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path: root/Metrics/Metrics-Calculation/metrics_plot/Measurements/Measurement1/src/BoxPlot.ipynb
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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import statistics\n",
    "import os\n",
    "import sys\n",
    "lib_path = os.path.abspath(os.path.join('..','..', '..', 'utils'))\n",
    "sys.path.append(lib_path)\n",
    "from GraphType import GraphStat\n",
    "import readCSV as reader\n",
    "import constants\n",
    "import DistributionMetrics as metrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getModels(folderName, numberOfModels):\n",
    "    filenames = reader.readmultiplefiles(folderName, numberOfModels, False)\n",
    "    graphStats = [GraphStat(filename) for filename in filenames]\n",
    "    return graphStats"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "domain = 'yakindumm'\n",
    "mpc_guide = getModels('../input/{}/MPC/'.format(domain), 100)\n",
    "na_guide = getModels('../input/{}/NodeActivity/'.format(domain), 100)\n",
    "od_guide = getModels('../input/{}/OutDegree/'.format(domain), 100)\n",
    "nt_guide = getModels('../input/{}/NodeType/'.format(domain), 100)\n",
    "composite_guide = getModels('../input/{}/Composite/'.format(domain), 100)\n",
    "composite_no_violations_guide = getModels('../input/{}/Composite_Without_Violations/'.format(domain), 100)\n",
    "violations_guide = getModels('../input/{}/Violations/'.format(domain), 100)\n",
    "human = getModels('../input/{}/Human/'.format(domain), 304)\n",
    "model_types = [human, composite_guide, mpc_guide, na_guide, od_guide, nt_guide, composite_no_violations_guide, violations_guide]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "type_map = {'Entry': 0.04257802080554814, 'Choice': 0.1267671379034409, 'State': 0.1596092291277674, 'Transition': 0.6138636969858629, 'Statechart': 0.010136036276340358, 'Region': 0.04467858095492131, 'Exit': 0.0018338223526273673, 'FinalState': 0.0005334755934915977}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import rep\n",
    "mpc_rep = getModels('../input/{}/MPC_REP/'.format(domain), 1)\n",
    "na_rep = getModels('../input/{}/NA_REP/'.format(domain), 1)\n",
    "od_rep = getModels('../input/{}/OUT_DEGREE_REP/'.format(domain), 1)\n",
    "rep = mpc_rep[0]\n",
    "rep.na = na_rep[0].na\n",
    "rep.out_d = od_rep[0].out_d\n",
    "rep.nodeTypeStat = type_map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Helper Functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "def calculate_ks(dist1, dist2):\n",
    "    value, p= metrics.ks_distance(dist1, dist2)\n",
    "    return value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "def mkdir(path):\n",
    "    if not os.path.exists(path):\n",
    "        os.makedirs(path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot Config"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "labels = ['human', 'combined', 'mpc', 'node activity', 'out degree', 'node type', 'combined_nv', 'violations']\n",
    "output_path = '../output/{}/'.format(domain)\n",
