nb.ipynb

{
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  {
   "cell_type": "markdown",
   "id": "399a25ec-d015-41da-ad3f-1e77b7caa378",
   "metadata": {},
   "source": [
    "## Отрицательное биномиальное распределение, $\\mathrm{NB}(r, p)$\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e29042b2-6b00-476c-86de-3a4838efa5eb",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import importlib\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from utils import utils, nb_utils\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "\n",
    "def reload_files():\n",
    "    importlib.reload(nb_utils)\n",
    "    importlib.reload(utils)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "edadb6a1-0bc5-46d6-9871-1c9537a09eca",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "DATASETS = {\n",
    "    0: 'acl-imdb'\n",
    "}\n",
    "\n",
    "LABELS = {\n",
    "    'positive': 1,\n",
    "    'negative': -1\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "81a2773f-2398-4792-9406-82e7f0ef99d0",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "reload_files()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c661143d-a147-49ea-9838-c42e0ac7a254",
   "metadata": {},
   "source": [
    "### Загружаем экспериментальные данные\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "fdbb4ea3-6fbd-4692-a51b-016ca2173532",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Don't bother trying to watch this terrible min...</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Space Camp, which had the unfortunate luck to ...</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Well, I suppose the good news concerning Willi...</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>After leaving TV's popular \"The Andy Griffith ...</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>I knew I was going to see a low budget movie, ...</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                text  label\n",
       "0  Don't bother trying to watch this terrible min...     -1\n",
       "1  Space Camp, which had the unfortunate luck to ...     -1\n",
       "2  Well, I suppose the good news concerning Willi...     -1\n",
       "3  After leaving TV's popular \"The Andy Griffith ...     -1\n",
       "4  I knew I was going to see a low budget movie, ...     -1"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = utils.load_data(DATASETS[0])\n",
    "\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "56b11c55-2072-4c7a-901c-282d8afbbbfd",
   "metadata": {},
   "source": [
    "### Токенизируем данные\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4f80a69f-8d55-4bd3-b829-9b0bd26a0a1d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "      <th>label</th>\n",
       "      <th>tokens</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Don't bother trying to watch this terrible min...</td>\n",
       "      <td>-1</td>\n",
       "      <td>[do, not, bother, trying, to, watch, this, ter...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Space Camp, which had the unfortunate luck to ...</td>\n",
       "      <td>-1</td>\n",
       "      <td>[space, camp, which, had, the, unfortunate, lu...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Well, I suppose the good news concerning Willi...</td>\n",
       "      <td>-1</td>\n",
       "      <td>[well, i, suppose, the, good, news, concerning...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>After leaving TV's popular \"The Andy Griffith ...</td>\n",
       "      <td>-1</td>\n",
       "      <td>[after, leaving, tv, s, popular, the, andy, gr...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>I knew I was going to see a low budget movie, ...</td>\n",
       "      <td>-1</td>\n",
       "      <td>[i, knew, i, was, going, to, see, a, low, budg...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                text  label  \\\n",
       "0  Don't bother trying to watch this terrible min...     -1   \n",
       "1  Space Camp, which had the unfortunate luck to ...     -1   \n",
       "2  Well, I suppose the good news concerning Willi...     -1   \n",
       "3  After leaving TV's popular \"The Andy Griffith ...     -1   \n",
       "4  I knew I was going to see a low budget movie, ...     -1   \n",
       "\n",
       "                                              tokens  \n",
       "0  [do, not, bother, trying, to, watch, this, ter...  \n",
       "1  [space, camp, which, had, the, unfortunate, lu...  \n",
       "2  [well, i, suppose, the, good, news, concerning...  \n",
       "3  [after, leaving, tv, s, popular, the, andy, gr...  \n",
       "4  [i, knew, i, was, going, to, see, a, low, budg...  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['tokens'] = [[token for token in utils.word_tokenize(text, stop_words=False)] for text in data['text']]\n",
    "\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61b2dc41-5040-4dc6-a6f0-e89f8a624b32",
   "metadata": {},
   "source": [
    "### Находим части речи\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6a1a6018-1308-415f-8bc1-313c41c64f14",
   "metadata": {
    "tags": []
   },
   "outputs": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "      <th>label</th>\n",
       "      <th>tokens</th>\n",
       "      <th>pos_tokens</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Don't bother trying to watch this terrible min...</td>\n",
       "      <td>-1</td>\n",
       "      <td>[do, not, bother, trying, to, watch, this, ter...</td>\n",
       "      <td>[(do, VERB), (not, ADV), (bother, VERB), (tryi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Space Camp, which had the unfortunate luck to ...</td>\n",
       "      <td>-1</td>\n",
       "      <td>[space, camp, which, had, the, unfortunate, lu...</td>\n",
       "      <td>[(space, NOUN), (camp, NOUN), (which, DET), (h...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Well, I suppose the good news concerning Willi...</td>\n",
       "      <td>-1</td>\n",
       "      <td>[well, i, suppose, the, good, news, concerning...</td>\n",
       "      <td>[(well, ADV), (i, NOUN), (suppose, VERB), (the...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>After leaving TV's popular \"The Andy Griffith ...</td>\n",
       "      <td>-1</td>\n",
       "      <td>[after, leaving, tv, s, popular, the, andy, gr...</td>\n",
       "      <td>[(after, ADP), (leaving, VERB), (tv, NOUN), (s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>I knew I was going to see a low budget movie, ...</td>\n",
       "      <td>-1</td>\n",
       "      <td>[i, knew, i, was, going, to, see, a, low, budg...</td>\n",
       "      <td>[(i, NOUN), (knew, VERB), (i, NOUN), (was, VER...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "                                                text  label  \\\n",
       "0  Don't bother trying to watch this terrible min...     -1   \n",
       "1  Space Camp, which had the unfortunate luck to ...     -1   \n",
       "2  Well, I suppose the good news concerning Willi...     -1   \n",
       "3  After leaving TV's popular \"The Andy Griffith ...     -1   \n",
       "4  I knew I was going to see a low budget movie, ...     -1   \n",
       "\n",
       "                                              tokens  \\\n",
       "0  [do, not, bother, trying, to, watch, this, ter...   \n",
       "1  [space, camp, which, had, the, unfortunate, lu...   \n",
       "2  [well, i, suppose, the, good, news, concerning...   \n",
       "3  [after, leaving, tv, s, popular, the, andy, gr...   \n",
       "4  [i, knew, i, was, going, to, see, a, low, budg...   \n",
       "\n",
       "                                          pos_tokens  \n",
       "0  [(do, VERB), (not, ADV), (bother, VERB), (tryi...  \n",
       "1  [(space, NOUN), (camp, NOUN), (which, DET), (h...  \n",
       "2  [(well, ADV), (i, NOUN), (suppose, VERB), (the...  \n",
