02_basic-EDA.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "1579892b-cf74-41af-94c3-6344cec1f628",
   "metadata": {},
   "source": [
    "## Some Basic EDA on Extracted Data from Resumes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "31613917-f873-47dd-9dc8-4174125ddfaf",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "import re\n",
    "import string # for text cleaning\n",
    "import contractions # for expanding short form words\n",
    "from tqdm import tqdm\n",
    "tqdm.pandas(desc=\"Progress Bar\")\n",
    "\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "35e9d603-f529-40e9-8bfe-787a739ce3da",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Skills</th>\n",
       "      <th>Education</th>\n",
       "      <th>ID</th>\n",
       "      <th>Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Accounting; General Accounting; Accounts Payab...</td>\n",
       "      <td>Northern Maine Community College 1994 Associat...</td>\n",
       "      <td>10554236</td>\n",
       "      <td>ACCOUNTANT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>accounting, accounts payable, Accounts Receiva...</td>\n",
       "      <td>Bachelor of Science : Accounting , May 2010 Un...</td>\n",
       "      <td>10674770</td>\n",
       "      <td>ACCOUNTANT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>accounts payables, accounts receivables, Accou...</td>\n",
       "      <td>Computer Applications Specialist Certificate P...</td>\n",
       "      <td>11163645</td>\n",
       "      <td>ACCOUNTANT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>accounting, balance sheet, budgets, client, cl...</td>\n",
       "      <td>EMORY UNIVERSITY, Goizueta Business School 5 2...</td>\n",
       "      <td>11759079</td>\n",
       "      <td>ACCOUNTANT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Aderant/CMS Financial reporting</td>\n",
       "      <td>Bachelor of Business Administration : Accounti...</td>\n",
       "      <td>12065211</td>\n",
       "      <td>ACCOUNTANT</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              Skills  \\\n",
       "0  Accounting; General Accounting; Accounts Payab...   \n",
       "1  accounting, accounts payable, Accounts Receiva...   \n",
       "2  accounts payables, accounts receivables, Accou...   \n",
       "3  accounting, balance sheet, budgets, client, cl...   \n",
       "4                    Aderant/CMS Financial reporting   \n",
       "\n",
       "                                           Education        ID    Category  \n",
       "0  Northern Maine Community College 1994 Associat...  10554236  ACCOUNTANT  \n",
       "1  Bachelor of Science : Accounting , May 2010 Un...  10674770  ACCOUNTANT  \n",
       "2  Computer Applications Specialist Certificate P...  11163645  ACCOUNTANT  \n",
       "3  EMORY UNIVERSITY, Goizueta Business School 5 2...  11759079  ACCOUNTANT  \n",
       "4  Bachelor of Business Administration : Accounti...  12065211  ACCOUNTANT  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('./pdf_extracted_skills_education.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e7d2b51d-eea7-45a5-8435-a738f142f653",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2484, 4)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We have 2484 resumes with us\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c3348774-c0f9-431d-901b-4a131016c0c0",
   "metadata": {
    "tags": []
   },
   "source": [
    "### Analyzing Null Values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7d30658a-fdfb-43cf-8f27-9604b76430c0",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Skills        91\n",
       "Education    590\n",
       "ID             0\n",
       "Category       0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Null values\n",
    "df.isna().sum()\n",
    "\n",
    "# It seems that Education was not extracted properly"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2ebd1e3a-ded6-4f84-a3c6-5263d4fbf9d2",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     Skills Education        ID                Category\n",
      "145     NaN       NaN  17021141                ADVOCATE\n",
      "367     NaN       NaN  31225895                 APPAREL\n",
      "407     NaN       NaN  14248724                    ARTS\n",
      "802     NaN       NaN  12632728    BUSINESS-DEVELOPMENT\n",
      "1047    NaN       NaN  14849103            CONSTRUCTION\n",
      "1270    NaN       NaN  14014749                DESIGNER\n",
      "1357    NaN       NaN  90066849                DESIGNER\n",
      "1492    NaN       NaN  20566550             ENGINEERING\n",
      "1723    NaN       NaN  17576030                 FITNESS\n",
      "1738    NaN       NaN  21178545                 FITNESS\n",
      "1802    NaN       NaN  77266989                 FITNESS\n",
      "1829    NaN       NaN  15499825              HEALTHCARE\n",
      "2078    NaN       NaN  20237244  INFORMATION-TECHNOLOGY\n",
      "2116    NaN       NaN  29051656  INFORMATION-TECHNOLOGY\n",
      "2290    NaN       NaN  16280971                   SALES\n"
     ]
    }
   ],
   "source": [
    "# We have 15 Resumes where Skills & Education were not extracted\n",
    "# So, let's remove them\n",
    "\n",
    "print(df[(df.Skills.isna() & df.Education.isna())])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f3f6b14a-0932-4478-b7a1-ee5fca64209c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2469, 4)\n"
     ]
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Skills</th>\n",
       "      <th>Education</th>\n",
       "      <th>ID</th>\n",
       "      <th>Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Accounting; General Accounting; Accounts Payab...</td>\n",
       "      <td>Northern Maine Community College 1994 Associat...</td>\n",
       "      <td>10554236</td>\n",
       "      <td>ACCOUNTANT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>accounting, accounts payable, Accounts Receiva...</td>\n",
       "      <td>Bachelor of Science : Accounting , May 2010 Un...</td>\n",
       "      <td>10674770</td>\n",
       "      <td>ACCOUNTANT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>accounts payables, accounts receivables, Accou...</td>\n",
       "      <td>Computer Applications Specialist Certificate P...</td>\n",
       "      <td>11163645</td>\n",
       "      <td>ACCOUNTANT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>accounting, balance sheet, budgets, client, cl...</td>\n",
       "      <td>EMORY UNIVERSITY, Goizueta Business School 5 2...</td>\n",
       "      <td>11759079</td>\n",
       "      <td>ACCOUNTANT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Aderant/CMS Financial reporting</td>\n",
       "      <td>Bachelor of Business Administration : Accounti...</td>\n",
       "      <td>12065211</td>\n",
       "      <td>ACCOUNTANT</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              Skills  \\\n",
       "0  Accounting; General Accounting; Accounts Payab...   \n",
       "1  accounting, accounts payable, Accounts Receiva...   \n",
       "2  accounts payables, accounts receivables, Accou...   \n",
       "3  accounting, balance sheet, budgets, client, cl...   \n",
       "4                    Aderant/CMS Financial reporting   \n",
       "\n",
       "                                           Education        ID    Category  \n",
       "0  Northern Maine Community College 1994 Associat...  10554236  ACCOUNTANT  \n",
       "1  Bachelor of Science : Accounting , May 2010 Un...  10674770  ACCOUNTANT  \n",
       "2  Computer Applications Specialist Certificate P...  11163645  ACCOUNTANT  \n",
       "3  EMORY UNIVERSITY, Goizueta Business School 5 2...  11759079  ACCOUNTANT  \n",
       "4  Bachelor of Business Administration : Accounti...  12065211  ACCOUNTANT  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We are left with 2469 resumes after removing those 15 resumes with null data in both of them\n",
    "\n",
    "print(df[~(df['Skills'].isna() & df['Education'].isna())].shape)\n",
    "\n",
    "cv_df = df[~(df['Skills'].isna() & df['Education'].isna())].reset_index(drop=True)\n",
    "cv_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "bd4850ee-243f-40bb-bda6-a4328c9a9908",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Skills        76\n",
       "Education    575\n",
       "ID             0\n",
       "Category       0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# New number of null values in Skills & Education Section\n",
    "cv_df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "4b215337-ae9a-4d8e-a290-9bc4bbb8092e",
   "metadata": {
    "scrolled": true,
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   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Skills</th>\n",
       "      <th>Education</th>\n",
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       "      <th>Category</th>\n",
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       "      <th>7</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Bachelor of Science , Accounting Strayer Unive...</td>\n",
       "      <td>12442909</td>\n",
       "      <td>ACCOUNTANT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>NaN</td>\n",
       "      <td>University of Phoenix Masters of Business Admi...</td>\n",
       "      <td>15363277</td>\n",
       "      <td>ACCOUNTANT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Masters , Accounting University of Florida ï¼​...</td>\n",
       "      <td>21794875</td>\n",
       "      <td>ACCOUNTANT</td>\n",
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       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>NaN</td>\n",
       "      <td>High School Diploma : Business Management/Acco...</td>\n",
       "      <td>27637576</td>\n",
       "      <td>ACCOUNTANT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Bachelor of Arts : Economics City College of N...</td>\n",
       "      <td>82649935</td>\n",
       "      <td>ACCOUNTANT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
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       "      <th>2242</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Master of Journalism : PR/Integrated Communica...</td>\n",
       "      <td>59346975</td>\n",
       "      <td>PUBLIC-RELATIONS</td>\n",
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       "    <tr>\n",
       "      <th>2245</th>\n",
       "      <td>NaN</td>\n",
       "      <td>B.A : Marketing June 2005 Berkeley College Mar...</td>\n",
       "      <td>75329822</td>\n",
       "      <td>PUBLIC-RELATIONS</td>\n",
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       "    <tr>\n",
       "      <th>2387</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Plans.\\nApplied progressive teaching principle...</td>\n",
       "      <td>17481570</td>\n",
       "      <td>TEACHER</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2417</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Ph.D. : Philosophy in Education , 2019\\nNorthc...</td>\n",
       "      <td>27126818</td>\n",
       "      <td>TEACHER</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2452</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Ph.D , Counseling Psychology 2012 Walden Unive...</td>\n",
       "      <td>58665241</td>\n",
       "      <td>TEACHER</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>76 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Skills                                          Education        ID  \\\n",
       "7       NaN  Bachelor of Science , Accounting Strayer Unive...  12442909   \n",
       "23      NaN  University of Phoenix Masters of Business Admi...  15363277   \n",
       "46      NaN  Masters , Accounting University of Florida ï¼​...  21794875   \n",
       "76      NaN  High School Diploma : Business Management/Acco...  27637576   \n",
       "115     NaN  Bachelor of Arts : Economics City College of N...  82649935   \n",
       "...     ...                                                ...       ...   \n",
       "2242    NaN  Master of Journalism : PR/Integrated Communica...  59346975   \n",
       "2245    NaN  B.A : Marketing June 2005 Berkeley College Mar...  75329822   \n",
       "2387    NaN  Plans.\\nApplied progressive teaching principle...  17481570   \n",
       "2417    NaN  Ph.D. : Philosophy in Education , 2019\\nNorthc...  27126818   \n",
       "2452    NaN  Ph.D , Counseling Psychology 2012 Walden Unive...  58665241   \n",
       "\n",
       "              Category  \n",
       "7           ACCOUNTANT  \n",
       "23          ACCOUNTANT  \n",
       "46          ACCOUNTANT  \n",
       "76          ACCOUNTANT  \n",
       "115         ACCOUNTANT  \n",
       "...                ...  \n",
       "2242  PUBLIC-RELATIONS  \n",
       "2245  PUBLIC-RELATIONS  \n",
       "2387           TEACHER  \n",
       "2417           TEACHER  \n",
       "2452           TEACHER  \n",
       "\n",
       "[76 rows x 4 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Null values in Skills Section\n",
    "cv_df[cv_df.Skills.isna()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b5b41e30-bc4b-4d4d-a946-49dafe207994",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Skills</th>\n",
       "      <th>Education</th>\n",
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       "      <th>Category</th>\n",
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       "      <td>Budget forecasting expertise General ledger ac...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13130984</td>\n",
       "      <td>ACCOUNTANT</td>\n",
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       "      <th>13</th>\n",
       "      <td>Full Accounting cycle Auditing</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13491889</td>\n",
       "      <td>ACCOUNTANT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>account reconciliations, Accounting, accruals,...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14491649</td>\n",
       "      <td>ACCOUNTANT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Accounting, billing, Change Management, contra...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17407184</td>\n",
       "      <td>ACCOUNTANT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Analytical reasoning Effective time management</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18132924</td>\n",
       "      <td>ACCOUNTANT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2442</th>\n",
       "      <td>Anatomy, Arts, EMR software, front office, inj...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37402097</td>\n",
       "      <td>TEACHER</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2446</th>\n",
       "      <td>Behavior modeling Troubleshooting</td>\n",
       "      <td>NaN</td>\n",
       "      <td>45987048</td>\n",
       "      <td>TEACHER</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2453</th>\n",
       "      <td>Computer literate, drivers, listening, natural...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>58708773</td>\n",
       "      <td>TEACHER</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2458</th>\n",
       "      <td>â€¢ Well versed with the standards of hygiene ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>69005326</td>\n",
       "      <td>TEACHER</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2468</th>\n",
       "      <td>Superb communication both verbal and written.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99244405</td>\n",
       "      <td>TEACHER</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>575 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 Skills Education        ID  \\\n",
       "11    Budget forecasting expertise General ledger ac...       NaN  13130984   \n",
       "13                       Full Accounting cycle Auditing       NaN  13491889   \n",
       "20    account reconciliations, Accounting, accruals,...       NaN  14491649   \n",
       "29    Accounting, billing, Change Management, contra...       NaN  17407184   \n",
       "31       Analytical reasoning Effective time management       NaN  18132924   \n",
       "...                                                 ...       ...       ...   \n",
       "2442  Anatomy, Arts, EMR software, front office, inj...       NaN  37402097   \n",
       "2446                  Behavior modeling Troubleshooting       NaN  45987048   \n",
       "2453  Computer literate, drivers, listening, natural...       NaN  58708773   \n",
       "2458  â€¢ Well versed with the standards of hygiene ...       NaN  69005326   \n",
       "2468      Superb communication both verbal and written.       NaN  99244405   \n",
       "\n",
       "        Category  \n",
       "11    ACCOUNTANT  \n",
       "13    ACCOUNTANT  \n",
       "20    ACCOUNTANT  \n",
       "29    ACCOUNTANT  \n",
       "31    ACCOUNTANT  \n",
       "...          ...  \n",
       "2442     TEACHER  \n",
       "2446     TEACHER  \n",
       "2453     TEACHER  \n",
       "2458     TEACHER  \n",
       "2468     TEACHER  \n",
       "\n",
       "[575 rows x 4 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Null values in Education Section\n",
    "cv_df[cv_df.Education.isna()]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c41827c-6c44-412a-a905-13170bfc3ce7",
   "metadata": {
    "tags": []
   },
   "source": [
    "### Distribution of Different Resumes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "2f59603b-f3ff-4754-aad8-5207afffd8d8",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Category\n",
       "BUSINESS-DEVELOPMENT      119\n",
       "ACCOUNTANT                118\n",
       "INFORMATION-TECHNOLOGY    118\n",
       "FINANCE                   118\n",
       "CHEF                      118\n",
       "ENGINEERING               117\n",
       "AVIATION                  117\n",
       "ADVOCATE                  117\n",
       "SALES                     115\n",
       "CONSULTANT                115\n",
       "BANKING                   115\n",
       "FITNESS                   114\n",
       "HEALTHCARE                114\n",
       "CONSTRUCTION              111\n",
       "PUBLIC-RELATIONS          111\n",
       "HR                        110\n",
       "DESIGNER                  105\n",
       "ARTS                      102\n",
       "TEACHER                   102\n",
       "DIGITAL-MEDIA              96\n",
       "APPAREL                    96\n",
       "AGRICULTURE                63\n",
       "AUTOMOBILE                 36\n",
       "BPO                        22\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cv_df.Category.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "a774fe34-5085-4571-ab0e-6f1eacba44bc",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We can see here the distribution of different CV categories\n",
    "\n",
    "plt.figure(figsize=(8,8))\n",
    "\n",
    "cv_df.Category.value_counts().plot(kind='barh')\n",
    "\n",
    "for index, value in enumerate(cv_df.Category.value_counts().values):\n",
    "    plt.text(value, index, str(value))\n",
    "    \n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d6380bf-f8a8-4249-89da-b3366690a097",
   "metadata": {
    "tags": []
   },
   "source": [
    "### EDA on text data\n",
    "\n",
    "Let's do some basic text cleaning & see some text statistics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "695760da-bc0a-4d78-b7c5-2ab6a9de4c8f",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def text_cleaning(text:str) -> str:\n",
    "    if pd.isnull(text):\n",
    "        return\n",
    "    \n",
    "    # lower-case everything\n",
    "    text = text.lower().strip()\n",
    "    \n",
    "    # For removing puctuations\n",
    "    translator = str.maketrans('', '', string.punctuation)\n",
    "    \n",
    "    # expand all the short-form words\n",
    "    text = contractions.fix(text)\n",
    "    \n",
    "    # remove any special chars\n",
    "    text = re.sub(r'http\\S+|www\\S+|https\\S+', '', text) # Remove URLs\n",
    "    text = re.sub(r'\\S+@\\S+', '', text) # Remove emails\n",
    "    text = re.sub(r'\\b\\d{1,3}[-./]?\\d{1,3}[-./]?\\d{1,4}\\b', '', text) # Remove phone numbers\n",
    "    text = text.translate(translator) # Remove puctuations\n",
    "    text = re.sub(r'[^a-zA-Z]', ' ', text) # Remove other non-alphanumeric characters\n",
    "    \n",
    "    return text.strip()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "ccd1c447-0771-4d53-8d32-3bd08df04ff7",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Progress Bar: 100%|██████████████████████████████████████████████████████████████| 2469/2469 [00:00<00:00, 9292.03it/s]\n"
     ]
    }
   ],
   "source": [
    "# Let's stitch together Skills & Education, similar to given in job description.\n",
    "resume_df = cv_df.copy()\n",
    "\n",
    "# Filling the null values in Skills & Education with Empty String before concatinating them\n",
    "resume_df = resume_df.fillna(value='')\n",
    "\n",
    "resume_df['CV'] = resume_df['Skills'] + ' ' + resume_df['Education']\n",
    "resume_df['CV'] = resume_df['CV'].progress_apply(text_cleaning)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c336099c-252f-45dc-af21-562b12d9e35c",
   "metadata": {
    "tags": []
   },
   "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>Skills</th>\n",
       "      <th>Education</th>\n",
       "      <th>ID</th>\n",
       "      <th>Category</th>\n",
       "      <th>CV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Accounting; General Accounting; Accounts Payab...</td>\n",
       "      <td>Northern Maine Community College 1994 Associat...</td>\n",
       "      <td>10554236</td>\n",
       "      <td>ACCOUNTANT</td>\n",
       "      <td>accounting general accounting accounts payable...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>accounting, accounts payable, Accounts Receiva...</td>\n",
       "      <td>Bachelor of Science : Accounting , May 2010 Un...</td>\n",
       "      <td>10674770</td>\n",
       "      <td>ACCOUNTANT</td>\n",
