{
 "metadata": {
  "name": ""
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Notebook to plot vertical velocity and calculate maximum vertical velocity"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%matplotlib inline\n",
      "from matplotlib import pylab\n",
      "import matplotlib.pyplot as plt\n",
      "import netCDF4 as NC\n",
      "import numpy as np"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fT = NC.Dataset('../../Results/Oct18OneDay/SalishSea_1h_20021018_20021018_grid_T.nc','r')\n",
      "depth = fT.variables['deptht'][:]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fW = NC.Dataset('../../Results/Oct18OneDay/SalishSea_1h_20021018_20021018_grid_W.nc','r')\n",
      "wvel = fW.variables['vovecrtz'][:]\n",
      "mw = wvel == 0\n",
      "wvel_masked = np.ma.array(wvel,mask=mw)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "level = 28\n",
      "print 0.5*(depth[28]+depth[29])\n",
      "plt.figure(figsize=(10,10))\n",
      "plt.subplot(2,2,1)\n",
      "plt.pcolormesh(wvel_masked[15,level,300:370,220:320])\n",
      "plt.colorbar()\n",
      "plt.subplot(2,2,2)\n",
      "plt.pcolormesh(wvel_masked[2,level,300:370,220:320])\n",
      "plt.colorbar()\n",
      "plt.subplot(2,2,3)\n",
      "plt.pcolormesh(wvel_masked[4,level,300:370,220:320])\n",
      "plt.colorbar()\n",
      "plt.subplot(2,2,4)\n",
      "plt.pcolormesh(wvel_masked[21,level,300:370,220:320])\n",
      "plt.colorbar()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "160.101974487\n"
       ]
      },
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 4,
       "text": [
        "<matplotlib.colorbar.Colorbar instance at 0x119f0fb00>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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AxQQXCFQsUP3qnrTxJtTMXN6wt8lw4XlraNsZ1kSJH/uskDJ51m/yH2V/BoA0\nTgDwOvMBv+6IDUFC0khaHRkm9KfJ6V6nnDjT7sj5JcSN2C1iigu+XkmRFnTmDCovL6e01PyiKS0t\n5dlnn41tzRRF6ZneZLB3gfehJ1S/FGUQEqV+VVZWMmPGDKZOncrGjRu7LbNu3TqmTp3K7Nmzqaur\nA+DcuXMUFhYyZ84c8vPzuf/+++3yx48fp7i4mGnTprFo0SLa2qKLexlRI8vj8XDDDTcwd+5c/vM/\n/xOA1tZWvF4vAF6vl9bW1qgqoihKL0nu5culqH4pyiAlCv3y+XysXbuWyspK9u3bx44dO9i/f39Q\nmYqKCg4ePEh9fT2PP/44a9asAeCiiy5i165d7N27l7feeotdu3bx2muvAf5e7gMHDrBw4cKoe7gj\nkt7XXnuNSZMm8ec//5ni4mJmzJgRtN/j8eDxeLo9dsOGDfb7oqIiioqK+lzZoYDnLeAi8z5rmhlv\nbPogx97feamL/xu6iOrqaqqrq6M7iX5VIkL1K7asZhMfYhqoMsQ+i7ft/d/imwNSL6X/iIl+QVQa\ntnv3bnJzc8nJyQFg+fLlPPfcc+Tl5dllAnusCwsLaWtrs39gpaaa4dX29nZ8Ph/jxo2zj3nppZcA\n08tdVFQUVUMrolucNMmYji655BJuvvlmdu/ejdfr5ciRI2RkZNDS0kJ6enq3xwaK1FDhWI1leD9l\nbZhgLS+xhiROG8FurzferPfOW2Z3d/hqB4zzPzDLv8dMgb6JXwLQSDbg95u0WIZf+Qfh9J2IpyF0\naIZgj4PToyXnlfMELu3UGkUE/cN+8MEHI77PgIooEaD6FYykd5L0LKNtIfP7esTnI/5F8etoaIf4\nkWe1TV/O/hjg15dqFgB+XUmz8riJ3kjohnbbRzcs6HgJ9XDW+ps6SXHoneiZHCf+vDTa+Be+Yw4q\nioF+mYv2mebmZrKzs+31rKwsamtrw5ZpamrC6/Xi8/m4+uqree+991izZg35+flA7Hu5ww4Xnjlz\nhlOnzIP20Ucf8Zvf/IZZs2ZRUlLCtm3bANi2bRvLli2LqiKKovQSHS4Mi+qXogxietCr6v+FDT/1\nv5yE6n124vRjynHDhg1j7969NDU18fLLL3fbM9dTL3ekhJXe1tZWbr75ZgAuXLjAHXfcwaJFi5g7\ndy633XYbTzzxhD0Feqji2WOWSZkfWVtGxe9a/2yWnQ/F7RLKUMGlDafeoPoFC6gEoM3uSo9vhPds\na9p1I7lmgfqjAAAgAElEQVRxvY4yBOhBw4rmmpfw4Pbg/ZmZmTQ2+sMjNTY2kpWV1WOZpqYmMjOD\nQy+NHTuWG2+8kTfffJOioqKIe7kjJaxMX3bZZezdu7fL9vHjx1NVVRXVxRMWue3pwZtT0swv5vTL\nTYRe6b798PVLTYFXCVo2/coSoSus7UUxr6mrGJFqfrHIhPRtVkRlGS6UIQ9ZDxXZOFwEd2e3uuAM\nAREuonzU6HBhWFS/utJwMgeACReb4aADAUI2hfcAv3a9wnUA7D9shlLGTjThBM6eNsOKV49/E4Ba\nCgF41ymKSuT8q9Gv66zV6/5selBeucRskVAbbzML8A/zCadOmhAxYy42/4f8keKDdUuG/9qtxvZI\na/hY/uYyRJyOGSY7HevQM4FEoWFz586lvr6ehoYGJk+ezM6dO9mxY0dQmZKSEjZv3szy5cupqakh\nLS0Nr9fL0aNHSU5OJi0tjbNnz/Liiy/ywAMP2Mds27aN9evXx6SXW38LK0qiok+voiiJTBQalpyc\nzObNm1m8eDE+n4+VK1eSl5fHli1bAFi9ejVLly6loqKC3NxcRo0axdatWwFoaWmhtLSUjo4OOjo6\nuPPOO1m4cCEA9913X0x7uVWmFSVR0adXUZREJkoNW7JkCUuWLAnatnr16qD1zZs3dzlu1qxZ7Nmz\np9tzxrqXW2V6kOL5jVl2LorR+d73m/86L4/OyNcbRhz3R70/P/7iqM+3y4p6vMuacfNvnuCky52d\nD0R9jYRBn15lEJOPCfy4j4KozzWZQ/b7w1wW9fkixZ+CyNDAjBAlI2cTphEgw7Tf33ePva8zP+rT\nJxYu0DAX3GIM+KFZdNxgGd4/bm3PsJZNZtHebBoRTROtxoR8upLN4GprKR4sCSR7zlrWW8vPR19l\nBUrZCcD3eRmAQsz0XpmyLkZg5/R0WRfvgiBT3yUkg0x3F6+DTHt3hoRoI41y/iEm9xSEerKUCBCf\n1V7mAJA62nzPm96fYpbJOXbZNyYap/HpNuPDGW35TBdNfgGABewCoG28eXY2/sL6UfN/rRNcYxZ5\nD9XF+C5ciBUSaD53APAC5he36JPoj+iY+OTEkyXbJRSD6Juk53nvsPEEF002f1MJDZFuebnEc5pG\nG3fwsxjfnIULNEwbWYqSqOjTqyhKIuMCDYs4d6GiKIOMGMTJ6mvur8bGRhYsWMDMmTO54oorePTR\nR2N6a4qiuAAXxPlL4KrHH8+Bga6B8SCdD4hr80mru341mwDs9BbS1fsK19plDzLTjlkDU3p13bmY\nPE6BYQhq7cnFfsSzcFYiRZ8xy+xUiU3iv67nAIzOOmqvn0oNn9X9R1ZXuUxbLglTvpCXeaPVjMt2\nfGTq8rHLw14mMYmyq11yf1VVVZGZmcm8efMoKSkJSksRmPurtraWNWvWUFNTw/Dhw3nkkUeYM2cO\np0+f5uqrr6a4uDjoWGVgkfhYvXvy40CtBwKfwUs6qbUCPE7pHA1AnTWUWcGNdrFHuI8SnrbWAgIm\nRcAd/AiAffhNTnW2z6NruaMYLfJaYQv8VoHCoPKpJ0+QdrE/YXAk/jD5O0hohIU9lB3W+hEdzcaW\nMuWqdwD457BXSGB0uFABbA9W3qeCfQbizUm7UsayzQMqDZ/q333SFBTvpDOtjuiGxOyz/hrLFj0J\nwDpi2DvwaoDZvR8bHe1Nlj/toticT3KktVqf8dWdX7X3hYpLtftx0zhM+z/m7yRehYkOr8I4q6Eq\ngiuehBTLA5EakFLkGZazmHLA78WSuDMSh+swk/pyi5ET5dMbTe6vjIwMMjKMKXH06NHk5eVx+PBh\nbWQNQuT7Pp/XAWggB4CxWUavZqX48w7OxcS9ejvV/Kj57U7T6PnNSPPz5jdnrZ85r1kHnLWW/2It\n/9csFmM8XI/U3h+Te2g5ENCYmRaTU0ZEY6s/JcuIke0xOWchuwEYw2kA0vM/AOBo64Ruy+/kdsAf\nh28C5odqIyb+4v/umWcKWv9nPhxttr9RYup7q+WnEj26mjfYSSnzLS+WIHG3pJx4twDrp24ccEEL\nRIcLFSVRiXK4sLu8Xs3NzWHLNDU1BZVpaGigrq6OwsLgX/2Koig9osOFymDD899m+X8+E75sWvsR\nxqR03e75HaRfb349Se/PmIAkse9yZbfnm8trdq9OGiesrX2fc+zZg3+GJdB5PTzMOgDuPWB68Z7o\nx1+tveEGnu9VT/e1vAjAKxTHrA6dYbKjVL8K1a+F3h9t7i+A06dPc+utt7Jp0yZGjx4d0fkUd/M9\nVkU0+OfxnOWmzq7bc3nHtkeIHp3C/917m3ndnu8OftRlZnG0/wCzOUjbGf8QxanUifaz/ur7NwBQ\nNAjtCkv5BTAu4vLx0C8Ir2FDAW1k9UDSWJOrsGOiGSPPsWK1XEYD4E8hEZilHOAGfgvAwutNQLP3\nrjfjgbusvDl/+p0Va8WyS41cZhos/3zxtwBYQDUA9/BdAHZfZXmh/CNj9tDUtbwC+Ies5Bpt7ebB\nb7rUGosUi9RvI7p13uDvgtbn0v1/68m0APAhJr/T0VOmy/u9c8YJknWluUkZapPP6k97Ios3s3K8\nlRnUmkGcer05Tz77rOsftsvKlObk4abhOP9yM2TxxmeNpL9rjTOU8EvAP7U5cBjwazxqeygu2M2o\n4Oz2gqSrkJANkpai7aT57H0XTPmPjQ/ODB8rfGGe3muLzEv45v8XvD/a3F9//etfueWWW/jsZz+r\nCZYHIbdbIUzW7DNRrifMML2UxxommwLJ1vD6pf5jxJMkQ4unbjehHHZ/09KgxxwXudtaWl+bzywy\nHqelPA/ADwr/XwC2cxcAd2Ce55ROM6y80xqSEi197J6vmRM9YsYhf+kxzzmmvcKUF9/p+aYtfsrn\ngtbFe+VENEOQof5TViqZyd4We588/zKs5gzVEgqxNmRbIlzLxwB/nKzz7VY6m3GmAXjW0i/RJ/lB\nK3USn9m+VrP82FUmRA1XGd+sxCcTO4vo3l4rXtkca79oqAwPyv8UKXcY8z3JCYhRFmvCadhQQIcL\nFSVB8SX37uUkMPdXe3s7O3fupKQkeGpBSUkJ27ebzKyBub86OztZuXIl+fn5fOUrX+mP21UUZYgR\njX4lCglcdUVxNxeG9fY3UkfQWjS5v1577TV+8pOfcOWVV1JQYH75fvvb3+aTn/xk1PelKIo76J2G\ndYQvMgjRRlY3SOiGpLEDWw+38VNuBauLeqgiU9JjEQHel9zbx7fr7Ki+5v665ppr6OhITNEb6sy3\nwrzcNcD1cCPDWj9ivnegaxE/Yu3N6p2GxWZ2Z3/j6XS6WmN5co+ni2k2EZBGlsR0mpxqfD/iuZIw\nAjI2Lv6DOzCudPEXSPmPt+wFYP6k3wHw+40m755lT4Cvm8W/3W5MV7+0okHtPW5ix6SNN+fxdfg9\nQbOSTB0k/ICEjWjoyAHg2JPGN8Mb1gFy6CxraRkOR9/Uu7hVoZCHT+ohiKFevA/HmGBVx/gOJNWN\nTDOW8uJHk89QvBLiFRF/hPgUwO+hEsNp3uXmcxefydXWhxEYO6eCT4W8J/lnJd4GMdnKtWUp15VY\nYVIn8VRMxP8ZC85GVm+fFY/Hw/HOkRGXBxjvOZuQz+NAkaj6Jd/bm3kGgP/GzJLZe9j0OEqqnNNl\n1vM+yn/stPVvAf7v9nsVM82OMqvAKw9ab64yizE3meXfm8Ut/21E7edvmUn/f3ulqUuuZUA9ZIWP\nkGdl30nzLJ49YpmwrRAQSH5e67zWYXa4gw8/MD/Gplz6rl33g8ykr3zR0hvRGQnj0hYQd0c8lxfs\n5z/ZWpr11lbjSxVPaHuNCV9TtNR4PCXEj9dKWyOxwY5Z1xLdEL0Qk758Vm8eNt7SKZMl9mHP9yze\n0jQ7NM2EoOuLrgXGYQy8H9FiWf8A/yxjZyOrL89KbzUsUfVLe7IUJUFxGvEVRVESCTdomDayFCVB\nueACgVIUZejiBg3TRlYA0s0OCwa0HooSCZFOIVfcwc08ab0bwqYgZUjhBg0b+nfYF05bi6NmPP5Y\nlhm7bjxtxqQLLzY+opdPXg9A1cVFAPydFUsqx4qj9QP+EYD8SXsAf0ynHetvBmDr+hWAf2xc4pMs\nsBp708cbv0F5u/E9/OVghl3Ffflm3P/USTOOf/6s8Qt0yFxXGbaXINwSd07+4s4UP1EiY/QF1AB+\nz5XTvyTbZSk+BPEnSCqbVwPidGUERCxdYMV2qf7A+K6yLm2w94k37tLLTTyaE9ZNiregkWx2Uhrx\nPZ210+WYzzYlhPFS4mXJdcQn51yPtaC4oatd6T2iH29gcniKHo2cbGJPXYeJq3Tqm+bZ+/7j99jH\nHvi+CURc9AXj59mxdDkAX15qggPvazeTIm5IMQH3fr7HOnCHWUhspUlXmthK8mw8c8Zonje11dpu\nnnPRLfG/nj5o+cSsR350kdmemmo9Q5YvdaTlK4tVT8j3MJ/BCn4Q8ryiB04Pk9xjttfojqS9Wbz0\nBbvMl9liv7/VMuPu7zB+tJykhqDjRCfEH3a6w/J4ZhzlaFImROg9E90RjZU4WE7dEJ0KjBcYiOie\n+NRiiRs0TBtZipKguEGgFEUZurhBw7SRpfSIFzObR6ISA7SlZIQqrvQjbhAoRYkGmWEnM+sgdNod\npf9xg4ZpIyuA1y0v1pgZVretlRbl2B+tcAhWsvrHLjGpH2ZdbzbcPvK/AFh91t8l/ABlgBnu22dv\nLbCWJrP9cmttHQ+b81kXkG7+l7k2uIL+9IJ8+JaVC2O0NaX1gpVPLtlaX2wVlBmyF1mrGSZFg3TT\nj0kNOGkMuoNliE5SSBxznFOmE8sy1dGlbU9XDshudmPA8buwgl1at59rDbUCtFhDFdOsz310wAe2\nhS/3+l7q+DjgHwKV/GgjrO7zUMOHst+5PEVsE3W5wTSqRM4zlqL8AGNDkO/nPkwKGwkNUGXlqBH7\nQudpfy7Kdff4cy89ytfAet5el432by0TokEiOcy9ylglZOis5f0cAM5kGQE6fcQ0ckbkmOd1ZJIZ\nupzoNWFO7PA01vDg6TlGD4YlXwjan5ZkdGPYxWa4cUSMYydJypxxgUlVLZwhD+RexeIgz6OEsXkz\nRIbGn8lnZ8XhXGDpvoS5kb+LXI+kAN3rBRKeZjHlAAH5HoND0jiHCeU+Rjj2jwjQ2ljhBg3TRpai\nJChuMI0qijJ0cYOGDf07VJQhihu62hVFGbq4QcO0kaXY5FPXJaoxjiz1oVjF96x3C2NfMaVb3CBQ\nihIpC6jskn1hTE8HBPBV/t16F+kRSixwg4ZpI6sbTv/M8hHJkLoMz1tZBf5m/h8B+Bm3muXZW3mB\nEh7o4/WM98HPDZa3qIHLAHg3ZRoAf7kkIP7N/4oHy1qOtrZPtNYvMd6sFGuq86TxZpxf/ANto4PD\nG8iUaicyDfjqlDcCtoZORZPLe0Hr8hCJD0C6h2U69AlHLAnxCWxlhd+70AOB06nF07CXAqqCnFzR\n4Zyy7XQmjLS8GRccYSoEZxiLWOEGP4PSe77JNwBYjAkhIA0O+R6LN+ctK8dWzj37aWAGAI/28Zpv\nBIRcASi/3JhCv2XlDNubZtXhnKnDhWTz3f3LURNbRlL9