct.institute()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 23,
       "text": [
        "'HARRIS CORPORATION'"
       ]
      }
     ],
     "prompt_number": 23
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ct.obligation()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 24,
       "text": [
        "784000.0"
       ]
      }
     ],
     "prompt_number": 24
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ct.subagency()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 25,
       "text": [
        "'97ZS'"
       ]
      }
     ],
     "prompt_number": 25
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The DoD subagency codes are as follows:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Image(filename=(\"/home/user/workspace/research_funding/images/dod2.png\"))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "png": 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KAHJPnXigBsBYe3pZAQByTp/NVgMAW3Tl2D3TV4sQQsjTMrlmrFPruNO9vjHr\nwtVYukaPsuWWIFM4TZnXm2/z8Eavbaf2M15JOhCTKa942Bkr/WpRhR5saeGVHIRyjcC21rY2rq81\nnE7y7TLj73brii6cPXrhyddMaGnD1Trl+cWquhbLE1pbcQVSUSCvivb6igI5IAV4Elsxr/p1iFZd\n2aeLfSQ5TfbpuKxp49xhG9rNU3RL0ylcCgD55+LSNQDACK0Mt4flssplscqSMhVAt40JIeQZM/dz\nxo/i8cSGTPGkgR7da87kN3MbNcmq6HzGuQwFwizrTUSrY2FMOqm3y57dfWRNRTkX6qyc7EQ8PNoH\nXa8pl2sBAWDpZMkHuMozz9KJq8LqFaV1xvB6lpZ15mT2uFfd0Cyig9s+ZRdPACg8fTJNDQBgNXJD\nW7PEwZIPsAB4YltrisSEEPLs/U3HpmazbhRX3bds3t7BkgfG1rGDa+WkQlmetu5fPgW+NKJbv1df\nGPDqCy9ESp/gKkaVeTUDACBoN6KnS7UEBNZONgIAUGVceQAAsO34gq9h1Emxd4+uXN/q7PgUhQm9\n1tWZp07mAYB3t27de/gBQPGFo6mGzcaWZ2Zw3b7cu4U7CwCAsWsbFWD6ahFCCHlaAgAC15DIHk5C\nHiPx49p1YdOucx9xBQtd4ZnzV2o9T9PU5BlvDdxYfYJFUJddywPtAVQbxpIpvnNe4R4lAQCrnj1X\nizJl3t6hlZcWybEPcktLjUnHFHyH8IhIw6NNaWdOy0wN97r8uG2Xp3wUJoKgzdyVSwJ2HInPVlu5\ntezWt5dk87RZcSV6bc6x3denvttWAOmIBQuUGw8msr6DJoxyAQD21p5jD0wqCk368XOFY4Y7InDs\nJDAASi7FJlWtszLl6DVln64WgO+bC+fwf7+i9B8c3dnCxHUihBDSCAQA+K7BPYfWGJtaFNCuWwAA\npKddvpppzkG46sOWPvjuf9md33WzAABhYFffqln69BuL95c1fsX46bGFsSuWdlz2cX8XwLbN8Elt\nhlfOSTDc/tblxi77v7CVH0Y6wLbD2Hc6VP209MK3X8ZkmbhS6pSTZ2TDh0khEgFA+cVj9x8OEqov\nu7xx863O01rzwfPsEz2nDwBZUr7FI083EUIIaWp/02ZqAOyDQ7HjFl47lVHViwl6dUVCzNlJc68m\nmNKc+yzpCuK+mjH9822nbuVWcB3gVLKUi/vXrr9ROWyKJufgV9EzVu+9lF6iBQBdaWb8vnX/mfBF\n7RE/jKFKOXGmuPJDxeVD92oM2K2zgGEmAAAgAElEQVRO3/HBe2sOJ8q0AFS5l3csnLs5kR5aIoSQ\nZ4/XtmO4GRZb9QrFpP1LH/eiiGep8kUR/+JXKBJCCDELc/em9h/8/sbBz9f7jAkhhJBny0zBWK8t\nzy4q1lY2kj/mfcbPgOF9xoZP+qIyzXNRUyeEEPJvYaZmakIIIYRU+vt24CKEEEL+ISgYE0IIIWZG\nwZgQQggxMwrGhBBCiJlRMCaEEELMzEyPNolchywZ29mu6nPevvd+uWi254yD3/im/8PnjBV31s89\nQIN+EEIIeWYqgzFj4dY1ok/fVr5elkLo5FkZCUfPHjuZU2F6fOS7hs9YFOkMIPXI/31+o7SBFNRl\nhUqduqSivueMBZ5DXvlkiNTwqSzhq49OJKsrZ/Ismkd0GjkoKNBJxOdGd9ZpilLvHdx6+kSGWm9s\nOjqFLKvUWsyIHa0lpq0rIYQQ0gi4d+dJ/MaMmdTHoXIi38rdp/N4n5Y+u9dtTJY3aX015fiaL2/W\nPxymyLPDtKoIWovAtsuUVya1r/meIb7Qwb91V+8LJzLU1Sc/Lh19efIfHycDFkEfvDW2pYn5J4QQ\nQp6aAIDIv8tIQyTW5sXfy4Jz61AnEWDfo3+/Sz/vvqk011sXRE79p4a71T2Pce7Rf0JVJC7Pv5GQ\nW6QT2btJbVVlycUsD9AblQ4hhBBibgLAwrtva+49xoX7tq7dlacF//TQ195+yRGQtO3vdfjWPbme\nkfZ/bfZoJwDZv/647mgpC77byElvDbYFkL5u7Y8XFXoLz5e/fqVt9XZen77vre/L/Svbu+m73QWm\nvQFQ0Lx//6GuAAA9wKs5U+jce4CLofdZ3uXFX55PUdV3yfDYdAghhBCzE0BoHxggAgDIrpzl4qUu\n/9z17Jd6uQECX39n0T25Gd6rJ/IKmzqYq66XZShsvCxrzBU4ebe1NfxfjlZzV4Zxq6AtyT696/iO\nC7Kq0Pz4dEzLkv+M6IlhQgDsjV2Lvkmhtw0SQghpFAKIbVy4Xs2a4uxSw81btrywUAk3C8BKKpXw\nUo0JO6rcmIUbTgh4gmZtx85sbw8g69zP6xLLWAB6XWmpSW+CEDkPmNKJq83mHr6Q3rWPV61sOzar\n6opt3czq4XQ7t54TR7sKf1l5qlRnRDqEEEKI+TE8kYWYa7pVK9RVHal06srasNBKZFzLrl5TnifL\nzyrMy5FruCnq8oIHhflZhflZMlm51oQbz4LmA/oO4UJozqUfDhc/0r+LJ7K0EFb7rMy4f+5GcWW4\n57ca3slfbEw6hBBCyHOg2nPG5uqmVZvIu+O0QVzP56I/f7qcrnZ69Dv66plVJK5bfuSW0vLOnImT\nWvAAwNoz2Jmfym84HZPoii5eiMsVA3pNZpEZX/lICCHkH0agVytVXL8msURUNR4XX2RleL+vRq5+\ntt2eRC2HdXDh/i1V+wwZMIOxaF51o9fKe/iIsPPnEq4p1WzV8GF5GQ9UeuiV6YklaGEPALBwsrJo\n2a/hdC6kqYyvLutkly4eufS060cIIYTUIoCqLLcEvvaA0M7NlrmnYAEwVo6O3FNDcplMUSMY83jc\n/zxG1ERDaTLCyoRtXULa1ppnE9Szi2NZcnxCUQmaOzzy20qsltUbk84lU4IxIYQQ0iQYaIrv3ecG\nyHBs38VRAAACx4g23GO52pSkfDUAPVt5P9nK2ZIBwLNo5mNVV4LQ63WGNmSG32QjX2sLHzyoelCq\nmZenmAeeRfPAqk5d5elFjR9k+dLwiP6v9BjwSlTvrg5mGkeUEELIP5AAUKYdvV3esZ014DRszHTv\nxCzWObg9d39VkXA4vUIPQK/ILVahmRiw6d6jd9b1Yvd2/VrU3XatryiXc03IniGdO+Zde6DSQa8r\nLS0ysg+X+tryVW9UnyByfX3RqO7WAKoNY8koTyZoQ0IFACAJjJ4juFYqDavKUdadhCJlrjHpmILv\n0KlTpOHRpvTTZ4tMe2yaEEIIqYcAgOr+2R3HvCe8YA8IXdoFu1TOKzl9+PBNwwO76pTrN8sDO1gD\nYo/I8R4Aygu1Isc66od6efb1JNa3BQOmWeSbYyIBPNmgH4/FKhK2x91q/UJrEQBYePl1fpgBWczm\nhDzqYEUIIeTvggEAVnH/l1/Wbbia+IB7XwNbkZV+afPWNRuSyiors3pFxoHlx69nKPUAFLI7u3fv\nuFRRd5Js6ZW1e2IvZRcrmrR/tq7g9urP9v95vUhRFXf12pLkhE2Ld+xJ0TwvXcMJIYSQBvHadgw3\nw2KrXqGYcmjJ414U8SxVviiCXqFICCHk2TJ3PyTf/h/82P/5ep8xIYQQ8myZKRjrteU5xcXayt7W\nj3mf8TNgeJ+x4ZO+uEzzXNTUCSGE/FuYqZmaEEIIIZWa7ElgQgghhBiHgjEhhBBiZhSMCSGEEDOj\nYEwIIYSYGQVjQgghxMwoGBNCCCG1WXb49HDM4ZMxh/+c28ai6Rdn7kE/CCH/eIyVf49R4wb37NjK\nw04AViHLSLpy8Ncftl5tgper/Q0JPces/2GyN4B7K0bNOpBffaMIA978cc2YZgCQtmnqlN/SNQBg\n3X3pzi/aAIW7oyevuWPiG2+anlXXxTsWh1bV9NQlOam348/E7Nkblyo3pcRNSefvv49RzZgQ0pSE\nbgPm/fjTB+N6h3jYCQCAkUi9Q/qMifIQmTtrfy/eg4cE/C03mcjONTBiwKSFazctGe5jUffb/p4u\nnX/EPkbBmBDSdES+oxZ82N2R+1Ceein28KGjfyWVmDdTf1OOfUaFWD15LDMDfcbZmH2x524Zhjq2\nCZ/++ZSWT9Di+/h0/iH7GDVTE0KaCs+63YRRvgAANnHLrHd/vVOhBwChY9sXWsketh/y7UMGvDZh\naI9Qb3sRtCUZN+L2//LT/usyLQCIWs7YtmK4tOTk90dtR73UXlqW8Me365MjZs7s62spTzmw+tPl\nx3M0ELV6c9P3w6SA7tLn07cHTntnWLinRFeUdOr379dsvVFs5LIAWIUv2rewIx/I2/3h0oL+01/p\nEWDLlKWe3LRy5fY75dXTaTPwtfGDI0N9pCJAWZgcf+bPzb/GJJTojE1H0nb+5mV9rKptrxaztu+f\nxf374Nc3Jm5OrdkCbd19RJh9fFwdDa98xw79h/brGtExyMfZkgGgK89NvHZix5ZfY1MVrLHb0Kj1\nMkXJ1e1rvr6tgtBt4Efr5nWWAC7Dx7TfsvBcid6osjAmnUbZxwAAjE3LIW9Fj+4T5CxSZV/cvXbV\nrbrWqTG3Tw1UMyaENBWxb6+OlgAA2f6VOwxnSQCawuuHzmQZIo3Apd8H61a/PSzc214EAAI7r/ZD\npy/b8PEgT2G1tOyioke2d2TAswt5Zf438/r6WgKw8h00Y1JbSfVl8v3HfLVkdLinBADfwb9n9JKv\nXvetbK00clkAAIeu7y2d2jPAlgFg4xM147MZHW0q66VC9yEf/bBqxrBwHymXtIWjX8Swmau//6h/\ns9o1nMelY7zcK2ksxB1Gdnfm1zHXInDCO2MHhvlxkRgA39olqNvoj7/9fKhrtfw0uA1NWS8TaLJj\nN+7JAQCIW3f34V4EYEpZPCadxtrHRF4jlix7e1CQswiA2C189GcrxgeKUVMTbR8AFIwJIU2G7+Dr\nZwMAUN46k1z3a0n5Lr3fe7+7FADK4reuWrTw262XSgHArvPMjwa6VTvD6e9ueH/WT7e5uk7m9o/f\nWX1ZBcAqMMS5xslb2sLm7v61Xy7/34FUHQDw/MZN6WzPmLQsABA2s767d9UX3/zylxwAYBM5LJAL\nWQKPQfPmdrEDIL++bdF/Z0bP+e9XOxIUAOwi586McmSMS0d5d/XMqeOjp01ZsCuX+2r65tlvThsf\nPW189NT/7MnSVE9FduH380rwgkb18qgrVOnVhamndq1d+OFbr00cM3LS2wt3J7MAhG1fG+JT7b7p\n47ehaetlEnXujftcYLTx8rRiTC2Lx6TTOPsYzyZs4vhgbql5Zzev/e5/R5Js/J1rptOE2wfUTE0I\naTJ8K6mhEbYkp7R20yNH4NrrxbZCACjcvfDTdTcVepw4myzctGKkC5jWw3t7xGzJNnw1769LtxK0\nl7ImB3mi9Pr56zcLPDIQFgAbVxs+8LA9UhO/4sM1RwtZxF5T+254O4gHcUjvQItTF9UNLyutegC8\nu+bT7w/kssJEp56bXvcAxG4etvzLFTqh54DhrRgA6gtffflTXKkewJ276eLQLbP9IW4/uIPd8SPV\nm5LrS0evkmWlywAhW2QIIqrCjPS0/Lq7/5Zd3XWsqOsg78GD/Xdtrj2z4vLHky6oNFytkGH4JXF/\nbL/94vvBQLM2LWyZ+6XGbEOhq2nrZRJduawCEAGQOFjyUdLMtLKoL51CXqPsY2kC3z7tuJvQaT/M\nX7QlXQ3mbK504/ywalcyppa7iSgYE0LMR+wVxr1LvPRybJKCCybKlJNnZSNfkgJuob6SXyqDsVal\n1eu1Si0AaJRatvJ/kaRmVTHphOFxFp3syqkMBDUHxO7etvyLZQ0vK03z8K3qssTkIhaAriy/jJsi\ntBDwAJ6lT6gbAEDU+fNth2qvEdMsQCo4UqRuMB0T6SsS9+zPGfSaa99RrXfG1ZrJE3p0HfvakKiw\nlp72tSrO1o5WfFQG48dtQ1PX64np9UaVe93BuFY6xjBiWRliTy8upuecPputBgC26MqxewgLrkqm\nqbcPNVMTQpqITi7jWmZh52pb54U/T2htxc2oKJBX9YDRVxRwv+NJbMUNhi2egKn+HVZerDRUT1hF\nYQX3n9BKzJi6LK26sqLF1jjrM2I7y8flR2QpMiodk2kyDuy5D1hHjQizr7EEceDY5T/NG9c75JFI\nDIAvNKLKxRMwPFPXyzR8a0dD6ooihe7Jy71mOo21jzFCK8PtYbms8jussqRMVS2dpt0+VDMmhDQZ\nXXFqcjn8rAGL1l39LK4kPHJLT68pl2sBAWDpZMkHuMoQz9KJq6boFaUqUwMYYy2VMJCzABhLR0MT\npkauYhtrWay63LAeRQc/+M/m5NoVOLaiuImG4dBmn9p5dcr77cNGdM+rNlkSPHaEHw8AtHe3L162\n92pqoVxr23vVb+8H15NQnZp0vUQubfy5Ft+ytEw5q+c/YVnUSgdAo+xjLOSGuCtxsDTc9OCJba2r\nd+Bq6nKnmjEhpKkok09c4uqm0iHvjmxlWVlzEEjb9O3qLgKgyrjyAABg2/EFX8OTo2LvHl2lAIDs\n+BSFybXJgF5hTgwACJw79vQCAKiy0kp1jbUsvTz1OtfhyqF1oKgkLz//4V+hXGRvwepMy7Oe1Rp+\nwAgef0ZmZRe2nleA1zzc5eFExtLZjetYxiZs/v1UYn65mtWLPdt6mJSJJlivh4RuvScMcwUAqG6e\nTlU9abk/mk4j7WNseWYGV1F27xbuzI0bYtc2KuAZbR8uw0/zY0IIeQx9efzG7am9xvsATOBr3/7R\n7eL5RJnewT8svAX/0JxTZ7OgzTm2+/rUd9sKIB2xYIFy48FE1nfQhFEuAMDe2nPsgcbkGgO/zexl\ncxx33OGHvvRaIABAnXAsUQmwDS/LKJr0mJiUsRN9geZTli5x3rb/XIpMK7R1828X2btvR9X6ce/s\nqjAlwzp5QTELMIDvwBHd7h9Ol2v1ek1xTnapuvbZXV8Wv+uYLHKwtNo0VpGfo0ArCcAE9O/S/K+j\nmTy3btHvDrA3JQ9NsV6AXftRb86tsPcP7RLsxAXJ3D1b40v1MKbcjUqnkfYxaFOOXlP26WoB+L65\ncA7/9ytK/8HRnWuOT9L426cGCsaEkKajTtm+4Cu/5fMipQCsfcP7+BpmVA6QpMuNXfZ/YSs/jHSA\nbYex73So+mXphW+/jMnScj1nTSFLLPDuPXFO78rP+qQt688Xs0Ytyzia9F1frgj+ZlYnG9gED5sa\nPKz6zFQTswvoy28dva0LDeaD8R/z3xVjANQ96AcAKO/t+TN78Hi3apMqbm39M7Pny56AdffZPx6c\nbfgiYOpYV428XgDPq+sgr4cfyy6um78+kWvrNaksHpMOGmUfg77s8sbNtzpPa80Hz7NP9Jw+AGRJ\n+RY1nm5q9O1TAzVTE0KakiYrZvGUKUt/PXY7q4wFAFYhS7t6YMvxTEOk0eQc/Cp6xuq9l9JLtACg\nK82M37fuPxO+OJBpZFW1Bt39bf9977dLWSoAGlli7Jr3521OqQxqjbUsdfquhZPf/OaPk7ezywz9\nfbRluffOH9y8ZO3pAlPHYtLlxSz+9KdTd3IrjHgwRpMRs+d+zUnK2xvnzvrx6M1cJQCw5Wl/bf9s\n7qobJuYCaOz1QlUK9y8e3LDgrQkf7ElVVlX2TS6LetJB4+xj6vQdH7y35nCiTAtAlXt5x8K5mxOr\nd+Bqsu1jwGvbMfypEiCEEPN7OBzmxU9HvXdRbu78EGIaqhkTQgghZkbBmBBCCDEzCsaEEEKImdE9\nY0IIIcTMqGZMCCGEmBkFY0IIIcTMKBgTQgghZkbBmBBCCDEzGg6T/LvxpZ1Gz5g6sFMrJ8PYgWVH\n5476+sYjr375J+fHssOnu7/sJjb7uv9N8SzbRP9v1fBmSPrfa7O3ZzzJqGHPE77LsCUb5gbzZQfn\njf/uSpkRY4KRRlEZjHki94gx0a8O6tpCKoJalnz54NYfN57OUD7d+zdJE7DqunjH4tCqJg11SU7q\n7fgzMXv2xqXKm+jAEXqOWf/DZG8A91aMmnUgvymPz2e5LIBx6DJn0evhpo5+XKnRy+Ip88Ozi/p6\n77yQumfeXfbSnMOyRt+eolazN3z7ogMAoDx21vglVxVPkkxjlfuz3X8AQOQ/et7wZkDpofUHq43j\naPS+wVi36P361Jd6tvd1EENTnHbt+N5NPx+8U8Ian44p5d5geelyj6zfP3H5MMcBcyYcnrrq9t/g\n2oxvHzJ8/PiXuoU0txUAitw7F2L+2PDLuSzDezZ4tr3+b/uCel4nWbj3nTFr76oBcdCsbcsHOdT9\npd3Rk9fcUTPWfpFD+kRGtG/t6+psb8GDpjj9zl9Hdv/2+7lGiJVcMBa6D/h0/cxOlW9OFkn9uoz9\nb1jw/2b8Z1daE72ZkzQSkZ1rYMSAwIgBoy6umzt/bypdP5lC5B3Rmot8KdvmLzqeo9LrdeU5tQek\nNTq1py6Lxs3PsyByjwivOoFZh/ZoLrp69990zmCc+77xsieAB3t+TSivv8Dr2TcY27A3Viwf7ln5\nNaG9d8eX3unYtcUn0d+dL6rjSuJp9zFjyktxb+fWlGEzfJuNeqPfjv/szX66IZebGmMf8d6qzwY6\nVk2QuLTqOXF+19B1b763J6NR90WRz7B33uxv93CC0L55mz5T2vTuveM/M9bfeEzxG0MAgLHv8s4b\nXCQuv75/11+6NiOHhdpB1G7SO71Pvx/zDK4tyZPQZ5w9GK+w9w+NaO3IA2zCp38+5e601Xf+Bley\nzw3Gwo57fXjxjQvxiWlPHPUaqywaKz9Q3zv0x181Bq7XZN83/dXADRI4d+jqDgCsFowAjp3D3UV3\n63jX0D+VyGfo620EAO7vO1pPA/Xj9g1Jq/H/NURideqFuLt6/6gIXwvAZcDc6FOTllypfno3ah9r\nqNyNKy9tzrHdCW/NDuG1GjPK/+B3ic9zeYoCX3mHi8S5x9cs25OgcOkxfe6YEJEodPL07qfmx8pY\n6JXJBzduul7tnizPqsWAF7vYA1Dfu5Fb+21dhae2Hk6vvs5syY08wzbVaWW3446fung7vUAp9gof\n8cawYAl4PiNnDj/01i9Pd4tCADD2HYZFWABAaewXH66+Uq63uMLfsGqwFMK2L3V2Ovxn3vN9YfSv\nVXJ1+5qvb6sgdBv40bp5nSWAy/Ax7bcsPFeifzho/qXPp28PnPbOsHBPia4o6dTv36/ZeqP4YZOV\nz8SNa8e6A7i99LW1wpGTR/dr527F08lzrmxasHBrXqv5m5f1saq2zBaztu+fxf3LveINLWdsWzFc\nWnLy+6O2o15qLy1L+OPb9ckRM2f29bWUpxxY/eny4zkawCp80b6FHflA3u4Plxb0n/5KjwBbpiz1\n5KaVK7ffKWcBSNo2uCwTTgl8+5ABr00Y2iPU214EbUnGjbj9v/y0/7qs8rCzDPtszxcR1VqD7Yct\n38e9EO2J7ps+piwM+Wkz8LXxgyNDfaQiQFmYHH/mz82/xiSU6JomPyi+vmfDpvv1bDHGpuWQt6JH\n9wlyFqmyL+5eu+qWiak/TMkuNNIHANJ2btOMGhcAjy4dnH9NfVDzlMFIvKNGjR3Vs1OQuzUfquLs\n5KtxMdt3H0ko1hlT7lrnQas3zWoNIOfXSW9sSObOeAKPMat+ftMbQOraKW9tLWrdYDr84Fm/LRvk\nACBp7avv7sriMslI+yz6ZX47PqA8tWDc/AtlplyxiAMG9nMDgNRDl/LrOU8+Zt+wbvNSXycAQOZv\ns6Ztuq+G6LdXV28Y7w3Y9R4Ruu7q6WK9Mek8XNhjy93Y8gJY2ZUjdxASBKe+Q1r+uPzGE915eCaE\nbp07OwOAIm7Z6t0X5cDdtCWuXTdPag5R2LBQ++PHZCzUaUd/WV/tR4zDC/83EgBQemLrleJa1U02\n48imTefretOIOuXXmcO+zau6PXDp6o3i5r99GsoHvMI8xU8ZjBlA1LyjHwMA6oSTd8v1AJT3T8Vz\nWfHp6GPqKzHJs6bJjt24JwcAIG7d3UdcfR7ff8xXS0aHe0oA8B38e0Yv+ep137ruSLoNWbR89kuh\n7lY8AHwr15be1qb0tLeLih7Z3pEBzy7klfnfzOvrawnAynfQjEltJTW+6ND1vaVTewbYMgBsfKJm\nfDajow3PlLU1gsCl3wfrVr89LNzbXgQAAjuv9kOnL9vw8SBPYSMvqrY6y0LoPuSjH1bNGBbuI+U2\nvYWjX8Swmau//6h/MzP0oBR5jViy7O1BQc4iAGK38NGfrRgfKG7wZ3Xh2QT3agEAuX+djruQBQA+\n3dva19hz+NKuc1b9sGBsrxB3az4AiO3dgnqNnvNmO2sjC56VXT58DwDgGtHBkc9NZOxCorwBAOnH\nzuYb9SZiReK+A7kAAP+BPVwMW56x7zA0hA8AZad33jApEgNCr6hwKQDk/xXfYB4e3TdEHl2CuMMj\n/UAsd62pTj92gHs/oiiwq3edpfK4470BxpQXhy25dfYBANiFRdV5wnhe8G1crQEApQ8KK1+XWPyA\ne5Ex4xvqVlfeBW5RozoKASDn4K6bFcYvjJXn5dW44c9q5AruQkZVqjD6ddj1EICxdHfn1qY4VQbn\n4O4h/LsXi9IKACtA7OJpz78op6rx802de+O+eoyrCLDx8rRirlWrRklb2Nzdv3b7XX77EVMG+fDB\n8xs3pfOeT07Vvhq0b90cJQmxB8/cK9BI3EMi2qj1gPLu6plTNwl4QrdBixa85AIgffPsxXGFLAC9\npjhHA1RGN/3dDR+sZSctnxzEAJnbP16S+9KyGWFiq8AQZ+Hl9IcXjMJm1rf3rtqR5DDgjXEdrQCb\nyGGB3128XGHMsozDd+n93vvdpQBQFr9144G7rN+giWM62cKu88yPBl59Z2+2FlDeXDk5ej0DSei7\nK+a0ZoDyE0s/+ClJDTztPdpHyoLxGDRvbhc7APLr21ZuPZOmtPbtNvbdkSESu8i5M6P++iS2kG38\n/NiHjpg6qfDh6UFXeHHP3vgSFjybsInjg7lIlHd2847LioBBk/r6P9nKWgZEhQgAVNy8nJKqul4y\nzt2OF/hCK5uDZypra4xjz1kfDnUHAJQl7N1+5FqO2tItsEufXhLuG8aUu67gwrFktPADfKKC7Xbm\nyFjwbFpFtQAAZJ48l60BtEako0mL+TN13BQfwGdQd/cd29I1YBw6DGzLBwDZiX2mnJcBgLFrEdoM\nAHSZN43ZQWvvG5pmflIAgCbrXpGhrHSlqRkKBEgAGy+PmsdyvelUu29cb7kDMKa8qmjybqep4CGG\nNKSVPf/Wc9s8yqrKuRjs2NrflkkqZAGxZxs3bqadRzML3s3at9WF3oNfDAAA3N9+sI5OUYxX/0mT\ngh9O1yuTDv8Rm1VHcwPfudvLHUUAIL90MOlpu3YIwFjYGiq/SoXTsKULJvkh69cFewwJi23EDPC8\nFgQx0JXLKgARAImDJR+FD+do4ld8uOZoIYvYa2rfDW8H8SAO6R1ocepi7fNO4d6Po7+5XModtX9s\nE4oFWuj1sqx0GSBkiwznBFVhRnpaXb0I8v66dCtBeylrcpAnSq+fv36zwCMDYQGwcbXhA9VOVHfX\nfPr9gVxWmOjUc9PrHoDYzcOWf7lCp1cZvazHErj2erGtEAAKdy/8dN1NhR4nziYLN60Y6QKm9fDe\nHjFb0jRglYUZ6YWApVsFCzCAtjQnPS29MXpK1SqLUo8Bw1sxANQXvvryp7hSPYA7d9PFoVtm+0Pc\nfnAHu+NHithGz4/Iv8/oGhH2gerE/vgSFha+fdpxB3zaD/MXbUlXgzmbK904P+wJqj8Wvt3bSACw\n98+kqFS6c7c1AyKEwpCoAMmZy9z+xXeOfLWTGAB0CStnfbAzi9sTYvdu3+woUegBGFXuuryLsanR\nfj5gWnUPtIo9XwaLgMggIQBkHz+brTE2He2Dk7sSJs0OYeDdr6fnzk0pOofwAcEMAOTExJh8NhVI\nfbhG5pIHMqN+W3PfYJQ2Eq5xQFmqrMqnTlGiBCQALOzF9bRO1T7eHwbfessdMKa8qi+jKKMYcAGk\n/k4CPLfBWJN9OVH5ipMFBO0++OJ9r8N3FC4RLw93MswVWYt5QM1gbBk8YogLAGiubo995H4xADh2\ne/mV6p/V527sejQY8yQtxn00u5MQgPz0mnWXTGxVeVSNwmZLUxKydGzurbu1603kb0Nfc5dIOnGV\n65Opk105lQEAELt72/Jr/ywrZuf10oelrteoNCbtW1qVVq/XKrUAoFFq2cr/RZKaLcOyxOQiFoCu\nLL+MmyK0EDRmO7XYK4zrEEhoZJMAACAASURBVFN6OTbJ0HNFmXLyrAwA4BbqK2nsVvH66fXgWfqE\ncpfpos6fbzt0MubwyZjDJ/dvmc2dMZlmAdJn2lLNWHt6cTdWc06fzVYDAFt05di9J0lL6Nm9vT0A\nZFy4U87q5ffPpAKAZZvufpVtp2LPDlxbsvbaztjsatdkuvLCchPO79r8C0cyAEAUFOlnAYi8I9ta\nAUDuqRMPTOhLwBae235FDQDufft5ihiHjkNaMwCQfuBgpsndlPiVFRmV3OSO8zWO06c4jeuN/60R\n5VUNq5RzVzUSO8lzPDaUvvzK5t8SWQAQ+Lww/o23ood3kFbNZXiodbgz9p1HRtkBQHncjot19Vc3\nCk/i9/InX09pyQfUCRvnfXm84OmvVgRglaWGK0kLK9WVr6cM/BoQer06mZumKlNRXH7+8a0dDc+l\nKYoUumpjubDy4sprblZRaLj6FVo92txRmlPSJNe+PAFT42jQqisvRdkmeQaLJ7S24ta+ouDh7RV9\nRYEckAI8ie2jl8qNq2ZZMGI7y8d9W2QpapKLg7wdb437sY6OPIzQynDilcsqtw+rLClTAabeNha6\ndOzSDADgPe2XfdMezrDv2M1DlJCsBiC0tOFq3PL8YtXTbHVN9um4rGnj3GEb2s1TdEvTyXCv9lxc\nukmdZtiSi7vPlHfsZQ2XPn389mcMDOYBwJ0/jz8wvfONXqc1dAITPHJ1W6ea+warKVPoAR4gsbWo\nind8iV1lU2VxfSff2sf7Q/WVO4wrr2p4fAGXJ51G91w/LqlO3TZ7Vmn0lJd7t3O3gr4849Le7Vfa\nzpoewoP+4enPgO8cNYZrWC448ns9zyKx8Z8M+bDODlwGPInfy5+smBFqASjjf/7Ph38kVjTGFhKA\nrcjKKkdLa8Dex1GIZDUAgdSbq+ercjOLn9f2CVJF5NLGnzvnlaVl1uhgwFhLJQzkLADG0tHQ11Qj\nf/Qg1+tMuMR+juk15XItIAAsnSyrGsh5lk7cuusVpU8VExpWqyxYi3LDtW7RwQ/+szm59hmfrSh+\nps+NsBq5oUFV4mDJB1gAPLGttekduBhpaHfvumc169ax2frkTC2gqSjnwryVk52Ih6d4CF6TdeZk\n9rhX3dAsooPbPmUXTwAoPH3S1IEQ9PKE3UdkvV6SotkLY8cVt+YB0F3feba+vtCPoyvLKQXsABtn\na2Oice3jlM1LliHUERC6tXAQXKzQAuDbeHtxnbrKMh7UM3LMI8e7MddzRpVX9e9bO9twy8gpec4r\nZGz5vf1fz9v/deVnUasZ23gAUHA/u+bjfCLv/i+1AgCk7N1Xf6fzx+FJAsYs+GZ6WzFQdm713AX7\nG21oBwZQp/+VzAKAKLhHSyseAIuA7qHcuSv1rzR6avV5J3TrPWGYKwBAdfN0as2bVwG9wpwYABA4\nd+zpxX0pK63UtDOPntVW9scRNHWL1dMuS5Vx5QEAwLbjC76GKobYu0dXrukqOz6lCR62feiRstDL\nU69zPXgdWgeKSvLy8x/+FcpF9hbss612sOWZGdw1v3u3cGcBADB2baMCTE6IsWvTnWtqz9i5eumX\ny5Z+uWzpl6t2pwEAvLu1c2QAQJV5lbs3Img3oqdLtQZ5gbWTTY32+QbLXZ156mQel3i37j38AKD4\nwtHU2vdqG95/VEl7D2UBgH3EIB8AUF/ZfeGJRibTFN7jlm/p6W3XYDR+9DhVPzh/m3toyHvAC81F\nACDy7DmIKwx14rm6nzN/7PFeL+PKq9r3rTx87AFAm3mr4Dkf4ZPhV8883znq1f5SACj961zNQT8k\nLUcOdAcA3fVtx7KeoPczz7Ll2M9XTG8rBgqO/t/bn/zZmIMsCQC2+Mre88q2XS1g1+fjxcqdf7Ft\nRg2WAoD2xp6LjdAUTpqGXftRb86tsPcP7RLsxF0a5+7ZGl9ac+fgt5m9bI7jjjv80JdeCwQAqBOO\nJZp4haWTFxRz/Yp8B47odv9wulyr12uKc7JLG79W95hlGbXba3OO7b4+9d22AkhHLFig3HgwkfUd\nNGGUCwCwt/Yce4LWSCPUXxaa9JiYlLETfYHmU5Yucd62/1yKTCu0dfNvF9m7b0fV+nHv7DKxD69R\naveqBbTZJ7YeSqpQphy9puzT1QLwfXPhHP7vV5T+g6M7m/wAI8+q5QutGAB4cGz3oaNphmd/b0uH\nvvimN+DfM9g2JreY1eXHbbs85aMwEQRt5q5cErDjSHy22sqtZbe+vSSbp82Ke9iJt+Fy16QfP1c4\nZrgjAsdOAgOg5FJs0iN7shH7jzr9yJ77r75ZeQEiP70n/pHOxMZRJJ26x3YPYeAV5me5J6eszi89\n5jgtv7HnqCxyqBRoPnbl9/5xiaxfVBcfAEDpiV1Xa+bKqOO9vnJXGFdeD38mbh7RHACQciZR/nw3\nmtl0XfztaPmpuKspOWV819B+L7/YxgIAUndurTEiCmPf/uW+9gBQce6PM09w+SVwHTr/6zeCRQDU\n9+L/n70zj4s5/+P4a75zNV0zlU50S7pUojaR+1piCS3Wfa6fFfawi13sYlksu649rCOsVkKWcuRq\nXVGiFCmdOtRM9zXn749vx0xKMzWU3e/z4fHQfL+f7+f+fN6f8/3mW4yaOav+nSjn2l/n0tokmhkA\npMW3f/71vtsnHhxo9xw9vWed7wkHf7rUYQ/RUYDW1XtU14afZdH71ux/RcwKkgstBs9cPrjutyz1\nyP47qp7Pk5UnXk6SuDrSQdgEfLUjAEC90g9185qwlJP8kvzIrT/02vmljx503acsca9/UXr3pw3h\nrRkOK8FrykKUeWrDDscfA3vrQMfRb66jn/x36W8kNmjiVC3wNOv0xdRKaVnMoaBEz3kOdNC6DFmw\nfAgAQWqBho2hSv5rWPV3YQFAcfzDhls94oK4OD4sDEC3H2SneSW6HFJ+5I4tHltXDzcGdJ3HznIe\nW+c2QXFtVYlyF6ZdvykY66cPFgsAyqOvpLyqjEKZ+iPOvxGSsGClEwEAJTdOJbZWj6G06P6FBImT\nC53pNNhG81Zck8Oq17XTysTDG8/22jrGDGBbew61rnP08tK2vQ8axUqp9t5cucuULK862Jb93bQA\nIPFCdGEHX6UGjWPS3XNi90Hyz8rubtsQki4/8qZ36u/vyQYA/sXQh6WtKHI6z8ai9tIBq9uQyd0U\nXiZmnj3fNmFMTu9FORFr53x75HoKvwYAREVpd459v+jTUEoxdcdHXJafEh1xcO3HM7448+qaiSQl\n+KvP/ryXUwNAJEiO3PP5yqA01UtV8jJ80zd/RD3Jr3zz7bLtYYnyIr5fsHh32L3MEjEASEqz487u\n+3TGd+ez3+x6WzNlIcw8tW72oh9PXE/KLZPUu3x2JyJo895/3v7SkzDz5Bef7bmYLBADqMmPOblu\nRVCyird6WBbe7joAIEq+J99LCDPvkQuv7J4+1uTWp6TwxveLF34bHJVYV6I1grToc3v3xytOuJQo\n95q0azeL635Uxlx41pRiKGXqj7TobngiGXrBlXNPWq9fSiq4G3y1DIC29yin12qvaaZuSEvu7fvf\ngh2n7qYXiwBAXJIZG7Y7cO7O283M3F7f3ptDhfICAGjYD/fRB1B95892qKEqUpN5KTwmlU8e1ZJV\nvkyOCt2+aO7aMMXj8czOwyb2oAFA9rnQlI64+0pz8ejT3nGgUDsN6jCjv/H/LPo1BwMpKP570Lh9\nVx3e2JcDvDi4cMGBNk06mOb+O4Pm2EL8aNPMzyP4HX0WqQwEz2fDga+9NZB5bMGc1gzeKVpDB75A\nRkFBQaFO6FqGZl272vQa/b9P+3IASJNOnlf9erEiosxzPwfnAwyXGX7WHVlxpNKwuo6Y4a0B8M9v\nP/UfsvnR7rSDalwKCgqKdoBuNGr9wf9Z1v/OOfl7pBpOxVQ9Obhua4VvV1ZFJz1GSpM6nd4l6DrG\nNTePBkfl3Q592EajgBSqQAljCgqK/xzC/LjTv2//LVEtF91klWkXD6WpwaMOgYQffepgdHvH4j8I\ntWdMQUFBQUHRzlB7xhQUFBQUFO0MJYwpKCgoKCjaGUoYU1BQUFBQtDOUMKageMegcQftJk0xHpxl\nw2zZPQUFRceHOk1N8e+Frt978uK5I3vbd6rVvVx2eYX/tviOqH2H4t8NTdN5wa+7xhoh9ddpy0Ky\nOrLlBbqx3+aDKxzpgoiV03+OLfs3aDF5N2AAAF3fbfiYQe49ezo5WHAJAOCfXjB7zxPqvjfF20PL\ne9PJTa71SzXCkrz0pLib4WfCbqQ3Y0muBQi995Zv/KhPW/UwEFo2/f2nvj/Aw74zlwFplSArNTbi\n2G/HH7TaMDlFa2HZLzv40zg9AEB5ZOD0zQ9ar8nyrcKymbxyrBFQemF/hJxOVnXXeWXqaot5KMm/\ntP/czO1+BiOWz7g4d1fSOzB2pfOcxk6f/kFfJ3NdBlCV/+Ru+ImDR2/n1NoGoekO/CFkrWPT3/LD\nlgTsfdog616XP43Kq7FPoYEzdj5tvdRkAADLYuzcqQM5LbmloHh7sLgmdl4j7LxG+EfvW7EmrBWm\nylgWXg6kJE4LXrPxal6NTCYpz1NNCTPTdMRn27/sZ1D/gODoWzgNCfA9H/qgqL16KVnlw92rv+Yy\nIKvIyu3oioPVCcvMq49e3Q9t1/7mrAdt6PveHoTh0PkTuwB4ceZYwmv0aLStzitXV5XJw6pnocfT\n/BZbGfnPH3by07AOXscIntdnu9aPbEg3x9h+wMw13q77Fn12JkvV+tGOdaxumVoGYWFKXJLAvF8f\nk7cTMgVF08iybkXEVfFsXL0cDGiATp+F3855Om/3E1VlH6HBZQMAiuPvxiU3bRv29bCs/NfW927l\n6ffuJgtk+ra9PWxe/9kbR8RPjOG3cxzaAYahu7cZAEjFIBgw8Oxjxnr6DuhrZFmO+ciZASDl7OVm\nFqjbXueVrKvK5aE478rphI+XOdHsA/xtIn5O7sh5zLKbtISUxPlX92w9k1Bl3H/higAnFst19sJ+\nUWsiBVLIqp9HHDr8SG5PlqbVbcS493gAhM/i5XWmvT5/RJkXDx9Okj+mwejk8cGobiwAEGWnFrdp\n2MIAgOrH26a/v65CJOO4rfXoY0JNkSnak5IHIXu2JdWAaTpy1b6VnhzAeGyA25F1t2vNu9J5ziOn\nTX/fx9VSnwVU85/H3fw76Fh4QkltS9Dstf7Md15yq9M8v+1nScOFKu0Z07R7zvC3AgBIk48ELj32\npFIGAEwDl0H2cjZ16DynEdNmjOnvasFjQVySFX/j3NE/zj0SiAGA1X1x8I6x+iXXf7ms6/+Bm35Z\nwomf9j/3+uSToVaaFWnnd3+z/WoeTQk3IgBM20W/7wkwkoti/p+z5x1IVezfCU3rIR9O9/d1tzPU\noEFaU1qYlZoQHRl0IPKFUHk3dAP34WOGeXt59LA01CQASMrzkx9eO3nkWGR6VX3aWZYzD+2dYgYg\nacu0vcwJsycP62mmRZNU5MUeXrvujPbHf24dpQcgde+HS0/lkOVD6A/ZeHRNTzpQHbV26pq7ZcpO\n/wiuq48lAGSEBov8p9qi83vuhsfSX8h1gAyD3tM+njfBy1KXVpZ2O3TfOY2lGyabAUjaPG5FZFFd\nSATHwtd/iv+A3j3MtOmoKc59/uBGeMjpSwnFEo5joDrjDABs25HDTAEg/cK9gmZ667bWeWXrqhJ5\nSHoiiL30BE490Gno6O6/b4/vuLsBTFNPT0MAqLqxdffp6ArgacZmE++gWeZg9fJz5V29IpBCmHH5\n6H65jwi9QT9MAACUXjseW6x0/gizrx6T94dp6rfVn+xpqm7/tCU8v03CmAAAmbCsQkQpIaXoWIhy\nIw+dyQMAsB36WZKzXKbZ6FW/7Vrs18dSn2wEGgbWXn6f7P5l1XAjNZ9GZFsN9NAEAAjO7TxZ27sB\nEPEfXbiZUyu0GMbDvti3+39+fSx4LABgcLu6jVm49eDqUV3kB9Bc3wUT3AwI0LhOk9b8uHKolSYA\nLatRi2e5cFRx0yJMyw+/37PK37u7oQYNAAi2rpGt26Apwy1ZKrnRsJuxZMrIXtakJAZA1zbu0Xfy\n6p++HWPSVD6bjt64fdkHrmZaNAB0LZPuFtpEVfLZ8/kAAJuR/Y1rvyJ47mOc6ABQ9k9ovApSjabj\nOLAbAOTf/+fG3RwAsOznwmvYwCN0XD/ZtmGWt6UuAdB0rLxnbF490vQVf+j63st3/bZ2ykAnM206\nALB5pj0GTl6+qKc2DVBvnAGA2dW3jz4AFNyPK2hJb3Vr67xSdVWJPKxHWpJ46wUAcHv5WnVk8xd0\nHRNtAEDpC35tOkXFL0oAAISVq2lTcWeY+vp7MAEgL+LUYzkj1MrnDwAwLSau/NiVCQCCy5u+v9Lc\nSEtZqKtNFB0XYX58CtnAdLp20SIARudRK1e8xwVQ8Sh441efLFj+1fcnE6oAcH1WfOJrQABA9eOd\nsxfMm77gk+2J5JC3/NqWxdMXzJu+YO7CA0+VXq2m61lZ6wAAqhNvPm96Nk03HvzZ5/30AaAs7viu\njet+On6vFAC4np+sGmkqJ7VkTw9+HvhHEhmh7JDVS3bH1ADQsnMyZCrrRpz558q50xfMm/Hp7ynN\nRJptO9a/GwGgMubXpXMmjZ4UMGXJV98fuRzzsmG0rYwbQCbkp0ed2rvuy4+nzQyYMOt/604/lwJg\nukwbbdlEB8dzMGeUJEQG/7Jv965Dp649fSmUAaKM8L/TAQCWo/qZMQGA0HMf6UIHAMG1s/L9YIto\n2vo6MQBUPo5JS499VAKAZjfIvt6IMMt8zJKxxgCA0phjP2/Z9ldsKUe3sYlhwmBA4JdjzAAAZQlh\nB378dtPmbQdP3courk28WuMMgOB2czUCAEn24zwlDlG3qs4rU1eBlvNQDtHLJHJnR9/JnkdXJcVv\nF2lNOZldBg42uqQ4Y3dxrh2DcTsbabyaNqbF++NsAQApIREK5jNVyB9odA9YvcCOAIDcU9/su1vc\n5vOc1NUmig6MpFxQCbAAcPQ06SjtPGKsPQFAePf7DX/cKJUBePI0k+16ZJkN2G7vu3OvXiqSSqv5\nWZl8QNO0UgoQgLg0LzMjU9U9Y7qWvhb5V0leadMzGobJwHEuTADgn173zb7HVTJcu/WceXjHBGMQ\nDmMHdw4/klvr9OX9e4kJ4ns5s3t0QemjO48eF3bOQi9b6Jjo0CFWwg1EkAmLczOLARrXprn+ls7h\nkpEWV5UWFZWWVUnLygQvUu6Hq+gGlTGrZ92tqRVQBEEvuXEiJGnc546AkXM3XSKlsHHXww9bveDH\nmFLy8YlgJpshBmQvrp9KmLXMiYDFsAFdQg+nSfT6jHAkACAvPDxVlSLRsOrnzAEgTbmZVlMjuZ0k\nGuHFZDr52nJuxlQCYJr0H9SVjMmZb9f/klAF2q1M3QM7R+jJ+0I39PmwNxsAJAk7A78IzSHFY2RY\nSJABhzQaIVZfnAGAoW/ZCQBQ8kKg1LetqfNK1FWg5TxUjEdRVjFgDOjbdGJADcat3gyi3Jjk6kmd\nNMDo+cV3n3e9+KTK2Gvi2E61b1nabBqguJSh6Th+tDEAiB6ERCrY2FI+f2iajjPXTrEAAFnq/u/+\neFShhpVlShhTvBvIZKBpWrqSQ16W57fBFxq7IIxs9RmXit7iYRN2115dAAClMZGptfZ/qtOu3xJM\n+EAfMHW14hytE8biGrFMJq4WA4CoWiyt+5vFYaJOGL/WjXJUZ9yKF/l4MKHr8+lhn3lpcbGxcTG3\noqJicxo2epVxAxqzs/eUaaN9e3XvwmsUuraBFh2NhXFOeOij0oZnMlGNCACk/NshsYudPFgwGzqs\ny/HfSj1GOxAAkHk+QiVDwswu/dx4AJB190m5VCZNuZkOr27QdO5nzY5JqAGYpk7ktLgs9nJKFQDI\nKp9ejSkfMURbzht2F3cLAID4YWhkrtxEVVLOL6/9U21xBgDQNXTJS+41FSpfCFC6zivnXYt5qIC0\nuoIc8nG4nA68gCorjw36M9lrlh0BhuWg6fMHKbwlaGg0qyV4nhN8uQBQfuNktML1RKXzh9Bx//jL\n8WYAIIzb8+2fz1txOLQJOnAuU1DQtQ3InTBUFVVJCDZX83WuWZqsptaTWomkQlBB/sU10W1y0Epj\namuRLyoLK+pnDrLKQvI7GkeX3WJ8aAxCLW5qkfKvblh3/EEx+Ytr5TpwwsxPt+3/a/cMZ11CeTds\nuynb/1g5dbDTK5IYAJ3ZRG6U5pU0OXeSlkSfvlkOAMZDhlib9R7pSAOAJ39ffaGK4gumscd75Mk1\ni3lHz168fu7oim4AAJ5H384sADSmVm1ZVBTUl4WchK3zR1OHVeuquKY52aimOJPIJOLaQ2AM5RZ7\nW1PnW66rUCIPFaHRGWRtkIgkHfpAkTA9eFngzrCHORUAICvPij72474EGQDIKoqrFUeNdEPfAA8W\nABRe+ite4ZqZsvlD6PVd/OUYAwAov7Xt2/AcdWlwoWbGFB0XlrGzDdkKyjKyK6RSjfLa5dmiiC8+\nDXreuBFIK4vVOC2WFKc/L4e1NqDh4G2tEZvwytKwTFReIQYYgGYnTTpAxoem2YlcMpRVlTbb3785\nJIKYPwKnHjfr3tPd2dXdw6u/sykTbIeAlR/dmrX7mVApNxzHKeOtaQAgfhqyaWvYg3R+hVh38K4/\nP29GcQIgk8iaTqusIuH0JcHAD/RhNGjK1GIHGgDJo9BbKp12IfRd+1k0/cqor4fR/ufZYkllNbkp\nwdGrn8gRmnqNJJmosrwGYANanbgsGpqZq6olzrVIyvJKAS6gY6itjDRuVZ2XtVhXlcpDRffahuQ2\ndFleSQdXbyMtf3Zu28pz2+p+s+wXB9MAoDAlV9FgNcti+Af2AIC0sLMpCr2FkvlDNxq47CtfXQDg\nR6zbeb1Qfev31MyYoqPCNB08w4+89V7z+J/0Gsgq0h+RJ131HOxYJS8LChr+8StYPA2pWofw1c+v\n3SN3ivRHL51gr1k3O2XoOw/1NmMBqMmKfQEA0PUYZFWrcZNt0d9bHwCQG5emFtP1KkEjaACklTlJ\nt//+a+/6z2dN/ekJAMDQxUaHUM4NoWloSp7fliYE/RWVXFAulMrYXVw6ty5KNalhF3IAgOc1yhIA\nhLGn7wpU6d8JrnM/8r5sVujuLRu2btmwdcuGXaczAAAWfXsaEEDNy+QCAAC3V9+upDRjW3m76TaK\nS/aDLAAAo+f4AcZyUxGGdicduZ9tj3MdIv6z9BoA0OxiwW1RGre2zrdcV5XJQ3kIrc6WPAAQZycW\ndmTtnQAIunzk6Ya+Hw7XB4DS+7cVlX5wuk8YaQYAkkfBV3IUBh/K5Q/DdNSqpV6aAJB9bMPee6Xq\nHKYwABA81/F+vfTpANOkO9kIdV0mTJ9TIAHEeTdCzz9Rx+40BYVycN38F62o5Nm4vufYiexU8s8c\njyuVAaLM8PC0KTOtAPM5WzYbBp+7nSYQM3VNbXr6DB7qUbN/6pJTKp51fR2y8rhDIekDp1sChN20\nn070jb6TLJDp2fTq041+YXnUrRyI866cfjR3qQsD+uPXrq0+FJEstRo1w98YAKSJZ668EKlxtEuw\nDcxMtOgAaDp1urYZPDNzC7EIgKy6MDu/UsrsOnnnKtfUS+cj7ydl8iulWhaePcmtVElZWa1ywBbd\nyKoK8qpgzwEI2+Hvmd+/nE0z7btg6QheK2MuzLx0JuXDRba1Pyv+ORNXokqPQtPqPsieAIAXV05f\nuJxBigZGkv6YcYssAJsBjrrh+cXZV/95OWWCEWA0ZfVywa+X8kyGL/nAsJFXkoIbwTFzVvVigeG8\nYudm25OX4nKFWqbd+w4dyAmaF3ijPl5tjXMDValRz6T9nAh07WWteSavrElHba3zLdZV5fJQTrSw\nzb3MAQBpN5M7eP+v473pp8kVUTcepOWV0U1ch00c56wBAOmhxxW0phA8t4lDeQBQefvETcWhlVL5\nU2Y0asUi8i4T8tJZXlPmecn7IcyKDA7PbJs6TAbPdcKHk83kHzOth02wBgCk5F8Ip4QxxVuE1tV7\nVNeGn2XR+9bsTyYblSjz1IYdjj8G9taBjqPfXEc/+e/S1R4TYVrI2u+tt6/00QegbdVniFXti5La\n/yX5kVt/6LXzSx896LpPWeJe/2Xp3Z82hOeIyVOx6oHtvHDPNh8NhWcGI7/bNZL8M3Hr5MWRRQCd\na+7mN8fNb47i18VXQ+Lrm3FLbioTj/+dPWBiF0C737LfI5aRr6sBxdCVRpx/IyRhwUonAgBKbpxK\nfI1KyCbQsOrvwgKA4viHDbeDxAVxcXxYGIBuP8hO80p0eUrIrouD1w/jAcaD/rdmEACIqsBUvKMt\n5Ufu2OKxdfVwY0DXeews57F1bxIU9+XbGGe5EIvuX0iQOLnQmU6DbTRvxTU5XGx7nW+hriqZh/Xe\nsS37u2kBQOKF6FdOznc0aByT7p4Tuyuc3Sq7u21DSLr8lJ7eqb+/JxsA+BdDH5YqFqdS+fOQZ2NW\nt3xi4uM/qXE8HiafaoswppapKTom4rL8lOiIg2s/nvHFGTklvcLMU+tmL/rxxPWk3DJJvctndyKC\nNu/9R437N7WIcsI3zZmz5diVpBzSfI20SpDx4PyRq3XHakV5Ed8vWLw77F5miRgAJKXZcWf3fTrj\nu/PZ7bG2J+HfOXz0XNTjzIKyGrILFZdmP4w88EXgjjt1S2pKuKlOOrQi8PfLj/OrAUBannE/ZP2K\nXfGtjpa06G54IlmGBVfOPVFNnxPLwttdBwBEyffkb4UKM+8lVQEAu6ePNQeQFt/5Yek3R+5mlssA\n1OTFnfxu0/na0+zimvodDEnhje8XL/w2OCoxv5JMbY0gLfrc3v3xinOONsVZwSPB3eCrZQC0vUc5\nNXlltY621fnX1VVl87AODfvhPvoAqu/8+QZalZqpybwUHpPKJ49qySpfJkeFbl80d22Y4tF3Zudh\nE3vQACD7XGhKo011mGe2UAAAIABJREFUVfPnjUBz8ejzhoOgoKD4b0Pj9l11eGNfDvDi4MIFBzLe\nzvUzGtd73Yk1Xmyg9PKKiaqazlRnnJnm/juD5thC/GjTzM8j+B19pknwfDYc+NpbA5nHFswJSuvI\nmqn/TVCnqSkoKN4QdC1DY30NjpFrwKd9OQCkSSfPq35VV1k0HD/ZOM8g6VZMSk5+SbWGmcf4mV5s\nABA+vqO8zpc3EWdR5rmfg0fvnGzsMsPP+sqBlI4t3lhdR8zw1gD457efegfscPxroIQxBQXFm4Fu\nNGr9wf9Z1v/OOfl75JtU5UTT6uIwoIfDAMWn0uQjv95T+vTVG4pz1ZOD67ZW+HZlVXTSY6Tkt6Sj\nuj2h6xjX3DwaHJV3O/RhazfKKVoBJYwpKCjeOML8uNO/b/8t8U1e9hK/vBMRZerp0M3UQJMJQFqe\n//TetdOHgq+3bqVVrXGWVaZdPJSmBo/eOBJ+9KmD0e0di/8g1J4xBQUFBQVFO0OdpqagoKCgoGhn\nKGFMQUFBQUHRzlDCmIKCgoKCop2hhDEFBUWz0LiDdodfvB5+8frBWTZKW3KkoKBQFUoYU/x7oev3\nnrLml6Cw66Q4Cb/49wrnVmp0/Fej6f7NRSp/2h2apvPCI9fDL17f5d+1Hcc9dGO/reHXwy+eWuqu\nQ8mHtwgDILStfUYP8fFyc7AyMeRp0CAqznxy/9LpP/+6naWyOWwKilai5b3p5CbX+tYvLMlLT4q7\nGX4m7EZ6RatUFhF67y3f+FEf9WmHbk9YljMP7Z1CKpBP2Td9/pk8CQjDETtClpIW4fihgTN2Pn2X\nNTQQWjb9/ae+P8DDvjOXAWmVICs1NuLYb8cfFKldYRWzS8D+32ZbAHi2wz/wfEHH0IjFspm8cqwR\nUHphf4ScLtWW24VqdaPFfJbkX9p/buZ2P4MRy2dcnLsrSTXFZe0Cnec0dvr0D/o6mesygKr8J3fD\nTxw8ejun1jQKTXfgDyFrmzH/yQ9bErD3qRBg9wgM3j5Kr2lHpxfM3vNECND13YaPGeTes6eTgwWX\nUHjVZhgAy9JvyaLh3IZnTJ6585A5zoMHn/x08f546to3RXvA4prYeY2w8xrhH71vxZqwdNXHhSwL\nLwdSEqcFr9l4Na9GJpOU5ymtianjYtPPmXs2TyDTdfK1bdl125BVPty9+msuA7KKrNw3p6+DaTri\ns+1f9jOof0Bw9C2chgT4ng99UPQOSIO2QxgOnT+xC4AXZ44lvKbTbaFdtFA3lMvnqmehx9P8FlsZ\n+c8fdvLTsDdY7uqA4Hl9tmv9yIY0cYztB8xc4+26b9FnZ7LUPD5lWYydO3Xgm9FSTSr9kIgFSTeu\nRkUnZRZWs7v2GT/fz5EDmuWET8Ze+PhoVgc3ZknxL0OWdSsiropn4+rlYEADdPos/HbO03m7n6ja\nJxMaXDYAoDj+blxyxr9ACtdCs/N11L4cJbUbbP/mlfaI+Ikx/DccBsvKf229hChPv3c3WSDTt+3t\nYfOGw+1AsCzHfOTMAJBy9nIzPa5S7eK1dUPpfBbnXTmd8PEyJ5p9gL9NxM/JHXnFhWU3aQkpifOv\n7tl6JqHKuP/CFQFOLJbr7IX9otZECqSQVT+POHT4kVyG0LS6jRj3Hg+A8Fn8K/rQ+FHHLypYX5KW\nxDdoYZNBWJgSlyQw79fHRK0pYQDCtGOf+P30sn4p8N6D+GLzP79xpQNde3VhU8KY4u1S8iBkz7ak\nGjBNR67at9KTAxiPDXA7su52rUpDOs955LTp7/u4WuqzgGr+87ibfwcdC08oqW0umr3Wn/nOS251\nmue3/SxpeK7s8gr/eoMBLfmj1Wfj2XUedODl6S+3FA5fOKm/rS5Rln798M6dIU/K65c2CU3rIR9O\n9/d1tzPUoEFaU1qYlZoQHRl0IPJFQ3tuKSwVcie9jGvpNMiGc1/U30UDVS8EnM76Ci5aDovQ6T76\n4wWTh/QwZNXkRp/euyvxlWCYtot+3xNgJPck/8/Z8w6kKtikM3AfPmaYt5dHD0tDTQKApDw/+eG1\nk0eORaZXKb/0S9PuOcOfNPgnTT4SuPTYk0oZADANXAbZy1mdbXt5cVzWBG0doiUXdrfAkHOB5J8v\njs2fGVSnilmJ8mpYHE7aMm0vc8LsycN6mmnRJBV5sYfXrjuummEJtu3IYaYAkH7hXkEzdaLZdlFv\nUOr1dUPZfAYAqSD20hM49UCnoaO7/749vvU2q940TFNPT0MAqLqxdffp6ArgacZmE++gWeZg9fJz\n5V29IpBCmHH56H65jwi9QT9MAACUXjseW9yorkqzLh0+fKeiyeCqH2+b/v66CpGM47bWo4+JWqfI\nBCCtePlSYVNOKqqoIutDTWlVR1aiSvGvRpQbeehMHgCA7dDPkpzlMs1Gr/pt12K/Ppb6pLjVMLD2\n8vtk9y+rhhupMk1UxR8978+2zB1gq0sA0LH0Xbx+sUe9JTym5Yff71nl793dUIMGAARb18jWbdCU\n4ZasVoXVErKcmIcl0HT1sbPzdueiOuGuogkEJcJidR2/eev/RvUwZAFgm/aZvH7HdDu2ivEAAA27\nGUumjOxlTUpiAHRt4x59J6/+6dsxJiqki2010EMTACA4t/NkrYQAIOI/unAzR6h0uup5XXkpg6rl\nZTp64/ZlH7iaadEA0LVMultoq3jwidnVt48+ABTcjytoqcttsl0ALdYNpfK5DmlJ4q0XAMDt5WvV\nkY9d0HVMtAEApS/4dWZNi1+QRpwJK1fTpuLOMPX192ACQF7EqcdNGphuDpmwrEL0hnZum6hbdMO+\nEz1YAFBxLyL137O4R/HOIcyPTxEGmLAAna5dtIiH1UTnUStXvMcFUPEoeOfxmxnV2lZ9pyyd4MTh\n+qz4xPf+15F8Kaof75y9YD8BjuvSHcsdCKD82pYv/kgVAvV7xgxl/KmHaaSdFLbrZKreiPlTPbQA\nHR8/u5+jYyoBsG3H+ncjAFTG/PrlnsupZYSusbWL56ChpvUtVrWwWqQm41aSyMfLc7y/pBNkCf+k\nVbk0vFQiLJlOr5nTHcl2//JW0MmYKttRs4a+ulCZ+efKueeZNJqO55qtc5vZmpYJ+elRN8KvRMc/\nyxVU0Tq5jF2+Zpw1wXSZNtoy/HclbRPR9aysdQAA1Yk3nze9F6Gm8qp+uvuTuYcZNKbpqI1rPzAG\nkBm0bNMNvhSATFRMGpVXvbx4DuYoSYiMuPmsUMQxc/JyFqrYWxPcbq5GACDJfpynxEJko3aRVPf8\ntXVDmXyWQ/QyKaMGndnQd7Ln0RPfpH2PNiGtKSfrmYGDjS6RypcC7C7OpuRLbmcjDdrjxsdNmBbv\njyNrdEpIRBMrGETX4bNmOTY8l1WnXjwR2Xi4on4aC2Map9vUVct6MwFU/LNn370y6vgWRfshKRdU\nAiwAHD1NOko7jxhrTwAQ3v1+wx83SmUAnjzNZLseWWYDttv77tyrl4qk0mp+ViYf0DStlAIEIC7N\ny8yQnyQwuyjjT4P7p3u++eV8vpSZ3GnA4Y86A2zTzrr0mEoJQOdwyVVPcVVpUVFpWZW0rEzwIuV+\neKvDaglpZUpUKrzsvfoDyLidWOqgWrqqrYb0JK8vZfy2ZuORTCGIW/n6h9b0UpxCyITFuZnFAI1r\n02y/XRmzetbdmtpRB0HQS26cCEka97kjYOTcTZdIKVQqWXQt/dqF45K80qZnheoqL1mNICdTADCl\ndYeVavhZmRkKp6lbU178sNULfowpJZ+eCGayGaotKDL0LTuROfBCoNTsp1G7qON1dUOZfFYMoyir\nGDAG9G06MdBhhbEoNya5elInDTB6fvHd510vPqky9po4tlPtW5Y2mwYoCjFNx/GjjQFA9CAkskn7\nWQZ9J06S/y28HX/qbQtjGsd64tfb5nSnA8KEQys3XC3sqCVA8Z9DJgNN09KVHPKyPL8NvtDYBWFk\nq8+4VNRym1HVH0Hy8yIpAElZQRn5hKnBINc9qzNuxYt8PJjQ9fn0sM+8tLjY2LiYW1FRsTm1m6bq\ninMDkuL4e9mw7wKgMO5hgbihw1UmrMjSLl3JPjnvn1u5QgCQFsVeeYZezdz8eA00ZmfvKdNG+/bq\n3oXX6F6stoEWHcoJYyXCUV95qT0sAMgJD31U2pBWmahGxWM2dA1dcnxUU6HypQGZ/AfN1w3VkVZX\nkCMWDpfTga8by8pjg/5M9pplR4BhOWj6/EEKbwkaGhU8wfOc4MsFgPIbJ6PVf22uDTQIYxrHeuLX\nOxa7agDVcQc+/fJEciU1K6ZoX+jaBuQuF6qKqiQEm6v5OtcsTZZSXa6q/oiFdcNnaeMmIeVf3bDO\n/OtPA9x4ALhWrgOtXAdOmLkk8fhXXwTFl0pVDksJRLn372RM8DMlBNG3s2oa5kVKhUUwtWo3GSsE\nFbVjbWl1SVkNoOK2MdtuyvZfp1o3HXs6U+lNY0mFoPasDNdElwE0sWyovvJqkdaUV2me6ufwFJBJ\nxKQHBIPeglMSxXYBnfoXzdYNZfJZERqdQcpgiUjSoSWBMD14WWDpgjkTB/c004KsPOteWEisS+BC\nJxpkFcXViuKWbugbQG7CFl76q5l7u9K4r0d/2cwBrjdJbZOhcWwD1v640IUNlN3evWLtuVZc66Sg\nUDMsY2cbcvW0LCO7QirVKK9dXSyK+OLToOeN5x/SymKlpphSoXr8AQBIBDF/BE49bta9p7uzq7uH\nV39nUybYDgErP7o1a/czoVrDqkWY/Ov0Cb+Sf2u6y/mlRFhSXkXtQii5wCkFQGPraqt8gIvjOGU8\nKYnFT0M2bQ17kM6vEOsO3vXn5ypOsSXF6c/LYa0NaDh4W2vEJryyLP4m8rA5WhOWTCJrW28pKcsr\nBbiAjqG2MtK4UbuQE8bN1g1l8lkRQtuQ9Lcsr6QjzR+bQFr+7Ny2lee21f1m2S8OpgFAYUquojFq\nlsXwD0hNKGlhZ5U81PDWIADQNLtP+XbHQhc2UHj5h/99/TcliSk6AEzTwTP8yJt8NY//Sa+BrCL9\nUT4AQM/BjlXysqCg4R+/gsXTkCo3hFeXPwBAI2gApJU5Sbf//mvv+s9nTf3pCQDA0MVGh1BvWOpI\nl7Q8O4sc85v17WPIAACC66K68hBC09CUvNchTQj6Kyq5oFwolbG7uHRWPdrVz6/dI0+06o9eOsFe\ns27mydB3HuptxnoDeSiTims/IBiNVmDfZnnVI+I/S68BAM0uFtwWpfEr7UJJWsxnBQitzpY8ABBn\nJxZ28NutBF2+FOmGvh8O1weA0vu3FZV+cLpPGGkGAJJHwVdyOtpNIQYYJmPWbJvvyAIgfBbHtxg1\nc1b9W1HOtb/OpVGimeJtwnXzX7Sikmfj+p5jJ7LDyD9zPK5UBogyw8PTpsy0AsznbNlsGHzudppA\nzNQ1tenpM3ioR83+qUtOKXVPQV3+AMyuk3euck29dD7yflImv1KqZeHZ0xgAICkrE8rUGpZ60lWd\ndvlh9RBvDcBq0brl9L9iq23eX+DZSCM1wTYwM9GiA6DpdKp9x+CZmVuIRQBk1YXZ+VUFeVWw5wCE\n7fD3zO9fzqaZ9l2wdARP9VjLyuMOhaQPnG4JEHbTfjrRN/pOskCmZ9OrTzf6heVRt3LUnoeSisJi\n8myf1cjxfVMuZlaIZTJRcV5uqVD2NsurnqrUqGfSfk4Euvay1jyTV9ako2bbhZI3j1rOZ3nY5l7m\nAIC0m8kVHVsC6Hhv+mlyRdSNB2l5ZXQT12ETx5Ea1tNDjytoRCF4bhOH8gCg8vaJm4LWTPcJnut4\nv176dIBp0p0cjOq6TJg+p0ACiPNuhJ5/0oa8YoDOs7GoLU1WtyGTuym8Tsw8e54SxhRvFVpX71Fd\nG36WRe9bsz+ZbFSizFMbdjj+GNhbBzqOfnMd/eS/S1c+CHX5A4DONXfzm+PmN0fxcfHVkHiyXaox\nrBZRIixZWcyhoETPeQ500LoMWbB8CABBaoGGjaGcU7bzwj3bfBQltMHI73aNJP9M3Dp5cWTi8b+z\nB0zsAmj3W/Z7xDLyTTXQCksTwrSQtd9bb1/pow9A26rPEKvaFyXKp0sVZOWJl5Mkro50EDYBX+0I\nANCg9ONtllcd0qL7FxIkTi50ptNgG81bcU2K+9e0CyVpMZ8bYFv2d9MCgMQL0eo6iPfGoHFMuntO\n7K5wdqvs7rYNIekKOmo69ff3ZAMA/2Low9JWSTUGz3XCh5PN5B8xrYdNsAYApORfCG+LMO7Ax+Qo\n/tOIy/JToiMOrv14xhdn5PZNhJmn1s1e9OOJ60m5ZZJ6l8/uRARt3vuPCqf/1eSPhH/n8NFzUY8z\nC8pqyC5LXJr9MPLAF4E77tQfsFVXnJVBibCEmSe/+GzPxWSBGEBNfszJdSuCklXXJ1CddGhF4O+X\nH+dXA4C0PON+yPoVu+JbF21RTvimOXO2HLuSlFMmBQBplSDjwfkjV7OFSqdLBSQvwzd980fUk/zK\npuTM2yyvWqSCu8FXywBoe49yeq2GkmbahZK0mM+1aNgP99EHUH3nzzeUYjVSk3kpPCaVTx7VklW+\nTI4K3b5o7towxTQxOw+b2IMGANnnQlM6or5zmotHn/aOAwUFBcV/HKa5/86gObYQP9o08/MIlRTB\nqBuC57PhwNfeGsg8tmBOUFoHO+f0r4WaGVNQUFC0O6LMcz8H5wMMlxl+1u2qgJLVdcQMbw2Af377\nqXRKEr816MZmrTj/SEFBQUGhVsT8xw/zheVZmRUVmcnZrTPirQbovO62nIKUh5eOHo3KVVWzJ0Xr\noZapKSgoKCgo2hlqmZqCgoKCgqKdoYQxBQUFBQVFO0MJYwoKCgoKinaGEsYUFBQUFBTtDCWMKSje\nEjTuoN3hF6+HX7x+cJYNs2X3FBQU/x0oYUxB0Xq0+my8En7xevjFE3Nt2/Vu6L8KTfdvLoZfvB5+\n8e8Vzq3QrklB8S7CAMAyG/TR5AG9HO1tO/PYAKRVhRmPb0WGHgmLyRdR18wo3h04bmuPbh7IQcml\nZZO2P1ZUecdyWHx472h9SGK+CvjyZnk7xfCtwOwSsP+32RYAnu3wDzxf0G7anLS8N53c5EoAxWHL\nP9qWVAOAZT33yO5JxgCSNo9bEVnUHh1Mh8kfACC0bYdOnjq+v3t3Iw4NNcX5OWmJd69ejbwck9Fu\nV43fNeg8p7HTp3/Q18lclwFU5T+5G37i4NHbObW3pGm6A38IWduMaU9+2JKAvU+FALtHYPD2UXpN\nOzq9YPaeJ0IwzPz3759v+aqDnKAZC4PS22bdigGAbfX+9GHODc8ITicrD7+5HiM8985ddSqjg5vP\noqCoRyxIK8JADnSM9FiAojCmaxtoA0BxFr+dtArJKh/uXv01lwFZRVZuR1f4S/E2IHTdP9nx/Qem\n9Q/YPGMrN2Mrt4FOJZOWX2vafBOFAgTP67Nd60ca1D/gGNsPmLnG23Xfos/OZL1DGsQYACCrFrxM\nfhafmPKisLiG4HZ1HzHCtRPAcp4x0zFiXVxVe0eSgkI5xEWZfBnMaATPRIeBUnmDpTQ2l8cCgOKs\novYyZCriJ8bw2ylsig4Iy2LsklpJnH/nr7/vppUzeGbd3L19e5u18CVFHSy7SUtISZx/dc/WMwlV\nxv0XrghwYrFcZy/sF7UmUiCFrPp5xKHDjxgNH9G0uo0Y9x4PgPBZfH7j/oAfdfxiprwUl5bEv1QY\nPUueXz75T0HDPFUiiCtu8/CaAaDs1qoPbsk/DInI2XtktgWgaWLIIVBFLZZQvBvIal5mlcCZB64Z\nlw6B41eh3w/QhDj628mfR2sbaQGAsCC3TArQDdyHjxnm7eXRw9JQkwAgKc9Pfnjt5JFjkekNFZ7Q\ntB7y4XR/X3c7Qw0apDWlhVmpCdGRQQciXzQecdN1nSd89fGk/ra6RFn69cM7d4Y8Ka/1h2m76Pc9\nAUZyjvP/nD3vQKrcmpNWn41n13nQgZenv9xSOHxhk/4ADIPe0z6eN8HLUpdWlnY7dN85jaUbJpuh\nbslXw2VN0NYhWnIBdQsMORdI/llnIpCMLc9pxLQZY/q7WvBYEJdkxd84d/SPc48EYtXioyYIne6j\nP14weUgPQ1ZNbvTpvbsSm3Cj22PskgWTBnY3YFbn3T/3y674Ib+s7csGyi6v8N8WT66CsCxnHto7\nxQxA0pZpe5kTZk8e1tNMiyapyIs9vHbd8Zf2SuZPC/5kCKFS3WgOmqaNG6mNOOfw2u/21xXOsQM/\nmTg60eUWdl4fn78qh+w+HOgAIO/YrPkHn5P1itE5YNeBRRYA0vfO+fh4Tm3REhwLX/8p/gN69zDT\npqOmOPf5gxvhIacvJdQJEzWk623CNPX0NASAqhtbd5+OrgCeZmw28Q6aZQ5WLz9X3tUrAimEGZeP\n7pf7iNAb9MMEAEDpteOxxY3qszTr0uHDdypeF2pZwvmg/Umqmzp7LYzGDwgWt7PbcG9yYJZ595na\nGx4FxZtDLMgQADzomPIYDH1bK00AYNj0NGPeRyctACgiJ8YadjOWTHGV+5Kubdyj7+TVfXpozl95\nJk8MAEzLD7/fM79b/SFHgq1rZOs2yJYRdfSVjonrtfwHEyM6AEDH0nfxenH6nC3RZSrviOp5f7bF\nSJ9oyh9Cx/WTbRvGGpMOday8Z2x2a5VVVobxsM93ruqnX/+b29VtzEK3/m47Pt5wPltxW+o18VEX\nrK7jN2+d70h2RWzTPpPX70gtYDdyYz5+8w/zHcj81TDxmPDNdtfGbhQwHb1xu4N5bfdG1zLpbqFN\n4KXqkWvSH6hWN5pHKhZKAQLQs7XmMdNf1ua9TJiXEKt8fKTZMRefwaEbYOLlbhD0PE8CgOA6+VoA\nADKv3CqolcR0fe9lP6wd0zDtZvNMewyc3MMw7fb/rpfI1Jautwhdx0QbAFD6om77SVT8gjTQTFi5\nmrKuCF4xl8gw9fX3YAJAXsSpx00aj24B3vC1f43R5dCkFTmJt/8+fuBETEHbM6dBGLO6LTz20/gG\nC+NVKWd3bzhGGe2geJeQlLx4WQNrNl3PRJsjdjAhnxo4dNNj5ZDCmJ9ZLAYAmZCfHnUj/Ep0/LNc\nQRWtk8vY5WvGWRNMl2mjLcN/TxECbNux/t0IAJUxv36553JqGaFrbO3iOWioaRPHGtkmvKd/7w1N\n5Q2b92EvTUDHx8/u5+iYSgAQZ/65cu55Jo2m47lm61zb1yaAaaSdFLbrZKreiPlTPbTk/WGZj1lS\nK4lLY44disw1HjJvkruu/MfVT3d/Mvcwg8Y0HbVx7QfGADKDlm26wZcCkImK80QAQDce/NnnpCQu\nizt+6PxTqfWomQG9dcH1/GTVyAdLwnLFSsVHJXh+28/6NfmGptNr5vRaSfzyVtDJmCrbUbOG2jR2\nM2M6KYllLy7/djy2ynb0wrEOrw3QwRwlCZERN58VijhmTl7OQpmS+aOEPyrWjWaRVSReSRD3dGGA\n4/3ZkeMjL56JuHDp1uPc16xFNhkfSeHdK8/RzRqw9HXkhuYJpKDp2Pt2AwBkX7+dSyaMMBgQ+GWt\nJC5LCAu59DBPqGlq996QgZy6SKsnXW8TaU05KaMMHGx0iVS+FGB3ca7dhOd2NtKgPW5s9Zlp8f44\nshWmhERkvCrhiK7DZ81ybHguq069eCIyR8EhW5cDAISWmdOQ+d/5ePz6yRdttnD1ysy4Fv7Da5ci\n415Sopji3UIsSC+Clwm4nQ2MtS3YQHmxVJvXxd1Cp1xfA0BlXmGFFEBlzOpZd2tqexiCoJfcOBGS\nNO5zR8DIuZsukVIoBZ3DJVc0xVWlRUWlZVXSsjLBi5T74U0GnLxvzd6/86XMJP3+hz/qDLBNO+vS\nYyolAGTC4tzMYoDGtWnZpvnTPd/8cj5fykzuNEDBH6ZJ/0FdAQD8M9+u/yWhCrRbmboHdo6QO/4p\nqxHkZAoAprSoNqAaflZmhsJpYYbJwHEuTADgn173zb7HVTJcu/WceXjHBGMQDmMHdw4/onBms7n4\nKFMYyqBhNaQneX0p47c1G49kCkHcytc/tKYXqyk3aXu/3h6cI8aV+3yTw+s9X3PviR+2esGPMaVk\n0k8EM9kMMWSylvNHGX+gYt1oFsnLyI1rLNd+/YE9B+jkNGyO07A5KEqIOLrnwN+PS5uMVpPxkb2M\njkxfYG0Jwr6fnVbknTJo2Pr0YAJA7tVbtbKYbujzYW82AEgSdgZ+EZpDPo4MCwky4FSRLUFN6XqL\niHJjkqsnddIAo+cX333e9eKTKmOviWM71b5labNpgKIw1nQcP9oYAEQPQiJf2S8GAIO+EyfJ/xbe\njj9VL4xrSrLuRd9NyMgrknC7vff+GBd9QMN9/leTYhYfyWzTaecGYSzhR/95tEqPoWlg3WtIb/Oe\nIxft8On53eJvLxVQ5z4p3hlERZl8wAQ6nY0suxoB6X+fFgbMtLNxs04hV6kziiQAQGN29p4ybbRv\nr+5deI30b2gbaNFRKEV1xq14kY8HE7o+nx72mZcWFxsbF3MrKio2p4mZi+BpSpEUgKSsoPYILFOD\nQVM9/oLk5037wzR1IqfFZbGXU6oAQFb59GpM+Ygh2ioFwO7aqwsAoDQmMrW2C65Ou35LMOEDfcDU\n1YpzNENuFtRsfFRDmn711M0CMQCGnvu4od3qV5gJ7S5dye4/759buUIAkBbFXnmGXg03URrc5NyM\nJldcpSWPrqfA06nZAHPCQx/JSTOZqKZ1/WQz/qhUN16HRHDr18Dx53uPHjt2zGAPcw4APacR/9vT\n2/7rpVuv81/xrJn4iAvuXsqaN68rWD18rDXuPJRa+LhoAUB+1LW61WV2F3dy3Vr8MDQyVy47JOX8\nupt+akvXW0NWHhv0Z7LXLDsCDMtB0+cPUnhL0NCoshI8zwm+XAAov3EyukjFVInzwv43JURY/1XY\nmRtLfvlhhAFgOWZQ178OPm/L9LVB6YdEEHvyyKHfD+7d/PXCj3Y+qAGg473IvxulyoDiHUJWnZ9d\nBoBl4uhuyUR+0uggAAAgAElEQVTxkwf3HuQBJr2cLHQBoCizSAyw7aZs/2Pl1MFOr0hiAHQmOUSV\n8q9uWHf8QTH5lGvlOnDCzE+37f9r9wxn3VeU5YiFdUNsaZvW85rzh8bU0iKjVVFQUTc8lutFlYXG\n1K71p7Kw3h/IKgvJ8yo0ji5bofdSU7pKH509+OuB/b8e2P/76bocBQAQTK1awVwhqIuPtLqkrKZJ\nN1VFdVNyWU1p+evOz5TmlahlEtGMPyrVjZaQVmbf/Wv3Vx9NHD/9m/3XCwAABkOWT+vRxMS/uXSJ\ncv+5kQMAuq59u7CYpr376ANAwe0b9bM1pqYO2ZlXFBTXNFOYak3XW0KYHrwscGfYw5wKAJCVZ0Uf\n+3FfggwAZBXF1Yrilm7oG+DBAoDCS3/FlzeZDdK4r0eNHObb8G/0yvp9GalQKO+htDTu3FXyKIJR\nd+M2ysomM1j88u6lVACAgb2FTkctAwqKJhAL0osAwNTDyxiyrEfp6fEp1aBZ+/TUB1CaUyCUgeM4\nZbw1DQDET0O+nTd9/ND3hw/8cMvjxn5JBDF/BE4d9+Hyb344cCoynpxNsB0CVn5k87bHqDJJZW23\nwtHj1DVJQlNPU1V/ROUVpHjV7KRJr3tK0yQ31CGrKm2un34zSEUVtTKVo1cXHxpbV5vdpBstfa06\nNxpcndcd4JJJZGpJR7P+vIG6ISnPiA7+7tuTZOfOc3Y1fnWk2Gx8RDk3r+cCgJGXu6lJz/e6AAD/\nn+sNe6Kiytrhi1YnLqvZxY0OVOeVRlr+7Ny2lTNHjRzmO3L4+/NXH8g0NaMBQGFKbpVCdrEshn9g\nDwBICzubopZdWFpdVra5whGgsfSNeIplQ9Oy7Fm7Ay4WtW2gT0HxdhGXZBSIAWiYaAP5j9IrKrNi\nMwBmJ30agOKMIjEITUNTDgBAmhD0V1RyQblQKmN3cencyCsaQQMgrcxJuv33X3vXfz5r6k9PAACG\nLjZvfYxa8zKZnDNxe/XtSnaLbCtvN92m3Mqk4tpWSzAax7MmK/YFAEDXY5BV7dSLbdHfmzxbnRuX\nVvV2hXF5dhY5KTfr28eQAQAE18XXtmk3Jj7vmTIBgNB3G9St1YG+Ln+URD11Q9PR/8OBFpry7mmk\nzwBkqvXuwuyo6y8BwKJv3379rQGg+O7l9Iblg5rsB1kAAEbP8QOM5U4LMbQ76dT97FB1XlkIunzM\n6Ia+Hw7XB4DS+7cVlX5wuk8YaQYAkkfBV3JUVzdAY2lr0OUfEDrOwweQlxbznuS1+QAX3XDE+v2z\nNJ/FPnqamsuvENK0O/ccMtyNPBby/HayWm8xUFC8aYT87BL0MgAAYfqjl0KpKDmej+4GACDlvygR\nQ1pVkFcFew5A2A5/z/z+5Wyaad8FS0fwFD1idp28c5Vr6qXzkfeTMvmVUi0Lz57ktq2krEyodLMg\n2AZmJlp0ADSdTrXSj8EzM7cQiwDIqguz8yuV2LkSZV/95+WUCUaA0ZTVywW/XsozGb7kA8Mm3Uoq\nCovJKzNWI8f3TbmYWSGWyUTFebmlQpk478rpR3OXujCgP37t2upDEclSq1Ez/I0BQJp45sqLt6xx\nrzrt8sPqId4agNWidcvpf8VW27y/oNHJrAY3FvPXf6URGlNl8/7sXq2fqL0uf5TzQT11g8Yw8pq1\nds4swZN/rsc+TntZDq7doPFjyEItfZJQoFJZiDKv3uYHjDWA3ZRZIACU3ItMlTsxKCm4ERwzZ1Uv\nFhjOK3Zutj15KS5XqGXave/QgZygeYE3SmRqq/NvFx3vTT9Nroi68SAtr4xu4jps4jhSo3l66PEn\n8icmCZ7bxKE8AKi8feKmoBWb4BouSw+vM0+Oik3Oyi+qYhh08xw2yolU/ZVyps1XvxgAQCNYht29\nBnf3UnwnTftz6/kX7aWtiIKiVYgL0/mAAQDkPMisBiQ5sWlCfwMWgOJsQQ2AysTjf2cPmNgF0O63\n7PeIZeSH1UCjTTo619zNb46b3xzFx8VXQ+IrlO6Y2M4L92zzUfTZYOR3u0aSfyZunbw4skgJf4Qp\nIbsuDl4/jAcYD/rfmkEAIKoCk/OqU1l54uUkiasjHYRNwFc7AgA0KLWQ5Edu/aHXzi999KDrPmWJ\ne/1XpXd/2hDeiulC25CVxRwKSvSc50AHrcuQBcuHABCkFmjYGCq6OZzoOd+BDhj3nb6oLwDBs5f6\n3Yya87WFMF+XP0qijrpR507f3ucDex+FV+V39gQlqqj7UJh2/aZgrJ8+WCwAKI++kqLgg5QfuWOL\nx9bVw40BXeexs5zH1r1JaFgZVUudf8vQOCbdPSd2Vzi7VXZ324YQBWXR9E79/T3ZAMC/GPqwVTf0\nAbC1zXuPNO+t+LD45k8bQ9s8jCUg4d88cijsVkJafnEl2RClVQVp98/uXz0l8ODjyo6a/xQUTSOt\nyMslj1uUPEsWSABUpcfmkO8E2eRZ6uqkQysCf7/8OL8aAKTlGfdD1q/YFa/okYR/5/DRc1GPMwvK\nashRtLg0+2HkgS8Cd9xp+trJm0VafOeHpd8cuZtZLgNQkxd38rtN53PJd+IaiXxLlbwM3/TNH1FP\nmp5zi/Iivl+weHfYvcwSMQBISrPjzu77dMZ3jTV+vB2EmSe/+GzPxWSBGEBNfszJdSuCkmsauwn9\n/NPd4Un8GgCilzEhXy87+qz1CpBenz/KeKCeulH6z7cLV/1y6p/kvDrVreLS/Kf/nPl5yfz14S9V\nHhfVpF27WX86rjLmwrPG0lxSeOP7xQu/DY5KrEt5jSAt+tze/XWCtqPVeaWoybwUHpPKJ89UyCpf\nJkeFbl80d21YtsLIitl52MQeNADIPhea0vIdw6YQZV0JPnv7cYagdvddWpGfePOv75fOWR2e3fYN\naJqLR582e0JBQfH2oXG9151Y48UGSi+vmFinEvI/gqb7N6c3NFaHSUHx7tKc0g8KCooOhobjJxvn\nGSTdiknJyS+p1jDzGD/Tiw0Awsd3MtWsJ5eCguLtQgljCop3BZpWF4cBPRwGKD6VJh/59V4JtZ9E\nQfFOQwljCop3BPHLOxFRpp4O3UwNNJkApOX5T+9dO30o+HoapbeWguIdh9ozpqCgoKCgaGc66jVu\nCgoKCgqK/wyUMKagoKCgoGhnKGFMQUFBQUHRzlDCmEIpaNxBu8MvXg+/eP3gLJtX9ddTdDCo8qKg\neLegTlO3B3T93pMXzx3Z275OVzGluEBdMLsE7P9ttoXcE/H91WPWRFc2+wUFxZuHpum84NddY42Q\n+uu0ZSFZ7aHpTFnoxn6bD65wpAsiVk7/Obaso+rd+vfxijBmWc/cuW+WJQAIzi0N2JVEKRNQAi3v\nTSc3udYvMwhL8tKT4m6Gnwm7kV7xSmUm9N5bvvGjPu1rkIxlOfPQ3ilmAICUfdPnn8mTgDAcsSNk\nKWlhjB8aOGPnU+rGjFI0jACe7fAPPF9A9V+NYNkvO/jTONL4THlk4PTND1RUu0yirnx+++XFspm8\ncqwRUHphf4ScztGW+w3l2qmI67stbKVT02E/3frB8osNZhFaLAtJ/qX952Zu9zMYsXzGxbm7kt6B\nOQKd5zR2+vQP+jqZ6zKAqvwnd8NPHDx6O6fWtAVNd+APIWsdm/6WH7YkYO9ToTJuAND13YaPGeTe\ns6eTgwWXAAD+6QWz9zxRR0/ZSBizbSd9OctSDf7+t2FxTey8Rth5jfCP3rdiTVh6dSObml4OpCRO\nC16z8WpejUwmKc9rx0GPTT9n7tk8gUzXSdF0nTyyyoe7V3/NZUBWkZWrFrPtbwZR/vkv5t9m0aBh\nM3375/202zs+7UWHKi+WmVcfvbof2q79zVkP/lPjPMJw6PyJXQC8OHMsoWmD9gBa6jeUaqctokxZ\nVD0LPZ7mt9jKyH/+sJOfhrV7/Xk9BM/rs13rRxrUP+AY2w+Yucbbdd+iz85kqbmesSzGzp06sAnj\nLGpAQRizrSetmWrRnFMKJZBl3YqIq+LZuHo5GNAAnT4Lv53zdN5uRUteGlzSLHpx/N245Iz2X3qg\n2fk6al+OktoNtm9+20LET4zhv8VItRZRaW5WKQC2VllHXgt843Sg8mIYunubAYBUDIIBA88+Zqyn\nyttHeudhWY75yJkBIOXs5WYWqJXpN5Rqp8JnF07cL5SXnqLcFDkT1cqVhTjvyumEj5c50ewD/G0i\nfk7uyGXFspu0hJTE+Vf3bD2TUGXcf+GKACcWy3X2wn5RayIFUsiqn0ccOvxILtNoWt1GjHuPB0D4\nLD5fDCjlhkQGYWFKXJLAvF8fE7WmRC5stu3ULz6yBPIfPuP27KbR7CcUr6HkQciebUk1YJqOXLVv\npScHMB4b4HZk3e0SGTR7rT/znZfc6jTPb/tZPwBye8ZafTaeXedBB16e/nJL4fCFk/rb6hJl6dcP\n79wZ8qS8fqmJ0LQe8uF0f193O0MNGqQ1pYVZqQnRkUEHVLepWZJexrV0GmTDuS/q76KBqhcCTmf9\nhtdM20W/7wmQN1WX/+fseQdSX+lTCI6Fr/8U/wG9e5hp01FTnPv8wY3wkNOXEopre4aGBbekLdP2\nMifMnjysp5kWTVKRF3t47brjGUIAoPOcRkybMaa/qwWPBXFJVvyNc0f/OPdIIG/Ahs5zHjlt+vs+\nrpb6LKCa/zzu5t9Bx8ITSlQcwCvnz+vSxXFZE7R1iJac626BIecCyT/lTfKpJe1K1Q31lZfa6hjB\ndfWxBICM0GCR/1RbdH7P3fBY+gvF4mpjPosNR+0+HOgAIO/YrPkHn5PpZXQO2HVgkQWA9L1zPj5e\n5NCiP3THwD+3jtIDkLr3w6WncshIEvpDNh5d05MOVEetnbrmrkpG3tm2I4eZAkD6hXsFzdTRZvuN\n+iXkFtppHcWPzhw8nNJsASlXFoBUEHvpCZx6oNPQ0d1/3x7fql2FtwLT1NPTEACqbmzdfTq6Ania\nsdnEO2iWOVi9/Fx5V68IpBBmXD66X+4jQm/QDxMAAKXXjscWSwEo5Qaofrxt+vvrKkQyjttajz4m\nap0i129XsLtN+mKGOZB57LvgVyxvUaiKKDfy0Jk8AADboZ8lW2UP9Lw/2zJ3gK0uAUDH0nfx+sUe\nOnVGR5mWH36/Z5W/d3dDDRoAEGxdI1u3QVOGW6q+Dy3LiXlYAk1XHzs7b3cuqhPutsbkAF3fe/mu\n39ZOGehkpk0HADbPtMfAycsX9dSmveradPTG7f9n7zzjojq+Pv7bu42l7dIFC1VEAQVERURRY4+C\nBWNLLLHHaGxJTIxPTOxGjRpbkr/R2CIGUbGABRUUERRFRUAE6V3q0rY/L+4CC4LcxVVJcr+ffbG3\nzZ1258w5M3Nm2TgXCx0GAKZOuy6WugQAsMyGfX1g7+c+vS0FHABg8Tu6jlmw7fB3ozrUzQdmW4xe\n/fueRT69rQzJxGoZ2Xj4LNn76+rhpurMRqQWjnrposKbpL2W19UNarScLs3VMYae46DOAJB//3Z4\nVA4AWPXvLmiwjuPN81leHHPlOQCgnYebEZM8SfCdvElLX8b1O4WUdiSsTjp/KR8AYDtygJmyJhAC\ntzFOTAAQ3g58opYkBtgdvXsbAkDh/dgW49Bsu6GZ75RKWZDIy+LvZAMAv6e39fud3vJ6mHrtyLGo\n8uwiZR9EUppdBgAgrF3Mm4o7y9zbz50NAHkhZ542PbezmXsUYmGl5C35gVfWNq7dpDVTLYGMIz/9\nlcRe+Hbe9d9CnP8kWTy5HQfQ69hBh3hUI695uuvT+QcJ8Fy+2Lm8GwFU3Nz69R8pYqCJMWO2qW5C\n0J7TKQYj5k1z1wH0vHzsf4mOqQLAtfP160wAqIr57Zt911KEhL6ZTfc+g4eat6aWiNLvJEi8PPqM\n95MZQxF3O7W6u+placZfq+ZcYjMYen3WbJvT9FAVYTRw6TdjyEkmwriggKuP8sTa5vZ9hwziNRkh\nQbdOKIsLDYl4/lLCs3DycBYrADDNPvjyq/6GACCMPfnnpWdym1EzJ/fSB7/PktUjHy4OypWC1X7U\nqhV9+QAqH/vvOhmRXqNr3W/qFxOceHyvFUu87/9faBGlyTjUwmkxXTXP9i6Zc4TFYJuP2rh2nBmA\njKPLNoUXyQEoJKV5TZgkW5/2el5TNzRVXhqsY9p23k4sAFVPY1LTRI/LplnwGfaDHfRCImo3t9BI\nPsteRl1/gc42gJW3Iz8wr1gOhp6Dd2cAQFZYZK4EkFIIR5IefCFt2mwrwGpUf4vT/hkSEAZuI7sz\nAaD45vlm2u5mIfidXUwBQJb1tKkK0ZhG7UZC7fkWvtNaBC7j58wqqq8tsqLoc0GxZcqvouWyqENS\nkJAuQnsuDJ0cBMz4grY6biwXVZAy2KibrT6RUiQHuB2czcmL/PamWoynjYbewbb8cCz5ZSQHhKQ3\nbUWgco+mYQEA1+7jLz+2BNL/2nwsWYSu7+TN/3pkFcVVAAcAz0CbiSK5vKYoM6MI0DavkgMEIC3P\ny0hvroP7bN/3v17Kl7OTjAce+aQ9wDVvr8+MqZIBTB6ftLRJq8tLSsqF1XKhsDg7+X5wq6Ipr0q+\nlQIPB48BANIj48u7NbisEJfmZpQCDL5tc7MqmSZeU3pxAUAWt2vp14E5ZJMTGhRw1IhX3VTbXRT0\n3fyfY5Sblf/tz+aypGBZDBrbnQ0ARWd/+P7A02oFbt55wT6yc4IZiG6+H7QPPpaODiN8HQgA4qjN\nG/4IL1cASHyWwXU5tswWXNcP3fg3rpZQkMZsSuG0nC6FqDgnoxhgy0uUmSMqysxIf+3s3NamXbUd\nb75uaKq8NFfHtKz7O/MAyJMjUkUiWWSCZIQHm+3kbceLILsPFOJDKZ9lBdGhafNtrEA49LfXCb0r\nhJadV1c2AOTeuJMroRqONDvsTNysZU4ELIcN7BB4JFVm0HuEIwEAecHBKerqoyxDK2MAQFl2MaVn\nG7UbtbTwndbCsR0yyVb1RLbo5sVaYdxyWajGoySzFDADDG2NWWizwliSG5NU85GxFlg9vl7/Vccr\nidVmHhN9jZVXObpcBtCwDdJ2HD/aDAAkDwNC85u2VVC5R+MQALfL5FXTOwEZx9b7J7//2UT/RhTq\na6zFSS9K5ABkwkIheYatxSJNdjXpd55IAEDfa+WRQP/Dm75ZMmmYuwWvlQ5cZKVP7mWRf1/GPqJm\nzGsAt4MbaQuUPgoMzVURGrKKooqmvuGc4MDH5fUNoEIikijA7dizAwCgPCY0RSkSalLD7hQDAMxd\nrHkMhraVC9nl5fRZ5385jHRqcfHYMrL1IUztDClZqimGo3a6qNDatKuG8Zq6QQUq6dJYHWN36O8q\nAIDMqMQKuaIyOSINALSd+9vU2mA1lc/SwqirmQDA6eplowVwLL266wBA/q2b6gxzy4siAx6IAcBi\n6LAOHMLAfXQ3AgAyLoVkqa0jMbX0yfk3osrGGlqLNGg33vg7pVIWKshrKskeC4/f2qblXaCoeHD0\nryQ5ALCsBk+f99l8X7f6sXSCgUYfBiHoM8GbDwAV4aejm+66U7nnLUBA22WOXydAkZ4oc/1wwkfj\nJ0wYZEca4XXtBk/wHeKg14ZLoi3D1DXSJv9Vl1Sr3XZLxbVfm7zxJywvurHhh5MPS8kjvrXLoAkz\nV24/eGrvDGf91pSVJPf+3fQqsbgmLzoysxW9Mba2HjkwU1lYKqLS3pTnvTrXisHW1SEladXLyrqr\niqqXleRlnj6XQXD52q8Ll6PNoSSSKIajdrqo0Nq0q97/mrpBBSrp0lQdY5u59yVnk1nOPX7+StjF\n4ytIw7HAvV97DvX4UEKSezs8BwD0Xfp14LDNeynHaiPDM9SaWC8viz4bUQEAZkOG2Fj0GunIAIDE\nCzey1Z+gr5BJlZPAWMwWbiVptt2g9J0WnP5s6Mhh3vW/WX/WJp5KWajAYLLIkpZJZG16s2xxmv+y\npbuCHuVUAoCiIjP6xM8H4hQAoKgsrWkoSpkm3pPdOQDw8uqpJ00vM6Nyz9uABQbBYQFgWA6b8VnD\na5wuvvO7ZP/xMCyR9sKiPhwzZ1uyhgvTs171/PFGyIpj/lg67aRFlx5uzi5u7h4DnM3Z4HabvOqT\nO7P2Ple78y5O+m36hN/I/9puasdGUlUhAriAjjGfw0DL/X+F7FVTgUJSUSkFWIC2sTYTIBsQhrYx\naS1VVJeLFHKiQmldLAn5euXRF41bRnlVqWralZKKwWA0EtFyMaVw1E4XFVqbdk28Wwm1dGmkjhGG\nLv2bWStp2s/d9OCLLKkm81mSExGWO22KOUw93MzP1/TtAABFt8PUHfNTVMadvVo8aJwhTAdPnVba\njQFA9jjwTnNzoV+HTJhXDvABPRNdKtK4cbuhV3/pzb5TSmWher+uCfluYV5ZG2//5RXPL25fdXF7\n7THHYZE/AwBeJuc2HCfjWA4fR3pLSQ0638ykcyr3vBVorfftwDb/YIYPuQpN9PR2mmat/wyCAUBe\nlZMQeeHU/h+/mjVtdyIAwKS77XuwY4iyHmYCAFg9xg80UzEUs3SN9SjPcBZlPsgGAOi7D7ZWLqzj\nWg7wJE1OubGp1QpFZdpjcqarQTd7TllBYWH9r6iSI9CSq3ThFTVCUuIy+cY6DTOFYjjU06WQS2vn\nIrFak/8U0t6KUJt9G5V0aaSOEXzn/qTpPzNw79YN27Zu2LZ1w56z6QAAy349jAjK8QFAIZ/FWbfC\nCsjA+/UfYAMApVHXXvn8Wi4vUUrQ5RwAEHiMsgIA8YOzUcWtkUmSoufk+7U7WPJblMZvr92gVhYq\n9+u0txIAgDQr/mUbX7FPMFUjzzTxnjLcEADK70c2dPrB6zJhpAUAyB77X89p2tJP5Z63AwuVkV+M\nHKZ6itt1qf+OUQa0O8zWwHf1W7iiSmDr0tfRmNTH8s+djC3XqKWD3XHSrtUuKVcvhd5PyCiqkutY\n9ulhBgCQCYVijb6K4BpZtNNhAmDo1frRZgksOllKJQAUNS+z8qvkssJw/5jZq3tywHJesWuL3emr\nsbliHfMu/YYO4h2duzT8lYmaTSLNu3728ZwvurNgOH7t2po/Q5Lk1qNm+JkBgDz+3PVsCYCM4ODU\nqTOtgU6zt24x8b8YmVosZeub2/bw+mCou+jgtMVn6uahSIqSsiSwYAN2U+eNzP37aVGNHIqagqyC\narmEUjjU0yWrfFlKzsmzHjm+X/KVjEqpQiEpzcstp1YclNL+TstLI3WModNlsAMBANnXz16+ppyD\nxkowHDN2oSVgO9BRPzi/VI3603I+SzJuRBZN9jWC/dRZIACU3QtNeWUmG4XyEmdcPZc8ZWHtdPTK\n2+diqdXjV6hOufVc3t+JQMeeNtrn8oRN3tRsu6HuqqLGs6kBae7Nk5dTqqmVRf1j3E4enQAAqRFJ\nlW3aTA09z027J1XeCn+YmidktnMZNnGssxYApAWebOhtSeA6cagAAKoi/45oumvVwj2EwGW8T09D\nJsBu14VcZKzffcL02YUyQJoXHngp8Q3yit4oQrMwOnqO6lh/KIw+sOZgksaduzL5nVx9Zrv6zG54\nuvRGwBPNfjdc5wX7tns1dABjNHL9npHk3/htkxaFlsjlRaE7t7pv+264GaDv7DvL2bf23jg1lr/K\n8kO3/dRz1zdeBtB3m7q43gxXHrV7QzDZRZVknNmw0/Hnpb30oOfoM8fRRzWAtAbBKYSPA26V9x6s\nD5gM/XzzUPLs0w0+X4aVKaiFQzldior4awkyF0cmCNvJ3+6cDKCh0w9NpJ0KGiwvDdQxLesB3TkA\nUPrkUf2qHmlhbGwRLI3AdBhsr309ukKj+SxODYso9vUxBIcDABXR15Nf9ZpApbyk+eEBcfNXOREA\nUBZ+Jr61Y4fykvuX42RO3Zlspw9ste/ENrk0SmPtxiuzqYFnmWevpCgolkUtXKsBrjoAEH85+mUb\nt1KDwWvXpc/ELoNVzwmjtm8ISFPtxTKNB/j14QJA0ZXAR00rSC3dwxK4TJgyyUL1FNtm2AQbAEBy\n/uXgNxHGtJn6bSAV5idHhxxe+9mMr881djD75siK7h45fvHW04xCoYj8TKTlWY9CD329dOfd8vfz\n3chehm9etGCd/634/CoyBqLi1OiL+w+q1TmQ5IVsnr9ob9C9jDIpAMjKs2LPH1g5Y/2let/64owz\nP3y68Oe/wxJyhcoRPKkw//ndkKNb9t9u4AZQIYzes3LzhUdZlU29i1o4VNMlKwje9P0ftxJr71If\nKmnXHC2mSxN1jGPp6aYHAJKke6qjtuKMewnVAMDt4WXDoxaf2ni3nM+i1JsRpbUHVTGXm/RgRKW8\n5CVRwfHk2wuvX0xsvSMkeXGU/w0hAF3PUU6v9c7y9toNNcoCAKDlMNzLEEDN3b8aflVtEVHG1eCY\nlCJyqpaiqiDpVuCOhXPWBjWc+s5uP2xiVwYAZF0MTG66o0PlnrcHo7t773f8ShoaGpq2DoPfb/WR\njf14QPbhBfMPvZHjB3Ynv11HZ9tB+njTzK9CqDmmeY8QAq8Nh/7PUwsZJ+bPPpralj1T/5ugNWMa\nGhqaOpg6JhYdO9r2HP35yn48APKE05fUX17cEEnGxV/88wFW9xk+Nm3ZuSQAgNNxxAxPLaDo0o4z\n/6H9PN479JgxDQ0NTS1M01E/Hv7cqu445/T/QjXgfqo68fAP2yq9O3IqjQ1Yye/Kp1OrYOqZiSKO\n+9/Kiwx89O4W2dLQwpiGhoamKcT5sWf/t+P3eI0sLFNUpV75M1UDAb11ZEXRZw5Hv+9Y/Aehx4xp\naGhoaGjeM/SYMQ0NDQ0NzXuGFsY0NDQ0NDTvGVoY09DQ0NDQvGdoYUxDQ0NDQ/OeoWdT09DQvBlM\nw16TFs0Z2cuh1h