       "3  [(after, ADP), (leaving, VERB), (tv, NOUN), (s...  \n",
       "4  [(i, NOUN), (knew, VERB), (i, NOUN), (was, VER...  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from nltk import pos_tag_sents\n",
    "\n",
    "\n",
    "data['pos_tokens'] = pos_tag_sents(data['tokens'], tagset='universal')\n",
    "data['pos_tokens'] = utils.pos_filter(data['pos_tokens'])\n",
    "\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8456a0fe-5e91-4cc9-a828-86a237ae54bd",
   "metadata": {},
   "source": [
    "### Формируем $n$-граммы\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "75afed70-1d60-437f-8b66-784aa7958c43",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "      <th>label</th>\n",
       "      <th>tokens</th>\n",
       "      <th>pos_tokens</th>\n",
       "      <th>ngrams</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Don't bother trying to watch this terrible min...</td>\n",
       "      <td>-1</td>\n",
       "      <td>[do, not, bother, trying, to, watch, this, ter...</td>\n",
       "      <td>[(do, VERB), (not, ADV), (bother, VERB), (tryi...</td>\n",
       "      <td>[((do, VERB),), ((not, ADV),), ((bother, VERB)...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Space Camp, which had the unfortunate luck to ...</td>\n",
       "      <td>-1</td>\n",
       "      <td>[space, camp, which, had, the, unfortunate, lu...</td>\n",
       "      <td>[(space, NOUN), (camp, NOUN), (which, DET), (h...</td>\n",
       "      <td>[((space, NOUN),), ((camp, NOUN),), ((which, D...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Well, I suppose the good news concerning Willi...</td>\n",
       "      <td>-1</td>\n",
       "      <td>[well, i, suppose, the, good, news, concerning...</td>\n",
       "      <td>[(well, ADV), (i, NOUN), (suppose, VERB), (the...</td>\n",
       "      <td>[((well, ADV),), ((i, NOUN),), ((suppose, VERB...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>After leaving TV's popular \"The Andy Griffith ...</td>\n",
       "      <td>-1</td>\n",
       "      <td>[after, leaving, tv, s, popular, the, andy, gr...</td>\n",
       "      <td>[(after, ADP), (leaving, VERB), (tv, NOUN), (s...</td>\n",
       "      <td>[((after, ADP),), ((leaving, VERB),), ((tv, NO...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>I knew I was going to see a low budget movie, ...</td>\n",
       "      <td>-1</td>\n",
       "      <td>[i, knew, i, was, going, to, see, a, low, budg...</td>\n",
       "      <td>[(i, NOUN), (knew, VERB), (i, NOUN), (was, VER...</td>\n",
       "      <td>[((i, NOUN),), ((knew, VERB),), ((i, NOUN),), ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "                                                text  label  \\\n",
       "0  Don't bother trying to watch this terrible min...     -1   \n",
       "1  Space Camp, which had the unfortunate luck to ...     -1   \n",
       "2  Well, I suppose the good news concerning Willi...     -1   \n",
       "3  After leaving TV's popular \"The Andy Griffith ...     -1   \n",
       "4  I knew I was going to see a low budget movie, ...     -1   \n",
       "\n",
       "                                              tokens  \\\n",
       "0  [do, not, bother, trying, to, watch, this, ter...   \n",
       "1  [space, camp, which, had, the, unfortunate, lu...   \n",
       "2  [well, i, suppose, the, good, news, concerning...   \n",
       "3  [after, leaving, tv, s, popular, the, andy, gr...   \n",
       "4  [i, knew, i, was, going, to, see, a, low, budg...   \n",
       "\n",
       "                                          pos_tokens  \\\n",
       "0  [(do, VERB), (not, ADV), (bother, VERB), (tryi...   \n",
       "1  [(space, NOUN), (camp, NOUN), (which, DET), (h...   \n",
       "2  [(well, ADV), (i, NOUN), (suppose, VERB), (the...   \n",
       "3  [(after, ADP), (leaving, VERB), (tv, NOUN), (s...   \n",
       "4  [(i, NOUN), (knew, VERB), (i, NOUN), (was, VER...   \n",
       "\n",
       "                                              ngrams  \n",
       "0  [((do, VERB),), ((not, ADV),), ((bother, VERB)...  \n",
       "1  [((space, NOUN),), ((camp, NOUN),), ((which, D...  \n",
       "2  [((well, ADV),), ((i, NOUN),), ((suppose, VERB...  \n",
       "3  [((after, ADP),), ((leaving, VERB),), ((tv, NO...  \n",
       "4  [((i, NOUN),), ((knew, VERB),), ((i, NOUN),), ...  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['ngrams'] = utils.ngrams_sents(data['pos_tokens'], n=1)\n",
    "\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "07a18e85-c63f-46ef-9d06-707dc2530e12",
   "metadata": {},
   "source": [
    "### Оцениваем параметры распределений и проверяем гипотезы согласия\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7246c089-8ee5-4ca5-b3cb-376a56eba6b7",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import itertools\n",
    "\n",
    "\n",
    "def nb(data, chunks):\n",
    "    populations = dict()\n",
    "    nb_populations = dict()\n",
    "    for i, (label, label_index) in enumerate(LABELS.items()):\n",
    "        label_data = data[data['label'] == label_index]\n",
    "        chapters = utils.chunks(list(itertools.chain.from_iterable(label_data['ngrams'])), chunks[i])\n",
    "        populations[label] = {k: v for k, v in nb_utils.populate(chapters).items() if sum(v) > 30}\n",
    "        nb_populations[label] = nb_utils.nb_filter(populations[label])\n",
    "    return populations, nb_populations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "6950c195-10ce-44d0-8dee-f902a1b718b0",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "populations, nb_populations = nb(data, chunks=[300, 294])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c2db8b75-88b4-4940-88a4-babf6ab26325",
   "metadata": {},
   "source": [
    "### Находим нейтральные и полярные $n$-граммы\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "1f4fa383-c47f-4208-b2b5-efaddddf755c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[neutral ngrams] Total: 839\n"
     ]
    }
   ],
   "source": [
    "# Нейтральные n-граммы\n",
    "\n",
    "neutral_keys = nb_populations['positive'].keys() & nb_populations['negative'].keys()\n",
    "\n",
    "neutral_ngrams = {label: {key: label_population[key] for key in neutral_keys} for label, label_population in nb_populations.items()}\n",
    "\n",
    "print(f'[neutral ngrams] Total: {len(neutral_keys)}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6e492b9f-9b3c-4079-ac2c-fc95f2022275",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[positive ngrams] Total: 365\n"
     ]
    }
   ],
   "source": [
    "# Позитивные n-граммы\n",
    "\n",
    "positive_keys = nb_populations['positive'].keys() - nb_populations['negative'].keys()\n",
    "\n",
    "positive_ngrams = {key: nb_populations['positive'][key] for key in positive_keys}\n",
    "\n",
    "print(f'[positive ngrams] Total: {len(positive_keys)}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "cd27c8ef-573d-48bc-bf86-6e201dc0e69e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[negative ngrams] Total: 273\n"
     ]
    }
   ],
   "source": [
    "# Негативные n-граммы\n",
    "\n",
    "negative_keys = nb_populations['negative'].keys() - nb_populations['positive'].keys()\n",
    "\n",
    "negative_ngrams = {key: nb_populations['negative'][key] for key in negative_keys}\n",
    "\n",
    "print(f'[negative ngrams] Total: {len(negative_keys)}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "279e1d8d-fb7d-40c9-8863-b210d7f4907f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[polar ngrams] Total: 638\n"
     ]
    }
   ],
   "source": [
    "polar_ngrams = {'positive': positive_ngrams, 'negative': negative_ngrams}\n",
    "\n",
    "print(f'[polar ngrams] Total: {len(positive_keys) + len(negative_keys)}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "633d28b0-724c-4b5f-b9f8-af29ab3208c5",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "35a753f8-704d-4967-bd6d-234936a3ffc2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nb_utils.scatter(neutral_ngrams, title='Neutral ngrams', xlabel=r'$r$', ylabel=r'$p$', annotate=False, x_right=200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c87dea29-9be9-4316-a374-628801bd091c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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OSCpawzbkaW+DxvmwthnGV0HNPNKhzCGug2zYfv8H0jg/DqSiXPwB8eeN8+GozxR2bdIQG6pKGCtsdg+pkvjfwxH1/+mSJMBQSlKR2tpOPVC4X2zTbW3U1/+AlvWjqWQ0ddHFpJpupP6wv9G0elRXiwlsaTGZe2R+1lZogxkijcidmtY2d1RIdXsHHZLx8Q4jLmiTttNQVcJYYbP7SJUUz7+HkrQ78VdVSbunfqqNurc49Z4jAvHn1y+CO58uTFiRzsDsm1pp2vBpkiFLliQN4YM0rH4zLaOXkEzMGB4tJtt4bYfCYIdIA33/h3XIN74qbtnrLsrGxxmhQZu0nYaqEsYKG0mSCst/ciXtsmFXnbEds3eWroUQoPv+o8kE3NNcuLCivhGaNlQQhQQZkvFzR7XUhwuojJaSzc3ocX5BWkwKNNdosEOkETlHpmZe/Fp3f+0rauPjjNCgTdoBQ1UJY4WNJEmFYygljQDDLvTpZlhWZ2xj9k46A3c3Qy7q+bBsLiIiRzKRLEhY0dIKyRCR6R6UkaWFg/nS5BdoyA6DFpMCzTUa7BBpRM6RKS2Lw78BqtRGZNAmSZKkojZM3tZKGsiwDH26GZbVGduYvVPfCCs39HpMFLE/L3LK2tt4JPcpIHTdla+worIcslGix7EsSSr33ERqxsdpOHIYhJPbMddoKAx2iDRi58iUlg0Y/o3IoE2SJElFLbHtUyQVUu/QJ2JL6DMcdFZndFfw6oxtzN5paYWSXmtOkOXk6E7OXf8lpo1ZRSA+J5C/sKKuBqZVBAIRJSFLIEf1nmuoq/s4lJZ1tZhcMjO+LUgouY3XdqjErw2D9n3pnCNz8Qlw9hHx7W3DJOjdWYP9GkmSJElDbQT/+i0Vh7y25HQbYJ0eeyj1iXm0rB+11aqcYVmdsY3ZO/2tOSJQFT1DKrTT8JpvUr/Pd/NekbRl4G6gpTXZ8dz7D6+gZBuv7VAZimHEu9scGQc2S5IkaaTxV1VpmMtb6NNtgHU6jGF2uJ+mUEIyEZHNhQFbBodlG9Q2Zu9sWXOOZJQhS5JqFlEXzQeypPaeVLCwYtgHJdt4bYfSsH9thgFfI0mSJI0kIYqiaNunjWytra2MGzeOdevWUV7ucA3tunwOHu9vplR1xRC0Gj1yBTxwEUQ5rgmf5tLE5UQh2XV3IG5x6u8N73AexD6QdAbqF22m5eEGKtseoo5rSEUb4qqfsxbkJWSRJEmSpJFiKLKVYf62Udp5QxWU5HvweN5acroNsG4JVSTJkmFLKLW1lsGRWJ2RKoG5R4+C6e+GxhWw9py8Vv1IkiRJUrEzlNJuaSiDo0LsNpeX0KfbAOvKqJlstyopGJyWwYJUVHWbk9Vv6LSV3cwkSZIkSUPHUEq7pUEJjgYIM/I6eDyfug2wrgvX0sCHaaKWZCKQzYVdnhOV7wozoMecrK6h3E03xjORrIaSJEmSpIIylNJuoXcFztK1uxgcbSXMqCwvG367zQ2GbgOsU2ubaRi7gPrE4dvcfW97FaLCjMb58fcwysUfEH/eON/qKEmSJEkqMEMpDTvpDFy/CO5phijAKQfDuTMGDkT6q8DZb8wu7li3lTCjbvpnht9uc4OlWytbCpg7iJcuSIVZtzlZXUIyPi5JkiRJKihDKQ0r6Qy89xfQtGbLsYeXw6+ehjs+sCWY6l4ZtfzVvhU4KzfAhDHx7U4FR1sJM/I2eHwnDOdd8CrLdzEo3Bnd5mR1ibLxcUmSJElSQQ2Tt6tSrL4RnljT9/gTa7a0efWujMrk+p5fkoCTq6Bq/E4GNOOrINcrzMhtCTOG425zBZnZtAPqash/hVm3OVldbZgVtfFxSZIkSVJBDYO3qtqtdR8WPnYSEMGrL/S/CxpxgBQCRFHPywTiOVHXPAq/fxaWrI6P9xdIQRx4VI3fieCoc71rmiCRhFy3JygZDdPO2cEL5k9BZjbtgIJUmHWbkzXg7nuSJEmSpIIwlNLQ6T0sPNfecUeIb/rZBa2yvG8gBRARcXdzYNWGOLSKo5fQ4wwIJANkI9grFQcz6cwOhB7d10vo2/aVSUPTDcN2QPZI2BWwIBVm3eZkSZIkSZKGj0ShF6DdWON8WNUxLLwrkII4QIpg1aL4nG7qauCwfXLx/dGWj/1ZxcoNERGQi6BnIBVf86TKDONS8T2tm+G/F8btbOnMDqy3a7h5tu/9iZJhPSC7IDObNDK0t8EjV8C9n4xv29sKvSJJkiRJslJKQ+jlp4kDqAGE0CfkSZXA7VO/x/ULX+QeTicCTol+zdIwhV8m5pLrHkZFEYE4halmMW8I6/lT25t3vn2tv+Hm3Q3zAdkFmdmk4a93xWKU7bdKUZIkSZLyzVCqyA3pbm0bVrDVUCrK9RvypF59hnlczbzct+I1kuLExDM9A6n4AhwV/YV3RA3UhWv5xqu/3rX2tf52agMIHQWFw3xA9nDeFVAF1KMCsOMvx+rF8XHbGiVJkiQVkG9Xi9hWd2uL2nZ9OPSYiVu/f88D+w95eoVD9WEeK5kIvaqkJvAiN+XeRoo0kKByXET25Z6X2qH2td47teWysOdEqHoX7D11x1+D9kF4DXfQcNwVUAXWXwVgSA7rVlRJkiRJxcFQqli1t1F/14M0rX4zEYme7W6LNjP3iUFo99l7KnGQ1E+11J4Hwkca+79er3CohUNIhhwZkl2nJEKOU3K/IZXIQpSAilrq3voGGm7fhfa1wdypzZYpDRf9VQAO81ZUSZIkScXBUKoYdQQmLWs+SjIcSyaM6rormYCW5iWD0+7TPVwiEb8RLtsXjr4IZnxy4HCmVzhUueFwskt7/qhGJJh8yGEw5vyu8ChVWrbr7WuDtVObLVMaLnpXAEbZYd+KKkmSJKk4GEoVo47ApJLnyIZkj7uyOaiMlu5cu09/7Wo7W3nULRyqy0DDLb0roAJ175wJJTN7PCyf7Wtbncdly5SGi8GsAJQkSZKkQWQoVYw6ApMzc9fzY/6dl6IDSZAlCgmqKxLUTX4BXtzBdp+ttavtQmVQZ/BTOwEOGAv7j4HJ4ws/wHugeVw/mw23NkHLvz5KJaXU8cOOmVfYMqXCGawKwA5DukGCJEmSpKLh24jd0dYGbLe3wavLSOeSfCh5Dy8xkQRZciTYP/EyN71rDKnUx+Cp63es3ae/drVVi+DWt8HU2TtVmdFf8DOtAr785sK/Aa5vjNcVsWW3vyWr4e31sHIDJBO1ZBPTaQh1NEQzSUUbbJnSbmGrGyT4L4okSZKkHZAo9AI0yDorlh64CBqvjm9vPi4+3nnfc3dSH+bRRC2EJLlQAiHBquxe3HrzDyDTBq/9AEw8Fia+AY6/DM5asPVQqbNdrYcIlv+l5xp2QO/gJ6JjEHvjDr4mQ6ClNX5D3l0iwEsbOtcbiEjQFGqpP+B6OPHybb+G0ggwnP9eSpIkSRpZ/O/au4uO6qj0U7+hfvVMWsK5VEbN1EXzSXUO2IaOoeMRLaGKJNmeO9qR5a71x9By7a+o3LySOh6LK3zWLYXDzobGWwaeSdPfDl8AdLxr7WfIdzoT7/TX0ryEymgpdZNfIDXjY13X7Qx+Mt3GMiUT8fFCqyyPK0S6y0VxMJXrttlgMpGgZf/ZcFR+1ycNleH891KSJEnSyGIoNdK1t8FjV8HD3ybdtp7ZyQU0JWpJkiUbkjRQR0P0FlJdA7YTQI7KqLnvkHNKeSQcx6LMG8gmkjRwNg3Z40mtfxGumQy5LCR6zYvqDKZ67LRHzwHf0GfIdzoDs3+Ro2lNCcmomiw1NKxYTMOTJ5H64H1QWtZv8JPNxYFQodXVxC1L3VuY9h8Tt+51N1zWKw2W4fz3UpIkSdLIYvveSNbZjvfnL0Dbmq6WvCgkyYRRRCFJE7VczwVcs+EMvrJmDtdwIWlS1EXzmcYiQpSlJNrcFSJFIdHjsfWhYwZSrh3IxbdRLp4X9dsPwr2fhEeuiM85a2HcpnbAsUDoudZeQ77rG6FpDUR0f77p1P/rTV1VXXU18QypAJQk4tvqivh4oaVK4hk6F58AZx8R3/6hbviuV4MrnYFrHoWv3B/fpjOFXlH+DOe/l5IkSZJGlhBFUbTt00a21tZWxo0bx7p16ygvH8H/Ob/3APPsZtILLqGe82gJVTRRy2PhDWTCqK6HJKIMpSHDJkaTJEcugmksoiF7PAD1YR7NYSr/F97OC7yGqFv1VCLK8KHox3w99/GB15Qo7RiEPn1L5VR/O/FV1PaYqfSV++GmxRky3Yr1SqLNnM2PueSIJ+Hkq4CRt8vXSFuvdtxAA/iLadC3P+eSJElS8RmKbMW3ESNFP0FPevSBvDexkCeoIRCRI9C7QikXkmwiCQSyJCFAUxRXQNVF88mE0dyVPIuXo3F9H0uSu8PpfJnPkiLd/7py7fFt95lRpWVxQDXQDoB0tAD1KtTLkqQyeq5HRVWqBOYeubMvWv4NyXq3tpui8q6/nRc7B32PpJ/VXTHS/l5KkiRJGp4MpUaKxvlx8BPlulrtrt90Fk2J6RACXeVuUUSIcgRy5EhCCH0ulSRLcziU2YkFNDGDKOobZgEQAiujA6gP85ibvBoym+KZUrn2jvO7Fdn1mhlFaVmPoea91dVAwxPQtCZHMsqQJUk1i6nb529Q8/UdfXV2X/1VnfWe56W8ctC3JEmSJA0OQ6mRYm1zRyix5Z3wPeFd/Z56ULSUMWEDT4fqOJjqJUuSVRzQMX9q62PFSkLE0gPncM3Bl9Lyz6fjXfJKbya19DZ6hFK9ZkZtS6oEGj6Q6Gf3vXsNW7rrJ4zsbydD5Y+DviVJkiRpcBhKjRTjq+Lgp5t+h4EF2H9MxDv2f5lLl/YKnKIIiKhmEfuzgiRZMv2EVt1lKeHuV6ez6m+QTMwgm5tBw77voaHiOFjTSH24gBYOpnLPTdRNm0dqB76kVAnMPXoUHD0DmLEDjywi/YSRfarSlFf97bzooG9JkiRJ2nGGUsNM5wDh5pczrFrxPPtHKzhozywhqmF56dVUti+hLppPijSnRL/m4XB8rysETqmdQt2MKTR0DmOmnWyUZC/WcF7ucs6NrqI+zCMbBg6kSjrebO8/Bl7aEB/rmp+zJsH1b3yAOze/QtOGCpIhIrsxQcPtoaiGPedFP2HkjlalaXB17rzooG9JkiRJ2jXuvjeMpDMw+xc5lqzpOBB1zm2K5z2V0E6WZI/d896TXMgT1BICRCSYti/c/oH4DXLXDlnPPELli/XURfOBeMe9pWEqd4fTWRkOpCQRyOYCe5XBuTUwqgSWr4/fbDevhV8s6Tk/pyQBM/aHh1f0rNYKwMUnOAB5UG3HToaSJEmSJA01d9/bzdUv2kzTmhLo3JUudP0PABlGAZ27513A3PA97sidQP3YS2g55N+oHJ/gzGn9VHAcMQ1+/ifSqwOzkwtoYjrJkCVLCRPGwMlVgarx/Vd7XPNo//NzouCw57zYjp0MJUmSJEkaiQylhpGW5iUko2oyYdRWz0uSZemYE7hm/PG0hMlUVlXzpdr4Wzn7lp6zbhqehIb3l5H64F+pv+tBmpbWEpHomiW1cgNUjR+4ummg+TmnHAyPLO95rsOeh8g2djKUJEmSJGkkMpQaRibm/kmG6ds8L0uSOza9lfUvjSERArkV0PA0vOvQODyK6Db/aXVcOTX3yDKW7jkzbvPr1nPXvbqpq92v15yc7vNzDtgzfvyyV+N5Uys3OOxZkiRJkiTtOEOpYSKdgTtfPRbolRr1M1MqSZb1uTEQArmOU5eshrLSgVvq0hm4uzlHLgp0bwnsrG5KZwaqsurYJe/IvudkOgahv7UKJo+n/9bBwf4Ja2+zla0ABgosJUnSyOW/75KkQvOfnWGivhGe2FgBYUtgRJTjqOivvDX6FQFYFibzEMfzdDi853lAIkCI+p//VFkez6tauaGE7oEUROw/JqKuJkF949aqrLassfc5qzbEgVRdzdZDrUHR39DvphvjmUsGU0NmW4GlJEkaefz3XZI0HCQKvYCi194Gj1xBy5IHSIaeiVIJGQ7nMS6Ivs2c6CoeC8fwdKju9zK5CE6pgmkVcexUkohvO1vqWpqXUBJlejwmEWU5eWwjqZL4v5Ale/009B5cvrVzegdWEVtCrUHTOD8OpKIc5Nrj29WL4+MaMnn53kqSpLzy33dJ0nDgfwcpoHRbG/X1P6Bl/WiW8wrZnp11ZEMJlWMjWAv1YR5N1ELoL0eMmDBqPXOqS5hTW9ZvGXZl7lmy1PR6VKCKZqCWyvL+qqxyVK68Ax75J9TMo7K8bMBKrM7Aakh341vb3FEh1e1JQjI+riGTl++tJEnKK/99lyQNB4ZSBbI2DW+7PsPKTZ8hEXLkCKRIsylKkQxZspRSXZGg7r1z4affpGVjFUmyXbvmAV2zpybwIn9om07q1tfAWQuZe2SvVrb2NurWfpEGqmiKakmSJUuSahZTN/kFoPcuexHZXER1tIi65XPgxQ3QdCN1Zy6k4cmyPjvx1dXE/1VtoMBq0Iyvilv2uouy8XENmf4DS3dalCRpJPPfd0nScGAoVQDpDLy9HlZu3jMeVt7RRZmOUrw1+jUHRMuo3GcP6t77IVJlZfCRRip/8r9k25O9rhTx1uhOvpf7ICnSsHpt3Mp21Gd6ntY4n9SGZho4nvowj5ZQRWXUTN0evyY143Gg1y57zy6i8sUbqcv9ML4uwOrFpJrm0/D+z/RbidUz1Bqi3fhq5sUzpLrPlKqojY9ryOTleytJkvLKf98lScOBoVS+tbdR/9u/8NKGk+g5dBwSRBzAMi7JfQpWA7d+Px7iXbY3dR/9PA03raFpQwXJEJGNAtUs2hJIwcCtbGubIVFCKpdmbnRlx4Z+CTjkvC0DwtvbSDXOZ+7aZsgtAh4E2rdco+PanTvx9dYj1BqqHVxKy+LXw9338iov31tJkpRX/vsuSRoO/Gcnn9rb4OdvouVf/x+JcCK50PPlz5FgOZP4SuJ/40qm1T8i1VH5lCoro2FOt3lRrfdT9+xpWwIp6L+Vrb0NWpfGg8G7i3IwbvKWc7rvapfLECdX3c/fdpvcQIHVoCot61sJpiGXl++tJEnKK/99lyQVmqFUPjXOh9WNVIZmotCzSoooooR27gnvimc+hSQNfISGl28k1XFKj18c2t8AN792661snWHTqscGWFDUbV0du9p1HyJOgESJbXL9SGf8L4uSJEmSJO0K30bn09pmIFAXzaeBOpqiWgIROZKMZR2vUg4h0TXMvCmqob5tFnP7u9b2tLJ1hk39CSXw6gtb1tVnV7sSmPhG2K9259rk2tt22za7dAZm39JzBkPDk3EJvMGUJEmSJEnbx7fQeZLOQP2GM2hJvJbK6Dl+lj2FW8McWkIVB0TLmJ+4iN4zppIhR8uexw980W21snULm9Kkeg4550ekOtvx+tvVjhxMnb1zrXK92wGjLDTdSPrMhdQ/UTbiq4vqG+NAKmLLNspNq+PjlsBLkiRJkrR9RmAkMEJ0qxRKjz2U2c9cSNOaE0kmjiMbJWigjobs8aSiNNeET/MK+0Kvlr4sJVSODwM8wXboCJvSpJidXEATtVtaA0vOo2HawXFrYO9d7XJZGDMRXn4aHrlix6uc+mkHTK9+itk3tdK0oWzEVxe1tMYVUpluhWXJRHxckiRJkiRtn0ShF7Bb6qwUeuAi0o038PGFk1myJhARyFBKFJI0hRnUj/osAC2hiiSZPpfZqyzs2ra8NfOgYjr1iQtoopYoJMmEUfHzZ19H/RMdQVNnK+CJl8Ph/x/sORHWL4d/XAsPXBR/Le1t2/+8nRVa3dSHC2jaUNFVXRSxpbpopKksj0O17rK5+LgkSZIkSdo+hlJDoXE+rFpMOhrFe8MD3BtO77OZXZIsLZmJQKAyaiZHss9lzpuxi1VEHWFTy4EfJhl6LiBJlpZnH9sSNnW2Au49FTasAKJ4x74oF1c9Nc4f8GnSGbjmUfjK/fFteuyhfdoBWzi47xpGaHVRXQ1Mq4ibLUsS8W11BbsWIEqSJEmSVGRGWOPUCPHy00BEfZjHE0zv05YHkI2SVEbPAdGWwefMIJkIZHOB6go4d8YgrKW0jMopM8iu6P38gcoXb4Sb74+rpDrb8/odep7sGNLeV79Dv/e9kIZ9f05qzUNdM6Uq99xEdmPPDHSoq4uGaoe8VEncdujue5IkSZIk7TzfRg+FjkqjllBFnxIpACL2Yg1nRtdzTfg0LaGKWdEvedeEZayY8J5BDznqauL5TU2rcySjDFmSVLOIutwPYfXmuAqqc6B5f0PPo2x8vB/9Dv1ek6D+uAeYG77ftfte3bR5NNweeoRXQ1ldNNQ75KVKHGoudRqqAFiSJEnS7s23DUNh9F4ATIyWEYX+OiQjKqPneHvycVYyMR4+TpJpr66m4cz+38ztypu+zsqe6269k3te2pcQRZwS/Tq+s3cVVO+h51EWKmrj4/0YcOj3+lEwc8vOfSm2UV3UbTA846t2fLh6L+6QJ+XHUAfAkiRJknZfvmUYbG0vw1M3A/GsoT6iCEKgMbw+niMVApmOeVJNG/frNzQZrDd9v17/JprYl2TI8nA4ljv5AA25N5PqXgXVOfR8OwOiHRn6PWB1Uedg+O5BWNONPdsKd5A75I0sVtqMXAbAkiRJknaWb/sGU3sb6RuOoT43j5ZEFU3UUkI7GUb1OjGQC31f+iQ5Wlq3VFZ1vlH//bOwZHV8bGff9NU3QtOG/Yi6h2BRLfVjL2Fu7yqozqHn22FLa+AutOU1zo8DqSi3ZZZV53D17VxHb+6QN3JYaTOyGQBLkiRJ2lm+5RtEax/+CW9L/4mViQNJkCNHgj71Uv0MPe+UJdEVmnR/o97fQ3b0TV/8xjH0feN4yL9B6c7/GAzK0O8dHK6+PQYlLFNeWGkzshkAS5IkSdpZhlKDJJ2Btz/6IVYyHkLoCKSI2/WijmHn/aVLUUSCLFEIVO8bukKT7m/Uo35mpe/om75+3zhGSSrHb/81BrLLQ793cLj69q7JHfJGBittRjYDYEmSJEk7y7fog6R+0WZeyozfaiVUH1HEHqxndlTP5IOnUnf6yXFo0t5Gy7NPkuQIMr2+RZ1X39E3fcP6jeMODlffXu6QNzJYaTOyGQBLkiRJ2lm+bRgkLc1LCNF0ov5CqQGDqog3Rn/iy/vcSOq0e+PvRsfQ78o1M8mGb/fo/gvAUQfAOw7Z8Td9w/qN4w4OV9fuZVgHptouBsCSJEnSMDLIu9sPpRBF/TWH7V5aW1sZN24c69ato7x8kMsv2tvgsau45qEN/Ffmq9uulOrxckeEANP2hYYPJOKA6JEr4IGLSEejmJ1cQBO1JMmSDSVUVyS4bZgNf3bXNA0Gf44kSZIkaRD0t7t9xfRd2t2+01BkK77t2xXtbfCzN8KaRupI8ePkx3gpOnD7WvhCAAIR0LSm21DnjqHfqShNQ/Z46sM8WhJTqJwwkbozZg+rN+rumqbBYqWNJEmSJA2CIdjdfiglCr2AEe2xq2BNIwAp0vwq+3oSZPufTN5NoOdQ7x5DnbsN/U6Rpi6aT2X0HC1hMvWNcRA0XPTeNS1iy65pRaO9La5uu/eT8W17W6FXJEmSJEkqVp2723e3i7vbDyXrWXbFs7/q8elvwlnkCD0rpaKox+eBLBE9f0B6DHXuNvQ7HcYwO9xPU6gluTKQXTG8KpGKfte0/soim24clLJISZIkSZJ22BDsbj+UrJTaFRtXkCbFD8N/cEbi/7g68R8dDXkDiwhM4EVClKUk2kwg13Ooc+fQ7xMvp/6A62kKtUQkyOTCsKtEKvpd07qXReba49vOskhJkiRJkvKtZl48QyokIFEa3w7C7vZDZRjU24xc6bJK3rP+Vp5gxtZPjHKUkCFLkmoWcVP2FG4N59KyxzFUHj2butpRPSufSsvgqM/Q8iokV/WsRAoBftkU/7nQw6CLfte0zrLIqPs3aPiWRUqSJEmSdnMjbHd7Q6mdlM7Ahdkf8QSH9h1sHkUE4qDiMBqZlfs5K8IkKqNm6qL5pEqTzH3j/jDj3VA6asDn6K8SKRfB0y/DpX8ufCtfqiR+/pG0a9qg7vI2wsoiJUmSJElFoKPQZSQIUbSNqdy7gcHetrBz17klqztfur6hFMB+vMhHcj9gdZi4JZBKZGHuUhh74HY/T9PqOPfK9fpOBeDiE3aPXcsGNSzaynP03i1wWsUuBHv9brVZC2ctGLYptCRJkiRJO2OwsxWwUmqnXPdYZyAV+j+ho3JqVXQg30lcSpIM2ZCkgToasieQeuImOOZz23ye7pVIv2yKK6S6B1O7y1Dx/sKioagC671bIGyZ0bWjwV46A/WPl9Fy4ENUjltAXdmdpPaeNKzLIiVJkiRJGk4MpXZQOgM/eqyfOzoLznq18kUhQYa4Ra8pmsHZiT/wjgf/QN0RbaTKth1epEq2BCaX/rnnfbvLUPHBDIu2ZrB2C+wZopWQzc2koWImDW8Z3q2LkiRJkiQNJ+6+t4PqG+GVNuhTJRVC39lSvbv6CDwSjuXS7NeYfVMr6cz2P29dTdxqFoCSRHy7uwwV7wyLuhuKKrDB2i2wd4g23HZFlCRJkiRpJLCuYwctfTlDRJIBW/c6hpxHhPic7qeF0PFYaNpQEVcCHdFG+rEfU7/0IFrCZCqrqvvuxkf/Q8XPnDayhowPZLDCom0ZrN0CB6viSsNLPuaaSZIkSZK28C3XjnjlWVb+owl414CZFMCM6G+8Jfot9YmPszI6kEAUh1TdKqmSIaJlbYb0z09i9svfp4npJMmSXVFCw1M5Gj6Q6DeY6mxny9ccpnwYrLBoWwZrt8B8hWjKn93p75MkSZIkjRS+3dper74IPzmU/RLfh7CVIefAm6M/8vvEGaxkIgmy5Dqqo7rLRgkqX/gJ9WveSFNiOlFIkumsolqTo37RZuaG78PaZhhf1WeAdr7mMOXDYIVF2/tcu/r65CtEU/7sTn+fJEmSJGmkMJTaXredCkBV9MxWq6QAbkucwwu8BkKSroKaKCJEOZIhQ5ZSqpNPUrf6Qr6R+BZJsl2BFECSHC0PN8DGiyAkIcpC041w1sKuYGp3ayEbjLAoX/IZoik/dre/T5IkSZI0Evg2enttWE6aFBlK4+qnqJ/B5h1eYW8SZMn2CJramRE9SPXeGSrHB+qePY0UaSqjZrKhZyVVlgSVbQ9BlIs/AFYvhsb5cNRnAFvICm0khWjaNv8+SZIkSVL+ufvedkqHcmYnF/DficuItvGyrWccWUp7HMuR5B3cziXVi5g75jZSoR2Aumg+01hEiLKURJsJ5KhOvUAd1/S8aEjGrXwddufd+KR88++TJEmSJOWflVLbqX78N2haVUsU+s6HAiCK4sqpzuqpKIIoRwkZsiSpZjF1+/wNar4eVzxFWQBSpGnIHk99mEdLqKJyj03UHZEg9dcNva6fjWdLdbCFTBo8/n2SJEmSpPzzLdd2ail5XZ/ZT1sTyHFQWMabxyyhas+N1FWtIDXj3ngmVM28eEbUqkVARIo0c6Mr4ynL6xOQ/AZUTI9b9jpnSlXUxo/rxhYyafD490mSJEmS8stQajtVVlWTXbH9L1cUEizjNSza42C+cmaviovSsnho+a1vg+V/AboNswlJePWF+P7G+QPuvlco6YzVJJIkSZIkadcVfKbUM888w7HHHsvUqVN5/etfz5IlS/qck8vl+OxnP8u0adOoqanhLW95C88++2xe13nma7OUsTFuy+suiiCKSLGREOWIy50gnkoTuraV76O0DKbO7ruTX2ebXmlZPNT85Kvi22ESSM2+BS79M9z0eHw7+5b4uCRJkiRJ0o4oeCh1/vnnc9555/H000/z+c9/njlz5vQ5584772ThwoUsXryYxsZGTj75ZL70pS/lbY3ptjbO+ukKNkZ79HNvxFujX/Fg9iCOihYS6BlahQBL1w5w4Zp5cZteSECiNL7tp01vuKhvhKbVceyWycW3A4ZukiRJkiRJW1HQUGrVqlU8/PDD1NXVAXDGGWewbNmyPlVQIQQ2bdpEOp0miiJaW1s56KCD8rPI9jauu/FHPNE+OQ6Neg0yP5zHuDx3LreGOXRWR3WXiyLufupV0m1tfa/d2cZ34uVQc358e9aCHlVR6Qxc8yh85f74drurktrb4JEr4N5Pxrft/Tz/DmpphWSvn5hkIj4uSZIkSZK0Iwo6DWjZsmVMnDiRkpJ4GSEEKisraWlpYcqUKV3nvetd7+JPf/oTEyZMYOzYsRx44IE88MADA15306ZNbNq0qevz1tZdSE0a53PPhqP7ttl1+H72TD6UvIcmakmQ7aiTitjygMDKTXtQX38lc+d8vG8bXmebXj862+WaVsfhTzYHDU/Gu4RtdY5TexvcfFzPQelNN8YB2C60AVaWx2voLpuLj0uSJEmSJO2IgrfvbY+HH36Yf/zjH7z44ossX76ck08+mXnzBm5xu+yyyxg3blzXx6RJk3b+yV9+uv88KsRVUR9L3EkTtUQhSTaMor/0qoQsLetHx4PLd8BOt8s1zo8DqSgHufb4dvXiHX7+3upqYFpF/BWWJOLb6or4uCRJkiRJ0o4oaKXUpEmTWLFiBZlMhpKSEqIooqWlhcrKyh7n/fSnP+Wkk05i/PjxAJxzzjm87W1vG/C6X/ziF/nsZz/b9Xlra+vOBVPtbdD8a06JxvL3cHy/p6wKE0mSJUNywMtkSVLJ87B204Dn9KezXS7TrTppu9rl1jZ3VEj12tVvbfMOPX9vqZK4Ssvd9yRJkiRJ0q4qaKXUfvvtx5FHHkl9fT0At912GwcddFCP1j2Aqqoq7rvvPjZv3gzAb37zGw4//PABrzt69GjKy8t7fOyUxvmwfjlzoqvYk3V9d94D9otWkO0dSEVAlKMk2kyIslSziLrcD2D1oh2a77TT7XLjq+KWvR5r6tjVbxelSmDukXDJzPh2lwOpIZh9JUmSJEmShr8QRf0kLXn01FNPMWfOHP71r39RXl7OddddxxFHHMHcuXOZNWsWs2bNYtOmTVx44YUsWLCA0tJSJkyYwPz586mq2r6QpbW1lXHjxrFu3bodC6ju/SQ0Xg25dl5iAsclnyfDqK67U2zkgewUPpr8DU3UkiRLliSH0cis3M9ZESqp5Hnqct8nRTreYS/Kxjvubcd8p/5mSlVXwG07M1OqorbPEPWC63ed2/faSJIkSZKk/NnpbGUrCh5K5cNOv3CPXAEPXNTVBreW8VyUuI5lYTKToqVcnjuX8awlTRn1YR4tYTKVUTN10XxSIQMT3xhfZ/lCoNfLfMi74bSfb1cwtVPtcu1tcaXX2ua4Qqpm3vALenq9vkC8w+GJlw84/F35tdM/f5IkSZKk3cpQhFK+vdyamnnxrnWrFwMJxkfruCZZB+0b6QyZ0qSoD/NoDoeyiolkQwn1zKOOH5E65HR47jfEI8F7nt+ytIrK639AXd3HSZUNHBZ1tsvtsIF29RtOYdUQzb7S4Njp3R8lSZIkSdoOvrXcmtIy0mcupP7uB2lZG1FJM3UVj5BquRPWryCdGMPscD9LQm18fhSHTyFENJScR8MTc0it+TvdA6nZyQVbWv02JGm4aQ0Nc8ry8ya/v3a5phsL1y43hLOvtOt67/4IW3Z/3KmgVJIkSZKkbgo66Hy4S2dg9u1lXLr0RG565XgufXkOs5/6GOn1L8OeE6mfeC1NoZb4ZUxACBASRCFJU/a11L98HN3b9urDPJqoJQpJMmFUfN6GCuob8/QFNc6PA6koB7n2+Hb14vh4IdTMi2dIhUQ8bysk4tlXNfMKsx710Ln7Y3fbtfujJEmSJEnbwUqprahftJmm1SVEJMhQCgGaohrqw/nM3fC/tOw1hWQi0VVF0l2SHEvDa7kmfJqWUEVl1MzSMJUkWTLddutLhih/b/K3s10ub3OESsviKq3h0k6oHgba/fGAPeGaR50zJUmSJEnaNb6VHEh7Gy0P/4pkNJtM2LLjXgB+H2ZTx7VURkvJ5mb0+/AsSe7mNFYl5sateiHJfiwn2y2QAshGCSoHZz7Ytm1Hu1ze5wgNNPtKBVdXE3/vu/8sHLYv3PEUPLnGOVOSJEmSpF1j+95AGudTufGhPiFSjgR/D8cxO9zPmZUrmFbR96EB2H9MxMpwQI9WvZXhQPYftYFAjpKQJRBRXRGoq8nPl7Q97XK95whFbJkjpOKSKonDpotPgLOPiG9nTY0DKX8+JEmSJEm7ytqGgaxpoi6qp4GzaYpmEBE6ZkYFINBELbeWHk7D++M35M1rYdUG2H8MTB4PzWsT/GJJ1KO1ryQROPl15VSNL1Dr03a0y3XOEeq+bucIFa/euz9+5X5/PiRJkiRJg8NQqj/tbfD0L0mRpiF7PGcn/sgj4Vii7rOgyPL75iQt6+Nw6Stvjt/Ar03DRXfD4pcgkws9LpvNBarGF3jnsm20yw00RyhvLYYa1vz5kCRJkiQNFkOp/jTOh83ruj7di38R9ep0zEQl/H1FxKMvQS6K5+r8ZBaceD2ke41tShC3OVVXkL9WvZ3U3xyhkbBu5Yc/H5IkSZKkwWIo1Z+1zRASpKNRzE4uYAm1QBQnSz0kyHYca1oNH769byAFcEA5nDt9ZOxS1jlHKC+772nE8edDkiRJkjRYfCvZn/FVEEXUh3k0UQuh27DzKOqYK9VTMgGrNvZ/uT1LYe4RbbB44FlOw0nvOULajbS3bXWm2Pbw56NIDcLPjiRJkiR1ZyjVn5p50HQjLWsOIUmWTK8d+PqTzcF+e8QzpXqbNDYDNx8HqxfHAVeUhaYb46HjvqlTvrS3+XOonePPjiRJkqQhkNj2KcUnHcr44dS/cV9ZHZlQul2Pqa6AG98LqV75VSoJl+93dfxmLspBrj2+Xb04rjqQ8qVxvj+H2jn+7EiSJEkaAlZK9ZLOwHt+AU+sGQWM6jgabbnp0boXsUdp4FOvh3NnxG1ND86Nd99btg4mjYPL3wrjFz7ZUV3QbduykIzbYKR8Wdvsz6F2jj87kiRJkoaAoVQv9Y3wxJreRwMQxTe9js+aChe8fsuR8Sm45l29ThtfFbe7dJfLwOpF8MgVzmZRfvT3cxhl4+PDUDrjQPVhY4T97EiSJEkaGXyL10tLa1cE1Uvf4eYA/2rr+Xm/b6Q7ZlSxejGQgCgTP8OKB2H5X5zNovzo/nPYOReoojY+PsykMzD7lnhXy2QintnW8GS885/BVAGMoJ8dSZIkSSOHb+96qSzvL5Aa2P5jtvx54DfSZaTOWhjPX3m6AZYvBKJ4Ngtsmc1y1Gd2bLHuhqUdUVoWh58j4GemvjH+exQBmY6OsabV8XF3/iuAEfSzI0mSJGnkMJTqpa4Gbn0CnljTPZrqv0oqAE/+C655NH7c1t9Il8Wh09pmeOnBLYEUbHU2y4AtTO6GpZ1RWrbj4WcBtLTGwW6m2wijZCI+rgIZIT87kiRJkkYOQ6leUiVwx+w2fvTTa7lm41msC/sMlEkRAY+tgEeWxxVRMyYM/Ea6K1z610eppJQ6fkiKdMeF+p/NstUWpm67YaWjUdSHT9Cy5hAq73qQunfOtMVJI1plefzz3l02Fx+XJEmSJO0ejC56SWfgR799iB+2ncPGsGd8MOqomuq18x4Esh13Na3OcUC2mWzuELqnWNkcHLBn93CplmxiOg2hjoZoJqlow4CzWbZaedWxG1Y6GsXs5AKaqCVJluzSEhpucfaORra6mjiA7R7IVlfExyVJkiRJuwdji27SGXjPzTme+Neb4wPdQ6io16SpOJPqkowy7LfmbqaVttOUfR3JROh6Ix1F3cOlAASaQi31E69n7pR/kp42j/rHy/q06G21haljN6z68AmaqCUKSTIkAWfvaORLlcTBqrvvSZIkSdLuy7d43dQ3whP/Agj9t+z1Dqa6yVDCpGgpX9l8EfVTfktL+cyuN9LfWNBfuJSgZf/ZpKcP3KK31RamI+LdsFrWHEKSbFcgFV/b2Tsa+VIlBquSJEmStDtLFHoBw0lL64Djo+Kqqd4fUbTlg8CdiQ9CSDJ3zG1cMjN+Q50q2Xq41LtFL2JLpVNdDUyriNdUkohvu1qYOnbDqjzkcLKhpN9rS5IkSZIkDVeGUt1U7rmZgWuhBtAtpHqCGuqZ22do+dbCpc4Wve46K506W5guPgHOPiK+va37rKjSMureOZNpFYn+gytJkiRJkqRhyva9bupy87k1OoEnqI0PhAHrpvqVJEtL6RHw8kPwyBXx8PLSsq3Ox9nWLmPbamFy9o4kSZIkSRqJjC66W/c874lWsCbsz2om0LOZL6KzjKqEdjKU0LvZLxuSVG5+HP5xLURZaLoRzlrYFUz1Fy4Nxi5jzt6RJEmSJEkjjaFUh3QGZj//OZpCBaH31nodTixZwLGbf8PyMImJUQt3Jut4giM6dtrLUR0tpi76IUTt8QNWL4bG+XDUZwZ8XiudJEmSJElSMTL66FDfCE0b9yMKiQHnSh171JHMW/kdWHcXjKvi3JMPov6ZEIdJK++gbvkcUqS3PCAkYW3zNp97oEqndMawSpIkSZIk7Z6MODo0r4VANGAgVRJyLF/8a9j46zhs+tcSUq+ewtyO9jwe+Se8uKHng6Jsn6Hn2yudgdm39Gzra3gyrqrqE0y1t8UVWWub4+frmGUlSZIkSZI0XLn7HnEAdG8z5LbycmSjQGXbQxDlINce33a250EcBFVMh5CARGl8W1EbH98J9Y1xIBUBmVx827Q6Pt5DexvcfBw8cBE0Xh3f3nxcfFySJEmSJGmYslKKOOhZuQH6myNFFNdOVZc+w5mb67kmfJqWUEVl1Ewd15B6umFLhdKZ90DTDYNSsdTSGldIZbrtzJdMxMd7aJwfh2NRLv6A7ZplJUmSJEmSVEiGUvQfAG0R8dbkH7m8ZgkfeuT3NIXpJMmSDUkaqKNh+QmkXnqwz257u6qyPG7Z6y6bi4/3sLY5bieMup28nbOsJEmSJEmSCsX2PaBiD8jkek+TiiDKcTiL+N7m2dz6RERTqCUKSTJhFFFI0kQt9eH8Le18qxbBrW+DR67Y5fa5uhqYVhHXbpUk4tvqivh4D+Or4kCsx9J3fpaVJEmSJElSPlgpBTz6YgZI9jwYwZSoidtyx5EiTcuGFMlkRKZbdpUkS0uoYst09AiW/wVW/GWXq6ZSJfFQ823uvlczL36u1Ys7KqayuzTLSho2HOAvSZIkSbs1Qylg+ZpXINq3z0ipkpAlRRqAyug5sr2KqbIkqYx6t8l1TCUfhLlOqRKYe+Q2Tioti8Mv37xrd9I5wL972DqI7bGSJEmSpMKzfQ+YlFzR//Foadef66L5TIsWE8iRDAAReyXWkQmjSIc9+j44n3OdSsvi8Ovkq+Jb37RrpOs+wL+/3S4lSZIkSSOeoRRw+WF/JsXGeKe9jo8EWS7ObalySpGmIZrJ5/e/k3EpCARaw178d+IyZo9+lDS9giDnOkk7r3OAf3cO8N917W3xzLt7Pzkos+8kSZIkaVcYSgHjaz/IH8KbSLBlYHiOJCcnn+QlJnQdS0UbKN1jPK+0xR16mVwgIkFTZir15f8FIQGJUggJ0vu+gWuiT/CV++GaRyGdyf/XJY1YDvAffJ0tkQ9cBI1Xx7c3H2cwJUmSJKlgnCnV3ga3nsKluUvIhSSELYOlMtEoTkk+wcO5g0jRBhW1tOx5PMkEZHJbLpFMBFoO+TcYl4C1zaTHHsrsZy6kaWGCZAKyOWh4Mh5c3mdQ+SBJZ7ZjKPowMtLWqzxzgP/g694SGXX8H9ggzL6TJEmSpJ1lDPDYVbBqEcuSk/veFwKvRuOoH/MV5h5dCjXzqHy8hGyu52nZHFSOL4Ej4zd29Y9C05rOaqr4nKbVcQizzcHlOyGdgdm3xM+RrxBsV4y09aoAHOA/+DpbIqNu/wdmS6QkSZKkAiru9r32Nvj7t4CIA6J/DnBSRMteb+2qJKjL/C/TUssI5ChJRASguiKu9OnU0hqHLd0lE/HxoVDfGAc8nSFYxJYQbDgaaetVgTjAf3DZEilJkiRpmCnuUOqxqyD9LwCOjP7W/zkBKququ+axpBZ8hoaN1Vycu4izS3/Bxcdt5rZeFT6V5fRfTVU+NF9GvkOwXTXS1ivtFmrmQcX0HrPvbImUJEmSVEjF3SzV/GsA0qR4ILyDQI6Ibjt+RRHJkOXMw0dB4xVd81hS0avM5QrYmIBwOZT0nMdSVxO3o3VvT+tdTTWY8h2C7aqRtl5pt2BLpCRJkqRhprhDqSgOpGYnF7CEGUDoeX8IZKMkt97xS+bSsN3zWFIl8XykfA3yzncItqtG2nql3UZnS6QkSZIkDQPFHUodcjr1K46midq4laUfSTK0rFgJuYXE04+62co8llTJ0A017y/symcItqtG2nolSZIkSdLgK+4YYManaH7k14RNUe+4qUuOJJXRc/QIpBKlBdmiflu71g1FCDZURtp6JUmSJEnS4CrqQefpUMa9pWeSC8med0QRiShDiLJUs4i6aP6W+0rHwLRzoOpdMOGYeD5Le1te1uuudZIkSZIkaXdR1JVS9Y2wckOvXC6KGMtaZkU/pyp6hrpoPinSW+5v3wDP3wUbVnTMmMpC043xAOEhHhjcuWtdpttYK3etkyRJkiRJI1FRh1L9hTwJsrw7upmv5z7R/4NCAta/GP+5c+j56sVxxdQQDxB21zpJkiRJkrS7KOr2vf5CnojA5OjpgR8U5eIKqe4G2IVvsNXVwLSKeI/AkkR86651kiRJkiRpJCrqSqm6w9poeGQdTRv3I0mGbJTsO0OqU+fufGMmwvoVPe/byi5822OgHfV629auddt7HUmSJEmSpEIr3siivY3UL99EQ+tT1Id5tIQqKqPmvjOkOu2xP7z+P+Ih57eeErfsdc6U2oVd+La1o15vA+1at6PXkSRJkiRJKqTijSsa58PqRlJEzI2ujLey25pxh2yZGXXWwvjxa5vjCqmaeTs95Lz3jnqwZUe9/sKnob6OJEmSJElSPhTvTKm1zcRTmbbTIacPyTI6h613tzM76g3WdSRJkiRJkvKheCulxleRZjT14XxaQhUTo2UEYHmY1LeNb98amPGp+M/tbXDzcT3b95bcAK/7ELy6bIcrpwZrRz135pMkSZIkSSNJiKJoW41rI15rayvjxo1j3bp1lJfHKU26rY3Z1z5PU2YqCbJkKQWgJLSTpYRpJc/QsNfHSU15WxxIdYZMj1wBD1wU78LXQ4BESceMqelxi992BFP9zYKqroDbdnAW1GBdR5IkSZIkqbf+spVdVbRxRf0TZTRlX0cUAlmSXcczjAKgKXMo9VPvYu7Ro3o+cG1zR4VU71Aqglx7/MfVi+OZU50zqLZiWzvqba/Buo4kSZIkSVI+FG1kEc9gCl1DwXtLRhlampfA0TN63jG+Kq6G2pqQ7JhZtX0G2lFvRw3WdSRJkiRJkoZa0Q46728GU3dZklS+uiCeIdVdzby4PS8kIFFKv8PSo2wcXkmSJEmSJKlfRRtK1dXAtH0yBLIko80QRRBFlESbCVGWahZRt/bz8VDz7sFUaVk8L+rEy6HmfDjhsp4hVUhARW0cXkmSJEmSJKlfRdu+l4raaHj1cOqzs7a++15/86FKy3p+PuNT8Tlrm3d49z1JkiRJkqRiVLShFI9dRWpjM3XMp555tIQqKqNmvpT7XBxGddqe+VC9QypJkiRJkiRtVfGGUs/+ipeYwMnJJtYznkCOKEADdTRkj98STA31fKj2NqusJEmSJElS0SnaUGrt+g0cl/wnGUohBCKSACyJaqkPFzA3fC8OpIZyPlR7WzyzavXiuCIrykLTjfHMKoMpSZIkSZK0GyvaUOqi7JVdgVR3IQRaDvow7NM+9JVLjfPjQCrKxR/Q/wwrSZIkSZKk3UxxhlLtbTy/eUK/d0UEKqfMgCOvGvp1rG3uqJDKbTm2PTOsCsE2Q0mSJEmSNIiKMpRKP/ZjWqKP9b0jihgdNnPmoTmuebSMllaoLIe6GkgNxSs1vipu2euxhiGeYbUzbDOUJEmSJEmDLFHoBRRC/dKD2ESqT+sewDtyP+NDNzzPpX+OuOlxuPTPMPsWSGeGYCE186BiOoQEJErj26GcYbWzurcZ5trj2842Q0mSJEmSpJ1QlJVSLWEyCbLk+nz5ERvYi6bMVKIQyHR01TWthvpGmHvkIC+ktCyuNhrubXEjqc1QkiRJkiSNCEUZSlVWVROt6FUkFkVM4EX2ZwVJsmQ6duMDSCagpXWIFlNaNvyHmo+UNkNJkiRJkjRiFGX7Xl3tKKbtC4EciSjTEUi9wB+yNUyOnibbLZACyOYiKvfcDI9cAfd+Mr5tbyvQ6gtgB9sM0xm45lH4yv3x7ZC0PkqSJEmSpBEtRFEUFXoRQ621tZVx48axbt06ysvLgTgoqV+0mZaHb6Ny40PURfNJkWYt43lb8nFWciCBiAiYNmY1t49+D6k1D20Z9F0xvbgGfW/n7nvpTDyDq2l1XGGWzcG0Cmh4/xANi5ckSZIkSUOuv2xlVxkT7DUVSl6CV0eRzsEHk/exkgMBiIgHoWfTrfBqYzxTqXOuUueg7+HeejdYtrPNsL4xDqQiGPqZXJIkSZIkacQqylAqnYHZv8jRtKaEZHQEWWppCG9mVvgFTzC9z658T+UOoT5cwNzoO1sOOui7Xy2tcYVUpttM9CGdySVJkiRJkkakogyl6hdtpmlNCREJMmEUAE1RLXuEjV0te90FoIWDex500He/Ksvjlr3usrn4uCRJkiRJUqfiG3Te3kbz339FiHomJ0myRGxp2esuIlC556btHvRdzOpq4hlSAShJxLfVFfFxSZIkSZKkTkVXKZV+7Mfcs2k2uV477GUo5bjobjaGPWmKatmSTQWm7Ruom/1xaEpsc9B3sUuVxEPN6xvjlr3K8jiQcsi5JEmSJEnqruiigvqlB7GKA/rMjQK4OXEef8wewc3hY9wT3kU0bjKnHHEQ586AVMn2DfpWHEA51FySJEmSJG1N0YVSLWFyv3OjCIGV0YHcGuYwL/o288KV8Jrz4fVXFWCVkiRJkiRJu7eiC6Uqq6qJVvStkgJIkKUlVBEPlxp4kHk6Y3uaJEmSJEnSrii6KKWuOsstf32ep7KHxge6tfFFBCp5fssg82nnwCNX9JgjlQ5lzL4FmlZDMhHvLNfwZDxHyWBKkiRJkiRp+xRdjJJe9BOez5675UAUN/IFclSzmLrXtcF+l8eB1K2nwOrFEJJx5VTTjdQf9jeaVo8iAjIdG/g1rY4rp5yjJEmSJEmStH0ShV5Avl30xAlsoiyukOr8AKZET3Jb9jhS+x0aDzRvuiEOpKIc5Nrj29WLaWleQrLXq5ZMxK18kiRJkiRJ2j5FVynVkj2g/+OhKq6IWtscH1jb3FEhldtyUkhSGS0lm5vR47HZXDxbSlKBtbdB4/weLbeUlhV6VZIkST35O4skAUUYSkWj94KNvQ6GwKZoNPWcx9zxk+Jj46vilr0eD85SN/kFGrI9Z0pVV8TDziUVUHsb3Hxcn5ZbzlroL3mSJGn48HcWSepSdO17Mw5IDnBPRMsex8T/lQLi24rp8dDzRGnX8PPUjI/R8H64+AQ4+4j49jaHnEuF1zi/35ZbGucXemWSJElb+DuLJHUpeJTyzDPPcM4557BmzRrGjRvH9ddfT3V1dZ/zHn/8cT75yU+ycuVKAL7+9a8ze/bsHX6+qWPWAuVA6HVPgoks3/JpaVn8Xyv6KatN4VBzadgZoOW2qyVXkiRpOPB3FknqUvBKqfPPP5/zzjuPp59+ms9//vPMmTOnzzkbN27k3e9+N5deeilPPPEE//jHPzjhhBN2/MnaXubMv00lGWW6dt3rLmx8CW59GzxyRVxWm2fpDFzzKHzl/vg2ncn7EqSRa4CWW8ZXFWY9kiRJ/fF3FknqEqKon3QmT1atWsWUKVN4+eWXKSkpIYoiJk6cyIIFC5gyZUrXeddccw333XcfP/vZz3bqeVpbWxk3bhzrbnont7w0lf9KfCdux+smEWX4cPRDLsl9Oi6i2veI+I41j2/p9a6YPmS93ukMzL6l56yqaRXQYGugtH36m89QUQtnLXA+gyRJGj78nUXSCNWVraxbR3n54Oz2VtC4Y9myZUycOJGSkngZIQQqKytpaWnpEUo1NTUxevRoTj/9dF544QVqamr4zne+Q0VFRb/X3bRpE5s2ber6vLW1teMPz9McTuv3MTmSVEbNQA4iYHVjxz3RltLazl7voz6z5YGDtHNGfWMcSEVApuPpmlbHx20VlLbDVlpuJUmShg1/Z5GkLiOiBieTyXDPPffwt7/9jQMOOIAvfelLXHDBBdx66639nn/ZZZfxta99re8d5Qezqu0A+syTiiLGso66qPtwwRCf1r2QrHev9yDunNHSGldIZbq1licT8XFJ26m0rGdoLEmSNBz5O4skAQWeKTVp0iRWrFhBJhMPT4qiiJaWFiorK3ucV1lZyVve8hYOPPBAQgjU1dXxt7/9bcDrfvGLX2TdunVdH8uWLYvvOPn77J9YRVyP1F3EadEtpEj3ONZn7lTvXu9B3Dmjsjxu2esum4uPS5IkSZIk7W4KGkrtt99+HHnkkdTX1wNw2223cdBBB/Vo3QN4//vfz9///veuNrzf/e53TJ8+fcDrjh49mvLy8h4fAJTtzeSj30voFUoF4FkO45rwadJhz3jeVMV0qKiJ/5wo7ThWG5fWdurcOaPHxXZu54y6mniGVABKEvFtdUV8XJIkSZIkaXdT0EHnAE899RRz5szhX//6F+Xl5Vx33XUcccQRzJ07l1mzZjFr1iwAbrzxRr75zW+SSCQ48MAD+dGPfsSkSZO26zm6hnGteYlRvzyO2elf0EQtSbJkKAUgSTs5kkwLS2g45m5SR388fnC3Xu/0tHnUP1FGS2tcwVSX+V9SCz7TcztXgEPeDaf9fIdb+NKZeIZU1/VrHHIuSZIkSZIKbygGnRc8lMqHrhfu/m9Q/vCXSJPi+vBJ6hPzWMbBPXbiC1GWi/e+nrkf/FCPUKnf3fH2zdGQPY7U6oeIWwI7X8oA+9UO2U59kiRJkiRJ+TQUoVRB2/fybt3zpMMeXBc+ydWJi1jGZHoPPU+SpeVfG+MB5u1tXcd7744XAU1rEtRPewAOeRc951RFOz1bSqK9DR65Au79ZHzb7edQkiRJkqTdRVE1h6X3PISzEn9mCbXEu+uFPudkSVIZNW8JlTp2xRhwd7z1o2DspHjuVK59y507OVtKRW4Qd3SUJEmSJGk4K6pKqV8kPkpTqI3b9XoHUlEEUY5qFlEXze8TKm11d7zxVXF40ON6vXbqk7bHIO7oKEmSJEnScFZUodQLryZIkh3w/rdGd3Jb9nhSpPuESlvdHa9mXrxb39Z26pO2xyDu6ChJkiRJ0nBWVO17B234K5no1J5jpDrmvE8L/+B7ubNJJbIQ9Q2VUiXQ8P6Bdscri9uruu3UR808262046y6kyRJkiQViaIKpT4w6tfcSA0ro4O2tO+FQIhyvDtxB6nXvBXGTIS9p/YbKqVKYO6RA1y8tKxr/pS002rmxTOkus+UsupOkiRJkrQbKqpQKrXxed4S3cUvwv9HxJYWqSQZlmf2guZfx214M7/bJ5BKZwaqkpIGUalVd5IkSZKk4lBUsUq6bT1/Cu8k6jVKK0OSyui5nkOlu1U9pTMw+xZoWh3vuJfNQcOTcTufwZQGnVV3kiRJkqQiUFSDzm/a9F5WcmDPnfeiiDG8ypnR9fHn/QyVrm+MA6kIyOTi26bV8XFJkiRJkiTtuKIKpe4P7+j3+AbGcVbyXtKk+h0q3dIaV0h1l0zExyVJkiRJkrTjiiqUisZM7LnzHsRVUyHwBLXUJy7od6h0ZXncstddNhcflyRJkiRJ0o4rqlBq5muSA94XArQc+GE4a0GfodJ1NTCtIs6zShLxbXVFfFySJEmSJEk7rqjGdNdNa+PnjRtYFU3oOVeKeE5U5ZQZUNr3camSeKi5u+9t4W6EkiRJkiRpVxRVjJB68ifcnfkWb0s+zsrowB73TUu9SF3NpIEfWwJzjxzqFY4M7kYoSZIkSZJ2VVG177HueVJs4tzc/3JktJBJLOWo6C98Ifd5bj/ydgOV7eRuhJIkSZIkaVcVVQyTTk3k/ckFPEEtgYiIwJ5hLeeOvpXUjCWFXt6I0bkbYabb8Hd3I5QkSZIkSTuiqEKp+uf24wlmQAhEHceeiGZwXfg4F/zf52DsJCCCV1+A8VXxLny9hp7vjN1t/pK7EUqSJEmSpF01gqORHXf/q9Uwqu/xe9Jv4ILGL0GuPT4QSoAcNN0IZy3cpWBqd5y/VFcTfw3dvyZ3I5QkSZIkSTtihMYiOyfkNvV/HLYEUgBRJr5dvRga58NRn9np5+w9fwm2zF8aqYPT3Y1QkiRJkiTtqqKKEY7L/YFFvLXP8ROju/p/QEjC2uZdes7ddf6SuxFKkiRJkqRdUVS775WEbL/HHw1v4iuJ/+Wa8GnSpLbcEWXj2VK7wPlLkiRJkiRJfRVVpdRKDiRJO9keg6Ui7gunU0I72ZCkgToacjNJsREqauNh57vA+UuSJEmSJEl9FVUoddAem8hFyZ4HQwACmY6gqokZ1B94A3On/HNQdt9z/pIkSZIkSVJfRRWNfOC1ae56chFNUS1JsmQ6v/wQus5JJhK07D8bjhq853X+kiRJkiRJUk9FNVMqtfi7NGSP5/O5L1IbPcgknu9zjvOeJEmSJEmShl5RVUqtzYzi/436KQvDKWyijBLagQBEJEMgFznvSZIkSZIkKR+KKpQ6Kfkk7WH/+JOwZY5UIGLGRHjHIc57kiRJkiRJyoeiil82UUai2/yoTiHA6/Zx7pMkSZIkSVK+7NRMqRdffJEXX3xxsNdSMLkI7n7qVdJtbYVeiiRJkiRJUlHYoVBq4cKFTJ48mcrKSiorK9l///35/Oc/T2tr61CtL08CKzftQX39D6DdYEqSJEmSJGmo7VAodf7553PYYYfx97//naeeeopvf/vb3HPPPRx55JEjvnKqhCwt60dD4/xCL0WSJEmSJGm3t0Oh1HPPPceVV17JkUceyZQpU/jIRz7Cww8/zIwZM/j0pz89REscPPuyHKKo3/uyJKnkeVjbnN9FSZIkSZIkFaEdCqUOO+wwVq1a1eNYCIFLLrmE3//+94O6sKHwq+ybmMCLcTDV9ZGDKEs1i6iLfgjjqwq9TEmSJEmSpN3eDu2+N2fOHD75yU9y5513MmnSpK7j69ato7y8fNAXN9jGs44HsodSH+axNExlJRPZj+VU0Uxd9ENSFa+DmnmFXqYkSZIkSdJub4dCqc4WvUMPPZTZs2dTW1tLNpulvr6eb33rW0OxviGTJMMboweoq2whtdcBMP7SOJAqLSv00iRJkiRJknZ7IYoGGLLUj5UrV7Jo0SIWL17MokWLWLRoEc888wwhBA477DCOOOIIampqqKmp4dRTTx3Kde+Q1tZWxo0bx8pvlPORsj/xBLUEIiICh+2T444PlpAqId55r3F+PFdqfFVXSJXOQH0jtLRCZTnU1RCfL0mSJEmSVAQ6s5XB7JbboVCqP+l0mscff7xHWPWPf/yDtWvXDsoCB0PnC/edr3+K/9njSgih270RXzg2cEFtG9x8HKxeDCEJURYqppM+cyGzby+jaTUkE5DNwbQKaHi/wZQkSZIkSSoOQxFK7XKskkqleP3rX8/rX//6wVjPkLo/vKPf4/c8Dxck5seBVJSLPwBWL6b+7gdpWj2TCMh0HG5aHVdOzT0yL8uWJEmSJEna7ezQ7nsjXRjoeETcsheSve5I0rIukOz1KiUTcSufJEmSJEmSdk5RhVIzo7v6PX5KFfEMqSjb844oS+W4iGyu5+FsLp4tJUmSJEmSpJ1TVKHU2dHVTGMRIcoRohwQsf8eEWcdTjzUvGI6hAQkSuPbilrq3voGplXEVVYlifi2uiIedi5JkiRJkqSds8uDzkeCrmFcl0IuNZ63JRtZyYEkAuRIUN05uDxy9z1JkiRJkqTehuWg85Hm1jCHVRwAIUFnV96WweVlcNRn+jwmVeJQc0mSJEmSpMFUVO17AC2hiiQ9Z0c5uFySJEmSJCm/ii6UqoyaydJzlz0Hl0uSJEmSJOVXUYVSN4QLWBqmsh/LIcpSwmYCkYPLJUmSJEmS8qyoZkp9O/F1SsMYsiSZwApOzt1J1eTXUXf6SQ4ulyRJkiRJyqOiqpSKQpJMGEUUkqzkACqj55n7/OmkfvMeaHu50MuTJEmSJEkqGkUVSnUXEbg6cRHpbATP/Qp+dJDBlCRJkiRJUp4UbShFCLzMvtSHefHnmTb4w0cLuyZJkiRJkqQiUVyhVBT1+DRBhpZQteXAuuY8L0iSJEmSJKk4FVco1UuOUiqiFVsOjKsa+GRJkiRJkiQNmuIKpULoc+jhcFz8h5IyePtP8rwgSZIkSZKk4lRcoVRvAZqSr4dD3g3nvQBlexd6RZIkSZIkSUWhpNALKLTRe+4H77mj0MuQJEmSJEkqKsVVKdVr0DnAB6oLsA5JkiRJkqQiV1Sh1L4sj4OpKIIox9RRL/Kxowq9KkmSJEmSpOJTVKHU3rzc8acICCQSyUIuR5IkSZIkqWgVVSj1NIfHO/CFBITAk20TuP7BtYVeliRJkiRJUtEpqlCqP/UPryPd1lboZUiSJEmSJBWVog+llkWVzP7RM6T/+h1oN5ySJEmSJEnKh+IOpUKAEGiKqqn/64tw83EGU5IkSZIkSXlQVKHUa1m8Zfe9bpJkaQmTYdViaJxfoNVJkiRJkiQVj6IKpX6WfRtvjX7V53iWJJVRMxDBy0/nf2GSJEmSJElFpqhCqRSb+F7ug1TzKCHKUhJtJkRZqllEXTQfiGDDikIvU5IkSZIkabdXUugF5FuKNA3Z46kP82gJVVRGzdRF80mRjk8YM7GwC5QkSZIkSSoCRRdKQRxMzY2uhKj3PQH2nlqAFUmSJEmSJBWXogqlbggXsDpxWK/qqACJEoiyUFELNfMKvUxJkiRJkqTdXlGFUt9OfJ3SMIZsSNJAHQ3jzidV/T549QUYXxUHUqVlhV6mJEmSJEnSbq+oQqkoJMmEUQA0RbVcuPl7HLDxjVTuBXU1kCqqV0OSJEmSJKlwijaGiQjcnX4DJY9DNgcNT0LD+w2mJEmSJEmS8iFR6AUUTgACmVw877xpNdQ3FnpNkiRJkiRJxaGoQqkQZSmJNkMU0XvrvWQCWloLsy5JkiRJkqRiU1TNav+Ru5jV0etYziTuDu/qcV82B5XlBVqYJEmSJElSkSmqUOqc6AeMyqW4PnySR8KxvBztSzJkyVFKdUU87FySJEmSJElDr6hCqTSjOSu5gCZqSZIlAONYy3lvHMe5R41yyLkkSZIkSVKeFNVMqV+Ej9JELVFIkgmjiEKCV6K9KW28ilTUVujlSZIkSZIkFY2iCqXuCbMIvY4lydKyfjQ0zi/ImiRJkiRJkopRUTWsPRreSKJXDpclSSXPw9pNhVmUJEmSJElSESqqSilCAkJHrVQUEaIc1SyiLvohjK8q7NokSZIkSZKKSHGFUr2UsYGbcm8jVfE6qJlX6OVIkiRJkiQVjeINpUKgLezJrVNug7MWQGlZoVckSZIkSZJUNIpqphREPT5LkqFlz+OhtMheBkmSJEmSpAIrqkqpEPUMpbJRgsr1Cwq0GkmSJEmSpOJVVKHUfqyAKCIRZQhRlmoWU1d2Z6GXJUmSJEmSVHSKKpRayQQSZMmRYD+Wc1P2raT2nlToZUmSJEmSJBWdgodSzzzzDMceeyxTp07l9a9/PUuWLBnw3CiKOOmkkxg/fvzOPVlIkgslEBKs5EAuKr2J9DR33ZMkSZIkScq3godS559/Pueddx5PP/00n//855kzZ86A515xxRUccsghg/TMgbujtzO7YTTpzCBdUpIkSZIkSduloKHUqlWrePjhh6mrqwPgjDPOYNmyZTz77LN9zl2yZAl33HEHX/jCFwbnyUMAAk1roL5xcC4pSZIkSZKk7VNSyCdftmwZEydOpKQkXkYIgcrKSlpaWpgyZUrXee3t7XzsYx/j2muvJZlMbvO6mzZtYtOmTV2ft7a2DnhukhwtrQUvGJMkSZIkSSoqIyKN+drXvsbs2bM57LDDtuv8yy67jHHjxnV9TJo08DDzLAkqywdrpZIkSZIkSdoeIYqiqFBPvmrVKqZMmcLLL79MSUkJURQxceJEFixY0KNS6oQTTqClpYUQAplMhuXLl1NZWcnf//53Kioq+ly3v0qpSZMm8ZrLVhOl9gGghHayJKmuCNz2gQSpgtaMSZIkSZIkDV+tra2MGzeOdevWUV4+ONU9BY1i9ttvP4488kjq6+uZM2cOt912GwcddFCPQArgz3/+c9efn3/+eWpra3n++ecHvO7o0aMZPXp0n+MfiH7Cwbk1BGB5mERl6WrqPnCJgZQkSZIkSVKeFTyOufrqq5kzZw7f+MY3KC8v57rrrgNg7ty5zJo1i1mzZg3ac/1n7vOUd9aFRcABpw+DV0CSJEmSJKn4FLR9L1+6SswuhfJUtzvOewHGHliwdUmSJEmSJI0EQ9G+NyIGnQ+Zez8B7W2FXoUkSZIkSVLRKe5Q6rlfwc3HGUxJkiRJkiTlWXGHUgCrF0Pj/EKvQpIkSZIkqagYSoUkrG0u9CokSZIkSZKKiqFUlIXxVYVehSRJkiRJUlEpKfQCCifEHxW1UDOv0IuRJEmSJEkqKsUVSh3/DdjcAhtWwJiJsPfUOJAqLSv0yiRJkiRJkopKcYVSAIkSmHSiYZQkSZIkSVIBFdVMqa//pYRrGktJ3/+f8PM3QXtboZckSZIkSZJUlIoqlLolnMul4dvMTv6Z9Oqn4LGrCr0kSZIkSZKkolRUoVQmjCIKSZqopT7Mg8b5VktJkiRJkiQVQFGFUp2SZGkJVbBuKdx8nMGUJEmSJElSnhVlKJUlSWXUHH+yenFcMSVJkiRJkqS8KapQKhFlIIrYn+WcGV0fHwxJWNtc0HVJkiRJkiQVm6IKpXIkSJDlJQ7gQ8l7SJOCKAvjqwq9NEmSJEmSpKJSVKEUIUEulED3YecVtVAzr9ArkyRJkiRJKirFFUp1kyRLS9nr4cy7obSs0MuRJEmSJEkqKkUbSmVJUtn2MNx6irvvSZIkSZIk5VlRhVIhylISbSZEWapZRF30Q3ffkyRJkiRJKoCSQi8gn/4j95+sjg6jMmqmLppPijSEUnffkyRJkiRJyrOiqpR6IRzcM5ACd9+TJEmSJEkqgKKqlLolfJQosRcN1NGQfTOpkHb3PUmSJEmSpAIoqlAqE0aRCEmWRDO4bty3uWDGpjiQcvc9SZIkSZKkvCqqUKpLCPwoewHnTg+kivMVkCRJkiRJKqiimim1ReCVNNQ3FnodkiRJkiRJxalIQylIhhwtrYVehSRJkiRJUnEq2lAqGwUqywu9CkmSJEmSpOJUXKFUFHV9jCbNmYe2FXpFkiRJkiRJRam4QqkQuj7S0WhuvfcvhV6RJEmSJElSUSquUKqbErK0rFpb6GVIkiRJkiQVpaINpbIkqUwuL/QyJEmSJEmSilJRhVIhylISbSZEWapZRN209kIvSZIkSZIkqSiVFHoB+fQfuf9kdXQYlVEzdXsvJHX0A4VekiRJkiRJUlEqqkqpD0Q/oTJqpiVUUb/pTNKZQq9IkiRJkiSpOBVVpdTZyT/wTOJ4kmTJtiVpqF9Nw7llpIrqVZAkSZIkSSq8oqqUepLpRCFJJowiCkmaNu5HfWOhVyVJkiRJklR8iiqUgtDjswRZWloLtBRJkiRJkqQiVlyhVOgZSmVJUlleoLVIkiRJkiQVseIKpXqI2DsVqKsp9DokSZIkSZKKT9GGUoGI82vbHXIuSZIkSZJUAEUVSoUoS0m0mRBlqY4eY06YX+glSZIkSZIkFaWiqhP6j9x/sjo6jMqombpoPqlX5xZ6SZIkSZIkSUWpqEKpc6IfUp7rdmB8VcHWIkmSJEmSVMyKqn2vh30Oh5p5hV6FJEmSJElSUSqqSilKymB0GdReCG/4ApSWFXpFkiRJkiRJRam4QqkLXoLy8kKvQpIkSZIkqegVVyjV3gaPXAtrm+N5UjXzrJaSJEmSJEkqgOIKpa6vBl6GRAlEWWi6Ec5aaDAlSZIkSZKUZ8U16Dz9LyCCXDtEOVi9GBrnF3pVkiRJkiRJRae4QqneQjJu5ZMkSZIkSVJeFXcoFWXj2VKSJEmSJEnKq+IOpSpq42HnkiRJkiRJyqviDaX2fz2ctcAh55IkSZIkSQVQvKHUK08XegWSJEmSJElFq3hDqc3r3HlPkiRJkiSpQIo3lAJ42WopSZIkSZKkQijuUGrDikKvQJIkSZIkqSgVdyg1ZmKhVyBJkiRJklSUijiUCrD31EIvQpIkSZIkqSiVFHoBeRUCJEogykJFLdTMK/SKJEmSJEmSilJxhVL7vwHGlEDVu2DGJ6G0rNArkiRJkiRJKkrFFUq99CCkgM2vxqGUJEmSJEmSCqLIZkpF8cfqxfDY/xZ6MZIkSZIkSUWryEKpbp77TaFXIEmSJEmSVLSKN5QKhV6AJEmSJElS8SreUKrqXYVegSRJkiRJUtEqrkHnoaM8qmK6g84lSZIkSZIKqLhCqb0PgwmHwtt/AqVlhV6NJEmSJElS0Squ9r2Xn4TnfgU/rYG2lwu9GkmSJEmSpKJVXKFUlItv178YB1PtbYVdjyRJkiRJUpEqqlDq64lvck34NGlScTDVOL/QS5IkSZIkSSpKRTVT6pbwUaLEXjRQR0PuzaTWNhd6SZIkSZIkSUWpqCqlMmEUUUjSRC31nA/jqwq9JEmSJEmSpKJUVJVSnZJkadnjGKh5d6GXIkmSJEmSVJSKMpTKhhIqj54NpaMKvRRJkiRJkqSiVFTteyXRZkKUpTr5FHXV2UIvR5IkSZIkqWgVVSj1/ugnXJy7iNs2H02qyZ33JEmSJEmSCqWoQqkuIQnuvCdJkiRJklQwRTVT6pbwUaLEXjTwYRrGLiBV6AVJI0F7GzTOj4Pc8VVQMw9Kywq9KkmSJEnSCFdUoVQmjCIRkjRRS33icOYWekHScNfeBjcfB6sXxxWGURaaboSzFhpMSZIkSZJ2SVG27yXJ0tJalF+6tGMa58eBVJSDXHt8u3pxfFySJEmSpF1QlMlMNkpQuX5BoZchDX9rm+MKqe6cySZJkiRJGgRFFUqVRJsJUZZqFlNXdmehlyMNf+Or4pa97qJsfFySJEmSpF1QVKHU+6OfcHHuIm7LnUBq70mFXo40/NXMg4rpEBKQKI1vK2rj45IkSZIk7YKiGnT+n7nPUx4BYw6AaecUejnS8FdaFg81d/c9SZIkSdIgK6pQ6uuJb3JoWEHdhvmkfnkSfPCvvrmWtqW0DI76TKFXIUmSJEnazRS8fe+ZZ57h2GOPZerUqbz+9a9nyZIlfc657777OOaYY5g2bRrV1dV87nOfI5fL7fBz3RI+yqWJy5mdXEB69dPuICZJkiRJklQgBQ+lzj//fM477zyefvppPv/5zzNnzpw+5+y1117cfPPNNDU18cgjj/CXv/yFn/70pzv8XJkwiigkaaKW+jDPHcQkSZIkSZIKpKCh1KpVq3j44Yepq6sD4IwzzmDZsmU8++yzPc6bMWMGVVXxbl+pVIra2lqef/75nX7eJFlaQpU7iEmSJEmSJBVIQUOpZcuWMXHiREpK4tFWIQQqKytpaWkZ8DEvvfQSt956K6effvqA52zatInW1tYeH91lSVI5Ju0OYpIkSZIkSQVS8Pa9HdHa2sq73vUuPve5z3H00UcPeN5ll13GuHHjuj4mTZoEQEm0mRBlqU4soe6DH3XIuSRJkiRJUoEUNJSaNGkSK1asIJPJABBFES0tLVRWVvY599VXX+XUU0/l3e9+N5/97Ge3et0vfvGLrFu3rutj2bJlALw/+gkX5y7itsybSD19w+B/QZIkSZIkSdouJYV88v32248jjzyS+vp65syZw2233cZBBx3ElClTepy3fv16Tj31VE499VQuvvjibV539OjRjB49us/x/8x9nvIICCUOOZckSZIkSSqggrfvXX311Vx99dVMnTqV//7v/+a6664DYO7cudx5550A/M///A8PPfQQDQ0N1NbWUltby9e//vWdf9IoA2MPGozlS5IkSZIkaSeEKIqiQi9iqLW2tjJu3DjWXQrlqY6DJ3wTjvlcQdclSZIkSZI0EnRlK+vWUV5ePijXLHilVGEk4NVlhV6EJEmSJElS0SrSUCqC8VWFXoQkSZIkSVLRKs5QqmI61Mwr9CokSZIkSZKKVkF338u7iW+Ew98LMz4JpWWFXo0kSZIkSVLRKq5Q6sw/wCAN45IkSZIkSdLOK872PUmSJEmSJBWUoZQkSZIkSZLyzlBKkiRJkiRJeWcoJUmSJEmSpLwrrkHnj30fMsthfBXUzHMHPkmSJEmSpAIprlBq4X9CWQlEWWi6Ec5aaDAlSZIkSZJUAEXVvvf18N9cE32CdDQKVi+GxvmFXpIkSZIkSVJRKqpKqVvCR4kSe9FAHQ3RW0itbS70kiRJkiRJkopSUVVKZcIoopCkiVrqmRvPlpIkSZIkSVLeFVWlVKckWVrKjoGadxd6KZIkSZIkSUWpKEOpbCih8ujZUDqq0EuRJEmSJEkqSkXVvlcSIADVFQnqag2kJEmSJEmSCqWoKqXeXw2HToS6GkgV1VcuSZIkSZI0vBRVpdR/7vl95h7RZiAlSZIkSZJUYEUVSrHwP+Hm46C9rdArkSRJkiRJKmrFFUpFEaxeDI3zC70SSZIkSZKkolZcoRRASMLa5kKvQpIkSZIkqagVXygVZWF8VaFXIUmSJEmSVNSKL5QaMxGmnVPoVUiSJEmSJBW14gqlQoD1y+HWUxx2LkmSJEmSVEDFFUpFEeCwc0mSJEmSpEIrrlCqS8Jh55IkSZIkSQVUnKFUlIGxBxV6FZIkSZIkSUWrOEMpAEKhFyBJkiRJklS0ijOUSpTCq8sKvQpJkiRJkqSiVZyhVJSF8VWFXoUkSZIkSVLRKq5QKlECIQEVtVAzr9CrkSRJkiRJKlolhV5AXlV/FA58XRxIlZYVejWSJEmSJElFq7hCqZnfhvLyQq9CkiRJkiSp6BVX+54kSZIkSZKGBUMpSZIkSZIk5Z2hlCRJkiRJkvKuuGZKPfZ9OPbTDjmXJEmSJCkPcrkcmzdvLvQytJ1GjRpFIpG/+qXiCqUW/ie0/BLOWmgwJUmSJEnSENq8eTNLly4ll8sVeinaTolEgsmTJzNq1Ki8PF9xhVJRBKsXQ+N8OOozhV6NJEmSJEm7pSiKWLFiBclkkkmTJuW1+kY7J5fLsXz5clasWEFlZSUhhCF/zuIKpQBCEtY2F3oVkiRJkiTttjKZDBs3buSAAw5gjz32KPRytJ0qKipYvnw5mUyG0tLSIX++4osqoyyMryr0KiRJkiRJ2m1ls1mAvLWBaXB0fr86v39DrbhCqRCgohZq5hV6JZIkSZIk7fby0QKmwZPv71dxhVLHfR3OWuCQc0mSJEmSlFf3338/IQTWrl271fMOPvhgrrzyyrysqdCKK5Sa8QkDKUmSJEmSlHfHHnssK1asYNy4cQBcf/31jB8/vs95f//73znvvPPyvLrCKL5B55IkSZIkSXk2atQoJkyYsM3zKioq8rCa4aG4KqUkSZIkSZIGMHPmTC688EIuvPBCxo0bx7777suXv/xloigC4JVXXuEjH/kIe+21F3vssQfveMc7eOaZZ7oe/89//pN3vetd7LXXXowZM4bq6mp+97vfAT3b9+6//37OPfdc1q1bRwiBEAJf/epXgZ7tex/60If4wAc+0GON7e3t7Lvvvvz0pz8FIJfLcdlllzF58mTKysqYPn06t9566xC/UoPDUEqSJEmSJKnDDTfcQElJCQ899BD/8z//w3e/+12uueYaAObMmcPDDz/MnXfeyV//+leiKOKd73wn7e3tAHziE59g06ZN/N///R+PP/443/zmN9lzzz37PMexxx7LlVdeSXl5OStWrGDFihVcdNFFfc47++yz+fWvf8369eu7jv3hD39g48aNvPe97wXgsssu46c//Snz589nyZIlfOYzn6Guro4HHnhgKF6eQWX7niRJkiRJGp7a26BxPqxthvFVUDNvyGdFT5o0iSuuuIIQAq997Wt5/PHHueKKK5g5cyZ33nknCxcu5NhjjwXgpptuYtKkSdxxxx28733vo6WlhTPOOIMjjjgCgKqqqn6fY9SoUYwbN44QwlZb+t7+9rczZswYbr/9dj784Q8D8LOf/YxZs2YxduxYNm3axDe+8Q3uuece3vSmN3U954IFC7j66qs58cQTB/OlGXSGUpIkSZIkafhpb4Obj4PViyEkIcpC041w1sIhDabe+MY3EkLo+vxNb3oT3/nOd2hqaqKkpIQ3vOENXffts88+vPa1r+WJJ54A4FOf+hQXXHABf/zjHznllFM444wzqKmp2em1lJSU8P73v5+bbrqJD3/4w2zYsIFf/epX3HzzzQA8++yzbNy4kbe+9a09Hrd582ZmzJix08+bL7bvSZIkSZKk4adxfhxIRTnItce3qxfHx4epuXPn0tzczIc//GEef/xxjj76aK666qpduubZZ5/Nvffey6pVq7jjjjsoKyvj1FNPBehq6/vtb3/LokWLuj6amppGxFwpQylJkiRJkjT8rG2OK6S6C8n4+BB68MEHe3z+t7/9jUMPPZRp06aRyWR63P+vf/2Lp556imnTpnUdmzRpEvPmzaOhoYF///d/58c//nG/zzNq1Ciy2ew213PssccyadIkfvGLX3DTTTfxvve9j9LSUgCmTZvG6NGjaWlpYcqUKT0+Jk2atDNffl7ZvidJkiRJkoaf8VVxy153UTY+PoRaWlr47Gc/y/nnn8+jjz7KVVddxXe+8x0OPfRQ3v3ud/Oxj32Mq6++mrFjx/KFL3yBAw88kHe/+90AfPrTn+Yd73gHU6dO5ZVXXuFPf/oThx12WL/Pc/DBB7N+/Xruvfdepk+fzh577MEee+zR77kf+tCHmD9/Pk8//TR/+tOfuo6PHTuWiy66iM985jPkcjmOP/541q1bx8KFCykvL+ecc84Z/BdoEFkpJUmSJEmShp+aeVAxHUICEqXxbUVtfHwIfeQjH6GtrY1jjjmGT3ziE/zbv/0b5513HgDXXXcdRx11FKeffjpvetObiKKI3/3ud12VS9lslk984hMcdthhnHrqqUydOpUf/OAH/T7Psccey7x58/jABz5ARUUF3/rWtwZc09lnn01TUxMHHnggxx13XI/7/uu//osvf/nLXHbZZV3P+9vf/pbJkycP0isydEIURVGhFzHUWltbGTduHOvWraO8vLzQy5EkSZIkabeWTqdZunQpkydPJpVK7fyF8rz73syZM6mtreXKK68csucYzrb2fRuKbMX2PUmSJEmSNDyVlsFRnyn0KjREbN+TJEmSJElS3lkpJUmSJEmSBNx///2FXkJRsVJKkiRJkiRJeWcoJUmSJEmSpLwzlJIkSZIkSVLeGUpJkiRJkiQp7wylJEmSJEmSlHeGUpIkSZIkSco7QylJkiRJkqRh7qtf/Sq1tbWFXsagMpSSJEmSJEkaRkII3HHHHT2OXXTRRdx7772FWdAQKSn0AiRJkiRJkrR1e+65J3vuuWehlzGorJSSJEmSJEkCZs6cyac+9Sk+97nPsffeezNhwgS++tWvdt2/du1a5s6dS0VFBeXl5Zx00kksXry4xzUuvfRS9ttvP8aOHcvcuXP5whe+0KPt7u9//ztvfetb2XfffRk3bhwnnngijz76aNf9Bx98MADvfe97CSF0fd69fe+Pf/wjqVSKtWvX9njuf/u3f+Okk07q+nzBggWccMIJlJWVMWnSJD71qU+xYcOGXX6dBouhlCRJkiRJUocbbriBMWPG8OCDD/Ktb32LSy65hLvvvhuA973vfaxatYq77rqLRx55hCOPPJKTTz6Zl19+GYCbbrqJr3/963zzm9/kkUceobKykh/+8Ic9rv/qq69yzjnnsGDBAv72t79x6KGH8s53vpNXX30ViEMrgOuuu44VK1Z0fd7dySefzPjx47ntttu6jmWzWX7xi19w9tlnA/Dcc89x6qmncsYZZ9DY2MgvfvELFixYwIUXXjj4L9pOClEURYVexFBrbW1l3LhxrFu3jvLy8kIvR5IkSZKk3Vo6nWbp0qVMnjyZVCq189fJQH0jtLRCZTnU1UBqCAcRzZw5k2w2y5///OeuY8cccwwnnXQSp59+OqeddhqrVq1i9OjRXfdPmTKFz33uc5x33nm88Y1v5Oijj+Z73/te1/3HH38869evZ9GiRf0+Zy6XY/z48fzsZz/j9NNPB+KZUrfffjvvec97us776le/yh133NF1nU9/+tM8/vjjXXOm/vjHPzJr1ixeeuklxo8fz9y5c0kmk1x99dVd11iwYAEnnngiGzZs6Pf7srXv21BkK86UkiRJkiRJw046A7NvgabVkExANgcNT0LD+4c2mKqpqenx+cSJE1m1ahWLFy9m/fr17LPPPj3ub2tr47nnngPgqaee4uMf/3iP+4855hjuu+++rs9XrlzJxRdfzP3338+qVavIZrNs3LiRlpaWHVrn2WefzRvf+EaWL1/OAQccwE033cRpp53G+PHjAVi8eDGNjY3cdNNNXY+JoohcLsfSpUs57LDDduj5hoKhlCRJkiRJGnbqG+NAKgIyufhY0+r4+Nwjh+55S0tLe3weQiD3/7d3/zFV1u8fx18Hj6A0sYXyw+BwRDi07zfix6Ilheimq5kzN2u5qQgZYZux1trMtTK31DbLxmoNW4waNhIjl5u1qTXRRTOZAZv9EAI8pyZqhDIqRfT+/ME8H4HD4bjP4b5PnOfjH3f/4D7X4Vxe9/tc3Pf7vnFD/f39SkxM1NGjR0f9zM1GUCDWrVunnp4eVVRUKCUlRVFRUZo/f74GBgZuK868vDzNmzdPn376qZ577jnt379fH330kXd7f3+/ysrKVF5ePupnHQ7Hbb3WRKEpBQAAAAAAQo67b+gKqZsNKWlo2d1nTTy5ubnq7u6W3W73Tj4+UkZGhk6ePKmioiLvupFzQn377bd6//33tXTpUkmSx+PRH3/8MWyfqVOn6vr16+PGtHr1an3yySdKSkpSRESEHnvssWHx/vjjj0pLSwv0LZqOic4BAAAAAEDIccQM3bJ3q+s3htZbYfHixZo/f75WrFihQ4cOqaurS42NjXrllVfU1NQkSXr++edVVVWljz/+WG1tbXrjjTfU2toqm83mPU56erpqamr0008/6cSJE1q9erWmT58+7LWcTqe+/vprdXd3q7e3d8yYVq9erVOnTmnbtm164oknhs11tWnTJjU2Nmrjxo1qbm5WW1ubvvjii5Ca6JymFAAAAAAACDlr7pP+b7Zkk2SPGPr3/2cPrbeCzWbTl19+qQULFqikpEQul0urVq3S2bNnFR8fL2moSbR582a99NJLys3NVWdnp4qLi4dNGl5VVaXe3l7l5uZq7dq1Ki8vV1xc3LDXevvtt3X48GElJycrJydnzJjS0tL0wAMPqLW11fvUvZvuu+8+NTQ06MyZMyooKFBOTo5ee+01zZkzJ4i/lf8NT98DAAAAAABB9W99+t5EWLJkiRISElRTU2N1KOPi6XsAAAAAAAAaakBN5KTmwfb333+rsrJSjzzyiKZMmaLa2lodOXJEhw8ftjq0kERTCgAAAAAAIAhu3uK3bds2XblyRRkZGaqvr9fixYutDi0k0ZQCAAAAAAAIgunTp+vIkSNWh/GvwUTnAAAAAAAAMB1NKQAAAAAAAJiOphQAAAAAAJgQhmFYHQJug9mfF00pAAAAAAAQVFOmTJEkDQwMWBwJbsfNz+vm5zfRmOgcAAAAAAAEld1uV3R0tC5evKipU6cqIoJrYkLdjRs3dPHiRUVHR8tuN6ddRFMKAAAAAAAElc1mU2Jiojo7O3X27Fmrw0GAIiIi5HA4ZLPZTHk9mlIAAAAAACDoIiMjlZ6ezi18/yKRkZGmXtVGUwoAAAAAAEyIiIgITZs2zeowEKIsv6mzra1N+fn5crlcysvL0+nTp33uV1VVpfT0dM2bN0+lpaW6du2ayZECAAAAAAAgWCxvSpWVlenZZ5/VmTNntGnTJhUXF4/ap7OzU6+++qqOHz+u9vZ2nT9/Xh988IH5wQIAAAAAACAoLG1KXbhwQU1NTVqzZo0kaeXKlfJ4PGpvbx+232effably5crISFBNptNGzZsUG1trRUhAwAAAAAAIAgsnVPK4/EoMTHR+6hBm80mh8Mht9uttLQ0735ut1spKSneZafTKbfbPeZxr169qqtXr3qXL1++LEnq6+sL9lsAAAAAAACY9G72VAzDCNoxJ+VE5zt27NDWrVtHrU9OTrYgGgAAAAAAgMmhp6dHM2fODMqxLG1KJScn69y5cxocHJTdbpdhGHK73XI4HMP2czgc+vXXX73LXV1do/a51ebNm/Xiiy96ly9duqSUlBS53e6g/eIwOfX19Sk5OVkej0cxMTFWh4MQRq4gUOQKAkWuIFDkCgJFriBQ5AoCcfnyZTkcDt11111BO6alTam4uDjl5uZqz549Ki4uVn19vZKSkobduicNzTX18MMP6/XXX1d8fLwqKyu1atWqMY8bFRWlqKioUetnzpzJfzAEJCYmhlxBQMgVBIpcQaDIFQSKXEGgyBUEilxBICIigjc9ueVP39u9e7d2794tl8ulN998U9XV1ZKkZ555RgcOHJAkpaamauvWrXrooYeUlpam2bNnq6yszMqwAQAAAAAA8D+wfE6pjIwMfffdd6PWf/jhh8OWS0tLVVpaalZYAAAAAAAAmECWXyllhqioKG3ZssXnLX3ArcgVBIpcQaDIFQSKXEGgyBUEilxBoMgVBGIi8sRmBPNZfgAAAAAAAEAAwuJKKQAAAAAAAIQWmlIAAAAAAAAw3aRvSrW1tSk/P18ul0t5eXk6ffq01SEhRFy5ckUrVqyQy+VSVlaWlixZovb2dknSwoULNXfuXGVnZys7O1vvvPOOxdHCak6nUxkZGd6c2Lt3ryRqDIbr6enx5kh2drZcLpfsdrv+/PNP6kqYKy8vl9PplM1mU3Nzs3e9vxpCfQlPvnLF35hFYtwSrsaqK2ONWSTqSrjylSv+xiwSdSVc+TvfXLhwQY8++qjS09N177336tixY96f87dtXMYkt2jRIqO6utowDMPYt2+fcf/991sbEELGP//8Yxw8eNC4ceOGYRiG8e677xqFhYWGYRhGYWGhsX//fuuCQ8hJSUkxfvjhh1HrqTHwZ+fOncayZcsMw6CuhLuGhgbD4/GMqiX+agj1JTz5yhV/YxbDoL6Eq7HqylhjFsOgroSrsXLlVreOWQyDuhKu/J1vSkpKjC1bthiGYRjff/+9cffddxsDAwPjbhvPpL5S6sKFC2pqatKaNWskSStXrpTH4xn2lyWEr2nTpmnp0qWy2WySpAcffFBdXV3WBoV/FWoMxlNVVaX169dbHQZCwIIFC5SUlDRsnb8aQn0JX75yhTELfPGVK/5QV8JXILnCmAWS//NNXV2dNmzYIEnKy8vTnDlz1NDQMO628UzqppTH41FiYqLsdrskyWazyeFwyO12WxwZQlFFRYUef/xx7/LLL7+szMxMPfXUU+ro6LAwMoSKoqIiZWZmav369bp48SI1Bn41Njaqt7dXy5Yt866jruBW/moI9QX+jByzSNQXDDdyzCLx3Qhj8zVmkagr+O/5pqenR9euXVNCQoJ3m9PplNvt9rstEJO6KQUEavv27Wpvb9eOHTskSTU1Nfr555/V2tqqgoKCUQUa4efYsWNqbW3VqVOnNGvWLK1bt87qkBDiqqqqVFRU5B38U1cABMPIMYtEfcFwjFlwu0aOWSTqCnyfbybCpG5KJScn69y5cxocHJQkGYYht9sth8NhcWQIJW+99ZY+//xzffXVV4qOjpY0lDvS0F+QNm7cqI6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      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nb_utils.scatter(polar_ngrams, title='Polar ngrams', xlabel=r'$r$', ylabel=r'$p$', annotate=False, x_right=200)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51295276-c40e-4677-8de5-5e380fa65941",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "6da0997c-0701-4145-9014-35d7c1f1bbfa",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def to_dataframe(ngrams):\n",
