1237 lines (1236 with data), 407.3 kB

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1 align=\"center\">Chinese eligibility criteria classification using Support Vector Machine (SVM)</h1>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this notebook, we will \n",
    "\n",
    "<ol>\n",
    "    <li>convert criteria sentence to feature vector by Bert-as-Service, </li> \n",
    "    <li>train Support Vector Machine model for criteria sentence classification, </li>\n",
    "    <li>and evalute the performance in test data.</li>\n",
    "</ol>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Data\n",
    "* 30644 critering sentences for training\n",
    "* 7697 critering sentences for testing\n",
    "* 44 semantic categories"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "|#|group topics|semantic categories|\n",
    "|---|---|----\n",
    "|1|`Health Status`|`Disease` `Symptom` `Sign` `Pregnancy-related Activity` `Neoplasm Status` `Non-Neoplasm Disease Stage` `Allergy Intolerance` `Organ or Tissue Status` `Life Expectancy` `Oral related`\n",
    "|2|`Treatment or Health Care`|`Pharmaceutical Substance or Drug` `Therapy or Surgery` `Device` `Nursing`\n",
    "|3|`Diagnostic or Lab Test`|`Diagnostic` `Laboratory Examinations` `Risk Assessment` `Receptor Status`\n",
    "|4|`Demographic Characteristics`|`Age` `Special Patient Characteristic` `Literacy` `Gender` `Education` `Address` `Ethnicity`\n",
    "|5|`Ethical Consideration`|`Consent` `Enrollment in other studies` `Researcher Decision` `Capacity` `Ethical Audit` `Compliance with Protocol`\n",
    "|6|`Lifestyle Choice`|`Addictive Behavior` `Bedtime` `Exercise` `Diet` `Alcohol Consumer` `Sexual related` `Smoking Status` `Blood Donation`\n",
    "|7|`Data or Patient Source`|`Encounter` `Disabilities` `Healthy` `Data Accessible`\n",
    "|8|`Other`|`Multiple`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Bert-as-service"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<ol>\n",
    "<li>download <a href=https://github.com/hanxiao/bert-as-service>bert-as-service</a></li>\n",
    "\n",
    "``` shell\n",
    "pip install bert-serving-server  # server\n",
    "pip install bert-serving-client  # client, independent of `bert-serving-server\n",
    "```\n",
    "<br>\n",
    "<li>download chinese_L-12_H-768_A-12</li>\n",
    "<br>\n",
    "<li>start bert-as-service in terminal</li>\n",
    "    \n",
    "```shell\n",
    "bert-serving-start -model_dir chinese_L-12_H-768_A-12 -num_worker=4  -max_seq_len=50\n",
    "```\n",
    "<br>  \n",
    "<li>test bert-as-service</li>\n",
    "    \n",
    "```python\n",
    "from bert_serving.client import BertClient\n",
    "bc = BertClient()\n",
    "v = bc.encode([\"4.年龄小于65岁。\", \"存在严重的合并症者\"])\n",
    "print(v.shape)\n",
    "print(v)  \n",
    "```\n",
    "<br>\n",
    "</ol>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "load packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from __future__ import division\n",
    "\n",
    "import os\n",
    "import codecs\n",
    "import time \n",
    "import math\n",
    "import pickle\n",
    "\n",
    "import matplotlib\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from sklearn.metrics import confusion_matrix\n",
    "from sklearn.model_selection import GridSearchCV # \n",
    "from sklearn.svm import SVC\n",
    "\n",
    "%matplotlib inline "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### train data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_file = \"../data/train.txt\" \n",
    "train_data = pd.read_csv(train_file, sep=\"\\t\", header=None, names=[\"id\", \"category\", \"sentence\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train data size：30644\n",
      "train dara example：\n"
     ]
    },
    {
     "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>id</th>\n",
       "      <th>category</th>\n",
       "      <th>sentence</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>Therapy or Surgery</td>\n",
       "      <td>研究开始前30天内，接受过其他临床方案治疗；</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s2</td>\n",
       "      <td>Sign</td>\n",
       "      <td>（9）严重的听力或者视力损害</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>s3</td>\n",
       "      <td>Addictive Behavior</td>\n",
       "      <td>10)现在或曾经滥用药物或酗酒，或者每天饮用相当于30毫升酒精的酒精饮料。</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>s4</td>\n",
       "      <td>Age</td>\n",
       "      <td>4.年龄小于65岁。</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>s5</td>\n",
       "      <td>Disease</td>\n",
       "      <td>⑧有精神疾病患者；</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id            category                                sentence\n",
       "0  s1  Therapy or Surgery                  研究开始前30天内，接受过其他临床方案治疗；\n",
       "1  s2                Sign                          （9）严重的听力或者视力损害\n",
       "2  s3  Addictive Behavior   10)现在或曾经滥用药物或酗酒，或者每天饮用相当于30毫升酒精的酒精饮料。\n",
       "3  s4                 Age                              4.年龄小于65岁。\n",
       "4  s5             Disease                               ⑧有精神疾病患者；"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"train data size：{}\".format(len(train_data)))\n",
    "print(\"train dara example：\")\n",
    "train_data.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "categories and counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            category  count\n",
      "0                 Addictive Behavior    362\n",
      "1                            Address     42\n",
      "2                                Age   1221\n",
      "3                   Alcohol Consumer     23\n",
      "4                Allergy Intolerance    895\n",
      "5                            Bedtime     25\n",
      "6                     Blood Donation     40\n",
      "7                           Capacity    218\n",
      "8           Compliance with Protocol    500\n",
      "9                            Consent   1767\n",
      "10                   Data Accessible     95\n",
      "11                            Device    168\n",
      "12                        Diagnostic   1645\n",
      "13                              Diet     81\n",
      "14                      Disabilities     25\n",
      "15                           Disease   6820\n",
      "16                         Education     27\n",
      "17                         Encounter     94\n",
      "18       Enrollment in other studies    686\n",
      "19                     Ethical Audit     23\n",
      "20                         Ethnicity     18\n",
      "21                          Exercise     28\n",
      "22                            Gender     40\n",
      "23                           Healthy     51\n",
      "24           Laboratory Examinations   1516\n",
      "25                   Life Expectancy    222\n",
      "26                          Literacy     70\n",
      "27                          Multiple   6092\n",
      "28                   Neoplasm Status    180\n",
      "29        Non-Neoplasm Disease Stage    137\n",
      "30                           Nursing     34\n",
      "31                      Oral related     69\n",
      "32            Organ or Tissue Status    478\n",
      "33  Pharmaceutical Substance or Drug   1175\n",
      "34        Pregnancy-related Activity   1368\n",
      "35                   Receptor Status     38\n",
      "36               Researcher Decision    616\n",
      "37                   Risk Assessment    941\n",
      "38                    Sexual related     30\n",
      "39                              Sign    377\n",
      "40                    Smoking Status     73\n",
      "41    Special Patient Characteristic    137\n",
      "42                           Symptom    206\n",
      "43                Therapy or Surgery   1991\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "category_count = train_data.groupby(['category'], as_index=False)['category'].agg({'count': 'count'})\n",
    "fig, ax = plt.subplots(figsize=(15, 5))\n",
    "fig = sns.barplot(x=category_count[\"category\"], y=category_count[\"count\"], palette=\"deep\", ax=ax)\n",
    "_ = ax.set_xticklabels(labels=category_count[\"category\"], rotation=45, ha='right')\n",
    "ax.set_title(\"The eligibility criteria distribution of each semantic category in the train dataset\")\n",
    "print(category_count)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### test data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_file = \"../data/test.txt\" \n",
    "test_data = pd.read_csv(test_file, sep=\"\\t\", header=None, names=[\"id\", \"category\", \"sentence\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "test data size：7697\n",
      "test dara example：\n"
     ]
    },
    {
     "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>id</th>\n",
       "      <th>category</th>\n",
       "      <th>sentence</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>Multiple</td>\n",
       "      <td>2）性别不限，年龄18～70岁；</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s2</td>\n",
       "      <td>Multiple</td>\n",
       "      <td>（1）以原发性胃癌为诊断入院，年龄在18岁至70岁之间的患者；</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>s3</td>\n",
       "      <td>Disease</td>\n",
       "      <td>（6）合并造血系统或恶性肿瘤等严重原发性疾病；</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>s4</td>\n",
       "      <td>Researcher Decision</td>\n",
       "      <td>-其他研究者认为不适合参加本研究的患者</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>s5</td>\n",
       "      <td>Capacity</td>\n",
       "      <td>3、儿童家长能回答或看懂研究用量表者。</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id             category                         sentence\n",
       "0  s1             Multiple                 2）性别不限，年龄18～70岁；\n",
       "1  s2             Multiple  （1）以原发性胃癌为诊断入院，年龄在18岁至70岁之间的患者；\n",
       "2  s3              Disease          （6）合并造血系统或恶性肿瘤等严重原发性疾病；\n",
       "3  s4  Researcher Decision              -其他研究者认为不适合参加本研究的患者\n",
       "4  s5             Capacity              3、儿童家长能回答或看懂研究用量表者。"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"test data size：{}\".format(len(test_data)))\n",
    "print(\"test dara example：\")\n",
    "test_data.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "categories and counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            category  count\n",
      "0                 Addictive Behavior     88\n",
      "1                            Address     12\n",
      "2                                Age    305\n",
      "3                   Alcohol Consumer      6\n",
      "4                Allergy Intolerance    223\n",
      "5                            Bedtime     12\n",
      "6                     Blood Donation     11\n",
      "7                           Capacity     56\n",
      "8           Compliance with Protocol    120\n",
      "9                            Consent    433\n",
      "10                   Data Accessible     25\n",
      "11                            Device     46\n",
      "12                        Diagnostic    417\n",
      "13                              Diet     23\n",
      "14                      Disabilities      7\n",
      "15                           Disease   1698\n",
      "16                         Education      7\n",
      "17                         Encounter     25\n",
      "18       Enrollment in other studies    174\n",
      "19                     Ethical Audit     11\n",
      "20                         Ethnicity      5\n",
      "21                          Exercise      7\n",
      "22                            Gender     11\n",
      "23                           Healthy     13\n",
      "24           Laboratory Examinations    385\n",
      "25                   Life Expectancy     55\n",
      "26                          Literacy     16\n",
      "27                          Multiple   1540\n",
      "28                   Neoplasm Status     44\n",
      "29        Non-Neoplasm Disease Stage     32\n",
      "30                           Nursing      6\n",
      "31                      Oral related     19\n",
      "32            Organ or Tissue Status    120\n",
      "33  Pharmaceutical Substance or Drug    300\n",
      "34        Pregnancy-related Activity    344\n",
      "35                   Receptor Status      9\n",
      "36               Researcher Decision    151\n",
      "37                   Risk Assessment    228\n",
      "38                    Sexual related     13\n",
      "39                              Sign     97\n",
      "40                    Smoking Status     19\n",
      "41    Special Patient Characteristic     38\n",
      "42                           Symptom     50\n",
      "43                Therapy or Surgery    496\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "category_count = test_data.groupby(['category'], as_index=False)['category'].agg({'count': 'count'})\n",
    "fig, ax = plt.subplots(figsize=(15, 5))\n",
    "fig = sns.barplot(x=category_count[\"category\"], y=category_count[\"count\"], palette=\"deep\", ax=ax)\n",
    "_ = ax.set_xticklabels(labels=category_count[\"category\"], rotation=45, ha='right')\n",
    "ax.set_title(\"The eligibility criteria distribution of each semantic category in the test dataset\")\n",
    "print(category_count)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Feature construction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**convert labels to number or number to labels.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "labels = [\"Disease\",\"Symptom\",\"Sign\",\"Pregnancy-related Activity\",\"Neoplasm Status\",\"Non-Neoplasm Disease Stage\",\n",
    "        \"Allergy Intolerance\",\"Organ or Tissue Status\",\"Life Expectancy\",\"Oral related\",\n",
    "        \"Pharmaceutical Substance or Drug\",\"Therapy or Surgery\",\"Device\",\"Nursing\",\"Diagnostic\",\n",
    "        \"Laboratory Examinations\",\"Risk Assessment\",\"Receptor Status\",\"Age\",\"Special Patient Characteristic\",\n",
    "        \"Literacy\",\"Gender\",\"Education\",\"Address\",\"Ethnicity\",\"Consent\",\"Enrollment in other studies\",\n",
    "        \"Researcher Decision\",\"Capacity\",\"Ethical Audit\",\"Compliance with Protocol\",\"Addictive Behavior\",\n",
    "        \"Bedtime\",\"Exercise\",\"Diet\",\"Alcohol Consumer\",\"Sexual related\",\"Smoking Status\",\"Blood Donation\",\n",
    "        \"Encounter\",\"Disabilities\",\"Healthy\",\"Data Accessible\",\"Multiple\"]\n",
    "label2index = dict()\n",
    "index2label = dict()\n",
    "for (i, label) in enumerate(labels):\n",
    "    label2index[label] = i\n",
    "    index2label[i] = label"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**choice 1: convert criteria sentences into feature matrix using bert-as-service inline**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train = bc.encode(list(train_data[\"sentence\"]))\n",
    "y_train = train_data[\"category\"].apply(lambda x: label2index.get(x))\n",
    "print(\"X_train shape:\", X_train.shape, \"y_train shape:\", y_train.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_test = np.array(bc.encode(list(test_data[\"sentence\"])))\n",
    "y_test = np.array(test_data[\"category\"].apply(lambda x: label2index.get(x)))\n",
    "print(\"X_test shape:\", X_test.shape, \"y_test shape:\", y_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "save the feature as .npy file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.save(\"../data/feature_matraix (by bert-as-service)/X_train.npy\", X_train)\n",
    "np.save(\"../data/feature_matraix (by bert-as-service)/X_test.npy\", X_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**choice 2: load the feature from file, (we save as .npy format)**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X_train shape: (30644, 768) y_train shape: (30644,)\n"
     ]
    }
   ],
   "source": [
    "X_train = np.load(\"../data/feature_matraix (by bert-as-service)/X_train.npy\")\n",
    "y_train = train_data[\"category\"].apply(lambda x: label2index.get(x))\n",
    "print(\"X_train shape:\", X_train.shape, \"y_train shape:\", y_train.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X_test shape: (7697, 768) y_test shape: (7697,)\n"
     ]
    }
   ],
   "source": [
    "X_test = np.load(\"../data/feature_matraix (by bert-as-service)/X_test.npy\")\n",
    "y_test = np.array(test_data[\"category\"].apply(lambda x: label2index.get(x)))\n",
    "print(\"X_test shape:\", X_test.shape, \"y_test shape:\", y_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Support Vector Machine ( using scikit-learn)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### parameter optimization (GridSearchCV)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "optimize parameters by cross-validated grid-search over a parameter grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tuning parameters took 16571.688425064087s!\n"
     ]
    }
   ],
   "source": [
    "start_time = time.time()\n",
    "lr = SVC(random_state=2021)\n",
    "parameters = {\"C\": [1e-2, 1e-1, 1e0, 1e1, 1e2], 'gamma': [1e-3,1e-2, 1e-1, 1e0, 1e1]}\n",
    "clf = GridSearchCV(lr, parameters, cv=3, scoring=\"f1_macro\", n_jobs=8)\n",
    "clf.fit(X_train, y_train)\n",
    "print(\"tuning parameters took {}s!\".format(time.time() - start_time))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "show scores and rank under different parameters setting."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>C</th>\n",
       "      <th>gamma</th>\n",
       "      <th>rank_test_score</th>\n",
       "      <th>mean_test_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>10.00</td>\n",
       "      <td>0.010</td>\n",
       "      <td>1</td>\n",
       "      <td>0.782598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>100.00</td>\n",
       "      <td>0.010</td>\n",
       "      <td>2</td>\n",
       "      <td>0.782265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>100.00</td>\n",
       "      <td>0.001</td>\n",
       "      <td>3</td>\n",
       "      <td>0.779740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>10.00</td>\n",
       "      <td>0.001</td>\n",
       "      <td>4</td>\n",
       "      <td>0.747282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1.00</td>\n",
       "      <td>0.010</td>\n",
       "      <td>5</td>\n",
       "      <td>0.722986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>100.00</td>\n",
       "      <td>0.100</td>\n",
       "      <td>6</td>\n",
       "      <td>0.464994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>10.00</td>\n",
       "      <td>0.100</td>\n",
       "      <td>7</td>\n",
       "      <td>0.464009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1.00</td>\n",
       "      <td>0.100</td>\n",
       "      <td>8</td>\n",
       "      <td>0.417890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1.00</td>\n",
       "      <td>0.001</td>\n",
       "      <td>9</td>\n",
       "      <td>0.350853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.10</td>\n",
       "      <td>0.010</td>\n",
       "      <td>10</td>\n",
       "      <td>0.317312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.10</td>\n",
       "      <td>0.001</td>\n",
       "      <td>11</td>\n",
       "      <td>0.208355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>10.00</td>\n",
       "      <td>1.000</td>\n",
       "      <td>12</td>\n",
       "      <td>0.160399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>100.00</td>\n",
       "      <td>1.000</td>\n",
       "      <td>12</td>\n",
       "      <td>0.160399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1.00</td>\n",
       "      <td>1.000</td>\n",
       "      <td>14</td>\n",
       "      <td>0.144406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>10.00</td>\n",
       "      <td>10.000</td>\n",
       "      <td>15</td>\n",
       "      <td>0.133973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>100.00</td>\n",
       "      <td>10.000</td>\n",
       "      <td>15</td>\n",
       "      <td>0.133973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1.00</td>\n",
       "      <td>10.000</td>\n",
       "      <td>17</td>\n",
       "      <td>0.133861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010</td>\n",
       "      <td>18</td>\n",
       "      <td>0.109396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.10</td>\n",
       "      <td>0.100</td>\n",
       "      <td>19</td>\n",
       "      <td>0.100190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.01</td>\n",
       "      <td>0.001</td>\n",
       "      <td>20</td>\n",
       "      <td>0.025999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.10</td>\n",
       "      <td>1.000</td>\n",
       "      <td>21</td>\n",
       "      <td>0.008686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.10</td>\n",
       "      <td>10.000</td>\n",
       "      <td>22</td>\n",
       "      <td>0.008275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.01</td>\n",
       "      <td>10.000</td>\n",
       "      <td>22</td>\n",
       "      <td>0.008275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.01</td>\n",
       "      <td>1.000</td>\n",
       "      <td>22</td>\n",
       "      <td>0.008275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.01</td>\n",
       "      <td>0.100</td>\n",
       "      <td>22</td>\n",
       "      <td>0.008275</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         C   gamma  rank_test_score  mean_test_score\n",
       "16   10.00   0.010                1         0.782598\n",
       "21  100.00   0.010                2         0.782265\n",
       "20  100.00   0.001                3         0.779740\n",
       "15   10.00   0.001                4         0.747282\n",
       "11    1.00   0.010                5         0.722986\n",
       "22  100.00   0.100                6         0.464994\n",
       "17   10.00   0.100                7         0.464009\n",
       "12    1.00   0.100                8         0.417890\n",
       "10    1.00   0.001                9         0.350853\n",
       "6     0.10   0.010               10         0.317312\n",
       "5     0.10   0.001               11         0.208355\n",
       "18   10.00   1.000               12         0.160399\n",
       "23  100.00   1.000               12         0.160399\n",
       "13    1.00   1.000               14         0.144406\n",
       "19   10.00  10.000               15         0.133973\n",
       "24  100.00  10.000               15         0.133973\n",
       "14    1.00  10.000               17         0.133861\n",
       "1     0.01   0.010               18         0.109396\n",
       "7     0.10   0.100               19         0.100190\n",
       "0     0.01   0.001               20         0.025999\n",
       "8     0.10   1.000               21         0.008686\n",
       "9     0.10  10.000               22         0.008275\n",
       "4     0.01  10.000               22         0.008275\n",
       "3     0.01   1.000               22         0.008275\n",
       "2     0.01   0.100               22         0.008275"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf_results = pd.DataFrame(clf.cv_results_[\"params\"])\n",
    "clf_results[\"rank_test_score\"] = clf.cv_results_[\"rank_test_score\"]\n",
    "clf_results[\"mean_test_score\"] = clf.cv_results_[\"mean_test_score\"]\n",
    "clf_results.sort_values(\"rank_test_score\",inplace=True)\n",
    "clf_results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "get the best parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'C': 10.0, 'gamma': 0.01}\n"
     ]
    }
   ],
   "source": [
    "best_params = clf.best_params_\n",
    "print(best_params)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "training took 256.95481729507446s!\n"
     ]
    }
   ],
   "source": [
    "start_time = time.time()\n",
    "model = SVC(random_state=2021, gamma=best_params[\"gamma\"], C=best_params[\"C\"])\n",
    "# model = SVC(random_state=2021, gamma=0.01, C=100)\n",
    "model.fit(X_train, y_train)\n",
    "print(\"training took {}s!\".format(time.time() - start_time))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### predict"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "predict label of test data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[43 43  0 ... 36 36 36]\n"
     ]
    }
   ],
   "source": [
    "pred_test = model.predict(X_test)\n",
    "print(pred_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "save predict results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "with codecs.open(\"SVM_test_pred.txt\", \"w\", encoding=\"utf-8\") as outf:\n",
    "    for (i, c, s) in zip(test_data[\"id\"], pred_test, test_data[\"sentence\"]):\n",
