dkpro_childlex_analysis_style_figures.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "mounted-despite",
   "metadata": {},
   "source": [
    "- Notebook based on \"hunspell_analysis_public.ipynb\", copied and modified\n",
    "- <span style='background:yellow'> **Important note: Since errors have been analyzed within a full text, these are only analysed on token level. No types are to be reconstructed!** </span>\n",
    "\n",
    "# Analysis: language_tools' spelling correction on litkey data set\n",
    "Preface: This notebook is going to analyse the results of the evaluation of language_tool on the litkey data set. Therefore, the evaluation results, created in _postprocessing_run_complete_default_config_ notebook, are loaded into this notebook at first (see section 1). Afterwards, the evaluation results are going to be explored (see section 2-4).\n",
    "\n",
    "## Outline\n",
    "0. [Preparation](#0)\n",
    "    - Imports\n",
    "    - Configuration\n",
    "1. [Load data sets](#1)\n",
    "    - Types & token, case insensitive & case sensitive\n",
    "    - Explanantion of (new) variables\n",
    "2. **[Types & Tokens Stats](#2)**\n",
    "    - Upper bound value\n",
    "    - Bar charts\n",
    "    - Ratio\n",
    "3. [Distribution (token base):](#3)\n",
    "    - [**Per language_tool suggestions**](#5)\n",
    "    - Per testpoint (_same to hunspell, corpus stat_)\n",
    "    \n",
    "4. [Relationships:](#4) \n",
    "\n",
    "    - Suggestions index on test point\n",
    "        - Percent stacked bar plot\n",
    "        - [**Percent stacked bar plot, 3 categories**](#6)\n",
    "    - Levenshtein distance on testpoint (_same to hunspell, corpus stat_)\n",
    "        - Percent stacked bar plot\n",
    "    - Suggestions index on Levenshtein distance\n",
    "        - [**Percent stacked bar plot**](#7)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "still-professional",
   "metadata": {},
   "source": [
    "<a id='0'></a><br>\n",
    "## 0 - Preparation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "chief-mapping",
   "metadata": {},
   "outputs": [],
   "source": [
    "# TODO: Change summarys of plot to language_tool data\n",
    "# IMPORTS\n",
    "import pandas as pd\n",
    "import matplotlib as mpl\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "# Sets backend to the 'inline' backend; Helps with plotting\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.ticker import PercentFormatter\n",
    "\n",
    "import sys\n",
    "#sys.path.insert(0, './Experiments/Experiment_hunspell')\n",
    "sys.path.insert(0, './Experiments/Experiment_hunspell')\n",
    "\n",
    "import helpers_hunspell_analysis as helpers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "scheduled-vietnam",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Configuration for plots\n",
    "# Set figure size for sns plot\n",
    "%config InlineBackend.figure_format = 'retina'\n",
    "mpl.rc('figure', figsize=(8, 6), dpi=100)\n",
    "sns.set()\n",
    "#sns.set_style('darkgrid')\n",
    "\n",
    "# Do not truncate rows of DataFrame\n",
    "pd.set_option('display.max_rows', None)\n",
    "# Do not truncate column width\n",
    "pd.set_option('display.max_colwidth', None)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "affecting-industry",
   "metadata": {},
   "source": [
    "<a id='1'></a><br>\n",
    "## 1 - Load data sets\n",
    "Four versions of the data set are reloaded from pickles. The evaluation has been already run in _postprocessing_run_complete_default_config_ notebook.\n",
    "- type and token based case insensitive (no special ending in df name, i. e. _default_)\n",
    "- type and token based case sensitive (_cs ending_ in df name) \n",
    "\n",
    "\n",
    "### Explanation of (new) variables\n",
    "- Whether the target word is among the suggested words by Language Tool (= _**'in_sugg'**_).\n",
    "    - At which index it is among the suggested words by Language Tool (= _**'sugg_index'**_).\n",
    "- Whether the target word is ranked at index 0 by Language Tool (= _**'idx0'**_)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "female-broadcasting",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load df from pickle\n",
    "data_error_token = pd.read_pickle('./Experiments/Experiment_dkpro/data_error_token_dkpro_childlex_evaluation_lc.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "adolescent-prison",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_error_token_cs = pd.read_pickle('./Experiments/Experiment_dkpro/data_error_token_dkpro_childlex_evaluation_cs.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "filled-magnet",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>original</th>\n",
       "      <th>corrected</th>\n",
       "      <th>filename</th>\n",
       "      <th>freq_ori</th>\n",
       "      <th>freq_cor</th>\n",
       "      <th>freq_tup</th>\n",
       "      <th>suggestions</th>\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>belt</td>\n",
       "      <td>bellt</td>\n",
       "      <td>01-005-2-III-Eis.csv</td>\n",
       "      <td>91</td>\n",
       "      <td>138</td>\n",
       "      <td>91</td>\n",
       "      <td>[welt, bellt, bebt, beet]</td>\n",
       "      <td>True</td>\n",
       "      <td>1.0</td>\n",
       "      <td>False</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>kukt</td>\n",
       "      <td>kuckt</td>\n",
       "      <td>01-005-2-III-Eis.csv</td>\n",
       "      <td>73</td>\n",
       "      <td>152</td>\n",
       "      <td>73</td>\n",
       "      <td>[gut, kurz, tut, just, kalt, kauft, ruft, bunt, mußt, guckt, tust, ruht, juckt, hakt, zuckt, kickt, kaut, spukt, küßt, ruckt, duckt, lugt, hupt, buk, duzt, kamt, quakt, quäkt, tunkt, kaust, äugt, spukt]</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>dan</td>\n",
       "      <td>dann</td>\n",
       "      <td>01-005-2-III-Eis.csv</td>\n",
       "      <td>627</td>\n",
       "      <td>651</td>\n",
       "      <td>621</td>\n",
       "      <td>[dann, da, das, den, an, dank, daß, dar, dran, man, ran]</td>\n",
       "      <td>True</td>\n",
       "      <td>0.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>gekricht</td>\n",
       "      <td>gekriegt</td>\n",
       "      <td>01-005-2-III-Eis.csv</td>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>2</td>\n",
       "      <td>[gebracht, gekocht, gereicht, gekriegt, gerecht, gericht, geknickt, gekrächzt, gekickt, gekreischt, gerächt, gekeucht, gekracht, geklickt, gekräht]</td>\n",
       "      <td>True</td>\n",
       "      <td>3.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>leken</td>\n",
       "      <td>lecken</td>\n",
       "      <td>01-005-2-III-Eis.csv</td>\n",
       "      <td>14</td>\n",
       "      <td>17</td>\n",
       "      <td>14</td>\n",
       "      <td>[leben, legen, lesen, lecken, lenken]</td>\n",
       "      <td>True</td>\n",
       "      <td>3.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>felt</td>\n",
       "      <td>fällt</td>\n",
       "      <td>01-005-2-III-Eis.csv</td>\n",
       "      <td>93</td>\n",
       "      <td>198</td>\n",
       "      <td>90</td>\n",
       "      <td>[fest, welt, fehlt, fett, fegt]</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>wolte</td>\n",
       "      <td>wollte</td>\n",
       "      <td>01-005-2-III-Eis.csv</td>\n",
       "      <td>173</td>\n",
       "      <td>201</td>\n",
       "      <td>173</td>\n",
       "      <td>[wollte, holte, wolle, wogte]</td>\n",
       "      <td>True</td>\n",
       "      <td>0.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>lekt</td>\n",
       "      <td>leckt</td>\n",
       "      <td>01-005-2-III-Eis.csv</td>\n",
       "      <td>20</td>\n",
       "      <td>42</td>\n",
       "      <td>19</td>\n",
       "      <td>[lebt, legt, lenkt, lest, leckt]</td>\n",
       "      <td>True</td>\n",
       "      <td>4.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>fom</td>\n",
       "      <td>vom</td>\n",
       "      <td>01-005-2-III-Eis.csv</td>\n",
       "      <td>13</td>\n",
       "      <td>16</td>\n",
       "      <td>13</td>\n",
       "      <td>[vom, vom, form]</td>\n",
       "      <td>True</td>\n",
       "      <td>0.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>dan</td>\n",
       "      <td>dann</td>\n",
       "      <td>01-005-2-III-Eis.csv</td>\n",
       "      <td>627</td>\n",
       "      <td>651</td>\n",
       "      <td>621</td>\n",
       "      <td>[da, dann, das, den, man, an, dank, daß, dran, dar, ran]</td>\n",
       "      <td>True</td>\n",
       "      <td>1.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>dan</td>\n",
       "      <td>dann</td>\n",
       "      <td>01-005-2-III-Eis.csv</td>\n",
       "      <td>627</td>\n",
       "      <td>651</td>\n",
       "      <td>621</td>\n",
       "      <td>[dann, da, an, daß, dar, dran, dank, das, man, den, ran]</td>\n",
       "      <td>True</td>\n",
       "      <td>0.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>leken</td>\n",
       "      <td>lecken</td>\n",
       "      <td>01-005-2-III-Eis.csv</td>\n",
       "      <td>14</td>\n",
       "      <td>17</td>\n",
       "      <td>14</td>\n",
       "      <td>[lecken, legen, leben, lesen, lenken]</td>\n",
       "      <td>True</td>\n",
       "      <td>0.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>gawen</td>\n",
       "      <td>kaufen</td>\n",
       "      <td>01-006-2-III-Eis.csv</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>[gaben, gaben, gasen]</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>din</td>\n",
       "      <td>ein</td>\n",
       "      <td>01-006-2-III-Eis.csv</td>\n",
       "      <td>2</td>\n",
       "      <td>26</td>\n",
       "      <td>1</td>\n",
       "      <td>[ein, in, den, die, dir, dein, bin, hin, drin]</td>\n",
       "      <td>True</td>\n",
       "      <td>0.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>keld</td>\n",
       "      <td>geld</td>\n",
       "      <td>01-006-2-III-Eis.csv</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>[geld, feld, held]</td>\n",
       "      <td>True</td>\n",
       "      <td>0.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>man</td>\n",
       "      <td>mann</td>\n",
       "      <td>01-006-2-III-Eis.csv</td>\n",
       "      <td>79</td>\n",
       "      <td>132</td>\n",
       "      <td>79</td>\n",
       "      <td>[an, mal, mag, ran, man, man, maß]</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>man</td>\n",
       "      <td>mann</td>\n",
       "      <td>01-006-2-III-Eis.csv</td>\n",
       "      <td>79</td>\n",
       "      <td>132</td>\n",
       "      <td>79</td>\n",
       "      <td>[an, man, mag, mal, man, maß, ran]</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>gien</td>\n",
       "      <td>gehen</td>\n",
       "      <td>01-006-2-III-Eis.csv</td>\n",
       "      <td>1</td>\n",
       "      <td>78</td>\n",
       "      <td>1</td>\n",
       "      <td>[gen, gieß, gier]</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>nahaise</td>\n",
       "      <td>nachhause</td>\n",
       "      <td>01-006-2-III-Eis.csv</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>[anfasse, fahrige, anhast, nahe, anhatte, nahes, hause, nasse, hasse, anhabe, nahte, anhalte]</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>esen</td>\n",
       "      <td>essen</td>\n",
       "      <td>01-006-2-III-Eis.csv</td>\n",
       "      <td>22</td>\n",
       "      <td>14</td>\n",
       "      <td>12</td>\n",
       "      <td>[lesen, wesen, besen, eben, essen, lesen]</td>\n",
       "      <td>True</td>\n",
       "      <td>4.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    original  corrected              filename  freq_ori  freq_cor  freq_tup  \\\n",
       "0       belt      bellt  01-005-2-III-Eis.csv        91       138        91   \n",
       "1       kukt      kuckt  01-005-2-III-Eis.csv        73       152        73   \n",
       "2        dan       dann  01-005-2-III-Eis.csv       627       651       621   \n",
       "3   gekricht   gekriegt  01-005-2-III-Eis.csv         2        15         2   \n",
       "4      leken     lecken  01-005-2-III-Eis.csv        14        17        14   \n",
       "5       felt      fällt  01-005-2-III-Eis.csv        93       198        90   \n",
       "6      wolte     wollte  01-005-2-III-Eis.csv       173       201       173   \n",
       "7       lekt      leckt  01-005-2-III-Eis.csv        20        42        19   \n",
       "8        fom        vom  01-005-2-III-Eis.csv        13        16        13   \n",
       "9        dan       dann  01-005-2-III-Eis.csv       627       651       621   \n",
       "10       dan       dann  01-005-2-III-Eis.csv       627       651       621   \n",
       "11     leken     lecken  01-005-2-III-Eis.csv        14        17        14   \n",
       "12     gawen     kaufen  01-006-2-III-Eis.csv         1         6         1   \n",
       "13       din        ein  01-006-2-III-Eis.csv         2        26         1   \n",
       "14      keld       geld  01-006-2-III-Eis.csv         1         5         1   \n",
       "15       man       mann  01-006-2-III-Eis.csv        79       132        79   \n",
       "16       man       mann  01-006-2-III-Eis.csv        79       132        79   \n",
       "17      gien      gehen  01-006-2-III-Eis.csv         1        78         1   \n",
       "18   nahaise  nachhause  01-006-2-III-Eis.csv         1        10         1   \n",
       "19      esen      essen  01-006-2-III-Eis.csv        22        14        12   \n",
       "\n",
       "                                                                                                                                                                                                   suggestions  \\\n",
       "0                                                                                                                                                                                    [welt, bellt, bebt, beet]   \n",
       "1   [gut, kurz, tut, just, kalt, kauft, ruft, bunt, mußt, guckt, tust, ruht, juckt, hakt, zuckt, kickt, kaut, spukt, küßt, ruckt, duckt, lugt, hupt, buk, duzt, kamt, quakt, quäkt, tunkt, kaust, äugt, spukt]   \n",
       "2                                                                                                                                                     [dann, da, das, den, an, dank, daß, dar, dran, man, ran]   \n",
       "3                                                          [gebracht, gekocht, gereicht, gekriegt, gerecht, gericht, geknickt, gekrächzt, gekickt, gekreischt, gerächt, gekeucht, gekracht, geklickt, gekräht]   \n",
       "4                                                                                                                                                                        [leben, legen, lesen, lecken, lenken]   \n",
       "5                                                                                                                                                                              [fest, welt, fehlt, fett, fegt]   \n",
       "6                                                                                                                                                                                [wollte, holte, wolle, wogte]   \n",
       "7                                                                                                                                                                             [lebt, legt, lenkt, lest, leckt]   \n",
       "8                                                                                                                                                                                             [vom, vom, form]   \n",
       "9                                                                                                                                                     [da, dann, das, den, man, an, dank, daß, dran, dar, ran]   \n",
       "10                                                                                                                                                    [dann, da, an, daß, dar, dran, dank, das, man, den, ran]   \n",
       "11                                                                                                                                                                       [lecken, legen, leben, lesen, lenken]   \n",
       "12                                                                                                                                                                                       [gaben, gaben, gasen]   \n",
       "13                                                                                                                                                              [ein, in, den, die, dir, dein, bin, hin, drin]   \n",
       "14                                                                                                                                                                                          [geld, feld, held]   \n",
       "15                                                                                                                                                                          [an, mal, mag, ran, man, man, maß]   \n",
       "16                                                                                                                                                                          [an, man, mag, mal, man, maß, ran]   \n",
       "17                                                                                                                                                                                           [gen, gieß, gier]   \n",
       "18                                                                                                               [anfasse, fahrige, anhast, nahe, anhatte, nahes, hause, nasse, hasse, anhabe, nahte, anhalte]   \n",
       "19                                                                                                                                                                   [lesen, wesen, besen, eben, essen, lesen]   \n",
       "\n",
       "   in_sugg  sugg_idx   idx0  \n",
       "0     True       1.0  False  \n",
       "1    False       NaN  False  \n",
       "2     True       0.0   True  \n",
       "3     True       3.0  False  \n",
       "4     True       3.0  False  \n",
       "5    False       NaN  False  \n",
       "6     True       0.0   True  \n",
       "7     True       4.0  False  \n",
       "8     True       0.0   True  \n",
       "9     True       1.0  False  \n",
       "10    True       0.0   True  \n",
