research_results_data.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f6aa0bc0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "path_posts_words = '/Users/lenar/PycharmProjects/vk-word-frequency-analyzer/results/frequency_post_words_in_3000_posts.csv'\n",
    "path_main_comm_words = '/Users/lenar/PycharmProjects/vk-word-frequency-analyzer/results/frequency_main_comm_words_in_3000_posts.csv'\n",
    "path_answ_comm_words = '/Users/lenar/PycharmProjects/vk-word-frequency-analyzer/results/frequency_answ_comm_words_in_3000_posts.csv'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "75ff11e1",
   "metadata": {},
   "source": [
    "### Загрузка данных"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4f84b5a9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "      <th>13</th>\n",
       "      <th>14</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>word</th>\n",
       "      <td>1</td>\n",
       "      <td>июль</td>\n",
       "      <td>весь</td>\n",
       "      <td>россиянин</td>\n",
       "      <td>выдача</td>\n",
       "      <td>первый</td>\n",
       "      <td>паспорт</td>\n",
       "      <td>вручать</td>\n",
       "      <td>конституция</td>\n",
       "      <td>лентач</td>\n",
       "      <td>сегодня</td>\n",
       "      <td>финал</td>\n",
       "      <td>евровидение</td>\n",
       "      <td>традиционно</td>\n",
       "      <td>вести</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>frequency</th>\n",
       "      <td>92</td>\n",
       "      <td>17</td>\n",
       "      <td>83</td>\n",
       "      <td>155</td>\n",
       "      <td>12</td>\n",
       "      <td>220</td>\n",
       "      <td>22</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>49</td>\n",
       "      <td>91</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           0     1     2          3       4       5        6        7   \\\n",
       "word        1  июль  весь  россиянин  выдача  первый  паспорт  вручать   \n",
       "frequency  92    17    83        155      12     220       22        3   \n",
       "\n",
       "                    8       9        10     11           12           13  \\\n",
       "word       конституция  лентач  сегодня  финал  евровидение  традиционно   \n",
       "frequency            9      49       91      6            9            6   \n",
       "\n",
       "              14  \n",
       "word       вести  \n",
       "frequency     29  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "posts_words_freq = pd.read_csv(path_posts_words, header=None, names=['word', 'frequency'])\n",
    "main_comm_words_freq = pd.read_csv(path_main_comm_words, header=None, names=['word', 'frequency'])\n",
    "answ_comm_words_freq = pd.read_csv(path_answ_comm_words, header=None, names=['word', 'frequency'])\n",
    "\n",
    "posts_words_freq.head(15).T"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a5da8d4",
   "metadata": {},
   "source": [
    "#### Общая информация"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ef367bbf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "All len unique post words 13501\n",
      "All len unique main comments words 51295\n",
      "All len unique answer comments words 70981\n"
     ]
    }
   ],
   "source": [
    "print(f\"All len unique post words {len(posts_words_freq)}\")\n",
    "print(f\"All len unique main comments words {len(main_comm_words_freq)}\")\n",
    "print(f\"All len unique answer comments words {len(answ_comm_words_freq)}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5695758d",
   "metadata": {},
   "source": [
    "### Сортировка слов по частоте"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a5431ad6",
   "metadata": {},
   "outputs": [],
   "source": [
    "posts_words_freq = posts_words_freq.sort_values(by=['frequency'], ascending=False)\n",
    "main_comm_words_freq = main_comm_words_freq.sort_values(by=['frequency'], ascending=False)\n",
    "answ_comm_words_freq = answ_comm_words_freq.sort_values(by=['frequency'], ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "4c117c06",
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>111</th>\n",
       "      <th>73</th>\n",
       "      <th>69</th>\n",
       "      <th>131</th>\n",
       "      <th>144</th>\n",
       "      <th>473</th>\n",
       "      <th>132</th>\n",
       "      <th>120</th>\n",
       "      <th>255</th>\n",
       "      <th>109</th>\n",
       "      <th>115</th>\n",
       "      <th>150</th>\n",
       "      <th>35</th>\n",
       "      <th>297</th>\n",
       "      <th>1135</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>word</th>\n",
       "      <td>коронавирус</td>\n",
       "      <td>год</td>\n",
       "      <td>россия</td>\n",
       "      <td>человек</td>\n",
       "      <td>вакцина</td>\n",
       "      <td>который</td>\n",
       "      <td>coronavirus</td>\n",
       "      <td>область</td>\n",
       "      <td>новость</td>\n",
       "      <td>новый</td>\n",
       "      <td>москва</td>\n",
       "      <td>страна</td>\n",
       "      <td>изз</td>\n",
       "      <td>заявить</td>\n",
       "      <td>000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>frequency</th>\n",
       "      <td>1018</td>\n",
       "      <td>699</td>\n",
       "      <td>593</td>\n",
       "      <td>517</td>\n",
       "      <td>464</td>\n",
       "      <td>444</td>\n",
       "      <td>405</td>\n",
       "      <td>399</td>\n",
       "      <td>353</td>\n",
       "      <td>352</td>\n",
       "      <td>350</td>\n",
       "      <td>350</td>\n",
       "      <td>332</td>\n",
       "      <td>328</td>\n",
       "      <td>285</td>\n",
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       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "                  111  73      69       131      144      473          132   \\\n",
       "word       коронавирус  год  россия  человек  вакцина  который  coronavirus   \n",
