{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "from IPython.display import display"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import tqdm\n",
    "import numpy as np\n",
    "import json\n",
    "from matplotlib import pyplot as plt\n",
    "from sklearn.metrics import roc_auc_score\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/denis/anaconda2/lib/python2.7/site-packages/IPython/core/interactiveshell.py:2718: DtypeWarning: Columns (8,12,13,14,15,16,50,51,52,53,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  interactivity=interactivity, compiler=compiler, result=result)\n"
     ]
    }
   ],
   "source": [
    "srp = pd.read_csv('survey_results_public.csv')\n",
    "srs = pd.read_csv('survey_results_schema.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "devtype = set(sum([s.split(';') for s in srp.DevType.dropna().unique()], []))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "features = dict()\n",
    "features_nuinique = dict()\n",
    "features_conctated = dict()\n",
    "for key in srp.keys():\n",
    "    lst = []\n",
    "    max_parts_num = 0\n",
    "    for s in srp[key].dropna().unique():\n",
    "        if type(s) == str:\n",
    "            parts = s.split(';')\n",
    "            max_parts_num = max(max_parts_num, len(parts))\n",
    "            lst += parts\n",
    "        else:\n",
    "            max_parts_num = 1\n",
    "            lst += [s]\n",
    "    features[key] = list(sorted(set(lst)))\n",
    "    features_nuinique[key] = len(features[key])\n",
    "    features_conctated[key] = max_parts_num"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sorting_features = []\n",
    "group_features = []\n",
    "continius_features = []\n",
    "categorical_features = []\n",
    "\n",
    "cat_max = 50\n",
    "for fname in features:\n",
    "    if fname[-1].isdigit():\n",
    "        sorting_features.append(fname)\n",
    "    else:\n",
    "        if features_conctated[fname] > 1:\n",
    "            group_features.append(fname)\n",
    "        else:\n",
    "            if features_nuinique[fname] > cat_max:\n",
    "                continius_features.append(fname)\n",
    "            else:\n",
    "                categorical_features.append(fname)\n",
    "                \n",
    "sorting_features = sorted(sorting_features)\n",
    "group_features = sorted(group_features)\n",
    "continius_features = sorted(continius_features)\n",
    "categorical_features = sorted(categorical_features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "51"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(sorting_features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "51"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(categorical_features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "18"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "psevdo_categorical = \\\n",
    "    ['WakeTime','YearsCoding','YearsCodingProf',\n",
    "    'StackOverflowRecommend', 'StackOverflowJobsRecommend',\n",
    "    'Age', 'StackOverflowVisit', 'StackOverflowParticipate','CheckInCode',\n",
    "    'NumberMonitors','HoursOutside', 'LastNewJob','HoursComputer',\n",
    "    'SkipMeals','Exercise',\n",
    "    'TimeAfterBootcamp', 'TimeFullyProductive', 'CompanySize']\n",
    "\n",
    "len(psevdo_categorical)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "convert_psevdo_categorical = {\n",
    "    'WakeTime':{\n",
    "        'After 12:01 PM':13,\n",
    "       'Before 5:00 AM':4,\n",
    "       'Between 10:01 - 11:00 AM':10,\n",
    "       'Between 11:01 AM - 12:00 PM':11,\n",
    "       'Between 5:00 - 6:00 AM':5,\n",
    "       'Between 6:01 - 7:00 AM':6,\n",
    "       'Between 7:01 - 8:00 AM':7,\n",
    "       'Between 8:01 - 9:00 AM':8,\n",
    "       'Between 9:01 - 10:00 AM':9,\n",
    "       'I do not have a set schedule':None,\n",
    "       'I work night shifts':0,\n",
    "    },\n",
    "    'YearsCoding':\n",
    "      {'0-2 years':1,\n",
    "       '12-14 years':13,\n",
    "       '15-17 years':15,\n",
    "       '18-20 years':18,\n",
    "       '21-23 years':21,\n",
    "       '24-26 years':24,\n",
    "       '27-29 years':27,\n",
    "       '3-5 years':3,\n",
    "       '30 or more years':30,\n",
    "       '6-8 years':6,\n",
    "       '9-11 years':9},\n",
    "    'YearsCodingProf':\n",
    "      {'0-2 years':1,\n",
    "       '12-14 years':13,\n",
    "       '15-17 years':15,\n",
    "       '18-20 years':18,\n",
    "       '21-23 years':21,\n",
    "       '24-26 years':24,\n",
    "       '27-29 years':27,\n",
    "       '3-5 years':3,\n",
    "       '30 or more years':30,\n",
    "       '6-8 years':6,\n",
    "       '9-11 years':9},\n",
    "    'StackOverflowRecommend':{\n",
    "        '0 (Not Likely)':0,\n",
    "        '1':1,\n",
    "        '10 (Very Likely)':10,\n",
    "        '2':2,\n",
    "        '3':3,\n",
    "        '4':4,\n",
    "        '5':5,\n",
    "        '6':6,\n",
    "        '7':7,\n",
    "        '8':8,\n",
    "        '9':9\n",
    "    },\n",
    "    'StackOverflowJobsRecommend':{\n",
    "        '0 (Not Likely)':0,\n",
    "        '1':1,\n",
    "        '10 (Very Likely)':10,\n",
    "        '2':2,\n",
    "        '3':3,\n",
    "        '4':4,\n",
    "        '5':5,\n",
    "        '6':6,\n",
    "        '7':7,\n",
    "        '8':8,\n",
    "        '9':9\n",
    "    },\n",
    "    'Age':\n",
    "      {'18 - 24 years old':20,\n",
    "       '25 - 34 years old':30,\n",
    "       '35 - 44 years old':40,\n",
    "       '45 - 54 years old':50,\n",
    "       '55 - 64 years old':60,\n",
    "       '65 years or older':70,\n",
    "       'Under 18 years old':15},\n",
    "    'StackOverflowVisit':{\n",
    "        'A few times per month or weekly':30,\n",
    "        'A few times per week':100,\n",
    "        'Daily or almost daily':365,\n",
    "        'I have never visited Stack Overflow (before today)':1,\n",
    "        'Less than once per month or monthly':10,\n",
    "        'Multiple times per day':1000\n",
    "    },\n",
    "    'StackOverflowParticipate':{\n",
    "        'A few times per month or weekly':30,\n",
    "        'A few times per week':100,\n",
    "        'Daily or almost daily':365,\n",
    "        'I have never visited Stack Overflow (before today)':1,\n",
    "        'Less than once per month or monthly':10,\n",
    "        'Multiple times per day':1000\n",
    "    },\n",
    "    'CheckInCode':{\n",
    "        'A few times per month or weekly':30,\n",
    "        'A few times per week':100,\n",
    "        'Daily or almost daily':365,\n",
    "        'I have never visited Stack Overflow (before today)':1,\n",
    "        'Less than once per month or monthly':10,\n",
    "        'Multiple times per day':1000\n",
    "    },\n",
    "    'NumberMonitors': \n",
    "        {'1':1, '2':2, '3':3, '4':4, 'More than 4':5.5},\n",
    "    'HoursOutside':{\n",
    "        '1 - 2 hours':1.5,\n",
    "        '3 - 4 hours':3.5,\n",
    "        '30 - 59 minutes':0.6,\n",
    "        'Less than 30 minutes':0.3,\n",
    "        'Over 4 hours':5\n",
    "    },\n",
    "    'LastNewJob':{\n",
    "        'Between 1 and 2 years ago':1.5,\n",
    "        'Between 2 and 4 years ago':3,\n",
    "        \"I've never had a job\":None,\n",
    "        'Less than a year ago':0.5,\n",
    "        'More than 4 years ago':5.5,\n",
    "    },\n",
    "    'HoursComputer':{\n",
    "        '1 - 4 hours':3,\n",
    "        '5 - 8 hours':6,\n",
    "        '9 - 12 hours':10,\n",
    "        'Less than 1 hour':0.5,\n",
    "        'Over 12 hours': 13\n",
    "    },\n",
    "    'SkipMeals':{\n",
    "        '1 - 2 times per week':1.5,\n",
    "        '3 - 4 times per week':3.5,\n",
    "        'Daily or almost every day':7,\n",
    "        'Never':0\n",
    "    },\n",
    "    'Exercise':{\n",
    "        '1 - 2 times per week':1.5,\n",
    "        '3 - 4 times per week':3.5,\n",
    "        'Daily or almost every day':7,\n",
    "        \"I don't typically exercise\":0\n",
    "    },\n",
    "    'TimeAfterBootcamp':{\n",
    "        'Four to six months':0.4,\n",
    "        'I already had a full-time job as a developer when I began the program':-1,\n",
    "        'I haven\\xe2\\x80\\x99t gotten a developer job':None,\n",
    "        'Immediately after graduating':0.0,\n",
    "        'Less than a month':0.07,\n",
    "        'Longer than a year':1.5,\n",
    "        'One to three months':0.2,\n",
    "        'Six months to a year':0.7,\n",
    "    },\n",
    "    'TimeFullyProductive':{\n",
    "        'Less than a month':0.7,\n",
    "        'More than a year':15,\n",
    "        'Nine months to a year':11,\n",
    "        'One to three months':2,\n",
    "        'Six to nine months':7,\n",
    "        'Three to six months':4\n",
    "    },\n",
    "    'CompanySize':{\n",
    "        '1,000 to 4,999 employees':3000,\n",
    "       '10 to 19 employees':15,\n",
