Imbalanced_Data.ipynb

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from Chinese ...</td>\n","      <td>LONDON (Reuters) - LexisNexis, a provider of l...</td>\n","      <td>worldnews</td>\n","      <td>August 22, 2017</td>\n","    </tr>\n","    <tr>\n","      <th>21414</th>\n","      <td>Minsk cultural hub becomes haven from authorities</td>\n","      <td>MINSK (Reuters) - In the shadow of disused Sov...</td>\n","      <td>worldnews</td>\n","      <td>August 22, 2017</td>\n","    </tr>\n","    <tr>\n","      <th>21415</th>\n","      <td>Vatican upbeat on possibility of Pope Francis ...</td>\n","      <td>MOSCOW (Reuters) - Vatican Secretary of State ...</td>\n","      <td>worldnews</td>\n","      <td>August 22, 2017</td>\n","    </tr>\n","    <tr>\n","      <th>21416</th>\n","      <td>Indonesia to buy $1.14 billion worth of Russia...</td>\n","      <td>JAKARTA (Reuters) - Indonesia will buy 11 Sukh...</td>\n","      <td>worldnews</td>\n","      <td>August 22, 2017</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>21417 rows × 4 columns</p>\n","</div>"],"text/plain":["                                                   title  ...                date\n","0      As U.S. budget fight looms, Republicans flip t...  ...  December 31, 2017 \n","1      U.S. military to accept transgender recruits o...  ...  December 29, 2017 \n","2      Senior U.S. Republican senator: 'Let Mr. Muell...  ...  December 31, 2017 \n","3      FBI Russia probe helped by Australian diplomat...  ...  December 30, 2017 \n","4      Trump wants Postal Service to charge 'much mor...  ...  December 29, 2017 \n","...                                                  ...  ...                 ...\n","21412  'Fully committed' NATO backs new U.S. approach...  ...    August 22, 2017 \n","21413  LexisNexis withdrew two products from Chinese ...  ...    August 22, 2017 \n","21414  Minsk cultural hub becomes haven from authorities  ...    August 22, 2017 \n","21415  Vatican upbeat on possibility of Pope Francis ...  ...    August 22, 2017 \n","21416  Indonesia to buy $1.14 billion worth of Russia...  ...    August 22, 2017 \n","\n","[21417 rows x 4 columns]"]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"id":"b-xrepQ7sfKU","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1624013389109,"user_tz":-480,"elapsed":18,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"f7c74c07-9d93-4488-d1e2-35a0c5b2c54b"},"source":["display(fake_df)"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>title</th>\n","      <th>text</th>\n","      <th>subject</th>\n","      <th>date</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Donald Trump Sends Out Embarrassing New Year’...</td>\n","      <td>Donald Trump just couldn t wish all Americans ...</td>\n","      <td>News</td>\n","      <td>December 31, 2017</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Drunk Bragging Trump Staffer Started Russian ...</td>\n","      <td>House Intelligence Committee Chairman Devin Nu...</td>\n","      <td>News</td>\n","      <td>December 31, 2017</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Sheriff David Clarke Becomes An Internet Joke...</td>\n","      <td>On Friday, it was revealed that former Milwauk...</td>\n","      <td>News</td>\n","      <td>December 30, 2017</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Trump Is So Obsessed He Even Has Obama’s Name...</td>\n","      <td>On Christmas day, Donald Trump announced that ...</td>\n","      <td>News</td>\n","      <td>December 29, 2017</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Pope Francis Just Called Out Donald Trump Dur...</td>\n","      <td>Pope Francis used his annual Christmas Day mes...</td>\n","      <td>News</td>\n","      <td>December 25, 2017</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>23476</th>\n","      <td>McPain: John McCain Furious That Iran Treated ...</td>\n","      <td>21st Century Wire says As 21WIRE reported earl...</td>\n","      <td>Middle-east</td>\n","      <td>January 16, 2016</td>\n","    </tr>\n","    <tr>\n","      <th>23477</th>\n","      <td>JUSTICE? Yahoo Settles E-mail Privacy Class-ac...</td>\n","      <td>21st Century Wire says It s a familiar theme. ...</td>\n","      <td>Middle-east</td>\n","      <td>January 16, 2016</td>\n","    </tr>\n","    <tr>\n","      <th>23478</th>\n","      <td>Sunnistan: US and Allied ‘Safe Zone’ Plan to T...</td>\n","      <td>Patrick Henningsen  21st Century WireRemember ...</td>\n","      <td>Middle-east</td>\n","      <td>January 15, 2016</td>\n","    </tr>\n","    <tr>\n","      <th>23479</th>\n","      <td>How to Blow $700 Million: Al Jazeera America F...</td>\n","      <td>21st Century Wire says Al Jazeera America will...</td>\n","      <td>Middle-east</td>\n","      <td>January 14, 2016</td>\n","    </tr>\n","    <tr>\n","      <th>23480</th>\n","      <td>10 U.S. Navy Sailors Held by Iranian Military ...</td>\n","      <td>21st Century Wire says As 21WIRE predicted in ...</td>\n","      <td>Middle-east</td>\n","      <td>January 12, 2016</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>23481 rows × 4 columns</p>\n","</div>"],"text/plain":["                                                   title  ...               date\n","0       Donald Trump Sends Out Embarrassing New Year’...  ...  December 31, 2017\n","1       Drunk Bragging Trump Staffer Started Russian ...  ...  December 31, 2017\n","2       Sheriff David Clarke Becomes An Internet Joke...  ...  December 30, 2017\n","3       Trump Is So Obsessed He Even Has Obama’s Name...  ...  December 29, 2017\n","4       Pope Francis Just Called Out Donald Trump Dur...  ...  December 25, 2017\n","...                                                  ...  ...                ...\n","23476  McPain: John McCain Furious That Iran Treated ...  ...   January 16, 2016\n","23477  JUSTICE? Yahoo Settles E-mail Privacy Class-ac...  ...   January 16, 2016\n","23478  Sunnistan: US and Allied ‘Safe Zone’ Plan to T...  ...   January 15, 2016\n","23479  How to Blow $700 Million: Al Jazeera America F...  ...   January 14, 2016\n","23480  10 U.S. Navy Sailors Held by Iranian Military ...  ...   January 12, 2016\n","\n","[23481 rows x 4 columns]"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"1_3SYIyCs6nR"},"source":["# Data Visulization"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"rqqhNRZOs89i","executionInfo":{"status":"ok","timestamp":1624013389855,"user_tz":-480,"elapsed":763,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"f0abc125-722b-46a7-c67f-05774d41841d"},"source":["import seaborn as sns\n","import matplotlib.pyplot as plt\n","\n","sns.countplot(y=\"subject\", palette=\"coolwarm\", data=true_df).set_title('True News Subject Distribution')\n","plt.show()\n","\n","sns.countplot(y=\"subject\", palette=\"coolwarm\", data=fake_df).set_title('Fake News Subject Distribution')\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure 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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"RkCYrEnI1h4u"},"source":["## Real News Word Cloud"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"AG7pmXke1rv2","executionInfo":{"status":"ok","timestamp":1624013391754,"user_tz":-480,"elapsed":1907,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"305ff9aa-e6e1-4b29-fe33-c1d0ea06e037"},"source":["from wordcloud import WordCloud\n","\n","real_titles = true_df.title\n","real_titles_ls = [text for text in real_titles]\n","# print(alls)\n","real_all_words = ' '.join(real_titles)\n","wordcloud_real = WordCloud(background_color='white',\n","    width= 800, height= 500,\n","    max_font_size = 180,\n","    collocations = False).generate(real_all_words)\n","\n","plt.figure(figsize=(10,7))\n","plt.imshow(wordcloud_real, interpolation='bilinear')\n","plt.axis(\"off\")\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAjwAAAFrCAYAAADVbFNIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOy9d5Qc13Wv+53KnXu6J2dMQA5EDgRJMGdKVM6yLFuWbEu2ZD+/Z1/52feu6/CuHKRrpWtLlmXasqIlimIGc0AgiJwHA2AwEZOnc3WF8/7owWCAAUiQAIOl+dbCWoMKp3ZVV9X51T577yOklMwyyyyzzDLLLLP8MqO81QbMMssss8wyyyyzvNHMCp5ZZplllllmmeWXnlnBM8sss8wyyyyz/NIzK3hmmWWWWWaZZZZfemYFzyyzzDLLLLPM8kvPrOCZZZZZZplllll+6dFeZf3bImdd+hNIbwBFn/c69s0g3aOAitAXIoQ+cxvpI91DCK0NIcwrYPEsSInnHgMEqt42bbGD5xzA904jhIGqL0ZRK2bs6/uj+F4Xqr4QIaw31/ZZfiUYzmY5MDiI7XlUh8MsrKxEU2a/AWe58kgpmZjI09c/TmtLJab5al3vLJeBuNiKK/Z0u77Nqcxz7B39F7Lu0NRyKSW92W0Uvezrbtt3T+Dlf/I69/bw3ZO4ue+DzE/a5OO7PUjv9BnrcbP3gZ963TbOcj6SYuEXOIWHzlvu4XvduPbT5Cf+DM/Ze8G9fbcDO/NNpD8+s2XpI6XLbA2pWS6HrOOwf3CQb+3YwT/t2EHBcd5qky5K0fF48IWDfOm+J/nr727mZ8/sw/X8t9qsV6TouPznU3t4+MWDFB33rTbnLedk1zA/+NF20pnCW23KryxXTGaqQqfCWkxvdgtFL01IO/vVnrTmoSmX5zmRMofvHAF8hNoEwgJ/EOkPgwgi1HrAR7rdJWGjxBFqLUKJoRir8J19k+34SK8PL/+fCLUORV+K0BpK+3o9SG8AoVYg1GqktJHuKZA5UMoQal3pmN4QCH3SDgP8YaTMg59BqJWglJeW+UMgLITa8CvoORKYwY9dYLmJbt2Gqi/Bc/ZfdG9VX0og9ucIpXzGOt/rwivuQrduBRG6gjb/8iKlxPPHcbweTK0VRQm+1Sa95TTEYnxixQo836djZOStNucVURRBbXmUkYksj289QiZnc8eGBaC+fT1Snuez7UAXsXCA61a0Ycx0rv9KMX9eDb/zmRuIx2afvbeKVxU8rp+nJ7sFkBT9DHWh9QTUJGP2MQYLezCVGHWh9ZhqlIBWhqZY5+w7kN9J1h1kTvgmDDWClD5DhYMM2wcBaAxdw0TxFAmznYCWYLhwCEXoJMy2c+yQbide8Xmk241qrEfo8/AKD4Mwkd4AqnUzitqA7+wseQW8PrTwb4Fae94Z+UivF9/ZjyIz+EJHVeuQMo9nPwNCR/op9Mjv49vP4hd3IpQKhNaAUKvwnaP4bgf4Yyj6PBTzOtzsvwIKKHEUYzkKPm7+Z5O2DaGaV6MY6xFCvdzf678OQqCoyQssFoA+OUx1kZe1EAgRRDDzxSClj+ccwrWfQ7OuRzAreKSUSJlHCPMV77FccRunJ/6GhuTXsZS5b6KFb08UITBVFV19+z+XmqqwfF49bQ0VdPYM473NvTuznIsQAsvSsaxfcdX3FnNJgudE+jHmx9+Dj8exiV/QFN7EifRj1IeuJuMOcDz1CO2xd8zw4ihCJ2Y005V5hrrgOgw1woh9mJ7c89QG16KioythMk4vnrSpDa7hVOZZmiM3zLBDqE1owQ/i21uQ7nHAxrefQuiLwR9Fer1IES+JHVnEdw4i/RTiPMEjhFYSJcUlqOYGFGMlUhYRwkS1bkeotbjpvwNvDM/eghb8EEJrA3zARfqjIAtIOY7vHkYxryt17sZ6FGMdAH5xC35hM8JYBv440usFXODt/2J9NTznAMXcfyKUCL7bhW7dguvsQvqjmOHPoKgtuMUtOLkf4/un0cxrscK/dcnt+14fdvZf8JwOhBIhEP0iilpZWueeopj7EY79NL53Gn/sDxBCR7duRQ+8Ayji5B/ELW5H+ikQJrp1O7p1M0KoeO4x7Oy/lWy2X8B3j6OodZjh38BzDuEUnsCKfH5KqHnuMezMtzBDH0XVF70Rl/OK4PkjDKW/QTL8CQyt/qLbhcx1NCS+iqE2vjF2uB4jp1NIXxKOBQhGrEmB+/o4ncnw9W3bWF1Xx87+foayWcpDId63eDHzysvZ1dfH/YcP84UNG4gHAgDct3s3Y/k8n1u/Hs/36Rof54HDh+kcHUUCddEoH1q6lMZ4/FWPf3JsjJ8ePMiJ8XE0RWFDYyO3tLURNU0mCgV+eugQhwYHyRSLxC2Lu+fPZ019PYoQ7O7v55GODm5sbeWxjg7602kWVFTw0eXLiZpvjLdXSknedpjI5CkUXQSCYMCgLBJAU1XG0jmKjktVIoIvJcPjWRzXozoZRVUEo6kcvi9xPZ+gpZMtFBFAMhZiIlMgbzuUx0MEzFKnXXQ8xjN58raDlBLL0ElEg5jGxbsV1/MZHE0jBFSURdBUZcrusVSOouth6hqJaBDLPCsO8oUiY+k8yViIbKFIKltAALFwgGjYQhGCTNZm+/ZOduw8STZXxNBVrt7QzqZr55PPF3nqmcMcONhLNmtjmjrXXTuPdWta6Dw+xOYnDhAKmfT1j7NhfRsHD/WRShX44PvXUiy6PPjwHpYuaWDnri5S6Tzz59Zw261LiEUD2LZbavtAD5msjWFoXHftPNavbUVRFAYHU/z0/pfp6h4hHLL49G9uIpEIT53bwOkJNj9xgO6eUSZSeTIZm+amJO++dzVdp4bpPD5IdVWMPfu6cYoeK5Y3cfONi2bF0+vgkoa0NCVIZWAZOXeQ4cJBxorHURWTqsByrOIJOtOP4vq5CwgejbBWgy7OfqmnnF5CahUV1mKUycPXhtbRmXoIQ4mgKQHC2vleGRBKBAiUhpAAhI6iX4UW/t0zR8PL349QIqjmDTjuYV455log5fQxew2hJAAVhAZ4gIqUGQQS8JDeEH5xC3r0T/AKTyDdjtIxhAUijBBqKa5E6Ah9MXr4s5OXWAWMS7nUb3ukn8UpbMYIfQiJTyH9dxihj+A4HTiFJzBDzWj6MpRwFYX03+B7Pa+pfaFUYAY/jmM/QTH7PZDFaevK0Kyb8GUa4XZghn4doYRR1CpAAekhZRbVWImilOMWX8bO/B9UfSGq1oiUedziNqQ/hmasQTOWI2URhIWi1uG7HXjOHhT1BqT0S6LI60VRLy4i3g7knQMUigdK53IRhBCoIo5qvHpH/3pJj+f4z398imR1jFgizLV3X4UVfP2du+26HBwc5PDwMPcuWMCa+noePHKEf3zpJf78hhtI2TadIyO4/llvR386zWAmg5SS05kM/+Opp4hZFre2t2OoKpliEVN79ddexrb56tataIrCXfPmMZbP88N9+3A8jw8uXUrR8yi6LhsaG4maJk90dvLtl1+mNZGgIhQiZds8c+IEecfhqpoa1tTXoyoK+hsYFJ3J2/zkyT08/fIxCkUX35eURQJ88NaVXL1sDo+8eIhdR3r4/z57D6lsgf/1r08wMJLi7z5/LxVlYb7zwDZMXaNrYIyqRIQTfSNk8jbvvG4pOw6doqN7iLs2LuLDt63C932eeOkIP3t6H6mcjS8lAUPnnmsXc8eGBQSsme87KSXbD3Txzz/fxtrFTXzo1pWols7QWIbvP7aLlw93U3RcDF3j+lVt3LtpKbFwScgeODHAt+7fyjuuXczWfV2cHBglV3C46+qFfPDWleiawuOb9/PIY/u5YdN8GhuTTEzkKYuX+h7P8ykUiixZXE88FmT33m5++OPttLZUksvZbNnWyZ13LMPzfL573wvcfedVnDo1wtZtncybV8Ou3adIpwtcvaGdbMbm/l/sQtUU3nPvKtzJthcvqiceD7Jvfw8/+NF22loqqaqKkUiEeOc7VrBlaycPPrwHx/Wmronn+fzs5zsZHc3yznuWc/zEEP/+/a18+IPraagvY9fukzy2eT8b1rWzcUM7Y2NZHnhwNxUVEdataX3D7qXhVJanDxyn6HpYusrqtgYayi/87sgUimw50kVrdZKWqsQbZtOV4JIEj+NnGLOPUfDGUYVJVK9juHCAieJJJpxuDCWEInTy7hiuX8D2JnD8PIrQKHopXJmn4I1jqWUE1ST99gnSTi+q0LHUBGGtGlONczLzBHXBdehK4JzjC6GDiE1+LZogIij6UqTXi5v5BqCiBu9FaG149qNIbxREEISF7xzAKzyC9EqBy2rgboRSiaLPwyv8AukeQw28G6HEAQWEABEFoaEGbscvPIZfeByhzcNlHVJWILLfIpd1kcSJhhSEiFC0BbrioWkKQp0HygHczD+WbAvchaJdOMPM932EEBf8EpZSki0UyeTsGesUVSEx+eV2pcgWiqSzFwioE4JkNIiuqZPHrkI3b0RRKil6Q+jW7Uh/DOkNAhKhhFCVVoRS9pptEEJHaHUobsPMdUoEVV+AUtxWGio0FqFMO4YkhBF4bymeCgehJHGLW/G9U6hayashEGjGGozgBxHibOcjRQhVX4pT2IxmbkT6KVz7eTRjw1SckJQ+jtfNRO4RbOcoEhdNTRK2NhE21yOEji9tcvZLpAtP43gDCFQsvZ1Y8B50tR4QZOznydpbCZvryRSew/F6UZU40cCdhMxVU5mEviySL+4lnX8Cx+sBFDS1ikTo/RhaCwXnEKn8w2QKz2O7nfSP/3cUpWRrZfRzmPo8kJB39jCS/md8aaOIAFWxL2BoZ708Ukp8mSZTeJZM4QV8mcHQmogG7sDS5yKEhuMNMJz+ZyLWJgrOYfLFfaUrbq0nFrgTVQkjJSQqo7QvbeDEoT72vNBB0/wafF8y2DNKseDQf2qEprnVFG2XgVPDaJrK6hsWUlF78XtlY1MT71uyBEEp/eKb27eTf5UAYwnsPX2awWyWP7rmGhZUVLwmb9OegQGOj43xf19zDQ2xGL6U7B0Y4NmTJ3nXwoUkg0E+vGwZecfB9X083+efduxgMJOhIlT6DTRF4cbWVq5parosT9eloioKtRUxPn7XGirLwuQKDj96Yjf3PfQSi1qqqauM8eyuTtK5ApmczVgqh+P5DIykKI+F6BtOsWFJM4dOnmZgJMWHbl3JT57aw/ceeZnfeOc65tQmeXZXJ/dcu5hwwCQZD/PO65dSXxFHUQSPbDnEvz28g4Ut1SxorpqySyDwfJ9t+7v4t4d3sHphI++/aTlBS8f1fP7jsZ3s7ejjY3eupjoZ5eipQf7jsZ2EgxbvuHYxuqbiSzg1MMbm7Ue5bf0CPlC5nGyhSCwcQNcUJibybHvpOBuvbufd965C0859L4ZCJnfctpR8wcF1fUIhkwMHexgYmAAgmQyzYW0bibIQExN5rt04l/GJHCOjGZAS09S47tr5bNzQjuf5jE/k2P7Sce69ZyWhoMHtty6lUHBwXI9IxGLvvm76ByaoqoqhaSpVlTGqq2MzfrNcvkhP7xjr1rSycEEdiUSYRx/fj5QSdTI+K5mIcNcdy2iZU4HvS7bvOMGJE0NvqODxfJ+RdJajvcPs7x4gGrQuKniyBZtHdh3hzpXzfzkEj0BhpHAY20/RErmFqN5AXWg9JzNPYihhmiM3IfE4mXkCRagM5HehKgZBtZxT2edQhE5fbhuK0Ci3FlD0M5xMb0YIlbbIneh6gHJrPgP5l4mbLZyfVSa0uWihZgAU4yowlgAmavDDICc7aBFGqE2TqeuTr0YRBDy00CdBeiXPjQgBCop5HYqxipJHxyp5ikQQEGihXy999SuVKFo7JW+PwcmOFInkxyiLGuzf0clAX5q73mNhBN7HyaMjJCsLxMuCpNM62fRt1NRNCreLBNZ6nk/3yWHqGpPo+kzh4ng+P3/hAP/80PYZ66rKIvzlp+6gqeq1i4qL8dj2I3z9Zy8iz/OMaarC1z7/LlprJwOIhTX1TyjRSY+YRmnY763LnJL+ME7+p3jOERAg/QLSGz7HSwQ6qt5+jtgBJofGbqKQ+TKecxgo4rknMMO/y5mhSM8f4fTE3+B6IwTNNYBL0e3Bdo4TMtcg0PH9NOnC03j+KKbWguenGMv+J7bbRU38iygiiuP1M579ETn7JQLGIgytmay9g6z9/9KQ/CqWPg8pXdL5JxlMfRlDa8DSFyBxcdxuJKXOXhEGhtaMrnXieoMEzRVok0HeqnL25aqrtUQDt5G1X2Qi/yjl/qfOvW44jGbuYzx3PyFzHabaSt45RNb+c6pjf0LAWIrv58gUniZnv4ShNWNqTdjuSYZS/wDSpyz0XgBO94wy1D/GupuXYAZ0Th0dQEpJsjqGFzLJZ2069/dgWDo1jeUgoGNf9ysKnrZEovREC0FA1/GlxL9Ihp6UpbtXSklfKkV1OEx5KPSaBUdvOk1/Os3Xt29Hndw35zi0lJVR9DwGs1l+vH8/A5kMAGP5PJli8RxvU1DXaSkre1PEDkDA1LlhVTuKUBCi9CSOpnL83feeplB0aKouQwjoG0oxmspSmYhQCXT2DFNfGadgOzRWl+xtrkmwemEjR08Nkc0VWTGvnngkwLb9XaSyBeLhAKvmN4AoxUIJIdBUhV88f5DxdP6cDEpdU9h9tJd/ffAl1ixq4v03LycSNBFC0D+cYsehbu7auIhNK9pQFEFDVZw9Hb08t6uT61e2kYyV3p/pnM3axU1ct6IVQ9emjiGEYCKVp1BwaGpMzhA7ACOjGR7bfICenlGkLA2RTaTyuJ6HpiqYhoZhqBi6Sihkomkqmqbi+0UkoOsqlRURAFRVoaIiSj7vUCw65PMOjz9xgFPdI0gJBdsptT3Nk3MxdF0lFDTp6x9jdDRDf/84ruufE9hcVhYkmQiXvLSqwDJ17OIbm/VWEQvza9evYveJPk78bPQVty2Phviz992Eqb/9U+0vyUJDCTMvfu85y2qDa6gNrjln2YL4e2bse6FljeFraQxfC5ReTK5fIF3so8JcTEirnPGCKHl49Mm/p7tKAyDO9QYhzlehGlwwQ8o4OzwGIMLT/g5x7Eg/vadGKRQcrIDO/EV1HD00wPLVcxBqGa3zWhkZOQZSMDbqcfTwECuiETLpAk8+sp/hwRSbblmMFdA5tO8glmXQ2FJOx6F+irbLnLZKXNfnqUf3s3zNHJavnkMket65SEnBdhlL52dYb+oani9L2TeOh6qrl/1iLRRdRtO5GctVRZwXJClKnrAzf1+87MEbhOBCwsopPEKx8AhW+PdQ9XZ8f5T8xBcvsP+Fx75VfQFCqcK1ny8NjWnzULTGqevq+iPYbifx4HtIhj8KaEhskD6C0j2mKgkqIp9BUcIIDCQOI+lKRjL34fkZFDVastUboDzyaZLhjwAaWXsbvWN/QK64G0ufh+uPMJL5NqbeSk3si+haDSDxZQGBjhACU2/D1NtK2VduL7HA3Zh6y4xLpauVRAO3A5KJ/KMzztt2jjGee4B46N0kw7+GIkyKbje9Y3/CWPYHmHrpS9KXeQytier4n6Ap5Xj+KD2jnydrv0gseAegUN9aSWNbFeNDKRasmsPYYIrUWI6mudVseWw/4ViAQq5IOBYklgzjFF2G+2eWHpiOcREvpqooSJgSGb6UpO3S8IoQgpBhkHUcim6phMFreT5Cuk5VOMzn1q8nbp1NxLA0DUvT+PH+/eweGOCz69bREItxcHCQr23bdu6lF+JNq+tTClyXDI5m2Hm4h97hCfIFh1Onx/A9H9+X1FTEMHSN3qFxegcnqCmPEgmanOwfo/X0OEIIGqvLUBVBOGiiKALL0IiETHRNRddUhGAqHX48k2f3kV5ODoySzRUZSWVxXQ/fPzegundogm/dv5WySIB3XLd4SuwAdJ8eYyKT5/k9x+nsHQZKH4KdPSNIKSk6Z0VDwNSZU5vEmOxYp/+epqmhqgqZjH3B3/rpZw6zbftxPvaRDTTWJxgazvC1bz5x9jVSUtST7c68vr4vyeeLlDSWJJ+3UVWBpqk889x+tmw7xkc/fDWNDQnGxrL8769tvqRPP8vUuWHTAu773gsMDEygaSqbrp1PU2Ny6hxUVUHVXv0+8nyfouOhayqu7+N6PooAQ9PQpmXzlTI2fYquhy8lqqJgaCrqtHtVEQJT1zB1DXGR97vvS/LFUvyWogiUizxfUkocz8fxvKnfRldVdFWZOkfflxRdF9eXCFF65rVp668Uryp4hNCIGk1X9KDTcWWek+knyblDtEXvQBFvD5U4ODCBbbukJnKMj0quWjUHz/XJXqCGQiQWwHU8clmb8ooIlTUxorEAdQ0JspkC5ZVRTnYOYtsO46NZVm9oY9dLJ1i1vpWa+jLmLawlEHx9MT6O7XBs10lalzVhXka8xJVEykIppV/aCFSkPzEpLi3ALwV9+ylKQeAZpJ8ueYvQkLiTQeEZJC5SppF+trReqICCosRx/NP4bheoeRAhhIgi/XGECKGodaVsruKuyeNcIiKEbt1EMfcDpD+KEfwoQpz1lGhqNQFjBeO5H+PLLGHzaky9DUVEph5MIRQUEcRxe/H8FJIiviwgZbF0bmfaUsoJmqtgUrzoaiWaUoHnjQHgesMUnIPUhj+Cpp4ZHhAo5wv8K0De2YdAEDbXo0x+HGhqFSFzPeO5n+BNXkNFWATN1WhKOUIIFBHE0OZguyeQ0kHTg1TUxGlf2sj2Jw8QjFjkszZVDQnCsSCaruIWPSpq48QrogRCJrqpESuGX8m8i1IZCuH4Ptt7elhRW0v3xARHhoepjUYRwKLKSr6zcyebOzu5vqUFVQgKrktlKETENCl6HnnXpeA4FD2PlG2jKAqWprGsupq4ZbGrr4+bWlvRVZWMbeOrKooQjBUKJINBKkMhbNdld38/tvvW1po53DXIl//jGWJhi4VzqqmsCeP5PvuO9QGljq+yLELv0AQ9g+MsbKkmHg7w6NbDdHQPEwoYlMdCk7/tZEcz6cE5BwkDI2n+4YfPMp7Os6StlrrKGNHQhYPUO3uGWdRSzbGeYXYe7uGmNXOnhuI9X6IIQSRoEgufFZbrljRRFgkSCpx9L+qaek7HPZ1kMkxjQ5IXXuxgTnM5ibIQRacUYlBTHSedLhAKGlRWRPE8ycFDfeRyF495O5983mHb9uMkE2HyBYeXd3bR2lKJrqukMwWCAYOqiij+ZNvZyTAEKSWe52PbLvlcEc+XZLM2uXwRy9RQFIVczqaiPMoH37+OaDRALBp4XYUJu4fH+fojW7lu4Rz2nhqgc2AEU9e47aq53LSsncBkXYCxbJ6Hdx5h69EucrZDWSjArcvncc2CZqzXUDtgLJvjy794noGxNJlCkV+7fiW3Lj83dENKyfHTozz48mEOdp+m6HoYmsr6eU28/+qlWIaO5/vs6Ozl59sPMDCeRlUUVrfVc/eqhVSXRV7zdXglXvWqmmqUJYmPXtGDTkdXgrTH7nrD2n+9SCAStfA8n3zORtdVrIB+wQda1zVMS0cIUDWFUMhEEQJVU9i/u5tCvkgmXcAKGCQrIlRURXEdj0DAwLJ0ItHABd2wl0JPRz+jA+O0LGsiPZZh91MHEEKw5Jr59Heepv/EINVzKrGCJoGwhW7qjPSVMlb6jg3QuKCO5kUNqK/z+DOQeezsv+O5B/GKuwBBbuKLKForVvhz+G4ndva7SH8A3z2FnftXHPtZjMAdaOZ1uPbzFPM/x/e68b0+8qkvIdQkVvh3ULVmhFBRjRWIwiPkU3+BECGM4LvRrTvRretxizvJp/4UIWIoWguKWs2leqCEUNH0qyjK7yFlEd3ceM7Ql6bEqYx+jlTuISbyDzOW/SEhcz3lkV/H1OYihMDxhhjJ/As5+yUUEUQIE9c7TWlY9Ow3n6KEUcT0DkKhNHR2xluRQQKqEp8x/Hal8fwJEMo5w2ACFU2J43njMCXUNLSpWLrSVmLSZokkEg+y8c6rALj+nSs5svsU6fEcq69fSDgW5O6PX3NF7W5NJNjY1MS3d+7kJwcPUmZZVIXDmGrJ29meTPI7a9fyg337eOzYMXRVJW5ZfGrVKloTCX5++DBbu7s5PDzMRKHAXz7zDHWxGJ9evZr6yRo99+3Zw1MnTqArCrqqcu/ChdRHo9za1sY/bN3Knz/5JCHDoDEeJxG48mL0UvF8nxf2nGAsleOPPnYjrXVJpJQ8/OIhHnqhVAJECGiqKaOje4hMzqa1vpxYyKJQdNnT0UttRQzlEj1Su4/2cPTUEL/3geu4etkcFCHY39nPt+7fMmPblfMb+Mx7ruZHm3fzH4/upDIRYcW8UiJATXmUgGWwbnEzd1+z6BW/6F/pKdY1lXe9cyXf/+E2vvbNJ7FMDYRg7eoW3vvu1axb28rhI/185auPEw6bNNQnSCYuvaSFqilMpPJ87ZtPkkrniUYs7p6819eubuHQ4T6+8rXHCYdMGhoSlE9mYfm+ZMfOkzz19CEGBiYYHEzx7e88Rzwe5MMfWEdtbRmu5zM0lGbzkwfRdZVYNMDaNS001L+2eJii63G4d5CekXFuWNLGijm17Onq55uPbSVsmVy3uAWk5HvP7uKp/Z3cs3oRNWURjvQN8Y1HtuD7Pjctaz/H0/NKRIMWn7hhFSdOj/GVB58nU5gpIAfG0/zt/c8ykS9w18oFlEdDDKeyBE1jKiZ0/6nTfPmB51hQX8m71y9hLJPnp9v2M5zO8YW7r7miQ2VvD3fKm0TBHeWl4S9RcEfxpYOPh4KKIjRMtYyrkp8hajQDpSA3IUpDObqm0Ns9SteJIXJZGyugc3hfL33doxzc10O8LET3yWFs2yESDZAoj/DM4weIxAJoukpm2CYSDRCNBjAmVX0sHiQSDaAogq3PHWX1hraZQ1qXQDgeou/4aYr5IqmRNF0He7jq+kWYAYPDLx0jUVNGNBGm61Av4XiIYMTi5cf3ops6Na1V7H7qAOV1SWLll6akVX0RgdifoygVCHPD5NQPEYzg+wAXRAA9cAuafzXTS+QIEQAEilqDEfoQSA9z6sNeTGVaqfoiTOX8+j0CRamYtm0zwdhflkoE4COUkqhRtAUE43+B748h0HaC8/UAACAASURBVFHU6lJpgsmOXNXaCMb/FmVGbaZpKGGEEkPTW2aUNADQ1QoS4Y8QDd5OvriXofQ3GJz4MnWJL6Fgkco9yHj2J1TH/5SgsRwhDFL5hxmc+PvzzuiVRZgiwggJnjeOlP4bKno0JQHSx/XHMCh5cyUurj+KpiYoDQF6kzZfonhUFGqby6luSBBLvj4PTnU4zF/feutUEDDA8poa/vb22ykPhdAUhU+uXMmdc+fieB4xy0JXVYpeaRjE1DRua29nZW0t44WSZzZsGFSFw2iKwvrGRhZUVp5zTENRCBklr8LGpibmVVQwns/jS0nIMKgIBhFCsKa+ni/ddhtp28bUNCpDIcYnvT5n7PzLm2+e+v/l4no+ucl0bLvo4vk+4+k8lqkTMEsfYgGzFN80nsoxGDQZGEnxxI6Oczw0rfVJ7n9mH5WJCA2VcVRVwdRVDhzv5+N3rXkFC87FMkrHTGULDI1lyBWKPPDcgQtuq+sq4YDJh25bxXg6z3d+vo3I+01aG8pprC5jWXstD714kOpkhLrKONKXDE9kCZg6bQ3ll9wB19eV8enfvJ6R0QzOpHfnTPr33PZqvvD7t5FO59E0lfLyUvhBJFr66PjsZ24iURZixfJm2turCYVMbr91Cb7nc3owhWVq3HHbUkIhE8/ziceDlMVL90J7WxVf+NytpKa3nSkQCVsoSml9WfxccSUElJWF6O0bY/feU8ydW0VZPIiUks4Tg+w/2MMf/v7tXL9pAevWtBKc5un6jU9ci36R1H/P91nT1sBHr1uBoamsbK2na3CcJ/cdY2VbHafH0rx4uIt71y7m/RuXoasqV89vJp23+fGWfSxvqaMydmnPq66qtFQlMXX9gpmPUkqe2NfJ6YkMf/Lu67lqTi2qouBPDqmpikLOLvLgjkNEAia/d9dGogET3y+t/8WOQxzpG2JpU80l2XMp/EoJHk0J0Bi6gYI3yoh9iJPph6kLXkNVcCWWmsBUz8b/LFvZPGP/1rnVQOlmra1PcP1tS6bGe3/9d26cWpcEPvzJa6fWSTnZTUzrK26+axkAd75r5WWdUygaxJx8GCobK1i8cT6Htx8jVh5l/T2r2fHobg6/1IluaPieRz5rk88WGB9KEYoHqWuvntr/UihlYM2ZPFcDJsWEUM92HKr2CtkDIoKmXLymjVArp+ruXHQboSLUKlCrzlujItTacwSNUKLT9gucM6/X+Ugp8d0T+N5JrNBHZogM38/iywKqUoauVqFZm8g7B5jIPYCUDlIYFL0+VCVJ0LgKXa3F88dLKeO8tuEOTa3AMhaTyj9EyFyNPlmqwZd5SnLpbByEKiL4sojrj/F6BjWDxgpG+A6Z/LNY+nwUYeF4/WQKzxE016IqUVzvtZXDVxRB/BJF9MUwNI3WxLlfuRHTJDKtjk3YMGhLzixweQZdVamNRqmNRmesa4jFaIjNzJw5g6ooVIfDVIdndgC6qs7Yd7pd59t5uZzoG+G7D24nnbXpODWERPJX391MWSTIPdcuYll7HRuWzmH7gVP8/X88QzRkYRkac+qSDI6mp9qpTsZI52wWtlRjmSWvdGUiwgt7TtBSe/HreD5L22tZ1l7LfQ+9xM+f3YeqKMxvrqSlfmZl9DPEwxa/dvdavnTfE3z7ga18/oObqCwL8/E71/DdB7fzle8/O/XOVBWFj9y+irZXaO98hBBEIhaRyMy591RVoaoySlXl2fsgHDr7+wTrSu9AXVen9k9OiqXTQ2mgVDiwuWmmPaqqUFkZpfIibScT4am2piOlZM/eU0xM5PmjL9w+ddz9B3r59r88SyqVp66ubIZYqqm5eGmJgKHTUp3E0EpezrBlMK+unO0d3eRth+Onxyi6HkubaqYKbgYMneVz6nh45xEmsoVLFjyvhuv5dPQNEQ9ZLGuunRKuihAok8eeyBU4NlAqLfHTbfunPgQ7B0YYy+bpH0v/1xY8nvSZsAsENR1Le22Fk6SUZJwivpREDPOiQVIXQ1MCNEVuRkqfnuxznEw/THVwLXNj775A1s7Mts9fNP3/r2XdlcJzPA5t66DnSB97nztEw7w6uo/0lQIYfcnxPScp5GzC8RDldQl2P32AQNiiYX4dmqaSTeXQdA1FfbODjt9elIROB25xG669BVW/Cu0ChQZt9ziDqa+iKlE0JYHnT5Ar7iJq3YwiAgg0guZKUvmHGEx9BUNroOj24Hj9qK8xRV9TEpRHPslg6h/oHftjTL0dpIfj9ZOMfJKgsWpq24B5FUrWZDD19wQm7S4LfxBTa8aXRbKFF3G8AXLFHfh+loncAxScA5haGwFjMYbWSCL8IUYz/07RO4WqlGE7HQhUEqH3o4jZUvhvNRXxMHdtnHlP5goOyckOKhEN8gcf3sRoKofn+5THwiRiQW5aPZfKREl81iQj/PXv3k08EsDUVUDw/puXc+3yVlrryxECPvPuq4mELFRF4fqV7ayc30A4aNLeUMHvf3BTaRjK1Pnt92yk5/Q4RcclErKorYhyy9r5VCVLxzIMjU/esw5NVUvBr0JQk4zwhx+5gcHRDCHLQAhBdTLC77z3GnoGx8nkbFRFIRq2qC2Poiild9O8xgr+x2/dQetrEED/FUgmS96gBx/eQ2VllEy6wM7dXaUht9fhGRUIVOVsmZMzAcKu7yMlpcBhmBpOmtwJU1NxPA9PXrkK3p5fClYuBURfuI/xPEnR9cgUbA51D56zbsO8pismvs7wpguedNHmK3tf4JaGdq6uaX5N+zq+z4Ndhxi183xi/ioC5wmmVLGA50vi5uVVeD3DuH2MvDdKubUIz7cZLx6j6KVRhE7EaCBmzJna1pNFMk4vWacfx88hhIKlJogZLZjqWeVvexMM5F6iIrAUReiM28ew/QlUDCJ6PRGjCeUSp6BQNYUl1yxgwdp2VL2URllRn0AIgREwqGwqZ9mmRWhGKYOheXFDKbVx8mZ3HRdVU9HNX/WKnRLpT+C7Haj6EozA3SBmfvnrai0R6xoKzhFcfwRFhCiP/BYRaxNnZnQPm9dQHftvZO3tpVRxYyUBYwGp/JMok+UJDLWRSOAmVHHWA6IoYcLWNSVhQylZIGLdgKZWkyk8jeP2IoRGwFiKrtadY5eptVAd/2+k8o/j+eOoSgIx+WhL6ZAv7qbo9YH0iQZuxPUHce0RpPSxjAUITOLBd6FrDWQKz+H7aULmGiKBWzC1OaVAbCVM2Np0Tv0eIRQCxmI0tXwq2HmWN4Z4JMC6xc0zlv/7wzuIhSxMXeUXzx3gxjXzWD7v3EKZC1uqp/62TJ2r5p57/9RXxqmvPOs1mD+thk5NeZSa8tL7S9dUFk1rKxENkoieK4bnN5/1rqhCMLfxXG+toigzjicmg5an1+45n1g4wIr5b00B0Hg0wKoVzYTDMz1Hl4MQguXLGkHCvgM97D/Qi2ForFnVwtq1La8rcLnoeoxl8lPZUK7vM5TKUhYq1Ssqj4ZQFcHgRIYF9ZMV7H1J/3ia8kgIS79yfYGuKcSDFl1DY0zkCsRDM0M2AqZOIhygPhnji++5YUrgnsG4hCKhr4U3XfAENJ175iykLjTTxfxqaIpgdWUDtueiK+eKAl9KXug/ie153NU8H+0KzFt1KvMUfbnnWVj2MXoyzzBsH8DxMgihMCdyB8vLPwuUCtJ1TtzPycyj5NwhPL/k/teVEFXBVSwq+zVCWg1CCDJOL9sG/4IFZR8mXexmxD5A0S/V8ghrNcyPf4iG8PWXlq0mBGbAOGdISps2tquel7UVjJx7wxmzpcmBUsetmavRzNWvuJ2mJkmEP/KK26giRCx4x2Sa9lkCxtKpv8PWOsLWunPW62oFVbHPn2eXRtBYSnDavhe2XyNkriZ0AftVJURl7Pdfcf9SGwEi1rVErGsvuF5XK6mO/9F5+xjEQ+961bbf7tiOS2FyNm9NVQgY+gzvsef75IoOvl8KPA+Z+hUt+vl6sR2XVLbAUzs6mNtUSWN1HNfzKNguQoBp6KiKwHE9PL+UMaRpCqau4Xo+dtFFiFL6uVAEdtHF9XzUyZR0z5c4k+nLglKc0Pmd0i879fUJPv7Rq9+Qtg1DY+2aFtauaXn1jS+Bouuy5cgpNi5opiIapqN/mD0n+7h52VzClsmC+kqq4hE27+1gbm050aDFwFiap/d3sm5eI+WTAtb1/KnUdSklrutjOy6qIlCVUrq46/n40p8q++B4HrbjoiilcgyqorBmbiMvHuniZ9sPcM/qhVi6huP5pWlKokFiQYt1cxv52faD7Ds1wOLGahQhsN1SiZSmyitXZw6uoOAZt/OcTI8xL14x5XlJF206JoaZX1ZBUDM4mR6jNzOBIgTaeUNIUkrG7DynMuPkXQdL1akLR6kMlFxaY3aejvFhbN+lNhg9J3Rywi5wZHyIR04dJWyYxE0LTVG5qryWsH55Uzrk3EGOjP+AhLmAVeV/iK6GyDi9BNTprlWBpZZRE1xHubmYoF5F0Zvg6MRPOJl+hDJjLm2xdyCm1X85NvEzqoOrWVPxx5haGcP5fRwY+w6Hxv+NpLWYsH7lxi1nefvjSwmSX7nO5O3AY/s6+MbjW/GlZGljNX/8jk2Uhc71XBw7PcL/euAZekdTKIrgf773FlbMqbtIi28eZ2Ykr0lGWT6vDinh+d3H2d85gKoIFrfWsHphI49vP8LpkTRF12N+UyVrFzfx/O4TnOgrFctbs6iRuY0VPPFSB92nx1EVwe1XL2BoLMNzu44TCZmkszbvuXHZVHHCWd5+BAwd1/f4m/ufRddUTo+naSwv49ar5mJoKoam8rFNK/inx7fzZ99/nEjAZDSTIxkJ8oGNVxEyS/3l5r0ddPQPc2ponKFUll+8fIij/UO0VCXZtLiFsGWy9WgXe7sGOD2eZjCV4Ym9xzg9nqEuGeXGJW2UhYOsbWvgrlULeHjnEbYc6SISMMkUirRUJfnt29YTtgzuXLmAvtEUX3t4C/GQhaGppPNFWqsT/N5dG6/o5L5XTPD0ZlP86bbH+Mt1t7E4UYUEXhrs5uv7t/DljfcQDBv0ZCZ49NRRtpzu4g+WXcvtTWdz9seLBb66/0V6MxNYmk7Ocbi5oZ33tZW+btPFAltOn+Lp3k6WJmv4v5ZfR1gp/TiD+QzP9p/gwNhpooaFL300odIaS1624Cl4YzSEb2Bp8lPok2X7K6xzv7iFEDRGbjzzv6nlqrDoy21hvNiJJx0UcVbwmGqcZYlPE9RLbtyIVsdY8QjHJn6G7Y0R0qqZ5VeHk0NjjOZyrGiqe82xabNcHpmCTc/oBP7kV2o6XzxH8Egp6RtNcaDnNJlCEVURUx6htxrPl9hFl9FUjoLtUnQ9tu7r4lP3ridfdPnx5t001yYZGc8SjwR4x3WlKTpOnR7ngef2s6ilhpGJLM/u6qSxpoxI0KQqEWb30V6O94wgAaEIPnzbKn769F6O9QzTUFX2hsUlns/0is3TebME1/nHf7sLPV1TuXPFApLRICcHx4gGTFa21lObODuisrKlnur3Rth1oo9UrkB5NMSK87KzVEUQtkwWNlSxsKFq2vJzixOGTJ3mygSfuOFsckFJoJSuU8DU+eh1K1jdVs/RvmEKjkvEMplXV0FgcjQiFrL47ds3sOdkH11D43i+TzIcZF59xRWv3nzFWqsLRZkTTfDyUA/zyypwfZ8XBrpYXdlAuVV6eayvbqQpUkZPdmLG/iOFLDsHe/ns0qu5qryWoudiqWfNawjH+fX5q6aCnqczJ1rGR+cupzczwdx4OR9qvwpNUWfE+LweFDRqg+vRXiVwU8rSnGNFP40nbXzpkfdG0ISFJ23OrwycMOdhaWezIoRQCWu1SDxc+doyYmb5r89QOkvveIoVjXVvfuHqWdBUhbBpkM7bdA2P0Tht3iDX9+kaHsN2XBqSMfrGXkMxyzcYQ1O5flU7g6Npntt9nHWLm1AUgTmZoq6qCkXHxTJ1qsujU8GqRdclEQ2yaWUbuqYQMA36h1LsOdbHnVcvpG9oojTPnyKoq4gRtHRCAQPP8yennnlzbtKhTJa/eep5Dp8eAuCW+e18ct1KAlcw1uRi+L7koUNH+PHuA6iK4N6lC7lt/tyLFj98OyClLM0SP7+Zq+c3X3AbRRE0lMcvOjcWwM3L5r7qsTbMb2bDRY4xHVPXWNZcy7Lmi5cDCZo66+c1sX7eG1fkGK6g4IkaFhtrmniyt5N3tSwmVbQ5Oj7Eby5cO5WNpQoFU1Wn5qaZTpkZoDma4IfH9jKUz7KxppmYeTbmRAiBoaroF6hHckbcaIqCoaoEdWNGjM/rRRUGuvLKc/H40mEgt4OuzGOM2R140kYIBSldCpOVc8+nlAJ//hQaZ87trZuP6s1CSknOdugeHGdgNM1YKke+6EzGDygETJ2ySICaZJTGyvhUrZFfVspCAZ49eoJH9h8lbBkEDZ0VjbWXXAhuOq7nMzSeoX8kxchEjnS+QN4uxWYoisDUS1kzQcsgEQ1SEQtRHgsRvMAM128GrufTP5yiZ2ickXSOTN6m6HilZ15XiYUsKuNh6ivilMdCb8iwn66q1CVidAwMc6R/mGvmn01IyBcdOgZGMDSNxmT8bSV4EGDoKjeunst3HtjO3MYKGqri/GjzbgDK4yGqJjO0pl+1mmSMxuoytu3vImDqLGypQtcUsnmbvR19DE9k0TQVz/en5spiWitPHztBx9AwUsKcZBk3z7t4uYdL4eToGM92niTvuAR0jbsXzacsGMDxfE6OjnN4sDTtxNLamovOo3alGcnl+KctOzg0KbYmCjZLa6tpLLu4UJilxIid4qXRDlJOjoZgBWuSc1FfQy2xQ6luKswY5eZrj/V9Ja6Y4FGEYFVFPQ91HeHw2BA92QkiusXS5KUNzZSZQf6fFZt4of8kz/Wf5NFTR/jIvBXcWH95D9IbjZSSofxedg5/GVONsbDso4T1OlRhkHeH2Tr4Py+y5y9v530xfF+SyhXo7B3hhf0n2H98gKGJLOlcgbxdmmnY90vzsmiaStDUiQRNKuJhlrfVsXHpHObUJKbSWS+X7sFx/urfnzhvnrCS2/Yz79zAkpbLj6PK2w4/fW4fz+zunLFucUsNn7p7HaauETINEsEApycyjGYUYgEL2XiBBi+AlKU5bQZG0mw7dIodR7rpH06RytlkC8XJQNTStS1NQKigqaX5c4Jm6cs9GrRorkmwtLWGBY1VlMdDhAPmG/I1e2aOpP7RFNsPnWLrgS56h1NMZPPkCg62UyqsBwJNFViGTtgyKIsEaalLsnHJHJa21pCMhq6ofWWhANGAxdH+IXwpp4YW80WHY6eHaUjGpsrzn38+6UKRnpFxdp7s40j/EEOpLFJKYkGL9upy1rc30l5dfo6LfiST4xuPb+XE0CjvXbuEmxa3X/B8pJTs6ernG5u3Eg1YfPqmtbRWlbzDt29YQNAyiYRMPnDrcixdp6EqTvfk3Fh1lTGClsH1q9qxpiU0REMm775hGX3DKXxfUlsRJRw0+cDNK3A8j1ULGiiLBvGlnJoEc+OyFlRFQRGCrSe7uW/HLhzPZ0NzIzfObb2sodh9faf5389uIVWwqY1GuGluK2W8dZWrgdKUI9MmAC16HvYlTAh6KYzm8pwaGyeo6zQnyjCuQKV7XVOpLosQNN+aD5czSCl5qG8HUSPInFAVpWT513ZvJI0IAfXKn8cVHSBripTRFCnjmb7jjNl5riqvIWZcWiqfEIKqYIR3zFnEjfVt/J8D27j/xIFLFjwCgaaoOL5/0XHfNwKJy6h9iJw7xMKyj9EUvgkoRbE7fg5vdngKALvo8vLRHh7aeoitB7tI5+ypSQjPx/MlXtHFLpYmTj11epy9x/q4/4X9XLeslTvXL2Bhc/Vld3a5QpGXj/TMsENTFcYzMydsfT34vqRrYIwdR3pmrDMNbSrrpyYW4V2rFpMrOiTDQUBeUgfi+T6dvSM8uv0wm1/uYGg8M5lZceHtSzWHPBzXI287TGTP3p97Ovt4aOshwgGTZW21rF/UxFVtdTROVuS9Ekgp6R4cZ/PLHTy87TC9QxOTWR4X3BrHlTiuTTpn0z+a5nD3IE/tPMbC5iru3rCQa5a2EA1dfrrwGXFSFQvTO5oiNS2NdjSTp3c0xTXz51wwdkcCP31pP//63E7Gs3mkLMUuCCBnO2zef4yfvnSA3755HbcsnTvVucWDJbtfPt6LpWusaW0kEZ7Zyduux9OHjvPi0S5WttRTFTtbzqCm/Gz5hNppf09PRQemvDxnEEJQFg1Sdl5aeXtjBRejouxsjEdNNFJ633o+KdsmlS8QD75+gTKeL0xd2/Jw8IqnI78eKsJhltfX0J9OoykKaxvrqYlefl0YKSWbjxzj7595kaW1Vfz322+iOnL57TaWx/mrD99+RcTT5ZJyc7SEq1kWn4OqqOQ9m+7cMHMjtXjS52R2kAozRtrJkXLzjNhp/n/23js6rvu88/7cNr3PYDDolSAI9i6xSKJkddmWXGTLjh3Hdl4ncZI38b6bPcnZs7s5+75vdrPJu+ts4mwcx+u4x7ItNzWqWKLEIvYCFhAA0ftgep9b3j8GBAkNAIIkKFE6+Z7DA2Lm4t47d+79/Z7f83yf77fS4qHZEWI4E2YoM0WHux67bKGgq1xMjBDOJ3ArNla6akmrOUZzETJqDkWUWe2uxypdWxpjWe8qSRTZXd3I35zej1VW+HTbxqucpnXGMgn6k1HihRwDqSgXY1NU2py4TRa6Y2FeG+mlzlF6aEfSidkOLX2mg2skHWc8kyJWyHIxNkW13UWFxY4klkplLS4f+8cHqLW7sckmtlbW4lSuXATD0FGNLLqhoRolV3DNyFLQk4iCjDxrUHk9EFFEB2AQy/eQsYYRBZl4oZeL8Z9gLKOQ03sRumEQTWT44asn+NWB80zGUje0n6KmMxVL89N9ZzjaNcxH717HI3e0417AsPC9hul0hmeOnSWVy/Pb92zjja4+HljThryIKGQmX+D1k5f43t5jXByeQtNvLtC/HGjmCiqvHOvmzdOX+NT9m/j8w9uwLcNqK1dQOXx+gO/uPc7p3lGKCwS8i0HXDdK5AkcuDHFhcJLjF0f43MNbqQm4b6rUZWDgtVvJF1UujE4xOB2fDXh6JqYpqBptoQDnRibL/lYUBLx2KxUuO/eubmFNXYiAo2Q7MBJN8NPDnZwdnuAff32E1bWVNAVLBE9JFLl/7QpePH2RU4PjdI+H2d5aV7b/WCbLm139iKLA3e1NON6l0uPVqHY5UUSRLJApFAinMzcc8Oi6TiybnbUEqXSW9v1uw6LI/OFdd3L/ylZkUWRVZQWOZVDPzhSLnBmbYDqdIVtUl22BLoki9tvg3hAEgfsqN/Da5BnOJ4bYXbGaGpufVydO4TM5MDDYO36Cj9XtYN9UJ4lilg53PTo6AqXnaf/UOeyyhYDZhaprRAopUmqW07F+dAzSao5XJk5xT3Ath8JdiILIRk/zNeeCZQ+j1/mrWOsP4TfbZ4MXKIkC/qS3k6FUjPxUjqP6IAOJKI80trO7qgmLJBMr5OgeCaOIEmv9IR6pbwegqGu8MdbH/rEB0mpJafkH3Sfp8FXy8Za1OEQziijxSEM7OVXljbF+nIqZtf7QnIAnryc4Ef6fpNUxsmpp4LoY/wmj6QPYlBBrvV/AaSofcBaDgEjQuolq+w6G0r9mJPMmoiCjiHZC1m3oxtIded9vMAyDgfEIX//lIfadukSucPOdLbph0D8e4R9+cYDRcJzPPbwVv8v2ng96+sNRzLLEVFHFZlI4OzrJfatbkZl/4M8XVZ49cJ5/eu4tpmLpW3JOkijSFPJhXsC353qQKxR59uB5vvncYSaiyQUzUNeDZCbPswfPMR5J8HuP72RVQ+UNBz2GUSIANwV9HOsbYXA6xtq6EIIAXaNT2M0mav1uzo+WBzwAH1izgq3NdbhsZqxKSavGMEoZuFqfmz/94QuMROJ0jU3NBjwAK0J+NjZWs+98H6+e7WFLc02Zd9SJvlFGowl8Dht3ti2xznmLUeV2zmZYM4Ui4XSG1oqlW1NcjYKmEcteyTRWOh23DTE45HISci2vY3c0k+Xc+Pz30fsFbc5qQhYvF5Mj/HL0CF9ovp8OVz3HIj3YZDM1Vj8exYEkSKx01bK7YnXJqU8QaLAHCVl9CAgYRim46UuPIwki47ko0UIKSRBpdoTYXbGaWDFNJJ/EwLhm6WzZA56g1cH/s/2hstd9Fht/tH4XAD3eEQKVbjxXSWfXOz38yca7592nWZJ5vGk1jzct4sEkCFTbXfz+uh0LbiMJChWWdXiNFWXvyYIFWZyb3q2234lV9uFQFtbbEAQBl6mezYGvEM51ktPCiIKC29SM29RMJHceHRVRKEXeNrmSDYEv4zGtmPPllAKnzWwK/DFO5d1RFF1OGIbBSDjO3z6zn9dOlPNXLkMQQJYkAi4bHocVRZEoFDWiyQzRZLYkhT7P5JjKFvjpvjNk80W+/MROvE7rezroEQVhtoNmKBJHFMUFH15dNzh8bpBvPn94wWBHEGbaRmeIyTazabZjJ50rEEtlyeaLGAYLkkCbq/2sb60um4CvB5f5Os8ePM/f//wA0eT8pcLS+Yq4HRbcdgs2iwlV1Uhl80wnMhSK2rznWdR0Dp0bRNMN/t2n7qXxJjVi2kIBNF1nMBxF00sdSb2T0wRcdioXkbm3mRVsb1MsL93bIm1VAer8bjqHJpiIz81wum0W9nS0sP/iAEcvjTA8Hac+cKXtu6CqvHmxn1SuwF3tTVR7lpfEeaPw223YFIUIWTLFIuH0jQfdeVUjmr1yX1Q6S+au70cYhsFEMkVPePrdPpVbBlXXiBXTOGQrTfZK3pg6S1FXaXfV8uzoEaKFFB+v34Uwo8dnlUyz5XvDMNAxrvzEYCgzRayQ5rNN984ENiXYJTOyKCEJ4syW18Z1BzyGbjA5FisRmNVVPAAAIABJREFUJdMFPH473oCTdCpHeCyOKAkEQm40VScZz5RIqIKAKIn4gi6SsRL732RRMAyDXKZAbDo1Q4wTqKzxICsS0akUyXgGi81EIORGEASmJ+KkU3kcTgu+oOu6eQWKaKfV/eElbx+wrCFgWbOkba2ynzpHecBWadtctl2b+2Nl2wmCiM+8Ep95Zdl77zUYhsF0IsPXf3mI/Wf65t3GalZomSGgbm6rJeC2lwzvRAF9Rt01HM9w/OIQb5zuo3d0mmy+OGcf+aLKc4fO47Jb+OJj22+LdO6NYkWln4sTYQamo3xj3xEeW9++4Co3HE/xvZePMxktLw8qskRTyMedaxrY1FZLtd+FWZGRpFKnja4bJYXdosp4JEnfWISzfeP0jU0zncgQT+fQdQOTLLGlvY4q/81NsIYBb5zp4x9+cXDeYMekSNRVeNi5ppHN7XXUBFyYFBlJFEsKr5pONJnhzKVx9p26RNfQJMlMvmw/xy+O8PVfHOSPn7ybCs/iXZWLYUVVAKtJoXciQjpfIJHNMxlPU+NzLRrwlD5riTyeyObJFooUZ5RoY5ncDFfLoKiWE+Q3NlbTFgrQMzHNwe5Bav3u2Y6WS5MRzg5NYDMr7GxrwGG9PSw8zJJEpdPBcDxBtlBkKpWZtTO4XuQ1jWjm6oDHfs0uW8Mw0AyDaCZLIpebo5RtM5nwWi3YTcvT3LCc0A2D06MTZG+hjpOm68SzOWIz10U3DBRJxKooeK1W7GbTLdX60gydg+Hz9CTHUESZbb42/GYXmqFjk81ktDwVZjcCAl6TE7t8hYOX1fK8NH6SocwUcTVDUVepswUwiTI/GdqPTTYTMDvRDH12AeRR7JglZUm06OsOeFRV47t/+zKhWl9JTrqg8skv7WHvT46STuZAAH+FC7vTyvmTA6STOZweKwICj33qDibHYvz82wd44jd3snpzIz3nRvnxN/exdmsTo/1hdj+8jkDQxcFXzyGKAtOTSe770EZ0XefkoV5EUSAWSfPQx7ZS27Qwwe5f8e6hUNT4xf6zvHTkYtkADxD0OPjEvet5bEcHgUUmkfpKLxtX1PDEXev4xf5OfvTqqTIOUEHVeOaNMzSEvHzwzo5lI9e+07AoMh/e2DEb6MQzC5Pdzw1McqJ7pOx1QRB47M5VfP7R7VT5nNcc7FtrAuxa24RhGITjac4PTHL84jBHu4ZIZvLs2dh6U9kdgL7xCP/0q7eYTmTK3nNYTTyxey0fu3sd1RXuBQfhuqCHdS3VPLajg72Hu/jnF48yNj23NVzTdV472cvKhiBP3bfxhgXLgi47VV4XvRPTpHIlTZ5kLk9DwLsofyOVy3Pg4gAHuwfpmZhmMpEqdcipJTFATS9NOvNJTtT53WxvraNrdIrXzl/i/nUr8DtsqJrOqcFxBsIx2qoCbGq6fUQpZUmiyu2E4ZLHYTidRtX1G1LFzasqkZmAx6rIeG3WBUuTkljKe44nU7xwvps3L/XTHZ5mOp3BMEqWH9UuF2urKnmgfQXbG2oxL4EAHUlneOliL9Pp8vv0Mhq8Hh5ob72uz6gbBrFsjpFYnOF4gqFonOfOdc2+PxJL8O0jJ3AucG+ZJIk7G+tYXbWwz9hlXM4e7e3q4WD/EBcnw0ylSt+L3aQQdDpYHQpyd0sTd7c2LgsfaT6YJYUP1mwvez2vFcmoebb4VmCZyercF1o/ZxubbOHDtXfw4dq51ju/u2KuVc/VuCu4tKQE3GhJy4Cd968mUOnmO3/7MgM9E4wOhPnCv32ERCzDL793kEClm8YVlUSmkjS2hRjsmaCQV1m3tZlThy7NDsaaplNZ7eGxp+7gwMtnGRucZnIkyslDvTSuqGR6KsHIQJjxoQhdZ4YJ1fmITCaYHIv9a8Bzm+Js/zg/e6NzTkvnZdRWuPnyEzu5a33LnDbZhSAI4HfZeOq+jdRWePjaz/YzOBGbs00yk+eHr5ygvS7IyvqK225VtxT0haN0T0xz98omOocnODM0zmd2bkScZ3A91jVc1koPsGVlLb/18DaqrzMrIwgCFR4HFR4H2zvqmYymiCWzrLhJZ+pkJs+PXj3JpbHy9L3fZePzj2zj0Ts7cNqWNvC67RY+vGs1AY+d//6j1xkJzw16CqrGL97sZPuqelY1XHuCmA+yJNFeVcFPDp8hms4yOB0rEZarAvMqSRiGwXQqwz+88hZ7T3eTV1Xq/R62NNUSdNmxW8zous7Pj51bUL9HEkXuXd3CsycucLxvhN6JafwOG8lcngNd/YDB5qYaQp6b45JkklmSkRTeSs+sj55hGGSSWeKTCSrq/SgmhehEDE3V8FZ6kGSpVJbMFgiPRnAHXNjdNhRJpOoqbstUKk2uqN5QwFNQ1dmSlttqWXDyBzDLMqfHJvjGwaMcGRwuy5TEs3ni2SkuTIZ5raePT21ez+e2bcI2j5zA1ZjOZPju0ZN0zej9zIe7W5u4Z0XTkj9jrljkr1/bz7GhURK5HIlcnmQ+P6e5YCgW558OHVtwH3aTgt2sXDPgKWgaRwaG+frBI5wcGSu/Lrk88Vye7qlpXu/pZ1d3A7995xbaKgLviJ3NVC7Os6NHcMgWVrvr37XA/YYCHkkW8fgdiLKILIsgCOg6qEUNbUZLRZJFzBYFSRax2kupxYXY6E6PHbNFQTHJZNN5JFlk9aZGPvjpOzF0A1mRePHHR9iyu427H1lHsaBhtS8+SE5EksTTOZqqfLPciPcTMvkirxy7yCm3fdn2efrS2E3vI5sv8vM3zzIeKR/cHVYTn3toK/dsaMF0nStwsyJz78ZWMrkCX/3xG3PaqQF6RsI8/9Z5GkNeLO9B9/caj4tTg2P84K1TJHN5Prp5zYI8hoHxSFmeQBJFdqxuJOS/uUnRrMjUBT3UVpS7xV8PdN3gzKUxXjneXdb2b1ZknrhrLY/vXnPdmRiTIrNjTSMjU3G+9rMD5N82sI9OJ3jhrS7a6ipuKDulSCKrairIqxrnRibpn4wgiwIrq+YP/jTd4JXOXn529BxWReZ37ruDD25qx2Exzwj2QTSdZf/FgUUFC1sq/WxqquHZExd4pbOHrc11DE/HOTEwisNi5p6O5pvOth3be4qffvVZ/uBvv0jzupKiraEbHHn+BP/0p9/jL17499S2VfOD//IM4eEIf/h3X8QTdKNrOi9953V++fd7+dJff5YNe0r3ZvXbAp5ssYjTcmVc1nSdc+OTs8J9VpPCzqYGfFd1cxmGQV7ViM1kND0W66IBz0QyxX//9X5OjowhCAIhl4M6jxu7yUReVRmKJRiNJ9ANg8lUmm8dPk7AbuOJdR2LBioWWaE14C+ZxBaLZAtFMkW1JJlwY5eboqZzemScs2MTi2632NRfymctHhyous6+3n7+6yv7GIzEMCgR8Bu8HiocdhRJIpMvMBSLM55MEc1mefZcF+F0mj+7/x5WBm9uYbMU+M1OPtlwF5IgLoux943ihgIeu9OCIJYeZpvdjDfgYM2WRp7+xuuIosiq9XWYLSaKRRWL1YSiyFhsJvK5Ii/++AiXLoySTmYpFjUEgdmAyGSSsdjMdGyoZ3ryDD/9328gSiIPfnQL2+5pZ9/zp3n6G/uw2Ew8+LEtmBdw+y6qGs/sO83Z/gn+0289iH8Zg4LbBYl0jv/184Pv9mnMgWEYnOsf59jFobIWaVEQuHt9C/duar3uYAeYEcwT2LOxldO9Y/z8zc45A5FhwK9P9vLgtnY6Gm9sdf9uYCqZZnwkCYDPYePE4BjNFT4S2TyGwbyeRelceeefSZZwOyw3PSlexs1mybL5Ii8duTgvb6ejsZLHd63Bco1V90IwyRJ7Nrby2snestJeUdU52jXE8GSchtD1Oy2LgkB9wIvTYubIpWEiqQxBt2OO9s3VyOQLnBwYJVsosrW5lo/fsXbWgPEyNN2YndAXglWR+cCaVl7p7OFI7zCTiST7u/tJZvNsb62ntfLGOqCuRrGgkklm0d5WZtaKGtl0DmPmmS3mihSyhRJxVNM58Wone7/1Gg/+1h5W72gvEeoNg+AMuVjV9VKGR50bfOZVjW++dZxnZ0o4Flnm7z72QXY1N8y5vxK5/OzfeqwWnIsI5715aYB0oYDHauWJdR3cv7KFkMuJVZEpqBpjiRTPnuvimdPnSObzxLI5nj7ZybaGWhq8ngXv65DLwb/Zs5NkPk+uqJJTVfJFlf/26zfpnroxgrFFkfnKnp3Er+pA03SDbx85wbHhUQDaKvx8ZutGvNb5taRkUWTFIgGJYRj0TE3ztTcOMRCJIQoCbRV+ntq0jo211fhtVmRJJFtQGY7F+eXZLp4730UqX+DI4Aj/ePAIf3b/3fhsi1sn3SxEQcRyC4QErxfXPfPIisQnf2cPdkdJ/+TDv7kTq83MzvvXsOGOFgRBwO60YOglprWmlTI0TSurkBWJUK2PLXetRBAFrFYTkizSurrUBbXhzlYM3cBkkfngp+4gly0iCOB02xAlkQ/9xg4KeRVREnC6Fv6CpuNpTvaMMh1P37Q2yb9i6SgUNQ5fGGIiUk6m9blsPLpj1U2LxDltZh7a3s7+zr6yDqVwLMW+U5dorw++Z1zHo+ksp4bGZ3+v87lRdZ2L41N01AQR51ndzZcVKaga0WQWTdeXLei5GQxPxTjSNVj2uiJLPLS9ncBNLEIEQaDS5+SOjgbO9o2XlU6Hp2KcH5igvnLhCW6xffsdNur8bk70jaDqOvd0tGCWJbR5MtTaDFFZAKwmGcvbvhvdMDjeP8JkfHH9KUEQ6KgJsrYuRNfYFG92DXC0txTM3dXehPNdICsbBgycG+JHf/lz2rev4KHP34vZapo9X7fFgstiJpLJMplKz1NGyXF+4kr7dU5VOTM2zvbGOkxXZVuu5s24rZZFuSXJfB6XxcyXdm7lY+tX4zSb53zHlU4HjT4PeVXlX06cAeDs+CRdk2HqPZ4FTU8VSaLWU57V/MYi5aZrQZEktjfMlTkpahp7u3pmf/fZbdzV0jinPHg9yBSKfP/YqdlSXGvAx3948F421ISQRfHKtbFBtdtJe2UFJlni+8dOoeo6r/X0cVdLI492rLwtxo1bjesOeARBwOm+Emw4nKX0pCSJmMwLf2kmszzn59z3Siu9qzM2NocFm2Pu5OhwXVvYyjAMJqJJ+kanl0WB9V+xdMTSWQ6fH5y3fbilxs/6luqbzhwIgsDKugrWNlfx6vGeOe/lixonuoeJJDIEPO+NrF5bKMD6hqrZjiRVL62+RUGY13MO5ireXoam6+zv7OOh7e1Ueh3vKo/JMAwOnx+cN7tTF/SwrrnqpsvMsiSytrkKp81cRohOZQt0DU1yz8aWG8oiee1WGgLeWZHBVdUVyJKEppZ31pgVmRqfCwPonYhwdniC9uoSj6yoahzuHeZ/v36sFBQt8pUIgkCl28mulY2cGRrnl8fPMxKJU+tzs6Gh6oa4MTeLeDjB03/1C8w2Ex/5o0exOeeOv06LGa/NSiSTLfFTcvk5nVrnxidnu69cFjOJXJ6jQ6N8dqs2G/AYwNRMS7sAeK2WRfk2oiCwq6mBj65bjctSPr4LgoDHauGDq9vZe6GbaDaHquucn5hiT2szpmXyWLwdYBgG5yYm2Xepn+KM59knNq5la/38MiqCIOC2WvjExrW81n2J4XiCRC7PS1097G5uxHsTStnvFbz7+t3LAF03SGVL8vOJdI4Dnf1EkhnMJpnzAxNlfBKnzUJd0I08zyBSnFkpJ9I58rMtfRIOqwmf24bVVG5imS+oDE5GyeaLOG1mais88w7ohaJK31iEfFHFZbNQX+l9z2QiloLJSIrekfnTv9tW1d9QKWs+OG1m1rVUc6Czv0zMcHAyRt94BL/bvugEc7thNJbgh2+d5sLYFFaTQo3XxVce3DXvRLemKcRzB8+XBZane8f41vNH+K2Ht1Lhsd+Q8ehyIF9UOdM3Tn4eocnWaj/VgeXRkrnsqzZfB1jPyDTpXPGGAh6nxUxj0IskirNihNICz6lVkbl7VTNvXOinfyrKn/7wBVZVB7FbTAxH4gxMRWkO+rhvTQuvnl1YjwpKQdw9Hc385EgnpwZKJY9HN7bPESp8p1DIFfjl/9rLpTOD/O7/9zmC9eVlFZfZjNdamiR1w2A8eSWLpRsGJ0bGSBWK+G1W1tdU8Wr3JS5NRxiNJ2ibKdMYhsFUqhTwKJJEhdO+KKHVYTLxQHsrLsvCWaDL3J4Gn5foSImXOBpPohk68P4JePKqxlsDw4wnSte9wethZ/O13cZDTgeb62oYjpfmxZMj40Qz2esOeApampQ6hl2uxCyVkh26oZIsjiEg4lBCCIjk9QRZNYJTqSKrRclpMQRE7HIQi+SeMdrWyWkxMuoUmjFXfsRjasIk2UuLQiNLqjiBqmeRRNOcYy8F15yBSmq5UU52j5DI5Kj0OdnaXs9IOE4kkWEsnGBVQ5BVTSHO9Y/TNTBJ0Otg26p6JmMlY8h1LdV0DU7O6IDojE8nmU6kqfK72Nxed8MtpJcxnUjzz88f4XTvKCPhBIlUFgMYDSf4N3/787Ltd61r4j987kF8V5XFVFXjbP8EBzr7ONM7Rv94hFgqi6bp2C1mqgIuNrXV8MGda2irm9sdli0U+c4LR3nxSBe1FW7+8xcfpqNxrpeNYRjs7+znL77zMvFUli9+8E5+65Ft85Ys3qu4ODxVRiIFEEWBNU2hZfukgiDQ0VCJw2ouC3jCsTQDE1E2tdVclzvvu43B6ThBlwO7WeGhtSt59fzCk+PGFTUEvQ7GI8k5r6uazjNvnKF/PMLju9ewY00jLts7n+UcjyQZCcfLyJ6KLNIQ8i2blozfZcNunZ8XMDIVJ1cozvvetSCKAisq/TjMJirdDgLOhXV9BEFgc1MNX3lkN08fOs3poXFe7uzBJEvU+t08tGElT25fx8mBUV4/P78m1dVoDvrY3FTDM+EYbquFXSsb5zUsvdW4dHqA8GiUfCZPMpqar5se10yG5zImkiVROAGIZ3N0TUxR1DSa/D621tfyavclErk8J0fGZgMeYDbgMckSQcfiWkduq4UNNVXXzGBaFQXPVbyYVD7/jnosvhNIFwqcHBmbXfisDgXxL4GLYzMpNPquOL7HszkGojGaA9cXWE/nL3Jo8n+wJfAl6hwlwd+CnuZ4+Bsokp1tFb+PIlgYz5zgbOxpWpwPMJh6g4w2TVFPs9b7adrcjyIgEisMcCz8dfJaadyIFnoREAnZNrDV/7uYJDtZLUJn9IeMpA9joGEYOtX2razzfQa7vDTi9TUjjaKq8dKRLjoaQ0STWcbCCQQBXj/Rg9tuZX1rNQGPnf6xCL8+1sNd65u5ODzFG6f7kESByWiqFPAMTCKKIslsjqlYil3rmvn1sW7cDiurm5bmqL4QLosbVvldhHwuhiZjdA9PYbeY2NhWUxZQrWqoxKTMjfRzRZVnD57lV/vPldyZbWYaq3wokkQinWNoMkrP8BTdw2H+5FP30lTlm33oPA4rn3loCwMTUc71j/PtF47yp5/5AO6ZkpphGPSMhPnOC0dIpHPcvaGVD+1aveCqcSlw2y18+v7NVCwjIfut8wO8cLjr2hsugEuj07NmmFejwmPH77KznA7xDSFPmbItlFaWA+NR8kX1XXcNvh6YZAmbSSGdLxDLZAmn0gvaL9QE3Dx65yq+s/cYheJc/oqq6Ry5MET38BRtdRXct6mNravqCHocWEzyO1LqmoqliMTLsy5mRabqJrvI5kBgQbHJyIw683zQDZ2xbCfn4i+yyv0gH1jTSkdNJRUuO4Pp47iVKu5c0cA/fPEJzLJMjbeUkbIoMr93/518aucGWoJXSMSSKLJzZS0razzEUiXdHUkUcFrNVDgdWE0KbpuFb37Je03xQoAKZ+mZrvO72dy0fKrrV776KzeWMfPv7areviovn/2PT3LwV0f52f98nuZ1DVS3zB2nbSYFv82KMLOPiWTJIR5BYCgWpz9Sko9YUeFnQ00Ip9lEulDk9Oj4bNeUwVUBjyRReY2Ap8btwma69nMtCsKcLseipt9wt9XtikyxSG84Mvu7WZEZiSdmS4QLwTCYQzDXDWNR/aHlQKzQz1j2OGt9n8Iq+ylqaayyD2Em49YV/zmqkWVb8A+xSh66E88zkNrHas8ncJpq0A2N87GfMpk9w6bAF3ApdaTVCY6Fv86F2DOs930GWbz24m5JQiiiKDAajiMI0FobQJElrGaFjqZK1rZUAbDvVC8+l41NK2sRRZGT3SNUeB0YBrPy9QIGum6woqaCDa01dA1MMhZO3HTAE/Q6+IOP7caglKn58Wun6f7xFBVeB//2qXvLOA+iIJQFG1aTwl3rWwCBzW21rG4K4XfbEUWBSCLDcwfP8/2XjnGye4TXTvRQH9yCfFXZqrnKz+ce3sZ/+e7LHOjs5+dvdPKJ+zZgVmSSmTz/8spJOi+N01IT4POPbiPouTmehdWscM/GFppCpag8MpXA4bZiMpUUrKNTSXLZApW1viWL8aVy+ZsKeEbC8Xn5O5VeJ1azvKwlJofVjNdlY3AyVvbeaDhOvqCxRHmX2wItQR8+u5WJRIpfnrzA1qaaBQNii0nmid1ruTg0xf4z/fNe81gqx+HzQ5zoHqUm4Gbn2ka2ttexpimEx3HrbDgMAyKJ7Lxu85pucK5/Yl59phs7lrGgVUWuqJJfIMMjIFBlXc1o9iwFLUON006F67JR8XoEBASTyJq6ueOSJIo0VniB8u6vcKEXTSmwqmZ92XtQspBYV191zc+ULRQ51lciK9+9qhn3MmboZJMMBhSyV66LoRvk0jkUs4Jw1ThRUeenY0cbwYYAf/2Fv+eFb/6a3/zzJ5GuGvNEQaDS6UCRJAqaxuRMSUvXDfoiUUYTCcyyxMpggBq3i/bKCo4MjtATnmY8kaLOWyLoT2dKk61Jkgg6F1/A+e3WG1wovt/CnZLDfCJ3pQPsZ2fO8auzF5b0t1c38xgYpPK31vOxoCVpctxHyLphpoRVOv7lcSiS78FvXknA3IYgiFRZNzKYegPNyCEKEsniGGOZY9TYt1Nv3wWCgNtUx5jtOCPpt1jhegSXaWELqMu4ZsAjCgJep42JSJI1zVWzgl6SKCJLV1jgAZeDExdHGJyIMTQZxeOw4HFY6RudZmgySt9YZLZNtG88wtBkjMloipUNwRu7gldBuMqHSIDZB0Kg1BViWgJBUpJEtnU0sLW9HpMizZkQqvwunrx3Pef6x3n9ZC/dQ1Ok80XcV+1XkkTuWN3AR+9Zz3dfPMqPXj1Be30FG9tqefHwBV49dhGn3cxnHtxCW31wWSYcYSYYBXjzuZPEp9M0tVfTuqaWvU+/hSAIrNnWzOa72pe2v5vIwKiaTiw1f+ut227FNI/aaYmkq2GWrz/zIAoC/gU69aYTGVRteSbVdwpOi5loOotJkvjKg7vIF9UFuQzCTDbzdz68A0kUOXi2n/wC2YyiqtE/HqF/PMILb12gqcrHlpV17FrXRG2FB7tFWVauj27oxNPZeYOabL7Ij18/vWzHWhzG7DWJF8fpTb5JVovjM9Wz0nUvoiAhXsXn0Iwio5kz9KUO0e5+gKCllYHUEabyvYiChGHouE3VVFk76Eu9RaIwjk320ea6m2RxkpORn2BgMJrpZI3nUcCgN3WAVHEKr6mOZucOTOLiHAndMDjcO0zfZIRKt4M7V9TPqDMvDypq/eiaTs/JPlZua0WSRXLpHBePXiLUVIHlqhWCQMmKpGltAw9/4V6e/+arbNizmg33rpm9X0pcGSdmuRTwTKXTGEBOLXJmdJyiplPrdtEWDOCxWllTVcmRwREGIjEGozFqPS7i2Su2EGZZpsKxeMBjUZT3FQ3gZpDK57k6oa7pBpp+A+PejMnt8qE8uDSJDpxKFYJw5d65GjY5SEabIqOGUSQ7ieIwoiBjFkvZ1XRxkpwWYyh1gFihf+YwBoniCKqeRTPK7WbmwzUDnkyuQCSRIZ0tcKxriMGJKA9ub6c+5MVtv/IAt9T4GY9U8fyh8/hcNu7Z2IosiQxNRHnpcBchn5PGkI+uoUlyhSIvHemiocpbxod5N7FYYOSwmgn5nUiiQCKTm/H+mguLSeZj96yne2iKX5/o4dsvHiWWzvH0r0+RL2o8ed8Gdq9vuiUqk4lohqp6PyP9U5gspWzKPR/axMG9Z5Yc8NwMsvkChQX8YexWU0mg8m2IZ3NMJFK0VQaQpeu8JoKAc4HVbzKTKxO7u90xMB3jx0c7SeXy/EnoLn5yrJPP7dy8aDdTW20F/9cn7+GZN86w93AXQ1PxRY8xncgwnchw5tIYz7xxhi0r67h7QwtrW6oIuOzLQqDXNJ1EenHNmXcEVw3iFxOv4laqaHPumZFxK78XRWRC1lUMZU6Q10rcqIQ6gU32MJY9T411HZHCIBXmFmySF9lspi99iEprGxXmFoKWNiySg2bHTkySjTOxX5EuTuM2VdOfPozbVEWVtWPB09UNg/6pKE+/dZpkLs8TW9fQUulf1kxc45p66tpreO4bL2O2mgjWB7h47BInX+vkg196ANc85UbFJLPnqd2cfO0sP/3qs9S31+CvuVLODzkdpcVMvkA8m0PVNNL5ErcESm7jKwJ+zLJER2UQp7nUxt41FWZbQy2RzJXg2GOzYL8GX0kSxOWsjL+nkS2qcywzG7weQq5rl0zfDlkUSzYhywIDnXl4nIIyG+zMhxWuhzg89Xe8NfU3WCUfscIANbbteM0ts/sVEHEqVfjNbbN/57esRBFtWKSlaW5dM+AZm05QKKr83kd2Mjad4NmD59B1nXs3zXUct5gV7tvSxn1b2ua8/tT9m2b/r+k6XUOTrG+pLtvudsBlZ+exSIKe4TATkSTJTI5cQaUw0/Ksz7QPz1dGEAQBr9PKZx/awqWxaY53DdM7Mk0kkWFbRz1P7tmw4CR9s/D4HXgCTiZHo5w9UrLuMFu3JsNEAAAgAElEQVSUeS0IbgUK6vxu1lAKJCVBoHdqmjPDE3hsFjbVV3N2tKRAuqLSz4WxKTpHJ4hnc6yuDjKRSJFXNdbVhmgPlQfFAmBW5g8GCkXtPUdQnEykaPB76A9HsZoUopkc12IdiGIp0/PFR+9g+6p6nn/rAq+d6C0ZgC7y+fNFjYloimcPnee1k72sbani/s1t3L2hGbfdiiDcuPCgbhhlRPJ3Gyk1zArnXdjlhUmZgiCgCFZkwTxLdpEEGYccxCwO4zHVEC+OEc73MZ67QNC8As1Q0fQikmBCEa0oog2r7EbVCyQK4yhiaX/Njh045HLhwEy+wC+PnyeazpIpFDk9MMbJwTEaA16evGPdsmvvWGxmPv3vP8rTf/ULfvhff4au6dg9Nh783B7u/827Z+0mFLOCyXqlG9Xlc/DhLz/M3/zeP3Lo2WM8/IX7ZktbIZcD80wnYUHTSOTyDMXiDEbjSKJAezCAe4Y83BGqoNJpJ5nPc3J4jI+sW00knaEwk40NOR2I76FGg3cbsjg31/XY6pX8xpYN100dEBCw3kDjkCQo6KioRm5GjgCKepZUcRyz5JmzrSAsHqfa5SAW2YPb1IBTqabBcRcV1g5k0TzzfiVmyYXH3Mga7yfftmi5TJW/Nq75KWsr3Phddr713GFkSeLO1Y34XDdGlBUoGUd6HLdfv7+qaZztm+CZfac52T1CKltAEkulMkkUEUWBaDK7IJH0MgRBoL2hkif3bOBrz+xnKpYi4Lbz2Qe3EPItI2Hzbdi0eyVvPn8Kt9eOszlIeCzGs987QMvqa9c1lwO6bix4bcTSDMpwNEFOVal0ObAqCm6rha6JMEVN4+JkGFXTUPWSu3Qsk2VrUx3HBkbmDXiABWv5qq5f83u63eCxWTk3Osl4PMmzpy7gtVmWnAk0KRKb2mpZWR/koW3tPHfoPCd6RhibTlK8Bl8mnStw6OwAnZfGefFIF0/uWc/W9rob7qQyDG677JrP1EB/+giVljiyYMFnbiBZmCClhhEFmWRxApvsI1mcIK1OEyuM4FGqS4M4l8vjJWpuTktiGAYWyYlhaLNBgUVyEi+MMpnrxmuqJ2hZQUoN4zZVoRsqFqlc1C6varzS2cuJgVE0XcckS6wIBfjdD9zBitDNKyvPh6a19Xz5q58nFUujqTomi4LL78RylVXPU3/6BGpRw+krZQsEUWDNrpX8v8/9GRaHBfGqMlvAbp/VzSlqOrFsjlOj4+SKKiZJYlNd9ey2DT4vjT4vveEIneMTxLJZpjNXBzzO28Yc9b0Aj3XuGFHUdRxm05LMUpcDdjmILJgZTO3HIYeQBIX+1Ouk1Sn8XF9VIV4cIqfGcCrVuJQaBEEkWRzDqVShiFbsSpAa+zaG0odwKbWzmZ+sOo0oyFRa1yEsgZJ8zS3sVjOf+MDG6zr5hSCK4m2Z2QE43TPGX37/VXpGwlQHXDy0vZ3W2gABtx2rWcGsyHxv7zFeOda9pP1dXVsVRQFV029ph0xNUwUPP3UnmWQOA2jf2AAGBKo81/zb5YAkiQuuLDRdxzAMtjTUcLh/mBODowQcNuxmE7IoIgkiZlkilTPY1lg70zliUOV2cmiBMhmAqs0f1ciLnMs7DQNjSdmmlqCPSDpDPJtjPJ7k4XXtC3ppzQdBEHBYzWxpr2PjihouDk9xoLOf/Z39nF8CUTiVzXP4/CAXBid5fNcanrpvIxWehduxF8NCk5YiizRU+so6JG8FZEnENtPBtdJ1L4Ppo0xku/CYavGa6ogWhnEpIURBJFGcwCw5iBQG8ZhqZ7REJgmYm7HIbhrYjF0JUGvbgEupnAmSJlnlegC3UprQa20bUI08k7mLuJQqWp27GcqcZCJ7AavsoYIVZedoNyt8csd67myrR9cNAk47GxurqfW5b5k+lyiKOH0O4qJGXtOo9ZdnvbyV5WOGYlKoai63bLncSt4TjlDUNKLZLKdHxyloGkGHnY7KKxxNkySxqbaafb39RDNZuibDc0paIZfjXwOe64DPZsVlsZCcIRwPR+Nki8V3LOCxyF5Wez/Bmcj3eG38z1FEG37zCmpsW69rP7qhkdeSFPQ0ndEfIgoyGKX8dovrAVZ5PoIiWlnl/ggAZ6P/gmrkERCRBBPtnseptK5b0rHeF8KDN4t8QeUnr5/m0ug09ZVe/t2n72V9azVm5QqZ1jCMJZWjDMPgZPcI39t7DFXTqQ64mIym+Nbzh6kOuKiv9N6SwOfY6xc49FLnrPT7qs2N7Hp4/o6RWwGzIi8oTZ4vqqiaTn84ynAkjkmRKGo6J4ZG6QtHOT44SqZQJJUvcGZkgkqnHafFjCSIeO3zZwMNgwV1ViyKfNsIOhpGaeW7FFQ47bRVBrCalBtKMV+GJIm011fSWhPg0TtW0TMyzb7TvRzrGmEimiSbX1ifJpHO8cNXTzAajvP7H9lFXfD6AmZRFDCb5j93j