       "      <td>accounting accounts payable accounts receivabl...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>accounts payables, accounts receivables, Accou...</td>\n",
       "      <td>Computer Applications Specialist Certificate P...</td>\n",
       "      <td>11163645</td>\n",
       "      <td>ACCOUNTANT</td>\n",
       "      <td>accounts payables accounts receivables account...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>accounting, balance sheet, budgets, client, cl...</td>\n",
       "      <td>EMORY UNIVERSITY, Goizueta Business School 5 2...</td>\n",
       "      <td>11759079</td>\n",
       "      <td>ACCOUNTANT</td>\n",
       "      <td>accounting balance sheet budgets client client...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Aderant/CMS Financial reporting</td>\n",
       "      <td>Bachelor of Business Administration : Accounti...</td>\n",
       "      <td>12065211</td>\n",
       "      <td>ACCOUNTANT</td>\n",
       "      <td>aderantcms financial reporting bachelor of bus...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              Skills  \\\n",
       "0  Accounting; General Accounting; Accounts Payab...   \n",
       "1  accounting, accounts payable, Accounts Receiva...   \n",
       "2  accounts payables, accounts receivables, Accou...   \n",
       "3  accounting, balance sheet, budgets, client, cl...   \n",
       "4                    Aderant/CMS Financial reporting   \n",
       "\n",
       "                                           Education        ID    Category  \\\n",
       "0  Northern Maine Community College 1994 Associat...  10554236  ACCOUNTANT   \n",
       "1  Bachelor of Science : Accounting , May 2010 Un...  10674770  ACCOUNTANT   \n",
       "2  Computer Applications Specialist Certificate P...  11163645  ACCOUNTANT   \n",
       "3  EMORY UNIVERSITY, Goizueta Business School 5 2...  11759079  ACCOUNTANT   \n",
       "4  Bachelor of Business Administration : Accounti...  12065211  ACCOUNTANT   \n",
       "\n",
       "                                                  CV  \n",
       "0  accounting general accounting accounts payable...  \n",
       "1  accounting accounts payable accounts receivabl...  \n",
       "2  accounts payables accounts receivables account...  \n",
       "3  accounting balance sheet budgets client client...  \n",
       "4  aderantcms financial reporting bachelor of bus...  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resume_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "899621b3-628e-4756-8657-faa3f1ebd47b",
   "metadata": {},
   "source": [
    "### Analyzing Mean Word length(and Percentile wise) in CVs by their Category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "f4243afb-5c7d-44f7-9409-eb0ac3d7c81e",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Here (x-percentile = y) means that, that x% of words have \n",
    "# in the whole corpus have length less than or equal to y in the corpus of text we have\n",
    "\n",
    "# for category in resume_df.Category.unique():\n",
    "#     category_wise_cv = resume_df[resume_df.Category==category]['CV']\n",
    "#     print(f\"{category}\")\n",
    "#     print(category_wise_cv.str.split().str.len().describe(percentiles=[0.05,0.5,0.8,0.9,0.95]), end='\\n\\n')\n",
    "\n",
    "# SAME THING IS DONE BELOW, FOR BETTER visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "cf411491-94b6-43d5-9ac6-77cc3d380a68",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\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>Category</th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>5%</th>\n",
       "      <th>50%</th>\n",
       "      <th>80%</th>\n",
       "      <th>90%</th>\n",
       "      <th>95%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ACCOUNTANT</td>\n",
       "      <td>118.0</td>\n",
       "      <td>53.762712</td>\n",
       "      <td>77.190372</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.85</td>\n",
       "      <td>37.5</td>\n",
       "      <td>72.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>113.95</td>\n",
       "      <td>710.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ADVOCATE</td>\n",
       "      <td>117.0</td>\n",
       "      <td>50.632479</td>\n",
       "      <td>60.125816</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>37.0</td>\n",
       "      <td>69.8</td>\n",
       "      <td>89.4</td>\n",
       "      <td>137.80</td>\n",
       "      <td>532.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AGRICULTURE</td>\n",
       "      <td>63.0</td>\n",
       "      <td>95.619048</td>\n",
       "      <td>160.796649</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.20</td>\n",
       "      <td>51.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>153.2</td>\n",
       "      <td>297.80</td>\n",
       "      <td>985.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>APPAREL</td>\n",
       "      <td>96.0</td>\n",
       "      <td>50.364583</td>\n",
       "      <td>107.048451</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>34.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>102.75</td>\n",
       "      <td>1049.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ARTS</td>\n",
       "      <td>102.0</td>\n",
       "      <td>101.333333</td>\n",
       "      <td>164.892424</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.05</td>\n",
       "      <td>50.5</td>\n",
       "      <td>106.6</td>\n",
       "      <td>156.6</td>\n",
       "      <td>482.75</td>\n",
       "      <td>893.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>AUTOMOBILE</td>\n",
       "      <td>36.0</td>\n",
       "      <td>39.916667</td>\n",
       "      <td>29.792017</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.50</td>\n",
       "      <td>35.5</td>\n",
       "      <td>64.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>98.00</td>\n",
       "      <td>115.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>AVIATION</td>\n",
       "      <td>117.0</td>\n",
       "      <td>71.871795</td>\n",
       "      <td>112.382777</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>41.0</td>\n",
       "      <td>86.6</td>\n",
       "      <td>147.8</td>\n",
       "      <td>269.80</td>\n",
       "      <td>879.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>BANKING</td>\n",
       "      <td>115.0</td>\n",
       "      <td>77.539130</td>\n",
       "      <td>159.677377</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.00</td>\n",
       "      <td>46.0</td>\n",
       "      <td>79.2</td>\n",
       "      <td>105.6</td>\n",
       "      <td>222.00</td>\n",
       "      <td>1487.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>BPO</td>\n",
       "      <td>22.0</td>\n",
       "      <td>53.818182</td>\n",
       "      <td>35.653940</td>\n",
       "      <td>2.0</td>\n",
       "      <td>14.05</td>\n",
       "      <td>48.5</td>\n",
       "      <td>71.2</td>\n",
       "      <td>87.9</td>\n",
       "      <td>121.25</td>\n",
       "      <td>156.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>BUSINESS-DEVELOPMENT</td>\n",
       "      <td>119.0</td>\n",
       "      <td>49.126050</td>\n",
       "      <td>37.023253</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>40.0</td>\n",
       "      <td>81.2</td>\n",
       "      <td>103.2</td>\n",
       "      <td>121.40</td>\n",
       "      <td>183.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>CHEF</td>\n",
       "      <td>118.0</td>\n",
       "      <td>87.000000</td>\n",
       "      <td>170.605358</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.85</td>\n",
       "      <td>45.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>157.8</td>\n",
       "      <td>255.80</td>\n",
       "      <td>1417.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>CONSTRUCTION</td>\n",
       "      <td>111.0</td>\n",
       "      <td>44.468468</td>\n",
       "      <td>45.718669</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.50</td>\n",
       "      <td>34.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>109.00</td>\n",
       "      <td>305.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>CONSULTANT</td>\n",
       "      <td>115.0</td>\n",
       "      <td>66.269565</td>\n",
       "      <td>105.850965</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>42.0</td>\n",
       "      <td>96.4</td>\n",
       "      <td>124.0</td>\n",
       "      <td>169.60</td>\n",
       "      <td>867.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>DESIGNER</td>\n",
       "      <td>105.0</td>\n",
       "      <td>59.895238</td>\n",
       "      <td>80.703270</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.20</td>\n",
       "      <td>44.0</td>\n",
       "      <td>73.6</td>\n",
       "      <td>93.6</td>\n",
       "      <td>190.40</td>\n",
       "      <td>588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>DIGITAL-MEDIA</td>\n",
       "      <td>96.0</td>\n",
       "      <td>46.812500</td>\n",
       "      <td>43.288339</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.75</td>\n",
       "      <td>37.5</td>\n",
       "      <td>68.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>119.25</td>\n",
       "      <td>303.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>ENGINEERING</td>\n",
       "      <td>117.0</td>\n",
       "      <td>62.239316</td>\n",
       "      <td>91.660228</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.80</td>\n",
       "      <td>39.0</td>\n",
       "      <td>75.8</td>\n",
       "      <td>117.0</td>\n",
       "      <td>174.40</td>\n",
       "      <td>574.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>FINANCE</td>\n",
       "      <td>118.0</td>\n",
       "      <td>54.694915</td>\n",
       "      <td>46.293657</td>\n",
       "      <td>3.0</td>\n",
       "      <td>12.00</td>\n",
       "      <td>47.0</td>\n",
       "      <td>72.6</td>\n",
       "      <td>88.0</td>\n",
       "      <td>106.50</td>\n",
       "      <td>320.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>FITNESS</td>\n",
       "      <td>114.0</td>\n",
       "      <td>69.464912</td>\n",
       "      <td>112.362496</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.65</td>\n",
       "      <td>37.0</td>\n",
       "      <td>85.4</td>\n",
       "      <td>110.4</td>\n",
       "      <td>226.40</td>\n",
       "      <td>665.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>HEALTHCARE</td>\n",
       "      <td>114.0</td>\n",
       "      <td>85.298246</td>\n",
       "      <td>164.006471</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>39.5</td>\n",
       "      <td>80.8</td>\n",
       "      <td>113.7</td>\n",
       "      <td>498.45</td>\n",
       "      <td>905.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>HR</td>\n",
       "      <td>110.0</td>\n",
       "      <td>76.445455</td>\n",
       "      <td>138.636187</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.45</td>\n",
       "      <td>49.5</td>\n",
       "      <td>81.0</td>\n",
       "      <td>116.4</td>\n",
       "      <td>131.65</td>\n",
       "      <td>996.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>INFORMATION-TECHNOLOGY</td>\n",
       "      <td>118.0</td>\n",
       "      <td>61.974576</td>\n",
       "      <td>70.105715</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>45.5</td>\n",
       "      <td>88.6</td>\n",
       "      <td>129.3</td>\n",
       "      <td>139.60</td>\n",
       "      <td>560.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>PUBLIC-RELATIONS</td>\n",
       "      <td>111.0</td>\n",
       "      <td>81.873874</td>\n",
       "      <td>115.654982</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.50</td>\n",
       "      <td>48.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>147.0</td>\n",
       "      <td>297.50</td>\n",
       "      <td>745.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>SALES</td>\n",
       "      <td>115.0</td>\n",
       "      <td>62.991304</td>\n",
       "      <td>125.206951</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>37.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>96.2</td>\n",
       "      <td>181.30</td>\n",
       "      <td>1062.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>TEACHER</td>\n",
       "      <td>102.0</td>\n",
       "      <td>71.156863</td>\n",
       "      <td>97.050742</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.00</td>\n",
       "      <td>42.0</td>\n",
       "      <td>81.8</td>\n",
       "      <td>158.1</td>\n",
       "      <td>224.20</td>\n",
       "      <td>586.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Category  count        mean         std  min     5%   50%  \\\n",
       "0               ACCOUNTANT  118.0   53.762712   77.190372  1.0   3.85  37.5   \n",
       "1                 ADVOCATE  117.0   50.632479   60.125816  2.0   3.00  37.0   \n",
       "2              AGRICULTURE   63.0   95.619048  160.796649  2.0   6.20  51.0   \n",
       "3                  APPAREL   96.0   50.364583  107.048451  1.0   3.00  34.0   \n",
       "4                     ARTS  102.0  101.333333  164.892424  1.0   5.05  50.5   \n",
       "5               AUTOMOBILE   36.0   39.916667   29.792017  0.0   2.50  35.5   \n",
       "6                 AVIATION  117.0   71.871795  112.382777  2.0   3.00  41.0   \n",
       "7                  BANKING  115.0   77.539130  159.677377  3.0   7.00  46.0   \n",
       "8                      BPO   22.0   53.818182   35.653940  2.0  14.05  48.5   \n",
       "9     BUSINESS-DEVELOPMENT  119.0   49.126050   37.023253  1.0   3.00  40.0   \n",
       "10                    CHEF  118.0   87.000000  170.605358  1.0   5.85  45.0   \n",
       "11            CONSTRUCTION  111.0   44.468468   45.718669  2.0   4.50  34.0   \n",
       "12              CONSULTANT  115.0   66.269565  105.850965  1.0   2.00  42.0   \n",
       "13                DESIGNER  105.0   59.895238   80.703270  1.0   3.20  44.0   \n",
       "14           DIGITAL-MEDIA   96.0   46.812500   43.288339  2.0   4.75  37.5   \n",
       "15             ENGINEERING  117.0   62.239316   91.660228  1.0   3.80  39.0   \n",
       "16                 FINANCE  118.0   54.694915   46.293657  3.0  12.00  47.0   \n",
       "17                 FITNESS  114.0   69.464912  112.362496  1.0   2.65  37.0   \n",
       "18              HEALTHCARE  114.0   85.298246  164.006471  1.0   3.00  39.5   \n",
       "19                      HR  110.0   76.445455  138.636187  1.0   3.45  49.5   \n",
       "20  INFORMATION-TECHNOLOGY  118.0   61.974576   70.105715  1.0   2.00  45.5   \n",
       "21        PUBLIC-RELATIONS  111.0   81.873874  115.654982  1.0   8.50  48.0   \n",
       "22                   SALES  115.0   62.991304  125.206951  1.0   2.00  37.0   \n",
       "23                 TEACHER  102.0   71.156863   97.050742  2.0   6.00  42.0   \n",
       "\n",
       "      80%    90%     95%     max  \n",
       "0    72.0   92.0  113.95   710.0  \n",
       "1    69.8   89.4  137.80   532.0  \n",
       "2   110.0  153.2  297.80   985.0  \n",
       "3    59.0   77.0  102.75  1049.0  \n",
       "4   106.6  156.6  482.75   893.0  \n",
       "5    64.0   71.0   98.00   115.0  \n",
       "6    86.6  147.8  269.80   879.0  \n",
       "7    79.2  105.6  222.00  1487.0  \n",
       "8    71.2   87.9  121.25   156.0  \n",
       "9    81.2  103.2  121.40   183.0  \n",
       "10   84.0  157.8  255.80  1417.0  \n",
       "11   63.0   88.0  109.00   305.0  \n",
       "12   96.4  124.0  169.60   867.0  \n",
       "13   73.6   93.6  190.40   588.0  \n",
       "14   68.0   90.0  119.25   303.0  \n",
       "15   75.8  117.0  174.40   574.0  \n",
       "16   72.6   88.0  106.50   320.0  \n",
       "17   85.4  110.4  226.40   665.0  \n",
       "18   80.8  113.7  498.45   905.0  \n",
       "19   81.0  116.4  131.65   996.0  \n",
       "20   88.6  129.3  139.60   560.0  \n",
       "21   94.0  147.0  297.50   745.0  \n",
       "22   69.0   96.2  181.30  1062.0  \n",
       "23   81.8  158.1  224.20   586.0  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "category_stats = []\n",
    "\n",
    "for category in resume_df['Category'].unique():\n",
    "    category_wise_cv = resume_df[resume_df['Category'] == category]['CV']\n",
    "    stats = category_wise_cv.str.split().str.len().describe(percentiles=[0.05, 0.5, 0.8, 0.9, 0.95])\n",
    "    category_stats.append({'Category': category, **stats.to_dict()})\n",
    "\n",
    "stats_df = pd.DataFrame(category_stats)\n",
    "\n",
    "# Display the resulting DataFrame\n",
    "stats_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "01f69f07-c3bc-49c5-aba1-c68bf64f6f8a",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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bNGliO5MtSVWqVJGvr68OHz582/0EBwerY8eOtrYCBQqob9++SkxM1KZNm+7qebi7u6t9+/ZasGCBpOsT0JUoUcJ2VvVGFy5c0Pr169W+fXtdunRJ//zzj/755x+dP39ezZo1U0xMjE6dOiXp+u8xfZKxtLQ0nT9/3na5xO7duzM8dteuXe2uSU3f/+2OT8WKFVW0aFHbteq//vqrLl++bDsbXLduXdtIj23btiktLc12PXv6a+TfZ1rTRyr88MMPdu1hYWEZLhn48ccfVbx4cT3zzDO2NovFol69et0yd1YZhqHFixerVatWMgzDdsz/+ecfNWvWTPHx8RmO5+2O5c6dO3X+/Hn17NnTbk6KTp06qXDhwtnKV7BgQT333HO2256ennrooYdu+3u7lV69etlddvPII48oLS1Nx44du+l9EhISJCnTYfE3k577xstDFi9erJSUFLuzsuln0letWqWkpKQsP346Dw8Pvfjii7bbnp6eevHFF3Xu3Dnt2rVL0vW/DyEhIZo3b55tu3379um3336zO76Zye5zv3EEUkpKiv755x89/PDDkpTpe/PflixZIqvVqvbt29u9HoODg1WuXDnbig3ZeZ1l9+9cZGRkhpFEd3MMAeRPFO0A7kmJiYm3/GD4n//8R/Xq1VOPHj0UFBSkDh06aNGiRdkq4O+7775sTShUrlw5u9smk0lly5a97fXcd+vYsWMKCQnJcDwqVqxo679RZkN2CxcurIsXL952P+XKlcswy/bN9nMnnn32Wf3xxx/69ddfNX/+fHXo0CHDXAWSdPDgQRmGoeHDhysgIMDuJ33G+nPnzkmSrFarJk2apHLlysnLy0vFihVTQECAfvvtt0yvA/738Un/UH+742MymVS3bl3btetbtmxRYGCgypYtK8m+aE//b3rRfuzYMbm5udm2TRccHCx/f/8MxzYsLCzD/o8dO6ayZctmOF4VKlS4Ze6s+vvvvxUXF6fp06dnOObpX26lH/N0tzuW6c/r38/bw8Mjw7wNt3P//fdneO5ZeV3fyp28Fnx9fSUpW0tTVqlSRQ888IDtCyvpegFfrFgxuy9nwsLCNHDgQH3++ee2vo8//jjL17OHhITIx8fHrq18+fKSZPs75ebmpk6dOmnp0qW2LwbSV3Bo167dLR8/u8/9woUL6tevn4KCgmQ2mxUQEGB7bWflOcXExMgwDJUrVy7Da/LPP/+0vR6z8zrL7t+5zN6Ld3MMAeRPXNMO4J5z8uRJxcfHZ/gAdiOz2ayffvpJGzZs0A8//KCVK1fqq6++0mOPPabVq1fbXWd4q8fIaZkVoNL1M8BZyZQTbrYf41+T1jlD7dq1VaZMGfXv319HjhzRs88+m+l26V++DB48+KaT1KW/PsaNG6fhw4erW7duGj16tIoUKSI3Nzf1798/0y9x7ub41K9fX99//72io6Nt17Onq1u3rm2egc2bNyskJESlS5e2u//NXh//5oyZ4tOP1XPPPacuXbpkus2NyzBKjn2t5ca+7uQxy5YtKw8PD0VHR2drX88995yGDh2qnTt36v7779eGDRv04osvZlgVY8KECXrhhRf03XffafXq1erbt6/Gjx+v7du3212bfTeef/55/e9//9PSpUvVsWNHzZ8/X08++eRtr5kPDw+XJEVHR2c6Qubf2rdvr61bt+q1115TtWrVVLBgQVmtVjVv3jxLX7BarVaZTCatWLEi099VwYIFb/sYd+tm78U7PYYA8ieKdgD3nDlz5kjSTYu1dG5ubmrcuLEaN26siRMnaty4cXrzzTe1YcMGNWnSJMsFUlbFxMTY3TYMQwcPHrQrZAoXLqy4uLgM9z127JhdAZedbKGhoVq7dq0uXbpkd7b9r7/+svXnhNDQUP3222+yWq12Z6Fyej8dO3bUmDFjVLFixZuux51+rAoUKKAmTZrc8vG++eYbNWrUSDNmzLBrj4uLs01qlVNuXK99y5YtdhOz1axZU15eXtq4caN27NihJ554wtYXGhoqq9WqmJgY2xk96frEb3FxcVk6tqGhodq3b58Mw7B7/ezfvz8Hntn1ib8KFSqktLS02x7zrEp/XgcPHrRbw/7atWs6evSo3Xsnp9+vucViseixxx7T+vXrdeLECZUoUSJL9+vYsaOGDRum+fPnKzQ0VGlpaTedsCwiIkIRERH673//q61bt6pevXqaNm2axowZc8t9nD59WpcvX7Y7237gwAFJsjvj/MADD6h69eqaN2+e7r//fh0/flwffvjhbZ9Dq1atNH78eM2dO/e2RfvFixe1bt06jRo1Sm+99Zat/d9/R6Wb/+7LlCkjwzAUFhZmGzGQmey8znLq79ydHkMA+RPD4wHcU9avX6/Ro0crLCzsljPwXrhwIUNbegGYvgRW+gfXzIroO/Hll1/aDQv95ptvdObMGbuZq8uUKaPt27frypUrtrbly5dnWJ4oO9meeOIJpaWl6aOPPrJrnzRpkkwm0x3PnJ3ZfmJjY+1mzr527Zo+/PBDFSxYUI8++miO7KdHjx4aMWKEJkyYcNNtAgMD1bBhQ3366ac6c+ZMhv4bl+Vyd3fPcGb066+/tl3znpNq1aolb29vzZs3T6dOnbI70+7l5aUaNWro448/1uXLl+3WZ08v4CdPnmz3eBMnTpQktWzZ8rb7fuKJJ3T69Gl98803trakpCRNnz79bp6Sjbu7uyIjI7V48WLt27cvQ39WlkL7t1q1aqlo0aL67LPPdO3aNVv7vHnzMgxBz+n3a24aMWKEDMNQ586dlZiYmKF/165dGZYQK1mypB555BF99dVXmjt3rsLCwjKsGJGQkGB3nKTrBbybm1uWlva7du2abXlA6fps9J9++qkCAgJUs2ZNu207d+6s1atXa/LkySpatGiW/o7UqVNHzZs31+eff66lS5dm6L9y5YoGDx4s6f9GMfz7vfnv94B089/9008/LXd3d40aNSrD4xiGYVs6Ljuvs5z8O3cnxxBA/sSZdgD51ooVK/TXX3/p2rVrOnv2rNavX681a9YoNDRUy5Ytk7e3903v+/bbb+unn35Sy5YtFRoaqnPnzumTTz7R/fffbyuWypQpI39/f02bNk2FChWSj4+Pateunek1illRpEgR1a9fX127dtXZs2c1efJklS1b1m5Zuh49euibb75R8+bN1b59ex06dEhz5861mxguu9latWqlRo0a6c0339TRo0dVtWpVrV69Wt9995369++f4bHvVK9evfTpp5/qhRde0K5du1SqVCl988032rJliyZPnpytibduJTQ0VCNHjrztdh9//LHq16+viIgI9ezZU6VLl9bZs2e1bds2nTx50rYO+5NPPqm3335bXbt2Vd26dRUdHa158+ZlGJqeEzw9PfXggw/q559/lpeXV4ZCqG7durYvI24s2qtWraouXbpo+vTpiouL06OPPqpffvlFs2fPVps2bezODt5Mz5499dFHH+n555/Xrl27VLx4cc2ZM0cWiyVbz+GLL77QypUrM7T369dP77zzjjZs2KDatWurZ8+eqlSpki5cuKDdu3dr7dq1mX5Zdiuenp4aOXKkXn31VT322GNq3769jh49qlmzZqlMmTJ2Z1hz+v2am+rWrauPP/5YL7/8ssLDw9W5c2eVK1dOly5d0saNG7Vs2bJMz4o/99xz6tWrl06fPq0333wzQ//69ev1yiuvqF27dipfvryuXbumOXPm2L5QuZ2QkBC9++67Onr0qMqXL6+vvvpKe/fu1fTp0zMsq/jss8/q9ddf17fffqvevXtnuuxiZr788ks1bdpUTz/9tFq1aqXGjRvLx8dHMTExWrhwoc6cOaP3339fvr6+atCggd577z1dvXpV9913n1avXq0jR45keMz099Gbb76pDh06qECBAmrVqpXKlCmjMWPGaNiwYbYl3AoVKqQjR47o22+/Va9evTR48OBsvc5y8u/cnR5DAPmQo6erB4Dclr7cUvqPp6enERwcbDz++OPGBx98YLe0WLp/L/m2bt06o3Xr1kZISIjh6elphISEGB07djQOHDhgd7/vvvvOqFSpkuHh4WG3nNSjjz5qVK5cOdN8N1vybcGCBcawYcOMwMBAw2w2Gy1btjSOHTuW4f4TJkww7rvvPsPLy8uoV6+esXPnzgyPeats/17yzTAM49KlS8aAAQOMkJAQo0CBAka5cuWM//3vf3bLVRnG9SXf+vTpkyHTzZai+7ezZ88aXbt2NYoVK2Z4enoaERERmS7BdSdLvt3KzZYjO3TokPH8888bwcHBRoECBYz77rvPePLJJ41vvvnGtk1KSooxaNAgo3jx4obZbDbq1atnbNu27aa/x38vp5W+tFNmzzMzw4YNMyQZdevWzdC3ZMkSQ5JRqFAh49q1a3Z9V69eNUaNGmWEhYUZBQoUMEqUKGEMGzbMbkk7w7j18Tp27Jjx1FNPGRaLxShWrJjRr18/Y+XKldla8u1mPydOnDAM4/proE+fPkaJEiWMAgUKGMHBwUbjxo2N6dOn2x4ru8dyypQpRmhoqOHl5WU89NBDxpYtW4yaNWsazZs3t9suu+/XzN4rmbnZkm//fr2lP6/bHct0u3btMp599lnb+7Jw4cJG48aNjdmzZ2dYhtAwDOPChQuGl5eXIcn4448/MvQfPnzY6Natm1GmTBnD29vbKFKkiNGoUSNj7dq1t82Sfox27txp1KlTx/D29jZCQ0ONjz766Kb3eeKJJwxJxtatW7P0fNMlJSUZ77//vvHggw8aBQsWNDw9PY1y5coZr776qt1ykydPnjTatm1r+Pv7G35+fka7du2M06dPG5KMESNG2D3m6NGjjfvuu89wc3PLsPzb4sWLjfr16xs+Pj6Gj4+PER4ebvTp08duCT3DyPrrLCt/59Jfy//73/9ueSzu9BgCyF9MhuECMwcBAADkEKvVqoCAAD399NP67LPPnB3nntW2bVtFR0fr4MGDzo6SKxzxOsvvxxBA1nBNOwAAyLNSUlIyXI/85Zdf6sKFC2rYsKFzQkFnzpzRDz/8oM6dOzs7So5wxussvx1DAHeOM+0AACDP2rhxowYMGKB27dqpaNGi2r17t2bMmKGKFStq165d8vT0dHbEe8qRI0e0ZcsWff7554qKitKhQ4cUHBzs7Fh3zZGvs/x6DAHcOSaiAwAAeVapUqVUokQJTZkyRRcuXFCRIkX0/PPP65133qFgd4JNmzapa9euKlmypGbPnp1vik1Hvs7y6zEEcOc40w4AAAAAgIvimnYAAAAAAFwURTsAAAAAAC6Ka9p1fcmO06dPq1ChQjKZTM6OAwAAAADI5wzD0KVLlxQSEiI3t5ufT6dol3T69GmVKFHC2TEAAAAAAPeYEydO6P77779pP0W7pEKFCkm6frB8fX2dnAYAAAAAkN8lJCSoRIkStnr0ZijaJduQeF9fX4p2AAAAAIDD3O4SbSaiAwAAAADARVG0AwAAAADgoijaAQAAAABwURTtAAAAAAC4KIp2AAAAAABcFEU74EJ++ukntWrVSiEhITKZTFq6dKldv2EYeuutt1S8eHGZzWY1adJEMTExdtuMHTtWdevWlcVikb+/v+PCAwAAAMhxFO2AC7l8+bKqVq2qjz/+ONP+9957T1OmTNG0adO0Y8cO+fj4qFmzZkpJSbFtc+XKFbVr1069e/d2VGwAAAAAuYR12gEX0qJFC7Vo0SLTPsMwNHnyZP33v/9V69atJUlffvmlgoKCtHTpUnXo0EGSNGrUKEnSrFmzHJIZAAAAQO7hTDuQRxw5ckSxsbFq0qSJrc3Pz0+1a9fWtm3bnJgMAAAAQG6haAfyiNjYWElSUFCQXXtQUJCtDwAAAED+QtEOAAAAAICLomgH8ojg4GBJ0tmzZ+3az549a+sDAAAAkL9QtAN5RFhYmIKDg7Vu3TpbW0JCgnbs2KE6deo4MRkAAACA3MLs8YALSUxM1MGDB223jxw5or1796pIkSIqWbKk+vfvrzFjxqhcuXIKCwvT8OHDFRISojZt2tjuc/z4cV24cEHHjx9XWlqa9u7dK0kqW7asChYs6OBnBAAAAOBumAzDMJwdwtkSEhLk5+en+Ph4+fr6OjsO7mEbN25Uo0aNMrR36dJFs2bNkmEYGjFihKZPn664uDjVr19fn3zyicqXL2/b9oUXXtDs2bMzPMaGDRvUsGHD3IwPAAAAIIuyWodStIuiHQAAAADgWFmtQxkeDziJYRhKTk5WUlJShj6r1aq4uLgc2Y+/v7/c3DKfvsJischsNstkMuXIvgAAAADkLIp2wEmSk5MVERHh7BiKjo6WxWJxdgwAAAAAmWD2eAAAAAAAXBRn2gEnMZvNio6Odonh8QAAAABcE0U74CQmk0kWi+WmQ9MDAwMdnAgAAACAq2F4PAAAAAAALoqiHQAAAAAAF+XUov2nn35Sq1atFBISIpPJpKVLl9r1G4aht956S8WLF5fZbFaTJk0UExNjt82FCxfUqVMn+fr6yt/fX927d1diYqIDnwUAAAAAALnDqUX75cuXVbVqVX388ceZ9r/33nuaMmWKpk2bph07dsjHx0fNmjVTSkqKbZtOnTrp999/15o1a7R8+XL99NNP6tWrl6OeAgAAAAAAucZkGIbh7BDS9Um5vv32W7Vp00bS9bPsISEhGjRokAYPHixJio+PV1BQkGbNmqUOHTrozz//VKVKlRQVFaVatWpJklauXKknnnhCJ0+eVEhISJb2nZCQID8/P8XHx8vX1zdXnh8AAAAAAOmyWoe67DXtR44cUWxsrJo0aWJr8/PzU+3atbVt2zZJ0rZt2+Tv728r2CWpSZMmcnNz044dO2762KmpqUpISLD7AQAAAADA1bhs0R4bGytJCgoKsmsPCgqy9cXGxmZYFsvDw0NFihSxbZOZ8ePHy8/Pz/ZTokSJHE4PAAAAAMDdc9miPTcNGzZM8fHxtp8TJ044OxIAAAAAABm4bNEeHBwsSTp79qxd+9mzZ219wcHBOnfunF3/tWvXdOHCBds2mfHy8pKvr6/dDwAAAAAArsZli/awsDAFBwdr3bp1traEhATt2LFDderUkSTVqVNHcXFx2rVrl22b9evXy2q1qnbt2g7PDAAAAABATvJw5s4TExN18OBB2+0jR45o7969KlKkiEqWLKn+/ftrzJgxKleunMLCwjR8+HCFhITYZpivWLGimjdvrp49e2ratGm6evWqXnnlFXXo0CHLM8cDAAAAAOCqnFq079y5U40aNbLdHjhwoCSpS5cumjVrll5//XVdvnxZvXr1UlxcnOrXr6+VK1fK29vbdp958+bplVdeUePGjeXm5qbIyEhNmTLF4c8FAAAAAICc5jLrtDsT67QDAAAAABwpz6/TDgAAAADAvY6iHQAAAAAAF0XRDgAAAACAi6JoBwAAAADARVG0AwAAAADgoijaAQAAAABwURTtAAAAAAC4KIp2AAAAAABcFEU7AAAAAAAuiqIdAAAAAAAXRdEOh7p06ZL69++v0NBQmc1m1a1bV1FRUXbb/Pnnn3rqqafk5+cnHx8fPfjggzp+/LiTEgMAAACA81C0w6F69OihNWvWaM6cOYqOjlbTpk3VpEkTnTp1SpJ06NAh1a9fX+Hh4dq4caN+++03DR8+XN7e3k5ODgAAAACOZzIMw3B2CGdLSEiQn5+f4uPj5evr6+w4+VZycrIKFSqk7777Ti1btrS116xZUy1atNCYMWPUoUMHFShQQHPmzHFiUgAAAADIXVmtQznTDoe5du2a0tLSMpw1N5vN2rx5s6xWq3744QeVL19ezZo1U2BgoGrXrq2lS5c6JzAAAAAAOBlFOxymUKFCqlOnjkaPHq3Tp08rLS1Nc+fO1bZt23TmzBmdO3dOiYmJeuedd9S8eXOtXr1abdu21dNPP61NmzY5Oz4AAAAAOBxFOxxqzpw5MgxD9913n7y8vDRlyhR17NhRbm5uslqtkqTWrVtrwIABqlatmoYOHaonn3xS06ZNc3JyAAAAAHA8inY4VJkyZbRp0yYlJibqxIkT+uWXX3T16lWVLl1axYoVk4eHhypVqmR3n4oVKzJ7PAAAAIB7EkU7nMLHx0fFixfXxYsXtWrVKrVu3Vqenp568MEHtX//frttDxw4oNDQUCclBQAAAADn8XB2ANxbVq1aJcMwVKFCBR08eFCvvfaawsPD1bVrV0nSa6+9pv/85z9q0KCBGjVqpJUrV+r777/Xxo0bnRscAAAAAJyAM+1wqPj4ePXp00fh4eF6/vnnVb9+fa1atUoFChSQJLVt21bTpk3Te++9p4iICH3++edavHix6tev7+TkAAAAAOB4rNMu1mkHAAAAADhWVutQhsfjrhmGoeTkZCUlJWXab7VaFRcXd9f78ff3l5tb5oNDLBaLzGazTCbTXe8HAAAAAFwFRTvuWnJysiIiIpwdQ9HR0bJYLM6OAQAAAAA5hmvaAQAAAABwUZxpx10zm82Kjo52ieHxAAAAAJCfULTjrplMJlksllsOTQ8MDHRgIgAAAADIHxgeDwAAAACAi6JoBwAAAADARVG0AwAAAADgoijaAQAAAABwURTtAAAAAAC4KIp2AAAAAABcFEU7AAAAAAAuiqIdAAAAAAAXRdEOAAAAAICLomgHAAAAAMBFUbQDAAAAAOCiKNoBAAAAAHBRFO0AAAAAALgoinYAAAAAAFwURTsAAAAAAC6Koh0AAAAAABdF0Q4AAAAAgIuiaAcAAAAAwEVRtAMAAAAA4KIo2gEAAAAAcFEU7QAAAAAAuCiKdgAAAAAAXBRFOwAAAAAALoqiHQAAAAAAF0XRDgAAAACAi6JoBwAAAADARVG0AwAAAADgoijaAQAAAABwURTtAAAAAAC4KIp2AAAAAABcFEU7AAAAAAAuyuWL9kuXLql///4KDQ2V2WxW3bp1FRUVZes3DENvvfWWihcvLrPZrCZNmigmJsaJiQEAAAAAyBkuX7T36NFDa9as0Zw5cxQdHa2mTZuqSZMmOnXqlCTpvffe05QpUzRt2jTt2LFDPj4+atasmVJSUpycHAAAAACAu2MyDMNwdoibSU5OVqFChfTdd9+pZcuWtvaaNWuqRYsWGj16tEJCQjRo0CANHjxYkhQfH6+goCDNmjVLHTp0yNJ+EhIS5Ofnp/j4ePn6+ubKcwEAAAAAIF1W61CXPtN+7do1paWlydvb267dbDZr8+bNOnLkiGJjY9WkSRNbn5+fn2rXrq1t27bd9HFTU1OVkJBg9wMAAAAAgKtx6aK9UKFCqlOnjkaPHq3Tp08rLS1Nc+fO1bZt23TmzBnFxsZKkoKCguzuFxQUZOvLzPjx4+Xn52f7KVGiRK4+DwAAAAAA7oRLF+2SNGfOHBmGofvuu09eXl6aMmWKOnbsKDe3O48+bNgwxcfH235OnDiRg4kBAAAAAMgZLl+0lylTRps2bVJiYqJOnDihX375RVevXlXp0qUVHBwsSTp79qzdfc6ePWvry4yXl5d8fX3tfgAAAAAAcDUuX7Sn8/HxUfHixXXx4kWtWrVKrVu3VlhYmIKDg7Vu3TrbdgkJCdqxY4fq1KnjxLQAAAAAANw9D2cHuJ1Vq1bJMAxVqFBBBw8e1Guvvabw8HB17dpVJpNJ/fv315gxY1SuXDmFhYVp+PDhCgkJUZs2bZwdHQAAAACAu+LyRXt8fLyGDRumkydPqkiRIoqMjNTYsWNVoEABSdLrr7+uy5cvq1evXoqLi1P9+vW1cuXKDDPOAwAAAACQ17j0Ou2OwjrtAAAAAABHyhfrtAMAAAAAcC+jaAcA4A6lpaVp+PDhCgsLk9lsVpkyZTR69GjdOIjNZDJl+vO///3PickBAEBe4fLXtAMA4KreffddTZ06VbNnz1blypW1c+dOde3aVX5+furbt68k6cyZM3b3WbFihbp3767IyEhnRAYAAHkMRTsAAHdo69atat26tVq2bClJKlWqlBYsWKBffvnFtk1wcLDdfb777js1atRIpUuXdmhWAACQNzE8HgCAO1S3bl2tW7dOBw4ckCT9+uuv2rx5s1q0aJHp9mfPntUPP/yg7t27OzImAADIwzjTDgDAHRo6dKgSEhIUHh4ud3d3paWlaezYserUqVOm28+ePVuFChXS008/7eCkAAAgr6JoBwDgDi1atEjz5s3T/PnzVblyZe3du1f9+/dXSEiIunTpkmH7L774Qp06dZK3t7cT0gIAgLyIoh0AgDv02muvaejQoerQoYMkKSIiQseOHdP48eMzFO0///yz9u/fr6+++soZUQEAQB7FNe0AANyhpKQkubnZ/1Pq7u4uq9WaYdsZM2aoZs2aqlq1qqPiAQCAfIAz7QAA3KFWrVpp7NixKlmypCpXrqw9e/Zo4sSJ6tatm912CQkJ+vrrrzVhwgQnJQUAAHkVRTsAAHfoww8/1PDhw/Xyyy/r3LlzCgkJ0Ysvvqi33nrLbruFCxfKMAx17NjRSUkBAEBeZTIMw3B2CGdLSEiQn5+f4uPj5evr6+w4AAAAAIB8Lqt1KGfaAQD4F8MwlJycrKSkpEz7rVar4uLi7no//v7+Ga6JT2exWGQ2m2Uyme56PwAAIO+iaAcA4F+Sk5MVERHh7BiKjo6WxWJxdgwA95C0tDSNHDlSc+fOVWxsrEJCQvTCCy/ov//9r+1LxBdeeEGzZ8+2u1+zZs20cuVKZ0QG8j2KdgAAAACSpHfffVdTp07V7NmzVblyZe3cuVNdu3aVn5+f+vbta9uuefPmmjlzpu22l5eXM+IC9wSKdgAA/sVsNis6OtolhscDgCNt3bpVrVu3VsuWLSVJpUqV0oIFC/TLL7/Ybefl5aXg4GBnRATuORTtAAD8i8lkksViueXQ9MDAQAcmAgDHqFu3rqZPn64DBw6ofPny+vXXX7V582ZNnDjRbruNGzcqMDBQhQsX1mOPPaYxY8aoaNGiTkoN5G8U7QAAAAAkSUOHDlVCQoLCw8Pl7u6utLQ0jR07Vp06dbJt07x5cz399NMKCwvToUOH9MYbb6hFixbatm2b3N3dnZgeyJ8o2gEAAABIkhYtWqR58+Zp/vz5qly5svbu3av+/fsrJCREXbp0kSR16NDBtn1ERISqVKmiMmXKaOPGjWrcuLGzogP5FkU7AAAAAEnSa6+9pqFDh9oK84iICB07dkzjx4+3Fe3/Vrp0aRUrVkwHDx6kaAdyQeaz3wAAAAC45yQlJWWYINPd3V1Wq/Wm9zl58qTOnz+v4sWL53Y84J7EmXYAAAAAkqRWrVpp7NixKlmypCpXrqw9e/Zo4sSJ6tatmyQpMTFRo0aNUmRkpIKDg3Xo0CG9/vrrKlu2rJo1a+bk9ED+ZDIMw3B2CGdLSEiQn5+f4uPj5evr6+w4AAAAgFNcunRJw4cP17fffqtz584pJCREHTt21FtvvSVPT08lJyerTZs22rNnj+Li4hQSEqKmTZtq9OjRCgoKcnZ8IE/Jah1K0S6KdgAAAORvhmEoOTlZSUlJmfZbrVbFxcXd9X78/f0zDK9PZ7FYZDabZTKZ7no/QH6Q1TqU4fEAAABAPpecnKyIiAhnx1B0dLQsFouzYwB5ChPRAQAAAADgojjTDgAAAORzZrNZ0dHRLjE8HkD2ULQDAAAA+ZzJZJLFYrnl0PTAwEAHJgKQVQyPBwAAAADARVG0AwAAAADgoijaAQAAAABwURTtAAAAAAC4KIp2AAAAAABcFEU7AAAAAAAuiqIdAAAAAAAXRdEOAAAAAICLomgHAAAAgHwoLS1Nw4cPV1hYmMxms8qUKaPRo0fLMAxJ0tWrVzVkyBBFRETIx8dHISEhev7553X69GknJ8eNPJwdAAAAAACQ8959911NnTpVs2fPVuXKlbVz50517dpVfn5+6tu3r5KSkrR7924NHz5cVatW1cWLF9WvXz899dRT2rlzp7Pj4/8zGelfs9zDEhIS5Ofnp/j4ePn6+jo7DgAAAADctSeffFJBQUGaMWOGrS0yMlJms1lz587N9D5RUVF66KGHdOzYMZUsWdJRUe9JWa1DGR4PAAAAAPlQ3bp1tW7dOh04cECS9Ouvv2rz5s1q0aLFTe8THx8vk8kkf39/B6XE7TA8HgAAAADyoaFDhyohIUHh4eFyd3dXWlqaxo4dq06dOmW6fUpKioYMGaKOHTsyAtmFULQDAAAAQD60aNEizZs3T/Pnz1flypW1d+9e9e/fXyEhIerSpYvdtlevXlX79u1lGIamTp3qpMTIDEU7AAAAAORDr732moYOHaoOHTpIkiIiInTs2DGNHz/ermhPL9iPHTum9evXc5bdxVC0AwAAAEA+lJSUJDc3+2nM3N3dZbVabbfTC/aYmBht2LBBRYsWdXRM3AZFOwAAAADkQ61atdLYsWNVsmRJVa5cWXv27NHEiRPVrVs3SdcL9meeeUa7d+/W8uXLlZaWptjYWElSkSJF5Onp6cz4+P9Y8k0s+QYAAAAg/7l06ZKGDx+ub7/9VufOnVNISIg6duyot956S56enjp69KjCwsIyve+GDRvUsGFDxwa+x2S1DqVoF0U7AAAAAMCxslqHMjweAAAAAPIQwzCUnJyspKSkTPutVqvi4uJyZF/+/v4ZrouXJIvFIrPZLJPJlCP7wc1RtAMAAABAHpKcnKyIiAhnx1B0dLQsFouzY+R7Gb8yAQAAAAAALoEz7QAAAACQh5jNZkVHR7vE8HjkPop2AAAAAMhDTCaTLBbLLYemBwYGOjARchPD4wEAAAAAcFEU7QAAAAAAuCiKdgAAAAAAXBRFOwAAAAAALoqiHQAAAAAAF0XRDgAAAACAi3Lpoj0tLU3Dhw9XWFiYzGazypQpo9GjR8swDNs2hmHorbfeUvHixWU2m9WkSRPFxMQ4MTUAAAAAADnDpYv2d999V1OnTtVHH32kP//8U++++67ee+89ffjhh7Zt3nvvPU2ZMkXTpk3Tjh075OPjo2bNmiklJcWJyQEAAAAAuHsm48bT1llw+fJlvfPOO1q3bp3OnTsnq9Vq13/48OEcC/fkk08qKChIM2bMsLVFRkbKbDZr7ty5MgxDISEhGjRokAYPHixJio+PV1BQkGbNmqUOHTpk+ripqalKTU213U5ISFCJEiUUHx8vX1/fHMsPAAAAAEBmEhIS5Ofnd9s61CO7D9yjRw9t2rRJnTt3VvHixWUyme4q6K3UrVtX06dP14EDB1S+fHn9+uuv2rx5syZOnChJOnLkiGJjY9WkSRPbffz8/FS7dm1t27btpkX7+PHjNWrUqFzLDQAAAABATsh20b5ixQr98MMPqlevXm7ksTN06FAlJCQoPDxc7u7uSktL09ixY9WpUydJUmxsrCQpKCjI7n5BQUG2vswMGzZMAwcOtN1OP9MOAAAAAIAryXbRXrhwYRUpUiQ3smSwaNEizZs3T/Pnz1flypW1d+9e9e/fXyEhIerSpcsdP66Xl5e8vLxyMCkAAAAAADkv2xPRjR49Wm+99ZaSkpJyI4+d1157TUOHDlWHDh0UERGhzp07a8CAARo/frwkKTg4WJJ09uxZu/udPXvW1gcAAAAAQF6VpTPt1atXt7t2/eDBgwoKClKpUqVUoEABu213796dY+GSkpLk5mb/vYK7u7tt8ruwsDAFBwdr3bp1qlatmqTrQ9137Nih3r1751gOAAAAAACcIUtFe5s2bXI5RuZatWqlsWPHqmTJkqpcubL27NmjiRMnqlu3bpIkk8mk/v37a8yYMSpXrpzCwsI0fPhwhYSEOC0zANxKqVKldOzYsQztL7/8sj7++GPFxsbqtdde05o1a3Tp0iVVqFBBb775piIjI52QFgAAAM6W7SXfHOnSpUsaPny4vv32W507d04hISHq2LGj3nrrLXl6ekqSDMPQiBEjNH36dMXFxal+/fr65JNPVL58+SzvJ6tT7QPA3fr777+VlpZmu71v3z49/vjj2rBhgxo2bKimTZsqLi5OH330kYoVK6b58+drxIgR2rlzp6pXr+7E5AAAAMhJWa1Ds120ly5dWlFRUSpatKhde1xcnGrUqJGj67Q7CkU7AGfp37+/li9frpiYGJlMJhUsWFBTp05V586dbdsULVpU7777rnr06OHEpAAAAMhJWa1Dsz0R3dGjR+3OEqVLTU3VyZMns/twAHDPunLliubOnatu3brZ5g2pW7euvvrqK124cEFWq1ULFy5USkqKGjZs6NywAAAAcIosL/m2bNky2/+vWrVKfn5+tttpaWlat26dwsLCcjYdAORjS5cuVVxcnF544QVb26JFi/Sf//xHRYsWlYeHhywWi7799luVLVvWeUEBAADgNFku2tMndjOZTBnWSC9QoIBKlSqlCRMm5Gg4AMjPZsyYoRYtWigkJMTWNnz4cMXFxWnt2rUqVqyYli5dqvbt2+vnn39WRESEE9MCAADAGbJ9TXtYWJiioqJUrFix3MrkcFzTDsDRjh07ptKlS2vJkiVq3bq1JOnQoUMqW7as9u3bp8qVK9u2bdKkicqWLatp06Y5Ky4AAAByWFbr0CyfaU935MiRuwoGAJBmzpypwMBAtWzZ0taWlJQkSXJzs59uxN3dXVar1aH5AAAA4BqyXbRPmTIl03aTySRvb2+VLVtWDRo0kLu7+12HA4D8yGq1aubMmerSpYs8PP7vz3B4eLjKli2rF198Ue+//76KFi2qpUuXas2aNVq+fLkTEwMA4HylSpXSsWPHMrS//PLL+vjjjyVJ27Zt05tvvqkdO3bI3d1d1apV06pVq2Q2mx0dF8gx2S7aJ02apL///ltJSUkqXLiwJOnixYuyWCwqWLCgzp07p9KlS2vDhg0qUaJEjgcGgLxu7dq1On78uLp162bXXqBAAf34448aOnSoWrVqpcTERJUtW1azZ8/WE0884aS0AAC4hqioKLtVrPbt26fHH39c7dq1k3S9YG/evLmGDRumDz/8UB4eHvr1118zjGAD8ppsX9O+YMECTZ8+XZ9//rnKlCkjSTp48KBefPFF9erVS/Xq1VOHDh0UHBysb775JldC5zSuaQdwtwzDUHJysm2I+79ZrVbFxcXd9X78/f1v+uHDYrHIbDbblo8DACA/69+/v5YvX66YmBiZTCY9/PDDevzxxzV69GhnRwOyJKt1aLaL9jJlymjx4sWqVq2aXfuePXsUGRmpw4cPa+vWrYqMjNSZM2fuKLyjUbQDuFtJSUkuMbt7dHS0LBaLs2MAAJCrrly5opCQEA0cOFBvvPGGzp07p6CgIE2ZMkULFizQoUOHFB4errFjx6p+/frOjgtkKqt1aLbHipw5c0bXrl3L0H7t2jXFxsZKkkJCQnTp0qXsPjQAAAAA3NbSpUsVFxenF154QZJ0+PBhSdLIkSPVs2dPrVy5UjVq1FDjxo0VExPjxKTA3cv2Ne2NGjXSiy++qM8//1zVq1eXdP0se+/evfXYY49Jun6mJywsLGeTAoALM5vNio6Odonh8QAA5HczZsxQixYtFBISIkm2VVZefPFFde3aVZJUvXp1rVu3Tl988YXGjx/vtKzA3cp20T5jxgx17txZNWvWVIECBSRdP8veuHFjzZgxQ5JUsGBBTZgwIWeTAoALM5lMslgstxyaHhgY6MBEAADkT8eOHdPatWu1ZMkSW1vx4sUlSZUqVbLbtmLFijp+/LhD8wE5LdtFe3BwsNasWaO//vpLBw4ckCRVqFBBFSpUsG3TqFGjnEsIAAAAAP/fzJkzFRgYqJYtW9raSpUqpZCQEO3fv99u2wMHDqhFixaOjgjkqGwX7enCw8MVHh6ek1kAAAAA4KasVqtmzpypLl26yMPj/0oZk8mk1157TSNGjFDVqlVVrVo1zZ49W3/99VeeWdEKuJlsF+1paWmaNWuW1q1bp3PnztmuH0m3fv36HAsHAAAAAOnWrl2r48ePq1u3bhn6+vfvr5SUFA0YMEAXLlxQ1apVtWbNGtsy1UBele0l31555RXNmjVLLVu2VPHixTOsBzxp0qQcDegILPkGAAAAOIdhGEpOTnaJyVz/XdsAuSmrdWi2z7QvXLhQixYt0hNPPHFXAQEAAAAgOTlZERERzo6h6OjoW04oCzhLttdp9/T0VNmyZXMjCwAAAAAAuEG2h8dPmDBBhw8f1kcffZRvho8wPB4AAABwDobH416Va8PjN2/erA0bNmjFihWqXLmyba32dDeulwgAAAAAt2IymWSxWG45ND0wMNCBiQDXku2i3d/fX23bts2NLAAAAAAA4AbZLtpnzpyZGzkAAAAAAMC/ZHsiOkm6du2a1q5dq08//VSXLl2SJJ0+fVqJiYk5Gg4AAAAAgHtZts+0Hzt2TM2bN9fx48eVmpqqxx9/XIUKFdK7776r1NRUTZs2LTdyAgAAAABwz8n2mfZ+/fqpVq1aunjxosxms629bdu2WrduXY6GAwAAAADgXpbtM+0///yztm7dKk9PT7v2UqVK6dSpUzkWDAAAAACAe122z7RbrValpaVlaD958qQKFSqUI6EAAAAAAMAdFO1NmzbV5MmTbbdNJpMSExM1YsQIPfHEEzmZDQAAAACAe5rJMAwjO3c4efKkmjVrJsMwFBMTo1q1aikmJkbFihXTTz/9pMDAwNzKmmsSEhLk5+en+Ph4+fr6OjsOAAAAACCfy2odmu2iXbq+5NtXX32lX3/9VYmJiapRo4Y6depkNzFdXkLRDgAAAABwpFwt2jNz+PBhvfTSS1q9enVOPJxDUbQDAAAAABwpq3Votq9pv5lLly6x5BsAAAAAADkox4p2AAAAAACQsyjaAQAAAABwURTtAAAAAAC4KI+sbli9enWZTKab9iclJeVIIAAAAAAAcF2Wi/Y2bdrkYgwAyDmlSpXSsWPHMrS//PLLGj16tEaMGKHVq1fr+PHjCggIUJs2bTR69Gj5+fk5IS0AAABwc1ku2keMGJGbOQAgx0RFRSktLc12e9++fXr88cfVrl07nT59WqdPn9b777+vSpUq6dixY3rppZd0+vRpffPNN05MDQAAAGSUY+u052Ws0w7kb/3799fy5csVExOT6WU+X3/9tZ577jldvnxZHh5Z/i4TAAAAuGMOX6cdAFzRlStXNHfuXHXr1u2m83Kk/6GkYAcAAICroWgHkK8tXbpUcXFxeuGFFzLt/+effzR69Gj16tXLscEAAACALKBoB5CvzZgxQy1atFBISEiGvoSEBLVs2VKVKlXSyJEjHR8OAAAALqdUqVIymUwZfvr06SNJmj59uho2bChfX1+ZTCbFxcXlah6KdgD51rFjx7R27Vr16NEjQ9+lS5fUvHlzFSpUSN9++60KFCjghIQAAABwNVFRUTpz5oztZ82aNZKkdu3aSbq+3Hnz5s31xhtvOCRPti/gnDJlSqbtJpNJ3t7eKlu2rBo0aCB3d/e7DgcAd2PmzJkKDAxUy5Yt7doTEhLUrFkzeXl5admyZfL29nZSQgAAALiagIAAu9vvvPOOypQpo0cffVTS9UmOJWnjxo0OyZPton3SpEn6+++/lZSUpMKFC0uSLl68KIvFooIFC+rcuXMqXbq0NmzYoBIlSuR4YADICqvVqpkzZ6pLly52E8wlJCSoadOmSkpK0ty5c5WQkKCEhARJ1/9A84UjAAAA0qVPajxw4MCbTmqc27I9PH7cuHF68MEHFRMTo/Pnz+v8+fM6cOCAateurQ8++EDHjx9XcHCwBgwYkBt5ASBL1q5dq+PHj6tbt2527bt379aOHTsUHR2tsmXLqnjx4rafEydOOCktAAAAXNHtJjV2hGyv016mTBktXrxY1apVs2vfs2ePIiMjdfjwYW3dulWRkZE6c+ZMTmbNNazTDuQNhmEoOTlZSUlJmfZbrdYcmQjE399fbm6Zf6dpsVhkNpud9k0rAAAAHKdZs2by9PTU999/n6Fv48aNatSokS5evCh/f/9sP3ZW69BsD48/c+aMrl27lqH92rVrio2NlSSFhITo0qVL2X1oALil5ORkRUREODuGoqOjZbFYnB0DAAAAuSh9UuMlS5Y4NUe2h8c3atRIL774ovbs2WNr27Nnj3r37q3HHntM0vUPtGFhYTmXEgAAAAAAB7rZpMaOlu0z7TNmzFDnzp1Vs2ZN2xJJ165dU+PGjTVjxgxJUsGCBTVhwoScTQrgnmc2mxUdHe0Sw+MBAACQf91sUmNJio2NVWxsrA4ePCjp+knrQoUKqWTJkipSpEiOZ8n2Ne3p/vrrLx04cECSVKFCBVWoUCFHgzkS17QDAAAAANKtXr1azZo10/79+1W+fHm7vpEjR2rUqFEZ7jNz5sxsTViX1Tr0jov2/ISiHQAAAADyN1eb1DjXJqJLS0vTrFmztG7dOp07d05Wq9Wuf/369dl9SAAAAOCecurUKQ0ZMkQrVqxQUlKSypYtq5kzZ6pWrVqSpLNnz2rIkCFavXq14uLi1KBBA3344YcqV66ck5MDeVdendQ420V7v379NGvWLLVs2VIPPPAAyx4BAAAA2XDx4kXVq1dPjRo10ooVKxQQEKCYmBgVLlxY0vWzgW3atFGBAgX03XffydfXVxMnTlSTJk30xx9/yMfHx8nPAIAjZXt4fLFixfTll1/qiSeeyK1MDsfweAAAADjK0KFDtWXLFv3888+Z9h84cEAVKlTQvn37VLlyZUnXh+0GBwdr3Lhx6tGjhyPjAvnGPTM83tPTU2XLls3u3QAAAABIWrZsmZo1a6Z27dpp06ZNuu+++/Tyyy+rZ8+ekqTU1FRJkre3t+0+bm5u8vLy0ubNmynagTtkMplksVhuOTQ9MDDQgYmyJtvrtA8aNEgffPCBmL8OAAAAyL7Dhw9r6tSpKleunFatWqXevXurb9++mj17tiQpPDxcJUuW1LBhw3Tx4kVduXJF7777rk6ePKkzZ844OT0AR8v28Pi2bdtqw4YNKlKkiCpXrmxbqz3dkiVLcjRgqVKldOzYsQztL7/8sj7++GOlpKRo0KBBWrhwoVJTU9WsWTN98sknCgoKyvI+GB4PAAAAR/H09FStWrW0detWW1vfvn0VFRWlbdu2SZJ27dql7t2769dff5W7u7uaNGkiNzc3GYahFStWOCs6gByUa8Pj/f391bZt27sKlx1RUVFKS0uz3d63b58ef/xxtWvXTpI0YMAA/fDDD/r666/l5+enV155RU8//bS2bNnisIwAAABAVhUvXlyVKlWya6tYsaIWL15su12zZk3t3btX8fHxunLligICAlS7dm3b7PIA7h3ZLtpnzpyZGzluKiAgwO72O++8ozJlyujRRx9VfHy8ZsyYofnz5+uxxx6z5atYsaK2b9+uhx9+2KFZAQAAgNupV6+e9u/fb9d24MABhYaGZtjWz89PkhQTE6OdO3dq9OjRDskIwHVk+5p2Z7py5Yrmzp2rbt26yWQyadeuXbp69aqaNGli2yb9GqD0oUWZSU1NVUJCgt0PAAAA4AgDBgzQ9u3bNW7cOB08eFDz58/X9OnT1adPH9s2X3/9tTZu3KjDhw/ru+++0+OPP642bdqoadOmTkwOwBmydKa9Ro0aWrdunQoXLqzq1avfcm323bt351i4f1u6dKni4uL0wgsvSJJiY2Pl6ekpf39/u+2CgoIUGxt708cZP368Ro0alWs5AQAAgJt58MEH9e2332rYsGF6++23FRYWpsmTJ6tTp062bc6cOaOBAwfq7NmzKl68uJ5//nkNHz7ciakBOEuWivbWrVvLy8tLktSmTZvczHNLM2bMUIsWLRQSEnJXjzNs2DANHDjQdjshIUElSpS423gAAAC4h2VnDejy5cvbXcMuXR8in6558+Zq3ry5Xf/Ro0dt/3+zdaBvXAMaQP6QpaJ9xIgRkqS0tDQ1atRIVapUyXB2O7cdO3ZMa9eutZudPjg4WFeuXFFcXJxdnrNnzyo4OPimj+Xl5WX7EgIAAADICcnJyYqIiHB2DEVHR99yHWoAeUu2rml3d3dX06ZNdfHixdzKc1MzZ85UYGCgWrZsaWurWbOmChQooHXr1tna9u/fr+PHj6tOnToOzwgAAAAAQE7K9uzxDzzwgA4fPqywsLDcyJMpq9WqmTNnqkuXLvLw+L/Ifn5+6t69uwYOHKgiRYrI19dXr776qurUqcPM8QAAAHAos9ms6OjoLA2Pv1u3Gx4PIP/IdtE+ZswYDR48WKNHj1bNmjXl4+Nj13+rReHv1Nq1a3X8+HF169YtQ9+kSZPk5uamyMhIpaamqlmzZvrkk09yPAMAAABwKyaTSRaL5ZZD0wMDAx2YCEB+YDIMw8jOHW78Ru/GCS4Mw5DJZFJaWlrOpXOQhIQE+fn5KT4+Ple+dAAAAAAA4EZZrUOzfaZ9w4YNdxUMAAAAAABkTbaL9rCwMJUoUSLDMhKGYejEiRM5FgwAAAAAgHtdtmaPl64X7X///XeG9gsXLjh0cjoAAAAAAPK7bBft6deu/1tiYqK8vb1zJBQAAAAAAMjG8PiBAwdKuj753PDhw+1mxUxLS9OOHTtUrVq1HA8IAAAAAMC9KstF+549eyRdP9MeHR0tT09PW5+np6eqVq2qwYMH53xCAAAAAADuUVku2tNnje/atas++OADlkYDAAB35NSpUxoyZIhWrFihpKQklS1bVjNnzlStWrVs2/z5558aMmSINm3apGvXrqlSpUpavHixSpYs6cTkAAA4XrZnj585c6bd7WPHjuny5csKDw+3W8MdAADg3y5evKh69eqpUaNGWrFihQICAhQTE6PChQvbtjl06JDq16+v7t27a9SoUfL19dXvv//O3DkAgHuSyTAMIysbfvHFF4qLi7Nd2y5JvXr10owZMyRJFSpU0KpVq1SiRIncSZqLsrqoPQAAuDtDhw7Vli1b9PPPP990mw4dOqhAgQKaM2eOA5MBAOBYWa1Ds3xqfPr06Xbfgq9cuVIzZ87Ul19+qaioKPn7+2vUqFF3lxoAAORry5YtU61atdSuXTsFBgaqevXq+uyzz2z9VqtVP/zwg8qXL69mzZopMDBQtWvX1tKlS50XGgAAJ8py0R4TE2N3rdl3332n1q1bq1OnTqpRo4bGjRundevW5UpIAACQPxw+fFhTp05VuXLltGrVKvXu3Vt9+/bV7NmzJUnnzp1TYmKi3nnnHTVv3lyrV69W27Zt9fTTT2vTpk1OTg8AgONl+Zr25ORku1P2W7duVffu3W23S5curdjY2JxNBwAA8hWr1apatWpp3LhxkqTq1atr3759mjZtmrp06SKr1SpJat26tQYMGCBJqlatmrZu3app06bp0UcfdVp2AACcIctn2kNDQ7Vr1y5J0j///KPff/9d9erVs/XHxsbKz88v5xMCAIB8o3jx4qpUqZJdW8WKFXX8+HFJUrFixeTh4XHLbQAAuJdk+Ux7ly5d1KdPH/3+++9av369wsPDVbNmTVv/1q1b9cADD+RKSAAAkD/Uq1dP+/fvt2s7cOCAQkNDJUmenp568MEHb7kNAAD3kiwX7a+//rqSkpK0ZMkSBQcH6+uvv7br37Jlizp27JjjAQEAQP4xYMAA1a1bV+PGjVP79u31yy+/aPr06Zo+fbptm9dee03/+c9/1KBBAzVq1EgrV67U999/r40bNzovOAAATpLlJd/yM5Z8AwDAcZYvX65hw4YpJiZGYWFhGjhwoHr27Gm3zRdffKHx48fr5MmTqlChgkaNGqXWrVs7KTEAADkvq3UoRbso2gEAyAmGYSg5OVlJSUkZ+qxWq+Li4nJkP/7+/nJzy3xaHovFIrPZLJPJlCP7AgAgt2S1Ds3y8HgAAIBbSU5OVkREhLNjKDo6WhaLxdkxAADIEVmePR4AAAAAADgWZ9oBAECOMJvNio6Odonh8QAA5BcU7QAAIEeYTCZZLJabDk0PDAx0cCIAAPK+bBftaWlpmjVrltatW6dz587JarXa9a9fvz7HwgEAAAAAcC/LdtHer18/zZo1Sy1bttQDDzzA7KwAAAAAAOSSbBftCxcu1KJFi/TEE0/kRh4AAAAAAPD/ZXv2eE9PT5UtWzY3sgAAAAAAgBtku2gfNGiQPvjgAxmGkRt5AAAAAADA/5ft4fGbN2/Whg0btGLFClWuXFkFChSw61+yZEmOhQMAAAAA4F6W7aLd399fbdu2zY0sAAAAAADgBtku2mfOnJkbOQAAAAAAwL9k+5p2AAAAAADu1qlTp/Tcc8+paNGiMpvNioiI0M6dO239I0eOVHh4uHx8fFS4cGE1adJEO3bscGJi58j2mXZJ+uabb7Ro0SIdP35cV65csevbvXt3jgQDAAAAAORPFy9eVL169dSoUSOtWLFCAQEBiomJUeHChW3blC9fXh999JFKly6t5ORkTZo0SU2bNtXBgwcVEBDgxPSOle0z7VOmTFHXrl0VFBSkPXv26KGHHlLRokV1+PBhtWjRIjcyAgAAAADykXfffVclSpTQzJkz9dBDDyksLExNmzZVmTJlbNs8++yzatKkiUqXLq3KlStr4sSJSkhI0G+//ebE5I6X7aL9k08+0fTp0/Xhhx/K09NTr7/+utasWaO+ffsqPj4+NzICAAAAAPKRZcuWqVatWmrXrp0CAwNVvXp1ffbZZzfd/sqVK5o+fbr8/PxUtWpVByZ1vmwX7cePH1fdunUlSWazWZcuXZIkde7cWQsWLMjZdAAAAACAfOfw4cOaOnWqypUrp1WrVql3797q27evZs+ebbfd8uXLVbBgQXl7e2vSpElas2aNihUr5qTUzpHtoj04OFgXLlyQJJUsWVLbt2+XJB05ckSGYeRsOgAAALi0W00kdfXqVQ0ZMkQRERHy8fFRSEiInn/+eZ0+fdrJqQE4m9VqVY0aNTRu3DhVr15dvXr1Us+ePTVt2jS77Ro1aqS9e/dq69atat68udq3b69z5845KbVzZLtof+yxx7Rs2TJJUteuXTVgwAA9/vjj+s9//sP67QAAAPeQ9ImkChQooBUrVuiPP/7QhAkTbBNJJSUlaffu3Ro+fLh2796tJUuWaP/+/XrqqaecnBzIWXx5lX3FixdXpUqV7NoqVqyo48eP27X5+PiobNmyevjhhzVjxgx5eHhoxowZjozqdNmePX769OmyWq2SpD59+qho0aLaunWrnnrqKb344os5HhAAAACu6caJpNKFhYXZ/t/Pz09r1qyxu89HH32khx56SMePH1fJkiUdlhXILbebBf3GL6+qVq2qixcvql+/fnrqqafslje719SrV0/79++3aztw4IBCQ0NveT+r1arU1NTcjOZyTAZj2pWQkCA/Pz/Fx8fL19fX2XEAAADyhEqVKqlZs2Y6efKkNm3apPvuu08vv/yyevbsedP7rF27Vk2bNlVcXByfu5AvDB06VFu2bNHPP/+c5ftERUXpoYce0rFjx+7ZL6+ioqJUt25djRo1Su3bt9cvv/yinj17avr06erUqZMuX76ssWPH6qmnnlLx4sX1zz//6OOPP9b8+fO1a9cuVa5c2dlP4a5ltQ7N9vB4Sfr555/13HPPqU6dOjp16pQkac6cOdq8efOdpQUAAECek9WJpNKlpKRoyJAh6tixIwU78o3szoIuSfHx8TKZTPL393dMSBf04IMP6ttvv9WCBQv0wAMPaPTo0Zo8ebI6deokSXJ3d9dff/2lyMhIlS9fXq1atdL58+f1888/54uCPTuyfaZ98eLF6ty5szp16qQ5c+bojz/+UOnSpfXRRx/pxx9/1I8//phbWXMNZ9oBAACyz9PTU7Vq1dLWrVttbX379lVUVJS2bdtmt+3Vq1cVGRmpkydPauPGjXzmQr7h7e0tSRo4cKDatWunqKgo9evXT9OmTVOXLl0ybJ+SkqJ69eopPDxc8+bNc3TcXGcYhpKTk5WUlJRpv9VqVVxc3F3vx9/fX25umZ+DtlgsMpvNMplMd72f3JTVOjTb17SPGTNG06ZN0/PPP6+FCxfa2uvVq6cxY8bcWVoAAADkOTebSGrx4sV2bVevXlX79u117NgxrV+/noId+YrValWtWrU0btw4SVL16tW1b9++TIv29PeCYRiaOnWqM+LmuuTkZEVERDg7hqKjo2WxWJwdI0dke3j8/v371aBBgwztfn5+OfKNCQAAAPKGrEwklV6kxMTEaO3atSpatKijYwK5KquzoN/45dWaNWv48gpZlu0z7cHBwTp48KBKlSpl175582aVLl06p3IBAADAxQ0YMEB169bVuHHjbBNJTZ8+XdOnT5d0vUh55plntHv3bi1fvlxpaWmKjY2VJBUpUkSenp7OjA/kiOx+ebVhw4Z8/eWV2WxWdHS0SwyPzy+yXbT37NlT/fr10xdffCGTyaTTp09r27ZtGjx4sIYPH54bGQEAAOCC0ieSGjZsmN5++22FhYXZTSR16tQpLVu2TJJUrVo1u/tu2LBBDRs2dHBiIOfx5ZU9k8kki8Vyy6HpgYGBDkyU92V7IjrDMDRu3DiNHz/e9u2Jl5eXBg8erNGjR+dKyNzGRHQAAAD2mEwKyLrly5dr2LBhiomJUVhYmAYOHGhb+vDo0aMKCwvL9H58eXVvy2odesfrtF+5ckUHDx5UYmKiKlWqpIIFC95xWGejaAcAALCXlJTEZFIAkItybfb4dJ6enhkmXAAAAACA/OJWI05yarSJxIgT3FqWi/Zu3bplabsvvvjijsMAAADANTCZFMDyZXANWS7aZ82apdDQUFWvXl13OKIeAAAAeQSTSQGAa8hy0d67d28tWLBAR44cUdeuXfXcc8+pSJEiuZkNAAAAAJzmViNOHD08HveubE1El5qaqiVLluiLL77Q1q1b1bJlS3Xv3l1NmzbN09dYMBEdAACQri9RNmTIEK1YsUJJSUkqW7asZs6cqVq1akm6fn3riBEj9NlnnykuLk716tXT1KlTVa5cOScnBwDkNVmtQzP/OucmvLy81LFjR61Zs0Z//PGHKleurJdfflmlSpVSYmLiXYcGAABwlosXL6pevXoqUKCAVqxYoT/++EMTJkxQ4cKFbdu89957mjJliqZNm6YdO3bIx8dHzZo1U0pKihOTAwDyszuePd7NzU0mk0mGYSgtLS0nMwEAADjcu+++qxIlSmjmzJm2thvXVjYMQ5MnT9Z///tftW7dWpL05ZdfKigoSEuXLlWHDh0cnhkAkP9l60x7amqqFixYoMcff1zly5dXdHS0PvroIx0/fjxPr9MOAACwbNky1apVS+3atVNgYKCqV6+uzz77zNZ/5MgRxcbGqkmTJrY2Pz8/1a5dW9u2bXNGZADAPSDLZ9pffvllLVy4UCVKlFC3bt20YMECFStWLDezAQAAOMzhw4c1depUDRw4UG+88YaioqLUt29feXp6qkuXLoqNjZUkBQUF2d0vKCjI1gcAQE7LctE+bdo0lSxZUqVLl9amTZu0adOmTLdbsmRJjoUDAABwFKvVqlq1amncuHGSpOrVq2vfvn2aNm2aunTp4uR0AIB7VZaL9ueffz5PzxAPAABwK8WLF1elSpXs2ipWrKjFixdLkoKDgyVJZ8+eVfHixW3bnD17VtWqVXNYTgDAvSXLRfusWbNyMcbNsfQKAABwhHr16mn//v12bQcOHFBoaKik65PSBQcHa926dbYiPSEhQTt27FDv3r0dHRcAcI/I1kR0jsbSKwAAwFEGDBig7du3a9y4cTp48KDmz5+v6dOnq0+fPpIkk8mk/v37a8yYMVq2bJmio6P1/PPPKyQkRG3atHFueABAvmUyDMNwdoibGTp0qLZs2aKff/45037DMBQSEqJBgwZp8ODBkqT4+HgFBQVp1qxZWV56JauL2gMAgPxt+fLlGjZsmGJiYhQWFqaBAweqZ8+etv70EX7Tp09XXFyc6tevr08++UTly5d3YmoAQF6U1TrUpYv2SpUqqVmzZjp58qQ2bdqk++67Ty+//LLtH8/Dhw+rTJky2rNnj921ZI8++qiqVaumDz74INPHTU1NVWpqqu12QkKCSpQoQdEOAEA+ZBiGkpOTlZSUlGm/1WpVXFxcjuzL399fbm4ZBzJaLBaZzWbmBwIA2GS1aM/yNe3OkFtLr4wfP16jRo3K1ewAAMA1JCcnKyIiwtkxFB0dLYvF4uwYAIA8xqWvabdarapRo4bGjRun6tWrq1evXurZs6emTZt2V487bNgwxcfH235OnDiRQ4kBAAAAAMg5Ln2mPbeWXvHy8pKXl1fOBwYAAC7HbDYrOjraJYbHAwCQXS5dtLP0CgAAuFsmk0kWi+WWQ9MDAwMdmAgAgKxz6aJ9wIABqlu3rsaNG6f27dvrl19+0fTp0zV9+nRJ9kuvlCtXTmFhYRo+fDhLrwAAAAAA8gWXLtoffPBBffvttxo2bJjefvtthYWFafLkyerUqZNtm9dff12XL19Wr169bEuvrFy5Ut7e3k5MDgAAAADA3XPpJd8chXXaAQAAAACOlNU61KVnjwcAAAAA4F5G0Q4AAAAAgIuiaAcAAAAAwEVRtAMAAAAA4KIo2gEAAAAAcFEU7QAAAAAAuCiKdgAAAAAAXBRFOwAAAAAALoqiHQAAAAAAF0XRDgAAAACAi6JoBwAAAADARVG0AwAAAADgoijaAQAAAABwURTtAAAAAAC4KIp2AAAAAABcFEU7AAAAAAAuiqIdAAAAAAAXRdEOAACAfGfkyJEymUx2P+Hh4bb+hg0bZuh/6aWXnJgYADLn4ewAAAAAQG6oXLmy1q5da7vt4WH/0bdnz556++23bbctFovDsgFAVlG0AwAAIF/y8PBQcHDwTfstFsst+wHAFTA8HgAAAPlSTEyMQkJCVLp0aXXq1EnHjx+36583b56KFSumBx54QMOGDVNSUpKTkgLAzXGmHQAAAPlO7dq1NWvWLFWoUEFnzpzRqFGj9Mgjj2jfvn0qVKiQnn32WYWGhiokJES//fabhgwZov3792vJkiXOjg4AdkyGYRjODuFsCQkJ8vPzU3x8vHx9fZ0dBwAAADksLi5OoaGhmjhxorp3756hf/369WrcuLEOHjyoMmXKOCEhgHtNVutQhscDAG47y3I6wzDUokULmUwmLV261PFBAeAO+fv7q3z58jp48GCm/bVr15akm/YDgLNQtN8BPtwCyI8qV66sM2fO2H42b96cYZvJkyfLZDI5IR0A3J3ExEQdOnRIxYsXz7R/7969knTTfgBwFq5pv0O3W0JE4sMtgLzldrMs7927VxMmTNDOnTv5UAvA5Q0ePFitWrVSaGioTp8+rREjRsjd3V0dO3bUoUOHNH/+fD3xxBMqWrSofvvtNw0YMEANGjRQlSpVnB0dAOxQtN8hPtwCyG/SZ1n29vZWnTp1NH78eJUsWVKSlJSUpGeffVYff/wxyyMByBNOnjypjh076vz58woICFD9+vW1fft2BQQEKCUlRWvXrtXkyZN1+fJllShRQpGRkfrvf//r7NgAkAFF+x3iwy2A/OR2sywPGDBAdevWVevWrZ0dFQBkGIaSk5MzXaLNarUqLi5Ob7/9doa+tLQ0HThwQJL02WefZeiPjY1VbGys7ba/v7/c3DK/mtRischsNjOqEkCuo2i/A3y4BZDftGjRwvb/VapUUe3atRUaGqpFixYpICBA69ev1549e5yYEAD+T3JysiIiIpwdQ9HR0bJYLM6OASCfo2i/A3y4BZDf3TjLcnR0tA4dOiR/f3+7bSIjI/XII49o48aNTskIAABwL6BozwF8uAWQ36TPsty5c2e1b99ePXr0sOuPiIjQpEmT1KpVKyclBHAvM5vNio6OvuXw+JyQleHxAJDbKNpzAB9uAeR1t5plOSAgINP5OUqWLKmwsDAnpAVwrzOZTLJYLDcdmh4YGOjgRACQeyja7wAfbgHkN7eaZRkAAADOQ9F+B/hwCyAvyYlZlv9t//79kmTXzyzLAAAAOc9kGIbh7BDOlpCQID8/P8XHx6tQoUK3/XCbE/hwC8BRkpKSmGUZAADAxdxYh/r6+t50O860/wtLiAAAAAAAXAVFOwDkc8yyDAAAkHdRtP8LH24B5DfMsgwAAJB3UbT/Cx9uAQAAAACuIvNTvQAAAAAAwOko2gEAAAAAcFEU7QAAAAAAuCiKdgAAAAAAXBRFOwAAAAAALoqiHQAAAAAAF0XRns+MHDlSJpPJ7ic8PNzWP336dDVs2FC+vr4ymUw5tu48AAAAACDnUbTnQ5UrV9aZM2dsP5s3b7b1JSUlqXnz5nrjjTecmBAAAAAAkBUU7fmQh4eHgoODbT/FihWz9fXv319Dhw7Vww8/7MSErud2IxRSUlLUp08fFS1aVAULFlRkZKTOnj3rxMQAAAAA7gUU7flQTEyMQkJCVLp0aXXq1EnHjx93dqQ84VYjFAYMGKDvv/9eX3/9tTZt2qTTp0/r6aefdmJaAAAAAPcCD2cHQM6qXbu2Zs2apQoVKujMmTMaNWqUHnnkEe3bt0+FChVydjyXlj5C4d/i4+M1Y8YMzZ8/X4899pgkaebMmapYsaK2b9/OqAUAAAAAuYYz7flMixYt1K5dO1WpUkXNmjXTjz/+qLi4OC1atMjZ0VzezUYo7Nq1S1evXlWTJk1s24aHh6tkyZLatm2bs+ICAAAAuAdQtOdz/v7+Kl++vA4ePOjsKC4tfYTCypUrNXXqVB05ckSPPPKILl26pNjYWHl6esrf39/uPkFBQYqNjXVOYAAAAAD3BIbH53OJiYk6dOiQOnfu7OwoLq1Fixa2/69SpYpq166t0NBQLVq0SGaz2YnJAAAAANzLONOezwwePFibNm3S0aNHtXXrVrVt21bu7u7q2LGjJCk2NlZ79+61nXmPjo7W3r17deHCBWfGdjk3jlAIDg7WlStXMqxpf/bs2UyvgQcAAACAnELRns+cPHlSHTt2VIUKFdS+fXsVLVpU27dvV0BAgCRp2rRpql69unr27ClJatCggapXr65ly5Y5M7bLSR+hULx4cdWsWVMFChTQunXrbP379+/X8ePHVadOHSemBAAAAJDfmQzDMJwdwtkSEhLk5+en+Ph4+fr6OjtOpgzDUHJyspKSkjLtt1qtGc4E3yl/f3+5uWX8PsdischsNstkMuXIflzJ4MGD1apVK4WGhur06dMaMWKE9u7dqz/++EMBAQHq3bu3fvzxR82aNUu+vr569dVXJUlbt251cnLg3vPOO+9o2LBh6tevnyZPnixJOnTokAYPHqzNmzcrNTVVzZs314cffqigoCDnhgUAALiJrNahXNOeRyQnJysiIsLZMRQdHS2LxeLsGDkufYTC+fPnFRAQoPr169uNUJg0aZLc3NwUGRmp1NRUNWvWTJ988omTUwP3nqioKH366aeqUqWKre3y5ctq2rSpqlatqvXr10uShg8frlatWmn79u2ZfgkJAACQV3CmXXnjTHtSUhJF+x1w1AiFm41OkPL3CAXAkRITE1WjRg198sknGjNmjKpVq6bJkydr9erVatGihS5evGj7Gx4fH6/ChQtr9erVdss1AgAAuIp8caZ95MiRGjVqlF1bhQoV9Ndff0mSUlJSNGjQIC1cuNDu7Gd+HA5pNpsVHR3tEsPj8xJGKAD5R58+fdSyZUs1adJEY8aMsbWnpqbKZDLJy8vL1ubt7S03Nzdt3ryZoh0AAORpLl20S1LlypW1du1a220Pj/+LPGDAAP3www/6+uuv5efnp1deeUVPP/20tmzZ4oyoucpkMslisdyy8AsMDHRgIgBwnIULF2r37t2KiorK0Pfwww/Lx8dHQ4YM0bhx42QYhoYOHaq0tDSdOXPGCWkBAAByjssX7R4eHpkuqxUfH68ZM2Zo/vz5euyxxyRJM2fOVMWKFbV9+3Y9/PDDjo4KF+SoEQpZGR4P4M6cOHFC/fr105o1a+Tt7Z2hPyAgQF9//bV69+6tKVOmyM3NTR07dlSNGjW4nh0AAOR5Ll+0x8TEKCQkRN7e3qpTp47Gjx+vkiVLateuXbp69ardsMfw8HCVLFlS27Ztu2XRnpqaqtTUVNvthISEXH0OcB5GKAB5365du3Tu3DnVqFHD1paWlqaffvpJH330kVJTU9W0aVMdOnRI//zzjzw8POTv76/g4GCVLl3aickBAADunksX7bVr19asWbNUoUIFnTlzRqNGjdIjjzyiffv2KTY2Vp6envL397e7T1BQkGJjY2/5uOPHj89wrTwAwDU1btxY0dHRdm1du3ZVeHi4hgwZInd3d1t7sWLFJEnr16/XuXPn9NRTTzk0KwAAQE5z6aK9RYsWtv+vUqWKateurdDQUC1atOiuhhsPGzZMAwcOtN1OSEhQiRIl7iorACB3FCpUSA888IBdm4+Pj4oWLWprT788KiAgQNu2bVO/fv00YMAAVahQwRmRAQAAcoxLF+3/5u/vr/Lly+vgwYN6/PHHdeXKFcXFxdmdbT979mym18DfyMvLy26WYQBA3rZ//34NGzZMFy5cUKlSpfTmm29qwIABzo4FAABw1/LUOu2JiYkqWbKkRo4cqS5duiggIEALFixQZGSkpOsf2sLDw297Tfu/5YV12gEAAAAA+Ue+WKd98ODBatWqlUJDQ3X69GmNGDFC7u7u6tixo/z8/NS9e3cNHDhQRYoUka+vr1599VXVqVOHmeMBIA8wDEPJycm5vrqDdPMVHtJXdzCZTDmyHwAAgJzm0kX7yZMn1bFjR50/f14BAQGqX7++tm/froCAAEnSpEmT5ObmpsjISKWmpqpZs2b65JNPnJwaAJAVycnJioiIcHYMRUdH33KFCQAAAGfKU8PjcwvD4wHA8ZKSkijaAQDAPStfDI8HAORfZrNZ0dHRLjE8HgAAwFVRtAMAnMJkMslisdzyLHdgYKADEwEAALiejKcdAAAA4LLeeecdmUwm9e/fX5J09OhRmUymTH++/vpr54YFANw1inYAAIA8IioqSp9++qmqVKliaytRooTOnDlj9zNq1CgVLFhQLVq0cGJaAEBOoGgHAADIAxITE9WpUyd99tlnKly4sK3d3d1dwcHBdj/ffvut2rdvr4IFCzoxMQAgJ1C0AwAA5AF9+vRRy5Yt1aRJk1tut2vXLu3du1fdu3d3UDIAQG5iIjoAAAAXt3DhQu3evVtRUVG33XbGjBmqWLGi6tat64BkAIDcxpl2AAAAF3bixAn169dP8+bNk7e39y23TU5O1vz58znLDgD5CGfaAQAAXNiuXbt07tw51ahRw9aWlpamn376SR999JFSU1Pl7u4uSfrmm2+UlJSk559/3llxAQA5jKIdAADAhTVu3FjR0dF2bV27dlV4eLiGDBliK9il60Pjn3rqKQUEBDg6JgAgl1C0AwAAuLBChQrpgQcesGvz8fFR0aJF7doPHjyon376ST/++KOjIwIAchHXtAMAAOQDX3zxhe6//341bdrU2VEAADnIZBiG4ewQzpaQkCA/Pz/Fx8fL19fX2XEAAMA9wjAMJScnKykpKdN+q9WquLi4u96Pv7+/3NwyP1djsVhkNptlMpnuej8AgKzLah3K8HgAAAAnSU5OVkREhLNjKDo6WhaLxdkxAACZYHg8AAAAAAAuijPtAAAATmI2mxUdHe0Sw+MBAK6Joh0AAMBJTCaTLBbLLYemBwYGOjARAMDVMDweAAAAAAAXRdEOAEA+984778hkMql///4Z+gzDUIsWLWQymbR06VKHZwMAALdG0Q4AQD4WFRWlTz/9VFWqVMm0f/LkySz1BQCAC6NoBwAgn0pMTFSnTp302WefqXDhwhn69+7dqwkTJuiLL75wQjoAAJAVFO0AAORTffr0UcuWLdWkSZMMfUlJSXr22Wf18ccfKzg42AnpAABAVjB7PAAA+dDChQu1e/duRUVFZdo/YMAA1a1bV61bt3ZwMgAAkB0U7QAA5DMnTpxQv379tGbNGnl7e2foX7ZsmdavX689e/Y4IR0AAMgOhscDAJDP7Nq1S+fOnVONGjXk4eEhDw8Pbdq0SVOmTJGHh4fWrFmjQ4cOyd/f39YvSZGRkWrYsKFzwwMAADsmwzAMZ4dwtoSEBPn5+Sk+Pl6+vr7OjgMAwF25dOmSjh07ZtfWtWtXhYeHa8iQISpWrJj++ecfu/6IiAh98MEHatWqlcLCwhwZFwCAe1JW61CGxwMAkM8UKlRIDzzwgF2bj4+PihYtamvPbPK5kiVLUrADAOBiGB4PAAAAAICLYni8GB4PAMg7DMNQcnKykpKSMu23Wq2Ki4u76/34+/vLzS3z7/YtFovMZrNMJtNd7wcAgHsVw+MBAMiHkpOTFRER4ewYio6OlsVicXYMAADyPYbHAwAAAADgojjTDgBAHmI2mxUdHe0Sw+MBAEDuo2gHACAPMZlMslgstxyaHhgY6MBEAAAgNzE8HgAAAAAAF0XRDgAAAACAi6JoBwAAAADARVG0AwAAAADgoijaAQAAAABwURTtAAAAAAC4KIp2AAAAAABcFEU7AAAAAAAuiqIdAAAAAAAXRdEOAAAAAICLomgHAAAAAMBFUbQDAAAAAOCiKNoBAAAAAHBRFO0AAAAAALgoinYAAAAAAFwURTsAAAAAAC6Koh1AjnjnnXdkMpnUv39/W1tKSor69OmjokWLqmDBgoqMjNTZs2edFxIAAADIYyjaAdy1qKgoffrpp6pSpYpd+4ABA/T999/r66+/1qZNm3T69Gk9/fTTTkoJAAAA5D0U7QDuSmJiojp16qTPPvtMhQsXtrXHx8drxowZmjhxoh577DHVrFlTM2fO1NatW7V9+3YnJgYAAADyDop2AHelT58+atmypZo0aWLXvmvXLl29etWuPTw8XCVLltS2bdscHRMAAADIkzycHQBA3rVw4ULt3r1bUVFRGfpiY2Pl6ekpf39/u/agoCDFxsY6KCEAAACQt1G0A7gjJ06cUL9+/bRmzRp5e3s7Ow4AAACQLzE8HsAd2bVrl86dO6caNWrIw8NDHh4e2rRpk6ZMmSIPDw8FBQXpypUriouLs7vf2bNnFRwc7JzQAAAAQB7DmXYAd6Rx48aKjo62a+vatavCw8M1ZMgQlShRQgUKFNC6desUGRkpSdq/f7+OHz+uOnXqOCMyAAAAkOfkqTPtrAMNuI5ChQrpgQcesPvx8fFR0aJF9cADD8jPz0/du3fXwIEDtWHDBu3atUtdu3ZVnTp19PDDDzs7PgAAAJAn5JminXWggbxn0qRJevLJJxUZGakGDRooODhYS5YscXYsAAAAIM8wGYZhODvE7SQmJqpGjRr65JNPNGbMGFWrVk2TJ09WfHy8AgICNH/+fD3zzDOSpL/++ksVK1bUtm3bsnw2LyEhQX5+foqPj5evr29uPhUAAAAAALJch+aJa9pvXAd6zJgxtvbbrQN9s6I9NTVVqampttsJCQm5Fx7IYwzDUHJyspKSkjLtt1qtGSaXu1P+/v5yc8s44MdischsNstkMuXIfgAAAIC8yuWL9txYB3r8+PEaNWpUTkcF8oXk5GRFREQ4O4aio6NlsVicHQMAAABwKpe+pj19Heh58+bl6DrQw4YNU3x8vO3nxIkTOfbYAAAAAADkFJc+037jOtDp0tLS9NNPP+mjjz7SqlWrbOtA33i2/XbrQHt5ecnLyys3owN5ltlsVnR0tEsMjwcAAADudS5dtLMONOB4JpNJFovllkPTAwMDHZgIAAAAuHe5dNGevg70jW5cB1qSbR3oIkWKyNfXV6+++irrQAMAAAAA8gWXLtqzYtKkSXJzc1NkZKRSU1PVrFkzffLJJ86OBQAAAADAXcsT67TnNtZpBwAAAAA4UlbrUJeePR4AAAAAgHsZRTsAAAAAAC6Koh0AAAAAABdF0Q4AAAAAgIuiaAcAAAAAwEVRtAMAAAAA4KIo2gEAAAAAcFEU7QAAAAAAuCiKdgAAAAAAXBRFOwAAAAAALoqiHQAAAAAAF0XRDgAAAACAi6JoBwAAAADARVG0AwAAAADgojycHcAVGIYhSUpISHByEgAAAADAvSC9/kyvR2+Gol3SpUuXJEklSpRwchIAAAAAwL3k0qVL8vPzu2m/ybhdWX8PsFqtOn36tAoVKiSTyXRXj5WQkKASJUroxIkT8vX1zaGEOYNs2eequSSy3SlXzeaquSSy3SlXzeaquSSy3SlXzeaquSSy3SlXzeaquSSy3SlXzZbTuQzD0KVLlxQSEiI3t5tfuc6Zdklubm66//77c/QxfX19XeoFdiOyZZ+r5pLIdqdcNZur5pLIdqdcNZur5pLIdqdcNZur5pLIdqdcNZur5pLIdqdcNVtO5rrVGfZ0TEQHAAAAAICLomgHAAAAAMBFUbTnMC8vL40YMUJeXl7OjpIB2bLPVXNJZLtTrprNVXNJZLtTrprNVXNJZLtTrprNVXNJZLtTrprNVXNJZLtTrprNWbmYiA4AAAAAABfFmXYAAAAAAFwURTsAAAAAAC6Koj0XceUBAAAAAOBuULTnIpPJ5OwIAAAAAIA8jKI9lxw4cEA7d+50dgzAqVxttIlhGLJarbJarS6XDXkfr6mcYxiG/vzzT2fHAAAgA6vVekd9d4OiPZe89957mjBhgrNj2FitVq1cuVJpaWnOjnJTycnJunz58m2344OxPVc+Hv8ebeLsrCaTSW5ubnJzc7PLdmMh7+yMrurG45MXj9Hly5eVkJCQq/swmUxau3atEhMTc3U/94LffvtNr7/+urNj5Gt58X18L8kLv5+8kDGvyq3CLy9IP8Fyq35nc3PLWEKn53Jzc8uVk0MU7bnk119/1cMPPyzJNV5cu3bt0tChQ+Xu7i5JSkxM1Pbt2+2yXbt2TcnJyc6KqNmzZ2vJkiW22zc7bq502cHGjRsVGxvrkH2lpaVp7969Onv2rF27yWTS+fPndeXKFYfkyKqjR49q7ty5dm3O/N2dOnVK5cuXV6dOnTR27Fj9+OOPOnbsmCTZFfKu9Pq6kaP/jvx7fzceH1c9RrcydepUdejQIdf307RpU+3fv992e8WKFbn+ZcHdWr9+vQ4fPuxSf0NWr16t48ePS3KNf0NvZBiG0tLSXC7XrWT2ATIvvo/vBem/p1v9flzltecKX8znt+L29OnTWrNmja3wc0W5PVpx69atmj9/vs6dO2dru3btmk6fPq2rV6/aXnfOeh+cPHlSXbp0Udu2bTVu3DidPn1a0v99Hl+0aJFefPFFnT9/Pkf3S9GeS2JiYlSlShVJrvEP4+bNm+1yLFu2TC+99JJd208//eTUMxuTJ0/WqVOnbLf79u2refPm2W2zcuVKlxkymZSUpI4dO+qXX35xyP6io6PVrVs3zZo1y9Z2/vx5jRw5Up07d9aQIUN08OBBh2TJivnz52v06NG221u3btWUKVPstklJSXHYP0pXr15Vw4YNde3aNX3//fd69dVXVadOHZUtW1b169fXyy+/rJkzZ+r33393SJ7MpKSk2M7SXrt2TSkpKbY+R/4dMQxDJpNJp0+f1ocffqjatWsrNDRU9erV02uvvaZt27bp2rVrDsuTE7Zt26ayZctKyr0PHH///be8vb1VoUIFSddfcwMGDNClS5dyfF855erVq2rRooXKlSun4OBg1apVS927d9fHH3+szZs36+zZs075Xf/yyy9q1qyZpOuvfavVqrS0NKWlpTn9g6zJZJK7u3uG96Szc6W78bV945kfk8lk+5ty5swZ7d2716G5rly5ok2bNik+Pl7S9Q++J0+e1OXLl53yGuvQoYPdv5nnz593iWJ4zZo1GjRokN3v5+rVqzp06JC2bdumxMREl/hcOWfOnAyXgToj141nPNN/f67yXrwTa9eu1VNPPaWff/4507O5jnLkyBEtW7bM9uXpjf49WjGnjR49Wrt375a3t7etbdy4cWrQoIEKFy6sLl26KD4+3imvt7///ls9e/bU5s2blZCQoP/+97/q2rWrYmNj1aZNG9WvX19jx47Vzp07VaxYsRzdN0V7LkhNTVVCQoIWL16sWbNmadOmTTpw4ID+/vtvJScnO2WI+vbt21WnTh3b7V27dql8+fKS/u+P3LfffqujR486PFu6c+fOqV69erbbS5YssR2r9IwDBgywnR11hLS0NF27di3Tsyr//POP/vnnH1WvXt0hWdasWaPg4GD16tVLkhQfH69Ro0bp3Xffldls1pIlS/Tcc88pLi7OIXluJzo6Wk2bNrXdXrx4sXbs2CHp/36fQ4cOVe/evR2Sp1SpUvrggw80ZcoUffbZZ/riiy80ZcoUvfTSS3rkkUe0e/dude/eXW+88YZD8vzb8ePHNWDAAH311VeSrn+JNmzYME2fPl3Lly/Xtm3bdPHiRYdkMZlMOnz4sDp27KjBgwerYMGCaty4sQoVKqT58+frqaee0oIFCyS5zhmf2/n111/10EMPScq9Dxy7du1SsWLFVLBgQds+z507Jz8/vxzfV04pUKCAjh07pqioKH344Yd69NFHdeTIEU2YMEHNmjVTqVKlVK1aNXXt2tWhuQ4dOqS///5bR48e1bVr1+Tm5iZ3d3e5u7s79YNscnKyPv/8c02dOlV79+61+/fczc1Nf/75p5YvX+6090X6F27pTCaTYmJi9MUXX+iTTz7Rm2++qSpVqui+++7TDz/84NBsX3zxhfr27at//vlH0vUv5ps2barnnntOo0aN0uzZs5WUlOSQLCkpKfr666/l7+9vaxs8eLDdSDar1aoffvjB4Z/Zpk+fLqvVqpCQEFtb//79FRERoXr16qlu3bouMWfSwIEDtWvXLtvtsWPHasuWLXbbpH9Bk1suXLigOXPmaNasWYqOjra99t3c3JSSkqJTp07p66+/dulLQ29kGIY6d+6sXr16qXv37lqxYoXTskydOlXff/+93RcgP/74oxo2bKiyZctq2LBhtvdyTrpy5Yp27typ559/Xr6+vpKuf34cPXq02rVrp/fee08//vijFi5cmOP7zoqffvpJJ0+e1JIlS/Tdd9+pR48eWrNmjdq1a6fq1atr1KhRmjdvnvbs2ZPzOzeQ43bu3GmYTCajcuXKhre3t2EymQxfX1+jSpUqRvv27Y3Ro0cbX331lbFz506HZSpfvrwxb9482+2GDRsa48aNMwzDMK5evWoYhmE8+uijtjZHS0pKMtzc3IwLFy7Y2vz9/Y3ffvvNdjslJcVwd3c3jh8/nut5rl27dtM+q9VqpKWlGWvXrjU8PT1zPUu6Vq1aGUOHDrXdXrRokfHQQw8Zc+fONQzDMH755Rfj4YcfNpYsWeKwTLdSrlw5Y8aMGbbbDRo0sL2+rFarYRiGUb9+fWP06NFOyWcYhhEfH298//33Rr169Qx/f3+jZMmSxqxZs5ySZdCgQUb37t2NX3/91TAMw2jXrp3h6elplCpVyggLCzNCQkKMDz/80GF5nnnmGeOxxx4zjhw5YhiGYSQmJhpnz541Nm/ebPznP/8xTCaT8dNPPzksz92yWCzGu+++a0RFRRmHDh0yzp8/byQnJxtpaWk5to+RI0caderUsd2eNWuW8cgjj2TYLv3178rOnDljrFu3zoiMjDRMJpNRqlQph+7fz8/PCAwMNPz9/Q1/f3+jQoUKRuvWrY1Ro0YZy5cvN06ePOnQPIZhGCdOnDC6dOliFClSxChUqJDh4+Nj+3d14sSJRqtWrYwqVaoYYWFhDs92ow0bNhhz5swxnnvuOaN48eJG7dq1jWeeecYwmUzGo48+anzyySfGqlWrjFOnTjksU0pKilGjRg1j9erVtjaLxWL06dPHaN26tVG2bFnDZDIZ8+fPd0ieHTt2GIULF7bdjomJMby9vY2LFy/a2v766y/Dy8vLIXluFBgYaKxdu9Z2e968eUaRIkWMmTNnGn/99ZdRrVo1o2/fvkZKSorDs93Ix8fH7jPa/fffb6xcudIwjP/7GxcSEmL88ssvubL/EydOGM8//7xRoEABw2w2Gx4eHsb7779vXLt2zRgzZozRqVMnIygoyChevHiu7D83Xb582ejbt69RtWpVY8OGDU7JUK5cOWPWrFm2GmHv3r1GQECA0aJFC2PgwIFG0aJFjalTp+b4fqOioozAwEDjypUrhmEYxtmzZ40WLVoYvXv3Ngzjes0yZswYo2nTpjm+76zo3bu30b59e9vtsWPHGpUrVzb++usvu+1y4995j5z/GgCbNm1So0aNtG7dOknXr0/Zs2ePtm3bpqioqP/H3nnGR1Vub/tKQhJI770HQkglEHpHROkIIioggiBIbyIKKoIiCkjvXUABKQLSewkkhPSQ3nvvPZns9wPv7EMEPOcoswfOn+vLOZOZn/tmZpdnrWete7Fjxw4yMjLo0KGDuPOoaDIzM2lsbCQlJQUHBwfi4uL4/PPPAWjW7NFpEB0dzTfffCOJnj8TGRmJkZGRmFVLTk5GVVUVJycn8TNJSUmoqalha2urcD1Hjx5lzJgxdOvWDVdXV3x9fWnXrh3u7u5oaWmhoqJCTk6OJFrk5OfnNzne0aNHad26Nb169QKgbdu2NDY2UltbK5mmvyIjI4PXX39dfJ2YmIinpyfwqIKhWbNmxMXF8d1330mqKykpiUuXLhEUFMSZM2cQBIERI0YwadIkevfujYODg6R65Jw/f57Vq1eL35Gfnx9HjhxhwIABJCUlsWbNGi5fvsyIESOa7MAogrq6Oi5evMjdu3fF70NbWxttbW3MzMzo1q0bRUVFHDx4kE6dOqGhoaFQPf+U3Nxcqqur+fLLL1m0aBEmJiY4Ojri7u6Ou7s7rVu3xsbGBhMTE2xsbP72cZKTk0lOTmbGjBk4Ojpy4sQJdHR0iIuLw9DQEGNjY4WXFf5TAgMDuXTpEoGBgVy9ehUHBwdWrFhBv379JNOQm5tLRUUFly9fprS0lIyMDBISEoiLi+PUqVNs3bpV3JHNzc1tUkKpSE6ePElMTAxbtmxBV1eXmTNnMmvWLI4fP05lZSVOTk4MHjxYLOtXFn379sXd3Z0pU6YwadIk6uvr8fX15cqVKyxdupTevXtLrikiIoLCwkKxmi4+Pp66ujo2bdokfmb58uWcO3eO9957T+F67t69S6tWrcTX8urDx3feQ0JCsLS0VLiWxyksLKSmpkZsr2xoaODgwYO89957fPjhhwB88cUXLFu2TKlVTrm5udTW1mJvbw88qjAtLi4WKzhVVFQoKSkhOzsbV1dXhWj4/fffiYiI4MSJE5iamjJlyhSxrLqwsBALCwv27t1L165dFXJ8RaKlpcVPP/3E/Pnz+eijj1i9ejUdOnTAwMBArORSJNXV1aSnp9OvXz8xRtiyZQs+Pj78+uuv6Onp0bx5c44ePcrYsWOfq6b09HQcHBwoKCjA0tKS4OBgEhMT+eyzz4BHMYudnZ1kflJ/JigoiHHjxomvQ0NDGTJkiNgWV1tbS7NmzUQPsefJq6BdAdy5cwdHR0cAscTJysqKQYMGNfmcVCdcSUkJVVVVfP/991haWmJtbU1+fj7h4eGoqKhgbm5Os2bNKCgooF27dpJo+jP+/v4UFhaycuVKPD09CQsLw9LSktraWlRUVNDS0iI0NFThwYocDw8Pli9fTk5ODjExMdy8eZOCggJkMhlGRka4ubkRHBwsmg1KQY8ePTh79iwffPAB5eXl/P777/z2229ikFFfX09CQgJubm6SaXoW+fn51NTUcPv2bbp06YK1tTWVlZViEN+sWTOqqqokO+cEQeDEiRPs37+frKws1NTUsLCwYMuWLfTq1YsWLVqgpaWlcB3Pora2lsTERNzc3MSArlWrVrRs2RJNTU3atGnDZ599xuDBg8UHqCKJjIxES0uLNm3aNCm3Ff6/c7yqqiqzZs3i008/feEDdnh0f3F2diY+Pp64uDiCgoIICAggMDCQ06dPU1xcjCAI+Pr6/iOPitdffx1VVVVSUlIICgoiNzcXdXV1pk2bhqGhITY2Nmhra/Pxxx9jZ2f3HP+Ff5+ioiJKS0s5duwYu3btoqGhAR0dHdq1a8ft27dxdnZGV1dXUk3BwcHY29vToUMH8W91dXVUVlZSWlpKYWEhmZmZFBYWShaww79KQ0ePHg3A4cOHuXfvHtOmTaN9+/ZNAj5lUV5ezvDhw1FRUcHExERM6jY0NFBRUYG1tbVSdN2/fx8LCwvxPqutrc2ePXtEjwJ1dXXMzMwkKwf29/cX22Xg0bQC+bNTJpOhpqZGQECAGDxLRUZGBo6OjuTl5WFqasrDhw8JDg5m3rx54mesra0pKCiQ9Nz/Mw8ePMDBwUHcaImIiEBPTw8TExMaGhpo1qwZMTExaGtrK+z+cf78ed58800GDx4MgLu7O3V1dYwePZohQ4a80MnR/4SgoCA0NDTIysoS7zkWFha4uLjg7u7O2rVrFdYqFB8fj42NDZqamsCjzcfr16/zxRdfiO1ew4YNY//+/c89ieDi4oKKigr79u1j+PDhfP3113h4eIj3Mnh0P1FUMujfkZWVxaeffsqpU6fo3r07V65caRILyL8zRfAqaFcAxcXFjBgxAviXQYZ8pJT8b6qqqlhYWEiix8DAgMTERG7dukVoaCgxMTG0bt2atWvXoq6ujqmpKSoqKujq6kq+OJPTtm1b3njjDfbt20dKSorYfzRw4EBcXFzo3Lkzp06dolOnTpLo8fT0xN3dXRxDl5+fT0FBAZmZmSQlJZGYmIi5uTljxoyRRA/AtGnT6NatGx4eHpSWltKzZ0+GDx8uvn/79m20tLTEnVplUlpaio+PD4sXL6aoqAh4tJgcM2YMHTp0oGvXrpSXl6OlpSVJ1jgiIoJRo0ahp6fHa6+9xvvvv8+wYcMAJAmC/x0JCQni/aCxsRFVVVVu3LjR5DMVFRVkZWVhZmamcD35+flYWFgQFxdHmzZtnvqZsrKyl8aM7s6dOzg7OwOPFgQuLi5NdvNqamoIDQ39x/15Y8aMEe8JxcXFpKSkEBsbS3R0NElJSURGRpKcnMzkyZP/0XGeJ+PHj+fs2bN06dKFTz/9FG9v7ybBMjwK+J5mvKYozp07JwYD8gBKQ0MDDQ0NDA0NcXBwoH379pJoeZywsDCxQg3g4cOHzJw5k9deew14dB6pqamhrq4uuTY5urq6nDhxgm3btvH111/z1Vdf8dNPP6GmpoaxsbHSgvaSkhL09fUpKirCyMgIKysrcbdKvk4KDw+XTF9qaiqxsbEsX76ctm3bcubMGQYMGAAg7pA9fPiQPn36SKJHjp2dHXZ2dnz00UdMnDiRAwcO4Orq2qTS5d69e+IOt7IIDg4mNzeXGzdu0LlzZ0JCQnB1dW2yhgwNDRXvu4ogPDyc+fPni69jY2OZNGkSQ4cOBR4l+l6GpPLjNDQ04O/vz9dff01ycjIODg7s37+f/v37ExUVRXh4OAEBASQmJirU26N58+aYm5uzfv16Zs+ezZo1axAEgSFDhoifiYiIUIhfi7u7O8OHD+ebb75h8eLF9OnThy+//FJ8PzExkZiYGEaNGvXcj/2fsGvXLqKjowkNDeWPP/7A3Nyczz77jMWLF2Nra4u3tzfu7u4sXrz4uT8LVARl1tf8j5KYmNjkRiUP2OWjkqQ20fnll18AeP/995v8PS8vj6ioKMLCwnjw4AHW1tasXLlSUm3PIi0tjeDgYG7dukVQUBDx8fHk5OSwdu1aZs+erfDj37x5k27duj01oGtoaKCqqorS0lJMTExo0aKFwvVkZWWJrr+nT5/GxMSEN954A1NTU+BRqdrMmTMxMDBgx44dCtfz76itrSUjI4OKigpycnJITU0lNTVVDFry8/PJzc2lR48e3Lx5U+F6bt68yfjx4zE2NsbExIT6+nq0tbWxtrbGysoKOzs7LCwsaN26tVglIyWRkZF88MEHzJgxg4kTJz7xfmNjI9u2bWPTpk1ERUUpXE9+fj7Dhg2jXbt2TcpX5ZSXlzN79mzq6+s5cOCAwvX8UwYPHkzHjh356quvmsybB54IRoU/GXn9p5SUlHD79m0GDhz4l2VxaWlpL8wue0lJCWZmZhgYGGBra4uXlxft27fH1taW1q1b07JlS6UktYKCgpDJZE12QpX9HIVHweWIESPo2rUr7du3Z+jQoZw9e5bu3btLruVZPH7+lpaWsn37dm7evEl0dDQGBgbcu3cPTU1NMRkiFbdv32bs2LFs27aNAQMGiJsYgiCgpqZGWloa77zzDmPGjGHmzJkK17NgwQLi4uKorKykpqaGpKQkzM3NcXR0xNzcnNatW7NgwQKuXbvWZIdPCoKCgli2bBmJiYm0adOGBQsWiBsWMTExfPbZZ7Rv356vvvpKUl2Ps2vXLn766SfKy8spLS2ltrYWTU1N3nnnHby8vOjbty/Lly9HS0uLvXv3KkSDqqoqo0aNYuDAgaJB38WLFyUzB1YEq1atYtGiRXz00UeMGjVKrE78u8+lv4P8WJs3b+b7779HW1sbgPnz5zcxQp43bx4aGhps3bpVIToKCgpITU3F1NS0yTNz4sSJpKWlsWPHjiYttFIjk8morq6msLCQwsJCEhMTiYyMJCQkhLS0NIVM53gVtD9nysvL+eabb2jfvj3t27cX+3uUSf/+/fH19WXFihXU1dWJDrwvEvX19f82I1VXV0djY6PCS8Ly8vKwsLCgvLwcbW1tGhoaOHfuHAMGDGiisbi4GENDQ4VqkbNkyRKqq6tZs2ZNk7/Ld2WTk5O5fPkyvXv3fiHOuadRXV1NVVUVJSUl4g3Ozs6uycQARVJVVUVycjLh4eEkJCSQnJxMRkYGJSUlCIJASUkJn3zySZMyRCmQPyDHjh3LrVu3OHbsGO3ataNZs2bi7xsSEsLMmTPp2bMnK1askETX5s2bmTNnDqNGjeKjjz7C3t4eNTU1SkpK+Omnn4iJiWHlypXiLuOLzOnTp/H29sbe3l6sDpAHfo+X/v+TRdHBgwdZsWKFmFRJTEzE39+f0aNHiyPC5Mh/V2VTVlbGiRMnKCwsJCsri+TkZLKysqioqKC+vh4tLS0MDAzo1KmTpAndW7duoaqqiqWlJZaWlkptXZFTVlbGrFmzKCsrIycnh5KSErKysrC3t8fW1hYXFxfc3Nxwd3dvMqlFauRJKfm5XV1dzaVLl9i7dy9paWmMHDmSuXPnoqWlJWkg0NDQwMCBA0lLS2PTpk1Ndo6LioqYPn06qamp7Nu3T7JnWHl5OVlZWaSmppKRkUFiYiJZWVnk5+dTWlpKYmIiCQkJSjn/cnNzSUtLw83NDW1tbfG3WrVqFRERESxcuBAPDw/JdcmRP8eLiorIyckhLS2NxMREoqKiSE1Npbi4mLy8PH755Rfefffd5378qqoqFi1aRGhoKLGxsRQVFSGTybCwsMDLywtfX198fX3x9vZWSiL+73Lr1i20tbWfWkkkH3spn6ShaCoqKrh+/TqBgYH07duXHj16iMddtWoVJ06cYOnSpc/Vw6O6upp79+7Ru3fvZz4j09LSqK2tpWXLlpK3QISHh1NeXv7Mdat8Q0Amkymk4upV0P6ciYuLY8CAAdTU1JCTk4OKigpWVla4u7vj6+tLz549adeuHcbGxpJpsrS0ZNu2bWI5sBxBEJrMK1Z2mXBiYiItWrQQ+9YfL22qqamRrH/rwoULTJ48mfT0dOBR71vXrl2pqKgQH94RERF89913ko2caNeuHaNGjWpSmvlnpFyA/Sf8Oz1paWlYWloqtZQUHi2OkpOTCQkJwdfX94nSYKmIj49n2LBhlJeXM2rUKHx9fTEzM8PPz48NGzbQs2dPfvrpJ0kXID/++CPfffcdFRUVmJubo6WlRVZWFrq6uvz8889KN9z6T5H3Zj/LE0P+kP0n98AZM2aQl5fH0aNHgUffXUBAAMePHxevhdWrVxMVFcWePXv+9nEURVVVFeXl5RQVFZGRkUFaWhrZ2dnExMTg4ODAt99+K5mWTp06iS1bhoaGWFhYYGNjIwbITk5OmJqaSp58lu8q5ubmkpWVRWZmJpmZmWRkZIiBi42NDRcvXpRU17N4/B5cUVHBjh07WLt2LZmZmYSGhkrer/3w4UNGjRpFbGwslpaWuLq6YmJiwoMHD8jPz+fUqVOSmeQVFRVRX1+Pubn5E+8VFBSQkZFBXl5ek7GlUlBYWIi+vv4T9yJ5n3hWVhZVVVU4OTm9EIk/OY2NjdTU1FBRUUFRUREFBQUkJyczZMgQhXs9VFdXk5qaSmJiImFhYYSHhxMdHU10dDR2dnYkJCQo9PjPk6KiIlatWsXMmTOxsrLC398fQ0ND0eTsReHy5cuUlJQwcOBAcSf+eXD69Gneffdd0Wg0LS2NS5cuMXHixBfifB85ciTW1tZs2LABgGvXrmFgYNDEmyknJwdNTU2FbOq9CtqfM42NjRQXF1NWVkZubq5YEpyUlERqair379+noaGB4cOHc+LECUk0NWvWjIiIiGf2piqbiooKDhw4wJYtWyguLsbX15d169bh4OBAVFSUOPc2MDCQyMhIhev56quv8Pf359KlS8CjmakHDhzg9u3b4iJow4YNrF27luTkZIXrATA0NOTy5cv4+voCiKWF8lLRlwX595eVlYWtrS0PHz6U1Ezk2LFjhIeHY2RkJBqbKDtp8DihoaFs3LiRK1eukJubS11dHerq6nz44Yd8/vnnSnG2l7t4R0REUFpairm5OZMmTcLIyEhyLX+HjIwM7OzsUFVVpVmzZjg4OODl5UWnTp3o2LEjPj4+z8VXoVOnTrz99tt8+umnAAwfPhwnJyd++ukn8bwfNmwYtra2T205UDaCIFBYWIiGhobYTw6PyiAFQZDMZE0mk3H16lXS0tJISEggPT1d3PnU1NTEwMCA6upqzM3NOXjwoCSa4FHA/jTPF0EQRHO8jIwMNDU1JTUofZyGhgY2bdpEhw4d8PDweGq/aUNDAwsWLODrr7+WrFLsz+zdu5dr166J/jWOjo589tlnkiUR4uLiWLJkCa6urixbtgyZTCY+S1VUVCTdJHicvLw83n//fTp27ChWVDU2NnLu3DkuXbqEhYUF06ZNeyEMD+GRNvl1IXVAtXbtWg4dOsTAgQPx8fHBx8cHGxubJsmOgoICysrKlFpC/d8ya9Ys6uvr2bBhA+rq6ujp6VFXV4e2tjaWlpa0adOGLVu2iK2RiqC0tJQ333yTli1bYm9vT+vWrXFzc8PZ2Vnh597SpUsJCAgQDSl37NjBL7/8wo0bN8TnqPz+oYzWPFdXVxYuXCi2MXp7ezNs2DCWLVsmVtBNmTKF/v37M3LkyOd+fOU7MP2PoaqqirGxMcbGxjg6OtK5c2dGjx7NvXv3OHbsGDKZjICAAIWaczxOamoqjY2NDB8+nFatWuHj44O3tzeurq5YWlo+NaMrNadOnWLLli14eXnRokUL9uzZQ2NjI126dOHUqVPk5ubSqlWrJkYUiiQgIKDJbqu/v7+Y8JDfNEJDQ+nbt68keurr6yktLcXf35/mzZvTsmVLpbrG/hPkCQZ5FYpUAXtycjJvv/02ERERmJiYUFVVRVlZGUZGRsyfP5/PP/9cqSXL8vOqbdu27N69m4yMDLKysmjWrBmGhoZYW1tLaqjz4MEDjh49SmFhIR06dOD999/nrbfekuz4zxMzMzMePnxIQUEBSUlJREREEB4ezo4dO/juu+8oKSnBwMCAt99++x/5QcTHxzcxrYqJiREf2o2NjaipqfHw4cMmo2JeBG7dusXKlSsJDAxEU1MTa2trevXqxcSJE3F1dVWI0dBfoaam9sTuZm1tLQUFBRw8eJBDhw4RGRkp+c5Tv379mDx5MpMmTQIe/b62trZoa2tjYGCAgYGBZM/1Z5GRkSG2MVRVVWFgYICTkxPe3t60a9cOHx8f3NzcWLdunaS6ioqKqKysRFdXFx0dHSZMmMCYMWOorKxUSuJg8+bN6Ovr88EHHwCIrQRyz4Tdu3eTm5vL4sWLFeoE/Wfu3btHaWkp48ePBx4lWPbs2cPUqVNp06YNZWVlXLhwgTNnzkh+XT6OTCbj/PnzHD58mMbGRgYOHMjYsWPF9/39/Xn48CExMTGsWrVKIRocHBywtbXl7NmzbNu2jYKCAnR1dbG2tsbLy4vOnTvj5ub2QvlN/DsSEhK4ceMGBw8eRF1dnezsbGQyGQcOHKCiooLo6GgOHjzI9evXeeeddxSmo6ysjNatW1NbW8u9e/e4dOkSdXV1aGpqYmRkhK2tLW3atKF9+/b07NnzuR7b39+ftm3bNnn95/vq9evXlTbaOCUlpcmuemlpqdgOJV/f/vLLLwr7fV4F7QpCvtt+/vx5du/eTXV1tTi6ae3atZIZZfj5+WFmZsasWbPw8/Pj999/Z/369eID1NnZGWdnZ9544w0++ugjSTT9mSNHjvDGG2+wevVq4FFAd+PGDdq1a8enn37KiBEjxAeqFERGRjJgwAAxg/zw4UMxqya/KENCQpg6daokeuQ9sitXrmTOnDlir6e7uzvt27enY8eOeHp6Km2++J+R91z9VQVAZGQkJiYmkuhJTExk2rRpaGhocP78efT19ZHJZKSkpHD8+HEWL15MfX290kx94uPj2bx5M25ubpibm2NnZ4eVlRXe3t6SLhjl3L59m/nz5xMdHS3OuT179iz79u0TF9gvQpnaf4qGhoaYdOvatatYUh0dHY2fnx+nTp3i7NmzJCYm/u1j1NfXiz3O+fn5mJqakp+fL/b7q6mp0djYSHp6ehNzNWVz+vRpRo8ejYuLC1OmTEFFRYWHDx9y4MABtm/fzvHjxyWdzw5N+/2rqqqoqKjgypUrHD58mOLiYlq0aMHIkSP55JNPJNUVExPTZPH41ltv8d133zFixAhR87fffsvYsWOVdi+2tLTk+vXrFBUVkZWVRWJiIrGxsQQHB3P69GnKysooLS1lxIgRYhuHFCxfvpyrV6/SuXNnnJycaNmyJXZ2dpibm1NXV0eLFi3Q0dGR7L5y+fJlvvnmG1q2bAn867kuP76DgwN//PEHSUlJklYoXr9+HScnJzEhdf/+fQ4cOMCiRYtYsWIF165d49NPP+XSpUtKc84GOHnyJMuXL6euro7a2loOHz5Mbm4uTk5ObN26lfz8fBITExV6jb711lsMGTJEbFts3bo1AwcOxMTEhJCQELZv305sbCwXLlyQvMXh73Lv3j3U1dXFipO4uDg8PT3F37qsrIxmzZpx5swZhQbttra27NmzR2yVysrKoqioiMTERAoLC0lISGDXrl0MGDDguQftERERTSYChIWFMWHCBOBfye/IyEjJ7//wyKBXJpOJ16e8Ok1+j1BRUaG4uJja2lqFPedfBe3PmYCAAIKCgrh37x6nT5/G3NyckSNH4uXlxcCBAyXPjt65c4e+ffsyffp0pk+fDjxaCKWnpxMVFUVISAjXr18nODhYaUF7UFAQc+bMEV9nZGTwySefsHTpUuBfvVxSPdDV1NSYN28ey5Yto2XLljx48ABfX1+uX78uLjRSU1MlMxu6desWbdu25c6dOyQkJJCSkiK6/p85c4bNmzdTUlJC165duXPnjiSa/oq1a9eyb98+Xn/9dTw8PPDw8MDW1hYjIyOxQiAsLEyyxdDvv/9OfX09Bw8ebLLo7tSpE6NHj+bbb79l//79jB8/XiljdGJiYjh+/DhXr16lsbERXV1dTExMsLGxwc7ODktLS6ysrGjTpo0kruM7d+7EzMyMX3/9FWdnZ06dOsWUKVO4du0ao0aN4mXtqJK7VAcEBHDs2DFiYmIICAjA1NSU9evXi7N+/w5ZWVnY2dmxePFiZDIZGhoaFBcXs2bNGtq3b4+Xlxf19fUIgvDCOMenp6ezePFiPv30U5YtWybeZwVBIDw8nE8//ZT333+fiIiIp/b9KgpVVVUiIyO5d+8efn5+HD9+HFNTUwYMGMDgwYMZPny4JGMPH0feq/u48Vd2djatWrUSNdfW1vLVV18ptZJCvjEgRxAE6urqxD78vLw84uPjsbS0lFRX3759qampITY2lvPnz1NaWiqOoPP09MTT0xM9PT3Gjh0rySjczMzMv7wOe/Towdy5cyX3TEhMTGxiQCbfUZcbufXq1UtcfyiTnTt30qNHDzZt2kRhYSG9evXiq6++4sMPP6Rjx4707t1bkmRfs2bNxHLt4uJiPv74Y7y9vamrq6OqqoqCggKlj8b7bwgNDW1yXtrY2LBs2TLxtZ6eHmpqalRWVipci6qqKiYmJpiYmNC2bVtKS0uJjIzkhx9+4OLFi5iamjYZOfy8yM7OprKyUpxGkJ2dLSZd5NdjQkKCUpLfISEhqKurExsbi5WVFVFRUejr6zdpVUhKSkJDQ0Nh47NfBe3PkYyMDN544w3Kysro2rWrpKYqzyIwMJDRo0cD/9rBkGclW7du/UKUvGZnZ5Oamkp8fDytWrUiMzNTzKyB9AZ5ERERZGdnExERQUhICC4uLpw7d45du3bR2NiIgYEBJSUlks1Dv3fvHp06dUJLSwsvLy+8vLwYOnQoDQ0NVFdXU1JSQlpamtLbHOR4enrSrl07AgMDOXjwIEVFRWLZbZs2bWjXrh2//fabZIvba9eu0alTJ5ydnZt4Acj/d/z48Vy6dImLFy+K40ykQj73dMiQIaSlpYnJmNTUVBISEnjw4AHwaDG3bNkySUYh3bhxg61bt+Ls7Ex9fT3Dhg1j3rx5YjmaPNv9spCTk0NeXh7nz59n69at1NfX4+TkhKenJ9999x0eHh7/OCFoZGTE7t27KS4uFs3J3N3dCQkJ4erVq9TX15OXlyfu7L0I3L59G1VVVZYsWQL86z6roqKCt7c3R44c4c033+TXX39tklRVNB988AHBwcGUlpbi6+vLuXPnaNOmjWSVOU8jPDwcfX19UUNCQgJqamrY2tqKn0lJSaF58+ZKDxIEQSA3N5eSkhIqKysxMDDAwcFBTHS89tprkife5Pc4OcXFxSQnJxMREcHWrVs5deoUgCTrkby8PBwdHcnOzgaeXhkmv4blSRmpaN26NdHR0eLrn3/+mVmzZoltZGpqaiQmJjJlyhRJdf2ZwMBAvvnmGwCMjY2pqKjg448/ZsmSJaLJsqLbzWQyGY2Njairq5OUlISqqqp47WloaKChofHC9P7/p6irq6Ouri62bMkrYR83lAwICJAsYC0uLubIkSPcu3cPf39/MjMzGT58OIcPH8bd3f25Xx+FhYW0bNmSyZMnU1dXh4GBATk5Oaxfv54+ffrQrl07WrRoQXV1teQmmvDo3lFTU0PXrl0xMjKisbGR0tJS9u7dK1bIXL58WaGtWy/GKv9/hOTkZBoaGujQoQOmpqb8+OOPHDp0CGtraxwcHGjdujV2dnZYW1tLpsnY2FgsX5GPIniRjMtyc3OxtbVl586d7NmzBw0NDYqKiti2bRtt27alZcuWODg4YGlpKVmgoK+vj76+Pq6urk1K0OQ9scHBwVRUVEj2Pd6/f79JuZCcZs2aoauri66ubpPFo7J54403RFdxmUxGdna2WKIZHBzMqVOnyMjIaNL/q0jKy8ubXHN/XkjY2tpSVVUlac+4HHnbh6qqKnZ2dtjZ2fHmm28Cj/woNm/eLLaNSGWmU1BQgJWVFQ0NDeI5Xl5eLlYpvEwBe11dHe+++y63bt3Czc2Nr7/+mq5duz7xUP0nC0xBENDV1W0y+q6uro6ioiLy8vLIzc0lNzeXuLi4F8oMNCgoiDZt2jz1vG9sbMTQ0JDOnTuLiSMpqK2tFc3lBg8eTP/+/SkuLiY7O5vq6mq0tbXR0dFBXV1d0ufYvXv3aNWqlXjMuLg4bG1tMTAwEM+doKAgSSsSnoYgCKxatYq1a9eSm5tLs2bNMDExoUOHDkycOJFBgwbRrFkzydcA8l0zeNRKYmhoyI0bNwgODsbS0pKWLVuKRleKRkdHBw8PD9avX8/w4cOfuJ/V1tbyxx9/4OTkJPn39OGHH9K1a1fat29PTU0N6urqTJw4UbxGo6OjKSsre+o4MKmora2lsrISIyMj0bCvuLiYKVOmNJmKpOjKyMdHF0dGRmJpaYmenp440lNVVfWlauMCGDBgAEOGDMHPz49BgwaJf5efh3fv3iUlJYVFixYpVMe1a9fYsmULwcHBWFhYYGFhwcKFC3n33XdRU1NTmKeSjo4OR48epaysjIyMDJKSkkhPTxfbeyoqKqioqMDY2Fjya1MQBMaOHcvYsWOJiooiICCAiIgIgoODWbJkCWVlZejq6lJeXt5k0/F58ypof454e3tz/vx5cZcsOzub3NxcEhISuHjxIqqqqlRWVjJmzBjRYVjR/PHHH2JWXX6Dk89Ez8jIwN/fn9jYWBYsWKCU/lk9PT327t1LVlYWKSkpZGVloaenR3h4OAEBAaioqCCTyWjXrh1bt26VXB8gfn/yUiF5llOqBMiPP/7I66+/3kSPioqKWM76olFdXU2LFi2AR+ecjY0NNjY2TYKa8vLy5zom5K/o3r07R48eZcaMGU99iBcVFZGWlqa0hdDjms6cOSO2q/j5+dGlSxe2b9+Oi4sLnTp1UriWlJQUampqmDt3Lq6urrRt2xZzc3Pq6+vR1NSkoqKC5s2bv5Dn3dOIi4vj1q1bODs74+rqir+/P9XV1URERGBvb4+TkxPGxsb/aHGnoqLCzp07UVdXx8fHh5YtW6KtrS0udh5HvqB8EdDW1qampobCwkKMjY3FHcfHKylSUlIkne6gpqbGqVOnCAsL48qVK3z55ZcUFRWhpqaGhYUFLi4utG7dmnbt2omGcFKQmZlJYGAgnp6e+Pj4EBMTg5aWFsXFxaLPQ2xsrFJ2f+Q0NDSwbds2Pv/8c6ZMmcLAgQNpbGwkNDSUc+fOMXr0aHbv3s2YMWMk16apqUlkZCTx8fGcOHGC06dPY2FhgaenJz179mTXrl2SjMEVBAEtLS3ee+89Ro4cycCBA5kyZQqtW7fG2NgYPT09duzYwY4dO5g9e7bC9fwZDw8Pbt68ycGDB1FVVWXUqFFi6W1NTQ0bNmygbdu22NjYSK5NTlRUFPX19UycOLFJBUxBQQHp6eno6+vTokULhU5lOXLkCMHBwXh5edGtWzcuXLiAq6vrSxmoP06vXr3o1asX48ePZ+rUqfTr1w97e3ssLS2JiopiwoQJdOjQQaE77YmJifTr1w9TU1OGDBlC3759eeutt9DQ0Pi3XkX/FE1NzSYmdPX19VRWVlJeXk5hYSF5eXnExsYqperq8TW3m5sbbm5uTd6vqKggLCwMf39/hW5IvRr5pmBKS0vJyMggOTmZzMxMoqOj6d+/PwMHDlT4sR8PKoOCgoiNjaWqqorAwEBu375NVVUVpqam1NTUEBERoXA9/yny7ywtLY309HRiYmJo2bIl06ZNU/ix5eNVbt68iaamJmPHjm2yaK2urmbNmjX06tWLHj16KFyP/Jhbt26lvLycdu3aNSkzzMvLo6ioiDNnzjBnzhyljy+LjIykZ8+e9OrVCw8PD9q2bUvr1q3FLLgy9MXGxuLp6cnQoUNZvHgxrVq1QlNTEzU1NVRVVZkwYQLR0dH4+/tLrq2hoYHY2Fj279/PiRMnUFdXx8jIiO7duzNlyhQsLCzQ0tKSTE9VVRWHDh3C39+fkJAQ4uPjxf45BwcH3NzcaN26Nd27d38hWmv+HdnZ2Zw4cYK8vDxxdFhxcbFYRaCrq4umpib9+vX7R4v0oUOHkpiYSGNjI82aNcPCwgI7OztcXFxwd3fHzc0NR0fHF6rKKSwsjH79+rFq1So+/PDDJ94PDAxkwoQJrFmzRqycUQb19fVERkYSEBAg9rlbW1tz8+ZNyTTExMQQGhpKTEwMISEhFBQUEBcXR2FhIXp6enh6euLn58f333/PZ599JpmuxwkKCmL69OmMGzeO6dOnN6keycjI4IsvvuD8+fMkJiY2GemnaC5cuMCvv/4q7py1b9+e8ePHiwkYeFSRJVUFj3zT4pdffmHp0qUUFBRgaWmJoaEh8fHxFBUVsWTJEhYvXixpcrKoqAhVVVUMDAyajJyT/47Z2dns3LmTbt26NUmAS01VVRWnTp3i/v37BAQEkJiYSH5+Purq6lhaWuLq6oqjoyP9+/dX2DPiiy++4PLly2IgGRcXh4mJCf3798fW1hYXFxdsbGxwd3dX+prov6WwsJCFCxdy5swZ1NXV0dfXp7S0lPz8fHx9ffntt98UWq0bGBjI4MGDxck1BgYG6Onp4ezsjJOTE7a2tpiZmWFra4ujo+NzP/6/2wwrKSlBW1tbKb/r5s2bcXJywsrKCiMjIzQ1NdHR0aF58+aSJYteBe3PEUEQkMlkCILwzBNKyt3R+/fv89VXX5GZmYmVlRVVVVWoqalRV1dHfn4+a9euxcTEBGdnZ4XOfPwrVq9eTUlJCR06dKBNmzY4Ozsrtfz222+/ZdWqVRgbG5OVlUXXrl3ZunUrCQkJ7Nixgxs3boglPN26dVO4nuTkZObMmcPVq1fR1tYmPz+fuXPn8vnnn7N8+XISEhK4desW1tbWxMTEKFzPvyM7O5tt27aRmJhIaGgoqampVFVVoaenh4ODgzhusE+fPpLsHMs5duwYkyZNQk9PT3QwLiwsFB+MR48elcxY8HF+//13RowYgYuLC2PHjqVnz57P3Y31n1JaWiq2N/j5+XH+/Hlee+01jhw5omxpf8nTSt5zc3PJyMggPT2d1NRUMjIyiIqK4s033/xHfgEPHz4kNzeX7OxsUlJS+Oabb+jduzeVlZWUlpaKc6CDg4NfqHGN06ZNY9u2bYwaNYqBAwdiZ2eHhoYGeXl5LFiwgC5durB161aFmeo8DXmvqiAIkhqQ/jsaGxtpaGigoaGBsrIyKioqyMnJITY2lsjISKKioli3bp3SWiB++OEHbt++zeHDh9HR0Xni/bS0NEaNGsXMmTObjOdSNL169eL27du4uLiwevVqevbsKWnS4FnU19cTERHB5cuXCQgIoKSkBG9vb9599118fX0lX4csWbIEKysrcXMiJycHNTW1JmszKZMb/w21tbWEhYUREBCAv78/165d4+2332bjxo0KOZ58PnxeXh4JCQlERUURHh5Ofn4+5eXlNDY2UlhYyKlTpyQfDfk8KCkpEZ+38fHxGBgY0Lt3b3r16oWxsbHCqjwf/+/m5eUREhJCSEgIDx8+JD4+nry8PBobG6moqGDatGlNTPIUiVxXZWUlPj4+bN26VfLEVU5ODlZWVqiqqtKsWTPs7Ozo0qULFhYWtGnTBkdHR8zMzDAwMFCo0eeroF1B1NXVoaGhQW1tLdevXyciIoL8/Hz8/Pz4448/JJlNOm3aNM6cOcO6deto27Yt1tbWNG/enCVLlvDgwQMuXLigcA3/jilTphASEkJNTQ11dXU0b94cMzMzPDw86NatG4MGDZJskVtXV4ejoyM//fQT/fr1Y//+/SxYsIDRo0cTGRnJ0KFDefPNN9HX18fNzU2S5Mu6des4dOgQ27Ztw9LSkjFjxuDn58fbb79NXV0d7u7ujBo1Cjc3txdmcfs4FRUVZGRkEBERwYMHD4iIiODWrVt88MEHbNmyRTIdjY2NBAQE8Msvv+Dv709aWhoqKiqMGDGCKVOm4O3trRS/h507d4qmQtbW1mLpY9u2bfHy8sLOzg4jIyOx3UDRNDY2smfPHhITE+nWrRsDBw5EVVWVlJQUysvLJTNffF5s2bKFoUOH/mU5aW1tLQ0NDc+tXSM0NJQ33niDO3fuUF5eTnZ2Nunp6ZSXl0vWFvXvePxcX758Odu2bSM7Oxt9fX00NTUpLCzkjTfeeGYAKIWuPxMeHk5SUhIRERGMGDECd3d3STQ1NjaK7SFPQyaT0dDQIPb5Kos33niDDh068O233zb5u3yJV11dzcSJE/Hy8uKLL76QTNfWrVu5f/8+kZGRREZGUltbi4GBAS1btqRdu3biPG1fX1+FP8MEQeDhw4e4uLj8pYeJMoJjR0dHFi9eLLZ9TJ48mf79+zfx1dm+fTsdOnRoMidaGchkMmQyGYDk/hJ/hXz0pryqdeTIkUrxqvmn5OTkUFxcjJmZ2RNtI1IY/D3r3BcEgYSEBAIDA7G3t5dk4+px0tPTsbe3Jzk5WWmGn6WlpaSlpbFhwwZ2795Nq1atSEtLo66uDjU1Nfr3788ff/yhsOO/CtqfI5mZmVy7do3KykrS09O5evUq0dHRmJqaYmRkhIqKCm3btmX79u2S6AkJCWHlypWkpaUxduxYBg0ahIODA/369cPb25s1a9Yo3ZhOPtc4OzubzMxMMjIyyMjIIDU1lfz8fN555x0WLFggSSnM/fv3GTJkCJmZmTRr1oyoqCg8PDxYvnw5ixcvVvjxn8agQYPw8fERF2Ljxo3j4cOHrF27ll69eilF0/NAntRSNNnZ2RgYGDwz6JWXSir6QfgsBEGgoKCAjIwMgoKCCAwMFHs/CwsL0dbWRhAE9u7dy9tvv61wPUuXLmXPnj3o6emRnJzMyZMn2b59O+fOnUNdXZ1+/fqxZs0ahZTFKQJVVVVCQ0PFXuPPPvuMqVOn4uDggCAI4qiuf+rn0dDQgEwmQ1NTkx07drB3717u3bv3PP4JkpCbm0tQUBDh4eE0NjbSu3dvunbtqhQtNTU1otlnZmYm58+fJykpCW1tbYqLi4mPj8fPz0+ywMXPz48ePXpgbm6Os7Mzvr6+dOrUiQ4dOrxQ0wDs7OzYsmXLX44ubNeuHXPmzOGDDz6QTFdtbS11dXVUV1dTVlZGZmYmsbGxhIWFERkZSVJSEpmZmWRnZyvcyC8+Ph4vLy+srKxEd253d3e8vb3x9PSUxAjvWWhra3Pnzh18fHyARybCe/fuZejQoeI6zcbGhl9//VWy1ryn8edn5eNryLt375Kenk5ERASzZ89WWgXny8qZM2dYvnw5UVFRaGhoYGRkhI+PD3PmzJE8QL506RK3bt1CXV0db29vOnbsiJWVlaQa/sytW7d4/fXXxUk2UiIPleXn+ubNm7ly5QonT54EHsV/AQEB1NbW8t577ylMx6ug/Tlx6NAhNmzYQMeOHXn48CG2trZMmDCBmzdvsmvXLu7fvy/5bFSAsrIyjh49Ks77XLp0KT179uSHH35gzJgxSgtW/orS0lKys7PFG9jp06clGZ23adMmdu7cSVhYGABnz57liy++EF8DYnZZqiy8g4MD69evZ9iwYQD4+vry4YcfMmPGDFHPi1QuV1dXx/bt26murqZfv37iwjo8PByZTEbbtm0lTRK99dZblJeXY2dnh42NDS4uLrRs2RJbW1usrKxemB2CPyOTycTS29u3bzNy5MgmM6IVQX19Pfb29nz//feMGjWK3bt3s3z5cnx9ffn4449JTU1l8eLFLFy4kMWLF79Q593TyM7OxtnZmcLCQnFMjKWlJeHh4eIs3KKiIlq2bElWVtZzq+iR75Tt2rVL7J1XtIHPf8vRo0cpKCige/futG7d+plJCymfD+Xl5YwfP16cFR8YGIiNjQ19+/bl22+/ZfXq1fTu3VvyXcaCggJu3LhBeno64eHhREZGkpiYSFlZGQCtWrXC09OT999/XyFzi/9TVFVVGTZsGH379sXd3R0nJydMTU2bVJDo6enh5+en9IqZxsZGZDIZtbW1VFRUUFRU9ISxkyIoKCjg8uXL4si5pKQkUlNTKSkpQSaToaGhgbW1NcOHD2fWrFkK1yMnPz8fa2trysrKaN68OTU1NVhYWPDgwQMxMVRaWoqhoSElJSVKby8oKioiJCSE2tpa4uPjOX/+PPn5+WhpaVFQUEBRURHJycmS+rG87Bw+fJiJEyfSp08fBg4cSHl5OWFhYfj5+ZGRkcGGDRvEdZ8iycjI4J133iEgIAArKytxrLC1tTXTp09n4cKFCnkunDt3js2bN/P666/j5uZGy5YtMTU1RUdHp0mgvGbNGpKSkp7rsf8b5Bs9w4cPp2XLluJ0H6l4OSyAXwIyMjIIDAykX79+XLx4UdwZvnbtGm5ublhaWiolwNLT02PSpEl4eHiwdu1aOnfuTEFBgehqrOyAXR4EA+LC9vGRa1lZWezatUuSoD0uLo7s7Gw+//xzHB0dOXXqFEZGRmRmZmJgYIC2trbkv5+8DCciIoJOnTqRnJxMq1atxOz2ixQ4VVVVMW/ePP744w/09PT49ddfOXjwIB988AExMTEYGxvz0Ucf8dlnn0nW8tC9e3fi4+PJzc0lOTmZS5cuIQgCLVq0wNDQEGtraywsLPj0008ln57Q2NjI7t278fT0xM7ODkNDwyau+9bW1lhbW9O3b19J9ISFhVFbW8u4ceNQVVVl0KBBLFiwgDVr1oh9ujKZjAMHDvDVV19JoumfEBQUhImJifidRkREoKWl1WQ3LyYmhurq6n90PgYHB9OiRQuxly0sLIzJkycDvLAu+3fu3OHIkSNiabeJiQktW7bEx8cHX19ffH19sbe3l/T58ODBA37//Xfeeecd5syZQ+fOnYFH3++mTZuYNWuWGNBLmQAxMTHh7bffRiaTUV1djYqKChUVFcTHxxMTE8OWLVs4duwYWlpaSgvaq6ur+eKLLwgKCmLVqlXk5OQgCALm5ua4uLiIbTcVFRWSBuxHjhzh888/Z+DAgbRr14727dvj4uJCixYtUFVVRV1dHR0dnSemLCgKExMTcResoqKCqqoq4NG9ITQ0lEuXLnH58mWMjY0lDdpDQkLQ09MT7xepqaloa2s3qeSIjY1FS0tLqQF7ZGQk8+fPx8DAgKqqKsLCwujYsSOOjo5cvXqVvXv30qlTJ8nn27/s5Ofns2zZMr799lvxPidHJpPx6aefsmjRInr37q3Q5H1mZibTpk2jurqaq1evoqurS1VVFcnJyfz+++8sWrSI/Px8Vq1a9dyPLQgCRUVFbN68mbS0NBobGzExMcHFxQUvLy98fX05ffq00ltD5ERFRT1R/ShFkvvFXFG8hHz88ceYmZlx5swZZsyYwZQpU2jXrh0BAQHiglcZAZZ8gdO5c2eOHDnC7du3+eabb3jrrbd4//33mTJliliOpQye9p3IDX/kzqBSLRzbt29Peno6AQEBXLlyhdzcXDQ1NZk6dSrGxsbY2tqiq6vL6NGjJemnqaurY9WqVQQEBHDw4EFWrlxJVVUVo0ePplWrVnh4eODt7Y2Xl5dkgd1fERgYyNWrV9myZQve3t58+umnDBw4kA4dOrBs2TJOnz7N6tWr6dq1a5MRdoqipKSE999/H0tLS7EsMy0tjeTkZNLS0sjKyiIxMZG4uDiWLFmicD1/JiUlhSlTpqCuro6qqirW1tbimDVvb2/atGmDhYUF+vr6krSH3L17lzZt2ojXW0REBK1ataJ169aim7GVlRU1NTUK1/I8uHPnjhj4Afj7++Pk5ISmpqaYLX/w4ME/Ng4bO3YsWlpaODs707p1a2JjYykuLiYoKAgjIyMMDQ3R0dF5oQL4GTNmMHnyZLE1IyEhgbi4OK5cucLPP/9MTU0NxcXFREZGSrIDCtCxY0c2bdpEUFAQFy9eFOdph4eHY2pqikwmU8qMcTlqamro6OiQmppKWFgYly9f5ueff8bU1JRJkyYxffp0pegCaNGiRZNe9oKCAhISEggLCyM4OJi7d+8SHR0t6fg+eOTT0a1bN6Kiojhx4gT5+fkAWFpa0qZNGzp27Ii7uzv9+vWTfIyTjo4OVVVVXLp0ieDgYE6cOEFZWRmTJ0+W/LeMjY2lrKyM2bNnY2NjQ0REBDo6OkRGRmJiYoKFhQXh4eFKb0s6e/Ysly9fZvr06cyZM0dsJ9ixYwfu7u6iwaGy2y5fNgICAqirq2PGjBk0a9ZMNOKUm3F+/fXXxMXFcfjw4Sc8K54n58+fp6CggF9//bXJvaJHjx588MEHrFu3jp9++olJkyY9d4O/QYMGibPpi4qKSExMJDw8nKCgIIKCgjh27Bi5ubmsW7fuuR73P0EQBEJDQ3FzcxM3d4qKipq0qDY2Nr4K2l8mDA0NmTBhAu7u7vz444/07duXTz75BH9/f6WZD8kX2o2NjcCjXowePXpw8eJFjh8/zldffYVMJmPnzp1K0Xf79m1UVVWxtLTEwMAAXV1dMYDR0NCgpqaGoKAgRowYIYme8ePHM378eGQymegu/fDhQ6Kjo0lNTSUpKYmkpCTxxqJoNDQ0mD9/vvi6tLSUzMxMgoODCQ0NJT4+nnXr1qGlpUVUVJQkmv6KK1eu4OzszNChQ4FHu9wPHz5k69atmJqa0q9fP/Lz8zl69KgkQfumTZvYs2cPSUlJ6Onpoaen1yRAEwSB3NxcSkpKFK7laTg5OdHQ0EB2drY4Sio4OJhTp06xYcMGqquraWxs5O2335bEqT0yMpLc3FxOnjyJt7c3Fy5coHXr1qiqqoo70RERETg5OSlcy/MgODiYyspKwsPD8fLyIjw8XOwLlCdB7t+/j6+v798+hkwm48cffyQjI4OrV6/yxx9/oKury4YNG/j555+xsLDAxsYGJycnvv766+fy7/qnFBUV8f3337N3717xb/J5uGVlZRQWFpKTk0NSUpKkO2ba2tpMmDABExMTtm/fztmzZ/nhhx+4ceMGvr6+aGpqKiUYqK2tRRAEDh8+zNGjR8nMzCQrK4v27dvz66+/0rJlS1xcXCTV9GfCw8PR0tISd2ZNTEwwMTFpkrSqr6+ntLRUUl3du3enS5cu1NTUUF5eTkFBgfhcDQ8P58KFC3z33Xds27aNjz/+WOF6qqurqaio4Pbt22zcuJGUlBQ0NDSws7Nj9erV9O3bt8mOt1S4u7szZswYMjIyCAkJobCwkNraWmbPno2BgQFOTk6cPn1a6T42H330EWpqaoSHh3Py5EmGDBlC69atCQoKavJceBWw/3eEhoaK5ohPC/z09fXx9fXl/v37CtVx7do1fHx8xIC9sbERFRUVGhsbUVNT45133uHcuXOcO3dOYa78giBgZGSEkZERHTp04KOPPhLfS0tLe8KYTwri4+Np3749hoaGGBkZYWlpSVFREdevX6d79+44OTlJtsH4Kmh/DpSXl7Np0yYWLlxIx44dOXbsGP7+/qxcuZLy8nKOHDmCtbW1pKNgwsPDmT59Oh999NETM3jlF5+joyNFRUWSafozkyZNQiaTif3Gjo6O2NvbY2BggCAIHDx4EFVVVfr37y+JHvlYJjU1NRwcHHBwcGjykKysrCQ/P1/sh5WCx0cEytsG3NzcGDt2LImJieIYiheBgICAJgY54eHhdO/eHVNTU+rq6tDU1ERfX18yN9eYmBgGDBgAPPoe5TzeY2xhYSFZaeafuX37Nk5OTmIZ/OMjTCorK8UFnFTjtgwMDNDR0WHNmjWoqKiIs2/nzp2LjY0NPj4+nDlzhtGjR0ui55/i4eHBqVOneO2116irq6O8vFxcWHp7e9OzZ09CQ0OZN2/e3z6GmpoaJiYm6OnpMXXqVOBRsjQmJoawsDCio6OJjIwkOzv7ufybngd37tzh6NGj7N27V2zZUldXx8DAAAMDA0nvb4/z8OFDXF1deeedd3j77bfZsmUL48ePJyMjg/Hjxz8Xw8D/lpKSEmbOnMn58+dxcnKie/fujB07lrfeequJuaWyvUU+++wzxowZIwbt4eHhWFhYYGZmJn6mrq5O8t1seHSNaGtro62tjYWFBR4eHgwaNIja2lpqa2uprq6WpOS7qqqKWbNmia0M48aNY968eXTp0kUp34scQRDo27evWC1XWlpKamoqsbGxPHz4UJyYUFZW9pcmg1JgYmLChAkTOHnyJHv27OHChQusXr2aBw8e8P777wOvdtn/Dnp6ejQ0NJCeno6trS319fWoqakhCIJ4X0lMTFT4vbmoqEicyiE3agVELfJKO0UEp/J76NPOnfz8fOrq6igtLVXK88nc3JyLFy+Sn59PfHw8SUlJaGpq8sUXX1BeXo6mpia6urq88847fP/99wrV8sqI7jlw4cIFZs2aRVxcHA0NDWLGpaysjAsXLrB161bU1NSYMmVKk/EdiuTtt9+mZcuWzJkzp0lQIs/izZ49m0GDBkkWED+NzMxMbt68SWhoKJGRkaSmplJaWoq2tjZaWlpoaGiwceNGOnbsqDSN8KjUUFNTk9zcXCIiInjrrbckPX5+fr6Yeb9z5w537tyhoqKCkpIS/Pz8WLZsmVLKu/+Mk5MT/fv3Z/To0Xh4ePDaa68xdepUce4sPHIvnjp1qiS7Km5ubsyaNUsMpp6GPJOsjEVG9+7dee+995g+fXqT7Prji56MjAz09fUlCdzl81dzc3OfOvtWEATu3r3L3bt3m+zgvaikp6eLO8fZ2dmkpaURExNDbGwsGRkZlJeXU1xcTGxs7N/eUZaP1Ozbty+LFy9+IngrKSmhWbNmko5N+3csWbKEyMhIfv/9d/Fv8tI+QNKWpMcxMTEhNDQUa2tr8fyvqalh7dq1HD16FGdnZyZNmsQbb7wh2fV69uxZhgwZgrW1NV27duW1116jU6dO6OjoiCNUXwRatGjB+fPnRe+Xli1bsmrVKt566y3xfjJ16lQ++eQTvL29JdWWlZVFXl4e1tbWT3UTz8zMxNraWuE67ty5Q8+ePXFycmLAgAE4OTnRsWNHdHV1MTQ0xMLCQpI2pKch93wxMjJ6ZvInKysLY2NjyRNXz6K0tJSffvqJDRs2UFpaqtQpOy87qampdOvWjVGjRrF27don3r937x6ffPIJX331lUIrT1esWMEff/zBzZs3n3otlJaW4u7uzuHDh+nevbtCNOTn59OiRQvCw8O5fPkypaWlpKen4+/vT21tLXl5eQo57n9KfX09FRUVlJWVUVxcTE5ODunp6Tx48AAvLy+Ft9a8CtqfA0uWLMHf358rV64gk8mecAoODAzkq6++QlVVlbNnz0qiydzcnMuXL4ujjv7MypUrCQ0NZceOHUoxNrlz5w7Hjx9/4gZVWFhIUlIS1dXVdOnSRdKHaGNjI3V1dTRr1gx/f39u3LhBeXk5GRkZ3L59m4yMDEaPHs2vv/4qiZ4NGzYQFBSEmpoaISEhJCUlMWzYMA4ePMjw4cMZOHAgXbt2xcnJ6YVYPPr6+lJbW4uWlhYGBgbcvn2bIUOGiKNC7OzseO2117h///4zz8vniYGBAUOHDqV79+6Ym5tjaWmJqanpC9NjvGrVKtavX09gYCCWlpZPjBSJjo5m8ODBHD16lPbt2ytNp3z2bVZWFrGxsQwfPvylnH1bU1NDZWWlGKzn5eWRnZ39RCXSf8Po0aNxdXXliy++aLKYllfIfPnll4SGhvLLL79IVjHx75Cbpa1fvx59fX0MDAyUqgcemYC6u7tTWVkpBi3yipiqqipu3rzJunXriI2NJSUlRTJd9+/fZ/v27dTW1lJeXk5eXh719fW0aNECfX19rKysMDIyYtCgQUobw1VTU4OOjg5ZWVnizrq+vj537twRTedqa2tp0aIFaWlp2NjYSKKrsrKSXbt2sXHjRtFX5/vvv8fGxoa8vDx++eUXgoODSUtL48aNGwrXEx0dzcaNG8nLyyM3N5eqqioaGxvR09PD2NhYbNPr2bMnb7zxhsL1yMnNzWX48OG4urpiZWWFtbU1lpaW4vPK2Nj4hbhGH+fxxHJBQQErV67kwoULtG/fnqlTp9KlSxclK3z5WLduHfPnz8fLy4vhw4fj7u6Ora0tISEhLFmyhLfeeotVq1Yp9FxISkrC29ubPn368P333+Pm5oaKigr19fWoqqoya9YsAgICuH379jPH6P4dIiMjOXPmDNXV1YSEhHDr1i3c3NwoKysjJSWFSZMm0aNHD9q2bauUMZs5OTn8/PPPvPnmm89cu9bX1yOTyRS+Fn8VtD8H+vfvT8+ePZ/Y7fzzLl5xcTGGhoYK15OUlISPjw9JSUnP7P+IjIxk5MiRxMbGKlzP01i8eDF+fn7cuHGD2tpa1NTUlBpEnT9/nri4OC5cuEBgYCDOzs74+Piwc+dOOnTowJIlS3ByckJPT0+SRU99fT2ampp06dKFCRMm0KdPH5ydnWlsbERXV5f79++LZUwvCoWFheIObWxsLFlZWaSlpVFRUSGWWkVEREhiZFZYWIipqSne3t4UFhYiCAK6urpYWlpiZ2eHo6MjdnZ2mJub8+abbyqtnK9Xr16YmJhw/PhxcZe2traWX375hZkzZ9KvXz8OHz78QiRlXiZCQkI4ffq06FatqJ5jKysr9u7d+8xFfmJiIlOmTGHlypX/qHf+edKmTRsqKytxdHREU1MTU1NTbG1tcXJywtnZGWdnZywtLSXd0Tt48CA//PADERERz/xMYWEh58+fF82upKSqqors7GxSU1NJTk4mPT2drKwsioqKiI2NZeHChYwbN05yXfDIYHHw4MEUFBQAkJycjK+vLwkJCejr66Oqqkp0dDRt27aVdL7xgQMHWL16NR07dkQQBPbs2cOgQYPo2bMnmzZtomXLlqioqPDOO+9IUnn1OBUVFSQnJxMfH090dDQJCQnk5uYSHR3NzJkz/1HLzH9LRkYGy5Yto6CgQHxeqqiooKOjg42Njdgy6OXlJZm/z7PIz8+npKQEJycnsWRaRUWFsrIyrly5wg8//EDz5s25efOmUnW+rMjNepOSkqipqaGkpAR1dXXGjBnDDz/8IEk/98mTJxk7dix6enp06NABV1dXampqOHPmDOXl5Zw4cYKePXs+12OOGjWK48ePi61H3t7eODk5MXr0aPT09JTmuyVn9uzZpKens2fPHrF9V44gCPzyyy8MGjRIkvjuVU/7cyA7O5v169cTHx+Pt7c3vr6+uLu7P3GBSfGDwqNyM0dHR7Gc6mn9dgkJCUp1gQ4MDBQv/McXh4IgiMkOKUs0J0yYQPPmzfnhhx/YvHkzJSUltGvXjrCwMEaMGCF5L5lMJmPZsmWkp6dTVVUl/n55eXk0NDSgpaX1wvWOGRsbY2xsTKdOncS/yWQyUlJSSExMJDY2VrJFY2BgIA4ODoSEhFBZWUl8fDwRERGEhIQQFRVFQEAABQUF2Nrain3vUiL/7TZt2kSfPn04cOAA48aNIzY2lhUrVnD06FGWL1/OzJkzX5hyyJeJffv2sXHjRrGHvbGxEQsLC1q3bo2np6dotiOvcPg715E8s25qavrM/4aJiQnR0dFYWlr+43/T80JuYFlTU0NaWho5OTkEBQVx69YtGhsbRfPSY8eONemJViRRUVHk5uayZcsWzM3NadmypTgGUY6xsbFSAvb6+npxOoDcLVtOYWEhaWlpSvMBgEcJKiMjIzIyMrC0tOTu3btYWVk1+e4ePnwo+Tl47NgxevXqxYYNG4BHAd+ZM2fo0aMHe/fuxc3NTVI/Ebkjt3wKgKen5xPj74qLiyXfPLCxsWHHjh3i65SUFNLT00lKSuLixYucOnWK1NRURo8erdSgPTIykpUrV9KjRw+xnUh+z9PT02PIkCE4Ozu/UP4dLxtDhw6lXbt2REVFkZaWhr6+Pp06dRLvL1K4k7/11ls8ePCAvXv34ufnx9GjR6mvr6dXr14sXLiQtm3bPvdjDhgwAB0dHXHcqK2tLfCobUDKqpenUVhYyKlTpzh9+rRY5fD4s15FRYU//viDqqoqJk+erPA1+aug/TkQExPDRx99REZGBlu2bCEzM5Pa2lqMjIxwcXHB19cXNzc3Jk6cKElZqb29PWpqahw/fhxPT88nAvby8nKuXr0qeW/b48jLbCsrK1FRUaF58+ZiW4EyDH3mzJnDyZMnuXv3Lr179xYX+7GxsUpxBm7evDlz5szh6NGj7Nq1i5MnT/LNN99QW1uLmZmZeFN70ZCXOmpqamJvb4+vr6+42JXSP+HmzZvig05bW5u2bdvStm3bJrth8vJoZSC/sXt6ejJv3jx++OEHsrKyOHToEIIgcPnyZYX1jP1fwMfHh1atWmFvb0///v1RU1MjISGBpKQkQkND2bp1K8nJyezYsYOJEyf+rWMUFxfTqlUrzp8//8TsWHkmPioqirKyMkl6dv8T4uLi0NbWZsaMGeLfqqurxZ7/lJQUUlNTm5RaS8H9+/fR1NTkxIkTlJeXi+ZlJiYm2NjY0LJlS8zNzenZsydGRkaS6QoPDxerAFRUVNi9ezdWVla0adMGBwcHMVGpTOLi4khISGD8+PE4ODgQHh5O8+bNuXjxIoaGhrRs2ZKrV68qZLH9VwQGBjbp70xNTeWbb75h7ty5YtubfPSiFDwr2CkqKhLntZ89e1Y0VJOKP38HDg4OyGQyIiMjRYMyW1tbpRuAbty4ES0tLXHyizxRKQ8kt2/fjp6eHh988IFSdb7s2NjYPFHNuXHjRmpra1mwYIHCjpuRkYGGhgYmJia0adOGH3/8kaqqKhoaGhTeQjtx4kRMTU1ZuXKlaEC6cOFCkpOTld5qERwcDPCXLZ2vv/46p06dkqRi6FXQ/g+Ji4sTDdNkMhlVVVUUFRWRnp5OTEwM4eHhBAcHc+zYsb80xHpeCIKAnZ0dAwYMYPny5dTX1zNq1CgsLS1p0aIFenp6rF27luvXr/PNN98oXM+zyM3NZdGiRezZswdXV1c8PDxwdXXF1tYWU1NT9PX1ad68uWS7jIsWLWLw4MGsWLGC1q1bM27cOMaMGUN1dbXkix05Ojo6TJw4kTFjxrB69WrGjh1LRkaGOLbqRdplh0cmJlu2bKG0tJS6ujpxh+rdd9/lu+++w9zcXJJMMTzKjj6+uBAEQXSQlyfOzMzMMDMzU0rFwq5duygsLKRTp04MHTqUq1evsmLFCiZOnMiXX34paWDyv8jo0aMxMjJizZo1nD59mo8//pi5c+dSU1NDQkICOTk5JCQkNHHs/28xMzOjb9++rF+/noEDB+Lq6ir2+amoqFBeXs7WrVuV1uv8NG7duiW2Wsj77lu0aIGTk5NSR/k9ePCAPXv20KpVK+Li4khNTSU9PZ3s7GzCwsK4f/8+aWlp/Pbbb5JdG2lpaXz//fe4urqioqJCamoqU6dOxcXFhcbGRjQ1NfHw8GDv3r1KMzADWLhwIV27diUiIoLw8HAEQSA7O5vJkyejq6uLk5MTFy5cYNWqVZLqKigoID8/n6ioKKytrcnIyKBv375Nviupv7f8/Hx0dHSIi4vj/PnzJCYmUltbS0hICA8fPsTGxoYpU6ZIpkcQBNTV1SksLKSwsJCzZ8+KHgr6+vp4eXlx8uRJ3N3dle4jcvHiRXbu3CneJ+TPTPnzXFdXl8OHD9OrVy/s7e2VpvNl489eNvL1yuPO8YcPH37uJel/ZvHixRQXF+Ps7IyFhYXYQmhhYYEgCOjr6yv0+EOGDGHIkCEcPnyY1atXs379evLz85U62QEebcpaW1tTUVHxTEPZ2tpaiouLJdHzqqf9H3Lw4EFWrFjxzDnZjY2N1NTUUF1dLVlGXh6EzJ49m507d2JsbIyLiwsGBgYEBgaSkZHB5s2bmTx5slL6yOPi4vD09OTQoUMEBATw4MEDoqOjycvLQ01NDQsLC5ycnPDw8GDz5s0K1yMvyZffIK9fv86OHTt4+PAh8fHxREVF4ejoqJTg7vHWhsLCQn766SeOHz9Op06dmDx5Mp07d1a6oRrA6tWrWb16NePHj6dz587o6uqSn5/PnTt3xJ7f/fv3S2Z66Ofnh4ODA9bW1k8kCqqqqtDS0iI+Ph4zMzOFP4yexqRJkzhx4oS4wyM3QJw+fTqdO3cW+4qtrKxeuOTMy8bmzZtZt24dBgYGfPXVVwwZMuS5/bdTUlJ49913ycjIYNKkSeIs14SEBPbt20deXh6bN2+mT58+z+2Y/4SrV69SWlrKiBEjmtzP5MsAuYO8lNVONTU1aGtrU1xc/MT9oaamhpycHDIyMkhLS2P48OFoaWlJomv//v388ssv/Pzzz5ibm3P06FHmzZvH1q1byc/P58GDB/j5+bF+/XrRtf1FoaKigujoaMLCwoiIiCA4OJht27ZJ5oOSlZWFjY0Nzs7OGBsbY2JiwoULF1i2bJlouGZiYiLOY1Y0cqOrxMREzp49i7a2Nv379yc4OJjIyEi2bdtGjx49UFdXl3SEamNjI2vXrsXf35/Lly9jY2PDmDFj8PHxoVevXs/V7OufUFtbi7GxMYGBgc8cXZyfn0+nTp24e/eu0saovuzI16Jy1NTUqKyspGXLluzcuVOhbZrr1q0jMDCQ7OxsysrKkMlkaGpqYmBggJmZGTY2NhgaGjJ9+nSF3YMf90jYuXMn+/fvx8HBgfnz59OlSxelJK6OHTvGjz/+yMaNG+nUqZO4VpPJZKirq1NfX8/YsWMxMDBg+/btihckvOIfsWTJEuG9994TBEEQamtrhYaGBiUr+hfl5eXClStXhAULFgivvfaa4O7uLowfP17w9/dXqq4DBw4I7u7uT/y9vr5eCA0NFXbu3CmMHTtWGDp0qKS6ysrKxP8fFxcnLF68WPD19RWGDRsm3Lx5UxAEQWhsbJRUkxz5ccvLy4VTp04Jffr0EUxNTYW4uDil6HmcmpoawcHBQdizZ88T79XW1gpXrlwRtLW1hePHj0uurb6+XhAEQYiIiBC2b98ubNmyRZg5c6bQunVrQUVFRYiPj5dck5zGxkYhNzdX8PPzE/bv3y/MmjVLaNeunWBoaCioq6sLKioqQlJSktL0vczU1dU1eV1WViZs3rxZGDJkiLB8+fLneh0HBQUJw4YNE3R1dYVmzZoJKioqgoaGhtC1a1fh8uXLz+04z4PS0lJh1apVQmJiorKliDx48EDQ1tYWBEEQGhoaBJlMJshksic+V1xcLKmu8ePHC1OnThVfL1++XJg8ebL4uqioSHj//feFb7/9VlJdj1NXVydcuXJFCAsLE9LS0oTS0tIXZg2SkpIinD9/XlixYoUwduxYoVu3boKdnZ1gbW0ttGnTRujUqZMwf/58SbQsWLBAUFFREVauXCmkpKQIycnJgiAIwvr164WuXbs2+ayUz/jg4GBBRUVFUFVVFZYvXy5ER0cLJSUlkh3/PyUxMVHw8PAQrly5IgjCv56rj/PgwQNBT09PamkvNfX19cKePXuE8PDwp36ngiAISUlJgpqampCdna0wHaWlpUJUVJT4Oi0tTbh+/bqwdetWYe7cucJbb70ldO3aVWjXrp1Cjh0TE/PU8z46Olr44IMPBF1dXeH7779/7sf+TygtLRVcXV2Fd99996nPpV9//VVo27at8Pvvv0ui59VOuwKRyWTiDoYyd0PlO4svCtOmTSM3N5fjx49TV1cnzgVWxmxgeDR7ct++fdy8eZOGhgbefPNNcbZ4YGAgK1as4NSpU2zdulXS0rm/oqqqil9//ZUxY8Yo3Vk8MDCQgQMHkp2d3cRR9vEd4tmzZ5OamtpkNrSiqKys5OLFixQXF3P58mWuX7+Os7MzWlpaXLt2jZEjR9KvXz9cXV3p1auXwvX8t9TV1ZGdnU10dDRvvvmmsuW8tGRmZpKXl0djYyN+fn4cO3aMO3fu0KlTJ+7du/fcK2fy8/OJjo6mtrYWFRUVunTpgra29nP77z8PvvnmGy5fvsz27dufuut69+5dvL29JdWdn59PXFyc2PbzNA4dOsTly5fZt2+fZLq6devG4MGD+fzzz4FHI8NkMhkeHh5i9c5rr73G4MGDmTt3rmS6HsfPz4/+/fvTrVs3dHV1sbGxEb0czM3NMTIyQk9PD11d3Rdi17a+vp74+HgiIyO5desW1tbW4verSG7dusWqVatQV1fnk08+EVun3nvvPTQ1NSU9rx4nMTGRpUuXEh8fT1hYGDKZDAMDA5ycnGjbti3t2rWjdevWuLq6Ym5urhSNACUlJYwdO5ZmzZo99RleV1fHt99+y8WLFwkICJBe4EtKQkIC7du3R0NDg/r6eszMzGjdujU+Pj74+vri4+NDYmIiAwcOFKvyFMHevXv57rvvSEhIeOZnqqurycnJwdHR8bkee926dSQnJzNnzhzxv52UlMShQ4eoq6ujT58++Pn54ezsLLnfhJyjR4/y4YcfiuM9PTw8sLGxISIigu+//55Zs2bx5ZdfPrN8/rkiSWrgf5gxY8YIY8aMEZYvXy4cOXJECA0NFUpLS5WqKS8vT1i7dq3g4uIiODo6Cp06dRI+/vhj4erVq4IgKG+3WM7XX38t/Pbbb898v6GhQdi9e7cQHh4uiZ758+cLRkZGQtu2bYX27dsLqqqqwsqVK5vs1h09erRJJvIV/2L//v1Cly5dhIaGBqGhoeGp59e+ffsEb29vSfT89ttvgoqKitClSxdhx44dwtWrV4WoqCjh4MGDgp2dndJ3ogIDA4V58+YJZ86cERISEoTq6mql6vlf4+DBg8IHH3wgzJw5U+jRo4dgZWUljBgxQli1apWwc+dOISgoSBAE5d8Hpaa2tlZo1aqVcOvWrWd+pkOHDk+tmJGCxsZGQSaTPfV3ef/994U333xTUj2jRo0SZs+e/UTVhny3pbi4WDA3NxersJTBvn37BBUVFcHQ0FB47bXXhK5duwrm5uaCjo6OYGFhIXTo0EEYMGCAsHv3bkl1zZ49W7h06ZL4Oi8vT6itrZVUw5+prKwUVq5cKZiYmAi+vr7C/fv3BWdnZ2HXrl1K0xQTEyMUFBQIgvDofAoKChKrrnr27CnY2NgIKioqwpQpU5SmUX49HjhwQNDV1RU+/PBD4ebNm0JaWpr4meXLlwseHh7Cjh07lCXzpaSqqkoICQkRrl27Juzfv19YvHix8Pbbbwvt2rUTLC0tBQMDA0FFReWplanPkylTpghjxowRBOFf9+GGhgahvr5e4eultm3bCj/++KNQVVUlCMKje4WXl5fg5OQktG/fXrC1tRUCAwMVquE/wd/fXxg+fLjg5OQkmJmZCc2bNxeMjIyEzz//XNQuBa+C9n+ATCYTpkyZIowcOVLo3bu34OvrK7Rt21bo1KmTMGjQIOHjjz8Wtm3bJly9evWpZRWKICMjQxg6dKigrq4uDB8+XJg3b54wcuRIwdHRUVBRURE+/fRTSXT8FY2NjU8shB6noqJCaNasmXD48GGFa6mrqxMMDQ2Fo0ePCoLwKGHw9ddfC/b29mIw9X9tcf/fcu7cOcHT01Pw8/N75mfmzJkjjBgxQhI9165dEwYMGCB8//33TcrLN2zYIPj4+Eh2LT6L3377TTAzMxOMjIwEFRUVQV9fX2jbtq0wZswYYe3atYKfn5+QkZGh9OTCy4qHh4egoqIiuLm5Cfv37xcqKyuVLemF4P79+4KFhcVfBk+HDh0SBg0aJKGqp5fa/vn99u3bCz/++KNEih7x888/C7q6umIp9dPet7e3F8rLyyXVJaexsVFoaGgQTp8+LUyfPl346quvxHafjIwM4dSpU8KyZcuEXr16CatXr5ZUm4GBQZNkxsyZM4Xg4GBBEP6V9Pjjjz+atKQpksfvpYWFhcLnn38u9OzZU1BRURH27duntGfCm2++KZw5c+aZ78tkMiE9PV3IysqSUNXTdQiCIKxbt06wt7cXrK2thY4dOwodO3YUzMzMBF1dXeG7774TampqlKrzf4Ha2lohOztbCAoKEs6ePSusWbNGOHXqlEKP2aFDB8nvr4Lw6N/aokULISUlRfzbl19+Kbi5uQlhYWFCenq6MHDgQGHkyJGSBsZ/Rn7+l5SUCPfv3xeOHTsmXL16VaioqJBcy6vy+H9IQ0MDhYWFZGZmkp6eTkFBAampqeTn51NUVMQff/yBlpYW+fn5kuiZOHEiaWlprFmzBm9vb7EENDs7m02bNvH999+zZ88ePvzwQ0n0/B3S0tJo3bo18fHxT4y+eN4EBgYyePBgcnNzxe8qMjKSDh06UF1dLZnb+cuK/Dvr0aMHhYWFbNmyhfbt26OlpYWKigqqqqqcPn2ar7/+mrlz50o2DiYiIoKvv/6a69evM2jQIPbu3cuHH36Ijo6ONGYh/4a6ujpKSkrIysoiMjKSsLAwMjIyePDgAYmJiQDs2LGDSZMmKVnpy8eSJUuIj48nOTmZxMREsezQ0dERDw8PunbtioeHxzMNlf5X2bdvH1u3buX27dvPNPQ5ePAgGzdulLTEdf78+ejp6WFvby+OOzI3NxfnjDc2NmJmZsbx48clbWcpLCykX79+pKenM2vWLLp06YKFhQWampoEBwcza9YsPvnkE6VOYZFz//59Vq9eTUBAAKNGjeK7776TbPLKn6mpqUFLS4vc3FxMTU2BRxM7Hjx4II5NqqurQ09Pj4SEBIU/4+HROk3esqWqqkppaSkXL17kyJEjZGVl8e677zJt2jTJ3exVVVXx9/enY8eOkh7371JTU8Pt27e5cOECDx8+RBAEvLy8ePPNN+nTp8+rtdLfQCaTUVBQIMYPxsbGtGzZssn9T3jMSV4RWFlZ0blzZ4YNG4atrS1WVlYYGRmho6ODpqamwo4dERHBoEGDiImJEeOkN954gzFjxjB//nwAbty4weTJk4mPj1eIhr9C+IsWusrKSmpqakhJSaG6ulqyEb3Kt51+yWnWrBnm5uaYm5vTrl07GhoayMjIYP369Vy4cIGGhgaFOj7+mdOnT/Pbb7+JM9jlJ5ylpSXfffcdBQUFnD59muHDh2NgYCCZLjkVFRVkZGRgbW2Njo7OUy+IlJQUZDKZJA/zoKAg0blYTU0NPT09srOzxbEmrx5Cf43899uxYwdvv/027777Lq+//jpeXl40b96cq1ev8scff/Dpp58ydOhQSTQJgoCnpycnTpwgKCiIn376iddee407d+6wYsUKSTT8OzQ0NMSRc23btmXs2LFcvnwZJycnjh8/Tlxc3Asz2/tlY+HChdTV1VFVVUVWVhbJyckkJCQQHx9PQEAAJ06cIC8vj+LiYqX7QUhJ8+bNqa2tJSYmpsnM2ccXJn5+ftjZ2UmmqaqqisDAQGpra8V51Xp6epiammJhYYG1tTWqqqoUFRXRrl07yXQ1NDRgbGzM77//zty5c/nxxx9RUVHBzMyMiooKCgsLmThxIkuXLpVM09OQ77l07NiRo0ePEhoaypdffomrqyuffPIJn3zyCVpaWpJOAwgLC8PAwEAc1ZSQkIC+vn6T8yo5OZnGxkZJnvHQ1FNI+P/jq9555x169erFpk2bmDdvHidOnODmzZuS6IFHI/E0NDSaBOyNjY2ie7g8waDs6SHyoNLc3JzmzZvz+uuvi54A8MhZXlNTE5lMpkSVLyfV1dWsWbOGtWvXiiPD9PT06NChAzNmzGDw4MEKv3blEzqio6O5ePEi1dXV6OjoYGtrS5s2bfDw8MDNzQ1ra2u6dOnyXNfE1dXVmJqacu7cOd5++21+++03CgoKGDZsmPiZzMxMSe9fcuTPRZlMRmlpKS1atCAkJIQ//viD8vJyiouLuXv3LikpKaxevfpV0P6yce7cOe7cucOdO3e4f/8+HTp0YOnSpfj4+Ei22CgsLKSurg5PT89nfmby5MkMHz5caXNlT506xbhx47CyssLe3h4vLy/atm2Lh4cH9vb2mJmZER4ejoODgyR65FURH3/8MTo6Ori7u3PlyhX09PSIiYnB2NgYQ0PDF2Ks2otMmzZtOHDgAHv37uXatWucOnWKyspKXFxcWLNmDVOmTJEsQJJnplVVVWnfvj0//vgjR48epb6+njt37nD9+vUXYgRXSUkJ2dnZbNmyhTt37lBbW4uqqiqjR49m/Pjxkl0D/2vo6emRmJhIZWUlbm5udO7cmdraWmpraykrK6OgoIDS0tL/UwE7wNChQ1m6dCmrVq1i7dq1GBoaoqamJgYFV69eJTAwkOnTp0umSUtLi1u3bpGbm0t8fDyxsbFilURwcDC3b9+mpKQEe3t7dHV1JdEkCIJ4v7e3t+fAgQMEBwdz7949cUzkiBEjaN++vfh5ZQVWjx83JiYGIyMjZs+ezfTp0/n888+ZNm2a5Atef39/cba9XJeVlRUGBgZi5VpQUJBkScndu3eTlJQkJpMfHzFnbm7O8uXL+eijj4iMjJREj5yoqCjq6uo4cuQIbdq0wc3NjWbNmr1wGwUBAQF0794dExMTbGxs8PX1pVu3brRp0wZ3d3fRtFIZgdXLTE1NDd999x0//fQT06ZNY/DgwdTX1xMUFMTZs2cZOXIku3btUnhVbGhoKObm5kRHRwOQl5dHaGgo9+7dIzAwkH379pGWloaOjg5lZWXP9dgdO3akU6dOLF68mBMnTuDn58f7779Py5YtgUfJ03v37uHr6/tcj/ufoKKiwu7duykqKsLf359Lly7h4uJC586d2bp1K8OHD2fdunV4eXmJFUWS6HpVHv/3iY2NZd++fZw7d45mzZrRokULunfvzuTJkzE1NZVsJrWcqKgo3n//fdauXUufPn2QyWSoqqqKAQzAvXv3GDBgACUlJZJqk1NTU0NYWBgxMTE8ePCA0NBQ4uPjKSgooFmzZtjb2xMfH8+wYcM4efKkwvUEBQVx+fJl0tPTSU1NpaCggIKCAgAcHBwwMTFBXV2d+fPn07ZtW4XredloaGhosvCHRw7BpaWlqKurU1dXh6mp6QvRZnDv3j1Wr17NyZMn6dOnD1evXpVcQ1VVFbdu3SI2NpYjR44QGBhI37596dy5M927d2+yg/GK/57c3Fx+/PFHjh07hpqaGi1btuSrr76SLAv+ovPrr78ydepUOnbsyKhRo2jVqhUqKioEBwfz/fffM3jwYH744QfMzMwk0VNZWflMp3qZTEZqaioJCQnIZDIGDBggiSaAI0eOYGdnh6en5186AivzvlZQUMDFixfx8/OjsrKSyspK/P390dHRYciQIbRs2ZIpU6ZIrnH69On89ttvzJw5E3d3d3755RcqKys5f/68+Jkvv/ySsLAwTp8+rXA9n3/+OT///DPl5eVUVFSgra2Ns7Mz3t7edOrUiW7duuHu7i55Yn716tUsXLgQFxcXcnJyxEoOV1dXfHx86NChg7iZoczEUFlZGYGBgSQlJZGSksKBAwfIyMigWbNmNDY2YmVlhZWVFRMnTuTjjz9WisaXkRs3bvDJJ5/w008/PXFvKyoqYuHChZw8eZKwsDCFVqSsXr2aX375heDg4L+8V6Snp2Nra/vcj5+cnMymTZu4e/cu7777LhMmTBBjp19++YVNmzYxe/ZsRo8e/dyP/VfU19ejqamJl5cXCxYsoG/fvlRWVmJjY4OZmRm3bt3Cx8dHUk3wKmj/R+jq6lJVVcXAgQPp27cv48aNE0vClEFlZSVjx46lrq6Os2fPPvF+WVkZK1eu5P79+1y5ckUJCp+OIAjk5OQQGxtLeHg49+/fZ8yYMZIu0uQUFxeTlpZGbGws0dHRJCcnEx4ezoEDB546Iun/OidOnGD//v14eHhgZmZGq1atcHZ2xtLSUvKkFUBISAj37t2jU6dOODs7P7UF5Nq1a5w9e5Y1a9ZIru/EiRO8/fbbAHz66afMnj0bKyurJz6nzEXay8wXX3zBmTNn6N69O+bm5uzbtw8DAwN+++03WrVqRWNj4xPjCP+vIP+3b9u2jfXr15OUlCT+TUtLi8GDB7N582ZJ26ZWrFjB1atXcXd3x8bGBmdnZ5ycnHB0dFRK+5YcDw8PMjMzaWxsxMDAAGdnZzw9PenQoQPt27d/IfwQli5dyrJly+jUqRNWVlb07duXESNGYGlpqdRkwtq1a7l06RIymYyqqirS09PR1NTEzc0NU1NTPDw8WLVqFTNnzuSzzz5TuJ6qqirKysooLCwkOzubuLg4IiMjyc7OJjw8nOTkZODRjuPjbSOKZuDAgTg4OPDZZ58RHx9PRkYGiYmJxMbGkpSURF5eHhkZGXz99dd8/fXXkul6Fg0NDTRr1owJEyYgCAJffvklcXFxxMTEcPPmTV577TVmzpypbJkvDUuWLCE8PPyJxJX82i0uLmb06NH069ePhQsXKkzHnDlz0NTU5IcffhDbbWQymfh7/7m1RMpn57Zt2ygoKGDq1KmSx1aVlZV89dVX5Obm0rNnTzEhVVxcjLm5OXFxcUqphnwVtP9N5KWXFRUVWFhYYG5ujq6uLo6Ojjg5OWFtbY2VlRXGxsa4uLgoXI/8Yvr999957733cHNzY9KkSbi7u2NgYICKigpbtmzh9u3bfPPNN4wcOVLhmp7GsWPHsLCwwNLSEn19fbS1tdHQ0FBaaVVOTg7Hjx+nuLgYV1dXMaB6xX/Ghx9+yM8//8ybb76JqqoqhYWFqKurY2xsjLm5OXZ2dpiYmPD6668/9/meT2PTpk2sXLkSAwMDBEHA0NAQe3t7XF1dcXV1xd3dHRcXF6W1O2zYsIEVK1bg4OBAfX092traODo64ujoiKenJ56enjg4OKChofEqcP8bODs7s3DhQqZMmQJARkYGXl5enDhxgt69e7/6Th/j4cOHpKWlUVtbi5GRET179pRcw7p167h37x6VlZWUlpZSX1+PqqoqJiYmeHl5MXv2bExNTSX93RobG4mKiqK4uJjMzEwSExOJj48nPj6e9PR0SktLUVVVxdLSkqioKEk0PY0JEyawf/9+sbTawMAAU1NTnJ2dsbKywszMDENDQ2xsbJ5pPKgoKioqyM7OJi0tjdTUVFJTU8nIyCA/P5/KykqCg4O5cuWK2GIgNVVVVRw8eJDr169z/fp18vLyKC0tlawFAx5V8m3evJlBgwaJf6urq6OyslJMMiQnJ+Pt7S2WCysTeTDp6+vLpEmTmDp1qvie3OjvVYn8f87o0aOxsbF56uaBPGAePXo0dnZ2rFq1SmE6/P39MTY2plWrVk+8V19fT11dHcXFxRgZGaGlpaUwHS8qhw4dYuXKleTl5bF27VpkMhlLly4lPj5eKYnRV0H7PyQrK4uQkBBCQ0N5+PAhCQkJ5OXlIZPJUFdXx9PTk1OnTkmiRb6wOXfuHEuWLCEyMhIdHR0MDAzIzMxEV1eXrVu3MmrUKEn0/JnS0lIMDQ1RVVVFX18fJycn2rRpg6enJx07dqRHjx6SXgQZGRl8+umnHDlyBAsLC3JycujWrRvHjh0Ts3ovghHMi8zBgwdZsGABampqjB49mo4dO5KZmUlUVBTZ2dlUV1eTmprKrl276Nu3r8L1VFVV8fDhQ5KSksjIyCAjI4PMzExycnIoKSmhsbGRgoIC9uzZw8CBAxWu589kZmYSHx9PVlYWWVlZor7c3Nwm+nbt2iWpgeX/Curq6uTn5zfZpdXV1eX27du0bdv2hWjTUAZHjx5l7969dOvWDRcXFzw9PXF2dm4SzCnru2lsbBR3FVNSUkhNTSUqKoqbN2+irq7OhQsXsLe3l1yXnIaGBjGQqqysFAP5srIyFixYoDRdjY2NYu9/UFAQUVFRpKSkUFRUhIqKCiYmJqipqXHgwAHJKgNkMhkymeyZSYKCggIyMzNJTU1l4MCBkiZPMzIyyMnJYfPmzdy7d48WLVqgra3NW2+9xdixYzE3N5dMCzxaW0RERODu7v5SJBPlgaSJiQknT56kR48eypb0UvP111/j7+/Pvn37xOoYQIwdALy8vJg/fz7jx49XuJ6Kigp0dHTIycnh4sWL5Ofnk5WVRVBQELdv3+bBgweSmoEqmz8/Dw8cOMC+ffsICAjA1dWVq1evoq+vL/m1+ypo/5vU1NQ808iooaGB+Ph4goKCqK2t5aOPPpJE07x585gwYQKenp4UFRVx//59goODycvLo02bNowaNaqJCYuySElJ4cGDB9y7d4+goCCio6PJz8/H1taW1atXS5ZU2LhxIzt27GDZsmUMHTqUEydOMHfuXLFs+WV4kL4IVFVVsW3bNu7evUvbtm358MMPsbGxoaqqiszMTOLi4ujevTv6+voK17Jp0yZGjx4tGoPU1NRQUlJCXl4eOTk5ZGdnEx0dzdSpU18Io7fa2lqKiorIyckhJyeHgoICoqKimDJlyguh72UiISEBFxcXjhw5grW1NY6OjshkMtzd3cnIyJB0F+1F49ChQxw8eJDa2loKCgqora1FQ0MDW1tb2rdvz4QJE8SJGVLyV/fY/Px8hg0bxpAhQ/j8888l0yTfFfby8nrinJEvbAHR7f5Fo6ysjJiYGMLDw/H392fVqlXi+ChFc+bMGWbMmEFqaiqAOALXx8dHKQmh/Px8bt26RUREBGfPniUyMpL+/fvTp08fOnXqRJcuXSTXBI8Cgnv37tGtW7cmf5fJZGKJsqqqqtITjA0NDVRUVIhJUEEQMDIyIiUlRQxY5MHmq132/464uDi6dOnCjBkzWLx48ROJrh07drB27VrOnj2rsHtzXV0dR48epbS0lJiYGM6dO0dtbS1t27bl3Llz4rXSoUMHevfurfTzURnIg/eGhgYiIiLYv38/9+/fp2PHjsybN0/SaSvwKmj/22zZsoXQ0FBcXV2xsLDAxsYGS0tLLC0tnzCukSL4Ky4uxsfHBz09PWbPni1ZouB5kZWVxVdffUVUVBRHjx6VZBTMoEGD8PHx4dtvvxUvzAEDBtCmTRt++uknMbP8imcj/97Kyso4f/48O3fuRFtbmw8//JC33npLUi2VlZV4eHjQunVrFi1aRI8ePV64hYR8UfZn875X/HNu377N8OHDcXFxQVVVFTMzM2pra7l37x7fffcdDg4OWFpaYmdnh7GxsbLlSkp9fT2FhYUUFBSQnZ1NZmYmWVlZJCQkEBkZKVZhSdHK9TTkEx/kyK/bjRs3cvToUW7fvi2ZlkWLFhEWFsYPP/wg9jifO3eOgwcPUl5ezltvvcW4ceNeiIBdHjSpqalRXl5ORkaGUvvtly5dyt27d7l06RIAe/bs4eTJk5w5c6ZJJWBSUhIzZsxQuJ4FCxbw008/oampyZw5c5gzZ47kO+pPIy4ujkuXLuHg4ICTkxO2trYvZFLRz8+PGTNm4OHhgZOTEyUlJfzyyy/4+flhb2+PpqamsiW+1KxcuZKlS5fi7OzMa6+9hp2dHWpqakRHR/Prr7/yzTffMG/ePIUd/9q1a/Tr14+2bdsyevRounTpgpOTE/fv32fatGnk5OQo7NgvOlVVVU9tB6ivr+fw4cOsWrWKyMhIwsPD8fDwkEzXq4jkb5KUlERoaCghISE0NjbSvHlzDAwMsLOzo2PHjowbN05015QiO2VoaMiNGzf47rvvmDJlChs2bGDx4sW88847Cj/23+HP80itrKzEXtQrV64ofMwFPOrplJtLyBeMRUVFODs7A7wK2P8D5Oe2np4eo0ePZuTIkcyZM4f33nuPwYMHc+zYMWQymSTBs4aGBhs3bmTt2rWMGDGCMWPGsGjRInG0kEwmE2ffKounfQ9xcXEEBweTn59PaGgoycnJXLt2TQnqXm66d+9OQEAA8fHxREVFiW0ILVu2ZNeuXWhoaFBbW8u4ceMUuhB6EVFXV8fCwgILC4smC4ySkhJSUlIYO3YsBw4cYOnSpZIluh5PZj/rmiwvL3+mu7yiOH36NIsXLxaNR8PDw5kyZQrW1tYYGhoyadIkampqmDZtmqS6nsbjpornzp1j8eLFxMfHIwiC+P1Keb+7e/cuHTp0EF/funXriSB5z549yGQySYL2pKQkzMzM8PHxITw8nOnTp2NnZ4e1tTUtW7bExcUFKysrSarAHuf+/fusX78ec3NzBEFAR0cHU1NT7OzscHJyolWrVtja2mJvb6/UxLOWlhbt2rWjurqae/fuUVBQgI6ODpMmTUJXV1f0bRo0aNCrcvn/AnlcsGjRIpycnNi6dStHjx4Vp/GYmpqybNky5s6dq1Adurq6DB06lB49ejBs2DDRO+HatWvo6+tTV1cnuR/Gi0BJSQkfffQRv/766xP/fnV1dcaNG8e4ceNYu3btU70AFMmrnfZ/gEwmIy0tjfj4eGJiYoiPjycyMpKgoCC8vLz4/fffleImHxMTw9KlS/H39+f1118XM6VqamovRMm3PGCXLyge19OpUydmzJjBuHHjFK5DVVWVPn360LdvX9zd3fH19aVjx44cPHhQkv7rl53KykpUVFQoLi7m7NmzBAQEoKGhQXFxMefOnWPo0KEcPHhQKb2y27dv54cffqC4uJhZs2Yxbdo0pe+wVFVVERERQWJiIlVVVVy5coXg4GCqqqpQV1dHU1MTS0tLRo0a9UIEBP8rlJaWkpCQQFJSEoGBgfTp00cpkymUiTyIe7z09vH77u+//y76oEjFvn37qKurw83NDXNzcwwNDdHW1kZNTQ0NDQ2ysrKYOHEiPXr0YPHixZJoqqurw8jIiOjoaHG80YwZMwgPD+fq1auoq6vz9ddfc/fuXU6ePPmX4+CkQl4RtmjRIuLi4jhx4oTStFhbW7N582aGDx8OQPv27Zk4cSLTp08X1x6+vr5MmTKFyZMnK1xPVFQUSUlJxMXFkZWVRU5ODoWFhVRUVFBfX4+GhgZ1dXWcPHkSS0tLheuRk5WVRXJyMpmZmeL/ZmVlUVJSQlVVFaqqqhQVFbF06VKlbrykpKTg4OBAVVUVOTk5ZGZmkpKSQlJSEpmZmRQVFREbG8vChQslWbP9L5OYmEhiYiJqamr4+vpKlkgKDg5m6dKlBAYGMnz4cLZu3cq8efPIzMzkyJEjkmh40Th79iyjR4+moqICePQdTZ48mXv37qGuro6Kigo5OTncvXuXESNGSKrtVdD+N/mr4DcxMZFhw4Yxbdo0SRff8kWZ/IZ/4sQJtmzZQrNmzVi4cKHSndEzMzPFXc+nkZ+fT7t27bhw4YLCx6vV1dWxceNGAgICiIiIIC0tjZqaGgRBEAN4b29vvLy8XgXwz2DZsmVs3LgRXV1devfujampKaqqqnTu3JkePXrQokULWrRoIWnQ/viufmVlJZs2bWLPnj3Y29szf/58evfurbSSvrlz5xIREYGmpiZ1dXX06tWL4cOHM23aNCwtLcUH5P9Vs7TnhZ+fH8nJyeLkDnnlzCueRH69nD9/npkzZ5KQkCDZsXv37s2tW7dQUVFBV1cXBwcH2rRpI0532L17N+3atePHH3+UzD07MjKSQYMGERgYiJmZGZmZmfTt25cFCxYwefJkGhsbCQgI4L333iMlJUUSTf8O+f3irbfeol27dnz55ZcAklU4PY6qqippaWlie5ulpSUXL17Ey8tLTNYbGhri5+cn6Xg1OQ0NDWRnZ5Oeni662mdmZrJx40ZJdfTp04cDBw40aQOsra0lPT2dtLQ00tLSCA8PZ9KkSbi5uUmq7XFUVVW5fPkyr7322lPfl1fq2Nra/p9rOfonfPrpp1RUVNC3b198fHxeiOkA9+/fZ/ny5SQlJREdHc2XX37JN998o2xZSmHp0qXcu3ePixcvAo/8BbZu3UpISIgY+23cuJFdu3YRFhYmqbZX9b9/E3nA/rgRBzwqf3V2dmbcuHGcOnVKsqBd/uCW6zIyMmLSpEmMGDGCefPm8c4779C+fXuOHTumFCfezMxMbG1tMTc3x8rKCk9PT9q1a4evry+urq4UFhayYMEC2rRpI8k8dA0NDebPny++LisrIy0tjZiYGPz9/YmPj2fdunVoaWkpdazPi8y+ffuQyWS0atVK3EHx8fHB0NAQQ0PDf1v6qghUVFTEa0FbW5vZs2fTp08ftm7dyrRp0xg+fDiLFy9WiiFjTk4OsbGx7N69m/79+4tGVoIgiCXL8qTbK/57SktL+eijj7h69aro+A2PxsDNnz+fqVOn/p9MiMhbBpydnTExMcHQ0BA9Pb0mozYvXLggeRB148YN4JGrd3BwMP7+/ty/f58HDx6gra3NmDFj+PjjjyV9XrVo0QInJyd2797N559/zqFDh6irqxP9OVRVVYmPj3+hSkbl5/P7779P27Ztxb9LHbBnZ2cD0KFDB6ytrXF2diY3N5eUlBTs7e3FncPa2lo8PT0VricqKorffvsNHx8fHB0dsbe3R09PD1tbW2xtbenatavCNTyNuro6bt68iaqqqng/Gj58ONu2baNly5YvRAAHj34ndXV1vL29gaeb5BkYGDQ5517xn9HQ0MC9e/c4fvw4BQUFqKmpYWlpiZubG126dKFfv360adNGknWKPH7p2LEjR44c4dixY+zYsYNbt25x9uxZ+vfv/0L4d0iJv79/E6f8+/fv4+vrC/xrwzY0NFS8NqTk1U67gvjuu++4ffs2Fy5ckPS4tbW1aGpqkp6ezp07dygsLKS4uJj9+/eLJU1SloHJKS0t5cqVK+Tm5hIbG0tcXBypqank5uZSXFyMhoYG3bp1Y/369ZKZOvyV0VxiYiI5OTlYWVlJMl/8ZUMQBFauXElqairFxcWUlpZSVFREY2Mj2traGBkZYW1tjYWFBZ9++qnku9vy66CgoIDIyEhu377Npk2byM/PJzY2VvI+JHh0Tu3cuZMbN27Qq1cvFixYgKmpKSYmJuzatUssKX3Ff09ubi7z5s3Dz8+PBQsWiM77SUlJ/P777/j7+7N27Vpxfvv/JSZOnMjRo0dFAz47OzscHR2xtLRERUWF33//naqqKj7//PMmM6MViSAIVFdX06JFi2dWrCmrn3LFihXs2LEDbW1t8vPzWbRokeiBUFJSwoIFCxAEgd27d0uu7T8lOzubgwcPMn/+fMmSVCUlJVy8eJHCwkJiY2NJSkoiLy+PxMRE6urqMDY2Rk1NjaKiIoqKihSu59ChQyxfvhwTE5MmfeM2NjY4OjqKfeOOjo6S+tc8ePCAN954g/z8fFRVVUlKSqJ9+/YkJSVhYGAgBsaP+xUog8DAQF5//XVKSkqe+Rm5geSLZvj6olNTU0NVVRVFRUXk5+eTnJxMdHQ0WVlZ+Pv7Ex0dDTyqPlVGBUNQUBDr1q3j9OnTdO3alfPnz0uuQZk4ODiwfv16hg0bBoCvry8TJ05k2rRpYtDu4+PDlClTmDp1qqTaXgXtf4OzZ8+iqamJi4sLJiYmTzgMFhcXM27cODp06MDXX3+tcD0lJSX8/vvvlJaWEhwczK1btyguLsbS0hJBENDX16dv377069fvmWVOUlJVVUVlZSXFxcUUFRUhk8nQ1tbG0tJSNGaR6mGVn59PYWEhtbW13Llzhzt37lBRUUFJSQl+fn4sW7aMJUuWSKLlZaWoqIjMzEyys7NJTk4mJSWF7OxscnNzkclkopOwIpHJZERFRREWFkZRURFhYWHcuHGD/Px8LCws0NTUxMzMjA4dOrBy5UqF6/krbty4wbfffktAQAAffPABe/bsITMz84UYx/iysnfvXrZv386GDRvo2LFjk/fKyspYsmQJ58+f5+7du+I4wP8rNDY2EhcXR2RkJKGhoURGRpKUlERNTQ3a2trY2dnxySef8Oabb0qmKTExkWvXruHj4yPuYNTX15OWloaampqYdFFGiTfA4cOHiYmJ4Y033sDX11fcaTpy5Ai7d+9m1qxZDB48WHJdf8Xjz83jx48zatSoJlWAUh1bJpNRVVVFaWkpJSUlFBcXk52dTUpKCuHh4Xh6evLZZ58pXNOL2je+ceNGjhw5wp07dwA4deoUixcvJjw8/JmeE8pgz549TJ8+nXXr1mFgYIC1tTWmpqYYGxujq6v7yjn+OZOTk8P27du5ffs2YWFh6OjokJycrFRNJ0+e5I8//nihE5SKQO53JR8N+e6773Lo0KEmz0h9fX1u3bol+W77q/L4v8E333zDgwcP0NDQwMzMDFdXV7y9vWndujXNmzdnw4YNGBkZSTZv/ObNm8ydOxd9fX2cnZ2ZPn06rq6u6Onp4enpKdmM1r8iPz+fTZs28frrr9O9e3e0tLSeuniWqnx1w4YNBAUFoaamRkhICElJSQwbNowjR44wfPhwxo8fz/bt25Uyu/hl4PFFmpGREUZGRk1KHhsbG8nLy/vLLP3z5OLFi7z99tvY29tTXl6Os7MzH3/8Ma1bt8bAwIAOHTpI7kL9ZxoaGoBHvby9e/fm6tWrrFixgtraWnbv3s2YMWOwsrJSqsaXlYsXL9K+fXs6duwoBiqPTzaYM2cODx484OTJk+LEiP8rqKqq4urqiquraxNfk/LycrKzs7GyspLcUO3gwYMEBATQqVMn8W9Hjx7lp59+IiIiAnd3dzZu3Ej37t0l1RUQEICvry/vvvvuU9+XyWRMmjSJ3r17S6rraTxuLPjnXdmYmJgm5Z2KRkVFhfj4eMzNzdHT00NXVxddXd0mPdt1dXWUlpZKVj0xZswYDhw40GQW+tP6xqUc1wQQERFBbm4uJ0+exNvbmwsXLtC6desXrm3n/v37yGQy1q5dS0VFhbhms7OzE0fVGRkZ0b59ezHJ9or/nIaGBqKjo4mPj2fLli1ERUXh6OiItbU1W7ZsYciQIUrTJl+Ha2ho0KdPH6XpUAb19fVs3ryZ69evc/DgQVauXElVVRXvvvsurVq1wsvLCwcHB8rLyyVp8/kzr3ba/waCIJCXl0dcXBwhISE8ePCAiIgI0tPTkclkDB48mEWLFknSmw2PHtCpqam88cYbT33/RZg3PnfuXHJzc1mzZo1YASBHRUWFzZs38+abb0piGlVfX4+mpiZdunRhwoQJ9OnTB2dnZxobG9HV1eX+/fuS/XYvI/KAvaCggMOHD7N//35kMhn29vb06NGDkSNHSu6bEBsby8WLF+nevftTF6sxMTEkJydjZ2f3wvy2giCQkZHBqVOn+Pnnn7G0tGTRokV06dJF2dJeOnr37s2IESOYNWvWE4k/+fnaq1cvRo0aJcmoqZcNqaeKdOzYkbFjxzJjxgxUVVUJDAxkzJgxeHp68sEHH/D9999jZ2fHzp07JXNRLioqol+/fty5cwctLS0EQSAqKoo2TaoSQQAAavVJREFUbdq8UAFVUlISxsbGf/m9DB8+XGy7kYrOnTuTlJSEtbU19vb2eHh44O3tjaenJy4uLpJ+h3V1dTRv3pyMjAwsLCya9I1bWFhIpuNpLFy4kMuXL6OtrY2KigpxcXGYmJjQv39/bG1tcXFxwcbGBnd3d6X2Erdu3Zpvv/2WUaNGER8fT0REBGFhYURERJCUlERZWRnp6ekcOnTohR0t/CKSkJDA+fPniYyM5M6dO+Tn5/POO+/Qp08fvL29JfM0eHws5LPu/V26dKFXr15Kr06UkpSUFAoLC2nfvj3wqFIvIyODsLAwgoODxWo1MzMzyU3o4FXQrhDkvXpSk5SURHFxMdXV1ejo6ODg4ICBgYHkOv5MXV0drVu35tdff6Vz585P/cwnn3yCq6srM2bMUHg5ZE1NDatXryY9PR13d3eGDh2Kg4MDOTk52NvbExMTg4ODg9LL015kUlNTGT16NEFBQfTq1QsTExPS09MJCwujefPm7Nu3j8GDB0seDFRVVZGSkkJtbS337t3j1q1bVFRUUFpaqtR2B0EQRF+Jbt26iQm2hIQE0tLSKCgoYOnSpbz//vuv2jH+BnPnziU6OvqpHiKCIFBXV4eTkxNHjx5tsvP2f4FTp06JUx5GjhzJ22+/TfPmzYFH59/evXvR1dVl0aJFkmkyMjLiwoULYivD1KlTyczM5JdffkFXV5fr168zd+5cjhw5QuvWrSXRdO7cOcaOHSv2WwcHBzN27FhCQkLEUuC4uDi2bt3K2rVrJdH0NNq1a0doaChWVla0atWK9u3b06FDB7y9vWnVqhVqamp4e3szc+ZMJk2aJJmuM2fOkJWVRWpqqtgmlZ+fT0NDAyoqKjg5OeHs7Mz69esVvj56kfvGGxsbqaioIDc3l4SEBKKioggPDyc/P5/y8nIaGxspLCzk1KlTkp37T0OeTJMHL3+msrLy/7V33+E13///x+/nZMree0lIghCxZ6m2trZ2W5QqVV20Wq2WtpTSQVWpUqs6fKpFjZpFrdiECDJlJyKRnUhyznn//vDL+Up1fj7NOYk8b9fV63IGHkVy3s/36/V6PomJiSEoKEg6x/8D/fv3Z/fu3bi5ufHqq68yefJko+8CrHZnIV9aWkpoaChLly5tUP12XnvtNW7dusVnn332h9evOp2O4uJig91QvpNsj/8vZWdns2/fPuLj43F1dSUiIoKWLVtib29v8IJdo9EwZ84cli9fTl5eXo2unk899RQjRoww6h3bixcvUlZW9off/OH2CJSVK1cyZcqUWs9jaWnJ1KlT2bhxI6tWrWLLli3Mnj2biooK3Nzc9PN5xR+bOnUqtra2JCQk4Orqik6no7y8nKtXrzJ79mxGjBjByZMnDbZ96NNPP+X06dOYmppy4cIF/XGHjRs38uijjzJu3DijHneYPXs2a9aswc7OjoULF7JlyxZWrFjBrl27sLKyYtiwYRw6dEgufv5LTz/9NOHh4UyZMoWXXnoJX19f/TxVlUrF3LlzcXBwMOiW4bpg7dq1fPjhh7i4uJCQkMDOnTvRarX4+fkxZcoUiouLsbOz03dHN4SioiI8PDwoKioCbl8obtu2jblz5+ovXkNDQ0lOTjbocZE7OwTD7cKvUaNGWFhY6C/efvnlF3755ReDZfo9GzZsICUlRV/sHT58mK+++oqbN29iZmaGj48PSUlJf3iDvLZUb+e9desWhYWFKIpCRkYGZ86c4cKFC3zxxRccPHiQlStX1nqW48eP19ghER0djbe3N/b29jWOzxjjxrxarcbOzg47OzuaNm1Kv379gNs7AAsKCsjIyODKlStGbYCbn5+Pr68voaGhwP8Vc3eeuW/UqBHNmzc3+NGa+u7WrVuEhITQpEkT9uzZw8GDB/Hy8sLb25smTZrod1rU5vc+nU7H+vXr8fPzw9vbG3d3dxwcHGrcxCotLeX69es1vic2BAcPHtQ3oNNqtb+7S1mtVhulYAcp2v8rS5YsYd68eeTn5+Pi4oJWq0WlUvHggw8yZ84cAgMDDdZAR6PRsHTpUhYsWMCLL75Iv379UKvVXLx4kR07djB+/HhKSkqM2jU5Li4OLy8vioqK/rAo0Wg05OTkGCyTjY0N48ePZ9SoUXz88ceMHj2a9PR0/SqcrLL/sdzcXH799VdOnjxZYxt8dXfeX375hc6dO/Of//yHsLCwWv+zrKqq4uWXX9Yfd5g1a5b+uMOmTZt47733jLolvqqqipUrVzJ//nyGDx/O6tWrGT16NO3ateO7777j2rVrvPnmm3h4eOhnLIt/JiwsjGXLljFt2jQiIyO5//77CQwMJDc3l61bt5KYmMjKlSuNsgPKmNasWcPIkSN59tlnycnJoU+fPrz88sv06tWLl156icaNG9O8eXODThQxNTWlR48efPjhh7i7u/Pll19SUVHB8OHDaxRZFhYW2NraGizXiRMnahS6p06d0t/k0el0mJiYcObMGaPf+AkJCSEkJITevXuj1WopLy+nsLBQ36k9JiaGzMxMg5/VrmZpaYmlpSX79+/n4sWL/PTTT0RGRtKjRw/GjRtnkAz15dz4nczMzHB1dcXV1dXoY9TUajXLly/X30T7vR0Ju3fvZtasWZw5c8YYEeutL7/8krS0NGJjY8nIyCA7O1u/66J6LriJiQkHDx6stcW2pKQk3n33Xby9vbG2tsbV1RVPT0+8vb31IxGvXbuGWq2u0ZeiIUhMTGTo0KEA+oJdURS0Wi1w+2vBqI0iFfGPLF26VPHz81PeeOMN5cKFC8rJkyeVH3/8UXnllVcUZ2dnpXnz5kpCQoLB8pw9e1bp0KGDsmLFCkVRFEWn0+lfu379ujJ58mTFwcFBycvLM1im39qzZ4/Spk0b5ZdfflEURVEqKioUjUajaDQaRVEUpaqqSpk4caIyYsQIg+aq/v0VRVFyc3OVN998UwkJCVGefPJJ5ciRI0pVVZVB89QX+/btU/z9/X/3tep/f2vWrFHatGljkDzl5eXKe++9pzzzzDPKp59+qly7dk1RFEXJyspSzM3NlaSkpBpfF4Z2+vRpxcnJSdFqtYqiKEpiYqJibm6uXL58Wf+ehQsXKq1btzZWxHtCRUWFsnHjRmXgwIGKr6+vYmZmplhYWCh9+/ZVdu7cqSiKYtR/B8ZgaWmpnD17Vv/Y09NTmTVrlnLr1i0jplKUyMhIJTAwUFGpVEqzZs2U7777Tv9aXl6eMn36dGXw4MEGzdS4cWPl008/VW7evKkoiqK0bdtW/7laLSIiQlm+fLlBc9UHGo1GKS4uVi5evKhMmjRJCQ0NVYKCgpQWLVoos2bNUuLj45WSkhKD5XnttdeU1q1bK127dlW6deumuLm5Kc2bN1emTp2qLFy4UNm+fbty/vx5pbKy0mCZ7gV3fv989913leDgYCOmuXfcuHFDiYqKUrZu3ap88sknynvvvVerv19paamyd+9eZc2aNcr06dOVYcOGKd27d1fatGmjtGnTRrnvvvuUJk2aKK1atarVHHVNZWWlolKplCeffFL58ssvlTNnzijl5eXGjlWDrLT/Q4sXL2bmzJmMGzdOfxesQ4cODB06lJdeeolu3brx3XffMXPmTIPcidm/fz/Ozs6MGjUKqLlC7Obmxttvv82FCxfYsmULTz/9dK3n+T09e/bE1NSUuXPnEh4ejouLS43Xt23bxpkzZ3j55ZcNmqt6J4SiKDg7OzNjxgw6duzI4sWLGTJkCMeOHTPKPO+6Ljc3Fy8vL9LS0vD19UWn0931b728vNxgeer6cYfIyMi7tmo2bdqUkJAQbt26haWlJV5eXty6dcuoOes7c3Nzhg8fzvDhw8nKykKtVuu3cWq1WoqLiw26cmtsN27coLKyssbKcHl5OZMnT8bCwgKtVotWq0WtVhu8UWnnzp1JTEwkJSVFv12/enfajh072L9/PzNmzDBopvT0dNasWaP/vh8XF0d+fj5nz57F0dERJycnEhIS6lyjyNLSUgoKCtDpdJw+fZoNGzbQrVs3gxw1q7Zq1SqWLFlCUlIS/fv3Z+rUqXTo0IGIiIga71MM1ONkwYIFzJw5865z47GxsZw5c6bOnBuvq8rLyzExMbmr0/+df3cXL16ke/fuho5Wr+3bt489e/bQpk0bfQd+Dw8PXFxccHFxMdj4MCsrKx566KEaz1WP3IyPj9c32W7fvr1B8tQVMTExAGRlZbFgwQLy8vLQ6XS4uLgQHBxMREQEbdq0oU2bNkY7ailF+z+Qm5tLRkYGw4cPx8zMTH++R/n/Z338/f2ZOXMm69evZ/r06QaZY3nw4EHCw8PvamRRnc3BwQF/f38yMjJqPcsfMTc354MPPmDw4MG0aNGCvn370r59ewICAjhx4gQffPABU6ZMMdqIi+oPIhsbGx5++GEefPBBNmzYYPRir67q0KEDRUVFfPfdd7z++ut3bTnMz8/n8OHDdOnSxWCZ6vJxh0uXLv3hVs3qhmDR0dEyXvBfUN05/s7t3jqdjjFjxvDcc881qCZ0165dQ1EUmjdvTpMmTXBycqK8vJz8/Hw8PT0xMTExygz0qKgo7Ozs9F3Gf2vYsGF069bNoF2+dTodmzdv5syZM8TFxbF3716sra1ZtGgRa9as0c+oLikpoVWrVgbL9VvFxcWYmJiQnp7Ozz//TFRUFJaWlhw4cIDU1FQCAwP1WQ3p5Zdf5tatWzz22GOEhIQQFBSEubk5ycnJuLu764+lGOr7cH04N16Xvfbaa5ibm+uLSw8PDxwcHLCyssLS0hKtVktMTAzTpk0zdtR65eLFi+zfv5/jx48Dt/+durm54enpSUBAAE2bNsXb25uwsDD9tUFtmDRpEuPHj9eP3Kxunh0UFERQUFCNeeQNyZEjRwgPD2fLli36RpoZGRkkJCQQFxfHr7/+yvLlywkLC+PIkSNGySjd4/+ByMhIxo4dS2Rk5B9+KB46dIgRI0Zw/fp1g2QKCAjg008/1TdO+D3t27dn8uTJjB8/3iCZ/khcXBxz584lMjKSGzdu6L9RvPLKK7zyyisNahWsvnvzzTdZsGABTz/9NCNHjsTHxwcLCwvUajWzZs3i6tWrLF682KCF+519JPLy8li0aBGbNm2iY8eOTJw4kU6dOhll9OGfjfjx8fEhIiKCqVOnMnLkSN566y2D57tX/PajrLpAyM7OxsvLiwsXLhhlrqqxpKamsnv3brKzs7ly5Qrp6elcv36d7OxszM3N8ff3x8fHh9GjRzN8+HCD5erZsyfm5ua4urri7u6On58fjRs31jdFcnNzM1iWv5Kens65c+c4evSovjHdzz//bLQ8Y8aMYdeuXbi6utK2bVvMzMxo3rw577zzDp999hmDBg3C1NQUBwcHg53frqqqYtasWSQnJ5OVlUV5eTmVlZVYW1vj7OyMu7s7Xl5eeHh4MGnSpDp9rlzcNnLkSM6cOUN6ejpVVVU4ODgQEBBA8+bNCQsLw9PTk0mTJnHmzBmj9U6oj4qKikhOTiYlJYWioiKmTp1KkyZNcHZ21jdvzMnJYc2aNXTr1q3Wcpibm3P69Gn9yv7EiRN55ZVXaNasmX731cWLF2nVqlWD6u80evRoHBwcWLp0aY3nq6qqKCsro6ioiOvXr2NpaWm0f/dStP8DMTExPPPMM4wbN46JEyfqG9AB+g+iTz75hO+++47Tp08bJJNareb++++nV69ehIWFERISgoeHB7a2tvoCxt7ensOHDxts682ddDqdfk68Wq2mtLSUlJQUMjMzsbGxITw8XF/sifpl1qxZLFq0CEVR8PLywtramtjYWKysrNi0aRP333+/UXJVb8EsKSnhwIEDLF68mEuXLhntuMNfjfhRFIXIyEgiIyMN3vG5vlMURd8k7I+cOnWKbt26UVlZacBkxnfw4EEaN26Mr68vJSUl5Ofnk5eXR05ODikpKSQmJnL8+HGGDBnCK6+8YpBMFRUVLF26lKysLFJTU8nLy6O0tBSNRoO9vT1OTk7Y2tri7+/PO++8Y5BM1d8vYmNj9dvj8/LysLOzo3PnzjzxxBP60XTGpNFo8PLyYtKkSbzyyivY29vrPzdtbGzYuXMn9913n1Ez3rp1i2vXrhEfH8/Vq1dJTEwkPT2d7OxsHBwc2L9/v1HziX8uNTWVc+fOcfz4cU6fPs3ly5f1TYPvvAYW/5yrqys//fQTTZo0ISUlhZSUFK5cucLzzz9fa5NkcnJy8Pb2pqCgAGtrayoqKnB0dCQmJka/8yQ/P19/I6EhLaZ5eXnxxhtv8NJLL+l37dU1UrT/Q88++yw//PADq1atumtMzs6dO3n//fcZMGCAQc7jVVZW8tlnn3Hy5Emio6NJTU3l1q1bODo60rhxY1q2bImfnx9z5sxBo9EY5R/gTz/9xLZt2+jWrRuNGzfG398fDw8PrKysDJ5F/O9ycnL45ptvePnll1GpVKSlpbFv3z6ioqLIzc0lIiKCCRMm4OjoaOyoemVlZWzYsIFRo0bV6pazf6p6q2ZmZiaxsbE8+uijd50hFH/uwoULfP/997Rs2RJ3d3fc3d1xcnLC3t5e/z1mw4YNvPLKK2RlZRk5rWHZ2dnx9ddf/+4uLEVRqKiooKioCGtra6PNCc7JySEvL4/MzEx2797NiRMnOHbsGEFBQcTHxxssR3p6Oo8//jiJiYmEhYXh5uZGcXEx0dHRFBYW8vrrrzN16lSjfn1qtVp27tzJe++9R15eHq+++ipPP/00FRUVuLq6kpiYiLe3t8FzZWdnU1paipeX1x9OZ8jLyyMvL4/g4GADpxP/jaqqKtRq9R/eDNVqtWRmZsoRwn9I+f9dyE1NTcnKyiI0NFQ/NtdQdu3axcSJE0lPTwduj7Z8+OGHSUxM1H/9njp1it69e1NQUGCwXHWBRqNBUZQ/7dpvqL4cf0TOtP9D77zzDjExMQwdOpRWrVrpz/xER0ezefNmJk+ezDPPPGOQLObm5jXOFBUVFZGamkpUVBRRUVHExcXpz2gY645RdnY2u3fvZtOmTRQXF2NlZaWf/9myZUtatmyJh4cHYWFhdarQE79vx44dvP/++7zyyisoioKvr6/Rj138FSsrK6M1Yfwzd474McYumHvB2bNn+fzzz/XbgV1cXPD29iYgIEB/k/CHH34w6jlkY7l165b+OIBGowHQN+dTqVT60VyG9NtRqG5ubmRlZXH27FnS09NJTEwkNDSUN954w6C5PvzwQ9RqNTt37tSP2yopKSElJYXVq1cze/ZsOnXqZNSVbBMTEwYNGsTAgQP55ptvWL9+PWfPnsXNzQ1XV1dcXFxqzCA3lFWrVrFv3z6aNWuGm5sb3t7eeHt74+Pjg4eHB25ubjg7O+Ps7Gz0C17x1xRFwdTUVP/3dOffWfXOsJKSEmNGrLdUKpX+iF5MTAyurq44OTmh0+n0DX2rR4rVlmPHjtVoMHfx4kUCAgJo1KgRVVVVmJmZcerUqd/tN3Kv+zvHJ439/UtW2v9Lq1ev5qeffiI+Pp7y8nIsLCyYOnUqo0ePxs7OzmA5qree/57ExEQyMzPx9vY2SpOr335A5+TkcO7cOU6ePMmpU6e4dOkSOTk5VFRUsGXLlj89ly/qhhdffJGCggK+/vprfQPG6i3KQI0PeyFq053b1zIyMoiJieHcuXNER0eTkJDA9evXUalUpKSkMHv2bGbNmmXkxIaTkJBAWFjYH04kqP6arb5AN4Tqz4Pqhq7bt29n1apVAHh6ehIREcFzzz1Hs2bNDJqrqqqKpk2bsmrVKh588MHf3RbZpUsXunfvzrx584zSFwPQX0i7u7uj1Wo5efIkX375JT/99BMtWrTgxx9/NGjzvmrr1q3j4MGD5OXlkZubS2VlJaamptjY2OhvojVq1IhJkyY1yEKgPrnzmq2kpAQbGxvS09PZuXMnubm55Ofnc+TIEU6dOsX8+fN5/fXXjZy4/khMTKS4uBgXFxd8fHyYPXs2J0+eZOfOnQbNMXz4cI4dO8a0adPo1KkTH330ES4uLvrvxXB7R3FFRQVr1641aDbx16Ro/weysrIoKCigWbNm6HQ6bt68SX5+PpaWlkbdJnTjxg3y8vKoqKjg6NGjHD16lJKSEgoKCjh27Bhz5sxh5syZRslWfefuz8TExODn59egzs7UV927d6djx476lSkhjCkrK6tGp/g7aTQaEhISOHfuHF26dCEgIMCw4Yxo69atDB48mHHjxuHi4kJQUBBNmjShcePGeHt7G2Syye9ZvHgxe/bs4ddffyUsLIzx48cTFhZm1NFRZ8+epV+/fiQnJ+v7q/z2xuOaNWv4+uuvOXjwoJFSgqOjI++//z6TJ0+u8fymTZt49913SUlJYcyYMbz11lt4eXkZJWNBQQFxcXHExsYSGxvLtWvXyMnJ4dq1a+zfv1+K9nrgp59+Ijs7m5iYGDZt2oSlpSVdu3bl22+/pUuXLgwbNoxOnToREhIiuyP/gX79+rFnzx6Cg4Np3bo1x44dIzw8nLfffhtHR0ccHR2xsrKq9aOjH3zwAUePHqWoqIj8/Hyys7OxtLSkRYsW+Pv706FDB2bMmMHcuXOZOHFirWYR/5wU7X9TSkoKb7/9NgUFBWzduvWu16s7oRvSkiVLOHv2LCYmJpw/f56kpCQeeeQRvvnmGx599FH69+9Ply5dCAwMNOpZ3tzcXBwcHPQrFBUVFUa7aBT/Gz8/PxwdHYmIiMDV1RVvb298fX3x8fHBy8sLV1fXOnVuXNy7Kioq6Ny5M4cOHcLW1hZFUbhw4QKhoaFYWFg06B0fr732Gl9//TV9+/YlIyOD0tJSdDodZmZm2Nvb4+XlhZOTEwMGDDBYwVxZWan/3vD888/Tp08fgoKC8PX1RVEUzM3NjfK58Nlnn7Fx48a7Rvjc2eRw7dq1fPrpp0RFRRk8XzU7OzuOHTtGy5Yt0el0aLXaGjfE165dy/Tp09m/f79Bj4NUVFRQVlb2pwVcRkaGUc7bi3+mqqoKCwsL/Pz8mDRpEg8++CCWlpY4OzsTHBzM8ePHG9QEjn9TUVERp0+f5uzZs5w8eZKkpCSuXr1KRUUF9vb2NG3aFBcXF5YvX16rN7cqKir0DUmzs7PJzMwkIyODtLQ0MjMzuXnzJhcvXuT8+fNGadwr/pycaf+bNm7cyK1bt1i8eDGA/vxJ9Yf6hg0b2LhxI5s3bzZIk7WqqiqmTp1K586deeqpp3jrrbcICgpCp9OxadMm3nvvPVq0aFHrOf5MWVkZmzZt4osvviAvL4+HHnqI9957DwcHB9LS0sjOzmb9+vVcvXqVffv2GTWr+GuVlZWkp6czaNAgrl+/TmJiImVlZcDtc+MODg54enri4ODA7NmzDX4TSzQsZ8+e5dq1a/odOqmpqbzxxhts3rxZX7CnpaWxevVq3n33XSMmNbzDhw/zxhtvMHXqVBITE0lLSyMlJYXk5GQyMjK4efMmx48fp0WLFgYr2isqKpgyZQqXL1/m66+/ZtmyZZibm+Pl5aXvcRIaGkpwcDBdu3Y1SCaA6OhosrOz2b59Oy4uLgQGBuLu7o5KpdKfv09MTMTPz89gmX4rNzeXsrIyfeFb3ZvgTk8++STh4eE0b97cYLnKysrYunUrBQUFTJ48maSkJL777juaNm1K48aNCQgI0J9zF3VfaWkpTz75JC4uLrRu3Vp/9vnmzZtUVlbKbsj/gZ2dHQ888AAPPPBAjeeru/MfO3aMI0eOYGNjU6s5LCws8PLyums3TnFxMTk5OVy/fp3CwkIp2OsoKdr/pl27dtG3b1/9SITqD8zqD/Vu3bqxY8cOjh49Su/evWs9j1arZc6cOaSlpVFWVqbPkZOTg0ajwcrKyuhNX3744QcWLFiAv78/dnZ2LFu2DICwsDC+++47Lly4QEhIiMEa94n/zYULF3B1ddX/PVZWVpKamqrfDhkfH8+1a9eIi4uTgl3UulOnThEaGqp/fOzYMZKSkmrcND18+DDr1q1rcEX7hQsXWLBgAQBBQUEEBQXVeL2goIDk5GSDHuuytbXlk08+0T8uLCzk/PnznDhxgjNnzrBt2zY++ugjIiIiOHv2rMFyOTg4YGNjwwcffIBGo6FRo0Y4OTnh7e2Nv78/bdq0Ydu2bYwcOdJgmX7r8uXL6HQ6li1bhru7u77Jm4uLiz6/iYkJbdq0MWiun3/+me+//57HH38cuD1B58MPP6Rly5ao1WoqKioYMWIEr776qkFzif+Og4MDn3/+OR9//DFPP/00np6eLF26lJs3b+Ll5YWPj4+xI9ZLiqKwY8cODh8+zIIFC/TX5iYmJvj5+eHn58ejjz5qsDw6nY4bN27g4uKirx1sbW2xtbUlKCiI8vJyg2UR/4wU7X9TUlLSn955CgoK0o9QMARLS0umTp3Kxo0bWbVqFVu2bGH27NlUVFTg5uZWJ0ZxrF+/nuHDhzNnzhwA2rdvz3/+8x8ef/xxnnjiCXbt2oWVlZW+s7Go2w4dOoSDgwNw+6aRubk5TZo0oUmTJvTv31//vtLSUiMlFA3Jb7vgnjp1irZt2wL/16Tu9OnTREREGCuiUVRVVeHj46Pfxnpnw0i4faPZwcFB3yXdkLnMzMxQFIXKykrs7e3p2bMnPXv2rPE+Q48ZWrBgATNnztTvHoqOjubSpUskJCRw/vx5tmzZwqVLl1i5cqVBc93p+PHjqNVqtm7dqm+w6ODggJeXF35+fgQFBemnUFR/DRjCd999R+fOnfVNZPfv38/AgQMZPXo0aWlpbN++nX379jF48OC7bhyJusnKyoq3336badOmsXDhQqZOncrVq1cJCwvTN5w19oJQfXPw4EFWr17NAw88gImJyV1/fqdPn+bq1auMGjWqVnsFlZSUsHDhQr7//nvc3d0ZMWIEEydOxNTUlPLycjZu3MiOHTto1apVg2rcWp9I0f43aLVafHx8fndubPUXX35+PpcvX6ZZs2YGy2VjY8P48eMZNWoUH3/8MaNHjyY9PV2/tdDY31TPnz/P+++/r39cWFjI2LFj+fjjjwFqdBwXdZ+dnR0vvvgigP6Dp7oDNfzflk1jzXwWDcuFCxfo1auX/vHly5cZOHAg8H87oapn0DYkKpWKHTt24OLion/828+CO8cLGUL1efrk5GR2797N0aNHyczMxM3NjW7dutGvXz99UVd9Y9BQ1Go1dnZ22NnZ0bRpU/r27QvcvslQUFBAZmYmsbGxBl/FvtP+/fuZO3cub7zxBvn5+cTGxnLx4kWioqK4evUqR48eJT4+njlz5hi0aD916hTPPfecvldBeno6b731lv4mbt++fXnsscfIycmRor0eqP4s1+l0WFtb8/rrr9O9e3dWrlxJUlISn332Gc8884xsk/+HNm/ejLe3912jZ6vrh8zMTH744Qfuu+++Wj3P/v7777N161a6dOlCdHQ0zz//PGq1muzsbFauXImPjw9mZmYMGzas1jKI/5Ei/pZ58+Ypfn5+SklJye++/sUXXygBAQEGTqUoGo1G/+Pc3FzlzTffVEJCQpQnn3xSOXLkiFJVVWXwTIqiKJWVlYpKpVL279+v5OfnK4qiKA4ODkpmZmaN9+l0OiOkE/+NY8eOKefPn1dKSkpq/LsTwhg8PT2Vjh07KmPGjFFmz56tWFlZKfPnz1fS09OVW7duKYqiKF5eXsqhQ4eMnNSwEhMTlVWrVimnT5+u8XxKSoqSmpqqf2zo773R0dFKy5YtFTs7OyUkJETp3Lmz0rx5c8XZ2Vnp27evcuXKFaPkqg+cnJyUjRs3/ul7UlJSlOzsbAMluv0Z7+zsrJw5c0b/XFJSklJQUKDodDpFo9EoN2/eVOzt7ZW0tDSD5RL/vpycHOX9999XPD09FRsbGyU+Pt7YkeqV5s2bK19++eUfvp6Tk6P0799f2bJlS63mCAwMVNauXavodDolISFBcXNzU+zs7JQ5c+Yo+/fvV2JiYmr19xf/O1ni/JsGDx7MihUr6Ny5M7NmzaJly5bY2NhQVlbG/v37mTdvHi+88ILBc1WfR1EUBWdnZ2bMmEHHjh1ZvHgxQ4YM4dixY0ZpKJGSkoKdnR3vvPMOjRo1wsLCguLiYr755hvCw8MJDAzEx8dHOo3XIzNnzkStVhMUFERAQAB+fn54enri7++Pv7+/7JgQBqPRaHj99ddJTEwkKyuLw4cP4+vry48//sjOnTuxt7fHycmJrKwso66QGsP69es5efJkjaMD3377LYsWLSI6OpoWLVqwdOlSgzZ7Kykp4dVXX8XNzY0tW7YQFBREUVER6enpHDt2jIULFzJ69GiOHj0qnwm/w93dnQ4dOgD/d9yheqda9Q4nQzfKu3HjBk2bNuX06dP61f3qnj+KomBiYsKlS5fQaDRyFroeKCgoYNq0aaxYseKuz3JXV1dmzJjB5MmTefvtt6Wx4D9UWVmJq6vrHx4rcHJy4sqVK384vvTfcOvWLZKTkxk0aBAqlUr/Pfg///kPAwcO1NcSWq1W/2NR98jIt7+h+gvt0KFDTJw4kYSEBFxdXXF0dKSwsJD8/HxeeOEF/bbvuqCsrIwNGzYwatQoo1wEFRQUsGvXLrKzs0lNTSUrK4vs7GyqqqrQarX6ebg9evRocE2i6iOdTsfy5cu5cuUKV65c0TdANDc3x9HRkW7duvHqq6/WiV4K4t5XVFQE3D6yUVxcTHZ2NllZWSQkJJCSkkJmZibp6ekoisLu3buNnNawOnTowOjRo3nhhRf05/pHjRpFy5YtefLJJ5k/fz5+fn58+eWX2NvbGyTT/v37eeaZZzh69Cienp53XbyePHmSoUOHMn/+fMaMGWOQTPVFVVUVJ06c+Msu/39UENSm559/nsOHD3PixIm7jkUVFBQwa9YsmQ5TT+zYsYPhw4frm5BdunSJt956ix9//BETExPUajWFhYXEx8fTrl07I6etPyoqKnjiiSews7Nj7dq1d72u0+mIi4ujbdu25OTk1NrxwtOnT/PAAw+QkZGBra0t165do2PHjsTHx2Nvby99CuoJWRr7G6pHu/Xo0YO4uDgOHTrE8ePHycjIwMzMjMcff7zGqkZdYGVlddf5GUNycHDQd5SF23f5MjMzSU5OJjU1lfT0dC5fvoyrq6vRMoq/T61W8/zzz9d4LjMzk0uXLnH06FE2btzI6dOn+fXXXzE3NzdSStFQ/Pjjj6xatYrVq1fTrFkzbG1tadq0Kffdd5/+PXl5eQ2yKWJCQgKdOnXSn+tfvXo1ISEhrFu3DltbW+zs7Hj55ZfJzs42WNF+4sQJmjZtiqenp75JIPxfw8COHTvy2GOPsWfPHinaf+PChQv88MMPpKamEhoaio+PD46Ojnd9nzXGBfeYMWPYvHkzHTt2ZPLkyTRv3hw7OzvKyspYs2YNR44cYdGiRQbPJf65s2fP0qNHD/3jyMhIMjMz9c0jAb766ivWrFlDVFSUkVLWPxYWFgwbNoxRo0bRs2dPhg4dWmOsm0qlYu7cubRv375W+wElJSVRUlJCixYt9OOhNRoNly5dws/PDxcXF5n6Uw9I0f43xMbGsmnTJiZMmICbmxs9evSo8c1N/L4LFy7QpEkTrK2tsbS0JDAwkMDAwBrvqaqqMlI68U9pNBp98yq1Wq2f9dm7d2+eeOIJRo8ezbp162SEn6h1vr6+FBUV0bp1a8aOHcusWbP0uzyqVwycnZ1xdnY2clLDKioqwsPDQ78TQVEUtm3bxty5c/UXhKGhoSQnJ981p7c2FRYWYmdnh0ajqbH1Vq1W65+7efOmbI3/HRkZGWzdupXvv/+e3NxcGjVqhK+vLy1atKB169a0bt1aPxPdkE1ANRoNnTp1Yv369bz22mu8+OKLWFhYYG9vT0lJCXZ2dixevLjBNYKsr06cOEF4eLj+8alTp+6aMHHhwgVatWpl4GT13yOPPMLYsWOZNGkSe/bsoXv37jRu3JjExERWr15NQUEB69atq9UMgwYN4tSpU1y+fJnTp0+TmJiIo6MjPXr0wNTUVF+4v/rqqwwZMqRWs4j/nmyP/wulpaVMmDCBW7dusWXLlhqvKYpCWVkZBw4coG/fvpiZmRkpZd2zZ88evv76az799FOcnZ2ZOHEiFRUVtGjRghYtWtCsWTPpJluPVJ+j/G3Haa1Wi6IomJqa8tRTT+Hl5cW8efOMmFQ0JGvWrOGDDz5Ap9MxefJkRo0ahbu7O9AwxxKVlZUxbdo0EhMTWbhwIV9++SXffvstycnJ+o7Pe/fuZcyYMVy/ft1guQ4dOsTYsWNZtGgRQ4YM0a/cKYqCWq0mNzeX3r178+KLL/LUU08ZLFd9UlFRQVZWFjExMZw/f56zZ89y+fJlsrOzKS4uZtGiRUydOtVo+aKjozlz5gxpaWk4OTnxxBNP4OTkZLQ84p/x8/Nj3bp1+okc7dq1Y9y4cbzwwgv6G2sRERFMmjSJZ5991shp65+bN2+yYsUKvv/+e5KSkigtLUVRFPr06cP06dO5//77jZIrKyuLuLg4Lly4wN69e3nqqacYOnSoUbKIvyZF+184dOgQU6dOZc+ePbi5ud31+vXr1+nTpw9z587Vjxtq6IqLixk6dCj9+/dn6tSpVFVV4ejoSJcuXSgtLaWoqIj8/HwOHjxolCZ54t9RXchXb3Vt3749zz77rFGPZYiG4c4t1mlpaXzyySfs3buXsLAwZs6cSVhYmJETGs/x48cZPXo0165dIzQ0lFmzZumPKt28eZMPPviA+Ph4Nm/ebLBMFRUVDB8+nHPnzjF//nyGDh2KlZUVVVVVXLlyhbfffpvCwkLWr18vfTH+oZKSEuLj4/H09MTDw8Mgv2d5eTnLli2jZcuWNG7cmMaNG8uiRT2nVqsZMWIE/fr1o2vXrnTp0oXdu3fXaORpb2/P4cOHa6zIiz9XXFxcY0ReUVERCQkJ6HQ6XF1dcXZ2rrFd3hCqb2inpaXJ99t6Ror2vzBv3jwOHTrE3r17//A97733HhkZGXzxxRcGTFZ3HTx4kClTphAZGYmNjQ3nzp2jT58+HDt2jPLychISEli+fDn3338/b731lrHjir+hR48eNG/enE6dOtG6dWuCg4P155+0Wi3ffPMNH3/8MZs2bSI4ONjIaUVDU1ZWxo4dO1i6dClXrlxh3LhxTJ8+vUH3zEhJSUGr1eLn54dKpcLExIT169ezZMkSZsyYYfDVlNLSUh555BEOHTqEWq3G19cXR0dHEhMTsbGxYcuWLQadMV5fpKamcuHCBQYNGgTcXtF2cnLCzs4OCwsLzMzMDL6j5MqVKwwZMkR/5MHGxgY3NzcCAgIIDAzU76ZryF9/9UlZWRlvvPEGUVFRxMbGcvPmTbRaLR4eHrRq1Yr27dvTuHFjJkyYgEaj0d8wFX/Nz8+PU6dO6W+oXblyhWbNmhk5FfqpDidPnqzV2fDi3yVn2v/CtWvX8PX1rbGy81upqalyFu8OkZGRuLm56e8eXr9+nQEDBuiLufDwcOLi4jh37pwxY4q/qbS0lMDAQK5cucLWrVu5ceMGAF5eXvj7+9OoUSMuXbrEyy+/LAW7MAorKytGjBhB9+7d+eyzz/jggw+Ijo5ucJ3jo6KisLOzw9vb+3cvxIYNG0a3bt0MtiILt1d1tm/fjlqt5pdffmHHjh1ERkaSlpaGSqViyJAhPPvsszg6OhosU31x/fp15s6dS2ZmJoMGDSItLY3evXtjb2+vL47bt2/PiBEjDJrL19eXFStWcOPGDZKTk8nMzCQjI4Pz588THR3N119/TXp6Oo899hgffvihQbOJf87KyoolS5YAt3dRpKSkkJiYyIULF7h48SLbtm0jMTGR5s2bS8H+D8TGxpKXl6e/eZWbm8tTTz3Frl279N/v8vLy+Pzzz5k1a5ZBMlWvsl++fBlFUXBxcTHI7yv+HVK0/4WQkBA2bdpEVlaWfjaloihotVpMTU0pKSnh5MmTTJkyxchJ647U1FT8/Pz08x779etHt27dgP+bAXn16lUcHByMG1T8LdbW1qxevZpbt25RVFSkv1C7dOkSqampqNVqpkyZQv/+/Y0dVTQQxcXFaDQaCgsL2bdvH6dOneLGjRukp6cTHx+PoiiEhIQYO6bBTZ06FXNzc1xdXXF3d8fPz4/GjRvj5+eHt7c3bm5udzUDrW0///wzS5cupWfPngwcOJCBAwfSr18/SktLsbOz4/r16+Tl5UnR/jsOHjxIRkYGy5YtA243C1OpVEycOJGzZ8/y7bffsnHjRn2vGEOxsbGpMamhWlRUFKtWrWLPnj36kYui7vvkk0/49ttv6d+/PxEREURERNCnTx8GDBigf09OTg7FxcVGTFn/nDx5koCAAP3c8zNnzpCRkYGdnZ3+PZGRkbz77rsGKdrv7E107tw5gzevFP87Kdr/wmOPPcb777/PypUrmTJlCk5OTqhUKn0H3M8//xxFUaSb/B2aNm3KDz/8QFZWFj4+PgDY2tpSVVWFmZkZBQUFnD9/3qhNc8Q/o1KpsLKywsrKCg8PD1q2bKnfrpmXl0dMTAyXLl1q0GeJhWF89NFHHD16lKioKNLS0vRTKezs7Ojfvz8DBw6kcePGDW73U0VFBYMGDSIrK0u/pToyMhKNRoO9vT1OTk7Y2tri7+/PO++8Y7BcX3/9NZ07d2batGnA7QtHExMT/YXrsmXLiI6OZv369TXOforbTQMDAgIICAgA4OjRo3To0EH/Z1leXs64ceP49ddfDVq0V1/4K4pCQUEBCQkJrFq1iqioKBRFwdvbm2effZbRo0cbLJP47wUEBODr68vPP//MF198QW5uLra2tnh7e9OqVSs6depE8+bN9Ysv4u+JjIy8qyN/y5YtMTEx0X8NRUVFGawJ3Z3HaBwdHRk3bhxwd38iUXdJ0f4XfH19efvtt3nrrbf45Zdf6NmzJ76+vlRWVhITE8PatWtZtGgRTZo0MXbUOuOxxx5j7ty5fPnll0ydOlW/glLdqGb58uUAcqOjHlGpVNy4cYPc3FwqKys5duwYx44do6ioiLy8PE6cOMGcOXOkaBe17sKFC+h0Ol577TV69uyJmZkZrq6uDb5TtYWFhb6Yg9srY3l5eWRmZrJ7925OnDjBpk2bCAoKMmjRfuTIEcaPH4+FhQXwfxeO1Ret1aOQYmNjadeuncFy1QfR0dE15taPGjVKf2FdVVVFo0aNyM3NNfiKdklJCb/88gvnzp1j27ZtxMXF0bt3b4YPH06nTp2kuKtnBg8ezKBBgygpKcHKyoqQkBD69++Pi4sL58+fZ8WKFcTGxrJ792569+5t7Lj1xunTp3niiSf0j2NiYujYsSPwf9//Tpw4UaPZX224evUq06ZNY/bs2bRr1w5FUXjkkUf0r/92KpCou6Ro/xtefvll7O3tWbp0KfPnzwfA2dkZf39/Fi9ezHPPPWfkhHWLj48Ps2bNYtasWezfv58ePXrg6+tLVVUVly5d0t/okJFv9cOSJUs4e/YsJiYmnD9/nqSkJB555BE2bNjAo48+ytNPP82qVasMvu1WNDyKojBz5kxCQ0Pvek2r1aJWq/UrgA3tIqT66FE1Nzc3srKyOHv2LOnp6SQmJhIaGsobb7xhsExVVVVotVpcXV3v+jup/rGLiwtXrlzB09PTYLnqCxsbG/Lz8/WPO3TooP+xqakpVVVVXL582WDnYeH2iKg+ffqQkZGBo6MjkyZN4qmnnsLe3l46yNdjpqam+iOL+fn5PPPMM4SHh1NZWUlZWRm5ubnSsOwfKisrY8mSJRw4cIAWLVqwa9cugoODuXnzpv4mc1JSEhMmTKjVHDNmzKBly5b63TgqlapGn66XXnqJKVOmyDV5PSDd4/9C9ZbuamVlZWRnZ5OYmIi5uTmWlpZYWVnRsmVLI6asm1avXs2yZcuIiooCwMnJCX9/f8aPH8/zzz9v3HDib6mqqsLCwoLOnTvz1FNPcf/99xMUFIROp8PW1pZTp04ZdFumaNguXrzIu+++y6ZNm1CpVFRWVpKTk4O3t3eDK9LvVF0Q5+bmkpGRwfbt21m1ahUAnp6eRERE8Nxzz9GsWTMURdEf76ptOTk5DBkyhH79+t01KaT60uPEiRP07t1bzsv+jsWLF7N48WLOnDmjbxh158X29u3bmTBhAgkJCQY7WvDzzz8zaNAg3N3dGTx4MJ6ennh7e+Pj44OjoyNubm44OjpiY2Mj223rCa1Wi06nw8zMjKSkJNq1a0dSUpL0HfofKIrC2rVrSUtLIy0tjczMTLKzsykrK0OlUmFra4uPjw8//fQT6enpeHl51UqOa9eu0atXL3799dffvemi0+mYMGECYWFhvPLKK7WSQfx7ZKX9L5iZmXHjxg1ycnKorKzk9OnTnDt3jpKSEtLS0jhy5Ahz5syRov0O1Tc6nn76aZ5++ukaNzpMTU2xsrIiOjpa/szqAa1Wy5w5c0hLS6OsrEy/kpeTk4NGo8HKyqpBrmoK49i9ezcJCQn6f287duzgu+++48cff9S/5/Tp05w8eZIXXnjBWDENTqVSsXjxYvbs2cOvv/5KWFgYr7/+OmFhYXTv3t1oudzc3OjVqxeffvop/fv3JzQ0VD8qUqVSUVxczPLly42asS7r27cvn3zyCWPGjOGjjz4iLCwMtVpNeXk5R48e5c033+SRRx4xaC+ABx54gN27d3P8+HFOnjzJ4cOHyc/Px8TEBAcHB3x9fbG3t2fYsGEMGTLEYLnEf8/ExET/2X7p0iU8PT314/zg9gx3uQHzz+Tl5dGmTRvGjx+vP0aYk5NDRkaG/r+UlBT69etXawU73D5Hb2lp+Ye7JNRqNd27d+f777+Xor0ekKL9T/zetuCHH36Yb7/9lkGDBvHkk0+yfPly2Rb8G390o6O0tJTU1FS50VGPWFpaMnXqVDZu3MiqVavYsmULs2fPpqKiAjc3N3x9fY0dUTQg586dq1HgHTp0SH9hWX3z6NtvvyUrK6tBFe2VlZX6C67nn3+ePn36EBQUhK+vL8XFxZibm+vPlBva+PHj2bt3L4MGDWLChAm0bdsWR0dHEhISWLduHTk5Ofru6KKm0NBQFi5cyHPPPUd4eDhubm40adJEvy2+c+fOLFiwwKCZ1q1bx8CBA2ucbS4uLubSpUtcvHiRixcvcvLkSXJycgyaS/x3vv/+e86dO0erVq3o2rUru3fvJjQ0VAr1/9EXX3zBhg0biImJwc7ODjs7Oxo3bqx/XaPRkJ+fT1lZWa3mSEtLw8/Pj6KiIuzs7H53kSU9PV0WXuoJ2R7/B2Rb8H/nr250PPzww3Tu3JnAwMAG1925vquoqODjjz9mxYoVpKen07VrVw4ePGiwrbZCBAcH8+677+qb+/Ts2ZO+ffvyxhtv6M90d+/enf79+zNjxgwjpzWc4uJi3n77bS5fvszJkycpKirC3NwcLy8vQkNDadmyJaGhoQQHB9O1a1eD5zt37hxz5szhwIEDlJeXo9VqMTMzo127dsyePZsHH3zQ4Jnqk5s3b7Jhwwb9aEMLCwt69uzJ2LFjDb6F2cXFhR9++EHf8frDDz9k+PDhNQqS3x4rFHXXm2++yb59+zA3N0etVhMXF4eLiwu9e/fG19eX4OBgfHx8aNGihfyd/gMjR47E3d2dJUuW6G8sw+0dRnf2HqltP//8My+//DLffffd7zb6LCkpYcSIEbRp04a5c+caLJf470jR/gdu3brFxx9/TFpaGi1atODhhx8mICCA7Oxs/P39uXr1KgEBAXJ36g5yo+PedWeTq7y8PBYtWsSmTZvo2LEjEydOpFOnTlK8i1pnbW3Ntm3b6Nq1K5aWlvj6+vLVV1/Rq1cv/Xvc3Nz44YcfGvR0isLCQs6fP8+JEyc4c+YMMTExxMbGEhERwdmzZ42W68aNG1y5coWKigpUKhWdO3eWOcF/4Ny5c1haWuLo6IizszPm5uZotVqqqqqMdsO7srISS0tLsrOzcXNzA26Pcz127BitWrVCo9FQWVmJr68vFy9exNvb2yg5xd+n0+koLi4mJyeHhIQELl++zMWLF7lx4wbFxcXodDry8vLYunUrISEhxo5bb4SGhvLKK6/wzDPP/O7riqLo+1PUZh2h0+lo27YtiqLw+eef07FjR0xMTNBoNJiamjJnzhx++OEHVq5cSefOnWsth/h3SNH+J0pKSvTbgi0sLPTbgsePH8+1a9cwMTGRov0OcqPj3le9taqkpIQDBw6wePFiLl26xLFjx2jatKmx44l7WF5eHq6urjz88MMEBQXh7e3NrFmzWL9+PeHh4Tg6OqLVavH09KSwsBAbGxtjRzaY6pVNRVGorKz8w63wBQUF0lyqnmjRogW2trb4+fnh7+9PUFAQfn5+eHp6Ymtri5OTE3Z2dga9WXrmzBkeeugh8vLyUKvVXLt2jbZt25KYmKgf7RoXF0dYWBiVlZUGyyX+fVVVVRQUFJCRkcGVK1cYOnQo5ubmxo5Vb9jb29OzZ08iIiLw9PTE19cXHx8fPDw8cHZ2Nuhqe3R0NP379+fWrVt06dKF8PBwrK2t2blzJ0eOHGHVqlU8+eSTsvBSD0jR/jfItuC/T250NCxlZWVs2LCBUaNGyXEHUauKior4/PPPiYmJ4erVq+Tk5JCbm4uPjw/u7u4EBgai0+nYsWMHN2/eNHZcg6lerUlOTmb37t0cPXqUzMxM3Nzc6NatG/369ZNRPvWMVqtly5YtXLp0ibi4OBISEsjKyqKqqgo7Ozu8vb0JCAggICCAd955x2C5PvvsM77//nuOHj0KwNatW3nzzTeJjo5Gp9NhamrK999/z/Tp00lJSTFYLiHqkhs3buDu7k7fvn3Jz8+noqICExMTbGxscHZ2xsPDA29vbzw9PRk7dqxBromTk5NZtWoV+/fvJzU1lfLycpo0acI777zDgAEDav33F/8OKdr/gmwL/u/IjQ4hRG2qrKwkISGBs2fPEh0dzdWrV4mOjqZt27Y1usk3BJcuXeKJJ54gJSUFT09PnJycKCws5Pr167Rv355PPvmE0NBQmfRQjymKQnp6OufPn+fo0aOcPHkSCwsL9u7da7AMzzzzDAcPHuTDDz8kPDycjz76iJycHDZt2qR/z8yZM4mKimLHjh0GyyVEXbJjxw6mTJlCYmIi+fn5JCcnExcXx9WrV0lKSiIzM5OcnBzc3d1r9eu3qKiIyspK/bhIgNLSUkpKSnBwcNDvyJLPhfpDiva/SbYF/31yo0MI8W+r3gKu0Wi4devWH25/r6ysbFDbOEtKShg2bBgajYYVK1YQFBREUVER6enpHDt2jIULF2JjY8PRo0dlN0w9UH2tERsby5o1azh27Bh5eXnY29vTqVMnnnjiCTp06GCUbNOnT2ffvn1YW1ujUqlqNC3z8fEhIiKCqVOnMnLkSN566y2jZBTC2F577TXOnj3LgQMH/vA9GRkZ5OfnExYWVms5Pv/8c7Zv306LFi1wd3encePG+Pv74+HhgaOjY4M6QnavkKL9vyTbgv+a3OgQQvwbqr+XnD9/ns2bN3PmzBkKCwvx8PCgW7duDBgwoME2Sdq/fz/PPPMMR48exdPT865Vk5MnTzJ06FDmz5/PmDFjjJhU/F3p6ek8/vjjJCYmEhYWhpubG8XFxURHR1NYWMjrr7/O1KlTDX5zSqfTUVJSwvXr13+3aZmiKERGRhIZGUmnTp0Mmk2IuuLZZ5+lcePGvP766/rjS6WlpZiZmWFmZlbj+3NtrnKvXLmSHTt2UFJSQmFhITqdDktLSxwcHHB3d8fX1xdbW1tGjhz5h3PcRd0iRbswGLnRIYT4b0VFRdG/f38URSEwMBB7e3tu3LhBamoqzZs357PPPqvVVYu6at68eRw5coTdu3frLxCBGj9+9dVXyc7O5ptvvjFmVPE3vfTSS1y4cIFPP/2U1q1bA7d3VKSkpLB69WpWrFjBrl27uO+++4wb9P+rblqWmZlJbGwsjz76aIPa7SLEna5cuYKbmxvOzs76nadvv/02gwYNon379gbPo9VqSUtLIz4+ntjYWOLi4khJSSE/P5+kpCT27Nkjk53qCSnahRBC1Gm5ublMmjSJkpISfvzxR2xtbSkrKyM7O5vIyEg++ugjTE1NOX36tL5QbSimT59OcnIy33333V3HjqrH+owfPx61Ws2qVauMlFL8XVVVVTRt2pRVq1bx4IMP1rj5Uq1Lly50796defPmyVEzIeqw6pV0CwsL9uzZQ8+ePQ32e2u12j8dKVdeXs7Nmzfx9PRscJ+b9ZX8LQkhhKjTjh07Rnp6OkuWLMHW1hadToeVlRWBgYGMHj2a5cuXk5WVxf79+40d1eAGDBjAqVOn2LZtG3D7IrF6BrCpqSm5ublERUXRtWtXIycVf8fFixcpKyujS5cuaLXa373gnjBhAqdOnZKCXYg6SKvV6n+sUqm4efMmOp2O4OBgg+b47bQmnU6HVqtFp9MBEB8fz7fffisFez0if1NCCCHqtP379xMQEEBISAiKotTYAg4QFhZG79699aOoGpJOnTrRqlUrXnrpJb7++mvKy8tRqVRotVouXrzIhAkTsLe358EHHzR2VPE3REZGEhISgpWVVY2LbkVR9MWASqUiPz/fmDGFEH/gtzPYMzMzeeSRR3B1dTVojt9upFar1ZiYmOg/P7du3cr3339v0EzifyNFuxBCiDrt+PHj+qLzziJGURQ0Gg12dnbcvHkTMzMzY8Y0CgsLCzZs2EBoaCjjx4/H0dGRJk2a0KVLF3r27Mm5c+f4+OOP8fX1NXZU8TdER0eTnZ3N9u3bOX78ONevXwdu/7uvLgYSExPx8/MzZkwhxO9ITEwkJiaG4uJi/XNhYWGsXbu2xudTbZ5Mrv6171xl12q1+v+qnT9/nlatWtVaDvHvk71VQggh6rSEhAT9THZPT0+8vLxqFDEAV69eZfz48UZMaXiKorB9+3bUajW//PILO3bsIDIykrS0NFQqFUOGDOHZZ5/F0dHR2FHF3+Tg4ICNjQ0ffPABGo2GRo0a4eTkhLe3N/7+/rRp04Zt27YxcuRIY0cVQvzG559/zuHDh2ncuDEuLi74+PgQFBREQEAA7u7ueHl5YW5uXqtz0VUqFXv27MHDw4Pg4GAaNWp01+q/RqMhJiaG1157rdZyiH+fNKITQghRZ2k0Gjp16qQ/v2tpaYmTkxOenp40btyYwMBA/Pz86NSpE8nJyfj4+Bg5seHs2LGDJUuW0LNnT958803g9opKaWkpdnZ2XL9+neLiYpo0aWLkpOLvunOsWmJiItHR0Vy6dEnGqglRD2zcuJHz58+TlZXF9evXKSoqory8nEaNGuHm5oatrS3W1tbMnDkTb2/vWsvRrl07ioqKsLS0xNnZmcDAQJo1a0ZYWBjNmjWjUaNGNGnShKNHj8pqez0iRbsQQog6S1EULl++TFpaGsnJyaSkpJCZmUlOTg4lJSVoNBpu3brFtWvXKCgoMHZcgxo5ciShoaG8+eabWFhY3DXz9+233yY6Opr169dja2trxKTifyVj1YSoX0pLS8nMzKSoqIgDBw5w6NAhjhw5QnFxMVlZWbi7u9fK76vRaNi/fz85OTmkp6eTnp5ORkYGOTk5FBUVodFoAIiLi/vDZpeibpLt8UIIIeoslUpFixYtasyRVRSFmzdvcu3aNVJSUoiPj8fCwsKIKY3jyJEjjB8/Xv//fud5f5VKxdixY5k0aRKxsbG0a9fOmFHF/8jMzAxXV1dcXV0JDw83dhwhxO+4c0SjtbU11tbW7N27l/j4eJKSkrCxseGFF16otYIdwNTUlD59+ugfl5aWkp+fT2ZmJtnZ2WRlZZGcnAwgBXs9I0W7EEKIOq266ZxWq8XMzIxLly5hbW1Nu3btGmwxWlVVhVarxdXV9a4V9uofu7i4cOXKFTw9PY0VUwghGozKykp9/5UlS5aQnp6Ov78/jRs3ZtGiRfTu3Vu/0l0bqj8LtFotxcXFODg46G8e3Hl0TFEUysvLay2HqB1StAshhKjTVCoVKpVKP+Jt+vTpPPTQQ7zyyiv65xrarNn8/HyaNm3Krl27aNOmTY3Xqk+9Xb58maKiolo9OymEEAK2bdvGd999x8GDBzEzM+OZZ56hS5cutG3btkYz0No81qJSqbh+/TqrV68mOjqaZs2aMXPmTDIzM9m+fTu2trb07NkTHx8frKysai2HqB1StAshhKgXqgvzmJgYJk+eXOO5hsbNzY1evXrx6aef0r9/f0JDQ2nUqBFw+8KtuLiY5cuX0717dyMnFUKIe9+zzz5LdnY2ffv2ZcyYMTRp0oTAwEBMTU0pLS2lUaNGBvm8euuttzhw4AAREREsWbIErVbLoUOHiI2NJTc3F0dHR3bs2EGHDh1qPYv4d0kjOiGEEHXWb2fOarVaLC0tiY6OJjQ01JjRjC45OZnHHnuM9PR0JkyYoF/RSUhIYN26deTk5LBs2TLuv/9+Y0cVQoh72rJlyzh06BAnTpwgIyMDtVqNo6MjwcHBtGjRglatWuHj40OfPn2wtLSslQyVlZW4ubmxb98+2rdvz+nTp3nwwQcZMWIETz/9NJWVlbzwwgtERESwcuXKBtkLpj6Tol0IIUS9cevWLX755RcGDhwIcNd57obm3LlzzJkzhwMHDlBeXq4/99+uXTtmz57Ngw8+aOyIQgjR4ERHR3Py5ElOnTrF+fPnSUxMpKCgQL/qXhtOnz5N3759yc3NRaVSkZSURLNmzUhJScHDwwO4PSp02rRpxMbG1koGUXtke7wQQog6KSYmhn379nH//ffrO2ZbWlrSu3dvrl27hre3d4Mfe9WmTRt++uknbty4wZUrV6ioqEClUtG5c2esra2NHU8IIe55Op1O33ulrKwMKysrWrZsScuWLZkwYYL+fWVlZbVWsAOcOnWK4OBg/Y3sc+fO0bRpUzw8PPSd7YuLi9FqtbWWQdQeKdqFEELUSevXryc1NbXG+Jovv/ySBQsWkJ+fT/fu3Zk/fz7Nmzc3Ysq6oXocmBBCCMNRFAW1Wk1hYSF79+7ll19+IT4+nkaNGtGmTRsGDBhAu3btMDU1rfXmbydOnODSpUusXLmSTp06sW/fPv0xsurz9GfPnqVZs2a1mkPUDtkeL4QQok4KCwtj6tSpjB8/HrVazZEjR3jsscd4+OGH6dWrF9OnT2fgwIEsWrQIMzMzY8cVQgjRAOXk5DBlyhR27NiBs7Mz3t7eVFRUkJaWhouLC++99x5DhgypMce9NnzzzTesXr2apKQkMjMz0Wq1mJiY0LNnT1q0aEH37t155513GDNmDK+//nqt5RC1Q4p2IYQQdZKdnR2nTp0iJCQElUrF008/TX5+PqtXr8bR0ZGNGzcyd+5cdu3aJWPNhBBCGMXzzz/PqVOnmDVrFg8//DAajYb09HQuX77M0qVLOXnyJDt37qRjx44Gy5Sbm8u1a9eIiori5MmTREdHk5yczI0bNzh69ChdunQxWBbx75CiXQghRJ2TkZFBz5492bZtG82aNaOwsJAWLVowb948xo4dC0BSUhIdOnQgNzfXyGmFEEI0VM7OzmzevJkePXrc9dqtW7e47777aN++PYsWLaq1ju2KopCTk4ONjQ0WFhaYmt59ArqiooLs7Gx8fX0b7LjU+kzOtAshhKhzrKysaNWqFS+++CIzZ85k06ZNqNVqhg4dqn/PhQsXarWpjxBCCPFnEhIS0Ol0dO7cWb8dHW4X0YqiYGlpyaxZs3jjjTdqdcTayZMnGTx4MD179qRZs2Y0b94cX19f3N3d8fLywtzcHAsLC/z9/Wstg6hdcptFCCFEnaIoCo6OjkyZMgWNRsOLL77I0aNHee+997CxsQFunyHctWsXvXr1MnJaIYQQDVVqaio+Pj6kp6frC3agxihSExMTCgsLazWHh4cHI0eOpKioiJUrVzJy5Ei6dOlCly5dePTRR/nPf/5DRUVFrWYQtUtW2oUQQtQp1Rc7Xbt25dNPP+Xy5ct06tSJxo0b6xv57Nmzh+vXrzN58mQjpxVCCNFQNWvWDAcHBz755BM+++wzqk8d63Q6TExMUBSFffv20bp161rNERAQwOLFi2s8d/XqVSIjI9m5cycvvvgihYWFTJo0CUVRatxUEPWDnGkXQghR5/xVl92YmBhyc3Pp0KGDbJEXQghhNIsWLeKdd97h+eef58UXX9Q3Rk1NTWXx4sUcPXqU1157jeHDh9daBkVR9PPX1Wr1XZ+fb775JkePHmXdunUEBgbWWg5Re6RoF0IIUadoNBomTZqEu7s7c+fOBW5fhFy7do2dO3diYWHBuHHjfrfRjhBCCGFIpaWlzJo1i5UrV1JWVoabmxve3t5kZGRw69YtPv74Y/3o0tpSXbCrVCr971N9rl6tVpOTk0O3bt34+eefadq0aa3lELVHinYhhBB1SnR0NCNGjGDx4sX06dMHgOPHj9OrVy+sra2xs7MjLCyMr7/+Gnt7eyOnFUIIIW43R927dy+xsbHcunULd3d3Hn/8cdq1a2eUPFqtFkVRMDU15dq1a7Rs2ZKioiLpHF9PyTKFEEKIOuXw4cM4OjrqC/bExEQWLFjAQw89xNatW/nhhx+YOXMm+/btY9iwYUZOK4QQoiEqLCzkzJkzeHl54ejoSFhYGOHh4X95vOvfduTIEebMmcNDDz1EREQE4eHhuLm56RvjFRYWsnbtWlq3bi0Fez0mRbsQQog65eLFi7Rs2VL/+MCBAxQWFvLmm2+iUqkYMWIE27dv5/jx41K0CyGEMIq9e/cyduxY2rdvj7u7OwEBATRu3Bh/f3/c3Nywt7fH2dkZe3v7Gp3l/23l5eVUVVWxc+dOVqxYwc2bN2nUqBF+fn74+vqSl5dHfn4+s2bNqrUMovZJ0S6EEKJOsbW1JSMjQ//4q6++onnz5nTs2FH/XGZmJhEREcaIJ4QQQjBgwAB++OEHzp07x8WLF9m3bx95eXnodDrs7Ozw9fXFxsaGp556ioEDB9ZKBkVR6N27Ny4uLpw9exZFUbC1tSU7O5v4+Hiys7Px9fVl9uzZdO/evVYyCMOQol0IIUSd8tRTT9G1a1cGDRqEtbU1Fy9eZNGiRfrz67m5uSQmJtKhQwcjJxVCCNFQLVy4kIkTJzJgwAD9c+Xl5cTGxhIdHc3Fixf59ddfKSsrq7UMKpWKAwcO8NZbb3H9+nUA2rdvz+LFi3Fzc0OtVst4t3uENKITQghR5+zatYt169aRn5/PE088wbhx4/SvzZs3jy1btnDkyBEZ9yaEEMIoGjVqRGRkJBEREWg0GkxMTAxeIGs0Gjp27Iibmxt9+/YlOzubpUuX8uSTT7Js2TLgdkO62tyeLwxDVtqFEELUGVVVVZiamtKvXz/atm2LlZUVNjY2KIqCSqWiqKiIvLw8nnvuOSnYhRBCGEVOTg5VVVWEhIQA1BhBqtPp0Ol0wO2V8NosmC9evEhqaiq7du3Czc0NgLCwMF599VWWLVuGoihSsN8jpGgXQghRZ2zcuJHc3FymTJmCm5sb5eXlFBUVYWdnB4CVlRUzZszA1dXVyEmFEEI0VOfPn8fNzQ0rK6u7XlOr1Qbr0n7s2DFCQ0P1BTugv9kNt1fiTU1NZYv8PUCKdiGEEHXG6tWr6dy5s/7xihUr9LNu4fZqRmxsLDk5ObRo0cJYMYUQQjRgV69eJTs7m969e9O0aVMiIiJo0aIF/v7+ODk5YWlpaZAc0dHRZGdns23bNpycnOjWrRtnzpyhdevWAJiZmRkkh6h9UrQLIYSoM+Li4njppZf0j5cvX87kyZMB9FvkX3vtNSZPnixFuxBCCKPYu3cvvXr1Ijw8nOPHj/Pjjz+Sl5eHmZkZXl5ehIWF4e/vz4QJE2jVqlWt5XBwcMDGxoYPP/wQjUaDg4MD58+fx8/Pj88++4zGjRvj7e1NWFiYFPD1nDSiE0IIUWeYmpoSHx9PQEAAKpUKd3d3Nm/eTNeuXfXvsba2JjIykvDwcCMmFUII0VB5eXmxevVq+vXrB9xu9nb9+nWuXr1KVFQUFy5cYM+ePXzxxRc8+uijtZZDp9NRUlLC9evXSUxM5OLFi8TExHD9+nVKS0vR6XTk5eWxdetW/fl7UT9J0S6EEKJOSEhIICwsjFu3bgFQWVmJm5sbSUlJODk5AZCenk5AQABVVVVyRk8IIYRRqNVqEhISCAwMNHaU31VVVUVBQQEZGRlcuXKFoUOHYm5ubuxY4n8g2+OFEELUCZcvX6ayspI5c+bg5+dHeno6VlZWlJWVYWNjg7m5OcnJyTg6OkrBLoQQwijS09Np06YN/v7++i7x1Y3ndDqdwZrQ/RkzMzNcXV1xdXXVn28X9ZustAshhKgT9u7dy9y5cwEoLS2lsLCQ0tJSunbtiqurK02bNmX//v2UlZVx8OBBI6cVQgjRUOXm5uLi4vK7r8XHx3Py5Ens7Ox4+OGHDZxM3KukaBdCCGF01U3mAIqKikhKSuLatWvExsZy9epVMjMzKSkpITo6mnfeeYdXX33VyImFEEI0ZDqdjpMnT5KTk0NhYSE7d+4kJiYGExMTioqK6N69O1999ZWxY4p7hBTtQggh6oS8vDzs7e0xNf39k1vZ2dnEx8cTHByMu7u7gdMJIYQQ8M0337BmzRq0Wi02NjbExcURHBxMZGQkvXr14vHHH8fPz4+QkBDs7e2NHVfcI6RoF0IIYXQajYZx48bh5+eHt7c3np6eeHp64ubmhrOzMw4ODsaOKIQQQuDl5UV4eDgvvvgijRs3plmzZgA0bdqUmTNnMnbsWCMnFPciaUQnhBDC6HJzc8nMzCQhIYHCwkJUKhU2Nja4uLjg6+uLj48Pnp6eBAQE8OCDDxo7rhBCiAZq7ty5bNiwge+++44JEybg7++PlZUVGRkZBAQEGDueuEfJSrsQQog6JSMjg5iYGBITE0lKSiIqKors7GwSExPp0aMHu3btMnZEIYQQDZSiKFy4cIFVq1aRmJhI37596dOnD+Hh4SQlJeHh4YFarZYpJ+JfJUW7EEIIo9Nqtb97kXP27FkOHjzIhx9+SG5uLvPmzWPGjBlGSimEEELcVlVVxfr161m6dCkxMTEEBARw9uxZbG1tjR1N3IOkaBdCCGFU1Z3jNRoNarWaPXv2sHbtWq5du0ZKSgp+fn68/PLLtGvXDi8vL7kgEkIIYVRarRYTExP942XLlvHRRx9hY2PDCy+8wNChQ3F1dTViQnGvkaJdCCGE0R06dEhfrJuamtKpUyciIiJ47LHHCAwMNHY8IYQQAp1Oh1qt/t3XkpOT+eyzz1i7di3r169n4MCBBk4n7mVStAshhDCqvLw8XF1dUavVzJgxg4cffpiwsDAaNWpk7GhCCCGE3uzZs3FwcMDb21s/6cTJyQk7Ozv9e9atW0ePHj1o3LixEZOKe40U7UIIIYwqMTGRgQMHkp+fz40bN/D19cXDw4PmzZvTtm1bWrVqhZ+fH25ublLICyGEMIr8/HycnZ1p1qwZTk5OKIqCjY0Nvr6++Pr64u3tTWBgICEhIXh5eRk7rrjHSNEuhBCiTigoKCAlJYWoqCjOnz9PVFQUcXFx3Lx5k8rKSkaOHMmGDRuMHVMIIUQDlJ6ezoABA4iJiWHIkCF06NCBwsJCzp49S2ZmJhUVFWg0Gpo2bcrOnTuNHVfcY6RoF0IIUWcpikJOTg6XLl3C0tKSrl27GjuSEEKIBkpRFH788Uc2b96Mt7c3EydOJCQkBI1GQ2JiIjExMVRUVPD4448bO6q4x0jRLoQQwqiqzwi2bdsWf39/nJ2dsbKyMnYsIYQQQq960kllZSXHjx9n6dKlpKenM27cOCZMmFCjm3z1e4X4t0jRLoQQwqgefPBBoqOjuXnzJmq1Gk9PT0JCQmjdujXh4eG0aNECd3d3PDw8jB1VCCGE0Pv222+ZPn065ubmbNmyhdatW0vBLmqFFO1CCCGMTlEUrl+/TlxcHBcuXODMmTNcuHCBa9euUVxcjLW1NcXFxcaOKYQQooGqqKjAwsKCzMxM9u3bR3p6OiYmJhw9epSdO3dy7tw5WrdubeyY4h4lRbsQQog6S6vVcu3aNdLS0rj//vuNHUcIIUQDlJ+fz7Rp0zh+/DhmZma0bduWgoICHB0d6d27N506dcLb2xsTE5M/nOMuxP9CinYhhBBGEx0dzeXLl+natSs+Pj765zMyMrhx4wZBQUHY2toaMaEQQoiGbuvWrQwePJgOHToQHh5OaGgo/fv3p0mTJgA1zrMLURtMjR1ACCFEw7Vs2TLS09MJDw/XP/f555+zfv16SkpK6NSpE++++26Ngl4IIYQwJGtra3r06IFOp+Pq1atcunSJzZs34+TkhLe3Nz4+Pjg7O9OlSxdatmxp7LjiHiQr7UIIIYwmMDCQhQsXMnjwYAB+/fVXRowYQe/evQkPD2f+/PmMGzeOBQsWYG5ubuS0QgghGrLi4mISExOJj48nLi6OhIQEMjIyKCkpITU1lXnz5jF27FhjxxT3ICnahRBCGEVlZSVOTk7Exsbi7e0NwOjRoyktLWXLli0AbNy4kY8++oi9e/fi6OhozLhCCCEaKJ1O96dn1bOysoiLiyM4OBhPT08DJhMNhXRKEEIIYRTJycl4enpSUFAAQFpaGr/++iuPPfYYcLujfJMmTUhNTZWCXQghhNGo1WqqqqpqPHfnY09PT3r06CEFu6g1UrQLIYQwCicnJ1q2bMmiRYu4ceMG77//PtbW1gwZMgQAlUpFVFSUFOxCCCGMprKykh9//JGmTZvi4ODAo48+yoULFzAzMyM7O5uTJ08yevRoIiIijB1V3MOkEZ0QQgijcHFx4bHHHuOll15i7dq1hISEMH/+fMzMzIDbHeQPHz5Mr169jJxUCCFEQ7Vv3z5mzZpF586dcXBwYNWqVajVaoYNG8b8+fNJSUmhT58+jBs3zthRxT1MinYhhBBGM2LECHr27ElSUhK+vr54eHjozw7u3r2b7OxsXn/9dWPHFEII0UBt3ryZrl27smzZMiwsLMjIyGDHjh04OjqycOFCunbtCtzuMC9EbZFGdEIIIYxi7969ODs7ExAQgIODw11zbqOiolCr1YSGhkrneCGEEEYRGhrKzJkzGT16NAC9evWiadOmfPHFF6hUKiOnEw2FrLQLIYQwuOLiYl555RVcXV1xdHTE09MTT09P/Pz8CAkJoVmzZrRu3drYMYUQQjRw8fHxODk56R+npKTw4Ycf6gt2RVHQarWYmkpZJWqPrLQLIYQwuLKyMjZt2kRaWhpxcXFkZGRQWFiIRqPBxMSENm3aMGvWLHx8fIwdVQghRANVUlJC8+bNKSoqwtzcHG9vby5cuMCMGTPo168fYWFhODg4GDumaACkaBdCCFEnZGdnEx8fz5kzZ/j8888JCAhgz549fzobVwghhKgtFRUVnDlzhsLCQpKTk/U3mS9dusSNGzfQaDRYWFjQqVMntm7dauy44h4mRbsQQgiDq95OqFKpUKlUdxXm58+fZ+LEibz55pv6EXBCCCGEsSiKgk6no6ysjPz8fDIyMsjIyODy5ctYW1szbdo0Y0cU9zA5fCGEEMLgVCrVXef/qi+ItFotERERWFpaUllZaaSEQgghxG3l5eXk5OSQkZGBnZ0dfn5++Pn5AaDRaNDpdEZOKO51sudQCCGEwVVVVd31nEqlwsTEBHNzc4qKioiLi6NFixZGSCeEEELc9u2339KmTRuCgoLo1asXDz30EKNGjWLXrl0AmJqayoQTUetke7wQQgiDSk9Pp0uXLnTt2pVWrVrRqlUrmjZtiru7O2q1mhs3brBq1Sp++eUXTp48KSN1hBBCGMWXX37Jiy++yIABAxg2bBhwexzpgQMHOHv2LMuWLWPy5MlGTikaAinahRBCGFROTg4LFiwgMTGRmJgY0tPT0Wg0ODo64urqioWFBbdu3WLRokX069fP2HGFEEI0QGlpaTzwwANMmzaNSZMm1XitoKCAd955hxUrVhAVFUVoaKiRUoqGQop2IYQQRlVcXExCQgLx8fFkZWWh0Wjo378/zZo1M3Y0IYQQDdR//vMf5s2bR3R0tP45RVFQFAW1Wk1lZSXDhg0jLCyM999/34hJRUMgjeiEEEIYlKIorFu3jqSkJLp27Urfvn2JiIjA2tqa4OBgWrdubeyIQgghGrjo6GiaNm1a47nqiSdarRZzc3NatGjBlStXjJRQNCTSiE4IIYRBzZ49m7fffpvNmzczZMgQ9uzZw7Bhw4iIiKBHjx4MGzaMtLQ0Y8cUQgjRgLm6ulJYWEhSUhIAWq0WnU6HRqPBxMQEgCtXrtCkSRNjxhQNhBTtQgghDKaqqoqVK1cyd+5cTp8+zQcffMCYMWMoKyvj22+/Zc6cOezevZu1a9ei1WqNHVcIIUQDNXToUOLi4vjiiy8AMDExQa1W68eV7tq1i6SkJB588EFjxhQNhJxpF0IIYTBnzpyhT58+3LhxA7VaTVJSEs2aNSMqKkp/hn3RokV8/fXXnD9/3shphRBCNGSLFi1ixowZBAcHM2DAAIKCgrC1teXatWt89NFHjBkzhvfffx9ra2tjRxX3ODnTLoQQwmAiIyNp1qwZavXtjV7VZwZDQkK4desWlpaWeHl5cevWLSMnFUII0dC98sorNG7cmMWLF7N69WoURUGn02FmZsaoUaNYtGiRfqu8ELVJinYhhBAGc+nSJa5fv86WLVsIDw9n9+7dhISEoFarsbS0BG4X8oGBgUZOKoQQoqFKTU3l1q1bBAcHM3jwYPr160dsbCyJiYmoVCrat2+Pj4+PsWOKBkSKdiGEEAbj4OCAjY0NCxcuRKVSERcXh4uLCy+//DI+Pj5ERESwfft2Ro4caeyoQgghGqhFixbh5eXF9OnTAbC0tCQ8PJzw8HAjJxMNlZxpF0IIYTA6nY6SkhKuX79OQkICly9f5uLFi9y4cYPi4mIURSEyMpLIyEg6depk7LhCCCEaoMDAQF5//XUmTZoEwCOPPMIjjzzC+PHjURQFlUpl5ISioZGiXQghhNFVVVVRUFBAZmYmsbGxPProo5ibmxs7lhBCiAbI2tqaI0eO0KZNGwA8PDxYsWIFjzzyiJGTiYZKinYhhBBCCCGEAHJzc/H19aW8vBy4PZ/d0dGRs2fP6meyy0q7MDQ50y6EEEIIIYQQwMWLF6moqOCzzz6jQ4cOlJSUYGdnR9OmTY0dTTRgstIuhBBCCCGEEMD58+eZOXMmiYmJJCcnU1VVhaIodOrUifDwcDp27EjLli0JCwvDwsLC2HFFAyFFuxBCCCGEEEJwu8dKWVkZVVVV5Ofnk5mZSWJiImfOnCEmJobk5GTS0tKYPn06CxYsMHZc0UBI0S6EEEIIIYQQf0Cj0aDVaqmoqKC0tJTs7Gw8PDzw9PQ0djTRQEjRLoQQQgghhBBA7969admyJV27dqVNmzYEBAQYO5IQUrQLIYQQQgghRHFxMWPHjiUtLY2kpCTy8/MxNTXF19eX5s2b0717d+677z6aN2+OnZ2dseOKBkSKdiGEEEIIIYQAysvLKS0t5ebNm9y4cYPExEQSEhJIS0tj7969ZGVl4eHhQWZmprGjigZERr4JIYQQQgghBNCoUSMaNWqEi4sLwcHBdO3alVOnTrFixQq8vLwoLCykT58+xo4pGhhZaRdCCCGEEEKI/+/GjRvExcVx4sQJVq5cSXl5Oc2bNyc4OJixY8fStm1bY0cUDYwU7UIIIYQQQogG7/Dhw+zZs4fY2FhOnz6Nra0t48ePJyIigoiICBwcHIwdUTRQUrQLIYQQQgghGjSNRoOLiwtFRUVEREQwc+ZMBg8ebOxYQgBStAshhBBCCCEauLS0NO677z5cXFxwd3enqKgIOzs7vLy88PX1pWnTpgQFBREQEICrq6ux44oGRop2IYQQQgghRINXUFBAamoqly9fJjExkeTkZLKysigoKKCqqorS0lK6dOnCypUrjR1VNDDSPV4IIYQQQgjRoP3www9cvnyZ9u3b06ZNGwYNGoS1tTVVVVXk5OSQnJzMxYsXcXd3N3ZU0QDJSrsQQgghhBCiQZsxYwZ79+7FzMwMrVaLlZUVLi4uNG7cmODgYJo3b46vry9+fn6oVCpjxxUNjBTtQgghhBBCiAZNp9NRXFxMTk4OiYmJREdHc+nSJXJycigqKkKr1ZKbm8vPP/9MSEiIseOKBkaKdiGEEEIIIYT4HVVVVRQUFJCRkcGVK1cYOnQo5ubmxo4lGhgp2oUQQgghhBBCiDpKbewAQgghhBBCCCGE+H1StAshhBBCCCGEEHWUFO1CCCGEEEIIIUQdJUW7EEIIIYQQQghRR0nRLoQQQgghhBBC1FFStAshhBD3kOzsbF588UUCAwOxsLDA19eXQYMGsX///r/189etW4eDg0PthhRCCCHE32Zq7ABCCCGE+HckJyfTtWtXHBwc+Oijj2jZsiVVVVXs2bOH559/nqtXrxo74j9WVVWFmZmZsWMIIYQQRiMr7UIIIcQ94rnnnkOlUnHq1CmGDh1KcHAwLVq04JVXXuHEiRMALFq0iJYtW2JtbY2vry/PPfccJSUlAPz666889dRTFBYWolKpUKlUvPvuuwBUVFTw6quv4u3tjbW1NR07duTXX3+t8ft/+eWX+Pr6YmVlxeDBg1m0aNFdq/bLly8nKCgIc3NzQkJC+Prrr2u8rlKpWL58OQ8//DDW1tbMnTuXJk2a8PHHH9d4X1RUFCqVioSEhH/vD1AIIYSog6RoF0IIIe4BN2/eZPfu3Tz//PNYW1vf9Xp18axWq1myZAkxMTF89dVXHDhwgOnTpwPQpUsXFi9ejJ2dHVlZWWRlZfHqq68C8MILL3D8+HH+85//cPHiRYYPH07fvn2Jj48H4NixYzz77LNMmTKFqKgoHnroIebNm1cjw5YtW5gyZQrTpk3j0qVLTJo0iaeeeoqDBw/WeN+7777L4MGDiY6O5umnn2b8+PGsXbu2xnvWrl3LfffdR5MmTf6VPz8hhBCirlIpiqIYO4QQQggh/jenTp2iY8eObN68mcGDB//tn/fjjz/y7LPPkpubC9w+0z516lQKCgr070lNTSUwMJDU1FS8vLz0zz/44IN06NCB999/n8cee4ySkhJ27Nihf3306NHs2LFD/2t17dqVFi1asHLlSv17RowYQWlpKT///DNwe6V96tSpfPLJJ/r3ZGZm4ufnR2RkJB06dKCqqgovLy8+/vhjxo4d+4/+nIQQQoj6RlbahRBCiHvA370H/8svv/DAAw/g7e2Nra0tY8aMIS8vj7Kysj/8OdHR0Wi1WoKDg7GxsdH/d+jQIRITEwGIjY2lQ4cONX7ebx9fuXKFrl271niua9euXLlypcZz7dq1q/HYy8uLAQMGsGbNGgC2b99ORUUFw4cP/1v/z0IIIUR9Jo3ohBBCiHtA06ZNUalUf9psLjk5mYEDBzJ58mTmzZuHk5MTR48e5emnn6ayshIrK6vf/XklJSWYmJhw9uxZTExMarxmY2Pzr/5/AL+7vX/ChAmMGTOGTz75hLVr1zJy5Mg/zCuEEELcS2SlXQghhLgHODk50adPH5YtW0ZpaeldrxcUFHD27Fl0Oh0LFy6kU6dOBAcHk5mZWeN95ubmaLXaGs9FRESg1WrJycmhSZMmNf7z8PAAICQkhNOnT9f4eb993KxZM44dO1bjuWPHjtG8efO//P/r378/1tbWLF++nN27dzN+/Pi//DlCCCHEvUCKdiGEEOIesWzZMrRaLR06dGDTpk3Ex8dz5coVlixZQufOnWnSpAlVVVV89tlnJCUl8fXXX/PFF1/U+DUCAgIoKSlh//795ObmUlZWRnBwMKNGjeLJJ59k8+bNXLt2jVOnTjF//nz9WfQXX3yRnTt3smjRIuLj41mxYgW7du1CpVLpf+3XXnuNdevWsXz5cuLj41m0aBGbN2/WN7v7MyYmJowbN44ZM2bQtGlTOnfu/O/+4QkhhBB1lBTtQgghxD0iMDCQc+fOcf/99zNt2jTCwsJ46KGH2L9/P8uXLyc8PJxFixbxwQcfEBYWxrfffsv8+fNr/BpdunTh2WefZeTIkbi6uvLhhx8Ct7u1P/nkk0ybNo2QkBAeffRRTp8+jZ+fH3D7bPoXX3zBokWLCA8PZ/fu3bz88stYWlrqf+1HH32UTz/9lI8//pgWLVqwYsUK1q5dS8+ePf/W/1/1Nv6nnnrq3/kDE0IIIeoB6R4vhBBCiFoxceJErl69ypEjR/6VX+/IkSM88MADpKWl4e7u/q/8mkIIIURdJ43ohBBCCPGv+Pjjj3nooYewtrZm165dfPXVV3z++ef/869bUVHBjRs3ePfddxk+fLgU7EIIIRoU2R4vhBBCiH/FqVOneOihh2jZsiVffPEFS5YsYcKECf/zr7thwwb8/f0pKCjQb9cXQgghGgrZHi+EEEIIIYQQQtRRstIuhBBCCCGEEELUUVK0CyGEEEIIIYQQdZQU7UIIIYQQQgghRB0lRbsQQgghhBBCCFFHSdEuhBBCCCGEEELUUVK0CyGEEEIIIYQQdZQU7UIIIYQQQgghRB0lRbsQQgghhBBCCFFH/T/4GbeylqfCYwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create a box plot to visualize the distribution of string lengths for each category\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.boxplot(data=stats_df, x='Category', y='mean', palette='viridis')\n",