       "frequency         1018  699     593      517      464      444          405   \n",
       "\n",
       "              120      255    109     115     150  35       297  1135  \n",
       "word       область  новость  новый  москва  страна  изз  заявить  000  \n",
       "frequency      399      353    352     350     350  332      328  285  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "posts_words_freq.head(15).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "11ed5fc3",
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>824</th>\n",
       "      <th>11</th>\n",
       "      <th>139</th>\n",
       "      <th>73</th>\n",
       "      <th>35</th>\n",
       "      <th>310</th>\n",
       "      <th>206</th>\n",
       "      <th>152</th>\n",
       "      <th>137</th>\n",
       "      <th>97</th>\n",
       "      <th>224</th>\n",
       "      <th>216</th>\n",
       "      <th>436</th>\n",
       "      <th>0</th>\n",
       "      <th>160</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>word</th>\n",
       "      <td>человек</td>\n",
       "      <td>пять</td>\n",
       "      <td>год</td>\n",
       "      <td>который</td>\n",
       "      <td>четыре</td>\n",
       "      <td>свой</td>\n",
       "      <td>россия</td>\n",
       "      <td>просто</td>\n",
       "      <td>ещё</td>\n",
       "      <td>страна</td>\n",
       "      <td>весь</td>\n",
       "      <td>всё</td>\n",
       "      <td>хотеть</td>\n",
       "      <td>знать</td>\n",
       "      <td>вообще</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>frequency</th>\n",
       "      <td>3066</td>\n",
       "      <td>2578</td>\n",
       "      <td>2471</td>\n",
       "      <td>2281</td>\n",
       "      <td>1980</td>\n",
       "      <td>1936</td>\n",
       "      <td>1895</td>\n",
       "      <td>1654</td>\n",
       "      <td>1556</td>\n",
       "      <td>1556</td>\n",
       "      <td>1427</td>\n",
       "      <td>1326</td>\n",
       "      <td>1217</td>\n",
       "      <td>1183</td>\n",
       "      <td>1152</td>\n",
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       "               824   11    139      73      35    310     206     152   137  \\\n",
       "word       человек  пять   год  который  четыре  свой  россия  просто   ещё   \n",
       "frequency     3066  2578  2471     2281    1980  1936    1895    1654  1556   \n",
       "\n",
       "              97    224   216     436    0       160  \n",
       "word       страна  весь   всё  хотеть  знать  вообще  \n",
       "frequency    1556  1427  1326    1217   1183    1152  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "main_comm_words_freq.head(15).T"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "59c40228",
   "metadata": {},
   "source": [
    "### Рассмотрим на наиболее частотные слова"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "49c64e54",
   "metadata": {},
   "outputs": [],
   "source": [
    "most_freq_posts_words = posts_words_freq.iloc[:40]\n",
    "most_freq_main_comm_words = main_comm_words_freq.iloc[:40]\n",
    "most_freq_answ_comm_words = answ_comm_words_freq.iloc[:40]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f9ac9356",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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Aa7r7PXV12BPYE2D06NHjLrjgglnr7n16yqy/R88Pz2dueK6x9KiWHuO0adMKm0NVTuVUrnfKDYQ6qpzKDcZyo0aNYvnll2fo0KFtH2/mzJn9otzqq6/Odddd1/D2YW/U8fjjj2fKlCn84Ac/yC336KOPMmXKlNnWbbrppne4+7oNd+ruLf8AmwBv1y37J3BE3bIjiMANorXrurr1m9b2A3wIcFJwmJYNScs2LqrPuHHjPGvMdy+d9XP8uX+e7f9WXXvttS1vq3Iqp3LdKzcQ6qhyKjcYy91///3+6quvljpefyk3ZswYf/HFF/vkWNtuu62vscYaTY93//33z7EOuN1zYppujLKcSvQdy1oYeLWN9aRtJmf+JrONiIiISEMTJ07ss2NdcsklvbLfbiSGvRuoz4q2dlpeW7+KmY3IWf8Q8GbdPtYG3gAe7kL9RERERPq1lgIyMxuaOtjPk/6fL/0YcDawrpltb2bDzWx7YBxwVip+PfA48BMzmz/1Gfsq0bEfj9QW5wJHmtm7zOxdwJHA2e7e3lTpIiIi0jZvoz+5NFfm+Wy1hWwnosXqH8DQ9PcbwBh3n0DkDzuEuMV4CPAZd5+YKjUT+BSwOvAycDlwtLtfkNn/vkRrWO3nIWC/th+NiIiItGW++eZjypQpCsq6xN15+eWXZ+VOa1VLfcjc/UzgzIL1VwBXFKx/FNisYP1rwG7pR0RERPrIMsssw9133820adPaLvvmm2+2HXj0dbkq6rjwwgvPNlF6KwbV1EkiIiLSnuHDhzNt2jTWXbdxNoYi48ePZ+211+7X5QZCHaE7nfpFREREpAMKyEREREQqpoBMREREpGIKyEREREQqpoBMREREpGIKyEREREQqpoBMREREpGIKyEREREQqpoBMREREpGIKyEREREQqpoBMREREpGIKyEREREQqpoBMREREpGIKyEREREQqpoBMREREpGIKyEREREQqpoBMREREpGIKyEREREQqpoBMREREpGIKyEREREQqpoBMREREpGIKyEREREQqpoBMREREpGIKyEREREQqpoBMREREpGIKyEREREQqpoBMREREpGIKyEREREQqpoBMREREpGIKyEREREQqpoBMREREpGIKyEREREQqpoBMREREpGIKyEREREQqpoBMREREpGIKyEREREQqpoBMREREpGIKyEREREQqpoBMREREpGIKyEREREQq1pWAzMzebWYXmtmLZjbJzK4xszUz63c2swlm9rqZ3WJm4+rKr2tmt6b1E8xsx27US0RERGQg6FYL2W+BRYFVgNHA7cClFjYGfgd8DVgEuAi43MwWAjCzUcDf0/JFgL2AE81swy7VTURERKRf61ZAthLwR3ef5O4zgNOAZYDFgD2Ai939SnefDhwNTAc+k8puB7wO/Nzdp7v7VcAlwJ5dqpuIiIhIv2bu3vlOzHYCdkw/U4EfA+u7+4fM7C7gTHf/VWb7vwAT3H1/M/sVMNbdt82s3w/Yyd3XaXCsPUnB2ujRo8ddcMEFs9bd+/SUWX+Pnh+ef6On3BpLj2rpsUybNo2RI0e2tK3KqZzKda/cQKijyqmcyg28cv2pjptuuukd7r5uw5Xu3vEPsAJwNeDA28BjwHvTugnArnXbnwWcmv4+DTirbv2uwKPNjjtu3DjPGvPdS2f9HH/un2f7v1XXXntty9uqnMqpXPfKDYQ6qpzKqdzAK9ef6gjc7jkxTce3LM1sSArGHgZGAQsQLWQ3mNloosWsvnlqYeDV9Hez9SIiIiKDWjf6kC0KLA/82t1fdfcZ7n5q2veGwN3ArFuPZmbAWmk56fdadftcO7NeREREZFDrOCBz95eI1rG9zWyEmQ0zs92ABYF7gFOA7cxsMzObB/g2MB/RcZ/0e4SZHWBm85jZZkRH/5M7rZuIiIjIQNCtUZbbEq1kjwMvA18HPu/u/3P3G4G9icBsCvB/wFbu/iqAu08GtgI+n9afAuzl7v/uUt1ERERE+rVh3diJuz8AfLJg/dnA2QXrbwPW70ZdRERERAYaTZ0kIiIiUjEFZCIiIiIVU0AmIiIiUjEFZCIiIiIVU0AmIiIiUjEFZCIiIiIVU0AmIiIiUjEFZCIiIiIVU0AmIiIiUjEFZCIiIiIVU0AmIiIiUjEFZCIiIiIVU0AmIiIiUjEFZCIiIiIVU0AmIiIiUjEFZCIiIiIVU0AmIiIiUjEFZCIiIiIVU0AmIiIiUrFhVVegPxj7vctm/f3tNd5ml8z/E4/auooqiYiIyFxELWQiIiIiFVNAJiIiIlIxBWQiIiIiFVNAJiIiIlIxBWQiIiIiFVNAJiIiIlIxBWQiIiIiFVNAJiIiIlIxBWQiIiIiFVNAJiIiIlIxBWQiIiIiFVNAJiIiIlIxBWQiIiIiFVNAJiIiIlIxBWQiIiIiFVNAJiIiIlIxBWQiIiIiFVNAJiIiIlIxBWQiIiIiFVNAJiIiIlKxrgVkZvYxM7vZzKaZ2Utm9tvMup3NbIKZvW5mt5jZuLqy65rZrWn9BDPbsVv1EhEREenvuhKQmdkmwJ+AY4DFgGWAU9O6jYHfAV8DFgEuAi43