diff --git a/Prognosis.ipynb b/Prognosis.ipynb index b7ee176..f76fbb3 100644 --- a/Prognosis.ipynb +++ b/Prognosis.ipynb @@ -4125,29 +4125,35 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 39, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "RUL is 98\n", + "RUL is 7\n", "The root at degree 0 is: []\n", - "Pred RUL at degree 1 d is: [ 429.63970378]\n", - "Error at degree 1 d is: [ 331.63970378]\n", - "Score at degree 1 d is: [ 2.52888647e+14]\n", - "The root at degree 1 is: [ 478.63970378]\n", - "The root at degree 2 is: []\n", - "Pred RUL at degree 3 d is: [ 29.66470426]\n", - "Error at degree 3 d is: [-68.33529574]\n", - "Score at degree 3 d is: [ 190.82072474]\n", - "The root at degree 3 is: [ 78.66470426]\n", - "Pred RUL at degree 4 d is: 93.0468269279\n", - "Error at degree 4 d is: -4.95317307208\n", - "Score at degree 4 d is: 0.463767092758\n", - "The root at degree 4 is: [ 142.04682693 90.82486389]\n", - "The root at degree 5 is: []\n" + "Pred RUL at degree 1 d is: [ 91.49700514]\n", + "Error at degree 1 d is: [ 84.49700514]\n", + "Score at degree 1 d is: [ 4672.67282861]\n", + "The root at degree 1 is: [ 294.49700514]\n", + "Pred RUL at degree 2 d is: [ 13.76180455]\n", + "Error at degree 2 d is: [ 6.76180455]\n", + "Score at degree 2 d is: [ 0.9663528]\n", + "The root at degree 2 is: [ 216.76180455]\n", + "Pred RUL at degree 3 d is: [ 5.40686929]\n", + "Error at degree 3 d is: [-1.59313071]\n", + "Score at degree 3 d is: [ 0.13037396]\n", + "The root at degree 3 is: [ 208.40686929]\n", + "Pred RUL at degree 4 d is: [ 3.90137592]\n", + "Error at degree 4 d is: [-3.09862408]\n", + "Score at degree 4 d is: [ 0.26916055]\n", + "The root at degree 4 is: [ 206.90137592]\n", + "Pred RUL at degree 5 d is: [ 2.69438877]\n", + "Error at degree 5 d is: [-4.30561123]\n", + "Score at degree 5 d is: [ 0.3926395]\n", + "The root at degree 5 is: [ 205.69438877]\n" ] }, { @@ -4156,15 +4162,15 @@ "Text(0.5,1,'Health Indicator')" ] }, - "execution_count": 37, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAgwAAAFSCAYAAACe6ocVAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngkFERERSUsEgIiIiKalgEBERkZT+P0qZAjmjwGtuAAAAAElFTkSuQmCC\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAfoAAAFSCAYAAAAaWh3KAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4wLCBo\ndHRwOi8vbWF0cGxvdGxpYi5vcmcvpW3flQAAIABJREFUeJzsnXd4VFXexz/TMpn03kiBBHLpvVqw\nYe/d17U37Gtb21pYde1rWXVt64p9FVdxV0VFFJAeILQANxXSe08mM5ny/nGnzwQykEjE83kezcy5\n59575ibM9/zO+RWV3W5HIBAIBALB4Yn6UA9AIBAIBALB4CGEXiAQCASCwxgh9AKBQCAQHMYIoRcI\nBAKB4DBGCL1AIBAIBIcxQugFAoFAIDiMEUIvEPQTSZIWSJJklyTpqn30Wejoc+yvNJajfNoln/fL\nJUmyHMR9jnXcZ+GBXqOP6z7k+ZwkSRrueP/PgbxPgPuqJEnKHcx7CARDDSH0AsFhgiRJDwJbDvU4\nDpAG4HJg0IRekqQoYA1w72DdQyAYimgP9QAEAsGAcRKgO9SDOBBkWe4CPhzk28QBs4GCQb6PQDCk\nEBa9QCAQCASHMcKiFwh+BSRJOhJ4CJgD6IHdwGuyLP/Tp18sytLyWcAIQAXsAT4BnpRlOeB+uyRJ\ndp/X78myfJVH2xTgaeBIwAIsB+6RZbn4AD7LVcC7wNHABcBFKNayDDwny/KHPv1PBB4GpgIdwL8c\nY/DsMxwoA96RZfk6j/ZZwIOOcYegPLcXZVn+xKPPfp+Zx5gBrpUk6VrgOFmWl0uSpAKuBm4CxjvG\nttnxWb4O8LkvddxvLLAdmCnLsq3/T1Ag+HURQi8QBE+EJEkJfRzT+zZIknQB8G8UkXoS6EERpbcl\nSZoky/Jtjn464GdgFPA6sAtFQK8A/oIiQE/2cd/LgT8DucCVQInHMTXwC7AIuBOYAswHpkiSlCvL\nsql/H9uPD4AW4FlAA9wBfCBJUqUsy8sdn+lc4HMU4X0M5TvnJiB6fxeXJOk0YDHQBLwC1AN/AD6W\nJClWluV/BPHMVjo++4sok5x3HH0B3gSuB9ahPEM9yjP8nyRJd8uy/ILP0N5CeZZvAmoh8oKhjhB6\ngSB4XnH8t18kSQpHEYQ8YK4sy72OQ393eJjfKknSR7IsrwNOByYBN8qy/KbHNd4E6oBL6EPoZVn+\nUJKk64BRvhY1ioW7QJbl5z2uGYpixc5BEb4DoQmY7VxlkCRpHbDKcV2npfwyUANMl2W5xdHvX8A2\nILKvCzvO/QfQDUyVZbnG0f4OsAl4VJKkt+jnM5NluVSSpMUoQl/ifEaSJB2DIvJfA+fIsmx1tL8M\nrAeekSTpS1mWyzyGly/L8jUH+MwEgl8dsUcvEATPc8CJffz3g0/fE1EszEVAtCRJCc7/gE8dfc4F\nkGV5MRCPsrTtSSLQCkQcxJjf93m/1vEz7SCu+anPVsJGx88Ux8+pQAbwoVPkAWRZrg0wHl+mAFnA\nQqfIO841A+cARwDWAXhmFzp+Pu4Uecd9uoGnUIyh83zO+WY/1xQIhhTCohcIgmenLMs/BjogSdJl\nPk3OmO2/Of4LRJbH617gRkmS5gI5jv+iHMf2HthwsaOEr3lidPwMOcBrgmIxu5Bl2eQI49c4mrId\nP4sCnLs/z3fnuYW+B2RZLvFpOphn5rzPzn2McYRPe+1+rikQDCmE0AsEg4tz1exBlOX7QNQDSJKU\nDqxGsYh/An5EWWpe7Xh9oCtwNlmW7fvvFvx193Pcec/QAMc0Ado8cX439eyr0wA8s30dd47B14fB\n6ttRIBjKCKEXCAYX595ut+8qgCRJySie684+C4BM4ARZln/y6KcBEoDmQR/twOK05EcHODZyP+fu\ncfz0y2InSdKFKHvzDwOPcnDPzLk6MBbY4HNsrONn+X6uIRAMacQevUAwuPwAdAJ3SZIU43PsGZS9\n++mO905P/h0+/eajOK7tb2JuZQj9m5ZleStKyN1VkiQNc7Y7wuH258y2EagCLpMkKc7jXB3wAErU\nQi3BPTOnJe75jP7j+PmwY3LgvE8YcJ/jnK/2M1aBYEgjLHqBYBCRZblFkqTbUcK5tkmS9DbKfvnp\nwBnAEtxi8z/gbOA7h3e5HZiH4qxnZP8haXWASpKkBcAvsiwvG+CPcyDMB74H8iRJehVlP33+/k5y\nxL7fDHwBbHZ42LehxLBPAf4gy3KvJEnBPLNGFOE+XpKk64HvZVn+yXHetcAvkiQtwh1eNxq4T5bl\nPQf7EASCQ8mQmf0LBIcrsiy/i+J9vwu4G3gBxcHrAeB8p+e6LMvvAH8EDMDzwCMoHuUXojjyRUiS\nNGcft3oGxbJ9EMUaPeTIsrwCmIuSWOZ+lHEtQVly39+5/wWORVkVuA8ltNAOnCrL8seOPv1+ZrIs\nGx3XCUcJjzzecavrUSYfesc97kdZTThdluVnD+bzCwRDAZXdPhg+OgKBQCAQCIYCwqIXCAQCgeAw\nRgi9QCAQCASHMULoBQKBQCA4jBFCLxAIBALBYcxvNrxOkiQ9MAOlYIbIVCUQCASCwx0NkArkBVN1\n8jcr9Cgi/8uhHoRAIBAIBL8yR6NUiuwXv2WhrwH46KOPSElJ2V9fgUAgEAh+09TW1vKHP/wBHPrX\nX37LQm8FSElJIT09/VCPRSAQCASCX4ugtquFM55AIBAIBIcxQugFAoFAIDiMEUIvEAgEAsFhjBB6\ngUAgEAgOY4TQCwQCgUBwGCOEXiAQCASCwxgh9AKBQCAQHMYIoRcMKtUNnVittkM9DIFAIPjdIoRe\nMGh88v1u5j+9jEffXnuohyIQCAS/W4TQCwaNDTtrAdha1EiXsfcQj0YgEAh+nwihFwwaRpM7S2Nz\ne88hHIlAIBD8fhFCLxg0eswW1+uWDiH0AoFAcCgQQi8YNHpMbqFvbu936WQXdrsdU29QtRsEAoFA\n4IMQesGgYLfbMZrdIt0S5NK9xWrjrpdXctkjS9he3DjQwxtQLFYbry7awgsfb/Ka3AgEAsFQQAi9\nYFDotdiw2eyu98Hu0f+ypYriilZ6zFaeei9voIc3oOTtrOP7dXv5eVMlv2ypOtTDEQgEAi+E0AsG\nBaOPZdsS5NJ9TWOX63VHt3lAxjRYNLUZXa8b24QvgkAgGFoIoRcMCj1m7731YC3631I4nudYf0vj\nFggEvw+E0AsGBd+96mCFvvM3JJidQugFAsEQRgi9YFAwmn2W7oMMr/MUzHCDbkDGNFh4WfQ9QugF\nAsHQQgj9AOPpgPZ7xtei7+6xeMXV74/WTvee/pAX+h5h0QsEgqGLEPoDwNRrZe32Gr+QsQ+W7OLC\nB7/hi5+LD9HIhg6eWfGcBOOQ1+Th1KYakBENHsKiFwgEQxkh9AfAO1/t4MmFG/jzG2tcFnx3Ty//\n+akIc6+Vz38qxG7/fVv2gaz3/u7T22x2r0mUyTy0k+YIZzyBQDCUEUJ/ACxZuweAiroO2roUK3V7\ncSNWh+h3dPdS29R9SMaWt7OWu15awffr9hyS+zsJlDimv/v0bZ0m17OEwJOGoUSX0eLxWgi9QCAY\nWgihP0icy9H5hQ1e7YXlLYdiOHz43W6KKlp544ttdB7C+PNAS/f9tegbPeLSQdkqGcorJF5e9z2W\nIT1WgUDw+0MI/UHiFK98ud6rvaii9VAMh8ZWRSQtVjtrttcckjFAYCu8v3v0TT5JZ+x2hmzOe7vd\n7rUvb7PZ/XIICAQCwaFEe6gH8Funqc1IbVMX1R6Z3CCwRd/d08uGglo2y/WYeq1ce+Z4kuLCBmws\nVpvdy4r/Jb+Kk2ZlDdj1g8E3Mx7036JvajX6tZnMVkJDht6fa4/Z6hdp0WXsxaAfemMVCAS/T4L+\nNpIk6SzgI1mWI/fT7wjgr8AUoBv4EfiTLMt1BzLQoUpzW4/fsj1ASVUbVqsNjUZZNDH3WvnjC8u9\n9u7jow3ccM6EARtLZ7cZT83ZVtxAS3sPsVGhA3aP/hLIga6/hW2aAvTrMVuJPuhRDTyB9uS7enpJ\nwHAIRiMQCAT+BLV07xDvD9lPxJMkSWOAZUAH8H/APcCRwPeSJA3toOj9YLHavN43tfd4LdsnRIcy\ns2QDd375FLU/rHS17ypr9nPQq6zrGNCxtXd578nb7LBqa/WA3qO/+CbMAWjp6N/SfWMAi36oOuQF\nCqcTDnkCgWAo0S+LXpIkPfBH4HGgCwjZzym3AjXA+bIs9zquUQRsAE4Evj3QAR9qfPdfm9p6KK5U\n9uMNei2nTUvl9CdeIKy3h+7rr4S9paDRsHNPs9+16lsG1jPfV+hBqQJ35tHZA3qf/uDpda9WKZMO\n3733vgjUb6iG2AW06IXQCwSCIUR/LfpTgQeAPwGv9KN/AfA3p8g7kB0/R/R/eEMP37Cx8roOWh2W\n6vDUKKY2FBLWqwhVWFU5fPEFALsDCr1xQDPptXf5W8y79jRT3/zrh/r1eHjdJ8Qqfggd3WZ6LfsX\n7Ka235BFL4ReIBAMcfq7R58HjJBluVWSpAX76yzL8j8CNJ/p+Lm7n/d0IUnSpgDN+1tVGBR8BcdT\nRNOTIshYv9j7hOeew5qQyLR/vcLJTdVodFp2zzuXz7XZ9FpstHaaiBugPXRPiz4uSk+zw8t95ZYq\nLjh+1AFf12azs3hFCRqNirOOzkal2n+uOs+l+zntZYz76l8sH3MMze0nkrwPB0S73R7Qoh+qnuyB\n9+iH5qSkPxRXtPLeNzuZPSGV04/8Tc/JBQKBg34JvSzLVQdzE0mSMoDngY3ATwdzrUPNvgQnPSmC\nkJ99Pl5eHprjj+Msj6ZZu1YxKXMiL578R+qbuwdM6Ns63UJ/ypwRfPy9Mqf6Jf/ghH755kre/boA\ngPBQHfNmZgbsZzRZWLJmD1JWrGvlQ6tRce6/nye+vIhZJRuo+nQs3HRln/fq6rEEfMamAHH5Q4HD\nzaK/86UVAGwpauCEGRlDMtJBIBAEx6D/K3aI/DKUbYJLZFkOeq1aluVpAa47HCg76AEGyb72iodr\nTLBlCwBWlRqN3dZn38nl21jw5WNUXjaH0cPjBmRsnhb92BFxZKdFU1rdRml1GxV1HWQk7zNQok/W\n7XDH43+zurRPof/bR5tYX1CLPkRDiFbZFYq3GokvLwJAjZ20O+fD1NEwa1bAa9Q1dQVsH6yle7vd\nTkOLkcRYQ79WKnzpPIyc8Xx9Rrp7LELoBYLDgEFNmCNJ0nhgDRAFnCjLcslg3u9gWFW+isdXPM7X\nhV9T1V7VZ3azfQnOiJ0bXK+XTDyF6ugUADpik3h13k3ceNVrVD7/D0wJSUr/xr3k/vFqePppeP99\nsB6c1drmsUcfHaHn6CnDXO/XrCuCTz+Fm2+GCy+E7dv7dc1ei40tHuGDxZVtAXMEbNhZy/qCWkCZ\nDHV0K2I3psG7wI/GZIIzz4TS0oD3K61qc71OTQh3vR6spfs3vtjGtX9dyquLth7Q+Z7pb11tv9HC\nNut8EiyZh2iSIoFAEByDNl2XJGkWsARoB46XZblosO41ECSEJdDV28UrG14hvyYfgCmpU5iaMpUp\nqVOYkjKFnLgcLyczT7QaNdHr3OF0ednT+WTOxdw+ys677fFUdVjRalQk3n46VZMmkXz6iYSbu0ne\nsh62rFdO2rgR/v53SipbUatVjEhzR473mCz8b1Upe2s6MJoszBibzClzhnuNwdOijwoP4ejJw3jv\nm51kNezh+KtvhJZad+f8fCgoAL1+n89l154mv+Q3S9bsITcz1vXe1GvlrS8DTxxG18iu1536MCJM\n3dDQAKefDmvWQGysV//SarfQjx0RR40jEVFfE6zapi7e/3YXYaFabjp/Ehp1cFa5M/xwZX4lt144\nKWirvr9L9/XN3USGhwzpRDq+mRSHajZCgUAQHIPyreNYVl8C1AEnyLJ8aIK5g2B0wmienvc0oCzn\nVnVUkV+TT35tPp/s+IR7l95Ls7GZrPDRdITGE2nNJNKWRaQtgxB7FOlxoag/+B4Amy6EgvRxmHR6\nfopPpapK+QLNSY9Br9MQO3Mqz5zxJx5Z/ARam8eX6SuvUJMxijtqlaXxF+84hpEZMYBSSOf9b3e5\nuubtqmXSqEQvq9dX6LUaNed17uaSfy/A0Ovj4FZSAq++CnffHfB59FqUbYeNu+r9jq3cUsW1Z40j\nIkzxh1yyZg91fXj251S6fS//cu4jPPjza8TWVcDu3XDyyfDNN5CY6OrjadGPHRHPsrwKIPCWSUFp\nEw+9scaV22D6mGRmj08NOI5A2DwyCfaYrXT1WIgwBJfmoT9Cv35HDU+8u4GYSD1vPzCP0CEo9i3t\nPewsa/JqG6ohjQKBIDgG5BtHkqQcIFGW5XWOppdRlutvATIlSfLc1N0ry/KhS8LeD1QqFelR6aRH\npXOmdKarvdnYzBs/LuHjmuW0a8qo0q2gQ1OBxq4ntzOeOybXMq4ecrMm06mzoEPP+h1uK3p8djwA\nMZF6CkZO484//I2pxiquHqlRlu+BpAfvZtqZ97NpxDTyC+tdQl/V0Ok1RrsdSqpavYW+U1m6Dw/V\notWooaCAK95bgMYh8k1ZucT/6Xa49VblhMcfhyuu8BJaUITq9heW09Zp8vqynz0+hXU7ajH3Wtla\n1MiRk9IAKKoIXMBHZbeRtVeZnHToI9idKvHOjc9wzyu3QnMz5OXBkUfCDz/A8OHYbHbKHBZ9bKSe\nlHi3d36PyQKPPgq1tfCnP1EdneIl8gB7a9qDEnqjyeKVSbCx1TgwQu+zdO+0lFs7TBRWtDBxZKLf\nOf3hvytLWLW1mqvOGMvYEfEHdI2+WLejBt/dKrF0LxAcHgyUafEwcCWgcmS+Ow3QAB8H6PsnFA/8\n3xxxhjhGR8xkhDnC1WbHTo+qkSt3vUxdO6zOhLdmN5HffQ1aexjhtjTCbWlE2IbRFHocuxs1ZMdm\nkxgbxh7LcCo12Vz5xOmom5rg7bfRWHp56Ksnefmk26iakeG6T6Dc8RV13uLvtOijIvTQ3Q0XXYTG\npIj8+uwZvHXRA7x549lo166Fjz6Ctja44QZYtAi07j+F/MJ6v9j7kRkxzBirCD14560PNDaAYS3V\nGIzKGIuGSaBSUahPhKVL4dRTob4eiorgjjtg8WJqm7pcVe+yh0V7OYKlrV4Kzz+mvHnvPVouuBZd\nzFFY9O7JgG+9gf3R6SPSja1GhqdGBXcND1HXatRYrDY/8ffM9Of0XQiWtk4T7/x3BzY7vPnldl6+\n69gDuk5fbCtu9Gsz9/btTCoQCH47BC30siwvABb4tF0FXOV43Qv8ptPc7gtfpzAVKjLb7Fy2pACV\nHUhLg0W7uf2lleysLaNLXU2nuopuTTVLa/7NG7sep6KtgjAS0BlSCLel8bfVpUy++xyyW0rJ/GIZ\nOpuVu797iX/kZsMlU5X7BvANqKx3p9A19VpdYxtm6YALLoCdOwFoTM3iudPvxmRWky/XM+Opp+DL\nL5XJwOLFrJ16EpGff8L43GQgcGa6aaOTiInQk9JaQ5jZSFubO9tedx9x45LH/nzFiHGua9unTEG1\ndi1MnapMNlauBLudEo9l++xh0ehDNK73Wb98576wycS4j/7Bv/Tv8dmsC/ly2tmgUlHts+qxPzp8\nyvgGSr27P7odoh4aosGg19LSYfKLo2/wuO6Blg7etafZtfpQWtVGXXP3PvMRBEt3gMma2KMXCA4P\nht5m4RAnkPV60valqJzrntdeC1ot6clRlNUkYLAmkGCdiJQay/OXzwXAbDXzxL+/Zcm2PLrU1Wyo\n3MS3ZYspO6KU6jEq0jrsjGiB6ObHaF7ZRnZsNsVdHZhUoYTYo1E5Sg1Uelj07Y4Y+mmlG7n3h79D\nd7tyIDSUilfewbRG6fvzpkpmXD6d/L/8nQn3zUdrszJn+8+seOhx+OxVQCnU44mUFcuZR2XT/vX3\nvPHuLWjsNsyLDPB/F8M//+n1TLQaFRar8iykmkJXe+PoScpn73XshWdnw5QpsHw5tLRAfb1r2R4g\nZ1iMy6IP6TWRvfkXAHo1WjR2G2qbjQhTF9esXEh3VCzf5x5DVUOQFr2v0AfIyLc/nMv04QadW+g9\nLHq73R60RW+z2alp6iItIdzlHLirzDuz4vodNZw1Nyfo8fZFbwDrXSzdCwSHB0Log8TXQSmnrphz\nNv1XeaNWw3XXAUryHE/G57j3VEM0IUxMHUf+ZuVL/BZpKsdOy6Csuo07nl3CI5/Pp0XfTnFsI0VV\ne/mqfjsr2rfRHF6FTWUmUpVCSG8CBa2JJK1cTWZ0JhpzHLEtG7n722cwmB1iEhcHCxcy7pRjCc//\nni5jL+t31FBa1caC2gRmn3Y39339HGrsTPjpC7C/AiqV17L8q/ccR5ZjOTv03ddduQFCTEZYuBDO\nOQejSfETMOg1REfoXcV7cj2Evmv8FChSJh9NbY698DFjFKEH2LmTkip34iBl6V6x6Kfs3eJyJlyV\neyQbz76GWYv/ydzdivhfmPcFS0cexYQty+n+MZSwecf151fpJ7pNrf3Lxe/Ebre7RN0p9KA4Mpp7\nrYToNLR1mgnpbOf8/G+oiE+n87iR+73u3z/LZ1leBcdPz+DO/1NWdHb5pFBeO8BCH0jUhUUvEBwe\nCKEPEs8wryNjLVz/5l8JtTji1y+7DDIVv8Nhid5CP2Fkgtf75Fj3sutnywoJ0WkwW2zYNAZ2ZZ3O\nZWs+YR7Q/IOauHc/5eZnf6KipQO7xsiw4Wby98oYVY3UtjVT0FDA7qpC6mPzib/PRnw3ZKqiyZg4\nh8yQn8nYWEzECCuVu+2EWuN56r112OywJvcICtLHMqGygLimGtiwAWbN8hL6uGiH+NbVEbJsqf8D\n+eEHjAmKw6JBryU+2kBtUzdaSy9ZTeVKn1GjCE9L9BD6HrJSomDsWPd1du2itD7bdZ3kuDDMjrz4\nRxatcXVbPeoI1pujWXnqXSS31iLVFpFct5dn/30/Um0R9m+fVyYPRx+9j9+igp9FH+TSvanX6lq9\nCA/VeYXOdfX0EqLT0Lynmr8uepichjJsqPj4+DnAuH1ec8XmSgDWbKvmjkum0GuxUVTR6tVvZ2kT\nbZ0moiP2HR7ZX8wBahAIi14gODwQQh8kPWYrOouZczZ9xWVb/4u6y7FPPnMmvP66q98wD4terVb5\neUnnpLtj5CvqOnnqvTxS4xXL+LuJJ3Px+kXorBaiFn0MLz+HyTHBiAyJYsawTKpLlPOvHDmb6WOS\nqTnrIlL/twmrCnaPz6H9P29Tbqqnor2CstYyylQl7DDspkfVwk/mdkIiogi1x3HpuRaOLIO0Dhj2\nxUOkxd1FYUs5ZlUYYZpotxf6xx+jciT0+X78iZxYsAy13QZLl9J93qkAGPQ64h0Tg6ymve7QwalT\niY9212ffUFDLpt11nJWcSbKjzbR1O60RSoKfEWlRqNUq9M8+zbOffEh2vZIA0agLJT9rsnKCSsUX\n08/lga+fBUCqVdI0qGw2JWRw3TplhWUf+Fr0wS7dey7ROy36kF4TubWFqJ/cBK0NpPywjLAGZfxq\n7MRtywPO7fOaxRWtrslDj9lKd4+FvbXtfuWRbXbI21nLvJlZQY25LwI53gmhFwgOD4TQB4m9vZ3H\n/rOA8VU73Y1ZWfDVVxDmttKHJUag06rptdiQMmP9EqWkJUbw8LWz+HDJLsqqFUu3xpH+tS0shhWj\n5zKv4Ce0XZ2weDFGkxKSFarXkpHsnkRU1HUwfXgUiUu/BsCkDaX1L+9y5KijmeNxP5vNzvVPLlUq\n5mHFpGplZA7Ua4oYv+4ZaiLtrKpYTfU6FetMhRgjmrCqTIx4OY1hUcNI21VA2inKhODHicnUhqYx\na08laeVFRDVV0xiVjCFUS4JD0EfWeSRBnDaNeI98/t+sVoSvOsbGo87x7dwJM08BIDEmDFatQvXw\nw4zx+Ax52dMx69wW7LqRszBmDMdQscf7l5SXp2QB/L//8/8FehDI695ut/c7aY6X0IfqSGss58a3\nryOqx+0k6esuF1+8k33hu0Tf3N7jtT9/9ORh/LJFKT2xaXf9wAl9AIveJLzuBYLDAiH0wdDWxmUv\n3UGWQ+TtKhWqK6+EJ5+ElBSvrga9lpvPn8jqbTX84eTRAS83c2wKM8Ykc9dLKyiubPM6tnz0Mcwr\ncBTI+fFHTKkXAop3d3qSO2d9ZX0nLF2KtkexRteNnE2E5F/ARq1WcczUdBYtK0KNBoM9nmuPmcVX\nK0uY0/AD0/I2A0Z6rrqXC7coE46RWeHcdnk2Vcu+pHrNGqojQU6NYWfcXp4+ogfrHKiKBIvmFnQk\nsa07iU2V6VTp1aREyXwyXpkYpI1JIjTM34lxY4sKe3Q0qrY2tPJumKm0R4br4LP3vPo2hceyaOb5\nXm02tQbjnX/CcNctAKzKPYKjCh3L/A88AOeeC6F9FwzyXbr3TJqzaXcdeTvrOHtujleuAk8809+G\nh2o49r1nvUTedR9nRkAgZc++izf6ljNuajN6if+5s9JIfeNFcupLWaG7CZixz+v1F+GMJxAcvgih\nD4anniKrTKni1qkPI2zp96iOPqrP7vNmZu3X4lKpVJx+ZDYvf5rvahuWGMFuy2jMGh0h1l7sP/6I\n+ZLzQKUiNETD8MJ8EtvraYhKoqKuAzZ/6Tp37cjZnB8euILvcdMyWLRMWeJOiDEwdXQyyzdVslI6\niml7NgNgf/ElGHs9KruNcZ2NZL+2juwFC8Dxnb/0kiupMh7HuNoCnv7sz9iB78ZN58V5F5OZqGFY\npopF5Rux2GtZPBqqI6G6aAHVW2qxRKrQ2+IItccRaotDb4/lhZNjyChoI62jHntvCTZdOlGhWvjP\nfwCwqDVcdcM7tBmiwcfS1mrURN82H3N6Mo99WsDWzImkWBcwsmQr7N0L774LN93kdU5jq5Gl6/cy\nfWyyX3gdQFOrEb1OzXMfbKSrx0Jrh4n7rwwsph1G9/m5BetI26Lki2oKj6PprvvJPe1o/rm8gv/V\naXjz3ZtJaasjraYUzGYI8f8d2e12P4u+qa3H1TaloZCRp9zJqDJlRSTl/UZ46nK/53IgBHK8E854\nAsHhgRD6YHBYhx36CJ645DGe2YfIB8PcKcO8hD4mUo/FGsvOYWOYXL4NVU0NmU0VlCdkctFXrxJ+\n1394LcTAfRf9lcoQFeYvFhMYJdPGAAAgAElEQVQCmLQh5A+fwjXhgR20MpIjuWheLqu2VDH/3Ilo\n1CqiIkJYNmoO16xcSLSxHcN333C2MZlTtn1HeotP5uK5cyk+4xLYXIecmostLBx1dxcn7dzAyQXr\nUanAmpjE9LTpnLK9C50VTOmZ6P9VhrnXwln3f0qPuoUeVTMmdTM9qmYKU0JZC9REwI7IJ+jUdfBL\nnp4nzukirQPCVDEUxP6PUHusxyQhFr09jhHJ8Wi0GjQXnk/Vrgho6+HdIy7jryWOAjVPP62EO3qI\n6j+/2sHqbdV8t24PyXH+lnpDq5GwUJ0rFr6i3t9Cd1LicJDTWC3MetedA2rh0Vcwct555M7OoTCv\nF5u6meKkHFLa6tBZe5X8BpMn+12vurHLK40xKLn/27vM6Ht7uP+LJ1B1tbuOZdcU0/vlV+jOO6fP\nMfaXXuGMJxActgihD4aHH+apPWFsDR+GLmHgUpCG6DQcOy2d5ZsUb+vxOfEUlbeyJXMyk8u3ATCp\nfCtjqncxZ4Vi6RrMRh766ik+OPIPhLQrgrM5awomnZ6oPix6gMtPHcPlp7p3vqMj9BhDDLx31OXc\nvvQ1AK5b8S//E++8E555hshlxUAdFo2OtulziF35o7scrx209XWcWf+N6zTT+EnogRCdFh0R6GwR\nRJLhWiG4XzucEZ89DsArJ17K9xPm8VT95/DDR1RHwuITZiDbQ+lUV9Ok2UGPqpkedTMmVSuG7nCW\nv55JWmQaNXoN3fow9qYlMOu8iWSv2