notebook/Inspect Predictions - MLM.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [],
   "source": [
    "path = \"../large-corpus/\"\n",
    "prefix = \"sparse_tmp\"\n",
    "\n",
    "#path = \"../../bert-cmp/bert/\"\n",
    "#prefix=\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams.update({'font.size': 22})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
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       "<p>10 rows × 67 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   masked_lm_predictions  label_ids  masked_lm_positions  0    1   2     3  \\\n",
       "0                    414        377                   14  2   11   8  3130   \n",
       "1                    102       1814                   16  2   11  22  3597   \n",
       "2                      8          8                    7  2   25  20    22   \n",
       "3                      8          8                    2  2   11   4  3618   \n",
       "4                     22         22                    6  2  399  24    24   \n",
       "5                     60         60                    6  2   20  22    43   \n",
       "6                      8          8                   21  2   31  32    33   \n",
       "7                     24         24                   38  2    6  15    17   \n",
       "8                     65         65                    4  2    6   7     8   \n",
       "9                      7          7                   13  2   15  17    20   \n",
       "\n",
       "      4    5    6  ...  54  55  56  57  58  59  60  61  62  63  \n",
       "0   156  654  262  ...   0   0   0   0   0   0   0   0   0   0  \n",
       "1   102  212    8  ...   0   0   0   0   0   0   0   0   0   0  \n",
       "2    26    8   20  ...   0   0   0   0   0   0   0   0   0   0  \n",
       "3  2928  415    8  ...   0   0   0   0   0   0   0   0   0   0  \n",
       "4    24   24   22  ...   0   0   0   0   0   0   0   0   0   0  \n",
       "5     8   27    4  ...   0   0   0   0   0   0   0   0   0   0  \n",
       "6   414   37   24  ...   0   0   0   0   0   0   0   0   0   0  \n",
       "7     7   24   74  ...   0   0   0   0   0   0   0   0   0   0  \n",
       "8     4   24   11  ...   0   0   0   0   0   0   0   0   0   0  \n",
       "9     8    8   24  ...   0   0   0   0   0   0   0   0   0   0  \n",
       "\n",
       "[10 rows x 67 columns]"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results_df = pd.read_csv(path+'pretraining_output-100k/eval_results_masked_lm.txt')\n",
    "results_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(34985, 67)"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(9769, 1)"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vocab_file = \"global_vocab.csv\"\n",
    "#vocab_file = \"sparse_tmp_vocab-code.txt\"\n",
    "#vocab_file = \"vocab-code.txt\"\n",
    "\n",
    "vocab_df = pd.read_csv(path+vocab_file, header=None)\n",
    "vocab_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1851, 1)"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vocab_df2 = pd.read_csv('../../bert-cmp/bert/vocab-code.txt', header=None)\n",
    "vocab_df2.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       " 'obj1',\n",
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       " 'cv',\n",
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       " 'healthy',\n",
       " 'googleapi',\n",
       " 'fromfile',\n",
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       " 'ulonglong',\n",
       " 'cid',\n",
       " 'xsupi',\n",
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       " 'configlet',\n",
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       " 'clustering2',\n",
       " 'adminpassword',\n",
       " 'autodetector',\n",
       " 'wms',\n",
       " 'proj',\n",
       " 'clouds',\n",
       " 'dom',\n",
       " 'adminstatus',\n",
       " 'nocolor',\n",
       " 'lbs',\n",
       " 'highavailability',\n",
       " 'networking',\n",
       " 'inertia',\n",
       " 'ovf',\n",
       " 'linkspeed',\n",
       " 'saveme',\n",
       " 'ora',\n",
       " 'namespace',\n",
       " 'crt',\n",
       " 'notification',\n",
       " 'percentage',\n",
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       " 'tk',\n",
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       " 'db',\n",
       " '4xx',\n",
       " 'getheaders',\n",
       " 'configurepowerpolicy',\n",
       " 'configlets',\n",
       " 'suffixes',\n",
       " 'alarms',\n",
       " 'tagdict',\n",
       " 'dummy',\n",
       " 'ad',\n",
       " 'authorizaion',\n",
       " 'linuxconfiguration',\n",
       " 'saml',\n",
       " 'colaprocessor',\n",
       " 'exiting',\n",
       " 'cleanup',\n",
       " 'vap',\n",
       " 'associable',\n",
       " 'jw',\n",
       " 'treeclassifier',\n",
       " 'join1infos',\n",
       " 'records',\n",
       " 'klass',\n",
       " 'tenants',\n",
       " 'frac',\n",
       " 'testsrun',\n",
       " 'nics',\n",
       " 'lookupbyid',\n",
       " 'pcx',\n",
       " 'dm',\n",
       " 'endtime',\n",
       " 'protected',\n",
       " 'oca',\n",
       " 'openshift',\n",
       " 'publicdnsname',\n",
       " 'opath',\n",
       " 'serviceobject',\n",
       " 'fkey',\n",
       " 'req',\n",
       " 'dirn',\n",
       " 'accounting',\n",
       " 'maxmksconnections',\n",
       " 'disassociated',\n",
       " 'newelbs',\n",
       " 'disks',\n",
       " 'sns',\n",
       " 'protected64',\n",
       " 'bom',\n",
       " 'computed',\n",
       " 'svcs',\n",
       " 'adjusted',\n",
       " 'ipaddresses',\n",
       " 'loginautherror',\n",
       " 'removelicense',\n",
       " 'updatehostimageacceptancelevel',\n",
       " 'distinct',\n",
       " 'estimator7',\n",
       " 'caller',\n",
       " 'datastorefolder',\n",
       " 'deleteprotection',\n",
       " 'typographic',\n",
       " 'hostimageconfiggetacceptance',\n",
       " 'lsaostartinterval',\n",
       " 'reservation',\n",
       " 'tier',\n",
       " 'dstr',\n",
       " 'statistics',\n",
       " 'orgname',\n",
       " 'parsedate',\n",
       " 'cookiejar',\n",
       " 'ge',\n",
       " 'clean',\n",
       " 'networklabelnotunique',\n",
       " 'hexlify',\n",
       " 'stringified',\n",
       " 'salt',\n",
       " 'unbounded',\n",
       " 'configured',\n",
       " 'suspend',\n",
       " 'err1',\n",
       " 'evalue',\n",
       " 'dbsnapshot',\n",
       " 'computeresource',\n",
       " 'floatlist',\n",
       " 'xapi',\n",
       " 'll',\n",
       " 'vals2',\n",
       " 'numbertypes',\n",
       " 'calc',\n",
       " ...}"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "set(vocab_df[0]) - set(vocab_df2[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>[PAD]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>[UNK]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>[CLS]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>[SEP]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>[MASK]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>[cls]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>if</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>compare</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>name</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>is</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>nameconstant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>assign</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>slope</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>num</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>boolop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>or</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>and</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>unaryop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>not</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>call</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>raise</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>attribute</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>format</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>str</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>return</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>sqrt</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>binop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>div</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>add</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9739</th>\n",
       "      <td>tfrecordwriter</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9740</th>\n",
       "      <td>assertallclose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9741</th>\n",
       "      <td>pooled</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9742</th>\n",
       "      <td>assertallequal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9743</th>\n",
       "      <td>tester</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9744</th>\n",
       "      <td>bertmodeltester</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9745</th>\n",
       "      <td>bertconfig</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9746</th>\n",
       "      <td>unreachable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9747</th>\n",
       "      <td>bert</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9748</th>\n",
       "      <td>colaprocessor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9749</th>\n",
       "      <td>mnliprocessor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9750</th>\n",
       "      <td>mrpcprocessor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9751</th>\n",
       "      <td>polynomial</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9752</th>\n",
       "      <td>lm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9753</th>\n",
       "      <td>sentence</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9754</th>\n",
       "      <td>act</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9755</th>\n",
       "      <td>interleave</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9756</th>\n",
       "      <td>tfrecorddataset</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9757</th>\n",
       "      <td>opposite</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9758</th>\n",
       "      <td>wordpiece</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9759</th>\n",
       "      <td>punc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9760</th>\n",
       "      <td>unk</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9761</th>\n",
       "      <td>basictokenizer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9762</th>\n",
       "      <td>floatlist</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9763</th>\n",
       "      <td>lms</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9764</th>\n",
       "      <td>dupe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9765</th>\n",
       "      <td>getwriter</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9766</th>\n",
       "      <td>attention</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9767</th>\n",
       "      <td>ndims</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9768</th>\n",
       "      <td>adder</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9769 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    0\n",
       "0               [PAD]\n",
       "1               [UNK]\n",
       "2               [CLS]\n",
       "3               [SEP]\n",
       "4              [MASK]\n",
       "5               [cls]\n",
       "6                  if\n",
       "7             compare\n",
       "8                name\n",
       "9                  is\n",
       "10       nameconstant\n",
       "11             assign\n",
       "12           negative\n",
       "13              slope\n",
       "14                num\n",
       "15             boolop\n",
       "16                 or\n",
       "17                and\n",
       "18            unaryop\n",
       "19                not\n",
       "20               call\n",
       "21              raise\n",
       "22          attribute\n",
       "23             format\n",
       "24                str\n",
       "25             return\n",
       "26               sqrt\n",
       "27              binop\n",
       "28                div\n",
       "29                add\n",
       "...               ...\n",
       "9739   tfrecordwriter\n",
       "9740   assertallclose\n",
       "9741           pooled\n",
       "9742   assertallequal\n",
       "9743           tester\n",
       "9744  bertmodeltester\n",
       "9745       bertconfig\n",
       "9746      unreachable\n",
       "9747             bert\n",
       "9748    colaprocessor\n",
       "9749    mnliprocessor\n",
       "9750    mrpcprocessor\n",
       "9751       polynomial\n",
       "9752               lm\n",
       "9753         sentence\n",
       "9754              act\n",
       "9755       interleave\n",
       "9756  tfrecorddataset\n",
       "9757         opposite\n",
       "9758        wordpiece\n",
       "9759             punc\n",
       "9760              unk\n",
       "9761   basictokenizer\n",
       "9762        floatlist\n",
       "9763              lms\n",
       "9764             dupe\n",
       "9765        getwriter\n",
       "9766        attention\n",
       "9767            ndims\n",
       "9768            adder\n",
       "\n",
