Powmow Stats.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as dates\n",
    "import scipy.stats as sp\n",
    "import statsmodels.api as sm\n",
    "from pandas.stats.api import ols\n",
    "import datetime\n",
    "#from datetime import datetime\n",
    "from pylab import rcParams\n",
    "rcParams['figure.figsize'] = 15, 10\n",
    "plt.rc('svg', fonttype = 'svgfont')\n",
    "#plt.rc('font', family='Arial', size=12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import wellapplication as wa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Operating System Windows 7\n",
      "Python Version 2.7.10 (default, May 23 2015, 09:40:32) [MSC v.1500 32 bit (Intel)]\n",
      "Pandas Version 0.18.1\n",
      "Numpy Version 1.11.0\n",
      "Matplotlib Version 1.5.1\n",
      "c:\\users\\paulinkenbrandt\\documents\\github\\env\\scripts\\python.exe\n"
     ]
    }
   ],
   "source": [
    "import sys\n",
    "import platform\n",
    "import matplotlib\n",
    "print(\"Operating System \" + platform.system() + \" \" + platform.release())\n",
    "print(\"Python Version \" + str(sys.version))\n",
    "print(\"Pandas Version \" + str(pd.__version__))\n",
    "print(\"Numpy Version \" + str(np.__version__))\n",
    "print(\"Matplotlib Version \" + str(matplotlib.__version__))\n",
    "print(sys.executable)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0.2.10'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wa.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "if platform.system() == 'Windows':\n",
    "    drive = 'M:'\n",
    "else:\n",
    "    drive = '/media/p/Transcend/'\n",
    " \n",
    "rootlocal = drive + '/PROJECTS/POWMOW/'\n",
    "OUT = rootlocal + 'all.csv'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv(OUT,index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "stations = [u'UL_JF_Q_gpm', u'UL_LW_Q_gpm', u'LL_LW_Q_gpm', u'LL_JF_Q_gpm', u'HL_LW_Q_gpm', u'HL_JF_Q_gpm', \n",
    "            u'NB_US_Q_gpm', u'NB_LW_Q_gpm', u'HLW_wl_elev_ft', u'EXW_wl_elev_ft']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "labels = ['Upper Lefty\\'s Cascade', 'Upper Lefty\\'s Loughlin', 'Lower Lefty\\'s Loughlin',\n",
    "            'Lower Lefty\\'s Cascade', 'Hidden Lake Loughlin', 'Hidden Lake Cascade', \n",
    "            'North Boundary UGS', 'North Boundary Loughlin', 'Hidden Lake Well', 'Exploration Well 2']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2012-10-01 00:00:00\n",
      "2016-03-17 13:30:00\n"
     ]
    }
   ],
   "source": [
    "print(df.index[0])\n",
    "print(df.index[-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x186f3870>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABC8AAALKCAYAAAAS6Hs2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3X14ZHV99/H3UcAFAlGwalcr1t6pbVyJsODgwy0I8dml\nVdfUSluklkzURq0J9rZqGVRutSRYTK2ZKGwpKjXaYgu1PsSyWnkYcRcCGoXUouidIlXauIFKeTj3\nH3OyDDEPk835bmbPvl/XlSvzmzlzzm8+jLmc7/5+30nSNEWSJEmSJKlVPWy9JyBJkiRJkrQcixeS\nJEmSJKmlWbyQJEmSJEktzeKFJEmSJElqaRYvJEmSJElSSztgvSeg4kqSxK+ykSRJkiTtlqZpsifP\nc+WFQqVpui4/Z5999rpdu6g/Zmqm+9KP2ZrrvvQzn+uVV67+Z73n3qo/vlfNdl/7MVdz3Zd+1pLr\nWli8kCRJkiRJLc3ihQpnZmaGXbt2rfc0CsVM82emccw2hrnGMNf8mWkcs41hrjHMNcZ65mrxQoWz\nceNGtmzZst7TKBQzzZ+ZxjHbGOYaw1zzZ6ZxzDaGucYw1xjrmWuy1n0n0lKSJEl9f0mS1Jzt21f/\nnJNOynsWkiTFSZKE1IadkiRJkiSpiCxeqHBmZmaYmZlZ72kUipnmz0zjmG0Mc41hrvkz0zhmG8Nc\nY5hrjPXM1W0jCuO2EUmSmue2EUlS0bltRJIkSZIkFZbFC0mSJEmS1NIsXqhw3N+WPzPNn5nGMdsY\n5hrDXPNnpnHMNoa5xjDXGPa8UCHZ80KSpObZ80KSVHT2vJAkSZIkSYVl8UKSJEmSJLU0ixcqHPe3\n5c9M82emccw2hrnGMNf8mWkcs41hrjHMNYY9L1RI9ryQJKl59ryQJBWdPS8kSZIkSVJhWbyQJEmS\nJEktzeKFCsf9bfkz0/yZaRyzjWGuMcw1f2Yax2xjmGsMc41hzwsVkj0vJElqnj0vJElFZ88LSZIk\nSZJUWBYvJEmSJElSS7N4ocJxf1v+zDR/ZhrHbGOYawxzzZ+ZxjHbGOYaw1xj2PNChWTPC0mSmmfP\nC0lS0dnzQpIkSZIkFZbFC0mSJEmS1NIsXqhw3N+WPzPNn5nGMdsY5hrDXPNnpnHMNoa5xjDXGPa8\nUCHZ80KSpObZ80KSVHT2vJAkSZIkSYVl8UKSJEmSJLU0ixcqHPe35c9M82emccw2hrnGMNf8mWkc\ns41hrjHMNYY9L1RI9ryQJKl59ryQJBWdPS8kSZIkSVJhWbyQJEmSJEktzeKFCsf9bfkz0/yZaRyz\njWGuMcw1f2Yax2xjmGsMc41hzwsVkj0vJElqnj0vJElFZ88LSZIkSZJUWBYvJEmSJElSS7N4ocJx\nf1v+zDR/ZhrHbGOYawxzzZ+ZxjHbGOYaw1xj2PNChWTPC0mSmmfPC0lS0dnzQpIkSZIkFZbFC0mS\nJEmS1NIsXqhw3N+WPzPNn5nGMdsY5hrDXPNnpnHMNoa5xjDXGPa8UCHZ80KSpObZ80KSVHT2vJAk\nSZIkSYVl8UKSJEmSJLU0ixcqHPe35c9M82emccw2hrnGMNf8mWkcs41hrjHMNYY9L1RI9ryQJKl5\n9ryQJBWdPS8kSZIkSVJhWbyQJEmSJEktzeKFCsf9bfkz0/yZaRyzjWGuMcw1f2Yax2xjmGsMc41h\nzwsVkj0vJElqnj0vJElFZ88LSZIkSZJUWBYvJEmSJElSS7N4ocJxf1v+zDR/ZhrHbGOYawxzzZ+Z\nxjHbGOYaw1xj2PNChWTPC0mSmmfPC0lS0a2l58UBeU+mFZXL5fuBSSABUuBvqtXqn+3BebYBl1er\n1b/LYU6/AdxcrVa/k43PAb5SrVb/eY3n3Qm8tlqt3lgulx8O/BdQrlarn8we/wbwB9Vq9YYlnn8i\nMFitVreUy+XTgeOq1Wr/gmNeA/xxNtwFvL5ard60lnlLkiRJkrSU/aJ4AdxVrVaP3dsXLZfLD6tW\nqw8s8fBvAlcA3wGoVqtn53TZrwHPAm4EuoCbs/Eny+XyIcCTqRdylpMucXvevwHPrVars+Vy+UXA\nR4ET1jpxSZIkSZIWs78UL35uWUq5XD4c+DqwpVqtTpfL5U8CX65WqxeWy+Vd1D+QvwD4d+DV1Wr1\nJwuefwpwHvBw4Drqqw/uLZfLtwKfArqBP8uu0wscCPwr8LvAMcCpwHPL5fI7gFcCf0q2qmOFc18M\nbKH+3+5V1Wr1lgUv7RrgxcAo9aLFKPDa7LFnADuq1WqaFTJGgKdmc6tUq9XLmwmzWq1e2zC8Fnh8\nM8/bW+b3YG3cuHGdZ1IcZpo/M41jtjHMNYa55s9M45htDHONYa4x1jPX/aV4cXC2nWJ+28j7qtXq\np8vl8huBi8vl8gXAI6vV6oXZ8YcCX69Wq28tl8vvAs4G3jR/snK5/AhgG/C8arX63XK5fDHweuBD\n2SE/rlarx2XHPqparX4su/0e4HXVavXD5XL5H2jYglIul5s99x3VanVzuVx+PXAWcOaC13oV8J7s\n9rOACvDb5XL50Gx8dfbYO6gXa15XLpfbga+Xy+WJVScLfwD8UzMHzszMPORNHjWev2+pxy+//HKu\nuOIK7rrrLg499NDdjxd53NHRwQ033NAy83G8/45f9rKXsWXLltC/Bxs3bvy5RlIzMzPs2LGDK664\noqXycBw77ujoYHp6umXPl8f40kvzP/9jHvMY7rjjjpZ4fY4dO3bsuFjjtdhfihd3L7ZtpFqtfrlc\nLvcAHwae1vDQ/cB4dvvjwN8ueOpTgH+rVqvfzcYXA2/gwQLDpxqOfVq5XH4v8EjqRZEvrDDXlc59\nWfZ7B/DyRV7TbeVy+aByufxY4CnVavWWcrl8HfVtHc9qOM8LgC3lcvmsbHwQ8MQV5vYQ5XL5ecAZ\nwHOWOqZSqey+vWnTJrZu3bqaS0iSJEmS9lGN305y7733rulc+0vxYlHlcjkBfh24CziS+haRxSzW\n92G5DqmNJaW/Ak6tVqvfzBpgntjE1JY79z3Z7/tZ+r/f1cCrePD11IBnA8dT31Yy75XVanW68Ynl\ncvlxTcyPcrl8NDAGvKharf7nUsc1Fi8WWrjUaG+PG6uAjh073rvj9fjf/44dO3Kbv2PHRR63t7c/\nZOXFes/HsWPHjh3vu+NDDz30If+/7Kab9vx7HvaX4sVSxYC3AlPA24Ft5XL5hGq1ej/1XhNbqa++\nOI16E8xGNwNHlcvlJ1er1X+j3sdi+xLXaANuL5fLB2bn+mF2/y7g8EWOX825l3IN8Bbq20/mx+cB\nt1er1V3ZfV+gvhWmH6BcLj99qW8gWahcLj+R+mqU321YIdIyVtqHtWXLFrZs2bI3p7TPc89g/sw0\nzlLZ+r/9tfE9G6MxV78qNR++V+OYbQxzjWGuMdaa69jY2B5fe38pXmxY0PPi89RXRPw+cHy1Wr27\nXC5/BXgncA71lRPPyPpd/Aj4rew8KUC1Wr2nXC6fAXwm+zrS64Bq4zEN3kW9Megd1FdAHJbd/zfA\nR8vlcj/1QsmenHspVwHnk62yqFart5fL5Ydl9897L/Dn5XL5xiyXW6k3EW3Gu4AjgL/MVq/cW61W\nn9Hkc8P5Byp/Zpo/M41jtjHMNYa55s9M45htDHONYa4x1jPXJE2b/Ty8/yiXy