    "\n",
    "# Annotate the bars with actual values\n",
    "for index, row in stats_df.iterrows():\n",
    "    plt.text(index, row['mean'], f'{round(row[\"mean\"])}', ha='center', va='bottom', fontsize=10)\n",
    "\n",
    "plt.title('Distribution of Mean Word Length in CVs by Category')\n",
    "plt.xticks(rotation=80)\n",
    "plt.xlabel('Category')\n",
    "plt.ylabel('Mean String Length')\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "b58eda62-724b-4388-9f61-922bbedbbfbb",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Reshape the DataFrame to long format for easier plotting\n",
    "stats_df_long = pd.melt(stats_df, id_vars=['Category'], value_vars=['5%', '80%', '90%'])\n",
    "\n",
    "# Create a bar plot to compare percentiles of word length for each category\n",
    "plt.figure(figsize=(18, 6))\n",
    "sns.barplot(data=stats_df_long, x='Category', y='value', hue='variable', palette='viridis')\n",
    "\n",
    "plt.title('Comparison of Percentiles of Word Length in CVs by Category')\n",
    "plt.xticks(rotation=80)\n",
    "plt.xlabel('Category')\n",
    "plt.ylabel('Word Length Percentiles')\n",
    "plt.legend(title='Percentile')\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "3694614e-6a77-40b5-bf3a-3f13a0ba5d1e",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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uLF9fXx07dkw9e/ZUvnz5tHTpUh0/flxffvmlzfY1bNgwxcfHKzg4WC4uLkpOTtaYMWPUsWPHu64THh6uUaNG2SwDAAAAAABAdpIpI4wGDRqkbt26KTo6Wh4eHtbpzz77rDZu3GjTfS1evFgLFizQwoULtXfvXs2bN08TJkzQvHnz7rrO8OHDFRcXZ32cOHHCppkAAAAAAACcWaaMMNq1a5dmzpyZZvoTTzyhs2fP2nRfQ4YM0bBhw/Tyyy9LkipWrKi//vpL4eHh6tq1a7rruLu7y93d3aY5AAAAAAAAsotMGWHk7u6ebl+gw4cPq0CBAjbd19WrV5Ujh/lluLi4KCUlxab7AQDcXYkSJWSxWNI8+vTpY+9oAAAAAB5CphSMWrZsqQ8++EA3b96UJFksFh0/flxDhw5VmzZtbLqvFi1aaMyYMfrpp5907NgxRUZGauLEiXr++edtuh8AwN3t2rVLZ86csT5WrVolSXrxxRftnAwAAADAw8iUgtEnn3yihIQEFSxYUNeuXVO9evVUqlQpeXt7a8yYMTbd12effaa2bdvqjTfeULly5TR48GD16tVLo0ePtul+AAB3V6BAARUuXNj6+PHHHxUUFKR69erZOxoAAACAh5ApPYx8fX21atUqbdmyRfv371dCQoKqVq2qxo0b23xfuXPn1uTJkzV58mSbbxsA8OBu3Lihr776SoMGDZLFYrF3HAAAAAAPIVMKRqnq1KmjOnXqWJ8fPHhQLVu21OHDhzNztwAAO1q2bJkuX76sbt262TsKAAAAgIeUKZek3U1SUpKOHj2albsEAGSx2bNnKywsTP7+/vaOAgAAAOAhZeoIIwDA4+Wvv/7S6tWrtXTpUntHAQAAAPAIsnSEEQAge5szZ44KFiyo5s2b2zsKAAAAgEdAwQgAYBMpKSmaM2eOunbtKldXBrACAAAAzsymv9HnzZv3nnfE+eeff2y5OwCAA1m9erWOHz+uHj162DsKAAAAgEdk04IRt7YHgMdXkyZNZBiGvWMAAAAAsAGbFoy6du1qy80BAAAAAADADuhhBAAAAAAAABO6ksLpnTp1SkOHDtXPP/+sq1evqlSpUpozZ46qVatm72iAUwkMPGbvCCYxMSXsHQEAAAB4bFEwglP7+++/VadOHTVo0EA///yzChQooOjoaOXNm9fe0QAAAAAAcFoUjODUxo8fr4CAAM2ZM8c6LTAw0I6JAAAAAABwfvQwglNbvny5qlWrphdffFEFCxZUlSpV9Pnnn9s7FgAAAAAAD+zUqVPq1KmT/Pz8lCtXLlWsWFG7d++2SxabjTAaNGhQhpedOHGirXaLx9yff/6piIgIDRo0SO+884527dqlfv36yc3Njbv2AQAAAACchqO1XLFZwWjfvn2m53v37tU///yjsmXLSpIOHz4sFxcXhYaG2mqXgFJSUlStWjWNHTtWklSlShX9+uuvmjFjBgUjAHAg3KAAAADg3hyt5YrNLklbt26d9dGiRQvVq1dPJ0+e1N69e7V3716dOHFCDRo0UPPmzW21S0BFihRR+fLlTdPKlSun48eP2ykRAOBOqd+W5cyZUz///LN+//13ffLJJ9ygAAAA4DaO1nIlU5pef/LJJ/rll19MvwjmzZtXH374oZo0aaK33norM3aLx1CdOnV06NAh07TDhw+rePHidkoEALiTo31bBgAA4IgcreVKpjS9jo+P1/nz59NMP3/+vK5cuZIZu8RjauDAgdq+fbvGjh2rI0eOaOHChZo1a5b69Olj72gAgP/P0b4tAwAAcEQpKSmqWrWqxo4dqypVqui1115Tz549NWPGDLvkyZSC0fPPP6/u3btr6dKlOnnypE6ePKnvvvtOr7zyil544YXM2CUeU9WrV1dkZKS+/vprVahQQaNHj9bkyZPVsWNHe0cDAPx/qd+WlS5dWitXrtTrr7+ufv36ad68efaOBgAA4DAcreVKplySNmPGDA0ePFgdOnTQzZs3b+3I1VWvvPKKPv7448zYJR5jzz33nJ577jl7xwAA3AU3KAAAALg/R2u5YvMRRsnJydq9e7fGjBmjixcvat++fdq3b58uXbqk6dOny8vLy9a71KlTp9SpUyf5+fkpV65cqlixonbv3m3z/QAAgAfnaN+WAQAAOCJHa7li8xFGLi4uatKkif744w8FBgaqUqVKtt6FSeqdVxo0aKCff/5ZBQoUUHR0NHdecSKBgcfsHcEkJqaEvSMAQLbiaN+WAQAAOKLUlivDhw/XBx98oMDAQLu2XMmUS9IqVKigP//8M0vugMKdVwAAcGwDBw5U7dq1NXbsWLVr1047d+7UrFmzNGvWLHtHAwAAcCiO1HIlU5pef/jhhxo8eLB+/PFHnTlzRvHx8aaHLXHnFQAAHBs3KAAAAHA+mTLC6Nlnn5UktWzZUhaLxTrdMAxZLBYlJyfbbF+pd14ZNGiQ3nnnHe3atUv9+vWTm5vbXRtpJiUlKSkpyfrc1kUsAABg5kjflgEAAOD+MqVgtG7duszYbLoe5s4r4eHhGjVqVJZlBAAAAAAAj4fs0qc3UwpG9erVy4zNputud1757rvv7rrO8OHDNWjQIOvz+Ph4BQQEZFpGAAAAAAAAZ5IpBSNJunz5smbPnq0//vhDkhQSEqIePXrI19fXpvt5mDuvuLu7y93d3aY5gOxs5MiRaUbllS1bVgcPHrRTIgBZLbt8UwYAAICMyZSm17t371ZQUJAmTZqkS5cu6dKlS5o4caKCgoK0d+9em+5r4MCB2r59u8aOHasjR45o4cKFmjVrlvr06WPT/QCPu5CQEJ05c8b62Lx5s70jAQAAAAAySaaMMBo4cKBatmypzz//XK6ut3bxzz//6NVXX9WAAQO0ceNGm+0r9c4rw4cP1wcffKDAwEDuvAJkAldXVxUuXNjeMQAAAAAAWSBTCka7d+82FYukW39svv3226pWrZrN98edV4DMFx0dLX9/f3l4eKhWrVoKDw9XsWLF7B0LAAAAAJAJMuWSNB8fHx0/fjzN9BMnTih37tyZsUsAmahmzZqaO3euVqxYoYiICMXExOjpp5/WlStX7B0NAIAsN3LkSFksFtMjODjY3rEAALCpTBlh9NJLL+mVV17RhAkTVLt2bUnSli1bNGTIELVv3z4zdgkgE4WFhVn/v1KlSqpZs6aKFy+uxYsX65VXXrFjMgAA7CMkJESrV6+2Pr99ZD0AANlBpnyyTZgwQRaLRV26dNE///wjScqZM6def/11jRs3LjN2CSAL5cmTR2XKlNGRI0fsHQUAALugtx8AILuz6SVpMTExkiQ3NzdNmTJFf//9t6KiohQVFaVLly5p0qRJ3M4eyAYSEhJ09OhRFSlSxN5RAACwi9TefiVLllTHjh3TbccAAIAzs2nBKCgoSIGBgerRo4e++uor/f3336pYsaIqVqwoT09PW+4KQBYaPHiwNmzYoGPHjmnr1q16/vnn5eLiwiWmAB4b48aNk8Vi0YABA+wdBQ6A3n4AgMeBTS9JW7t2rdavX6/169fr66+/1o0bN1SyZEk1bNhQDRo0UIMGDVSoUCFb7hJAFjh58qTat2+vixcvqkCBAnrqqae0fft2FShQwN7RACDT7dq1SzNnzlSlSpXsHQUOgt5+AIDHgU0LRvXr11f9+vUlSdevX9fWrVutBaR58+bp5s2bCg4O1m+//WbL3QLIZIsWLbJ3BACwi4SEBHXs2FGff/65PvzwQ3vHgYOitx8AIDuy6SVpt/Pw8FDDhg317rvvatSoUerXr5+8vb118ODBzNolAACATfXp00fNmzdX48aN7R0FDozefgCA7Mjmd0m7ceOGtm/frnXr1mn9+vXasWOHAgICVLduXU2dOlX16tWz9S4BZFBg4DF7RzCJiSlh7wgAcFeLFi3S3r17tWvXLntHgYMZPHiwWrRooeLFi+v06dMaMWIEvf0AANmOTQtGDRs21I4dOxQYGKh69eqpV69eWrhwId+2AAAAp3LixAn1799fq1atkoeHh73jwMHQ2w8A8DiwacFo06ZNKlKkiBo2bKj69eurXr168vPzs+UuAAAAMt2ePXsUGxurqlWrWqclJydr48aNmjp1qpKSkuTi4mLHhLAnevsBAB4HNi0YXb58WZs2bdL69es1fvx4tW/fXmXKlFG9evWsBSS+eQEAAI6uUaNGOnDggGla9+7dFRwcrKFDh1IsAgAA2Z5NC0ZeXl5q1qyZmjVrJkm6cuWKNm/erHXr1umjjz5Sx44dVbp0af3666+23C0AAIBN5c6dWxUqVDBN8/Lykp+fX5rpAAAA2ZHNm17fzsvLS/ny5VO+fPmUN29eubq66o8//sjMXQIAAAD35Wg3gpC4GQQAwLHksOXGUlJStHPnTn300UcKCwtTnjx5VLt2bU2fPl2FCxfWtGnT9Oeff9pyl05h3LhxslgsGjBggL2jAACAh7R+/XpNnjzZ3jEAAACyhE1HGOXJk0eJiYkqXLiwGjRooEmTJql+/foKCgqy5W6cyq5duzRz5kxVqlTJ3lEAAAAASbe+0Bw+fLj69+9PIRQAkC6bFow+/vhjNWjQQGXKlLHlZp1WQkKCOnbsqM8//1wffvihveMAAAAAfKEJAMgQmxaMevXqZcvNOb0+ffqoefPmaty4MQUjAACyGD1qgLT4QhMAkFE27WGE/7No0SLt3btX4eHh9o4CAAAASDJ/oQkAwL1k6l3SHlcnTpxQ//79tWrVKnl4eNg7DgAAAGD9QnPXrl32jgIAcAIUjDLBnj17FBsbq6pVq1qnJScna+PGjZo6daqSkpLk4uJix4QAAAB4nPCFJgDgQWW7S9Ic4Rb2jRo10oEDBxQVFWV9VKtWTR07dlRUVBTFIgAAAGSp27/QdHV1laurqzZs2KBPP/1Urq6uSk5OtndE4IFFRESoUqVK8vHxkY+Pj2rVqqWff/7Z3rGAbCNbjTBylDs+5M6dWxUqVDBN8/Lykp+fX5rpAAAAQGZL/UL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",
      "text/plain": [
       "<Figure size 1200x1800 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create a 5x1 subplot\n",
    "fig, axes = plt.subplots(5, 1, figsize=(12, 18), sharex=True)\n",
    "\n",
    "percentiles = ['5%', '50%', '80%', '90%', '95%']\n",
    "colors = ['blue', 'green', 'orange', 'red', 'purple']\n",
    "\n",
    "for i, percentile in enumerate(percentiles):\n",
    "    # Create a bar plot for each percentile\n",
    "    sns.barplot(data=stats_df, x='Category', y=percentile, color=colors[i], ax=axes[i])\n",
    "    \n",
    "    # Annotate the bars with actual values\n",
    "    for index, row in stats_df.iterrows():\n",
    "        value = row[percentile]\n",
    "        axes[i].text(index, value, f'{round(value)}', ha='center', va='bottom', fontsize=10)\n",
    "\n",
    "    axes[i].set_title(f'{percentile} Percentile')\n",
    "    axes[i].set_ylabel('Word Length')\n",
    "\n",
    "# Set the common x-axis label and rotate x-axis ticks\n",
    "plt.xlabel('Category')\n",
    "plt.xticks(rotation=80)\n",
    "plt.suptitle('Comparison of Percentiles of Word Length in CVs by Category')\n",
    "\n",
    "# Adjust spacing between subplots\n",
    "plt.tight_layout(pad=2.0)\n",
    "\n",
    "# Show the plots\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c0dee7ad-b504-4d53-bacd-33a9fbf5b189",
   "metadata": {},
   "source": [
    "## Same EDA on JD Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "7b29b706-254d-4ce7-904b-36093d0b4a15",
   "metadata": {
    "tags": []
   },
   "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>company_name</th>\n",
       "      <th>job_description</th>\n",
       "      <th>position_title</th>\n",
       "      <th>description_length</th>\n",
       "      <th>model_response</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Google</td>\n",
       "      <td>minimum qualifications\\nbachelors degree or eq...</td>\n",
       "      <td>Sales Specialist</td>\n",
       "      <td>2727</td>\n",
       "      <td>{\\n  \"Core Responsibilities\": \"Responsible fo...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Apple</td>\n",
       "      <td>description\\nas an asc you will be highly infl...</td>\n",
       "      <td>Apple Solutions Consultant</td>\n",
       "      <td>828</td>\n",
       "      <td>{\\n  \"Core Responsibilities\": \"as an asc you ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Netflix</td>\n",
       "      <td>its an amazing time to be joining netflix as w...</td>\n",
       "      <td>Licensing Coordinator - Consumer Products</td>\n",
       "      <td>3205</td>\n",
       "      <td>{\\n  \"Core Responsibilities\": \"Help drive bus...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Robert Half</td>\n",
       "      <td>description\\n\\nweb designers looking to expand...</td>\n",
       "      <td>Web Designer</td>\n",
       "      <td>2489</td>\n",
       "      <td>{\\n  \"Core Responsibilities\": \"Designing webs...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>TrackFive</td>\n",
       "      <td>at trackfive weve got big goals were on a miss...</td>\n",
       "      <td>Web Developer</td>\n",
       "      <td>3167</td>\n",
       "      <td>{\\n  \"Core Responsibilities\": \"Build and layo...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  company_name                                    job_description  \\\n",
       "0       Google  minimum qualifications\\nbachelors degree or eq...   \n",
       "1        Apple  description\\nas an asc you will be highly infl...   \n",
       "2      Netflix  its an amazing time to be joining netflix as w...   \n",
       "3  Robert Half  description\\n\\nweb designers looking to expand...   \n",
       "4    TrackFive  at trackfive weve got big goals were on a miss...   \n",
       "\n",
       "                              position_title  description_length  \\\n",
       "0                           Sales Specialist                2727   \n",
       "1                 Apple Solutions Consultant                 828   \n",
       "2  Licensing Coordinator - Consumer Products                3205   \n",
       "3                               Web Designer                2489   \n",
       "4                              Web Developer                3167   \n",
       "\n",
       "                                      model_response  \n",
       "0   {\\n  \"Core Responsibilities\": \"Responsible fo...  \n",
       "1   {\\n  \"Core Responsibilities\": \"as an asc you ...  \n",
       "2   {\\n  \"Core Responsibilities\": \"Help drive bus...  \n",
       "3   {\\n  \"Core Responsibilities\": \"Designing webs...  \n",
       "4   {\\n  \"Core Responsibilities\": \"Build and layo...  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from datasets import load_dataset\n",
    "\n",
    "jd_data = load_dataset('jacob-hugging-face/job-descriptions', split=\"train\")\n",
    "jd_df = pd.DataFrame(jd_data)\n",
    "jd_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "c0a55291-eb76-40d0-8034-b9d5a5deed4b",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Progress Bar: 100%|████████████████████████████████████████████████████████████████| 853/853 [00:00<00:00, 1961.72it/s]\n"
     ]
    }
   ],
   "source": [
    "jd_df['job_description'] = jd_df['job_description'].progress_apply(text_cleaning)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "08b72a2e-c260-425c-8ca1-b56c0a0d1f34",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "725"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# A lot of position_title are present\n",
    "jd_df.position_title.unique()\n",
    "\n",
    "len(jd_df.position_title.unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "5ac36f77-9cba-49f7-9044-603bab99666f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "853"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# A lot of companies\n",
    "jd_df.company_name.unique()\n",
    "\n",
    "len(jd_df.company_name.unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "23957595-b051-41bd-85fa-e2e58c46ec72",
   "metadata": {},
   "source": [
    "### Comapring the word lengths in JDs and CVs\n",
    "\n",
    "Though keep in mind, that number of JDs(=853) are less compared to CVs(=2469). So, results will be biased, this just for visulaization purposes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "6e0d6040-e2b1-44e1-9d48-1192a72a4cfa",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count     853.000000\n",
       "mean      482.649472\n",
       "std       304.695458\n",
       "min         3.000000\n",
       "5%         82.200000\n",
       "50%       441.000000\n",
       "80%       702.000000\n",
       "90%       849.800000\n",
       "95%      1001.000000\n",
       "max      3581.000000\n",
       "Name: job_description, dtype: float64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Analyzing Mean Word length(and Percentile wise) in Job Descriptions\n",
    "jd_df['job_description'].str.split().str.len().describe(percentiles=[0.05,0.5,0.8,0.9,0.95])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "7ca04133-6847-4a12-a929-09c6f48bdc86",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    2469.000000\n",
       "mean       66.242608\n",
       "std       110.373687\n",
       "min         0.000000\n",
       "5%          3.000000\n",
       "50%        42.000000\n",
       "80%        80.000000\n",
       "90%       113.000000\n",
       "95%       176.000000\n",
       "max      1487.000000\n",
       "Name: CV, dtype: float64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Analyzing Mean Word length(and Percentile wise) in extracted resumes\n",
    "resume_df['CV'].str.split().str.len().describe(percentiles=[0.05,0.5,0.8,0.9,0.95])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "e6be1a49-1f41-45e9-b677-b0b288073c6a",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "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>Type</th>\n",
       "      <th>Statistic</th>\n",
       "      <th>Value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Job Descriptions</td>\n",
       "      <td>count</td>\n",
       "      <td>853.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Job Descriptions</td>\n",
       "      <td>mean</td>\n",
       "      <td>482.649472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Job Descriptions</td>\n",
       "      <td>5%</td>\n",
       "      <td>82.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Job Descriptions</td>\n",
       "      <td>50%</td>\n",
       "      <td>441.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Job Descriptions</td>\n",
       "      <td>80%</td>\n",
       "      <td>702.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Job Descriptions</td>\n",
       "      <td>90%</td>\n",
       "      <td>849.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Job Descriptions</td>\n",
       "      <td>95%</td>\n",
       "      <td>1001.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>CVs</td>\n",
       "      <td>count</td>\n",
       "      <td>2469.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>CVs</td>\n",
       "      <td>mean</td>\n",
       "      <td>66.242608</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>CVs</td>\n",
       "      <td>5%</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>CVs</td>\n",
       "      <td>50%</td>\n",
       "      <td>42.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>CVs</td>\n",
       "      <td>80%</td>\n",
       "      <td>80.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>CVs</td>\n",
       "      <td>90%</td>\n",
       "      <td>113.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>CVs</td>\n",
       "      <td>95%</td>\n",
       "      <td>176.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Type Statistic        Value\n",
       "0   Job Descriptions     count   853.000000\n",
       "1   Job Descriptions      mean   482.649472\n",
       "2   Job Descriptions        5%    82.200000\n",
       "3   Job Descriptions       50%   441.000000\n",
       "4   Job Descriptions       80%   702.000000\n",
       "5   Job Descriptions       90%   849.800000\n",
       "6   Job Descriptions       95%  1001.000000\n",
       "7                CVs     count  2469.000000\n",
       "8                CVs      mean    66.242608\n",
       "9                CVs        5%     3.000000\n",
       "10               CVs       50%    42.000000\n",
       "11               CVs       80%    80.000000\n",
       "12               CVs       90%   113.000000\n",
       "13               CVs       95%   176.000000"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculate word lengths and describe statistics for job descriptions\n",
    "jd_word_lengths = jd_df['job_description'].str.split().str.len()\n",
    "jd_stats = jd_word_lengths.describe(percentiles=[0.05, 0.5, 0.8, 0.9, 0.95]).drop(['std', 'min', 'max'])\n",
    "\n",
    "# Calculate word lengths and describe statistics for CVs\n",
    "resume_word_lengths = resume_df['CV'].str.split().str.len()\n",
    "resume_stats = resume_word_lengths.describe(percentiles=[0.05, 0.5, 0.8, 0.9, 0.95]).drop(['std', 'min', 'max'])\n",
    "\n",
    "# Create separate DataFrames for job descriptions and CVs\n",
    "jd_df_stats = pd.DataFrame({\n",
    "    'Type': 'Job Descriptions',\n",
    "    'Statistic': jd_stats.index,\n",
    "    'Value': jd_stats.values\n",
    "})\n",
    "\n",
    "resume_stats_df = pd.DataFrame({\n",
    "    'Type': 'CVs',\n",
    "    'Statistic': resume_stats.index,\n",
    "    'Value': resume_stats.values\n",
    "})\n",
    "\n",
    "# Concatenate the DataFrames for plotting\n",
    "comparison_df = pd.concat([jd_df_stats, resume_stats_df], ignore_index=True)\n",
    "comparison_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "69c59432-7490-4532-bb73-72c254426d3b",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create a box plot to compare word lengths\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.barplot(data=comparison_df, x='Type', y='Value', hue='Statistic', palette='Set2')\n",
    "\n",
    "\n",
    "plt.title('Comparison of Word Lengths: Job Descriptions vs. CVs')\n",
    "plt.xlabel('Type')\n",
    "plt.ylabel('Word Length')\n",
    "plt.legend(title='Statistic', loc='upper left')\n",
    "plt.xticks(rotation=0)\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1deff036-71b5-43d7-ac56-6ced0d33075b",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.9"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {},
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}