{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "block_hidden": true,
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%load_ext rpy2.ipython\n",
    "%matplotlib inline\n",
    "from fbprophet import Prophet\n",
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "import numpy as np\n",
    "df = pd.read_csv('../examples/example_wp_peyton_manning.csv')\n",
    "df['y'] = np.log(df['y'])\n",
    "m = Prophet()\n",
    "m.fit(df)\n",
    "future = m.make_future_dataframe(periods=366)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "block_hidden": true,
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/lib/python2.7/dist-packages/rpy2/rinterface/__init__.py:186: RRuntimeWarning: Loading required package: Rcpp\n",
      "\n",
      "  warnings.warn(x, RRuntimeWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "STAN OPTIMIZATION COMMAND (LBFGS)\n",
       "init = user\n",
       "save_iterations = 1\n",
       "init_alpha = 0.001\n",
       "tol_obj = 1e-12\n",
       "tol_grad = 1e-08\n",
       "tol_param = 1e-08\n",
       "tol_rel_obj = 10000\n",
       "tol_rel_grad = 1e+07\n",
       "history_size = 5\n",
       "seed = 53705285\n",
       "initial log joint probability = -19.4685\n",
       "Optimization terminated normally: \n",
       "  Convergence detected: relative gradient magnitude is below tolerance\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%R\n",
    "library(prophet)\n",
    "df <- read.csv('../examples/example_wp_peyton_manning.csv')\n",
    "df$y <- log(df$y)\n",
    "m <- prophet(df)\n",
    "future <- make_future_dataframe(m, periods=366)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By default Prophet will return uncertainty intervals for the forecast `yhat`. There are several important assumptions behind these uncertainty intervals.\n",
    "\n",
    "There are three sources of uncertainty in the forecast: uncertainty in the trend, uncertainty in the seasonality estimates, and additional observation noise.\n",
    "\n",
    "### Uncertainty in the trend\n",
    "The biggest source of uncertainty in the forecast is the potential for future trend changes. The time series we have seen already in this documentation show clear trend changes in the history. Prophet is able to detect and fit these, but what trend changes should we expect moving forward? It's impossible to know for sure, so we do the most reasonable thing we can, and we assume that the *future will see similar trend changes as the history*. In particular, we assume that the average frequency and magnitude of trend changes in the future will be the same as that which we observe in the history. We project these trend changes forward and by computing their distribution we obtain uncertainty intervals.\n",
    "\n",
    "One property of this way of measuring uncertainty is that allowing higher flexibility in the rate, by increasing `changepoint_prior_scale`, will increase the forecast uncertainty. This is because if we model more rate changes in the history then we will expect more in the future, and makes the uncertainty intervals a useful indicator of overfitting.\n",
    "\n",
    "The width of the uncertainty intervals (by default 80%) can be set using the parameter `interval_width`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "forecast = Prophet(interval_width=0.95).fit(df).predict(future)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "output_hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "STAN OPTIMIZATION COMMAND (LBFGS)\n",
       "init = user\n",
       "save_iterations = 1\n",
       "init_alpha = 0.001\n",
       "tol_obj = 1e-12\n",
       "tol_grad = 1e-08\n",
       "tol_param = 1e-08\n",
       "tol_rel_obj = 10000\n",
       "tol_rel_grad = 1e+07\n",
       "history_size = 5\n",
       "seed = 1361762359\n",
       "initial log joint probability = -19.4685\n",
       "Optimization terminated normally: \n",
       "  Convergence detected: relative gradient magnitude is below tolerance\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%R\n",
    "m <- prophet(df, interval.width = 0.95)\n",
    "forecast <- predict(m, future)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Again, these intervals assume that the future will see the same frequency and magnitude of rate changes as the past. This assumption is probably not true, so you should not expect to get accurate coverage on these uncertainty intervals.\n",
    "\n",
    "### Uncertainty in seasonality\n",
    "By default Prophet will only return uncertainty in the trend and observation noise. To get uncertainty in seasonality, you must do full Bayesian sampling. This is done using the parameter `mcmc.samples` (which defaults to 0). We do this here for the Peyton Manning data from the Quickstart:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "m = Prophet(mcmc_samples=500)\n",
    "forecast = m.fit(df).predict(future)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "output_hidden": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/lib/python2.7/dist-packages/rpy2/rinterface/__init__.py:186: RRuntimeWarning: The following numerical problems occured the indicated number of times on chain 1\n",
      "\n",
      "  warnings.warn(x, RRuntimeWarning)\n",
      "/usr/lib/python2.7/dist-packages/rpy2/rinterface/__init__.py:186: RRuntimeWarning:                                                                                 count\n",