       "11    True       0.0   True  \n",
       "12   False       NaN  False  \n",
       "13    True       0.0   True  \n",
       "14    True       0.0   True  \n",
       "15   False       NaN  False  \n",
       "16   False       NaN  False  \n",
       "17   False       NaN  False  \n",
       "18   False       NaN  False  \n",
       "19    True       4.0  False  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(data_error_token.head(20))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "legendary-forty",
   "metadata": {},
   "outputs": [],
   "source": [
    "#display(data_error_types.head(5))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "canadian-junction",
   "metadata": {},
   "source": [
    "<a id='2'></a><br>\n",
    "## 2 - Types & Tokens Stats"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fantastic-status",
   "metadata": {},
   "source": [
    "### Get upper bound information"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "seeing-terrorism",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Values copied from language_tool_upper_bound notebook\n",
    "# TODO: Do not hardcode\n",
    "#ub_types = 0.0\n",
    "ub_token = 0.0\n",
    "\n",
    "#  TODO: Change values\n",
    "#ub_types_ci = 0.0\n",
    "ub_token_ci = 0.0\n",
    "\n",
    "#df_list = [data_error_types, data_error_token]\n",
    "df_list = [data_error_token]\n",
    "\n",
    "def get_ub(df, ub):\n",
    "    ub_pct = round(ub*100, 2)\n",
    "    ub_ttl = int(df.shape[0]*ub)\n",
    "    return [ub, ub_pct, ub_ttl]\n",
    "\n",
    "#ub_types_list = get_ub(data_error_types, ub_types)\n",
    "ub_token_list = get_ub(data_error_token, ub_token)\n",
    "\n",
    "#ub_types_ci_list = get_ub(data_error_types, ub_types_ci)\n",
    "ub_token_ci_list = get_ub(data_error_token, ub_token_ci)\n",
    "\n",
    "#for i in range(len(ub_types_list)):\n",
    "#    print(ub_types_list[i])\n",
    "#print('*'*20)\n",
    "#for i in range(len(ub_token_list)):\n",
    "#    print(ub_token_list[i])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "extra-automation",
   "metadata": {},
   "source": [
    "### Get values for bar chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "mathematical-namibia",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Token case insensitive\n",
      "24601\n",
      "19572\n",
      "11344\n",
      "********************\n",
      "Token CASE SENSITIVE\n",
      "24601\n",
      "19059\n",
      "10893\n"
     ]
    }
   ],
   "source": [
    "# Get values for y axis\n",
    "def get_values_bars(df):\n",
    "    total = df.shape[0]\n",
    "    in_sugg = df[df.in_sugg].shape[0]\n",
    "    idx0 = df[df.idx0].shape[0]\n",
    "    return [total, in_sugg, idx0]\n",
    "\n",
    "#values_types = get_values_bars(data_error_types)\n",
    "values_token = get_values_bars(data_error_token)\n",
    "\n",
    "#values_types_cs = get_values_bars(data_error_types_cs)\n",
    "values_token_cs = get_values_bars(data_error_token_cs) \n",
    "\n",
    "#print('Types case insensitive')\n",
    "#for i in range(len(values_types)):\n",
    "#    print(values_types[i])\n",
    "#print('*'*20)\n",
    "\n",
    "print('Token case insensitive')\n",
    "for i in range(len(values_token)):\n",
    "    print(values_token[i])\n",
    "print('*'*20)\n",
    "\n",
    "#print('Types CASE SENSITIVE')\n",
    "#for i in range(len(values_types_cs)):\n",
    "#    print(values_types_cs[i])\n",
    "#print('*'*20)\n",
    "\n",
    "print('Token CASE SENSITIVE')\n",
    "for i in range(len(values_token_cs)):\n",
    "    print(values_token_cs[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "trying-effects",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Put everything together in lists\n",
    "# define x axis POSITIONS\n",
    "#x_pos = [[0,1,2], [0,1,2], [0,1,2], [0,1,2]] #plot 0, plot 1, plot 3, plot 4\n",
    "x_pos = [[0,1,2], [0,1,2]]\n",
    "\n",
    "# put y axis VALUES together, see above\n",
    "#y_val = [values_types, values_token, values_types_cs, values_token_cs] #plot 0, plot 1, plot 3, plot 4\n",
    "y_val = [values_token, values_token_cs]\n",
    "\n",
    "# put upper bound values together, see above\n",
    "#ub_list = [ub_types_ci_list, ub_token_ci_list, ub_types_list, ub_token_list]\n",
    "ub_list = [ub_token_ci_list, ub_token_list]\n",
    "\n",
    "x_y_plots = zip(x_pos, y_val)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "complex-brass",
   "metadata": {},
   "source": [
    "### Bar charts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "human-crowd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# TODO: Outsource\n",
    "\n",
    "def loop_plot(plots, ub_list):\n",
    "    \n",
    "        # Plot everythin in one figure\n",
    "        fig = plt.figure(figsize=(8,8))\n",
    "        \n",
    "        # Use dict to have more control\n",
    "        axs = {}\n",
    "        # Counter for position of subplot, third argument\n",
    "        e = 1\n",
    "        \n",
    "        # loop over 'plots', i. e. 1 list containing 4 tuples (idx 0,1,2,3);\n",
    "        # each tuple containing 2 lists (x and y values)\n",
    "        \n",
    "        # control overall plot via 'idx', set axes\n",
    "            # idx is no. of plot\n",
    "        # control content of plot via 'value'\n",
    "        \n",
    "        for idx, value in enumerate(plots):\n",
    "        #for idx, (x, y) in enumerate(zip(x_pos, y_vals)):\n",
    "            \n",
    "            # Add axes subplot\n",
    "            axs[idx] = fig.add_subplot(2,2,e)\n",
    "       \n",
    "            # Create bars\n",
    "            # value[0] is position x axis, value[1] position y axis (value count)\n",
    "            axs[idx].bar(value[0], value[1])\n",
    "\n",
    "            \n",
    "            # CONFIQ that stays same\n",
    "            \n",
    "            # Names of groups and bar width\n",
    "            names = ['all errors','in suggestions','first suggestion']\n",
    "            barWidth = 1\n",
    "\n",
    "            # Custom x axis\n",
    "            axs[idx].set_xticks(value[0])\n",
    "            axs[idx].set_xticklabels(names, rotation=20)\n",
    "            axs[idx].set_ylabel('count')\n",
    "\n",
    "            # Baseline plot\n",
    "            # Use idx of loop to control ub_list also\n",
    "            axs[idx].axhline(ub_list[idx][2], ls='-', color='r') # access total value\n",
    "            axs[idx].text(2, ub_list[idx][2]+(value[1][0]/50), str(ub_list[idx][1])+'%', color='r', weight='bold', style='italic') # x,y ; Access pct value\n",
    "            axs[idx].text(2, ub_list[idx][2]-(value[1][0]/12.5), '('+str(ub_list[idx][2])+')')\n",
    "            \n",
    "            # Text for bar plots (total, pct)\n",
    "            pct_bars = [100, round(value[1][1]/value[1][0]*100,2), round(value[1][2]/value[1][0]*100,2)] # all, in sugg, index 0\n",
    "            for idx2, value2 in enumerate(value[1]): # loop over y positions\n",
    "                # total\n",
    "                axs[idx].text(idx2-0.275, value2-(value[1][0]*0.1), '('+str(value2)+')') # x, y\n",
    "                # percent\n",
    "                axs[idx].text(idx2-0.275, value2, str(pct_bars[idx2])+'%', color='grey', weight='bold', style='italic')\n",
    "            \n",
    "            e+=1\n",
    "        \n",
    "        return fig, axs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "green-seeking",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 800x800 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 433,
       "width": 783
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = loop_plot(x_y_plots, ub_list)\n",
    "\n",
    "# CONFIQ for each plot each\n",
    "\n",
    "#axs[0].set_title(\"Type base\")\n",
    "axs[0].set_title(\"Token base\")\n",
    "\n",
    "#axs[2].set_title(\"Type base, case sensitive\")\n",
    "axs[1].set_title(\"Token base, case sensitive\")\n",
    "\n",
    "#plt.set_title(\"Spelling correction by Language Tool (TYPE base)\", fontweight='bold')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "entire-arabic",
   "metadata": {},
   "source": [
    "### Ratios"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "equal-moore",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.461119466688346"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "0.5796035152258329"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(values_token[2]/values_token[0]) # first_sugg/all_token\n",
    "display(values_token[2]/values_token[1]) # first_sugg/in_sugg"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "sudden-visibility",
   "metadata": {},
   "source": [
    "<a id='3'></a><br>\n",
    "## 3 - Distributions (token base)\n",
    "- Per language_tool suggestions (indices)\n",
    "- Per testpoint"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "considered-beijing",
   "metadata": {},
   "outputs": [],
   "source": [
    "# PREPARATION\n",
    "# How often is it not in suggestions at all? dummy index -1\n",
    "data_error_token['sugg_idx'].fillna(-1, inplace=True)\n",
    "#data_error_types['sugg_idx'].fillna(-1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "unauthorized-arrest",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       " 0.0     11344\n",
       "-1.0      5029\n",
       " 1.0      3571\n",
       " 2.0      1773\n",
       " 3.0       913\n",
       " 4.0       521\n",
       " 5.0       369\n",
       " 6.0       224\n",
       " 7.0       156\n",
       " 8.0       125\n",
       " 9.0       103\n",
       " 10.0       96\n",
       " 11.0       86\n",
       " 13.0       69\n",
       " 14.0       26\n",
       " 12.0       24\n",
       " 15.0       20\n",
       " 16.0       18\n",
       " 20.0       18\n",
       " 17.0       17\n",
       " 19.0       16\n",
       " 21.0       11\n",
       " 22.0        9\n",
       " 18.0        9\n",
       " 32.0        6\n",
       " 33.0        6\n",
       " 29.0        4\n",
       " 23.0        4\n",
       " 31.0        3\n",
       " 24.0        3\n",
       " 30.0        3\n",
       " 27.0        3\n",
       " 25.0        3\n",
       " 35.0        2\n",
       " 26.0        2\n",
       " 37.0        2\n",
       " 38.0        2\n",
       " 52.0        2\n",
       " 47.0        1\n",
       " 43.0        1\n",
       " 36.0        1\n",
       " 39.0        1\n",
       " 34.0        1\n",
       " 45.0        1\n",
       " 70.0        1\n",
       " 28.0        1\n",
       " 49.0        1\n",
       "Name: sugg_idx, dtype: int64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(data_error_token.sugg_idx.value_counts().sort_values(ascending=False))\n",
    "#display(data_error_types.sugg_idx.value_counts().sort_values(ascending=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "ba847e4a-5029-43f4-8ddf-ee806767f0b9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "70.0"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max(data_error_token.sugg_idx.value_counts().index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "1a7c159c-0167-4bd1-b673-0fd8c49b539d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>original</th>\n",
       "      <th>corrected</th>\n",
       "      <th>filename</th>\n",
       "      <th>freq_ori</th>\n",
       "      <th>freq_cor</th>\n",
       "      <th>freq_tup</th>\n",
       "      <th>suggestions</th>\n",
       "      <th>in_sugg</th>\n",
       "      <th>sugg_idx</th>\n",
       "      <th>idx0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10023</th>\n",
       "      <td>basirt</td>\n",
       "      <td>passiert</td>\n",
       "      <td>05-329-3-III-Staubsauger.csv</td>\n",
       "      <td>2</td>\n",
       "      <td>75</td>\n",
       "      <td>2</td>\n",
       "      <td>[hast, besagt, kariert, bannt, faire, fair, kauert, begibt, massiert, zart, briet, absurd, bat, damit, beriet, beeilt, besiegt, abwirft, barg, wahrt, breit, bleibt, hasst, lastet, bahnt, bastle, lauert, badest, bösere, bessert, bohrt, besorgt, last, kapiert, balgt, birgt, baut, fasst, besitzt, besieht, besinnt, wascht, wart, bauscht, dasitzt, tastet, fahrt, beritt, bist, lagert, ballt, bewirf, backst, pariert, hart, hastet, nascht, abgibt, besorg, böser, passt, bewirkt, blamiert, lasst, rast, baust, badet, absieht, bugsiert, rastet, passiert, beißt, blast, bewirft, fast, bewirbt, dauert, bart, bastelt, backt]</td>\n",
       "      <td>True</td>\n",
       "      <td>70.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      original corrected                      filename  freq_ori  freq_cor  \\\n",
       "10023   basirt  passiert  05-329-3-III-Staubsauger.csv         2        75   \n",
       "\n",
       "       freq_tup  \\\n",
       "10023         2   \n",
       "\n",
       "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    suggestions  \\\n",
       "10023  [hast, besagt, kariert, bannt, faire, fair, kauert, begibt, massiert, zart, briet, absurd, bat, damit, beriet, beeilt, besiegt, abwirft, barg, wahrt, breit, bleibt, hasst, lastet, bahnt, bastle, lauert, badest, bösere, bessert, bohrt, besorgt, last, kapiert, balgt, birgt, baut, fasst, besitzt, besieht, besinnt, wascht, wart, bauscht, dasitzt, tastet, fahrt, beritt, bist, lagert, ballt, bewirf, backst, pariert, hart, hastet, nascht, abgibt, besorg, böser, passt, bewirkt, blamiert, lasst, rast, baust, badet, absieht, bugsiert, rastet, passiert, beißt, blast, bewirft, fast, bewirbt, dauert, bart, bastelt, backt]   \n",
       "\n",
       "      in_sugg  sugg_idx   idx0  \n",
       "10023    True      70.0  False  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_error_token[data_error_token.sugg_idx == 70.0]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "united-branch",
   "metadata": {},
   "source": [
    "<a id='5'></a><br>\n",
    "#### 1) Per language_tool suggestions (indices)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "separated-linux",
   "metadata": {},
   "outputs": [],
   "source": [
    "#sns.countplot(data_error_types.dict_index)\n",
    "#sns.countplot(data_error_types[data_error_types.possible].dict_index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "crucial-surface",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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fm3u5xsxlbv2XFlOhgNLQT18rChDTwrr4Y1raFHNMJYysKhg45r/T9GSLqVDCyNrOsPEKEtPWvljiFdf6Czl+lkoljOyqGDaUsvSUsyRiWlmZ5bp4uqEIIRAfn8qY/8GYxRGvJGJmPa9ERERERC/q5f/WKzyFEEKU9EFQ6fDGG2/g9OnTAABfX1/Y2OR+8+748eOYMWMGAGDOnDmYPn16sRwjEREREREREREREZV+pS8dQiVGrVbLv8uVy/vJ88yvZ34fERERERERERERERGTDyQZGf07RUJ+Q80zD5hRKnkZEREREREREREREdG/eNeYJAuLf+efT0lJyXPb1NR/56g1NX156xAQERERERERERER0auHyQeSypcvL/9OTk7Oc9ukpCT5d15rQxARERERERERERFR2cPkA0nVqlWTf4eEhOS5bebXHRwcXtoxEREREREREREREdGrh8kHkpycnOTfwcHBeW77+PFj+Xf9+vVf2jERERERERERERER0auHyQeSmjZtKheavnjxYp7b+vr6AgCqVq2K6tWrv/RjIyIiIiIiIiIiIqJXB5MPJFWtWhVNmzYFABw+fBgJCQk5bnfx4kU8fPgQANCzZ8/iOjwiIiIiIiIiIiIiekUw+UB6xo4dCwCIiYnBhx9+CK1Wq/d6bGwsPvzwQwCAiYkJxowZU+zHSERERERERERERESlm0IIIUr6IKh0mTx5Mry9vQEALVq0wLhx4+Dg4IDbt29j7dq1ePr0KQDg3XffxbRp00ryUImIiIiIiIiIiIioFGLygbJJSEjA9OnT4efnl+s2EyZMwMKFC+UaEUREREREREREREREOkw+UI60Wi327t2L/fv3IzAwEPHx8ahQoQLc3d0xevRoeHp6lvQhEhEREREREREREVEpxeQDEREREREREREREREZFBecJiIiIiIiIiIiIiIig2LygYiIiIiIiIiIiIiIDIrJByIiIiIiIiIiIiIiMigmH4iIiIiIiIiIiIiIyKCYfCAiIiIiIiIiIiIiIoNi8oGIiIiIiIiIiIiIiAyKyQciIiIiIiIiIiIiIjIoJh+IiIiIiIiIiIiIiMigmHwgIiIiIiIiIiIiIiKDYvKBiIiIiIiIiIiIiIgMiskHIiIiIiIiIiIiIiIyKCYfiIiIiIiIiIiIiIjIoJh8ICIiIiIiIiIiIiIig2LygYiIiIiIiIiIiIiIDIrJByIiIiIiIiIiIiIiMigmH4iIiIiIiIiIiIiIyKCYfCAiIiIiIiIiIiIiIoNi8oHo/wkhSvoQiIiIiIiIiIiIiP4TmHygMisuLg5hYWFITExEQkICFAqFfI2JiILTarWF+vdXUVkoIxERUXHIrY/1MttUxmTMVykeY7KPTUT/XWWlri0LbTUVnELwLiuVMX5+fvDz88OuXbuQlJSEihUrwtjYGEOHDoVKpUKrVq1gZGQErVYLpbLo+TkhhF5CIzONRgMjI6Mi77u0iY+PR0xMDMLCwlCzZk2Ym5vDyspKvp7XuSiskjqvxVnG/Pb3ssrJmP+tmEREpVVkZCTi4uIQGRmJGjVqwMrKCpaWlvJ1Q7epjMmYr1o8xnx5MYu7T1ZW+p2MyZiMWXBloa4tiZj/9fakpGIaApMPVKacOHECH330EaKiopCWlpbt9Tp16sDJyQmLFi1C1apVXyhWSkoKEhMT4ePjg+joaFSrVg3ly5eHp6fnC+03P5kro8wJlJfRmDx8+BD79u3D33//jcjISCQmJqJu3bpQKpUYP348GjduDJVKBYVC8cLJHJ3iPq8lUUagZK4fxvxvxcyNrtlXKBR6fxvy+s0tbtY66GXUS5n3DRRvORmTMRkzbzdv3oSXlxcOHDiAhIQEJCUloXbt2jA2NsakSZPg4uICZ2dnADBYfMZkzFcpHmO+3JgAkJiYiJiYGPj6+iIyMhJ16tRB+fLl0bp1a4Psv6TjMSZjMmbpjVlW6tqy0FYDZeOaNRQmH6jMCAgIwMiRI5GWliZvGDdp0gSBgYEICQnB8ePH5bbW1tZYtmwZunbtWqRYUVFRWLVqFXx9fXH//n357+XKlUPDhg0xYsQIuLq6okGDBgAMWwFmlpCQoJfpNaSwsDBMnz4dt2/fhlarhbGxMTQajd5wt+bNm6NVq1YYN24cKlSo8MI3Gov7vJZEGYGSuX4Y878Vs6Di4+P1RvC8THfu3AGQ0WFydnaGUqmEmZmZ/M68zEREcZaTMRmTMXN2//59zJw5E8HBwRBCwMzMDKmpqXrbtGjRAp6enhg/fjysrKxeuD5kTMZ8kZhloYxlKSYAPH78GGvWrIGvry+ePn0KAFAqlTAyMoK7uzsGDx6Mxo0bo379+gBe/CGJ4o7HmIzJmKU3Zlmpa8tCWw2UjWvWkJh8oDIhPj4ekyZNwvXr19GjRw+8+eabUKlU8nW1Wo1jx45hxYoViIqKQnJyMgBgzpw5mDx5MoyNjQscS6PRYNKkSbhw4QIAwNzcHBUqVMCzZ89gamoKtVoNKysruLi4oF+/fhg+fDgAw9xwFELg9OnTOH78OG7duoWIiAi4u7vD2toaY8aMQaVKlWBjYyO3LWpFpNFoMHLkSNy4cQP16tWTN+DLlSuHkydP4smTJzh//jwAwMbGBiqVCgsXLoSLi0uRYxf3eS2JMpZEORnzvxczLykpKfD29sahQ4fw6NEjhIeHo3nz5rCxscHYsWNhZ2cHW1tbAIbrrHh5ecmYRkZGSEhIgJubGypWrIgJEybAzc0NFhYWBo1ZEuVkTMZkzNzFx8dj2LBhCAoKgouLC5o3b44WLVrA2NgYJ0+eRHBwsKwnbWxs4OrqikWLFsHJyanIZWNMxnyRmGWhjGUppi7u+PHjERAQAACwsrKCtbU1nj59ChMTE6SlpcHGxgYNGzbEoEGDMGjQIABF75MVdzzGZEzGLL0xy0pdWxbaal3c//o1a2hMPlCZcOzYMSxevBjly5fHV199hebNm0OhUCA9PV0vsXD//n2sXbsW58+fR3h4OABg5MiRWLx4MUxNTQs0h9rcuXNx4MABODo6YuDAgejcuTPs7e1x9+5dXL58GceOHcP9+/ehVCphZWWFvn374n//+x+MjY1fuGL4/PPPcfDgQURGRmZ7zcrKCt27d0fbtm3Rt29fAEWviJYvX45169ahZs2a+Pzzz+Hm5gZTU1MAQFpaGsLCwnDo0CEsX75cvqdy5cpYsmQJunfvDqDwNzGK+7yWRBlLopyM+d+LmZeFCxfi1KlTiI6Ozvaara0tunbtinbt2qF3794AXryzsnXrVqxcuVImdDNP66IzdOhQGdfU1NQgN1WLu5yMyZiMmbclS5Zg165dcHFxwaeffipHPwEZD4CEh4fjr7/+wnfffSff4+joiA8//BAdO3YEUPg2lTEZ80ViloUylqWYADB58mScPXsWTk5O6NevHzp16oQKFSrg5s2buHbtGg4ePIigoCAYGRnBysoKAwcOxKJFiwAUre4r7niMyZiMWXpjlpW6tiy01UDZuGYNThCVAevXrxcqlUp06dJFhIaG5riNVqsVQggRHx8vVq9eLfr27StUKpVQqVRi2rRpIj09XQghhEajyTXO/v37hUqlEk2bNhVHjx4VKSkpeq8nJyeLoKAgMWfOHLlvlUolJk2aJI9LdxyFtXLlSqFSqUTjxo1Fv379xMKFC8VHH30k+vXrJzp37ixjde3aVSxdulQkJCTkW56cxMTEiHHjxglXV1fx888/C7VaLV/Lui9/f3/RtWtXGdvd3V1s2bJFvl7Qshb3eS2JMpZEORnzvxczL0uWLBEqlUo0a9ZMDB48WCxZskR8/PHHYsCAAbKOcHZ2Ft26dROfffaZSE1NFUIUvo7QOXr0qCzTlClTxPr168WBAweEl5eXmDhxoujZs6d8ffDgwWLVqlW51s+luZyMyZiMmbfw8HAxfPhw0bhxY/Hbb7/J/pRWq81Wx/n6+oqOHTvKuqFly5Zix44d8vWC1omMyZgvErMslLEsxRRCiG3btgmVSiXatm0rfHx8ZH2mk5ycLB4+fChmzpyp1yebNm2aeP78eamPx5iMyZilN2ZZqWvLQlstRNm4Zl8GJh+oTPjxxx+FSqUSI0eOlP+W05cv8w/qnTt3ikGDBglXV1ehUqnEhAkTRFRUVI771+3ru+++Ey4uLmLKlCnyS551vzrr1q2T+9bdfLt582aRynf48GG5n02bNong4GD5WkREhPDx8dG7wenq6ipGjx4tHj58WOhYwcHB8ri9vLxy3U5X5oiICDFlyhS9iv6nn34qUKySOq/FWUYhSqacjPnfipmfnTt3yu/+rl279G7yh4aGirNnz4o333xTr46YMGGCePLkiV6ZCio4OFh06dJFqFQq8emnn2ZLKsTHx4ujR4+KefPmyZjt27cXCxYsEIGBga9MORmTMRkzfwEBAXI/3t7euW6n2+fTp0/F+PHj5Xs8PDzEhg0bClU+xmTMF4lZFspYVmLq9vPJJ58IZ2dn8c4774i4uLhsr2f2ww8/CBcXFxlzxIgR4u7du6UyHmMyJmOW7phClI26tiRi/tfbk5KK+bKU/MRPRMXA2toaAODv74+jR48CQI5Dq5RKJbRaLQBg+PDhmDZtGurWrQuFQoGLFy9i1apViI+Pz/Y+hUIBjUaDK1euQKPRoGLFiqhYsaLefnU0Gg2AjGFTq1atgr29PQAgMDAQH3zwAS5evFiosiUlJeGvv/4CAIwYMQJDhgxB9erVZSx7e3u0bt0aK1euxP/+9z8AQHp6Oi5evIipU6fKOfAAZJsOJScpKSkwMzPLcfqUzJRKpYz/888/Y9iwYQCAuLg4/PHHH/j111+RlpaWZ6ySOq/FWcaSKidj/rdi5iU2NhaHDh0CAIwfPx59+/aFg4MDgIwhmA4ODmjTpg1Wr16NuXPnAsioI86dO4c33ngDV65cKfRQ1OvXryMmJgY1a9bE0KFDZTwhBLRaLSwtLdGtWze89957WLx4McqVK4fw8HD8888/WLVqVZHKXRLlZEzGZMz8paWlwdjYGMbGxkhPT891O13d6ejoiJ9//hn9+vUDAMTExGDHjh3YtWuXrDMZkzFfZsyyUMayElOhUCA1NRVXrlyBEAKVK1eGlZWV3us6uv3NnDkTK1asQIUKFQAAN27cwJIlS3Dt2rVSF48xGZMxS3dMoGzUtSUR87/enpRUzJeFyQcqE9zd3WFjYwMjIyN4e3vLBIPuv5llTkD06tUL7733HiwtLZGWloazZ8/izp07ALLfqFcoFChfvjwAIDg4GCkpKTneuDYyMpL779y5M3755RfUqlULWq0W9+7dw4YNG3D79u0Cl00IIY+pevXqsLKykpVQ1vUpxo0bh40bN6JatWryOBcsWIDDhw/LMuSXgKhcuTIcHBwghICPjw+AnM+jLr5Go4FCocCnn36KadOmAQAeP34MLy8v3L9/HwDyrOxL4rwWdxlLqpyM+d+KmZv09HQEBgYCAGrWrAlzc3P5Wta5H6dMmYK1a9eiSpUqAIAHDx5g7ty5OHHihNymIEnKO3fuIDExEeXKlYNKpZL/rlAo9GI6ODhg9OjRWL16NapXr474+HicOXMGmzdvLnQCoiTKyZiMyZj5x3RwcEDlypWh0Whw9uxZAPm3qaampli+fDkmTpwIAHj06BG8vLwQHByc5/sZkzENEbMslLEsxczcJ3vw4AHUanW+fbJevXrhp59+QtWqVaHRaBAYGIgNGzbgwYMHecYqiXiMyZiMWbpjlpW6tiy01WXlmn0ZmHygMqFhw4bw8PCARqPBjh078NtvvwHQTzRkplQq5Re6Y8eO+O6772BhYYGgoCB8++23SElJyfbUn1KpRIMGDQAAUVFRePLkicyy5rR/IKNya9iwIX777Te4uLggJSUFZ86cwbFjxwpctoiICMTFxcHU1BS1a9cGkPONAJExzRpat26NjRs3okmTJvL9q1ev1ktA5MXCwgK1atUCAPz11184f/68LE9ulaDuHMyZMwfvvPMOAODy5ctYvXq13CY3JXFei7uMJVVOxvxvxcxNREQEkpKSYG5ujpo1awLI+TrW1YUdO3bE+vXr4eLiAgAICwvDqlWr5M3GvOoI3T5SUlIAAKmpqYiPj8/zaRSlUol27dph9erVaNq0KVJTU3H06FHs2rULz54909tvaSknYzImYxY8pq2tLapVqwYhBHbv3g1/f/88F73L3KYuWLBAJvXPnz+PNWvWAMieJGFMxjRkzLJQxrIU09TUVPbJQkNDER4enmefTPebqUmTJvjtt99Qv359JCcn4+TJk3qJ19ISjzEZkzFLd8yyUteWhba6rFyzLwOTD/Sfp/vxPHHiRPkE7meffYYtW7YAyD0BoRsFIISAp6cnRo4cCRMTEwQHB+P58+c5xmrRogUAICgoCF9++SXUajWMjIxyfSpQqVQiPT0ddnZ2+OGHH9CyZUukpaVh1apVOH78eIHKV7FiRVhbW0OtVuPIkSNQq9W5lkehUECr1aJmzZrYuHEjOnbsCI1Gg3v37mHPnj3yKf28bvSZmJhgypQpqF69OtRqNT799FP5hHJuIycyZ2Ffe+01vPbaazA2Noa3t7esAPN6crK4z2tJlLEkysmY/72YObGzs4OlpSWSk5Nx5MgRaDSaXJOuQMb3v169eti4cSM8PDyQnp6O27dvY+/evXj8+LHcJie6m5C6p6RjY2MRHBwMY2PjfK9/Z2dnfP755+jUqRMAYN++fXr1dGkqJ2MyJmMWPKaZmRmmTp2KKlWqIDExER9//LHe0O/82tRx48Zh8ODBMDIywqlTp+Dr65tn+RiTMV80ZlkoY1mKCQAeHh4AgLt37+Lrr7+GVqvNtU+m+82k0WhQtWpV+XBESkoKvv76a5w7d67UxWNMxmTM0huzrNS1ZaGtBsrGNfsyMPlA/3m6H8+urq7o1KkTjI2NAQCbN2/GunXroNVq80xA6KYJadOmDdLS0hAWFoarV6/mGKtly5YYOHAgjI2Nce7cOSxfvhyxsbF5PhWouylXtWpVTJkyRU6J9M8//+RbNiEEzMzM5FP6165dQ1hYWL43ODUaDSwsLLB27Vr07dsXQgicPHkSu3fv1jtnualXrx7c3NwAAE+ePMHmzZvlOcnt5rxunzY2NujSpQuUSiVSUlLktEZ5naPiPq8lUcaSKidj/rdiZiWEgIWFhVwHxtfXF1FRUQWqI2xsbLBhwwZ069YNGo0Ghw8fxt69e+U2OdGVrV27drC1tUVMTAyWLVuGkJCQAj2RXbduXUyfPh0dO3YEAGzatAm7du0qdeVkTMZkzILHBDJGoDo7OwMAHj58iE2bNuHmzZsA8m9T7ezs0KVLF2i1WsTFxeH8+fN5xmJMxjREzLJQxrIUs02bNujRo4e8yfTtt98iISEhz76JbtRy7dq1MXHiRFSuXBkAcPLkyVIXjzEZkzFLd8yyUteWhba6rFyzhsbkA5UJQgiYmppizpw5GD58OIQQePr0KX7//Xd89913iI2N1ZtqKTNdUqJx48ZwdHQEAERHR+cYx8TEBD179oSRkRHS09Pxzz//YMeOHbmOlNDJfMNON63BsWPHEBoamufThAqFAmZmZhg3bhxsbGwQHByM+fPnyylecpN5yNnChQvRu3dvAMDGjRtlZZTXU8q2trb48MMP5dQwJ06cwNatW3Hp0iV5XHm9v3379vLmom60RV6K+7yWRBlLqpyM+d+KmdO+ypcvj4kTJ8LS0hL379/HwoULERYWVqA6wsjICIsXL0bnzp0BAOvWrdNbpD4nQghUr14dbdu2BZAxN+WePXsQFRVVoGNu0qQJBg4ciEqVKgFAvvFKqpyMyZiMWbCYAGBvb49PPvkETk5OSE5OxrFjx7Bt27Z8k/o63bt3R5s2bQAUvE1lTMZ8kZhloYxlKWb58uXRu3dvCCGQkpKCw4cPY9euXbn+psuqc+fOcHJyAgD8/fffiI6OzrNPVtzxGJMxGbN0xywrdW1ZaKvLyjVraEw+UJmQeU60Dz/8EFOnTgWQ8UT73r17sWzZMjx48ED+8M78RdRlRh8+fIj4+HiYmZmhbt26ucbq0qULPv/8cygUCpng+OOPPxASEiK3yakC1P2o7927NywsLKDRaKBWqws03YiTkxPc3d0BAPfu3cNPP/0kp0LIjS4Tamdnh+7du6NcuXIQQuDGjRsA8n5KX/cE5MqVK9GqVSukp6fjwIED2LhxI86ePQu1Wp3r+3Xn1sbGBgDw9OnTXKeKyqy4z2tJlLEkysmY/72YOWnYsCEaNWoEALhx4wZ++uknvWPIia6OqFy5Mrp27QojIyOo1WrcunUrz/cpFAqUK1dO3tyMjo7G77//jhMnTkCtVuf5XiEEFAoF+vTpg379+gEADh48KJN+pamcjMmYjFnwmBqNBpUqVcKKFSvQtGlTqNVq7NmzBxs3bsS5c+eQlpaWa5uqqyN1i+09efIEWq0236ncGJMxXyRmWShjWYmpe613795YunQpgIwpMbdv3449e/YgLCws27aZpaenw9TUFD169ICZmRnS09Oh0Why7ZMVdzzGZEzGLN0xgbJR15ZEzP96e1JSMV8GJh+ozMj8tP+7776LxYsXA8hYOPGff/7B+++/L6c2yTzPMQCkpaXh1q1bSExMRMWKFWUFlZXuy963b198/PHHsLGxwbNnz7Bhwwb8/vvvuHPnDoCMm3NZb0TrftSbm5sjKSkJCQkJiImJKVDZHBwcMHPmTFhZWSE+Ph7Hjx/H9u3b8fDhw2zHlpVSqUSfPn3g6ekJIGN6FyFEnpWu7lhr1aqFd999F53+f472Y8eOYfXq1di3b5/eU85ZkzkJCQmIjIwEkDF/nampaZ7JjpI4r8VdxpIqJ2P+t2LmpkaNGpg5cyZMTU0RGxuLo0eP4vfff0dwcHC2483KyMgIw4YNQ7NmzSCEkOtP5Ncxa9SoET777DM4ODggPDwcn332Gfbu3Zvj4lg6mc9F165dYW5uDgAFLntxl5MxGZMxCxZTV6fVr18f7733nhwZdejQIaxZswYHDhzQ+55nrhMVCgWio6Pl012enp4F+sHEmIz5IjHLQhnLSszMfYvhw4fj/fffR/ny5REcHIz169dj586d8onXnPpkuil7zczMkJqaiujoaCQkJJSaeIzJmIxZumMCZaOuLYmY//X2pKRivgxMPlCZoqucAGDs2LH45ZdfUKFCBcTHx8Pf3x9vvvkmvvzyS9y7dw8xMTFQKpV49uwZvLy8sGbNGmi1WvTu3VuuBZBV5pvLvXr1wrvvvosaNWogNjYW69evxy+//IIzZ87IdSZ0N+F0P9jT09Px6NEjGBkZwcXFRU47kh8hBNzc3LBmzRo4OjoiKioK27dvx6+//orAwEB5bDndGNA9iVynTh0AGQvEJiYmFugpfYVCATc3N8yYMQODBw8GAFy5cgW//PIL1qxZIxf8yVyJCyHw8OFDPHjwAADkehV53ZgvqfNanGUsqXK+jJj53fT6r5SzNMbMS6tWrbB69WrY29sjMjISv/32G7Zv3467d+/K482rjqhZsyaAjGnn8hvJoyu7h4cHRo8eDUdHRyQlJeGDDz7AunXrkJycnOt7dd+l+vXro3z58tBqtQgNDS2V5WRMxmTMwsVUKpVo1qwZZs6cKUc3+fn5Ye3atfjxxx8REBAgt9PRarW4e/eufKCioG0qYzKmIWIaKp5Wqy21ZSwLMTPvo1+/fpgzZw6qVq2K58+f45dffsG6devkIpw59cnUajWCg4OhUCjQrFkzWFtb59nfLe54jMmYjFm6Y2aO/arWtaW5HfsvtyclFdPQjIs1GlEp0759e+zduxfz58/HlStXoFar5boH5cqVQ506deDv74+EhATExcWhXbt2mD9/foH2bWVlhd69e6N8+fLYtm0b/P398ddff+Hx48e4fv06Ro0ahYoVKwL4N0P55MkTnDp1ChqNBrVr1y7wzUZdBdm8eXP873//w3fffYe7d+9i27ZtiI6OxuDBg+Hp6SkXs81coZqamgL498niOnXqwNLSsqCnEEqlEk2aNIGNjQ2qV6+ODRs2IDg4GHv27IGvry8GDBiAgQMHwsTEBCYmJjh16hS2b9+O4OBguLi4YOzYsQWOBRTveTV0GXU3mUtrOQ0VU3fDqiAdhVe5nKU9Zk7atGmDxYsX4/vvv8fDhw+xefNmREdHY+DAgfDw8JBr3+RUR8TGxgLIWIxd92/5sbW1xdChQ5GSkoIDBw4gODgY33zzDYKDgzF9+nQ4OjrKpHDmuEJkTAEXHx8PKysrqFSqUl1OxmRMxix4TCMjIzRv3hy2traoWbMmNmzYgEePHuH58+fw8fHB0KFD0atXL5ibmyM9PR2nT5/G1q1bERkZibZt22LEiBEFjsWYr0bMwvSPSqKchopX0L5RSZSxLMW0tbVFv379YGlpiW3btuHGjRvYs2cPgoKCcO3aNbz22muwtrYGkNEnS09Px4MHD3Dq1CkIIeDk5CT7bKUxHmMyZm4xC3Oz8VUuZ2mP+Sq3m6W5HSsL7UlJxTQEhSjudAdRKaKbVx0ANm3ahPPnz8Pb2xvp6el621WtWhWNGzfGsmXLcp1yKTdqtRo3btzAr7/+Ci8vLwAZawHY29tjxowZsLOzQ506dXDo0CGcP38eJ0+ehI2NDXbv3o3q1asXukwpKSnw9vbG5s2b4efnBwBo0aIFevXqhd69e8POzk52PHQNR1hYGBYuXIhz585h9OjRWLhwIUxMTAodOy4uDr6+vvjmm2/0FuypW7cuEhMTYW5ujsePH0Oj0cDe3h7bt29HjRo1Ch0HKPp53bVrl3xasyiKUka1Wo169eoVazmLev28SMx+/frB1NQUs2bNgoWFxX+2nK9azKySkpJw+vRpbNq0Cf7+/gAyRij07NkTvXv3RoUKFeSTLbo64vHjx5g7dy6uXr2KadOmYfbs2YXq8CYmJuLXX3/FwYMH5Wisli1b4rXXXkPz5s3h4OCgt31ycjI2btyI77//HrVr18aPP/4oR2eV5nIyJmMyZuHExMTgwoULWLFihd6UT3Xq1EFiYiKMjIwQHh4uk7Dbt29HhQoVCh2HMUtnzM8//xzNmjUr1pgvWs7CxmvRogUqVqyIt956q1BJupIsY1mJmZKSghs3bmDLli04cuQIgIw+WeXKlTFjxgzY2NigRo0aOHjwIHx8fODr64tq1arhzz//lOu6leZ4jFmwmJaWlnqzI/wXy7lq1Sq4uLgUa8yydA0VNSbwarSbr2I79l9vT0oq5otg8oFeaYXJvOYmcwIiLCwMISEh2L17N1JSUpCUlAQ7OzsMHToUNWvWfKEKKSIiAl5eXli+fLlecsPU1BSWlpZy/YDy5ctjzZo18PDwKHKstLQ0XL16FTt37sT+/fsBAI6OjnB1dcX48ePRokULue39+/exb98+rF27FsbGxvj111/h5ORU6CRLZmq1GsuXL4e/vz8CAgL0yluuXDk0b94cb731Ftzd3eVnWNTPsqDntVy5cvj666/RvXv3Ipcrs4KU8e2338bly5fx008/YdGiRRg0aFCR4xW0nBYWFvjxxx+zXT+Zr3NDxyxfvjx69+6NP/74A46Ojli/fn2hbxQXpZw//PADWrdurff+olxHhSnn6tWr0bp16xeue4qzPsiJWq3GlStXsGPHDhw8eBBARh3RqFEjTJo0CU2bNpXbBgYGYseOHdi+fTtsbGzw+++/F+rzzXyuDhw4gP3798PHxwfp6emoUqUKPDw80LFjR/To0QMAcPv2bZw9exbfffcdNBoNlixZgtGjR5f6cjLmqxGzsN/dV7WcLzvm77//jt9//x3W1tbYsWNHket8neTkZCxfvhw3b97EtWvX9KZwsrGxQfPmzfHee+8VOZFflJjNmjXD3Llzs8UsSnta0JjNmzfHnDlz4OTkZJA+bkFj6s5tYZ+kfJGYdnZ2OHLkCD7++GP07Nnzpca0trZGixYtsl1DL/uztLa2xt69e1GnTh1s2rQpW6Ld0DGbNWuGd999F05OTgDwwn3sgpZTd81m9rJjGqo+EEIgIiIC+/fvx4oVK/SeDDcyMoKVlZUcHW5vb49169bB2dn5lYnHmLnHfOONN9C3b1/Y29sXW8ySKGfHjh1x8+ZNLFq0qMi/J16FchZ3TDs7O6xfvx4qlarY2uribDdLsh3L2vdie1K6YhYVkw/0yvHy8kLFihXlTUdD/FAqSIWmVqv1Mr1F/cFy584dbNu2DQ8fPpQjE4CMUQj9+/dH37590bFjx0LvNyePHz/GgQMH8MMPP+jd4OzVqxeMjIxgYWGBs2fP4unTpwCAypUrw9bWFra2thgyZAh69+6NcuXKFSpm5vNy//59RERE4Ny5c9BqtTA3N0erVq1Qt25dOdQr63ktauOS13lt1qwZrl+/jr59+2Lq1KnyJklRYxW0jJcvX8Zbb70FAPjkk08wbNiwF+6cFOT6ady4MUJCQpCcnAxbW1vUqVOnyD+uCxKzatWqWLt2rfx33c3iF+koFKScHTp0AAA8f/5c74dDUeuEwnw3U1JS9L4bxRHzZQgODsb+/fvxww8/6HVWevXqBSCj03Lt2jU8fvwYALB69Wp069at0HEynx9/f3/8888/2LdvH8LDw2FsbIz09HQ4OTlBrVYjPDwcaWlpSE9Px+uvv44PPvjglSnnqxZz5cqV6NOnT7HGLIlyTps2DfXq1cOAAQOKLeZ//RrSzRub9RoqSt8o83sePHiAsLAwXLx4ERqNBuXLl0ebNm3g4ODwQjeIihKzevXqUCgUiIuLQ0xMDMzNzV/ox2lBY1pbW0OhUCA1NRVmZmby/UVpUwsSUzeKU/f9eNF+dUFiXrx4EcuWLQMAfPPNN+jdu3eR4xU0pomJCZKTk5Gamgpra+sX+vFdkHi+vr748ssv5Xu+/vpr9O/f3yB9z7yuH3NzcyiVSkRHR+tN11iUz7WgMXVPUCYnJ8Pc3Pylx6xWrRpsbW313qeL9SJ9z5s3b2LHjh24f/8+Ll26JP/d3Nwcffv2xaBBg/Qe4HpRecXr06cPhgwZgubNm2d738sqY04xDfE7O7/z2rdv32wPE72o/GLa2Nhg/fr16Nq1K7744gtYWVm91Jgl8Xn27dsX1tbW2LBhA5RKJebPn48JEyYUKU5BY5a267Y46oPiaqtLot0sqXbMxsamRNsTnf/aNTt48OAcv5vFhckHeqVcv34dw4cPR/Xq1TF79mz0798fwIs9uZSV7gsfExODe/fu4cCBA4iKikJ6ejpcXFxQv359tG7dWm+oUkErCV2lolaroVarcf36dSQnJ0Or1aJatWpwcnKSq9EXZr/5uX79Oj799FM8ffoUkZGRevsH/l1U0sjISC8bPGjQIEyfPh21a9cu1DnOq3FISEjAs2fPsGfPHkRERECtVsPNzQ1t2rRBvXr19BrvgsrtvGo0GlSqVAmzZ89GWFgYbG1t0bx5c0ycOFH+eChqpzq/9wUGBmLw4MEQQmDs2LGYPXt2odbSyCtmbtePubk5fv/9dxw5cgTh4eHyyfIKFSpgxYoVqFu3rsFjarVaDBs2TO8m1fjx47Fo0aKXVk5bW1tcunQJf/75JyIiIhAREYE2bdrA1dUVQ4cOzbUD8SIxHR0d8fz5cxw8eBAhISEIDQ1FvXr1YG1tjYEDB+pNH/ay6oPMDPE0Y2ZXrlzB559/jtDQUERERGR7vVq1apg2bVqR5sLUyXyscXFxePToEVavXo0bN27IkR46Tk5OaNu2LRYuXJjt/S/yQ7gw5SyJc1ucMXv27Ilbt27hnXfeQZMmTV56TEdHR0yfPj3bnLEv+/Ps2rUrtmzZgjp16mDt2rUvNO1eQWNOnToVI0eOhBACQogXvnFTmq4hXV1vYWGBWrVqoVKlSnB3d0ft2rXRoUMHvXauMMeS13Vw8eJFeHt7Y/jw4ahWrVqh912UmA8fPsTRo0exc+dOxMbGIj4+HlWqVEG1atXw3nvvwcXFpdAPZ+QXMzY2FkFBQdi7dy+ioqKQmpqKVq1aoVWrVnByciryVAd5xfT29saUKVNQt25djB49GqNGjZJ9wRe5bvN6//nz5+UNsDfffBNTp04tUt+voDEDAwOxc+dOHDx4EPHx8XJazGrVqmH58uVFnv6zoGXUeeutt+QDKUWVV8wnT57gwoUL2LVrF2JjYxEVFYV27drB1dUVI0aMgKWlZZG+N/lds8+ePZN9o/DwcKhUKlhZWWHYsGFwdHSU2xqqPtDRaDSIjY1FWloaKlSooPf9KMr1qzu+1NRUaDQaXL16FWq1GkDG/NqNGjWCkZGRwerYvOLVqFEDjo6OSElJweXLl/H06VNUrVoV1tbWaNWq1UuLWatWLSgUCiQkJCA1NRUVKlR44d+l+cWMiIjArl27MHXqVDRo0KDIcQoTMywsDBMnTgQAzJ49G1OmTCnSdMOFiWlnZ4eYmBicP38e4eHhqFOnDuzs7F4o6ZJfzJCQEEyePFlu365dO6xbt+6Fzm9BrqH09HQ8evQIERERqFu3LszMzGBnZwfA8N9NXUylUonU1FRERkaiYsWKMDY2LnKbmV9MW1tbCCGwf//+Ymuri7vdzBpT52W2YyXVnqSlpSExMbHY61pdmYujDdPFNNT90qJi8oFeKVevXsXIkSNhZmYGGxsbjBkzBlOnTgXw4k9mZL0x9v7778Pf3x/h4eF629nY2MDGxgazZs2Cp6enfKqooJVgftslJycjIiJC3iAxVAcsJSUFp06dwt27d3Hy5EmkpaXh0aNHSElJgZWVFerWrQsnJycEBwfj2bNncjREhw4dsHr16hdqwHXi4uLwxRdf4OLFi3pz7wFAkyZN5MLNRblJn9d5+vzzz/Hrr79Co9HAxMQETZs2xZgxY+RwRUNNM6A7jtjYWAwcOBBhYWHo0aMHlixZYpDFgnX7z6mcMTExmDRpEgICAgBkTN+ja3Csra3x4Ycfom/fvgaPqStn3759kZaWhiNHjsDFxQWbNm2ClZXVC3dus4qNjcW7776LmzdvyiGEOhUrVkSLFi0wf/78Iq2PkFvM+Ph4fPbZZ/D19cWzZ8+yvW5hYYFJkyahffv28iZuQa8pQ/2I1SlKIlZ3DImJifDx8UFgYCDOnj0LrVYLS0tLeHp6olWrVnrTrhiSn5+ffBLF2toaNjY26NatG6pVqyZ/9KakpMDIyOiFfhwWpJweHh7ZbsS/SKKnIDFVKhXs7e3h6uoKwHBtWV4xa9eujXnz5iE1NRVz5szB5MmTc010GSqm7twmJCRAo9HA1NRU74mmlxGzVq1aWLRoEZKSkgAAy5cvR79+/YqlnDl5kR8TpSFmSkoKQkJCkJqaipSUFL33WFtbo2LFinj77bfRsmXLQveNchMbG4v+/fsjJiYGI0eOxNChQ+UT64auP3WePHmCOXPm4O7du0hJSZHtqa4esLGxwZw5czBq1CiDHUdISAi++uorXL58GWFhYXqvubu7Y9CgQRg4cGCREh65EUJg+fLlWL9+PZRKJRwdHdGvXz9MmDChSEn8gggODsbAgQORnJyMYcOGYd68eS913uHHjx9j8uTJss9pbm6O5ORkABnTD3zyySfo3LmzQWNmLuOoUaMQEhKCU6dOoUWLFli/fj1MTEwM1ufUefLkCebOnYt79+4hISFB7zU7Ozt4enpi/vz5LzxdRmYhISFYtmwZLl++rPdgk461tTUmTJiAdu3awc3NDYBh2rfo6GicOXMG+/fvR1BQEJRKJYyNjdGpUyc0aNDghaY4zem7HBQUhA8++ACDBg1C3759YWpqavAERFYRERHYuHEjTp48iQcPHgDImNI1JSUFw4cPx/jx41GvXr0iHUNuMePi4uDv748dO3bg0aNHSE9Ph5mZGUaNGoVmzZq98FRTOcV89uwZunTpAgDo2rUrxo0bJ6cFMuTv+sweP36MAQMGvJQ6KLeYoaGh+Oqrr3DlyhWEhIQA+PfznDt3LsaMGVPkur0g5bS2tkZcXByqVq2KnTt3vvBv0txiRkZG4s8//8Thw4dx584dpKWlwd7eHu7u7ujevfsLjT7N67q9fv06/vjjDwQHByMyMhLGxsaoV68e3Nzc8Prrr8PS0rJI9zFyihkaGoovv/yyWNvq4m43s8YsjnYsNDQUn3/+ebG3J5GRkcVe10ZFRRVrG1aaMPlAr5S0tDT069cPjx8/hlarhbW1Nfr37485c+bA0tKySJVQeno6jI2N5fQ/QghMnDgR58+fh5WVFaysrFC7dm0olUqcP38eWq1Wjg4YPHgwevfuDU9PzyLfnM9aSYwePRo2NjaYMmWKXEzoRSuSrDckExMTMWvWLPj4+MDFxQUzZsxAhw4dZAb9yJEj2L17N86cOQOtVosxY8Zg0aJFUCqV+R5H5mPN+nlMmTIF3t7eMDc3R/ny5VGtWjUkJSXh7t27AIB69erhq6++kjfhXkTm49i/fz/mz58PpVIpj8nZ2RlDhw4t0lN+eZURyPgML126BDc3N3zxxRcFGnFQ1AZUdyyTJk2Cj48PatWqhVatWqF58+ZITEyEt7c33NzcMH78eFhYWBikUdLtQ1fOxo0b46uvvoKXlxdWr14NY2NjbNq0yaBD03Uxx48fjwsXLsDGxgaVKlWCs7MzNBoN/v77bwBAhQoVMG3aNEyYMMFgiTvdua1QoQJq1KiBhg0bwsLCAqdPn0ZSUpL8IdGmTRv07NlTdjpf5GZ1Xq9HR0fDx8cHsbGxSE1NhZubGypWrFikkS06WeuIpKQkmJiYID09HTt27ICTkxNatmxpkCRkbjGzvnb58mUcOHAA9+/fx7Nnz1CvXj04OztjypQpclqSF42ZuZzm5uZITU3FmTNnEB0djZSUFDRp0gS1atWSnfwXHUqdNaZCocDIkSPlQu26qcQMOe1J1phKpRJDhgzB/fv30aZNG3z66ad6TxO9jJjGxsY4fPgwjhw5gvv37+P58+dyJOHcuXOLfF3lV87BgwfjwYMHcmqvOXPmYNq0aS+tnGZmZnjw4AEOHTqE0NBQhIaGon379qhXrx7atWsH4MWHjWeNaW5ujvT0dJnECwkJgUqlgrm5+QutiZM1ZkxMDCZMmIDAwEDY2NjA3t4eVapUgYmJCc6cOSPfAwDDhg1Dnz590KpVKxgbGxeoXsutTU1KSsLEiRNx9epVlCtXDl27dsWIESPkDaqi1vO5xVSr1Rg+fDhu374t63sPDw+kpaXh9OnTePDgAUJDQwH8O/2AIWKOGTMG165dg4WFBezs7FCxYkWkpqYiMDAQAKBSqfDNN98Uup7Pr7/i7e2NN998E2lpadBqtbC3t0eXLl0wefJk+WReYc9xbjFTU1Nl3dO2bVt88sknedY9hRkdlVNMtVqNUaNGISAgACqVCi1btkSzZs0QHR2N8+fPo3nz5hg7dmyRnmYvSBnbtGmDzz77DBs2bMDWrVthbm6O7du3F/kmbl7Xz4gRIxAYGAg7OztUrVoV9evXR1paGry8vABkJFpmz56N4cOHF6qsecXUnVt7e3vUrVsXDRo0gKmpKc6cOYP4+Hj5PWnXrh169+6N/v37F+jGfV7XrFqtluupxcXF6b1PV8+3a9cOkydPRsOGDWUS7UX6gx988AF27tyJJk2aoF+/fujfv/9LS84BGWWcMmUKfH19AQAmJiawsLBAbGys3KZFixb4+OOPUbduXYM8QKVWqzF//nxcvnw520N3ZmZm6NatGyZNmgRXV1eD3tx68uQJ+vfvj+TkZBgbG8PNzQ1jxoyRU/kZ8uEwoPB1kCGo1Wq8/vrruHHjBpRKpVzbLTIyEpUqVcLYsWPxxhtvGPSGYeZydurUCV27dsVnn30GExMTrF692uDryAEZ5Zw2bRouXboEtVoNpVIJpVIp+4BVq1bF1KlTMXz4cIPGnD9/Pnx9feUIahMTE6SlpcmHBZo0aYL+/fujY8eOcpRbUa/hkmiri7vdzBqzONqxkmxPSqKuLe42rDQp+mNuRMVMo9FAoVDIG8UKRcY8vPv27UNERATmzZtX6EZF1yBGRUVh5MiRWLJkCby9vXH+/Hk4ODhg7ty58PDwQOXKlQH8u8iiv78/AgMDsWfPHjx8+BCPHz9G37598+yMZq2wdD/sMx/nxYsXcenSJZiZmUEIgeHDh6NLly4vPL1K1ht8f/zxB3x8fGBvb48FCxagZcuWsvI3NTVFjx49oNFocOHCBaSkpMjpYPIbkZD5ZkVsbCxsbGzkcS9duhTe3t6oVKkS3nnnHbRt2xZVqlTBnTt3cPLkSfz000+4f/8+1q5dixUrVhT4CeeCnFfdAk3Pnz9HpUqVEBERgYCAACQnJ+P58+cYP358gZ8gyKuMALBw4UJcunQJVatWxYIFC2TnI6fPL/O+Mpchp23zKuePP/4IHx8fVK5cGR999BGaN28ub+b169cPxsbGsLCwAIB891vQmJnLuXDhQtSpUwddu3bFr7/+iujoaPj6+qJFixaFbqjzivn555/jwoULcHBwwMKFC+Hh4SHXDhk5ciTefvttREdHY//+/Rg+fHiBF03PK+Ynn3wCHx8fODg4YMmSJWjVqhWsra0BZEwv5e3tjX379sHPzw8+Pj54+vQpnj59ijFjxsh6o7Ax8/Ljjz/izJkzuHLlit6/Ozk5oWHDhpg5cyYcHR3l51/QeiNrHaG7Xo4ePYovvvgC9erVw+zZs9GuXTv52ovKHFP3HISurlu+fDmOHTsm57IHMp6KOXPmDM6fP4+3334b7du3L3S9mFs5jY2NsXXrVpw+fVreSNXJvMZIUTqdecX87rvvcPv2bZiZmWHVqlWIiIjA0KFD9RKlRZFXzOnTp+P+/ftwcnLC/PnzDfbDO6+Y77//Po4eParX0fbx8ZEJ8AEDBhj83E6fPh0PHjyAk5MTlEolbt++jWPHjmH06NEwNzcv8tDjvGKuXLkSp06dwp07d+Tr3t7eqFOnDnr16oWZM2cWafROXjE3b96M06dP4+zZs3rbGBsbw93dHRMmTECjRo3g4OBQqL5E1piff/45AgMDUbduXbz77rt6deHNmzexa9cuXL58GXfu3MEff/wh+0Z9+vTJcy7tzA+ApKamwsrKSu/Hs4WFBTw9PXH16lWkpKTg4MGDiImJQXR0NLp3716kG8d5xXz//fdx+/Zt1KtXD++//75ee9qrVy/s2bMHW7duRVRUFNasWQM3Nzd5k76oMefPn49r166hdu3amDVrFtq2bQtbW1vcvXsXR44cwc8//4zbt29j3bp1+OSTT7LVnbmVPa+YOo0bN4ajoyMePnwIIOPJ1cOHDyMmJgYTJ06Eu7t7gW9k5Bfz7bfflnXPvHnzZN2TUxl0+wHy7x/lFnPlypUICAhAnTp18NFHH8HNzU2eu759++rVA1n3WdTzmrWMVatWRY8ePbB3714kJibCz88Pzs7Oha7f87tmdd/NefPmwcPDQ9YRAwcOxOzZsxEZGYn9+/dj4MCBBU725hVz0aJFCAgIQL169bBo0SK0aNFCPuk7evRo+Pj4YPfu3fD394e3tzeePn2KJ0+eYOzYsbLfVtiYAPDOO+/g5MmTsLe3R/PmzdGxY0ckJibi3r178PHxAZBR5z548ACDBg1Cz5495WKweX2mWZOtmT+fJk2aYOfOnbh69SoiIyMRHR2NIUOGyBG2hngoIXO8d955B76+vnB0dETHjh3RtWtX2Nvb49y5c7hw4QLOnj2LixcvYv78+Vi/fn2Rfr9kjfnee+/h6NGjqFixIlxdXdG5c2fcuXMHT548QUBAALy8vFC5cmW4uroWqqx5xdRoNPLBmZs3byI9PR1XrlxBQkICIiMj8dprr8HExKTQ5zevmLnVQXkpSPy8Yi5YsAA3btxArVq1MHToULRs2RL29vY4fvw4jIyMMGDAACgUCrmPgpa3oOV85513ZB0eHx+PAwcOwMPD46Vct+fOnYODgwMaNGiA7t27Izk5GefOncPJkyfx+PFjHDlyBL179y7UDAf5xTx+/DgcHBzQs2dPdO3aFRYWFvD398etW7fg5+eHq1ev4vHjx7h27RqGDRuGVq1a5dum5RazJNrq4m43S6IdK8n2pLjr2pJow0oVQfSKGT9+vFCpVKJNmzZCpVIJlUolmjZtKl5//XVx8eJFuZ1GoynwPvv37y9UKpVo0KCBaNmypXB1dRW7d+8WaWlp2faXmJgojh07Jt577z0Zv0ePHmLVqlXi6dOnOe4/PT1d/n3mzJkc/10IIVJSUsTQoUPlfkeNGiV2794tkpKSClyWvKSnp4vU1FQxZ84c4ezsLD744AMRHx+vt41Wq5V/f/LJJ/JY/vrrrzz3nfl98+bNE6+//roIDAwUQghx4sQJ0bRpU+Hq6ip27twpUlNT9d4bEREhZs+eLVQqlRg0aJBITEwsUJyCnlchhJgxY4ZwcXERmzZtEt98840sV8eOHcUHH3wggoKC5La5XTt5lVEIIdasWSNUKpVo1KiR8PLy0ttet8+QkBBx/vx5sWTJEjFhwgQxc+ZMsWDBAnHixAkRHByc4zHkVc6oqCgxadIk4eLiIlatWiVSUlLksWq1WrmftLQ0ER8fLy5evCjOnTsnfH19RWpqqt6+C3puM5fz0KFD8rXnz5+LHj16CJVKJXr37i2eP3+e43nMTV4x/fz8RIcOHYSrq6v47bff9K4hXRl//PFHoVKpROvWrUVISEiucQpazlOnTsn6YOfOnbI+yHxeU1NTxenTp8WYMWPkNdW6dWvx4YcfigcPHhS6nHn5+uuvhUqlEi4uLjJO586dZVyVSiXat28v1q1bJ+7evZtjefOTddtbt26J5s2bC5VKJVq1aiW2bdsmoqKiCry/osT84osv5PXVqVMn8dZbb4np06eLTp06iSZNmshyXr161WAxV65cKVQqlXB2dhYqlUo0a9ZMtGrVSp7XSZMm6X0/DRFTCCH8/PxE8+bNZdxevXqJn376SdaBhfnsChLz008/FSqVSnh4eAhvb+8X2ndBY+o+z6ZNm4rBgweLxYsXi1mzZolu3bqJhQsXvvB5zSmmrpytWrUS586dk9+d9u3biydPnrxwvJxi6srp6uoqGjVqJHr16iV69+4tr6HOnTuLPXv2CCEK1z/JK+aKFStkzGbNmonBgweLkSNHCldXV+Hm5ib7Sh988IE4d+6cfF9h4mu1WuHj4yM8PT1F06ZNxeHDh/Xerzum+Ph4cfToUfHOO+/IMvfu3Vv89NNPIjQ0NMd9Z97P1KlTxfjx48W9e/eybbdlyxahUqlEw4YN5b5Hjhwptm/fnq0Pk5+8Yh46dEg0bdpUNGvWTBw5ckSWLT09Xa+cEydOlHXU4cOHXyjm/v37hYuLi2jWrJnw8vISarVa772hoaHijTfeECqVSowZMybb65nl1OfIKWbmbdLS0sSbb74p6x8PDw/5fR0/frw4evRojvssbDkz1z2nTp3K8ZiDg4PFP//8IxYsWCBGjRol3njjDbFw4UJx/Phx8fjx4xzj5BYzNDRUvPbaa8LV1VVs3LhRnjfd9pnb8OfPn4tz586Js2fPCh8fH6FWq/X6/wU9r7nVryEhIaJDhw5CpVKJwYMHi7i4uDzPY2HO64kTJ4SHh4do2rSp2L9/v14/RXfcuvqvW7duIjo6Otc4BS2nl5eXaNKkiWjatKnw8vKS22b+nqSmporjx4+LkSNHyu9s27ZtxSeffJJrnZ/fNfvzzz/Lev3w4cPZ+phHjx4VixYtEq1bt5bX8Lvvvit8fHxyLKNO5r7XyZMn5d+6c3n9+nW9+sfDw0MsXbpU3Lx5M8/95ia3eOnp6WLt2rWyjMePHxcJCQl677106ZIYM2aMcHZ2Fq6urmLbtm1CiPy/m3nFXLVqlYy5f/9+ERERIYQQIiEhQfj7+4tp06bJftGjR4+y7Tu3sucVMzNdmV1dXfV+V69YseKFfkdkjZm5X5D5+5n1+FNSUkRsbKyIj4/P1t/N6TznFfPPP/8UKpVKtGjRQhw/fjzb79+C/L4vzDWbUzm1Wq1Qq9Xyd8ro0aOzHUdBFPS6PXz4cLZ6JvP9hJzq/6JcQz/88IOMeezYsWz16q1bt8SqVatkfdCoUSMxZswYceDAgWzxCxJz7969xd5WF3e7mTVmcbRjJdWelERdW9xtWH73FUoCRz7QK0P8f7ZPlwkdMWIEmjVrhrfffhvJycm4fv06PvroI8yYMQN9+vSBUqks0PznT548wf379+X/JyYmwtraGg0bNtSbA1u3+ryFhQW6du2K+vXro3bt2vjll18QFBSE33//HWlpaRgxYoRcEFFHdwwrVqzApk2bMGnSJLz55pt6Tx8JIWBqaqqXVdU9ARIdHY2BAwfC3t6+SOcs83FER0fj5MmTEEKgdu3a2Z4+yPw0gG7hLwByDYjc6OIsX74c+/fvh5mZGebMmYONGzfKuUOdnJz0niLUHZ+9vT06dOiAQ4cOwcHBAU+ePEFISAhu3ryJ+Ph4dOzYEVWqVEHt2rX1Mr8FOa+6a0ClUuH48eM4ceIEVq9eDWtra3z11VcIDQ3F4cOHER0djcmTJ6NJkybys05MTIRSqcw2aiBzGd99911s2LABfn5++O677wAAs2bNkkOGgX8z77du3cKXX36JW7duySF9uiecz5w5g8aNG2P48OHo2rWrPIb8yhkbGwtfX19oNBrUqlVLTp2lO1aFQoHk5GR88cUXuHbtGgIDAyGEgLGxMWrUqIFBgwahdevWcHNzK9C5PXr0qCznggUL0LVrV/lZVqxYEb169cIvv/yCyMhIXL9+HR07dixw9j2nmDNnzoSZmRlCQkIQFRWFcuXKoWHDhnqfsa6sTZo0gZGREZydnfH8+XMEBQXh3r17iIuLQ+vWrWFvb4/q1avrXeN5xXzy5AlSUlJgbW0NZ2dnWR8oFAp5rkxNTdGuXTsEBwfDz88PQMZcjn///TcUCgXGjRuHOnXq5FvOrNdtVrt27cK6desAABMnTkTbtm3h4uKCxMREnDp1Cl5eXnjw4AHCw8Px7bffIiAgAAMGDEDHjh3zfFoi62eT+ekrrVaLypUrw9bWFgkJCYiNjcVnn32G8PBwjBo1ClWrVs33M82Jbv8hISGoWLGiHOmlUCiwa9cubNy4EUDG96hLly6oX78+gIz68MCBA9i/fz/Cw8OxePFi/PLLL6hSpUq+MfMq5++//461a9cCAMaMGYN27dqhYcOG8Pf3x9GjR/HXX3/h7Nmz2Lx5M95///0ClzOvmDqOjo6wsLCQc3Q/fPgQO3bswPPnzzF58mQ5P3dun19hYm7btg1bt24FkDFCK+uUPPl9T4tyDR08eFB+nnPnzkWXLl3kdXP79m2UL18+16dHCzMqK7dyLlq0CJ6enlAqlfjtt98QHh6Ov//+G1OmTCn0+ih5xcx83b7xxhto37493NzcEBcXhx07duC7777Ds2fPcOjQIQwaNKjATyPlFXPnzp34+eefAQAzZsxAx44d0ahRIwDAuXPncPbsWXh5eSEkJAS7d+/GgwcP8OzZMwwePFivfSlIzNDQUERHR6Nq1apQqVTZXhdCwNLSEt26dUO9evVQs2ZNrF+/Hg8ePMBvv/2GtLQ0DB8+PNt887r9LFq0CKdOnYKpqSnmzZuH9evXo0KFCtmOzdTUFB06dMCRI0fg7++P+Ph4REdHY/DgwbIeyO+7klPMuXPnYsOGDXjw4AHUajWaNm2KRo0ayf3orhPdOhvTpk3DlStXkJycjMOHD6NHjx55Xq95xdSNOFCpVGjatKkcGaMrh4ODA9q0aYPTp0+jSpUquH//Ph4+fIg7d+4gISEBXbp0gaOjo1woVve+gpxb3bQYvXv3xvHjx1GvXj1Mnz4dH3zwAQICAuDn5yefQh45cmSu/Wpd2XOL2aNHD2zduhVKpRJz5sxBhw4d9Ea3GBkZ4cKFC/j2228RGBgo12QwMjKCRqOR/aPXXntNjkDLr5xz587F5cuXAQB16tSR51W3vVKpxPPnz/HVV1/B398fQUFBADKu5/r166Nfv35yseaCnNdevXrlWL8KIVClShV06dIFv//+O0JDQ3H79u1CjQzN6/p5+vQpYmNjYWdnp/e7RXfMAGS94OzsjKdPn8Lf3x+PHj1CXFwc2rdvj8qVK6NatWp6faO8YgYHByMtLQ0ODg569UHm60L3Xb137x78/f0BZIyqOXjwIJRKJcaOHZttoe+8rlm1Wo3Tp09DoVBgzJgx6Nixo+zv6q7Jbt26oWHDhmjWrBm2bduGwMBAeHl5ITY2FomJiejUqVOOaxvpjnvx4sU4cOAApkyZgjfffFNuW6lSJVSsWBFRUVEwNjZGTEwM9uzZg9jYWAwbNgytW7cu0qiyrPEePnyIgwcPAgAmT56Mtm3byn6hrozNmjXD+PHj4efnh/T0dBw/fhyjR4/O9zrKLebdu3fx119/AQAmTJggnxwXQqB8+fJwdXVFly5dcPLkSSQmJsq15NLT06HRaGBmZibLnNNvzpxiZq0/6tWrByBjEd82bdrIedD37t2LqKgoTJo0Kc9R5AUp59atW+X3c/HixXoLyerqoAcPHsDf3x9btmyRi8BqNBr069cP7u7u6NKlC8qVK5fte5tTzJkzZ8LIyAiBgYEwMjJCu3bt0LRpU/l56qZvNjc3h1qtxrNnz3DhwgU8f/4c5cqVQ40aNdC8eXPY2NjkOBoit3Ju375dr//Tpk0bKBQKmJiYwMPDA35+frh48SIOHjyIQYMGFWr0Q24xnz17huPHj0OhUGDo0KFo27atHHmu+/07YMAA7N+/H3FxcdnaOACFvoYePHggp9sdNWoU2rZtK+8P6b4rzs7OqFChAtLS0rBlyxYkJyfDz88PSUlJSEpKwqBBg3IciZo15uTJk/HWW2/JNqK42uqSaDeLsx0zMTHBvHnz0L59+2JvT54/f17sdW1kZGSxt2Elvbh0Tph8oFeGQqFAQkICnjx5AiDjBl/79u2xd+9eTJ06FUFBQXj48CGWL1+OsLAwTJw4UVbAuX35hBCoXr06zpw5g9GjR8PR0RFnz56FhYVFjkMxMzcWtWrVwrhx41ClShV8//33CA8Px7Zt22BmZobJkyfDzMxMr0I+c+YMfvnlFwDA2rVr0bBhQ/Tq1Svb/mvXrq03fcLdu3fx22+/ITo6GsOGDUPt2rXlsefXYdBtc+DAAfj6+mL+/PlITU1FuXLloFarc53HXHfMHh4ecnE+3Q/kvKjVatja2sLS0hIJCQno3r07HBwccO7cOaSlpcHS0lJvDsTMMXXJDX9/f8ycORMxMTHyhtyOHTvQunVrDBgwAD179tR7X37nVffZ9+7dG7/++itCQkKQnp6OSZMmoUaNGnj//fcRExMj5xQcM2YMunbtivj4eKxatQrGxsaYOHGinEInaxm7deuGSpUqITY2Vi5Kefz4cfTp0wfVq1eXHa+wsDDMnDlTrg9gb28PW1tbREREID09Hc+fP4e3tzeCg4MRFRWF4cOHF6icoaGhEEKgXLly8qae7genQqFAWFgYFi1aJIfyZf6MHz58iJ9++gm+vr4YPXq0nOIrt5jm5ub49ttvAWQ01kOGDNH7oQsAbdu2xYYNGxAXF4eNGzeidevWhZrPPbdyXr58WS5clnWKC13sZ8+eQavV4ubNm3j77bflDXMAWLduHdq2bYtevXrJ5GR+MX18fOT3xMnJKduxZq4PRo8eDS8vL1y7dg22traIjIzEvn37YGNjgzfeeAPly5fX+54VpD7QefjwoUw8vPXWW5gwYYJMGtrY2OC1116Dp6cnjh8/joMHD+LmzZvw8vJCeHg4oqOj0atXr1wXPtOdh23btuHBgwdYsGCBXgLL2toa9vb2ePLkiUyUrV27FuHh4Zg8eTLq1q1bqGGduvr4xo0b+OCDD9C/f38MGDAAdnZ2uH37Nn788UdZzjFjxuhN8eTu7g4bGxtcuXIFAQEBCAsLw507dwqUfMitnLdu3ZLJNN1aIbobc926dUODBg0QHx+PU6dO4ebNm0hKSirwtFN5nVsg43vq6OiIVq1a4cCBA7JOefbsGQ4ePCgTos7OzgW+sZFbzNOnT+PTTz8FAMyePVvvO6D7TNLT06FWq+Ht7Y1nz57BzMwMVlZWaNasGezt7XNdxyS3mLGxsdi/fz8A4PXXX8eAAQP0hjw3aNBAb1/R0dHy5rq9vX2e11VByjlnzhz07t0bAODg4IBy5cohKSkJ58+fx5QpUwrdKc8t5v379+V3edq0aZg0aZKcZqhixYqYMWMG4uLisGnTJly9ehXBwcGoWbPmC8UMDAzEqlWrAGQkHiZMmKA3zVzr1q2hUqlQs2ZNbNq0CQ8ePICfnx+ioqLkws25TUuXOeb9+/excOFCOZexhYVFjknHzNdnnTp1MHHiRFSpUgWrVq1CWFgYtmzZAnNzc4wbNy7bNBopKSmoVq2a7GsMGDBAfgd116aunSlXrhwmT56MOnXq4Oeff8b9+/fx+++/IyYmBsOGDYOTk1OBvitZYw4cOBBWVlY4deoUNBoNHBwcciyn7tzUrl0bpqamSE5Oxp07d+QaI3nJLaaPjw80Gg1sbW31+p2Zj1/X79VNAaBbkwYA9u3bB09PTwwcOBBdu3bVe19e5zazGjVqwMjICCdPnsRbb72F1atXY+nSpTh16hRu3LiBpKQkREZGYty4cXKqraioKERGRqJBgwZ6Zc8as1+/fnKBebVajUOHDqFTp05wcHCQ/aN79+5h1qxZclo2R0dHlC9fHhEREVCr1YiMjIS3tzeePHkiH8bJrZxJSUkYMGCAXGTewsJCL+mluzaCgoIwZ84cBAQEyM9Wq9XCxMQEd+/exdq1a3Hp0iWMGTMGHTp0yPO8uri4YOXKlQAy6p3M9avufZ06dcLvv/+OqKgobNiwAe7u7oWqg3K6fipUqIBLly7J5F/Wmy+Z+0YA4Ofnh+vXryM2NlbeqPr111/RunVr9O3bF927d8/zsxw4cCBsbGzg7e0NjUaDChUqyBvHWQkhYGRkhPHjx8PLywtBQUEwNzdHVFQU9uzZgwoVKmDy5MnZ5uzO7ZoNDQ3F/fv35YNTmdvSzDdnq1Wrhv79+6N27dpYt24dTp48CW9vb6SmpkKpVKJ9+/Y53nD866+/sHv3bgDAmjVr0Lx5c7Rp0wYAkJCQIM/XqFGjcPXqVVy/fl3eFIqJiUH37t0LtL5NXvEsLCzw+PFjmJubo1GjRnp958xl7NChA9zd3eHv74/bt28jKioqz6lH8oppamqKiIgImJubw83NTe9hK61WC2NjY/Ts2RPffvstLC0tERgYCB8fH5w6dQopKSmoX78+2rZti1atWuVYt+R1XnXatGmDOnXq4NGjRxg6dCg8PT2xePFihIeH4+jRo3K9oRYtWujV77md66wxK1SogC+++AIA0LlzZ7nosRACGo0GxsbGePDgAebNm4fg4GDEx8fL+wcA5JSc58+fx4wZM3JsG3IqZ9OmTXH69GnZpmQ+P7rvWUpKCubPn4+bN29me8ivXbt2aNeuHfr37w87O7t8Y5qamuKbb74B8G89lPk86dZtU6vVuHLlCgYNGlToaZdyKqeDgwMePHgAIQTq1q2r17fQtd1ubm6wsbFB+fLlERwcjKCgIFmP1KhRA23btoWbm1uBryErKyt5vurUqaP3Gydzverg4IBRo0bh6NGjcjHhmzdvYseOHShXrhx69uyZ42/UzDF//PFHuLu7F2tbXdztZkm1Y/3798c///xT7O1JUFBQsde1devWLbE2rDRh8oFeKcbGxrIhs7W1hRACtWrVwt69e/HWW2/h7NmzePbsGdatW4ewsDC88847OT6loKNQKJCeno6KFSvi77//xoEDB3D27FkkJyfj2bNn2ebz171Hx9raGn369IGFhQV+/PFH3L17F99//z3s7OzkU2I6VatWRf/+/fHXX3+hU6dOud5o1N1wb9myJXr06IFvvvkGT58+xR9//IHY2FgMHz4821PquVEqlTh37hzmzp0Lc3NzhISE4H//+5+ssI8ePYouXbrkulaFnZ0dLC0tkZycjEePHund1M6JqakpRo0aBXt7e1y/fh1z5swBAHmjNDExESkpKXqdBCEE1Go1wsLCAGQsahkTEwNbW1sYGxvDzMwMiYmJ+Oeff/D8+XOZGdaVvaDntVKlSrC2tkZQUBBOnz6NAQMGyOTI4sWLcffuXfmUX0hICJ4+fYqtW7fCzs4O48eP1yvj66+/nq2M3bp1w71797B3717cvn0bmzZtwpQpU1ClShVotVrMmzcPISEhcHV1RY8ePTBgwADY2toiODgYt2/fxq+//oqrV6/iwYMH2LVrF6pXr47WrVvLaze3ctra2sLExER+Ri1atJCdaQD4/vvv4ePjAysrK/Tp00eO7Lh16xbOnz+P27dvy2SXlZUVWrZsmWPMdu3aYe/evQAy5kqePHlyjjdhGzVqhFatWuHs2bO4c+cOLl68iDZt2hT4KePcyqlL/iQnJ+Px48fyaRZdA5yYmIiHDx9CCIHY2FjExsbC0dERaWlpsLCwQGRkJI4cOYJnz55Bo9Ggb9++8vuZW0zddZuamoqEhIQcb+Bn/h5aWFigUqVKWL16NT799FNcuXIFP/30E6pUqYJRo0bpfW8Ket0CGTcOoqOjUbFiRXh6euqd98w3/F5//XW4ublh69atOHLkCPz8/JCYmIjU1FT07ds31zlWDxw4gE8//RRWVlYICQnBl19+KRd0zvyERY0aNVCtWjX4+Phgz549iIyMxIwZM9C4ceMCz2NvZGSEhIQETJ06FVFRUQgJCYFSqcT48eNx7do1xMbGwsnJCd26dcvx+qpbty5mz54tO9x//PEHOnToUKDrK6dyXrp0CSkpKXByckL37t3lDx/dd6B27dpo2rQpTp48CWNjY6SlpSE8PBzBwcFITExEs2bNoFAo5LnNWifndm6Bf+vR1q1byzl4e/XqhQ8++ACRkZE4ceIEYmNjMX78eLRt2zbHkRMFifnGG29g6tSpADJGdkydOlVur/sOJSYm4vvvv8e5c+f01isAMuaEb968OUaNGpVr8juncqalpeH27dsAgAYNGsgb8lmfdNu7dy8uX74sr1dzc3O4u7ujR48ecHNzy3XEX9aY06dPx5tvvgkAeO211/D666/Lzn2tWrXQp08fbN++HdeuXcP58+fh6elZ6DlRcyrn3bt3ERMTA2tra7Rq1Urve6b7vBo3bqw32jAuLg4hISFISEhAo0aNoNVqYW5uXuBze/36dSQlJcHOzi5bnaCjG4kWFBSEBw8eQKFQ4P79+9ixYwfS09MxYsSIXNv+zDFDQ0PRvHlzABn9k9DQUNSsWTPPvpGtrS369+8v+0aPHj3C8uXLYWdnl+2GR7ly5TBx4kQ56nHChAnyNd1no3v4wdHREU2aNEHdunVRpUoVfPfddwgLC8Pu3bvlU8hZb1DlJKeYGo1G3jTJvNhgVrobSVWqVEFCQgKSkpLkTbq8FCRm1u+3bgRmZGQkAMgFNe3t7eWN8ri4OBw7dgzR0dEwMTHRezoyr3ObmaurK1q2bAkfHx9cu3YNI0aMwIoVK/Dtt9/KxNfu3bsRFRWFiRMnwtHREStWrEBAQABmz56NTp065VrOSZMm4cmTJ3j06BEOHDiA69evyxF/lSpVQmJiIt577z3ExcWhZcuW6NatG/r37w9LS0s8ePAAd+7cwaZNmxAQEIB79+5h586dqFmzJtzd3fMs58WLF2FsbIzU1FQEBwfD2dlZr8/w9ddfIyAgAA4ODujRoweaN2+OlJQU3L59G97e3rh79y7OnDkDpVIJGxsbNGnSRNYXmePduXNHLur8+uuv4/XXX8/xZlaTJk3g7u6Oy5cv4+bNm7h27Rrc3d0L3DfK7bOsVKkSgIw+0JMnT1CvXj25fpvuutI9sRsTEwMgoz6Mjo6Gqamp7BuFhIRAq9WiZ8+e+cbM3KdPSEjIsW+h++6ZmJigXLlycHR0xPLly/H+++/j5s2b+P7771G1atUC1weRkZGIi4uDsbGxPF+Z5zfPvA8zMzM0b94cFStWhL29Pf744w/4+fnJp2tdXV2znXcnJyf06dMHBw8exJAhQ/Ru2piZmcmbV3Xq1MHAgQOxatUqnD59Gt7e3oiLi0N0dDT69++f5/o2meUUb9u2bUhMTISjo6McrZK5jdKV0dTUFC4uLrhy5QoiIyNx+/btbCMZCxpz69atSEpKQqVKleQoU9250cX19fVFdHQ0YmJi8NFHH0GtVssFfS9fvoxz586hXbt2GD9+vOwjFOS86pibm8PFxQUPHz6Ej48P5syZA2tra3z00UeIjIzE2bNnER8fj9dff10+gBYTE4MrV66gfv362ZJuWWN6eHjAw8MDvr6+OHPmDH799VeMHj1a9nHj4+MxY8YMBAUFwdLSEiqVCvXq1cPz588RExOD27dvIygoSCbv58yZk21Ec07ljI2Nlden7ga0RqOBUqmEQqFAVFQUFi9ejBMnTsi+SsWKFZGcnIzk5GQ57/uzZ88wfvz4bLMqZI7ZrVs3+SCNrv+jqwN0142Hhwdat26NU6dOYdeuXejSpQs6duyY73WTXzlPnz6NuLg4mJqaynJkrmuBjAcLExMTER0djS+++ALp6elIS0uTr586dQoeHh4YP358thvQOcXcuXMnkpKSYGlpKZNBOdWlGo0GVatWRb9+/fDDDz+gffv2OHnyJG7cuIGtW7eiVq1acHNzK1B9sGnTJgDF01YXd7tZUu3YxIkTceHCBQDF257cuHGj2OvaGzdulFgbVpow+UCvlFu3bskn8HRDCdVqNczNzbF+/XosXboU27dvx/Pnz/Hnn38iPDxcLpQD5DxawNjYWFY4devWhYWFBaKiovDjjz/i888/z3dRJAsLC3Tu3BlpaWnYsGEDbt++jU8++QR2dnbo1q2b3K5+/fqYM2cOmjZtitGjR2fbT+abQUDGTdYhQ4bA1tYW33//PR4/fox9+/YhNjYWQ4cOzXc6FSCj0T116pTcX1xcHKpVq4b69evj6dOnuHr1Knx9fdGjR49s79Udh24RXLVanWcsXUfD0tISffr0waBBg+RrDRo0kJnqffv2YejQoXqV7Y0bN+QTsp6enmjTpg26dOmCpKQkXL9+HcePH8fZs2fh7++PvXv3okOHDrJRzO+8Ahmfe4UKFdC5c2ds3boVly9flk++uLm54ccff8THH3+M06dP4/r16wgJCZEdiI8//lgmEHSNkoWFBfr166dXRgcHB4wdOxa3bt2Cv78/Dh8+DJVKheHDh2PPnj3w9fVF9erV8b///Q+NGjWSI2NUKhVUKhU8PDzw5Zdf4uDBg7h27Rr279+P1q1by5i5ldPW1hbW1tZITk7GgQMHZDIMALy8vGQW/Ntvv4Wnp6dsqHr16oWQkBCsWrUKBw8exNmzZ+Hg4CAXH88ac9iwYVi+fDmcnZ0xa9asXDP/FhYW6Nu3L86ePYuoqCjs3r0bbdq0KfCTEbmVs1GjRjAxMUFMTAw+/fRTrFmzRt6UDAsLw+nTp2XHcODAgejYsSPatGmDqKgoed0dOnQIN27cwN69e9G2bVtZhtxi6p5OjoiIwNGjRzFy5EgoFIps3wGtVit/jEVGRsLR0RGLFi3CsmXLcOXKFXzxxReoVq0a2rdvn285c3Lz5k3ExcXB0dERzs7O2aY80TE3N0eLFi3g4OAAR0dH2fHcvHkzypUrh759+2a7QaZWq2XHLz4+HkIIeXNc17HRfddUKpVM2nh7e+PMmTOIiIjArFmz0KZNG3nzND/379+Hi4sLvL29ER0djS5dugDI+IGbmJiI8uXL642Qynqu69atK58G0j3Rmd/1lVs5dVOnmJqa6o1uyTw8WXczISoqCgsWLJCj7ICMzl779u0xYMAAOUKhIOc2s/r160OpVOL48eN46623sHbtWixatAhPnz7F+fPnER8fj8jISAwcOFBOh6XVapGYmAgbG5t8Y2Ye9aR7QkqpVOrdoHrvvfdw8uRJAJCJtOTkZGi1Wly/fh1BQUEIDAzErFmz0Lx58wKV89y5cwgJCZFPFgH6bXBaWhq+//57OWpAx8jICEFBQbh48SJat26NMWPGQKVS5fl5pqWlYf78+UhLS0OnTp0wffp0+bnpYjZq1AgajQZxcXE4cuSInI6poHIr59WrVxEXFwcHBwf5YEDmsgAZP2CUSqW8hnSjdgCgYcOG6NChA3r16oWGDRsW6NxeunQJiYmJsLW11ZseKCtra2tMmzYN//zzDx49egQACAoKwu7du2FjY4PBgwdn+4GZU0zddBFhYWFYs2YNPvroo1xHU+nopmFSq9XYtGkT7t+/j6VLl8Le3h7t2rXT27Z8+fIYPHhwtvpJV67M0wkkJCTAysoKgwcPRqVKlfDNN9/g/v37+Ouvv+TDC7qnCvPqs2SNaWRkhPr16+Ps2bN49OiRTFBlpftMq1evjtu3byMyMhKxsbHyJnBecorp7OyMs2fP4t69ezhw4AD69euntwjyhQsXcOjQIQAZTx22bdsWHTp0QFxcHK5du4YjR47gwoUL8PPzQ+XKlbM9pZ/buc1apiZNmsDHxwcXLlzAiBEjYGlpif/9739wdHTEV199hZCQEPz999+IjIyEra2t7Fvk1BfIGrN69eoYP348AgICcOvWLRw+fBgNGzbEgAEDsGvXLty+fRvOzs5YtGgR6tevL59edHZ2hrOzM1q0aIHPPvsM//zzDy5duoQDBw7IhbBzi1mpUiVYWFggLi4Oe/fuRadOneS1vm3bNhw7dgxmZmZYtWoVGjdurPek5LBhw/DNN9/g2LFjOHnyJKpXry4f3MgaLywsDCkpKUhPT8fUqVNzvflsa2uLPn364PLlywgLC8Off/5Z6KdGc/os3d3dsW3bNkREROCjjz7C6tWr5ajmx48f459//sGOHTsAZCzc2aZNG3h6eiIsLAzBwcHYuXMnjh8/jqtXr2Lfvn1o27YtLC0t5Xcnp5i6G8yhoaH4559/ZH86p76Rrn6OjIxEnTp1sGjRInzxxRe4ceMGPv/8c1SrVg0tW7bMt5wVKlSQn+ft27fRp0+fPK9phUKBunXrys9k69at8Pf3xwcffID169dnS7w6Oztjzpw58PDwwMiRI/Vee/LkCZKTk2FpaQkXFxc0btwYCxYsgIODA3bt2oVr167JKeCGDBmS52/OvOLpEpHPnj3DjRs30KZNm2xtlO63SObRPPHx8bmeh/xi6q7XiIgIXLt2Dd27d5fXpK4PGBwcDCEEhBBIS0tDjRo1UK5cOTlS8/Hjx/j7779hamqKN998U6+fk9d5zVweT09PeHl54fTp05g5cya6desGR0dHvP/++9mmgBs0aBC2bduG1atXY+TIkViwYIFeAj6nmKNGjUJYWBgePXqEffv2oXr16vLG+9KlSxEUFARnZ2dMmDABPXr0kPu7e/cuzp49ixUrViA+Ph4XLlzAgQMHMGvWLL3PN6eYutGjAPD8+XMA/z7hDAAbNmzAiRMnYGpqirfffhsuLi5o0KAB/Pz8cPPmTWzatEmOhK1QoQJmzJiRY8yWLVviypUr0Gq1aNeunV7/J+t5btWqFU6dOgWlUokLFy4UOvmQUzl1n7darUZAQAD69++vN8IxJSUFV69elTfky5cvjxo1asDCwgKJiYm4ceMGgoKCEBMTAyEE3nzzTb0RzXl9VxISEhAcHAwPD48c61LdvxkbG0Oj0WD06NHo3LkzPvnkE1y7dg1Lly7Fhg0bsi0knFPM4m6ri7PdLMl2rCTak+Ksa0eMGAGgZNuwUkUQvUIiIiLExx9/LDp37qy32GjmheE2btwoF6Nxd3cXY8eO1ds2r8WEExMT5cJ7usUhC7ooU2Jiovj5559Fs2bNhKurq1iyZInevvOTnp4u0tLSxMSJE4Wzs7N8f1JSkvDx8dFbZGfcuHFi7969cnHhvISHh4vvv/9etG/fXoSFhQkhMhZP0y3YPXXqVBEZGZnje7VarejWrZtQqVRi4MCBucZ4/vy52Llzp/Dz88uxrCdPnpTHPnv2bL0FtrRarXj77beFSqUSU6ZMybZIr1qtFnfv3tVbxLKgi/5kdfjwYbmotW6RysyLSH744Yd6i/eOHDlSJCcny+3y+hx1rz1+/Fguuty8eXNx5coVsWnTJtGwYUO9RQ9z8uTJE3n9qVQquWhQfuVcvny5cHV1FR07dpSLgaampop3331XqFQq8euvv+rtJ3M5IiMjxcKFC2XMvBZETU9Pz3Pxt8zncsqUKaJhw4aiVatWclHqF1lkNTQ0VEyaNEkuSNe6dWvx1VdfiWXLlomRI0eKli1bCpVKJebPn5/jPuLj4+UiWiqVSnz77bf5HtOhQ4fk9tOmTZPXjG4BJ61WK/++e/eucHd3F4MHDxYJCQkiKSlJbNmyRTRp0kS4urqK5cuXF6nsQgixZ88e0bBhQ9G+fXu5WFZ+5zI8PFysWbNGuLu7y/rs4sWL8rgzCw0NFV999ZXo2bNntsXvYmJi5KLWa9euFUIIce7cOTFv3jzRtGlToVKpRLt27cTOnTtFTExMgct09epVsXDhQrkIrkajEXPmzBEqlUq8+eab+b5/9OjRomHDhsLT07PAC85mLWfmmJMmTcq2vVarFcnJyWLp0qV6C93qFofWXYstWrQQs2bNEv7+/vnGzM2UKVOEq6urXAjv3r17YvTo0TJm//79xfr162V79Oeff4pFixaJS5cu5RszMDBQzJo1S7i6uooWLVqItWvX6i2s9tFHH8nF5d566y1x4MAB4efnJ3bu3CmWLVsmFxxv0qSJmDp1qggICChQOW/cuCHP0R9//CGEyPju6K7d9evXy/INGzZMLFiwQMyfP1+MHz9eXlstWrQQixYtEnfu3Mkz5tixY4VKpRJDhgzJcVshMtpo3Tlt27atPHeFqZdyKqdu0cN27dqJwMBAIYR+nyQlJUWsXbtWbzFN3aLxjRo1kuWcNm2a8PX1LVDMBQsWyAWd81pAVnccU6dOFd27dxf79u2TdWXnzp2Fn5+fECL/OiEmJkYustyjRw9x8OBBvTLmJS4uTqxatUo0adJENG7cWHzxxRcFep9OVFSUeO2114RKpRIrV67Ue02tVgs/Pz8xfvx4eW5ff/11sWvXLrloe2Hs2bNH7mfu3LnZFhsV4t/6X/cZqFQqcefOnVz7B8nJyXl+9728vOR+3n//fb0+glqtFuPGjRMqlUq8++67eotHCpGxCOOtW7fEjBkz5D727dtXqDLrjvvEiROybc26gOPBgwdFixYthEqlkguZZ+4vFPRauHfvnujUqZNQqVTC09NTBAQEiJUrV4pGjRqJP/74I8/FER8+fCgmT54sVCqVaNy4sbx28/LRRx8JFxcX0a1bN3Hq1CnZz58yZYpQqVTCy8tLCKHfpuuEhobK9kGlUokjR47kGicmJqZACzlHRkbKtqtdu3ZyAdGi9o2EECIoKEi8/vrrsn5p3769WLZsmVi6dKkYMmSIaNKkiVCpVLl+72JjY8WSJUtkOTds2JBvzF27dsnt33nnHflbJPPnp/v70qVLwsXFRYwbN06o1WoRHx8v68PGjRuLH3/8scBlnTVrlqwvz5w5U+D33bt3TyxevFi2K/Pnzy9U/fD333/L8l67dk3+e2hoqFi1apXsH7Rv3158+umnsh0QonALUV+7dk00a9ZMNG3aVHzxxRfZFkDN7ODBg/KYdu3aVeAYWd26dUu0atVKNGrUSMyePVuEhITovf7w4UN5bU2dOlXs2bNHxMXFCY1GI65fvy42b94s2rZtK39znz59ukjHERISItq2bStat24tnj59qvfvM2fOlGXt2bOnmD59uvx/Xd8iN5nP/+bNm+X73nrrLREZGSlu3bolWrZsKVq3bi18fHxkXZb1t/8///wj2rVrJ3/bZV5sPC+fffaZbPMzLxh84cIFeSwnTpzI9r7U1FTxzz//yAV+W7ZsqXftZXXkyBHx1Vdfibt37+Z5PAkJCWLIkCFyMduc+pCFpdVq5WLWmX8rCJHxm3jbtm2yH7lo0SJx9epV2c49fvxY/P3336Jjx45yUfO//vor35gBAQHy99Wbb74pYmNjc/yu6T7Pr7/+WqhUKnHu3DmRlpYmVq5cKZo1ayZUKpVYunSpSE1NzbceLqm2urjazZJqx4qzPdHtpyTqWiFKrg0rTQr+yBdRKWBvb4+RI0di7ty5cHNzk/+uy2gDGQtmrVmzBsbGxkhKSsLVq1fxwQcf4NixYwD+ndc1K93Tnrqn2Z89e4atW7fi5s2bAP6dRz8n4v8Xop4yZQo6dOiA9PR07Ny5Uy6KU5A5FXVP9AUEBEAIIZ+iMzc3h4eHBz788EM5QuHChQvYvHkztm/fLp8kyE2lSpUwceJE7N27F5UrV4YQAk5OThgzZgyGDBmCkSNH5jiXpO64dZnV6OhovSGSOklJSfj555+xZMkSrFu3DomJidm26dixI9544w00a9YMI0eO1HtCWqFQYMKECRg0aBAmTpwoh7LqzreJiQnq1q2Lnj17yvfpnjouzFOrQMaT21ZWVnJ0QmaWlpbo3bs3LC0t5ef15MkTLF68GNeuXZNPvOd07ejKodVqUb16dXz66ado0KABEhISMHnyZKxatQparVY+vZ+bqlWr6j0dr5ufMr9ytmnTBlqtFqGhodiyZYscTn/nzh3Y2dmhRYsW8hgz/xf4d2oO3dOLumlScoppZGSU51yHuv1aWlqiffv20Gq1iI2NlU+C6J4mLyyFImMhrwkTJsDBwQEmJiaIiorC+vXr5TzqcXFxUKlUWLJkCQBk+5wsLS0xdOhQOSf43bt3cy2nTs+ePTFw4EAAwMmTJzF37lwkJCToPeliZGSEmJgYzJ8/H0lJSXBzc0P58uVhbm6OsWPHok2bNkhPT8e2bdvkXKCFVaFCBWi1WoSHh8uFAfO7JipVqoThw4dj2rRpsLOzw7Nnz/Dee+/h3r172eojBwcHTJ8+HX/88Ue20QsajSbb9p6enpg0aRKGDRsGe3t7RERE4OOPP8bWrVvl9Gm50X3+bm5uWLx4sXyyWKlUyimPrly5gitXruT4ft3n6uDgAK1Wi+jo6Hxj5lZOpVIp677Lly/jxIkTesepUCgQGxuLc+fOQavVolq1aujatSs+/vhjLFy4EAMHDkTVqlXlmhC6xcsylzOvc6vbTgiBOnXqID09HQcOHIBGo0G9evXw/fffyyeA7ty5g+3bt+Pbb7/F/v378cEHH+DPP/9EcHBwvuVUqVQYOnQoHBwcEB8fj0OHDuHixYsAgOPHj2Pnzp0wNjbGwoUL8dFHH6Fv375o0aIFhg8fjtmzZ2P16tWoXbs2UlJScP78eZw5cybfmEDGcGfd00W6+lY3lcONGzfw1VdfAciYW3b16tX44osv8OWXX2LZsmX4+uuvUbt2bcTHx+PgwYN6n03WmN988w2USiWqV6+OuXPn5rg+C5AxKsvd3R1AxhQeuhEhhWlHciqnbgRWRESEfMI481QLV69exe7du5Geng4XFxdMmDABv/zyC7766itMnz4dtWrVQnx8PHx8fLB37175ZFVe15DuqbTMC93nxNjYGGq1Wk494+HhgaVLl6JKlSp49uwZ5s+fL6dk0hFCZItpY2Mj+0ZBQUHYvHmzHLmRX9/IysoK06ZNg6enJ9RqNbZu3Srbmczb5UY3QqNBgwayX5S5f9C8eXMsXrxYflcuXbqEzZs3y6fB8zq2rH8PGjQIQ4cOBQAEBgbmWGdnbUfNzMzkNBpZxcbG4scff8SWLVsQGRmZY8w+ffpgwoQJ8PT0xKhRo/T6CCYmJpg5cyaGDBmCMWPGyMXZdfWgbsRW9+7dYWJiAoVCIafYyamcOdEdd8uWLeHi4oLk5ORs5e7duzfWrl2LKlWqIDU1FUDGVIi60S+6EcS5xRRCID09HfXq1cMnn3yCOnXqIDo6GhMmTMD69euhUCjg6uqa59OT1atXlyNm1Gq13jpkOcUDgPbt20Oj0eDx48fYtGkTEhMTYWFhgdu3b6N69epyOrTMbbpOpUqV0LNnT1hZWUGhUODevXvZYuji2NjY5DqFWeb92tnZoW3bttBqtYiIiJALpha0b5TT9VOzZk1MnDgR9vb2MDU1RXh4ODZt2oTffvsNAQEBSElJQcuWLTFv3jwA2ftG1tbWGDp0KGrWrAmFQpFt2r2cYurWXwOAv//+G/PmzUNycrLe52dkZIRnz55h3rx50Gg0cHd3l6OjJ0+ejJYtW0KtVmPLli15fk8zH7OHhweAjJFQf//9d7Y58nNTr149jBw5Uv6+uHbtmnwSPT+6vrWJiQnc3d3lKD4go24eN24cPvroI1SsWBHh4eH4888/sX79evj6+gLQX/i7IMdZt25dJCcnY/v27Th37lyu21auXFnWFXmdB933ObffLnXq1EG1atWQlpaGmzdvZqvHAgICZNu1cOFCObWUUqlEo0aNMGzYMLz77ruws7NDUlISNmzYAI1Gk2u8nKSnp8PKygqVKlVCVFSU7Eulp6ejSpUq+PLLLzFu3DgAwKNHj+SI/pEjR8r6WncPIKvMv9vGjRuHuXPnAgCOHj2Kr7/+GkFBQYiLi0OfPn3QuHFj2XZnHRHYoUMHzJgxA9bW1khISMCePXsAZP8+6eg+886dO8tpTE+ePCmnVtZ9zyZNmoROnTrJ7TPX7V26dMH//vc/ODg4IC4uTo4SzSlm9+7dMXPmTDl1Vk500/z17NlTTiPq5eWFtLS0Iv020x2LEALt2rWTM0WsXLkSw4cPx5gxYzB+/HisXLkSCQkJ6Ny5Mz7//HO4ubnJa7d69ero1asXli9fjlq1aiExMRE//PADEhIS8jymWrVqoUaNGkhPT8fZs2dx5swZvWtXd46MjY0RFRWFAwcOwNTUFObm5jA2Nkbv3r3lug2XL19GcnJyjk++Z/ay2+qcYmq12pfWbupoNBoIIYqtHctaxoEDB8qph19We3L//n25H6B46tpvv/0WX375pRxFDpRMG1baMPlAr5wGDRrIRSQzV2C66SiEEOjSpQv27NkDR0dHpKam4t69e/jyyy/x66+/AsioIHPrqHTr1g1z585FuXLlcPPmTfzvf/9DQEBAnh1I3VzcCoUCU6ZMkcP3dNMcFFRqaipUKhUqVqwokyu6YV8NGzbEvHnzMHbsWAAZHcJff/0VmzdvxuPHj+U+cjpGS0tLedNYoVDAzMwMr732GqZPny6nPMn6Pq1Wi/T0dLmQohACKSkpegmI9PR07N69W05306dPn1ynqZo8eTKWLVuW41x5bm5umDFjBpo2bSr/LXMnQqlUolevXmjQoAEAZPsRWFC1atVC27ZtAfzbEOni3L9/H8uXL0dCQgLq1q0LS0tLREZG4uTJk1i9erWckqQgi6A2atQIQ4cORZUqVZCYmIi0tDTUqlVLzpud1/tHjBgh57u8detWgcrVunVrLF68GObm5rh48SImT56MJ0+ewN7eHkZGRvLmWE43RxQKBTp27IjGjRsDQK43fQtKdx2NGjVKrzPxww8/5HoMBdW+fXv88MMP6NevH9zd3WFlZYVhw4bJxrxZs2ZyUdycPidnZ2c4OTlBCIFHjx5BrVbnG3PcuHHyB8nJkycxYsQI7NixAydOnMCdO3fw008/4c0330RAQADq1KmDt99+GwDkvocOHQoTExOkpKTIqbwKq1WrVnKauUOHDuH06dMFep+9vT369++P3r17y3UvdD+Ysn7fraysclyA9urVq3j69CksLS3RoUMH+e/Ozs6YOHEiXnvtNdSuXRtpaWlYvXo11qxZIxeey0nmejRrXdGwYUMAGdMbHTt2TE61kpnuvbp5ZY2MjHJMimbePvOxWFlZ6cVt0qQJgIyO4NGjR+UPQ911umLFCjz8v/buO6Cq8n/g+PuyBASZioCKigMVceAeYGqKC/fMvmWaIzM1KzUr00wzNWfmKPcoR2q5Fy7cA9TcCwEVGQKi7MvvD37ndEEuIlws7fP6R5B7z+c85557nnOezzNu38bNzY3x48fz/fff0717d959910+++wzJk6cSLVq1UhOTmb58uVqI7nueZ49ZvbjodFoaNmyJaampty4cUOdb97e3p5JkyYxePBgIHMKjU2bNjFx4kRSU1Np1apVlqnfdCkxlbL7+voyduxYILPu+PHHH9UFY9PT03nnnXdo3bq1moxR6kcLCwsaNGjA999/T9WqVUlOTmbOnDmcP39eb0yFu7u7mjAPDAzk+PHj6hRlSl3cp08fBg0alGVYs7OzMy1btmTWrFnUrFmTpKQkfvjhhxwfDqytralSpQrjxo1jzpw5OU6TA3+fN++9955az6xZs0adXuhFZC9n06ZN1fNozZo1fPDBBxw8eJCDBw8yffp0vv32W0JCQqhYsSLz5s3js88+o1GjRvj7+zNo0CDmz59PvXr1SElJYePGjezbtw/I/RxS6sL09HSOHj2q3gvp3hMpn6EyNYaHhwf29vY0bNiQjh07YmFhQXR0tNoxQzlGaWlpJCcnU7Ro0Sz74O/vz9ChQzE1NSUoKIgxY8Zw8+bN5ybl09PTMTU1pV+/flhaWqqNwbqUmMp0YrqMjIzURFjnzp2fOTYajYaKFSsycuRIBgwYAGROlfHrr7+ydOlSta7XLWP2mMrixJD5IPzBBx8wevRotV7Mvj+AmizNPne1Ijk5mdWrV7Nw4ULmzZtHYmKi3pjvvvsukyZNolq1as9cO729vRk8eDBVq1Z9Zh8g8xro7+9P2bJlycjIyFLe5x1bhTIntbOzM4mJieo0mGlpaeprLC0ts0wR8PDhQ3788Ud++uknnj59mqXhIXtMZW51yLzmdunSBUdHR+Lj49FoNLi7u+Ph4ZHjvilMTEzo3r27Ou+50oFAXzyA5s2b8/HHH2NmZsbRo0fp378/9+7do3jx4piZmeHg4KD3nsTIyIjWrVtTuXJlMjIyCA4Ofua4pqSk5HpcdSnH5u2336bZ/6+RsWnTJpYuXQrk7d5I3/mjzPferl07atasib29PW+99ZZ6z6msTaTv3qhGjRrq+XPnzp0s3+ecYpqZmdGuXTs8PDwwNjZm9+7d9OzZk99++439+/dz/vx55syZwwcffEB4eDg1atRgyJAhQOa9kbGxMR07dsTIyIiEhAR1LQqFEl85Zsqx6d27N76+vuqzx9q1a9Vz9HmN3dWrV+eTTz7B1NSU27dvs379evV92ePpfgeNjIx48803adOmDe7u7lm+E5CZvPH39+ebb76hYsWKPHnyhK1bt/LLL7+wZ88etFptjs+P2WOmpaVhaWnJJ598QunSpXF2dlbvR7JT7muUa7yynkD2GMnJySxevJhPP/2Uw4cPq6/XjVmkSBG++uorevTowddff52lLobMRvfx48fz4YcfUqZMmWcaOi0tLfH19VWnyQkJCSEpKUk9z3I7tgoTExOKFi1Ku3btgL+f8ZQFvK2srBg7dqy6/p6RkRFmZmZqhz34uw0gp5hKPQSZzybvvPMOJiYmbN68We2wVKVKlVynWTYxMVETCZB5b6x7zmWPqVCmEk5LS2PNmjVs2LBBPU5KXF3Zv5/169dXpyG9ePGieq3VjamULad7eF3KZ9exY0dcXV3V79Hp06fz/GyWUzmNjIwYOHAgnTt3VqcCvXDhAqdPnyYuLo4nT57g5OTEZ599lmV/dXl6elK7dm0gs26Ji4tT90nfd2Xw4MG4uLiQmJjIqFGj1OuB0m6SkpLC/fv3+eijj3jw4AENGjRQ79U8PDwYMWIEJiYmXLlyJUsHl1OnThEdHZ3ls1Biv/POO0yePNngdXVOMXXfX7NmTYPXm0pMZXrtvChIPaavjKamprRt25YqVaoUSn2ydOlS+vTpo65bqdVqC/1au3DhQhYsWMCuXbt48OCBWubCqsNeJbLmg3glKRc3fRfp9PR0KlasyJYtW/jggw84deoUYWFhLFq0iHv37jF8+PAcF9JRdO3alTt37rBz505u377NO++8w5w5c9SGc6VXrC6lUq9QoQK2trbExcWpGea8Lmrp5OTE+PHjmT17tjrfvO77SpcuzeDBgylRogTz5s0jNDSU9evXExsbS/fu3dW5n3Pav+xsbW2zZLizv14ZIaL0YDE3N6dIkSJZMv379+9Xe6+OGDFC7XmYl3i6jI2NcXNz0/teZT0J5WE/JSVFTfbktdeqMnepkjX+888/6dq1q9ooO3PmTC5cuICLiwvr16/n7t27DB8+nJCQEI4dO0ZISAhOTk7P3CjmxMLCgq5du3Ljxg3Wr19PcnIy0dHRhISEPLMYmy5l4SEleaU80OZlIad27dpx5coVtm3bxpUrV3j33XfVngO5Nc4qMZUFnZUFis3MzPKVKNBdpMnHx4cDBw6QlJTE4cOHadGiBR4eHnlemConHh4efP3110BmT+NSpUoxdepUTpw4QfHixdWHleyUmMqD1dOnT7PMea9PtWrVmDx5MqNHj+b27dvcunWLb7/9lpSUFKytrdVeyhYWFnzxxRfY29uTkZGRZZ2EokWLEhsbm+e5IrNTGoCPHj3KnTt32Lx5M+XKlaN06dLP/a67uLioi29euXKFLVu28NZbb6k9fhITE4mMjFR7PWbfXsOGDWnfvj3Hjh175jNzcXGhb9++2NnZsXnzZs6fP89vv/3Gw4cPGTJkCFWrVs1xPkt9+9ulSxd2797NoUOH2LRpE02bNn2mMVnZB+VakFtSWKvVcuTIEVJSUmjYsGGOD2Zt27bljz/+4OzZs1SqVOmZh08fHx/++usvBgwYQJMmTdTEtbGxMTY2NtSrV4+uXbty69YttZf7G2+8keP+5Mbd3R0XFxdCQkK4cOECvr6+aLVazMzMGDFiBK6urkyYMIFHjx4BmY3RvXr1ylLWnK6Fup9py5Yt+e6775g0aRLnz59n4MCB6rWhXr16WUZmZP+sK1euzJtvvqk+6N+8eTPL6EN9atSowfr169V5i+vVq4eZmRlhYWHY29vTvXt3vftfsWJFevfuzZ07d0hISODChQvPJK+Vsukb7aB7HCCzh7KXlxdBQUHEx8dz9OhRNXmZl3ozJ87OzrRp04br16+TnJzM/v37OXbsGElJSVkSbbNnz8bFxUXtJKE0yLq7uzNs2DC++OILQkJCOHLkiN6kksLf358tW7Zw+vRp1q5dS8mSJRk0aNAzD7qQmUC7e/eu2rvS1taWnj17snv3bm7fvs2GDRvo1asXcXFxXLhwgRUrVvD48WOMjIywtbWlS5cu+Pn5YWFhQdu2bbl79y779u3j2rVrvP3228ybN09tNMiJsh8eHh7Y2Njw9OnTLOtP/PXXXznGbNOmjZpM1mg0tGjRAtB/rjs7O9O/f3+cnJyYM2cO9+7dY+PGjcTGxtKjRw9q1qyJRqMhNDQ0x3J27twZf39/6tWrR6VKldT7FX3xlDnB09PTn0ksa7Vatm7dypw5cwAYNGgQFy5c4NNPP30mZvv27bPMb539HDQxMVHvB3OiXI+U/VUejvNybBVKY167du04cOAAd+/ezbIQYmhoKN9++y1hYWFUqlQJLy8vNmzYwPXr1/n999+Jjo6mX79+6hoxucVUOg1cvXqVrVu3kpqaSnR0NBEREc80fGYvZ9GiRSlWrBjh4eE8fvyY0NBQzp8/z8qVK5+J17p1aywtLXnzzTe5ceMGe/bsITg4mH79+hEdHY2Dg0Ou90bKcVUSsvHx8aSnpxMeHs7FixfzdFx1KZ9r0aJFadq0KUeOHCEtLY2DBw/i4+ODu7u73nsjfeesUk5zc3Nq1KhBpUqVMDExITo6mpIlS/LVV19x+vRpSpYsqSYJc5pHW3cUYEJCAmlpaUREROj9nnTs2JFWrVqRnJzML7/8QkhICNeuXWPKlCkkJSWpizND5giSzz//nCJFimS5N6pWrRqWlpY8ffr0mYYf5fuWmpqa5V7UyMiIkSNH8uTJE06fPs3PP/9MUlISX3zxRZa6OTulAal27dpUqVKF8+fPq6N7dL/b2eMpx8bV1ZUxY8aoSbrsdYW5uTm+vr7Y2dkxb948jh49ysGDB9WFqHPqmJW9jMp3zcPDg48++gg7O7tn1sbRPZfMzMzURqecRjVrtVq2bdvG/Pnzgb8b6XKKWaVKFYYNG5ZlZJnuSOb27dtjZGSU47HVarU4ODjQpEkTLl++rCbknvdZ5lTfKvV4QEAADx48oESJEur7w8LC1DUflfIEBAQQHR3NO++8wxtvvKG+NqeYyloLSnlu3LjB0aNHSU1NxcTERH0G1XcfoNVqcXZ2pkGDBmzYsIHHjx+rnUdyK6dGo2HUqFHExMRw8uRJvvvuO5KTkylRogQajUbtHKbVap85vkp97efnp6558fTpU7Xu0W3zyL74sb57Ga1Wi5OTE++//z4//PADMTExTJs2jRkzZjyziHZOspdTd4HecePGUbNmTS5evMilS5fw9vYmNTWVVatWYWNjoyZuciqn8h3aunUraWlpaj2WU0zlvK1Xrx7NmjVj586dxMTEMGHCBAIDAyldujQVKlTg6NGj3L17lwsXLuDk5MTo0aMB1Gc/T09Pihcvzv3799X2mu3btzNu3Dj8/PwYOHBgltkYNBqNup6LUmZd+a2rt27dypdffqk3JmR+Dw1Vb+Y1Zk7yW4/pO67Ka1u1akVSUhJLliwxaH2yd+9epk6dCqCO8FHOp6pVqxbKtfbkyZP88ssvQOYsKkePHqVcuXJqW1Zh1mGvAkk+iNeSsbGxOoxz5cqVjBs3jo0bNxIREcEvv/xCtWrVaNu2rd7329nZ8emnn6qNE48fP6Zfv35MnDiRHj165Hphjo2NVXuuKjdyL3JhKF++PNOmTVMXDsoey8HBgd69e1O8eHFmz57N/fv32bJlC/Hx8XTr1o3GjRurDxkFvSCZmJioIyaSkpJ4+vSpeqE/c+YMkydPJjU1lc6dO6u9cwuDqakpjx49Uoen6VtYKjfK61u3bs3q1auJiYkhISEBc3NzFi1axN69ezE2NmbBggVYWlri4eHBokWLmDhxIoGBgXh6euYp8aCwsrJi4sSJ3Lt3j8DAQPr06ZPlpiUnykPjgwcPANTh3Xkpq62tLaNGjSI8PJyTJ09y7949jIyM1Oz6wIEDc2wIVqYne/jwIZDZS0fpVV5QXbp04erVqyxfvpygoCCWL1/OlClT1B5K+T0/lf1TenLcuHGDjIwMrl27lqXBRJcyrZkylZWPj0+WRRVzU7FiRX7++WfmzZvHyZMn1V5Zjx8/xtLSkkqVKjFq1Ch1kSvd7eXUC+N5dPdJ+XngwIHqQrHbt28nIyODb775Bisrq1yTORkZGZQqVYoxY8YwbNgwoqKiCAoKUpMPykitAQMGZOkdqVxDzM3NmT59OgEBAc808CrDdLt3764uQBoYGEhAQIC6EHX9+vX1NsbollMpQ8+ePTE3N8fT01PtoZQTpaEkLS2NyMjIHL+bhw8fZsiQIZibm7N8+XJ1io3sMUeNGkVUVJQ6Kkr3NW+88QYuLi64ubmp56vusS5SpAhdunRh5cqV3L59mzNnzuRazpxotVrs7OyoUqUKISEhHDhwAF9f3yxJFT8/P7Zv3672/k9JSWHx4sVER0fToUMHNVms7KNuTN3YPj4+9O7dm19//ZWLFy9ibGxMyZIlc02sK+Xs3bs369at4/79+wQGBtK5c+ccz1Vd3bp14/Lly6xevZp169YBmYs7KkPqlfpF3zRvfn5+rFixgr/++ou9e/cyYMCAAtVrRkZGDB48mHPnznHhwgUWLlyIh4cHbdq0eaGeX9nL/O6771K0aFHWrVtHWFgYjx49wtPTk+TkZK5fv0779u0pV66c3utejRo1KFmyJCEhIVy8eJGkpKQs3xvdmEpSqlOnTkRGRhISEsLMmTO5ffs2b731Fo6OjpQsWZLjx4+zd+9eNm7ciImJCR999BFmZmakpqbi4uLC0KFD+fLLL4mMjOTUqVMsX76cq1evEhcXl2V6ylOnTnH8+HGGDh2Ku7s7ffr0IT4+ntOnTxMTE0OfPn347rvvnpswiY6OVpNnTk5O3Lp1i6+//lpvzBMnTjB48GDKli2b5RqX2+dvZ2dH165dcXR0ZNasWYSEhLB161YeP35M+/btqVixYq4xjx8/rvbwVY65vnjKw3CRIkWeuf4eOXKE7777DsisB0+ePMnKlSv1lnPIkCHPlDOvjI2NuX//vnp/1LBhw3wf2/Lly2NmZkZQUBDBwcF4e3sTHR3N3LlzOXXqFDY2Nvz888+UKFECZ2dn5s6dS2hoKKtWrcLJyYnDhw/nKaadnR2TJ0/m3r17nD17lr59++Y6paNSztDQUPX+yMXFhXHjxj33nC1Xrhw9evRQExXKA3tISAibNm3i7bff1rtQaWxsrJpYatSoESEhIfk6rro0Gg1vvfUWV69eZd26dRw/fpxVq1Yxfvz4HO+N8vJZDho0iHLlymFmZqZ2skhLS1Mbay9duqT32mNkZER0dLQ6Gql58+aEhYXlGvPYsWMMHz6cDh064OjoyPbt2zl16pSaVExMTMTW1pbKlSszduxYtXeu7jU2NjZWbSRSjpMySmvTpk1ERkaSkpKCl5cXjRo1onz58pibm1O+fHm6du1KQkICV65cYdWqVURERDBjxgy9z01KI7G5uTkeHh6cP3+ee/fuERkZSUxMDJs3b34mnru7u3qvqdVqs5yfOdUVJiYm1KpVi3HjxrF48WI2b97MuXPn1HvAjh074uTklGsZy5Urh42NDW3atMmxLtdlbW2NiYkJaWlpOd5jHjlyhClTpgDQt29f3NzcmDp1qt7jqjyv5lQ+fYvP6r7W2tpaHQWkjD7SV07dY6vL29sbNzc3NXGqJGVjYmKYO3cuJ06cwNbWlsmTJzN79myuXr3KmTNnSExM5O7du3Tt2jVPMatXr06/fv24fPmyOnWx8tyu7z5A+X8lWaAsMG5mZvbcmCVLlqRLly5ER0dz8+ZNZs6ciaOjIxkZGYSEhNCwYcNcr/umpqakpaURHx9PfHw85ubmL3xsFcp51bhxYzZs2EBMTAxhYWEEBgZSrly5Z0YbKXI7b3VjtmvXTh3BApnTW5mZmWFvb693imeFVqtVE8Lp6el6YzZs2JDy5ctTvHhxdfRCQEAAoaGh6khO3Y5JpqamTJw4UZ1VQGnHcHJyonLlyty/f5/ExESSkpL4/vvvSUxMJCAggPj4ePr160edOnVybRjOq+x1dYMGDUhKSmL69Ok5xtRty8nIyDBIvVm9evU8x8xNXuuxjIwMkpOT9R5XpYOkqakp/v7+ODs788cffxikPrly5QrDhg0DMkdqZL/Pt7a2pm3btga91nbq1IklS5Zk+bsyPa7Sedfd3d1gddjTp0+xsLAo0KwSL5skH8RrS7lQmJiY8O2331K2bFlmzJiBj49ProkHhY2NDdOmTWPixIns3buXuLg4vvrqK65fv87777+Pg4ODeoHTbfC8ffs2JiYm2NraUrp06Xztu1Ix6ruYWFlZ0bZtWxwcHJg1axZ//fUXO3bsID4+nri4OFq2bPncHt15oVsujUajVgA3b95k6tSpPHjwAG9vb/Wia2i6FeDNmzd5/PgxxYoVe24v19y4uLhgb2/PnTt32LVrl9orA2Du3LlUqlRJvcFwc3Nj2rRprFu3Ll/JFY1Gw+TJkzl58iStWrXSe0Ooe0Nz48YNUlNTsbOzy3XuzpzY2toyf/58PvnkE/UGDODQoUPUrVuXGjVqqOeF7md7584dtZLPbWTGi1DK9L///Y8bN24QGBjIpk2bKFq0KOPGjVNvSgpSYSrvVR6awsPDiYiIwNXVVY2ve2xv3brFnTt3MDY2Vocx5zW+vb0948aN49GjRwQEBJCSkkJaWhq1atXCxcVFfZDIfrN45coVLCwsKFOmjBozJ/pGIOhur2fPnkRGRnLo0CF27NhBdHQ0s2fPVteE0NfzXavV4ubmpt74KMO9T58+zZkzZ9QeJN27d6d58+ZZpmdQjp/Sm183jvI6ZcisnZ0dtra27Nu3j4sXL/L111/z0Ucf0bJlS/XhVV85lc/I19eXsmXLUrJkSSwsLPSWS3lA0Wg0WYbBKp/nX3/9xffff49Wq8XLy0sdTZRTzMqVK1O5cuVnygeZvXtq1Kih94EjJSUFc3NzSpUqxe3bt9Xv15MnT4iOjtY7okSXEq9ly5bs2bNHTZApMRMTE1m8eLGaeKhQoQI3btzg+PHjarK7Z8+eaiImt5j29vZ06tSJS5cuERgYCGT26I2IiKB06dJ69zElJYVixYphb2/P/fv31Ye6p0+f6i2nciy7detGeHg4Bw4cYN26dcTExKDVarG2tlaviTnta0pKCkWKFKFatWrqXNQZGRk8ffqUqKioPB3b7JSEmdIbOikpiY0bN1KtWrUsDc7Z5eX72b17d+rVq0dCQoI6NHzRokVcv34dS0vLLL0kdSm9+WrWrMmJEyfQaDSkpaXpLadyvvj7+xMREcHGjRu5d+8emzdv5uTJkyQnJ1O8eHFu3bqlTv82ZswYqlatqn5fIXOu+OTkZNLT05k4cSIRERHY2tri5eVFxYoVuXv3Lvfu3SM8PJwtW7YQHR3N/PnzqVWrFqNGjWLWrFmcPn2a+Ph4xowZw/Xr1+nXrx92dnY53hvduXOHIkWKUKxYMaytrfnggw+4c+eO3pibN28mJiaGefPmvdD9jKWlJS1atMDe3p45c+Zw5swZ9uzZQ8mSJZk5c2auMf/44w9iY2PzFFMZSZWSkpJlCr+//vqLKVOm8PjxY3x8fDh79myuMbds2cKjR4/yXM7s9Qxkzh/+9OlTHBwcKF68+AsfW2Wb5cuXx8vLixMnTnDu3Dm8vb1Zvny5Og3TTz/9RIkSJUhPT2fo0KG4ubnxySef4OnpycaNG18oppmZGVOmTOHatWu88cYbOXYagKzX5Bs3bqDVanF0dGTDhg15Pmfr1KnDl19+yTfffMO5c+fU7e3bt48aNWpkWY9LOWczMjK4ceMGoaGhakccQ5yzSp36zjvvcPv2bU6dOsXatWuxtrbm448/znJvFBsbm6+YSv2mjGi9c+cOMTExODo6qvF1j+v169cJCQmhSJEieTp//vzzT2JiYvjpp59o2LAhVapUITU1lQMHDpCRkbm+R506dShevHiW+xPl3/T0dK5du4apqSnVqlXD1dWVx48fM2XKFE6fPp1lLaPdu3dTo0YN/P398ff3x9rams6dO5OYmMiKFSsIDQ1lz5499OjRgxkzZqgNjLrfFUVCQoKaZClVqhQzZ87MNV7Hjh2xsrLKc8Jbo8mcCmXEiBE4OTmxcOFCrl+/zm+//cbdu3d55513WLp0qd6YHTp0oFOnTllGSeir254+fZrlPg3+Pnd1r0G+vr48ffqUDz/88LnlzA+NRsPTp0/VRJePjw9FixZl8uTJeTq2uqysrKhduzYhISGcPn2aFi1akJCQkOUaNH/+fGrXro27uzuTJk3i8OHDBAcH4+7unqeYlpaWGBkZ0aRJE6ZMmcKgQYPo27dvlml/9ZXzyZMn6rQ19evXx9TUNM/l7NSpE1FRUSxdupTo6Gji4+OBzFH49evXz7HnuUajITU1Vd1206ZNsba2ztexzc7Z2ZkJEyYwaNAgHjx4wMyZM6lQoYI62lh3P/Ly3dQ9trrXlvDwcOLi4rhy5QrXr1/P8fldo9GQkpKirgXVsGFDbGxsci1nhw4d8Pf3p1ixYnz++ed4enpy5syZLFMG2tjY0LhxY7p06aKOcNUVHR2tPvva29tjbm5Oq1atWL16NbGxsRw6dIj4+Hj69u1L69atX7jj3PPq6nLlyj03ZvbrZkHqzRIlSuDm5vZCMfV5kXrsefFMTU3VBETdunWpXLkyycnJBapPYmNjGTRoEBkZGbRq1YqBAwfm+J3QfbYr6LXWx8eHY8eOkZGRQbt27UhNTWX37t2cOnWK+Ph4dU1RU1NTg9Rh5cqVU0dBvUok+SBea8pC1MbGxrz//vt4enrmuOaAPkWKFOGbb76hbNmy/Pbbb4SFhbFy5UquXLlCz5498fLyokyZMurF//r166xcuZKoqChq1KihLvRbGMzMzGjUqJHa4BwQEEBgYCBhYWEkJiaqi3AVhImJiXphS0hIIC4ujiJFijBr1izOnz+Pk5OTOpe/IWTvta77YLR06VIePHhAzZo18fX1zdf2MzIyKFasGPXr1+fOnTts2rRJvdkZM2aMuv6FboVrb29foFEdTk5OdOjQQY2v0WhITk5WhwvqDmW+e/euuliSt7e32hP7RZibmzN79mymTJnCr7/+ilarJSgoiBkzZtCrVy9q166d5Zw9deqUOmy+WrVq6gLLBaWUydXVFT8/P4KDg0lISGDPnj04OTnRt2/fHBfgzQ+l1/uFCxfUxWqVbSv7ce3aNRYuXEhISAhVq1alS5cu+SqTo6OjOlVMdtmHIYeFhbFz504SExMpU6aM2mMqJ7mNQFC25+XlRY8ePYiPj+fixYucPHmSXr16MWfOHLXxPCfKlArKMVF6MFavXh1PT08uXrxIQEAAsbGxxMbG0qZNm2eOn+62dOnuZ8OGDSlWrBg2Njbs3LmT+/fv8+2333Lv3j26d+9OiRIlci1nRkaGOg2NvngK5fw1MjJSG42UG7SwsDCmTZvGzZs3qVy5MikpKXz33Xc5xszpWGWXW08npbFH6TWn9NQbOHCg3nLqowzXPnHiBCdOnKB+/fqkpqayadMmFi1aBGROodOuXTtGjBjBzp07uXz5MnPnziUtLY09e/bkKaa7uzuff/45AwYM4P79+zRp0kSdxup55VQaWZXX51ZO5VhWqVKFzp07ExYWxq1bt9i/fz8aTeYczAEBAXTu3DnH46LEVHomuri4qHX5ix5bhdIo9/bbb3P06FGOHz/OsWPH2Lt3L++9957eXl/P+34qPytTN1SrVg1A7SWV2/QupqamaLVaNemkrDn01ltv5ToqyczMjKFDh6o9jy9cuMC9e/cA1IXobGxsGDhwIH379lXLr2zDyckJS0tLHj9+TEREBFWrVmXIkCH4+PioSaHdu3ezceNGDh8+zJEjR5g6dSqjR4+mUqVKfPPNN/z4448cPHiQ8PBwfvnlFy5fvkzXrl3x8vKidOnS6vf04sWLLF26lLi4OJo2bcrKlSu5c+fOc2MeOnSI77//nrFjx2JklPOizjkxMzOjbt26fPXVV0ybNo3r16+ryeeCxlSOn/Iga2xsrDYkhYaGMn36dG7fvq12ZDBUOZWpIpS/KQ/fly5d4ueffyY2NhZfX19+//33fMVUjluDBg04ceIEZ8+eZfny5eq1Z+rUqdSuXTvL9CDt27fHzc2NWbNmcfHixTzHHDNmjNrBI/uUm8qc5kpdmv0+MC4uDjs7O6Kiol7onK1atSqzZs3iiy++4NixY2i1Wk6dOsWMGTPo3r07tWvXVs9ZrVbL0aNHWbBgAQ8fPqRRo0bs27fPIJ+l7oKXrVu35sKFCyQlJbF161Z1ZLNy7fvkk0/yHVOjyVyMdO/evZw6dYopU6YwZcoUddu658/8+fOJjIykYcOGBAQE5ClmYGAgU6dOZcyYMeo87zndGymNR8rnmZGRwe3bt9m+fTupqamUL18ee3t73n//fY4cOYKFhQWOjo64urry9OlTrl+/rt4/1qxZU7229unTh6JFi6r3r1euXKFPnz588cUXNG7cGHt7e7VRU5k24/79++o1+cKFC4SEhOQ53osoWbIk/fr1o0SJEsyfP5/w8HCuXbvG1KlTn1vGWrVq5Smm0rlGl5GRkXr/o1yD0tLS+P333w1eTt3ntfv376v1l7L+zot8lvB3Y6mXlxebNm1i3759vP/+++zYsYOFCxcCf1+D0tPTcXNzY+bMmXz99decPHmSiIgIAgMD8xRTmX7M19eXjRs3UrVqVb11i9IoCplTqCh1bH7KOWDAAKysrPjhhx/UOuPixYts27aNrl274uzs/Mw5GxoayvHjx4HMdQvHjh37wsc2J1pt5kLGPXr0YMWKFcTGxjJ69GimT59O3bp1s9wrvGg5de+flHvi5ORkzp07lyX5oHsOhYWFqeWsUKEC48aNe6HvipKcHDJkiDry38nJCQcHhyyJYN3k8u3bt0lNTcXW1lbt7Ofp6Ul6ejpGRkakpqZy5swZnjx5QlRUFL169cpTAiKvdXXTpk1fKKZSd+S33nzjjTfUNrCClvNF6rG8xDM1NVX/rkzPVZD6pG/fvkRERODl5cWIESOyjOzSR19583qtTUhIICIigurVq/Phhx+ybds2du/ezbVr17h27ZraJqjEKWgdZqjOoi+bJB/Ea0/3AvoiiQeFkZER77//PpUqVeLnn3/m3LlznDp1itu3b1O8eHGaNm2qDru8ePEi165dw8zMjIkTJz538aeCMjY2xtPTkzFjxuDs7MyaNWsICQl5bg+OvFBuOpSeU6mpqdy6dYtdu3axZ88eNBoNCxcuvAFyMAAAQEVJREFU1LuOQ34EBQWxevVq6tWrh4uLC+XLl2fHjh1qI1FBj6tyI9C4cWM2btyo9tTp1asX7777LpD39TnyG1+r1bJ//362bNlCzZo1cXd3p0yZMhw8eJATJ04QGBiImZkZ48ePz3dG29jYmC+++AJPT09mz57Nw4cPCQoKUudZVxo1Hzx4wKVLl3j48CEWFhZMmTIl372fcqKcQ927dycyMpI5c+YQERHBtm3bsLa2xt/f3yBZ+7Zt2xIQEMCJEyfYu3cvvXr14u2338bJyYmSJUuyfft2Tp48yZkzZzA1NTVIOZX5F5VzZc+ePTx8+JAyZcpQq1YtAgICOHDgAAcOHKBIkSIMHz5c78iX541A0P23ZcuWGBkZMX/+fG7cuEFISAg9e/Zk8uTJ+Pn5ZRk+Cn+f81euXCE9PZ1ixYpRpUoVNfmljAgA1CkCHj16RMeOHXNNlujS3b9q1apRrFgxbG1t2b59O3fu3GHu3Lk0btyYu3fvPreceTnuug1/6enpasM/oPYgPn78OMWKFeODDz5Qj31+Y+a2H5A5pUVcXBxFixbF29s7T59nTry8vGjcuDGHDx/m7t271K9fn4MHD6rr6gwdOlQdzv7tt99SpkwZFi1aRFxcHK6urnmOqTx0Tps2jc2bNzNo0KA8fR/Onz/PkydPKFasGLVq1Xqh87Z169akp6fzww8/EBYWhomJCRqNht27d+Pl5aUmnLKft6GhoURGRmJsbEzVqlXzfWx1paenY2FhwdixY/nss8+4evUq33//PXZ2dnTu3PmZUVl5ifm8uFeuXFHnmdcdGaW8786dOzx48AATExOqVauWp1FJuiOiatWqxb179/jzzz9JT08nLS2NevXqZVnEUTm+SsygoCB1AVl7e3tGjx5N3bp1MTIyUh92WrVqRXp6OidOnCApKYmLFy+qf3NwcODzzz+nbNmy7N69m3PnznH06FFu3LiBra0tzZo1Q6PRcPfuXa5cucLt27ext7enRo0azJs3D0dHxzzFvHDhAomJiS98zTYyMqJy5cpMnDiRP//8U53qoqAxleOnew26d+8eT548Yfbs2Rw7doxixYrx5ptv8uOPPxqsnMePH2fDhg00aNAAV1dXSpUqxdatWzl27BhBQUHY29tTvXr1fB9b5dxQpjQICAjgyJEjQOa1R+mYkP1cP3v2LIGBgS8UMykpKcdypqWlsWPHDnbu3Kn2bi5ZsiQHDhzgxIkTnDlzBgsLCx49epTneLrnrNJhZubMmezYsYOHDx9y+vRpQkJCsLGxoUGDBiQmJhIaGsqtW7eIiorC0dGR2rVrG/ScVY610kCyePFi7t27xx9//IGVlRXt2rXjt99+48iRIwWK+eabbxIYGMjZs2fZtm0bd+/epWfPnpQoUQIHBwe2bt3KyZMn+euvv7Czs8Pb2/uFynnx4kWSk5OzrAUHWe+jt27dSmxsLOXLl6dKlSrs37+fvXv3cubMGRwdHRkxYgQTJ07kyJEj6jQqjRs3pmTJkly7do0DBw6wYMECbt68ycKFC5kxYwYaTeZ6OR07dqREiRIsXbqU4OBg4uLi+PTTT+nRowcNGjTgzTffVBvATp8+zW+//cbly5extLQkJCQkz/Gyly8vlDU5bGxsWLJkCW5ubvz5558Gi2lubv7MHOdxcXH8+OOP6v1PlSpV2LJli0FipqWlERUVpa7DoDQanz9/nmXLlnHp0iVKly5NeHj4C32WSkzlfGnRogU//vgjT548YcOGDeo86rrXIOW1VlZWTJ06lfHjx7Nhw4Z8lVNpvFbO2eTkZMLCwihevDjFihVTX3v16lUWL17M5cuX1amh8nPO9urVC1tbW2bMmMG9e/dITk5m3rx53Lt3j0aNGmU5Z3fu3Mm2bdsICgrC1dWVhISEfB3bnCgN1B07duT48eOcPHmS2NhYfvnlF3UKMY1Gw4QJEwoUU3cqra+++gpjY2O1c6RyDgUFBbFixQqCg4Nxdnbm8ePHLxTT2NhYvScqWbJkljWUFI8ePcLGxibLOkZr164lPDycatWqqQ3D3t7eODg4EB0dTfHixYmMjOTSpUskJiaq64voPjflJC919cSJE9XzOK8x9U2JlZd6097enq+//vqFY+YmL/WYMn3oi5ZR14vWJ2PHjuXMmTM4OzszevRoddaBnJ4R9E3pqfvavFxrlftgZ2dnxowZQ7ly5WjRogWrV6/m0aNHnDx5kjp16jwzakOZjm/JkiWcP3+e2NjYPNVhLi4uBulk/E+Q5IN4ZWm1WuLi4rCxsXluY7EhGpN9fX2pUKECmzdvVhdVjYqK4vLly+qFxNjYWB3KmFtPZENSelsOHjwYa2trPD09s/QcLsh2AWrXrs2qVatISUnh+++/V+cNnDt3rvqQaih//vknO3bsICAggKSkJBwdHYmKikKj0WBtbc20adOoVKlSgePUqVMHX19f9u3bh7e3N1///wLGBZ3PMS8iIiLYsWMHBw4c4OjRo6SkpGBvb09MTIzBy9mpUyc8PDzUKVuioqKIiori2rVr6mtMTEzw8PDgs88+M0hMXbq9iD/44APS09P58ccfuXLlCosWLcLHx8cgyQcHBwc+++wzRo8eTUhICFevXuWbb74hOTlZPbbKwpGTJ082yHdTt8HxypUrajIgNTWVUqVKqfNKA/zwww+5TqGVlxEIug2dzZs3x97enrlz53Lx4kXi4uL4+OOPCQ4Opn379lSoUCHLqJJHjx6xa9cuHjx4oCb1lG2WLVtWnX4HMnvJrFmzhkePHtGtWze1Z8XzGnZ1/1a6dGnefvtt7O3tWbJkCS1btqRmzZokJyc/t5x5Oe66/5qYmJCcnAygDs/fvHkzkDk8Py/HNj+U+DExMWzfvp2QkBBKlSpF7dq1cXZ2fuGYyvF1d3dXp9UqU6YMkydPJikpiXbt2qlzlyoLyH388cc4Ojri4eGhTh2Sl5i6Dx+1a9fOU/34+PFjdu3axb1793Bzc8PT05OSJUvm6bxVrgHK1Fzjx49Xh9EHBARgb29Pt27d8PDwyLKvYWFh/PrrrwQHB+Po6Iivr68auyCfp3KNL1OmDC1atCA0NJSnT5+yYMECLCws8PPzy/J9K8g5pCwEeOrUKXXtHd1pyyDzHNq0aRMXLlzA0dGRVq1aUbp06efG1E1gVKpUiUqVKtGsWTPg2e+r0ttP+b9Hjx5x7NgxtTdX06ZNqVatWpYe8Mo22rRpw5kzZ1i1ahXBwcEcOHCA9u3bq9v83//+R7Vq1Th27Bhr1qzh4cOHPHz4kGvXrqnH0dTUFDc3NyZPnszq1avRaDIXkH7RmC9KmaLn6tWrBo+puzjrtWvXWLNmDVu3biUjI4M5c+awbt06g8XUarX8/vvv7N69m8OHD5OYmJjlvkGZgnPt2rX5jqmcG8oUjcHBwaSkpGS59ug2Ami1WtLS0ggODjZYOcPDw9m2bRtHjx7l1KlTJCUlYWNjoyaYHRwcqFSpEsePH89XPGV04ujRo6lWrZqaYImMjCQyMlJdzwnAwsICLy8vxowZw6pVqwx6/igjv5Q1h9LT01myZAl//fUXS5cupUmTJgU6rsrfK1SoQLdu3YiLi1MXXr1x4waJiYnqcTUxMcHZ2Zlp06axZs0ag5RTed+5c+fUhlVlrRml57gySvfSpUts3rxZXZemQ4cOamNLpUqVsLe359KlS+zcuZPQ0FBSU1Oz3Dc2bNgQV1dX1q5dy5EjR7h+/Trr1q1jz549zJ49m/Lly5OQkMD169eJjY1Fo9Go1668xtPXiPu8+yILCwt1upbPP//coDEtLS2xtrYmKSmJhw8fEh8fz5IlS9i0aRMA77//PvPnzzdITMj8bo4cOZISJUrg7u6udgYIDg7m0qVLAPTs2ZMff/yxQDFtbGwoUaIEly5d4qeffnrm/id7B7HDhw+zbdu2ApdTeY4PCgpiwoQJFC9enPLly1O1alUuXLjApUuXuHjxIpDZI/tFy6l7zvr5+VG2bFlmz55NcHAwMTEx/P777+zfv5+ZM2dSvHhxkpOTuXz5MpD5Xendu3eBj232cygjIwNXV1emTZvGgAEDuH79OidOnKBo0aJYWFjw4MGDF/5uZo9pZ2dHhw4d1EZYZUSDm5sbpUuX5syZMwQHB3Pz5k00msx1BPJbTn33sjt37uTYsWPqIslBQUGcP3+egIAAAL744gu1I6Wrqys1atTg4MGDDBgwgEePHrFgwQJu377N77//TnR0NP3791dHKmc/H5WRRvrqakdHR+bOnZtlkeiCxgwNDdVbbxZWTMi9Hlu2bBlvvPGGmnwoSDzl37Nnzz63Ptm4cSObN2/G1NSUTz/9NMfONw8ePCAkJIRt27YRGhqqXkv9/Pxwd3dXp6BV9uF519pWrVqxYcMGTE1NGTNmDN7e3kDm/X+xYsV49OgRW7dupVevXlnWuVP2p0GDBjg7O/Prr79y7Ngxrly5kmsdZmRkxLRp0/LcQfDfRpIP4pW1Y8cOfv31VwYMGEDTpk0Lrbe6LldXV4YMGULnzp1ZtmwZoaGhnDt3DktLSzIyMujatSsNGjQo1OmW9ClRogRDhw41yFoPusqUKaPelEVERACZQ8Fbtmxp0DiJiYnExMRkabhVFvrz9/fHz89PbVgpKKUHgKurKyNHjgSenfKpsFhbW5Oenp6lnMq0Iu3bt6dNmzYGKyeAh4cH33zzDefPn2fNmjXcu3dP7eVnbW1Nz549qV27tsETDwrdCrZnz54kJiayZMkSOnTooC56bAhKkmX69OkEBwer6xoox7Zr1668+eab6jBXQ1KmJ1OmVlE+10aNGtG1a1datGih970vMgJBt0G0Zs2afPPNN/zyyy8cOXKEkJAQli9fTnBwMOXLl8ff3x8TExPCwsI4cuQIW7duBeDjjz+mbNmyau8SpRdH3bp1adWqFTNnziQ8PJwNGzYQFxdH9+7d8fLyeuGRAnZ2dmqDcp06dQw60gL+nm9d6Y0HsGXLFhYsWADAd999p94AGiLmjRs3OHXqFNWrV6d48eI4OTlx9OhR9u3bx+rVqwEYOXKkOhT6RWMqx9XHx4cVK1Zw+fJldcqqGjVqMGPGDODZBOn//vc/9bPMT8zsn+epU6cICgqiSpUqlCtXDicnJ06dOsWhQ4dYunQpAMOHD1cfEPISU/ca0LBhQxYsWMDkyZMJCgoiISGBjRs3cu3aNdzd3WnTpg0pKSncvXuXw4cPq8Pwx44dqw7XN9Q5ZGFhwcCBA7ly5Qr79+/n7t27/Pbbb1hYWODj46Oe8wU5b7t27crx48e5dOmSOuqjd+/eODg44OjoyKFDh9i/f7+6GPfo0aPVzgN5vSYodBsUdL+r165dIzY2ljJlylCyZEm1vGvXrlW34eHh8Uwvbd2HL936QVksUZmexsjICG9vb7y8vOjYsSMrVqxQF0S0trbGyChz3Y+GDRvi7OyszuNbtmzZF475ooyMjEhISCiUmJUqVcLGxoaEhAR27drFtm3bgMypQSpVqmTQmMrCgtnvG0xMTOjSpQvt27fH3d29wDGV871NmzbcunWL0qVL6732FMaxTUlJwdjYOEs54+LiMDY2pnPnzjRr1ozPPvss3/GUKc6MjIxo37493t7edOvWTU2a3b59GwcHB2xsbOjduzc1a9bE2tq6UM4fY2PjLD1HU1JSWLVqlToFRUFi6tbXnTp1wtHRkU2bNhEcHJzluCo9sdu0aUO5cuUMWk6tVou5uTlWVlbqvZHSUNSsWTN69eqFt7c3y5YtIy0tjYoVK+Lt7a0+wyj77+joiI+PDzt37sTJyYmwsDDu37/PX3/9RXx8PD4+PlSqVIlPP/2UZs2aqc+GyoLAyr2gkZERHh4eVK1alT///DNf8ZQ1FEqWLEnZsmWfe1+kJF4jIiLyXcacYkLms4SNjQ0RERHcvXuXxYsXs3jxYjIyMpg6dSqxsbEGiwmZDbiXLl3i0qVLHDx4UL3vMDExoXjx4owbN44HDx4UKKaPjw/u7u74+/tz//59Hj16hKenZ47XIGWbd+7cMVg5k5OT2b17N7du3eLWrVucOHFC/SwNVU7lnK1SpQozZ85ky5Yt6khppZOB8p0yMjKiQYMG6rz6hjyHlPelp6fj5OTEtGnT+PrrrwkKClIbSgt6bH18fChfvjwDBgwgPj6eHTt2EBkZyY4dO9R9gMzrcqlSpRg9ejTh4eEGPW+Vnvj79+8HYNmyZWi1WkxMTDAzM2Py5MnUqlUry/lVuXJl9u/fT0BAAPPmzaNYsWJq58tdu3bx6NEj+vfvT40aNdT7W2WR9eTkZJ48eZJrXa3EM0RMpRxGRkZ6601/f3+DxlQa5EF/PdazZ0+1od1Q8XKrT3r37s39+/eZPXs2AMOGDcuyvqvSxnP58mWmTp3K5cuX1U4NShvX4cOHqV69Ot27d6dFixZqu6K+ay1kzpzx66+/Apn378rzfkZGBvb29vj5+bF48WKioqK4cOECvr6+aj2qXMszMjJwc3Nj2LBhNGnShP3797N69epn6jBjY2M8PDz48MMP1efbV5EkH8Qr6dy5c+qQRU9Pz3yvAZAfRkZGuLi48Pnnn5OcnMzjx48xNzcnLS3NoFMQ5YehEw+QOSTVz8+PnTt3otVq6datGwMGDDB4HAsLC2bMmEFUVBQHDhwAoFixYpQpUwYvLy+DxytevDhjx45Vb75eRuIBMocJz5w5k8jISPVBz8rKCjc3N2rWrJnnxt0XYWlpSYMGDWjQoAExMTFqz+mMjIxCnxoM/m4gK1GiBF27dqV27doGT14p2//222958OABR48excjICFtbW1xdXalatarB4ykqVKjAsmXL2Lt3LwkJCSQlJVGuXDmqV6/+3GGr8GIjEBQZGRm4uLjwySefUL16dQ4ePMiOHTsICgoiKCiI33//HSsrKzW5ADBixAi1h6LymSg3cYmJiXTp0gVbW1vmzJlDaGgoW7ZsIS4ujq5du+Lr6/tCCYiMjAzMzc2zJGINOdJCt8E3PDyc06dPM336dAAGDx5Mp06d1G0YIua+ffuYOXMmTk5OGBsb4+rqyunTp9Wb02HDhtGuXbsCx6xWrRpubm7cunVLnVpEmXYgtwSpIcqpjJBZtWoVDg4OaDQaXF1d1d5+Sjnbtm37wuVUaLVaypcvz6xZs9QRWefPn+fChQtcuHBB7WWXlpYGZN70Dxo0yCDHNjulcWzWrFmMHDmSffv2cezYMZKTkylfvjylS5cu8LEtXbo0rVq14tGjR9y/f59169Zx9OhRdfG/oKAg9RwaPnw4HTp0yHc5dUcFKT+Hh4czY8YMbt26RXp6Oh4eHur0JJBZ7yoLM+a0/8q+1a9fHwsLCxITE7l9+/Yzf4fMxpnSpUszbtw4UlNTiYuLw9ramtTUVLUhMzw8HHNzc1JSUvId80UlJiYWSkwnJydq1arFgQMH1AaxgQMH0qlTJ4OXs1SpUkyZMoWkpCSOHDmCkZERNjY2uLm5qSP5DBFTo9FgZmbG//73P3XqLNB/7TH0sa1YsaJazsOHD6PRaChWrBjly5encuXK3Lt3r8DxdJOhzs7OODs707BhQ+Lj40lOTsbW1pb09HS1x2ZhnrPKNlxcXOjRowc+Pj74+PgY7LNUGjmaNGlClSpVePr0KcePH1cX0C5VqpSa7DR0OY2MjKhSpQpr164lICCAhIQE0tLScHd3p3LlylhbWwNw7Ngx9RqhjMrUPTbKvkHm9CwffPABsbGx6r3NunXrqF+/vjo1Xf369enQoQMnT57kxo0bREVFYWpqSuvWralevTozZ84sULzffvuNhg0b4u/vT+vWrXOtY5S/FbSM2WNCZk/fihUrcu3aNbUnLsCQIUPo1KkTgwYNMkjMDh064Ofnh52dHW3atGHfvn3q6JGiRYvSs2dPGjRoQOPGjQ0Ss2nTplSsWJGaNWsSFham9/7H0Me2Y8eOtGrViooVK6rlBNRRC7169aJhw4Y0adKkwOVct24d9erVo3fv3vTs2ZM2bdpw9uxZ9uzZw6NHj3j8+DEuLi60bNkSLy8vnJycWLNmTaGct0rdVaFCBYYMGcL06dNp0KABdevW5eeffy5wzHr16vH222/z+eef4+HhwdGjR9m5cycmJibqtt9++23q1atHvXr1DHbeKuV0cHCgadOmnDp1ClNTU2JiYjA1NaV9+/b4+PjQpk0bdbvKsWjTpg2rV6/m/v37pKWl8d5771G6dGm++OILYmNjOXz4MI8fP6Zv3760aNGCx48fM3fuXExMTBg+fDjfffddrnW1roLEnDNnDqampgwfPpypU6eSmJiYY72Z/RpliHIqa9rofjbZ6zFDxuvfvz9Vq1bVW58ULVqUtWvXYmZmRkpKCvv376dt27aUKlVKvXZERETwwQcfcP/+fSDzOdLW1pbIyEjS0tKIjo7myJEj3L17l5iYGHXNCQsLixyvtZ07d1YTD/3796dLly7qNUo5Jo0bN2bJkiXEx8ezdOlSGjZs+ExbnfJsbWlpSePGjWncuDHt27fn+PHjOdZhhp515GWT5IN45dy6dYvvvvuOe/fuUbduXUaPHg08v6GhMJiamqqNYNkXo3ldaDQa/Pz82L59O9WrV2fSpEmFFsvMzAwXFxf69OlTaDF0Zb/5elnMzMxwdXXlrbfeeqlxIbNHulLuf+KcdXd3N8i0YPqYmppSunRpevbsWWgx9MXVvYl9UfkZgaDVarGwsKBTp040bNiQ1q1b8/PPP/P48WNCQkLU6YiaNWuGr68vvXv3VuOlp6eTkZGhTkNQtWpVihYtSsuWLXF0dGT27NkEBQWxe/du4uLiiI2Nxc/PT++6FdnpuxYbaqRFhQoVcHR05NGjR+zYsYNDhw6RmJhI27ZtGTFihEFjKolCQB39pfS4qVq1Ki1atHhmUfr8fp7m5ua8+eabLF++nKSkJObPn4+Dg0OeRmYVtJwPHz5Up/pQFixWRpVUq1aNli1bMmTIkALFNDIyIj09HSsrK0aOHImPjw9nzpxh5cqVpKSkqMPEixQpQtu2bfH19cXPz8+g5VQovZ3MzMwYOXIkxsbG7N69GwsLCzXxUJCYSi/ywYMHY2Fhwfbt27l69araM005h2rWrEmLFi3o37+/QcuZkZFBZGQk169fV2Mp/5YqVQpfX18OHDhAeHg4e/bsoXnz5no7UDg4OGBlZUViYiJ37tzJce5h3cZOExMT9d5I97xVpnOIiYkxSMy8KIyYSjmbN2/OkSNHSEtLo3Xr1nz88ceFFtPBwQFAb91mqJhK2Tp16qSWVd+1pzDKqZw3uvWVoePpxlR6ZVpbW6sLXeom1Qr7nNUdTaCMKDBUTN1yODg44ODg8My1rTDLqVwDlQbznCiJySdPnpCUlKQmfZT3p6SkqPWu0jPc1tYWExMTihQpwpMnTwgICODRo0dotVqaN2+Ot7e33p6hhoi3b98+oqOjMTY2pmXLls99/iyMmBqNho4dO3LgwAGSk5NJS0ujVatW6v2PIWMWLVqUHj160KlTJyIjI4mOjlZHBDo7Oxu0nLt27SIpKYmGDRvy5ZdfUqJEiVzvfwxZTgsLC3r16kWXLl14+PAh0dHRmJiYYGNjQ6lSpQwa88CBAzx69Ij09HTeeOMNmjVrRuPGjfVOlVTY562JiQkNGzbk+++/p0qVKgYtZ0xMDFqtli5dutC2bVtGjhzJ48ePMTExoVixYmojdmGVs3fv3rRu3ZqHDx/y9OlTihUrlutUuMp6HyEhIRw6dAh/f3/efPNNnJycGDduHNevX+fUqVMkJCRw//59wsPDWblyJXZ2dvzvf/9TvxMv8hyan5irVq16JmZO9aahy+ng4MA777yT4zZ16zFDxbO3t1fj5VaftGzZkhs3brB582auXr3KsmXLGDBgACVLlkSr1fLpp59y//59qlWrRqtWrfD398fW1pa7d+9y9epVVq9eTXBwMLdu3WL9+vWUKlVKXSs2+7W2efPmnDt3DoB27drRv3//HKeR9vT0pF69egQGBnLt2jVOnz5No0aNnhlJmr3+qFWrVpbRKq8TST6IV0pUVBSzZs0iODiYEiVKMHfuXODlTZmTne6N/ctuwH6ZWrVqxZw5c2jUqNE/vSuigHQruNf5nH1VFGQEgm4PTicnJ/z8/GjatKk6n6W5uTnGxsbUqVPnmc/a2NiY2NhYLl26REZGhjp/uYWFBfXr12f8+PH89NNP7N69mxMnTqjDP/39/dWhtC+rnDk91FtbW+Ps7ExUVJQ69VLVqlX54YcfDB6zePHifPrpp0RERLB161aMjY2xsbGhfPnytG7dOsv0YQX9PM3MzHjrrbd48uQJjRs3xsvLK9fGP0OWs3LlyowdO5YHDx6wdetWtfeUu7s7fn5+WR6+CxLT2Ng4y3Q93t7e9O7dm6tXrxITE4ONjQ1WVlbqQpCFdQ7B33W4u7s7ffr0oWzZsmoDsiFiKuV85513qFWrFnfv3mXXrl1qz+OyZcvStm1btWHZkOXUaDLXq5gzZw4bN24kPj6elJQUypcvT/PmzalSpQphYWGEh4cTHBzMyZMnadWq1TPHSNkPY2NjNBoNKSkpeo+pkZHRM/djutNkWFpaUqFCBYPGBP33gIUVUzlvunTpwoYNG4iIiFCH+xdmOZWFf5U4yusMGTP7Yug5zfX8T5SzsOIZGxv/o+ds9uP9qp8/upS/KzFzOpcqVarEtm3bCAkJYcuWLXTt2jVL79GLFy/yxx9/ANCgQQMaNWpE8+bNefr0KRcuXGD//v0EBgYSFBTE5s2b8fHxwczMTI2Vnp6eJRFTWPFyU1gxy5Urh5ubG5cuXcLT05M5c+YUSsw1a9ZQv359teOUq6troZbz4MGDWFhY0LdvX4Bc738MXc4GDRpgZmZGqVKlstzzFEbM4OBgfv/9d5o0aYKZmZl63UlPT88yLUthnkMKJVGoJB4MGfP8+fOsXbuWBg0aYG5urvf8MXQ5N23apJbT3t4+T88uGRkZ2NnZ8cYbb7By5UrOnj2Lv78/AF5eXvz0009MnDiRQ4cOceHCBe7fv6920pk0aRLOzs5668zXJebEiRPVBv28xixIvG+++SZP8ZycnHj77be5fPkyQUFB7Nq1i8qVK9O9e3c2bdrEyZMnKVWqFJ9//jmenp4UKVIErVZL5cqVqVy5MvXr12fq1Kls376d8+fP88cff6jJh+zX2pkzZzJ9+nQ8PDwYNmyY3nPL0tKSdu3aERgYSExMDBs3bqRRo0Z5an/RV4e96iT5IF4ZCQkJ/Pzzz+zevRuNRsOiRYuwtbX9xxIP/zU5PYQIIQqmoCMQdB9OtFotRYsWzfPokuTkZCpXrsz169fVqc2Um50qVarw6aef4uTkxMqVK7l06ZKagOjWrZvaezKvI84MOdJCeUjq0aMHt27d4smTJ9jZ2bFw4UKDx1TKpyxa9rzRLQWJmZGROVd/iRIlGDt2rHpz+rzjWxjl1J1aqTBi6t5Ep6enY21t/dy1kgpztI5Go8lxvSZDlFP5Tnl5eeHl5fXchZMNWU5jY2M8PT3x9PQEnm2kHzZsGBcvXiQ6OpqNGzfi7e2dJRECmaO6TExMMDU1JSMjI9cHwJiYGPbt20f58uWf6Xms0WRO6fO6xNy5cyfe3t4sWbJE7fn9MsuZPdFkyJjKtv8Nn6eyL6/b+fOyPst/OubevXtxd3fH29s7x9cpU0g8efKEY8eOqetVQWa9tGLFClJSUmjatCmff/455cqVU99bpUoV6tevz48//siOHTvYu3cv69ev56233lJjZW/kKax4udWXhRWzdOnSfPjhh0yYMIEff/yx0GIGBAS89HLu3LmTunXrvtSYAQEBrFu37h/7PPWds4UZM/u0jYUVU1nb6mUe23379uXpvNWlvKZu3bqsXLmS4OBgEhISsLKyIiMjg1KlSvHDDz8wffp0fv31V7WBvGbNmjRu3FjdxovMxvFfiPky4mVkZFC+fHmmT59O//79CQkJYerUqVSsWJGEhASMjIzo27cvXl5eOS5S7uTkxKhRo0hJSWHv3r1s2rQJPz8/fH19n7nWFilShDFjxhAXF6c38aDsa6tWrdixYweBgYEcOXKEXbt20bp16+cmU3K7HrzKXo8UinjtabVali1bxrJlywCYO3cuHh4ez+0RKoQQ/2bGxsYkJCTkOgJBSfydOHGC5cuXs3btWnUhbV0v2ivCycmJ8ePHU7duXXUBYd1tlC5dmsGDBzNq1CiKFClCaGgo69ev5+eff1bXAVBuBl9mOZUbz0aNGqnDXBcsWKBu05AxdW9yC7ucSs8WrVab63BcQ8bMKYZWq31uXEN+nnm9sTZkzOyUzzb7/YQhYup+p172dyV7TN3yZWRkULFiRfr27UuXLl3o2bPnMw2NCo1Go07B8ujRI7X3s66nT5+yaNEivvzySxYvXpxlvZnXMebEiROZPn06Go1Gnb/+dSznvynmf6GMr1vMr776Sm9MAF9fX95//31q165Nz549sbCwyBLn3XffpVOnTvTr109taFSuaaampuoIROV9z1tro7Di5VZfFlbMjIwMmjdvzvbt23Fycnpty/lfiZmb16mc/7aYOVHWpVF60euysrKiTZs2WFlZqdsNCwtj3LhxnD9/Xk3mKPfSEvPlxFP+VqpUKSZNmkSlSpVISEigf//+zJ07F61Wi6enp96pzQCcnZ1p2rSp+vutW7cA1Cn9dK+1xsbGuY6mUcpgZWVF06ZN0Wq1xMXFsXPnTuDvUab/NdJqK14JRkZGas+9jz/+WF2s9nUZgiSE+O96mSMQsitfvjzTpk3DzMwsx204ODjQu3dvihcvzuzZs7l//z5btmwhPj6ebt260bhxY/WG73nXY0OWMyMjA1dXV37++Wfu379PjRo1Cj1mXo9vQWNmn4bjZcTULWde69V/4rwtrJi57cOreA7lJaZGk7m2Ru/evYmPj1cTkNmPj1arRavVkpaWpp6bSUlJAOpDXFpaGhs3blQ7iLRt21adu/l1jtmhQweKFi362pfz3xLzv1DG/1JMRf/+/enWrRtubm7P/M3Lywt7e/ssnQt098fIyAg/Pz+WLl1KcHAwN27c0Bvnn4pXWDGV1+R0DXqdyikxJWZhx8zOzc2Nxo0bs3PnTm7evEmTJk3UODdv3mT69OkkJCTg7u5OREQEUVFRHDhwgMePH9OnTx+aNWv2wm1U/4WYhR1P+Zunpyddu3Zl6dKlPHjwgCJFiuDm5qZ3LSDd9/fo0YMVK1Zw8+ZNLl++nGW7+q61+ij1Z69evTh79iw7d+5kx44dVKhQgaFDh+bruf1VJy234pXRrFkzjhw5wsCBA4G/e2cKIcSr7GWOQMiJMu+rvpsgKysr2rZty8SJE6lWrRpJSUns2LGDJUuWsH37dlJSUvJ082nIcioJj8qVK9OsWbOXEjOvJKbEfJVi2traqjGU9+lS4qanp6uLohcpUiRL77H9+/fz/fffAzBixAh1Ll+JKTELI+Z/oYz/tZg5NTRCZu9SNze3HBfzhL/XoLCzswMy17VQ9u3fEk9iSkyJ+e+OqSs9PR1AHVnx559/kpCQgFar5eHDh8ycOZMLFy7g4uLC+vXrWbVqFW5ubupUUVOmTFEbrSXmPxPPwsKCrl27qqMYkpOTiY6OJiQkJNf3paWlodFosLGxATKn/9Ld9xel1J9mZmb4+PioC6gfPnyYK1euFGjbrypJPohXiqOjI/D3YkxCCPE6UEYglCtXLscGQ2UEwoQJE3B2diYmJoYtW7bwyy+/EBgYCPw95LQwmJmZ0ahRI77++mveeOMNAAIDA5k9ezZ//vlnnrdjyHLmtQ74J46txJSYr2JMfZQFsgGSkpJ4+vSp+rczZ84wefJkUlNT6dy5M4MHDy5wPIkpMV+1eBKzcGPqY2pqyqNHjwgPDwegfv36GBsbF9oz4suOJzElpsR8uTGVqUBbt25NsWLFiImJURvJFy1axN69ezE2NmbBggVYWlri4eHBokWLaNy4MampqXh6emZZuFti/jPxrKysmDhxorpmRJ8+fXB2ds71PSYmJkRHR/PgwQMAddYVQ6y7oExnCBAUFMTy5cvVbf+XOlTLtEvilfS6Lb4ihBB5HYHg4ODArFmz+Ouvv9ixYwfx8fHExcXRsmVLdRuFQVm8dsyYMTg7O7NmzRpCQkKoWbPmC23nnyinxJSYEjP/dBeq1mg0JCYmYmtry82bN5k6dSoPHjzA29ubKVOmFDiWxJSYr2I8iVm4MbPT7YBw8+ZNHj9+TLFixahYseJrEU9iSkyJ+c/GdHFxwd7enjt37rBr1y5SU1NZtWoVkLn2aKVKlUhPT1dHY0ybNo1169YVKOH6X4j5MuNpNBomT57MyZMnadWqFUWKFMnxdUo8gBs3bpCamoqdnR0VKlTIVxn1bf9///sfN27cIDAwkE2bNlG0aFHGjRuXr+l2X1WSfBBCCCFeEcoIBFtbW+bPn09AQACBgYGEhYWRmJhI165dCzW+RqPBzc2NwYMHY21tjaenJ+7u7gaP80+UU2JKTImZMxMTE3Wag4SEBOLi4ihSpAizZs3i/PnzODk58eOPPxY4jsSUmK9qPIlZuDF1Ex7w9/RP169fV+f1rlmzJr6+vq9kPIkpMSXmvydmRkYGxYoVo379+ty5c4dNmzZx9epVAMaMGUPz5s2zxAWwt7cvUBLgvxDznyijk5MTHTp0UONrNBqSk5PJyMjAzMwMIyMjNfFw9+5dVqxYQWRkJN7e3uqoiYJStu/q6oqfnx/BwcEkJCSwZ88enJyc6Nu3b5bF1V9nknwQQgghXiGGGoFQECVKlGDo0KGvxEgLiSkxJWb+KQ9rJUqUADLnVL516xa7du1iz549aDQaFi5ciK2tbYFjSUyJ+SrGk5iFGxMyp6lYvXo19erVw8XFhfLly7Njxw6OHj3K8ePHMTMzY+LEiS+8IOi/JZ7ElJgS898TU+mB3rhxYzZu3KjOz9+rVy/effddgBea/lVi/jPxcoqv1WrZv38/W7ZsoWbNmri7u1OmTBkOHjzIiRMnCAwMxMzMjPHjx+tdWyQ/lLqze/fuREZGMmfOHCIiIti2bRvW1tb4+/sbNN6/lSYjvytUCiGEEOIf9fDhQ1avXo2npydvvvnmP707heafKKfElJgS82/bt2/n448/BqBkyZLqnLjz5s2jZcuWBosjMSXmqxpPYhZezPHjx/Pbb79hbm5OUlISjo6OREVFodFosLKyYtq0aTRr1uyVjScxJabE/PfFjImJ4csvv2Tfvn14e3uzevVqIOs0PYb2X4j5T5RRcf/+faZMmcLu3bsxMzMjJSUFe3t7YmJiCvWchayJlblz56ojBF1cXFi1ahUuLi4Gj/lvIyMfhBBCiFfUyxiB8G/wT5RTYkpMifm3MmXKYGRkhFarJSIiAoBPPvmk0Bo3JabEfNXiSczCiZmYmEhMTAylSpUiLCwMgKioKAD8/f3x8/MzaEPRy44nMSWmxPx3xrS3t+frr7/G1dWVkSNHAs9O+WRo/4WY/0QZFdbW1qSnp2c5f2JiYgBo3749bdq0KZTEA5BlbYeePXuSmJjIkiVL6NChw38i8QAy8kEIIYQQQgiRi4yMDEaNGsXOnTvRarV069aNSZMmSUyJ+a+N+V8o438lZkpKClFRURw4cACAYsWKUaZMGby8vF6LeBJTYkrMf29MpcH4ZfTM/y/F/CfKCJnnT2RkJAcOHCAjIwMrKyvc3NyoWbPmS130+ebNm9y+fbtQOwr820jyQQghhBBCCJGr3bt389FHH1G9enXWr18vMSXmvz7mf6GM/6WYQgghhHg1SfJBCCGEEEII8Vy7d++mUaNGWFlZSUyJ+UrE/C+U8b8UUwghhBCvHkk+CCGEEEIIIYQQQgghhBDCoIz+6R0QQgghhBBCCCGEEEIIIcTrRZIPQgghhBBCCCGEEEIIIYQwKEk+CCGEEEIIIYQQQgghhBDCoCT5IIQQQgghhBBCCCGEEEIIg5LkgxBCCCGEEEIIIYQQQgghDEqSD0IIIYQQQgghhBBCCCGEMChJPgghhBBCCCGEEEIIIYQQwqAk+SCEEEIIIYQQQgghhBBCCIOS5IMQQgghhBBCCCGEEEIIIQxKkg9CCCGEEEIIIYQQQgghhDAoST4IIYQQQgghhBBCCCGEEMKgJPkghBBCCCGEEEIIIYQQQgiDkuSDEEIIIYQQQgghhBBCCCEMSpIPQgghhBBCCPEv17x5cypXrkzlypULtJ25c+eq2/n9998NtHdCCCGEEEI8S5IPQgghhBBCCCGEEEIIIYQwKEk+CCGEEEIIIYQQQgghhBDCoEz+6R0QQgghhBBCCJG7/fv3/9O7IIQQQgghxAuRkQ9CCCGEEEIIIYQQQgghhDAoST4IIYQQQgghhBBCCCGEEMKgJPkghBBCCCGEKBCtVsuOHTv46KOPeOONN6hevTq1atWiRYsWjBw5kq1bt5Kenv7M+06cOEHlypWpXLkyY8aMyTVGWFiY+tq3334719ceO3aMESNG4Ovri6enJw0bNqRfv35s3boVgKCgIHVbc+fO1budpKQkli9fTp8+fahbty7Vq1enefPmfPnll9y4cQOAr776St1WWFjY8w5VvjVv3lyNk5szZ87wySef0KxZMzw9PWncuDEDBw7k4MGDub7v/PnzVK1aVY2xbNkyva+9efMmXl5e6ms3b96cjxIJIYQQQojXnaz5IIQQQgghhMi3mJgYhgwZQlBQUJb/T0lJ4enTp4SFhbF9+3bmz5/PwoULKV26dKHtS3p6Ol999RUbNmx4Zh+PHj3K0aNH2bx5M/3793/utkJDQ3nvvfe4e/dulv8PDw9n3bp1bNq0ic8//9yg+18QWq2W7777juXLl2f5/6ioKA4ePMjBgwfp2rUrTk5OOb7fy8uL999/nwULFgAwe/ZsWrdujbOzc5bXpaWlMXr0aJKTkwFo06YNnTp1MnyBhBBCCCHEK0+SD0IIIYQQQoh8+/jjj9XEg52dHc2bN6d06dKkpqZy584ddu/eTWpqKjdv3mTAgAFs3boVU1PTQtmXzz77TB3dANCgQQPq1KlDWloaJ06c4Ny5cxw+fJhbt27lup3w8HB69+5NZGQkAFZWVrRq1YoyZcoQGRnJ7t27iYyMZMKECbi4uBRKWV7UuHHj+P3339Xf69evT506dcjIyOD06dOcPHmSjRs3Ymtrq3cbQ4cOJSAggKtXr/L06VMmTJigJiMUCxYs4MKFCwCULFmSCRMmFEp5hBBCCCHEq0+SD0IIIYQQQoh8OXv2LMeOHQPA3d2dNWvWPNO4fffuXfr06UNkZCR37txh586ddOjQweD7sm/fPjXxYGFhwezZs/H19c3ymq1btzJmzBjCw8Nz3daUKVPUxEPNmjWZN28exYsXV//+ySef8OWXX7J161bu3btn4JK8uMDAQDXxUKRIEWbOnEmLFi2yvGbv3r2MGjWK2NhYvdsxMzNj6tSpdO/endTUVAICAti1axetW7cG4K+//lKTERqNhu+++w4bG5vCKZQQQgghhHjlyZoPQgghhBBCiHwJDg5Wf+7Ro0eOverLlCnDiBEjgMwG64sXLxbKvkybNk39edKkSc8kHgDat2/Pl19+met2goKC2LNnDwDFixdn4cKFWRIPAJaWlkybNg1vb28D7HnB/fDDD+rPY8eOfSbxANCyZcs8jVKoUqUKQ4YMUX+fNGkSCQkJpKSkMGbMGFJTUwHo168fDRs2NMDeCyGEEEKI15UkH4QQQgghhBD5YmxsrP6cfc0HXW3btmXbtm0EBwczduxYg+/H1atXuX37NgAVK1akffv2el/bo0cP3Nzc9P59586d6s/9+vXTO02RkZERH3/8cf522IAiIiLUhI6joyM9evTQ+9pOnTpRtmzZ525z0KBBeHp6AvDw4UPmzp3LvHnzuHbtGgAeHh6MHDmy4DsvhBBCCCFea5J8EEIIIYQQQuRLvXr11J937NjBe++9x44dO4iPj8/yOktLSypUqECRIkUKZT8OHjyo/pxTr39dGo2GVq1aGWRbderUwdHRMY97WTiOHj2q/tyoUaMsCaGcNG/e/LnbNDExYerUqZiZmQGwatUqfv75ZyBzWqfp06erfxNCCCGEEEIfST4IIYQQQggh8sXDw4OOHTuqvwcGBjJixAgaNGhAz549mTdvHufPnycjI6NQ9+Pu3bvqzxUrVnzu6ytXrqz3b6GhoUDm+ge5jZDIy7ZeBt31K9zd3Z/7+rzub4UKFfjoo48ASEtLIz09Hchc7yIvx1gIIYQQQghJPgghhBBCCCHybdKkSbz33nuYmJio/5eenk5QUBBz586le/fuNGvWjBkzZuS62HFBREVFqT9bW1s/9/X6plKKjY1V1zSwtrZGo9Hke1svS3R0tPpzXspuZ2eX523379+fMmXKqL87Ojry1ltvvdgOCiGEEEKI/yxJPgghhBBCCCHyzczMjNGjR7N//37Gjh1LvXr1MDU1zfKaBw8esGjRIlq3bs3ly5fzFSe30RNKwuB5r3vea1JSUtSftVptgffrZchLgkRX9s8mN8eOHcsyqiQqKoqVK1e+UDwhhBBCCPHfJckHIYQQQgghRIE5OTnx7rvvsnLlSk6ePMnixYt57733sixwHBsby/Dhw3Ns2H9eI75uYiA7Gxsb9ee4uLjn7uvjx49z/H/dUQwJCQl5SkBkX9/iZdNdc6IgZc8uISGBcePGqb8rSY6ZM2dy69atF9xLIYQQQgjxXyTJByGEEEIIIYRBWVpa4uPjw+jRo9m1axezZs1Se9yHhIQQFBQEgJHR348juSUXAB4+fKj3b7prHdy4ceO5+3f9+vUc/9/MzIzSpUsDmaMp7ty589xt5SVeYXJ1dVV/vnr16nNff/PmzTxt99tvv+X+/ftA5sLb/fv3ByApKYmxY8eqa0AIIYQQQgihjyQfhBBCCCGEEPkyZcoUevbsSd26dYmIiND7ujZt2lC/fn319wcPHgBgbm6u/l9MTEyusS5cuKD3b7rbPnDgwPN2m4CAAL1/q1evnvrzwYMHc93OlStX1LL8U5o2bYqxsTGQueB3YmJirq8/dOjQc7d58OBBfv/9dwCsrKwYP348w4YNUxMzQUFB/PLLLwXccyGEEEII8bqT5IMQQgghhBAiX0JDQwkKCiI+Pp4///wz19fqLozs5OQEQIkSJdT/O3/+PAkJCTm+98mTJ6xevVrvtr29vXFzcwPg2rVr7NmzR+9r9+7dy5UrV/T+vUuXLurPy5Yt07tPAHPmzNH7t5fF3t6ehg0bAplTKi1cuFDva48cOcK5c+dy3V5cXBxffPGF+vuoUaNwcnLC3NycCRMmqP8/d+5cvSNIhBBCCCGEAEk+CCGEEEIIIfKpa9eu6s+zZ8/WO1Jg2bJl6kLTzs7OeHl5AZlJCGXKpKdPnzJhwoRnpvOJjo5m8ODBuY4w0Gg0DBs2TP19zJgxHDt27JnXBQYGMnr06FzLVKdOHRo3bgxkjtAYMmTIM6MyUlNT+fbbb9m3b1+u23pZPv30U0xMTABYsGABK1aseOY1p0+fZtSoUc/d1jfffKNOcVWrVi169+6t/q1x48b4+/sDmdNkjRkzhrS0NEMUQQghhBBCvIY0Gc9b2U0IIYQQQggh9BgwYACHDx9Wf69Vqxaenp4UL16cuLg4Tp06xfnz54HMJMGsWbPw8/NTX79+/fosPe3Lli3LG2+8gZWVFbdu3WLfvn0kJSVRrVo14uPjCQ0NpV69eqxcufKZffnoo4/YtWuX+nujRo2oXbs2AGfPnuXo0aMAWFhYqNMTDRs2jA8//DDLdkJDQ+nRo4eadChWrBhvvvkmZcqUISYmhn379hEWFoaxsTFGRkakpqYCmdM5ubi45P9g5qJ58+aEh4cDOa/tsHDhQn744Qf19ypVquDj40ORIkU4f/48hw4dQqvVUrZsWXUtiylTpmQZ6bF3716GDh0KgKmpKZs3b6ZChQpZ4sTExNCmTRtiY2MBGD58OB988IEhiyqEEEIIIV4TknwQQgghhBBC5FtCQgLDhw/nyJEjub7OysqKcePGZWnsVkyZMoVly5bpfW+tWrWYN28e7777LtevX9ebfEhJSeGzzz5jx44derfVpk0bSpUqxeLFi4HMaYUGDhz4zOsuX77M0KFD1Qb/7MzNzZkyZQrff/+9ujBzYGAgjo6OemMXxPOSDwCrV69m8uTJekcj+Pj40LlzZ0aOHAlkTT7ExMTQoUMHoqKiAPjwww+zjCbRtWnTJsaMGQNkJik2bNiAh4dH/gsnhBBCCCFeSzLtkhBCCCGEECLfrKys+OWXX1i0aBEdOnSgbNmyWFpaYmJiQvHixfH29mbUqFHs2rUrx8QDwNixY/n111/p1KkTLi4umJmZ4eDgQP369Zk8eTKrV6/OU6O+mZkZs2bNYvHixfj5+eHs7IyZmRm2trY0adKEefPmMWvWrCzvsbS0zHFbVapUYevWrYwZM4ZatWpha2uLqakprq6u9OrViz///JO2bduqox4gc0TFP+mtt97ijz/+oHfv3ri5uWFqaoqNjQ21a9dm0qRJLFq0CDMzsxzfO2HCBDXx4O7uzqBBg/TG6dy5s7rORGpqKmPGjMlyHIQQQgghhAAZ+SCEEEIIIYT4jxk/fjy//vorkLlWhe40UC/Ky8uL5ORkLC0tn7uYsxBCCCGEEP8lJv/0DgghhBBCCCFEQTx8+JBNmzZRtmxZqlatSunSpXN9/fXr19Wfy5Url+VvBw4cIDw8nLJly1KjRg2srKz0bufu3bskJyfnuB0hhBBCCCH+6yT5IIQQQgghhHjlKYstly1bNsui09ldvnyZM2fOAGBnZ/fMgspXr15Vt/Xxxx/nOv2Q7roTderUyfe+CyGEEEII8TqSNR+EEEIIIYQQr7QSJUpQvnx5AO7cucPChQvRarXPvO7mzZsMHTpU/f2tt97C2Ng4y2saNGig/rxkyRKuXLnyzHYyMjJYs2aNmnwwMzOjV69eBimLEEIIIYQQrwtZ80EIIYQQQgjxytu5cyfDhw9Xfy9btiwNGzbEycmJ+Ph4rl+/TmBgoJqUqFatGr/99humpqbPbGvQoEEcOHAAAI1GQ5MmTahYsSLW1tZERERw4sQJbt++rb5+zJgx9OvXD4CEhAR+++03g5Wrbdu2ODs7G2x7QgghhBBCvCySfBBCCCGEEEK8FtauXct3331HUlJSrq9r3bo1kydP1ruew5MnT/jkk0/Yv39/rtspUqQIX375Jd27d1f/LywsjBYtWrz4zuuxYsUK6tevb7DtCSGEEEII8bJI8kEIIYQQQgjx2njw4AHr168nMDCQ27dvk5CQgLW1NU5OTtSoUYMuXbpQs2bNPG3r2LFj/PHHHwQFBfHgwQNSU1MpXrw4zs7ONG/enI4dO1K8ePEs75HkgxBCCCGEEJkk+SCEEEIIIYQQQgghhBBCCIOSBaeFEEIIIYQQQgghhBBCCGFQknwQQgghhBBCCCGEEEIIIYRBSfJBCCGEEEIIIYQQQgghhBAGJckHIYQQQgghhBBCCCGEEEIYlCQfhBBCCCGEEEIIIYQQQghhUJJ8EEIIIYQQQgghhBBCCCGEQUnyQQghhBBCCCGEEEIIIYQQBiXJByGEEEIIIYQQQgghhBBCGJQkH4QQQgghhBBCCCGEEEIIYVCSfBBCCCGEEEIIIYQQQgghhEFJ8kEIIYQQQgghhBBCCCGEEAYlyQchhBBCCCGEEEIIIYQQQhiUJB+EEEIIIYQQQgghhBBCCGFQknwQQgghhBBCCCGEEEIIIYRBSfJBCCGEEEIIIYQQQgghhBAGJckHIYQQQgghhBBCCCGEEEIYlCQfhBBCCCGEEEIIIYQQQghhUJJ8EEIIIYQQQgghhBBCCCGEQUnyQQghhBBCCCGEEEIIIYQQBvV/sh3aDT4gxVYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 584,
       "width": 783
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "axs = fig.add_subplot(1,1,1)\n",
    "#fig, axs = plt.subplots(1,1,1)\n",
    "#ax1 = fig.add_subplot(1, 2, 1)\n",
    "#ax2 = fig.add_subplot(1, 2, 2)\n",
    "\n",
    "sns.countplot(x='sugg_idx', data=data_error_token, palette='Reds', ax=axs)\n",
    "#sns.countplot(x='sugg_idx', data=data_error_types,  palette='Reds', ax=axs[1])\n",
    "\n",
    "axs.set_title('Token base')\n",
    "#axs[1].set_title('Type base')\n",
    "\n",
    "# Labels are wrong this way; Gives back labels in the wrong order\n",
    "#axs[0].set_xticklabels(labels=list(data_error_token.sugg_idx.unique()), rotation=50)\n",
    "#axs[1].set_xticklabels(labels=list(data_error_types.sugg_idx.unique()), rotation=50)\n",
    "\n",
    "axs.set_xticklabels(axs.get_xticklabels(), rotation=50)\n",
    "#axs[1].set_xticklabels(axs[1].get_xticklabels(), rotation=50)\n",
    "\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "hawaiian-fitting",
   "metadata": {},
   "source": [
    "#### 2) Per testpoint"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "stable-portrait",
   "metadata": {},
   "outputs": [],
   "source": [
    "# test time point (01-10); It is firt number in filename\n",
    "data_error_token['testpoint'] = data_error_token.filename.apply(lambda x: x.split('-')[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "brown-geography",
   "metadata": {},
   "outputs": [],
   "source": [
    "#sns.countplot(x='testpoint', data=data_error_token, palette=\"Blues\")\n",
    "#plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "spatial-incidence",
   "metadata": {},
   "source": [
    "<a id='4'></a><br>\n",
    "## 4 - Relationships"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "center-wealth",
   "metadata": {},
   "source": [
    "### Relationship: Suggestions index on testpoint\n",
    "- Percent stacked bar plot\n",
    "- Percent stacked bar plot, 3 categories\n",
    "\n",
    "\n",
    "*Beforehand: <br>\n",
    "Because there are so many indices of suggestions (0-14 and -1), values equal or above 5.0 are mapped to 5.0, so that there is a category \">= 5\".*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "ambient-coverage",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "IOStream.flush timed out\n",
      "IOStream.flush timed out\n"
     ]
    }
   ],
   "source": [
    "# MAPPING\n",
    "# Summarize values; 0, 1, 2, 3, 4, 5+\n",
    "# Has to be mapped to one value, i. e. 5\n",
    "        \n",
    "def map_idx_5(x):\n",
    "    sugg_idx = x['sugg_idx']\n",
    "    #if sugg_idx in [5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0]:\n",
    "    if sugg_idx in np.arange(5.0, max(data_error_token.sugg_idx)+1):\n",
    "        return 5.0\n",
    "    else:\n",
    "        return sugg_idx\n",
    "    \n",
    "# Map categories and create new column for result\n",
    "data_error_token['sugg_idx_5'] = data_error_token.apply(map_idx_5, axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "suffering-exemption",
   "metadata": {},
   "source": [
    "#### 1) Percent stacked bar plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "technological-bolivia",
   "metadata": {},
   "outputs": [],
   "source": [
    "# TODO: Modularize\n",
    "\n",
    "# Get values: PERCENT STACKED BAR PLOT\n",
    "\n",
    "# 1) Get counts for hue variable sugg_idx_5\n",
    "def get_count_5(x, gb_var='testpoint'):\n",
    "    return data_error_token[data_error_token.sugg_idx_5==x].groupby(gb_var).count().reset_index()\n",
    "\n",
    "# 6\n",
    "ct_non = get_count_5(-1)\n",
    "ct_0 = get_count_5(0.0)\n",
    "ct_1 = get_count_5(1.0)\n",
    "ct_2 = get_count_5(2.0)\n",
    "ct_3 = get_count_5(3.0)\n",
    "ct_4 = get_count_5(4.0)\n",
    "ct_5 = get_count_5(5.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "governmental-mount",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1716, 2154, 2028, 2520, 2527, 2924, 2900, 3046, 2549, 2237]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 2) Get totals, i. e. count for 100%\n",
    "idx_5_total = [i+j+k+l+m+n+o for i,j,k,l,m,n,o in zip(ct_non['freq_ori'], ct_0['freq_ori'], ct_1['freq_ori'],\n",
    "                                     ct_2['freq_ori'], ct_3['freq_ori'], ct_4['freq_ori'], ct_5['freq_ori'])] # list comprehension\n",
    "display(idx_5_total)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "former-somewhere",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 3) Get ratio of respective bars in percent, i. e. bar \"length\"\n",
    "bars_ct_non = [i / j * 100 for i, j in zip(ct_non['freq_ori'], idx_5_total)]\n",
    "bars_ct_0 = [i / j * 100 for i, j in zip(ct_0['freq_ori'], idx_5_total)]\n",
    "bars_ct_1 = [i / j * 100 for i, j in zip(ct_1['freq_ori'], idx_5_total)]\n",
    "bars_ct_2 = [i / j * 100 for i, j in zip(ct_2['freq_ori'], idx_5_total)]\n",
    "bars_ct_3 = [i / j * 100 for i, j in zip(ct_3['freq_ori'], idx_5_total)]\n",
    "bars_ct_4 = [i / j * 100 for i, j in zip(ct_4['freq_ori'], idx_5_total)]\n",
    "bars_ct_5 = [i / j * 100 for i, j in zip(ct_5['freq_ori'], idx_5_total)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "cleared-spotlight",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 541,
       "width": 812
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# TODO: Code schöner machen?!\n",
    "# TODO: Percentages plotten...?\n",
    "# PERCENT STACKED BAR PLOT\n",
    "\n",
    "x_pos = np.arange(0,10) # position of x-ticks\n",
    "x_lab = ct_non['testpoint']\n",
    "\n",
    "fig = plt.figure()\n",
    "axs = fig.add_subplot(1,1,1)\n",
    "# Create bars\n",