    "       '10,000 or more employees':20000,\n",
    "       '100 to 499 employees':300,\n",
    "       '20 to 99 employees':50,\n",
    "       '5,000 to 9,999 employees':7000,\n",
    "       '500 to 999 employees':7000,\n",
    "       'Fewer than 10 employees':5,\n",
    "    }\n",
    "}   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "categorical_features += ['Country', 'CurrencySymbol']\n",
    "continios = ['ConvertedSalary']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "i =0\n",
    "keys = dict()\n",
    "for f in categorical_features:\n",
    "    if f in convert_psevdo_categorical:\n",
    "        keys[f] = i\n",
    "        i += 1\n",
    "    else:\n",
    "        for f_val in features[f]:\n",
    "            keys[f + ' _:_ ' + f_val] = i\n",
    "            i += 1\n",
    "            \n",
    "for f in group_features:\n",
    "    for f_val in features[f]:\n",
    "        keys[f + ' : ' + f_val] = i\n",
    "        i += 1\n",
    "    keys[f + ' _:_ ' + 'sum'] = i\n",
    "    i += 1\n",
    "    \n",
    "for f in continios:\n",
    "    keys[f] = i\n",
    "    i += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "json.dump(keys, open('keys.json', 'w'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "705"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "keys['LanguageWorkedWith : Python']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "res = np.zeros((len(srp), len(keys)))\n",
    "for i in tqdm.tqdm_notebook(range(len(srp))):\n",
    "    d = dict()\n",
    "    elem = srp.iloc[i]\n",
    "    for f in categorical_features:\n",
    "        if f in convert_psevdo_categorical:\n",
    "            convert = convert_psevdo_categorical[f]\n",
    "            if elem[f] in convert:\n",
    "                res[i, keys[f]] = convert[elem[f]]\n",
    "            else:\n",
    "                res[i, keys[f]] = None\n",
    "        else:\n",
    "            for f_val in features[f]:\n",
    "                res[i, keys[f + ' _:_ ' + f_val]] = int(elem[f] == f_val)\n",
    "\n",
    "    for f in group_features:\n",
    "        sum_group = 0\n",
    "        for f_val in features[f]:\n",
    "            val = int(f_val in elem[f].split(';')) if type(elem[f])==str  else 0\n",
    "            res[i, keys[f + ' : ' + f_val]] = val\n",
    "            sum_group += val\n",
    "        res[i, keys[f + ' _:_ ' + 'sum']] = sum_group\n",
    "\n",
    "    for f in continios:\n",
    "        res[i, keys[f]] = elem[f]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "res = res[:6200]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "res = np.load(open('./data.np', 'rb'))\n",
    "keys_list = json.load(open('./keys.json'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "keys_list = sorted(keys, key = lambda k: keys[k])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df = pd.DataFrame(data=res, columns=keys_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv('data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "keys_list = df.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Bc9r1R+lLkiRpYow9NE5Hku1pTg8f24a8YfamOd18m6q6CljbLuvVbACuHFj38r6a6fYl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\nJHUyNEqSJKmToVGSJEmd/h9GHVKPr98yvQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6))\n",
    "df.groupby('Age').size().plot.bar(\n",
    "    width=0.8, color='darkred', rot=0)\n",
    "plt.title('Ages distribution', size=20)\n",
    "plt.xticks(size=20)\n",
    "plt.yticks(size=15)\n",
    "plt.xlabel('Age', size=20)\n",
    "plt.ylabel('Count', size=20);\n",
    "#plt.savefig('images/1.pdf')\n",
    "#plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "d = df[feature_names]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "s = d.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "topn = 10\n",
    "s = d.sum()\n",
    "keys = s.sort_values(ascending=False)[:topn].keys()\n",
    "d = d[keys]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def plot_group_correlation(topn, group_feature):\n",
    "    feature_names = [x for x in keys_list if x.startswith(group_feature) and '_:_ sum' not in x] \n",
    "    plt.figure(figsize=(10, 8))\n",
    "    plt.title(group_feature + ' correlation', size=20)\n",
    "    \n",
    "    d = df[feature_names]\n",
    "    s = d.sum()\n",
    "    keys = s.sort_values(ascending=False)[:topn].keys()\n",
    "    d = d[keys]\n",
    "    \n",
    "    corr = d.corr('spearman')\n",
    "    names = [x.split(': ')[1][:15] for x in corr.index]\n",
    "    corr.index = names\n",
    "    corr.columns = names\n",
    "    palette = sns.diverging_palette(220, 10, as_cmap=True)\n",
    "    sns.heatmap(corr, vmin=-1, vmax=1, cmap=palette);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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a99q0f1NgS+CqdP6xwLrp2AVkyR3pdWYX7TtsCvwjIv6WPp+dxu9wXu515/T+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\n",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_group_correlation(12, 'DevType')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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kDcNKliRJGp8p6i60kiVJkjQCSybJSvKyJOcnOTfJ2Unun2SzJG9KclF7+0yS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\nIYQQQhvEICuEEEIIoQ3+H0rf8DCm30FKAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_group_correlation(12, 'LanguageWorkedWith')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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WJElSZ4w9EFbVndNU2R3YBvhc3zo3AacA+/XV2w84rapu6Cs7iSYk7jHitiRJkjpj7IFw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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "datascientists = df[df['DevType : Data scientist or machine learning specialist'] == 1.0]\n",
    "plt.figure(figsize=(10, 6))\n",
    "datascientists.groupby('Age').size().plot.bar(\n",
    "    width=0.8, color='darkred', rot=0)\n",
    "plt.title('Ages distribution', size=20)\n",
    "plt.xticks(size=20)\n",
    "plt.yticks(size=15)\n",
    "plt.xlabel('Age', size=20)\n",
    "plt.ylabel('Count', size=20);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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RsTdwMmWcwbuBM4F3tyvMzP+JiE2A9wJHAL+inKb2KSWSJKlaQw2EmTmnj2LP7bOuGyhD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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "datascientists = df[\n",
    "    (df['DevType : Data scientist or machine learning specialist'] == 1.0)\n",
    "                   ]\n",
    "plt.figure(figsize=(10, 6))\n",
    "datascientists.groupby('Age').size().plot.bar(\n",
    "    width=0.8, color='darkred', rot=0)\n",
    "plt.title('DS ages distribution', size=20)\n",
    "plt.xticks(size=20)\n",
    "plt.yticks(size=15)\n",
    "plt.xlabel('Age', size=20)\n",
    "plt.ylabel('Count', size=20);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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RwvJh3favpM1Rd063nWcBGw/UPXi4nQPLRraLdsntDbRxc1PzI66Yxe9nY+BlwI+7382v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\npJ4y6EmSJPWUQU+SJKmnDHqSJEk99f8BpYZHFrfF/n4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "datascientists = df[\n",
    "    (df['DevType : Data scientist or machine learning specialist'] == 1.0)&\n",
    "    (df['DevType : Student'] == 1.0)\n",
    "                   ]\n",
    "plt.figure(figsize=(10, 6))\n",
    "datascientists.groupby('Age').size().plot.bar(\n",
    "    width=0.8, color='darkred', rot=0)\n",
    "plt.title('DS & student ages distribution', size=20)\n",
    "plt.xticks(size=20)\n",
    "plt.yticks(size=15)\n",
    "plt.xlabel('Age', size=20)\n",
    "plt.ylabel('Count', size=20);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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LgOe377cd8AiaM3S9de5OckJ/Gc2Zvu/2Ql7rf4HbgT0Ag54kSZpzJntGb9cx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\nRxn0JEmSOsqgJ0mS1FH/D9l0kB1/d2N/AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "datascientists = df[\n",
    "    (df['DevType : Data scientist or machine learning specialist'] == 1.0)&\n",
    "    (df['DevType : Data or business analyst'] == 1.0)\n",
    "                   ]\n",
    "plt.figure(figsize=(10, 6))\n",
    "datascientists.groupby('Age').size().plot.bar(\n",
    "    width=0.8, color='darkred', rot=0)\n",
    "plt.title('DS & BA ages distribution', size=20)\n",
    "plt.xticks(size=20)\n",
    "plt.yticks(size=15)\n",
    "plt.xlabel('Age', size=20)\n",
    "plt.ylabel('Count', size=20);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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P1ePEXUHzwfkKYLsB9f+Dpo/YLTQfwMe2z/ku46O169yP5qaJ37ft/h7N3ZR7M86YYzT9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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "datascientists = df[\n",
    "    (df['DevType : Data scientist or machine learning specialist'] == 1.0)&\n",
    "    (df['DevType : Educator or academic researcher'] == 1.0)\n",
    "                   ]\n",
    "plt.figure(figsize=(10, 6))\n",
    "ages = datascientists.groupby('Age').size()\n",