      "Exception thrown at line 39: normal_log: Scale parameter is 0, but must be > 0!     5\n",
      "\n",
      "  warnings.warn(x, RRuntimeWarning)\n",
      "/usr/lib/python2.7/dist-packages/rpy2/rinterface/__init__.py:186: RRuntimeWarning: When a numerical problem occurs, the Hamiltonian proposal gets rejected.\n",
      "\n",
      "  warnings.warn(x, RRuntimeWarning)\n",
      "/usr/lib/python2.7/dist-packages/rpy2/rinterface/__init__.py:186: RRuntimeWarning: See http://mc-stan.org/misc/warnings.html#exception-hamiltonian-proposal-rejected\n",
      "\n",
      "  warnings.warn(x, RRuntimeWarning)\n",
      "/usr/lib/python2.7/dist-packages/rpy2/rinterface/__init__.py:186: RRuntimeWarning: If the number in the 'count' column is small, do not ask about this message on stan-users.\n",
      "\n",
      "  warnings.warn(x, RRuntimeWarning)\n",
      "/usr/lib/python2.7/dist-packages/rpy2/rinterface/__init__.py:186: RRuntimeWarning: The following numerical problems occured the indicated number of times on chain 2\n",
      "\n",
      "  warnings.warn(x, RRuntimeWarning)\n",
      "/usr/lib/python2.7/dist-packages/rpy2/rinterface/__init__.py:186: RRuntimeWarning: The following numerical problems occured the indicated number of times on chain 3\n",
      "\n",
      "  warnings.warn(x, RRuntimeWarning)\n",
      "/usr/lib/python2.7/dist-packages/rpy2/rinterface/__init__.py:186: RRuntimeWarning: The following numerical problems occured the indicated number of times on chain 4\n",
      "\n",
      "  warnings.warn(x, RRuntimeWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
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       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%R\n",
    "m <- prophet(df, mcmc.samples = 500)\n",
    "forecast <- predict(m, future)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This replaces the typical MAP estimation with MCMC sampling, and takes much longer - think 10 minutes instead of 10 seconds. If you do full sampling, then you will see the uncertainty in seasonal components when you plot them:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "output_hidden": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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JSL7bSL7bylA0SetglI6hKMun5XDxrHw2tg7ywJZ27nilmXs3trJiThHnlprY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NEBq8nA+OQIKm1O9pU2UN7oJMpibDNhenyoiUd+MIrrMhJ49JNDnVYdibAE4fUp8iobOVLbRFq8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\nQgghRD8kS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/znP7u7K31WVlYWkZGRbabyEV1j1apVPPnkk/3mHrZAkTievfHjxxMSEsLv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\nhBCiA5IkUAghhBCiA5IkUAghhBCiA/pfbtYYFy+3+r0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fdd687c2b10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "m.plot_components(forecast);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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0Y3787UXJzHLliH/ZzN4pzGiimu3uJ3dWDNbJl01II3AMRejtQzBHDQRz1Ago\nmBlGE1VvdW09Z95V2jw+Q7VohD5PCPdWQTAHFRDMxKpVq3p49g8//PDGG2+o1erS0tInnnhi9OjR\nc+bMCWf3LF2YTFaRGQmK9HhFteXKwEUcw0YkKa7L1eyuaN18oj5JKcnSSBBCDZQzWcWjnh+SJNk4\nFxhNVCPlfOzritGpqofHp+E4VpiijNQbF4vFOI4L68oWYq2qWcWcDli6ssUeIVa1VCp1uVzMtTlB\nSFaRgxOVBq1iRm7c5XbnxiN1RhPl8V75Edel6xaGYXK5XHAjVEQikdfrZe/wCBjB10uL2el0vvPO\nO/v378dxfMqUKXfeeWeYgy3Z+6IklUpJkmxvb0dd7pX6trr9taN12RrJg+PSUn46ZHny1ZKNtoXR\nRNW1O/+ws+L6XM1dVyWjSL9ZaDFHDbSYo0ZwLWaEEEEQIpGos7PTaKJsTnrHBcu282a9glw0InFC\npqqIl4NeocUcVGgtZpvN1tTUZDAYBg8eLJVKy8rKhg0bFs7u2fuiJBKJCIJgTmHJKjJZRfpmHcmI\nk8wenFDV1vnKt7W0Fw3VywgM40nTOeJtC6OJqmxxPLaz4qYh2tuLkhALX0GgxRw10GKOGsG1mBFC\nOI7jOO7xeJJVZIZGopOLbxmmwzH0b2PD9h+bWx0uqQhrsrr4cKLzgRZzUAEt5l7uY77rrrs6Oztz\nc3OZhziOL1iwgKWSRZxvnTWEkFSE3zMmZXpe/PrDtfsrW5+6JjM3QTrw5u80mqhSi/3pXZd+Oyrp\nlqFaxJuOAQAA25g/9jFpqln58YeqOz443bj5ZAOsWyVEvQSz2+3+4osvolMUlvjHc0689K835G47\nZ37kq4uLRyQuKkhktg+MQ9Zoos422p79pvKesVeWihoY7wsAEJKiVFVRquoaWLdKsHoJZoPB0NLS\nIrhZWrryxTOOYQsLEq9OV687WHOoqv3JazIyNZIB0HQ2mqjjdR1/3lfzyPi0qTlxCFIZgNjGTL5d\nlKJk7q1i1q1aOFwnoHurYlYvwVxbW5uamjp+/HjfvCQff/wx+6Viiy+eMzWSV2/M+/Bs09Ivy39T\nqF8wTCfoprPRRH1b3f5iyeWnJ6ePy1Ajwb4RAEBkMfFsSJAx61bd83nZuAzVYoHcWxWzehmVffDg\nwYAtkyZNCmd/0RmV3SvfsO2KFseLJdVSEfHEpIw0NYmiHmnhj181mqg9Fa0bjgs/Zw8AACAASURB\nVNQ9OzVzdGo0FomCUdlRA6Oyo0bQo7L7+HyjiWqxuz89b/7iQvMQnXTxCP2oFCWK7kkPRmUHFTAq\nu5fVpSZOnFhZWbl169arr766oaFh4sSJLBUrynyrHObGSzfNMRQlK+/fXv7ZebPXK7BlqYwm6r+l\nza8dqVs9LTs6qQwAEKgr61ZdlbxlwZDRqao1B2oe3HHxYFX7yboOYZ33BrxeurJXrlx57NixyspK\nDMM2bdp09OjRdevWRadkUVCYojSaKBGOLxmdNCFTte7g5YPV7X+YlC6Ibm2mkJ+cN79vbHxxZk6+\nVsbzAgMA+IA5UchJ/NZhuv+Vt7xzvP6d4/W3FehcNC3GYfA2L/TSlT1o0KDjx4/feuut33zzjdPp\nzM/Pr6qqCmd/POnKDsCEnJP2/vNEw5elzfeMSb4hPwHDEGI/nvvX6ccUeMvpxs9/sKybmZOlierl\nIujKjhroyo6aWOjK7spoomiv91B1+4dnmsw217xhujmDtazeWwVd2UEFdGX30mJ2Op2+I9XhcMhk\nMpaKxS3foLDfjUmemKl+saSmpLLtsUnpOrmYhwO2mVR++3j93orWv96YlwpjLAEA/cKcOnAMuyYr\n7pSJ+uBM439ON80dnHDrMF28TIR433E4UPUy85fL5XrqqadMJlNnZ+eyZcvuueeecePGhbO/6Mz8\n1T/MZGGJCvGNgxLKmx0bDtfFy0R5CbIGysneNGGhzpFkNFFeL3rtaN3Ry+1/uSE3WclBKsPMX1ED\nM39FjaBn/grzdZipEjGEpuXFj0lTHrncsfFIndnqztRIrE5PZM9+MPNXUKHNlY0Q2r179759++Ry\n+bRp08aOHRvm7tnr/xSLxQRBMMtIh+lkbTtC6JSJWrP3Up5W9uSU7DipCCFUlKYO/8UDkCTZ94Q7\nWdvuRWjd/sofmmx/nT0oXiZio0i9IkkSwzDB9a+GVNU8IZPJXC6X4BavFWJVy+Xyzs5OYX0HYoI5\nsocHc/YzdTj/Y6zfWWqZkKX5v8Jkg06GInQCxDBMoVAI7kKYSCSiaZqlYHa73RqNxn9LT8FssVje\nfPPNp59+OoIlaGlpieCr+ZNIJGKxOFKf96m6DoSQw01vPFJ77HL78qlZo5KvNExHRXRqeJlMZrfb\n+1gkL0IvldSUW2wvz8pTS0WRLUnfSaVSHMcF952371XNH0ql0ul0Ci7khFjVarXabrcLq6FPEARB\nECwdHqfqOlod7m1nzV/8aB6ik/2qMIm5tyrM0w6GYRqNhr0gYAlJkuz1XdE0rdVq/bf0FMxut7uw\nsHD79u2+ubLDx8/BX0H57h9g7hKeN1T7m0I9HrlVjRl9HCZjNFE07X3p4OXKVseLM3PVEoLDaz8w\n+CtqYPBX1MTm4K9eGU2UzUXvuGDZds6cqBAvGpE4MVONY/0/DcLgr6BCGPwlEomGDx9eVFQ0YcIE\nhULBbBT0zF8h8Y0Iuy5XM0Qnf35/9SmT9empGYlycZTvp2JS+cWDNTVtznWzclUkl6kMAIgdV+6t\nEuO3DtN9U97y7vGGd4833Fagm2aIF8RtpQIVozN/hYQ5/lw0/c739bvKWx+flD4h88q1lvAPyl7b\nFkYT5aG9a0tq6tqdL87MUfIglaHFHDXQYo4aaDH3yv/eqiara/7wK/dWMT/t43kJWsxBhXa71JYt\nW15//XXfwzvuuCPMYBYiX9P5vuLU0amqdSU1J+o09xaniHGM7e+MTCqvPlDTZHWtm5mj4EEqAwBi\nU8/3VkEDOoK6bTEPGTIEIVRdXZ2ZmclsYUaOff/99+HsT4gtZh/myLPYXGsO1FBOz4qpWenqK3cR\n9Ptw7K5twezLTdMv7Kux2N1rp+fISb5MygMt5qiBFnPUQIs5JMwJ6mKz44MzjUdqOqbnxS8o0KWq\nej8fQos5qIAWc7fBzFTc/fff799i1mg0IlEvjeyeCTqY0U+HI017/3Omaes58/1jk2fkJ/h+2o/g\nDHoK83Wev7CvptXhXj09h1frnEMwRw0Ec9RAMPcDc6YydTi3njX/72LLuAzVohGJhoSf56HqetaC\nYA6qr8HMEqEHM/IbrX220bZ6f3VhkuLB8WmhXmjx6XoK86Xyn/fWUJ2eF6Zny/iUygiCOYogmKMG\ngrnfmFNWq8P9yTnz9gvNg3XSRSP0RX6nLP/TFwRzUKGtLgW68q1MVaCX//2mfJub/v0XZWWWK3dt\nGk1UOOu0/JTK3j/tqbY6Patn8C6VAQDAH3NK1EhFd12V/P7CIaNTVS+W1Dywvbykqo32elHYZ8UY\n1MuUnBHH5yk5Q8LM3ykR4dfmaHAMW1tSIxHhQ3RyZumLvs/i6T95oW8tjVW7K50e7wvTs6UiPqYy\nTMkZNTAlZ9TE8pScEcHM69lscw3XK24eqhXh2HvGpi9+bJYQWHa8lMAw5qzYQLly9BrBTU/km5LT\naKLYmJ455Ck5I2sAdGX7830NrGh2PL+vOi2O/MOkDLWECHhaD+HKdPr5XsdJe1d+U+lB6Pnrs0iC\nj6mMoCs7iqArO2qgKzuCrozF8b+3aphuzhCtXIxjGBYXF9fa2srPk5s//1a+/8xfbJQcrjFHmO/D\nY+bvPFFHPT05c2Syoo+/7j95odNDP7O7CkPe567PJgkc8fXeAwjmqIFgjhoI5ojznRuN9dYPTjf+\naLbPHZwwb3hidrK2tbWV+RGvTnE99LdDMPcTV8HM8H2iuytaN/5y/s6e+YK5000/s7tShGGrpmWT\nkZ74M7IgmKMGgjlqIJhZ4js3+u6tunGY/ub8uNRfdghzeLrry/VvCOZ+4jaYkd+nW9fufH5/tdnq\njJOKFCShJAkVSShIQiUhFD/9X0niSgmhJAmdWiminQ43veKbSgmBr7o+S8zvVEYQzFEEwRw1EMys\n8p0e6ynX56VtO843XJ2uWjzyF/dWoWid9/oxEg2CuZ84D2bk93m7abqmzUk5aarT3eH0WJ005fRQ\nTjfl9FBOmur0UC431UlTTtrqdCOEpCJ8dKrqmWszxDh/e7B9IJijBoI5aiCYo8BoophrzJX15k/O\nm7f/2DxYJ1s0IrGoyxkv4ufAMIeFRzmYw5otZOvWrUePHkUIWa3WsWPH3nXXXQghs9n86KOP6vV6\nhNCyZcvS0tLC2YWwFKYomY9fhOM58dK+/IpUKmtqp6hOT5JCHPGlqwAAgD8KU5QYhlXakEYqumt0\n8uIR+i8vWF4sqdHKxItH6idmqph1q5BfjoZzPhTuPVqRaTFv2rRp/vz5ycnJCKHz58+fOXNm0aJF\nQZ85sFvMjJCOhoCVawWRytBijhpoMUcNtJijwzfBiO886aLp3RdbPzpjppH3toLE6YZ4cTejc/p4\nemQjj4XXlV1VVbV7926muYwQ2rdv34kTJ8RicUFBwbXXXsts/PrrrxsaGjAMmz9/fpi7645IJBKJ\nRA6Hg6XXD8nJ2l98PyhKU3f3BLFY7DsXdH0aPzH3MQvrdIAQIklScPdeS6VSt9vN3nxDLBFiVctk\nMqfTyZN7gvuIuY9ZWIcHhmFyudz3vc13JvR6vSWVre+fqm+knLeNSLp5uN43nWJ3/E+YAafciCMI\ngrmPGbFwona73XFxcf5bwurKZnz88cf33HOP76FMJisoKBg9evT69esTEhIKCwsRQmazuba2FsMw\nggi8xzdScBxHCLH3+iEZkxnfxyeIRKJjVc1IOKmMEMJxnNWPkiUCLTOO40IstuDKjH46hwiIQA8P\n5HeiHpMZ78vUaw26aw26E7Xt752s+9dJ07yCpNtGJifIxd29yOn6n3tl2K4EHMe9Xi+GYWzsq+vX\nwXBbzBRFrV+/fsWKFV1/tGfPHovFsnDhQv+NsdCVHRIhdvpBV3bUQFd21EBXdnR0N1d2QP/zxWbH\nh2caD9d0TMvTLCxITGVhsq2QRLkrO9xviMePHx85cqT/li1btpw6dQohVF1dnZKSEubrAwAAGPB8\naxAw8hKky6dkvnVLPoZh935e9vy+6vJmew+/PsCEG8zHjh0bNWoU8//S0tKNGzdOmzbtgw8+WLFi\nRWtr6/jx48MuIQAAgJgQEM/JSvKhcan/XjA4VU3+4etLT+26dFKwA61DAvcxc0yInX7QlR010JUd\nNdCVHR19X/YxoHPb5qK/vGDZdt7c9d6qKBBYVzYAAAAQcQH5JxfjCwsS/71g8NwhCf84Xn/Xp6X/\nLW120VFtWEYNBDMAAAA+6to2FeP4rPyEt2/Nv/uqlK9KW36z9cePzjTZnEJarLMvInC7FAAAAMAG\nJpsDurVxDJuUpZ6UpWbWrdpypmnu4IR5w3TxsgGSaAPkbQAAABiofLMdB25PVhQm51Q0Oz4403j7\ntgs8ubcqfNCVDQAAgO8CBmz7y+1yb1WZRdj3VkEwAwAAEIYeRkT731v1xM5LT+66dKJOYHeO+EAw\nAwAAEIye71Zi1q16f+GQsWmqlw7WPLC9/EBVOx3du4LDB8EMAABASHq9k1guxhcM1/1rweC5QxI2\nC/DeKhj8BQAAQGCCjtYOwNxbNcMQf7im48MzTZtPNswfpp07WCcn+d4ihWAGAAAgSN2N1vaHY9jE\nTPXETPXpeusHpxv/c8Y8d3DCrcN0CTy+t4q/JQMAAAB61pdsZoxMVoxk7q0623jHtgvX52puK0hM\nVfPx3iq+t+gBAACAHoQ0eXVugnT55My3bskncOzeL8r+zMt7qyCYAQAACFuoC0skK8kHx6W+t2BI\nupp8kn/3VkV7dSm7na3vJgRBEAThdDpZen2WiMViYS1ogxASiUQYhgmu2EKsav81bQREiFUtkUhc\nLhdNC2nWZQzDcBwX3OEhk8lYCoKTtf1ZXdDm9HzxQ9OHp0wJCvI3RSlTcuO7rluF47jX62XisihN\nHYGy+nG5XGr1L14Tln3kmBAXyINlH6MGln2MGlj2MTr6vuxj//TxenNXLprec7Htw7NNHtq7aETi\ndEO8GP85nmHZRwAAAKA/+p2aYhyfmR//9i3594xN+bqs5f+2/vjhmUau1q2CUdkAAAAGjr6P0+6q\nu3urksmoDt6GYAYAADCghJPNjIB7q6bnJ9xWkJisiFJiQlc2AACAgSYiV4J991aJMOx3n16I2r1V\nEMwAAAAGoEiN0kpWko9Mytxy27B0Nbnim8r2TndEXrYHEMwAAAAGpgiOoNbIRHeOTt6ycIhawnqH\nNgQzAACAASuydzcReOAtzmyAYAYAAAB4BIIZAADAQMbGlCCsgmAGAAAwwAkrmyGYAQAADHwCymYI\nZgAAADFBKNkMwQwAACBWCCKbw7ofa+vWrUePHkUIWa3WsWPH3nXXXQghl8u1YcMGiqKysrKWLFkS\nkVICAAAAERH+hJ1sC6vFvHDhwpdffvnll18uKCi48cYbmY1HjhxJTU1duXKlyWSqqamJRCEBAACA\niOF5uzkCM5hUVVXJZLLk5GTmYVlZWUFBAUIoJyenrKwsIyMDIWSz2dxuN0II67IAdWSx/foRh2GY\nEMuMoKqjAvsJ1wUJjRDLjARYbCEeHvw5e4xKVYXUbvZVdRQKH4Fg/vjjj++55x7fQ5vNptVqEUI6\nnc63WPojjzxy4sQJgiCYrm/2MLsWFqlUynUR+kOIxRZimcVisVLJ62/3QQmxqtVqNddF6A8hHh48\nOVHH2Yh+/JZWq4lsMWw2W8CWcIOZoii73a5SqXxb5HK5xWLJy8uzWCyJiYnMxjfffJP5j9lsDnOP\n3ZFKpSRJtre3s/T6LFEoFL6vL0Ihk8kIgqAoXl+k6UqIVa1Wqzs7Ozs7O7kuSGiEWNUajcZqtbpc\nLq4LEgKCIEQikbAODwzDtFote0EQkiwZ6mOjmSRJj8fj8XgQQmZZ5BexkMvl/g/DHZV9/PjxkSNH\n+m/Jz8+vrKxECFVVVeXn54f5+gAAAABL+HmxOdxgPnbs2KhRo5j/l5aWbty4cdy4cbW1tevWrdPr\n9cwFZgAAAICfeJjN4XZlP/74477/Dxo0aNCgQQihZcuWhfmyAAAAQGyCCUYAAADENL41miGYAQAA\nxDpeZTMEMwAAAMCjbIZgBgAAABDiTTZDMAMAAAA8AsEMAAAAXMGHRjMEMwAAAPAzzrMZghkAAAD4\nBW6zGYIZAAAACMRhNkMwAwAAAEFwlc0QzAAAAEBwnGQzBDMAAADQrehnMwQzAAAAwCOY1+uN5v7s\ndjtLr0wQBEEQTqeTpddniVgsFtba7AghkUiEYZjgii3EqvZfnl1AhFjVEonE5XLRNM11QUKAYRiO\n44I7PGQyGXtBwBKCII7XtDJxWZSmjuyLu1wutfoXrxnuso+hslqtLL2yVColSZK912eJQqEQXJll\nMhlBEIIrthCrmiCIzs7Ozs5OrgsSGiFWtVgsdjgcwvo+QRCESCQS1uGBYZhMJhPc4SGRSIZqyeM1\nrQghq5Vge3fQlQ0AAAD0LmoXmyGYAQAAgD6JTjZDMAMAAAA8AsEMAAAA8AgEMwAAAMAjEMwAAAAA\nj0AwAwAAADwCwQwAAADwCAQzAAAAwCMQzAAAAACPRHuubPZ8/vnnBw8efOmll7guyMC3efPmurq6\n5cuXc12Qge/