       "[9769 rows x 1 columns]"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vocab_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9769"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(vocab_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [],
   "source": [
    "accuracy = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [],
   "source": [
    "per_token_acc = {}; per_token_count = {}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(len(results_df)):\n",
    "    snippet = [results_df[str(_)][i] for _ in range(64)]\n",
    "    msk_idx = results_df.iloc[i]['masked_lm_positions']\n",
    "    masked_tk = snippet[msk_idx]\n",
    "    prediction = vocab_df.loc[results_df.iloc[i]['masked_lm_predictions']][0]\n",
    "    label = vocab_df.loc[results_df.iloc[i]['label_ids']][0]\n",
    "    if per_token_acc.get(label, None) == None:\n",
    "        per_token_acc[label] = 0\n",
    "        per_token_count[label] = 0\n",
    "    per_token_acc[label] += int(prediction == label)\n",
    "    per_token_count[label] += 1\n",
    "    accuracy += int(prediction == label)\n",
    "    #print(\"Predicted --\", prediction)\n",
    "    #print(\"Label     --\", label)\n",
    "    #print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [],
   "source": [
    "total_per_token_accuracy = {}\n",
    "per_token_freq = {}\n",
    "for k,v in per_token_acc.items():\n",
    "    if per_token_count[k] > 0:\n",
    "        total_per_token_accuracy[k] = v / per_token_count[k]\n",
    "        per_token_freq[k] = per_token_count[k] / len(results_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [],
   "source": [
    "from collections import Counter\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
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      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = Counter(total_per_token_accuracy)\n",
    "c.most_common(1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "<Figure size 5760x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(80,15))\n",
    "labels, values = zip(*c.most_common(300))\n",
    "\n",
    "indexes = np.arange(len(labels))\n",
    "width = 1\n",
    "\n",
    "freqs = [per_token_freq[l] for l in labels]\n",
    "\n",
    "mean_freq = np.mean(list(per_token_freq.values()))\n",
    "mean_acc = (accuracy / len(results_df))\n",
    "\n",
    "plt.bar(indexes, values, width, label='Accuracy')\n",
    "plt.bar(indexes, freqs, width, label='Frequency')\n",
    "plt.xticks(indexes , labels, rotation=90)\n",
    "plt.title('MARGARET (300k epochs) - Corpus-Sm - mean_freq = {:.3f} / max_freq = {:.2f} / F1-Macro = {:.3f}'.format(mean_freq, np.max(freqs), mean_acc))\n",
    "plt.legend()\n",
    "plt.tight_layout()\n",
    "#plt.savefig('MARGARET-400k_epochs_top200.pdf')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[2,\n",
       " 31,\n",
       " 32,\n",
       " 33,\n",
       " 95,\n",
       " 33,\n",
       " 14,\n",
       " 510,\n",
       " 37,\n",
       " 24,\n",
       " 25,\n",
       " 20,\n",
       " 22,\n",
       " 1381,\n",
       " 4,\n",
       " 8,\n",
       " 8,\n",
       " 54,\n",
       " 8,\n",
       " 54,\n",
       " 18,\n",
       " 71,\n",
       " 14,\n",
       " 0,\n",
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       " 0,\n",
       " 0,\n",
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       " 0,\n",
       " 0,\n",
       " 0,\n",
       " 0,\n",
       " 0,\n",
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       " 0,\n",
       " 0,\n",
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       " 0,\n",
       " 0,\n",
       " 0,\n",
       " 0,\n",
       " 0,\n",
       " 0,\n",
       " 0,\n",
       " 0,\n",
       " 0,\n",
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       " 0,\n",
       " 0,\n",
       " 0,\n",
       " 0,\n",
       " 0,\n",
       " 0,\n",
       " 0,\n",
       " 0,\n",
       " 0,\n",
       " 0,\n",
       " 0,\n",
       " 0,\n",
       " 0,\n",
       " 0,\n",
       " 0]"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pred = list(results_df.loc[10][3:])\n",
    "pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [],
   "source": [
    "pred_str = [vocab_df.loc[i][0] for i in pred]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['[CLS]',\n",
       " 'functiondef',\n",
       " 'arguments',\n",
       " 'arg',\n",
       " 'indices',\n",
       " 'arg',\n",
       " 'num',\n",
       " 'classes',\n",
       " 'expr',\n",
       " 'str',\n",
       " 'return',\n",
       " 'call',\n",
       " 'attribute',\n",
       " 'one',\n",
       " '[MASK]',\n",
       " 'name',\n",
       " 'name',\n",
       " 'keyword',\n",
       " 'name',\n",
       " 'keyword',\n",
       " 'unaryop',\n",
       " 'usub',\n",
       " 'num',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]',\n",
       " '[PAD]']"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pred_str"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('name', 0.2768900957553237),\n",
       " ('attribute', 0.08194940688866657),\n",
       " ('call', 0.08043447191653566),\n",
       " ('num', 0.040588823781620695),\n",
       " ('str', 0.03930255823924539),\n",
       " ('binop', 0.03870230098613692),\n",
       " ('keyword', 0.02895526654280406),\n",
       " ('subscript', 0.02443904530513077),\n",
       " ('assign', 0.022381020437330285),\n",
       " ('index', 0.01940831785050736),\n",
       " ('compare', 0.01583535801057596),\n",
       " ('if', 0.014434757753322853),\n",
       " ('add', 0.014320423038445048),\n",
       " ('arg', 0.012119479777047306),\n",
       " ('nameconstant', 0.011833642989852794),\n",
       " ('tuple', 0.011690724596255538),\n",
       " ('return', 0.00980420180077176),\n",
       " ('unaryop', 0.007231670716021152),\n",
       " ('shape', 0.006917250250107189),\n",
       " ('slice', 0.006888666571387737),\n",
       " ('expr', 0.006774331856509933),\n",
       " ('arguments', 0.006145490924682006),\n",
       " ('list', 0.0054880663141346295),\n",
       " ('functiondef', 0.005287980563098471),\n",
       " ('comprehension', 0.005173645848220666),\n",
       " ('boolop', 0.004973560097184508),\n",
       " ('eq', 0.004659139631270544),\n",
       " ('mult', 0.004487637558953837),\n",
       " ('raise', 0.00431613548663713),\n",
       " ('kernel', 0.003858796627125911),\n",
       " ('listcomp', 0.00383021294840646),\n",
       " ('x', 0.00334429041017579),\n",
       " ('sub', 0.003287123052736887),\n",
       " ('output', 0.003144204659139631),\n",
       " ('usub', 0.003087037301700729),\n",
       " ('and', 0.003001286265542375),\n",
       " ('append', 0.0024581963698728027),\n",
       " ('is', 0.002343861654994998),\n",
       " ('mod', 0.0023152779762755466),\n",
       " ('not', 0.002258110618836644),\n",
       " ('input', 0.002258110618836644),\n",
       " ('items', 0.002229526940117193),\n",
       " ('size', 0.0021723595826782906),\n",
       " ('format', 0.0021437759039588393),\n",
       " ('data', 0.002086608546519937),\n",
       " ('for', 0.0020294411890810346),\n",
       " ('self', 0.0020008575103615837),\n",
       " ('bias', 0.0019722738316421324),\n",
       " ('noteq', 0.0018293554380448764),\n",
       " ('dtype', 0.0017436044018865227),\n",
       " ('ifexp', 0.0016864370444476203),\n",
       " ('padding', 0.0016578533657281693),\n",
       " ('layer', 0.001629269687008718),\n",
       " ('extslice', 0.001629269687008718),\n",
       " ('state', 0.0016006860082892669),\n",
       " ('kwargs', 0.0016006860082892669),\n",
       " ('augassign', 0.0015721023295698156),\n",
       " ('get', 0.0015721023295698156),\n",
       " ('batch', 0.0015435186508503645),\n",
       " ('isnot', 0.0015149349721309132),\n",
       " ('gt', 0.0014577676146920108),\n",
       " ('i', 0.0014291839359725598),\n",
       " ('units', 0.0014006002572531085),\n",
       " ('dict', 0.0013720165785336574),\n",
       " ('inputs', 0.001343432899814206),\n",
       " ('reshape', 0.001343432899814206),\n",
       " ('axis', 0.0012576818636558524),\n",
       " ('strides', 0.001171930827497499),\n",
       " ('in', 0.001171930827497499),\n",
       " ('or', 0.0011433471487780477),\n",
       " ('mean', 0.0011147634700585966),\n",
       " ('value', 0.0010861797913391453),\n",
       " ('notin', 0.0010861797913391453),\n",
       " ('stateful', 0.001029012433900243),\n",
       " ('states', 0.001029012433900243),\n",
       " ('warn', 0.0009718450764613406),\n",
       " ('mask', 0.0009432613977418894),\n",
       " ('constraint', 0.0009432613977418894),\n",
       " ('outputs', 0.0009146777190224382),\n",
       " ('new', 0.0009146777190224382),\n",
       " ('pool', 0.0009146777190224382),\n",
       " ('regularizer', 0.000886094040302987),\n",
       " ('y', 0.000886094040302987),\n",
       " ('recurrent', 0.000886094040302987),\n",
       " ('lt', 0.000886094040302987),\n",
       " ('config', 0.0008575103615835358),\n",
       " ('values', 0.0008575103615835358),\n",
       " ('init', 0.0008289266828640846),\n",
       " ('cast', 0.0008289266828640846),\n",
       " ('initializer', 0.0008003430041446334),\n",
       " ('weight', 0.0007717593254251823),\n",
       " ('w', 0.0007717593254251823),\n",
       " ('weights', 0.0007717593254251823),\n",
       " ('concatenate', 0.0007717593254251823),\n",
       " ('starred', 0.0007717593254251823),\n",
       " ('args', 0.0007431756467057311),\n",
       " ('cell', 0.0007145919679862799),\n",
       " ('sum', 0.0006860082892668287),\n",
       " ('axes', 0.0006860082892668287),\n",
       " ('div', 0.0006860082892668287)]"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d = Counter(per_token_freq)\n",
    "d.most_common(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "labels, values = zip(*d.most_common(200))\n",
    "\n",
    "indexes = np.arange(len(labels))\n",
    "width = 1\n",
    "\n",
    "accuracies = [c[tok] for tok in labels]\n",
    "\n",
    "plt.bar(indexes, accuracies, width, label='Accuracy')\n",
    "plt.bar(indexes, values, width, label='Frequency')\n",
    "plt.xticks(indexes , labels, rotation=90)\n",
    "plt.title('MARGARET (400k epochs) - Corpus-Lg - mean_freq = {:.3f} / max_freq = {:.2f} / F1-Macro = {:.3f}'.format(mean_freq, np.max(freqs), mean_acc))\n",
    "plt.legend()\n",
    "plt.tight_layout()\n",
    "plt.savefig('MARGARET-freq-400k_epochs_top200.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels, values = zip(*d.most_common())\n",
    "\n",
    "plt.figure(figsize=(20,6))\n",
    "plt.title(\"MLM test token frequency distribution\")\n",
    "plt.hist(values,bins=50);\n",
    "width = 1\n",
    "plt.tight_layout()\n",
    "#plt.xticks([i + width * 0.5 for i in range(16)], [str(i) for i in range(16)]);\n",
    "plt.savefig(\"mlm-test-lg-freq.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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NYOhbxdCJMiYD80xNqIBXy5Cyjg/4gEa/mCsioeZFJdqQoNP7k3baMJJqtCxtMTuY4tNNU9c0OhgQO4XZqVnyJieI1kHrQ3ocTkQni0DzMeFXjyJ+6jBB0v5/uvurOWkWArL7600RP/4HAHf/d1jPYsG6qtKCqrRsFlL+dk2xBdYAxoS1KMEr5I+TH6I+3bXFsQid2V9U4c9nptyp5IVJjbUO1t8JVB0DXaTQFeDOGKgq/OkEYaiK59GGrR1MpP2jLQleRBuJZhiENM1ZfIFaoKUiPAt8Pc3UB8fwd1Vk9Mej71gZ7n6eKcrlHcj3KYix2SXDbKTxMrBSieJXQcxzUlenNjxbICVGHgOZbNhuR5vQLL4M/KuoAnf3sFndMvyeYmZ3o6M9WyHrwH8gS90YPkFC4ljwqeeA1c1sJnePzuVwLPsLFAtYJyHhS7t4GG0MmmFpGgOpTaYgMEUKSxKnNx8ia+9mGILeM4uE4a2CFxBTmGAL5KPzjky6eZE/twSVNwvuvknbra6h6veHarSw3XmYvLtRbR6Bvsvncp6lsSyyIs6FKSjfLsgidiGkZDwpPFsBjcXbInRxCeAfMeFtAnd/PQgwp7ohMbMbEH15Hxju7heHRzea2erI6mMYcnPzfXe/PFL025Q7lvduSIu7D0u1oRf5sKsiPGu5DRlUpecrUu7438toAxFDL7I0B6aOhZWQ1U4abxOnWy3xBKC1N1XfMbTOF5xPjQ7tjjZCWdqVIKFDV7t7LFhJ1c1WlXm4dKTuVjEP9RHlExcecyTKqSDAvIMa/SHcH1axbkKZrzRNVYz/IeU5MDUIzDw0ftOZiPPmGwI3FilFA19zD+JhsmiLr8ugqjJnXRoVqDE8ioTxCR4j0BFqgpWtCPxbXlOo3xe/iwSwzbAM+et9J8r4L1LczeruHyHlsNOoYFmMxvX/fcSflEYf7E9abgMVaZm7D0kehjVtVMU1rQpeo96twPpIqJt9n1kIigV3Pya5GVwnPOgRV0EtoB0hchpVaUFVWvYy9a4BNkL9lc0/J/m8RzuKhASd2F9U4c+fp4krmOCuZlU0VzpdfydQdQx0kUJXgDtjoKrwpyXCYOWjwsbg7r5Z5P4lwAFmNqe7t8S4pxfqChgF7G9mi3otem0dzGxRxGCeFWsG5Ra3hijFHWr/BcBhZraARyLQtgIzmw8JT+ahxvhujDbKeRZXtyLr3S3d/caccr+DiPfvcsqosuGZl3zrhTTmJGXJkLkfs07PYiFSm3o091Z199HBInG0u4+JZy3ENcgH7MHkRw89DFmeFgkmbiHfj1oZnAqMMrMdcoRDSTTY9YHvZB49CaxpZrPkWeGGsbU68tWcxSPA2mY2T0ZAkM6/RMjf0MdphrcC/gnsZ2ZnhP9PRHPg2ky6NUhtSDq5WQiM9dbUhIZ3u/uI8GwhNAae8Xj096rfH6rRwrbmYXrOVJxHoONXW5nZ8u7+VCyBma2L1sOLY89Dmq8gC+l5qVlVpE+prIhcy3wXuDST/Q3KRSyeQv2mfSvkdmHHbNtd/qM3Q9aCR4Q6YzzcTcDGZjYoTwAarFeGovGSRScET1XbUJWef0yxr/AEa5KvOH4OWC/FV30djYOs0GQh4oKXtnkCaI8v6LAVa9XNVtvzsMC6vBW8Qb2fw7fC3yHU+xOdlfiJjkqoQL/S+DewpZmt54q8/hM0rrJzZnlqfmXTmAMZXjTDwkjAk0Un+LqqypyZkVK0GQZTb8TwIZrbd9G+4OUBYAMzW8zdY/2Lma2I+IE83rgTZYxCcS7GBqXV3khoeVWqjAHID+19mbzjaN8HcKf2Jy23ocO0bA9qcTb6A3cC3zSzHZFy+nA0JrNGIysTMRDyzvjob1mInEFVWlCVlo0BdjGzw1AfHh/yZ+PerIYMMWJoR5EAdGx/UYU//ydwoJnt4u5Zy/sEP0BKnBGdrt/y/S/H4O4es0CuOga6SMOnAz8O3avahY4b9hD82IR7db5R0KavBzlMz+b/XXi2S0H+/cO9xLdfu1dedMJEkzaGEPVzGvfh7GiRfRwFass+/wpi+u8kEjkcLcQ95PjTC2n2Dn1wY5O2LIaI7LqkojU2yTMwtOFuYJUK/TAULXC96MjOyuiI6pTwfv9H3EfsSsi6+23kwmKBZAyFvt0Naf/eA5YOeQaHa0Dmd6krU/+jaHFeuuDdkiBRMZ+LDyBmv8in3uqIab4/dW8sOf6WWuz3+ZFwqAdZ2X0z9N81SJg3gpo/zFw/x8jaZRI5PphKtGMwEuJORgKibZCLlc8jK6tLwrNTIt/kV6HNp6XKy9KRP4b32C9S977U/NYNyuZHgoIksv33qvZ5wdx7mXr/Y3/NpFkz3D81p4zdgaFt1r8WsrZJ+21L99/O4d43+uL7hzLapoVV52GHvuFW1PzPrhgZR8sgS/MecnyBoU3AB2G+nw58OzKWZ0ZCh4si+f+IjhsWzdW5Q5o/ZfLNUuIdNyHiRzo8G4KEV5cCC0aezx/m2OvAkD76BpXaUHUcIev2HsSvWOS5IYuaXuQKIlZ+Qs+uRkcvX0K0b6lMOa8CYyP5O8YThLSLIYupdYDFSqRfCligwje8LrzveuH3eeF9vppJdz/wWCR/5XkY0s2B1t4vI6urhisn3x0oIGXy+zuh/uNT9xZGPMvjHRjzLfEv2SunzC2prQNvhv+fIvBMIc2C4TvF6ND9iIatXdDutUOaBt/3tMHXRcq4AFn1NfjgTaUZFNLE3mEc4j+3KMi/eeijO1L37iT4E63wTXcK73tLMpcyY3hutGfpAb7Wh2XMgoKKJvuoycABmTRbh2dHRb7vx+T4WW6xP+YJfb0zwQ94yXyV2kBFWtbfFzq58DH1vnaz/sE/R4bH6HAbRoW6dwxjLvERPiyT7lEUaCqbvxItoDotWyHUne7DGyNpeoEzc/rgGhQIrRP92dJ6HPK0zZ+H8TEJ0epfob1CL9ovrozcbHyEeKqF+6D+9J6oQa6T+S55cp5KgmXahgAAIABJREFUY6B7ZfqzvxvQvTrwESsKf1olDMgas+2r4D3mQD56JiNt6WjiQWxuzuQbAexZop+Gk7M4hnJvzxCX+8L1Zoo43R5rD9pcJELOm5Hfr03CtQeySOoJ75a34dgXWTFmHes/Cezf5N1uAW4L7Z+Cjg6W6r9UGb8IY6AXBQlJB6PaAm1Ue5BlTWyB3imMk55UX3ySeo+PkWVZkj5p6wqp32UCDdQFDgl5Dwn5nydEd009G4iOQY8no+hIpdkn5H8z9MMQdHR+JsQ8/hwJJHqAfUKe2RCzckWH5vHnw3eL9UMvOpa0WpMydkNC9h60gTkKjfvdYlckf5mgD3nPpiDmL5knSfCSW5CfyVvCsweJB1QZSG0MP4MCE/aG8XYimgdJeQ1CmUh5LStCQr5Fkd+9P4R+sszzXZGAqC0hbUG9S1Fjav6eGtNpoeHsyDrinL74/h2ghU9RYR52sC9/l2r/Q+Hv80jBldC4kwvyXxTybJOhV9mAEWOJCxAXQGvYGCIKNbSujg791dbGlBDci3gQjZGhve+iwDanhOvycK8npGlg5GlD8NQHbahKz1dDAuAepBA5Dq3DeyAf5sk6OzUoZaSMeRA9S29Ufp1J8+Vw/1eR/JV5glDO94nzBU8QCSjawTlUebNFhXmIrMUSIXJpXiCV/7jwPBmjc1KjX5eGsZiMoV/nlLEK4oWeRGv9e+H/s9DJm3TaVviXUu8Qyh2O+IL3EI1dKfP8J6HufSJ59wrP/ofWtGUQXzMAKUCOQJbJPeQE+aJFvi6SfwjVlDk7hHf4KHyLYaHtQ9Ce4iy0JvYAO6Tm7kfAhR2YB5eH+t9Ge6pe5J7hUmrzoiGYZh+UYYimfAtYJvJ8E+BHZHhzpOT4NbVxv1vow41iV07d86B9VloImeZL9kYKrvVTdWavSm2o+A3LzsOPkPXmVcB2HW7DFmj+PhL6cpHM84PRPN05kvfA0L6vF5T/9ZAmL7BoZSEy1WnBcNqkZeH5aqHvrkU8RtaAYD9kjPPVnPyVlRnkr8dP0mQ9pvr+bBNq9Dq2L5tEsYyl7fqREWDsOhbxceNDG/4CHN1XY6B7pfqqvxvQvTr0ISsKf6oShg60f8FAeJP6iq6eTN7cBSeT7uxs3kwZ7V49oYwkcE3eN3iXiOUgYqYvT6WbgqwRJob/k/KuJLV5qtD+oj54G9gp5/ki1KwA/lcwDi8N4yWp731kxbR2Ju14pFRYOvO71JUpayASeiV9NRmN+QnUNoC9aOHP68M/Z77dZOo3j73A2an0q6DAQlun7g0I4+AvyG/bLTlXnhB9VsSEXIMYvceBG9GiNkeJMd5L/RwqZFgj+Vv6BpFrCWQxk25Huv/uBZYoaP9caDOXN3avoMCqMZTRtiKkQ7RsAcQsL5i5vwSyRno4jNU1c8bf/ql7DbQNHQltsJDoxPfvBC2kxXlIXPhX9sq1JAjj4KVIG18HftjkG75E4+Ym9i0uBt6K5B+B6HVCz+9HNP5yJAhPNj9XhrTpKyqcb2HOx36XXgvKjJvUNaWP2tAJer4x2oznrccvAps06dvZkAD5ECL8Dwr69H/AF3Lyt8UTpPKPTKXtocYXpO+dm5N3o1aunDKGU3GzRRvzEAkSXgvpXkAuPXqRVe2rqXe/nUxk9FQZKyOe78upe9sifiTdjvuIrK1I+JkIK2Lj9iNSQk8qrp2tzPnIGJ2H/HlwZmb8xfiaPzapozRfF8l7FOWVOVH6DvySGs2MzaMe4IhUncsj6/svRdozCCl35y/ZvwNRwNrsuOlFwqBTiZxK63QZFcZHmhaXoueZ/HOgvVkvmofXklkLkdK7B/hNps68b9VSG1L1lFaoRPqg1SuXtk7rCyn7XqbAcAEZm7yCApnlpWlbiNwJWlDiPQtpWQf6cSMqKBKosB5H5mLTuZBTxqLIoOWhMP4/RErq3wGfa/L+lesvKHvW0D8vkGMBPD2MgRnpstBhXcwAMLNZkWXH1tQ07ROBG4A/e0FU8ZB/UcSQx/L/1t3z/Mp0ou1/QRYqyWL8NAVBLLzeZ2IvMNKb+EcKQbK+5+4Nwb7MbOP2Wl7fHjNbDGmjN6IWwONFZIl1jrs3+DcKUYBPDumORNYsScCNmZGPxeORAOhQd89G6W25/R7xz2ZmDwDfdvdcX1FmlkREPSLWj5l0C6Ax9IbH/XV2FKHOA1Gk9qUzj59DFp2ne46f6FDGdui47JfQsTWQhvnOkPeKgrzzIWHrWqSipebA3X1AkzQtI4zx0kTd3fdonqqtdnwFBRTJ0pGrvMSiY2YrE6FD7v5AQZ4BwGVIqJJEJE78KC2GGFxHwvFvxcakmY1AvtZGNGnfcMTgNdAcMzsZ0dE13f2hcG8WZDE3mNrYeBsJfiaGNBOA99x91VRZDbTNzC4BNnP3Bp/Nnfj+VWkhskotPQ/DOzrN50waSfrCeRT8Ca9B/Ti6x+ujFsfyfYyO1u+Uuhf7Fpcja4/ZMvnbeacELdEGMzu6jTrSldUFRjGz8cTH0ExoHiV+dyeE/Et3ug2hHZ2g57Mii7WNaVyP/+b5QTk7hnZ4gpBvZ+SD+TVk6TLSg2/xQE+Go8jYCyO+5pJM/mQMloG7e8sxMUJshUGIbuWu8a3OQzP7A3Lbdby7H21m5yKLoAHh+RbI3cjzwFbuXjrgSfCj/nVk+fkEcE227Wa2HjXfkKOQsOPZ8HsZxKt+G/Xvhi5/ftMtzOwbaB5tQI2v+RgpW3/v7mUC/rXF17VAC9NpGui7ma2F6MFGiBcGKQbGAme4+7+btGM34CA0DmcCzktouZltj77n4e7+XE7++ZChS3oM3+TupYMCdaKMVmFmo2mNJ6gL6Bdo+9FI+byvu3+QsxY+DHzo7l9stc5mbQjl7wWcgVwXxcbSJ8itxDmxMs3sJKRMOhOdsJmAeMQhaI+1P1L4nIa+0W+Rf/Ndvb2gV+m6d0PuPMY1Sbc+OpF4fub+C8jNyxZN8v8LuasZXKW9ZdAfe7yqyNCiZuOzbk2suh6HdCNL1JtuQEf3Z31df+C3ngP+7u77tNa6LlpFV4DbxXQBM0v8Tq7iOQGMCvKWFeDei45olQlWNc1gZo+gDeoXPCdSr5ktiyz3nksLeDrcjtzgU5G0G7n72NTvU4FJ7n5cX7StVYRN2tTNcqvKhyAMXDD8fLOZwCfkORMxiBPR8fsnKAjeEROid9E+OqQIKUtLzkZuWxoEbWZ2HzC3uy+furc7cC6yfvgV8i38Q6QY+1lI8xGKovydVL7YRulSYFt3n7V5r/QvyszDvhD+VYWZvYI2XBum7sW+xYPAvJ4J9BK+d9vwahG/+wxmNhD5Nv09UnRUes8W6q1Ez0vWkWx6X3T3ntTvUnD3toKjFLTnFiRwW8vdH8tJswqyjrvD3TfNPBtNviB+KWDJ8PtOYHJMaNJfMLOnkGB4aXfvzQpwQ5plkYuL4939/3W4/lHIFdnO7n5ZTppvIyuuv7n7jp2sv6+Q4WumlWL9GKoJ8yrT9yC42BUJbt5D7jSm0vIwjx5BMULygsj2G4IAsAw+Qe4qHvCKwYxTdT+CgkoumxJY5Skz13f3JeIlVWpDJYWKme2BLHc3cve7Cuq4DcVnOCcIU8chAfuWFdtfia8MCuVR7r5Lk/wXIjciDbxhVSHy9AIzWw4F60qC/F7t7oeFZ+shf+mXufukSN7RtKnMqLoef1ZgZsnpws8VpKkSqLmLgJY17l3MeDCzjYBX3P2/TdItj5x1j815vjg6orYCcpIe05K6u+8VuT8XsrArJbwNlnJpbBi5l2AgOk63FvKp1nGY2f3As+7+rTayLwvckie8BXD3Z8zsVhT5vU9QVngb0mbHwEHIsnG6gLu/SH3E+EJkBdBh4Xi1xWq3QceP1nP3qlHc24KZbYM24zf0R/39jD3RcaJh2bkULLTOM0Vwfhgdj20Q4LaAmZHCKYYlkJ/fNL6GGMfvBwufW8zs6ygg2M9CmneRm5JmWIZ41PvpCmY2D6K7CwET8oRufSGALWjTnMCKwMQmVk/3AFuZ2fLu/lROWesCX0BuFOowvQpgqyIosq4LVrr3mdk97n7GNKi3JXreJsYTlMjoSOJ4WrBgpfP89BrA6LzNIoC7Pxb4gi9Gng0rKtzMVkNKpY8QHeoogsCgBwkePilItwGwXEZg8DkUoCahsYm1/syBlic80RjkpqJBgGvVTlNsCNybJ7wN9Y8ys4ORX9I+RaA136I5b71ZUTlt8jVJGwYhH5JpK/L7mvGN3pno7W0jKNN2Q2vy3tRctU1FmEcTkVChowLcIPj5h7uf1CTdIeg0R4zHH0lrQnA3s2uBgzyc8KmAZdCx/Gb7g4+QRWZf4BA05mMKlWeAf5nZFUihcjAK1JXGAcBtecJbAHe/28xuQ5a457j7XaZTiWt26iVKIM9KfRI6vdUMnyP/5OrIcBUKcBFvvCeQK8AtQwsC/XXgl+7+asH+PIaonCBlhT0oSUdNIQWKEfFH5CLm3Eihw1poQxaV1uPPEAZS/03qYDpJcQmSeySW0DMjpQwoSOIF6CTl3/u0pZ9ydAW4XYCCqZyLCHcRDkOEPWZ19mPk4yl9rD59HCr57Tn1PI6EuGUxPPW/o4AXyzXJ8wpweLOCg7VP+pjWiyjKdNEGciXk/qEdvE2BpWYK74a0fYo2tWOvIB9ln1Z0QgC9IGJ0mwpvA1PfLoo2alcif1mVBLhmtiBy1j+M+nlwK2JuXy/IOwgFHhlGPYM3Grg8byNgZlsDhyKLqltz0myKAq/82t3/lXk8LRUhqyKmOob5aBSwfgl40uuPZz4AbJb5vYGZLebuLxOBma2IGMlSjE3qmBvIV2vucfOc/C3TwiC4/T/ge9R4jPMIGwcz2xsFGPpm0YaqXZjZJsga52xPudwIVjh/QL66es3sRHc/IqeYM9Ax67+Z2Y7uXkfbzWwZxHA62jB8puDuj4YTLfugvppuEawOF0DfPYpgPfs8+p7Jcfzkdyfa8CUaaelod7+zINvsKC5BM7yF/Ma1BHd/xMy+iYIp/Rw4IZvGdOR7f3SkeHHy+9DdfdnMvZGo/35gZtu6+/9y8n4fCdjSAoOP0BH/BIlQYmHqBflvIWFrDMPD32aCg6HA7oi3TTA/8vffDE/TRMBTxWIspDkN8SdZ9wJkfheOVTNbNdWGR939mnB/JuR/NSpkNx2LPQadLsry6O+Z2Z9Q0Jo+d0fSJr6PeOdvJOuWlsUGPIyUN1NhZt9F82I/d/9nLJPJXdSZyHp3VCTJMKQMaoYVkauXGM5HfiG3Rd/5P9S7AFgdjYG/I5+1ayKDgjXMbO2K1riTKaCdKSxJgdu7iqiqUFkJ+WhthleA9VK/n0WBs6YV8gSw9wObNVEoL4/md9WTfbmuTlqkBcPRWD0RKY2Gt9CGBjmBmQ1FVtTvoX38WBQMM40xaI+8DREBbkX06XrcDC3uGZsq8/oCZrYCmn/R/YGZLQX8C+2RrkPfK6vYuhqdJOgKcJugK8CdQRCYxJ9RY7RnyUnqHvd11o6vvqTurZA12zvoCPMwtJD8AAlVd0AuAn5Ho2VagjOAs8xshWaWwAGJbxZDDPrtQNT3ESIGLwJ3NbEEmTe0Y0d0zDCNXtPR5QNzGO0J6FhWO7gJ2NjMBhUw0YPQRiNKxFsg7skRq/tQ1Ns6YWMF7dhNwBZmNtBLuBuoCjM7qkJ2d/fjM/c6IYB+qYUyhlWop2ij9hYVrTODIPVCtGFI04VV0Pc/1Mx2iVn5BmuqixAzn6UpewG/NrPvufvtkar3ANZB1o95uAdYFzGDWQFuW4qQPrDm/5CUBtp0FHsJGunTJ9QsCUBzbHPgQjP7dnbTZWZzo0BnM0XKIpN2C2S1siG1zddHwcLklIjwO5u/LVpoZnMgQf3qyFfYv5Ev5DSuRYz4diggW6exN1pzpirrzGzpUOdAFGRhMeAXZnaruzcIatz9n2Z2OhKcPGZmj6J5t7mZ3Y02yAOBU3PGcr+hRdoYo4Vl8QqaB33WhiD43IzmwsOYtc56SFHwZfL5IQjWs55xg5H93Q7MbAiipesnt1J1YmZ3Aru4+/hI9heBL5qZucd9nQUFzbpo7WkZ7j7RzO4BdiEjwA085RgUNKWM/9IYehENGmdmX/Uc/6IRvEi9xVnil/9LwN9C+wzNw6pK7dhpirdobhAA4pNyN/VVLcZMfhd/iNwyHY+scLdAbkyWQ0qyDZCQ5B85bRiMhOlp4eB51BTWewN/NLMts7TQ5OP4JjR+DX2X8eHxELSuHQx82cw2jQlxzWw9L+kj2Mz2d/czI/fnRlaUZWhBVpHwecT7N7Pgn4TGeho7Iz4oqlAOuBW5GPgeOt7fLmYhYxmcwk+QsGo08vP6ePqhma2Extkq6FtNQd98W+D/TDFGmuET5FYjGwPjSWBNK3CxFhQ9qyNBY+x5VUF4VYXKx0jx3QxrUK84GoT4xZZhjW4vlovcS5DwlZuhQL9ZnIvm/NVm9k13fyJT14ooOOAAqgsuo0LkVmkBtT16YoxQ1Z/rYYh+bp0oPrOKGJe7nQdQXya0DzrjFqmj67EpzkfRiQoyp1KGlWkyKWWe6XQ1yN/8R6nfpeD1bhKL3LjMiZQkuyLhdYP/34DDkfD2wITOm3xTp+v8wMz+g/qxiyL4dBBJrXtVu5DQ4x1KRn2O5O8lE107p56rUbCK7P3rQt3rht/nkopgiBbBP4c2Ll9Q/m8Q4duLJtEUM/nGAydV7MPZEPPRg5ifO4C/husOahFw7wNmi+Q/AW0kFmyj7iFI6HZpLD9iXi5BUZuH5JSRjiqZ9+2z0Sc/QP6WkjKWAt4Mz/+OBEB1YwNtOD4kEykdbbbeBP5CJKJzH4z5vHdtFuG2l0h0zTBmX6BCJGB09O712PiIpN24ylVQ7nXAfyq8w0phXPQii8nvI6Zys/D/OGpRZ7MRyVdFjF8vYqSPR3N5r/D/U+HZe0QiBqOjcLeVaONtyJdX9v4FaKM7qCDvoJDmosjcaTZ/0tdLwOdz6hgX3nHB8PsXodxdM+nGIkv29L3LQ/lvow12L7KQu5Ta3Ly4Sf8cm3mPKeFKv+MxBfnbpoUouEMvshiaPdW/IzLpHkZMZaz+3Vq5IvmfQqcG0veOCu04NPxeJ7zH5U36ct/wrbPf/3Xgh03yDkSb+r8A1yPlW+y6ud35mlNv0ThuSgtL1jEzsk56sy/agIQZV2XS5a5rkfxD0TqVpHkTBdeIXp3s/1Qb5g/l9yLe50JEB48P/78Tnj0LzBfJf2Z495OJRGRGipWTQpozKrTzchR8KHv/6tC+MUjZsiriEaJXzhg4HylOegnWbZF0dfxiuDci9M+s4ffy1KJ+b42Eckn/XFMwBsvwtfcCr0f6pAedEsjLt12o4285z4ciGjMJCTbWzbYpfMO3UMDEWBm3IMHasgV9dRQSOq0Tyb8gNdcg/0EnELJtmA8JkH8fyX98Ku+wyPONkVFGD3Bczjt8DPy0yTeYGwnmY3N5yfAOZdbmWP4PyND52NhAAWjfztybANxaYgzdSg4dKTMOwzh4FHgp5/npSCE6Z0EZc4U0fwi/Fwhjz2nOF6ev/6FAXnOFcg4L73Ba3jshJUQPEtDG2vZ3RIOLeLNZwly4KvLsZSSEb/Yd7gRejty/OrTvqIK8R4T3uip17yHg4Wb1Fnz3unWuyZXwalGaQ40eT0a845/DNSbc60XBo9J50rxSb8iXx0vtifYwk4Fxkfor04IqVxjbdzSbW2htfTv1fAry6Zv9Js2uKZlyO7IeI4XbIyXGQpbO5+0HN0EGLaNCvl8T9oip9+3E+zfLm9Dga8iZ54iePlriG15CZk3uXo1XN4jZDIBgfTkMbfJPBJ5y9/eb5Nko9XM00t7/Jid5oh08GUXCrLO6MbPXEPOyXvh9Lo0BJ2ZGm5nRHnHEbmZ5mucY3EtGTA7HSr6AfDDmRqk1s18gP2rjkJ/KrIZ7ZbQRGYp8+pyYeT4b6seBwP7eQlTiYK20DFpE30eWhc+Fx0OALZHg9K/UHPcncHc/3hQ5fhtqmvqLqT9itTPSnJ6GBC+bIqLfi/y/3Wlmf0bWGGntWC+NwQruQsKZL2TeYYVQz5tIUzsBbaKzcG/f6iup7+jI7aVRH36ImPHx4f4QZLUyG9pQjvfGyOuD0RH2K4EfNZs/OW2aEwm4JgB7ex9GFi5ow0Zo0/cDz4nG2yT/SNSHh7r7KTlpkmBh53kqSqkpiMX2iIE40jPH9cNRzeOAXwJXeMZftJl9gJjn7zZp40XANu4+Z+b+EGTxeTOyUnkj83x+xIRthpRN48P93ZMkdMCa38ySSMfPI0Ho19CYHOzu74Q0syKlzRh3/1oq70CkDDqIxmNYk5GVzWGeH739K0hY+AHa9I2gfh7siSJ5z4787TVYw1ShhdaBgCdWixTcDHVRylP5JyGh6A6pe6ORX7IFPFiJmdlYYHF3L7S0C+N2Deojh9+T9w1CnkUQHV+VEtaL2XeoghzaCLXgVcOQwm0E8gVc2gexmc2OlDxHAd9AwrPtO90GM/s1OlH0Hlr3mgWErPM5bGY3oTXubESL+oMWJ+/wNyTYyFrUzw+chawqf+Puv8w8H4w2xPOgOXwR4gscjcWd0Zo3CVjD2/B1aWZzIQu7Ae6+SObZ22gtXymP1jUpe+q8DzTlBOQaYRd3vzKVLsYv7oA2cTu7e2Jxm/AnCW0wRI/XdfeHQ5oRqSYMR4rEPAv5utMU7r5Nqv4NkLDDES91HvV9vxvq/5mAL3vEFYaZXY1OH2zkNYuxGC28GVjC3VeKlPEm2vBuVNBXhpRWD2fnopmdgnjCExGt9pw23AdYhLd/GgmBl/cct0kmt1pPIevNBlpqZu8ji9nrgN0940rDzNZB33oZtHdZMfP8r0gRdn94j2a0YEIm/xPh3VZM3avrA5ObleeBV9N9YAoserm7fy+vvpDuQmB7d589/L4l9XgYUl48EckKGofLIf/3l7n7zpHyn0dKyW83accopCQZHH7fik4g3IUERyAB7fOI918KKZo8pFkY8QkzISVrkudeRPfvRJaeJ6P9zijkrmjjkP6LMVphZhNQjJDCQImhvUPcfenM/cuRwuTb7n5FTt7tQttivOXqoe2zIP/mlyI+3UMf7Bje72NgA3d/MNDf8cCZ7n5gUbtz2jOSGq3aHdGiO3KSJ3zl1e7+n5zyZkYC1n2pP7kF4g3PQnz7J6k8aV6qqZuVkKYX2DHbz52gBVVgCuR2lTcP8ns1sLm7z2Hy1e/Apu7+XOp3KaTHYSfW42Ap/2/Ef49DFv9LI/q3HLIeH4CE9W+n91dlYGb7o9PQQ939PqsFbdvV3V+wakHcRhbkTcbvze6eN8YTejpDBWruV5SV9Hav6fdCQr9HW8zTqnYwSfeDSFkfk7IKQ5v7HjKWmGjRfLGgPaWvTN7tkdBivcz9I6lZi/UAFxT0xwNoszJPQZp5Q5oHIs9uoWad2IOstu6khMVVKk9T64LI/z2hjA0RET2woP0HoIX+y+H3HqGMS8LvtrVjJd+hktVXk/E8GFnFXQYsFHm+YHj2OnFroaOQBWcP0vRehASRR0WuI3PaMIJ6C8pb0DG2EZHrnE69e6YNGyErmx7kB3cfdPRqo9gVyf888FCJeh4Cns/cewMpeJrlfRwxeNn7/0Mb6Wb5ryNjKZP6hiND/7+LmPlTwnV5uNcT0kS/KZ2x5p8p1Y5kLOyQSbNjeHZYThnzoSjohyAh0HeBhUv2zeTYt82MkSnAtTnP26aFSHB8ZeZenpXERzllj0SWZtnrPLRpTE6bXAGcG8n/CYGmpb7He0h5mG3D+1XnXM47/DW89xPAj5EQP8+CYuO+aENB22YNffxCbExRnheYBKzSR214NszXFdss/x1a5In6oJ8fQ5uaWQrSzBLSPJbzfH1qwpbYN5hAxKo15B1ccK0S6MtdoazzI/knpedRG+9fN++BnZAiawrw49T9cynBE6CN7cGIr3oSbXLXj9QZ45eKruhpCmC/QEvyxv8n5FgchvwtW4xFyviI+tMiZ4X658qkuxgJH7P5/4tOtliTNoxCgYyz+T8kxzo4k+5KIlbc4dkqyLq0F62vX0o9+0l4x17EfzWc3kL+M1/KvnML4/B3oc92KRib+4d7x2fyvgn8q0QdNwL/qzgO70NK3rxxcEWJdlyR/g6Ij/0QKTEeAb4SybMV4ufuQHR5CDrl1AP8PKRZgvr9TXb/eC9SQuS16yPgwhLtvxD4IHJ/A0Q3JiMjjM2Q0Gzp8P95aD5OSY+vTBmbUjtNE5vPLyPBX5J+oVB27nu1MAYb5lyFshYCvoMsow8N/zfseULakdT4p15ED2K81blo334UsHpOWZVoATnrVE4Z+0fuJYrzwn5FPNd/O9HXkTa0vR6nvkcvMoyAxtPKKyM3cY/QPr17gowl9vRyof336BLf8F7ghf5u7/R+dX3gzhj4EB1raAWJdQFoE/ka+RriRLtypbvHnEq/gY5AJUh8gg1BjFuCWZFgogHunvWz2Ap2RUKJh5MbpgjLx6IF/S5kCbWzmV3hcQ3u8ihSbK4/NXefFDTEsYjNw1L/G9KsZf1pTS0q8/u4yL1WcSTasP4hL4G7n2EKIHQEsJW7n2tmRyBLOpAFQBmflEajA/tOvEMVnIAUCbt4xALA3d8ws12QYOD/IZ9/aRxDzX/Qgmiz2VAMNS12zIJ4OLU+mItin0VOTtBAazPac8DoVDu3QtbbRW3IrgGLINrQDA8jP6NpJEfvm+F+5Jsti8eR/9l58uahyRfehogRzeIYav0/B7LYiGFXqPNFOfWbegf8Xrosj4cHq/SFgSfcPetT7L9I8RSdby4rpailSRN8EQkNcr+hu481+cJdLydJFVpYOeCJuw8vymhmC6NN3HLULITSeI16/5XrI4uHrGXALMRPCHQCX0VWV+t7TnCi/oLLF9q+yHrkBKTkSaNa2hU3AAAgAElEQVTIYngywdICBRJ8to/asDg6utxuYFBDQon+xBBkoZxLt9394zAXt8l5flc4RZRYuaWDoI0BRhWUP55yFlcTkZuXLB4kn4dpGe5+iZm9iFxjnGIKBPijFvL3UFPI5aGt2AjASmb2OXd/IVXfH83sjtDGjWjs+9+7e9EYmwcpKJphTvLjkbxGLQglaAMMom8PpO7PQzwGw5JIUddsHEwhzpu/QTm//lPI8b3visy+DjqVsjswxsyOQy4lvoGUfvt7CJQbwdzA9e7eli9SZLW4OzDCzFYh+FAGZg2nSb6NTgW9iU6tpPEQMNTMFnH3V2OFm9miiCe5L3U7sVwzpMj/B7IejuETZNjyfM5z0JjbxMzm85xggMGifxPq/W8uhGj255HlZMNJBJe/9wcRT3KUu//S5LP2ScTj/cblP3iDcMLnq9SfRrkBWUYWjbH3ES/UDAtR74M2aeM4MzsICeO/F640DI3BgzwnMKS732Jmy6ITD2la+hLieUe5+wep9K9Tzu9uGSxNhwK8hXZdWjLt8OT/cNLsdk9ZOraIqrRgrJn9wt1PzcsY+PsRiDfO+sK+A/iWma3jOadpTbEfVkBuqzqOiusxaE/4lLufnVP+42b2dWStfSQS0reKh6kepBkzewspXQ4Kv3dDruvGVSi244GaP8voCnBnDNyDFtTScPdhyf/BhP2GCoR9PDqGkuBBtKDuhIhQsukehjRUncaayO/nB6l7u6DNy97ufn7YLDyG/Hi2IxhphsKjQUVw92M6UP+6yAq5GR6lPqjQY8i9AMjiaZGGHI1YhswC3aF3qIItkGYv96inu39iZrejQFFZdEIAXclJv3Um2nNaMdMO3qHGlBRhcRqDOzyJgkM1w2LomFUWVyBh2wgz+26WEQqC7RFoo3p5JH9/KxHq4LXI9rFnD5If0LEK5qKc0OAlFBCo06gc8KQZ3P21sMF8Cs2XQzJJ7gS+aWY7oo3z4WhcZAO3rUyTYBNmtgS1wKBFgXOyCp1BwC3Tm/A2QRCgxgLMVVWmdqQNSFBVJiBhHh6mg8LHNjEZKQ6aYbaQNoowjy4IVyt4nhJHHpG/vtg4PRm4ysw2qLhpmwp3v80UmO56dCJoKSICmwrlT3WlYWbHIFc35+XnmJr2AWQdtVf4PQIJO0aQo2gtgdeQ4KYZViQnajfayKfLuBfx1vuiIMHJhncT4mvqh+i0RDMMQRbXWVyLhCZz5QlQg9BlGAV8deBZ9ghKvzORcQXI0mwnd3+soG3jkc/ttuA6Orw94hl+Fi5HlovfQf35DvCtiIDzYiSo+ZuZbevudQHrgtD0MqQMvDhV55hUmjGINx1D+7gstPufZvajrJDSFLDx90jYfVa4Z8BqaJ9/Y0x4m2rvq+Hb7IhcbUw0s/uR4Ded7h/kBMtrgnYF4em6qypUknGY+POfZvCMW49+QlUhclVaMAX4rZkNo4QrlUj+/0OC0yuCIdJNmfwbof3BFBoVMR1DhfUYxJOkgx/3AKT55cDfjkFC7HYEuIvS6H6NUE96XcuFmQ1HCr05UrdHhqsKLzCCDgVq7oKuC4UZ4UIWlB9TEHChSf6NafOoYsh/HCJEg8PvOZE2uwdpCk+hFoTg133w/u8g31Hpe3eio8sDU/duQv5PY2U8iISSuccWEHP0BvBgf3/zSNveBcaWSDcWeDf1+zJqDt9vRAv8Yqnn2aNmK6LNZtPjXNP4/T8k50h4Jt215Bz16+f2z4Y0zMlRnInoGNtt4f/kyM6dlAiSVqEdN4TvO7QgTXKc7frM/X3C/aK8SWCXfSPPZkenAHrQsc/jkOuA76IN3zPh2ZP0caA8JNw8Am02Yy4wKrvBIMetRdkrp8yyLjD+g3yPxp61TQvpQMCTFvrvH0QCxyAr5I+pP9r270yaz2XblXluyNpncqac2NHYWOCce4B/9uUY7cAYv4EcNxb93QZ0nHMibQaVRIKZKcgXXX+9211oXV60IM2iIU3TAD399A4HIdc2xyPhyhBy3DJE8hbNrwXRWjb1KGo/v2eWRlU+8oyEEVNIBReL1LNFuPfnnDKSAJgrh9+zhHnRE2jM5eH79BACNGbyj0Un4uYpaMMSyAr2hkj+BZAQeQwRdylICTYaCVwWKNEnhyLlQUJD7wSWbJLncMTLNy2/STmLIivYhxCf+yGyOv0dOUGTkfAzcR0wCZ38+GW4zgv3esNcn7kPx+ccSLCZzJfx4ZuMRqcYkrXoPgJvhHw7Twz9fWmJOi6l3v3CxXRofUC8YS/iZ+ePPJ8/jNUeIsfnP20XNbo4IPO71aut/H30TpVoARVdqYR0B6fmQEL33kJuVpI58ONOvG8f9eEbpAIqIn+1PWSCk6N9eYMrkRLl7xTKuz/neal1DcUOcGRR3FLeEmVXDtTcvUJf9ncDuleHPqS0NW8gzeIuSAtWeuNfse6Vw4T/curetujYTHrDO5W56HD9H2cIzSDEnP0jk+4C8v10HR7aeCuwXOT5cshapQdpqPv9m2faNw5tFrYoSLN5aP8dqXt3omMRCfHvRUe+Fgj3phJtJLQZE8r4Wn+/c+bdHg3jbemCNEujjUq/+kbMaVu/RnhN1fO10I53kAB1WbSJGRD+PzYsvD0oCFY2/6lIIHEiCh44V7g+j4IkvgOcUlD/YGSZOXVjT70A7X4yzE6H338WdMQ3T2hXJ8ALeXYL11yZ382utCCw1WtKTvvPD89/VPCOB4V6z8t53jYtREL4R8Oz24GfUqMp+4W/PWEs50akLvmtriHfj+4Woa5HkLB9kczzg9EGYOec/IkgegqymDgFODrviuTfDW1I2laM9uWFjhm+BzwzPbYBHbediKzJcn3INin/WGTJux99tKltUv+BYQw9goKoZJ9vgoRJPSjoYlFZA0KfTOtN+4bUlGot0SOabPiQRfvfyFeCzBdo0U1og/dszlV5DKM17YaybS9Z5nqhb55Hroxmop6f2oiagK3BB29IMzj0wdqpe19C7lnSa9E1RJQdyFK3FwmTB2XfLbTp8tDO70Xyj0A+LRNaeH9Ifzni55MYE1dSoOBEArprQ9p3QrvGhHLfQAFr8vpxIDo9cTdt+tyu+B3nRTxBdr1Ofl8NzDcN2jEnCkL8Lo28yHvIArdB6RrG2MsUKP6RAcHLpPxOIgXpK5TnST5Cp3+uAraLfMN+F4RPwzGTzJcVUr9L83ZV8+e0KSoPyLsi+SvTgjDOzqXmQ/yIMH+SMbxnib7dGtGC7Bz4Dwpu3O/fv6DtDwL3pn7vE/psj9S9mdFJ5QmR/s+7LqPGS/QAwwvGZRkB7kgkwH0LuWMYHPJeRkUlAqIFv6FRPtSLZDmn0qbi/rN2WejQLj7lMLPvIF9PzY4/u7vXuc4I0RVLw4t9NaXLXQL4OmLenkD+4Hpy0kbv5zeh9g4hsuT77r5q+L05siY92lNHW83sKqT1a3ATYIqufRc6ctQT/n+OWoTJ9dEm6uFQxgfZMlJlLUHjEZ+xLj9SiS8ZkE/hd1O/y778+ZE6d0CBKD5BDNHF1EdZ3Rn5ARuEIoxebmbzIM3l1Ci7pmiv2yMmcQz6fk+E994cbaou9Uik3JB/VrQxXQEJfGP+FN0bjxxXgpkdApyEGMjDkQZvSng2EAmnT0A+4X7u7r+t0H7c/bgOt79fI7xm6kmipyeLQ2/4mxytNuJR01uZw1lMndPh6N82yL/qUqEdzwP/RBFMo4uWma3n7neXqczM9nf3rI+t9Lu/h5RhzSJen2e1SL8ru/t/rT7ybxGS/hydujeImmuDSdRcziyFNpKOaNMnHonoHHz83RfKuR1tlNJ0bDcklPkYWYY1HF2tSgsD/RsV0jn10Y8ttG+7hB62g3Dc8lFkpbBku+UUlP84etfN3D0vin2zMk5G1uNHImvcMq4tKqPJejInira9K6Jvv3H3w3PKWRgdHx9GvT/uW9EmIHoUthNtCP6jByO3NBORMD4JHpJFw3pShZ/oFMK68y+kfHPkriOZR0sj/sBQf24Z443C0ejjUCT5WQqq6/g7hKOu/6AW8fxNCo7geiZyfAv1bIgszdLHzpdD/MeiFPtkDlX7gILyy6zpe1Gz0HwabWBvp6QvxRhPFuo+GPHljtaRuZGweDJa7w34qbufVqaeVLmzIR5zfuRj/YGcdAPR+BqKxt51SLHw73B/O+TzfDSidZ7Jn6xlzb5BDO7uA8L3vQjRkIeAb7v7U2Y2E1Ky/CKU/wfgEHevcydiZrcgocZQNP8T10R5tGCzTP6ZXH7pK8HMVifCk7jcIZXJvzgybGnGGxe67Ajffm3qfbj+23Nca5nZmUhgfh2ybp2Yef45dNLoa8Cf3H3/cH98KHv9Mu+XfQ8UGHGqWzEzmxfNq21SaaDWD39Hgqeoj99PE0LfOVLcPZf6XbqIKvljtLgFvjQU0SAnqEwLUmXthsZcctT/UZq7UqmDmS2A1tEB6DRZoTus6QFmdgbiaRZ193cCr/wcMiz6Bdq/fh/NxUuSfXnIW4aGvYsMfKJ+4kMZI72Ju0wzuxcZ5s1O/Txte/xE6pgPrctpf9o3eYGrly7q0RXgzgAIwrtLkUDgTXQ8oYjRrtv4VyXsnUBJ4pRuxFQ/fWZ2HrI6/gXacPwJHaNd393vTaV7GrkLWDunDQug47070LhIOdI07ucZvy2p/PMCZyA/Ulk/gr3oGx2ItFrtCHzUkJzNipn9Em32YgtsQnyPdvcTQvrlkUDneg8+tQLDfwKy0sv60Zkc3u+wRDiaqX8HZDE1f0HzjSYbrnYQ2n0lWvgc9XeyoC+Ovoch33vb5myWO9L+dhh1M0ssxrcvqBszuxJFEs7zcbRRUf5II6LBrszsq8hKcQNqgoOPkZuHU929wd9yq3M40pZKvjfN7GOgdJCE2Dc0s2dRII11vGQAJTMbicbcz12+5JLfpZBscsLG7GY0/g5x92sz9XwNCQMmoc123oZtGyR8nivSDkNM3q7ufk3BO1WihaGMtgKeNBnDifDvAHSc+4/ufmBB+rZgZh8hX2Exf9lly1gO+YJbtUnSjq6pJdaT5Htei/w+NvgND7TwHDSGYt//PeRfflRftKHkZnGqciA7l6vwE52Emc2CTlfsS2OQqffQenOkR/xFm9lQZH2a0N//UaxMigpQTQFdDyIuiD/Dc/xGmoKrDUWK0d/4NPTnbGZXowBXtyHfh09RzNNGfUy2sqYjZdWAzL1SaMIPbI18da+befQw+va5dLgTMLO50Am5HXOSXIV8Ujb4tTQFPmobQcE5GfXrn9HJkKxv+82AC9G6+4C7r5N53spcjtGCiWhPcHaR0qkvYWY/RlZnaV++6UCqye8obxnW9MnufkMbdS+E3G0shXj4O6k37vgSUtJMAL7o7q+b2VpIyH+Cux9lZichGnYmEsZPQDz2EKSk3B+NsdOQUOa36Hvu6u4XZdrTliA88G4HAJvR3Cf9smX65rMEMxtNnKbNhL5Fogi/E421rJygMi1IlXUoCiad8D13I8OiibG8MwoCrTsLODih+2Z2LFLyp+nAJGDN9LrWpP8Tn/b3ZvcFJr+3CYYjBWWeUcJAJLhdCyl8bkRB/5ZEwvL3yQlWmUW7Ct0uyqMrwJ0BYGb3oah9ByBfWi1tXgq0ezOhgEMJkZ0AjRMzMKiHoijut+bUsSk6LvFrd88Gkylqm6HF5WtIW3+Gux+dSbMCCu6QbJAMaXK2zKR5Ajgr0TAX1DkYWbykLWhv8wLL4yB8uQMF53G0ID0bHi+DjtMZOkLxGDpuUkngk9OOtZCQOG0BnERZPcNzondGymlJOxYshW5HTN0oZL2XHJtfDh1pngcJz15w92Nj5VRBGCsHAj+GhuAhz6EjZqfH5ken2t8uox42GXe5+7ebvOMopJiIWh12WhljZgOoRcF+Myb4nl5gZu8jpv46SgRJcPcVI2V8BNzq7ltPgyZn6/4VGr8ren6E1sWRD+A/uHsscnySbhF0PCt7EmAMLWxk26GFVVFyDBuKaLtZXwiWzOwVFITsu23mXx1ZteVa8afRSQFik/VkavAqd78jJ/9Q1PYBaN34K1IKgzbsuyCr0inAJrFyOtCGo2P389AX60knYbICTVvNvQjc5+4fFeS5CR1fPBsJ+lq2TAnr0UnoW8bGYcKHNCi9zOxdZN2ZFTz2OczsbWSMsFJMwVCyjJbWdHSUdztk+T0cbXSj4zOLIp4s1Z5+tRgzs5XR8eM6hZrnWO92sN63gX3c/dKCNIsgIe4mEQHsxq3U55lgYan1ZDJS8p/hbZ6qaAdmthVSXL6DrIyHIaHpvmgc7oDGxe+RT/mGoHumEwU3uftWbbZhMaSQ/QZxhdx1SCH7YirPAHfvMbM9kAB8I3e/K6f89ZCyZT93P8fM1kcuE+r2Ye3CzJYM5S8ZaX8WHTcQ+SwgKPrORScEvhIz0ulAHfOjU2FbI2HgYeh06JeRYdNe7n51p+ud3hEUjd+idlr5NHd/rkNlp/e7ZS2oXwG2cveHM+U0td5t0pZbkKHSSU3SHYJc9G3abl2fBXQFuDMAguDiPndvyfquZNkDga0Qc3G7uzdogczsMqRRXczd388pZ07kY+kaTx0LaLEtGyKrkV3d/ZLMs9WQv8WFkbb5t2lNlJnthwQah8esB6vCzH6BNIrjgO+7++OZ5ysjJmgo8ht5Yqfb0J8IgsVvIh9E15nZucBuCSNlZgsi5mAtYK2+toQwHU2Zam3kTY4vd6L9VRh1M/sjWsCXiVnChDRzo0BeV7j7D3LSjKaClv3TDJP7gFFIg/w88m+aWJb/BPg1sjS5CPhBjFYFQfo4d//ONGt4re5ngEfcfdsm6a4GVptRrUwKxjCkhH8ocOXkwBQ6Etq/EH6XhXvmyG1ow0XAuu6+fGutn5r/H8jv5cVIgPZ03to4vcHM/onc5ezv7n/KSbMPsiS50d2/Mi3b91mBmb2DBH3NLLjz8n8DCSWnIJoXE8R/DwnztnP3v2fyv4YEMKWUGMHSxxF/82rG8qcZ3OtPpExCG72dWigj25621/RObFabtG155CN+QlqpbjV3Zi8G4VmfuDebljCz5dz96RLpDPHnJ3S4/tWQYvS7yMjDkV/qM4EL+poum9l1aH+0vrvfGxmHgxC/uBPydfxUpIzXEa1ta++UKmcp6hWyLyGF7PiCPP9GJxcb1slMupuBeT2ccAyGRYPdfaFAC25390KaYGbDkaB4z8z9vyJadT9yc9LMtVXUIr+LYgRB+WPAiX0wD1typRJ+twv3Drvp+7QiZblrSFl5OzpdFUPCX9+VVZya2a1I4VcofG3SlrIuHM5G/pC7ipgi+HTgiLd7VbvQInxRH9exKnJS3xBsAwmVbitRxm2EgFkV2nE302HEZmQN9iapaL+RNPOGNA9k7n8BCWT6/T0qvP+LwH9Sv88lE5gEHcd9A1lB93ubO91+ZMXQgwQ/DWUg4eGfEeO5fCZvR6M9F7znasha/SbiQU/uQhv7SgGmSrbl2UA7lk79LntFA9dQMUgCUrJMjPVNQZ5STv3zrlQ5H1EuWvRl5ARj/Cxe1AJ8pAN+lL0agieFMpZFx9iObLNNk5g+gyUujxRJ6zRp+30lyroPmNTf7zSjXsjVSdvRmBG/VRhwFLk46UU++rPPLie1Jpaor2PzEK11oyv2X9trOgpOWCkgDhIeXw+sl7l/BLWAPz1IiJjuw44FL0Ib9jKBgYYTCW7DNOQH+voK3/ogJKBK+nUS8Dtk6U3Sj6n+70Rg0deAu5uMw5mRFfgFOWVc18pc7HC/vQdcWCLdhcB7qd+jgI9T47hM8KSzs30T7r+K9rkNQdo+bRclAlK2OO5KjcMW2nczOnnR6feeHMZBNDApco2RBM37d2qONqwVTa5cvu6zfiEF7kn9WH9ZOnA+ivPR7302PV8d92XaRb/gRmComZmH0d9puPujJsfW+yA/qGkshgSrzTARWLNiUyag4xd9gnDUcR2KfSzhjUErlkcWI28X5JkUtFhZi6UH0WarpaNiVWEt+kvNwuv9py5I/XHDJIDYbB4soV0B28bS99+vnSBqnWj/uiiYxL2xh+7+iZkdgDbNR6ONUYLfIp942wIPmdlDyO0DyFpq9fAu1wC/lbFK3fsUBr5IJXzEzL6JNjE/R/6O0/giCoJ3qpmdgza2fWXNMARZw8yc+l0WUToXvtUeYZ6diTT7IIubMkESjkTf5w9m1uCvLwfj89pTAk7NRc3rwMZmNofnn2SYHdGJUn6oyqBVK68svP+tvhIr8uczv6tgKNpoH2PyB30D+YFzYutBL4qKPM0R5vfewLGeCupnZkciumPh98XuvkukiJmAxyP3s3gCrXutti9qfZiTtlJQSZMf4h+gkxALoSCIh4Vn6yG6epn3oX/XYNW0Mc39NmbXpIdRYK12sQY6TXBdXgJ3v97M7iDOlx0J3BPo4O9K1Je4EXg587sdnAxcZWYbuPu4Nstoe033zrjk2AW5sEkfQ10NxSmYgoSjqwI7m9kV7n4FojHJcX9Sv9vF8PC3mTX0UBTkNmsZ1VF+wBQ4d100FydU+LYtw3Wy6XTgdDPbBLmc2wYJdQ8MJz+MehrTSsCmvLTzUHOnBlIsk17nXSdJ/j975x0uR1X+8c8bQg+CVBGICV1C700IIAiCSO8lglSVogg/ehMBsaGIFIXQQSQUCaBASBCpQkB6D0QgSpMaEpK8vz++Z7Kzc2d2Z3dm725u9vs889y7M+fMOdPOec9bvu8/yJ67zgZGmdn+7p7lPdcqTEJjST2sGspGmA0ZoRrBrKTPsV9AuToaPV/HwBpISElj712PpgrUBRk11s88efPJ+D6lBpWKu99top66Cn0HaWPwYJS3ZSLSe4wL+wchSpw50Xg1rmfVzkEYB/eiIpfc7cGz1cyWQ9GSeyKFdDNIXRO6+6AmzzcdwWN6Kyp9f8iDZ72Jb/uLyMGmqb6H869BiWucvoquArdv4HjkDfNzMzvGW8BdEzABhZslMQkJKfUwL80PSBGGkLGILooQZn0SmpTqITXrcJP4H1Ju50ZJ4YqjKUfxBEqwEhdKogXx4shrNF5v4SbbrAlrLGFJcrFcRv+LCOrDqDyLfkgYThOa08LrHWXRzgV3H29mDyMBIqnA/TZa2GwOHAMcZWa3Aee7+1/rnTuEAx6O6CAiAS+1GzCdpzjiXSuT9H4RtICIhMtPyLeYOBj4K8oEu2UIx6+V8fp0ii+yI9yMkoHcYGYHeyKs0cwGIR67BcPfiFOqKH3AOMobB3odnuA8TP5uEsOpLKTWQYqMWkjOBw9T7vvcCLIUR6eSrTiK40nEk1kPg5FhpAdqKJFPQAmd6imRGx3PeyhwzWx/ZGyeLexy9O1EmAt9R58jZX2pMNFPnYfuQzQOpfFPZs1J5wJXmdmqnjPTfQKfE/IW1MHrKDIjiTXRffmlme2ExsV/k23EuKzW70bg7rcGeWykmZ2Xo+00I1K7ZZLVkNfkp7F9e4X2vuvul5vZksiYegCiRhoUP0EZC+6cyFKcFZIHIgSFxa+QUiKaLy5DlGOY2XfRN7wDchIpKtvWK3QPcI+JG/b/qCT5c+Tpua2Z/c7L4SZ/h2o56L3wdxDwdGz/HEj5kYULgIvCt3gj+rbTEplGNHJl0XDcB2xjZifVMJSdgKLE4gn5BlMx5uTFECrfaRzjqM4rMUPBSkhIaWa/QMbIC0inwzkYuNDdjyrQz3mQYi61b9ZAjg96rknW8DpUKuF735wUKpXwHj8K/BlFAr+dOL4gctrYBs1dHQlTct+rUERudK/eiBVZFiWWLKKIz7UmDOPfdF5+z8i9ESu/OsojshSVvs9KxUD4deBKxCX/l1AnuSbZMmVfhP6IbnARFGnYRQ10Fbh9A/sjD6EjgO2C91mWsJvm6VEXZjYrsoqkJd14FtjQzObN8kA18XduCLzQaNuh/gJoAbo8CvEoFWa2H/CL8PNZ6nAspeAlYKiZzZNlJQ73YGgoG8fjaEBsBMPQ4Hk2Ci8a1kDdaHC/l56Km9nQBA4SpKIF4FfQhONIAZBMLDIehf5EeAoN8NsgwR0zmxu9A29QMoJ1+1r0zl9DdsKSP6JvI4ky+l9EUC/irdQMUq3sLh7Ev5jZUkiZuC9KfLGNiaP198ClaR5rwVvuHqTsqid8WNKTpwxPX6udJGFs8GCplSThFCpKlSiZTRJVSpcSF9knh35vAbxgZg9S7YW9HpqzXw1lobLonCv2Oy+ib78sBXSpKOC5WAYup9g9OR0YbWbbu/uNJfUpLxpWHCXq/xK43sx2dPcb0hoICtp1gSyu6Ga8D+PnLzSehwXzhSj893g01yWjhMaghC3b0gIFLhpLDkTXextSGn6ct7K7X2fi9b7TzE4CRjbo7f4Y6YrZJIaghXESw6mMdRtQwysrILdRO6cX9lgk2xwXtixkGZHaKpMgWqRkNM7G6B24GsDdXzGz+5Dyq51IVZwVkQcihHs8Gnm7/xeFR38zUexW9L1uRzmybV2Y2WpIOR3xLE9Dcv+Q0PbBZraVp3DSNohxSH6O8Dh6D3dDXu6Y2cJo7s6SgUZT+Ra/gWSELPRDjjIroPXWOBpIbEvPb+kkNN6ebGa7A9eFfjq6rl3QuuwzNOZFyraVgGdjCvgNayjj+6NvYHVEF5HElcDRZraAu7+b81o6Caci5W1TCSmDMfIwYFN3/3vi8BPAE6bcCPeY2fPufnHKOWop8gegZ3g0Up5dlVL/G0g2+BBFSAxFMulBVOf4OBe941Wop7yNlXN6OpYQ9k0C9vKUxJbu/o6Z7YWcaM6gOsKxIxBkoBHofT8fySVJj+Q7kLfyU0hZ34p+HIB4hpdO7H8R+Lm7/yGlzleAO9HadSSSn5J8uDcj3cB0BS7VaxJHUUX1IovGIoNhFzXQVeD2DZxCZXIfTLrnTy1Pj0yYQnaXR5P4V6i2sEYYgRZzl5jZHsmw4+CVd9WtkdQAACAASURBVAmaJLIWhK+k7Q8YgIRhQ4PDKXn73wAOQ/dmb3e/uon616P7eouZHZCcrEyhnBeiwS+Z8fk3wAgz29Ld78jZXuFwRXcfmujjnEg5/gJwlLvfmji+NQr1N3oK4KOBw81soWAZvRVNQmea2ZfQInsf5AGVVBiUgaOQ4LqdVxKWrOTux4e+RwlLvkm6F3kZ/R9Hk4J6EW+lRlHPyh768zLwIzM7HilAD0UGnJ8DPzGza5AXzmOxaj9E3oq3Iy/cE4C9kfJtaSRQHQn8wt1PbMF1ZSVJuIhKkoQRwaPrKHf/POU0bctm7+7vmtn6SLDbDikWNowXIXjpxhYxhekDetHLKxdK8FwsDHcfVvAUs6CFzPXhW6nnQXhv2v4mUVRx9Ajwa+BaMxuBFnNxQ8KeaLH2K+Ch5MIwKBmLKpGLjudHh7a28koiw6oC7j7NzMZm3IMysDcyIm3g7v9qtLIp83yE8xCtS1Zxd/ekPH8GUv4e6e6/ymjjCKTkTVMIFTJi1PDCrkvlYWZD0UI28p5+lwaU3wGjaa9MMjuxcSvIwasCYxJRchOQgrwUpCjJiijOgKblgQhHIeXtlcDB7v6pVWdGx90nmNkzwKaUS8VRhfAMdgv9Xws9n3eRDH5+iGJZBRmavoXGuG0KNns3cLyZDQxj40jkgXmcmS2L3sMd0TrnpoxzpDlbZGFd9E6VQsPh7k+Y2Tbo+S1HkGVjMKRo3zsWKTAxtLl82BzJgEtTGxOQwS2Js5HcfJuZfcfrU2F1GtYGnvWM5MM5cCjKM5NU3k6Hu99nZn8HDkGK4iTGUf89MGT4SksgFq2RN/dKMr71ImVxGNfPQwaUNTIbaJ7mbnPEi95DeRurNDnINV/PKtNmHIfmhe3d/RYAM6tS4LqiNMeiXCelrwvNbDiSTSL5+c1w6MvomVxoZhu4e3LcPR7pL77v7ueHc1UpcMPY/gQaWyNEaxIDRqF5PSuJ+2TkCdxuWrYZAuatoUztohdhZqfQwATtCX6vxEIhsxmk8Fk/OXkGJe9jiA9vHFrwPRcOL4cWboOQ5+nqnp79vR4twmTEE3tStCArE2Y2EfGXfq3J+nMhr6IVkfU78p5zFI66LlrUP4kmvU9jdQciIfcgpOiuFR7VMs5JM/spyta7XFYohYn/6HngPHc/NrZ/bbRgPMfd/xb2HYSUUdOLIeFgDXcvld/GzN4A3nH3VcLvS4ll+g375kHP5M/ufnCifuH+m9lpaJIb7O6vm9kA9BznQ2E/kaC+BCKSL5JlNRUNWNnXQokp9mng3GshIW5PKuPNQ8Av3f3PZvYYetcHuvuHGc9gS7SA2dPdr23g0vL073P0jV0E9OCvNbPN0Ni0EEok2MlhVksgD8bFw643kADfKj7ijoGZ/QQJurk8F5PzWew8zXK1YWbbAp+7++0NXwDT57O4krkW0pRvTcPMJgG3uPvO4fdsyNN0jLtvGSt3JbCju8+ZqB/JA7X6nnXM3b2/mX2IOOF3iZ33AeQVtkCkwDKzu4Clk0aEEsbz/wIvuvsGsX3TSGRANrOrgG3cPQ8FVEMIMsXd7t6UAiiHTFQFT4R7mzjud0Dh4Y8g5X1SEb8WUl718BIvalQIyv8tgIUjeSd4IP2Lai/s+ZCxbUSs7t+RUvNnwFm1PDxrtN9umWQc8Im7Dwm/v454G0+OKyfM7CYkEy5S41yzIdlhKNVzwmjghvhcl3hv8vJpTgC+4e5P1i1ZaaemPBAr9xR6xktF/cz4Fm8A1nX3KKS3NJjZYKTY+g6iZDHk5fVblCiwB9e9mT2EZOH5Crb9VWTcvjxSwJnZt9H3GB97xwIbpa2POgHBwWMnZAyMntGbSLl8fcJYh5ntG/2L1jX3oYiJNExG7/ODaQo6U8j1rGhMmIaU0rWorTbLf2Wth5l9BNzq7rs3Wf9jxN++Z51yVwHfdvcBKcfGkT2fR/f/buB3aeNtmFNfdfd1wu+0OXlWNMeMThrlwvHctEjx84a6ueZTM7sV2Cwp13QCzOxN4M342iNjLLwGjce17lMz7e+O1kD/RUbU4bExeXYU7XAKomGpWqOZ2WsoSeGQOn2/Ft3/hVLavwe43QPfbxfF0PXA7QNw91MKnqKWgPc5lYH9THfv4SkbrC5bIOvxqvS0oBryRtyhhnBSiy9wMvC2t47bF+Qp07RiNNyDTVBI2Y5I0Ih7VThS4h2SFHSoLKoMhVweWKspWvfd7grck6W8BXD3N4MwtQsxK627P4wspPGyF5rZo+h+zI+U+pc2sxjLgUJJyErq/zUood9XgNfd/WMTNcfVwM6xcmNJDxEqA+MoZmVPr2C2CArd2zh2jg+RYeI6U7j/ssA/3D3y7PVQdxYPhPbufocpGeL3w5jRLNIUb40mSehYuPt4UsLYZhIU8lyE6Z6FzXK1gRRadyFv8mbQiMdU2XgLKUojbIS8Pv6RKDeAdC/88RTve1Hvw6JJJeclnSoniQG0bj59neqkPg0hqZBtAqOpKPDWptorBirP57CwVTVP8ftSxAt7VeBRd/+/ZhvvAJlkDLCXmR2NvI5OR9eejLJakRrvqikq42pk+E3K6vsjj+I93f2+sC/ynCqsOKvRpzzywA7u/h9k1P1rmpI0gc9Q9ECpMHH2boE8+qegaLnfeEoCNavmZlwCmNfy88qnKg7d/Vn0fsf33Ry8b7eh8h7e4k0m/ukNhHH3irDlKT/dezA4GT3ozXsUDo393w8ZoAZlNd1kG61E0YSUk8iXAHw1MuacpJG0CRRKxmfFae5eATYxs8Hu/mrK8chQs2min52EBZBsWA+zUW3cKQsHoOe2qScc8cL4fGEwno5Feoi4k80iyOhaDwbMk3bA3Tt63TWjoavA7aKMhQIuj8M1EJ/clkiJ5WgR81dkPcycWL39nmX3k48vLhOusOZdghfk14iRgyPvuSwFcRkL5kxY/qzfiyF+snqYhMIt6iK0l+ecRdGShCWN9L+IoG7lJeqoFS5X18qeRPDiOhSF9M+KFkDXIq+th1GY4YmIkmEaCkeMEHmQz5fY/zKwNfU5FWuhcJKEeg1YGzNmtwLBA2wV5BV+Y73FYvCm2AktnuJj2Wjk9ZhGQVEGFkaeFs0qbwtxtQW8R4EsuJ6gp+llFFIclbDQg+JK5KLj+X+pbRSOsByt4T8FjZPfM7MB7t5o+H8ZKNWIYKKBWgh4193z5DIoQuUxkernXBp6USY5A82bZ4bNgLvcffo9CbLBkmRwHZrZEOS1OxdSSlxDdfKi3VD+hDvMbB13f7pkxVmyP43IA78C9kBOIFkc5nEsQeM0GXmwJRoPLgIucPc3a5QdmvjtKfuy0NC35u5vIFq1Po8S5pQZXfFTNCHlvSix3ukoCrXqXTMzo5IjplaOhyIomoyvKC3SpSgiY4yJyuUar0Ty9Edj4U+Q3DC8ievrDbxPJYKiFpZCtCQ9YM1TUIAMo6OTyttExWeCp2wyce9HSIlbD0tSQHbuIj+6CtwuSkOYVG6mdRNIK3EqcL+Z7VtU2A2K2tzec2UsmK2ErN/A28DGcYtqSjtzoUVYpw3Q7U5YkomcgvqweqcJf2t5DZb1Lg1A3ICHICVMxHF2IVoATYgVvzmELD2BFuFxxX6kHFoZJTeLMChcQ6mJ2+LK21rK1zBOZXpAWwMZs909j0W6IQQBbU1qJ+/C3XskDTIlJzgSeSLfF9t/MbBfrOi9ZrZFlhI2GOOuR4a4pID4XcR7uLOncx4WRSHPRcrhanuYgga9NqKw4qgEFPU+LDqe/wPYyczWzDJaBkPOskCPhB0l4aeIi2+kiRe/qQSuzaIMI0JYGB+Hkj0tGHZfRhhLzGzPcOxAd38qUb2IF/bfEb3CDAt3f8GUTO+HyMjwMMohEMdmaO68lXSchpS3Z6LkR1Uh42Z2cihzHJJhd0r0YVCxqygkD0QRNs8Dq5nZ7FleuGb2RWRcfMyUsK9ZpCku9gH+lNPDuHRFYTDO3+fuNY30ZjYMUSjsV6fc3MgQmaW8qaI/MSWAXgp4xWM0IWa2GOKiXAUZBU5y97E5LqnX4e5j2t2HIvDiCSlPRN/TccCuIUw9ToezG3onJqJ8Na3AOIol41sfeMrdU7m2XUnI9kDXdSpwcKLIr9Hac2ukoL0kUBKAZOV+oT+30TPPTKfgYeAbZraMZyRHNFHTrIyMdcljuSkoSM8NMRcVxXstvEdPD+CxwPpmtqhnUywuh+b4v6Qdj5Vrmt6sixjcvbv1kQ0t9rdCCYRORAN5cjux3f3McR2zIIF3YNbWgjY3QkLyVJQVch80EW2UtqXUX7XN92wE8l6YK7ZvReQVORlZcN8N17dDxjnOC+XvAAalHB+EQoqnIg7ctHPMhpJcXIi4Tkciz4c9gNlbeP3nhOtcKPxeINyPz5CQGvEATgV+36I+XALsl6PcMOCSxL59M7bvIAX8Q+HZ/ArYt4X38XzElzk1tPdgeHaz5rh2B96K7Yv4ysYA84R9u4d9/2hR/+cNfZkUrmFq/F4j5eObiGsvrf7cSFCZhhQLt4b/4+f4UjjvWS3o/5HISj+13pZR/3YkfM0a2xd5R3+AEhO9FM6R+h4hD4F3Qp1xSCG4f9jOCPumIYPPYi24B6eG9gc0Wf+/wEOx35cm7xfyHvs3cGXGOTZC3mX7t+I9bfWGxv5Lwvt7EjBn4vgh4T3/Zkrdpsex2LFlY+NINJb8LaXMNJQ8KFm/0HiOkilORcaAKHx6+nccnu/40MZKLXwOcyPO18/DdzcaJfJIbne3+51J6Xt/5P05FY2nT9FzLBwU9p2cUn8c8HTs99dD2RMT5W4C/pPYt0J43oc30N+6Y2aNbUq773fGNb2Dkh/