    "mkdir(output_path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Draw diagrams"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "def drawBoxDiagram(title, target, types, distance_func):\n",
    "    distances = []\n",
    "    for distributions in types:\n",
    "        distances.append([distance_func(target, distribution) for distribution in distributions])\n",
    "    fig, ax1 = plt.subplots()\n",
    "    fig.set_size_inches(5, 4)\n",
    "    ax1.set_xticklabels(labels, rotation=45, fontsize=15)\n",
    "    #plt.title(title, fontsize=20)\n",
    "    plt.boxplot(distances)\n",
    "    plt.savefig('{}/{}.png'.format(output_path, title), dpi=500, bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# draw mpc\n",
    "mpc_types = []\n",
    "for models in model_types:\n",
    "        mpc_types.append([model.mpc for model in models])\n",
    "drawBoxDiagram('MPC', rep.mpc, mpc_types, calculate_ks)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# draw node activity\n",
    "na_types = []\n",
    "for models in model_types:\n",
    "        na_types.append([model.na for model in models])\n",
    "drawBoxDiagram('Node_Activity', rep.na, na_types, calculate_ks)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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rbm52K1ascGPHjnWLFy/O+5iGUWwqKircggULMsoWLFjgKioqEpKotKgaKv5x0JhNQfVVr/KBgkXhjZ6HiNDU1MSgQYNay7Zt28bgwYML4htMO+YDTREzZ85kzZo17N69mzVr1pjy9CxZsoRJkyZRVlbGpEmTWLJkSdIiGZ6Kigrq6+szyurr66moqEhIIiNXcskDNXo4lt6VbmbNmsXcuXMBmD17NvX19cydO5fZs2cnLJnRKYX2CXT30x0fqJGdiRMnuhUrVmSUrVixwk2cODEhiYw4c+bMcRUVFQ5wFRUVbs6cOUmLVDIwH2jh6K4P1NiTsrIytm/fzoABA1rLdu7cSWVlJbt3705QMsMwH6iRciy9yzCKgynQPkBdXR01NTU0NDSwc+dOGhoaqKmpoa6uLmnR+jwiktOnt5NrPXT0GTZsWMnltiBSHyAKFNXW1ramd82bN88CSCkg3uUsVHe2J5HL9aa1XswHahgpIq2KImkKUS/mAzUMw0gRpkANwzDyxBSoYRhGnpgCNQzDyBNToIZhGHliCtQwDCNPep0CtVmHDMMoFb0qkd5mHTIMo5TkZIGKyIki8rSIrBeRi7NsP05E/iIiu0Tk9Ni2c0TkWf85p1CCZ2PevHmcffbZrevL1NbWcvbZZzNv3rxintYwjD5KpxaoiJQBPwSmAxuBR0VkqctcnvhvwLnARbHfDgcuB6oBBzzmf7u1MOJnsm7dOpqamrjppptaLdDzzjuPF198sRinSz25jqEuxcgXk8XojeRigU4G1jvnNjjnmoFbgVPDHZxzLzjnVgMtsd/OAO5zzm3xSvM+4MQCyJ2V8vJyamtrmTp1KgMGDGDq1KnU1tZSXl5erFOmmmzzF2Yr7+uydCSfYXRELgp0JPBS8H2jL8uF7vy2yzQ3N3P11VczduxY+vXrx9ixY7n66qtpbm4u1ikNw+jD5BJEytbfyfX1nNNvReR84HyA0aNH53joPRk5ciSvvvoqmzdvBuCFF16gvLyckSOLprMNw+jD5GKBbgQODL6PAjblePycfuucu8E5V+2cqx4xYkSOh96TrVu30tzc3Dov4LBhw2hubmbr1qK4XA3D6OPkokAfBcaJyFgRKQfOApbmePxlwAkiMkxEhgEn+LKiEC0NO3ToUPr168fQoUMZNGgQTU1NxTqlYRh9mE4VqHNuFzAHVXyNwO3OubUicqWInAIgIkeJyEbgDOB6EVnrf7sF+BaqhB8FrvRlReOyyy7j+eefZ/fu3Tz//PNcdtllxTydYXSJ4cOHdzrzfGczrw8fPjzhqzAietWEyiLC4MGDGTFiBH/7298YPXo0mzdvpqmpyaKqnjRN2JsWWUopR4EmBk5FvZWStE6o3KtGIg0ePJimpibKy8tpaWnhzTffpKmpicGDByctmmEYvZBepUCHDRtGS0sLb7/9NgBvv/02AwcOTGSxKcMwej+9ajKRTZs2cf311zN+/Hj69evH+PHjuf7669m0KdekAcMwjNzpNT7QXIbnpe1akyBN/rO0yFJSOa4YWqDjvFmY46SUYjzP5gPtAOdcxmxMxx9/PCtWrKCmpsaW8DVSg3zzrcIEka4ojDxpJQ0v1lzoNQoUMtc/j/6a8jQMo1j0mi58nLR0D9NGmuolLbJYGlPfwNaFNwzDSBGmQA3DMPLEFKhhGEaemAI1ikJnY75zGffdW8d8d1YvnX1sYEh66FVR+L7O8OHDc5q6r6Mcu2HDhrFlS/fne9m6dWtBgiWFIJd66exchaqXzurEAkQ9C1OgvYg0Ka00YfViFAvrwhuGYeSJKVDDMIw8MQVqGIaRJ+YDNXo97vK9uz2Jh7t87wJJY/QmTIEavR6bwMMoFtaFLyJLlixh0qRJlJWVMWnSJJYsWZK0SIZhFBCzQItEOLXelClTWLlyJTU1NQA2O5Rh9BJymo1JRE4E/gsoA250zl0d214B3AIcCbwOnOmce0FExqAreT7td33EOTe7o3P1ltmYJk2axGmnncZvfvMbGhsbqaqqav2+Zs2a4pw0RZP1pmnWoTTJkpbz9EUSmVBZRMqAHwLTgY3AoyKy1Dm3LtitBtjqnDtERM4CvgOc6bc955w7vJBCF2LEDRRudEk21q1bR1NTEzfddFOrBXreeefx4osvFuV8kC5fnwVujL5ALl34ycB659wGABG5FTgVCBXoqcAV/v87gR9IEYduFGJkCRR3dEl5eTnHHHMMtbW1rRboMcccw8svv1y0c6aJNClzwygWuQSRRgIvBd83+rKs+zjndgFvAvv6bWNF5HEReVBEju2mvD2GHTt2cNttt3Heeefxj3/8g/POO4/bbruNHTt2JC2aYRgFIhcFms1Mi5sW7e3zMjDaOXcEcAGwWET26JeJyPkiskpEVm3evDkHkdJPRUUFBx98MBdddBGDBw/moosu4uCDD6aioiJp0QzDKBC5KNCNwIHB91FAfJ3g1n1EpD8wFNjinNvhnHsdwDn3GPAcMD5+AufcDc65audc9YgRI7p+FSlkx44dPPPMM8yePZs33niD2bNn88wzz5gFahi9iFwU6KPAOBEZKyLlwFnA0tg+S4Fz/P+nAyucc05ERvggFCJyMDAO2FAY0dONiDBt2jQeeughhg8fzkMPPcS0adP61Kw+Nu+l0dvpNIjknNslInOAZWga003OubUiciWwyjm3FFgE/ExE1gNbUCULcBxwpYjsAnYDs51z3Q57FyLC23qcIuGc47nnntsjCl/sFJXuKuhCKa0c0+NKuphbdyiWMs8mV7YyS21KJz1yVc405Qe2R2VlJaeffjpPPPFEaxT+8MMP584772T79u1FOWcupCnPMC2ypEWOtDBjxgzuu+8+nHOICNOnT2fZsmVJi9VtbFXOHsSsWbOyRuFnzZqVtGiG0S4zZsxg+fLlGb775cuXM2PGjKRFSyVmgRbx+mtra/nxj3/Mjh07qKioYNasWSxcuLBo58uFNFlbaZElLXKkgX79+jFhwgTWr1/fet8ecsghrFu3jpaWlqTF6xbFsEBNgabs+otNmq45LbKkRY40ICL069ePESNG8Morr7D//vuzefNmWlpaenwdJTKU0zCMvkVLSwuvvPIKQOtfIzs91gfa3RSZYqXJ5Hpuw0gzw4YNY/Xq1ZZK1gk90gJNW4pMSLZzWhfR6EkMGDCAN954g8MOOwwRYcCAAezcuTNpsVJJj7VADcMoDrt27eKaa66hqamJa665hl27diUtUmrpkUGkXEiT1WeyZCctsqRFjjQQuZciqzO0Pnt6HVkeaAoZPnx4Tv7OjrYPHz484aswjMwRUJHSDLvu5rvfkx7pA00ThZibtC/cmO1dY7y8VLO+51LW0y2urhJd77777psx0fjw4cN5/fXXkxIr1ZgC7SY283pupEkZpUmWpMh1VQeALVu2tPsCLOaqDj0BU6DdJM0zr6fJ6jPSxZYv7QYK8eLeXYBj9Fx6jQLNpVtWLEWR1pl+TDEa7SHffKsgxxk2bBhbrijIoXokvSaI5Jzr9JPkeTva3pe7QEYytHcvnnDCCYCOiQ//nnDCCXbvZqHXKNA0UltbS2VlJaDT29XW1iYskWG0j4iwfPlygNaJQ6K/y5cv7xPBzq5iCrRI1NbWUl9fz/z58wGYP38+9fX1pkSN1BL1lgYNGsSYMWMQEcaMGcOgQYMythtt9NpE+qTI9S2dtno3DND7t7Kyknvuuad1JYWPfexjbN++vcffs5ZI3wMI/Z5NTU0Z/qKmpqbWfQwjrWzfvp077riDbdu2cccddyS6gkLaMQVaJCoqKqivr88oq6+vt2WNjR7Bddddxz777MN1112XtCipptekMaWNWbNmMXfuXABmz55NfX09c+fOZfbs2QlLZhjtM2rUKLZs2cLOnTtbx8IPGDDAhhu3R45pOCcCTwPrgYuzbK8AbvPb/wSMCbZ93Zc/Dczo7FxHHnmk6w6LFy92EydOdP369XMTJ050ixcv7tbxusOcOXNcRUWFA1xFRYWbM2dOYrIYRi4sXrzYjRgxwo0ZM8b169fPjRkzxo0YMSLR56hQoKsI56Tzcv3kojzLgOeAg4Fy4ElgQmyffwfq/f9nAbf5/yf4/SuAsf44ZR2drzsKdPHixW7s2LFuxYoVrrm52a1YscKNHTu2VzS+YZSKNBkhhSQpBfphYFnw/evA12P7LAM+7P/vD7wGSHzfcL/2Pt1RoBMnTnQrVqzIKFuxYoWbOHFi3sc0DKN3UAwFmksQaSTwUvB9oy/Luo9zbhfwJrBvjr9FRM4XkVUismrz5s05iJSdxsZGpkyZklE2ZcoUGhsb8z6mYRhGe+SiQLMlNsbzcNrbJ5ff4py7wTlX7ZyrHjFiRA4iZaeqqoqVK1dmlK1cuZKqqqq8j2kYhtEeuSjQjcCBwfdRwKb29hGR/sBQYEuOvy0YdXV11NTU0NDQwM6dO2loaKCmpoa6urpindIwjD5MLmlMjwLjRGQs8Hc0SHR2bJ+lwDnAH4HTgRXOOSciS4HFInItcAAwDvhzoYSPM3PmTECHUTY2NlJVVcW8efNayw3DMApJpwrUObdLROagAaAy4Cbn3FoRuRJ1yi4FFgE/E5H1qOV5lv/tWhG5HVgH7AK+6Jwr6gSCM2fONIVpGEZJsLHwhmH0CWwsvGEYRoowBWoYhpEnpkANwzDyxBSoYRhGnqQuiCQim4EXC3Co/dAhpWnAZMlOWmRJixxgsrRHIWQ5yDmX/0idLKROgRYKEVlV6Ihbvpgs2UmLLGmRA0yW9kiTLCHWhTcMw8gTU6CGYRh50psV6A1JCxBgsmQnLbKkRQ4wWdojTbK00mt9oIZhGMWmN1ughmEYRcUUqGEYRp6YAjUMw8gTU6A9CBEZkLQMhmG0YQq0h+CV559E5DtJy9ITEZF+/m9/ERmYtDylQkQk2/9GYTAFyp43VkpvtApgOfAVEbm00AcXT/R/oY+fNM65FhGpAO4FjoLiXqeIlBXr2F2Qob9fGaJMRAYBeyctUy6IyCdF5OIiHXuPdunOfZDLkh69GhEpi8+S71KY2+Wce1tErgLeBq4QkRbn3PxCHFtEBgMXAC+JyC+cczsLcdy04ZzbISJVwPnAQ8VqZ6+4dnml9VlgNLqUzQbn3FPFOGcWGcq8DEOAm9DldHaKyKNAHfBGGu9z3zv4BHCoiNzsnHulgMdufdZF5LPo6hnL/ErCedGnLVAR6RdU6OUicqOI/FhE9lh6OUki36dz7m3gd8AtwFUi8uUCHHsI8CdgBjCQ7Cup9ngCy+Nq4AgROapI55FAcT0GXISuE3YjsFBEzivGeeM453Z7Bf4n4F3A/wC/Bk4Cfg9MTWNPwzn3DrAYmAQcC23ul+4Qe9Z/AVzmzzG0Wwcu9ELzPeWDH0Tg/78d+D90UbxN6GxQ04H+KZPzZ8D/Ag3AP4AWoK4bxx6AKuQVwHigLH7Onvppr+1QS+xV4PJinhu4A7gfmODLxqALNG4FqkpUB18Enohk8GW1/r45Nel2jp8/bDPgZqAR2L/A57wZWO+f732zbO/XpeMlWYFpaDjg3ejb+SjURzQSuA94BTg5DUrUy3kFOp3XdC/nEcC1/mG4NM9jHuhfFjVRnWR7qJJ+0LpRZ3sBX4grLODrwMuhYinweQcCq4GvRvcPcBqwG7jAfy/6fQX8CPhL8P3T6OKOF/vvg5NuIy/HxLgy8/X1PHCm/94lxdbOeaq8Uv5UcL/v718mn47qoyvnSrzyEm64bwMPod2cfYPyvdBVSF8BPpa0EkW71f8D3BUr3w+Y55XoBXkc9xj/2w/47/1j2wcB5Um3U47XElnPFdF34JP++h5Hx1K/F6gE3udfHOeGvy2QHP1Qa7MJ+IQv+4yX4+vB/fUVYFyx7hf/90rgUf//TC9DpDwHoL7R2Qm321G+LZ4GPg6MDrb9PpI/vK5unOtDwHbfPoO94vw7+jJ9G/gLMKhLx0yy8hJuuKFol3g98GRQHlkMkRLdiDq1E1GiwcNwC9p1r4htHw9s8A/HFTkes5//O8zfvPXBdUeKqD8wBw2CpNoCBYYAFwLVwXXd7evmUOA/fB09C9zpH6DfesXarRcEmb2ZfsH/93sZalDLsy7Y9kngnkjeAlx/1pGKi2YAACAASURBVBeAv293o93W5kiB+22HAQ8CF6ag/c4GfgpsQ3t/X/LlRwPPAF/J45hZrUjgD6gb5Y/AG8B/A+8HzgA2A6d16TxJV17CDfce4D/9zfWDoDxUoo/4RixJd6eDhv8qatVM99/DB/cOYI2/Afbr4NiRMo6U5EDUMnsa+NfguvsBE/xN9tWk2ymH6zkA+IV/iRzvleX9BP4zf01zvOL6B/Ck3//z8frswvmj+urv6/Jdwbbz0JdTC3BlIMN4YKVvs0J0SyMZKoGpqNvpINpekt/3Mvyati7qB4GHvQItmPWda3v5/wcQs/bQbvuNwE7UL/8tNHXvp8QMh07OUxb8PxoYFXwfivY8LwD+JSj/IPAcMLVL15TkA1DChmv3JvFKdKF/6L6b5cYcTNCtKJWcaLBjIvCeoGwZ8BIwJZBvJGrpnAHs3cGx9/LK8i7U8j7Flw8HHkCV6A1ANTAbfXGsIiU+4HauKVRY4/1D1wz8KazPePujllk9msby2+60FWr93oX6PF8Ffgwc5rdd5e+r36G+67m+Xp8I2q8QSnQI8JQ/f4tXBD9B3RhCm6/8XjSd6gnUbTWgs+ejSO12uq+zP3hFNijYVunv+6V+e4v/HJrHeW729/V21NKsDraFvYV3+3t/LXBAl86R9ENQgsYKldJc4HrUn3gGMMKXjwJ+4G/272X7bQnkDBv0FmAd+iZeBfynLz8A9Qu9CVznH9DfoH6cgzo49kDUeb4afaM/4G/K76MJ+sPQgEPkCtjgb+BEHrAc62uCv6aj/Xfx1/WO/0z25e1F4/sD09Bu4yl5yjAItfwb0B7C+V6mJ9FART/Usr8XVdYPA4sILNduXH8Ysf6Fl+F49EXybdQ19TBtiv6TaOrONahbpqy7MnRB1tDy/KRXaHf5e3Gnv98Piv1mMDAZfdF9PcfzhM/6An8fXwx80z8zdwPHx34zB83CeQ0fC+jStSX9IJSw4W4F/oZaCEuBF1Cl+R6/PVKiTwM/SlDmH3s5z0K7NP+ORk6XBA/e99Du9Qtod7DdhvcP8Vlol/a9vqwSmIUqy2uDsiGoBfoe2rrHqbRA0eDD+f7/SNFPAU7wD+Y7wIc6ugY0ArsG+FqeMtQAf0XzCSOFdJGv10/H9h0de8C7Xa9or+IsrxRPD8oHA2eiSvQm2nFPUHrLcz/g39BE/v7+cyrqmro9rkSz3cs5nme0V5xnBvfxP6MuleWREkVfNjd7xZpXalniD0KJGu47aAAhskrm+Jv8BdR0f7cvH4l2fR4n6B6WUM5DUOvlM/jgBurs3w78HKgM9h0O7EPH3fZKf8P8Crg9fiOiFlMLgS8onxs24batQF+Is4KyowIlenRQvh+xbhxqlf8gx3PFXQHfA54Kvn8GfdmF0fbR8bpsT6HlKEN4nAtp6+J+KpTRK9Hv+vv+wO6etwDt9FHUOFkPfDa27aRAiYZR+Hz80l/29fEKbfGC6H4/PlCix/qyYcDQvK8rqQotYcON8cpnpv9+sb/J/x/qF9mOdhMiJXpA9H8Csk5EAxwf99/HA6+jIzMG+bIZXTzmH/0NtRoY4svEK49BqAX7E/899QrTyz8g+P8Qfw2N+ICQL4+U6NuoVToBDZr8ym8vAz6HDqCYmMM5w8yFI/z//4G6T/qjXfYwTagcfXH/a6EUF23WVCX6MtgH+Ab6org+2C9SohO8TCemoM1O8+30Nm3pY633nFeib6LBrrHdOM8R/n7eBfyrL+sfU6LrUV/wsd2+rqQrtgQNJ8DngRGoGf8K8IVg+2Nol/k2goBNQrJW+ZvoZDRauMXLFSm+E1D/baf5g+zpvmgBvgTsFdtvBfCbpNspj7oaTFuS9Yf9g/dMTIlORq3TKLDyeEz5vpdOuo1hXXrF9Qrqv9sLOBEN6t2B+vK+GvxmIuqDvLjA193f3wNX++8HAfND5R3seyKamXFc0u3l5ZnhFddGYFpQHim3k/11nJTj8drLWDkM7XVtBz7qy8qC88xADYpuB4cTr9QCN1CHPh3gUjQoE6Y1NPgH74+lUqAdyYkGGd5GuzSLIoXnXwA/8w/vPh38fi80q+DH4QPlFUkTajVFCvl9qA9vYdJtl0cdXuUftihx/mg0oBZXogeg1uEs2iyzAV04T/TQ9Ucj6b8hiAiTGeGO/OnVXnmu7OyezPPafwmsCb6PRMf4t/h2n4nmVv4RHT6aaBCQzJf5SWhP4AmCgE5QzwfleMzQnzwZ9X9PCcrGo7m+77SjRLuUMN+uHElWbIEbKazQk1Hn+nti+ywCXgi+74v6XY4hy7jYEsh5PvA14Jyg7Eg0V3GHv9kqaOuWvEoHww/RaPuTqK/pT+gb+B68Pxe1XFrQdI1fo6OwWq0yUp4wH7vWkahVGaaeTc6mRNur/y6cqwJ9ef0RuCdLOy5ALdE16GiWtX7fgmYx0PYCGI+OnvlKsO09qCW63bfxd9AASUUhZeiG7KESPRnNmHiSdvIu6cCdRKYf+GdotL3ZK8s7aBtZNy5QosfF6rAwbpUkK7VIDXUbbRbcm2jAaD+/7Qh09MGv0O7srWiXbGQCN9Gd6IiIjf6Gv4M2Z/+xXsbdaBBgnf90mGYBHO4VyIGof+wjaBfuQXx+G20J5zfju8C+PJXR9ni9BWWVaADwzwQ+a69Ef436RP+9QG11AJqT+BrwQFBeEfx/kr/Xvon617udJpTtYUf9hvugFu+vY/uPROdMaAZqg/JUDMfNokTv9+2Uk18/fh+gsYtopOA0ND3rFfQlFgWMJ/pnqQU4puDXlHSlFrhRTvCVN91X3H97JXQZbVbYGWj0fSOafHxYKWQk861ZhVqIk4GD/cP3OjqMbWzsej7nb452A1voqI690Sjwr8jMEZycRYn+Bg2enEMKczyja/J/2+12oxbGdmJpSGgA6SH0BZlPJDfstg/1/49CX3LvAN8I9m1XOXWnbmnzuw5G83XPi22f4ZXCqbHykaj12UIeQyDzkPM7eH9sV67L//9x/7ye3clv9qhHNPn9L2gPLuwNjEUDe78Lyj6ABmK7nIzf6fUUu4KL3HjxtJITgO9naeAWNFo5zJcN9hXdri+xGPL5sivRoWl3kjkC48NeiS4HxnfhHENQP+5fvVL+HbFRLl6JvoIGjKK0mntQi2o2BfIHFbDeqlHrMvLVDkBdDb8Ezort+z30RTgxVl4VXH/OSjT4TTk6aOFy2nowo1Drdi3BGPLuKMrYuSvJjBj3R1+wjWiX/U+oL3ek3/5LrxiGkvmCjrrzLcAXi9hOFWjSfgtwSRd+FyrRMZ3sO9jX+bGx8pFoTzN0Y0T3/QleprOCbUWxwhN/WLrReGEjXIkmwT/klVOrs9hvj5RoHV0cqtUN+fZoeDSt5E/onKO/CMojKytSoneTw1RraHfuPn/d36Otq3JFuI//e5Tf9qNg2/+ieXF558EVqe6+RWDl+bLP42d1R/1nx6Evj4mob7jG7zcg9rvcpyZrewDLUQvnFdSveQEw3G8bjVrwa8hUot2dKWggak190X/fC83COMpf5wR/3idQZXouamFvwAdeyLTEou58UabsC86zDxqc3Q1c1oXfxbvj7SX7j0f9nINj5UPRXtVtxHK2UZfLq+QxQ1mXr7/YJyhSo4XK8VZfWX9Bgwdv0JYkG+4XvZG/Sgm6rR00/DSv9JqB/xe/JjSa3IJaF+1Gi/0DdxIadY3yEt/jlU/GHKHBsavi1473u6bx46/xMnzWhFdq/4JGtzehivRIdCjgBnwPI89zRV3maFz5En9PbUCHe8aV6K/RIMgVBbzeKDH+G2iu4kpi/nk0RWc+qsBX0RZ53+NFUcz7PPZsjUV9vy3Af3S1zjs7R/D3Unw+t//+ZTTfc07Y9qjV/jT+pVrUe7TYJyhCw4WW5xD/8ByNvgk/iDr7XwKOzNLQl1PkN3KswaOHsg74TLD9I2hXvRE/Z2Tsd0cB7+uoDmibDON5AgsSXb7hyixKNKy3smI+XN2su3C01Sx0YMENWRTJ52nLv2wkmFmpG+cuQ9PEVqH+1aH+c5ev67gSfQh9SRYsewFNR9qJGgMHB+XxuVo/gE7K8Rd//WPi7Vyi9vo0GgxaTtuoqE7Hrsfux/PJEo0nM2f3XajL6Y/AJ4Pyhb6+/gtNkj/O64SXyTElqlvXX8rKLnDDXYt2Px8nc/jXuCxKNDFlgXYnXs/S8NNQf2VWJZrDcQ9FZ2dqHcYXu9m+ib6dv5N0W+VwLUPxVrT/vnf0QPmXwdPoNGd75OmiE14vR3263WpntNv8OPDtLNvuRjM7LqTNJ7o/efhZO5HhJq+sd6Nd+srY9njXdz+//zcKcf4uyjrdy/l1tCcwFbWGO1wlIaY8v+j3/4z/Xoa6ssKXR7RtAto7+COZY/8vQVPadqPB4WfJY2KQvOqg1JXejcYKLcmB6JDM1b7C9gn38Ur0IbT79aESyynx/9HJJqKG/1SwPVKiq4kFR3I811i0m/csseF6Xol+H/Vzpja/E/XjfgK1YmpQ63ojmb7aeahFdiNtQ277BfW7X/B/d9KG+qHpYqF/OpqTIJp8eh26rtBe4e8KWB9D/fVc7hXCXGBgO/tGmQq3oC6FkhgKQV1/29+7Yfc57AFd1N5v/f+1/hrPC8om+Gv5GWp83O3v7yj4OREN4j0Se5YOQXuiH6aE81gk/gDl0XhRKs4+6ExFW4HfZ2ncQ3zjrqELk7F2Q65+Hd3AqO9qXRYlOtWXPYJaQF1SduhwxPtRBR1XosOC+kizEp2ABsD+ina97kNHXoVduHm0WaKREo13a7scbc9Sfrl/YONW/b6oz/MZNLh0VLHrFQ0CRUo0UuQHEJt+D31J3kUXRlgVUL7n8W6NoHwsOgKqhSDFrB3l+YUsx70ItShfRF+mVb48CrZGSjTjWUrk3k3y5Hk02OVolzda6XBvtAvwd4KJcQOlcTBF9oOQJT3C31i3oIGIM2kb4veBdpTocXRjXC76srgffWHskZScZuUZyHgUmpbyDkFKDJnJ6vO8kt3DJ9rFc0XR9gq06/lPtM0NOx7NlHiQzG7ioahlNAp9Kd9agjoRf8/vRANHp/h75yXaJoT5kJfniGLLk0W+zxKs/RTbdg3qumoh1gukLfhTEysPFexjfp+78XM/+OuN2i5Son8gj95bweogqRPn2WBfRB38DwZKdCgahduYTYkWWZ4BvgF/HJTd6W+cZb6BN6LWQXQTRJboH+gkgbiLsrwX9QW+Er9h0/ohGGmD5u79DPVlriMYRRRTolcCb5HnJB20uXmGoFb/S769NqPBjHJ0RNcjaCT8dtTfvhb4s//trwh6PUWuI0Et0Gj6xYfItMyHELMAC33+4P99UPfCwKDsLn+PHx0ot4FokPNr7Lki6gx0hOD57d0TaArgQnS5nefQ1MT3Re0X3DcT0GyM+4hNklOyeziJk+bYcO0tlHUO+nb6QxYl+jzwUAllHIGOdnoNfeMORpOvjw1upjmo0m+gbajmRLSruhyfLF4ged7n5UllhD0ma1Q/