Daniel Kerkow added file figures/depth-plot/depth-plot.ipynb  over 10 years ago

Commit id: fa52eaa6f11245fcd44063d0bfd98dffc86838c9

deletions | additions      

         

{  "metadata": {  "name": ""  },  "nbformat": 3,  "nbformat_minor": 0,  "worksheets": [  {  "cells": [  {  "cell_type": "markdown",  "metadata": {},  "source": [  "depth-plot\n",  "==========\n",  "\n",  "Depends on the following Python Libs:\n",  "\n",  "- panda\n",  "- matplotlib\n",  "- pylab\n",  "\n",  "Installation should be easy with pythons \"pip install\" tool.\n",  "However, I am running Linux and can't say how to install python, pip and the libraries under Windows, but it should be easy."  ]  },  {  "cell_type": "markdown",  "metadata": {},  "source": [  "Lets load the libraries:"  ]  },  {  "cell_type": "code",  "collapsed": false,  "input": [  "import pandas as pd\n",  "import matplotlib.pyplot as plt\n",  "from pylab import figure, show"  ],  "language": "python",  "metadata": {},  "outputs": [],  "prompt_number": 2  },  {  "cell_type": "markdown",  "metadata": {},  "source": [  "Data import"  ]  },  {  "cell_type": "code",  "collapsed": false,  "input": [  "# read Excel (2003) File:\n",  "daten_xls = pd.ExcelFile('plot.xls')"  ],  "language": "python",  "metadata": {},  "outputs": [],  "prompt_number": 3  },  {  "cell_type": "code",  "collapsed": false,  "input": [  "# parse file into panda dataframe ('datasheet_name', index_col='index_column_name' , na_values=['NA'])\n",  "daten = daten_xls.parse('summary', index_col=0, na_values=['NA'])"  ],  "language": "python",  "metadata": {},  "outputs": [],  "prompt_number": 5  },  {  "cell_type": "markdown",  "metadata": {},  "source": [  "Ok, and now let's plot it all together:"  ]  },  {  "cell_type": "code",  "collapsed": false,  "input": [  "fig = plt.figure(figsize=(10, 8)) # manually adjust x,y dimension of plot canvas\n",  "fig.suptitle('Results Element Identification')\n",  "fig.subplots_adjust(wspace=0.3) # space between subplots in [inch]\n",  "\n",  "\n",  "### Sub-Plot 1\n",  "\n",  "ax = fig.add_subplot(1,3,1) ## (total number of rows,columns, index of this subplot)\n",  "ax.plot(daten['loi_toc_perc'], daten['depth'], 'ro--') # column names of the data and depth values, last argument is for the line properties.\n",  "plt.xlabel('%') # Label on the x-axis of this subplot, should be used to give information on the used unit.\n",  "plt.ylabel('Depth [cm]') # only for the first subplot!!!\n",  "plt.title('TOC (LOI)') # Title of this subplot\n",  "plt.locator_params(axis='x', tight=False, nbins=3) # adjustment of ticks on the x-axis of this subplot, tight=False/True, nbins=count of bins\n",  "plt.grid(True) # turn on/off the grid for this subplot\n",  "plt.ylim(ymax=223) # manually set the range for the depth axis. set the max depth here.\n",  "plt.ylim(ymin=0) # manually set the range for the depth axis. set the min depth here.\n",  "plt.gca().invert_yaxis() # inverts the y-axis. Dont change this unless you want to change bottom/top.\n",  "\n",  "\n",  "### Sub-Plot 2\n",  "\n",  "ax = fig.add_subplot(1,3,2)\n",  "ax.plot(daten['calcit_perc'], daten['depth'], 'ro--')\n",  "plt.xlabel('%')\n",  "plt.title('Calcit (LOI)')\n",  "plt.locator_params(axis='x', tight=False, nbins=3) \n",  "plt.grid(True)\n",  "plt.ylim(ymax=223)\n",  "plt.ylim(ymin=0)\n",  "plt.gca().invert_yaxis() \n",  "ax.set_yticklabels( () ) # no tick labels on y-axis for the other axes than the first one. \n",  "\n",  "### Sub-Plot 3\n",  "\n",  "ax = fig.add_subplot(1,3,3)\n",  "ax.plot(daten['loi_tic_perc'], daten['depth'], 'ro--')\n",  "plt.xlabel('%')\n",  "plt.title('TIC (LOI)')\n",  "plt.locator_params(axis='x', tight=False, nbins=3)\n",  "plt.grid(True)\n",  "plt.ylim(ymax=223)\n",  "plt.ylim(ymin=0)\n",  "plt.gca().invert_yaxis()\n",  "ax.set_yticklabels( () ) # no tick labels on y-axis for the other axes than the first one.