    "axs.bar(x_pos, bars_ct_0, bottom = 0, label='0') # index 0\n",
    "axs.bar(x_pos, bars_ct_1, bottom=bars_ct_0, label='1') # index 1\n",
    "axs.bar(x_pos, bars_ct_2, bottom=[i+j for i, j in zip(bars_ct_0,bars_ct_1)], label='2') \n",
    "axs.bar(x_pos, bars_ct_3, bottom=[i+j+k for i, j, k in zip(bars_ct_0,bars_ct_1, bars_ct_2)], label='3') \n",
    "axs.bar(x_pos, bars_ct_4, bottom=[i+j+k+l for i, j, k, l in zip(bars_ct_0,bars_ct_1, bars_ct_2, bars_ct_3)], label='4')\n",
    "axs.bar(x_pos, bars_ct_5, bottom=[i+j+k+l+m for i, j, k, l, m in zip(bars_ct_0,bars_ct_1, bars_ct_2, bars_ct_3, bars_ct_4)], label='>= 5')\n",
    "axs.bar(x_pos, bars_ct_non, bottom=[i+j+k+l+m+n for i, j, k, l, m, n in zip(bars_ct_0,bars_ct_1, bars_ct_2, bars_ct_3, bars_ct_4, bars_ct_5)], label='not any')\n",
    "\n",
    "# Costum x-axis\n",
    "axs.set_xticks(x_pos)\n",
    "axs.set_xticklabels(x_lab)\n",
    "axs.set_xlabel('testpoint')\n",
    "\n",
    "axs.set_ylabel('percentage')\n",
    "\n",
    "# Plot percentages\n",
    "for idx, (ct_ttl, pct_non, pct_0, pct_1, pct_2, pct_3, pct_4, pct_5) in enumerate(zip(idx_5_total, bars_ct_non, bars_ct_0, bars_ct_1, bars_ct_2, bars_ct_3, bars_ct_4, bars_ct_5)):\n",
    "    axs.text(idx, bars_ct_0[idx]/2, str(round(pct_0,1))+'%', va='center', ha='center', rotation=20, fontsize=10)\n",
    "    axs.text(idx, bars_ct_0[idx]+(bars_ct_1[idx]/2), str(round(pct_1,1))+'%', va='center', ha='center', rotation=20, fontsize=10)\n",
    "    axs.text(idx, bars_ct_0[idx]+bars_ct_1[idx]+(bars_ct_2[idx]/2), str(round(pct_2,1))+'%', va='center', ha='center', rotation=20, fontsize=10)\n",
    "    axs.text(idx, bars_ct_0[idx]+bars_ct_1[idx]+bars_ct_2[idx]+(bars_ct_3[idx]/2), str(round(pct_3,1))+'%', va='center', ha='center', rotation=20, fontsize=10)\n",
    "    axs.text(idx, bars_ct_0[idx]+bars_ct_1[idx]+bars_ct_2[idx]+bars_ct_3[idx]+(bars_ct_4[idx]/2), str(round(pct_4,1))+'%', va='center', ha='center', rotation=20, fontsize=10)\n",
    "    axs.text(idx, bars_ct_0[idx]+bars_ct_1[idx]+bars_ct_2[idx]+bars_ct_3[idx]+bars_ct_4[idx]+(bars_ct_5[idx]/2), str(round(pct_5,1))+'%', va='center', ha='center', rotation=20, fontsize=10)\n",
    "    axs.text(idx, bars_ct_0[idx]+bars_ct_1[idx]+bars_ct_2[idx]+bars_ct_3[idx]+bars_ct_4[idx]+bars_ct_5[idx]+(bars_ct_non[idx]/2), str(round(pct_non,1))+'%', va='center', ha='center', rotation=20, fontsize=10)\n",
    "\n",
    "# Add a legend\n",
    "axs.legend(loc='upper left', bbox_to_anchor=(1,1), ncol=1)\n",
    "\n",
    "# Plot title\n",
    "axs.set_title('Index of suggestion by DKPro (childlex) on testpoint')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "improved-olympus",
   "metadata": {},
   "source": [
    "<a id='6'></a><br>\n",
    "#### 2) Percent stacked bar plot, 3 categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "hourly-thousand",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Per testpoint, count of error at index 0 in contrast to all other errors\n",
    "# alle anderen\n",
    "# sugg_idx nicht gefunden?! -1\n",
    "def map_idx_bin(x):\n",
    "    sugg_idx = x['sugg_idx']\n",
    "    if sugg_idx == 0.0:\n",
    "        return 0.0\n",
    "    #elif sugg_idx in np.arange(1.0,15.0):\n",
    "    elif sugg_idx in np.arange(1.0,max(data_error_token.sugg_idx)+1):\n",
    "        return 1.0\n",
    "    else:\n",
    "        return sugg_idx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "employed-austin",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Map categories\n",
    "data_error_token['sugg_idx_three'] = data_error_token.apply(map_idx_bin, axis=1)\n",
    "#data_error_types['sugg_idx_three'] = data_error_types.apply(map_idx_bin, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "intended-baking",
   "metadata": {},
   "outputs": [],
   "source": [
    "# TODO: Modularize\n",
    "# Count of error tokens, i. e. freq_ori, for each category (-1; 0; 1)\n",
    "suggs_non = data_error_token[data_error_token.sugg_idx_three==-1].groupby('testpoint').count().reset_index() # returns index, not testpoint as index\n",
    "#display(suggs_non)\n",
    "suggs_0 = data_error_token[data_error_token.sugg_idx_three==0].groupby('testpoint').count().reset_index()\n",
    "#display(suggs_0)\n",
    "suggs_1 = data_error_token[data_error_token.sugg_idx_three==1].groupby('testpoint').count().reset_index()\n",
    "#display(suggs_1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "lesser-dubai",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get total, i. e. count for 100%\n",
    "suggs_total = [i+j+k for i,j,k in zip(suggs_non['freq_ori'], suggs_0['freq_ori'], suggs_1['freq_ori'])] # list comprehension\n",
    "#display(suggs_total)\n",
    "\n",
    "# Get ratio of respective bars in percent, i. e. bar \"length\"\n",
    "bars_sugg_non = [i / j * 100 for i, j in zip(suggs_non['freq_ori'], suggs_total)]\n",
    "bars_sugg_0 = [i / j * 100 for i, j in zip(suggs_0['freq_ori'], suggs_total)]\n",
    "bars_sugg_1 = [i / j * 100 for i, j in zip(suggs_1['freq_ori'], suggs_total)]\n",
    "#display(bars_sugg_non, bars_sugg_0, bars_sugg_1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "b11af7f1-ee68-4b9e-8322-b32377a7dffd",
   "metadata": {},
   "outputs": [],
   "source": [
    "ylabels = [str(0.00).lstrip('0')+'0', str(0.20).lstrip('0')+'0', str(0.40).lstrip('0')+'0', str(0.60).lstrip('0')+'0', str(0.80).lstrip('0')+'0', 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "focused-austin",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/fm/3v9lhcw93xj0g_xd62n6f9wc0000gn/T/ipykernel_27978/4158408172.py:19: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  axs.set_yticklabels(ylabels)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 562,
       "width": 854
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# PERCENT STACKED BAR PLOT\n",
    "\n",
    "x_pos = np.arange(0,10) # position of x-ticks\n",
    "x_lab = suggs_non['testpoint']\n",
    "\n",
    "fig = plt.figure()\n",
    "axs = fig.add_subplot(1,1,1)\n",
    "# Create bars\n",
    "axs.bar(x_pos, bars_sugg_0, bottom = 0, label='first', color='#ccebc5') # index 0\n",
    "axs.bar(x_pos, bars_sugg_1, bottom=bars_sugg_0, label='other', color='#b3cde3') # index 1\n",
    "axs.bar(x_pos, bars_sugg_non, bottom=[i+j for i, j in zip(bars_sugg_0,bars_sugg_1)], label='none', color='#fbb4ae') # noty any\n",
    "\n",
    "# Costum x-axis\n",
    "axs.set_xticks(x_pos)\n",
    "axs.set_xticklabels(x_lab)\n",
    "axs.set_xlabel('testpoint')\n",
    "\n",
    "axs.set_ylabel('proportion')\n",
    "axs.set_yticklabels(ylabels)\n",
    "\n",
    "# Plot percentages\n",
    "for idx, (ct_ttl, pct_non, pct_0, pct_1) in enumerate(zip(suggs_total, bars_sugg_non, bars_sugg_0, bars_sugg_1)):\n",
    "    axs.text(idx, bars_sugg_0[idx]/2, '{:.2f}'.format(round(pct_0/100,2)).lstrip('0'), va='center', ha='center', rotation=20, fontsize=16)\n",
    "    axs.text(idx, bars_sugg_0[idx]+(bars_sugg_1[idx]/2), '{:.2f}'.format(round(pct_1/100,2)).lstrip('0'), va='center', ha='center', rotation=20, fontsize=16)\n",
    "    axs.text(idx, bars_sugg_0[idx]+bars_sugg_1[idx]+(bars_sugg_non[idx]/2), '{:.2f}'.format(round(pct_non/100,2)).lstrip('0'), va='center', ha='center', rotation=20, fontsize=16)\n",
    "\n",
    "# Add a legend\n",
    "axs.legend(loc='upper left', bbox_to_anchor=(1,1), ncol=1, title='rank', fontsize=16)\n",
    "\n",
    "# Plot title\n",
    "axs.set_title('DKPro (childLex)')\n",
    "\n",
    "plt.rc('axes', titlesize=18) # fontsize of the axes title\n",
    "\n",
    "plt.rc('axes', labelsize=18)  # fontsize of the x and y labels # proportion testpoint\n",
    "plt.rc('xtick', labelsize=16) # fontsize of the tick labels\n",
    "plt.rc('ytick', labelsize=16) # fontsize of the tick labels\n",
    "\n",
    "plt.rc('legend', fontsize=16)    # legend fontsize\n",
    "\n",
    "plt.savefig('testpoint_dkpro.pdf', format='pdf', bbox_inches=\"tight\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "inner-brighton",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "41.59\n",
      "49.37\n",
      "********************\n",
      "36.19\n",
      "31.54\n",
      "********************\n",
      "22.22\n",
      "19.08\n",
      "********************\n"
     ]
    }
   ],
   "source": [
    "# Get averages for testpoints 1-5 and 6-10\n",
    "# Shares ordered by appereance in plot\n",
    "shares = [bars_sugg_0, bars_sugg_1, bars_sugg_non]\n",
    "helpers.print_AM_half_tp(shares)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "quantitative-infection",
   "metadata": {},
   "source": [
    "### Relationship: Levenshtein distance on testpoint\n",
    "- Percent stacked bar plot"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "hourly-miami",
   "metadata": {},
   "source": [
    "#### Get Levenshtein distance stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "engaging-avenue",
   "metadata": {},
   "outputs": [],
   "source": [
    "from nltk.metrics.distance import edit_distance\n",
    "\n",
    "#data_error_types['edit_dst'] = data_error_types.apply(lambda r: edit_distance(r.original, r.corrected), axis=1)\n",
    "data_error_token['edit_dst'] = data_error_token.apply(lambda r: edit_distance(r.original, r.corrected), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "severe-capitol",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Map them to edit distance 1 for plotting of Levenshtein distance stats\n",
    "data_error_token['edit_dst_0excl'] = data_error_token.edit_dst.apply(lambda x: 1 if x == 0 else x)\n",
    "#data_error_types['edit_dst_0excl'] = data_error_types.edit_dst.apply(lambda x: 1 if x == 0 else x)\n",
    "#display(data_error_token[data_error_token['edit_dst_0excl']==0])\n",
    "#display(data_error_types[data_error_types['edit_dst_0excl']==0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "searching-environment",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Map values above 4 to 4 to summarize categories with few counts\n",
    "data_error_token['edit_dst_4'] = data_error_token.edit_dst_0excl.apply(lambda x: 4 if x in [5,6,7,8,9] else x)\n",
    "#data_error_types['edit_dst_4'] = data_error_types.edit_dst_0excl.apply(lambda x: 4 if x in [5,6,7,8,9] else x)\n",
    "#data_error_token.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "ab4a0178-57e9-449d-b671-7810a6bfbb68",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max(data_error_token.edit_dst_4)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aggregate-breeding",
   "metadata": {},
   "source": [
    "#### - Percent stacked bar plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "finished-commissioner",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Count of tokens for each category (1; 2; 3; 4)\n",
    "ct_dst_1 = data_error_token[data_error_token.edit_dst_4==1].groupby('testpoint').count().reset_index() # returns index, not testpoint as index\n",
    "#display(ct_dst_1)\n",
    "ct_dst_2 = data_error_token[data_error_token.edit_dst_4==2].groupby('testpoint').count().reset_index()\n",
    "#display(ct_dst_2)\n",
    "ct_dst_3 = data_error_token[data_error_token.edit_dst_4==3].groupby('testpoint').count().reset_index()\n",
    "#display(ct_dst_3)\n",
    "ct_dst_4 = data_error_token[data_error_token.edit_dst_4==4].groupby('testpoint').count().reset_index()\n",
    "#display(ct_dst_4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "double-workstation",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get total, i. e. count for 100%\n",
    "ct_dst_total = [i+j+k+l for i,j,k,l in zip(ct_dst_1['edit_dst_4'], ct_dst_2['edit_dst_4'], ct_dst_3['edit_dst_4'], ct_dst_4['edit_dst_4'])] # list comprehension\n",
    "\n",
    "#display(ct_dst_total)\n",
    "\n",
    "# Get ratio of respective bars in percent, i. e. bar \"length\"\n",
    "ratio_dst_1 = [i / j * 100 for i, j in zip(ct_dst_1['edit_dst_4'], ct_dst_total)]\n",
    "ratio_dst_2 = [i / j * 100 for i, j in zip(ct_dst_2['edit_dst_4'], ct_dst_total)]\n",
    "ratio_dst_3 = [i / j * 100 for i, j in zip(ct_dst_3['edit_dst_4'], ct_dst_total)]\n",
    "ratio_dst_4 = [i / j * 100 for i, j in zip(ct_dst_4['edit_dst_4'], ct_dst_total)]\n",
    "\n",
    "#display(ratio_dst_1, ratio_dst_2, ratio_dst_3, ratio_dst_4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "a6b42f0f-5d66-4678-8dbf-33ffe3c903e1",
   "metadata": {},
   "outputs": [],
   "source": [
    "ylabels = [str(0.00).lstrip('0')+'0', str(0.20).lstrip('0')+'0', str(0.40).lstrip('0')+'0', str(0.60).lstrip('0')+'0', str(0.80).lstrip('0')+'0', 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "egyptian-eclipse",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/fm/3v9lhcw93xj0g_xd62n6f9wc0000gn/T/ipykernel_27978/174139406.py:22: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  axs.set_yticklabels(ylabels)\n"
     ]
    },
    {
     "data": {
      "image/png": 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xcc1q1K6QkFCl9husuTOny1laKmdpqXZt3ajM/Xv81lIEADQuliYLxcXFfuWWLVsGrO42bcrm/PX+YC0oKAhY3YG2e/duPfnkk77y+eefrwkTJmjv3r3VrmvVKv9FGvv371/lfcPCwpSamqrVq1dLknJzc7Vt2zZ179692u0AAAAINkz11bCtW7FE//t6plb+8tOv4cKxzjSp7Fx1Se2jPgOHqUvPvmqX0kWZ+3drz67tvkCheavWio6JK1e3x+2WzW5Xt14DtHXDWt/rP8yeIZvNprETr/CbusvldCpz/x59N/tjzZ8761hTbDr3oilq17HLsbLh6wxHxQgTmxbusU3TuhVL9OOcT7R62SK/YNjLERKqrql91Wvg6erWs59atG6r8PBIFRcXKmPvLkllwWLnbr2U3LaD3G4XUylWkWma6tC5q/7yj9f19afva/XSRcrO3K/I6GgV5B2VzWbzjS5zhISqz6BhSm6bouysDOUePqTN61bJNMum5HO7XVq5eL5CQkJ1weRr1a5jF9/Pzupo3S5FXXv2U9qqsus6M2Ovtm5YSwAFAI2YpT+V4+L8/7jLzc0NWN1Op9OvXJt1peqSy+XSvffeq8LCsj9kWrRooUcffbTG9Z24ZtRpp51Wrf07derkC6AkaePGjQRQAACgyWKqr4Zv49oVeuO5x3Q4O6v8J01T7Tt1Ve+Bp6tHn0Fq3b6jYmKblXU8S9q6Ya08bre8p234OeMlqXwwdGyD088aqxU/z1PG3nTJMJSdlaGP335Jm9et0qhxF8vjKft+yNy/R2uWLtKWDWt8HXjNW7VWUUGBZk5/Q9179Ve7Tl0qDLtAmNiUcI9t2g4e2K/X//GI8vPK9wV16NxNvQacrtS+g5TcLkUxcfF+s7NsW7VOWRl7Zbc75Ha71DalbPQT4VPVeafLS0hqqatvuVsTr7xRRUUF+uitF7Vy8Xx5PB4lt0vRmAsna+S5Fyo0NMwv4NuwZrn+9/VMLVv4gy+oWrF4vjymR7fd/4SMGtwTo2Ji1WfQ8LIAyjCUdyRHW9JWa/g553OPBYBGytKfzF26/PoLuyQtX748YNPkbdlSNpTe+4RUu3YN82mJV155xRf4GIahp556Ss2aNatxfenp6X7l6h5327b+c17XZBQWAABAY8ZUX42D92ths9kUE9vML4BKapGsngOGqmf/IerQqZuaJSQqNCy83L4b166QaXpk2OyKiWum2GPn5cROLm+5TftOOm/SVfr4Py+pMD9PNptNpkytXDJfK5fMV2hYuBwhISrMz9OJsjP3a8Y7L0uSvpCU0qWHxl92jfoMHKaw8AjOrQgTmwrusU1TRet5NW/VWr0Gnq4l//vmWLmNUvsNVu8Bp6tdxy7l7t3H8458M1V2/lP7Di4rcw6r5fivVXRsnObOnK4VP8+TJMUnNtfk625T/9PPlFR2/Rwf8KX2HaS2KZ0V2yxBP3w5o2wklMulZQt+0O7J16l9p67Vbo/d7lDXnv0UHdtM+UePyGOa2rNzq3bv2KKU03g4GgAaI0sDqP79+ys+Pl5HjhyRaZr65JNPNHXqVEUfmw6hNj7//HPfx/Hx8Ro8eHCt6wy01atX69///revfPXVV2vkyJG1qtO7rpZXVdd/8kpKSvIrHzx4sFbtAQAAaAyY6qvx8X7N2qacpvaduigrY6969h+q3gOHqXO3nkps0VLhEVEVdkQahqHDhw5qz86tMgybPG63wsIj1SW1T6Xv5+3UHHXeRDkcIZrzyTRl7Nl1fKVyu1wqLfGfZjwyOkaGYagg76jvNZvdrl1bN+qNZx/TiNHjdd3t9zfpDlPCxODHPbZpOtl6Xt6RNAOHnSW73a4uqf10WvdeSmjeUuERkZVeQ94Qce/OY7O/mKYSW7RSbLOya55rr+aW/O8bffv5h5JhKCIiSr/53T2+8Ekqfz81TVOxcfGafP1tSt++Sds2rpMjNFTO0hLN/+ZzXXPrvTUaHdq8VRul9h2kpQvK1kk/mLlfW9JWE0ABQCNlaQBlt9t1ww036LnnnpNhGDp48KAeffRR/eMf/6hVvTNnztTq1at9v3hMnjxZ9mrOO1vXCgoKdO+998p9bEqBjh076t577611vTk5OX7l2NjYau0fExPjVw7ktIgAAAANDVN9NX5R0TE67+KrNPqCy5TYIllR0TFVWnOipLhIWQf2+c51p66pcjmdvhE1Jzq+U3PE6PHq0Xeg1q/8Rds3rVfe0SNat2KJXM5SSWXThw0acbaGnXWeklokK/fwIZWWlmjl4vlaueQn5R89IpvNJpfTqf99PVPNW7bW6AsnKyy84if9gx1hYvDiHts0VWU9L0Nl18mA089Uar/BCg+PqNK922azKStjr/bt3uGr0zBsvnOImsk/mqtvP/9IztKyn2PtO3VRr4GnS6p8VJlhGMfuuRE67+KrtG3jA75pM1csnq9rbr23RtdSRGSU+gwerqULvpdh2FRUWKDtm9ar6NwCRURG1eIoAQBWsHxy3N/+9reaN2+eVq1aJUmaM2eOQkND9eijjyq0BouAzp8/Xw8//LBvLtuUlBTdfvvtgW52rT3xxBPavXu3JMnhcOiZZ55ReAD+4CwuPuGPpMjIau0fERHhV/auTWWF2Njg/APcZuMPUivYbIYSEgL7yyrn0hqcy+DBuQwejfFcMtVXxRrjuZTkW/ujOtYsLVvw3hESKpezVIktkuUICalS57N3zYwzx16kIWeM0Wv/eMQXPvUbeoYu+c3Nfp2hrdt3lCT1HTxCo86bqHdf/n/avWOL73tk/jez1CK5rQaNOLvax1GZxnguCRMr1hjPJffYijXGc1lV1V3Py3tt2+x2RUZVbxacwoJ8FeTn+ers1DVVJcXF9RriB9u53LNzq3Zu3SDDsMk0PRpyxhiFhoad8mei9zwOOP1MRcXEqiDvqOx2h3JzsrVr2yalnNa92qGuzWZT5269lNy2gzL2pst0SxtWL9OubZvUo8/AWh9r+fcL/LkEAPzK8gDKbrfr1Vdf1dSpU7VhwwaZpukbwXTvvfdq1KhRVfpBlZmZqddff13//e9/fYsfNm/eXC+//HKNgqy69P333+vTTz/1lW+99Vb17t07IHWXHntaxSukkj+6KnPiSDGXy7qFWO12njpD4BiGIbu9YfxxhtrhXAYPzmXwaEznkqm+Tq4xncua8naEeTtIPW6X7I4QtTkWElXlb4/jv+afTntVq39ZIElq17GLLrpiqtp17CLTNGWapq8+j9stGYY6deup3/zuHs364A1tWL3s2NP8+7Tg+y8DGkA11nNJmFheYzqX3GNPrjGdy6oI5Hpe1bFxzXJ53G7fNR+f2Fxh4eG+UXH1IVjOpfc8rF66UJLkCHHIWVqqkGP9aFU5R7+ORuyvlYvnS5LCwiO0b/cOpZzWvUbnOT6xuTp07q6Mvenq3nuAzh5/ibr16l/teqoiWM4lADRUlgdQK1eulCTddddd+n//7/9p69atMk1TO3bs0G233aakpCQNHz5cvXr1UnJysmJiYhQSEqKCggLl5uZq69atWrNmjZYtWyaPxyPz2FNvhmGoQ4cOevPNN6vcFsMw9OSTT9bJcXplZWXpoYce8pX79u2rW2+9NWD1e6f086rucOcTAyhvmGcFt9u6965LNpvBtBwWME1THo956g2rgXNpDc5l8OBcBo/GdC6Z6uvkGtO5rCnv78cb164oCw0MQ26XU8ltO0iqXqfoj3M+1fezZ/jKl1xzizp26SGp7Pvl+HqO7xTt1C1VYyZM0YbVZX/DGIZN2zet04F9u9WqTftaH6P3OIL9XDaVMLExnUvusSfXmM5lZepqPa+q8F7z3gdlPW6XbDab4pNaSFK9hU9ScJzL43nDYGdpqcLCIxQRWTYqrSrt8U6X2TK5nSSVrb1mtykyKqbKdZwoLDxCk35zk6648Q+Ki0+s9v7VURfnsiHgoW4ADYXlAdRVV11V7oeRd/o80zR18OBBffHFF/riiy9OWs/xwZO3vGLFCq1YsaJK7fD+4lqXAZRpmnrggQd0+PBhSWXT3T399NMBXZ/K4XDI6XT6ym63Ww5H1U/ziSOerBw9dvRosVwu96k3bGQSEqJ4usYCHo+pnJyCgNbJubQG5zJ4cC6DR2M8l0z1VbHGeC6ry+PxyOPxyOVySqYp01M2AsY4Fi5UpaPMNE2VlhRr+aJ5vte6pPZVn4HDqhRg2e0OpfYdrG69+mvz+lUyDKm0pEQb1iwPWADVFM5lUwkTG+O55B5bscZ4Lr3qcj2vqrLZyoLJrRvW+F7zeDy+UYr1uX5XYz6Xx/P2v5WWlpSNUvOYKikuUt7Rw9Wqx2a3a+fWDZLKvhecpaWKa5Ygqeaj3Vokt632PjVRF+fSag6HXfHx1VuSAwDqiuUBlNeJAdLxP5y8n6vMiX8QeF871X7Hb1sf3nvvPS1cuNBXvu+++5SSkhLQ9wgLC/MLoEpLSxUWFlbl/U+cwq+hTV8IAAAQKEz11TTZbDYd2Juu7Mz9stsdcrtdcjpLq7WAvWEY2rtruzauWyG7I0Rul1OJLVpV6+n7sPBw9RowVJvXr5JplnWcHj5UwXo5qFRTCRMbK+6xwaFe1vOqIo+nbCq/Eu+INsNQeESk3McepK2v8CmYeM9FbFy8dGykp9vt0ZqlP2v42ecrLDzi1HW43SrIz9PhQwclSW6XUy1bt1NSy+SAT2MJAGh8GtxPZ+/Ip+P/1WSfqoZP3v3r2rZt2/SPf/zDVz7zzDN11VVXBfx94uL8nyYqKKjeUxwnbh8bG1vrNgEAADR23mmJ62Oqr+OnQPa43fJ4PL6pvlL7DfZ1EHmn+kL1hYVHqLCgQG63S4ZhU2LzlirIy61WHcVFhZJpyu0qe/jL+71QVaZpKjq2mex2h0zTI7fLqfBwnlauDpvNpqz9e3xhoml6ah0mSvKFiVXtNPWGiZIIE2uIe2zD4+0n8a7ndbykFskaNe5i3fbAk7r9gad00RVT1bP/EMUnNpcjJMS3r3c9LxnGSdfzqiqbzaZDWQdUXFjgm6bR4QhR+05Vv+ZRsdR+g+UICfVdH+tX/aK0VUvLphw9BZvdrhU/z1Pm/j2+BzG69uqv2GYJhE8AAOtHQA0ePNjqJtSLe+65RyUlJZLK1lm64IIL9PPPP590n+zsbL9ybm5uuX2GDx/uV05ISNC+fb8u/nn48GG1atWqyu3MycnxKycm1u1cuwAAAI1BU5nqq6nYvWOLQkPDVOIp63yOjU9UXHxitZ7Kz9iXLkdIqEyPR263S1kH9ksqW/vCbj/5n1nHr13kdrsUEhoqZ2mp8o4ekVTz6YqaosrCxOqsGRLIMNHtdsnt8hAmVhP32Ianvtfzqqro2Dhl7E2XaZaNhiotLVFJcVGt622qvNdexy491CW1j9JWL5Nh2OR2OTV35nTFNkvQaT16SyoLbG12uy+k8u67Yc1yzXjnFUmSYdhktxs6Y8wFFhwNAKAhsjyAeu+996xuQr3YuHGj72O3263777+/2nVs3rxZN9xwQ7nXjtemTRutW/frQqBZWVnq0aNHld8jK8v/Sb3qhFcAAADBiqm+gsPxAVNRYX7ZiBePR0UF+ZKq9lS+t47W7TrK5Sz1jZrZuGa5JJ0yfDqe69jU2S5n2WiPDp27Saq/KcKDAWFicOAe23DV13peVXXoYKYSklooc/8eedxute7UVSEhLB1QG95gadhZ47R/zy4dzs6SYdi0dcNaTX/tWV3+2z+oe+8BvvPuvbd6PB6t+HmeZn/0jm/0otvl1DkXXKYuqX0tOx4AQMNieQCFwOrY0f9pvV27dmnUqFFV3j89Pd2v3Llz9eftBgAACDasGxQcvJ1mZZ3RNt+Il1Zt2qu0pFihYeFVrqNLah+FhUeopLhIdrtD2Zn7tW7FEvUeePopO7ttNptKiou04Luy6b1sdrtM0+MLoHBqhInBhXtsw1bf63lVxHtfLS4qVHbWAd/3yeHsLMUntah2ffiVN+jtN/QMHczcr88/ePPYJwzt2rZJzz58p84cO0HJ7VLUoVM3uZyl2rBmuTavX6mtG9b6tpVp6oxzJ+iqm++05kAAAA0SAVSQ6dWrl1/5+JFXVbFhwwbfx4ZhqFs3/ggGAACQmOormBzYt1um6fF1jLrdLoWGhfueAj8V0zQVEhKqgcPP0s8/fi27o+x8zP1sujqc1k2xcfEVhlAet1syDHk8Hn33xcfKzsrwdZQPHH62WrdLYcRMFREmBh/uscHh+FGBUs3W86qI9zqMiW0mwzDkcjllGDZFxcQqOytDSS2SA3MATZD3axsVHaMLJ1+nPTu2at3KxXKWliokNEzO0hL9OOdTSVJoWLhKS4qP7XfcuTRNDTh9lM6bdOWxNfn4WQYAKEMAVU9OnCqvKvbu3avRo0f7ykOGDDnllIUDBw6UzWbzzcn7yy+/VPn9du7cqQMHDvjK3bp1U0JCQjVbDQAArFTVDnRUH1N9NX7er2HCsaflzWO/MxfklXWUVvXa8X6dzz7/Ev3849dl04ZJ2rBmmT5591VdPvUORUXH/Pq+x65Lb/1rl/+sH+d84usoj4yO0YTLb/CrG1VDmBg8uMcGh0Cu51WRnOxMxTZLUM7BAzJNj6KiYxQeQUhYVR6PR6bpqfB68Hg8coSE6Nrb79PC7+foiw/fVmlJcdm6T8fuqaWlJb7tTdOjqJhYde7WSyPPvVCDR5zj+xzXCgDAiwAqyMTHx6tfv35auXKlJGn//v1avny5Bg0adMp9Z8+e7Vc+++yz66SNAIIHHd2AdbZuWKsD+3YrJDRUYWHhioyOUeduvWq9tgLKY6qv4OE9V85j58A7SiKpZbJKS0sUGhpWrfpO69FbfQYN1/pVv/jqX/DtF8o7kqOzzp+kPoOGy1la4gtENq1fpQXfzdaS/30j6dhi7Q6Hzhp3sTp07koHdzUQJgYP7rHBJRDreVXEe38MCQ1TzsFfp+DL2Ltb0TFxgTyEoOS9Rsqup7JzUZCfp6joGN/X1nutxcUn6oLJ12rg8LP03Rcfa92Kxco9fEg2m03FRYUKC49Q+05d1Tals7qm9lVqv8GKiYu38OgAAA0ZAVQQuuSSS3wBlCS98MILmjZt2kl/cc/MzNS0adN8ZZvNpksvvbRO2wmg8aCjG2gY9uzcqv/NnaU1yxYp93COQsPCVFJUJLfbpcjoGMU1S9DIcy/UoOHnqEVyGzqzA4SpvoKH92tckJ8nt8vpGzVzNDdHoaFh1XqwwrvthVOul8fj0fqVS2R3OOQpLdXqpQu1Yc1yxcQ1U9ee/VRSXKT07ZtVXFSogvw831oZpunRWeMm6tJrfieJDu7qIEwMHtxjg0sg1vOqiPfcJbVo5TvHhmFTaFi4Mvam+0ZYoWLea8T7u+TKxfN11riLNfGqGyu9Llq1aa9rbr1HR3MPy1lSol3bNikyOkYtWrWR3eFQTFyzaoW7AICmiZ8UAXDiOkm///3vdccdd1jUGmnixIl66aWXfNPpLVu2TE888YQeeuihCn+xyM/P16233qq8Y08LStKECRPUrl27emszgIaHjm7Aet5pUrakrdH3sz/W6l8W+KbZlSSXs1QyDNntDhUW5KswP08z/vOylvzvW113+/3q3L3XSWpHdTHVV+Pn/Tq1bpdSVj52PWVnZkiq+qiZ47ftktpH1/3+fr30xJ+Vvv3YtNuGIbfbrUNZB7Q4a26F+7du31HnXXylRo65sMZrojRlhInBh3ts8AjEel6Vycs9ouatWmvvru0yTY8io6LKziFO6dE/XvfrzylJGXvTlZOdqYSklpV+j5umqdhjo5sSW7Sqt7YCAIIHf+kEodDQUD3wwAN+r73//vu69dZbtW3bNt9rpmlq4cKFuvTSS5WWluZ7PS4uTnfddVe9tRdAw+A5Nlf+xrUr9OIT9+vRP16nH+d8qkNZB+RylqowP09uj9vX0Z2xN10z/vOyXnryz9q+aT1/lAN1wGazadPalfrsvX9rzbKf/cKnyKgYJbVsLZmmbHabZJqSyqYZ2rNzq17++4Nav3KJVU0PKt6veyCn+pJUbqqvgvw8v3upt0PNZrfLZrNp/colTPVVS96gJzQsXGHhEXK7XZKkmLh4HT50sEZ1ejweJbVI1l3/94ImXnWjEpJa+s7RiaJj4tS1Zz9dfPVNuu3PT+jMsRcRPtWQeeyeVxdhYofO3eQsLS375PFh4ry5Wrl4vg5lHVBB3tGy+65pqnX7jrrhDw/qypv+xNTENcA9Nvh41/Oy2WwyTf/1vGrL7nCotKREhlF27zywb48io6JrXW9TMOzscZLkWzMrffsW7d21/aT78L0PAKgtRkAFqXHjxmnq1Kl6++23fa/NmzdP8+bNU5s2bdSsWTNlZGQoJyfHbz+Hw6FnnnlGrVrxZAvQ1NhsNqWtWq5ZH7yhnVs3levojoyOUXbmftnsNl+H3fEd3VP/8KB6DTjdquYDQWnRj1/precfl2mWXY82u10du6Sq/9Az1L5TV4WGhSk+sbl2bdukn3+cq03rVqikuEghoaE6nJ2lz//7lpLbdVRi85YWH0njxlRfwae4qFARkVEqKS6SJBUczVVISGiN6irrYC17Qvziq27UGWMu1NYNa5S2epmKiwp1YN9ute/URcltO6hNh85KOa274uITCZ5q6cQw0XsuvWFifGLzatd5fJj445xPteDb2crJzqw0TGzdvqNS+w3WoBFnq037TrU7oCaMe2zwCMR6XqfSqk17ud0uv9Fy+/bsVHxSC7/3R3kjRo/Xh2/+U263u2yqxH3p2rBmuXr2H8JUegCAOsNPmCB2//33KyQkRG+88YZfR/K+ffu0b9++cttHRUXpmWee0ahRo+qzmQAaCDq6gYYlY2+6vp31Ydk1eWyKp8EjR2vsxCvUNqWzX4dci+S2GjTiHC2Z/63eePZRuZxlIfG2jev0y/xvde7Ey2vcuQ6m+gom3nPZvFVrFRbky2a3y+N2a9f2zbUauXL8OUhs0UqJLVrp9LPOU1FhgSIio/zeG4FFmNj4cY8NHoFYz+tkvAFTxy6pOpR1QJ5jszPs2bFVvfoP5VydQnRMnNqmdPYb9RQVHSuX00UABQCoM/yECXJ33XWXxowZo2effVbLli2Tu4K5kUNDQzV+/Hj94Q9/UJs2bSxoJQCr0dEN1K9DBzO1fNGPGjnmQkVFx/h9ztt59uOcT7R7xxbZbDZ5TFNnnT9J191+f7m6fJ3apqnhZ4/T7h1bNP+bz1VcWCCpbOqhvkNG8HR+LbBuUPDwdk62ad9J4RGROnokxzfiYtfWjUrtNzhgT9CbpukLn45/bwQGYWLw4B4bfGq7nldlbDabSkuKfQ+8eTweGTJUWlrC6Kcquviqm/TptFd14ZTrNWjkOdUeYQgAQHURQAXA5s2bT71RDbRt2zYgdffp00fvvvuucnJytHz5cmVlZSkvL08xMTHq0KGD+vfvr+ho5kwGghUd3UDDUFJcrF9++lY/ffOFtm9eL0mKi0/U6aPG+m1ns9uVlbFPK5cskFTWuRKXkKQxEyZLKt/x6fv42P9DRo7Wtg1rfe+xN32HsjMzuC5rgam+gk9paYlO69FbKxfPl8ftVnhklDIz9ii13+CAdWASUNQtwsTgwT02eHivudqu53Uy3u8TR0ioXC6nTNOjwvw8AqgqGjBslAYOP8vqZgAAmhACqCYkISFBY8eOPfWGABo9OrqBhmPt8p/1v7mztGrJT77XvJ2kyxb8oNNHjS13rRXkH1XOwQO+EYl9Bw33XVeVdXx6O13adOikZolJOraxcnOyfZ15qB2m+goepsejxOZla56apkfFRYXKP3pUbjfTEDU2hInBg3ts4xfo9bxO5A2Zklomy+N2yW6zy+12aevGtbIZBqMTq4CvDwCgvvHXFQAEETq6gYYhfftmzf/mc/0y/zsVFuT5XneEhMrjcctzbErcuIRESeWvtS1pq8u2d4TI5SxVwrGpZk7VOW6apsLCI3xrLISEhMhZWqqMPbskiaeDa4ipvoJPWHiEIiKjFBIaKqfTKZmmMvfvVnFhoaJiYq1uHqqBMLHx4x4bPAK5nldFvOeqW68Bx36nKXt955YNOpp7WM0SkjinAAA0MPxGDgCNHB3dQMOQk52phd/P0aIf5igrY1+F27hdLpmmRza7XaZb6jfkDEm/dth4r5vomDjf63ZHiEzTlKRTdqaaHo8Mu11x8WXXu9vtlgxDJSUlksQ1WUNM9RVcvOeqdfuOMgybbIYhj2lq19ZNZWEUGhXCxMaPe2zwCOR6XhUxjo1yapHcRsntUpSxZ5dv2sY1y37WqPMu8v0uBAAAGgYCKABohOjoBhqG0pJi/fLTd5r/zRfavmldhdtExcSqW8/+6jtkhOZ99Zl2bdskj9utdh27qFO3VEm/doB5r5uIyCjZ7Q7f1DUuZ6lKiosVFh5+0vbY7HaZpqkdm9Mkw5DpMSXTVIfOXSXxpHdtMdVXw+XxeGSaniqNeDn+CXqHI0Rut1t2w6Z9u3fo8KEsNTv2wAYaPsLE4MI9tvGri/W8KtN/6BnK2LPL9x6rly7QqPMuCsg6UwAAIHAIoACgkaCjG2g41q1Yov99PVMrf/lJOhbaeqexlMqmvuyS2kd9Bg5Tl5591S6lizL379aeXdt9Uws1b9XaFwCfqLS0RJHR0SotKVFIaJiKi4rkcjkVppNfl5KUfzRXuYcPSaYpm8Mhmb8GzVyTtcNUXw2PN4Ao+5lW9nOtID9PUdExlf4c8j5B3ywhUW06dNTWDWt9nyvIy62vpqMShIlNF/fY4BHI9bxO5L3uO3XtKUmKjm2m4eecr3PGXxKQ+gEAQGDxWxwANHB0dAMNx8a1K/TGc4/pcHZW+U+aptp36qreA09Xjz6D1Lp9R8XENpMjJESStHXDWnncbnkvjeHnjJfkP12lt8O8S48+uuCy6xQSGqoWyW2UcloPRUXHnLRt3n03rVuhzP17yqajKi1VUotkdes9gFA4AJjqq+HxXjt7dm7V/+bO0srF83XWuIs18aobT/r97vG4Zbc7NHLMhQoJCdMFU65Tat9B9dVsVIAwEdxjG7+6Ws+rIl179tNfn31Lnbr1DGi9AAAgsAigAKCBoqMbaDi839M2m00xsc38rsukFsnqOWCoevYfog6duqlZQqJvbbTj9924doVM0yPDZldMXDPFxsVL8p+u0nvdJLZopbPHT/Kr51QMw5DH7dbyRfMkSS6nS5I0+IwxstvtXJO1xFRfDdejf7xO6ds3+8oZe9OVk52phKSWlf488o6mOHPsRTpz7EX11lZUjjCxaeMeGxzqcz2vmLhmiolrVut6AABA3SKAAlBvAvXHRrCjoxv1ieuyarzf021TTlP7Tl2UlbFXPfsPVe+Bw9S5W08ltmip8IioSp/QP3zooPbs3CrDsMnjdissPFJdUvuc9D2916R3XbaqXFeZGXu1dsXisv1kKjQsXL0Hnu4bJcC16Y+pvoLDsLPHKX37ZoVHRKq4qFDp27do767tSkhqaXXTUE2EicGFe2zTVR/reQEAgMaBAApAndm1daPy83KVkNRSTqfTtzYQTo6ObtQlrsvaiYqO0XkXX6XRF1ymxBbJioqOqdKUMiXFRco6sM83dWanrqlyOZ2+UYsnU51r6cc5n6i4sMD3tHGPPoPUrWc/rskTMNVXcBkxerw+fPOfcrvdstlsOrAvXRvWLFfP/kNYN6aRIUwMDtxjwXpeAADAi5/8AAJq944t+unb2Vq/cokK8vMUEhKiIzmHFBIaqrYpnTVo+Nkacua5Smxe+ZOsKENHNwKF6zKw2qZ0rvY+a5YukkxTjpBQuZylSmyRLEdISEBHoO3dtV0/zvlUNrtdpumRJI0cc0HA11wIBkz1FVyiY+LUNqWz9u7a7nstKjpWLicdnY0NYWJw4B4L1vMCAABe/BYPoFY8Ho9kmtq0fpW+nfWh1ixbWOF2brdbOzanacfmNP341We66uY/qf/QM+q5tY0PHd2oCa7LhsN73RUW5JWV3S7ZHSFq076jJAXsmnS7Xfpm1n/l8Xh8136vAaer98BhAak/GDHVV3C5+Kqb9Om0V3XhlOs1aOQ5Cg0Ns7pJqAHCxODBPbbpYj0vAABwPCbfBVArNptNm9ev0mfT/q31K5f4fS48IlLhEZGSJLfLWfYHiM2m7Mz9+vfTfy23PWrH4ykLguqzo9tms8vjdtPR3cBwXTYc3utu49oVkmFIhiG3y6nkth0k/TrtZU153G5J0raN67Ry8XxJkstZKpvNprETr1BYeHit3yNYDTt7nCT5rgfvVF9onAYMG6Un//2Rhp9zPuFTI3fxVTcpuW0H3XTXI3rts/macPn1Cguv+jqVaBi4xwYXj8cjt9tVpW1PXM/LsNlltzt863kBAICmhcfIANTK+lW/6IXH7pHbVfY0m81uV6euqeo7eKSS26XIPPYE3ILvZmvz+tUqKsxXSGiYSkuK9fl/31JMXLw6dO5m8VEEh6p0dNdmajWP2y2b3X7Kjm6mb7Me12XD4fF45PF45HKVTT9jekwlJLWUcex6re31YrPb5fF4NPez6SosyJPNZpPH49GAYWepW69+AXmPYMVUX8GF7/PgMWDYKA0cfpbVzUAtcY8NDqznBQAAaovf/ADUWF7uEc35+F25Xc6yTlC3W/2HnqELJ1+n1h06+T2B3GfQcK1aukBvPf83lRQXSZJ2bNmgdSsWq21KZ/4QDQA6uiFxXTY0NptNB/amKztzv+x2h9xul5zOUrXr2CVg7/G/ubO0eulCyTBkszskuXTO+EsUGsaIgZNhqi+gYeJ3ieDAPTY4sJ4XAACoLX7zA1Bjq5cu1KZ1K2UYNnncbvUZNFy33f+E3zpA3qmfHCEhGjziHKVv26TvZ89QSXGRPG63tm5YqyFnHFCL5LZWHUbQoKMbEtdlQxQWHqHCggK53S4Zhk2JzVuqIC9XcfGJtarXNE3l5R7W/LmzJJWtneFylmroqLHqQSdPlbBuEADUHe6xwYH1vAAAQG0QQAGokdLSEr+1YkJCwzT6wsmy2e1+f4h4//dO39B38EitW7FEu3dskSRlZuyVxJOugUJHd9PGddkw7d6xRaGhYSrxuOXxeBQbn6i4+ETf178mvFNiLp73Tdl5OzblZnhklC677tYAH0HwYqovAKg73GODw7Czxyl9+2aFR0SquKjQt55XQlJLq5sGAAAagcCsSA+gUTuwb7eO5GTL5XT6LS7r8Xgq3ccwDKWtXnrsYykqOkYpXbr7PncibydrcrsOcoSESIYhw7Apc99uhYSGBvJwmjRvR7fNZpNp+nd015TH7ZZhGHR01zOuy8bv+HNVVJgvw1Y2Cq2oIF+Sahw+SWVTYhYW5GvOJ9MkScaxwHD0BZcqqUWyPG73KetwOktVVFhQ4zYEA6b6AoC6wz02OIwYPV6Syq3nVfbAG+cYAACcHCOggCZq944tWvTDV9q8fpWczlLZ7Q7l5R5Wl5591bVnP51z/iV+U3ad6EhOtpolNFdB3lF5PB61atuhSu8bHROnkuLisjWKZKptSme/znXUzPEjKYoK82V3hEgeT511dJsy/Tq6T/a9IpV1dLucTkVERtW4HU0B12Vw8V53ZaPPbHK7nJKkVm3aq7SkuNZTV3792fvKyz0suyNEbpdTiS1a6YxzJ5S9dyXfJ263SwX5ecrct0cbVi9VcXGRRp03Ua3atK9VWwAAQHBiPS8AAFAb/LYANAHeqbeczlKtXfazfvzqU21YvazCbZct+EHLFvygeV99putuv1+n9ehzbDSN//zezpIS6dg6MlJZx3lJcZEUF19hvd6AZOuGNTqUlSGb3S6P262OXVKV1CK50vnDUTV0dDc+XJdNx4F9u2WaHjlCQuVylsrtdik0LLxK4W1lcg8f0tKfviu73o+FhUPOOFctW7crt63H41FxUaGyM/dr28Z1WrdisbakrVFhQZ6iY+KUclp3rksAAFAp1vMCAAA1RQAFNAHeDuTF8+bq60+nK3P/Hr/Pezudj20shyNE+3fv1H/+9ZTGXXKVRp03sVxHdOv2HRUZHe3bvzA/Tyt+/p/OGnexwiMi5Xa7ZLPZffvYbGWdpEvmf6viokJJUnK7FJ170ZS6PvwmhY7uxoPrMvh5A76EpBaSJPPYlHwFeXmSKg9vq2JL2mplZezzlePiE8udt5LiYh0+lKX07Zu1fuUSpa1epsPZWX7b5OflavO6Vep/+pl0JgEAgAqxnhcAAKgpAiigCfB4PJo5/XV9+dE7vtfsdoc6deupbr36y+12q7SkWPt279CmtSvkcpbKMMrm9/74Py+pR59BapHc5tf6joUZ3XoN0NYNa32v/zB7hmw2m8ZOvMJvOgaX06nM/Xv03eyPNX/uLEmSYdh07kVT1K5jl2Nlw28aOVQPHd2ND9dl8PN+3ZzOUt/oQUlKapms0tKSGl0H3vOxZP63Ze9xLKgccPooxSc2V1FhvooKC7R31w5tWL1U61ct1b707RXWFRefqEEjztF5k67kmgQAAJViRDwAAKgpAiggiHk7KjevW6n/fT1LNptNHo9HkVExuvDy69V38AglNm+lsPCy6dkKC/K19Kfv9Ol7ryn/6BHZbDYV5ufpf1/P1IQrrldEZNnICh37A+T0s8Zqxc/zlLE3XTIMZWdl6OO3X9Lmdas0atzF8njKRm9k7t+jNUsXacuGNb42NG/VWkUFBZo5/Q1179Vf7Tp1UXRMnCVfp2BAR3fjwXXZdHhHqBXk58ntcvpGJh7NzVFoaFiNRibabDYdzNyvA/t2SyoLHkNCQ9XhtO7atmmdNq5ZofUrl2jbpnV+I+i8UzPa7HYNHnGORp03UT36Dgro8QIAAAAAAByPAAoIYjabTSXFRfpyxrvKP3pEhmFTdEycLv/tHzT87HF+HZ8ul0uRUdE66/xJcjqd+uD152TY7Bo19iINO/u8Xzu59WvY0aZ9J5036Sp9/J+XVJifV7YmjUytXDJfK5fMV2hYuBw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      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 540,
       "width": 848
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# TODO: Rule of three: Percent stacked bar plot over testpoints as function\n",
    "# PERCENT STACKED BAR PLOT\n",
    "\n",
    "x_pos = np.arange(0,10) # position of x-ticks\n",
    "x_lab = suggs_non['testpoint']\n",
    "\n",
    "fig = plt.figure()\n",
    "axs = fig.add_subplot(1,1,1)\n",
    "\n",
    "# Create bars; Modify\n",
    "axs.bar(x_pos, ratio_dst_1, bottom = 0, color='#c6dbef', label='1') # index 0\n",
    "axs.bar(x_pos, ratio_dst_2, bottom = ratio_dst_1, color='#9ecae0', label='2') # index 1\n",
    "axs.bar(x_pos, ratio_dst_3, bottom=[i+j for i, j in zip(ratio_dst_1,ratio_dst_2)], color='#6baed6', label='3') # noty any\n",
    "axs.bar(x_pos, ratio_dst_4, bottom=[i+j+k for i, j, k in zip(ratio_dst_1,ratio_dst_2,ratio_dst_3)], color='#3182bd', label='>= 4') # noty any\n",
    "\n",
    "# Costum x-axis\n",
    "axs.set_xticks(x_pos)\n",
    "axs.set_xticklabels(x_lab)\n",
    "axs.set_xlabel('testpoint')\n",
    "\n",
    "axs.set_ylabel('proportion')\n",
    "axs.set_yticklabels(ylabels)\n",
    "\n",
    "# Plot percentages; Modify\n",
    "for idx, (ct_ttl, rt_1, rt_2, rt_3, rt_4) in enumerate(zip(ct_dst_total, ratio_dst_1, ratio_dst_2, ratio_dst_3, ratio_dst_4)):\n",
    "    axs.text(idx, ratio_dst_1[idx]/2, '{:.2f}'.format(round(rt_1/100,2)).lstrip('0'), va='center', ha='center', rotation=20, fontsize=16)\n",
    "    axs.text(idx, ratio_dst_1[idx]+(ratio_dst_2[idx]/2), '{:.2f}'.format(round(rt_2/100,2)).lstrip('0'), va='center', ha='center', rotation=20, fontsize=16)\n",
    "    axs.text(idx, ratio_dst_1[idx]+ratio_dst_2[idx]+(ratio_dst_3[idx]/2), '{:.2f}'.format(round(rt_3/100,2)).lstrip('0'), va='center', ha='center', rotation=20, fontsize=16)\n",
    "    axs.text(idx, ratio_dst_1[idx]+ratio_dst_2[idx]+ratio_dst_3[idx]+(ratio_dst_4[idx]/2)+3, '{:.2f}'.format(round(rt_4/100,2)).lstrip('0'), va='center', ha='center', rotation=20, fontsize=16)\n",
    "                                                       \n",
    "# Add a legend\n",
    "axs.legend(loc='upper left', bbox_to_anchor=(1,1), ncol=1, title='edit distance', fontsize=16)\n",
    "\n",
    "# Plot title\n",
    "#axs.set_title('Levenshtein distances on testpoint')\n",
    "\n",
    "plt.rc('axes', titlesize=18) # fontsize of the axes title\n",
    "\n",
    "plt.rc('axes', labelsize=18)  # fontsize of the x and y labels # proportion testpoint\n",
    "plt.rc('xtick', labelsize=16) # fontsize of the tick labels\n",
    "plt.rc('ytick', labelsize=16) # fontsize of the tick labels\n",
    "\n",
    "plt.rc('legend', fontsize=16)    # legend fontsize\n",
    "\n",
    "plt.savefig('edit_dist_testpoint.pdf', format='pdf', bbox_inches=\"tight\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "efeec1d8-96b7-45fe-be2e-7ef588fd758d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/html": [
       "<div style=\"vertical-align: middle;\"><strong>tab20c</strong> </div><div class=\"cmap\"><img alt=\"tab20c colormap\" title=\"tab20c\" style=\"border: 1px solid #555;\" src=\"data:image/png;base64,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\"></div><div style=\"vertical-align: middle; max-width: 514px; display: flex; justify-content: space-between;\"><div style=\"float: left;\"><div title=\"#3182bdff\" style=\"display: inline-block; width: 1em; height: 1em; margin: 0; vertical-align: middle; border: 1px solid #555; background-color: #3182bdff;\"></div> under</div><div style=\"margin: 0 auto; display: inline-block;\">bad <div title=\"#00000000\" style=\"display: inline-block; width: 1em; height: 1em; margin: 0; vertical-align: middle; border: 1px solid #555; background-color: #00000000;\"></div></div><div style=\"float: right;\">over <div title=\"#d9d9d9ff\" style=\"display: inline-block; width: 1em; height: 1em; margin: 0; vertical-align: middle; border: 1px solid #555; background-color: #d9d9d9ff;\"></div></div>"
      ],
      "text/plain": [
       "<matplotlib.colors.ListedColormap at 0x7face9824ee0>"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 800x600 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.set_cmap('tab20c')\n",
    "plt.get_cmap()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "intimate-chinese",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "71.52\n",
      "78.4\n",
      "********************\n",
      "21.22\n",
      "16.81\n",
      "********************\n",
      "5.17\n",
      "3.43\n",
      "********************\n",
      "2.08\n",
      "1.37\n",
      "********************\n"
     ]
    }
   ],
   "source": [
    "ratios_dst = [ratio_dst_1, ratio_dst_2, ratio_dst_3, ratio_dst_4]\n",
    "helpers.print_AM_half_tp(ratios_dst)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "welsh-force",
   "metadata": {},
   "source": [
    "<a id='7'></a><br>\n",
    "### Relationship: Suggestions index on Levenshtein distance\n",
    "- Percent stacked bar plot"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "vital-algeria",
   "metadata": {},
   "source": [
    "#### - Percent stacked bar plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "33d4f5c5-4362-4612-9c85-36ea84f4b54c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-1.,  0.,  1.])"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.unique(data_error_token.sugg_idx_three.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "employed-liberia",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_count_zero(x, gb_var='edit_dst_4'):\n",
    "    grouped = data_error_token[data_error_token.sugg_idx_three==x].groupby(gb_var).count()\n",
    "    # From edit-distance 2 on, there are zero values for the categories (index of suggestions) that are not counted by count\n",
    "    # Therefore zero counts have to be added manually\n",
    "    added_zero_values = grouped.reindex(data_error_token.edit_dst_4.unique()).fillna(0).astype(int)\n",
    "    return added_zero_values.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "million-gilbert",
   "metadata": {},
   "outputs": [],
   "source": [
    "# TODO: Modularize\n",
    "# 1) Get counts for each category (-1; 0; 1; 2; 3; 4; 5)\n",
    "# Function see above\n",
    "ct_non = get_count_zero(-1, gb_var='edit_dst_4')\n",
    "ct_0 = get_count_zero(0.0, gb_var='edit_dst_4')\n",
    "ct_1 = get_count_zero(1.0, gb_var='edit_dst_4')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "special-champagne",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 2) Get total, i. e. count for 100%\n",
    "ct_total_2 = [i+j+k for i,j,k in zip(ct_non['sugg_idx_three'], ct_0['sugg_idx_three'], ct_1['sugg_idx_three'])]\n",
    "#display(ct_total_2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "military-payment",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 3) Get ratio of respective bars in percent, i. e. bar \"length\"\n",
    "bars_ct_non = [i / j * 100 for i, j in zip(ct_non['sugg_idx_three'], ct_total_2)]\n",
    "bars_ct_0 = [i / j * 100 for i, j in zip(ct_0['sugg_idx_three'], ct_total_2)]\n",
    "bars_ct_1 = [i / j * 100 for i, j in zip(ct_1['sugg_idx_three'], ct_total_2)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "a68e3faa-73f9-4955-8225-9d16114128ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "ylabels = [str(0.00).lstrip('0')+'0', str(0.20).lstrip('0')+'0', str(0.40).lstrip('0')+'0', str(0.60).lstrip('0')+'0', str(0.80).lstrip('0')+'0', 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e0efa172-b3b8-49be-98bd-0d9f3a9f69d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# PERCENT STACKED BAR PLOT\n",
    "\n",
    "x_pos = np.arange(0,4) # position of x-ticks\n",
    "#x_lab = ct_non['edit_dst_4']\n",
    "\n",
    "fig = plt.figure()\n",
    "axs = fig.add_subplot(1,1,1)\n",
    "\n",
    "# Create bars\n",
    "axs.bar(x_pos, bars_ct_0, bottom = 0, label='first', color='#ccebc5') # index 0\n",
    "axs.bar(x_pos, bars_ct_1, bottom=bars_ct_0, label='other', color='#b3cde3') # index 1\n",
    "\n",
    "axs.bar(x_pos, bars_ct_non, bottom=[i+j for i, j in zip(bars_ct_0,bars_ct_1)], label='none', color='#fbb4ae')\n",
    "\n",
    "# Costum x-axis\n",
    "axs.set_xticks(x_pos)\n",
    "axs.set_xticklabels(['1','2','3','>= 4'])\n",
    "axs.set_xlabel('edit distance')\n",
    "\n",
    "axs.set_ylabel('proportion')\n",
    "axs.set_yticklabels(ylabels)\n",
    "\n",
    "# Plot percentages\n",
    "for idx, (ct_ttl, pct_non, pct_0, pct_1) in enumerate(zip(ct_total_2, bars_ct_non, bars_ct_0, bars_ct_1)):\n",
    "    axs.text(idx, bars_ct_0[idx]/2, '{:.2f}'.format(round(pct_0/100,2)).lstrip('0'), va='center', ha='center', rotation=20, fontsize=16)\n",
    "    axs.text(idx, bars_ct_0[idx]+(bars_ct_1[idx]/2), '{:.2f}'.format(round(pct_1/100,2)).lstrip('0'), va='center', ha='center', rotation=20, fontsize=16)\n",
    "    \n",
    "    axs.text(idx, bars_ct_0[idx]+bars_ct_1[idx]+(bars_ct_non[idx]/2), '{:.2f}'.format(round(pct_non/100,2)).lstrip('0'), va='center', ha='center', rotation=20, fontsize=16)\n",
    "    \n",
    "# Add a legend\n",
    "axs.legend(loc='upper left', bbox_to_anchor=(1,1), ncol=1, title='rank', fontsize=16)\n",
    "\n",
    "# Plot title\n",
    "axs.set_title('DKPro (childlex)')\n",
    "\n",
    "plt.rc('axes', titlesize=18) # fontsize of the axes title\n",
    "\n",
    "plt.rc('axes', labelsize=18)  # fontsize of the x and y labels # proportion testpoint\n",
    "plt.rc('xtick', labelsize=16) # fontsize of the tick labels\n",
    "plt.rc('ytick', labelsize=16) # fontsize of the tick labels\n",
    "\n",
    "plt.rc('legend', fontsize=16)    # legend fontsize\n",
    "plt.savefig('edit_dist_dkpro.pdf', format='pdf', bbox_inches=\"tight\")\n",
    "\n",
    "plt.show()"
   ]
  }
 ],
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