7uq1ephKx+p5SRJ\nkvr+kiSpOa68kCQVXZIkpGm6XJuEJT0s78kUhJ+4JUmSJElqEa68UJj1Wnnh/rb8mWn+zDSO2cYw\n1xj2vMif79U4ZhvDXGOYa4y15rqWlRcWLxTGbSOSJDXP4oUkqejcNiJJkiRJkgrL4oUkSZIkSWpp\nFi9UODMzM7v3YikfZpo/M41jtjHMNYa55s9M45htDHONYa4x1jNXe14ojD0vJElqnj0vJElFZ88L\nSZIkSZJUWBYvJEmSJElSS7N4ocJxf1v+zDR/ZhrHbGOYawxzzZ+ZxjHbGOYaw1xj2PNChWTPC0mS\nmmfPC0lS0dnzQpIkSZIkFZbFC0mSJEmS1NIsXqhw3N+WPzPNn5nGMdsY5hrDXPNnpnHMNoa5xjDX\nGPa8UCHZ80KSpObZ80KSVHT2vJAkSZIkSYVl8UKSJEmSJLU0ixcqHPe35c9M82emccw2hrnGMNf8\nmWkcs41hrjHMNYY9L1RI9ryQJKl59ryQJBWdPS8kSZIkSVJhWbyQJEmSJEktzeKFCsf9bfkz0/yZ\naRyzjWGuMcw1f2Yax2xjmGsMc41hzwsVkj0vJElqnj0vJElFZ88LSZIkSZJUWBYvJEmSJElSS7N4\nocJxf1v+zDR/ZhrHbGOYawxzzZ+ZxjHbGOYaw1xj2PNChWTPC0mSmmfPC0lS0dnzQpIkSZIkFZbF\nC0mSJEmS1NIsXqhw3N+WPzPNn5nGMdsY5hrDXPNnpnHMNoa5xjDXGPa8UCHZ80KSpObZ80KSVHT2\nvJAkSZIkSYVl8UKSJEmSJLU0ixcqHPe35c9M82emccw2hrnGMNf8mWkcs41hrjHMNYY9L1RI9ryQ\nJKl59ryQJBWdPS8kSZIkSVJhWbyQJEmSJEktzeKFCsf9bfkz0/yZaRyzjWGuMcw1f2Yax2xjmGsM\nc41hzwsVkj0vJElqnj0vJElFZ88LSZIkSZJUWBYvJEmSJElSS7N4ocJxf1v+zDR/ZhrHbGOYawxz\nzZ+ZxjHbGOYaw1xj2PNChWTPC0mSmmfPC0lS0dnzQpIkSZIkFZbFC0mSJEmS1NIsXqhw3N+WPzPN\nn5nGMdsY5hrDXPNnpnHMNoa5xjDXGPa8UCHZ80KSpObZ80KSVHT2vJAkSZIkSYVl8UKSJEmSJLU0\nixcqHPe35c9M82emccw2hrnGMNf8mWkcs41hrjHMNYY9L1RI9ryQJKl59ryQJBWdPS8kSZIkSVJh\n7ZfFi9GBrl0LxqePDnR9KLtdHh3o+p1FnnPU6EDXTUuc78rRga5jc5jXiaMDXZev4vg9uu7oQNfR\nowNd1zeMf3t0oOvu0YGuh2fjTaMDXZMrnGPb6EDXK9YyD0mSJEmSmnHAek9gnSy5l6FveLK6J8/L\n0d64xk3AL40OdB3aNzx5F/BMYAo4BvgG8Czgqr0wjxDze7A2bty4zjMpDjPNn5nGMdsY5hrDXPNn\npnHMNoa5xjDXGOuZ6/5avFjS6EDX2cCuvuHJ80cHujYDF1IvKHyp4ZgNwDbgaOBmYEPDY88HzgEO\nAr4LnNE3PHn36EDXrcDFwBbqub+qb3jylibn9C7gZcDBwNV9w5N9Cx5PgIuAH/QNT/7pUnOYP75v\neDIdHej6BlAC/hnYDHyYetFivnjxpezcxwLnA4cCPwZe2zc8+aNm5r1e/AOVPzPNn5nGMdsY5hrD\nXPNnpnHMNoa5xjDXGOuZ6365bQQ4ZHSga2f2cz31D/qLuQh4Y9/w5DEL7n89cFff8ORTgbOB4wBG\nB7qOBN4JnNI3PHkcsAN4a8Pz7ugbntwMjAJnrWK+I33Dk6W+4cmjs7m/tOGxA4FPALdkhYvF5jCw\nyDmvBp41OtB1CHA/sB14dvbYs4CrRwe6DgBGgFf2DU8eT71g839XMe+HWNiV1rFjx44dO97fx9d9\n4SO8v9zJ6EAX37m8/nPtpZ27b680Hh3o2v38+Z/VjK/7wkdaKg/Hjh07drz/jFdrf115cXff8OTu\nHg2jA12nU199QMN97UB73/Dk/PaJS4AXZbefC1wA0Dc8eVNDf4gTgE7gqmw1xIHUiwTzLst+7wBe\nvor5njI60HUWcAjwKOCbwD9mj1WBT/UNT75vmTlcs8g5r6Ze1PgacF3f8OStowNdvzI60PVo4NBs\n/FRgE/Cl7FwPA1b1jqtUKrtvb9q0ia1bt67m6ZIkSZKkfdT27dvZvn07ALt27Vr+4BXsl1+VOjrQ\n9dO+4cnDG8anA5v7hiffNL9thPp2kRv7hiePyo55GvCJvuHJo0cHui4DLugbntyePbYDOBPYCPx2\n3/DkaYtc89bsGndm21HO6xuePHnBMScCA33Dk6c23PcI4PvAsX3DkzPZ/NK+4cl3jw50XUm9V0UH\nsKVvePKe0YGuly01hwXXagO+R31LyC19w5OfGR3o+nvq20VO6hue3Do60LUJqPYNTz57kedvAy7v\nG578u2weA33Dkzsbj1mvr0qdr+i5VCw/Zpo/M41jtjHMNcbnPvk+bvzKJTyy7cB1uf7mF/Rx/Atf\nvy7XjuJ7NY7ZxjDXGOYaY625ruWrUvfXlRcrhtU3PDk7OtD1n6MDXc/qG568Gmj8BpKvAqcB27MP\n+Edn918L/MXoQNev9A1PfjfbkvH4vuHJ6TXMbQP1nhs/yQoOW4FPNzx+IXAiMD460PXyZufQNzw5\nNzrQ9QPgDOCk7O5rgLdQ738B9X4evzA60HVC3/Dktdk2kl/tG56cWsXr2ev8A5U/M82fmcYx2xjm\nGuMlr3k7L3nN2wHI/mFqVU46KdfpFILv1ThmG8NcY5hrDHte7H3NLgf4feAvRwe6di54zkeAttGB\nrm8BFepNLukbnvwx8Frg0mwrydXAU1Z5zZNHB7puGx3o+sHoQNdtwK8BHwW+BfwT8PWFr6NvePKD\nwPXAJSvMYaGrgIP6hif/Xza+Bvjl7Dn0DU/eS71Y8oHRga4bsms8c5HXs/8t35EkSZIk7TX75bYR\n7R3rtW1EkqR9kSsvJElFt5ZtI/vrygsV2MzMzJo72eqhzDR/ZhrHbGOYawxzzZ+ZxjHbGOYaw1xj\nrGeurrxQGFdeSJLUPFdeSJKKzpUXkiRJkiSpsCxeSJIkSZKklmbxQoXj/rb8mWn+zDSO2cYw1xjm\nmj8zjWO2Mcw1hrnGsOeFCsmeF5IkNc+eF5KkorPnhSRJkiRJKiyLF5IkSZIkqaVZvFDhuL8tf2aa\nPzONY7YxzDWGuebPTOOYbQxzjWGuMex5oUKy54UkSc2z54UkqejseSFJkiRJkgrL4oUkSZIkSWpp\nFi9UOO5vy5+Z5s9M45htDHONYa75M9M4ZhvDXGOYawx7XqiQ7HkhSVLz7HkhSSo6e15IkiRJkqTC\nsnghSZIkSZJamsULFY772/Jnpvkz0zhmG8NcY5hr/sw0jtnGMNcY5hrDnhcqJHteSJLUPHteSJKK\nzp4XkiRJkiSpsCxeSJIkSZKklmbxQoXj/rb8mWn+zDSO2cYw1xjmmj8zjWO2Mcw1hrnGsOeFCsme\nF5IkNc+eF5KkorPnhSRJkiRJKiyLF5IkSZIkqaVZvFDhuL8tf2aaPzONY7YxzDWGuebPTOOYbQxz\njWGuMex5oUKy54UkSc2z54UkqejseSFJkiRJkgrL4oUkSZIkSWppFi9UOO5vy5+Z5s9M45htDHON\nYa75M9M4ZhvDXGOYawx7XqiQ7HkhSVLz7HkhSSo6e15IkiRJkqTCsnghSZIkSZJamsULFY772/Jn\npvkz0zhmG8NcY5hr/sw0jtnGMNcY5hrDnhcqJHteSJLUPHteSJKKzp4XkiRJkiSpsCxeSJIkSZKk\nlmbxQoXj/rb8mWn+zDSO2cYw1xjmmj8zjWO2Mcw1hrnGsOeFCsmeF5IkNc+eF5KkorPnhSRJkiRJ\nKiyLF5IkSZIkqaVZvFDhuL8tf2aaPzONY7YxzDWGuebPTOOYbQxzjWGuMex5oUKy54UkSc2z54Uk\nqejseSFJkiRJkgrL4oUkSZIkSWppFi9UOO5vy5+Z5s9M45htDHONYa75M9M4ZhvDXGOYawx7XqiQ\n7HkhSVLz7HkhSSo6e15IkiRJkqTCsnghSZIkSZJamsULFY772/Jnpvkz0zhmG8NcY5hr/sw0jtnG\nMNcY5hrDnhcqJHteSJLUPHteSJKKzp4XkiRJkiSpsCxeSJIkSZKklhZavKiNtD9QG2k/r2E8UBtp\n/9NVnuPE2kj7MxvG22oj7a9o4nn310bad9ZG2m+ojbR/ozbSfsLqZr96tZH2W2sj7UcEnPfK2kj7\nsXmft+H8i2ZaG2k/qjbSflN2e3NtpP3Po+aQJ/e35c9M82emccw2hrnGMNf8mWkcs41hrjHMNcZ6\n5npA8PnvAV5RG2l/X6l/9s7VPrk20v5w4CRgDrhmlU+/q9Q/e2x2nhcA78/OFWlVDR5qI+0PK/XP\nPhA1mZykAKX+2R3AjnWeS1M2bty43lMoHDPNn5nGMdsY5hrDXPNnpnHMNoa5xjDXGOuZa3Tx4j5g\nDHgr8M7GB2oj7UcBFwFHAv8BnFHqn/1hbaR9G/Az4OnADPAs4L7aSPtpQH/29BNrI+0DwGOBt5X6\nZ/9ukWs3NgFpB3YXT7LVIC8CHgDOLfXPjtdG2k8EBkv9s1uyY0aA60r9s39dG2m/FbgY2EI9s1eV\n+mdvyVZZXApsBK5tvGZtpP0y4AnABuCCUv/sx7L7dwFV4BTgb2sj7ZtL/bMvzx7rBt5Q6p9tZmXJ\nI4CPAMcB9wIDpf7Z7bWR9tOB40r9s/3ZcZcD55X6Z79aG2l/HfA24D+BG4Gflfpn39RMpo351Eba\nzwaeCDwZ+KXs9Y2sNGdJkiRJkvZEdM+LFPgwcFptpP2wBY+NANtK/bNPBz6Zjec9vtQ/+8xS/+wr\ngVHgg6X+2WNL/bNXZY8/rtQ/+2zqxYQPLHHtg7NtI9+mXkB5D0C2PeLoUv/s04DnA+fVRtof2zDf\npdxR6p/dnM1nMLvvbOBfsnNdRv0D/bwzSv2zxwPHA2+ujbQ/Krv/UOCaUv/sMaX+2fcCT6mNtB85\n/xzgwmXm0OiNwAOl/tmjgdcAF9dG2g9a6nXURtp/kXoB6RnAs4FfW3BIM5k2nvcp1PMrAWdnq2Qk\nSZIkScpdeMPOUv/sHPVVC29e8NAzqa9aALiE+gfqeZ9e4bSfzc79beAxSxxzd1bw+HXgxdk1AJ4z\nf91S/+wdwHbqBYaVXJb93gE8Kbv9XODj2bk+R31Fw7y31Ebab6C+IuMJQEd2/31A46qGS4DfqY20\ntwMnAP/UxFzmX8f8tW8Gvgf86jLHPwPYXuqfnS31z97Pz2fcTKaN/rHUP3tfqX/2J8CPqK/YWNbC\nvVFR4/l9WHvrevvDeGZmhp07d7bMfIow3rlz589l3Erz25fHvl9jxo1/V1thPntr/MPa+7jivYdR\nG2nf/ZPn+Ir3HsbFbzuU2kg7B99U/5n72mG7b680Xuv1f1h7X0vlncfYv6/+fd3Xxvvr39fose/X\n1n+/rlb0tpF5FwA7gW0N9y23yuGuFc53T8PtFb8jttQ/e21tpP3RtZH2Ry/y8Pzz7wMaVw9sWOKa\n97N0bgns3mJxMlAq9c/eUxtpv7LhfD8r9c82vva/Ai7Pzv/pNfTAaHwdjUWpDYscs5hVZbrg+AdY\nIpNKpbL79qZNm9i6dWsTp16b+X1Ya/0fhx7knsH8Pe5xjzPXIOYaw1xj/EK7X/yWN/++xjHXGOYa\nw1xjrDbX7du3s337dgB27dq1pmsnabqqHpOrUhtp31Xqnz0su/0B4NXAhaX+2XfXRto/C3ym1D/7\n8dpI+2uBLaX+2VdmPS8un++5UBtpfytweKl/tpKNFz6++xrLXPvXgK9SXx3wm0Av8FLq/Ta+Tn3r\nw0HZMU+hvrVjJ1Bp6HmxudQ/e2dtpH0z9R4SJ9dG2i+gvp3k3NpI+4uBK4BfoL4q4nWl/tnfyK59\nPfDCrO/Ez823NtL+D8AxQHe2imLha7mSer+JHQ33/RHQWeqfPbM20v6rwBeor7x4BvVtH/+b+oqP\nb1LfCvKvwNey69wFTAA3lvpn37RUpllfkstL/bNHZwWZgVL/7KlZz4tdpf7Z87PjbwJeWuqfva1x\n3kmSpJHvL0mSov2w9j7+39ffv97TCPP4Z/wfnlB6+3pPQ5K0n0iShDRNm/nH8p8TvfKi8ZPrMPU+\nDfP3vQnYVhtpHyRr2LnIc6C+KuEztZH2U6k37Fz4+FKfjjfURtp38uAqgt/LVjxcln1t6iT1FQNn\nZdtHqI20j1P/sH8r9eLFStc4B7i0NtL+auBqYP7D++eBvtpI+7eAm3noN6Usdq5PAI9erHDR4Ira\nSPu92e1rgN8FRmsj7TdSb9h5eql/9l7gqtpI+/eAbwHfJvuGkFL/7ExtpP3/Ui/W3Al8B5hdYk6r\nrThYoZAkFdITSm/fax/us3+YWpWTTsp7FpIktabQlRdqTvbNJjtL/bPbVjx4bdc5tNQ/e1fWXPMy\n6qtg/j7qeuu18mJ+u4hLxfJjpvkz0zhmG8NcYzTmavEiH75X45htDHONYa4x1prrWlZeWLxYZ7WR\n9m8Ac8Dzs5UTkdc6D+gGHgF8sdQ/+5bI67ltRJKk5lm8kCQVncULtSSLF5IkNc/ihSSp6NZSvLDF\ntSRJkiRJamkWL1Q4jd89rHyYaf7MNI7ZxjDXGOaaPzONY7YxzDWGucZYz1zdNqIwbhuRJKl5bhuR\nJBWd20YkSZIkSVJhWbyQJEmSJEktzeKFCsf9bfkz0/yZaRyzjWGuMcw1f2Yax2xjmGsMc41hzwsV\nkj0vJElqnj0vJElFZ88LSZIkSZJUWBYvJEmSJElSS7N4ocJxf1v+zDR/ZhrHbGOYawxzzZ+ZxjHb\nGOYaw1xj2PNChWTPC0mSmmfPC0lS0dnzQpIkSZIkFZbFC0mSJEmS1NIsXqhw3N+WPzPNn5nGMdsY\n5hrDXPNnpnHMNoa5xjDXGPa8UCHZ80KSpObZ80KSVHT2vJAkSZIkSYVl8UKSJEmSJLU0ixcqHPe3\n5c9M82emccw2hrnGMNf8mWkcs41hrjHMNYY9L1RI9ryQJKl59ryQJBWdPS8kSZIkSVJhWbyQJEmS\nJEktzeKFCsf9bfkz0/yZaRyzjWGuMcw1f2Yax2xjmGsMc41hzwsVkj0vJElqnj0vJElFZ88LSZIk\nSZJUWBYvJEmSJElSS7N4ocJxf1v+zDR/ZhrHbGOYawxzzZ+ZxjHbGOYaw1xj2PNChWTPC0mSmmfP\nC0lS0dnzQpIkSZIkFZbFC0mSJEmS1NIsXqhw3N+WPzPNn5nGMdsY5hrDXPNnpnHMNoa5xjDXGPa8\nUCHZ80KSpObZ80KSVHT2vJAkSZIkSYVl8UKSJEmSJLU0ixcqHPe35c9M82emccw2hrnGMNf8mWkc\ns41hrjH6XcYOAAAgAElEQVTMNYY9L1RI9ryQJKl59ryQJBWdPS8kSZIkSVJhWbyQJEmSJEktzeKF\nCsf9bfkz0/yZaRyzjWGuMcw1f2Yax2xjmGsMc41hzwsVkj0vJElqnj0vJElFZ88LSZIkSZJUWBYv\nJEmSJElSS7N4ocJxf1v+zDR/ZhrHbGOYawxzzZ+ZxjHbGOYaw1xj2PNChWTPC0mSmmfPC0lS0dnz\nQpIkSZIkFZbFC0mSJEmS1NIsXqhw3N+WPzPNn5nGMdsY5hrDXPNnpnHMNoa5xjDXGPa8UCHZ80KS\npObZ80KSVHT2vJAkSZIkSYVl8UKSJEmSJLU0ixcqHPe35c9M82emccw2hrnGMNf8mWkcs41hrjHM\nNYY9L1ZpYrztAWC4u2furGw8ABza3TP37lWc40Tgf7p75q7JxtuAy7t75v5uhefdD0xSL/zcB/xh\nd8/ctXv2Spqe663A5u6euTsjz5tlMtjdM7clG78IOAc4DPgZcDNwVnfP3A8nxttOAP4ceARwEPCp\nhfnb80KSpObZ80KSVHT7Y8+Le4BXTIy3HbEnT54Yb3s4cBLwrD14+l3dPXPHdvfMPR34E+D9ezKH\nVVpVBWBivK3Z/66LnTfNzrEJ+BDwu909c53dPXPHAp8AnpQd91fAH3T3zB0DbALGVzNHSZIkSZKa\ndcB6T2AP3QeMAW8F3tn4wMR421HARcCRwH8AZ2QrBbZRXz3wdGCGeuHivonxttOA/uzpJ2arOB4L\nvG2JVRiNVaJ2YPdqiInxtvOAFwEPAOd298yNL7KaYQS4rrtn7q+zlQ8XA1uo/7d4VXfP3C1ZUeZS\nYCNwbeM1J8bbLgOeAGwALujumftYdv8uoAqcAvztxHjb5u6euZdnj3UDb+jumXvFMq9lobdlr+GW\n+Tu6e+auaHj8F4AfZfenwHeWOZckSZIkSXtsX115kQIfBk6bGG87bMFjI8C2bGXEJ7PxvMd398w9\ns7tn7pXAKPDBbBXFVdnjj+vumXs29WLCB5a49sET4207J8bbvk29gPIegInxtlcAR3f3zD0NeD5w\n3sR422Mb5ruUO7p75jZn8xnM7jsb+JfsXJcBT2w4/ozunrnjgeOBN0+Mtz0qu/9Q4Jrunrljunvm\n3gs8ZWK87cj55wAXLjOHxTwV2LnM438O3Dwx3va3E+NtvRPjbY9Y5fnDuL8tf2aaPzONY7YxzDWG\nuebPTOOYbQxzjWGuMdYz1321eEF3z9wc9VULb17w0DOpr1oAuAR4dsNjn17htJ/Nzv1t4DFLHHN3\nVvD4deDF2TUAnjN/3e6euTuA7dQLDCu5LPu9gwe3ZDwX+Hh2rs8B/9lw/FsmxttuoL4i4wlAR3b/\nfUDjSpFLgN+ZGG9rB04A/mmRay+5baTRxHjbERPjbddPjLfdPDHe9tZsXu8BNgNfBH4b+PzyL5Of\ne5NHjTdu3MjGjRv32vX2h/HGjRtZqJXmty+O4aG5rvd8ijT2/Roznv/b2irzKcp44fv1/rlzuf07\nh3DfHW27f5YbT4y38TejhzAx3sZ3v3nuur+eVhiDf1+jxv599e/rvjT2/dr679fV2le3jcy7gPrq\ngG0N9y23yuGuFc53T8PtFZuIdPfMXTsx3vboifG2Ry/y8Pzz7wMe3nD/hiWueT9L//dIYHdDzZOB\nUnfP3D0T421XNpzvZ9n2jXl/BVyenf/T3T1zDyxy3h8Dj+LBrS9HZPcBfJN6ceKmrKHnMdmWmrb5\nJ3f3zN0KVCfG2z4G/MfEeNujunvmGgstVCqV3bc3bdrE1q1bl3iJkiRJkqQi2b59O9u3bwdg165d\nazrXvvptI7u6e+YOy25/AHg1cGF3z9y7J8bbPgt8prtn7uMT422vBbZ098y9cuG3iWQrCA7v7pmr\nZOOFj+++xjLX/jXgq9R7ZPwm0Au8lHq/ja8DJerfxPFV4CnUt3bsBCoNPS82d/fM3Tkx3rYZOK+7\nZ+7kifG2C6hvJzl3YrztxcAV1HtMPAd4XXfP3G9k174eeGF3z9xXF5vvxHjbPwDHAN3dPXM3L/Ja\n/gz47+6eubOzJqbjwGVZdpuor+Q4tbtn7jvZ8e8Ckiznl2SrQpgYb/t14CvAYxsLKH7biCRJzdu+\nvb7yIr37fXv0/F/ufDu/sukd+U5KkqQcreXbRvbVlReNn4iHgTc23PcmYNvEeNsgWcPORZ4D9VUJ\nn5kYbzuVesPOhY8v9al7w8R4204eXFnxe9kH9suyrw+dpN6w86xs+wgT423j1Fcy3MpD+0gsdY1z\ngEsnxtteDVwN3Jbd/3mgb2K87VvUv7b0mhXO9Qng0YsVLjLvBT6SbUMB+Hx3z9z8dpVvToy3vRn4\n66yvyI+zeZydHfu7E+Nt5wN3U19d8poFKz/WzfxypMWWimnPmGn+zDSO2cYw1xgLc3142zugrfkC\nhF+V+vN8r8Yx2xjmGsNcY6xnrvvkygs1J/tmk53dPXPbVjw4gCsvJElqXraqdlUsXkiS9iX748oL\nrWBivO0bwBz1r5OVJEmSJGmfZfGioLp75o5b7zlIkiRJkpSHffarUqWlzMz4nc55M9P8mWkcs41h\nrjHMNX9mGsdsY5hrDHONsZ652vNCYex5IUlS8+x5IUkqurX0vHDlhSRJkiRJamkWLyRJkiRJUkuz\neKHCcX9b/sw0f2Yax2xjmGsMc82fmcYx2xjmGsNcY9jzQoVkzwtJkppnzwtJUtHZ80KSJEmSJBWW\nxQtJkiRJktTSLF6ocNzflj8zzZ+ZxjHbGOYaw1zzZ6ZxzDaGucYw1xj2vFAh2fNCkqTm2fNCklR0\n9ryQJEmSJEmFZfFCkiRJkiS1NIsXKhz3t+XPTPNnpnHMNoa5xjDX/JlpHLONYa4xzDWGPS9USPa8\nkCSpefa8kCQVnT0vJEmSJElSYVm8kCRJkiRJLc3ihQrH/W35M9P8mWkcs41hrjHMNX9mGsdsY5hr\nDHONYc8LFZI9LyRJap49LyRJRWfPC0mSJEmSVFgWLyRJkiRJUkuzeKHCcX9b/sw0f2Yax2xjmGsM\nc82fmcYx2xjmGsNcY9jzQoVkzwtJkppnzwtJUtHZ80KSJEmSJBWWxQtJkiRJktTSLF6ocNzflj8z\nzZ+ZxjHbGOYaw1zzZ6ZxzDaGucYw1xj2vFAh2fNCkqTm2fNCklR09ryQJEmSJEmFZfFCkiRJkiS1\nNIsXKhz3t+XPTPNnpnHMNoa5xjDX/JlpHLONYa4xzDWGPS9USPa8kCSpefa8kCQVnT0vJEmSJElS\nYVm8kCRJkiRJLc3ihQrH/W35M9P8mWkcs41hrjHMNX9mGsdsY5hrDHONYc8LFZI9LyRJap49LyRJ\nRWfPC0mSJEmSVFgWLyRJkiRJUkuzeKHCcX9b/sw0f2Yax2xjmGsMc82fmcYx2xjmGsNcY9jzQoVk\nzwtJkppnzwtJUtHZ80KSJEmSJBWWxQtJkiRJktTSLF6ocNzflj8zzZ+ZxjHbGOYaw1zzZ6ZxzDaG\nucYw1xj2vFAh2fNCkqTm2fNCklR09ryQJEmSJEmFZfFCkiRJkiS1NIsXKhz3t+XPTPNnpnHMNoa5\nxjDX/JlpHLONYa4xzDWGPS9USPa8kCSpefa8kCQVnT0vJEmSJElSYVm8kCRJkiRJLc3ihQrH/W35\nM9P8mWkcs41hrjHMNX9mGsdsY5hrDHONYc8LFZI9LyRJap49LyRJRVfonheDY527FoxPHxzr/FB2\nuzw41vk7izznqMGxzpuWON+Vg2Odx+YwrxMHxzovX8Xxa7ru4Fjn4OBY57cHxzp3Do511hZ73ZFW\n+3olSZIkScrLAes9gSYs+U/3Q71T1T15Xo72yrKCwbHOPuAU4Lih3qm7Bsc624CX741rL+AyCkmS\nJEnSXrcvFC+WNDjWeTawa6h36vzBsc7NwIXUP2B/qeGYDcA24GjgZmBDw2PPB84BDgK+C5wx1Dt1\n9+BY563AxcAW6hm9aqh36pYm5/Qu4GXAwcDVQ71TfQseT4CLgB8M9U796VJzWHDatwPPHeqdugtg\nqHdqDrhkuesNjnW+CSgD9wJTQ71Trxkc6zwUGAGOAx4AzhnqnbpscKzzL7P7DgY+M9Q7dU52jhcB\nHwTuAq5qeA2HZOd5KnAgUBnqnWqZVRnze7A2bty4zjMpDjPNn5nGMdsY5hrDXPNnpnHMNoa5xjDX\nGOuZa1PbRpIkOSpJku7s9sFJkhwWO62HOCTbKrFzcKzzeuof9BdzEfDGod6pYxbc/3rgrqHeqacC\nZ1P/kM7gWOeRwDuBU4Z6p44DdgBvbXjeHUO9U5uBUeCsVcx3ZKh3qjTUO3V0NveXNjx2IPAJ4Jas\ncLHYHAYaTzY41nkY0DbUO/X9VV7vj4GnD/VOPR2YL6C8C/ivod6po7P7/zm7/0+GeqeeAXQBJw2O\ndW4aHOt8BDAGvDSb2+MarvkO4MtDvVMnACcDQ4NjnQevIqNQGzdu9I9Uzsw0f2Yax2xjmGsMc82f\nmcYx2xjmGsNcY6xnriuuvEiS5EygFzgC+BXgCdQ/0J8SO7Xd7h7qndrdK2JwrPN0YHPjAYNjne1A\n+1Dv1PzqgEuAF2W3nwtcADDUO3XT4FjnZHb/CUAncFW2GuJA4OqG016W/d7B6rZonDI41nkWcAjw\nKOCbwD9mj1WBTw31Tr1vmTlcs4prLXe9SeCTg2OdnwU+mx3bDfzW/BOHeqdms5uvHhzrPJP6++Fx\n2ZweDvzbUO/Uv2XHfBw4M7v9AmBLdl2orxp5IvWVLUuamZl5yBvdsWPHjh23xviT/3QuO3/wid3j\nuf+6l7ZHHuh4HxhfccueP//5x76BFx73h+v+/nPs2LFjx/vPeC2a2TbyRuAZQA0gTdPpJEkes6ar\nxmi2Y2nS8PuLQ71Tpy1x3D3Z7/tpcntNtlrhw8CxQ71TM9m2lg0Nh1wFPG9wrPP8od6pe5qYA0O9\nU7sGxzrnBsc6nzTUO/W9VVzvpdQLN6cC7xgc63zaEnN+EvXVHpuHeqd+OjjWua3hHEtlmgCvHOqd\nml5q3vMqlcru25s2bWLr1q0rPUWSJEmSVADbt29ne/Z1Wrt27Vr+4BWs+FWpSZLU0jQtJUlyfZqm\nxyRJcgCwM03To9d05SYNjnXuGuqdOqxhfDr1D9pvWtDz4gbgDUO9U1cPjnV+AHjxUO/U0YNjnX8E\ndA71Tp05ONa5CbgeKAG3Ad+gvmXju1kfh8cP9U5NZz0vNg/1Tt2Z9dI4b6h36uQF8zoRGBzqndrS\ncF878B3gSTy4iuLTQ71T7x4c67ySepHgROAk6qs5jlhqDguu9XrqfS1enRUzDgVeAfzDMtc7aqh3\n6vuDY50HArdSX03xdmDDUO/UH2XnfST1FRMXA8cCj6G+YuNtwKeor6R43lDv1K2DY52fpL595dTB\nsc5zgcOHeqf6s/M8fah36oaF/+3W66tS5yt6jVU+rY2Z5s9M45jt6n3hG3/Bl3b+5bLHzP3XvQAP\n+Rd8rd165jq/8qJo/BsQx2xjmGsMc42x1lzX8lWpzawo+EqSJH8CHJwkyfOBNwB7szljs59+fx+4\naHCs8wHgiw33fwTYNjjW+S3g29SLBQz1Tv14cKzztcCl2QqGlHr/ielVXPPkwbHO26ivREiBVwEf\nBb4F/Dvw9YWvY6h36oNZkeOSod6p05aZw25DvVMfyb5h5LrBsc7/od6Ec3iod2p2cKzzYwuvNzjW\neQDw8cGxzsOzuV2Qrap4L/Dh7Gtk76PesPOzWeHn28APgK9l17xncKyzDHxucKzzLuBfgLZsSu8B\n/nxwrPPG7Py3Ul/h0RL8A5U/M82fmcYx29V74XF/WMgPsfua7B+mVuWkk/Kexb7PvwFxzDaGucYw\n1xjrmWszKy8eBryOep+DBPgC8LF1+Sd17VPWa+WFJEn7IosXkqSiC115kabpA9RXE3x0Ty4gSZIk\nSZK0Fit+VWqSJC9LkuT6JEnuTJLkp0mS7EqS5Kd7Y3LSnpiZmVlzJ1s9lJnmz0zjmG0Mc41hrvkz\n0zhmG8NcY5hrjPXMtZltI/9KvTnkTe4B0Gq4bUSSpOa5bUSSVHRr2Tay4soL6k0cv+mnUEmSJEmS\ntB6a+baRtwGfS5LkK8A983emaXp+2KwkSZIkSZIyzRQvzgXmgA3AQbHTkdbO73TOn5nmz0zjmG0M\nc41hrvkz0zhmG8NcY5hrjPXMtZmeF99M03TTXpqPCsSeF5IkNc+eF5KkoovuefG5JElesCcnlyRJ\nkiRJWqtmihevBz6fJMl/+1WpkiRJkiRpb1ux50WapoftjYlIeXF/W/7MNH9mGsdsY5hrDHPNn5nG\nMdsY5hrDXGO0dM8LgCRJHgV0UG/aCUCapl8NnJcKwJ4XkiQ1z54XkqSiW0vPixVXXiRJ8gfAm4En\nADcAJwDXACfvyQUlSZIkSZJWo5meF28Gjge+n6bp84BjgP8KnZUkSZIkSVKmmeLFz9I0/RlAkiSP\nSNP0O8BTYqcl7bmZmZnde7GUDzPNn5nGMdsY5hrDXPNnpnHMNoa5xjDXGOuZ64o9L5IkuQw4A3gL\n9a0i/wkcmKbpS+Knp32ZPS8kSWqePS8kSUUX2vMiTdOXZzcrSZJcCbQDn9+Ti0mSJEmSJK3WisWL\nRmmafiVqIpIkSZIkSYtZsniRJMkuIAUal3Sk2XMOStN0VYUPaW/xO53zZ6b5M9M4ZhvDXGOYa/7M\nNI7ZxjDXGOYaYz1zXbHnxe4Dk6QNeCNQBi5L03QgcmLa99nzQpKk5tnzQpJUdGvpebHit40kSfLI\nJEkqwI3AYcDxFi4kSZIkSdLesty2kUcDA8BvARcBx6RpOru3JiZJkiRJkgTLN+z8PvAfwDbgbuB1\nSfLg6o40Tc+PnZq0Z9zflj8zzZ+ZxjHbGOYaw1zzZ6ZxzDaGucYw1xgt2fMi2yqyZMOCNE3PCZqT\nCsKeF5IkNc+eF5KkoltLz4slV16kaVrZ4xlJkiRJkiTlZMWGnZIkSZIkSevJ4oUKZ2ZmZvdeLOXD\nTPNnpnHMNoa5xjDX/JlpHLONYa4xzDXGeua6ZM8Laa3seSFJUvPseSFJKrqQnhcNJ38E8ErgSY3H\np2n67j25oCRJkiRJ0mqsWLwA/h6YBXYA98ROR5IkSZIk6aGaKV48IU3TF4XPRMqJ3+mcPzPNn5nG\nMdsY5hrDXPNnpnHMNoa5xjDXGOuZ64o9L5IkGQNG0jS9ae9MSUVhzwtJkppnzwtJUtGF9rwAngO8\nNkmSW6lvG0mANE3To/fkgpIkSZIkSavRTPHixeGzkCRJkiRJWsLDVjogTdPvA48EtmQ/j8zuk1qS\n3+mcPzPNn5nGMdsY5hrDXPNnpnHMNoa5xjDXGOuZazM9L94MnAn8XXbXy4GxNE1HguemfZw9LyRJ\nap49LyRJRRfd8+J1QClN07uyi30AuAaweCFJkiRJksKtuG2EeoPO+xvG92f3SZIkSZIkhWtm5cU2\noJYkyWXZ+DeBC+OmJK2N3+mcPzPNn5nGMdsY5hrDXPNnpnHMNoa5xjDXGOuZ64o9LwCSJDmW+lem\nAvxLmqbXh85KhWDPC0mSmmfPC0lS0YX0vEiS5PA0TX+aJMkRwPeyn/nHjkjT9M49uaAkSZIkSdJq\nLLdt5JPAy4AdQOM/nyfZ+MmB85IkSZIkSQKWKV6kafqy7Pcv773pSGvn/rb8mWn+zDSO2cYw1xjm\nmj8zjWO2Mcw1hrnGaOmeF0mSfDlN01NWuk9ayJ4XkiQ1z54XkqSii+p5sQE4BHh0kiSP4sGvRz0c\nePyeXEySJEmSJGm1lut5UQbeAmyk3vdivnjxU+AvguclSZIkSZIELN/z4gLggiRJ+tM0HdmLc5LW\nxP1t+TPT/JlpHLONYa4xzDV/ZhrHbGOYawxzjdHSPS8AkiTZBHQCG+bvS9P0rwPnpQKw54UkSc2z\n54UkqehCel40nPxs4CTqxYvPAS8GvgZYvJAkSZIkSeEe1sQxW4FTgNvTND0D6ALaQ2clSZIkSZKU\naaZ48d9pmj4A3JckyeHAHcAvxU5L2nMzMzO792IpH2aaPzONY7YxzDWGuebPTOOYbQxzjWGuMdYz\n1xV7XiRJ8pfAnwCvBgaAOeCGbBWGtCR7XkiS1Dx7XkiSii6050Wapm/Ibo4mSfJ54PA0TW/ck4tJ\nkiRJkiSt1orbRpIk+fL87TRNv5em6Y2N90WbLlV2LRifPl2qfCi7XZ4uVX5nkeccNV2q3LTE+a6c\nLlWOzWFeJ06XKpev4vg9vu50qbJtulR5xZ48t8nznz1dqrx1icd2Zb9/cbpUGY+agyRJkiRJS1ly\n5UWSJBuAQ4BHJ0nyKGB+acfhwOP3wtzmLbnvoKNWqe7J83K0P+yJSAE6apV/B3rWeS5N8Tud82em\n+TPTOGYbw1xjmGv+zDSO2cYw1xjmGmM9c11u20gZeAuwEdjBg8WLnwJ/ETyvpkyXKmcDuzpqlfOn\nS5XNwIXUP2x/qeGYDcA24GjgZmBDw2PPB84BDgK+C5zRUavcPV2q3ApcDGyhntGrOmqVW5qc07uA\nlwEHA1d31Cp9Cx5PgIuAH3TUKn+61ByavNZ5wIuAB4BzO2qV8elS5URgsKNW2ZIdMwJc11Gr/PV0\nqfISYJh635KrgSfPHwc8dbpUuZJ6M9YLOmqVkQXXOgq4oqNWedp0qXI6cCr14taTgc921Cp/3Myc\n9wb/QOXPTPNnpnHMNoa5xjDX/JlpHLONYa4xzDXGeua65LaRNE0vSNP0l4HBNE2fnKbpL2c/XWma\n7s3ixSHTpcrO7Od66h/0F3MR8MaOWuWYBfe/Hriro1Z5KnA2cBzAdKlyJPBO4JSOWuU46gWaxq0T\nd3TUKpuBUeCsVcx3pKNWKXXUKkdnc39pw2MHAp8AbskKF4vNYaCZi2TbSI7uqFWeBjwfOG+6VHls\n9vDPrQiZLlUekb2WF3bUKscDv7DguKdk5ykBZ0+XKg9f5LKNx3cBr6JeFPqt6VJlb67GkSRJkiTt\nR5YsXiRJcnySJI9L03QkG/9ekiR/nyTJh5IkOWLvTZG7O2qVY7OfY6gXIB5iulRpB9o7apWrsrsu\naXj4ucDHATpqlZuAyez+E4BO4KqsKPJ7wBMbnndZ9nsHcNQq5nvKdKly7XSpciPwPOCpDY9VgZs6\napX3NTmH5TwHuDR7XXcA24Hjlzn+14DvdtQqt2XjSxc8/o8dtcp9HbXKT4AfAY9leV/uqFXmOmqV\ne4Apmsho4VfqOHbs2LFjx60+/slHr+RrxwwwXars/okaP/6P6z8H/NHA7tsrjdd6/Z989MqWytux\nY8eOHe8/49VabttIFegGSJLkucD7gX7g6cAYsHVNV85fs1+3kjT8/mJHrXLaEsfdk/2+nya+lQV2\nr274MHBsR60yk21r2dBwyFXA86ZLlfOzD/0rzWE15l/XfUDjqokNixyzmHsabj/Ayq+58fglM6pU\nKrtvb9q0ia1b4982a/0fhX7ezMwMt99+u8vvcnT77bcDLmmM4Ps1xvzfVnPN14/+Zxc/vneOxx50\n2HpPpTD8+xrHv68x/Psaw/drjNW+X7dv38727dsB2LVr1/IHryBJ08V7TiZJMpmmaVd2+8PAf6Rp\nWsnGN6Rp+vQ1XblJ06XKro5a5bCG8enA5o5a5U0Lel7cALyho1a5erpU+QDw4o5a5ejpUuWPgM6O\nWuXM6VJlE3A99a0RtwHfoL5l47vTpcohwOM7apXprOfF5o5a5c6sl8Z5HbXKyQvm9ZDeEtl97cB3\ngCdR3yJyDfDpjlrl3Vk/iQHgROAk4OXAEUvNYcG1tlHvN/G3Dfe9HOgFXgocCXw9e10HAV+lvg3k\nUGAnUAHGqff8+N8dtcpt06XKx4HDO2qVUxtzzM59E/DS7LhdHbXKYVnPi8uzTHf/N8iOvzzL6KuN\n806SJF3q/SVJ0r7gJx+9kjs/9pX1nkaYI/7gRI4883nrPQ1J0n4iSRLSNG124cFDLPev6w9PkuSA\nNE3vA06h/kG5meflrdlPv78PXDRdqjwAfLHh/o8A26ZLlW8B36ZeLKCjVvnxdKnyWuDSbMVESr3/\nxPQqrnnydKlyG/UVDSn1HhAfBb4F/Dv1gsJDXkdHrfLBrMhxSUetctoyc1hodLpU+WB2rds6apVn\nT5cqz6S+DeYB4Kxs+wjZV5p+E7iVevGCjlrlZ9OlyhuAL0yXKnPAdcu8znSJ20uxQiFJKqQjz3ze\nXvtwn/3D1KqcdFLes5AkqTUtt/LiHcBLgB9T78NwbJqmaZIk/wu4OE3TZ++9aSoP06XKoR21yl3Z\n7Q9Tbxx6QdT1XHkhSVLzLF5IkoouZOVFmqbnJknyZeAXgS82fAp9GPXeF9r3nJlt+TiI+oqM6jrP\nJ4T7BvNnpvkz0zhmG8NcY5hr/sw0jtnGMNcY5hpjPXNdcuWFtFauvJAkqXmuvJAkFd1aVl4s+VWp\nkiRJkiRJrcDihSRJkiRJamkWL1Q4MzMzu/diKR9mmj8zjWO2Mcw1hrnmz0zjmG0Mc41hrjHWM1d7\nXiiMPS8kSWqePS8kSUVnzwtJkiRJklRYFi8kSZIkSVJLs3ihwnF/W/7MNH9mGsdsY5hrDHPNn5nG\nMdsY5hrDXGPY80KFZM8LSZKaZ88LSVLR2fNCkiRJkiQVlsULSZIkSZLU0ixeqHDc35Y/M82fmcYx\n2xjmGsNc82emccw2hrnGMNcY9rxQIdnzQpKk5tnzQpJUdPa8kCRJkiRJhWXxQpIkSZIktTSLFyoc\n97flz0zzZ6ZxzDaGucYw1/yZaRyzjWGuMcw1hj0vVEj2vJAkqXn2vJAkFZ09LyRJkiRJUmFZvJAk\nSZIkSS3N4oUKx/1t+TPT/JlpHLONYa4xzDV/ZhrHbGOYawxzjWHPCxWSPS8kSWqePS8kSUVnzwvp\n/7d37+GRVWW+x7+Lm6LcBQfbTFAUxwvXRkBHFFTwckRgYns0ORGsEJ2JDkbAS854HFoOZ4yjMkZG\n40XQ9HgAACAASURBVCUkXmKiM0wEwVFE7VYQR5EGGlBxVDSWLYoXoEWQ2z5/7JWmCEl3dWevrl2b\n7+d58lB7165dq36pbDpv1npLkiRJklRZFi8kSZIkSVKpWbxQ5bi+rXhmWjwzTcds0zDXNMy1eGaa\njtmmYa5pmGsa9rxQJdnzQpKk5tnzQpJUdfa8kCRJkiRJlWXxQpIkSZIklZrFC1WO69uKZ6bFM9N0\nzDYNc03DXItnpumYbRrmmoa5pmHPC1WSPS8kSWqePS8kSVVnzwtJkiRJklRZFi8kSZIkSVKpWbxQ\n5bi+rXhmWjwzTcds0zDXNMy1eGaajtmmYa5pmGsa9rxQJdnzQpKk5tnzQpJUdfa8kCRJkiRJlWXx\nQpIkSZIklZrFC1WO69uKZ6bFM9N0zDYNc03DXItnpumYbRrmmoa5pmHPC1WSPS8kSWqePS8kSVVn\nzwtJkiRJklRZFi8kSZIkSVKpWbxQ5bi+rXhmWjwzTcds0zDXNMy1eGaajtmmYa5pmGsa9rxQJdnz\nQpKk5tnzQpJUdfa8kCRJkiRJlWXxQpIkSZIklZrFC1WO69uKZ6bFM9N0zDYNc03DXItnpumYbRrm\nmoa5pmHPC1WSPS8kSWqePS8kSVVnzwtJkiRJklRZFi8kSZIkSVKpWbxQ5bi+rXhmWjwzTcds0zDX\nNMy1eGaajtmmYa5pmGsa9rxQJdnzQpKk5tnzQpJUdfa8kCRJkiRJlWXxQpIkSZIkldp2rR7AQsa6\np9b3T/fs3C5jGOue2gH4IvAY4N3AMuCj/dM9d23icTf1T/c8scnn2A44G+gCbgf+DJzVP91zSTOP\nL8JY99TJwDP7p3tO3VrPuSXm1mAtW7asxSOpDjMtnpmmY7ZpmGsa5lo8M03HbNMw1zTMNY1W5lrK\n4gWwVRsljHVPbds/3XPfEsawHMj6p3uWx/PdBHwa2GjxYjOf42zgL4Cn90/33DvWPbUXcNRmPL4o\npW9i4QWqeGZaPDNNx2zTMNc0zLV4ZpqO2aZhrmmYaxqtzLWsxYuHGOue2gcYJ5/dcAtQA9YBP+6f\n7tl3rHtqN+C3wNH90z2Xj3VPfQPoA34FnAs8A9geWNk/3XNRnEXQBexEvnzm+U2MYU/gI8Bfxl1v\nBn5MXqjYc6x7ag3wCfKZF6vGuqd+C0wCB/ZP95wWz9EPPK1/uueM+DoY657aG/gcsDP592Sgf7rn\nWw3PuyPQD+zTP91zL0D/dM8twPnx/g8DzwR2BM7vn+55V9w/DBwH3At8pX+6521j3VOPja9hX/JC\nxED/dM9/jXVPfR7oAB4JjPRP94zFc9SAIeAPwFpiQWaBLE7rn+65YlMZSpIkSZK0udqp58W5wET/\ndM/BwBRwbv90z/3AD8e6p54GPAe4CnhuXMbR0T/d8xPgHcDX+qd7ngW8AHhfLAYAHAJ09U/3bLJw\nEY0A5/RP9xwBrADOi0WEfuCy/ume5f3TPR8EfkleRHkh8G/AcWPdU9vGc9TIizDE8wD0AF+OMzcO\nAq6Z97xPBn7eP91zxyLj+of+6Z7D42OPHuue2n+se2oP4MT+6Z79Y2Znx2M/CKyO+5YDN8yNq3+6\n5zDgMGBwrHtq91hUWQk8GzgSePpGshjbdHySJEmSJG2+tpl5Qf4L9N/E258G3hNvX06+fOKJ5P0m\nXg98E7gy3v8i4OVj3VNvjds7AJ3x9qX90z23bcYYjgGeNtY9NffRLjuNdU89aoHjQvyif7rnjrHu\nqa+TFzB+CGzXP91zw7zjrwTOG+ue2h64sH+659rNGBPAq8e6p15H/v3cm7zI8APgzrHuqTHyfhwX\nx2NfALwmji0D1sf9bx7rnjox3u4A9gMeB6zqn+75PcBY99Tn4v5Fs+if7vnTYoNct27dg6YZpdpu\n/NzhrfF8D4ftdevWcfPNN7N8+fJSjKcK22vWrGHvvfd+UMZlGl87b/t+TbM9Z+462+rxtPP2lz/2\nVeqrfgPArXf+gdvuvJV99nigBdatd/6B3XbcvantH390845v1fZTlz+Fm39wy1Z5vp///iZ23XG3\nDfvK8Pqrst3M+7Xj+Y/lJa8/ZsN2q3/eFtu+6vy1XP0f15ci3zm77bh7y8ZzyCv259AVB5bm+1PE\ntv8eKOe/B5ainYoXi/Va+CYwQP6L9juBtwFHA5fF+wPwiv7pnv9ufNBY99SzgMVmMiwmAEf0T/fc\nM+9cm3rcecA/AD8EJubf2T/dc9lY99TzgJcBnxjrnnp//3TPZMMhPwY6x7qnduqf7vnjvOd+AnAG\ncGj/dM/tY91TE8Aj+6d77hvrnjoceCHwSuDv4+2H5DjWPXUUeVHjiP7pnj+PdU+tIl8+MveaF7Jg\nFvOtXLlyw+3999+fFStWbOzwQjResFSMxouOitFYuFCxzDUNc02j8ZcIFaOxcKFimWsa5pqG/99K\nY3NzXb16NatXrwZg/fr1Gz94E0KWla//4kKf9DHWPXUBeT+HybHuqdcCL++f7nlFXCJyI/CT/ume\nY2L/h+OAl/VP91w31j11NrDr3CdkjHVPHdw/3XNN7HlxaP90z5s2YwyTwDX90z3vi9sH9U/3XBt/\n+T+jf7rn+Lj/WuCE/umenzU89ipgT/L+F7fNO28nUO+f7rl/rHvqjcCT+qd7Tp93zDCwF/B3/dM9\n98SeE0cDPwI+Sb4E5LHAteQFnPOBR/dP99wy1j21K3lvkL3GuqemgO/0T/eMjHVPbUPe8+No4JT+\n6Z4TxrqnngpcDbw4nvvb8dx/BL4WX/+bFsuiccwhhKyM7y9Jklpp7i++Dyd7P22vDTMvVG1zf8Ev\nu4fjz+HGtMv3Te0vhECWZYv9gXyjyjrzYsex7qlZ8r/uZ8A5wKnksxLewgMNO+mf7rk7Hvvt+NjL\ngFf3T/dcF7fPBj4w1j21lrzHx0+B47dwDG8CPhyLE9uSz/p4wwKP/Tjw5bHuqV/GvheQ9744aJFl\nKkcDbx3rnrqHfBnHSQsc8874Wr4/1j11J/mskX/sn+5ZO9Y9dQ35MpFfkC+jAdgFuHCse2puBsVp\n8b9vBj421j11CnkjzwHgy8DfjXVP3UBeCPo2QP90z81j3VMrgf8ib9jZ2ItjEPhQE1lIkqQGh644\ncMFfEuIfpjbL0UcveTjSw9JiP4eSyquUMy+qaKx76iLyBperWj2WraVVMy/mlos4Vaw4Zlo8M03H\nbNMw1zQac7V4UQzfq+mYbRrmmoa5prHUXJcy88LiRWJxycZ3gav7p3te3erxbE0uG5EkqXkWLyRJ\nVWfxQqVk8UKSpOZZvJAkVd1SihfbFD0YSZIkSZKkIlm8UOWsW7fOj0ktmJkWz0zTMds0zDUNcy2e\nmaZjtmmYaxrmmkYrc3XZiJJx2YgkSc1z2YgkqepcNiJJkiRJkirL4oUkSZIkSSo1ixeqHNe3Fc9M\ni2em6ZhtGuaahrkWz0zTMds0zDUNc03DnheqJHteSJLUPHteSJKqzp4XkiRJkiSpsixeSJIkSZKk\nUrN4ocpxfVvxzLR4ZpqO2aZhrmmYa/HMNB2zTcNc0zDXNOx5oUqy54UkSc2z54UkqerseSFJkiRJ\nkirL4oUkSZIkSSo1ixeqHNe3Fc9Mi2em6ZhtGuaahrkWz0zTMds0zDUNc03DnheqJHteSJLUPHte\nSJKqzp4XkiRJkiSpsixeSJIkSZKkUrN4ocpxfVvxzLR4ZpqO2aZhrmmYa/HMNB2zTcNc0zDXNOx5\noUqy54UkSc2z54UkqerseSFJkiRJkirL4oUkSZIkSSo1ixeqHNe3Fc9Mi2em6ZhtGuaahrkWz0zT\nMds0zDUNc03DnheqJHteSJLUPHteSJKqzp4XkiRJkiSpsixeSJIkSZKkUrN4ocpxfVvxzLR4ZpqO\n2aZhrmmYa/HMNB2zTcNc0zDXNOx5oUqy54UkSc2z54UkqerseSFJkiRJkirL4oUkSZIkSSo1ixeq\nHNe3Fc9Mi2em6ZhtGuaahrkWz0zTMds0zDUNc03DnheqJHteSJLUPHteSJKqzp4XkiRJkiSpsixe\nSJIkSZKkUrN4ocpxfVvxzLR4ZpqO2aZhrmmYa/HMNB2zTcNc0zDXNOx5oUqy54UkSc2z54Ukqers\neSFJkiRJkirL4oUkSZIkSSo1ixeqHNe3Fc9Mi2em6ZhtGuaahrkWz0zTMds0zDUNc03DnheqJHte\nSJLUPHteSJKqzp4XkiRJkiSpsixeSJIkSZKkUrN4ocpxfVvxzLR4ZpqO2aZhrmmYa/HMNB2zTcNc\n0zDXNOx5oUqy54UkSc2z54UkqerseSFJkiRJkirL4oUkSZIkSSo1ixeqHNe3Fc9Mi2em6ZhtGuaa\nhrkWz0zTMds0zDUNc03DnheqJHteSJLUPHteSJKqzp4XkiRJkiSpsixeSJIkSZKkUrN4ocpxfVvx\nzLR4ZpqO2aZhrmmYa/HMNB2zTcNc0zDXNOx50WByoG997+j4zu0yhsmBvh2ALwKPAd4NLAM+2js6\nftcmHndT7+j4E5t8jlXAGb2j42uaOX5zTQ70TQAX9Y6Oz8zbvw9wce/o+AGTA32HAq/pHR1/c7Pn\nteeFJEnNs+eFJKnqltLzYruiB1OArfrb7uRA37a9o+P3LWEMy4Gsd3R8eTzfTcCngY0WLzbzOVop\nA+gdHb8KuKrFY5EkSZIkPQyVsXjxEHEGwDj57IZbgBqwDvhx7+j4vpMDfbsBvwWO7h0dv3xyoO8b\nQB/wK+Bc4BnA9sDK3tHxiyYH+k4GuoCdyJfOPL+JMewJfAT4y7jrzcCPyQsVe04O9K0BPkE+82LV\n5EDfb4FJ4MDe0fHT4jn6gaf1jo6fEV8HkwN9ewOfA3Ym/34M9I6Of6uJ8TwCGAWeCdxDPjNjdXxt\nz+wdHT81HncR8N7e0fFvTg70nQK8DfgDsBa4q3d0/E3xlEdNDvSdAfwF8LYFZmEcBbyld3T85ZMD\nfWcCncC+MY+R3tHxczc1ZkmSJEmStkS79Lw4F5joHR0/GJgCzu0dHb8f+OHkQN/TgOeQzwp4blzG\n0dE7Ov4T4B3A13pHx58FvAB43+RA347xnIcAXb2j45ssXEQjwDm9o+NHACuA83pHx28B+oHLekfH\nl/eOjn8Q+CV5EeWFwL8Bx00O9G0bz1EjL8IQzwPQA3w5ztw4CLimyfG8Ebi/d3T8wHiOT8bXDgvM\n6pgc6Hsc8H+Aw8nzeuq8Q/buHR1/DvBy4D2LPGfjef8KOBY4Ajiz4TW2nOvbimemxTPTdMw2DXNN\nw1yLZ6bpmG0a5pqGuabRylzbpXjxbGA63v40+S/fAJcDRwHPI+838VzgMODKeP+LgKHJgb6rgdXA\nDuQzBgAu7R0dv20zxnAM8K/xXF8Adpoc6HvUAseF+EXv6PgdwNfJCxh/BWzXOzp+w7zjrwRqkwN9\n/0g+S+OOJsdzJPnMDnpHx28EfgY8ZSPHHw6s7h0dvy0uk/n3efdfEM/1A+CxTTz/F3tHx+/tHR3/\nHfBr8hkbGzX/TZ5qe9myZSxbtmyrPd/DYXvZsmXMV6bxteM2PDjXVo+nStu+X9Nsz11byzKeqmzP\nf7/edv0FXDf+auqf69vwtbHtyYE+zj3p1UwO9G342pztay++oFR5FLENXl9TbXt99fraTtu+X8v/\nft1cbbFshMX7Q3wTGAAeB7yTfEnE0cBl8f4AvKJ3dPy/Gx80OdD3LKDZIsGcABzROzp+z7xzbepx\n5wH/APwQmJh/Z+/o+GWTA33PA14GfGJyoO/9vaPjk5s5trnxAdzLg4tSj1zgmIX8ucnjFjr+fhZ5\nL61cuXLD7f33358VK1Y0cWpJkiRJUrtbvXo1q1evBmD9+vVLOldbfNrI5EDfBcD5vaPjk5MDfa8F\nXt47Ov6KuEziRuAnvaPjx0wO9H0YOA54We/o+HWTA31nA7s29H84uHd0/JrYF+LQhn4PzYxhErim\nd3T8fXH7oN7R8WtjL4gzekfHj4/7rwVO6B0d/1nDY68C9iSfWXHbvPN2AvXe0fH7Jwf63gg8qXd0\n/PR5x6wi7zdxVcO+04Cn946Ov25yoO8pwCXkMy8OJ1/28VygA7iefCnIj8lnqhxCXrj5KrC2d3T8\nTfM/bWTu9cdeIxf1jo4f2Pg6Y8+L9b2j4+fE46+Lmc82jttPG5EkqXmrV+czL9bf8IWt9pwHvOx4\nDjruxK32fJKkh7eqfdrIjpMDfbPkf/3PgHOAU8lnJbyFBxp20js6fnc89tvxsZcBr+4dHb8ubp8N\nfGByoG8t+WyEnwLHb+EY3gR8OBYntiWf9fGGBR77ceDLkwN9v4x9LyDvfXHQIstUjgbeOjnQdw+w\nHjhpkTFdHI8hvt7XAB+Jr+0e4OQ4K+RbkwN9PwNuAH5A/ISQ3tHxdZMDff8EfBf4PflMkLnxzK8w\nbG7FoVQVirnpSAtNFdOWMdPimWk6ZpuGuaYxP9dd9z+RXfdvvpjgR6U+lO/VdMw2DXNNw1zTaGWu\npZt5UUXxEz/O6R0dX9XicTy6d3T8jthc8/PkTUcvTPV8zryQJKl5cVbtZrF4IUlqJ1WbeVEZkwN9\nu5LPdLi