\n",  "\n",  "\n",  "##################################\n",  "### Exporting to SVG and PNG ###\n",  "##################################\n",  "\n",  "plt.savefig(\"plot.svg\")\n",  "plt.savefig(\"plot.png\",dpi=(640/8))\n",  "\n",  "#reset the graphic device:\n",  "figure()\n"  ],  "language": "python",  "metadata": {},  "outputs": [  {  "metadata": {},  "output_type": "pyout",  "prompt_number": 8,  "text": [  ""  ]  },  {  "metadata": {},  "output_type": "display_data",  "png": 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LuP12YNQoYMwYIDYWCAlRNYKsteY2d5s2ykLBrgbCRPUgax8BXGTv2FFZ9qdT\nJ+1CkSFxjhkZQ69ewJYtwM03A2+/DVx3HRATA/z3v1onk9f11wOHD2udgkifWrcGTp7UOgURAA7M\nNGO04/Ueb09oKPD448DatcCxY8AjjwC8wHD9deok5cCM/YRU0bo1cOKE1il0jbWrHq5jRvoXEgLc\nfbf7n3/0ERAYqOxVc3PIM9tsRkZaGgKKi2ELDERMQoJPXBfP0e7Tp2F77TXENGrkE+0mqg1H/zhx\nArZXXkGMEOwfpDkOzDQSFRWldQSP0rw9b70FTJmirJM2ZozydXm+SLbZjLWJiUi1WBw3T7r8fyO/\nCbts99GjAORpt+Z15WFGa4/MjNA/1MTaVQ8PZZL87r9fOeR59CgwfbqyJMeAAY5DExlpaU5vvgCQ\narEgMz1di7Sq8dV2E9UG+wfpFQdmGjHa8XpdtKf8kOeyZcr6aK1bAwACiotd3tzfalUxnPqM0G5d\n1JUHGa09MjNC/1ATa1c9HJiRMfldKW1bYKDLm9gNfjKBr7abqDbYP0ivODDTiNGO1+u5PTHjxyOp\ncWOnbXPCwhAdH69RInXEJCQgKSzMaZts7dZzXdWH0dojMyP0DzWxdtXDBWbJ2FJSgMWLkR0Xh8yj\nR+FfWgp7UBCi4+OrneAra61Vzp1tNiMzPR3+BQWw5+cjeskSTmwmj5C1jwBXsjv6x/HjsJeUIPrV\nV9k/yKPq0084MNNIVlaWoT6B6LY9P/8MdO4MNG9ep7vJWmtuc2dlAfPmAevXq57paui2rurJSO2R\ntY8ALrIvWaJcGWPJEu1C6ZyRaldN9eknXC6DjK1vX60T6ENhoXJNQCKqqqgIaNRI6xREADjHTDNG\n++ShaXusVmDxYuVfcu38edWvN+oJ7CekiqIioGFDrVPoGmtXPRyYkbxsNuCdd4AbbwQyM4GzZ7VO\npF/cY0bkHveYkY5wYKYRo60Jo2p7ysqATz8FbroJWL4cWLkS+OILoG1b9TLI5vx5KQdm7CekCg7M\nasTaVQ/nmJF8srOBV14B0tOB6GjAZNI6kf7dd5+yh5GIqpo8GQgO1joFEQCelUkyKq8BLw7IZK01\nWXOTfGSuNZmzk1zqU2s8lEn65qqgTSbuJSMiIkPiwEwjRjte7/H2WCzApElAaqpnH5ekwn5CpA+s\nXfVwYEb6kp8PzJwJ/OlPQLduQGKi1omIiIhUwzlmpA9lZUBSEvDWW8CUKcBzzwEtW2oWR9ZakzU3\nyUfmWpNF0/aoAAAgAElEQVQ5O8mFK/+T7mSbzchIS0NAcTFsgYGISUhwfS06Pz+gQwdg+3blX7pq\nTs/9vn2ISU3F0ClTtI5FpBuOPvLrr7CFhSFm1ixeK5M0x4GZRox23TFX7ck2m7E2MRGpFotjW9Ll\n/7t883vsMW9G9Ckun/sXXgBat5bqD48v9BPSRpU+cvQoko4eBeDm/cnHsXbVwzlm5DUZaWlOAwMA\nSLVYkDl/vkaJfIfL5/7QIWSmp2uUiEhf3L4/sY+Qxjgw04jRPnm4ak9AcbHL2/rv2QPY7V5O5Nvc\nPveSXU/UF/oJacMofUQtrF31cGBGXmMLDHS53f6nPwH+/iqn8S1un/ugIJWTEOkT+wjpFQdmGjHa\nmjCu2hOTkICksDCnbXPCwhAdH69SKt9llOfeF/oJacMofUQtrF31cPI/eU35BNq5Tz0F//PnYe/d\nGyPj4zmxVgWO5z49Hf6XLsFeUoKRycl87okuc+ojR47A3qED359IF7iOGXlfSQlw8SLQvLnWSWpN\n1lqTNTfJR+Zakzk7yYXrmJE+NWigfBEREVG1OMdMI0Y7Xm+09pA+GK2ujNYe8h2sXfVwYEZERESk\nE5xjRuSCrLUma26Sj8y1JnN2kkt9ao17zMg7Zs8Gtm3TOgUBwObNwBNPaJ2CSJ+OHQNmztQ6BZED\nB2YaMdrxeqf2/PYbsHQp0LWrZnmoghMngP37tU5RL4buJ6QPZ88C332ndQrdY+2qhwMz8rznnwf+\n9jegaVOtkxAAFBcDblY5J/J5paXANddonYLIgXPMyLNycoC4OGUPTePGWqepN1lrzWXujz4Cvv4a\n+PhjbUKRIcnaR4BK2bduBR55hFMvyCu4jhmpLttsRkZaGgKKi2ELDERMQQGGzp4t9aDMKByvzaFD\nsBUWIsZs5qrmRJc5+sfJk7D9/jv7B+kGB2YaycrKQlRUlNYxrkq22Yy1iYlItViQBSAKQFKjRkDH\njhiqbTSfV/G1KZeUmAgAUv3xMUI/qcho7ZGZEfqHmli76uEcM6q3jLQ0pzc2AEgtKkLmkiUaJaJy\nLl8biwWZ6ekaJSLSF/YP0isOzDRihE8eAcXFjv9HVdjub7WqnoWcVXxtKpLttTFCP6nIaO0xGtn6\nh5pYu+rhwIzqzebmTD97UJDKSagyvjZEdcf+QXrAgZlGjLAmTExCApLCwgAAWZe3zQkLQ3R8vGaZ\nSFHxtSkn42tjhH5SkdHaIzMj9A81sXbVw8n/VG/lk2Tnpqcj7/hxrGvbFiOnTePkWR2o+Nr4W62w\nBwVhZHw8Xxuiy2IXLWL/IF3iOmbkOVu3AlOmANu3A35y74yVtdZkzU3ykbnWZM5OcuG1Mklb/foB\nQUHAF19onYQqyskBZszQOgWRPp04AUybpnUKIgcOzDRitOP1WVlZgMkEJCcD8+cD/DSqH2VlyoXM\nJWTIfkL6UlYGfPWV1il0j7WrHg7MyLPGjgXsdsBs1joJlWvaFDh3TusURPrUuDFw8aLWKYgcOMeM\nPO/TT4F//hP48UdlL5qEZK01l7lPngR69ABOndImFBmSrH0EqJTdblcuYm63S