BBx+cM2fOzJkzuS7IwPeb3/zmoYceKi4u5rogA5zVap0yZcrRo0cJgvWJLYULWswA\nAAAAj0R7EQv2JCYm5ufnc12KmJCamkqSJNeliAmDBw/WarVclyImFBQUBKzwA9hAEERxcTGGYVwX\nhNcGTlc2AAAAMABAVzYAAADAIwLryrbZbGvWrHG73XK5/IknnsBxfMOGDRRFZWVlLVmyxOVy+T+0\nWq1r1671eDx6vf7hhx+GzpOQ9FzVzHP+/Oc//+EPf5BKpQE1z2W5BSikqg54skQi4bTsAhNSVTMP\njUbj7t27H330Uc4KLUAh1TNN02+99VZTU5NarX7wwQfhRI0QIlatWsV1GUKwa9curVb70EMP1dbW\nms3m+vp6r9e7dOnSr776Kjs7++zZs/4Pv//+e51Ot3Tp0m+//Van08G1upD0XNU4jv/xj388c+bM\nwoULRSLRt99+6//TuLg4rosvJCFVdcCT8/LyuC6+kIRU1Qghm8322muvKZXK8ePHc112IQmpno8d\nO9bR0bF06VKn00mSpEql4rr43BNYV7bBYJg6dSpCSKVSicXisrIy5sSUk5NTVlYW8DAxMbG6urq5\nudlisWg0Gm5LLjg9V7VSqXzxxRdHjBjBPDngp9yVWpBCquqAJ3NWaGEKqaoRQps3b16wYAFXpRWu\nkOr5/PnzHo9nw4YNNpstOTmZw2Lzh8CCefDgwTqd7rvvvjt06FBxcbHNZmPawTqdzmq1Bjw0GAwX\nL1586aWXCIKAYA5Vz1WNYRhBEDh+5fgJ+CmX5RagkKo64MmcFlx4Qqrq7777LikpKSsri9MiC1JI\n9UxRVH19/eLFi48ePXry5ElOC84XAgtmr9f70UcfHTx4cMWKFXK5XC6XWywWhJDFYlEoFAEPP/ro\nozvuuGPNmjWFhYX79u3juOhC03NVBzy555+CnoVU1QFP5qK8AhZSVX/22Wfnzp177bXXzpw5s3Pn\nTi7KK1Qh1bNCoZg+fbper588efLFixe5KC/vCCyYDx8+TFHUsmXLlEolQig/P7+yshIhVFVVlZ+f\nH/DQ7XbTNI0Qomna7XZzWW4B6rmqA57c809Bz0Kq6oAng5CEVNWrV69+9tlnly5dOmLECJh8LSQh\n1bPBYGCuf1VUVCQlJUW9sHwksMFfO3bsOHv27P79+7/55huJRDJ+/Pjdu3eXlJTo9fopU6akpqb6\nP8zKytq8efO+ffva2tr+7//+jxnNAfqo56pmnrN3797JkyeLRKKAmue25IITUlUHPBk6WkMSUlUz\nD61W6+nTp2HwV0hCPXt89dVXX375pdfrXbRoka+LO5bBBCMAAAAAj8B3EwAAAIBHIJgBAAAAHoFg\nBgAAAHgEghmAmLN27dr169dzXQoAQHAQzAAAAACPQDADEBOcTud9992XlZVVXFx8+vRphFBbW9uc\nOXPS09MNBsPu3bu5LiAA4AoIZgBiwjvvvFNZWVlaWrp9+/aDBw8ihN5///34+Piampq//e1vX3zx\nBdcFBABcAcEMQEzYv3///fffL5FIkpKSbrvtNoTQhAkTSkpKnnnmGaVSCZecAeAPCGYAYgKO476V\nbgmCQAiNGjXq5MmTaWlpq1atmjdvHqelAwD8DGb+AiAmvPHGG9u3b//000/b29uLi4sffPDBtrY2\nj8fz3HPP1dXVDRo0qL29HWZDBIAPYPpoAGLCnXfeefLkycGDBycmJv72t7+Nj4+/6aabFi9e/M9/\n/lMsFm/cuBFSGQCegBYzAAAAwCPwHRkAAADgEQhmAAAAgEcgmAEAAAAegWAGAAAAeASCGQAAAOAR\nCGYAAACARyCYAQAAAB6BYAYAAAB4BIIZAAAA4BEIZgAAAIBHIJgBAAAAHoFgBgAAAHiEs9WlrFYr\nV7vuDo7jOI673W6uC8IBkUhE0zRN01wXhAMkSbpcrhhczQXHcYIgXC4X1wXhALMitcfj4bogHBCL\nxW63OwYPeAzDRCIRPw94hULh/zAywexyuTZs2EBRVFZW1pIlS/x/ZDQad+/e/eijjwb8it1uj8iu\nI0gikUilUh4WLApUKpXH43E4HFwXhANyubyjoyMGv5SQJCkWi2PzgFcqlR6PJzbfu0wms1qtMfil\nRCwWSySS9vZ2rgsSREAwR6Yr+8iRI6mpqStXrjSZTDU1Nb7tNptty5YtEdkFAAAAEAsiE8xlZWV5\neXkIoZycnLKyMt/2zZs3L1iwICK7AAAAAGJBZLqybTabVqtFCOl0Ot/F4++++y4pKSkrK6ukpMT3\nzHvuuefEiRMEQRw9ejQiu444nU7HdRG4IZFIlEol16XgRkJCAtdF4EzMHvCoS/9h7IiPj+e6CJzh\n4QFvs9kCtkQmmOVyucViycvLs1gsiYmJzMbPPvtMKpUajcaampqdO3fOnDkTIfTCCy84nU4Mw1pa\nWiKy6wgiSZIkSYqiuC4IBxQKhdvt7uzs5LogHNBoNO3t7TF4jVksFkul0o6ODq4LwgG5XE7TdGwO\nqoiLi6MoKgavMYtEIrlczsNrzDRNy+Vy/y2RCeb8/PzKysri4uKqqqoJEyYwG1evXo0QamxsfO+9\n95hURgj5YttsNkdk1xHEnJpj8HhFCHm9XpqmY/O9I4Q8Hk8MBnMsj0yGAz4G3zuO40ggB3xkrjGP\nGzeutrZ23bp1er0+IyOjtLR048aNEXllAAAAIKZgXN3NxsMWM3O7VFtbG9cF4YBKpXK5XLHZs6fV\naltaWmKwxUySpFwub21t5bogHIjl26USEhLa2toE0XCMLLFYrFQqeXgVFXW58s3ZBCOAV05cbnO7\n3UO1JNcFAQCAWAdTcgJkNFG+//j+DwAAgBMQzDEtaBJDNgMAAIcgmGNXDwEMTWcAAOAKBHOM6kvu\nQjwDAED0QTDHopDiFrIZAACiCUZlx5yuQWuxuR7feT5OSvx+bLJOLu7uVwpTYnTCTgAAiCZoMceQ\noF3TPzTZ7t9ePihRrpWTd39W9sl5M00Hv7Udms4AABAF0GKOFUFjdU9F64YjdfeNTZ5XmO52u2fk\nqf96qHZnefMj49OHJsq7exFoOgMAAHsgmGNC11Smae+7Jxv+V96yelr2MP2VDDYkyDbOyfuqrOWp\nXZVTc+LuHZMiJ4P0qUA8AwAAe6Are+DrmsrtnZ6nvqk8XtuxcXaeL5UZOIbNHpTw7q35Tje95NML\nu8q7nb4OerYBAIAN0GIeyIJmZ01b57O7q/J10uevzyKJ4N/MtHLxk5MzDle3v3a0bv+ltofGpyYp\ng8zWCU1nAACIOGgxD1hBU/no5faHv7w406BZPjmzu1T2GZ+pfvfWQYN1sns+L//XyQZXN8s8QNMZ\nAAAiCFrMA1PXsPR60YdnGj86a14xNWN0qqqPryMR4bcXJU3Kilt/uPZgVdsjE9IDur79dwdNZwAA\nCB8E8wDUNZXtLnpdSc3l9s5Ncw0pqiCd0qPT41wu19FLwdfizE2Qrr8x95uLrSu+qbw6XfX74hS1\nNMiRA/EMAADhg67sgaZrKtd1OB/6stxFe1+9MUgqF6YofVHq//8AOIbNMMS/fesghNDdn5XCoDAA\nAGAJtJgHjqCJeLrB+tyeqlmDEu4anYRjWMBPg8YwszHoqyXIRE9Ozjhpol49XLuzrOWRCWkZcZLu\nSgJNZwAA6AfOgpkgCK523R0cxxEvC9YXp+o6mPL723HB8tYx0+OT0q/J1nT9lVF+V5oxDMNx3P+9\nj06PO1XXEXRfV6Wp375V9Z/TDUt3XFxQoPv1yCQxERj5CKEzDbZRfb6YzS2CILAu31oGPEEf8GHq\nesDHlNh847w94Oku42oxrzf4/ItsoyjedXiKRCKxWGy327kuSMhO1rYHbHF5vH8pqTplotbMMuTE\nS7v+SlGa2v+hVCr1eDwul6svL+5zua3z5ZKqRsr52DVZV6V1m8EB++IbpVJptVq5+kPgEEEQJEkK\n8YAPn0Qi8Xq9TqeT64JwQKFQ2O32rmEw4BEEIZFIbDYb1wUJ5Ha7NZpftJ04C2azOfg4Iw5JJBKp\nVNrW1sZ1QUITdFGKP+2tFmHYyuuy4qSBXw+D9jCrVCqXy+VwOPq+F4bXi/53seWNY6biNNV9xald\nd9fDTnlCq9W2tLTE4HmKJEm5XN7a2sp1QTigVCo9Hk9sfilJSEhoa2vzeDxcFyTaxGKxUqlsael2\nfAyHdDqd/0MY/CVsXfOyzGJ/cMfFnHjpulnZfUzlvujuFzEMzTDE/2PeYFKE3/nJhS9Lm4N+04Ol\nnQEAoI9g8JdQBc253RWtG4/U/X5sysz8+K4/DbPZ2sOgMLWEWDYh7fpczfpva3eXtz48ITVLE6T/\nHAaFAQBAr6DFLEhBF6V4+3j9m8dMa6Zns5HK/q/T3UuNTFa8eYuhOF25SnhhnwAAIABJREFUdMfF\nt4/XO2H5SAAACB0Es/D0tCjFnLyuyzX2EKX91t0LinB88Uj9Gzfll1rsd39S+n1t8HHd0LMNAADd\ngWAWmK55dqnF8cD2sngp8ersPL0iyPwhLJWkh7xPVZPrZuTcPSZ5zYGa5/ZWtzrcQZ8G2QwAAF1B\nMAtG0FbmkZr2x76qmD0o4elgi1JE4WpuD7uYnB23ef5grVx01yeln5w308FGhUHTGQAAAsDgL2Ho\nx6IUURtj1cOgMBVJPHB16uRszauHL++vbHtkfFrQm6phUBgAAPhAi1kAgi5K8dze6t0VrZvmGrqm\nMhsXlXvVw05HJMn/fpNhSnbcsq8qNh2ts7tg+UgAAOgWBDPfdb8oBd3dohTRKloQPQwKmzdM97e5\nhpo2xz2fl34Hg8IAAKAb0JXNa11T6nS99bm9oS1KEWU99GynqMi1M3IPV7e/cuiyIUH28IS0RLm4\n69OMJooPbwQAADgBwcxTQYPty9Lmt7+vf2xi+qSsILNP8yrMeojn8ZnqEcmKf55suPezst+M0t8y\nRIvjgd8w4KozACBmQVc2H3XNMxftfelgzYenm165IbdrKnNyUbkvuiuVkiQeuDp17cycb8pbHthR\nXmoOPq08dGsDAGIQBDPvBF2U4tH/Vpg6XBvnBFkqip+R7NPDl4ZBWtnGOYbphvgndlVuOlpnCzYo\nDK46AwBiDQQzv3QNofONtt9vL89NkK6bGclFKaKsu3ISODZvmO7tW/LNVvedn1w4UBV8iUmIZwBA\n7IBrzDzSNXtYXZQiynq46qyTi1del3m4un3jkbpdZc0PjUvVKwNHmyMYFAYAiA0QzLzQNa48tPcf\nJxu+udiyZnp20Omvo1W0COt5UFhRqvI9Y+Pdn5X9emTibQWJMCgMABCDoCube0EWpXC4n/7fpdMN\n1tfnGAZSKvt09xakIvzuq5JfuTH3YHX773