jLjIPF3DJlp+p2TzLE1IOhZ0fvFoDUsy\n+yV1lpNWyx91hsjSt4geiq8q0Jsl2jnS4WGSY8ZYsX/Eu3melIhCxki6nUbLaNqK1/YHxwK/xgd7\nyJw6dT5EiIfUOOqMGzRMG1mKkqC4wc+gKMrQxQ0alhRJIZ/PR0FBATfdZIJiHj9+nOLiYqZNm8ai\nRYtoa+s6E0NR4kk+deRTF3L/7Wzjdrb1Y436Hx/DevVyM6phymBjBT+wg586CadvQ4Vo9auyspIZ\nM2YwdepUNm7c2G2ZdevWMXXqVGbPnk1dnf8z/dznPofX62XWrFlB5Tds2EBWVhYFBQUUFBRQWVkZ\n1T1G1IzctGkT+fn5nDpluh3LysooLi7m3nvvZePGjZSVlVFWVhbmLAmEFfGdc9bSGor7myvNMGEB\newF4puXT/mMmxS47+BZMVOXDTALgw5PWMGGbf6q11fPrj9w+miDGZpku6LQU88/DH9XXTJ0ek+QP\nbyChCgD7wR5jDYpJl/KYwPgR3fAhJgP9esz34LfWNHF5OJxeCf8QWvBXsJ0UyvmHHq8VSBon7Pfn\nLT+ZTIGOFfus0Bu5vAP4hwcFZyTlZLofeo1117jbG069wU0a1vI7YzM4eP0UwP+M5VppICS7ws08\nG3DUfTGtw0/5DAAN5AAwzBr2az9nntGRo80zNHaieX5lWFDwpnwI+G0GggzJpST5twfGvbqDHwF+\nG4I8m62WPoVCdOluHgHgYb4KBIegmYAZspRwMzL8luYI95BGW69CxsjfR3RrH/kRHxsJYruQz0Ys\nGVJ/sVkcs2KJiebLfTmzdMSSaDTM5/Oxdu1aqqqqyMzMZN68eZSUlJCXl2eXqaio4ODBg9TX11Nb\nW8uaNWuoqTEheVasWMGXvvQl7rrrrqDzejwe7rnnHu655x5iQdierKamJioqKli1ahWdnaYhUV5e\nTmmpGWsuLS3l2Wef7ekUiqLEAe3JigzVMEUZnESjX7t37yY3N5ecnByGDx/O8uXLee6554LKBD7n\nhYWFtLW1ceTIEQCuvfZaxo0b1+W8gK0TsSBsI+vuu+/m4YcfJinJX7S1tRWv1/SueL1eWlu7Nx0q\nihI/LjCsVy+3ohqmKIOTaPSrubmZ7Oxsez0rK4vm5uZel+mOxx57jNmzZ7Ny5cqorQQ9NrJ+9atf\nkZ6eTkFBQciWncfjwePxdLsv0ehpjFzx80W+yxf57kBXI6G5lhe5lhejOoeP5F693IibNGwTq9lk\nWQ2U0Cyg0k63o/SNG3jefkVDNPoV6TPrfO7DHbdmzRoOHTrE3r17mTRpEv/0T/8U+Q11Q4/K+/rr\nr1NeXk5FRQXnzp3j5MmT3HnnnXi9Xo4cOUJGRgYtLS2kp4ce796wYYP9vqioiKKioqgq3B987Asm\nS71kQZe0AlOs8ARzLE8W9QEHTYrd9cusYBC7MPWYc7F1vav8qX8knYUTp1lyWIB/KJKcXXKvznH7\n98gFoJDabo/z+6jMcro1BVp8DOKXetuaNi5eB9l+gjReoThs/QTxSRVanxH4p1ufJbVXvq5IOchM\nAGbxB8DvJ5B7cKbXcHZxi1CcYSRt1f/DX6r/hw281uf6uHkIMFKi1bBE1K+8640GXEYD4H8GxfMT\nqc8yGiR0gaSkkjQ4IOEeLu72OEkBI76nwO94LdeFva7olmhBqGfRyfcQ/41Zft3SLwnTA/4wEB/a\nYSGMl6ktIAxNJCEbhK38I+CP0SW+MC+tAfWJHT/lcwDcyk+tLeYzdn7W/nA73X9mpxjDieq3OFFt\n0gFtsPSwL/T0d3mr+gRvV58IuT8zM5PGxkZ7vbGxkaysrB7LNDU1kZmZ2WOdArVg1apV9mSZvtJj\nI+uhhx7ioYceAuCll17iO9/5Dv/1X//Fvffey7Zt21i/fj3btm1j2bJlIc8RKFKKohjSimaTVjSb\nDVbD8sEHH+z1ObSRFZ5oNUz1S1G6Mq7oSsYVXQnABm7sk35Bzxo2s2giM4v8Ew92PHgoaP/cuXOp\nr6+noaGByZMns3PnTnbs2BFUpqSkhM2bN7N8+XJqampIS0uzbQKhaGlpYdIk02vyzDPPdJl92Ft6\nNYYg3Wz33Xcft912G0888QQ5OTk89dRTUVVCUZTe42afVV9RDVOUwUM0GpacnMzmzZtZvHgxPp+P\nlStXkpeXx5YtWwBYvXo1S5cupaKigtzcXEaNGsXWrVvt4z/96U/z0ksvcezYMbKzs/nmN7/JihUr\nWL9+PXv37sXj8XDZZZfZ5+tzPSMt+IlPfIJPfOITAIwfP56qqqqoLjzUkGE6GcZSlHjjVp9VX1EN\nC40MgUdiKVCUWBGthi1ZsoQlS5YEbVu9OtiXuHnz5m6PdfZ6Cdu3b4+qTk5UpQOQrsulVAD+9Ai/\npATwj71LuSevM0MMksYi1kTiQXAijTzxQkBwHKxwONNjCHK+Q1bcm3BcaqWK+Jpj+2o2AdCGmTqb\nyllesD7fvtCXzyha5B+RfCbixRI/iFM4xAMzoktCnuiIxXBhZWUlX/nKV/D5fKxatYr169d3KbNu\n3Tp+/etfk5qayo9//GMKCsx37HOf+xzPP/886enpvP3221HXRYkNX+U7gN9Pedry3EiKGYl/9EuM\n1ySePaK90R7A1oJAQ3VvUmSJz8mJ+JBSHSlxQiH61Z0z6m4rFqDElQJ4huUR19HJd/iXPh/bFyRu\n1lJ+EbRdPHriMfX7co1+RfrZ9QY3WB4iiviuKMrgI9o4WRLMr7Kykn379rFjxw72798fVCYwmN/j\njz/OmjVr7H0rVqyIOhqyoijuxQ1x/rQnC/9Q39ww5RRlMBFtD0RgMD/ADuYXGDE5VDC/jIwMrr32\nWhoaGqKqgxI9D1rR2tPClFOUwYYbfKXayApAukulG1imPB+oNbMori400+0l4/srXAtAiTXt2DA4\nPFm97abvr/P1Jt3EYEc+Ewkj4U8/EZyuwpmOot3qjo+WaP0M3QXqq62tDVumubmZjIyMqK6txA9J\ncZWOSU3zAyt21nxeB+BKzNDuCywGoCAo7Mvg8GT1ZogwEmSILBY8EuMURANFBZ8C/Ol2RK8mWiE/\nzlohKw4zGfDr2PkY6Re4w1c69O9QUYYo4brQ360+wrvVoSOZxyuYn6IoSiQk8jBgpGgjS1ESlHAC\nlVuUSW6RP/Derx58K2h/vIL5KYqiRIIbGllqfFeUBCVa43tgML/29nZ27txJSUnwTM+SkhJ7SnOk\nwfwURVEiQY3vLkGmND/PUgBK+CUA97/+CADp8z8AYDrvAv40BBLSYTWBwcoeiHt9lcGFhJGYzy7A\nnx5DUgfFK51JtKbReAXzU/oX0aEGK7zK7ewE4B4rv6joWypnAaizfKOSJsZOE6a4Ekm3s46HAf/3\nqdVOjXYUgDGcBqCdETG7thrfFUUZtMTCNBqPYH6KoiiRoMZ3pdfMtRL+hgrqqSixIpG70JXBycSO\nZvv90ST13inxxQ0apo0s4PfbF5g3Vq/5YwdnmDdWbsop898D/FNcD5IbtP4dvgrAPvL7obbKYOV1\nzPdIIsFLKJBsGoPKTbKGD6PFDQKlhOf/HrBCCrxhFj+usaKe55jFontMiJn/5jMA+DrM92ZYkhm+\n3snt/VJPZXDzqJWfYwU/APy2BgnpIP/vJIRRLHCDhmkjS1ESFDf4GRRFGbq4QcO0kaUoCYob/AyK\nogxd3KBhQ/8OeyCt/Yj1LvbRq6/lRQBeoTjm51YUcEdXuxKaWfzBehefKO2SpDnW0dcVRXCDhrm6\nkWVTao0xr7Di/xy0tueYxe8PGK/Nx6aZ9CmSVkCm6stU1ynWgZKGQHEnkm5HvFkjOA90Ta8TLW4Q\nKCUCbnUsf2wtLavVbx63Yp9ZyVlTck4CMCbNeG7q/jzHPlW+dx8AXislj+I+tmI8fUv5BeBPzySh\nHWKVFgzcoWHayFKUBMUNAqUoytDFDRqmjSxFSVDcYBpVFGXo4gYNc2Uja1jrRwCMGRf/a0mXq2Q8\nV5RY4QbTqNKVXN4BsOK1xx/VMCVeuEHDhv4d9sBfXrUM7ybMFX/z8B8Bf/oJSZ+TyhnAn4ZiGOOs\n5QUAJlppB+QLI2lU5HjFnUg8LIkvI54sSbcTLW7oaldCs6/Visv3dbOYdPshAE591ejO6Qbre3bU\nOuCcWbQfvdiUszZP9B6zzzmCdsAfC+mE5cNR3IfE9/uQdMCvY/L/MBa4QcNc3chSlETGDQKlKMrQ\nxQ0apo2sfkK73KNjxHEzI+rCX81D2XFslL2v06WB9t3gZ1AGD4WY2dWSEF3pHRJyI7mbWcYyI9lt\nuEHDXNnIGjHSdImf/aH1j7rI2m51lU/nXcDfynYO+420ukulvHSfynCQdKsq7kZCfKQ4viexGkZ2\ng59B6cp5RgDQUW3p1ySzOHbcpHGaNN4MU0/ON0vRsbYOM/SXkmS+jxOscUTRMYD5vG7OZaWEku9Y\nmw4buo4PrdBE6dbQsehXLEMUuUHDhv4dKsoQxQ1d7YqiDF3coGHayFKUBMUNAqUoytDFDRqmjax+\n5ut8A4Bv8c0BrkliINPVITtkGUmP1H5uhL3tzMXjyLYi8Kdxwt7+dpxSkAwEbhAoZfAhIXB83lFh\nSioAJTxtvcsJWSafOnv2OkADM+yMESOt2e4Ar7MgHlUcMNygYa5sZOVc3ADA/lUmFEPKHGOqTrHS\nn8gY9GnLOyNeKxmTHm1NfnaOJ0u6AfniyH4J9VDA3hjfiXuwG1AN1jLLfKZjM46GOGLgGWN9T5zm\nTvk+RIsbTKNKVyS8QttNxic1LNl8n06dMHolxmrRszGcBmBOktGfOdQBMBETuiHQIyjHtFrT9t9j\nCuD/rjW2hv6xo/SMeN/E3yb/V2KdbivWyP9B+Q7Esr5u0LCkga6Aoih9w0dyr16KoiiDiWj1q7Ky\nkhkzZjB16lQ2btzYbZl169YxdepUZs+eTV1dXdhjjx8/TnFxMdOmTWPRokW0tbVFdY89NrLOnTtH\nYWEhc+bMIT8/n/vvvz8ulVAUpff4GNarlxtRDVOUwUs0+uXz+Vi7di2VlZXs27ePHTt2sH///qAy\nFRUVHDx4kPr6eh5//HHWrFkT9tiysjKKi4s5cOAACxcupKysLKp77LGRddFFF7Fr1y727t3LW2+9\nxa5du3j11VdjXglFcZLNQdtT1RfEN+JkOm/h5QP7BVBAjf1KJLSRFR7VMGWguIHnuYHn+3SsaJOT\nubzGLP5gvwAWUGm/Eo1o9Gv37t3k5uaSk5PD8OHDWb58Oc8991xQmfLyckpLSwEoLCykra2NI0eO\n9Hhs4DGlpaU8++yzUd1j2DGE1FQT66e9vR2fz8e4ceMoLy/npZdesitRVFSUUCKVhvnVOul6k4ZC\nfJWkw5kAACAASURBVAiyXcbOR1ieBfFgidfBGedI1v3pU4xHQrwTANv5PGgg0l5z+KQVk+Wc8buN\nvMKY2MVXF+hvOptiPv9DrTmA//OXv2tjD+b5eDDB+v5IXJkzJPMCJTE7vxv8DLFgqGmYpDvxpZq/\n/6H2HAA6fOIBNTol3/tLrfISA+sz/Lcp5zPl2oel2Oc+ZJmzvXwIQBv+BK8vUIIVOknpBUetNFoS\nX9Hp1Tzt+H8iMcrSrb+BeIH7W7/k/2Lg/7ty/iGm14hGw5qbm8nO9n8mWVlZ1NbWhi3T3NzM4cOH\nQx7b2tqK12u+6F6vl9bWVqIhrCero6ODOXPm4PV6WbBgATNnzox5JRRF6T3qyYoM1TBFGZxEo18e\njyeia3R2dkZUprvzeTyeiK8TirCNrKSkJPbu3UtTUxMvv/wyu3btinklFEXIp4586sIXjBHOLvbA\nbvjBTiyGC+NhHB1sqIYp/cmt/JRb+Wm/XSuQ+exiPrtClB589KRXR6vfoX7Dk/bLSWZmJo2NjfZ6\nY2MjWVlZPZZpamoiKyur2+2ZmZmA+dF15IgJC9TS0kJ6enpU9xjxz9uxY8dy44038uabb9qVyMjI\nCFuJDRs22O+LioooKiqKpr4xQabQzuJtwN8N65zSLHFLDjAdgL3ft/JLZZhF+qfMuLl03wdObdX8\nXtFxuNXkCsn1vgdA9sVmqEP+dhJmI/AXjsTDSvd+aG/rKa6MNLDk73aelJBl+0Jg934VNwbtq66u\nprq6OqrzR+uzEvNnVVUVmZmZzJs3j5KSEvLy8uwygcbR2tpa1qxZQ01NTUTHDjb6omGDUb9eZz7g\n1y8Z4ksaZoVysPRLhqslztLal38IwJnrzPDp12oeMyec7E+rc/Ay8zzl0MDHqWN5vG7CBcjzmWt5\nS2spBOBA+ZUApJeY/x/57AP8fy8ZLmwnhV18MuT5pYElabtila5LCDyfM+duLPQLetawi4sKuLio\nwF4/9OCOoP1z586lvr6ehoYGJk+ezM6dO9mxI7hMSUkJmzdvZvny5dTU1JCWlobX62XChAkhjy0p\nKWHbtm2sX7+ebdu2sWzZsqjuscdG1tGjR0lOTiYtLY2zZ8/y4osv8sADD/SqEoEipSiKwfkP+8EH\nH+z1OaL1ZAWaPwHb/BnYUAplHD106FDYYwcD0WqY6peidCUW+gXRaVhycjKbN29m8eLF+Hw+Vq5c\nSV5eHlu2bAFg9erVLF26lIqKCnJzcxk1ahRbt27t8ViA++67j9tuu40nnniCnJwcnnrqqT7XEcI0\nslpaWigtLaWjo4OOjg7uvPNOFi5cSEFBQUwroShK74nWZxUv4+hgQjVMUQYv0WrYkiVLWLJkSdC2\n1atXB61v3rw54mMBxo8fT1VVVVT1CqTHO5w1axZ79uyJeyX6i8WUW+80avFgw2N6zMnLH9h6JBLR\nDhfG0jg6WBlKGjadt6x3aQNaD6V7JATMlAGuRyLhhtAyrpxytP96M867+HcvAP4xcPHm+FNK5AJw\n4IAZQw9MPdW5FOBSAObznr19qOWW6m/ebZ0GQEezyYuW420A/NPPZfozwD18j6X8wl4/xZgu3oGe\n6MnvEAucPqxYE06gTlXv4VR16EkE0RhH//rXv4Y9VokPH15vdIffGU/WiBTjyRnjbQFgIibVlHiB\nJATAsuuMefh15vMMy+HvHgUCf3wS0xAjbuUVrgXgw9fN3+mK+WYijWjYtSWv2GV/yBcpwfQAt5PS\nqxAJP+OOmNQ3FL3R0r6ijSxFUQYt4QQqtWgeqUX+hNgtD24N2h8v46iiKEokaCNriCAhAXSQcPAg\nfxP/DJbcgatMghKt8T1exlEltvin5E8Y0Hoowcjsvncxve+u+GcaY9wQUNnTGUfDhcfjGRR+DvmH\nfi0vA/C4ZwUAKzv/C4C9zAH8U2ildb0PYxA6dcY0BE43TLTP2aneoahwNrKaPm8aWRO2NANw4YL5\nG0xOabGP2UcBQ5XePisej4e8zq5eo57Y77lqUDyPicJg0S9pZL15/GoA2gsvBiDpVZM6arI1TCgZ\nDuawF/APrU+whg8/DAjX/ihfi3e1hzzORtb/bje9xll3mWHapg9yAMi79G37mKGqYX15VnqrYYmq\nX9r4VpQExQ1d7YqiDF3coGHayFKUBMUNAqUoytDFDRqmjSylX3mYdda7FQNaj6GAG/wMijLYeJ4b\nrHeqYdHiBg1zVSPLznb+W+NpEM+VpFNpCIzRAJxpN2l1JqceNuXyjwbsnRG/irqA/d+3vAmSksqa\n1Zz2n20AfCblvwG/38EwNP0MfcXNSZ/dhIRiYLxZ/P4nJkxMx7smzEmq14RokBA0kl5K/I5p1vdE\nPKdKbPj5o1YIhR9bG+rqAVh6VwUAyZeav8dhJgccpRoWiBs0bOjfoaIMUdzQ1a4oytDFDRqmjSxF\nSVDcIFCKogxd3KBh2shyCZ7vWm/+3r+tc1q3RePCIbvL/Nb+u+gQx9cx9AVKUQA8vzPLlDkn7W3n\nx1/cv5X4iZWG6rML+/e6Qxg3aJgrGlk3YHKUSfqcrOuNx0E8WBJfJs1aCseSTfnDZ0wDYXrqu3Gv\n61BHYpLd9oVtABz4wnQArsWfasLE8PlWv9ct0ZBYYsrQZhpGd8RjlZRj4mN1vDkqqNxc3gBgMiZu\n1utcBkCL9QNH4mcp0fEdvgrAwnXPA/DGP5r4ZatSdgaU+Zf+r1gC4gYNc0UjS1GGIr4L+vgqipK4\nuEHDhvQdeg6fB+BLk8MUdCny+XROHhGyzMSOZvv90aRMO/p0Y0CSosbuUuL8P6ZrfcyOPwPwVmrU\n1VUc+FzwK9DNePkAgC8NcD0GK5LYuqek1gXU2O/r+Dir2QQE61e3iZBvMPqVX+WPSL4vqtoq3eEG\nDRvSjSzhGW4G4GaeAeA6K72OhHA4ikmX02qlnVjMCwCMSzLhBA6n+ltpb/B3/VDj2NN5j1mOOWPC\nUJxuG9ND6dhz+T+bMBgyYpG01Qx5fNH7fbuMpvroHW4QKAX+i7sAKLJ+4BR4zUP05hWFgH8Ysc4K\nD7DM0jmxQbzAYsDYI7bz+X6qdWzpvN4sZ1lDpzIk2p94jlspXYrNYtmLJv7M9pRSu0yJ9b9DiQw3\naJgrGlmKMhS58NehL1CKogxd3KBh2shSlASlw6ePr6IoiYsbNGxI3mFa+xHr3bgBrUeikM1BhnHB\nXm/oZTT7O/gRH1gehwZrRlNj7KqnhMIFXe1uJJd3rHf9O6SfqBRQw8Ezfl/oqdSJvTr