    "    df = pd.concat([\n",
    "        pd.DataFrame(ngrams['positive'], index=['r_pos', 'p_pos']),\n",
    "        pd.DataFrame(ngrams['negative'], index=['r_neg', 'p_neg'])\n",
    "    ]).T\n",
    "    words, tags = zip(*[zip(*ngram) for ngram in df.index])\n",
    "    df.index = words\n",
    "    df.insert(0, 'part_of_speech', tags)\n",
    "    return df[-df.iloc[:,1:].gt(200).any(axis=1)]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "baca6b4f-ee0f-403b-91a0-9a57faa95bc4",
   "metadata": {},
   "source": [
    "### Рассматриваем распределения параметров нейтральных $n$-грамм\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "953515de-bc38-4d87-9e05-bccf3b316701",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "neutral_df = to_dataframe(neutral_ngrams)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "1c1712b7-af5b-4fc7-a8df-f732c1912976",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nb_utils.hist(neutral_df, title='Parameters distributions [neutral ngrams]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "428f4f66-a111-42c3-b5c4-e7ea060a24a3",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "r: (mannwhitneyu) pvalue=0.08944725034964136\n",
      "p: (mannwhitneyu) pvalue=0.01623062058505556\n"
     ]
    }
   ],
   "source": [
    "from scipy.stats import mannwhitneyu\n",
    "\n",
    "print(f\"r: (mannwhitneyu) pvalue={mannwhitneyu(neutral_df['r_pos'], neutral_df['r_neg']).pvalue}\")\n",
    "print(f\"p: (mannwhitneyu) pvalue={mannwhitneyu(neutral_df['p_pos'], neutral_df['p_neg']).pvalue}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "55437498-1e95-4d01-a0b7-a448aad6a6bc",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "r: (ttest) pvalue=0.002432208646626682\n",
      "p: (ttest) pvalue=0.042967301526114235\n"
     ]
    }
   ],
   "source": [
    "from scipy.stats import ttest_ind\n",
    "\n",
    "print(f\"r: (ttest) pvalue={ttest_ind(neutral_df['r_pos'], neutral_df['r_neg']).pvalue}\")\n",
    "print(f\"p: (ttest) pvalue={ttest_ind(neutral_df['p_pos'], neutral_df['p_neg']).pvalue}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8986b6d7-3c06-4ca5-b574-1736b4732b1f",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "### Рассматриваем разность параметров $r, p$ по отдельным частям речи"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "66d76655-40ac-4b88-9b0a-775fddaa88dd",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(0, (('NOUN',), 317)),\n",
       " (1, (('VERB',), 190)),\n",
       " (2, (('ADJ',), 119)),\n",
       " (3, (('ADV',), 66)),\n",
       " (4, (('ADP',), 28)),\n",
       " (5, (('PRON',), 19)),\n",
       " (6, (('DET',), 11))]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "neutral_counts = neutral_df['part_of_speech'].value_counts()\n",
    "neutral_keys = neutral_counts.index[neutral_counts > 10]\n",
    "\n",
    "list(enumerate(zip(neutral_keys, neutral_counts)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "dbd1be78-e47d-45c8-a0b6-7c5dba66e725",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "KEY = 2\n",
    "\n",
    "df = neutral_df[neutral_df['part_of_speech'] == neutral_keys[KEY]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "9f66ebd0-1d96-419d-9640-2b1c5e631170",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "x, y = df['r_pos'] - df['r_neg'], df['p_pos'] - df['p_neg']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "e851d805-b063-4015-9911-71f369ac975a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8, 4), dpi=150)\n",
    "\n",
    "ax.scatter(x, y, s=0.1, marker='o', color='lightseagreen')\n",
    "\n",
    "ax.axhline(y=0, linewidth=0.1, linestyle='--', color='black')\n",
    "ax.axvline(x=0, linewidth=0.1, linestyle='--', color='black')\n",
    "\n",
    "ax.set_xlabel(r'$r_{\\mathrm{positive}}-r_{\\mathrm{negative}}$')\n",
    "ax.set_ylabel(r'$p_{\\mathrm{positive}}-p_{\\mathrm{negative}}$')\n",
    "\n",
    "ax.set_xlim([-150, 150])\n",
    "ax.set_ylim([-1, 1])\n",
    "ax.set_xticks([-150, -100, -50, 0, 50, 100, 150])\n",
    "ax.set_yticks([-1, -0.5, 0, 0.5, 1])\n",
    "\n",
    "plt.xticks(fontsize=8)\n",
    "plt.yticks(fontsize=8)\n",
    "\n",
    "fig.suptitle(f'Parameter difference. POS: {neutral_keys[KEY]}')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "d61c9063-db2f-4901-8d44-e36ef3f7bdda",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(5, 5), dpi=200)\n",
    "\n",
    "ax.scatter(x[x < 0], y[x < 0], s=4, color='dodgerblue', label='negative')\n",
    "for i, word in enumerate(df.index):\n",
    "    if x[i] < -5 and y[i] > 0.045:\n",
    "        ax.annotate(word, (x[i], y[i]), fontsize=9, xytext=[x[i]+0.3, y[i]-0.0025])\n",
    "    if x[i] > -5 and x[i] < 0 and y[i] > 0.045:\n",
    "        ax.annotate(word, (x[i], y[i]), fontsize=9, xytext=[-3.9, y[i]+0.003])\n",
    "        \n",
    "ax.yaxis.tick_right()\n",
    "ax.yaxis.set_label_position('right')\n",
    "ax.set_xlabel(r'$r_{\\mathrm{positive}}-r_{\\mathrm{negative}}$')\n",
    "ax.set_ylabel(r'$p_{\\mathrm{positive}}-p_{\\mathrm{negative}}$')\n",
    "\n",
    "ax.set_xlim([-25, 0])\n",
    "ax.set_ylim([0, 0.25])\n",
    "ax.set_xticks([-25, -20, -15, -10, -5, 0])\n",
    "ax.set_yticks([0, 0.05,  0.1, 0.15, 0.2, 0.25])\n",
    "\n",
    "plt.xticks(fontsize=8)\n",
    "plt.yticks(fontsize=8)\n",
    "\n",
    "plt.legend(loc='upper left')\n",
    "\n",
    "fig.suptitle(f'[right top]: Parameter difference. POS: {neutral_keys[KEY]}')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "75e1a925-fe82-48ca-9993-2f5e2e42db2b",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(5, 5), dpi=200)\n",
    "\n",
    "ax.scatter(x[x > 0], y[x > 0], s=4, color='darkorange', label='positive')\n",
    "for i, word in enumerate(df.index):\n",
    "    if x[i] > 1 and y[i] < -0.005:\n",
    "        ax.annotate(word, (x[i], y[i]), fontsize=9, xytext=[x[i]+0.4, y[i]-0.0025])\n",
    "    if word == ('happy',):\n",
    "        ax.annotate(word, (x[i], y[i]), fontsize=9, xytext=[x[i]-0.1, y[i]+0.005])\n",
    "        \n",
    "ax.xaxis.tick_top()\n",
    "ax.xaxis.set_label_position('top')\n",
    "ax.set_xlabel(r'$r_{\\mathrm{positive}}-r_{\\mathrm{negative}}$')\n",
    "ax.set_ylabel(r'$p_{\\mathrm{positive}}-p_{\\mathrm{negative}}$')\n",
    "\n",
    "ax.set_xlim([0, 25])\n",
    "ax.set_ylim([-0.25, 0])\n",
    "ax.set_xticks([0, 5, 10, 15, 20, 25])\n",
    "ax.set_yticks([0, -0.05,  -0.1, -0.15, -0.2, -0.25])\n",
    "\n",
    "plt.xticks(fontsize=8)\n",
    "plt.yticks(fontsize=8)\n",
    "\n",
    "plt.legend(loc='lower right')\n",
    "\n",
    "fig.suptitle(f'[left bottom]: Parameter difference. POS: {neutral_keys[KEY]}')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "74f480a1-3b21-42a6-b4d5-7d38a17e560b",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}