kZmXTlR77/vCnkEKK9ThLK53RQwl3tTm5E4D3+C1g6TXx8n\nO0qV3PAzyjYSsVfxSShKHsmKMXMx1Ct5C5zJckqSsznKET1g2ZCHNoDQ+8bKA+woUe4xqXwbYQ6R\n74hJILJVyWRnf+QRqK8Fo1FZvdjHVkVfWG12lwOgPkTjei7CohcIDg+E0AeDRsPWYePo6rGQ7JG1\nbSC47qzxVNR1YOyxcMrs4XQZi9iSNRFWKcdvWP4OFrX3PZM6Grj7u5dc79eOms3IjBjCQvv/a412\nTAp+HH8CV1StImanu1xrZ3YuEddeCSedBNOnAxDjEc5Vct4VTF/5IwAVcemER4URt6cQTyyT3IJ2\n4QmjWLSsCINe40p1W52YxQjH8fTmCtR2O9KPPxNSDxOaNGwceSujaj0T8ihpZu3YOPfEVKZNDqWm\no4YPf17HxtYi2jQlPD9bQ2Mq7I0GXdl8sl7/O5kxWWRGZbKu2wjaWAz2JIymBEKJRYX7uTa0Gknx\nsPQ7us1YrTY0Gm8PfnOv1bWfPrG5zNX+xfRzsKvUVNZ3YrXaXKGKJUnumHfLhjy0N1zv97vwXbYH\nXEmEZpTmudrW3/AAOf96hRGNewgp2O7ensjPV8odB0mvh6BHGnQuofe06M29Vkoq2xiZEYNOO6jV\nrQUCwQAjhD4I7Ha7K81s6AALfXSEnpfuPNbl9Z0cF8a3iSNoD410OXi5wtUuvRT7smWo6upc51tD\nDRz10HwmzhgVVKnVKIdw21Vq1t/0EPPu/D80FgvrcmYS/vm/mTB5hFf/mEgPoR83E+vKHfz94020\nh0Vz2amjufjdx+Bjd4kD+9RprtdXnDaWi07IpaiilQdfXw3Anpg0jnQcn7pnC/VR3xJS69gyOO44\nbHEJSiEbB6fMzqKspp0es4Xzj5xCTKSeySmTsdVJtMtKqdyrpo3l/K+vw75yJc0GG+VvXEb5FIm9\nbXv5oXc5XbpCjKoGjOoGzKoOQu2xhNlSCLMlYy8ZTbF1LK3qLsJsKejsEbR1mb2sfIDC8hbMjgp/\n4zoqXe01mRKgLPk3t5uwOfLWliS7hV61eXPA34WzOJBKhavAjN2u/G96meMcnQ7TcSfw8e4G/vzf\np70v8MEHcOWVcMIJAa/fF87PARARFkKjIzOiZ8jd8x9tYu32GmaPT+HPV88K6voCgeDQIoQ+CCxW\nG1bHF7dnwZWBxCnSEYYQbGoN2zImuJZ8AUrnzCN74UJU27fDPfcoqpCRgebKK5l55Ji+Ltsn0R7L\n/HvScnn/kYVUbN7FpuFTeS0twb+/h0Xf1mmmIyqK9jAlpt+g18Irr2Bc9AWG3h4sag32KVO8zg/V\na0nyyNFeoo1REufs3ElWUznzf/6nu/M99xBa7z2hSk0MZ/55E/3GNTbbvZWyo7SJ8++7D9XKlcQb\nIf7Nr5hyxWp6zBaWfubtHGmll4jYLsrb99CtrqPZ2MKP5f9ju0GmW61MMOa+P5Ixyblkx2STHZtN\nTlwOu3fqsGNHhYq0qmLlYhERhOSOhIo2WjtM7K1176e3G6Koj0wkqaMBXcGOgA55jY7MfLGRofRa\nrK44/xENZSR0OkrIzp1L3LBE1uXMYtGM8zm2s4TEUZnwXyU7o/3GG3ljwYc0m+G2i6bscxunub2H\nsFCtl+UeEeYuU+Fp2W8oUJ7Fpt312Gx21OqDdwAUCAS/DkLog8CzoE2ofmAtel+cX7g/jj+Bo4rW\n0KvR8s7cqwm7+49k63RKQZiffjro+3gJd5eZpthMdmYrcfq+Vix4L923dZi8iqGE6bUQF8fPL3xI\n4gtPI085mktzMvyuER8dilqlJH1paO2Bd9/FOucINDaPPeFLL4WTT0bv4aTY15gAslKiCDfo6DL2\nsqusCetVp6DJzYXCQlizBvLy6Mod73eeBh1jk3PpbY/F0msn3RrBicmR/Lx2LSq7laLEeP5wUiq6\nqBZKW0rZWL2RT3Z8wsaKHfREdhFlSeaaY+qQGmF0XCr2mFqsFWo06MkvrHfdJ0Srpjg5h6SOBtRm\nE1x4oRLr79hTt1htriiA2Cg9VqvdJfQzyja5B3z66UqeAZWK94++nKoZGdxx4SSYMwfy8lAVF5P4\n8rN8e/QVjM7ay/nH+4dagpJs57F31pMQHcqj17szLniW6XVOAPbUtBPe2cq0PZvJz5pCS0ePVwKk\nQCxaVsiemnauOXPcfvsKBILBRQh9EHhWkBssi96J8wt304hp3HvbO1T3amgLi+Fy/cAWBvS20E2u\nynUGvYawUP97eS7dt3aavAraGBz9T775PApPP47zUiMDWn5ajZr4GAMNLUbqmruxzziWr0+6irO/\newcAe1wcqhdfBJQVAE9iIwMLvVqtYtyIeDbsrKWrx0J5fScj/vhHuEWJsefll+l47h8Bz40MDyFF\nb2fimm85eecysmtLOM9xbG98Jm3DHmHiXde4wth6LVYu+fO3dFk6GNmxillFryMnwCLJSl7Do1RG\n7iHEHsWWbVloQ5OJsGYwJmEcn02fx8zSPGUL5r//VdIljx0L119P2xnnucYTGxmKzW5nT42yIjCj\ndKN7sGecQWKsWzgbWoyg0cBbbyl+FFYr5+V9SV72dMrr/CdZTh57Zz0AjW09rN1e42oPC9WhVquw\n2ewuZ7ySylbu+/o5JlbuYHdKLnX3nr5P8a6s7+D9b3cBkBhj4Koz+k75KxAIBh/hVRMEnnnu9QO8\nR+9LRJh7yXV3SDxtYTHAwK8kRBh0LjFu7zK7nMf6spwjDDo0jv6tnSaMHiVZndn/NGoVY0bEBZwo\nOEly5Po3mix0GXv5Ysa5LB13Ao3RSag+/BCSkgB/X4jYqL5zu4/LjnO93lHSBFdcATHKc+PTTzFW\n1wU8L7NhL4+/cQs3/fQW2bUlXseymsqZeM918MYbrjZ5r7I/ryOc87v0XL4NnvgJPh9+L4tOW8Gp\nHZ8wp+sJ0jpPI8yWQpumlDzb27wqPU/8/eGcdpma++fBh6kNbN29AtNVl9G13m21x0ToXZkEjyhc\nw2hnud9Ro2DUKKLCQwjRKc/FVQJ38mR45BFASbV715KXaKl0ryjsC6vNvRcfotOg1ylfC06Lfm9R\nNeMrlfwRo2sL6Vy3yf8iHnjWDKhr7u7XGIKh09jLis2VtHQEV4RIIPi9IoQ+CDzDsQbbog/3EEmn\nYxaAYYDvq1ariHJMKirrO+l1OGbFRQW22FQqlWsVoDXQ0n0/SfKwSuuau2nvsfL3k2/jkQc/gVNP\ndR3znVDF9WHRA4zz2KcvKGuCiAhlCwDAYkG9epXfOVP25HPO/ZeT0FjlaqtOyuLn0cdQnJTt7vj0\n065fxJaiBldzbku5u8+kSaQnRaBCQ7g9hSTLNLLNZ3FcyN18esYPnNLxMdNMz5KYcA3dhiQWj9Fy\n6fkQcx+cvPRk8kNfpDTkv4Sufp6Lbz+BR758glt+dNdP4L77AOV3kBijPL+GFqPL4c/+wAMUp+UC\nkNxez5RvPgz4nLp7vFP/ek7WQjQqko0t6Cxml0Vv3pCHGvcfYeTiRQGv676++3q+eQEGglc/28Lz\nH23ir+9uGPBrCwSHI2LpPgiMHhb9QHvd++LpFOXJYEwwoiJCaO00eRVO6cuiB2X5vrm9h45us1e+\nd0MQYX1JHtX7yus6XHHcvs5jnp/XoNf6LeV7kpMe44oDLyhtUiIYjjsO/qEs2YeuXwMpZ7hPsNu5\nbelr6HoUq7MsIYtXT7yF4rRcbHZQ2W38ddHDTKgsgPJyJYf+zJlskd1Cn1TuCCdUqWDCBJJDDa4Q\nQCfHTE0nOjwEFWrC7Sk0q8+gedQZ6HtN5H92B/bGGnYldvPI6dEUxu3hPePP3H2dnWHtG5laA9Nq\nICt2Mideeh6O9QkSYw1UNXRisdpY+M1O2rtMnD03h7+ddDuvLbwNNXaOzfuGno4uQiO9EwM5ays4\naffIEDjp24+5/p/PUDBsDE9d+Qy9FitRBVu9+qcv+xpstj6LBnlOJAJlHzxY5L1KGGJRRWtQtQkE\ngt8rwqIPAi+LPgjr9UAIDdG4lsi92gfBCTA6QCa9hJh9CL0zJM8OdU3upVnfwj37wtPzvrjSXYI1\n0meC4zmhio3cd0lWrUbNmCxl+b61w0R1Y5dXudqoTeu9+o9oKCOxQ0k805Q7nj/93zMUpioiD0rI\n4UrJo9ztokV0dpspqmhBbbMyTtOJrtBjWT08HI1GTVqit7AeNy2dyDB/73eTTs/Xp16L3gqTa+HV\nLzfzxPIY1rxjp/Vp+M9ncGoxFMeF8MQJkPFSJqNeGcXlX17Obvv/aFOXYsPKl8uLWZZXwYK311EZ\nl86GHCVlb2x3K53vfex339Iq77oKTqtbbbMycdHbAIyr2sXEnWvZW9NBTk2RV//I5jr45Rf/X4CD\nwbboncWIbDZ7wKRHAoHAGyH0QdDzK1r0KpUqoFU/GBOM6Ah/EZow0j+0zomnQ151Y5fr9YEu3Zd4\nFPTxFUS9h0Ufu49VBidSVqzrdVl1GyQng6TEtkcXFWAwuScm0/a4PfobTjkHk87/+utGzsamcvwz\nWbSIbUUNRHS38/q7t/D0c5dBr8N6nTTJdU6GR9GhrJRIhqdGeflceLIwdirmCcq5mc2VXJD3BQAa\nu4p1Y64mgVPQxj7LFxf+TOt9rSy+eDHHZB1Do62IfMMLfB/5B9aGPcxu/Yfs6v4Fs6qd/0053XX9\n0Lde97unr9B3OMR4Uvk2QtvcSXtO3vQ1RZWtjKor9h/4Rx8F/DyAK32w89p2z72ng6TXYvOKfuny\n2YYQCAT+iKX7IPD0uh9sZzxQHN/aOr0tosGYYHh63oPy2Sbk9C30nv09l2aDsug9lu5Lqzwtet+l\ne/fn3dd2gpOs1CjX6701HaTGt9IYn8ssZNQ2G2Oqd7N5xFQAppW5E9eY550Iy1v8rtcaHsPuzPGM\n3bsN9u6l6rsVXLzuM9Laar07zp7tepnuUUb4mKnpqFQqwg2Bt2LsKjXfXvNnzrznUjRWt0D2nnY6\nX0lnu96nJoSjUWsYlzSOcUnjGG45iZc/zcdMJ62aQlq0MmUhX5OveZHVY6IpuiiM0+VujtmbT8T6\n9fROm8GiZYWEG3ReKyjgtrrnyt5W+qSK7cjfLSOlTXFirIhLJ7mtTim09P339LVg7rl0b7bYMJmt\nAzZB7TR6/3vo7rEQHz0glxYIDluE0AeBycuiH/xHF2EIAbq82gbjvtE+++KTRyW6vLoD4XQE8yRE\np/FLE7svEmMNrgxwRo8JVKTPWDzjuuOj9y/0mSlua7q8rp3SqjbConJw5nIbV1XA5hFTCTN1MaZa\nCQGzZGRimDQelgdejl45crYi9MCEt54jZ88OAOx6veIDkJMD8+e7+p8wPZOfNlYQYdBxypzhgBKJ\n4Izz9+XTxnDUZ97AWYvd4X/aO+5A+0MXFqud6IgQvwgGZ4hdCBEkWaeSZFUmL3asdKgrUIf8h29H\n/cK9J4LhfyeQu/0U6ovTiLeMx2BPQuUh0+1dZnQWM3OK1vmN7dhXH3G9rho/A/PureTUl6IqL4fu\nbggL8zvHc+neef0BE/puH0dCk3/5Y4FA4I0Q+iDwSpjzK1j04QGW7oOxmvtLlI9FP2Ns8j77p8T7\nf7kHs2wPoNNqSEuIoKqh06vd16IfMzyOKbmJ1DZ1c9KsfZf8BUhLiECjVmG12dlb065Ufstwx3Gf\nuvV7jihaR2xXi6sYj/Wkk4nbR1z46pFHMH/th6i6uxldusXVrrr9dnj2Wb/+qQnhvPPnE/2cxCLD\n3EJv0GsZlx3Pxl11dBp7WTjyRJJyNjK7ZAP2Y49FfcLxHNOYz7K8CubNyPS7R0ZypCvp0KRRCXT1\nWCiuaEWFhuyoMXSYbmHhW5sIN3Ujp5h4+v50CrSb2K3/EBUaEiwTSbRMJsE6CUzRzC7bTLhZ2dYo\nGTeLjN2bCbH2ktTsrmBomjSVqroGcupLlYaiIq8tCye+Xv3t3WYvn4yDwXeiFGjiJBAIvBFCHwTG\nX92iD7BHPyhL997iOn3MvoU+OcCXdjAe905GZcb4CX1UuPdn1mjUPDb/iH57V+u0aoYlRVBe20FV\ng7Ia0hGZSF1UEsnt9USaOok0ed9Te/qpxETovXLMe9IaHsPeF99i2C1Xo7MowmKOiCLk/vv7HEeg\nsXo6po3KiCE3M5aNu5Rl8V6biifPup8Zxioefv5qUKn448VTuPK0sQF9E+KiQrnz0mkUlrdw8bxc\n1m6vodhRNnfG2GR+3GBi6fgTOXfTV4yutTB/pZGm4fdgx06XuopGzTaqdavYbniDcFsKkYZefh4O\nR1TAlnkXsl2fzDmb/+t1T9v06dTm7XA3FBb2IfT+Fr3na4vV1q9tmEB0+gh7t7DoBYL9ErQzniRJ\nZ0mS1HeRbne/8ZIkLZMkqVOSpHJJku6TJOk3HQdj+hVT4AIB93X1gzDB8J207C9laSDr7EBWGkal\nx/i1BfJOh8DC2ReZyZF+bUvHBy70YtFo0cybh0ajDhh94OTePdEsOOchjA6HPc0TT0BcXJ/9A+Ep\ngBnJkYxIi/I6blepaRs9EcIVr32VSrVPB8Rjp6ZzwzkTiI7Qc9z0DKaNTiI9KYIzj8omOS6Mbyaf\nhs2xRD/hx89Ja6lChYoIWzrDe09jhvFBTup4n3E915Hc3swD8yDxXngk7T88Mi+J1+a68xl0hUUR\nMWUCVbFp7gHIch+f01uMnc5+1Q2dXP3Y91z7xA+uqnzB0ukTrtctLHqBYL8E9e0sSdIRwIfQpx+O\ns18S8COwA7gImAr8FaUK+fMHNNIhQM+vmDAH/C16rUY9KCVCRw+Pc5WOveGcCfvtHxqiJS5KT3O7\nu1b7AQl9Rqxfm+8e/YGQlRrFqq3VXm2LZl5AXvYMzNoQNEmJPGdaj+XLr7DOn09MpDIxiInU09rp\n/kwJ0aGuSm5Gk5VtmZO446a3efKcEcQfdyTBkhQXRr0jU9yY4XGMSPP3IovZTwhhX+h1GhZ45KxP\niQ9nY30yG3JmMLtkAxHtzbz57i20GqLpjYnFFBVLhSWE9TkzycuZwYvfKasfFVPH85ebz+X7tiXc\ndewmHpuTxMklOkZmnsvl8WFUxg1z37QPoe/qw6J/7fOtrkp5Xywv5u5Lp/mduz86uoVFLxAES7++\nnSVJ0gN/BB5H8Q7b37fxLY5rnyXLcjfwreMaD0iS9LIsy7/JafivmQIXnM54bgbLLyDCoOPvdx9H\nTWMXk0Yl9uuc5Ljwgxb6EcOiXHnVnUT1YdEHQyCL3qbWUOrIdJeVEInhT3+Dl/7m1ScuKtSVXx4U\nq9sp9E4uvnwu8dP998z7w83nT+TJhXlkp0Vx5KQ0NGoVYaFaL0u/PyGE/cHpR/H5jPOZtWcTKqsy\nSY0xtoGxDWr2kA7MKVnPB0f+wXVe2LhZzE44lbqdudix0qIpYs2oPJZGLuG1jz4jLGMMc8fAKcUQ\n1ofQG3336B1Cv6240dXW4xDo7p5eNBo1+n04f3rit3QfwKI391ppbDOSlhDhd0wg+D3SX/PwVOAB\n4E/AK/3oPw9Y5hB5J4uBOGBGUCMcQvyaKXDBPzveYCbpSYkPZ4qU1O/yo8k+DnlhB7BHHxqi9RPl\nvuLNg8EzxC4Qfd3DN49+Ror32DJTIjlmat+FYvbHtNHJfPz4qTx729FoNWpUKhXDfca6v6RA/SU1\nXln+l9MkVn6yjI+OuYJdqRJtEXGg8/67Ot8Ruw/QO3W6axKrQkOcdTRjTJfz5PivWHfdOuJ1o3l5\ntpbUu+HCUfl8uuPfdJq9fR58reyObrNXKVxQiueUVbdx+aPfcc3jP9DmsZLii9FkYfmmCmqbuvzD\n63zuZbXauP+1Vcx/ahmf/+Sd6Ecg+L3S32/nPGCELMutkiQt6Ef/XGC5T1upx7E1BIEkSYGqaBy8\nIhwgKhWEH4CwBYvv0v2v4enfX1LivLO/HWg0wKiMGC8reiC2JlLiw9Fp1a68/b4EcnIE/zh930nI\nZaeMDpitMBh8LdcRadHsLHMnqRkooffKPKiPZ/G08/j3tPOQsmJ5/rajoaREyeYHhJndRWis02YQ\nYvL/HUSFhzAidgRTQy/g1qWrSWvewVeShYUb3uKGr+dz/IjjuWDMBZw28nS/kLf2LjNyeYtf2+pt\n1ZgtNswWM1sKGzhmanrAz/Kv/xXw3do9JESHMi7bO7+Dr9f9uoJaihxOiR98u5ML+ijTKxD8nujX\nt6osy1WyLLfuv6eLKMDXYa/D49hvklNmD0ev6SVRW8+br/dnYePg+DUt+mDx9bw/YKHP9N+nP1g0\napVXdjpf+qoj4Ls/njMsxiXsMZF6Zo9PHbhBOvB1yDvQPXpfEjwcKj0z4UWH65WZ6siRlDgK4Djp\n1IehlnIDLqM7fSfCDVqq4oaR0A3X5sOS+pPYY7qJc9NO4NOCT8l6OZP1oU9Qpf0FK4qV3tFlVqoJ\netDWaaK1w23F+zrZObHZ7Kx2+Fs0tvVQVuPtxOdr0S/LcxcZsg1cQj6B4DfNYCmHCujrn1lgM2sf\nyLLs57UjSdJwoCzYax0MU0cnsebD26mpqSE1NZW77757UO/nu0c/0JXrDgbfWPp9laTdFznDBiet\n2YhhUZQ6PLtHZsS4Qs/A/7k68bXoUxPCufmCSWyW67nitDGDUjzF1yEvdh/V+YIh3qNWgaeHu2co\n5ZaxR5BTXeh6X5Q8iky9NmCyJGc0RLhBR1Wsh0PeAw8QC1yxeDJXrF9PaXML57/0FJUhy9hheIPk\n3plo207DUjxT6W+3o7FZ6WrrpMUzw2If3vN7a9u9si9W1ntvE3hW3mtqM7Jpl7sUcUI/EiwJBL8H\nBks52gBfkyrS45igH/guMf8aDoD9JSV+YJbuR6RFu7zbT569/4Q4/eWC40fR2GpEyopDp1V7C30f\nFr2nyDod5U6aldWvRD0HSmZypFf8/kBZ9NHhelcVPU9Pdc/qgAUTj+b8Hxe63hem5jJSpyFE6/93\nFhXuFvpKzxA7J1u2wCOPoLnjQdJ7jyO99zh6VC1U635hpfEtvut+ipFM5tlvtnFKYSMqoCFhGHvP\nfoS66GS/jHdOthY1er23+Zjpzlz3drudJWv2YLPDMbtWMKN0I98ed+k+n5FA8HthsIS+CMj2aXO+\nD+yqK/DDN45+MLLiHSi+1u+Bjk2nVfP4jUews6yZIycGEJADJD0pkiduVELgftpY7nWsP3v0kWEh\nv0r501C9lrSEcFdyn4ESerVaRXx0KHXN3V7tnnUKWtOzqYpJY1irsjRemDKKs7XqgBNKp9BHGEIo\n9Qyx8+TZZ7FPOcr1NtQeS7b5LLLNZ6Ex7iC77EluObWbsHlw3Wa4bFsV93z7Avdd/GSf5Wy3FTcE\nbHfS3WPhp43lLPx6Jy0dJrIa9nDPkhcBiDR3ATfu83yB4PfAYFWvWwbMkyTJ0+w7B2gCtgQ+ReCL\nQa/F0/drKDnj+XrnGw4igVB6UiQnzcrqs/DLwZIY673N0KfXvYfIRoYPzlgCcfYxI9Fq1Jw0K2tA\nozkSAtQk8Fy6N4Tq+NGRSKhTH07BsLGEaDWB9+g9lu7ro5JoNTi2HBIT4dZbldd2O7Gvveh1Xm5N\nIdeseJc3P3qZF77rpuRleGpZBOvStYy8HR49UmZc4ct0dPt73VutNr+9fV+6e3r551c7aHHs91/9\ny/uuY1PLNmO1iDK2AsGAfKtIkpQDJMqy7KyK8Q/gNpT4+eeASSjheffLsjzwBaoPU9SOQijOpdeh\n5Izny1AuLpLkK/R9TChC9VomjkxgW3Ej00bvOw3wQHLqnOHMm5GBLsCS+cEQqAhQlEf2P32Ihi+m\nn0NZQhZVccMwhSt5DUJ0/vP/SMd2R7hBi02t4Zkz7uE2TSk/zT6Lr2tUvB3+IZFdrYTnrUU79SYs\nGh05dcU8++/7XTUFANpik/hi7l/Jaqun5KWH+HSCnbenrqS8/ExUK/7I1VOuJj1K8b4vqmwN+HcV\n1d3GUYWr0feaCO81Mq10I6mttVSkZDO6fIdX356iEsLH5PpdQyD4PTFQyvEwcCWOjHmyLNdIkjQP\neBn4HKgD/izL8m82K96hIsIQ4hb6IWTRgxIa5wxl8t2zH0rER4e6CsBA33v0AAuun0NFXYefN/xg\nM9AiD4GrDHru0YeGKKK9KXs6AGEOgfd1xgs36FyVCSMcTpc7Miaw7oxL+PTrAgDy08czV16FtseI\nVFNIwbCxXLNioZfI71EjQucAACAASURBVEmX2Pzn52ksstIYmcjSSRdy8/rPuDkPvp4cwbczqpn0\nxiSOyjyKW2fcSnNp4MREd3z/d2aU+Ufc+oo8gCVvEwyA0FttdnYUN5KaGO43cRQIhjpBC70sywuA\nBT5tVwFX+bRtBILPEyrwIjxMp2x4MLT26AHuvXw6L/07n4zkSCaO7Lt+/aFGq1ETF22gsVWJF+8r\nnz4oPgPZgxQJ8GsTqGaB5x6978TR6YTnu3Tvma0w3ON1Zb07gnZr5iTmyqsAmFS+jTBTFxMrFeGt\ni0ri3kue5oiTpynx/UXK5ODT2RdyVOEq0luqOWPLXs6on8Hzd/6Nj7Z9xN0/3E1NczvJupPI6D2e\nUE0YFqudkF4Tk/du9ftc3bpQwnp7/NrZvBmu+L/ADygIvl5Vyj+/2kFUeAhvPzgvYJRJr8U6KBM2\ngeBgGVrKIfDDc5l5KHndg2LFP33LUfvvOARIjgvrl9AfTiTE+C/dR3tY9L5/TyF9WPSeqwCef4+e\nlQe3Zk50vZ5WtpmjCle73r9/1GU0R8QxRUryymxn0eh4+9jr+MuXjykN999P2AUXcP2067lu6nWc\n98zLrNcuojD0E8bpTySm+QRm1rejsynL+VszJvD9hJMoTM2lKSKOP8dUM93exBeaLM579FoANNv8\nJwUHQkGpMttu7zJTVt3OuOx4r+NfLi/m/W93cubROVxz5rhAlxAIDhmD5YwnGCA8v1iHUhz9b42z\njs4mPFTLiTMzvYTrcMbXog/Rabz8PHwd/3R9WPSehYbCQwMLfV10MjXRil9Dbl0RGc2VABQmj+IX\nSZkMjs+J9/IRANg8Yirrchwx9g0N8MknrmOatpFMM97L+do3iQ+LZW3YQ3yT9ArfjVSSdKzOPYJf\nRh9NXXQyFo0O03kXwF/+QuukGXSHKJ9dv2NghN4zA19NY5ff8SVr92Cx2vlu7a+a2kMg6BdC6Ic4\nnh7iQ9kZb6hzxMQ0Pn78NG6/eMqhHsqvhu8evafHPfgv3TsF3teij/TwafD0b2jrdFvnOq3ay6oH\nsGq1vHHCDdhVytdMWKgu4CRr0cwL3G8++ACA1k6Tq7ZETkIWl+XcxfGdb3PebgP3ngiTboLFuR3Y\ncDvrORPkGAwhlCaOUMbVUA81NX73DBbPOP/aZn+hdxbuMZqs2O0iJZ9gaCGEfojjudQ6WOFnvxf6\nW7DncCE6Qu+Vmz/aR2T1vha9a+ne+2vB0wrv629w7Ig4tmZO8mqrefhJilOVXPM3njvBNSZfClNG\nURXjyKGwejWUlFDX5I7/T44LJyHGgMau5c7VTWx9HR7/OYT8uO38FHEjpSFfYcHoCic06LWUJHmk\n8di8GWz+CTl/ya9iydo9fkl4AtHhseXgOTZQHPU8Lf6+aiwIBIcKIfRDnOOnZ5AaH8647Hgm5Axd\nhzfB0MOZNMdJlI/I9tcZzzOnQN9CH09+1mRXfP3ScScQffft/PWmI7nz/6ZyyhGKhe072QBApeLn\nsce433/4IbUeiX5S4sNIjDGQ0lZLbHcbKmCsbQKzjY8zvft+WjSF/BRxA89u+As1HTUY9O6SxACc\nfTZERsL/s3ff4VFV6QPHv1PSewiEQCAJ7dCrdBULTQRkRXcVfiqssrrrqmtjde1trejaWNu6Ntay\n4toQpdgpFgSkHnonlJDek5nfH3fKnckkTEJIQvJ+nodn7px77p0zGZJ3Tv/wQ0+S3n2Mx976mbnv\nr+W9pd5lgKvjU6PP8q3RF/lty+u/U58QjU3agpu4dq2jefH2cxtklTbR/LSKi+BwtjEI0T/IVgn0\nrpq8zWbFbrNQUWnUdM2j7kPtVs/SumY9MxJ5OzyaW6Y9RrvsA6xO68/Z4SFVvpyGu9bS9w+GX/c4\ni/9b7uqff/NNDg3/nedccmIkrRMi6XFgsyftSA+j9SDe0YVBxbcSGptNUfkqes3txVkpFxCbku69\neWUlFBXBjBmwfj2kprLOtBDPvM83M2ZIx4CzFIzLHT7z+TP9Vhv0X9WvTGr0oomRGv0pQIK8qCtz\nP71/s7l/0725b958bB6MZ7FYAq5D0LVDAnabhUNxyaxOH0BYmB27LfCfF/+xAmAM5svu7xqUt307\nlpUrPefatjKa7rsf8K6eXTRgiM/1GfGdeHbCs2y6dhORIeH8p+MTXHRJa/bGAhGun0FuLsycCQ5H\nlQF1b3y2KWBZAQr8NtzJyS/1Cfz+6/RLjV40NRLohWjGWpkCvf9AuOqa7sE30PtfFxVedbOlqIgQ\nkhO9iybVtLhTwOZ7YNfoCzzHaYu9zezJiZHE/LiMMRuWAODAgnPYMJ9rE11dFMnRydw25AHOKnyO\n1Rkj6XFLLH968xL2uvexX7IEXn2VvYd8d9H+8ue9Prv8mfnveQ/47CHg/0WgVAK9aGIk0AvRjCUn\neldx82+a9p9eZx6EZ+6n9193wH8JYXdLQfvW0Z606najA9+xAuYBknrIuRBmnOu9aik992/k8fdu\nJ3bMWVguuICQSqMWvbj3aBLT2vrc07yuf0SYnTBnPD1LZ/C3Tv8jJrY1/WaWcM1E2BMHzoceYv/B\nHPyt2nw4YHkDbbhj7qcv8G+6l0AvmhgJ9EI0Y2cNTKVvlyT6d2vNiD4pPufC/TYiCrF7/xzUWKP3\na7qPdzXFt0n0BtvKGkaym2v0Kaalk49Zw42Bc0BUcQEP/vduuu/bZDTj5xs18NVp/Vhx9R0+WwqD\n797z5hUkrZUxPDrmUfSNOwiPa8eAq+FmtYuuGxYa7xkHv1v5Lpd9/ybHDgTeQMe/xg6QmVV9jb6s\nXProRdMig/GEaMaiIkJ46I+BV6KuWqP3BvdIV7C0WALU6MP9A70RZP2Db3XM0/U6to3xLLxTWFQO\nl10G770H4FkBz815+ukkv/Eed3VM5ohrlUO3xDjfGr1bcWkFTqeTT788TGzxLDbMvY8HzoRnerxI\nG0suf9/fmgtdgwD145lwyddg9/25BGqdOGSq0fvX+KXpXjQ1UqMXooWqOure+3z88HTCQ22cPyIj\n4CY3Zu7BdeZtfmtiHozXITnGc5xfVAbjxlGe6F1etjCxDezaBYcOYfnmG9plpGCzWausNV9djb6k\ntIJ3l2zhg6+3sTqtP4WRnXj+M/jxZQehRau5tu1z/PM0KLeC+nUZXH99lTn3gWr0B32a7mUwnmja\nJNAL0UJVWeve1HQ/ekhH3nlwAldf2Nf/siqBPt4V4If3bUdUuBFkLzuvR7Wv27uTd8rd0F7evvaC\n4nIICWH3RGNqXbnVzuoHnoO0NGjTBqze8kWG+9a6zX30YaE23BNVDhwt5O1FrtH6FgvvD74QgC7H\n4Me5O/j0rUr+1wN6Xgvv9gLHC/+Ec8+F7du95QrYR+9tui8sLmfoth94ct4tjF6/hHJpuhdNjDTd\nC9FC1TS9DvBsTevPfzBevGtwXXRECI/8+Qx2H8xjRN+UQJcC0CMjkTk3nInNaqFzajwRYTaKSys9\nNeNlv5nFh0fC2JWUxuVnnRHwHnab1Wc+fmKst0ZvsVgID7VTXFpBTn6pJz0qIoTlXYezvn0veu/f\nQHhFKYMOwqI34akze/PEiPXMGQHPLPyaYaedZqyol5ERsEZ/6FgRDocTq9VCQX4R1y6ZS0JRLrO+\n/hfLS26q9r0L0RikRi9EC2WzWnxq8ebjmlRtuvc22aenxDJqYOpxt2vt1jGBzqnxrvsZTfnune32\nZJXyTY9R7G6d7jNYz597kGBCTFiVLymBtnQeM6QjDquNJ8+7gYIw72yE3ORUvh54HxOO3MEfdTwX\n/RYuOzuH/U/ea5TL1DTvbr2oqHR4Rt63