+bsp4nfmA\nP27TG7GrntITLtCwIdnIEkaONukm2s6kAXA+1aTPybMsjDk0APA2swB4vcM8aKeSjLil86G9/CFf\n7J9Kx5nTr1oCdIUxvWdN7rk5NDrpVND6GMz6CrYC8B5Tuj3uQeNJ5TOpPwXguodMiIY20uwyX+SH\noD6svuMCgXIz8qy1tqcD0JZinp18sWBfGlzuoDUB5T1rORnjg7yVnw0Zr1Cb9cN5DKcBOMvIHstn\nB/3c+7j92S3HhFsoD2Gaf/C3ZinhfwCeX3cjAG+vm2VvM5/r8ojrrzhwgYYN6UaWogxpLngGugaK\noih9xwUapo0sRUlULoQvoiiKMmhxgYZpIyvBuZYXu2x7ReYYB5BPnfUufBb4fOrsIQhIt7ffx4MR\nHa/0Ey4QKGVok43JvjGC8/a2g8zsUm4Blda7bmLyOZjPLjv6PVZWD4AHuS/ArKAMClygYUOykTU5\nxcRQ+TDZNBBSktoBfwA6GadPt+LITLDSTixLehbwp9tpI40qbuyfSvcXVmy+SYuMX0Nihr2LSW9z\nhuCoodM5AECB1Uhrx/javnPSpJY4u8GaXCDal2EWG2qsmDK10FkI8OUY3oQCuEKg3Mgky0sl/sUx\nKSZY8NtcCcACK17WFKuB8uxxEwew/QqTy2/L4dX2uer4eD/UuP9oet94QCdebuL9Xc2bALx7wejX\nnIuDUwfN4m0AUjD/AyTm2L6TJkbi2TRLv8RaamVWe7OLfoH4Ry+LyZ0ogCs0bEg2shTFFfx1oCug\nKIoSBS7QMG1kDUFyecfurUujzdo6feAqpMQH30BXQFFiTwlPMxIzM7wdSfmlA31DEhdo2JBsZKVa\nD+iUpPcA/xTns9ZQ2DErjU4qZwF/l/Jn+Kl9jgy7cTK4OW3F0rlgxXc5S/dJAiUOVtJqk85G4sEc\nsjq/U2jndRZ0Oc7zulkumG+GKHZtWWI2WOm+PKtMt3p6/gf2Ma0yt1yJLy7oancz8gMpF6NjEmpG\ntk/gGABfGG9SU7192B9aIFFsDnexHfDfWyhk6DQlzQpXYcXFSkk1w4CzLn6bWq4DW8PMUvIbynXe\nOHgNAE/n3gTAbU1PA3D1ZH9krERNnZaQxEnDjh8/zu23386f/vQncnJyeOqpp0hL69pQr6ys5Ctf\n+Qo+n49Vq1axfv16AJ5++mk2bNjAH//4R/7whz9w1VVXAdDQ0EBeXh4zZphYkn/7t3/L97///S7n\nDSQpxvemKEp/caGXr15w/PhxiouLmTZtGosWLaKtrfsfHZWVlcyYMYOpU6eyceNGe/vTTz/NzJkz\nGTZsGHv27On2WEVRXE6c9KusrIzi4mIOHDjAwoULKSsr61LG5/Oxdu1aKisr2bdvHzt27GD//v0A\nzJo1i2eeeYbrrruuy3G5ubnU1dVRV1cXtoEFETSyGhsbWbBgATNnzuSKK67g0UcfBSIXYUVR4kQc\nG1nxFKn+RPVLUQYxcdKv8vJySktN4u7S0lKeffbZLmV2795Nbm4uOTk5DB8+nOXLl/Pcc88BMGPG\nDKZNm9bHmwombCNr+PDhPPLII7zzzjvU1NTwve99j/3790ckwkricTNPcjNPcgPPcwPPD3R1lJ6I\nYyNrMIlUNKh+uYt/56v8O1/lLv6Tu/jPga6OEo446VdrayterxcAr9dLa2trlzLNzc1kZ2fb61lZ\nWTQ3N4c996FDhygoKKCoqIhXX301bPmwnqyMjAwyMsy8/NGjR5OXl0dzczPl5eW89NJLgBHhoqKi\nQSNUMl13Imaar5jAD1mhGT4MiP0E/vQTu7Hn6oZItjD4OOEwhIrPbJjlKBR/moRiSPOaX+w+608v\n3qxQTPi4+dLt5HazvvqYve/zbKfzEllTH1a/E0dPVl9Fqra2Nn6V6gOJqF/iq5QQM5IK5igTAP+z\nLSy2Uuas5gcBWxPDkyVhdQ5bYXTEZybG9xQrfpb40OaPfz1ov98Y3z2S9usN5prr5E62932NR+m0\nV9WHNSD0pGFvV8P/VofcXVxczJEjR7ps/9a3vhW07vF48Hi6Rpbvbls4Jk+eTGNjI+PGjWPPnj0s\nW7aMd955hzFjQucZ7ZXxvaGhgbq6OgoLCyMSYUVR4kiUjayBEKmBRPVLUQYZPWlYXpF5CU8+GLT7\nxRe7BuIWvF4vR44cISMjg5aWFtLT07uUyczMpLHRn9uysbGRrKysHqubkpJCSoqJFXnVVVcxZcoU\n6uvrbWN8d0TcyDp9+jS33HILmzZt6tJqCyXCiYxEUu8uevpQZS6vkR2+mDJYCBdj5p1q2FcdcvdA\niNRA4Tb9kgjpu/jkANek/yighlsGuhJK74hTnKySkhK2bdvG+vXr2bZtG8uWLetSZu7cudTX19PQ\n0MDkyZPZuXMnO3bs6FKus7PTfn/06FHGjRvHsGHDeP/996mvr+fyyy/vsS4RNbL++te/csstt3Dn\nnXfalY1EhAE2bNhgvy8qKqKoqCiSS0bFZRwC/ENp0r0+zupyPmWFPWjF/JI9zCQA7n1/EwDXXO7P\nvD7YacBMJZ3FHwAYYQ2VSjf7eUd3uuz3WZ+JRHiXYUOJ/C5DqB9L8g//VPApGGIRpAeK6upqqqur\noztJuBgzM4rMS/j5g6FKdiFeIjUQJJp+yVBYsuMPPNEaSjvDSADaMNHKZcjtl5iwBPvIj3sdY8V2\nPg/4Qy1IqBnRKX96r2BkSPVDS+NFv37MCgCWUmGd1wyltpPC97gn5vV3KzHRL4hbnKz77ruP2267\njSeeeMIO4QBw+PBhPv/5z/P888+TnJzM5s2bWbx4MT6fj5UrV5KXlwfAM888w7p16zh69Cg33ngj\nBQUF/PrXv+all17igQceYPjw4SQlJbFly5ZuQ0ME4ukMo4CdnZ2UlpYyYcIEHnnkEXv7vffey4QJ\nE1i/fj1lZWW0tbV18TR4PJ4BEdg7+BHgb2RJnJljlqdBGlnSwJhgebeeet+kXAhsZCVKT5azkSV+\nDvFoCW0OUXI2smRdGlkpATnFKiQ4lhJzevuseDwe2NbLZ6s08mscP36c2267jQ8++CAozkygSAH8\n+te/tuPMrFy5kvvvvx8IFqmxY8faItXfJKJ+SS+6/CiUOH7SeJJ0OtLIKsT8ENrLnKBykDg9Wc5G\nljQopZElfjRBGlni5RL9Em2XRlag51QbWfGjL89KrzWsF/o1mAjbk/Xaa6/xk5/8hCuvvJKCApMc\n+Nvf/nbIlqKiKP1EHI3v48ePp6qqa4/u5MmT7QYWwJIlS1iyZEmXcjfffDM333xz/CoYIapfijKI\ncUFA5bCNrGuuuYaOjo5u93Unwoqi9BMuEKhoUf36/9k79/Coymv/f2JCKFE0XMwASTyhJEACCFGQ\nSqvGYkCwpogXUCspguWgliK2QOtpRX8FwvFWBX1q1WqkHsDaKqnGVKIGPVJABapHrFxMNNxiuURA\nMDHD/P7Ye81lJ5PMZGaSmdnr8zzzzOyZd+/97iT7m3fe9X3XUpQoxgYaFpdldXLNJc817pIxRsgr\njS982olfaYfpQ8r9tlHB/RC92U5+h/Q1XPS2LH2WaXbxdcg0urzfgLFCwl2uwgwzOswwo5PEmAk1\n2BYbCJQdkVC9pC2Qe1Xel7QFqRwB4D3OB2C/GTrrzjHKuLbjOhwGRJck5Ywg+iSh0a6mlh+x6Jb4\ncMXuUEsmLzI1wr1WQsYGGhaXgyxFsQU2EChFUeIYG2iYDrIUJVaxgUApihLH2EDDdJClKLFKhHLM\nKIqidAg20LC4HGTJ0menWU7npJlXpjvHASNnCnji+bJsWPYziC1PlngaxJMlqRvE19HNK5XDk9zm\nXjKdxhf8PWaKCCk+RCjHjNK5SAks0SlBPKXiUxIfpni0+pqerVgkFd8C3YP4xOf9t7nI/dmz3MIU\nSt3baygGLo18J5XwYwMNi8tBlqLYAhtMtSuKEsfYQMN0kKUosYoNBEpRlDjGBhoWl4Ost8ypZZlq\nPunO7H7Ip52kdujHfgB6m5nfY5EmM7OxpGyQ8KGTRB7hF83aa4gwDrCBQNkRCY39hnsBeIcxADhN\nue7qVYUBPGkPrCG3WEIsHaLRkuUe4HLeNIvveDBChErMYwMNi8tBlqLYgq87uwOKoighYAMN00GW\nosQqNvgWqChKHGMDDdNBVoyTzUcADOzkfiidgA0ESolvRvMWANmd3A+lk7CBhsXlIEvi+X/hGp/3\nZYmzpDdIsZSgafKq2B5r7GAQuxjCdH4PGGV0nuY/O7lXSkSxQY4ZO7K1cQQAzyXfCHhSNmSZpWME\nKZVlLYkVi+wim01czG+4C4ANjOFeFndyr5SIYwMNi8tBlqLYAhvkmFEUJY6xgYbpIEtRYhUbTLUr\nihLH2EDD4mqQNZG/ApgLnkPjUioAeJPLw3A0RYkANhAoO3EHJearH4d8LKnooKlalKjGBhoWV4Ms\n4btsAGAzowHYRz8AaskEPOV1UjkCwAkzj5bkn5H2scAAdnttDem0fiidgA38DHZkWvJKALZieLO6\nmp6rHQwCvEtl+ZbQyjTLiL1g8aJGM9Jn4YSZL0uxCTbQsLgcZCmKLbCBn0FRlDjGBhqmgyxFiVVs\nMNWuKEocYwMNi6tBlixpPmIueR5jhg3/zngAGugFGKVmwFNuR/aTVA7dOEE5kzuo16Fh9VzINSg2\nwAYCZSck9Ux/M1XD+bwHwDNMB+AgvQFINL/+y7OU0qohC4CRvMdisyRPtPMCN/psJ9lhakPxYAMN\ni6tBlqLYChv4GRRFiWNsoGE6yFKUWEW/9CuKEsvYQMNO6+wOhIOJ/NWdvkFRbENTkI8gOHz4MIWF\nhQwcOJBx48ZRX1/fYruKigoGDx5MTk4Oy5Ytc7//i1/8gtzcXIYPH87kyZP58ssvg7482/CnBOOh\nKHYjQvoVTcTFIEtI4SQpnGQzo9nMaJpIpIlEkmkkmUZSqSeVepJpIJkGTpDCCVLMd1M7u/thYTt5\n7ocS50RwkFVSUkJhYSE7duxg7NixlJSUNGvjdDq5/fbbqaioYPv27axatYqPP/4YgHHjxvHRRx/x\nz3/+k4EDB7J06dJ2X6Zd2MAYNjDGrUu9OURvDrGLbHaRjZNEnCS6dSzRfEfYxQD3I1apJdP9UGyA\nDrIURYlavgnyEQRlZWUUFxcDUFxczEsvvdSszebNm8nOziYrK4suXbowdepU1q5dC0BhYSGnnWbI\ny+jRo9mzZ087LlBRlLgmQvoV6kz8r3/9a4YPH86IESMYO3YstbWefG5Lly4lJyeHwYMH89prr7XZ\nFx1kKUqs4gzyEQR1dXU4HA4AHA4HdXXNiw/v3buXzEzPjENGRgZ79+5t1u6Pf/wjEydODK4DiqLE\nPxHSr1Bn4ufPn88///lPtm3bxqRJk7jnnnsA2L59O2vWrGH79u1UVFRw6623curUqVb7EhfGd0m3\nMIf7AMhlOwBvczGAO3Qm2YUbSQbgoJnSoT81gJHSIdbL6FRyRWd3QekoQpxCLyws5MCBA83eX7x4\nsc92QkICCQnNPUMtvdfSsZKTk7nhhhva39F450cuAJ6sNn+epir/PvPHAOxZkw1A3hRD1+pIA2A3\nxvsjzVQPSTh5jps7oscRI9b7rwRJhMKAZWVlrF+/HjBm4gsKCpoNtLxn4gH3THxubi7du3d3tzt+\n/Di9exvpU9auXcv1119Ply5dyMrKIjs7m82bN/Od73zHb1/iYpClKLakLYH6qgpOVPn9eN26dX4/\nczgcHDhwgD59+rB//37S0tKatUlPT/eZRq+trSUjI8O9/cwzz1BeXs7rr7/eRkcVRbElERpktXcm\nftOmTe7tu+66i5UrV9KtWzc2b94MwL59+3wGVP5m773RcKGixCpteRiSCyB1kecRBEVFRZSWlgJQ\nWlrKpEmTmrUZOXIkO3fupKamhsbGRtasWUNRkZEct6Kigvvuu4+1a9fyrW99q33XpyhKfBOCJ6uw\nsJBhw4Y1e5SVlfm0a+9M/OLFi/n888+ZPn06c+fO9duureO0OZN1880388orr5CWlsaHHxoZiQ8f\nPsyUKVP47LPPyMrK4vnnnyc1teNW56U2GiGOL7f2cb/nGt1hp1eU6CCCOWYWLlzIddddx1NPPeW+\nx8H4JnfLLbfwyiuvkJSUxIoVKxg/fjxOp5MZM2aQm5sLwE9/+lMaGxspLCwE4MILL+Sxxx6LXIf9\nEI36lc1HAOz+q6eguys2CkwoSnhpTcNOVsHXVX4/jvRMvHDDDTe4PaXWffbs2UN6enorFwEJLpfL\n1VqDt99+mzPOOINp06a5RWr+/Pn07t2b+fPns2zZMo4cOdKisSwhIYE2Dt8ugh1kJRjVdRgxZiMA\nZ5ilZ3pzCICJlLvb3sKz4eyqogREsPdKQkICZAZ5b9VG5n6MZqJRv4IdZCWYawYGlBv7SeksKbMz\nGk+Iw1qmRlE6gvbcK0FrWBD6NX/+fHr16sWCBQsoKSmhvr6+2T3e1NTEoEGDeP311+nXrx8XXHAB\nq1atIjc3l507d5KTkwPA8uXL2bx5MytXrmT79u3ccMMNbN68mb1793LZZZexa9euVmez2gwXXnTR\nRfTo0cPnvUCWdyuKEmEimCcrXlD9UpQoJkL6tXDhQtatW8fAgQN54403WLhwIWDMxF9xhbE4zHsm\nPi8vjylTprhn4n/5y18ybNgwRowYQVVVFQ888AAAeXl5XHfddeTl5TFhwgQee+yx0MOFLRGIqUxR\nlAhjg7pfkUD1S1GihAhpWM+ePamsrGz2fr9+/XjllVfc2xMmTGDChAnN2r3wwgt+j/2rX/2KX/3q\nVwH3JeTVhf5MZcKiRYvcrwsKCigoKGj3uUbyjvmqeUbji1jHthP5AByvN5df/l9X4/mMdp9SUSJC\nVVUVVVVVoR3EBnW/Ik1H6pen9NegZp91PXyUxj+daWyIvv+o3adSlIgSFv0CW2hYuwZZgZjKBG+R\nChdfHjSm/3NHbwWgFwdb3+FF46nvmH0A9GO/+WxsZ7Mr7H1UlNaw/sOWZHdBYdMQYKh0tn5lmXn5\nuk82vFXbD7dRAqvCeNp3tB8Ao880PFh9Tf26jUe9GqsnS4k8YdEvsIWGtSuFQyDLuxVFiTDqyWoX\nql+KEiXYQL/anMm6/vrrWb9+PQcPHiQzM5N7773X7/LuSDGMdwHoGtGzKEqMoZ6sNokG/boMwwOS\nHNGzKEoMYgMNazOFQ0gHD9MSaBlkJZkB3CYSfT6vxwgfSnmJT0zPg9Nst6vO8HBNc6wEIJV6n+dG\nL/lbzL0h91dRgqVdKRwSgry3XPZL4RAK4dIvGWTlmeW+kmnw+Xwbhpf09Q1mSSwjMwMDB34AwI7X\nzjXeOMt4unD0m+ZxDWPvIbM8GMCjzAu5v4oSLO1O4RCMhsWofmlZHUWJVWJPbxRFUTzYQMO0rI6i\nKIqiKEoE0EGWoiiKoihKBIiJcKHT7KZ4shx8AUAdxtLrY41GIqy6ZCPBYFfT8yBLnLMcNQAkmvuf\noBsAX5j7j+X1iPZfURT74sBIdmr1gO7DSMkgKWgKxhi5Gg6aHqtMjBppznGGt3R3mVGGp4YsAN6k\nAIASful1NvVkKUo0ERODLEVRWsIGS3MURYlj4l/DdJClKDFLDCePURRFsYGG6SBLUWKW+P8WqChK\nPBP/GhYTg6wUTvhsi8fhGEaNwpTkk4AnX4y070ojAL3MMjqpHDE/P2kex/B21ZDFvSyOWP8VALtw\nBgAAIABJREFUJTLE/7fAeEDy+okn9HzeB+AEKQA0mB4t8Zx2M/VL9Kk7Rvmd3SN8ax7W0B+Aqaym\nluyI9V9RIkf8a1hMDLIURWmJ+P8WqChKPBP/Gha1g6w8trpfp3RiPxQleol/gYplpFJFG+WfFcXG\nxL+GRe0gyxuZZpfnavqzgUuZw32AZ0l0g1ndUNrJNHyiOSUpS6h7mM/W8jyKElvE/1R7PCBlvzYw\nxv38d4o4xo0A7KOv2S4VgGTT5iB61c9MRTPunHLAUy5MUjwYaLhQiUXiX8NiYpClKEpLxP+3QEVR\n4pn41zAdZClKzBL/3wIVRYln4l/DYnaQdRmvqNdBsTnx/y0wXpnO77moszuhKJ1O/GtY1A6ynF5+\nKUnVALCdfC7jFcCzBFrK5xyiN+DxZEk5npNmO9kW75ZTPVlKTBP/3wLjAfFaAWziYqbze5/PRZck\n5YykbJDyYEIW1YAn1cNEyr0+/c+w9llROob417CoHWQpitIW8f8tUFGUeCb+Ney0zu5AsIzhzc7u\ngqJECU1BPgLn8OHDFBYWMnDgQMaNG0d9fX2L7SoqKhg8eDA5OTksW7bM/f6vf/1rhg8fzogRIxg7\ndiy1tbUt7m83buSPnd0FRYkiIqNf0USCy+VyRezgCQm09/D9zKlx8IT1BrAb8GRul+l1+fyEJaNW\nsjnd3ptDPvvLdLx3GPJuStrVT0UJB8HeKwkJCRD0F45LAz7H/Pnz6d27N/Pnz2fZsmUcOXKEkhLf\ne8TpdDJo0CAqKytJT09n1KhRrFq1itzcXI4dO0b37sb9tXz5cv75z3/y5JNPBtnfziUU/QK4iHU+\n2+fgO9DMogZorluCpHAQvaohC/DolqR2AFjMve3up6KESnvuleA1LHD9iiZibiZLURQhcjNZZWVl\nFBcXA1BcXMxLL73UrM3mzZvJzs4mKyuLLl26MHXqVNauXQvgHmABHD9+nN69ewd7cYqixD3xP5Ol\nnixFiVki52eoq6vD4XAA4HA4qKura9Zm7969ZGZmurczMjLYtGmTe/uuu+5i5cqVpKSksHHjxoj1\nVVGUWCX+PVlRN8jK5iPzlRbTUZTWaevb3Yfmo2UKCws5cOBAs/cXL/Ytlp6QkGBO7dPs/dZYvHgx\nixcvpqSkhDvuuIOnn366jf7GByN5B4BundwPRYl+YneGKlCibpAlSBoG8HgSZCm0gzqfNlI+RzxY\nssRZylPIs5BiVrnP8vJ9KUrs0da3wMHmQ1jt8+m6db6eIW8cDgcHDhygT58+7N+/n7S0tGZt0tPT\nfQzttbW1ZGRkNGt3ww03MHHixDb6Gn+IDvUyPaFCGl8AHt0Sj5V4S0XHxJMlenURbwNQizF7uI0R\nEeu7onQMkZnJOnz4MFOmTOGzzz4jKyuL559/ntTU1GbtKioqmDt3Lk6nk5kzZ7JgwQKfzx944AF+\n8YtfcPDgQXr27ElNTQ25ubkMHmzo6oUXXshjjz3Wal/Uk6UoMcs3QT4Cp6ioiNLSUgBKS0uZNGlS\nszYjR45k586d1NTU0NjYyJo1aygqKgJg586d7nZr164lPz8/2ItTFCXuiYx+lZSUUFhYyI4dOxg7\ndmyzRTtgLNy5/fbbqaioYPv27axatYqPP/7Y/XltbS3r1q3jP/7jP3z2y87OZuvWrWzdurXNARbo\nIEtRYpjIGd8XLlzIunXrGDhwIG+88QYLFy4EYN++fVxxxRUAJCUlsWLFCsaPH09eXh5TpkwhNzcX\ngF/+8pcMGzaMESNGUFVVxQMPPBCG61UUJb6IzoU7APPmzeO///u/23NRPkRtuFBRlLaInGm0Z8+e\nVFZWNnu/X79+vPLKK+7tCRMmMGHChGbtXnjhhYj1TVGUeCEyGhbqwp21a9eSkZHBueee22y/6upq\n8vPzOeuss/jtb3/L9773vVb7EnWDrF0Mafae5MwSb5Z4EiTPjNBolstJMj0MUpYi0TIKFu+Dw/RG\nKEpsEv+m0VjkPb7rs30NzwGecl5Ckrv8l+T5M6zyjaZXS7JgiScr08yzNYYNAIzGs5ITbglP5xWl\nQ2m/hkVq4c7JkydZsmSJj2dV8nP169eP2tpaevTowZYtW5g0aRIfffSRT8oaK1E3yFIUJVDif/mz\noijxTGsatsN8tEykFu7s3r2bmpoahg8fDsCePXs4//zz2bx5M2lpaSQnG1+CzjvvPAYMGMDOnTs5\n77zz/PYlJE+Wv5IascKWqmOd3YU2qaqq6uwutEm09zHa+9d+IufJsgOxrl8Q/RoWC/detPcx2vsX\nGq3p1beBy70egRPKwp2hQ4dSV1dHdXU11dXVZGRksGXLFtLS0jh48CBOpzED/emnn7Jz506+/e1v\nt9qXdg+y2nLmhxMniThJ5NCpXhw61YvtR/PYfjSPE3RzT7EDZitP6ocGutJAV5wk4SSJRpJpJJkT\npHCCFP5e1Y0PGcaHDItIv8NBLNxg0d7HaO9f+4nc6sJ4pyP1q55U6knlGN05Rne3bjWRSJNbtRLd\n7VPNPRrpSiNd2Uc/9tGPBpJpINncq4l6UvlH1Tfu1DbRSCzce9Hex2jvX2hERr9CXbjjjXdY8a23\n3mL48OHk5+dz7bXX8vjjj7eYGsKbdocLvZ35gNuZ31InFUWJBDo71V5UvxQlGoiMhoW6cMebTz/9\n1P168uTJTJ48Oai+tHsmqyVn/t69e9t7OEVRgkZnstqL6peiRAM20C9XO3nhhRdcM2fOdG+vXLnS\ndfvtt/u0GTBggAvQhz700cZjwIABQd1/7TlHjx492nu7xx2qX/rQR/geweqXyxW8hsWqfrU7XBhI\nSY1du3a19/CKorSCy1xSrLQP1S9F6VzsomHtDhe2VlJDURQlmlH9UhSlI2j3TJa3M9/pdDJjxgw1\njSqKEhOofimK0hEkuOwyZ6coiqIoitKBRKRAdDQm+autreXSSy9lyJAhDB06lEceeQSAw4cPU1hY\nyMCBAxk3bhz19fWd2k+n00l+fj5XXnllVPavvr6ea665htzcXPLy8ti0aVNU9XHp0qUMGTKEYcOG\nccMNN9DQ0NDp/bv55ptxOBwMG+bJx9Zan5YuXUpOTg6DBw/mtdde69C+KgbRpmGxol8Q3RoW7foF\n0adhql+hEfZBVkcm+QuGLl268NBDD/HRRx+xceNGHn30UT7++GNKSkooLCxkx44djB07lpKSkk7t\n58MPP0xeXp47AVq09e9nP/sZEydO5OOPP+aDDz5g8ODBUdPHmpoannjiCbZs2cKHH36I0+lk9erV\nnd6/6dOnU1FR4fOevz5t376dNWvWsH37dioqKrj11ls5depUh/bX7kSjhsWKfkF0a1g06xdEp4ap\nfoVIuJcrbtiwwTV+/Hj39tKlS11Lly4N92lC5oc//KFr3bp1rkGDBrkOHDjgcrlcrv3797sGDRrU\naX2qra11jR071vXGG2+4fvCDH7hcLldU9a++vt7Vv3//Zu9HSx8PHTrkGjhwoOvw4cOub775xvWD\nH/zA9dprr0VF/6qrq11Dhw51b/vr05IlS1wlJSXuduPHj3f94x//6NjO2pxY0LBo1C+XK7o1LNr1\ny+WKXg1T/Wo/YZ/JioUkfzU1NWzdupXRo0dTV1eHw+EAjKKSdXV1ndavO+64g/vuu4/TTvP8WqKp\nf9XV1Zx99tlMnz6d8847j1tuuYWvvvoqavrYs2dP7rzzTs455xz69etHamoqhYWFUdM/b/z1ad++\nfT6pBKLx/ol3ol3DolW/ILo1LNr1C2JHw1S/AifsgyzvOj/RyPHjx7n66qt5+OGH6d69u89nCQkJ\nndb/l19+mbS0NPLz8/3mD+nM/gE0NTWxZcsWbr31VrZs2cLpp5/ebNq6M/u4e/dufve731FTU8O+\nffs4fvw4f/rTn6Kmf/5oq0/R1t94J5p/3tGqXxD9Ghbt+gWxqWGqX60T9kFWIEn+OotvvvmGq6++\nmptuusldldvhcHDgwAEA9u/fT1paWqf0bcOGDZSVldG/f3+uv/563njjDW666aao6R8Y30oyMjIY\nNWoUANdccw1btmyhT58+UdHH9957jzFjxtCrVy+SkpKYPHky//jHP6Kmf974+71a7589e/aQnp7e\nKX20K9GqYdGsXxD9Ghbt+gWxo2GqX4ET9kFWtCb5c7lczJgxg7y8PObOnet+v6ioiNLSUgBKS0vd\n4tXRLFmyhNraWqqrq1m9ejXf//73WblyZdT0D6BPnz5kZmayY8cOACorKxkyZAhXXnllVPRx8ODB\nbNy4kZMnT+JyuaisrCQvLy9q+ueNv99rUVERq1evprGxkerqanbu3MkFF1zQmV21HdGoYdGuXxD9\nGhbt+gWxo2GqX0EQCaNXeXm5a+DAga4BAwa4lixZEolTBM3bb7/tSkhIcA0fPtw1YsQI14gRI1yv\nvvqq69ChQ66xY8e6cnJyXIWFha4jR450dlddVVVVriuvvNLlcrmirn/btm1zjRw50nXuuee6rrrq\nKld9fX1U9XHZsmWuvLw819ChQ13Tpk1zNTY2dnr/pk6d6urbt6+rS5curoyMDNcf//jHVvu0ePFi\n14ABA1yDBg1yVVRUdGhfFYNo07BY0i+XK3o1LNr1y+WKPg1T/QoNTUaqKIqiKIoSASKSjFRRFEVR\nFMXu6CBLURRFURQlAuggS1EURVEUJQLoIEtRFEVRFCUC6CBLURRFURQlAuggS1EURVEUJQLoIEtR\nFEVRFCUC6CBLURRFURQlAuggS1EURVEUJQLoIEtRFEVRFCUC6CBLURRFURQlAuggS1EURVEUJQLo\nIEtRFEVRFCUC6CBLURRFURQlAuggS1EURVEUJQLoIEtRFEVRFCUC6CBLURRFURQlAuggS1EURVEU\nJQLoIEtRFEVRFCUC6CBLURRFURQlAuggS1EURVEUJQLoIEtRFEVRFCUC6CBLURRFURQlAuggS1EU\nRVEUJQLoIEtRFEVRFCUC6CBLURRFURQlAuggS1EURVEUJQLoIEtRFEVRFCUC6CBLURRFURQlAugg\nS1EURVEUJQLoIEtRFEVRFCUC6CBLURRFURQlAuggS1EURVEUJQK0Ocj65JNPyM/Pdz/OOussHnnk\nEQ4fPkxhYSEDBw5k3Lhx1NfXd0R/FUVRAkb1S1GUziTB5XK5Am186tQp0tPT2bx5M8uXL6d3797M\nnz+fZcuWceTIEUpKSiLZV0VRlHaj+qUoSkcTVLiwsrKS7OxsMjMzKSsro7i4GIDi4mJeeumliHRQ\nURQlHKh+KYrS0QQ1yFq9ejXXX389AHV1dTgcDgAcDgd1dXXh752iKEqYUP1SFKXDcQVIQ0ODq3fv\n3q4vvvjC5XK5XKmpqT6f9+jRo9k+AwYMcAH60Ic+2ngMGDAg0FvR5XK5XN9qxzlaukftguqXPvQR\nuUew+uVyBa9hsapfSQTIq6++yvnnn8/ZZ58NGN/+Dhw4QJ8+fdi/fz9paWnN9tm9ezeuwC1fHc6i\nRYtYtGhRZ3ejVTq7j7/l5wA00hWARJw+nyfSxBuLNjBu0ehWjyP7eZ6b3J/9jMfD1t+W+N6iAr63\n6FL39glSfPoidKUBgGQaW+xrUrNr92z/gkdC6mNCQkJQ7b8GFgV5jkVHjgS5R/wQj/oFna8PbdHZ\n/fsrEwHogbGwoQ5j9tL73n1+0Sdcv2gAAE6SzOfEZu1a41rKwtPhFpiyKIcpi3Lc211NfRJSOAFA\nk9ln6zUIonuCtwZPpjykPgarXxC8hsWqfgUcLly1apV7qh2gqKiI0tJSAEpLS5k0aVL4e6coil+S\ngnzYGdUvRYk+7KBfAfX9q6++orKykieeeML93sKFC7nuuut46qmnyMrK4vnnn49YJ5X45kFuA2Ae\nj4bleAu5Bwj8W2g4KOEO9zdJgP/i/oifs0vEzxAfqH4pkWY1VwEwlRdDPlYZ4wF89CTSlDHe53yh\nzmwFih00LKBB1umnn87Bgwd93uvZsyeVlZUR6VRHUVBQ0NldaJPO7qMMFn7DXQA0kgx4QmpOkjin\nIIsGM5xoxXtKurNILxhAE4nucF+yGRa0Trt7woS+4UERnwZ3yLTJ531rGLGjiOVvdx1JvOoXdL4+\ntEVn908GC69wGdD8i1cjyQws6OO2QzSY+pbCSbO9R7+cfu44a1gu3IwoONNHq0S/pD/+woTWfsm1\nyLHkWjtLv4xzxz92uEa/dLYABEIs9LF/wTmd3YVWySzo39ldiAh2+BaotE6060O09w8gr+Bs6MSB\nRlucW9Cjs7sQMeygYbYeZClKLKM3r6IosYwdNMwO16jECLKS0RvvqeyFPNTs8zvwZOn2hPk6n0eZ\nCcBtPBmxc9jhW6CixBKruapZSNI7bNeSZ0tCmZEOOwaD+MKK+HtEz2MHDYuG/0dKDCDLhI/RHfB4\ns/yZy62+ASsiKJE0dzotnqlEtyer0edzeT5EL5/95RrkmrtzzHw+bjn+CZ/PO8rjoDevogSG+I+a\nv294sTz39rGAjxnpQZFVt+R8jRb/qzXdhPVau1pS0liP72+7I7CDhtnhGhUlLrHDt0BFUeIXO2iY\nDrIUJUbRm1dRlFjGDhpmh2tU4gTJfwXeYcbo/hN+gmkA3MKzYT+2Hb4FKko8UcqUZuG7lNZ26GQk\nY36k8mbZQcOCKhCt2JeFPMRCHqI7x+jOMZJpdHubWuIkKZwkxWzl8QicIIUTpNBAV5/cWk6SfB6N\ndKWRrubZulNPaovnSaTJ/ZC9m7dx+vgRjrmvwnjU4aAOh3tb+ij05hC9OUR3jtOd42bPG0g2H904\nQTdOuM/fjZN042SrP59w0CXIh6LYlcmUM5lyt1YIKebdLmog97DoUEt4NMfZ4sMf/nxhsqe/47X8\nruchiNZ2NdWzB/X0oL7ZcUTf5Cr80RHJUEPVr4qKCgYPHkxOTg7Lli1r9vm//vUvLrzwQr71rW/x\nwAMPuN+vra3l0ksvZciQIQwdOpRHHgmtLFprRPc0gKIoftGbV1GUWCYUDXM6ndx+++1UVlaSnp7O\nqFGjKCoqIjc3192mV69eLF++nJdeesln3y5duvDQQw8xYsQIjh8/zvnnn09hYaHPvuFCZ7IUpQN4\nlJnutA7hQmeyFEXpCP5MEX+mKOzHDUW/Nm/eTHZ2NllZWXTp0oWpU6eydu1anzZnn302I0eOpEsX\n3yP06dOHESNGAHDGGWeQm5vLvn37wntxJvplWAkKyVV1H3MAzxS4dVmxlZNm+M26HFnwtxxa2stz\no58pd2heXkLCAhKWlH3rcACe5dqSnqKb+dybQz7n9Nen7maKhzMsy7+taS4itdRbb15FCQ7xFonX\nyB/WEjTGeyd92pygG+DRPkn54g9rGa9AS45Z091IyR9rChqxJ/TCKCElmusvXY61bJj/80dOaUI5\n8t69e8nMzHRvZ2RksGnTpqCPU1NTw9atWxk9enQIvfGP6rSixCg6O6UoSiwTioYlJCSEfP7jx49z\nzTXX8PDDD3PGGWeEfLyW0EGWosQoevMqihLLtKZh7wNbWvk8PT2d2tpa93ZtbS0ZGRkBn/ubb77h\n6quv5kc/+hGTJk0KeL9gUZ1WlBilW2d3QFEUJQRa07DvmQ/hKcvnI0eOZOfOndTU1NCvXz/WrFnD\nqlWrWjyWy+Vqtj1jxgzy8vKYO3due7oeMAku69nDefCEhGYXp8QXJdwBNI/ri0/B6huweqz8ebOs\nJXDEv3Dc9DvJ+by9YOIPk3QPKRYPhefcxrE8nqyTPttWb4V4EsS75elbg89+0q7R0g/vVBXzeJSW\nCPZeSUhIYHvArQ3yaC42in9Uv+IfqdFnTbdi1aGWPjth8TwJsk9XUx/k/hevppDKEaB5ORvpiz//\nqXhHrZ4qaxkeOV+gnlB/nlZvT9a1lLW4b3vulWA1rCX9evXVV5k7dy5Op5MZM2bwy1/+kscffxyA\nWbNmceDAAUaNGsXRo0c57bTT6N69O9u3b2fbtm1cfPHFnHvuue6w49KlS7n88suDuoZA0JksRYlR\n9OZVFCWWCVXDJkyYwIQJE3zemzVrlvt1nz59fEKKwve+9z1OnToV4tkDQ3VaUWIUNb4rihLL2EHD\nNFyohAUJG/qrBG8NH1rxNz0vU+fyuYTgZKr+C9LcbT1lKozp9FTqAU84z9rOGoq0thNk6bVM0wvS\n3jptL9P03lnqf8bjLR5baE+4cE/ArQ0y0HBhMKh+2Yd1XAR47l25t73tCFaLQ1upEawhSI99INnn\nHGJXkJQQkkKmwZ0CJsnnfFbbgzXcaE1ZYw0nCtbwoL+UEOA/TCi0N1wYjIbFqn7pTJaixCh68yqK\nEsvYQcM047uixChdkoJ7tERbtb8A5syZQ05ODsOHD2fr1q0+nzmdTvLz87nyyivd7y1atIiMjAzy\n8/PJz8+noqIibNesKEr8EKp+xQIx3HVFsTdJwd69lgTTgdT+Ki8vZ9euXezcuZNNmzYxe/ZsNm7c\n6P784YcfJi8vj2PHPKHWhIQE5s2bx7x589pzWYqi2ISgNCywBPlRhw6ylLDgLyWD9XPBGv+3vi+c\nNH0K4pWwLoNO4wv3a1kyLd6p5mUsWi6T4zmX4fMSL4Icz7MtHi6nz7Zg9WZEshwFQJcQq/V41/4C\n3LW/vAdZZWVlFBcXAzB69Gjq6+upq6vD4XCwZ88eysvLueuuu3jwwQd9jh2L3gnFvng8o0k+z954\nSu34pmZoMjXKmkKhrXMdcqd2MI7n8WaltLifpIxpnh6nda+YtV9Wr5dg3S8xQuXAvAlVw2IBDRcq\nSoySlBTcw0pLtb/27t0bcJs77riD++67j9NOay4jy5cvZ/jw4cyYMYP6+vowXbGiKPFEKPoVK+gg\nS1FilFA9WYHW/mopW/LLL79MWloa+fn5zT6fPXs21dXVbNu2jb59+3LnnXe2+xoVRYlf1JOlKEr0\n0sZUe1Wj8fBHILW/rG327NlDeno6f/nLXygrK6O8vJyvv/6ao0ePMm3aNJ599lnS0jxpNWbOnOlj\nilcURXFjg3Ch5slSwoq1zI41h5TVB9Do9ge0frd5l6YBjz/CG3/eA8HqofIcy7dMjrRLtnglJP+W\neL7kfem79XwAkyn3f1FetCdPlqtfwM2Nffb5zko1NTUxaNAgXn/9dfr168cFF1zAqlWrmhnfV6xY\nQXl5ORs3bmTu3Lk+xneA9evXc//99/O3v/0NgP3799O3b18AHnroId59913+53/+J7jORgGqX/bD\nWmbHW5dED5Lc+mJokuS3sno2rfgrv2PVskb3cQ1vlidnV8t5r/xtC1bds3qy5Pzid/XODXYLz7Z4\nLVbamycrGA2z6lesoDNZihKrhHj3JiUlsWLFCsaPH++u/ZWbm+tT+2vixImUl5eTnZ3N6aefztNP\nP93isbxDjwsWLGDbtm0kJCTQv39/9/EURVF8sMEIJKCZrPr6embOnMlHH31EQkICTz/9NDk5OUyZ\nMoXPPvuMrKwsnn/+eVJTU33202+C9kNnslqmrRmtds1kfTvg5sY+n8bmN8FQUf1SAkVnsnxnsqRq\nRqQyvgejYbGqXwENsoqLi7nkkku4+eabaWpq4quvvmLx4sX07t2b+fPns2zZMo4cOUJJSYnvwVWk\nbIt1sGXF3/Jhf6kd/C1HbukYDZYlzv7EzHosa5kdf4MrEb2uFiFubSAYkUFWTsDNjX12xqZIhYrq\nlxIsr3BZs/esOiIaJoMf65c1q774S3Mjgx5ragbRE+v5rNue/rXczqpT/jRZBlmSyqaXWd4HIjjI\nCkLDYlW/2lxd+OWXX/L2229z8803A0aI4ayzzvLJn1NcXMxLL70U2Z4qiuJLUpAPG6L6pShRjA30\nq81BVnV1NWeffTbTp0/nvPPO45ZbbuGrr75yJyQEcDgc1NXVRbyziqJ4oYOsNlH9UpQoxgb61WbX\nm5qa2LJlCytWrGDUqFHMnTu3xWl1fzl3Fi1a5H5dUFBAQUFBSB1WlHigqqqKqqqq0A5ig+XPoaL6\npSjhJyz6BbbQsDY9WQcOHODCCy+kuroagP/93/9l6dKlfPrpp7z55pv06dOH/fv3c+mll/Kvf/3L\n9+DqabA997Cw1c/9Gd79ebOs/gZvb5a0FSNqYzOPlNOy7etZSLYYRFPcBnfxZBkeLY8ny/BeWE39\nctwkr/MV8fcWr1NolydrZMDNjX3ei01PQyiofimh0Jo3S/CnUaIbVl3x5+kSb5Z4oqy6YvWYBuo5\nbQs5j5xXDPfe13kzz7V6jHZ7soLQsFjVrzbDhX369CEzM5MdO3YAUFlZyZAhQ7jyyispLS0FoLS0\nlEmTJkW2p4qi+KLhwjZR/VKUKMYG+hVQ15cvX86NN95IY2MjAwYM4Omnn8bpdHLdddfx1FNPuZdA\nK4rSgdhgqj0cqH4pSpRiAw0LaJA1fPhw3n333WbvV1ZWhr1DiqIESAx/u+tIVL8UJUqxgYbZ4BKV\nzuRuDJOx1ZvVaEnc2dwv1XpumZaQttbke9Z8Mv6wnqMtv5g134zVi+UvKWHY0LtXUSLKFXgG4uLP\nsubFCpYkt2frpM/xnKS22N6fP7V5u9YFwZ8uNVm8XcJJ09saUWygYTa4REWJU/TuVRQllrGBhtng\nEhUlTrGBn0FRlDjGBhrW5upCRQkHiTT5PIRkGkmmkRROkMIJunOM7hwjlXpSqXe/383ykPedJLof\njebRZLutvnSlka40uo9g3U/el177IwknSTjdx5Nr8u5bRNDVhYrSYfi7l+Uut7ZrIJkGLz3y6J9v\ne9kW3RBEV9rSEKv+eXQwqcUQorcuBXI9ESVE/aqoqGDw4MHk5OSwbNmyFtvMmTOHnJwchg8fztat\nW93vL126lCFDhjBs2DBuuOEGGhoawnddXuggS1FiFR1kKYoSy4SgX06nk9tvv52Kigq2b9/OqlWr\n+Pjjj33alJeXs2vXLnbu3Mkf/vAHZs+eDUBNTQ1PPPEEW7Zs4cMPP8TpdLJ69eqIXKImNxpFAAAg\nAElEQVQOshQlVkkM8qEoihJNhKBfmzdvJjs7m6ysLLp06cLUqVNZu3atTxvvGqWjR4+mvr6euro6\nzjzzTLp06cKJEydoamrixIkTpKenR+QS9fttCJRwh/v1Qh7qxJ4o0U4pUwAoZk34Dqp3rxICf2Wi\n+/VkyjuxJ0q0ExH9gpA0bO/evWRmZrq3MzIy2LRpU5tt9u7dy3nnncedd97JOeecQ7du3Rg/fjyX\nXdY8u384UJlWOoT/4n6f7fuYA0AyrcfBJdFDYhtldrxfH+MMs23Lf97+ljK3VrLH+9xtL6X2/fyI\nn6XZIaN3r6J0GNbSWBVcCjQvZyP3v7+yXolm6gZrWS7oDkCDuV8qRwA4SG+f8/jTJatv1DdJjn9E\nD52W8jxyvFTqAzxSOwhBw/zVG7XSUime3bt387vf/Y6amhrOOussrr32Wp577jluvPHG9nfIDyrT\nihKraAhQUZRYphUNq9oPVQf8f56enk5tba17u7a2loyMjFbb7Nmzh/T0dKqqqhgzZgy9evUCYPLk\nyWzYsCEigyz1ZClKB/IE03iCaeE5mBrfFUXpQFZzFau5KnwHbEWvCjJh0SjPw8rIkSPZuXMnNTU1\nNDY2smbNGoqKinzaFBUV8eyzzwKwceNGUlNTcTgcDBo0iI0bN3Ly5ElcLheVlZXk5eWF77osl6i0\nk25mlXUleH7BI4AnbChT3sfMKXNr5XrJiryPfgD04iAA2ex2t5Eq9ofo5XMsmV5PMX9fMg1unU73\nZIxvMLdbDgM0WMIA0lfPfr7T+dawQdjQu1cJgYj9XdqEy3kTgDLGA63ZDIwbVWwMvU3t6maGDUWX\nask02xs6I5UrmtsTGmkJCftZtVOwhhOTmtklmnzOKxnppf8pkfh/F4KGJSUlsWLFCsaPH4/T6WTG\njBnk5uby+OOPAzBr1iwmTpxIeXk52dnZnH766Tz99NMAjBgxgmnTpjFy5EhOO+00zjvvPH7yk5+E\n44qa9zMiR1UUJfLo3asoSiwTooZNmDCBCRMm+Lw3a9Ysn+0VK1a0uO/8+fOZP39+aB0IAJVpRYlV\n1JOlKEosYwMN00GWosQqevcqihLL2EDDbHCJkeNnPN7ZXYh5xJslSO4xq89JljFnUQPAMD4AoIb+\n7n3Fg2V9tnqs/Kdu8P3cmgLihLkt3i9/qRzkfOLdsnrBwkYY7t6Kigrmzp2L0+lk5syZLFiwoFmb\nOXPm8Oqrr5KSksIzzzxDfn4+X3/9NZdccgkNDQ00Njbywx/+kKVLlwJw+PBhpkyZwmeffUZWVhbP\nP/88qakRSmOhtJupvNjZXYgLrKkdJP+Yx9tk3P+iK5LS5QyOGe87jfe3JxrG6/6mxh00vaWyv+iJ\nP92xauYJUnw+F30TL5bokWxbUzlIeh3x7jUEnBQiCGwwAtHVhYoSq4SY8T2UshTf+ta3ePPNN9m2\nbRsffPABb775Ju+88w4AJSUlFBYWsmPHDsaOHUtJSUlkrl9RlNjGBhUrdJClKLFKiCkcQilLAZCS\nYnxTbmxsxOl00qNHj2b7FBcX89JLL4X1shVFiRNskIImhrsePUyhFIA8PLMAd6Pf3pUIE+Ld296y\nFHv27MHhcOB0Ojn//PPZvXs3s2fPdueZqaurw+FwAOBwONyDMiU6qTbTogDsYoD7dSFvd0Z3FDth\ngxGIDS5RiSX81YBcyD0A3MpjAGxjBABfkOZuk8YXgCenlr+8Vd1NL4Q170tbZXSa579K9nk/0eJ1\nsOb+Cnt5ihDv3vaWpZD9EhMT2bZtG19++SXjx4+nqqqKgoKCZm0DPY+ixAP+6kBKPi3Jr3jI9Jke\nT2zw2R7NZsCjHzVk+Wy35Sn1592y5v2z5smytvN83nrps5CwwQjEBpeoKHFKGz6Fqt1Q9an/z0Mp\nS+HNWWedxRVXXMH7779PQUEBDoeDAwcO0KdPH/bv309aWhqKoijNiGGvVaCoJytC3MVvuIvfdHY3\nlHimDQ9DwSBYNMHzsBJKWYqDBw9SX2/MzJ08eZJ169YxYsQI9z6lpUYIvbS0lEmTJkXi6pUI8yZj\neJMxnd0NJZ5RT5YSCLJUV0JXEa1ablNKuNt8ZTy/iJHVt+Rfi9xtEjYYYa0zphplK25LeRTwhO8c\nZjhRwoXWJc6NbSxRtk6/y7S8dbpekOPL0mopBRQ2Qrx7QylLsX//foqLizl16hSnTp3ipptuYuzY\nsQAsXLiQ6667jqeeesqdwkGJXiSc7Y2/UJLSfqypHtZxEQBfYPgXt2N4Gu/9vyUAfDTU8MeJflhT\nNIiudbWU0ZHgXhPdfN6XlDTt/d1GpAyTDUYgNrhERYlTwjDV3t6yFMOGDWPLli0tHrNnz55UVlaG\n3jlFUeIbG4QLdZClKLGK3r2KosQyNtAwG1xi5JjO781XNhiOK9GH3r1KCLzDSIAWgoWK0kHYQMNs\ncImR5xMGAR7PzkWaXybiuEsaDfaUNjp/sJFx/Lf8FwC1GPmdsqgG4KTpkZISPYI1VYN1qbSUk7B6\nGaRdgyWVg7UcjzVVRNjQsb0SBurxlDwq3P+/AHzQd2Bndcc2WPOQ7WMOAK8MHevzvtWDJV5PT5kb\nSUlzEvB4Tq3lcIItimNNSRMRbKBhOshSlFhF715FUWIZG2hYQJeYlZXFmWeeSWJiIl26dGHz5s1a\nBFZROhsbCFQ4UP1SlCjFBhoW0CUmJCRQVVVFz5493e9JEdj58+ezbNkySkpKbFMI9uf81nzVu9V2\nAPcxx2fpv7+M5ooSNDYQqHCg+uWLpA5IaaOd8DkOd9ZxgIvZ5L+xogSDDTQs4Eu0ltYoKytj/fr1\ngFEEtqCgwDYiJYgX64SZj0TKIWSzy3w/UBlTwsEb3b4HwJlGKic+n2rkLZNB7ocMA6Af+wA4RC/A\nkydIvAviZUg2vRD+vFie7ZZvI/FiOTBq94X978EGfoZwofrVHPEseudv+6qnkZ/63Nd2APD5OM3W\n31HM/59HjBdZxtOvxhjJrCU/VipHAI8eiW59YW6PYCvg0SPxVFn1y+MdNQREPFdt5c9KjkR5HRto\nWEAZ3xMSErjssssYOXIkTzzxBKBFYBWl0wkmW7INvjH6Q/VLUaIUG+hXQF1/55136Nu3L//+978p\nLCxk8ODBPp9rEdjAmcYTZFEDeFaBeH9DcK+aU5S2iGHh6UhUv8LLPSxkOsZ0sRRqH8E29+fnoANW\nJUBsoGEBXWLfvn0BOPvss7nqqqvYvHlzwEVgFy1a5H5dUFBAQUFByJ3ubCQVwBiMlAFSRieP7QDs\npx/gCSdWUWC239CR3bQdZ840niumFgBw+f9VAbB6qFE7T6bTJUwi0/AybX7cnH5vsqRwkKXR/lI8\nyBJr63S6hAvPMAfTZ3CMUXwIQFVVFVVVVe2/WKMDSgCofvkiYaZdGGVbGrwW97/d9WIAsscZlofM\nE3sAqE8xFgW8yFUd1k/b0cd8zjDKcy359B4Arvz2CwAUUAXAIdMLLL9HKee1w/x/04tDgO/vFTwp\nHKxhQiGQVA3FrAHCpF9gCw1rc5B14sQJnE4n3bt356uvvuK1117j7rvvdheBXbBgQatFYL1FSlEU\nA+s/7HvuuSf4g9jgW2CoqH4pSvgJi36BLTSszUusq6vjqquMby9NTU3ceOONjBs3jpEjR2oRWEXp\nTGwgUKGi+qUoUYwNNKzNS+zfvz/btm1r9r6disBK+RzParPIkc1HAOxiSATPosQFNphqDxXVL1ht\nhvhkdWuks4E1HTX8bUlnutpoqdieEDWsoqKCuXPn4nQ6mTlzJgsWLGjWZs6cObz66qukpKTwzDPP\nkJ+f7/7M6XQycuRIMjIy+Nvf/hZaZ/xgg3Fk+Hls+zwALsx7E4BMPgfgMl43np3G88FEI3Yuni1J\nIbDyjVuMA5k//bO+cwCA3smHItzzOGe5IeqXy/Y+Q+wdQ32NuN05DniWLItHy5pioavpbbCmbLAu\ngRZk6bR4tNL4wjzfseCvJRD07lXawYecC8Bu05MlKUsAPiYP8KQ3eTPlUnMfQ7vE73M/PwfgkUfn\nA/DwbT8B4Lajf4ho3+MZ1/fllXFjO8z/K+LtnUg54PFgiedTdEuexVvV1fScdvNT1stf6hkr3n8f\nYScEDXM6ndx+++1UVlaSnp7OqFGjKCoqIjc3192mvLycXbt2sXPnTjZt2sTs2bPZuHGj+/OHH36Y\nvLw8jh2LkEYTYAoHRVGiEE3hoChKLBOCfm3evJns7GyysrLo0qULU6dOZe3atT5tysrKKC4uBmD0\n6NHU19e707Xs2bOH8vJyZs6c2SyPXjhR6Y1SJvJXAMqZHJbjTaHU/XoNxWE5ZiDcxoPu148yL+Tj\nuQ4bs1Pzei4F4Hd5C30/3x7yKWIHvXuVKOYJpgFwC8+GfKx3zZk0wL1CtyN4i9E+2+HIdv97pgOQ\nZqa6mPzgq54P59ksxBqChu3du5fMzEz3dkZGBps2bWqzzd69e3E4HNxxxx3cd999HD16tP2dCACV\n6QDYZN5oMj2b3Mf4pVyKES4cbd54lRjV03+U+CcAdr9h+Kpu+r6RAFFuqm17vmMc+Hbj6cv7jbW7\nXw41nieM+WtkLsRujDME6wNmAZ5cPjKNvoExAHyB7/J9CYnINLu0lzBhndlewo2SokGWVmdSC3jC\nhE6SGGJWAQgr6slSAmDqrpcAOJh9BgC9RxnhctNqyufne/7+z3nRCHGXXDUXgL5mdYTLMPxrEpJ6\nj/MBuMfUsGtuMywSSUZznhh8U7gvw3bUcQ4ACR8Yz8nnGjokFSvE5iDhQUnZIDqVbNoiPPrVZLYz\nwn+NlvaC2CC87RPhGCi3SAgaFmhuO+sslcvl4uWXXyYtLY38/PzwpKJoBR1kKUqsonevoiixTCsa\nVrXZePgjPT2d2tpa93ZtbS0ZGRmtttmzZw/p6en85S9/oaysjPLycr7++muOHj3KtGnTePbZ8A8m\n1ZOlKLGKerIURYllWtGrgjGwaK7nYWXkyJHs3LmTmpoaGhsbWbNmDUVFRT5tioqK3AOnjRs3kpqa\nSp8+fViyZAm1tbVUV1ezevVqvv/970dkgCWXqPhhPGXmq8xW20WUTQkcGH2We7OPuVKR/zOmSj8f\n6lsEeQ1T3G0X8pD7GoJdtv1bc/VQDzkfcBtPNmsnnitZQSlZ1D14QhFzuM9navohFtImbxnX+e7F\nQwEY2UbzhL/CTyY/DIDDXN3Xq+2zxCYaLlRaoQJjZeDlbbSLNBexjjt4yL09mXL+jPHP8Np/Gcvm\n3xx8IQCXPvMPz44/dvEgt5nHCA7Zz7vKxnfMig/ebDVXU0roTUJpJ+gGQH9L+4/I9tkOxAZQbVYA\n2W6eq9X/J+8nIIv5nhgqIdcIheqigRA0LCkpiRUrVjB+/HicTiczZswgNzeXxx83StPNmjWLiRMn\nUl5eTnZ2NqeffjpPP/10i8eKZFktHWQFgNyoj54wDAj7ehplOtIaDI/V6TtPAVD05WsATPvuSgBu\n/v4fAfg74wH44g9GbJ1Zz5hHvgyA9T+52tjPNKf/ntkAnLPpi7Bdw9+Oeo3wzwzbYQPGGvdvL+vN\nEdN9X/4SgN+N9BqotZy0201yg5Fa4bmuNwCepcl1GIWC682h6HvmUE48VTMtg8tU6rmWMkrNAa2U\n45HUDSLY75u+FYCSQC4uWPTuVQLgnWzj71AGDiffNbw2u8wBw5yjj3kamynFrrzKGPxImgfxM57z\nU0OT+i03fEHVrusAcJqfzxn83wAs/9UvAPjeknVhuYZA0w2Em1qvAZF3fcZQEI/vMNPAXz3P+H/S\n//39LbY/a7CR4ke8o705CEA3s9yXNfWM053Cwbfcl3cqhqm8yHNcAzRPSSMDzXBpdquE+GudMGEC\nEyZM8Hlv1qxZPtsrVqxo9RiXXHIJl1xySWgdaQWVaUWJVfTuVRQllrGBhqknS1FilTB4sioqKhg8\neDA5OTksW7asxTZz5swhJyeH4cOHs3WrJ+Ry880343A4GDZsmE/7RYsWkZGRQX5+Pvn5+VRUVIR2\nnYqixCc28JTGcNdtSm3gsePep/ZyfgvDaAefcyVGOEBCYr3MKWiA/+L+Fo93F79xTylnUWO+O6zF\ntoHwZ4pw4MnGfjGbOOo0pqprE41p+mgtLvRbfh6UU2+Mme5jg+mTCQeuED1ZoWZMnj59Oj/96U+Z\nNm2az3ETEhKYN28e8+aFnhdNiT+6Hj7Kn3oG0PC1BBh3a7O3K7jUnX5A0hf0xlMtw18uq7v4jdsX\nJaG/ohZbBs5HZDPk7t2eN+5xucsYSdoLTDtBNGH0MXABcXvo3D7l8BCqhsUCOshqBbkhX9tneKoc\n/YwBgeRPOtnViIUPGGrcZPmmsTL//Y8BePB845/MvfwGgL8cuNE88mfGU4mx3PTiV411qvdMuBvw\n5KB5drRx/pG8D8DltVWezpnh8nP+z/RtGWF3zj//PQCuP7Xa6Pu5poyYv+m0LZ8HdO3WgdZd5jVY\nEaO7PIv4CVJaRvwBMqiT99si7+ItgOdnO9Zl5ONxUQ3ABc++5W4r+av2m0bTPIzMpOea3oe7uxqV\n4neYZSokH5a3OfYWnuU33AVADVmAx5chpUUGWMyu4l04ZorpNkaY/TG8XlbPRLhwhnj3emdMBtwZ\nk70HWS1lTD5w4AB9+vThoosuoqampsVjRzKDshIY8gVGcl29b3oNZWAief0+OXOge5/HhxnLuIZc\nZmjakB8bz7t+ZGiVy7iF3Lng5Fl8jIP4BIArl/wZgPH8HYCrv2+UhEl+4ajPfmWDxwFQ9DfDz0qO\n2ZGvjKd5Lxp+sa8mGt8W3+56cUDXPo9Hfbb96ddtZjv5Wcm9+ltTA/IaPNmNP+x6rs++gZbLEu/u\n37sa/0ckr6LoiPyfeet8w94v+feyzc9Lkg3/qdUzJXkbJf8VQDFr3F4r+T8lfja5Ns9+zmb7e29b\n8wNGglA1LBbQcKGixCjOpOAeVvxlQw62TUssX76c4cOHM2PGDOrr69tsryiK/QhFv2IFHWS1wKVU\ncCnqI+lo3mkzQUPs8yC3uZeXh0pT4mlBPay0N2NyW/vNnj2b6upqtm3bRt++fbnzzjsDvyglZCpM\nBVM6HmsZnnjjzxS5Q4fhIBT9ihVieHwYeWSq+6p+LwKe8FIqRwCoMoVMpnEHNhhT5WY1BHaZy5//\nss+YvmWlHNlIITBhgVE+5x0zPChLbFeaMX1Z4nv5v6sA+CrN84d2+nojbQRmCq29V/by6VPD18ax\nLvjACKdt/twsIfNHo3Mv/djId3D1aS8AcIJMHudnfn8Wi7nX72cACzHiCFJipqslX5aUfDhipkmQ\n0JqkTZDQ3pkbzbDjd432Mp0vU9037/8fACr6FgCeyvQA5UwEPNPkUjZnt7lU/U2Mfa7iJfc+97IY\n+E+fvhrvwT1mHi8JdYpvLcVcOn3c4rWQaXUJhYpvTX6P+8wwZrhwJrV++75ddYr/lb+TFgglY3Jr\npKV5cqPNnDmTK6+8stX2SmSQv8MeJ74EoFeKoV8SzpYw+rIP7nbvk3KN8bd91zXGPdB7v1GaRUKM\n+3oaOiOhc8mP9wlGyFG8UXJfSijs128Y4Te531/ASFtzGa/7dvpF382t9xuha2upKiktc9ArC15r\nNQ2b69dUAOTKux42wpg/73m/eX1GaPCLrg73Htb7150a4R5Dq6x2gan/MnTmr4ONFANiH1j0+W8B\n+N05t/lcm/zs5Djy/0bCilK2S8J5iTQx2Uv/hBsxNP2vph7K/6fmYUGnZdv4XH7GErZs8Er9EG7a\n0jBfrDkYYwMdZClKjOJMbN01OmZsImPGerZL/t9Jn8+9Myb369ePNWvWsGrVKp82RUVFrFixgqlT\np7ozJjscDlpj//799O1r5P558cUXm60+VBRFgbY1LB7QQZaixCjOEFO+h5ox+frrr2f9+vUcOnSI\nzMxM7r33XqZPn86CBQvYtm0bCQkJ9O/f3308RVEUb0LVsFhAB1leeLwyGt5Qop+mMAhUKBmTrbNe\nQqRqgCmtI+GhyKxlVZTwEw4Ni3Z0kNUCH54ywhs3nGb4f8QvJKNuiZlfxNsA7MMIjZR3vcL4/Gzj\nc1mqu7Sf4e2p3Wms0voxxmyAeHskFi7pDySlgHi67jh7KeDxBgEc/JERnxcfkvgDxAt1/EPj85rR\nWQCknWN4GLrdbPiVJC1EUpiW55aY7gZZKi3HFX+ULBsWb5WkW5B4v3gsvhpp+M7yVxtpMPL5GKZ6\njNfv9n3TPI5RIsSTi8ZzDDm29EE8BoP4xKy/OCqgaxLvnQiB/L68fw/g8TaIP0We5fcp/Qr3UujO\nKjWiRDdZZnoTKcOSknLCZ1u8is9e+BMAev3Dk2NKdOQtqRZoSBuXOQ3v1NuJxvvirRTPlXhBxYco\n2ner6amUv9Uq0xcpfqMXzVpYKVcafbz4LCOdjdirxHMlXi65txosqWJCpaGnUWss39TTWzFSR3in\nXxHdl/tatE1SZOT/2/C+7Tvb9G6ZdqnJ5a/CPBeTzeN8eM5zgCc1jHhx08w0ErItvrexXhrXh8BX\n6srPXP5vJblTNrScusGK6F4kZ5vsoGHxf4WKEqfYYapdUZT4xQ4apoMspVVkZsp7FU9rqxCVjsMO\nAqUoofB7pgOeFb4A3+W9zuqOYsEOGqaDLC8kS/D204xnybgr07qfmJnCZbpYpl0nmeuOy7nCfayb\nec79unlpGN9yI5LTRpbyylS9TOvXNhrn75fsqdJ+yBz0OE8Zf6SDTvvE5xhZo2sAT4hAptkl9Jlo\nmToOFzKl7s6Kb063Wyu9S+hNkEHctq75AHz3rPdbPL4s05aAn3fOFgl1DGIH4KlWD3CpV1b3QPkZ\nhmH7YQyPkmSFluz2nqXRvtPvMi0vYUX5WVjDjKFiB4FSAkeW839kpiyREJtohYS1Vu64xXjubzwv\n88p7luf6nvt1oWmHANwVWDwK58sYMz+U3BtiY/g7RpZz0QFJKyE6JGlyevzb0IMjFxs2gB6ZJ332\nG8Bun2uKVBbybqYuSRjU+569wAyBSqoF6UOK09jn3bOHAlBgltDi2pbP8QI3+myLhsnvSVJFiJ49\nyUy/pc5aQ0rgWPNatRUmtIYZIxsujH8N00GWosQodjCNKooSv9hBw3SQpSgxih1Mo4qixC920LD4\nv0IlYH7Lz1vIYh4Ykh0dL++WElnsMNWuKIHyZ4rcq449/7wDW4U4RkJ8SodiBw3TQVYLPPXprQDc\n+G3DVyXxeXmWWLl4td6kgDUUc3M7z3e55QYv+rfhkUg92/BRVSUbni1JBQAeD9PJ08TrYPiFrP4g\nMXyOYJtxTNObJX0X/MXpxWNhHXz5Q1I1SNoE8WhJqoaTpghKP8XnJO3Fj/DnCf3cnoLWEM8ZeEr6\nnKAbxawJqL/BkGwp62D1tVm/lVlLC4U/hUP8C5QSPHLPyfN7Zk1QSavwHwP/BcBnq4x7ZAGLcLnu\nth4mKC42jy1sN31HY3gHgO4cN/t0hk87SbdSe7ahD/I3XdvfuFfEu2UtaSPXJoOqenq02C/RldQA\nUx9I+/fMUmff9fJyit9VtFDu532Jfc2+G/e/3PdHMrvRw9TD1hANlGvKosbH0xsu/Gm81YPled/Y\nFu0Ot6e0pXPGIzrIUpQYxQ5+BkVR4hc7aFhApa2dTif5+fnuQq+HDx+msLCQgQMHMm7cOOrrA0+Q\npihKeHCSFNTDzqiGKUr0YQf9CmiQ9fDDD5OXl0eCudS3pKSEwsJCduzYwdixYykpKYloJxXFyj0s\n9PKBNecJpvEE0zqwRx2Pk8SgHnZGNUyJNl7hMl7hshY/+zNFzVIvxCN20K82h4d79uyhvLycu+66\niwcffBCAsrIy1q9fD0BxcTEFBQXxJVKrDSE+9isjRi7+JfFE7TLz0Nxmll4wKA7b6d852/ADHMIo\njSOlKlK84vtSVkJytgjiFzvX9GJ1s5Tu8eSp8hzrFzzifi3J+8RvIB6FtuLxcnwptyH+KMmHJbnF\nrKWJxGsh7YGg/FQtTTdLWYpwIfmy7mMO4PnZdbPk+pIcPikWH4bkzQq3UMSy8HQkdtMw670q95ro\nmOSmqndlRawP4qUSr9QOM8eg1Rt1wp1HT0qLdTW3nebnhufKWhJmgJnDsBcw2NRH8NSfFf+U6E5b\n+iXluZ5kJgAX8RYA1WS523zIuYDn/4BonWiYnPMTBvEdtrZ6Pm/k/4n00er9DBXxtkptS0Fmhxrb\nWBwgOhOJ0J4dNKzNQdYdd9zBfffdx9GjR93v1dXV4XA4AHA4HNTV1UWuh4qitIgdBCocqIYpSnRi\nBw1rNVz48ssvk5aWRn5+Pi6Xq8U2CQkJ7in4WOcycwJXaR27TGVHklKmUMqUkI7RRGJQDztiJw3b\nS2/2mrPfin+2ksdWc6W40j7kf0Co/wdC1a+KigoGDx5MTk4Oy5Yta7HNnDlzyMnJYfjw4WzdujWo\nfcNBqzNZGzZsoKysjPLycr7++muOHj3KTTfdhMPh4MCBA/Tp04f9+/eTlpbm9xiLFi1yvy4oKKCg\noCBcfY8YZ8w1yrHI1LakQZDpYAmh9bKE6sKF1NZ6k5+b5/GUh2mrvMKj5nS3hAjkj/MY3QMqzeAu\nFWGGvKylY7K8pua9sR77N9wFQA/zZyg/MykxI9ckYYDjdOc2nmyzf8LdGKEdCQ+AJ7wKnhJJ4UTC\nqhI2lFCHNeQhyLS//A7qcJjvN/Bx1Rf8q+oLqlnU7v7Eshm0owhVw2JRvyTEJfee6JhYDK7hBcC3\nDFi4kXCZlAyT+76BZN9yPRbki4f0vR+eUmKBhOCsqWNEx97iYgDy/RzjXhabzwazzBDbf5pWAfDc\nzzXmz1dSNUggch993aWNAuEKM0QpWultM1jIQwEfJ1CkbxI2tM4iWUufWRG96c4xPqo6yEdVxv+/\njzpJw5xOJ7fffjuVlZWkp6czatQoioqKyM3NdbcpLy9n165d7Ny5k02bNjF79oZ9euYAACAASURB\nVGw2btwY0L7hotUrXLJkCUuWLAFg/fr13H///axcuZL58+dTWlrKggULKC0tZdKkSX6P4S1SiqIY\n5BakkVuQRrEpUPfcc0/Qx7DDVHuohKphql+K0pwhBb0ZUmB8qb2WRe3SLwhNwzZv3kx2djZZWVkA\nTJ06lbVr1/oMlMrKyiguNvzSo0ePpr6+ngMHDlBdXd3mvuEioNWFgkypL1y4kHXr1jFw4EDeeOMN\nFi70v8pLUZTIoKsLg0c1TFGih1D0a+/evWRmepJqZ2RksHfv3oDa7Nu3r819w0XAc3WXXHIJl1xy\nCQA9e/aksrIyIh2KVSRsFYkwlaK0hF19Vu1FNawVak1PWmbLvjVFiQStadj/VR3io6rDfj8P1Efp\nz4vZUaipwwuJic9JMbw31lI1Eu8voAqADxkGNC/5EC4C8VBZEV+TDPqSCW7gdwvPtvh+CXcAnjQF\nbSEeByt/NMtteC8b/k+eDrh/VjpjUCveLPmZCOLRkGuzerTk78iadqO9qCdL8WY5PwU8Hix5Fu+o\nlKASj+mTJ0z/5qGzI9Yna8mwtpD0LZI/6hC93N6lQPCnX6I74p9si8f5mfnqZ80+28dFPtvJNLTq\nM2sLf1oZKcSbJaZ1a7kvf14tT5qNwOpBBkJrGpZb4CC3wOHefv6eXT6fp6enU1tb696ura0lIyOj\n1TZ79uwhIyODb775ps19w0VQ4UJFUaIHDRcqihLLhKJfI0eOZOfOndTU1NDY2MiaNWsoKvJd7VhU\nVMSzzxoD740bN5KamorD4Qho33ChX4UVJUbRgZOiKLFMKBqWlJTEihUrGD9+PE6nkxkzZpCbm8vj\njxsrQmfNmsXEiRMpLy8nOzub008/naeffrrVfSOBDrKAOdxnvsrqzG4oSlCoJ0sB77B1YKF8RYkW\nQtWwCRMmMGHCBJ/3Zs2a5bO9YsWKgPeNBDrI8qKvWS5BvFhSEuIhU8TuMHOXSMmITYwGPF6taCLc\nXqVw5W25mefCcpxoQH4m3rm6oHnpkC/M/Fji+QvU19YW6slSvHnylOGxuuC0TYAn19QAdgOeklvy\n93lPyt0AbEwZ4T7Gdzqmq20SjA8rEMKpO6H4r6IJKbcj3qy2ZpVEb5IsHq5QsIOGqSdLUWKUcHiy\nIpEx+fDhwxQWFjJw4EDGjRtHfX19S4dVFMXm2MFTqoMsRYlRQh1kSdbjiooKtm/fzqpVq/j44499\n2nhnTP7DH/7A7Nmz29y3pKSEwsJCduzYwdixY+Om8LKiKOHFDoOs+J+rCwBZolpDfwAuNqeDl/Ar\nAG7lMcBT+f3vjAdgNwMAz5JoxZ5IaPb3TAegzlwq30hXwBMelBQPEo4OlVCFJ1IZk8vKyli/fj0A\nxcXFFBQU6EArgsjf15jTNgBQi5FkMYWTgOfv0cEXAGxlhM9+xzij4zqrRB0SNlzNVYDHJyVhQU/q\nhq4+n4eD/9/evUdHVZ2NH/+GXChUKiSYgSTYUEJIgiB3FC+NxZACNeVWbi7g5fa2S3kVrQrqryq+\nAqG2tVq0tV4wtTVEbTV5GxpNhOAFFAWs1lCIkNiBXFghpJVCiQzz++OcPZckk2SSmcw5c57PWrMm\nc+bMzD7JzJM9Zz/72WbuPHWWnMkSwqS6u0B0sCom19fXY7NpeWg2m436+sB0KoUQ4cUKC9zLmSwh\nTKqjpNHPy09wtNz3UhGBrJjsdDrbfL6IiIhOv44QwlqskPge/kfYw9ajLZSZy4MhbokIdx2dah+a\neTlDMy933X5zw0de9weyYvLx48dJTEwEtLNXdXV1DBo0iNraWuLj4/0/OBESJdzg+tnfau1C+MsK\nw4XSyQLKmArA33ZOBODNj/XKr9oi4/xwqVbc7Ae8ArinRqtcri/pB7in6AtrUssDqZIOKjfGpudg\nqfdJZoD+eXU3QHlWPU5ISKCgoID8/HyvfXJycti6dSsLFy70qpgcFxfn87E5OTnk5eWxbt068vLy\nmDVrVrfaKdqnlvUagtbpVcvoVJABuN93Km6pXC1VysGOuyOeoJexEdazkNcAz+V2tFysc/pSRFH6\n/zfJyfKPdLKEMKnzeiJqVwWrYvL69euZP38+zz33HMnJybz88svdO1AhRFjqbgwzA0t3su7iEf2n\n7IA/96PcBrgXExYi0ALxLTAYFZNjY2MpKwtsMUnRWqlroeKlQXl+NdtMneEQItDkTJZF/O1ubZhw\n6qPFALz1/kztjr9rV997Xv+HkaZdzZ2iVQ9Wld7P66uSq+FCdbpeWJMq6aA68WpY5hL9/aKGa7rL\nCgFKdOw+NgKQ9vkX2oZ/a1e7rrwagPv1++P1Eg5q+LqtFQh661Xh6/VVCoT1qJIOu5gCuIcL1TBh\nIJPVrRDDpJMlhElZIUAJIcKXFWKYdLKEMCkz144RQggrxDBLdrJW6cM5PbFm/fPcDITXwsjCGKxQ\nY0a05s7F6hl/YB4AN/Nqj76uCH9WiGHhf4Tt2MM12g9LtKvNrAcg6r67AdjI/YB7Kr7KwUqmCnAv\nM6ByG2L0ZVPU7T4Byr0R5qSWWzqr5zQo6v0EeEye958VTrUL307qeVNqObC+KW8A7vdFZuNeAEou\n/S4A5ZGZAPTR45N6X6qcQYDT+ldPlWeqllYR1qPeHy1nAAYy7lghhlm6kyWEmVkhQAkhwpcVYph0\nsoQwKSvkMwghwpcVYph0snqI5GZ1T45ebb+Pa9r5ANd9b+gViq3GCvkMwjj+xAwA5rAjxC0xJ1US\nQQ2/qYrqAFm8E5I2hZoVYlj4H2EbVG7V3gPaOl1xY7RFdP+oJ3j+D78CYIO+/uBZ+gBwSl9n5yPG\nA+58BbW8jsptUNeq5kyDWp9HWIqqL6PeHypX73OGufa5phvPb4VT7aK1gXodvqz97wLwzHgtqVQt\nr3NUf381xVYA7vefqpOl6rQ163FQLbujbdM6AC1jW4wey4R1qPiiOoPqvRHI94IVYpglO1lChAMr\nBCghRPiyQgyTTlYPq9K/bQ6VhVg7RS3tAYt97pOtVyj2XKD7NRa6ljby/OZ1O08HvpEhYoUAJYxH\nhg39U4I2YtLeKn3F3Oia0Qna7zaPBYB75EVtDydWiGGW7GSpYbzx494DYAp7APfUevXP+ksuAdyn\nScdwEHC/6dUbxNd0Z3X6Xu13I7KeW1ep8hhquroqj+BZDsFoPIMjuJdbavYIpt1hhaRR0drYvx4C\n4MPxVwDuLxGniAPceYvq/aHikJqSn6B/wYt0DQm6c4MipWRD0JxvUfJH/d9oNugiyep9pJZYUv/H\nAplHZYUYZslOlhDhwApJo0KI8GWFGNarvTv/85//MHnyZMaMGUNGRgb33nsvAI2NjWRlZZGamsq0\nadNoampq72mEEEHgINKvixVJDBPCuIIVvzr7+S4pKSEtLY3hw4ezZcuWVvf//Oc/p1evXjQ2Nnbp\n+KCDTtbXvvY1du3axccff8wnn3zCrl27ePfdd8nNzSUrK4sjR44wdepUcnNzu9wAIdryPDe7yl50\nxeP8sM3tT7LK6wKQyx2ui5lIJ6tjEsNEqBRzI8Xc2KXHvuKjLM2fmEEJN7gual91MZtgxa/OfL4d\nDgdr1qyhpKSEiooK8vPzOXTokOt+u91OaWkp3/zmN7t1jB2eq+vbVxvHb25uxuFwMGDAAIqKiti9\nezcAy5YtIzMz01RBSk1lvon/89quxsjriQfcY+Uq72fC2f0AXPNv7Vrlrjv1tKCjsUn647Ux7FQO\nu557op5DJPxzmBEAxNHgtX0IdgD6c9q1TU1t79Mi58EzIb4nxVMPuEt/NNGfhbwWsOe3Qj5DIIRb\nDPvsSq1Eg8pPVPFJLbOjSsionEB1W+Vmqc+D53I6LbXMzXIQxQ/0CSbCPypXTsWD8x3kZKohNJXj\nq657+vOu4pY7d88R8DqPwTqmzny+9+3bR0pKCsnJyQAsXLiQwsJC0tPTAbjzzjv56U9/yve///1u\ntaXdM1kAFy9eZMyYMdhsNm644QZGjhxJfX09Npv2gbbZbNTX13erEUII/zmI8utiVRLDhDCmYMWv\nzny+T5w4wZAh7olTSUlJnDih1cwsLCwkKSmJ0aNHd+PoNB22vFevXnz88cf885//JDs7m127dnnd\nHxERQURERLcbIoTwj1WHAP0lMUwIY2ovhp0u/4TT5b5HgLKysqirq2u1fePGjV63fX2+fX3mz507\nx6ZNmygtLXVtczqdPtvRkU53Dy+99FJmzpzJ/v37sdls1NXVMWjQIGpra4mPj/f5uIceesj1c2Zm\nJpmZmV1urAh/f9Cr7rdfVSZwHuEurw/BL7gVgDt5MqivW15eTnl5ebeeQzpZ/ulKDJP4Jfyl6oj1\nRAR7lNtI9rit8rS+y6429w+UQMQvaD+GfSNzLN/IHOu6XbUh3+t+z05QS535fCcmJmK321237XY7\nSUlJHD16lOrqaq688koAjh8/zvjx49m3b1+7fR1fIpztdNEaGhqIioqif//+nDt3juzsbB588EHe\neOMN4uLiWLduHbm5uTQ1NbWZzxAREdGtHmCwqCJvQ6kG4CMmAO7lc67R62b9Q891eJNsAF56aQUA\n0xZruQlvvK2N1f57sjbq+vWTF90vMsR4x20G7k6WRuUDvMN1gHsJEJVP51lzSo3ve55abi+H4BHu\nAmCAnpty3iMsBqKTpYItdFxE0N/PSkREBNc63/SrPe9GTDPk5zGYuhPDjBq/lvIMAJP5AHDXkFN5\ni+r93zInq0CPe6rGXAqfA945Qp5rgkoOVtd4fu7BndurcuHU30vVJ1N/L8/ljZT2/gaq2PIEPgK8\n41cgOlmeE486ysXqymfF3xjmT/y65557Ovx8X7hwgREjRvDWW2+RkJDApEmTyM/Pd+VkKUOHDmX/\n