    "ages[ages > 15].plot.bar(\n",
    "    width=0.8, color='darkred', rot=0)\n",
    "plt.title('DS & educator ages distribution', size=20)\n",
    "plt.xticks(size=20)\n",
    "plt.yticks(size=15)\n",
    "plt.xlabel('Age', size=20)\n",
    "plt.ylabel('Count', size=20);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df.corrwith()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'Age')"
      ]
     },
     "execution_count": 177,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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QfFO3z3cYP6pb5j60jvY/79r9DdpdcnsxxZhMtP5Pb6WFqptp/WzO77a1aKjett3zvKKr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\nkyRJ6pFhTJIkqUf/P4uRgUZ3fEZaAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "datascientists = df[\n",
    "    (df['DevType : Data scientist or machine learning specialist'] == 1.0)&\n",
    "    (df['LanguageWorkedWith : C++'] == 1.0)\n",
    "                   ]\n",
    "plt.figure(figsize=(10, 6))\n",
    "ages = datascientists.groupby('Age').size()\n",
    "ages[ages > 15].plot.bar(\n",
    "    width=0.8, color='darkred', rot=0)\n",
    "plt.title('DS & educator ages distribution', size=20)\n",
    "plt.xticks(size=20)\n",
    "plt.yticks(size=15)\n",
    "plt.xlabel('Age', size=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def plot_pair_correlation(group_feature1, group_feature2, topn=10):\n",
    "    feature_names1 = [x for x in keys_list if x.startswith(group_feature1) and '_:_ sum' not in x] \n",
    "    feature_names2 = [x for x in keys_list if x.startswith(group_feature2) and '_:_ sum' not in x]\n",
    "    \n",
    "    plt.figure(figsize=(10, 8))\n",
    "    plt.title(group_feature1 +' with ' + group_feature2 + ' correlation', size=20)\n",
    "    \n",
    "    d1 = df[feature_names1]\n",
    "    d2 = df[feature_names2]\n",
    "    \n",
    "    s = d1.sum()\n",
    "    keys = s.sort_values(ascending=False)[:topn].keys()\n",
    "    d1 = d1[keys]\n",
    "    \n",
    "    s = d2.sum()\n",
    "    keys = s.sort_values(ascending=False)[:topn].keys()\n",
    "    d2 = d2[keys]\n",
    "    \n",
    "    \n",
    "    corr = d1.corrwith(d2)\n",
    "    return d1, d2\n",
    "    #names = [x.split(': ')[1][:15] for x in corr.index]\n",
    "    #corr.index = names\n",
    "    #corr.columns = names\n",
    "    palette = sns.diverging_palette(220, 10, as_cmap=True)\n",
    "    sns.heatmap(corr, vmin=-1, vmax=1, cmap=palette);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def plot_pair_correlation(group_feature1, group_feature2, topn=10, top_symbols = [15,15]):\n",
    "    feature_names1 = [x for x in keys_list if x.startswith(group_feature1) and '_:_ sum' not in x] \n",
    "    feature_names2 = [x for x in keys_list if x.startswith(group_feature2) and '_:_ sum' not in x]\n",
    "\n",
    "    plt.figure(figsize=(10, 8))\n",
    "    plt.title(group_feature1 +' with ' + group_feature2 + ' correlation', size=20)\n",
    "\n",
    "    d1 = df[feature_names1]\n",
    "    d2 = df[feature_names2]\n",
    "\n",
    "    s = d1.sum()\n",
    "    keys1 = s.sort_values(ascending=False)[:topn].keys()\n",
    "\n",
    "    s = d2.sum()\n",
    "    keys2 = s.sort_values(ascending=False)[:topn].keys()\n",
    "\n",
    "    d = df[list(keys1) + list(keys2)]\n",
    "    corr = d.corr('pearson').filter(keys2).drop(keys2)\n",
    "\n",
    "    corr.index = [x.split(': ')[1][:top_symbols[0]] for x in corr.index]\n",
    "    corr.columns = [x.split(': ')[1][:top_symbols[1]] for x in corr.columns]\n",
    "    palette = sns.diverging_palette(220, 10, as_cmap=True)\n",
    "    sns.heatmap(corr, vmin=-1, vmax=1, cmap=palette);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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WVkHPzMxsIHLNnpmZmTUXD9AwMzMzG7wG8q3NyuBmXDMzM7NBzDV7ZmZm1lxK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\nW1UkrRQRi3tqv/ZExJH1imVmZmb102x30OhOz94ngXcj4txSQUQ8GxF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AFwCLgSXAlyPi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\nJEmSJEmmMVnsJUmSJEmSTGP+HxfvMf2ilf2eAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_pair_correlation('DevType', 'LanguageWorkedWith', 20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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jYTkzDReus8xtl/u9wY8+UU65q69WSrmvRXm/fVdSOTOTy5r9XdaMWYAFLeXU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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_pair_correlation('DevType', 'LanguageDesireNextYear', 20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(98855, 10)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d2.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Sb2ZmZmZNR47Um5mZmZlZI3Gk3szMzMyajy+UNTMzMzNrcC02qPf0GzMzMzOz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\niIiIEZdOfURERETEiEunPiIiIiJixP0/7QSNj84p+awAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_pair_correlation('HackathonReasons', 'DevType', 15, [40, 10])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "d = df[df['Country _:_ United States'] == 1.0].groupby('LanguageWorkedWith _:_ sum')\n",
    "number_of_lang_salary_usa = d.median()[d.size() > 100].ConvertedSalary.dropna().drop(0)\n",
    "number_of_lang_users_usa = d.size()[d.size() > 100].drop(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "d = df[df['Country _:_ Russian Federation'] == 1.0]\n",
    "\n",
    "d = d.groupby('LanguageWorkedWith _:_ sum')\n",
    "number_of_lang_salary_rf = d.median()[d.size() > 15].ConvertedSalary.dropna().drop(0)\n",
    "number_of_lang_users_rf = d.size()[d.size() > 15].drop(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "d = df\n",
    "\n",
    "d = d.groupby('LanguageWorkedWith _:_ sum')\n",
    "number_of_lang_salary_world = d.median()[d.size() > 500].ConvertedSalary.dropna().drop(0)\n",
    "number_of_lang_users_world = d.size()[d.size() > 500].drop(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f79cf46be90>"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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YUFfOJYumsnRuHefOm0RDXUWeRyuNfQZDSaNqQmkRZ82u5azZ/Rcc6slE1jfuTWcVd7Nq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\noMRQRERERCL/H25dxwRJEkSaAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(10,8))\n",
    "\n",
    "number_of_lang_salary_usa.plot(label='USA', legend=True)\n",
    "number_of_lang_salary_rf.plot(label='RF', legend=True)\n",
    "number_of_lang_salary_world.plot(label='world', legend=True)\n",
    "\n",
    "plt.xlabel('Number of lang worked with', size =20)\n",
    "plt.ylabel('Salary $/year', size =20)\n",
    "plt.ylim(ymin=0)\n",
    "plt.xlim(xmax=10)\n",
    "plt.legend(prop={'size': 15})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f79cf096410>"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Hsw9aw9KXwNUT2r9jOo1NKODjwXcPhfHsrJ28s3A/Z64k83KnKo51BnBe8ykE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\n0Fp/n1MBtNaLtdYVtdbltNbvXr/2xh8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aPuF3GhHJZbqeU4lHLzuLz5Zs4elPl8b26hSl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\n84K8KHMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(10,8)) \n",
    "\n",
    "(number_of_lang_users_rf / number_of_lang_users_rf.sum()).plot(label='USA', legend=True)\n",
    "(number_of_lang_users_usa/ number_of_lang_users_usa.sum()).plot(label='RF', legend=True)\n",
    "\n",
    "plt.xlabel('Number of lang worked with', size =20)\n",
    "plt.ylabel('Developers %', size =20)\n",
    "plt.ylim(ymin=0)\n",
    "plt.xlim(xmax=10)\n",
    "plt.legend(prop={'size': 15})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f79ff33d7d0>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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0ML1ySKnzGdS6Pk9c1Zpvtxzi2S+34Mo9C6p0vP44b//xM0x4L56GtYJ4/eYu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\nwTGEJ4MAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "number_of_lang_users_usa.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LanguageWorkedWith _:_ sum\n",
      "1.0    21228.0\n",
      "2.0    21960.0\n",
      "3.0    18678.0\n",
      "4.0    21228.0\n",
      "5.0    21018.0\n",
      "6.0    21228.0\n",
      "7.0    23994.0\n",
      "8.0    21228.0\n",
      "9.0    22986.0\n",
      "Name: ConvertedSalary, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "d = df[df['Country _:_ Russian Federation'] == 1.0].groupby('LanguageWorkedWith _:_ sum')\n",
    "print(d.median()[d.size() > 100].ConvertedSalary.dropna().drop(0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LanguageWorkedWith _:_ sum\n",
       "1.0     14530.937361\n",
       "2.0     14622.782249\n",
       "3.0     28094.406969\n",
       "4.0     17837.601269\n",
       "5.0     18638.453220\n",
       "6.0     16230.754861\n",
       "7.0     36767.245064\n",
       "8.0    103068.250814\n",
       "9.0     21855.628283\n",
       "Name: ConvertedSalary, dtype: float64"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d.std()[d.size() > 100].ConvertedSalary.dropna().drop(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": true,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "auc_salary = dict()\n",