eU/dAEg8IAADEnMi1ml8u1YcMGiqKysrKWLFnCbLTZ\nbGvWrHG73XK5/IknnpBIJBHZ1wATdFGKZ76pHJ4kf2xiOifTX0dHD01nQ4Jsw+y8r8pantpVOTUn\n7t4xKXIysB6g6QwAGKgi02I+cuRIamrqypUrTSZTTU0Ns3Hv3r2FhYVr1qzJy8s7cOBARHY0wHS3\nKMWcwZwtShFl3Y3ZxjFs9qCEd2/Nd7rpJZ9e2FXeEvTXYVAYAGDgiUyLuaysrKCgACGUk5NTVlaW\nkZGBEDIYDFqtFiGkUqnE4iATPMW4gETxW5Qic3RqYFYNvEj2V5iiDJqvWrn4yckZR2raNx6p23+p\n7aHxqUkwKAwAMNBFJphtNhuTwTqdzmq1MhsHDx6MEPruu+8OHTr07LPPMhuXL19+7tw5giC2bt0a\nkV1HEIZhGIbFxwcZ/xxZJy63IYTU6p/nCbE53at2lV1udfzzV6PS4gLvVB6dHsd2kXAcF4vFMpmM\n7R11Z2p8PPqpZgLMGK6ePCjl38dr7/2i/FejUpeMTRd36Uu4ZEWovxWFYVhcHOs1zENRO+B5CMdx\nr9crlQZZ62zAw3Hc/+QTOzAMw3Gchwe8w+EI2BKZYJbL5RaLJS8vz2KxJCYmMhu9Xu/WrVsvX768\nYsUKufzKCKb77rvParViGNbREXwZAw6JxWKJREJR7HaNnqoLfON1HZ1/3FWRqpa8OscgF3l832wY\no1JVUagruVzu8Xg6OzvZ3lHP8uNwFKyKEEK/HqG9Ok3+ysGa3WVNj03KHKYPHBOHECq5YB0VbAXM\nnsXFxVmtVpoOvubVACYWi6VSKQ//EqNALpfTNN31hBgL4uLibDabx+PhuiDRJhKJZDIZDw94mqYV\nCoX/lsgEc35+fmVlZXFxcVVV1YQJE5iNhw8fpihq2bJlmN9aC5mZmcx/zGZzRHYdQQRBeL1et9vN\n3i66dth+X9uxen/NjYOZRSm8AX8thSlKVsvj4/V6PR5PdPbVqwK9LGjPdnYc+eqNef+72PL0zotX\np6t+X5yilgYewMdrWlHoPf9utzsGg5lpNfLkQ48ymqb5c8BHGfOhx2AwM0kkiA8d83q94b+Ky+V6\n7bXXXC6XXq9fsmRJaWnpzp07RSLRDz/8wPSOzp49e/Lkyf6/wsNglkgkUqm0rS1Ib2pEdA2bHhal\niPJFU5VK5XK5+NaA6G5gV7Pd/dYx0/G6jrvHpMwwdNsx1cc61Gq1LS0tMRjMJEnK5fLW1lauC8IB\npVLp8XjsdjvXBeFAQkJCW1tbDAazWCxWKpUtLcFHknJLp9P5P4xMMPdDTAVz0EUp/nro8tkG23PX\nZ2XzYPprfgYz6vGW5VMmav3hWq1M/PCEtMy44Dfj9aUmIZi5LggHIJghmHklIJhhghHWdbcoRbPd\nvekmAx9Smc96WANjVIryzZvzC5MVD+64+K+TDS46yFdMuJ8KACA4EMzs6mFRihemZatIoS5KEWXd\nxTNJ4LcXJW2aazjTYL3709ITdcEzGLIZACAgMFc2i7rmwTcXW147arq/OMiVUYjkXnV3u3O6mlw3\nM/d/F1te2F9dnKa6rzi16zJcMFMYAEAooMXMloAI8dDet4/Xv328fu30bEjlfuuu6YxhaIYh/h/z\nBpMi/M5PLnxZ2hx07AQ0nQEA/Act5sgLuijF8/urHR7v63MMCfLASdAglUPV3TzbagmxbELa9bma\n9Ydrd5e3PjwhNUsTeAkfms4AAJ6DFnOEdU2LihbH/dvLE2Til2fmQCpHUHdVNzJZ8ebNhuJ05dId\nF98+Xu+EQWEAAEGBYI6kruf6A5Vty/5bMWdwwlOTMwIWpehhvDHoo+7qUITji0fq37gpv9Riv/uT\n0u9rg8/1A9kMAOAh6MqOmKCLUmw9Z155bcwtShFl3fVsp6rJdTNyDlS2rTlQU5isfGh8qqbLTGFG\nExVnI3Lh0wAA8Aa0mCMjIBXsLvpPe6v2VLRummuAVI6O7mp1cnbc5vmDtXLRXZ+UfnLeTAcbFQY9\n2wAA/oAWc7i6ntDr2p3P7qnMjJNumGOQigb+msr80V3TWUUSD1ydOjlb8+rhy/sr2x4Zn5bTZV4X\nBOPCAAD8AC3msARdlGLpjvJxGeoVUzMCUhkuKkdHd5U8Ikn+95sMU7LjHvlvxaajdXZX8Dk4ofUM\nAOAWBHP/BV2U4oX9NY9OTL/7qmTcb00tBO2w6OphUNi8Ybq/32SoaXP87rPS77oZFIYgngEA3IGu\n7H4KOGtfWZSi0fbXG3Jh+mue6K5nO0VFrp2Re7i6/ZVDlw0JsmdmDpV18wrQuQ0AiD5oMfdHwLm+\nyeZ65MuLzXbXprmwKAXvdFf/4zPVb90ySCcX/+rfx/91st7q7HaxHWg9AwCiCYI5NF3P0ecabQ98\nUVaYrFg9LSdgUQq4qMwT3X0QKpJ4ZELapvkjLpjtv/34wvvGRpuz28UfIZ4BANEBXdkhgEUpBK27\nnu0heuUL03PKLbb3TjX+ZtuPtwzRzh+uU3RZ+IsBndsAALZBi7mvYFGKgaG7jyY3XvrstZkvz8yt\nbO387bYL/zrZAJ3bAABOcNZixn45aJk/ghbMaKL8t7c53H/eW+Wk0d9uGpQgC6xDgaYyhmG8/VAi\na1SqCnX5psW89zytbOV1Wecbre8bG2/fduHmoboF3beeT9dbkWA/bp8Y+dC7ip0DvqsYf+9cF6F3\nmDfo8njss1qtnOy3ByKRSCQSORwO/40na9sDnnax2b786/Ix6apHJmWJ8V98xkVpatZLyQ6JRELT\ntMvl4rogUcV8uDKZzOFwdP1DOFtP/fuk6VwDNb8gaVFhslzcU/eSED96giBIkrTb7VwXhAOxecAz\n5HK5w+Gg6W6HUwxUOI5LJBIeHvButzsuLs5/Sy/B3NjYqNfr2SiK2Wxm42XDIZFIpFJpW1ubb0vQ\nRSn+cqj2VyN0i0cGVougW04qlcrlcgV8KYkRlTaio6Oju/PU+UbbltONPzTZFg7X3TpMJ+kylZs/\nYR0DJEnK5fLW1lauC8IBpVLp8Xh4eI6OgoSEhLa2No+n2ys1A5VYLFYqlS0tLVwXJAidTuf/kFi1\nalUPzx46dOiBAwdkMllubi5BBO/Q6x+bzRbBV4sIpsXc2dnJPAy6KMW7JxqevTZz+oC7qMw0INxu\nN9cF4UBeckKciK7v6Az600SF+LpcTUGSYk9F6xvHTF6vd5BORuDBe8MaKGcD5UxWkWyWN2IIghCL\nxbH5bYwkSa/XG5sHvEwm6+zs5KqvlENMFxE/D3i5XO7/sJfBXxUVFffee+9HH300aNCgZcuWnTp1\nis2y8UhAKttc9KqfFqUo6pLBQk9lgHq7t224Xv78tOw/XZ99wkT9+qMfPzjd6PTAjVUAAFb06Rpz\na2vr+++//9RTTxEEkZubu3HjxokTJ4a5Yz53ZQecVevanc/srszSSJ+4Jr3r9NfRLSNbYrkrW6vV\ntrS0+Hdl9xyrZxtt/zxRf6nFsWC4bt5wXcAy2wH4fIRAVzZ0ZccUAXVl99Jifv/992+66aYRI0ac\nPXt2x44dFovl7bffvv3229ksIZdOXA5M5e/rqKU7ysdnqp+ZmjlQUxkE6Ln1XKCXvzQrd9X12d/X\nUXdsu/DJebOT7vbbLbSeAQCh6uV2qT179ixduvS6664Tia48c/To0atXr2a/YLzwZWnz29/XPz4p\nfWJm4JhbSOUBr7sJSRgFevnLs3LPNtr+cbz+47PmBQW6OUO0ZDfXnmFaEgBA33Xblb148eKg2z/4\n4IOI7JifXdnnzZ0URSGEnLR3/be1Zxusz12XFQvTX0NXds93j/Tc6j1R1/GPE40Wu2vBcN3cIVpx\nN/HM4M/BA13Z0JUdUwTUld1ti/nuu+9mvzA8Zba5Vu2pUpL4prmGrtNfc1UqwKGeW8+jU1WjU1Un\n6jrePdHw8Tlzz/EMrWcAQM+6DeZp06YhhNxut68TGyF0+PDhaBSKU+cbbav2VI7PjHtoXGrAXTFw\nMo1xfYznd443bDtn/nWhfpYhvrsbqyCeAQDd6WXw169//Wtmcpympqa77767u/7tAePzcw1P/e/S\n3VclL5uQBqkMgup5aNjoVNWmuYbHJqZ9eaH59m0Xvixt9sDQMABAKHoJ5uHDh8+fP//1118fOXKk\nXq8/f/58dIrFCZeHPlTZ8v/Zu8/4KKq9D+BnZra3tM2m90IIgZCEhBAgRHqzgCKgqKhcFUEURbwq\nig29ItcC6rUg8ihcARugl15ClRqyEClJCOmbXjebrbPPi9FlSTa7IZnd2fL/fvIimczOnNmZnd+e\nMzPnrJkcPTHOt8u/IJVBF7bjeXrs08ODd1xpeOzXwv3Xm0mIZwBA79h+jvmDDz546623Tp8+nZiY\nSOOKnfzmLxMPiWS4+as/XQdbiVWjEZ2qaPsuv7ZdY5hrtXGb4sjjDW7+gpu/PIo73Py1bNky0+8y\nmWzRokVpaWkIoTVr1tivcM7GQ1IZ9JOVa88YhkaESzLDJKcq2v4vv3bLxbo5Q2RTYn1wuPYMAOhB\nj8GclJRk8XfPASdHcFt6Gc8b82t+/rNhzmD/8dHeEM8AgO56DOb58+cjhIxG4+bNm8+ePbtmzZqd\nO3fOnDnTcUVjFJwTQd/YjOfhYeLTFe3fXqjZeql+NsQzAKAbGz1/rVy58uzZs6WlpRiGffbZZ6dP\nn169erVjSsYUOA+C/rMSzziGUfF8vKxtY17ttoL6+5P8x8d44z2M3y5XKOGYBMCj2Lj5Kz4+/vz5\n8zNmzDhw4IBWq42LiysrK6Nlxc5581eX8Zg9B9z8Zb9x463cGkYajcfL2r7Nq2Xh6KGhAaMjvHpI\nZ4Ts8JURbv6Cm788ijvc/EXRarXUc8wIIbVazefz7VUuANyU9dpzdqTXqAjJ8bK2DXk13+fXWoln\naNkGwEPYCOZFixZNnDixubl59erVmzdvXrhwocXZdDrd2rVrlUplREQEdXG6p4kAeKZexvM35yGe\nAfB0xBtvvGHl3yNHjoyJiRGLxSwW67nnnuvp5q+TJ08ajcbFixfv3r07MjLSy8urp4kmKpWKvq2g\nB4vFYrFYGo2G6YIwgMvlkiSp1+uZLggDBAKBWq3uzcDk/Rco5gSKObVKbfd/YRgW4c27M8FXwCY2\nXqjdU9jkxWOFe/EsxnOtUlur1AaKOf0pDEEQbDbbM69fcDgco9HomQc8n8/XaDSOOeCdCkEQHA7H\nOQ94gUBg/qeNnr+MRqNCoWhra1u2bFl5eXlP+7KoqCgmJgYhFBUVVVRUZGUiAMBKfZeF4xNjfTbM\niLsvyX/9uZondxYeLW3t6RQKXYYB4JbouStbpVL5+fkhhKRSaUdHh5WJq1