61YWLaOXkQN8xwCOAr6QsXEiSJEmSVBRnXigZZ15IktQ8Z15IkqpuKTMv2uWjUqWmrVvn\nZzoXzUyLZ6bpmG0a5pqGuRbPTNMx2zTMNQ1zTaOVuTrzQsk480KSpOY580KSVHXOvJAkSZIkSZVl\n8UKSJEmSJJWaxQtVjuvbimemxTPTdMw2DXNNw1yLZ6bpmG0a5pqGuaZhzwtVkj0vJElqnj0vJElV\nZ88LSZIkSZJUWRYvJEmSJElSqVm8UOW4vq14Zlo8M03HbNMw1zTMtXhmmo7ZpmGuaZhrGva8UCXZ\n80KSpObZ80KSVHX2vJAkSZIkSZVl8UKSJEmSJJWaxQtVjuvbimemxTPTdMw2DXNNw1yLZ6bpmG0a\n5pqGuaZhzwtVkj0vJElqnj0vJElVZ88LSZIkSZJUWRYvJEmSJElSqVm8UOW4vq14Zlo8M03HbNMw\n1zTMtXhmmo7ZpmGuaZhrGva8UCXZ80KSpObZ80KSVHX2vJAkSZIkSZVl8UKSJEmSJJWaxQtVjuvb\nimemxTPTdMw2DXNNw1yLZ6bpmG0a5pqGuaZhzwtVkj0vJElqnj0vJElVZ88LSZIkSZJUWRYvJEmS\nJElSqVm8UOW4vq14Zlo8M03HbNMw1zTMtXhmmo7ZpmGuaZhrGva8UCXZ80KSpObZ80KSVHX2vJAk\nSZIkSZVl8UKSJEmSJJWaxQtVjuvbimemxTPTdMw2DXNNw1yLZ6bpmG0a5pqGuaZhzwtVkj0vJElq\nnj0vJElVZ88LSZIkSZJUWRYvJEmSJElSqVm8UOW4vq14Zlo8M03HbNMw1zTMtXhmmo7ZpmGuaZhr\nGva8UCXZ80KSpObZ80KSVHX2vJAkSZIkSZVl8UKSJEmSJJWaxQtVjuvbimemxTPTdMw2DXNNw1yL\nZ6bpmG0a5pqGuaZhzwtVkj0vJElqnj0vJElVZ88LSZIkSZJUWRYvJEmSJElSqVm8UOW4vq14Zlo8\nM03HbNMw1zTMtXhmmo7ZpmGuaZhrGva8UCXZ80KSpObZ80KSVHX2vJAkSZIkSZVl8UKSJEmSJJWa\nxQtVjuvbimemxTPTdMw2DXNNw1yLZ6bpmG0a5pqGuaZhzwtVkj0vJElqnj0vJElVZ88LSZIkSZJU\nWRYvJEmSJElSqVm8UOW4vq14Zlo8M03HbNMw1zTMtXhmmo7ZpmGuaZhrGva8UCXZ80KSpObZ80KS\nVHX2vJAkSZIkSZVVquLFzGDnPjODndfN23fmzGDn6Vt5HKtmBjuXb8bx750Z7LxuZrDzPTODnSfM\nDHY+tcnn6Gzy/EkzmBnsPHlmsPPcRe67aWawc494+/JUY5AkSZIkaTGlKl5EW32dwcxg5xZNW2nw\nOuDArpHZtwMnAs9Y+qi2usVy37C/a2T2yK00liVxfVvxzLR4ZpqO2aZhrmmYa/HMNB2zTcNc0zDX\nNFqZ63YtedYtNDPYuQq4FjgK2Bbo6xqZ/d7MYOeZwJOAJwOPAd7bNTI7Fh/zFuB/AjsAn+8amX3X\nzGDnPsAlwHeA5cD/AH6xiefeBhiOz/0I4ENdI7MfnxnsvBDYCbhqZrDzAuB44Hkzg53vAFYA/941\nMntoPMeTgc/F7d8B98XzngccSl4oGO8amR1pMo/TgVp83HldI7Mj8bVd3DUye0A85gzg0V0js2fN\nDHYeBowB9wFfBV46dxzw+JnBzi8B+wIXxEIMQGh4vvVdI7M7zwx2HgWsBH4L7A98r2tk9jXNjHlr\nWLZsWauHUDlmWjwzTcds0zDXNMy1eGaajtmmYa5pmGsarcy1rYoX0Y5dI7OHzAx2PheYAOZ++T4A\nOALYGbh6ZrDz4rhvv66R2cPj7IovzAx2HkleqHgy8Jqukdkrm3zeU4Bbu0Zmj5gZ7NwB+NbMYOdX\nukZmT5gZ7Ly9a2R2OcDMYOcTgYu6RmZn4vatM4OdB3aNzK4lLzSMA3SNzK6I9y8HHt81Mntg3N6l\nmcHEx50MHEZeyPnOzGDnauBWFp9FMQ6c0jUy+92Zwc53zzvuIOBg4B7gxpnBzg92jcz+ct7jG48/\nGHg6cHPM4q+7RmavWGCcG27//o/3scdO27q9lbef+pI38/SXns66desedLFx222322P7+186hyvO\nf38pridul2975vNLe/xTX/Jmdjvo1aV5v7vtttdTt92u9vZSlK14scmlC8A0QNfI7GUzg507N/yy\nf2HXyOzdwO9mBju/DhwOPBc4dmawcw35DIJHA/uRFy9+vhmFC4AXAQfMDHa+Mm7vEs/1cxpmJyzg\nPKAWZ0C8irzY0OinwBNnBjtHgP8EvtLkeI4kn0lyF8DMYOcM+eu9aKGDZwY7dwV26hqZ/W7cNQW8\nrOGQr3WNzP4xHvt9YB9gfvGi0Xe7RmZ/FY+/BngC8JDixef+67YNtzsfsz3P3u9Rzbw2SZIkSVKb\nu75+FzfU/wzAnXffv6Rzla148Ttgj3n79iD/BX/O/AJHtsD+0LD97q6R2Y83PiAurbhjM8cWgFO7\nRmYvXeC+jfXp+A/gTGAV+fKKPzTe2TUye+vMYOdBwIuBvyVf4nLKZo6t0b3kMzHmPLLh9saKLH9u\nuH0fm35vNHX8q56166InaKzCFbk9V9FLdf523Z4/xWtzthda17aU87mda/xrUKvHU6XtKr5fW339\n2GOnbR90bS3DeKqyvdBfodrp/w9l3Aavr6m2q3B9LdPP/9y219c022W4vlZxe3Pfr3vstC37dzzw\nK+lF1/yRLVWq4kXXyOwdM4Od62YGO5/fNTK7Kn7KxYuBDzQc9irgG3H5x21dI7Pr49KEE+JSiJ3J\n+1K8HbgLOGtmsHMqnnsZ+bII2Pgv8gvdfwnwhpnBzlVdI7P3zgx27gfUu0Zm75x37HryWRlzr+nP\nM4OdlwCjQN/8J5kZ7HwMcHfXyOznZwY7fwR8usnxXAZMzAx2DpMXK/4G+F/Ar4G9ZgY7dwf+BBwH\nfKlrZPa2mcHO22cGOw+LM05evYnX38wYNqlrZHYLnkZls9A/DLU0ZppO1bJ9+ktP5+kv3aofuqUW\nWb168x9z9NFFj6L9Ve0aUCbtnq3XU6kEPrjln5VRquJFdBLw4ZnBznPIZzSs7BqZvanh/rviMpDt\nyHtIzFkLrCZv2HlW18jszcDN8WNLvx0LHOuBXuB+Nv2pJhfPDHbOFTq+3TUy+6qZwc4nAGti/4zf\nkH+yCPPO9Vng4zODnacCK+LYPxOPXWhJyOPJixDbxPMMLTKed8wMdg4SZ5V0jcx2zgx2fhK4Mj7u\nY7GvBjODnWfF/XXgBw3n6AfGZgY77wO+AdzGwrImbi92vCRJkiRJhQpZ1j6/d8ZPGzmja2R2zbz9\nZwLru0Zmz2nNyDYu9rvYpWtk9swWj+PRXSOzd8Tbbwf27hqZPS3V84UQsnZ6f0mS1ErOvJAkVV0I\ngSzLtmj6RRlnXmxM2/0mHBtp7gu8oNVjAV42M9j5v8m/7z8DXtvS0SQytx6z3ac2lomZFs9M0zHb\nNMw1DXMtnpmmY7ZpmGsa5ppGK3Ntq5kXai/OvJAkqXnOvJAkVd1SZl5sU/RgJEmSJEmSimTxQpIk\nSZIklZrFC1XOunXrFvwccm05My2emaZjtmmYaxrmWjwzTcds0zDXNMw1jVbmas8LJWPPC0mSmmfP\nC0lS1dnzQpIkSZIkVZbFC0mSJEmSVGoWL1Q5rm8rnpkWz0zTMds0zDUNcy2emaZjtmmYaxrmmoY9\nL1RJ9ryQJKl59ryQJFWdPS8kSZIkSVJlWbyQJEmSJEmlZvFCleP6tuKZafHMNB2zTcNc0zDX4plp\nOmabhrmmYa5p2PNClWTPC0mSmmfPC0lS1dnzQpIkSZIkVZbFC0mSJEmSVGoWL1Q5rm8rnpkWz0zT\nMds0zDUNcy2emaZjtmmYaxrmmoY9L1RJ9ryQJKl59ryQJFWdPS8kSZIkSVJlWbyQJEmSJEmlZvFC\nleP6tuKZafHMNB2zTcNc0zDX4plpOmabhrmmYa5p2PNClWTPC0mSmmfPC0lS1dnzQpIkSZIkVZbF\nC0mSJEmSVGoWL1Q5rm8rnpkWz0zTMds0zDUNcy2emaZjtmmYaxrmmoY9L1RJ9ryQJKl59ryQJFWd\nPS8kSZIkSVJlWbyQJEmSJEmlZvFCleP6tuKZafHMNB2zTcNc0zDX4plpOmabhrmmYa5p2PNClWTP\nC0mSmmfPC0lS1dnzQpIkSZIkVZbFC0mSJEmSVGoWL1Q5rm8rnpkWz0zTMds0zDUNcy2emaZjtmmY\naxrmmoY9L1RJ9ryQJKl59ryQJFWdPS8kSZIkSVJlWbyQJEmSJEmlZvFCleP6tuKZafHMNB2zTcNc\n0zDX4plpOmabhrmmYa5p2PNClWTPC0mSmmfPC0lS1dnzQpIkSZIkVZbFC0mSJEmSVGoWL1Q5p1+e\nZgAAGPdJREFUrm8rnpkWz0zTMds0zDUNcy2emaZjtmmYaxrmmoY9L1RJ9ryQJKl59ryQJFWdPS8k\nSZIkSVJlWbyQJEmSJEmlZvFCleP6tuKZafHMNB2zTcNc0zDX4plpOmabhrmmYa5p2PNClWTPC0mS\nmmfPC0lS1dnzQpIkSZIkVZbFC0mSJEmSVGoWL1Q5rm8rnpkWz0zTMds0zDUNcy2emaZjtmmYaxrm\nmoY9L1RJ9ryQJKl59ryQJFWdPS8kSZIkSVJlWbyQJEmSJEmltl2rB9CoY2JoH+Diem34gIZ9ZwLr\n67Xhc7biOFYBZ9Rrw2uaPP69wEuA/wSuAG6s14Z/2MRznFyvDc82+RwnAW8F7gfuBT6zlTN5yPem\nrObWYC1btqzFI6kOMy2emaZjtmmYaxrmWjwzTcds0zDXNMw1jVbmWqriRbTVmyR0TAyFem14Kc/7\nOmD3em0465gYmgAuBjZavNgcHRNDLwXeBBxTrw3/umNiaHvgpKLOvxnaooGFF6jimWnxzDQds03D\nXNMw1+KZaTpmm4a5pmGuabQy1zIWLxYVZytcCxwFbAv01WvD34uzM54EPBl4DPDeem14LD7mLcD/\nBHYAPl+vDb8rziK4BPgOsBz4H8AvNvHc2wDD8bkfAXyoXhv+eMfE0IXATsBVHRNDFwDHA8/rmBh6\nB7AC+Pd6bfjQeI4nA5+L278D7ovnPQ84lLw4MF6vDY/Me/oh8pkgvwao14bviY+hY2KoH3g9sD3w\nY+A19drwXR0TQ68E/pF8lsZt9drw0fG53kM+S+Q+4OP12vCHOiaG3gkcB+wIXFGvDf9dPPeh8Xky\n4NJNZbGx/CRJkiRJ2lLt2PNix3pt+BDgjcBEw/4DgKOBvwb+sWNiaO+OiaFjgf3qteHDgUOAZ3ZM\nDB0Zj38y8K/12vAB9drwRgsX0SnArfXa8BHA4cDrOyaG9qnXhk8A/lSvDS+v14bPAr4AvDVu/xS4\ntWNi6MB4jhowDlCvDa+o14Z/CRwMPL5eGz6wXhs+aN5rmrM/sNgSlv+o14YPj5n8MI4T4J3Ai+L+\n4+O+1wP7AAfWa8MHA5+J+8+t14aPqNeGDwQe1TEx9LK4fxx4YzzHJrPYWHjAQz5Sx2233Xbbbber\nsv3+qy+lY2KIjokhHnfOGzfc3pzt3pvyr+41b9xwe1PbS3m+9199aWnyc9ttt912++G3vbnKNvNi\nsWUJjfunAeq14cs6JoZ27pgY2iXuv7BeG74b+F3HxNDXyX+pfi5wbMfE0BogAI8G9iOfZfHzem34\nys0Y24uAA+KMBoBd4rl+Hs+9mPOAWsfE0BnAq4DD5t3/U+CJHRNDI+Q9M76ywDk2tlzjgI6JobOB\n3chf3yVx/+XAJzsmhv4NmIn7jgFG55bI1GvDt8b9L+yYGHor8Chgd+D6jomhy4Fd67Xhb8VjPk0+\nYwM2nsWDrFy5csPt/fffnxUrVmzkpRRjqT8Ueqh169Zx8803O/2uQDfffDPglMYUfL+mMXdtNddi\n3feH9dx32x1su/vOrR5KZXh9TcfraxpeX9Pw/ZrG5r5fV69ezerVqwFYv379kp47ZFl52hh0TAw9\nmrzZZUfDvhHge/Xa8KfjspGV9drwN+J9PyOfcXE6QL02/K64/5PA+cDzgB/NX9IQZwlcFGcaLDSO\nhzTs7JgYOh/4aL02fOkCx99erw3vEm9PxHPPxO1HAGvJm2321GvDr17g8Y8CXgy8BvhDvTZ8yrz7\nvwGcWa8Nr17gsT8Fjq/Xhq/vmBg6GTiqXhvui/cdRr4c5CTyZSkfIy9efK3h8Y8gLzosr9eG18Ul\nOBkwAqyt14b3iccdQN4k9MCNZdEohJCV6f0lSVIq77/6Uv7lmq9t+sASOe3gF3LGIce2ehiSpIeR\nEAJZlm3sj/+LKtXMi3pt+I6OiaF1HRNDz6/Xhld1TAztQf5L/QcaDnsV8I24/OO2em14fcfEEMAJ\nHRND7wZ2Ju/F8HbgLuCsjomhqXjuZcA98TybCmz+/ZcAb+iYGFpVrw3f2zExtB9Qr9eG75x37Hry\nmQhzr+nPHRNDlwCjQN/8J+mYGHoMcHe9Nvz5jomhH5HPcJhvGHhvx8TQcbFh5w7kvS3OI++3cXNs\n4vm/gHo8775xZsmVHRNDLwE6yPtW/G3HxNDqem34vo6Jod3JP70kI5+xshMP9Om4rWNi6A8dE0N/\nXa8NXwH0NpmFJEkPO2cccuySCwHxD1Ob5eijl/SUkiS1jVIVL6KTgA93TAydQ/5L9cp6bfimhvvv\nistAtiPvITFnLbCavGHnWfXa8M3kv9Q/Ffh2LHCsJ/8lfO4X9o25uGNiaK7Q8e16bfhVHRNDTwDW\ndEwMBeA3wInx/sZzfRb4eMfE0KnAijj2z8RjF1oS8nhgIjbBzMibcz5IvTb8pY6JoccCX42vIyP2\nziBvyvndOJ7vkBdvIC927Bdvf61eG17bMTF0A/AUYG3HxNDd5A07P9wxMTQG3AD8Kp5rTh8w3jEx\ndP+8sY8Bi2UhSZIkSVKhSrVsZFMWWs4R958JrK/Xhs9pzcg2Lva72KVeGz6z1WPZmlq1bMR1g8Uz\n0+KZaTpmm4a5ptGYqzMviuF7NR2zTcNc0zDXNJaaa2WWjTShfSotUcfE0AywL/CCVo/l4cILVPHM\ntHhmmo7ZpmGuaZhr8cw0HbNNw1zTMNc0WplrW828UHuxYackSc1z5oUkqeqWMvNim6IHI0mSJEmS\nVCSLF6qcdevWbViLpWKYafHMNB2zTcNc0zDX4plpOmabhrmmYa5ptDJXl40oGZeNSJLUPJeNSJKq\nzmUjkiRJkiSpsixeSJIkSZKkUrN4ocpxfVvxzLR4ZpqO2aZhrmmYa/HMNB2zTcNc0zDXNOx5oUqy\n54UkSc2z54UkqerseSFJkiRJkirL4oUkSZIkSSo1ixeqHNe3Fc9Mi2em6ZhtGuaahrkWz0zTMds0\nzDUNc03DnheqJHteSJLUPHteSJKqzp4XkiRJkiSpsixeSJIkSZKkUrN4ocpxfVvxzLR4ZpqO2aZh\nrmmYa/HMNB2zTcNc0zDXNOx5oUqy54UkSc2z54UkqerseSFJkiRJkirL4oUkSZIkSSo1ixeqHNe3\nFc9Mi2em6ZhtGuaahrkWz0zTMds0zDUNc03DnheqJHteSJLUPHteSJKqzp4XkiRJkiSpsixeSJIk\nSZKkUrN4ocpxfVvxzLR4ZpqO2aZhrmmYa/HMNB2zTcNc0zDXNOx5oUqy54UkSc2z54UkqerseSFJ\nkiRJkirL4oUkSZIkSSo1ixeqHNe3Fc9Mi2em6ZhtGuaahrkWz0zTMds0zDUNc03DnheqJHteSJLU\nPHteSJKqzp4XkiRJkiSpsixeSJIkSZKkUrN4ocpxfVvxzLR4ZpqO2aZhrmmYa/HMNB2zTcNc0zDX\nNOx5oUqy54UkSc2z54UkqerseSFJkiRJkirL4oUkSZIkSSo1ixeqHNe3Fc9Mi2em6ZhtGuaahrkW\nz0zTMds0zDUNc03DnheqJHteSJLUPHteSJKqzp4XkiRJkiSpsixeSJIkSZKkUrN4ocpxfVvxzLR4\nZpqO2aZhrmmYa/HMNB2zTcNc0zDXNOx5oUqy54UkSc2z54UkqerseSFJkiRJkirL4oUkSZIkSSo1\nixeqHNe3Fc9Mi2em6ZhtGuaahrkWz0zTMds0zDUNc03DnheqJHteSJLUPHteSJKqzp4XkiRJkiSp\nsixeSJIkSZKkUrN4ocpxfVvxzLR4ZpqO2aZhrmmYa/HMNB2zTcNc0zDXNOx5oUqy54UkSc2z54Uk\nqerseSFJkiRJkirL4oUkSZIkSSo1ixeqHNe3Fc9Mi2em6ZhtGuaahrkWz0zTMds0zDUNc02jlbla\nvFDlLFu2jB/96EetHkalmGnxzDQds03DXNMw1+KZaTpmm4a5pmGuabQyV4sXqqTVW9L1TBtlpsUz\n03TMNg1zTcNci2em6ZhtGuaahrmm0apcLV5IkiRJkqRSs3ihylm3bh3r169v9TAqxUyLZ6bpmG0a\n5pqGuRbPTNMx2zTMNQ1zTaOVuYYsy1ryxKq+EIJvLkmSJEnSBlmWhS15nMULSZIkSZJUai4bkSRJ\nkiRJpWbxQpIkSZIklZrFC0mSJEmSVGoWL9QyIYR3hBCuDyFcG0JYE0I4rIBzHhNC+F4855UhhOc3\n3Lc8hLA2hPCjEMIHGvY/N4RwVQjhnhBCV8P+zrh/TQjhuhDC3y51fKmFEO6L470+hHB1COH0EMIW\nNcSZd97TQgg3hBCuCSFcGkL4y4b7To6Z3hhCOKlh/xtDCP8dx7RHw/7j4/fn6hDCd0MIz1nq+FIK\nIdwfQvhUw/a2IYRbQghfWMI5O0IIX4+ZXhdCeFPDfbuHEL4S87wkhLBr3L9HfMz6EMIHFznvF0II\na7d0XK0SQlhyy+oif/Yb7t85hPCLxfIus7JfXxvub5uM2+H62nD/YYtlXibtcH0NIawKIfwwfs/X\nhBD23NKxtUIZr68NP0tXhxAuWOr4trZ2uL62W8btcH0NIRwVQrg1jnNNCOH/LHV8qbXJNXb7EMJH\n42O+H0L4m40OIMsyv/za6l/As4BvAdvF7T2AvQs470Fz5wGeAdQb7vsOcFi8/Z/Ai+PtTmB/4BNA\nV8Px2wHbx9uPAm4qYoyJc7294faewKXAygLOexTwyHj774DPxtu7Az8BdgV2m7vd8L3oBH4K7NFw\nrkc13D4A+EGrc9vEa18PrAEeEbdfEre/sBnn2Hbe9t7AwfH2TsCNwFPj9nuAt8XbbweGG96Dfw28\nHvjgAs/xN8AksLbVmW1BxrcXcI7CfvYbHveBmOlD8i7zVztcX9sx43a4vsb7tgG+Bly8UOZl+mqH\n6yuwCjik1VktIePSXV+LGFML82yL62u7ZdwO19d4rqavTWX4apNr7ErgrIbtPTY2HmdeqFUeB/w2\ny7J7AbIs+32WZTfDhgrz6lh5/lII4S/i/lUhhA/EiuzahSrdWZZdO3eeLMtuAB4ZK3p7AztnWXZl\nPPRTwInxuNksy64HsnnnujfLsnvi5o7AkivAW1OWZb8lv0j8PUAIYZsQwj+HEL4TK9Cvmzs2hPD2\nmOnVIYR/WuBc38iy7K64+V/A4+PtFwNfybLstizLbgW+Qn5hnPtezDIvtyzL/tSwuRNwfyEvOK3/\nBF4Wb3cD03N3hPwvnFfEv35cHkLYL+4/OYRwYQjha8BXG0+WZdnNWZZdE2//EfgBD2R6AvDJePuT\nPPA+/VOWZVcAf54/uBDCo4HTgLMLebVbX4h/0bioYce5c38JCSHcFEJYGTO+NoTwlPknKPJnPz7n\nocBjyd/T7ab019f4nG2bcVmvr9GpwPnAb4p5tcmV+voatfO/l0t3faXN/j01T1tcX2njjEt+fW3H\nXMt+je0D3t1w/t9v7MW088VY7e0rQGfIp2J+KITwPIAQwnbAucArsiw7DJgAGi9GO2ZZdgjwRmB8\nY08QQlgBrIkFiMcD9Ya76zzwg7axc3SEEK4Ffg68Z+5/LO0iy7KbgG1CCHsBpwC3Zll2BHA48PoQ\nwj4hhJcALyev6h8C/PMmTnsK8KV4+/HALxru+yXN5XpiCOEHwEXkF60yy4DPAt0hhEcAB5L/FWTO\nD4Ajsyw7FDiThgswcAj5X0OezyJCCE8ADib/nyrAY7Ms+zXk/4Mg/+VuU/4v8D7gziaOLauMhf8B\nNuc3MeOPAG/d2ImW+rMfQgjkeb6F9vyHSumvrxXIuJTX1xDCMuDELMtGaY9c2+H6CvCJ0CbTxBdR\nmutr9IiQL5G4IoRwQhPHl0npr69RO2dcyutr9OxYQPliCOHpm/GSWqXU19gQl5UAZ8cCyufi93xR\n223sTimVLMvuCCEsB54LvAD4bAhhCLiKfArcpfEft9sA6xoeOh0ff1nI10rvkmXZ7fPPH0J4BvkP\n4LFLHGcdOChWvi8MIZyfZdktSzlnC70IOCCE8Mq4vQuwH3AMMJFl2Z8BYgV6QSGEXuBQ8qlzWyzL\nsguAC0IIR5LPFljS9ym1LMuujxfobuCLPPiXgt2AT8VqdcaDr6uXZll222LnDSHsRP4X0sEsy+5Y\n7Ok3NrYQwkHAk7IsOz2OsR1+YdkSn4//vYp8icyCCvrZfwPwxSzL1uWXofbKtE2ur22d8QLKcn39\nAPlU3Q2nXcK5tooyX1+jnizLfhXyGW4zIYTeLMsmm3hcO9ma11eAfWKmTwS+HkJYG39ZLb02ub5C\nG2e8gLJcX68COrMs+1MI4aXABcBDZiqVTcmvsdsBHcDlWZadEUI4DXg/cNLGHiC1RJZlGfBN4Jsh\nhOvI36hrgOuzLFusiWPjD0FggR+KEEIHMAO8Jsuyn8XdvwT+suGwjriv2bHeHEK4nvx/VjPNPq7V\nQgj7AvdlWXZL/J/pqVmWXTrvmJc0ea5jgP8NPC97YDnNL4GjGw7rIF8f3GjRC1eWZZeHEPYNIeyx\nqWliJfAF4L3kr7exYdv/Bb6eZVlXCGEfHvz6F7uYz/2V5nzg01mWXdhw169DCH+RZdmvY9FsU1O/\nnw0cGkL4KbA98NgQwtezLHtBsy+sJO4Ftm3YfuS8++emGt7HIv/vKvBn/9nAkSGENwA7A9uHENZn\nWfYPm3oRZdEG19e2z7ik19dnkv8yFcivUy8NIdyTZdkWN2fbSsp6fSXLsl/F/94RQpgi/8tvuxUv\nynR9bcz0phDCavK/8LbNL9ZtcH1t+4zLeH2NSyTmbn8phPDhNvn3K5T0Gptl2e9CCHdkWTZXQP13\nNjEj22UjaokQwlNCCE9u2HUw+dKMG4G9QgjPisdtN29a1qvi/iPJp5A9qIt2nH50MfD2LMvmpjDN\nTV26LYRweLwIngQ0/rBtOEXDuR4fQnhkvL07cGQcX5k1jn8vYJR8GiPAJcAb4gWHEMJ+IYRHkTdF\nqoUQdoz7d3/ISUM4hHw66fFZlv2u4a5LgGNDCLvGxx0b980fU+O4ntRwezmwQ8kv/HNjHwfeleVr\nURvtygP/kKhtxnnHge9nWTYyb/8XgNfG2yezifdplmUfybKsI8uyfYnv0TYsXGTkP/9PD/ka392A\nF27OCYr82c+yrDfLsifETN8CfKrNfqku/fW1TTMu/fU1y7J949cTyf9h+YaSFy5KfX0NeWf+x8Tb\n2wPHAddvxjjKoFTX1xDCbiGEHeLtPcmb+H1/M19Ty7TD9bVNMy799TXEHibx9uFAKPm/X6Hk19jo\novDAp+scw6beq1kJOqH69fD7ApaTd2u+HriG/B9Ze8T7DgS+EfdfB5wS968CziGvbq8FDl3gvO/g\ngc66V8f/7hnvOzSe77+BkYbHPJN83dt64Bbgurj/GODaeJ5r5sZR5i/gnviar4/jPq3hvgD8v5jd\ndeTd6HeO970NuCE+9uwFznsp8KuGXC9ouO+1MdMfASc17D815no3+RrNjzU81/XxXN8Cnt3q3DaR\n6UM6dtPQcZq88/iN5NMJzwJ+GvefzCKfoAA8h/wvXNc0vE9fEu/bg7w50o3ka2t3a3jcTcBvgduB\nWWJ354b796HNPm2E/K+Bt8Tb74mv+8vxmnBS3L+h43f8Of76Aucp7Gd/3nkX/T6W9Ys2uL62Y8a0\nwfV13nnHKf+njZT6+kreIf97DT8v/0L+C0vLs2sy39JdX8lnXa2N57kWeG2rc9rMTEt/fW3HjGmD\n6yt5v5K58V0BHNHq3JrItdTX2Li/s+Hn5lKgY2OvKcQHSaUXQlgFnJFl2ZpWj0VSMULes+OjWZY9\nq9VjeTjz+ipVj9fXcvD6KhXHZSNqJ1bapAoJIfwt8Bnyvziptby+ShXi9bVUvL5KBXHmhSRJkiRJ\nKjVnXkiSJEmSpFKzeCFJkiRJkkrN4oUkSZIkSSo1ixeSJEmSJKnULF5IkiRtgRDCfSGENSGE60MI\nV4cQTg8hhE08Zp8QQvfWGqMkSVVh8UKSJGnL3JFl2fIsy/YHjgVeCpy5icc8EehJPjJJkirG4oUk\nSdISZVn2W+D1wN/DhhkW3wwhfC9+PSse+m7gyDhjYzCEsE0I4Z9DCN8JIVwTQnhdq16DJEllFrIs\na/UYJEmS2k4I4fYsy3aZt+/3wF8B64H7syy7O4TwZGA6y7LDQghHAWdkWXZ8PP51wF5Zlv1TCGEH\n4FvAiizLfr51X40kSeW2XasHIEmSVCFzPS92AP41hHAwcB+w3yLHvwg4IITwyri9SzzW4oUkSQ0s\nXkiSJBUghLAvcG+WZbeEEM4Ebs6y7MAQwrbAnYs9DDg1y7JLt9pAJUlqQ/a8kCRJ2jIbPlkkhLAX\nMAqcG3ftCvwq3j4J2DbeXg/s3HCOS4A3hBC2i+fZL4SwY8pBS5LUjpx5IUmStGUeGUJYQ75E5B7g\nU1mW/Uu878PAf4QQTgK+DNwR968F7g8hXA18IsuykRDCE4A18WNWfwOcuBVfgyRJbcGGnZIkSZIk\nqdRcNiJJkiRJkkrN4oUkSZIkSSo1ixeSJEmSJKnULF5IkiRJkqRSs3ghSZIkSZJKzeKFJEmSJEkq\nNYsXkiRJkiSp1P4/Ef2qQGg5biMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x186f3170>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "info, fig = wa.gantt(df, stations, labels)\n",