VK/cs4oyuV25RZBxcE1g0R/ki8sDU8P/Roe6vY8eT79HvQxuHhGNRe/Gt3jOcFrXZSVvyWmuUu7hW/5GCbmQYS3K/yygKZSqwcmzf7EhRFr/P7wNLtPhe9Ik1ahPXXXgsQsrLKBFq2rv/BrBJjr6siNZnzyOqqk9Q4uoL4+9ISr3TQlsDw+8BVNaU1wG/QGP+VES3mKw/CRlSqt53esomI5DTRVofDM39L6eMDy+H96pfu593jXv4jdDXJxC/dtX4gIzqT4b7smGi7jrh25+EEgo+HsqdEe7/e+H3xaTMx+EcLyM5xGr00VD0y8uJ/buFvo5CeQySff8CWutNBbaucf4jkByXfH+nJX533FjeaVvbO9DdSnqQCgt9u87EUPOjQErTYxHlwdNh+1vYt0gvXMM6oe1P61xH6cI21UJjwxNsqPefMJAeCCzZy8//VRJKMcQtNBURzUeTw2eIRDztHAtQmRgjpe9lYRsT9kUT5QIp9denMoGnCd+vkZiUSrz+tYE7gS1i+w5Kef9fAxZsUR9KEdRr1PspCiVeukaZUcDROc51FDAq4xo+Q4q+tRro2zDk9TYNGBrbH+2bTEXYm4qysDZy7cugMW7NGmUKK18Rsf+0cP1zZT1XJGQ9XPL7s1/se3kauAEpH1O3jHO8Btyb2HduuOZvht8LoHCo0RnniAw5vyZloY4UO78KZX5b5j0I549C7ccAyzZRfxIKr4t+Xxiuf+5EuetQxtu0c2wU7sNUpBQ/EAnfuQx6sfOsQGWx9HHYnkdeFEPKvncl3f+yFA5FlMiFx3PgR1Tmnsgo8h6ap6P6R7TwPi4Yri9tPuwxP7b7uaf0/4jQt78RlH1p7wZa/PcwyCG5YSpS4K0MPBB+r5Uo9xLiu43v2wclmJqKvHFPQHPMPmlbrG9Nb+2+3xnP4BOUbLReuatQgpms4weEcScpyz6H+Iiz6hWRBy4N/8+F5rOpiI/3h1QUAYeEv1ORQmI2NAcnt+GhzieIn/xXYbsRjalT0bx4crufWcY9zDOeDkeJM9OOLY4Mk9OQEm9C+P8faDyLxrn7UB6LeN1HUULH+L59Q527EGfor8Pvs1t4HwqvUVPO2Q8Z5X+LZNp52v28a7wDhccipADfC829t4ftDyhvwJw5+nEEksWz5qTJwA8z6n41tPu12L5vh28yfo5HSchaoewERKUY/T4n9GOZRLkbgIk5rmUxpDNYB1i83c+4gXfh3Nj3+q/w93XkpBOtsX+eUu96YspREo4JSN74C1Lkp+prkEFuKjLqzJJyvB+iqZiKaPaSx2+g4gxyS/j/GSRLvxt+X1Pj2iMF9v9QFOR9oa0DkGE+ci5pqaNSX9na3oHuVsJDLMcys2P4qLKUbx+gTMGtuoYNUPhH1Oa7SCmZurWg/dEozDvXllL/4fAM4grgV9HkuhvKxJzV9lZIiM20niIhaxQKC047/iEx62bY90B4bv1j++4CxtVoZ5EwSGe9BzeS4rmBwh0/DuVeQuEbkdfe6ciiNy2U6TXFBfI0ORMpUY4E5mthW4UF9Tr1+iEFea0JspDyBS2UF2ry+geE73ix2L6FkVAxJfZdZwmIO6Dwp3US+08M9aPvKstrsrDyFXmZ/ZuYt3jGOW4gQ/lX4P2Jxu09Cpzjk+T7gZRI7yT23QaMzzjHS9S30vcLZV5utq91rqNpz0UkwI6M/Y4iK4Ykyt0MfJrRfjTexce+Rj1m9qfiaZC2WPqMDvTwbWAMGU4T41jBvjU0nqO59aGUe/8EsG2L+/qH0NazyDNoa+RFlbq1sB9zIKqJXchQgBKUoIl6jyKFy3yxfWlj4c0oaWeyftNe2A1+f7WMCL9AMsfPUaj4vGFbBSkQPiJlsdwpG/AYKYbWlHKjgLEZx4bH7uVU5Hk+PrHv0oy6J1BDdm3gOhZDFETTEu1G/z9CRjQHirp7G/gTKbIJUlz8KZT5So0+rIWUBDeiPAC55pMa5/s6MhLtRIoypNY3k1HuEZSsOe1YZFQ9NfxOKm82R/PkKBJGV6Q4uyOx70/h3g+O7XsJJR1sxXtcaI0K/B9y7Bma2B9FBEbv01OkKA+7m4P4qSMl7XBE37JU2DYL71Sk3P1WA+ddDBlXjwW2z/oWwvs9NvY7MiIcGds3NzJIvNTu+9XiZ3EwigRMyiVvA4dl1Hkj/n0mx4Cwbx4UtXFBxjkGxr61l9HafD8U6Xk6FQXqu6R44yPnjbPoqbSfFr7tXxLTN6TUH0nMiJsyjs2GInY/JKHY724p97PdHehuJTzEgpYZpHSJlI+j0cJzs7Dtj5SW0cC/QYuu4a7QxoWUIDC26TnMiyySv0EeB8nFx7/CALd1ot6fwoCVKXgg5dhHZHhjhMHz+tjv2ZBCPCm4XUk+6+YSiAP0mLDtRW3hOLLMnUFKCAtS+PwklPlzu59Vi55/YUE9R90RJMJNm+zD5cDklP2/RFxoZd+buVD4ZmZ4EwVpQChB+YoWCTfWu6fI4+mzku/RRJTssOg5RiTu++fEPB/C/iuyxoFwjqtztHV1nrGkiWso5LmIvJKeiv3eNZQ9PbZvYaRcSg1PprhBbx1kdJiCuMw2p7JY2jzsmxKezTrN3qtWbL0xjrXhmhZAyt91gC/3UptvIZlr3jZed9OULGEsvrXeu0ENmYImvbCRguHSvFtG2/uH7+tracdDmQ1DmQPa/Y5m9O/AME5kyt1Ifp8CHJxyLKIsmoCULPG5cfaw763wDuyWUn8gMH+Ofn6RHNRmKKHYb8L7cDtarG9PbWPh5When61GmdmoTYnza3oaBJLOCT3mE+QZ9gw9w5mj8O9ou4dq2qJLYts05KV+ScZ2ORU6mFsy+v8iijboF36nKW+WQkbB4xP7JyXvC1LgP5PYdz3wXove46Jr1HvCO2yxfVuEe/s6Cu+PPPx/0MpvckbdUCTD9GeQUeab4Z7e24L2205z10kbWhOvjgxAu6II1lrKz8IUFOH4uuGbSTOMTgvjTE2ZFI33OyCv92MQrU5dvQ0l0Jt1t8rWTWLWN1CUHPwkNJgc4u5pyZb+aGYHorDPE5EQVjbWRovpg1pw7l6Bu39ALImbmX2JiiJ8M7SYGYKS7MS/vTWQZS01cVg498dm9jhagKahaNbvZHvjaSARG/Iiet5DRtGU800DTggk7EMbOG9HIySoiGPDlH0R+qMwpNWRJbIZfIHqTLANw8z6oXcuLRHdD1BoTKlw90+RcrQWVkPfQbzcXohb97vufrmZLYkWVAcgQSWOJYG/ekailBg+Q8JjGtqZMfsTJFgVwb9REoEImyNO8eQ4MB9S7KRhIrWTJESYP5QtG2chD7mIauAlGrvXdwPHm9lAV6KQkehajwvJu/6NIk4GIP7NHvDiCaCOQlxiu7v7nxLHXkbJTEYg76MfIe/ItqHscczMpjbQvLt7S2VRd38XGX96E/MguqIPerldAMxsP+SBCvICfo4cc38MjhZ09fBlNKb2PIESm2UmZXL33yP+0+T+Yfm6WBOHIoPY32u0f5+Z/R0pki8uoc1S4e4XmdnywB1mdj6SyV4NhwchI/uhwLnunpaQ8ACkNNnUE5nHwzx5Ybj+sUhZfG2i/qtImV4vmczPkBdXfzM7DCkH70q5njvomciwHjZHdD+ZScjcfbKZ3Ye8YqtgZrsjmXs88jLbKZzzG4hXdk+0hjo7pW87INqleGLg9dD9+AjJ+usjeXsPRBsC1UlpPbSzdJ3rnACkys+IQuFvXkliNy30ZVYPiUjd/WUzG4OU9mfE6k6kkoAQMxuIvCb/mGhjMlKEtwJF16hLo3fKY/t2RPd2N3e/38zORM94D0Sp0EU1VgXuz3oGAO5+m5n9A8niZeP60IfV0Lv8rpn9CIX1HxXKGHqGJ5rZPmHfje7+Uex3LnhKkt9OQviWHwtbHryP1vQR/hf+Lo4MPNNPjRwUstp90MyWAXZG6/bFwqE3EG3Z9fXWUO7+Pj3XX3kwL/BK7PdkUGLGSP/h7p+Hd7D0hJJ9DV0Fbt/AglQv0KcAmNmc7j4RIAyA96KQwiTWAR7PUN4S6l9kZgch600rYMhDtc/A3ScE4XgO5Am3EOnKoUWJCYg1MJ7sibVo1u+imJN8E9FjyEu5r2BY7P8yBPVMmNn6wNeQAii+f1Si6JYp+yL0D/1bBHl+p/VtSsr+3sACyAIfx8ZIeXc1gLu/EhZqX02pX4bytaGM2TnaagT3o++zCP4KHGJmvwv/n43ey2SW81XJVhb/CxhqZsu7+3NpBUK22aEoqU3Z2BoZpNZtUvl1DRpTv4JCuz8OyqyrkdAaYSyKCmgFNgQeSVHeToe7Xx8WMF9rUR8awbDY/2WMY6nZ0Uso2xTMbFG00AF5379Zq3xJeBYpcduFw9Cz3Nvdr26i/qvAKmbWL6Y4qoKZzYn4bZ9tvpup590W0XPcXuA0yxGM6XXwFnIgaDvqGD6OoqLoSOIIMzs8xRCyKlJ+PpNWCcDdnzGze0i/B0b+7zMq92uk9L0LwMxeQUqBY3KeJ4n5yPcdDUAKgiQOQDLNpkHJuQGAu9+JeLZ/b2YnobHshkTdFZDi8fPYvt3Qd7V7UHgtgKitvkNFgfud8NeQl+199FSYRpiMlCcP1lBSf4Y88CJE8svCoW6E99DcE8czyCC3oLu/gxTWjiKa4lgCha+3AkXXqAvSs78bAhPc/f5Qf6KZ3Y+oMjoKHWLQ/Bx5V9bD69SRQ81scWS4y5S33f3exO+HkeEkvu9CM3sUKePnR0bGS939f2Y2HL2nDyJjSfQ7LzpagdsExqOIiAhPofFlG8QZi5nNjb6LN3rUjiGsba4MWy6ENeUd7v6zOuWOQhE1m6YcfodqB6T3wt9BKGo5whzIy7eLGugqcPsGilpm+pFPAH8OJRNqBZ5Elu5eQbBCgxZzU2O/cyF4dqWd94uIr/brYVsydvhJ5B2W9EyYRLrgmcS8KMwhDWcA2yF+wDPRwH6Xu09XiAXvsyWRV1smzGwOFG5ab4KOT5DPI6VJPSxK9Ts5o6MUQT0sILIwAFgeeb7PEtqJY2jsf0ffUb1vaSwKfUniLmBzM+vv7k0pcoOHymbUfn/c3ZNePbMTWyya2WxoATom0ZcJKGw0iTKUr39GHqBno4QPafgpeiaZyrkmcSpwv5nt6+6X1S2djjOQMHwI8mIxRLsyfQFvZqshq/v1Gef4I/IoGmVmJ6BQpshSPivyij4dhTq1wmutkOeiuz+LFu3xfTeH8W8bKguFW9w918IqvIsLAJPc/b165UMbd+co9xKt8XZpFKUqHNy9X9p+MzOkWN8ave+/c/eTC/S7JszsYEQjsHRi/0vIa/H8VrUN/A64wMyWdfcXWthOFpZDHlfNKG9BkRjHIg/xczLKHI0WWnkUpY3gRjQXFVHgTiLft7Ua1cqxdqKIMSOt7lxUFsm18B4ywjeL+ajcw2lITokwCDkvNItXgE3MbLC7v5pWwMwGI7n7lZTDq6Cx6uWUYxFOR1zQxyNKhwgLIsNqHBsB77v7bSDv/uCosVJUID5/m9kpof1m53TQeBtfo7wU/q6HZJZobF0NUQPFcTnycvynmT2Gxt7Iezjq4xwoomJMgT7WQtE16jTEjwqAmc2LZOKkwv0D9C52GjrBoPkY+RwEhiD+8x4wsx3Q+rKecdfJqV9y938C/0w5dHk4zweJ3zM8zGwJ5JxSb410euz3aOBwM1vI3d9GThmfAmeGaN9/ozFsQZrzjq2HochQVQ/LoWtLwzgk/0V4HL3vu6Hobsxs4dBWHmPDzA3vAB6H7lZsoyA5OLKM3p+jnfvzlGvyGnZFVtlVe+meTQvtLRv7XZcnjoykNWhSe4QKl/A0JExeHK4tMzFUuK8fUIMrD1mtPkBeXVllms76HSvTFGceBbna+sKGJqefFXgf63F+TgF+m1J347ANDeVuIztZznrU4KpDi4R3UQKehpJBIAH9Jqr5lBrhLh0HPB37/fVQ9sREuZtI4QFGyoRpwK8T9/WS2O/fh74dknENDWXMLvn92YhKwq3rkDA2NOzvsdU4z5eQMHReOIclju+NFCS1vtWrYu/k58gr47Xwf/RsW8JRhcbROwrU/wIlZaMOr3n73AAAIABJREFU9++R2HXH36XtkVfv4JR6b6FFe73zPwC81Yr7WOCax9HkONZgOxH/aA/uzRLOPQvVyTinUEneFCVUnBq+g8wERCX04yyUrGR/ejlTNvJ2SeXMz1l/fqQ4mhre8x3CfbsFecldQiVZa6nZ31Eyl6b7Hs5xY+jf6ckxMBw3xJ05jQTveV/ZULROvYSUhpRoL4ffA2PbNGSoHJixLYkUgh8Q5m7Ec/hg7Py5OLVr9O8oKlyne1OdlLc/MiiOC8/6xyn1PyPG6Y4cGKYm31kUufGfxL7CnPJ1rm0ZZHBds065SxD9yRyxelFCuq2Q8jjKMH9Lom4/5L0YyV4fADsmyuwSjh3dovew6Br1KTSnRhzAe4b6hyXK3UFGctZO3MK3Nwj4HhqvT21hW5ugue/IGmWOoOKtnjz2LSpz5/tIyXtP1tbue9uJWxivLqA6KXOPtREpayQUIXEnsEVs30FUr8sjDtsFc/RlFmQsyRrbBybK5xrHycivEo6dFvo5MPweQCWvyXWI8mlc+H1mu59Xp28WbmIXMzDM7ByU5Xgxd387hPS8hgaLc6lYZlYHLnL3QxL1d0TeWDu7e9KiGZXZAVl6d3X3LM+totdxKuLzOgllES/KB1mrrXHImrepu78a+50L7j44cb5pof6TyPPmbndP8wZI68tRiEPsRpSBflLi+GxoAbU9SlBwVt5+NoIQZvyH8LMuZ567fyf+28x+iTzfanG1XezuPyq1430AwUsj6/2LPN7ucXET1zrPPch7sWaYS436J6HM4LujifUuNJakcZ26xyzEgYPsGBTedwX1358qjxQzuwwtxo5FgviFSGhZ16s9yV8CPnD3NRL150ILheWRYmwEyj4+mjC+ISX2k8DanuE9aGaRd+q66JkYlWdjSHDdzt1rhik1itgYEm8vC+4t5g01s0OR993gxKFXgF96i7wXzWwYEnJX9iY8F8N9fMTds/jC855nOFIYGHqnBwDD3X2/cHwFtLA8xt3PSdS9AUVE7Ozuqd4QZrYdekdHuPtORfo6o8LMHkLvcqnUTGb2Q/Ttv4GMGVd7tRf5HkixtxhS+vyyzPZDO20NmzWzW1Di0VUKnGMl5Kk3iJ5jUsRXuLWL67Y0mNlIpPAu0vcVETXVHEiReS3VMsluyJPsMzTHPFmkz50IE2/uQSjE9hhPRByY+PDPQuP8Be7+vdg8BPnmoqjcCe7+UzO7GUU6/AMpj4eFv/flOI97IjLHzPoj2XhrKrzMEQXKl5GC0pDh+tsp1/g6yq/xjfD7dOA4pDQdGyt3G7Cxu8c9PV9EBp4lw+9vh778X1zGMrO/AGu4+5d73Biz7ZFcfKq7x7l0TwROpuJxeY2775V2U8Ia7VpE2xB53F4EfJfqZzUZZXjv8S6HKMOFgefc/ePEsVWRZ9yD7l46jUIJa9SfAv+HEp3dHf5fCFja3V8LZQxFZz3v7huVfQ2thpltiJSfe7t7kou6jPNvhIxwUbKwq+m5RlsLJRm8MeUUZyN5/ETgHK+mFWk5zGxlYFrZc01vwsx+gsaeKWi8epEa+R3c/dQc51yTFAqKGuXXQYrUr1HtFZ/SfEUmCfPCdPk349z90Prqixlj4VeRU8zlHrjpw5h6NdURIGORk0pmXqAu6Cpw+wLMbG0UOnuOu/8t7DsIKdKmF0PC9hrIipzEEWhgH0G68m1HNLCf2wrFarsXO0UR+h8Ju28ixdddwCh3f6tO3blQeMsyyPp0FRqIQeEIe6Hn8BKweqsGNVOStJVogjOvweeXRMc9z7JhIo1fGWUH7REuFITrj71OeHagAJinVcaNhBIxC9OVjO4+PVTSxHW3EFoYPd9E28siwXJAtAvRgGyRKPMcWmwemnKO0pSvZrYlysq7JLJWj0chvTd5CyZOMxtNY0akXiH5D/d0eqKDshXXGW2ehRZ0J6LEdLl5u83sA+AvWYvhnOfYF2XIfRwtkscir4AqAdbMXkOea5sm6q+POPsceXZdhuZUR+/TPshI0g/4mrs/0GxfZ2SY2Z+Ardy9VK5YM3sKGR5W9ozQaTNbCi02XnX3IWW2H86fyhubBc+gnSjQ/hoouufApLGswfPMgSg2tqLnWHhRK+SRoGwYBRzk7llUHnnOszGSp75MugL6LWAvd7+n2TY6GUGueBzRb42jorSJxqHd0XfyPxT9Nj7hzDAQhemmJTyFinH5RuA8d3czG4KSGzZESxZQJVPErsOA76N1StKg+Cpam/zWU7iaTdyNi7v7suH3tiiK52IPSZNNnO6PAy+6+8qxuuehyJsLEKf8z5CcvpJX0xKNR3NjD0OUKVnlFihL+6dh34qIa34K4vgcgkL/Mw1+KeedJdyPnagob85091bw0hdCo2tUF1dvvP68aCyL5z44292PjZX5GqKAOMvdj2vJhbQYrTJohnMnZfu08TBtf7RvEjKErFl23/Ig9P/v7r5xO9ovA0FenB9FvzWU88fMVvAaXOY5z7EB0ktEitv3qZ3Y9NXY/0ORgSQ1LwaJ/CruvnsD/VqMJunNZmZ0Fbh9GFmWmYSFvapKxv74sZYo29q92CmKIGBsgrg/N0NegKB79hwV7tvR7t5jwAyC9k2I8zNtYn0c2MHdx2W0vwCwFPBKXPgJA+PZiAdsHHCyu6fyf5rZROCf7t5wUp1Gn18SnfY8m4HJS/279PS0OAE4hRqeFkEBPjzpfZLSxsXAd/J8g2EhtR5Sqj7t7reE/f1QGGIPD9Q6nsA9ELcQm9lnyEs4LQlFLoSFzQ+Rp8jDSOCfGDt+CKLrON4DB13GeXpV+dqJsCYSTXQCihrzzOxB4DN3H1qgD/chY9YKkcI6zQPBzG4NZZZMOcchyLuoh0ICjQVTgMPd/ffN9rMVsNp83Em4V/O0NdrW00i5kocDvpHzTkTG063rlBuJonCK8H92JIISdCtELfNnpFR7nZDBPolOGgtC33dByrO/IQVhViRIzb4HBfROKPpieiI7pOz5c3x+6Ysws3URDcLiZHtR7xKXWWJ163pdZbQ5F/LWG4jC92txalehnrEhyLTxhIQ1jXtmdixKVrmiuz9rZrMjZ4gvI4PueMSf+wXkWXtOrO6iyLliESrKr6vcfe9YmdXCeX7t7j9Maf9V4E133yC27yzgx0iWu9zMlkTJxgrJT42inmNBL7Sf23vQlDBxJ/QsHnH3MYnj26Fv/NJGlWOdglYZNMO5R1OMQ3Y1FBm7Zzk9agxm9h5wWxHDfLsR5JK73X2bJupORVzBw9EaMtPLtsY57kJj3cWImu6/dcrHZYV6jj0RxgLbt8rJqIsKugrcmRDWIF1AEp6gD+iiJ4Lg93WkzN2UivA8FSlJ10+pY8C2KFnVV0L515Hl/+Zaiicz+znir10tEl6CoPocEqKjgfcD5JXUIxTfzN5B3m5tmaBndBTxtMi7UAoK3P3SvFRiZaJFU9xSfZlXQr8PRFywW7h7nkRLuRC8UO53913LOmcXjcMaSDSR0xCwKNUeuDUjCoqiqDHPzPZH9BvruHtqMo4cffgAhZN+I9GvpAL3SmRYS4tqwRT2dzjiLZ5+D5Hy6DeduNCs44Ufn4N6eOE30MYCKInZIWhBs0WdKo2efwJShtT0AjGza4Gh7t5rCVR7C1aQksXM9kF8lMkkTsl21kW5BErL+p3DWyyOljgV9CUEWTCiEEqOQ9d7dtLPfdE78I8CbTelBC4LQR7aG/GqPxr2rYeMAvGEWbeisXxKov6XEAXCIsiofEVcFjezvVFo+s/T7pOZfRja3iW27wFgBWCBqL2gXFna3QcVvujq9pt2LOiid9Eqg2YZMLO7gbncfb02tT8K5XVpS/tlwMyeB55y9x2bqPsWFUPSZMRFPxyt2XPJzGEsGu85I45MESygMWIUorY7O6P4ZLQ+yFTcmtklwH3ufkmddochCoW2zBkzCrpCz0yIsgWEvgQT3+yOKFwg7q0xGrghS9BNIig5rgCuMGXIPRQR1c8BpHIzBqHwZprL6LwJ8r6NKwR2Q4rgUcBPkXL4MBSKdkzKOe4nX5bSLtKxGvBEpLwN2AtNuN9NeFocQHOZQuPZnnvAzBZEodsDUXjw39G7F8f1iKf528gzvCzcBnzTzPonF0EzIkKI4gLU9mDtKCuzmX0LeVv1Q8aaV6gdIlXrXAegBDJLJ/a/iBarf0itWBBFvfHd/Y9mtgpwp5mdTfDeyzt2B8xKDW6yGBZGSW2y+vIvlMBqRkIW71o/NJ8MRePLJch7rQdMdCpZGIC+q4iz8ZQm+1kLdwEbm9lsaZEGMH2u3wDNj30REYVHsxgetpoKXPR+74eSl5SFon3vIoYw9l0ZtkbqNU29EcMmKPS2LQhz9BmJfQ8EuXwjgvenx/hwE2UnIL7srPNfgWT9LMxOzBgWxp1VgTEJOWkCGo96wMxuQgmMRrn7szXaSsNe6Dqn8+IGx4LTqHYs2N3MRnhOCodWIijdQQqhqbHfudBpclk9xAyay1OuTF4mzgLuMLPN3f3ONrT/G2CEmW3p7ne0of0ycC3wPTMb4Ake6hxYHPgG4hT/FjLI7QRMCI4El3l9igVDDkW5EPdyN7MxKIJ4TI0q9TAs/K2pwEXj4L5IrugiA10P3D6GGVHp0Ckw8RZeDSxBT+8jR0T7e7p7zWQMYTLelIoHbuSxHHnCjPWSeYSCx9Hj7r5lbN+fkDJ6aXd/Nex7CfjEU5KDWEmceTMrGvW0QEJ1hHEozPWojNP3R/xfVwP/zrKgmtkvkCf22cBx7u4ZnoOPovF/9WauNaPthVEo4UgUGt6IwqxjYEomcTKwITBbjaIt8fwyJcc6HCnK4t5S9yCev6dr1H2AEhJNWHUCr4jXGxR2Gu273BOJDDsBVgKfupk9h76P5WL7qr6jMNe+jjKXl/YddTpCSPoFaH5bPS0ML4cX9WRkXDrJW8D/a2aDULjh3cD3vCen4vyIf3EzlPRnXNl9mNHRQFTIH1AoeMOe2F10FhocO5Nwd+9fVPlGZZHfbB+apnRJogyPsRDx+Ekks5nZ1xEtyMlenQT2JmA9d18k5Rxx2rsJaFy7G0Uv1KOQ6BgKh7wOMuF6pyF6ohcsm/YvDR3nkd+gQXPTelEPvYGM7/a76L35DfUpeUrVM4T+HIWSMl5CfVqdjtNzhEiIUchwcoA3kaQ3nGc+xF++L5L3Qd/Hoyh3QyrFgpndD0zyXsqfkdJ+XpliONK1zNorHZtB0VXg9hFYk5kFuxBMfKEPoQRvr6DEM+PC4UHIm3UplNBhnaQSxcy+QUVhuzKajCMl8EtUOHDv8USiKsvPX3tSlpeAmU1CoXB7xfaNBz5y9xVi+64HNnP3+VPOUQpn3sxqRAjP4BZ33zn8ng15QY5JKNavRELs7BTI9pzRhxcQ5+bSUZhfhgL3epQ8KTV0OChpNgGWRdxwaeHUG6MQzDgGooQ345GgkvX+lLrQKgtmtgUKpYzGyHepnSW2VDoZU/j/75AHaNo9n4wUUql8gmb2CQUTTZjZ7ijxz3+RInt4bGE1O1pgn4K8T/f0FmRMLoIcysMqpHn8mtm5KFJhX3e/MnbeuAL3UOA84Ax3PzFRfwn0/TzkGQn9TIlz1kFeVbmTtHUCwvjwKkoWd2DK8a/UqD4ZeLuVXvomHt8oWdwnyHstnph1CzTXX4Hm+zg6cmzqbTSw2LoDKZ46Luy3iwryyGVUZN6m4O79iirfkKd/GoVLvXNEMlShOTkumzbwDWRSW5nZZcgL9lgUgnwhUrqs6+6PxMq9BHzg7muknGMrKvk1ovVFdD9epKLQHZVU3DTqWOAtitBsxEHGKjR/m7r7q9Yg7V/ZcllRtNugmejLHMCa1MmPgKIvGs2VE6F0PUPMuNSW9suCmc0NPIAccl5D733WGmmzHOdbFq259kIOH46UtD1ovcxsVyTbr+nujzd9EU2igfH0EWCQuy/UOz2bMdGRL3gXjcEazyzYRU+chhZ0ZyJy76oB1cxODmWOQ6EuOyXq305F6JyAlFd3A3d5Ct9sAscS+GsJ2X6DouQ+Kvy1Q4ANzSyVvxZZIReM9XcgGsyTip7JZHsVjo5dw04p1xiHkxg/GvFcTNbtI3gLCcURNkLfZJIXbQD6PifSZLbnGn1YArg1Ut7WwBTgi2kHzGxH5GHXQ8kfLxa2oVQL49H7M5B0T5o4J2MnKklOR+/mz1FG5/d7q+FghLsw/PwT8jKIlEtLonCinYELzOwpT0k6g8L5UxWGDeAAKp4gVSFZQZF7oZn9HSUrOBCFhXUM0hSyTeAc5N1wSfCI/nPYP4eZfRU9h+OQgv+3KfUPQ8n4Vkg5FsdwZKQ7tk65joK7f2Zm/0SJAtOOv9bLXUriFCpj69zAdhnlIi9z6PyxqSbKCDs28d7GsXTKvghRVMhmwCMZZbpoMxp07kgzZv0Ceb1dgAwe48KhQUhpcDBwobtH0UOvo2/o88TvvBiesm8wMsZMRN6r8T5sDswJXBb2j2uwvTialU1nJcPRAdE3bIfWFmeiMeauhPJ2WTTHX5DaKffb0RojLcJv2bAdDEwzs7HuvnasemEKh6IIDjJ/o76DzB1mtk5SidwqpXIvopZCueUGzQhmdiRwEnLKqIdGv9tWYzyd1Z+GYaK4uxOt5w198z0S4AbkutbgxXtsMFqfg2TP1HHe3a8L8uydofzIRp2pzOzLiH6vlnOPe0jIHaIY4tgwZV+ESKZYHTmQdVEDfVGJMjPiVPTB5s0sOBUNDpGFvHDIaR/AxsDz7n582sGg0D0hKLeGphS5FSnR70565+ZAGfy1z6CBccHgxbsnesZJL9klgP9k9KNp3rlGPRf7KMYAe5nZ0cjT4nR0P5N8TSsiGoTpnhbBMnl9PctkDkxEPLn1MAhIC7FZBynkpiEhe0VgJcR/tTRaLM2LDANL0dMDd0bHSsCj7n50G9o+CglDu7v7nxLHXkZC1wjgOuBHKEt7Eo+SLRDmxaqI6yqTT8vdnzGze6iEb/UpuPu/zWx74AY03h6DvuVdw2bICLNTxny7BfB0lvdtaON5U9KSbzCDKXAD+hMzGnYYTmMGX+w1gXEEz0fgBRpTZEWKq+GJOhtQW6ljoc2fN9TTnLACdDJdFHfuCBEhhyFj3t8Th58AnjCzm4F7zOx5d7+4bOVbMEQ8ioxo33P3txPHF0R0KNsgz8Lv0Pvf/hBS5CmQgiU8hx+iqJWHkaIljs3Q/by1XkPu/i7KY3A9TL8/3w/bHEDSg7dRx4JWoKiDzAyNDjBoYmb7Ab8IP59FCa4zn7d3GD1WH1Dig9ZRqyAniwtQdG6hdXIwjgxDa/6IfiWVViKh6zkPOM8sTf8KpCc2PQJdQ5zaIJloNDKCR7kfhsXPidaR9RIsTwBSdTFdVNClUOgDsMYzC0aT5/KxEKfcKMnDqaMQQo9vcvc965S7Cvi2uw8ose0y+GsPRkLs68BjwNZoEB/o7h+GMnMgD88x7r51Wf0P534IWIs2eC52CoIXxSNIEIaKp8UWiTLPARe4+6Gx/YWzPYfz3IuUroPd/YOwLxn6vRgKuxvjCb6zQK2wA7Ctu480s0uBfaLQwLBYuhRZSFd39yxjwAyJ8C2Ocvc92tD2WyjZ1rp1yj0IfMXdF005tjkyGGzpTSaaMLPPgBH17oGZXQ1s7+5zNtPOjABTBvIjEbXMkoieZDzyhjoni/rAzN5DSvAd6pz/RkRl0qmK0FSEcewxxP+7VLv70wWUEXZs4p6L6uyLFphZc1IUFXKzuz/RZLczYQXpZLqYHha/KTmdO1LqP4rC+jetU24UMJ+3gAvczC5H17Ck105I+Aoac/dKK9NAe3HvsGHoG8jKe1HlMebu2xZpOy/MbBHkgRt54S5GxZjyz7gMUQaFQwn9fQd5mX61TrlngYVmtPlwRoCZPY4cFPZ296vb3Z+ZEUHGj+hlPihwni8ihe2+aOyJ5sf7kRH2Onf/KKVe07oeE03k7Ujpfx4yqq6HPP+XRvqKwYgf+XEPeXTC2pbQx0vQWJo1Z0cyxYNZY30XFfRFT8qZEY1mFuxX6/dMiueBHgqRFCyKlF9VCArUK9z9kyba/iI9Q+fXQx7Br8b2jUXCWhouAtZFYWYDgY+A/SPlbcC2yAreCq/JdnoudgSKeFp4eUnjrkaK/AvNbJ/kJGhm/dAEOzvpGanXB55y99TwFXd/x8z2QHySp6LJuy7MbBnE3faau/8z78W0AZECvB2Yn3wZiF9CdCtpeB6FbN5iZs0mmngDWNvMLIuKw2S2X4tKcrM+CVcG8sgDtxHMgYTRepiMQvw7BjVC5kHGqeUR9cCcdBh9xsyMMjwf3X1Y9H9YeN1XQlRIwyiJTqYLKeqedfeDmqy/HHBzjnJv0bpojM2RYjZzPHX3yWZ2H1JoFsWw+KnpAI8xE2/mUCpK2xWoKG2eB35PJcdGUjFUmMKhBMyJDH718BgKz+6ifCwH3D+jKm+thISCHYB5gNubUd6aOMy/iZS2WyOaQkMculcgJ50euok4Cup6DkPj4ebu/khw7lnP3S8O/TsRKXb3JxYFEF/bmtkpSDnbTZJeAroK3L6BJ4HUZERd5MYFwPlmtkGWF2RQzm2EQpWSOB84M3gL/N7dn2ug7cL8tSEkaVjgtVkYeM7dk6EZLwDbAw/G2oECnHmxnx+Sotie2eDuT6HFZdbx3yNhu1X4A7LM7gKsZWaRInZFMzsbCfLLIL7jNEFuQao9rqIEF3O6+0QAd/8oePomvXd3QFlqT40vqMPEfjJhwWFm1xT1kmkhTgUeMLMj3P3Xvdz2e9RfKIKoK97LODaOCpfnUWHLQhbf318R5+E5ZnaMu1dR7AQjwFm0dsHXVpjZ/J5INlmj7DopCqQ36BnKmobV0eK/kzCc2p6bkeLgVvS9dDzMbFFiWc/dvU8bHkrCYNpHg1QGnUwXDTp3pGAS2cbCOFYLZVuB+ZDiox4GIHqnoohCxzvJY+w9KnP1BJSIKKJse6NWxbIpHJpEIQeZLkrBJ8iY3xTMbDAy2j8Up4Qws1VQpESUbPtoF2dz2RgW/tZU4CLKn32psQ5rI54l31iWhjeAhdC49Bma+y5FxpjeCKVfC3n3p/LdByPa95CS+WTk9Z8sMyjr5DOQk0/HoKvA7Rs4F7jKzFb1JjILmtljiIO1T/EONQJ3v8jMlkck+ucjASmetXpP4FDgXHdPU1rcCHwL+AHw/cAP+TsUXlgvbKEM/troOl4nY5IO70b8/RhHcc68CO30XOwiwN2nmNk3UcjkLlSMDWuGDeAmYN+MSf99qgnwI163xakWrB0tBuLYCxk4nox2mNmKSMkzBRkOhgC7m9kIdx/R2NW1Hu7+tInP+Roz2wmFHGZlicXdLy+x+fuB7cxsh6x7Y2bbAesAWfeujMQTZyEO7iOB7QNVwqvhvEsCuyPlzv9C2b6IW8xsM1fStkyY2WoorCyZ8O8eYH8zG+buwzPq7ouU8ZeW0N8ycTnZ71CksLi7KN1LbyBExhxJwjASwoXPdffz29KxDkTSoIvegbmD919dZHjzN4sNgUdSlLfx9q43sx+h5FxdpKOoc8e9wLZmdjpwUlJmCJEYpyKv/Dyeus3gFWATMxuciEiL92Mwoll4Je14I+hQj7FZ0ff4JPJyu8vdx+Wt3AGOBUUdZLoojvsptkb7EXAISl4FgJl9ASXlihyQhgA3Bl1EI05MZaJWQsF243coamRZV/KxRrAw8BCSF69NRNf2BualenydDIoOiCKP3f1zM/sHyuvTA6a8EgcwYzv5dA7cvbv1gQ0JUW+jAXZgg3U/Ba5p9zX08v2aWmCbknHOLyMi/jfRBDIV8SWeACxSoy8Hh/LjkGJmElKOfCFWZg7kDTOyznXNgTwjDwdORBlHk9uJoew4pJgZnPida0u0OwR54R7R7mfbCRviylwY0Vmkbr3Qh68ir4vzkHB+HLBanTqPAGNjv/cN7+aRsX1zI0PCS4m6rwL/SOw7K3wH+4TfSyLr8e3tfkY17sGPw7tcdywoud31kaL7c6RE2yzcr8Hh/8uQ0DQFhS618h6sS4V6IXnd04DXgHXa/axaeP1RUsFaZYagObfHfIAUGp+F53UG4m+Mjg0O+yaFbUi7r7evbWH8vSH2vk5Bc/H48H/0Xt8IzNLu/nbCFrtPy8Z+F5KJCvRlEnBljnJXApPafe86dUMJF6cAqzZZf0XkuTcVGflPQx6q30FrjufDsU+AlVp0DUeFd/F1RN3SP3asPzIcjwv9+HG773mL7sEvkfNF/Jt7CdGM7Aws0O4+5ryGj4CzkafdPGGLkuR+CPyi3f3sqxuKCJqEnDeaqf8vRK8W33do+DavRrLqEeH3+S3o/zTgkhzlHkF8y22/5xn9OwvpCPYHFm+g3nJt7vcbxPQPiI5lalJ+RYa8TzPOMQLpMeaK7VsxPNvJyGD4bjjvDu1+Vp2+dZOY9QFYdWbBenDvmVnwWaSM+Va5PetcNErmnYTX4JIxs/6I0PtQ5B3iSClzI5rY/p4o3w+FhUTcgx8B+7n7DbEyuyC+wf9z959ltLsjsnQnvcGqiqn7SkpVJsxsXeAaNND3pudixyBw952GnvvsNYr2+A5Lav8L4dw9COxz1j8HKf8Xc/e3zWwBpKzrjzz9/43e09WBi9z9kFjdD4E73H2X2L4HkIf3Au4e0THchZLzDWqmj62EmR1ExRPlCepkifWSM/Wa2SHoPqd9n4YW44e7PGZaCjObHS0ON6Y6A/wYpNxsVchs2xG8jncFfuPuR6YcXxbdh0VQIqUezyNwyf6ByrOcEv5G3/004ADP8NDtFAT6genP393famd/8sDMfogSar6BDJlXewhxNrNZgT2A09F1/djdf9muvnYKrIQkaCX2JW9CxweAQZ6S0LELwcxORbLoSWgB3pCntJltjCLSvkzP98EQ/+1e7n5PCd1Na78/kp23Du1Po8K9/mWgX+hRvprKAAAgAElEQVTHbSjBcCProXptp9HjZJU91Fvs0W9KIrtZ2DZFSjPQPfkX4tC/y93/2sp+1EODa9IkWiIbz+wws42Qc8/RwJ+pnx+hKgLUzN5G9AnbxPbdjL7LxTwkNDazJ4F+njOpep0+d3xCwUZQVFfTTgTP2nndfcXwe1e03j/D3U8M+xZGkZpvekrCQjN7NRzbILbvLOQ08x13v9zMlkRRyfd4Isl2Fwm0W4Pc3YpvaADOvaXU/wnwAbBgu6+lr23IunR+uL+R5fwJ4EBgzkTZgSjMfUDKeVZF5P6pnrworPpzgucKFWv9GYgr573w+2Lg5BZda1s8FztlQ9xLE2Pf2rvk9GAusQ/TkJDVbP21UUjUFrF9ByWeX+SBuWCi7iRiXouIr3kiUurGy10JTGz388q4/mfCdWzZxj6sjDj3XkTREZ+G//8ArNzuezQzbOHdHR3e9yMSxwYjT85pwI/qnGdNRFnycWxc+DjsW6vd11mn7wdQ8bCLb88B3213/+r0/SnkFbhUjTJLhW/r6Xb3t7v1eDaR93SmFw7ic58G/Lnd/e3ULY8sFtsyvahRZNdeQX68PWx/ICQz7IXrMERP9jI91zQvI6Nzvxa0Own4YZ0yX0AKsV6Xa4GvIGqEq8JYlvocw3z2YxSC/X4z70CD/WpoTZrcevs+zgwblYiKPJEVae/QZBJRESgS77HEvuuA/7XgPZqa9q6kbG/SomiAkq9nhvoOkGPSVEL0KOIcj7xlrwN+QSUS4syMc3wI/Cmx7wGkH4lHVtwFjGv3NXf61vXA7QIzmxMtVvsDh3o3o2+pCNxyRyMviAiOBr8T3f3C1IqNtXE9sAOwrbuPDBki9/HgaRss95ci6+TqHqylZaHdnoudgOBZuila5Jzo7v9tQx8+AP7iJfMHmdmayKt8fqTAudTd/5coMw74xIPl3cy+DvwNGQxOj5W7CVEALFJmH8uAmX2KaCA2b3dfiiB4TX0fWA8lPrjS3fcPxzZHHFW/cfdOS6DVMTCzeRFv3HLAru5+g5ktjsK8BgGnuPtpOc/VD/HEOfCu1+dFbyvMbDhSzhjqc9zjLdp3eaeO42Y2ERjl7lvXKTcSeZzO2Ts96yIPzGx99J058vK5jGoe7n0QF3c/4Gvu/kCbutrRaDTSzItlKe8VmNliVCck/HcL2/oEKa9HotDz9xPH10SRcUsCL7r7cq3qS0rfFkWeuF8Pf6ePzR6LsDOzORAn+9pUElBmYkZ4B7poHGY2msYiKqp4TM3sXeAJd980/F4OJeU6392/Hyt3DbC1u3+hhD7vG/1L5yQUnClhZhEl3+UeoojN7NuIPiMuP40FNvLAi5s4xyTgFnffOfyeDSlvx7j7lrFyVwI7duWy2ugY9+wu2oqRyGqyFnC/mf0HedhNTCnr7r5Zb3ZuRoWZbYmUtluhhcanyPvwTuTN8C1E7D+Xu/8qVq+ZjNnrI36ikWkH3f0dM9sDLYJORby7ZeJw5AH8bXe/o+RzzyhYG3jW3Q9qYx+epfLulAZXVtB6mUHHAHuZ2dGIQuN0JDAm34cVERVDJ+JtZFiZYRESr5xI9WIt/v//gGOQsPu7GueZDSnthxIbj5Cx7wbvwxQKAO7+QUgI+ABwRUjY8xOkvP1ZLeVtMNp97O7vhXNNA3oYdMzsi8A8Xm4CqEIws92Rguy/KLHE8OhZB1qNYcApwD5m9ld3v7ZNXa2FD5C3Rz18FMp20UFw9/vN7AeITmbPsMUR0cn8oKu8zUZfVMa5+xtoHuoNrAVcD2wDjDWz3aP3zcyORDyQsyElRkvlvkCPNZSKwnb56FD4+zSiULg7UfWHKELvdiSnn4CMc3Og5I57oUSPv/AQCt1F34O7Dy14iieA9c1sKXd/GUXoOJIH4xiMaFUKwzszoeBMCXd/Fj3z+L6bA53YNlSce27xbBqbtxClXoSNENVgMrHhAPLJbzM32u0C3N3av9GYW3+fDH8v8V5+ESVdeJFKyMfLKIPnfImya6DF40vh98Gkh6w+jzyja7U7iVhoAvICnUpPmoYRiFuu7Ov+FLiz3fe/zc/+I9qcDBAR408B1mhD28tSTRUyDfhbSpmWJDko6Rp+g5TLs7W7L032/1tUKC52RN63PZI/ABOokUgOGYTGkR62NjWcf8N2X28v3dPVwrcd3Yvf5qgzFfhjjnIXU3ICqBKudxRKwLZCjTIrhDlnVLv7m9G/KxHNReZ3jBQv4xE/btv7PDNviDamR0IXunQy3a3NG/Iuu5RKop0TUKKeiA5nv17owwOh7fh8/Fr4NvagdpLkx4glRQ7XMjVRZstw7t3afb+7W2duwG7hvfsgvFNTkUJujliZeYLsMKKX+7ZMkHfXbPd96m41n9Nl4b05OsztD4TfayXKvQQ82u7+dvrW9cDtAhRO20UBmNnayNt2Z2TZNsTj8lvgVg+jUhzu/qiZ3QbsZGY3IE43Q5NkZMFcFE1Ovw2hzzt5unXrfaqTZkXh7YujBc/0ZoGFm7rI2pjhPRdLwJPAl9rZAXf/o5mtAtxpZmej5B+veRPekmY2C7AAep+z2ns99v8LZrYB8vhYGHgYOCdRZTNkyb+10f70Ek4CNgcuD0lJ3mtVQyFBgwPHuft/Egkb6sE9UCIkcBgVDt9nQztp9R9H3jdp/RqCqC/mAl5BIczjwuFBSJBfCrgjJHl5uoF+z3Bw97FmthPwF+Ayd/9BjmpGjnDVWNlOwqrAaHd/JquAuz9jZlFYbifiBBQxcIWZfc/d34kfNLP5ETf9HMBxbehfF9UYCwxHBshobLzP3S+J9nUxcyNQAWyCjMBfIH3cdI/RNZUBd58IfCeMd+ejCDYQz/ZutcbJErEOymNxD1pX3O3uL+Wsuwxwv7tHHm0iFTabJVpLuPsdZvYIol3qxIiKLhpEiAICRXFOjf3OBU9EBbn7tWa2POJSXhXJhPu4+2exYrtQyR9QKsxse+QBeqrHaB7N7EQUKWTh9zVeMoVcFz3m5FrlhiEKhf1SDp+B9Bxnhs1Q0sVHYvWXRZQ0F5TU9T6LrgK3C9x9TLv70AfwYPj7CRp4zosUKHXwCcpSvj31M2Zvi0Kg0jJmj0dJ0CI8hQbHbYBfhXPNDWxIa8LPbgZ2MLPZfOblHzoXuMrMVnX3x9vRgUSW05+GLUuJ556S5dTM1kGE9V+j2ijQoz6JOcTdn0JJNdIruP+eCldyJ+KXiIZiZ2BLM/sn8shN4xLMUqLmxTB0D89GySCGNVDXSVdsrIHCzOqNPW+jpHtpOA0pb89EXM5V125mJ4cyx6HF7E4N9Lsj0UB24P3MLPl+p35HOTEfUrh3EuZCyoJ6eI9q7rNOwj7ISLQP8E0zuxPRB4GMEFug67wCUUHE65auBOqiLpIGj2HhbyNGrS76KMxsRyRXz1+rGJoXW/XtLoKUU9F7+gmKzOgNrAE8nuYIkgP9qHauiKjx5kvsfxmoyRnexQyFcUhuXQF4IfzO+/70kO0B3P0UM/sp8uZ+p2c17kQRSy830d962BuF3D8Z7TCzFZEMOgWtwYcAu5vZCHcf0YI+zMwYFv7Wm5M3APYlZR3YR5x8OgZdBW4XmNlGwAR3f6FOuWWARd393t7p2QyFl4HzUHKn3Nwt7v5dM1sX8QYNdXELxY9/DlxmZvehiWt/0hW4o4HDzWwhd38bDX6fAmea2ZeQEmoflEinFRNbr3kudirc/TozWwF5v54EjExasXsBjXjz9SgbJte7qChu32fm4iIahoRXQ14+m9Yom6VEzYsoAdRbid9FMCdSztZDrYXwxsDz7n582sGg0D0hLKqHNtzDzkQRL9jI8yPp4TKghtdLf+CrSJH4akaZduENYG0zsyyFQeADXotKcrNOwylUFqtzI6+PNESJ2qDy3bdSCdRFOj5C0UZddFGFYFC+FimjrkEc+isBZ6Eoks2BeRGdQOnc+sFb/3KUy+ITFP67OzJwjzWz/d395rLbTeC1vMrbEBUTT0T9JkpwFiG6Rysjj94Ig2ggyVUXHY/X0fP8PPG7EIKDTpryNvLabdWaZzWURO3T2L690DV9190vN7MlgWeQp25XgdsezEq6wwvQJ5x8OgZdBW4XIOXfpdRXRhyNPrxZ6pSb6eDuyxSovhTiEsy0Wrr7yyGEK0uhdD0Ka1kN8Y6+a2Y/QiFfR4Uyhjx1W5GooDc9FzsSCS++84DzMjxfoZjXXia8eNKSU5Hy9mLkfdkj8VIfRxlK1FzwRDKG5O8m8RaV5Ca1sALi0EvDnIjjrB4eA76ds18djRK+G+jp4bJj2GrBgKtKaLtM/BUl5DnHzI5JUvaYWT+kPOnkMLfT6CojZiQ8BWxqZqch/juApc1snzyV3f3ylvWsi3bjKORFup27jzSzS4GVIgOjmS2I1i/fBFYvs2Ez2xAlKFsc+Bews7u/aGYXIVnpWGCEmZ0HHBUcLlqBW8xss3pUWGa2GkpWFjfQPgWsG/t9L5p3TjGzf7r7RyFx5XqIk7KLPgB3H1TrdxEEmq31UI6Fp939lrC/H9C/RVGYCwCPJPZtjHiorwZw91eCs9NXW9B+F/kwhAqFYxcthDUXkdFFX4KZTUOZpjOtIqHcxYiwv6vArYOQwX0BYFI9b1QzmwDc4+671yl3LfLSzc2zamZrIiVClCHyUncvfXAN71DkwVQP3hffoXAPcqMkpVGpMLMPgfHuPqTdfemicZjZH5EX8Vbu/rewr2p8N7NdkSfTue5+ZMo5HgP+5+61vI8xs1HAF919tXKvYsaEmY2jojQciCIgUj1VUEKaN/j/9u497tK53v/46zPjfJocNw1jSFKIQamMnCIUyohC45CUw85uK9lsMkrS9FPYyeHn1CNUDjkWklPkOCFiqDAOGzk3DqUx7/3H51pmzZq17uO11rXu+34/H495mLWu772uz8zc1n2tz/X5fj7Zo/p/Brg1ti2KquF7yKq2x8gPR4+Sf7ZVyeqzVciL9HUlPVFNpDZcRMQO5E3o2nVBrRK6T4bj9YSliHgKeF7SOsXjs8jem6Pr1ixOvkddKOnLJZ77X+T35GnAQY0J1IjYgrwBtyxwt6QNyjp3w3lmAxdJ+kwPa9Yki3GWrC8OiIh9yRttm0u6oXjuFjIBN4usfn9HsXwnSb9sx5/Bhr7i2uBsMnFac07dteW+ZPXkVpJ+W/K5/wlcVvt/oPiM/Qpwo6St69b9FJgkqVvbOw0ZDXM59iRvrt7cYnltV9l65O7T7dsbnbkC1/pjOeb0T7ImioqRfyerYUeRUxdrP9w+TVaoHi6pftvstcAmPfWPLX5YbUROCO8zSXeRw1zarWOVi92qGxOyAxBkpYl1WFHBfXZv1enFjbS9WlRwTwV2Ay6IiK8DF9V93SJkv9oTyeTiiS1OcQpwckRsJOmWFjFsRPYjO7DnP9XIUV/hUnzgvqC3m6LdSNLjEbEt8AsyUds45Ku2k2NnJ2+tDJIujRwE+yny5seeZFuqpu8/NqIsw9zfB7MAImJh5YAxiirSm8g2B2V6HdhX0s+bHZT028ihsefS3mHQPwN2iYgftLjpujr5OWJp4ICGw+cBf2LOIFLImRtnkH9fS5Ktso5x8tZaKSrdbyLfn+8DfkcO7q53AfAjcmdWqQlccnfZ++oef5TcLdj4M2IxRlbbt3bas+73IlvWNB1+XOcZoGn7NSuXE7gjVNH3tt7yTZ6rqe/X15fBXCNSRJzNnJ56r5I/SOo9RE5wv5u5G3cP+YnZJW3/turdB/S5wttK1TjIp7e185A0vZgCezZZCXEyeeG1OzlYAPID8OcbbiLVv8ZpxbThqyLiZPLDaf0AqN3IC/cTJHXrFvqq7cWcreBDjqTbip73nyGrbcYWh54CbiST0902fG0e0bfJ9Ug6upNx2byUgz/vgbcnWd88FG+AWOleYu5hqrUdZCsCf657XmSRSZnWl9Tj+7ikZyNiS9qbtNiT7GP7lYiYIemHtQMRsQqZLPs34OtFD8n6+F6lIclVtMbarripOwZ4Vg3DSs0a/BeZvD0OOEySImKuBK6klyLij+Sw7LLdCOweEYcAV5F96lX8vt5atKEX9ghVK8wKcnjZzeSNn2Zqu8pua1MLDWvgFgojVN2Wd+j7drUA9pN0atsCG6IiYg+yD9c9wD5kkrZWUbd33boZtecbXmJVcsjYa+Qkz1YTs/8qT8i2Nim2158LbFB8oB5RGrYM9abUXs79aGVzPvBpSQv1sGZt8sbQx8nEFeTuiWuBoyVNq1v71ryv0Gdt6eVsNlj9mVzvLfjdJSK+SW5Jv6zqWKxaEXEn2VdzQvG4dq19sKQfFM8tCjwCzJTUW4XYQOMYQw5uXJYcKvb7dpynl/P/HngPsIukiyJiRbIqcjxwlG9EWbtExMNkO5HVai2fml2zRsQFwMb9afXXx/OvTvbArRVGBXCtpK0a1kwHTpHUWB1sg1C0CPuFpEOqjsWSP3iNXDcxJ2m7CfA38o2vmbf79Um6vAOxDUVfJHtJbSfpKYAWA6zuAz4BfJO5q4H6MjF7MkNgQnbR7mF95q7amjZS7spFxPzkVvVNmfvv4AayR1u7Bl0MmqSfR8T7gN9ExJFkL6N2TZXtRnv2crzxplfHhvEVAyLeSw4y7LHCQNJ95JbLILdVjib7CDZL1va16rdpWIP42mErIpYmh1M+Ur+jIiLGkhUs65BbWo+UdHclQQ5jVU+ut8GRNKXqGKxr3AAcFBHLSnoOuIJsbXBsRCxP/v87mWy1UPrk+SJx+gNy50ntM/M5ZDKViNiHHJq4o6Tbyj5/jaRXitY2t5K79QL4Npm8/Z6Tt9ZmKwFX9KFf/yyyLUepJD1ctO76T7LS/g7m3skKsAVwL/keYSXqaQhesVvr/eSNrU60bDRcgWv0vfLLWouIV8itAx+ve67Z3cmfAjsDxwz0XN364aZIXB5F9uBavOHwq8BJwJRuTmAOVkSsT/aBWpl5k1sikzafkfSHDofWJ/2sxhx21ZdFdU8zo8h/023IKpwTgHsG2zqk4e+7P4N7jpf09cGc29onIr4PfBWYIOmPxXMLkjdJxzHnveEV4P3uJVuuogpoR2B7zZlc//bgo5gzuX49YD1Jz1YXrZm1UvRGPgaYWjeY80tke6C3l5F9uddvbEE2yHMvSm4bXocscrkL2Ja5h4IuT96gnyrp0LLO3UNME8gCnEXIP/ePJP17D+uP7ONLv0kO3Zzmm4rWKCJeJL83tqx7rtln3FuBVSX9WwVhWpsUM3y+SH6Gv73u+SOYuyDtfEm7VxDiiDOsPnzbgG1GNgi3gZufTFL2ZjngjW5Nwg5URIwm73p+jHwjf5rc0gbZHmIFsofSByJi2xaVgENasZ3tanLL7uNkK4L6v4PdyKFAV0fEurVK7S7Tn4rKYVd92YeE7FER8R2yB2wZE6cbq/B7+jv9F8VOCOCIEs5t7bMZWX1bPxDws+RNgOuA7wDbA18hB8F9o+MRDm8fAe6XdGWzg5Kej4hdyVZFU4DSJtebWXkk3UFWzNc/d2pETAMmkddb04GzJL3c5CUG42tk8vanwJclvV4krepjeSYiHiB3xrSdpLsjYifgcuCcnpK3haPoe4u82tb4P5KDUkdcGy1r6X5g/YgYI+mVZguKHUbrkP1qbXj5PDk47r7aExGxFnn9NAu4DVgT+FxEXCyp9N0QNjcncA1yuM3NwMM9LSoGS3zUlbpNPU5u02ypSHKuSU5XHm72JS+yHwYOknR1/cGI+DjwQzLB+0WyN+Fwcyj5YeJEcpjEXJXGRV+/qcBBxdreLrw7TtKoqmMYAv4b2JVsZfK5wbxQ/d93WTshiveZncntZO8khx+2OL22GMy5rKWxFAOZ6nyC/ID8xWKA3HUR8Ulga5zALVuVk+vNrM2Krbrt3q77GeB/yffsnoY2Pgx8qKyT9mMn1N4R0Xi90Lgz6mhy18eezJmxMYNsLzOevG5flGwLMYscQLUOcG1ErDfCWmhZa+eRVe+nRsTkxpZ4RYuvE8mBgz+tID5rrwnAvZJer3tud/Kadh9JP4mIVYEHyM/4TuC2mRO4BnP6PvY2wGcjMtnrBO68rgYOjIjdJbX64fUlshK1P4OShoraALYtmlWWSro6Ij5GVkrswfBM4G5NVtx+tVmfKEmzIuJgYDtyG17XJXCtd5JmR8QfKL/iZgrzJv36JSKWBK4ht4b3ViHt/kntsyS5HbXeh4GHiuRtzd1kot3KVeXkejMbHlYFru4leQvwD7LXfFnK7Et/BjCN7AX+FUkvzLU4rxlOIm8wbkDu8jmJ3JXwNXKXiNn/J3cR7kzupKztblkrIo4jZ7e8m+xZfV4lEVo7LU0Okau3Cbnz+DwASY9ExM3krA5rMydwrT/mJ+/a2rymkonJM4shUBcWzy8UEe8l7+QfBrxAXhy9rR89qiDvrnfjELP3Adf31BZA0lMRcT35pj8cjSUH/bVMjBXJvzuAT3cuLGuDJYpfpSmprcox5ADBJ4D/IW+Y/L2E17X+eYOsAgUgIsaR7w9nNKx7E1igg3GNFE+QVWc195OJjU+SA4lq/S0nkgkLM+tixXDcSeRw2BWLp2vDYS/qQ5J1IP5F6x0s9Vaiby3U+qTknVDfJhPMezabPyHppYjYi9wZ+G1JkyPia+Qg3q1KjMOGsKIAZVvgdDKJe2BxaAPmtBO7BNijD4PObOhZkLqbQ8X78brAjZJm1a17hiz2szZzAtf6Y03mVLJYHUlPFk2+LyK3w36DrO7ZpfgVZCJlJ0l/a/jyo2jd/7L+B2GtR1U3JnDnJycD9+b1Yu1w9AbZQqE3SxVru85IH2LWFxHxEWBjSm6FUtz42Qm4vNUQkYhYj0xC/ULS9CZLtierDzeU9EyZ8Vm/PABMjIhliqE6u5Hv3Tc1rFsJ8ACt8t1AhZPrzaw8xc/c88j3y8br5C+Q/1/vJunmkk/9EDAhIhZslSAuKljXAbpyMC2ZhL2hp+HBkv4VEb+n6DVc9Pq9l+wlbgZk2yHgsxExhWw9tCowmrxh+msPvxvWniYLtWo+SiZ1b2lYtxguGumIEffh21JENG7jn9jkuZr5yJL49YCmQ0EMJF1fJGG+SpMfbuSU2iebfGmryrtR5NCbTclqojOL1+pGM4CNI2KBxt5INcUdu42LtcPRH4FNI2KNFsk1IuI95L/nbZ0MrB9G9BCzXqrhFwPWIFtljKb8VigHkL2ke3rdvwFHktuZDmpyfBlyy6eTt9X6Cdkv7q6i3cYngJnApbUFEbEQ+TPVAz/KdwFZHTIBuEbSC0X7mpPJbcEwZ3K9BwKadamIWJNsC7QI2aLqfOCx4vB4cjjku4CrImJDSX8q8fQXAt8FjgP+o8Wa75DXBr8o8bxlegcZX28WLdbWPNeecGwoioglyKKNmZIeBB6sOibrqBuB3SPiEOAqspBMxe/rrUXeILc2C1e6j0wNk1R7m35e8wzwcUn39brSSlN80D+FHAC2XpMK3soVPZC+Dvwc2K9xGnBEjAF+RA59mirp0M5H2V4R8XlyEMQz5KCrn9aS2RExP9nw/VtkH+TJks6tKtb+ioggbyZ8grzh8CNJ36w2qvIV74u9vR/OBn7ch+nP/T33A8DrkjboZd1dwIKS1m5y7BHgbkmTyozN+qcY6HEmWeUJmbzdW9JFdWt2Bn4GHCrpe52PcuSJiA1o/+R6MytJRFxEtpw6FjhC0uyG46PIQV2HARdL2qnEcy9C9n1cA7iVrNb/PlnhfwHZGm0TcjL7B1sVL1SpuK4YB7yv1UCyosXPg8AMSe8rnrseeJekcc2+xkaW4tr4TkkbVh2LdV5ErE6+F9ZuBgVwraStGtZMB06RtH/noxxZnMAdoSJij9pvyQ+aNzNvf76aN8leU7d14wVKN4iIpSS92Me1G0q6vZ+vvxDwKLm9et+BxNhOEbE0OZBnLJmsuJyMV2Ql8nbA4uSduQl9/bsaaiLiXDJJLTLR93Tx+3eSFdUBnCdp98qCHKSImAhcD3xe0s+qjqdMEdFTUrr2Pni9pNIr4SPiFbJ6dude1l0AfEzSkk2OTSWHUo6T1JVtOkaS4oPxcsB0Sa82