/v3ExsZ2uq2e2j2TVVtby7Jly7h48SIXL15kyZIlTJ06lbFjxzJ//nyee+45kpOTefnll7v04kKI\nrrNynlVnSQwTwriCFcPWr1/f5ue7pqaG1atXU1xcTFRUFFu3biU7OxuHw8HKlStbdbDA97BiZ7V7\nhKNGjeLAgQOttsfGxlJWZr7q5e4lWgJTcVsEzgbWA5AS4naYiQwXdiycYpgqOQKTQ9oO0bZS/Ww7\nbZyREm0LVgzz9flOSEiguLjYdXv69OlMnz693ec6duxYt9piya/C/1VQAIAzWeuh7pk8BYDe+mlc\nddp2vz6MqIYTxy/WluE5RRwfcQ1cr526LFCnVYd0fFpVtE+d8n6DaQCkcBSADCoAGM9+175XcZBn\nWOr1+NX8rtOv9f/4Wbfa2pFgrzMWzE5WY2MjCxYs4IsvvnB9E+zfv3+r/UpKSli7di0Oh4NVq1ax\nbt06AF555RUeeugh/v73v/Phhx8ybtw4AKqrq0lPTyctLQ2Aq6++mqeeeipoxxGOXnxzNQAzpmnv\nL/U+6Ms5wD1M2IT291JD6iP0kjLNxPAjtrmer0hPhwAZIgwENTyo/g4VZADuGNbPYy3VG9jjGl6M\n5IJfMeNunghIe33pif9lVvii2GEJByGEMQWzGGl3i/mNGjWK1157jeuvv77V41JSUjh48CAHDx6U\nDpYQFmaFYsrSyRLCpC4Q6dfFH0VFRSxbtgzQivm9/vrrrfbxLOYXHR3tKuYHkJaWRmpqavcPUggR\ntoIVv4zEEsOFajahMdc6tya17M0E1/Bf15afsLJgJr53tZjfBx980OFzV1VVMXbsWC699FIeeeQR\nrr322sA1PAztYor+U0ZI2yG8qWHWOH2lCfTZ6aLzrDB5J/yP0INreZU39A13aleqTIBadiJTn/6q\nts/Qx8lrGOzxbNe4fpI8rO47qS9l1FvPV1D5JepvUI+Nh9nY6nH+5GCFm45OoZ8t/5Cz5R/5vD9Y\nxfzak5CQgN1uZ8CAARw4cIBZs2bx2Wef0a+fJAt3ROUj/te03wBg05dpaTn1X31mVE6Qep+oZV1a\nynEFRNEdavkbVTJDlWhQeaXN9G5zWa1g524amZmHATvLUp0sIcJJRwGqd+ZV9M68ynW7ccNvvO4P\nVjG/9sTExBAToyVijxs3jmHDhlFZWelKjBdCWIcVOlmSkyV61CeM4BN90WfRPcHMycrJySEvLw+A\nvLw8Zs2a1WqfCRMmUFlZSXV1Nc3NzRQUFJCTk9NqP88Cgg0NDTgc2jf+Y8eOUVlZybe+9S2/2iZE\nKB0kg4MydBsQkpMVJkbrFY6r9AUIbnr+FQB2cTXgPr1+GC1R9xx99e3a6d7J7AM8hhsBWBbUNoe7\nn3E34J5efnLx5QDc9JL2t1nMSwBUey0aITwFM5+hu8X8XnvtNW677TYaGhqYOXMmY8eO5S9/+Qu7\nd+/mwQcfJDo6ml69evH000+3WRpCuN1QuxeAPw3W6vks1YfI39NztdSKBUOwez1OlXDoo8ctNXwo\nAmPqea0OU1NvrUr+fsYDcFb//6H+Hk36/xfRmuRkCSEMK5in2rtbzG/27NnMnj271fa5c+cyd+7c\nwDZWCGFKVhgulE6WECZlhQAlhAhfVohh0smyiGT+DrgXxQbYxXd7rgEP6jPRNkjtpEBxXAz/ACUE\nwG9YDngPic6kZ5dFek9f+aNvj75qeLNCDLNEJyv1vLacRE3vBK/tD7ABgDt4DHCXDVBTndXU23f0\nNanU6vWi69T05ke4H4A/Mg+Awy9p2w8zgsOMBn4QkvaZyYUL4R+gBBQPngqAHa0mmYpTZ/TSDSrn\nVH22VO6VKotyioFe20X37NFz4Q72Huu1/UaPTt/lPsplCG9WiGGW6GQJEY4cF+TjK4QwLyvEsPA/\nQiHClMMC3wKFEOHLCjEsrDtZahx/SYjbYVTz9Er1r3Kzz31+yOOun5/mdrajzRj7lFGu7Rt5uPUD\nx2o5WLMP5gO0UedYdJcVApSV/YkZgCwH5ota1qa9ivVvM9n18/V8wC+4FYDZHhFpKDWtHlelr/7R\nQJzHVvlLBJoVYlhYd7KU8t43ADCz9i0A7IO13IYCfU1DVatD5Two7jonWr2ZU8SxXs/fMptq0gDI\n0fM3Ymju0dePSNQKUsbzDwAyqAAgWw+QU9hj2t9tqFz4KvwDlIAdemdrlt4xULmiRxkGuHOxVD0s\ntTSV2n5e7xycpS8/oKiHWh1YP2IbAMX6GqehmJW2Tf/SPoU9gPb/AGAEWs7vx4yRJYr8ZIUYZolO\nlhDh6KJDPr5CCPOyQgwLyyNUw4Sic+7iETI45Lrt74LXz7CU19CWXUmgFoBnA9c84YsFTrVbUQk3\n6D/1CWk7zKJUn/2tZPGOX49voJ9r1Y839CHIye09QASOBWJYWHayFHX63DUMeEq7mjJYO91boa8/\n9QGTAPi4cQwAr8ZqZQVGcASAYRw17Wn2ltSSD+p6DAfb3b/lUh0T+AhwLzFUj63Nx234WLv+BXcC\n8MrCRQAc1oc4AEbyOfRkra5wY4EAJWCqXhpAfRFSy30tcbwIwP5IbTkXtRzYQD3QqSG1gTRwgz7E\nZXZf6mUrYvQh0Y7KUvhKAVHpEmpotaVv/U7L0xqz9H3Xtlm8DsD1vO3altIiPgo/WSCGhXUnS4iw\ndiEi1C0QQoius0AMk06WEGZ1IdQNEEKIbrBADJNOlsmpEgs2Trq2PczGVvs9oFdYR69W3J5nWOox\nTDjetb2BfqDPtBQGYIEAJcLbK+S02tZWaoZ7v46Hl/JYwEk9jcFzjY/tzLbASnkmY4EYFpadLDXe\nrpafUOPy71+h5VypcfgEvT5KFckANG//BgA/ueJnrudyXh/89vYkVd/qOj05VOWdjeITAD7Ge6mI\npWh5HyoH61V9GZwLerhSv9uZ7ABgzUQt5T3VqSWjvgTaMjnar5aRgT0ca7NAgLKiluUJ1Hqjjhaf\nuchI7Q2gcktVfuR1HjlD/iaBG536HaiyO816eQqVm6ViuaKWSFNLC73EYgD6cxqAHczUnycGgCdn\n/lh7vuIbXc/hXiPxKv06NxCHIsASMaxXqBsghOiir/y8CCGEkQQpfjU2NpKVlUVqairTpk2jqamp\nzf1KSkpIS0tj+PDhbNmyxbV93759TJo0ibFjxzJx4kQ+/PBD/49NJ50sIczK4edFCCGMJEjxKzc3\nl6ysLI4cOcLUqVPJzW199tHhcLBmzRpKSkqoqKggPz+fQ4e0Gbz33HMP//u//8vBgwd5+OGHueee\ne7p8iGE5XGh1t/ILRrWq7J4csvaIILHAqXZhPX9gnisdobcevySXKkwFKYYVFRWxe/duAJYtW0Zm\nZmarjta+fftISUkhOTkZgIULF1JYWEh6ejqDBw/mn//8JwBNTU0kJiZ2uS1h2ckaSAPgromixtv3\n6EnfOXpipVraZYmed3T3Le5cLLPUP1G5CC2X2GhJFdtTx6weZ9NzFmpJIIc3mNjicaow4nf3lwOw\nftMvAfj8j0kAXHVRqyPTu5cWDP/nw0d5gruB0d05LNEZ0skKS+ozrPIgVRxTHQ9VJ0vlJQ3Wc0sb\n9LyjPVzDgybJG1LHonKrfC2Xo+KViuVqqSC15FkT/bmZV2mZQruB9YC7vp96HlVT7DaeANz/G/5Q\nPJebeVXP1BJBF6QYVl9fj82m5SjabDbq6+tb7XPixAmGDHHXUUtKSuKDDz4AtDNh1157LXfddRcX\nL15k7969XW5LWHayhLAE6WQJIcysvRj213L4pNzn3VlZWdTV1bXavnGj9+z6iIgIIiJa1+Nqa5uy\ncuVKnnjiCWbPns0rr7zCihUrKC0tbaexvnXYybLb7SxdupSTJ08SERHBf//3f3PbbbfR2NjIggUL\n+OKLL0hOTubll1+mf3+Z3m92qtSDmnmZHMK2iA5IJ6tDEr+sRZV6aHKVmknwvbMIvfZi2MhM7aL8\nfoPX3e11emw2G3V1dQwaNIja2lri4+Nb7ZOYmIjd7h6xstvtJCVpIzT79u2jrEybVTpv3jxWrVrV\n4aH40mEnKzo6mscee4wxY8Zw5swZxo8fT1ZWFtu2bSMrK4t77rmHLVu2kJub22ZyWSioJWPUaXdV\nrkCtoq62q1PHibX6ejvveTzJvB5oaAConIWDeumFebwKuH8HaphQDTncxP8B7mNXp919Uafnnxm/\nBIDJf/zAdd9oDtPgmjpxd3cOQ3SFdLI6ZMb4pZaOUUP5SjVDAThFHOD+DL+jD5I99vm97p1TjHEs\nHXG0+BekckhjXPdrw4dn9XUce7dYDkcNqfqygxmAO44toMB1n7s0A/pvVvS4IMWwnJwc8vLyWLdu\nHXl5ecyaNavVPhMmTKCyspLq6moSEhIoKCggPz8fgJSUFHbv3s23v/1tdu7cSWpqapfb0mEna9Cg\nQQwaNAiASy65hPT0dE6cONGpxDIhRBBJJ6tDEr+EMLAgxbD169czf/58nnvuOdeZaoCamhpWr15N\ncXExUVFRbN26lezsbBwOBytXriQ9PR2A3/72t9x6662cP3+ePn368Nvf/rbLbfErJ6u6upqDBw8y\nefLkTiWWCSGCKIi1rzo7nFZSUsLatWtxOBysWrWKdevWAfCTn/yEoqIiIiIiiIuL44UXXnAlmW7e\nvJnnn3+eyMhInnjiCaZNmxa8A/Eg8UsIgwlSDIuNjXUN93lKSEiguLjYdXv69OlMnz691X4TJkxw\nJcF3V6c7WWfOnGHu3Lk8/vjj9OvXz+s+X4llAA899JDr58zMTDIzM7vU0J72OD8E4HaeDnFLeo52\nzAND3QxLKC8vp7y8vHtPEsTaV6rOTHvDaarOTFlZGYmJiUycOJGcnBzS09NddWYAfvWrX7Fhwwae\nffZZKioqKCgooKKighMnTnDjjTdy5MgRevUKbsk+q8WvPBYAsMxjeCzc5bFAT5IQwRaQ+AWWqN/X\nqU7WV199xdy5c1myZIlrbLMziWXgHaR6iipToHIb1NIKahxfbT+tJ0eeHqyN978xLxuAeto+FiPa\nyMMAROoJ6ypHQV23nA6u8jgUleugEkXV/uf1HAaV29WPL1nIa8E5CAtq+Q97w4YNvnf2JYjDhd2t\nM+PZkTlz5gwDB2qd98LCQhYtWkR0dDTJycmkpKSwb98+rrrqKoLFbPErhc8B92dPXZ/U45KKW+9w\nndf1H1LmAu5SD2ag1iksQou9KifLVymHltvdvyMtjh1Gy50ZoMex5Wxz7fsjj59F9wQkfoElUh46\n/ProdDpZuXIlGRkZrF271rVdJZYBPhPLhBBBdMHPix+6WmfmxIkTrtv3338/l19+OS+88AL33qsl\nZdfU1Lhm8LT1mECT+CWEgQUpfhlJh2ey3nvvPX7/+98zevRoxo7VZrBt3rzZZ2KZEKKHdBR4DpfD\nkXKfdwezzox6no0bN5Kbm8vatWvZtq3tMwkdPU93SPwSwsBM3HnqrA47Wddeey0XL15s8762EsuM\nQA0PDvyXVhbf/o3BgLsysjrlbOOkdj9DvB5v46TphsbUMJ8aEu3jGi7UVpvvxxkA4tDKVXzJJV6P\nP+fKZmh2bZPT6wbXUYAalqldlD/3XJ0ZT4sXL2bGjBltPub48ePdWrKiI2aMX2oITA3xq0ruaqhf\nDReqobXJaAm6tzZvdT1HU8ygnmlsgLRM7Yhs8eZu9lFqRsU7FdOHUu2672a9nI0wMAt0smSBaCHM\nKojDhZ0ZTvOsM9Pc3ExBQQE5OVoxyMrKStd+hYWFrrNIOTk5bN++nebmZqqqqqisrGTSpEn+NU4I\nER5kuFAIYVhBDDzdrTNz7733cvjwYSIjIxk2bBi//vWvAcjIyGD+/PlkZGQQFRXFU089FdThQiGE\ngZm489RZ0skSwqyCWCeru3VmXn3V91DNfffdx3333ReYhgohzCuIMcwowrqTFVWlXZ+/UitHoJZk\nqEebNaXW51PlC1qWNzAT1XaVm9CXc4A7V8vTRD7lGZa6bq/mdz3QQhFwFqgxY0UqF0vlZrnX4VP3\nn/O6rZbKssd45pb+IHgNDILDjADcuVlqGTBVSkYdcyQOvssu1xqF4C4D6oAN7QAAGEZJREFUIUzI\nAjEsrDtZQoQ1C5xqF0KEMQvEMOlkCWFWFghQQogwZoEYJp0sIczKAgFKCBHGLBDDwrKTVUsCAIPq\ntTpZqgZUjb5djfNH6gPCKo8p0sQDxM36MfXRcxdUjtYpBvJddrXaX/KwwoAFkkatSNXFOkUc4I5X\nKl9JaZmHmc0bHveaKycrjgYAPmAy4M6XjcJBjtdxaSQPK0xYIIaFZSdLCEsw73cCIYSwRAyTTpbJ\nbWA9gP7dV1iKBU61i/DmniU4OKTtECFigRgWlp2sYY6jADRM05aOUafZ1bV7KE07Ha+GCVtOlTaT\nBgbyILnksQCAeuJZRkGIWyWCygIByopW81sAUtDiWKY+3K+WxlJLYqnyLDH60jLnfSw9YwYJ1PID\nirifBwBt2HAjD4e4VSLoLBDDwrKTJYQlWCCfQQgRxiwQw6STJYRZWSCfQQgRxiwQw8Kqk/ULbgVg\nVQCe61FuA+BungjAswkRBBY41W4lRWTrPz3S7efazmwAFvJat59LiKCxQAwLq06W8o33tOVz/nWN\ndjshUpsOrJZqOEcfABr0nKxmPZdBlUFQy1mYgY16r9tmXhpI+MkCAcqKEqgFwI62TM5JfRkwVYpG\n5ZYO03O2TunTXlSOllqWx4zaWgZMhDELxLCw7GQJYQkWyGcQQoQxC8Qw6WQJYVYWyGcQQoQxC8Qw\n6WQJYVYWONUuhAhjFohhYdXJUnWv/nWNllv1jU1abpbjJ6cAd76Sysk6o+c2XNCXpVBiOM/tPB38\nBgfAj9gW6iaIULFAgLKSMm4E4C4eBeBTRgMQqf+hjzACcMerDCoA+IjxgDuXq4n+3MmTPdTq7mm5\nPI7kZFlMkGJYY2MjCxYs4IsvviA5OZmXX36Z/v1b18FcsWIFxcXFxMfH8+mnn7q233333fz5z38m\nJiaGYcOGsW3bNi699NIutaVXl49CCBFaX/l5EUIIIwlS/MrNzSUrK4sjR44wdepUcnNz29xv+fLl\nlJSUtNo+bdo0PvvsM/7617+SmprK5s2b/WuAh7DoZN1BLnfQ9i9RiLDl8PMiDCmi5jwRNedD3Qwh\nel6Q4ldRURHLli0DYNmyZbz++utt7nfdddcxYMCAVtuzsrLo1UvrHk2ePJnjx4/71wAPYTVcqJbH\neS1yFgA5P/k/AA7rp9lbTm1WU6FVyQZHi2FDM6pmaKibIHqKDBeGlR3MAKCImwC4lacAd1xSw4Rq\nuR0V76L0azOXblCkBI3FBCmG1dfXY7NppU9sNhv19fUdPMK3559/nkWLFnX58WHVyRLCUqSTJYQw\ns/Zi2D/L4V/lPu/Oysqirq6u1faNGzd63Y6IiCAiIqJLzdu4cSMxMTEsXry4S48H6WQJYV6SZyWE\nMLP2YljfTO2iHN/gdXdpaanPh9psNurq6hg0aBC1tbXEx8f73bQXXniBHTt28NZbb/n9WE9hkZMl\nhCVJTpYQwsyCFL9ycnLIy8sDIC8vj1mzZvn1+JKSEh599FEKCwv52te+5t+LtxDhdDqd3XqG9p48\nIoIgPn0rT+qrFqppwNtYDsBbO2YC8MsZPwTcy1SoZSs88wCe5M6eaawQHvz9rERERMAoPz9bn3b+\nNTo7BbqkpIS1a9ficDhYtWoV69at87r/5z//OXfffTcNDQ3ExsZSXV1Neno6aWlpAFx99dU89dRT\n/h1HD+np+DWW971u/4SHASjnBgDi0ErRjOITwF3ioT+nXY8xS+kZEV668lnxO4b5Gb/mz5/PP/7x\nD6/4VVNTw+rVqykuLgZg0aJF7N69m1OnThEfH8/DDz/M8uXLGT58OM3NzcTGxgLdi1MyXCiEWQUx\nJ0tNgb7nnnvYsmULubm5raZBOxwO1qxZQ1lZGYmJiUycOJGcnBzS09MBsNvtlJaW8s1vftPrcSkp\nKRw8eDB4jRdCmEOQYlhsbCxlZWWttickJLg6WAD5+fltPr6ysjJgbelwuHDFihXYbDZGjRrl2tbY\n2EhWVhapqalMmzaNpqaeLSB3Pw9wPw+wnN+4LkJYThDrZHVmCvS+fftISUkhOTmZ6OhoFi5cSGFh\noev+O++8k5/+9Kf+H1cAGTF+/YkZ/IkZ7GKK6yKEJVmgzl+Hnay2inV1ttBXT7uVZ7mVZ7mZV7mZ\nVyljJmXMhGeBZ+EdrucdrqeBOBqIYwh2hmBnMS+5LkKYRhBzsjozBfrEiRMMGTLEdTspKYkTJ04A\nUFhYSFJSEqNHj271uKqqKsaOHUtmZibvvvuufw3zk5ni10Gu8rrMYQdz2MEOZrCDGSRQQwI1fEk/\n/XIJX3KJHsWGuNIfhDANC+SUdjhceN1111FdXe21raioiN27dwPat9zMzEzDBCohLKOjU+3/KYfz\n5T7v7u4UaF/Tos+dO8emTZu8Zv+oXIqEhATsdjsDBgzgwIEDzJo1i88++4x+/fp1cDBdI/FLCAOz\nQBmaLuVkBbLQlxCiizoKUFGZ2kX5V2CnQCcmJmK321237XY7SUlJHD16lOrqaq688koAjh8/zvjx\n49m3bx/x8fHExGhri44bN45