8PKH318Nw2V19b7MCgynX6WaOYFZNFLwPE4TvP2JZ+HIDCrs2WRnLS59sx5v8mxnYI6zlT6x1AcQrauoMW5c959uZVSt9blstQq9wfKtrHJHjrcD5YdYzGYZJl7V7csus1yIlcsuZLLoshANMZEKo1VlvFYrai6Tiqfx6LIOMxmoplsyStRUdANg2S+gGYYVNhtpf/rOj6bFVEQqJ7hf6i6zsXJaYaipW7N1aEgnreJ2W2pq5mVXzg5MoYiShQvZ3hcztvmub2VWK7h324y0V5ZwciMgODZ8UkimSwe6ztTQREFmSbHHoKW1RT0NKIgY5MDaHoBHbVUHkagyraJ+6v/Cqcyf7VhLHOM3sQL7Ah+BbepHgERHY3h9CHORn9Eo+NuFFMtZsnNWu+naHE+QEFPIyDMlJH9s+3t18L7MuC5+oYyltCOOBVLMTARQTcMdqxpZG1zVZlCa76oEktnF+VGQMml/ZvPvcV4JMGeTa18/J4NfPXHr3OqZ5TvvXScP/jorlvC4+k+M8RDT91JY3up9fWdXilZzQq2BcxcU9kCmqazrraKNTUlAUJREPjIxtUYRskfZzASo97nIZrJUutzs6oqiAB8aP2qefdpYJQ5pl+G22G5ruzIrUSJ03JtAby+qSg/OnyaGp+bVC7PxfEwX7xry7xq4EuBIJQ6FCt9Tip9Tu5c3cDYdII3z/Sxv7OfUz2j85qQQokD9fqpSzisZv7wY7tn9aSWAkkUF+We2C3mJSktG4ZBtf/TDMcmcVq24LbctSjp8UagSJV4rQ8wlfohcHuV4ZYbumFwYGCQ0USSapeTvKrSNTVFIpej2uWixuOic2yCvKqyta6Wn3WeY0NNFY1eL2fGJ5hOZxhNJHh01UrOTkxikWXqvR7uqK+lxl36PouaxtnxCcIzmi4baqtwvE0zp8bjojXg5+jQCGfHJgm5HGiGgSyKVNjt73s+soAwx0dM1fQb7pBymE1sb6jl9Z4+VF1nKBbnUP8QzfNk7W4FBAQk0YTL9DatqLcNWWbJhVla+JmPFfop6GmC1jWz2+mGOsPfMWbncEEQkAVL+fGuA++7gEcQhFmhwYKqkUjnqPQuzp3RdH1WME+WxbIMjG4YdA1O0jscXnAfhmGQyhb4/svHOd0zRmPIx288sIU1TSE+df9m/sePXuelI1201VXwxO61S9bGWSqq6v30nh3G5rQgyyJWuxnnO+gnJQoCAbd9VoTsakSTmdk266sDscteUS6LmV0rGklkc7RVBqjxuGa3W8hPStcNpuPzC2z5XPY5GknvJjRNJ5G5dstkPJtjVXUFH9rYQUHV+MfXD7McvreX72VJEqgNevjEvRu4d9MKzvaP8/yhCxztGiKRzpV9Z0VV45Xj3Wxpr+WBLSuXfL9KooDHWXJofjuXp6jqRJJLEzgrnbcEglj6iYBu5Iln3yCZP4EkWPDZH0YRK4hmX0HTkxS0CXy2hzDLtUQyL1BQh1GkIH77hwGIZV8mpw5hlkL4bI8gSx4E4fa4T2418qrKUCzOntYm6txu3hocZl1ViPVVVbzY1T2bUZxKp0nm83htVh5oawXg5OgYsiiwra6WcDrDSDxBo9dDPJubyfCUJilV17k4NU0sm8NjsdBWEShrq3eYTWyqq+bo0AiDsRjxGR0Zr9WC3Wx6Vz3g3hEIpVLUZUyl0kQzWWrcruv+7LIosr2hjpaAj67JMLph8PTJTjbXVbMi4L+m3IRhGCU9HoF3dYEYsKziUvIVDk1+Fa+5CRBIFceI5HtocT2IbR7C/43ifRfwSKJA0OfErMhEExn2nbxEyOfCMVPq0XQDTdPnaO14nbZZIvWZ3jGGp2K01gRmDQAvDk3xnRePMbJI26+m6bx2oodfHTiHSZH49AOb6WisRJJE7lrfQtfgJD969SQ/fOUEK2orWNtStaxZGEmROPvmRbpODoIAa7e1sOfxzcu2/6WgvtKLIAoYb5upxyNJMvniHGPBqyGJIjWe0ipzqYilsgtmeKoDrpu2K1kuFDWNcGxx5VMoTQTnRqfQjXNEM1mimRwvne3GZjKxo7V+2T6PIAgEvQ4C7mY2rqhh/5l+fvDycbqGp8pUspOZPM8fusD2VQ1zbFiutX+v04rbbinzuMoXVUbDi7fOLwZdz5EudGJRGnCY1mOSKtGMHIncQXy2B/DZH0YSHBgUMUlBJNFGNPMSDvN6csU+0oWz2JSVJHKHMMk1eKx33/C5XI1cvsiFC2O43VaaGq8ts5HPq5y7MEKwwkVN9dLaaRdCeDpF/8AU6XQBs1mmpTlIRWCe9nJRwm0x0zUZJp0vUtBUzHKp9Jsq5OkJR/DYLMgz5pqKWGrW0PRSR2qFw0GVy4kBVLucNPt9NHg9s+KDoiBQUDUuTUfIFos0+700+Mrd6i2yzNqqSuwmE+FUZtZc1G+3YVPeeQuNdxqiINBWEZhdGA7HE+zr7ac54MO+BAXpqyEIAisCfj60ZhVfe/MQ6UKRCxNT/MVL+/g/dmxlY20V1nmuqW4YxLI5hqIxLk5Ns7aqkvbKd08epsLSwdbAlxnOHCRRHEFAwCy5Wef7DULWjcjC8pXormsU1Q2DeCrLVDyNqulIokBTyLdsppDLAUEQaKn2s6G1msMXBvnBy8c51z9O0OtA1w3SuQIdjZU8vnvtLKnRaTOze30z5/on6Lw0xl9+71XWNFdhMclMRlOc7R8nly+yY20jRy4MlR3TMAzOD0zy3b1HSWXzfGjnah7ctnJWQ8VhNfGxe9bTNTjJye4R/ulXh/jTz3yAkM+5bCuaHQ+s444PrAGgWFDJJN95LZTWmgCSKJRNnLFklvFIkpbq5YvU+8YiZHLlpSJJFKgPepcWIAjCgtf/Wt1NS0Uyk18wE3UZhmHgtVtpr6ogr6pYFYVVVRXEszmKC0gg3CxEUcTjsPLw9nYaQl7+2w9+TWffeNl2nX3jjEeSSw54oKSs7XfbywKeXKFI31iEgqotSQz07ZBEO17b/aTyp4lmXsRjuw9FCqJIfixKMyYpiGHoJPNnSBVOYTetxTA0NCNLQRtHEExIoguv7UEscuN1H38hJBJZvv39/axdXbekgCedzvP0T45wz13tNxXwTE+n+OY/7+P8hTE8bhsWi8JHPrx53oBHlkTubm6iZ3oaVddo8vmQRRG3xcJDK9uAEk+n1e+jyuWcNQWdzmSQRRGbonB0eIQ9Lc1sr68lp2ooM8KzbosZj9VCJFNqrxeARp93ttR1NQRBoNnvo97r5vzEFMw8Zn67bVGX9FuJvuko5ycmSeULZApF0sWZn4UCfZHo7HYXJ8P8xUuv47KUHN3tJgWbyYTdpNDs99ERuraIrgB0VAVp8Hnoj8TQdJ3vHj1FLJtjd0sjfrsNwzDIFIrEslnShSKbaqtp8M3PpZMlkSfWddAfifLM6XOous6B/kEGozG21NfQEQpSYbejSCLZokokk2E4lmAgGqM/EiWezfN/P/qBdzXgEQWJkG0dIdvSiMc3g+uKVCKJDN/cewRZFDDJMiZFptLrvK0CHoBKn5MvfuhORFHgwuAkB870oVNK21lMMl6ndc6kLAgCD21vJ57O8eJbF7gwOMnZvnEUWcJikqmv9PLFx+7A67Ryrn9izrEMw2AqluKfXzhC/1iU9vogT31g02wwdXn/tRVuPvvQFsamExw+P8hPXz/NFx7bfkNuzlejkFdRFAlVVVELpdEjPB7n7NE+HvnUnTe17+tFS7Ufj8PGVCw153UDONUzyo41jctSo9d1g7P946Ry5aWigNtOfaVnScRAUQBFEsuCm8vlyeVA32hkUV2aSDqDmBUJuuw8sm4lhy8Nkcjm2dRYQ7XHOXOety7NL4oCqxqC/Mb9m/jzb+0l+7ZzzRVULo1O09FY3qGzEEI+J7UBN91DU3NKZYYBPSMlfatrkaENQyOnDlJQx8iJPdiUNiTRhaanMMs1FLUJcsV+FCkIiFytw6HpCTB0JMGKgYoomLCZVpHKn0KRfBiGjix5KGphssVuilqYTOEiNlM7krj0wO5G4XZb+eM/fBCb7ea83i52j3Omc5jPfWYXG9bVl7zFFvFT8dqsbLWV8x9WBsuNFwP2Ujncpig4TCYi2SxVTichp2NWV+cybCYTFQ47kZlsjUVRWFMVnMNVuRp1HhfNfh8XJq7cH367bd5sxDuB13v7+YcDh8mrKrpuoBn6zE9jzmJjLJHkx6fOzloTSUJJrkQRRR5f27G0gEcQqPd6+OSmdXztzbdI5PJMZzL84Phpfnn2AsrMNdN0HVXXsZtM/McH9ywY8AD4bVZ+d+c2JEHg2XMXSebzDMcTjHQm2XuhB0WSEARmNeTyqoo287nezrF6v+O6IpVUroDLZua3H9q+7ByU5YQkimxoreY/ff4hzlwaYzySpFBUsZgUvE4rK2orsL7NeNLrtPH5R7axe10z3UNTJLN5TIpE0OOgoylEhcdBNl/kC49tx2kzzzEtzBVUNrXVsqY5xPrWGhqrykljoiiyvaOB//PjdzE4EcPtsCyLXsnpQz2s2tTIWy930n16CFESSSezuLzXr7h5s/A5baxtDvHq8Z6y9452DZHJFZbFKTuWynLm0vi85pC1FR4al9gJJ0siVouJzNu6lgwDJqOpBf5q6TAMONEzsmhL+NH+EQwMHlvfztG+EQ70DFLjdfHc6S6+sHvzDZOWrweSKNLRGKKlJlCW5dENg+nEtUtyV8NmMbGmOcSBs/1lwV7PcJiLw1PUBK7Vem1QUIexmdpAECnq00iiC1WPU1DHsCorcFt2IAhmPNa7UMTSMycIIg7zZjQjQ1ELE3Q8iVmuRxY9CJjJFnsRBRt21lDUomh6Aod5AwVtFIvRiMStD3gkSZw3C3M9MAyDeDJLsaixqr0av//WPO8Os5lHO1Yuuo3NpFDhsNM1GZ79fTFHc4uisK46xKvdl8gWS89eKeB5dxbOuWKxpBK9BPKwPhMEqTpcTk+JgkC6sPQFkkWWeXLDGgqqxneOnGBqRnzxcsD4dmj/P3vvHVxHdt/5fk6HmzNyjgRAEATJYc6TODPSaDQayUojW7LklWXJ9tpeP9d6V6+eXLVb++x17Xvrtb3BKwet11ayZjQKHkmTI3MGQJAgQRCByMC9Fzf37T7vj74ECQIkARIcyc/6VqEA3D59um+Hc37nF77fO3h4hRBUh4L83sN7aSsr4Zsnz3JhcgrTkqQMA4yliyZKvB72NNW/Z0nOPwtY0RPmceqkcwbvnhugNOhDVRVqS8NLuqcnM3PM5q4rPgshcCoaIYcHv36dMMmwTK6mouSsPCUuPyGHPeBIKUnks1xNRdEVlRpvBF1Z/uAvhKAo6OXBTc3L3seha6xrKL+lmKnX5eCjD21cdJzasjDPHriza1pTVR7ZvLo8RM0d1TjdOqlElu0HOoiU+Jkej9PfM7Kqx1kO/F4nO9fV827X4onuytgsh7qv8PDmNffksbAsSfflMbr6Rxdtu0bAt1xiTIeuEfG7F4WcpJRcGJrEtKxbltovByNTUc5cGr1tFUYub+J16UTTGQ71D/LM5nbWlBXzxy++aVev3PXRVwanQ1uaELSwKlwpdnXU8503zjJyU85OKmvw4qFzbGyupOg290kIjaB7L0H33gWfRzyPLWobcO1Y8L+uRiguJCrfiKB7F0F2zf+vOYJ4HIv5cW6GaVpcGZzmtTd6udQ/QT5v4vE4eHBfG7t3Xt8/FkvxzX84zNmuYTLZPO1tlTz15MZ542ZuLsNf/NXrjE/EyWYMPvjUAzzy4MIqRMuy6D0/yo9f6mJsPIauq2x5oIH9+1oJh7xkMgavvXGOYycHGBiYYjaa4o/+0z/idGhUlAf53Gf2Egzef6PtRhR5PPzBEw/P88HoinJbjwTAM53t7KyvKUzmFsXuLJrVj8QLSgnINGBS4g/wR089bk/c2MnNrmXwzARdLv7No/v59b32s+F3OnDfYr9f2LCOfU31dy0vKrBJAFcCn9PJZ7ZtYndDLYcGhjg7Os5EIknONHHrGkGXi5pwkLbSEjorlyeu7XM6+OjGDvY1NdA9Os7x4atcnp5hNp3GtCRuXSPs8VAXDrGuvJQ1JUWU+X34Xf+EVJbvESsaTzVVQVMUDvZcAexB8tOPbMbhX/yCfePyEb526V1ylj3xaYpKidPPxkgNH6vfyoZwDZqiMJGJ8+WTz3EhPs4XWx/ks817ALCQvDJ6jv/r1Hep9Rbx1V2fody9mK30nztChZXd7ifW4w24cTh1ispDBMLv7aAH9kpna1sNTZVFdN8U+oslM3z37W7WN1XcsWrudogm0rzwTveSCcvFQS/7NzYum8vD49SpLA7Qd1P1ncQOvQyOR2lYwlu3HBh5k9dP9XN5dOa27RqKw7x87iJnhsYoDfioKwqTKVS0vZf1KlkjT2wJhXMhBP67kJ2vLgmxZ30933zt9KJth3oGeenoBX7hwQ1oP8Oe4mu4PDDF//unP8bp0Ni5vRmfz8n4eBwp7eo3ADNvcfT4ZTrWVbNjWxOz0RQv/uQsuVyez31mLw6Hhtut86GnHmBoeIa//l9vEY0urli7cHGcP/1vr1BTHWHPrhZmo0le+MEJJqfm+OVf2o2mKTQ3lREKeTlxcoCZ2SRPHOggFPLi9Thwux2MJKO8OzFA1szTEixlS3H1fZVs0FSF2vDK+JpCbpdtJEiJtMaQya/ZNo40Ee5nwBwCOYfD8ywNRSvPc9JUhZrw8uaLYp+X4juIlt4PuHWdjooyOirscPHNBtdK338hBLqq2gUgQT+PtTUvacSJm/b554QVGTwhr4sP71lP79AEAsHa2tIFAqI3QgIhh4dPNGyjLVBO2sxxanaIF4e7uJKc5t9tfIY1gdL5tpqiciU5Q87K41A0TGnRFx9HFYtZc6dTKQzLpNjjRVMUsvk8M+k0bl0n5Lo/WlU/69Ad2nwZotOtU15zf6jpbwchBJXFAR7ZvIb+0ZlFBHcnLgzxwtvdPPvophWHtqS01a+/9043R84NLtquCMFDG5upL1++geJ1O2msKOLN0/2LpCjGZuZ4+fgFPv3YllsS6d3uXM8PTvDcm2fuyMHTWl6Cz+0gns7RXBaxSdlyBh/c1L5kqajtOZMLSDHvFZaUDIzO0L+EcaapCtUlK2frdjo0Dmxt5Z2uAYZvqm5MZw2+/spJSkI+9nQ2rFoFmmlZpLMGLoe+aoaUlJKXX+3GMi1+9VcepGVNuZ0PYUksS86/c5aUlJYE+Pzn9lEU8WGaFlPTCS72TxCNpSgtCaBpKk2NpYUE48W5E5mMwUsvd+PxOPjSFx4mGHBjmhZCwDsHL/LQ/jaam8pY02z/xOIp3nrnAps21lFeFpw/32+eP0mDv4hiT5CV6Az9NCABjDMgfAjvr0L2TcgdASUMMoM0x0HoIIKABVYUyINwg/CCTIHM2m2kAUrhO1sxu73wIxQfUuYLn2VBuECECvvOAQooIUAHmQSMQp9ehPAhZbrQTgUlhBCrl2t04zt8u7uUNdOkzQQSiUNx4lFvXcYu7I7v2CeAlBbIOaRMgjRBqCBcCOEHVm+MWfrYBkbqOSzzEg7fF1GU64atlR8kl/xLNNeTaM5tq3bMFY00sVSW7x3swetyYEmLS6PTfHzfBgK3ICZzqBrrQpXsKG5EAjtLmgk7vPz1xbd5a/zCvMEDUOctYiwdI5pNUeoOYFoWF+cmKHcHcasLB4c/OXSQ81NT/N8HDtAYjnBi9Cr/4a03eaypmd/cvoN/jnj5O8fY/ug6KmqLmBqNceilLj70uX3v+XmoisJjW1s51DO4yDDJGibfeu0UXpeDD+5eh8/tXDbraCpr8MODPXzj1ZNLEubVV0R43442XCswTnRVob2+jKDXTfQm70bWyPPdt7porSlhz/qGO3JaXINlWfRfneG/fvddBsdm79heUxVaC1ph1wYXr0OnraJkycHqmvzDpjVVNFcVEfK572lQklIyPBHlG68sfV3LIn7qyla+wlaEnQz95M52vvajo4tCnCOTMf7kH94kmkjz6JYWAh7nXX+PfN5keCpGz8A4PQPjfPLRTVQVr4432DBM+i6NU1tbTHNT6bz3UFUFN6ZXaapCU2MpRRGfTZCmqZSXBei/PEEut7yKv2gsRf/lSTRN4eixy/OzVTSaIhpLMT4Rp7np9snjEpjJpnmwMkJHqAJVCHJWnnPRcTYVVZMwsgzMzVDhCdA/N01e2rIv6yMV6IrGYGKGOSPLdCbJunAFZW4fl+amGU5GCTvcNAdKGE3Fmcom8GpOEkaWNYFiwk4PXbNjzGST1HjDNAeKlxkOlmBOILQGhOJFarVgdIHiRRpnbaPEmkN4PgnCAZkfI61ZQCBcT0DmJaRMAXn7M+fDoASR2Tds40UpQng/axtV2VeRqAi1BtwfBOMkMnccZA7h6ATHPkh/B6woEoHQNyAdGyDzIljTSJlDOHaDY6ttGLyHGM8McXL2NaZzo2wM7WdT+MF77uVgOgoAACAASURBVFPKPKZxCiP5d5hGD5ADdBStDofv11H1Tu6vsSyxzAHM3FmQN409QkMoYcQqlqTDCg2eeDKDAD75oJ3H8hf/eMhOZL4DE6souOd9upPOcDU+3cVgcuFqssYb5mJ8gulcklJ3gJiRJppLUekJkcwvrMbJ5POk8wZXolEaQmEuz86SNgxypolpWaQMA5emzWe8W9IimbM/0xSFvGVnquelhUDg0jQcqs3Lk83nMS0LRVHI5PMoAtyajqYoWFKSztvhBtOycGlaoY3AresIwJQWmXyevLW4b1nYXyvwW2RNE0UIvLp+17kiecOkv2eES93D6A6NSFmAyZEZzFUqq74blIZ9fOrAAwxPRLk6HV+wbXYuzVd/cIjB8Vme2beeurIwTl1d0qCwLEkun+fqVJzn3jzLi4d7FxkmAEGvi48/vHGeO2m5EEKwoamS+vIwpy4u7ndsZo4/e/4dkukcuzrq8bqdqMriUnYpJYZpkUhleadrgG+9eorzQxPz7mRFiNuWlt/cn7hNOGtsZo6//fExnnvzDGuqS+hsrOCBlmoaKiK4nDq6qhS8G+KWxqQlJfm8RTqb42TfVb712imOXxhe1E4Rgr2djYQDdzfouBw6H963nnNXxnnrzEIvmgRGpuL86XNvc6R3iMe3trJxTSXugndGVa57dqW0+VYtyyZKMy0LwzAZnYlztn+MnoExLg5PcXlsBpdD5+k9HXd1vkvByJvkDRO3W79toYZQBF7vQuI8RYiCC2N52SH5vEkmazA3leHl13oWbGtrqcDvu7P3WhGCD9S284+DPRydGORAVQs+3cm3+k+xqaiayUyC7w128WhlC3914TBP1XZwJTHD1VSMPWWN/K++YzQFiihz+20ve2ySl66ep8wd4OD4AFuKE/REx/FoOpfmpqnzhrmaihF2ehiYmyHocHF44gqfat5Mvf9uvcyF66bWI7y/gkx9wzaC9E4QTlACtifIsR2wEM5dyOzbCMcWMAdBWYcQHiQq5A6C9zPI7KsI5x4UfRuQt7chEYofaY4jc0cRjr1Iaw6htaC4HgMEMt+FTP8AHJvAmkQap8CxAcF7K4Bd623BlAZ9iVN0hvYghCBvGViYmNJEQcGhuMhLg7zMFWQXnCiomDKPIXMoKChCQRP2cyqtSbLx/4gQbpy+L9rX1Ypi5i8UvFg/Pc+golbi9P/2qve7IoPH5dAwTJMj54ewCiRyzrsQArRvxsL9wg4vOWkynUkgA5KBxBS6olLlCdEbW1g5oiqCoMvFYCxGJp9nMBajwu9HFYLpdIo/fOstPtK+jl01NQghGI7F+aO33+JXt2yls6yMQ8NDvNjXRzSTwZKSbVVVfHRdB36nk1f6+3ln8ApVgQA9k5PkLYtHGxv5YFsbQ7E4//3YUWoDQXqnJtlTV8eZ8TE0ReVLW7dR7vNxeHiYH164MN/3lsoqPt5h921YFn9x7ChFHg/RTIbeqUl8Die/tWMHlf7lk+4tuJbCHmzzeZPp8RhGzsDtdbHtkeUna682VEVhW1sNnzqwma/+8BCzcwuNiXgqywuF0NS2tbVsbqmmvMiPy2FPKpZlkc7mmYwmONk3wsHuK1ydii1Z7aRrKu/fsZb3bWub5z1aCSIBD49tbeX80OSSGlP9I9P88Tde54GWanZ11FNfEcFTMCysQpgtlkhzYWiSg91X6BuZIn5DflHI56a5qohTF6+umoq4JSWT0SST0STHzw/z7ddPUxz00VJTTHN1MTUlIQJeFy6Hhq4VjG1L2oZ+Lk80kebiyBQnLoxwYWiCaCKzpEHWWFnEo5vX4L4H6oSigIfPf2AHM/EUPQPji44zl8ry6vE+jvUOUlkcpL2ujPryMMVBn11JKWz+nnQ2TyKdZXxmjpGpGFen4kzHkyQzBpmsMd/vvdI83AynQ8PtdhCLpclmjSVDUddxbxOEy6UT8LuorSni1z7/IDeavUKA2728EuItxbU0+os5PHmFb/Sf5OONtvjztStvSYmFJOL08EhVC92zo7w+epHNxQZOVWNHaT2twVIsKfnHoW6OTw2zNlRGxsyTMg3cms6GSBWzuTTbSms5NjnExfgUU5lkwVCSJPPLrVoSoJYgjR6wkpAfssNZwlFgwRbYtAN528gROsKxD5k7bX8j4QYcIHz23/IqMvNDhGMPQgkgjUIOmTTtdteOKRPIzEsI72cRRpdtyCBtj4JSBKIwNUoLtBqE+8OAXjjez0aS74W5E4xmLoMEnx5kc+RRBpLd9Ce6kEjqveto9HVwevZNprJXcaouVKGzvegJXKoHyxzBMsdxBX4PzfV+hFBsygaZKVx/e5GOTGGZwwXPmokQARStFqEUwqhWEjN/HkWtRlELaSrSxMpfBnIo2hqE0JHSQlrjWPkhQCLUUm5eDEgriWmcBpkHoaFozfN9rgZWZPAUBbzsWdfA0QtDCCHYt75x6cqOm3BNLdqwTM7HxkgaGZr9C4mOXKpGhSvIUGqGvLTon5vCqerUeCOciy6syFGFQoXPz3A8xnQ6RSybodRjKzv7HU6KPR7eHrzC5ooKXLrOibFRTCmp8ttEfwGni8eaminz+eibmearx4+zsbyCTRUVJHJZDg4P8czadn51yxZOjY3x7e5uHqisxLAs+mdm2FVTw1hyjhd6e/nFzk6+c66Hc1OTlPt8C/q+ODPNV08cZ0N5GVsqq5BScnVujkPDQzzbuYFHG5tI5LJE3HefYKxqKmvW1/Chz+6jsqEE312uxlcbDl3j6T3rSKSz/M2Pji4yJoy8yeBElMGJKM+9eZaA10XA60RXVfKmRTyVIZbMLCIxvBG6pvLoljV85oktt9TxuhOEEDz8QDOHeq7w5un+RdsldsL1aycv8trJi/g8ToIeF06HhmVZJNI5oon0ksaMqgie2tXOppYqLo/OLCLiWw1kjTxZI890PMX5oYnCd7I1q/weBy6HbnuYLEkubzKXzjCXyt1RwT3kc/HJRzbSVld6TyEzIQRttaX87scf5D9983W6B8YW5UtZUhJNZIgmMot4rn7a0DSVDZ01vPjjs5w4Nci2LXZ40zQtMlnjtrw3N+PaNb/+9eWC+xAKeuhYV83b7/YxNZWgsaHEXsnnTWajKXzL8PAYlkk0mybi9NAaLOHElE2UakqLWDbNaCpO3LAN8jkjSyyXJp7LoAkFTSi4VA2nos1XUno1J52RSr7QtguJJGnk+MFQD6pit9cVFVUIArqLjnAFT9a0k8hn8WrLM84EIPUNkDuCTPw/gIVwPQPWODJ3BJJ/DeY4eD4B+X6kcbyQi5MrhJXETT8qQoSQuUMg/POGi3DugsyPsXIHEUoVuB4E4URmfgQyYef1IAoryBued60eodYg09+3vR7OfQjlvc+PXAppM4kE9pd+2PbeoKIrLgJ6hJgxTd/cSUqclYykL/J4+S8xkr5EV+zdG7Sp/ICFNCeBPFLqtl6duHE+ymNkfkAu+Td2jhQCMNBc78Pp+wJCCWGZQ2SiX8bp+zUUT6E6UmbIJf8GaU3gCv4hQo1g5c+Tjf8RljmAEIHCdbzJW27FMNLPY+UvY+X7cQW+cr3PVcCKq7Q2NlWytrYMIWB4KkbOMHE7l3b15i2TweQMAd1NwshwbPoK3x8+xdpQBXvKFpaDelQHzYFS+uITZEyDgcQUpS4/AX3xBC4ElHq9zKTTjM4lsCxJpMAM6tI09tc38GeHDzGWTFDlD3BwaIjt1dVEPPaNXFtczGQqRSKXI+JyowiIFjRdJFDu8/GxdR2U+XwUuz28drmfkXicEq+PkNvFAxWVZPJ5DNNic2UVb10ZJFVITm0tLmYqmWQulyPidqMKwWzm+orfME3WlZbxWFPzssorl4uqhhJ6jl8mVOynsr6EbDpHUdlPt6rN5dD4+MMb8bh0/v6lE4zOzC3Zzp7w0kuGq24Fv8fJ+3es5bPv22preN3DpFwU8PL5D2xnLpnh9KXR24afEqksiWVoYzl1jffvaOPZRzcxl84tyTx8vyAlJNJZEuk7n+fNEEBJyMcvv28rB7a23lNZ/jUoiqCjsZx/86lH+OoPD3GoZ/C2iu0/a3jkoXaGhmf52v9+m5de6S54fFKsX1fNM08vX76lu2eE3vOjTE0nmJqe48jRfrLZPCXFfrZuaSAU9PDkExsYHYvxJ3/+EmWlAXRdJRZLU1UV5l/88r478p/lLYvvD3ZxJTGLT3fwaFUrVd4gW4pr+NOetyhyelkXKkcTClkzz3cunyZtGryvei0+3UmZ24+zkAoggM0lNUxmEvxp91toisKTNe0UO714NQdlbj8e1UGp28+2klp+MNTDH555hRKXj082bsLvWIbHVQiEUgbeL4GctRORlVKQTQi9w87tEE67VF2rRejtgAruJ0GEQV0Dwo3Qmmzvi74OUBDWjL0fT9nfxLEDtEaETNvHEAGE9wsg44UJXrONHteHCl6ca6cXQnp+ye4PaZ/Hz0gSuCo0wnoJumIbl1kzxenZN9ladICJzBCDqfOYMo9AQVccOBQXirg+5yhqJbrrALnU17CsUTTXEyhqfSF35tp3VFD1Dlz+30fRagEVI/1DcsmvoTl3ozn3LOtcpTTIJf4CKVO4gv8RRS3HNE6Rjf8xQr1OhinUMlyB/xPT6CET+/JqXap5LGvGNfImedNC1xSm46n5FcpLJy7woZ3rFpH4XcN0NsG/P/MDAHShUuYOsL24kV9s3EGFe2Hlh1PVaXB6+fHVbiYyccYycR6I1N7y0Yq43UwkkwxEZ3FoGhG3m5xl2SvK4mLCbhcnR0dJG3kmk0m+sGULihCkDIMXes/x7tAQAaeTvGUymUwtmOQ8uoPignGkq6qtE2Pa4RRNUXCoKpqi4CzkBClCILHzc75/vpe3BwcLfVtMJJMLvBSKolDm9a6qsQNw5LVznD10keqmUhRF4eTbF/jorz28qsdYKa6VNH/iETuJ9Gs/OkbX5bG7Vge+1mdDRYSPP7yR929vW8BofbdQFEF7fTn/6uP7+W8vHORQz5XbepbuBLdT5xf2d/LL79tKyOfG5chQtAJphtvB53aga+pt2ZvvFkLAxuYqPvPEFna0191ViPBWUISgra6UL//SAb73ThcvvN3NlfE7J3WvBLqm0FxVdNfevluhtCTAr3/hYU6fHaL/8iR5w6SluYwNnTXouoLH4+CRB9vnK6WuYW1bJW63Yz73Zi6RJRpLo6oKTxxYD9gyE7qmki+QaIbDHn791x7mxMkrXLkyhWlZrF9XTfvaSpzOhWNGY30JTz+1Ca/3upfJrel8rnVx4cbHCmGta+iNjlPlDfKl9oUT1qfXbJ3/WwhByOHmE00PLGjTHrZ5YdYVfreG7JDDF9p2cVcQCkItBm5gfBY+4GYyRQ0WSYJ4bvpdKC9XFt4LIXRQqxbuqpYAN0kqqDd5b4RAiOCi/t5rjKYH6I0fYywzwIW5k6wNXLtPC4rMUYTgSrKXuDGNJnT8WhiP5uftqe+Ttwwk18deofhx+H4DRa3ByPwQI/UdVMdWHJ5PoDp3IoQTIVRUfR3c8Erp7veRS/5lIcS1vHHSMgcx873o7o+gObcCAqGUYOgvIq3o9XMSKoggQglhhzJXF8uadafiSUan45SG/fzpC29TXCAMuzQ6zVPb22+5X9jh5VONO2gPVqApKn7dSbkriF93LZGoCVWeMBnT4NLcJNPZBK3BcoaSS/OYhFwuvLrO0ZERWouLURDkcvaKNux2s6e2jrevXGEmnaY2GJzPkbk8O8s3zp7lS9u2sb26mpl0mt7JhTwsQnBXK9sr0Sh/d+YMX9y6lZ01NcymM/RN39Q394f7YGo0Sse2RqJTCRRVkDdWf0K8WyhCsKezgcbKIl450cdPjpxnZCpGMpNbFN64FTwundKQn/0bG3l8ayuNlUWrOiEDtNWW8fvPPsyPjvTy4uFexmbmlu2JUITA53HSXFXMR/avZ3dHw7xgrc/tpCziv2Py8nKwq6Oef/3sw7x07DwXhiaJJ7Okc8ZdG2iaquBzO6guCfHYlhb2bmikuiS0bC6jlSLsd/PJRzaxta2W105e5I1Tl5iYTZDM5FZ8bTRVwety4Pc46WioYP/GRtbWld0Tz9Ot4PU62bWjmV07FufG+bwunnzfhkWfd66voXN9zfz/O7c3sXN7E9mMQWw2iaarBMPeBV4bIQRej5O9u1vYu/v2JKUta8ppWbM8Urqb4VBUIs67N8J/MnqKOm8JrYGqOzf+Oe4ZPi3IuuAO2gJbcate0maCJt/6BW0ciouN4YcwLYNm3wZUoeFSPewoeh9RY4qEMcuVVO+CfRQ1gu79JTTXo5j5HozUd8jEvoIr+BVU535AIM1B8tk3sPL9SJlAWjGknAPutHC9IXhrToGUKGol80aaUFDUSswbDJ77jWUZPKUhH8UBL7OJNPvWN/JQZxMAz7/TddtJx6FqtAXL2VbcsKxJvtIdwqM6ODp1mZyZp8oTvqXB49Q06sNhvt3dxVOtrVycud5OEYJ99Q388MIFhuJxPr9587yui5SyEKoVzGVzHBoeZjSxdKhlpbgWj7/W9+GRYUbm7r5vRVFYU1PMU7sWG5VBnxv/DUmM9S3lnD50kamxGHOxFO2b61d8vMbKCB/cvW5RfoeqKHesxLsTVEWhuiTIpx59gMe2tnL03CAn+kYYHJ9lKpoklsyQNfLz7MYuh0bA46Io6KW6JEhnUwXb1tZSWRSYT8RdbSiKzSP06ce38MjmNbxzdoCz/aOMTMWYjqdIpLJkcnksy0JVFZy6RtDnoiToo748zNa1tWxbW0PI57aJAwvnqCjCLm0XYoFu15rqkhVLtIR8bh7b2sL+DY0MTUbp6h+jb2SKsek4s3Np4skMiUyObC5PzrCrBaW0n0lNVXDpGl63g5DPTUnIS21ZmI3NlWxoqiTocxWqo+6vy96ha6ytK6W5qogP7e3g5IURTl+6ytBElKlYklgiQyqbw8ibWJZE11R0TcWhqwQ8LsJ+N2G/h+qSIOsaymmvKyMS8Nyy2u9nCZZp8c4rPVzqHaWhpYydD63Fu4zcnNVGnT/C59vuXmtvPBOlyLE8OYt0JsfBs1dIFkKsxSEvm1qrcd0iMnCvyBkmb5+8tCTNwjUIBPWVETqaK1b9+HnTondgnJGJGCG/m46mcrz3KKnj18P4dZseIpmPM5zup9HbjqZcv4YSSXfsKFsiD1PsLF+071h6gIHkuUV9C6EhtBqEWoWqrSUd/V2MzCuojh1Ia5pM7CtIcujOxxBqJVLOYeaO3uGM5U2l5uL65wuPvvyLsApYlsGjKgqqYmsl7V/fOB9GeHhTM8FlTITLHUDL3AF8upN3Ji7S5C/Fpy39kHh1Bw5VpaWomAqfn+ZIEcPx+AItlAqfjzVFRZybmqStuGQ+Ca8+HObJNS18p7sbj0On0u9nX139vEHkUjW8uoO5TBaXbifv+RxOpLQNKb/D5o5xahpeXUcg0BQ7ea82FOLp1jae7+nhx44+Kvx+9hf6NqUkkc3h0rRbUpzfDE1V2NvZyN7Oxju23bC7BaEIRq9MU9VYQsfWO+9zM7a317G9vW7F+y0XQgh0TaWyKMAHd6/jie1tTEYTTMdTzKWy5AxbvE9VFRy6it/tJOz3UBLy4dRVstk86VQOxetEW2Xvzs3nWF8eob48QjKTYzKaYHYuTTKTI2fkMS2Jqig4dRW/x0kk4KU05L2tiO5Dm5p5aAUyJ7eDqih4XA5aa0pprSnFtOyS+Fgyw1wqSyprkDXyGHkT07SQNqvIvJHmcekEPC4iAQ8Bj+u+eXOWwmQ8yctdfUzNpagrDvFoRzPrmssxdIkzqOOfdbOprpLj/SOMRecIuJykDYO9bfUMTEV5ems7Eb+HU4OjbGmqprZ45aSIPy1YlmR2JkHPqUH2PtZBy7oqXC6dbNYgmzFsQ99jV8fksgamaWHmLVxuB7pDxcjlyWQMkODxOlFVhUwmh5Ez0XUVp9ux7HupCmWRsT1npDk4dZ6JTAyf7iJhpNle3IpL0XlzopuEmaUjWMOOYltby0IymJykJzbE3tJ2xjMx3p3sxZQWmyINdATrUIQglsjwX7/5FkPj9kp+89oammtK7pvBk8kZ/Nk332JkInbLNkLARw9sui8Gz6neYf7z37/BwNUZQn43v/j+zXz0wKYVL25MaZKzMljSQhM6DsWJxEIRKrWeNaiFfBxTmuTMNBaSnJVDIgufZeaJCjVFJ+goYWN4Pw7FnleltElMrxEMCqEghcsO4cksIDGNLixzCKf//0BzPQEIzNxxpLyhYlY4AQsp40hpFaq7knZycoFMUFHLQGhY+ctIadqhK5nFMq/c8/VeCVaUSGLkTWYT6XmW3HvJxVgKTkWjyhPmrfE+Hq/qwHOLTP9f27oNZyG3Zs2Bx4i4XDzV2rbAJS6RaIrCrppaynzXVyJeXecXN2zk6ba1WFLicziwpJw3eB5tamJ9WRl/ffgE+5rrWV9Rxu/t2s1wNE6lz8/v79lLLJ1hV3UN++rqUYXgkfpGNlZW4NV1nu3s5AOtrYv6jqbT/O3RU7y/qYXOiuUrTy8XmVSOeDRFXUs5dS3lTE/EqaxbrIK8FKSUDA3NMDq6tGuxrCxITU1kVQVjbUoDjeqS0LKYfE3T4pVXe/jeCyf417//ARobSu64z2rA63LgLY9Qf3eRg/cEqqIQ9LkJLqNi8qcNRRGUBm39ntfO9bOxrpLZZJrjl4f55f1bcDt0UtkcE+kkuzvq6RuborYoRNjnwdRAd2o4nBqXp2Y5sOF64UPetLhydYbx6Vt4VIV9bE1VbUPV6yIccOP3ON8zr1Aua/DOyz1cOm9XnaYSGdZtquPNn3QxMRq1dbN2r6GiJsKL3zmGlJBO5dj9yFqq64p566VuRodmkMDjH3oATVM4+Hov8WgKTVc58MFNlFbcvQGYs/L0zY3S5C/nxEw/64O19MSG2BpppsITIWPmeGnsDJsjzVhScjkxQU9smJ3FrWhC5fmhw9R6izEtkx9dPUm1u5iI870XMRbYYWSXQyNX8BK+V5BScrRnkEvDU1iWZHI2wZGuQR7ftZbwCvP44sYMZ6IHSeTjuFQ3O4sex5QGR2ZeI2umeLjswzgVN5cSXfTNncGtepnL23k1/YlurqQukLcMSpwVbAjtxq16cbuvS2iYxiksoxdFq7MTuWUeM3cYM9+Dy/+7IJyFXBqBle/Hyp9HWnGM1Le50VOjKCUIJYyReQlFa0AID0b2DSxzGLVg8Ai1GlXfgJH5SaHUvMI+fv4iQrk+uEorirSSWOZVpMxhWZNY+WE7MV0JFagK7h7LNniklIzPzvHa6Yt8+sAWAF480ssHtrdTUbSYQ0YVAl0odxSKFAg0YRfVIaAlUEbQ4abJV1Ioj1TQFHUBJ8WN8hHOgrfkmsx9xjC4MDPNxelp+mdn+f09e+eNGbAnWpdmD5gXp6ZRFcHuxjq6RscZicVpLi6irayExmJbokARgplkmmgqPf/310+cYV1FKfubGhiIxckaeVyaRjyb5fCVYQzTZHN1JWdGxhiNz9FeXkpraTF1kTAhlwufc/V5HA6/0sXlc1eJTs3hD3k49sY5PvbFR5e9/4svnuab3zqCqi6W8nj66Qf43Gf3LZsH5G4xO5tkdDRKS0v5kh6cVCrH5NTcfILnz/FPC5YlOTs4xsWxaaojQVKZHEahGKC6KERDSRhVUbg8MUPI46bY7yWezlIS9JHK5tjeXMux/mGKfB5aK4oXiB5msgbfeukk333t7C2PrxU8h26Xg+KQl4riAB1NFeza0EBdRbjw7N8/b5fL7eCRD2xkdGSWxz/0APXNZZzvGubq4Ay/9KWHuNQ7ypG3LvDoUxsZvxrl4Sc30L6xFiEE57uGGR6Y4mOf24fHa7+HP3r+BF0nr1DXWMr5s8M0rCm7J4MHwKe5KHUGiTh9VHoiXJi7yqHpCxhWnpDDR8JIY0nLphiJX6bOV0KFO0zWMhhNz9DoK8Wl6ewobsGh/HTUz11OnS9+bA+z8RSpTI5EOkcimaVvcIIj3YP31QCS2Mb3jWkBppTLzlWc70dKFBQ8qg9FKPTGT7IhtItiZwXrg9s5PPMyEkleGvTEj7M5vJ8iRxkvjPwVhpXj8PTLBPQIqlDpnTtFo28dYcdNi0SZwUh/D8scxk4QFihqKU7vF9BcjyKEhqqvR3M9iZH+PkbmJYTiR3PsQHVsYj6pWHhw+L5Abu6/kIl+GaH4UPQOdNcBLNPOYRVCxeH7FbJz/4XsnE12qGgtaK4DmMb1MFsu+XXM3LtIaxZpTWOkvk4+8yqqvhaH7wsF7p67x7KfyNGZOG91X+bswBjfefvsvLdH05ZeHX2iYRtPVndS6ro9oV6Jy8+/3/QMPt2FguDh8jY6w9UUO22K9gMV7WwrbiDiXJ64WzyX4/lz55jLZvnFzg00RRZrK0kpGZy1vRkBl5PnTnfjd7rYUFXO4StDlPkXrkrCbjfHhkYwLJOQ20WZ38faslICLiepnJsTw1fJ5vP0TkySzhlsr6sm6HYR9riZy2Y5c3WM+juoB98rYtMJmtZVE5tO2GGMu3ipS0sD/M7vPE5pycJ7Fgi4cd4n9/ONOHz4El1dw9TVFd+3kNXP8dODJSXjsQRuh06Rz17tXrMv1CWKGOZpUQqf1ZeEOXZ5mMOXhvjSgZVLyORNi7xpkcoYTEeTnB+Y4OCZAb73Rhfv29POk3vbKQ37ly13shrIG3Y4StNVHE4dKW1GaX/QQyjim38PTMPE4dDQHSqqavMAGbk8rR3VbN/Xyr7HO4gU33uy9jWD79olMKXFWHqWlkAlLtUxL2qrKyqPlHcyl0/z6vhZHi3vpNlfQUD3UOWxJ9pbeejvN3RNZWdnPcD89cybFq8cucCJ3mFy1v1bMClC0LmmktdKgoxNxQn43GxZW01ghXlaEovu+DEUodDoXcflq0bSTwAAIABJREFUZO+S3FkSiSXN+bCVrtiyT6rQaA9sIaCHEQj82uL5R3VsxR3+E1uaQ5qAglC8CKUIIQr3Tnhx+r6Aw/NhpDQQwo1QIuieDyOEPU8KIdCce1H1NqSVAKGiKBHAQlpphGLPJ4pajyv4B0hr2uaMVMIIoSKt+Dy3ke55Gs21uLpYCFfB23RvWLbBE/S6qYwEGPDNUuT3oCiC3e31RJZQSgcocvooWoY7U1dUarzXjRKf7sKnX384gg43QcfyXfWlXi9fefChO7ZThCDodlHk9fLO5UEiHg8VAT+GaS7IBQLwOnVbHgKB26HjczqIeNx2Hk9hmwQyRp6Ay0lZwM/kXILDV4ZxaSqxTJb77VVd01nL2/94mvHhaSauzrLzsfV33ukmaJpCdXWEqsqVayfdK6SUnD4zRDKZvSMp3ns5If0cqwdNVdi3toG3ey8zHpvjg5vbiXg9uHSdTfWV85NtyOums7aCsNeN3+Uk4HZimCY+l4Owx0150Eex/84LIK/bMS9MKqXEyJtkjDz5/PX3O5vLMzg2y19+9yADV6f5jY/vpTSy+lVet0JVXRGaQ+X5v32XTNqgqa0St9e5iP+usq6IU0f6+d7XD+FwaOx4aC0dD9Tx1k+6OPZOH6qqsO/xe5PUcKsO1ofqKHMFeSDcRIUrjFPR8GhOTsz0E3YInqh8AE3R2BCup8QZoMjp58j0RTKmwUdqdvDu1HlOzPTT7K8AVj90v1IIIQq6Z3b+2q1FW1YPuzc0oKkKF4emqCoJsnND/V2I2QocipPxzBCGlSNv5RBCMJ4Zpid2lNH0Fbpih2nzP0Ctp5njM68TcpSQszI4VRdNvg4uJs7i1fwE9SIizsX3QggnQr19DpMQAoQXoSx83wSem9ppdl83rVOFcmMbBSFCBaHWG9tcL/lX1MpFfawmlm3weF0OdrXX01pTStUSIazVwg+vHqHFX80af+V9OwaAYVqcuTpMqd/HM53t9E1O88LZHmpCQVI5g/MTk0wkEgRdLvqnZxiYmeXY0Mi89+bNS5fZ21hP19gEAzOznBq5SnUoyLuXB3nudDctJUWY0sKSCiG3i6FojIuT0ySzWcIeNxWB1R1UWzfUks/lGR2cpqQyRH3L/Uk6SSQyHDp0iVOnB5mcsHWyKipC7N3byvr11ThuEO80TYvBwWneebeP8+dHSaVy+LxOmppLefyx9ZSVBZmbS/OjH53lXO9VTp68ghCCr3zlOTu8oAgefWQdBw5cH8ilhLHxOO+820df3ziKEGzd2siDD7bh97vm6dDzeZMLF8Z5441eBgen0HSV1tYK9u9ro6rKDl/kcnlefrmbw0cu8ZEPb6WjoxqlINPx8svdvP56L5/61E46Oqrve+XSPxdUhPx8dEfngs9CXjeV4etjStjrJuy1Fzn1JbbxncubDExGGY3OsbOlDtcdFNZVRfDpD2y7vtIvaHFljTwT0wnO9I1wtHuQkYmY7fnJW7x2tI+KogCf+eC2VeF3Wgouj4MPfmI74SJ7MRgIefnAx7YxNR7D4dQpLzyb7/+FrfNtACLFfj7w8e1MjceQEoJhD2WVIQIhj53Doyn3XO3l0ZxsCjcAUOm2F6GVHvt3o2/heLKx0A5gX+n1KtKnq1dP2fqfKjRNZffGRnZvXHnhyDUoQqEjuI1Kdz2KUGn1bySoF5GzMrQENtLkW4dDdeNUXawP7mDaPYEiBC3+ToJ6ERtDu5jOTZCXObyq304Z+TlWlrSsqgoTs3Mc6R3EkhKv28G+jka8qzg4TGSiVLmXl2x7L3DrGrsaatlSW4WuqjQVRbCkXX0jgF/fswMhbKLB6lCA3Q11qIpdkfVE2xosKdEVlRKfl32N9aiKQFUUakOh+YTp1tJiJLY3SRGCf7lvJ0KwSEdsNXD2yCX6ztg08nPRFKqqsPWhW3Mk3S2uXo3y/R+cJBz2Ul0dQUrJud6rHDp8iS//26fmjQMpJV1dw/z3//EaiUSGlpZyImEviWSWocEZ0mm7ZFEWKk6am8ro7R3F6dTo3FCLQ9cQAsrLF64G0uksL3z3+PzxJybi/N3fv8vEZJxnP7kTj8eBZUkOH+7nf/zFa5SWBmhqKiWXzfPOO32cPHmFL37xEdY0l6HrKp2dNbzyag9///WD/PZvPU5ZWYDe86N8+x+O0rm+hrobEr+nJuKcPNyPYeQRQrDrwTaC4eWFWu8WliUZG5nlfPcILpdO+4aaFR9TSknP6SGu9E8suV0gKK0IsXln04r7nRyPc+zdvlu2cboc7Njbgtd/b5PxXDrL4YuDNJcVsaG24o4GqBCCiuIArfULY/6ykE/x0NZmhsajfPW5g7x2rA8p7XLmf3znHHs3N9HRtPrVO2CPoRXV1z3aiiIIF/kWGDcA5VULvaxC3LrdzW1/jv9/wKV6qHTXL/hMVxx4tcUOh0r34uraCnft/Tq1f7JYkcEzFUvy6ulLTMeTNJZH6Ls6xbaW2iUNHiklSTPDu1PnGEpOUu4Os6dkHWkzx+nZfuL5FLFckqeqdiCA1ybOYEmLsYzNvjqRifLOVA8zuTla/FXsLFpLT3yQodQkM7k5ArqXJyu2ot2F8aAIQWdVuV1aXEh6VtSF/dxIPKgCN2qk6je0VVAXbHPckHtyM3nhatD03wrTYzFCxT4a2uzQQPgu4vkzM0n+83/+Me4bmGqdLp0PPrWJ9QUCtfr6Yn7ntx+nqMiPz+dESsmx4wP8h//wfc52DdPeXoWqCqLRFM89f5xs1uA3f/MAHR3VuF06mYxBMpklGLRdooGAmyffvwHDMDlypB+f38lHPrzllrpBUkJtXRGf++w+vF4niUSWv/ifr/Hyy93s3NFMe3slsViab//DEcrKgvzGbzxKXW0RpmnR1T3Cn//5y3z3u8f5rX/5GA6HRnV1hE98Ygd//ucv88ILJ3j44Xa+/veHKC7y8fGPbydwgzbZ0OUp/vsfv0hiLoOiKjS1lt93gycRT/OXf/ISR9/uw+HU+Ogv7+aZZ3ficC7/1ZVS8tqLZ/n+t44s3UDAzv1tKzZ4AAYuTvAn/+77t9weKfbRuq7qng2eIr+HZ3dvvKc+gEL5LTgUjabqYn7lmR0MT0S5cGUSgNl4iqNdg/fN4Pk5fh6S/jl+eliRwZPL5/G7HRQFPDy+uZUfHu7ByC/N6CuRdEUHuJqe5omKzbw12c2p2X4q3UUcm+3j6codFLuCBHUP3xs5hF9z0xlq4FJiFMPK8+LoMSSScleY1yfOUu8t42p6mv7EGB+p2YNDUVHF3RkQQghKfPd3onqvoaoKF7uGmRq1uSdaN9RSXrtykTtpyQVVDNKS3JhRo+sqJSUBxsdjXLqUJpczGR+P4XRqxOPp+fybq6NR+i9NsGNnE5sfqJ8vaXe7HfdU7eVy6mzd0jhvEPn9LvbsbuEnP+licGiatrYK+i9PMD4e5yMf2UJtTZGdVKepdKyroqWlnIt944yNxagtXJ/O9dU8/fQD/MM/HKXv4hhTUwl+618+RlnZ/QvdLheJuQw9pwdtrpasQe/ZEdKp7IoMHhCUV4dYs7aCbDZPLpsnlzWYi6Ux7rHizRdw0bquimzWKPSbJ5nMkE4uVy37p4va8jB7NjXRNzg1Hwo9d3kcKeWKwpj5vMnkbIKpaJJk2q4+UxUFr9tBUdBLacR3W56mlSBr5BmfmmMqmphnAnc5dIpCXsqL/auuGL/aEAWPN9jGeCyRYXQqTjyRwcibqIrNWl5W5Kco5L2vC8V/qrAsi9l4mqlYkrlkhmwuPx+hcOgaPreDoM9FJOjFoa+MqNWyJPFkhplYilgiTTaXJ29aqIqw+/Y6iQQ8RAKeVaMqSaZzjE3Z5KnZgi6lQ9cIeJ2URvyE/O5VSStY0RvoczmpKQmRy5t87aVjSCnR1KU9LJaUzOQSlDiDVLqLqHQXMZ2LU+4KU+oMUestJaB7yFkGU9k47cFaqtxFFDsD5KXJaHqGak8xmlDZU7wOr+ZCEyq13tL5+PK9QkqJYVl2VntB/XelF9WSkpyZv6WiyLWKhpW+tFJKcpZ5W7p9TSjz3ibTtKhtLqOizp7gS+4i8TgS8fI7/+qJWyYtSynp75/gueeP098/gaaquNw6uZzJ3FxmAYlmMpElkcxQXb26/D2KqhAOL0yYKy6xvVnRaArLspieTqAogkjYu4CITdNUiot8dHWNEI2m5g0ep1PnoQfbOHjwIidPXuETn9hOe3vlz0Teju7Q8Ac9zEwlCuEPL7pjZROnEPDEhx5g1/420mmDTDpHOpXj7//nG3SfGryn82tureDf/sePkknlCv0aHHn7As//3cEVl+L+NODQNeorwridOqlMDgnEEmlyholzGdfZyJtcGpri5SMX6Lp4lZGJGLG5DLm8iabaDOUVJQHaG8p4ZHsraxvK7jgB5QyT14/1caJ3GIAd6+vYvbERRRFcGpriB291c7bvKiMTcZJpO8nf63ZSWRJgXVMF79/TTltDWYE1+9bnns3l+f6bXVwcskuHQz43zzzcSVnRnb3DlmVxpm+UH717vaT40e0tbF5bc8f3RlMVFEUwl8ry7ql+Xj3ax8WhKaajSbK5PJqmEPK7qauIsLOznsd3tlEU8gLiZ8o7NBtP8c2fnCQ6d2vRY0UINq+t4ZHtt5cJWQ6klJiWpG9wkjeOX6T38jhXJ2PMxFOkMwamJW02dadG0OemOOSluixEe2M5uzc2UBbxL3lvroV5c0aec5fHOdYzxIUrE4xOxZmKJm36iLyJpii4nDqhgJuKogAdzRU8uKWZppriBczySyGVyfGNH59gYsau0nxidxstdaVkc3lOnh/mpYPn6R2YYGJ2jlTaQAhwOTUiAS/1lRF2b2xg/+bmezZ8VjRyhn1u9nc2YUlJS1UJfo+TsH/pCipVKFS5izg6c4HT0cv0J0dZG6i1GT5v8MxoQqPWW0JPbBApYSobx6FotPirkEjqvKXkpUVA84AQqKuYZX85NsufnT7Exeg0+6oa+BfrNxNyroy8bWguxm+++n2S+aVXtB7NwR/sfJjNZSvTnLGk5Mtvv8TJyatLbteEwkfWdPCrnbaIXENbBYMXx0nE7JcvcB9CLdmswd/+73e5fHmST396D2vbKnA4NEZHo/zhH/1wQVtVVQpMsKurii2lJJdb6JXIZg2klDgc9kTicurzORk3rtSllGRzeRRFoN8QhzRNi3PnRhkbi1Fc7Ofs2WHGxmIL8nd+WgiFPTz7L/bx6otnCUe8fOCjW1fsIRNC4PO78d30rv7o+RP3dG5CCBxOjfKbDOSpibhtZf1TsHgAt0vHoaukMvb/edMia+Rva/BIKZlLZfnhm91859UzjE3FMPILqzuNvMl0LMl0LMm5/nHeOtnPU/s7+PAjnYR8tx64Tcvi5PkRnn/1DADJVJb1zZWcvjDCX75wmIGRafLmwmPFkxniyQx9g5Mc6xnkF9+/lQM7W28p7Hzt/N49fZl3Tl0GoKI4wEPb1izP4JEwcHV6/hwBGiojPNBWc0ejRFMVZuIpnnvlND852MtcMrtgwZgzTCZmEkzMJOi6OMrR7kE+/+FdtDeW8bOiVA6QSGf58bvnuDoZv2UbVbGZ2+/V4JFSMj49xw/e6uZH75xjbHpugUzNNRh5EyNvMpfMMjwe5fT5EY51D1JRHKDsFtWHUkJP/xhf+8ERei+PMxtPL9l3zjLJ5U3iyQyDo7OcPD/M68f6ePZ9mzmwo+2270s2l+eVwxe4ODSF26lTGvFRXhTg2y+f4rlXzzAbSy1a3CdSORKpHINjsxw/9/+x995Bcp3nme/vpM55cs4JAwwyQIAECJFgDhIpigqUKWd7va61tmr3XvuG8pZv7W7tvbte27uyr7TXlmxZsoIpkQKzGAACJAgihwEGg8k5d84n3D9Oo4HBBMwgkKCWT9UUMNPd3/m6+5zzvd/7Pu/zDHPiwgi//dQOqkp9Nxz0rCrgCSdSnB+aZEdbDWtqlm85FASBNm81Gjq9sTFa3JWs99WR1NJs9DdgzXmAiILAnuL1fDhzgZHENHuKO6h0FNHqqeLo3CVOh/opsfnAXUm9sxTVuDUaCrph8OpANy/1XEA1dIYjYbaXVrKrsnZV42R0jd7wHLHs4gGPS7GQUFe/6BvAaDxCT2hxLzFZFJlJxfO/t26spXVj7aqPsxpMz8QYHJyltbWc3btbUGQJwzAYHQsRiczf5QQCTgIBJ+c7R0kmM9ddpEXRFFzRNH1ZYbBsVmVgYJqOjiumjD2XJpFlidISL5IkUlNTiCSJ9PdNk8moeQ2haDTF0NAsHo+N0tIrrZDDw3P84w8+oKamgEce7uDv/u49fvrPR/mXf3D/bRdbvB4Ui8yeh9ex5+HVywx8hpUhkzUtOC7jskDhcogl0nzvFx/xs7dPzzOYtVkVivwu7FaZZCrLVDBGOmN6xI3PRPj7fR8RjCT43S/uXLE/Xc/IDIdO9fG3L36YV5J2OawU+pzIkkg4lmI2HEfXzQzA4HiQb/34IIIID+9su+UmuzeLVEblh68d540PusiqGqIoUOBx4HXb0XWd6bkYsVxTQzKd5fCZAZKpLH/8m3upq1h9mf52QZYkCv0uovE0iVQG7TZqj4xMhvjrnx5i/7GeRe+PVkXCalXIZrV556MBFAXcNFQVLhskBCMJPjo3ROoas2SX3ULA68RmVchkVabmYiRyHmWZrEbvyCzf+skhvC47uzatjAOYzqpcHJgilcnyj68cy8/XYVMo9LmwWWXiyQxTc7F84BVPZnjrSDcA3/z6HgKrVK2+jFUFPNFkmvODk+xoXZnfkkWU2eRvZJP/ioeQTbLgt8yPNF2yjb2lGxe8fk/x/Jv8ta2RNwMDg5SqohnmjU7HIKWt3mG8xOHiT3fcx2wyQTidIpRJMRINc3D05jxCJEHgd9dt5f6qBsKZFKG0+bN/uI9IzhX+44bbZcPjtjE6OseFC2MUFLiYGA/x0i9Ool+jXVRR4WfnjiZee/0M3/72u9x33xo8HjvRaIrx8SDt7ZVUXNVdIooCZWU+zp4d5tixfpqaSjAAj9uGz3clW6WqOgfeu0hRkYeKSj8T42Fefe0Ma9aUU19fbHbnlHm5994W3nnnAmXlPjZvqiWTUdl/oIvBwVmeeWZrnjQdiST50Y8+RNN0vvKVu2huKiEeT/OPP/iAV145zRNPbMS6Kr7MZ/g0QdN0Jmaj+Zu4KAiUBNx5/Z7FkFU1Xtx/Nh/sCAKUF3l5cEcrOzpq8brsyJKIqunMhePsP97D20e6mcmVbPYdOEdliY9n9m5YkT7L0HiQ//Gzw8yEYtRVFPDE7nY2tFTgclgRRYF0WuXS8DQ/e/sMnb0TaLpOKJbkh68ep6mqiNa6T14P52qc6xnnbM84oiBw17oaHtvVTn1lIVZFwjAgFEty+HQ/Lx/sZDoYwzDgXO84P3rjBH/45V24b9LI+Fah0Ofk//ydh0imsmRUlXgyQzSe5mjnEK9/cIF0ZvXrybUwDIOpuRjffuED3jvemw92rBaZuvIAO9bXsa6xDL/HgSyJaLpOOJqiZ3iGM5fGGBqfY0dHLUW+pTXxRFGgrb6ELWuqONM9Rlmhh47mcja0VFBR5MVus+THjsbTHD4zwL73zuWD77lwghfePs2mtsoVmaTqusGhU318cEYgnVEpK/Tw2K52tq+rweO0IUsiWVVjbDrMKwfP8/6pPlK5TcPBk33sXF/HA3e13BBVYlV3ctPnJsvbp3vwOc2Lek118R1PklsMIgJbSsqp9wYYi0XYVFxOW2D1stVuxcIzTe0YhhlNGxicmZ7g/bGhZfk314UgcG9lHbsravPj6rrBU/t+QOfs4u3Ftxter50nntjICy8c5T/8h33YbApOh5Xt2xsWmOAqisRTT21GEATef7+b/Qe60DQdi0WmoaGY+vr5n7UgCDzySAcTE2H++7feQpYlLBaJ557bySMPX9Ftqa4uYOuWOr7/j+8zNxcnm9Wory/iua/tyGdtLBaZp58y7U/27TvJD3942Oxc8zt48smNPPjAWkRRIJXOsm/fSc51jvCNb5glOlEUuffeVvr6pnjhhaNUVQXYurV+gSnjfD3az/BpRSia5Oi5ofzuXJEl1jdXLLsb7uqf5GdvXcns1FUU8K+f28OGlkoUeT4PsKbMT1t9KY1VRfzNTw4xF0mQyqi88NZptq6ppqHq+mVTVdOZDsZoqi7kf/nG/bQ3ls3jTBiGQX1lAW11JfyX77/Lsc5hdMNgaCLIi/vP8s3ywG0z6rwRJNNZZEnksV1r+L0v3o3f45h3fVUZPlpri2msKuQvfniAqbkYqqbzztFL3L2hnns21H1s/mfLQZElqkvNTdvlZg3DMEuS73zUfUsCnkxW4/UPLrD/WE++jOmyW3nqvg6evr+D4oArzw+9LAcCsLW9mmcf3MDkbBS7TbmuqWyB18lXHtrIQzta2bymCq/LhpiTaLn6fDYMg+aaImrL/PzXHxxgNmxWGXqHZ7g4MMWmtqoljjAf0UQaAWiqKeKbz+2ho6kc+SprF8Mw8m72f/lDhVcOdgImF+jAiR52bqhbcYb0aqwq4LEqEl6njcHJIBNKFIss0Vhe8KkMeARBYEd5NX+55zFC6RQ1Hh/lrtUb3QmCYKp3XnU+ybkT5abmx2WVyysj6YJ+25bYhx/uYNu2BgoCVz4DwzBIpLMcPNfHucEJwvGU2UlRbeOpR9dSX1aAIUPnxDTDQynCyRDHLo2wuakSgNdOdeNp8PInu5/IBScqL310nsoyP9XVBWRUjZM9o7x/vp94KkN9aQG/+Xv3kolnUbMaJ/vHGM7EOXJxiINn++kfmmbvF9bz+L1rEf0WDp7spSzgZjKR4M1LfWTsApsaK5FEAafbSvX6Uo5OT5KZ1llbW8az92+grcnkHR3pGqJ3bAbNJSHWOXlvZISCPj/r68tQFIlnn93O+g01VFT4F+UkSLKIKICm6szNRDl7YpCL50aZnY6g6waBQjctaytYt7mGwmLPiqwyDMMgHEqQTS99o3S4rDic1juCUP1phmEYJFJZ9r13jpMXR/J/ryn3s3Xt0vol8WSalw92Mjln7m69LhvPP76VTW1Vi2ZrBEHAblXYu72Zrv5JXtp/FlUzy1tvf9RNdZl/RSUnl8PKsw9uYk1D2YIGCCEX/FSXBXj+8W0MjQeZmI2iajonLgzTPzpLa13JHXXONFQV8tWHN+fIyPMhCGY30D0bG+gemubv932EYUAkluK9471sbqvC+QmXmq9F3pLj8i37Fn3UI1MhXjnYmS/tSKLIM3vX8/wTWxfNplyex2V16arSlTWvCILA1vbrV26u/m7eP93PG4e78l1d/aOzKw54AFxOK88/vo2NrZULPDcvvw+P08bT93Xwwek+gjnaxMWBKWKJ9O0PeGwWhYe3tODLqaBmNY1oIm22X94mZdLbCasks67oDrbB/pggCAI1NYULSLqGASd6RvjFh+f50u71YBh8981jPLazlc/vaCer6Xz7lQ8JxhN8+eFNTAajfO+tYwiiwJamSiRB4PDFIR7a2kpdXRFToRjxk+dobTTNQY9dGuYf3jrG3e11BNx23jndSzCW5Lcf3obNojCmJtl3pJO0obG2toSG8gI66spwOCzYvTZGMnEqfAU8sqmWiyPTfPfNo1QWeinxu3m/c4B/fv8s9+1oxm23cuBsHx8NjdHabOqrTIai/PLUJTY2VPDVJ7aSzqqmc3Zu8fD7ndy1fematKJIqJrOR4e6eeH7H9DXPUEqlTW5IIZJ2n7r5VPUNhbz1HM72L67BZtt+Y2Bqmr89//4CudODCz5nKee28Ezz9+NJN05i9enAZc7XNIZlXA0yfBkiAPHe/jlkYv5nbjXZePZBzZSVri4HIFhGAxPhDjaeSUj1FJTzN0b6q9bmrJbFXZvauCdo5cIRhJkVY3T3aPMhuOUrkC5vqbMz7b26mWPIwoCG1oqWNtYzuTsRZMHOBXmQv8kzTXFd9Q5c8+GesqLvMs+x6JIfG5LE68ePM9UMAbAyYsjzIbjd1zAc7vw4ZkBJnKlI4D2hlKe3LPutimBrxQ2q8zaxjIOHO8hkcqSzmoEo8lVyTlsbqtic1vVsgbjgiBQVuShtbaEw2cGAIjG08yE4tc9fxbDqgKe2UiC7791jKaKIu5qq+HC0CTnh6Yo8Dh4Yvsa3I5b7wL+GT45aLrO8HSYEp+LzY0VOKwW3jzRjSiK2CwKlwbGOdU3yp98+X7aa0pIZbKE4ineOXmJdbWlbG+t5p3TPXQNT7GxoZyzA+PohkFHfRkZVeWdUz00lhfy6NZWFNnssPrxgdOMz0WpKw1gYJDVdJ6+ex0VhQtPbo/Dxld2b6C2NMDa2jL+44/eZnAqhN/t4K1Tl7irrYYv7epAliSKfS6+/eqHfG59A43lhZDr4nr67nVULjL29aBYZE4c7uW1nx9neiKMLEsoioTFIptmhapGMpHhwpkRJsdfJ53Msufhdcvr5xiQTmaJR9PohpFrFzXQtSv1wmTi06Fv80lD03Ve3H+Go+dzbfcGqJpGKqMyF44zPBFiLpLIP9/vcfDcI5u5f3vzkhkXXTfoGZ5h/KqunK1rq1e0+AiCQFN1ER6nlWDuuANjc8yG4pQEPMt2NomiQG1ZYEUeX4ossbW9mneOdmPkTDO7B6dIprO47pD7s8Om0Fpbcl1iuCAIlBS4aasvZep4D2BKBvQOz+RLSb/KSGdUTnaNkMkF5BZF4nNbGykpWLy9/OOEIAgUB1y5a8Xskk2ls6YW0ArmJokCW9ur8a7ADsVuVeZtCvRch+SNYFUBTzqrEkmksVpkDp7rZy6aYE9HPR92DTIbjX8W8PyKQZJEmioKOXCml1ePdiGLJhGzrcrk30RyddhArt3ZqshUFfl493QvqqpT7HNTVeTj+KVhGssLOH5phLU1pXgcNlRNZ2g6xExJTdadAAAgAElEQVQ4ztC06Vyfzqo4rMq8llu/y9R8WAxuuzUfCNmtCrIskcpk0XWDmXCce9fV53WiKgq8pDIqwcuaGYKpO1J+g75wyUSGF3/4IclEhnWbati1t52G1jIcLivhYIJj71/indfOMjsVYW46yo/+7iCVtYWsWb90yleSRb7yW7vY/WA70UiSWCTJ3EyMI+9dZG4mdkPz/J8VhgEnLoxw4sLIss9z2BSaqot5Zu967t5Qt2zwklU1Lg5O5bl5ggANlYVI1+FHXIbdpsxLw89FEkTiaUwC3NJjyJJIdZn/ujyMy2isKkSWxLwr+OBEkHRGvWMCnoDHQYHPsaJF2+20UlN2JbjJZDUGxxfvXP1Vw9RclMm5aJ4eWeBzsqah7AaMSG8PLLI87zvUjZUrUXhddiqLfSviYkmSiP2qjaIpL3JjcierCngUSaS62EdloZeXj1wgmc7iddqwyPKqW/IMw+DtoV5OTo8D8HBNE+2FJQvSW+PxKL/ovUAkYy6u6wpLeai2acF40UyaF3vOM5GIUWBz8Hh9K8WOK/Xhi3MzvD7Qnb8JXAuXYuGrrevxWe+MDoA7AaIgUFvsJ+BxMDwVorLIy288sJXWXMAjiwK6Qb5zwMBcFBTJFDyzyBJ3tdXwwsEzbG2uomtkmj94bAcW2SwHWRWZe9rrePyutryLsSyJFHuv8IgkUVwy5SnmNC5g4XJhMv2vBE5qrovsama/LArLplOXQzpl8ox23tfK73zzIYrLvPMu/vYN1TS1lfOdP3+DmakI46NBXvnnozS0lGJdorQliiLtG6pp33CFQxIOxhkdnP0s4LkN8LntPP/4Vvbe1UKx33XdBVjVdIYng/nfBUHgrSPdnLm0uFbWgterOjOhK1ISum7khAOXt1uQRJHCZbpsroXHZcPjtOWPNTkbJbOIrsonBZfTtqJuHrjS+m1RJDJZDVXV5pV4fpUxHYoRjV/JZPhcdqqKfcu84tbBMAxiiTSj0xHmwnFiiTTxZIZMViWT0/oZHJub1wK/GnictpyI4PWfey1x2pzfDR12lcKDbgdFPhcHzvSxtraUeDLNLw53ktV0XDdQU+wKzvCds0fJaBqKKNFWULxgATo1Nc7fnP6IYNrcme+tbuDu8mpclvkXzGwywbdOH2E8HmVTcTmP17fMe7w3PMt3zh5dUi+n1OHi8frWT13AMxmMEktlkEWRAo8DV+5GEk+l0Q1w2Sw3lf6ciyUIxZI8sKmZqkIfiiwSS6Vx262UBTx4nTZO9I7isFkIxZKc6BllfX051pz5Z1N5Iaqmc+BsH36XndqSgEl8kyU2NpRzun8cw4ACj4OsqmFg3LRuiCKLrK0p5UTPCBsbK3BYFQ6d66fU7160NHajKCr18uyv71oQ7IDJ8dn5uVa6z4/y4g8/RFV1Ok8N0XtxgraOz9zXbzcEoLG6iCL/lUBB1XT6R2eZzvFBkukshX4XRSsIdsAsk82Fr5TBdN3g1UPnb2qeyZxo5nIZHlEUVsVZkSURl8OaD3gSqcw8naFPGjZFXpGK9WW47BYU2Qx4dN0wFbFXaf3xaUQsnp4XUNhtCt6b9KRbDqqmMzkb5VT3KB+eGaB/dJZYMk06rZLVNFRVR9NNnTTdMJbVS7seLBbpE5H7WNURHVaFL+xYi4F5skUTaUKxpCkY5Fmdsq8gCDT6CnDKFjJakp7Q7II2bs3Q6Q7OzNOdGYtHGY/HaLom4BmJhfNZoHKnm0L7/PmUOtzsqaxjNpUkns0Qz2aYSyUIpVNL2kJ8GvDdN4+SUTVcdit+l51fu38zsiQyGTRbORvKC1ZUU10MmqYzE0kgigI/f/8sUq6k1VheyK8/sIXKQh9f3r2eF94/y6HOflIZlUKPgwc3N+c5OSV+N2trS3nzRDdfvndDXjBKlkQe2tLK2FyEv3rpEG67FVXTaKks5rn7NmG5CUd5RZJ4ckc733n1Q/7LCwfyug7P3rueYu+tU6Bubi+nobl0yRuvYpG596F1/HLfKcLBBNMTYbrOjtCytuKOIpD+KkKSRL7+6BYe2HFl45NVNfbtP8d/+9FB0lmVdEblp2+eZENzxYrUhQ2DG97RLjnmCuOQ1WwCRFGYpyOUyWoLlJk/SUiSuOIyIJjv/XI5zwDSafV/ioDn2u/NZlFum69YIpnh3WOX+OkvT5ll2yWCGUEwv4/Lpttm8Ln648mSOM+E++PCigKeywRKQRBQNS0fIBw818eOtloKblD1sNEXwKlYCKaTDESCZHUNy1UfQjSToSc0i2bouBUraU1lMh5jLB6h0ReYd8L3hOZQdQ1Fkmj2Fy7IFK0tLOHPdu4lpamkNZW0qvL6wCW+c/boDSkh3wjGR+aYmgizfkvdip6v6zoXO0ex2izUNy0uHmZVZB7b1kaJ381fvXSQeCqDVZFw2a04rApiTptB1XQiiRSqpuOwKjjtVlKZLLFkxvT8cdgW1IajyTQvHe7kkS1tbGsx2fQDU3P8v698yMhMmLW1du5ur6O62M9UKIZVkagu9uO/SjbfIks8s6uDHW011JYG8t+LIAgUe538weM7GZgMkkhlsFlkygu8KLl53L2mlrbq+e/bMAwMDLa3VtNYfkV11WW38vuP3kWxzyT0VRZ6+aOndjE0FUTVdEr8bioLr2Ri7mqtoan85qwjWtZUIFznxl1Y7KaqrohwcBBV1RnqnyadyuJw3hl8il9lCIIwb4EQFZHdmxs5dKqPI+cGMQzoHprmpQNnef7xbdhWknW46uZutchsba++ofbYy1ipTP6qAhaDeZvHy23rtxo3qjOmGwarSQ4YphBZHoIoLF8DvEFkVY1wIpXfvPeMz+KwKpT5P3mSMFzR+rnVSKay/NMbJ/jxGycIx0x/FVkS8Xvs1FUU0FhVRHmRF5/bjjOXbZMkkbOXxvj7fR8RT95II8Un83muKOAJxZLMRhIUehwmeTW3IB2/NMrGxtV5RF2NcqeHArudkViYUCrFZDxGve+KMWgwlaQnNIdNktlWWklXcJrxWJShSBi9fD4bvCc0i6rr2GWFFv/ChcwiSRTY5wdmnbNTN5z9uBHEY2kuXRhHlERKy32mD9VoEKtVobwqwPDgDMl4hqraQnRdZ2I0RM/FcWoalhZEzKoaR7uHsSgyNcUBnDaFvok5frT/FB11ZTy2rQ1RFDjaPcxH3cPIokh7TQkbGyt47WgXM+E4kiiyraWKTY0V80hkmm4Qy5kTGhiksxpjsxEkUcCREzKTJZG60gB1pUsbupYFPJQFFpKDBUHA47DRUVe26OtK/G5K/PN33iktw2Q6SK2vlOKreA0WWZoXHAmCQKHHuWTmsdjnmvf6G0Fp5eIaPVfDkvtuz50wlbcnRoOkkpn/KQMewzCYTSS4OD1DSlVpLiykyOnk4vQ0s4kEfoedtqIiRFGke3qGqXgMp2Kho6wUWRTpmp5mJp6g1O2mqSCwpHHxUhAEKAq4+PyeDi4OThOMJEhnVF47dJ4ta6rZ0FyxLDH4sqHhZVgUia8/uoWW2tULll49xvXOIcMwSGdXLmJ3uf3+MqyKjHyLM4qLedqtFKqqoWkrf206a6rsQu47sMh5zt+tQkbVON0/xtnBCe7vaKTA4yQUT+K0KczFkkyHY3lD2DK/h7E5s1OvsaxgWVXum4GiSPM2oebnYNzS79IwDA6f6eeFt0/ngx2HzcL925p54t526ioKsMhSzvBVzOkMmcePxlO31Bj648CKvik5x5KOJtMMTgXZuaYWAI/DelMnniKJNPsKOT09QULNMhAJ5gMewzCYTsYZiARxKhb2VNUxnYwzGotwMThNUs3meTwZTWMgEkQzDOyyQoPv1rip32oYBkQjSaLhJH3dE3j9TtKpLJmsSjarkU5nGR6cYXoqYmbUgFjuJFxyTCCRztI5NMmv792CLEk0VxSxvbWaeE4uP6tqHOrs5ws719JQVoCuG1wcmWZ8Lsq/eGwH3aPTHDzXT0tlEW7Hld2qx2Hlsa1tHOzs4/3zAxi6gSKLPLt7A5VFt4c8N5sOM5acpcldydlQH4VWL93REWRRYo2nhs7wAOcjA9xbtIEye4AzoT4ANgeauRAZJKtruGU77d46rNLtFcT0+q6f2ZRlEV/gStAVCSXJZu8cAunHiUg6zU/PnsNpseC320mpKhlNYzwaI5RKcXBgELFdwGmx8NrFbqp9XrJ2HVXXOT46SufkFD6bnfcHh/jSunZaiopWPQdRENi+roa7N9Tx8numeuvYdISfvX2ahooCvEuYIYNJKi/wOoFpwNwZG4aB3arc1gyArhtErnMfuBrZnMHjZbgcllteCtF1g3jqxlqDk+ksyWXENa+GYRhE4ykyuWtGFE1+0q3/uA0iyTTJjOk6jmFwYXgSTTcQBOgZm2E2mkASBRrKCpiLJrFZZKLJFHe1rMxqabVwO6w5UV+Tv5pMZQlFE6sisF8PkXiKNw53MZvjeymyxGO71vA7T+/Ecx2BU1XVb1vW6XZhRQGPx2HD47ART2X46p6N+d28RZZuSnBQRKA1YN60EmqW/kgo/5huGFwKzpBQsxTaHewoq+K9kQEEoGtumsRVAc9kIsZs0jwpqt3eVTuef1wQRaisKaBjcy0v/OADwqEEoiji9TtIxNMMD8yQSmUIzcXx+Bx0bKq5bsnEIkvsWltHQ1kBJ3pHWVNTsujNTdcNLLKEgIAgGGi6jiQKiKKZ9jc1X+a/RpZEHtjczLbWKvOGI5j2Ih6HddW765XCIdm4FBvFIipMpOYIZqN4FSduxc7pUA8V9iJiapI6Vxmd4X5C2Shu2cHZUB/98QnuLlxLic2PchMcoJVCWQHpThTFeV1Z6VQG/Q7iU3ycCKdSTEZj/Ku7d+Czm9foeDRKX3AOAYGhUJi5RJIKjwef3UYsk6XSZwbWx0fGuDQ7S6XXS0ZTiaVvXI/IYVP4wp51HL8wnNfUOXJukP3He3h8d/uSwYGSU669LICmajqDE0HWt1Tc1kyxputMzC7tyH0t5sJx4skrwUhZoRfLIlmIa0tdBmCssNakalreS2m1CMdS8wKy5ZBVtby1BJgL8o0Izl0PFlmmssBDIpWhPre+lQc8poeUZkpsiKJIVlUZmg4RjqeoKvLdVpeBQr8Lt9PKxKz5eyiaZGQyfEsDnrHpML0jM/nfi/xOnrqv47rBDpjB0tUaYZ8GrCoXZ5ElYsk0rx3tQjcMZEm8KU0AURBo9hcgCgIpVWUoEkIzdCRBRDV0zs5OAuC32aly+2j0Bdg/ItEfDhJKpyh2mF/8SDRMKG1eQE3+AmzynWr2KCDJuZZtq0JNXRGz01EKizyIkkhwLobP70SSRFxuGyeO9BEJJykoXJ5QKQoCO9fU8K19H9A7NstsNM4H5wdIZ1Vcdis72mrY0FDOC4fO4nXYaK4sor2mBIdV4btvHCWraaytLV0QvF7upiry3roL7Hqwy1YKLB7OhfsosHhAEHArdlyyg5SWwSHbsEkWnLKNpJYmpqaosBdR5ShmJDlNsc2PW7kxTtlqsdLs5tXP0w3jU02SvxlIoohmGERSadxWK5ph0D09QyKT5be2bmYkHMbAwGmx8OWOdfQHQ/zD8ZMUOR24rFZ21dbyxbVrSKrqTV3jgiDQXFPMo3ev4fuvHCWT1YjEUry0/ywbWyqoLls8Q6zIEm21xQjClbbYk10jPHrPmttGJgVzJz00HiSTVRcNXK5F18DUPJmQmjL/vFLcZSiymOfLgdmksFJSdjqr0Tc6u6LnXotQNMHkbBRdN66rLRSOpegfu3IciyJRW357MvhOm5WBqSAn+0Yp8bk5OzSBx24j4HbgtptZJUkSaSwsZGg6iN9lp9R3fbL7jaIk4KakwE3P0DQGMBuOc75vgnWNZbeslBSNpwlf1ibD1PqpKfNfN9gxDBiaCK6q1HonYFV3jelwjFc+6mJDfRl2i4wsXb/+fD0UO1wUO1xMxKOMxSNE0mn8NjtpVeX8jGmS2eQrRBFFWgNFWCSRuJrlUnCWZn+hKfceDRPKta03+wuxSXdmwFNZU0BxmRe73cLDn9+IzW4hGkogiCJOt5WSXHuzxSqjKDKxaBJBEHB7ls5YPXffJtx2KzaLzG8/vB2HVcHvtvP8XjeGYeCyWbFbFPZ0NLKmuoSsquN12vC7HDy7ez2z0QSWnBLxnVKPXeOp4dXxcbYEWlBEmcMz51FEiS2BVhyyjblMhJPBSzS6Kghn4wQzMaodxfgV98fKycqswBxQ1w3SqSuLiM12+zot7nQUOZ3c31jPj8+cRTMM9jY2UOv38+HwMN87fgKvzUrA7mAqFufnnZ3EM1maigoocjp5tKWZV7ou8p8OHMRrs/G1DR0EHDce2FotMk/cu5YPzw7Q2TsBmB49+97r5Dc+v31RAUJRFGiqKaa2vID+3GJ/+uIoXf2TdDSV37aylgEMjs/RNzJLS23xssdJprJ8dG4o32Vjs8i01ZUsmolQZAlnrjxkGGbHzchUiA0ty5unAnQPTjE8EVr2OUshq+qc7Bpm18b6ZcUQDcNgZDLEhf7J/N+K/C7qKwuWfM3NoNTn5os712FTZGwWhS/uWIcomB1vVkXOZZkMrIpCW2UxhmHgvY3O7VaLzOa2So52DpHOqGSyGm9/1M2ujfVUlqyM7H496DnLlfwxlevzowzDYGImQmfv+B3V/bcSrFJ4UMLAYGg6hMNqwaJIN6XvIAgCXquNeo+fiXiUiXiMuVQSv83OYDTEVNKsK7YGihAEgRZ/ITZJIZJJcW52ksfqW1ANneFomISaxalYqPX4ke/QBcVqU/LlDX/OpNN+lb6G45qL3+m6PrH1auLt5f+77NYFWRlZEqkuni/H7nXa8TrvvPJfodXL87UP5X9/unLXvMe/Wn1//v9VjiuE0XL7zXVdrRaRqzRZloKmaUSuEptzue3Iyp15ft5uKKLIvXV13Fs3v0vxj+/dveC5f3T3zvl/sMFvbd18S+dTWuDmmb3ruTQ0nW8BfvlgJ1vWVLN93UJehiAIVJf6uWdjPSOTQbKqztRcjH/Yd5R/+437ViX5b+QyfSsVvhyZCvP2R93UlAewL+F8ruk6h071caF/Iv+3mrIAbfWli25ML78fqyKTyqjEkxmOnx9mz+ZG3Mss5JF4ipff6yS6wrLUYnj/VD8P7mhly5qljVqT6SyvHDo/j7+0Y10NPtftuWfJkkj5Vc0VDuvSPEXHx+Q+v3N9PS/tP8fAmKkufa5nnJ/+8hS/+8Wdt0Q522ZRcNgs+U6rYDRJPJVZtvMwnVV543AXXQNTN338jxuruvNmVA1JFGksL8wrLt8sl8NrsVLrNRfiiUQ0LzB4YW6aeDaDJAi0BQpNCwO7g0q3B1XXuTg3g6rrJLIm2RlM8cBix8pExD7DnYvL3IIb/fm4MDkavK4GRSatMj56ZSdcUu7D+ik02r0VuNnv9VZ/z4IgsH1tLTs66vIBQTCS5Ke/PJX3u7oWVovME7vbaao2uYe6YfBR5yB/+cMDnO0ZJ5pIL9gE6oZBJqsSjacYn4nw/ql+vvOzwwxPBBc7xKLQNJ2X3+vk9Q8uEI2n0PUrnDtTal/lVNco33/laL5EYbXI7NxQR0XxQmHMy1jXWDZv4Xz/VB9vHekmlkjPI6RelrYYn4nw/ZeP8sHp/lWr61+NuXCC7750hHM946Qz6rzrSDcMQtEkP3/nDO/lPLQAygo93LOxAcsKRQuNnDieqmqkcwrBVxeUNU0nnVHJqhqafuME3GuPk1X1fBu9gcn1utHjlBV5eHLP2nmSCS+/18m3fnyQ7kHTNfzqMY2c8n0qkyUUTTIwNsehk31L8q0K/c55ZrlTc1H2H+shk1UXzFPXDcKxJC+9e46f/vLUvE7ATwtWleEx2xtF+iZmsSkKFlliXW0pcOPRrl1WqPOYJNO5VJK5VDIvOJjIZilzuil1mnVSh6zQGiji9PQEE4koE/EogiAwmCM7lzpdlDhunbDcZ/gMy6H7/Nh1VXJDc3GG+s2uHlESqKotxGb/eHaHn+H68HsdPH1fBxf6J5iai2EYBie7hnnrSDdf+Ny6RQX/qkp8PP/ENv78++8yNRcjk9U4cLyH8/2TbG2vZk1dCT6PA1kyhTqTqQxTczGGJoJcHJhkfCaKz21n18b6Fc1RkkQCHgfTwRh/85NDnL00zva1NRTl+H6JZIaugSlePXSe4clgfklvqSnmsXvWLCta2FxTzIaWCt460g1AJJ7m2y+8T9/oDJvbqvG57YgCJFJZRiZD7D/ew+nuUXTDoKbMz/h0ZFW2FYIAAY+TdFblxIUR/uw7b/DAXS201ZfkVOINZkJxPjg9wIFjPcRy5GurIvPQzjba6hbaD12GpuuMTYUZmgiSyWpkshqpdJZEOkMileXiwFQ+GDUM6Oyb4B9e/gi71YLDpmCzKlgVCUWR8bpstNQUY1skk2MYBsOTIYbzx1FJZlSSqQzJVJYL/ZN5bothGHT2juePY7cp2K0KVkXGokh43XaaqgqxL7EJssgSD97VSs/QDG9+2IWq6sRTGX5x4BzHzg+zeU0VLTXFeF02ZFlCVTViiQzjMxF6R2boHpzCYbfwJ7+5d1FxzZKAmw0tFVzonySrakTjab73iyPEk2k6mirwumwYhkE8lWFkMsSBYz0cPjtALJ6mobKQybkosRs08vwksDrSsiJR4nMxPhdFN5JX1TVvHIIgUOv147FYmU0lGM1p8gxFQqiGTpO/EK/VhiAI2GSZNr+5swqmkgxGQxTbnQzHwghAhctLwPbxEFY/zdA1nZ/8+Sv0dw5/0lP52FFSXciX/vWjuP03T8Tu7hxlZGCG6vqiRXfQuqZz5L2LRHOlr0Chm+b2CuSbtM74DLcOoiCwsbWSezc38uK7Z8iqOrFkhn9+6xSb2ippqFxYJhVFkZ3r68iqGn/78w8Zmgii6SavYd+Bc7z83jkssoyU6/DJqNqC3bJ7FTpMTpuFrz2ymRffPcPQRJBXDnby1pGLeJymWGgilSESv5KREQSoKvHzjSe3XbejyWGz8MzeDfSPztI3OothmFmun7x5ilcOnsftMLt1kukskVjKdMMWzdb+h3a28Z0XPmB0Krzi92K3Kjyzdz3JdJafvXOGwfE5/vbFw7jsVpx2CwYQiaXmkaclSeSejfU8fX/HogHIZWRVjV8eucgPXztOJquRzWrLiiN29U/SdRU/CEwit0WWaagq5N/9/sNULOJdZRjwy8Nd/NPrJ0xfqWWOYxhwoX9yHg/JPI6ERZFoqSnmj39zLzVLEOUFQaDI7+K3vnAXhgHvHO0mnVFN8+WJIEMTQQQua/ZIqJo5n6tnU1HsXTKrZLaht3O6e5Qzl8YwDBidCvPXPzlESYEbj9Nm8ruSGaaCURKpLJIosLaxnN9+6i7++e3THDzRu+RnfKdhVQFPNJlmZCbMtpYqbIp5QS93Aq4UdR4fXqsZ8AxGQozFI4zFowhAs68AT679XBbEfHAUTKcYioSRBZFgKolNlmnwBe5Y/s6dBMMwOP3eBU68c+6TnsrHjoaOap78/Qdw+6//3OthajzMSz86wtd/bw/+gvmlVE3TOX96mHdfO0s2o5lWKq1lNLUtLrL4GT45WC0yT95rtqn3jZhk5MHxOV569yx/+JXdWJSFAapVkfncliaK/S5+8stTnOoaZS4Sx8g5RqezKizS8CSJAgGvk3WN5fiW0fy5Fu0NpdSWB/iHfR/R2TtBOqMynVloKKvIEu0NpTz/+Da2ra2+biOCKAqsbSzjX33tXr770hHO903kNW/iycwCFV2308pd62r5xhPbcNmtlATcqwp43A4bd2+op6TAjd2q8IsD55icjRJNpIkukinwue3s3tTA849vpfh6mxTDJG1fbbi5WmRVnayaIRJPoS3Zcm2QSGUXne/Kj2MacEZz6vfXQ0Wxl3/55XtoqCrgjQ+6GBibI5vLrBmQz2hdC0UWKQ64sVuXLqNXlfr4/S/dw//3s8NmiTFrEqQXI6U77Ra2ra3h+ce3Ul9RQO/IzK9uwGORTAO3kz2j2K0WrIpES2UR9pvUIqhy+/Db7BAOMhqLMB6PMRGP4lAUGn0FWHNdV4IgUOp0U+Z0czE4w2A0BLmqrF1WaPLdHvb+Z/gM10KWJTTd4K2XT5NIZNj72HoaW0txOK1EI0lOHunj5z/4kME+k9jn8dl55KnNuJbouEunskyNh4jH0iSTGVKJDMlkhtBsjJmpKxosl86P8eYvTuJwWrHZLdjtCja7BZfHTlGpB+WatmVN1ZgYDRGPpUjmxkwlMyQTGcZHTCIkhqkA/drPjmN3WLDZLdhy4zqcVkoqfFiv2dgYhsHsdJTQXDw/3uV/Tx8byO8oU8ksB944R2mFLzeuObbdYaGw2IPba79hPs6VjIaARZG5f1tzfqcsCsKqFJBrywN882t75mmSeF22nMLv4hk5RZZY31xJY1URpy6OcqJrmAt9k4xOhwlHk6iajqJIOO0WinwuKkt8NFcX0VJbwpqGUlwrNATVcxydHR21VJf62X/sEsfOD9M7MkM4msLAwOuyU19RwNb2avZsaVxVF48iS2xfW0NFkZeDJ/s42TVC3+gsoWiCdEZDkSWKAy6aa4rZ0VHLzvV1+Nx2MlmVrz2ymV2bGgDY0FK5KDna7bTxjSe3EY2n8bps1JYHsFpkvv7YFja0VHDgeA+nLo4xNhMmmcrkjuemra6EezbWs6OjdkXu6rIscveGevw3aHV0NbwuG74lrlVBELhnYz0FvpunT/jd9pyY5fK4nOn5+qNb2NlRx9HOIc71jjMwNstUMEYylTW11hQZt8NKkd9FdZmf5ppi1jeXL5lBAlMuYmNLBf/H7zzI/mM9HDk7wMDYHKFYEk3TsVkUCrwOGquL2NFRx871dfhzn83uzQ2IooBhsGy50W5TeO7RLYRy/LICr2NZkc9r57drUwOFuYBXkSWaqhsuB5gAACAASURBVFYvOgqrDHgyqobDpnBXW43ppyGKt0RW2yrLNHgDnJgcZywWZSwWYS6VpNzpWaCaXOpwUeHymAFPJEgy54PlVCw0fhbwfIaPCR1bamloKeW1nx3nwBtnOXWkF6fLhiRLqFmNcChOLJKTandaefLL2+nYUrvkeP2XJvmrf7+PcCiBpunoqo6mmT9Xt7Wf+qiP86eHkSQRURKRJAFJEqmuL+IP/+QxyqvmXwOhYIL//Kc/Z3oinB/vyrhXSIeDvVN8+89fN40dcz+iJOJ0Wvk3/9fTNK8pnzeurhn8+LsH+XD/xQXjZjNqnrSZiKf58XcPIitSblwhN2+RZ3/9Hh55evMNl/gG5kIYhkGZ141Nltm2toZta1enepvVNMbDUeLpDNXVfraurV5x5xSY5SOXw8rdG+rY0l6Vd7jOqhqGYfo+yaKI1SJjtyo47JbVa5cZBlnVzBJWlvj4ykObePSeNcSSmfwuX5HNwMrjtK3KaPTK+xCoKvXz7IMbePSeNnPsnDv5ZTNSl9OKy27J289YFDkf7CwHp93CE7vXLvi7RZHZ2FpJW10p4XiSVFpF03QEUcCmyLidVpx263W1ei5DliQ2tFSwoeXG7Y5WAiFXBt3YWnlbj7PUsRuqCqmtCPBoYg3xVIZ0Jks8njG/J5uCIolYLDIOm8lNEldA8hcEgfIiL88+sIGHdraSyJ1bhgGpZIYTh3vpuzDO3V+rwe+9ElBWlfj56sPX7560WRQevWfNDb1nSRJv2ee9qmjFZpGRRZFTfWPYFBmLLNNYVnDTapMCZuu5JAiMxyNcmJtGMwwCdjsN1wQxPquNGo8fSRBz+jvmolLh8lBgu/NarD/Drx4kSWTdpho+/5XtFJV4+fkPDzM+GiQ4G1/w3KISD09+ZTuPfnHLsv5ZmbTK9ESYSDi55HPAFKFT1YWpdIfLiqouTI3rms70RJjpyeWVenXdIBlfqF4cd1jMAOYaGBiE5uJMTVy/nJFOZecFbZcRi6ZuyGn5Mn5+qpN3LvZxd301Oxtq2FhVhse2Ol2UowMjvN55CZ/DRl2Bn8c7WhFvoPNUEARsFuW2Ke9e/TnJskTA6ySwgszAaiFLEj63A5/7YxLvFASTyGv7jMi/GkiiiMdlw+OykcmoHOvuobwqQG3FzW36ZVmiwOtckHVqby7nv/2nVz51ysrXYlUBj8dp4yt7NuQJUaMz4VsmVtfiL0ISRaKZDB+ODyEiUOfx47XMXyQEQaA1UIhDlhmKhvIWAq3+IuQl7AQymkZWN1sCNcNAMwx0QyecTnF5idBy3l1WSUISRNN2QRCRBAGLJCEL4nwZdsNANXQymmaOlx9bZzaVzH9GhmEwl0oylYghCSKiICCJApIgoogSiiguiL51wyClqmiGnp+rphtkdY1szkQPA+LZLJOJGJJwZa6SYFpF2CT5s/b8W4zGtjL+7C+fQzcMyiv9ON02Hnl6E60dlRx7v4fzp4eZmQqj6waBQjdt6yrZek8TDS2l2K5TvqhvKeXf/cXXUFfR8XI1bHYLxaULCaregJP//f9+9hqRRANDNwMgQfSwXJeZJInUNs4vDRlGCgjz9d/dxeNf2npD8wUoq/Df1P3jS5vWUeRysr+7j2NDoxQ4HWyvq+KehhrKvB5cVsuy2ZqMqvLWhR6+tHktraVFqJqOLIokM1mCCVP00++wY5FEoukMWU0jlVXx2KwgCCQzWURBQDcM7IqM3aIQSqRIqyo2RcbvsJPIZEmrKmlVwyJJ+Bw2oqk0bpsVRZKIpNJIgoBzGY7FxwFTF0gjo82hGylEwYIi+REx55XRzfKnRfQjCCKqHkfVo1ikAKJw6+eu6wZjw7O899Z5Bvum0FQdj8/Btnua2HxXI4oioes6UxNh3n39LH3dk6Yw