HFuXvClymyS3UTAzaxARzwPPSepxME5EPAgsK2mZntYN4PxjyWTth5hzc7f2wTnIAWGf6mn+Q5Ui4htk8vtRsrDgF5LeKo6NJpPQx5DVzIdJOi4i5iN3+9wmadtKAreuUlyfXj6UP7vY4ETEWsB/kte0d5DFWG/UHd+P3EV4uKRfVRPlyOEErhERj5E/1A+pOpahqpi8uEVvgxQiYgLwW0l96ZXa+LWXk8nPFXtdXIGIWI3sU1arIKy/yIW8e7erpFJ7h3abiNgfOBhYpeHQI8Dxkk7ufFTliojbye1UH6o6luEiIl4FruqtgigiLgS2lbRIk2OLkT2pZgD7dGO1vpmZWV9ExGvAJZJ262XducAOkvrSLmAgcWwNbMu8rdEu6eahTUUy9nLg4+Q1+VvMXVgwmrxGvxrYrhhWtQ45BPVUST+tJHDrKhFxG/APSZtWHYuZOYFrVopie8lFkj7Tw5o1ya1XSw5k+FNE/BrYTFJfpuJWpqjQ3ISsxoWsWryxDQMmulpRufH230G3VmgMRET8AthG0uJVxzJcRMSfgCWAlRu3idatGUUmZ1+X9J4WfcvfAXyKrISfBjxOVoM3kqQvlBK8mZlZyYoe4i9L2ryXddeR19YTOhPZ0FFcN3yl+DW+4fAM4CTghFplrlmjiPgCcCo5IHda1fGYjXRO4Nrbim36mwGrk4mEZn0gJelbHQ1sCIiI84BdgBMlfbXJ8dXJJuD/Bhwg6cf9fP3VySm3z0p6Vwkhmw1YkWxcUdKYqmMZLiLieHIw2X9LOrbFmkPJoSn/I+krDb3M+0uSRg/i660QEbVet7+UNLPucZ9I+kkbwjIzG9IiYl9y+OAmkhonntfWbEReXx8o6ZROxjfURL65WdEAABftSURBVMSKzCks+N92tIOy4SkiTiRneRwH/JLsmdzjrlMzaw8ncA2AiJhEDsrqaWt/4A/9TUXEAuSk3I2BgyX9sO7YKsBN5EXT1yX9v4av7enD/mLkAIXPk0n170o6vOTwBy0itiGHmH1L0vUt1mxO9uA6VtJvOhlfJ0TEgmSC/iVJM1usWRxYEnhmKPaTLnodTwH2I1uBbNXLlwwpLSpam3kTeJ6scP1VGRexxQer+8le0T8je5JPLw6/B9iHnLj9KvB+STPqepkPiKRzBvP1luqG371X0sN1j/vEP1PNzJorbm5+kUzknkv2c4WsJt0N2B84XdLBlQRoNsxFRH+qszWQXaZm1ndO4BoRsSE5xGw22ax/LWBt4LvAasCWwBhy2NmTkqZUFGpXi4gxwO/JZMsuki4qkjI3kReaR0k6usnX9fZhv1YJfQWwUzcm/oot9VsDK0h6rcWaxcjeW5f11s9sKIqIQ8hhEVtIuqHFmk2B35KJ/OM7F13fRMQjPRxeDFia/H58E9hc0u87EliH1FW0NvZvpsXzIod97Cnp6hLOvxVwIfl33fieEGTydmdJVw32XFaeiDib/Pc6VNKzdY/7RNJebQrNzGzI6mfiqJETSWYl6O9uL0mj2hWLmTmBa7w91XxHYHtJV0bEWcDkWlVQRCwDnAWsB6znidmtRcTKwK1kH8rJwLfJlhTfk3Roi685m9Yf9t8ke8j+ttX2sW4QEX8lt2Nt3Mu635FJ3tU6E1nnFIPsVpQ0vpd1M4DHJG3SkcD6oQ8XaW8CvwOOlHRrB0LqqKKidQPgAOBJMpk6g7y5NR6YBIwjK4GeJlvObA78A/iApD+VEMNK5BC8jwMrk+8Nj5NDRo6X9Phgz2FmZtbtBtkmaMQnkiLiyH4sd4s8M7MhwAlcIyKeAp6XtE7xeK4EbvHc4uS2pQslfbmaSIeGiJhAVt0uQlbN/UjSv1cbVXtFxOvkNN5de1l3HnmjoC2TgqsUEU8D90jappd1vya3wI/taV0VihsQrbwJPCdpVqfi6bSIWAu4DfgRcHjjn7WY6HwMcCDwIUn3RcR/A0cDZ0vau9Mxt1IMTfwwsCzwJ0mXFc+PAubrxkp+MzMzK0fdDr+mM03ql+IWeWZmQ4K3lhjAMkB9decsgIhYWNIbAMVglpuAHpNTBpLujoidgMuBcwaTvI2IdwPvJ5vF31VWjG3wT7LNRm/GAMN10u1SwIt9WPci2Yqg60iaUXUMFZsCPCXpG80OSppVDBL7VLF2R7LVzJeBTTsVZE8iYhxwNlBf4X0OcFnx+32AH0fEVpJ+2+HwhqXi73zAXFVtZmZt0Krl3Shyh8+m5K6iMwEPNDMzGwKcwDWAl4AF6x6/XPx3ReDPdc8LWK5TQXWzfvTl2jsiGqvy5urLFRE7kkmVKZJur3v+COCbFHfOI+J8SbsPLvK2eRCYGBFjJL3SbEFELAFMBB7uaGSd8zzZM7o3qzHn/zHrLhsDPQ7Yk6SIuAvYqng8KyLuowsSuEW7m5vID2T3ke0u9m9YdgFZYbwD2Y/ZBu8x+tHztoHwtZiZmZWst5klEbEQOcB6a7JNnpmZdTl/aDDIu671FUT3k0nDTwI/AIiIRcnk21Mdj647NduONNCv3R34KJlwyQW5lXsKWQ19G7Am8LmIuFjSxYM4d7tcDHwIODMidpX0z/qDEbEAeYd/MeCiCuLrhNuBHSLiA5LubLYgIj5A9li9sqORWV8tRrYc6M2ywKJ1j1+m2LkwGMVNjgOALYB3Agu1WCpJ72ry/H+R7+XHAYcVyeb9G77wpYj4I/l+buV4nIEncM3MzDpO0j8i4stki7xvA/tWHJKZmfXCCVwDuAE4KCKWlfQccAXwOnBsRCxPDvOZTLZa6MbkYceVPBhhAnCvpNfrntudTAjsI+knEbEq8ADwRbrz3+Bksor4U8ADEXEuML049h7yzzMe+AtwUhUBdsCp5J//kojYU9JclZwRsSU5DBCy4sG6z0PAJhGxjqR7my2IiHXIatv7654eC7wwmBMXw8t+B6xE7zeIWiULtyM/iB2mnhvcP0JWG1sJehtcaGZm1o2KJO5dwLZVx2JmZr1zAtcgt9SuSyYSr5H0QkQcTCblvlasCbJS94hqQhzWlgYaKzY3AV4FzgOQ9EhE3Ay8t8Ox9Ymk1yNiK+AS8nvp8IYlAdwD7CjptU7H1wmSro6IU4EvAVdFxJNkQhAyib0i+fdwuqRfVRSm9ezHZHL9uoj4PnA++b4nMrH6OfI9cXSxjohYmNx6eM0gz/0dsnr2D2QF7XTg7/18jZWAK3pJ3kJWCy/Z7wjNzMxsuJmPLNIxM7Mu5wSuIekOYMuG506NiGnAJHI403TgLEnu3Vm+BamruCvaDawL3Cipflv2M8BGHY6tzyQ9HhHrA9uT/bRWJhNfjwNXA5f2IbE0pEnaLyIeIhPYKxW/ap4HjpX0g0qCs15JOi0iNiCryb9d/JpdHK5V3QdwhqTTiserAL+kuNkyCFuR/49vJmnmAF/jDeAdfVg3HvdhNjMzG9EiYnVyR45b5JmZDQFO4FpLku4C7qo6jhHgaeB9dY8/SiZ1b2lYtxj9r8jrqCJBe2nxa0SS9MOIOInsdVufxJ7WkJC3LiRp34j4FfAV4MPMGfD4JnArcFJ9H2pJDwCfL+HUSwC/GkTyFrKtw/q9DBMcC6wD3DiI85iZmVkXi4jJPRxeDFiDvH5ZGPhZR4IyM7NBcQLXrHo3ArtHxCHAVcC3yKTfVQ3r1iL7EVuXk/QWOdTs9qpjsf6TdAnZy3g0c7YVvtDmBPxjwPyDfI3zyNY3p0bEZElv1h+MiFHAiWRS+qeDPJeZmZl1r7PpecBmbfffFeTgZDMz63IxzHc0m3W9YvvSneTdcMgLqmslbdWwZjpwiqT9530V6zYRsRqwLJn4e7jqeKx3EXE88LKkoys49+HAIcCqkgY0EC0i5gOuJ1utPApcCRxI7qS4nhyy925ycOUWw72liZmZ2UgVEWfTOoH7Jtk24beSGnf8mZlZl3IC16wLRMRawH8CywF3AFMlvVF3fD9gX+BwD8DqXkUC7TDgAOZUbp4jae/i+G7FsX0l3V9NlNZKRPwLuEzSpArOPR/wa7KVwl5Fa4aBvM7iwOnAzi2WXALsMchWDWZmZmZmZtZBTuCamZWgSMD9CtgCmAX8mextfHZdAnc88AgwRZK3q3WZiHgC+L2kXSo493VkC4WNyMFpjxe/ZjdZLklb9PJ67wW2AVYFRgNPAL+WdHeZcZuZmZmZmVn7OYFrZlaCiPgP4HjgWrLC8emImE1dArdY9zDwnKSNKgrVWoiIs4AtgfGdHjhXfK/0lSSNbvIaSxTHXF1rZmZmRMRCwGbA6uQun2iyTJK+1dHAzMys35zANTMrQURMA8YB75b0cvFcswTupcAESeOqidRaiYhxwN3AL4GDJL3WwXNv0p/1km5s8hqzgTslbVhaYGZmZjYkRcQk4BRgqZ6W0eLGsJmZdZf5qg7AzGyYeA9wQy1524OZ5HAz6z57kn1o9wK2j4hrgRnAG03Wllqt0iwhOwAzydYdZmZmNoJFxIbAz8hWTOcDawFrA98FViN3HI0BzgCerChMMzPrBydwzczKIZr3K230TuAfbY7FBuYo8t8xyCF0n22ypnZcQLdtN3wQWLHqIMzMzKxyXwNGAZ+SdGXRJmptSYcDRMQywFnAtsB61YVpZmZ95QSumVk5HgXWiYhRkpomciNiYeD9ZKLNus/RZGJ2qDodODUi1pc0repgzMzMrDIfAe6XdGWzg5Kej4hdyevXKcCXOxmcmZn1nxO4ZmbluAz4L+BgYGqLNYcASwKXdioo6ztJR1V17oi4rh/LJWmLJk+eERHrAL+JiOPIXr4zJP2zrDjNzMxsSFgGuKXu8SzIYgJJbwBImhkRNwHbVBCfmZn1kxO4ZmblOJ7snfrdiJgAXFg8v0xEbAN8BtgDeBw4uZoQrYtt2oc19e0b5hERb9U9/E7xi4hmA6eRJF8DmJmZDU8vAQvWPa7NaFiRufvlC1iuU0GZmdnA+cObmVkJJL0YEVuT1bWfBXYhL4o/UfwK4AlgO0kzKwvUehURCwGbAasDS5D/dvOQdHSJp92sxfOjgJXJ76FJwHHAVS3WNo2zhLVmZmY2tDwBjKt7fD/5s/+TwA8AImJRYCLwVMejMzOzfgtpKLf7MzPrLkXyby9yO9qqwGjyIvrXwGmSXqswPOtFREwCTgGW6mkZWcE6ujNRFSeN2J+s9N7IPW7NzMyslYiYChwEjJX0XEQsDcwgC7hOAJ4EJpMDzE6TtF9lwZqZWZ84gWtmZgZExIbAzcBs4AJgLWBt4LvAasCWwBjgTOBJSVMqiHE68GdJ23X63GZmZjY0RMQHgWOAqZKuKZ77EnO38artDltf0vOdj9LMzPrDCVwzMzMgIi4AdgS2l3RlRJwFTK5V2kbEMsBZZLXKepKerSjGzSUt3elzm5mZ2dAWERuQLZmWAqYDZ0l6ueevMjOzbuAErpmZGRARTwHPS1qneDxXArd4bnHgUeBCSV+uIMbfkZUyi/SwZgHyw9mm5LASyP52NwAXSfpnm8M0MzMzMzOzEnmImZlZSSJiNeAb5ECqdzL39N96kuT33+6zDHBL3eNZABGxsKQ3ACTNjIibyB7HHRURnwU+Atzbw5qPAOcBKzHvoLIvAMdGxG6Sbm5boGZmZmZmZlYqJxDMzEpQbEm7DliUeRNn8yxvf0Q2AC8xd9K9tqVwReDPdc8LWK7ME0fEmT0cXgxYA1izeHxii9dYE7gGWAR4BDgfeKw4PB74LPAu4KqI2FDSnwYduJmZmZmZmbWdE7hmZuX4Hplo+zlwHDlo6rVqQ7J+egIYV/f4fjLZ/kngBwARsSgwkWxJUKY9+7BmJnC0pLNbHD+aTN4eCxwhaXb9wYj4ZrHmMGAKsNNAgzUzMzMzM7POcQ9cM7MSRMRrwGOS1ux1sXWliJgKHASMlfRcRCwNzCBvdp4APAlMJoeYnSZpv0Gc6/3Ai5KeLB7v0cPyN8mE8Z21Vg4tXvN54DlJ7+3l3A8Cy0papv+Rm5mZmZmZWae5AtfMrBxv0ENvUhsSLgDWBSYA10h6ISIOBk4GvlasCbJS94hBnutu4GyyLy3AJsDNknpqpdCbhYE/9GHdH4AdBnEeMzMzMzMz6yAncM3MynEHsGrVQdjASboD2LLhuVMjYhowCVgKmA6cJenlJi/RH8HcvZD3LP47mATuQ8AKfVi3AnP39DUzMzMzM7Mu5gSumVk5jgGui4gdJV1cdTBWHkl3AXeV/LIz6VuytT9OAU6OiI0k3dJsQURsBHwUOLDkc5uZmZmZmVmbOIFrZlYCSbdExGeB0yPi08DVZM/U2S3W39TJ+Kzr3A9sHhFHA38pnlstIib35Ysl/aTJc6dFxBrAVRFxMnAu8GhxeDywG7A/cIKkUwYZv5mZmZmZmXWIh5iZmZUkInYBpgJje1kqSb6BNoJFxA5kz93RtaeAPv9AljS68bmIeGsQIfl70szMzMzMrEv5w5qZWQkiYhJZ8TgKeAF4DHi1ypise0m6NCI+CHwKGEf2wP0r0LT1QR9F70va8rVmZmZmZmbWRq7ANTMrQTHoal3gAOA0SU1bJ5g1ExGzgbMl7V11LGZmZmZmZtZdXIFrZlaONYBb3FvUBmgKcHfVQZiZmZmZmVn3cQLXzKwcr5BDy8z6TdKUqmMwMzMzMzOz7uQErplZOa4BNoqIkHvTWMUiYjSwNLBQqzWSHu9cRGZmZmZmZjZQ7oFrZlaCiBgLTCMHmX1D0qyKQ7IRKCImAt8EJgIL9LBUknwT18zMzMzMbAhwAtfMrAQRcSSwCjAZeAy4nmyp0GyYmSR9q3PR2UgQEVsBVzBnd80LwKut1ktapRNxmZmZmZmZ2eA4gWtmVoKImA0IiB6W1Y5L0uiOBGYjRkTcDnwA+D5wrKSXKg7JzMzMzMzMSuDtk2Zm5TiaTNCaVWVtYJqkQ6oOxMzMzMzMzMrjBK6ZWQkkHVV1DDbi/R34c9VBmJmZmZmZWblGVR2AmZmZleImYK2qgzAzMzMzM7NyOYFrZmY2PEwBxkfEf1QdiJmZmZmZmZXHQ8zMzEoUEQsBmwGrA0vQfKiZJH2ro4HZiBARHwLOB54CrgKeBGY3WyvpJx0MzczMzMzMzAbICVwzs5JExCTgFGCpnpaRCdzRnYnKRpKI+DpwBLBob2v9PWhmZmZmZjY0eIiZmVkJImJD4GdkteP5ZC/StYHvAqsBWwJjgDPIqkizUkXEl4Djiof3An8BXq0uIjMzMzMzMyuDK3DNzEoQERcAOwLbS7oyIs4CJteqHCNiGeAsYD1gPUnPVhetDUcR8QDwLmAHSVdVHY+ZmZmZmZmVw0PMzMzK8RHgfklXNjso6XlgV2BBctiUWdnGAzc5eWtmZmZmZja8OIFrZlaOZYCH6h7PAoiIhWtPSJoJ3ARs09nQbIR4Dnih6iDMzMzMzMysXE7gmpmV4yWyurbm5eK/KzasE7BcRyKykeZSYGJELFB1IGZmZmZmZlYeJ3DNzMrxBDCu7vH9QACfrD0REYsCE4GnOhuajRBHAjOBn0TEUlUHY2ZmZmZmZuWYr+oAzMyGiRuAgyJiWUnPAVcArwPHRsTywJPAZLLVwsWVRWnD2fHAg8BngK0j4i7y+252k7WS9IVOBmdmZmZmZmYDE5KqjsHMbMiLiA8CxwBTJV1TPPcl4OT6ZWSl7vrFUDOz0kTEbLJFR/RhuSSNbnNIZmZmZmZmVgIncM3M2igiNgAmAUsB04GzJL3c81eZ9V9E7NGf9ZLOaVcsZmZmZmZmVh4ncM3MzMzMzMzMzMy6lIeYmZmZmZmZmZmZmXUpDzEzMytZRIwGlgYWarVG0uOdi8hGmohYAFgfGFs89RQwTdKb1UVlZmZmZmZmA+EErplZSSJiQ+BoYGNgwR6WCr//WhtExPzAUcABwOINh1+NiJOAKZL+1enYzMzMzMzMbGDcA9fMrAQRsRFwLXMSty8Bf2+1XtIqnYjLRo6i8vtXwMeAAJ4GHikOrwqsQN48uBbYVtJbVcRpZmZmZmZm/eMKMDOzckwhk7enA0dI+lvF8djIsy+wJfAwcJCkq+sPRsTHgR+SCd4vAqd0PEIzMzMzMzPrN1fgmpmVICL+Djwhac2qY7GRKSJuBdYC1pD0VIs1Y4HpwP2SPtzJ+MzMzMzMzGxgRlUdgJnZMBHAH6sOwka09wHXt0reAhTHri/WmpmZmZmZ2RDgBK6ZWTnuA5avOggb0eYHXu/DuteLtWZmZmZmZjYEOIFrZlaOE4CNI2LdqgOxEWsG+T24QKsFxbGNi7VmZmZmZmY2BDiBa2ZWAkk/B44BfhMR+0XEuKpjshHnMmAF4JyIeEfjwYgYA5xJVopf2uHYzMzMzMzMbIA8xMzMrAQR8VY/lkvSfG0LxkakiFgauBsYC8wELgceBQSsCmwHLA48CUyQ9GJFoZqZmZmZmVk/OIFrZlaCiJjdn/WSvAPCShcRqwHnARsUT9V+yEfx3zuBXSX9tdOxmZmZmZmZ2cA4gWtmZjbMRMREYBOyGhfgKeBGSTdXF5WZmZmZmZkNhBO4ZmZmZmZmZmZmZl3KW3jNzMyGgYjYJiKui4jNelizebFmy07GZmZmZmZmZgPnBK6ZmdnwsBfZ+/aOHtbcAXwA2LMTAZmZmZmZmdngOYFrZmY2PKwP3CvptVYLJL0K3ANs2LGozMzMzMzMbFCcwDUzMxseVgCe6MO6J4Dl2xyLmZmZmZmZlcQJXDMzs+Hhn8CYPqwbA7zV5ljMzMzMzMysJE7gmpmZDQ8PAhMjomUSNyKWACYCD3csKjMzMzMzMxsUJ3DNzMyGh4uBxYEzI2LBxoMRsQBwJrAYcFGHYzMzMzMzM7MBCklVx2BmZmaDFBGLAH8A3g08BpwLTC8OvwfYHRgP/AVYr6dhZ2ZmZmZmZtY9nMA1MzMbJiJiHHAJsC7Q+AM+gHuAHSU91uHQzMzMzMzMbICcwDUzMxtGIiKA7YGtgZXJRO7jwNXApfIPfjMzMzMzsyHFCVwzMzMzMzMzMzOzLuUhZmZmZmZmZmZmZmZdyglcMzMzMzMzMzMzsy7lBK6ZmZmZmZmZmZlZl3IC18zMzMzMzMzMzKxL/R8xJLvNGSQrJQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1440x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,6))\n",
    "labels, values = zip(*d.most_common(75))\n",
    "\n",
    "indexes = np.arange(len(labels))\n",
    "width = 1\n",
    "\n",
    "#plt.bar(indexes, accuracies, width, label='Accuracy')\n",
    "plt.bar(indexes, values, width, label='Frequency')\n",
    "plt.xticks(indexes , labels, rotation=90)\n",
    "plt.title('Test token distribution - Corpus-Lg - mean_freq = {:.3f} / max_freq = {:.2f}'.format(mean_freq, np.max(values)))\n",
    "plt.legend()\n",
    "plt.tight_layout()\n",
    "plt.savefig('test-freq-epochs_top75.pdf')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "confusion = {}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(len(results_df)):\n",
    "    snippet = [results_df[str(_)][i] for _ in range(64)]\n",
    "    msk_idx = results_df.iloc[i]['masked_lm_positions']\n",
    "    masked_tk = snippet[msk_idx]\n",
    "    prediction = vocab_df.loc[results_df.iloc[i]['masked_lm_predictions']][0]\n",
    "    label = vocab_df.loc[results_df.iloc[i]['label_ids']][0]\n",
    "    if confusion.get(label, None) == None:\n",
    "        confusion[label] = []\n",
    "    if prediction != label:\n",
    "        confusion[label].append(prediction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "confusion_counter = {c: Counter(confusion[c]) for c in confusion}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "confusion_counter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for key, c in confusion_counter.items():\n",
    "    print(\"Label -- \", key)\n",
    "    print('Preds -- ',' '.join([\"{} ({})\".format(c0, c1) for c0,c1 in c.most_common(5)]))\n",
    "    print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "token_names = [\"Module\",\"Interactive\",\"Expression\",\"Suite\",\"FunctionDef\",\"AsyncFunctionDef\",\"ClassDef\",\"Return\",\"Delete\",\"Assign\",\"AugAssign\",\"For\",\"AsyncFor\",\"While\",\"If\",\"With\",\"AsyncWith\",\"Raise\",\"Try\",\"Assert\",\"Import\",\"ImportFrom\",\"Global\",\"Nonlocal\",\"Expr\",\"Pass\",\"Break\",\"Continue\",\"BoolOp\",\"BinOp\",\"UnaryOp\",\"Lambda\",\"IfExp\",\"Dict\",\"Set\",\"ListComp\",\"SetComp\",\"DictComp\",\"GeneratorExp\",\"Await\",\"Yield\",\"YieldFrom\",\"Compare\",\"Call\",\"Num\",\"Str\",\"FormattedValue\",\"JoinedStr\",\"Bytes\",\"NameConstant\",\"Ellipsis\",\"Constant\",\"Attribute\",\"Subscript\",\"Starred\",\"Name\",\"List\",\"Tuple\",\"Load\",\"Store\",\"Del\",\"AugLoad\",\"AugStore\",\"Param\",\"Slice\",\"ExtSlice\",\"Index\",\"And\",\"Or\",\"Add\",\"Sub\",\"Mult\",\"MatMult\",\"Div\",\"Mod\",\"Pow\",\"LShift\",\"RShift\",\"BitOr\",\"BitXor\",\"BitAnd\",\"FloorDiv\",\"Invert\",\"Not\",\"UAdd\",\"USub\",\"Eq\",\"NotEq\",\"Lt\",\"LtE\",\"Gt\",\"GtE\",\"Is\",\"IsNot\",\"In\",\"NotIn\",\"excepthandler\",\"ExceptHandler\",\"arguments\",\"arg\",\"keyword\",\"alias\",\"withitem\",\"comprehension\"]\n",
    "token_names = [t.lower() for t in token_names]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "def is_ast_token(t):\n",
    "    return t in token_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "mistaken = {}; tot_right = 0; tot_wrong = 0\n",
    "for i in range(len(results_df)):\n",
    "    snippet = [results_df[str(_)][i] for _ in range(64)]\n",
    "    msk_idx = results_df.iloc[i]['masked_lm_positions']\n",
    "    masked_tk = snippet[msk_idx]\n",
    "    prediction = vocab_df.loc[results_df.iloc[i]['masked_lm_predictions']][0]\n",
    "    label = vocab_df.loc[results_df.iloc[i]['label_ids']][0]\n",
    "    if mistaken.get(label, None) == None:\n",
    "        mistaken[label] = {'correct':0, 'wrong':0}\n",
    "    right = is_ast_token(prediction) == is_ast_token(label)\n",
    "    #if prediction != label:\n",
    "    if right:\n",
    "        mistaken[label]['correct'] += 1\n",
    "        tot_right += 1\n",
    "    else:\n",
    "        mistaken[label]['wrong'] += 1\n",
    "        tot_wrong += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.9932113341204251, 0.00678866587957497)"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tot_right / (tot_right + tot_wrong), tot_wrong / (tot_right + tot_wrong)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "MOD_SYMBOLS = [\"Module\", \"Interactive\", \"Expression\", \"Suite\"]\n",
    "STMT_SYMBOLS = [\"FunctionDef\", \"AsyncFunctionDef\", \"ClassDef\", \"Return\", \"Delete\", \\\n",