XbOShCJjal5kWTH2vbtrfO9CNDQJ9EK0YOZavX+wrE6V\npvsA69fXhnvTnILiciodTjbvPgYYwbqdacqev0vGdKNNYiTTxnWvci5QoO/WIQGVlsCR2DbMPfeP\nnvQtl87CYbXxS6fB9Lj7aza+HEZaLvSLfIOHFt1JdmGeJ++g7m08x2u3HgGg18pFPq8TvnUzQjQl\nEuiFaMHMU+xCggz0VZrugxyEV/39jJq50wk79ud4doJTHRN8NuXxN25YOv+6Ywzjh6dXORcRXjXQ\nJ8VHMKy30aXwXfczmH/HCzB/PoXTZ3jyLNhWyPL0M3nwS/jpJVj948f848ClHLAvx4mTM/q39+Rd\nveUIFBfTd913Pq8TuV0jRFMigV6IFsw88r4+mu7rwryk7s8bD3mOVXpCne8ZEVo10LeKD2fUgFRP\nbb/d7ybBhRfS2rSi35otR/hkwCQAMnLg/VfyOMd2E1vD3mNl1F3Y4g55BgL+uvUIlR9/TESZ71S/\nmJ1b61xuIU4GGYwnRAtWl6Z7c43eavFdC78uzPf7ebM30HdPS6zzPf2b7q0WY8Ce3Wbln389h/yi\nctJTYgHf1QMB9iR1ZHVaPwbsXgu7d3P2ujxK283hcNRSxr41mpHlPUg9MoHsmFTK7n8U/61wYndv\nC7qcP286xL7DBZw3Ir3KroFC1Bep0QvRgvnU6ENqX6OPjQqrsXk9GOYWga17vUvTqrQTqNH7Bfr4\nmHDPJjut4iI8QR4gITYcu833PXzS/3zP8Rk/LMCKjRGWsfy6MJ3I7d/yeeJtTP1mFhEb1wFwJCaJ\nQ7GtjdfauwMqfBf7CeRIdjEPvPoD//p4PR9+HfyXAyFqSwK9EC2YeXW80OOMlHeLigjxzFM/0f55\ngKG9vXPpna6Vc9u3jq6yIl9t+PfRm3fx82ezWmgd71urX5UxiPzEZAD67lxN14NbuOXV2bT96ifm\nfQAvfQJ/O6eYi34Lm5OieGjy7exsnWHcr6LcZx5+dXZn5uFwLRW8xjWwT4iTQQK9EC2Yb40+uEBv\nt1kZPywdu83KeSPST7gM3dMSGe63Dn/3E+ifh6o1+qQaAj34rtMP4LDa+HnERACsOHns3dvpsG+L\ncTIhgUFZSfz6T8jICWfAH2Fxh43sapXqvcGGDcctY1Zuied4+75cT9AXor4F3UevlJoFzAZSgTXA\nTVrrFTXkHwE8BvQDjgCvA3/XWle/rZUQokGlt4vl+7UHCAu10cavr7omf7qoH7Om9D7ufPlgXT6h\nBz9syPQEuxPpnweI8Fv1r1V8zevwt0mo+t6/GjCOsz77NxaHA7vDtaxtmzaweDFvry9lz0eL2dM6\nnWHF2awLf4FbRh2m+x7on4kR6C+8sMbXPJbnDfTFpRUcOFpAapuYGq4Qom6CqtErpS4HXgDeAqYC\nOcAXSqmMavJ3BhYBBa78TwF/BR6uhzILIerJBWd25rrf9ufvfxxZZdrc8dRXkAdIbRPDBNc0ObvN\nSv9urU/ofrVpuoeqA/IAdttiKTh3nOf5sdROsHIl9O1Lj27JbEztRVFYFNGOVIYVPYAqPIexl8Hd\nZ0PZ+rXHLaM50ANs21t161wh6sNxA71SygLcD7yktb5Pa/0ZMBk4CtxYzWUXATZgqtZ6kdb6WeAf\nwB9c9xNCNAHhoXbGDk2jW8cTayqvD1dd0Js/XdSPe2cNo20NK+IFw7/pvlVczYF+cM+2WK0Wn616\ncwtK2XnjnWxKUSzteTZfPPkfyDDqNj0zWvlcb8FCnP1CVr1gYU1bOK3dp6w6sKrG18z2C/Rb90mg\nFydHME33XYA04GN3gta6XCm1ABhfzTVhQDlgnmCaBUS7zpUEukgI0XLZbFbOC7D4TV34B/rj1eg7\ntY/jX3eMwWq18MRbq1i3/SiVDie7o9vy0qWPAjAzyRvckxMjaRUX7tPPXm4PpSw8nY/e3sl/+pQy\nIXksVw6+mrtH3U24vWrXQZZfoN++L7fW71OIYATTdN/N9eg//2MH0FkpFaj9bh5QCTyslEpUSg0G\n/gL8T2stQV4IcVKF13IwnjtPYmy4z0yCfYfzPcfmhX0sFgu9/Gr1AF/3GIUFmL4O1mb9Fp2lGfji\nwIC1+2O5/oE+h0oZkCdOgmACvXvCab5fer7r+iptbFrr7cAtrn9ZwI/AYWBmXQqplFrl/w/4pC73\nEkI0f+YavdVibHwTrLho77S+/UcKPMcxkb5jGHp1DhToz6LStZ1u2zc+4P0pb3PnmXdy3rzzeOjb\nh6hwGPPrKx1OcvJ9A31JWSX7D/v/mT35dh/MY8mPuykpPf7cf3FqCibQu/vU/b9qutOrbL6slLoK\neMX171zgMiABWKCUOvGJt0IIUQNzoE+MDa92y91AfGv03kDvXpPfLVCNPicqnjVdhxpPDh/GsnAh\n0/pM45erf+GrXV9xxr/PYNuxbeQWlBKo8r6tgfvpS8oquH3uMp5+dw3vLJY1+purYPro3R1HMcAh\nU3o0RpAvDHDNbcBnWuur3QlKqZ+BTcB04NXaFFJrPcg/TSmVDuyszX2EEC1DpCnQtwqi2d7MvBuf\nuQ/ef4peh2TfqXDx0WHkFJTyVZ9zGeSeefz00zBpEqmxqSy6bBHP/fgcw/81nOsH/A0nGViwkBAT\nRnZ+KQDb9uVyzmm1Ku4JycwqIr/I2ERox34ZI9BcBfM1171DQye/9E6A1loH6lTqAKw0J2itN2M0\n4/esbSGFEKI2EmPDPZvPdO0QX6trA227GxFmp22iby+l1Wph4unGKPzuaQmepYF/TBsIKa4FgL76\nCh41BvNZLVauH3o93874lnkb/s1PEQ9RasnltB7JxBTn0TbnYINPsTN3HxRL032zFUyNfiuwF5iC\nMTcepVQIcD6woJprtgAjzQlKqS5AK6QWLoQ4ycLD7Nx71XA27sxi7LC0Wl0bF6A/P6NdLNYAa/pf\nObk3owamktEujtnPGNvVFjutOF94AcsFFxiZ7rwT2reH//s/sFrp0boHT5w2n78suI1lkX/hioWD\neX3eV4RUlLMxtReVaQ9jmzyp9m+6DtwtCSCBvjk7bo3eVWN/BLhGKfWQUmoC8BGQhLEQDkqpzkqp\nYabL7gfGKaVeUUqdq5SaDiwEdgFv1PN7EEKIKnpkJDL1nK61XjM/UI2+U/u4gHntNivd0xIJC7H5\nbApUft758Le/GU8cDrjiCujfH9YaC+nkFVQyLHsyr31QwexWi7j3zHLKrdBz3wZsF0yGF1+sVZnr\nKqeeAn1mViH3vLyC1z49/tK/ouEFNUJFaz0XuBVjUN37QDwwTmu9w5XlLmCFKf9/MVbEGwh8hrEi\n3rfAUK11ww8rFUKIIAUK9J2rCfRm5r0Cysor4f772TH4bG+GdeuouOEvgLEq3gWrPuHiDfn88iL8\n3N7CiKvs7HL3Mtx0E2w9+fva11eN/vn31/LL5sPM/2oba7fIBj1NTdBr3Wut5wBzqjk3A5jhl/YB\n8MEJlE0IIRpceJid8FAbJWWVnrSMdrUL9KXlleQVlXHD6dczpN1wbvjiWWJL8uH776nIy6cw8wjn\nr/0MgDaldp645Csu+fZl+l/zNv/6qJypm4qMVoDvvgPbydunvr766NeYgvvm3cfod4JLGIv6JbvX\nCSGEH/MUO7vNQse2sTXkNoT51OgdLFt7ACwWfuw8hB86DzHuVVnBd8+8Te+F7xJZZiwc6pw2nY5n\nDqZT+YWcVnw3N423cdM4KP9hBbxxcns6zTX6ikon5RWVNeQOTmGJ9PU3NRLohRDCT5yp+b5jcqzP\nGvjVMffRl5VX8v3aA57n7S6Z7D333w84/ev/AuDAgvVvtxMXHUabhAgibH245OAtbGkFZ82Afa88\nCc6Tt1qeuY8eoKgegnRRiWxQ2tRIoBdCCD/mfvqM9sevzYNv0/3uzDzPvPT0lFh6zfqd59y4X78g\nrjgPgLV9zwClAOjimga4MWUY/13dk4lbYPDw9Sxe+NyJvZka+Af6ujbfh5m2Ba6PLwuifkmgF0II\nP+am++pG3PszB/qvVu3zHJ/erx0kJ+Ps09cnvwML30+Z5XneJdU1Es9iYcfEadz+PfxnPlyx4q/c\n/839OJxVFiE9IZWVDnIL6yfQR5m2BS4slhp9UyOBXggh/KSZ+uQDLXUbSKipef/nTd5FREf2aweA\nZewYn/xf9xhFzOABnued23sX9vlp4LkQE8PZu+Dnf1ayZMtCJr09iZyS+ltQJ6+wrEqvQF0DfWS4\ndx+AQmm6b3Ik0AshhJ8xQzty+YQe3Dx9EJ1Tg1tZzzwYz61dUhSpbVxL5Y4e7Ul32EMouv1OLjqn\nqyetfZtoz/GufCdcfrlxj6wyllZeRqf4Tgx9ZSibjmyq8jpHsospr6hdjT/br9ke6t7sbrF4FxPK\nKyir0z3EySOBXggh/ISH2rn43G6cNTA16GtCAwT6lCTTsrmjRkFXI7Bbb72FiZedS7RpMZ/W8RGe\nQX/7jxTApZd6zoUsXsqzE57ltpG3Meq1UXysP/ac+/T7Hfz+wUXc8vS3tdrm1r9/HupeozeP1s/O\nl53Im5qg59ELIYSoXkhI1XpTknlDnYgIWLYMduyAIUOq5LVaLbRLimJ3Zj6HjxVRPuhMQmJjIS8P\nli6FigpmDphJj6QeTHlnKt/1/pH7zrmbF/+3DoAdB3I5cKSgymY71QkUkOsa6MvKvYG+pKyS4tIK\nnx0EReOSGr0QQtSDQE33Sf4757VuDUOHgqXquvngbb53OOFgTimce65xIjcXfvoJp9PJLz9G0OfQ\nQ7y64gOGPz+eCoo91x/OLjpuOd9ZrLnqocV8trzqtiN1DfSl5b7dBoFaC0TjkUAvhBD1IFDTfVJc\neICc1Wvf2ttPv/9IAYwd6z35xRe8t2QLC5fvItyZwLDC+8nJsrMs6jaKLcbKdIeP1Rzoi0srePuL\nzRw6VsSWPcbAvj571vG7le8SWVpYLzV6kOb7pkbaVoQQoh4EDPT+NfrjSDUNyNt32DfQF3y0gLfy\nvaP0rYTQp+RP7LV+wKrQG5i5+TwKtv4JRmRUe/+9h/Ixd+PHF+Zw94cPEl5RSq99G1kz9q1alRfA\n4XBWGQgYaKCfaDxSoxdCiHoQqOm+VVztAn2VGn2nTtClCwCRa38hqqQAgIkjM4iJDMGChWc/2ckb\n84t4s8t8HI+fC+PGgdYB77/7YJ7P80E7VxFeYQTlAXvW0mb5l7UqL0BZgGVzpem+aZFAL4QQ9SD0\neIPxgtC+jXcg3f7DRlB31+qtTgejN3yJ1Wrhiok9+duMIZxmyeaMLcuYtAWWvAGzx8D9pYtw9ukN\nzz9f5f67Mn0D/Wk7V/k8H/76HCir3fS4QNP6pOm+aZFAL4QQ9SDU7lujj4oIqfXI8+iIEM/yu/uP\nuAK9az49wCUr36FXtIPwUDu9OydxT9Y3WFyr3jjC+vHF2wks6ArTJ1dQcuN1sHEjew/lM+/zzew9\nlM+eg95dwm2VFQzYvcbn9RMz98ALL9SqzP798yA1+qZGAr0QQtQD/z761rWszbu1a23Mvc8vKie3\noBSGDuXYxAsBiC4tYtqyeUbGPXvgLaNPvSQskkcn3srdF8/ly9JLKbfCuOlOsu+ZzRPzVvHOYs3f\nX/vRp0bfc/8mosqMwXt7WnXwFuDBB6GgIOjylkqgb/Ik0AshRD3wb7pvVcsR925V+umBby+5nhK7\nUdPvvfh9GD8ehg2DCmOU/C/nXkRheDTFoRFk3/ME//myFYMOwsjkBRSvXQQYg/vcATijXSwj9ntr\n8x+cNoXlXYYZT44cgWeeCbq8ZeXSdN/USaAXQoh64F+jr23/vJt55L27n35tcRjvDrvYm+mLL+Dg\nQeM4MZGdF8/0nPr7/M38u89vePILmLUKFiQ9wtifH6NV/lEAknMyuXLpy5y3+SvPNb92Hcy8EdNw\nuOf3P/YYZGcHVd5ATfcy6r5pkUAvhBD1wH/UfV0DvXllu92Z+TidTvTubN4fPJVXx16NMznZm3nC\nBFi2jJjO3qb3vYfyWdh3HIdi23DjSvjH504eGLqcCStuJv3ITv4x72b6LXwbW/Yx44LBgylPbM2e\npI6s6HO2kZabCw88EFR5q2u6d/rvmCMajQR6IYSoB1Vq9HVsuk9P8W6Lu+tgLplZReQXlRnb1/7m\nMiw7dsC8ecZyugsWQPfutEmI9LlHhT2EOy+6jw29RjBls53578J143Ppv/5moksLvRm7dIHHHvMM\nGnxnxCUQ4tqJ7plnYI3vYL1AygM03ZdXOCiUfembDAn0QghRD8zb1ELda/RJ8eFERRjBdvfBfPQe\nbxN6t44JEBkJ06bBiBGe9OTEyCr3yYxP4bZxs/nTjGcZmBnJ16/BA6McPDECHO1TjcF8W7fCWWd5\nAv2uyDY4//pX4waVlXD11cZjDQLV6AFypJ++yZBAL4QQ9cBm8x+MV7dAb7FYSE+JBSCnoJTlvx7w\nnOuelhjwmtYJVQO9W2Z8CnNHX0OPo/Ddq/DqAPjb/WfgTPXuzBcR7p0GWHzzbM8iPfz4I7z4Yo3l\nDdRHD3Xf8lbUPwn0QghxEtS1Rg+Q4Qr0AD+sNwbdWS3Qs1OrgPmjXS0A1dk8fByrLrySuLIYnrPc\nxJeV2/jDJ3+g0mEEafN8/2KLHf75T+/Ft98OBw7439LDHOjN3RdFJeU1lkk0HAn0QghxEpzINq3p\n7byB3r02fefU+OMGdDeb1Xd3vNQ2MQya/wphedmc8+wcll6+lJ05O/nd+7+jtKLUN9CXVsDo0Ub3\nABjb5N54Y7WvZQ70CTFhnmPpo286gg70SqlZSqmtSqlipdQKpdTw4+RvrZR6Qyl1TCmVo5T6WCnV\n6cSLLIQQTdO0cd2x2yxMG6tO6D7pphq9W7+urWu8ZvKZxp/Xtq0iOXNAe59z7il77pkBMWExLJi2\nAICJb0/EGuJd9ta9g53jiTk44+ONxPfeg6+/Dvi6ZaYlcONNgb5YavRNRlCBXil1OfAC8BYwFcgB\nvlBKBdwmSSkVAiwGhgCzgBlAZ2ChUir0xIsthBBNz6VjFe/9/XwuHdf9hO7TsW1slS3r+3ZJqvGa\nGef34p6rhvHItaejOib4nGtvmpvvFmYP492L3iU9Lp25e6+hDGPOfnFpBSVlFdwwbxP/Hnqp94JP\nPw34uuYavXv5Op442AAAIABJREFUXpAafVNy3ECvlLIA9wMvaa3v01p/BkwGjgLVtedcDnQDxmqt\n52utPwSmAzFAn3opuRBCNEEh9qq72NVWRJidtq2iPM/tNis9MgIPxPO+rpXTeiTTKi6CTu3jfc6l\nBgj0ADarjZcmvYSKHcjKqLsos+RRXFLBTxsPsetgHstS+3szr18f8B7mUffmGr0Mxms6gulE6gKk\nAR+7E7TW5UqpBcD4aq75DfC51nqP6Zo1QLsTKKsQQrQY6SmxHDxqzHnvnp5AeGjwff7p7YwWAfea\nNammXfH8WSwWZnW7g227C1kReSf7c3tSWWLkPxLbmqKQcCLLS6oN9OYlcH0DvTTdNxXBNN13cz1u\n80vfAXRWSgX6+toX2KyUukcplamUKlVKLVBKdTyRwgohREth7qc/Xv+8v4gwO2ltjesTYsJ8BskF\nEhkeQvfS/yOlfCTXL7+YLYd3AeC0WNnTyvVne//+gMvi+g7G8y4SJDX6piOYr4ju/235fun5GF8U\nooA8v3OtgZnALuBKV55HgQVKqQFa61r9D1BKrQqQLH39Qohm64z+7fnf19uwWS2cPajD8S/wc+3F\n/fjk2x2cO7gjFv8Ofz/uUffdyn5HQnIHntg+k4GWe4h0JrMnqSPdM7cYGdevhzPO8Lm2+qZ7qdE3\nFcEEevf/EP+Fi93pVdc/hBCMQHye1joHQCm1A/gJuBB4r/ZFFUKIlqNDcgyv3zMOq9VSq2Z7t+5p\niXS/rOZ+fTfzgjlj28xg6+4CVkTdybDC+9mVlObNGCDQl5tH3ZsG4xWVSo2+qQjmf0+u6zEGOGRK\nj8YI8oVVroAC4Ad3kAfQWv+slMrBGIxXq0CvtR7kn6aUSgd21uY+QghxKokMD27e/Ikyz6PPLyyj\nTe5YuthhRdSdqHbTvRkD9NNXN4++qFhq9E1FMH30W12P/nPgOwFaax1oi6JtBG5at1O1ZUAIIUQj\nMgf6nQfycDghrXwsfZnOG53fYrt7tl6AQG9uuo+KCMFuMxp7pUbfdAQb6PcCU9wJrnny5wNLq7lm\nETBSKdXOdM0ojFaA5XUurRBCiHrX2rRcr959zHN8QcZ0Opf9lrNmWNiRgBHo/bafNdfow0JsRIQZ\nrRBSo286jhvoXTX2R4BrlFIPKaUmAB8BScBTAEqpzkqpYabLnsJo8l+olJqilJoG/AcjyC+q5/cg\nhBDiBMRFh5HhWnbXYYrjPTMSSSsfzxXr23LOFbDTcQwOHvS51n+t+0hXf7/U6JuOoFbG01rPBW4F\nLgPeB+KBcVrrHa4sdwErTPmPACMx+tDfBJ7DWCnvfK11oMF7QgghGlGgKXzpKbFEhtsZemQgty6D\nc66AXT8v8clT6ppHb7dZsVaUc/a6pZy18WsSD+7G8eJLcNFF8NRTUFraIO9DVBX0UE6t9RxgTjXn\nZmAsc2tO246puV8IIUTT1b9baz78ZrtPWttWUSTEhLMrKY3rloDDAufE/JmvR51Fxzhjfn15hVGj\nDwuxwr33Mv3dR703+Lfrcf58eP55ePNNHEOHYbXWPN1P1C/ZvU4IIQS9Mlp5BtIB2G0WWsdHkBgb\nzg9dhlBqD+W6H+H6r4o499VRHMw3mvDdTfehdgu88Ub1L7B9OyUTL+DS2z7i9QUbT+p7Eb4k0Ash\nhCA8zI5K8867b5MQic1mJTE2nNzIeD7vOw6Avyyr5IpDKYx5cwxZRVmepvuuh3cYq+cBB+OSWZU2\ngPwZVxk73/XoYbzGsSN02Kt5/8utZOeXNPA7bLkk0AshhACM5nu3lCRjU52EWGNu/Aen/QZHqHF8\nx9O/cH67UYyfN57CcmPR1NO2eIZp8dHAydw79R723/MoXHwx/PnPnnN99hlT9Fas8x3UJ04eCfRC\nCCEAGKjaeI7da+0nxhrr1x+LTuTABZcAYCkp5ZH3jjG43WCWh95PJaX03+idOf1DlyGAab37s87y\nnOuz1wj03685UOX1dx3M45PvdpBfVFZ/b0pIoBdCCGHo1jGBWRf0ZuzQNKaM6gJAQqx3o5o1F8+C\nWOMLgOXtd3iqfCyRjmR+DbmXxCO7AMju2oujMUbLQFGpay59jx44WhtpPfdvwl5ZzvodR8nO8zbf\nV1Q6uPvF5bz04Tre+GzTyX6rLYoEeiGEEB6Tz+zMdb/t79mgJjHWu6ztwZBYePxxz/OQP1/HkLwr\naZtfxKUXQYUVDp85xnO+sNhVo7dYKBw6EoDwilK6HNqO0wnLf/XW6nMLSsnON6bg7TqQi6g/EuiF\nEEJUy7z17LG8ErjqKhg1CgDr/n2cpVfw8ieRFNth1iTIOXe8J39xqXd1vGMDvWuq9dm7DoDv1noD\nfaFpJT1ZbKd+SaAXQghRrVZx3kCfnV8KVis8+KAnbdyvi+i7T/P+e7ApNYzn+NhzzlOjBw70Os1z\n7B6Qt3FnFjmuWrw5b7EE+nolgV4IIUS1IsLshIXaAFeNHmDECEhJAaDboa3YnA6iymFB2EyWZy5h\nR+hHgKmPHjiY1IHsyHgAeu3bSExxHk4n/LgxE4BC0/71xSUS6OuTBHohhBDVslgsJLqa74/lleB0\nOo1a/dSpVfK2mnwJr503nx2hn7Av5CufgJ1bWM6yriMACK0sZ/SGLwHvNDtz031xaYXxOqJeSKAX\nQghRI/dc+tKySm+z+kUX+eQpiYmHkSPpkpTB0KJ72BT2Or8c+8ZzPqeglIX9vP3356/7HIvTwTqd\nSVFJOUWmGn2lw0lZhWyLUl8k0AshhKiReYqdp/n+9NMpb5XkSd83ZBTY7USG24lxdOC04tv479H7\nWLlvJQB5hWXsSerIutReACRnZ/Lyv67h/Sd+w+HZd1NQXM6gHT8z66tXaJN7SJrv65EEeiGEEDVK\nNAX67DzXLnQ2G1nnTPCkHzjdmFbn3qY2obI74yJuZ8o7U9h8dDM5BcZ1n/U7z3NNct5hADrMfYKo\n1T9zx8ePMHn1p1z19asyIK8eSaAXQghRI3Og377fO8d955XXsyptAJ/1G8/RM0YDEGK3EWI3Qkur\nsgFc0WU24948j0P5xqC7X/ucDu3a+dzfVlnBOfdeQ4jDCO59966jqFDWwq8vEuiFEELUqEObaM/x\nvz5ez9tfbMbpdFIQn8S9U+/hn+deQ2hYiCdPVLhxnJlVxMbvOpOYfzoLy++ighKiY6Pggw/gD3/g\njcnXU2kxwlB4Yb73+rIinGvXNtC7a/4k0AshhKjR4J5tGdqrref5fxZpPvp2h8+AudAQm+c4wtV8\n79Y+dyrRlamsjniSmCg7DB0KL77I2nMuZEWXYQQS8sOKgOmi9iTQCyGEqJHVauFvM4YwbazypL2+\nYAMbdmR5npsDfajdN7RYsNC35E9UWkr4vvx5z9S52KgwPho0OeBrRvy4sj7fQosmgV4IIcRxWa0W\nLh3XnclndAKgotLJd2v2e86bg/v+I4VVryeEQUV/ZU/5Gp5c8SQAcdGhbE5RLO15NpUWKy+f9XtK\n7aEAxK75EWQufb2QQC+EECJoMyb2pEtqXJV0c41+1MD2Aa8NIYrZ3V/kHz/8g/9u+C9xUWFgsfCP\n8Tcw5S/z+XjgZDanGK0G4UcPw44dJ+dNtDAS6IUQQgQtxG7j9iuG0CM90ZNms1ro2DbG8/zSsd0Z\nNyyNm6cPIiUpyuf6TolpfHrpp1z72bUccmz0nrBYANjUroc37bvvTs6baGHsx88ihBBCeLVJjOSx\n684gO6+EzbuPkZIUTZuESM/55MRI/nxxfwB+2pDJwaPepvy46DD6te3Mqxe8yhUfXMkAy0NEOFt7\nzm9I7Qk/uJ58/z3MmNEQb6lZkxq9EEKIOkmIDWd4n3akp8RWm6dzarzP87hoow9+YreJXNb9j/wY\n+RAVFHvO6xTlmXInNfr6IYFeCCHESdO1g3+gD/Mc/3HA9cRXdmV1xJM4qQSgODSCHW0yjAxbtsDh\nww1W1uYq6ECvlJqllNqqlCpWSq1QSg2vxbX3KqVk+KQQQrQwnf0G7pkDfVx0GH1K/kCFpZhNYW96\n0je27+m94PvvT3oZm7ugAr1S6nLgBeAtYCqQA3yhlMoI4trewO0nUkghhBCnpsjwEJ/nsVGhnuO4\n6DBj2l3xbDLtP7AnZDEAG8yBXprvT9hxA71SygLcD7yktb5Pa/0ZMBk4Ctx4nGttwL+AI/VQViGE\nEKeg2f93Gomx4Vw6VmG3ecNOeKiNULuVUGcsQ4rvYHPYW2TZ1vuOvD9OjT6/qIw7X1jG/f9aSWl5\n5cl6C6e0YGr0XYA04GN3gta6HFgAjK/uIpcbgVjg2boWUAghxKntjAHtef2ecUwb190n3WKxEOtq\nyo92pDKg+CZ+iXiCA9GlZCalGplWr4aCgmrv/d6SLazdepSfNh7ivSVbTtp7OJUFE+i7uR63+aXv\nADq7au1VKKW6APcCs4DSuhZQCCFE8+UehQ/QurIfncum8nPkw6xOc4WeykpYWf1yuL9uPeo5/mlj\n5kkr56ksmHn07nkT+X7p+RhfFKKAPPMJV3P/K8CbWuvvlVKnnUghlVKrAiSHBkgTQghxComLCvN5\nnlE2kTzrDu4YsY/xq8ACRj/96NEBr4+O9I4ByC8qP4klPXUFU6O3uB79R8270x1UdTVGk/9f61gu\nIYQQLUBstG+dzYKFPiXXsDe6lMdGuhKXLKn2enOgLywuOxlFPOUFU6PPdT3GAIdM6dEYQd5n9wKl\nVAfgMWAmUKSUsuP6QuE6dmitA305qJbWepB/mlIqHdhZm/sIIYRoWuKjfWv0sVGh5BVCv7K7eHrk\n1fQ7VMn4H36AnByIj69yfXioN4wVl8pgvECCqdFvdT128kvvBGittX9N/1yMLwXvA+Wuf3Nc58qB\nu+tWVCGEEM2NebodQFJ8BAARziTeyDuPy38DW+MqYenSgNfLSPvjCzbQ7wWmuBOUUiHA+UCgn/wn\nwGC/f0+6zg0GXjqB8gohhGhG4vxq9ElxEZ7jPkOn8cCXcMGlkL/ok4DXl5RW+DwvLJZ+en/HbbrX\nWjuVUo8AzymlsoFlwJ+BJOApAKVUZ6C11nql1joLyDLfQyl1uuteP9dz+YUQQpzC4vxq9K3iwz3H\n2YOGc/VaO7+kVHB50nt84HgVi9W3flpS5lujP5pTTFSE7yI9LV1QK+NprecCtwKXYTTJxwPjtNbu\nzYLvAlaclBIKIYRotsw1+ogwO9GmIF1gj4CRI3lmIRywF/P4R7OrXF9S5lujP5JTXCVPSxf0NrVa\n6zl4+9r9z80AZtRw7T+Af9SybEIIIZo586j7qHA7EWHmwXUVMG4cYd98w/vvweAOLzK4//mcnXG2\nJ49/0/1RCfRVyO51QgghGo15Hn1UREjVQH/++QB0yIM3Pw1l+vxp7M/bb8pTtele+JJAL4QQotFE\nhts9+9l3T08kMtwv0PftC+PGATDmp2NcW9qX377/W8oqjTnzpdJ0f1wS6IUQQjQai8XCA1eP4I6Z\nQ5g1pY9Pjb6oxBXEH3nEk3b7Ez+QaIth9uLZOJ1OigMMxhO+JNALIYRoVPExYQzrnUJYiK1q0z1A\n//4wbRoA1pxc3jg0nE+2fMK8tW/jcPgu5SI1+qok0AshhGgyzPvXF5sH2t3o3RU9YfVm5v92Pn9Z\ndAP51r0+12flFON0+q/j1rJJoBdCCNFk+Dbdmxa/6dkTLK4tVjZvpn/b/tw54n5WRTxKBSWebGUV\nDvIKZc17Mwn0Qgghmgzzkri7D5o2Ro2MhLQ041hrcDiY0nkacZVd2BD+ss89pPnelwR6IYQQTUZc\ndBid2scBsDszn8ws075pPXoYj8XFsGcPpWWV9Cm5mmybZl/IV55sWRLofUigF0II0aQM653iOV65\nPtN7ont37/GmTZSUVmIngoHFt7Ax/N8UWPcBkJ1f2lBFPSVIoBdCCNGkDOvd1nO8cv1B7wl3jR6M\nQO+aQx/rSGdk2FWsinicSkrJKZBAbyaBXgghRJOSnhJLm8RIADbtzOJoTjEVlQ7fGv3mzT5z6M9u\nczExjo5sCH+F7LwS/1u2aBLohRBCNCkWi4VhvYxavcMJMx9YxKV3fsbmiGRvpk2bfNa5b9c6mr7F\nfyLLtoFvMj9u6CI3aRLohRBCNDnmfnowtqN9/9dsaNXKSNi82WeL2pSkKE9//cdZc9iStaUhi9uk\nSaAXQgjR5PTu3IqxQ9NIjA3HbjNC1a/bjuDo7uqnP3oUx5EjnvwJMWGEhtiIc3RioPVyps2f5lkP\nv6WTQC+EEKLJsVgsXPfb/rx+zziG9zFq98WllWSnZnjyhG/f6j0OsdGjOJOk/COkFI2lfWx77vry\nrgYvd1MkgV4IIUSTNqh7G8/x9ijviPyoHUbzfN89a1GXXcCDz8zipVf/SN+NK5h73kvMWzePJe/8\nHbp1g5kzweFo8LI3BRLohRBCNGkDlDfQrwzxBvoOP33NgF2reeD9e4n8+QcAQioruO2Tx4j67+e8\nlvJHZvx0B0f3b4XXXoPvvvO5b0tZE18CvRBCiCYtMTacTu2M1fKWRqTjSDZG36evXcHMb1/DihGw\nSyOiAQhxVBA/awajp93JtHVw5WSMHB99BIDD4WTe55uZfvdCXl+wscHfT0OTQC+EEKLJG9TDqNU7\nrDb2nDMJAKujkoyjuwGo7NKV+e98x/Iuw3yue/BL2BcL/xwMfPghJSXlPPLGT7yzWJNfVM78r7b6\nTNNrjiTQCyGEaPL6d2vtOV7Rf3SV847rriOuVRyPnX8Lz4y5lgNjJkPv3oRe+n+8va0fd58N6wt3\n8vRdb7BinXe1PacT9h0paJD30Fgk0AshhGjy3E33AKvCUqBPH8/z/PBo7L+fSXxMGJU2O4v7jOGb\nWx6DdevgzTfpev7lPLYYLp0KbVYsqnLvfYfyG+Q9NBYJ9EIIIZq86MhQWsWFA7A7Mw/HZZd5zi3t\nPw5LdDTx0WGetJx8YxncI9nFPF6QyszV0P0ofNf6C1rFhXPpqHTO3vgVf/jyZTKuvxI++6xh31AD\nsjd2AYQQQohgpKXEkpVbQklZJYen/Z5t876gsqSMz86axhSMRXPc3BvbvL1oM9/lhnFxUhovfLqb\nvn/M5eXIBZx73wrCfvnZe/Op38HatcZUvGYm6ECvlJoFzAZSgTXATVrrFTXkHwE8BAwAioAlwK1a\n60MnVGIhhBAtUnrbWH7ZfBiAXdllPDPhRopLK0iJjQIg3hTos/OMQL959zEAPh04kesWPc8rH8M1\nE5/l1w0QZr55SQn8/vfwzTdgszXI+2koQTXdK6UuB14A3gKmAjnAF0qpjGry9wCWAvnApcAtwEjX\nNSH1UG4hhBAtTFpKrOd418E8zza14aFGYI4IsxMaYhznFJRSVFLOvsPGQLstoy+E6dM5bxtM2ArX\nTYDisEgemXgrh2Nd8/SXLYPnnmvAd9QwjhvolVIW4H7gJa31fVrrz4DJwFHgxmou+zNwEJiqtV6o\ntf4PcAnQDxhTLyUXQgjRoqSbAv2WPdm417sJDzUapy0Wi6dWn5Nfyo79uZ48XTokwEsvQd++PLEI\nVnSA226cxrJuI3lmzLXeF3ngAShtXvvZB1Oj7wKkAZ59/7TW5cACYHw112wA5rjyeS5zPQZsBRBC\nCCFq0iE5GqvVAoDene1Jjwjz9kK7++mLSyvYsCPLk96lQzxERsKSJUTd93fenPAKr0f/jxLLMdam\n9SPr3POMjFlZsGBBA7ybhhNMoHePTNjml74D6KyUqtKZobWeq7V+3i95kutxc+2KKIQQQkCI3Ub7\n1kZ/fF6hd2e6sFBvGDKPvP9pk3dIWNcO8cZB69Zw++0MG3clk9Knszb8OZw42XjWBd4Xeu21k/MG\nGkkwg/HcbSX+Ew3zMb4oRAF5Nd1AKdUBeAL4GfiylmVEKbUqQHJobe8jhBDi1JbWNpa9h3wXuDHX\n6M0D8ty1fpvV4tPs73b76XfwiR7BnpBF/JR2BWckJ8OhQ8ZUu8xMaNu2yjWnomBq9BbXo//q/+70\nGrcDcgX5pa7XukRr3TJ2ERBCCFHvAgXscFONPtD5tJRYzyA9s4y2ifQv/gs6bB7rDm8D99z8ykqY\nN6/+Ct3Iggn0ua7HGL/0aIwgX1jdhUqp3sByjFaBMVrr7XUppNZ6kP8/vF0BQgghWogu7iZ4E3ON\nfvSQjrRJjPQ53zXANe7rMmK70bnsQj7NfZjSS6d5T7awQL/V9djJL70ToKuroSulhgLfApXAGVrr\nX+tcSiGEEALo360NvTq18kkLC/UG+vBQO1dP6eNzvnNq4EAP0DMjkU5lk6h0VnL3/oXQu7dxYvVq\nOHy4/greiIIN9HuBKe4E11z48zGa5KtQSqUDC4FDwAit9dZA+YQQQojasFkt3DRtoE9aiN03lA3p\n1ZYhPY3+dYsFevt9MTAb1D0ZCzb6lVzH3LWPs33cEO/JJUvqr+CN6LiD8bTWTqXUI8BzSqlsYBnG\nPPkk4CkApVRnoLXWeqXrsqcxmuuvBToqpTqabrlba30QIYQQog7aJERy+xWDeeSNn3A6oUd6YpU8\nN00byH+XbiEtJZYOyf49z14DlbFYTrSjPX0sl/D7dt/zlQWsTmDxYpg2rdprTxVBLYGrtZ6rlIoA\nbsBYJGcNME5rvcOV5S7gCsDiqu1PAGzAfwLc7laMEfhCCCFEnYzo246n/jIKh9NJ1w4JVc5HRYQw\nY2Kv494nPiaMLh3i2bY3h8RjYzjS9ReeG27j+uWVRqB3Oo1mgVNY0Gvda63nAHOqOTcDmOE6Lgdk\nmVshhBAnVU1977UxqHsbtu3NwYKNWZ0f5vazxjNhcyVd9u+HTZugZ896eZ3GItvUCiGEaNFO657s\nOc7cG8UdEWP5/QXgsGDU6k9xEuiFEEK0aF07JhAdYTREr99+lOvG3Y0TeHYIzWJAngR6IYQQLZrN\navHMzy8sqeBIeg/+vTSaB0bB9i0rj3N10yeBXgghRIvXuX2c53jHwXy6pA3gtu/hD8OO4szMbMSS\nnTgJ9EIIIVq8TuZAvz8X+vXjLyshNxz+veTxRizZiZNAL4QQosXzCfQHjEBvd8ArH8Nt21/kYP6p\nu/yLBHohhBAtXkpStGe7W3eNHqB/Jlx1LJ3rFl7XmMU7IRLohRBCtHg2q4UM1853Wbkl5KZ3BasR\nIu/+ysG6w+v436b/NWYR60wCvRBCCIFv8/32Y2WgFADhG7fw8rjnuW7hdeSU5DRW8epMAr0QQggB\ndGrvXWnP3HxPZSVn5icyqdskZi+e3UilqzsJ9EIIIQR+U+z250L//t6Ta9fy6JhHWbhtIV/v+rrh\nC3cCJNALIYQQQFpKDDarsYHNtr053ho9wJo1xIbFMnfCXGZ9MouSipJGKmXtSaAXQgghgBC7jQxX\nrf5gViE5nZX35A8/ADBJTaJvcl8e/u7hxihinUigF0IIIVx6mva231QSBl27Gk9+/BGOHgXg6fFP\n8/xPz7P56ObGKGKtSaAXQgghXHpmtPIcb9x5DM47z3jidMKiRQCkxqZy96i7uebTa3A6nY1RzFqR\nQC+EEEK49Mgw1ejNgR5g4ULP4bWDr6WgrIA31r7RkMWrEwn0QgghhEtibDjJiZEAbNuXQ8nwkRAR\nYZz84gtwOACwWW28OPFFZi+ZzdGio41V3KBIoBdCCCFMerpq9ZUOJ1uPlsLZZxsnjhyBVas8+Qa1\nG8QlvS5p8nPrJdALIYQQJj1M/fQ1Nd8DPHDOAyzesZhvdn3TUMWrNQn0QgghhElPcz/9Lr9A7xqQ\n5xYbFsvT45/mmgXXUFpR2lBFrBUJ9EIIIYRJhzYxhIYYO9ntO5wPnTtDRoZxcuVKyMvzyf+b7r+h\nS2IXHl/eNPetl0AvhBBCmFitFpITjQF4R7KLqXQ4YfRo42RlJXz7rU9+i8XCs+c9y1Mrn2Jn9s6G\nLu5xSaAXQggh/CQnRgHGgLysnGJvoAdYsqRK/vT4dG4adhM3fH5DQxUxaPZgMyqlZgGzgVRgDXCT\n1npFDfl7A08DQ4FjwPPAY1rrpr+6gBBCiBbNPcUO4NCxItqcc4735NKlAa+5ZcQt9H2hL5/oT5ik\nJp3sIgYtqBq9Uupy4AXgLWAqkAN8oZTKqCZ/G2AJ4AR+C7wEPATcXA9lFkIIIU4q30BfCElJ3t3s\n1q+HzMwq14TZw3juvOe44fMbKC4vbqiiHtdxA71SygLcD7yktb5Pa/0ZMBk4CtxYzWXXYrQWTNZa\nf6a1fhB4GLhdKRVSP0UXQgghTg5zoM88VmQcmJvvq6nVj+k8htPancbD3zedTW+CqdF3AdKAj90J\nWutyYAEwvpprRgNLtdZFprQPgURgcN2KKoQQQjQM/6Z7wDfQr1lT7bVPjnuSuT/NZWvW1pNVvFoJ\nJtB3cz1u80vfAXRWStmquSZQfvP9hBBCiCYpuVWU5/hQVhGLftjNkwfjKBs8DMLDfYO+n9TYVJ4e\n/zSZBVWb9xtDMIPxYl2P+X7p+RhfFKKAPL9zsdXkN98vaEqpVQGSQ2t7n+OZM2cOc+bMqTHPoUOH\nPI/t2rWr7yIIIYRoIvpNnYM9NJL12w6ycedRLBYr8zuOZv/eXZTNnBnUPW6++WZuvrlxh6cFE+gt\nrkf/0fLudEc111Q3uj5Q/iYhPz+fgwcPBpXX4XAEnVcIIcSpp0v2QeKSO2Ozh3nSIhLS2B1gIF51\n8vP967wNL5hAn+t6jAEOmdKjMYJ2YTXXxPilxZjO1YrWepB/mlIqHajXlQliYmJISUmpz1sKIYQ4\nRTnK/BurISK2NR0yulFRElwAj4nxD4UNL5hA7x5N0AnffvdOgK5mXvxW13n88gPoWpWwATWFJhYh\nhBBNw6ufbOB/X/sPN4MPFnzLaT2SG6FEdRPMYLytwF5gijvBNUXufCDw/AIjfbRSKsqUNgXIwlhs\nRwghhGjSzCPvzbbuzWngkpyY49botdZOpdQjwHNKqWxgGfBnIAl4CkAp1RlorbVe6bpsLnAd8JlS\n6nGgH3B09RxmAAAH40lEQVQ7cJvWuqz+34YQQghRv6oL9NtOsUAf1Mp4Wuu5wK3AZcD7QDwwTmvt\nnjJ3F7DClP8gxlx6uyv/H4A7tNZP1F/RhRBCiJPHHOjDQm2EhxqzybftO7UCfdBr3Wut5wAB555p\nrWcAM/zSfgZGnkDZhBBCiEbTtlUk8dFh5BSUMrxPCkeyi9mwI4tjeSVk5RbTKi6isYsYFNm9Tggh\nhAggxG7j/quHM2tKb66e0ocuqfGec9v31XoCWaMJukYvhBBCtDQZ7eLIaBcHQJcO3kC/ZW82Q3q1\nbaxi1YrU6IUQQogg9MxIxGY11oqzWSzHyd10SI1eCCGECEKbhEj+evlgtu/LYdKZnRu7OEGTQC+E\nEEIEaXifFIb3ObVWUJWmeyGEEKIZk0AvhBBCNGMS6IUQQohmTAK9EEII0YxJoBdCCCGaMQn0Qggh\nRDMmgV4IIYRoxiTQCyGEEM2YBHohhBCiGTuVV8azAWRmZjZ2OYQQQoiTzhTvbLW57lQO9CkA06dP\nb+xyCCGEEA0pBdgebOZTOdD/BJwBHAQq6+F+n7geJ9XDvUTdyGfQNMjn0PjkM2h8TfEzsGEE+Z9q\nc9EpG+i11qXA9/V1P6VUmeu+u+rrnqJ25DNoGuRzaHzyGTS+JvwZBF2Td5PBeEIIIUQzJoFeCCGE\naMYk0AshhBDNmMXpdDZ2GYQQQghxkkiNXgghhGjGJNALIYQQzZgEeiGEEKIZk0AvhBBCNGMS6IUQ\nQohmTAK9EEII0YxJoBdCCCGaMQn0QgghRDMmgV4IIYRoxiTQCyGEEM3YKbtNbX1SSs0CZgOpwBrg\nJq31isYtVfOllGoFHA1war7W+iKllAX4G3A1kAQsA67TWm9uwGI2W0qpycA8rXWMKe24P3OlVBjw\nCHApEAV8AVyvtT7QgMVvFqr5DE4j8D7jc7TWt7jyyGdwgpRSNuAGYBbQEdgNzAWe11o7m+PvQouv\n0SulLgdeAN4CpgI5wBdKqYxGLVjz1s/1OA4Ybvp3uyv9buBO4AngEiAOWKqUimvgcjY7SqkRGP/X\nLX6ngvmZvwBcDtwGzMT4HD9z/eEUQarhM+gLFOL7OzEceMaURz6DE3cX8HeMz2Ay8B7wD+BW1/lm\n97vQomv0rm9u9wMvaa3vc6UtBjRwI3B9IxavOesLHNJaL/I/oZSKAW4B7tVaP+NK+w7jW/eVwJMN\nWdDmwlUDuQF4ACOYhJrOHfdnrpTqjPGHbZrW+l1XnrUYvysXAB803Ls5NdX0Gbj0BdZrrVdWc718\nBidIKWUFbgIe11o/5EpeqpRqDdyilPonzfB3oaXX6LsAacDH7gStdTmwABjfWIVqAfoCv1ZzbhgQ\nje9nkg18g3wmJ+I8jBaTW4Fn/c4F8zM/x/X4qSnPVmAD8rkEq6bPAGr+vQD5DOpDHPAGVYOxBlpj\n/Iyb3e9Ci67RA91cj9v80ncAnZVSNq11ZQOXqSXoC5QopZYDAzH6658BHsf7mWz3u2YHxrdlUTc/\nARla6xyl1L1+54L5mXcDMrXWhQHydEMEo6bPAKAPUKqUWgP0BPYAD2itX3edl8/gBLmC9p8DnJoE\n7MMYpwXN7HehpQf6WNdjvl96PkZrRxSQ16AlauZcTWc9MZoub8H4YzYBeBgIB8qBUq11md+l+Xg/\nL1FLWuv9NZyO5fg/81iq/p6483Q48RI2fzV9BkqpdhgDv7pi1PqzMQZ6vaaUcmqt30A+g5NCKXUV\nMBqjq7ZZ/i609EDvHgzjrCbd0YBlaSkswERgj9ba3ZLylVIqGvgr8BBVPw/3dfJ5nBwWjv8zDyaP\nqLscjGbfX7XWB11pS1xfAO7BaG6Wz6CeKaWmYwysex94DuNLVrP7XWjpffS5rscYv/RojA/Mv2lG\nnCCtdaXW+ktTkHf7HIjE+JmHKaVC/M5H4/28RP3K5fg/81yq/p745xF1pLUu0lp/YQrybp8DnVxf\nhOUzqEdKqRuBNzH62qdrrZ0009+Flh7ot7oeO/mldwK064MX9Ugp1U4p9QfXKFezCNdjNsY3Y//p\njZ0wBsyI+reV4//MtwJtlVIRNeQRdaSU6qaUusY1Mt8sAijG+AIsn0E9UUr9HWMGz5vARaam+mb5\nuyCBHvYCU9wJrm9y5wNLG6tQzVwY8CLwf37pU4EtGKNhS/D9TBKAUchncrIs5/g/86WADWPQkjtP\nV6AX8rnUh/bAPzHGqwCe6b8XAt+5Kh3yGdQDpdQNGE30TwMztNYVptPN8nehRffRu1ZBegR4TimV\njbEC0p8xBsU81aiFa6a01juVUm8DDyilHMAm4GKMQD9Fa12glHoWeNB1fgtwB8agyFcaq9zNWTA/\nc631dqXUf4GXXQuHZGMMoPwV+LBxSt6sfAt8D7zgCiwHMVZm6wucDvIZ1AelVArwKLAOeAcYqpQy\nZ/kZY+pjs/pdaNGBHkBrPdfVBHMDxiI5a4BxWusdjVuyZu1KjNWp/gKkYAT7qVpr99zVv2GMkbgF\no99rOXCF1rpJ9n81E8H8zGdifAF+FKM1cAnGsp8yBfUEaa0rlVIXYKzYdj/Qiv9v5w5tAIShKIo+\nhmAMxiAsT/CdBgQGgcM9ztF1zc9N+pMmR5J1jLE/jrqDb7bcr4pLkrdvzucUzsJ0ntbQANDq7zt6\nAKgm9ABQTOgBoJjQA0AxoQeAYkIPAMWEHgCKCT0AFBN6ACh2AdPv6v/5zYUUAAAAAElFTkSuQmCC\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -4172,7 +4178,7 @@ } ], "source": [ - "u=2\n", + "u=34\n", "unit3=df_test.query('UnitNumber=='+str(u))\n", "print('RUL is '+str(RUL[u-1]))\n", "rul_dict={}\n", @@ -4287,12 +4293,34 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [] + "execution_count": 60, + "metadata": {}, + "outputs": [ + { + "ename": "ModuleNotFoundError", + "evalue": "No module named 'rpy2'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mget_ipython\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmagic\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'load_ext rpy2'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\u001b[0m in \u001b[0;36mmagic\u001b[1;34m(self, arg_s)\u001b[0m\n\u001b[0;32m 2144\u001b[0m \u001b[0mmagic_name\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0m_\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmagic_arg_s\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0marg_s\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpartition\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m' '\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2145\u001b[0m \u001b[0mmagic_name\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mmagic_name\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlstrip\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mprefilter\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mESC_MAGIC\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2146\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrun_line_magic\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmagic_name\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmagic_arg_s\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2147\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2148\u001b[0m \u001b[1;31m#-------------------------------------------------------------------------\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py\u001b[0m in \u001b[0;36mrun_line_magic\u001b[1;34m(self, magic_name, line)\u001b[0m\n\u001b[0;32m 2065\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'local_ns'\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msys\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getframe\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mstack_depth\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mf_locals\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2066\u001b[0m \u001b[1;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mbuiltin_trap\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2067\u001b[1;33m \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2068\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2069\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m\u001b[0m in \u001b[0;36mload_ext\u001b[1;34m(self, module_str)\u001b[0m\n", + "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\IPython\\core\\magic.py\u001b[0m in \u001b[0;36m\u001b[1;34m(f, *a, **k)\u001b[0m\n\u001b[0;32m 185\u001b[0m \u001b[1;31m# but it's overkill for just that one bit of state.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 186\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mmagic_deco\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0marg\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 187\u001b[1;33m \u001b[0mcall\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mlambda\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mk\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mk\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 188\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 189\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mcallable\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0marg\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\IPython\\core\\magics\\extension.py\u001b[0m in \u001b[0;36mload_ext\u001b[1;34m(self, module_str)\u001b[0m\n\u001b[0;32m 31\u001b[0m \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mmodule_str\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 32\u001b[0m \u001b[1;32mraise\u001b[0m \u001b[0mUsageError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'Missing module name.'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 33\u001b[1;33m \u001b[0mres\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshell\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mextension_manager\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mload_extension\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmodule_str\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 34\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 35\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mres\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;34m'already loaded'\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\IPython\\core\\extensions.py\u001b[0m in \u001b[0;36mload_extension\u001b[1;34m(self, module_str)\u001b[0m\n\u001b[0;32m 83\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mmodule_str\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32min\u001b[0m \u001b[0msys\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmodules\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 84\u001b[0m \u001b[1;32mwith\u001b[0m \u001b[0mprepended_to_syspath\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mipython_extension_dir\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 85\u001b[1;33m \u001b[0mmod\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mimport_module\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmodule_str\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 86\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mmod\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__file__\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstartswith\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mipython_extension_dir\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 87\u001b[0m print((\"Loading extensions from {dir} is deprecated. \"\n", + "\u001b[1;32m~\\Anaconda3\\lib\\importlib\\__init__.py\u001b[0m in \u001b[0;36mimport_module\u001b[1;34m(name, package)\u001b[0m\n\u001b[0;32m 124\u001b[0m \u001b[1;32mbreak\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 125\u001b[0m \u001b[0mlevel\u001b[0m \u001b[1;33m+=\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 126\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0m_bootstrap\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_gcd_import\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mlevel\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mpackage\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlevel\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 127\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 128\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m~\\Anaconda3\\lib\\importlib\\_bootstrap.py\u001b[0m in \u001b[0;36m_gcd_import\u001b[1;34m(name, package, level)\u001b[0m\n", + "\u001b[1;32m~\\Anaconda3\\lib\\importlib\\_bootstrap.py\u001b[0m in \u001b[0;36m_find_and_load\u001b[1;34m(name, import_)\u001b[0m\n", + "\u001b[1;32m~\\Anaconda3\\lib\\importlib\\_bootstrap.py\u001b[0m in \u001b[0;36m_find_and_load_unlocked\u001b[1;34m(name, import_)\u001b[0m\n", + "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'rpy2'" + ] + } + ], + "source": [ + "%load_ext rpy2" + ] } ], "metadata": {