+28NoKv+1P3rUHIxqafzIsACwLv4MH51m9ejHn6IwFR9Pa+I4dNDQ0GkbHc9Pp\nTS51ZjNxWV5aQmxE8Lmg8LRXdwMlDPou3/hJ77bgy4LQtRs6adr4AW5dTHkMiErzc1Ljo27cCL0W\nk67hXSckCb4AACAASURBVEwBAOwOkw/+/qklgOc7/ZZeKnxrnrXecbr+cTAFTr7Tp4/r59RJnwVU\n5ydGBf99+HhkjnLfD4b+oJ8C1jo2/WxR0OLJ+5/V+zbhOCw7vHusAQCgInTp9C0PlZ5QGfoe605/\n35sDlF1ePnFnnKjugYVHfvUxBOSPtk5ZeqOk1QVCa8Y0NDSvh8NvZ+8xwt5jhF/0gRVrghq5TeZY\nenQjJXGq/5qNN/JECoWsIu/d7/ZG6Lst2bl5nHndCa7AzNrVzNp1kFPZR8tvNr1d0j+Af2u6NAUh\n8Phyz48jjepO8MwcBs5c4+lyYOGX5zLV9SDGsfDobVB7oOsyoBPnoVJSKypS7rxAbweA37WbCStO\nuf8z06CbE7nXaWbkM+GbdI1UhbHsxbXTtwvrFWFZcWxpW/cRTkND8/ZQZN4Jia0W2Lp4dDNiAHq9\nF6yb/Wzu3oY702nxuQCA0idRsUnp72vPVY6l72KlxMq/e+pCVGoFS2DR2c3Tu5dFC0+2bf6t6dIU\nHPuPFpOSOP/Gvm3n4qrNBixYMdmJw3H5dEH/W2tCi+VQ1LwI+fPIYxVhx9DpPGJsXwEA8fMnqv7Q\nWCZunhYAIJeCYMGoT28LzjOlT1B5aXx0LhzMgfZuttp/Z5GbOvGse5P7bRU9fPjyjTyrqQpjYdyl\nowfp/YtpaGiUlD0M2Lc9QQS2+cjVB1b14QFmvpNdj/0QWaaAds8fz633ULFOC3x2nCc3o6wbM9bp\nvfH8D+5MoODsN1tfDl/w0QA7fUKYFnZk166AxIo6NYLQthkyZbqft5u9iRYDclH5y8yUuOjQo4dC\ns6lqNgxtW9f2AICcI2vXH6z1qXzi0O52jk7MhsPXBM/S22+q38BeXS10mRCV5r54GB4ccPZqXK3y\nwbGa+ef+qRYAErZ+vJ894dNJw3pY6DBklXkPjqz94WSBw5qj24boqITYeWnAxaXkX3IrRqbj0r+2\njTIAkLJ/yhdncsiACcMhG4+v6cEEam6tnbYmStiyby/K6Xp9nE9VDdl7ZGk3AHknZs07/EK5n3H7\nyXsOLbQEkLZ/9mcna/fqbDF/2hBs8z59TACgOnzb3rPRlcCz9C3tPI/O6gROTx8XwY3rxXKI068d\nP6jyEGEw+KcJAIDymycfqGzjTPBdvKwAID3QX+I3zQ7t+7qZnEjLJtMtybv3tHy6uT6YNu7tOWHl\nIgAcc1c7NgDUJEarrYY3RHU2tWD42lM3g6+EXTzz109fTetp0hYGgWhoaN4/ktzQP8/lAQC43fpb\ncdUOwMDzy61zBtrpEwD0rLwX/bjIvW43QbbVlM37Vvt5djHRYgAAwdU3tXMdPHW4lTpNkFwqJhtV\nAzsbAbvutEKcF/cgW2XiC9PQc/me39dOHeRkocsEAK7AvOugScsX9tBtYntD89Ebdywb52KhwwDA\n1GnXxVKX0gqU6qTzl/IBALYjB5gpdR5C4DbGiQkAwtuBTyhIYnXS9fo4y4tjrjwHALTzcDNiKuPD\nd/K2BABkXL9TqJTE6uXPe4ep104XAFCeXaSUhZLS7DIAAGHtYt5UFWKZe/u5swEgL+TMU5UNphl6\njoM6A0D+/dvhUTkAYNW/u6CuxEXpkUkSABA4dzViAQBh0MXZBAAUzyNftH6bTTJaqgdcfR4AEDoW\nTkPmrfdy/23J1/SuHTQ0NIA4/0myeHI7DqDXsYMO8ahGXvN016fzDxLguXyxc3k3Aqi4ufXrP1LE\nQBNjxmxT3YSgPadTDEbMm+auA+h5+dj/Eh1TBYBr5+vXmQBQFfPbN/uupQgJfTOb7n0GDzWXqOEU\nWlEZfz1O2qM7CzzPL4+dHHnlXMjlq3ee5lY3HMUjjAYu/WYMaeAVxgUFXH2UJ9Y2t+87ZBCvyZcJ\nunVCWVxoSMTzlxKehZOHs1gB1Dzbu2TOERaDbT5q49pxZgAyji7bFF4kB6CQlOZJAEjSgy+kTZtt\nBViN6m9x2j9DAsLAbWR3JgAU3zyvKgM0kK4W4yx7GXX9BTrbAFbejvzAvGI5GHoO3p0BAFlhkbmS\nVuXPe0cuqiBFlFE3W30ipUgOcDs4KwfY+e1NtRhPG+8Mzbb8cKwdACA5IKTB1pjadt5OLABVT2NS\n00SPy6ZZ8Bn2gx30QiLKFACgEKZEpsLdHujoZq19JqdcwbNy6wQAyLzz7E03k1cKY1FZ5r3oqLj0\nvBIZv3PfD8d0NwS03OZ9+1HMomMZ9HRqGpr/PLKK4iqAA4BnoM1EkVxeU5SZUQRom1fJAQKQludl\npGc0M871bN/3v17Kl7OTjAce+aQ9wDVvr8+MqZIBTB6ftPhKq8tLSsqF1XKhsDg7+X6wmvErCN24\nxmrt/41z4AHGTsNmOw2bjZK4kOP7Dl14WttOMk28pvTiAoAsbtfSrwNzyMYtNCjgqBGvyQ0hioK+\nm/9zjPL5v/3ZXJYUCkVxTkYxwJaXKO3EoqLMjPSGs6ml2WFn4mYtcyJgOWxgh8AjqTKD3iMcCQDI\nCw5OoTwcSCldLccZioLo0LT5NlYgHPrb64TeFULLzqsrGwByb9xRymL18+d9I8mNSar5yFgLrB5f\nr/+q45XEajOPib7GyqscXS4DaBhvbcfxo80AQPIwILTB/lla1v2deQDkyRGpIpEsMkEywoPNdvK2\n40XEkH0neXFcdD7szcCycevAiYiXm/e04wBASWxswZtuxUUAkOYFfT519sodvx0+HXTu7NFt38z7\nMqQIAGA1ZnBH2lhNQ0OjikL9Vrk46UWJHIBMWKic/svWYpFmz5r0O08kAKDvtfJIoP/hTd8smTTM\n3YKntkMiWfGd35aOn7tm74X7GUqLoYHTiM/37VvpbaQMjNvBjbTLSh8FhuaqqBmyiqKKpgZEc4ID\nH6tIPIVERFldlxdFBjwQA4DF0GEdOISB++huBABkXApRa4NkCumiEmdpYdTVTADgdPWy0QI4ll7d\ndQAg/9bN2qF5tfPnvaOoeHD0ryQ5ALCsBk+f99l8XzfDuqsEA41s64SgzwRvPgBUhJ+ObrAOid2h\nv6sAADKjEivkisrkiDQA0Hbub1M3LiPJvRdXAQAGTo4GTEJg38MEAEQJ0elvbEMmAEAuFqvGSV4e\ne/FGAQDAtIsZLYxpaGjA1DXSJv9Vl1Sr3S5LxbV6g7yxMJMX3djww8mHpeQR39pl0ISZK7cfPLV3\nhrO+2gJZXpUVdWrvt59MHD/9+4NhhQAAoyHLP+5KuiNha+uRDVplYamIilQtzytrtQySl0WfjagA\nALMhQ2wseo10ZABA4oUbTY/1vjas16eLUpwlubfDcwBA36VfBw7bvFdvQwAojAyvs36qnT9tAHGa\n/7Klu4Ie5VQCgKIiM/rEzwfiSLNyZWlNQ9sB08R7sjsHAF5ePfWkwXbNbDP3vqYAAMu5x89fCbt4\nfAVpxBe492tfJwZFqZFJUgBo38tKm9eplxUAIDky+Q0HjNGsO0xGbXeiFX1gGhqafx0cM2dbskUS\npmdp2NOErDjmj6XTxk5Z/v1Ph86EPiE1Mm63yas+sW2tLiCrSI/2X7/uNKlUCJxdzNgAIKmqIO3D\nOsZ8DpX5SArZGzSBisq4s1eLAcB08NRpvt0YAGSPA+8Utl7HbCZdDV/bXJwlORFhuQBg6uFm3q5H\n3w4AUHQ7rF6pUzt/2gTyiucXt6+aOWrkMO+Rwz+c992hDHMLBgC8TM6tbrQmfvg4BwBAatD55Aa6\nLGHo0t+y6fBN+7mb1s6uUlQ8j0wDAE5nVyvrHp21gDdfYayMAcDg6GoxG5zTcx4+kOwi5CXm0RO4\naGj+67DNP5jh0w4AIHp6O02z6x8ZBAOAvConIfLCqf0/fjVr2u5EAIBJd1s9yrqxtqPflEGW2qr3\nM8iQASiU4kmU9TATAMDqMX6gmcr0VZausZ7aHpAUcqmyqSdYTcdTlBJ0OQcABB6jrABA/OBsVLFa\n7TaldFFEnHUrrAAALPv16z/ABgBKo66pFKdm8+ddQTBVc4dp4j1luCEAlN+PbLjaiNdlwkgLAJA9\n9r+e02CMl+A797cFAGQG7t26YdvWDdu2bthzNh0AYNmvR92AgKwkLiofAAy79+nrZgoApY8eFGhg\nZhUL0Or+xZEfOiXdepCUmV9SzTLq3GfYKCfSnUnyOerr/GhoaP5t8F39Fq6oEti69HU0Jtv//HMn\nY8s1ai9jd5y0a7VLytVLofcTMoqq5DqWfXqYAQBkQqGY6qsYLFOPWWtnzypOvB324GlqQQX49oPH\njzEBAJQnxpHejGSF4f4xs1f35IDlvGLXFrvTV2NzxTrmXfoNHcQ7OndpeJlaKZNVviwl565Zjxzf\nL/lKRqVUoZCU5uWW10VbnHH1XPKUhXbKw8rb52LVewe1dFFFknEjsmiyrxHsp84CAaDsXmiKymJl\nzebPO0LPc9PuSZW3wh+m5gmZ7VyGTRzrrAUAaYEnG3qnEbhOHCoAgKrIvyMadokYOl0GOxAAkH39\n7OVr6cp12AmGY8YutARsBzrqB+eTC5Il2ffiK6aZ6cLKdzwAQPwsSiOubsjODle3U6+RnXo1vFQa\nsXtjoPqDGzQ0NP8WGB09R3WsPxRGH1hzMEnjG0Aw+Z1cfWa7+sxueLr0RsCTSqqtf+19hg5e4xy8\nGlyquLvvaLxySE9eFLpzq/u274abAfrOvrOcfWvvilPfKquoiL+WIHNxZIKwnfztzskAap1+1Okw\n0vzwgLj5q5wIACgLPxNfoZ48o5guqohTwyKKfX0MweEAQEX09YaDnRrNn3cFg9euS5+JXQarnhNG\nbd8Q0GBjBabxAL8+XAAouhL4qFGHUst6QHcOAJQ+eZRX95S0MDa2CJZGYDoMtte+Hl0BABClRibL\nBrkwwSUnUSTfSaa4Tu31EIAk87r/+cin6cXK0QJ5ZX58xKnNX8z+LlitOX80NDT/SqTC/OTokMNr\nP5vx9bm0xqs23xhZ0d0jxy/eeppRKBSR2oq0POtR6KGvl+68q8bSzfLb6xas/vXM7aS8cqX9UVqe\n/+z2uV8Wz/sxWGXZiexl+OZFC9b534rPryJDFxWnRl/cf5C64K8PqyB40/d/3EqsDakp5CVRwfFk\nyIXXLyaqPc+HarooIkq9GVFae1AVc/l54whpMn/eDaKMq8ExKUXkVC1FVUHSrcAdC+esDWoovtjt\nh03sygCArIuByY06lBxLTzc9AJAk3VOdFi3OuJdQDQDcHl42POVJhfD5nbT6e7LvJr7pCmMSRnf3\n3poIh4aGhobmFRj8fquPbOzHA7IPL5h/6M1XwND8S2mzY/I0NDQ0/1yYOiZmhlo8U5fJK/vxAMgT\nTl+iTY00zUMLYxoaGhpNwzQd9ePhz63qjnNO/y+0oE26zaBpI9DCmIaGhuYtIs6PPfu/Hb/Ht0l3\nkjRtBnrMmIaGhoaG5j2jtrs5GhoaGhoaGs1CC2MaGhoaGpr3DC2MaWhoaGho3jO0MKahoaGhoXnP\n0MKYhobmn4e22/dXgq+EBV+5sMK5iW0EqcDQdl5wLCz4Stgev46v7n30n4Vp5rMtOCz4ypkv3Khv\n00Hz5tQvbSL07IZOmDx2oJuDmS4BaWVh+tN7wb/97/xzekI+zT8I7d5bTq73YAOV17/4ZHMs6eyP\n67jyz5/H8AE8Xu238nYlABC6dkMnTRs/wK2LKY8BUWl+Tmp81I0boddi0tXaIVBT4bxTCN3OH3wy\nZ9xAV2sDLiSl6Y9uBB05FJJY9pYiTOjYDvCb9uFAd4f2fBbk1cWZKQ9CTvx+8mHJe8whju2kVb6m\nQPnlgyFZde6INVp/KNUNimXRYh6+NhyO1cw/90+1AAAkH5g+71yeDITJiJ0BX5A7ChYFLp2x65kY\nAGT5Vw9enLnDx2jE8hlX5uxJ0Lgrcs3DFDj5Tp8+rp9TJ30WUJ2fGBX89+HjkTnK/ToY+oN+Cljr\n2PSzRUGLJ+9/JoaO56bTm1ya633U58/b+96VwphtNmT1z18NMqg/r2Ni23vUsLATF2hhTPPvg9B3\nW7Jz8zjzuhNcgZm1q5m16yCnso+W3xS+63DeKYR+z3k7d/h2qD1mCyzdxy129+z8f/N/uat58cg2\nH/Hljm/6G9W/n2do6TRksvelwIcl762lJ0yGzpvYAUD2uRNxam7eQK3cKdUNimXRYh6qU6a2/Z35\n5/OKFfpO3nZoiurngSdTfRZZm/rNG3Z6ZVBu2/ZVQgg8vtzz48j6vOGZOQycucbT5cDCL89latbn\n2Vv93lkAwLLw/WblIAMA8qy7Z4IikwrEbH3jDg723Jdq+yGnoWn7cCx9Fyu/qPy7py5EpVawBBad\n3Ty9e1m8l3DeKTyH6d8qW21xWlT4M4Wtt4e1FmA2YsX8W7O2PFBbMr0WjrXf2jopUpF2LyqpWGFo\n18vdVpMvaUW0rMZ84swCkHz+WqbaW9NRKXdKdYNaWbSchy2Goxp7hr23o+61W3L7Dxyacfokzbt+\nNu6zZU4Mh8l+tiG/JLVlL54c+48Wk5I4/8a+befiqs0GLFgx2YnDcfl0Qf9ba0KL5VDUvAj588hj\nlcQydDqPGNtXAED8/Em+FAAkGVeOHElQHa5gGbuPG9WZAwCSrJRS2dv+3lkAOLZjp3YhAGT6L537\nZ2KdJnxOA+HT0LQ9GNq2ru0BADlH1q4/WLvf3YlDu9s5OjGpK2uUwuE4LDzyq48hILu3bkGA/dzF\nPr078GQlKbdO/brv5JPSeqWFKXAe+fH0D71crAw5QE3Ri9iIC0dPBMeVNVBMCJ6lt99Uv4G9ulro\nMiEqzX3xMDw44OzVuFKK+ouu87ihxgCArL+Wzj2SLAbnryl7D0+3BPgfjHc58PB2qYJynFvMId0e\nM/ysAQDypGNLvziRWKUAALZR98EOxXKA02WR/05fw7KwX6/p+41zNRTG/b374AuPJUuGWmtXpl7a\n+/2OG+SOdoRel9GfzZ80pKsJR5QbfXb/nnjKkWgCrt3IYeYAkHb5XqHaih+VcqdUN6iURct5SCWc\nuj3+ytKEfCunwba8+5IB3bVQnV3Ma2/4SgrlxQ+uJsKpK4yHju7yvx1P1N5r6p3BNu/TxwQAqsO3\n7T0bXQk8S9/SzvPorE7g9PRxEdy4XiyHOP3a8YMqDxEGg3+aAAAov3nyAVmfxVk3ThxsELDPNj8O\nAKA6cvfW4HwZGHqaaTeagQDYFr16GwFA+q2ivt/tC7gRfCXsYuDR9Z8Ns9Rqu1tY0tC0HrlUTAoU\nAzsbQX1nWCHOi3ugzhbeaoXDtJ28ecuk3h14AJgGtgPnb9n8iTVHeZFtMXr173sW+fS2MiRPaRnZ\nePgs2fvr6uGm9T16pqHn8j2/r506yMlClwkAXIF510GTli/soUv1U+W079uV3Asu41Io2ZyIM65f\nSiYv2ntacinHmQJc60Hu5KavxRd3nVZKEQCSoseXI3LqFS6+9/wJrkYEGHynj9b8vGqotTYAHetR\ni2Z15wEAp+P4Lds+H9XVhAOAa9570o87p9tz0VrYHb17GwJA4f3YwlZY/6iUO4V7qJVFy3moRpkq\ncmIelUHbxcve3tONj5q4qAxRkyksi7+TDQD8nt7qFPg7h6nXThcAUJ5dpKxPktLsMgAAYe1i3lTc\nWebefu5sAMgLOfO0yb2I2ZYTV33mwgaA4mubNl8ne2yaajeahgDYZp3JTpXl1M+meFnpEwAI3U49\nx67etXaMGe28muZfh6Iy/nqcFAB4nl8eO/nTyukfOJvz1J85qmY4hp31nl3cv2HHb5fSZADAsJk2\nu4+AAMBqP2rVir58AJWP/Td+u2T+8m83n46rBsD3WrHE24gMkjAauPSbMaRBTBgXdOjndZu2bD98\n5k5WqYS6ZVnL1IZUhCQ5z0uUckhWnpZJ6j56HdvrNIh/83GmAtPA2kYPAFATH/HidaqD4tnhr5b+\nkUA2dVkB3y3eGyMCoGPvZMIGQ6/nzOmOZFNUcOfo/l9+u5qiZ2tCMRKvQvA7u5gCgCzraV4r2lAq\n5U7lHkplQSEP1SlTUfqdBAkM+4z362cMRfLt1GaUXklBQroIAAydHATMlvPkfSEXVZAy2KibrT6Z\nTG4HZ+WgLr+9aRMKJdvyw7HkYHlyQEiTW1pqdZn83Xx7AgByz3x/IEppC9JUu9EMBBhcfb263kPp\n3RPb1mzc/XeCCAC4bnOmduU1/zANzT8TWUHoxjVnlBu9GzsNm71y+8nAv/Z+4eOor9anpV44ktid\n3+w7c+VqwLbv9ycoAIDr9IG9FsDuMMLXgQAgjtq84Y/LDxMTE+4H/7H5QAoAcF0/dOMTAJgmXlN6\ncQFAFrdr6dfbTwVfCw8N8t//zYJP11Ee6CW4ejyyeaopr6kzN8uqy5StvJaA2yDmzcaZEkwdQx3y\nX1le+Ws10IL79+Ljou7lAED547uPn96LzgQAvXZ6TGhZD+lBvjL99zUb/xd0/vjO7zbHtH4gk2Vo\nReofZdnFTeqFLUGl3Fu+h1pZtJyHapWpvCr5Vgpg5DHAFMiIjC9vbsxBVpJZCgAwtDVuwyqZJDcm\nqQYAWD2+Xv/V7HFjpy74YYOvsfIqR5f7ijDWdhw/2gwAJA8DQvNfzVGGtuPMtVMtAUCRcnD9H48r\n674tTbUbTUMAirrSqLi5Zd2xK+G3LuzbsPuRHAD4PXq1p1fg0fz7kBXf+W3p+Llr9l64n6HUDQyc\nRny+b9/KWj1U8+Gk3FQuQ5EVP7iVCQDgWljqMxnaVi5kV57TZ53/5bDgK2HBV8IuHltGTtAhTO0M\nWQC4HdwsAQDSR4GhuSoKnayiqEL9Ca/UpHdzcVb7dS0gFUkVCmkNOZWmRiqv/c/hsUHoduhIyqO8\n23dyxQAgL3lw/XmrX8bU0idlu6iyppWz1aiUO/W6oakpc1TCkZU+uZdF/n0Z+6h5I728ppIU5jy+\n5pQ/zaOoeHD0ryQ5ALCsBk+f99l8X7f6MXCCgUbCmBD0meDNB4CK8NPRr64dIPTcPvtmvAUAiGP3\nrfvrRcPemqbajaYgoJBUVSm/5KyHqeSAhLz8eWweAEC/nX4b7hXR0LzK61okhepFeVVW1Km9334y\ncfz07w+GFQIAjIYs/7irmk4kKIYjryyt1Vvk1UXKkSq2DpcguHzt14XP0eYwALC1lSasysJSUWub\nb7lIqJyhydPXqms9mDy+Mq41pSLV9qnZOFN7m6yyuJL8x29lQ8JgEQyCraMc9KwsrlS2VfKaMmGr\nlFoAUMikZDAEq4lehUbrz+vuoVYWLeehmmUqyb1/N71KLK7Ji47MbD4PGUwWGZZMImvTq1vFaf7L\nlu4KepRTCQCKiszoEz8fiFMAgKK++iphmnhPducAwMurp568Yk8iDPot+maMEQBU3Nm+LjinqUEM\nTbUbjWEBkpLMEvQ0bvq6tI0XBA1NQxQ1lWKADTA59TYdgqlFtrriStGrZjlZRXq0//p1gq67J5gC\nAmcXM/bT9FYMJbYQDqFryCNQKQdAaBspTY+SSpFcLq5QGhRLQr5eefRF41fLq0rFACRVFSKAC+gY\n8zkMtFKnqyl4UQwXI4Bt3tmAFV0lBcDUs+xIDkcJM7MbeC5oNs7UXiYrTXtRARtdQKubp43Wg7hW\nzTiVSyqVMoNnoM0E5AAYXH3dVk/gkgnzygE+oGei21gav6X60+Q91Mqi5TykEo5e/e3ipN+mT/iN\n/K/t1lwmEbom5DPCvLflC0ZTyCueX9y+6uL22mOOwyJ/BgC8TM5t6CaDYzl8HOnlJDXofHLjgQ6m\n6aBl33rrA0BRyA+7wl6+3t6kqXajFgKQ5D5RquIdXG20GQBA6Hd2aQcyNYVvPEmMhubdISl+UQQA\n0HIc3I1058fQsRvgSk65LH7xUgpA29FvyiBLbVX9jsEglAYthYKymFMvHLtBPY0JAGCZuA/sCAAQ\n5aSXyxSVaY/zAQAG3ew5ZQWFhfW/okqOQEsuUwAQZT0k7cSsHuMHqs6sZOka61FWO8XZdxNI+5rl\niMGdOADA6TBwFDmhRZwUmd5QV2ouzhTfVvPi5j1SnzYc/cUEB+1amyHL0HmopwXFWbryiqxMUjm0\n6NfbhAUABL97Mw4rqCApep4mAgDtDpb8RtJYY/WHwj3UyqLlPFSzTClB6LS3EgCANCv+ZRuXAQRT\nNZeZJt5ThhsCQPn9yIZOP3hdJoy0AADZY//rOY0s9CzzUau/8NAGgKwTG/bfa2I0XVPtRtOwAIUw\n7kJUde8BPOgO/Or/8v4ITuN0953bgwCAF9fvFbRt9ys0NA2QFkTdzZ/XyQwwGLX+d8uIB5kKc3cv\nR9Ly8/JedI4EYLBMPWatnT2rOPF22IOnqQUV4NsPHj+GnJ5bnhhHtQOqZjhM52XblhudTmS6jPvY\nHgAgjrueVAPIM4KDU6fOtAY6zd66xcT/YmRqsZStb27bw+uDoe6ig9MWn6kCZIXh/jGzV/fkgOW8\nYtcWu9NXY3PFOuZd+g0dxDs6d2l4GbW2oOLJuWvFXmMMgU5Td/1qG54kt/Hua0VG+eaZh41CaTbO\n1FBUxP4ZkDZouhVA2H+8++9+0XeTihUGtj17d2ZeXn7rTg4lnasm9dqjmiGeWoD1wh+WM089qLH9\ncH6fNzAKVqfcei7v70SgY08b7XN5qo6TNFV/KNUNSmXRYh5SCUftmT/cTh6dAACpEUmVbds6que5\nafekylvhD1PzhMx2LsMmjiW9lacFnkxUramEwHXiUAEAVEX+HVHcyH7dbtSKheRaJuSlcTymzvVQ\nvSzODPUPztRQu9EMLADy8vv7f7vf6wt3HgR9Ji/vU3tNkXbyp4vZtA8umn8U4hdn9l4Z+uMwAwCG\njv2G1LukLb+151SSCPWjgoYOXuMcvBo8XXF339F4qi4O1AynOOml5Qczl39Q93jKsYN3S+UAJBln\nNux0/HlpLz3oOfrMcfRRfSyt9o+8KHTnVvdt3w03A/SdfWc5+9ZeiVPHIUBV/JGN53tuG2MBcG36\npEqFzQAAIABJREFUDLWpPV9wdfv+h41H0ZqPM0XEqQFrN9vsWOVlCEDXuvcQa+WFMuphKIQxfx6N\n7zO3GxOMDkPmLx8CoDilUKvVq5vkJfcvx8mcujPZTh/Yat+JVV1qqqH6Q61uUCuLlvNQrTKlAtdq\ngKsOAMRfjn7Zxq3UYPDadekzsctg1XPCqO0bAtJUpSPTeIBfHy4AFF0JfFTeKFNYAluLWvNSOy+/\njxq/41HSmeAM5f83bTeagWlm0R6QC1NuhT6XGJhZtDPRYQOy8vT7IQd/2B5Yv8KchuYfgqImK/LG\nY6GOsZmxkUCLCUBanvk4/NS2zQcjlP5dRdlREc+KJFx9AwFfl0sAkJbnP78X+tdPmw9GFFHvf1IJ\nh2nca9yYLjxA9mTfsp055k727fVYkuKkm4e2bP4rqfYDk5Ulhl+OzmfoCQyNDPXIoIT5KQ9vXzr+\n9/W4POUcS0VVesTViEwF38TExEiXzQBExakPrp88EhqXW025yVSIcmKu3S3kmLYzNxNoMSEty4i9\ncmzL2mMPa6UstThTRC5Mjgi+nS3XMzQyNtLjMiCvLs6IuxFwIfxJfg1h3HviCAcehA8vnH8id/D1\n7SlAdULI2egqm9Hj+xpDlnH97+u5UllZ4q2H5cbWtpZGPEKUH3Nu+/qr/JEDO7EA8YsrpyIL1NQZ\nFDWFJZ1GfGDD5bTjxgXdzhY3uKaR+kOtjrVcFi3noYJCOEyBy7jRznpAbpj/5fptMcA2Hzj5g04s\nVCeEnI0qqrOCajl9/MV4Oy3U3N29+1Jaq6cLviMYbEF7M0NDgTaLAUVVwfO7l//cvOmP2w1nirM7\njvt2lgsfQFbAxqMPGo+Ds4z7jh3p0PxC3vxw/+BMoYbajWaS0d299xsGQUND0zz1riWjv/f7Mrry\nfceHCv/EOKsLu5PfrqOz7SB9vGnmVyFFbV37e5cQAq8Nh/7PUwsZJ+bPPpralj1T/5towwvIaGho\naN4WkoyLv/jnA6zuM3xs2rLDx3cOp+OIGZ5aQNGlHWfSaEn8zqAXEdPQ0PwnqU48/MO2Su+OnEpj\nA1ZyE76Y/psw9cxEEcf9b+VFBj7S7A5eNK+FFsY0NDT/TRRVqVf+TH3fsWhryIqizxyOft+x+A9C\njxnT0NDQ0NC8Z+gxYxoaGhoamvcMLYxpaGhoaGjeM7QwpqGhoaGhec/QwpiGhoaGhuY9Q8+mpvn3\nwjTsNWnRnJG9HIyVfoyF11b4bX/Sqq2D/o3xoXlnMLSd5/+2x9cUKb99vCwgsy3vvMA089lyeIUj\nszhk1fRfHghpbyjvChYY+oN+Cljr2PTloqDFk/c/o9d907x9dDw3nd7kUmeqEZflpSXERgSfCwpP\nq2xVg0AY9F2+8ZPerfbnoNN74/kf3JvY8BaI2zzx8zCKGzNoLD7vGELXbuikaeMHuHUx5TEgKs3P\nSY2PunEj9FpMeuvKQwNwHJYd3j3WAABQEbp0+paHb+gO+F3BsZ20ytcUKL98METFGSWlOk+xHlIt\nrxbzUJZ/9eDFmTt8jEYsn3Flzp6Ef0BfkSlw8p0+fVw/p076LKA6PzEq+O/DxyNzxGTWqCXjXpM/\nHPvFf+zxMwLwdN3k5dfKFAAIPZfPd22dYA5AdH/vgm8uZLdaXNKaMU3bhMNvZ+8xwt5jhF/0gRVr\ngtLU376XY+nRjZR8qf5rNt7IEykUsoq8Vu9I/8a0tfi8DkLfbcnOzePM605wBWbWrmbWroOcyj5a\nflP4mkffIhwLj94GtQe6LgM6cR7+IzQFwmTovIkdAGSfOxH3Gj8ara/z1MuLSh5WPw88meqzyNrU\nb96w0yuDctv2xn2EwOPLPT+ONKo7wTNzGDhzjafLgYVfnstUt36oV8fY7UZ+9cMEcwDICfr+h0ut\nl8QAWFDUvAj588hjFanM0Ok8YmxfAQDx8ye0Xxqad4wi805IbLXA1sWjmxED0Ou9YN3sZ3P3Jqrb\nQye0+OT286VPomKT1N/TVZJ19Y+/nnFB6HUdM85FF0D100tnHpdIIc1OVb9v8MbxeYdwLH0XK1v2\n/LunLkSlVrAEFp3dPL17WbzHWLFM3DwtAEAuBcGCUZ/eFpxn/wB/jRyrMZ84swAkn7/WjIH6dXWe\nQj2kXl7U8lCad/1s3GfLnBgOk/1sQ35Jast5zLH/aDEpifNv7Nt2Lq7abMCCFZOdOByXTxf0v7Um\ntFiujoxTp44xtJ2mrfvKnQdAFLvnq/89aGIHZHVgAeL0a8cPqpwiDAb/NAEAUH7z5AN1dkujodEA\nZQ8D9m1PEIFtPnL1gVV9eICZ72TXYz9EKu1xTIHzyI+nf+jlYmXIAWqKXsRGXDh6IjiuTNmB1+75\n47n1HirWYIHPjvPkpoRqjdGKc24cOwKA2c6nD9kIvnwQ+MeJDNXmtM6EWHD2m60vhy/4aICdPiFM\nCzuya1dAYoVcnfhwrGb+uX+qBYCErR/vZ0/4dNKwHhY6DFll3oMja38I1Jrrv9PXsCzs12v6fuNc\nDYVxf+8++MJjyZKh1tqVqZf2fr/jRp6EWnxahqFt69oeAJBzZO36g7Vt0YlDu9s5OjFrAIDnuPSv\nbaMMAKTsn/LFmRwy7wnDIRuPr+nBBGpurZ22JkqoAAhtmyFTpvt5u9mbaDEgF5W/zEyJiw49eihU\nTTWC4Lt4WQFAeqC/xG+aHdr3dTM5kZatorexjHp9/NncCR5W+gxhamTggYtaX2yYZAEgYcvYFaEl\ntR0ogmfp7TfVb2Cvrha6TIhKc188DA8OOHs1rlRGPV2U4dqNHGYOAGmX7xU2o2S+rs63XA8plBf1\nPAQAyIsfXE2EU1cYDx3d5X87nrTd0QC2eZ8+JgBQHb5t79noSuBZ+pZ2nkdndQKnp4+L4Mb1Yjl1\nGUc1fwAGy2Tgyk2TLAEgL+jbTRfefB7Aq7OpWebefu5sAMgLOfO06pXrNDTvBklu6J/n8gAA3G79\nrUitkm0xevXvexb59LYyJMWblpGNh8+Svb+uHm76PsdcDDy/3DpnoJ0+AUDPynvRj4vc9dTZZFgV\n89Ebdywb52KhwwDA1GnXxVK39jvle8+f4GpEgMF3+mjNz6uGWmsD0LEetWhW94a7v71ZfORSMdlA\nGdjZCOr3pVeI8+IeZEsAoDrp/KV8AIDtyAFmypwnBG5jnJgAILwd+ESoAMC2mrJ532o/zy4mWgwA\nILj6pnaug6cOt1J37Jyh5zioMwDk378dHpUDAFb9uwvqWzBCz2XJ9g2zPK30CYChZ+05Y8t3I81f\nCYdp6Ll8z+9rpw5ystBlAgBXYN510KTlC3voMqinizrsjt69DQGg8H5sYUt2xibrfMu0XF4kLeZh\nfYhl8XeyAYDf09u6LU9zYOq10wUAlGcXKTshktJscqNnwtrFvKm4NyvjKOcPQ9t28saVXvoARA9/\n/u63+2+oFJPRbXyCbfnhWDsAQHJASHpbNk/Q/OsR5z9JJqugXscOOgTAaj9q1Yq+fACVj/03frtk\n/vJvN5+OqwbA91qxxNuIAICap7s+nT93+vwlO+LJL6Ti5tZF0+fPnT5/zoJDz96SdZhtqvssaM/6\nn4/fJ/cb1PPysVeKR7XjI+jWiVUWF+r/64G9e/48c/NZgbi++Vc8O/zV0j8SyICyAr5bvDdGBEDH\n3smErRrGa+LTMorK+OtxUgDgeX557ORPK6d/4GzOa9hWSNKDL6QBAKxG9bdgAwBh4DayOxMAim+e\nJ9s4rp2vX2cCQFXMb1/M/mj0R5OnLv5287FrMQUSde382nbeTiwAVU9jUtMePC4DwLAf7FDXxeB0\nGrPY1wwAUB5z4pet2089KOfpN+6AEEYDl34zhjTeCuOCDv28btOW7YfP3MkqVUaIWrqoQ/A7u5gC\ngCzraR4F5emVOk8BKuUFoOU8VEFSkECOpBg6OQianD3WNpCLKsjsMupmq08mmdvBWdkH47c31Xo1\nbc3LOMr5Yz/7+0/sCQDyuH0/Bb3RSHE9jZUJbcfxo80AQPIwIJQeL6Z5v8gqiqsADgCegTYT5e1H\n+DoQAMRRmzf8EV6uAJD4LIPrcmyZLbiuH7rxb1wtkctrijIzigBt8yo5QADS8ryM9Iy3PEb7bN/3\nv17Kl7OTjAce+aQ9wDVvr8+MqZIB6senKOi7+T/HKDvbf/uzuSwpbMhLBffvxcdJ7+V82rUDyh/f\nffz0ZftM9LSDXjs9JqDS2DcfHwrICkI3rrFa+3/jHHiAsdOw2U7DZqMkLuT4vkMXnirjJc0OOxM3\na5kTActhAzsEHkmVGfQe4UgAQF5wcAqZPCaPr0PeXV1eUlIurJYLhcXZyfeD1cpbANCy7u/MAyBP\njkgViWSRCZIRHmy2k7cdLyKmCgC73YDBHcncO7fux1/jqsG4k6F/aNcIA9VQmCZeU3pxAUAWt2vp\n14E5ZI6FBgUcNeJVKyinizosQytjAEBZdjGlZxvVeUobLVMpL7Schw3DLMksBcwAQ1tjFgra6iQu\nSW5MUs1Hxlpg9fh6/VcdryRWm3lM9DVWXuXochlAw35f8zKOev6wau0PhOPoARbXA7M0ISob9p4I\nQZ8J3nwAqAg/HV1CDxfTtBkUCjC0rVzILi+nzzr/y2HBV8KCr4RdPLbMFgBAmNoZvjdLdXHSixI5\nAJmwUDl1la3FaqWdOic48LGK2UshEdWrkVKRVKGQ1kgBQFIjldf+5/AaKMZvHB9Z8Z3flo6fu2bv\nhfsZygFDA6cRn+/bt1JpfwDkRZEBD8QAYDF0WAcOYeA+uhsBABmXQrKUukJN+p0nEgDQ91p5JND/\n8KZvlkwa5m7RlNb2etgd+rsKACAzKrFCrqhMjkgDAG3n/jbK8QtzJ1ItFj64llwNAIqqZzdiKhoG\nw+3gZgkAkD4KDM1V6bvIKooqZNTTRR2mlj65qFxUqfakPwX1ByiUV8t52AB5TSU52szjq19c7w5F\nxYOjfyXJAYBlNXj6vM/m+7oZ1l0lGGhU6V8j49TLH5CPMjrPWNjXQCMZ1CAQpon3ZHcOALy8euoJ\nvZUlzfuGqWukTf6rLqmWEVy+9uvu5mhzWjtM+8ZIxbV9Y/kbfzfleWVq6yEMFtEg7ZqIj7wqK+rU\n3m8/mTh++vcHwwoBAEZDln/cVemyRF4WfTaiAgDMhgyxseg10pEBAIkXbtSNU8qLbmz44eTDUvKI\nb+0yaMLMldsPnto7w1lfnQaMbebe1xQAYDn3+PkrYRePr+gMABC492vPAcBg6+iQPbHKwsra3JNV\nFDUSxmxtPY7yrlJRcxlDIV3UUcikyklgLGrG3oZ1Xp1XtVBeLeZhQxhMFllCMomsTYsCcZr/sqW7\ngh7lVAKAoiIz+sTPB+IUAKCoLK1pqFK+RsaplT/lt7fMWXutDAB4XvOnOvI00PKoahIcy+HjHAAA\nqUHnk+nhYpr3DcfM2Zb8CoTpWZVyuVaFcmZoScjXK4++aNwyyqtK/xW1ViFTQyV6B8gq0qP9168T\ndN09wRQQOLuYsZ+mSwAoKuPOXi0eNM4QpoOnTivtxgAgexx4R3XOsKw45o+l005adOnh5uzi5u4x\nwNmcDW63yas+uTNr73OK5UUYuvS3bPqSaT9304MvsqSyqhpyEIBnUKfIEdoGjXpvkqoKEcAFdIz5\nHAaa0VWppIsqMmFeOcAH9Ex0qUjjRnVe/Rc2V14U8rDBSULXRI+MR15ZG7eRyiueX9y+6uL22mOO\nwyJ/BgC8TM6tblDEr5FxauXPs/0HbqSUxv0vbuAKJxaMfJeOPr/g74w3nE+t0jvldZkw0gIAZI/9\nr+fQw8U07xm2+QczfNoBAERPb6eJoKhMe0zOdDXoZs8pKygsrP8VVXIEWvK23YX/56Dt6DdlkKW2\nqu7KYNSq3gqVroIoJehyDgAIPEZZAYD4wdmoYpW2m3xKXpWTEHnh1P4fv5o1bXciAMCku60eVd2Y\n4Dv3J4ciMgP3bt2wbeuGbVs37DmbDgCw7NfDiABEBUmkLsjv2a8jKc241p6u+g1DEmU9zAQAsHqM\nH2imooqwdI31VA5bTBdlJEXP00QAoN3Bkt+iNH6lzlODQnlRyUNVCJ32VgIAkGbFv2zL3jsBEEzV\nyDNNvKcMNwSA8vuRDZ1+vEbGqZc/UrFUAVl+yK8BWQAAu2nzvBvnoNrU1T9C4DpxqAAAqiL/jmhV\ntaOh0QR8V7+FK6oEti59HY3J9iT/3MnYcgUgyQgOTp060xroNHvrFhP/i5GpxVK2vrltD68PhrqL\nDk5bfEaDa/E47YdMGWrJZRB6XUjrFUzc/eZwy2QQZ904dYlyS/nPg8Ey9Zi1dvas4sTbYQ+ephZU\ngG8/ePwYEwBAeWJcYX3jLM64ei55ykI75WHl7XOxqm5C2R0n7VrtknL1Uuj9hIyiKrmOZZ8e5NCu\nTCgUU+w6MXS6DHYgACD7+tnL19LJt7MSDMeMXWgJ2A501A/OL826cbtg6gRTwHTqd8uLf7ua1274\n4nEmjYKSFYb7x8xe3ZMDlvOKXVvsTl+NzRXrmHfpN3QQ7+jcpeF1cW8hXWpQnXLruby/E4GOPW20\nz+U17bys+TpPpR5SKC+GHpU8VGn2uZ08OgEAUiOSKtt2H1fPc9PuSZW3wh+m5gmZ7VyGTRzrrAUA\naYEnG3gKep2Mo1THXmlcxC8Cfrk5estAXXB7L5rqFLnn8ZtkVa0wZhoP8OvDBYCiK4GPytt25tP8\nq2F09BzVsf5QGH1gzcEk8qOSZJzZsNPx56W99KDn6DPH0Uf1uTQNx4PdfvCMSQ18Amt1HTG5KwDE\nvQgKTmt2zPEfT23CDB28xjl4NbhUcXff0XhVFxDS/PCAuPmrnAgAKAs/E99orgmT38nVZ7arz+yG\nryi9EfCEasOlZT2gOwcASp88ql8dJC2MjS2CpRGYDoPtta9HVyQH7LnywY/DBIDZ4M/XDAYASTXY\nDRd0yYtCd2513/bdcDNA39l3lrNv7ZW4hqN+LaWLMvKS+5fjZE7dmWynD2y178Q22V18TZ2nUA8p\nlBePWh7WPce1GuCqAwDxl6NftnXVjMFr16XPxC6DVc8Jo7ZvCEhTVelfK+Mo1bHYV94sL793+HDc\ngM+dCBiO+nxC0OdH3mA5sFKzZrcfNrErAwCyLgYm/wM8g9P825EK85OjQw6v/WzG1+dUnPSKM878\n8OnCn/8OS8gVyurufH435OiW/bdfttX1F/80ym+vW7D61zO3k/LKlbY8aXn+s9vnflk878fggoZD\nWPKSqOB4snwKr19MbOirSVZ098jxi7eeZhQKRcoVUeVZj0IPfb10512qfhI4lp5uegAgSbqn2tSJ\nM+4lVAMAt4eXDQ+Ql9796Yvvj0VlVCgAiPJiT6/fdClXGX1R3QiG7GX45kUL1vnfis+vImMgKk6N\nvrj/YKPOwWvTpQ7y4ij/G0IAup6jnF7reaWZOt8yLZYX1TysRcthuJchgJq7f7X9r0qUcTU4JqWI\nnKqlqCpIuhW4Y+GctUENp76/Vsapmz/1yPIv/xJIummx+niet8kb2KoZ3d17t/5pGhqa/zgMfr/V\nRzb24wHZhxfMP9SGHAUx+J4//L3GgwuUX1sxUd2tKjWZLnYnv11HZ9tB+njTzK9CKC0dfp8QAq8N\nh/7PUwsZJ+bPPpradkr03w29axMNDU0rYOqYmBlq8UxdJq/sxwMgTzh9Sf1luJpEy3HJxrlGCXdi\nknPyy2q0LNzHz/TgAoD46V3qPl/eRrokGRd/8R+9a5JZ9xk+NtcPtfGlKpyOI2Z4agH/z96Zx9WU\n/nH8c8/d2u9tX7VL2lVIJPs2lCWjyYxlMBg/+yzmN8wwM/gxGOZnmTHMIIxGQqRIqIRShJQWWrVo\n0V53O/f3x7mlEt1bGc3Peb+8Xrr3nvOc73m27/N8n+f5fssv7Dj9D4jD8X8DrYxpaGgUh6k34btD\n/zJv/lx46kDU23bTxFA1sRvW125Y62/JjKP7b8u9++oNvVfDo0MbttV59+LU6Wiysnq0b0Omur4g\n7lhQbPHNkHu0s4m/EVoZ09DQdAlhSfKZAzt+S214yz23+NmtiFjDgXa9DbVV2ADI2pL029fOHA6K\n7pyltVvfS1qffelwdjck9MaRlCecPpTwtqV4B6HXjGloaGhoaN4yPdjpKA0NDQ0NzbsBrYxpaGho\naGjeMrQypqGhoaGhecvQypiGhoaGhuYtQ++mppEPplb/GUvmj+9vqyMLoFdzebWfoo4UaGjeTRgq\njgv37/bVw+P9H64Mzu/JkReY+j5bDq22Z1ZErJn13zs1Pd1Dyf8PMmXMUDL1nv7RjJH9bfVVCEjr\nn2UmXg35PehadgNdFP9EVD03n9rs0mz2EFYV56Qlx4WfDY3J6VxUNkJz0KpNHw14OeqpgsmoWg31\nm/neMHdbYx4LZENF/uM7Ecd/O3H3ebfXM7aJ/8HfPjYDkLnTb8WF0rddkbsoD8d8zuF9AUYAgKxf\nZn1ytlgCQnfczuDlVES48pAVs3eld7OHhm7LQ47tykM/T9YEANRGrZi15W6nvEt2lzx/f93gWM1Y\n46sHVF88GFHwQhMr0k5f3XZYCtWNDstCUhJ5MGzODh/tcatmX5q/O+0fMN5m8h18Z82aMtjBVIMF\nNJQ8ig8/eejYzUJZKBKGxvAfg9fbt39veehS/30vWg6hbj16mv/kYa62+moExHWluQ9vh+8/cC6z\nQQqAYzTioxnD3OxtrY35XABkQ1nuwxtRIUdDk0pEXT0BRwAA2+z9jfs2BHjb6VNBuBgqejZDZ6z5\nfWtAb24X06fpCXB4BjYe4+Zu2Hdki6+5UmfCYHPMPOwoTZwdtG7BogWzFs5f9Ee6YnGL2Ibj1hz4\n/cuZIx2MeSwAIJS1zBxG+Xu3E9mc5jVYeTnyCICh4eBt3fHVPQCOkccAzaYPai5DTd+xAid0R38y\n3QTA07PHU17jR+PV7VTuttNh3ZCnLBoyQ05kA9Dz+2SMoTxBmN8qBN/j8907lo93MdWg5pbK+rbD\n5qzb/6NPL0XrGVt/1De/7v33jKF2+moEALBUda0GTBjTR0VWGFyL92aN8bCnNDEAQlnHwt1n/qaj\nGyebsbv6IiwASn1mfGTHBkDmX/7t5M2nEr3+U+ZOsuYQ1jNmO55em1jX1YfQvDWk+Tcikhv4Vi4e\ndtoMQH3Aou/npS/Y80jR0S6hxKOqX+WD+OSM3E5ED+RY+K3/ykub+lCbczs+o0KqZd3f3UrxpN51\nGDbe9mqXY0mbkbb/iGUmlq6rpxEAkGIQLGgPHGDESX+H/CxyzCd95MgCkHXu8isM1K9vpwq0nY7q\nhnxlIS6+cibl05UODFt/P6uI/2b05LLi2Ly/dLw2AJRc3bvtbEqD/tBFq/0dOByXjxd5xa6LqiAh\nbXwScfjI/RYZwlDtPW7yID4AYeaDJn9oLCPfrz4brgmALLh1OvRmxjMhW0PHxNaGW9bsMU3aWPEs\nI/NBatbTskoBwevlOm6ciw7AcZw9xz5iQ3Lnw4mAUsZcTQN1AKiK2PXz8YeNAG7m6wz8eZoeuLo6\nygQ6Z9ik6QlU3Q3euz1NALbh+K9/WTNQGdD39e93dMNNmXtAJt9x/Iez3hviYq7FARrLnyTHnQ88\nHp5SJXMAqOL23dkfPFoMMPk+O85RgQsVWjNmqDnP9rMAAJAZR1csP/6oXgoAbG2nEbYtIosy+Q7j\nPpw9aaiLGZ8DcVX+g5iwY7+H3a9oagyqAzad2+DOBJ6d+Wpr2dhF7w+11iBqcqKP7NoV/KiWBKDs\ntC5w2yjVFs/uvSI4bAX159Pjn8wJlHU9Lwy/aVs/3Mee9vGMMc5GqgxJXfGdI+s3nMgVgqntOnbS\nGE8P977muioEAEltSca9a6eOHo/KabV+QyibefsF+A3r39dIjQlBZdGTuzHhwWciUyol8ssjJ1U5\nNTxzhxFWyomioU5KaHhaoWys1fIClnb/Dz9dMM3DXINRk30z5JcwpeUbZxgBSNsyeXVUnc2SoJ2+\nWlXRv17W8JvST6sm5eTPB594LFs22kKlLvvCnm93XC0Wda/MBM9liDkA5IYEifxmWsN4kKvu8Zyn\nrX1MdjEPxboT9hxZYQeg+PjcTw49kcWjNfbf/cdiMwA5++Z9euK5XYfpMO1X/LltgiaAx/s+WH66\nkBKS0Bq16dg6ZybQGLt+5rr4GkUsklzr8WMMASDn4u3SVzjWfF07lbftyFE35CwLgKy4E/kIDn2h\nM3pinwM7HnRJybxR2IYDB+oCQEPMtj1nEuqA9NwtBp6Bc03BcfNx4V+9UkFCmHv52MEWNxGaI36c\nBgCovnbijiyMM8dqckAfAkB+0IoFhx81+1072+LGmhtfT7nR8vHBEYX7jn5sBqgY6CoT6NKyLgGg\nPifhCQDw3Ed7mKmxWarGA0d56AFAYVKGvHHOaHo0oqKow2epQF9cOy9zapbLNpr49W+7l/gMMNei\n1K2StqWHz7I9v349Vq+bp1xci+HuKgCAirBdp2S9CQBR+f2LcYWynp2lP+bLX/b8y2eAGZ8DACxe\nr36TFm07tHaCyUsmIE3Pz7fOH2atQQBQN/de8t0S99dGp3sdhhM37Vg5xcVIlQGAqWrQx4yyUSnZ\nzF4aMN7NktLEAJhq+n0Hz1j78/eTDF7kD1PLc9Xu39YHDHcwUmMCAJdv2Hf4jFWLndU6K9BrkBYm\n3auCissQGxtPVx4aU+JbhUAg1F2Wbd8419NcgwAY6haes7esHW/4cjI874XT+mkTYPAc3l/305rR\nFioAVC0mLJnr1G6guC7AULcf3hsAShKvx8QXAoC5lxO/1TmOruchWZF0KRMAYODhqi0zrRI8B28z\nAEDelRulcvmDbsg4d6EEAGA1fqi+rJQJvuskByYA1FwPeaCQJgbYvbwHaAFAaWJyhzK0107lajtA\nh3UD8pUFBVmVeuMpAPDcvC168qoCU91ADQBQ/bRclheiyqdVAADCwsWwPdlZht5+7mwAKI69zAN+\nAAAgAElEQVQ4/VAWYJpt1H+ANgDkxpYPWrs3+Gr4peiwkMAfPh1j9oqVPYLD6+U2ljI0IC8+s7aL\nupIFQJQfsm6b0XdLx1mN/feRsU2/iPIj9353hA6f9f+CsORBltDfgAOo9zJRJe41EsYT1qwexANQ\ndz9o14m43EY1i8EBy6c5KPOGrF7mnfhNVDmJxoe7Pl54kICyy/Kdq+wIoPba1i9/fywEpJLaYvkj\n4WhaWKoDABpT4560P5tm6o/8/AsvLQCoST5x+EI6aTlhjn9/DfAGLvt6/N2loUUtezK2nlpa6O5T\njzXHfTLTXRVQH+Jj89+EpHo0pu9ZNv8Ii8E2nLBp/RR9AHmBKzfHlJMApKLK4nbMhHw7U1SlREXE\nZZaJlI0cPBxl+z4gFZbnxMaEX0l4kFlU0cDQcfJdtW6yJcF2+nCiefiBLCEAQnvYiq8mUe2xJiU0\nOPJesVDF0GbQqOHKVCKdkOe1CHJvpImGeAyc6ifRgTTlenaD04sfOaaTlvrqAwCqk44fjirSH7Xg\nfVeNdpKRph/6ch85d8fHfQmgIHjtlpIp25a4cVVtHHTZSfndKbOKtbcDC0D9w6TsHMH9qplGPIbN\nCFv1iLim4A3dkoeSsvgrT9DbEjD3tueFFFeQYKjbevcGABRE3ywSAWI50hHlhp/PmTnPHDCf4GV0\nKihPBELTdbwTEwAqrp1r6rvlheD1dtEDAEnBQ3ky7qV2ypCj7ch4bd0A5CmLZkTP0nIFMOZCy8GW\nz0x92zFAXgkpqKV0lLadlQbxuJwEuCaOsvEnz1hPifGwbWRottl7k6kF9azgiObQmGz93joAALOA\nT81k3xFqpm6Tv3YwVVq4NrRFcA9O70XHf56q2/y5Ievcno3