atunr1Ko7j33zzDZ3b\nQQcMw3Ac9/b2ZrogDKAqTzxe1wEuPQGGYRJJ1/G27W2MtzdCKK+yxzsN703xuntI6N7Chm/OVPxy\npWn+sNDR0V17iqWUKBFCKDXUy+J/rfDkAx7HcYQQl8tluiAMwHFcIpF4YI3ZaQ/47pV4G8G8ZcsW\n6q5sFou1Z8+euLg4i8EsEAgaGxtjYmIaGxv9/f2tTJw5c2Z7eztCyBTVzoPNZnM4HCcsmAMIBAK9\nXq/VWmhidXteXl6dnZ32uyvbigE+LIRQfnV7TzOMjRRnhyccut7y4dGSb89WPDg0MCvc8neIE0Wd\nCKGhweLer53FYvF4PM884Pl8PkmSnnndSiKRqFQqRg54ZhEEIRAInPCA774v6LkrOy4urrS0NCMj\no6ysLCsry8rEgQMHUr844eNSOI4bjUbT9noUkiQNBoNnbju10xk8Tw3y5yGrT1WNjZKMjhDtK275\n6HjZJiFn7mD/ET3E87nyZtTrW8MwDPPYA57L5XryAa/X6z3wcSn094ed6VLYZuMaM3VX9o0bN1av\nXj169Oie7srOzMysqqpavXq1TCYLCwsrLCxct25dl4l2KDwA7sP6cFVsHJ8W7/vdfQMmxfl8cqrq\n2V3X/yhv62lmuPYMgEuzPbrUwYMHc3NzBQLB+PHj09PT6VqxE9aYoYMR57xf0d7s3cFIH1iPVR1J\n7itu+e5CbaCY88jQgNRga/VjK2EPHYxAByMexX06GJk3b96UKVOeeeYZmUxmz1IBAG6y8tAz+rv2\nPDHWZ19x8/vHKgLFnPkpASk9BDA89wyAy7HRlD1+/PiDBw+OHDkyPT39tddeO3HihGOKBQCw1biN\nTYv33TQrYWKsz3tHK57ddT2/53o2NG4D4EJsN2UjhOrr67ds2bJ69erKykq6brKHpmynAk3ZTtWU\n3Z31WFXryV2FTVsu1gVJuI+lBiYHCq3MbAp7aMqGpmyP4j5N2QsXLjx27BiGYWPGjPnoo4+ys7Pt\nWTYAgGXWG7d5LHxmonRqvO+uwqZVuWWRvvxHUwIG+gsszgyN2wA4ORvBLJfL1Wr1hAkTRowYkZGR\nAVeaAWBQ7+P59YOlUb78x1ICEnqOZzabzePp2tshpwFwLrabsjs7O8+ePXvkyJGvvvoKw7Dy8nJa\nVgxN2U4FmrKdvCm7O+uN2506cseVhm0FDbFS/uOpAQOkFuKZ6uuN6vDH0wgEAoPB4LEdjMRKMGjK\ndiq315R97ty5I0eO5Obm5ufnp6WlTZo0yZ5lAwD0lvXaM5+Nzxkiu3ugdMeVhn/uK42T8hekBsRb\nimfggfKr2wcHwMHgvGzUmKkwnjRpUlZWFpvNpnHFUGN2KlBjdrkasznrtWeVjtx5pWFrQUOclL8g\nLTDe76/++6DG7LE1ZqVSSR3wHnUJw31qzOfPn7dnYQAANLBeexaw8TlDZHcNlO680vDS3huDZIJH\nUgLi/Cx3rws8ilyh9KhsdhU2nmMGALgK6889U/G8eVZCkkywfO+NFQdKixqdbkx04HjwjLsTslFj\nBgC4lt7UnqfG+/50uXHJb4VxUiEbIwXsm+cBHgtjEze/rws5OI5h1O84hgSsm//isQk2gZn+FHMI\n0+8sHOOxbv6LxyJYf8+JISQym5NNYFyzZQpYOIHffCFwGKg6O5VedTBiD3CN2anANWaXvsbcExvX\nng1YQYOmTdmhMdw8Cai0BgP5158kQirdzbdFoye1ZnN2aE0zItJoVOlvzqnWkXrDzT/btTdvANaT\nRrX+5kI69bfMaQ7HMSH7ZoRzCIxj9j1AyLn59YHAcT7H7BsDgbPM0l3ExTH0159sAuOxcIQQi8Uy\nGo0W70zWGUjzElpkREalxvYBo9YZ9Lbm0elJjd7GokiEOrS2b6Lu0JI2z+bUuuYky+YOlrJxCy2m\nbhzP7nONGQDguqzXnr14rHGxovZ2jmML1SOjESl1N+NHZzCaJ1anjtT/XYsgSaPKbE6N3qgziySl\n2dcHg+HWOQ23zGkRm8AlXJywVW9ne+M8lo1LgV2aB3rCZ/didQTBZdmYCceQ+VeZHkvF4a8+VHT0\nRsvzWaGJsq73ZkPV2RlAMAPg5qzHs/PAsFvaw+3Ks+/KFn48Lfa3qw0v7y/NifJ6Kj2Iz77lGwb0\nDcc4uPkLAI9g/dYw4GmmxftumBHXotb/Y3vh+WoLj8zBTWEMgmAGwINAPAMTPwH7zbERT6QHrcqt\neOtweZvawgVxyGZGQDAD4HEgnoFJdqTXhpnxXAJbsL3wWFlb9xmg6ux4cI0ZAA81NFgsEAhaWmh4\nLgNO3C7Nm8d6KTvsdGXbxyer9hY1Lc0K8RN07ecRbgpzJMYel3LCkVAJgmCxWJ55PwiHwyFJUq+3\n+XCHG+Lz+Wq1mqkPAoM8+YBns9lGo9EzD3gej3eqpN7iAd+hNXx6svzw9aaFI8LuTrQ8lmBKiMTO\nBbQXHMc5HI4TPhSq0+kkklveVXiO+SZ4jtkJD1kHcOPnmK3jcDgCgaClpYXpgjBAJBIZDAYnrB44\ngK+vb2trq8Fg6Kmd42Jtx4cnKoNEnKVZITKRhafpXLTq7ELPMcM1ZgAA8EQ95euQAOFXd8fF+PEX\nbC/acrGO7FZ5g6vO9gbBDAAAHqqn2wA5BL4gLfBfE6MOlLQs3V1S3mrhegdks/1AMAMAgEfrKZ4T\nZYIv7oodESp+5vfr312o1Xe73ANVZzuBYAYAAGC5ZZuF43OGyD6eGn2mqv3p34oLGyyMSAbZTDsI\nZgAAAAj1XHWO8uGtnRZz90Dp8n2l68/XdB8sA6rO9IJgBgAAcJPFbMYxbFq873/ujC1sUC34tVBe\n09F9HshmukAwAwAAuEVPVecgMef9idHzkmVvHi776GSV+aigFKg60wKCGQAAgAUWsxnD0MRYn/V3\nx7Wq9f/YXniuyvIAGPYvnTuDLjkBAABY1tOYob4C9htjI46Wtr53tCI5UPTciGAJ75Y0gbEj+wNq\nzAAAAKzpKV+zI7023jtAzCUe3154tNRCn4nQst03EMwAAABs6Omqs5hDLM0KeXFU2BdnFCsOlDao\ndN3ngWy+XRDMAAAAeqWneM4IFa+/Jz5IzHlie9H/Cpu6j8AAVefbAsEMAADgNljMZgEHXzQ8+K3x\nkT8VNLywp6SqTdt9HsjmXoJgBgAAcHt6qjonyQRf3h2bKBMs3Fm05WIdCV2R9AkEMwAAgL6wMgDG\nR1NjjpS2PrenpLwFBsC4bRDMAAAA+qinqnOML2/d9JisUPGi34vXn6/RwQAYtwOCGQAAQL9YGQBj\n3bQYuaJj0c7iazAARq/R08GITqdbu3atUqmMiIiYP38+NVGlUr333nt6vV4gECxfvpzL5dKyLgAA\nAM6mp65IIn14n0yL3l3U/NK+0gkx3o+nBfJYt1QIoSuS7uipMZ86dSo4OHjlypUKhaKiooKaePjw\n4eTk5Pfeey8mJubo0aO0rAgAAIDTsjIAxhd3xZa1ap7YXpRvqZYMVWdz9ARzUVFRTEwMQigqKqqo\nqIiaGBsbm5OTgxASi8VsNpuWFQEAAHBmPV11DhRx3p8QNW+o7K3D5TAAhnX0NGWrVCo/Pz+EkFQq\n7ej4aziwAQMGIITOnDlz4sSJ119/nZr40UcfFRUVEQTx4Ycf0rJqGuE4juO4l5cX0wVhAEEQLBbL\nMy83YBgmkUiM3ftEcHcYhhEE4bEHvNFo5HA4TBeEATiOi8Viex/w2V5eCKG8yq79dM4cKhoTH7Am\n98ZjvxYuz4nOjvbtMsP1dpQaapdjEsMw5zzDazRdb1zvVzAfOHCgoKAgMzNTIBA0NjbGxMQ0Njb6\n+/tT/zUajT/++GNlZeWKFSsEAgE1MTs7e/DgwRiGqdXq/qzaHlgsFofDccKCOQCPxzMYDDqdhe70\n3B6bzVar1R4YzCwWyzk/iQ7A4/FIktRqLXSC4fZYLJZGoyG73SZtD4lSbn511+GnxCz05vioE6Ut\nq3NLdl+tWzoq3PvWATBOldQjhIYGi+ktDEEQPB7PCQ94vV7fZQpGy/no2LFjCoXi/vvvX7169dy5\nc8PCwhBCJ0+evHr16qOPPophWPeXNDQ09H+99OJyuTwer7XVQlfsbk8sFut0Oic8ZB3Az8+vubnZ\nMecpp8LhcAQCQUtLC9MFYYBIJDIYDJ2dnUwXhAG+vr6tra0Gg8GRK7XYRt2uNaw/V3OyvPUfw4Im\nxvp0n4HeO8LYbLZIJGpubqZxmXSRSqXmf9ITzDqd7tNPP9XpdDKZbP78+YWFhXv37mWxWFeuXOHz\n+QihadOmZWdnm78EgtmpQDBDMHsUCGYHBzPq+fauM1XtH5+sivLmPTcyxF9g4W4kuuLZ44K5DyCY\nnQoEMwSzR4FgdnwwUyzGs0ZPfi+v+9+1pgXDAqfG+VpqY6Uhnl0omKGDEQAAAA5iMV+5LHxBWuA7\n4yN/Lmh4YXdJpccPgAHBDAAAwHF6ep5qkEzwxT1xQ4OEi34r9vABMCCYAQAAOJrlATBw7OGUgI+m\nRB8tbX1ud0lps4WLa56QzRDMAAAAGNBT1Tnal7duemxWmPiZ/133zAEwIJgBAAAwxmI8Ezg2Z4js\ny7virtSpnt5ZfLXeswbAgGAGAADAMItV52AJZ83k6HsSpcv33fjr4+f4AAAgAElEQVToZJVa7ylV\nZwhmAAAAzLNYdcYwNC3e9+u742qV2n9sL8yr9ogBMCCYAQAAOAuLVecAEedfE6P+MSzondzy949W\ntGm6PoTtZlVnCGYAAABOpKebwrIjvb6ZEa/Rkwu2Fx4va+s+g9tkMwQzAAAAp2Mxm334rNfHRiwd\nEfLp6aq3Dpe3qt2z6gzBDAAAwBn1VHUeES5Zf0+8mEs8+su1/xU2dZ/B1bMZghkAAIDzspjNIg6x\nNCvklZzw/8rrXtl/o66jay+eLl11hmAGAADg1HqqOg8LFm2YER/ty39yR/EvlxvIbmMyuWg8QzAD\nAABwAVYGwFg1PvL3a03P7y6paNV0n8flshmCGQAAgGvoqeqcKBN8dXdsZqh48e/XexoAI7+63SFl\npAEEMwAAAFdiMZ5ZOD5niOyjqdFHy9oW/l5U1OjCg21DMAMAAHA9lgfA8OGtmxYzKdZ32Z4b68/X\n6LpVnV0CBDMAAACX1NMAGDMTpf+5K/ZqvWrhzqIrlgbAcHKYsdttbI7R2el07QwEQbBYLI3Gwr0D\nbo/D4ZAkqdfrmS4IA/h8vlqtZuqDwCBPPuDZbLbRaPTMA57H42k0Gjc74C9UWegIzGhEO6/UfXay\nYlys7zNZ4UIuKzPaX622MMYzs3Q6nUQiMZ/CWDA3NDQwsl4ruFwuj8drbW1luiAMEIvFOp3OCQ9Z\nB/Dz