    "        outf.write(\"{}\\t{}\\t{}\\r\\n\".format(i, index2label.get(c), s))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### evaluation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "show predict results by confusion matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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LGdjvdPr1P5OTTzkNgGeffnLr7T6nn8G0qVNSdISpN3bMu7Rq1Zp9992XXXbZhVNOOY2PPpwUd3yzZhlbFxcCKChYREZGxg5rPxWSPQaIvQ4G9O1DvwEDOeXU01KSV5MmTahduza1atVi8JChTJtW9esomRxS0QelGjZsyMGHHsa7o0bSLCOTE085FYCTTzmVTz/5uNK40vYaN27MSaecytQE3jcfTprI8OFv0KFdK84e2J9x743l3LPP2qb8S4/h0MMOZ9SoEXHHpLoPE20/FZI9hnSPj0oOyYhK/lH5PNoW/jqKRh8kK+znYHse/wvPPMnaH38EGGg/Lcy0CBhvZsvNbD3wNpCbkgZdpPhggguNmS0Dzgd+r5jDJA0HkHRoMINhlqSZkuoH+6+UNFXSx5KuL61L0muSpgczHs4P9tWW9ISkTyV9IunSYH9bSSOC8hMkZW2P46u1+y/YrfNgdss+my/nzicjM5NJk6dvXT13zZo1fDDhfU446WQAMlu0YOrkyaxfv54Xn3+OBnvtldAK8mbGb4edR4esLC665LKt+/dr2owJ498HYNx7Y2nXrn0KjzK1mjdvwZQpH7F+/XrMjPfGjqFDAn2Q36MH8+bNZcH8+RQVFfHSC89z/Akn7bD2UyHZYzAzLhg6hA5ZHfnDpZdVHxCnJUuWbL39+muv0im783bLIdk+WP7DD6xevRqADRs28N6Yd2nfoQMnnHgyE95/D4AJ49+nXfv9K4xft24da9eu3Xr73dGjyK7ieMv720238PWCRcyZt4Ann3meww4/gsefTGyGyw/ljmHMu6Pp0CH+j6pk+zDZ9lMh2WNI9/io5JCMKOQf9udRsvx1FI0+SFbYz8H2Ov733h3JA/feSas2bQgGDUqNBLpI2iNYjPFQ4POkG3SR41dzcKEys28k1QbKr4R2BfA7M5soqR6wUdJRQHugJyDgDUmHmNl4YLCZrZS0OzBV0n+BVkCGmXUGkNQwqPth4AIzmyupF/AAcESyx1K0YBRbCgtg80Y2fvYEdfbrSZ1fVL7K7huvv8qvjjxq66USe/bsxSmn9eGAHt2Z/803nHJaHwafd37c7X84aSLPPfMU2Z278Mse3QG47oabuP/Bh/nj5ZdQsnkzu+62G/c/WPn532efNYAJ749j+fLltG2VyTXXXs+gwfGfFnHOWWcyfvw4VixfTrvWzfnLtdex996NuPzSi1n+ww+cdvLxdO2Ww5tvj6wwvmevXpx62un8smcuderUoVu37gwZGn8f1KlTh7vuuZ8Tjz+akpISzhk0mE7Z8V/CKdn2Ifk+TPYYJk2cyLPPPEXnzl3olZcDwPU33swxxx4Xdx0VPY8T3n+fj2fPQhItW7Xivgf+td1ySLYPli5dwgVDz6WkpIQtW7Zwap8zOPa4E/jlgb0579yzeOC+e9izXj0e/NejFcYv+/57+p0em8GwuWQz/fqfyVFHHxN3+6mwdMkShg4+J3YMtoU+p/fluONPiDs+6T5Msn0I/72Q7vFRyCHdn0MI//MIkuvHmvA6gvTvg3R/L6SiDy8c8hs+/GA8K1csJ69TGy6/6hruv+s2NhUVsWrFCiTNAj4yswvMbJWkfwBTiV3V+W0zeyuhBncEv5pD0hTPZcKcSxVJhWZWr9y+1UAHoCNwhZmdIOkq4FRi5169YmaLJN0BnA6sDkLrAbeY2b8lXReUh9ggwtHAHGAasalVbwGjgD2AH4LHSu1qZv/z83MwwyH2TXKXenm7ZZ+zzce9csp92xwLUM2lf+NSu1ZyH5jJflZsy/oPLvXS/XmM59KQ1dmljk/Kc84558qq7tKQVTnmsF8ye+b0tPpDr9ZeLWzX3leEnUZcNr79h+lmVvm11UPkMxNcqCS1AUqAZcQGEwAws1slvQUcB0yUdDSx2Qi3mNm/ytVxGHAk8EszWy9pHLBbMCrajdjAwgVAX+ASYLWZ5VSXm5k9TGwWA7X2aOyjbs4555xzzjkX8J9nXGgk7Qs8BNxv5X4uldTWzD4xs78TmyKVRez8q8HBaQ9IypDUGNgLWBUMJGQBBwSP7wPUMrP/An8Bcs3sR2C+pDOCMgoGHJxzzjnnnHPOxclnJrgdbffgnKpdiF1C5ingHxWUu0TS4cAW4DPgHTPbJKkj8GEw1boQOAsYAVwg6Qtipy98FNSRATxeeulJ4M/BvwOBByX9JcjjeWB2So/SOeecc845F00i8pddTAc+mOB2KDOrXcVj44Bxwe2LKilzD3BPBQ8dW0m1/3MZGjObD+zY1dScc84555xzrgbx4RjnnHPOOeecc84lxGcmOOecc84555zbichPc0gBH0xwLg45HVsw8aNtv7xjSZLXdqxTO/wPu7AvCehSI92fR7+so3POOZd6DffYZZtjk738uEtf/leZcym0evVqzux3BjmdO9K9Sycmf/Rh3LGLFi7kuKN+RX5OZ3p078ID99/7s8fvvutOdt9FLF++vML4r+bMoVdeztatcaMG3HfP3QnlP+y8wbRo1pi8nM4JxZU1auQIumZ3IDurHbffdmtatZ+K+CjkkO7xydbhr6OaER+FHMKOj0IOycYn+370PvQ+SEV8FHJI9/hhQwfTMqMJ+TldEo51NZiZ+eabb9Vs3XPzbH3Rlmq3gWedbf986GFbX7TFVhdutMXLVtr6oi22dmNJtdvc+YtswodTbe3GElv8w2pr2669TZ35ia3dWGJfffOdHfnro6x5ixa2cMkPtqHYqtwKN262Jk2a2JfzFlRbtuw2euz7NmnydOuUnZ1QXNl2W7dpY5/P+drWrNtkXbp0tRmzP0ub9pONj0IO6R7vr6No5BB2fBRyCDs+Cjmk4hiSeT96H3ofeB/suPjq/sYdNWacTZw8zTp1yv6fx7rn5lnYf6snummvFrbbiQ+kxQZMC7u/Ktt8ZoJzKbJmzRo++GA8g84dAkDdunVp2LBh3PH7NW1KTvfYxSfq169Ph6wsFhcUAPDHKy7lpltui3uK+ntjx9C6TVtatmyZ0DH0PvgQGjVqlFBMWVOnTKFt23a0btOGunXrcka//gx/8/W0aT/Z+CjkkO7xqajDX0fpHx+FHMKOj0IOqTiGZN6P3ofeB6mIj0IO6R4PwXt5723/v9XVTD6Y4FyKLJg/n3322Zdh5w3mgB65XDjsPNatW7dNdX27YAEfz5pFfs9eDH/zdZo1y6Brt25xx7/0wvP07Tdgm9pOxuLFBWRmNt96PyMjk4JgQCQd2k9F/mHnkO7xqaojGTWhD9I9Pgo5hB0fhRzS/b2YijrSPT4KOYQdH4Uc0j3eucr4YIJLOUlXS/pM0seSZknqtZ3aaSjpt9uj7m2xuWQzs2bO4LxhF/DR1Bnsueee3LEN56QVFhZy1oAzuPWOf1CnTh3uvO1Wrr3uhrjji4qKeGv4G5x2+hkJt+2cc84555xz8fDBBJdSkn4JnADkmllX4Ehg4XZqriEQmcGEjIxMMjIz6dkzNnZy6mmnM2vWzITqKC4u5qz+p9O3/5mcfMppzP/maxYsmE/PvG50aNeKgkWL+GXPXJYuXVppHSNHvENO91yaNGmS1PFsi2bNMli06Kenu6BgERkZGWnTfiryDzuHdI9PVR3JqAl9kO7xUcgh7Pgo5JDu78VU1JHu8VHIIez4KOSQ7vE1lmqlxxZh0c7OpaOmwHIz2wRgZsuBLEmvlRaQ9GtJrwa3CyXdHsxkeFdST0njJH0j6aSgzCBJrwf750r6a1DVrUDbYPbD7Yq5XdKnkj6R1C+IP0zS+0Ed30i6VdJASVOCcm1TceD77bcfmZnN+WrOHCC2bkHHjh3jjjczfjfsPDpkdeSiP1wKQHbnLsxfuJQ58xYwZ94CMjIz+XDKDPbbb79K63nxhedCOcUBIL9HD+bNm8uC+fMpKiripRee5/gTTkqb9lORf9g5pHt8qupIRk3og3SPj0IOYcdHIYd0fy+moo50j49CDmHHRyGHdI93rjJ1wk7A1TijgGslfQW8C7wAvAc8IGlfM/sBOBd4LCi/JzDWzK4MBhhuBH4NdAL+A7wRlOsJdAbWA1MlvQVcBXQ2sxwASX2AHKAbsE9QbnwQ3w3oCKwEvgEeNbOekv4AXARckoqDv/Ouezn3nLMoLiqiVes2/OvRx6oPCnw4aSLPPfs02Z27cGDP2EKMf73hRo4+5ri461i3bh1j3x3N/Q/8K+HcAc4+awAT3h/H8uXLadsqk2uuvZ5Bg4fEHV+nTh3uuud+Tjz+aEpKSjhn0GA6ZWenTfvJxkchh3SPT0Ud/jpK//go5BB2fBRySMUxJPN+9D70PkhFfBRySPd4gHPOOpPx48exYvly2rVuzl+uvW7rouNu5yUzCzsHV8NIqg0cDBwODCP2pT+D2EDA48BMoL2ZbZa0CdjNzEzSDcAmM7tJUi1gpZk1lDQIOMLMzg7qv4HYoMBrwHAz6xzsvwv4xMweC+4/BbwE/AhcbWa/DvaPB/5sZhMlHQFcbGanVHAc5wPnAzRv0SJvzrwF29wnJVuSe5/Vqe2TiJxzzjnn3PaRzHfCgw7owYzp0+K75FhE1GrY0nY97Oqw04jLxteHTTez/LDzqIjPTHApZ2YlwDhgnKRPgHOIDSq8CWwEXjKzzUHxYvvp02sLUHp6xBZJZV+f5T/hEv3E21Tm9pYy97dQyfvAzB4GHgbIzcv3UTfnnHPOOeecC/jPnS6lJHWQ1L7MrhzgWzNbDCwG/kJsdkKifi2pkaTdgVOAicBaoH6ZMhOAfpJqS9oXOASYsg1tOeecc84555yrgs9McKlWD7hPUkNgMzCP4FQB4BlgXzP7YhvqnQL8F8gEnjazaQCSJkr6FHgH+CPwS2A2sZkLfzSzpZKykjge55xzzjnnnHPl+GCCSykzmw4cWMnDvYFHypWvV+b2dZU9BiyqaF0DMzuz3K4rg61smXHETrsovX9YZY8555xzzjnnajgp8pddTAc+mOB2CEnTgXXA5WHn4pxzzjnnnHMuOT6Y4HYIM8tLIvYJ4ImUJeOcc84555xzLik+mOBcnJK5vGPtWsldLado85ak4gHq1vGpXM4555xzzgGxUx1cUvzbhXPOOeecc8455xLigwnOpciF5w+hdfP96Jnbdeu+j2fP4vBDDqRXfncOOqAHU6dWf6XKkpISDuiRy2mnnLhNeZSUlND7gDz6nhaLP2/QWeR17UheTmeGnTeY4uLiSmNHjRxB1+wOZGe14/bbbt2m9pOtI8z4hQsXcvSRh9O9aydyu2Vz/733JNx+sjl4fDRyWL16NQP6nU63zlnkdOnIRx9+uEPbT0Ud6R4fhRzCjo9CDukeH4Ucwo6PQg5hx0chh3SPHzZ0MC0zmpCf0+V/Hvv++++RZJL2Sbhil97MzDfffKtm656bZ2s3llS5vTP6PZvw4VTr2Cl7674jfnWk/ff14ba+aIu98vpwO/iQQ2190ZYqt1tvu8P69htgxxx3/NZ9azaUxL3ddOsddnrf/nb0scfZmg0l9tKrb9rq9ZttfdEWO6Nff7vnvgdsQ7H9z1a4cbO1btPGPp/zta1Zt8m6dOlqM2Z/VmHZyrZk6wg7/pvvFtukydNtQ7HZspU/Wrv27Xe6Pgg7Pio5DDzrbHvgoUdsQ7HZmnWbbMkPq3aqPgg7Pgo5hB0fhRzSPT4KOYQdH4Ucwo6PQg7pEF/d36ejxoyziZOnWadO2T/b/9XX31r9+g0M+BbYJ+y/2ePd1LCl7X7av9NiA6aF3V+VbT4zwbkU6X3wIey9d6Of7ZPE2h9/BODHNWto2rRZlXUsWrSIEe+8zaDBQ7Yph4JFixg54m3OPven+KOOOQ5JSCI/vycFBYsqjJ06ZQpt27ajdZs21K1blzP69Wf4m68n1H6ydYQd37RpU7rn5gJQv359srI6snhxQdzxUTiGdI+PQg5r1qzhgw/Gb30f1q1bl4YNG+6w9lNRR7rHRyGHsOOjkEO6x0chh7Djo5BD2PFRyCHd4yH2d26jcn/nAvzxistolpEBsO2Li7m05YMJzm1Ht95xF3/5859o36YFf77qSm648eYqy//x8ku58Za/U6vWtr01r7ryUm646dYK44uLi3numaf49dHHVBi7eHEBmZnNt97PyMikoCCxL9LJ1hF2fFnfLljArFkz6dGzV0JxYR9DusdHIYcF8+ezzz77cv6QczkgvzsXnn8e69at22Htp6KOdI+PQg5hx0chh3SPj0IOYcdHIYew46OQQ7rHV+bNN16nWUYz9thjj6TrcunJBxNc2pJ0taTPJH0saZakXpIeldQp7NxK/fvhh7j19juZ+8133Hb7P7hw2HmVln37reHs23hfcnO37SqaI94ezr6NG9O9kvg//P63HHTwIfTuffA21b8zKSwsZEDfPtx+5900aNAg7HTcDrZ582ZmzZzB0GEX8tG0meyx557csY3n6DrnnHM10fr167n977dwzV9vCDsVFyIfTHBpSdIvgROAXDPrChwJLDSz88zs83Cz+8mzTz/JSaecBsBpp5/BtCoWYPxo0kTeGv4mWe1bc/ZZA3j/vbEMPuc3cbf10YeTeGf4m3Tp0IbBZ5/J+HHvMfTcWPytN93AD8t/4LY7/lFpfLNmGSxatHDr/YKCRWTEpq3FLdk6wo6H2AyOAX370G/AQE459bSEYlORw84eH4UcMjIzycjMpGev2KyUU/uczqyZM3ZY+6moI93jo5BD2PFRyCHd46OQQ9jxUcgh7Pgo5JDu8RX55uuv+XbBfHrl5/DZp58AZAIzJO2XVMU7iGDracBR36LMBxNcumoKLDezTQBmttzMFksaJykfQNIQSV9JmiLpEUn3B/ufkHSvpEmSvpF0+vZKcr+mzfhg/PsAjHtvLG3bta+07A033cK8+Qv5cu58nnz6OQ49/Age+89Tcbd13d9u5ouvv+OTOd/w2JPPcshhh/PI40/xn8cfZczoUTz59HNVnj6R36MH8+bNZcH8+RQVFfHSC89z/AknxX+wKagj7Hgz44KhQ+iQ1ZE/XHpZ3HGpzGFnj49CDvvttx+Zmc35as4cAMaNHUNWx/gnPNWEPgg7Pgo5hB0fhRzSPT4KOYQdH4Ucwo6PQg7pHl+Rzl268G3B93w5dz7ZnbsALCL2I9/SpCp2aaVO2Ak4t41GAddK+gp4F3jBzN4vfVBSM+AaIBdYC4wFZpeJbwr0BrKAN4CXyzcg6XzgfIDmzVtUm9C5vzmTCRPeZ8Xy5XRo24L/+8tfue+Bf/GnKy6lZPNmdt1tN+5/8F/beLjb7tKLfkvzFi05rPcvATj51NP4v79c+z/l6tSpw1333M+Jxx9NSUkJ5wwaTKfs7ITaSraOsOMnTZzIs888RefOXeiVlwPA9TfezDHHHpc2x5Du8VHJ4R9338e5Zw+kqKiIVm3a8PCjj+/Q9sPug7Djo5BD2PFRyCHd46OQQ9jxUcgh7Pgo5JDu8QDnnHUm48ePY8Xy5bRr3Zy/XHsdg8os+O12TjLzhTddepJUGzgYOBwYBlwFDAKuIDbV6lQzOycoezGwv5n9XtITwGgzeyZ4bK2Z1a+qrdy8fBs/qfJTFKpTu1ZyU5SKS5J/n9at4xORnHPOOefc/0rmO+FBB/RgxvRp0Z6PX07tRq1st1/9New04rL+5cHTzSw/7Dwq4jMTXNoysxJgHDBO0ifAOQmEbypzO60+/JxzzjnnnHMubP5TpUtLkjpIKrsAQQ7wbZn7U4FDJe0tqQ7QZ0fm55xzzjnnnHM1mc9McOmqHnCfpIbAZmAesfUNXgYwswJJNwNTgJXAl8CacFJ1zjnnnHPOuZrFBxNcWjKz6cCBFTx0WJnbz5rZw8HMhFeB14LYQeXqqrd9snTOOeecc85FT/Qvu5gO/DQHV5NdJ2kW8Ckwn2AwwTnnnHPOOedccnxmgquxzOyKsHNwzjnnnHPOuZrIBxOci4OAOrXDm8hTt07y07A+XZjckhGdm++VdA7OOeecc85FgZ/mkDw/zcG5FBl23mBaNGtMXk7nba5j1MgRdM3uQHZWO26/7dYdGr9p00bOOeUIzjzuIPoefQD/uutmAP72p99z5nEH0aN7Vwb0O53CwkIAPpgwnl/2yKXebnV45b8vR+IYIPnnIdn2U1FH2PHJ9mHY74Ww209FfLJ1LFy4kKOPPJzuXTuR2y2b+++9J+H2/b0UfnwUckj3+JrweeCvI++DKMQPGzqYlhlNyM/psnXf9X+9hp653fjyi8+RNEpSs4QrdunNzHzzzbdqttzcPNtQbFVuo8e+b5MmT7dO2dnVlq1oK9y42Vq3aWOfz/na1qzbZF26dLUZsz9LWfzUb1ZXuU35epW9/8kim/rNavtwzg+W3S3PHvvvaHtv9nc29ZvVtqHY7KI/XGo33HSLbSg2+3LufJsyfbadOfA39szzL+2QY4hnS+Z5SEX7YfdB2H0YhfdC2O1H4XX0zXeLbdLk6bah2GzZyh+tXfv2/l5Ks/go5JDu8cm+jqNwDP468j7YUfHri7ZUuY0aM84mTp5mnTplb923dPlqW1+0xbrn5hlwMfBQ2H+zx7vV2ruV1ev7RFpswLSw+6vSfgx5LMO5GqP3wYfQqFGjbY6fOmUKbdu2o3WbNtStW5cz+vVn+Juv77B4SeyxZ+zCFps3F7N5czGSqFe/ARAbeNy4YcPWKWEtW7WiS9eu1Kr108dI2McAyT0PqWg/7D4Iuw9TEZ/sMYTdfhReR02bNqV7bi4A9evXJyurI4sXFySUg7+X0v91sLPHQ/p/HvjryPsgCvEQvJf2/vl7qUGDBmXv7glYQpWGTFJabFHmgwnORcTixQVkZjbfej8jI5OCgvj/+E82HqCkpIQzj+/NUT3a0+ugw+mckw/A9Vf+llaZ+zFnzpf89ncXRfoYkpGK9sPug7D7MBXCPoYoPAep7INvFyxg1qyZ9OjZa5vit0UU+iDd46OQQ7rHp0LYx+CvI++DKMRX5a/XXM2nn3wMMBC4NiWVurSx0w8mSCqRNEvSp5JekrRH2DmFQVJhNY83lPTbbaj3OkmVXlUh6Pvn46gnR9JxZe6fJOmqamJukHRkcPuSnfW5TUTt2rV59q0PeGvSZ3z28XTmzfkcgL/e/gDffLeYrKyOvPziCyFn6ZyLV2FhIQP69uH2O+8u/wuSc845l7Tr/3YTnbt0BXgG+H3I6bgdbKcfTAA2mFmOmXUGioALyj4oqUZc8UIxyTzfDYGEBxOqIqkjUBs4WNKe1RTPAbYOJpjZG2ZW5eoxZnatmb0b3L0EiPRgQrNmGSxatHDr/YKCRWRkZOyw+LLqN2hI3gEH8+H4MVv31a5dmzP69ee1V/+73XJI5TFsi1S0H3YfhN2HqRD2MUThOUhFHcXFxQzo24d+AwZyyqmnJRSbrCj0QbrHRyGHdI9PhbCPwV9H3gdRiI/TM0CfVFfqos0HE35uAtBO0mGSJkh6A/hcUm1Jt0uaKuljScMAJNWS9ICkLyWNlvS2pNODxxZIul7SDEmfSMoK9veU9KGkmZImSeoQ7B8k6RVJIyTNlXRbaVKSjgnqmS1pTNDuXEn7lsljXun9MnGtJM2R9CTwKdBc0pVljuP68h0gqV7QRmneJwcP3Qq0DWYS3B6UrbAuSVdL+krSB0CHKvp7APAUMAoobQdJPYK+mS1piqS9gBuAfkH7/YL+ul/SXpK+LR0okbSnpIWSdpH0hKTTJV0MNAPek/SepMGS7i7T3lBJd1WR5w6R36MH8+bNZcH8+RQVFfHSC89z/Akn7bD4VSuWs/bH1QBs3LiBKR+Mo2Wbdixc8A0QWzNh+JtvsH+HrMgeQ7JS0X7YfRB2H6ZC2McQhecg2TrMjAuGDqFDVkf+cOllCbWdClHog3SPj0IO6R6fCmEfg7+OvA+iEF+ZeXPnlr17MvBl0pXuQNuyfkEYW5TViF/dU0GxGQjHAiOCXblAZzObL+l8YI2Z9ZC0KzBR0iggD2gFdAIaA18Aj5WpdrmZ5Sp2esAVwHnE3mQHm9lmxabg38xPo3g5QHdgEzBH0n3ARuAR4JAgl0ZmtkXS08TOTbobOBKYbWY/VHBo7YFzzOwjSUcF93sCAt6QdIiZjS9TfiNwqpn9KGkf4CPFBlWuCvojJ+ivCusC1gH9g2OpA8wAplfS7f2AXwNZwEXAs5LqAi8A/cxsqqQGwHpi52Dlm9nvg/YHAZjZGkmzgEOB94ATgJFmVlz65jOzeyVdBhxuZssl1QOulnSlmRUD5wLDyicXPO/nAzRv0aKSQ/jJ2WcNYML741i+fDltW2VyzbXXM2jwkGrjStWpU4e77rmfE48/mpKSEs4ZNJhO2dk7LH75sqVcd+WFbCkpYYsZRx53Cr0PP5qh/Y5l3dq17LqL6NKlG/f+80EApk2dSr8zTmX1qlW8/dab3HjDX5kx+7NQjwGSex5S0X7Yz2PYfZiK+GSPIez2o/A6mjRxIs8+8xSdO3ehV14OANffeDPHHHtc1YFl+Hsp/V8HO3s8pP/ngb+OvA+iEA9wzllnMn78OFYsX0671s35y7XXMfKdd5j71Ry++eYbgKMoN8Pb1XwyS6tFN1NOUgnwSXB3AnA5cCDwVzM7PCjzMtCV2JdagL2Iffk8jtiX+MeDcq8Az5rZy5IWAAeZWYGkXsBNZnakpObAvcS+iBuwi5llBV+ODzKzoUFd7wA3AXsD/c1sYLm8mwOvB4MVzwNPm9nwcmVaAe+ZWevg/h3A6cDqoEg94BYz+7ekQjOrJ2kX4C7gEGALsZkFrYHdgOHB6SCV1gXUBxqZ2bVBuX8Ai83sjnK55QP3mNlBkmoD3wZ9nEHssjIHlSs/iP8dTMg3s99LOpPYYMsFkl4FHjCz0ZKeCHIufT7yzWx5EP8I8DaxAaCnzKwHVcjLy7eJk6dVVSTyPl24Jqn4zs33SlEmzjnnnHMuSpL5TnjQAT2YMX1atH9CL6d2o9ZW7+gbwk4jLj8+f/Z0M8sPO4+K+MyEYM2EsjuCX7TXld0FXGRmI8uVq+4nnk3BvyX81Nd/I/YF/9Tgy/64CsqXj/kfZrZQ0veSjiA2O2BgMMDwZlDkIWKzLMofxy1m9q8qch4I7AvkBb/uLyA2kFBehXVJuqSKussaAGQF9QM0IDZD46M448t6A7hZUiNis0XGxhHzKPB/xGaKPL4NbTrnnHPOOefSkYLNJcXXTIjPSODC4Fd7JO2v2IKBE4E+iq1Z0AQ4LI669gJKr8UyKI7yHwGHSCqdXVD2Aq+PAk8DL5lZiZktDBaTzDGzhyo5jsHBNH8kZUhqXEF+y4KBhMOBlsH+tcRmHVRX13jgFEm7S6oPnFg+CcXWN+gLdDGzVmbWith5VgOAOUBTST2CsvWDU1DKt7+VmRUCU4F7iM1EKKmg2M/izWwy0Bw4E3iuonqdc84555xzzlXMZybE51FiayPMUGzawg/AKcB/gV8BnwMLia0PUN1c8tuA/0j6C/BWdQ2b2Q/BufuvBF/ClxFbZwBiv8g/Tpy/rJvZKMWuoPBhMPuiEDgrqLPUM8Cbkj4BphEspGJmKyRNlPQp8I6ZXVlRXWY2Q9ILwOyg3qkVpHIwUGBmi8vsG09s7YlfEFtL4T5JuwMbiK0J8R5wVbA+wi0V1PkC8BKVD+g8DIyQtLj09BXgRSDHzFZVEuOcc84555xzrgI7/ZoJyZJUz8wKJf0CmEJs3YOlO6jtfOAuMzt4R7RX00gaTqz/xlRX1tdM8DUTnHPOOedqqp1uzYRfpNGaCc/5mgk12XBJDYG6wN924EDCVcCFxNY4cAkInq8pxBbPrHYgwTnnnHPOOVdziOhfdjEd+GBCkszssJDavRW4NYy2052ZrQb2DzsP55xzzjnnnEtXPpjgXByM5KZ/RWHkM9nTFDaXbEkqvk5tX+/VOeeccy6KkvlbNfy/cl1Y/K9751Lon/fdQ35OF/K6deb+e+9OOH7UyBF0ze5AdlY7br8t8YknYccvWriQ4476Ffk5nenRvQsP3H8vADf/7XratMygV14OvfJyGPHO2xXGDztvMC2aNSYvp3PCbafqGJKNj0IO6R6fbB0LFy7k6CMPp3vXTuR2y+b+e+/ZofEQfh/UhPgo5BB2fBRySPf4KOQQdnwUcgg7Pgo5pHt8Kv5GixpJabFFmpn55ptv1Wzdc/NsfdGWKrepMz62Tp2ybfnqQvtxfZEdfsSv7JPPv7L1RVtsQ7FVuxVu3Gyt27Sxz+d8bWvWbbIuXbrajNmfxRW7I+LXbiypdps7f5FN+HCqrd1YYot/WG1t27W3qTM/sT9ffa3d/Pfbq81h9Nj3bdLk6dYpOzvuvKPUh1HIId3jU1HHN98ttkmTp9uGYrNlK3+0du3b79D4KPRBusdHIYew46OQQ7rHRyGHsOOjkEPY8VHIId3jNxRX/Tdabm6ehf23eqJb7UatreHAp9NiA6aF3V+VbT4zwbkUmfPlF+T37Mkee+xBnTp16H3wIbz+2itxx0+dMoW2bdvRuk0b6tatyxn9+jP8zdfTJh5gv6ZNyemeC0D9+vXpkJXF4oKCuON7H3wIjRo1SqjNsqLQB2HnkO7xqaijadOmdM/96XWYldWRxYvjfx0mGx+FPkj3+CjkEHZ8FHJI9/go5BB2fBRyCDs+Cjmkezwk/zeaq5l8MMG5FOmU3ZlJH3zAihUrWL9+PSNHvMOiRQvjjl+8uIDMzOZb72dkZFKQwBfxsOPL+3bBAj6eNYv8nr0AeOiB++nRvSvDzhvMqlWrtrneqkShD8LOId3jU1VHqW8XLGDWrJn0CF6HOyI+Cn2Q7vFRyCHs+CjkkO7xUcgh7Pgo5BB2fBRySPf4mirs0xdqwmkOPpiQxiSZpDvL3L9C0nUpbqOVpE9TWWcVbdWSdK+kTyV9ImmqpNbBY/8XZx1xldsesjp25LIr/8iJxx3NySccS9du3ahdu3ZY6YSqsLCQswacwa13/IMGDRpw3vkX8Pmcr5k8fRb7NW3KVVdeHnaKbidQWFjIgL59uP3Ou2nQoMEOj3fOOeecq8l8MCG9bQJOk7RP2ImkSD+gGdDVzLoApwKrg8fiHSQIbTABYNC5Q5g0eRqjx75Pw4Z70659/FegbNYs42czGQoKFpGRkZE28aWKi4s5q//p9O1/JiefchoAjZs0oXbt2tSqVYvBQ4YybdqUhOuNRxT6IOwc0j0+VXUUFxczoG8f+g0YyCmnnpZQbLLxUeiDdI+PQg5hx0chh3SPj0IOYcdHIYew46OQQ7rHO1cZH0xIb5uBh4FLyz8gaV9J/w1+3Z8q6aBgfyNJr0n6WNJHkroG+6+T9JSkDyXNlTS0gjpbSZogaUawHRjsbyppvKRZwayCg4P9hZJul/SZpHcl9ZQ0TtI3kk6q4HiaAkvMbAuAmS0ys1WSbgV2D+p/Jqj7NUnTg7rPD/b9rFz5WRVlZ25IuljS50E/PL/Nz0A5y5YtA2Dhd9/xxmuv0q//mXHH5vfowbx5c1kwfz5FRUW89MLzHH9CRd0UzXiILej6u2Hn0SGrIxf94aeX5dIlS7befv21V+mUvX1WAo5CH4SdQ7rHp6IOM+OCoUPokNWRP1x6WUJtpyI+Cn2Q7vFRyCHs+CjkkO7xUcgh7Pgo5BB2fBRySPd45ypTJ+wEXNL+CXws6bZy++8B7jKzDyS1AEYCHYHrgZlmdoqkI4AngZwgpitwALAnMFPSW+XqXAb82sw2SmoPPAfkA2cCI83sJkm1gT2C8nsCY83sSkmvAjcCvwY6Af8B3ihX/4vAB8FgxBjgaTObaWZXSfq9meWUKTvYzFZK2h2YKum/5ctJalVFv10FtDazTZIaVlEuIWf2O52VK1awyy67cNe999OwYfxV16lTh7vuuZ8Tjz+akpISzhk0mE7Z2WkTD/DhpIk89+zTZHfuwoE9YwvY/fWGG3n5hef55OPZSKJlq1bc98C/Kow/+6wBTHh/HMuXL6dtq0yuufZ6Bg0essOOIRV9EHYO6R6fijomTZzIs888RefOXeiVlwPA9TfezDHHHrdD4qPQB+keH4Ucwo6PQg7pHh+FHMKOj0IOYcdHIYd0j4fk/0aLoqivR5AOZGZh5+C2kaRCM6sn6QagGNgA1DOz6yQtAxaXKb4v0AGYAPQxs2+COhYC2cBlQC0zuzbY/yTwCjALGG5mnSXtBdxPbPChBNjfzPaQdAjwGPA08JqZzQrq2ATsZmYW5LgpGHCoBaw0s4YVHNOuwBHBNgQ4w8zGlB5rmXLXETsNAqAVcLSZfVS2XDCYMNzMOgf3ryjTPyOAQuC1IOfCCnI5HzgfoHmLFnlz5i2o/MmoRk34sNpcsiWp+Dq1fSKUc84551xNc1CvfKZPn5ZWf+zW+UUb2+v4m8JOIy4rnzpzupnlh51HRfyv+5rhbmJfvPcss68WcICZ5QRbRkVfmMspP7JU/v6lwPdAN2IzEuoCmNl44BCgAHhC0tlB+WL7abRqC7E1HghOY6hwVoyZbTKzd8zsSuBm4JTyZSQdBhwJ/NLMugEzgd0qqG4zP3+Nly1zPLFZHbnEZjb8Tz5m9rCZ5ZtZ/j777FtRus4555xzzjm3U/LBhBrAzFYSO0Wg7FyjUcBFpXck5QQ3JwADg32HAcvN7MfgsZMl7SbpF8BhwNRyTe3FT2sa/AaoHdTTEvjezB4BHiX2BT1hknIlNQtu1yJ22sW3wcPFknYpk8cqM1svKYvYqRlUUO57oLGkXwQzHk4oU3dzM3sP+FNQXz2cc84555xzNZ/SaIswH0yoOe4Eyl7V4WIgP1hg8HPggmD/dUCepI+BW4FzysR8DLwHfAT8zczKniYB8ABwjqTZQBawLth/GDBb0kxiV2S4ZxuPoTHwZrBo4sfEZhbcHzz2MLG1IZ4BRgB1JH0RHMNHZerYWs7MioEbgCnAaODLoExt4GlJnxCb1XCvma3expydc84555xzbqfjayY4YOsaBIVmdkfYuURRbl6+Tfyo/ESN+PmaCb5mgnPOOedcTZSWaybsk0ZrJjzpayY455xzzjnnnHOuhvBLQzoAzOy6sHNwzjnnnHPOuR2hJswcDpsPJjjn4pLsaQrJnlLlH/jOOeecc85Fh5/m4FyKbNy4kYMP7EWvvBzyunXmb9f/NeE6Ro0cQdfsDmRnteP2225Nu/hh5w2mRbPG5OV0TjgWYNjQwbTMaEJ+Tpet+1auXMkJxx5F547tOf6YX7Nq1aoq6wi7D6KQQ7rHRyGHZOM3btxI71/2pGduN3K7Ze+Unwf+OvA+iEJ8FHIIOz4KOYQdH4Uc0j0+VXW41JP0mKRlwSL2pftul/RlsBj/q5Ialnnsz5LmSZoj6egy+48J9s2TdFVcjZuZb775Vs3WPTfP1hdtqXJbt6nElq380dYXbbE16zZZfo+eNm7CJFtftMU2FFu1W+HGzda6TRv7fM7XtmbdJuvSpavNmP1ZXLFRiN9QbDZ67Ps2afJ065Sd/T+PVdd/64u22Kgx42zi5GnWqVP21n2XXnaF3XDjzbah2OyGm26xy674Y6T7IOwc0j0+Cjmk4hjWF22xH1attQ3FZj+uLwo+Dz5Mm2MIOz4KOYQdH4Uc0j0+CjmEHR+FHMKOj0IO6R5fXR25uXkW9t/qiW51ftHG9hn0fFpswLSqjgU4BMgFPi2z7yigTnD778Dfg9udgNnArkBr4GtiV7qrHdxuA9QNynSqrh99ZoJzKSKJevXqAVBcXExxcTEkMDV/6pQptG3bjtZt2lC3bl3O6Nef4W++njbxAL0PPoRGjRolFPM/8Xv/PH74m28w8DexK5ie9ZtzePON1yqNj0IfhJ1DusdHIYdUHEP5z4PNxcUJnaoT9jGEHR+FHMKOj0IO6R4fhRzCjo9CDmHHRyGHdI9PVR1u+zCz8cDKcvtGmdnm4O5HQGZw+2TgeTPbZGbzgXlAz2CbZ2bfmFkR8HxQtko+mOBcCpWUlNArvzstM5rwq18dSc+eveKOXby4gMzM5lvvZ2RkUlBQkDbx28uyZd/TtGlTAPbbbz+Wff99pWWj0Adh55Du8VHIIVXvhZKSEnrl5dCiWWOOOPLX9Oy183we+OvA+yAK8VHIIez4KOQQdnwUckj3+FTV4UIzGHgnuJ0BLCzz2KJgX2X7q5T2gwmSTNKdZe5fIem6FNV9naT1khqX2VeYirrLtfOEpNNTXW8Vbc2XNFvSV5KelJRZ5vG3y55TEyZJV0v6LDjXZ5akXsH+SyTtEXZ+FalduzaTp81k7vyFTJs2lc8+/bT6IBc3Sb4Qo0sbtWvXZvL0WcxbsIhpU6f454FzzjkXIaV/V0Z9A/aRNK3Mdn4Cx3g1sBl4Znv0YdoPJgCbgNMk7bOd6l8OXL6d6g7LlWbWDegAzATGSqoLYGbHmdnqMJMDkPRL4AQg18y6Akfy02jZJUAkBxNKNWzYkEMOPYzRo0bEHdOsWQaLFv00IFhQsIiMjGoHBCMTv700btyEJUuWALBkyRL2bdy40rJR6IOwc0j3+CjkkOr3QsOGDTn0sMMZtRN9HvjrwPsgCvFRyCHs+CjkEHZ8FHJI9/hU1eG22XIzyy+zPRxPkKRBxL5PDbRgwQSgAGheplhmsK+y/VWqCYMJm4GHgUvLPyCplaSxwS/bYyS1CPY/IeleSZMkfVPNrIDHgH6S/udEcElnSZoS/Gr+L0m1g/0DJH0i6VNJfy9TvlDSXcGv7WMk7VtBnddKmhrEPqxgOErSxZI+D47l+WDfdZL+I2mCpG8lnSbptqDtEZJ2qarjLOYuYClwbFDnAkn7SNpT0lvBDIZPJfULHs+T9L6k6ZJGSmoa7B8a5D1b0n9LZw5IOiOIny1pfLCvtmIrjE4NjmdYBek1JfbG2RTkutzMFku6GGgGvCfpvaC+B4NRus8kXV+mL49TbBXT6cHzPTzYv6diq55OkTRTUrXnA8Xjhx9+YPXq1QBs2LCBsWPeZf8OWXHH5/fowbx5c1kwfz5FRUW89MLzHH/CSWkTv70cf+KJPPPUfwB4+qn/cMKJlT9dUeiDsHNI9/go5JCKYyj/eTDm3dF02Ik+D/x14H0Qhfgo5BB2fBRyCDs+Cjmke3yq6nA7jqRjgD8CJ5nZ+jIPvQH0l7SrpNZAe2AKMBVoL6l18CNz/6BsleqkPvVQ/BP4WNJt5fbfB/zHzP4jaTBwL3BK8FhToDeQRayjXq6k7kJiAwp/ALZe20tSR6AfcJCZFUt6ABgo6V1iK2bmAauAUZJOMbPXgD2JrcZ5qaRrg/p+X669+83shqCNp4iNJr0JXAW0NrNN+vlpCG2Bw4mtzPkh0MfM/ijpVeB44LVKe+0nM4J+KLuKyjHAYjM7Pshlr2Bw4j7gZDP7IRhguInYeTivmNkjQdkbgSFB2WuBo82soEzeQ4A1ZtZD0q7AREmjgkVASo0CrpX0FfAu8IKZvW9m90q6DDjczJYHZa82s5XBYM4YSV2Br4B/AYeY2XxJz5Wp+2pgrJkNDnKaIuldM1sXR19VaumSJQwdMogtJSVs2bKF004/g+OOPyHu+Dp16nDXPfdz4vFHU1JSwjmDBtMpOztt4gHOPmsAE94fx/Lly2nbKpNrrr2eQYOHxB1/zllnMn78OFYsX0671s35y7XXcfmVV/GbM/vxnyceo0WLljz93Ivb7RhS0Qdh55Du8VHIIRXHsHTJEoYOPoeSkhK22Bb6nN53p/o88NeB90EU4qOQQ9jxUcgh7Pgo5JDu8amqw20fwfecw4idDrGI2HfMPxO7YsPo4Lfpj8zsAjP7TNKLwOfEfpT/nZmVBPX8HhhJ7MoOj5nZZ9W2/dOMh/QkqdDM6km6ASgGNgD1zOw6ScuBpsGX/V2AJWa2j6QngNFm9kxQx1ozq19B3dcRG0x4FJgFdAnqqBd09v8By4LiuwPPETttoI+ZnR3UMQTINrPLJJUAu5rZZkltiH0BzwnyGW5mL0vqQ2wUaQ+gEXCfmd0qaUSQy2vAa2ZWGORXbGY3SaoVHPtuZmZBf6w0s7vLHdPWtsrsu4fYwMHfJS0A8oO2RwEvBOUnSOoMTAK+CUJrB/1xlKRDgRuBhkA9YKSZXSDpIWIDHi8Gx7tC0stAV6B0lGwvYJiZjSqXa23gYGKDJcOAq8zsidIcSwcTJF0AnE9scKwpcBHwJXCPmR0alDkJON/MTpA0DdiN2BuI4FiPNrMvyrV/flAvzVu0yJszbwHbSn6eP8l+1ngfOuecc85Fz0G98pk+fVpa/aG2yz5tbe+Tbwk7jbj88Fi/6WaWH3YeFakpMxMA7ib2C/vjcZbfVOZ26akENxH7NR8zyyl90MxWS3oW+F25mP+Y2Z/LVprglPmffbuStBvwALEvyguDwYLdgoePJ3YN0ROBqyV1KXscZrZFUnGZ82G2EP/z2x0Y87PEzL6SlAscB9woaQzwKvCZmf2ygjqeAE4xs9mKnZ9zWFDPBYotnHg8MF1SHrG+u8jMRlaVVDBKNg4YJ+kT4Jygna2C6TlXAD3MbFUwWLIbVROxAZ851bT/MLFTaMjNy0/vUTfnnHPOOeecS6GasGYCAGa2ktiv32XnVE8idr4HwEBgQjV1XG1mOWUHEsr4B7Ffx0u/oI8BTldwpQdJjSS1JHbOyaGKrTtQGxgAvB/E1AJK12c4E/igXBulX4KXS6pXWjaYddDczN4D/kTsl/x6VR1LPBRzMbFf80eUe6wZsN7MngZuB3KBOcC+ii2OiKRdJJXOb6oPLAlmgAwsU09bM5tsZtcCPxBb2GMkcGFQFkn7S9qzXPsdJLUvsysH+Da4vTZoD6ABsA5YI6kJwdoPQa5tJLUK7vcrU9dI4CJp63oU3avtLOecc84555xzW9WkmQkAd/LzNQguAh6XdCWxL7LnbmvFZrY8WIfg0uD+55L+QmxNhFrETrH4nZl9JOkq4D1iv4C/ZWalaxGsA3oGccv4+Rfc0hkQjwCfElsUcWrwUG3gaUl7BXXeG5Td1sO5XdI1xE6l+IjY+gNF5cp0CcptCY7tQjMrUmyxynuDXOoQmxHyGXANMJlYP0/mpy/7tweDAiI2ADMb+BhoBcwIvtD/wE9rWZSqB9wXrGmwGZhHcMoBsdkCIyQtNrPDJc0kdlrDQmAigJltkPTboNw6fupLgL8FeX8cPHfzia1N4ZxzzjnnnKvp5KfQpkLar5mQTkrXdwg7j52FpHrB2hIitkjn3ODqFQnLzcu3iR9Nrb5g5blsc2xN4WsmOOecc87VPGm5ZsK+ba3RybeGnUZclv27b2TXTKgxpzk4V4GhkmYRmzmxF7GrOzjnnHPOOeecS1JNO80h0nxWwo4VzELYppkIzjnnnHPOOecq54MJzsVB+DT7ZCXbfwtXrK++UDWa/2KPpOtwzjnnnHPpz/+2T56f5uBcigw7bzAtmjUmL6fzNtcxauQIumZ3IDurHbfflvh5XGHHh53DkoJF/Oa0Yzn24DyOOySf/zzyTwBWr1rJoL4n0Llje44/5tesWrUKgDVr1tDnlBPpmduN3G7ZPPnE42nfBwsXLuToIw+ne9dO5HbL5v5779mh7aciPgo5hB0fhRyS/UyrCX0QdnwUckj3+GTr8M/UmhEfhRzSPR7g/nvvIS+nM7ndsrnvnru3qQ5Xw5iZb775Vs2Wm5tnG4qtym302Pdt0uTp1ik7u9qyFW2FGzdb6zZt7PM5X9uadZusS5euNmP2Z2kTv71z+Grpumq3D2bPs1dHfWBfLV1nM+YttVZt2tnb70+z8357iV1+9fW2odjshptuscuu+KNtKDa7/m83bb393eJl1rBhQ2vVunVk+yCe7ZvvFtukydNtQ7HZspU/Wrv27f11lGbxUckhmc+0mtAHYcdHIYd0j09FHf6Zmv7xUcgh3eM3FJtNm/mJdcrOthVr1tnaDcV2+BG/sk+/mGsbis1yc/Ms7L/VE93q7NPGmpz3UlpswLSw+6uyzWcmOJcivQ8+hEaNGm1z/NQpU2jbth2t27Shbt26nNGvP8PffL36wIjERyGHxk2akt21OwD16tWnbfsOfL90MWNGvsWpfQcCcNZvzuHNN14DYtPbCteuxcxYV1jIHnvumfZ90LRpU7rn5gJQv359srI6snhxQdrkH4Ucwo6PSg7JfKbVhD4IOz4KOaR7fCrq8M/U9I+PQg7pHg/w5Zdf0KNHL/bYYw/q1KnDwYccymuvvZJQHVEjKS22KPPBBOciYvHiAjIzm2+9n5GRSUFB/H+whB0flRxKLfruWz7/dDbdcnuw/IdlNG7SFID99tuPZd9/D8AFv/09X375BW1aNCO/exfOHPgbmjdvkVT7UeqDbxcsYNasmfTo2WuHtV8TXkdhx0clh2TUhD4IOz4KOaR7fKrqKOWfqekZH4Uc0j0eIDu7MxMnTmDFihWsX7+eEe+8zaKFCxOqw9U8PpgQUZJOkWSSssrsayXp0+D2YZKG7+CcFkjap5oygyQ1i6OucZIieb1Ul/7WrSvkovPO5P9uuI169Rv87LGyo7yjR42ka7ccvvluMZOnzeKJx/9NUXFRGCmnXGFhIQP69uH2O++mQYMG1Qc455yrlH+mup1dVseOXH7Fnzjx2KM46fhj6NYth9q1a4edlguZDyZE1wDgg+DfpEnaUVfuGARUO5iQKEk1/tOqWbMMFi36aYS3oGARGRkZaRMflRyKi4u5aMiZnHhaP44+/mQA9tm3Mcu+XwLAkiVL2LdxYwCe+s/jnHzqaUiibbt2ZGY2Z+5XXyXVflT6YEDfPvQbMJBTTj0todgo5B92DmHHRyWHZNSEPgg7Pgo5pHt8qurwz9T0jo9CDukeX2rQ4CFMmjKdd98bT8O996Z9+/0TriMqRPinL/hpDm67kFQP6A0MAfrHUX5PSY9JmiJppqSTg/2DJL0haSwwRtIekl6U9LmkVyVNlpQvabCku8vUN1TSXVW010rSF5IekfSZpFGSdpd0OpAPPCNpVrDvV0FOnwQ57lpBfUdJ+lDSDEkvBcdfOhPi75JmAGcEeU2VNFvSfyXtEZR7QtK9kiZJ+ibIo7TuPwVtz5Z0a7CvraQRkqZLmlB29keY8nv0YN68uSyYP5+ioiJeeuF5jj/hpLSJj0IOZsb/XXohbdt3YPAFF2/df8RRx/Hqi88A8PRT/+GEE2ODDM2bt2Dc2DEAfP/99yxduoTvly5N+z64YOgQOmR15A+XXpZQ7lHIPwo5hB0flRySURP6IOz4KOSQ7vGpqMM/U9M/Pgo5pHt8qWXLlgHw3Xff8fprr9BvwJkJ1+Fqlh31a7VLzMnACDP7StIKSXlmNr2K8lcDY81ssKSGwBRJ7waP5QJdzWylpCuAVWbWSVJnYFZQ5kXgaklXmlkxcC4wrJoc2wMDzGyopBeBPmb2tKTfA1eY2TRJuwFPAL8KjuVJ4ELg7tJKgtMm/gIcaWbrJP0JuAy4ISiywsxyg7K/MLNHgts3EhtsuS8o15TYAEwW8AbwsqRjg77sZWbrJZWuJPYwcIGZzZXUC3gAOKKa463W2WcNYML741i+fDltW2VyzbXXM2jwkLjj69Spw1333M+Jxx9NSUkJ5wwaTKfs7LSJj0IO06d8yOsvP0eHjtmc9KsDALjsz9dx/kWX84fzf0Pnjk/RokVLnn7uRQCuuvoazh8yiPycLhjGzbfcxt6NGqV1H0yaOJFnn3mKzp270CsvB4Drb7yZY449Li3yj0IOYcdHJYdkPtNqQh+EHR+FHNI9PhV1+Gdq+sdHIYd0jy81oG8fVq5cwS51duHue/9Jw4YNE67D1Swys7BzcOUothbCPWY2WtLFQAszu0JSK2C4mXWWdBixL+0nSJoG7AZsDqpoBBwN9AIONbNzg3pfC+p9L7g/Azg/+OL/CPA28AXwlJn1qCCvBcRmHtQDRptZ+2D/n4BdzOxGSeP4aTChG3CfmR0SlPsV8DszO620HLAfsQGHRUEzdYEPzWxI0N6hZvZtEH8ocCPQMMhhpJldIOmJIJ9ngnJrzay+pDuBL0sHIILH6gE/AHPKHNquZtaxguM9HzgfoHmLFnlfff1t+SJuB1q4Yn3SdTT/xR4pyMQ555xzzpU6qFc+06dPi/Z8/HLq7tvO9jnttrDTiMuSh/tMN7NIrjXnMxMiJvj1/AigiyQDagMm6cqqwojNDJjzs52xX93Xxdn0o8D/AV8Cj8dRflOZ2yXA7nG2U56IDQRUtjZE2fyfAE4xs9mSBgGHVZJPVR9mtYDVZpZTXWJm9jCxWQzk5eX7qJtzzjnnnHM1RVoNf0STr5kQPacTmxnQ0sxamVlzYD5wcBUxI4GLFKzQIal7JeUmAn2DMp2ALqUPmNlkoDlwJvBcEvmvBeoHt+cArSS1C+7/Bni/XPmPgINKywTrP1S2mkt9YImkXYCBceQyGji3zNoKjczsR2C+pDOCfQpmUDjnnHPOOeeci5MPJkTPAODVcvv+S9VXdfgbsAvwsaTPgvsVeQDYV9LnxE4X+AxYU+bxF4GJZrZqWxIPPAE8JGkWsfG+c4GXJH0CbAEeKlvYzH4gdgWI5yR9DHxIbN2DilwDTCY2KPJldYmY2Qhi6ydMC/K5InhoIDBE0mxifXBy3EfnnHPOOeecc87XTNiZKHZ5xV3MbKOktsC7QAczKwoeHw7cZWZjwswzivLy8m3i5Glhp7FT8zUTnHPOOeeiJy3XTGjczvbtc3vYacRl8UOn+ZoJLhL2AN4LThMQ8FszKyq9AgQw2wcSnHPOOeecc85VxwcTdiJmtpbY1RjK718NVLZOgXPOOeecc8459zO+ZoJzzjnnnHPOOecS4jMTnIuDAcmsLxJcaMMlIRXrHazdUJxUfP3dd0k6B+ecc865qEnm79x0XYHP/z5Pns9McC6Fstq3pkf3rvTK785BB/RIOH7UyBF0ze5AdlY7br/t1rSLj0IOycY//MB9HNIrh4N7duNf/7wXgE8+nsWxR/SmV14OB/XKZ+qUKZE+hmTjh503mBbNGpOX0znh2FS0n4o6wu6DhQsXcvSRh9O9aydyu2Vz/733JFxH2H0QdnwUcgg7Pgo5pHt8FHIIOz4KOYQdH4Uc0j3+qzlz6JXffevW5Bd7cf+9dydcj6thzMw333yrZuuem2fri7ZUu7Vo2dK+W7zsf/ZvKLZqt8KNm611mzb2+Zyvbc26TdalS1ebMfuzuGKjEB+FHKqLX/ZjUZXb+x/NsKyOnWzB0tW2eOV6O/iwI+yjmZ/boYcfac+9/IZtKDZ79Y237OBDDk3bPohnGz32fZs0ebp1ys5OKK6mvI6S7YMNxWbffLfYJk2eHnvdrfzR2rVvn1avg7Djo5BD2PFRyCHd46OQQ9jxUcgh7Pgo5JAO8fH8nVu6rd1QbI2bNLEv58639UVbrHtunoX9t3qi2y77trWMC19Niw2YFnZ/Vbb5zATnImLqlCm0bduO1m3aULduXc7o15/hb76eNvFRyCHZ+LlzviQ3vyd77LEHderU4cCDDuatN19DEmvX/gjAmjVraNqsWWSPIRXPY++DD6FRo0YJxaSy/XTvA4CmTZvSPTcXgPr165OV1ZHFiwvijg+7D8KOj0IOYcdHIYd0j49CDmHHRyGHsOOjkEO6x5f33tgxtGnTlhYtW25zHVEgKS22KPPBBOdSSBInHnc0B/bK59+PPpxQ7OLFBWRmNt96PyMjk4KC+L98hB0fhRySjc/qlM1Hkz5g5YoVrF+/nndHjWDxokXc+Pc7uP6aP9OudXP+/KcruOHGWyJ7DKl4HpNRE15HqfbtggXMmjWTHj17xR0Tdh+EHR+FHMKOj0IO6R4fhRzCjo9CDmHHRyGHdI8v76UXn+eMfv23Od7VHD6YkCKSMiW9LmmupK8l3SOpbth5VUXSLyTNCralkgrK3O8p6d4dnM8ekp6R9ImkTyV9IKmepIaSfhtHfFzltqd335vAh1Om89qbb/Pwgw/wwYTxYabjErR/h45cdOmV9D31OPqfdgKdu3ajdu3aPPHow9xwy+3Mm7+Q2+64iwvPHxJ2qi5NFBYWMqBvH26/824aNGgQdjrOOedcUoqKinh7+Juc1ueMsFNxEeCDCSmg2PyTV4DXzKw9sD9QD7ipgrKhXkGjbPtmtsLMcswsB3gIuKv0vplNMbOLd3B6fwC+N7MuZtYZGAIUAw2BeAYJ4i233WRkZADQuHFjTjz5FKZNrXqhvrKaNctg0aKFW+8XFCzaWl86xEchh1Qcw8Czz+Xd8ZN5Y8RYGjZsSJt27Xnhuac44aRTAehz+hlVPq9hH0Mq+iAZNeF1lCrFxcUM6NuHfgMGcsqppyUUG3YfhB0fhRzCjo9CDukeH4Ucwo6PQg5hx0chh3SPL2vkiHfI6Z5LkyZNtik+UpQmW4T5YEJqHAFsNLPHAcysBLgUGBz82j5I0huSxgJjgn0vSvpc0quSJkvKB5D0oKRpkj6TdH1pA5IWSLpe0ozgl/us8klI2k3S48HjMyUdHuz/WfvxHJCkwyQND24fWmbGwkxJ9SU1lTQ+2PeppIODsoVl6jhd0hPB7X0l/VfS1GA7qIJmmwJb51yZ2Rwz2wTcCrQN2ro9mK0wpkxfnByElC+39RiCHO6XNCi4fWvQ/x9LuiOePqnOunXrWLt27dbbY94dTafs+FeCz+/Rg3nz5rJg/nyKiop46YXnOf6Ek9ImPgo5pOIYfvhhGQCLFn7HW2+8Rp8z+rPffk2Z9EFslsm498bSrl37yB5DKvogGTXhdZQKZsYFQ4fQIasjf7j0soTjw+6DsOOjkEPY8VHIId3jo5BD2PFRyCHs+CjkkO7xZb30gp/i4H4S6q/kNUg2ML3sDjP7UdJ3QLtgVy7Q1cxWSroCWGVmnSR1BmaVCb06KFOb2MBDVzP7OHhsuZnlBlP5rwDOK5fH72JNW5dgsGGUpP3Lt78Nx3cF8DszmyipHrAROB8YaWY3BbnuUU0d9xCb+fCBpBbASKBjuTKPBTmfTmzQ4z9mNhe4CugczKAonV1xatDH+wAfSXqjgnKHVZSIpF8ApwJZZmaSGlZS7vzgOGneokU1hwfLvv+e/mfEfn3cvHkzffsP4Kijj6k2rlSdOnW46577OfH4oykpKeGcQYPplJ2dNvFRyCEVxzD4rH6sWrmCOrvswq133steDRty530P8Zc/Xca1V5Ww6267cf+Dla+HEfYxpKIPzj5rABPeH8fy5ctp2yqTa669nkGD4zu1oya8jiC5PgCYNHEizz7zFJ07d6FXXg4A1994M8cce9wOOYZ0j49CDmHHRyGHdI+PQg5hx0chh7Djo5BDuseXWrduHWPHjOa+Bx5KONbVTDKzsHNIe5IuBlqb2aXl9s8EziH2Rf5QMzs32P8acI+ZvRfcnwGcb2bTJF1A7AtsHWK/1F9kZs9LWgAcZGYFknoBN5nZkeXaexW4z8zGBvcnEBtg+Fn7lRzDdUChmd0R3D8MuMLMTpB0FbEv388Ar5jZIkmHEPvy/zSx0ztmBXGFZlYvuH06cIKZDZK0DFhcpsl9gQ5mVlhmH8FgxVHAkcCZwC+BDcDw4NQHJO0C3AUcAmwBOgCtgd3Kldt6DMH9+4FpQc7Tg214EFNUWd8A5Obl28SPplZVpEqK+EqsO4u1G4qTiq+/+y4pysQ555xzLjqS+U540AE9mDF9Wlr9sVu3cTtr0vfOsNOIy6J/njLdzPLDzqMifppDanwO5JXdIakB0AKYF+xaV10lkloTmwXwKzPrCrxF7AtyqU3BvyUkPquk2vYrY2a3EpsFsTswUVKWmY0n9mW+AHhC0tmlxcuEls29FnBAmTUZMsoPJARtFZrZK2b2W2Jf+iv6GW8gscGIvGAWwvfl2iq1mZ+/xncL2tgM9AReBk4ARlTZAc4555xzzrkaRRG47GM8W5T5YEJqjAH2KP1CHUz7vxN4wszWV1B+ItA3KNsJ6BLsb0DsS/8aSU2AYxPMYwKxL9oEpze0AOYkWMf/kNTWzD4xs78DU4EsSS2JLZb4CPAosdkPAN9L6iipFrHZDKVGAReVqTOngnYOkrR3cLsu0An4FlgL1C9TdC9gmZkVK7YuROlFbsuX+xboJGnX4FSGXwV11wP2MrO3ia1t0S3RPnHOOeecc865nZmvmZACwXn3pwIPSLqG2CDN28D/VRLyAPAfSZ8DXwKfAWvMbG5wasSXwEJigw6JeAB4UNInxH6VH2Rmm1IwonVJ8KV9S5DrO0B/4EpJxUAhUDoz4Spipw78QOyUgnrB/ouBf0r6mNjrbjxwQbl22gb5i1gfvgX8N+jfiZI+Ddr+O/BmcJzTiPUXZraibDkzu1LSi8CnwHxgZtBOfeB1SbsRWyM18dXRnHPOOeecc24n5msmhCCYubCLmW2U1BZ4l9j6AVWet+/C42sm1Ay+ZoJzzjnn3P/a2dZM2LVJe9uv3z/CTiMu3913UmTXTPCZCeHYA3gvWEhQwG99IME555xzzjnnXLrwwYQQmNlaIJKjS84555xzzjnnXHV8MMG5OAg/VaEmSPY0hY3FJUnF77ZL7aTinXPOOee2h2T+zvW/kHdefjUH51Jk2HmDadGsMXk5nbe5jlEjR9A1uwPZWe24/bZb0y4+CjmEHQ/QNastB/bI4eBeeRx+UC8Abrr+Wnp070qvvBxOOPYoFi9eHNljCDs+CjmEHR+FHMKOj0IOYcdHIYd0j49CDmHHRyGHsOOjkEO6xy9cuJCjjzyc7l07kdstm/vvvSfhOqIm7Es+1oRLQ2JmvvnmWzVbbm6ebSi2KrfRY9+3SZOnW6fs7GrLVrQVbtxsrdu0sc/nfG1r1m2yLl262ozZn6VNfBRy2N7xq9Zvjmtr3qKlzftu6c/2fbt05dZ67vjHPXbe0GFp2Qf+OvI+8D7wPkiX+CjkEHZ8FHIIOz4KOaR7/IZis2++W2yTJk+3DcVmy1b+aO3at99aR25unoX9t3qiW93G7azlxW+mxQZMC7u/Ktt8ZoJzKdL74ENo1KjRNsdPnTKFtm3b0bpNG+rWrcsZ/foz/M3X0yY+CjmEHV+VBg0abL29fv26Skeawz6GsOOjkEPY8VHIIez4KOQQdnwUckj3+CjkEHZ8FHIIOz4KOaR7PEDTpk3pnpsLQP369cnK6sjixQUJ1eFqHh9McC4iFi8uIDOz+db7GRmZFBTE/yEddnwUcgg7vpQkTjvxWA47sCdP/PuRrfv/es3VtGvdnOefe4ZrrrshkscQdnwUcgg7Pgo5hB0fhRzCjo9CDukeH4Ucwo6PQg5hx0chh3SPL+/bBQuYNWsmPXr22uY6oiDs0xdqwmkOPphQA0kqrGDfBZLODm5nSZolaaaktnHWOU7SnCBulqSXU513Je1eImmPHdGWc6nyzrvv8/6HU3npteE8+vCDTPxgPADX/+0m5s1fSP8BA3nogftDztI555xzLjGFhYUM6NuH2++8+2ezLt3OyQcTdhJm9pCZPRncPQV42cy6m9nXCVQz0Mxygu301GdZoUuAnWIwoVmzDBYtWrj1fkHBIjIyMtImPgo5hB2/tZ4gZt/GjTnhxJOZMW3qzx7vN2Agr7363+2SQ7rHRyGHsOOjkEPY8VHIIez4KOSQ7vFRyCHs+CjkEHZ8FHJI9/hSxcXFDOjbh34DBnLKqaclHO9qHh9M2ElIuk7SFZKOI/YF/UJJ7wWPnSVpSjDj4F+S4r5+naTXy8x4GCbpmeD2OEn3BHV+KqlnsH9PSY8F7c2UdHKwv7akO4KyH0u6SNLFQDPgvTK5PihpmqTPJF1fJo8Fkq6XNEPSJ5Kygv31JD0e7PtYUh9JgyXdXSZ2qKS7kunfVMjv0YN58+ayYP58ioqKeOmF5zn+hJPSJj4KOYQdD7Bu3TrWrl279fbYMaPp2Cmbr+fN3Vpm+Buvs3+HrEgeQ9jxUcgh7Pgo5BB2fBRyCDs+Cjmke3wUcgg7Pgo5hB0fhRzSPR5ii/ZfMHQIHbI68odLL0soNrKUJluE1Qk7Abdjmdnbkh4CCs3sDkkdgX7AQWZWLOkBYCDwZAXhz0jaENwebWZXAucDEyXNBy4HDihTfg8zy5F0CPAY0Bm4GhhrZoMlNQSmSHoXOBtoBeSY2WZJjcxspaTLgMPNbHlQ59XB/trAGEldzezj4LHlZpYr6bfAFcB5wDXAGjPrAiBpb6AYuFrSlWZWDJwLDNv2Xo05+6wBTHh/HMuXL6dtq0yuufZ6Bg0eEnd8nTp1uOue+znx+KMpKSnhnEGD6ZSdnTbxUcgh7HiAH5Z9z1n9YxN3SjZvpk/f/hx51DGcPeAMvp73FbVUixYtW3LvPx+K5DGEHR+FHMKOj0IOYcdHIYew46OQQ7rHRyGHsOOjkEPY8VHIId3jASZNnMizzzxF585d6JWXA8D1N97MMccel1A9rmaRmYWdg0sxSYVmVq/cvuv4aQCh7O3fA/8HLAuK7g48Z2bXlYsfB1xhZtMqaO9MYoMPp5rZm2XK32BmY4P73wFdgXeB3YDNQXgj4GjgRuAhMxtdru4FQH7pYIKkC4gNYNQBmgIXmdnzQbmDzKxAUi/gJjM7UtJ0oL+ZzS1X7yPA28AXwFNm1qOC4zo/aIvmLVrkffX1t+WLuJ3MxuKSpOJ32yXuST/OOeecc2nhoF75TJ8+LeK/of/crk3aW7Mz7w47jbgsuPuE6WaWH3YeFfGZCU7Af8zsz0nU0QVYQeyUhLLKj1RZ0F4fM5vzsyTiWKlUUmtiMw56mNkqSU8QG5gotSn4t4TqX9uPEhtE+RJ4vKICZvYw8DBAXl6+j7o555xzzjnnXMDXTHBjgNMlNQaQ1EhSy3iDg7UQjgW6A1cEX/hL9QvK9CZ2qsEaYCRwkYLRA0ndg7KjgWGS6pTmEexfC9QPbjcA1gFrJDUJ2q3OaOB3ZfLdG8DMJgPNgTOB5+I9Xuecc84551z6S/aSjTtqizIfTKiZ9pC0qMxW6SopZvY58BdglKSPiX35blpJ8Wf006Uh35W0K/AIMNjMFhNbM+Ex/fSq3yhpJvAQULp4wN+AXYCPJX0W3IfYTIHvgv2ziX3Jh9jMgBGS3jOz2cBMYrMJngUmxtEXNwJ7K7aw42zg8DKPvQhMNLNVcdTjnHPOOeeccy7gaya47aKqNRaiQtJw4C4zG1Nd2by8fJs4ObKH4nYQXzPBOeecc+7n0nXNhIyB94SdRlzm33W8r5ngXFSUXkUCmB3PQIJzzjnnnHOuBlF8a7a5qvlggtsuzOywsHOojJmtBvYPOw/nnHPOOeecS1c+mOCcc3FK9jSFLVuSO62sVi0fQXfOOeecc9HgCzA6l0KjRo6ga3YHsrPacfttt+508cnWMey8wbRo1pi8nM7b1Hay7aciPtk6Ljh/MC0zm5DfvcvWfWcP7M8BPbrTKy+HDu1a0SsvZ7u1n4r4mvA8hh0fhRySfR5rQh+EHR+FHNI9Pgo5hB0fhRzCjo9CDukev3DhQo4+8nC6d+1Ebrds7r83PdYbcNuZmfnmm2/VbLm5ebah2KrcCjduttZt2tjnc762Nes2WZcuXW3G7M+qjasp8amoY/TY923S5OnWKTs7oXbTpQ/WbdpS7Tby3XH2wUfTrGOn7P95bEOx2cWXXGbX/PX6SPdBuj+PYcdHJYdknsea0Adhx0chh3SPj0IOYcdHIYew46OQQ7rHbyg2++a7xTZp8nTbUGy2bOWP1q59+6115ObmWdh/qye67dqknbW9/O202IBpYfdXZZvPTHAuRaZOmULbtu1o3aYNdevW5Yx+/Rn+5us7TXwq6uh98CE0atQooTZT2X5k+mDvivvAzPjvyy/St9+A7dZ+Kvog3Z/HsOOjkkMyz2NN6IOw46OQQ7rHRyGHsOOjkEPY8VHIId3jAZo2bUr33FwA6tevT1ZWRxYvLkioDlfz+GCCcymyeHEBmZnNt97PyMikoCD+D9l0j09VHcmo6X0w8YMJNGnchHbt22+39sN+DlORQ7rHRyWHZNSEPgg7Pgo5pHt8FHIIOz4KOYQdH4Uc0j2+vG8XLGDWrJn06Nlrm+twNYMPJrhqScqU9LqkuZK+lnSPpLrbUE9hknlUGS+poaTfbkO910m6Ytszc27HePH55zijf+WzEpxzzjnntqfCwkIG9O3D7XfeTYMGDcJOJwlCSo8tynwwwVVJsVfwK8BrZtae2CUV6wE3VVA2qauDKCaZ12RDIOHBhFRp1iyDRYsWbr1fULCIjIyMnSY+VXUkoyb3webNm3n9tVc4/Yx+27X9sJ/DVOSQ7vFRySEZNaEPwo6PQg7pHh+FHMKOj0IOYcdHIYd0jy9VXFzMgL596DdgIKecelrC8a7m8cEEV50jgI1m9jiAmZUAlwKDJe0haZCkNySNBcZIqidpjKQZkj6RdHJVlUtqJWmOpCeBT4Hmkq6UNFXSx5KuryCmsjZuBdpKmiXp9qBshXVJulrSV5I+ADqkoJ/I79GDefPmsmD+fIqKinjphec5/oSTdpr4VNWRjJrcB2PHvMv+HbLIzMzcru2H/RymIod0j49KDsmoCX0QdnwUckj3+CjkEHZ8FHIIOz4KOaR7PMTWbbpg6BA6ZHXkD5dellCsq7mS+iXZ7RSygelld5jZj5K+A9oFu3KBrma2MpidcGpQZh/gI0lvmJlV0UZ74Bwz+0jSUcH9noCANyQdYmbjy5TfWFEbwFVAZzPLAaisLmAd0B/IIfYemFH+GLdFnTp1uOue+znx+KMpKSnhnEGD6ZSdvdPEp6KOs88awIT3x7F8+XLatsrkmmuvZ9DgITus/Sj0wTm/OZMJ48exYvly2rdpzl+uuY5zzh3Cyy+9UOXCi6lqPxV9kO7PY9jxUckhmeexJvRB2PFRyCHd46OQQ9jxUcgh7Pgo5JDu8QCTJk7k2WeeonPnLlsvUX39jTdzzLHHJVRPlET8DIK0oKq/47mdnaSLgdZmdmm5/TOBc4gNJBxqZucG+3cB7gIOAbYQ+9W/tZktlVRoZvXK1dMKeM/MWgf37wBOB1YHReoBt5jZv0vjK2sD2A0Ybmadq6oLqA80MrNrg3L/ABab2R3lcjsfOB+geYsWeV99/W3iHehcGVu2JPd5W6uW/6/nnHPOuWg5qFc+06dPS6s/Unbbb39rcfa9YacRl7m3HzvdzPLDzqMiPjPBVedzYl/It5LUAGgBzCM2mLCuzMMDgX2BPDMrlrSA2Jf8qpSNF7HBg39VUT7eNiqsS9Il1eQDgJk9DDwMkJeX76NuzjnnnHPOORfwNRNcdcYAe0g6G0BSbeBO4AkzW19B+b2AZcGX/MOBlgm2N5LYegz1gvYyJDWOs421xGYdVFfXeOAUSbtLqg+cmGCOzjnnnHPOObdT85kJrkpmZpJOBR6QdA2xAai3gf+rJOQZ4E1JnwDTgC8TbG+UpI7Ah8GlUAqBs4Bl1bVhZiskTZT0KfCOmV1ZUV1mNkPSC8DsoN6pieTonHPOOeecS29Rv+xiOvA1E5yLQ15evk2cPC3sNFya8zUTnHPOOVfTpOuaCS3PuS/sNOLy1W3HRHbNBD/NwTnnnHPOOeeccwnx0xycc84555xzzu085JeGTAUfTHDOuR0k2dMUvv6+MOkcWu+7Z1LxfqqFc845V/MkcyqmnzS/8/LTHJxLkWHnDaZFs8bk5XTe5jpGjRxB1+wOZGe14/bbbk27+CjkEHZ82DksWbyIc884jpMOz+fkI3rw1KMPbH3smcceonuXjuTndObqP/8RgBUrVnDsUUfQuFF9LvvD7wG44PzBtMxsQn73LltjX/nvS+TndGaPurWYPq3q9UP8vZD+ryNI/nmsCX0QdnyydSxcuJCjjzyc7l07kdstm/vvvWenah+Sfx3XhM+zKDwPYcdHIYd0j1+0cCHHHnUEed2yyc/pzD/vi72ObrjuGr74/HMkzZI0SlKzhCt3acsXYHQuDvEswPjBhPHsuWc9zht8NtNnfZpwGyUlJXTptD9vvTOajMxMeh/Qg/88/RwdO3VKi/go5BB2/PbOIZ6ZCT98v5Qfli2lU5cc1hWupe+xB3Pvv59nxQ/LePi+23n77XfYddddWbZsGY0bN2bdunXMnjWTzz/7lM8/+5R/3HN/7LVcrx5DB5/DtJmfAPDlF19Qq1YtLv79Bdzy9zvIy698HaCd/b0Q9ddRvJJ5HmtCH4Qdn4o6lixZwtIlS+iem8vatWs5sFceL7782g47hrDbh+Q/j9L98wzCfx7Cjo9CDukQX93MhCVLlrB06RK6d4+9jnofkM/zL79KRkYmxx39K2ZMnyZJFwOdzOyCuBIL0W5N97dWabIA45y/+wKMztV4vQ8+hEaNGm1z/NQpU2jbth2t27Shbt26nNGvP8PffD1t4qOQQ9jxUchh3yb70alLDgB71qtPm/Yd+H7pYl546lGG/O4ydt11VwAaN24cK7Pnnhx4UG923W23rXX0PvgQGu3989dyVseO7N+hQ1w57OzvhZrwOoLknsea0Adhx6eijqZNm9I9NxeA+vXrk5XVkcWLC3aa9iH5z6N0/zyD8J+HsOOjkEO6x0PwOur+0+uoQ1ZHFhcU0KBBg7LF9iRNznoQsVM302GLMh9McC4iFi8uIDOz+db7GRmZFBTE/5992PFRyCHs+KjkUKpg4bd88enHdO2ez4Jv5jF98iQO7X0ARx95GNOnTd2mOneEsPsw7Pio5JCMmtAHYcenqo5S3y5YwKxZM+nRs9dO2X5YovA6KiuM5yHs+CjkkO7x5X27YAGzZ//0OlpcUICkhcBA4Nptrtilne02mCCpJDh35lNJL0naQ1IrSYnPEYsgSZdI2qPM/bclNdyGegZJur+C/U0kDZc0W9Lnkt6Oo64FkvaJs90cScclmm+YguP7JNg+l3SjpN2qj3Ru57N+XSGXnn8Wf7ruVurVb0BJyWZ+XL2KcRM+5KZbbuM3Z/bDT3NzbudQWFjIgL59uP3Ou8v/irhTtO9i/HlwqVBYWMiZ/U/ntjvu2vo6apaRgZk1B54Bfh9qgm6H2p4zEzaYWY6ZdQaKgKTPnZEUpatPXAJsHUwws+PMbHUK678BGG1m3cysE3BVCusGyAEiO5hQxXN9uJl1AXoCbYB/JRAbac2aZbBo0cKt9wsKFpGRkZE28VHIIez4qORQXFzMJeefxfGn9uXXx50MQJP9Mjjy2JOQRH6PntSqVYvly5cnVO+OEnYfhh0flRySURP6IOz4VNVRXFzMgL596DdgIKecetpO137YovA6gnCfh7Djo5BDuseXKi4u5sx+p9Ov/5mcfEqFr6NngD4JVxwSKT22KNtRpzlMANoFt2tLekTSZ8GKn7sDSBoqaWrwS/x/S3/1l/SEpIckTQZuC+4/KOkjSd9IOkzSY5K+kPREaYNBmWlBO9eX2d9D0qSgnSmS6kuqLen2oP2PJQ0Lyh4maXiZ2PuDmQQXA82A9yS9Fzy2dVaApLODemZLeirYd6KkyZJmSnpXUpNq+qwpsKj0jpl9XFVOZeL+GPxyP0VSu6DMGcEMkdmSxkuqS2ywol8we6SfpJ6SPgzymySpQxA7SNIrkkZImivptjJtHyNpRlDvmGDfnsHzMSWo6+TyB6aY24OcPpHUr8yxTZD0BvB5VZ1jZoXEBqhOkdSofKzKzYKRdIWk64LbPYLnZ1ZpHtU8FztEfo8ezJs3lwXz51NUVMRLLzzP8SeclDbxUcgh7Pgo5GBmXHvF72jTrgPnnH/R1v1HHHMCUyaNB2DuV19RVFzEPvvENZFphwu7D8OOj0oOyagJfRB2fCrqMDMuGDqEDlkd+cOllyXUdk1oPwqi8DoK+3kIOz4KOaR7PMReRxcOO48OWVlcfMlPr6N5c+eWLXYy8GVCFbu0tt1/wQ1+JT4WGBHsag8MMLOhkl4kNnr1NPCKmT0SxNwIDAFKl9jMBA40s5JgwGBv4JfAScAbwEHAecBUSTlmNgu42sxWSqoNjJHUldiL+wWgn5lNldQA2BC0tcbMekjaFZgoaVRlx2Rm90q6jNiv5D/7aU9SNvCXIN/lkkpX7fkAOMDMTNJ5wB+By6voun8CL0j6PfAu8LiZLa6ifKk1ZtZF0tnA3cAJxM5dOtrMCiQ1NLMiSdcC+Wb2+yDvBsDBZrZZ0pHAzfw0spgDdAc2AXMk3QdsBB4BDjGz+WWO82pgrJkNVuy0jymS3jWzdWVyPC2osxuwD7HnbXzwWC7Q2czmV3egZvajpPnEXlM/i5XUqorQx4GhZvahpG27vlAFzj5rABPeH8fy5ctp2yqTa669nkGDh8QdX6dOHe66535OPP5oSkpKOGfQYDplZ6dNfBRyCDs+CjnMnPohb/73OdpnZdPnqAMB+MOf/spp/X7DXy7/Lfndu1C3bl0efvQJFAx3d9y/NWt//JGioiLefPN1OnfpyuxZM1mxfDnt2zTnL9dcx96NGnH5pRez/IcfOO3k4+naLYc33x5ZYQ47+3uhJryOILnnsSb0Qdjxqahj0sSJPPvMU3Tu3IVeeTkAXH/jzRxzbHwTE9O9fUj+8yjdP88g/Och7Pgo5JDu8QAfTprIc888RXbnLhzQozsA191wE08+8RhffP4Zkj4GviUFs9Fd+thul4aUVAJ8EtydQOyLczNiU/fbB2X+BOxiZjdKOhS4EWgI1ANGmtkFweDBe2b2nyDmiaCOZyS1CcqV1vcksUGJ1yRdAJxPbMCkKXAR8BnwkJkdVC7Xl4GuwPpg117AMGKnZ1xhZicE5e4HppnZE5IWEPsyvjx4bAGQDwwA9jOzq8u10QW4M8ilLjDfzI4JZhVs/VJfLqYRcAyxwZijgM5AdjU5HWFm30jaBVhqZr+Q9BDQFngx6J8V5duV1By4l9gXcwuel6yg3EFmNjQo9w5wE7EBnf5mNrBcztOA3YDNwa5GxAYyvihT5i7gEzN7LLj/FPAS8CPwVzM7vHxflO3jsgM4kmYTe553LxsbDCYMD06zQdIVxF5XdwOzzaxlsL8r8GxpuXLtnR/UTfMWLfK++vrbitJyboeJ59KQ1Wm9755JxUd9VWHnnHPOJa66S0NWpfcvezBj+rS0+gNh96b7W9sh/ww7jbh8dtNRkb005PacmbDBzHLK7gh+BdtUZlcJsS+BAE8Ap5jZ7OAL7GFlypX9VbtsHVvK1bcFqCOpNXAF0MPMVgUDEFUt1CfgIjP72c9sknrz81NBklns7z7gH2b2hqTDgOuqCzCzlcCzwLPBqQ2HAN9Xk5OVvx0MyvQCjgemS8qroLm/ERu0OTX4Ij6uzGPln7OqXjcC+pjZnCrKVKX8c115Q1J9oBXwFbFZDmVjN5Pkc2dmDwMPA+Tl5ftKdc4555xzzjkXiNKlIesDS4Jf1AdWV7gaDYh9sVyj2NoExwb75wBNJfWA2JfR4DSMkcCFQdtI2l/SnsSm6nSStGswZf9XZdpYG+Rc3ljgDEm/COoqnf6/F1B6DZZzqjsASUfop3Uj6hObWfBdNTkB9Cvz74dBfFszm2xm1wI/AM0ryL9sfoOqyw/4CDgkGLgpe5wjgYsUjBxJ6l5B7ARi6zXUlrQvsUGSKXG0uZWkesADwGtmtqqCIt8DjSX9Ijh15QSAYJHMtcHgCkD/RNp1zjnnnHPOObcD1kxIwDXAZGJfdidT8Rf1uASzG2YSWyNhITAx2F8ULPZ3n2ILP24AjgQeJfYL94zgS/APxGZJLAzWdfgUmA/MLNPMw8AISYvLTss3s88k3QS8H5zqMZPYl/PrgJckrSI24NC6msPIA+6XVPoL+6NmNhWgipwA9g7OWdpE7JQLgNsltSc2a2AMMJvYwMRVkmYBtwC3Af+R9BfgrWpyw8x+CE4DeEVSLWAZ8GtiMxzuBj4O9s8n+CJfxqvE1ryYTWz2xB/NbKmkrOraJbbopYI+eTVor6L8iiXdQGyQooCfLwYzBHhE0hbgfWBNHO0655xzzjnnnAtstzUTnIsqSfWCq0Eg6SqgqZn9oaqYvLx8mzh52g7Jz7nK+JoJzjnnnNsedro1E5rtb+3SZM2ET2/cOddMcC6qjpf0Z2Kv/2+J77QO55xzzjnnnHMBH0xwOx0ze4HYJUKdc84555xzzm0DH0xwzjnnnHPOObfTEFuvNOiS4IMJzsXBSO5cMj/P3KVCm8bJrXcAMHHeiqTie7ffJ+kcnHPOORctJUn8net2XlG6NKRzae2rOXM4oEf3rdt+++zF/ffeHXf8sPMG06JZY/JyOm9T+wsXLuToIw+ne9dO5HbL5v5770m4jmRz2LhxI71/2ZOeud3I7ZbN367/a0LxqTiGDu1akZ/ThV55ORzUK/G1akaNHEHX7A5kZ7Xj9ttuTTg+FXUkGz9s6GBaZjQhP6fL1n033nAdbVtlMuzUwxh26mFMfn90lXWUlJRwwWmH85cLzwTgtWce5Zyje7D7LmL58uU/Kzv+/XH0yssht1s2vz7iUABWr17NgH6n061zFjldOvLRhx/Gn3+Sr0NIQR8mmUPY7aciB38vhR8PsffiAfndOe3k8hdGql4qPlPDPoaa8F4KOz4KOYQdn2wdyf59k2z7UYgH6NyhDQfkd+OgXrkcelBPAD6ePYs5X36JpFmSpknquU2Vu7TkV3NwLg65efn2wYdT4y5fUlJCu9aZvD/hI1q0bBnXzIQPJoxnzz3rcd7gs5k+69OEc1yyZAlLlyyhe24ua9eu5cBeebz48mt07NQp7jqSzcHMWLduHfXq1aO4uJgjDu3NHf+4h14HHLDDjqFDu1ZM/Gga++yT+C/oJSUldOm0P2+9M5qMzEx6H9CD/zz9XELtJ1tHVfHxfl5/MGE8e9arx9Bzz2HarE+A2GBCvXr16HHSuXHV8fITD/LVZ7NYX7iWGx98lnmff0y9vRpy9Xmn/ax/V69ezeGHHMjrw0fQokULli1bRuPGjTnv3HM4qPfBnDvkPIqKili/fj0NGzaMP/8kXoepeB6TySHs9lOVQ01+L6VDfKl77voHM2ZMY+2PP/LK68MTik32MzXsY6gJ76Ww46OQQ9jxqagj2b9vwu6DeOKLN2+ptp7OHdrw/sQp/KLM/wsnn3A03y5YwNfz5krSccQu+X5YXImFaI9m+1u78x4IO424fPK3X0f2ag4+M8G57eC9sWNo06YtLVq2jDum98GH0KhRo21us2nTpnTPzQWgfv36ZGV1ZPHigoTqSDYHSdSrVw+A4uJiNhcXJ3Q+WiqOIRlTp0yhbdt2tG7Thrp163JGv/4Mf/P1HVpHKnLoffAhNNp725/HH5YuZvL7ozm2z1lb97Xr1JX9Mlr8T9kXnnuWk085jRYtYo81btyYNWvW8MEH4xk0eAgAdevWjXsgYWv+SbwOU9aH25hD2O2nKodk1IT3UtjxAIsWLWLEO29x7uDzEoorlexnatjHUBPeS2HHRyGHsONTUUeyf9+E3Qfb8/8ESWwpKSm9uxewOCUVb3dCSo8tynwwwbnt4OWXnueMvv1Da//bBQuYNWsmPXr22uFtl5SU0CsvhxbNGnPEkb+mZ69ty2Fbj0ESJx57FAf2zOPfjzycUOzixQVkZjbfej8jI5OCgsQGM5KtIxU5VOahB//J+accyh1XX8zaNasrLffgrVcz9Iq/UqtW9f9FzJ37FatXreKoXx3GgT3zeOapJ1kwfz777LMv5w85lwPyu3Ph+eexbt26lBxDPLZnH6ZD+6nKYWd/L4UdD3Dl5Zdw0y23xfVerM62fKaGfQw14b0UdnwUcgg7PlV1JPP3Tdh9kKr3kiROOfEYDjmwB4//O/b/wt9vv4uCgkVIWgjcAfw54Ypd2vLBhIiQ9IvgXKNZkpZKKghur5b0edj5pYqkEyTNlDRb0ueShoWdU6oVFRXx9vA3ObXPGaG0X1hYyIC+fbj9zrtp0KDBDm+/du3aTJ4+i3kLFjFt6hQ++zTxaaXJHMOYcR/w4dQZvDb8Hf714D/5YML4hNuviYYOu5DPvpzHQ6+8R6N9m/Cv266tsNxH40bRsNG+7J/dLa56N2/ezIwZ03n1jbd44+2R3HLz35j/zdfMmjmDocMu5KNpM9ljzz25YxvPz3Th8fdSuN5+aziN921Mbl5e0nWF9f9CKo/BubCl4u+bdDdyzHgmfDiN/772Fo/860EmfjCeRx9+iMzM5phZc+BS4N9h5+l2HB9MiAgzW2FmOWaWAzwE3BXczgGqP4mpEpJCu2KHYmqVub8L8DBwopl1A7oD4xKoL+lj2RH9MWrEO3TLyaVJkybbu6n/UVxczIC+feg3YCCnnHraDm+/rIYNG3LoYYczatSIhOKSPYaMjAwgNt3+pFNOZerUKXHHNmuWwaJFC7feLyhYtLW+HVVHKnKoSJMmTahduza1atXiuDN+w5xPZlZY7rMZk/nwvRGcdWQuN10+lFmTP+DWP15Yab0ZmZn8+qij2XPPPdlnn33o3fsQVqxcSUZm5tZfbU7tczqzZs5I+hjitb36MF3aT1UOO/t7Kez4DydNZPjwN+jQrhVnD+zPuPfGcu7ZZ1UfWE4yn6lhH0NNeC+FHR+FHMKOT1Udpbbl75uw+yBVx98siNm3cWNOOOkUpk+dynPPPMleP53K+BKQNgswSumxRZkPJqSH2pIekfSZpFGSdgeQ1FbSCEnTJU2QlBXsf0LSQ5ImA7dJ6inpw2BGwCRJHYJygyS9LmmcpLmS/hrsv0HSJaWNS7pJ0h/KJyXpMkmfBtslwb5WkuZIehL4FGheJqQ+scuRrgAws01mNqdMzqeXqbsw+Pew4NjeAD6XVEvSA5K+lDRa0tulcZLyJL0f9MdISU2D/eMk3S1pGnC1pPnBwAaSGpS9nwovvfg8Z/Tb8ac4mBkXDB1Ch6yO/OHSy3Z4+wA//PADq1evBmDDhg2MeXc0HTpkxR2f7DGsW7eOtWvXbr397uhRZGfHv4J3fo8ezJs3lwXz51NUVMRLLzzP8SeclFAOydaRihwqsmTJkq23J777Nq3aV/y8DLnsGp5772OefncGV9/5CDm9enPVbQ9WWu+JJ57MpIkfsHnzZtavX8/UqZM54IBfkpnZnK/mzAFg3NgxZHVMbMG2ZGyvPkyX9lORg7+Xwo//20238PWCRcyZt4Ann3meww4/gseffDrueEj+MzXsY6gJ76Ww46OQQ9jxqagj2b9vwu6DVPRh+f8Xxr47mo7Z2ezXtBmFhYWlxY4A5iZUsUtrof1q7RLSHhhgZkMlvQj0AZ4m9iv/BWY2V1Iv4AFib2KATOBAMyuR1AA42Mw2SzoSuDmoA2Kjh52B9cBUSW8BjwGvAHcHMwv6U26UUVIecC7QCxAwWdL7wKog33PM7KOyMWa2MhgU+FbSGGA48JyZVTfzIhfobGbzg4GDVkAnoDHwBfBYMBhwH3Cymf0gqR9wEzA4qKNu6SqokloBxwOvBcf2ipkVl29U0vnA+QDNW/zvwnMVWbduHWPHjOb/2Tvz+Cqq8/+/P4C4oSJVFBIomxIIS0gCuKCCu+IOiqgVREX7rdW6VX91w6p1Qauoba21rnW3rmgRXEAEZQmCAoqiYEnACipKIJAQnt8fd4IxZuVeMjPJ8+Z1Xtw5cz7P+ZxzZ27unHvmzN1/ua9W5ctz5hnDmTplMqtWraJzh3Suufb6zQvY1Ybp06bxxOOP0aNH4lFuANff+CeOPOroevPw1YoVnDtqBKWlpWyyTQwZegpHD679o8CSbcPX//sfw4aeCMDG0o0MO/U0Dj/iyFrX36xZM+4cdy/HDj6C0tJSRowcRffMzFrrUxEjFR5GnHEa77wzmW9WraJLx3Zcfe0Ypk6Zwofz5rKuZBN7pLXjd2Nur1PMFx67n2cevJfvVn1N3+xeHHnk0fzt/gfI6NaNw444kr7ZvWjSpAkjzzqHzB49+PNd93DWmadTXFxMh06duP+Bh2pdV7LHYSr6MBkPYdefCg9+LoWvTwXJfqaG3YaGcC6FrY+Ch7D1qYiR7PebsPsgFX349df/4/RhicuHjRs3cvKw4Rx2+JG02LEFJxx7FJLmAesJvjs7jQN/NGQEkTQGKDSz24ML30lmtlew7wpgG+AuYCWwqJx0WzPrJulh4G0zeyTQtAPuJnGRb8A2ZpYhaSRwsJmdGZT7I/Ctmd0laRLwe2AP4BwzG1quHoKZCr8ws2uD7RsCPy8HdXespn09gUOBM4F5ZjYy8DzezJ4LyhSaWQtJA4HrzGxQkH9XoHko2H4eeAL4BJgOfBFU0xRYYWaHS5ocxJgSaPYn8dia4yW9B5xrZtXe+FbXR0NWpDaPhnScmkjF5/W0xd8kpR+wV90fE+g4juM4TrSpzaMhq+Kg/fsxJ292rL7s7tC2q3U9r+qZl1Fi7phDIvtoSJ+ZEA82lHtdCmxP4haV1cG6CpVRfun0G0hc4J8YDE5MLrev4tVJ2fYDwEhgTxIzFepCtcu2m9lHwEeSHgOWBPVsJLjtJpgN0by28QIELDCzfWvyZGbTgtsxBgJNaxpIcBzHcRzHcRzHcX6Kr5kQU8zsB2CJpJNh82KHVS2/vgtQ9vyXkRX2HSapVbAOwwnAtCD/BeBIoC/weiUxpwInSNpB0o7AiUFelUgqm2lQRhbwZfB6KVC23PNxJGZfVMY0YEiwdsIeQFm8RcDukvYN6tpGUnXztx4lMaOh9nOvHcdxHMdxHMdxHMAHE+LO6cDZwT1KC4Djqyh3G3CzpA/4+WyUmcC/gQ+Bf5vZbAAzKwbeBp4xs9KKAc1sDvBwoJ8BPGBmlS8P/yMCfh8s0DgXuJ4fBzf+ARwUtGVfqp6N8G8gH1hIYt2IOcD3gd+hwK1BjLnAftV4eRzYFXiyBs+O4ziO4ziO4zhOBfw2hwhiZmPKvV5KYoHEsu3by71eQmL2QEX9yArb7wF7l8u6utzrfDM7oWKM4FaDfYCTq/H5Z+DPFfJ+4rfCvjVApas+mdn/gvrKuCLIn0y52zLMbJOky8ysUNIvSAxmfBTsmwscWEnsgZVUOQB4zsxWV+bHcRzHcRzHcZwGSgweuxgHfDDB+RmSupN40sILZhbFx7uMl9SSxLoKN5jZV3URS7oHOIoqBjYcx3Ecx3Ecx3Gc6vHBhEaMmT1M4laFivkLgU717ae2VDHToC7636bIiuM4juM4juM4TqPEBxMcpxYIf7yjEz5KwXy8/bv8Iil96abkHk/Z1M8jx3Ecx4kczZo2rr/PIjXfqxo7vgCj46SQia9PoFdmVzIzujD2tlsanT7ZGOedM4r2bVuTk1Xpshv1EiPsPoiCHqC0tJR9+mZz0gnH1ln769Gj6JC+B3379Nyc9+G8uQw6YF/652Sxf/9cZs2cWW2MZNqwfv16Buzbj37ZvcnunckN119XJ/2yZcs44tBB9OnVnezemdx797g66aFhHEd+LoWvj4KHZPR+LkVDHwUPYeuj4CFsfbKf6fnLlnHkYQeT3SuTnN49+Ms9dT+fnQaImXny5KmGlJ2dY0UlVm0qXL/ROnbqZAsXfW7fr91gPXv2sjnzFtSoayj6VMSY9NYUmz4jz7pnZtap3lTFiEIfbG39uuJNtUq33Ha7nTJsuB159OCf5BduqDlNeGOyvfv+bOvWPXNz3sGHHGbPv/SqFZWYvfDyq3bAgQdttT5YV7zJVn63xopKzH5YV2y5ffvZ5Knv1Vr/xX+X2/QZeVZUYvb1tz9Yl732it25lAoPfi6F/x6E7SFZvZ9L4euj4CFsfRQ8hK0vKqn5M72m7wWff1lg02bMtnXFm+x/33xvXbrsZXlz59u64k3WJzvHwv6uXte0Q9u9LfuPb8UiAbPD7q+qks9McJwUMWvmTDp37kLHTp1o3rw5Jw87lfGvvNRo9KmIMeCAA2nVqlWd6kxljCj0Qdh6gPz8fCb85zVGjjq7TroyBhxwILvu+tP3QBI/rPkBgO+//542bdtWqU+2DZJo0aIFACUlJWwsKanTVMY2bdrQJzsbgJ122omMjG4sX15Qa31DOI7Az6Ww9VHwkKzez6Xw9VHwELY+Ch7C1kPy37HatGlDnz4/ns9d63g+Ow0TH0xwnBSxfHkB6entNm+npaVTUFD7D9m461MVI0yi0Adh6wF+f+nF3HjzrTRpkro/EbfefidX/7/f06VjO/7fFZfxxxtvrrJsKtpQWlpK/5ws2rdtzcGHHka//v23yPeXS5cyd+4H9O1Xe31DOI6SpSH0Qdj6KHhI5XHUWM+lsPVR8BC2Pgoewtanmi+XLmXevLqdz1FEikeKMj6Y4EQCSaWS5kpaIGmepEslbdHxKSlX0t2p9ug4jYHXXh3P7q13Jzs7J6VxH7j/b9wy9s8sXrKM226/k1+P3rJZD7WladOmzMiby+Kl+cyeNZMF8+fXOUZhYSHDTxnC2DvuYuedd94KLh2nceDnkuM0HAoLCxk+bCi33X6nn88RQdKDkr6WNL9cXitJkyR9Fvy/a5AvSXdLWizpQ0nZ5TQjgvKfSRpRm7p9MMGJCkVmlmVmmcBhwFFA3VZNCzCz2WZ2YUrd1YK2bdPIz1+2ebugIJ+0tLRGo09VjDCJQh+ErX9/+jReHf8KGXt15MwzhjPl7bcYNeJXtdZXxRP/epTjTzgJgCFDT2b2rKoXYEzlcdSyZUsOGjiIiRMn1ElXUlLC8FOGMGz46Zxw4kl10jaE4yhZGkIfhK2PgodUtKGxn0th66PgIWx9FDyErU8VJSUlnDZsKKcOP63O57OzVXkYOLJC3pXAm2a2F/BmsA2Ja6y9gjQa+BskBh9IXHv1B/oB15UNQFSHDyY4kcPMviZxcF8QjJ41lTRW0qxgBO08AElPSRpcppP0sKShkgZKGh/ktZD0kKSPAu2QIP9wSe9JmiPpWUktkvWd27cvixd/xtIlSyguLubZp59i8DHHNRp9qmKESRT6IGz9H2+6mcVLlvHJZ0t49F9PctCgg3nwkcdqra+KPdu0Zeo7UwCY/PZbdOmy11Zrw8qVK1m9ejUARUVFvPnGJLp2zai13sw4/9yz6ZrRjYsuvqTWujIawnGULA2hD8LWR8FDsno/l8LXR8FD2PooeAhbnwrMjF+PPoeuGRlc+Lu6n89RRFIsUk2Y2TvAtxWyjwceCV4/ApxQLv9RS/A+0FJSG+AIYJKZfWtm3wGT+PkAxc9oVpuOdpz6xsy+kNQUaE3ioP/ezPpK2haYJmki8DRwCvCqpObAIcCvSYyolXFNoO0JIGlXSbsBVwOHmtlaSVcAlwB/TMZzs2bNuHPcvRw7+AhKS0sZMXIU3TMzG40+FTHOPGM4U6dMZtWqVXTukM41115f50UAk4kRhT4IW58KRv7qNKa+M5lvVq1i707tuOqaMdz7t/v5/aW/o3TjRrbdbjvu/dv9VeqTbcNXK1Zw7qgRlJaWssk2MWToKRw9+Jha66dPm8YTjz9Gjx496Z+TBcD1N/6JI486ulb6hnAcgZ9LYeuj4CFZvZ9L4euj4CFsfRQ8hK2H5L9jvTe93Pmc2weA62+4qdbns1Pv7GFmK4LXXwF7BK/TgGXlyuUHeVXlV4vMLHmrjpMkkgrNrEWFvNVAV+AvQC9gXbBrF+A84B3gUxLTdI4ETjGz0yUNBC4zs2Mk5QGnmtln5eIeQ2I6UH6Q1Rx4z8x+8okqaTSJGRK0a98+59PPv0xVcx0nNJL9zN+U5J+Mpk0ivpKQ4ziO4zRCkvl+sP8+fZmTNztWf+B3TOtq3f/v72HbqBWzrx70JbCqXNb9ZvaTX2UkdQDGm1mPYHu1mbUst/87M9s1mL19i5m9G+S/CVwBDAS2M7Mbg/xrSNyGfnt13nxmghNJJHUCSoGvAQG/NbPXKyk3mcS0nGHAU7UNT2Iaz/DqCgUn6f0AOTm5PurmOI7jOI7jOA2EqD8poRyrzCy3jpr/SWpjZiuC2xi+DvILgHblyqUHeQUkBhTK50+uqRJfM8GJHJJ2B+4D7rXEMOnrwK8lbRPs31vSjkHxp4GzgAOAylZYmwT8plzsXYH3gf0ldQnydpS099Zqj+M4juM4juM4Tj3yMlD2RIYRwEvl8s8M1qXbh8Tt4CtIXG8dHtwSvitweJBXLT4zwYkK20uaC2wDbAQeA/4c7HsA6ADMUWIVkpX8uIjIxKDsS2ZWXEncG4G/KPGolFLgejN7XtJI4MlgDQZIrKHwaYrb5DiO4ziO4ziOs9WQ9CSJWQW7Scon8VSGW4BnJJ0NfElinTmA14CjgcUkbiE/C8DMvpV0AzArKPdHM6u4qOPP8MEEJxKYWdNq9m0C/hCkivtKgFYV8iYTTMsxs0J+HJUrX+YtoG8ynh3HcRzHcRzHccKkmlu3D6mkrFFu1naFfQ8CD9albh9McBzHcRzHcRzHcRoPolaPXXSqx9dMcBzHcRzHcRzHcRynTvjMBMdxnEZEsqPwTX0Q33Ecx3EaHMl8P/CvBo0Xn5ngOClk4usT6JXZlcyMLoy97ZZGp4+Ch7D1UfAQd/369esZsG8/+mX3Jrt3Jjdcf129ewhbHwUP550zivZtW5OT1aPO2lTUn4oYcddHwUPc9VHwELY+Ch7C1kfBQ9z1qYoRFUTi0ZBxSJHGzDx58lRDys7OsaISqzYVrt9oHTt1soWLPrfv126wnj172Zx5C2rUNRR9FDyErY+Ch7jri0rM1hVvspXfrbGiErMf1hVbbt9+Nnnqe7FpQ0M4jopKzCa9NcWmz8iz7pmZddI1lD4IWx8FD3HXR8FD2PooeAhbHwUPcdfXFCM7O8fC/q5e17Rj2t7W/+bJsUjA7LD7q6rkMxMcJ0XMmjmTzp270LFTJ5o3b87Jw05l/Csv1SxsIPooeAhbHwUPcddDYqplixYtACgpKWFjSUmdpl+G3YaGcBwBDDjgQFq1alVzwa1Uf9h9ELY+Ch7iro+Ch7D1UfAQtj4KHuKuT1UMp+HhgwmOkyKWLy8gPb3d5u20tHQKCgoajT4KHsLWR8FD3PVllJaW0j8ni/ZtW3PwoYfRr3//evMQtj4qHpKhIfRB2PooeIi7PgoewtZHwUPY+ih4iLs+VTGchocPJjj1jiSTdEe57cskjUlR7AckdU9FLMdxwqNp06bMyJvL4qX5zJ41kwXz54dtyXEcx3GcBoOQ4pGijA8mOGGwAThJ0m5bIpZU5VNIzOwcM1u4xc6SoG3bNPLzl23eLijIJy0trdHoo+AhbH0UPMRdX5GWLVty0MBBTJw4od48hK2PiodkaAh9ELY+Ch7iro+Ch7D1UfAQtj4KHuKuT1UMp+HhgwlOGGwE7gcurrhD0sOShpbbLgz+HyhpqqSXgYWSdpT0qqR5kuZLGhaUmywpt0wr6aagzPuS9gjyOwfbH0m6sayOZMnt25fFiz9j6ZIlFBcX8+zTTzH4mOMajT4KHsLWR8FD3PUAK1euZPXq1QAUFRXx5huT6No1IzZtaAjHUbI0hD4IWx8FD3HXR8FD2PooeAhbHwUPcdenKobT8KjyF17H2cr8BfhQ0m110GQDPcxsiaQhwHIzGwwgaZdKyu8IvG9mVwX1nAvcCIwDxpnZk5LOT64ZP9KsWTPuHHcvxw4+gtLSUkaMHEX3zMxGo4+Ch7D1UfAQdz3AVytWcO6oEZSWlrLJNjFk6CkcPfiY2LShIRxHAGeeMZypUyazatUqOndI55prr2fkqLPrrf6w+yBsfRQ8xF0fBQ9h66PgIWx9FDzEXZ+qGFEj4ncQxAKZWdgenEaGpEIzayHpj0AJUAS0MLMxkh4GxpvZcxXKDgSuM7NBQf7ewETg6aD81CB/MnCZmc2WtAHYzswsmLlwmJmdI+kbYA8z2yhpZxKDEi0q8TkaGA3Qrn37nE8//3LrdYrjOI7jOI7jxJD9++eSlzc7VpfmLdIzrNeF94dto1a8d8VBeWaWG7aPyvDbHJwwuQs4m8QMgjI2EhyXkpoAzcvtW1v2wsw+JTFT4SPgRknXVhK/xH4cLSuljjNxzOx+M8s1s9zdd9u9LlLHcRzHcRzHcZwGjQ8mOKFhZt8Cz5AYUChjKZATvD4O2KYyraS2wDoz+xcwlsTAQm15HxgSvD61DjrHcRzHcRzHcRoAYT+lwZ/m4DjJcwdQ/qkO/wAOkjQP2JdysxEq0BOYKWkucB2JtRBqy++ASyR9CHQBvq+jZ8dxHMdxHMdxnEaNL8Do1Dvl1ycws/8BO1TY3qdc8SuC/MnA5HLlXgderyT2wCrqeQ54LtgsAPYJ1lI4FeiaTHscx3Ecx3Ecx3EaGz6Y4DRGcoB7lZg3tBoYFa4dx3Ecx3Ecx3GceOGDCU6jI3jyQ++wfTiO4ziO4ziOEwLyR0OmAh9McJxaYEDJxk1brN+mmS9P4jipYP6y5Jc46dFulxQ4cRzHcZyGQzLfc63mIk4Dxa9wHCdFrF+/noED9mG/fn3ol92Tm24YA8D5555Fxl4d6Z+TRf+cLObNnVtljImvT6BXZlcyM7ow9rZb6uyha5cO5Gb1pH9OFvv3r/vjaM87ZxTt27YmJ6tHnbUAy5Yt44hDB9GnV3eye2dy793j6rV+SL4Pk9VHwUMy/Zjse1hGaWkp++T24aTjj6mzNtnjYMOG9Yw44WBOO3p/TjliH/5+558AuOGKCzjt6P3p26cXw4cNpbCw8Ce6F57/N9tvI/Jmz07aQ0M4jsLWR8FD2PooeIi7viH8XfHjyPsgFfpkz4XqvucumP8RkuYGKWuLKnBiicx8LMlxaiI7J9emTJtZbRkzY+3atbRo0YKSkhIOP/hAbr39Th584O8MPuZYThoytFp9aWkpPbvvzav/mURaejoD9unLI/96km7du9faZ9cuHZj2/mx22223mgtXwrtT32HHHVtwzqgzyZs7v876FStW8NWKFfTJzmbNmjXs1z+HZ557sdZtSLb+ZPswFe9BFDwk04/JvodljLvzz8yZM5s1P/zA8y+Nr5O2Ov+1mZlgZhStW8sOO7ZgY0kJ55xyJJdeewsdu3SlxU4706PdLvz+skvYvXVrLv/9lQCsWbOGE48bTHFxMXeOu5eionVb3IcN4TgKWx8FD2Hro+Ah7nqI/98VP468D1Khh5rPhZpmJlT3PXf6tHdZ8sXnsbppYKd2GZb1uwfCtlEr3r3sgDwzq/uvhPWAz0xwnBQhiRYtEg+QKCkpYePGkjo9G3bWzJl07tyFjp060bx5c04edirjX3lpa9mtlAEHHEirVq22WN+mTRv6ZGcDsNNOO5GR0Y3lywvqrf5k+zAV70EUPCTTj8m+hwD5+flM+M+rnDXqnC3ykOxxIIkddkycixs3/ngutthpZyDxhWh9UdFPzs/rr7uGSy+/gu222y5pDw3hOApbHwUPYeuj4CHueoj/3xU/jrwPUqGH1PxtTeZ7rtMw8cEEx0khpaWl7N8/m87t92TQwYfSt19/AMZcexV9+/Ti8ksvZsOGDZVqly8vID293ebttLR0CgrqdhEniWOPOpz9+uXwz3/cv+UNSQFfLl3K3LkfbO6D+iDZPkzFexAFD6liS9/Dyy/9HTfdfBtNmoT3J6a0tJTTBg/g8L570X//QfTISgzoX3/5/9EhfU8WLfqE//vNbwH4YM4c8vOXcdTRg1NSd0M4jsLWR8FD2PooeIi7PhWE3QY/jrwPUqFPFVV9z12xvABJH0q6U9K29W7MCQ0fTHC2GEmlwb1RCyTNk3SppCbBvlxJd4fsL0vS0eW2j5N05dass2nTpkybMYePF/+XvNmzWLhgPmP++Cfmzf+Ed9+fxXfffssdY2/davW/Ofld3ps1hxfH/4e//+0vvDv1na1WV3UUFhYy/JQhjL3jLnbeeedQPDjJsaXv4Wuvjqf17q3JzsnZiu5qpmnTpjzx6ru8On0BCz7MY/GihQBcN/avfPHf5WRkdOO5Z55m06ZNXHH5Jdx62x2h+nUcx3GcqFPV99xu3TMB+gKtgCvCdenUJz6Y4CRDkZllmVkmcBhwFHAdgJnNNrMLQ3UHWcDmwQQze9nMtmzVnjrSsmVLDjhoIG9MfJ0927RBEttuuy1njjyL2bMqX3uhbds08vOXbd4uKMgnLS2tTvWWlW/dujXHnXAis6qoa2tSUlLC8FOGMGz46Zxw4kn1WneyfZiK9yAKHpIlmffwvenTGD/+Zbp26cCZp5/K5Lff4qwzz9hKTmtmp51bkrPPAbz3zpub85o2bcrJw07lxRf+zZo1a1i4YD6HHzqQrl06MHPG+ww96TjyZs/e4jobwnEUtj4KHsLWR8FD3PWpIOw2+HHkfZAKfaqp7HuumW0AHgL6hWasjkiKRYoyPpjgpAQz+xoYDVygBAMljQeQ1E/Se5I+kDRdUtcgfwdJz0haKOkFSTMk5Qb7CiXdFMx4eF/SHkF+B0lvBVOp3pTUPsg/WdL8oPw7kpoDfwSGBbMnhkkaKeneoPweQZ3zgrRfsn2wauVKVq9eDUBRURFvv/kGe3XtylcrVpT1ES+/9CLdMytfRTe3b18WL/6MpUuWUFxczLNPP8XgY46rdf1r165lzZo1m1+/MWkimVXUtbUwM84/92y6ZnTjoosvqde6Ifk+TFYfFQ/JkOx7eMNNN/P50nwWLV7Ko48/xcBBB/PQo//aCk6r5rtvVrHmh9UArF9fxMx3J/PLTl1YtvQLINHG8a+8zN5dM9hll13I/2oVixYvZdHipfTrvw/PPf8yOblbvs5RQziOwtZHwUPY+ih4iLs+FYTdBj+OvA9SoU8FNX3PVeKq9wSg7iudOrGlWdgGnIaDmX0hqSnQusKuT4ADzGyjpEOBPwFDgP8DvjOz7pJ6AHPLaXYE3jezqyTdBpwL3AjcAzxiZo9IGgXcTeKD61rgCDMrkNTSzIolXQvkmtkFAJJGlot/NzDFzE4MPLdItv1ffbWC8889i9LSUjZt2sSJQ07mqKOP4ZgjD+WbVSsxjF69srjnr/dVqm/WrBl3jruXYwcfQWlpKSNGjqJ7Zmat6//6f/9j2NATAdhYupFhp57G4UccWac2nHnGcKZOmcyqVavo3CGda669npGjzq61fvq0aTzx+GP06JF4PCXA9Tf+iSOPOrp6YYrqT7YPk9VHxUMy/Zjse5gKkj0OVn39FWMu/zWbSkvZZMahR5/AgEFHcO6wo1i7Zg3bbiN69uzN3X/521bx0BCOo7D1UfAQtj4KHuKuh/j/XfHjyPsgFXpI/lyo7nvuxwsXAHxE4rv8+XUy5sQafzSks8VIKjSzFhXyVgNdgW7AZWZ2jKR2JC7e9wIM2MbMMiS9CIwzs7cD7RxgtJnNlrQB2M7MTNIw4DAzO0fSKqCNmZVI2gZYYWa7SboP6Aw8AzxvZt8EgwcVBxNyzewCSSuB9GBKVlXtG01itgXt2rXPWfDpki3uq22a+SQgx0kFtXk0ZE30aLdLCpw4juM4TsOhpkdDVsdB+/djTt7saM/Hr8BO7TIs+5J/hm2jVrxzyQB/NKTT8JHUCSgFvq6w6wbgbTPrARwLbFeLcCX240hXKTXMojGz84GrgXZAnqRf1MV7FTHvN7NcM8vdbffdkw3nOI7jOI7jOI7TYPDBBCclSNoduA+4134+3WUXoOz5NSPL5U8DTgn03YGetahqOnBq8Pp0YGqg72xmM8zsWmAliUGFNcBOVcR5E/h1oG0qyX+qdBzHcRzHcRzHqSU+mOAkw/bB4oYLgDeAicD1lZS7DbhZ0gf8dIbBX4HdJS0ksR7CAqCmOcy/Bc6S9CHwK+CiIH+spI8kzScx4DAPeBvoXrYAY4U4FwGDJH0E5AHda9dkx3Ecx3Ecx3HiTthPaahtijK+AKOzxZhZ02r2TQYmB6/fA/Yut/vq4P/1wBlmtl5SZxIDEl8GmhblYj0HPBe8/hI4uJL6Knt+3bcknnlbnoeD8v8Djq/Kv+M4juM4juM4jlM1PpjghMkOwNvBQooC/s/MikP25DiO4ziO4ziO49SADyY4oWFma4BIrkzqOI7jOI7jOI7jVI0PJjiO4ziO4ziO4ziNB0HElyOIBT6Y4Di1QMA2zcJbr/TnD8ioO1FfwMVxakOPdsk/eGVh/g9J6bun75y0B8dxHMeJEsl800z+W6oTV/xpDo6TYkpLS9kntw8nHX9MnXTnnTOK9m1bk5PVY4vqXb9+PQfs15/+OVnk9O7BDddfV+cYE1+fQK/MrmRmdGHsbbdskY9kYySrT7Yfk9VDcm0Iu/5ly5ZxxKGD6NOrO9m9M7n37nFb5GFLz4MyUnEsbqmHDRvWc+bxgzj1qP05+fD+3HfnnwB4+pH7OX5gFttvI1atWrW5/J/vGEv/nKzEuZfVgx23bcry5csZsG8/+mX3Jrt3Zp3Px7CPgyjoo+AhbH0UPIT9mex96H2QCn0UPMRdn79sGccccQj9+vSgf3ZP/nbv3QB8++23LP7sUyR9JmmSpF3rHNyJLUrFL56O09DJycm1aTNm16rsuDv/zJw5s1nzww88/9L4Wtfx7tR32HHHFpwz6kzy5s7/yb7anKdmxtq1a2nRogUlJSUcMvAAbv/zXfTrvw9Q88yE0tJSenbfm1f/M4m09HQG7NOXR/71JN261/6pmcnGSIWH6vqxPvTJtiHs+lesWMFXK1bQJzubNWvWsF//HJ557sU6vQew5edBKtpQk4eaZiaYGUXr1rLDjolz6eyTj+Dy625lm+bN2XmXlvzmjGOZ9v5sdtttt59pXx3/CveMu5P/THzzJ+fjwQcN4PY/j6P/PvvUynvYx0HY+ih4CFsfBQ9hfyZ7H3ofpEIfBQ9x0Bdv3FRtjK9WrOCrr1aQ1Sfx/eCg/fryxDPP8/hjj/Ds00+yvCBfkq4EdjWzK2plLER2bt/Nci97MGwbteLti/bLM7NIrjPnMxMcJ4Xk5+cz4T+vctaoc+qsHXDAgbRq1WqL65ZEixaJJ2qWlJRQUlJSp5vBZs2cSefOXejYqRPNmzfn5GGnMv6Vl+rkIdkYqfCQbD8mq0+2DWHX36ZNG/pkZwOw0047kZHRjeXLC+rkIZnzAFJzHCTjQRI77Jg4lzZuLGHjxhJAZGT2pm36L6vVPvP0k5wybPjPzseNJSV1utUo7OMgbH0UPIStj4KHsD+TvQ+9D1Khj4KHuOsB9mzThqw+P34/6JqRwfLlBbw2/mVa/eIXZcUeAU6oU2An1vhgguOkkMsv/R033XwbTZqEc2qVlpbSP7cPv0zbg0MOOZR+/frXWrt8eQHp6e02b6elpVNQULeLyGRjpMJD2ITdhlTW/+XSpcyd+wF963AcQfLnQSrakKyH0tJShh89gMNyu7DPgEH07FPzDwLr1q1j0usTOOGkIZtj9M/Jon3b1hx86GH061+3fkyGsM/FhvB5ErY+Ch4awudZ2H0Qtj4KHsLWR8FD3PUV+fLLpXw4dy65ffuz8uv/sc0225Tt+grYY4sDO7HDBxOqQVJhHcqOkXTZVvLxh60RN4i9VNJHkuYG6e6tVVdQ3/QktCMltS23/YCkus173oq89up4Wu/emuycnNA8NG3alBmzP+CzJcuYPXsWC+bXfXq04wAUFhYy/JQhjL3jLnbeufYLDkbhPEiFh6ZNm/Lka+/yn/cWMn/eHBYvWlij5tXxr7Dvfvtv/hW2adOmzMiby+Kl+cyeNdPPR8dxHCf2FBYW8qvhJ3Pz2D//7PuBJe7L9XvoGxE+mBABJNX0VI06DSYoQV3e20FmlhWkC+tSV10xs/2SkI8ENg8mmNk5ZlbzN/x64r3p0xg//mW6dunAmaefyuS33+KsM88IxUvLli058KCBTJo4odaatm3TyM9ftnm7oCCftLS0OtWbbIxUeAibsNuQivpLSkoYfsoQhg0/nRNOPKlO2lScB8m2IZXn4k47tyR33wOYPuWNGss++8xTnDxs+M/yW7ZsyUEDBzGxDudjsoR9LjaEz5Ow9VHw0BA+z8Lug7D1UfAQtj4KHuKuL6OkpIRfDR/KKcNO47gTEt8Pdm+9R+LWWkBSG+DrOgcOCSkeKcr4YEIdkXSspBmSPpD0hqTyU3l6S3ovWM303KC8JI2VND+YATAsyB8oaaqkl4GFQd6LkvIkLZA0Osi7Bdg+mDXweJB3SRBvvqTfBXkdJC2S9CgwH7hG0l3lfJ8r6c5atrGZpFmSBgbbN0u6KXh9bbBvvqT7FdwELGmypDslzZb0saS+kp4P+uLGcrELy7V/sqTnJH0i6fFysX5Wh6ShQC7weNAX2wf63EAzPOjf+ZJuLV+fpJskzZP0ftn7JenkoOw8Se/Upl9q4oabbubzpfksWryURx9/ioGDDuahR/+VitC1YuXKlaxevRqAoqIi3nrzDfbumlFrfW7fvixe/BlLlyyhuLiYZ59+isHHHFcnD8nGSIWHsAm7DcnWb2acf+7ZdM3oxkUXX1Ln+lNxHiTbhmQ9fPfNKtb8sBqA9euLmDH1bTp03rtazffff8+770zh2OOOB35+Pr75xiS61uF8TJawz8WG8HkStj4KHuL+eZaKGHHXR8FD2PooeIi7HhLfDy44/xy6du3GBRddvDn/qMHH8u0335RtjgDqthiDE2tq+kXc+TnvAvuYmUk6B/g9cGmwrxewD7Aj8IGkV4F9gSygN7AbMKvcxWs20MPMlgTbo8zsW0nbB+X+bWZXSrrAzLIAJOUAZwH9AQEzJE0BvgP2AkaY2fuSWgDzJF1uZiWB5rwq2vS2pNLg9SNmdqekkcBzkn4LHBnUB3Cvmf0x8PIYcAzwSrCv2MxyJV1E4oMkB/gW+FzSnWa2+ZMmoA+QCSwHpgH7B/37szrM7DlJFwCXmdnsYB/B/22BW4P6vgMmSjrBzF4M3ov3zewqSbcB5wI3AtcCR5hZgaSWlXVKMKAzGqBd+/ZVdF3qOPOM4UydMplVq1bRuUM611x7PSNHnV1r/VcrVnDu2SPZVFrKpk2bOGnoyRw9uPaPxGvWrBl3jruXYwcfQWlpKSNGjqJ7Zmad2pBsjFR4SLYfk9Un24aw658+bRpPPP4YPXr0pH9OFgDX3/gnjjzq6FrHSJZUHAfJsOrrr7jusvMpLd2E2SYOHXwiBx5yJE8+dB+P3j+Ob1b+j77ZvTjyyKP52/0PAPDyiy9wyGGHs+OOOwLB+ThqBKWlpWyyTQwZekqdzsewj4Ow9VHwELY+Ch7C/kz2PvQ+SIU+Ch7irgd4f/o0nnriX2T26MmA/omFGK+9/kYuuewKHvrn/Uj6DPgSOKVOgZ1Y44+GrAZJhWbWokJeT+AOoA3QHFhiZkdKGgM0MbNrg3KPAs8DBwEfmdmDQf5jwLPAD8B1ZjaoXOwxwInBZgcSF7vvl/cRXKj/olw9NwArgZeBt82sY7l4/wBeAz4GHjOzvpW0cSmQa2arKtn3BxIX3fua2QdB3hASAyg7AK2Ae8zsFkmTgavMbJqkg4H/Z2aHBZp3gAvNbG5ZW4JZD1eVK/M3YJqZ/auGOsoPJkwGLgPSgCFmdmaQfzaQaWaXSNoAbBcM/gwDDjOzcyTdB3QGngGer2Sg4yfU5dGQW4NUnKeK+jwpx6knano0ZE10T6/9GhKO4ziOEwdqejRkdRy0fz8+yJsdqy+aO7fvZv1//1DYNmrFG7/d1x8N2YC4h8Qv5z1J/NK/Xbl9Fa/4aroCXFv2Iri4PpTEhXtv4IMKsWvD2grbD5BYZ+AsYEvOlp7AaqB14HE74K/A0KD9/6jgcUPw/6Zyr8u2K5sFU75MKdCsFnXUlRL78Uq8tMyHmZ0PXA20A/Ik/aIKveM4juM4juM4jlMBH0yoO7sAZc9SGVFh3/GStgsuTAcCs4CpwDBJTSXtDhwIzKwi7ndmtk5SBonbJcookVT2zJWpwAmSdpC0I4mZDFMrM2pmM0hcLJ8GPFmXRko6icSsgAOBe4JbAcou6lcFt1EMrUvMWlJdHWuAnSrRzAQOkrSbpKbAcGBKdZVI6mxmM4IZHitJ9JPjOI7jOI7jOI5TC3zNhOrZQVJ+ue0/A2OAZyV9B7wFdCy3/0PgbRJrI9xgZsslvUBi3YR5JGYq/N7MvgoGDMozAThf0sfAIuD9cvvuBz6UNMfMTpf0MD8OSDxgZh9I6lBFG54Bsszsu2raWX7NhA+BS4BbgEPMbJmke4FxZjYiuHViPonnyM6qJuYWYWarq6njYeA+SUUk+rRMs0LSlST6XsCrZlbT4i9jJe0VlH+TxPvjOI7jOI7jOE4jwO8ATh5fM6GBI2k8cKeZvRm2lzjjayY4TsPB10xwHMdxnJ/SGNdM2OeKeKyZMOkCXzPBqWcktZT0KVDkAwmO4ziO4ziO4zhOKvHbHBooZrYaqP7B6I7jOI7jOI7jOI6zBfhgguPEAL9FwXFSR7K3KSz/rigpfdtdt09K7ziO4zippmmTLf+uGcdvqZJ/v04FfpuD46SQia9PoFdmVzIzujD2tlvqpD3vnFG0b9uanKweW1x/sjGS8Z+KGMuWLeOIQwfRp1d3sntncu/d4+q1/lToo+Ah7vpkY0ThXLriovPo2/2XHHngj7c4fjz/Q4YeNZDcrJ4MOeFYfvghsXbDrJkz6Z+TRf+cLPpl9+alF18Awn8fwtYnGyMVx0Hc+8D10fAQ97/NDUEfBQ9x1/969Cg6pO9B3z49f5L/t7/cw8IF85G0QNJtdQ7sxBsz8+TJUw0pOzvHikqs2lS4fqN17NTJFi763L5fu8F69uxlc+YtqFFXlia9NcWmz8iz7pmZtdakMkay/lMR44v/LrfpM/KsqMTs629/sC577VUnfbL1R6EPGrs+FTG29rn0+dfrakxPvjTRXnpjmu2V0X1zXs+sbHvixdetqMTsvvv/aVf+4WorKjH75vu1tqaoZPM5sPvuu9vqwvWxfh8bwnHQEPqgseuj4iHuf5vjro+ChzjoCzdsqjZNeGOyvfv+bOvWPXNz3quvv2kDBx1ivbP6mJkBtA77O3tt087tM+zwv7wfiwTMDru/qko+M8FxUsSsmTPp3LkLHTt1onnz5pw87FTGv1LTEyp/ZMABB9KqVaukPCQTI1n/qYjRpk0b+mRnA7DTTjuRkdGN5csL6q3+KPRBY9enIkbY5xJAv30H0LLlT/VLPl9Mv30HAHDwoYfx4gv/BmCHHXagWbPEXYcb1q9HErNnxft9bAjHQUPog8auj4qHuP9tjrs+Ch7irofEcbzrrj89jh+4/z4uvfwKmjRJXFKa2dd1ChoyTRSPFGV8MMFxUsTy5QWkp7fbvJ2Wlk5BQe0vhMMmFf5T2QdfLl3K3Lkf0Ldf/3qrPwp90Nj1qYoRRfbq2o1J/3kFgOefe5b8Zcs275s5YwbZvTPJ7dOTu/9yH//73/9i/T42hOOgIfRBY9dHxUMyNIQ+CFsfBQ9x11fF4s8+Zdq0qSz65GMkTZHUN+mgTqzwwYSYI6lU0lxJ8yW9IqllkN9W0nPV6DpIml/LOn4nab2kXVJkOxIEj8/8v7B9OD+nsLCQ4acMYewdd7Hzzsktluc4UeHWcffx+EP/YL9+ORQWrqF58+ab9/Xr35858xbw7nuzGHvrzZSUFIfo1HEcx3FqZuPGjXz37bfs3TUD4HLgGfmqho0KH0yIP0VmlmVmPYBvgd8AmNlyMxuaojqGA7OAk1IULyq0BFI2mNC2bRr5+T/+0lhQkE9aWlqqwm91UuE/FTFKSkoYfsoQhg0/nRNOrNshl2z9UeiDxq5PVYwo0nmvrjzy7CtMn5nHKcOG07FT55+VyejWjRYtWrC+aH2s38eGcBw0hD5o7PqoeEiGhtAHYeuj4CHu+qpIS0vnuBNOQhJmNhPYBOyWdGAnNvhgQsPiPSANfjrzQFKmpJnBDIYPJe1VXiSpk6QPKpuaJKkz0AK4msSgQln+z2JK2lHSq5LmBTMlhgVlc4KpT3mSXpfUJsi/UNLCQP9UkHdQEHNu4GknSQMD/UuSvpB0i6TTg/o/CjwiaXdJ/5Y0K0j7B/ljJD0oaXKgvzBoxi1A56Cuscl2fm7fvixe/BlLlyyhuLiYZ59+isHHHJds2HojFf6TjWFmnH/u2XTN6MZFF19S1yYkXX8U+qCx61MVI4qsWpm4lXTTpk3c8qcbOXf0+QAsXbKEjRs3AvDll1+yaNEnHHHU0bF+HxvCcdAQ+qCx66PiIRkaQh+ErY+Ch7jrq+KY447nnSlvAyBpb6A5sCrpwPWEpFikKNMsbANOapDUFDgE+Gclu88HxpnZ45KaA02BPQJdV+ApYKSZzatEe2qwfyrQVdIeZva/KmIeDSw3s8FB7F0kbQPcAxxvZiuDAYabgFHAlUBHM9tQdnsGcBnwGzObJqkFsD7I7w10IzH74gvgATPrJ+ki4LfA74BxwJ1m9q6k9sDrgQYgAxgE7AQskvS3oP4eZpZVRZ+OBkYDtGvfvrIiP6FZs2bcOe5ejh18BKWlpYwYOYrumZk16so484zhTJ0ymVWrVtG5QzrXXHs9I0edXWt9sjGS9Z+KGNOnTeOJxx+jR4+e9M/JAuD6G//EkUcdXS/1R6EPGrs+FTHCPpcALjpvBDOmvcN3337D/r27cNHvr2bt2rX868G/06ypOP6Ekzhz5FkATJ/2LrePvYVtmm1DkyZNGHfPX9lzzz1j/T42hOOgIfRBY9dHxUPc/zbHXR8FD3HXA4z81WlMfWcy36xaxd6d2nHVNWM4c+Qofj36bD5euAAS1wsjyh7r4DQO5O93vJFUCnxEYkbCx8AgMyuV1AEYb2Y9JJ0GXAU8CjxvZp8F+2cA3wEnmdnCKuLPB04MNH8GvjCze6uIuTcwEXg6qHuqpB7AdBIDAJAYdFhhZodLmgAUAi8CL5pZoaQrgROBx4O4+ZIGAleZ2WGBp3eA/xcMOBwMXGhmJ0j6Glhezv7uQFcSAxQlZnZToP8YOIzEYNr44BaRasnJybVpM2bXVMxxnEbA8u+KktK33XX7FDlxHMdxnNRQumnLrwkP2Lcvc/JmR/sn9Ars8stutv//eyRsG7XiP7/un2dmuWH7qAy/zSH+FAW/rP8SEMGaCeUxsyeA44Ai4LXgAhzge+C/wIDKAkvqCewFTJK0lMQsheFVxTSzT4FsEoMbN0q6NvC0IFjXIcvMeprZ4UEVg4G/BJpZkpqZ2S3AOcD2wDRJGUHZDeWsbSq3vYkfZ9g0AfYpV1eamRVWoi8tp3Ecx3Ecx3Ecp5EhxSNFGR9MaCCY2TrgQuBSST+5UJbUicSMgruBl4Bewa5iErMAzgxmGlRkODDGzDoEqS3QVtIvK4spqS2wzsz+BYwlMUiwCNhd0r6Bl22UWG+hCdDOzN4GrgB2AVpI6mxmH5nZrSQWfcyoaKoaJpK45aGs3Vk1lF9D4rYHx3Ecx3Ecx3Ecpw74YEIDwsw+AD6k3EKJAacA8yXNBXqQuDWhTLMWOAa4WFLFlVhOBV6okPdCkF9ZzJ7AzCDvOuBGMysGhgK3SpoHzAX2I3G7w78kfQR8ANxtZquB3ymxeOOHQAnwnzp0wYVArhILOi4ksa5DlZjZNyRmP8xPxQKMjuM4juM4juM4jQVfM8FxaoGvmeA4Thm+ZoLjOI7T0Ghsaya0/GU3G/CHR2suGAFePb+fr5ngOI7jOI7jOI7jOE7DwAcTHMdxHMdxHMdxHMepE76iveM4juPUAb9NwXEcx2loNG2y5XcpxOr+Biel+MwEx0kR550zivZtW5OT1WOLY0x8fQK9MruSmdGFsbfdEjt9FDyErY+Ch7jro+AhbP369esZsG8/+mX3Jrt3Jjdcf129ewhbHwUPYev974ofR6nQR8FD2PooeIi7PlUxokQTxSNFGjPz5MlTDSk7O8eKSqzaNOmtKTZ9Rp51z8yssWxlqXD9RuvYqZMtXPS5fb92g/Xs2cvmzFsQG30UPIStj4KHuOuj4CFsfVGJ2briTbbyuzVWVGL2w7piy+3bzyZPfS82bfDjIDV90Nj/rvhx5H3gfRANfU0xsrNzLOzv6nVNu7TPsGP/PjMWCZgddn9VlXxmguOkiAEHHEirVq22WD9r5kw6d+5Cx06daN68OScPO5Xxr7wUG30UPIStj4KHuOuj4CFsPYAkWrRoAUBJSQkbS0qQav/zRNht8OMgNX3Q2P+u+HHkfZAKfRQ8xF2fqhhOw8MHExwnIixfXkB6ervN22lp6RQUFMRGHwUPYeuj4CHu+ih4CFtfRmlpKf1zsmjftjUHH3oY/fr3rzcPYeuj4CFsfSoIuw1h66PgIWx9FDyErY+Ch7jrUxUjUkgoJinK+GBCA0RSqaS5kuZLekVSy3qqd6SktknG6CppcuD/Y0n3B/lZko6uhb5W5RzHcaJO06ZNmZE3l8VL85k9ayYL5s8P25LjOI7jOM5mfDChYVJkZllm1gP4FvhNPdU7EqjTYIKkphWy7gbuDPx3A+4J8rOA2gwS1LZc5GjbNo38/GWbtwsK8klLS4uNPgoewtZHwUPc9VHwELa+Ii1btuSggYOYOHFCvXkIWx8FD2HrU0HYbQhbHwUPYeuj4CFsfRQ8xF2fqhhOw8MHExo+7wFpAJI6S5ogKU/SVEkZQf4ekl6QNC9I+wX5Z0iaGcwS+HvZhb+kQkl3Slog6U1Ju0saCuQCjwflt5d0iKQPJH0k6UFJ2wb6pZJulTQHOLmC3zZAftmGmX0kqTnwR2BYEHuYpH6S3gviTw9mNFRWboyky8riBbM1OkjaUdKrQXvnSxq2dbq/9uT27cvixZ+xdMkSiouLefbppxh8zHGx0UfBQ9j6KHiIuz4KHsLWA6xcuZLVq1cDUFRUxJtvTKJr14zYtMGPg9T0QbKE3Yaw9VHwELY+Ch7C1kfBQ9z1qYrhNDyahW3A2XoEF/+HAP8Msu4HzjezzyT1B/4KHExiNsAUMzsx0LSQ1A0YBuxvZiWS/gqcDjwK7EhiVdGLJV0LXGdmF0i6ALjMzGZL2g54GDjEzD6V9Cjwa+CuwMs3ZpZdie07gbckTQcmAg+Z2eqgnlwzuyBo287AAWa2UdKhwJ/MbEgl5cZU0T1HAsvNbHBQbpc6dW4lnHnGcKZOmcyqVavo3CGda669npGjzq61vlmzZtw57l6OHXwEpaWljBg5iu6ZmbHRR8FD2PooeIi7PgoewtYDfLViBeeOGkFpaSmbbBNDhp7C0YOPiU0b/DhITR809r8rfhx5H6RCHwUPcdenKkbUiPhyBLFAZha2ByfFSCoFPiIxI+FjYBCwPbASWFSu6LZm1k3SSiDdzDaUi3EB8Afg6yBre+BJMxsTxN82uJDvBDxvZlmSJvPjYEJv4B4zOzCIdwjwGzM7SdJS4CAz+7IK/21JXOwfD3QFegPD+ekgQTsSgyB7AQZsY2YZkkby88GEQjO7PdieDxwDNCcxWPE0MN7MplbiYzQwGqBd+/Y5n35eqV3HcRzHcRzHabTs3z+XvLzZsbo0b9mhuw28+tGwbdSKl87tm2dmuWH7qAy/zaFhUmRmWcAvAZFYM6EJsDpYi6AsdasmhoBHypXtamZjqii7JSNSa6vaYWbLzexBMzse2Aj0qKTYDcDbwboQxwLbVRFuIz89zrcL6vgUyCYx6HJjMKOhoo/7zSzXzHJ332332rTJcRzHcRzHcRynUeCDCQ0YM1sHXAhcCqwDlkg6GUAJegdF3yRxCwKSmgZT/t8EhkpqHeS3kvTLoHwTYGjw+jTg3eD1GmCn4PUioIOkLsH2r4ApNXmWdKSkbYLXewK/AAoqxAbYJciHxMKPZVQst5TEoAGSsoGOweu2wDoz+xcwtqyM4ziO4ziO4zgNGwFNpFikKOODCQ0cM/sA+JDEbQKnA2dLmgcsIHEbAcBFwCBJHwF5QHczWwhcDUyU9CEwicTiiJCYVdAvuGXgYBKLHkJijYT7JM0lcY6eBTwbxN0E3FcLy4cD8wOPrwOXm9lXwNtA97KFFYHbgJslfcBP1/6oWO7fQCtJC4ALgE+Dcj2BmYHX64Aba+HNcRzHcRzHcRzHwddMcLYASYVm1iJsH/VJTk6uTZsxO2wbjuM4juM4jhMp4rhmwq4dutugax4L20ateOGc3MiumeBPc3Acx3Ecx3Ecx3EaFRG/gyAW+G0OTp1pbLMSHMdxHMdxHMdxnJ/iMxMcx3EcJ0Z8snxN0jEy2u5UcyHHcRzHcZxq8JkJjpNCJr4+gV6ZXcnM6MLY225pdPooeAhbHwUPcddHwUPY+mRjfLU8n3OHDeakQ/oy5NB+PPHgXwFYtPAjzjzhEHKzejLkhGP54YcfAHjyicfpn5O1Oe3QvAn3/fUvse6DhqCPgoe466PgIWx9FDyErY+Ch2T1550zivZtW5OTVdkT07d+/cuWLeOIQwfRp1d3sntncu/d47bIh9PAMDNPnjzVkLKzc6yoxKpNhes3WsdOnWzhos/t+7UbrGfPXjZn3oIadQ1FHwUPYeuj4CHu+ih4CFtfU4wPvvyhxjRx5qf2xPh37IMvf7B3FxRY+46d7blJM617rz72j6dfs6ISs/vu/6dd+Yerf1b3rDkfWoeOHSPdB41BHwUPcddHwUPY+ih4CFsfBQ+paMOkt6bY9Bl51j0zs066VNX/xX+X2/QZeVZUYvb1tz9Yl7322hwjOzvHwv6uXtfU8pfdbMiDebFIwOyw+6uq5DMTHCdFzJo5k86du9CxUyeaN2/OycNOZfwrLzUafRQ8hK2Pgoe466PgIWx9KmLsvseedOuZBcCOLXaiY5eurPzfcv675HNy+u8PwMGHHsaLL/z7Z9pnnn6S/QccEPs+iLs+Ch7iro+Ch7D1UfAQtj4KHlLRhgEHHEirVq3qpEll/W3atKFPdjYAO+20ExkZ3Vi+vGCL/DgNBx9McJwUsXx5Aenp7TZvp6WlU1BQ+w/ZuOuj4CFsfRQ8xF0fBQ9h61MVY3OsZV+yaMGH9MjKpdNeGUye+CoAzz/3LPnLlv2s/HPPPk3Pnr1j3wdx10fBQ9z1UfAQtj4KHsLWR8FDKj/Tt4RU1//l0qXMnfsBffv1T4U9J8b4YILTIJB0giSTlBG2F8dxnKiwbm0hl53/Ky679hZa7LQzY8b+lWce+wf79cuhsHANzZs3/0n5mTNmsMP2O9CuffuQHDuO4zhRprCwkOGnDGHsHXex8847h21ni5Hik6KMDyY4DYXhwLvB/6HQtm0a+fk//spXUJBPWlpao9FHwUPY+ih4iLs+Ch7C1qcqRklJCZedfwZHnXAKhxx1HAAdu+zN3/71EtNn5nHKsOF07NT5J5pnn3mKU04d3iD6IO76KHiIuz4KHsLWR8FD2PooeEhFG5IhVfWXlJQw/JQhDBt+OieceFIqLToxxQcTnNgjqQUwADgbODXIayLpr5I+kTRJ0muShgb7ciRNkZQn6XVJbVLhI7dvXxYv/oylS5ZQXFzMs08/xeBjjms0+ih4CFsfBQ9x10fBQ9j6VMQwM67//W/o2KUrvzr3gs35365aCcCmTZu45U83cu7o8zfv27RpE/9+7hlOPuXUBtEHcddHwUPc9VHwELY+Ch7C1kfBQyrakAypqN/MOP/cs+ma0Y2LLr5kKzl14kazsA04Tgo4HphgZp9K+kZSDtAR6AB0B1oDHwMPStoGuAc43sxWShoG3ASMStZEs2bNuHPcvRw7+AhKS0sZMXIU3TMzG40+Ch7C1kfBQ9z1UfAQtj4VMebOfp9Xn3+KvTIyGXZUYsHFCy6/lmVLP+fpR/9B82ZNOP6Ekzhz5FmbNe9OfYf09HZ07NQJIPZ9EHd9FDzEXR8FD2Hro+AhbH0UPKSiDWeeMZypUyazatUqOndI55prr2fkqLPrrf7p06bxxOOP0aNHT/rnZAFw/Y1/4sijjq5TnCjRJOr3EMQAmVnYHhwnKSSNB8aZ2SRJFwLtSQyUzTOzh4IyzwNPAJ8A04EvAnlTYIWZHV5J3NHAaIB27dvnfPr5l1u9LY7jODXxyfI1ScfIaLtTCpw4juM4DuzfP5e8vNmxujJv1bG7HTbm8bBt1IpnRmbnmVlu2D4qw2cmOLFGUivgYKCnJCMxOGDAC1VJgAVmtm9Nsc3sfuB+gJycXB91cxzHcRzHcRzHCfA1E5y4MxR4zMx+aWYdzKwdsAT4FhgSrJ2wBzAwKL8I2F3SvgCStpFUt3lejuM4juM4juM4jRyfmeDEneHArRXy/g10A/KBhcAyYA7wvZkVBwsx3i1pFxLnwF3Agnpz7DiO4ziO4zhOqMTqvoyI4oMJTqwxs0GV5N0Niac8mFmhpF8AM4GPgv1zgQPr06fjOI7jOI7jOE5DwgcTnIbMeEktgebADWb2Vch+HMdxHMdxHMdxGgQ+mOA0WMxsYNgeHMdxHMdxHMeJHvJHQyaNL8DoOI7jOI7jOI7jOE6d8MEEx0kR550zivZtW5OT1WOLY0x8fQK9MruSmdGFsbfdEjt9FDyErY+Ch2T1yR7Lfi5s3eMoo+1ONaY7r72Iw3M7c/rR+1a6f9MmqzGNPucs2rVtTXbvHj/bd9edd7D9NmLVqlWh9EF96ZM9lhtCH8Rdv2zZMo44dBB9enUnu3cm9949rt49hK2Pgoew9VHwEHd9qmI4DQwz8+TJUw0pOzvHikqs2jTprSk2fUaedc/MrLFsZalw/Ubr2KmTLVz0uX2/doP17NnL5sxbEBt9FDyErY+Ch1S0IdljubGfC1E4jmp6D9Zu2FRjev2Nyfbu+7OtW/fMn+QvWvylHXrY4daufXtbtmJlZPsg7HOhIfRB3PVFJWZf/He5TZ+RZ0UlZl9/+4N12WuvWLXBjyPvgyjoa4qRnZ1jYX9Xr2vatUM3O/WRD2KRgNlh91dVyWcmOE6KGHDAgbRq1WqL9bNmzqRz5y507NSJ5s2bc/KwUxn/ykux0UfBQ9j6KHhIRRuSPZYb+7kQheMo2fdgc4xdfx7jissv4aabb6v2XtMo9EHY50JD6IO46wHatGlDn+xsAHbaaScyMrqxfHlBbNrgx5H3QRT0qYoRJQQ0UTxSlPHBBMeJCMuXF5Ce3m7zdlpaOgUFtf/CE7Y+Ch7C1kfBQyraEDZh90HY+lTF2BqMf/kl2rRtS6/evastF4U+CLsPG0IfxF1fkS+XLmXu3A/o269/vXkIWx8FD2Hro+Ah7vpUxXAaHg1iMEHSVZIWSPpQ0lxJtf8rUbv4rwWPGKyuzFJJu1WR/1HgbaKkPauJkSXp6HLbx0m6cgs9t5T0f9Xs31PSU5I+l5QXtHFvSQMljd+SOrcUSX/YQt0DkrpXs3+kpLa1Le84juNUzbp16xh7281cc90fw7biOHWmsLCQ4acMYewdd7HzzjuHbcdxHKdBEPvBBEn7AscA2WbWCzgUWJbKOszsaDNbnUSIQYG32UB1F85ZwObBBDN72cy2dHWTlkClgwlKzE19AZhsZp3NLAf4f8AeW1hX+dhb8rjROg8mSGpqZueY2cJqio0ENg8m1KJ8qLRtm0Z+/o+HbkFBPmlpabHRR8FD2PooeEhFG8Im7D4IW5+qGKnmiy8+Z+nSJezTN4uuXTpQkJ/Pvv2y+eqrr35WNgp9EHYfNoQ+iLu+jJKSEoafMoRhw0/nhBNPqpM27Db4ceR9EAV9qmJECgnFJEWZ2A8mAG2AVWa2AcDMVpnZctg8K+C2YGbATEldgvzdJf1b0qwg7R/kt5D0ULmZBEPKxdkteP1i8Ev+Akmj6+j1HaCLpH6S3pP0gaTpkrpKag78ERgWzK4YFvyyfm8NnsdIelDSZElfSLowqOsWoHMQa2wFH4OAEjO7ryzDzOaZ2dRgs4Wk5yR9IunxYPABSdcGdc+XdH+5/MmS7pI0G7hI0rGSZgTte0PSHlX1r6RbgO0Dn48H5c4I3q+5kv4uqWmQXyjpDknzgH2DenMlNZX0cODrI0kXSxoK5AKPB3G2LysfxDpS0hxJ8yS9Wcf3cauQ27cvixd/xtIlSyguLubZp59i8DHHxUYfBQ9h66PgIRVtCJuw+yBsfapipJoePXryZf7/+PjTJSxavJS09HTemzmHPff8+YS7KPRB2H3YEPog7npILDR+/rln0zWjGxddfEmdtKnwELY+Ch7C1kfBQ9z1qYrhNDy25FfkqDERuFbSp8AbwNNmNqXc/u/NrKekM4G7SMxiGAfcaWbvSmoPvA50A64pKw8gaddK6htlZt9K2h6YJenfZvZNLb0eA3wEfAIcYGYbJR0K/MnMhki6Fsg1swuC+keW01blGSCDxADBTsAiSX8DrgR6mFlWJT56AHnV+OwDZALLgWnA/sC7wL1m9sfA22NBe14JNM3NrOxCfVdgHzMzSecAvwcupZL+NbN/S7qgzKekbsAwYH8zK5H0V+B04FFgR2CGmV0alC3zmwWkmVmPIL+lma2WdAFwmZnNLl9e0u7AP4ADzWyJpORWKQs484zhTJ0ymVWrVtG5QzrXXHs9I0edXWt9s2bNuHPcvRw7+AhKS0sZMXIU3TMzY6OPgoew9VHwkIo2JHssN/ZzIQrHUbLvAcCIX53G1Hcm882qVezVqR1XXzOGEWfVLkYU+iDsc6Eh9EHc9QDTp03jiccfo0ePnvTPyQLg+hv/xJFHHV29MCJt8OPI+yAK+lTFcBoeMrOwPSRN8Mv1ASQuqM8DrjSzhyUtBQ42sy8kbQN8ZWa/kPQ1iQvlMnYHugJTgFPN7LMK8ZeSuMhfJWkMcGKwqwNwhJm9X75MJdo1QCnwIXAhiYv+u4G9AAO2MbOMYPCg4mBCrpldUI3ny0jMMrgp0HwMHEZioGh82QV2BU8XAh3N7OJK9g0ErjKzw4LtvwHTzOxfwUyN3wM7AK2Ae8zsFkmTgevKBnEk9QTuIDFrpDmwxMyOlJRXRf8WmlmL4PUFJG57+DrYvT3wpJmNkbQR2NbMSoOyk4P2f07iFpLXgFeBiWa2qWx/ucGEsvJtAh+nV2x/BV+jgdEA7dq3z/n08y+rK+44jhMbNm1K7m9/k6gvL+04juPUG/v3zyUvb3as/jD8olOmHX3DE2HbqBX/OiMrr+xH26jREGYmEFxcTgYmS/oIGAE8XLa7fNHg/yYkfjlfXz6OargnJbjQPhTY18zWBRen29XC4qDygwyS7gLeNrMTJXUIvNdEdZ43lMsqpeb3dQEwtJr9P4snaTvgryQGN5YFgyrl27623Ot7gD+b2ctBn42pwU95BDxiZv+vkn3rywYSymNm30nqDRwBnA+cAoyqQ52VYmb3A/cD5OTkxn/UzXEcx3Ecx3GcBoeki4FzSFzvfgScReIH1KeAX5CYlf4rMyuWtC2JWd85wDfAMDNbuiX1xn7NBCXWG9irXFYWUP4n5GHl/n8veD0R+G25GFnBy0nAb8rlV7zNYRfgu2AgIQPYZwtt7wKUPUtlZLn8NSRmLVRGVZ6rorpYbwHbqtyaD5J6STqgmnhlAwerJLWg+sGI8u0bUS6/qv4tCWaOALwJDJXUOijTStIvq6kLJdazaGJm/wauBrKDXVX1wfvAgZI6ltVRXXzHcRzHcRzHcZwoIimNxOz33GBWelPgVOBWErfJdwG+A8ru0zubxDVtF+DOoNwWEfvBBKAF8IikhZI+BLrz01/Cdw3yLwLKpvVfCOQGiwAuJPFrNsCNQfn5wSJ/gyrUNYHEr/Qfk1jg8P0t9HwbcLOkD/jpLIK3ge7BgoHDKmiq8lwpwToO04K2jK2wz0jcqnGoEo+GXADcDPx8Se4fNatJrDMwn8R6DbOqqX4M8GxwW0P52z6q6t/7gQ8lPR48beFqYGLwvk0iMapWHWkkZqXMBf5F4skUkJidcl/ZAozl2rKSxO0Lzwc+nq4hvuM4juM4juM4TlRpRmJR+2YkbklfARwMPBfsfwQ4IXh9fLBNsP8Q1TRFvwoaxJoJVVHVOgaOU1dycnJt2ozZYdtwHMdJCb5mguM4jpMq4rpmwuAbnwzbRq147PTeNa6ZIOki4CagiMSM9ouA94PZB0hqB/zHzHpImg8caWb5wb7Pgf5bcs3cEGYmOI7jOI7jOI7jOE5DZDdJs8ul0eV3BreOHw90BNqSeALekfVhrEEswFgVZtYhbA+O4ziO4ziO4ziOs4WsqmFmwqEknp63EkDS88D+QEtJzcxsI5DOj2vaFQDtgPzgtohdSCzEWGd8ZoLjOI7jOI7jOI7TaBDQRPFIteC/wD6SdgjWPjgEWEhiPb6yRfNHAC8Fr1/mx0XyhwJv2RaufdCgZyY4juM4jvNzkl3zINn1lrZwnSfHcRzHcSpgZjMkPQfMATYCH5BY4P5V4ClJNwZ5/wwk/wQek7QY+JbEkx+2CJ+Z4DgpZOLrE+iV2ZXMjC6Mve2WRqePgoew9VHwEHd9FDyErY+Ch2T1f7lnHLlZPcnp3YN7776rzvpUeIi7PgoektWfd84o2rdtTU5WjzprU1F/KmLEXR8FD2Hro+Ah7vr169czYN9+9MvuTXbvTG64/ro6x3C2HmZ2nZllmFkPM/uVmW0wsy/MrJ+ZdTGzk81sQ1B2fbDdJdj/RTIVe/LkqYaUnZ1jRSVWbSpcv9E6dupkCxd9bt+v3WA9e/ayOfMW1KhrKPooeAhbHwUPcddHwUPY+ih4qEm/rnhTtWnWnA+te/dMW7W60H5YV2yDDj7EPlr46eb9UWhD1PVR8JCKNkx6a4pNn5Fn3TMz66TzPvQ+8D6Ijr6oJPG5v/K7NVZUYvbDumLL7dvPJk99z4pKzLKzcyzs7+p1Tb/o2N1GPDEvFgmYHXZ/VZV8ZoLjpIhZM2fSuXMXOnbqRPPmzTl52KmMf+WlmoUNRB8FD2Hro+Ah7vooeAhbHwUPyeoXffIxuf36scMOO9CsWTMGHHAgL734fK31UWhD2PooeEhFGwYccCCtWrWqkyaV9YfdB2Hro+AhbH0UPMRdD4nb01q0aAFASUkJG0tKYn/LmqRYpCjjgwmOkyKWLy8gPb3d5u20tHQKCgqqUTQsfRQ8hK2Pgoe466PgIWx9FDwkq++e2YPp777LN998w7p163h9wn/Iz19Wa30qPMRdHwUPqWhDMngfeh+kQh8FD3HXl1FaWkr/nCzat23NwYceRr/+/escw2lY+GCCU69IKqwk73xJZwavR0pqW//OHMdxnFSR0a0bl1z+e449+giOP+YoevXuTdOmTcO25TiO4yRB06ZNmZE3l8VL85k9ayYL5s8P25ITMj6Y4ISOmd1nZo8GmyOBOg0mBM9HDZ22bdN+8stbQUE+aWlpjUYfBQ9h66PgIe76KHgIWx8FD6low8izzmb6jNlMemsKLVvuSpe99q6TPuw2hK2PgodUtCEZvA+9D1Khj4KHuOsr0rJlSw4aOIiJEydscYwooJikKOODCU7oSBoj6TJJQ4Fc4HFJcyVtLylH0hRJeZJel9Qm0EyWdJek2cBFko6VNEPSB5LekLRHUK6FpIckfSTpQ0lDJI2SdFe5+s+VdGey7cjt25fFiz9j6ZIlFBcX8+zTTzH4mOMajT4KHsLWR8FD3PVR8BC2PgoeUtGGr7/+GoBl//0vL7/4AsNOPa1O+rDbELY+Ch5S0YZk8D70PkiFPgoe4q4HWLlyJatXrwagqKiIN9+YRNeuGXWK4TQ8IvGLruMAmNlzki4ALjOz2ZK2Ae4BjjezlZKGATcBowJJczPLBZC0K7CPmZmkc4DfA5cC1wDfm1nPcuVKgKskXW5mJcBZwHkV/UgaDYwGaNe+fY3+mzVrxp3j7uXYwUdQWlrKiJGj6J6ZWev2x10fBQ9h66PgIe76KHgIWx8FD6low2nDhvLtN9+wzTbbcOfd99KyZcs66cNuQ9j6KHhIRRvOPGM4U6dMZtWqVXTukM41117PyFFn11v9YfdB2PooeAhbHwUPcdcDfLViBeeOGkFpaSmbbBNDhp7C0YOPqVMMp+EhMwvbg9OIkFRoZi0q5I0BCs3sdkmT+XEwoQcwHSh79mlTYIWZHR6Uu87MpgQxegJ3AG2A5sASMztSUh5wqpl9VqHOfwCvAR8Dj5lZ3+p85+Tk2rQZs5NpuuM4ToMh2e8OUV+d2nEcx6k9+/fPJS9vdqw+2HfvnGnH/+npsG3Uin+e2jOv7AfUqOEzE5woI2CBme1bxf615V7fA/zZzF6WNBAYU0PsB4A/AJ8ADyVn03Ecx3Ecx3Ecp3HhayY4UWMNsFPwehGwu6R9ASRtI6mqOVm7AGXPuBlRLn8S8JuyjeA2B8xsBtAOOA14MmXuHcdxHMdxHMdxGgE+mODUNztIyi+XLqmw/2HgPklzSdzWMBS4VdI8YC6wXxVxxwDPBrc1rCqXfyOwq6T5QYxB5fY9A0wzs++SbJPjOI7jOI7jOE6jwm9zcOoVM6t2AMvM/g38u1zWXODASsoNrLD9EvBSJeUK+elMhfIMAJJ+ioPjOI7jOI7jOPHCl+9JHp+Z4DQ6JLWU9ClQZGZvhu3HcRzHcRzHcRwnbvjMBKfRYWargb3D9uE4juM4juM4jhNXfDDBcRzHcZw6keyjHf3Rko7jOE7Y+N+S5PHbHBwnhUx8fQK9MruSmdGFsbfd0uj0UfAQtj4KHuKuj4KHsPVR8BC2/rxzR/HLtD3Izeq5Oe/5554lp3cPdmjehLzZs7e6h7D1UfAQd30UPIStj4KHsPVR8BB3fapiOA0MM/PkyVMNKTs7x4pKrNpUuH6jdezUyRYu+ty+X7vBevbsZXPmLahR11D0UfAQtj4KHuKuj4KHsPVR8LC19euKN9WYJr452abNmG3du2duzpszb4HN/ehjO+DAg+zd92bFug/i4CHu+ih4CFsfBQ9h66PgIe76mmJkZ+dY2N/V65p269Tdzn1mfiwSMDvs/qoq+cwEx0kRs2bOpHPnLnTs1InmzZtz8rBTGf/Kzx4w0WD1UfAQtj4KHuKuj4KHsPVR8BC2HmDAAQfSatdWP8nL6NaNvbt2jUUb/DgIXx8FD2Hro+AhbH0UPMRdn6oYTsPDBxMcJ0UsX15Aenq7zdtpaekUFBQ0Gn0UPIStj4KHuOuj4CFsfRQ8hK1PBWG3wY+D8PVR8BC2PgoewtZHwUPc9amKETWkeKQo44MJTqhI2kPSE5K+kJQn6T1JJ6Yg7kBJ41Ph0XEcx3Ecx3Ecx/kpPpjghIYSS6i+CLxjZp3MLAc4FUgPwUvSTzZp2zaN/Pxlm7cLCvJJS0trNPooeAhbHwUPcddHwUPY+ih4CFufCsJugx8H4euj4CFsfRQ8hK2Pgoe461MVw2l4+GCCEyYHA8Vmdl9Zhpl9aWb3SGoqaaykWZI+lHQebJ5xMFnSc5I+kfR4MCiBpCODvDnASWUxJe0o6UFJMyV9IOn4IH+kpJclvQW8mWxjcvv2ZfHiz1i6ZAnFxcU8+/RTDD7muEajj4KHsPVR8BB3fRQ8hK2Pgoew9akg7Db4cRC+PgoewtZHwUPY+ih4iLs+VTGihBBNFI8UZZL+NdZxkiATmFPFvrOB782sr6RtgWmSJgb7+gTa5cA0YH9Js4F/kBigWAw8XS7WVcBbZjZKUktgpqQ3gn3ZQC8z+zbZxjRr1ow7x93LsYOPoLS0lBEjR9E9M7PR6KPgIWx9FDzEXR8FD2Hro+AhbD3AiDNO4513JvPNqlV06diOq68dw667tuLSiy9k1cqVnHT8YHr1zuKV116PZBv8OAhfHwUPYeuj4CFsfRQ8xF2fqhhOw0NmVn0BaW/gb8AeZtZDUi/gODO7sT4MOg0XSRcCHc3s4mD7L8AAoBj4EugFrAuK7wKcF+y7yswOCzR/IzGgMB+428wODPKPA0ab2THBQMN2wMYgVivgCKA/cJCZnVWFv9HAaIB27dvnfPr5lylsveM4TuOlpu8eNaGI/1LjOI7TmNi/fy55ebNj9cHcunMPG3LbM2HbqBX3Dc3MM7PcsH1URm1uc/gH8P+AEgAz+5DEfe2OkywLSMwMAMDMfgMcAuwOCPitmWUFqaOZlc1M2FAuRik1z7ARMKRcrPZm9nGwb21VIjO738xyzSx39912r2PTHMdxHMdxHMeJJBF4SkNjeZrDDmY2s0LexkpLOk7deAvYTtKvy+XtEPz/OvBrSdtAYoaMpB2rifUJ0EFS52B7eLl9rwO/Lbe2Qp+UuHccx3Ecx3Ecx2mk1GYwYVVwgWYAkoYCK7aqK6dRYIl5ricAB0laImkm8AhwBfAAsBCYI2k+8HeqmYFgZutJ3JLwarAA49fldt8AbAN8KGlBsO04juM4juM4juNsIbVZgPE3wP1AhqQCYAlwxlZ15TQazGwFVd8284cglWdykMr0F5R7PQHIqKSOIhLrLVTMfxh4uG6OHcdxHMdxHMdxnBoHE8zsC+DQYIp5EzNbs/VtOY7jOI7jOI7jOM7WwRfzTZ4aBxMkXVthGwAz++NW8uQ4juM4juM4juM4ToSpzW0O5Ve73w44Bvi4irKO4ziO4zjVkuyvQck+WjIVHhzHcRynsVPjAoxmdke5dBMwEOi01Z05TgyZ+PoEemV2JTOjC2Nvu6XR6aPgIWx9FDzEXR8FD2Hro+AhbH0qYqxevZrThp1MVo9u9OnZnRnvv1ev9UehDxq7PgoewtZHwUPY+ih4iLs+VTGiRJOYpEhjZnVKwK7A4rrqPHmKc8rOzrGiEqs2Fa7faB07dbKFiz6379dusJ49e9mceQtq1DUUfRQ8hK2Pgoe466PgIWx9FDyEra8pxrriTbVKp59xpv3lvvttXfEmW1243pZ//e3mfXHvA9fHw0PY+ih4CFsfBQ9x19cUIzs7x8L+rl7XtHvnTLvg+YWxSMDssPurqlTjYIekjyR9GKQFwCLgrq06wuE4MWTWzJl07tyFjp060bx5c04edirjX3mp0eij4CFsfRQ8xF0fBQ9h66PgIWx9KmJ8//33vPvuO4w862wAmjdvTsuWLeut/ij0QWPXR8FD2PooeAhbHwUPcdenKobT8KjNzIljgGODdDjQ1szu3aquHCeGLF9eQHp6u83baWnpFBQUNBp9FDyErY+Ch7jro+AhbH0UPIStT0WMpUuWsNtuu3PeOaPYp282vz7vHNauXVuzMEX1R6EPGrs+Ch7C1kfBQ9j6KHiIuz5VMZyGR7WDCZKaAq+b2ZdBKjCzjfXkzYkRkkolzS2XrqykzEBJ41Nc70BJ+5XbPl/Smamsw3Ecx4kfG0s3MveDOZxz3vm8P2sOO+64I7c3gHt8HcdxnOQRiYV445CiTLVPczCzUkmLJLU3s//WlyknlhSZWVYI9Q4ECoHpAGZ2XwgeAGjbNo38/GWbtwsK8klLS2s0+ih4CFsfBQ9x10fBQ9j6KHgIW5+KGGlp6aSlp9OvX38ATjxpKLePvbXe6o9CHzR2fRQ8hK2Pgoew9VHwEHd9qmI4DY/a3OawK7BA0puSXi5LW9uY0zCQdKSkTyTNAU4qlz9G0mXltudL6hC8PjNYo2OepMeCvGMlzZD0gaQ3JO0RlD8fuDiYDXFA+biSsiS9H8R6QdKuQf5kSbdKminpU0kHpKKtuX37snjxZyxdsoTi4mKeffopBh9zXKPRR8FD2PooeIi7PgoewtZHwUPY+lTE2HPPPUlPb8enixYB8PZbb9KtW7d6qz8KfdDY9VHwELY+Ch7C1kfBQ9z1qYrhNDyqnZkQsB2JdRPKEFD7oX2nsbC9pLnltm8GXgL+ARwMLAaerimIpEzgamA/M1slqVWw611gHzMzSecAvzezSyXdBxSa2e2B/pBy4R4FfmtmUyT9EbgO+F2wr5mZ9ZN0dJB/6Ba1uhzNmjXjznH3cuzgIygtLWXEyFF0z8xsNPooeAhbHwUPcddHwUPY+ih4CFufqhh33Hk3Z404g5LiYjp07MTfH3iw3uqPQh80dn0UPIStj4KHsPVR8BB3fapiRI0m0b6DIBbIzKovIM0xs+wKeR+aWa+t6syJFZIKzaxFhbws4G4zOzDYPg4YbWbHSBrDTwcB5vPjYp97mtlVFWL1BO4A2gDNgSVmdmQlccaQuO3hH8BHZtY+yO8MPGtm2ZImA1eZ2TRJewDTzKxLJW0aDYwGaNe+fc6nn3+ZZC85juM4qaCm7y61Ier3oTqO48SF/fvnkpc3O1Yfqnt06WHD73gubBu1YtwJ3fLMLDdsH5VR5W0Okn4t6SOga7lHQ34oaQnwYf1ZdBooG/np8bddDeXvAe41s57AebUoXxMbgv9LqWKGjpndb2a5Zpa7+267J1md4ziO4ziO4zhOw6G62xyeAP5DYrp6+ZX515jZt1vVldNQ+AToIKmzmX0ODC+3bynB7TOSsoGOQf5bwAuS/mxm30hqFRxvuwBlz58ZUS7OGmDnihWb2feSvpN0gJlNBX4FTElh2xzHcRzHcRzHiSl+m0PyVDmYYGbfA9/z0wtAx6mKimsmTDCzK4NbBV6VtA6YCuwU7P83cKakBcAM4FMAM1sg6SZgiqRS4ANgJDAGeFbSdyQGHMoGH14BnpN0PPDbCp5GAPdJ2gH4Ajgrhe11HMdxHMdxHMdptNRmAUbHqREza1pF/gQgo5L8IuDwKjSPAI9UyHuJxIKOFct+CpRfv2NquX1zgX0q0Qws93oV0KEyH47jOI7jOI7jOE7l1ObRkI7jOI7jOI7jOI7jOJvxmQmO4ziO4ziO4zhOo0Hyp/qkAp+Z4DiO4ziO4ziO4zhOnfDBBMdJIRNfn0CvzK5kZnRh7G23NDp9FDyErY+Ch7jro+AhbH0UPJx3zijat21NTlaPOmtTUX91MSTVKk2a+Dq9e2TQo9te3D721p/sM7Ma0913/ZnsXpnk9O7BmacPp6ioaPO+sPvA9fHxELY+Ch7C1kfBQ9z1yf5NcBootflj6slTY0/Z2TlWVGLVpsL1G61jp062cNHn9v3aDdazZy+bM29BjbqGoo+Ch7D1UfAQd30UPIStj4qHSW9Nsekz8qx7ZmaddHHpg3XFm6pNny1ZZr/s0MG++X6trSveZCcNOdn+/sCDm/c3hD5o6PooeAhbHwUPYeuj4CHu+qKS6v8mZGfnWNjf1eua9uiSaZe98kksEjA77P6qKvnMBMdJEbNmzqRz5y507NSJ5s2bc/KwUxn/ys8eQNFg9VHwELY+Ch7iro+Ch7D1UfEw4IADadWqVZ00qaw/Cn2wceNGioqK2LhxI+uK1tGmTdt6rT/sPoi7PgoewtZHwUPY+ih4iLsekvub4DRcfDDBcVLE8uUFpKe327ydlpZOQUFBo9FHwUPY+ih4iLs+Ch7C1kfFQzI0hD5IS0vjdxdfStfOv6RT+7bssvMuHHpYpU803ir1pyJGY9dHwUPY+ih4CFsfBQ9x1ztOVfhgglPvSDpBkknKqGL/ZEm5leSPlHTv1nfoOI7jNHa+++47xr/yMgs//YLPvyxg7dq1PPn4v8K25TiO4ziRwQcTnDAYDrwb/J80kiLxiNO2bdPIz1+2ebugIJ+0tLRGo4+Ch7D1UfAQd30UPIStj4qHZGgIffD2m2/wyw4d2H333dlmm204/oQTef/96fVWfypiNHZ9FDyErY+Ch7D1UfAQd31DJfF4yOinKOODCU69IqkFMAA4Gzg1yNte0lOSPpb0ArB9ufJnSfpU0kxg/3L5D0u6T9IM4DZJnSVNkJQnaWrZrAdJJ0uaL2mepHeCvExJMyXNlfShpL1S0bbcvn1ZvPgzli5ZQnFxMc8+/RSDjzmu0eij4CFsfRQ8xF0fBQ9h66PiIRkaQh+kt2/PrBkzWLduHWbG5LffIiOjW73Vn4oYjV0fBQ9h66PgIWx9FDzEXe84VRGJX3SdRsXxwAQz+1TSN5JygIOAdWbWTVIvYA6ApDbA9UAO8D3wNvBBuVjpwH5mVirpTeB8M/tMUn/gr8DBwLXAEWZWIKlloDsfGGdmj0tqDjRNRcOaNWvGnePu5djBR1BaWsqIkaPonpnZaPRR8BC2Pgoe4q6Pgoew9VHxcOYZw5k6ZTKrVq2ic4d0rrn2ekaOOrve6g+7D/r1688JJw1hv345NGvWjN5ZfRh1zuh6qz8VMRq7PgoewtZHwUPY+ih4iLsekvub4DRcZFa7ZyU7TiqQNJ7EhfwkSRcC7YEuwN1m9lZQZg4wmsRgwUlmdmaQfyGwt5ldIOlh4G0zeySY7bASWFSuqm2DwYn7gM7AM8DzZvaNpNOAq4BHg7zPqvA6OvBBu/btcz79/MvUdobjOI4TGsl+/1HU5546juPUE/v3zyUvb3asPhTb7NXDRox7PmwbteLWwV3zzOxn68lFAZ+Z4NQbklqRmC3QU5KRmBFg/HS2QV1YG/zfBFhtZlkVC5jZ+cFMhcFAnqQcM3siuD1iMPCapPPKBjIqaO8H7gfIycn1UTfHcRzHcRzHcZwAXzPBqU+GAo+Z2S/NrIOZtQOWAHnAaQCSegC9gvIzgIMk/ULSNsDJlQU1sx+AJZJODmJIUu/gdWczm2Fm15KYvdBOUifgCzO7G3ipXH2O4ziO4ziO4zhOLfCZCU59Mhy4tULev4E+wPaSPgY+JjG4gJmtkDQGeA9YDcytJvbpwN8kXQ1sAzwFzAPGBgssCngzyLsC+JWkEuAr4E8paJvjOI7jOI7jODHBf1VPHh9McOoNMxtUSd7dNWgeAh6qJH9khe0lwJGVlDupkrC3BMlxHMdxHMdxHMfZAnxAxnEcx3Ecx3Ecx3GcOuGDCY7jOI7jOI7jOI7j1Am/zcFxHMdxHMdxHMdpVPgTfpPHBxMcx3Ecx2l0yL9FOo7jOE5S+G0OjpNCJr4+gV6ZXcnM6MLY2+q+xmPc9VHwELY+Ch7iro+Ch7D1UfAQtj4KHlLRhtLSUvbJ7cNJxx+zRfqw2xB3fRQ8hK2Pgoew9VHwEHd9qmI4DQwz8+TJUw0pOzvHikqs2lS4fqN17NTJFi763L5fu8F69uxlc+YtqFHXUPRR8BC2Pgoe4q6Pgoew9VHwELY+Ch5S0YaiErNbbrvDTjl1uB119OA6a8NuQ9z1UfAQtj4KHsLWR8FD3PU1xcjOzrGwv6vXNbXZq4dd/Z9PY5GA2WH3V1XJZyY4ToqYNXMmnTt3oWOnTjRv3pyTh53K+FdeajT6KHgIWx8FD3HXR8FD2PooeAhbHwUPqWhDfn4+E/7zKmeNOqdOulR5aOz6KHgIWx8FD2Hro+Ah7vpUxXAaHj6Y4DgpYvnyAtLT223eTktLp6CgoNHoo+AhbH0UPMRdHwUPYeuj4CFsfRQ8pKINl1/6O266+TaaNNmyr1thtyHu+ih4CFsfBQ9h66PgIe76VMVwGh4+mOBsVSSVSppbLl0Z5P9O0g7lyhXWMW5bSc/VUOYBSd2D13/YEv+O4ziOsyW89up4Wu/emuycnLCtOI7jOM5WwZ/m4Gxtiswsq5L83wH/AtZtSVAzWw4MraFM+XmlfwD+tCV11Za2bdPIz1+2ebugIJ+0tLRGo4+Ch7D1UfAQd30UPIStj4KHsPVR8JCs/r3p0xg//mUmTHiNDevX88MPP3DWmWfw0KP/qjcPjV0fBQ9h66PgIWx9FDzEXZ+qGFHDH+qTPD4zwal3JF0ItAXelvR2ufybJM2T9L6kPYK8hyXdLWm6pC8kDQ3yO0iaH7xuKul2SfMlfSjpt0H+ZEm5km4Btg9mRjwu6Y+Sfleh3ouSbVdu374sXvwZS5csobi4mGefforBxxzXaPRR8BC2Pgoe4q6Pgoew9VHwELY+Ch6S1d9w0818vjSfRYuX8ujjTzFw0MF1GkiIQhviro+Ch7D1UfAQtj4KHuKuT1UMp+HhMxOcrc32kuaW277ZzO6WdAkwyMxWBfk7Au+b2VWSbgPOBW4M9rUBBgAZwMtAxdsbRgMdgCwz2yipVfmdZnalpAvKZkhI6gA8D9wlqQlwKtCvonFJo4PYtGvfvsaGNmvWjDvH3cuxg4+gtLSUESNH0T0zs0ZdQ9FHwUPY+ih4iLs+Ch7C1kfBQ9j6KHhIRRuSJew2xF0fBQ9h66PgIWx9FDzEXZ+qGE7DQ2YWtgenASOp0MxaVJK/FMgtG0yQtAHYzsxM0jDgMDM7R9LDwCQzezwot8bMdgoGBMabWQ9J/wbuM7NJFeqYDFxmZrMr+pA0Cfg9sAdwjplVe8tETk6uTZsxe0u7wXEcx3Ecx3EaJPv3zyUvb3asbhpou3dPG33v82HbqBXXH7F3npnlhu2jMnxmghMVSuzHka1Sfnpsbij3OlUfVA8AI4E9gQdTFNNxHMdxHMdxHKdR4GsmOGGxBtgpRbEmAedJagZQ8TaHgBJJ25TbfgE4EugLvJ4iH47jOI7jOI7jOI0Cn5ngbG0qrpkwwcyuBO4HJkhabmaDkqzjAWBv4ENJJcA/gHsrlLk/2D/HzE43s+Jg8cfVZlaaZP2O4ziO4ziO48QEAU38cQ5J44MJzlbFzJpWkX8PcE+57RblXj9HsMiimY2soGsR/L8U6BG83ghcEqTyZQeWe30FcEXZdrDw4j7AyVvQLMdxHMdxHMdxnEaN3+bgNDokdQcWA2+a2Wdh+3Ecx3Ecx3Ecx4kbPjPBaXSY2UKgU9g+HMdxHMdxHMdx4ooPJjiO4ziO49Qz73/+TVL6fTr/IkVOHMdxoHST1VyoCrZcGS6+ZELy+G0OjpNCJr4+gV6ZXcnM6MLY225pdPooeAhbHwUPyejXr1/PgH370S+7N9m9M7nh+uvqtf5UxYi7PgoewtZHwUPYeoDS0lLOPXEQ/++84QCsyP+SX59yOJkZXTjjtGEUFxcDMO7OP9OnV3f69unFUYcfwpdffhmJNoStj4KHsPVR8BC2Pgoe4q7/9ehRdEjfg759em7OO/P0U9m3bx8++XghkpZWWHTdaQyYmSdPnmpI2dk5VlRi1abC9RutY6dOtnDR5/b92g3Ws2cvmzNvQY26hqKPgoew9VHwkKx+XfEmW/ndGisqMfthXbHl9u1nk6e+533ox5H3QYr1b3+yqlbp11f80Q4efJLtc9Bh9vYnq+ygI4+3a+6434pKzM459zwbd89frajEbMKkt+yb79daUYnZuHv+akNOPiXyfeDHkfeB90F09IUbNlWbJrwx2d59f7Z16575s319snMMuAO4Nuzv7LVNbffqYX+c9FksEjA77P6qKvnMBMdJEbNmzqRz5y507NSJ5s2bc/KwUxn/ykuNRh8FD2Hro+AhWb0kWrRIPFylpKSEjSUlqA7zAL0PvQ9SoY+Ch7D1ACu/Ws77UyYx+OQzgMQPQB+8P5WDjjgOgNN/NYJXXn4RgIMGDmKHHXYAoF//fSjIzw+9DWHro+AhbH0UPIStj4KHuOsBBhxwILvu2qrSfWYGcArwZJ2ChomgSUxSlPHBBMdJEcuXF5Ce3m7zdlpaOgUFBY1GHwUPYeuj4CEVbSgtLaV/Thbt27bm4EMPo1///vVaf9h9ELY+Ch7C1kfBQ9h6gHv/dBXnXXYdTZT4uvbD6m9psfMuNG2WWPIqLT2d5ct/HvPhh/7JEUceFXobwtZHwUPY+ih4CFsfBQ9x19fE2sJCgP+ZPyWt0eGDCU69ImlPSU9J+lxSnqTXJO0dkpeWkv4vjLodJ8o0bdqUGXlzWbw0n9mzZrJg/vywLTlOo+O9t1+n5S92o2uPrDrpnnz8X8zJm83Fl16+dYw5juNU4LvvvoU4zUpwUoY/zcGpN5SYK/0C8IiZnRrk9Qb2AD4NwVJL4P+Av6YiWNu2aeTnL9u8XVCQT1paWqPRR8FD2PooeEhFG8po2bIlBw0cxMSJE8js0aPe6g+7D8LWR8FD2PooeAhbP3/OTKa/NYEZU96guHgD6wrXcM9Nf6Dwh+8p3bgxETM/n7Ztf4z51ptvcOstNzHxzSlsu+22obchbH0UPIStj4KHsPVR8BB3fXVs3LiR1atXAzydkoBOrPCZCU59MggoMbP7yjLMbB7wrqSxkuZL+kjSMABJAyVNlvScpE8kPR4MSCDpFkkLJX0o6fYgb3dJ/5Y0K0j7B/ljJD0YxPpC0oVB9bcAnSXNlTQ22cbl9u3L4sWfsXTJEoqLi3n26acYfMxxjUYfBQ9h66PgIVn9ypUry74UUFRUxJtvTKJr14x6qz8VMeKuj4KHsPVR8BC2/txLr+HZKR/x1FsfcO0d99On/wCuvv3v9Ok/gCmvvwzA4489wjHHHg/A3A8+4IL/O4/nnn+Z1q1bR6INYeuj4CFsfRQ8hK2Pgoe466vj7TffYLvttsPM8lMSsB5RTP5FGZ+Z4NQnPYC8SvJPArKA3sBuwCxJ7wT7+gCZwHJgGrC/pI+BE4EMMzNJLYOy44A7zexdSe2B14Fuwb4MEoMZOwGLJP0NuBLoYWZZqWhcs2bNuHPcvRw7+AhKS0sZMXIU3TMzG40+Ch7C1kfBQ7L6r1as4NxRIygtLWWTbWLI0FM4evAx9VZ/KmLEXR8FD2Hro+AhbH1VjL7sWm645Fwe/+ut9M7qw8hRZwPwhysvZ21hIaefejIA7dq357kXXo51H/hx5H2QCn0UPMRdDzDyV6cx9Z3JfLNqFXt3asdV14xhxFln89yzT1e5MKPT8FGw+qbjbHWCGQEdzeziCvl3Ah+Z2YPB9mPAs8APwFVmdliQ/zcSAwpPkRiUyAPGA+PNrFjS1yQGHcrYHegKXEZiRsRNQZyPgcNIDKaNN7NK529LGg2MBmjXvn3Op59/mXwnOI7jOA7w/uffJKXfp/MvUuTEcRwHSjdt+TXhAfv2ZU7e7Gj/hF6BtK497Td/fTFsG7XiqkO75JlZbtg+KsNnJjj1yQJgaB01G8q9LgWamdlGSf2AQ4J4FwAHk7htZx8zW18+QHBnxM/i1FSxmd0P3A+Qk5Pro26O4ziO4ziO0wAQ0X/sYhzwNROc+uQtYNvgF38AJPUCVgPDJDWVtDtwIDCzqiCSWgC7mNlrwMUkbo8AmAj8tly5rBr8rCFx24PjOI7jOI7jOI5TB3wwwak3LHFPzYnAocGjIRcANwNPAB8C80gMOPzezL6qJtROwHhJHwLvApcE+RcCucGijAuB82vw8w0wLVj4MekFGB3HcRzHcRzHcRoLfpuDU6+Y2XLglEp2XR6k8mUnA5PLbV9Qbne/SmKvAoZVkj+mwnaPcq9Pq5Vxx3Ecx3Ecx3EaDH6bQ/L4zATHcRzHcRzHcRzHceqEDyY4juM4juM4juM4jlMn/DYHx3Ecx3GceibZRzv+7/v1NReqgT122S7pGI7jNAyaJjHn3+8WaLz4zATHSSETX59Ar8yuZGZ0YexttzQ6fRQ8hK2PgofzzhlF+7atycnqUXPhrVB/Q+jDsPVhe1i2bBlHHDqIPr26k907k3vvHlev9acqRtz1yca4/MLzyMloz+EDcn6S//A//srB+/Qmu3cmf7jy9wCUlJRwzlkjyM3qSVbPboy99eakP0uS9Z8KfRQ8hK2Pgoew9VHwEHc9wOrVqxk+bCi9e2SQ1bMb77/33hbFiQqSYpEijZl58uSphpSdnWNFJVZtKly/0Tp26mQLF31u36/dYD179rI58xbUqGso+ih4CFsfFQ+T3ppi02fkWffMzDrpouI/bA9h66Pg4Yv/LrfpM/KsqMTs629/sC577dXo+iBsfU0xlq4qqjE9/fIkG//mdNs7o/vmvCdemGD7HzjIFhWstqISsy8L/mdFJWYPPfq4DT1lmBWVmH3z/Vpr/8tf2mOPP7XFnyVx6MPGoI+Ch7D1UfAQd31ZOv2MM+2v9/3DikrMvl+7wVas/M6KSsyys3Ms7O/qdU1pe/ew297+PBYJmB12f1WVfGaC46SIWTNn0rlzFzp26kTz5s05edipjH/lpUajj4KHsPVR8TDggANp1apVnTSpqr8h9GHY+ih4aNOmDX2yswHYaaedyMjoxvLlBfVWfypixF2fihj99xvALrv+9LPg8Yfv59cXXca2224LQOvWrYHEL3Tr1q5l48aNFBUV0bx5cw4+9LAt/ixJhf8o9GHc9VHwELY+Ch7irgf4/vvveffddxg56mwAmjdvTsuWLesUw2l4+GCC46SI5csLSE9vt3k7LS2dgoLaf/mOuz4KHsLWR8VDMkTBf9gewtZHxUMZXy5dyty5H9C3X/96rT/sPghbn6oYFfni88XMfG8axx9+AIcdfBCzZ80C4KQhQ9lhxx3p2K4Ne3dqz+8uviypgYRU+I9CH8ZdHwUPYeuj4CHueoClS5aw2267M/rss9gntw+/Hn0Oa9eurVOMKCESj4aMQ4oyjW4wQVKppLnl0pUpijtG0mXB64clDU1F3GrqGympbRX7/ijp0BTUkSXp6HLbm9u4tZA0UNJ+W6Db3OeSHpDUPfXuHMdxGheFhYUMP2UIY++4i5133jlsO04KKN24ke9Xf8uLr7/Dn24ZyxmnnYKZMWvmTJo2acoX/13Ox58tYdxdd7Dkiy/Ctus4TkTYuHEjcz+Yw7nn/Zr3Z3/ADjvuyO1buPaC03BodIMJQJGZZZVLtT4LJEXp6RcjgUoHE8zsWjN7IwV1ZAFH11SotkhqWotiA4E6DyaUx8zOMbOFycTYEtq2TSM/f9nm7YKCfNLS0hqNPgoewtZHxUMyRMF/2B7C1kfFQ0lJCcNPGcKw4adzwokn1UnbEPogbH2qYlRkz7ZpHDH4BCTRt18/mjRpwqpVq3jmqSc4/Igj2WabbWjdujX77rs/eXmzk6qrIfRh3PVR8BC2Pgoe4q4HSEtPJy09nX79E7PUThwylLkfzKlTDKfh0RgHEypF0lJJ10uaI+kjSRlB/hhJj0maBjwmqYOktyR9KOlNSe1rEffmYBbEbEnZkl6X9Lmk88uVu1zSrCDu9UFeB0kfS/qHpAWSJkraPvgFPhd4PIi7fYU6y/9KX2m7KpTfTtJDwf4PJA2S1Bz4IzAsqGNYULy7pMmSvpB0YbkYZ0iaGZT9e9nAgaRCSXdImgfsW6HeCyUtDNr8lKQOwPnAxUGcAyrO8pBUGPwvSfdKWiTpDaB1uTKTJeUGrw+X9F7Q/mcltQjybylX9+3VvYe1JbdvXxYv/oylS5ZQXFzMs08/xeBjjms0+ih4CFsfFQ/JEAX/YXsIWx8FD2bG+eeeTdeMblx08SV18p6K+lMRI+76VMWoyOFHHcv7704B4LNPP6W4uJjddtuN9Pbtmfz2WwCsXbuWmTPfp2vXn31lqFf/UejDuOuj4CFsfRQ8xF0PsOeee5Ke3o5PFy0CYPJbb5LRzScCN3ai9Et7fbG9pLnltm82s6eD16vMLFvS/wGXAecE+d2BAWZWJOkV4BEze0TSKOBu4IQa6vyvmWVJuhN4GNgf2A6YD9wn6XBgL6AfiVt4XpZ0IPDfIH+4mZ0r6RlgiJn9S9IFwGVmVpufDapqVxm/AczMegaDDROBvYFrgVwzuwASAytABjAI2AlYJOlvQBdgGLC/mZVI+itwOvAosCMww8wurcTXlUBHM9sgqaWZrZZ0H1BoZrcHdZ5dRZtOBLqSeG/2ABYCD5YvIGk34GrgUDNbK+kK4BJJfwn0GWZmklrW2IO1oFmzZtw57l6OHXwEpaWljBg5iu6ZmY1GHwUPYeuj4uHMM4YzdcpkVq1aRecO6Vxz7fWbF0yKg/+wPYStj4KH6dOm8cTjj9GjR0/652QBcP2Nf+LIo2o3Wa0h9EHY+lTE+O25Z/L+tKl89+0q9unZmYuvuIZTTh/B7y88j8MH5LDDdtvywIOPIInzf/0bRp9zFtm9MzEzfjXiLMbedvMWf5akwn8U+jDu+ih4CFsfBQ9x15fx57vu4awzT6e4uJgOnTpx/wMP1TlGZBBE/amLcUBmFraHekVSoZm1qCR/KYmL4QJJ/YGbzOzQ4ALazKxstsAqoE1w0bwNsMLMdgvKFZrZ7ZIeBsab2XMV4o4C9jWzc4NY/wV6kbjgHQqsDuy0AG4G3gQmmdleQfkrgG3M7EZJk6liMKGa+je3q0L5F4B7zOytYHsqiQGGbH4+mFBiZjcF2x8Dh5EYTPkD8HUQcnvgSTMbI2kjsK2ZlVbicwJQCLwIvGhmheX7sWJbgu1CM2sh6S7gQzN7MMh/HngiaPNkEoMme5IYvMkPqmwOvAecB+QFaXwQv7gSf6OB0QDt2rfP+fTzLysWcRzHcZxQ+N/365OOsccu26XAieM4jZ39++eSlzc7Vpfm7TJ62sX31+2JFmFx6UGd88wsN2wfldEYZyZUx4bg/1J+2jfJLlVaFndTuddl281IzEa42cz+Xl4UTPsvX76UxIX6ltZfsV1bQkU/Zf4fMbP/V0n59ZUNJAQMBg4EjgWuktSzkjIbCW7HkdSExIBAbRGJwZjhP9sh9QMOITGIcwFwcMUyZnY/cD9ATk5u4xp1cxzHcRzHcRzHqQZfM6HuTAdODV6fDkxNQczXgVHl7udPk9S6Bs0aErcapIKpJNqCpL2B9sCiOtTxJjC0zLOkVpJ+WZ0gGBhoZ2ZvA1cAu5CYkVGxzqVATvD6OGCb4PU7JNZzaCqpDYlbLyryPrC/pC5BnTtK2jvo513M7DXgYqB3LdroOI7jOI7jOE4DoYkUixRlGuPMhIprJkwws7o8HvK3wEOSLgdWAmcla8jMJkrqBrynxAFTCJxB4pf/qniYxHoLRSRunShKwsJfgb9J+ojETICRwToGbwNXBv11czX+F0q6GpgYDBKUkLhNorr7ApoC/5K0C4kZBHcHaya8Ajwn6XgSff0P4KVgAccJ/DhL5AUSswkWklhb4r1KfK2UNBJ4UtK2QfbVJAYsXpK0XVB33VcXcxzHcRzHcRzHacQ0ujUTHGdLyMnJtWkzkntEluM4juOkCl8zwXGcqBDXNRMu/cfLYduoFRcf2Cmyayb4bQ6O4ziO4ziO4zhOo0FAE8Uj1ao9UktJz0n6RNLHkvYNbj2fJOmz4P9dg7KSdLekxZI+lJS9pf3ogwmO4ziO4ziO4ziOE1/Gkbh9P4PEenAfA1cCPx9nmAABAABJREFUbwZPBnwz2AY4CtgrSKOBv21ppT6Y4DiO4ziO4ziO4zgxJFiD7kDgnwBmVmxmq4HjgUeCYo8AJwSvjwcetQTvAy2DBe3rjA8mOE4Kmfj6BHpldiUzowtjb7ul0emj4CFsfRQ8hK0/75xRtG/bmpysHnXWpspD3PVR8BC2PgoewtZXdy7tsct2tUrz3p/MYfv15uD+PXj073f9ZN83azZUm0aOGEF6m9Zk9cz82b4/3Xwr228jVq1aBcCTTzxO3z69yM3qycAD9uPDefMi0YfLli3jiEMH0adXd7J7Z3Lv3ePq3UPY+ih4CFsfBQ9R15tZtWnRJ5/QLydrc2rdamfuGXdnYn+d3Th1ZDdJs8ul0RX2dyTxYICHJH0g6QFJOwJ7mNmKoMxXwB7B6zRgWTl9fpBXd2o6cDx58mRkZ+dYUYlVmwrXb7SOnTrZwkWf2/drN1jPnr1szrwFNeoaij4KHsLWR8FD2PqiErNJb02x6TPyrHtmZp10UWlD2PooeAhbHwUPYeuLSrb+uZT/7fpq03PjJ9l/3n7PumZ0/0n+zA8/s4MGHWrt2re3ZStWWlGJ2VtTptnyr7+1ohKzF195zXL79otEH37x3+U2fUaeFZWYff3tD9Zlr71idRz4ueR9UF/6dcWbap3WFJVY6z32sE8+W2LrijdZn+wcC/u7el1Tu6497O53v4hFAmZX1xYgl8QT+foH2+OAG4DVFcp9F/w/HhhQLv9NIHdL+tFnJjhOipg1cyadO3ehY6dONG/enJOHncr4V15qNPooeAhbHwUPYesBBhxwIK1ataqTJpUe4q6Pgoew9VHwELYewj+X9tnvAFruuuvP8sdc9Xuuuv5PqNzzz/fdbz92Dcr2678PBQX5kejDNm3a0Cc7sbbYTjvtREZGN5YvL6g3D2Hro+AhbH0UPMRdX5G333qTTp060/6Xv9ziGE5KyQfyzWxGsP0ckA38r+z2heD/r4P9BUC7cvr0IK/O+GCC46SI5csLSE//8bxMS0unoKD252Xc9VHwELY+Ch7C1qeCsNsQtj4KHsLWR8FD2PpUsDU8vP7aK+zZpi3de/SqsszDD/2TI444KnJ9+OXSpcyd+wF9+/WvNw9h66PgIWx9FDzEXV+RZ595ipOHnbrFeie1mNlXwDJJXYOsQ4CFwMvAiCBvBFA2gvQycGbwVId9gO/tx9sh6kSzLbftJIOkUuAjEu/BEuBXllgoI3QkTQYuM7PZKYq3FFgTbDYFngduNLM6PyRb0vnAOjN7tIr9xwHdzWzLbqhzHMdxHKdSitat454/38YTz4+vssyUyW/zyEP/5M3J7zJl8tv16K56CgsLGX7KEMbecRc777xz2HYcJ7YUFxfz2vhX+OONN4dtJUlEE2r53MV48FvgcUnNgS+As0hMHHhG0tnAl8ApQdnXgKOBxcC6oOwW4YMJ4VFkZlkAkh4BfgPcVF+VKzE3UWa2KcVxm5nZxkp2DTKzVZJaAPcDf+fHkbJaY2b31bD/ZRKjbfVO27Zp5Of/uJZJQUE+aWm1X8sk7vooeAhbHwUPYetTQdhtCFsfBQ9h66PgIWx9Kki1h6VLv2DZf5dy+AF9AVixvIB9+2UzdfpM9txzTz768EN+fd45vPTKf/jFL34RmT4sKSlh+ClDGDb8dE448aQ6acNug59L3gdR0Jfn9Qn/IatPNnvssUfNhZ16w8zmklg7oSKHVFLWSFx7Jo3f5hAN3iNYQVNSZ0kTJOVJmiopI8g/WdJ8SfMkvRPkNZU0VtIsSR9KOi/IbyHpTUlzJH0k6fggv4OkRZIeBeYD7SRdEZSZJ6n8r/knS5op6VNJB9RQ38DA68skptRUiZkVAucDJ0hqFegvLxfz+rKyks4M8uZJeizIGyPpsuD1hZIWBmWe+v/snXl8VcX5h58XIm6gSAWFBGSVJRBCEkBFEFHrAioqCriBqGgX/bm2trVWrVbrWpS21lqLWuteFVDZ90UgYZNFEAWFQEVckECAEN7fH/ckvcRsN/eGmZO8D5/5cM6c+c58Z+459+bOnfOeIG+4iIyO6u+04PhUEWkR5I8RkadEZJ6IfCYig6r8ykWR1b0769Z9wob169m7dy9vvPYq/QdcUGv0PnhwrffBg2t9InDdB9d6Hzy41vvgwbU+ESTaQ8dOnVm2diMfLlvLh8vWkpySwvyFizn++OP54osvGHLZxfzjny/R7sQTE9J+IvyrKjdefy3tO3Tk/269LSZtIjy41vvgwbXeBw9h10fzxmt2i4PxP2xlgmNEpC6RGaN/BFnPAjeq6ici0hP4C9APuAc4W1VzRaRhUPZaIve4dBeRQ4G5IjKJyKM+LlLV70XkWODD4Is+QDtgmKp+KCLnEnnOaE9V3VX05T4gSVV7iMh5wO+AM8tpDyJBPjqr6vqK+hz4Wg+0C56L2g7oAQgwVkT6AF8DdwOnBCsaSotAdRfQSlX3RI1JNE8DL6jqCyIyAniK/z1ftSlwKtCByEqGNyvyXRFJSUk8OWo05/c/m8LCQoYNH0Gn1NRao/fBg2u9Dx5c6wGuvnIos2fOYNu2bbRpmcJv77mP4SOuDU0fXOt98OBa74MH13pwfy397LqrmD93Nt98vY2s1DbcftfdDL2q9NWwDz1wP998/TW33PTT4rbnLsh2Pobz5s7l3y+/ROfOXeiZmQ7AfQ/8gXPOPe+geHCt98GDa70PHsKuL2Lnzp1MmzqZp/9S7kJhoxYhweMgjINMVMyEZGA1cDpwOJFnhK6JKnqoqnYUkWeANsDrwH9U9WsReRNII3KvC8DRwA3AdOBJoA+wH2hP5PmjhwHTVbVV4OFx4GNV/XsJbzOA36jqXBE5Dpirqm3LaW8v8DtVPb2Mvm4g8riRbVF5y4CRwKXAIOC74FB94CHgCOB4Vf1NibruBfJU9TERmQDkAe8A76hqnogMD9r6uYhsA5qqaoGIHAJsUdVjRWQMMFlVXw7q3KGqDUrxPTLwSPMWLTLXfvp5ad0zDMMwjFDy9Y49cel/1ODQBDkxDMM18Xwn7HVSdxbnZIcqAMEJHdL0l887uTM6Zn7Wq1WOqpZ2C4NzbGWCO/JVNV1EjgAmErlvZQyR54GmlyysqjcGKxX6Azkikknkl/ybVHVidNngC3VjIDP4Ir2ByEQCwM5K+iv6C6OQ/50nZbXXN4Z6EZEGQEtgbVDnQ6r6txJlbqpEVf2JTJicD/xGRLpU1gP/6x+Bhx+gqs8SWSlCZmaWzboZhmEYhmEYhmEEWMwEx6jqLuBm4HYiv/ivF5FLIRIkUUS6BtttVHWBqt5DZPVCcyKTED8JfnVHRE4UkSOJrBjYGkwknA6U9RDYycA1wYQGZdxKEE1Z7VUaiQRg/AuRlQTfBnWOCPIRkWQRaQJMIxK34UeleROROkBzVZ0O/DLoc/0Szc0Dim7qugKYHYtXwzAMwzAMwzAMo3RsZYIHqOoSEVkODCXypfevInI3cAjwKrAMeFRE2hH5FX1qkLecyC/8i0VEiEwyDAReBsaJyEdANvBxGe1OEJF0IFtE9hJ5TMivy7H6XBntVYbpgaYO8Dbw+8DDJBHpCMyPHCYPuFJVV4rIg8DM4JaQJcDwqPrqAv8KYi4I8JSqfhfUUcRNwD9F5M7Aa5Ufe2IYhmEYhmEYRg1BoE6obszwE4uZYBiVIDMzS+cuyHZtwzAMwzAShsVMMAyjiFoXM6Fjmv4qJDETfnKKvzET7DYHwzAMwzAMwzAMwzBiwm5zMAzDMAzDMAzDMGoVdSRUiym8xFYmGIZhGIZhGIZhGIYRE7YywTAMwzAMoxYSb8yDgn3749IfkmS/aRmGL0gcv9Lb7/u1F3sXN4wEsXHjRs4+83S6pXUio2sqo58aFXMdkyZOIC21Pakd2vLoIw+HTu+DB9d6Hzy41t9w3QhaNGtCZnrnmLWJ0EN8fdi9ezenntyDHhldyeiayu/v+13M7deE94N4XodEjCG4HwPXeh88xHst9T31JE7p0Y0eGV148Pf3AnD2GafRq2cGPTPTadWiGZdeMrDa/CfiXAzzawA14/2otl9LPugT9b5u1DBU1ZIlSxWkjIxMzS/QctNnX2zWeQtyNL9Ades332vbdu108bKVFeqKUt7ufdqqdWtdteZT3b5zj3bpkhYqvQ8eXOt98OBan1+gOnnaTJ23IEc7pabGpEuUPt4+7Nq7X7/6dofmF6h+v2uvZnXvoTNmz4/JQ9jfD+J9HRIxhq7HwLXeBw8V6b/PLyw3bd+1Tzd/tV2/zy/Ur7/frZlZPXTKjLnFx/MLVC+86GJ97vkXqm0M4z0XfX8NKpPC/n5UG64l3/X5BeVfSxkZmer6b/VY0wkduuizH24IRQKyXY9XWclWJhhGgmjatCndMjIAaNCgAR06dGTz5txK6xctXEibNm1p1bo19erV49LBQxg/7t3Q6H3w4FrvgwfXeoBTe/ehUaNGMWkSqY+3DyJC/fr1ASgoKGBfQUHMyz/D/n4A8b0OiRhD12PgWu+Dh4RfS/sOPA++//57Zk6fxvkXDqyW9kv1EOO56HoMEzEGYX8/smvJvR4S875u1DxsMsEwqoHPN2xg6dIldO/Rs9KazZtzSUlpXryfnJxCbm7lP+xd633w4FrvgwfXeh9IRB8KCwvpmZlOi2ZN6HfmWfToWflruSRhfD9IBPGOoesxcK33wUOirqVePTNo0+J4Tu935gHXwbh336FvvzM46qijqq39Ig9VPRddj2Gir+Uwvh/ZteReX0QiPxuNmoFNJhjVjogcLyKvisinIpIjIu+LyInV3GYzEXkz2E4XkfOqs71o8vLyGHrZJTz6+J/K/APJMAy/qVu3LgtylrJuwyayFy1k5YoVVaqnNr8fJGoMjXBTt25d5i5YzOp1X5CTvYhVK/93Hrz+2itcNnjoQfFg52Ltfj8yEkNNu5bqiIQi+YxNJhjVikTWP70NzFDVNqqaCfwKOK4621XVzao6KNhNBw7KZEJBQQFDL7uEwUOvYOBFF8ekbdYsmU2bNhbv5+ZuIjk5OTR6Hzy41vvgwbXeBxLZh4YNG3Ja39OZNGlCzNowvx8kkqqOoesxcK33wUOir6Xep/VlyqSJAHy9bRvZixZy7nn9D0r7RR5iPRddj2GixiDM70d2LbnXlySez0ajZmGTCUZ1czpQoKrPFGWo6jJgiYhMFZHFIvKRiFwIICItReRjEXlZRFaLyJsickRw7B4RWSQiK0Tk2WCiAhFpKyJTRGRZUF+boJ4VIlIPuB8YLCJLRWSwiHwiIo0DbR0RWVe0Hw+qyo3XX0v7Dh35v1tvi1mf1b0769Z9wob169m7dy9vvPYq/QdcEBq9Dx5c633w4FrvA/H24auvvuK7774DID8/n6lTJtO+fYeYPIT9/SBeEjGGrsfAtd4HD/Hqt5U4D6ZPnUK79u0BeOftNzn3vAEcdthh1dY+xH8uuh7DRIxB2N+P7Fpyr4fEvK8bNY8k1waMGk9nIKeU/N3ARar6vYgcC3woImODY+2Ba1V1rog8D/wUeAwYrar3A4jIS8AAYBzwMvCwqr4tIocRmSRrAqCqe0XkHiBLVX8eaDsAVwB/As4ElqnqVyUNishIYCRA8xYtKuzovLlz+ffLL9G5cxd6ZqYDcN8Df+Cccyu3KCIpKYknR43m/P5nU1hYyLDhI+iUmloprQ96Hzy41vvgwbUe4OorhzJ75gy2bdtGm5Yp/Pae+xg+4tqDpo+3D//dsoXrRwyjsLCQ/bqfSwZdxnn9B1RaD+F/P4D4XodEjKHrMXCt98FD3NfSf7dw4/XXRM6D/fu56JJLOfe8yHnw1huvc+cv76rW9iH+c9H1GCZiDML+fmTXkns9JOZ93ah5iKq69mDUYETkZqCVqt5aIv8Q4EmgD7CfyARCK+AwYJaqtgjK9QNuVtWBInIJ8AvgCKAR8DTwZ2C1qqaUqL8lMF5VO4vIcA6cTGgOvKuqGSLyKvAvVR1fXj8yM7N07oLsOEbCMAzDMGoWBfv2x6U/JMkWyBpGTaBXzyxycrL9vrm/BC07puk9L5b75783XNvjhBxVzXLtozTsXdyoblYCmaXkXwE0BjJVNR34kshEAkDJGS4NVhz8BRikql2Av0eVjwlV3Qh8GUxU9AA+qEo9hmEYhmEYhmEYtRWbTDCqm2nAocEtAwCISBpwArBVVQtE5PRgv4gWInJysH05MIf/TRxsE5H6wCAAVd0BbBKRgUHdhxbFWIhiB9CgRN5zwL+AN1S1MM4+GoZhGIZhGIZh1CpsMsGoVjRyH81FwJnBoyFXAg8B7wNZIvIRcDXwcZRsDfAzEVkNHAP8VVW/I7IaYQUwEVgUVf4q4GYRWQ7MA44vYWM60KkoAGOQNxaoD/wzYZ01DMMwDMMwDMN7hMgX4TAkn7EAjEa1o6qbgctKOXRyyYwg1sE+Vb2ylHruBu4uJf8ToF8p9XcOjn8DdC9xrCuRwIsf/0BlGIZhGIZhGIZhlItNJhi1DhG5C/gJkbgNhmEYhmEYhmEYRozYZILhFaq6gWBFQTW28TDwcHW2YRiGYRiGYRiGpwiIhOoBFF5ikwmGYRiGYRhGzMT7aMd4H09uXwQMwzDc4ntMB8MIFZMmTiAttT2pHdry6COxL34Iu94HD671PngIu94HD671PnhwrffBg2u9Dx5c62+4fgQnJB9HVnqX4rz/vPkGmV07c0S9OuRkZ1e7h7DrffDgWu+Dh7DrE1WHUcNQVUuWLFWQMjIyNb9Ay015u/dpq9atddWaT3X7zj3apUuaLl62skJdTdH74MG13gcPYdf74MG13gcPrvU+eHCt98FDdet37d1fYZo0dYbOXZCtnTqlFuctXrZSl360Wnv3OU3nzF8U6jGw88jGIAz6iurIyMhU13+rx5paduyiYxZ9EYoEZLser7KSrUwwjASxaOFC2rRpS6vWralXrx6XDh7C+HHv1hq9Dx5c633wEHa9Dx5c633w4FrvgwfXeh88uNYDnNq7D42OaXRAXoeOHTmxfftQ9MG13gcPrvU+eAi7PlF1+IaEJPmMTSYYRoLYvDmXlJTmxfvJySnk5ubWGr0PHlzrffAQdr0PHlzrffDgWu+DB9d6Hzy41icC131wrffBg2u9Dx7Crk9UHUbNwyYTjB8gIoUisjQq3RXk3yIiR0SVyytDf6OIXF3FtkutMzg2UERURDpUod6+IjI+2L4gqk8DRaRTVbwahmEYhmEYhmHUVuxpDkZp5Ktqein5twD/AnaVJ1bVZ6rBE8BQYE7w/++qWomqjgXGBrsDgfHAqnjNNWuWzKZNG4v3c3M3kZycXGv0PnhwrffBQ9j1PnhwrffBg2u9Dx5c633w4FqfCFz3wbXeBw+u9T54CLs+UXX4hAB17IkwcWMrE4xKISI3A82A6SIyPSr/QRFZJiIfishxQd69InJHsN1WRKYEZRaLSBsRqS8iU4P9j0Tkwkq0Xx84FbgWGBKVX7ziINgfLSLDg+1zRORjEVkMXBxVZnhQ7hTgAuDRYAVGm3jGKKt7d9at+4QN69ezd+9e3njtVfoPuKDW6H3w4Frvg4ew633w4FrvgwfXeh88uNb74MG1PhG47oNrvQ8eXOt98BB2faLqMGoetjLBKI3DRWRp1P5DqvqUiNwGnK6q24L8I4EPVfU3IvIIcD3wQIm6XgYeVtW3ReQwIhNYe4GLVPV7ETkW+FBExqpqeQ+cvhCYoKprReRrEclU1ZyyCgdt/R3oB6wDXitZRlXnichYYLyqvllKHSOBkQDNW7Qox1qEpKQknhw1mvP7n01hYSHDho+gU2pqhbqaovfBg2u9Dx7CrvfBg2u9Dx5c633w4FrvgwfXeoBhV17OrFkz+HrbNtq2as7d99zLMcc04vZbb2bbV19x8YX9Seuazrj3J3rZB9d6Hzy41vvgIez6RNVh1Dyk/O9vRm1ERPJUtX4p+RuArKLJBBHZAxymqioig4GzVPU6EbkXyAP+BqxW1ZQS9RwCPAn0AfYD7YFWqvrfctoeD4xS1cnBKokWqnqHiPQF7lDVAUG50UA2sBR4SlX7BPkXACNVdUCwciFLVX8uImMoYzIhmszMLJ27oOJnWRuGYRiGUTni/RtUbImyYXhBr55Z5ORkh+qCbN0pTe9/6X3XNirFVVnNc1Q1y7WP0rCVCUY8FEStJiik8ufTFUBjIFNVC4JJisPKKiwijYisMOgiIgrUBVRE7gT2ceDtOmXWYxiGYRiGYRiGAf4/djEMWMwEIxZ2AA0qW1hVdwCbRGQggIgcGjwN4mhgazCRcDpwQgVVDQJeUtUTVLWlqjYH1gO9gc+BTkHdDYEzAs3HQMuoOAhDE9EnwzAMwzAMwzAMwyYTjNI5vMSjIR8O8p8FJkQHYKwEVwE3i8hyYB5wPJE4Clki8hFwNZEv/uUxFHi7RN5bwFBV3Qi8DqwI/l8CoKq7icQ7eC8IwLi1jLpfBe4UkSXxBmA0DMMwDMMwDMOoLVjMBMOoBBYzwTAMwzASi8VMMIyaQVhjJjzwr3DETLgi09+YCbYywTAMwzAMwzAMwzCMmLDJBMMwDMMwDMMwDMMwYsKe5mAYhmEYhmEcdOK9TWFHfkHcHhocfkjcdRhGTSCe247CedO82K1SCcBWJhhGApk0cQJpqe1J7dCWRx95uGJBDdP74MG13gcP8eg3btzI2WeeTre0TmR0TWX0U6MOavuJqiPseh883HDdCFo0a0JmeueYtYloPxF11IRroX3blmSld6FnZjq9esZ+y6zLMdy9ezenntyDHhldyeiayu/v+91Bbb+IZ//yNH16ptO7R1f+9uenAPho+VLO7Xdq8bguWriw2jy41vvgwbU+3jrifT+Mt30f9DdcP4ITko8jK73LAfl//fPTrFq5AhFZKSKPxFyxEW5U1ZIlSxWkjIxMzS/QclPe7n3aqnVrXbXmU92+c4926ZKmi5etrFBXU/Q+eHCt98FDvPrPvtis8xbkaH6B6tZvvte27drZGNbC8yi/QHXytJk6b0GOdkpNjUlXU8bAh2shv0C1xQkn6MYtX8Ws82EMd+3dr199u0PzC1S/37VXs7r30Bmz5yes/a3f760wzfxwsXbo2Ek3/Pc73fzNLu3dt59+uGSVnnb6mfrKm2M1v0D17bHvae8+p3k5hjXhWnKtT0Qd8bwf+jAGldHv2ru/3DRp6gyduyBbO3VKLc77YNJUPb3fGdo1vZuqKkAT13+zVza16pim/168KRQJyHY9XmUlW5lgGAli0cKFtGnTllatW1OvXj0uHTyE8ePerTV6Hzy41vvgIV5906ZN6ZaRAUCDBg3o0KEjmzfnHrT2E1FH2PW+eDi1dx8aNWoUkyaR7bseAx+uhXhxPYYiQv369QEoKChgX0FBTMuKEzGGn6z5mIysHhxxxBEkJSVxSq/evDfuHUSEHTu+B2D79u00bdasWjy41vvgwbU+EXXE836YiPZd6yEYg2MOHIO//+0Zbr/zl9SpE/lKqaplPYrdqKHYZIJhJIjNm3NJSWlevJ+cnEJubuX/8Ay73gcPrvU+eEhEH4r4fMMGli5dQvcePQ9q+67HwLXeFw/xUNPGwNW1AJEv5Oef+2NO6ZHJP/7+bExaH8awsLCQnpnptGjWhH5nnkWPngd3DDt0SuXDeXP45uuv2bVrF1MmTWDzpk088MfHuO+3v6Jtq+b86pd3cP8DD1WLB9d6Hzy41ieqjnhwPQbV1f9PPlnL3DmzWfPxakRkpoh0j7vSg4QQ+SIchuQzvvtzhogcLyKvisinIpIjIu+LyInV2F5fERkfbF8gIndVV1tVRUSaicibwXa6iJwXdexeEbmjEnVsEJGPRGS5iEwSkeNjaL+liFxeNffl1jtDRLx8dqthuCIvL4+hl13Co4//iaOOOsq1HcNwhutrYeqMOcxftJh3xn/A3/76Z+bMnnXQPcRD3bp1WZCzlHUbNpG9aCErV6w4qO2f2L4jN916J5dddB5DLh5A57Su1K1blzHPPcv9Dz3KuvUbeeSxJ/nJyGsPqi/DqAkU7tvHt99+w4ntOwDcCbwuFtWwVmGTCaUQXARvAzNUtY2qZgK/Ao47GO2r6lhVrVp0mWpEVTer6qBgNx04r5zi5XG6qqYB2cCvow9IhLLOy5ZAwicTEkWzZsls2rSxeD83dxPJycm1Ru+DB9d6Hzwkog8FBQUMvewSBg+9goEXXRyT1sawZoxBvNSUMXB9LQDFmiZNmnDBwItYtKjsQIGJ9pDI86hhw4ac1vd0Jk2acNDbv+Lqa5gyawFjJ0yjYcOGtG7bjtdeeYkBF1wEwCWDLiW7jHF1PYY14VpyrU9UHfHgegyqq//NUlK4cODFiAiquhDYDxwbd8VGaLDJhNI5HShQ1WeKMlR1marODr7sPioiK4Jf2AdD8cqCmSLyroh8JiIPi8gVIrIwKNcmKDdGRJ4RkWwRWSsiA0o2LiLDRWR0sH2+iCwQkSUiMkVEjgvy7xWR54Nf1T8TkZuj9FcHv/wvE5GXgrzGIvKWiCwKUq9S2n1PRNKC7SUick+wfb+IXB+sDFghIvWA+4HBIrK0aAyATqX5KYdZQNug3jUi8iKwAmhe2hgDDwO9gzZvFZHDROSfQZklInJ64LeuiDwW6JeLyE1B/hlBuY+CsTu0Eh4rTVb37qxb9wkb1q9n7969vPHaq/QfcEGt0fvgwbXeBw/x6lWVG6+/lvYdOvJ/t95WaV2i2k9EHWHX++IhHmrCGPhwLezcuZMdO3YUb0+ZPInU1MpHk3c9hl999RXfffcdAPn5+UydMpn2kV8wD0r7//MRuY1708YveG/sO1xy6RCOP74p8+ZEVnnMmD6Ntm3bVYsH13ofPLjWJ6qOeHA9BtXV//MvuJCZM6YDEKzgrgdsi7vig4SIhCL5TJJrA57SGcgp49jFRH6V70pk5m2RiBStOewKdAS+AT4DnlPVHiLyf8BNwC1BuZZAD6ANMF1E2pbjZQ5wkqqqiFwH/AK4PTjWgcjERwNgjYj8FTgRuBs4RVW3iUhRpJRRwJOqOkdEWgATA6/RzCbyZf1zYB9QNOHQG7ixqJCq7g0mGrJU9ecQmdwozY+qlvcQ6AHAR8F2O2CYqn4oIpdQ+hjfBdyhqgOCNm+P2NEuItIBmBS8kV1DZIzTVXWfiDQSkcOAMcAZqro2mLj4CfCncvzFRFJSEk+OGs35/c+msLCQYcNH0Ck1tdboffDgWu+Dh3j18+bO5d8vv0TnzpFH0QHc98AfOOfcyi1EsjGsGWMAcPWVQ5k9cwbbtm2jTcsUfnvPfQwfUbml4DVhDHy4FrZ++SWDB0V+Pd9XuI/BQy7nx2efU2m96zH875YtXD9iGIWFhezX/Vwy6DLO6/+D31Cqrf0iRlw5mG+/+ZqkQw7h4cef4uiGDXn86We4+5e3cc9dhRx62GGM/mvp8Shcj2FNuJZc6xNRRzzvh4lo37UeYNiVlzNr1gy+3raNtq2ac/c99zJs+AhuvP5aVq9aCfAqkb/lNaaKjVAj9nr/kOBX9Vaqemspx54EPlLV54P9l4A3gO+B36jqWUH+LOBXqjpXRPoBN6vqQBEZA8yK0s8CbgYaEnxRFpHhBF/URaQL8DjQlMhs33pVPSf48l6gqg8G9awGzgIuAo5X1d+U8L0V2ByV1Rhor6p5UWV6BV5eIDLZcVaQVqlqSxFpCYxX1c7RHgNtqX5UdVMJHxuAHUAhsDyq79NVtVUlxjh6MuFt4GlVnRbszwZ+BvwOeEZVJ0e12zUo2yfYPwP4mapeLCIzgnqzS3gdCYwEaN6iRebaTz/HMAzDMAw/2JFf3u8VlaPB4YckwIlhhJ94vhP2Oqk7i3Oy/f4JvQRtOnXVh/79gWsblWJwt+QcVfUyvputTCidlcCgCkv9kD1R2/uj9vdz4FiXvFrLu3qfBp5Q1bEi0he4t4z2Cin/9axDZIXD7nLKLAKyiKyqmExkVcD1lL1KoySV9XO6qhYvgRKRhsDOSrZx0FDVZ4FnATIzs2zWzTAMwzAMwzAMI8BiJpTONODQ4JdpAEQkTUR6E7kVYHBwX35joA9Q+WhIES4VkToSiaPQGlhTTtmjgaJntwyrpPdLReRHge+i2xwmEbnVgiA/vaRQVfcCG4FLgflE+noHkdgGJdlB5HaG6qCsMS7Z5mzgCii+T6sFkbGcDNwgIknBsUZBfsuoW0quAmZWk3/DMAzDMAzDMDxGQpJ8xiYTSiG41+ci4EyJPBpyJfAQ8F8iT3lYDiwj8sX9F6r63xib+ILIl+MPgBsrWC1wL/CGiORQiYAmqroSeBCYKSLLgCeCQzcDWUFAwlVExUAowWxgq6rmB9spwf8lmU4k4GJ0AMZEUdYYLwcKJRJY8lbgL0AdEfkIeA0Yrqp7gOeIjPHyYAwuD8b4GiJj+RGR1SLPlGzYMAzDMAzDMAzDqBiLmXCQCWImjFfVN117MSpPZmaWzl2QXXFBwzAMwzAOChYzwTASR22MmfBwSGImXGYxEwzDMAzDMAzDMAzDAwTvH7sYBmwy4SCjqsNdezAMwzAMwzAMwzCMeLCYCYZhGIZhGIZhGIZhxIRNJhhGApk0cQJpqe1J7dCWRx95uNbpffDgWu+Dh3j1N1w3ghbNmpCZ3jlmbSLaT0QdYdf74MG13gcPrvU+ePBZ3+DwQypMd9x0A6ltkul7crdSj+/as6/ctOyjlXTP6FqcGjc6iieeeJy7f/MbMtO70DMznQHn/pjNmzd7O4Y+eHCt98GD73rVyqV9+wo5qXsGF194fnFeGBEiX4TDkLxGVS1ZslRBysjI1PwCLTfl7d6nrVq31lVrPtXtO/doly5punjZygp1NUXvgwfXeh88JKIPk6fN1HkLcrRTampMOhtDGwMbAxsDn/T5BRW/n32dV1DptHX7bm3S5Dhdumqdrt/8tX6dV6D5BaqPPTFKr7v+Bm/HwLUH13ofPIRBv3PP/kqlh/74mF46eKiec27/4rxuGZnq+m/1WFObTmn61tLNoUhAtuvxKit5P9lhGGFh0cKFtGnTllatW1OvXj0uHTyE8ePerTV6Hzy41vvgIRF9OLV3Hxo1ahSTJpHtux4D13ofPLjW++DBtd4HD2HXQ3zvZyWZNWMaLVu3pnmLEzjqqKOK83ft2llmIDcfxsC1B9d6HzyEXV9E7qZNTPjgfYZfc23MWqNmYpMJhpEgNm/OJSWlefF+cnIKubm5tUbvgwfXeh88JKIP8WBjaGOQCL0PHlzrffAQdn2i+c+br3HxoMHF+w/c+1vatmrOq6+8zG/vvb9UjQ9j4NqDa70PHsKuL+IXd9zKgw/9kTp17CukEcHOBI8RkYEioiLSoZwyM0TkB88dFZHhIjI62L5RRK4up46WInJ51H6WiDyVAP99RWS7iCwVkeUiMkVEmlSgKfadgPbfF5GGiajLMAzDMIzay969e5nw3nguvGhQcd7d9/6edes3MmToFTzzl4T86WIY3vLBe+Np3Lgx3TIyXVtJGCISiuQzNpngN0OBOcH/VUZVn1HVF8sp0hIonkxQ1WxVvTmeNqOYrarpqpoGLAJ+lqB6K0RVz1PV7ypTViLEdT00a5bMpk0bi/dzczeRnJxca/Q+eHCt98FDIvoQDzaGNgaJ0PvgwbXeBw9h1yeSKZMmkJbejSbHHfeDY4OHXsE7b79Vqs6HMXDtwbXeBw9h1wPMnz+X994bR8cTWzHsqqHMnDGNEcOviqkOo+ZhkwmeIiL1gVOBa4EhUfmHi8irIrJaRN4GDo86do2IrBWRhUCvqPx7ReSOYLttsEJgmYgsFpE2wMNA72AFwa3BioLxIlJHRDZE/7ovIp+IyHEi0lhE3hKRRUEqbq+M/gjQAPg22D9SRJ4XkYUiskRELowq3kxEJgRtPRJVx19FJFtEVorIfUHeOSLyRlSZviIyPtjeICLHBtu3iciKIN0S5LUUkTUi8iKwAmhOHGR17866dZ+wYf169u7dyxuvvUr/ARfUGr0PHlzrffCQiD7Eg42hjUEi9D54cK33wUPY9YnkP2+8xsWX/u8Wh0/XfVK8PX7su5zYvvRFpD6MgWsPrvU+eAi7HuD+Bx7ik882snrtel546RVO69uP58e8FFMdRs0jybUBo0wuBCao6loR+VpEMlU1B/gJsEtVO4pIGrAYQESaAvcBmcB2YDqwpJR6XwYeVtW3ReQwIhNKdwF3qOqAoK6+AKq6X0TeBS4C/ikiPYHPVfVLEfk38KSqzhGRFsBEoGMp7fUWkaXAj4CdwK+D/N8A01R1RDBZsVBEpgTH0oFuwB5gjYg8raobgd+o6jciUheYGvR/CvCsiBypqjuBwcCr0QZEJBO4BuhJ5EkwC0RkJpGJjXbAMFX9sMxXopIkJSXx5KjRnN//bAoLCxk2fASdUlNrjd4HD671PnhIRB+uvnIos2fOYNu2bbRpmcJv77mP4SMqF2zJxtDGIBF6Hzy41vvgIex6iO/9rIidO3cyY/oUnnjqL8V599/zG9Z9spakunVoccIJPPXnZ6qlD3Ye2Rj4oK+p+H0DQTgQ1ZA+HLSGE/y6PkpVJ4vIzUALVb1DRN4BnlLVaUG5xcBIIAW4WFWvDvJvBk5U1Z+LyL1AHvA3YLWqppRoqy8/nEy4Q1UHiMgpwD2qeo6IPAmsUtW/i8hWIPqhyo2B9qqaV069vwRaqeqNIpINHAbsC4o3As4m8oW/l6peH2g+AB4MJi1uDPqaBDQFblLVV0XkWWAa8CbwGZCqqjtEZAOQBVwB/EhV7wnq/D3wFTAWmK6qrcp4DUYG7dG8RYvMtZ9+XloxwzAMwzBCyq49+youVA5HHGq/yxk1g/37q/6d8NSTu7M4JztU383bpnbVx16Z6NpGpbioa9McVf1BjDwfsHdADxGRRkA/oIuIKFAXUBG504Gd+UBbEWkMDAQeCPLrACep6u4Y6hoLFN1UKMAlqromukCw+mFPVFYhkCQirYA7gO6q+q2IjCEyGQGRlQg/B74h8hzWHTF42lnWAVV9FngWIDMzy2bdDMMwDMMwDMMwAixmgp8MAl5S1RNUtaWqNgfWA72BWQTBEkWkM5AWaBYAp4nIj0TkEODSkpUGX7I3icjAQH+oiBwB7CASz+AHaGTpytvAE0RWNXwdHJoE3FRUTkTSK9GvU4FPg+2JwE1BLAVEpFsF2qOIfPHfLiLHAedGHZsJZADXU+IWh4DZwEAROUJEjiRy28bsSvg1DMMwDMMwDMMwSsFWJvjJUOCPJfLeCvJvIxK/YDWwGsgBUNUtwe0M84HvgKVl1H0V8DcRuR8oIDLpsBwoFJFlwBh+GGvhNSJPYhgelXcz8GcRWU7kPJoF3FhKe0UxE4RILIfrgvzfA38ClgdPUVgPDCjDM6q6TESWAB8DG4G5UccKg9tChgPDStEuDlYyLAyynlPVJSLSsqz2DMMwDMMwDMOouXj+1MVQYDETDKMSZGZm6dwF2a5tGIZhGIaRQCxmgmFEqI0xEx5/NRwxEwam+RszwW5zMAzDMAzDMAzDMAwjJmw61TAMwzAMwzAMw6g1CFDHHg4ZN7YywTAMwzAMwzAMwzCMmLCVCYZhGIZhGEatJN6YB/HGHhOLAGd4Qp06VT8X7SyuvdjKBMNIIJMmTiAttT2pHdry6CMPH3T9DdeNoEWzJmSmd45Zm4j2E1FH2PU+eAi73gcPrvU+eHCt98GDa70PHsKu98HDDdeP4ITk48hK71Kc98033zDg3B/TuWM7+p9zFt9++221tZ+IOsKu98FD2PWJqsMnRMKRvEZVLVmyVEHKyMjU/AItN+Xt3qetWrfWVWs+1e0792iXLmm6eNnKCnWJ0ucXqE6eNlPnLcjRTqmpMekS1b7rMXCt98FD2PU+eHCt98GDa70PHlzrffAQdv3B8LBr7/4K06SpM3Tugmzt1Cm1OO/W2+7Q+x/4g+YXqN7/4EN62x2/CO0Y+K73wUPY9RXVkZGRqa7/Vo81te2UpuM++m8oEpDterzKSrYywTASxKKFC2nTpi2tWremXr16XDp4COPHvXvQ9ACn9u5Do0aNYrWesPZdj4FrvQ8ewq73wYNrvQ8eXOt98OBa74OHsOt98XBq7z40OubAz+bx48ZyxVXDALjyqmGMG/tOtbXvegxc633wEHZ9ouowah42mWAYCWLz5lxSUpoX7ycnp5Cbm3vQ9PGSiPZdj4FrvQ8ewq73wYNrvQ8eXOt98OBa74OHsOt98VAaW7d+SdOmTQE4/vjj2frll9XWvusxcK33wUPY9Ymqw6h52GSCcVAQkUIRWSoiy0RksYicEqP+XhG5I9geLiLNoo49JyKdEu3ZMAzDMAyjuhERC8RoGAcdCc0/n7HJBONgka+q6araFfgV8FAcdQ0HiicTVPU6VV0Vp7+4adYsmU2bNhbv5+ZuIjk5+aDp4yUR7bseA9d6HzyEXe+DB9d6Hzy41vvgwbXeBw9h1/vioTSaNDmOLVu2ALBlyxYaN2lSbe27HgPXeh88hF2fqDqMmodNJhguOAooDlssIneKyCIRWS4i90Xl/0ZE1orIHKB9kDcIyAJeDlY6HC4iM0QkKzieJyKPishKEZkiIj2C45+JyAVBmbpBmaI2b0hEp7K6d2fduk/YsH49e/fu5Y3XXqX/gAsOmj5eEtG+6zFwrffBQ9j1PnhwrffBg2u9Dx5c633wEHa9Lx5Ko//55/PySy8A8K+XXmDA+RdWW/uux8C13gcPYdcnqg6j5hHfw3UNo/IcLiJLgcOApkA/ABH5MdAO6EHkMbVjRaQPsBMYAqQTOU8XAzmq+qaI/By4Q1Wzgzqi2zkSmKaqd4rI28ADwFlAJ+AFYCxwLbBdVbuLyKHAXBGZpKrroysSkZHASIDmLVpU2MGkpCSeHDWa8/ufTWFhIcOGj6BTamqlByhePcDVVw5l9swZbNu2jTYtU/jtPfcxfMS1B61912PgWu+Dh7DrffDgWu+DB9d6Hzy41vvgIex6XzwMu/JyZs2awdfbttG2VXPuvudebr/zLq66fDAvjHmeFi1O4F+vvF5t7bseA9d6HzyEXZ+oOnzD7i6KH1FV1x6MWoCI5Klq/WD7ZOA5oDPwKDAI+C4oWp/ILRANgEaqek+geQLYrKqPicgMDpxMKN4XkT3AYaqqInI/sEdVHxSROsA3qtpQRN4E0oBdQZtHAzeo6qSy/GdmZuncBdmJGg7DMAzDMGoA8f4dbbESjJpAr55Z5ORkh+pkbpearqNeL/NPf6/o3/m4HFXNcu2jNGxlgnHQUdX5InIs0JjIaoSHVPVv0WVE5JYqVl+g//tk3w/sCdrcLyJF57sAN6nqxCq2YRiGYRiGYRiGUauxmAnGQUdEOgB1ga+BicAIESlatZAsIk2AWcDAICZCA+D8qCp2EFm5UFUmAj8RkUOCNk8UkSPjqM8wDMMwDMMwDKNWYSsTjINFUcwEiKwMGKaqhcAkEekIzA+W+uUBV6rqYhF5DVgGbAUWRdU1BnhGRPKBk6vg5TmgJbBYIo1+BQysQj2GYRiGYRiGYYQMAep4/tjFMGCTCcZBQVXrlnNsFDCqlPwHgQdLyX8LeCsqq2/UsfpR2/eW0NUP/t8P/DpIhmEYhmEYhmEYRozYbQ6GYRiGYRiGYRiGYcSErUwwDMMwDMMwDMMwag9ij4ZMBDaZYBiGYRiGYRhVIN5HO9qjJQ3DCDN2m4NhJJBJEyeQltqe1A5tefSRh2ud3gcPrvU+eAi73gcPrvU+eHCt98GDa70PHsKu98FDvPq1a9bQM6tbcTruR0cz+qk/HVQPYdf74CHs+kTVYdQwVNWSJUsVpIyMTM0v0HJT3u592qp1a1215lPdvnOPdumSpouXraxQV1P0PnhwrffBQ9j1PnhwrffBg2u9Dx5c633wEHa9Dx4q0u/auz+mtCO/QJscd5x+/Ml63bV3vxd98F3vg4ew6yuqIyMjU13/rR5rapfaVSeu2hqKBGS7Hq+ykq1MMIwEsWjhQtq0aUur1q2pV68elw4ewvhx79YavQ8eXOt98BB2vQ8eXOt98OBa74MH13ofPIRd74OHRPQhmunTptK6dRtanHDCQfMQdr0PHsKuT1QdRs3DJhMMI0Fs3pxLSkrz4v3k5BRyc3Nrjd4HD671PngIu94HD671PnhwrffBg2u9Dx7CrvfBQyL6EM0br7/KpYOHxKRx3QfXeh88hF2fqDqMmodNJhgHBREpFJGlUemuamzrfhE5s7rqNwzDMAzDONjs3buX98eP4+JLLnVtxTAMA7CnORgHj3xVTU9UZRIJXyyqur/kMVW9J1HtxEKzZsls2rSxeD83dxPJycm1Ru+DB9d6HzyEXe+DB9d6Hzy41vvgwbXeBw9h1/vgIRF9KGLihA9I75bBcccdF5POdR9c633wEHZ9ourwDcGehhIvtjLBcIaIHC0ia0SkfbD/iohcH2zfKSKLRGS5iNwX5LUMyr8IrACai8gvReQjEVkmIg8H5caIyKBg+2ERWRXU81iQ11hE3grqXyQivRLRn6zu3Vm37hM2rF/P3r17eeO1V+k/4IJao/fBg2u9Dx7CrvfBg2u9Dx5c633w4Frvg4ew633wkIg+FPHGa7Hf4pAID2HX++Ah7PpE1WHUPGxlgnGwOFxElkbtP6Sqr4nIz4ExIjIKOEZV/y4iPwbaAT0AAcaKSB/giyB/mKp+KCLnAhcCPVV1l4g0im5QRH4EXAR0UFUVkYbBoVHAk6o6R0RaABOBjiUNi8hIYCRA8xYtKuxgUlIST44azfn9z6awsJBhw0fQKTW1suMTer0PHlzrffAQdr0PHlzrffDgWu+DB9d6HzyEXe+Dh0T0AWDnzp1MmzqZp//yTMxa131wrffBQ9j1iarDqHmIqrr2YNQCRCRPVeuXcexZ4BKgq6puClYQDAK+C4rUBx4CpgLTVbVVoHsc+FhV/16ivjHAeOAdICdI44HxqrpXRLYCm6MkjYH2qppXlv/MzCyduyA7pj4bhmEYhmGUR7x/h0fu+jQMt/TqmUVOTnaoTsb2ndP1L29OcW2jUpzZsXGOqma59lEatjLBcIqI1CGyKmAXcAywichqhIdU9W8lyrYEdla2blXdJyI9gDOITE78HOhH5Paek1R1dyL6YBiGYRiGYRiGUduwmAmGa24FVgOXA/8UkUOI3HYwQkTqA4hIsog0KUU7GbhGRI4IypW8zaE+cLSqvh+00zU4NAm4KapcekJ7ZBiGYRiGYRiGUcOxlQnGwaJkzIQJwD+B64AeqrpDRGYBd6vq70SkIzA/WL6XB1wJFEZXqKoTgomAbBHZC7wP/DqqSAPgXRE5jMhqh9uC/JuBP4vIciLXwCzgxkR21jAMwzAMwzAMoyZjkwnGQUFV65ZxqGNUmduitkcRCZRYks4l6n0YeLhE3vCo3R6leNkGDK7QtGEYhmEYhmEYNRJ7NGT82G0OhmEYhmEYhmEYhmHEhE0mGIZhGIZhGIZhGIYRE3abg2EYhmEYhmE4IN5HOxbuj/8R73Xr2FJvo3ZiT1aNH1uZYBgJZNLECaSltie1Q1sefeThigU1TO/aw8aNGzn7zNPpltaJjK6pjH6qtLAb1dd+ouqIV3/DdSNo0awJmemdKy5cDe3XhDF0rffBg2u9Dx5c633wEHZ9vO+HifDgWv+TkSNomXIc3bt1Kc5bvmwpp/c+mZO7d6NXzywWLVzodR/sWnKvT8S1ZFQvIlJXRJaIyPhgv5WILBCRdSLymojUC/IPDfbXBcdbVrlRVbVkyVIFKSMjU/MLtNyUt3uftmrdWlet+VS379yjXbqk6eJlKyvU1RS9Dx4++2KzzluQo/kFqlu/+V7btmtX68Ygv0B18rSZOm9BjnZKTY1J54t/1x5c633w4FrvgwfXeh88hF2fXxDf+6EPfahIn7dnf4VpwpQZOufDbO3YKbU4r98ZZ+l/3n1P8/bs17fHvqe9+5wW2jEIg4ew6yu6ljIyMtX13+qxphNTu+q0j7eFIgHZlekTkSfX/RsYH+y/DgwJtp8BfhJs/xR4JtgeArxW1XG0lQmGkSAWLVxImzZtadW6NfXq1ePSwUMYP+7dWqP3wUPTpk3plpEBQIMGDejQoSObN+cetPYTUUciPJzauw+NGjWKSZOo9mvCGLrW++DBtd4HD671PngIux7iez9MhAfXeoiMwTHHHDgGIsL3O74HYPv27TRt1szbPti15F4P8V9LPiIh+VepvoikAP2B54J9AfoBbwZFXgAGBtsXBvsEx8+QKt5zZZMJhpEgNm/OJSWlefF+cnIKubmV/yIbdr0vHor4fMMGli5dQvcePQ9q+z6NQVXwwb9rD671PnhwrffBg2u9Dx7Crk8ErvtQXWPwx8ee5O5f/YL2bVrwq1/ewf0PPFRtHlzrffAQdr0RCv4E/ALYH+z/CPhOVfcF+5uA5GA7GdgIEBzfHpSPGZtMMEKLiBSKyFIRWSkiy0TkdhGpExzLEpGnKtCni8h5B8etcTDJy8tj6GWX8Ojjf+Koo45ybccwDMMwvOK5Z//Kw48+wZpPv+CRx57kJyOvdW3JMIyyOVZEsqPSyOiDIjIA2KqqOQfbmD3NwQgz+aqaDiAiTYjcI3QU8DtVzQayK9CnA1nA+4kw06xZMps2bSzez83dRHJycjmKmqX3xUNBQQFDL7uEwUOvYOBFF8ekrSljEA8++HftwbXeBw+u9T54cK33wUPY9YnAdR+qawz+/a8XefSJSJDiSwZdyk9vuK7aPLjW++Ah7HrDOdtUNauc472AC4IfSQ8j8n1oFNBQRJKC1QcpQNFylFygObBJRJKAo4Gvq2LMViYYNQJV3QqMBH4uEfpGRTI9UkSeF5GFQYTTC4NopvcDg4PVDYPj9ZDVvTvr1n3ChvXr2bt3L2+89ir9B1xQa/Q+eFBVbrz+Wtp36Mj/3XpbTN4T0X4i6kiEh3jwwb9rD671PnhwrffBg2u9Dx7Crk8ErvtQXWNwfNNmzJ41E4AZ06fRtm07b/tg15J7fU1EgDoSjlQRqvorVU1R1ZZEAipOU9UrgOnAoKDYMKAoUMbYYJ/g+DQNojHGiq1MMGoMqvqZiNQFmpQ49BsiF8kIEWkILASmAPcAWar680S0n5SUxJOjRnN+/7MpLCxk2PARdEpNrTV6HzzMmzuXf7/8Ep07d6FnZjoA9z3wB845t3J3s9SEMQC4+sqhzJ45g23bttGmZQq/vec+ho+o3BJWH/y79uBa74MH13ofPLjW++Ah7HqI7/3Qhz4kYgyGX3U5s2fN4Ott2zixdXN+89t7Gf3XZ/nF7bewb98+DjvsMEb/9Vlv+2DXkns9xH8tGU74JfCqiDwALAH+EeT/A3hJRNYB3xCZgKgSUsVJCMNwjojkqWr9EnnfAe2BjsAdqjpARLKJLPkpCkDSCDgb6Ek5kwnB/UgjAZq3aJG59tPPq6UfhmEYhmEYVaFwf/x/x9etzE+fhlEOvXpmkZOTHaoTqUPndH32P9Nc26gUp7X/UU4Ftzk4w1YmGDUGEWkNFAJbiUwmFB8CLlHVNSXKlxvmX1WfBZ4FyMzMslk3wzAMwzAMw6gRVP6xi0bZWMwEo0YgIo2BZ4DRpdzzMxG4qej5qSLSLcjfATQ4eC4NwzAMwzAMwzBqBjaZYISZw4seDUkkBsIk4L5Syv0eOARYHpT9fZA/HeiUqACMhmEYhmEYhmEYtQW7zcEILapat5xjM4AZwXY+cEMpZb4BuleTPcMwDMMwDMMwfERA7C6HuLGVCYZhGIZhGIZhGIZhxIRNJhiGYRiGYRiGYRiGERM2mWAYhmEYhmEYhmEYRkzYZIJhJJBJEyeQltqe1A5tefSRh2ud3gcPrvU+eAi73gcPrvU+eHCt98GDa70PHsKu98FDderr1pFKpamTJ9KtSwfSOrXjicf+eMCxylJYWMhJWd24+MIBCe3DwdD74CHs+t27d3PqyT3okdGVjK6p/P6+38Vch29ISJLXqKolS5YqSBkZmZpfoOWmvN37tFXr1rpqzae6fece7dIlTRcvW1mhrqboffDgWu+Dh7DrffDgWu+DB9d6Hzy41vvgIex6Hzy41ieqjvwC1YcfeVwvGzJUzz2vf6heAx88hF2fX6C6a+9+/erbHZpfoPr9rr2a1b2Hzpg9X/MLVDMyMtX13+qxpvad03XO2m9CkYBs1+NVVrKVCYaRIBYtXEibNm1p1bo19erV49LBQxg/7t1ao/fBg2u9Dx7CrvfBg2u9Dx5c633w4Frvg4ew633w4FqfqDo2bdrEhA/e45oR18WkS0T7PoxBbdcDiAj169cHoKCggH0FBYg9DqHWY5MJhpEgNm/OJSWlefF+cnIKubm5tUbvgwfXeh88hF3vgwfXeh88uNb74MG13gcPYdf74MG1PlF13Hn7LTz40CPUqRP7V4eaMAa1XV9EYWEhPTPTadGsCf3OPIsePXvGXIcvCFBHJBTJZ2wyIUSIyEARURHpEJXXUkRWVLG+DSJybAzlh4vI6DKOnSsi2SKySkSWiMjjVfFkGIZhGIZh+MP7742nSeMmZGRmurZiOKZu3bosyFnKug2byF60kJUrqvQVxKhB2GRCuBgKzAn+9wYR6QyMBq5U1U5AFrDOravYEZG68eibNUtm06aNxfu5uZtITk6uNXofPLjW++Ah7HofPLjW++DBtd4HD671PngIu94HD671iahj/ry5jB8/lvZtW3L1FUOYMX0a11x95UFr34cxqO36kjRs2JDT+p7OpEkTqlyHUUNwHbTBUuUSUB/IBU4E1kTltwRWBNt1gceAFcBy4KYg/wxgCfAR8DxwaJC/AbgPWBwc6xDkNwLeCer4EEgL8ocDo0vx9iIwogzfLYFpQV1TgRZB/hjgKWAe8BkwKMhvCswClgb96B3k50XVOQgYE1XPXwOfnwF9gz6uLioTlPsxMD/o6xtA/agx+GOQP6Ss8a9MAMYd+QXaslUrXb32s+LgNjlLV1Q6sE3Y9T54cK33wUPY9T54cK33wYNrvQ8eXOt98BB2vQ8eXOsTVUdRmjhleswBGGvCGNR2fX6B6hebt+qWr77V/ALVb77fpaf0OlXfemec5heEMwBjh87pOu+Tb0OR8DgAY1LlphwMD7gQmKCqa0XkaxHJVNWcEmVGEvnynq6q+0SkkYgcRuQL9xmB9kXgJ8CfAs02Vc0QkZ8CdwDXEZlgWKKqA0WkH5HJgvRyvHUGyrqt4WngBVV9QURGEJlAGBgcawqcCnQAxgJvApcDE1X1wWClwBEVDQxwDHAycEFQT6+gH4tEJB3YBNwNnKmqO0Xkl8BtwP2B/mtVzahEO+WSlJTEk6NGc37/syksLGTY8BF0Sk2tNXofPLjW++Ah7HofPLjW++DBtd4HD671PngIu94HD671iaojHmrCGNR2PcB/t2zh+hHDKCwsZL/u55JBl3Fe/9gfE+oTfkcjCAcS/DpreI6IjAdGqepkEbmZyC/8d4hIS2C8qnYWkbeAZ1R1cpSuK/C0qvYJ9s8AfqaqF4vIBqCXquaKSE/gQVU9U0SWAJeo6meBZiOQClwMZKnqz0t4Wwxco6rLSvG9DWiqqgUicgiwRVWPFZExwGRVfTkot0NVG4hIHyIrC/4FvKOqS4PjeapaP9geBAxQ1eHR9YhIayITEe2Cci8C/wH2EZlQ2RTYqgfMV9VrgzE4TVU/L8X7SCITNDRv0SJz7ac/KGIYhmEYhmEYtZpePbPIyckO1Xfzjl266T/fnu7aRqU4ud0xOaqa5dpHadjKhBAgIo2AfkAXEVEitzOoiNyZgOr3BP8XUvXzYSWQCfxgMqGSbUMwOaiqs4IJhf7AGBF5QlVfBKJnvQ4ro579JercT6RPhUQmHMqKNbGztExVfRZ4FiAzM8tm3QzDMAzDMAzDMAIsAGM4GAS8pKonqGpLVW0OrAd6lyg3GbhBRJKgeBJiDdBSRNoGZa4CZlbQ3mzgiqCOvkRuhfi+nPKPAr8WkRMDTR0RuTE4Ng8YEmxfEdRdJiJyAvClqv4deA4ouv3gSxHpKCJ1gIsq8F+SD4FeRWMgIkcWeTUMwzAMwzAMoxYiIUkeY5MJ4WAo8HaJvLf44VMdngO+AJaLyDLgclXdDVwDvCEiHxH5tf6ZCtq7F8gUkeXAw8Cw8gqr6nLgFuAVEVlNJHBi6+DwTcA1QV1XAf9XQdt9gWXBrRaDgVFB/l3AeCKTE1sqqKOkv6+IBI98JfAxn0icBsMwDMMwDMMwDKMKWMwEw6gEmZlZOndBtmsbhmEYhmEYhuEVoY2Z8E5IYia0tZgJhmEYhmEYhmEYhuEF4vs9BCHAbnMwDMMwDMMwDMMwDCMmbDLBMAzDMAzDMAzDMIyYsMkEw0ggkyZOIC21Pakd2vLoIw/XOr0PHlzrffAQdr0PHlzrffDgWu+DB9d6HzyEXe+DB9f66vagqhWmkdddQ4tmTcjs2rk47603XicjLZUj6tUhJ7v8uFS+j0Ft0CeqDqOGUZk3AEuWanvKyMjU/AItN+Xt3qetWrfWVWs+1e0792iXLmm6eNnKCnU1Re+DB9d6HzyEXe+DB9d6Hzy41vvgwbXeBw9h1/vgwbX+YHjYtXd/hWnS1Bk6d0G2duqUWpy3eNlKXfrRau3d5zSdM39RqMegpusrqiMjI1Nd/60ea+rQOV0XfPpdKBKQ7Xq8ykq2MsEwEsSihQtp06YtrVq3pl69elw6eAjjx71ba/Q+eHCt98FD2PU+eHCt98GDa70PHlzrffAQdr0PHlzrffFwau8+NDqm0QF5HTp25MT27Q9K+67HIOz6RNVh1DxsMsEwEsTmzbmkpDQv3k9OTiE3N7fW6H3w4Frvg4ew633w4FrvgwfXeh88uNb74CHseh88uNb74iEeasIYhF2fqDqMmodNJtQyROQ3IrJSRJaLyFIR6XmQ2h0uIqOrUy8ifUXklCrUvUFEjq2qN8MwDMMwDMMwwoWEJPlMkmsDxsFDRE4GBgAZqron+AJdz7GtYkQkSVX3xVFFXyAPmJcYR7HRrFkymzZtLN7Pzd1EcnJyrdH74MG13gcPYdf74MG13gcPrvU+eHCt98FD2PU+eHCt98VDPNSEMQi7PlF1GDUPW5lQu2gKbFPVPQCquk1VNwOISKaIzBSRHBGZKCJNReRoEVkjIu2DMq+IyPXBdl5RpSIySETGBNvni8gCEVkiIlNE5LjyDInIvSLykojMBV4SkcYi8paILApSr1I0P2hDRFoCNwK3BisuepdVl4j8SEQmBSs0niNBk35Z3buzbt0nbFi/nr179/LGa6/Sf8AFtUbvgwfXeh88hF3vgwfXeh88uNb74MG13gcPYdf74MG13hcP8VATxiDs+kTVYdQ8bGVC7WIScI+IrAWmAK+p6kwROQR4GrhQVb8SkcHAg6o6QkR+DowRkVHAMar69wramAOcpKoqItcBvwBur0DTCThVVfNF5N/Ak6o6R0RaABOBjhW1oaq3i8gzQJ6qPgZQTl2/A+ao6v0i0h+4tsKRqwRJSUk8OWo05/c/m8LCQoYNH0Gn1NRao/fBg2u9Dx7CrvfBg2u9Dx5c633w4Frvg4ew633w4Frvi4dhV17OrFkz+HrbNtq2as7d99zLMcc04vZbb2bbV19x8YX9Seuazrj3J1ZL+67HIOz6RNVh1DxEVV17MA4iIlIX6A2cDtwA3AVkE7k14LOgWF1gi6r+ONA8C1wCdFXVTUFenqrWD7YHAQNUdbiIdAEeJ7IKoh6wXlXPEZHhQJaq/ryEn3sBVdX7gv2twOaoIo2B9sCgIn05bdzLgZMJZdU1B7hYVT8Lyn0DnKiq20p4GwmMBGjeokXm2k8/r9wgG4ZhGIZh1BLi/S4h4vtd4UZF9OqZRU5OdqheyI5duumLY2e4tlEperRumKOqWa59lIatTKhlqGohMAOYISIfAcOAHGClqp5csryI1CHya/4u4BhgU1FVUcUOi9p+GnhCVceKSF/g3krY2hm1XYfIqoPdJXxE71a2jcrUVSaq+izwLEBmZpbNuhmGYRiGYRiGYQRYzIRahIi0F5F2UVnpwOfAGqBxEKARETlERIrWLd0KrAYuB/4Z3BIB8KWIdAwmGy6KqvNooOg5McOqYHMScFOU5/RSypTVxg6gQSXqmkWkP4jIuUQmSQzDMAzDMAzDMIxKYpMJtYv6wAsiskpElhOJVXCvqu4lchvBH0VkGbAUOCUIvHgdcLuqzibyJfzuoK67gPFEbo/YEtXGvcAbIpIDHHDbQCW5GcgKHl25ikhQxZKU1cY44KKiAIzl1HUf0EdEVgIXA19UwadhGIZhGIZhGCEk8tjFcPzzGYuZYBiVIDMzS+cuyHZtwzAMwzAMwyssZoIRxpgJnbp00xfHznRto1J0b320tzETbGWCYRiGYRiGYRiGYRgxYQEYDcMwDMMwDMMwjNqDgC2KiR9bmWAYhmEYhmEYhmEYRkzYygTDMAzDMAzDMKpEvDEPCvfHF3Ohbh37edkwXGErEwwjgUyaOIG01PakdmjLo488XOv0PnhwrffBQ9j1PnhwrffBg2u9Dx5c633wEHa9Dx5c633wEK/+JyNH0DLlOLp361Kc99HyZfTrcwpZ6V24ZOD5fP/99173Iez6G64bQYtmTchM7xyz1qjBqKolS5YqSBkZmZpfoOWmvN37tFXr1rpqzae6fece7dIlTRcvW1mhrqboffDgWu+Dh7DrffDgWu+DB9d6Hzy41vvgIex6Hzy41vvgoSJ93p79FaYJU2bonA+ztWOn1OK8jMws/WDydM0vUH3m2X/oXb++O7Rj4Ls+v0B18rSZOm9BjnZKTf3BsYyMTHX9t3qsqWOXdM1Zvz0UCch2PV5lJVuZYBgJYtHChbRp05ZWrVtTr149Lh08hPHj3q01eh88uNb74CHseh88uNb74MG13gcPrvU+eAi73gcPrvU+eEhEH07t3Ydjjml0QN66T9Zyau8+APQ78yzeefstb/sQdj1EXoNGjRpVXNCoVdhkgmEkiM2bc0lJaV68n5ycQm5ubq3R++DBtd4HD2HX++DBtd4HD671PnhwrffBQ9j1PnhwrffBQyL6UBodO6UyfmzkC/F/3nyDTRs3VpuH2q43jLKwyYQaioj8RkRWishyEVkqIj0TUGdfERlfSv4FInJXvPUHdZ0kIgsCz6tF5N6otk+ppMcKyxmGYRiGYRjh5S9/+wd//9tfOaVHJnl5O6hXr55rS0bYkJAkj7GnOdRARORkYACQoap7RORYoNreYVV1LDA2QdW9AFymqstEpC7QPsjvC+QB8yrQV7ZcwmnWLJlNm/43K56bu4nk5ORao/fBg2u9Dx7CrvfBg2u9Dx5c633w4Frvg4ew633w4Frvg4dE9KE02nfowNj3J1K3jvDJ2rV88P571eahtusNo0xcB22wlPgEXAyMK+PYBuAhYCmQDWQAE4FPgRuDMgI8CqwAPgIGB/l9gfHBdndgCdAGGA6MDvLHAE8R+TL/GTAoyK8D/AX4GJgMvF90rIS/b4EmJfJaAv8FcgPfvYHzgQWBhynAcWWUGxPdDpAX/N8UmBWUWwH0Lm9MKxOAcUd+gbZs1UpXr/2sOLhNztIVlQ5sE3a9Dx5c633wEHa9Dx5c633w4FrvgwfXeh88hF3vgwfXeh88VKSvTADGvD37deWazw4IwPjZxv9q3p79unNPoV5+xVX6zLP/CO0Y+K4vSh9/sr5mBWDcsD0UCY8DMNrKhJrJJOAeEVlL5Iv2a6o6M+r4F6qaLiJPEvmy3Qs4jMiX6meITEakA12BY4FFIjKrSBzcRvA0cKGqfiEivUu03xQ4FehAZMXCm0GdLYFOQBNgNfB8Kd6fBNaIyAxgAvCCqm4QkWeITAQ8Fng4BjhJVVVErgN+oaq3l1Lu2jLG6HJgoqo+GKyAOKJkAREZCYwEaN6iRRnV/I+kpCSeHDWa8/ufTWFhIcOGj6BTamqFupqi98GDa70PHsKu98GDa70PHlzrffDgWu+Dh7DrffDgWu+Dh0T0YfhVlzN71gy+3raNE1s35ze/vZe8vDz+/sxfQODCgRdz9fBrvO1D2PUAV185lNkzZ7Bt2zbatEzht/fcx/ARZf2ZbdQWJPiV1qhhBF+QewOnAzcAd6nqGBHZAPRS1VwRGQGcrKrXB5ovgDTgd8BHqvp8kP8S8AbwPfAPIB/4sapuDo4PB7JU9eciMgaYrKovB8d2qGoDEfkTsExV/xnk/wf4t6q+WYr3NsCPgSGAqmrfIHZC9CRBF+BxIhMX9YD1qnpOKeXGEFlN8Wawn6eq9UWkD5HJjH8B76jq0vLGMzMzS+cuyK7EyBuGYRiGYRiVpXB/fN9F6tbx/KbyWkCvnlnk5GSH6oXolJahL4+bWXFBD8hoeVSOqma59lEaFoCxhqKqhao6Q1V/B/wcuCTq8J7g//1R20X7Fa1W2QLsBrqVUya6zpjfWFT1U1X9K3AG0FVEflRKsaeJ3FrRhchkyWFlVLeP4DwXkToEsSNUdRbQh8gtEWNE5OpYfRqGYRiGYRiGYdRWbDKhBiIi7UWkXVRWOvB5DFXMBgaLSF0RaUzkS/fC4Nh3QH/gIRHpG0Odc4FLRKSOiBxHJP5Cad77i0jRBEQ7oDBocwfQIKro0UQmAgCGReWXLLcByAy2LwAOCdo5AfhSVf8OPEckdoRhGIZhGIZhGIZRCSxmQs2kPvC0iDQk8sv8OoJ7/yvJ28DJwDJAicQj+K+IdABQ1S9FZADwQXCrRGV4i8hKg1XARmAxsL2UclcBT4rIrsD7FapaKCLjgDdF5ELgJuBe4A0R+RaYBrQK9CXL/R14V0SWEYnBsDMo1xe4U0QKiDz9wVYmGIZhGIZhGEYtQUJ1Y4afWMwE46AhIvVVNS+4bWEhkdgN/3XtqzJYzATDMAzDMIzEYzETwk9YYyb8e3w4YiZ0O8HfmAm2MsE4mIwPVkvUA34flokEwzAMwzAMwzAM40BsMsE4aKhqX9ceDMMwDMMwDMOo3QhViBJv/ACbTDAMwzAMwzAMwwnx3qaQiFu2xW6eN4wqYU9zMIwEMmniBNJS25PaoS2PPvJwrdP74MG13gcPYdf74MG13gcPrvU+eHCt98FD2PU+eHCt98GDa/0N14/ghOTjyErvUpz3zTffMODcH9Ol04n0P+csvv32W6/74Fq/e/duTj25Bz0yupLRNZXf3/e7mOswaiCqasmSpQpSRkam5hdouSlv9z5t1bq1rlrzqW7fuUe7dEnTxctWVqirKXofPLjW++Ah7HofPLjW++DBtd4HD671PngIu94HD671Pniobv2uvfsrTJOmztC5C7K1U6fU4rxbb7tD73/gD7pr7369/8GH9LY7fhHaMTgY59Guvfv1q293aH6B6ve79mpW9x46Y/Z8zS9QzcjIVNd/q8eaOnXppks//z4UCch2PV5lJVuZYBgJYtHChbRp05ZWrVtTr149Lh08hPHj3q01eh88uNb74CHseh88uNb74MG13gcPrvU+eAi73gcPrvU+eHCtBzi1dx8aHdPogLzx48ZyxVXDALjyqmGMG/uOt31wrYfIrSD169cHoKCggH0FBeG/PURCkjzGJhMMI0Fs3pxLSkrz4v3k5BRyc3Nrjd4HD671PngIu94HD671PnhwrffBg2u9Dx7CrvfBg2u9Dx5c68ti69Yvadq0KQDHH388W7/8sto8hF1fRGFhIT0z02nRrAn9zjyLHj17xlyHUbOwyYQajIgUishSEVkmIotF5JQgv6WIrEhQGzNE5AfPPQ3y14jIchH5WERGB4+FTCgiMlBEOkXt3y8iZya6HcMwDMMwDKNmIiLh/5X9IFC3bl0W5Cxl3YZNZC9ayMoVCfk6YYQYm0yo2eSrarqqdgV+BTx0kNu/QlXTgDRgDxDbeqrKMRAonkxQ1XtUdUo1tFMhzZols2nTxuL93NxNJCcn1xq9Dx5c633wEHa9Dx5c633w4FrvgwfXeh88hF3vgwfXeh88uNaXRZMmx7FlyxYAtmzZQuMmTarNQ9j1JWnYsCGn9T2dSZMmVLkOH5CQ/PMa10EbLFVfAvKiti8F3gm2WwIrgu3DgH8CHwFLgNMryD8ceBVYDbwNLACySml7RnQ+UBdYD3QN9m8DVgTplihfq4G/AyuBScDhwbHrgUXAMuAt4AjgFOCboN6lQBtgDDAo0JwReP8IeB44NMjfANwHLA6OdahoLCsTgHFHfoG2bNVKV6/9rDi4Tc7SFZUObBN2vQ8eXOt98BB2vQ8eXOt98OBa74MH13ofPIRd74MH13ofPFS3vjIBGHft3a+r1352QADGW267/YAAjLfefmdox+BgnEdfbN6qW776VvMLVL/5fpee0utUfeudcZpfEN4AjMu+2BGKhMcBGJOqMgFhhIbDRWQpkYmBpkC/Usr8DFBV7SIiHYBJInJiOfk/AXapakcRSSPyhbxCVLVQRJYBHUQkCbgG6EkkrMgCEZkJfAu0A4aq6vUi8jpwCfAv4D+q+ncAEXkAuFZVnxaRscB4VX0zOEbw/2FEJhbOUNW1IvJi4P1PgaVtqpohIj8F7gCuq0w/yiMpKYknR43m/P5nU1hYyLDhI+iUmlpr9D54cK33wUPY9T54cK33wYNrvQ8eXOt98BB2vQ8eXOt98OBaDzDsysuZNWsGX2/bRttWzbn7nnu5/c67uOrywbww5nlatDiBf73yurd9cK0H+O+WLVw/YhiFhYXs1/1cMugyzus/IKY6jJqHBL/UGjUQEclT1frB9snAc0Bn4AQiX8A7i8jbwNOqOi0oN5vIRMJ9ZeTfDzwVlb8YGKmq2SXangHcEZ0vIu8C/waOB36kqvcE+b8HvgLGApNVtV2Q/0vgEFV9QEROAx4AGgL1gYmqeqOIjOHAyYQxwHjgk8B/nyD/DOBnqnqxiGwAeqlqroj0BB5U1R/EWRCRkcBIgOYtWmSu/fTzmMbfMAzDMAzDqF4S8V3G4iXER6+eWeTkZIdqEFPTMvSV92a5tlEpurZokKOqP4hR5wMWM6GWoKrzgWOBxi7aF5G6QBcitzGUx56o7UIoXj0zBvi5qnYhMtFxWJyWitqJbuMAVPVZVc1S1azGxzoZNsMwDMMwDMMwqgGRcCSfscmEWkJwq0Jd4OsSh2YDVwRlTgRaAGvKyZ8FXB7kdyYSXLGitg8hEvxxo6ouD+oeKCJHiMiRwEVBXnk0ALYEdV0Rlb8jOFaSNUBLEWkb7F8FzKzIq2EYhmEYhmEYhlExFjOhZlMUMwEisQmGBbELosv8BfiriHwE7AOGq+oeESkr/6/AP0VkNZFVBjnltP+yiOwBDgWmABcCqOri4HaEhUG551R1iYi0LKeu3xIJ9vhV8H/RBMKrwN9F5GZgUFFhVd0tItcAbwQxGhYBz5RTv2EYhmEYhmEYhlFJLGaCYVSCzMwsnbsgu+KChmEYhmEYxkHDYia4J6wxE157PxwxE7o0t5gJhmEYhmEYhmEYhmHUEGwywTAMwzAMwzAMwzCMmLCYCYZhGIZhGIZhGEbtQYJkxIWtTDCMBDJp4gTSUtuT2qEtjz7ycK3T++DBtd4HD/HoN27cyNlnnk63tE5kdE1l9FOjDmr7iaoj7HofPNxw3QhaNGtCZnrnmLWJaD8RdYRd74OHsOt98OBa74OH6tSLSKXS5EkT6dq5A507tuOxR/94wLH9+7XcNPK6a2jerAkZXTsX5105dDA9MtPpkZlO+7Yt6ZmZ7mwMKkO87+nx6o0aiqpasmSpgpSRkan5BVpuytu9T1u1bq2r1nyq23fu0S5d0nTxspUV6mqK3gcPrvU+eIhX/9kXm3XeghzNL1Dd+s332rZdOxvDWnge5ReoTp42U+ctyNFOqakx6WrKGLjW++Ah7HofPLjW++DBtb4ydezcs7/cNHHKDJ3zYbZ27JRa6vGbb7lNf/u7+7weg3je0yvSZ2Rkquu/1WNNndK66UebdoQiAdmux6usZCsTDCNBLFq4kDZt2tKqdWvq1avHpYOHMH7cu7VG74MH13ofPMSrb9q0Kd0yMgBo0KABHTp0ZPPm3IPWfiLqCLveFw+n9u5Do0aNYtIksn3XY+Ba74OHsOt98OBa74MH1/pE1HFq7z40Oqb090NV5a03X+eywUOrrX3X7+mJ0Bs1E5tMMIwEsXlzLikpzYv3k5NTyM2t/JewsOt98OBa74OHRPShiM83bGDp0iV079HzoLbvegxc633xEA81YQxc633wEHa9Dx5c633w4FqfqDrKYu6c2RzX5DjatmtXbe27fk+vqUhI/vmMTSYYcSMihSKyNCrd5dhPSxG53KUHwwg7eXl5DL3sEh59/E8cddRRru0YhmEYhpe88dorXDqk7FUJhlGTsac5GIkgX1XTXZuIoiVwOfDvygpEJElV98XTaLNmyWzatLF4Pzd3E8nJybVG74MH13ofPCSiDwUFBQy97BIGD72CgRddHJPWxrBmjEG81IQxcK33wUPY9T54cK33wYNrfaLqKI19+/bx7rtvM29BTrW27/o93TDKwlYmGNWGiGwQkftEZLGIfCQiHYL8+iLyzyBvuYhcEuQPDfJWiMgfo+rJi9oeJCJjgu0xIvKUiMwTkc9EZFBQ7GGgd7BK4lYRqSsij4rIoqC9GwJ9XxGZLSJjgVXx9jere3fWrfuEDevXs3fvXt547VX6D7ig1uh98OBa74OHePWqyo3XX0v7Dh35v1tvq7QuUe0noo6w633xEA81YQxc633wEHa9Dx5c633w4FqfqDpKY9rUKbRv34GUlJRqbd/1e3pNRACRcCSfsZUJRiI4XESWRu0/pKqvBdvbVDVDRH4K3AFcB/wW2K6qXQBE5BgRaQb8EcgEvgUmichAVX2ngrabAqcCHYCxwJvAXcAdqjogqH9k0F53ETkUmCsikwJ9BtBZVdfH0X8AkpKSeHLUaM7vfzaFhYUMGz6CTqmptUbvgwfXeh88xKufN3cu/375JTp37lL8mKv7HvgD55x73kFpPxF1hF3vi4errxzK7Jkz2LZtG21apvDbe+5j+IhrD1r7rsfAtd4HD2HX++DBtd4HD671iahj2FWXM3vWDL7eto12rZtz92/vZdg11/LmG69x6WVDqr191+/pidAbNRNRVdcejJAjInmqWr+U/A1AL1XNFZGewIOqeqaI5ABDVPWTqLIXApeo6tXB/rVAqqreFl1/sPpggKoOD1YoTFbVl4NjO1S1gYj05cDJhDeBNGBX0NzRwA3AXuB3qnp6Gf0aCYwEaN6iRebaTz+PY5QMwzAMwzAMH9m/P77vQ3XqeP7zcTXTq2cWOTnZoRqEzl0z9PUPZru2USlSk+vnqGqWax+lYbc5GNXNnuD/Qqq+Eib6Hf6wMuoHygx3KsBNqpoepFaqWrQyYWeZjao+q6pZqprV+NjGsbs2DMMwDMMwDMOoodhkguGCycDPinZE5BhgIXCaiBwrInWBocDMoMiXItJRROoAF1Wi/h1Ag6j9icBPROSQoL0TReTIBPTDMAzDMAzDMIwQIiFJPmOTCUYiOLzEoyEfrqD8A8AxQaDFZcDpqrqFSKyD6cAyIEdV3w3K3wWMB+YBWyrhZzlQKCLLRORW4DkiARYXi8gK4G9YvBDDMAzDMAzDMIwqY1+ojLhR1bpl5LeM2s4G+gbbecCwUsq/ArxSSv6bRAIrlswfXmK/fvB/AdCvRPFfBymaGUEyDMMwDMMwDMMwYsAmEwzDMAzDMAzDMIzahe/3EIQAu83BMAzDMAzDMAzDMIyYsMkEwzAMwzAMwzAMwzBiwiYTDCOBTJo4gbTU9qR2aMujj1QUh7Lm6X3w4Frvg4ew633w4FrvgwfXeh88uNb74CHseh88uNb74MG1vqI66tSRCtOUyRNJ79KBLp3a8fhjfzzgmKpWmL799luGXjaIrqkdSO/ckQ/nzys+djDGwIfzyDckJP+8pjInvyVLtT1lZGRqfoGWm/J279NWrVvrqjWf6vade7RLlzRdvGxlhbqaovfBg2u9Dx7CrvfBg2u9Dx5c633w4Frvg4ew633w4FrvgwfX+oPhYdfe/RWmK668Wv/8zLO6a+9+/S5vt27e+k3xMdf+460jIyNTXf+tHmtKTeumqzfvDEUCsl2PV1nJViYYRoJYtHAhbdq0pVXr1tSrV49LBw9h/Lh3KxbWEL0PHlzrffAQdr0PHlzrffDgWu+DB9d6HzyEXe+DB9d6Hzy41vvgYfv27cyZM4vh11wLQL169WjYsGFo/CeqDqPmYZMJhpEgNm/OJSWlefF+cnIKubm5tUbvgwfXeh88hF3vgwfXeh88uNb74MG13gcPYdf74MG13gcPrvU+eNiwfj3HHtuYG64bwUndM/jJDdexc+fOg9a+D2No1ExsMsGIGREpFJGlIrJSRJaJyO0iUic4liUiT1WhzpYisqKMY8+JSKdge4OIHBtsz4vSXh5VvkoeDMMwDMMwDCPR7Cvcx9Ili7nuhhv5cNFijjzySB6rATEHwo5IOJLP2GSCURXyVTVdVVOBs4Bzgd8BqGq2qt6cyMZU9TpVXVVK/inBZkvg8qj8hHuoDM2aJbNp08bi/dzcTSQnJ9cavQ8eXOt98BB2vQ8eXOt98OBa74MH13ofPIRd74MH13ofPLjW++AhOTmF5JQUevToCcBFFw9i6dIlB619H8bQqKG4DtpgKXwJyCux3xr4GhCgLzA+yD8NWBqkJUADoD4wFVgMfARcGJRtCXwMvAysBt4EjgiOzQCygu0NwLHRPoAPge1BO7eW8HAk8DywMPBQ1F5qkLcUWA60K6/PlQnAuCO/QFu2aqWr135WHJgmZ+mKSge2CbveBw+u9T54CLveBw+u9T54cK33wYNrvQ8ewq73wYNrvQ8eXOsPhofKBGA8pdepuvSj1bpr73799d336C233V7pAIy+j2FYAzB+vGVnKBIeB2BMSsB8hFHLUdXPRKQu0KTEoTuAn6nqXBGpD+wO8i9S1e+D2xU+FJGxQX574Nqg/PPAT4HHKmHhLuAOVR0AICJ9o479BpimqiNEpCGwUESmADcCo1T1ZRGpB9SNsds/ICkpiSdHjeb8/mdTWFjIsOEj6JSaWmv0PnhwrffBQ9j1PnhwrffBg2u9Dx5c633wEHa9Dx5c633w4Frvi4fHn3yKa4ZdScHevbRs1Zq/Pfd8qPwnog7f8PwOglAgwa+0hlFpRCRPVeuXyPuOyGRAR4Iv9iJyF3ARkdUG/1HVTSJyCPAk0AfYH2haAYcBs1S1RVBfP+BmVR0oIjOCOrNFZAORVQrbinwEkwclJxOKPGQHde8LrDYCzga6EZloeDHw9kkp/RwJjARo3qJF5tpPP49v4AzDMAzDMIwaR7zfp8T3G+MroFfPLHJyskPVic5dM/Q/E+e4tlEp2jc9MkdVs1z7KA2LmWDEjYi0BgqBrdH5qvowcB1wODBXRDoAVwCNgUxVTQe+JPJlH6DkO3EiZroEuEQjMR7SVbWFqq5W1X8DFwD5wPvB5MWBjas+q6pZqprV+NjGCbBiGIZhGIZhGIZRM7DJBCMuRKQx8AwwWktMy4pIG1X9SFX/CCwCOgBHA1tVtUBETgdOiJK0EJGTg+3LgcpOF+4gEo+hNCYCN0kw5Ssi3YL/WwOfqepTwLtAWiXbMgzDMAzDMAzDqPVYzASjKhwuIkuBQ4jcPvAS8EQp5W4JJgz2AyuBD4h86R8nIh8B2USCLhaxBvhZEC9hFfDXSvpZDhSKyDJgDJFAi0X8HvgTsDx4fOV6YABwGXCViBQA/wX+UMm2DMMwDMMwDMMIO6G6McNPbDLBiBlVLTNYoarOIPL0BVT1plKK7AFOLiUfIisXSquzb9R2y6jt+sH/BUDJ2xSKPOQDN5RS58OAPeDXMAzDMAzDMAyjCthtDoZhGIZhGIZhGIZhxIStTDAMwzAMwzAMwzBqDQKI3ecQN7YywTAMwzAMwzAMwzCMmLCVCYZhGIZhGIZhGFUkeGhYlSnxQLSD3r5hVBVbmWAYCWTSxAmkpbYntUNbHn0ktviON1w3ghbNmpCZ3tlJ+4nQ++DBtd4HD2HX++Ah3uuxJoyBa70PHlzrffAQdr0PHlzrffDgWu+Dh7g/l64fwQnJx5GV3qU475tvvmHAuT+mc8d29D/nLL799ttqa3/37t2cenIPemR0JaNrKr+/73cx1+EVAhKS5DWqasmSpQpSRkam5hdouSlv9z5t1bq1rlrzqW7fuUe7dEnTxctWVqgrSpOnzdR5C3K0U2pqpTWJbD9evQ8eXOt98BB2vS8e4rkea8IYuNb74MG13gcPYdf74MG13gcPrvU+eKhIv2vv/grTpKkzdO6CbO3UKbU479bb7tD7H/iD5heo3v/gQ3rbHb+otjHctXe/fvXtDs0vUP1+117N6t5DZ8yer/kFqhkZmer6b/VYU+eu3fSTL3eFIgHZrserrGQrEwwjQSxauJA2bdrSqnVr6tWrx6WDhzB+3LuV1p/auw+NGjVy1n68eh88uNb74CHsel88xHM91oQxcK33wYNrvQ8ewq73wYNrvQ8eXOt98JCwz6VjDvxcGj9uLFdcNQyAK68axrix71Rb+yJC/fr1ASgoKGBfQYHdXmHYZIJhJIrNm3NJSWlevJ+cnEJubm5o2k+Ef9ceXOt98BB2vS8e4qEmjIFrvQ8eXOt98BB2vQ8eXOt98OBa74OH6vpc2rr1S5o2bQrA8ccfz9Yvv6zW9gsLC+mZmU6LZk3od+ZZ9OjZs2rGjRqDTSYYBx0RySuxP1xERlexrr4iMj5q+5SoY2NEZFB8bg3DMAzDMAzDb0Sk2lcK1K1blwU5S1m3YRPZixaycsWKam2vupGQpAr7IdJcRKaLyCoRWSki/xfkNxKRySLySfD/MUG+iMhTIrJORJaLSEZVxg9sMsGoWfQFTqmoUHXRrFkymzZtLN7Pzd1EcnJyaNpPhH/XHlzrffAQdr0vHuKhJoyBa70PHlzrffAQdr0PHlzrffDgWu+Dh+r6XGrS5Di2bNkCwJYtW2jcpMlBab9hw4ac1vd0Jk2aUOU6jISyD7hdVTsBJwE/E5FOwF3AVFVtB0wN9gHOBdoFaSTw16o2bJMJhleISGMReUtEFgWpV5DfQ0Tmi8gSEZknIu1L6FoCNwK3ishSEekdHOoTlP+saJWCiLwoIgOjtC+LyIXxes/q3p116z5hw/r17N27lzdee5X+Ay6It9qD1n4i/Lv24Frvg4ew633xEA81YQxc633w4Frvg4ew633w4FrvgwfXeh88VNfnUv/zz+fll14A4F8vvcCA80v/czYR7X/11Vd89913AOTn5zN1ymTat+8Ql38jMajqFlVdHGzvAFYDycCFwAtBsReAgcH2hcCLGuFDoKGINK1K20nxGDeMKnK4iCyN2m8EjA22RwFPquocEWkBTAQ6Ah8DvVV1n4icCfwBuKSoAlXdICLPAHmq+hiAiFwLNAVOBToEbbwJ/AO4FXhHRI4mspphWEmTIjKSyGwdzVu0qLBTSUlJPDlqNOf3P5vCwkKGDR9Bp9TUyo4JV185lNkzZ7Bt2zbatEzht/fcx/AR11ZaH2/78ep98OBa74OHsOt98RDP9VgTxsC13gcPrvU+eAi73gcPrvU+eHCt98FDIvow7MrLmTVrBl9v20bbVs25+557uf3Ou7jq8sG8MOZ5WrQ4gX+98nq1tf/fLVu4fsQwCgsL2a/7uWTQZZzXf0BMdXhHDYwfGfzA2g1YABynqluCQ/8Fjgu2k4GNUbJNQd4WYkRUtcpmDaMqiEieqtaP2h8OZKnqz0VkK7A5qnhjoD1wDPAUkeU4Chyiqh1EpC9wh6oOEJF7OXAyYQwwWVVfDvZ3qGqDYHslkdsiLgHaquod5XnOzMzSuQuy4+y5YRiGYRiGYRxIvN/HXD9VoVfPLHJyskP11bxLeoa+M3muaxuVom2TIz4HtkVlPauqz5YsJyL1gZnAg6r6HxH5TlUbRh3/VlWPCeLNPayqc4L8qcAvVTXmLzu2MsHwjTrASaq6OzozCNA4XVUvCmbcZlSyvj3R1URtvwhcCQwBrqmyW8MwDMMwDMMwjOpjm6pmlVdARA4B3gJeVtX/BNlfikhTVd0S3MawNcjPBZpHyVOCvJixmAmGb0wCbiraEZH0YPNo/neSDy9DuwNoUMl2xgC3AKjqqtgsGoZhGIZhGIZhuEciS1P+AaxW1SeiDo3lf7dyDwPejcq/Oniqw0nA9qjbIWLCJhMM37gZyAoeU7KKSFBFgEeAh0RkCWWvqBkHXFQiAGOpqOqXRIKT/DNBvg3DMAzDMAzDCAUSmn+VoBdwFdAv+B60VETOAx4GzhKRT4Azg32A94HPgHXA34GfVnUU7TYH46ATHS8h2B9DZKUAqroNGFyKZj5wYlTW3UH+DIJbHlR1LZAWVWZ2We2KyBFE4i+8UsVuGIZhGIZhGIZhOCWIfVDWrMMZpZRX4GeJaNtWJhi1juBpEKuBp1V1u2s/hmEYhmEYhmEYYcNWJhi1DlWdApzg2odhGIZhGIZhGG5w/BCMGoFNJhiGYRiGYRiGYTgi3kc7Fu6P79GSAHXr2DdrI3bsNgfDSCCTJk4gLbU9qR3a8ugjD1csqGF6Hzy41vvgIex6Hzy41vvgwbXeBw+u9T54CLveBw+u9T54cK33wYNr/aaNGzn3x/3I7JpKVnpn/vz0KAD+89YbZKV35oh6dcjJzq5WD0YNRFUtWbJUQcrIyNT8Ai035e3ep61at9ZVaz7V7Tv3aJcuabp42coKdTVF74MH13ofPIRd74MH13ofPLjW++DBtd4HD2HX++DBtd4HD671Pniobn3env0VpnUbcnXOh9mat2e/btm2Xdu2baeLlq7Q7KUrdfHy1dq7z2k6Z/6iKnnIyMhU13+rx5q6dM3Q9V/lhyIB2a7Hq6xkKxMMI0EsWriQNm3a0qp1a+rVq8elg4cwfty7FQtriN4HD671PngIu94HD671PnhwrffBg2u9Dx7CrvfBg2u9Dx5c633w4FoPcHzTpqR3ywCgQYMGtO/QkS25uXTo2JET27c/KB6MmodNJhhGgti8OZeUlObF+8nJKeTm5tYavQ8eXOt98BB2vQ8eXOt98OBa74MH13ofPIRd74MH13ofPLjW++DBtb4kn2/YwLJlS8jq0dOZB6NmYJMJNQwRKRSRpSKyUkSWicjtIlLu6ywiLUXk8iq2N1BEVEQ6VM1x/IjI/cHjHhGRDSJybCll7hWROw6+O8MwDMMwDMPwg7y8PK4YMog/PvYkRx11lGs7RsixyYSaR76qpqtqKnAWcC7wuwo0LYEqTSYAQ4E5wf9OUNV7NPK4R6c0a5bMpk0bi/dzczeRnJxca/Q+eHCt98FD2PU+eHCt98GDa70PHlzrffAQdr0PHlzrffDgWu+DB9f6IgoKCrhi8CAGD7mcCwdeHJM2UR68QkKSfMZ10AZLiU1AXon91sDXRE7FlsBsYHGQTgnKfAhsB5YCt5ZVrpS26gO5wInAmqj8usBjwApgOXBTkN8dmAcsAxYCDYKyjwKLgrI3BGWbArMCTyuA3kHZMcH+R8CtQdkxwKBgewPwSHB8IdA2yL8XuCPYbgNMAHKCfnaoaFwrE4BxR36BtmzVSlev/aw4ME3O0hWVDq4Tdr0PHlzrffAQdr0PHlzrffDgWu+DB9d6HzyEXe+DB9d6Hzy41vvgobr1lQnAuGN3oQ694ir96c9vLvV4RQEYy/MQ2gCM2/JDkfA4AGNSzLMPRqhQ1c9EpC7QBNgKnKWqu0WkHfAKkAXcReSL9gAAETmijHIluRCYoKprReRrEclU1RxgJJEJiXRV3ScijUSkHvAaMFhVF4nIUUA+cC2wXVW7i8ihwFwRmQRcDExU1QcD/0cA6UCyqnYOfDYso9vbVbWLiFwN/AkYUOL4s8CNqvqJiPQE/gL0q/SglkFSUhJPjhrN+f3PprCwkGHDR9ApNbXW6H3w4Frvg4ew633w4FrvgwfXeh88uNb74CHseh88uNb74MG13gcPrvUA8+fN5ZWXXyK1cxdO7t4NgHvvf5A9e/dwx603s+2rr7j4wv6kdU1n3PsTq8WDUfOQ4Jdao4YgInmqWr9E3ndAe2A3MJrIl/JC4ERVPUJE+nLgZMLRpZUrpa3xwChVnSwiNwMtVPUOEXkLeEZVJ0eV7RLk9SpRx5tAGrAryDoauCHw+jzwL+AdVV0qIscA2cD7wHvAJFXdLyJjgPGq+qaIbAD6BZMohwD/VdUfici9QB7wDPAVsCbKxqGq2rGU/o0kMjFC8xYtMtd++nnJIoZhGIZhGIbhlML98X+fq1un6uvpe/XMIicn2/cF+QeQlp6p46bOc22jUrQ89rAcVS3th13n2MqEGo6ItCYyIbCVSOyEL4GuROJl7C5DdmtF5USkEZFf87uIiBK5BUFF5M5YLRK5DeIHU6Ai0gfoD4wRkSdU9UUR6QqcDdwIXAaMKKVOLWOboD/fqWp6RcZU9VkiqxjIzMyyWTfDMAzDMAzDMIwAC8BYgxGRxkR+iR+tkSUoRwNbVHU/cBWRCQCAHUTiFxRRVrloBgEvqeoJqtpSVZsD64nENpgM3CAiSYGPRkRWAjQVke5BXoPg+ETgJ8EqAkTkRBE5UkROAL5U1b8DzwEZwVMa6qjqW8DdQEYZXR8c9f/86AOq+j2wXkQuDdqTYILCMAzDMAzDMAzDqCS2MqHmcbiILAUOAfYBLwFPBMf+ArwVxBKYAOwM8pcDhSKyjEgww7LKRTMU+GOJvLeC/JuIBGVcLiIFwN9VdbSIDAaeFpHDicRLOJPIREFLYLGICJFbEAYCfYE7A30ecDWQDPwz6lGXvypjDI4RkeXAHkp/ysQVwF9F5O5gnF4lEhTSMAzDMAzDMAzDqAQWM8EwKkFmZpbOXZDt2oZhGIZhGIZhHIDFTIidtPRMHT8tHDETTviRvzET7DYHwzAMwzAMwzAMwzBiwiYTDMMwDMMwDMMwDMOICYuZYBiGYRiGYRiGYdQqQnVfhqfYygTDqAT79ivf7txbbho+fDgpTZuQnpZanHfrbbfRuVN7undL47JBF/Hdd98V1/nR8uWcdurJZHRNJSu9C9ddM4wWzZqQmd65uMw333xD/3POonOHdpx39ll8/fU37N+vZaZRTz5BRloqGV07c9UVQ9m1K7/c8iXT06P+REbXzmSkpfLUn5484Fhl2LhxI2efeTrd0jqR0TWV0U+Ninms27dtSVZ6F3pmptOr5/9uD1PVSqUifY/MdE7pmVVpXVEaed01kdeha+fivLfeeJ2MtFSOqFeHnOzyY2fccN2IH7yOsVCevnC/ViqNvO4amjdrQkbXzsV5VwwdTI/MdLpnpHNim5Z0z0hn997CH6Tvvt9Jr5O6k9WtK93SUvndPb9l995CRgwfRvu2reiZmU7PzHSWLV1abj++++47hg4eRNfOHUjv0pEP588vt3xJJk2cQFpqe1I7tOXRRx4uzi/Yt7/CtCNvF71O6kH3jEgf7v3dPRTs28+11wyjQ9tW9MhMp0dmOkuWLCl3HPcW7KNnVjcuumAAhfuV60YM/4G+rGvpi8+/iFwLXTqRkZbK06P+xP79yptvvE5G14rPpXjPIyj7WoqFwsJCTsrqxsUXDohJt3v3bk49uQc9MrqS0TWV39/3uyq1X9Z5cLD01Xk9V+Y9uazzaNu2ryOfDR3b0f+cs/jmm29KfT/b+MWB+tFP/Smm98M1H39cfL73yEynSaOjeHrUk8XHK0O852F5r2FlxvDj1T/sQ/TnW0WU9hr+6pd30rVzh1I/22PtQ7xjUBniPY8T8dkerwfXY5CI97R4PFT0GtStIxWmn468llYpx9Ejo0upx9vd8m656UddzuTIoxrS4LgTivOSB/yCBk1asHhxDiLygwtcRFqISJ6I3BGVd46IrBGRdSJyV8yDYXiFTSYYRoIYfPlVvPzmuAPy+px+BtPnL2HRkuW0a3cij/7xIQD27dvHiGFX8vSfn2HxspVMnDqDq4YN593xEw7QP/bIw/TtdwbLV62lb79+PP5o2R+gm3Nz+eufn2b2/EVkL/mI/YWFvPH6q5X2v3LlCv75/HPMmruAD7OX8sH77/HpunUxjAAkJSXx8COPs2T5KmbO+ZC/PfNnVq9aFVMdABOmTGdBzlKqGvTyg8nTWJC9hLkfLopZe9XVw3ln/AcH5HVK7cwrr7/Fqb37VKwv5XWMqf049QBXXDWcd8Yd2IcXX36V+YuWMPvDHC648CLOv3BgqdpDDz2Ud9+fwpwFi5k1P4epkyeyaOGHANz/4B9ZkLOUBTlL6ZqeXq6HO279P37843NYtuJjFuYso0PHjpX2X1hYyC03/4x3x33AkuWreOPVV2I6jw499FDGT5jCvIVLmLtgMVMmTWThgkgffv+HPzJ/0RLmL1pCWtfy+/CXp0fRvsOBvh94+BE+XLSEDxctoWs5+rpJSfzhj4+Rs2wl02fP59ln/sLq1avo1Kkzr77+nwrPpUScBxD/tTT6qVG0j+G1K+LQQw9lwuRpLFy8jAXZS5k0cQILPvwwpjriPQ/i1YP767ms8+jxRx+m7+n9+GjVWvqe3o/Hy/hyVTcpiYceeYzFy1cyY858/vbXv8Q0Bie2b8+C7CUsyF7CvAXZHH7EEVxw4UUx96Oq52EiXsMT27cvvmbnfhh7H0p7Dc848yxylq74wWd7dfTBh/M4EZ/t8XjwYQwS8Z4WjwfXrwHAkR37cez59xyQd0ijFvzo3LuQQw4rS/YEUPwHiYjUBf4MnAt0AoaKSKcqmzKcY5MJhpEgTurVm2OOOeaAvL79ziIpKXI3UY+eJ5G7aRMAUyZPonOXNNK6dgXgRz/6Eaf1PZ1GjRodoB8/7l2uvGoYAFdcOYzxY98t18O+wn3k5+ezb98+du3aRdOmzSrtf83Hq+neowdHHHEESUlJ9O7Th3ff+U+l9QBNmzalW0YGAA0aNKBDh45s3pwbUx2uObV3Hxodc+Dr0KFjR05s377y+hKvY8ztx6EvquOYY0qvQ1V5+z9vcsmlQ0o9LiLUr18fgIKCAgoK9hF5amvl2b59O3PmzGL4iGsBqFevHg0bNqy0ftHChbRp05ZWrVtTr149Lh08hPHjyj/3y+vDvn0FMfchd9MmJnzwPsOuuTYmXRFNmzalW7f/XQvtO3Rkc25upc+lRJwH8bJp0yYmfPAe14y4LmbtD16Dgthfg3jPg3j14P56Lus8em/cWK4o+my4ahjjyvhsKFVfxffk6dOm0rp1G1qccEKV9FUhEa9hNFXpQ2mv4Zln/bjUz/bSqAnncSI+2+Px4MMYJOI9LR4Prl8DgEObpVLn0PoH5B3SqDmHHJNcankRGQisB1ZGZfcA1qnqZ6q6l8jj2S+ssql4EJCQJJ+xyQTDOEi8OOZ5zj7nXAA+WbsWEeH8887m5O4ZPP7YI6Vqtn75JU2bNgXg+OOPZ+vWL8usv1lyMv93y+10aHsCbU5oxlFHH82ZZ/240v46derMvDlz+Prrr9m1axcTJ3xA7qaNMfTwQD7fsIGlS5fQvUfPmHQiwvnn/phTemTyj78/G3O7ReN6Ss8s/vFc7Pqazry5s2nS5DjatG1XZpnCwkJ6n5TJiS2b0rffGWR1j7yGD9z3W7p3S+PO229lz549Zeo3rF/Pscc2ZuS113BSVjd+MvI6du7cWWmPmzfnkpLSvHg/OTmF3NzY/mgqLCykV88M2rQ4ntP7nVl8Ht5/72/pmdmVX95Rfh9+ccetPPDQH6lT58CPyfvvuZsemV35RQX6aD7fsIFly2K/FuIl3mvpzttv4cGHHvnBGFSWwsJCemam06JZE/qdeRY9esbW/3jPg0ScRz4RfR5t3Vr5z4bS9FXhjddf5dLBpU9Clkc852GiX8M333iVSy+LvQ/lEf3ZXho17Tyu6md7PPgyBvG+pyUKF69BrIhIfeCXwH0lDiUD0X9cbgryjJBikwnGQUVEVET+FbWfJCJficj4Smjzgv9bisjlUflZIvJUBdqWIrIiHu/x8MeHHqRuUhJDLr8CiKwgmDdvDv988WWmzpzD2HfeZvq0qeXWISLlzoJ/++23jB8/lpVrPmPdhlx27dzJK//+V5nlS9KhY0duu+MXXND/bAaefy5paV2pU7dupfXR5OXlMfSyS3j08T9x1FFHxaSdOmMO8xct5p3xH/C3v/6ZObNnxaSfMn028xfm8M6493n2r3+JWV/TeeuN17jk0sHllqlbty6zP8xh5drPWZyziFUrV3DPfQ+ycMlK5ny4iG+/+YbHH/1jmfp9+/axdMlirr/hJ3yYvYQjjjySx6pwj2s81K1bl7kLFrN63RfkZEf6cO/9fyBn2SpmzVvIt99+yxOPld6HD94bT+PGjemWkXlA/n2//wOLP1rN7Ar00eTl5XH5kEE88tiTMV8L8RLPtfT+e+Np0rgJGZmZFRcug7p167IgZynrNmwie9FCVq5w9hYceso7jyr6bCjSDx1c9fNw7969vD9+HBdfcmnM2njf0xNFUR8uqkIfyqLkZ3tNJ57P9pqAD+9pIXoN7gWeVNU810aM6sUmE4yDzU6gs4gcHuyfBcQ6vdwSKJ5MUNVsVb05MfYSz2svv8j7741nzIsvF//Bl5ycwqmn9uHYY4/liCOO4Jxzz2PJksU/0DY57ji2bNkCwJYtW2jcuEmZ7UyfNoWWLVvSuHFjDjnkEC4YeBEL5s+Lyeuwa65l7ofZTJo6k4bHHEO7difGpIfI8r+hl13C4KFXMPCii2PWJydHJqibNGnCBQMvYtGihVXWn3/hQLJj1Ndk9u3bx/h33+aiQZdVqvzRDRvSu09fpk6eyPFNmyIiHHrooVw9/JpyxzU5JYXklJTiX20uumQQS0s5v8uiWbNkNkWtisnN3VT8usZKw4YN6X1aX6ZMOrAPV149nJxFpcfU+HD+XN5/bxydTmzF8KuGMnPGNK4dftUB+quuHk52GfoiCgoKuHzwIAYPuZwLB8Z+LcRLPNfS/HlzGT9+LO3btuTqK4YwY/o0rrn6yir5aNiwIaf1PZ1Jk2K7Vzfe8yCR55FLSjuPmjSp/GdDkX7I0Mur9J4MMHHCB6R3y+C4446LWRvPeZjI13DShA/oml61PpTGSy+M+cFne2nUlPM43s/2ePBlDIqo6ntavLh8DapAT+AREdkA3AL8WkR+TuRv/uZR5VKI/XuA4RE2mWC44H2gf7A9FHil6ICI3Fsi4usKEWlZQv8w0FtElorIrSLSt2hlQ6B/SUTmi8gnInJ9ycZFpK6IPCoii0RkuYjckOgOFjF9ykT+8tTjvPn2WI444oji/LN+fDYrV3zErl272LdvH7NnzaRjxx/Gn+k/4AL+9dILALz8rxfof/4FZbbVvHkLFi1YwK5du1BVZkyf9oPgcRWxdetWADZ+8QVj33mby4ZcXoHiQFSVG6+/lvYdOvJ/t94WkxZg586d7Nixo3h7yuRJpKZWPupxSf3UKZPpFIO+pjN96hTatW9PcnJKmWW2ffUV24PI5Pn5+UyfFtH8N/jioqqMffedcsf1+OOPJyWlOWvXrAFgxrSpdCjl/C6LrO7dWbfuEzasX8/evXt547VX6T+g7HO/tD58F92HqT/sw/ix79ApNbVU/X0PPMTazzayau16xrz0Cqf17cc/xrx0gH5cOfqiMj+54Trad+jAzbfEfi3ES7zX0u8ffIhPN2xizboNvPjyq/Q9vR//fLHyK52+KvEaTJ0ymfbtO8TUh3jPg3j1PlDWeXTegPN5ueiz4aUXGFDGZ4Oq8pOR8Z+Hb7xWtVsc4j0PE/kaVvU2jdKYNHECTzz+yA8+20ujJpzH8X62x4sPY5CI97R4cP0axIqq9lbVlqraEvgT8AdVHQ0sAtqJSCsRqQcMAca6cyohSf5ikwmGC14FhojIYUAasCBG/V3AbFVNV9UnSzmeBvQDTgbuEZGSUQivBbaranegO3C9iLSK0cMP+Mm1V3H+j0/j00/WktmpNf9+8Z/85s5byMvLY8A5Z9EzM52bfnojAMcccww333Ibp57cnZ5Z6aR3y+CVf/+Lvr1PZu2aNbRpmcKY5//BHb+4i2lTJpPW6USmT53K7XeW/QSd7j16MvDiS+jVM5PuGWns37+fEdeNjKkPVwwZRGbXVAZdfAFPjBodU9A8gHlz5/Lvl19i5vRpxY8QnPDB+5XWb/3yS8447VR6ZHSl9yk9OPe8/vz47HNi0p/Ztzc9M9Ppc0pPzjn3vJj0AMOuvJy+fU5h7do1tG3VnDH//AfvvvM2bVs1Z8GH87n4wv6cf97ZZeqvvnLoD17HWIhXDzD8qsvpd9opfLJ2DSe2bs4L/4zU8eYbr5UZeLGI//53C+efeya9enSjX++TOL3fmZxz7gBGjriKU7qnk9WtC19v28Zdv7673Hqe+NPTXHP1FXTvlsayZUv5xV2/rrT/pKQknhw1mvP7n016l45ccull5X5xL60PA845g5O7p9P31J6cfsaZnHveAK675ipOyupKj4w0vv76a37xq/L7UJIRw6+kR0Ya3QP9L8vRz583l1defomZM6ZzUvdunNS9GxM+eJ+x775Nm5YpFZ5L8Z4H8V5L8fLfLVs458zT6d4tjVNP7s4ZZ57Fef1je7xkvOdBvHpwfz2XdR7dfuddTJs6hS6dTmT6tKnc/ovSPxvmzyt6T55Oz6xu9MzqFtN7MkQmAaZNnVyl1TXxnoeJeA0hvj6U9hre+n8/Z8eOHT/4bK+OPvhwHsf72R6vBx/GIBHvafF4cP0aAHw96XG2vnUX+77LZcuYa9m5ajL5n33IljHXogW7Ad4TkYnl1aGq+4CfAxOB1cDrqrqyPI3hN1LZ5wQbRiIQkTxVrS8i2UQeDdMOmATcoaoDROReIE9VHwvKrwAGqOqGKG3fovJBmb4l9HVU9Z7g2IvAf4ClwHhV7SwibxKZcNgV2DoauEFVJ5XwOhIYCZDcvEXmoo8+qXK/jzmyXpW1QKWehV3d1KnjdmbUh/eqWCM3J5rCBJwHBfv2x6U/rF7V4mgkinj9Q/zncrxngetryfCDeN/XfYjw7fo9MRGfjXY9GkaEdrdU/UkpX75+O3u3rgvVxZTWLVPfnzbftY1K0bzRoTmqmuXaR2kkuTZg1FrGAo8BfYEfReXv48AVM2U+uLYcSv51UXJfgJtUtaLZ02eBZwG6dst0/03WMAzDMAzDMIy4EfyYlA07dpuD4YrngftU9aMS+RuADAARyQBKu/1gB9CgnLovFJHDRORHRCYrSkZJmwj8REQOCdo5UUSOjLkHhmEYhmEYhmEYtRRbmWA4QVU3AaU9zvEt4GoRWUkklsLaUsosBwpFZBkwBlhSyvHpwLHA71V1c4kgjs8ReSLEYoms0fwKGFjVvhiGYRiGYRiGYdQ2bDLBOKioav1S8mYAM4LtfODH5WlVtYBIgMVoZkRtL1fVq0toNwCdg+39wK+DZBiGYRiGYRiG8f/snXWcHtXVx78nToQESIIGCxE8IbglQAIRCO7uHtzdvbi7lwLFHYq7FNcWSlvavtSoAEXP+8fvDHN3dp5nd5MNuwlz9zOfnZln7p07V8/5HatSC1MFJlSpSlWqUpWqVKUqValKVapSlX5SqXKZMOWpAhOqNF0ldz+6retQpSpVqUpVqlKVqlSlKlWpStN7qhwwVqlKVapSlapUpSpVqUpVqlKVqlSlFqVKM6FKVWpGev3VV/42R5+uH9d5pC/wtyl4xZTmbw91mNbzt4c6tHX+9lCHts7fHuowredvD3Vo6/ztoQ5tnb891KGt87eHOkzr+dtDHdo6f3uoQ1P555mCstssVaEhpzxVYEKVqtSM5O796v1uZi+5+5KTW/6U5m8PdZjW87eHOrR1/vZQh7bO3x7qMK3nbw91aOv87aEObZ2/PdShrfO3hzpM6/nbQx3aOn97qENrfEOVps9UmTlUqUpVqlKVqlSlKlWpSlWqUpWqVKUWpUozoUpVqlKVqlSlKlWpSlWqUpWq9JNKVsVzmOJUaSZUqUqtky5p4/ztoQ7Tev72UIe2zt8e6tDW+dtDHab1/O2hDm2dvz3Uoa3zt4c6tHX+9lCHaT1/e6hDW+dvD3VojW+o0nSYzN3bug5VqlKVqlSlKlWpSlWqUpWqVKUq/Shp8eEj/IHHnmvrajQrzd6ny8vt1WdFpZlQpSpVqUpVqlKVqlSlKlWpSlWqUpValCqfCVWqUpWq9CMlMzNvY3Ww9lCHKlWpSlWa0mRmMwHfuvt/JjN/tRa2UqraskrTbKpcJkxxqjQTqlSlKlWpBcnMek5mvqHAlmbWdQre3Rrb3mytUMY0mbL2m9x2NLNeyXndcLHNKKvjlOSfllMrjeOfdJoe2nBK5oCZdQEuByal87IF+X9gfs1sJTObJoVrU7qOpOMo2rSl+Zczs/nd3aflMTmle0NbpmmxzlWavlIFJlSpSk2k6WWhNrNFzGy+yciXbbIrmNkSk/nuKWrDpA7dJod4SvK3mOgslDMvcJyZ9WzJN0WdRwIrAhtMDtEGEATb8pPTD6Y0E/CMma00OflbmmdqljM57432Gw+c39J6RJ9tZmabmtnGwAEtBYaScTgSjYNuLclfr8zJqMPSZtZnSt/f0lRg4hac3DKm5P2Tm7dGeYNiXWhJnm7J+QyT8c60DWefjPytRvuZWfesTi3MNzMwKM5HxdrU7OTuXwPHASsBO5rZjC3Mn7Xf2sDZQI+W5G+NcVRWRkv6JubvSnE+0syGtfD9HZJ22AaYMBljYy3gQTObd3IAhXRvb+F7W3VPSrQqBrRVPaKszi19d9KHHSeXtqhSlaYkVWBClapUJxUW6k4tXaiTjXLGsvstLKNjcq9FczcIvs2AhVuaPwiEtYFzgRYRfPGujIkbZWbbBiPWohT5JwC/QIzgPpPx/jHAiWY28xRs/rMC8yLntc0inIJg+87dLwb+CKwKTGwJ0ZCMgUWBvYGfm9nwluR3pX8C5wDzxf1mATOFeTDczGaxyZTMR7stMzkMTdIOI8xsoZb0Y7x3TeAk4M6WquQG8/IAcCZwOnCUu3/V3DZM6jAWuAz4xN3/15I6JN8/l5nNYGYztISAT+bCOOAqYLGWvL9Q1iJmtllL8yXjaHvgEjPr1dL1MCmjf0uY0ELe3c1s45YS74XyZgQmEQxIM9eD7sD2Zraoma2LJOstAkiTb9gFOMrM+rRwLnwf+bcys/3MbL2WvD/ydjCzBYAnzGymlsynmPuzAVuZ2aXAhcC3Lchv0Ze/Bg4GxgE7FffZZpSzBnAasIe7/6u5+3thHK1vZruawPZmA0OFMkab2SomCf/3LfiEmYElzexB4GfAuy3Im46D5YG1gcea+/5s/Xb3Q4EngRvMbOBkrkdrAgebAKZmpUL77Wlm55rZIWY2S3PLyFJSzg7AHSahRYu+Ic5XsMnUXIz8CwET4rzJNaHw7knAxcDVJlqnJe/N9pWVzWw3M5swJd8xrSWbRo72nCowoUpVqpNKFuprghlodn4zWwt41MxOM6H/tGTDTTbbs83s7Lj3fUuYMXf/AvgvsFOWv7l5zWxO4DBgHXd/xCSJG9WCd2eM/PnAp8D1sWG1hIEYCRwDHAr8B9jcminJiPevHu//hbv/gxauzRmR4+7PA/+HJFk/jI8m3p8RbHsgKdIgYGtgk+YSrwmYciPwKCLerjKzpZv5CYOT83eB7cysm7t/19z3xzfsiZjp/YCzzGzWZr4/JVgGAVcDL7VkDFtI0WL+/QLoSQv2MJMa8+rA9sDzZjbOzK63AGVqjcfC/S+BF4F/AFsCNLcNg/+ZBTgc2MbdnwribVdrJjCUAAG3AocA15lZz6bGYUaYRv45EaCyvbs/0Zz3lnxHR2BZYly1ZC7H8ysB2wCbuuzdm9WPBeJ5f+AuNA92aE7+JO8eaA6+7O7ftKTuhfL+jda0o82sazPXgy/QHHwMOAU4w92/m4w23B6N5ZPc/TNaLlnfFI2hr4HLzWzXFuQ1d//e3X8DvARsmN1vRt6Fga3d/W2gG7AF8DNvpt+DZAwMNLMBwGvADmhu72R1tM9K6vcbtBfsBQIMm7MmJeNoV7QWfg3cDYxuzjcUytgNaVgsCbxlZgNbUMaHaB1cGXgiAyebu66aAKElgPsQuPlPaya4luxrOyEgqCuic5oNKMRzawAnAI/E3tyslLTfysDmwKsI7L/EJgPojnpsCUyMdmw2fRb59wQuAvq09N1JGgkcFOU2ua8k794RmAgcCfQFtmruC82sY0KjXQL8Hbge2Lol+3OVftqpGihVqlITKQjVicARSDK/RQvyzoIQ/xOB54E1g3hoNqBgUl08HjGQ85rZ85G/JqCQMG4DzWz9eP5E4K8WmgHNfHdX4CugM7CamZ2DGJEHghhtKn9HM+uBNunNgX8i4u+2lkiykARmL2AeZCqwvrv/zyQZa6oOnYB1gf3c/clojxvMbOvmvNikwnyCmZ0abXYW8Hsz6xu/N6cdB6NxM87dVwbuAVagZRoKo4AT3P1CYBe08V9sZos38e7FkLTlyiB+n0BjcVJz6x/PrQyshwjm2RGx9ak1U6qagGKXoTb8Eni5KYLFQkIS431Ocmb8haYIrvTb3P1bwBEDdyNihh04wsw6l43HAvM6P/CFu68FbATsYGb7xW8rm0CSeqmTu/8deBg43MyuAnYHlgB2tmbYbEdfnojm0/+QdDfVWCpTm54T2Mty4Koz8Fd3fzZ+75z+b0bqEO3+MrChma3cDDDDkvNuwCLA3MAGIMK5ucxHlLEMsBwCBM4G9q/HDCfrYYdYk9dCjPj/mdlmZnagma3Q1PuzsWpmcwfzgbsfh9a05dJnatUh0h8RI/sd0AhIqtcW8Q0zoPF7FPBtMDL3mdlhTX1DlLEqMAbYyt3PRXP6RDPbuYl8Wb36JrcfRP3ZLHAVOf5+MNbuG9G6PsIk4e8V76kJFCcA/bXABQiYXADYFlgN2MNKNBQKc3lhM1vc3X+L2mEmMzszym8SqDelOdEavgZipl8G7m3G96dlLIok0WOAL4DngI/SZ8ryFW6dBqwPfG5mx5pZr/iGUqC3sCZ+7+6vIO2ONcxsIXf/pgV7wpLA/sCR7j4C9cn91gxAIWgDAzZFAPVLZraumZ1uYo6b8/7NkKDjCHe/HDgZzasLzKx/E3nTNakj2tOWQP2ZjYPmtsNYYDtglLv/McbXvE2NoyR/p3jnhcAHZrZFsY6F54fEXpqlHmgt3Bj4BtjWzDqbWU3/SBbmUbH29kZ72kbAh2gM/rIlQqcq/bRTBSZUqUqFVLKAd0dStI0R8bdNLNR1bVXNbFlE4Hzm7rciKdolwCpmtjc0TXwFsbE7cKO73+TuawOfmNnTkf/7wvM9gphwk9R6JLLtPtsk0fwNYarQjHcPRpoAXwBnAOOBh919g/iuBa1pRtLd/XPgjchzOrCRu//ZzHawGup4CfG/QBCWPYFrENEz3t0/jryTygjHpJw5EPH6JHCFmd2FJEDPAPvV2myT9y8IDERE6yBEuB2KJHETsg+slT9J/0NSuIzxvxKYEdgXMeg1U0IUdUL9SUhT70fgzDlmNqRG/ZdHUp+JSJo9K9JsmINgfmqNg5Jv+C7euSMivLaNvCvWI/4L5W0EXOnuF7n7CkhC+2wdBqwPsLcFcIM0An4LvGGJfaiZzVpGeMU8GGVmWwfzsBcCMvZ196MQMNGHhszRD/VNmI99gVuAN81sa3d/D83LHczsVjQuaposmKSxdwYDcgPwCHCRu2+MtCx60zxJ2PdIJXxuYB1gS5d69vJWAxAB/oUAjL5mNqu7/w742sJUKJiH0UiiVxdQMAEmx5jZXC4V8xOBlaIvajLRSTvOCcwQRPMxwMJmtmHUo7ng6nJoPn7s7u+6+6/Q2rJH9FPN9wOzBKDzLgKHr0FS3cWA5eu8s6eZ9Q4GY1kEROxsZleZ2QhEzI+I72hEgBfaoJ+7v+fuy6D17HIzWyO+fxkrMRlI2yUYwC+B24HrkMZVJ+BYxBA2YqKS9SArZ0lk8rZifNfLiKG90My2K8nf1aTJ5CZHss+Y2REmTbs7geXNbJNa7RdlLG5mh7v7a8C/kVbEGu5+CfA0At1XiD48pNbeEmv2MQhQ3RXNn73RvrY/0lBopOqetP+BaB++wgSOL4I09oaY2cXxbGkfpmW5+yfABwjM2AxYPRizSdFGZXVvUAbwJ6Shcghao8fFGNvezGYpGwfJd+xpAkBOQkDGE0AvBBzuCuxrJWYXSf6tow+3A65A4+gmM1uwBXvCnxEw/UWUfRjwFvC0mc3dBI0xR/z+LOr7h4Bl0D6zkIUvjibe/zYwP/le/Bdk7vF/wM+auSbNjdbfq4HdgPVMZp0116SSe/9C83EnMzse7RXHAk1qDpo0Q/Yxs83j1hOEGWIN2qIzEo6MM/n/AegPPA4s4+7jXcD59ghUaARSR7scb6KHcPd/obY8AI2DdYNG29xaoIVapZ9wcvfqqI7qiAOw5Hz++H8KIhp+nvy2C2IqO9UoZyXgfeRt+g/AyLjfGTHldwJzN1GXbkiN+HZENA5JfrsfqegW8yyLmJUt0SY/PzADIrKOAD4B/ooQ9LptgKRV50W+mZLfV0UEw5gm8i+K1P46ITXUT4Dh8dtiwJvAKnXqMQHZqA+J62sQ0dktfnsbAQu18s+OiKSdog4rA4Pit7kREde3Tv414x0j4rojsFCU9xoCh+ZpYgwNRQx81gcHAAvFbztH/frVqcPcyFfFaEQsPw8cF78tj4jiC4HNS/IujQiD7Qv3VwX2AP4G7NCMeTAqxtFs0R6vJ7/tTJgcNHN+nZm+ExFNHyI12w4lz/dFwMccCMDpgIit/ZJnMuayV8kYXAIBaFfH+Nk7eWZj4HVkvlOvzqOQCnNnYBWkTrtN0j+HAYOb8e03IiJz1uTeKsCvkWptvbxzRhvMjaTaHyOmHAQw3ZSWm4zXzll7oHXhshiPY6PNrkeE6RvAmk3M59kR0X8SkqDugUDGq4BuxXFTUs7+SCPnGcREz4OkeRciUKTJNTm5dyjwK2DBbNyg+f0S0KdGOXsC9yVzY11g3rjeAa2zXWrkXSrG3XZo3i8abXoyUkt+C5k7rNTEXNoPeCrG3RJxbzMkCTwr3jF7nbbYAa3J+6O1ZX6gR/w2OvL3qvP+BZLnN0Przzhi/iItiSHF/DFOt0dzZv9o69WRJP40NLbPiufL5nEHtDf9Ejg0GbfnRfsZ0lw7F3gFWLzWWEBAwaPJvd4IMN0trmcs5OmWnC+IgOUOaD3dJeo/JwKN7wT6NzEXFwIWjPODkNlTtqZvFH07f1kbJOfrI/Cmd9Tnt8lvm8YYqTcOtkHjf2YEKB8c3zQSODXqsEid/HsjQHNDNGf2TL7nk+IYKBlH/RAD2xGBAFslv20bZZfSN1HPGRGgtH3cWxZYODl/qfj9hfcvi+Zgd7Qmvgvsk/zev6l+jOcORPP5YaSpNy+aF7cjoUfd9Qj5Spkj+uF4pJmxUrTPBcAGtdogOV8UgWIPo/V05+iDVevUuz+iJc6M93WPMXMRmiM7oDVpaJ0y+qJ5e2Ncb4L2gdXienG039esx/RwLD58Cf+/f389TRzAS23dXjXHU1tXoDqqoz0esbFcGot0D0QAXxYb4Y71FmpygmWFuN4PMUsrx3VnajCx5IT7EMQozokIxmuAfQhmOJ4ZkZzPRs703oDQ/fVLyl0HEa0Z8VBG+A1OzldFxMlRsWnPhpiptZpov9UQofgeYj4ywvt24OeIWFi7Tv5FENiwTOH+NYghe5A6QELy/LbI18W2BCCCmIg3EfpeK9+8CLhYMq47Fn5fPOqyZJ0yDoh+/wVifjYlN1c5DxFAjZhQGhIrcyKC55zoizkRsX0TYigXQ2DPwSXlbIMArWNICOpC3x5V691xvTfwAiK0OyJVyhvje3ZHErFFm+iDxQkmBgEg/yAIlLg+CRF0myV5upIzwv0RcXQDAg7mAn6PGI9DELCzTo0xeDX5vFgDEVsHx/W+SBLY6LsLc/nnCLzL5tAq0Qe71/nm7NmBwPLJ/ctjTMwax+kEkFDS9lkZyyAm58hol/XRerQxms+vUphLQBck6Zwdjfd9kQbGTWgeDkTrytlRblPtsHbkXSCuRyJG5CEklTyuiTEwkZyRvxw5wAQxdLuj8d2rVjvG+UYIENgIrScHI+Z0YWJ+UjLO4/5OCADJ6t89Kx/NkzcJhrCQb64kzxVIM2TjwjNdEUN+NTnIVAaAjI5x1AetDS9mY4McuK1H/O+OtIpWQWvTsclveyJGYLE6+XeLd/4czbeO8e2XxzhqBAgi6TEI1H4Q+AuFtR+BAD8DPqMEBCj04aaI0dwjrldETNf+aF/sAPSuMQ+WJ/Y0tAdcUFinzorzbCwYAlyuS+4tjOZu9l1947sypraRcKBQ//3Ruv0IcGbcuxCtibej9bAmEx/PHxD9lzHPcyJhxYVxvERhTUWaJIsk1yejdXWXGFNdCs/3rvP+GYCz43wvtB51zcpAtE8jMCTJvw8CVx9FTPCIaNNT0Zr8AjCgTv6sL1ZAgo0ds/sIYHkHmNDE+58lpyXGItrkTeCQem1fKGcC8ECc3wrcEOczInrhJqQRWWtNzOi6pxGgPHPy2zpori1QyNODfO1ZBe1ro+K6Q3zbPgjoPyq7n/5PypolxuP5CNybGQlfro3x2Wg9K/mGPmgNvSKuj438d8VYrgtyTw9HBSa0ztHmFaiO6mhvB5LqP0cg27HI9wFuQ4TJw/UWaoQUvwdcmtzbGzGRo+rky4im8cDNCBW+CEnwhiDV+EMoZ0C3Rwz4DAhZvzA2uXlKnl05Nosu6XvjvFt831nJvTFIAnVStEP/Yr5C+UsjZH01JMm7mJzwGkJIFZooYxwNNUGKxNKMJXmy9lsMOCC5vzkCgrZGjOmGBBBR5/39ETHRD2k1ZATQ7Mkz1wPH1Mi/GvBgnN8KXB3ncyAiYkcKhEYh/3LkmjFzIALvXES4dSSXiKyMpFBDk+8fHP3UETHQv0LMSqfCO7Ix2SW5N2NyvhRiWlOtlD5x/yJCTb1G/TMCaBRS5b0ZgXNzR13ej3HxCZKGHklIt6K9R6FxPBGZIiyIxviViLnuG21yIKHdUuzLyP89oQmBCMMxiFjat94cLNxbBzEv25BLcNdAkqDehWe7JN8+AElMTyMBxRDz8nL0X49a703WgicQsJiZVswfbXgnYsRKxzIiiN9EzE8GFvSObzkVqfw3Zz1cEmlPLF3y28xoLJ9LgD9xfyG0BnVK5vNG0ZcPkK89AylhIEvesydak4+M/rsDje9Doj0XrJO3IyKSl0XzZ1K0yQ5IM+ZkaqznSPtiOGK2tkSgxyeUzF0EsDxGOSgyPNr9iuTeJKRplI3fImA5lGBQoo2OQczIztGGnRAD3h+N66GF/H2S85UR6DQv2iMuQ+PXEHN7djYW0zmMtPKGxPmVMeYOogQMj+85vk4/7Ic0U36OGNFMQ2EFBMQcUCfvOLRmjIrr+eMbHkES1fepIUFFa/iqwHxxfUb0awYoHEqisVRrPUB741Fo7emGBApnxW/zRv/PUVLGvMBsybx4Is67o3k8MfpxfeQ4b2DJmrIxAvJnSep8P6JJMtD1KEI6X6h3cV3oguiYJ4l5FPd3JAQedfphIzTfOqD1/KG4vyBab4+g/lxcEK1pveJ6aeQYeoekDqNL1phsHZkPrQM9ox9WjW8YAgxDQMxMNd7dtXC9GppLB0dbdk3GVkcaa7ik2gRrkoOjFyFwJdt/10YmB4sV8s+EBDlj490fo3Xp78BeaV8hXzKvJ+Oma1LOhjFWMkB+PwRELps802gNKpQ/N7FeRPv+HLgkrudAc3KhNM/0elRgQuscbV6B6qiO9nIkC+0ZhBZAbDQPAuclz/Wska8vOaO9PJKkHpk8dwDlBHm6SS2IbMIXjw3rqNis5kBgwfXUkBrEpnAhst0EMf8vxsa7ArlEdnS8YxZEFG0T95eIzXUIIvZOSsq+CEniB9Vqv+TZschDOYhwWQwR2adRW3Johf+DkOQh1b5YBTFTHQtt1p1czXoBRGDcA0xKnjkEMWPbkah+l7y/EyKweyOpw+jkmeUQczhTtNut5NKlItixUoyd/aOcTCV98WaMv75IivgWAQYhxvRaRPSsFffmj35ZLCljHGJUj0aE9gyIabovfuuUPLstCeGHiN4zk/ZZEI3hGWioKtwIyKkxlldGDNCwqP8kNH7nQwzQIggoG4mY1cycxSLPr5BN7ui4PyciNi+jRHKVtF9/csJwfeBzcq2gHggIaEqbYvdow9PQeNsCMVzbkBPC3Qt5OqExugEimPeNNjgOEY2ZFHp89G1TEsxZot8yonENBHAdRGMGIR3LGZjRC82h52KsZBKx3ghMvIAaav2FstdD/h2yb+wYfdQ9eeZZAjBBjMbCSJJ/duRZFY3L25L67YHG8wwl7xxEMFXxvhtJiFskjTspro8D5ixri+TeVkhyfxca95vFu2ekhqlakjcDFjMTrSNiXPZEDP9BcX9UvKNPSf/0RnvK7STSPgSGPYbmWNqHndDY60sOvJyO1rC7kud2Qoxm8X3zIWlpNg+GA+cXnrmFMG2hBrAU9ZgPuCzpl3MI0ABpbmT9vi9aL8raf7YYI72jzGXj/ZmG3LIE41Qc12i9vZ2CCQkCeI5EzNQaddaDLmgdehOtIaOibR9B++tHlAP06Vq2e9T3AWINj3JfB26pM3ZmQuNzxvjumdGefDn5nvongplsYhwORkzqomh9/C2iEWZETP6r1NdsWZl8DI+J/tgkrrdGGgHzF/IUGfCxUc5BNAQFS828oo/6xXnfaO9r0FqWraNbUqLxk4y3Q9B+a2i/eJF8DemN6LXt4roWfdETCRXmQcz+ltEGj6E1NvuOfRA40a2QfyHg8OR6DAKxjox2SPfMLtQwsYjnL0Lga7aPL4G09XYtPHsT0p4YgrQ9ZkRaZr9F4/kd4Oik3leQ0371zM3WRPvPy5FnWbTG/Zw6Y3l6PRYfvoR/+u9vpomDCkyojuponwcFAi7+rxgb80OIiFgKMUFz1ilnHaQJ8BKS+i2PGMrrqC+tGYAY+GwzWgG4J/l9OCJ6L0Vq0bVsepdGRPdBiNnKmKdTEFP2FqHWj4CJ1JThAKSi+gY5Wj0YAQrnIyb6GRLGvok2XQqpoY9M7p2H1P0n1ck3GknLt0zqfixSpVw5Ns9RJflGIsntBrEhDkbMyy3kkpphiGioJzVZCwEExyAiZrUYB0cggvVdEhVfcolOT8T8z4E2+90QwfcokipnfTsJSfa616nDGKSRMlPU41lyido2CFDI+qgDiTQx6vwSAgX2QVLP3vHbDohwqimNjnf2QcTFMoiZ/RWwVPLM5tEejcYhYiz2JCfM7kVhPDPp6sD4/Vby8Tk/YjAXz74p/ndFgNCdkSeT4GdAy6VERIl0Hkcf3h99fWh8w9pIbXTV9B112mHn6Lu5kQr/3tHWWyPp7OaIsC0ycB2Q5DsDQUYlc/i4qPPxSCK8VMl7hyACdUBy7xICQIvrrZAPli3LviVph5UQ09wTAVp3E5IrBDL0oo5desmY/DkNmatlo627Rh9+jMZdup5uEH1xbFyfGH29AZpPr1Oi2YIYhL3QeMzG78MonGA6588vq3/yzJ6I8b0ixspc5KDeqOiHpszNMsngGUgdONOoOgappv/gawLNv0GFNtgWjddMjX7/KCsFFGYqvHt+clA60wLqg8C3e8nBi63RWlHGCA+IdhwWY2FO5JtkTPLMWdTwVZF8fwfEAN8PXB73lox2vQ1pBCwd9/ep0Z9do/5vkfus6YnmwvuEyUMTfXk9YoKMfC7MTUGboyTf0uQ24aegfSyzcd8cAVp1AXK099yHgJtfoD32BxA5ypyTGgAfAoqWJFTh0RpxHvmatwnag4v5B6G9d1VCyyTGz+0I4FkdjclbEK1Sz0fCrmisvoIArBXiva+iuf1ase8Q87pajKVN0TqwA2Jmb06e2xntSz0ogJqIltoGzefrosz90bo2Np5bIvKXAkLRZosTYxcBMRcn4+A4FOUIaqzt0Qfrx3h7N7l/IQLQt0fztNGaFHWYD2m4LIGEF8sjZvx28j1rt+iHIsjclXwdmQmBI79CwEK2vo1AEUEycG1uRE8Oi+tLEYhyLvnY643WoJ3QfNqLEhCDZI4g8PN+BHp0jLY7A+2TfdCcHt7UfJyejgpMaJ2jzStQHdXRVkdh49sabfYZw92HnClaB226M9coZyBi3BZEEpgzELHZHxG9t1KuFtsfEeVLxEbVG23IjxB2hPHc8YiJmYSkG2V+Dn5Brg1wCAIUVozrhciJuI7F748N7i0UZzotc1bEzN1JDf8CSRkrIuI9k1JtgRD7dRBB9zRiQk+sUc5yiEjZH6kRH0Ru03sjIiZr+mlAEsfPyVW+eyEi7Nlo/3ep4TAynl8g2n1XRNg9gkCJxZDE7WRqqNPHvQ0Qw/o2wWhGv50e/bErItgaEXxJGw5DxEjma6NTtNnHkf9tQjpXYwzMg7QhxqHxmNl6Z4x7TTAsKaMvYvTuR0TkOgigOB5purxDbdOGmaK95iDXFHmUMPdI2nlvGkr3ehbaYU1EIHVGRO95hFQo3rE6MFexHRDx/W604/gYSxdGX2wX42OmsrZL+wIxWXMiRuNeGqqYbkCJBDX5vQ9iLu5GRHa2hsyPJPwXU+LrI957BgrrdSOS6Gcg1UHkDlwXijZ9k9o+WyYgInNkcm+v+JZ9kefxUlCNhmDEBDSvO6A14Cy0nq2K5urKSb7+hXL2RwDAxfH/lLi/G9LuuaCs/sn7u8a3noLWoZGIGc78S2yLGLwGDExSTubQbF40flP7+n0RU1XTv0AyDm8m5g0a/7eTE/NL1OqD+H0XpEq+NJK8TiSfX5dSYp6C1q2r0f4xL2Kk7op3z4ckug/E+HqexoxPOh86IO2aqxBzMgrZqO+H1qRXKGGkkz6YgPbELlGPW4Cr4rdZ0fhONbcaMfbxzswm/iDE/M6TtM/xxFwueX9vAuyJ5/YjZ8qWRHterbzZ/wUR49o7rs9Ce9F8dfptCLl/nfHIUWBmJjSafE2v558i7dPuUd+b0DzsXRgjb5T044Ton9vQnvB7tLZ2Q+P3LnLNnRkp0CaF98+AfFp0Q+vvpWh+zhf9OjflTGhftAY+itaTbJ2+knxc7xv1r2UmNBCN1f8DdkruH4hAvqvRWrJ0Wm80r7P39UHj/0q0Lg1FTPWLaL8r9T1U0g6ror30YXIHmn0QWJutSQsV8ncttMcFMZ4MgQF3I6DlQGqDoyuj/WdftLbPiGilS5GmR6ahsSQ5YNIF7WNHJOUcjXyWTEjurU7BV0jh3f0QiNsFzacLor0WS9r5AUKDlia0tKbHowITWudo8wpUR3W09YEI3KdjYf8Pkmj2R8zMVoiBSp0fpRtMDwQgPEouge2HGIrMDrCRDV9siO8iZm0WROifFRvWeogJOgMRY6+hzf/6ZLMtSiQXifzZBnwYkgSsVuObUxXQDvGtpyGCPSPgesf/GdI8JWWNizbaJ/5PQmrO60a73o8k9Wsh4qio0rsoIg4ylcs5EKBwWPJMz1p1QBv70YjYvY9E+o6I3q1JnOCV5B+BCPPd43pGpE7/cBP50m8YjgCnt8iJvFmjf09C2ipFQiVjNDOp+xbIfnSnwnM7ImJnbI16zI2Ajx6Iyfw0KXNlRCzMVes7knJWjraaAQEqd0ZfDEfM/VHUkOLR0OnZ7Wj8Zt/3GA21bWqOJ8Rw/ZpcBbQTIuDPRczDW+SE0ADENGYaRSOAu5OyMueJGQjUqA0oB2XOjXH686SuB1HbM3c2lzJ75o4IJLwYODBZE+Yu5imUMwZJywciVdsTEMF5GQIXbiBUkdHakJl/zEquStwPrUWLxPWKaH3rjpjjw2uNo6Qea0Uf7INAtW2jH85AUsF7yRnhsvbrjeZO1h6LItXmI8mleGWO7nqTm7osFPU9K8bdXDEO/hDt8RbJfKLhXOyA1qC+iIC/J+rfFa1zo2ki+gYi7N8isUOO+8chs7d6jGSH+JZrog4NnOQhkGgPGkffyNpmXsRoHY7mYh/EhJ+A9gqL/33qrEcZcDEfOXgxF5rLhyCGuJ6W1mi076RgQWZbfUvxvTRm4rP/OyCGccvo0wOB36G95mNq+I2J+j+F9o9j0Np0S5R1MQJW16lT/7mS86uB65PrC9Ec6VRoM4vx8TMa+ol5Eng+uR6FtEX2Q/tnPZXyHciBtBWQBH4SmuNzo/1qkUKescg0aWRy76hor2xe74203so0nIoOI69A+8LguDcsxsNJlIAqhfxrIiDgfBLgDIF8JyOgqtE4KpRxMFq79ydxWIwAwo0p+LpAY349BJwdhfbOLmj9OA+BAp2QNsGWlESeKKlDto73jHx3kwPzWWSWos+SXuSmEWshwcai0RZnxTPbofF5Lo19lsyJ6LweaM38FNg5+f1ANJYn0tBX0Q9zCM25Jcm13E6MsZHRGHuj9a0z5XvKHDHWBiAgfSG0Lh2ejIfNYizU1dibXo/Fhy/hn/7nm2nioAITqqM62t8Ri/UCCOWfGRHdzyJC+AREfC1F4hAJEYobxQK8VGws8yMCZQNyRnxHaqj0I2LxTZKQfYjwux0RKEMQ0XdDLPxLIELk/qhvpuY+ilyK3R0RWwcnZR5JfUn4mmhzPiXbzJDK34fx20vUJvayMmaPjXJ+tMl/GPU+kNw7d+f47T0agjJZGdsjovEUcvXeOZAE9Yz02ZK889HQKeK5wCNxPpBmeCNGzN8jWb64l0mFn0SEe5HQaGQek3zLq+QaGktQznANRZKW6xGzPSbeuS1iVtYs1rHw3dn/5WJcXITG8MpIhfIwRKj9mjpRMwrv2BIxUD3JQ1n+klC1rDeP4v9CiGDpF2PxDHIG6kXg4bK+TMrpFmNnYUSArYJAonni3gEkqrDxnmEIzJsp8vyKhhKwM8lVRzvWej8CxEYkbfg/8rm1CZI61VSHRpLEJ5D69/5xbw0kxboeMWZ12zHy3E5Io2IsfBJ9cgaaq/Oief9+nBsiMAeTM6Nnk2sFXI+k69cW26BGOwxA83kAAlJfjvG1V/JMTSloXM+C1rdUyrYPmv8n15rPaI3bHwEWmZO6pRAzcUz0TX805+dI8qbS+J3R2nMZGvs3JN+8BxE+sOS75yOx2Uag2gVJ3VInpcdSMPmi4XqQaeWcGfW4lZyZKfWbUyhrKySN/jti+mdGgMIvok9rhrON/PsiMDsDZuZBDN1FxXrXKeNn5KY0qWPNWdCaUFcVmsQnCVpXLojv6oBU59eiNjC5INp7hqN94JZot/5obm5BQZJdfDcCCw6I657RD+OSZ2qqg6P9YCnEcGc+J54kPP/H9UplZRTK2w7N+zQC04po3T+YCBlcyDMz0mLJTGdSXzVHIyl+T3LHp/WiJoxGPhZWjXc+Re50MjO1mKWQp8z3yiAkYDmFXNtx9ujLMml4qhXSN8bu7GgNOxatLfPRECwprgeronXvAxr6Yjka0Vyrlr27xnfsj9a0BwhAFzHhD6D5dVdJO2RzODONeC8ZH5lz2Z8l46NIH3RAQPdj0Q5bo/l7AA3NBo+McdYvrXuh/sch0Ga5uD4t6nQ+WtsbAZs0nLMzIlDmtuiL4YhOuhdpytSNnjG9HxWY0DpHm1egOqrjxzyKm1bcy1TiH43rFYGvkFShTILWHzHNn5Kry+0Yi/s5iKH8iNpaAduSh2bK7KzXQ0DCs4jozZj7jkiV7bV4bhsENnSKje612CjGk2tI1HXsFuWOi7wLoU37HnJ74MORBKrMyV1PcjXVpRBQMABpRryIGLq1kcr/vuShNXcjcbAX/2dLyl0bSW3WI5dozkH9WMtrIhXLmxBB0CPa60LEzLxZ1gfJ+xcgl3J3IMIqFb61TJqdbvT7kXs5zwi13RERdHz0R1EFfEi0/U4x7nZDxMH2iFjfCkmm12miD8cipuGY6MPDEOGyIJLGHU9ul1pPejZDcn4WInQNjfNDEUPWrYky1opvygi//oiJOoOc4Fq2ie/pjIij6+L7T0fz4bzCcx3J/VB0iGfPQoTrOohpOhsxHu8RRFidPtwSOUG7EDEu88Q4fDG+/Qnq2yOvGuNw0eiLv5JLIxdE83NcE9+ejcmlEPG4OBq/OyDm68goPxs7ixS+YR7EHMyNQNDjEdBkyP/FlTTtaHDp6McFIs+rUe4WSJrcyC65UIclyDUkNkdS18zp5DZI+lXP70xPxKj+k9DqysYNkoKeRmPtnrQuK5B7l58FrdGHxfW21PAvEL8vGm2fgcGrIiC3X9I3K1PH0V/ynRkTexTwJbnG2kYI4KgXdm/1aPcuiGG9GjFQMyAG8moarycDyDWRlkRrQqfkehDSlDgaARwNNMNK6tABMTj7ZfMy/i+C1oGmxtEABIjuk9zbAc2nnSiJgJKcdyP3o5I5DO2D5sK29eZOct0JMUz3oHXgLDQfdqhT51nITSiWJdcWPJUcEH0YeK6pOZx9E1qHMq2oVJtxeQQK1TKbnIDWk1lK8j4KLBHn9QDulZH0PXUaeDICF+YqlluSfzcEwByNgMpZEWh5IqJz7in2Y6Gs8WidOg6toQPQ2nQ6mld/p+D/qPD+DvGeO9BanGp1nYL2lZq+h5JnV0EA86AYA38kABhknvCDE+WsDvFsFrFi+cjzMDn90hGtw5chptwoFxjMikCLOxGd1S++/1i0rs6FaM0FarTBOjEWDZk7Xkq+np6KzGDKQLEuiJ5aDIHtk+L9JyIaq3dc/zz6Yr2yefRTOSowoXWONq9AdVTHj3UUFuqJiMAZhpiYkeQxhycgpqJUNRwRPHcjaWVKMI0kj5k+uk49RiJJ/BpIBfFGROiegiTkz6GNPyMItyD3eTADInQuJiR0SCPiJSTRe5kwF6jXDrEJLolAheeiHk+SM9fdi20W14MQ03141DkDIFYH7o/zReOZdJMuEj5ZyLsTEXhiKOTRVUgS3Detb/E8Ntk30Ya8KfA1IjwyEGZt6kgA4/cXEdF6LtrcOyAi6dZmjqc9EaHSndw7cqaGulG06YKFPAsgQnGDwv2JUUZmm7sDkgj/wMyU9OFt5ITA4ogJP5M60RZKyhmPCJNd4noVIoxnXPenBtGbPLNo9EU2RueJI5snZ9f6hvi/TIyfpaMtdySXPC4cZWQMWVc0P2dCxNb2SJ30jhiTAxERdU30ayPNlMJ4mhPN2bnR3Noj3jdfXPenMfOWSn36RH0WRuDOs/EdbxKAQtl767RlfzR3vqShSmwaOaGoHr8cYjzvif5PpVyrI6Jz7Wb04Qvkzj4nEjHb0Vw5nYJKNY2Zj3fQurY9Yjy3RiDNRcg8oZE6crFNkNbFsUgzbL3k/mgiLF9ybygCb2ZEzMpD0XaZvftC8e1Xo7Wmbtz16O9XkbSuC9oD9o02XBaZpa1YJ/9eaE1JI6ScjJj762NsLNrE969Lw2gNIxAocj5h4lB4fg4k7eyF1q/h0Y/bEFpayHRqEZLQgjXm4UByBnYZpFa/djLG3i9rQzT2Z6BhFJGxiFHbI3nufrQW9E7udUKg8ETEuB1DrpW3PDlIshuJA84aY3CbaO/147oHArjORY5U/0SJjw20lmZmSScDv0nm4u001LC6i4SxrVGPPWLMnIzGcTp3x5P4Y6ozlsYhLYRsLGeAzh3FMVSSd87ogwti3KVaIudGP3QstkPyzJ4ItFgOMdWPoTVtFqRtcSP1zXyGISBhHmQe9hZixueL9h9JwXyw0H6LImCxM2K2b0RgYMcYG/PRhOPUOF8p2uvY5N6xaFxnZgKdC/mzMdwXaQv2R2vBdmhfyJj5xdDc7NdEHfohzYg7Ee00AIGi1yDNy5VqfMe+aB5nwioj17galZVdki/TqFgF0ad/JN+X50f01tXRl4tHXY6gJIT4T+WowITWOdq8AtVRHT/2gdDiJxHz8QZiBuZCRG8W+WBIIU9GcM2NiIHuiJB7AjgmfluAEkKj5P3dow6vIoJ1JcQcDUeAwiBC+hDPdyN3+jUvItSORgTmoskzeyMiYHzhfTMAG8X50oig6RQb22PkDoB+hxjgRsxovDdTszsEOYpLgZQZo6x7ENFdUyKOiMS3ELqfeSk+ERELmyPiYbbiNyTns5GruK+OwJB+8f7naJr5XQYR+LMgwukTBADNhwjyhynxdI826EwFvQMiFOdE2gk3I6b8d+Tht8q0WtZBxH3mHDFlTLdFzE8vNMYaxSyP59aMMXI0IgQygnslRDzsWdbuZf2Bxv0WUf9bYmx8QDNClUX+QUhiekW89wjEwPwKEcSzUEe1Go3lNxHB/jINQ7Cug+bnxEKe3ePZdwhJcfTD3UiCn/nXaGTWUDjfCxF5b5MTaDNF+U9SokmBCNwxiLkdheZcf0Qk30JowiAth4+QZkKLJD5IQv4sYb5DTuCWSb8WRGvQHFG3GxHDMACpFp9LzhDWGhNLRN2PSe5NQMzMIYgJqxl/HoENNyCgZy3ExOyOxvFCSGOgKdvs9dD8yqSu+yPGc1VkrrMBSUheNP9Gx7sORcT2etGf65J7v++B1sY+zZwPIxEwuwliKE5Gmk/3FsdhId+s5OZyM6E5dQXhKwMx3HWjASXlXBNtkTEG5yKmsJYkuxdaC/eI6yPi3ZlU/EQi/G+d90+MMXclAm1mR9Lt3yFTndcomF5Fvv5Ii+9etIamvgbWQMzcUUiL7gEKavlozR+K5vNfyPezA5HkdH8ESv0m+54a9d8VAVkTEXB1HA3NC1ahHAQYCmwR55ch0GF88ns/BIpcQvPCqK4Tz88d339mfHs3BJY/Xm8cFMoqAgpbId8+Nc0r0J56B7nZ3AVon0oBhSI4uiCwd5x3R4BOD7S23YfW9cfIGelOhfxdyf0rzYz21wXJw8EuGG37DAVTLxrPv0nRj2eg/a0HWmevi7H517J+LGmHueL7z0Nr4vDkt9MRjdKZhppNi0T/pCaff6fcNOKXlAAa5HTiAmj9mAGN8QPR2rRA3FuREo25yLs4moud4liNfIwehdbFsnC6MyLgcWS028dRTmaaYmhcngbcFPcmxPioGeVpej8WH76E//U/30wTBxWYUB3V0T6OWEyvi/NdCU/zsbHMERtgqafnWHhfQwzfKfHsQkh19brYOOvawxbKK9oej0LMcNF+b0GE8J+NmJy+iGg4BDEtP9iPkhOgxU36bEQYptLzWZA0b2R8x22Emnoh71DEcO0UG9byiMh7j8SZG2Lo1qFEepdssnMgtfKFERDwMiL+70Zq0J0ojzc+HhH2qyPiYNa4fxrB+CLpwbs0dmiVqon2jjosFWW9iIif+6IONaWXiBD4Ajg0rjvFdzyRPPMbRGjUJDyRQ7b3aRi1oQMiZu6gjhoxAoNeQIT+2shuc/Wkfg9HG9QkvOPZnRHBthe5ecbBCBj5S7RHI4KlUMaKCLxYDs2lJ6P/F4ixsmMT+bshBizz0N+RmFtxfRGJx/tkDPVGBOeTiOnJxvxc8f2n1WvDeHa9ePdCyJb1InLznZmRZkiR8cns3pdHxPUn5HOvO2I4NkJMwM00EXKuTt06I+J7I2qHOjM0L/+djce43wOpsl6MAIVSDaNCWQOiv39JovUQfbkj9bWs+qN144Xk3oRozwOpE/kieX4vxGjsjYj5deL79kZStD/QUNpf9JFwczxrSEvp2iijkePbGu9fDoEVI+J6JbTOb548k5k/NPBZUijnYjT/r0Vr1UWIgai3FmTlPQ88Fud7IibwFHLmar6yfMn1JgiY3ZqGPlw2R2v3wDp1WDre3w+twW+hdWXWOOYnkZAW8vZA2mQnIBDj+eiTrC2HkzvGLZWoxzteQqBY6kdooxhDVxJrXI38C5Crb+8WdbgGgbv1zJM6oPF9BQJ/1kCS619Em2TaCP3imVlrlRXPzYH22JvjulP032UIYH2GJiKIlJQ5DgGqu0b+4t5WBg5vF+2xarTJuWj/L9MqyUC4K8gdEM+AJO+PojV6QLTpPWidKzqtHBXjb6cYgzPF/aPJo2MdgmikRvRFUtYGMQa6IQDvGTQPesQYXJsaPpwK5WSAytio73kIUEsBhb6FPJkW6C1IcyMDpI9GYGpN04iS94+PPjsBabb0jvv7o/2pnr+VTtFnt6B17bwYj4+SAz41fabEOPkr2te6IHDt3qQf5kFjOwXamjQXmZ6PCkxonaPNK1Ad1TE1j5LNNguT9EtE4GTSyy2og3jH5vowksTOExvDyYiAmBMRYTXt+5uoY2dyG8MyPwU9os5fAicl9xchJ7ZqgQBZTPJ5kKT0zeT3XojYuQcRQWUh6+ZE6nJblfy2PkLCV0AE+Hk1vi8jmFdDBPcciGC4mtyZ5M/jKGqEzJycP4WYpxWSe9tHOfsgaXijjRo5y9wp3v8UuQrl8eSI/57RDk1FK1gAebfOQhX2RcTFGojQuAiYt6mxSA4oLJ/cWzXK6l0ct/H77IiJvTiuuyIi7fIYy+8g7YrDCFXfGvXYBjHig4HPiIgD8Vs3RIDU9PQezy2ImJzUqVmmirtUjJmaoTiTvrmUho64hgOXxXlqS/0DkBD/Z4xvv508FnfX6I8lyt6VnA9CINZp2XsQQ3QJYc9O42gpQxGINTT64V0EPm2QPLMDmouvUCPyQwvWhKWoE0kkee4SRDwWI8zcTO1wbamp0MrkDi/vRJodjdRna7Rjp6SuDxI+FeLeushWvS5Djxj5+xBjdyIimh/N2g8xJqWABPmcvynKOCTG1CYxLtakDogSZYxCgNhZaC5MiPvLo/m5b8l3W+E7tyP3FbEpOTg3GjG1neu8P/Xi/hBh4oDW0+PR3G4U9z45347cRGlTxHzsjNaQJSkJO1gyDsaQm7y9FP/viro3ihZQUs4GCFjuGWPparRG7kruQ6XoaDB798zRZzMgDZlfkDswnQMxx6XOdwv3+sZYypy8roR8Gu1FwTdAcX6jMX8xDRnfO9H6uA/aO2qaaRW+Zw3EfKY+P3qh/XeypL8xjr+u1Y9J32fr7xyInrkRzfGZkDS9dF5H268dbZA5qx2EQEJDgNS5NNZomBntF0OQxP4TYLOsfRGAcTWaI29QAFKSNuuAgOS1or/3QLTWsmhOXEUNLb2y8YBolm0RoDI62v9spDmzWDEPEeEkub4KrUEZoFDXNKLw7qWQpt0C8R1/REBMNs4PomFEi7Qek5B5Q280F84hF/xsTRLdquS9acjvHdBalvqreRBp69xH7vvhJxm9oXhUYELrHG1egeqojql1FBbq3WOz6oaIhSfIpSdbxgZQCibEZnxGbChZtIG5EcGxY613NrOOnREz/jARDq9YFlJ5Xyw2g5+ROKJCKPMBNCY4F0RMzYHkMYZnRYj3c8lzQ6P8WgTnGODG5HpVROQehCQWY4nQWcCGdb5zWSRpy6To3SPfnkit7+mSbxiKtD7GIkbxPES0XJ20zRDEmN9CDbvwyPsx8A8S1UJEdL8Xm+9LlNgvFsZQ5khwPkQwZiYPByDCrdSmuFBeyiBngMIC0QZvFcdA8mzP5F0fk4Tmi/qsEv9Xi2+qFYWje4zlRZHa7INEiDSaIC4KbbEkknjelNzLGIJnyvoi6bOB5KqkuyFpbp+4XiPq1LNYHwS43YkkoFlYryMQALMnUklt9N2FevdHc243EhMKRMzeigi4ohrvEDSXdiYHM+aKcXkZOTPXI9q1T/G9rXHQEATYnFwl/KLoi9QUqKm+XDO+aY8YdyuTr2kn0XTEgJ2RBsiBSGq4LJI8pvbJPZroi2xdmhMBfk+guXo8Aje3KeTtTy4t7o8I/szEZ3XEDO0V1xtQhwGJZxZCa0oWYnNdBFZmc2tF6vtI2AqZqt2HGJDR5AzdvgiwKmWg4nw1xKzOn9x7kobhTetpNUxC624aIWdztEfsGWO6kWlEMo6K0tkzybWlTkHrbGnYvZIyT0UM/ApoPu+JgJB6jgbXQZooLyP17WWiTe5EoNwzFMzNaBj2dzxilFI78efjfAISGNTVjEHj/6GoxwNERA9EI2RRWIY3UcaWMWY3jrE8MsbFNvXyteSgID2mMQN9M9pLsvE3IMbkkwgYqwvIoD1gAgInM3OZWxGg8BGNfX0sSBJ1KMbcLWhdzWz0u0Z5l1AAtwvzoHehHleR+8i5FgF9zdFw2jQZC7OTm0wuj2icUyn3MzADoo2WSN57FQ0BhdPRvtrANKKkrEWRkGe1GNezRt+8RB3zSwS8PUuJ7wKkPfMKdcCkeG45cvBhOwQoLJvMldv4CUdtqHUsPnwJ/9t/v5kmDiowoTqqo+0OJJ14gWD0YiM8OxbXGymR3pATXNn/xWOzPJ0cUJiECO+O9TaYZtSvM7kn6eImPx5JQWdFhPdWsTlvEBvXTjSWGMyCJNgZYVR0fpg5A1sJSeprbtSIwfgV0sS4GUkBH0JaGfchcGZucg/RxfpnEv2bkfr8islvy0a/PEYBiECSkVdiI+2Qlh31vzXO50REZCP14+ReTyStf4vcRMHi2AkRTXU32Wj3k5GEoCeSNH1KLsnpTh01WATK9C2p4y5IsvwbEpX+5PcO0b6fkfti2BlpUaxReMcCyGwjZS4GRTuvSk4oTYo+vT957lAiFFwT7TCS0I5Bdtq30JCB7E9oZtToi9WR2vr1SBLdKfrmDTS33izri+jjNxCodj8ag1noum2irKb6cG+kbtwj+nArpF2wdtLWcxTydENqolk/Z+Nm3qj7pmg+XormVF0waUoPpDWSMV9PApvG/czJYVOmKR0QOPpA9NVWiGnLpOlzonk9qJgvOd+WXLPlX4hx7IykcneSa+3UM63YETGs2dyeRL5e7YvstudJ2nw2xPBtgkCIPghAyXyzdIox8DpN+PuINjAEzr4c9c9MWNZFoflKQb2kjLExBjNw42AERI1HUshDaayS3ofcXGAhxOz8HDFgmUbMvMC3BIBbqw1j/F6ftFGqmbIlYu5616n/+Bivmcf+noghfgWBIq9SQyWdct8dO8WY+E3Wdmi/6lmjjMHEnhzn56J1YGbEjJ1HYkIXeeaO+i4XbfcaWsduR2tRd6RN8QxaR5oCdgdFG3ROvuGypP59adr/zs5oD10L+D0RlhatVx8TkvpWXgOKjqSzsXMVGv+ZxtCBaM+as07+HdDcm5SUdwm5xt5sNKYvhkbfbV+4nzm7PBiN9ZnQmtAlfW/h/XsgQcLhhIZajKMzkXbFcyShn8u+I/l/C/IxkZq9XRn9syIlgAr5+tMJrfOXkwPGV6E5nvmUqucjoTcJeIqAi2x/2g+tXY00zaIO3RDwNRqZ1OwY378D2tNvpQmnm1HW8dH/mX+t7RBtsXJcd07rXB06KjChdY42r0B1VEdrH0hqmiG0/RGCPiAW/A1jk1oeqWSOpnbUhrUQ6HBsXC+CCMZfISL8DQoETyt/x3BEFI1M7mXOvW6IjaIsVFlfBJRkfgW2RzaR95JLUc9DdoVNEc3dkATpl0hStQRC8nsjYrbUmVSyyaZmCpciZiN1OtiL3MHUD8QBkkYcHdcdoh/XRKDKbPHu52LzHFXn/WMRQTULIjZ/TW6TvzQijGraQcf9ncijb/yBnPCaHxH+B9Zqv+Q9r5M49KMhQbUZBZtgGkvlD6Chg7LtEQhTBBRSB2gTEHNwGyKK/hhjeAySaI5DjNkGiHkY2owxOTtiII+L6xFIIn1aM/IujQie5ZEU8gREfHZBY30UuSQlVYHthgjURcmjE+yHxvOWJJ7JSXwrFN69fYyXzJlWL2QqsTEiXhuZ+CR5z0UMT+ZI61qkBXFKtMcKaJ2YKlKf5Nt6oXnfG6klv0wCfiBCeGRJ/i7kBH0mabuE3M/F4Li3Nlo7uhTyr4gI0yXjuqjZkhGp3aIf6zqYQwDay+l4Q0DPKzE+PiIxFUq+fy0EomXq6Nshm+rMwdg20Ve1zCKyemagWocYRxcgzYysjTag8bxqoKEUbfcf8sgBXWKMXoGAu+L8NQTqHYCYlOfi/kjEAO+B9qi1EFC0QK33Z9+C5vSuhftZH5Uy8ck8vBntfevEOL44+u9sxLysXZJvNXItjjJA4T7gyrL6Fp6bA61Dj5AzfnPHmNi88Gza7vOi+XcBAgGzvKdEmw5Hc2Qlmoi4ENcD0H6Q+T3pgtayFwlgq14ZaD85H82ZLZF2YccYVx1iTNUMA9oK68LuiAYZnNy7DIHmxyKzt3nr5N8VaQMNQwDapuQmDzdSw+cNEqDsk8yhAQg86Yv2g8y84a/UcDIYecchs5YJUeaZiHbri0C2X1Bw2FijH/on52fHd2dahAdQAqikY5gcPJgBzd+Lk3u/RCY/pftKPLMW0mK4ldx07sR47xYIsBpao+6ZsOVAtJbeG/mORmthB5rwaUBDbZ2j430Z/bsL8vM0M034EfqpHhWY0DpHm1egOqqjNY8gCDZGDGfGpN6KGNmbY7N9nHA2VKecORAjvyVixh6P+4MQE34PuQSjYyt/Q7bJrQCcnHxXp+S8DyVqb7Hp9UQqyBci9brbkBRud6RZsFQ82yfLMxl1HIGIv0Zx22nIyD+ACJtMsnsHIhKaCo21M3mov1MQePBPJGnImIkdqGNXjpig35CYL8S4eA0xXp/QdNz4nohAmS0Ig4eQFCNjPOYra4Mk/4DY3DOTiE5l70n6LjWDGEJDAGISUsPOCIWdk74sSmnGIuZ5ZJL/KOTjYiBybnYlkvL/iqbDjc1KrlkxOwImsrGZMSf12qELYhJfTe4NRwTTFRSI/5K2yQCsO8nt05+JfmwO47AfAqNGx/k7SGNpXkRED6hT9zMRsfg2YmL2RMzQ68S4rvXeKTloGFIuA0EuQAzMU+QSyfEkDvoK4zdzsLZm9Pkjcf9CFFUkU0leAQFKRXXmsYjh2orwCRPj8BHCeW3cO4zQkmhiPnWJbxgW16lEfUPEVNfy9TARMT//QWv8QvH8+2h9/4gSQAxJ9zKttLXjO88k14Q4HIGrq1Hup6OBSja5FsMuiNHITLe6Iq2KYiSarJwZ0Dr2H2C35PdVok1uj28YXKf9liFnmjdCGhzZ+zeNcVrPQdssaF+7La47ozXsGnIgr1fxvUn53yfjINunMoZoJcSINdLQStpgeTSPhkWfTSTfhyaRS/Zr+aiYF5mGfEhEKIr7p1BHglsoY0G0ns8Q/XUg+ZqaOWSsGTEhnluYXKvqaSKsdPy2J5PpP6kFa8PSaF5moTxXITf92hKBcwsV8jRgYtHa2Q+BCveRSK7RvK+lEfAzwn4f0Rm/RNqTH6N1cdbo15F16r8EAhu2iuv5oy/OoSBJb6IddkNz8EbCrAQJIt5BNM+7FAAVBOrNk4y5h9Eev3G0y5Vojc3ox6K2mhXKehZpQRwMvBv3hyLQ9RYSE49C3s1j7K2OwNmlyLVeN0dzuRGQgIC3FZJ2+xkNI5Ach+iexeO6VFhWHToqMKF1jjavQHVUx9Q4kCTxccT8L4ykWJnjmR0Jx1iUEP+IWBtNQ4LvDnJv24sgqeoZtFJIHaRevFrh3iikOrlYcm91CtKbGuUthYiKk6LsjPC7moQIa6KMH6TDyb0e5A6VGoUKS55bNp5ZHAE49ya/3Q/c2cS7JyBi57eIWFgPATxHAOc3s96HAwfHeUdyYqkPkj42irxR2Ox3QUzWQUEwpATjXjRDEo2ItbNjc1+k+I7Cs0NjXA1FEolz4lgm+aazge+o4yARSSG+J7dn7Zb8diwisLogyXx/yu2qM3XLGaO9rkfMREa89kcaCifGdaNwoklZWYjDAcjXxPHJb0siKU4jr+uIuTsnxnwWZutNJE0dhDQzGjEPhT7M4rpvjYCA+5Gq/AYI1Kpn4pOWMwaN+y7kzOQOMTamitpovO8StA48iBignaMNMpOYlZEt75Il+fsi4Ge+6PM/kQOgsyIG9ilExL9O4xCcI2PcLlO4fzgCKDNv6ZlmS1NOO9M16NRC+67exBjalNDEIA/tu078NowCoFLIuwuaD5lN+PpIi+FyQlUbzYua9v3xzP5oH/g1YuSHIZDlDmqsBYVvHIj2jiMQwb8J+byeDzEkNQl/JGV9BDFOlyKJ6D6Imb0ZMek1oxck5WyOzKZS56FXkfjiqfUd8d3/pkRDAc3Ju2iojZZqoS2GAMAxcT0JaZKcFv37OwoMaKH9ZkZrQGfEhF1I4uQVAStN+ck4ADHOv0BAwCbRF08iBvJd6gDkyXfchfaU9RDAnM2rTdC+N1mRXJpq/+R6NgSIXRH/n0SCgk2aMQ63R8z+zxDjfAv5mnYAJZp+hbKGIg29V9G6lIWd3h8JD8pCIpfRWZeg9SUDh+dGa8vJlPhbKck/Hq2FA5H24InkZozbIVCnLILF0dFHW6O5OxKZbt2IgJXOaK84vaTd+yHQoHdcrxxtuSGiEeaL+3PG/05l3x/1fSby/pfcXK0zWpveosT0Fu3Hf45xuiqix45H62k6F15C+2MPCmai1dHwWHz4CP/7f7+dJg4qMKE6qmPqHoiQWS4W2D5x7wAaenu32Egb2VOSE0srIQb+KbRBr5w88xC5euoYRIDWlWA0s+4zxEb0PSI0x5A7FsuQ8wkI4HidOkxsvQ0DgSSvU9sWNmuDWSixt0WSmMURM7BmIc9csbFmm+d4RGgtj9RG5437mW32iFr1TN43KzkDnpZ7IyUO+kry74CkFKkt4/I0z/5wIiIY50ZS3QfJmZeNox3raWUshICIWRERvC9iwBZKn0vyLYiIs13IJYP9EEFzBrnUcGUksVitifpPQARTxvynEuDHm2p/xLBfSgBqCJi6CjFimfTkGBRjvpEqb9IOyyD72syOfgDSCEn9LPRKzjMp53KR71RE/O+NpLHjo+1fAdZr4hsyRiuT4M9FruY/hjr2uGldavy2PCL4aoZNbI0DMa5fkatiLx7t/jACWt6l3MdENwR4DUTA1CGIwNySJFoIAow2IpcGpkzH3hT8DyCC/XeICTgKgTOP0rRmy1rIPKQLAkdOJZdKbozW2zmT52ct5N8POCO53gL4GyK86zlES7/zf1kZyFwsAyx3jXtF04IRSALcB+0rL5CbxlyE9pLeaI2+iULYvEJZu6M1pBci8Pch97GwJY3NFYrrw5KEY0bEPN4R5z0RYDSibCwn3z8ivmGeuF4/+vCAKPsdyk1kyvyebEEBUCBnWFLgcggCOY5FzNOCyAnuWckzExBzdiH1wz/ujzQPnkEM+2A0vi+kmeZFSHqfhYK+GbgmzmdH6+oOxTFQa11ADPgC0f+HILX8h2KMNAnotHANSPtgKLlQZB20vy2GaJsjiOhNdcqagACprjFuvyT317QR2oNqmmaQr8+zkNNV2d48FoETRQe2af1HxtgbEGP3CLRGZ3UYQG2HncU5sRW5yWLn6N9baSKEZzyfOTLOorX0RGv6DXHek3LTiJUQCHJM9P0otA88QU53jkHaGmXOHjsgkPdyRBv8YB4Tv/dDa0VNk0MkIHoI7YurI/rxCLSmrolAzstpRjSg6qjAhNY62rwC1VEdU3rQ2Db897HBdkME8V1IUt8DSclrqdGuFpvzogj5PxahvqnTwKWS87rOzlr4DVvGhnQhkpDcj4ivuRBT/itEAGUSkHqgQdHhYj9EeLxL0z4S1kEmHLfHpjZLsWxyT/wpkbANIqQyFdgVENP4Fg099Z/bVLtRgzkgd8JXxjxlhO7SiEBfCBHQt8X4mA8xYr+mJHRgoax5kH+Ci+K6F5JAXx0b/3PUj18+ARHqP4822TTG1L6IoShKHLpH/25buN8NMV8nIALmbGSisXhTYyB+H4c0OzJ1zUwz445a9Scnajoiou98YOe4tzECFHaJb7quiXYYF+P4AhQqbq+4PyfSajg5eXa25HwwYi4z53qjkdR4H0TE9qGGw8+kjOUQQJfZzi5OLjXaFa0XNRngGGvr0HguzYq0A96hjmbOlBzJWJ4Rha17Ergv+b0XYgDHUqKRUHhuNkRoDo058Ctynx+LUR8IOpeGWiTjos+XRGvJdogpn7mYv9gvaO19DElDZ0NSwTuRJLNBX0Rdv0dMczb2JqK1eUDy3H1ofjfyDxDvWy7OV41+2wn4htxB2YzRx9dS0AiItn0RMSxzobF/bfL7GKQRMjDe1adOP2yIgJw5kvcamkeXIXCmuCYUGbLFEKh4Snx35i+gVJ0erRtZP45DpiCH09Ah28ZIKvpI0iappkG6vq9KaPnE9aYIUFitsG5k7xyC1slD0Xy5PdphGQTm71Wob+ey98b1BoSzWCQxzpxTzhXln00JkIPWitSHzFjE+GfaCZk0flidvhtBDuTugPbnC9Eaum7y3MxIa6ZuFJTJXQvifB+kffICCbCW9MeL1NdYWxIxuRcn985Ba+31CKhpjmZLI5AV0VevUF9bcd945tY49kJrwTExJmoKZgrtsCzSjFsy2mJk8ttdNAGKJffORPtSpkXQAe1XNYF2BFqMiLxZ2O1jEJ2zIJpTb5HQKJQDcgcjOuv+5N7+UXaZP5J0fqwRY3AiWv8yQGGv6N/fUkVtaPZRgQmtc7R5BaqjOqbkoLZt+MfkUu1JiFEfTA07vNhIDkVE7OJxb7HYKH5GIrkrW+ynoP7ZRjIvQpyzOl+GmPHLyGOfN1KZS/IPIiFIaWibPw+yLVy9mL9QlyysX2/ERD5GM9QNk/y7IDBndGxuxyAtgoWQROJ1SsCMGht9Gjd5JkRQvkwdMCU22XeQeuPXiHDdItrwHsSUrVuj7kXifUtEeGfv64SY2IHUMW1BROVd5PHVN0YS/hURE3EYBWIl2vsecj8MuyOm7dfkDp3GI8ZyXAvHVxFQ2Ao5X2xEuCEG4DTEKHVN8p8d48eQhPlENOfWLuvDeK4Pklhn6vgrIeY+U0MdQC7ZNEQEDY3rRRBhfHtS5iqI6TuAEn8bxfEQ3/AYkradieb/PxFDvSL1pW+DkSOsWvbXa5HH8G5V1VHy+bwWkjRlJiIPAo8m7VPPYWRKeC6H/AEchUDFhaNfziCRLtcoZzU0n5fIyk3G6GHUMLeioRbMEuQRDHpEeWcjoKwTJfMJMYlPIQDvQQSkbY+Y3r3RnNoagRHzlrx/BiR5vQMBem+SM4T7IeeZmSPTGSlIENFa9QENgeNhCExcJrl3BU1I/2JsH4gI/eHRbr9Ba1Kmtlz0lj8GMQvXIaZrzjiuQ2tY5kByZzSnZirkH4zWnDVirP862nkNpCL9AbGOoPn9AvXX1T3RmnEqWkuyttsY7ZcjC8/3Rj4NMj8xPdDeemAyJp8F9q+xfsxYKG8TJHE9CDFf2RjsiwCzMjOt8fFdvyA3xVoQjf0nyIHVSQigKAtjOo4kvCeadxMRU/9GtOW1Mc72as11oKQuyyJhQu8YMx8AF8RvGUjQlMnXALQO3EniODrG5SDqmIggpr8smkFntO+/RR5mt8wX0OxoTc0EEWuidTmjq46hjrPIpKx9CH8xCEDaDZmsbodohFeoH71iORr6UDo+6r5a9PdbFPznoD2jd3LdCe1Pj5D7jjgcAd43EX6YStphLwQGdkbr2PPk4ck3pIZ5DAJXrwFWSdrzBrQPr4Noh8x0qCvN0K6pjvwYNnyE/+Pzb6eJgwpMqI7qaP2D+rbhRyPCp2c8t3Nxk0ieHQhcFecXRr7MzGDxWLSbFW97Cr/nMsTE90aE0LGxWfypbJNJ8o2PZ24hHEXG/RRQaI4zo7GIuNoQgQqZJHfeFnzDdkh6vwpiXPZEjOdtlBAb5MzTeERon045sziYnNksI1b6IunXYKQV8Ra5LWZ3RAzNU/L+1MFhEVDYiCZ8Q9Rog5tIQoLFd2VqyaWOJ2PcZVKnuxDRtziSKG5d/N4W1mdcfMeu1JE+ISbqeyRxPQ5Jq4YhBv5QxNBlEshG2ikl5Z0fYykj/jdCGgmbF78FgXlDyAnkIYh5SlXbV6NpgnlRcuDkRETsZ4TWmdTxFxLjaAEERJ4X91rVuWoz+ysbvysU7j+GCOm3KVEJJyF6aTj3l0Ig0TFoLRyAtE6aYoR7oHX0VBL/IkgK+oP5SCHPAmgdmhcBBpcgzYgsYkR3xGjeSgI6lJTzMzSPOiEb/8sRE/4zxFTdXDaOY9xkfTcWAUhXZGMs/u+DwMZhNd69L7kWTQbg9ib30L4/0sT6LXUcdxbGZPbNmyGw5BECtC48uwbS+tgYMa5XRp+PRHbdF0VbHIlAkqJGw0JIC2J38vVvYIypl+L6wPj+jDnZKN7Ri8Zr6+jo68xs5g/x3owJWo+SvTHq9xI5kHQcArCyPlgRqdTPQ8P5OxaZYaVmMFsixuvWpD/2Q0BBo30tyngKOdschtaADDw4DK0DhyNG9LUa42hsfHcGwPeloRnOrvH+WdD4rOurYQrXg8FIk+Je8ghNMyLg/LK47lXIM5TcvOsHTSFyTaUGNvY13pvlWQrNxR2L70naZvFCntmibbI6dEcgzoZJvlOJ9b6Z7bAiAqH6JPdmR/PkDqQ112hOJc9OQrTIVWgfzIDa09G+dy3lpoujkY+R7NtuR+vQUjGWDiIH37vVeHcG/GVmjp0QqHpN9GtNbUdkgvM9ArZ2RPvwPEi7YXYEtj1KM31hVUfDowITWudo8wpUR3VMyUF92/BHyaVqZap5GWEzGBFt3eP6MkSwZwxTzTBbk1nnoup06u37PuTt+4Dk9zI13ixPV8TAZ5Lwm4EXk+dqgghJGRmTvgRiZF9MiIC1o0596uRfFhFXo5F67YZIArlqUseuaZ5COWNio1wcEeipGmaztUBiUz8OEZ4D495W1AdibgfeTK6LgML6KHJBTXvetD2QecBeiGgdHveXRgxAGeFb9O68KyLCMhXcAwmiegrH3JqIgWgUAaTw3IqIcBqCAITTEBP3GGIkdiCxkS4ZC/1p6O/jPPKIAYsgoOkPlDByiJn5K3BOXC+M5mWzCE7EQD2BiNSbaKjdsjGa002GakOMxgdJvX9Ux1WImc1Cb3akYYSBtamhhhvz75/kquhpvmWQVOwkCva49b4PScSPjP4/EzHU71Pu2MwQUHEiAoJ6ozXlZ2huZuvMfoh4LrMpzsZRF6RVMBuyS/443n8bMr9oxLyhdfzXwHZxPT8503pk4dltaByOtZF5B4kmGtKQOhTN5cspcZCWnGdzIMvbNznPwpsWNRLWQMzt0oX7xyCNhL4ILNgVgbTFqA8zIjOW7Urqsw05UDcq+jMFUnsW88R11+iDLcn9DVyOtDvKmPDUTOLw+J7jEGNejNjSp3A9DjFcm8YYyTQKOsd4ugQBirsiLbeyaEaZgGHduF4aaRBciJjGmRBQcAYap2XjOCtjnbheINp/ZPLMCAKkmgrzv2yPHI32qo3Jfdb0QeO96F+kF5K4X0QuEEgBhQFoHF9AnYgL8eyEGFN3IhBpCxo62CxTyc/y3IHW+kMRoLUtAjJGxnNbIdOlZoUsRMz71XE+Q3I/A6trloMAh6djLO2P/K08SYCBCFiqp602FgGCDwDHJPdXi7F1AgIIaplonkPu9yZbGzojYHEYdRwBx7MrAp9H256A5snvo006oTlT0+StOmofFZjQOkebV6A6qmNKD+rbhhdDnc1Bziin9pTXENoJcX11bB4da20Qk1nXLBRTI1U88jj2aT3qbVATEKr9IA3DD90EvNOCtnsHEakzILT8QqQRkXlLrmcHuSYCc85HjN9NiGDbODa8ek61MuL6NMR0jEMSg0ah/kryZoRRP3Ig6RRkf5wRUMMQA9mUBPYXwPNpmxd+n0gL4oUj4vMsJNm/NOqwTlPfUnJ/iWjbUa009urGqy6MiTfIHUGORCH4XqfE8WPSF5lq8ZnkzPDpiBG4FklcF0DE0PJJvnnJJZg9kWbE+XG9aLRjU5ECRiPwcEYEYNwWc6oD0pJp5B27UPdlkNRn5ci3H2JC50uf+zEORHSflY5FpJ47rBl5x9JwLeyafONYBCa0SA0WrQsrIC2FHSlXxU2ZyPUQ83EVYngWQ4DCReQ2//VCcRoCEzLtmHfJGbshFNT64/5CiLHKnutA7jx0IFrH9keM/KPkPgfKGLdVEeg1Iikr64c9EGjRpVjn5HxXBKR1LPlt9xiLZRo2ZxKh5eI6BYNuJKTQddqtM9q3esd1x6TvR6G1+Sw0j5ctqVt6PgmpYmftdDi5Sve2yNyglqZfOhb2RcBD5luhlpnhUOQgc7O4XgUBeoci4MSQtlYmzS31exR5J8RYWByB2scgR7ov0nBvredgNfPDtFiUsV/h9wUQc9qHqWD2GOfbo/XzFATSjkLq7ZuQOyystXcsHe11FuUaCvOg+VDPT0E/pCWSMcFbIoBvG0o0FOKZDBBbMdpmaSSgOALRCgcjrZGrEShZSxpfpn04FGn0zJPc3xyB9zWdPsb1LAgY3Y7wPxNj+B1KHC3WqNNqwLdJG1ocq5HsT4U+zPwx3E3siclvo+uNwRpt+w6a50sjkDebV80CZKqj8VGBCa1ztHkFqqM6WuOgGbbhsRm9haTNC8cmdxBS4eyHCN50U2hVr8xR5hpI82Evyr1vD0XEV11JOCKef4nU5y5HUpY08sTtFNSkS8oYHht6RjR3CQJgfwQOXENu816LaLmQXANhjmjPk+N6D0rCLyZ5s746CjEeD5OrQ28K7N5E/SdGf96HpFYzxaZ9BWLiX6UQ7i79FhpKru8AXkiu627OSRk9KI8F3R9JDbYiJ8aKBM4oyhmzmRHT8S5TyclfM8bp+JhPqRTKCv9Ts6KRCIBYCDk5+xtwYfy2WPTnIMSo/RD7G/kGeA0RSVkYzx7Rr5fHdU3NnOR6BcTk7IrAtUwTZmT8byQFT/KuiRisixGRex1ioA9A82O+qdjOWVsuEW2XhQj8NfILMBDZRL9HYsPfRJnZWpj23coISGg2KDaZ37MfYrKOQ4DOjYiQnwcR8tfRhHZMUtYQ5Aj1iGY8uyLwfXL9MOFvJK4Hxhy/nwR4rVFWat4xIrm/CWIw6wEh6yEwa54avw8ktKZq/H4VYpj6xHU2jrcizDfq5O1DwUEtOWA7K5K+HkUTfleQo8oXSEAnBA5fh9bW52kC8KUhoJBFElm8zvNzof33XAScPY2Y6LURM39C8mxN85jkmbFIu+Dg5F7PaNuaa0G9MsjBoXFovWu2P6GWHkgD7Dmk5XcK0o6bAzGudyAa5gewKPIU18QRCLg9i3JAoUkGFJkspSFED0drYiMfG4jB/ZDcZ0AGwC2OJPq7xPWCCKxpDhi1F6JvjkAaF3sgjYIDoi7vUQCaaQzeTUyuTycHGXdHGjrNNlFB++IHNMPRZpR/FgIjF0N0SvbuzdGeVzMUbI0yJ0S+3nHdpPlqddQ/KjChdY42r0B1VEdrHdSxDUfSzzfJ44rPiNSub0FEduZZd+Mkz1SRRiKHRVcg292+2bvIiZVJ1AjfGL8vgFTeDojrxcgjT5R69y7kz4iJMfHtwxAI8Boyk8g85fco5JuB3GYzs/27FTg6eWZV4IZm1GFuRJwOQ4zUv4kY2YgoebvetyBG4yYk4e5BHjWgc9RhPYL5orb0bQgNvcj/kpYBCmtHnnuQ+mezpQPxzU9TorIeY2ELmgj/+CPMp7HAp5RLgmdChFJmCjQm5tMaiNlYkMaSwIUQIZQ5cOuAJI1DY0w/CBwSv/VEDPHCxXlY6MNlkBr2IOSZ+7Xkt+2RJK2umRIC90bF+VyIcD02rk8jieYyldp5zZh7RyBNo+ExNn8Z9X+CElCsiTLHAR/G+cLIfKTU+egU1j31dt8VrR9zx/V8iHi/gtw+uUU+KJAU9GiaoVWTfTMCEo6s8UwGYNZd28nNOx5HKvHHIxBskcJzPwCTaB36OwnBR43oCCXvS4HNq+IbUs25fWIsdmiinJ2ivYel5UbbXE5uypfOoQVI/OLE+1eK80yFfM4o43gam3dkgEXqp+OH/Syuj0VzvyYDjvaEE5CZ31HJ/WURWNzIAXETfZhF3OgT19siuqBUql6njHeTMrZBQEurAoxoPxiTXJ9KEvoWaSz+Ks43osAAF/pzYbR+dkTr4olora6rZZWM5X7k83XvmAfDkno+jrQO+xbyL41Ao3UprLkIfPmIFjDPCCB+Eu2FpyJwshfSLtofzcuavqwQEPECiRYLAmmuRMKSJ2iGz5OSctdAe02jfTF5ZhMkzMjMKDogQPdtBLC+Qh3tmibeP7ap91dH848KTGido80rUB3V0ZoHNWzDg5A4O84NEewTEcMxGAEQz8fmM9WkdwjZfhYxws8iIjHbuH/wg1CSL/stUz2/ADF6ma3rwrHhnoIYvTL13QblIxvcxxADsx0iGG8gABUa28UvExv4JGSvN3MQF/cTYQ2DoPgVYvDqEb0LkIdbnA8Rba8jdfjnqRPCMt77AmI+Z03uP08T2gzJs/sEMfEwifowMnn4oBn5l0OEaV9E6D5JM0OFIqL5Q4JgpoZTxvZwIEnIqBp9MACBdBlo0w1ps2QOUU9FDMSwJF/mFG4tpNb9ALk2yuIxlo4uG38lddg3+jCTum2KVGh3RkTwSzQ2c5ohqUNmw38neZivDohYvO5Hat9BMW7nQpKs12MsZV7Oe5ATpJPjePNLJN1fZ3LKaEb5qbf7LjEnJiXPbIJA3MuQyVZLv2Fo9E9zTXQyVeSUiV8OmUvUVOmuUdYMSOPh6BhTRR8FKQOX+TiZHUXhOS75rZaZWiP/BMn5VcAjcb4hEXquGXXuhxjyixCoaogpe5uSCCBIm2FvtGdkwODd5M4PMzCiUci6yJOpcY9Fe8/ehWfSfmjSvAbtQaegfSErew+kUdCsMVAyRt9EWhlPMBnahjQUUjxJMzVrWlD+eLRWHYPWA0PM/4nJMz1iTNSVREdbPRNteDoC+OZHmkKX0YQzZUQTvRptNQmt6WfF/Lk8xtGgOE8jm6TmNI8iumoGclOAORHQWM/pagpMbhx1yPaSfgiQ+iU11kOkwZVFw+qP6IMBCIDYAAEJq8f5RVPSj9TeFzNg7WRgpzhPo+vMgPbOKQohWuv91dHyowITWudo8wpUR3W09lFGdCBk/GnEKFyB0OG3YlO8FDERAxGzvOxUqlcfxLgvGdfrI5XYSdRXw8426omI2c60GS5G0ts+cb0IJd6IC2WsgaSdkxDzltoDD0HMTE116mir/5FreHSKDfp9xEh+QH0gYInkfCCSHlyHVDhnCqKjpuM7BFbMHARB5rE7I4L3JNQIa31/nG8OPB3nJ6JY62kM+WtoQvIUfbcpeeSLeeN+XUdKSf7TERiUSYtaze52Ko3dH6IuFP7vh4jHzAHoRUjzZiJiSgalz8f5wggM2jfG4s3kkTaGR3k1VcHjubWQGnAmOV0AmZUMR+DOyZQ7V1segRy7I0Csd9x7ENg0nlkOgUyzlo3BVmzTxZDd7GC0Pv0aEf7HEB79W+EdqxISztb8Fhp7u58FEe0rInXezeP+pkh9vVnzosa7WsREIubsN3E+CK1pNUNptkJb7ID2kf1jbM+OouscVSdPuh6tmZyn8+RKpN7+UtlYrlP2rGgtfAcxgc9RB0xCDOciMWf6xZj8PXkUlM0RQ54Ctz2QlsIhCMB/E/nT+E2Uk2opNPId0UR7zEPO/O4b42xKGL9mOZ+d2mXUKHcU0p5YpnB/IAIB90cM/RYIdKwXlnhjBHb0QTTOr9He2jXWmCMoOGss5B+ETCiWQiDep+Rq+csgoGIhFOb3PRpGt7DCN2WAQqYJswVaF2as8e4iMDkvmreXJs/Mgtbum5EGYjpXusT3z0aufXQroldujrH0OMHgt2L/WfRVEdjYE4F6qaPItWmmqVpL3t+a5f0Uj2HDR/g/v/h2mjiowITqqI62PVBoor0R6n5LbIgzIQdvV5MzJTdScJTTinXoFBvqjsm9AxEjvh/1UfvRSDWuSHQcH5t+72a8f3UkYVkd+VS4H9ii8NvaJflSQmFlBLj8IoiOjFDshwjShYp5CmU9DTyaXA9CAMmdNO0osTNST1wurrdGEqtTEMH7IUn87Br1H4oAiwFIWnUHYih/A9xe590ZM505ChyPpOpPkAMJ60a79iy8M8u7SOSbGxF4+yNTgCzyxI8ehrCF43dwjLdzEQg2Z4zpPZD/kaGImbwy+nmDkjKGI3XV/eJ6AJI43UgOrJSFHysSaysiQnEfBAg9HmNhWDO+4xoksc+0aTojZuG35CEIp4qvimQsLI0I/+ybd03qsyPSPGo1ULPWfJzMsore7gfGt4yK8TABOUK9AUVhmCx13ims41jgCwQY1/URMIXv2T7WgGUQ85aZx8wVY+zQJvJnWgf9knupecAxk9t+CFToR262ZmXviOuVY14fgaS645Fa+uUIzChzXro2WnuvIJfCzhpz8SRqmH3VGos0BCDmjvp8WvbuyWiLFms1TI0ySsrcNWm7DNTPaJEhMa+uROBrU5F4RiNmejfkZ2JQrIk/R4BE58Lzs5JH55kDMd93kEcbGIS0bI5K8iyHgKNFEBg6NPmtDFBYN97xCiVOR+PZIjDZH9FrA2JuHJE8W1eqj/aox6PuCyONyyHx205o7e9SawxORv/NjdbC62lo7rksAtM3RjTmhggsaZGPhOqY+kcFJrTO0YkqVeknkNz9C+AsM7vG3f+R3TezxRAxPJuZfYokLje1xjvNzNzdzWwgsl/8HVJVXNTMRrn7Y8gkYEXgHnf/qk5xyyHi/M9mtgWhjujuh5tZX8SkPVanLr3QBrcBkvzMg4iU9c3sPwhY2NrdX8nqneWNbxiJpKYvuvt+ZnYAcua1r5kNRuqFJ6d5Cm2wKPCxu69gZo+Z2d3uvqa7f2BmryFG9PM69e/q7l+Z2ZeI8H3W3a82s28RENMbqeY+Vcyb1GU7xKiNRdoVyyEngf8ysxuBMWbWz93/WlaGmY0FTjezDVC/bYNCX80Yvx2H1OX/W5J3LaSN8DqS4D6AiDwH7jSztdz9w1rf39bJzIYgYvNyZH8/CDEZayENma5IInmou29rZr3c/T/FsRR5uwFLm9ks7v4HM7sEacqcbmabIyYwfbclfbgNkor9Jf6vgRiaCxFj169G/dN6XEM4OTWzV4HX3f1uM3sFEdhnufsbJXWf4hRjYWk0Dn/u7h/FTz2AzczMkcfzTdz9xdZ8byuW9Y8Yz8eZ2YcIXLw91jOAe8zseSRJ/K+7f9Ja725BHe+POs7o7vdNjXeYWRekhbAVWpP+BhxrZp3d/Y+x7veok38ZBBbs7u5/NbMu7v61u39nZh3d/Tt3P2py6+fu/1e4Ttf076IOy6F96VnEuO+MGNyzEEDSGTm2/HM8PwPyifEekpTPjEDF0Wb2sLt/aGYbItC8C1qb029O53KmCt/d3U9192+T+v3ezE5EITobfMdktsUXTT819csoSf2Qmd8lyfd/Y2YG/ANpLHVG5ox/LyvAzMYgAOKeGJNLA7u6+2/M7DdoDM7s7n8qZJ0PMd4zo/CZtyBQfoyZPR5786rAM2Z2g7t/4O7Pmtka7v6JmZ0LzG1mB7n7u7G2GYC7PxanZ0X9N3T3t0vqPjPS1lzP3R+MOXM1AjAeMbM1gdvMrKe7H5TSbpF/EDI1nAF4xd3fN7O7kX+Ro939ClPaHu0xG7n71011SgvSfxGQ/g4wwMweQjTePWg/3AT5uOiNwOI/tuK7q1Sl9pN+DMSiOqqjvR1ogxuPHJ+l3q9bNcQOCrH4NEKuz0XM/CGIeb8KmQXUlabH9VoI5HgVSbT3QbGLG3nbr3PdDUkgfoVQ/y6IiLyN+jHfl0G2krciRiyLY34gYojfRcRCrTbIPCCncc0fQwz1hkgjYslCnsHAznG+VLTfndGGl9NQIpKFchtHDf8DiCh7ilydvgNwGNJ0OAZJEep5aV8QEQwrJvd6Rv5Log1LI18g8OAmct8C4xADPDGuj6GJyBttPFeysHsTC/cPQ+rccyN1zwMRYdgnGTvZ/6Hkvg1mQRKw48lVUgdQw0Qned8eaL428mmCJECvU8cuG4Wb24Fc7X+/GFPzxRjd+0dqzyyc6tkkjsqiPY8vtnN7PWjs7T6TrE6gifj1P3I9W0sKWWYisB/SZHkwubc7sUbWyx/z6hFkYpOFM56q5k6xDp4W5zsiM4rrkClKv5inpyN18kbzEUlZD4lnHoq5vCryf7Iv+fran9Agq1GPXZBGx7AYQ9smv7Vrk69W7o/VkBZSqpmSmZCdRTjCLBtHseb2iPF2E/n+c1/0xc5on+1flj/Oe6A97MgobyvEzE8kX5szU4VOaf3i/HpExwyqUf5wmvbTUBqGk1zrcV6koVF0+Jjluy3y/T7K6Ia0UO9CtEMPZOYwVTSkEEjxLBIYjURmFe8jbc8s0lXvth5r1VF+DBs+wj/74rtp4qAdaya0eQWqozp+7AMBCSsgBvSHEEfZ0YrvWSA28+4IAHg+NpyZEXO6BSVRGxJiYQxS09s6rmcjV4teHDEkQ2u8Oy3jGOSbYCCKYvEcYnAXRExd0bFYGvJvmSBOMg/8myGGPgMUZqeOl2ikDvkWoaIZbZKp3Z4YZa1dyDMEqXVmTsC6I3BhI0T0fI+Ip2cIIh5J0+4gd0g5FyJ0M8/y2xNxy5P3rIhsG++iCcdc0Q5XJmOlW+H33nXydoh37JLcOwC4ta3nQjPHcTHsXmoH+jPEjHRADMQ8JfknEpEdkBR7YMyBW+O6LFpEkfGaL8btfNH+a8V4GI6kwi+W9WEyD4YjTYazEAF8D1oHDkYmFh9QYpbRSu2X1WEAOUG+EpIKbkxDQKEBCNPeD34kb/dtfZDYeiOGYe04H4IkuhkDtBkCtYYW8qcM1nIxp7pH/vOQZk2m3j7VmGm0h/wLgcLHI3B5OHIyeRECFBZG9t59k3zzIzCuC2J+P6ehWveaMZcPLev7ZFx3QMzdlfGuXdH+0omfUJi7pD16IQD2HKQVlQEJmyAAt8loAwjM3R6tw0shkOpKZHI3rE6+ZZBWyQQEbGbRobZADPG60S+1HIhuF2P/PQQMDSl+Xwvao1YYzjXje4rOP8ei/WBkcu8oZFaVOWGcFPUaPDXGVmFOX4SAthWRudwxSNByKS2IHlIdP/5RgQmtc7R5BaqjOtriQIzEbHHeWpKr1GtvV8Ron4ps9Z4hpKYUpPCFMrJNdAIiStdAKog/S54ZGxt4XbvuKONFZNv6IFLpBxGur0YZ6xXyzBh5MkR9PPAdIbWNdtskNsk9ytqusMlm8cMzs4hngshZJ35vEO4LEdcvAtvEdReSEInx+xOIoZyfxFEfuSPGtZGk4HYE4ByECLXNkRbB1oX6NtJGSeqT9cc80R+ps7Rx5MRPLYIry78xsiNeJa6XRsTfVItV3srzZVwQSbPEdbfku66vk29J8qgXh8SYOz/6sR/SCCmTgPYqXM+GCO6rkOTsDgRGbI1USOs5MF0VaQJlDuU6xZi8IK5TrYmpFQ52rRi3FyNJYhdkV/wIkgY2KxJIezyYyt7u2/pAJj3Hx5jdHmkoPYU0q2ZHYNmlyEb8ceoAk+QRSK5DYPaiiFk6J+5NFYaahn4YZoq17Pnk3uIIULg+5mrRvn5FZCbXAUl/T4s6b5I8sxHSWKgJJJGDu+cihvcW8kgY+wNrtHV/T8VxtBCx/sd1tvfNFOvgxbGmHY4A+NIwpHE+Gng/uZ4L+Uq4jTwiQrEP5yQJD4togiySzhrRJ/uivXUbYPE637Is8p2QRZc6P97dZMSOOmXWAibnLzyX+WzJIj2kwo+j0T7VM57bmckI/9jCehuib+5DGglrx/3ZqDQS2v1RgQmtc3SgSlX6CSZ3/8bd/xLnPqXlmVlHYEMzG2NmSyD7+a5oQ5kE7OCyYVwduNDM5i7kn8fMhrrsZWdFjPpGUcZHwHpmdlU8/m2Ud3cT1VoRWA9tvL2QDR/uvmvcH+vuv8zsHOO3fyNm7XwzW8nd74167GRmG7n7N4gAfAzFvW7QdomPhPFmthHygP0RksS+iry7P46IHzzsRCNPd4Twv+Lu2bf+EoWMyur3HrJ3n9XdP3T335pZto79x8xWQYTuHogY2Sq+dWdEvD8JLG9mOyVl/mCrm9zzsBc92czWQ74RTkf9sI+ZjUKaFW/E898X2qFP3P8ubr0AfAYcZGZXIsbhZnev6SeiPSWX3fkewAtmNrO7/y9++gr4zMy6JP0A/DAnvkDaHyOQic/OSIPhFCQVXcfd3y/kGw78wcx2iflCzNUHkFrrye6+NgKKlnX3f3mJn4skfYtUTkdnn4PUXrubWQeXve+H8Z4pXguKycyWR0TuxnFrB+To7jkEMO2ETEOmyRRj4xAk3dzF3d9q4yq1duoZxxYIXB3h7isiHwNnAs+5+45onVzT3d8sK8TMRiBJ6sqImf/e3d9ADNQlUd4srV358JezXZzvhubCasA8ZnYKgLu/hrSn3kRM7jdpGS5fNG/EMdDdD4hnx5jZ2PCb0xWFX/6opA4d4pmnzWwOZK60GbCHu38Ze8UWSENouktm1g0x7Nua2cqgfSf8a/wTAfRXIKDpd4jpbzCOsrXJzBZw94eB983s2fjtj5F3ZmBHM+tR7EMUxnmfaGvQOtg5zh9BAO1CyO/PVTEmsvobDdPfUF/1ivfvjsbuDdHPLU7u/hAy33zSzHZFwN22XvAl5PKbsBZwUvjd+Z+ZdY3fjkbmDoPjucvc/Q+TU58W1NuRgGY24F53vyPooL+4+7+m5rurVKX2kioHjFWqUiukAAFeQv4IOiCi8Xdm9iTy6r21mb2HpC8HuvvvC0VMAA4wszXd/S0z2xERBscgRmxe4Ddm9i9336usDgkj39PlBLA7UknticLefWxmE+P+LzIGOCFSzJXOM7P/AVea2XbufqvJ0eFR4STsOiTBKmsHD6dJJyGi5FPgXDO7INpoBLAl0hYo5v3CzC4FtjSzzAv0O+5+avKNHZGpSD/khI/0O4JxO8fdXzazbu7+XhBPtwGfu/sZQdgtZGYzBnhS1pYrIOn1rSjawCyI+fsE2UkvhJxE3ZM6FYu88wLbmNlxUa/v3P0jM7sQaUssCpzrJc4u23Ny9/vMbA/keHF+k1PGk5HWSgOnVma2MGKsTgmnYIchr9yPRR8NBb4uA3LQ+PwSSX0nxFg4HXgge97MtkTMx8bFzMk8WAA5AHzC5PTwGTN73d2vN7N+SCV4NjP781QCETrE2Jwb2acPQ3P5FGBbpEp+NPKR8I8axUwTyeXAso9PHSd1bZIsnIi6+69NTm5HITObFYCH3H3LAAZvMrMNioBWydz+FHjZzM5D5l4T4v44pDlzUAkDOKXfMG/sQ3Oa2Z8RKLquy+HjMAQOursfHGvmm17iCNjkGK8DAo2OMbNv3f0SM/segWEroz3mD4V8mUO+7xHzexkykTve5Pz4FjP7GLXrFkXGcXpJwfDeibT8toi14TF3/8bMOsV+/XwcNVPsn0cgEHZNM7vVzF5AmgJDkZr/IV4OUj+GwIPtzOw7pDH2p6jLt1FO5ygjfWfqNLN7PPNHBBQvYWZfuZxDXo98IH3W8hZSij2mIxIiDGTlDNkAAFY1SURBVK8FTMa++z0av0u6+z8DmPkG+DfwTTz3XVn+lqayfTpb303OUv9rZkcAq5nZTAEQVWlaSAaNoLIqtThVYEKVqtQKKYimDK2fE9mhfuDul5o8ng9HgMAkd3+4uDm5+wWBrl9rZlu4+9tmNifwcmxYsyHm9oFa7w8GahywlMkT9hXIt8CVQVCujJiyHb0gSY86eLZBuvtlQQdeHoDCHWbWCXlwfwT4v6wMM5sLmN3dXzSznkgSvSPa6FdEfhMeMbOZEPN5bEghGtXf3W8webQ/DPi9u++fPLMyIpjWLRIJSXvORS5t+So2+o/NbFvgHFPkgF8CN9UBEgYiW/rj3f2W+N6DotwrXF6mM0KiDAzoi+xNbwwwI/u2fyNC5720zcvq0F5TEHu7m9kXSONkX3e/HwT0JP0yDFg+8nwdfXqBme2LtFN2dvd3arzjaTN7GGkwbIXa/lSkAXE4YsSGA5uVlRHjeCJSPX3dzDojh1zjgPtN0VA+RP4zih7Opzgl7TADArB+HgTyRcgPyNum6B99kanVdCGNnc6AhBmAlc2sN+FQFNmRd0OaTZ+5+4uuyCUXIgDs70n+lAHrgbTDPkNAYl/kn+ObWJcmAS8UwYhW+IZxwB5mljnVG4u0Dj4BafuYIkq8a2bfufthNYCEbkij6G13v8qkgXSimWX7xD3IyV8qyZ7X3X8Xc3EECosH8g+wT7x/kkmL7z9onrT6XGzrlI4DlxbdbWgf2dzMCEDh2xr7SFl6F+hs0mJ8193XN7NbULvODWzsAvAb1cEVXecuBArtisy/lge+NEV0mgFpPH6W5k/G8b4INJoP7c8PIcB/dNAKyyJAqcH7W5q8mcCkJ+B2AihshTQEpjgCSJYKc3lVpG35obv/qbDn/RWZQjWirapUpek+eTuwtaiO6phWD3Lb+u7JvSWQ86Td4nowBY/KxfzJ9QFIlXsRZOd/M9Iu+DPh2bmYJ8k7BkVdWCF7DjnN+jUKK/kqSeSKkvyZDWdqX7sDshHObP2LnqH7IYndYuRen69GoMVtSH33BaSR0Y3w7Fz2Dek9FAXjkay+yFnUKzTh6R6p7z6EVJFBhFNnpFL/SxJnd3X6cjSyJ72V3H5z2ajPPtSwayaxj4x+PJ+pEJu8PRzRzuvGeeqcbgjSKJgXuLyQ56gYh2vVKTdzQDYYATfZuP4EAWMvRNvWizW+ANIi6Y1s3R8j9/WwHPBPEo/htebTZLTJHIRXc6QOfzeS5C4Y925Fzh6Xiu8Y0db9WB01+7IjYrR+jSS188T9JZHW1dHUiMCCAM/Z43zfGAc3xNxYGkUQOQ85A32DqeBjIubMr8n9hMwU3/Qz5O+hX9zvjzTXBtYoZ16kyr4cMs3IHOmuhQC5zUryzIJMzWZCIMvb8a17xu83kvgAml4PGu5nqyGzw0GIad8X7Y0jm1nWTgiIPy3WkRVo6KOpD0lkp2Id0P61MdqrZ4n+uxOZ6vWLtWupOu+fEGtqv8h7P/JNNASBw8dRwxn0j9DOqc+WZ2jCmfIUvGePWLcPRxFc5o37nZJnKmeL09gxbIkR/q8vv5smDtqxz4Q2r0B1VMe0eiQb9drI3vA+woEUYuLfR06qXgCWqJN/UcTAZgzP7kiSM1cc48uIDsQ0LRfnnRDBunVcb4CkuVsFQTdfLYIxnh+MIiV0ohDVIjbpj4I4TO8PDUJxCSRtuy/OF0TSthXjuTGIoC5lrJN2MBqGndoEaWIchmxsS0MvFsrqgQj9U0kcXSJ75kepEzkAgTcZoDIcOaQ6mtyx43LUcJ6JiMRzkC1+H0S8nUruoGqa8M4/GXNgCPCLGD89kF+KexAD/z0KFzkpxkQfcoeUddsDEbw3I0DmbfIwmqtQx9liPLMQIrrXQ8TlwLifOSZbMeq2USu2QwcUMeVhYP34v2XMyVMQ2NYb+Rt5iMQRWnW0n6OwvvVHPlZuRMxcFm1hUeQf4iAEkKZ5OiJm71zE5DwUa8HeSKo8CEX12AitqzXX5Cn4hlWB/xLe9dE+cRnyMwOy734s5uZH1GBC0Z7xAVq750I+Dn5JAHnI8WRZ6MKuiGFeGvlq6IL2t2sRA7sbSZje6f2Ifn4D+df4U7TFjAiYvpEk3HDZOIzrFREYcDTyqfAh8rvzc6Q1Um9PHBN5jkN+LvZF5lYTYxw0AoRKytgMuCi5HhnfsmBbt2/UZ02kMTBVnL/G9z6L9rgDEcD4L3LwOAvtOl3u89PzMXyJEf7vL7+bJg7aMZhQmTlUqUqTmdzdQ135CAQoHIccEO3i7jebWeZw7jB3f6VG/jWQ+vNrwKxmdjayPeyMCNENXU4Qy9JA5HSwl0uF8X7kfGkrJEX6FElEbvcSp1jQQIVvICJsM5t0S9QjLzSzuz2xAzTZy98InOCy/c/AhKOAE939nHhuDJJKHeAFtcXk3b2RCrB5boP4nUs93JDJwSFZO0Se0uTun5v8LuwAnGFyUPU1Alc29RJbxuiH8YhQe9rMvnH3A83sOiR1OczMTnT3Z8vqH+YfHyOP7lsjTZL3og7/AY6rV+dpNcUYuB5FRXg/7o2JNlkEmdl0RCYPw+O5F6Gxn45i2e7+d5Nt+b0oYsadcf/Rknpk/TAMmZH8EQFd66GoJB/HPDvYzLZ096fCZKZV1MpNDuUyIOV7BCrc6e7XmtmvkNnPFshPyQahwvtZC1Sbq/QjpII683zAv9x9JTMbiZj/PVH4w/8ikOFxzx2RZjbU35nZDghMmATc7+7PAc+Z2VcIdN7e3X8xFT/lb4iZn8fMPkBM/C3u/n8gB7wmR4xzI82vMn8d5vLzchUy2boBMa+dEKh6VzYnk/k3E/JR8lWsDTOhdbeju18KPGxmeyIAcmHkvHW6TbF3zYNAxXVcZg6PAJcjYOAa4H8o+kCDfMk4XBsxrd+6+01x739Ic/EgBFjdW7aOxPu7obVnkrvfGSYRuyGzkotNppUfFfOVlPcRsEbMiz+4++NmdjsaZ22evJV9tpjZzGgO/N3MFkWaCGsjoHh1d5/HzK4B3jazQe7+u6hHtZ5X6SeZKjChSlVqQTJFYTjJ3TePW/OhzXlJFKrwUOAiM+vu7leb2Z5ew7Y+CK5dEGDwksmp3GrA79z9rNjo+9Sqi7s/EATcm2a2M2LuPwT+7u7vmNmyyFyga51P6oGI4/uBfc3sMHc/oYTZ+2NS78FIWvUJAi1w97+Z2fWIQDzCzE5F0qeNEZDQCBAJAnQcsLOZvQL8xcyuctnYZ0DGjWb2UJTfLObL3T+J9/8KedD+B5IEv1f2vJmthCTZGyKCYV8zm9XdtzbZum+BpJQNPDMnIMTmCLi5wd33NzkWmwsBCguaWT9vZXvotk5mNgiZHZzsuU+AI9AYfM/d3wzC+Z/uvp3Ju/jnSf6sLw1wM5vd3f9c+P1xMzuZsH+tAzxkoN55SJvlT0g6/AdgFzN7HgF9h7r7HwOseqqV2mEoAk1uQJovv0SS553M7F6Xf4SzkLnD5mb2gYdNckV4tq+UrHn7IvCgk5m9jMDQh4BxZnYfUvWekM7pGJuZrXQHBCReDCxrZrO5PLtfGGv6+SYHr195ie+aVviO12PtfxCBW7tljGjUdWEEfH5bgwldBNgtGM9bkFR9JgT6Lor8Jdzv4SwyAVSXBVY0s3+g9e9EZO62h8nZ7Rnufm48e5QXbPOnh5SuUdEunyKwoKPJQeDdZjY/Arb3MrPLvHHkjGwc7oXAmOvQnrSbuz+CojbM7fJ9cVmtukQ5X5rZ35GjxIfc/TUzuwE4zQSW35KOgQKQsQsCnPogc7FvEFD6lnAKxiCTn3aRWhFI6IjArs3M7J/IB9ZeAQDPg8w3QYDizFR8VJWqVIWGrFKVWpJcURiGBSqPu1+IUPudkTO6i9Fmf7CZ9fdCxAT4QerfHakOLoJMA3D3axEjdGhs6qcUmR4zm9vMxpnZAWY2v0vSvh9Sux3t7k8FkDAaxfE+vhYja/J2f6qZbRX1OwToYmY9QqrxQ70TAmMBpKp6MdpUtzSz1eKZvyMm7nYUhWIYsHsKJJjZrPHtBMF7GgJghiP13I7Z+yxCDbr734pt2FRy9y/d/Ul3P9zdz0qBBFMYQ4vzmdE6uCFiAtdBTqaGmtmV7v4M0opo5CQv6n80YqA7IeJjG+So7F4EQmRRA6a3lDniyiSs9yB/FO9lbYtAgPlBGiOF/Nn9703aKxeboj4Q97O+/hzY3eTxvLT/A+A7Cjk3fMklLb4VaU30QEDfge5+V8yr1vLwvQCaA+e6+3nu/lYQ+KcBVyFnpQu6wlqeDFzsVaiwdp1MkUY2RIzSCmhe74jG9xnIb8qWHlL+LCXr424I1PoeaTIAHGjSXsHdz0LaMl9ODSAhqc+LaI52INbUqN/WyG/CTHXW07fJw/mehEyL/uPSNlsKgRNFBvhb4EW0hh+EQvL9Ne6dDyxjZodlz06PQAI0GAfzWS4p/woJDTKm8zsEopK2Y7Yvxvk8aD9fCfmgeReBlSDwf0kz62mNw/Fm+9pQk/NjEKjUB5lKgNblvyONkVpr6hbItOdu5NDwUGTG9zYyaVsFWNunctjFtkixP7yC9rcdgWsCSOiMNN+GmbTmdkLOrH/TdrWtUqskm0aOdpwqRK1KVWpmCobmW3df2MyeNan+r+kKs/VHJJWZGTFAW3sNr8rI9vaLkLp+i6TXq7v7g0hDYAhST/yykH9BJA1+DNmgrxmSsrMRwXK+SUPhYSRR2NulvZBKGzKV1JmR3eYDCPhYADlhGgLc51LNLUvdkFTpJosQiMDqJs/ej7o0CO5AZhodPfEObtJouA/ZjH6EEP8TkYOvOZGGxpcBknw4NYjtkIqtAMxkZl8i29FLkNbBgcgk4R0zexyYaGaLumLBF8uZGxHNT4e06QGkhTEBgSmfudRa30DSyftaAoa09+Tul5vZAODVkEQ+5e6Hx29u8oJ/D1LzbZBM3u2vNbMn3P1gZCLye0/CS1oeVeRnZnaDl4eQzNJ/kH+SV4Pg6+gy+3nb3ScV6t2afbAmkuzdWJBI/tXMrkAqzGeZ2b6uEGd/rldYldpF+g/SuOroUtffFTme28Ldr0SS9tJkCmG6E3Iw+jXwtcnk4SIUTvEIl4bCZ1P9KwB3f8PMVgceNIUC/CtyIrdNcW9KviHzTn+amfVHwMrBwK5mtr27Xw88mewjqbbQd0hT7W2k2XCkS038MbQfbGhmM/s0Hga1LAXj/pUrotG+SLjwnEnjbhfk/+VyUxScYWjfTPOPR/voGUgL8Dvg72Z2bDy/cQCvmyM/MKNd4SQbpOiT8QjA+Tjetwky+9rCzPZG4MQJnkQzMmnKdPc8ytKywPkBpq9nZucCR7v7evF8Vy+J/DEtp8Ia/rmZPQq8hUxHP435dCUynxuAQpxWa3qVqkSlmVClKjUrxUbzrSn0Ie6+HNDTzDKp+wNINe4iFHbwhWIZsdFPQLG170D2+OchfwGHm8IWnoPU5YtAwhCk7ni8u09y9zFIUjYv0oi4C2kWXAes5u5XuPsD2XuTb3BTOLA7kFPIO5Bq/33Iy/38wF5m1qesHdz9TQ+VWZed4JUIPBlrZqPi/l+RZOrFQvYVkenB7KbQfb9HTh8vR2rDH5vZmohwnVq2mI4Yhj3jvU8EYW3xHXOZ7FQXRkxBIyAhUjekvrqqma3k7t+4+3VIijMMfmCauyNb+ekGSLBcY+Ro1IaDEfGa/b48Uvf/wt0fLuZ3aSnshECWI5FPi78Xnvk+Of9L4f2Z9K17gAdfIGJ54+iH/0UdjkilfVMh9UVgIDTeS7sj1fjH0Vip0rSRvo5jMZNq/tdIy+XL4oPZOIzzzsjvzI3u/gcz6xzg87/QWAetPT9qijV4DNKeuhFp77yV1NsKz38XgCvu/qm7n48Y3+uQCV32XAMgwcz2Qz4iDkDe7r9FGjogrbMOKJrDdAckRFoCuN3MNkFONtdFji5HAvu4+7por38IOX59M8sYe95JwGPu/gdX+iPSKNkNWD9A9q3RvvWFF8IaJ2tiZwTMr+/uo5CQ4RK0Tu+PnMFu5e63Fvp+fuASk0YjaG+bO0Bh3H1PFJKyX/z+NdNRKozl5U3ma2e6+35IK+TYANcGIy2d4+rQBlWq0k8uVZoJVapSM1IQT6sDa5nZ74C73X2UmT1jZte7fCjcamZzu/vvCxIbAMxsKWR7uD9Sg70YSWxOQMzsPEgacGchX08kEXvZE8ddLodKjpj/O13aAp3IGZyybxiHokV8ApxgcuZ0fTDUz5qcOG6NwoV9VlZOJjWOMj82s6uRk6l1Q7L1iDdU3+zl7v9B3pDXR9oVu4QU58Go7+xmNjDa4vAimNIayXIHae+ite9lYJCZPRMM6AMo7NVg4DxPTBsSIGYhBEb8DRHN/wS2MWl6vIO0O/4ebfO5me3uraRW315SSMg6B+N+dgBP95vMXeZAwMJhHvHss1SQ/LxpkvpegtrczeyvyC4bFNauVJsjAeV2Q+P4GTRmn4wx9M+4PtJbyY62RnoO2N+kOfFBgCwdXFoUSyMp7WleUAmvUvtNLjOdx5Ft+AexPm6KPN//kArMx57IdvodYLyZzRXMIGa2KYpJv+OP+R1pcvnjWQT4zhuae2Vr2qpIWt01QOhv09/d/REze84LpkrJ92+HbPu3CCb332Z2PvKV8BLa49aeynOxTVLSRueY2TcIQLnD5SulCzK/OsrMzgjGtJh/NmSmuEPsh10Q+Ngdae19CjwWUvJxSOPx/4rlRD+uhcZtR6TZ8Iq7r2tmNyNtuQnu/kSaJ/mGawNbONPkK+FO5ER0LZN2xYJobf86zTu9pMJc3gLtKcvG3DgO7fUPosgkE2uVU6Uq/VRTpZlQpSo1I5k8ep+NpDtbIykM7r48sHAw4SCnb7U225mBF4LZfhSFfDwc2XRfjqQBIyy3dSTK+i9wF2K4NrBEa8ClkfBv5PALd7/e3R8rSpziG2ZENv4/c/dNkCrmHsC2IdHA5eCpPzC2JP/i8UwD8wN3/xjZp3+GmLs0z8zIGd2MyBFiR8Qo9gyp8SVIrfNiZDZwpIdte0n7TXYKgun7YELXRI4Zz0Btv0889jCKxDDeFY3jhzoEsTYeqatuhyTv/dGY+D9EeJ0L7ORSh8yk99MVkGBmg0Li+k3yjccgR22vI6DoMC843CwyX2a2tbu/g2xS/4XURt9FTr56AO/XIlhNkRiOQWYp/0CSv3eR89L/IrOZvd399tYeR4X0PCI6tzGzwS6zjG/NbGmkGt6lAhLaX6o1JpI18GKkYfY+YuzW8oLz1mQsb0y+fj+LJMEbmNmY+G0/xBC2aXL3t8u+wRTl5CxUx4vMbFL6e3KeOk8damZLJEUNRmrzv7VcE+hDtJ6fhKTkv2vlT2rzVBQYuPwnHYQY8KVcWi1vIYC8r0myXUxfoTXvf2bWDfkm+CUK+XggEj6cj8bWxp5oNBTqMhjtS9eTM8JrRr02RDTCooU848zsHAQgzO7y2XQqGvs9oy4rRR12Q+Yx063PF5NG4ibIH8RfkcnnmwhkOwbRSuO98pEw3SWbRv7ac6o0E6pUpRopkdxk4bD2RJv/18ihGgDuPszMlovzUs/Ikf4KDDBFYPjM3X8TUv3uLtXYG5GE5/1iGe5+iZltTy7FfTjZ2F+hEN6pyIiZIha8B7wEdA2G8HYzmwtpPXwCPGBmsyDP3U8W8q8MnGdmGxaJ0njfR2Z2kieh0iJ9hZz09UDM3hZIJXRd5LPhepdd/GVIcvZ5SbtNcYp+nIiY0KNcPiueRUTTeJOH64WQCujnWZ7k+xdGUqe1kM+HeZBpy1pI+vRvxBBnWglTzblaWyWTyuteKHrBK2gcZr4NjjOzfyEQ4P5i3oT52gONgc3i/rsmp3XnAEu7+4kl7+3p7v+13J67D4qVPi9SI147Hv2ru5+c5p2aEjSXb4QHEPB2TgCKnyMmYD93f3VqvbtKk5cKoNauwKwEIx0AWaZx81DdgpS/K2I+lkHhHr81s18gJ4WTEJO4ndcIy9uWyeSxvjMCxjdBmgmvIpOOevk6oTl3q+VRavohBuxuz7UPRqOY6HXLm5ZTMo42QmZxHyDzwW9RiOgt3P15M3sNOeorMw34DO0jp0cZDyMg4U3EwC/j7jcUM5kcenZFpoLzIzPFa939SpMvo/HIp1Ind7/dZWaR5h+DaJhzgMXRun5waCh0QmYt27r7ziEI6OxysDzdpKDDvgZ6uUzpXkH012bAyu4+sym07/tmNsRbKQJQlao0PaZKM6FKVSpJCZAwAYX++xAxjZcQXoxDS2AfAHd/tlZ+MzvBFB7uXaR9cBmwWki6NyTscd39t8AZnjjHijIyz8+Xo0gRE4HV4z2LI+asJsFqsh8/F9n0/g05IJwzfn4Khf660MwGBsGwijdUhx0EHIa0Bt4LYqNRKgIJwfx9joCKzZCUYwmXo8mHkaRke5PX63+XMfGtlUJitnXU48EAV/ZAWhKXIgDnEHd/PcmT2aEuiiSUayPHlrsgQOQxZAM7D9JY+RTYzqaev4e2Tl8hUGgCqJ9c2h6ZhsI57n5/Kvk1s5VNPjoyMGIcar9/mNmWZnYU0vDYD1jZzPoX8g8F7giw6ZAgbLsCVyMfIWPd/XcmW9/DzaxPa2sjmKKbDI7zxcxs9uw3d38cSQ6vQL4y5kLe7u9s7XpUacpTwgCORppZ/0TM/6WxXn2Trm+Fsdjg3OWAbitk3nBjlP8I0nhaH0V9+GE9aQ8p+YZOsV7/Bq2JR6L6fmJmW5hCrRbzLgws4tLc6IucSi4eecea2SFm1skUCeAcYHpdB39IJrX4A9DauDTSDHgM0Qr3mNmIAFtLfQzEeLwYaQzuC+zs7pe5HCB/g4Ca4juHon1nSWAGlzne/chRYn+XFsjdaE9by8z6Fcbuqkj7Yf2gKZ4C5jCzPYIGyByN3m5mq8bePL0BCeNRxJ07kA+rg13+Kv6MhArXx6N3INqqTKukSlWqUqRKM6FKVSpJwcQvg4jF8xGj+BlS4/6rSc3zKCSFrJV/DCIStkHq8d3cfReTh+aJyFHT3u7+bAY+eOK1PrnnmVTW5UUfYLTJfn8D4ACX1+VGyczmQ+qKN8Z7PkLE7hFRzvKISd6VsFf3xratA5EEf1NTfPH/pRK+knf2dvd/ufwTdAiG8/JoywkhLbnVpFa8MtJQ+KysrMlNCQCT1fF7JInbBxHCfwBGAbO6+4EIVCja9XuADscAu7o0STZEIf7+aWavIuZxdnd/0hS3+zOfCv4e2jLFGOrminJxLArjuGwQvGVmL+m46Al8FETup2b2W2Ta0xn4Her7ld39RDOb6A0jOiyEwLurUP8tAazoMkEZj8Kqfm+yFT4F2N+njqf8/sDJUfclkMTwBy/eLvv4X5CHyczuT1d2xdNyMrM5keO6f5rZVggQ28Xdn0vWyIvMbJd0DU7Ah1SjYWegn5l97e6nmtn6CIy4zt238Ny0pV05qUsA7tHI1GtvpElzLLCou79vZsORqv6uhbw9kLR7UZNn/4+QidGWwLWoPW9GtvWDgHV9OgwbWLLvLYxAmHfNrC/a4/Zz94PMrBfN2NdcZozPxpG9Z0OkMdBAU8ukdXALMlW8OQFydzezMxHwOtHlt+lW4FZvHBr6b8gnwwIITDoUeBqFQnzYzMa5+9WmaEe/a1bDTEPJ5PvqVKQ99CkCyG8zRRo5ELXP0gGULQVs4CV+Kqo0/aQK9m+F5O7VUR3VUTjQBvMYUtXM7m0LnIk23seRhgKAxf++wGLJ88eizWhC5Jm/8I5eNd6dldezcL9Tcr4j0lIYn+YpKWsRFHHhWSRVAqmJr4ZsLIcipvpdYEDh/bMBfeN8BSRtOhTZEIKczRXf1xVpX+xTrDcCK/ZBNrpZ2806FfoubaflkDfzxZHPir2B5eO3JYDboj0atR/SnLgYmT6ANLkOi3s7AK8BC7f1WJ3K82D5GMdvI8ZhSSSJW73WGCgpYx4E3iwTc2QtYJ74bRskReuW9gFydPVb4M5sTCLHpUcm1ycgwvq+puZBK7TDIYjxOjoZC1ao81R5d3VMcd/Nipyo9Yzr1YC/AAclY2lepF5+XhNl7YkkuYuh0J9nRv7eSF390rb+3ibqvzrSpFg9uXcB2p8uQU5pJxbyZPvBrLH+XYEA5pkQoP4zBCJ0ROv/zG39nVOp7dK5nu2V9yAnq9n9VVA0psl9x+xoj3qL2K8Lv28LnB3nHZA21G7IrwexVr8O9GviPUshrZy/oegS2f1TEDg0Xa5lwKrIgfLAuO4c/+ePNWFntEftgnxHLNZWda2OH+cYvsQI/+9X308TBwk/0t6ONq9AdVRHez0QA/ohCseY3euFvBrPHtcZodUFSXTOA0bEvcOCQH0IGBT3NkXMmFGHEUPq4E8iJmaF5H7KKM+W1qFQn0UR8zYTsuU/BjkLXLDwnmFIHXKRwv21kA3tr5DEdSiSTJ0VZXWpU/flEOK/S3Iv27Q7xjedDvSfCn3WDxH1vYERyMTiHGSDelzy3ERk3rFWnbK2A15AxPJMSfnHBaGxbluP0ak8/rOIBPOgsJ6nIXOZvyPfG6VAUDy7G/IlMGPSlr8GRmXjAdg++mWhGuUsFeNot2Q+/Q55Gr8MAWXzIq2JBvOglb4/nVerIlOMV4BNk/vd2rqfqqNZfdkDAWG7xvUoJF1fP+trZMI0e62xgBi9W2MNmBTrzAvANeSAwpxt/a112qAjknRPjOtuyW/LAcsCw7LvTb89/u+GwNc3kJnRomh/OQIBrCv8GN/R1gcyjzs/1rChKFLC/vHbRsC9QO/JLHsGJHxYoMbvIxHwswYCdW6M/rgGacyBzPaWa8a7FkWAwuaFbzu7tdfS9nIgEPA7YMO4NoKWiTX+IUJYUh0/jaMCE1rnaPMKVEd1tMcD6Bj/F0EaAEc1I88ySFJzKlIhXAg5Xdw5fl8WSXhXa6KcuZHEYxNkknAqCuuU/d6pRr4O8X9cvOcEhLYPQ7G+j0TSpyGFfLMVrgciTYbhcX0BYp57ISn/BQSyX+cblgxCZZdCew4JorRu/insuyuRp/3TgdFxrw9yQHl4EBBXU5BmJ/8zqVtHJMm7HliHHFCwYp7p7Yjx8hKwZnKvO2KYjkBEbMaIdUieWQMRt9dFux1JDiRtEb+tEtfHUQC36oyj22IeDkdA0GmI8Bs8lb4/69/lka+NDAzMQLbxSJp1HBWg0G4PGjLFmyJV/G3iegwCUjdrKm9yrxdi6J6K64HIBOewtv7WZrbH+cCFhXsjgFlKnu2SnC+PgL+eyPfNfohpXQBJcg9iKoDD7eVI1oONECg6V1x3RPv6azG2SjUKWrEe3ZHmwqtIK2ul2KsWRQ4YW1pepqGwMdKqeGlq1r89HMmekgGLHZJ+vJMa9FV1TJ9HBSa0zlE5YKxSlSKZvPtiZl1d9v6zoE1mZ+Tc6OiSPAPCBg93fx4xqd9Enn8R/gjM7FqkEnugy0lXsZzM2d9wgpFz959Hnr8DI02hi/DEpjfy9Ir735vZPMgz8zjk5PAz4GN3/zWSqv0tvin1K/CXQnW+QCDE3+L33RDRuBfwCAJWfluvLd39JUSsn2Rmu0V7jkIgxdtN5Z+clDlOc/dtERizJeHAymVLvw0yNXEEctxb4iNhHGqnA4DngEeRucuawJjwB+Fpntb+jnaSvkSS2E2Se9+4fGEch1S9V4TcZ0I49roZqVBvgbRy5vSwIXf36xAIcG34IznSFR6yZopxtCqSJD8S4/hudz8AaQi8Xy//5KYYC6MQKLIC8IyZre4KxXoo0la5G3jWG0cwqVI7Ssk6dyMCuMaY2XauiA17Awdma2iaJ5vbZraOme1oZku6+3/Q+vhnM+uJmLjLCAeM7Skle8r8lodyvAL4wsw2id9GIG26uQt5hyE/IZmz0RmAv7j7f939SQTkzYfmc1+k6t/mITBbO5nZCmY2JlnnFwWudPc/miJ/fOfyHbMk0lYZ5TXCN7ZGcvcv3P0sYFV338Ddn3T3fyITvvnMbI6s35tZ3oton74RrddbTs36t4eU0CYnBm3yvStK0FBkyta5TStYpR892TRytOdUOWCs0k8+hROj2YFHwnnR+8GU34RU4+8xs82RVCrN1wUxVQPM7FKkkv1LxGSshCTwZyJGqBPykfBRmfPCYF5WQZv6/cBWZnabu79qZtcgHwmrmNkznjhUCoL2YjN71N0vBf6IQITNUPjFCS6nY+sh9ctjM+anjBEOQsQREDLczP7tCkF5GZLGfI+0LZpM7v6SyQnlveHMaCSwg7s/1pz8LU2u0GyLInvWY+Nb9jWzp93998AswALRZl9Enh/awOQl+xjk1HIFpI3Qxd0vDfpsbeQr419To/5tmRLnbHMgTYJ3YzxeYWYnuPthnoTOA/4LLBdt+Xm049+QOnlmN3yXycP7QUgC/LC7X2MKIfnX5gIx7v7rcBp3X4zHM+OnqeZh3BS9YQcU8u9RM3sKODXa6V5TuLeeXhImtUptm0zRVP4X46uLu39leQjT22NdWMfMurn7BWb2mBecziZAwm5Io+Y64H6T88YPEdh6A/IVMN7dP/wRP7FZKebzeKS2/oWZvYRMzN4GNjSzHZBz0SMCpEvTx8BgBISfi/a5z4P5usDdXzezN5BWxr98OgyFG2k+4Dgz29HdH0Zmc/ObWfdszJjZughoebZeQa2Z3P0f8e7OBGgPHOruf5qMsl4ys0VQaOafxHqW0CYPmdlfkabC3sAWPp05UK5SlX6MVIEJVfpJp2AOvgc+MbObUSils1A4yNvc/R6AMrTe3b82s4lINW5WJA2/CNnRLoSYndOAk0KCmkn6y5j4ocBOwMbu/rgpUsCvQirysik0XrcCkDCDu//XzO4CNjZ5F786pErLICnJJ2a2JDJ5+KiEaCx+kwN/MbN7kU370mb2N+Tde69mNGmxvJdM4TV/hWKu/zKRFLaaVD9jFpCa/WJm9p27H2Nm3VAoyAeQ74gzXd6zy9LnyERiEWB35E/hczNbOQCFe3w69eocjMc6yMlhFzN7Ajk23AaFDT3N3Q/w3FP9nxAw9N+kjNdD4+AhM+uKALoZkO+RpYGzzOw0ZNubldPc+r1sitrwsMlL+R9ac/ykycw6In8PQ1G4yicCBPkeuMDM9nL3u6fGu6s0ZSmAhE2Ad8xsZWComW0PeAaYufttMT5XtYg8U1KOofViBWA0Um9/Fbgv5sopyEHt3939ox/n61qWzGwIAqHXdIX0fRCZIxyNNDSGAP9x9w8TMDEz4fqnmf0cOBiBCpOQVsMEU9SaJ5EjyzVd4fSmy+Tu15nZd8CZASzdB1wIbGBm7yCw4RAENP+oKYCEpVFIycMzWmVykru/3WoVm0ZSAii8gARBq3gTmnJVqlKVypNNJXqsSlWaJpKZzZcRgyGJ3cbdty48UzMMYvy+OFKF38bd7zCzgShk5PyI4FqsDIxIyw1CZRsETJzkMgvYAzk8XNalmpfm7UWuafBQaB5sj/wZvICAjceRPeAYRGzc2dR3mcI2fpu0x+A47nH3X9Vqg6aSmfUM4KNuW05GuVnoyX4Z0GJm+yBC+XZ3v9/MjkNtOzqI6oxw7hzS9o7R3nMgIrk7MEc8szzSVtjepd0wXSYzG4BMFLZGWgcbI4DsAqRtcHn89kFT/WdmSwEPAv909/mT+2sCv3b3T6agnjO6+78nN3+dcrMx0Q8xWP8zs21QxI8ngVvi962BD12q3lVqhykYhCvROF47lbYW1tyeKRhWYz08AoFhvYBxsdbsBjzk7h/8CJ8zWclkonck0gbb1qXdMwO5qdsOnoRhLcm/O2KQr0ZmPXchJ4uOgNZvkfbRG1P1Q9ogmdmsRdDYzLZEe/oWcWt7FBa4G3Cwu7/+49byh3p1Rv4u/tLae+tPJZlCEP9ktDKq1DAtMWJJf+q5F9u6Gs1KPbp0eNndl2zrepSlCkyo0k8uJYxDF+So71dIbfV05KH7Hnc/u4VlLo0YqEPc/cKEyf0BrKhRh1WBGREwsD1igp8Bbo7f90Y+Bh4sKWMHZEqxr7s/FoDCjsie+2UEIswMvObuz9QglschT95/AG4Mhj9TZW+1lEq+WoPgMbO50fr1scmu9wrgcne/JX4/AH3/zwJQWMDdfxO/zYrU7L8PrYmtUb/fDcyJCOcTUJz4PZCPiDumtM7tKZn8gnwV572Qneh9iGH6R7TpJcg/wcVm1sPdP29B+YshMGuSu1/bivVu1XFUKHNNFDHi98C/kSbOjsie/BXEPHmapzXeX6UpTwWQoBPSEFsY9ecLBdDgB8C0Rv7dga8QI30UAoS3dZn+bIycuE5sbxoJxTFp0lDbHUWtuDWA1BkQYL1vGRBg0srpgkz8Loi1szcCGj8Fdnf3f02v49+kIfg2Mg15x90vSX7bFmkBbOfuL0ZbdvESzZYqValK00aqwITWSZUDxir9pFLCOIxFzOZo5OdgESTN+jNSHfzBgVVzkru/EGUdY2Z7e25D+ruysqIO6yDG/+uQEl2DbMuXBzaPup7l7g+W1cXdL4v855rZKHf/JfJtMAkY6+43ufuF7v5M9s60Lma2MIoU4cij96Vm1iuk9T+YQLWkHeq0T6s5LDSzBRHDv24Qv5+j8JVbRZvi7qchz+MbhNZCBiQsgiIK3GZySrYPYhSXQir+XyDnlYsgjYwDXdom7d3/TbOTyUfIVma2ucnhZyZxfB7YItrrz0i7pV98+xe1S2ycQlI3Brg6iPBWSa08jjpmZZlMgQ4DNkRON1dFTigvQ3bSyyNNjQb1qFLbpwIQsCTyZbED6s+jUEQWzGy0SbPl22IZSf79kL+ZFwNQPQdFgTnEzG5DZgKbtlcgwczGmNnRJq2a36FQrv3RWrmQyx589RRICHAVAJdDwS/RGjmvSXvjX8CeyJfMbiZNrul1/P8Xgfl/QXvHNWY2McbNlcDJaO8Y7e5fVkBClapUpSpVmglV+gmmkEafgLzJ35ncH4+kWYcjgvHeySh7GeQAcWHq2HWbIkfcgCSff0bM/KJIGrYHip5wgif2qCYb2OHAM56o3Jucgh0A7BkaChsjtf4dgT95iXMsM8scRN7kcko2F2Km+6NIB62uSt4ayczmR1KzM939huR+JxT6bX3kLO3XKAzaYe7+cjwzGLX59UjavDpysPlzk6nKWij04dU+nXu0NrMZgf8D/gOs6HI6uj7ytTEQaWkchaRwU2LeMhz4wtuZCqnJnGFzJH39Ouo5CAHsexMMY0gqP0BRKaZbM5dpNRWAhF2Q/fqvkcPAC5Ca/4EorOFmwJK1gAAzmxkBypsj055RSFPpbqS5Myvwnk+Bmc7UTKFZcwwCmDdFc3svFG1hL6R9dibwpecRWFJJ/NsuJ76Y2UbI1Olc4EXkUHgb4CB3//jH+6ofP5nZz1C/b44AlE2Rht/+aM0cDPzG26HTzSpVqUotS0uMWNKffu6lph9sB6l7F2u3mgmVA8Yq/aSSycZwM6R+/UQinfwuwIN7zew3iNFsMZjg7s+b2ZzNYMa/B/oge9TuSK12TWAe4Hhg9gKQYMhB4yTgFjP7S+T9zuUcriPwMzM7yN1vMnkor+cs8FtELP8FuB1JX08DjkAe/Dd2hUtqb2lFpLZ8A/wgiVwZEcQvolCYx6LvOz4BEoYgSfvN7n6mKQrBQMR8/NzdXzM52toE2N7kZ+Gf06MELtS8/21mvwDGx/G+u99qZm8iqfxAZFc92UACKBLDlNd4qqTZEZM4SwBR3yFG7N8o7NrnptCQBwFbV0BC+0wJkLA+sBgCW5dGEUX2R5pXv4/fzkmBhBJV/a/Rmnwx0BVJ9lcGerjCob41lT+nRclkirSwuz8cQMjaiPldHAEfv0HOAndC4R+/88amSqkkfkOT08ob3P0XJieV2yIwZgCw0fQMJCTj4WCkJdgXtcuihAkjAv7380L0jypVqUpV+imnCkyo0k8tdUKOk2aLa3OFFBzsecz6WYEhoc45OQz1f6CR1CxTQx2MJLV/NDl12h1pBzwejPFuiEZuQLRF3vuR5Phw4AwUDupLMzvd3a80s/8BZ5vZikUgIXn/7Egy9WxoaNxsZm+5TCY+CSa6dzsFEkBhGTuZ2bLALgiIGYBMHe5399PN7BkU+eKTAGEWRBofHwH/jvZ5KqRvV5jZ7cC67v6mmd2E2ucfbfBtUzUl47G3KcTi1mbWF3jDzPq4+9HIXvre6ZVpCCDlW1fkiZmQFsIswH5IanskCom6AGJGD3b3T9uswlWqm2J+90YM4Dcxb+83s2+Rmc0xwFnufmMxX7I2b4LA3H8C6yGm/DFXlIMNUASDrsgcrT2Bi0sDH5hM0/5hZkehtjgcaRV0RQ4Xr0brWyM/OLEPvYAcjY5HYMTuYe6xD9JmeBvo5JMRdnBaSrE/ZuZsH6A9dgTyL3G7mQ0C/lYBCVWqUpWq1DBVPhOqNF2njDgwsznMbJawB70IGGtmywaQsALwczNbIDQXvkLSh8liqDOCMyFWOwShMhGp4B9vZqciIGOfABLWRk4Ebysj+qK8h5An7s3cfR1k678ncF8Qfx8DI8sY4Xj/2sC1wOVmtr27v4JCnu1vcjqGu3/i7TBMVELkPQZ0RBoUMwMXuftySIK8vsne/++JKnI3ZO5wFiKUZ0DhP1d09/8BOyBthgeCwXjDw7/C9JQSMGkdZCZyd4yBvyF/AJPM7GLkaG1AG1Z1qiWTw9WRZjY0gLuxyEnkf5A2y2XItGMjJJHe193vTsZeldpBKvRHF3f/DNgK6G5mJwK4+8Oob/8HlDHR2dq8BzIr+w45YV3M3a8IIGF3NB5Od/ev2guQYGZzmtkKLqewf0Y+czZJmP1X3f23aH18CDkFbtQGSTsejHymZJL4hYAP0ZzYBPjX9A4kZMmVvkb79GrA9e5+e/z2gbv/sy3rV6UqValK9ZKZjTWz98zsN2Z28I/13kozoUrTdQoGak1EFHY2s2ORumofJJV+EDnc29dzJ31XtQbhaPL2/J3LJntppCY5HtgV2WN2NcXyfhlFcjjc3e8qUb9NJWknABNNNv4HIrOHPyCb1v95hEcsqcvKyCHZeOA44IAAV041hbv7hZnd6e5/mNLvbs1kZt3c/X/Rj51cnsR3Abp7Y1OSL4Cio8svzWxTd/9LlHc9avs1o0mfNoV6uwxJ516e+l/146dovzFoDIxD0svjQqp5lin6wmaIeH6qLes6FVNXBCZdiPwjrObycP8/JI0+HjjD3S9PtZLaCxNZJaUECNgBWNzM3gceQSDQ5WZ2nLsf4e73msy9SiXJplCwoxDTuDvydfNEaCF0QuvBxu0JXA0AYCVgDzM7xhUW+AVgFTP7GrgfGGFmV6K1fluvEb6xmZL4v3tEffkppVgXDkZOKLtX2ghVqtL0mQyYXsQFJnPn85FW3h+BF4Oun+p7WAUmVGm6TqbwWLshBnJR5ETqeuDnyFa0L3Ctu7+cEVatBCTMjBi3R8zsAST52QNYEjEuu0e99kbmChu6+1dlQEKhTh8j9db9gb3d/Yp439NNEDz9kBbDcohIPg7Yy8z6IFXgRUuY8zZNoYZ+hJnd4+6PhBZJR5c39n/HM92AZZHmwVFeopKeAAkdgki8FtgSGB8AxeNmtoWXOKqc1lOikdANSWn3QpoIS6EwZyfEGDjV3U9tu5pO/eTu/zGzT4FhwNNAr7j/jEktfmM03g5B2klVaqfJFCFkG7R+/hLo6jJx2h75lPna3Y9L10QzWxHtAR8BzyJnep8hgHYgWoO/M7MdUZjUnSZXO21qpZjLDyCHkPuY2VfufkF890T0TSugMX6eh8+YeuUBX5vZdUiT4/xUEj/1vmSaSM8hs5cqValKVZoW0tIkzmFDWLk2MlWbqqkCE6o03SYz6w/sDMzk8ofwfjAN2yFG4gZ3fy17vjUlkC4b1v8hp4r/Ax4PQvVEpHb6SBC38yONgq+aUwd3/9Ts/9u783hL5PqP46/32Pc1e9kKWSspiuw7rYpRIqEQWSIhtFjq5xchZSklJaEiy8+SfUk09r2y7z/ZDTHz/v3x+V5OE37G3Dvn3DPv5+Mxj7n33HPnfO+555w538/3s2hvamTZ6e3nHPEGp2/vpHo0nNpO3H5MTWu4VtKqwKJUs8e7B+PnHmQzAo9T5Qsv2b6k8829asThmlSDsX1sn/56wRiAgWCB7TslHU9Nu1hf0g39mL7aEUhYl0pZXpHqiXAUsFvbRK9KNVw8hvEc/zhcdNwPsv0X1eSGlYFtJZ3qarx6F3AB1a1/dFcXHK+rBXynojrqb0kFxW6ngolQTRM/xTilDZLWBg4GrqeeB8vZ/k77/2AHapzkS5I2pV4Xzui1QMLA49j2E5JOpZ7Le7TX/59KGktlqp3kGhP8puUk/j/Zvk1VPjLJ3xcRMSzMS2UqD7if6rM25BJMiL4yzmbyKeCPwEKSdqNqX09TdW8fOH0a9DcKAynStveStBc1WmoElUb7L+DHknam3vR+yfZt43kT11GlGitJOmXcE/WOzdPyVH+IhyRtYfuR9uZ5L0mHA4sBX+vRQAK27+mIrH5OErYvgVd+xrHtlG6UW7PFNxsQsv03Sce2j/sukACvnGK+l9pgfLUFrF6U9BCwhaSZqOkhX3ePjrubUB3PhfWpufGPAidSmUmzUIGqD1JTAHbs1efCpKxtlgcCgQZeUE2zORH4p+012/V2AR7yfzZbXI3qBbKo7YckbUi9pmD7y6peGldK+jOV5bS57fsn1s/3ZnQ8jpelmizeC/ycCprsJmmsqwnv5NQUh7ciJ/HjSCAhor+NGvXXc6aZQrN3ex1v0tSSOudYHm376K6tpoMG8TA2oqs63nCtQm0UXnTVza4DfBy4AzikXWeO10qJH8Q1vM2tf4GkHam001+0lPpvUydrv7Z9+lu8neWAKWxf8TpfX5tqUngcVV4xiiq7mKJdvjiV2v6Wbn8ojRsUkDQnVZawCHBCR0DhrU7bmCSomol+gZoh/1nbv2vZHMtTzShXoUpD/ti9VQ69tnn8FhVU+TJVavRFavO0EfA54FhXQ7voUZJWB2a1fXJ7/fsO9XpwgqSNqVG5G48bnFX1A7kW2MyvjpS9ggo0X9/+j1gPeIzq1n8XPUjSGtRkhrOo0cW7UOU6a1PP8/1sXzSBt5GshIiIYUjSCtT/A2u3z78BYPvAIb/tBBOin6iaLR5ANZPaheqHcLCktai+CTe7mg6+cto1BGtYH9iPyiB4tGUobE+dfv7GNRd8atsvjM9p+niu4efA1bZ/1MobfkVlIm3TSiXmaH8Pye2/VR3BmLWANaiu4n+k5qFvTdU2/9b2hV1cZs/quP+mAl52ldbsTE0u2N/2JQOP/YGAV689BiaUqrRnI+r09kaqR8Rl1GNnN+D3VFBhS9eI0CldTVL76n4Y7jp/H5K+RL2e3wbMTTURXZcqWViU6qO1g1+n2aBqesd57d+YG/g0cCs1WnZJqkziR736+5e0ONUn53jbF7UA2Q5UQPh8Vc+EG2xf3dWFRkREV7TMtDuopsIPAFdT099uHvLb7tH/OyPGm6R5qZObbahGJDtRowH/YHs/Ve34fbZvGsI1LEM1uTuFau61LTDW9uat5GFhql798SG6/Q2ooME7qM71R7oaz80O3ECd5O0+FLc9WFow5tvA96gJAyOAXakxaF+l+kx8rV/LEyaUagTpSGBO4BCqjnyg8edhti9o1+u7zbOkRamxbtdRTRTfTk1p+AdwGlVWdLOky6gSj/cATybDpbeME0iYkQoOndECoEdTrwEjWzBsXuA514jIN/o3lwPOBZ6wvVDH5RtQ4xR7qrQBXukLM4J6LVwHOJJKbX1JNc3is1TQVa7GtBERMYlqWXaHUiPUf2Z7/4lxuyMmxo1ETCRPUoGEWakxjGtT4xN3k/Rt22cPVSBB0mSS5gKuAmZwNXX7M9UAcjpJq7Qn9QFDGEh4P3Xyei/VlOwD1JiwGahpDldRIxG3GorbHwxt47AudXI4GpgHuIlK1Z8DOBz4bgIJr001vWR/KjPn11R5z3LAGcBF1HNhFui/kYeS5gPOoU5rt6bug8epx/7LVMR+tGpM6jXAurYfTyCht7TMmYFAws7UlIGdqMAitrehfpcXtuyaB/6/QEL7vqupxpuzSNqs4/Izei2QIL0yrGzmFiTYE/gtlYUx0FDrJqov0GQJJEREhO2zbC9ie+GJFUiABBNiGBt4wyVpcUnvAKZ0jUSZHTjL9lPUY/xwag75kHE1XHyY6jD+MUkr2x7b6k8fpk5Isf1Wm2O9IUlzU2+4R9seZfsc4EKqNvx44A9UgOWHVBPIntHxe3yHazzlAVTa8jepDcRRwHzUxIGXe7WmuUcsANxq+xrbxwInUb0CZgWOpU7m+zUQ8zTVUHVJgPY4mQyYrX1tBLAP1XzxgqHMUIq3pmUkjG0fD4w43Jbq/bKopJEAtrejAkfTjc+/b/sGagLML1TjJXtSK1XaELhI0g+pZr3fpR7f+0n6KXX69HPbPfV6HhERk5ZMc4hhq73hWhP4Je2NpWq81UPAhyV9l9pMb2T78sFO6+6oT/8gdfp7i+1fSxoNnCfpa1Tjw3WAUwfrdtttL0Sd4D8DPG77TEkXAFtK2sr2sbaP0KszyZ+hmi7uQJ3694SO+3AdaszZ1q7RjYtR9+ffWlOZy6ia5jQH69Bx/03eTidvoebGfxi40va5kj4OLGT7dqr3RN9RNeN8WtJKwDmtdvBO4F3A3u0+2ooanbR/e4z1XZnHcCZpSeAdki6mgmJnUc/5P0u6j8o0W7n1mznO9q5v5XZsX6OaitBzryUdz+dZqdf3bwJjgc2pwMk3qIDY4sB/2f5Dt9YaEREB6ZkQw5ik91Fp3OdQjbm2AVaiurMvCCwBPGj7/CFcw0B90tlUY6/Hgb2pTvkntz/fsP0PDVLTx9aM63TgTCrLYFPgaCqo8mHgI8Clto/v+J45aafU7XSuZ7TU/N/SGuK1y6ajMivuoGqCt7J9RtcW2WPaZmMm23e1QMwqVFnIb6jnwZPUY/EGKjNlI9ujurPaiaMFFMa0/iB/oAIJy9h+WNJUrtGY0aMk7UA1yzyuBcF2pZqubtCCinNSJ/SLAPu0LKa+I+lD1P9j89reUTW6cgVqKs8lwI+AA4EZgJ/a/mvXFhsREZO8BBNiWFKNvbuCOnVf1zU/fFaqS/vawBeHqqSgYw2TAwcDf7T9J0nvBtYDpra9v2pc2Y+A9W1fNRgnoZJmoqYbHGf7uHbZfMDPgEupevmR1KnWebZ/0fG909gePSG3PxhU3fbf7jaRoaXzrmN7+9ZwbHJXd/1pgHcDY2xfn5Pk0u6XPYExwPXU7/y7wOepPh03U7PoP9T+Pq4fAzGSFqD6k9zYcaI7EFCYmWq2d6btb3V1ofGG2uvmO23/UdJ2VE+AE2yfp2pauzEVDLtD0hzUyN+nurnmoSJpRaoc6U9Uw9Qv2h7ItFmZakA7UJ6xC9VQ9ZGuLDYiIoKUOcQwJGl+qvHUelSH9h2p0/9/SjqKqo2edajXYfvltrn/FPAn27e23g1fbam4J7Wv/7a9YR6MjfyLwD3UST7tdu5XjQa7khqF93vquf1vJ1a9EEho5gZelDRT2xQ8CCwjadl2yvYv1WjI2d3mwkP/NQx8q2yPlnQplbHxCapu+teSfkcFGVazvS1w7MB93KeBmPWAfSWt1RFsGtMCCk+qprdcJmlm2zt3e7Hxn1rwcC1gKUljbB/ZLvucJFpQdgxwgaoPzd+7u+Kh00q7DgK+7Br/eBOwa3vqntvKP661/c92/b378DkdERHDTBowxrAgvdKkbwXgJ9Rp7FNUmcM6rT8CrkkJB9n+yxCu4b2SVm6Bg0OBMZK2aVd7gGr6NksrazgaWMr284P0xm8aYFkqrR3bL0ia0vZ9wBHAIq2vwInuwQZzbcN3KdVN/0ZVQ7VR1Az4T0j6jKQPAN8HcuI2jrbRwva5VE25gDUkLW77Bdv7AO+XtHT7lqfb9ftu02H7SCrd+zeS3tMyEzoDCo9T6eKndHel8Xpa2ddPqVGe60nawPYR1Hzsz0la3fZBwA+AvnsMj2MmYEaqTAnbP6Yeu/tJWsf2ywOBhPb1fr8/IiJiGEhmQgwLbaOwDtV86gLgk8AewCHUydblbVO9u4doTFZbw8eonggXU7W7J1EpqTtI+ijwTmCPVnYxEKx7ZhDX8IRad29JD9i+jkp3h3qzPU37uKdGhUmaFvig7QslrU4FXbajNgmPU93a12yXPQbsZ3tIJ3AMN22jPLaViTwIXE5NCtmOejxMTT3WpqOPgwidbB/aSp5OlLSp7WvHCSj8L/C/3V5n/LvOTBnbz0r6GVWms37LSDiilTxs3zIWftDVBQ+BjtKcOanxjlepJkzsIOkA23vaPrqVOPTrBJaIiBjm0jMhel7LCJiWaiR3vO3TVM0XdwUeBXajxr8t0k69B/O2R7QN3OTALFRvgk2oiQjbA6tRXcGnojpsP91qe4csrVzS26gxkLMBJ7d+DR8CfkU1MbxwKG53QqiaiP2cGts5F7Cta8LGR6nsjq/YPqttiCez/VyfpuZPEFXDz/2prITZgd2psaO7UM03/wH8xPZpXVvkEOrYgC0BvA24rJUb7UT1S9nE9nV57PSuzt+NpI2oQ40XbP9BNXFjWaoPzVmStqb6XjzYxSUPmRac3pPKMPoLFZx+mcpO+Kff4sSKiIiIiSVlDtHzXJ4D/k7V1k7r6kx/LG1Tb/sR25cOlCIMhrZpv0bS7C3bYTLqJHhnYCtgpO1nqMZYM9i+xvYdA2serHWMy/ZjwGHUGMAjJZ0AHA7s1KOBhBGuWegHUw0V/+FXR3WeTt2fv5C0cUvVfw76/1R9fLXyj4OAjajeGR+hAmwPAd+jMmR2bcG2QXse9IqOQML61JSUzwKXSnq/7UOpZqdnSHpfHju9qyOQsD2VXbYgsKekY20fS5VAbdxS+4/pp0BCC6oOfLwg8HVgC2B1amzrusBdwFHAvJIW6cIyIyIi3rQEE6IndfQneLekFSVNTzUUnJE6gQW4H7gd2FY1X35QN6Bt034tcEULKDxMpeR/Hviaa1zZqtRGfrbBut03ubZHbB9GBTK+BnyqVzeRLbPjXcA7qJKUGSX9pCPN+TSqc/mjXVxmTxrn9zkllRWzIHV/bUI19fwl9bj8uu1boL8CMaompgNlRu8F9qNKYk6njQmU9EHbh1MBqxm6tdZ4fZ2P5Vaasjawje0DbX+AasK6NxUgu5x67e0bLTDwI0lrS5oBGEsFBZ9uQekDqQksG9v+M/ClgeB0REREr0owIXpS2zhsSE0t2Aw4gzqBfRIYKeksajOxFZXeP/tg3bak6TrW8UXgf6gMhVmobIizgb0l7QEcSccmbmKz/XD7c3f7vKc2kZJGqEYZfgVYkWqauQGwuKQfSlpP0l+Bm1s/hZ4LhnTDOBvogdfpK4HbqNPLvWxfT2XrvADM3zYkfaWVvfxS0tztotuArYF3Uf1TFqGyhX4l6UO2D7V9cR5HvWWc0oatqOyaZ4GpO662I/A22y8Bx7iPRh5KWhz4NTXK9br2XH2Cmr6zkqQ5XZNtfkqNO8Z9Ov4yIiL6S4IJ0XNU5gV2oKYWnA7MAVxFpXl/i6qzX586pf0ccMMg3fa8wB2SjpK0S0vR3xE4huow/jCVmnsSFdzY2vYZ2by8rilcIymPaJ/vCMwJrEN1L98K+O7AG+deC4Z0g6SpgFGSdoZXMjtG2B5D1VbPDKyuGn24NvBN10jNvmP7BSqYOKOkbW2PdjUdXZYax/o48Adq8sdTHd83yT+OeklHIGFdYCRVpnI1FSiat11tKWDB9vjvG5JmpF7/jrR9xECQxPbTwBXU/3H7qhpOfpsKOERERAwLacAYPUfSkrZvkrQn1ZxrPWBT2/9QTQK41Pa/Wtror4EtPEhjEFsa9fepQNuc1Ju9t1ETHA6lOuWvZ/vJwbi9ftZKGw6gSkLukbQQFUyYDtjf9t2SZrD9TBrm/TvVCNTTgH1s/6RdNnlrNjgH1TPjJeB02yd3calDRq82Px0BvJ9qOrm77Z+114FvUgHG1YGdPcjNV2NwqZrm7g08Y3vzdtkBVEBsFLAc8FnbN3dvlYOvlXQcC+xo+ylJkwFjOwIsG1D/xywBnGX7gu6tNiIiYvwkmBA9oWPj8CHq1P+z7c9ywOdbcGFF4GiqpvTG9n2z2B7UsVmt/8JaVB36tcB81OnRNMCmwN1UevVY15z0eA2S5qGmDMxLlYLcK2lR4BzgRODAdjoXr0HS+4HzgG/Y/olq1OGYFpRZiZrk8Xw/BmI6mi2uASxq+0ctwHIC8J3299rAhsBpts/u4nLjNQy8pnd8/jZgS+qxe5TtP7bLl6NKdZ6yfW9XFjuEJM0MXEqNDD6zXTaCyjKaCviQ7fPHvb8iIiKGg8m7vYCYtKkmMzzfAglzU6f/X7V9SauXnhfYTNLLwMepk8kbBzZWVA+FwVqLXC5tfRPWoN7sHWn7V61nwhXAra7pDtGhYwO4FDArcBPVnHIL4HuStqXGaN4C/CaBhDdm+xpJawLntY3GkZJWAU4FPmP7+Xa9vgokwCu9Ilanutp/oT22rpT0eWo86xS2jwEGNmd9F1AZ7gY2xpI2ocYd3kNlfRlYTdIY22fZvrqLyxxytp+UdDjwKUkPtDIdtcDgasBnJF1F9ZCIiIgYVpKZEF0jaTHgB8C9wN+okWB7Uo/LNdt1lgfmB+YCrvGrIwWH5IE7TqOw1YBPUpkIp9m+87WuF69qKbvfo07UV6XKGu4GvkxNIIAKCJ3RlQUOQy1D4Szg99T0jj1t/667qxo6rf/IFFSfknNs/1rS5LRMIEkfpsqbVgLuz2lu75L0aeC/qEa6y1CBoFOAnYDFgJNsn9+1BU4kLStjJ2rqz2+BC6nJDcdQ41yTWRMREcNSggnRFa279dHAz6n+BIsDdwCXALtRGQc7TewNu6QpbL/U3vy9SNWxbgbcR2VNvJAgwmuTNB813WIrauNwKLDiQBmKpGWBZ23f3rVFDlMtFfwCYEvbJw80/Oznx6Kk7wM32v5lx/Nyads3SJoxmS29R9KCwEO2X5A0EngPVdLwj5ZlsweVbXIqsD0VTOibqQ1vRNKcwGeA7ageEQsDB9n+Q4LTERExXCWYEBOdpCmBW6lxgB9t9aNfB2axvbukpYFtgRG2vzSE6xhIy5+Nei78b7t8PuBi4Fu2j29vgu+3fetQrWW4GieTY2pgV2BaqineSNt3SVqfapqZzd8EkDS97Wf7cePR8VxclKolv4fKCtqMarD6sKRlqGDV5rb/1sXlxmtQTWrYFvhK649yJPAp4FO2L2uv+ytTE3kOsH1qF5fbNS2oMBaYyvb9/fh8joiISUdGQ8ZEZ/tfwCbA8pK2a2nKzwOzthPXW6ishSlaBsNQrcOSPkal5J8qaZf2pS2B79s+vl3vvAQS/lPHBnDtdj9OSY3wXA/YpgUSVgAOpk7hYsI81+0FDJX2OFoX+B2wOXAbNRL2NuAYSb+iUuQPTiCh97SA6wHA4S2QINvbAb8EDpQ0e3vdvxj4GlXSNkmy/Yjtx2zf3z5PICEiIoatZCZE13R0q78YmJE6gby3fW0EMJ3tZ4bw9hcB/pvqDv+vtpa9bB/dcZ102H4DbQN4MDX+8ez2O92X6oFhairGN9w6t0e8FkkLA8dRgYTFqdGXS7mmVSwBTA+MbiUOOcntIa23zOnAsrZvV00b2RvY2/aDkn4MvJuawjNJlDRERERMKhJMiK6S9B6qGdUPbH+nNVqza1LDUN7u/FRjsMmpdPwX2xSC84DDbB8wlLffDyRNRY3xPNz2n/Tq6MKlgQWAuYEbWhf+bADjdUmaCfg8lX3xZWBT23+TtB5wse2+zcoY7trz/VpgXeB84HLgFNv/3XGd46jJPOskOBsREdE/Mhoyusr2dapZ8mdLetb2IUN1W50bWtv3SPofYCNgLUmXuEZOrg1cLOlE4J688X1Dk1MZJc+3z6cAxgCP2L6h84oJJESnjhKZaahGp2Oo0qf5gflbUOoD1An3XVSPlehBLVtkeeBcqhfAdrZPGvi6pMVsf0HSHHk9jYiI6C8JJkTX2f6rpA2B8yWdyhCMe+vYvKwCLE2dgP4CeIEKKIyVdJnt6yXNZzszv8fRcR/OCjxh+zlJZwD7SNrW9t2SVgQOa7/PBxNEiNfSHkcfpUaH3kOVOn0cuBHYQ5KBjYF90q+k99m+WtJHqGk8kw1cLmlzYDNJI20/2rUFRkRExJBIMCF6gu2rJM07VB3/2+ZlLaq04SRgBWpE1wrtKp8HRkg6i3bSntT8f9exAfwi8M+WvXEq1RvhQkk/p0af7WH7ge6tNHqdpHcBW1PTGZ6k+iVMT40S3IxqDvxV2xfleTg8tMyutYBzJY0BHgO+QvXCeay7q4uIiIihkJ4J0TM6Tr4HZfMgaXZgnoGUe0lHAKNs/6x9fiQwr+2PtUkO59m+cUJvt19JWpVqWLkhtQmcg5q68Stq5NsI4On0SIhxSZoHmAq4F1gIOAc43fZO7etzUL1TtrB9dbfWGROuNWH9CxVMWCWZJREREf0rmQnRMzr6GQxGIGFK6gT97ZJ+ZnsUVdowS8fV9gCOaBMbfjCht9mvOiZaLANsQ50ezwX8tn0+FfBb2/8c+J4EEmKApMWoDJb9gMds3ynpTKpXyTy2H7T9qKTzqeyEGMZsXyNpSWCM7du7vZ6IiIgYOiO6vYCIodBmml9EnY5tIumdwG+APSV9rF1taWoM3VyS1JWF9rCO+2RqANuHUo3wvgBs1Lq1PwWsCEzTjTVGb5O0AHAKNa3lZFoJke0dqOyE30n6eOtlshE1ojWGOdu3JJAQERHR/xJMiL4i6e2tbhfbV1FNFl8CvgQ8CHwUOEjSMcBPgH3byWhO0sfRSk7WBn4p6astVX00lYmwdRvrORXww/RIiNexKvAn2z+VNAJYWtJ2kja0vTNwJvU8XA/4pO3LE9iLiIiIGB7SMyH6RittuBN4O3AM8CjwO+pkfSVgJuAQKog2DTCd7VtS3//aWpO844GjgE8CNwAnUKnoe1Nj/PazfVrXFhk9TdLKwAHAt6npDNMASwLXAqNtf0nSfwPLA2vafj7Px4iIiIjhIcGE6CuSlgFOpzYrPwP2opqBLQ48TqVZ72/7zq4tsod1NMFcApgdeK/tQyUtBOwGPAL8ngoszGP7gWz+4vVImpbqq7EF8Dfgh8BNwHzA7rY3a9c7AZgN2MD2mO6sNiIiIiLGR4IJ0XdaQOEiqjP8aZIWBnanusivDixt+6YuLrGnSVqdGp95KbAmsEIb+zY/8C0q42Nf26O7uMwYRiTN2tmgs2Us7A+MtH1fu2wu2w93a40RERERMX4STIi+JOkDwLnAN2z/eGAigaQFbd/V7fX1KkmLUFMujrN9qaTdqfT0L9i+oTXUmz7BmHgrJE1BBagOBPa0faakyZKNEBERETH8ZDRk9CXbf5G0BnCWpKnaJAKAu+HVdP5ura+XdJQ2vBf4ClUSMr+kK2x/X9LLwCmSPm37+u6uNoarFkj4ALALsLftMwESSIiIiIgYnpKZEH1N0geB84ElgPsSQHhtkj4CfA34DvAJYErgJNtXt6/vDlxh+7LurTKGuxZQmM32wwnoRURERAxvCSZE35M0o+2nu72OXiVpKSoj4c+2j5M0GzWt4SXg97av7OoCIyIiIiKi54zo9gIiJoJnoNL5u72QXiJp4Pm/PLAMsJSk2Ww/TjVanAH4jKSZurXGiIiIiIjoTclMiJjEdPRImNP2I+2yTwCfAk4BLrL9pKRZgLls39rN9UZERERERO9JA8aISUwLJKwH7CHpUuD+NvFiKuDjwJSSzrP9BPBEN9caERERERG9KcGEiEmMpJWA7wGfAXYF1pQ0L7AP1Xjx48DFXVtgRERERET0vJQ5REwiWo+EyYCNgeuBuYEDgQOALYFrgX2BOWw/1K11RkRERERE70sDxog+18bxAYyw/RJwInAnsDmwqe1TgeeAdwELJ5AQERERERH/n5Q5RPQpSfMAD9t+SdL6wBaSzgL+avsGSe8AVmu9EuYBtrF9RzfXHBERERERw0PKHCL6lKQfA+8Evg58HzgfWAB4GjgKmLH9/SJwmO2Tu7PSiIiIiIgYbhJMiOgzkqaz/Vwb7bgXsAGwn+3fSFoG2BCYBfgJ8HdgJttPDIyM7N7KIyIiIiJiuEgwIaKPSFoMOAS4B7gN+D3VYHEp20u36ywJjASmA/a1/VSXlhsREREREcNUggkRfULS4sDRwM+p5qpLA9cBJ1HlDNMCn7BtSUsBo23/rTurjYiIiIiI4SzBhIg+IGlK4FbgZtsfbWMgd6fGPO4iaXrgh8DbgbVTzhARERERERMioyEj+oDtfwGbAMtL2s72WGA0MKOkKWw/C+wMPAq8r4tLjYiIiIiIPpDMhIg+Iun9wHnAxdS0hi1s39vx9clsj+nW+iIiIiIioj8kMyGij9i+BlgVWBm40Pa9kiZvZQ8kkBAREREREYNh8m4vICIGl+3rJK0BnC3pWduHdHtNERERERHRX1LmENGnJH0QOB9YAri/9VGIiIiIiIiYYAkmRPQxSTPafrrb64iIiIiIiP6SngkR/e0ZAEnq9kIiIiIiIqJ/JDMhIiIiIiIiIsZLMhMiIiIiIiIiYrwkmBARERERERER4yXBhIiIiIiIiIgYLwkmRERExLAlaRVJZ7SPPyppjze47syStpt4q4uIiOhfCSZEREREz5E02fh+j+3TbR/0BleZGUgwISIiYhAkmBARERETlaQFJN0m6VeSbpV0iqRpJd0t6XuSRgGflrSWpCsljZJ0sqTp2/ev075/FPDJjn93C0lHtI/nlPR7Sde3Px8CDgIWlnSdpP/qxs8eERHRLxJMiIiIiG5YFDjS9ruBp3k1Y+Bx2+8Dzgf2BtZon18D7CJpauAYYENgWWCu1/n3DwMutr0M8D7gZmAP4O+232N7tyH6uSIiIiYJCSZEREREN9xn+/L28QnAiu3jk9rfywOLA5dLug7YHJgfWAy4y/adtt2+97WsBvwYwPYY208N/o8QEREx6Zq82wuIiIiISZJf5/Pn2t8CzrM9svNKkt4zxOuKiIiINyGZCREREdEN75C0Qvt4U+Cycb7+Z+DDkt4JIGk6SYsAtwELSFq4XW8kr+1PwLbteyeTNBPwDDDDIP4MERERk6wEEyIiIqIbbge2l3QrMAutJGGA7ceALYATJd0AXAksZvsFYBvgzNaA8dHX+fe/Cqwq6Ubgr8Dith+nyiZuSgPGiIiICaMqN4yIiIiYOCQtAJxhe8luryUiIiLemmQmRERERERERMR4SWZCRERERERERIyXZCZERERERERExHhJMCEiIiIiIiIixkuCCRERERERERExXhJMiIiIiIiIiIjxkmBCRERERERERIyXBBMiIiIiIiIiYrz8H8Ksj/x7PxU6AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1152x1152 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "confusion = confusion_matrix(y_test, pred_test)\n",
    "plt.figure(figsize=(16,16))\n",
    "plt.imshow(confusion, cmap=plt.cm.Blues)\n",
    "indices = range(len(confusion))\n",
    "plt.xticks(indices, labels, rotation=45, ha='right')\n",
    "plt.yticks(indices, labels)\n",
    "plt.colorbar()\n",
    "plt.xlabel('predict')\n",
    "plt.ylabel('true')\n",
    "for first_index in range(len(confusion)):\n",
    "    for second_index in range(len(confusion[first_index])):\n",
    "        plt.text(first_index, second_index, confusion[first_index][second_index])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "precision, recall, F1 score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "**************************************** Evaluation results*****************************************\n",
      "                                       Precision.       Recall.          f1.            \n",
      "                 Addictive Behavior    0.9241           0.8295           0.8743         \n",
      "                            Address    0.8000           0.6667           0.7273         \n",
      "                                Age    0.9900           0.9738           0.9818         \n",
      "                   Alcohol Consumer    0.5714           0.6667           0.6154         \n",
      "                Allergy Intolerance    0.9327           0.9327           0.9327         \n",
      "                            Bedtime    0.9091           0.8333           0.8696         \n",
      "                     Blood Donation    0.7692           0.9091           0.8333         \n",
      "                           Capacity    0.6379           0.6607           0.6491         \n",
      "           Compliance with Protocol    0.7656           0.8167           0.7903         \n",
      "                            Consent    0.9526           0.9284           0.9404         \n",
      "                    Data Accessible    1.0000           0.8400           0.9130         \n",
      "                             Device    0.5143           0.3913           0.4444         \n",
      "                         Diagnostic    0.7877           0.8010           0.7943         \n",
      "                               Diet    0.7826           0.7826           0.7826         \n",
      "                       Disabilities    1.0000           0.8571           0.9231         \n",
      "                            Disease    0.8464           0.8698           0.8580         \n",
      "                          Education    1.0000           0.8571           0.9231         \n",
      "                          Encounter    0.7727           0.6800           0.7234         \n",
      "        Enrollment in other studies    0.9438           0.9655           0.9545         \n",
      "                      Ethical Audit    1.0000           1.0000           1.0000         \n",
      "                          Ethnicity    1.0000           0.8000           0.8889         \n",
      "                           Exercise    1.0000           1.0000           1.0000         \n",
      "                             Gender    1.0000           1.0000           1.0000         \n",
      "                            Healthy    0.6667           0.7692           0.7143         \n",
      "            Laboratory Examinations    0.8733           0.8234           0.8476         \n",
      "                    Life Expectancy    0.9464           0.9636           0.9550         \n",
      "                           Literacy    0.6923           0.5625           0.6207         \n",
      "                           Multiple    0.7322           0.7403           0.7362         \n",
      "                    Neoplasm Status    0.6250           0.5682           0.5952         \n",
      "         Non-Neoplasm Disease Stage    0.5882           0.3125           0.4082         \n",
      "                            Nursing    0.7500           0.5000           0.6000         \n",
      "                       Oral related    0.7727           0.8947           0.8293         \n",
      "             Organ or Tissue Status    0.8596           0.8167           0.8376         \n",
      "   Pharmaceutical Substance or Drug    0.8529           0.8700           0.8614         \n",
      "         Pregnancy-related Activity    0.9377           0.9622           0.9498         \n",
      "                    Receptor Status    0.6000           0.3333           0.4286         \n",
      "                Researcher Decision    0.9281           0.9404           0.9342         \n",
      "                    Risk Assessment    0.8894           0.8465           0.8674         \n",
      "                     Sexual related    1.0000           0.8462           0.9167         \n",
      "                               Sign    0.4884           0.4330           0.4590         \n",
      "                     Smoking Status    0.9500           1.0000           0.9744         \n",
      "     Special Patient Characteristic    0.6667           0.3684           0.4746         \n",
      "                            Symptom    0.5714           0.4800           0.5217         \n",
      "                 Therapy or Surgery    0.7732           0.8387           0.8046         \n",
      "                                       ---------------  ---------------  ---------------\n",
      "                    Overall (micro)    0.8293           0.8293           0.829284       \n",
      "                    Overall (macro)    0.8196           0.7712           0.789906\n"
     ]
    }
   ],
   "source": [
    "import evaluation # our defined evaluation metrics.\n",
    "results = evaluation.Record_results('../data/test.txt', 'SVM_test_pred.txt')\n",
    "evaluation = evaluation.Evaluation(results.records)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### save models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "model_save_file = \"SVM_model.mkl\"\n",
    "pickle.dump(model, open(model_save_file, 'wb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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