s4XS+lHA39PyRYC9gBPNbMNu1E1ERESkv+tWC9lPgRPd/U/uPt3d33T3O9O6PYCL3f1Kd58OHA1MBz6T1m8HvA78PJW9CrgE2LNLdRMRERHp1zoOyMxsBLA+MMzM7ky3K8eb2bppkzWBO2rbu7sD/0nLa+v/k5bX3JlZLyIiIjKo2exxUIkdmC0DPAk8A3wCeBD4DrAvsAoRjP3I3c/IlDkLeMvddzez04Bh7v7lzPpdgYPdfaUGx9uT1Ho2evTocRdccMGsdfc+PWXW36Pnh+ff6Cm3xtKjch9D2XJZ06ZNY+TIkS1tq3Iqp3LVHkvlVE7l5p5y/amOm2666R3uvm7Dle7e0Q8wCnAi6KotM2ASsBVwF7BvXZm/AL9If/8K+HPd+v2AO5sde9y4cZ415ruXzvo5/tw/z/Z/kbLlsq699tqWt1U5lVO5ao+lciqncnNPuf5UR+B2z4lphrUd+s0Z0E0xs4kpKJttVfq5G1inttDMDFgLuDgtuhvYtq7s2ml5vzb2e5fN+vvba7zNLpn/Jx61dRVVEhERkQGoW536fwvsamarmtkw4ACi4/5NwCnAdma2mZnNA3wbmI/ouE/6PcLMDjCzecxsM6Kj/8ldqpuIiIhIv9ZxC1lyDLAgcA0RbP0H+IS7TwFuNLO9icBsSeBeYCt3fxXA3Seb2VbAb4AjgWeBvdz9312qm4iIiEi/1pWALN0XPTT9NFp/NnB2QfnbiJGaIiIiInMdTZ0kIiIiUjEFZCIiIiIVU0AmIiIiUjEFZCIiIiIVU0AmIiIiUjEFZCIiIiIVU0AmIiIiUjEFZCIiIiIVU0AmIiIiUjEFZCIiIiIVU0AmIiIiUjEFZCIiIiIVU0AmIiIiUjEFZCIiIiIVU0AmIiIiUrFhVVdgbjT2e5fN+vvba7zNLpn/Jx61dRVVEhERkQqphUxERESkYgrIRERERCqmgExERESkYgrIRERERCqmgExERESkYgrIRERERCqmgExERESkYgrIRERERCqmgExERESkYgrIRERERCqmgExERESkYgrIRERERCqmgExERESkYsOqroC0buz3Lpv197fXeJtdMv9PPGrrKqokIiIiXaAWMhEREZGKKSATERERqZgCMhEREZGKKSATERERqZg69c8FNBhARESkf1MLmYiIiEjFFJCJiIiIVEwBmYiIiEjFFJCJiIiIVEwBmYiIiEjFFJCJiIiIVKyrAZmZDTGzm8zMzWyZzPKdzWyCmb1uZreY2bi6cuua2a1p/QQz27Gb9RIRERHpz7rdQrYf8Hp2gZltDPwO+BqwCHARcLmZLZTWjwL+npYvAuwFnGhmG3a5biIiIiL9UtcCMjNbBdgb+E7dqj2Ai939SnefDhwNTAc+k9ZvRwRxP3f36e5+FXAJsGe36iYiIiLSn3UlU7+ZDQFOJ4KxyXWr1wTOrP3j7m5m/0nLa+v/4+6eKXMnsFM36ibl5WX4V3Z/ERGR7rLZ46CSOzHbD/igu3/OzMYCjwHLuvtTZjYB+JG7n5HZ/izgLXff3cxOA4a5+5cz63cFDnb3lRoca09S69no0aPHXXDBBbPW3fv0lFl/j54fnn+jp9waS4/Krb/KtVeu1TLtlKs3bdo0Ro4c2fL2Kjfwyw2EOqqcyqncwCvXn+q46aab3uHu6zZa13ELmZmtBHwbaHgAYCpQ/028MDAhs35sg/WvNtqZu58MnAyw7rrr+iabbDJr3S51LTrH3tvz8Cbu0LNdPZVrr1yrZdopV2/8+PFkX1uVG/zlBkIdVU7lVG7glRsIdYTu9CHbGFgCuM/MXiJuNwLcY2Z7A3cD69Q2NjMD1krLSb/Xqtvn2pn1IiIiIoNaNwKyPwArEkHVWsBWafkWwNnAKcB2ZraZmc1DtKbNR3TcJ/0eYWYHmNk8ZrYZ0dH/5C7UTURERKTf6/iWpbu/TibVhZnV9vmcu08DbkwtZacASwL3Alu5+6up/GQz2wr4DXAk8Cywl7v/u9O6iYiIiAwEXRllmeXuEwGrW3Y20VqWV+Y2YP1u10VERERkINDUSSIiIiIVU0AmIiIiUjEFZCIiIiIVU0AmIiIiUjEFZCIiIiIVU0AmIiIiUrGup70QKWNsgymXWpnMvGw5ERGR/kQBmcyVFACKiEh/oluWIiIiIhVTQCYiIiJSMQVkIiIiIhVTHzKRPqC+ZyIiUkQBmUg/pkBORGTuoFuWIiIiIhVTQCYiIiJSMQVkIiIiIhVTQCYiIiJSMQVkIiIiIhVTQCYiIiJSMQVkIiIiIhVTQCYiIiJSMQVkIiIiIhVTQCYiIiJSMU2dJDIIacolEZGBRS1kIiIiIhVTQCYiIiJSMQVkIiIiIhVTQCYiIiJSMQVkIiIiIhVTQCYiIiJSMQVkIiIiIhVTQCYiIiJSMQVkIiIiIhVTpn4RmUUZ/kVEqqEWMhEREZGKqYVMRDpWtmUtWy5bplk5EZHBRi1kIiIiIhVTC5mIDDhlW9bUIici/ZUCMhGRJhQAikhvU0AmItLPKJATmfsoIBMRGST6uiVPgaNI93SlU7+Z/czM/mtmr5rZM2Z2ipktWrfNzmY2wcxeN7NbzGxc3fp1zezWtH6Cme3YjbqJiIiI9HfdGmU5E9gRWAxYE1gGOLO20sw2Bn4HfA1YBLgIuNzMFkrrRwF/T8sXAfYCTjSzDbtUPxEREZF+qyu3LN39oMy/L5rZccAfMsv2AC529ysBzOxo4BvAZ4CzgO2A14Gfu7sDV5nZJcCewL+7UUcREekf8m51tnp7tJ1yIgNFb+Uh2wy4O/P/msAdtX9S0PWftLy2/j9pec2dmfUiIiIig5bNHgN1YYdmnyVuV37E3e9MyyYAP3L3MzLbnQW85e67m9lpwDB3/3Jm/a7Awe6+Ut3+9yRazhg9evS4Cy64YNa6e5+eMuvv0fPD82/0lFtj6VG5dVa59sq1WkblVK6dcgPxs6By/f/cUm/atGmMHDmy5e1VbuCX60913HTTTe9w93UbrevqKEsz+zxwErBNLRhLpgL1n5iFgQmZ9WMbrH+1/hjufjJwMsC6667rm2yyyax1u9Q1gx97b8/Dm7hDz3b1VK69cq2WUTmVa6fcQPwsqFz/P7fMeatzJsfe+FqUa+NW5/jx48l+36jcwCk3EOoIXbxlmVq0TgI+5e7X1q2+G1gns60Ba9FzW/Pu9H/W2sx+21NERERkUOpKC5mZ7QMcBnzc3W9rsMkpwBXpNuUNwD7AfMAlaf0lwM/N7ADgOOBDREf/zbtRPxERkXZoEIH0tW7dsjwOeBu4Nhq/gruPTL9vNLO9icBsSeBeYCt3fzWtn2xmWwG/AY4EngX2cneNsBQRkQFDgZyU1a20F9bCNmcDZxesvw1Yvxv1ERERGUgUyImmThIRERmgFMgNHgrIRERE5jJlA7m+Ljc3UUAmIiIi/dLcFMgpIBMREZFBJW96Lmi9Ja8vymX11tRJIiIiItIiBWQiIiIiFVNAJiIiIlIxBWQiIiIiFVNAJiIiIlIxBWQiIiIiFVNAJiIiIlIxBWQiIiIiFVNAJiIiIlIxBWQiIiIiFVNAJiIiIlIxBWQiIiIiFVNAJiIiIlIxBWQiIiIiFVNAJiIiIlIxBWQiIiIiFVNAJiIiIlIxBWQiIiIiFVNAJiIiIlIxBWQiIiIiFVNAJiIiIlIxBWQiIiIiFVNAJiIiIlIxBWQiIiIiFVNAJiIiIlIxBWQiIiIiFVNAJiIiIlIxBWQiIiIiFVNAJiIiIlIxBWQiIiIiFVNAJiIiIlIxBWQiIiIiFVNAJiIiIlIxBWQiIiIiFVNAJiIiIlIxBWQiIiIiFVNAJiIiIlKxfhOQmdlQMzvazF40s6lmdpGZLV51vURERER6W78JyIDvAZ8GNgCWScvOqa46IiIiIn1jWNUVyNgTONLd/wdgZgcCj5rZGHd/vNqqiYiIiPSeftFCZmYLA8sBd9SWufsE4FVgzYqqJSIiItInzN2rrgNmtizwBLCCuz+WWf44cLC7n5tZtifRmgbwHuChnN0uDrxUojoqp3IqV025gVBHlVM5lRt45fpTHce4+xIN17h75T/AwoADa9UtnwJsU3Kft6ucyqncwCk3EOqociqncgOv3ECoo7v3j1uW7j6ZaCFbp7bMzFYAFgLuqahaIiIiIn2iXwRkycnAd81seTNbCPgZ8A93n1httURERER6V38aZXkUsAhwGzAvcBWwYwf7O1nlVE7lBlS5gVBHlVM5lRt45QZCHftHp34RERGRuVl/umUpIiIiMldSQCYiIiJSMQVkIiJzMTNbruo6iIgCsn7FzEZVXYcaM1u5Nrm7mY0ws8PN7AdmNl8b+xhtZqea2elmtnTv1XbuYWbDzGx41fWY25jZRxosW8zM/lJFfbrsf2Z2lZl90czmrboy7TCzZc1sTNX1qGdmo8zsS2kKQMzs3Wa2VNX1aqaV59PMlsv76aU6Hd0b+21yzJFm9gUz+076PbLEPto+Vw+qTv1m9kPg7+5+U2bZB4Et3P2wkvtchghc33b3Z7pUzwPc/ei6ZR8BznL3sd04Rt2+P5y3zt2vzylzO7CLu99nZscBmwIziIR3e7V43D8RueTeAIa5+9Zt1HkBYH/iuf+lu09ttWw7UoC5BGC1Ze7+RMH2SwC/AjZL5WZx96FNjjUSeM3d3cw2A6a6+61t1PWTwB9SXXd094tyttuAmM1iTeL5fxW4Gzip2fHMbGbeuqLHZ2ZXAke5+zWZZZsB33H3TxQdsxvMbGNgSN77ObNd2cf3AvBZd78h/b8FcCbwN3f/aqlK9xNmtjywC7AzMAq4ADjd3W/vpeMZsDs9n6HsZ++jbexnV+A0Iqn4N9z9d22UXZZ4v3R9nmQzGwdcATwLLO/uC6b3y1fd/bMF5U7PW+fuu3W7ng2O39LzaWbvpG0gXjuv/W7hHLgs8CVgWeBJ4Hx3f7JJmVfdfaF2HkuDfWwInJvquau7X1ew7WpEloeZwERgLDCUiCPua/F4LZ2r5yg3yAKyZ4BV3H1aZtmCwIPuXthCY2Yb5ay6ErgVeNHdv1BXptQHyMweJr4cjzWzocAPga8C33T385vUc3Man8h2q9tuXnefnv5+h3hzNaimz5NznFeAxVLw8DTwQWAqcK+7t3Sll16P9xIB2WPuvkwr5VLZ04D1genAw+7+pZztDs3bh7sfWbD/FYgP6AYNyhV9Mf8eWBI4Gvg9sD3wPeAP7v7rgnK7AqcAdwHnAwcQweah7n5SXrm6fdxGnDAnE1OKrdFgmx2AE4FLgDvTtgsDawOfIb4Ufl9XZg9gprufbmb3AyOAg4iT0Szu/q+Cur0EvNvd384sGw486+6LF5T7X946d18hb13dPr4HHEa8x49x98Pr1nfj8X2UeL13AD6Zfu/p7pe0UL+2zxNm9hg9X3r1ZXKfl06fzxREf5l4r/zP3QvnEi7z+TOznwC7AecAewO/BXYivpz3b1bHzH7uBQ4EJgFnu/sqLZZrNfAoe265gQhozzCzSe6+SLoYe6joeyidp58gvnMsu87d9ygoV+oio8F+Wno+zewqYBXg28C/6473dMH+NyYC1XuACcAKxEXjlu5+Y0G5qe6+YKuPI2cf1wM3EN9hn3X39Qq2vQq4ETgyff8ZcAiwibtv1uLxmp6rGyqT3r+//hBvpCF1y4YCU1oo+07Oz8yCMjOIL9lTiKCj9vcpTY61DPAI8GPglvTij2mhjt8CXgf+mI73R2Aa8eGp3/ZrwG/T36cCjwNfaPO5HEYEVI9klk9tYx+vZP5+os3X8gki6BwBPFW37j3AwpnXrXYSuyrzc2WT/V8OXAisnj40qwEXEa2CReWeB96V/p6cfi8H3Nqk3EPAp4BPp9dsVWAc8N82npOXMn8/mbPNI8DHctZtBjzaYPnitf2l1/w76XEeCszbYt1eAOavWzY/8HKDbb8IbJ0pNzG9X3fI/rTxvDxMBJwrEIF/1x9f5vl7jciVuFQb5do+T2Sehx3T+yX3eenm80mcLz8DXEvOua/Tz1+q35rp70np9weAi1t9TlOZ7Pml4echp9y9wCfSMR8u2O6tzOOZ3spjq9WLnsaObB0nNym3MfAf4O/Ayk223QPYLf19P3F+34G4cJ7101vPJ/A54DHgdGCJFvd/U63OmWW7Ajc1KfdqO48jZx8vAEPT30812fZlYHjdsuE0OJcV7KPpubphuU4faH/6SSfKT9Qt+zhwZwtlGwYaRW+GbJnsm7nFui4LPAqMr314WyjzCBGlZ09kWwOnNdh2HuCFzP/rEcHftcCqLRzrCuAk4C/AcWnZWODxJuU2yvxMATZMfz/X5vMzKfP3k3XrtgGuSX/vSDR9/w5YpI39vwwsmP6enH4vTpMAqe5k+ywwotn7pH498Hrm78lt1LlpgEsEDMNz1g3PHjuzfIH614doBTyHuJL9dAt1+ztwYN2yA4CrGmy7PCkwJFrvTgCeAnZu5z3SynulW48vU24zIpjbuI0ypc8TrZTpxvMJvB/4ZXpsTwA/AlbK2bajz1/dZ+Eler4oJ7Va3/rnJe/z0EK53C/Lutet5boRF19jsscCVmp2bknbDQG+ATwH/BRYIGe7rlxkdPJ8EhdcP0p1/VbtdSzYfhKNG0wKn1siML6y0U9vPLZ0Tli5btnKNLjY6/p7s8wL119/gO2I/jI/A75CZP+fAnyuhbINv1Dzlqd1U4im5eHA20RL1MgWjlULWL5INKEeXFvWpNwcJ/Z0/JcabDuWuOVQv3x34Bni5LtQwbHGAOcBZxC3LgH+D/hpkzq23dKYKbtU5mcS8aW5NPB03XZDyFytACOBY9Lj+mqL75UXiX5tEF9eC6f9FrYAAjcD49LfVxCtnAeSaUXMKfc86UQJ/CzzOJp92Z6c+Xkz83feBcQtRL+tRuu+DdzSYPm3gMMavAZLAV8grr6vaFLP9xPB6i1EoHNzeg3XbLDtcKILQHbZmsB1xFX02q28hvWfhfT3HCe/Lj2+t4iWrhnErdG3a/+3UL9S54lGjy9nfUfPJ9Eq8zrRd+zj1H1pNti+o88f8ACwXPr7VuIW8AfIXEAWlL2Kni/kGZm/57jQKPt+yb5umcc7g7htVfjcpO0PIm7lbZw+A+OIC+9926jjYkQr6hPAFxus78pFRpnnk9kvujci+h4+QXRnKTrWQ8C6dcvWo0mgQ3RHaPjTwutQ+3kd+H76e1KTcocSre67AR9Nvx9s4Xhtnasb/QyqPmQAZvYJ4gpjLNE0/ht3v7yFcjOI4GM68eV5B3A18eFt2KHQzG4m+ukMJW5B/RfYEviKu/+z4Fjv5KxyL+6/NIEI2p43s3uIZuuXgNvcfdG6bb9IfKj+amb1/a8WJYKI4e6+ZN7x+lqrnUXTAIhj3X3duvLvBY4nTmbfcPfZ+jfUbTue+IBdZ2YXEYH8a8CH3f39BeU+Crzp7jeZ2TrEl9iCRH+ivxWU+wVwors/nFm2FvALL+jIbGZn5K1z910bbL8ucTv2NeKLdgrRUXst4vbvVu5+R8Hxsq/BrMW01mH33URfoLHEZ+9cd3+2wXZfI4KEPRus24FoGbjcCwaPmNkjmXquANT6To31nH6RqVypx2dmmzQoB1Ewt4NwKlvqPJEp/0r957tufUfPp5ntTfTfmtysLmn7jj5/ZrYP0bpziZltTwQRRnwef9Tk2IflrXP3IwrKXUXP67cJESBBtHQukFPmbqLf4DDg80TAuTjR8vhAwbGGAkcC3ySC1WnAccDh7p7b36uujhDPyfuAJevfm2b2LeK28RE25+jNDwE/Bx5w9y3zjpf20/bzWfD9hbvnZm5I77PDiTsvjxHnia8SXWtyX7uyzOzavHXuvmlBuaHE9+Mu9Aw+OBM42jN9ZBuUa+tc3XAfgy0gKys9mUOIZtil6bnif7e7NxwKbmbrER80B/Zy93vNbCvgZG+jA3sbdfwx0ex9fjqpHUVccZ/t7t8oKPdY3jp3Xz6nTMNO9KlM7sADM/uGu5+Qt76IFQy39sxoqDRi5gV3n2Bm9XOGGXGVv3STL9j3x2793tTB/0RiROJ+RYHcQGBmCwGfJd7DCxKtsHcDl7j7lCZlW3oNOqzf/O7+Rvr7LeYMdIYQ56ai1+/LBfU8q6Bcrz++Bsds+zxR97wMIz7ntXrOU7dtx89nm4+n489f3f6WIVoMH+xG/XKOUSbw2IpozXyH6IN3XQoqjvSCgSp1+1jc3V/qrTqmcqUvovqamX2BGAH+YaLR42IiuM8NVFO55YjRmcsQdzTO94LR8APVoArI0hXGycCf3f2tDvc1D7AfcXW5C5GuoLWhq2aLuvsrLWxnRMA3RytCi8f5IPGF+w/v8gvZIIh7F/HF8LQXj/IqPUTZzLZx97+2Wabjq5I2j5eba6fZCcLMViVOJtOIzqxT3f0PTcrc7O4fKFPXvpZaSDZhzhHARSPSNqFEy5OZLeLuk0pWtW1lR9w12WfuecIa5D3LHK/oedmEki15ZVTw+XvGWxzl3VvMbCV3f7Rg/Qh3f63B8i+4+4W9UJ/SFxlWIiVSNzRr9a3bdkti1Pjt9KShGAds5+5XFJS70OsyI7R4vLyMC3gmpVaDch2fqwdbQHYkETzNB5wNnNrpVZeZfZ/oID/F3X/VaR3TPkcSV8w7EH2rRpjZtkR/m6433XaDmQ0j+ktN9IJ8P9bBEOVOgrmSx1uV6E/wbLryHU3cQsxtRergllctNcMTxFXhp4gA9zx3/2FBubafz/T++gyz5yG7i7hQmVZQtFa+pdQqdWW2J5r17yFa5u5Jx7/e3T/WTv1bUfa9ki6C9if6UtZuR5xK5LrLvRWTXveniL4k2ZQE7u5btFuPuZlFWohGXzzu7rmBaCpb6vzSl4Gcmf0b+Li7v5r+X5RogV/LC1JzmNmq7n5/3bJ5iFQu+/RSXbMNF0OI1kAoTol0Zd7+ij4LBd0MaPK83Ev0XT4/s2x74BB3X62gXNlzRNkuRZ2n5xhMARnMOuFuSXTq/xTRyfhk4E/u/maL+2ipmdnMrslb58X9gk4iboseBlztkadmaWJE2qoF5a4l/+q36HjZD0J9uZZy96T9zEOM5sptJbLoi3duzrEKkxuWDD5yT7JekMjXzA4m8r9NJxK9bkU8R/d7Ts6zVK6WR8iA+4h0GbXjFeXgmUj0QxlC5MNZibhwuNzdVyoo19ZJxaJf2+XE4/oPPXnI1gLmJUYh31VQ/ltEq/BlRGfrS4kUARe7+84F5e4jbuX8wXpyL+0GvNfdDywoVzbXU9kv5oOJTro/Izo/r0j0FznTC/ovmdmOxPNyKXBQO61zHZwnPktd4Nisld7MDio41k+a17Y9ZT5/ZvbdRouB77r7Ik2ON5Xoh2f164paqEueW+pvx2aPNUd/vUy5I4iRqJsT6Sd+B/wJ+J67v15Q7mlgs1ojgpmtTvRRfcoL+oJZlxLK1j63LWz3DpE65M/0BHC14xXdWi3bzWAqMCp7wWRmQ4hGktzXtIOArOy5pfMEtoMtIMsys7FEbqm1iS+mk4Gf1K5c6radj0j2uRvxRfkmkWPlgLxAzszeJIb8nk5d4lV3/3FBvZ4mUk9MyTbdmtlkd1+4oNzBmX8PAmadYJscr9QHocF+xhIpRIo6GE/P1qvuWIWtf6lsw8eR9+Vscw4EyBQpvJp5khjlOpwYvPFu4uTykLsvkVeubh/tNLvP+rCa2TR3H5n+nuLuowrKtdUil67OL/a6mSDSuu8QI45zm9VT8L6Hu4/PBFZbE7cHvlL0+IiTpmfKDSM6b+cOHCnb8mRmrxN9lRp9MefeajGzR4FPZlvOzew9xAwfhYlTU8vj4URfliO89YS+bZ8nzGxPIgA8iZ7AcU8iyWTucS2/I7MXBX9llf385ezrSXdftsXj1b/uTVsvaDOQywQed9SX8ya3Y9Nn7XtE/83d3D23g3mmzA5EZ/yPEe/tw4n32S+blCuVULbBflo6n1nc0vsGkbj7VCKf3sutHqddZvY3ogU7OwvIpsC33f2TBeVmEiOo51D0We+wZa2jvnyDMiAzs/WJK8svEEnzaqM6vkOkepijWdzMfklczRxCzwnwSODf7r5fznFWJG49Lgfs4+7jW6zfs0Semhm1D0E62T/oLQ4GaPVqpkG5EUTfuMIpiRpcHY4gbmP9tcnVYSd9yGYQqTbqed6VnpXsP5G9CqoLllquf5sB2dPAe9x9mpl93d1/Y5HJ/jl3X6yg3DQyrXBZjR5f2n4Rb9CHMh1vsruPKDhe9nmpvTeNSKtQlHH/CeD97j7ZzB4kbpm+TLSo5j6fZVueMifbRl/MRSfbV4DR2ecnPS/Pt/FatjyaN23f9nnCYkaBXd39lsyy9Ynp1d7XSj1TmV6bIijtv2uDJMzsCS9ofU/bdPpl2XIgZzGw6eup3AnAH71J5/O68nsSqRY294I+Z3VldiIaDiYSibzvaaHMxsCviaB/H3d/pNU61u2n5fNZ2v7dxCjJnYiRkr9oo+wCtDg1Xvpu3o1okZtI9CHblsiEP+tOlte1AKeLtobTtnlxP8xsxoVXiDQtV3jzAVFtnasbGdbKRgOFxe2WrxBN/OcRQ5rvzay/hfiSaGQ74APe08F+gsVtmJuJAGYO7j4B+KTFvFUnm9mdwP7efM7LG4kParbF6JtE0tZWlY2kj6dnSqL3Elf7jdRPivoy8F0aB0xZc1yBtuHNZlee9Xz20ZerENOwDAGa9rkwsyXTtjMzfxfW32bv8DnUYsSZpbrkdvgk8r69C5jm7r9Jy95L3Bos8k6bX2zPESOYGqVT2DitL/KCmY129+eBpyzmxXyJeG6KXE0EYWcQc7hdTeTu+ntRIXc/18z+TLQG/NfMWm15eq1Zi1aO/xAJa7Mn7+8QfexyNbhAeZx4/W4k0lnkKnmeWIpIdJ11B9GS2xIz24VolXOL0c8tz/XYqjKfP8u/xdb2BWYbprUbyHn0WTrfohvAN4Efm9nh7n5OUTmbvYvIaOAOM3s+7bOwi4i7nxPXP/yUOEe3Us8bLebP3Bu4wWKgxQ+94PZopq7Z8/9wi75ZtfNZ4TR+xB0FJ97/7cYSJxA5yJp9D0F0t7iTuKCpBex3Ene+apw578y8XRR4FTiPuEs2imhV3RP4nZlt5e43F5Rr91w9h0HVQmaR7+ck4AJPw8AbbPMZbzD/nJm9CCzrmduTZjY/kTiw6S0si/5VBxAf3F+5+1EF2y4L1JpfxxAJ8+YBPuoF/ZDq9tHW1Uym3BPECJXXidtzc7TIWeRhGQfc5e4z2tz/p939L+3WK5XtqFOkmf2dmCJjGrCau29SsG1LOc9yyjXSrFyp0Uxm9qy3kSvOzHYmvhQvIr7Aa3nI1iEuOvZ294Z9/FL5UqlV6vZhxAl2QaJFp+FnsUG5dvLIle3n8X7i1s50IqgaQ/St26KoNcK6NJqw1fNEOpf9Jvvln1oTv+nuc8y/mrOPUnM9ltXq58/MTsnZxRebvaZmdkurj7+uXCct98OJOWsPIFpKDmiyfa2LyCJEF4wLgOuhaV+pbCC3LJGotaVALrOPxYjP7MeJmTMuaLJ9Xkqk3JZmM/sAcctyI+IC7OR0AdeyVr6HOtXp90ndvr5P9L/NPY+3e65uuI/BFJB1Il2lP0Ncub5p0afsWCJI2yanTKPO8osRCfuaJdGclxh0MJb4Yri02ReXlRylUrePSZ5udVpBnw0ze43IDdTWG8TMtiPmh7svs2wNYEV3/3OTst/0ggm6Wzj2c8QX7FvEFE+5/VG6eaulxbq9Q5sTvHdwrI2JW/ZrMnseslO8YALtnH31WmqVtP+yeeT+4O7/V/KYCxEDFpYhOstf5g36lXZLmfOERdqLvxNBdS2J5jgisW9LV/02e//Upv2zOtXO5y+nfK/VsUwgZzGAZ29iNPw/gV97wYCYurJLEIH/