g9AX4xj/fZJXUI0ESeAxpXFud64RtTz/5NtqOtozuMQrqe/7farQ7Imn/P12K/rC7O9/eyOBHzaP6xb2dEF05AI6HJ2zoV94nBK219mo4fIyOoz0Kl8+Ak0nex1NOfssmir4OplB0zCV7qNduO65XoneEihRwQfXUMPh4EJcY171ktSJu9BwBxPzV/kHKFKih/qyvVHfyVpKmNuI5l5eheafLvdyxScxOQ/1310c3EiH4meIL5JcqVWiZFqBj3sl1TokzyvRX3ol+m++7N1ohPcjXblGsvi/UXfBX1H/cyTLNK9A/zW2b6uiQ/2gP0Wj3vms0RNd317o0jL3oSOJvkwXgmClblt0bP8OdNKUi9FUqy2+jSr853rUYn8HnR4yn2U4TkAV9XSCxRH9OaN1nqLn/b9Q90ai7qlEH6QcKvdbqHV3dLyi0BzBl9G333hftjfdSKbuhpwHeCX6IkFeJoF/FJ1OLlrsLPU+yRLUWQUa/HgA9TtGQZJIkUz0D+gLqFvkYTS4k7PlhS5XeyN7diPP8Moymh8hvm77PsDhsd/MQN0yG+Lbunjdg73yfgzt5i5DXyIPkLIJrf3LYx8v4zUEqx+gftfnCWIMqC/+fWRO95frrEo/9c/Ps15Z/5zM6e4u9tvWenl2dqcdClZHSQvQXoX67wf5ClvTjhJdhDqxV1OEiQI6k5NM/9Bor0R3Azdk2febaAQ3VcMmE2zrY1CL5aSgTGJ/3+cf3Af9A9Wl6eHQxPctaG7l+KD8KNR39lE0ETxUnuIf1p/F2wqdZ3NMntcbXdPVaCDovcG2ei/DJ+L7J/1BreUXyQzs3eWVZzRt3KSOrjmHc9yIvpiitYoWoSP17okp0Rq0F3Ibea5hVPD6SVqAoHJCa21fMhd7W41fgZFMkz+6Ge/J98bOQ87w/PuTOfnDKDRSvA2/zo5/IPdF/UZ/oJ2cvr72QZd42Eks4TlQNJGyrEADO3nleaKJ75EPLer+7YW+lF/yD+olvrwf6lp5APUlR+fssmWIKv89ekOoVf2r4Po+hb50L/TfUzOxi7933+2V25d82b1oFz1SnuP99Rydw/HKiblUUMv+D/gZ6tGk/Gb/bL+FX2002L8fJU7X6vCaEm6ggcA/xcpu8Mry/9DUjUp0fssnfflH/e/2Que0/DQlsurItDh/5GV6EPW9DvblB3ol2oJ2O+9B/VxbKcHUeT3lg/q5duADDbG6HYgGdcbFftOVPM9wSOil/t4Jo7njUQv4VXQ007vQJTAeQXMY+3f1nMH5hqDdzSdpmwGszH8agMW+7Gwyrd9KNMvgjATao93rRHsBTf5+Xg980JeXoysc/LGze9tf+yPoCySM4n8AHfDRHw1AvQl8zm+LXCu/BD6W9D2b9boSO7G+3a5H025O8GX/hXYN5qOzK72D+r8O8J9VaHSvAZ2a7U2KGIjpQPZ5aLfmW16WZ9EuZjT92ii0O/8C6sM9ghKMy03jh44jrMtR6/DAoEzQSO1qfAAp33OiAwluQl9gb/uHMbREx6MuokZUmT+OBna6NZO8VxYn+Xv5D2SO1DnfK6Pvo3mOl9Bm6U5BX8gFS2/LUd7w5TUZnez4xKCsCh0x14JfURN94dT4Z3BOjnUyC7UqF5E5lePe/u+9flsUQxjjn5/t6LwHqbHOW2VP9OTazVmORmFPRs32U4PtM3yF/w9tic7/iQZkfkUOqykWSM74DEY/IkgCRqOBf/WNHCnRg9D8wQ0EEcW+9CEzL/BMNNp8Et4CQef9XOvr6Aw0qf0UNE3o4XwVmD92JTr12/2ou2Cyb7ctMSU6BJ2E5jQ0r7BgaULo5BbPoOlS+/qy8agPsRn4uS8b4JXUw/55SCSDAp2g5R9ob6kFNQqikX9T0aT2Fi/jKjT/M/SNdja7Un+0x7gtixLdDx0Q862g7Cg0fexU4JCk7+es15S4AG1DEdei3fbItxJZEdO8Er2LzNSGkixTQKbP82h01NC1ZE5+UYHmDP4VTbyOlOiBeMXf1z5B+0UJ61HkuQVNko6G5x2JRlXfQS2y9ahV310r8GivCD4WK6/z5a15hVl+m3c0nMw5Rc9FAyQtBIsB+nt6qb+vr0N7WY+iMysVdB2lLsi9L+oX/hJqCZ/p62k5fpUE9EX4GXR+3VqyLAqXS/3ElGjYnb8ZHdBwJDrg5Ab0ZVr0odh511vSAviKG0fbdFjhfH/hWs6vo879Mb6s1NN23UHb0LQWNCcuXDojUqJr0O5OIiMj0vTxD9wjqLvlYF/2KBo0uT1UYKiFc5JXfN22AmmblfyQSJZg23W0rQuVNYLczeveC31hrPBK4Peoi+APtHVP34d25+/zyvziQPmWOkn+BH/+3xAMkUWHuEZLzbS7lHZHypPsGSuVgRK9CW+JohOBNPi22YT6p0syq1LedZe0AEGlHozmBT5Ppv8laoAT0ejfqBLJE1qe56EBgZlo8OMx1O95Lpm5bOWo7/PPpZIzzR/USmmgbULkX6Pd9f/wSvRW2snl6+ihzPHcA/39sigs83+Po62r2u60a3meV9CXayNtw3crgU96pfAHgqVk4tdJkS1P1Of6L4Gs7/KK/hXg4WC/SJlHqyTcQxdTBWPP0DBiq0Gg1uw7aIJ8ZHm/C53ndCY9IG6QuACxCo2686vbUaIldyL7N+U3gG8GZfuj/qqn2lGiJVkiOe0f1O/4Lf//f6NBtWi1xEvRLvsN+HlbC3he8e1wBTqufm5s++mo9XluMRQWOonMn2NlA9CUpWa0Ox/5RAu6zG4ndXIA2gOojm2b4RVkC0EAK3jujvYvnIfJMeMl9kz8N+qPfh01Lj5FmzsjUqI/JcVd9XavM2kBslR8NLPQU/jofIKyvJ+2Lvu3fVkUMX2Xv6HWoCtnpmoUSVo+aPR1qH8pfpm2dcr/Be3CtQDz8jx2h11ddJjtbV6J3owGiU5D027CwQ6FWhQuUjjfRSP6o2LbK2nroq6mgPMg5CBbdN9G3eWpZC4pcxzaVX+G7KskHEs7E4B0ct5foBkrl6IDG1b4dr8qeIl8Go3m30kPy5NOXIB2Kv0QNLDwd3yCbQIyRDfc8ahj+y+0BT5CJfqgl7OkqSc96YMOy4xbN2ehaWAf7EwRxo41hKAriE5GssdCgUEbvQftQbzoZdjqFWi3k7HbU7xeOUXLace76DehwZNfFEpxd1Fm8XW4AXVLhcryeLKvkhDPQukoZzT0dVb7Z+OM2D4/QANos/z3CtRNtoksqw6k+ZO4AB00xPvQ9KWSzLTS0c2MdnGa0EDSQeGNgo7U+F2p5OyJHzSocg/ajfuIt2b+F/hZsE8uk2j0R/2qP/FKuRINNFwYV1SxNir3D+k0/1AXIkgV+QgrvcI8G3VZRDmNF3sl+g3aZlOvQlcQCNfHSipl6TCvQNtbJeEpcpys2LfvfGLLhKMDFFpoC/yG0xJG/vDIIu5PMNa+p3wSF6CThkkiVenzqOWwwD9sUdT0Yx0oUeu+d17HZ3jlEUVY/5yPAkNHor3tH/K/oV3C/Tv5zR4WU3cUV6CAh6A9k8i6fQ3NOoiGIc9F/byr0cDjc2jXvmRLb2S79mB7e6skHI+60Tahwd3O8jsvRgcrxNdvGov6PcNpCSMXzjFoZsL0pO/NbtVx0gIk/SGzy/FLtMvxDDrT02voiJFoHs9IiS6hj1uc5DivZax+3wt8HF0DqSw8TlfaCk22b0atz1OC7SV7kaFW7QNegR+LzotZi1puL9G27MhHUOvsFnQNoajeSqVEo/NNR4ccX0XmDPztrZJwIsGglhzOEynGc4IXyAhfPw3Ah2P7n4xG/nv08ObEBUjLB03veBlN24ic2wvRbsZ1tK3EGOUX3tyVh783fQLll9O8lrRjwXRFiQTnFHQC5idR6+bu8OFs71xFqINJ6EicM4Ky/l5hrkEDjFmDRMW+b9CZv8Ig2Xn+hfMMOm/tK2hPKsqRjZToSrKMw++oTsmc6Posf/zrgxfIB9HRX/fhl95A875v9PVUsgXgilLXSQuQ2IXvOTXeLWRZmAuNqL4GnBaUTaOE0+el8UMC81qiAaPJwffpaIDvbvaclKao1ijq3nkLPx0fbfOZ9kfzXF/Fj1YrtiwxuYagc0q8BXzPly1Drc/IMvwams70v7S5oyaho8DWksf8EuiEIx+ibd7OG2gbBnqUP9+rXsFGC/MlPp9nt+s7aQESuejMLmbkxL6LzETicHq9VcDSpOVOw4c2C7Pk81qi8x9sQ7t/kcKaESjRD/myd/sHuSAR3WzXgCaGbyQzUT9cObOFBGZVCs5/pVdWN6OZIvHcz8+hvtlraOt+H0YQ4OrC+QagA2Bu9d+/lUWJHoS+8K5A4wxjk76XC1LXSQuQwM0VKs+r0O7OoehMMZvIjJBG/qM7gPuTlj2h+krNvJao1fsUail9PFBYJ3jr5gHfnivRwE63Lb/gHugXPx7aNd4J1MXKp/nzT0mw3cJVEt6ibdWGcJq/G72i28OV0tUXH7r213r8oAjge+gyNjcU6kWWxk/iApT0YjMDGneg/s1LvTVxoH8AHyTTmb4P6ghfRB6LiPXkDwnOa8megaloEbFBqL/uuZgSPR7tJj6FWqORYu/OxCBRtH0vdNjpfeh48ch3uB9qwe1ELb1TfV38kW7OJtVdmf3/B3ol2gz8JCiP6uZUNBKedVKVdo7fXu7rfuhIs5uDsu+i3fUf4X2ive2TuACJXLT6gDahAaMwN22yfwgbvcK8BM1FfZOULCFQ4npKdF5L1OI8J/gedTUjJRq3RPdHLa+8Zq+PnTtSnhWoX3AVmrv4tL93It/ncHRI6Iv+Pvkb6nMs2axKZBoGA8My2ib43gH8d6xtL0fdEKPzOOexWco+S+AX9mXzURfL9+mF6X6JC5DIRet6N/9DZipO9MCM943e6N+ey4H3Jy1zwvWVyLyWtK2HflFQFinR4V6xP45aUuWx3xbC8hyAujBuBUaiqUv7oRP/vu6Vd6So9kGj2YdSgET9POX+pFfyS1D3QuTfD1dJ+J1XZt9G/clfy+M85/hj/ZZgeCc6AfLj6HSPYXT+chKY+LwkdZ60ACW/YI2SrgTuDsoyEo5p66INpoeNzS1kPfm/JZ3XMtYOh6IR5TfDB502K+trXqb/IxaFL8D1l6Pd9bVo1z30nQ9GR1a9ho7pr8zy+5JaW2hP4R3UL92IWuc/JXOVhHmo9bwTne8zXLe9K8ulDER7GcvQl9gqNDe3v79XtvVWhRn/9KPvsRv16R0qIocDOA+AiJwMnCsiw5xzTc65dxKUNTGcc7tEZC80Uvs5VFGtQCOpvxWRoc65+4Gvoikyh6APzi/RVKOdItLfObc7l/OJSJk/rwtk+Cs6bvpnwGUi8jVfHrVJGdpbWIZOvFtIhqCKeyCqhHZ7Ofs755rQkVWPoC+Wj0fyB7K3FFiep6tPfwAAB3tJREFUDEREYkUfQH2NZ6CTpixGXVI3icgQ59xGND/zp6jB8KJz7lf+WP3Ceu8M59w7zrmV6JRzn0PzPH+A9jwEdWd8U0Qqu3GJPYOkNXgSHzTnbRs6U084qe++6MP6ALFxvX3tQwnntaTN2h2Ezoh+Fdrti5KxRwE/RH2ul6JBnQ8ADwFn5nPOHOV6F9rdbcKvsppF3kcIejOlapvg/5HohCkXAOcG5QPJvkrCWGKjggok06fQQFo0e9mfKeFsU0l9EhcgsQvXXMJ30C7nVagldQ/6Ni34LOU98UMJ5rWkzYc4BO0ur0UtmFf95/OopXkA6rfbSdtomlUUf1TPCNSN8BywICgPJxNJJDiC+iI3oEGa3QSjj/z2cJWEXxObrKMQcmd5cR6Hrt3eJwaaJC5Aohevo0mW+wf2WTQ40OeVJyWe19IryF97a+59aEBmtLectkeWFbA3OjTwUuBfKdG4cjS6n02Jhn7RoitRMi3Po9Ax9/+JDm19Ch2KfC6ZqUzl6IxQL1PkpYGDl2Fq1m0v9ie64D6L99NUol3W7a4P+jxFpMxl8VWKyFQ08n4FOulxS7DtJsChdfe5bL/vwvn3Q/2rS5xz345tuwMdXz7JOfdqrrIXGhHZH/g6OqHMQ865LxT7nB3I8gHUzzkN+Ipz7h8iMgLNLBmCul5uidpLRCrQTJJVScncW+mLQaQMnHPbnXNvOOe29lHl2d85t1tEKkVkqoicLSKTRWRv51wD2gW8ArhUREb731ShaUwNzrlP+9+XtX+WTtmB+hP3C+Xy/34VfbnV+PKM4EkplKc/zyuoC+FhYG8RSeTZEZF3o72Cn6NpSv/w8m1GZ9t/Cw3qfSaS0Tm3I1KeScndW+nf+S5Gb8VHX3eJyBA08X1fNGdwC7BeRD7hnLtaRByaAnO6iOxEu9hvoT5SoNuKrBl1BXxERKqcc43OuV1+2z9QBdvfnyexLpNz7hUR+QrwpnOuxddfUaPtWWT4PxE5EY2mH+Wt0dV+26si8gk0nawODSRdH/t9SeXt7djbqA/jlUA5mhD9BrrA1/7oePLBwJ9F5N3Oue+g3cW70CDP7cBRBbA8Izl2oH66Q4ErRGRCsPndaBT8VciavlNSfE+lJMqzvWt1zi3Hz7uJTv492jnnRES8m+MMNNj2djHlMzAfaF9HRCaho1O+4py7w5f1R2cM/yFqac6Iuoqx3/YPLMVCyDIDzSN9Gp1q7TU0baoFr7ALda6045VhlJt8JJqFMAod5/+6c65JRD6GzulwDzpa68XodyIysC+6pEqNWaBGJRrdfhtARMq9UvxfNB3lEP/Zw39WSOXpj7cMnVPyWXSaulPRPNTJhbJ2ewqB8vw8qiAXoRH3R4FLRORA59w9qLX5MeA7IjIm+l2kPJO22Hs7ZoH2IUKrJigbhqbALHPORYGacudcs4gcgE42cWZknZZIznI037TcObfVlxXU2u0J+CyI36Ld9PvRtvgu8M/o8NJLvV92BmqZ3ocuVbxHb8EoDmaB9hG8AnIi0i+0JL2C+gbwORGp82XNfnMVmmv4cilldc41Ox1GGylP6WvK0/NBdIq425xzq51zW3z61GJ07PnJ0Gq5fwL4rSnP0mIWaB8gCnj4se03otH2JtRvtt7nYV6MLkXxc3QSjcHoImkOnbqsz/gfkyDm8+zvsyOuRdcROsCXV/iAGyJyHzqy6EMdHcsoLmaB9nIC5VmBTrhxCOrvrAIeEpGTnHOvoZNyzEKnrrsFXbLjLeAjfc3/WGpiyvNE4Esiciga3BsoIl8AzVbw7g3Q+RoOFJGh8eOZ8iwdpkB7MYHyHIDO1fgUGpg5E42yPwn8XEQ+Dmx1zv0EnaTjOHSZjJNcF2dVMrpOoDzPRXNrD6dt+ZJHgM+KyKl+32b/MnsXOg5+lwWKksO68L0cb7Hcji4luwk40bVNzTYYTYOZjI6h/r1zbnvs9yVPFu+LiMhH0KGYVwC/8COLEJGjULfLTnTehgfRORzqgK86536YiMAGYBZoXyDV81oarVSjAaM70PzXaJz/o+gAh7+gs8wvRZPoL4uUp1mgyWEWaB9ARN6FToRxPrro1xxfHgUrBqGTebzunDs5QVH7LH5ylmOdc+P891al6LMnRqPT1h0IbHM6QbL1EBLGLNA+gB/eNx+1Mk8SkQW+fJdXotuAj6Jr/BjJsAYYIiLHQJtf1CvPKtQK3cc590ygPMWUZ7KYAu0jeJ/afHQ8+2kxJVrmdFaqFputJzF+i7pZviwih0Cr8ixH5yE4G11IrxWLtiePzcbUh/CjVuajuZ0fF13X6AthhN0smmRwzj0rImeiE0vvKyK3oQvDHQdcCFzunFubpIzGnpgPtA8iOjnwd9A5OM8ypZkeROSf0BVOR6Ht8zxwo3PuWr/dkuRThCnQPoofA5/YvJZG+4jIPmh3fQiwxTn3ki+3dkoZpkD7OPZQ9gzM8kwnpkANwzDyxCKuhmEYeWIK1DAMI09MgRqGYeSJKVDDMIw8MQVqGIaRJ6ZADcMw8sQUqGEYRp6YAjUMw8gTU6CGYRh58v8BK8/mLIxUmhIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 360x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# draw out degree\n",
    "out_d_types = []\n",
    "for models in model_types:\n",
    "        out_d_types.append([model.out_d for model in models])\n",
    "drawBoxDiagram('Out_Degree', rep.out_d, out_d_types, calculate_ks)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "def manual_ks(pdf1, pdf2):\n",
    "    result = 0\n",
    "    sum1 = 0\n",
    "    sum2 = 0\n",
    "    for(a, b) in zip(pdf1, pdf2):\n",
    "        sum1 += a\n",
    "        sum2 += b\n",
    "        result = max(result, abs(sum1-sum2))\n",
    "    return result\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# draw node type\n",
    "types = rep.nodeTypeStat.keys()\n",
    "rep_type_dist = [float(rep.nodeTypeStat[key]) for key in types]\n",
    "node_type_types = []\n",
    "for models in model_types:\n",
    "    type_dists = []\n",
    "    for model in models:\n",
    "        type_dists.append([float(model.nodeTypeStat.get(key, 0)) for key in types])\n",
    "    node_type_types.append(type_dists)\n",
    "\n",
    "#since we already know the pdf, we can compute the ks distance manually\n",
    "drawBoxDiagram('Node_Type', rep_type_dist, node_type_types, manual_ks)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# draw violations\n",
    "violation_types = []\n",
    "for models in model_types:\n",
    "        violation_types.append([model.violations for model in models])\n",
    "drawBoxDiagram('Violations', None, violation_types, lambda a, b:b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}