Hu7zwQg39xDUlebnFQiuzF8MISWlB\nbnF1lzeI0fQYJLUV9QAHgLKmChPVxuN8bQkAwvj/bPw9ploK4FF6Htfl6EorcPu958q7GvmcJBvL\n8/PKARXDehIgAHF1cV6u/PHoZDBVtWTGwarm8OdtYBkMn+zEBoDyMxu+/eVhgxTXbjxhH9k5TR+E\nne9I4/CjuS37svS93/56oYRkZ+gMO/KRMcA1NNZgJtVLpIKKwrwKgE0+l3VcgvL8vNzX7pgtD127\n8KckmRHoZBCbyxIDQH3S2rnxAlkbIAhmVczJ4LTJX9gDeo69NYisMhJM3SEf9OcCgCRl14ovQwop\nEaNCgwO1lRukADojz+sg67NiH8PD1mMogNybqdV2L35jGwwd0Yt6o7Pff/drSgMYN/I0/tg1TvOl\nZJ4l3k5NEd8u/LivCarv37r/sMw4H27WUDdQZ0La2H0yK1l4OSoDILPisgUCyc000TgPNtvB21o5\nLonSa92Uh5JnCVE5Cy3NQdh62ahG3aqBkvWQvmwAKLp6o0gkbzrip9GnU+audCBgNmaYSciRbInm\ngHH2BAAUh4c/VrTqs7TMqT6+6mmFXPe2aafljI7bThOvqxuAPGXRUo7n+ZWAPqBlpcNCj1XGoqKk\njMb3dZTAcv7yhy96XXrUoO8x3VdH9itHjcsAWmsxFfupE/UBQHQ3OKpZxTK4GurN6q/y1vEDYTkc\npykLp/flgus6P6Bv5E+vstWX37sWGZX8rOvTVhYAjun0rVvm2RKQFl478Gd0rsRoyPsfjzMfNH+z\nEWfpvw5mdWK3Dk2PRioFQ8XchRo+cgZ+H3Sx7RWEnrUWK/L532gX4fZyMwEAVCdFPZat1zRmR9+o\nmDZFCzB0sVA+lttibFiR8eQ5CUBSU1pDfcNWYnXSLFwYHnK/xXKMVCSg1AGDbewZ8OFEb7c+Jvw2\ndnI1bVUmykhwTVypUbT4XkhUUYvBgqS2vLZz0nSEpPLB7QLYmgAoS75XKm6pjA0dqGlxzZ3LWQ0A\nIK1Pv5pUO26UWttUxAKxVCpuFAOAqFFMNv3NUe7yptBWsE28+vEBID/+US0pJbPicuDRGyqOXpbc\npBQBgG7LQ3FpfGT+ggW9wOk7xFLp1j3SbIiTKgCUxF57qkBNJstvBt9Z4uDOgdHoMSYnfqt2n2hH\nAEDehQjFAxszlTSog/mCurYztA6RKnrDa+oG5CqLFpCNddSIRZmn3IN9Q0lr7wT+meEx14YAy3zE\nrE9GtPqVYKBNp0DwB07z5gFAbcyphBZHKqXNf9Ze2/L90aRaKa6nCmyOfO5MgOfc35j9IKupbkrK\nE/481qDJUtG2dBvV39R5/OKdQ5x/WPJ95Ku2BMgHASjZTPWzJQCk7/r3lqOX42KvntyydkeyGICZ\n3/sOKl1JnqbnwFTTlpVlw/MGCcHlvbZkOSqcblzxlNRVyPbk8ww02l2OZrDVVKkf6svqmqu0tL6M\nuo+hrMFtJY9Y2DSkJbtsvakurmqnEXFtAnb8vmbmSIeXNDEAJpsSlq0iG07XlVYK/iYzkqgo8VZu\nvVDYWJxwM79lF8pgq8rysK60OQ8V1GgMFtGdK91sffdBegAAswXHzl2KDju2mjIc890HN53K6bY8\nFBVdjykEAA2XwSYctmF/2VrtzZg8hQzrZFXCmbhaANAfNcrSqP94ewYAPDp/9anizjqkErFsExhL\nvkNCrdupPG2nBa+sG5CvLFrAYLIoHSwRSXq0gVSYE7Ryxa7Qe4V1ACCtzU84/tMvKVIAkNZVNrY2\n5zB1vf3dOQBQFvnXgxbHzKSi+npZmym4m00tzJPVmcnUAr5Gq6yXVNw5dfTwgUP7tnyz6KNddwUA\n1D0X+/Xu4to6C4SqiRkPAJ5npFfKpCGrH6eWw0UfKia9+Myk+p5qoqCRH46+oxVVWWpyC+pIUqlW\nZql7HvHlZ4FP2vYyZH1lN06LJZU5T2phqQYo2XlaKt1JeWnpSyqqrRMDLEBFR4UJyOamKjqUiU7a\nUP3mdJ1U0s4URNk+YKolAwDE6cGbt4XezSmvE2uM3P3nFy2dB4jqawUAF1DV4XEYUHju0ymEGftn\nTdtP/a3i+uJ7qaS+kVpMUNZsnswQKppvbzxNaLl4mbX/k95gd72DTwrE3ZmHosK46KKZHxhCz8PV\n8FzjIBMAKL8enatgVZbWpZyJrBg+RQt6IwJmVtoxAEjuh9zozMRHUlNcDfAAdV01ebRxm3YKoMO2\n05JX1Q05y6Ll9Wq61FJ1TXFVD9/FS9Zmhm1fE7a96TPHdkkQAwDKsopaB6PmmI2dQnlCyQ49l9Wq\nWoie5z+Hmw7aRfyqAYn4WXzkY/SzA7RtzdSJR+VdyCoCpKCWUraatn01m3YhavZxpJanG2obe3hB\n0MgD23DkbB8DAIDg4fUcAaR1OfepXaOadjacqmelpS/+lddx+Epktw6HG59cu02tSmlNXD7NtukM\nPVhajqM9jTgABPl3ngIANNxHWMg8bnLNhnpSRzOKkrMVDPEuJcVN+4NYnbCyESq6htS+YjIl8K/Y\njNJaISnlmjgZt75MUHA3n3oR56nD9FsMnllqOuqtpjFdlEcuBM8ySgEAPLfBMocHXAvPfu1t4JKL\nrspM8By9qLOw+SF7tm7ctnXjtq0bd5/JBQCYDXbWJoBuzUNhQWz0MyrxwV5DLQGgMv5yTlsLbMfv\nJXgcerEQAPgeE8wBQHjnTHxFZ7pCUXkm9XwVEzNeh9r4pXYKedqOPMhXFi2uVzU25wOAuCC1rCd7\n7wRAMFsKz9T1/mCsFgBUJ97Mb6VwlftMG28EAJL7QVcKWw8+REUPnlAVxaSfJZXJhEZvF6owyrJK\nRQCDo6XHb20xZKiaO8t2i4lFXTTSsYCGzBsZUte+DPRetukr1T+j86S9hvrPdiQA4PGNR9U92kRB\n83p4/fwWr67nW7kMstehKlHJ2RPJ1VJAlBcenh0wxwIwnbd1i25Q2M3sCjFbw9DKecjI0e6CgzOX\nnlZw3+jrkNYmHw7OGT7LHCBsPvz55OCEWxkVUk0rtwG9mRdXxd4ohLj4ypn785c7saA1df36xsMR\nGaTFhNl++gBApp69oqiFUFJXVklNEy3GTx2cdSmvTiyViiqLi6qF8tRosqG0uAG2ygBhPXaQaeLl\nAobh4IXLx/HbPKU0Jihp3tduHLAcV+/aYn0qMrlIqGrYZ/Do4cqBC1bEvNik2kV55EJUcPX6s4Bp\neoBewNpVFfsjiw3GLp2i2/GNr6CLMjNU+4ywJQDg6ZUzFy/L9t+x0rQmTV5sBlgNs9cIL6kkuzMP\nRXlXb5b7+2rDJmAuCABVt6MevzSVlOO9hHmRZ7M+WNzkxaru+tnklzYcy0fD49hM0suBQC83S5Wz\nxTXtXvTqdipH25FnjCBnWby4gWvqYQoAyI7LqOvZOkDdc/PPM+piY+5mF9cwDVzGTJ/sqAQAOSEn\nWnk3Ivj9po/mA0D9zZNxbYdW0pqU8/ENA4YqQ23YF98U/x6ew3HyXeBMAMCTK7efSQCW7rjvDs5V\nybxzP/1xUXmdkKFm7DxqbD9qe+STmxkKHnprCwuQPLuyN/C9XbMsCBgOnbdq6Isf84J3Xnwq1+k8\nmh4Ko5fnhF4vPtYk/LLuYAZVQUV5pzfutP9pRX91qNv7zLf3aXlfTrdLIswOXv8fyx1rhmgBULMY\nMMpC9kOV7H9JSdS2H912fTVEExquAUtfmNiq43/eGF6oaD2U1qZeTpO42DNBWPn/e6c/AIUcVtSn\nnjhfMGy6CaDmtfJAxErq20ZAqdVlZHnUzq3u29aO1Qc0HH3nOvo2/ZLSeu21q/LIhTArePelkd+N\n4QP6I/61bgQAiBrA7uTZ4S7KrGQx1IkDAJUP7r041SMuTU4uh5k2mLYjbFSuJNR2ax4Ks6PjKnx9\ntMDhAEBtwpWslzfByvNe4pKY4JSFaxwIAKiKOZ36GjeWr4V8nngxReLgxGQ7jLRSuZHc7hD3Ne0U\ncrSdjpG3LJrgmg/tpwoAqRcTynq6cZShbNBn4PQ+rfZu1cRv3xic03IEz9QZ6jeQCwDll0LuvTzJ\nJKsT9+1P7L/cXRn8gf6rBjZ9L8058WNYkx5kEBzdPh4j+3i0uTf7z20XuqorCQDShvTfVy/cEHT9\n0TNZvW0sy4wN3jpv5YH7na2BND0JcU1JVkLEofWfzv7ybM6LNTlh3ukNHy/+6WR0WlGNpPnKzFsR\ngVv2XS/r9o0CosLwzfPmbT1+Ja2QCgVDNlTk3r1w9GrTFlVRccR/Fi7ZE3o7r0oMAJLqguRzv3w2\n+4cLBZ2wk0mehW/+9vfYRyX1netLGtMOr15x4PLDkkYAIGtzE4O/W737wcvPKYv5z5JF3wfFpjY9\nSVCRnRC27+CD1hOKrsojF2TlrR+Xf3s0Pq9WCkBQnHzqh80XiqjfxAKFVx66JDPHzNNVHQBEGbdb\nrtoK826nNQAA13mIJTVM6MY8FGRfi6ts+lCfdDGzvQMp8rwX+Tw+PJV6eumVsEed90FFVsQHXa0B\noOY5weG1nmle0U4hR9vpAK78ZQEAULIdO0QLQOOtP99AT9DNCPIiw5Mel1MLqtL6ZxmxITsWz18f\n2jpv2MZjpvdlAEBBWEhWuwvv4sKL6+euPxyV9owaMUmqcxPObv/k80Op1BqZpDzu6OHQGynZJZX1\nlOIlG0qzE88dXBuw4tDD+q7qSoaT+4AuJkFDQ9NTYfA8N5xc58EFqi+vnk6HvJQfBm/w10c2DVYG\nnh5atPAPRTeBtYJt6rcrcJ41xPc3z/kioiubfP4WCP6QjX9846mEvOML5wXSjp/+Jv4RjuZpaGjk\nQ8l+2aYF2mk3krIKS6oalYzcp87x4AKA8OEthX21vJMwVXX1tZSU9Vz8PxusDIBMO3VB8ePFrRHl\nhf03aOKuGfpOs30sr/yR1bPVG6fXuNmeSkD5hR2n36F4Hm8dWhnT0Pw/wVA1sRvW125Y62/JjKP7\nb3dyB9K7BVNvwneH/mXe/Lnw1IGobnA/1fDo0IZtdd69OHU6mqyskp68E4epri+IOxYUW3wz5B69\nTPk3QitjGpr/I8TPbkXEGg60622orcIGQNaWpN++duZwUDRtbVQUYUnymQM7fktV8FBd+0jrsy8d\nzu6GhN44kvKE04cS3rYU7yD0mjENDQ0NDc1bpgc7HaWhoaGhoXk3oJUxDQ0NDQ3NW4ZWxjQ0NDQ0\nNG8ZWhnTvNMweCP2hF+KDr8UfWiuVfdGD6ShoaGRG1oZ09DQ0PQAGCqOi45Gh1+K3u3X6y2OC5n6\nPtvCo8MvnV7uqk7rh78R2dEmJt/Bd9asKYMdTDVYQEPJo/jwk4eO3SzsPh/2NDRdhW3if/C3j18R\nBg5AUeDiBQfeYS8FHPM5h/cFGAEAsn6Z9cnZYgkI3XE7g5dTUePKQ1bM3pXezfnzolAyd/qtuFDa\nae9SHNuVh36eTDndr41aMWvL3U55oOwuebrtveSGYzVjja8eUH3xYESz/1d56vwRBChQ7h3ms6Qk\n8mDYnB0+2uNWzb40f3faP8BpWwf6i6Ex/Mfg9fbt31seutR/34tWQahbj57mP3mYq62+GgFxXWnu\nw9vh+w+cy2w+4MbgGHn4L/xggmdvLQ6EFU+SIk4cOHw9v+vhUwkABN/j8907lo93MZUFUFbWtx02\nZ93+H316dTFaMg1ND0daf2/P2m/WrP/my22Xinq6E14FsPJy5BEAQ8PB27rjq3sAHCOPAZpNH9Rc\nhpq+Y30PoTv6k+kmAJ6ePZ7SeV8bHZa7PPnckBlyIhuAnt8nYwzlCcL8VulG/cXWH/XNr3v/PWOo\nnb4aAQAsVV2rARPG9GmOWwm20bhvD37z4bDeWhwA4GhZDgr4976tk826Xl9ZAMfm/aXjtQGg5Ore\nbWdTGvSHLlrt78DhuHy8yCt2XVSnonjS0HQ7kqr7Jw8FarMAMNT7+vq5qQOoTwkNTq6SAJA8v/tc\ncc9GovLUpPLulvTtw7Dxtle7HEvajLT9Rzj2Yem6ehoBACkGwYL2wAFGnPR3yMrBMZ/0kSMLQNa5\ny/ktwqLIVec1X1zfUbnLl8/i4itnUj5d6cCw9fezivhvRk8uBzn0l7TxScThI/dbZAhDtfe4yYP4\nAISZD5r8obGMfL/6bLgmALLg1unQmxnPhGwNHRNbG25ZU79C8Act/aS/CgDU3g87nShxnObjwgPH\nee7Skde/CO+a/YQFtuHAgboA0BCzbc+ZhDogPXeLgWfgXFNw3Hxc+Fev0NqYpkdA1qSeC0oFADAN\nfDypjqn8buiR43ltojq9MNimbf1wH3vaxzPGOBupMiR1xXeOrN9wIlcItvXiA3v99VrcU/Lnxwv+\nePxSeChC2czbL8BvWP++RmpMCCqLntyNCQ8+E5lSKQEAprbr2EljPD3c+5rrqhAAJLUlGfeunTp6\nPCqnobnhdCwPACbfcfyHs94b4mKuxQEay58kx50PPB6eUqXwhL0qp4Zn7jDCSjlRNNRJCQ1PK5SN\ntVpewNLu/+GnC6Z5mGswarJvhvwSprR84wwjAGlbJq+OqrNZErTTV6sq+tfLGn5T+mnVpJz8+eAT\nj2XLRluo1GVf2PPtjqvFImWndYHbRqm2SLT3iuCwFdSfCoeGJHguQ8wBIDckSOQ30xrGg1x1j+c8\nbf3qrysLOeQR607Yc2SFHYDi43M/OfREFtPX2H/3H4vNAOTsm/fpied2HabDtF/x57YJmgAe7/tg\n+elCSkhCa9SmY+ucmUBj7PqZ6+IVCm7LtR4/xhAAci7eLm350vLUeU6TMu6w3OXMZ4CsuBP5CA59\noTN6Yp8DOx50PmbVm0Yu/SXMvXzsYIubCM0RP04DAFRfO3FHFsaZYzU5oA8BID9oxYLDj5rN0mdb\n3Md39fFQAoDqqB++2nOnVqp0h3lo93taYDtNGahz6XyXHKcSYKobqFFiPS1vCmVX+ZQKlElYuBi+\nY9Yimv8vDCdu2rFyiouRKgMAU9Wgj5maAptSmFqeq3b/tj5guIORGhMAuHzDvsNnrFrsrCazWynZ\nzF4aMN7NktLEAJhq+n0Hz1j78/eTDNqbmrxKHrbRxK9/273EZ4A5Zf6Ckralh8+yPb9+PVZP0amt\ntDDpXhVUXIbY2Hi68tCYEt8qRASh7rJs+8a5nuYaBMBQt/CcvWXteMOXk+F5L5zWT5sAg+fw/rqf\n1oy2UAGgajFhyVynTsZHfiUMdfvhvQGgJPF6THwhAJh7OfFblVTHZdERZEXSpUwAgIGHq7bM/Erw\nHLypJdm8KzdK5bKsNGScu1ACALAaP1RfVjoE33WSAxMAaq6HPFAwzDy7l/cALQAoTUyWT4b26KDc\nIV8+U5BVqTeeAgDPzduiJ+uAzugvlqG3nzsbAIojTj+UBZhmG/UfoA0AubHlg9buDb4afik6LCTw\nh0/HmCk1VTCOqbslAQDClOj0WimAxqzY5DoAgLm7uRK6BAukoJZ6B207Kw3icTkJcE0cZW2TZ6yn\nxHjY9aVpGpq3A9/OFFUpURFxmWUiZSMHD0fZng5x3p9r5l9gMxjqA9dtm9/+8hqhPWzFV5OojTE1\nKaHBkfeKhSqGNoNGDVd+0SKkwvKc2JjwKwkPMosqGhg6Tr6r1k22JNhOH040Dz/wUnye9uVhGU9Y\ns3oQD0Dd/aBdJ+JyG9UsBgcsn+agzBuyepl34jdRCoXdE+TeSBMN8Rg41U+iA2nK9ewGpxc/ckwn\nLfXVBwBUJx0/HFWkP2rB+64a7SQjTT/05T5y7o6P+xJAQfDaLSVTti1x46raOOiyk/LT9yybf4TF\nYBtO2LR+ij6AvMCVm2PKSQBSUWWxQhGoVay9HVgA6h8mZecI7lfNNOIxbEbYqkfENQW36LAsGuWQ\nR1IWf+UJelsC5t72vJDiChIMdVvv3gCAguibRSJALEc6otzw8zkz55kD5hO8jE4F5YlAaLqOd2IC\nQMW1c039u7wQvN4uegAgKXioWMa15rXlDsiTz82InqXlCmDMhZaDLZ+Z2g2xMt4MndBfbLP3JlMt\nPis4ojk0Jlu/tw4AwCzg06YNc4Saqdvkrx1MlRauDS0Rg1AxMqI0f2VOBXTtvRyY6QnPc8sAVYCr\nb8JnJtR1IZ9YEBUlZTS+r6MElvOXP3zR69KjBn2P6b46st85alwGQCtjmn8q5aFrF/6UVE3pspNB\nbC5LDABSYWVRXiXA4Fm9arcoU3fIB/25ACBJ2bXiy5BCqpuMCg0O1FZuMmLVJ62dGy8QUZ8IglkV\nczI4bfIX9oCeY28NIqusrRJtTx622ThfWwKAMP4/G3+PqZYCeJSex3U5utIK3H7vufKuRj5XQBuT\n9Vmxj+Fh6zEUQO7N1Gq7F7+xDYaO6EVJcvb7735NaQDjRp7GH7vGab6UzLPE26kp4tuFH/c1QfX9\nW/cflhnnw80a6gbqTEgbKwrzKgA2+VyWgYLy/LzcTq2aKVl4OSoDILPisgUCyc000TgPNtvB21o5\nLonSax2XhVQghzySZwlROQstzUHYetmoRt2qgZL1kL5sACi6eqNIJG864qfRp1PmrnQgYDZmmEnI\nkWyJ5oBx9gQAFIeHP1Y0VCVLy5zqcKueVnQlzOXryh2QJ59bIHmeXwnoA1pWOiz0WGWsuP5SsZ86\nUR8ARHeDo5rjZzG4GurNs+jKW8cPhOVwnKYsnN6XC67r/IC+kT89aCCUNGST38YGHZ+t6+daovD4\n+rOyIuOqcwmgS8pYWnsn8M8Mj7k2BFjmI2Z9MqLV7wQDctqAaGh6IIXhIferX3SkUpFA7pkH18SV\nGiGL74VEFbXcVFNbXtv0N4Nt7Bnw4URvtz4m/DZnQ9W0VZloq4zbk4fBM3ehhvKcgd8HXWwrB6Fn\nrcWKfK7IJhpJ5YPbBbA1AVCWfK9U3FIZGzpQ0+KaO5ezGgBAWp9+Nal23Ci1tqmIBWKpVNwoBgBR\no5hs+puj3L2nYNkmXv34AJAf/6iWlJJZcTnw6A0VRy9LblKKAJCzLORAXBofmb9gQS9w+g6xVLp1\njzQb4qQKACWx154qkMNk+c3gO0sc3DkwGj3G5MRv1e4T7QgAyLsQoXjwY2ZTJy+o65oV8jXlDrny\nuQVkYx01GlHmKffg48aK6i+CP3CaNw8AamNOJbQY4kqb/6y9tuX7o0m1UlxPFdgc+dyZAM+5vzH7\nQVaLsiGrs1MKJebM1PRK0r2bXoUAIMwJWrliV+i9wjrq5fITjv/0S4oUAKR1lY309i2afy7VxYrv\nf5LBVpENletKKwXt95Fcm4Adv6+ZOdLhJU0MgMluZ7G3PXkILk/ldYJwVDiKjohFRYm3cuuFwsbi\nhJv5LbtZBltVlRKrrrTZpKagRmOwiO4cobP13QdRO+nMFhw7dyk67NhqynDMdx9sLJusyFEW8iEq\nuh5TCAAaLoNNOGzD/rK12psxbTcBvh6yKuFMXC0A6I8aZWnUf7w9AwAenb/6VHE7s1Qilm0CY3Xx\nINEryx3y5XMLGEwWpYMlIkmPNo0qpL+Yut7+7hwAKIv860GLI2RSUX29rD0U3M2ulwIAWZ2ZXAwA\n0DDQYAFkY7XMWqKkKrizfd744XO2xtWrcKnvBDWCrulKql2StZlh29eEbW/6lmO7JIgBAGVZRd0S\nzJOG5u0glUg7W4FF9bUCgAuo6vA4DLQzZ1G2D5hqyQAAcXrw5m2hd3PK68QaI3f/+cUrHAy0Lw8p\nrJW18ecRX34W+KRtb07WVyo82RJm7J81bT/1t4pry+fXN5IAAShrNk94CBXN144G3iiElovXK5xa\n6A121zv4pEAsT1nIi6gwLrpo5geG0PNwNTzXOMgEAMqvR+cqmMXSupQzkRXDp2hBb0TAzEo7BgDJ\n/ZAbpZ0Y+0lqiqsBHqCuq9ZFbfyqcpczn1ter6arDgCoKa7q4RMy+fUXx2zsFMoTSnboudYbOkTP\n85/DTQftIhZJpABZX1hYiz5qAN9cm40nQgAsLTPqHkFJQWXXbPlUcySYLe0QTF3vD8ZqAUB14s38\nnnzEjIbmzSEouJsPAGA5Tx2m32KWy1LTUWcBIFR0Dal9xWRK4F+xGaW1QlLKNXEyVn3lRJgAACAA\nSURBVPBB0rqc+9TuXE07G07Vs9LSF//K6zh8JbIbpyaCZxmlAACe22CZUwSuhWe/9jZwyYWUFDft\nsWJ1xppJ8By9rAAA+SF7tm7ctnXjtq0bd5/JBQCYDXbWJgA5ykJ+eYQFsdHPqMQHew21BIDK+Ms5\nba20Hb+X4HHoxUIA4HtMMAcA4Z0z8Z06Byoqz6Ser2JixntDTjbky+cW16sam/MBQFyQWtaFTWV/\nB3LrL+U+08YbAYDkftCVwtaDD1HRgydUJTDpZ0k5+SA0ersYAADKskpFAIR5iU9IAODYD+2jygCg\nZO3lQp2Dy0nM7aKvMhYAqHtu/nlGXWzM3eziGqaBy5jpkx2VACAn5MSjf4AvNBoaBSG42kYGqkwA\nDHUd2Z4MFt/I1EwsAiBtLCsoqSclpTFBSfO+duOA5bh61xbrU5HJRUJVwz6DRw9XDlywIqaKbCgt\nboCtMkBYjx1kmni5gGE4eOHycXxFxRHlhYdnB8yxAEznbd2iGxR2M7tCzNYwtHIeMnK0u+DgzKWn\nFdyf+5pnFVy9/ixgmh6gF7B2VcX+yGKDsUun6HY6PUldWSU11bYYP3Vw1qW8OrFUKqosLqqWy5cu\nQ7XPCFsCAJ5eOXPxcq7s7G+a1qTJi80Aq2H2GuEllR2XRfOzOpZHlHf1Zrm/rzZsAuaCAFB1O+rx\nS/2cHO8lzIs8m/XB4qat+HXXzya/tClZPhoex2aSXg4EerlZqpwtrulUIq9Fznx+cQPX1MMUAJAd\nl1HXs62j8uovgt9v+mg+ANTfPBnXdtgkrUk5H98wYKgy1IZ98U3x7+E5HCffBc4EADy5cvuZBABZ\neSf0VqOTpxJ4o9ZubgxJJB393tMCAPGDswllXdzkRg0qGcoGfQZO79Nq7bsmfvvG4JwePiSioekM\nXMdFe7cPaX0sUHv8D7vHU3+mbpuxJOo5SZZH7dzqvm3tWH1Aw9F3rqNv07Up1JppfeqJ8wXDppsA\nal4rD0SspH5sBBQ9cCjKO71xp/1PK/qrQ93eZ769T8sfcxRMrAOEWcG7L438bgwf0B/xr3UjAEDU\nAHYnzw5La1Mvp0lc7JkgrPz/vdMfgCJOP5QshjpxAKDywb0Xp3rEpcnJ5TDTBtN2hI3KlYRadFgW\nCsgjzI6Oq/D10QKHAwC1CVeyXnZqIc97iUtiglMWrnEgAKAq5nRqZ91Yks8TL6ZIHJyYbIeRVio3\nkrtt6NWMvPncBNd8aD9VAEi9mPDSiYCehnz6i6kz1G8gFwDKL4Xcq355tag6cd/+xP7L3ZXBH+i/\namDT99KcEz+GPaWm0WTlzf/uT+y3zF0Zas4TZznLLhGlHPo5sssbzikbUF5keNLjcmqpW1r/LCM2\nZMfi+etDFd8WSEPz/4SkLOY/SxZ9HxSbWlJP9UiCiuyEsH0HH1CThca0w6tXHLj8sKQRAMja3MTg\n71bvftCJJwnzTm/4ePFPJ6PTimpkjVpcU5J5KyJwy77rXR1yt4asvPXj8m+PxufVSgEIipNP/bD5\nQpHsmQKFLeKSZ+Gbv/099lFTDikEx8zTVR0ARBm3W67aCvNupzUAANd5iCU1TOioLBSQR5B9La6y\n6UN90sXM9hxMyfNe5PP48FTq6aVXwh513k8VWREfdLUGgJrnBAf17j/AwpU/nwEASrZjh2gBaLz1\nZzfXvjeAfPqLbTxmel8GABSEhWS1a/EVF15cP3f94ai0Z9RoSFKdm3B2+yefH0p9sfIsKoxYP+/7\no9FZ5QIAED3PvnX8P4s/C1F0z0E7MJzcB3Q5ERoamn8uDJ7nhpPrPLhA9eXV07c/oJem5IXBG/z1\nkU2DlYGnhxYt/KNLHTLb1G9X4DxriO9vnvNFhEJOXrobgj9k4x/feCoh7/jCeYHZ9Jzs7+Ef4USe\nhoam+1CyX7ZpgXbajaSswpKqRiUj96lzPLgAIHx4q60DRZr2YKrq6mspKeu5+H82WBkAmXbqQlft\niKK8sP8GTdw1Q99pto/llT9e8t3298HpNW62pxJQfmHH6XcoVsdbh1bGNDTvGgxVE7thfe2Gtf6W\nzDi6/3YndyC9WzD1Jnx36F/mzZ8LTx2I6gYXVQ2PDm3YVufdi1Ono8nKKum0j+ouwlTXF8QdC4ot\nvhlyr/OxHGkUhlbGNDTvGOJntyJiDQfa9TbUVmEDIGtL0m9fO3M4KJq2SCqKsCT5zIEdv6V2izsG\naX32pcPZ3ZBQl5CUJ5w+lPC2pXgHodeMaWhoaGho3jI92OkoDQ0NDQ3NuwGtjGloaGhoaN4ytDKm\noaGhoaF5y9DKmIbm/xAGb8Se8EvR4ZeiD8216t6IhzQ0NG8AWhkrAlOrf8C6XwNDo6luLvzS+dWO\nino+/GehOmDTlfBL0eGXTs63fjnKGs3LqLh+e+ndqBs0CsBQcVx0NDr8UvRuv149fGzE1PfZFh4d\nfun0cld1Wj/8jbAAgKnVb+ykEa7Ozg52ZjwCAMrPLPx476M25xwYHCMP/4UfTPDsrcWBsOJJUsSJ\nA4ev53ctHPabQ9Vz86nNLs21SVhVnJOWHBd+NjQmp65T7m0IzUGrNn004P9DJ7FN/A/+9vErQqoB\nKApcvOBATz3x/0L4zJ1+Ky6UKlqcDP7o7X+t7dvyK3FNSfbD25F/BV1IKuuhb03R1Xd/K3BsVx76\nebImAKA2asWsLXc77znyHwnHasYaXz2g+uLBiIIXDpM77qPkaqe5KgrU5w7LQlISeTBszg4f7XGr\nZl+avzvtH+CQjcl38J01a8pgB1MNFtBQ8ig+/OShYzcLZTE9GBrDfwxe/4qwpuWhS/33pTfnEaFu\nPXqa/+Rhrrb6agTEdaW5D2+H7z9wLpM6vCanruwULADgmPnOnzm8A0fxbKNx3x5c1r8p7ilHy3JQ\nwL/d7Pcv+ex0N7jlfPNweAY2HuNsPMb5Jfyyel1ojuJjCI6Zhx2libOD1m26WiyQSiW1xbTHov8L\nWOr6vT0m9vbwdtqweOOV8p7ujrdDpPX39qz9hseCtC6/6G2/DcfIY4Bm0wc1l6GmnLvp/4Q+o7sg\ndEd/Mt0EwNOzx1Ne40ej631UM6+sz/KURUNmyIlsnyUWen6fjDn1Wehbrz+vh+B7fL77u/HazV8o\n69sOm7PO0+WXxZ+fVSwEMFt/1Nc/fTG8OX/AUtW1GjBhTPTx8zJlLJeu7CRNTj+kEJZlJadVmHoN\nMGjvOoI/aOknlCauvR92OlHiOM3HhQeO89ylI69/Ed6jx+fS/BsRyQ18KxcPO20GoD5g0ffz0hfs\nUTg6JKHE4wIAKh/EJ2fk/rO1sKTq/slDgdosAAz1vr5+buoA6lNCg5OrJAAkz+8+f1segP5OGpOD\nDkQ9g4qe3eipI6zZgPqQBZNMrx/653u/EJWnJpW/bSEoWLqunkYAQIpBsKA9cIARJ72nWl3eABzz\nSR85sgBknbuc334cvFf2UQq20w7rs3xlIS6+cibl05UODFt/P6uI/2b05LLi2Ly/lNLEJVf3bjub\n0qA/dNFqfwcOx+XjRV6x66IqSEgbn0QcPnK/hYcrhmrvcZMH8QEIMx80+TpjGfl+9dlwTQBkwa3T\noTczngnZGjomtjbcspZ53JGu7DQsAGh8uH3WexvqRFLlfuvdBxi0o/YJvquPhxIAVEf98NWeO7VS\npTvMQ7vf0wLbacpAnUvnu8EZ3Buj6m7w3u1pArANx3/9y5qByoC+r3+/oxtuylz/MfmO4z+c9d4Q\nF3MtDtBY/iQ57nzg8fCUKtk7qbh9d/YHjxbWab7PjnNUkLuay6v9mh3rd5SO6oBN5za4M4FnZ77a\nWjZ20ftDrTWImpzoI7t2BT+qbR7OECqWoz6Y5eftaqOrxAApqC7Lf5ySEBX4R9TTF22io2d1CFmT\nei4olUrLwMeTauTld0OPHM9rv7tgajhO+/enr5CZYz7n8L4AIwBpWz/cx5728YwxzkaqDEld8Z0j\n6zecoEwnHcrM1HYdO2mMp4d7X3NdFQKApLYk4961U0ePR+U0kACUndYFbhul2kKq3iuCw1ZQf8of\ntq8FtRlxEaGZQuD8pXy9U585EICRnYkSmjqvjvOZUO8z8dOFM0b11eUIihLO7Nud2uYRLOOpe48v\nMAeQte+jT0JLJOBYzzl4cIY+gJT/TP9X9AsPlISymbdfgN+w/n2N1JgQVBY9uRsTHnwmMqVSIu+7\ns60XH9jrr9fispI/P17wx+M2hcrkO4z7cPakoS5mfA7EVfkPYsKO/R52v6Kp05GzrsoFwXMZYg4A\nuSFBIr+Z1jAe5Kp7POdpi6rK0u7/4acLpnmYazBqsm+G/BKmtHzjDCMAaVsmr456Ll87lV/m1+Sz\nsv2KP7dN0ATweN8Hy08XUmkTWqM2HVvnzAQaY9fPXBdfo8iUlWs9fowhAORcvF36ivb56j5Knnb6\nIspTR/VZjrIAAJAVdyIfwaEvdEZP7HNgx4Oeu6rANhw4UBcAGmK27TmTUAek524x8AycawqOm48L\n/+qVChLC3MvHDra4idAc8eM0AED1tRN3ZGGcOVaTA/oQAPKDViw4/KjZp9rZlo/rWFd2HgIApMKa\nOtFrqxfH1N2SAABhSnR6rRRAY1Zsch0AwNzd/J+xUUVUFHX4bDEAgGvnZU7NctlGE7/+bfcSnwHm\nWpS6VdK29PBZtufXr8fqKeIrVJF0ND0/3zp/mLUGAUDd3HvJd0vcm6Omsc0/+M/er/08++gqMQCA\n4GroWfcbETDWnNOpZ3UXPI9VP75K5pYYTty0Y+UUFyNVBgCmqkEfMzVCXpmVbGYvDRjvZklpYgBM\nNf2+g2es/fn7SQZv2m8r2VhZTfVu0ubOTQ6ZOb2mbtn2rwl9dTkAuIYDZny3c5YNt1MSMLU8V+3+\nbX3AcAcjNSYAcPmGfYfPWLXYWa2bQ+qx9Md8+cuef/kMMONzAIDF69Vv0qJth9ZOMHlpb9Hr6qp8\nMNTth/cGgJLE6zHxhQBg7uXEf7E1iFB3WbZ941xPcw0CYKhbeM7esna8YZtUuqt9dZTPDRnnLpQA\nAKzGD9WXpUzwXSc5MAGg5nrIA4U0McDu5T1ACwBKE5NLO7I2tdtHdYb26rMcZfHi/qrUG08BgOfm\nbdGTt8kw1Q3UAADVT8tlIw5R5dMqAABh4WLYnuwsQ28/dzYAFEecfigLHs026j9AGwByY8sHrd0b\nfDX8UnRYSOAPn44xU3pRezrWlZ1Hvj6OUDEyot64MqcCuvZeDsz0hOe5ZYAqwNU34TMT6nrw1LgZ\nYcmDLKG/AQdQ72WiStxrJIwnrFk9iAeg7n7QrhNxuY1qFoMDlk9zUOYNWb3MO/GbqHISjQ93fbzw\nIAFll+U7V9kRQO21rV/+/lgINK8Zs+RJpxm2nlpa6O5TjzXHfTLTXRVQH+Jj89+EpHoAXGtfv94E\ngPqk/V/tvfy4htDQt3QaOGK0YXMNUOxZ3QXXgJ9+fl/IY/6YBR+4qbSSuRV8O1NUpURFxGWWiZSN\nHDwchVL5ZZYKy3NiY8KvJDzILKpoYOg4+a5aN9mSYDt9ONE8/ECWsDF9z7L5R1gMtuGETeun6API\nC1y5OYa6V1RZ3P6cvkMYLBVd+6n+7lTX9zj+SR3kk1mq7jZnlj3Vhp7dCDyV1GA9Ye5oq87IQGgP\nW/HVJCMAQE1KaHDkvWKhiqHNoFHDlamCl/PdxXl/rpl/gc1gqA9ct22+dTtPYuqP/PwLLy0AqEk+\ncfhCOmk5YY5/fw3wBi77evzdpaFFLTXGa+qqnKhYezuwANQ/TMrOEdyvmmnEY9iMsFWPiKNMAhzT\nSUt99QEA1UnHD0cV6Y9a8L6rRqs0uq19dZzPotzw8zkz55kD5hO8jE4F5YlAaLqOd2ICQMW1cw8V\neHUAIHi9XfQAQFLwUJ4K+lIfpXhjbr8+Ax2XRQtEz9JyBTDmQsvBls9M7bGmT1JQS+lgbTsrDeJx\nOQlwTRxlYzmesZ4S42HbpXe22XuTqZaRFRzRvOGJrd9bBwBgFvBp04Y5Qs3UbfLXDqZKC9eGvvnA\nHXIqYyUN2eS3sUHHZ+v6uZYoPL7+rGzVlKvOJYCeWlitkNRW1AMcAMqaKkxUG4/ztSUACOP/s/H3\nmGopgEfpeVyXoyutwO33nivvauRzkmwsz88rB1QM60mAAMTVxXm5LWPNsU3kSefF9el7v/31QgnJ\nztAZduQjY4BraKzBTKqXAExlHmWJFDdUP39eXdNA1tRUPM1KDO/0s7qLjF/W7TtfQrLTtIa2kbk1\n5aFrF/6UVE1JcDKIzWWJwTaTS+b6pLVz4wWyUQdBMKtiTganTf7CHtBz7K1BZJWRgorCvAqATT6X\nLQ0IyvPzcruwY0Hn/Z/Pv9/ic0XC3k1hhWLIl8+NFqOcqYaR+9u6TUfzhCBulGgdXuem8FSCqTvk\ng/5cAJCk7FrxZUgh1W1HhQYHais3SAFI5Xt3qbCyKK8SYPCs2t8TwTIYPtmJDQDlZzZ8+8vDBimu\n3XjCPrJzmj4IO9+RxuFHc1vqjFfXVflQsvByVAZAZsVlCwSSm2micR5stoO3tXJcUj0AtsHQEb0A\nAOVnv//u15QGMG7kafyxa9yLXTTd2b46zGeIn0afTpm70oGA2ZhhJiFHsiWaA8bZEwBQHB7+WNGt\nIiwtc6qPr3paIde9bfooxUbWr67PQMdl0VqO5/mVgD6gZaXDQo9VxqKipIzG93WUwHL+8ocvel16\n1KDvMd1XR/YrR43LAForYxX7qRP1AUB0NziqWcUyuBrqzc228tbxA2E5HKcpC6f35YLrOj+gb+RP\nb9xWr7D1j6zOTimUmDNT0ytJ9zch0d+FVAqGirkLNYTiDPw+6GLbKwg9ay1W5POOVyEVTaci48lz\nEoCkprSG+oatxKIsIY25Nx6IhrizoTHksyNDFmQn37mTnHQjNvZOYQPZqWd1FxXpWa+SuRWF4SH3\nq1/0H1KRQAQGTz6ZGWxjz4APJ3q79THht7GXqmmrMlH2ZrcJkk9OfbHs9/s1JCBfPkdVm/Sihk7F\n128UCQGAfH7nSibcXnGK4tVwTVyp0bj4XkhUUQtlKKktr1X4TV77pF5uJgCA6qSox7J1scbs6BsV\n06ZoAYYuFsrHclvY4V5TV+WCbeLVjw8A+fGPakkpmRWXA4/eUHH0suQmpQgAtqEDNS2uuXM5qwEA\npPXpV5Nqx41Sa0qjG9uXPPlMlt8MvrPEwZ0Do9FjTE78Vu0+0Y4AgLwLEYoHLWY2TWQEdQpvjpZ2\nyR7aqj4DcpRF69sb66jhnDJPuQcfN5bW3gn8M8Njrg0BlvmIWZ+MaPUrwUCbykrwB07z5gFAbcyp\nhBZDOGnzn7XXtnx/NKlWiuupApsjnzsT4Dn3N2Y/yOqk5U1e5MtlsrFaNsxWUhXc2T5v/PA5W+Pq\nVWQrGoIaQU/eTN0Sppq27GxWw/MGCcHlqbzuao4KR65uR9F0xMKm4RjZtrWR5Vc3bjhxt5L6xLNw\nGT5tzmfbD/61Z7ajBtGZZ3UXr5G5FdXFL+8hk09mrk3Ajt/XzBzp8JImBsBkv5lF48bkoL17/rpV\nAgCE5bTPZ9nITEDyyEywVWVNoK6iaZmGbKyq6cQ+e7aKbFheV1opeJMH9xlsNVUqK+vLXiwtSevL\nKFMmQ1mDK29dlQe2vvsgajeZ2YJj5y5Fhx1b3RsAwHcfbMwBwGCryuSpK22Wp80IpBvbl1z5TFYl\nnImrBQD9UaMsjfqPt2cAwKPzV58q3h1LJWLZJjAWU64bWvdRCj7tlfUZcpRFaxhMFqUdJCJJD3Ul\nQSHMCVq5YlfovcI6AJDW5icc/+mXFCkASOsq25j5mbre/u4cACiL/OtBi2NmUlF9k7mn4G52vRQA\nyOrMZGoBX8NA481HG5bvCWR9YWEt+qgBfHNtNp4IAbC0zChbgKCkoLKn2jDawNF3tKJqXU1uQR1J\nKtXKxhjPI778LPBJ25ZG1lfKNRAmhd2TDgBAUpH0+4qZJ4z6OLs6uri6ewx1NGSDa+e/5qMbc/dk\nCrv1WW8AqeTl4bxcMiv3C5hqyQAAcXrw5m2hd3PK68QaI3f/+YXC00wFqM2Iu/BX5rnoos1Hl7tw\noO/3yehTn58rlsglM8mvk+ldZU0VJkACYHA11Fpvu3mRHQxCNvZlcdv2y6L6WgHABVR1eBwG3pwj\nHamotk4MsAAVHRUmQL0XQ0WHmuJLG6q7cyxAaLl4vcJhhd5gd72DTwrEkvpGavFHWbN5AkaoaLbU\nvt1Y5+XLZ2ldypnIiuFTtKA3ImBmpR0DgOR+yI1X7YV+HZKa4mqAB6jrqsmjjdv0UQo+7ZX1Wa6y\naPUloaarTslRXNXDJ1tkbWbY9jVh25s+c2yXBDEAoCyrqHWgaY7Z2Cm2AIDs0HNZrWqN6Hn+c7jp\noF3Ef8eARE77gzAv8QkJABz7oX1UGQCUrL1cqPabk5j7D/DRAoBtOHK2D3UyTPDweo4A0rqc+9TO\nSU07G07Vs9LSF//K6zh8JVK+EuiudACAQTAAkPWFaTfP/7Xvuy/mzvz5EQBA18lKnejeZ/1dyCMz\noaJrSJ0TIFMC/4rNKK0VklKuiZNxuwmSYtlLEqzusKBJSqJ+PVkEAETfj2Y5qDLkk5msLcinJpRG\ngwfosgCA4Dl5t9k1JW2eqPENeUwAhLqFjXbrayAouJsPAGA5Tx2m32KIzFLTUW81Yu7quwvy7zwF\nAGi4j7CQTZu4ZkM9tQAARcnZDd1Xfwieoxe1nS0/ZM/Wjdu2bty2dePuM7kAALPBztoEIHiWUQoA\n4LkN7kVpIa6FZ7+WG7i6sc7Lm8+Cx6EXCwGA7zHBHACEd87EV3RGJ4nKM3MEAKBiYsbrUBu/1Ed1\ninbqs1xl0RJC1dicDwDigtSyN2yf7SoEs6XwTF3vD8ZqAUB14s3WTj+U+0wbbwQAkvtBVwpbDz5E\nRQ+eUPlt0s9ShTrKotHbhSqMsqzSN58HLAAE32Wqj5sWE2Ab9KE6RA2nabPmlUoAcXFMyIVHdWTl\nndBbjU6eSuCNWru5MSSRdPR7TwsAxA/OJpT17Ikxr5/f4tX1fCuXQfY6lDmr5OyJ5GopIMoLD88O\nmGMBmM7bukU3KOxmdoWYrWFo5Txk5Gh3wcGZS0/LtXeyu9IB2L1m7Pra5XHkhajEtLzyelLVbKAz\ntaQmqakRSrv1WX8fcshc2FBa3ABbZYCwHjvINPFyAcNw8MLl4/jtpSepK6ukplMW46cOzrqUVyeW\nSkWVxUXVwk5qElF2cGCi3xfuXPDfmz/u+MpTBfLkc2P25XuNozyVAIvFG1Yx/7rTaPXewoFtDvqR\nNU8L62GtAmiPWTgvN6zY9L1Fdm2XEiSlMUFJ875244DluHrXFutTkclFQlXDPoNHD1cOXLAi5sVm\n19e+O8HVNjJQZQJgqOvI5GDxjUzNxCIA0saygpL64itn7s9f7sSC1tT16xsPR2SQFhNm++kDAJl6\n9konLLGvgqHaZ4QtAQBPr5y5eFm2L4yVpjVp8mIzwGqYvUZ4SWXB1evPAqbpAXoBa1dV7I8sNhi7\ndIpu69Lptjovdz4L8yLPZn2wuGlgVXf9bPJLG47lo+FxbCbp5UCgl5ulytnimnYvenUf1Tleqs9P\nleUpixajDa6phykAIDsuo67Hje9boe65+ecZdbExd7OLa5gGLmOmT6a8wueEnGjl2Yng95s+mg8A\n9TdPxrUdWklrUs7HNwwYqgy1YV98U/x7eA7HyXeBMwEAT67cpnawyaEru+A1DQCL7zLtgxlGLb9m\nW46ZZgkAyCq5GP6oTkpW3vzv/sR+y9yVoeY8cZaz7DpRyqGfI3vsRjsZjF6eE3q9+FiT8Mu6gxlU\nIYnyTm/caf/Tiv7qULf3mW/v0/K+HPkf0V3pAGDyTPv5zOvnM6/115VXgx9Q5dyNz/rbkEPm+tQT\n5wuGTTcB1LxWHohYSf3WCLRziF1am3o5TeJizwRh5f/vnf4AOun0oxmy4sbhs8/c39cDrGfOdbn0\nQ2JNxzJLa5IOB6YOXGDHBMNk1MJVowBUPC5VsmqlSxoywqKrh47XAJTs/ZfaA6h4JlTSa71KR5ZH\n7dzqvm3tWH1Aw9F3rqNv0y8prRX3a9+d67ho7/YhrXNMe/wPu8f/j73zDovieOP49/YaRz16UelN\nigIiEERR7A0bKtGIvcXYNTHFRI09atSfoinGgg1FrAii2LCBgqgIiChNEBCOXu6Ou/v9sUcV4SgK\nMft5fB653dnZ2Zl35p36vuSfcdsmLgjLzw7b9luPXd+7qULZYdJCh+qARRG7NwRntuEBDjmjPt1Y\nAFDw7EnNqZ7KdzExeTBQB93Sw1z+emRJUsCe0P7rBnEBbY9vVnsAgLAczNr2FNpO5mXO58rs2wGx\nc1fZEABQePtsXCNmLBt/Y/6jK7Eim250pk1/E/l7MQ12Gxppo1r41nryvF0gU1lUP8827GOvAABx\nVyI/8sbJ1kPj6Fg4j7eos3erOGL7hoCU2j1LukYfL2c2AOSFBj55v6MjLnq0789HPRc7csB19l7m\nXHVdknLyt6AMsl7Ioitb/BmyT3QJM0PWzPz16K2kPD4ACPOTHxzfPH9F4L/CMDWAyuLspMiQQ2u+\nnvrd+VpGXwVpZ9fOmP/76Vvxb4tF1SFfPgjx27LvTjOG/G0UjyjvwZFjQeHP095V7YqrLHrzJOzg\nd0t2PqjepNxWaf6UNJ3mivjDy5f8fe15dgUAiEtSHwWsW77nWYOxiXKCN/3yT3hCdlnbtRP8l6eP\nPq0EAMUBM0foM2XKZ0Hame9W+oYm8ioB8LOjzqxd7pdYb3JRUvpk90/7wpKLJQBK0+76/bwpPL+B\nb8q9vXnBvF/9w+OqvorPS44M2nfgWd363fpvF2aFbJ67YO+Fh2mFlQAgKnoTc3H/iqnrL79py7k4\nloGrgxIACBMf1m4lBGkP48sBgN3dzZgDiAse/Lb4l6MRaSUSAPysmDPrN11+IJTy5QAAIABJREFU\nS4at5EtnoNtO5mXNZ3F+RHAceeXd9aCElp9rEfMi/G8UA1B0HWbTqMWUD7RRLaOOPI/t3UemsqhC\nznKwmxqAigcnOmqLUgM/7Wpw1Ks8cquWpCwnMTxwx/xZay7U3frO7DRofFcaALwJCkxqsKNTmXll\nzfQ1h8Pic8gek6goNfL89jkrD8W14drNh6F1c3T6BK+hoKCgkA2aiuva06td2EDRteXjq83NfvJU\n9PrxyMZeHCDj0Ly5B1s16GDqe+3ym2mKyqebpn0b8jGM8rQpBNdtw8GfXeWQdnzuTL9/v532fwkf\nf782BQUFRSPIWS/aOFs9/l5UUmZ2YYWcnuPYaS5sABA8f5D2yf2x0BU0tdXkOFp23it6cQCI489c\nbv7x4roI04L+5z9i10TtblM9ja8fTOrY6o3VZchUVzkg7/KOs/8hfx7tDqWMKSgo2heaQmervl2t\n+ta9Kk48+ufDFu6aajl0rWHrDn1jWP0788zfYW2wK6Y84dDabaXuXVilGqqMpI9vWrEV0JW0+XeP\n+Ydn3Q980tKFcooWQCljCgqKdqUy50FIuK6zlZmuujwTgLgk+8XDm+cO+99q3xlSQXbMub93/NU2\nC4aSsuTQw8ltENFHR5QXefZQZHun4j8ItWZMQUFBQUHRznRgo6MUFBQUFBT/DShlTEFBQUFB0c5Q\nypiCgoKCgqKdoZQxBQUFBQVFO0MpYwoKCgoKinaGAQB0NfvBIz0cune3sTJQIQAg79zcGb4Jtc8V\nyBKGgoKCgqKtoXNtRvn4jOllo6/MAMqzEyKCTx86dj9T6heFptzvt4A1H3A1mndhofe+F/XbaZbx\ntF37pxsCAC9osfee+GrjKjQ5fffxUyb272mpLU9AUpbz8tGNwH/8byaXd1zDYZ9H/jAAgGUwatbk\nfpxGA8oShoKCgoKiTSG4Liv3rBta43WTo23Zd9pqV7v981eeT2/RaIhtOuH76YYN3WEaTNjg+7UV\ns+o3TV7LvM/EVW499OasOPryk5tDk4XPJn+qjH5IIMhNionn6fd20vlQWFnCUFBQUFC0GSzzCQtJ\nTZN9w3fb+dhy7T7zlnvbsFh2M+b1Dl8dxhNDUvE65PCRp7UsONEUzIaM/oILQPDyWX17X2zjCasn\nGzT4MjmLiVOsmADE6df+On0/Q6TVc8z0kaYswnTiVNuzPz0q/Ugf2Qo+n/xhAEDF8+0+w9eWCiUc\n+zWOTjoNDn9lCUNBQUFB0YYwdZ2dNQGg/Pa2veciS4EXqVt0XP2m64PVw9OOe+M6TwxB6rVjB2o9\nRKh6/DYOAFB082R0QZ35U7bp5O+mGALZT16qdDer56CUraqjBACFIbt2H39eAeB+uobz7nFaYGtq\ncAiUdrip6s8ofwgAkAiKS4VNmHyTJQwFBQUFRRtCV9JRBAAUZeRJp1yFBRmFAADCyE6X1cAzDF13\nL0cmAGSFnH1ex4Ey22zCd1P1gbTj6/1fvu8Wsiwl8jUAqDgOdDFQZDIUOjkPcNECgMyoxKIOp4nx\nWeUPZZuagoKCoqMi5peQOkbdykSZeJUnBtidbXXJmyqdtORoz+t7PmYaDB9tCgBICgip4/qRbTpx\n9SQDIO3IbycSmfPff5swPXD1Nr11C4eYDP7hyOCaq1d91x3pmK4UP6P8oZQxBQUFRUdF+DYqsWKC\nhhwY3b9b/22X0IRybZfxozSkd1mKbBpQV9nIW48doQ0AwscBYbXXQ9mmX638ygBIPbH5aBIfXRt8\nX2VxdlpqlsDEoGZIKXr3JjWrqIPOi35G+UMpYwoKCoqOiqQk2u9Eost0cwIMQw+fOR517hI00OqG\nJ7jO49xVAKDk9pnI/JqZU7aF9yoffSDt6Hr/JD7AbuhtLP3xW7fMtCQgybz594lbqSI9twkzhhh+\nMWuTHmvhNweSOt526s8ofyijHxQUFBQdF0GK/9Iluy48ySwFAElJeuTx3/fHSgBAUlpQUXehkq7p\n7u3IAoDcq6ee1XJHLG83y0sfkKQmiOyHj5swdty4fqbkYquiqce4UQMslQhAznyslyUB4MWuH7Yc\nvXY3/MbpLT/tiKkEYOA1wUb+k3xvc/ls8ocaGVNQUFB0ZMQlL4O2rwraXvWbZbnAnwYAuUlv6zpb\nZhkMHmMJAEi+cDGp9iImjWAxANAMBk39um7sLItRcy0y/nl8K6FUobOBCgDkJ74oEEnfXfQqLg92\n2pDv3IVLjyoTtfnXtZ7PJH+okTEFBQVFR4ag126n6ZruXw5WA4CiR/frGrXgWIwbqgcAoqf+1zPr\nHZ9tGjG/hFQmqpZdVenSd6ta2GoCAMpLKjridmp8NvnDAEBw7cZ69lCjA0wdC/IAsXK3cT4z34mA\nyqzbgZcTSiWyhGlVQigoKCgo3kfJddPuiaXhtx8nZxXTdewGjR9tKwcAKYEnEypqhSO49uMHcgGg\n7P7pu7y6mqH0/uKhg2pfYHdd4r9jmGodc4/il/cSJQ5daTBbtPF7hRO30iRd+nhPtSUA4NW9hKKO\n2cZ/LvnDAMDg2o37cqJe7ctM40HjjAEASdlXghNKJbKEaVVCKCgoKCgagMbRsXAeb1Fnb1JxxPYN\nASnCWlfoGn28nNkAkBca+KRFikGUc93Xb/guHyMCun1mLutTcyctYOeVjGYPJT8Rn0n+UGvGFBQU\nFB0YftrV4CgFJ2sjdTnSM0HUnUvH/a/GFdVZn2R2GjS+Kw0A3gQFJlU0HFVTSMpf/LN8bvLEqRP7\n9bDU4gCoyH358ObZQyeuJ5V11OHW55I/tG6OTq2MgoKCgoKCgqI1UBu4KCgoKCgo2hlKGVNQUFBQ\nULQzlDKmoKCgoKBoZyhlTEFBQUFB0c5QypiCgoKCgqKdoZQxBQUFBQVFO0MpYwoKCgoKinaGUsYU\nFBQUFBTtDGWBi6LtoKv1nLhg1tCelhpy5IXia8u9tj9robUbCorPBpq87dw/94zSwqs/v1oakC5s\n+ol2g67tueXQcms6L2SVz/+iizuoc4jPEAYA0NXsB4/0cOje3cbKQIUAgLxzc2f4JtQ4vCAUjd1G\nDHBzsbcy0tHkytEgLEhLeHT13IlT99MrOqqVNIpWo+C66cwmu+rpE0FhVkp8zN3g8xdup5S+V0kJ\n1S+WbZzixPq0SWwQQtF04MTJY/s4WGhxaOAXZGcmx0XcuBF2LSr1/XS3HmZn7wN/zTAA8HKn15LL\n7z5q+0UomPTxmjy8r6NlJxUGxOW89FfRIcf/Ovk4v+M2myzLpYd2j1YFAJSELfHZ8ri8nVP0iWGZ\nTFw1SgsounIg5E2NJpa1fskqz7LIRpNlIcq+eiBo2g5P9SHLpobO2hP/L+hL07k2o3x8xvSy0Vdm\nAOXZCRHBpw8du58pIHUTTbnfbwFrrBt+Nu/CQu99L2p03Yfzp6aaN8xbv/mz/04RfPB+UzAAgGUw\natbkfpxGgrEMPRfOH6xSc4HJ1bcdMNO2f/8zKxYcqO2jmeIzhqWiY+4yxNxliFfk/uWrL6RU1PMV\n6mJFauJk/9Ubb2TxJRJRSRb/k6eSUHZYtHPzGN3qC2yutpG9tpF9P5vCCctuFn/yBLUhTN0hK3d8\n31u9+gLBUTOwGeDtfjnwcX6HbTVZei5OqlU/FO366LMev2h5m/Xvg9AcOGd8ZwAZ54/HNtJYNly/\nZJVn2WRDlrIofxl4MtlzgZGW15xBZ1ZceNsRfRjXQHBdVu5ZN7Tmuznaln2nrXa12z9/5fn05spZ\nO8pq1TS1BILcpJh4nn5vJ52GQ4oqefG3b4RHxqflVrC7OI2d42nNAc1w3KJRV74+1qGnXShajyT9\nXkhMOdfEzsVKnQYoOc37deaL2XvreiiTU2EDAAqeRcQkpn56LUzCMhi1UNpyZT84dSkiuYTB1TNz\ncHXvqdfEkx0elpHXmurWtiTlYUQiT6Jm2tPRpH2T1RQMTQdXPQAQV4JgQN3ZSY/1ohUjiH8bLMOR\nU2wZAJIuXvtAS9lI/ZJRnmWUDdnKojLr+rnYr5fa0Cy9vUxC/pfYkcuKZT5hIamJs2/4bjsfW67d\nZ95ybxsWy27GvN7hq8N4YkgqXoccPvK01posTcFsyOgvuAAEL59l1/K21Fj+iAqfnj7kp84AQFPq\nOsqrhxKAstgLATGFIgCi/Mf5rfLbxACAiufbfYavLRVKOPZrHJ10GhgiC5KPL/LcnVM9JfLw8bMC\n/RO/2NGBLj06syll/LlT+DjAd3s8H0zdoT/uX+XMAbRHedsfXXu/UAL5HuvOr3epNTvN9dxx0RNA\nrTVjBaeNF9c60oGcc99vzR08b0IfU2WiOOXWkV27AhJKqufQCHnjAV/6eLk7mGvK0SDmF+Wmv4qN\nDPM7GJYha3tAkzex7wQAyDyyZv2Bqnbm+MHdOtY29LqDR4Jj4O41yatvz656inTwC96+fnw7OODc\n1dgC6ViAZTjt8L5JegDit361jzluxsRB3fUUaKLSrOgja9aezLFc7bdtgEKtGM2WBAQtIf/MOD5n\nml8K3XrJiW3DVAG82vfl4rOZZMSE2oCNx1Z3pwMV4Wsmr44olmVqiabYfaqXEQBAnHh0yeLjCaSf\nGKZ6Nw/LWt5Z6VybIV9NHdnHzoDLQmVh+rPbQcf+CXrKq91QNBGGZTn/yB+eaoDo4a/zAsxnL/R0\n6swR5b8KP/WH78lnBc2bDydU7NwMASA10F/oNdkUnb5w0DyeklFrvMVQ7/nV17PHuRgq04qT7wfu\nD5JbvGGiHoD4LaOXh+VLpGm2HfqVz3A3O0M1FlCR9zrm7iW/48GxhdKIZJQxNFrunLYrryrYpkMH\n6QJAypWH7z4wyPxw/YJM8iyrbMhQFmQkvOirCbDpCo2BIyz+3vGs464qMHWdnTUBoPz2tr3nIkuB\nF6lbdFz9puuD1cPTjnvjOk8MQeq1YwdqPUSoevw2DgBQdPNkdIGM+SMujrvoHwcAoOt4upLKOO/x\nhSPH09pE/xEAIBEUlwobFS9xaU5OncUJsbC0nCxAflF5R3VzSdHmCN+GHT6fBQBgW/U2ZDc7AlXX\nlVtn9TVVJgAoGbovWLfAUYkmvcc0/HKz749erhaacjQAINjKWqb2HpMGGzZnHVpcKSAlVdXUmMus\nviwRZMVGZ9SqNHQ112V7/lozqZ+NniIdANhc3a79Ji6b312RhvfQHbFxx9IxdnoKNAB0BR0LA0WZ\nTiKUJ168nA0AMBnaR1vaNye4DiNt6ABQfCfwmawtO9uon6M8AIAXtOtMQrXHNmHe0yt3M6WNNEN7\n0Hf7937j6WTAZQEAQ6WL/ch52w79NKxzdV7IEkYK3cR785aJTp05AOiqJn3nbtk8xah5uwJoStb9\nzAAg+9Gd2xGZAGDYuxu3JvcIJbtF2zdMdzVUJgCakpHr1C0/DdWtFwtTb8SPf+1Z4OlkqEa+Xk7d\n2MVz0d4/fhysVX8XamMy1lS5t2F5VaW8i7uTGgC8exTzrqmmsoH6JZM8yyQbMpRFNeLCuHsZAKDS\nw72ZBf5poSvpKAIAijLypN8pLMgoBAAQRna6DaWdoevu5cgEgKyQs8/Lam7Inj8fgxa+hq7Za7wj\nCwBKH4a8aq8JSYp2QJD9LIkUeqUunRUIABXPd82YO9tn7qIdcWSrUXJz6wKfubN95s6ad/BFPeFg\naim+uLBn/e/HHpWSkbh5mkunYtimo7zMCABlUX8unjlhxATvSQt/2Hz0WlRO4z3FukhK467HVgIA\nx3Xl0ZO/rfDpb6vLeU/OCfW+S74fSU70FcdeOPj7r5u2bD909t6bgoZfxrXSZxTGhvn/sX/vnsNn\nb77IEUiAihd7F83ymTt75pqzZAOONL+l82eT377ifKYQgDA1+FIKAMBwWG89JgAQqg5Du9EBgHfz\nYu22oFHoqkbGSgCAiri7rxteH6Zr91/5bW81ACiOObln49rdJx8WAYCK86Ifh+oyZA1Tg5qZ0oug\nfRt2/Hk5RQQANOPJM52b1TrJm7rbMACUPY9KTol+WgiAZu5hWa0eWfojF47SBgAURR3/39btp6KL\nOMp1+0OMTsNWLf9CBUDpU/+NPyyau+yHzWdiywGouC1f5K5eNz2NyFjT5d5m5VX1QhUzOy0AEL15\nniXDAKp+/ZJJnmWRDaDpsqiFMCeeXGlSs7Hk0ptOd3sh5peQ2aVuZaJMZgu7s620L6fSSUvu/W9j\nGgwfbQoASAoISa095daM/PkItORoE41jNvnHpT2ZAErv+O5/2MyeIsW/G1EJrwxgAeCoytORJxZX\n5KWn5QHyumVigAAqi7LSUtM+0EV74fvLH5ezxcxEjb5HpnQC2LqdlOlRZSKAzlEhZ3wry4vy84uK\ny8XFxbyMpEfBzUxfTtjG1YZrfh5jyQE0bAbNtBk0E/mxIcd8D156XiSd3qFrun3Zkw0AothdS74L\nzCSbybALAX7qnPKGBDrvwk9zf4+SPn/an8lmVEIi4WWm8QCmuGqDDD8vPS217m7qyoxbZ2OnL7Uh\nYDCob+fAI8kiVach1gQAZAUHy96TpSuoSSfEC7OKGh5hMXT6je7GBIC8c2t/2f+8XIKb914zj+wc\npw3CalT/TsFHUyUyhKmlM4QxO7/3vZYnRtgTgdGhb7rSwLbpby4XHimrTpIz6m3LASBOupvM54vu\nxwuHuDCZNu6mnLtRZQCYOn08ugAA8s7/uu6P2HLQ7qUpH9w1RLUmDmbnIaMsCQCCiM0b/rldJAGQ\n8CKNbXd0qQnY9sMdVG5crb2XvBEZa7rc26q8qspEzVADAFCYwZPp2fr1SyiDPMsgG0DTZVE3Hfnp\nBYA2oGaiwUBOR93EJXwblVgxQUMOjO7frf+2S2hCubbL+FEa0rssRTYNqFuf5a3HjtAGAOHjgLDa\n68XNy5+2p9kjYxrHePzP22da0AFB7OFVG27kdtRSovjoSJrfDeMlvs4XAxAVv5NuA2XKMciOZ0Xq\nvWdCAFB2W3Ek0P/Qpu8XTRzkqPf+qLYpRLx7fy4ZO3v13kuP0qSLXao2Q77x9V1RPYZid3YgjyhU\nPgkMe1tL+YhK8koakujM4MCnRTXtvUTIl3m4Ls67HxAtAAC9gYM6swhVxxFWBACkXQ5506ZbY9hd\nenQGABRFhb2Sdikqkm/d4wEAdO2MODSZwtTi1U3psRgRLzo8nXyLnoGyzEMlZufe9lwASI9IKBFL\nSpPupgCAvG1vY3KNg6lrQw6Li6OvJZUDgKTsxY2oklpx0OQN7cihDsv5V/8rt4JDbwWH3go6upTc\nnERomarVGVQ0ImOylHvblhddTpk8dM8vbfYhUGn9kkGeZaLJsqiDuKKU7GFyVJpfBT8dkpJovxOJ\nYgBgGHr4zPl67igHteq7BA31RrUE13mcuwoAlNw+E1nnOGDz8qftaV4u0zjG43/eucBODqiIObhs\npf+LMmpU/F+DrqhOrk6hPL+82T2xSkFVV1RcX3TEeTc2rD35uID8pWJk12/ctBXbD5zaO9VWudmt\ngbjsTcSpvT9MGT/W55cDt94BANQHLPuqK9kyMuWVyMWk0ncFfFlkuCirsMW9TnFh5Lm7JQCgPWCA\nsV7PodY0AEi4dCOjGRs/RKU8ctYVKjrKDc5o0ZiKCuSNstzS6tRKynLJ52gcZTZNljC1k15aUCFt\nr8TledLRAVOBLWt5MLUdv9ACABjMPnYx9FbQseVmAACuY69OLAA0poI0PaXvqtMjKsmrrYwJtop8\nYy9hybPqtLiNyJhM5d425SVFIqqUbgJjyNaDabh+NS7PTcsGZCiLutDoDLKURUJRh27lBSn+S5fs\nuvAksxQAJCXpkcd/3x8rAQBJjfhKoWu6e5MLrLlXT9U9k9vM/Gl7mjFNTeOYeq/5fV43NlB8f+/y\nNUEplLmP/yAsbVsTUjKLU9+0sQUNES/qnyWTT+pZdHewtXNwdOljq8sE28p71ZR70/e+bNEgUlSS\nGum//ldu193jtACurZ0283mqEMKyEj7ABhQ0VFg0NC3JElELpgGqHy6NPXeV12+MGrQ8Jk0usKIB\nED0NvPehvbUNf0lByusSGCsCclauxnLRse8tDUqEJaWVAAOQ15CnA6TmoMlrkFOYkvIivkQiajpM\nrSgJRTUOgVIxAEJeXToVKizly1juhJpd7w8YSdDq5ah14PWbSlFZBbm4wVGtHoAR8qq1ta9YUCL9\n1vyQ71b4va6vEcVlBbLKhmzl3iblJUVUnFUEqABKmoqyaOMm6lfD8ty0bMhUFnXDK2qSy9DFWYUd\n15wMAEBc8jJo+6qg7VW/WZYL/GkAkJv0tu6aE8tg8BhLAEDyhYtJdaSmufnT9sjaw6XJW0z6dee8\nbmwg99pv3/x8idLE/0mYuv2nepIn0fnP76S07dY9GkEDIC7LjL9/6dS+dd9On7w7AQCg2c1ESeax\nsby115f9DORrh6eRMQOQSFUq/81jcs6V0X1sX+1aXVKGooZSszdSSMSV0tpAMBpOJ//VhSuZAMB1\nGWYIAILocxG85rVxFa9vPiTHpmojFo+zlK8aDTLUbAe66rEA8NOjMwAAyo4eRlKLpGyDPq7ktN3b\nmORyiUxhamHar4cGAQAMTce+5NouPzO1SDatRKjY9ianktMD927dsG3rhm1bN+w5lwoAMOjVXZ0A\n+DmJ5DhPpUevLqQWYhu52ivXikZSmvKU3CCnamXOKsx5967mX14piysnlnnoJmu5t0V5kQjzXpLV\nRL6zgUqT2riB+iWTPDctG7KURW0IhU6GXACofBOX28FPrhL02omna7p/OVgNAIoe3a9r9INjMW6o\nHgCInvpfz6yjXJubPx8BBgCCazfWs4caHWDqWJC7DpW7jfOZ+U4EVGbdDrycwNceuXr7HGsWAMHL\nmDyDYdOmV8cgzLx5KiiZUs2fNyr2XvOXl3FN7L6w1iArevb5kzFFbVrqzC4Td/1o9+rq5bBH8Wl5\nZWIFA+fu5HKiqLhYIOuraAwtl+lrZk7nJdy5Ff08OacEKuYeY0dqAgCKEmLfCQFA9O62f9TMH3uw\nwLBdvmuL6ZmrMW8FCroWvQb24/jNXnK7sFlfJirNLSCHd0ZDx/ZKCk0rrZRIhAVZb4uqky1Iu3o+\n6cv5ptKfpXfOxzTvHYCkJOZwQEo/H0OAMP9q9+lekQ8SeRJVkx5OZvQry8LvZaIy6/q5p7MWd2NA\nbeyaNRWHQxLFRsOmemkDgDju/PUMIQBZwtRAt126bZn6mQS63ZivzMkvib2eKJutL5qChYclAQAZ\n189duSbdF8aIVxs5er4BYNLXWjk4u+DNjTs5k8ZpAVqTflrG+/Nqls7ghWM060QkTAsOTp40zQjQ\nn7l1i6Z/0P1kXiVTWdeku1v/gY78A5MXnpVxf43M5d4G5SWl/FX4S3FvGwJdehjLn89q2ADch+uX\nbPLcpGzIVha1ehtsfRd9AEDy3cTSjt26K7lu2j2xNPz24+SsYrqO3aDxo23lACAl8GRdq0Rc+/ED\nuQBQdv/03bpdq2bnz0eAAYDBtRv35cQ65lyYxoPGGQMAkrKvBCdUck0MpJPmLLMBE83qRBGXdvEy\npYw/c2hdXId1qflZHLl/9QEZm+RmQFfRt/ecae85s+7lghsBz2RuD6rCqVm6jbF0q3Or5IGvX5x0\nB4w4L2znVsdtPw3WBpRtR023HVUVKrb55xgkJXHX4kV21nQQJt4/7PQGUGX0o7pjXpl9OyB27iob\nAgAKb5+Na4ENWUFywJrNxjtWuakBUDRyGmAkvVEo/V+UHbbttx67vndThbLDpIUO1U8WRezeEEwO\nBWQJUwMvMdeg/7Rl/as/9dXRAw9kbJTkjPp0YwFAwbMnNad6Kt/FxOTBQB10Sw9z+euRJUkBe0L7\nrxvEBbQ9vlntAQDCcjBr2x4Spp3dsNP69yU9laBk7TnL2rP2a1JkSowUmcu9LcqLfGP+oyuxIptu\ndKZNfxP5ezENdhs+XL9klOemZEPGsqiOm23Yx14BAOKuROZ28Flq0Dg6Fs7jLTxqXyuO2L4hIKV2\nz5Ku0cfLmQ0AeaGBT+oNJJqbPx+DDrxNjqLDUVmcnRQZcmjN11O/O9/26xSivAdHjgWFP097Vyxd\nk6wsevMk7OB3S3Y+KJK9PSi68+u8H/84eyex+pBHZVH2izvn/7dwzrrgnBpdI8q9vXnBvF/9w+Oy\ny8jY+bzkyKB9B2RX/DVx5QRv+uWf8ISqmBpCnB8RHEfG/O56UELLbBoJM4M3zZy59fj1+EzSnY64\nnJf6+PLRG1XbfIVZIZvnLth74WFaIal6i97EXNy/Yur6yzX+CWQJU/VhSf4/rDzxMJMPQMhLDPP9\ndpVfsowLtCwDVwclABAmPqx9mlOQ9jC+HADY3d2MOYC44MFvi385GpFWIgHAz4o5s37T5bdk2Eq+\ndAZakHZ27Yz5v5++Ff+2WDpHXlmc/fJBiN+WfXeadaJD1nJvk/ICADEvwv9GMQBF12E2jR5ZbbB+\nySrPjcqGrGVRhZzlYDc1ABUPTjQvd9sDftrV4KhXeeRWLUlZTmJ44I75s9ZcqLv1ndlp0PiuNAB4\nExSYVG8g0dz8+SjQujk6feRXUFBQADSVXj8e2diLA2Qcmjf3YGqbHmpqY2rMYUb+4rUysvTTvp2m\n4rr29GoXNlB0bfn49nLB2ZblxdT32uU30xSVTzdN+zYkr6OPNAmu24aDP7vKIe343Jkyd74oWgnl\nz5iC4qNCV9DUVpPjaNl5r+jFASCOP3O5bY8X/9uRs160cbZ6/L2opMzswgo5Pcex01zYACB4/uBD\ntmM+Hh+jvIRpQf/zH7Frona3qZ7G1w8mdeziZ3UZMtVVDsi7vOPsf8ifR7tDKWMKio8JXWvYukPf\nGFb/zjzzd1iHNWfUTtAUOlv17WrVt+5VceLRPx+2cNdUy/lI5VWecGjttlL3LqxSDVVGUnZHNudP\nV9Lm3z3mH551P/AJ5Rz3E0IpYwqKT4QgO+bc3zv+imvQ3OZ/mMqcByGVMUm/AAAgAElEQVThus5W\nZrrq8kwA4pLsFw9vnjvsf6t9Z0jbtLwkZcmhh5PbIKKPjigv8uyhyPZOxX8Qas2YgoKCgoKinaF2\nU1NQUFBQULQzlDKmoKCgoKBoZyhlTEFBQUFB0c5QypiCgoKCgqKdoZQxBQVF2yDv8EtocOit4NBL\ny23lWhYFTd523tFbwaG39nh1YbZt6ihkg67tuS34VnDo2cUOsrtnoWg9DACgq9kPHunh0L27jZWB\nCgEAeefmzvBNqHWugKXnMWVi3x7WlqaduGwA4vLc1Of3wgKPXojKltnLOsW/DHmnLSfXuzCB0uuL\np2yOIS0Csq1XHP59pAqApz96rbhTCgCEounAiZPH9nGw0OLQwC/IzkyOi7hxI+xaVKqMXhaZnb0P\n/DXjAy7MALz1mz/773+zBYKaD3y502vJ5XcNZYssYdoMQsGkj9fk4X0dLTupMCAu56W/ig45/tfJ\nx/ntaCCKZTJx1SgtoOjKgZAa25xtJIcyyViq/MDtp37qWvt6ZXF28vOHV0/5X47KrSuBLMulh3aP\nVgUAlIQt8dnyuNpqJtN0/t++3loAkHpk1swTaUIAUOy9NXC9bZ0GVta602R5EYpm/afMGtPX3kiV\nDWFB6pMbF44cDEkg/R+yDKcd3jeJdECQtN9nzvksEQjNITsDFpMeBfMCl0zd9UIAAKLsqweCpu3w\nVB+ybGrorD3x7WMArVnQuTajfHzG9LLRV2YA5dkJEcGnDx27nyn100JT7vdbwBrrhp/Nu7DQe98L\ngSxhqn4SSqYDx3mP7utgqa1IoLL0Xerzh8F//n3xZesOwREAwDIYNWuyZy8bqSZuCLbRcJ9BLtak\nJgZAcDSMHD1nbTy6YbQB1YH9b0MoOyza7fuDVy9LLQ4NANhcbSP7ft7L1i3uqdDeiaNoEKbukFV/\n//Pd5P42nVQYAEBw1AxsBni7fxIv6h+C0Bw4Z3xnABnnj8c2297ER5NDhpK2mcuIr3f4rvJQr+ME\nkaXn4qRa9UPRro9+w5lnMHyE6QeyVdY0N1lehHKPObv/XjbGxUiVDQBMroHjmIW7/1roovpeo27S\n21aFAGjKNu6m9e8BAMpfBp5MBqDlNWeQrixOmNsVguuycs+OxUPt9JVJsxkcbcu+01b/+Ztnl48h\nzEztAT//4fvDxD5W2oqkc1EFTROnYYMs5JvvYaYuVUY/JBDkJsXE8/R7O+k0GFBSwctJfPksLikj\nt4BPqHRxGDLETgNg2U6dZh2yNqblZtQp/uWwDEYtHKMLAMh+cOpSRHIJg6tn5uDq3lOviSdrIyp8\nevqQnzoDAE2p6yivHkoAymIvBMQUigCI8h/nd2SrRf8uWEZea77vrU7+KEl5GJHIk6iZ9nQ0aedk\nGY6cYssAkHTxWnqzXeg2LYfNlLGKGP+/w3Igr2U1cKyHKRNQcps9Uv/OoWpLJAxNB1c9ABBXgmBA\n3dlJj/Wiodkb9QFeNofXR7/vgETGutN0eXEsfX4Y1RkAIEiJuP1CYuLuYiQHaA9ZPjd8+pboOu6G\naObu1orXwsXm/S0/YPSpMuv6udivl9rQLL29TEL+l9iRZ6RY5hMWDlUHgOwbvtvOx5Zr95m33NuG\nxbKbMa93+OownhiSitchh488rfWxNAWzIaO/4AIQvHyWXQnIFAYAQ2/U9yv6qQIQv3lw9sL9xBwB\nU1mjs6U5O7fV7RMDACqeb/cZvrZUKOHYr3F00mnIOUXxvR/H3Kt9ISAkc9/RGQaAvI4mh0B5R7d9\nTvGRoMmb2HcCAGQeWbP+QFVbdPzgbh1rG7rMU1zi4riL/nEAALqOpyvZUOY9vnDkeFq9Zrlmwi1+\n61f7mONmTBzUXU+BJirNij6yZu3JVIGC08aLax3pQM6577fmDp43oY+pMlGccuvIrl0BCSXVgkrI\nGw/40sfL3cFcU44GMb8oN/1VbGSY38GwDAFQ21nCw1/nBZjPXujp1Jkjyn8VfuoP35PParwINpGe\nHMvVftsG1B7lmC0JCFpC/il1s8jp1nQYQMbvahKaYvepXqSDPXHi0SWLjyeUSQCAqd7Nw5InBlgW\nC/x3jlIrvPXHNWWvMfZqxbGndx947bJo0UAj+dLky3t/2XGD9DJHKFmM+HruxAFdNVn8t5Hn9u2J\nkzkRDcA2HTpIFwBSrjx812wDlDLIoUwyVjO8KUm8G3LhpQC4FJqudWaFDQHoWXWWQ5UyJlTs3AwB\nIDXQX+g12RSdvnDQPJ6S0UDSFXuP7cGNuV1/AUC2utNkeQGKtmMGagAA3pxYMvtIkgCsE1/uPeRj\nAKj0H2u3//GdaseNhSnFKoY2HiacR8I+3eRQnsHjdFJ7L8FiXvTVBNh0hcbAERZ/73jWcQdbTF1n\nZ00AKL+9be+5yFLgReoWHVe/6fpg9fC04964zhNDkHrt2IFaDxGqHr+NAwAU3TwZTdZlWcKAZTJ6\nkgUBIN1/yezDCdXT0ufb4lMIAJAIikubs/BLsFS69BhMdgqRFvGyGQ0BxWeHuFJAlr+qqTG3ZslC\nIsiKjc5o9vimOeiO2Lhj6Rg7PQUaALqCjoWBYp0pOVXXlVtn9TVVJgAoGbovWLfAsdqDHdPwy82+\nP3q5WmjK0QCAYCtrmdp7TBps+N7UFt3Ee/OWiU6dOQDoqiZ9527ZPMWooQmwptLTVjT2XTLANurn\nKA8A4AXtOiNt2QEI855euZtZMwhScZ87zl6dAE3FZsLq31cNNJIHoGA0bMH0bhwAYHUZu2XbN8O6\narIAsHWdJq7b6WPObvFXMbu4O6kBwLtHMe9aMMr4eHIorigoIiOQ1FLWNCXrfmYAkP3ozu2ITAAw\n7N2N+16JZ0enisF2GNdb8/0JX5nS3HR5sTp90ZUcQqVdDiNVuiDt+uUkAADL3NWgplQkmVFPCiFv\n52Zu7uqggorYiIZdcYgL4+5lAIBKD/cGhb2jQFfSUQQAFGXkVbkRLcggnTgTRna6DaWdoevu5cgE\ngKyQs88bdDDdcBimXk8ndQBIDc/74iffgBvBobeCAv3Wfz3IQK61k9TNtU3NMpt3fPdYzerf5UkX\n9244/m/eVkPRWiSlcddjK7t3Y4DjuvLoyaGh50OuXL33/O0nmCvhWumjMDYs5O7LXCFHz8bFVlC3\nR8nUUoy/sOfMK9UhcyY7KgBKbp7m/4uMKgPANh3lZUYAKIv683vfa6+KCWVt427OHgN1G+iVqpkp\nvQjaF/CCbj925jBDOmjGk2c6n/85vKDeJzaYnooXexfNOsKgMXWHbVwzRhtAmt/STbfzxAAkwoIs\nIWQLI9t3yQBd1chYCQBQEXf3dWNTF5IXh77bJ56+Y0ZXAngT8NOW7DHbFvRgK5jbaDKj0uV6TPOx\nJtuPnHt+Z6LKTYdNH9jyiW5CxcxOCwBEb57X/2BZ+EhySGPIa1qP9XYk1dmriNfV7iTlTd1tGADK\nnkclp/CfFk7WU6GZe1gqhdyt69yCF3HqldVK165e/ToFn+Q1P80ylJecljE5uBVmvqyaaRcVpaSX\nw5QDKHXppEDEV4Xlp96LF7q5OI/1EmlAEnsnubxbgx8uzIlP5aMTG2o2llx6XIf1bSLml5D6R93K\nRJl4lScG2J1tyal/qHTSkqM9r+95nWkwfDS5WJ4UEPIB15gNh2Fqm5ETEAaTvq7aCEgo6vcY/aON\nvtzcny60zgFIaxxF5D25eTUsJodSxf9tRDlhG1cbrvl5jCUH0LAZNNNm0Ezkx4Yc8z146XnRR1XJ\neRd+mvt7lPQdp/2ZbEbdyvDC95c/LmeLmYkafY9M6QSwdTsp06PKRACdo0LOCleWF+XnFxWXi4uL\neRlJj4Ibeo0wZuf3vtfyxAh7IjA69E1XGtg2/c3lwiPrq7+G0iOR8DLTeABTnC9tSPl56WmpdXZK\nS/hNh5Htu2SArqAmnRAvrHZX3zA5jx7GxVY+zJzRtTOKnj54+jy3Uzp6mEJJR4kOOaMB3cnjS6l/\nrd54NE0A4l622uHVPVo4jGKoGZLtXGEGr0VuE9tcDjUm7L40odZvXqTvxqDMqhyTM+ptywEgTrqb\nzOeL7scLh7gwmTbuppy79bpFxY/PXs93HWYwfLjJWb/mp7np8iLYSuTuL1QUVVR/qKi8sALgAJDj\nsmvG6+KypPBXcLF06QMg9X5ckdUHPl+Un14AaANqJhoMdFhlLHwblVgxQUMOjO7frf+2S2hCubbL\n+FEa0rssRTYNqKuM5a3HjtAGAOHjgLAPqM+Gw9DYykrV4l3w4PjfQSmsbmPmju/KBtth1qSuV39v\n1Xx+86bRRHmRJ44d8/M/e/lhmgDq3YfO37nvx4ENTL9Q/JcQ8e79uWTs7NV7Lz1Kkwqjqs2Qb3x9\nV7irf8yDipnBgU9rtbISIb/usJaX+DpfDEBU/K6YvMKUY0hbrdR7z4QAoOy24kig/6FN3y+aOMhR\nj9Ngcl/dlB4fEfGiw9MBAGw9A+X3xL6p9LQVjXxXm1LJr5RIKisqAUBYUSmu+pvFYYJQ7NyF1BFZ\nd+69FQCAOD/6+ssWv4wup0zqdn5p/ZGMrHxEORS/PrPCZ+25V9VJY3bubc8FgPSIhBKxpDTpbgoA\nyNv2Nq4/Uy8pSzwflAVoDPSyUqhfTG2bZlkyTlTw7OEb8s/cmCcfXhAQV5SSPUOOSsPVomMgKYn2\nO5EoBgCGoYfPnK/njnKoWQMnaKiX4wTXeZy7CgCU3D4T2fAxvg+GkVT/WXJzy69HQ2+HX/LdsPuJ\nGABUuvfs1LqDRc1UxrzoM0cP/31o35af503Z9ZgPQMl1vpdZR15ToGgNjdVuSe2b4rI3Eaf2/jBl\n/FifXw7cegcAUB+w7KuuLTT+IAtFWYWN9tcrBVUtjbj+d4jzbmxYe/JxAflLxciu37hpK7YfOLV3\nqq1y/TohLi2oGm+Iy/OqVo8U2O/VnabS01Y08l0yICrlSadaVXSUWzQzRmMQNIKpIFU6pbxS6VeL\nKwqLWzSoBQCJqJKMhmA00LlvDzmsiPH33XvqQTYAEMbjVvqY18TB1Hb8QgsAYDD72MXQW0HHlpsB\nALiOvd4/HSZMv3w+CVB0H9uD20CnqfE0N11eYn6xdCcRR1muWirpHBVpeisK+LV1jvDtowepZQJB\nRVbk/fQPlxeNziDjEglFHdqShCDFf+mSXReeZJYCgKQkPfL47/tjJQAgqam6Uuia7t6OLADIvXrq\nWcPH5z4YRiIsq5p+evM4mVy8Fxe9jMkCACi3sDpV0+IuT2VOxNVXAAB1SwPKUMvniaSilFyEoLNq\n+nwEXY5sLQWl/Pf7laKS1Ej/9b+eyQEAcG3ttD/eMXSJSNLyVkLEi/pnyeTRXy775beDZ8OevRUC\nANvKe9UUk3qNKaGoVjU0IOTVpVOGwgY+vlXp+WSIClJekydd5KxcjVvaVxILS6XtOEdVXqo9aWxl\nxRZv4BIVZxUBAJQ0Fetr4/aRw5LEu5dPHVy7cFeMAAC0veYM1JGmjFCz6/0B4yFavRy13muTK9+G\nBz6uBKvH2N6aDT3UWJplKK+KnNfkYjRT10xV+nK6kkEXclNXcXpGXcs7gsQ/fcaNGDjGZ8uTRmZV\nCUVNcqm6OKuwg+/QFZe8DNq+atqwoYPchw4ePueng2m6ejQAyE16W9cOB8tg8BjSyknyhYtJDa+w\nNhJGmJ+e/8FUVLa20yKbFqWx1LS4rDp9OpqCYXfdqkS0pINO0fER8l7nAQDkrD2syB4XTcG0jz25\nfZH3OrcSgLy115f9DORrSxKNRkiFRdJR1ROZQnFZZvz9S6f2rft2+uTdCQAAzW4m9fuWpv16aJDH\n+zUd+3YBAPAzU4uaNwqWiCulWUEwPlTrZAnTeipe33xIju/VRiweZ1ltq4ChZjvQVU/GWS5xyZt0\ncsCm18tJk7RDodLtA0YkZEGY9zKFDwDynQ1U6mnj9pRDUXbYH6ffAgDRdYqPjQINAKFi25vcqpYe\nuHfrhm1bN2zbumHPuVQAgEGv7u9PMIt5EScflIOm76Rd+7JMaW66vAQZD+JJtWowxIO0PMLq3HcY\nWRiCxPupLZivIBQ6GXIBoPJNXO5HPRTRegh67Ryka7p/OVgNAIoe3U+vo0w5FuOG6gGA6Kn/9cyG\nZ+gbCyN8++w1mZed7Y3JgiCUzexI0xy5Se9al08MAATXbqxnDzU6wNSxIDtTyt3G+cx8JwIqs24H\nXk7gaw5Zd2C6/Mvopy9evc0rFdAUO3UfMNieND7z+n5icQdtcSlaR2VOxIPsOfragOqw9X8Z3I1O\nl+g6ulmTuyNyH0ZmCgEaQ8tl+pqZ03kJd25FP0/OKYGKucfYkeQAoCghtpUC+pFgdpm460e7V1cv\nhz2KT8srEysYOHcnm0lRcXG9Tdmg2y7dtkz9TALdbsxX5gAAQez1xGZaCRSV5haIAQIwGjq2V1Jo\nWmmlRCIsyHpbVPM6WcK0HklJzOGAlH4+hgBh/tXu070iHyTyJKomPZzM6FeWhd/LlGkcVJF87UnF\nAFc5wGj+2mX0U9EVJsPnOrdiUaL8VfhLcW8bAl16GMufzyqudat95VCYHOD3yOtbRza4w2cNOb70\nTAbHwsOSAICM6+euXEslY2bEq40cPd8AMOlrrRycXVo3EklxzNnrPLfhdY70ypbmJssLKHl2/hrP\nbaQaoD9p1x8mtxPFxu5fGJLR3Dz7uFCCZs8LsPVd9AEAyXcT37dW0qFQct20e2Jp+O3HyVnFdB27\nQeNHk5bRUwJPJtSupQTXfvxALgCU3T99l/eB5eLGwkiKYy9FlDv14UCx77c/Z/0TnMLqNmp2dwIA\nXl9/2MpdbgwADK7duC8n1jH5wjQeNM4YAJCUfSU4gQ/QCJamhUt/C5e6z4uTT2y7nEHZRvpMEbw+\nuzd04LpBqgDUrHsNqDHdWhS+51QiHzWreWqWbmMs3eo8XfLA1y+uo5oLoKvo23vOtPecWfdywY2A\nZ/XbHl5irkH/acv6V/2WvDp64EH9c01NISmJuxYvsrOmgzDx/mGnN4BaBj1kD9MWCJID1mw23rHK\nTQ2AopHTACPpjULZ45AURx32i3OebUUHrfOAucsGAOC9eidn0sg8bKOI8x9diRXZdKMzbfqbyN+L\nqb0luX3lUMy7d/h8juMELcB08nS70O2CPt1YAFDw7EnNKazKdzExeTBQB93Sw1z++uP6sVS8PH/p\n7XAf3VqXZE1z0+VVFndk48Ue20bqAWxj54HGVddzrm7f97jZhkUBsA372CsAQNyVyNwOPksNGkfH\nwnm8hUfta8UR2zcEpNTugdE1+ng5swEgLzTwSVHDy8VNhBEXPdr356Oeix054Dp7L3Ouui5JOflb\nUGv1oGyTYaK8u0cPX7gXm5xdUEa+UFz+LvnRxQM/TVpy6HlZx+43UbQCccGDLd+s3BMSnVogVQeV\nRekxV/9a8c2WG3lkHS268+u8H/84eyex+uBFZVH2izvn/7dwzrrgnA7aTxPlPThyLCj8edq7YumC\nY2XRmydhB79bsvNB/WMwoiT/H1aeeJjJByDkJYb5frvKL7n5ylGUE7zpl3/CE7LLPty2yRKmTRBm\nBm+aOXPr8evxmcViABCX81IfXz56443sHyZIO/PdSt/QRF4lAH521Jm1y/0SW7yBCxDzIvxvFANQ\ndB1mU8+KSTvLIf/l6aNPKwFAccDMsb37OCgBgDDxYe1TqoK0h+RkMbu7m3EDZgyF6cHnk+pekjnN\nTZaXuPDh/m/m7jwbkVIgBIDKwrToC3uXzNp1v+ERYBPIWQ52UwNQ8eDEndyOeqqpCn7a1eCoV3nk\nVi1JWU5ieOCO+bPWXKgry8xOg8Z3pQHAm6DApIbntWQIU5l5Zc30NYfD4nPI3qKoKDXy/PY5Kw/F\ntc5LBABaN0enVkZBQfE5UmMOM/IXr5WRpU0/QdFamPpeu/xmmqLy6aZp34bkdfQR2ecKwXXbcPBn\nVzmkHZ87syUdT4qWQG2DpqCg6CAI04L+558NMLpN9TSmDky2E6wuQ6a6ygF5l3ecpcwrfjpadzCK\ngoKCog0pTzi0dlupexdWqYYqI6l15gUpWgRdSZt/95h/eNb9wCctWW6maCGUMqagoOg4SMqSQw8n\nt3cq/suI8iLPHops71T8B6HWjCkoKCgoKNoZas2YgoKCgoKinaGUMQUFBQUFRTtDKWMKCgoKCop2\nhlLGFDJBU/HYGxx6Kzj01qHpJh/P9wMFBQXFfxJKGTcHulrPSav/8Ltwi1RLwaGXltt+RBeBFJ8p\n8g6/hFLy85+CJm877+it4NBbe7y6dPC+LF3bc1vwreDQs4sdKHd8nxIGANDV7AeP9HDo3t3GykCF\nAIC8c3Nn+CZ86Lw3y3jarv3TDQGAF7TYe098K2zgfTwUXDed2WRXLU2CwqyU+Ji7wecv3E4pbZFp\nH0L1i2Ubpzh9NrYI2F2X+O8YptrgvcYFgKIdYVkuPbR7NFlsJWFLfLY8/mjmv5mdvQ/8NcMAwMud\nXksuv2tXi1iEounAiZPH9nGw0OLQwC/IzkyOi7hxI+xaVGrL6vOnhGUycdUoLaDoyoGQNzUGk2Vq\no5pRT5uSDZnyUJR99UDQtB2e6kOWTQ2dtSe+mR5R2gM612aUj8+YXjb6ygygPDshIvj0oWP3M6X+\nVWjK/X4LWGPd8LN5FxZ673shYHSatPfgXP06t4TFb18+uxd0+uTlBNKLZL3yqh9T4JKpu160vNFk\nAADLYNSsyf0asKbaIGzTCd9PN2zxG9sLloqOucsQc5chXpH7l6++kFLR7OPsLAMXK1ITJ/uv3ngj\niy+RiEqyOmRHpO2RlD3Z+9PPKgxIStPfdnRjtZ8zLD0Xp+qGWdGujz7rcSvq/78FQtlh0c7NY2q8\nLLC52kb22kb2/WwKJyy7WdzIox0AQnPgnPGdAWScPx7biB2N1rZRjcuG7HlY/jLwZLLnAiMtrzmD\nzqy40MHrO8F1Wbln3VD16gscbcu+01a72u2fv/J8emvqBlNJ18p1nJWrm/n383fGlHzsLl+V0Q8J\nBLlJMfE8/d5OOo0+wDaesHryB/xqd1Ak6fdCYsq5JnYuVuo0QMlp3q8zX8zem9DcHh8hp0K6Ti94\nFhGT2BIfoR2VvPCToWm1pVZc+Ky+OzBhXlxU3idNFUUDMDQdXPUAQFwJggF1Zyc91ovP3mYhy2DU\nQqkWyX5w6lJEcgmDq2fm4OreU6+JJzsCLMORU2wZAJIuXktv2JOjbG1UE/W0cdloTh5WZl0/F/v1\nUhuapbeXScj/EjuyfLHMJywkNXH2Dd9t52PLtfvMW+5tw2LZzZjXO3x1GE8MScXrkMNHntaycEVT\nMBsy+gsuAMHLZ/XsvKUcXLc/tgIER8Nm0MypzqqA9sgvHQ8+uZkvEaaFHjkSX3uZgaHhOGaYGQsA\nhG9eFbSq28IAgIrn232Gry0VSjj2axyddBoZIrNNJ383xRDIfvJSpbvZv2S5q/BxgO/2eD6YukN/\n3L/KmQNoj/K2P7r2fiHZ8aRzbYd+5TPczc5QjQVU5L2OuXvJ73hwbKE0Z+V7rDu/3qXW7DTXc8dF\nTwBA8bXlXtufSWtMU/EoOG28uNaRDuSc+35r7uB5E/qYKhPFKbeO7NoVkFDT7SLkjQd86ePl7mCu\nKUeDmF+Um/4qNjLM72BYRk2daOpdzUKcfvXIkQcNe0Jgms7/29dbq9aV7BMzZh98VatNkem76OoO\ng0cOcnVx7GqoKU8AEJVkJz65eebo8bCUcnFz8gcAwTFw95rk1bdnVz1FOvgFb18/vh0ccO5qbHVl\naJP8abM0E0oWI76eO3FAV00W/23kuX174pqRijoQKnZuhgCQGugv9Jpsik5fOGgeT8mo+1lN50/j\nYTjdVvttG6BQK0azJQFBS8g/q106ylheDPWeX309e5yLoTKtOPl+4P4gucUbJuoBiN8yenlYviyD\nP5q8iX0nAEDmkTXrD1Tpl+MHd+tY29BrKSyW4bTD+ybpAYjf+tU+5rgZEwd111OgiUqzoo+sWXuq\nbMDeI0usAGQdnz7n0GupH+JO3nsOzjcAkLJv5tcnq9zJy5KHssE2HTpIFwBSrjx894GHm2qjADRe\nT9GUbMich+SreNFXE2DTFRoDR1j8veNZR3WECjB1nZ01AaD89ra95yJLgRepW3Rc/abrg9XD0457\n4zpPDEHqtWMHaj1EqHr8Ng4AUHTzZHQ9b6hFSU+jH5UCQNRreTfnr00AQllDno78SsGbG8drx8PU\n9dzmRWqG8vu7twZnt0oZEwAgERSXCmWoFGyzCd9N1QfSjq/3f9lxi+dDCN+GHT6fBQBgW/U2JEe5\nTL0RP/61Z4Gnk6Eamaly6sYunov2/vHjYK3m2AptTjyqriu3zuprqkwAUDJ0X7BugWO1xzim4Zeb\nfX/0crXQlKMBAMFW1jK195g02JDVond9Shr7LjnzqQsnDe1hTGo1AHRF7a69Jv60+9eROs3JH4Cu\n5rpsz19rJvWz0VOkAwCbq9u138Rl87srSgO1Vf60UZpZXcZu2fbNsK6aLABsXaeJ63b6mLObkY4a\naErW/cwAIPvRndsRmQBg2Lsbt84iVtP5I1sY2Wnk2wklu0XbN0x3NVQmAJqSkevULT8N1W00toYQ\nVwrIBlPV1JhbMzCRCLJiozMaHGvqjti4Y+kYOz0FGgC6go6FgSIh5kWFvgQA6Lg4qNOlKVSxcSdn\n+tKu33sn1cRtmT/MLu5OagDw7lHMu6ZsbTfYRslGU7LRvDwUF8bdywAAlR7uRh15mwxdSUcRAFCU\nkSftYAgLMkhHz4SRnW5DaWfouns5MgEgK+Ts87IGQgAg5NS69nLrDADgxcXnvV90TIPxq762YwIA\n79qmzdc/1NOSlWa0TWzTiasnGQBpR347kcic37r3tg+C7GdJAm8dFqDUpbMC8aSC6DRs1fIvVACU\nPvXfdfJuaoWiUa9Ji8fZcFTcli9yf/RzWJ4YFc93zZh7gADHbgoSApMAACAASURBVPHOZVYEUHJz\n63f/vBIA1WvGDFniqYappRh/Yc+ZV6pD5kx2VACU3DzN/xcZVQaAbTrKy4wAUBb15/e+114VE8ra\nxt2cPQbqVveWmvcuWSC6DJ4+3bpm2C2peBV6OixTAACVaSdWzbrMpNGUnFdvm2XaaDyNfBcgEeSl\nhN8Ovh757OVbXjlNo9uoZatHGxPMbl+NMAz+O0kgYzyEet8l348kJ9aKYy8EXH2SJZDXNf9iQD+O\npM3zpy3STFPqMc3HmqxnOff8zkSVmw6bPtBExhTUQ97U3YYBoOx5VHIK/2nhZD0VmrmHpVLI3aoR\nVNP5I0OYihd7F806wqAxdYdtXDNGG0Ca39JNt/PEACTCgqx6TfeHy4ulP3LhKG0AQFHU8cNhb7UH\nzJ7goNzcz5aUxl2PrezejQGO68qjJ4eGng+5cvXe87flHy5IrpU+CmPDQu6+zBVy9GxcbAUSQJQb\ncf01zIwBQ3drlcAsnhg0JUt3MwDAm1v33wplzkOZIVTM7LQAQPTmef2Ma4j32qiab2ysnjYpG83N\nQ2FOfCofndhQs7Hk0uPqr1p1GMT8EjID1K1MlIlXeWKA3dlW2t9T6aQlR3tef+mdaTB8NNmSJQWE\npL43Bd9tQ0BorZ+CjPtHNhx6fxubnIX3T3PNCQB4e/aX/REFrV5SllkZs02/WvmVAZB6YvPRJD66\ntvbF7YOohFcGsABwVOXpKOo0ZJQlAUAQsXnDP7eLJAASXqSx7Y4uNQHbfriDyo2r+WJxRV56Wh4g\nr1smBgigsigrLTWt1poxs7Ms8dSEf+H7yx+Xs8XMRI2+R6Z0Ati6nZTpUWUigM5RIWcHK8uL8vOL\nisvFxcW8jKRHwS1+lyyo9xo/ofZvwf1nZ6WVXCIoeJtWANBUTJpeY//wd6Es6qfpEXxpj4Ig6IW3\nTwfEj/7WGtCyNVMmknLFMsVD13T7sicbAESxu5Z8F5hJNm9hFwL81DnlkrbNnzZJs5zRgO7kek7q\nX6s3Hk0TgLiXrXZ4dY8WDDfkjHrbcgCIk+4m8/mi+/HCIS5Mpo27KeeutMvTdP7IEkbC52Wm8QCm\nOF9a6Py89LTUD+6m/tC3M3X6eHQBAOSd/3XdH7HloN1LUz64a0jDW4M/jCgnbONqwzU/j7HkABo2\ng2baDJqJ/NiQY74HLz0vajBZeRd+mvt7lPTeaX8mm1EJSHIiw1LmGhuCsOxtrhD2oBhypm5dmQDw\n9sY9qS6WJQ9lh6FmqAEAKMzgybTNpF4bVbvn2Eg9bVo2mpuHovz0AkAbUDPRYKDDKmPh26jEigka\ncmB0/279t11CE8q1XcaP0pDeZSmyaUDdMpO3HjtCGwCEjwPCmvILJnz36sXrNwX8esVOk7eetmaS\nAQBIXh1Y/8/T0jZwbyWjMmZbeK/y0QfSjq73T+IDLZtk61BIJKDJG9qRXSiW86/+V+qHILRM1RhX\n85vevNDceHiJr/PFAETF76RbGJlyDHL6qyL13jOhmyMTym4rjrjNTo6Jjo6JuhceHp0p7cG2VZo/\nBo18F2jMTq6Tvhrh3sOiM7feOUtFdQU6aiu2RuJhd3Yg5xQrnwSGva010BCV5JUAbZs/bZFmQrFz\nF7J7lXXn3lsBAIjzo6+/RI8PnLRoBGbn3vZcAEiPSCgRS8RJd1PgYgZ5297G7KhYPiBD/sgYpll8\nsLyYujbksLg4+lpSOQBIyl7ciCoZMkCxue8Q8e79uWTs5Z4jRo0a2d9RnwNA1WbIN749LX9evO3W\n+3MdmcGBT2tpGImQLwSAyncRV9Nnz+4CVlc3Y7kHT8QGbt0UACA7/GbVloy2zR+6nDLZF+OXNvsA\nh0T2B2SQjWbmobiilOyJcVQ4Hfi4saQk2u9Eost0cwIMQw+fOR517hI01FtXILj/b++846oq/zj+\nuecu9r2ATJXpQLaIioCi5E7RBHOVI3dlrkr7maWVmqaW5SjLHJiJIk4EBw4QERRFRUAEmTK9CFzW\n3b8/DuC9yDgXr4l13i9fL7lnPOP7fM/zfeb36R/oxwOAquhjCc01y+sXcDG1O/X0fXfWkF7+09b0\ns1k/ff2VRgkR+h4ffjHBEgDESTu//fuxZhbzUjPGOu5zgqwARU6arPfbge4Ay7wb+TnpdfMPHNf5\n9qVLacIOv9cPAFPPWIf8q/ZZrYzg8nRae5qjw6E0Q6RuOFJxQ3NM3vRrkwsur1tr9dWnk3vzAfBs\n3YfYug8JnLko5fD/VgTfr5SrHRcV5Elfjfmi5YUhlGk5X9weU7funmbXfMqY7CZa2Ip82Dr6ZI+y\nuvSF1ioA9cuiZTSTZoKtW99yrS6rru9dyOsqhO1o0bLNPAeQK+ms5/51eu7zG3xPn86c5MdiUJAP\nxWfUoqW8M9i6uqz6mBryXm/R1DbGACCvyY8/siP+yK961n3env3xbD8TwHjosvfC47c9aDpsU1nU\n/Fo9SeG16IK50yxh4O7ThZMi6Vs/nxsXndtgdjUrH4VMSiaEYDEpvaBaRynfaeU7paIbZBiUZchg\nskgbLJPIOvSpxuLskKVLKufPnviWm6UuFFV5N0+F3nZdssCZAUV1eZ2qXWKa+E325ADA0wtH7je7\nzez5Aq74hGSR7b4PbaDnM3W4+bW/ycV9hKHPR1+MNQaAqutbvo0ooDD5QAlqxphBcFgAGNbDZ3yo\neofTc9z8nk/+vHP1jTDGHDMXe/I7E+bkV8vlWlX1+vcscsWnwY+bClVeU06pCyUXayYcAICsLPHP\nJdMOW/Z083Bx9/D0GuRiwQbXcfLK96/P2vFIrNG4/im0naZOIK2a9GHohs2n7mQLqqUGb23/+3N1\nu4eSmirSjOl24nEYeLGvoTH5aCjNckl1fbNZ21CHCcgBMLgGeuqPLRFG7gNb2FNo6uNpuudxvpSC\nfEDtGY2gkNXUkRM72oaNnStCx7DV1hIFZFU5CSHffcvv9XOgKcB3cTdjP8hpUtAKWQvdSklB7NXC\naVMsYOrlYXG6bkAXABBcu/p87lCz8pEJiyoBHqBvokfFGjepo6hFQkk3VJPVpgwJPRN9Mh1FFR28\nbpdXPQrfsjJ8S8NvjsNHIQwAeJpRqDqvwLEe8Y4DACDr1OmMNmsC6bPM/DrYaAEWThZsFEgBpumQ\npf/zMwAAQeTabVefam78vgOPP2gctsVbMwLIXdSiB9eyRVBUZ98rBgAYOvbgVJSUlj7/J6jm8LXk\n1JqEmgoHABgEA4C8piA17syRXd98Pmvaz2kAABNXe31Cs3H9UxA6Jhbkfjl5cvCRmPTSKrFcwe3i\n2ln9oET5d/IAACy3CYPNlJqSLL1O+ixoTj6aSrO8Kj+P7MtY+vQzYQEAwXP1a30lXLMJ4rkMJJd9\n5YXt2LRu86Z1mzet234iBwBg7eNmTAAU5EPxGRKFXNqwLozVnppCVJJeCgDg9fHpSloYrq13b7UX\ncEHHKWjKEGsd5TQwyC8FgEKN0VwA4vyYqyUAYO3jM3CQHQCUx1/Mfj7SSF0+VJAIHpFh63Sx5rVp\njV+ooyhBSTfUlCGh29mGDwDS/JSnmur7vSIIpnKumCZ+U0YYAUDlrThVpx/aPQNHWQKA7F7IpYK2\nlrYDhL6lGTnJIJfKFABYFqNXLfbSAYD8Q+t23Wx+vUI7YQEg+O4TAvoYMQG2eU+yAjJwDZw+u1QG\nSIuiw86mVcctHjVc+bVGD20d2B1mI7zeQQuX1/Dt3Qc4dSJ1r/jk4aRKBSDJjYjImjrTFrCavWmj\nSUh4XFaZlG1gYe/m+9YwT9GeaYuOt7DuXRVNhQOwu07atso988LZqFupuYIaua51fzdy2k0mFIoV\nGo2LAgTX2NJclwmAod+pfls5i29pZS2VAFDUPc0vrmlbHeW1pUW1cNAGiG4jBljdupjPsPCZv3gk\nX/0EyUqjQxJnr+rDActl+baN3Y5dSCoU61r09Bk2RDt47pLoCoWG5KOxNNdlXbxbN9RbC7BduHYZ\n88jtOvu35/dXe4s+Q7envwMBAE8unTh3sb4Tw0o1Gjt+oTVgP9jJIKK4XN62fKjIsCFSWfXTcrJr\naztqgk/G+dxqqUIhKS8qrBRTsn+S/MvXSqYGmgKmU79cVrb7QpH5iEXvmKibdzBYpl6z1syeVZZ2\n7ertB1klVeD18J8wlgyoMi25VC1jIcm9HCeYPM4YPabOAgGg4mZUptIQLXX5UKI2M+aRfKAzga59\n7HROFjXvLKzlOooClHSjQk0Zcq28SN+QWbHpmlid9ArR997w86TqmOg7WUVCprn78InjSY/v2WGH\nVbymEPzeE4fxAaAm7mhsWUsVF6+ne19xHYPQ4tl5jp9JLrVH7u1CMZjmo5cvJPcyoSib4zV1rpfy\ni+K8qJCI3PYPTLIAsPjugVMmqbhhYdsND7QDAGQUn4tI6+CF0QaMrt6juz7/KUz4dfWedLKQJLnH\n1/3k9OOSvvrQdwqY4xSg/F429Sg0FQ4AJs+qd8Ds3gGzVS+XXw69TxaDBuNqE67Lgp1bfFUth/Go\n77aPIv9M2Tzpo6hnbQdTk3L4TP7giV0AvYFL/4hcSl6tA9R3GyMXRP20yXPzlyPMAAOXcbNcxjXc\nSa5v5GtIPppKs0KYuD84pf9cRyYYXYbOXzYUQFlmqZa9ejZJy3aQKwcAyu/ffb5DRlqalCSAtTGY\nDv49dC4lVFGQDxUZNqS9KuViqszdiQnCfvL/fpoMQMnpBwXEGaHbz7/1zXA+YOb/8Wp/AJDUgk3V\n9W5DOur/N3LwfcfBV+VW1Y2dwSlq+jwQZ12NLRsXYAQOBwCqEi5lqIRAWT6UkD+7dS5Z5uzKZDu/\nZa9zPanZpmArdVTbUNON+ssUZci1GdRbFwBSziU87eCj1GBom/fsP7GnytotYfyWdaHZyi0MZqdB\nQf25ACA4H3a35YaO9fQv1zW5VHDqj0slcnD49pYNQyPmvkHvNn3zbvrxlzHG/51haqmwOCMhct+a\nD2esOKnk9FWce3ztBwt/PHo1tVAoa3zy0Y3I4I27rqkxH6ChcGSCGwf+Co95kFsqFJGfgLQy/27U\n3hVLfrrROCSiqTT/c9Sl7l++5I+LD4rrAEBelXMr9Jvl2++3KyzZ0+jvP1rwbUhMSkOvXFSWlRC+\na8/9hjajZuSjsTSLc4+t+Gzn+fQyKQBRceKxtcuD09UcTOJYe3voA4Ak/abyzkhx7s3UWgDguvna\nkSaubflQewYAZCURG77+MyaNyvhHs8jLb/yw+OuD8blVCgCioqRj3204W0jek4ooz6hUXvt2warf\njl9LL6qsH1uUVhY/vHbyl0XzvokoaXu4sQmirCux5Q0/ahLPveDBiKp8KCEviw+5LASg5z3aWb81\nc95CHdUGFHVDLRlqOYzwNQJQd+PvjlmjKCPKvRCRmCkgl2opakrSY8K2Lpyz5lS+il1kdx4+sRcD\nAPLDwzKoNXTE5Xkp0Ye2frLgt7utuBTXFAxXz36vPBIaGhoaAGDwvNceXe3FBSovLp/Y6Er2Xw7b\nKmhb8OxukN7bMPPzSHWd8vzjEHzfdXu/8tZC7qH5s4OzOt6K0H8nr9N7Ig0Nzb8cLadP1s81Tr2e\nmFFQXFGnZek5YaYXFwDED27kduy1JhpEkhv+S8iYbZPMXGcE2F3a2/Yy3tcKp+vIGd5agODs1uP/\n+jNIOhC0MaahoXl1MHS7OA7u5ThY9ao8/eDum2quhHqjqU3bt3ZztV9XTnUnQ1ZGW36fXitMfTNR\n7F8hMUVxYf/E4CxNA/QwNQ0NzSuDZTpk+vx3+jt2tzDWYQOQVxU/vHnlxP6Qq1mteJamofnvQRtj\nGhoaGhqa18x/ZzU1DQ0NDQ1NB4U2xjQ0NDQ0NK8Z2hjT0NDQ0NC8ZmhjTENDQ0ND85qhtzbR0PyH\nYHeZvOf3D5RP+JHe+nLs6gTN+TN/CZhGfSd9NGdUX4cGP+jCi8uD/iuOQQCGjsv83dvHmSJz93tL\nQ/Ne1+kMTLOAjfuWOzHLIldO/+X2m3Aa378EFgAwjXqPGOvv4ebm7GjNIwBAcGL+BzvTlPZ7syyD\n9uyZZ/NiAAXBMxYEZ3fwUz1oaDowHJuZ+3dNJZ3DZ/w6fd7JIhkIk5E/hS4mT3sThC2Zse1hR/O+\noOu94dgG98ahNXFFUXZqUmzEyVPR2VRP/lOFMBywbP37/TgvmS6Ow9J9P483BABURS2ZvvGOmq6r\nXxcc+0krx5kClef2ROY31KjUdIOtRlm0KR9Z8YU94TO3BhiPXDbj/JztqW9AW4jJdx43ffo7Ps5W\nBiygtjgtPuLovr/iCurPM2EYDPkhdE0LR58KTi2avKvx69JyXhK8YwRP5YmS0Dlzdj9StnGErv2g\noGlvD/Z06MxjQV5blpd5O/LQ74fvPHuZpgsBABzrcXOmBfg411tiGhqa14T9QBceATAMnNtxzCIF\nJMVnV8ybO33+3HmbYqo0GTCHZ97Da+SstbsObBxno9WOAxXAsfZyJC1xVsjquQvmTp8/Z8Heh+p6\n6eJYevUzbPih5z7I6mWN+z8EYTJs3sQuAJ6cPJTcvK8NyrrRWllQkU/to7DDWQBMg+YNt6ByCPNr\nheB7fbZ96+JR7lYG5ECvtpnD4Jmrd/8Q0PWVlD3bYuTKP/5cMe0t58488kxUbSNr56GT/Tq/ZHQN\nw9QKiJ9mJKWWWQ3sZ97a87LHF49dUzptS1aWVN7R/YjT0LwxMHr4OeldjJH3eMvh1UwhSSoL8yoB\ncHWFGhrPUuRdj0yq5du7ezkaMwD9fgu+nf1w7o40dXtUhBaPCwAovx+flJ7TPl+ZLBMPb0sAkEtB\nsGDcv58l5+Eb4NORYzP2fRcWgIzTF1saoKagG22WBTX5SIsunUj+cKkzw2FykH3kL+kdWX6cHu8u\nGmUMAMWXd24+mVxrNmjB8snOHI77BwsGxqyOKpNDUfc4cv+Be0pCY+h2Hzl+AB+A+NF9ZX9o0pLr\nh/eX6TEAhpb9mHe8DJvEBo5t0JovBhqTP6qyb8anlymMuvX1tH/5nLAAoO7Blulvr62WKLR7r/Hs\nZ97a+WbC5LPBezr4+cU0NG8mFdlCno2zv732LckgVy3UPinT7myk/AChYzd0yvQgP48eJloMyEWV\nT/MykxOigvdGPRGr84xmU30ndOeWVBHYFqNW/bqyvzZgNm5y74Nr4+rdXTL5LqPem/62r7uNEQeo\nEzxOij0TfCgiuaK+Fa/T55uT33kp9Sr4AVtPkwdfqj1nTPDcfW0AICcsRBI0rRs6D/AwOZT9RKnD\nwDLu+96HcwO9bAwYwqy4sF/DtRavm2QJIHXj+OVRzxr6pIS2tV/Q1KDBfXtZ6jEhKi98fCc6IvTE\nheRymbbTkr83jzYEkLlryuLjBWTghNHQ9X+tdmMCdTFrpq2OF6rjSZLbbdRwCwDIPneztNneTZu6\nQT7VRllQkA8AQF52+0IanHuh07AxPf/Yer/jjvSzLfr3NwGA2ujNO04kVAMPczaaewfPsgKnT4A7\n//KlMjnEORf/2qP0EmHo/0MgAKDyyuHb5Upjy9KShGN/JgAAg+ff+wVjzNBzmxFkCwCQpx9csvhQ\nWo0CANjGrv4OLZ6QTBECABRiYbWEmurwR6w5ciXi/NXw43//8Pm0PiZvyBgQDU3HR1GQeLcCOu6+\nPXp4e/BQlxyvepQC22bK9ztXBXn3NCGHHgmugWm33v5TR9hw1HrmFSEpjNp/sggAwHUcaEP2ctmW\nY1b9vv2jgH42RmQCtIztvAI+2fHbqhGmmu/6M/SdhnQHgOJb16LjCwDAZqAr//nsG6Hv/smWdbO8\nbQwIgKFv6z1j45ejLF4Ih2nkvWz772umDnG21GMCAJdv0WvIpGUL3fQYQG366bPFAAD7UYPM6nNB\n8D3GOjMBQHgt7L5alhhgd/XrZwQApbeSSpv1W92WbjSh2bKgIJ9G5BUp158AAK+Pn21HruWZ+uZ6\nAIDKJ4L6xqak/EkFAICwdbdoLu0sC78gTzYAFEUef6DO2kWu7RBPHQBAWfi2Y/WWGIBEcO9cbMFL\nNnbV/h64BtoAQOhaOg+d952v5+5PVtAne9DQaAJRzvVUia9X/wlBsk5QJF/LqnVVusvtNi6oOwGg\nJnH3FzsvZgoJAzM71/7+wyyet6SpPPPqEBffzxBPNucA+l276BJ364jOo1cuH8ADUH0vZNvh2Jw6\nPVufqYsDnbV5vss/8bv1VZRAjroH2z6Yv4eAtvvin5Y5EkDVlU0r/swUAwpZVZFao3A63fycWQBq\nHiRmZYvuVUyz5DF6+DvoR8aSPUOO1dhF48wAAJWJh/ZHFZoNnfuuh0GTUAjjwUu+GEsumhImnwq9\ncLdIrGPRY8DQIdqkECU5EWeyp822AWxGD7Q8FpIrAWHoMcqVCQBlV06rVb8DIHjd3U0BQJb/oKiF\nMerWdeNFXigLOQX5KCEpSc0RoTMXRs4OfGZKSUedjJSLqkjzY+xob0BkCuQAt4tLffuK19lUi/Gg\n6cnQbOu3x5OT7hmhkTnqGC+moa2dPgCgLiX2saZXtqlhjEUVeTcT4pNzip7JeN0HvD3W1QjQ8pj3\nv3cTPzqYSy+npqF5WeQ1GTGZ8HLwGgQgJy6l0lH5LlObpwsAkNZWPntWKayVC4VlTzJuRaj5zCtE\nVlVWA3AAaBvqMFHZeeQ4BwKAOP77dX9GVyoApD3M5bofXGoPbu+3PXiXLzyTy+sEebkCQMeiRg4Q\ngLSyKDenPecratkOdNEGIM+IzRKJZHGpkpFebLazXzft2MQaAGzzQf5dAQCCk99+81tyLRjXcw32\nbhupMhjJNPGd0pcLALLkbUtWhBWQlVvUqdBgY+1aBQBIn1w9njxrqTMB6+GDu4QdyJIZ9hvpRABA\nUUREprpJZxnZdAIAVDwpa+nd1nWjGZqUhUDetnxU33+WVw6YAUb2nVjosMZYUpiYXvduJy2w3FZ8\n93nX82m1Zl4Tx3Wqv8vR4zIAVWOs4zRhjBkASO6ERql3fhZT14j8vFBRVKnxk7eoGmNp0amPp4aK\nGwfFT52MXvTbDyONAZux/l2P7HtMd45paF4WWfn9m/lw6ALgadLdUqlKhVuXc/2+xNeTDQPfTw/4\nzs1Kun07KfF6TMztgufnH1F55p9BoQBDx8ad7KJw+n8bcq7pE4RpNyPWhWeaqznYXQb25gNAXnxa\nlVwhz4jNhld36LgMtOMmJosAtoUz2S0W3r6YUQsAipqHlxOrRg7VUwqG28WD3IctvRsWVajUzZBV\nCRoWoMsFcaG3P3L25MBy2PAuh3+v9BzjSABA7tnIfLVzxNQyIDdWi6qb9uKUYm9NN1pHQQbapnxU\nkNdVk10/bZ52B95lo6i6Hfx3utesHgRYNv7T5/mr3CUYaLKwn+D3D/TjAUBV9LGEl9qKpGkoS1ku\nFiunW16ZFH65BABg2tOsI88p0NC8OUgKb93IqRGL64oS4vKaVI9yweV1aw/fKSd/8WzdhwTO/HTL\nniM7ZrgYEGo88wph6hmTM2qofVYrI7g8ndae5uhw2rMFqiXYZp4DTAEA1nP/On3+avhfy7sDAPie\nPp05ABhsXV2y91FdWt3Q01OysA3h6Ohz6p8qF7VkG+UVCSdiqwDAbOhQO8u+o5wYAJB25vIT9UcJ\nFTJp/SIwVisbiVrTjWZQLQtQkI8qDCaL1BiZRNahTzUWZ4csXbLt1N2CagBQVOUlHPrx12QFACiq\ny+tUzS3TxG+yJwcAnl44cl/d45pl1WXV5F88cwONL3l4iQAZDR+SokMXFQ3NG4Q4fff0wN3k3zoe\nTW7KyhL/XDLtsGVPNw8Xdw9Pr0EuFmxwHSevfP/6rB2PxJSfIZHXe0RgMDRlEjlmLvZkrS7Mya+W\ny7Wq6qfVnkWu+DT4cVMrJa8p1+CAGmHkPtC6+VumPp6mex7nS2U1deRAuLZhY2eP0DFs0mKQ1FSJ\nAC6g24nHYaCFvqqiOvnEhbIh7xjB1H/qtHJHBgDZvbDrza+Fbh2ZsKgS4AH6JnqtWONWdaMpTcqC\nknxULhJ6JuT0qLCooiP1H5tBXvUofMvK8C0NvzkOH4UwAOBpRmGtSvFxrEe8Q3pLyTp1OkNF+wg2\nIZcoZZTBbGgZKaQNYcjKsx9XwU4P0HL0ttO6nazRaWOKrWUGR09LRUsIfZcRg8lmVlFaET1GTUPz\nymEQDADymoLUuDNHdn3z+axpP6cBAExc7fUJ6s8AABR1QrImYfI66Wqk08y2eGtGAOmlQPTgWrYI\niurse+SqY0PHHpyKktLS5/8E1Ry+llyDXS6C5zKQ3OuZF7Zj07rNm9Zt3rRu+4kcAIC1j5sxAYhK\n0ksBALw+PvUOIbi23r2bLOAS5d/JAwCw3CYMNlPqrrD0Oukr/RRlnjpXAAB8r9E2ACC+fSK+Xdtb\nJIJH2SIA0OlizdOIk40XyoKSfJQhdDvb8AFAmp/ytIMvCSKYyolnmvhNGWEEAJW34vJUbJN2z8BR\nlgAguxdyqUCl8aHt/Mk3i0baNn4KhIGDV33bpVpQ1VCqdY+v3CRn143GLA500GloxrKMXIZ5W2rA\n6QfBd58Q0MeICbDNe5KbjA1cA6fPLpUB0qLosLNp1Vquiw+stUqPuZ2eV/yslmXcvf/w0c7kxueM\nk69q/yINDc1z2F0nbVvlnnnhbNSt1FxBjVzXur8bOQUqEwrrHf9ReYZEIkjPl8CSDXSbOm9U4dEH\ngjo5FHUl+SXqzi7zegctXF7Dt3cf4NSJrJyKTx5OqlQAktyIiKypM20Bq9mbNpqEhMdllUnZBhb2\nbr5vDfMU7Zm26LimfGIzdHv6OxAA8OTSiXMXc0jzwUo1Gjt+oTVgP9jJIKK4PP/ytZKpgaaA6dQv\nl5XtvlBkPmLROyZNgpKVRockzl7VhwOWy/JtG7sdu5BUKNa16OkzbIh28Nwl0Y0Lj8W5F05mTFnY\n4A2r+trJpBcWJVOjNjPmkXygM4Gufex0ThYJ2xUI0EpZhcIw6AAAHlNJREFUMPSoyEep5LlWXlYA\ngKzY9OqOPfap773h50nVMdF3soqETHP34RPHu2gBQHbYYRXPMwS/98RhfACoiTsa27TZxNR3HPvF\nzrfnP7qVlP20TsfWy6cXOWQiuJ9W1jDcoahK2h+aPWS6DUD0eO/noz4JN9LLFIb2ffp1Z55bFnO9\n4GXywQLA4rsHTplkqXyZbTc80A4AkFF8LiKtGgBXz6rvKKu+qq+Xx/68PqwdkyQ0NDRqw+RZ9Q6Y\n3Ttgturl8suh9xvrSyrPAIBCeC80prKfvwFgMuzj74eRVx+sC/jsqpoWhdHVe3TX5z+FCb+u3pNO\nVoKS3OPrfnL6cUlffeg7BcxxClB+L1utWNpAy3aQKwcAyu/ffb47SFqalCSAtTGYDv49dC4lVGWE\nbj//1jfD+YCZ/8er/QFAUgu2qp8juSDqp02em78cYQYYuIyb5TKu4U6y6oC+tDg6NHn+SmcCACqi\nj6eoOwfZGOOzW+eSZc6uTLbzW/Y615Pa3URpsSwoyqfxTa7NoN66AJByLuFpBx+lBkPbvGf/iT1V\n1m4J47esC1U5NIHZaVBQfy4ACM6H3a1svqgIo+79/LsrXRDf3nc8U6m3Kc4KXfO93daVvkYA9Gz7\nDbWtv1Hx0tmgOD4lybsUcjruQU5ZFblwQF5dnBJ75PvFs7+MUH/tIA0NjfrIBDcO/BUe8yC3VCgi\nq0dpZf7dqL0rlvx0o1JO/Zl6FMKE7Z9+f+ZufrVGUicVFmckRO5b8+GMFSezn8+zinOPr/1g4Y9H\nr6YWCmWNTz66ERm8cde1pxrbL8Ox9vbQBwBJ+k3lnaPi3JuptQDAdfO10wbk5Td+WPz1wfjcKgUA\nUVHSse82nC2sT5eocdRc9jT6+48WfBsSk1JcQ0pNVJaVEL5rj2qDBvJn8REp5JXSS+Fp7fdTJS+L\nD7ksBKDnPdpZ/2Xn8F8sC6ryaUDLYYSvEYC6G39rsJReEaLcCxGJmQJyqZaipiQ9JmzrwjlrTqma\nJnbn4RN7MQAgPzws44XJ3trknz79evvJuLTi+qM15NXFqdf+Xrtozekm258kBREbZs/edOhSagF5\npJW8tiznztmDl1/WFDJcPfu9XAg0NDQ0bygMnvfao6u9uEDlxeUT1T2ukcHzWXVgvY828GTfgvl7\n1XIg0RS2VdC24NndIL23YebnkYLX2Rsl+L7r9n7lrYXcQ/NnB2fR3a1/Bvo8Yxoamv8MWk6frJ9r\nnHo9MaOguKJOy9JzwkwvLgCIH9yg7meEqWtiZqSlbeo++VMfbQDy1GNnX7ZfJMkN/yVkzLZJZq4z\nAuwu7c14fSaQ03XkDG8tQHB2K+1d8R+ENsY0NDT/HRi6XRwH93IcrHpVnn5w903Kc+VM09Hf7PvY\npvF3wbE/ojTgoqo2bd/azdV+XTnVnQxZGer5htIgTH0zUexfITFFcWF32zsJTtMOaGNMQ0Pzn0Fa\nciMyxqK/Y3cLYx02AHlV8cObV07sD7navtFYcXHSiT+2/p5SqwmrpajJOr8/SwMBvRQyQcLxfQmv\nOxX/Qeg5YxoaGhoamtdMB3Y6SkNDQ0ND89+ANsY0NDQ0NDSvGdoY09DQ0NDQvGZoY0xD869Ey3nJ\n0asR569GnPm+T6uHJ9HQ0HQA/hvGmGnUd+rq34JPXY04T/47s5z0XvofQsfj6/MdKe8dLT3tQ7ff\n+ksR569GnD86pxt9kOh/FIaOy4KDVyPOX90e1JX9uhPz8jDNAjZHXI04f3yxh/5/wz50EFgAwDTq\nPWKsv4ebm7OjNY8AAMGJ+R/sTHthrT+h321Y4OTxgz0czPQISKtLcx7cjNj9x+lHGlnYX4+u94Zj\nG9wbtUBcUZSdmhQbcfJUdHZ1u9zSEIYDlq1/v9+/ra7kOCzd9/N4QwBAVdSS6RvvtN8b3xsCgz9s\ny5EveylfkgqLsx7cvHAk5Gzi0zfXPwHTPGBHyEI7pSsKUXlBZsrNC6ePnEl6bRljd5m85/cPrAE8\n+iloydnSV+oV6o3VZ479pJXjTIHKc3si8587Q1anHmsl75R0Xh39aVPOsuILe8Jnbg0wHrlsxvk5\n21M1ekzgq4HJdx43ffo7Ps5WBiygtjgtPuLovr/iCuqPRmEYDPkhdI1T8+8KTi2avOvhcxG1Jh8G\nz2/LqZXOzQf0cPM7y86369SueggA4FiPmzMtwMe53hK3ANts6Fe/7fzfpEGOZnoEALB0Tez7jR7e\nU0eTJ4S/AIdn3sNr5Ky1uw5sHGej1Z6oONZejqQlzgpZPXfB3Onz5yzY+5Cyt50OCsfSq59hww89\n90FW/7bGBjVY+mbdvcZ8uHXnSn9jjRw+10FgcPmdHb3HL97wx7pRFu3yBiDOPr5uxZqvVq75+s9H\nb4Cyv6n6TJgMmzexC4AnJw8lt+Ijo7V6TM28U9H5FvWHSly1j8IOZwEwDZo33KLDf1UE3+uz7VsX\nj3K3MiAzqm3mMHjm6t0/BHRthw69Rj1sKCYFxE8zklLLrAb2M2/+QctxX3w6xBCAPP/G8VNx6SVi\ntkGnLg49uE9flacYRd71yKRavr27l6MxA9Dvt+Db2Q/n7khTt6VGaPG4AIDy+/FJ6TlvQMVEAZaJ\nh7clAMilIFgw7t/PkvPwv+O7ri4p5I+oEuiYOg6b4N+NDej7zh1rdW3fG+9HtzIheM+NckLfpNeA\nscMddAGdfrOmu17ZeFvtbqK8KifpRs6rSOOr4E3VZ47N2PddWAAyTl/Ma/74ujbrMYp5p6TzbekP\ntbikRZdOJH+41JnhMDnIPvKX9I5cDpwe7y4aZQwAxZd3bj6ZXGs2aMHyyc4cjvsHCwbGrI4qk0NR\n9zhy/4F7Sm0Shm73keMH8AGIH91X9nVGVQ/Fj84dvaVyhIakMOMlB4hZAFD3YMv0t9dWSxTavdd4\n9jPXbuY5jv34qT0JAHkhS+buT2uM9eRLxd46FXdCd25JFYFtMWrVryv7awNm4yb3Prg2rt5tHZPv\nMuq96W/7utsYcYA6weOk2DPBhyKSK+pFpNPnm5PfeSk1bPgBW0+Th7gJLy4PanQK31Y4uv3Wn17r\nyQRKTnyx6emIBe8O6mZACLOvHti2LTSt8dhpEDp2Q6dMD/Lz6GGixYBcVPk0LzM5ISp4r/J5z23F\nRRWC5+5rAwA5YSGSoGnd0HmAh8mh7CfPgyH0e475cP6kob1MOKLChBO7tqeoBmAyeseBJY4Aig7N\nmrfvcf35pp0nb9+70BpA9q7ZHx4ukFLMOwBC29ovaGrQ4L69LPWYEJUXPr4THRF64kJyuYxKetSk\nKj028tQjMXDmfJ7psU+dCcDSsYsW6ismKmXBsZm5f9dUSwCpm97bxQ78YNJwN0tdhqy66PaBNWsP\nNzj9bytfDTANXAL/92HL8qFIxcOr4RG5EgBnbmPfpuH6gH4vN1P27RwJtTSzur7768FZVkpBiuO+\nfHdlYtNT+VrLl7br6uDNQ3WVnu6+JDR8Cfnnk0PzZgZnU5czJdrWZ7CM+7734dxALxsDhjArLuzX\ncK3F6yZZAkjdOH551LOGGqmVfGk7Lfl782hDAJm7piw+XlCvmEZD1/+12o0J1MWsmbY6XqhOjcrt\nNmq4BQBkn7tZ2sI33FY9RiHvANrU+frIWtUfynHJy25fSINzL3QaNqbnH1vvd9wZA7ZF//4mAFAb\nvXnHiYRq4GHORnPv4FlW4PQJcOdfvlQmhzjn4l97lF4iDP1/CAQAVF45fFvpGGeq8kH5vZP7DmjY\nfzgBAAqxsFrSqgqyLfv2MwaAnBjBgC93hl6OOH81PCz4uw+HW7dr5FgtJIVR+08WAQC4jgNtuPUp\nGrPq9+0fBfSzMSLNrZaxnVfAJzt+WzXCVJ1RPXXCMfT+bNOcwd0MCAD6Nn4fffORZ+NpZ2ybKd/v\nXBXk3dOEFAjBNTDt1tt/6ggbTrviah2GvtOQ7gBQfOtadHwBANgMdOU/n2XgdJ2wcfPHo3uZcABw\nLfpN+uan6T24SiHIyxLPPwIAmHt5NAx2ETxnP2sAQO6l66UqIx6t5R1gGnkv2/77mqlDnC31mADA\n5Vv0GjJp2UI3PQa19LQXeV15JdmQUAD1CaJSFspYjFm/dek77pa6DABMXfOe1noExXw1wvNa9kPL\n8mkPEmFpvQFlcVkvBNVymqlAPV+toa6cW6ZNfSb03T/Zsm6Wt40BATD0bb1nbPxylIWa+apNP322\nGABgP2qQWf0XR/A9xjozAUB4Ley+WpYYYHf162cEAKW3kkrbGiFsth6jkPcXaE7nm4muGf2hHpe8\nIuX6EwDg9fGz7cgzBkx9cz0AQOUTQb1tlJQ/IQ8XJmzdLZpLO8vCL8iTDQBFkccfKDVT1S8LTULR\nBrDNuncCAFhP/dC6/hqhZ9Vn/CpnK635X556xU7NxcX3M8STzTmAftcuusTdOqLz6JXLB/AAVN8L\n2XY4NqdOz9Zn6uJAZ22e7/JP/G59FSWQo+7Btg/m7yGg7b74p2WOBFB1ZdOKPzPFgEJWVSQCABaV\ncJ5LwVQv9dT2Y5mGI+dN89QF9H0DevySkFgDgNttXFB3AkBN4u4vdl7MFBIGZnau/f2HWTS2ctSL\nq3V0uvk5swDUPEjMyhbdq5hmyWP08HfQj4ytUABg6PeZOd2JLNuS68HHEmu7jZ41zF4lCNnT+EuP\n0d0OsPFz4oUVlcnB0HfwI8/Vzr8aV6g65tZK3kEYD17yxVhLAIAw+VTohbtFYh2LHgOGDtGuX0BB\nIT3tgMHSMXGaMNmTrNYy4x+TJ/NSKAtV+I5WqEiOiox99FSibens5VK/7qPNfCnBNec/PLMrLJM/\nfO6UPjqq8lEbgq1n0nPw1LfNAACK0qxnL3xfLaUZ0qKIL9+/wWWA02PGpi+9dZu+SCVfdQ93fDLn\nAIvBthi9fs07ZgByg5duiBbIASgk5fWH06st55ZpQ5/BsRq7aBwpjcrEQ/ujCs2Gzn3Xw0DdfEly\nIs5kT5ttA9iMHmh5LCRXAsLQY5QrEwDKrpx+oGZxEbzu7qYAIMt/UNT8GLUKL9Rjcgp5V6UFnW+S\nrpb0R424JCWpOSJ05sLI2YHPTNHAORivBrmoirTBxo72BkSmQA5wu7jUt9N4nU21GA/qmuSNbf32\n+G4AgIzQSJVjL6nLh+8+Yc4swfPPUiZIOHkqqeKlljhSM8YMroF+Ywuj/MahP8KzOa7vzJ/Yiwuu\nx5ypvS78+IrHMWRVZTUAB4C2oQ4TlZ1HjnMgAIjjv1/3Z3SlAkDaw1yu+8Gl9uD2ftuDd/nCM7m8\nTpCXKwB0LGrkAAFIK4tyc5TPSWN3oRLO8+cf7vz6t7PFcnZ6p8EH3u8McC06GzATa2QAU5tHVnvS\n2spnzyqFtXKhsOxJxq2IdsfVGlq2A120AcgzYrNEIllcqmSkF5vt7NdNOzaxBoCW7VA3crtQzu+r\n1x/MFYO4Xmy0f3Uf5WairCQhKnu+nQ0Ih4E9dKNuCKHVzbcXGwAKL18vbFq3tJJ3E98pfbkAIEve\ntmRFWAH5atSp0GBj7VoF1fSoRad3fz7zrtLvsoSd68MLyG+j7bJoiuDUl/N/TKwkpX80hM1lSUEl\nX8qk/7p615liOTvVaFAT+ahF1/f/uPi+ypXq2GMJ5S8qRvNpBiARFuUKAWjpC5tvIredL4WorCC3\nDGDLn9VP5YgEebk5TVZTqy/nlmhLn9nmg/y7krk++e03vyXXgnE912DvtpGGyqFQKC/pk6vHk2ct\ndSZgPXxwl7ADWTLDfiOdCAAoiojIVHc5CcvIhuyjVDwpo/Ruk3pMIG87789pTecbaVV/qMcFQPYs\nrxwwA4zsO7HQYY2xpDAxve7dTlpgua347vOu59NqzbwmjutUf5ejx2UAqt+qjtOEMWYAILkTGqXS\njVRDPhz7oZNUehNPRFfC/xFjDEVjJFVXNn57MLFKgWspoh4HPnMjwHPr25l9P4NCw1AjKBRg6Ni4\nk00fTv9vQ841fYIw7WbEuvCs7fF8dcMpS3/8TA5AJiwVklfYWvUDQHU51+9LfD3ZMPD99IDv3Kyk\n27eTEq/HxNwuqJW3K67WYHcZ2JsPAHnxaVVyhTwjNhte3aHjMtCOm5gsAqHXpStZTRZdu14oBgD5\ns9uXHqGPyup+aWn8hby5c7uC08vXTuvGXbm1r6suABTHXHlhyq+VvHO7eJCjJdK7YVHKRlxWJagC\nQDU97UX++Njnn/x5T9igo22WRVMKIsLuVT6/pZCIJJTypUzZw4yW5PMS1GVd/mPdL7HNNNJaSDMV\n1MpXa4lTV84t0ZY+g23hTHbyhLcvZtQCgKLm4eXEqpFD9dTMl1wQF3r7I2dPDiyHDe9y+PdKzzGO\nBADkno1U/0BippYB2cYUVTftfbWJgnyhzbw3T1OdbwFV/VEvLnldNdkS0+Zpd+Dtxoqq28F/p3vN\n6kGAZeM/fZ6/yl2C0XQcn+D3D/TjAUBV9LEElS+rnWWhMagZY4WkpkYGMAHk38mqUQCAvPJRUhHc\nLAEDcwMW8EqNMVPPuN6JUO2zWhnB5bXqUoijw6FUDaobjlTc0IySN/305ILL69ZaffXp5N58ADxb\n9yG27kMCZy5KOfy/FcH3K+Vqx9UKbDPPAaYAAOu5f52e+/wG39OnMyf5sZhg69ZPSFWXVde3aOV1\nFUIRoDJNKym8Fl0wd5olDNx9unBSJH3r57/ionNfKM1W8s7WqR82qS4tFzVXJ1FNjxrUJYX8Gcvw\nCHrXywyEXeBn0689X57aZlk0pbKo2fVzbeZLmVbkoxaVCcF74p6KJDXlpU8eZ2QVt9S1biHNVFAr\nX62gtpxbSk9b+sxg6+qy6lPcoD/1FlbZGFPKl7wi4URslecQPZgNHWoXnjfKiQEAaWcuP1G/BlPI\npPWLwFjUNgCp1mOgkHell1vT+UZa0R914gLAYLJIGyyTyDr0qcbi7JClSyrnz574lpulLhRVeTdP\nhd52XbLAmQFFdXldk+EcE7/JnhwAeHrhyH2VrWhqyafk2IfT/tDwAi6KPWPJs7xn6NOp+ZvSV15Y\nHDMXe/I7E+bkV8vlWlX1OvgscsWnwY+bfkXymnJKUpKLNRMOAEBWlvjnkmmHLXu6ebi4e3h6DXKx\nYIPrOHnl+9dn7Xgk1lxchJH7QOvmb5n6eJrueZwvl1TXN+O0DXWYgBwAg2ug94LlkxTEXi2cNsUC\npl4eFqfrBnQBAMG1qzlqKZmkpoo0q7qdeBwGXuwjUE4PdarSY88eeXT6auGGg4vdOTALmjfs2Gen\ni+prnjbKomlgCpmiOQVuM1+vgoqHV8MjX2wLvUALaaaC5vKlppybp219lspq6siJJm3Dxk4aoWPY\npHVLLV+K6uQTF8qGvGMEU/+p08odGQBk98Kut7QWujVkwqJKgAfom+hRscZN6jFKeX9+pXWdr6dl\n/VErLgCEnok+mdailxt9ffXIqx6Fb1kZvqXhN8fhoxAGADzNKFSdT+JYj3jHAQCQdeq0qi1VVz6a\nh+L4g6Tw/mOyPu3S24508kEYdHcntyQ/zSh9pd1itsVbMwLIqEQPrmWLoKjOvkeuijR07MGpKCkt\nff5PUM3ha8mptQ40FQ4AMAgGAHlNQWrcmSO7vvl81rSf0wAAJq72+oQG4yJ4LgPJyYq8sB2b1m3e\ntG7zpnXbT5AbSq193IwJyKvy88h1HZY+/UxY5Fuuft1eDEycH3O1hHzRZ+AgOwAoj7+Yrd6IjCj/\nTh4AgOU2YbCZUvOOpddJnwWokR41kRVH/Xa0EACIXu9Pd9ZtWDPaRllQpM18vaFQz5dCLq1XSoLV\njNw0ImcK+gxRSXopAIDXx6fekQPX1rt3kwVcVPMlyjx1rgAA+F6jbQBAfPtEfLs8J0kEj8hvRaeL\nNa9Na/xCPUYp701pQefbRN24CN3ONnwAkOanPP2n5iDbCcFUTjzTxG/KCCMAqLwVl6dicLV7Bo6y\nBADZvZBLqtPt7SkLDcMCQPDdJwT0MWICbPOe5CZjA9fA6bNLZYC0KDrsbFq1Qph8Jr623yBt6A3+\n/KuiPyOyOa7j5roRAPD40s1XM7vP6x20cHkN3959gFMnUuWKTx5OqlQAktyIiKypM20Bq9mbNpqE\nhMdllUnZBhb2br5vDfMU7Zm26DildZGaCgdgd520bZV75oWzUbdScwU1cl3r/m7kNJdMKBQrNBcX\nQ7envwMBAE8unTh3Mad+f3Cq0djxC60B+8FOBhHFFVkX79YN9dYCbBeuXcY8crvO/u35/ZvzAC3J\nvRwnmDzOGD2mzgIBoOJmVKaaXlVkpdEhibNX9eGA5bJ828Zuxy4kFYp1LXr6DBuiHTx3SXSFoo5y\netRFkhUafCvoc08u+G/PGXlo6bF8KYWy0FS+NJCB1wD1fMmqn5aTXVLbURN8Ms7nVksVCkl5UWGl\nWEFF5ylASZ/L8y9fK5kaaAqYTv1yWdnuC0XmIxa9Y9LefIlzL5zMmLKwoTFYfe1kUjvLsjYz5pF8\noDOBrn3sdE4WCZt9qMV6jKFH5Vt+IbzmdL5NqMlZqUXCtfIiN6tnxaZXd2xN1/fe8POk6pjoO1lF\nQqa5+/CJ40lv99lhh1WG8Ql+74nD+ABQE3c0VrX5RU0+z+XQdDU1IC28cvhcZs1LiIoFgMV3D5wy\nyVL5MttueCDp6TSj+FxEWrVCXnlr1+5bfRd7aoPff/Ky/g0PKrIP/xD+5NX03xldvUd3ff5TmPDr\n6j3ppHAlucfX/eT045K++tB3CpjjFKD8Xjb1KDQVDgAmz6p3wOzeAbNVL5dfDr1P6rJm4tKyHeTK\nAYDy+3ef76aQliYlCWBtDKaDfw+dSwnCxP3BKf3nOjLB6DJ0/rKhAMoyS7Xsm9ZfgDjramzZuAAj\ncDgAUJVwKUN9X0+CqJ82eW7+coQZYOAybpbLuIY7yWTlo6CeHrXjLru+/2SJ57umQLdps9zPf3dL\nSKEsNJSvNxTK+VJUpVxMlbk7MUHYT/7fT5MBqDj90ICcqelzVUbo9vNvfTOcD5j5f7zaHwAktWCr\n+ieinC9pcXRo8vyVzgQAVEQfT2nFjWWryJ/dOpcsc3Zlsp3fste5ntRsc7rFeoxS3m82E+sLOt92\nM56inBuf59oM6q0LACnnEp528FFqMLTNe/af2FNl7ZYwfsu60GzlLj2z06Cg/lwAEJwPu1upWuTU\n5PN8H9kLq6mBh3knzr+UMabe95YWnFsza83+qNQSsuRllTkJJ7fM+2xfiiZPiWgmXmFxRkLkvjUf\nzlhxMvv5PJA49/jaDxb+ePRqaqFQ1vjkoxuRwRt3XXtKvaeuoXBkghsH/gqPeZBbKhSRqiutzL8b\ntXfFkp9uNC5l0UBcHGtvD30AkKTfVJ7ZFefeTK0FAK6br502IM49tuKznefTy6QARMWJx9YuD05v\ndvRZlHUltrzhR03iuUft2aQmexr9/UcLvg2JSSmuIXMrKstKCN+1p6FSpp4etRE9OnrwnhQA9IbO\nHmPFplYWGspXR4YcRQYgQ9PEUs2XrCRiw9d/xqQ1PKUaiAbkTFWf5eU3flj89cH43CoFAFFR0rHv\nNpwtJJ+VihpneKjmS/4sPiKFvFJ6KTyt/fsy5WXxIZeFAPS8Rzu36uXlxXqMat6b4QWdbwt149Jy\nGOFrBKDuxt/q1KavB1HuhYjETAG5VEtRU5IeE7Z14Zw1p1SXx7M7D5/YiwEA+eFhGU1G/16iLDQH\nw9Wz3yuOgoaG5h+HYTDou8PferCAyrOfvbcx+Q04e0cdGDzvtUdXe3GByovLJza6tqX8ts+qA+t9\ntIEn+xbM36vegsUmsK2CtgXP7gbpvQ0zP4+k7rinA0Pwfdft/cpbC7mH5s8OfuP9vb8pvMHrUGho\naFQhuMaW5rpMMFj87qPmeJBfd2FqyZtfnWo5fbJ+rnHq9cSMguKKOi1LzwkzvbgAIH5wI5fyEAtT\n18TMSEvb1H3ypz7aAOSpx86qv71YFUlu+C8hY7ZNMnOdEWB3aa+Gt7u8DjhdR87w1gIEZ7cefwPO\n6vjXQBtjGpp/DVyXBTu3+KqsjBMnnozr8JN+FGDodnEc3MtxsOpVefrB3Tcpr75imo7+Zt/HNo2/\nC479EaWBxae1afvWbq7268qp7mTIynjFroFfPUx9M1HsXyExRXFhd9s7mU7TDmhjTEPzL0VUmhJz\ndPvuS6X/AlssLbkRGWPR37G7hbEOG4C8qvjhzSsn9odcbd8oqrg46cQfW3/XzIIXRU3W+f1ZGgio\nQyATJBzfl/C6U/EfhJ4zpqGhoaGhec10YKejNDQ0NDQ0/w1oY0xDQ0NDQ/OaoY0xDQ0NDQ3Na4Y2\nxjQ0NDQ0NK8Z2hjT0NDQ0NC8ZmhjTENDQ0ND85qhjTENDQ0NDc1rhjbGNDQ0NDQ0r5n/A4cl24tz\neGUHAAAAAElFTkSuQmCC\n",
       "prompt_number": 54,
       "text": [
        "<IPython.core.display.Image at 0x3c71a550>"
       ]
      }
     ],
     "prompt_number": 54
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We'll show to generate this `pandas.DataFrame` (`convdf`) in a bit.  Interestingly, we see that this contract awarded to Harris Corporation was awarded by the US Special Operations Command.  \n",
      "\n",
      "First we have to get Contract objects for each of the "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "len( lines )"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 51,
       "text": [
        "48137"
       ]
      }
     ],
     "prompt_number": 51
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "lines, each of which represents a contract agreed to by a DoD subagency, like DISA or DARPA or MDA, and a *vendor*.  Below we will parse some information out of the lines, eventually saving each contract as the row of a `pandas.DataFrame`, and eventually the row of a database table.\n",
      "\n",
      "The first four and the last line are garbage, so we won't take them.  That means there are 48133 contracts to collect and process.  We drop them now.  Recall we have already iterated through each line of the .xml file, `split`ting each xml line into list entries at the characters `</`."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "lines[0]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 55,
       "text": [
        "['<ns1:listOfAwards xmlns:ns1=\"http://www.fpdsng.com/FPDS\">\\n']"
       ]
      }
     ],
     "prompt_number": 55
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "lines[1]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 56,
       "text": [
        "['<ns1:total>96267', 'ns1:total>\\n']"
       ]
      }
     ],
     "prompt_number": 56
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "lines[2]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 57,
       "text": [
        "['', 'ns1:count>\\n']"
       ]
      }
     ],
     "prompt_number": 57
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "lines[-1]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 59,
       "text": [
        "['', 'ns1:listOfAwards>\\n']"
       ]
      }
     ],
     "prompt_number": 59
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "lines[-2]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 60,
       "text": [
        "['<ns1:award xmlns:ns1=\"http://www.fpdsng.com/FPDS\"><ns1:awardID><ns1:awardContractID><ns1:agencyID>9700',\n",
        " 'ns1:agencyID><ns1:PIID>0021',\n",
        " 'ns1:PIID><ns1:modNumber>0',\n",
        " 'ns1:modNumber><ns1:transactionNumber>0',\n",
        " 'ns1:transactionNumber>',\n",
        " 'ns1:awardContractID><ns1:referencedIDVID><ns1:agencyID>9700',\n",
        " 'ns1:agencyID><ns1:PIID>H9222212D0001',\n",
        " 'ns1:PIID><ns1:modNumber>0',\n",
        " 'ns1:modNumber>',\n",
        " 'ns1:referencedIDVID>',\n",
        " 'ns1:awardID><ns1:relevantContractDates><ns1:signedDate>2012-09-30 23:41:48',\n",
        " 'ns1:signedDate><ns1:effectiveDate>2012-09-30 00:00:00',\n",
        " 'ns1:effectiveDate><ns1:currentCompletionDate>2013-02-27 00:00:00',\n",
        " 'ns1:currentCompletionDate><ns1:ultimateCompletionDate>2013-02-27 00:00:00',\n",
        " 'ns1:ultimateCompletionDate>',\n",
        " 'ns1:relevantContractDates><ns1:dollarValues><ns1:obligatedAmount>784000.00',\n",
        " 'ns1:obligatedAmount><ns1:baseAndExercisedOptionsValue>784000.00',\n",
        " 'ns1:baseAndExercisedOptionsValue><ns1:baseAndAllOptionsValue>784000.00',\n",
        " 'ns1:baseAndAllOptionsValue>',\n",
        " 'ns1:dollarValues><ns1:purchaserInformation><ns1:contractingOfficeAgencyID>97ZS',\n",
        " 'ns1:contractingOfficeAgencyID><ns1:contractingOfficeID>H92222',\n",
        " 'ns1:contractingOfficeID><ns1:fundingRequestingAgencyID>97ZS',\n",
        " 'ns1:fundingRequestingAgencyID><ns1:fundingRequestingOfficeID>H92222',\n",
        " 'ns1:fundingRequestingOfficeID><ns1:foreignFunding>X',\n",
        " 'ns1:foreignFunding>',\n",
        " 'ns1:purchaserInformation><ns1:contractMarketingData><ns1:feePaidForUseOfService>0.00',\n",
        " 'ns1:feePaidForUseOfService>',\n",
        " 'ns1:contractMarketingData><ns1:contractData><ns1:contractActionType>C',\n",
        " 'ns1:contractActionType><ns1:typeOfContractPricing>J',\n",
        " 'ns1:typeOfContractPricing><ns1:nationalInterestActionCode>NONE',\n",
        " 'ns1:nationalInterestActionCode><ns1:costOrPricingData>N',\n",
        " 'ns1:costOrPricingData><ns1:descriptionOfContractRequirement>AN/PRC-117G(V)3(C) Systems&amp;Ancillaries',\n",