NHf/UItlynZ6bzmhbDdYT9+6i4nXOlvPlgaOtPo9lNYfTEwP2Kx1v75cS+mnWtzXPER/vu93Y3+5xxlsAZlFhvpd6Ekgd2azq4RUbjni9tFKxLQ6SxBzTX4y7wu67AeorA4+sNmRUP8lmmGHEBNiL51T5jbg8+4+sc06PgJ8JHs7Jp3Yrm0WNKYv/2fd/X+ZZSsSfX6KbgfWts1+ATXtj5Kzj1HepK9AGWZ2KjHq6kBvIxeRlR+FuCzR1L8gkfbiHu/FRIoNAqtZvLjPYamWJzNbhJi26LXMshHE7BOTm1a4TdZZ/rmyn9vliYEntVGWv2/n89iNz0M7Oj1eK2UKbne2NaKwxfrMIPoPzdZXKR2rKDn2UsQt+78Rn/kXiY79hXc/rGRuPSuZULZuH0sR01kV3ZKrbTue/LQlRaOG2/4eSuWuBzYgpqo7mRiZ3lLgkloM12POFD5nt1C25eckU6btXIyzlR9MAZnFcOr96ekUOZaYXuiX7v6zJmXXJNIYbEDPlfOt3kYnzjbquQTR/P0scb/6MqKvwc7e4sCANo/X9u25dLtqN2Lk6eNkhjcXBUd5twZaaT626LO3TYOA7M/uvkZOmWzfg5OI+/0GHO/FndAP8LqRiKlV4ix3H1tQzojWp0Z5ugpHsVlkbD+BaKb/utflHMop09YoxHQCOodoZXqVuGW5MBGYXQHsVHTV2OBqO3vAolGP2cBqe2LKmVq53kgQegMxyurWzLINgJ97QS6rsp89m71T+Gyfpd5ohSjLSkwR1OHx2v78WX5qjgO8edqLUiMKywRyFqlq8gKPooEjE4jcYb+zGGl8GLAXMcdsUQDep3kY0zHfBZxPzNn4uruPtMim/xF33zunzMbEhfOEzLKmF85lvocyZVch+ofvTHShOINoNSsauPUxouvGDOIcODn9fqyocaDMc5LKdZyLcbAFZE8A27r7nZllaxMjA5sNp277w2BmPySGy9+UWfZBoj9K7lWLmV1KfAnUOpFfSrw5t3L39QrK5eaBKor4y9yes/J9pR4EPuvu/80sW40IqlbOK5e2ywvmcl8bKzEtVCr3MHCSux9r0Wfuh8SIoW82ufr9CRGonkPczvgtMcrofHffP69c3T52J0bwXkjM35d7u8zaHIVoZn8k3lMH1gW2KxB9S8zdP19QPvu+/S6Rrwto62p71u2IFrZdyht0bjez/b1g1JaZTSImvc/mJhpKjAYtSstS9rNXKv9cETP7FzEh9I1el+Otg5bRjltL2lHm82cl5xhMZUuNKCwbyJVhZjvXn48t5pg9091XLyhXtl9k6YSyZnYB0aXhe8SI6EXSRctNeefrMhfOaZuOu4mkz/gniSD3/URL5K+8QcZ+M7udaFU+1npS8RxK3EYuOre0/ZykcqVyMc7GW5yFfCD8EM3Kw+qWDQNeaqFsyzOyZ8o8Q/Szyi5bkJheqKjcK2m7RYh78EPSz+Qm5d4hmr8fBh7J/Dxc9XOfqeNBxBfWlkTqkC2JK4VDWig7gWgizi4bQ8wO0O16LpOeux8TyYNvJFKRNCs3kZhRASLLP8AHiNxfReW+VPfzDeIL4tkWjjkSOCa9377aZNspwII56xYikim2+hy9UuJ5tWbv47rtHyKmD6v9/27gKuDuJuUaffYWItJXFD6mMp+9Tp6X9Lmd2einSZlaAHFV5ufKdl+T/vZDjPZdsW7ZisBGLZYfkj4/zxEXKwu0eMz/EP3yVm6zvksRI/A7fdzzNFn/OjEx+Ifrf5qUe5r40q/9v3o6B1/RQp2eB+ZLf7+SWZ57ngBezVle+B1KBHEdPX/p3HkNMXDkTCIwe4oYAFO//RRgaPp7cvo9LzFQr6vPSe15oaeRa1L6PYwWzvGz9tHpm6w//QC/IJq9s8u+Q0xe2qxswzdZkzKTiBw/2WVDW3nhMn+/0modiBxpzxMtF8PaqOdQItp/ML2RH0z/D+2F12AY0aoyNX2pTCWSHTatLxF0XEcMgx6afl9DTGfU6vEXB1ZocdtliX6C42sfpHbeJ8QFQO0DP6lJucfyftp4bO8lvqDvADbM2eYFcgJL4hb+i228Zya3UbeNiC+9HwP3tVHu++n9OBr4dKr/r4B5m5T7AzEic0j631K5ZoFxqc9e3T7aDcg+2OBnYyIHXV6ZHYluE78j8sq1c7xViQ7dEK24RxJJe1veR2/+EMHCCnXLVgTubXM/iwGnEIHrF1vYvq1AjkhTc3U6j01Ly75A5NwqfP4bLJuHuI1bVG4mMVCr/hzxvybldiCCsvcB+xK35vZr8Tl8gnRhU3tfA4sWnZcoeeHczmesrtyaRKvoy8Rggm8SA2Jq60fTIBgkuiUskK0zaZBTt5+TTLmF098PptfjXW2dW8o8Qf31J314ZhCtGNel39PT8itrPzll3yD6vtS3ZHyp4Hi3EUNhs8s+TmSzL6rnm8QX0UHEVVHt7zdaeIzLAX9ML/jHW3xejiFaIr5C9H3aneisemzddsdn/j4576eN12OJNl+/EcRtvGyLwoXAiIIyGwG3An8lvuSmpXJfb3KsjdLPF4mg8eDasiblHqidjNJxP0m0kL3QS+/p+ue/9gXUsHWF6PP3IDGw5f3EifL96f8HiD5WRcf7EhEMnA3c0kY9a6/ZI0T6lnYe40FEcPsMsGWLZcYQJ9mniamoniK+zMY2Kdfos3dws89e5v2yEXHlvWEr75cm+2x2pd5yy2imzMHptXiDCDruJnKsnd9L78/H0vM+x09BmVItLGmbq8icy9P/T+V9HnL20VIgR6SrOCVtPyktWwJ4pMn+S7VY5T0vLT6mndJr/gCRoLnVcqcSff+G0xN8/Bo4oaBMqQvnVl7fnHKvE61hHyzYZo5GF6L/2JfS3yekz8EtNGllLvOcpG1OJ5I5Q1wEPU3EIBe2+lgHWx+yw1rZzhv0pSjTgdMixcOZxFXsw8DKwNeAr7j7nwrqOT7nWHiTPhSZfWxGtBA8TFwNTSzY9jmiReWxzLIViFkIRmeW/c7dv5b+PiNvf94LnbTr6rsE0Zoz0d1fbLLtbURgPJTI3rwTERic6MX3+8v2kduHmA7oktSJ8xyideYwL5gLsax2XweLOd6+TwxmWY6ejrNPEAHdUV48ifZjxBf6Y0Sn+bs7egAtSh29dwI28RZzGlnkCfwU6eqcSF9RmAyzbP+lsu+XJnVpaSSitZefreMpwdphMd0PxHvsRKIfJgDu3jCJdOr0vqlnRqem/kXXecGAmrRd7jm+0Xk9U67t1BAWyVzHeKRByo4gbTbdWdkpkDrNw7gTEYRv5u4PtVhmUeAvRJLV+YgL2ruBT3vOaGWL0cynE3Pz1p7TPxEjSV9rVCaVa3tqvFRu4by6FEnnhyHu/ppFGqtvEy1kv3D3FwrKtf2cNNiHEQ08C9FOLsbBFJBVwcw+QTSDjyW+FH7j7pf30rHqRyfNQ3QwX8yLp8N5hmg5mJFZNh/RBNtRIrsGx1qCuHVUG4U4S6tfXGY2mjTUv9mXs8UcigsTAdmr7j5/Wl540uwWM1uGaN5+sOnGfczMRtHTRN/1VB7dUPdFuRFxW+IhKB7V2cHxSo0Q6/CYeRNw3+b5aWfK5mfreEqwsqz1uRCPIVIRfJVoUV2ZGBxzl7c4MKZE3doO5NIgsVU9pjurTSO2KHCHFwwYSmXLTIFUKreedSeh7DhgeWJE/e3EZ3EoMN0z03fVlWn5wjlt3/LUeGZmnglOLNL4fImeFDDnu/uTLTy00tp9TsxsG3f/ayfHHGxTJ5XKht4Jd/87TaaHaSRF0OsTb7AniJNzs+h48wbLJqSfIr8CjjWz77j79BSM/Yzoc5dXvx8AZ7j7U032Xe94YuTYV4jUB9sT/dX+0KygRW6pc4Ct0iI3s8uBL3tBqobU4vOOmWWvQppNgdRRHiuLedyWAZ7q7WDMYp7T6e7+lpltRbR6nOMN5qvMSkFYW4GYlUzC2IEbM3+3m7R2cxqnHynKR3Ui0CjR80lA0Qixb7j7Ce3UL+MpciYdLihTP3UZNJ4Oaw5WYkqwPnYY0cJyP7O3sPyg7A7N7ELifXCHN8ikX9R6VuBK4ryZnaHiCJpPd4aXmAKJmO+0jNIt8zZ72hKI4Hhl4rbdBcQgmIYBWQrCmgZiGS1NjZdGUj5M9CusXURdQQwOm0C0XP3AzLZ09xsL9jM/sCvRl+xK4m7WaGIkfW7LfwfPyblEi1h5rd7bHAg/RNP8Ww1+ZvTS8fYGxtUtWxfYq0m5ZYn72dOJaH96+n+5XqrnI8RV0xtEtP9G+v/h7E9dmfFpm38A/0eTEUKZcs8D70p/T06/lyNyujUreyaRhmAV4kpkFaJv2JkFZd6ipz/JjOzfTY51A7B+3bINiNsmReWWSM/JO/T0m7qi9ph74bXbnci78wLREvsM0TdhjlFFXTre9en9+Bdga1oc7NDXP8C3iL4lf0zv5z8StxbOblKu7AixTvr3jMn76YXnJdv/8p3s7z54Tdod7LAEKWlnG2UeqT9vpZ8Z6TnN/RzS5mAHoiP39el99TbRWf46Mh3KW6jjG8RF0Rzn2EbvQSJh6r7Aor39eqVjzqTxYKO3e+FYLfchI9MnF7iJuB2aXb8r0eWmaB/nEo0dT6bvhNOJoGp8bzwn7Ty+vJ9BdcvSSmZD7+B4jwNre6b1xiIx5x1enFz0YuLWzL4e97dHEtM0jXb3bUvUY18iMv+fN5in0AoyhWd5XdLC1M9sFyIZ34JEi9fpnsnz1uBYrxC3UN3MngVWSo+x6S2TdGv1fZ65vZZasu73nFurHfQpeQVY3NvPY3UJcVV/AHE7Ynkiv9ewMq9dM2b2KHAo0WJyItGB9h0iwO3q7ebMMdtOwtjBsfYmBg/ckVm2LrCuu59YUO4RYA93H289OX+2BrZz968UlCvVf6nT/j3tMrOjvcmciTnlxuSt66XX7y16WrmGEe+X2vG6OiVYOl6jc5kRObeKEkEfTOQanE7cMdiKqPf97l7fIlJfdl16pri73Zt8aRadb+vPsXXlRhK35XYjRhb+mZju7JomxyuVDzNt1/B93Ru3uK2NqfEs8kSu43G7eBKNcw6+5AX5Ds3sJSIIn4c4V48gXvPnmpzjSz0nZfvIzbaPwRSQAViJbOgdHGuOfkrpVuSrRSdvM6ulJngjs2wB4l78uwrK5WWb/jzwdaJvzFXtPIZWmdlHiXQbH/PiPiw3E8/7HWZ2BT0TXO/hzRPDPgu8xzOJUlM/qIfc/d3deByZ/T4DrOLu0zLLFiJGUI0uKDeJmN+0vtzjRSeHDuo51d0XrH9f9VGfoJaTMHZwjLIXNdm+UrX+PUYE1EVfzKX6L6X+Lw0nZfcWpuxp9/ZqX7y+3WAxu0VD3uKcm12qR+EACetwsIOZLe7uLzXbrlss5v/djUhpMYVo2TnV3V9usG2jc9mCwINeMCVR2q7tZNxlWRtT46XGlYnu/qN08bW9u9+eWb8ecJ4XZ9zP9qGc5D1zZzYLrEo9J9ZGH7k8g6oPGYC73wZsYJEN/erUt+Aw753Jgx83sw199lFPGxDNpEXeBEYRzdk1o4hm9yK50zh5k7m50ht4N3o6RZ6enqtC6Uv5U0QT8aZA7giv5CAi+V7t7wuI1rtWsmFfBZxjZvvRM/XVsURzc1Ed6zt8nufN+77dCPzEzPZ193fSl/mRNO/H9AIwP3Ebo2a+tLw3OMQnOrVG9AmLTN+fI26ZrkIEI48Bp5rZX9z961061MI+Z//AV4gRhUVeMLPRHoM+nrKYNuklor9UkbL9l5xoIWmbmX2L6Et0GRHgXgp8gpicObdYyWMNJVpvdyEzny9wtPfCNHB9GXR1aGF3/xeAmb1eC67MbN68Auki+ZfE6N95UwvI2cTo49zRhKls6TkUk0np53Wi+8aWwCEWfRnrW9nmT9tlvU6kTWlmfjP7B9Fy+DxxAd20v29JJ9F6/80fAreZ2eLEd