/t+RfrFa2WSPtx9\nN3DoEFBaCjRooHUaKt9jJgT/8BBV5u+vvE9dugQ0aqR1GiIeytSK0Y7XO7XHzw94+mkOyvSiQQMg\nIED5wyMZQ/cT0o/GjYGiIq1T6BprVz0cmBH5gh9+4ECZyJ2PPgKCg7VOQQSAc8yIXJK11mTNTfKR\nudZkzk5y4TpmRERERBLjwEwjRjte77Y9QihXBCCqB5/pJ0Q6x9pVDwdm5F2lpcC4ccCWLVonISIi\n0j3OMSPve+01ICNDqtW1Za01WXOTfGSuNZmzk1zqU2scmJH3XbqE7PbtkdG9OwIaNIAtMBAxCQkY\nGhendTK3ZK21yrmzzWZkpKUh4PffYQsKQsyCBbp+3kkesvYR4Ep2p/7RtCliXniB/YM8SpoFZkND\nQ9GkSRP4+/vjmmuuwebNm1FQUIB7770Xhw4dQmhoKFauXIlmzZppEU8VWVlZiIqK0jqGx1TXnuz/\n+z+s9fND6qZNjm1JFgsA8E3Qi7LNZqxNTETq5ecaAJISEwHI87z7Uj8hdRmhf6iJtaseTeaYmUwm\nZGVlIScnB5svX1x5wYIFiI6Oxr59+zB8+HAsWLBAi2jkBRlpaUg9fdppW6rFgsz0dI0S+YaMtDSn\nPzoAn3eicuwfpFeaXZKp8q69r776CuvXrwcAPPjgg4iKinI5OJs8eTJCQ0MBAM2aNUOfPn0co/jy\ns0Zk+D4qKkpXebzZnoDiYuV7KKIu/5t3/LjTpzAt82dlZWHZsmUA4KgvWZX3kR/27sV/APTBlec8\nC8rzXk5PNeTq+/Jtesnjy+0xUh8BgG+2b3f8AWyGK/3E32rV1fOup+/L6SWPHr/3RD/RZI5Zly5d\n0LRpU/j7++ORRx7BtGnT0Lx5c5w5cwaAMmi79tprHd87wko8p8GXJcfGYn5GRpXtc2Nj8dKaNRok\nqpmstVYxt4zPO8lD1j4CKNmTYmLYP8jrpFlgdsOGDcjJycHq1auxePFifP/9904/N5lMMBn8YsuV\nP4HIrrr2xCQkICkszGnbnLAwRMfHezmVbzPC8+5L/YTUZYT+oSbWrno0OZTZrl07AECrVq0wbtw4\nbN68GW3atMHx48fRtm1b5Ofno3Xr1lpEIy8on0g7Nz0d/lYr7EFBGBkfzwm2Xub0vF+4ALu/P0bO\nmsXnnQiV+sfZs7Bfcw1GPvcc+wdpTvVDmUVFRbDb7QgJCcHFixcRExODefPm4dtvv0WLFi3w7LPP\nYsGCBTh79myVOWYy7zonuchaa7LmJvnIXGsyZye5SLGO2cGDBzFu3DgAgM1mw6RJkzB79mwUFBRg\nwoQJOHz4sNvlMtiZDOLiRaBRI0DHh6tlrTVZc5N8ZK41mbOTXKQYmF0NI3WmimdmGUGd2tOunXL9\nzPbtvZrpashaa7Lmdsen+4nOyVxrMmfXipFqV03STP4nHxcZyWtnEhERucA9ZqS+558HysqA+fO1\nTuKWrLUma26Sj8y1JnN2kgv3mJEcbr6Ze8zUtn078OCDWqcg0qe1a4G0NK1TEAHgwEwzRlsTpk7t\n6ddPmWPGT6zquXQJ2LNH6xR15tP9hNRz5Ijy4YXcYu2qhwMzUt911wFdugAnT2qdxHf4+wN2u9Yp\niPTJz0+ZXkGkA5xjRuSCrLXmNvfPPwMPPQTk5KgfigxJ1j4CuMj+/vvAunXABx9oF4oMiXPMiMg1\n7jEjcs/fn3vMSDc4MNOI0Y7XG609hiPpwMxodWW09hgGD2XWiLWrHk2ulUlEKgsLAz79VOsURPp0\n221A9+5apyACwDlmRC7JWmuy5ib5yFxrMmcnuXCOGcnFYgEOHNA6BRERkW5wYKYRox2vr2t7ss1m\nJN9xB1Juvx3JsbHINpu9E8zHZZvNSI6NRUpUlJTPs6/3E/Iu2fuHmli76uEcM1JdttmMtYmJSLVY\nlA1HjiDp8v+HxsVpmMxYqjzPAJ9nosvYP0ivOMeMVJccG4v5GRlVts+NjcVLa9ZokKgqWWutYm4Z\nnmeSl6x9BFCyJ8XEsH+Q13GOGUkhoLjY5XZ/q1XlJMbG55nIPfYP0isOzDRitOP1dWmPLTDQ5XZ7\nUJCH0hBgjOfZl/sJeZcR+oeaWLvq4cCMVBeTkICksDCnbXPCwhAdH69RImPi80zkHvsH6RXnmJEm\nss1mZKanw99qhT0oCNHx8bqacCtrrVXO7XieL1yA/aefEP3FF7p6nklesvYR4Ep2R/84dgz2Y8cQ\n/f777B/kUfXpJxyYEbkga625zV1QoKz+f+aM+qHIkGTtI4CL7GvXAv/6l/IvkQdx8r9EjHa83mjt\nMRyTCZDwj6jR6spo7TEUCfuHmli76uHAjLxPCOC554Dt27VO4ruaNAHWr9c6BZE+9e0LvPii1imI\nAPBQJqkhORlYswb4v/9TBggSkLXWZM1N8pG51mTOTnKpT61x5X/yroULgVWrgOxsaQZlREREWuGh\nTI0Y7Xi9y/a8+y6Qng5kZACtWqmeieTnE/2ESAKsXfVwjxl5R14eMG8esG4d0LGj1mmIiIikwDlm\n5D0XLgDBwVqnqBdZa03W3CQfmWtN5uwkFy6XQfoi6aDMkIqLgT/9SesURPq0cycwe7bWKYgAcGCm\nGaMdrzdaewwpJ0frBHVmtLoyWnsM4/RpYONGrVPoGmtXPRyYkWeUlWmdgKoj6QKzRKpg/yAd4Rwz\nunr5+cCoUYDZDFx3ndZpPELWWnOb22YDgoKUf4k8QNY+ArjInp0NJCUB33+vXSgyJM4xI/WdOQPE\nxgLjxxtmUGZIJhP3ahK5YzJpnYDIgQMzjch4vD7bbEZybCxSoqKQHBuL7FWrgLg4YMQIZN16q9bx\nyI1ssxnJo0YhRQjldTObtY5UazL2k+oYrT2yc7ynJSQgeedOqfqG2li76uE6ZlQr2WYz1iYmItVi\ncWxL+v57YNAgDP3nP5VDAaQ7VV63jAwkXf7/0Lg4DZMRacvle1piIgD2DdIW55hRrSTHxmJ+RkaV\n7XNjYvDS2rUaJPIuWWutcm63r1tsLF5as0bNaGQwsvYRQMmeFBPDvkFexzlm5DUBxcUut/u72U76\n4PZ1s1pVTkKkL+wbpFccmGlEtuP1tsBAl9vtQUEA5GuPr6jpddM7o9WV0dojM9n7htpYu+rhwIxq\nJSYhAUlhYU7b5oSFITo+XqNEVBt83YhcY98gveIcM6q1bLMZmenp8LdaYQ8KQnR8vGEnycpaa65y\n+9LrRuqRtY8AV7Kzb5C31aefcGBGtbNxI5CbC9x/v9ZJVCFrrVWbe9MmYNEi4JNP1A1FhiRrHwHc\nZJ83DxgxAhgyRJtQZEic/C8RqY7XFxUBkycDDRu6vYlU7fFV7dsD69drnaJOjFZXRmuPofzxB7Bj\nh9YpdIu1qx4OzKhmSUnAzTcD48ZpnYSuRseOwKVLwKlTWich0p/OnYGDB7VOQcRDmVSD7Gxg4kTl\nk2SLFlqnUY2stVZj7iFDgBdfBG6/Xb1QZEiy9hHATfaVK5Wvzz7TJhQZEg9lkmdduABMmQK88YZP\nDcoMLTych2uIXAkN5R4z0gUOzDQixfH6U6eUuWVjx9Z4UynaQ8rAbNcurVPUmtHqymjtMZTOnZUT\nnMgl