        " 'ns1:descriptionOfContractRequirement><ns1:GFE-GFP>N',\n",
        " 'ns1:GFE-GFP><ns1:seaTransportation>N',\n",
        " 'ns1:seaTransportation><ns1:undefinitizedAction>X',\n",
        " 'ns1:undefinitizedAction><ns1:consolidatedContract>N',\n",
        " 'ns1:consolidatedContract><ns1:performanceBasedServiceContract>X',\n",
        " 'ns1:performanceBasedServiceContract><ns1:multiYearContract>N',\n",
        " 'ns1:multiYearContract><ns1:contingencyHumanitarianPeacekeepingOperation>X',\n",
        " 'ns1:contingencyHumanitarianPeacekeepingOperation><ns1:listOfTreasuryAccounts><ns1:treasuryAccount><ns1:treasuryAccountSymbol><ns1:subLevelPrefixCode/><ns1:allocationTransferAgencyIdentifier/><ns1:agencyIdentifier>97',\n",
        " 'ns1:agencyIdentifier><ns1:beginningPeriodOfAvailability/><ns1:endingPeriodOfAvailability/><ns1:availabilityTypeCode/><ns1:mainAccountCode>0300',\n",
        " 'ns1:mainAccountCode><ns1:subAccountCode/>',\n",
        " 'ns1:treasuryAccountSymbol><ns1:initiative/><ns1:obligatedAmount>0',\n",
        " 'ns1:obligatedAmount>',\n",
        " 'ns1:treasuryAccount>',\n",
        " 'ns1:listOfTreasuryAccounts><ns1:contractFinancing>Z',\n",
        " 'ns1:contractFinancing><ns1:purchaseCardAsPaymentMethod>N',\n",
        " 'ns1:purchaseCardAsPaymentMethod><ns1:numberOfActions>1',\n",
        " 'ns1:numberOfActions>',\n",
        " 'ns1:contractData><ns1:legislativeMandates><ns1:ClingerCohenAct>N',\n",
        " 'ns1:ClingerCohenAct><ns1:WalshHealyAct>X',\n",
        " 'ns1:WalshHealyAct><ns1:serviceContractAct>X',\n",
        " 'ns1:serviceContractAct><ns1:DavisBaconAct>X',\n",
        " 'ns1:DavisBaconAct><ns1:interagencyContractingAuthority>X',\n",
        " 'ns1:interagencyContractingAuthority>',\n",
        " 'ns1:legislativeMandates><ns1:productOrServiceInformation><ns1:productOrServiceCode>5820',\n",
        " 'ns1:productOrServiceCode><ns1:contractBundling>D',\n",
        " 'ns1:contractBundling><ns1:claimantProgramCode>A7',\n",
        " 'ns1:claimantProgramCode><ns1:principalNAICSCode>334220',\n",
        " 'ns1:principalNAICSCode><ns1:recoveredMaterialClauses>C',\n",
        " 'ns1:recoveredMaterialClauses><ns1:manufacturingOrganizationType>A',\n",
        " 'ns1:manufacturingOrganizationType><ns1:systemEquipmentCode>000',\n",
        " 'ns1:systemEquipmentCode><ns1:informationTechnologyCommercialItemCategory>Z',\n",
        " 'ns1:informationTechnologyCommercialItemCategory><ns1:useOfEPADesignatedProducts>E',\n",
        " 'ns1:useOfEPADesignatedProducts><ns1:countryOfOrigin>USA',\n",
        " 'ns1:countryOfOrigin><ns1:placeOfManufacture>D',\n",
        " 'ns1:placeOfManufacture>',\n",
        " 'ns1:productOrServiceInformation><ns1:vendor><ns1:vendorHeader><ns1:vendorName>HARRIS CORPORATION',\n",
        " 'ns1:vendorName><ns1:vendorAlternateName>HARRIS RF COMMUNICATION',\n",
        " 'ns1:vendorAlternateName><ns1:vendorLegalOrganizationName>HARRIS CORPORATION',\n",
        " 'ns1:vendorLegalOrganizationName>',\n",
        " 'ns1:vendorHeader><ns1:vendorSiteDetails><ns1:vendorSocioEconomicIndicators><ns1:isAlaskanNativeOwnedCorporationOrFirm>false',\n",
        " 'ns1:isAlaskanNativeOwnedCorporationOrFirm><ns1:isAmericanIndianOwned>false',\n",
        " 'ns1:isAmericanIndianOwned><ns1:isIndianTribe>false',\n",
        " 'ns1:isIndianTribe><ns1:isNativeHawaiianOwnedOrganizationOrFirm>false',\n",
        " 'ns1:isNativeHawaiianOwnedOrganizationOrFirm><ns1:isTriballyOwnedFirm>false',\n",
        " 'ns1:isTriballyOwnedFirm><ns1:isVeteranOwned>false',\n",
        " 'ns1:isVeteranOwned><ns1:isServiceRelatedDisabledVeteranOwnedBusiness>false',\n",
        " 'ns1:isServiceRelatedDisabledVeteranOwnedBusiness><ns1:isWomenOwned>false',\n",
        " 'ns1:isWomenOwned><ns1:minorityOwned><ns1:isMinorityOwned>false',\n",
        " 'ns1:isMinorityOwned><ns1:isSubContinentAsianAmericanOwnedBusiness>false',\n",
        " 'ns1:isSubContinentAsianAmericanOwnedBusiness><ns1:isAsianPacificAmericanOwnedBusiness>false',\n",
        " 'ns1:isAsianPacificAmericanOwnedBusiness><ns1:isBlackAmericanOwnedBusiness>false',\n",
        " 'ns1:isBlackAmericanOwnedBusiness><ns1:isHispanicAmericanOwnedBusiness>false',\n",
        " 'ns1:isHispanicAmericanOwnedBusiness><ns1:isNativeAmericanOwnedBusiness>false',\n",
        " 'ns1:isNativeAmericanOwnedBusiness><ns1:isOtherMinorityOwned>false',\n",
        " 'ns1:isOtherMinorityOwned>',\n",
        " 'ns1:minorityOwned><ns1:isVerySmallBusiness>false',\n",
        " 'ns1:isVerySmallBusiness>',\n",
        " 'ns1:vendorSocioEconomicIndicators><ns1:vendorBusinessTypes><ns1:isCommunityDevelopedCorporationOwnedFirm>false',\n",
        " 'ns1:isCommunityDevelopedCorporationOwnedFirm><ns1:isLaborSurplusAreaFirm>false',\n",
        " 'ns1:isLaborSurplusAreaFirm><ns1:federalGovernment><ns1:isFederalGovernment>false',\n",
        " 'ns1:isFederalGovernment><ns1:isFederallyFundedResearchAndDevelopmentCorp>false',\n",
        " 'ns1:isFederallyFundedResearchAndDevelopmentCorp><ns1:isFederalGovernmentAgency>false',\n",
        " 'ns1:isFederalGovernmentAgency>',\n",
        " 'ns1:federalGovernment><ns1:isStateGovernment>false',\n",
        " 'ns1:isStateGovernment><ns1:localGovernment><ns1:isLocalGovernment>false',\n",
        " 'ns1:isLocalGovernment><ns1:isCityLocalGovernment>false',\n",
        " 'ns1:isCityLocalGovernment><ns1:isCountyLocalGovernment>false',\n",
        " 'ns1:isCountyLocalGovernment><ns1:isInterMunicipalLocalGovernment>false',\n",
        " 'ns1:isInterMunicipalLocalGovernment><ns1:isLocalGovernmentOwned>false',\n",
        " 'ns1:isLocalGovernmentOwned><ns1:isMunicipalityLocalGovernment>false',\n",
        " 'ns1:isMunicipalityLocalGovernment><ns1:isSchoolDistrictLocalGovernment>false',\n",
        " 'ns1:isSchoolDistrictLocalGovernment><ns1:isTownshipLocalGovernment>false',\n",
        " 'ns1:isTownshipLocalGovernment>',\n",
        " 'ns1:localGovernment><ns1:isTribalGovernment>false',\n",
        " 'ns1:isTribalGovernment><ns1:isForeignGovernment>false',\n",
        " 'ns1:isForeignGovernment><ns1:businessOrOrganizationType><ns1:isCorporateEntityNotTaxExempt>true',\n",
        " 'ns1:isCorporateEntityNotTaxExempt><ns1:isCorporateEntityTaxExempt>false',\n",
        " 'ns1:isCorporateEntityTaxExempt><ns1:isPartnershipOrLimitedLiabilityPartnership>false',\n",
        " 'ns1:isPartnershipOrLimitedLiabilityPartnership><ns1:isSolePropreitorship>false',\n",
        " 'ns1:isSolePropreitorship><ns1:isSmallAgriculturalCooperative>false',\n",
        " 'ns1:isSmallAgriculturalCooperative><ns1:isInternationalOrganization>false',\n",
        " 'ns1:isInternationalOrganization>',\n",
        " 'ns1:businessOrOrganizationType>',\n",
        " 'ns1:vendorBusinessTypes><ns1:vendorLineOfBusiness><ns1:isCommunityDevelopmentCorporation>false',\n",
        " 'ns1:isCommunityDevelopmentCorporation><ns1:isDomesticShelter>false',\n",
        " 'ns1:isDomesticShelter><ns1:isEducationalInstitution>false',\n",
        " 'ns1:isEducationalInstitution><ns1:isFoundation>false',\n",
        " 'ns1:isFoundation><ns1:isHospital>false',\n",
        " 'ns1:isHospital><ns1:isManufacturerOfGoods>true',\n",
        " 'ns1:isManufacturerOfGoods><ns1:isVeterinaryHospital>false',\n",
        " 'ns1:isVeterinaryHospital><ns1:isHispanicServicingInstitution>false',\n",
        " 'ns1:isHispanicServicingInstitution>',\n",
        " 'ns1:vendorLineOfBusiness><ns1:vendorRelationshipWithFederalGovernment><ns1:receivesContracts>true',\n",
        " 'ns1:receivesContracts><ns1:receivesGrants>false',\n",
        " 'ns1:receivesGrants><ns1:receivesContractsAndGrants>false',\n",
        " 'ns1:receivesContractsAndGrants>',\n",
        " 'ns1:vendorRelationshipWithFederalGovernment><ns1:typeOfGovernmentEntity><ns1:isAirportAuthority>false',\n",
        " 'ns1:isAirportAuthority><ns1:isCouncilOfGovernments>false',\n",
        " 'ns1:isCouncilOfGovernments><ns1:isHousingAuthoritiesPublicOrTribal>false',\n",
        " 'ns1:isHousingAuthoritiesPublicOrTribal><ns1:isInterstateEntity>false',\n",
        " 'ns1:isInterstateEntity><ns1:isPlanningCommission>false',\n",
        " 'ns1:isPlanningCommission><ns1:isPortAuthority>false',\n",
        " 'ns1:isPortAuthority><ns1:isTransitAuthority>false',\n",
        " 'ns1:isTransitAuthority>',\n",
        " 'ns1:typeOfGovernmentEntity><ns1:vendorOrganizationFactors><ns1:isSubchapterSCorporation>false',\n",
        " 'ns1:isSubchapterSCorporation><ns1:isLimitedLiabilityCorporation>false',\n",
        " 'ns1:isLimitedLiabilityCorporation><ns1:isForeignOwnedAndLocated>false',\n",
        " 'ns1:isForeignOwnedAndLocated><ns1:profitStructure><ns1:isForProfitOrganization>true',\n",
        " 'ns1:isForProfitOrganization><ns1:isNonprofitOrganization>false',\n",
        " 'ns1:isNonprofitOrganization><ns1:isOtherNotForProfitOrganization>false',\n",
        " 'ns1:isOtherNotForProfitOrganization>',\n",
        " 'ns1:profitStructure><ns1:isShelteredWorkshop>false',\n",
        " 'ns1:isShelteredWorkshop><ns1:stateOfIncorporation>DE',\n",
        " 'ns1:stateOfIncorporation><ns1:countryOfIncorporation>USA',\n",
        " 'ns1:countryOfIncorporation><ns1:organizationalType>CORPORATE NOT TAX EXEMPT',\n",
        " 'ns1:organizationalType><ns1:numberOfEmployees>1700',\n",
        " 'ns1:numberOfEmployees><ns1:annualRevenue>800000000',\n",
        " 'ns1:annualRevenue>',\n",
        " 'ns1:vendorOrganizationFactors><ns1:typeOfEducationalEntity><ns1:is1862LandGrantCollege>false',\n",
        " 'ns1:is1862LandGrantCollege><ns1:is1890LandGrantCollege>false',\n",
        " 'ns1:is1890LandGrantCollege><ns1:is1994LandGrantCollege>false',\n",
        " 'ns1:is1994LandGrantCollege><ns1:isHistoricallyBlackCollegeOrUniversity>false',\n",
        " 'ns1:isHistoricallyBlackCollegeOrUniversity><ns1:isMinorityInstitution>false',\n",
        " 'ns1:isMinorityInstitution><ns1:isPrivateUniversityOrCollege>false',\n",
        " 'ns1:isPrivateUniversityOrCollege><ns1:isSchoolOfForestry>false',\n",
        " 'ns1:isSchoolOfForestry><ns1:isStateControlledInstitutionofHigherLearning>false',\n",
        " 'ns1:isStateControlledInstitutionofHigherLearning><ns1:isTribalCollege>false',\n",
        " 'ns1:isTribalCollege><ns1:isVeterinaryCollege>false',\n",
        " 'ns1:isVeterinaryCollege>',\n",
        " 'ns1:typeOfEducationalEntity><ns1:vendorCertifications><ns1:isDOTCertifiedDisadvantagedBusinessEnterprise>false',\n",
        " 'ns1:isDOTCertifiedDisadvantagedBusinessEnterprise><ns1:isSelfCertifiedSmallDisadvantagedBusiness>false',\n",
        " 'ns1:isSelfCertifiedSmallDisadvantagedBusiness><ns1:isSBACertifiedSmallDisadvantagedBusiness>false',\n",
        " 'ns1:isSBACertifiedSmallDisadvantagedBusiness><ns1:isSBACertified8AProgramParticipant>false',\n",
        " 'ns1:isSBACertified8AProgramParticipant><ns1:isSBACertifiedHUBZone>false',\n",
        " 'ns1:isSBACertifiedHUBZone><ns1:isSBACertified8AJointVenture>false',\n",
        " 'ns1:isSBACertified8AJointVenture>',\n",
        " 'ns1:vendorCertifications><ns1:vendorLocation><ns1:streetAddress>1680 UNIVERSITY AVE',\n",
        " 'ns1:streetAddress><ns1:city>ROCHESTER',\n",
        " 'ns1:city><ns1:state>NY',\n",
        " 'ns1:state><ns1:ZIPCode>146101839',\n",
        " 'ns1:ZIPCode><ns1:countryCode>USA',\n",
        " 'ns1:countryCode><ns1:phoneNo>5852423185',\n",
        " 'ns1:phoneNo><ns1:faxNo>0000000000',\n",
        " 'ns1:faxNo><ns1:congressionalDistrictCode>28',\n",
        " 'ns1:congressionalDistrictCode>',\n",
        " 'ns1:vendorLocation><ns1:vendorSiteCode>002204600',\n",
        " 'ns1:vendorSiteCode><ns1:vendorAlternateSiteCode>146101839',\n",
        " 'ns1:vendorAlternateSiteCode><ns1:vendorDUNSInformation><ns1:DUNSNumber>002204600',\n",
        " 'ns1:DUNSNumber>',\n",
        " 'ns1:vendorDUNSInformation><ns1:ccrRegistrationDetails><ns1:registrationDate>2002-03-02 00:00:00',\n",
        " 'ns1:registrationDate><ns1:renewalDate>2012-08-22 00:00:00',\n",
        " 'ns1:renewalDate>',\n",
        " 'ns1:ccrRegistrationDetails>',\n",
        " 'ns1:vendorSiteDetails><ns1:contractingOfficerBusinessSizeDetermination>O',\n",
        " 'ns1:contractingOfficerBusinessSizeDetermination>',\n",
        " 'ns1:vendor><ns1:placeOfPerformance><ns1:principalPlaceOfPerformance><ns1:stateCode>NY',\n",
        " 'ns1:stateCode><ns1:countryCode>USA',\n",
        " 'ns1:countryCode>',\n",
        " 'ns1:principalPlaceOfPerformance><ns1:placeOfPerformanceZIPCode>146101839',\n",
        " 'ns1:placeOfPerformanceZIPCode><ns1:placeOfPerformanceCongressionalDistrict>28',\n",
        " 'ns1:placeOfPerformanceCongressionalDistrict>',\n",
        " 'ns1:placeOfPerformance><ns1:competition><ns1:extentCompeted>C',\n",
        " 'ns1:extentCompeted><ns1:solicitationProcedures>SSS',\n",
        " 'ns1:solicitationProcedures><ns1:typeOfSetAside>NONE',\n",
        " 'ns1:typeOfSetAside><ns1:evaluatedPreference>NONE',\n",
        " 'ns1:evaluatedPreference><ns1:reasonNotCompeted>UNQ',\n",
        " 'ns1:reasonNotCompeted><ns1:numberOfOffersReceived>1',\n",
        " 'ns1:numberOfOffersReceived><ns1:commercialItemAcquisitionProcedures>A',\n",
        " 'ns1:commercialItemAcquisitionProcedures><ns1:commercialItemTestProgram>N',\n",
        " 'ns1:commercialItemTestProgram><ns1:A76Action>N',\n",
        " 'ns1:A76Action><ns1:fedBizOpps>Y',\n",
        " 'ns1:fedBizOpps><ns1:localAreaSetAside>N',\n",
        " 'ns1:localAreaSetAside>',\n",
        " 'ns1:competition><ns1:preferencePrograms/><ns1:transactionInformation><ns1:createdBy>[email protected]',\n",
        " 'ns1:createdBy><ns1:createdDate>2012-09-30 23:37:01',\n",
        " 'ns1:createdDate><ns1:lastModifiedBy>[email protected]',\n",
        " 'ns1:lastModifiedBy><ns1:lastModifiedDate>2012-09-30 23:42:13',\n",
        " 'ns1:lastModifiedDate><ns1:status>F',\n",
        " 'ns1:status>',\n",
        " 'ns1:transactionInformation>',\n",
        " 'ns1:award>\\n']"
       ]
      }
     ],
     "prompt_number": 60
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "lines[3]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 58,
       "text": [
        "['<ns1:award xmlns:ns1=\"http://www.fpdsng.com/FPDS\"><ns1:awardID><ns1:awardContractID><ns1:agencyID>9700',\n",
        " 'ns1:agencyID><ns1:PIID>H9821011F0108',\n",
        " 'ns1:PIID><ns1:modNumber>P00002',\n",
        " 'ns1:modNumber><ns1:transactionNumber>0',\n",
        " 'ns1:transactionNumber>',\n",
        " 'ns1:awardContractID><ns1:referencedIDVID><ns1:agencyID>4730',\n",
        " 'ns1:agencyID><ns1:PIID>GS25F0051S',\n",
        " 'ns1:PIID><ns1:modNumber>0',\n",
        " 'ns1:modNumber>',\n",
        " 'ns1:referencedIDVID>',\n",
        " 'ns1:awardID><ns1:relevantContractDates><ns1:signedDate>2011-10-06 15:19:41',\n",
        " 'ns1:signedDate><ns1:effectiveDate>2011-10-07 00:00:00',\n",
        " 'ns1:effectiveDate><ns1:currentCompletionDate>2012-09-13 00:00:00',\n",
        " 'ns1:currentCompletionDate><ns1:ultimateCompletionDate>2014-09-13 00:00:00',\n",
        " 'ns1:ultimateCompletionDate>',\n",
        " 'ns1:relevantContractDates><ns1:dollarValues><ns1:obligatedAmount>-4800.00',\n",
        " 'ns1:obligatedAmount><ns1:baseAndExercisedOptionsValue>-4800.00',\n",
        " 'ns1:baseAndExercisedOptionsValue><ns1:baseAndAllOptionsValue>-14400.00',\n",
        " 'ns1:baseAndAllOptionsValue>',\n",
        " 'ns1:dollarValues><ns1:purchaserInformation><ns1:contractingOfficeAgencyID>9748',\n",
        " 'ns1:contractingOfficeAgencyID><ns1:contractingOfficeID>H98210',\n",
        " 'ns1:contractingOfficeID><ns1:fundingRequestingAgencyID>9748',\n",
        " 'ns1:fundingRequestingAgencyID><ns1:fundingRequestingOfficeID>H98210',\n",
        " 'ns1:fundingRequestingOfficeID><ns1:foreignFunding>X',\n",
        " 'ns1:foreignFunding>',\n",
        " 'ns1:purchaserInformation><ns1:contractMarketingData><ns1:feePaidForUseOfService>0.00',\n",
        " 'ns1:feePaidForUseOfService>',\n",
        " 'ns1:contractMarketingData><ns1:contractData><ns1:contractActionType>C',\n",
        " 'ns1:contractActionType><ns1:typeOfContractPricing>J',\n",
        " 'ns1:typeOfContractPricing><ns1:reasonForModification>C',\n",
        " 'ns1:reasonForModification><ns1:nationalInterestActionCode>NONE',\n",
        " 'ns1:nationalInterestActionCode><ns1:solicitationID>H9821011T0048',\n",
        " 'ns1:solicitationID><ns1:descriptionOfContractRequirement>Panasonic DP-C405 Monthly Maintenance',\n",
        " 'ns1:descriptionOfContractRequirement><ns1:GFE-GFP>N',\n",
        " 'ns1:GFE-GFP><ns1:seaTransportation>U',\n",
        " 'ns1:seaTransportation><ns1:undefinitizedAction>X',\n",
        " 'ns1:undefinitizedAction><ns1:consolidatedContract>N',\n",
        " 'ns1:consolidatedContract><ns1:performanceBasedServiceContract>Y',\n",
        " 'ns1:performanceBasedServiceContract><ns1:multiYearContract>N',\n",
        " 'ns1:multiYearContract><ns1:contingencyHumanitarianPeacekeepingOperation>X',\n",
        " 'ns1:contingencyHumanitarianPeacekeepingOperation><ns1:listOfTreasuryAccounts><ns1:treasuryAccount><ns1:treasuryAccountSymbol><ns1:subLevelPrefixCode/><ns1:allocationTransferAgencyIdentifier/><ns1:agencyIdentifier>97',\n",
        " 'ns1:agencyIdentifier><ns1:beginningPeriodOfAvailability/><ns1:endingPeriodOfAvailability/><ns1:availabilityTypeCode/><ns1:mainAccountCode>0100',\n",
        " 'ns1:mainAccountCode><ns1:subAccountCode/>',\n",
        " 'ns1:treasuryAccountSymbol><ns1:initiative/><ns1:obligatedAmount>0',\n",
        " 'ns1:obligatedAmount>',\n",
        " 'ns1:treasuryAccount>',\n",
        " 'ns1:listOfTreasuryAccounts><ns1:contractFinancing>Z',\n",
        " 'ns1:contractFinancing><ns1:purchaseCardAsPaymentMethod>Y',\n",
        " 'ns1:purchaseCardAsPaymentMethod><ns1:numberOfActions>1',\n",
        " 'ns1:numberOfActions>',\n",
        " 'ns1:contractData><ns1:legislativeMandates><ns1:ClingerCohenAct>N',\n",
        " 'ns1:ClingerCohenAct><ns1:WalshHealyAct>X',\n",
        " 'ns1:WalshHealyAct><ns1:serviceContractAct>X',\n",
        " 'ns1:serviceContractAct><ns1:DavisBaconAct>X',\n",
        " 'ns1:DavisBaconAct><ns1:interagencyContractingAuthority>X',\n",
        " 'ns1:interagencyContractingAuthority>',\n",
        " 'ns1:legislativeMandates><ns1:productOrServiceInformation><ns1:productOrServiceCode>D304',\n",
        " 'ns1:productOrServiceCode><ns1:contractBundling>D',\n",
        " 'ns1:contractBundling><ns1:claimantProgramCode>S1',\n",
        " 'ns1:claimantProgramCode><ns1:principalNAICSCode>423420',\n",
        " 'ns1:principalNAICSCode><ns1:recoveredMaterialClauses>C',\n",
        " 'ns1:recoveredMaterialClauses><ns1:systemEquipmentCode>000',\n",
        " 'ns1:systemEquipmentCode><ns1:informationTechnologyCommercialItemCategory>F',\n",
        " 'ns1:informationTechnologyCommercialItemCategory><ns1:useOfEPADesignatedProducts>E',\n",
        " 'ns1:useOfEPADesignatedProducts><ns1:countryOfOrigin>USA',\n",
        " 'ns1:countryOfOrigin><ns1:placeOfManufacture>C',\n",
        " 'ns1:placeOfManufacture>',\n",
        " 'ns1:productOrServiceInformation><ns1:vendor><ns1:vendorHeader><ns1:vendorName>FAX PLUS INCORPORATED',\n",
        " 'ns1:vendorName><ns1:vendorLegalOrganizationName>FAX PLUS INCORPORATED',\n",
        " 'ns1:vendorLegalOrganizationName>',\n",
        " 'ns1:vendorHeader><ns1:vendorSiteDetails><ns1:vendorSocioEconomicIndicators><ns1:isAlaskanNativeOwnedCorporationOrFirm>false',\n",
        " 'ns1:isAlaskanNativeOwnedCorporationOrFirm><ns1:isAmericanIndianOwned>false',\n",
        " 'ns1:isAmericanIndianOwned><ns1:isIndianTribe>false',\n",
        " 'ns1:isIndianTribe><ns1:isNativeHawaiianOwnedOrganizationOrFirm>false',\n",
        " 'ns1:isNativeHawaiianOwnedOrganizationOrFirm><ns1:isTriballyOwnedFirm>false',\n",
        " 'ns1:isTriballyOwnedFirm><ns1:isVeteranOwned>false',\n",
        " 'ns1:isVeteranOwned><ns1:isServiceRelatedDisabledVeteranOwnedBusiness>false',\n",
        " 'ns1:isServiceRelatedDisabledVeteranOwnedBusiness><ns1:isWomenOwned>false',\n",
        " 'ns1:isWomenOwned><ns1:minorityOwned><ns1:isMinorityOwned>false',\n",
        " 'ns1:isMinorityOwned><ns1:isSubContinentAsianAmericanOwnedBusiness>false',\n",
        " 'ns1:isSubContinentAsianAmericanOwnedBusiness><ns1:isAsianPacificAmericanOwnedBusiness>false',\n",
        " 'ns1:isAsianPacificAmericanOwnedBusiness><ns1:isBlackAmericanOwnedBusiness>false',\n",
        " 'ns1:isBlackAmericanOwnedBusiness><ns1:isHispanicAmericanOwnedBusiness>false',\n",
        " 'ns1:isHispanicAmericanOwnedBusiness><ns1:isNativeAmericanOwnedBusiness>false',\n",
        " 'ns1:isNativeAmericanOwnedBusiness><ns1:isOtherMinorityOwned>false',\n",
        " 'ns1:isOtherMinorityOwned>',\n",
        " 'ns1:minorityOwned><ns1:isVerySmallBusiness>false',\n",
        " 'ns1:isVerySmallBusiness>',\n",
        " 'ns1:vendorSocioEconomicIndicators><ns1:vendorBusinessTypes><ns1:isCommunityDevelopedCorporationOwnedFirm>false',\n",
        " 'ns1:isCommunityDevelopedCorporationOwnedFirm><ns1:isLaborSurplusAreaFirm>false',\n",
        " 'ns1:isLaborSurplusAreaFirm><ns1:federalGovernment><ns1:isFederalGovernment>false',\n",
        " 'ns1:isFederalGovernment><ns1:isFederallyFundedResearchAndDevelopmentCorp>false',\n",
        " 'ns1:isFederallyFundedResearchAndDevelopmentCorp><ns1:isFederalGovernmentAgency>false',\n",
        " 'ns1:isFederalGovernmentAgency>',\n",
        " 'ns1:federalGovernment><ns1:isStateGovernment>false',\n",
        " 'ns1:isStateGovernment><ns1:localGovernment><ns1:isLocalGovernment>false',\n",
        " 'ns1:isLocalGovernment><ns1:isCityLocalGovernment>false',\n",
        " 'ns1:isCityLocalGovernment><ns1:isCountyLocalGovernment>false',\n",
        " 'ns1:isCountyLocalGovernment><ns1:isInterMunicipalLocalGovernment>false',\n",
        " 'ns1:isInterMunicipalLocalGovernment><ns1:isLocalGovernmentOwned>false',\n",
        " 'ns1:isLocalGovernmentOwned><ns1:isMunicipalityLocalGovernment>false',\n",
        " 'ns1:isMunicipalityLocalGovernment><ns1:isSchoolDistrictLocalGovernment>false',\n",
        " 'ns1:isSchoolDistrictLocalGovernment><ns1:isTownshipLocalGovernment>false',\n",
        " 'ns1:isTownshipLocalGovernment>',\n",
        " 'ns1:localGovernment><ns1:isTribalGovernment>false',\n",
        " 'ns1:isTribalGovernment><ns1:isForeignGovernment>false',\n",
        " 'ns1:isForeignGovernment><ns1:businessOrOrganizationType><ns1:isCorporateEntityNotTaxExempt>false',\n",
        " 'ns1:isCorporateEntityNotTaxExempt><ns1:isCorporateEntityTaxExempt>false',\n",
        " 'ns1:isCorporateEntityTaxExempt><ns1:isPartnershipOrLimitedLiabilityPartnership>false',\n",
        " 'ns1:isPartnershipOrLimitedLiabilityPartnership><ns1:isSolePropreitorship>false',\n",
        " 'ns1:isSolePropreitorship><ns1:isSmallAgriculturalCooperative>false',\n",
        " 'ns1:isSmallAgriculturalCooperative><ns1:isInternationalOrganization>false',\n",
        " 'ns1:isInternationalOrganization>',\n",
        " 'ns1:businessOrOrganizationType>',\n",
        " 'ns1:vendorBusinessTypes><ns1:vendorLineOfBusiness><ns1:isCommunityDevelopmentCorporation>false',\n",
        " 'ns1:isCommunityDevelopmentCorporation><ns1:isDomesticShelter>false',\n",
        " 'ns1:isDomesticShelter><ns1:isEducationalInstitution>false',\n",
        " 'ns1:isEducationalInstitution><ns1:isFoundation>false',\n",
        " 'ns1:isFoundation><ns1:isHospital>false',\n",
        " 'ns1:isHospital><ns1:isManufacturerOfGoods>false',\n",