hw4ZRWVnJuHHjOjiYwJH4JYRBSCerY90p9OWvXO7Qf2r9rfdJVvGs\nPruwojEDgFGxasHHa3qgdUL0sCDmKagp0OvWrfM5BXrChAlUVlZSXV1NQkICBQUF5Ofnk56e7tVx\nGTp0KPv37yc2NpaGhgYGDBhAZGQkx44do7Kykm9961vBO5AO9GT8KiJb/6n1yhLF3OiaFZ1ADQA/\n4y793uxW+wsRFkyca9VZXepk+VPo66GHHnL9nJmZSWZmZlde0otaDieTXQCcaaPT5WWNdtUbbX2w\nAXowU6vYD+PzbrdJCH+Ul5dTXl7evScJYp7C+vXrmT9/Ps8995xrCjTgNQU6KiqKrVu3kp2djcPh\nYOXKla6ZhZ48OzFvv/02DzzwANHR0fTq1Yunn366zdIQwRTq+DUEu9dtVVLGl6MVI7UftO+Orvil\nltdpomd/f0IEJH6BqXOtOqtLnazOfMtVPIOUEELT8h/2hg0bfO/sSxBPtXd2CvT06dOZPn16u891\n7Ngx189z5sxhzpw5gWtoF0j8EqJ7AhK/wBLDhR3OLly0aBFTpkzh8OHDDBkyhG3btrF+/XpKS0tJ\nTU1l586drF+/vifaKoTwdMHPiwVJ/BLCwCwQvzo8k+WrWFdb33KDRVVybysXSwjLskA+Q3cZIX69\nQg4AvXvsFYUwCQvEMFNVfI9sMYDb3CJs/RfbAEiJ1XIVYvQcLL6jXX3AZMCdEzEKLTH+kEp2AAYF\ntslCBI8F8hnCSR/OAq3jlkp0j+ckAJH61/afnr8bgBkZO/Tt3n/wZKqD1lYheoQFYpipOllCCA89\nt6yeEEIEngViWIc5WUIIIYQQwn+mOJPVh3MAXMKXgLuEg7pWp9vP0tdr+wQOAzDk7HEAKvpqw4K9\naQagjBsBOEWc67VuCNIxCCGsqT+nvW6fpY/X7TgaAHDo9bOa0Yq1nuutxTM1LFhNMgD1eskHFbdk\n2FAI45IzWUIIIYQQQWCKM1lCiLZYYGqOECKMhX8Mk06WEKZl4uIxQghhgRhmik7Wl1wC4Frby0a9\nvl3Lveqn52opaqqz2r/3v7Xttr4nvfY7iXs5jVweDHCrhQi28P8WGA5UDqjKuVJx67xeykEtj6O4\n79dys9SyOepa5WJ5Xkv8EuYU/jHMFJ0sIURbwv9boBAinIV/DJNOlhCmFf7fAoUQ4Sz8Y5hhO1mP\n88NQN0EIgwv/AGVmRWQD6IN8QojWwj+GGbaT5enLNtYsvJ2neZTbAHd9rL76shUxeg6E2v6vWO32\njWjrlbVcXkcIczoX6gaITlC5WKc9ultz2MF7TADccUrVx1K3VW6pyulSt+M41QOtFqInhH8MM0Un\nSwjRlvDPZxBChLPwj2Gm7WRpw4myrr2wsvA/1R6uSrlOP18lhJWFfwwzbMX3fpzxuHzpKtNwO0+7\n9jlPDOeJoYn+NNGfs/R1nWoHbfmKs/ShIjKDisgMBladYWDVGZKpJplqhmB3XYQwnwt+XkRPukAk\nF4ikHhv12GimN3PY4YplLWPPl3qkcxCJg0jO0Ydz9HFt76tHuP6cpj+nJX6JMBCc+NXY2EhWVhap\nqalMmzaNpqamNvdbsWIFNpuNUaNGtbrvV7/6Fenp6VxxxRWsW7fOr9f3ZNhOlhCiI1/5eRFCCCMJ\nTvzKzc0lKyuLI0eOMHXqVHJzc9vcb/ny5ZSUlLTavmvXLoqKivjkk0/429/+xl133eXX63uSTpYQ\npiVnsoQQZhac+FVUVMSyZcsAWLZsGa+//nqb+1133XUMGDCg1fZf//rX3HvvvURHRwNw2WWX+fX6\nnkzXyfoNy0PdBCEMQs5kmc0upoS6CUIYSHDiV319PTabDQCbzUZ9fb1fj6+srOTtt9/mqquuIjMz\nk48++sivx3sybOK7WkoH4JyeZ+VaJkef0nxKT3xXy02oKc6qlMO5FlOj1VNG6r3iPvp+QpiTnJ0y\nMhWnVM7UGb0UTW9XiZk+XtcqfqnbqnRNE97ftNVyOqo0hBDm1V4M+6t+aVtWVhZ1dXWttm/cuNHr\ndkREBBEREf616sIFTp8+zfvvv8+HH37I/PnzOXbsmF/PoRi2kyWE6IicnRJCmFl7MSxDvygvet1b\nWlrq85E2m426ujoGDRpEbW0t8fHxPvdtS1JSEnPmzAFg4sSJ9OrVi1OnThEXF+fX84ABhwt/wa38\ngltD3QwhTCB4OVmdnZ1TUlJCWloaw4cPZ8uWLV73+Zqds3nzZoYPH05aWhpvvvmmX+0yg2JupJgb\nQ90MIUwgOPErJyeHvLw8APLy8pg1a5Zfj581axY7d+4E4MiRIzQ3N3epgwUG7GQpX7oKN7irvasS\nDWp7pD7ZWZVy8PUcakp0w2WX0HDZJTTTm2Z6e5WJEMJ8gpeT1ZnZOQ6HgzVr1lBSUkJFRQX5+fkc\nOnQI8D07p6KigoKCAioqKigpKeGWW27h4sWLXTx+Y1MR7Bx9OUdfV7xSmhhAEwOIwkGUK0o59FtR\nrvtPEccp4qhhsH5JoIYEVzw8KxW3hGkFJ36tX7+e0tJSUlNT2blzJ+vXrwegpqaGmTNnuvZbtGgR\nU6ZM4ciRIwwZMoRt27YBWmmHY8eOMWrUKBYtWsTvfve7Lh+hDBcKYVrBGy4sKipi9+7dgDY7JzMz\ns1VHa9++faSkpJCcnAzAwoULKSwsJD093efsnMLCQhYtWkR0dDTJycmkpKSwb98+rrrqqqAdixDC\nqIITw2JjYykrK2u1PSEhgeLiYtft/Pz8Nh8fHR3Niy++2OZ9/jLsmSwhREeCN1zYmdk5J06cYMiQ\nIa7bSUlJnDhxAvA9O6empoakpKQ2HyOEsJrwL0EjZ7KEMK2OvgX+Xb+0rbuzc9qbsePP7Bx/Z/4I\nIcJF+E/eMVwn606ebLVtA9p4akyL1egVNSValW5Q96spzuf1Ug92tG/dF/TtCdQEtO1C9KyOvt2l\n6Bel0Ove7s7OSUxMxG53L+lit9tdZ6namp3T0NDQ6jHHjx8nMTGxg+Mwl5l4D1O8xwTAXXpBxbGW\n8aw35wF3yRlVxkbFNVXCZiwfA0gulggD5j1D1VkyXCiEaQUv8b0zs3MmTJhAZWUl1dXVNDc3U1BQ\nQE5ODtD27JyBAweSk5PD9u3baW5upqqqisrKSiZNmtSVgxdCmF74F1PuViervenbQohgC15OVmdm\n50RFRbF161ays7PJyMhgwYIFpKenA75n52RkZDB//nwyMjKYPn06Tz31VMiGCyV+CRFq4Z+TFeF0\nOp1deaDD4WDEiBGUlZWRmJjIxIkTyc/PdwVZ0HItuvj0XtRwoVq9XlHlHdTpdFVZWe2ntqvhQhta\n8q4aLjxWfpyrM7VT85fjX9n9nlJeXk5mZmaom9Euo7fR6O0D/z8rWsfk536+yo8D8nkMBz0Zv3wN\nF6rhPxWnVHqDSmuoIhmAKH04UT1OpTmcpS+flTcwMnMgP6Co2+0MBjN89ozeRqO3D7r2WfE/hpkz\nfnX5TJbn9O3o6GjX9O1gaiaGZmJa1c9S1WL6eVXX+rJVXRp1j6pbU17eiyb6u5blMaLy8vJQN6FD\nRm+j0dvXdbJAdFf1ZPxSFbAu6JcUPieFz+nPafpz2rWfik9VJFNFMqcYyCkG6lWyTjGFPUxhDzOr\n3mJm1VvMOF9Mc9leZpwvbufVQ8sMnz2jt9Ho7eue8I9fXe5ktTd9WwjRE2SB6K6S+CWEEYR//Ory\n7EKZdi1EqJn3212oSfwSwggsEMOcXbR3715ndna26/amTZucubm5XvsMGzbMCchFLnLp4DJs2DC/\nPn9deY0BAwZ09eMediR+yUUugbv4G7+cTv9jmFnjV5cT3y9cuMCIESN46623SEhIYNKkSa0SR4UQ\nwogkfgkhekKXhws9p287HA5WrlwpAUoIYQoSv4QQPaHLZ7KEEEIIIYRvQan4bsQif3a7nRtuuIGR\nI0dyxRVX8MQTTwDQ2NhIVlYWqampTJs2jaamppC20+FwMHbsWG666SZDtq+pqYl58+aRnp5ORkYG\nH3zwgaHauHnzZkaOHMmoUaNYvHgx58+fD3n7VqxYgc1mY9SoUa5t7bVp8+bNDB8+nLS0NN58880e\nbavQGC2GmSV+gbFjmNHjFxgvhkn86p6Ad7IcDgdr1qyhpKSEiooK8vPzOXToUKBfxm/R0dE89thj\nfPbZZ7z//vs8+eSTHDp0iNzcXLKysjhy5AhTp04lNzc3pO18/PHHycjIcM1+Mlr7br/9dmbMmMGh\nQ4f45JNPSEtLM0wbq6ureeaZZzhw4ACffvopDoeD7du3h7x9y5cvp6SkxGubrzZVVFRQUFBARUUF\nJSUl3HLLLVy8eLFH22t1RoxhZolfYOwYZuT4BcaMYRK/uinQmfR79uzxmrWzefNm5+bNmwP9Mt32\n/e9/31laWuocMWKEs66uzul0Op21tbXOESNGhKxNdrvdOXXqVOfOnTud3/ve95xOp9NQ7WtqanIO\nHTq01XajtPHUqVPO1NRUZ2Njo/Orr75yfu9733O++eabhmhfVVWV84orrnDd9tWmlrPcsrOznXv3\n7u3ZxlqcGWKYEeOX02nsGGb0+OV0GjeGSfzquoCfyTJDkb/q6moOHjzI5MmTqa+vx2azAWCz2aiv\nD93yOnfccQePPvoovXq5/yxGal9VVRWXXXYZy5cvZ9y4caxevZp///vfhmljbGwsP/7xj7n88stJ\nSEigf//+ZGVlGaZ9nny1qaamhqSkJNd+Rvz8hDujxzCjxi8wdgwzevwC88QwiV+dF/BOltGL/J05\nc4a5c+fy+OOP069fP6/7IiIiQtb+P//5z8THxzN27Fif6zOFsn2gTXs/cOAAt9xyCwcOHODrX/96\nq9PWoWzj0aNH+eUvf0l1dTU1NTWcOXOG3//+94Zpny8dtclo7Q13Rv59GzV+gfFjmNHjF5gzhkn8\nal/AO1mJiYnY7XbXbbvd7tWzDaWvvvqKuXPnsmTJEmbNmgVovfC6ujoAamtriY+PD0nb9uzZQ1FR\nEUOHDmXRokXs3LmTJUuWGKZ9oH0rSUpKYuLEiQDMmzePAwcOMGjQIEO08aOPPmLKlCnExcURFRXF\nnDlz2Lt3r2Ha58nX37Xl5+f48eMkJiaGpI1WZdQYZuT4BcaPYUaPX2CeGCbxq/MC3smaMGEClZWV\nVFdX09zcTEFBATk5OYF+Gb85nU5WrlxJRkYGa9eudW3PyckhLy8PgLy8PFfw6mmbNm3CbrdTVVXF\n9u3b+c53vsOLL75omPYBDBo0iCFDhnDkyBEAysrKGDlyJDfddJMh2piWlsb777/PuXPncDqdlJWV\nkZGRYZj2efL1d83JyWH79u00NzdTVVVFZWUlkyZNCmVTLceIMczo8QuMH8OMHr/APDFM4pcfgpHo\ntWPHDmdqaqpz2LBhzk2bNgXjJfz2zjvvOCMiIpxXXnmlc8yYMc4xY8Y4//KXvzhPnTrlnDp1qnP4\n8OHOrKws5+nTp0PdVGd5ebnzpptucjqdTsO17+OPP3ZOmDDBOXr0aOfs2bOdTU1Nhmrjli1bnBkZ\nGc4rrrjCuXTpUmdzc3PI27dw4ULn4MGDndHR0c6kpCTn888/326bNm7c6Bw2bJhzxIgRzpKSkh5t\nq9AYLYaZKX45ncaNYUaPX06n8WKYxK/ukWKkQgghhBBBEJRipEIIIYQQViedLCGEEEKIIJBOlhBC\nCCFEEEgnSwghhBAiCKSTJYQQQggRBNLJEkIIIYQIAulkCSGEEEIEgXSyhBBCCCGC4P8DOskM0I+i\nSSEAAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x104cf97d0>"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "alpha = np.zeros(39)\n",
      "for level in np.arange(1,39):\n",
      "    print level,depth[level],np.max(wvel_masked[:,level]), np.min(wvel_masked[:,level]),(depth[level+1]-depth[level-1])/2./np.max(wvel_masked[:,level]),(depth[level+1]-depth[level-1])/2./np.min(wvel_masked[:,level])\n",
      "    alpha[level] = np.maximum(-(depth[level]-depth[level-1])/np.min(wvel_masked[:,level]),(depth[level]-depth[level-1])/np.max(wvel_masked[:,level]))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
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        "1 1.5 "
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        "976.251115347 "
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       "output_type": "stream",
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        "-1016.86521353\n",
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       "output_type": "stream",
       "stream": "stdout",
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        " 387.603 "
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        "0.00932059 "
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        "-0.00657163 "
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       "output_type": "stream",
       "stream": "stdout",
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        "2889.27989902 "
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      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "-4097.8856887\n",
        "38"
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      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " 414.534 "
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      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "0.00491386 "
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      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "-0.00436518 "
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      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "5480.70493167 "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "-6169.60482006\n"
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      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.plot(np.log(alpha[1:39]))\n",
      "plt.title(\"Log dz/w\")\n",
      "plt.xlabel(\"Vertical Level\")\n",
      "print np.min(alpha[1:39])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "21.4741249084\n"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
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CAqBtWyAiAujRQ+5qTIctbCKyOv/7H+Dubl1hbSwGNhEpliQBS5YAL78sdyXKwMAmIsXa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\nVJR4bOBAEeB9+9p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       "text": [
        "<matplotlib.figure.Figure at 0x119ac66d0>"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}