87lZnYiPd8LX03bFBluMRLegGHZv5uUK/uctNRHrlD9PcyB/EMH2dBLHm9P4oS3F3H1u1c63tealDuOeJN9FFgh/f4XcFzJejTLZ7QtEfydT7yJzyM+sJ8pKPN+otP/8+kx/oS4CuvN129Roj9Wth/M34nm6rwytdxjNxEDAv6V/v9Qk2ONoVweq68Q/es2IW5Xbkrk4NmNyOi9FLBUF5+Td4hAfUbd373SJ4iSSRg7ON491CW5JfK6/bdJuR/Tk2Non/R+fpUmuYIy5dvqv0RnfcgeIdJ5QE8+q62J28BdPR4t5hzspffOe4jWp2uANXrpGKfn/DTrAziVGGy0NBHo1P7OLUfcqv9Xeh5XJNJY3EAMdio61seIVq0XiT6utd/N+pANAz6bznlvEBcKH6fnTtaHgZcblCuVDzNtdxgxUOHnxPfCI8T5861eeO3y+m/mLV+aaBm8j55+XA+k5+f/WjjeREok4y77nDR7D7byM6huWVrJeQ07PObXmDPtxW+blJmf6MewM9GaVLvy2s+b5FHK2V+z5vr/AAd7Jh2HRbqOo9x9zZwybxAdu88kEunl5q6qK7dR3jpvMa2ARZqAZYi0F8822fYmoin/9MyyXYlEmh9oUrZMHqvs8+DM3pJR+9+9SxNO9/UtITN7nbgaPMVTi0KDbY5192936Xh7En3kfkTPLcSDgJ+6++/a2M8HiX6O//BeOKl10oeszO3V1Bp6baN1XjzJe0s5B3uDmf2daCmeBqzm7pv0wjFOyVn1xaLXx0pMbJ36IL3PMykdLCaefsDdc1twrfwcirXn7jRyRjqb2a3uvn7dslL5MAvq8QWiv/DhRLD0q3b3kbPf0vnnqtbKc5Je43O9hVuyuccZTAHZQJNOyksQJ+bSL0QLAVmjTpFDiFFRC+eUWcSbTGSdU65rCTRTc/VC2Td4g21Kdfgsywo6TWd5L3Sg7gtWMgljh8ds+6Kmr5nZp939LyXLTiAy+j9vZvcQt+9fIlLdNOxcbOUHq/RZzsEGx36OuLh5i+hTuWxvHq/u2E8WHa/oc5v3WbVIFr66z9k3696iAMLMphCjJGea2WR3XzjdGn2kyXn6ECKr+yOZZS19oVuX82FapH4YDrxWJqjL2Wfp/HNmthxx16t2G/73rZ5jrSev5RNekBC2hf0UPidWctL1rEHXhyyrlS/0LhxjJHH7oZZP7PLsBzinTH2iyCUjNgN3f6agXH226ZrcTszJ40QzerYv1mYU9HVz90kpsFmZOftBFOV0e62DloSNiJbD54jm4iuI+/n7uPtvcoo9D6xDJO6rWYcmfbpSMLw/cUun1vfsVOCXTVoD1/QOk/+1I111NeQtjtxp01a192KD453fC8cjtYS13BoGYDEKK29/LSXDbNMnzewZb6HfZQMXEJ+384n32LXEaMTc/kRFQVcTv6LNnINdNI+7Twcws76+0i88XskLpEOB083sQOJcOYboC9isv+HrxJ2P14GXUzAxiZjQvsgXifdIvcIceVA+H2bB/nrjs16q/6aZbQlcQpzjJxLdKg41s+28YICRlcxrmaeF52TZ+ljD3Se0ehEPg6yFLO8LHSj6Qu/keKsRHdFn0tPZcCgx3Pi+gnLZ5vNZi2k+bU/Zq+bPEp2y/0TcQx9L9FX4ct7Vj5mtQ3Q6zk6/40Tfpdzh7NbB6BwrMQ1Sal05gjhp1R7bV4mpSnJbWSyGwe9GfFlNIPqIHEjkPMtNtNjJ4ysj3boan/79MJEXCeK90huZ7GfSOFB3z5lCrMPj5bYYZG9tNCj3BtFns1G53NQCZZnZ2cRn5lEiA/u5XnL2g1Zvr6ZbjV8k+iR+wyIdyXB3/29BmUeIwGEmcVHyLuLzNDG7XbeCVps9ieZJRL9aI+bFbXahWOZ49bOV1BxQ1CJu+SPU8fyRrm8Rz132NTIyqT1S+Xnqyl0EXOTu55vZCUQ/1+nAlCa3mxvOLtLKOcfMViXueDxnkUrm3US/wX43Q4e1n+H/XqILw/mZZdsDh7j7agXlziQaK/an5xx/DPE87dLBQ8g7Xse3ZAdbQFZqXsMOjncVMVrvSHf31OpyCNGBd7OCctOAhm+k3rrVlYLVL9PTGnRWUTO4mV1PjC45lPiCXpYIcm8sulKwGPp7BnECeoXohHlFKycGKzkNUvpw7pJ5bGe6+++bHOtR4JOeybJvZu8h8vnkBh7W9/mosv2PJvXGbdi84/UFK9G3J5Xr87QQFulNdiA6zL+PmLz4ZC/IFt7BsTYnLoiuJc4nC6VA7hB3/0RBudwcWFndClqtj/vtWvm5SGcAtce8I5kUJu7ecAS4FfTfrDvubH05zWxD4B5vfw7FsjnySudYq4K1MTVe2n4qkcC3vsvNlKJzlZXIa9mJTm7JztrHIAvI+nReQzN7GXi3Z6awMbPhROK5ok6fpb5MzGxVr8urZpGe4Bh336egXNv9wSz6Zr073fao9YMYSby5VioodwaRemBe4upkVSItxFbufnOTY2bzxmQn8819vqzkdFkWiWFHN3jtnvfipIEdJ/9rR+29m05AbxKpOX7S5LZqJ8fri/xm+wALuvuP00XNKsSX1mwpVdz96YJ9TCNuw88gAv/Hi1qbus3M1iI6X69FdKQ+jhgIMUdqiRRENKybu380Z/93EANxrrCejuHzE60Kvdo5fzCyBgMrWihTduqdsuf3sjny+nRC+bIa3UIEmt5CNLO/EV1Jrsks25RIP/LJgnJ9ltcy7bvUpOuz7WOwBWTtfqF3eLwJwJY+eyfMlYlRiblXh2b2JnGbLduKdGuzLxQzexrYrNaqY2arE/1TnnL3LQvKtf34LUb8LJsCsseJE8UUYth1K/ltsvv6PjEsOzd4SttlR5ZtQs+tuk3qbwvUlakZQpyIIFpYim6t/hP4p7v/pK6em+d9SaZtOk7+1w4zu5sY3TOM+KA/QwS6O7v7A71wvLeItAXZ9+ZF7v5oF48xAni0dpVqZp8DjiZe+++2eBujPiB9jZg+6VvuPrVbdW1w3CWJL+ldiQuN04hb5d8iOs5/tkGZgzP/HkSkkAHA3RsG97WLoPR39lzWNJiwmPtvZ2KaoE9ZTJI8ougCZSBJdyLamgfYoqP9wsTn6A0iuNrXC/r7mtm5RDcBIz4HTxHnl5W8YARp2Vbmsl/oVuGE8u0oewvRzH5JdC/5Mz1dg7YlPnuzkvVmz+Wp3NlEfs/6vJZT3X3njh9Qfn3buiU7W9lBFpC1/YXe4fEOJZq/j6LnBT+QGAFS1KdrPPEhr7UijSE63m/t7g8VlNuBuG34MSLPzOFEX6lfNqln2ycIiyHsv3H3S83sLOKq63WiVSk3tUXOvuZJ9fx+k+1K9ZHLlJ/kLd7SM7P3E1e904nnfiwxxcYW7n5PQbm+7kO2FdER/B1gB3e/zqKPyJHeO310DmP2Fs7ViE60n3f3ppMqt3iMxYC73X2ZzLL5gYOJQRY/JfKJFSYyTV/MtXquTnQX+K+7f7Ub9aw71qeJ0ZEfI/qNnkykSXknrV+QaBkf0WQ/Lb1HLfrNbO/u91lPqow1iRxY6xSU+xIxU8m5RMvDKIv+oL8oCiLKstmnTppNN865FgOLznT3ndL/ywJ/I24Z1/rIPQB8yt2fLNjPzcCdxN2TVYk5I7ckUkM0nLTdyk+98wY9felm4y0khm33Cz3d0luF+Nzel+o8hMjU32fdD5opewvRCm5TZ3j9hbSZLUoMktiCnvfolcCO3mDGg/5gsAVkHX2hlzjeUCIA24WUN4vop3C0u79dULR+PyOJL6GVvKB/SNp2J+LLYCLwhaLgIVPmdVKCwfp1eVfNZrY0MMTdn0xfoEcR/SAOdffcEW6Z8m31E+iGVm9FZLZfiJ4Rsk8SX7CFMzqUvfrtNjNbqZutVk2O9WXiNs26XdrfngDufrLNmbduJSIn2RRvcah4Zr9LA9d6L4yyNLOniCvyU/O++M3sW+5+XJP9tHq7bA8i4/6RwG+IFoLDgZ+7+zkF5f5LBGK3Z251zgM83Ru3r9K5peE5y7uUJ8/MXvbUBcTy5wF+l7t/pmAf6xG3lR3Yy93vTRc7J2cvDOrKlJ16520igWy9OYKGbrCS/TD7Wl/fQswcY0l6vosK81pWbVAFZFVIJ4RP0ROQXVbmlknaz+9qV4JNtt2JCOA2K2pRy2w/k2gFqg/I3DscOZeC0iPc/ZD0f6l+Apn9lZkGqVa25YDMzE7OW+fuexaU6zj5X39mjeebW4UI/ptNVVLmeLl94dw9dxokK9m/pywzG+Jd6LfX5nt0D2IWguWJC7BfufupTcpkA4day9oQIi9fyxcrreqLFmOLgQMru/vbVnIe4IJ9L5p3XkotXbsR583sCNJT3X2Bgn32dSt62znWqtDJLcT0PbMB0Y3mwvSae/Z9UFD23aT8Zd4g2W5/MugCMiuXO6vssdYlgo3XieBhOSLNxlaemQi1oLwRHedbitothrTXXrBliQ7Nz0PxMPayJ4gUHK1FtIzN4nWjLOu+BM6kcT+Bl73JPF8WfV+uIKbTmUBMK7Um0f+s0RVn7RZNTfakWZg3JgUC9xIjSWcLVIvqaV1I/tcua3Ni6g6P1eePrwwr2b+ng+PlfmE0uw1V97ldgZiiq1a26HPb9sWeRZb4fdz9pkxAtjHRar9hUdkyUtCyKz2DKx7odou4mf0FONvdL0q3vdbJfrGmFpDb8lq6OjjuRPJvxxb1Ee4Xrej9TdlbiOn8cykx3dUwdx9pZtsCn3P3HQvKLUHcut88LXKiu8HO3kGC2N40qAIyK5k7q4Pj3Up0eP5ZZtmBRH+b9QrKjSSaz3dIdRuR3mBrFt1atYIh7V4wjL3MCSLdVjoBmEx0mM4cavZWtXTiWt7dvaCfwH/dvT4hbv0x254GyfKH3Re2/qVA7uvE++ME4I/ewuTL1kGuoDKsYGLqZleVJY/X8HH09VV/M1ayf08Hx5tJJpDK8KKgKpVt+3Nb9mIvnUdOIc4v3yVuc+4H7OGRPLSr0me/1pdvEaLT/HVEf8eu3B6ySD/xJ6IP3+ZE4ueD6Wll+SExb+M3C/aRl1S7cCqqkvU9xt2/0819Njle2STXlbA2psZL218O3EK8zi973IZfmOiHmts6aGaXEK/5AcR7ZXmi680wd9+2w4fRKwZbQFYqd1YHx5sKLOKZ/mJmNoyYQLgoP8pJxMSphwFXpzfY0sBV7r5qL9TzD+7+f22WeZK40r6khW2vJObFvMbMniduL7TdT8D6eBqktP91iAm0Pwwc7gX9c9L2fTofW2pd2cPdx1tPn6Ctge3c/Su9cLy+fnzX5K3z4tGupfr3dFDPvs7PVupiL223ObPf6jzO3a/qxerWjmvEBOM/At5p95zTZN9bEzm2VmD2Fu03iH673/GCeWitj/sX9yUrmeR6oEgXX+9Ot6yzI46b5aecRNzizE59tRCRIqdX8zmWNdgCslK5szo43g1En5W7MsvWJrJUf6ig3NPAqu4+pe4NNmuoe0HZxYgUFPW3r5qO3knlF3f3l1rYblKrb1oz+wxxRf5pYF+in8D+zN5P4LWi5uW0nweJ5uvbM8vWI/psvaeVurTLIvfY9sRV1BXufkCT7TtO/tdm/dqemLrD4/X143uTmFnjdCKJ8yyekxIilSvVv6eDenYyA0Xbtzs7uNgrlZevmyymrPujFyRq7XDftZGsb5a5PZou8rYnRiKe720MwOqPrGSS676W7mbktVIW3c34H7C+u7+UOQcuBYwvap02s4eAjX3OyeFv6K3vk465+6D5IYZBz5v+fpwYEj0vMK2XjvcDou/K4UQ/iiOI5uIfEB3TvwR8qUG5Z4l53yBysACMJDodFh3vY0QusBeJCXxrvx9uUm5e4NfErceZ6fevgfkKypxMpOFo9bnYK9XtZaIvz8z08w5x62WxFvbxtfQa/pD4sj2S6CO3dy+8dksTCV4nkhJ8tlhuBHBh3WO8kMjz1BvvsQnEgAGIvnUbECMRX+ml4/X146v1D7mHSE/TarmJRP6vOX56qZ6vdlD2nfRZfZgIcms/uZ9bYpTeWnXL1ia+TJod660GPzN643mp4ocIvDcAPkfkI7M2yx+dzsFPEKl9Kn9MHT4frxBTamWXDe+tc0QH9dwh/ewITMv8v0OTcscAfyVuc74CLAb8gUj9U1TuK0Tqq02I1uJNiRyLuwFL1X6qfl6yP4OthaxrubNaPF7utCEZ7nP2ufojcJ+7H5GJ+L9PtJrljrK06LD7e3c/NnP76lAi4MydPNgisd4HiTxNtSbtI4F/u/t+OWVqc/ddQ5y8sg+o4ShEi5FvqxFf6ksSweoj3sZVrJWYBqkMiwSvD1CXXBBam1jXOkj+1w4z+zHR/+58iwz3R5Empnb3b/Ticfvk8WWO90liAuw7gf3d/ZnePmY7Uktew5kYvC4hZYOyhxC3xX9BzC/YtEXGzH5AtFKeSk+evN2IC6UJmWPXD7Dp8w7l1reDTvLykG3jBXOf1u3jMeCjwFSi71nufKoDgZVMcl0la2+08fzE52D7tMiJwQF7uPubBeWy/edqfcrr/3fvT6lBBllA1lHurL6STiq1vjNjgIeIzskf9eLpYqYAi7r7zMwt2XmJoCf3pGKRaf8DnulAmZp8b84rZzEFUkNePAoxm/ai9uZqKe1FX95usfwRVHME0P1Jeo4WBC73wfThBSzyZR1ABC+/cvejKq7SLJafnNJb+dKzmET9WGANYjaBfzTZvuzFXl+nXOjrQSd5echGe4sdtev6HD7p7st2u559yeZMcj2GuCtSmOS6Su0EZJkyixEtXY+3cpFoBelAsrw/pQYZZOf0ASMFUp8irnwfBy71JjlVLBLrrejur9c6XwOTgGeKrorN7EWic+ObmWXzA094l5NFpkBuCdqcHiOVLTUN0mBmZhsQt5dvIr70/kqkGNjGu5R4s0o2e0qImsWAhfvVlWukjnjW3SdklrWdf87MNgOOJ25f7ufuE7tcz74OyPp60EnHecjq+u0+MdBbyGBWZ/W2klxXqc0WsqO9Sd/ewWJQBWRlOs8OJGZ2ETHy6nwzOwHYmLgqmuIFQ7fN7M/EHIj7u/ubZjYfcVW5rLtvU1BuJD0f8ieIVpncud9SmVLTYzTYz6yr2LmZmf2bSCNgxATC+xK3hPdy940rrFpXWMlULn3NOsjPZmYH1S2ah7j9uJg3mWqpRD2zgx1m08qt+BLH6+tBJ08QHbzbykNms0/xNIy47W/EHZV+E/h3k5mNyp6Hq5bzGgDF02yVvcgws9Pz1vXG7fRuGGwB2SOZf8cSHX+hhVxBfcnKZ4mfnziBvJaCqv2J21e/9IJEd+l2yWVEZ/AXiRas2sichs21ZrYakURvJj2jJYcSzeD3FRyrK9NjlGnSHoxqt6mJ534acStiCPCCp+lkpPflfSm00mer4HYn3uWRiH19Kz611G/k7s+b2T1ErrCXiACpN/LBHUd05K/PQ3a7u3+roNxH8tYN9JZmMzvA3Y+uW/YR4CzvhVQ1ZZnZJuSPssx9DToIyN4hGhKuhDmSf+/R7v76wrCqK9BN7r5y7e/UwrJy0fYVGp75e3ugnU7rX05Bz5XEqKvRwAVEB9eG3P0JM1uLOJHVmrRvTX/n+RWRTuBId/d01XsIkd5is4JyVwHnmFn99BhXNn9o0sBMj4S1M83sttRvbKZFCoQBz8x+SAzPvymz7INE4J+bO6oCL5rZcj5nframkxR3O+hqcqyxfXWs5ALifHA+0fH6WtKgk1463veIc9NlxMXJ9HSs7zUpdys5U231Uj370h5m9o7HYK+hRID6VfrZY3P38SWLLmA5+Qqb9N/8MNHdY1kip+YjBdv2C4OqhSxroLSwtHNrzszOAz4E7U0XY2a/9ros1ma2I5EwsmEri5m9TOR0eyuzbDiRCT23ZcZKTo+RypaaBmkws5i94Kvufm9m2fLAX5vdKhsI0i3uVXz25I0LAg+6+9LV1Wx21gv52cxsX2Ah4H/ufm6XqlqpFEwvCPzDe/HLJV0gLkHcGm16HOvjqbb6kpktQwTCfyBSI71FpJLoN53VoaM7Q28QaZUalSvs1mAxj+veRGPCGcAPvSCBcNUUkFUonVQmeZNksJntS00XY2Y3A7e4+7fSl91JwIbEnF55c0ROALbMXlWY2crAlV4wj1tm2yVJrXHe+lydpaZBmttYTBuyxEC44mvG8mdneMULsnD3NTMbQSSv/Tw9Fxp/AnZz99dyC1LYl+XzxPRdz3ofZNLvC+kLcLi7T+/FYxg9rf1PELdHC7/Iyp47BwqLkfvXEoHmpr0ZDJdlkWrovEbrvHjkfscDVawn68LHgQPd/YJO9tdbBsVtj5q6zrPzZf/3JrmC+pKZbUT0A/oE8QFq1Ty1vmKp78r09Hez1/HjwJXpKnEjYl6wtZp0+DwLuMzMjqLn1uOBRFN/UykIa2suu1YCPQF3n0zMMToYPEq8P7PzLH6MTK6t/iAFXV8ws2/Qfn623DlSfYAPNrLICP9D4rP+WyIR5yJmtpO7/7EXjtcwD5mZNctDVvbc2e+l7xOIVqBTgINq/Ra9jRHAfWB6UeBVYI4BKi0VmnP+UiO+d88jbrX3O4Oqhayg86w3udfcp1JnQycmK/6qu+fO51dXrvR0MRbDoq8C3miliT61UhxIXZJW4Ggf4FONSP9hZtsR76vfEakgViZmbPiKu/+pwqr1OhsEKRfMbDzwKvFF9z6iFeIdIqXH6r1wvFJ5yDo5d/Z3NnsC1Cz3fjSCtIPO+Wt5ZnrCNsoNuPlLB1VANtgVjKAqbF3K9M1ahDhh/p64km3YNytdNe5PzMmZmwlZpBvM7BPArJYnYraNy6usU18YJAHZZKKVqjZVz7xpeeHEzx0cr1QesrLnTumeFDi+RQzEeIXoy/f7VlqJzWwFIu3P0u7+9dQyO8zd/9ubde5rgy4gK9O/YLAr0zfLWpjoXETKGyQB2axWD5s94WqvJKi1knnIBjOLPI8zsn0ZU5/H4al7Q7+QUnEMIUbHLk5Ms7cbMZ3YzwvKbQ5cTPSR28TdF0qDRw5x908UlNub6Dt9R2bZusC67n5iNx5Ttw2qgCyvfwFtzHMmwcwuIaavGdA5eqR/G4gnzXY16MtSs/EguF02g55+pTvTk+7iy7XWsi4fr1QessHMzG4Avu3ut2aWbQD83N1z86/1B2a2PnBB0aAtM7sDONjdr7Ce2SDmJ1pFRxeUexxY2zNT9qXO/Xd4P8rPljXYArKO5zmTYDEh+a7ESLKJ9Exj1K8GSMjANhBPmu0aiH1ZWmUl57zt4HjzE3nIdqYnD9lZRJ+1wqnnBiszewVYvMFI5RcHwghSM1vDM2l9GqyfdbemrhW2MJNCo9vm6Q7aq94kmXNVBltA1vE8ZxIGygAJGdgG4klTqpNuVT1HDIhagph5ZAXanFN0MLHGufwWAh4pakGqQrqL9SV6Boqd7+5PNilzL7C9u99nPdNzrQmc4e7rFJS7hxg09+/Msg8Ap7n7at14PN02pOoKdNmbQH1H0lHEZMzSBnffNOdHwZh00+NmtmHdsg2I/p+Dgpmt2mDZPGZ2fBX16Q1mNp+ZLWtmy9V+eulQJxEXhe7uL2T6B5/US8cbCG4EfmKRA652QXMk8K9Ka1XHzDYmuhB9mvhe3oZIWfKhJkWPBy62SGY+1Mw+C5wL/LJJuROAP5rZXma2mZntRSTPPaGTx9GbBlsLmfoXdJEGSEhvM7M9gUOBH9GTAf8g4Kfu/rsq69YtZvY0sJm7P5j+X53Ig/SUu29ZaeU6lEa/nUsE0bPpjZQLeYMFemsQwUBgMYXXNcB8RMvh8kQjxEfdfWKFVZuNxawjp7r76ZlluxKtWB9oUnYPYB/isU0k+jef2sIxv8acI7h/W/Ih9LrBFpA16l9wNtGnbK7sX1CWBkhIXxloJ812mdkOwM+JhLcfBw4HjnD3Zlf4/Z6ZXQ5MJS58bwQ+SLTO/M3dz+yF400gMtHXzyl63WDpc1hG+u77FDCG+Axd5v1siiDLn5XjJW9x+sDBblAFZDWpZaflec5kThogIdI9ZrYTcDLxZfkFd7+n2hp1h8Wct2PdfWqt87WZLU4ESF3vp2O9MKeo9A0ze5CY0/j2zLL1gHPd/T0F5XJvfxc1DpjZUu7+TIPl+7v7L1qved8Z8NNG1EvB2AbAMsCTZnargrJSNiYzQMLdp5nZfsQXikjXpGB/a3pujV+e7aA8GLj7OXFq4qdEy/1g8Q5Qu/swzWKe1VeA3upDdhgxp+j9zD6n6A966Xj9XvrO2x/YnZ7O8qcCv8y2RvUDxwGXm9lJwGNEi/hXgWYjjScSr3VtCqXa3w4U3Ra/1sw+UstZZ2bvBs4h7vYoIOttZrYi8FdgRWL0zRLABDP7tLs/WmnlBp7aAInsrV4NkJCuMrPViCm9ZtLT7/NXZraFu99XYdW6xsweoSd4WAy41cyeB3D3VSqrWHf8l7hNeR0xR+4vgdeIL9yu887mFB2sDiISrP6MmAN2RWLau/mJvpn9grv/zmJmh12AzxKB477u/vsmRV8HclvQCpwJjLdISPsBYp7P84FPlthXnxhUtyzN7J/EldOB7v5GSnlxFLCGu29abe0GFg2QkL6QkqbeCBzp7p6u9g8hMnJvVm3tusPMvpy3zt3P6su6dJuZvR94J6UkWAE4EViI+KK9udrazR3M7FHgk7VBI2nZe4C/FyVc7Wtm9uG8de5+fUG50gM2zOwgovVwBrCbu19RZj99ZbAFZK8CS7j79Myy+YDn63MdSTElYJS+kPogvdvd38osGw485+6LVVczaUXZL1npnpQYdnSDz9Dz/SkxrMVclm/Tc+uxxt19noJyHY2gTUHZTsRF3vNl99MXBtUtS6K5dilmby6v/19asw4xMmwvZk/AuDYwVyZglF4xmWh9fSSzbCzwagV16TUWsw+sR3yWZn0heQsTK/dz/8z8PYSeGT0cyP2Sla76D3AAkJ1B5TvAXZXUJt9rJZM9D0m5CusDOYqSAdvsU5YtS3QVeCiV26JEPXrdYAvIzgT+lkbiPE6c2PcDTjWzjWobza0Zndt0EpHiwom0F6ROyScBa1RYLxlczgIuM7Oj6Lk1fiA98yMOeGb2MeAi4rbJwkQQujBxoTigAzJ3H17729I8g1XWZy61H3ClmX2Vnu+9eYD+FnSUvR23AI2T3Dbr1H9j5u9+lSQ3z2C7ZdnKiBLvjYSFg40SMEpfSHmIDiQ6+i5DdPQ9Czja3d+usGpdY2a3A79392OtZ3LkQ4Fp/XX4fRnWZG5B6T0WUyXVRio/SeQh61etzPruaG5QBWTSPUrAKH0lpb34FD0B2WXuPrXaWnWPmU0BFnX3mZlcXfMScw32VnqIPqeArBpmdnLeOnffsy/rUsTM3iBGgza69Xh+QblvuHvb0x0NxP6NgzYgM7PF3f2lqusxUCkBo/QFM1sXuJwY2v4kkb9qfmCrbALJgczMngVWdPfXaxc6wCTgmZJ9avoNM/tS5t+TgD1JX7hFX7LSPenO0L3AHdQFO+6+ayWVasDMJtL4tqUXjQYt27KWnpeZOcfrl/0bB1VAlkZUHgPsSszr9SaRRPAAd3+zyroNNGY2gnjuPs/sCRh3S7mARDpmZrcCF7n7zzLLDgQ+7+7rVVez7jGzi4jHeL6ZnUAkXZ4OTOmvnYtbZWZ5A6YKv2Sle1JQ/HXiPH0C8Ed3bxSIDEhmNrXMhYuZnQpsTqTBurD7Neu+wRaQ/ZJIUngIPQnyjgT+7e77VVm3gcrMlkAJGKWXmNlUYJFsfzEzGwZMGuitRzUphcyQNAXZfERepAWJTOovVFs7GSzMbB3gm8CHgcPd/ZyKq9QVZjaDmMB+Du6+W5Oy6xFB6uvA1939/u7XsHsG2yjL7YAPuPuz6f8JZnYfcDMxEkXalIIwBWLSW+4CVmf2Ifpr0P+G7Hfqy+nW5ZVE6pjRwAWkEcwiXXAvcC2wLvD+iuvSTU6MHm2/oPttwAZmtjtwtZldCBzW3wY81Ay2FrIXgWWztyfT1ekT7r5EdTUTkUbM7AdEP8VT6RmyvxsxEfeE2nYDuT+SmZ0HfIjo3/MA8BSRr2sld9+kwqrJIGBmSwN7AzsQeeF+7e53VVqpLuqgD9mX6hYtSozoHu7uS3alcl022AKyPwPPAPu7+5vp9sCxRJC2TaWVE5E5FPRByhrQ/ZHM7CVgVSI31ERgBHHV/5xGJUqn0i29B4DTgNkGsg3kC5maDvqQ5Z5b3H35zmrVOwZbQLYccBmwEj2Ti9fm+SrV5Cki0onsFX42earyMkk3lB29OFCY2afd/S9V16MvDKo+ZO7+hJmtRUyKXUuQd2v6W0SkCsPNbHviluWw7N/VVksGg7kgL+RtjRaa2f6tJFY2s3cDSxIt0s82275Kg62F7Nfu/s26ZTsCx2miYhGpQkELRr+9dSLSX6T5Jz/i7s+l/98NnAO8y93XLCi3PDE12QfTIieCu53c/ZG8clUaUnUFumw9MzsOwMwWNLPzgR8C21ZaKxGZa7n7WHdfvtFP1XUTGQDOBMab2Wgz+zRwD/Bf4k5YkXOAu4lk0/MSA4Zuox/PHzvYWshGEcPKHwE2Am4B9nL3KZVWTEREREoxs4OI/H0ziOTkV7RQ5gVgaXd/K7NsHuApd39Xr1W2A4OqhSwFXpsT0/w84e7bKxgTEREZuNz9J8AvgCnAf1osdiKwe92yrxBTAPZLg62FrJZ3ZBHgKOD3wHgYHMN/RURE5iZmdhU9fTA3Al4GHgJoNPWYmb2V2X4os89nWf8//Wley8EWkGleNRERkUHCzA7LW+fuRzTY/iPpz62BZYhJ7yFGNu9JZF+4PLOP67pW2Q4NqoBMRERExMwmAKu7+xuZZQsA97r7itXVLJ/y4IiIiEi/ZGYfzlvn7tc3Kb4VcFHm/4/Tj/vOq4VMRERE+qXUJ6xmCDEPLERXpNz+X2a2FXAhMXfs88C7iBQYO/TXzP8KyERERKTfy0491uL2ixOtZEsCzwH/qCWY7Y8UkImIiEi/Z2avuPuiVdejt6gPmYiIiAw6ZrY5sBmwBDHKEgB3362yShVQQCYiIiL9Uia/KMBwM9ueFFwV5Rc1s28BPwUuAz4JXAp8Ari492rbGd2yFBERkX6pbH5RM3sE2MPdx9f6npnZ1sB27v6VXqlshxSQiYiIyKBiZlPdfcH09yvuvqiZGfCiuy9ecfUa6rf5OERERERKesHMRqe/nzKzDYAV6cdxj/qQiYiISL9kZvMDh9C4c37RlIgXpDLnA6cC1wJvA2f3WmU7pFuWIiIi0i+Z2YnAxsDvgJ8B3wW+AZzn7j9qYz8fBhYELvd+GvgoIBMREZF+ycyeBj7k7v8zs8nuvrCZrQr82t03Kyi3AfBr4CZipOVfgRnANv1pQvEsBWQiIiLSL5nZFHcflf5+AVjG3WeY2avuvlBBuX8D1xG3OL8I7AuMAPZy9417v+btU0AmIiIi/ZKZ3QVs7+4PmNn1RJ+wycDR7r5sQbkpwKLAUGAaMC/Rof8Fd1+st+tdhjr1i4iISH/1U2JS8AeAHwKXAPMAX2tSbqa7zwRmmtltqd/YTDPrt3FPvx3+KSIiInO9p4BHANz9KmARYG0iQCvyoJmtkcp9EMDMlgee6L2qdka3LEVERKRfMrP7iI74/8ssWxH4s7uv0ea+FgaWcPdHulvL7lBAJiIiIv1SXuf9bCb+wUK3LEVERKS/etHMlssuMLMxwMsV1afXKCATERGR/uoS4Bwze6+ZDTWz9wJnABdXXK+uU0AmIiIi/dVhwHPA/URi1/8CLwI/qLJSvUF9yERERKRfM7MlgLHARHd/seLq9AoFZCIiIiIV0y1LERERkYopIBMRERGpmAIyEZESzGwXMzuh6nqIyOCggExEpAVmNrTqOojI4KWATEQGPTM7wMz2SX//0syuSX9/1MzOM7PtzexeM7vPzH6WKTfNzI41s7uBDc1sVzN72MxuBT5YzaMRkcFIAZmIzA1uAD6U/l4XGGlmw9Oyh4GfAR8F1gLWM7Nt07YjgFvcfU1gAnAEEYhtDKzaV5UXkcFPAZmIzA3uAMaZ2ULAdODfRGD2IWAyMN7dX3T3t4HzgA+ncjOBi9LfG2S2mwFc2If1F5FBTgGZiAx67v4W8BiwC3AT0WK2KbASMLGg6JvuPrO36yciooBMROYWNwDfAa5Pf+8F/Ae4FfiImS2eOu5vD1zXoPwtabvF0u3Oz/dNtUVkbqCATETmFjcASwL/dvfngTeBG9z9WeB7wLXA3cAd7v6X+sJpu8OJ253/Ah7oo3qLyFxAUyeJiIiIVEwtZCIiIiIVU0AmIiIiUjEFZCIiIiIVU0AmIiIiUjEFZCIiIiIVU0AmIiIiUjEFZCIiIiIVU0AmIiIiUrH/B5+f/+85pJAkAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "most_freq_posts_words.plot(x = 'word', y = 'frequency', kind='bar', figsize = (10,5), \n",
    "                           grid=True, fontsize=13, legend=True, title = 'Наиболее частотные слова в постах');\n",
    "\n",
    "most_freq_main_comm_words.plot(x = 'word', y = 'frequency', kind='bar', figsize = (10,5), \n",
    "                           grid=True, fontsize=13, legend=True, title = 'Наиболее частотные слова в главных комментариях');\n",
    "\n",
    "most_freq_answ_comm_words.plot(x = 'word', y = 'frequency', kind='bar', figsize = (10,5), \n",
    "                           grid=True, fontsize=13, legend=True, title = 'Наиболее частотные слова в ответах на другие комментарии');\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "0d83dfdb",
   "metadata": {},
   "outputs": [],
   "source": [
    "set_most_freq_words_in_posts = set(most_freq_posts_words['word'])\n",
    "set_most_freq_words_in_comment = set.union(set(most_freq_main_comm_words['word']), set(most_freq_answ_comm_words['word']))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea182fd5",
   "metadata": {},
   "source": [
    "#### Посмотрим слова, которые являеются часто используемыми в постах, но не в комментариях"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e3ae9b58",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "заявить час coronavirus санктпетербург регион коронавирус сша случай вакцинация московский выявить полностью изз 000 спутник зафиксировать власть сутки сообщить сми навальный российский область москва также v\n"
     ]
    }
   ],
   "source": [
    "print(*(set_most_freq_words_in_posts-set_most_freq_words_in_comment))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "78ee6e16",
   "metadata": {},
   "source": [
    "#### и наоборот"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "0fb3183d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "хотеть пикчер думать жить вообще наш твой сделать путин ещё иметь весь каждый всё лентач самый четыре видеть мочь хороший деньга ребёнок мир знать очень почему просто говорить работать идти слово никто должный жизнь пять делать сказать\n"
     ]
    }
   ],
   "source": [
    "print(*(set_most_freq_words_in_comment-set_most_freq_words_in_posts))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3728f450",
   "metadata": {},
   "source": [
    "Видим, что в постах чаще всего используется литературная лексика ('власть', 'сми', 'москва', 'случай', 'зафиксировать', 'регион' итп)                                                                  \n",
    "                                                                  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "256f7d08",
   "metadata": {},
   "source": [
    "В комментариях же часто встречается разговорная лексика с преобладанием глаголов ('жить', 'иметь', 'видеть', 'хороший', 'просто', 'работать', 'сказать' итп)\n",
    "                                                                                           \n",
    "                                                                                           \n",
    "                                                                                           \n",
    "                                                                                           "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c1ea94f8",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}