        " 'ns1:isManufacturerOfGoods><ns1:isVeterinaryHospital>false',\n",
        " 'ns1:isVeterinaryHospital><ns1:isHispanicServicingInstitution>false',\n",
        " 'ns1:isHispanicServicingInstitution>',\n",
        " 'ns1:vendorLineOfBusiness><ns1:vendorRelationshipWithFederalGovernment><ns1:receivesContracts>false',\n",
        " 'ns1:receivesContracts><ns1:receivesGrants>false',\n",
        " 'ns1:receivesGrants><ns1:receivesContractsAndGrants>false',\n",
        " 'ns1:receivesContractsAndGrants>',\n",
        " 'ns1:vendorRelationshipWithFederalGovernment><ns1:typeOfGovernmentEntity><ns1:isAirportAuthority>false',\n",
        " 'ns1:isAirportAuthority><ns1:isCouncilOfGovernments>false',\n",
        " 'ns1:isCouncilOfGovernments><ns1:isHousingAuthoritiesPublicOrTribal>false',\n",
        " 'ns1:isHousingAuthoritiesPublicOrTribal><ns1:isInterstateEntity>false',\n",
        " 'ns1:isInterstateEntity><ns1:isPlanningCommission>false',\n",
        " 'ns1:isPlanningCommission><ns1:isPortAuthority>false',\n",
        " 'ns1:isPortAuthority><ns1:isTransitAuthority>false',\n",
        " 'ns1:isTransitAuthority>',\n",
        " 'ns1:typeOfGovernmentEntity><ns1:vendorOrganizationFactors><ns1:isSubchapterSCorporation>false',\n",
        " 'ns1:isSubchapterSCorporation><ns1:isLimitedLiabilityCorporation>false',\n",
        " 'ns1:isLimitedLiabilityCorporation><ns1:isForeignOwnedAndLocated>false',\n",
        " 'ns1:isForeignOwnedAndLocated><ns1:profitStructure><ns1:isForProfitOrganization>false',\n",
        " 'ns1:isForProfitOrganization><ns1:isNonprofitOrganization>false',\n",
        " 'ns1:isNonprofitOrganization><ns1:isOtherNotForProfitOrganization>false',\n",
        " 'ns1:isOtherNotForProfitOrganization>',\n",
        " 'ns1:profitStructure><ns1:isShelteredWorkshop>false',\n",
        " 'ns1:isShelteredWorkshop><ns1:numberOfEmployees>38',\n",
        " 'ns1:numberOfEmployees><ns1:annualRevenue>11000000',\n",
        " 'ns1:annualRevenue>',\n",
        " 'ns1:vendorOrganizationFactors><ns1:typeOfEducationalEntity><ns1:is1862LandGrantCollege>false',\n",
        " 'ns1:is1862LandGrantCollege><ns1:is1890LandGrantCollege>false',\n",
        " 'ns1:is1890LandGrantCollege><ns1:is1994LandGrantCollege>false',\n",
        " 'ns1:is1994LandGrantCollege><ns1:isHistoricallyBlackCollegeOrUniversity>false',\n",
        " 'ns1:isHistoricallyBlackCollegeOrUniversity><ns1:isMinorityInstitution>false',\n",
        " 'ns1:isMinorityInstitution><ns1:isPrivateUniversityOrCollege>false',\n",
        " 'ns1:isPrivateUniversityOrCollege><ns1:isSchoolOfForestry>false',\n",
        " 'ns1:isSchoolOfForestry><ns1:isStateControlledInstitutionofHigherLearning>false',\n",
        " 'ns1:isStateControlledInstitutionofHigherLearning><ns1:isTribalCollege>false',\n",
        " 'ns1:isTribalCollege><ns1:isVeterinaryCollege>false',\n",
        " 'ns1:isVeterinaryCollege>',\n",
        " 'ns1:typeOfEducationalEntity><ns1:vendorCertifications><ns1:isDOTCertifiedDisadvantagedBusinessEnterprise>false',\n",
        " 'ns1:isDOTCertifiedDisadvantagedBusinessEnterprise><ns1:isSelfCertifiedSmallDisadvantagedBusiness>false',\n",
        " 'ns1:isSelfCertifiedSmallDisadvantagedBusiness><ns1:isSBACertifiedSmallDisadvantagedBusiness>false',\n",
        " 'ns1:isSBACertifiedSmallDisadvantagedBusiness><ns1:isSBACertified8AProgramParticipant>false',\n",
        " 'ns1:isSBACertified8AProgramParticipant><ns1:isSBACertifiedHUBZone>false',\n",
        " 'ns1:isSBACertifiedHUBZone><ns1:isSBACertified8AJointVenture>false',\n",
        " 'ns1:isSBACertified8AJointVenture>',\n",
        " 'ns1:vendorCertifications><ns1:vendorLocation><ns1:streetAddress>1011 ARLINGTON BLVD',\n",
        " 'ns1:streetAddress><ns1:city>ARLINGTON',\n",
        " 'ns1:city><ns1:state>VA',\n",
        " 'ns1:state><ns1:ZIPCode>222092200',\n",
        " 'ns1:ZIPCode><ns1:countryCode>USA',\n",
        " 'ns1:countryCode><ns1:congressionalDistrictCode>08',\n",
        " 'ns1:congressionalDistrictCode>',\n",
        " 'ns1:vendorLocation><ns1:vendorSiteCode>1938031030000PR',\n",
        " 'ns1:vendorSiteCode><ns1:vendorAlternateSiteCode>222092200',\n",
        " 'ns1:vendorAlternateSiteCode><ns1:vendorDUNSInformation><ns1:DUNSNumber>193803103',\n",
        " 'ns1:DUNSNumber>',\n",
        " 'ns1:vendorDUNSInformation><ns1:ccrRegistrationDetails><ns1:registrationDate>2001-06-13 00:00:00',\n",
        " 'ns1:registrationDate><ns1:renewalDate>2008-01-30 00:00:00',\n",
        " 'ns1:renewalDate>',\n",
        " 'ns1:ccrRegistrationDetails>',\n",
        " 'ns1:vendorSiteDetails><ns1:contractingOfficerBusinessSizeDetermination>S',\n",
        " 'ns1:contractingOfficerBusinessSizeDetermination>',\n",
        " 'ns1:vendor><ns1:placeOfPerformance><ns1:principalPlaceOfPerformance><ns1:stateCode>VA',\n",
        " 'ns1:stateCode><ns1:countryCode>USA',\n",
        " 'ns1:countryCode>',\n",
        " 'ns1:principalPlaceOfPerformance><ns1:placeOfPerformanceZIPCode>222091510',\n",
        " 'ns1:placeOfPerformanceZIPCode><ns1:placeOfPerformanceCongressionalDistrict>08',\n",
        " 'ns1:placeOfPerformanceCongressionalDistrict>',\n",
        " 'ns1:placeOfPerformance><ns1:competition><ns1:extentCompeted>A',\n",
        " 'ns1:extentCompeted><ns1:solicitationProcedures>MAFO',\n",
        " 'ns1:solicitationProcedures><ns1:typeOfSetAside>NONE',\n",
        " 'ns1:typeOfSetAside><ns1:evaluatedPreference>NONE',\n",
        " 'ns1:evaluatedPreference><ns1:statutoryExceptionToFairOpportunity>FAIR',\n",
        " 'ns1:statutoryExceptionToFairOpportunity><ns1:numberOfOffersReceived>2',\n",
        " 'ns1:numberOfOffersReceived><ns1:commercialItemAcquisitionProcedures>A',\n",
        " 'ns1:commercialItemAcquisitionProcedures><ns1:commercialItemTestProgram>N',\n",
        " 'ns1:commercialItemTestProgram><ns1:A76Action>N',\n",
        " 'ns1:A76Action><ns1:fedBizOpps>X',\n",
        " 'ns1:fedBizOpps><ns1:localAreaSetAside>N',\n",
        " 'ns1:localAreaSetAside>',\n",
        " 'ns1:competition><ns1:preferencePrograms/><ns1:transactionInformation><ns1:createdBy>[email protected]',\n",
        " 'ns1:createdBy><ns1:createdDate>2011-12-06 15:39:25',\n",
        " 'ns1:createdDate><ns1:lastModifiedBy>IDV_CORRECT',\n",
        " 'ns1:lastModifiedBy><ns1:lastModifiedDate>2012-09-29 21:45:15',\n",
        " 'ns1:lastModifiedDate><ns1:status>F',\n",
        " 'ns1:status>',\n",
        " 'ns1:transactionInformation>',\n",
        " 'ns1:award>\\n']"
       ]
      }
     ],
     "prompt_number": 58
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "So, just keep the good ones and create a Contract generator:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ct_generator = ( Contract(line) for line in lines[3:-1] )"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 67
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Note that no Contract objects have been created yet, so in a sense we are imposing laziness.\n",
      "\n",
      "Next, though, we'll break that laziness and force the creation of a list of arrays with each Contract's information.  We'll then use those arrays to populate a dictionary that is then sent to be a `pandas.DataFrame`.  The next cell's execution will take considerably longer.  The xml file is a little over 1GB, so I'm not sure if the time it takes to parse it is reasonable or not."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "tup = [ array([c.institute(), c.naics(), c.subagency(), c.city(), \n",
      "        c.zipcode(), c.obligation()] )  for c in ct_generator ]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 69
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "`tups` is also a generator that iterates over a generator.  So far everything executed fast because no actual searching through each xml-line/contract has been done.  This will change when we use a list comprehension to build a dictionary as an intermediate step to building a DataFrame where each row is data from a single DoD contract."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "contracts_dict = { 'institute': [ a[0] for a in tup ],\n",
      "                  'naics' : [ a[1] for a in tup ],\n",
      "                  'subagency' : [ a[2] for a in tup ],\n",
      "                  'city' : [a[3] for a in tup ],\n",
      "                  'zipcode' : [ a[4] for a in tup ],\n",
      "                  'obligation' : [ a[5] for a in tup]\n",
      "                  }"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 75
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Since all those values were already in memory, the previous cell executes quickly.\n",
      "\n",
      "Now it is simple to create a `pandas.DataFrame` out of the dictionary:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from pandas import DataFrame"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 76
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "contracts_df = DataFrame( contracts_dict )"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 77
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "contracts_df.head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>city</th>\n",
        "      <th>institute</th>\n",
        "      <th>naics</th>\n",
        "      <th>obligation</th>\n",
        "      <th>subagency</th>\n",
        "      <th>zipcode</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>      ARLINGTON</td>\n",
        "      <td>                     FAX PLUS INCORPORATED</td>\n",
        "      <td> 423420</td>\n",
        "      <td> -4800.0</td>\n",
        "      <td> 9748</td>\n",
        "      <td> 222092200</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>      ARLINGTON</td>\n",
        "      <td>                     FAX PLUS INCORPORATED</td>\n",
        "      <td> 423420</td>\n",
        "      <td>     0.0</td>\n",
        "      <td> 9748</td>\n",
        "      <td> 222092200</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>     ALEXANDRIA</td>\n",
        "      <td> LOCKHEED MARTIN INTEGRATED TECHNOLOGY LLC</td>\n",
        "      <td> 541519</td>\n",
        "      <td>     0.0</td>\n",
        "      <td> 9748</td>\n",
        "      <td> 223122310</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td> VIRGINIA BEACH</td>\n",
        "      <td>                              MYTHICS, INC</td>\n",
        "      <td> 443120</td>\n",
        "      <td>     0.0</td>\n",
        "      <td> 9748</td>\n",
        "      <td> 234541347</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>  MISSION VIEJO</td>\n",
        "      <td>                           KATEK SOLUTIONS</td>\n",
        "      <td> 811212</td>\n",
        "      <td>     0.0</td>\n",
        "      <td> 9748</td>\n",
        "      <td> 926911913</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 78,
       "text": [
        "             city                                  institute   naics obligation  \\\n",
        "0       ARLINGTON                      FAX PLUS INCORPORATED  423420    -4800.0   \n",
        "1       ARLINGTON                      FAX PLUS INCORPORATED  423420        0.0   \n",
        "2      ALEXANDRIA  LOCKHEED MARTIN INTEGRATED TECHNOLOGY LLC  541519        0.0   \n",
        "3  VIRGINIA BEACH                               MYTHICS, INC  443120        0.0   \n",
        "4   MISSION VIEJO                            KATEK SOLUTIONS  811212        0.0   \n",
        "\n",
        "  subagency    zipcode  \n",
        "0      9748  222092200  \n",
        "1      9748  222092200  \n",
        "2      9748  223122310  \n",
        "3      9748  234541347  \n",
        "4      9748  926911913  "
       ]
      }
     ],
     "prompt_number": 78
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "And ipython/pandas even surprises me by sexily printing a formatted table to the console.  Awesome.\n",
      "\n",
      "I built the converter (ipython terminal output printed above) by manually checking out this [memo from the Office of the Undersecretary of Defense](http://www.acq.osd.mil/dpap/policy/policyvault/USA002777-08-DPAP.pdf) and typing them out.  Here "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "converter = { '97AK':'Def Infrmn Sys Agcy (DISA)', '9763':'Def Contract Mgmt Actvty (DCMA)', '97AZ':'Def Commissary Agcy (DeCA)', '97ZS':'US Spec Op Cmd (USSOCOM)', '9776':'US Trnsprttn Cmd (USTRANSCOM)', '97JC':'Mssl Def Agcy (MDA)' }"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 79
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "converter['9760']='Tricare Mgmt Actvty (TMA)'\n",
      "converter['97F5']='Washington Hdqrtrs Srvcs'\n",
      "converter['97F2']='Dprtmnt of Def Ed Actvty (DODEA)'\n",
      "converter['9761']='Defense Threat Reduction Agency (DTRA)'\n",
      "converter['97F1']='Defense Media Center (DMC)'\n",
      "converter['97BZ']='Defense Finance and Acctng Srvc (DFAS)'\n",
      "converter['97AE']='Defense Advncd Rsrch Prjcts Agcy (DARPA)'\n",
      "converter['97AT']='Dfns Scrty Coop Agency (DSCA)'\n",
      "converter['9771']='Dfns Microelectronics Actvty (DMEA)'\n",
      "converter['9748']='9748'\n",
      "converter['97AV']='Dfns Scrty Srvc'\n",
      "conv_dict"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 91,
       "text": [
        "{'ComponentName': ['Dprtmnt of Def Ed Actvty (DODEA)',\n",
        "  'Def Commissary Agcy (DeCA)',\n",
        "  'Defense Media Center (DMC)',\n",
        "  'Washington Hdqrtrs Srvcs',\n",
        "  'Dfns Microelectronics Actvty (DMEA)',\n",
        "  'Dfns Scrty Srvc',\n",
        "  'US Spec Op Cmd (USSOCOM)',\n",
        "  'Def Infrmn Sys Agcy (DISA)',\n",
        "  'Def Contract Mgmt Actvty (DCMA)',\n",
        "  'Tricare Mgmt Actvty (TMA)',\n",
        "  'Defense Threat Reduction Agency (DTRA)',\n",
        "  '9748',\n",
        "  'Dfns Scrty Coop Agency (DSCA)',\n",
        "  'US Trnsprttn Cmd (USTRANSCOM)',\n",
        "  'Defense Finance and Acctng Srvc (DFAS)',\n",
        "  'Mssl Def Agcy (MDA)',\n",
        "  'Defense Advncd Rsrch Prjcts Agcy (DARPA)'],\n",
        " 'DoDCode': ['97F2',\n",
        "  '97AZ',\n",
        "  '97F1',\n",
        "  '97F5',\n",
        "  '9771',\n",
        "  '97AV',\n",
        "  '97ZS',\n",
        "  '97AK',\n",
        "  '9763',\n",
        "  '9760',\n",
        "  '9761',\n",
        "  '9748',\n",
        "  '97AT',\n",
        "  '9776',\n",
        "  '97BZ',\n",
        "  '97JC',\n",
        "  '97AE']}"
       ]
      }
     ],
     "prompt_number": 91
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "conv_dict = { 'DoDCode' : converter.keys(), 'ComponentName' : converter.values() }"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 92
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "conv_df = DataFrame( conv_dict )"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 93
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "conv_df"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>ComponentName</th>\n",
        "      <th>DoDCode</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0 </th>\n",
        "      <td>         Dprtmnt of Def Ed Actvty (DODEA)</td>\n",
        "      <td> 97F2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1 </th>\n",
        "      <td>               Def Commissary Agcy (DeCA)</td>\n",
        "      <td> 97AZ</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2 </th>\n",
        "      <td>               Defense Media Center (DMC)</td>\n",
        "      <td> 97F1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3 </th>\n",
        "      <td>                 Washington Hdqrtrs Srvcs</td>\n",
        "      <td> 97F5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4 </th>\n",
        "      <td>      Dfns Microelectronics Actvty (DMEA)</td>\n",
        "      <td> 9771</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5 </th>\n",
        "      <td>                          Dfns Scrty Srvc</td>\n",
        "      <td> 97AV</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6 </th>\n",
        "      <td>                 US Spec Op Cmd (USSOCOM)</td>\n",
        "      <td> 97ZS</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7 </th>\n",
        "      <td>               Def Infrmn Sys Agcy (DISA)</td>\n",
        "      <td> 97AK</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8 </th>\n",
        "      <td>          Def Contract Mgmt Actvty (DCMA)</td>\n",
        "      <td> 9763</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9 </th>\n",
        "      <td>                Tricare Mgmt Actvty (TMA)</td>\n",
        "      <td> 9760</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10</th>\n",
        "      <td>   Defense Threat Reduction Agency (DTRA)</td>\n",
        "      <td> 9761</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11</th>\n",
        "      <td>                                     9748</td>\n",
        "      <td> 9748</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>12</th>\n",
        "      <td>            Dfns Scrty Coop Agency (DSCA)</td>\n",
        "      <td> 97AT</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>13</th>\n",
        "      <td>            US Trnsprttn Cmd (USTRANSCOM)</td>\n",
        "      <td> 9776</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>14</th>\n",
        "      <td>   Defense Finance and Acctng Srvc (DFAS)</td>\n",
        "      <td> 97BZ</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>15</th>\n",
        "      <td>                      Mssl Def Agcy (MDA)</td>\n",
        "      <td> 97JC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>16</th>\n",
        "      <td> Defense Advncd Rsrch Prjcts Agcy (DARPA)</td>\n",
        "      <td> 97AE</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 94,
       "text": [
        "                               ComponentName DoDCode\n",
        "0           Dprtmnt of Def Ed Actvty (DODEA)    97F2\n",
        "1                 Def Commissary Agcy (DeCA)    97AZ\n",
        "2                 Defense Media Center (DMC)    97F1\n",
        "3                   Washington Hdqrtrs Srvcs    97F5\n",
        "4        Dfns Microelectronics Actvty (DMEA)    9771\n",
        "5                            Dfns Scrty Srvc    97AV\n",
        "6                   US Spec Op Cmd (USSOCOM)    97ZS\n",
        "7                 Def Infrmn Sys Agcy (DISA)    97AK\n",
        "8            Def Contract Mgmt Actvty (DCMA)    9763\n",
        "9                  Tricare Mgmt Actvty (TMA)    9760\n",
        "10    Defense Threat Reduction Agency (DTRA)    9761\n",
        "11                                      9748    9748\n",
        "12             Dfns Scrty Coop Agency (DSCA)    97AT\n",
        "13             US Trnsprttn Cmd (USTRANSCOM)    9776\n",
        "14    Defense Finance and Acctng Srvc (DFAS)    97BZ\n",
        "15                       Mssl Def Agcy (MDA)    97JC\n",
        "16  Defense Advncd Rsrch Prjcts Agcy (DARPA)    97AE"
       ]
      }
     ],
     "prompt_number": 94
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Soon I will write it so the dataframe with contracts as rows does not have the code, but instead the component name, but I haven't worked it out yet.\n",
      "\n",
      "As a final example to show the direction I want to go with this data, we will visualize the number of contracts per DoD Component.  I followed the source code for [this exemplary `matplotlib.pyplots.barh` plot on matplotlib doc's gallery](http://matplotlib.org/examples/pylab_examples/barchart_demo2.html).  Before we do that we have to actually get a count of the number of contracts for each "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = contracts_df"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 96
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import collections"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 99
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "subag_col = collections.Counter( df['subagency'])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 100
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "subag_col.most_common()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 101,
       "text": [
        "[('97AK', 15355),\n",
        " ('9763', 8182),\n",
        " ('97AZ', 7276),\n",
        " ('97ZS', 4229),\n",
        " ('9776', 2836),\n",
        " ('97JC', 2101),\n",
        " ('9760', 1593),\n",
        " ('97F5', 1463),\n",
        " ('97F2', 1387),\n",
        " ('9761', 878),\n",
        " ('97F1', 650),\n",
        " ('97BZ', 580),\n",
        " ('97AE', 509),\n",
        " ('97AT', 377),\n",
        " ('9771', 316),\n",
        " ('9748', 221),\n",
        " ('97AV', 180)]"
       ]
      }
     ],
     "prompt_number": 101
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The collections.Counter has allowed us to tally the total number of contracts by DoD subagency.  Now let's put those tuples into appropriate arrays and plot."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "cc = subag_col.most_common()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 102
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "subag_code = array( [ el[0] for el in cc ] )\n",
      "subag_counts = array( [ el[1] for el in cc] )"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 103
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fig = figure( figsize=(10,8) )\n",
      "ax1 = fig.add_subplot(111)\n",
      "plt.subplots_adjust( left=0.2115, right=0.9 )\n",
      "pos = np.arange( len(conv_df) ) + 0.5 #center bars on ticks\n",
      "co = subag_counts[::-1] # reverse order so largest on top\n",
      "rects = ax1.barh(pos, co, align='center', height=0.5, color='m')\n",
      "ax1.axis([0, 16000, 0, 17])\n",
      "ax1.set_title( 'Contracts by DoD subagency' )\n",
      "ax1.xaxis.grid()\n",
      "yticks(pos, [ converter[code] for code in subag_code[::-1] ] ) # reverse order in accordance\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 113,
       "text": [
        "([<matplotlib.axis.YTick at 0x499955d0>,\n",
        "  <matplotlib.axis.YTick at 0x4998a390>,\n",
        "  <matplotlib.axis.YTick at 0x49991450>,\n",
        "  <matplotlib.axis.YTick at 0x49991e90>,\n",
        "  <matplotlib.axis.YTick at 0x49991ed0>,\n",
        "  <matplotlib.axis.YTick at 0x4999d490>,\n",
        "  <matplotlib.axis.YTick at 0x499ed1d0>,\n",
        "  <matplotlib.axis.YTick at 0x499ed0d0>,\n",
        "  <matplotlib.axis.YTick at 0x49836610>,\n",
        "  <matplotlib.axis.YTick at 0x49836e50>,\n",
        "  <matplotlib.axis.YTick at 0x49966150>,\n",
        "  <matplotlib.axis.YTick at 0x49966710>,\n",
        "  <matplotlib.axis.YTick at 0x499e6a50>,\n",
        "  <matplotlib.axis.YTick at 0x499e63d0>,\n",
        "  <matplotlib.axis.YTick at 0x4996fc10>,\n",
        "  <matplotlib.axis.YTick at 0x4996f6d0>,\n",
        "  <matplotlib.axis.YTick at 0x4997ba90>],\n",
        " <a list of 17 Text yticklabel objects>)"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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lBSsrK9avX0/37t3p0aMHCxYsUM957do1AgICGD58OBkZGaxfv54TJ07o9SM9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\nRK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x49832490>"
       ]
      }
     ],
     "prompt_number": 113
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "boo yah"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}