    "for DevType in df.keys():\n",
    "    if DevType.startswith('DevType'):\n",
    "        auc_salary[DevType] = []\n",
    "        for k in df.keys():\n",
    "            if k.startswith('Country'):\n",
    "                d = df[df[k] == 1.0]\n",
    "\n",
    "                ds = d[d[DevType] == 1.0]\n",
    "                not_ds = d[d[DevType] == 0.0]\n",
    "                nds = np.array(not_ds.ConvertedSalary.dropna())\n",
    "                ds = np.array(ds.ConvertedSalary.dropna())\n",
    "                if (len(ds) > 50) and len(nds) > 500:\n",
    "                    y = np.concatenate([np.ones(len(ds)), np.zeros(len(nds))])\n",
    "                    salary = np.concatenate([ds, nds])\n",
    "                    auc = roc_auc_score(y ,salary)\n",
    "                    auc_salary[DevType].append((k.replace('Country _:_ ', ''),\n",
    "                                                auc, np.median(salary), np.median(ds)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "country\n",
       "Australia             0.474515\n",
       "Brazil                0.574972\n",
       "Canada                0.531368\n",
       "France                0.536594\n",
       "Germany               0.473067\n",
       "India                 0.574570\n",
       "Italy                 0.450814\n",
       "Netherlands           0.508103\n",
       "Poland                0.490951\n",
       "Russian Federation    0.519881\n",
       "Spain                 0.501746\n",
       "Sweden                0.505176\n",
       "United Kingdom        0.498862\n",
       "United States         0.523704\n",
       "Name: auc, dtype: float64"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dt.auc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "14"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(dt.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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CpCfrOJOOKAqc6uiF2ytRdp5v7Fiy/YGOnS6JiIho0ISBTgihBfAogDUA5gD4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\nm7ObccAg1gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,10))\n",
    "k ='DevType : Data scientist or machine learning specialist'\n",
    "dt = pd.DataFrame(auc_salary[k], \n",
    "             columns=['country', 'auc', 'median_salary', 'median_salary_devtype']).set_index('country')\n",
    "if len(dt) > 0:\n",
    "    dt.auc.plot(legend=True, label=k)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Country _:_ Australia', 0.4745150682650683, 79973.0, 76374.5)\n",
      "('Country _:_ Brazil', 0.5749721238678378, 18720.0, 26196.0)\n",
      "('Country _:_ Canada', 0.5313684353004873, 64417.0, 65513.5)\n",
      "('Country _:_ France', 0.5365936420334725, 48955.0, 51403.0)\n",
      "('Country _:_ Germany', 0.4730667223652303, 61194.0, 58752.0)\n",
      "('Country _:_ India', 0.5745698430386323, 9396.0, 13200.0)\n",
      "('Country _:_ Italy', 0.4508136094674557, 39164.0, 34880.5)\n",
      "('Country _:_ Netherlands', 0.5081026058631921, 55075.0, 49011.5)\n",
      "('Country _:_ Poland', 0.4909510974201001, 31764.0, 28236.0)\n",
      "('Country _:_ Russian Federation', 0.5198805335678687, 21228.0, 22113.0)\n",
      "('Country _:_ Spain', 0.50174611489436, 37695.5, 37940.0)\n",
      "('Country _:_ Sweden', 0.5051763332514132, 58392.0, 58464.0)\n",
      "('Country _:_ United Kingdom', 0.49886172986867117, 62507.0, 64382.0)\n",
      "('Country _:_ United States', 0.523704194305882, 100000.0, 102500.0)\n"
     ]
    }
   ],
   "source": [
    "DevType = 'DevType : Data scientist or machine learning specialist'\n",
    "for k in df.keys():\n",
    "    if k.startswith('Country'):\n",
    "        d = df[df[k] == 1.0]\n",
    "\n",
    "        ds = d[d[DevType] == 1.0]\n",
    "        not_ds = d[d[DevType] == 0.0]\n",
    "        nds = np.array(not_ds.ConvertedSalary.dropna())\n",
    "        ds = np.array(ds.ConvertedSalary.dropna())\n",
    "        if (len(ds) > 50) and len(nds) > 500:\n",
    "            y = np.concatenate([np.ones(len(ds)), np.zeros(len(nds))])\n",
    "            salary = np.concatenate([ds, nds])\n",
    "            auc = roc_auc_score(y ,salary)\n",
    "            print(k, auc, np.median(salary), np.median(ds))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "salarySet = df[df['ConvertedSalary'].fillna(0) > 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "train_features = [key for key in salarySet.keys() if 'salary' not in key.lower()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "trn_x, trn_y = salarySet[train_features], salarySet['ConvertedSalary']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LGBMRegressor(boosting_type='gbdt', colsample_bytree=0.9, learning_rate=0.03,\n",
       "       max_bin=255, max_depth=-1, min_child_samples=10, min_child_weight=5,\n",
       "       min_split_gain=0.0, n_estimators=1000, n_jobs=-1, num_leaves=31,\n",
       "       objective=None, random_state=1, reg_alpha=0.0, reg_lambda=0.0,\n",
       "       silent=True, subsample=0.9, subsample_for_bin=50000,\n",
       "       subsample_freq=1)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import lightgbm as lgb\n",
    "\n",
    "reg = lgb.LGBMRegressor(\n",
    "    num_leaves=31,\n",
    "    learning_rate=0.03,\n",
    "    n_estimators=1000,\n",
    "    subsample=.9,\n",
    "    colsample_bytree=.9,\n",
    "    random_state=1\n",
    ")\n",
    "reg.fit(\n",
    "    np.array(trn_x), np.array(trn_y),\n",
    "    verbose=20,\n",
    "    eval_metric='rmse'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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JiIiIiPyTKJGVIuvRowe7d+8mOTm5QF1eXh7fffcdANWrVwfgwIEDRv2JEyc4ePBgscYP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\n",
      "text/plain": [
       "<Figure size 842.4x739.44 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "a4_dims = (11.7, 10.27)\n",
    "fig, ax = plt.subplots(figsize=a4_dims)\n",
    "\n",
    "imp_df = pd.DataFrame()\n",
    "imp_df['feature'] = trn_x.columns\n",
    "imp_df['gain'] = reg.booster_.feature_importance(importance_type='gain')\n",
    "\n",
    "imp_df['feature'] = [x.decode('utf-8') for x in list(imp_df['feature'])]\n",
    "imp_df['feature_group'] = imp_df['feature'].apply(lambda x: x.split(':')[0])\n",
    "imp_gb = imp_df.groupby('feature_group')\n",
    "\n",
    "plt_df = imp_gb.sum()[imp_gb.count() > 2]\n",
    "plt_df['gain_log'] = np.log1p(plt_df['gain'])\n",
    "plt_df = plt_df[plt_df['gain_log'] > 1]\n",
    "#plt_df = plt_df[plt_df['gain_log'] > 1]      \n",
    "sns.barplot(x='gain_log', y='feature_group', \n",
    "                data=plt_df.reset_index().sort_values('gain', ascending=False).iloc[:25])\n",
    "sns.set(font_scale=1.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    29.874301\n",
       "1    32.109977\n",
       "2    33.137447\n",
       "3    34.006153\n",
       "Name: gain, dtype: float64"
      ]
     },
     "execution_count": 217,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.log1p(gr_df['gain'])# np.sign(c.corrwith(salarySet['ConvertedSalary']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "log_gain = np.log1p(imp_df.set_index('feature')['gain'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 245,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "corr = salarySet[train_features].corrwith(salarySet['ConvertedSalary'])\n",
    "corr.index = log_gain.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 282,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "imp_df = imp_df.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 294,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/denis/anaconda2/lib/python2.7/site-packages/ipykernel_launcher.py:4: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  after removing the cwd from sys.path.\n"
     ]
    }
   ],
   "source": [
    "imp_df = imp_df.set_index('feature')\n",
    "imp_df['number'] = salarySet[train_features].sum()\n",
    "imp_df = imp_df[imp_df['number'] > 50]\n",
    "imp_df = imp_df[salarySet[train_features].sum()> 250]\n",
    "imp_df['signed_gain * sign(corr)']=(np.sign(corr) * log_gain)[np.abs(corr) > 0.01]\n",
    "imp_df = imp_df.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 297,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/denis/anaconda2/lib/python2.7/site-packages/ipykernel_launcher.py:7: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  import sys\n",
      "/home/denis/anaconda2/lib/python2.7/site-packages/ipykernel_launcher.py:8: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fbadbf2e950>"
      ]
     },
     "execution_count": 297,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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395qaTB4P6Z1Vrv8OFQAAAADkVgQqAAAAADCIQAUAAAAABhGoAAAAAMAgAhUA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\n77//blXj77//rgoVKmj79u2PtS4AAAC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QrFmzlJOTY+2ySpSTJ0/qtddeU7du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\nAAAAMOj/AZqNYzHTDGI6AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 842.4x739.44 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "a4_dims = (11.7, 10.27)\n",