82tubia7jfnq9jgcjkAgaGlpYbogDBCJRAaDwQmrBw7g6+vb2tpqMHTtM8sNWLz7ulGl++RU\ndUlj54vZ4c/eMaC5udnxBbNJKpWa/wlN2QAAANyBxavOfgL2W2MjHk4JePNQ6db8aseXqg9YTBcA\nAAAAoAeVzd2rzhNjfTLDvccOlOlULvDQFNSYAQAAuBWLVWdfAVvEdY26KAQzAAAAd9NTVyQuAYIZ\nAACAe3LReIZgBgAA4M5cLptdo8EdAAAA6LPkIBGbzWa6FL0FNWYAAADAiUAwAwAAAE4EghkAAABw\nIhDMAAAAgBOBYAYAAACcCAQzAAAA4EQgmAEAAAAnAsEMAAAAOBHGxmN2Qvv37//1118///xzpgvC\ngFdffTU5Ofn+++9nuiAMyMrK2rFjh7+/P9MFcbSTJ09++eWX//d//8d0QRjw7rvvBgUFPfroo0wX\nhAETJ0788ssvo6KimC6Io128ePGtt9766aefmC6IbVBjBgAAAJwIdMl5k5+fX0JCAtOlYEZMTExg\nYCDTpWBGeno6h8NhuhQM8Pb2HjRoENOlYEZkZKRUKmW6FMxITU3l8/lMl4IBIpFoyJAhTJeiV6Ap\nGwAAAHAi0JQNAAAAOBH3b8omSfKLL76oqqrSaDTDhw+fNWtWL1948OBBDoczevRouxbPfo4dO/bF\nF1989913BEEghD7//PPm5uZXX321N6919W1ft25dXV1dSUlJaGgoh8N54oknwsLCev9yl9j8t99+\ne+7cubGxsXv37j127Ng777yDEFq4cOGaNWuEQmH3+fu8Uc7/bnTZ3ZGRkfHx8X0rsPNvrE3Xrl17\n9913w8PDqT+XL18uFosRQtu3b+dyuVOmTKGmu8GW9vnc3oUTvhXuH8znzp1DCK1atcpoNK5YsWL0\n6NGeczGVy+VeuXIlKSnJaDSWlJT4+PgwXSIHeeaZZxBCb7311tNPP+2ulxITExMLCwtjY2MLCgqa\nm5u1Wq1Wq2WxWBZT2b112d379u2z+RKVSiUQCOxfNGYMGzaMek9MVCrVPffcw1R57MTmuV0ulxcV\nFd13333dX+vkB4D7B7O3t3dxcfHly5cTEhJWrVqFENq5c2dQUFB6evoPP/yQnJxcWVlZUlLCZrPr\n6upeeOGFpqamtWvXCgQCrVY7YcKExsbGL774AiHE5XKXLl36wQcfLFiwQCqVrlix4uWXX3byk+Dw\n4cNPnTqVlJRUXFwcFxfX0NDQ2tr6ySefYBgmEomWLFly8OBBd912ky67Ozw8/OOPP9ZqtX5+fosX\nL75+/fpPP/1kMBiGDRuWkpLiQpufmJi4d+/eKVOmNDQ0jBgx4tq1awaDITExUalUmm9gfX29+Ubt\n27fPfI9rtVr3eDe6OHr0aG5url6vX7Fixe7du7t83i9cuMDlcqdOneoeG2vdvn37qO1NTEzk8/lx\ncXFus6Xdz+1dNmf//v3V1dUNDQ1paWndD4A5c+Y47VtBvPHGG45cn+P5+fmFh4cfOnRo06ZNtbW1\ngwYNKi4uFovFISEhBQUFgYGBbW1tKpXqscceq6ioQAjt2rVr8uTJs2fPPnPmTFhYGEEQCQkJM2fO\nPH78eFxcHJfLLS8vl0ql+fn548aNY3rjrCkvL+dyuVevXh0zZszu3btTU1OLiopqa2sHDx78yCOP\nFBQUGAwGjUbjlttOOXLkSHp6ekVFhfnuPn78+ODBg+fPn19ZWdnQ0HD58uWUlJS5c+dWV1cfOnTI\nhTbf29t727Zt1Ilm+PDhly5damtri4iIuHDhgvkGdtkovV5vvsf/+OMP93g30N+7WyAQXL9+XavV\nPv/88+Xl5Ww2u6WlpcvnXa1WL168eNeuXa67sVY0NjZu3bo1Ly/v8OHDtbW1AoGA2t7r16+z2eyD\nBw+6zZZ2P7fX1NSYb05AQIBQKPT29rZ4AGzYsMFp3wr3rzHX1NRERkYuXrxYrVavWrXqzJkzpn8Z\nDAbql+joaIQQn88nSZLatQihAQMGIIS8vb1/+OGHQ4cOVVRUGI3GYcOGrV27liTJkSNHMrE1ty0q\nKqq0tLSkpOTOO+9ECCkUirFjxyKE4uPjFQqFQCBw423vgtrdCoWipKQkPz8fIRQZGTlp0qRNmzbt\n3r178uTJrrX5bDZbIBCcOnVq8ODBCQkJ27ZtEwqF2dnZ+fn55hvYZaPQrUe727wbXVBllkgkJEma\nJpo+73FxcQght9nY7sybsvft20dtL8WdtrT7uX3AgAHmm9Nl/i4HgDO/Fe5/V/bZs2cPHDiAEOLx\neDExMTqdjiAIpVJpNBqvXbtGzYPjN9+HwMBAanpRURFCaMeOHTk5OU8//bS3t7fRaBSLxQaD4cSJ\nE8OHD2dia25bZmbmjh07AgICMAxDCAUEBBQXFyOEioqKAgICkFtvO6XL7g4ODk5LS3vmmWdSU1OD\ngoIKCgoefvjh11577ccff3S5zR84cODOnTuTkpI4HA6O47W1tf7+/l02sMtGoVv3uDu9G+aoGx5N\nv3f5vLPZbISQ22ysTdT2UtxpS7uf27tsDjVbTweAM78V7t+UHRUVtWfPnl27du3Zs4fL5d53331+\nfn6bN28+ffq0t7d3QkJCS0sLm82OiIgoKSkJCAhIS0vbuHHj2bNnuVxuVFRUZGTkjh07zp075+3t\nXVdXN3jw4La2ttbW1jvuuIPpLbOhvLxco9FkZmZ+8cUXs2bN8vHxOXPmzLx587Zt23bixAmSJGfO\nnHnjxg233HYK1bYZEhJivrtTU1O3bt16/Pjxjo6OnJycpqamLVu2nD9/PiEh4c4773StzdfpdPn5\n+bNnz0YI1dXVGQyGUaNGRUREmG9gZGSk+Uap1eoue9xt3g3zpmxqG69everj45OQkGDx897Y2Oi6\nG2tFY2Pj9evXTXFiejeoX7Kzs91mS7uf27lcrvnmJCQk/Pjjj6NHj965c2f3AyAiIsJp3wroYOS2\n/fLLLzKZbNSoUUwXhAGevO3I4ze/C496NzxnYz1nS21i8K1w/6Zseh06dKigoCAzM5PpgjDAk7cd\nefzmd+FR74bnbKznbKlNzL4VUGMGAAAAnAjUmAEAAAAnAsEMgLNTq9UYhgUGBgYEBAQHBz/++OPt\n7e20LHn+/Pn33nsvLYvauHHjsmXLaFkUAB4OghkA11BTU1NbW1tcXMzlcufPn9//BXZ0dOzfv//n\nn3/u/6IAADSCYAbAlQgEgg8//PDYsWOVlZUkSS5evDg4ODgxMfHZZ58lSfLxxx/fvHkzQkiv14eH\nh9fV1ZleaDQaV65cGRMTExsb++abbxqNxsWLFzc2Nj766KOmedLS0s6fP48QGjFixMKFCxFCGzdu\nfOihhxBCa9asiYqKGjBgwMqVK6kbU7pPobzxxhv333+/Xq931FsCgLtx/56/AHAzPB4vMTHx2rVr\nzc3NRUVFpaWlCKFBgwYtXLhw9uzZn3766YMPPnjgwIG0tDSZTGZ61a5du/bu3Xvx4kWE0B133DF8\n+PB169YdPnz422+/Nc0zadKk3NzcxMTE+vr6Y8eOIYSOHj06efLkgwcPbtmy5dy5c2w2e/bs2Zs3\nbw4KCuoyhVrCmjVr8vLyfv75ZxYLzi0A9BHUmAFwSRiGDR48+Pvvv9+/f/+qVatqamrUavXYsWMv\nXLjQ0tLy/fffd2nuzs3NfeSRR4RCoVAonDdvXm5ubvdlUsF89uzZCRMmYBhGxfOECRNyc3Obm5tn\nz549c+bM0tLSs2fPdp+CENq+ffubb745efJk866mAAC3C77VAuBiNBrN5cuX4+PjT548uWDBgsce\ne2zatGmHDx9GCLFYrOnTp2/evPnEiRPmVWGEkNFopLplRQhhGGbqN9hcVlZWfn7+kSNHRo0aRRDE\nli1bvL29ZTKZQCB48sknly9fjhDS6/VGo3HNmjVdpmzevDksLGznzp3jxo2bNWuWv7+/3d8IANwU\n1JgBcCUajebFF18cNWpUaGjogQMH7rzzzmXLlgUEBFy5ckWn0yGE5syZ889//nPGjBkcDsf8hWPG\njNm0aVNnZ6dKpdq0aVNOTk73hbPZ7LS0tK+++mr06NE5OTmrV6+ePHkyQmjcuHH//e9/29ratFrt\nxIkTd+zY0X0KQigtLS0xMfHRRx99+eWXHfFeAOCmIJgBcA2hoaEhISHR0dHt7e0bN25ECD3wwAMX\nLlxITU19/vnnFy1aRPV7T1V2H3nkkS4vnz59ek5OTnJycnJy8uTJk6dOnWpxLVQSh4eHZ2dnV1ZW\nTpo0CSGUkZHxyCOPpKenx8bGpqam3nvvvd2nmJbw6quv7t+//48//rDLuwCAB4CevwBwK3l5eQsW\nLMjLy2O6IACAPoIaMwDuY+vWrbNmzVq3bh3TBQEA9B3UmAEAAAAnAjVmAAAAwIlAMAMAAABOBIIZ\nAAAAcCIQzAAAAIATgWAGAAAAnAgEMwAAAOBEIJgBAAAAJwLBDAAAADgRCGYAAADAiUAwAwAAAE6E\nsfGYOzo6aFwahmEsFosa9s4NEARhcbhcV0QQBELInTbHbbaFw+FotVqmS0Ebd9o1CCEOh6PT6dym\ny2Q32ztsNpsahpyuBQqFQvM/GQvmzs5OGpdGEASPx2tra6NxmQwSCoX0vj8MEolEBoPBPTYHwzA+\nn+822yIUCtva2tzm1O9OnxqEkEAgaG9vJ0mS6YLQw832Dp/P7+jooPGrhrMEc5dy9BOGYdSJhsZl\nMojNZrvNtrBYLIIgcNxNLpqwWCy32TUIIYFAwHQRaONOnxqEEIZhAoHAbb42ueXeoetrU/e2Xjdp\nyiYIgsPh0LtMBgmFQrfZFverMatUKqYLQgPTtrjNqd+dPjUIIR6Pp1Kp3KnG7E57h8vlqlQq+zXO\nu0k9BgAAAHAPEMwAAACAE4FgBgAAAJwIBDMAAADgRCCYAQAAACfC2F3ZLkquUHafmBwkcnxJAAAA\nuCUI5t6yGMnm/4J4BgAA0H/QlN0rVlL5tuYBAAAArIMas23miVveqjlZ1nq5vrO5U0/gKMyLmxUm\nSQ8VsdylZysAAADMgmC2wZTKRY2d356vKahXjQgTjwgTS4VsrcFY0qRef77m63NoUWZQWrBYrlBC\ngzYAAID+gGC2hkpljZ786lzNgestswdLX80JF3II0wwjwyXzkmX7i5tW5VbclyR9YIiMucICAABw\nBxDMPaJSubRZ/dbh8gARe8OMOD8Bu/tsGIYmxvkOChC9vP8Gj/VXgzbUmwEAAPQNXBm1jErlk+Vt\nS3eXTIn3eXdClMVUNgmRcJZmhWwrqNeRJIIbwQAAAPQV1JgtoGL1f4VN35yrWZETlhYsNv9vl9qw\nKYNTgkS+fPah662T4nwcVlQAAABuhs5gfvvtt1988UUej0f9qdPp1q5dq1QqIyIi5s+fT+OK7IoK\n2q2X6n6+3PjB5OgY3782p6fWaWo69ao5g/2/PKvgENjoSAncCAYAAKAP6GnKbm9vX7Zs2dmzZ80n\nnjp1Kjg4eOXKlQqFoqKigpYV2RuVr/+9WLf9SuOHU2JsprIJNcOoCMnswf6b5HX/OVNj76ICAABw\nS/TUmEUi0fvvv//666+bTywqKkpKSkIIRUVFFRUVhYWFIYTOnz/f3NyMYVhGRgYtq6bgOI5hGJfL\n7c9C8qvbORzOFnnNb1eb1t41IETCQwgNvbUd24qMSG5+dft9Q4Kyo/0e/vHPuxNlHI629y83RxBE\nP7fFeRAE0f9d4zzcadcghLhcrtFoZLoU9HCzXYNhGIfDgb3jnKi9Q5IkLUvT6/VdptATzBiGEQSB\n39rJhkql8vPzQwhJpdKOjg5q4tGjR4uKigiCyM7OpmXVpgJgGGZqRe+DvMpWDoez/c/aLZfqvpgx\nKNyHjxBKDfW6rYVkRvPyKltDfTkPpYZ8eqrq85mD+lYkKsz68EInRB0YuLt0wOJO24IQcqdzpTt9\naig8Hs+dgtmd9g5V2aBr72g0mi5T7Hjzl0AgaGxsjImJaWxs9Pf3pyYuXbqU+qWhoYHGdREE4eXl\n1dra2reXUy3YR8vaPj9R+cHkaF+2QalUJgeJ+rBApVKJELp7gNcvlxRHChXUcm53IUKh0PRVxtWJ\nRCKDwdDZ2cl0QWiAYRifz1epVEwXhAYYhvn5+bW1tbnNqd+dPjUIIWrv0FUnY5yb7R1fX9/29naD\nwUDXAkWiW2LCjt/94+LiSktLEUJlZWVxcXH2W1E/Ual8sabj38cr3xgXQV1X7vN9W9QLOTg2O8n/\nu/w6GssJAADAE9glmAsLC9etW5eZmVlVVbV69WqZTEZdYHZCVCqXtajfOFT2wqjQIQFC1O/uQaiX\nT03wq1Vq86qV8EwzAACA3qP5cSnql/j4+Pj4eGTWcO3Mmjv1r+wvnTdUlh0hQTR12pUcJJIrlPcN\n8v+poD41GB6aAgAA0FvucxtLH8gVSq2BfO1gaWaYZGaiFNHdleaUOJ+CelVFa9cL+wAAAEBPPDeY\n5Qql0YhWH6sUcfCnM4IQ3amcHCQScoiJsT7brzRCazYAAIBe8tBgppJyk7yupFn9Wk4EgWN26qXr\n7gS//cXNnTo3ubUSAACAvXliMFOpfLys7dcrDe+MixRyCDulcnKQKMyLG+vHz73RYo/lAwAAcD+e\nGMwIodJm9ZoTlSvGhAVLOPZe1+Q4n91FzdCaDQAAoDc8LpjlCmW71vD6obKHhspSg8XIzmMnJweJ\nxkR6lbVoylvgFjAAAAC2eVYwyxVK0mh8L7c80V9wrx1uw7aIy8Jzorz2X2+294oAAAC4AQ8KZqox\n+f8u1DaqdUuzQpBDUplay9ho70MlLfnV0JoNAADABk8JZiqV/yhv++1a05tjI7ks3JGDJQ8OEBiM\nxsv17tDHMgAAALvylGBGCCnatR8cr/zn6LBAkd1v+OoiJVicE+l1GO7NBgAAYItHBLNcodSSxrcO\nl9090C8j1O43fFk0Ntr7yI2WC1XtDl4vAAAA1+L+wUw1Yn92qlrCYz00VIaYSGWEULxUwCHwgjpo\nzQYAAGCNmwczlcqHSlpOVbS9nB2GY/bq4cum5CDR6AjJ8bI+jhgNAHAhcgUMKwf6js7RpW4LQRC0\nL637MnEcr2jVrD1V/c74SF8Bh/b13pbsKJ93cssu1aqGBoutz4lhGIPlpBeGYTiOu8fmYBjmNrsG\nwzCEEEEQRqOR6bLQwxl2TX71X9eqcBxHCF2q/auFzOZH3iKCIKjd5AacYe/Qi8bNIcmufTYzFsxs\nNpvGpeE4jmFYl2VeqGozIPytw2VzkwNTQ70RQikhEhpXeruSQ7z0pLG4WZMe4Wt9ThzH6X1/GGRx\n17go6uTiHttCYbEYOwPQjvFPzYWqtp7ez4K6zts9+WAYxmKx3OZrE+N7h17U3qG+fvWfXq/vMoWx\nj6VaraZxaQRB8Hg882VS7UifnKzy5hGzEn20Wm1ykIjeld6uRD9OVpgk93rjjAQf63MSBMFsUWnE\nYrEMBoN7bA5VY3abbRGJRBqNxm1O/cx+amw2XJ++0XBb19GEQqFGo+lel3JR7nROQwgJBAKNRmMw\nGOy0fPf5vmyO+pAcLWs7Wd765d3xDF5a7iIzTLwhr4bpUgAA6GRK5QaVbseVxrxqZXW7lo2jAf6C\nEWGS8bE+HByjZnOSExFwcm5781etUvvxicqXssN8+E705SM1WFTVpt1f1MR0QQAA9KBSmSSN312o\nffSXwkaV7sFk2Wd3xr4/KTozTLKnqHnetiuHSlrMZwbAOicKLbrIFUoDaVx1tGLaAN80+w9TcVvS\nQyUpQaJTle0T4mxcZgYAOD8qaDt15MrDZe1q/X/uigs1G7Auyoc3Ld73XLXyoxOVx8valo8O5bFw\nqDcDm9ytxmzqEBsZ0SMpjD21bEVmmORURRvTpQAA0EOtJ1/dXypkEZ9Mjw21NIzssGDR13fH60hy\nyf+Km1Q6BPVmYItbBTN1uF9QKH+71vTKmDAW7tAOsXspI1SUr+g4WwnZDIBrkyuURiN690iFiEu8\nmhNKXUi2SMDB3xwbkRwoWrq7pK5DiyCbgVVuFcwIoTaN4V9HK5ZkBju+Q+xemhDrGyLhyGs6mC4I\nAKDvqGTdJK9TtGuoagA1PTlIZP5jmh/HsEXDg0dHer2450Zzpx5BNoOeuU8wn69oMRrRB8crhoWI\n7oj2Rs7XiG0yLER8thI6zQbAtf1Zp/r5csObYyN5LBz9Hcld5ukycUFaYHqo+KV9JR1aA4JsBj1w\nn2BGCO242ljZqn0m03FjLfdNeojoXBV8IAFwVXKFUmsgPzhe8Y9hgcESDrJ1wjGP56czgiK8eW8e\nLtOTJIJstorq2dT0w3RxHMd9grmwvuPbvNpXc8J4jh1ruQ8GB4rqOrT74KEpAFzWd/l1ASLO1Dhf\n1OtqADUbjmHLR4fpDMaPTlbZt4guq6ck9pyEdpNgNhrR2weK5qcExPrymS6LbcNCxMmBorNQaQbA\nBckVyqo27c4rjUsyQzDs9hrnqJnZOPbm2IhLtaqtl+oQVJpv1Zt3g8F3zDGrdpPnmDEM/Wtqgghp\nkXM3YpukhYjyYGxmAFzT56er7x7oF2Lp4SibkoNEcoVSwmO9Mz7yuf9dD/fijQiX2PXh5p6yxNlO\nleblJEnjtcbOP+tUdUqt3ogkHCJOyh8cIJRwCfOZHbwJDvtC4CY1ZoRQiBfvdr+9Mig1SJRf00G6\nSzfFAHgIuUIpr+kobFQ9MKTv3SRQrwr34r4yJuz945U3mtXIPid96w2/TtUsbCqJWk/+cLFu3s/X\n3j5cXtzYKeQQUgGrQ2fYWlA/Z+uVNw+VXa1XdX+Vw0rYrrVX/9jm3KTGTHGVVEYI3TVQ+tK+Gz8X\n1M8aLGO6LACA2/BNXs2DyQF8dr/uZaHqzcNCxPOHylYcKP10eqwPn0Vjvbn3icVI1dNiGRBCR0tb\nPztdHeXDe3FU6NBAUZdBLxtVut1Fza/sLx0aKFyUGewnYCPH9kCu0ZPP77q+cmzkQyPs23WjWwWz\nC8EwlBYsOl+thGAGwFXIFcpTFW2NHbppA2g4L1PZfE+itLJd+/rBsn9PieIQ9HTY2SWVmzr1Zyvb\nL9Yqq9q0bWoDQkgqYsf68sZF+8T48kwvYSqbqdJq9OQnf1TlKZQvjAzNCLU8fLWfgD0vWXbPQL9v\n82oXbC9anBk8LtobOaTwfw1X+EeVv4A9Jd7G8ID9R08w63S6tWvXKpXKiIiI+fPnUxMbGhqef/55\nmUyGEFq6dGlISAgt6+pJWph3U5Mr3eecEizaV9TMdCkAALfh+/y6B5NlbJzOAesWpge9drB01ZGK\nlTnhOI71J2a6RPIFhfKngoYLCmVyoHBIoDAr3IvPwrgsok6pvVSrenFvSagXd06Sf1a4BDF61bZB\npXv9QKk3n/XV3fGmq8g9EXGIZzKDx0R6vXe0PF+hXDIihN2/N62XhfxfYZO8puM/d8biWI9dvNEF\no2U01mPHjlVWVs6dO/e9996bN29eWFgYQujy5cuXLl2aPXu2xZc0NDT0f70mBEF4eXm5VjAfut78\n0E9Xtz84KD206wjqQqGwo8NNugYTiUQGg6Gzs5PpgtAAwzA+n69SqWzP6vQwDPPz82tsbHSb8Zjt\n/amRK5TnqpUfnqj8v3vjh4V0/cz2Z7EIoU4d+cKekng//rMjQqjT/tikiObm5t6Px9wlki/Xqb46\np6hRamcmSifH+VpMOy1pPFDcvEleFyLmLB0ZGiz+6142eyScxb1DlbmyTfvS3pLREZInhgXhZt2a\ndi9Gl21s0xjeyS1T641vjo0wjSJIe+GplV6pV/1zX+kHkyLjpYLkIJGvr29rayuN4zFLpVLzP+kJ\n5g0bNiQlJWVkZGzZskUmk40dOxYhlJubm5eXx2azk5KS7rjjDmrOX375paqqCsfxxx57rP/rNcEw\njMvlutxA3In/Pv786IgFGWFdprPZbJ1Ox0iRaMdms41Go16vZ7og9GCxWG6zLXw+3z2+MFHs/am5\nUNX29PbL42L87h0ckEJfMFNLRgg1d+oW77iSGeb1zMgIhBCXyx3kz+vl+ZlaAqVRpfv8j/KTZS2P\npIXMTJJxCBt3+Kp1hv/LU/xSUPvsyPCpCf7URHo3EFnaO1SZbzSpluy8Oic58MGUYNO/bK7dtL0G\n0vjx8bI/ylvXTI2PNHtWlq7yUytq6NA+/tOf/8gImT5QRi2cx+Nptdref22yTqfTSSS3FJieu7JV\nKpWfnx9CSCqVmr4W8fn8pKSkuXPnHjx4UC6X07IiN5MaLCIYibcAACAASURBVDkPfXMC4Ao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ju1aNGiiRMnNjc3r169evPmzQsXLrQ4m0AgaGxsjImJaWxs9Pf3tzIxOzt78ODBGIap1er+bcst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\n0AAAAABJRU5ErkJggg==\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%R -w 9 -h 9 -u in\n",
    "prophet_plot_components(m, forecast);"
   ]
  }
 ],
 "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": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