1q56eK1Mci80FJg7V+sU5EmTJwMPP6x1CiL9adkSMJsBIQCTSes05MM4x4zIBVlrTdbcJB+Z\na03m7CQXzjEjIiIikhgHZhox2vF6o7WH9MFodWW09pDvYO2qhwMzuuLsWeCJJwC7XeskREREPolz\nzOiKqVOBwEBleQwfJ2ut1Sq3EEBhIdCkiTqhyJBk7SOA3NlJLpxjRvVnNgPffQf84x9aJyFv++03\noH9/rVMQ6Y/FAowerXUK8nEcmGlE6+P12WYzkmNjkRIVheRhw5D9178C774LhITU6/G0bg/VTrbZ\njOQnnkCKxYLkESOQbTZrHalaRqsro7XHSLLNZiRPn46UNWuQHBur+76hNtaueriOmQ/KNpuxNjER\nqRaLY1tSkyZAURGGapiLvKvK675uHZIuL6g5NC5Ou2BEGqvSNzIykHT5/+wbpDbOMfNBybGxmJ+R\nUWX73NhYvLRmjQaJ9EfWWqsuN1938iRZ+whQNTv7BnkL55hRrQQUF7vc7m+1qpyE1MTXncg19g3S\nEw7MNKLl8XpbYKDL7fagoHo/Jucf6J83XndvM1pdGa09RiFj31Aba1c9HJj5oJiEBCSFhTltmxMW\nhuj4eI0SkRr4uhO5xr5BesI5Zj4q22xGZno6/K1W2IOCEB0fz0muFchaazXl5utOniJrHwFcZ2ff\nIG+oTz/hwIzIBVlrTdbcJB+Za03m7CQXTv6XiG6O1//lL8DBg1f9MLppDxmK0erKaO0h38HaVQ8H\nZr5u+3bgwgWtUxARERF4KJP69AHeew+IjNQ6ia7IWmu1yn3woHKdzBYt1AlFhiRrHwHkzk5y4aFM\nqruAAMBu1zoFqWnuXOCbb7ROQaQ/8+YBixdrnYJ8HAdmGtHN8Xp/f8Bmu+qH0U17qGZ79wLdummd\nolaMVldGa4/hWCz1vl6w0bF21cOBma/jHjPfIgSwbx9w441aJyHSnyNHgPbttU5BPo5zzHzdjh1A\np05A06ZaJ9EVWWutxtzHjwPh4cDJk+qFIkOStY8A1WS/4QblML8ke5RJ/+rTTwK8lIVkERGhdQJS\nE/eWEbkmBPeYkS7wUKZGjHa83mjtMSy7HRg5UusUtWa0ujJaewyloAAIDASCg7VOokusXfVwjxmR\nL7n9duWLiJxdey1w6JDWKYg4x4zIFVlrTdbcJB+Za03m7CQXrmNGREREJDEOzDSi9fH6bLMZybGx\nSOnUCck334xss/mqHk/r9pB7jtc6KgrJsbFX/VqryWh1ZbT2GIHM/UNNrF31cI6ZD8o2m7E2MRGp\nFouy4fBhJCUmAgCGxsVpmIw8rcprDSDp8v/5WpOvY/8gPeIcMx+UHBuL+RkZVbbPjY3FS2vWaJBI\nf2Sttcq5+VqTt8jaR4Ar2dk/yNs4x4xqJaC42OV2f6tV5STkbXytidxj/yA94sBMI1oer7cFBrrc\nbg8Kqvdjcv6BPnnjtVaT0erKaO2Rnez9Q02sXfVwYOaDYhISkBQW5rRtTpcuiI6P1ygReYvL1zos\njK81Edg/SJ84x8xHZZvNyExPh7/VCrsQiH7mGQwdPVrrWLoha625yu14rfPzYT9yBNEffMCJzXTV\nZO0jgHN2R//YuhX2669H9EsvsX+Qx9Snn3BgRuSCrLVWbe6tW4Hp04Gff1Y3FBmSrH0EcJP9vvuA\nO+8EJk7UJhQZEif/S8Rox+uN1h5Duu466S7HZLS6Mlp7DCU4GLhwQesUusXaVQ/XMSPyFdddByxc\nqHUKIn1asgTw99c6BREPZRK5ImutyZqb5CNzrcmcneTCQ5lUf0IA+/ZpnYKIiMincWCmEd0dry8r\nAwYNAg4frtfdddceMgSj1ZXR2kO+g7WrHg7MSOHvD8TFAd98o3USIiIin8U5ZnTFqlXA228DvEac\ntLVWY+5vvwV69ADat1cvFBmSrH0EqCa7EIDJpH4gMizOMaOrExMDbNwIFBZqnYS8JT1dWc+MiJyt\nWaMcNSDSGAdmGtHl8fqQEGWeWUZGne+qy/ZQVc2aAWfPap2i1oxWV0Zrj6E0bMh1zKrB2lUP1zEj\nZ9Oncy0fI2vWDDhzRusURPrDBWZJJzjHjMgFWWutxtwpKc7/EtWTrH0EcJN9715gzBguG0QexTlm\nRFQ9yQ5lEqkmOBi4eFHrFETuD2WOGTOmxjtfe+21eP/9913+bOrUqTCbzWjdujV27twJACgoKMC9\n996LQ4cOITQ0FCtXrkSzZs0AAH//+9/x7rvvwt/fH2lpaYiJialPe6SRlZWFqKgorWN4jNHaY1h9\n+iiDM0kYra6M1h5DadyYA7NqsHbV43ZgtmfPHrzzzjsud8GV75p77LHH3D7wlClTEB8fj7/+9a+O\nbQsWLEB0dDRmzZqFV155BQsWLMCCBQuwe/durFixArt378bRo0cxYsQI7Nu3D35+3KFH5FF8YyVy\nrWlToKBA6xRE7ueYrVixAvfee2+1d67pNrm5uRgzZoxjj1n37t2xfv16tGnTBsePH0dUVBT27NmD\nv//97/Dz88Ozzz4LABg5ciRSUlIwcOBA57ASz2kguchaa7LmJvnIXGsyZye51KfW3O4xq2lQVtvb\nVPTHH3+gTZs2AIA2bdrgjz/+AAAcO3bMaRDWoUMHHD161OVjTJ48GaGhoQCAZs2aoU+fPo7dq+Wn\n8/J7D3z/3/8ia8sWIDZWH3m8/H1WVhaWLVsGAI76khX7CL9nH6kZ+wm/12s/qfGszC1btuDll19G\nbm4ubDabcieTCTt27KjxwSvvMWvevDnOVDhV/9prr0VBQQHi4+MxcOBATJo0CQDw8MMPY9SoURg/\nfrxzWAN9ysnS+/H6//0PWLAAyM6u1c113546krXWZM3tjtHqykjtkbnWZM6uFSPVrpo8uses3KRJ\nk/DPf/4TvXr1uuo5X+WHMNu2bYv8/Hy0bt0aANC+fXvk5eU5bnfkyBG05yVjtDVsGDBxInDqFNCy\npdZpiIiIfEKNI61WrVph7Nix6NKlC0JDQx1f9TF27FjHWZzvv/8+7rrrLsf2Tz75BCUlJTh48CD2\n79+PAQMG1Ot3yEL3nzyCgoDhw5U9Z7Wg+/bQFe++C9jtWqeoFaPVldHaYzhCAGVlWqfQJdauemo8\nlJmRkYEVK1ZgxIgRaNCggXInk6nKYcbKJk6ciPXr1+PUqVNo06YNXnzxRdx5552YMGECDh8+XGW5\njJdffhnvvvsuAgICsGjRIsTGxlYNy93P6lq2DPjmG+Czz7ROojpZa61WuZs3Bw4cAFq0UCcUGZKs\nfQSoJvvw4cCcOcq/RB5Qn35S48Bs0qRJ2Lt3L2666SanQ5nvvfde/VJeBZnfCCqT4nj9yZPADTcA\nJ04Alwfl7kjRnjqQtdZqlbtLFyAzEwgLUyfUVTBaXRmpPbL2EaCa7GPHAg89BNx5p/qhdM5Itasm\nr8wx27p1K/bs2QOTyVTvYCSpVq2APXtqHJSRZLj6P5FrXGSWdKDGOWaDBg3C7t271cjiU6T55NG2\nba1uJk17SKqBmdHqymjtMRxeyNwt1q56atxjtmnTJvTp0wedO3dGYGAggNovl0FEOiTRwIxIVRyY\nkQ7UODBbs2aNGjl8jtGO1xutPYY2ejQgyXI0Rqsro7XHcBo3Bi5d0jqFLrF21VPjwOz48ePo2bMn\nmjRpAgA4f/48fvvtN0Os/Ezkk6ZO1ToBkT699BLA+dSksRrPyuzTpw9+/vlnxxmZdrsd/fv3R05O\njioBK5L5LCCplZUBO3cCvXtrnUQ1staarLlJPjLXmszZSS71qbVaLeVfcZkMf39/2CVZnJI8pKxM\nuRLAkSNaJyEiIjK0GgdmnTt3RlpaGkpLS1FSUoJFixahS5cuamQztPKLnsoge+1aJAcGImXYMCTH\nxiLbbK5yG5na46uyzWYkx8YiJSrK7euoN0arK6O1xyhk7BtqY+2qp8Y5ZkuWLEFCQgLmz58PABg+\nfDjeeustrwcjfcg2m7E2MRGp+fnKhv37kWSxAACGxsVpmIzqwvE6Xn7tAPB1JAL7BulPjXPM9ITz\nAtSXHBuL+RkZVbbPjY3FSwY+Y1fWWnOX21dfR/IeWfsI4JydfYO8yaNzzGqzV4x7zowvoLjY5XZ/\nq1XlJHQ1+DoSuca+QXrj9lDmggUL0LJlS5cjvfIR4H/+8x9Mnz7dqwGNSpY1YWyXFxWuzB4U5PS9\nLO3xVbV9HfXGaHVltPYYgax9Q22sXfW4HZgNHToUX3/9dbV3jomJ8Xgg0peYhAQkWSxO8y/mhIVh\nZHy8hqmorvg6ErnGvkF6wzlmVKNssxmZ6enwt1phDwpCdHy84SfFylpr1eV2vI6//w77pUuIXrLE\n8K8jeY+sfQSomt3RNw4dgv3cOUS//Tb7BnlEffoJB2ZELshaa7XKPX++ctmZ1FR1QpEhydpHgGqy\nL14M/Por8Prr6ociQ/LaArPkebpfE8ZmAwoLa31z3beHrujdG5BkrojR6spo7TGcS5eA5s21TqFL\nrF311LiOGfmoZ54Biov5ydGIxozROgGRPj39tNYJiGo+lGm1WrFq1Srk5ubCZrMpdzKZ8Pzzz6sS\nsCKZd51L5cMPgRdeALZs8dlPj7LWmqy5ST4y15rM2Uku9am1GveY3XnnnWjWrBn69euHIJ4+bHxb\ntwJPPQV8953PDsqIiIi0UuPA7OjRo1i7dq0aWXyKLteE+eMPYPx44M03gV696nRXXbaHpGe0ujJa\ne8h3sHbVU+Pk/0GDBmHHjh1qZCGtffwx8Ne/KoMzIiIiUp3bOWbh4eEAALvdjv3796Nz584IvLxC\nsslk0mSwxnkBKhACMJm0TqE5WWutxtxFRcB77wGPPaZeKDIkWfsIUE32oiKgYUO+B5LHeHQds9zc\nXLcPajKZ0KlTp/qlvAoyvxGQXGSttRpzWyzAiBHAwYPqhSJDkrWPANVk79gR2LhR+ZfIAzy6jllo\naChCQ0ORnJzs+H/FbXR1jLYmjNHaY1gnTwKtWmmdotaMVldGa4/hnD0LNG2qdQpdYu2qp8Y5Zrt2\n7XL63mazYdu2bV4LREReJNnAjEg1drtyKDM4WOsk5OPcDsxefvllhISEYOfOnQgJCXF8tW7dGmPH\njlUzoyFpfnZLSYky0T8/3yMPp3l7qHYkG5gZra6M1h5DOX8eCAkB/HhBHFdYu+pxW4Fz5sxBYWEh\nnn76aRQWFjq+CgoKsGDBAjUzkjckJipvRG3aaJ2E1HTqlFQDMyLVnDvHw5ikCzV+NPj73/+OVatW\n4cknn8Tf/vY3fP7552rkMjxNj9e//TaQlQV88IHHPh1y/oEk+vYFYmO1TlFrRqsro7XHUC5e5AfV\narB21VPjArMzZ86ExWLBxIkTIYTAkiVLkJmZidd5DUU5bdoEJCUBP/wANGmidRpS24gRWicg0qeb\nbgI2b9Y6BVHN18rs3r07du/eDb/Le1bKysrQs2dP7NmzR5WAFcl8erYWss1mZKSlIaC4GLbAQMQ8\n9BCGPvWUsrJ/XJzW8XRN1lpzl7tKLSQkYChrgK6CrH0EcM7OvkHe5JVrZXbt2hWHDx9GaGgoAODw\n4cPo2rVrvQKSerLNZqxNTESqxeLYlmSxALNn803Hx7itBYC1QD6NfYP0qMYJRufPn0ePHj1w2223\nISoqCj179kRhYSHGjBnDszOvgreP12ekpTm92QBAqsWCzK+/9srv4/wD/XJbC+npGiWqPaPVldHa\nIzuZ+4baWLvqqXGP2Ysvvuj2ZyZetkK3AoqLXW73t1pVTkJaYy0Quca+QXpU48AsKioKubm5OHDg\nAIm+3BkAACAASURBVEaMGIGioiLYbDY04cTxq+LtNWFsl69rWpk9KMgrv49r3OiX2rXgSUarK6O1\nR3Yy9w21sXbVU+OhzLfeegv33HMPHnnkEQDAkSNHMG7cOK8Ho6sTk5CApLAwp21zOndGdEgIwE+D\nPsVtLcTHa5SISB9c9o2OHdk3SFM1npXZu3dvbN68GQMHDkROTg4AIDw8HDt37lQlYEUynwVUWVZW\nltc/gWSbzchMT4e/1Qp7UBCiH30UQ5cvV9brWbUK8OCnQjXaoyZZa626szIdtbB7N6L//GcMlWDJ\nG6PVlZHaI2sfAaqelenoG7m5iB40CEM/+kjjhPpjpNpVk1fOygwMDERghd29NpuNc8skMTQuruqZ\nRaNGAZMmAXff7fHBGemXUy1s2KBcjstuB/z9tQ1GpDGnvrFpEzBtmraByOfVuMfsmWeeQbNmzfDB\nBx/gtddew+uvv46ePXsiNTVVrYwOMn9C05XSUmVw5oU9Z0Yha63VOvegQcCTTwL33OP9UGRIsvYR\noJrsZWXA9dcDmZlAjx7qByPDqU8/qXGO2YIFC9CqVSuEh4fjzTffxKhRozB//vx6hyQduOYaYPly\noHFjYPFirdOQFmbNAv77X61TEOmLn59yNOGzz7ROQj6sxj1mAHDixAkAQOvWrb0eqDoyf0KrTBfH\n60tLAZMJCKjxiHaNdNEeD5K11mqdu6xM+ddD10r1FqPVlZHaI2sfAWrIvm0bsGULMGOGuqF0zki1\nqyaP7jETQiAlJQUtW7ZEt27d0K1bN7Rs2RIvvPCCtJ2RKrnmGo8MykhCfn66H5QRaaJfPw7KSFNu\n95j961//wurVq/HWW2+hc+fOAIDff/8dM2bMwMiRI/HUU0+pGhSQ+xMayUXWWpM1N8lH5lqTOTvJ\npT615nZg1qdPH2RmZqJVq1ZO20+ePIno6Gj88ssv9U9aT+xMKjh3TjkZwM3Ci75C1lqTNTfJR+Za\nkzk7ycWjhzJtNluVQRkAtGrVCjabre7pyIlurzv26qvAn/8MuLlUiTu6bQ9JzWh1ZbT2kO9g7arH\n7cDsmmuucXun6n5Gkps3D2jQoF6DM5LUt98CCxZonYKIiFDNoUx/f380atTI5Z0uXbqkyV4z7n5W\nSWkpcN99QEmJctq4Dx7WlLXW6pX70CGgb1/g99+Bpk29E4wMR9Y+AtQy+6FDwHPPAR9/rE4oMiSP\nzjHTI5nfCKRTcXC2apWyF82HyFpr9c59//1AZCTwzDOeD0WGJGsfAWqZ3WYDrrsO+PFHoEsXdYKR\n4XhlgVnyDt0fr7/mGuCTT4A77qjVZXt03x6q3jPPAIsWKQNxHTFaXRmtPYYWEACMG8fFZi9j7aqH\nAzNy75prgJkzeT1FXxAZqVyChhdvJrrinns4MCPV8VAmkQuy1tpV5c7MBFauBN5+27OhyJBk7SNA\nHbLbbEC7dsqVAEJDvZ6LjIdzzIg8RNZakzU3yUfmWqtT9mnTgAEDlH+J6ohzzCQi7fH6M2eAp5+u\nspSGtO0hXTNaXRmtPT7htdc4KANrV00cmFHdNG6sLKtwzz26myhORORxPrhcEGmLhzKp7kpKlKU0\nbDZlYqwBl9KQtdZkzU3ykbnWZM5OcuGhTFJHgwbKUhoBAcoVArjnjIiIyCM4MNOI9MfrKwzOsp98\nEg/cfDNSoqKQHBuLbLNZ63R0FbLNZiT37YuU66/X/PWUvp9UYrT2+IpssxnJsbE+/R7H2lVPgNYB\nSGINGiD7wQex9m9/w0MWC6Iub06yWAAAQ+PiNItG9ZNtNmNtYiJSL7+GyMvj60k+rUqfAN/jyLs4\nx4yuSnJsLOZnZFTZPjc2Fi+tWaNBIs+QtdauNrdRX0/yPFn7CFC37OwTdDU4x4xUF1Bp2Yxy/lar\nyknIE9y+nvv2qZyESB/c9onDh4HDh1VOQ76AAzONSH283mYDfvgBmD0btm3bAABZlW5iDwpSPRZd\nPZubpQHsLVq4vsP69cCYMUBiIvCf/wBffgns3AlcuOCRPFL3ExeM1h5f4LZPFBQA7l5PA54QxdpV\nDwdmVDdvvAG0bQs8/jjg54eY559HUliY003mhIUhOj5eo4B0NWISEly/nikpru/QowcwdSrQqRNg\nsSiXc7r3XmDWLNe3P3FCuV1pqWeDE3mJ2z6xdCnw17+6vtOjjyrvk7GxwDPPAB9+CGzfbsgBG3ke\n55hR3Rw4oCy42LGjY1O22YzM9HT4W62wBwUhOj5e+kmxstaaJ3J79fX8+GNg9mwgP1+5BmHnzkCX\nLsqyK3fc4ZnfQaqQtY8Adc9e5z4hBHDkCLBjx5Wv7duBtDRgxAgPtIBkwWtl0tUpKgL+7/8As1l5\nY1myROtEmpG11qTJXVqqzM85eFD56tYNGDq06u0++QTYsEEZvHXufOWrSRP1M5MTaWrNBd1lHzFC\nec+NiAB691b+7dkT4JQQ6XHyv0R0c7y+qAh4/XUgLk7Z9f7Pfyp/BBMT6/QwumkPyeGaa4CwMOUP\n0rRprgdlALIKC4GuXYHcXODdd4FJk5Q9bW+84fpxz5zR9eEi9hNy6cMPlcP/7doB334LTJ4MNG8O\nHD+udTIH1q56uI6Zr/P3B37+GXjwQWD5cqBZM60TEV1xww1AVJTzNiGUE1BcmTcPePNNoE2bK3vX\nunRRLiF2441ej0tUL+3aKV+xsVe2FRe7vtydzaYc9u/RQ9mzFhEB9OoFNGqkXl7yKh7K9AWnTgGr\nVwOjRgHuzq4jJ7LWmqy5PcpmA/Lyrhwm/f135YSEiIiqt33rLeD8+SsDuM6d+eGklmSuNZmzw2ZT\nzgYtn7e2Ywewd68yONu8Wet0VAnnmJFCCKXDms3K16+/AsOGAa++qhwWohrJWmuy5tbMJ58AP/10\nZQB38KByDdhvvwX69at6e7td2ctMUteazNldKi1VTjbo3Lnqzw4fBhYsuDJ3rVcvICRE/Yw+igMz\niWRlZSGq8iEaT3n6aeDzz4HRo5W5Y7fdppxJ6UVebY8GZK01WXO7o3pdCQGcPq384XLVZ3r3VvZA\nVz4Z4e67a/XHzkj9ROZakzl7nZ04oZwNXX526O7dynzie+8FXn651g9jpNpVU31qjXPMZFZU5Hpe\nwfz5yt4xk0n9TEQyM5mAli3d//znn4GjR6/sXTt4EFi3Tllk15U33lAer/xQqa8MBkg/Wrd2PpnL\nZlOWPXK3CHRODrBxo/IhJDwcaNpUnZzkwD1mMiktVZYOKD9E2aMHsGqV1qkMSdZakzW3YT33HLBv\n35VBnBDKAG3TJumXQpC51mTO7nWbNwPvvKPsXdu1S/lgERGhLCR9111ap5MOD2Ua1enTykrSmZnK\nHLG4OOWrXz/AjyueeIOstSZrbp9x5oyy9EdkZNWfWa3KEiKhoc5nlIaFuV1OREsy15rM2VVVVqbs\nHd6+HWjfHhg4sOpttmwBLl5UBm/XXqt+Rp3jwEznss1mZKSlIaC4GJaLFzEtJaV2K6rb7co6N7Gx\nyinVOmS0+Qey1pqsud0xWl1V2x4hlMOkFU9EOHgQOHcO+OKLqrcvKgK+/vrKAK5Fi3pNX6j4vmQL\nDERMQkKt3pdkrjWZs2vFbe0uXaqsMbhzp3LYs3wJjwcfBLp3r9Vj17cGZcA5ZjqWbTZjbWIiUi0W\nAMpFv9dePu4/9LbblLPAvvlGWYepwuWOAChngU2erGpeIlKZyQR06KB8DRlS8+3PnQM+/fTKQM5m\nUwZpgwe7X4C3ksrvSwCQdPn/RvnDSF720EPKV1kZcOjQlZMM3C30/Ouvyry3Vq0AsAZd4R4zlSTH\nxmJ+RkaV7XNbtMBLxcXKLuK4OOCBB7jWmA7IWmuy5iYPOHtWGaRduOB6YJeTo0yJqHBGafKSJZi/\nbVuVm86NjcVLa9ZU++tkrjWZs0tv6lRl1YCgICAiAsn79mF+bm6Vm9WmBmXAPWY6FlBc7HK7f9u2\nykRgritDRFejWTPXc9fK3XgjsHDhlTlDX3yBgAMHXN7U32r1Ukjyee++qxz+zMsDduxAQEKCy5v5\ncg1yYKYSW6U1kbIARAGwd+igDMq+/15ZzfnWW4EBA4DGjdUPeRWMNheI9MFodaVJeywW5cofe/YA\nv/2m/Hv2LJCcDFtpKeBiT75d8jNGyfM8UrtlZcpVCjZtAn78EfjxR9jczIv05RrkKX0qiUlIQFJY\nmNO2OWFhiI6PV75p2hQoLASSkpTj7wMGAE8+Cbg4zEBE5FBaqgy2tm93/fPDh5VlD7p2VS6UvXGj\n8l4ze3bN70tEnvLNN8o0ndGj/3979x4XdZX/D/zFRcVbYm6ggalNmHe8pqYZmTCaq6vZtmZpanbZ\nEii7uAH+vpYXLLus0sV2rdVqy9oumzmm2OZIZkYltha2qaGhIF5RvIBczu+PIygwIzDMfM7nfHg9\nHw8ewGeG4X1m3u/h8Dnnc45c+69nT+CNNxDz/PPMwSo4x8xAaQ4HNqSkIKCwEKVBQYiOjXU9ufHs\nWeC77+SaZdddJ7dTIkPpmmu6xk11sG+f3Ki9/OxXVpa8YOiPf6zTSu7lav2+VIXOuaZz7KZVUiIn\n9uflATEx1W/Pz5cXBISEVLvJ0xzUAZfLaEimTJFXZQ0ZIoc/+/Xz+bZLDYmuuaZr3HSeEEBurux0\nnTgB3Hpr9fvs2we8+aZciqBrV3kmTMGwj865pnPsplFYKIfBy4clv/tOXlE8Zgzw7LOqozMNT3KN\nQ5mKOJ3O+j1AcjJw551y49rYWHmK+IYb5PcK1Ls9RC5YLa9ctuf4cbnm08CBFybwP/20XIHdlQ4d\ngDlz5BmyHj2030GA9FAtd0tKgFdekScE/vIXOWS+cyc7ZV7Ayf+6CgsDbr9dfgByzsg337g8TQxA\nXgETHs79M4mMdPKknOy8c6cccrzxxur3ad5cHr//fnkWjKunk0pCyH/wz0/Ox9atwNq11e/XogVg\ngeUszIhDmQ3BqVPyUnk/vwtDn0OGyE1qA9k3d0XXXNM1bksRQq5J+N//yrNhnTvLIccuXYCEBMvU\nnM65pnPsPjVzplxjrKRErq1Z/jFkCNC4serotMQ5ZuSeEPI/9s2b5UUFmzcDzZrJfc6oGl1zTde4\ntVBcLNcAK590//PPwOLFFSuYV7JpkxxyvOoqy+5nq3Ou6Rx7vQghl08JDpabk1e1ebMcjenYkaMr\nXsI5ZhoxfO6Mn59c8XvKFHlF108/ybXTXNm9W271kpNT64e32lwgMgfT5NUf/iDXGxw9Gli+HDhy\nRM7pdHcW4cYb5R+3Kp0y07SHGoaCArk0xYIFclJ+SIi8yv+771zff+hQuSuEi04Zc9c41jinTp5x\nN2n46FG5afoDD8j11cqHP2NiZNES6U4I4ODBC2e/yj8//TQweHD1+6ekyD9qnGhPOklJkfPDBg+W\n+y0vWybPiJGpcSiT3CtfpXnzZvkxbJjcrLYB0DXXdI3bcFOmyNXwy+d+lX8ePFgO81CNdM41nWOv\ncOyYvOBr61agbVu5DyqZDueYkRrPPiuHdoYOBa6/3vXcBc3ommu6xl1vp05VPvNV/jkuTp75raqo\niOv+1ZPOuaZt7Lt3A/Pmyc5Ybi4wYICcnD9ypOuN60k5zjHTiKXG62+8Ec4jR4CXXwZsNnn24d57\n5bo2RPVQqU6EkItauvLKK8CMGXLYpnFjYOJEYNUqOXzjiqJOmaXqnnznxAnXx5s3l1NLPvhAXvFb\nPn/MgE4Zc9c4nGNG9TdwoNxGKipKXma9Y4e88rNZM9f3Lyuz7JVq5CWHDskVxdeuBVasuHAV5PTp\nwAsvVL//E0/IDyLdFBUB27fLs2Dlq+j7+8urJ6tOwm/XDrjvPjVxkmE4lEnGKikBrrxSrlg+dKj8\nGDQIuOwy1ZFVomuuaRX3qVNynsxVV1W/bf16OXG5S5cLc8CuvdYSw+RWoVWuVWGa2EtL5fyw8PDK\n64aVrztJ2uMcM9JDfr78z7D8ooLvv5ebtX/xherIKuiaa6aN+/BhOfxy8Rywo0flkOMbb6iOjjxg\n2lyrBcNiP3NGvr9t3Sq33XK1MwvnO1qaqeaYTZ8+HaGhoejZs2fFsblz5yI8PBx9+vRBnz598Nln\nn1XclpycjIiICHTp0gWpqam+Css0rDZeX6f2BAcDo0bJuRGbNsmzJq+84vq+x4/LFdRLS90+XJrD\ngSS7HXOjopBktyPN4ahb8FT/57CkBPjlF/dr4506BWRkyLW9HnkESEuTx2rolDXoOiGlPK4Jh0Ou\noN+vn1x8+LHH5BZH5865vr8mnTLmrnF8Nsds2rRpiI2NxZQpUyqO+fn5YdasWZg1a1al+2ZmZuK9\n995DZmYmDhw4gBEjRuCXX36BP+chNQyNG8vhKld27gSmTZNzjgYPvrCd1HXXAU2bIs3hwPr4eCzY\ns6fiRxLPfz1s9GgjoteeR8/hqVPAokUXzoD9+qscoh40yPVE5E6dgL/9zRfhE3ldrWpCCNfDjfv3\ny8W8J00C+vbl2ndUZz4dyty7dy/GjBmDHTt2AACeeuoptGjRAo8++mil+yUnJ8Pf3x+zZ88GAIwc\nORJz587FoEGDKger8alzqqdDh+QFBeXbSd1wA7B4MZLsdsx3cYZ1jt2OefXYYFfXXPMkbrfP4YAB\nmDdjhrzCtuofoJISYP58Ofera1cgIgJo2rQ+oZNmdK0RoObY3dZE9+6YN3iwHJqcPJkXnFCNPKkT\nw6/KTElJwZtvvon+/fvj+eefR3BwMHJycip1wsLDw3HgwAGXPz916lR07NgRABAcHIzevXsjKioK\nwIVTrfzegt+HhMDZujXw+98j6rnnACHgdDqxPy8P5ZznP0cBCCgsrNPjO51OrFixAgAq8ktXda0R\nt8/hL7/AuXo10LEjomJiqv/83Lny+2PHEHW+U2aqnOH3Xv3eSjUCXLpO9uflwQlZB8CFugg4cgTo\n3RvOAQOAq6++cLuJXid+b4E6ET6UlZUlevToUfF9Xl6eKCsrE2VlZSIxMVFMnz5dCCHEzJkzxdtv\nv11xv3vuuUd8+OGH1R7Px+EaauPGjapD8CpV7UmMihJCDipU+kiy2+v1uLrmmidxJ8bE+OQ59AbW\niXnpWiNC1By7mWtCFSvlrpE8qRNDJ3GFhITAz88Pfn5+mDFjBtLT0wEAYWFhyM7Orrjf/v37Ecb9\nvOhShABWrEBMRgYSq2yhk2CzITo2VlFg+omJi0OizVbpmNvncPlyICEB2LhRXk1GZEG1rom335bT\nLIi8yNA5Zrm5uWjXrh0A4MUXX8S3336Ld955B5mZmZg0aRLS09MrJv/v3r0bflXmteg8p4G86Ndf\n5SKLx44By5cjLTcXG1JSEFBYiNKgIETHxtZ74r+uueZp3GkOR+2ew4wM4KOPgNRUOfF/yBAgOhq4\n804gNNQLLSBd6FojQO1ir7Emzp2T8y8/+UQurj11KnDLLfJiJqLzTLWO2R133IFNmzbhyJEjCA0N\nxVNPPQWn04nt27fDz88PnTp1wmuvvYbQ82/mCxcuxBtvvIHAwEAsWbIEdru9erAavxGQF/3nP7KD\n8PDDQKBvpknqmmuGxn38uFx7bsMGuQTGtdca83vJFHStEcDLsRcUAP/614UdKh59FDh/IRuRqTpm\nvqDzG0FVTqezYuKgFVitPbrmmqniFgL4v/+Ty5wMGyb3+asjq+WVldpjqlyrI5/Fvns3kJ0N3HST\n9x9bMSvlrpFMtcAsETVwxcVAo0ZAcrLcdmb4cPn1tm2qIyPyjWuucd8p271b1gRRDXjGjMxr/Xrg\nxx/l0IDBdM0108ZdUCB3ediwQU6Wfvdd1RFRPZk212pBSezTpgFr18qFZ6dOBSIjjf39pASHMska\nDh+Wc5a2bAFefRVwMd/Q13TNNV3jBgBkZgK7dskzDibb1J6q0znXlMW+ezfw5pvAypVA69aygxYb\nCwQEGB8LGYJDmRopX5DOKrzSHiGAt94CevaUQ187dijplJEihw4BL70EhIXJqz3nzoXzpZcsNfxj\ntbqnOrrmGuDpp4GsLOCFF4C8PMBfjz/DzF3jGL7yP5FbycnABx/ITYD79VMdDRktKkp+nD0rt91K\nTZXrRDVqBNx/v+roiLzH31/OuRw+3PXt5fMzqUHiUCaZx4kT8so9Hy2BURe65pqucV+Su82it26V\nZyB+9zvjYyKtc830sc+fD3z4oRzqvPNO5rjGOJRJemvVyhSdMjIZV50yAHjtNcBmA/r3B558Uq6p\nxt0IyAoSEoDnngO++07+83HrrcDq1ZYa1if32DFTxGrj9XVqz5kzgJtN6okudsm8+sc/5IUiL7wg\nO/QJCcCVV5q6c2a1uicf8fcHbr5Zzrn97Tdg9Gjg2WeBffuUhcTcNQ47ZmSsDRuAHj3kVUlE9dW4\nsVy8dt48ObS5bx/QpEn1+xUWArm5xsdHVF+XXQbcc4+cd3nNNaqjIQNwjhkZ48gRYNYsIC1NLoEx\napTqiC5J11zTNW6f++47ICZGXvEZHS0/PNyNgCSdc03n2Kv59ltg0SI5H23kSF40YDKcY0bm9P77\n8ixZmzZywViTd8rIgvr3l8Oey5cDl18u/5C1bSsnWRPprEsX+Z76zDNA+/ZyQe7//ld1VFQPPGOm\niJX2HUtzOPD3uXNha94cJU2aICYuDsNGj75wh1Wr5CTtAQPUBVlHuuaarnG749M6OXVKXgkcFlb9\ntsJCICio2uE0hwOpS5cisKjIda7XwEp1r3Ou6Rz7Je3aJaeJrFwp10ubNq3SzfXJXyvlrpE8yTVe\nAkf1kuZwYH18PO7ZswdR548l7tkDABcKfuJEJbERXVKLFvLDlfvvB77++sKw5003IW3zZqyPj8eC\n8/kNuMh1IpUiIuRZ4KeeqnYFZ/l7NfPX/HjGjOolyW7H/NTUasfn2O2Yt26dgoi8Q9dc0zVu0ykr\nk8NBGzbIj6+/RlJAAOafOFHtrrrnuqd0zjWdY/eUVd+rzY5zzMhwgW6WJggoLDQ4EiIv8vcHevcG\nHn9c7kBw6BACO3RweVfmOumA79X6YMdMEausCVNyfmkCZ5XjpS7m5xDVldI6KSkBvvlGTqq+9VaU\n7Nzp8m51yXWr1D3pp6RxY5fHa5u/zF3jsGNG9RITF4dEm63SsYSAAERXmXRKpJVJk+RVxPfdB+Tk\nAPfdh5gVK6rnus2G6NhYRUES1V5MfDwSr7qq0jHmrzlxjhnVW5rDgQ0pKQgoLERpUBCiAwMxrFUr\n4J//VB2ax3TNNV3jVqK4WM4lc7Ug7ddfy4nUVfYorJbrsbENduK0zrmmc+yXlJcH/OtfcnkiF1dQ\nMn+N50musWNG3nfmDNC3r7xc+/bbVUfjEV1zTde4DVFcDGzbBjid8uOrr+SyAuPHq45MSzrnms6x\nV5OfD3z0kVyWKD0d+P3vgYcflmv3kXKc/K8Rq43XV2pPs2bybNmVVyqLh6zBa3Xy6qvVhiaRlWV4\np8xqdU+Kbd4MdOgArFkD3HuvzO233/ZJp4y5axyuY0a+0a+f6giooSkullt/tWtX/bY//EGevW3T\nxvi4iHxlwAC5P2xwsOpIyIs4lEnkgq65pmvcHnE1NPnHPwKvv646sgZB51zTJvbSUrm/8HvvAYsX\nAy1bqo6I6ogr/xNRw5CVBURGAp06yUnO990nh3B4Rox0J4ScK/buu3Kf4bZt5e4pOnQkySs4x0wR\nq43XW609ZALFxXAuW+b6D1KHDrJz9sMPwJIlcq6YBp0y1gnVKD4emDJFDk9+8YU8K/zEE8BllykN\ni7lrHJ4xI2MsXw4cPgw8+aTqSMisiouB77+Xw5KbNgFbtgBXXCHPFlSdQ+Pvr0VHjKjOkpPlPxt+\nfqojIUU4x4yMkZ0tLwhYt04upWFyuuaarnEDAIYNA06elEOTUVHADTew82ViOuea0thzcuQQZW6u\n3FWCLI1zzMi82rcHXnwRmDxZnhXhlk0NT/kZsZAQ4Oqrq9/++eeAm21jiLR27Bjw4Ydy3lhGhrxK\n+K67VEdFJsU5ZopYbby+Vu2ZNAno1g1ISPB5PGQCxcXA1q3AokXAyJHy7NcDDwBu9px01SlrkHVC\n1lJaKkcJUlOBmTPlmbIVK4ARI1RHVifMXePwjBkZx88PWLYM6NULGDvW5ZYhZCHLlwOvvSZf5wce\nkIsOc2iSGpqAAGDXLqBRI9WRkCY4x4yM9+23cpmDKvsQmomuuWZo3OVDk4cOyY52VUJwArOF6Voj\ngJdjLymRV0+++y4QEwPccYd3HpcsgXPMSA8DBqiOgDxRUgJ8992FBV23bJFzxSZMcN0xY6eMrKqs\nTG50/+67ctPwDh1kh4yjAOQFnGOmiNXG6z1pT5rDgSS7HXOjopBktyPN4fB+YFRJvZ7zM2eABx8E\nDh6UQ5NZWcD27cCcOT6Ll3VCRqlTbWzcKBc1bttW7jiRng488ojr7cAsgrlrHJ4xIyXSHA6sj4/H\ngj17Ko4lnv962OjRqsKytBqf8+JieUZs0yY5SblFi8oPcNllcrFLIoup8/vR8OHAjz/yrDD5BOeY\nkRJJdjvmp6ZWOz7Hbse8desURFSZrrl2qbjdPucREZjXqZMcmrHZ5HBMQoJc3JXIDV1rBKgeu9va\nuOwyzNu1Sy7xQuQBzjEjbQQWFbk8HlBYaHAkDYfb5/zMGeDPf5bzZS6/3OCoiNRzWxudOvFKYjIc\n55gpYrXx+rq2p6RJE5fHS7nwrM+4fc579ADGjTNlp6yh1wkZw21ttG0rl7sg5q6B2DEjJWLi4pB4\n1VWVjiXYbIiOjVUUkfXFxMUh0WardIzPORFrg8yFc8xIjbNnkda1KzY0a4aAkBCUBgUhOjbWNBP/\ndc21muJOcziwISUFAYWFpnvOSS+61gjgOvaK2jh5EqUtWyI6Lo61QfXmSZ2wY0ZqLFgAZGYCb79t\nyiubdM01XeMm/eicazrHTnrxJNc4lKmI1cbr69yexx4D/vY3U3bKGoTbbgOys1VHUaMGXydE6nOo\nIQAAHU1JREFUJsHcNQ6vyiQ1mjSRH6TGli2AP/8vIyIyGw5lErmga67VOu5WrYB9+4DgYN8HRZak\na40AesdOeuFQJhHVTAjg1CmgeXPVkRARURXsmClitfH6GtuzejVw/LghsVANioqAwECgUSPVkdSo\nwdUJqXXoENCvn+ooTIm5axx2zMj3vvoKmDEDyM9XHQkB8mxZ1X0wiQg4cwY4elR1FNTAcY4Z+dbh\nw0DfvsArrwBjxqiOptZ0zbVaxX3unNyAuW9fY4IiS9K1RoBLxL5zJzB+PPDzz8YHRZbEOWZkLqWl\nwJ13AnfdpVWnzPIaN2anjMiVwkKA28KRYuyYKWK18XqX7Zk3T56dmTfP8HjIGhpEnZB5FBYCTZuq\njsKUmLvGYceMfEMIoKwMWLVKTjQnIjK7s2d5xoyU4xwzIhd0zTVd4yb96JxrbmMvLAROngRCQowP\niizJkzrhqQwiIiJAni3jGTNSjEOZilhlvD7N4UCS3Y6pvXsjyW5HmsOhOiRyo/y1mtujB5IiIrR4\nraxSJ+Ws1h6rqKiNqCi+j7nB3DUOz5iRx9IcDqyPj8eCPXvgBBAFIHHPHgDAsNGjFUZGVV38WpVL\njI8HwNeKGjaXtcH3MVKIc8zIY0l2O+anplY7Psdux7x16xRE5D265pq7uK38WpEautYIUDl21gb5\nEtcxI0MFFhW5PB5QWGhwJFQTvlZErrE2yGzYMVNE+/H6ggKUHDxY8a3zoptKOXnWdEqaNHF53Oyv\nlfZ1UoXV2mMFutaG0Zi7xmHHjDxz8CBirrgCiWFhlQ4n2GyIjo1VFBS5ExMXh0SbrdIxvlZErA0y\nH84xo3pJcziwISUFAYWFKA0KQnRsrCUmzOqaa5eKu+K1On4cpS1bIvqRRyzxWpEautYIUD32itrI\nyEBpaCiik5NZG+QVntQJO2bkXlkZsGYNcM01QLduqqMxlK65pmvcpB+dc81t7KNGAbGxwC23GB8U\nWRIn/2vE1OP1Z84Ar74KdOki97nMz6/xR0zdHtKW1fLKau2xnOPHgdatVUdhSsxd43AdM7rg+HHg\nhReA114DBg8Gli8HbrgB8PNTHRkRke+xY0YmwKFMuuDIEWDuXCAuDujcWXU0Sumaa7rGTfrROdfc\nxn74sOyYBfKcBXkH55gReYmuuaZr3KQfnXNN59hJL5xjphFl4/VFRcA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