    "sns.set(font_scale=1.5)\n",
    "fig, ax = plt.subplots(figsize=a4_dims)\n",
    "\n",
    "gr_df = imp_df[imp_df['feature_group'] == 'Country _']\n",
    "f_names=list(gr_df['feature'])\n",
    "gr_df['gain_log'] = np.log1p(gr_df['gain'])\n",
    "gr_df['feature'] = gr_df['feature'].apply(lambda x: x.split(':')[1].replace('_', ''))\n",
    "\n",
    "gr_df = gr_df[np.abs(gr_df['signed_gain * sign(corr)']) > 1]      \n",
    "sns.barplot(x='signed_gain * sign(corr)', y='feature', \n",
    "                data=gr_df.sort_values('gain', ascending=False).iloc[:30])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 299,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>feature</th>\n",
       "      <th>index</th>\n",
       "      <th>gain</th>\n",
       "      <th>feature_group</th>\n",
       "      <th>signed_gain</th>\n",
       "      <th>signed_gain * sign(corr)</th>\n",
       "      <th>number</th>\n",
       "      <th>gain_log</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [feature, index, gain, feature_group, signed_gain, signed_gain * sign(corr), number, gain_log]\n",
       "Index: []"
      ]
     },
     "execution_count": 299,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gr_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 300,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/denis/anaconda2/lib/python2.7/site-packages/ipykernel_launcher.py:7: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  import sys\n",
      "/home/denis/anaconda2/lib/python2.7/site-packages/ipykernel_launcher.py:8: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fbadbd16150>"
      ]
     },
     "execution_count": 300,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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XLik8PFwHDhxQQkKCcnJyJEleXl7mc44fP67AwECVKVPG4h7/HHy/+eYbpaam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\n",
      "text/plain": [
       "<Figure size 842.4x739.44 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "a4_dims = (11.7, 10.27)\n",
    "sns.set(font_scale=1.5)\n",
    "fig, ax = plt.subplots(figsize=a4_dims)\n",
    "\n",
    "gr_df = imp_df[imp_df['feature_group'] == 'DevType ']\n",
    "f_names=list(gr_df['feature'])\n",
    "gr_df['gain_log'] = np.log1p(gr_df['gain'])\n",
    "gr_df['feature'] = gr_df['feature'].apply(lambda x: x.split(':')[1].replace('_', ''))\n",
    "\n",
    "gr_df = gr_df[np.abs(gr_df['signed_gain * sign(corr)']) > 1]      \n",
    "sns.barplot(x='signed_gain * sign(corr)', y='feature', \n",
    "                data=gr_df.sort_values('gain', ascending=False).iloc[:30])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 308,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/denis/anaconda2/lib/python2.7/site-packages/ipykernel_launcher.py:6: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \n",
      "/home/denis/anaconda2/lib/python2.7/site-packages/ipykernel_launcher.py:7: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  import sys\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fbadb93ef50>"
      ]
     },
     "execution_count": 308,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ckv6KMmvWLBo1asQHH3xAUlISvXr1KnC7UqVK5fm5oNdQ1HFeuXIlO3bsYOPGjSxevJjP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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(font_scale=1.5)\n",
    "\n",
    "gr_df = imp_df[imp_df['feature_group'] == 'AIDangerous _']\n",
    "sns.set(font_scale=1.0)\n",
    "f_names=list(gr_df['feature'])\n",
    "gr_df['gain_log'] = np.log1p(gr_df['gain'])\n",
    "gr_df['feature'] = gr_df['feature'].apply(lambda x: x.split(':')[1].replace('_', ''))\n",
    "\n",
    "gr_df = gr_df[np.abs(gr_df['signed_gain * sign(corr)']) > 0.1]      \n",
    "sns.barplot(x='signed_gain * sign(corr)', y='feature', \n",
    "                data=gr_df.sort_values('gain', ascending=False).iloc[:30])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 309,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/denis/anaconda2/lib/python2.7/site-packages/ipykernel_launcher.py:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \"\"\"\n",
      "/home/denis/anaconda2/lib/python2.7/site-packages/ipykernel_launcher.py:6: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fbadb8b23d0>"
      ]
     },
     "execution_count": 309,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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sKlSo4Ah10qWQevk501OnTuno0aNq3LixatSooSJFiujgwYM3nMP69eurWrVq\nkqSdO3fK19dXpUqVUunSpdW6dWvt2LFDkvTQQw+pYcOGjvNWr16tjh07qkOHDjp06JAOHz58w7EA\nAACAv4NlsbitbDab4uPjtW7dOkVGRsput+vMmTPKysqSJMcyUklycXFxfDaZTLLZbJKkKVOmqFmz\nZvrss8+UkpKiHj16OM4ZNWqU/Pz81LJlyxvW8texXF1dHdf/X8OGDVNAQIC+/PJLhYaGOkLi1e7t\n4MGD8vT0dFyzWbNmatasmR577DGtXLlSnTp10n/+8x9NnTpV0qWw9+eff+qFF16QJGVlZcliseix\nxx6Tq6ur4znJvLw85eTkOMYqVarUDe/vf487fvy45syZo2XLlqlcuXIKCQmR1Wot0HUAAACAm0Xn\nErfVli1b5OXlpY0bNyoxMVHr16+Xn5+fEhISCnyNzMxMVapUSZK0YsUKx/aFCxcqOztb/fr1c2xr\n0qSJVq9eLZvNpoyMDO3YsUPe3t5/q/Zu3bopLy9PmzdvvmJfTk6OPvzwQ1WpUsWxNPbXX3917E9O\nTtZDDz2kzMxM5ebmqnz58pIudXG/+OILJSYmKjExUcuXL3d0cqtWrap9+/ZJkhITE/OFy79q0qSJ\nEhISdP78eZ07d04JCQlq0qTJFcdlZ2erZMmScnNz06lTp7Rp06a/NQ8AAABAQdC5xG1lsViueG7R\nz89PixYtumogupq+ffsqJCREM2bM0LPPPuvYPnv2bBUtWlRms1mS9PLLL+vll19WUlKSzGazTCaT\nhg4dKnd3d/3yyy83XfvlFwJ98cUXjje9vvPOOypWrJguXryoli1bavr06ZKkc+fOady4cTp79qxc\nXV318MMPa+zYsfrPf/7j6KqmpKQoNTU137LVatWqyc3NTT/++KNefPFFDRgwQO3bt9fTTz99zW5l\n3bp11alTJwUHB0u69EKfOnXqKCUlJd9xtWvXVp06ddSmTRtVrlxZTzzxxE3PAQAAAFBQJvvlh8YA\n3HJhYWEKDg7OFyjvZOnpmc4u4aa4u7vddTXfjZjnwsE8F45fo7o6uwQAKJBHOn3t7BKuyd3d7arb\n6VwCt9H48eOdXQIAAABQKHjmEgAAAABgGOESAAAAAGAY4RIAAAAAYBjhEgAAAABgGOESAAAAAGAY\n4RIAAAAAYBjhEgAAAABgGOESAAAAAGBYEWcXAAAAUFiavh6r9PRMZ5dxz3N3d2OeCwHzXHiY64Kh\ncwkAAAAAMIxwCQAAAAAwjHAJAAAAADCMcAkAAAAAMIxwCQAAAAAwjHAJAAAAADCMryIBAAD3jeg5\nbZxdAoD7XMt2S5xdwm1D5xKDHLGIAAAgAElEQVQAAAAAYBjhEgAAAABgGOESAAAAAGAY4RIAAAAA\nYBjhEgAAAABgGOESAAAAAGAY4RIAAAAAYBjhEgAAAABgGOESAAAAAGBYEWcXgPtHcnKyOnTooFmz\nZumZZ55xdjnXFBISom3btqlMmTKyWq1q0KCB3n77bVWuXNnZpeXj4+Oj0qVLS5JsNptat26tAQMG\nqHjx4kpJSVFgYKBq1Kghu92uUqVKacKECfL09HRy1QAAALhX0blEoYmLi1Pjxo1lsVicXcoNDRs2\nTDExMVqzZo3q1Kmjnj176uLFi84u6wrz589XbGysli5dqpSUFI0cOdKxr3r16oqOjlZMTIw6dOig\nmTNnOrFSAAAA3OvoXKJQ2O12rVmzRnPnzlXXrl1ltVodHba+ffuqYcOGSkpKUr169dS5c2dNnTpV\nGRkZioiIkLe3t3bv3q3x48fLarWqRIkSji5cWFiY9u7dK0lKS0tTt27d9K9//Uvh4eHavHmzTCaT\n+vfvr8DAQG3dulXTpk1T+fLldfDgQdWtW1cREREymUzXrNtkMqlXr1769ttvtWnTJp05c0Y//fST\nwsLCJElLlizRzz//rB49eui1115T48aNlZSUpEqVKmn69OkqUaKElixZosWLFysnJ0cPP/ywwsPD\nVbJkSYWEhKh48eJKTk7WH3/8oQkTJmjlypX6v//7PzVo0EAffPCBpEuhfObMmbLb7Xr22Wc1dOjQ\nK+osXbq0xowZo2effVZnzpy5Yn9WVpbKli17K36UAAAAwFXRuUSh2LVrlzw8PFS9enU1a9ZMGzZs\ncOw7duyYevfurdWrV+vIkSOKjY3VokWLNGzYMEVGRkqSPD09tXDhQq1cuVJvvvmmPv74Y0nS+PHj\nFR0drenTp6t8+fLq2LGj4uPjdeDAAUVHR2vu3LkKDw/XyZMnJUn79+9XaGioVq1apZSUFO3cubNA\n9depU0e//PKL2rRpo/Xr1ysnJ0eSFBUVpc6dO0uSjh49qldffVUWi0Vubm5au3atJKl169Zavny5\nYmJi5OnpqWXLljmue/bsWS1evFgjRoxQ//791atXL1ksFh08eFDJyclKS0tTRESE5s+fr5UrV2rP\nnj1KSEi4ao1lypSRh4eHjh496phXs9ksX19fzZs3T7179y7ojwsAAAC4aXQuUSgsFouCgoIkSYGB\ngYqOjpa/v78kycPDQ15eXpKkmjVrqkWLFjKZTPLy8lJqaqokKTMzU8OHD9fRo0dlMpkc4U6SrFar\nBg0apPfee09Vq1bV/PnzFRQUJFdXV1WsWFFNmzbVnj17VKZMGXl7ezuenaxdu7ZSU1PVpEmTG9Zv\nt9slXeoQNm/eXBs2bJCnp6dycnLk5eWllJQUeXh46PHHH5ck1a1b11H7oUOH9MknnygzM1PZ2dlq\n1aqV47rPP/+8414rVqyYbx5SU1OVmpqqJ598UhUqVJAktWvXTtu3b5evr+9165T+uyxWklatWqX3\n3ntPs2fPvuG9AgAAAH8H4RK3nc1mU3x8vNatW6fIyEjZ7XadOXNGWVlZkqRixYo5jnVxcXF8NplM\nstlskqQpU6aoWbNm+uyzz5SSkqIePXo4zhk1apT8/PzUsmXLG9by17FcXV0d17+R5ORktWjRQpIU\nHBysyMhIeXp6qlOnTte8ttVqlXTpBUHTp09X7dq1FRUVpW3btl1xjslkumIecnNzVaRIwf8TzcrK\nUmpqqh555BFlZmbm2+fj46MRI0YU+FoAAADAzWJZLG67LVu2yMvLSxs3blRiYqLWr18vPz+/ay7v\nvJrMzExVqlRJkrRixQrH9oULFyo7O1v9+vVzbGvSpIlWr14tm82mjIwM7dixQ97e3n+rdrvdrgUL\nFig9PV1PP/20JKlBgwb6/fffFRcXp7Zt297wGtnZ2XJ3d1dOTo5iY2Nvanxvb29t375dGRkZstls\nslgsatq06VXHGDNmjHx9fVWuXLkr9u/cuVPVq1e/qbEBAACAm0HnEredxWK5Yhmnn5+fFi1aVKAl\nqZLUt29fhYSEaMaMGXr22Wcd22fPnq2iRYvKbDZLkl5++WW9/PLLSkpKktlslslk0tChQ+Xu7q5f\nfvmlwDWHh4dr+vTpunDhgho0aKAFCxbk6yy2adNGycnJVw1y/2vQoEEKDg5WhQoV1KBBA2VnZxe4\njgcffFBDhgxRz549HS/0+etcXt6el5fn+CqSyy4/c2m321W0aFGNGzeuwOMCAAAAN8tk/+tDWgAK\n5PXXX1evXr0cS2XvFenpmTc+6A7i7u5219V8N2KeCwfzXDi+j33R2SUAuM+1bLfE2SUY5u7udtXt\nLIsFbsLZs2fl7++v4sWL33PBEgAAADCCZbHATShbtqzjK0YAAAAA/BedSwAAAACAYYRLAAAAAIBh\nhEsAAAAAgGGESwAAAACAYYRLAAAAAIBhhEsAAAAAgGGESwAAAACAYXzPJQAAuG+Y/7la6emZzi7j\nnufu7sY8FwLmufAw1wVD5xIAAAAAYBjhEgAAAABgGOESAAAAAGAY4RIAAAAAYBjhEgAAAABgGOES\nAAAAAGAYX0UCwKmi1nRxdgkA7iOvd1/r7BIA4J5F5xIAAAAAYBjhEgAAAABgGOESAAAAAGAY4RIA\nAAAAYBjhEgAAAABgGOESAAAAAGAY4RIAAAAAYBjhEgAAAABgGOESAAAAAGBYEWcXANxPfHx8VLly\nZX399deObWazWTabTXFxcdc879SpUwoLC9OJEyeUm5urqlWratasWZKkQ4cO6f3331daWppsNpva\nt2+vgQMHysXFRVFRUdq7d69Gjhx52+8NAAAA9zfCJVDIsrOzdeLECVWpUkWHDx8u0DlTp05Vy5Yt\n1bNnT0nSgQMHJEkXLlxQ//79NXr0aLVq1Urnz5/Xv//9by1YsEC9evW6XbcAAAAAXIFlsUAha9Om\njVatWiVJiouLU1BQkGPfq6++quTkZMfnV155RQcOHNDJkydVuXJlx/batWtLkmJjY/XEE0+oVatW\nkqSSJUtq5MiR+uKLLwrjVgAAAAAHwiVQyPz8/PTtt99KktavXy8fHx/Hvi5duigqKkqSdOTIEVmt\nVtWuXVuvvvqqwsLC1L17d82YMUNpaWmSpJ9//ll169bNd/3q1avLarXq7NmzhXRHAAAAAOESKHQP\nPPCAypYtK4vFokcffVQlSpRw7AsICNCGDRuUk5Oj5cuXq1OnTpKkp59+WgkJCXrxxRf1yy+/qGPH\njsrIyHDWLQAAAABXIFwCThAYGKixY8fmWxIrXVrW2rJlS61bt06rV69Wu3btHPseeOABtWvXTpMn\nT1b9+vW1fft21axZU/v27ct3jePHjzsCLAAAAFBYCJeAE/j6+qpPnz6OZyX/Kjg4WOPGjVP9+vVV\nrlw5SdKWLVt0/vx5SVJWVpaOHTumKlWqqF27dtq5c6e+//57SZde8DNu3Dj9+9//LrybAQAAAMTb\nYgGnKFOmjPr163fVffXq1VOZMmUcS2Ilad++fXr//ffl6uoqu92u4OBgeXt7S5JmzJih999/X2PG\njFFaWpr69++v9u3bO85dsWKFEhISHJ+XLFmS7+VAAAAAwK1gstvtdmcXAeC/0tLS1KNHD61evVou\nLje3uCAhIUETJ07UggULVLVq1ZseOz0986bPMSpqTZdCHxPA/ev17mud8v+6+427uxvzXAiY58LD\nXOfn7u521e0siwXuICtXrtSLL76owYMH33SwlC4tt123bt3fCpYAAACAESyLBe4gHTp0UIcOHZxd\nBgAAAHDT6FwCAAAAAAwjXAIAAAAADCNcAgAAAAAMI1wCAAAAAAwjXAIAAAAADCNcAgAAAAAMI1wC\nAAAAAAzjey4BOFWngGV/+1x3dzelp2fewmpwNcxz4WCeAQB3OzqXAAAAAADDCJcAAAAAAMMIlwAA\nAAAAwwiXAAAAAADDCJcAAAAAAMMIlwAAAAAAw/gqEgAAcN8YvizA2SUAuI+88+xSZ5dQqOhcAgAA\nAAAMI1wCAAAAAAwjXAIAAAAADCNcAgAAAAAMI1wCAAAAAAwjXAIAAAAADCNcAgAAAAAMI1wCAAAA\nAAwjXAIAAAAADCNcAk7m4+Ojf//7347Pa9asUUhIiKFr/vbbb2rUqJFmz57t2Pbyyy8buiYAAABw\nPYRL4A6wb98+/fzzz7fseh988IGefvrpfNu++eabW3Z9AAAA4H8RLoE7QO/evTVjxowrtp87d04j\nRoxQly5d1KFDByUkJEiSrFarRowYoXbt2qlDhw764YcfHOckJCSoatWqqlWrVr5rNWrU6PbeBAAA\nAO5rhEvgDtCmTRvt379fR48ezbc9MjJSzZs317Jly7RgwQJNnjxZ586d08KFCyVJsbGx+vDDDxUS\nEiKr1ars7GzNmjVLAwcOdMZtAAAA4D5WxNkFAJBcXFzUp08fzZw5U88884xj+3fffafExETNmTNH\n0qWO5YkTJ7Rz505169ZNkvToo4/qoYce0pEjRxQdHa2ePXuqdOnSTrkPAAAA3L8Il8Adwmw26/PP\nP9djjz2Wb/vUqVPl6elZoGv8+OOPWrt2rSIiInT27Fm5uLioePHijiAKAAAA3C4siwXuEEWLFlXP\nnj01b948x7ZWrVrpq6++kt1ulyTt379fktSkSRPFxsZKko4cOaITJ07I09NTX3/9tRITE5WYmKie\nPXvq9ddfJ1gCAACgUBAugTtIcHCwcnNzHZ8HDBig3NxctW/fXkFBQZoyZYokqWvXrrLb7WrXrp3e\neustTZw4UcWKFXNW2QAAAIBM9sstEQD3rNOnT6tTp05av379dY9LT88spIpuDXd3t7uu5rsR81w4\nmOfCEbEx2NklALiPvPPsUmeXcFu4u7tddTudS+Ael5aWppdffln//Oc/nV0KAAAA7mG80Ae4x1Wq\nVElr1651dhkAAAC4x9G5BAAAAAAYRrgEAAAAABhGuAQAAAAAGEa4BAAAAAAYRrgEAAAAABhGuAQA\nAAAAGMZXkQAAgPvGpC5rlJ6e6ewy7nnu7m7McyFgngsPc10wdC4BAAAAAIYRLgEAAAAAhhEuAQAA\nAACGES4BAAAAAIYRLgEAAAAAhhEuAQAAAACG8VUkAADgvhG4coizSwBwn5j/1Ghnl1Do6FwCAAAA\nAAwjXAIAAAAADCNcAgAAAAAMI1wCAAAAAAwjXAIAAAAADCNcAgAAAAAMI1wCAAAAAAwjXAIAAAAA\nDCNcAgAAAAAMI1wCAAAAAAwjXOKelJycLC8vL23atOmWX3vr1q16/fXX//b5n376qWbPnp1vm4+P\njzIyMiRJjz/+uMxms9q3b6+OHTtq165dhuoFAAAACgPhEvekuLg4NW7cWBaLxdml3LQSJUooOjpa\nMTExevvtt/XRRx85uyQAAADghoo4uwDgVrPb7VqzZo3mzp2rrl27ymq1qnjx4kpJSVHfvn1Vt25d\n7d+/X7Vq1dKkSZNUsmRJTZs2TevXr5fValWjRo00duxYmUwmHT16VKNGjVJGRoZcXV01ZcoUSdK5\nc+f05ptv6uDBg6pbt64iIiJkMpm0d+9effDBBzp37pzKly+viRMn6sEHH/zb95KVlaWyZctKkrKz\nszVgwACdPXtWubm5GjRokHx9fXXu3DkNHjxYv//+u/Ly8jRgwAAFBgbe8loAAACA6yFc4p6za9cu\neXh4qHr16mrWrJk2bNggf39/SdKRI0c0fvx4NW7cWCNGjNDXX3+tPn36qFu3bho4cKAkaejQoVq/\nfr18fHz0zjvvqF+/fmrdurWsVqvy8vJ04sQJ7d+/XxaLRQ8++KBeeeUV7dy5Uw0aNNC4ceM0ffp0\nVahQQatWrdLHH3+siRMnXlHjvHnzFBMT4/h88uRJx58vXLggs9ksq9Wq9PR0zZ8/X5JUvHhxffbZ\nZypTpowyMjL00ksv6YUXXtDmzZv14IMP6vPPP5ckZWZmKicnp8C1AAAAALcC4RL3HIvFoqCgIElS\nYGCgoqOjHeGySpUqaty4sSSpffv2+vLLL9WnTx9t3bpVX3zxhS5cuKAzZ86oVq1aevLJJ5WWlqbW\nrVtLuhTuLvP29lblypUlSbVr11ZqaqrKli2rgwcPqnfv3pKkvLw8ubu7X7XGXr16qU+fPo7PPj4+\njj9fXhYrSUlJSRo+fLji4uJkt9v10Ucfafv27XJxcVFaWppOnTqlxx57TJMmTdLkyZP1/PPPq0mT\nJjp48GCBawEAAABuBcIl7ik2m03x8fFat26dIiMjZbfbdebMGWVlZUmSTCZTvuNNJpOsVqvGjBmj\n5cuXq0qVKvr0009ltVqvO06xYsUcf3Z1dZXNZpPdbletWrW0ePHiW3Y/jRo10unTp5WRkaGNGzcq\nIyNDUVFRKlq0qHx8fGS1WlWjRg1FRUVp48aN+uSTT9S8eXO1bt36ltcCAAAAXA8v9ME9ZcuWLfLy\n8tLGjRuVmJio9evXy8/PTwkJCZKk3377TUlJSZL++9Kfy0GyfPnyys7O1tq1ayVJZcqUUeXKlR3n\nXrx4UefPn7/m2DVq1FBGRobj+jk5OTp06JCh+zl8+LBsNpseeOABZWZm6h//+IeKFi2qH374Qamp\nqZKktLQ0lSxZUmazWX369NH+/ftvSy0AAADA9dC5xD3FYrHI19c33zY/Pz8tWrRITZo0UY0aNbRw\n4UKFhoaqZs2aeuWVV1SyZEkFBwerbdu2qlixourXr+84Nzw8XCNHjtSUKVNUtGhRxwt9rqZYsWKa\nOnWqxo0bp8zMTNlsNvXs2VO1atW6qXu4/MyldOnlRJMmTZKrq6vatWun/v37q127dqpXr548PT0l\nSQcPHlR4eLhcXFxUpEgRjR49+pbVAgAAABSUyW63251dBFAYUlJS9MYbbyguLs7Zpdyx0tMznV3C\nTXF3d7vrar4bMc+Fg3kuHD3/M9rZJQC4T8x/arSzS7ht3N3drrqdZbEAAAAAAMMIl7hveHh40LUE\nAAAAbhPCJQAAAADAMMIlAAAAAMAwwiUAAAAAwDDCJQAAAADAMMIlAAAAAMAwwiUAAAAAwLAizi4A\nAACgsKzq8KHS0zOdXcY9z93djXkuBMxz4WGuC4bOJQAAAADAMMIlAAAAAMAwwiUAAAAAwDDCJQAA\nAADAMMIlAAAAAMAwwiUAAAAAwDC+igQAANw3gqI+dXYJAO4D857u5ewSnILOJQAAAADAMMIlAAAA\nAMAwwiUAAAAAwDDCJQAAAADAMMIlAAAAAMAwwiUAAAAAwDDCJQAAAADAMMIlAAAAAMAwwiUAAAAA\nwDDCJQAAAADAMMIl7grJycny8vLSpk2bnF3KdYWEhMjHx0dms1nt27fXli1bbur8lJQUtW3b9m/t\nnzJlir7//ntJ0o4dOxQUFCSz2azDhw8rNjb2puoAAAAAbhbhEneFuLg4NW7cWBaLxdml3NCwYcMU\nHR2t0NBQjRo1qtDGHTRokFq2bClJiomJUb9+/RQdHa1Tp04pLi6u0OoAAADA/amIswsAbsRut2vN\nmjWaO3euunbtKqvVquLFiyslJUV9+/ZVw4YNlZSUpHr16qlz586aOnWqMjIyFBERIW9vb+3evVvj\nx4+X1WpViRIlNGHCBHl6eiosLEx79+6VJKWlpalbt27617/+pfDwcG3evFkmk0n9+/dXYGCgtm7d\nqmnTpql8+fI6ePCg6tatq4iICJlMpmvW3ahRI6WlpTk+7927Vx988IHOnTun8uXLa+LEiXrwwQe1\nd+9ehYaGSpKeeuopx/GHDh3SiBEjlJOTo7y8PH366acqUqSIbDab3n33XSUlJalSpUqaPn26SpQo\noZCQED333HPKzMzUmjVr9N1332nTpk06fvy4Dh8+LLPZrI4dO6pXr1635wcFAACA+xqdS9zxdu3a\nJQ8PD1WvXl3NmjXThg0bHPuOHTum3r17a/Xq1Tpy5IhiY2O1aNEiDRs2TJGRkZIkT09PLVy4UCtX\nrtSbb76pjz/+WJI0fvx4RUdHa/r06Spfvrw6duyo+Ph4HThwQNHR0Zo7d67Cw8N18uRJSdL+/fsV\nGhqqVatWKSUlRTt37rxu3Zs3b5avr68kKScnR+PGjdPUqVMVFRWlzp07O+oYMWKE3nvvPcXExOQ7\n/5tvvlGPHj0UHR2t5cuXq3LlypKko0eP6tVXX5XFYpGbm5vWrl2b77zg4GD5+Pho2LBh+vDDDzVk\nyBA1adJE0dHRBEsAAADcNgXqXJ4/f16RkZFKSUnRhx9+qMOHD+vIkSOOX5yB28lisSgoKEiSFBgY\nqOjoaPn7+0uSPDw85OXlJUmqWbOmWrRoIZPJJC8vL6WmpkqSMjMzNXz4cB09elQmk0k5OTmOa1ut\nVg0aNEjvvfeeqlatqvnz5ysoKEiurq6qWLGimjZtqj179qhMmTLy9vZ2BLzatWsrNTVVTZo0uaLe\n8PBwffzxx/r999+1ePFiSdKRI0d08OBB9e7dW5KUl5cnd3d3nT17VpmZmWratKkkyWw2a/PmzZKk\nhg0bKjIyUr///rv8/Pz0yCOPOO758ccflyTVrVvXcZ8AAACAMxUoXI4ePVru7u46cOCAJKly5coa\nMmQI4RK3nc1mU3x8vNatW6fIyEjZ7XadOXNGWVlZkqRixYo5jnVxcXF8NplMstlski696KZZs2b6\n7LPPlJKSoh49ejjOGTVqlPz8/BzPKl7PX8dydXV1XP9/DRs2TAEBAfryyy8VGhqqqKgo2e121apV\nyxE2Lzt79uw1x2vXrp0aNGigDRs2qF+/fhozZoyqVat2RR1Wq/WGtQMAAAC3W4GWxf7000965513\nVLRoUUlS6dKllZeXd1sLAyRpy5Yt8vLy0saNG5WYmKj169fLz89PCQkJBb5GZmamKlWqJElasWKF\nY/vChQuVnZ2tfv36ObY1adJEq1evls1mU0ZGhnbs2CFvb++/VXu3bt2Ul5enzZs3q0aNGsrIyFBS\nUpKkS8tkDx06pLJly8rNzU07duyQpHxvdT1+/LiqVaumHj166IUXXtBPP/30t+ooXbq0srOz/9a5\nAAAAQEEVKFz+tVMiXVpKaLfbb0tBwF9ZLJb/Z+/+42uuG/+PP8/OzLAzPw8qqwthq2i5EIXVDNnM\n/Kxd8lu/XEVI+U0hIuViV1x86oP87rIxG6NEuMIQfVEp5MeIGWtsfuzH2fv7h49zu9b82HpvOzaP\n++3W7ea83+/zej/fr7I8vd7nfXKtkLdp0yZfTz996aWX9PHHH6tjx47Kyspybv/ss8/0yy+/KCws\nTGFhYVq2bJlat26tunXrKiwsTL1799bbb78tu93+p7LfeCDQp59+Kg8PD82aNUvTp09Xhw4d1LFj\nR2fRnDJliiZMmKCwsLAcv6/i4uLUvn17hYWF6ZdfflHHjh3/VI569erJzc1NHTp00IIFC/7UGAAA\nAMCdWIw8tMRp06bJ29tba9as0fjx4zV//nzVq1dPQ4YMKYqMAIpIUlKqqyPki91uK3aZiyPmuWgw\nz0Wjz7YFro4A4B6woEUfV0coVHa77abb87RyOWTIEBmGoXLlyunDDz9UgwYNNHDgwAINCAAAAAAo\nvu74QB+Hw6GoqCgNGDBAAwYMKIpMAAAAAIBi5o4rl1arNdcTLgEAAAAA+G95ui32ySef1Pr16ws7\nCwAAAACgmMrT91yuWrVK8+fPl6enp8qUKSPDMGSxWLRjx47CzgcAAAAAKAbyVC4jIyMLOwcAAAAA\noBjLU7l84IEHCjsHAAAAAKAYy1O5bNq0qSwWS67t3BYLAAAAAJD+xG2x6enpiomJkbt7nt4KAABw\n11jbeaCSklJdHaPEs9ttzHMRYJ6LDnOdN3l6WuwDDzzg/KdWrVp68803tWXLlsLOBgAAAAAoJvJU\nLv8oISFBFy5cKOgsAAAAAIBiKt+fuczOzlZWVpZGjRpVqMEAAAAAAMVHvj9z6e7uripVqshqtRZa\nKAAAAABA8ZKn22IXLFjg/MxltWrVZLVa9f777xd2NgAAAABAMZGncrlnz55c23bv3l3gYQAAAAAA\nxdNtb4uNi4tTXFycTp8+rTfffNO5PS0tTZ6enoUeDgAAoCC1X7nE1REAlHDzAzq4OoLL3LZc1qxZ\nU88884wOHDigZ555xrndy8tLzZo1K+xsAAAAAIBi4rbl0tfXV76+vgoMDFSFChWKKhMAAAAAoJjJ\n09Nivby8tGLFCv30009KT093bp8yZUqhBQMAAAAAFB95eqDPuHHjtHfvXn3zzTf6y1/+ooMHD/KZ\nSwAAAACAU57K5YEDBzR16lTZbDa9+uqrWrp0qY4cOVLY2QAAAAAAxUSeymXp0qUlSVarVVevXpXN\nZtOFCxcKNRgAAAAAoPjI02cuy5cvr4sXL6pFixZ6+eWXVbFiRVWrVq2wswEAAAAAiok8lct58+bJ\narVqyJAhiomJUWpqqjp27FjY2QAAAAAAxUSeyqXValVaWppOnDihsLCwws4EAAAAAChm8vSZyy1b\ntigkJEQDBw6UdP0BP6+99lqhBgMAAAAAFB95KpezZs3SypUr5e3tLUmqX7++Tp48WajBgKLw008/\nqV69etq6dWuBjx0fH69XX331T78/IiJCn332WY5tgYGBSk5OliSFh4ebygcAAAAUpDyVS0my2+05\nXnt4eBR4GKCoxcbG6q9//avWrl3r6ij5tnz5cldHAAAAAJzyVC7LlSun8+fPy2KxSLq+ImOz2Qo1\nGFDYDMPQ+vXr9cEHH+jbb79Venq6JOnUqVN67rnn9NZbb6ldu3YaNGiQrl69Kkn65z//qS5duqh9\n+/YaO3asDMOQJJ04cUJ9+vRRhw4d1KlTJ+fK/pUrVzRo0CDneDeOP3jwoHr06KHOnTurf//+Onfu\nXL7zP/HEE5KkIUOG6JtvvnFuHzFihNavXy+Hw6GpU6eqS5cuCg0NpYwCAACgUN22XB4/flySNGzY\nML388ss6deqUevbsqf7nqwsAACAASURBVGHDhmn48OFFkQ8oNHv37lWNGjX04IMP6sknn8xR0I4d\nO6bu3bsrLi5O5cqV09KlSyVJPXr0UGRkpGJjY3Xt2jVt3rxZ0vXfIy+++KLWrFmj5cuXO1f6f/zx\nR40aNUrr1q3TqVOn9N133ykzM1OTJk3SrFmzFBUVpS5dumjGjBk3zbhgwQKFhYU5/7lZCQ0ODlZc\nXJwkKSMjQzt27NAzzzyjlStXymazKTIyUpGRkfriiy+UkJBQkFMIAAAAON32abFDhw5VVFSUPvro\nI33++efau3evpOsrJjc+fwkUV2vXrlVISIik6wUtOjpabdu2lSTdd999+utf/ypJ6tChgxYtWqT+\n/fsrPj5en376qa5du6aUlBTVqVNHTZo0UWJiolq3bi1JKl26tPMcDRo0UPXq1SVJvr6+On36tLy9\nvfXLL7+ob9++kqTs7Oxct53f0KdPH/Xv39/5OjAwMNcxLVu21Pvvv6+MjAxt3bpVjRo1kqenp779\n9lv9/PPP2rBhgyQpNTVVJ06ckI+Pj6l5AwAAAG7mtuXy2rVr2rBhg3777TdnsZSkffv2SZICAgIK\nNx1QSBwOh7788kt9/fXX+te//iXDMJSSkqK0tDRJct4CfoPFYlF6erree+89RUZG6r777lNERITz\nVtpb+e/PJlutVjkcDhmGoTp16mjFihUFci2lS5dWkyZNtG3bNsXFxSk4OFjS9dt+x4wZoxYtWhTI\neQAAAIDbue1tsUOHDtXKlSt1/vx5ffrppzn++eNTLIHiZMeOHapXr562bNmiTZs2afPmzWrTpo02\nbtwoSfrtt9+cf4ly46E/N4pkxYoVdfnyZeeKoJeXl6pXr+58b0ZGhvMzmjdTs2ZNJScnO8fPzMzU\n4cOHTV1PcHCwoqKitGfPHmeZbN68uZYtW6bMzExJ12/1vXLliqnzAAAAALdy25XLoKAgBQUFacqU\nKRo5cmRRZQIK3dq1axUUFJRjW5s2bbRs2TI1atRINWvW1JIlSzRq1Cg9/PDD+tvf/qYyZcqoW7du\nat++vapUqaL69es73ztt2jSNGzdOM2fOVKlSpTRz5sxbntvDw0OzZs3SpEmTlJqaKofDod69e6tO\nnTp/+nqefvppvfPOO2rVqpVztbRbt246ffq0OnfuLMMwVLFiRc2ePftPnwMAAAC4HYtx4/GVACRd\nf1rsa6+9ptjYWFdHKXJJSamujpAvdrut2GUujpjnosE8F42+W9a4OgKAEm5+QAdXRyh0dvvNvzkk\nz99zCQAAAADArVAugT+oUaPGPblqCQAAAJhBuQQAAAAAmEa5BAAAAACYRrkEAAAAAJhGuQQAAAAA\nmEa5BAAAAACYRrkEAAAAAJjm7uoAAAAARSW264tKSkp1dYwSz263Mc9FgHkuOsx13rByCQAAAAAw\njXIJAAAAADCNcgkAAAAAMI1yCQAAAAAwjXIJAAAAADCNcgkAAAAAMI2vIgEAAPeMsJVxro4AoAT6\nNKC5qyPcFVi5BAAAAACYRrkEAAAAAJhGuQQAAAAAmEa5BAAAAACYRrkEAAAAAJhGuQQAAAAAmEa5\nBAAAAACYRrkEAAAAAJhGuQQAAAAAmEa5BAAAAACYRrnEPSMwMFChoaEKCwtTWFiYJk2aJEkaMWKE\n1q9fn+/x4uPjtXfvXufrZcuWafXq1QWW14xTp06pffv2ro4BAACAe4i7qwMARWnhwoWqVKlSgYy1\na9culS1bVg0bNpQk/e1vfyuQcfMjKytL7u78NgYAAIDr8adS4L/885//1ObNm5Wenq4nnnhCEyZM\nkMVi0eeff67ly5fLarXq4Ycf1ltvvaXly5fLzc1Na9as0dixY7Vjxw6VLVtW/fv314kTJzR+/Hgl\nJyfLarVq5syZ8vT01JAhQ5SWliaHw6F3331XjRo10n/+8x9FREQoIyNDPj4+mjJlisqVK3fLLD17\n9pSvr6++++47tW/fXh06dND48eOVkJAgSXr33XdVtWpVORwOjRkzRvv27VO1atU0e/ZseXp6uniG\nAQAAUFJRLnFP6d27t9zcrt8N3qlTJ/Xp0yfH/h49euiNN96QJL399tvavHmzAgMDNW/ePG3atEke\nHh66dOmSvL29FR4e7iyTkrRjxw7nOMOGDdMrr7yi1q1bKz09XdnZ2Vq2bJmaN2+uAQMGyOFw6OrV\nq0pOTtacOXM0f/58lS1bVvPmzdP8+fP1xhtv3DKLJGVmZioqKkqSNHjwYDVu3FiffPKJHA6Hrly5\noosXL+rEiRP6+OOPNWnSJL355pvasGGDwsLCCnV+AQAAcO+iXOKecqfbYuPj4/Xpp5/q2rVrSklJ\nUZ06dRQYGKh69epp2LBhatWqlYKCgm57jrS0NCUmJqp169aSpNKlS0uS6tevr1GjRikrK0tBQUHy\n8/PT5s2bdeTIEecttZmZmfL3979tFkkKDg52nm/nzp2aNm2aJMlqtcpms+nixYuqUaOG/Pz8JEmP\nPvqoTp8+/WemDAAAAMgTyiXwf9LT0/Xee+8pMjJS9913nyIiIpSeni5Jmjdvnnbv3q3NmzfrX//6\nl2JiYvI9fuPGjbV48WJt2bJFI0aMUN++feXt7a2nn35aH3/8cZ6zSFKZMmXueD4PDw/nr61Wa473\nAwAAAAWNp8UC/+dG+apYsaIuX76sDRs2SJKys7N15swZNW3aVMOGDVNqaqquXLmicuXK6fLly7nG\n8fLyUvXq1bVx40ZJUkZGhq5evarTp0+rSpUqev7559WtWzf98MMP8vf31969e3XixAlJ0pUrV3Ts\n2LFbZrmZZs2aaenSpZIkh8Oh1NTUgpsUAAAAII9YucQ95b8/c1mvXj3n7aSS5O3trW7duql9+/aq\nUqWK6tevL+l6YXv77beVlpYmwzDUq1cveXt769lnn9WgQYP09ddfa+zYsTnOM23aNI0bN04zZ85U\nqVKlNHPmTO3Zs0efffaZ3N3dVbZsWU2dOlWVKlXSlClTNHToUGVkZEi6/hnKmjVr3jTLzYwePVpj\nx45VZGSk3Nzc9O6778putxf01AEAAAC3ZTEMw3B1CAB3h6Sk4rXqabfbil3m4oh5LhrMc9F4act/\nXB0BQAn0aUBzV0coUna77abbuS0WAAAAAGAa5RIAAAAAYBrlEgAAAABgGuUSAAAAAGAa5RIAAAAA\nYBrlEgAAAABgGuUSAAAAAGAa5RIAAAAAYJq7qwMAAAAUleiu7ZSUlOrqGCWe3W5jnosA81x0mOu8\nYeUSAAAAAGAa5RIAAAAAYBrlEgAAAABgGuUSAAAAAGAa5RIAAAAAYBrlEgAAAABgGl9FAgAA7hld\nI/e6OgKAEmZOyzqujnDXYOUSAAAAAGAa5RIAAAAAYBrlEgAAAABgGuUSAAAAAGAa5RIAAAAAYBrl\nEgAAAABgGuUSAAAAAGAa5RIAAAAAYBrlEgAAAABgGuUSAAAAAGAa5RL3vMDAQHXv3j3HtrCwMLVv\n395FiXKLiIjQZ5999qffHxUVpQkTJhRgIgAAACAnyiUg6fLlyzpz5owk6ejRoy5OAwAAABQ/7q4O\nANwN2rVrp3Xr1ql///6KjY1VSEiI1qxZI0lyOByaPn26du3apYyMDL344osKDw9XfHy8IiIiZLPZ\n9Msvv6hdu3aqW7euPv/8c6Wnp+uTTz7Rgw8+qPPnz2v8+PFKSEiQJL377rtq2LCh/v73v+vs2bNK\nT09Xr1699MILL0iStm7dqhkzZsjhcKhixYpauHChJOnIkSPq2bOnfvvtN/Xu3Vu9evWSJEVHR2vR\nokXKzMzU448/rvHjx8tqtSoyMlLz5s2TzWaTr6+vPDw8XDCzAAAAuFewcglIatOmjb766itJ0ubN\nmxUYGOjct3LlStlsNkVGRioyMlJffPGFsygeOnRI7733nuLi4hQdHa3jx49r5cqV6tq1qxYtWiRJ\nmjRpkho3bqw1a9Zo1apVqlOnjiRp8uTJioqKUmRkpBYtWqTff/9dycnJGjt2rGbNmqU1a9Zo5syZ\nzhzHjh3TZ599pn//+9/65JNPlJmZqaNHjyouLk7Lli1TdHS03NzcFBMTo3PnzikiIkLLli3T0qVL\ndeTIkaKaSgAAANyjWLkEJFWoUEHe3t5au3atateuLU9PT+e+b7/9Vj///LM2bNggSUpNTdWJEydU\nqlQp1a9fX1WrVpUkPfjgg3r66aclSXXr1lV8fLwkaefOnZo2bZokyWq1ymazSZIWLVrkLLRnzpzR\niRMnlJycrEaNGsnHx8eZ64aAgAB5eHioUqVKqlSpki5cuKAdO3bo4MGD6tq1qyTp2rVrqly5svbv\n368mTZqoUqVKkqTg4GAdP368UOYOAAAAkCiXgFNwcLAmTJigKVOm5NhuGIbGjBmjFi1a5NgeHx+f\n41ZTNzc352s3Nzc5HI5bnis+Pl7bt2/XihUrVKZMGfXs2VPp6em3zfff57JarcrKypJhGOrUqZPe\neuutHMdu3Ljx9hcLAAAAFDBuiwX+T1BQkPr376/mzZvn2N68eXMtW7ZMmZmZkq7fnnrlypU8j9us\nWTMtXbpU0vXPb6ampio1NVXly5dXmTJldPToUX3//feSJH9/f+3Zs8d5221KSsodx96wYYMuXLjg\nPP706dNq0KCBdu/erd9//12ZmZlav359nvMCAAAAfwYrl8D/8fLy0iuvvJJre7du3XT69Gl17txZ\nhmGoYsWKmj17dp7HHT16tMaOHavIyEi5ubnp3XffVcuWLbV8+XK1a9dONWvWlL+/vySpUqVKmjBh\nggYOHKjs7GxVrlxZ8+fPv+XYDz/8sAYPHqx+/fopOztbpUqV0rhx4+Tv76833nhD4eHhstls8vPz\ny/+EAAAAAPlgMQzDcHUIAHeHpKRUV0fIF7vdVuwyF0fMc9FgnovGgK2HXR0BQAkzp2UdV0cocna7\n7abbuS0WAAAAAGAa5RIAAAAAYBrlEgAAAABgGuUSAAAAAGAa5RIAAAAAYBrlEgAAAABgGuUSAAAA\nAGAa5RIAAAAAYJq7qwMAAAAUlZVdGiopKdXVMUo8u93GPBcB5rnoMNd5w8olAAAAAMA0yiUAAAAA\nwDTKJQAAAADANMolAAAAAMA0yiUAAAAAwDTKJQAAAADANL6KBAAA3DOmrjrj6gj3iDRXB7hHMM9F\nJ/dc92vu5YIcdzdWLgEAAAAAplEuAQAAAACmUS4BAAAAAKZRLgEAAAAAplEuAQAAAACmUS4BAAAA\nAKZRLgEAAAAAplEuAQAAAACmUS4BAAAAAKa5uzoAcDcJDAxUuXLlJEl2u11Tp06V3W7P1xhRUVF6\n+umnVa1atQLJlJ2drcmTJ2vnzp2yWCzy8PDQP/7xD/n4+Cg1NVUTJ07Uvn37ZBiGHn/8cY0bN07l\ny5fXqVOn9Nprryk2NrZAcgAAAAC3w8ol8AcLFy5UTEyMHnvsMc2dOzff71+1apXOnTuXr/dkZWXd\nct+6det07tw5rVmzRjExMfrkk0/k7e0tSRo9erR8fHz01VdfaePGjXrooYc0YsSIfGcGAAAAzGLl\nEriFRo0aadGiRZKk2NhYzZ07V4ZhKCAgQG+//bYcDodGjx6tgwcPymKxqEuXLqpevboOHjyoYcOG\nydPTUytWrFB8fLymTJmismXLqmHDhkpISNDcuXMVERGhkydPKiEhQffff78+/PBDTZ8+Xbt27VJG\nRoZefPFFhYeHKykpSXa7XW5u1/8uqHr16pKkEydO6ODBg5oxY4Yz8+uvv67WrVvr119/lYeHR9FP\nGgAAAO5ZlEvgFr755hvVrVtXiYmJmj59uqKiouTt7a1+/fpp48aNql69uhITE523nV66dEne3t5a\nsmSJ3nnnHdWvX1/p6ekaN26cFi9eLB8fHw0dOjTHOY4ePaqlS5c6i6jNZlNkZKQyMjIUHh6up59+\nWu3atVP37t21Z88eNWvWTB06dNAjjzyiI0eOyM/PT1ar1Tme1WqVn5+ffv31V/n6+hbpfAEAAODe\nxm2xwB/07t1bYWFhSktL06uvvqoDBw6oSZMmqlSpktzd3RUaGqrdu3fLx8dHCQkJmjhxorZu3Sov\nL69cY/3666/y8fGRj4+PJCkkJCTH/sDAQHl6ekqSvv32W0VHRyssLEzdunVTSkqKTpw4oerVq2v9\n+vUaOnSoLBaL+vTpox07dhT+RAAAAAD5wMol8AcLFy5UpUqV7nhc+fLlFR0drf/85z9avny54uLi\nNGXKlHydq0yZMs5fG4ahMWPGqEWLFrmO8/DwUEBAgAICAlSlShVt3LhRvXr10k8//aTs7GznLbPZ\n2dk6dOiQHnnkEWVnZ+crCwAAAGAGK5fAHTRo0EC7d+9WcnKyHA6H1q5dq8aNGys5OVmGYaht27Ya\nPHiwfvzxR0lSuXLldPnyZUlSzZo1lZCQoFOnTkm6/nCeW2nevLmWLVumzMxMSdKxY8d05coV/fDD\nD0pMTJR0vTz+/PPPuv/++/XQQw/pkUce0ezZs51jzJ49W82aNdP9999fKHMBAAAA3Aorl8AdVK1a\nVW+99ZZ69+7tfKBPUFCQDh06pJEjRzpXCG98nrJTp04aP36883OU48eP10svvaSyZcvqscceu+V5\nunXrptOnT6tz584yDEMVK1bU7NmzdeHCBY0dO1YZGRmSpPr166tHjx6SpMmTJ2vixIkKCgpSWlqa\n6tevr3/961/OMY8dO6aWLVs6X48cOVLt2rUr8DkCAAAALIZhGK4OAZRkly9fVrly5WQYht577z39\n5S9/UZ8+fQr8PL/++qteffVVjRkzRgEBAX9qjKSk1AJOVbjsdluxy1wcMc9Fg3kuGv/7nzRXRwBQ\nQvRrnvt5G/cKu9120+2sXAKF7N///rdWrVqlzMxM+fn56YUXXiiU89SqVUtfffVVoYwNAAAA3Anl\nEihkffr0KZSVSgAAAOBuwgN9AAAAAACmUS4BAAAAAKZRLgEAAAAAplEuAQAAAACmUS4BAAAAAKZR\nLgEAAAAAplEuAQAAAACm8T2XAADgnjG8031KSkp1dYwSz263Mc9FgHkuOsx13rByCQAAAAAwjXIJ\nAAAAADCNcgkAAAAAMI1yCQAAAAAwjXIJAAAAADCNcgkAAAAAMI2vIgEAAPeMuBXnXR3hHpHu6gD3\nCOa5KDQKLO3qCMUGK5cAAAAAANMolwAAAAAA0yiXAAAAAADTKJcAAAAAANMolwAAAAAA0yiXAAAA\nAADTKJcAAAAAANMolwAAAAAA0yiXAAAAAADT3F0dAIAUGBiocuXKSZLKly+vqVOn6oEHHsjz+6Oi\nonTw4EGNGzdOy5YtU5kyZdSxY8fCigsAAADkwsolcJdYuHChYmJi1KRJE82ZM+dPj/O3v/2NYgkA\nAIAix8olcJfx9/fXokWLnK+jo6O1aNEiZWZm6vHHH9f48eNltVoVGRmpefPmyWazydfXVx4eHpKk\niIgIlS1bVv3799fnn3+u5cuXy2q16uGHH9aMGTNcdVkAAAAo4SiXwF1m27ZtCgoKkiQdPXpUcXFx\nWrZsmUqVKqV3331XMTExeuqppxQREaGoqCh5eXmpV69eeuSRR3KNNW/ePG3atEkeHh66dOlSUV8K\nAAAA7iGUS+Au0bt3b6WkpKhs2bJ68803JUk7duzQwYMH1bVrV0nStWvXVLlyZe3fv19NmjRRpUqV\nJEnBwcE6fvx4rjHr1aunYcOGqVWrVs7CCgAAABQGPnMJ3CUWLlyozZs3y8/PTxEREZIkwzDUqVMn\nRUdHKzo6Whs2bNDAgQPzPOa8efPUvXt3/fjjj+ratauysrIKKz4AAADucZRL4C7i7u6uUaNGafXq\n1UpJSVGzZs20YcMGXbhwQZKUkpKi06dPq0GDBtq9e7d+//13ZWZmav369bnGys7O1pkzZ9S0aVMN\nGzZMqampunLlSlFfEgAAAO4R3BYL3GWqVq2q9u3ba8mSJXr99dc1ePBg9evXT9nZ2SpVqpTGjRsn\nf39/vfHGGwoPD5fNZpOfn1+ucRwOh95++22lpaXJMAz16tVL3t7eLrgiAAAA3AsshmEYrg4B4O6Q\nlJTq6gj5Yrfbil3m4oh5LhrMc9HYsynd1REAFDONAkvzM/oP7HbbTbdzWywAAAAAwDTKJQAAAADA\nNMolAAAAAMA0yiUAAAAAwDTKJQAAAADANMolAAAAAMA0yiUAAAAAwDTKJQAAAADANMolAAAAAMA0\nd1cHAAAAKCrtXqiipKRUV8co8ex2G/NcBJhn3G1YuQQAAAAAmEa5BAAAAACYRrkEAAAAAJhGuQQA\nAAAAmEa5BAAAAACYRrkEAAAAAJjGV5EAKBHORV5xdYQS65yY26LAPBcN+2s2V0cAgBKLlUsAAAAA\ngGmUSwAAAACAaZRLAAAAAIBplEsAAAAAgGmUSwAAAACAaZRLAAAAAIBplEsAAAAAgGmUSwAAAACA\naZRLAAAAAIBp7q4OAJQUgYGBql69upYuXercFhYWJofDodjY2HyNFR4eruXLl9/2GD8/P9WtW1dZ\nWVmyWq3q2LGj+vTpIzc3N8XHx+vvf/+7atSooezsbFWuXFkfffSRKleu/KeuDQAAALgTVi6BAnT5\n8mWdOXNGknT06NF8vz8rK0uS7lgsJcnT01PR0dFau3at5s+fr61bt+qf//ync3+jRo0UHR2tmJgY\n1a9fX0uWLMl3HgAAACCvKJdAAWrXrp3WrVsnSYqNjVVISIhz36lTp9S9e3d16tRJnTp10t69eyVJ\n8fHx6t69u1577TXn8U888YSk62W1d+/e6tSpk0JDQ7Vx48abnrdy5cqaOHGilixZIsMwcuwzDEOX\nL1+Wt7d3gV8vAAAAcAO3xQIFqE2bNho1apT69++vzZs3a/r06VqzZo2k6wVw/vz5Kl26tI4fP66h\nQ4cqKipKkvTjjz8qJiZGPj4+OcYrXbq0PvnkE3l5eSk5OVkvvPCCWrVqJYvFkuvcPj4+cjgcunDh\ngiRpz549CgsLU0pKisqUKaOhQ4cW8tUDAADgXka5BApQhQoV5O3trbVr16p27dry9PR07svKytKE\nCRN06NAhubm56fjx48599evXz1Uspeurjh9//LF2794tNzc3JSYm6vz587Lb7XfM0qhRI82dO1eS\nNG/ePE2bNk0TJkwwf5EAAADATXBbLFDAgoODNWHChBy3xErSggULVKVKFUVHRysyMlKZmZnOfWXL\nlr3pWDExMUpOTlZUVJSio6NVpUoVpaen3/TYhIQEWa3Wmz60p1WrVtqzZ4+JqwIAAABuj5VLoIAF\nBQXp3Llzat68uc6dO+fcnpqaqurVq8vNzU2rVq2Sw+G441ipqamqXLmySpUqpZ07d+r06dM3PS45\nOVnjx4/Xiy++eNNbZr/77js9+OCDf/6iAAAAgDugXAIFzMvLS6+88kqu7d27d9fAgQO1evVqtWjR\n4parlf8tNDRUAwYMUGhoqB577DHVqlXLue/atWsKCwtzfhVJWFiY+vbt69x/4zOXhmHIZrNp0qRJ\nBXOBAAAAwE1YjD8+WhLAPSspKdXVEfLFbrc5M5+LvOLiNACKg0dfq1bsftYVR//98xmFh3kuOsx1\nTna77abb+cwlAAAAAMA0yiUAAAAAwDTKJQAAAADANMolAAAAAMA0yiUAAAAAwDTKJQAAAADANMol\nAAAAAMA0yiUAAAAAwDTKJQAAAADANHdXBwCAglC1S1lXRyix7HabkpJSXR2jxGOeAQDFHSuXAAAA\nAADTKJcAAAAAANMolwAAAAAA0yiXAAAAAADTKJcAAAAAANMolwAAAAAA0/gqEgAAcM84+9EhV0e4\nJ5x1dYB7BPOcf9ZeD7g6QonGyiUAAAAAwDTKJQAAAADANMolAAAAAMA0yiUAAAAAwDTKJQAAAADA\nNMolAAAAAMA0yiUAAAAAwDTKJQAAAADANMolAAAAAMA0d1cHAO52ly9f1tSpU7V9+3Z5e3urXLly\nGjZsmB5//HFXR1NUVJQOHjyocePGuToKAAAA7nGUS+AOxowZoxo1aujLL7+Um5ubEhISdPToUVfH\nuq2srCy5u/PbGwAAAEWHP30Ct3Hy5En9v//3/zR9+nS5uV2/i9zHx0c+Pj6SpL///e86e/as0tPT\n1atXL73wwgtyOBwaPXq0Dh48KIvFoi5duqhPnz76/PPPtXz5clmtVj388MOaMWOG9u/fr/fff1/p\n6eny9PTU5MmTVatWLUVFRWnTpk26evWqEhISFBQUpHfeeUeSFBkZqXnz5slms8nX11ceHh6SpBEj\nRsjDw0M//fSTGjZsqJCQkJuODQAAABQGyiVwG4cPH5afn5+sVutN90+ePFkVKlTQtWvX1LVrV7Vp\n00anT59WYmKiYmNjJUmXLl2SJM2bN0+bNm2Sh4eHc1utWrW0ZMkSubu7a/v27ZoxY4YiIiIkST/9\n9JNWr14tDw8PPffcc+rZs6esVqsiIiIUFRUlLy8v9erVS4888ogzT2JiorPApqWl3XJsAAAAoKBR\nLgETFi1apK+++kqSdObMGZ04cUI1a9ZUQkKCJk6cqICAADVv3lySVK9ePQ0bNkytWrVSUFCQJCk1\nNVXDhw/XiRMnZLFYlJmZ6Ry7WbNmstlskqTatWvr9OnTSklJUZMmTVSpUiVJUnBwsI4fP+58z3PP\nPecswrcbGwAAAChoPC0WuI06dero0KFDcjgcufbFx8dr+/btWrFihdasWaNHHnlE6enpKl++vKKj\no9WkSRMtX75co0ePlnR95bJ79+768ccf1bVrV2VlZWnmzJl68sknFRsbqzlz5igjI8M5/o3bXSXJ\narXeNMMflSlTxvnr240NAAAAFDTKJXAbDz74oB577DHNmjVLhmFIkk6dOqVvvvlGqampKl++vMqU\nKaOjR4/q+++/lyQlJyfLMAy1bdtWgwcP1o8//qjs7GydOXNGTZs21bBhw5SamqorV64oNTVV1apV\nkyStWrXqjnka5YiCgwAAFC9JREFUNGig3bt36/fff1dmZqbWr19/y2PzOzYAAABgBrfFAnfw/vvv\n64MPPlDr1q3l6empihUr6u2335avr6+WL1+udu3aqWbNmvL395cknTt3TiNHjlR2drYkaejQoXI4\nHHr77beVlpYmwzDUq1cveXt766WXXtKIESM0Z84cBQQE3DFL1apV9cYbbyg8PFw2m01+fn63PDa/\nYwMAAABmWIwbyzEA7nlJSamujpAvdrut2GUujpjnosE8Fw3H56ddHQGAC1l7PfCn3sfP6JzsdttN\nt3NbLAAAAADANMolAAAAAMA0yiUAAAAAwDTKJQAAAADANMolAAAAAMA0yiUAAAAAwDTKJQAAAADA\nNMolAAAAAMA0yiUAAAAAwDR3VwcAAAAoKtXf8lVSUqqrY5R4druNeS4CzDPuNqxcAgAAAABMo1wC\nAAAAAEyjXAIAAAAATKNcAgAAAABMo1wCAAAAAEzjabEAAOCecS5is6sj3BPOuTrAPYJ5zh9LeCNX\nRyjxWLkEAAAAAJhGuQQAAAAAmEa5BAAAAACYRrkEAAAAAJhGuQQAAAAAmEa5BAAAAACYRrkEAAAA\nAJhGuQQAAAAAmEa5BAAAAACYRrkEAAAAAJhGuQQKUGBgoJKTkyVJfn5+CgsLU4cOHdSpUyft3btX\nknTq1CnVq1dPM2bMcL4vOTlZjz76qCZMmJBrzKioKDVt2lQdO3ZUmzZt1L9/f+dYktSzZ08dOHAg\n1/vWrFmj0NBQhYaGKjw8XIcOHSroywUAAACcKJdAIfH09FR0dLTWrFmjoUOH6uOPP3buq1GjhrZs\n2eJ8vX79ej388MO3HCs4OFirV6/Wl19+qZdfflkDBw7U0aNHb3v+GjVqaPHixYqJidGAAQM0duxY\n8xcFAAAA3ALlEigCaWlp8vb2dr4uU6aMateu7VxxjIuLU7t27fI0VtOmTfX8889rxYoVzm3R0dEK\nCwtT+/bttX//fklSw4YNVb58eUmSv7+/zp49W1CXAwAAAOTi7uoAQEl17do1hYWFKT09XUlJSVq4\ncGGO/cHBwVq3bp2qVKkiNzc3Va1aVefOncvT2I8++qiWL1+e41zR0dHavXu3Ro0apdjY2BzHr1y5\nUi1btjR/UQAAAMAtUC6BQnLjtlhJ2rdvn4YPH56j9LVo0UIzZ85U5cqVFRwcnK+xDcPI8TokJESS\n1LhxY6WlpenSpUvOldKdO3dq5cqVWrp0qZnLAQAAAG6L22KBIvDEE0/o999/dz7sR5I8PDz06KOP\nav78+Wrbtm2+xvvxxx9Vu3Zt52uLxZJj/43Xhw4d0pgxYzR79mxVrFjRxBUAAAAAt0e5BIrA0aNH\n5XA4VKFChRzb+/Xrp2HDhuXafju7du3SF198oeeff965bd26dZKkPXv2yGazyWaz6bffftPAgQM1\nbdo01axZs2AuBAAAALgFbosFCsmNz1xK129jnTp1qqxWa45j6tSpozp16txxrHXr1um7777TtWvX\nVKNGDc2aNSvHymXp0qXVsWNHZWVlafLkyZKkTz75RCkpKXrvvfckSVarVVFRUQV1eQAAAEAOFuOP\nH94CcM9KSkp1dYR8sdttxS5zccQ8Fw3muWgYy/e4OgIAF7GEN/rT7+VndE52u+2m27ktFgAAAABg\nGuUSAAAAAGAa5RIAAAAAYBrlEgAAAABgGuUSAAAAAGAa5RIAAAAAYBrlEgAAAABgGuUSAAAAAGCa\nu6sDAAAAFJWqA5/li9CLAF84XzSYZ9xtWLkEAAAAAJhGuQQAAAAAmEa5BAAAAACYZjEMw3B1CAAA\nAABA8cbKJQAAAADANMolAAAAAMA0yiUAAAAAwDTKJQAAAADANMolAAAAAMA0yiUAAAAAwDTKJYBi\n5x//+IdCQ0MVFhamfv36KTExUZJkGIYmTZqk1q1bKzQ0VD/88IOLkxZvU6dO1XPPPafQ0FC9/vrr\nunTpknPf3Llz1bp1a7Vt21bbtm1zYcriLy4uTiEhIfL19dWBAwdy7GOeC9bWrVvVtm1btW7dWvPm\nzXN1nBJj5MiRatasmdq3b+/clpKSor59+6pNmzbq27evLl686MKEJcOZM2fUs2dPBQcHKyQkRAsX\nLpTEXBe09PR0de3aVR06dFBISIhmzZolSUpISFC3bt3UunVrDR48WBkZGS5OepcyAKCYSU1Ndf56\n4cKFxtixYw3DMIxvvvnG6N+/v5GdnW3s27fP6Nq1q6silgjbtm0zMjMzDcMwjGnTphnTpk0zDMMw\nDh8+bISGhhrp6enGyZMnjVatWhlZWVmujFqsHTlyxDh69KjRo0cPY//+/c7tzHPBysrKMlq1amWc\nPHnSSE9PN0JDQ43Dhw+7OlaJsGvXLuPgwYNGSEiIc9vUqVONuXPnGoZhGHPnznX+/MCfl5iYaBw8\neNAwjOv/H2zTpo1x+PBh5rqAZWdnG2lpaYZhGEZGRobRtWtXY9++fcagQYOM2NhYwzAMY+zYscaS\nJUtcGfOuxcolgGLHy8vL+eurV6/KYrFIkr7++mt17NhRFotF/v7+unTpks6dO+eqmMVe8+bN5e7u\nLkny9/fX2bNnJV2f55CQEHl4eMjHx0cPPfSQ9u/f78qoxVrt2rVVq1atXNuZ54K1f/9+PfTQQ/Lx\n8ZGHh4dCQkL09ddfuzpWidC4cWOVL18+x7YbP48lqWPHjtq4caMropUoVatW1aOPPirp+v8Ha9Wq\npcTEROa6gFksFpUrV06SlJWVpaysLFksFu3cuVNt27aVJHXq1ImfH7dAuQRQLM2YMUMBAQGKiYnR\nm2++KUlKTExU9erVncdUr17decsszImMjFTLli0l5Z7natWqMc+FgHkuWMxn0bpw4YKqVq0qSbLb\n7bpw4YKLE5Usp06d0k8//aTHH3+cuS4EDodDYWFheuqpp/TUU0/Jx8dH3t7ezr9w5c8Xt+bu6gAA\ncDN9+vTR+fPnc20fPHiwgoKCNGTIEA0ZMkRz587V4sWLNWjQIBekLP7uNM+SNGfOHFmtVnXo0KGo\n45UYeZlnoKSyWCzOO0xg3uXLlzVo0CCNGjUqx508EnNdUKxWq6Kjo3Xp0iW9/vrr+vXXX10dqdig\nXAK4Ky1YsCBPx4WGhuqVV17RoEGDVK1aNeetm5J09uxZVatWrZASlgx3mueoqCh98803WrBggfMP\nLH+c58TEROb5DvL63/N/Y54LFvNZtCpXrqxz586patWqOnfunCpVquTqSCVCZmamBg0apNDQULVp\n00YSc12YvL299eSTT+r777/XpUuXlJWVJXd3d/58cRvcFgug2Dl+/Ljz119//bXz82qBgYFavXq1\nDMPQ999/L5vN5rxVCPm3detWffrpp5ozZ47KlCnj3B4YGKi1a9cqIyNDCQkJOn78uBo0aODCpCUT\n81yw6tevr+PHjyshIUEZGRlau3atAgMDXR2rxLrx81iSVq9erVatWrk4UfFnGIZGjx6tWrVqqW/f\nvs7tzHXBSk5Odj4d/dq1a9q+fbtq166tJ598Uhs2bJAkrVq1ip8ft2AxDMNwdQgAyI+BAwfq2LFj\nslgseuCBB/Tee++pWrVqMgxDEyZM0LZt21SmTBlNnjxZ9evXd3XcYqt169bKyMhQhQoVJEmPP/64\nJkyYIOn6rbKRkZGyWq0aNWqUAgICXBm1WPvqq680ceJEJScny9vbW35+fvrss88kMc8FbcuWLZo8\nebIcDoe6dOmiAQMGuDpSiTB06FDt2rVLv//+uypXrqyBAwcqKChIgwcP1pkzZ3T//ffrH//4h/Nn\nCf6cPXv26MUXX1TdunXl5nZ9fWjo0KFq0KABc12ADh06pBEjRsjhcMgwDD333HN64403lJCQoCFD\nhujixYvy8/PT9OnT5eHh4eq4dx3KJQAAAADANG6LBQAAAACYRrkEAAAAAJhGuQQAAAAAmEa5BAAA\nAACYRrkEAAAAAJhGuQQAAAAAmEa5BAAAeXbgwAG99dZbRXa++Ph4de7cuVDGDgsL07Vr1/L1nhvf\n4DZixIgcr/Ni2bJlWrBgQb7OdzOJiYkKDw9Xdna26bFup0ePHkpISCjUcwAoWfieSwAAcNeKj4/X\n1KlTFRUV5eookqTJkyfrscce09atW+Xv76/Lly/r1VdfLdIM48ePV+PGjdW+ffsCGS8rK0vu7u7O\n19nZ2bJYLPr666/11VdfaerUqQVyHgAlH+USAADkcvXqVQ0fPlxHjhyRu7u7atasqZkzZ+Yqe4sX\nL9bnn38um82mgIAALVmyRPHx8Tp16pS6dOmi8PBwbdmyRVevXtX777+vRo0aSZK2bNmiOXPmKCMj\nQ6VKldLIkSPl7+8vSZoxY4bWrVsnb29vNWnSRPHx8bctl0eOHNHIkSN19epV+fr66uTJkxowYICe\nffZZ/e///q/Wrl0rh8Oh0qVL691335Wfn58kqV69etq7d6/KlSunwMBAhYWFafv27UpKSlK/fv3U\no0ePm57v448/1ty5czVhwgS98MILufb/+uuvzjzZ2dnq1KmT+vfvr4iICF25ckXDhw9XRkaGJk6c\nqF27dqlSpUry8/PT+fPnNWvWLEVFRSk2Nlbe3t46fPiwbDabIiIiZLfblZ6erpYtW2rr1q0qXbq0\nJGnfvn2aNm2aLl++LEl655131Lx5c+3fv1/vv/++rly5orJly2r06NFq0KCB899N586dtXPnTj3/\n/PM6f/68Dh8+rLS0NP32229asWKFypYtq5YtW+qrr76Sl5fXn/wvCcC9xP3OhwAAgHvNf/7zH12+\nfFnr1q2TJF28eDHXMYcOHdLcuXMVHR2tSpUqadKkSTn2p6SkyN/fX0OGDNGaNWs0ffp0LV++XCdP\nntTs2bP12WefycvLS4cPH9bLL7+sb775Rps2bdKmTZu0evVqeXp66vXXX79j1nfeeUe9e/dWWFiY\nDhw4oOeff965r2PHjurXr58kafv27Ro/fry++OKLm45z7do1rVixQqdOnVJoaKg6deqkcuXK5Thm\n6tSp8vPzU2hoqDIyMjRv3jy98sorOY5ZunSpAgMDnSuaN5u7FStW6LfffnMW3549e6p69erO/QcO\nHNCaNWt03333acyYMVq8eLGGDBmiAwcO6KGHHnIWy5SUFL3xxhuKiIhQw4YN5XA4lJaWpoyMDA0a\nNEhTpkxRs2bNtH37dg0aNEhffvml833169fX8OHDJUkRERHav3+/oqKiVKlSJWeOOnXqaO/evWrZ\nsuUd/z0AAOUSAADk4uvrq6NHj+q9995TkyZN9Mwzz+Q6ZteuXQoICHCWka5duyomJsa5v2zZsnr2\n2WclSf7+/s7bK7dt26aTJ0/qxRdfdB6blZWl8+fPKz4+XsHBwc5S17VrV82ePfuWOdPS0vTLL78o\nNDRUklS/fn3Vq1fPuf/gwYOaO3euLl68KIvFouPHj99yrODgYElSjRo15O3trbNnz6p27do5jnnn\nnXdksVi0fft29ezZ86afuWzcuLE+/PBDXb16VU8++aSaNm2a65j4+HiFhYXJ3d1d7u7uCgkJ0Xff\nfefc37BhQ913332SpMcff1zbt2+XJJ09e1aVK1d2Hvf999+rdu3aatiwoSTJarWqfPny+vnnn1Wq\nVCk1a9ZMkvTUU0+pVKlSOnbsmMqVK6fSpUurXbt2OTK1bNkyR7GUJLvdrsTExFvOGQD8N8olAADI\nxcfHR7Gxsdq5c6e2bt2qGTNm5CiOeeHh4eH8tZubm7KyspyvW7RooWnTphVYXovFkmtbRkaG3nzz\nTS1evFiPPvqoEhMTb7sCd2M1ULpe0hwOxy3P88EHH9zyvG3btpW/v7++/fZb/c///I8iIyM1ffr0\nfF3PrbJ4enoqIyMjX2PdTJkyZXJl/+MqrSSlp6fnyAIAt8PTYgEAQC5nz56V1WpVUFCQRo4cqeTk\nZKWkpOQ4pkmTJtq6dauSk5MlSatWrcrT2E8//bS2bdumw4cPO7ft379fktS0aVPFxcXpypUrcjgc\nioyMvO1YXl5eqlOnjmJjYyVJP/zwg3755RdJ18tlVlaWcwVw6dKlecpn1okTJ2S329W5c2e9/vrr\nOnDgQK5jmjRpopiYGGVlZSk9PV1xcXF5Grtu3bo6duyY87W/v7+OHj2qffv2SZIcDocuXryomjVr\nKjMzUzt37pQk7dixQ1lZWapZs2a+ruXo0aPy9fXN13sA3LtYuQQAALn8/PPP+uijjyRdf3roK6+8\nomrVquW4rdTX11cvvfSSwsPD5eXlpaZNm8pms91x7L/85S/68MMPNXr0aF27dk2ZmZlq2LChGjRo\noGeffVbff/+9wsLCnA/0udNtmVOnTtWoUaM0b9481a1bV3Xr1pXNZpOXl5cGDRqkrl27qkKFCmrb\ntq2pOcmruLg4xcTEqFSpUrJYLBo1alSuY8LDw3Xo0CGFhISoYsWKqlWrVp7GfvDBB2Wz2fTrr7+q\nVq1aqlChgiIiIvTBBx/oypUrcnNz0/Dhw/XUU09p1qxZOR7oM3PmzByryXdy+vRpSdcLLQDkBU+L\nBQAAf1paWprzSaIRERE6ceJEvm8BNevy5csqW7asLBaLjhw5op49e2r9+vUqX758kebIrxtzl5GR\noQEDBui5555Tt27d7vi+2NhYff/99xozZkyh5vvoo4/04IMP5ikTAEisXAIAABM++ugj7d27V5mZ\nmfLx8dGECROKPMONr+K48fflEydOvOuLpST17dtXGRkZSk9P11NPPaVOnTrl6X3t27dXSkqKsrOz\n5eZWeJ9wqlatmrp06VJo4wMoeVi5BAAAd70tW7bo448/zrV96NChCggIcEEiAMAfUS4BAAAAAKbx\ntFgAAAAAgGmUSwAAAACAaZRLAAAAAIBplEsAAPD/269jAQAAAIBB/taD2FsWAcAmlwAAAGwByRod\nZjb0JfAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 842.4x739.44 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=a4_dims)\n",
    "gr_df = imp_df[imp_df['feature_group'] == 'DatabaseWorkedWith ']\n",
    "sns.set(font_scale=1.5)\n",
    "f_names=list(gr_df['feature'])\n",
    "gr_df['gain_log'] = np.log1p(gr_df['gain'])\n",
    "gr_df['feature'] = gr_df['feature'].apply(lambda x: x.split(':')[1].replace('_', ''))\n",
    "\n",
    "gr_df = gr_df[np.abs(gr_df['signed_gain * sign(corr)']) > 1]      \n",
    "sns.barplot(x='signed_gain * sign(corr)', y='feature', \n",
    "                data=gr_df.sort_values('gain', ascending=False).iloc[:30])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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