    "plt.fill_between([pd.datetime(2014,12,2,19),pd.datetime(2014,12,16,19)],[11,11],alpha=0.25,linewidth=0,zorder=0,label='Aquifer Test Period')\n",
    "plt.rc('svg', fonttype = 'svgfont')\n",
    "#plt.legend()\n",
    "fig.savefig(rootlocal+\"gantt.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "fig.savefig(rootlocal+\"gantt.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x17a9e2b0>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA5IAAAJPCAYAAAAOputXAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nqSsmkpIkSZKkrphISpIkSZK68v/12IJ8InLUvgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x12b811d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['EXW_wl_elev_ft'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "info.to_clipboard()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'allRecords' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-14-e6b24f569daf>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mallRecords\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'UL_LW_Q_gpm'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m: name 'allRecords' is not defined"
     ]
    }
   ],
   "source": [
    "allRecords['UL_LW_Q_gpm'].plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# Chem"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "chemFile = \"U:/GWP/Groundwater/PowderMt/Water_Chemistry_Results/Powmowchemgraphs.xlsx\"\n",
    "majChem = pd.read_excel(chemFile,\"Chem\")\n",
    "chem = pd.read_excel(chemFile,\"Cond\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([u'StationID', u'Name', u'Drainage', u'Source', u'DateTime', u'T_C',\n",
       "       u'pH', u'Cond', u'd2H', u'd18O', u'Mg', u'Ca', u'Na', u'K', u'Cl',\n",
       "       u'SO4', u'HCO3', u'CO2', u'SiO2', u'TDS', u'CO3solid', u'TotAlk',\n",
       "       u'ChargeBalance', u'ClusterGroup', u'GeoSetting'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "majChem.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     B1\n",
       "1     B1\n",
       "2     B2\n",
       "3     B2\n",
       "4     B2\n",
       "5     B2\n",
       "6      A\n",
       "7     B2\n",
       "8     B2\n",
       "9     B2\n",
       "10    B2\n",
       "11    B2\n",
       "12    B1\n",
       "13    B1\n",
       "14    B1\n",
       "15    B1\n",
       "16    B2\n",
       "17     A\n",
       "18    B2\n",
       "19    B2\n",
       "20    B2\n",
       "21    B1\n",
       "22     A\n",
       "23    B1\n",
       "24     A\n",
       "25     A\n",
       "Name: ClusterGroup, dtype: object"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "majChem[\"ClusterGroup\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "$\\delta\\mathrm D = 8.0\\cdot\\delta^{18}\\mathrm O + 10{}^{0\\!}\\!/\\!_{00}$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA6AAAAJuCAYAAACuUG/BAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x18056d70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Isotope Plot\n",
    "# http://matplotlib.org/1.4.0/users/mathtext.html\n",
    "# http://stackoverflow.com/questions/22408237/named-colors-in-matplotlib\n",
    "x = majChem[\"d18O\"]\n",
    "y = majChem[\"d2H\"]\n",
    "xc = majChem[\"ClusterGroup\"]\n",
    "xm = majChem[\"Source\"]\n",
    "lab = majChem[\"StationID\"]\n",
    "\n",
    "fig = plt.figure(figsize=(15,10))\n",
    "ax = fig.add_subplot(111)\n",
    "\n",
    "c = {\"B1\":\"paleturquoise\",\"B2\":\"royalblue\",\"A\":\"lightgreen\"}\n",
    "mark = {\"Spring\":\"^\",\"Stream\":\"s\",\"Well\":\"o\"}\n",
    "x2 = [-19,-16]\n",
    "y2 = [8*i+10 for i in x2]\n",
    "plt.plot(x2,y2, zorder=0)\n",
    "\n",
    "colars = [c[xc[i]] for i in range(len(x))]\n",
    "markars = [mark[xm[i]] for i in range(len(x))]\n",
    "\n",
    "for i in range(len(x)):\n",
    "    plt.scatter(x[i],y[i],s=[120],color=c[xc[i]],marker=mark[xm[i]],linewidths=0.1,edgecolors='black', zorder=i+1, alpha=0.7, label=xc[i])\n",
    "    plt.text(x[i]-0.08,y[i]+0.5,lab[i])\n",
    "plt.text(-18.5,-137.7,\"GMWL\", rotation=35)\n",
    "#plt.scatter(x,y,s=[80],color=colars,marker=markars,linewidths=0.1,edgecolors='black', zorder=1)    \n",
    "plt.xlim(-19,-16)\n",
    "plt.ylim(-140,-115)\n",
    "plt.xlabel(r\"$\\delta^{18}$O\"+u\" (\\u2030)\")\n",
    "plt.ylabel(r\"$\\delta^{2}$H\"+u\" (\\u2030)\")\n",
    "plt.grid()\n",
    "plt.legend(scatterpoints=1)\n",
    "plt.savefig(\"U:/GWP/Groundwater/PowderMt/Water_Chemistry_Results/\" + \"isotopes.svg\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "sns.set(context='notebook', style=\"ticks\", color_codes=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA5AAAAJnCAYAAADhrLwxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x15670ab0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gname = \"Geo_Setting\"\n",
    "x = \"SC\"\n",
    "\n",
    "cnt = chem.groupby(gname)[x].agg({'cnt':(lambda x: np.count_nonzero(~np.isnan(x)))})['cnt'].values[::-1]\n",
    "labs = chem.groupby(gname)[x].count().values[::-1]\n",
    "plt.figure(figsize=(15,10))\n",
    "ax = sns.boxplot(x=x, y=gname, data=chem,  whis=np.inf, palette=\"Paired\")\n",
    "sns.stripplot(x=x, y=gname, data=chem, jitter=True, size=5, color='red', linewidth=0)\n",
    "for i in range(len(chem.groupby(gname))):\n",
    "    plt.text(700, i, \"n = \" + str(cnt[-1-i]))\n",
    "plt.xlim(0,800)\n",
    "plt.xlabel(\"Specific Conductance ($\\mu$S/cm)\")\n",
    "plt.ylabel(\"Geologic Setting\")\n",
    "plt.savefig(\"U:/GWP/Groundwater/PowderMt/Water_Chemistry_Results/\" + 'CondBoxPlots.svg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.10"
  },
  "widgets": {
   "state": {},
   "version": "1.1.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}