    "                \"Assign\", \"AugAssign\", \"For\", \"AsyncFor\", \"While\", \"If\", \"With\", \"AsyncWith\", \\\n",
    "                \"Raise\", \"Try\", \"Assert\", \"Import\", \"ImportFrom\", \"Global\", \"Nonlocal\", \\\n",
    "                \"Expr\", \"Pass\", \"Break\", \"Continue\"]\n",
    "EXPR_SYMBOLS = [\"BoolOp\", \"BinOp\", \"UnaryOp\", \"Lambda\", \"IfExp\", \"Dict\", \"Set\", \"ListComp\", \\\n",
    "                \"SetComp\", \"DictComp\", \"GeneratorExp\", \"Await\", \"Yield\", \"YieldFrom\", \\\n",
    "                \"Compare\", \"Call\", \"Num\", \"Str\", \"FormattedValue\", \"JoinedStr\", \"Bytes\", \\\n",
    "                \"NameConstant\", \"Ellipsis\", \"Constant\", \"Attribute\", \"Subscript\", \\\n",
    "                \"Starred\", \"Name\", \"List\", \"Tuple\"]\n",
    "EXPR_CONTENT_SYMBOLS = [\"Load\", \"Store\", \"Del\", \"AugLoad\", \"AugStore\", \"Param\"]\n",
    "SLICE_SYMBOLS = [\"Slice\", \"ExtSlice\", \"Index\"]\n",
    "BOOLOP_SYMBOLS = [\"And\", \"Or\"]\n",
    "OPERATOR_SYMBOLS = [\"Add\", \"Sub\", \"Mult\", \"MatMult\", \"Div\", \"Mod\", \"Pow\", \"LShift\", \"RShift\", \\\n",
    "                    \"BitOr\", \"BitXor\", \"BitAnd\", \"FloorDiv\"]\n",
    "UNARYOP_SYMBOLS = [\"Invert\", \"Not\", \"UAdd\", \"USub\"]\n",
    "CMPOP_SYMBOLS = [\"Eq\", \"NotEq\", \"Lt\", \"LtE\", \"Gt\", \"GtE\", \"Is\", \"IsNot\", \"In\", \"NotIn\"]\n",
    "COMPREHENSION_SYMBOLS = [\"comprehension\"]\n",
    "EXCEPT_SYMBOLS = [\"excepthandler\", \"ExceptHandler\"]\n",
    "ARG_SYMBOLS = [\"arguments\", \"arg\", \"keyword\"]\n",
    "IMPORT_SYMBOLS = [\"alias\", \"withitem\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "def to_lower(l):\n",
    "    return [l_.lower() for l_ in l]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "MOD_SYMBOLS = to_lower(MOD_SYMBOLS)\n",
    "STMT_SYMBOLS = to_lower(STMT_SYMBOLS)\n",
    "EXPR_SYMBOLS = to_lower(EXPR_SYMBOLS)\n",
    "EXPR_CONTENT_SYMBOLS = to_lower(EXPR_CONTENT_SYMBOLS)\n",
    "SLICE_SYMBOLS = to_lower(SLICE_SYMBOLS)\n",
    "BOOLOP_SYMBOLS = to_lower(BOOLOP_SYMBOLS)\n",
    "OPERATOR_SYMBOLS = to_lower(OPERATOR_SYMBOLS)\n",
    "UNARYOP_SYMBOLS = to_lower(UNARYOP_SYMBOLS)\n",
    "CMPOP_SYMBOLS = to_lower(CMPOP_SYMBOLS)\n",
    "COMPREHENSION_SYMBOLS = to_lower(COMPREHENSION_SYMBOLS)\n",
    "EXCEPT_SYMBOLS = to_lower(EXCEPT_SYMBOLS)\n",
    "ARG_SYMBOLS = to_lower(ARG_SYMBOLS)\n",
    "IMPORT_SYMBOLS = to_lower(IMPORT_SYMBOLS)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_token_class_id(t):\n",
    "    if t in MOD_SYMBOLS: return 0\n",
    "    if t in STMT_SYMBOLS: return 1\n",
    "    if t in EXPR_SYMBOLS: return 2\n",
    "    if t in EXPR_CONTENT_SYMBOLS: return 3\n",
    "    if t in SLICE_SYMBOLS: return 4\n",
    "    if t in BOOLOP_SYMBOLS: return 5\n",
    "    if t in OPERATOR_SYMBOLS: return 6\n",
    "    if t in UNARYOP_SYMBOLS: return 7\n",
    "    if t in CMPOP_SYMBOLS: return 8\n",
    "    if t in ARG_SYMBOLS: return 9\n",
    "    if t in EXCEPT_SYMBOLS: return 10\n",
    "    if t in COMPREHENSION_SYMBOLS: return 11\n",
    "    if t in IMPORT_SYMBOLS: return 12\n",
    "    else: return 13"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "def is_same_class(t0, t1):\n",
    "    return get_token_class_id(t0) == get_token_class_id(t1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "mistaken = {}; tot_right = 0; tot_wrong = 0\n",
    "for i in range(len(results_df)):\n",
    "    snippet = [results_df[str(_)][i] for _ in range(64)]\n",
    "    msk_idx = results_df.iloc[i]['masked_lm_positions']\n",
    "    masked_tk = snippet[msk_idx]\n",
    "    prediction = vocab_df.loc[results_df.iloc[i]['masked_lm_predictions']][0]\n",
    "    label = vocab_df.loc[results_df.iloc[i]['label_ids']][0]\n",
    "    if mistaken.get(label, None) == None:\n",
    "        mistaken[label] = {'correct':0, 'wrong':0}\n",
    "    right = is_same_class(prediction, label)\n",
    "    #if prediction != label:\n",
    "    if right:\n",
    "        mistaken[label]['correct'] += 1\n",
    "        tot_right += 1\n",
    "    else:\n",
    "        mistaken[label]['wrong'] += 1\n",
    "        tot_wrong += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.9867178276269185, 0.013282172373081463)"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tot_right / (tot_right + tot_wrong), tot_wrong / (tot_right + tot_wrong)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "classes = [\"MOD\", \"STMT\", \"EXPR\", \"EXPR_CONT\", \"SLICE\", \"BOOLOP\", \"OPERATOR\", \"UNARY\", \"CMPOP\", \"COMPR\", \"EXCEPT\", \"ARG\", \"IMPORT\", \"VAR\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "confusion_mat = np.zeros((14,14))\n",
    "class_freqs = {str(i):0 for i in range(14)};\n",
    "for i in range(len(results_df)):\n",
    "    snippet = [results_df[str(_)][i] for _ in range(64)]\n",
    "    msk_idx = results_df.iloc[i]['masked_lm_positions']\n",
    "    masked_tk = snippet[msk_idx]\n",
    "    prediction = vocab_df.loc[results_df.iloc[i]['masked_lm_predictions']][0]\n",
    "    label = vocab_df.loc[results_df.iloc[i]['label_ids']][0]\n",
    "    t0 = get_token_class_id(prediction)\n",
    "    t1 = get_token_class_id(label)\n",
    "    confusion_mat[t0][t1] += 1\n",
    "    class_freqs[str(t1)] += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 0.000e+00],\n",
       "       [0.000e+00, 2.280e+02, 3.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 0.000e+00, 0.000e+00, 1.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 1.000e+00],\n",
       "       [0.000e+00, 1.500e+01, 2.157e+03, 1.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 0.000e+00, 0.000e+00, 1.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 1.400e+01],\n",
       "       [0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 0.000e+00],\n",
       "       [0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 1.010e+02, 0.000e+00,\n",
       "        0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 0.000e+00],\n",
       "       [0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 8.000e+00,\n",
       "        0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 0.000e+00],\n",
       "       [0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        7.800e+01, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 0.000e+00],\n",
       "       [0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 1.700e+01, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 0.000e+00],\n",
       "       [0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 0.000e+00, 6.500e+01, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 2.000e+00],\n",
       "       [0.000e+00, 1.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 0.000e+00, 0.000e+00, 1.620e+02, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 0.000e+00],\n",
       "       [0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 1.000e+00, 0.000e+00,\n",
       "        0.000e+00, 0.000e+00],\n",
       "       [0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 1.800e+01,\n",
       "        0.000e+00, 0.000e+00],\n",
       "       [0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 0.000e+00],\n",
       "       [0.000e+00, 0.000e+00, 3.000e+00, 1.000e+00, 0.000e+00, 0.000e+00,\n",
       "        2.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 5.080e+02]])"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "confusion_mat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'0': 0.0,\n",
       " '1': 0.07201889020070838,\n",
       " '10': 0.00029515938606847696,\n",
       " '11': 0.005312868949232586,\n",
       " '12': 0.0,\n",
       " '13': 0.15495867768595042,\n",
       " '2': 0.6384297520661157,\n",
       " '3': 0.0005903187721369539,\n",
       " '4': 0.029811097992916175,\n",
       " '5': 0.0023612750885478157,\n",
       " '6': 0.023612750885478158,\n",
       " '7': 0.005017709563164109,\n",
       " '8': 0.019185360094451005,\n",
       " '9': 0.048406139315230225}"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "freqs = {k: v/len(results_df) for k,v in class_freqs.items()}\n",
    "freqs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.000e+00, 2.440e+02, 2.163e+03, 2.000e+00, 1.010e+02, 8.000e+00,\n",
       "       8.000e+01, 1.700e+01, 6.500e+01, 1.640e+02, 1.000e+00, 1.800e+01,\n",
       "       0.000e+00, 5.250e+02])"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sum(confusion_mat, axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.5/dist-packages/ipykernel_launcher.py:3: RuntimeWarning: invalid value encountered in true_divide\n",
      "  This is separate from the ipykernel package so we can avoid doing imports until\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x7f6cd342e8d0>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,15))\n",
    "n = np.sum(confusion_mat, axis=0)\n",
    "plt.imshow(confusion_mat / n)\n",
    "plt.xticks(range(14), classes, rotation=90)\n",
    "plt.yticks(range(14), classes)\n",
    "plt.colorbar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.5/dist-packages/ipykernel_launcher.py:2: RuntimeWarning: invalid value encountered in true_divide\n",
      "  \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MOD nan 0 0.0\n",
      "STMT 0.934 244 0.072\n",
      "EXPR 0.997 2163 0.638\n",
      "EXPR_CONT 0.0 2 0.001\n",
      "SLICE 1.0 101 0.03\n",
      "BOOLOP 1.0 8 0.002\n",
      "OPERATOR 0.975 80 0.024\n",
      "UNARY 1.0 17 0.005\n",
      "CMPOP 1.0 65 0.019\n",
      "COMPR 0.988 164 0.048\n",
      "EXCEPT 1.0 1 0.0\n",
      "ARG 1.0 18 0.005\n",
      "IMPORT nan 0 0.0\n",
      "VAR 0.968 525 0.155\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "n = np.sum(confusion_mat, axis=0)\n",
    "normed = confusion_mat / n\n",
    "for i in range(14):\n",
    "    plt.bar(classes[i], np.around(normed[i][i],3), color='b', alpha=0.5)\n",
    "    plt.bar(classes[i], np.around(freqs[str(i)],3), color='orange')\n",
    "    print(classes[i], np.around(normed[i][i],3), class_freqs[str(i)], np.around(freqs[str(i)],3))\n",
    "plt.xticks(range(14), [str(class_freqs[str(i)])+\" - \"+c + \" (\" + str(np.around(normed[i][i],3)) + \")\" for i,c in enumerate(classes)], rotation=90);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[nan,\n",
       " 0.06729634002361275,\n",
       " 0.6366587957497049,\n",
       " 0.0,\n",
       " 0.029811097992916175,\n",
       " 0.0023612750885478157,\n",
       " 0.023022432113341203,\n",
       " 0.005017709563164109,\n",
       " 0.019185360094451005,\n",
       " 0.04781582054309327,\n",
       " 0.00029515938606847696,\n",
       " 0.005312868949232586,\n",
       " nan,\n",
       " 0.14994096812278632]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[freqs[str(i)]*normed[i][i] for i in range(14)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import f1_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "preds = []; labels = []\n",
    "for i in range(len(results_df)):\n",
    "    snippet = [results_df[str(_)][i] for _ in range(64)]\n",
    "    msk_idx = results_df.iloc[i]['masked_lm_positions']\n",
    "    masked_tk = snippet[msk_idx]\n",
    "    prediction = vocab_df.loc[results_df.iloc[i]['masked_lm_predictions']][0]\n",
    "    label = vocab_df.loc[results_df.iloc[i]['label_ids']][0]\n",
    "    t0 = get_token_class_id(prediction)\n",
    "    t1 = get_token_class_id(label)\n",
    "    preds.append(prediction)\n",
    "    labels.append(label)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9158795749704841"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f1_score(labels, preds, average='micro')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.5/dist-packages/sklearn/metrics/classification.py:1143: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.\n",
      "  'precision', 'predicted', average, warn_for)\n",
      "/usr/local/lib/python3.5/dist-packages/sklearn/metrics/classification.py:1145: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no true samples.\n",
      "  'recall', 'true', average, warn_for)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.5054794553485005"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f1_score(labels, preds, average='macro')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9094296595935276"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f1_score(labels, preds, average='weighted')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Naturalness 2.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [],
   "source": [
    "keras_z = {0:0, 1:0, 2:-7.15, 3:0, 4:0, 5:0, 6:7.90, 7:0, 8:0, 9:0, 10:0, 11:0, 12:0}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [],
   "source": [
    "requests_z = {0:-0.09, 1:-3.95, 2:0.08, 3:0, 4:-0.42, 5:0, 6:3.95, 7:-0.25, 8:0, 9:0, 10:0, 11:0, 12:0}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [],
   "source": [
    "flask_z = {0:-0.17, 1:-2.52, 2:0.27, 3:0, 4:-0.56, 5:0, 6:2.52, 7:-0.25, 8:0, 9:0, 10:0, 11:0, 12:0}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "plt.axis('off')\n",
    "plt.plot([0]*12, '.', c='k', linewidth=5, markersize=12)\n",
    "plt.plot(keras_z.values(), linewidth=3, label=\"Keras\")\n",
    "plt.plot(requests_z.values(), linewidth=3, label=\"Requests\")\n",
    "plt.plot(flask_z.values(), linewidth=3, label=\"Flask\")\n",
    "plt.legend();\n",
    "plt.savefig(\"n2.pdf\")"
   ]
  },
  {
   "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": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}