5Jpydu9tp7DYgyDAiQ97efvVMzz/+5+jtMIk7s1OR/nx9w7SuraS+x7pQFU19r9xjuBsjI4ttRzef5GRwRlki8zTX7uLptYyBEEgm1W5dGGcD/Z3MT4yhyAI+AJOHv78JuqbTa2jZCLD8Q97Ofr+JaKRJMVlPu7d205ze/ltaVbIZlQOH+ji9RdPUlTqpamtjMe/uIUTH/YxPDhDJJygoMjNA49v4OyJAU4d7UeSJe7a1YzFKtPTNcHeRzuYnoxw7HAPd+1upuvcKD1d41isCvfc10ZlTcGvzFqyooBH1XTzZnCNlcTpvjEqC7035ad1GRUuDwGbnfF4lMFICFkUWVtYsugH3eovwq4oTCWu7KhbA4VLEpZfG+jm5NQ48WyaeDZLPJshoWYZj0XzJbFgOsn/duhNfFYbDlnBqVhwKBYcssIDNY1sK61EvsZ35sj4CG8P95LIZuaNO5tM5Fn7SVXlL058wA/sDhyKBaes4FDM8TeXVPBwTRPKNTvKiXiU73aeIJ4bN6FeGf9yC75q6Lw+cImuuWkcV43pkBXKXR6+3rYej+X2qYD+qsIwYDQYZiwYocDlwKrIjIeiGBi0lhXhq/UxFowQNLIk58KMhSLoVoMHnt3MF39tR17hVhAFZFlElqUV3SxcbhvtG5YWYbtRWCwybR1V17zHNIn4WwA4nN9AEOZvKnTNXNwEcXGJ+Wz2HMn4j6is/TfUNNQtePzjQqXPw1e3rOep9Ws4PzHN+70DvN87yL4zXawpK2ZXYw3rK8socbsWVbeejSfJ6DrNxYUc6R8mo2qsryrjUM8AoyGz3bqpuJAd9VX85NhZ0pqGIMCW6kpGgmH6Z4PE0qZNRpnXzX2t9bzXPcBUNE4ym+Vr29ZzuG+IS1Oz+Bx2ZmMJvrq1g3cu9nJPYy1ryor55+Nn6agsY0vN7S3DrAQzifcYi/0CnSxgUGTfQ7nrSURBYTL+BsHUMVoC/ysWKcBI9KfEMpdo8n8Tq3xjfIrlEArG+d7fvEsinmbT9np0zWBiLMj0RARd1zEMkenJCH/9/7yGqmps2FKHquocOdhNb9c4v/PNB/EXuAjOxrnYOUoqeSXDmE5n6b04QSBn2WPoBpPjIT461E3fpUmKS720dVQxOR7Ka/5oms7JI3383bfeprwyQNu6SnTdYGI0iKbrCAKoWY03953k9RdPsmFrHdV1RXSfH+Wv//Or/It/8wht66pWXJ5bKWRFYsPWevq6J9m6s5GmNrP0PDkeYm4mytPP7UCWJWRZxOm0UdtYwsRokA/e7eILX93O8MA0UxNhBnqnSKezzE7HePvVM6zfUsvo0CyH3+vi889un+cH+GnGigKemXCMsbkIpX4Pf/3yB/hyKoy9Y7M8uLnllkzEpVho8AYYj0cxAEWUaC8oWfS5VR4vhTZHPuBxyAq1Hv+StgJvDfayr6+L5VyMVF3nwtz0oo8FbHa2lJRztU6jgcGxyRH+7tzxZd+XjkFfeI6+8NyCx8LpFPdXNSwIeCYTMf7H2aPX9VyaScaZSS4so9S4fXy+oe2zgOcGEEmm+LBnmBKvk6N9IxiYHTdlfjdvd/aQ1XRcVivnR6ewKzKxdIYyv4cTQ2M83NH8SU9/hZCxWu/L//9qGIZGKvUmouDCan94weMAslSP3fkconjrTRxXA0EQkCUBl2Rla00FHRUlXJqe5bVz3bza2c0HfYPUFwbY1VjLE+vaKHDOJ0gLgJC7yDTd4O2uXuyKwi9OX6C5pJBUVuX0yDjrKkqIZ7Jsqang7sYa0/IgGGZ7bSWHegfZ3VzHyaExEpksgiDgslo4MTzGdDROLJ2hoSjA0xvb+c7Bo8zEEqwrL+X0yDhem41QMkVD4e3xhloNEuoQI9GfUuZ6HI91LdFMF8ORf8JpqcNv3UKJ4wFCqZOMxX6B29LCbPIwdd7fui3BDkAskmRqPMjuvWt54pmtWKwyalZD0w0sFhldM/jo/UuMDMzwb//saVrXVmAYBm3rKvnOf32Dj96/xENPblzVMcdGgjz57DbufXBtXtNGzGXg49EkL79wjLIKP7/7rx+itNyHYRhksxqSaHJkpibCvPXKaXbtXcMzv7YTq1VhdHiW//ynL/LeLzupbyrBfgvUka+GIAhmS7osYbHI+cBEsUhU1hTg85ulqXgsxcG3z9OxuRany0Y4mMDlsVNRXcDZk4NMjAXZuaeNeNSkiBSXeikp91Fc4kWSP97O52S2D00P47SsQxBurU3UikYr8DjxOu2E40nW15WxZ30jAPsOd84zn7sZOBULe6uvLP4+q4167+K9w07ZwiN1zZTkBAmL7E4qXJ4ld9LtBcXEsukbNm2s9Szc6QoI1Hr8fK5qZeJhi2FNQTHSVRG/6Wui47FY+VxV/Q3Pt9juvGP9xO50JDIZdEOnvaKEsVCURCpDZcBLS1khPzvWSVbTKPG4sFsUHBaFEp+L6oCPI73zNY10PY6qdmPoYQTRiyw3IYpODAM0tRcECUNPoOsziGIhstKEIFgw9ASqeglRLETTRjCMDJJcgyRVIghibuxEbuzQvLFBwDB0dH0WTe3DMJIIgjP3erMspWnTqNkuDNLIUu38OWuzZLOdpFOvIUlVIFgQBAuKZWtu7imymbPoRhhR8JlpzqsuC8PQ0LRBNHUEBBlZrkWSygABTZtB1yYRRS+qNoCAiCTXIYol+fd1IzAMg2RWpX92juNDY+zv7iOWzrClupyttZXMxZO8c7GXwbkQf/S5nfgdV3h+fqcdSRTpmZ6lrayIowMjGBgEnA6e2tCO22ZFwGxBd1gU/A47siii66YWjd2iYJNl3FYLumFwaniccDLFg2sauTAxne8iK/W4sUgSNkVGM3S21lRwbGiUd7t7aSgK4LoDlLfD6dOktVlEwUoiO4BhqOhGhkj6PAHbVixSAdXer3Np7i+YSR6i1PkQXmvHbZtPoNDN2o01vPP6GWLRJBu31VPXWJLv6tM0la5zI9Q2FlNeFcirb9c3l1JU4qXz1NCqAx63x07Hptp86enqElQ0kqSve5Kv/MY9FJeYysSCIMxTfe7vmSQeS6PrBqeO9iMAyWQGq03OZVDUBQGPYWQwjDiC4EEQbqzkJf3/7L13lB3Xdeb7O5VvvrdzjgiNnCMBkABFMYiURFGmLEsyJWtsS7afn2TZ42d7bI39PPPGo6fnNPZoZNlWMpUoSxQpKpAgARAkABI5A41G6pzTjZXO/HEbDTS6G7EBUXr81uJCs27VqVNVp+rss/e3v60qBEMGJ462oagKs5ry79yV3iTP9UmlcqiaQnrsX01TaZhdxovPHcAMGNQ2FNPXM0JxaRTP8zE1HStokMs6nDnXyUDvKKeOtzNvYRXxgtAdC3OZWiVSljFdduTt4IZmRV1T0TUVTVV454q54wXTtiybNWPF04K6zscWruBjC2+A8a1p/O6y9dfd7xI+sWQ1n1iy+na6NwmKELx31nzeO+vWmOdXQ0pJy2A/+7o6ec/sJv71wSdmpN3poIxly9xRjEmu3yiEcudLQ1zvmuPBAJau89OjzQgE0YDF4dZOukeSrKyvZDidJeO4lEbDuJ6HruZDVldyRaR0SKf+GTu3G0UpwPeHMMxVBEO/hhBB0qmv47qnUNUqpEzie30Ew7+KaT2K5/cwOvyXKGoJQlj4fh9gEIn+Aao2G3BJp/4FO/c6ilKAlEPo+nKC4f+AokTx/X6SI3819hG1kDKNaT1MIPjesb4lcZz95DI/wTA3EI58GkTeCPD8Pmx7D67TgpQZQCCEha4vAEJI6eK6Z7Bz2/C8PmKJv0ZTasba9bFzr5FO/QtCBJDSQQiLcOT/QNXm4DoHSY7+PZrWgMTD9wZQlDiR2J+iqlN7cq+HZM5mz7lWtjef41B7J4oQ3De7gfWNNSwsLyVg6EhgWXUF//XH2zjT28+q2suZHqamsaWpgaffPExA15ASKuMxltdU8Nzhk1i6xuLKMhZVlqEqyoRnrIzz8fIeAE1RiAUsjnV08+KJM2QdB11Vx/h1+XGtjvEALV1nUUUp39p7hE/dv/4toR1me0O4/ih96R3j2yLGPIJ6PutNCIWI0YSmhEjaLUTNhShiZr0VVyIcsfjAUxuoayxh58sn2Ln1BLPnl/P4B9cyq6kcKSE1ms3XprvCA2FaOoapkRy9Rp0vOZEEfuU59WnKVmQzTr4Yc8RCTBOWSo5mSadyvPbyCfbvmahNU9tQMimsKqWP557HdY5gWA8AoXznUAF37N9Lqwp/7D8FmBgmNwyNdfc1cfxwK0MDY/UnF04MkYajAR54dAmdbYPMW1xFYKz6e01DMas3zqGwOIKmqZSUxnjXEys5c7KTXNahWinCdX36+0ZZvWEO9jQJCLeCjHOWocw2fD9N1FpD2FxJ1j3LYPolgsY8YtZ6pFRJ2gew3S5ybiuWXkMi8MAte35urniophK7wuqtK/3Zu2J/UeBJyevtrRzq6eSRxjncyXwzRVF418e3sPrBJXfwLNB1oY+ffGU7qZFrZx5dwgO/soHGxTXTflBmArHCCKHY9HfX0nU2z28glbOxdI0jrd2YusqqhioKQgFs1yeZy6GrKoaqoioCTVV58Ipwlp3bjZ3dSTj2x2haDa5zhuToX6Pp8zHNLUjy2VDB8MdRlWIy6W+TSX8P3VgLgC9H0LU1BENPIWWS5MjnyGaeJxT5LezcXuzsDsLRP0TT63GdsyRHP4+Wm48VeAjf68ZxjhCJ/gm6sQgpcwhx+XpVtY5g6KP4/uQ6TprWSDD4IVznJIZ5D4Hg+xFoIPKLGiFCBIK/hKIUkE59ZcKxvt9LOvklDGsjVuC9IHOkkl8knfo64egfAiD9EXRjDZb1AK7XyujwX+I4R2/Z4PnW3sM8f/Qk5bEIH127nJW1VRSHQ5hX8KYEUFcYJx60xuX+r8S6hhoaigqwXY+QaVAYCvKeJfPpT6bwpCQesIhYBu9fvoCgYYzdB7i/qQFNVakvShA2TcqiYQK6zvzyvCftscXzSAQD1BTGMca81o8vnY+hqUgJAUOnpiBGTcHMVL2+XZhqMaZWQkPik+jK5RIElwjJvnTpTv0EXzokrOV0JV8gGK/BUKcvsHm7iMaD3P/IElbfM4dzZ7r51pd38m9f2sEf/Pl7MQydRGGYvp5RbNvlUk5RJpXXsbpE4BeKwPP9CUrIuaxDaorCp9d6DoGggaIIhgbT+J5E1SbvG4uHiMaCPPHhdSxbPdHzr+kqochVXDm/i2z6a/hOM55zAsN6B65zCCPwONnkFzCDT+Lau9H0pTj2bnyvD0Utwgy8D5TL6u5CEVRUFVBRdXk+rq6bqBCuKIIFS2pYsGQiT9CydFatn315P1Whpr6YmvqJocp7Ns+b9t7cKgQKplaO72fpTT1D2FyOoZahqQkyzhmi1hoEKsncQVyvj8LQu1GVMLfj+bntuIfteRzt7eZgdyejzuV0WUvVeN/cBRQHQ3i+T/NgP3s72xm1c1RFYqyrrKEoGERKyb6uDk4O9PK+OQsI6vkYpJSSrlSS750+zrsa51ATzb9YPekUr7dfpCs1StQwWV9ZS338cuirL5Nm+8Vz3FNVQ3cqxb6udjzfZ15RCavKK/F8ycsXWqiOxlCEwt6udnKuy5yCItZVVGNpGm2jIxzo7qQ8HOZQTxcryiooCoTY0XqOwkCQe6vrCYz1M2nb7O64SMvQILqisLSknEXFpeiqiuN57Gq/iBCC8nCEPR1tjNhZKsJRNlXXETctPCk50d/D3s4OfnDmBFnX5QsH38BUVWKmxQeaFo2fa6YgFMH6x2a28vRUOPHGGbY/s/uGDZ6VDyxi4+Or77zn6RoQAiKWScTKf5xqi+JUyxhlsfwkYGhMGYIwrlgIOM5BFLUIXV+Sj7EbK1DVMhx7b547I0HTm9C0WQihYZgbyWZ/iue1oSgJQGKYa1CUIiCObqzCzr2G9NM4zmEUtQDdWIoQKroRQ1Urse29WIGHUNRiVK2WdOqrmN5mTPM+xBUTmBACpJE3ZCZduzZmHKkIYSBEcMJKKv+B1RBTZOX4/gCud5GwsRZVLUZKiWFuIJX8W6SfT10XSgzT2oyiFqIJFVUtwvduveLygopSFlSUsqy6HFOb/lMWNk2eXL6I+im4MrqqUpWYyEXSVIVgwcSJvCB0OU1biLznDyA4loZujemRVRkT27Ku0ClLhPJZWy+dOMObF9p4eOHcn3l21iUUWCvoTD1P68g3KQluBiDrdlEQWI2uJEjaZ2gbfYba6FOEjdmcGvgretIvURl+322FJKdDJp0jm3GIJYLEC0IsWl7LqePtbP3hYVzHJxhSWLqyni/93YucPd3N8jUhfF9y4kgbXe2DvPOxfDgrXhBkeDBNd8cgdY3F+J7k+JFWujsmqwhfC5FYgKaFVby+7SQr1jaOGxS5XN7zY5o6jXPLCEctTh1vZ+2muUSigXwdqtFs3k9zlUGlqhWY1kO4ajlW8CkQOq5zBCf3CkKYuPab+F4fjnwDIUIEI0+RTX8Vx34Tw3pkRu7zzwpSeoxkd+P6Q6hKBMfrRSJRlRC6UoTvXy7eqwiToDGfoNF02+e9LYPH9X1+craZLx56k0XFpRiqytbzZ9FVhV+ZvwRdUfCl5KfnzvDFg28StwJETINtred48fwZPrVqPfWxBMO5LE8fO0RtNM7G6jogz2d55eJZvn3yCO+oy4tbnejv5W/efJ0RO0tRIER/Ns0LLaf5vdUbWFZajiIE/Zk0Xzt6kOaBftqTI+iKwnAux4idY1V5JWnH5vunT2D7HqoQRAyToVyW7546xi81LeTXFq+gdXSYv937OvMKi+lJp3i2+QRLS8vpTiW5ODyELyUPN8xhIJvh7/bu4mhfNyXBMBnX4d9PHePDC5byS00LcXyPbRfPcbi3i5hpYWk6tufynaGj7Ovq4I/X3YsQ0JNK0ZUaZdTOISWM5nLkVBVFiGsSrd/GnUdN4S2sYKXNxFdLATSkvKxzI9AZJ8ELDfBBulf8boz/JYQOY5kzU7UthDa2HRSlmGjsz7FzO8llt5PL/phg6Ncwrc03cQG34nHw8/27YvITQkdKd+w3EKgIcak8gOCyq/7WsKauauw81+5v2DR4dNH0H0vHdxmyR8n5DgHVJG5EUG9xEs95DkPOKLqiEdcjk9LidVVhVkkhDcUJagum5igKkVeirS3P/x60jDuuU2OoxTTGf4uO5LOcH/4yQqgEtWoSgZVIXHrT2yiw1lAYWIsqglRHnqQ79SIJaxUh/ebEHq+ElBJHuoDAUC6P6/bWAb7+xW1YAYNoPEg6meVsczcb7p+PFTQQQrB0dT3r72vi6X/ezmuvnMD3fM639LD6njksW5XPHqypK2beoir+7Us72LOzOS8KOpiieAoJh2shFDZ5zwdW85UvvMLf/7cfUlNXhEQy0JvkkSdWsGJNI4VFEd7/4fU887XX+fyff5/i0hh2zmWgb5R3PbGSVffMRlWvHqt53l0eKqpaQy77HIb1EE7uVVStCcjl5SOEgVASINO81eD7Pv2pDFJKiiKh64p3ShwyTjNR6x4UoY8vwBxvENfvx/WHcLxedLWUPGN2Zjipt9VKznX5zqmjLCkp5z+u2YCl6VRHYjx35hT3VNUSMy26U0n++fBelpdV8NvL1xAyDM4NDfJnr27l6eOH+fSq9awsqyRuBXi17QJrK6rRVZWs5/LyhbOsraimIhzF9j2+cuQAWc/lv977TirDUYbtHL//8o/4ytH9NMTvz5enAHrTKY70dfOn6++jPp7A8/NkYGNMp8eTPueHB/mr+x5kWWkFtufyF6+9wisXzvLorHzWWdvoMP95wxYCms4f7/gplqrxXzc9wJ++upWjvd1srm3ghZbTvNHZxn9afx8ryirJeS7/88Ab/NvxQ6ypqKY0lHe0Ng/288fr7uPds5vwpeRrRw/w3VPHOTs0wLzCYu6tqWdVeRWdyXz190+tWp+vHyby9cPexs8XVK0Wxz6AlKMIEcX3B/D9Pgx9wfg+nteJlEmEiOK55xHCQlEvi4a57gV0YxVIG9c9j6KWgzBQtRoc+82xtuNIfxDP68Uw85w2IQSqWo4VeB+m9RDJ0c+TzTx74waPEGMG1JiBdYMQIowiwvheF1KbB3i47rk8aVlc4R25JWNqahxs60RVFBZXlk367XRPH6mczbLqiimOvAzbd9nVd4Qjw2fRhEp5oJAHSlcR1CZzE1NuFtt3SBiTq05fwpAzyo8792D7Lh+pexBLnejB0cfCYNeCqWs89dhqPvTISoDx4pB3FAKixnwiBbOR0iNvaCtjhjnUx3+NSxOPEIKiwAYKrLUo4vYMMQkcGjxP3AgyO3KZd1JaHmfTOxZwvqWHTNqmoCjCmk1zWbaqAdPM9yEaC/LUJ7fw5uvNnD7egRSSJe+poXhRlKPOWRqyFZSWJPitP3iYXdtP0dc7iiiSPPH+dXS1DJEoCmP7LqqqMLupHF+R6ObU91lRFOYvqeFTf/IY+3a30Nk2iKIKlqyqp6auOM8/BNZunEtFVQH7drfQ2zNCvDDEwmU1zJlfMWVKulCKkH4/uezz6MZaFLUU6Y+gqOVImUFRi1CUEpzcDnL+t/HcM5jBxye04fk+53oHaenpJzlWmiMesKgtilORiE7KAr4TGM7k+NwPd5BxHD73y49M8GxOBYFJQehdjGb3oKulJIIPIBCk7WPYbhdSeoxm9xEPbiGgz0JVZkZk87YMHh9JfybNqvIqwoaJIgSVkSg5zyXr5lM0D/V0kXIc3lk/i4JA/sNXH09wX009zzaf4KOLlo2FuKp5tfUCHclRamJxmgf66UyO8t7Z8wjpOmeHBjg10MvaihqCujGusDyvsJiXzrfQm06NGzwSyabqWmYlCvOEwKuetxCCeYXFrC6vyov0aRqListoGRpgOJcPy8XMAOXhvGR9YSBIY6KAkGFQHAySdGyGsln2dLRSFopQGYkyPNafpoIifnqumeN9PZSG8quMqkiM+2rqCWj5j8PC4jKeO3OK3nSK+UUlaEKgj5EihRB5xA2vOAAAIABJREFUQcK7MEjfxp2BYd5LLruV5Mj/h24sxnEOAwqmdW9+ByFw7EOkU19DVYvJZl5A15egqlV4Xgegks38APCR/hCOvZ9Q+DcQIohhbhxr+6/RjSW4zlHAxzTvA8Cxj5HLbUVV6wAfz21H1/NGfD6DqwfPvYjndQIKjnMEVasay5ZSESKAps0ml9sxpsMTwjDXoShhfH8Uz72I6zYj/WFc5xhgo6pVqGopVuAR0qlv4nm9SJkil32ZQPD9dyx9/acnmgno+pQGz74L7exv7biuwdOTHWR3/3Eer9pEfagcx3cxFJ1RJ40rPTShEtQsXN9j/+ApbN9lRWIOES2IBFJeFl/6mIpOQDUptQpYV7SQV3sPjp8j5zlkvHxYI6iaGIpO0s2HeV3pEVDNCYaREGI8UeROQkrJ0GiGSNCkfyhFe/cwyxdUT+ngu+xxvNRHFVWoSCnJ5hxsxyMavmwk5jyHvYPNnBxuw0PyWMUqjg9fpDZUyqxIOa90H6YiUMCwk+aZ1tdIGGHmRCp4rHINhqIRiQbY8vC1s8CEEARDJvc+sJB7H1iIJz06Mv38sGM3Qd/Ax8fBJVEZ5t0fWo1E0pnpp8iMsWhBHRdSXRwZOsuCWB3z11Zjz82R1WwsXyfnu7jSyz8XKbGli0BQVhXn3U9OnwCjaoL62aXUz74xXpqq1WMG34fvDyGEidAaCER+D1WbRSD86/n3UkkglCi+34tmLEPVGse9mjnH5fv7j/P9fcfoT6ZxPR9FyYvlziot5FMPbqCh5M5zbcWYeKahqTe0pBFCEDGXEzGXT9geC2wgFtgwYVvUmrmEo9syeDRFYX5RCQe7Ozja203YMNjV3kpJMERJMO+67sukUYSgOHjZQtOEQmkoTE86he3llWU3VdfxnZNHOTXQS2Ukyqtt5wkbBqvKqxBCMJjNMJTL8sOWU+zuuJwCnHYdwoYxgZRmaholwfC02Q8K+f5cyZo3VXWs0nG+HUvLh5RUoaAKBUvVEeSzM1zfJ+u69KZTtAwN8H++9MPxlavje6hCwZOXXfWFgSDmFQaMMZbZ4U+VKjCDsP0Mg3Ynpdatp84DDNqdaMIkor9NUr8RKEoR4chnyGSexbZ3oyglhKO/j6peJgwaxlqE0LFze9GN1QSC77uCGyOwrPvx3BakTBIMPYVp3YsQ6ljbv0c284OxtovzbWt1+SOVENJPY7s7EcLANDeO6ekA2Ni5Hdi5N8ivrT0y6W+jG8uwAo8jRBAwCATfD2kFO7cLRS3EMPOeBs9tIZ16GkkOVasil30RxzlCMPhBFLWKQOgjCLUYxz6IQCMY+jCmtRkhNBSlGN1cDeOpt9q4kXenMJqbXCrjanRl+4nqIRrCFWhCRVc0RpwUO3oP0p0dRAIPl68l42bZ3nMAH+jK9PNIxVqynsOO3oOMOmlCWoB3V24gNIVnqCXZzr7Bk2Q9h6pgMfeXruCfzz5PRaCIQWeUykAxD5WtmVYp/k7A9yVdfSO8svs0i5sqURXBqbPdGLpKSWEETVUYGE6jKIKSwgiDw2lGUlkqivPGa2fvCKahUVIYZv+xVoZGMqxf3kBRIp+ufCbZwZGhCzxUthxT1YnrIS6me4kZ+XngYrqXqB5gfqyGxsEWFsRqWRSrRb/F1GwAVahUB0sotwpoDFfQPNpOd3aQw0Mt1ARLSRgRDg6dYVPxYoqI80b/SQbtUQKqSc632dV3jJzvMC9aw/7BZlzfpczKe13bM72UWAkWxuqv6eG7WQiho+mLJmxTjKX5f5XL2zV9HjCZOHysvYevvbafuqIEn3pwA+XxCGnb4Ux3P6PZHInQ3Sm3FA2YfPqhDYCcwGd8q+G2DB5T1fjg/MX82atb+ezOrUQNE1PT+LXFKygP5wdFYIxMmHUv8xMkkHEdApo2HuurjsRZUFTCzrYLzCko4kB3J0tLyikJjVVIVVUCms6aimoerJ81oR+6qlIVubyKVBDXjSFOitGLy327atOUUITA1DQWFZfy0UXLxzMxLv1Wd4WGUP5cV+v4TBMwkFf34tYx4vSzf+BHPFzx27fVzunRPcT1Uubq62akX7/oEEKg6bOI6J+Z9JuUHkiJohQRCv/GNC34aPpiguGPTdN2I2H901MeqWn1RGJ/NE2/LALBJwkEn7xm31WtinD0dyf9phtLiY19jKc+Nkow+CRM0b5uLEE3LmcFKkqIUOQT07Y1HTzf5+LgMCOZLL2jaUxd5VBb54R9RrI5Xj1znkTg+pIZgvyiRhnjU11a8JiKQdyIsG/gJD3ZQZbGZ7EsMYegarG5dDlSSrq9AUJaAEUo7Bs4xTtKV04yeKSUqEIhooUQZNg7cJLNJcsZdlI8WbMFAXy3bQcpN0PMCF/dvTsISSqdo38oRTpjEwwYDI6k6RkY5cyFXqKRAD39o8yfVYYiBHsOX6AwHuRcaz/L5lfRN5iks2eYJfPyf2eyDvYVWXCDdpKEHqIiWIguVPyx9GopZZ6343tIIKAaWKpBRAuMG0MzBU0o9OaG8aXkXKqLlQVz6crmBWAjWoA50Wpyns38WC2D9ihzozWsKZxHe7qP86ku6kJltGV6iOlhakNlrEjMeUtk1F2ClJL2wWH6k2l+/+FNrGm8rKjeVD4xy8rx8qKNuqpMSo/3fB9nrKzKpUoKtusBEl1V8Xwf1/dB5rO9tDF+KeQNZ9vzkDLf9rXmXX+sHV9KpGRc1kG9C3Ikl3DbTKChbBZTUfndleuojsYIGyYFVmD8wucVlaAIwYHuDmYnCtFVleFcln1dHSwsLiUyVisrZppsqq7n6eOHeKOjjbaRYX5z6epxM6E6GqcsFCHt2CwoKiVi5Ilrru+R8zyC2t2Vvo4YJguKSnijs426WIKaaGzca5NxHAK6Tta9cb0CIfL6QgOZTH5wzQAE4Eqb3uxFJD4JowxVGKTcQZLuIIZiEdPzrte0N4Tt57D9NAmjAkOxGLZ7cGSWnJcCHXzpMWR3k/PTBNUoEb0I20+T9VLk/DQCQZFZjXIbq7SZhOt4pIbThKIBtGn0Nd7Gzxdc3+eVUy3sbLlAc08/UkqOd07O9AroOh9Zc33huSIzxrCdpCPTS3mgCE/6nB5tpTXdw5bS5ZxLduDLS6RrMe659aTPjt5DFBhRmiI1HB8+P2WCge27vNyzn/WFC/HxuZDuAsBSDUrMBENOEk2oEzzCdwOKolBcGKGqLE5TQykDw2mqyxOsXlzHD7YeJhQ0qa8qZNGcCk6d6+FixwC6lq/CfaFjgJ6BUQZH0vi+T3V5As/zqSy9TPAvsxIcGbrAocFzmKpGXaiEYjNKc7ITTdHoyPSzJF6HAEKqRUuyk6gepDZUjDJDvMWKYBFbu/bTGK7gfKoL23cZspP050YoD+QNsfbcMMN2/hnYvkN3dhBL1SkwolQEiig0opxNdmAq+lvK2LkES9dQFYX2wWGcMV2wqfDSsTP8+95jfHzTStY0Vo9fi5SSF48288ybR/nYxhXcM6cOgH/a9gbD6SwfWLuYHx06xZ6WVnKuS1NFCZ/csobyeF58sXVgmH/cuou2gWFSOYf5lSV89r33Y17F4bFdj1dOtPDKibNc6BvC9TwSoQD3zKnlsaXzKAjfnWK1tzULSClJ2TZDuSxbL5wlbloYqkp1NMbG6joSVoA5iULuq6nna0cPkrRtysIRDnZ3cqy3mz9Yu5G4mV8RqYrCyrIKvnPyKN8+eZTKSJTGK9LNC6wATzQt4H/s3c1f7d7BstJ8QbeLI0OUhcI8MXfhBC/LnYalabxn9jwOdHfyX3Zt497qekJj9b1G7RyfWLqam3k/NEVlflEJ/7h/D988cYSaaAxNUdlSW49xG6rJSWeAc6mDJJ1+Sqx6qoLz2D/4Iyw1jO1lqA0tImGU8XrfM8T0EhShYiohBr0Ojg1vJ6oX05u9QJFZS3v6JG2ZkyhCJeUMsqzgIQZynZwc2UmJVY8qdBJG+VvG4Gk708Uzf/8TKuqLefAjGyksu3OaITcOgRV4B0wj2qYocYKhj6Bq1+ae/P8Vpqbxq2uWs3luI/+4fTeeL3l4wcSSHpau0VBUQHns+qGHUquAOdFqnmnbTkIPUx0sJaoHGXKS7B04xaiTHg81lQUKebX3ECk3w70lSwlpFudSnQw6o7jSQwjBqZFWXu87QvNoOzt6D7GqoAlL0TkyfBbBRM/yhGLEM3N7bgqWoZHNOew7dpHCeBhNUyZ4ni+tvMuKotRUJIiGLYoLIpxr68f3JOallHxT543D5ykrjlFXmVc9rg+XcV/JIk6MtCKRVAQKuad4Prv7T9GR6Wdz6WKqg8UIBOuLm9jVd4ozyQ6qg0XcrgxXU7SGmB4moJosjjdQGyqlxIqT9XIUmFEc6ZHzHKqDxfTmhhh0klQHS5gdrmQgN8LcaA2L4w3050aIakHqQmVThipnAmk3RZ/dQ4VVhabc3KJdCEFTeTGzSgr5+usHcTyf++c3UlUQnzT3LKws5Qsv7+GVEy0sqSknMPbs0rbDtpPnGM3mmFV6OWmibzTFodYuOodGMXWNdbNryTrOuGfmEooiQX5p9SIu9g/xjV2H6BwanZKqYbseLx9vwZeSTXPrsHSNYx09fPGVN7Bdj6c2rLgrobDbMnh60yn2d3dQHAyRccaqCXsuL54/w6GeLj69aj1h3eBji1ZQGgqzo/U8qVabslCEP1p3L+sraya41+piCVaXV/Fa+wU+0LiIuDVxkG2pqUdI2NZ6ju+cPEp/Ok1T0Rj5eOwhGKpKXSyez3Ka6oIVhYpIhJLgRPdpzLSoicawVA1H06mPJdBVFU1RqIpEiZomAkHJmK6QEDCnoIg/u2czzzaf4CfnmvGlJGZa3FNVg6GquNKnOBgaT4G/hICuUxONEdIvEwFVIXi4YQ6DY2ToXe0XaSosZlN1HcYtjgMJhLQES+IP0Je7yMmR11CEiiYM1hS+l9bUMToypwlrCQSCudF1FBiVSHwODv6U0kADC6KbyPpJfOnSktxPn91KTC8m7Y4w6vQDENLiLC94GIEyo1k4t4vTB87z+vP7qW2q4L73r/lZdwfIK9aa1pZpf88bPB+6iz36+YOmKtQXJljXUEM65/DAvFnXP2gamKrOO8tW050dJOfbxPQwMT1EiZnAR7KuaCEJPR9qWhCtp9CI4kmfoGZxX8kyenJD6EJlfdEi4noYTajcW7KUDcWLCKgmYS3Ae6o2MmQnsVQDZSz9+iN1D6IgiOkhHq/aREyf2XDODV27ofHAPfNwPY9w0KS2IoFl6Ty4YR66po5Xso9FLO5fN5dM1iEUNKgpT5DM5NBUlXjEAiGIRwLEo5dX6apQmBerZl5sYuHah8sn639VBAp5ovrGlfOvh7nRy1y51YV53kuplecfVgYnhnq2lF4mzS5JXB5HC2N3pyhuxstwNnkGQzEJaxFMxSTlJgFBUAuS8TJ40sNSLHTFGPsNInoUVahUJmJ85uGNfHnnPr65+xDPHTjBkppyHl48l/mVJeM6T2XxCBvn1PHy8RaeWLWI2WPGTUvPAMfautk8v4Hi6MSQatvAMFvmNfDLa5dQEA7i+z5Zxx03lgBCpsHK+ioaigt45cRZktmpeXNhy+AzD2/E1LXxki09oyn+4zdf4MCFDt63ciGFd8HLc1sGz3NnTnJyoJe/uf8RioJBQOBLn2dOHeNfD+/j15esJGKYJCyLX5m/mA80LRoTYMq/EJM1KlR+f80Gfk/eMy7JfiUEgupwjP98zxbSjsMX33yTB2bNYmVl5fg0WxuN84UH3zNtVdqYafGn92yeNDG/s24W76htHDfA/unhx9HH/v6/N74DRclP57+xdBWQN1AuZXvNKSgat2rzxOZ83zUUfn3pKiRyQnr5gqJS/ub+d00w9vKpnkF+Z/kavLG2FDEF1+gm4UkHV+bwpI1AoAsDTzp40sWV9ljqqcBQAuiKhSLy2kmKUHF9Gw8PVzr5FHnFYG5kLU3Re3CljaFYXEgdwVIjqDNc5G0m0N85RC5jUz2nnIKSn22hy7cx89jQWEfOnayefDMQCAKqSV1oYqZXTWhylo2p6tResZ+h6NRrE0mhCSMyidRaYEQpMKITtlUE8sJ1utAota6dpn6nIISguGAyb6goEZ6039XbErGJk1NNxdsJDbeKAbuPEyNHkEjKrAo6Mm0YiklQDdKZbSeix9CERqlZxsX0eVRFoy7YQF2oEUURLKwq5S/e9wCHL3ay/dQ5dp+5yCsnWnhyzWI+tG4Z0YCJpijcv2AWz+4/zp6WVhpLCvB8yYHz7QxnsmyZ1zhpvi2OhNgwp47CcDBfPkdVCd9GFCVimZzp7qdjaIRUziadc8jY+ffX9e5OSPe2Zqm065BzPUYdG8vWAclQLsux3h7KQpHxeKIQAoHg6iQEKSW9qRTbz58HoDgYYiCTJmnb6KrKqspKDnR04vg+D8xq5OLQEM39/cwqKKA4FGJhaSmmqjGxxk3+wUwHIcSUmQCqoqBIH9sfwpc2IBAyiCZCE+Ki2hXncv3MGOnRnDYjTJsirqUIgScyQF7V9sq+qULMWMk0TeiYaohDgy+S8ZI0hpdTYtUx4HSys/ebqEJnbmQthhrAUsPjxE2BQk1wAUeGXmZP37/j+jYBNUJZtJETwzvZ2fsNLDXM0vg70YSBqdydTICbxSUCajgewgi8NRRtZwpSSlzbw7EdXNvFc308z89fs5T5d04RKIqCoilouoZuqGi6dldqlt0NlESm94p4vk/O9caVkH+RIaXEdTyy6RxO1sEfmzwUVUHVVMyAgWHpM6JgLn2JnXPIZez8uLt0LkWg6Sq6qWMGDBRV+bkfY9KXOI6Lk3PH3jEP6cvxxa2i5N8xTVPRDA3d1NF09aavu9AsYml8FW8MvEZHpo3Z4SYMxeC1vm0UmiWsiK9mV/8OWtzTpN0UMSNB2kuNH38pJXztrBqW11VybsUgX3l1H0+/fogFFaVsmFuHIgQNxQWsm1XLS8eaeWxZE67ns+3kWZbVVlA7hTZUyDQIW+ZtP0cpJR1Do3xp2xuc6OglZBrEgxaaojCUzhCYway36+G2DJ4ttY0c7uniP21/keJgKK88mc1gKCofW7xinJ8zHSRwpLubgXSagkCQl8+eZVlFORnXxfY8HM+nMhalua+f0339NBYWcLire8ZIvVfD9VOcHPhHQKIqAXQlQmPsQ2hi6g/rqHMWVRhE9Eby3i0Xxx9BV6Io1/F4DGQPkTAXYqh3zvMQ1YvYUvox8spEElMJIlBYnngIx7dRhIoxZqysKngMTcmHAYUQFBgVrCt6Al/6CKGgCQNVqKwufA+edBBCxVSCVATmUh649ZDCnURhaQzDMsilc3iOi2Le2cnv/PE22po7r1kwtaKhlPoFVai3EK+WUpJJZuk630vXhV7az3TT0dJNb/sAw70jJIfT2GMTnm5qWEETM2gQSYQpriygpLqQkupCiqsKKKosoKgigRm8/Q/atXDuaCttzV03pBheXldC45Laab2zN4O2oWG2nT7HU2uXX3/nK2BnHQ5uP042nbvuvooQLN7YRLTw1j7Yned6aDl8Ydrx0rCgmopZpSjXKC6aTec4d7SV47ubObX3LG1nukgOpZBSEooGSZTGaFhYw+zldcxZXk9pTdEtj73RgRSn95/lxJstnN53jr72gfFzWSGTwrIEFbNKmbOsnoZF1dTMq8S6Q+Mrl85x6NWT13xOmqay5N75hKI3viCTUpJN5vLvV0sX7c1ddJztoftCLyODKbKpHLmMjQDMoIEVskiURCmtLaK8voTqOeWU1ZVQWlOIdYOFtXWho5CPeITVCJ3ZdkzFpNAsZtQd5lyqBUMxiekJhpQByq0qygOVk9oRQmDqGnPLivjltUt46dgZzvcNsm52DYqqEg2YbJ7fwD+8uIs3z7YRMHRa+4f5xP1NRAOTKSBCcFM81OngeD7f33eMbSfP8lv3r2PzvAZMTSPnunz2ey+RzF7/XZsp3JbBs6CohD/feD8n+nsZyeVQhCBuWsxKFFIZiV43NRzyWReO71MaCSNEvmp6SNdxfcnR7m4c3yPrOtiuO0aoy6fBuWOpdI7v4fn+pFS7W4Eck8afFfsIllrEsYG/JuW0EzEakNJDklcgVYWFxCWi140V18vLg6fdDnozuygN3oulFiDQ8aWNxAUUVGGSN4xsCq1l+XakROIhpYvEH2vfnJH6NIpQsdTJxpouLHRl4stoqBM/CkIomFMca6oTXdn5jIq35ip6wdrZFFXEOX+ind72Qcrri+/o5L7tO7t55m9ewLGnD7M8+Kub+M2/+hVC0RuLV0sp8RyP/q4h9r10hIPbj3P+eBtd53rJZa6vMzMJIl9AtbS2iPK6EuoWVLFoQxP1C6owgyaaftkrOxPY+o3XeObvfoS8hhF4CY98fDO//flfRZkBPZqu4SRvXmi7aYMnOZziHz79Vbou9F53X1VX+dyP/4gFt2jw7N96lH/8g6/jTjNePvCZR/nInzyOYk7+FvieT/uZLp7/0su88eODdJ7rHfdoXkY/5462sn/rUYyAQeOiGja8dyUPfGgjkYLwDRmWUkqcnMuBbcf48Ze3c/T104z0j065b+upTg5uP86P1e2U1RazZNM83vmRjcxZUY+q3bzn41oYGUjyD7/3VbrOT/+cNF3l8y/9J5pWNl6zLSklnusx1DvC3hePsP/lo1w40U5HSzf2TVYGD0YClNcXU7+wmlUPLmHJxnlECsKo2tQer7AWZla4CUu1mB9ZTFAL05vrRkGh1CrnyPABVKGyILaEsBahM9OOjz8u+uh6fp4yoajjxoknJcOZLEIIwpYxPg8LIVg3q4Zv7TnMztPnkUBxNMTy2soZmT+nQ8Z2ONc7SMg0eOfC2cSCFr6UDA9m6RwcJXIXve+3ZfAoQlAViU3QwLkZCGBJWRkD6Qw9yRQhw6AgEBhP77Y0jea+fqKmRdg0ONbTQ386w+GubmoTcTpGR8g4DuWRCJXR6HXPdyPwpc1Q7hiKMBFCx9JK6Mm8xnDuJL70MNUC6qJPMGyf5tzwNygL3Ud5cDO2P0Jb8gX6Mm+QctooDW4gYS6iM/UyI3YzQqhUhh4ipFfTnX6V7vSrzE18gqBWTm9mF32ZN1GEheunaIh9kKBW+XPvEv5Zo7yhhId/dRPf+bsf88oze3j04/cRLQj/TO/rUN8ITu7GeCee69HR0s3rz+1j+3f30Hm+l8xohtvSq5Qw3DfKcN8op/edY9cP9/PcF7dSOauMle9YxEMfvZdY0d1zMd8MbNfj4uAQpZEwEcuke2SU/tTUhWlP9/SNaYn8/KLtTBee66Nftfj2XI99W4/y9H97luaD56c1mK6EnbE58cYZzp9o48QbZ/jAZx5j1pLaa4a5pJQM9Y7wwr+8wo+/vJ3etv4bGnu+59Nxtpvui70cee0kj/76/bzjVzYQjgfv6rvnOh6dZ3uuafBIX9J1oZddz+9n2zO7aWvuIj2SvuV3LD2aoeXwRc4ebWXPjw5SPbec+3/5HlY/tISiioJJ99tULUrUPC+sPJAX4Yzp+WzSIXuQykANcyLz0JW8UdAQvlzZPOe4vHD4FC09/SyoLKUoHMKXkgv9g3xv7zHmlhWxqKpsguMhFrDYPK+R77xxGNv1uK+p4dbqBZKvdzmYyjCaydGfTJPM2mRsm5aeAUKmTtg0KIyEsHSNykSUvefa+MmR08yvLGEwleEnR5oZzeZ+fgye24UQgrJIhA8umV5C/L76iWz5LQ2XVYN/d93MC+H50mHYPo0mLFRh4ckstjeMLx3mxP9DXu1W6CTMBQxby/GkjQRMNUF5cAu+dGiMfRhTTeD5WXQlSlCrZCh3jKHcUaLGbCrD72Qwd2SssCLkvEGE0Jkdf4qW4acZtVsIapNdlm/j5qCqCg8/tQmE4Edf3k7XhT5WPbCQivoSrFDe2zYVhICS6kL0O6DdM9w7ekMGTzaV49Xvv8lzX3yJ5gPnx3kZMw076zDQNcRA1xDdF3pZ9+jyt6zB059K86fPvcQnN65h0+w6njlwjG/vOzLlvjnXvW7Nqrc6Os5249ju2FjNw3M99r98lP/1h/9GW3PXTbeZGc2y8/t7GeoZ4RP//cPMXlY37b7DfaM8/d+e5Udf3nbDRvqV8FyftuYu/vWz32F0MMUv//6jGNbd5dJd6x7ZWZt9Lx3l+//zpxzeeRLfnbl3TPqS0cEUx3efoXn/eV77wT4e+437Wf3QErTr1Jm6hLiRIG5MP4YVIdBVhV3NF/nuG0fJOA6qopAIBVhVX8WTaxbTWFo4wcgUQrBxTh3f3H2ItO2wZX7juNjgzSLnuHxrzyG2HmshbTv0jCSRUvIH33yBoKGzor6STz+4gYCh857l8+gcGuEft+5GVQTRgMWWeY08vmI+e862Xv9kM4S3XmrNzxiaEqI28jgBrYzTQ19iJHcaRWgEtQpU5ToxWQF5ZlJ+eZByWunJ7KIm8hg5rx9fTr/iDOnVqCKIrkTwub3Mk7eRx2vP7Wfbd/fQ0zpAT/sA7S3d7P7RQYIRC1VVp5XS1nSVz/7b71DZeGP1cG4Gw32jOPb0bnLf9+lt7efbf/0C27+7h9GB5Iz3YTo0rWokURp7y3oW4wGLT25cw9zSfIZTMpdjVV0VD86bPWnfox3dHOvsvttdnFEkB1P0dw4SSeRDy1JKTu09yxf/6Bu0n7l5Y+dKHN9zhn/57Lf5rf/3I1TNLpuoCSQlyaEUX/9/vs+LX3/1loydK5HL2PzgCy8SiYd413/YfFeNntZTHZO2SSkZ7hvlB194kR/+8ysM943cntf0OnBsl/2vHOXCiTbeuX8Tj3x8MyVVhdc/8DrQVIX7589iWU0FKdvB9fJyKZauURAKEg1MzZ8KGBrRgEltUZy5VykyS/cCeK38+ubVZG2XysT0kRPd+R7vXljOvU0PTPn7pdpaAPXFBfzRY5vATujPAAAgAElEQVTpG03RfLSVi0fb+PDGFbSe68HZ24U/kmPbKyc5d7wNw9C559FlJEqi7Hh2H53ne4nEQ7zzg+vJZWz2vHgEO2MzPJDi3R+/j7KaG7+Xbxs8V8Hz07Qmn0dXwjjeMBGjnsHcUeCyFSylpD+7n8HcERShY6mFFJhLMZQovnRoS/6IImslitDwZJah3HEyXjcBrRzHH6Evu5dR+yxd6e2UBvP1RwR3J3PGdTyO7W6m5fBFADRDY90jSymu/MVLKz194DyvPrtvwrbRwRSjg6lpjshDM7QbChPcCvIhrakNHiklZw9f5J//9Nsc2nEcbwZXnNeDbmo0rWokHL87iqe3AkvX2Dir9ootgiWVZbyjaXLIImQatPT1373O3QHkMjbtLd3Uzc+HOgZ7hnn6vz/LxZOTJ/Gbhe/5HNx2nOf/aStP/dkTBCOXOXx21uEnX32VrU/vJJuaGULp6GCKZ/7uR9QvrGbxpqZrErFnEh3nenByDvpYwoKUkq7zvXz1L/+dnd9/86Y5OrcMmZfJ+Nbnn6etuYtf+4snb5tTKIQgYOhUFtwcpeR0Vx8X+4b4pVWLiFhXxUvVGlCrqZiCN3Y1FNlHZbyKKvP6C0MhBIlQgEQoQIlu0b+/ncH2QYZbB6krijPSO8rW7+xh2aYm2lq62fPTIzzwy2spKk9gBU12/+QQC9bMIpoIcfZoG7/0Ow9QWlOIfoPesku4IwZPJpVluC/JJU+HoihEC8NYwanFAK+Gk3MY6hvFG4vBh6LBuxL/1ZQgDbEP4fjDgKA0uJGgVjVGUp64BLDUQqrDjwJgqgUIoWCpxdRF3k/O68dQY5hqIQ3RD+LJDAXWUgwlhiIMglo5s+MfRRE6uhKhOLCWS+6GstC9qOLOrYBcx2XXCwf4/he2AhAIW9TOq/yFNHg2v381s5bUXH/HqyAUQdEduh+5tE1yaDLvxPN8mg+c40t/8k2OvnZ6CgLqnUWiJMacFQ13bSK6FVz9/r93yXxCxtSS/wXBADWJt4Ky9q0jl7HpbMl7qRzb5aWnX+PIzlMz1r7v+Wx/Zg/LNy9gzSP5MhxSSk7sOcOz//OnpEezM3YugL72AV7411eYtbSWcPzuCC2mhtL0dgxSUV+SN3Yu9PIvn/02r/1gH55z9zlevuez6/l95NI5PvYXT1K/oOquLHST2RzJnE3vSIqvvXaApopiVjdWo44R16WfhNw2pHsCoVZD4Emk/RqgIsz1yOxLoBSAWobM/BCBB+550Jcg3YvI3Evg9QAOIvCBfJHg3HakP4LQFyLMzeOFg8OxAHXzKjj+xll6OwZZ//ASksNpAiGT+nmVNC6sIlEc5eKpTk7tP8fy++ZhBozxsH5xRZx4cRTzFjyFd8Tg2fvSUf7+M18f1ygPhE0+/H+9m/s/sO6GPqgXTnbwt5/6Kt0X8yu09/zm/XzwM+9CqHd2YChCI242TdpuaRPdfkIIwkYdYeom7Rs2aglzeRUaM+dM2iduzp+2D0Gt/CZ6/Dauhdp5ldQ03VqJhjv2EZKSwZ7hCZt836fl4Hn+6Y++wfHdzXfd2AEoriqkYWH19Xd8C2FOyfSu7Fklhfz2fWvvYm9mHk7WofN8D77nc/54Gy/928x5XC5huG+Erd96ncWb5hEIWySH0jz3Ty/R2z4wo+e5hMM7TnJsdzNrHpq+CO1MIpPK0n2+h/K6Yga6hvj6f/keu3944Gdi7FyC63jsfekIiqrwyc99mLK64usfdJv46dFmnt51kKF0lpJomN/cvIaqxBXhaxEEcwtCKUDmduSX3143jMmrSK8jb+Q4RxFKAsx1kPwfgIfMvQpKKUJfBtmfgFqCTP0vhAgjlCJk9segNyHUvKdSURVmLa7mha/sxPN8aueW0981TFF5nIGuYXRLo6A0hu9JsukcQ72jZFK58axCcRuLsjti8Dg5l5GB5LjBMzKQZPu/v8ny++ZTUBa/7mTiuT6jQ6l8G3BDmhi/yHByDjuf20/n+V4WrZ/DovWTjai3MRlCvPUE9iQw2D10+f+lpP1MN1/5i+9ydNfpn0lRJUVVaFrVQCj21g1nTYVLt2qqJ6wpCprx8y026fuSvvZBhnpH2PX8Pi6ebJ+0j6IqaLo6nv3jez5Ozr1ho9n3Jcd2NXPijTMsuXc+u364n4Pbjk8rI6Bqal5cTxEg8yRqx3FveNyO9I+y+4cHWHbf/LvC5ckks3Se62XOiizP/dNWXv3ejYexFFVBVZXLIopjA01Kie/5eK5/y8kEvuez76UjfONzP+CpP3uCRMmd5c6tqKskbJn4UtJQnGBWSeEEWQIhFBBBpAhx+Y0SgI+UPsgcSAf8ATBmg1IOShGgILRaZO5lpHceoTflj/N6wKgCpRChPQriKvXx0jjZjM3KzfNQNZWi8jiPfvReLp7uREpJIGQxd0UdQuS930988h1UNZai6Sr3vGspgRuMFl2Nu8bhOfL6aU68cZb1jy67456aXzSMDKR45u9/TFtzNwLeNnh+niFhsDvv4bmU9vvNz/2AQztO3PCkYQYMIgVhQtEAVtBEt3TUsdpHvufjOC52xiY9miU5nCI1lMa9xopWMzQWb5w3E1d3V9HSO8BAKs2K2spplc5/3tHfOcjx3c3s/P7eCcRaVVepaChh7spGZi2ppbA8gRDQ2z7A4R0nOLb7zLR6OVdjoHOQwztPUtFQysvfep3kUHrSPsFIgLr5lTStaqRmXiWRRBjXcelo6ebQjhOc2neWzA2EwDzP59S+s3Se66V23p3PRM1lbNqaO9n13D5+9C/brqtdZQYMiioLKKxIUNFQQmlNEQVlMQKhALqp4Xs+mVSOwe5hOs5203qqg57Wfvo6Bm/a+HFsl1e+tYvy+hIe/60HMYN3zgCsLUpMqaY8PQSoxWDvBft1cM+AVglaI9I5jECC1wVIEAGQPkKtA7UchInQF+abUQoBBSEulyYZ7k9ydM8ZQlGL2Uvy0RBFVaioL6aifqK3a9m9k79L4dtYmN01gyeXttn67V0s3zJ/AkHubVwf54610dc+SC5r4/5v9t47vK77vPP8/E67vaD33giQYAFIgr2KIlWtZlkuiRPLTuIk62TiPLOzMzu7aTPJzq6fZLNOJpk0O3YsR7ZkNVqyJFMUe++9gACI3nFxcesp+8clAIIAiQsCbM58n0ePiHtPveec33l/7/t9v99HXFvkQWKqWe/9zgBZWGMBTzQc4/3v7GT3W4fvKFYIiaCkuCafmhUVFNfkk1uaSWq2D2+qB6fHjmJTxwKeaDhGcHCEge4Ave39dF7roel8K5ePXaPlQvuk4CczP/W+vHzmGjsuXuVoSxtLCnJv7in4hULrlU6+919+QtvV8Y4zza7y2BfW8PTXNlFcM1m1e9uXN7DnrUP8y5+9fUdhvlGYpsXJT8/jT/dyZu9kjlBOaSbP/9ZW1j6/bFImwrIsnvzKRj747qf8+C9+Om1DAEDblU6uX2qnsCo3kSm6h7BMi33vHePTNw4x2BO47XI2p8aidTUse3wh85aVUVCRg8MzjVOAZREcDHH1VDPHdpxl908O0dHYPaOSdDQcY/vf76CyroQlG+c/oIy0ddNk68Y/hAB1CVgRMHsR9m2glCGktEQAZPYhHE+BnAexg4lAxxrCipxCCDs4Xkh8rl+BG6WsUYwEwoSHI2x8YTn+jPsrgXHPAx5ZljBNE8uC84evcnL3RVY8seihKzU8rLAsi/OHrxIO/tsr61lWwrcmHIlj3LiHRuGwq9iSZOiPDkw9rf10tvQS6A+i2VQati4cK+NYpkU8ligFKJoy5hQ957Cgv2sIy7I48tFp3vmbj4mGpp51SpIgLS+VhWvmseGlFRRV5+HL8GBzaLd9fiRZwuG243DbychPo7KuJOFyHIwSGAjSea2H4zvPcmLnOTqudTPcH2T+qkq8U5hIPuyIxHVyfJ6x1tdfRISHIzSdax372+lx8OI3tvHMrz92WxFNp8fOpldWYXPZ+Nt//wP6Ogam3c+lY9dovdwxoQVdCEH5kmJe/eOXqV1VhTKFLpUQAn+Gl+d/ayvxmM4P/9s7d8wmQkJj6urJFpY9vgjbfRCd62jsvu13ml2lZkUFz339caobyvGmupP2HBNC4ElxsWhdNdXLy9nwUgMffOdTdry+f0ZyEj1t/bzxl+9TUJlLRv4DaB6xwLICYHRi6ZcQcoJHKiQP2B+ftLiwj7ehW+YgltGF0JYlSlxmD2AhJN+U6wLklWaSV5p5T05lOtzzgCcjPxWEoLOph6G+IDvfOEjtqsqHuv31YUJoOMLV0y3EovHb6sb8oiIcjfPRgYucvNRGKBLn5ojn+U0LaagtnnYbhmFy5UQz7/zdDg59dIrh/sQMNCM/lar6krGAJx7T+dm/7KGjsZv1Ly6ncknxPQvKB3sCtF3p5Ed/vn0s23MrHG47q56p58mvbKB6efld+R+NQpIknF4HTq8jIfm/vprQvwtzeu9Fjv38DEs2zZ92NvswojwjlU8uDRLVdWzKL77ChhCCVc/W89LvPDlBjHAqKKpCw7bFNJ25zg//n/emLbfoMZ1A38SXdHp+Kl/+zy+wZMP8aY/N5tDY9svrOPrRac4fujLt8ldPNRMJRe9LwHM7OD12nvzKJl78xrZZ6U8JIbA5NEprC3n1Tz5HZX0p//wnb9DV3JvU+pZpcXrPRfa+c4SnvrrpngieTgujGyv6SYKQ7Hg66dXGApvYYSwuItRloExu/HlYcM9/WdWmsObZpbz+Fz/F0E1O7bnIxaONLNk4f05MAm/FKKEsPBIlMhJFj+mYloUkSag2BYfbjt1puyf7Nk2LaChKKBhJEAdNEyFJKFrCsdjhss3IU8ayLDquddN+bfq09FzB0A1CwxEioejYTE2SBJpdxeG2Y7Nr9zwNPYq9Jxr52b4LrFxYjM/jmGBkl52WnJXIhSONfPub36flYjuqTcWb6iY4ODntrqgyXc29vPePO5FVmeLqvHs2GHc29fDXv/99rp5snvSdkATZRRm89DtPsPb55XjT5t4KQwiBy+ek4YnFLN5QgxDioW5Hvx2WFedz9Ho7/7D3CFuqK3DbJl4vTZZJc//iTKzS81J45mubpg12RmFzaKx6dil73j4yY+0eWZHY8sU11K5O/uWVkuVj1TP1XD5+bdosz/WLHYnM5k2NdqZlMRgJMxSNYmEhC4lctwdVnvsMnsNt46XffZLPfP3xWXFCboXNobHhsytQbQr/4z/8gN726bNrkChtffj93SzdUkt+xX3u1BUCoVYg1MkCnkmsjFBrQK15JObj9zzgiYZi1K6q5PjOc1w40shAd4Ddbx9h3rKyGbnYJgPzhi/K6b2XOLP/Mk3nWunvHCIe07E5NTLzUilfXMSitfOYv6Ic3wxN/0YCYY7vTDgpO1x2Fq2bN/awhIYjnNl/mWM7znDxeBM9rf3EonE0m0pqlo/8imyq6ktYvqWWnJKp03mjRn0D3UP0dQ7R3zXIqd0X6Wq5MVOw4NqZVj7+4b47HmdBRQ4VS4qSfomNBn9dLb0c3XGWU3su0nS+jaHeYSzTwuG2k1mQRmVdMUvW11C9vBRHkk7As8HV632sXFjMK9vqJhnRJhN0hYIRfvT/vk/T+Taql5ay+tl60nNS+Jv/+MNJy0qyxLylpXzwvd1cOtbEyFDongU8gz0Bju04M7kTRkDZwiK+8oefZeG66kQ3jBAMhSKcbupgKBTBZddYWpaPewp340AowpmWTpw2jQWF2dNKxgshJmhjXe8dxKYqZHhdj0TJ+WBTK5e7+3in8zw/OHISv8N+w8w2gaqsdP7vF554gEc4hxCw4sklFM5LnmslhKBoXh41Kypovdw5I1JtQVUuaz6zDJtTwzItujsGSc30oqq3Dz5kRaZqaSmp2X66r99Z9HF4IMhgT4DMgvGIZzAS5u9PHeVEdwc+zYYF/J+rN5Hjnlueh6IpbP78Gp7+2uY5DXZGISsSK5+qY3ggyHf+4MdJ8ZoAms+3se/dY7z8e0/N+TH9TyRwzwOecChGSpaXdc8v5dq5VqKhGEd+fobHPr+KBSvnrtsoFIxw8IOTbP/HnVw+0TyZjd8PPa39nD14hR0/OkDdhvm88JtbKF9UON52OA0Guob4m//4Q3rbBsjIS+E/fefrVNWX0NPWz0/++8d8+uYh+jsnlyh62we4dLyJfe8dJ7swfcqAJxaN894/7OTcgcv0dw3R3x1gsCcwSXdj3/bj7Nt+/I7H+eyvbaKstgBJmz7gEUKgagqn917ktW9t5/S+S5Ok5Ad7h+lo6uHk7gvs/PEhNn62ged+ffM9tyFI8ToJhqJYloWQJQQzIxlfPHqNS8eaKK7J42t/8jJV9SUEB0PY7CrGFIN/fkU2ml2l/Vo3kdvwauYKUwU7xTX5fPVPPjeWdbnpKwzT4q2DZ3l59e35b0JAXyDEpy3XqMxNR5FnFrAJISYFlg8zsr1uHptXNqXSMkCG+/6I290PeFLcLFpXg8M9PtGIGjqSAFVSsCyLiBHHodyS5bKrLFwzjz1vHZ6y+2oqyIrMwjXzKKjKQQiBYRjs++gswaEQtctLKa3OxemyTXIAF0KQX5GdVMCjxw26mnuprBv3SgzGY0hCsDa/mMeKy/i46QrmHGtSCQGVdSW88Ntb7xlvTYhERnzT51bRePo6H3z306R0f/SYzoGfHmfLl9aQknl3htyjGBmOTJtlg8TE0emyodwIZE3TJBSMYpoWmk3BfodJXygYJR7TUTQZxwyqJpZl0Rvr40DfEVRJYUXqUvza/REJvfcZnnAMIQQrnljMJz86yOUTzQz0DLPzjUNU1pWg3ZD8ng1CwQjb/2Enb/71hwz0BMaI5jaHhtvvRFFkotE4wYER9LjBcP8Iu98+wvVLHfzq//EC9Zvmz7hVPhbRGewdpqdtgH/+r2+x680jCZ4NiTKeZlMTJa5wFNNIHJA/w0Ne+dQy3HrcYO97xzi7//Ld/xB3AwHXzrXy3t9/QuPZVizTQrUpePwuVJuCHjMYHhgZO7eetn7e+puPMQ2TV7751D2ZIY2isiiDv/vJfkzLpLwwA7uqjPGYSvPSyZomQ9d0tpWRQJh1zy9LOENPk/HypLhQFJnhwZGkBou5RFZBOr/8v79A7Zp5kwIar9POsop8dpy6wvLKAlx2jZhu0NTVTyAUweO0U5qVisdhp7ogiwtt4yXQ/uEQLb2DGIZJQbofu6bSPTRMNK6jKQqGaVKSlcpQKEJnf4CizETrqmVZDEeiNHcNEInr5KX5yEnxPFSZn7qCXBbn3z79/zAd62yRkZdKyYKJqrz7e67iVR3UpRUSM3Vebz7Cl8tWTVq3sq4Ep9eRdMDj8jpYtL5mbGyWZInNz9XR0dLHif1X+Plbx6heXEjt8lJyi9MnEPxTMn03tNYmUO4mwTRM+jsnlntUSSbFbkcWEie6OugJjcx5wOPwOHjiVzeQU5p5z+8Pp8fBU69u5PSeC0mXFFsutnHi0/NseLFhVtSBb//R25w7PrlkfitSMzx87d8/Sc2SRHv4QG+Qb//h23S29vP4C/U8/+U1t133n//yIw58cp5FK8p49Zvb8CbJyzUxuTB8GZtkY1nqEtzK/WuYuOcBjx7TMXSDnOJcVjyxmGtnW9HjBsd3nqPx9HWq6ktmdePpcYPdbx3hR3/5wZhQod1lo25jDUs3LyC7KB3VphIORmi93MmBD05y9sBlDN2k8cx1/umP38Sb5p4xSTUWjScyRvsvs/ONQ1gmlC8qZPH6anJLs3B57BiGyWBPgKZzbZw7dJWqJcW3LaMpiszKJxdTUjMxZd3R1MPxnefH0tGVS4qprCu+47EtWFmJSLLTIBaO8ea3P+T65c7EbHB1FcsfryWnNBOH00Y0Eqe9sZvdbx/h9N6LWFbCa+ej1/Yxv6GcFU8uvmcDx/WuQSQhOHz2OofPTnTU/dKT9dMGPMGhEJZlkZbjT4oIKCAxBbypGj3aYiqEmNBuOpfnbHNqPPGVDTQ8sXhspjUdLrf38vHJy2T53aS4nRSk+1CnIDb3BEa40tFHKBLj4KUWVleX8OGJSyRmBQJZEjxZPw9NkXn70DnWVBezZUkl0ZjOT49cIBCKkuJ2oKkK2Smeh6pOL4RAvtMRPUwHO0tk5KeSVTSuUdIU7OXMYBsuxUbc0hmOR+gMT02AT8tNIS0nhe6W5LzFPGlu5i0tnfCZza4mJgEW5BalERyO8OEbR1j/1CLK54+PWZIskVmQhqTId8xqmIbJQPfENvFUh4PHSyowTJMdzY3UZeeR7pjbCVVVfSlLH6u9b5y1gspcHvv8ar77x2+OWSXdCcP9Ixz/5AwN2xbNSr5loHeY7vZBhEgoE9/pUYjHxo9Ljxt0tQ/Q1tzL0MCdA+ShgRG62gYY6gsmTI+jvbSG2umLDRAzo6xNX4UkBMcGTjEQH6DcXUalu4zjg6c52n8Cm6ThlB00pNXTHu7k+OApFCGz2F9LmpbK1ZFrDMYCdEe7KXQW4FKctIbakYTAxMKneFjgm48qJR/G3Hs6uGURi+oIIVjzbD2f/PggrZc76WjqZe+7xyiuyUvaY2sqXDvbyut/8f5YsJOS6eVz/+5JNr7UgCfVNeHGrt80n9XP1PHu33/CT7/zKaHhCE3n2nj9z9/nN//bF0jNTr5EE4vE+OgHe+ltH8Djd/HM1zax4YXlpOX40ezj/j6maRIORhjsHkZWEt0yU0G1KTzz6sZJdfZ9Pz3OqT0Xxz5fsqGGV37vyTsem6LKSacX9bjB9cudOFw2XvrGVp78lfX40jwIaVyleMn6apZsqOY7f/IT9r13HNMwGR4IsuvtI9RvXoBmn32WbipsXFbBitt0YnmSIG7anTaEJIiMJFK00/0m3W0J3pUvzY2qJYKHqKnTGwmS6/RjYdEeGiLD7sYuz905L1pXzZYvrEGZgRGe32VHlWUEgvw035TETtOy6BkK0j88gmFanG/tZlV1MbmpHtx2G5ZlYZgWA8EwK+cVMb8ga8xbJxiJ0tjZz6tblpPhc2FZ1kNX7tp7tZnj128/c872eni5vvY+HtG9gaLK5JVnTwjaddNkMBaiLxrEtEwUSeKJvKnPVVYS658/OH33FEDRvFzcKePlQNMweef7+8CyWLK6nNyidOwOjaO7L9LTOTQh4AFIy/Ejy9KdAx7TnCSMGNF1TnR1UJGSxguVNXg0G/IcBiaKKrPmM0vxpt2/jIJqU1i2dRE7Xt9P09nW6VcAzuy7RF/HIA63fdYTqxWbanjul1djd0w9XimqTHbeTAQJb4/B2BAH+4+wKXMdDtmBJql80rMb3dRJ01LZ23uAVC2FElchLaHreBQ387yV6JbBJ927qU9ZRMyMsbt3P5sz13MukNCEqk9ZjFN2cj5wgZARoivaQ74jl8aRJkpcxfi15Mt/9zzgsWCME5JdlM7655fx2re2Yxomu946zKaXV1AyP//OG7ndti2Ln31/95gol6zKPPWVDTzx5XVTEk5lRSarMJ1XvvkU/V1D7Hj9AKZhcvjj0xz95CybXl6BkmT7r6GbXDrehNPr4Ff+03M88eV1Y468N0OSJFxeJy7vnWcqo62Nt2JCyU+QqJe655YwLMkSGz7bwHO/sWVKIrkkS+SXZ/Pibz3OlRPNdDb3YhoWLRfa6W7tI788e06PZxQepw3PLcGwZVkMBSOEIzEc05RDc8sysdk1rp6+TqBvGH/G7Tu79LjOwQ9OEQqEqV5aOja76g4P81bLSb4+bx0CeLvlJJ8pXESBa24GCbffybYvryc1e2Y17BS3ky9tWMK56138cPcJfvupVWT5J2a8YnGdHaeu8rm1i5CE4GpnH1igKQqyJCFLgmhcn1LgeXSiEIxESfM4MUwT6SGz6rg+MMSRlpvsFiwIxeNcHxjCoSq8sHj6dupHAYqqTCqFl3sz+VzxMuyySoHrztotkiQmkIOnQ8mCwgkyCEKSWP/kQjJyJtoCLVhWOiUXzpfhnVbLxjStSeakiiQRNw3evXoBTZKpTE1neU4+aXOU5ckty6J6efmMJhazhRCCouo8Fqyq4vrFjqSyPO1Xumg+10p+xezHVV+Kk/LqHJxz/M64HTJt6ZS4ilAllagRpXmkFZfixMKiyFWAImR8qhev4sGn+Ui3pdId6UG3dCo95QT1IBeGLxOIB7BJGrmOHAqdifhAFgpZ9kxCRphCZz7nhi5gWDOjHtyXK28aiYPS7Amxt11vJfgzPW0D7HnnKEXVuXeVYmxv7Obkrgtjf5cuKGD988umzTi4vA62/fJaju04y2DvMLFInE/fPETD1oUz7txatqWWDS81TBnsPCrILkpn6xfX4JxGi6V8URH5Fdl0tvSClZAI720fuGcBz1QwLYsj51owDIutq+7cMju/oZyCymxO7r7Az76/h82fWwlivExlmRaxSJxAf5CDH5zkox/sTeiXbF04phMlhMAiQQgVgG7dnXfOlBCwYHUV81dW3vEF0TkwzLuHztExEOB7nxzl82sX0zcc4sMTl4jFDSpy0nHaNE41dbDj1BWu9w7y5v4zPL6kktqibLYfOU+q20luqhebquBx2LCpCrIkUGUZTZZ5/+gFTjV1YFMVLAQrqgpZv6CUdw6dAwsaqgpoqCxEfogCnqcXVLGxcrz0YmGhGybX+vr5/qETVGamP8CjmzvIikRG/uSAJc+ZQlOwl73dV7AsC6/mYGHK5MmjkCVSMpOTcQDIK8uawMsxDZO9PzvD019cOSHL5LrNeOHyOqfNplqmRXgkkmhIuHFPuVSNZ8uraQkMsr/9OtuvXmRnyzXW5BexuagMpzqLMfZGU0DOAxC8kxWZpY/VsuuNg2OViDvBsixO7bnAqmfqHzkbJkmMB8qqpJLvzMUp26nxVhMzY/hVPxYTx1Cv6kEWMleD14iZiWYRj+pBILi5GJewM7thIHqX9er7EotV57sAACAASURBVPCMviOEEJQsKKBuYw0d17rR4wb7th9n8ysryb1Nq/adcPbAZfo6E0aMsiJRvayU3CTJaIWVOcxbVsaB908A0Hj6Oq1XumYU8KiawtrP1D/SIoqjM5Cy2oJpfzdVU8gpyUSSxi0Mbp2lzRbhaJyRSIw0n4vASITgLd12hmHS2NZHun/6tLQv3cOzX9vEf/8Pr/Hat7Zzas9FSubnEwpEQMDONw9hGibnD13l/JFG4lGdNc/W0bBt0VgA4lMduBQb371yAAtwyho+dW5mS063nWVbFuJLv/M9l+lz8aWNdXxh/RIkIbCpCn63g1fTl2NhocgyqixRU5BJRU46Fonyk6YoPL28Gl03x15AiixRnpM2pmmUYPIIDNNk/YLSsWVUWWZFVSF1ZXlYloUqyw9dScvrsON1TL4W+Sk+LnT18umVa2yb/+j7zsmKTHru5Izi6YFWPuo4R5bdiyxJZNm9UwY8khC4U5Ir48iqTHpe6gTCrGVZBANhDMMkmZDD4bYn5Wgdj8SxTGvspT4Sj7GjuZGmoUFssszXlzTgVjW+c+YYFSlpzEu7e1dxm0OjfHHxnGfHk0VlfQnpealJBTwAV040o8d1tBl2Wj5IeFUPRc6CMWkIIQRr01dybOAke3r3k25LI9ueiSQkch05OJVEFt0m2ViXsYoTg6dRhMyqtAa8iod8Zx5+dbxclWnLQBEKFiZe1UuRqxCbPDM6zH3K7Y0nzVVNYeOLDezffpzu1n7arnax951jPP+bj80o1ajHdZrPt49ZLthddioXFyelSCuEwJPqprS2gIM/O3ljthHl8vEm5jeUJ30MWYXp5JdlP5KibaOQVZmy2oKkM1Qur2MsMNLjOvFocs7DyeJiUzcfHrzIb7y0mu17zrHvxDUUZfz3tSyLrr5hXtlWP+22RrsDY5E4P/72h5zae5GjO86Off/9P3tnbDmHx876F5bxyu89OaEl1KPaeK5wEZcDCXn6Uk8G7jkKeFIyfdRtXjBtoClJEo5JEgMCh23iZ4oso9zC5ZGQJ/F7pkomTaXZIwsxxX4fDWiyTF8w/KAPY06g2VXc/skt9oOxEKszy1mXVYksbn+dhEi0HicDb6obp2cid0SSBKpN4Qff/pis/EQwVL+mkqzbcD9sdpVkYmPTtDAMc2xyETcMoobB1pJySnwpyJJEzNDZXFSGzza7Z87hslO2qOiBlWSdHgeV9SU0nm5Javm+jgG6WvooqLzPIoSzQJY9kyz7eOJCIPCqHjZkTu70mu8bz84LISh05o+VrkZR66uZ8HeZOyFhUOQqACDbPvMkyQPRYy+cl8vyxxfy3j/uJBaJs/udI6x+po6ckoykb8iRQJjOlt6x8oTNrpJTkvwMQJYlsgrSsDtthIMR4tE4rVe6pl/xJmTkpeDyPdpGqLIskVM8s99tFJaVGLTmEsW5qTy3oRanXaNnIMjyBUUsuKlkZhgmu483Jr09za6y4aUGSmsL2PvOMc4faWSob5hYOI6QBA6XjazCNBq2LqL+sQX4b8nwCSFIt7tJtydmyGcH2nEp6pwEPaW1hTPm7vxPjKNjaJjekYmdJJZl0RscYeelRgpSfjF+W0+Ke8ruvVSbi487zhHSY7gUGz7VwZK0wskbEKDZk8sUeFPdk7iEQggq5ucRGAglJpSCO3IdZU0hmYjHNM0JTRqGZRE3DMK6TljX6RgJcLC9lRy3Z/YBj8f+QIMH1aZSVVfKB9/5NKnlQ4EwzedbZ33M3e2DHN59CdsUNA8BpGf7KKvOndU+HiU8kIDH4bKx5tl69m4/zkDXEFdOtnBi13myi9IT6U0xfY0uFokzEhifwSmqfEdS6lTwprrR7ImWdUNPtJAbhpm0caTDbUe1PdoePkISU84eHxT8HgepN46nINPPwspcKovGI3nDMOnqT7RBJoNRYcWy2kJKFxQQCoTp6xoiMhJFkhIWC6Nt6zcH2zFDJ2LEscsqbaHBsRzlh+3n+Wxx3ZwEPNUN95dAOQrdTHDqZJGc4ObDindPX+AnJ85O+MwiQbTO8rp5fnHN1Cs+YnD7nVOOSak2N3nOFLrCASQhyLR7WMIUAQ8kbYjp9DomZXuFJFi8qgJDNxKCmULcUXFZkpJjWCQmTOPP8XAsyvvXLtEVCnLV66M9OEyOy8OJrg7K/KmU+u/eWDMtJwVPyoMb52RFIrskE7vLNklMdipEQlE6m3omcJzuBsf2XeHYvqm784QQbHpmMb//Z5+96+0/anggb2shCcoXF1G/aT47/nU/pmGy418PsOqpJfgzvEiSNO0Dqsd0IqHxG0dI0oytAGwObUIJLBaNo8d05CS3I6vyI13OgtHusIeTcL1tdTW2W/RzJEmwbH5h0gHPzRj1kHIlIZY4EAvRMtJPjsPHn5/bQZ4zUea6ONTFC0WLZ7zvWyHJEkXVeciKREe4h6H4CEzRL6UIhUJXNpo0d9fojdaP6Y8F+KWip3Crjy7/bG15Efn+iZMcIQReu43CVD85vrm1JHhQcLjtU+pq5Tp8lHsy0S2T+rQi+qNTWxgIIRKcHMFUt9gEOKeYxJmmxUdvHuHAz88lxmULvvBbmye1o48iaZ9Cy5pwPIoksTgzh60l5fz06iVCepwnSioIxKJEdP3220kC2UXpSQd99wJCCHzpHtJzU2m93DHt8rFonO7rfZiGOSvjYF+Ki4wc35TvKSEJsgvmptv0UcEDS0+4fU42vLicIx+fYbAnwLVzrRz82Uke/+IaJFlCVqZva7xZ50GIGTxoo+tIYmLm1bLuqA46af1Hd3I8AckQDB8E3FPoMwkhyEmfWSbvbpDl8JLl8NIXCfJc4SI25VQB8Pq1o9jk2T82KZk+/JkJ3aft7XvY23sS0zIJGxGiZhyv6kJCIkXz8r/V/CpZ9uTbiqdDfyxAb3QQYy47zh4AqrMzqc6+/1039xsOt33KF9apwVZ2dV3CAub7c/lJyzG+Uf3YrPZlc9omZR1Nw6TlchdL11ZRXJVN8+WuCSKck3F3A6NL1VAkiTcvncO0LELxOJ+0XKM9GGBNftFdbXMUGQVpSWfu7xXcfiep2b6kAh4s6O8cJDQcxpMk4XwqNGycx6vffAKHa4pJvOCha0S413ig9Zj5DeXMX1HO3nePMTIcZvfbR6nfvABZkZCnUZyVFWlC6jVh4zAz/6NYJI6hjw/6iqokrXR7N7AsC8sKYJp9SFIGQrgBC8scxLSGkKQsJOnRnXHPNfoGR7BpyoTAxzQtAiNhVEXBdSMTF4/p9LT1TzMIJw8hBBl5qaiagt/mZGXGeOvzY7nz8MxBOSsly4vDnTiv5/I38lh2A6Zl8VHXAU4MXOTV0udIt/mRhUzqDIS1/i2hezhIIBKlOC0F5aaAIG4YXO3px23XyPc/+r+d5tCmnMwNRENU+bJpDvYhIeZEMkG1qVNONp0eO3anRl93gEgoRiiJssxM4bPZeXneArpGRki1O9BNkyuDfVSnZVDgmd119Gd4EZLESDTGG4fP0BMIsml+OUuKchkMhTnR1MGKigLsM2h9Ny2LaFxHVeQJ99/t4PQ4ZuTfFegLEg5GZhXwSJJAUaWklOaBCXQS6w7pwLkaa+83HmjAY3fa2Py5lRz5+RmioRhnD1zh3MErFM3Lm5bbYLNreG5qBzd0g+HBEDOheI0EQuixRKpUkkSiVj5NZul2sCwT0+xHCA1Jul0GwkLXrxIc/muczpex2bcAOnH9PCPBf8Dl/nVstoa72v8vIl774Bi15dmsX1ox9lksrvPWJ6cpyPKzuSGRdelq7uU/vfQX6PHZpb1HoagK/+WN3yW/PJuQHqNlZID5/sSd1R0ZRpMUVGl2gbEnxY3tBpE03eYn3ebHsExSVA+apJLnyCTHMa4jMxgb5szQFcrdBWTf+Dxu6pwPXMO0TOb7ylAlhe5IP43BNub7SmkL99Aa6kISEqXuPAqc2VN28xiWyenBKwT0IHUp83DJCSL+UDzIpeFmBuPDOGQ7lZ5CMm0JHkVnpI9zgUaWptTg08YH5BE9zMG+M5S7CyhwTu0bN1fYfaWJD89f4VsvPoHbNh4UWxb85OQ5JAH/6+PrJ603OpDfrZbH/YZqU6bkcRS6UtnReYELQ518v/EAJe7Z6w6pmjyp9CMrMmu21qLZVXa+exwQ5BfPvcZRzDA409PFpf6+hNyCJPFi1QJS7Y5ZXylvqgdJEnT0DdPWP8Q3tq7GpiTeMT6HnTVVRTNWdR6Jxth7qZm64lwyvdMHJQ63Dc8MAp5QIDzjSfxsIQmBrEpYZmIieTuYhjn2vaLeG8mKvkCIjr4AVQUZU9rm3A0eaMAjJMG8paUsWl3FoY9OEw5G+ORHB3nl9568IykOEuS6m7UpYpE4nc09VC4pTmrflmnR09pP+MZMRdGUBGn6Li5cItjpIxL+KYpagapWI0l+LEvHNAOAiSS5EcKBptWhaUtvDLkWQmjYbKuJRvfNeL+/qDBNC9Myiek6cd1Ev0mdNKYbDI9ECd3UDj9q33HrAypEIlsTi8bH1L5lRUbRxq03TMMiHtMxDfMGx8eBzaEhhEA3DTpCQ+zsuEixOxXLgo/aL/Bc4SLc6t3bocDU5NA7oTvSzw9bPuTzhVvHAp6YGWdH1yF0y6DMXYAqKbSMdPCDlvdpSF1A00g7JhaB+AgbMpeS78iaVG2Imzr7e0/xbvsuVqUvRCYx6LeFe/hhywd0RvpwyQ6Cegiv6uKLRU9S5s4nEB/hrdZP0C2Dx7NWjD03FwLXeK3lA75e9tI9D3jaBofx2W24tFscwhWZXJ+Hw81tEz5vD18hRc3CwKAzfI1yz5J7enxzBVVTpjSSLPNkEtSj+FQHPtXB0vTiWe9LkicT2YWAjGwfLq+Dl39tI9FIbE5Mn29FXzjE7tZmNhWVYpcVJCFwKeqcvExdPgeXunp549AZLnT08L09x3hmSTV2TeX9kxeJGwYvNyzEZdM439bNufZuBkfCSJLEKysWcr1viB3nrhDVDZYU5bK8LJ/3jl/gZ6cucbK5nbriPB5bUH7H94esyAlZD0kkyN/TYGQ4TDQ8t7If00FWZNweO4ZhMNgbRI8bU1Y9AkNhgjeahjw+xz2pjLT3DbHrVCMlOam/GAEPJBzE1z63lHOHrhIcCnHu4BUuHr2GMk0KTrOrFM7LxebQiIZjREJRrp1tZc2z9UkRiUPDYVoujUt92xwaJfML7vIsdGKxA0QiP0WOF6Nr13C5Pk80upt47CSWFUNRinA4n0eImb8oJ8xEH81M4oxwvWuAExfbuHq9l0g0zuBNeipDw2EuNHXRUDte00/J8vHqH740icgsCUEwEOajH+yl+3ofZQsLKanJJ7MgFYfbjmVBcDBEe2MXl080093ax5O/sp5tv7SWrMI0OiPD7Oq6wsmBVl5rPIxumoT0KPY54PBoNhXpLrOJ06Et1E2ns49fKn6aFM1DzNRRJWVCdkcgMDDY33uKd9o/ZXX6Yp7MWY0mqeiWwU879tAXHeLXyl4g257OcHyEv7ryOu+17+Krpc9T5Mqm1J3Pkf5zrMuowyHbMC2Tw/3nyHdkUeLOu+cdYIZpYlOmzn6osoxuTJSdj5sxzgX2Y1hx8pyPjiChospT0mJaRvo4PdBK3DQY0WMc7m3iM4WzI9QLaXLAo+sG2187wMu/vhFFlTm86xpev5P59cWz2tetkIQgy+VmcWYOXs02Z/fPqG1PSUYqG+eXISTByw0L8ThsCAT1JXn85MhZ4roBNugNjnC6pZOvbliGqsjYFIULHT2AYEN1Kdk+N5qisKw0nytdfTy9pJqi9OklEBJ6Xw5kRR6rLNwJ4WCEWOT+ZnjsTo2cwjSO779K67VeOlv7yb9F7sWyLK43dtNxvR9JEuQWpk/Z9n4rAiMRLrf1YpoWxdkp+Fx2Lrf1AjASiVGWk0aKx0F73zBtvUP0DAbnPAv7wAMeSZJY/vhCPvyXvZzed4nhgRF2v3N02htCCMGClRX4Mzx0tfQRj+qcP9zIQFdgWhNQy7Lobu3n3E1meum5KZTV3l3Ak8jSbECPX8Rm34qm1WKZIUIjryErOYBMNLoHm20tsjJ1Z8PtICty4sUYBSySelAedUhCEI7EGR6J0twxQPSmc3bYNZ5et4AF5ePFS4/fxdYvTRa30uM6//iHb9DfOcTLv/skWz6/asp7w9ANWi528P3/6x0O/uwUdRtryCnOIE1zMd+fw0AsxMKUfCQhyHH4SLXNvr1VuYcdfnFLZ3X6YvKdWbedHctC4lj/Bd7v2MeajMU8kbMK2w1V157IAJeGm6n1lVPgTGggpdp81PhK2dtzgt7YIMWuXBrSFvCvLR9yebiFWl85PdFBGoNtrEivxa/e+w6pHJ+bk20ddA0HyXC7xobGYDTGpa5eUl2JknfYCHJ2aC+6FaMtdBlFqLiVFPIcFbff+EOEhNv15OvYER5CEoKVGYlyplOZfdZFupEVHcXIcITLZ1ppvNDBkV0JE+NzR5tYtr5q1vuavG/BmZ4u/mDPDvx2O6ok87VFS8lwzu55UzQZWZETtip2Gw5VIdU9Tofw2G0TLFOEEBSm+8lPG+cNLS/N53BjK/svt1CWmcqW2gpcNg27quB32nHbk5vIOt12ZFkimVE8FoknHOpnAWv0v2k4N6PX3O7QmLewgJ3bT9J8pYuP3z7Oi7+yBpfHjpAEpmkx2Bfko58co7dziIxsH1UL86ftJDMtiw8OX8CyQDdMTlxtZ+uyKv5u+0HWLyplaCTCuaYuti2fxxu7TpGX7qVnaITQHAd8DzzgAfCmudnw4nIuHE3I+1861oSUhIdI0bw85jeU09XSB8ClY9c48vMzbP7cijtygGKROHveOUpXcyK6FJKgYduiaSX+p0PiljJu/NtACBsO+1NIcqKTRJJnLo1ud2rYHdqYdkPX9T5M03zk2+HvhPwsPy89tohYXCcvy8+ymnFtEUkW2DV1SmXgW3HpeBN73zvOwjVVbPulNfjSPVMGwrIiU1yTx/O/uYU//crf8uG/7KWsthBPiou6tELKPBlk2OfWYXlSh+AcwiU7SNE8dywFNIc66Ij0IhAsTqnCJo2XhYbiQQLxEXb3HOdsYFzkMRgPIQtprLurxluKS3FwbOACVZ4izg5dJWbFqU+pvi/6PitKCnn39EX+9IOdPLOwmnSXk1Aszu4rTRxous43NyeCYFXYKHHVEjejlLoWETFGcCqPTsu6JMSUGR6bpHB1uIe+6AiSEOQ6/BTPAY/nZghJjJGUmy8nhFnLqnMpmTf3In4pdge/U7+K+A2dKN00cauzt1ZQFPm2HbyDoTDXuvvpD4Zp7OmnSkmM0fItyw+FIuT4Peimybm2brbUVqApMhKC8+09AOSlTk+sVm5TnpwKhm5MEGa8G/R3Bzh9+NptMzCqplBUnonnhlSHJAnqVlWwoL6EI7sv8t5rB+i43seytVV4U5wM9AbZ+9FZTh1qRFEVVm6uoap2evPvUCTG7tPXyE/3I0lg11TCkRguu8bj9ZV0D47wxu5TtHQPEI3rfGb1Ak5cbWfP6WuzOv9b8VAEPEIIlj62gOLv5XH5RHPSRC1Fldn6S2s5uuMsQ31BQsMRfvLXH5FVmM6itVVTDrp63ODA+yf44Hu7x1SC88uzWPNs3bSmo3c+BxVZSicc+gmG3oLD+Qw22xoikZ8jJB+KXIDsyCUS/hmx2BEk4xpC2NG0hUQju26UvkKAQNOWIETiWPwZXvwZXgZ7hwG4fKKZ65c6KZr3i6uOKYRAUWQ2LqvAblPx3qX/zaVjTQz3BylZkH/bYOfmfRaUZ+NL93Bm/2WGB0fGhMrODrZzeqAd0zLxqHZeKq7Dp82FwvYMgoKbvK9GYVoWMTM+5l0zCklIkz67FYZpsipjEUcGzvFW6ye8WvocXjVxvrKQ0CSFed4SlqZOFO/ThEKWPUFcditOVqYt5IPOfazPqOPU4CWKnblk2++PaWdRqp/fWLuc/7HnEL//xvtAgs9VkOrjS8sXs7osUfZUJJU0Wy5Xh4/jVdPpijbj1N2k26YfqB8G3O4FGTV1Stzp1PhyUSRpzixPbobTZWPZhnk43TYWNpTN+fZvhibLVKWN3zu7rl8jpMdxzMY0FBLPzo1nP8vnZlXFeDl8cCRCz/AI1XmZtPUHyE/1UZTmx3tLxiYcj3OxowdFlnm6LmGL4Hfa2bygjPNt3XjsWlIBj6zIyQc88dkHPId3XeLwrku3/T49y8s3//SzLF4xfm3Tsrx84Tc3Eo/pnDzUyK73T7Pr/dMT1rM7NDY/u5gXfnVtUvp3iiyR4XPx2Q0LKcpKIRSJE4npaIqMy2FDHg4lRGJlibhuEIrGGQnHiBuzy3BNOo453doskJrtZ+NnV9B8oZ1YJHmiVlV9Cc/9xmP86C8/IDQcoflCO3/1+9/n8S+uZumWWjx+F5IsYcQNBrqH2PveMT5+bT99XQnTUV+am8/8+mMUzZst58CGw/kchtGOEE5A4HA8i260ATEk4QcUFLUGj+d3QQgkkYIQDlRtIV6lBISMJKUB4+nB7OIMiufn0XKxHdO06Gzu4e/+8+u89I1t5JVmoqhyQrHUMG94W+l4U91409yPtIouQEaKm5huEBiZbFBq1xS0aTr5gkMh4jEj6bBiNO07PDgylkruiwY50tvMiBGjxpdDU7CPmHn/y4p2yYZhGQzFg5hWgmA9FA9yPdRFkWvms+18ZyaPZ6+gylvEd6+9y7vtu3gpfzM2WSPTlkqa5seyLBb5K7FLCRK3YZnopoEmJX53WUgs8JXxQec+Dvaf4eJwM18ufmbWHWzJQgjBqtJCKjLT6AwEGY5EsSsKGR4XOT7PWBfOKAbiXQzrA7hlHwG9774c471EntNPe2iQ9vAgQgjSbC6qfXOfeZEkQXZ+KrvfP8X8pSUIkXjhOZL055oOwViMgUiYVIeDQx2tY59/1HSVQq+fNMdcSHUknu1Mr3tCR1VxRgrFGZPF9wrSJnJyFhflsrho4iRTlqQpP78TZCV5dXPDMO/auicrL4Wi8tGmgYRF8FT/T0n3YHdODlgq5ufxu3/8Asf3X+HUoUY6rvcTi+q4PHaKK7KoW1VOTV0Rbm9yEz+bqvDUihre238e3TCpLspk+bxCMm+03KuyTLrXRV66n+qiLP7x/UO47BrFWSlz2gH20AQ8iirTsHUhn/zoAJdPNCe9ns2h8czXNjE8GGL7P+0kGopx/XIn//RHb/LmX31EdkkGdodGMBCm41o3I4HwGEPe7rLx9Ksb2fL5VcnrFNwGQgiE8CNJ4w+KkJyo0kSegKIUAAW3fFZ82+06XDY2v7ySs/sv09M2gKGbHPn5Gc4fbiS/PAu334lpWERGogwPjjDUO8znf/8pPvNrm2el0Pkw4OeHLnHg9OR7QQh4dv0CltZMLaM/CrfPiRDQeKaVQH8QX9qdyxjNF9rp7xzE7XWOeQXppolD0Ui1uViVWUpvNEjEuP8BT5rNR7rNz47uw9hlDZukcqT/HEE9NP3KU0ASErKQWeiv5Pn8Tbx+/SPSNT+bspbhU91syKznjdYdvNb8AVXeYiQE3dF+3IqTdRl1qCJBFs51ZLDQV8HOriP4NDcl7tz72u4tSxLZXg9Znoklx6leKum2fIbjAxS55tMZSd6P7WGFhMTarApyHD50y+T8YBKCdncBwzDZ8c5xLpxsISPHT/OVLnIL06hdXjr9ykkgauj0RUJYWLx+4QyLMxO8sd7QyJzovZim9dA0e5imSbLqtomy9909S9/4g+eS241gynZ8SZLIyPGx5fl6HvtM3fh1uMHxkmZ4bEII6iryWFSWS6I7WSAJwa89vQKA7FQPX9pShyQEz61egGlZY4m5uZy4PzQBjxCC7OIMGrYtmlGWRwiB2+fks7+zDW+qi/e/u5ve9n4M3WSgJ8BAT2DSOooqk1WYzjNf3cjmV1bOqpR1ryGEYOGaKl787a38+P/7GX2dg1imxchQiItHp65vmvqjraA7irxMP4urxoOLaEznwrUuhoMR0nzTExnLFxXhT/dw7JNzvP23P2frF9fgTXejasoYB8rQDSLhGC0XOvjht7YzPBBi1VOLx0xhPaqdGn8OcdPg7y7txSYrOOR7d784FTspmneSXo5DtvH5om283bqT7e27ccp2FvjLybClEDTCY7MgTVZJt/lRxO2DXY/iJG7qCc0NIbEirZa+6CCfdB+m3JNPqSuflemL0CSV3b3HOd96DUkIfKqbjZnLJpTLbLJGXco89vWdZJ2/jjTNf98yi5ZlMRSJcqyljVNtnaiyzPOLasjwuGgfGsbvsONzjJd5PEoqI/oQl4aP4JSnDn4tw7qj4NrDgqgR5+TAdXxaoiU9bMTZ0XmBRal322l6e1imRWgkSk1d8Rjv7GapiNkizeEkzeEkEI3w1YX11GcnGju2X72Icw44POZNmZIj/Wc50HcaRZLxKi62Zq8izXb/TGZN3UxazV9R5Cm5rDEzztVgG4f6ztEe6UUAqZqPhrQaarwliY7MOZjsJibxJJjscwAhBMot5zNKFhdC3PRvkO7RpOmeBDyZBWms/cxSsBJRarKmnrIssfHFBnrbBiYYg5bU5E/r4+BP9/D817dQvayMT358kMvHm+hpH2BkKIxpmCiagsfvJCMvlaqlJWx8qYHyhYUJElmSA7TDbadh60ICfQnPmnlLy2adGUoGml1l2y+vJackg49/uJ9rZ1sZ6B4iEophGRaKJmNzaLj9LlIyPGTdQU9IliVKawsT1wfQHCr+GZC1i+blsuYz9Zi6iWZXyMy/e0O/6VBbkTPBKd2yYCAQ4rvvHqarf5iSvDvbLVTVFbPiicVs/6edvPlXH3Lk4zPMX1FBdlE6Do8d0zAZ7h+h8WwrZw9cpq99gLRcP5tfWYXnhoGpV7OzMqMUIWC+Pwe7rM5Jl9ZUkBA8ltXA+ox6nMrEGK8ZxgAAIABJREFUVLEQgnmeYooqP49u6gghYZc0TCwMy8AhJ17s1d5S/qj262PigVPhhfzNWFg45ERJQpNUns5dx6as5bhu7NcmqaxIr2VxSlXCbFSAImRskjZhMLKwMDDxqx7qU6pnLN42G4zEYvzt7oN8fOEqTk3FMC3WV5Tgsdv4p31HKUlP4csr6saWvxo8jiwU4mYM3Zp6QqXrxozsZR4ULgx1cqSvCUkIrg53EzV0UrV7dF9KgoxsP2eOXiMWiROL6VQvmZ3Vw1TwaDbmp2fSHwljmCaLM3NIsc+eK2fo5lhWfygepNiVw5r0OiQh4VLmnvd0J+hxIykNHkiUv25tTjEtk0+6j/Gjlp+TavNR4Ew0xLSFu7kQcFHlKUR9ePIYDx3uyS+zYGUFC1beXctnXnkWv/uXX57xeqNaCwvXVFG9vIzOpl66WnoJDoYwDANVU/GmusgqSiczP+2uhJLScvz8L9/6pRmvN1sIIbA7bSx/fCG1qyppvdJFf+cg4ZEopmGi2lRsDg1fqpvUbB8pmd7bEuNUm8rjX1jN419YfVfHsu75Zax7ftlsTidp3PrytCwLl0NDU2V6B6Y2SrwZqk3lpW9sRY8b7HnnKFdOtXDpeNOUyyqqTH5FNi99Yyt1G2rG1Gb7oyEO9TaxLbeGfNe9NdoTQmCXbdjlKTzESKSQXcrkF4BlRRkJv0MsfgmnfRM+Wz2GGSAUOYbd1oAkJq7jVOxYlk4w9COcjq3Ikh9NVtFk9Ubq2gASJa+p9gcJdea4qROIB9nVc4xiVy5l7vz7Ws7a33idQ02tfGPjSjw2G3+xYx+WZeG2aWR53Zxp75qwvF124VXT6Yw0ETWmLgUacSPpkgMAFrN2tL4bFLnTWODPQxYSZZ4MFEmmyDV3fms3Q5IlVm2Zj82hEgnFqFpYQF7R3O9rJB7jRxfP0BwYQhECRZJ5dWH9rNvSTcNEj+ljZRkJGVVSEuR+JM4HGumK9NMbHSBV87I2o54LgUbODF3FJqksS1uAR3Gxt/c4kpAI6iGWpy4g35lNY7CVk4MXiZlxGtJqyXNkcWboMo3BVnyahxVpC/EqrrH7IxqKYiRJRJZVZYLyv2VZXAg088b1T6jxlfBK4Ray7WkIYFhPlARHuy1NyyRm6hiWgUCgSgqKkBFCYFkWMVMnkbyRiJs6JuaNZgV1bKy5dTsTjk3I2G4YGsfMOEJIyEIiZsYxLRNJSNgkdSwbbFkWcUtHNw0sQBESqjRRVHLiMhaSkFCEPHbc48sY6KaeWAYJRZq4zJ3wCxcKCiHQbCqFVTkUVs09ge9BQgiB0+OYUk26+3pvIui5jbFmLBKj9VIHetwgvyIHZ5JksweJls4BuvuHx/62LGjtGuRSczcrFhYntY2MvFS+8gcvsvzxWva/f4KWC+2EhiPocSNxr9gVfOle5q8oZ9VTSyioyJ6ggBwx4rQE+x/qModudBGJHsTn/iqynOhykYQTm7YYwe1KAiaR2GEc9nXAeErfssJEYkfQ1Hko8u2NOa8Gr/Ne+x76Y4PETJ2vljyHIt3f4eR8Zzel6ak8Mb+K6wNDY4OnEAK/w85wZKLfU6VnOQKBLFTs8tQv0WgkNknA8k5ovtxFZX3pfcn03gy/5mRr7gIUSZoTb7c7wbIshodCbHp2SaLcMIUa81xgIBKhPTjMryxYgibLCAR++9ycWygYxrIsdMvgUP9pmkNtpGl+ns3bQPNIO+3hHrZkr0xkMIWEJmnkO7PojPSyp/c4a9PrODZwns8WPE53pJ8DfadYK6ns7D7EivRFpKhevKqLxuB1DvWdodJTxKXhZpyynVXpi5FvTARCwQhmkp1HdqeGqo2PRXFLZ0/vSYQQvFzwGDn2tLHrMNphCRAzdY4NXGBn9zH6ogE0SWGhv5zNWUtJt/mJmnHeuP4JUTNGms3H8YFLBOIj+DUPz+auZZG/HADdNDg1dIUdXUduSFWECMRHSLP5WJE2n+fy1qFbJt9v/oBUzUu2PZVdPSfpjQ7iU938aslT5DszMS2LzkgfH3Qc4OJwC6ZlkO/MZGv2Cio8+chCxrRMWkJdfNR5iKaRDmKWjl3SWOyvYFvOSlyKHdOyaA/38FHnIRpH2oiYcTRJZaGvjCdzVuJRpw+Mf+ECnn+r2PXjA+SWZbPq2aWTvrMsi8ZTLfzsOzupWlZGWk7KIxHw7D52lY8PjrdUCgE+t4ONyyqoLU8umB3leK14YjENWxcRHAox0B0gGo4iSRJOr4O0bP9t/YocskogHub1pmOk21wJzktGCa5ZWkski2j0AIpSijxF8GFZFnH9KsHQ68T0i4xEPsTleBoLg1D4Y0DgcjyJEE4Mc4BQeAeG2YlAwWFfD5ZOOLITwxzApi3BptUxEt7OSPhtNHU+Nq0el2MLU7XPexQX5e58FKmYGm8Jhc7sScvca4xeL/mW62ZaFgPhyCQjSLuc6PYpcN5eNC8UCM+IA/fhG0dY99zS+x7wALSFB1CFTKU3655mmIz/n733jI/jvs99v9O3d2DRK0EQ7CTYO0WKapYsy5ZlW26x4zi+dhInJzf3nnNyknNu7PviJDfFieMUJ04ix7ZkuShWs6hOiqLYewMBonds77szc18sCBIs4oIEKdnx8/lQAgbTdnbmP8//V56nYPDzH+7n839w/21thNAkiYDVhlVWKLfZZ/UzpWIZTKOYlt0QWM72ikuehbIgU2evmhLZTBcyHAifxK96KBg68UISExOf6mausx5JkOhODRLPJzEwmeOoxSpZMEyDsWyYSD5OWs9SZ6sgOBmBgWLxdCqenmZY/W6wOa2o1kv3cCyf5EJyiEZ7JdXWa5ctmKbJ0UgH37nwHMs8c1nnX0Q4n2DnyD5CuRifb3oQE5NoPsGeiePMcdSwPrAYA5Odw/t4ovsFGhd+DrfiYDA9xhPdL9DsqOGeijX0p0f5bs/PaXXWsbl8OZIgkTd1wrk4xyOd1NqDLPW0YJU0wvn4FAGJ5OL8U9d/kCxkuCvYjojAnvHj/F3nT/j91sepsZWRLGR4svdlIvkEd5W3o4kKo9kIkiBxseI8o2f56cCbXEgOcndwJXbZylg2UjTlLvE++BXhuQmYpklH5yh/+pcv8oXPbmTF8sbrClvdTugFnYmhMPlMfkqYUC/ohIYipJMZHB57UcNnLMbpdzpw+R0s2TwfT7mLXCbHxGCYQl7HU+7C7rYx3h8CAbKpHN5yN3aPjWQ0RXgkCgL4KzxYnVYSkSTRsRiSLOGv8qJabr2w8Fp4cPNCtq26zAJAKPokOe2Wm/JWEUQBp9c+pa9TClRJpsHhJ2fohHIpZEFEv4NFHrLcjCheX/RQlsrRlKUU9DFslq1IohdBkFHkehKpn2CzbAVspNIvYaKjyM2kMq9jFx7CNAuYpoFFXUEi9RNUeS6q0kImW45FW4MqX58YVFoDPFR9tTHnncTSmkre6uzh+ZPn8NttFAyDiWSKPV097D7fzQMLZ64GnIimSk45APjLnXSfGyZY5QUBHG4rVtudIcN9yRA2SaPFFbytiURBEPD47XSdGcIbKN6LLq+9JDuBUtAbi/CXB/agGyaRbIYjo8NYJBlVkvjdleupsN+66GcslMC8jpu8IDAttZI1ckxko6zxL+ZY5BxJvVhPeqW+lU22TKbELuBVnLhVJ0GLn3KLl1ZXAwJMEp7JdFY6SyJcelelzWmdpnGT1XPE80nmOK6vHxUvpNg5vI86W5BP1O/ApdjRTQOXbOOH/a9yOtbNXOel7tZP1O+gxVGLSbGW78nenfSnRnG7HQykxxjJhPmtlkdpclTTYK/kcPgcyUIal2yblmZK6hk+XL2Fensl4qSEhYiAYZqcjHVxJtbDH7R9ksXuYvSoyhrgG+d+WLSisW2mYBaI5hNUWQMs9c7Fp7oQgIKpowhFmlKYlOUIWnws8cyl3OJBQJi2zo3wK8Jzk0inc3R0jhCLZ7ika3DnYJomnUe7eeV7u/GUuek61kP9glrOHujk2BunMAyTTCLD/b++jaGuEToOdpFKZDjy+km2Prae/T8/Qv+kl5iiytz7ua383e//G/NWzSE6Hsfld/CB37ibV763i9HeCZw+Byt2LCFYF2Dnd98km8qSiqdpW93C6vuWI82ieZxpmoTjaXoGQ1gtCo1VfrT3YAYN4JA1HqlfhiyImBTDvPIs68xks3tRlDbyuaNIUhUmWQTBga6Pohc60SxbEEULuj5EIX8Sw0wgIKNZNiKKHmS5Dkn0oiqXXvCyVIUgXBosRdFJNnccU0yhKnMRRdekEvhGJKkcIf08hplAEoNIohdFbkKW39/ilqsbajk6MMT/fulNbKrCaDzB//fKbhKZHGub6rhn/sz9sqLj8RnJ+VttGi98fy/eMieCKLJuxwLals5+Qe+1UG5x8dboeQqmjkVScCkWFnlnX0xREARkReaZf3sLb8CBIAps/1D7ZTovt4Yap5uvb7wbKDqm98WjmECt041Lmx3yGBoOY+gmdbZKruxRr7NVIlxGZJyKg7WBxRwOn6HCEqDBXo1TtrPEU3y+vKqTBa5myjUfOyrWciRylk6jjxW+BTQ7aimYOscjHYiCgEdx4ZwcutLxDLFQouRzdnhsaNPIs4AwSSKuh0QhTXdyiHsqV2ObbGSQBJH57kYKvToXEkNThKfKWlasARKKlMyvupAEibReFP4VJ+ty8pO6YwbFlGCR9F32vhOgXPPSYK+8LOo62QVr6JxP9GMCB0Nn6Yj3AcVoVdbI0Zcq1tk5ZBtby9t5qu9VRjNhVvraWOqdS621fGqfNsnCprJlfLf7Rb7R8RQrfW0s87TSYK8oORp4S28R0zSJZI+RKgxR7bi35O3648/iVOfg1uaVfBzDzCEKMsK7tNv+Z4KhG5zZd56W5U1s+vAavvu1pynkCrzz/GEGzw9TXutnbCDEWH+IxVsWEBmPkQgnue9zd5FOZnjj6b043DYsNo1UPE1kLFYcyD65iWwqy0/+5kVS8TSaVUO1KLStmkNFQxmDnSPs/vE7tK5sJhFJ0Xt6gGV3LcI6i4SndzjMP/xoDyMTcSRJpL2tlo/fuxyH7dYMBWeq6SEIAuOZBLtGzvNQ3WIAnu0/zsbgHMoss2dNkM8fxTTTZLO7kKQiyVDV5UhSGen0U8hKC6IYpFDoIJX6ATb7J8lm30YQNDTLtqv2ZxhpdGMcw0yiG+OIogNJLMcwYmjKQhSlGRBBECYVvS/3EZIxESgUBhAFF5J0ewu1bwWKJPLZNctZWl3Jkf4hxhIpHJrCwqoKVtZX47fPPG07MRgmny1dZ2nN9vm0LGuc+t3pmQ2RvNLgUa1YJJm+ZAhJFCnXnLeF8IiSwOYHlrDh3kVTRdqewOxZrYiCgFVRSOXzPN91jp5YBDCpdrh5ZO587OqtR5BDwxEMw6DFebV2V4tzOkGVBJGVvoWs9C2ctnxdYAkAAc1LQCs+F/X2Kurt0ycGC91zWDgZybgcyVia6Hj8quXXg6fMhd156R62yhoe1clwZhwDc6ou6HKYpkHeLEzqZF1aLgsSJiYF89K9bZHU67R/F8fJRnslzY5qvt/7Mmv8CxjOTDCcmeCeitXTxEUFwCZff2zO6QUKpk5vagTLZRY2ba5GmiejVYoos6lsKTW2cvZOnOS10YO8OXaE7cGV3FXejiopyKLEav98ghYv+yZOsXvsGLvHjrK1vJ27K1Zes9njStzytDmrh0kVBma0TaowgEW+fkHkldDNFOPpfXi0hVjkmftR3U68l2LGgihgFPRiDnOy1VGSRFbdt4zVDywnn8njuEb6RhAE7C4r2x/fSP38GvLZPBaHBdWi4i13Mz4YQpJERElk7YPthIYj7PrRO4z2TdCwsJbqlkoe/sp9aFYVURLRrqHUeSt442Aned3gq49vJhxL82/P7md5Ww3tbTPXGDFNk3g4Sc+ZQcIjUXLZ/A3VS0VJZM29S3C4baT1PEPp6NSMZSAVJV0oXQm8FMhyM7ncAWSpnoLehSTVIIo+ZLkBUQxwiZAYyPJcNG0jhjGBYYQBA1F0o6mLpvZX0HtJZ/cgCFbSmTcRLDJ5vRcQyOZPkMntx2n/OJq6HEGwIiCiqYsRBTui6MJqWUs6uwfDjGK33neLn24GD4g59Z/S9iwIODSNdc31rGqoQTfNYkeKJN5Ue7xpmIwPhijkSv9+s5kCZ4/1kc8VECWRtqX12G7SCmWmaLAH+HTzOqB41W6XdolpmIwPR5mzoBpREujrHCMZS2MpwVJgJghlUgwmYvzGkhWAwHeOH2Qik5oVwjPSM44+i9pBN4N4OMHEULikdUVJxF/lnTa2OmUbTfYqdo8foyc5TKOj8qquSE1S8atuxrIRDNPkouzNRDaKiIhXvaKp5V1uGZ/mZoVvHq+MHOBsvAeHbOPzTQ+xyN10jW7Ma+9IEAQCmhuHbOWT9fdQbZv+/pau0PSa56yn2VHNfRVreGbwTX7Qu5NFnmaqrcXtVFGhxVFLg72SeyvX8OzgWzzV9woL3I00OW5szH3LhEdAIJnr5nzkX5BFO5X2bcRz5xEFFZ9lKaOp3aiSD4tUzlByJ4aZJ5UfxGdZRrowzEjqDTKFUQBqHB9AEBRGU7vIGzG8lqV4tcUMJJ5nMPkSLrUVn2UpFfZtGLrJy6+dIhxNsWVDK7v2dNDbN4HdprGyvYHFC2uRL5PxPtsxzKtvnOZDDy0nFEry9r5OJiYSeDw2Nm9opbWlWLBmmiaRSIp9hy5w9tww2VyB6kova1c1UVfrR7rCtDKb03lz9zmOnxogn9dpmVPOhrUteNzTc5zxRIZDh3s4cXqAVCpHRdDNmlVNNDWUId1E14MoiSxcP4+Xv7uLp//iWRKRFHaXjfUPr2LXj/fy4796Dofbzj2f3YKiysV/k91HmlVl3UMreeeFQxzYeYyqpnI2PrIaq0MDoai7odk0Cnmdfc8fZrhnDL2g4w26qWoK0ryknuf+8WUkWWLlvUuZt2p2XaeHxqKsnF/LwjlVZHMF9p/q5cJAiGWtNUglmMpehGmadJ8e4Pt/+iyn93cRHo3eMF0hiAJWu8bcpfXFCJgkk9Hz7B/vQaDYtaVJs5tek+Vm0qmfoFjaQO/BNDOIohvDSGCaOUwzCWQnz8+CIMiAiDnpuazItSjyJTKoKq3T0lu6HiKXP4XT/hiyVE0s+R0MI4rL/ompdRy2R6Z+tlm2YbtG5OhmIMrFFtdSygp1XcfQTSixNEQ3DAqGgSpJqLKMaZpk8gUS2RyqJGFRStfYAkjGUowNhGck5//6zw4TqCtD1WQyqRzegJOK2tunTXU5xrJxnu0/VozwCAItriAfb1x94w1nCF032PXCMZrnVwEi5471Eahw4w/e2DtqJriYrsnohamfZ0vmIDQcITaRwO66cxG4y2EaJuGRKNFrCOFeC5pVpbx2emHyxSjIvtAp/qX7OR6r3U6dLYggQLKQQRJEXIqddm8reydOcj7RT72tgoyR4/WxwzgUK/NdDSWfc6qQ4WjkPG2uRh6t3YokFM1SzRlUcIgILHA38fzQ2xwInyZg8aAKMgYGY5kIZZoHVVRI61kG02MENA+KIOOQrdTZKnhFPzhlVpzVc/Snx/CrblRRxipp1NsrSetZCmZpZPaWR25zUnqs3LaBoeTLhDKHyOohFNEBLCWR78ZqZolkjiMIEuXWVcRyZzBNnZHULmTBjt+ygpHUm6iSl67oEyiiE03yM5B4HrtSh1dbQjR3hkr7dhxKQ/G4psmZjmHefuc83T3jxGJpVEWm88Iob+/v5JOPrWHrpnlTFgFj43HefOscqipztmN4KiIyMhZjQVs1rZPv7NGxOP/0b7s41zFMZYUHVZV4a28Hb+3t4DOPr6d9af20AuXX3zyDiYnDppFIZtl/6AJnO0b4zc9vwTHpNROOpHji+3s4eryfsoATVZXo7p3gzT3n+LVPbmDNyqYZvcihyJzr2mp49Pc+QCGvIytSMUqjKQSqvWRTOWRFwuayIogC7XcvmWq3FQSB5dsX0bK8kUKugGZT0ewan/6jRwHwlLt55Lfvw+aysvahFWTTWWRFxuV3Fg1bP7uVRKQo++70OmY9ypXXDVRFJjlpImtVFaKJNMlMbmrmrirSDQuXs6kcP/iz59j9s0OomkJFQxmKItF3fgSLTSVQ5Z2MAKWIjEYRZZFF6+ayZMO8KbFMv2Znc8Vcdo10YJqwOdiCf5aFB0XRh6zMQ1aaKT5RRe+wdOrHmEaYbOZNMEUEwYkkFUPykliOSZ5SRh5RdGHR1pJMvwgCKFIDqrLwhtvNBmRl0h26hPEony1QKOioJTKejtEJ9nT18ujyhTg0lcFojH/cfYCj/UMsrq7gixtXUeUpTfQUIDQcZWIgVPL6AMlEhi0rGnH77OgFnXj05qw+bgbHwwOICLgUKws8VYxmSnuZ3gwkWWRiNIbNYSERTxO8DYKjfquNFq+fvzu8DwSBZeWVlNlmh6BkUjkGzg9T2Vh6ZmE2kc8V6D7VX3JBvNWuUX2NGqkGRxWfqL+HH/W/xl+dexKHbEWc1L95sGoDdwVXcHfFKkYyYb7d+R94VCdpPUtGz/JwzWaCFh9Z48YRTNM00U0DWZDYO3GC07FuBEAWJdpcDTxYtYFACQrVgiDQ5Kjisbpt7Bzez9FIBzbJSkbPIQjwhaYP4lBsJPIp/rX7BTKFLA7Fhm4ahLIxdlSswj8ZlUrpWZ7sfZlQLoZLsWGYEMpF2RZcQdBSmi7UrExVbXItTqWRmFJHtjAxNZsr1t4UilGdwhBB2yYcShMWuRIQsUhlTGT2o4oenGozIJDI9+DW2jAxKLOuRhIsCJKALNixSAFUafpFDkdSBPwOvvLFbdhtKj29E/zFN3fyw58cYPHCWoLllwa8VCrH/oMX+PTH17FsaT2qIhGOJLFOdhnpusELLx3n+Il+PvvJ9WzZNA9VkejqHudb336NJ77/Ng11fsouUyZOpXP8l9++h4Y6P6l0jief3scLO0/QvrSeLRuLs+zXd51h/8FuHv/YGu7a1IamyXReGOOv/nYnTz69j/mtlXhn0Dl0EZIk4im/epZ1LS0e6xVhdkWV8VVMv5YX9yXJEq5J36lrqWRbHZar9jebyOcLPL/7FEfOFlOl5/vGEASB/pHI1IznAxsX0D7/3VNcHUd6OLG3A6vDwoe+tJ219y0F4E8+/bc0zK/hk//Xg6iawkjfBHuePczeF4/QsqSBB79wFzbnpYK/Rd4qHLKKCTQ6AlfZPtwqRNGN0/lbAChK29Ryu+PTwKevWLsoO6BZNpS8f0GQsWl3EcutYiKVYmHF9YtNk7kcF0Jh5pYFUKXphDKRzdIdjtBaFkCRSqvZKtp4CKXwHdLxDLl0ruSU0KG+QXZ3dvOxFYvJFnSeOXaaw/2DbGlpZHdnD8+dPMsX1pcmkmmaJmMDIUb7Z2YqWtdcjstr4+Cus2TTedbevWBG298K8kYBv8WOgckKfz1PdO29LceRZJF5S+t46u9fQ5IlPD4HNU2zV1pgmiYFwyCVz3Ff81w21DZQMHSGkwkKM9BEejekkxm6jvfRvn3Re2KqnMvkOHugdP82u9tGfdvVKRpJEFkfWMQcRzVn471EcglEQcCrOpnnLHreBTQPn296kBPRTkYzYSySylxXHXW2IKIgoggS6wKLSOoZVPHS5KLS4udDNZupsZaTNXK8OPQ2eaPAJ+p2TOn8hPNxftr/Bi7Zzodrt6IIMlvKlqNz/e9JFRW2B1cxx1FDR7yPlJ7FLluosQaptBaJilt18FjtNnpTI6T1LLIgU20N0OZqwDaphu2QrTxSs4We5BBJPYMkSFRZ/cx3NV5XIPVKzEJKSyRZ6CGcPU4i14nXsgTDzBHPnScyucwqV+JQ6ojmTiIKCpnCMGCgiE5MU8ehNmGTq5FECy61FU3y41HnY6Kjii5yRgQQiOe6EAQFq3xpwPa4iympi9GUmmovmzfM5Vvffp2h4cg0wiNJIu3LGli9smkqNRW4zFByIpTg2Ik+amt8bNk4b6ozqLHez/Yt8/nWt1/jbMfINMKzZmUTNdXeYl2MTePuu+bz8munOXl6gPVr5pAv6Ow7cAGHQyNY7qKnbxyAQsGgptrH2++cp38wfFOE55cV21bNpXvo0ky7sfrq2aSzBKfm7tMDJKMp1ty3lA/+xjYcHhuJSAqrw4Iki5TV+HH7HdS2VtK2qhmby8LOH+yhoiHAjsfXIysyyUKOp3sOEc4WZ+4e1cqjDctx3Gaxt9lEJl9gPJnk/ESISDpNpctJKpfHbdGwyAoTqRSGaeKzWUnmcihiMXSdzueZSKWRBIGA3UYyly8KwgkCqXyeUDKFLEm4NJVIOkPeMHBbLLgtlwoYbU4rkiyVVAgcC8VJJzIlW9GMxZMEnQ5sqkJvKMKrZ7p4rH0xjyxdgFVVOT4wcuOdTKKQK9B5rId46MYK3pejviWIx+9g5eZ5KKpMy8LZLxq+Hua5K0kUsuR0nT8/tZOlt8FHCyYjwhvmUl7lRVYkvAHnrBZnR7MZ/vn4IXpjEZo9flZWVrNvqJ9oNsOXlq1mNsqjs+kcncd6yKZzWO6QbMDlmBiK0H2y/8YrTqJmbiVO77U/uSiIVFoDVFoD193eqdhYG1h0zb/JosxS79UdjGUWL9stxQnCRDbKW+PH2FGxmq3BouaOiUmqkOG1kYOE8/HJfUms9M+/4ecRBYEmR/V162xUUWGBu4kF7usb0iqizDxXPfNcN98FecuEx6E2EjS3EM2ewaW24Le0Y5gFCkaKSPYkZbb1uNW5aFKA4dTrRHOnCdo2Y5HLCWWOIIs2ErkLTKT3U+f6CPWuDzOa2s1IahcOtQGXOhdFdFNh30I4cxQEcRrh0VQZv+8SWZAkkYqgG103GJ+Y3gKoKBI1Vd6r6nAuIp7IEI1naGutRNMuXRpRFAn4HWiazOBQZNo2ZQHntBTKj4jqAAAgAElEQVRXeZkLVZMIR1JkswXiiQyRaIrzXaP88defueqYLqeFdIlGqf9ZsKl9DptmYT/R8TiGYdIwv3pKe0cQBFSrSjqRnSpivChOeN9nNrHn2cO8+dMDrLlvKb6gm1A2STyf4SttWzAx+buzuwjn0r8whEc3DI4Pj3B4YBDdMHFaVF4804EsioiCQIPPy7HBYardTpZVV9ExPsGRgSGqVy7n7NgYuy/0siBYzur6Gs6OjXN8aIRPLndwdGiY7lC4qPRr0Tg1Mkqt240sijy8cD7qZLrR5XcgqzIkszc4UxgfjBAPJ6lsvOGqQLHWTJ58lg/2DiBJIivra7AoMl6bhXS+9OcqFc9w7M3TM+7kGxmIUHj7PJIkks8VsNo15iy4cfHkbKDJWUaykMUua6wMNFBtuz0ddaYJ508OsOuFY3zg8bUM94fIZvOUV86O6WYxkqPzx+vv4vunjvHvJ4/yUMs8NlTXY1VmyajXhJ7TAwxdGKVxwe0hhu+GI2+cmlFLetuqOdc0Dr1TUESZcouPdyZO4lLsuBUHyUKa49FOovnElJ7OLxpuifAIgoBdqcWuXH0D1TofusayB6d+zk12dwWtG9HkAP2Jn2GYWTTJd9W2AuCzLMNnWXbVPg3TpHCFcuXF32X5amLzbrUykigiicKkgaA5rehYN4qOu8oV+9R1Y1pjSaFgYBpF4iWIxf+LokhbaxW/8blNV3WPSJJIVcWdc+v9z4SLL6+L/jGCICCIAg6XldBolHx2+gvR7XcSrAvQd26IdCIDQTeKKKEbBhcS42AWvWWUO2iQeavQDZPxZJIVNdXkdJ093b3Es1kafT50w2AoFmNumZ8NjfVT93t3qNhJUul0Uma3kcznEASBloCf3nCUbKHAWCLJhsZ6Qqk0uy50U+/18MC8Vp46emKyyLBIeDxlrpJViCeGwowPhJiztKEkIc+Wcj97L/Tx9OET/Mex06ysr6be58Y0TULJNNoMxCl7Tg/QcaS75PUvwu2xYRomI0NhLDb1jnZt9iZD/LjnIDlDJ28UWFc+h60VpUl9zASGbnBw1zlME1KJLD0dI6QSmVkjPAXDIJRJcy40TiKfpdnrw6lonBgfYWEgOGukZ+D8MJ1He6ibV33dSe/tQDKa4sgbp6bEYW8Ei11j/pqW9yT1dhEO2crj9Tt4cegddg7vK9bziBJ+1c1nGx9giWd2G1XuFN4z4UFFdFNuXU8oexgzY+BW23CpV4fZopkMR4eHsSoySysqr6odSKdzDAxGKJ8Mg+fzOj2946iqPLWsVHg8NgJ+B4NDEeKJDK5JDQRdNxgYDJPP69TVTi+O6u0PoevG1APUN1Cc/ZQFnFg0BVmWCAQcjIzG8Lrt1FS/f3VNftlgn+yUi47H0XUDWZaQJBF/pYfT+7uIjMUJ1k0PCwuiQDKWnor++DU7i7zV/Kj7MABryhrxabOnQXK7IYkCbouFs2PFVKrPZsVrs1LtdhJ0OEjl83SMT3BoYJB6r4euiRB90Sjd4TBeq5UKl5PuUJihaJzRRIK+aISheAKXRePE0Ai6aVLtdqFMprqu7MYqr/VPU4t9NxRyBc4e7KJ9+6KStlnbWMfeC318b/9RGv1eHlm6AEWSSObyDMfitJRdP+Q/7bh5nbd+doBECYa0V6Lj5AANC2tpWVSN2+fAf42autuFU5FBWlxBNgfnEsql+FHPwdtCeEzTBBO8ASeFXIF0MjurhMFrseJUNN7ou0DBMNCNPG/2X0AWRRo9vlkjPLlMnr3PH2b1vUtx+u7MM2yaJmcPdnH2QFfJ0cM5S+qpqC/t3r1dEAWRJns1X2h6iIJZNPMs+tCJKKJ8R02CZxPvGeERBBG/tR2/tf1d1xMFgUgmw86uAdrKyq8iPLF4hhdfPoHHY8PrsXHu/Aiv7zrL4oU1VMywbdLltLJhbQvfe+odfvTMQe67exEWi8KZc0O8+PJJFi2ooalxerHe/oMXWLywhrbWKhLJDM88dwRJFlm2uA5ZlpBlia0b5/EP33mT7z21lw8+sIxguYtUOkf/YJhcrsCq9kbU90hJ+JcZVU3lWOwaveeGiI7H8Vd4kBWJxgU17Pz+Ht786QHq51WhWhQMw2Swa4ShC6NYbNqUW7qBiSxKBCwODNNkNBMnU8ihqu9/LzIoRi0XVgSxKQqyJOK1WosWDKkUdk2lwefBriropokoCPjtNrY0NWJX1SmytKa+lhqPC8M02NLUiNuiUetx0RuJokkyQaeDVD6HRZa5a07TtGJnf6UXp9fBcPdYSed7+NWTPPTFu0siPC6Lxle3rmMwGqfcacdvLxJcRRR5dPkifCUID5qmyfkj3RzYeWxGCssXsfG+xZiKzJnDvYTH4siKxLLAnZn9+jQ7/ckQkVya4XQEl2IhlE0iCcXOrdmKEEiSyJyF1bz4w310nxumtqmMmqbZ63aqdrr47+u2zNr+3g3Hd5+dItV3IoKSjKbY/dMDhK4ohbgeJFlk0WSX6HsZ4YHJ9L+klNw1+YuAGb1lw+k03ZEI6Xweu6owx+cnq+tcCIcQBIFmrw9FEukOR9BNg5xuMMfnw6lpDMXjDMZjWBWFZm+xCHUkmSSZyxLLZmkrK0MRJTrDIVK5PGV2O/UeD05NY0F5OUdHhq95Tm6XFatF4U//8kUKeZ1UOkcg4OCxD6/C457ZS0kUBTZvaCUUTvL67rPseqsDSRIo6AY1VV4ef2wtHvelYj2X08LypfU8/dMDpFI50uk8Jib33r2IxYsuFS+uXtFENJri56+c5Gt/+iymYSIIoGkK61bPYcU13M9/hVvHnCV1+MrddB7rZbBzFF/QjaRItLY34g+62fm9tyjk8rStmkMyluaNH+9jbCDEkg3zsE1G90LZFLtHz7Mm0IhFUhAFYdatJW43XBaNpdXTzVbrvZfSEQsu69ry2WxwGaevcF4q0G8tn072fZe1DPsoXq8m//QCc0WTqWutpOPwhZLOdaBzmMOvn2Tbx9bdcMAXBAGPzYrHNv051xSZhVWl2R4koyl+/sSbDHaOlrT+lTi4+xzzVjaz7p6FVFT7ZlWB+EaQBJH9Ez0cDPVSMIpk7S9O7aTc6uJLc7cgz9ILUxAFVmxqpb4lSC6TJ1DpwfkLYD58LcRCCV781zeYu7xxqhP1duLUO+d562cHSo7u+Cu9tG9fVKx7+xVmHTO6qs+eO0vBMOiPRdENk99cuYoXO84hiSLJXI7jIyMsr6ziL97ew/amJgbicTpDIdbW1vLMmdN4LFaGE3GWV1XR4PHwDwcO0OL3Y5Fl6tweJFGnYyJEPJflxfMd/ObKlVQ43v2mtNs1PvrISvoGQoyMRLFaVebNrZzqnLqIpoYyPvv4elrnXt9lu28iQjiZ5sMPr6B9WQMv7DnFzuMdPLR2IY/etRSv18bR3iH2dPTQXlXJV764jRXLG5iYSPCDVw5R6XayYn4dba1VqMqlS2uzqTx4/1KWLq6j88Io8UQWTZMp8ztpbiqbViA9U3RExzg00c8DtfOZyCR5daiDD9UvxqOVNiDl9AL7xnpZ5q/BrtweE9D3Cv4KD+3bF9JzeqAoqmgWB+/G+TVs/eganvn7V3jmH17lmX94dWobt9/B1o+uwTUZ8lZEibxhsH+8B7uioggS89wV2OT397UqOgibGGbRTXyms0XDNDFMY9Iw8eZfnIIo0La6hVd+sKek9ZPRNK89+TbLtszHV+G5rbNc0zB5+7nDvP7U2xgzMAy9HPc9tooFa2bu2TUbWOKtocziJKPnqbF50E0TRZQmUw+zd91Mw6Tr9BCN8yo4tPsc5070s+GeRTh+AUmPoRscevUEb/zoHe79zOYpMdbZhmmajA+G+enfvlSynYQgCMxd3khre+N7Ht35ZcWM3rShdJoFZeW4NI28blAwdHZ2dtIaCFAwDPw2K+l8noDNxsNt8zkxOsKe3l7OjI/z6oUullVWksjlmEilqHW5scgy25uaqXUXU0/nJsYZSSQwTIMz42MkcrkbnpNpmtisCqtXXL+dDaCq0kPVDYrsAk47LqsFTZNpa62kps6Hs8FJhduJx2tDFAQay728fPI8BRl2bCtqbvi8dr5SuQWrqmBRrn1JJUmkoT5AwyznZodSMd4c6mSJr4pz0TFeHezg7urWkgmPLIq0eYKzrh78foAgCHz0q/ehF3RcvqLpIRSLAj/85R1IksSe5w6RTmYRRQF/pZcdn1jPxofakSe9wfJGAasks768GUWUkAQRi/T+D/EWTINn+49xJNTH787fjkedWRvxkVAf3zm/hy/M3cDiG/gzXRQpuxY5EgSBlmUN2N02kiWI8pmmyfG3zrDz33fz8Jd2YClBfuBmUMgXOPzaKX7wZz8jFc/clmPcbnQlxvlxzyE0SeZTTWvYOXTqtikt7331JA6Xhc5Tg8iKRE/HMAvaS2yne58hGU3z1J8/R3ltgJU7Fk+lr2cLF+1snv6r5zm++8yUyO2NYHVa2PzoGlTL+3syNVswTRPDmEA3xlHkRgTh9ssFzOgt1+zz8WZvD8srK9lU34CJSY3bxRfaV1Bmt5PO5xmIx7EpSrFmYNJVVZMlFpYH+eqadSiShGmajCaT2BQFiywjCgIFw2BXTw9VTidra2s5NTZWsq3OTBpJo6kMpwZGGYsn8NqtRFMZ1rXUk8rl2Xu+l/qAl2X1VYiSgNOq4bVfyoVfCqFfaknO6zon+kY4MzTGpnkNVHvd5HWdY73DnBsep9LjZGVTDWOxBF2jIcLJDFZVZtO8RhyWW/+CZVHErqgMJKMMpKJU290YpsnpyAhHJgZwyCrrg42k9QJd8QnaAzWcjozgVCxU2lzsG+0hls9wd3UrDlFDNw0Oj/dzOjKCJsnsqJ6HKAjsGu4knE3TXlZLq7v8lmb9dxKu63iJecpcfPq/fZD7f20T4wNhZFWmsrEMx2WWIAAWSUEVZQ5N9GGRZGRRYo6rDOv7PK8tIlBv9yMJIpo4czKbKuToTYZK8g0zMXl+4ATrypoJWKandARBoLwuwPzVc9j/0rGSjp1N5fjJ3/ycQJWPux5bO+svJL2gs/f5I3znf/6Q/nNDs7rvO4nzsVFa3UF6EiHssoWBVGl1IjeDXKbA26+cpG1ZPaGxGJn0L7aUxmjfBN/+wyeRVZmlm9uQZtDRdyNk0zme+budPPftV2dkRLtsywKWbGy78YrXgGEkSGV2Uih0Ty0TBAVR8KKq81GVBQjC+41I5Ykn/4148gmCgSdRldsfKS15JMzrOuOpFIlslpOjoySyOR5sbeXupjn865HJDpaaWmrdbvyTuX2LLOO1WpjnD9AfjfHNfe8gCgIPts7DpWn4rNapNm1REFgUDPJKZycD8Rh+mw2LLHN0eJifn++gNxrhB8eP8WDrPIKOm8+TR9MZ3jrXTdDt5EjPEFVeF0d6hljRVI1hmhzrHWJRbXBK3+NGEAWBSo+TZ4+cpiXop8rjomN4gtdOdbKxtZGTAyPkCzrZQoE9Hb083D6f10534XPYWN1ce8uhS1EQsEgysXyGsUyCGpuHoVSMVwbP0eoupys+QTyfZWtVC0cnBhhKRelLRvhI4xJUUaLS5uKV8+dYU96AQ9E4NN7PWyNdrC1vRBIEREHgJ93HsMoKLe4ynu09ibPZQo39znWj3C6Ikkh5jZ/ymuvLkjtkjfXlzXQnJmgP1JEu5NHE9zfZgWKx8nJ/Hcv9V7tDzzb6UxGe7TvGfHflVYQHwB1w0r59Ecd2nSGbvnHUFiAyFuOJr/+YXDrHxkdW4fDYbvlZ0Qs6E4NhXnvqbZ7759cY6Rm/pf291/CoNjpiI0RySd4a7cA3wyheqZAkkcVrmhnunaC+JUg+X8BXdvvrX243+s4O8te/8y985HfuY+OHVuH02RFvQXLC0A1Gesf52d+/zM+feHNGZMdf6WXHpzZO6YXN+NhmgkTyh2Rz76DIxcibaepAARCw2x7B5fh1RPH91GEqIkmVqMoCROH6GQnTzJHOvIYs1aIo8xBuQem+ZMIzGI8zkkjwx1u2Estm+cGJ44TSabY2NrK+rjioymLRpfiLK4ry962BAHP8/mLXxIIFUzLhF9VaP710GfJlhGdlVTVLgxUgFJveFEmiwulkrt9fdAMWhKkOEEEQWNhWjdNhmVJELhUem5XGMi+pXJ6mMh/RdAaX1UKN183ZbGndJBchiSIVHic+uw1BKEab+kNRgm4Hq5pr0E2DM4NjuKwa86vLaW+spnM0RDSVYQYebO8Kl2ollE0hUCSZQ+kYx8ND2GQVwzTxaFa8mpX1wUb+7PhrfKxpGXX2Yo1TncOL7bLanXPRURqdftoDtUiCQCyfoTcR5hNz2mly+jkaGqAnEfqlIDylIJbPsGv0PL2JEBuCzbw8eAafZsMq33ntpIJhcDTch1VSqLJ5OB4eYCKbxKlYWOarxafZi9G96BCnIsXIhV+zs668+ao0XFYvcCY6TE9ygqx+aWB2Kha2VhQtUQQgred4Z+wCg+kINkllgaeKKpsHURCYyCY5HRni7bFOepIhXho8xeFQH1Bs36+xFe8xSRJZuWMJLz2xi67jvSV/3uHuMf7xv3+frhO93PPpzTQsqClZ0+dyGLrB+GCYI6+f5NWn3ubEW2dn9DJ6v2Kpr5axTAyD4nf+wbqlt+U4giiwass8TMNEkkV8Zc6p9PAvMkzTZOjCKP/0P57i+Ftn2faxdbStacHpmRnpME2TRKSotfP8P73G0V2n0WfQ8SerMusfamfJprZbjmaqygKCgR9M/qaTz58jEv9zYol/xKJtwqItv6X9zy4kHLaPYLc9jMD1sx26ESaW+Bcc9o+iXGaKfDMoefTwWa04VZV/OXwIE6j3eKhwOJBEEesVrFidrAeRRJGLgUJFkq5qKb/Sq0eaJEyXo9gVcy0BQZFtW24u/CeKxSLOYjFnkaSksjkS2SzpXJ54JociSaRzeVLZPLphkszkcFhUUtk86VyeRCZHMpvDosgkszky+eJ2mVwev8PKyf4R+kNR+ieieO0WBARUWUISxUuOszeJZCLDM9/bSyyaxr+pDL/XRk8iTJWtqDvkVa20uAI8UDsfu6yiSTIZvcD+8V62Vs2hMz7BcDqO32InmkuT0QtEcxn8mo0Kq4sz0VGG0zEkQcAua3g0KxfiE2iSTDibovwas/j3M0zTJJfJk4gkGR8MEw8nkRSJeSuasU7WiJimiaEbmGYx8nNR+C5VyGGVFGrtXiRBJGcUKJiz4+8zUxRMnWf7j5HRC/g1O92JCfKGTkbPU2v34ps0NY3l0pyNDXMsPIAkiCz21kwjPFm9wLP9x/hp7xFqbF4yRp69Y11UWN18sHbJlJZOztB5uucQeUNHFASG0lEqLC7+z4X30OQIMJ6JczDUw8noEPF8hlPRIZypomjhXFeQmsuUf6uag2x4eAV9ZwfJ50onG6l4huf/6TWOvHGaxRvn0b59EXOW1GNzWpAVGVESp16+pmEW64kKBnq+QCKaouf0AMd3n+X0vvN0n+wnFU+/6/EaF9bi8js4+sbpks/xTsMwTYbTUQ6FeonkUsxzVbLUV0ul9faQ8CJpFS5qSc5q+udOwOqwYOjGdaOLqXia13+4l+O7zzBnWQNLN89n/uoWgvUBFFVBUorisdOEaAs6+VyB8EiUk2+fY//Pj3J6XyeR8djMaiyAucsaePCL22fJn1BEFC9F+lR1KXbrw6QzuyjoPUCR8BhmBtNIIopuQMcwkhSjQTKiaJ9WT2OaBqaZwTRTgAEoiKJtMkUmTDZIZDGMKKLgRBCsl12rPIYRRRBUBMGBIIiYpoFhRjHN4vchICKICiBedkwTyGOYSfL5TnL5YxjGDnRjlGLCXkIUXTNO05VMeByqyqeWLCVTKCAKAjZFmT3Z7zsIq6JQ5/fgs1upC3gIOO1YVIUjPUOcGhglmc2x68wF7l7YwtvnexmMxBAFgb3ne1k7p47Xz1wgls5yamAEm6awqLaCV091ksrmOdIziCbLzK8uZySW5KcHTxFw2tnS0kDvRIRMoTjQV/lc2FXlpqM7fRfGePnZI6QSWR5ZupnWhiB2WaXJ6SeUTdHiLkMQBJ7vO4UJbKuaiyKK+DU726rmsn+8l75kmJxR4OWBc5imycuDZ7m3eh5ryhtIFHI81XUEm6zwkcYlfKhhMS/1n+V4aIiVZfXUO2ffKfl2wTAMhrvHeeWpt3n7uSNMDEcwdINApYc/+u6XsU66JxdyBfa/fILQSJSlG+dRPSeIIAjYZBVVlDmVGOLFgVMYpoldvvNePJfj4HgPn2pew6ea1qCKMik9S5lWTDEIwIpAA22eSr7b+Q5vjXVetX04l+TJ7gNsqZjLxxqK3jl/e/YNuuJj3F01f6rmJ5JLIQsiX124jYDm4GRkkD88/AzvjF+gzu6jyVnG5+ds4MXBk3w/t4/fmLuRRkexKP/KiJIoCmz5yFr2v3SM0++cn9Hn1XWDvrODDHaN8MbTe3H5HFQ1V1Be68cdcKLZioNePlsgk8wSHo0yPhBiuGecVCxNJpWlUALJ8ld5efy/PkwhV+DYrtKLTe80htIRvtu1F69qp8LqIpJL84PufTxYs4SVgV/MQuLbBVESuf9zW7E6NH70jReLCurXwcRQhNDwUY6+fhqrw4Kv0kNlQxn+Ki92lw3VomCaJplUlshYnKGuEQY7R0jG0mSS2RnbkkDxnvvI79xPdXNpMgo3AxMdQZAQhUtR+UxmN7HEt/C6/hvZ3CGS6efQ9REkqQKP67exWrYWtzUN8vkzJFJPkcm+jWkmkaQKbJZ7sds+hCgW3wW53DFCkf+B1bIdt/PLCIIN09RJZ14hEv9rHLZHcdo/DmiYZoJo7Btksu9gmDEEwUK57+9RlObLztogk9tPPPEE+cIZDCNENP5N4sknAAFZqsLr+r9R1ZmZ9ZZMeARBwKlpOLX3drC/VZS57GxfWPQBaaueLp61bu50U7Idi1rYsWi6iNhDy9t4aPn0yNKHVy7kwysXTlt2/5Lpobdy96WoyMbWhps6dygy366zw4TG4qiaTIurjGXBqwe5KpubTRXN05bN8xQfqrurL53b51vXXLXtB+sXXrXsc62z3/1xJzBwfoRv/sH3OLHnHIZuIIgiekHHYtcwLnuhiZLIoddO8dK/7+Zjv3s/j/7OvciqjFu1sq68CYHizPr+moV432PRQbui8VDtEtyT5+Hl0oxOEAQUQcImqVdFUC8iqxcYTkeZ4yzHq9owMGlxlnEo1ItuGlOzM4skc3fVfJocZYiCwFxXkEZHgIFUUWfLIikoooRFLDYe2CQV57t4jFU0BHjkK/fyrZ7vEhqeeYGtntdJRFIkIikGu25ON+d6sNg17v3MZlbds4QLJ/pw+RwltxPfaewZ7WS+u5L7axYjCSKmaXIs3M+rw2d+RXiugKEbiJLAB76wjYnBMC99dxd64foR2ouEJpMqEufOoz237dwcHjuPfvV+VuxYPItRMwPDnIximgVy+bOk0s9hUdeiKpfeW6aZIV/oJhr/JggCNusOBMGKro9OI0aFwgVC0f8Hw4xNEhwPudwJoolvoRsh3M4vI4p2VGURNuv9JFJPoiqt2KwPkC90EI1/E1mqxG59YCpqJAg2HPaPYbVsIpH6EenMG5hcOSEpkhqH7WHyhfOEo1/Hbn0ATVtdjAgJNiS5asZX55evF/mXHJl0jvNnhsik86i3oN/znwG5TJ6n/uoFju0+S2VDGe3bFhCsDfDkXz5/1bqSLDF/VTOvPb2X0/u7iEdTpB0mu0c6GZzsfql3+PCotvdcVr1Mc+BQbn7iYZUU6u1+jocHmO+uxARORgaptXmnRa/ssoZPtU115ImCiCbJ6MbNpfQkWWLVvUvoOzvIj77xAsnYu6eX7hRUi8L2j6/nwS9sQ7OqOL12gnWB9y3hieXTyKKdM9FLYqx5QyeUnbk1xn8GJCIprHYLH/0vHyAeSbH3+cMlRfxuJyx2jQd+fSs7PrWxZOuVUpDLn2Bo9P7JtJqOSQFNWYbL9etI0vQJvmlmMDHwuf8nslQDSJhmBkGQJ/+uk0j9GF0fwe/5Opq2CkGQ0S0TQJ5k6ofYbQ+hivMQRStO+6fJF84TS/w9guAglf4PTDOH2/kVJOmSaKkgyKhKK6bcSDZ3hDRvXPU5BEFEkRuRpQbEXLGpRFUWY7PcgyDcPDn81RvzFwyxSJqOU4Pv9Wn8QuD8sV4Ov36a8hof/8f//gTLNreRiKb42bdfLZq+XoH6tipUi0rf+SGGwmGeGzmHX7OzpqyRvKFzKNTHD7sP8unmNbdEOG4Vyi0qPfs0O59qWsM3zrzKichAUV8Ikc+1rMd7WadPUVfnUl5dmPx3K4kei03jg1+6m1gowfP//Bq5zHvb3qyoMps/sprH/+vDeMqLNXBOr4NgfYBzh0pTh77TmOMMsne8i874pQYL04Rm5+zZPfwyIRlNkcvmqWoK8utfewxREtj1k/3vWcrS5rTwwS/t4MO/fd+UovtsQRIDOGyPgAkmeQqFAXL508ST38fjqkCWLgnvCoKGVduAIjdctuzS+RhmjFz+CIYZJ519nXT2onioQaHQh25EyRe6UZWif5skeXE7v8J46HcJRf8IzDxe9x+hKldnDN4r3DLhMQyTZDxNf88EZ471c6FjhEg4QSpRFHOzOzQCQTd1TWU0t1ZSUePF7bXf0Hwun9cZG45y5ng/p470MtwfIp3OFU1BKz3MW1TDwuX1BKu8N4x0FArFfeUmOzPcXjtuj+2GnQbpVJbRoShQ9DgJlLuwXIeN67rByGCEfK6AqskEKz2IkoihG0yMxTl5pJcTh7oZ6g+TSefQLCplQRdNrZUsaq+nrqkM+YqwZlGYySSbyZNJ58ik85w51kdv19jkMU1Gh6L0XEcWXxQFPD47DpeVoXCcH+09jipLfKC9jWr/L3+X1fmjPSQiSbZ9bKLg8vkAACAASURBVC0L17bcsAPCHXAiyxKxiQQD0TCSXeTjTSuxyiqYJkt8NfztmTcI51LvKeGZDaT0HDU2L59oWoVPs+NX7QStzpvSV1IlGROTjF4aebG7bXz8Dx7CYtd44Tuvv2eRFLvLyr2f2cxHvno/3qB7KpVnd1upqC/Wwd1MXcbtxrryZlYGGq5a/ouijXWnkYylyU8S64r6Mj73vz6K02vnjaf3kYjcuaiYIAj4Ktw8/OV7eODzW7G7Zl9GQJKqcDt/C5hUWzcTpNLPE4p+DVmuxTP5NwABGVG6fj2maaQwjBSmkSSbO3TV3y3aakRhujyBLNVhtWwmGv8bLNo6LJNRofcLbulMCnmdI/u7ePlnRzjwVgfpZA5jslPicghiUc9Fsyhs+8ASPvtb27FfpyLdNE0S8Qxv/vwEL/z4AN0dI+iGOY2NC4LAK88eIVjl5YFHV3L3Q0txuq9/80RCSf7sD3/MucnIyGOf28hHf23jDYnSySN9/MnvfR/DMPGXOfm9//Uwi1dcO0eejGf4f//gKXo6R2mYU86f/M2ncDgtHD/YzZP/vItTR3vJ5/WrPocoHaF9zRx+/+uP4LriM4yPxNjz2mn6Lowz0DvBYO8EofHEVJdLMp7hr7/2s+sSN6tN5TNf3sZ9H17BmYFRbJrK45uWocyykNv7FbGJBIZhEqwNoFpuXGAvisXuLMMwyRs6vYliq/VFmGZRc+aib9H7ETmjwFAqSjyfYTgdI1XIcS42QjSfxq/Z8ag2dNNgNBMjns9wLjaCfbIwu9rmYYm3Bos8s2aEBrsfwzT5Wf8xwrkUhmn+/+y9d3Qd13nu/dszc+b0it4bARAgwCqwiUWkJZHqlh1ZcndcErf45sbJvSlffHO/lfZ96bm+cRwn9nWJu2wpinq1SImS2CtIgkQjegdOP2dm9v3jgCBAgCRAgsXLetbiWjw4e8o5Z2bvZ973eZ+XOn8+uU7fnOOFEPizvXzw9x4ktySbn/2v5+g+03fjyIWAoiX5PPz5u9n+2O24vI4ZHj+KqlBYmYfdpZOIJm/MOS0ANkW95ijfrxJi4TipZIbwCEWQX57Dp//0g5TUFPKzrz7HQOfwdT8HRVWoXVPJo1++nzXvaUBfxDTWpZC5pj3YbPWoSoB06vhcoy6zvQMhHNhsNeRk/escXjmCqdK9SaTSR4nFn8Vua8Qw2ojFn8XjfvSGuCjPB1dFeKSUxGMpXnzyIE98fw+9XaNT7+m6hs2uTZX1moZFKmlgGCZG2sQXcF0ySgIZcvLjb+3ihScPEg0nQIDDYcPu0FFUgbQkqaRBPJ6iu3OY737tFbo7h3nsU1vIzrtEh1kpSafNKaIwVzpjzs9pWaRSBtKSpFPGZSdkKSXptEE6ZRAJJxgZCnPqWBff+Nvn6e4YQtVUnC59KrJlpE2SSQMhBEXlWXi8swlgR+sA3/vnV4lFkjOOMx2WZSHk3BetaVoYpsUbp9p59uApYsk0LruNh5rq6RwaY3dzO4Zpsba6hJXlhbzV0kn3yDhDEzFKs/0UBv0c7+onmTaw21TsNo07G6tp7h7gSEcvdk3ljoYqgm4nu5vbCSeSDIxH2LGyltrCxW2hcTXQdA0hBOn0/PL1Y4MTpFIGnoCLEl+IDQ6mvKPOY1t+zVT5982Az+YkZV6acA0lIvxj8ytMpOOMJGOkLINvtOzCqercW9zA/cXLGUxE6IqOgoAjo10oCBKmwWAizCPla3ikfA26qpFld88QPgshCOgufDbHjGmy0pvNhyvX8p9dRzk+1ovXZudztVsvSXjO78vhtnP3RzdTtbyUZ775Km89e5DwSPSq+1pdCYqq4At5WLtjBTt/fSs1qyvn9PURQlC4JA+Xx3FLEp53sTDEwnHSyQvRRyEETo+d+z61naoVZTz7zdfY++IRImPRRU9zqZpKdmGQrb+2ju2PbaSsruiazA0XgsxakcIwOjGtERR1YXOyovjR9WXE4s+QTO7F6diKEHqmTJ0UyDRCuKaOZZq9jIf/N6qaTdD3B0TjTzIR+Vc02xIc+oarNg7NRIgULDlOpixenVoHF7rPqyI8RtrktWeP8P1vvMb4aKY/jttjp7axhLrlxZRU5ODxObFMi5GhMB1nB2g93U8ykWLdltpLprNSyTRP/2Qvz//8ALFoEpuuUttQzO3b61naWITb6yQeS9LW0s+eV09yeF8b8ViKF544gNOl86HfuAPXdeq9sxAkE2kO723l1WeO0t8zypK6QhrXlFNVW4A/6EJKSX/POGeae+jvGWXl2so5b4LsXB93PrByKhUHMDwwwVu/OAVk9AdrNlSRlTv3wqLrGhVLcqmsKKR/LEw4nuTe1UuxpOTp/SfZ3liFx2HnqX3NFGX5ae0fYTwa5/3rG9FtKgfbejAti3A8gc8VYHgiytHOXp49eIpVFYV0j0zw0uEWdqysZc/pTu5eUc32hiq8zsXwk7h25JVmYbNrnDvVS3Q8hucyhmKmYXLwtRPEIwnq1y2hOCuLupyyOcdq1+D0eS2wKxqfrt6EJSXKJZ7Mch1e/qDxnikvnek43/D0Jx37mUgn+IvVD0+KsDOi16+ffp2Xe0/y/rLVrAwW8ze3/Rruaak7v83Bf2/YiSoU9GntKlSh8EDJCrbn10321BKXrdaaDpuuUXtbJcXV+Wx6bxOvP/42zXvP0tc2gLEA87bLQVEV8suyqVtfzeaHbqNxUx1un/OyKe2iqjycXgf0jy/KObyLm4dEJDnL+0kIge6w0bixlvK6Ijb8YjWv/+xtTu1rZbB75JqJj6arFFXl03B7Ddsf3ciSleXYnfp1bwpqWaPE4s8DmXJ0w+ggGvsZQrhxOXYuaF9CaHhc7yeVPMjoxF+SNs6gaWVIK0raaEcIBZ/nMwjhQ8oIE5FvYBjtGd2OvjJT0ZVuYSL8VWyBUjQt05PPNIcxzX4sGcEwu5EyTSp9fFIw7cKmlV3w1xGgKAE0rZJo7EkUJTTp9WNDty1HVRfmPXVVhOfMyV5+9t03p8hOMNvDY5/awtYdjfiDsy3gpZRMjMUY7BunfMncfgNSSo4d6OD5J/YTiyZRVYWN2+v5xBfvJL8wMGNyqllWxLrNtfzse2/y1I/eIRFP8dJTh1iytICtOxtveqfZ8HiMx7/zJvFokrseWMVDH1pPSXn2LA2JaVoMD0zg9c8tXCtfksdv/u49U6+llBze2zZFeJwuGw99aD2r1lXNuf3UcSwLt0PHtCR+l4OB8Qgpw6Q8JzQZuVEZDkexaypV+VnkBzN5WVVRyPG5SRsmJVl+JmJxhsJRIvEkLl2npiCHopAPVRWEPE4q8kLkBS7kdAsqcvnMn3+QRGx+T8k1ayoX1cG1ft0ScouzOPiLZvY8e5jND67JmAtOvn/ebDCVSHN490me++4uLNNizbZ6vEH3ZdMGpkzTFd1HvrOR/vgxClwr2PjAGgoqcrHmqmKSkrFUF6ZM4rXl4y2z0OwzP2skPUDUGCLPWT/nMcU8iISmqHO2d5iOvvgEilDwaHYcioYEokaS4WRkav+6qk0ZiJ6HIpSpUviLz0sX2lVXDQoh8ATcrN2xghVb6ug40cWpA22cfOcMp/a3MdQzgpEykZaVSZlbmU7w0zmdEGJychQZ40hVIZjjp2ZNBUvXVlG3dglVjaXo81x0QvkBPvk/P0D4EhoPS0rORcd5Jd3Dz/eeI24aODUbhW4f24oqqfDN1kZIKbGkpD08xhu9bexydDPwoQLsQqPE42dbURUl3tnausrGUnqTER4/9Tbl3iDvq2pYsF6nuLqA3/7qJ684rqSmAE3XODU6yH+0N7MslMfO0poFHS+3JIvP/tVHZkRVLkbSNPlFrIs/PvDSVEm2KgSbCsq5t3zpvI81H2R8mOYmz0IR+LK8bHnfWm67s5GWQ+0c33OaE2+1cOZQB9GJGJZ5ietOTMoSFJFJh2sKwVw/NasrWLaxhsbbaympLcQ2GWm+vlAQwoFh9jA0+tuTf5MI4UK3Lcfv+zIOe9OFzy00hHAhrkABbFoNwcCfEIn+kEj0h5jWEEI40dRSPK6HARtSWsQTrxGLP43X80mcjs0IoaJplQS8X2Rk/H8Qjn4Xv/e3UBQP8cRrhKPfxZITWNYoYDE28dcowoOmFhEK/BnaZMm5mCxPD/h+l3Dkm4yO/wkCHd1WT9D/letPeIy0ySvPHKa3O5PG8vqcfPg37uCuB1eh2+f+YYUQGaHwZfqERMMJXnvuKEP9EwCUVubw2Cc3U1AcnDVWCEEgy80Hfn0z7Wf62bu7hfHRKC8/fZjlTRWEsm9un5d0ymSof4Itdzfw0c9vJxByz/m9qKpC7hU6uF8PBNwOQh4nb7d04rbrWJakMOjjxLkB1IsIx/lXishoWHL9XoqzA/hcdtx2nSyvC01RUcTsYu1Ajo9tH9hwQz7TXMgpCrLjo5v49p/+nG/9v49zfE8LVctLSU4SsOZ3ztL8TitH3zzF/ldPMDYwzorNS9l436qpbumXgiVNBhLNGFYCXXWTMqNUrMyjbEUOljRIW3HAQlUcaMJOzBhiOGmhCp1sxxJSZhTNppEyo8SMYRShkTAnGEg0Y1OcONUgDtV/XSbKOwuW8s2WN/iTQ0+R4/BiSIve+Bhpy+Q3a7Zc1whW0hgkZpxDoGBXc3Bo+TPKTO1OnZo1lVStKGPbI+uJTsQZ7R/n3OkeBrtGGOkbY3woTCKWJJ00ME0T3W7D7rLjdE+axZXlkF+RQ15ZDt6AG5fPgaqpC/ouVU1l03ub5nxPSsk7A118be/LdHa1o6squqpiyUz0ry6YMzfhAfb0dfLn+1/lXGQch65h216EIaFP01iz8TbW5BbN2s6wLH7eepyvH3+bumAudxRVku1cWFo1qyDAPZ+4Y15jU6bJq92t/Mvxt1mfV8rG/FIC9vlXE/mzvdz5wdsvOyZupGk79javdJ8laRj0xyNE0yk8NvuiE550KnOdXA4T4TiWlDRuWkrduiXExuOMD4fpPttPz9k+us72c/ZUL26HDWmYgMDh0jMGhfl+8stzKKzKp7AiF0/QjcvrvOIcsphQlRBZgT+bdEOeBqGhCA+K4p8hHnbYN5Gb/W1U5fImskKo6LZlBP1/gGWNZdyRhYoQjsw+J1tCOOy3k5f9Q1Q1DyYbKwshsNvXkZv1LRAaQmQeppzO7dj1VcxZ7yk01ItSb0LYcTvvwWFfh5z0GBLCiapcugfipbBgwtN9bphj+zswjYxB2bJVpWy/bwX2eYhCL4fB/gn27m5ByswXtWVHA8Xll845CiHw+p3c/dAq9r2R2a75yDnONPfStMlz06M8Hp+T+x5puiTZuZEQQlBTkE1yMkWgaxoPr2vgrdOdRBIRHmyqJ+B2sqwkD7vtwiVRkRskbVoUBH3k+N3omkZJdoD8gJdDbd2YliTocRL0uNi4tAy/69ZIZZ2Hoijc9cGNRCfiPPnPL/Pcd3fNeP9vvvCtCy8ENG6s4SO//xAFFfMr7x1LdSKlxbLAQ/TGD+PXS0hbMRLGGP2JZvKdDbi1bGLmCOF0HykzSshewWiyk+HkWXx6Ef2J4wwlTpPjqEUVDiLpPgbiGYfsWv9OBIs/aW7Lr6XQFeDYaDcT6QSaorI+p4LlwWIKnNeHZJ3HYPwXDMf34LZVkTIHKfN/ArdtdupQ1VQ8ATeeQMYTZ2nT3FFMS6ZJGH3Y1WxU5cYYQlpS8r1TBzk20s+mgnIerV5OyO4iaaYZTyWpC84dxU6aBt89dYATowNsK6rkA0uW49MdJMw0kXSKmsDc850iBCGHE5/uoMDlxblAUflCoQhBtsOF1+agwO3Dri5+lY1D1fhC43o+vnQ1w4kYXz26h6fbTy76ceB8y5HLj5kIJzAME5/XgW63oefaCOT6KKvLENDRsSg/fmIfD927kvzcW6/CVQgNTSu48sBJKIpn3o1EhVAQ4vLjVTWEOkfFV+a8SmaOVYKoyuxAxuXPQUdT8xe0zVxY0JUspaTz7CCDk1EYm66yYVvdouhmWk/3ER7PsLdglpua+qJ5MeSK6nzyi4L0do0SmUhw9lQvK9dW3nRTvpr6QorKsq5q8ZBWDCnDKOri2I0rQlCVP3MyzfV7eLBpZuqkrnjmQl+WM/Oi7Dk5yJnuCLdtWMKS/AvsemgwjBhI4izLfOdtZ/p5/qlDVCzJY/vORmw2leZjXTz7xAE2bq2laWP1FW0Jzp7u49SJbrbvXI7jGsi00+PgfZ+7i9rVFbz607c5tb+NeCSBkTYRIqMhCeX7Wb9zJZsfvo2Cspwr73QSbi0blxZkIt0zqZmRWDKjFdAUnTLPBkyZZizcSYFzOVFjCEuaBOylhI2MaVxAL2Ui3UvcGMVjyydor6DCs4WT4/+JnBToLTY0RWVZoJBlgYU7lS4Gsp2byHffS/v4vxFNnUETLjTFi6o4SJpDaMKNEBpJcxDLSmJTg9gUP4aMYFkJDBlDETbsai6R1Fn6oy+Q7bodl1aGrmZhWGFS1ggKNuxaDsoC++1cCTEjzemxQRQh+PW6NWwrqppXyieSTnF6fAhVCD5d38TG/LJ5zQ9CCDbkl/H9ux7Dq9tx265vhY+qKOworaExK5+g3XldCJYQAl3VCKkaTs1GwH49H5YybEdKyfBodMrqIxBw4fU4iMYybSGCfteUFUE6bTI8EiGVNvFOryiWEI5kyJHf55oqzlkoDgyfw63p1PhyF7xGvNRzirXZpfh0J6PJGM90HacjMsoX6jbPmXJ+FxewIFZgmZKec8NEJxvwOZw61fWLM2m2ne6b0j4Esjzk5F+i4uoiuL0OCkuzpirF2lr6SSZvvgtxUWkWXl/m4pMyhZU+BjJKRmjgReBCaGVY6VMINQtpnAF0FG0JZmo3ltGO5rwfoVZck7PkYmJiPJ75jS56WsrK9hDKqpr6vcorc1nZVEF3x/CUmr62vojWln6i86x6ScTTDA9G5tbDLADnq4FWb6tn5ZaljA9H6OsYIjoRQ1EVAlleCipycbgz2o6FTD4O1U+Raw3nou/g1IL0x09ManQKMvbnqKgC7KqXgcQJ0lYCj5bHSPIsY6lORlMd6Iobp+onnO5HU5yo2G5Z/5fFg8SUMQwrgqo46Zj4Dnnuu/HbGzk38SOynZswrDATqRNILKS0KPd/jMHYa4wnj2BXc9HVEPnuHYwlDzKa3A9YBBxRAvaVdIV/giGjICU+ewM5rq0oi+gFEjPSJE0Tl2ojy+6at+92NJ0ibZq4NBtZjvl7sAjApdmoDc6fjF8LBODV7dTqN+Z4NwrptMl3f7iHUDCjS9RtKo+9fy0Dg2F+8uQ+aipzuW/HChRF8Na+Vo6d6Mbl0llSkUtdbQECGB6NsmtPC0WFQdauLke5SnuAlaHiq/4c2wuqp9zeA7qTe4rr+eqJ12dVlL6L2VjQLJA2TMZHY1PhwUDIPWc59dVgdDg6tV+Xy457ng6Uuq4RzLoQahsdimAaN98nxeW1Y9MnbwaZwEofRlrjCCWItMYQahGamoeZ2oOiLUEaLSj6GhA6GQGaF4SXy/kk3AxIKRnoH+fQvnZWr61ACMErzx3F4dK558FV2B22jO+SImacunL+b5MwTYuTR7s4uK8dIaBp4xJKy7N5+40W2s4MYBoWmr54RE8IgaqphPL8hPKuPSStChtV3u14bQUoQkNTnMSNERSh4VD9ZNkzKRhFaOQ7G4mkBxBCwa56SVsxnGoIpxpEFRo+WxEheyUONYBppdCEg0rvHSiLFN1JpwzGR6J4/M7LWkLcKPRFnyOSOoPTVoxXX8pQ/I2pCJnEwpQJ+qMvYGGgKyGS5gBJcxApTRxqHmX+jwMKilDJdm4mnu6ixPcYDi2fieQJkuYw1cEvEUu30xN9mqBjFfq0cLslJQPxCG/1dfJO/zkGEzFcmo26YC7biiqp9IWwTSvHT5kGu3s7eLOvg+F4jP54hP5YmJRl8j/3voxPvxDh3lZcxaNLluPUbCRNg9e6W3mn/xzDiRi9sTCDiRiGZfH/vPXCjEjNztJaHq5ahmNa+uj5ztP8+MzRGb5Plb4Q/2PtnZf9fqWUpCyT9olR3ujroHl0gLFkItNA2OFiaTCXTQVllHgCU5EpKSVPtJ3gidaZXi0rsgv4nZWbL3mstGXSF4twcLCHw0M9dEUnMCwLv26nNpjD1sIKqvxZt4xvUCplsP62SkqLQ3zj268zMBimoiybtavLCYczjUUN0+LgkU4eunclpcVZWJZFOJIgEk3yn88fZkNTFevWVFwxSt0aHuLN/jbG0wk8mk7KMnmwtJG++ARPdhzhrqKlrMspx7BM3uxvY99QJ3ZV4+6ipZS6g7zce5qTYxmfrPtKlpHlcPNabwtHRnr4VO0GchwZ6cZ0N3QpJcPJKC/1nKI3NkGpJ8iOorpfeqPUxcLCIjyGRWzaE7rLbb/ijz5fxKKJqVJazaaiz+GPMRdUVZmR8ohFk1jmzX861i4WSQoXQlERaj7SGgMskGnAQNGWYMkYVroZoZYhJoVfi5XSWkwMDkzwynNHWb66jFC2B0UIGlaWsmfXqXn7GwGEx+M88+RBauoKiIQTvPTMEbbtaODIgQ4efmwdxw510tE6eOUd3SQoQsWvZ/L7fj3ztObWpovoLiywdtWLXb20kN41fbvJdcGnzz8ffyV0tQ7yj3/8OI99bjvrts9dAXYjke3aSoH7HlThRhEaAg3TimFaCVLmCCBRFDs5zu0E7CuxZBJdDTEujqGrIRRx4X4XiMko0CQpEAoZrw45mRLMjDoPKSUnRwf5+8O7eaO3A5dmw6fbSZoGL3ed4YnW43yhcQM7S2umSI8hLc6MD3N4qBdTWiRNE2tytoqkk1jTQp4JIz31Km2ZnB4b5PBwL5aUxI3zXl6ScDpJWl64XxJmmouFJpqioApBzDIZjEc5Mz7MWPLS3b7PI2ak+Xnrcf7Pyf10RyZQFYFb0zGlRdRIoyD4w9u28egSH8q06LEmFBQhiBsGvdEJOiJjqFcQsA/EIvz+nmc5NNiLTVXw6w5UoTCeSvBsxymebD3B76+5g9vzy1BvkP/M5SDJOO9LCZa8jDu1ZKq5sJSZf6ZpkR3y0HFumBXLivFfxuwWIJxKMJqKEdBdRI0kDtVGW3iYVVnF7HcHGE3GAUnSNDgx1keh28/qrGLynT6iRooTY33U+HJZFswn5HDjUG1sLahm72AnSXNubzELyXNdzXTFxqjwZPFGfyul7hBNOaXz+36kCWYX0mwFmUIo2aDVIuap97nVsTAND7MdjxcLV9uQUXJtvX0uB+ua0grT0yMC0EFIwIZQC5DWMEbyBZAxpDWElOFJhX0SIQKY6V9gakUo2rJbJqUF0NE6iMtlJ5jlmSJ1TtfC/SVisSThiTg+v4tAyE3jylJSSQObTaWwOMjQQJieaYaWNwJSSoy0iZEysLv0G2YQdr1hGibhsdgsL5KbAYENm+LApvgnr2tJ0LGGgdgrjCePIaWJKlzkue5kKP4mE8mj6Go2xd5fQxE2LqbUmuJFV/10hn9AyLGOoGM1TlsJreNfBwQhRxM2JeNTJaWkJzrB3x7axRu9HWwtquB9lQ3kuTzEjDRv9XXyg5ZD/PWh1/HpDjYXlqMIgUO18f6qBu4uqQZgJBnjS7ueYjQR48srN7M0eEH75tXtU1Eap2bjseqVPFCeIZk9sQl+Z/fTRFJJ/vvqO6icVsnl1x2zbADuKKpkXV4pcSPNq91n+W9vPnvF71dKydMdJ/nrQ5kUxz1lNdxRVEmWw4VhWfTHI7SMDbM2t3gWmbmnrJY7iiuJp9M83nqM/+/A7KaOFyNgd7I0kEN9MJdV2YXku72oQqE3OsG3Tx7gnYFzfKt5H/XB3AVXll0PWJbFW/taeePtsxTk+cjJ8fLW3rO8vb+NZNLA4dTZ0FRF0+pynnvpGA67jeoledTXFpCd7eXubfWcONnLK7tOsvPORpxX0Bdm2d14bHZ8NjumzJAbu6rhUG1TK55TtbG9sIbDI9281H2KzflV1AXyubtoKcdHe3m+u5mdRXVU+XJwazraZeYl07LojU/gUG34bA52FtdR5JpnRFtKSL2FGf23jA+OcCBlHMX7u6BUz/MbvrWxIMKjqgoO14UwbDyWnGLB1wqXxz75tJZxLE7Nc3K2TIvktAaELrf9qoVkFyOVNBaHTQk3muN8GFol8wSaAmmRMXNwINTiTNmg8INiobk/MelieWstug0rS8nN8/P6yye4697lKKpCZ9sQI0MROloHqazOY3QkSnfnCAN945xrH6K0IoeB3jH6esaw2VS6z40QCLgoq8xBUQTBkBuvz4XTlfEK2vvmGc51DF+xlHSxYaZNdj25j5d/uIcv/d1HySu9+W7RtxJ6e8fIyvLMir4ODEyg6yqByxg7nkee+z2T/zt/XQuynOvx6jVkHhI0NMWDQMVtq8KSSRRhR6CR7dzMxTekpngp8X4QQ0bRhBtVuCjyvJe0NY5AQ1eDUw8MhrR4raeVXb3tLM/K54/WbKPI40eZ1EytyC5ACPjG8Xf47qkDNGTlkuVwowhBlsM1pbtxxW3YlEw0JN/tpdw3d8WJKhRynG5yJhd6IQTa5HaFbt8lt5u+vcem416A5qc/HuH7pw8RTaf4VH0Tn65rIuS40PHelBZJw0BXZ1qICCHQhMCr2PFo+rzL0F2ajf+y4nY0oeDUbFP7bMzKx23Tadk9xMHBHkaT8VuC8Ng0lc0ba/B5HXg9DmyaSv3SQsrLskGC3a7hdNhoWl1B9ZI8TMPC5dJxu+y87/7VuF062SEv8UQK+zxS7hceeTNtdyWS9vAw3bFxJtIJOiKj5Dq9TKQSFLr8DCeitIaHqfLmEDNSFLkC9MYn6ImNU+Dy0xEZYSgR5dR4P07VhqYonBrrZzgR5eR4P8uCBTQECmiPjJDtcGNKiV+fn+xEWoNY0W+h6KsQzkdA2DO6U2VSyyUlwWhoTgAAIABJREFUUobB7EDKOEIJgVo6ZRIozWGQE6AEwOgEUqCWgJINZieggzUAal5m7bOGQKtEKH6kTIPZA9YwEgMhgjBpQChlEoz2zH6tgYxBoZINasmC+3QtaLSmqTNM8sZGosRjqQUd8FIIZXsRk14v8WiKyEScrJwr++mkUgZjwxfMwQIh95SR1bUiMnHl8PF8IIQyqce5zBimTwYqQr31Oh8vqc1HSklxWRZOl04qaZBKmaRSBjV1hQwNhikuy2JkKIzdoVFUksXQwARFJSEG+ifIzvUhgKGBCfIK/Nz/vjUc3t9BZ/sQtfVFZOd4ufOe5bS29FFYHKJhZSk2240Tn5umReepXg7vPnVDWgqMDoY5uKeF3s4RhICc/ADLbiunsOwC0YpHkxzac4a2k70oqkLdylLqVpfPEOUnE2mOvHWWluNdCCGoXV7CstsqLmkVIaWkp2OIN188zpL6IlZuXDKvCN3wUAS/3zmL8Ox+/SQ5uX42b6m94j60OULjitBxaLNLTu3aTMKpidkLphACm+rHhn/GOE2ZPTaaTvFadxuWtLirZAkl3sCM/bg0Gw9W1PP42WO80ddBd2SCLMfNX6QXgr0DXbRNjFLpy+LhymVkOd0zYueqUHAtYpWXEALfHAuqIgQNoTx8uoPWiRGSZiadd7MtOgD8Xgd500rLfV4nvos0o6oKOVkz52z/ZBGKpmWI0ZVQ4PJjU7Up/ZKUEruq0RMdp8jlRyDoj4fJsruJGEl6YmOUeoJszM30axxNxhlNxVgeLGRlqJikadAWHmFVVjGjyTjjqTh21UZfPMya7FIG4mEqvFlsL6xh71AHLRODC6rakul9mepg56PT1p8LpFzKMazI18BsJ2M4GEM4349w3gcIZPodZPwZ0CrB7AIZQTjuQ9i3YUW/BTKZITzCM0mKziIcOxHuj4M1hBX5hymZh5QTCNevIxx3gjWMFf6LzDZYIJNYMonq+S3QV7MQnevCIjyaQkFxCKdbJx5NEY+laD3dR2nltav5q5YWZLqLWyajwxGG+icorcy54g0SDSfo6hyael2+JBe746KPJcQMrZFpmPOqgunpHJ7Tov9XFWXTfucVa8qn/l+xZCY5q19eQv3ymd4Lq5oqWNU0s/FqXkGAu++fabxYW19I7SJV/i0U0pLEI4tDcq+EkYEJvv7nTzE2FCG/JEQykeLo22eRyCnCMz4S4ftffYkzx7vJLQqSShq8/vRh7nzfGh786O1oNpXweIyffP1Vju1rJ68oiGGY7H72CJvvXc57P7F5lkhZSklHSz/f+fvncTp1Nt7VMON907QYHYkSjSXRdY3sbA+KojA6GiUQcGKbtIowTYvh4QippEEsPr8u6TcbCdPg9NgQqlCoD82tj8txuCl0+zgXGefM+DDLsxdPS3W9IaWkdXyEcDrJlkAFhS7fDSl5OC+SnkgliBlp0paFKS0iqeTUPGveAlWHmqbyscc2ErqMAe5iItfpJdc5+0G3zBNiQ14F4USSZ4+c4lhikJFIjK21ldRm5fDcoVN0DI/hddh5ePUyfE47L584y6neQSwp+fD6lWiqwkvHz9A3HiHP5+GBFY0E3RfIzaa8KlioBNQ4h1D8oISQ5jms8N+ANYhw3Ifi+hAy8TKY51A8vwtKFjL5IjLxBFJfgVAz870021Ac2xGujwAShJNMVkOCmo9wvhcZ+UeEYyfYGpGptzPvKSEUz5dgMqthxf4NmXwJHJMRYRkGUYTi/iwgsKJfx0q+hGKrR8xqanppLIjwCCEorcwhK8dHV3SIdMpgz2vNbNy2FN1+bV4NlTV5BLM8DPaNMzYS5dSxLhpvK7+ieLmtpZ/+Sddnl9tOVW3BrIaAqqrgnJaKGxuNkU6blzVLTKUMWk70XD+B0FViOnGz5mGo9S7mD0tKYuEbQ3jaT/fR3TbEJ768kzWbawCIhRNTrTVM02LPS8c5tOcMn/vKe1mxvop0yuSJb+/ihZ/uZeXGasqr8zj4ZgtvvHCMz/zB/azbVo9hmDzzw7d4+t/forGpkmW3XSCZiqrQ0z7Et//2OVweBx//nR3kFARmPFSkUgaHDnXQ2zPGxEScLVuXUl2TT8vpPp55+hCf+8KdFBQEaGsd5PnnjhAIujjT0kdx8eUdWyFja3DocAdDAxM4nTr1DcUUF4cWrfDhSkgYBtF0CkUIgpdI2Ux/bzgRm3PMrQpDWkykklhSErA7rrtfD4AlLQ4P9fFS1xkOD/XSFRlnPJUgYRqkTRND3jql0ooiyLtE38GbAdOyON03xMYlZXxs42oUAUnDJM/nwWHT+MWpds4ODGPTVM72D/PpLU04dQ1FKHz/rUO0Do5QnZfNO63nqMgOsqmm/JrOR5Im45IsQGQhXB9DRr8G5kDm/dTbICPI5GsgBNIcRJrdSKNrivAgPAj7NoRy4UFWWpn7SKilCLUYqfgQWjXS7AXSZBZZFWQSmT4M1jiY3SDjTF+AhX0rqEWAidBqMmNlapJUzQ8LzheUVuSwtLGYnnPDWKbkyN523ni5mc13LUPVlKsOWWbl+li/dSn/+ZN3kJZk14vH2bBtKeVL8ubcp5SSaDjBi/9xcGrRr1lWRNXSglnjbbpGdv6FEOaZ5h4mRqOXLKm3LIvD77TS0TpwVZ/lesLhzHRcN02LRCxFeDyGZclF0y39MiIWSXB8z+lr1pMlYyl6227Mb15QmoU34OSZH7xFOmlQ3ViMP+SeMtuMR5Oc2N9BINuLx+ek79wIAHlFQUzD4szxLgpKQjQf6MAbcBHI8tDXlRmTnedHKHD6aNcMwjPcP84LP92L2+PgY7999yyyA2AYFolEGk1TGBmJ0N09QkNjMRs2VnPwQAeQIdqnT/dSUZnLnXct49+/98YVP280muSb3/wFr7/WTDicwKZrVFTk8MXfuou6+tntFK4HVCEyLVK4fMTh/Hu3QlXRQnH+55RSZqIr1zGFZFoWL5xr4R8Ov0FXdJy6YC47SqspcPnw6jqWhL89tIveWPi6ncMvO/wuB/kBL7qW6QB+ur+f/R093FFbgdtuw7QsjJSFz2nHqWf62xmWSTiRpCTkp64gh7qCHMqzF+ZcPBeEEkLKCGAgFBdCX4kZn155mmCqjFRKhJKNcH34AtmBjO6HSxDtKb2NyFRTCpgyhUy+hoz9AKGvzpAa4QV50cOn8E7qfMW0asyFYcGER7drbLtnOYf3tjHYN87ocITvfu0VJJJ1W2pxe+YmEUbapL9nDNOyKK2YnQJzunS27mzgwJ4zdHcO09k6yI+/uYuPf/FO8gpmNg+VUjI+GuPJH7zF0f3tAHi8DrbsaJizc7jDaaOqJh9NUzAMi3Otg/zihWM8/OGNOJwzozyWZXGmuZeffvsNxoYjC/16riuEEDjdOjkFfvq6RjEMi727W1jRVEkg9MulNVhMDHWP8Fef/bdrrkKSEtLJNOIGLHR5xUE++qW7efFn+/jBP72M021n085Gtty7HH/Ig5EyGB0O036qj7//w59MVYyZpommqwgy5bWjg2G624f4X1/5+VSkxDQzbV+m3zOWJXnpZ/vpPTfCfR9cTyBr7vYr3V0jtLYO8NgHN5BKm5ckkUIIDMPKLKzWlWsljx/v4s03TjM+6aaeTKQ5fbqXl148fsMIj13TCNqdTKSSDMbnvrdNaTEUz2gCc28Bke1CoInzZeGC0WSciJGat2D1atAXi/C9UwdpD4/yWPUKPtewDr/uRFUytpvjqQT/dGzPdTv+LwOkjJNOvoVlZR5GVFstmlY3JaQXF/UgNC2LWCrFQDhKJJFCVRSKgj4Odvbw3LEWdFWlqaKYVaWFHOjsYSgSQwDVFznpSymxrH6M9FFAotkaUZT8ywYkhFaPJZ+A9GGwNc2WxqglwDDC9YHJ1BNkBk3XzF5ltXXylYyA2f1JQEMabRm9z8wzzBD4a3iuXTDhEULQsLqM+x9p4of/9jrxWIqecyP8y18/x55XT1K3ooSikiycbjumaRIej9PXNUpH6wBd7UM0rCrjM1+e3aZeCMHSxmLuf3Qt//71V4lMJNj98gmGB8NsvquB2oYiPD4niXiK9pZ+3ny1mf17zhCPpVBVhU13LWPznfVzRjo0TWXZ6lKKK3Job+knnTb5+ff2MDoUYd3WWgqKglhSMjIY5vihTva80kxLcy85+QFGBsMYt4CR4XkEQh4aV5fT3z2GlJI3X2lGt2tsvbuBnIIAiiJIxFNEJhJEIwnKq/PIm6NBqWla7N3byssvHp/jKLOhqgJNU3G6dHw+Jzk5PoqKgxQVBXG57Oi6etPKuC1LEoskQUrs8+yGPReklBg3SFSpKAp1q8uorCuk/XQfB3af5j+++wbh8Rgf+sKdKKqCw6lTVVfII79xx4zqSKEIcid/a4dLp7Qql8c+/x48PueMMdPJvxBQu6KUrfev5JUnD1BcmcPW+1eiXSTw9/mcSEvy/LNHGB+LUV6ezeholF27TtHRMchzzxxm85alLK0r5MUXjvHjH73N+Hgc+xVS2r09Y1PGbudhmZKO9sE5xaxpyyRupNEUBadqu6rf1LQskpaJQ9VQhMCp2lieVcDZiREODvbMagkhpaR9YozeWBi/7phRNv7LACEE1YFs/LqD5tFBOsJjNIbmjpAvBgbiYdrDo2Q5XNxbVkue64JeRUpJXyxC3Pjl0HddDlJaQDpTSYQJM/yd1MlKIVum791F37VljRMN/y1G+gAATs8X0bxLABWXrnP3smry/BkhvxCC+oJcTEuSNk0+fvtqSrL8hFwuHl69jLahUZASm6qwrqqEgNtJ/3gYl67PMMrMnPME8cj/JhH7CQAO16/h8v4eQlymRN1Wh7CtwYp8FWG/CxQX0jw3FcFR7HdjRv4KK/Y9hFYHk9EgxXE/cI3GhmoepJuRqXfAHIL0oWkRocXDVe1Rt2vsfN9tJJNpnn18P6PDEcZGoux+6QR7d7eg2zUURUyZNaVTBqlkRqVfUX3pBmCapvKe+1cQmUjw1I/eZmIsxpH97bQ09+CcTOWc74MSi2ZK4nW7xoZtdTzy8U0zJvyLUb4kj50Pr+YH//o64yNRJsZiPPP4Pn7x/NEpzY+RNonHUqRSBsXlWTzy8U38+Fu76OoYvpqv6brA7bHznvtX0HzkHF3tQ8SiSV548iBvvtKcEZQKgWVZmKaFw6Hzm7+7c07CY1mSzo5hXnl5foQHMveyoiioqoJt0hzSH3DR0FDMbU2VLF1aQHaO96ZVYqzYspRH/+u9OFxXd/Mlokl+9HfPcHj3qUU+szmOFUshBNidNmpXlFBSlUtPxxAnJiOWTred6oZidj17BF/ITeVkqlbKDLlzujJd7qsbimk+2IHb62DpilKEcmHM9OilEIKGpgrWba8nFkny5HfeIJjtZcWGJTM0NHn5fj72ic2YpoWmqdjtGjabyubNtaxfvwRVUXB77Oi6xgceXYdhmGiT5OxykFLO/WR2iUulOzLOj84ewaPpfKpuLQ5t4VNVe3iU58+d5qM1q/Hqdlw2G3eWLOHFcy281HWGu0qqaQjloSoKUkpGk3F+fPYI48k4O0prKHTfOnqP+aIpp4jqQDb7Brr44elDBBrWUzxZeg8ZnVo4lcg0X7bZr+leVYSCKpSp5qfniauUkvFUgp+dPcboPIwSb1lIiWn1YaZPkk4fxEifwDJ7kNZkik5xoSjZaGoFmq0R1VaHqpWjKPO7bnRNpeaiyIzLrrOusmTW2PLs4Ky0VUNRHg1FcyuTpRUhlXwzU0YOpJJv4nSHQbk04RHCjuL+JDLxDNI4Bigo+lqE/Y7MAFsDiud3kMlXkMkXQLgRtjVMRXiUbIStAS72jRMqQlsCSi4IB2j1GSNeEQKtLrOp8/1Y8kfIxPMItRDh+hAYbWSiOnawrcgIqjM7BKUAtFoWSmGuivAIIfAHXTz6yS2UVOTwwhMHOH6wk1TKIBFPkYjPLlUXAnwBJ0Wll2/p7vO7eP/HNpJXFOCpH77NmebeTEVYdOY+hcjofnY+vJr7HmkilH35sm9NU7n7oUwJ2xP/vof+3jGMdKZVxnSoqsLyNeV88DNbKa3M4a3XT9HdOTKZHrjM5CAEymQvJiGuX+pcCMHy28r52Oe384N/fZ32M/0YaZOxkeissR6fhWEsnmjwPIE1TYtUyiAaTTI6GqW9bZAXXzjKihWl3PfAKprWVqLr2g0nPnml2VSvLMd5lc1s45EE2YXXngufD47tbWXv66coKAnh8joY7pug5Vg3G+9aBmR0Z7fvaOTo3la+9f8/w5rNNbi8DkaHwoTH4nzwC5mITtPWpRzYfZrv/N3zNG1disfvZGw4wthwhEc+cwehaVEeRRHYHTYe+MgGBnpG+dE/v0Ioz0fZNJ2cqioE56hiCYVml5MHAvPvB5Wb68Pt1mf4aymKoKw8e87rpNwX4s7ial7rPjtVKSnlhZrJ6Vtc6m8py2Q8GZ9yQlaFwvr8Uh6qrOfHZ47yx2+/wAPldZR5g4TTSXb3tvPSuRZKPAE+unT1dU0HXQmGZRFNJ4kaaWJGms7wGABxM03z6AAuzYZTs+HWdFzT/G+ynG4+sXQNZ8dH+OnZY3RGxlmfX0Ku04MlJf2xMC1jw9xdWsO9ZTVok4tT2jKJplNE0yliRpqeaKZBdDid5OTU8XTcNh3npIdPodtHlT+LXT1tfOvkPuJGmlynm4F4lNd6Wtnb30VAd9A/R/owaWYE5FEjzVgyznAihkQynIhyenQQpy3zudw2fUa7jRuBDDmPk0q+QiL2I9Kpdya1LRfBzMR70rwGKChqEXbHDpye30RVb06l6RSEilCm3/tZIK5cWCTUnEyZ+FzvCQ2hrwF9zZzvK3oT6E1zbGdHuD8x9Vr1/pfJ/xQh9OWTxy1G9X557uMqWai+r0zbn4pwbAe2X/HzXIxrupLsDhtb7m5gRVMF7WcGOHGok87WASbG4sRjKTSbgtvrIK8gQEVNPjX1heQXXXlBcbntbL93OY2ry2g+fI4j+9vpPTdCPJ7CbreRm++ntrGYxjVlFJZkXbbaajqcLp17338bq9ZVcuidVk4d62JoIEwynsbh0ikqDbGiqYL6FaVk5fqQUvLZ/3YvH/nsNjRNJSf/0uzY43XwR3/9aMasEGb091psKIrCxu11VC0t4Mi+NpoPn6O/Z4xEIo3druHxOsktDFBZk0f9itlPC9cDyaTB3r2tnD7dxz33reR977uN0HX8DuaCN+C+JvG2UATOS2jQFhvZ+X6Qkv27TmOaFi6PnXseXcuW+1ZOjSkszeKzf/Qgrz9zmCPvtGKkTTx+J8vXVU1d8zmFAT7zhw+w69kjHN/fTjpl4PE7qV99gfjZnTpl1flTEVBf0M1jn38PP/ynl9nz4nEKikPYr3OPrcblpdzWVMWbb5wmFk+h21SWVOezY+eKeW0vpeTQUC+v97YRN1I0hPLZUVLDm/0d7O5tRwBbCyu5LbeYZzpOcWykD5uizqoS8ukOvti4Abem81R7M1879laGLEy2GViZXcjnGtazImt28cONxK6eNv7hyBuMJROZlhDpTGqobWKET7/yOKpQUBWF2kA2f7Fh54yqs+3FmUa+32rex8nRAQ4N9aCcp4MCXJrOHUWVTKeIz3We5uvH3iaSTmFMlpQDHBnu41OvPI42ebzVOYX8+fod6KpGlsPFZ+qbmEglODzUy4mRAeyqhioE2Q4XX1q+kSPDvfyfkwdmfb6vH3ubp9pPkrIMDMtiLBnHlJLnz7Xwdn8XqiKwKSr3ltVetpfXYiOjfeklHvlnErGfIeUYFyi1DaF4EJPpG0kaaUWAJGBhmV0YxtlJw9ibC0XJwuX+HAnhA6HhdH0sQ3p+xXHN1FlVFULZXkLZXlavr1qMcwIyEZmC4hAFxSG23ze/SfFKEEKg2zXKqnIpq5qPsZ8gN99P7mWIznmoqkJx2Y1z5tU0laLSLIpKs7jnfbct4n4VsrO9Fxn+SUxTkkoZRCIJEom58/JSwthYjJ/++G0SiRQf/8QWvIvUXPZy8IXcPPiZbazYXDtV5XQ1EIrAdQPOF6C8toDPfeW9VzyfooocPviFSzeLFEKQXxzikc/ccckxJVW5/PE/fWzGNoWlWfzOX35gwed9tfB6HXz28+9h9Zoy+nrH8ftdNK2tpKBwdrp1LiQtk++dPkC+y4vHZueZzlMszyrAZ3NQ7c+mOzrBi10tlHgDvDNwjt9buYVjI3080zkzPSmAHKeH/7pyE/eVL2X/YDcjiRgO1UaVP0RTbjF+3XFZsuPSdD5cs4poOkWec/6k3q/b+WjtKpKGcUXn5Hy3l+3FVSSMywvx81we9Isac9pVjZ2lNazLLeHgUDdnJ715FKGQ7XBRG8hmWSgPddpnLPH4ubNkCakruJuXegNTzSoVIdiQX8o/bH6AN/s66I2Gp1ykm3KLKfb4qPCFcGn6LAF4XSiXlGVetn2PIsQl/ZKuDySW1Ud04k9Jxp8hUzINoGPT12Cz346m1SKUEAKBJccxjQ6M9HGM1F4saxiH69dQlPld09cTQtiwO+/G7rz7Zp/KLYUbGyu8yUhEkzz/ndfR7Rp3fGDDDXua/2VCdo6Pz3/hToouisRZUmIaFslkmuHhCKdP93HkcCcd7UNEL3IlTqdNXnj+KKWl2dxz7/Lr7pYczPXz6195P6qqzKhMWig0TaVxQw3JeArvHCmcd3FtCARc3L1j+VVte97TpTGrgBynmy2FFbg0G99sP849pRmH55FElKRhoAqBV7fj1x3YL9Gl26aoLAvlsewqFlSPTefT9bND91dCwO7kN5etm9fYumAudcFrc1sPOpxsL17C9uIrj12ZXcjK7IWnYYQQFHv8fGDJ3L/rqpxCVuXM3u9dJdXcVXJr9WeyrAnikX8hGX+O82RHUUtxuT+F7tiBohbM0cpAYllhLPMchtGKbt90w8/7Xcwfv1KEZ3xogqe+/hLly4rZ+OBt7xKeOWCzqRQWBSmfwzoAzvt7wIaN1UQiCd7ac4afP76P1os8i6KRJE89eYBVq8oouYJu61ohhJhlNnk1UFSF5ZtrWbax+oa2tHgXs9EyNsT+gS5ax0d4p/8cTbnFrMkpon1ihJRl4LM5KPMESVsmfbEwPdFxbIpKtjPTrPHHZ44QSS9O25vrCSklvV2jtLf00bC6HN8CdFFXQiSc4Oi+Noorsikqzf6V9uq6MiSpxKskYj8lk6ICRSnE7fsj7I67EdguIcwUKIoPIepRtaXcar0P38VM/Er9OmePdDLaP45l3jrun4sNy5Kk59k642oghEBRBLquEQp52HnPCj77+fdQNkc679y5Yfbta7su53E9IIRA1VR0u+2aIkXv4tphU1SWBnN4uHIZXt2OIgQPVzSwOqcIj6aT43Tj1e18rGYNPt3B9uIlPFq9Ap9u58M1Kyn2+GnKLeYjNatxadfmAn89kU6bvPnyCb76Z/9JS3PPou67vaWPf/rLp/nFc8eu2aPqPKSUpFMGyUT6us0xNwOm2U8i/kOkzLj2C+HF6fkN7I67JjuHX34+yBSrqAvSfUlpYFkRLGsEyxzK/LNGkVYUKa/fHH6tWPzzlkiZntzn6OQ+B7HM4cxrK4KUBovRVuBX5jHWsiTN75whGb/+TSFvJnqHJ+gZGmd1bfGMHP31gqIIVqws5YGHVvPNf32N2LRmsoZhcmB/Gw88uGqW38u7eBeXQ7kvOKubuANYmzdThF8bzKE2ODMaWeIJUOK5+TqK+UBVFSpq8tmwbem8CjoWguxcP+u21lKzrPCatG3TIaXknd2nGR2KcNeDq+ZdMHIrQ0qLdOodjNQRMgJlgU1fh8P1foS4Rn+ZiyA4bw7aSzr5JqnkLkzjNJY1lqmCEiE0Wy26fTM2fV2mK/gV5nEpDYz0cSxr6JJjVDUPVatFzKNSK7PPFEb66OR5ubHZGkE4sawB0sk9pJO7MIxTmfdREEoWmq0G3b4JTV+LquTN47wlUo5iGm0Y6aOk00exjDYsawQpkwjhQFGCqFolmm0NNv02VK1yyrTxarDohMc0TA6/3sxbTx/En+3lzg9tIu8SYl4pJZGxGC9+bxd9bQNUr67gjkfWY5tmYialxDRM+toGOb7nNH3tgyQTKTx+N2V1RTRsqsUX9Mx6IpdSEhuP03b8HN1n++k508fuJ/aSThq0Hu3km1/58aybtaKhhB0f34oyR28fKWVm2yMdnNrXynDvKKZpEcz1U726gupVFfxf9t4zPK7rPvf9rV1mT58BMOidAEEUNrA3kVSlilUsO5Yl24mTOLbT7DjJyXOSJ/fmpvqcJE9O7NhxchInceReZPUuUmKTxE6wAyQAEr1jetntfhgQJAiwgSAl2X4/kJg9e6+9Zs2etf7rX97X5b3AaxGJp3jz4GkGx2JUFOZw25J57GzpYFldKXkBD28dPMOCygKOnOnFNC0Gx2KsaCintiyf1/acQpIEo5EE6xZWUVGUQ2vXEHuOn8PrcrBpaQ1el0ZLex+j4Ti9IxGW1ZWRH/TyvdcOMDAW5Wh7H3euqKO8YLp8wFxDUWRu27iAF54/SEf70EVjBgP9YUZGYhQWXj3x+4OG8+G9SRp/pm5Czg+7mEJXcHO/i/PMx1mCZPsK/bnQl/eDgvWtwLV8X7d6bGRZYvm6Wpavq53ztovKcvidP3lwTttMJjLs29mKrMhY1s+Gp9y24+jpt7Ht8MQRB5rrI0jSTSCeFE4M/QSJ6D+SSe8kK9dwMc5g6HtJJ3+Kw3kPbu8XkZUahLh8MMa2kyRiXyGTeuWy52iuR/AG/hohrm0jYFth4pG/Qc+8gyRX4s/5J4RwEY/+HZnUDiA59QKzHUPfSyr5UzTtDty+LyErdZftt23rZNLbSCeeQs/swbIGmYmoywT0zLvAD1HURbg8n0Vz3XeFEOOVMecGjyRJ6GmDN3/4NpmUTl5xkHs+tXFGIwKg61Qv3/txGTY0AAAgAElEQVTfz5BO6hRUhJAv8gTYtk14OMrz//YG276/m9GBMOlEBsvKkqK5fE6qF5bz6BfuY9kdTajaRYysNhx66zjf/NMfkIynSMXTpCaSawfODrPt+7unDdia+5dy96c2cmmeo2VanDvVy9Nff4UDrx8lPBIlk9LBBkVT8AbcLFxfx0d/737mN1cjyRJtXUN0D4VZXldGXsCDAA6c6qK2LERewMPh0z0U5HjZfqid25fVsnBeMS+9c5JP3uNh24HTPHF3M16XxvO7j/Oh9U28/M4J7lqxgOFwjGd3HeOBtY3sOHyGqqJcNi6pIcfnwu10MK80D59HY/OyWkKBW0eNn5vrpbIqRGfH0JRFJJ7IMDwcvarBk8kYdHePkr6oAkwIQVFRgOANqBv39IwSCV/04xQCv89J6TWIXV4OlmURjaYYHIzQ3j7EubPD9PaMEQknSaYyGLqJw6HgdKn4/W6KigIUlwQpr8gjP99HIODG47kx0reLYds2yWSGkZEYnZ3DdLYP0d09yuhonGQyQyajo8gyTqeKx6tRUOCnuDhIeUWIwqIAwaALn891QyKeum7S0zNKMnHteTNCCIqKg9fF5zMbJJMZxsbiDA1G6Do3QmfnMAODEeLRFPHEBIGpQ8HrdRIKeSktzWFeTSFlZbnkF/iuiVNqoDfLfO72aAwNhHF7NEIFfqLhJKPDUbw+J/lFQWQlO8aGbtLbNUoinl3wJEmirCqEewYOqd6uESzLpqg0h5HBCJHxBCDwBVzkFVxaUQlDA2FGBqOcX0DyCwPkhnwzhmlt2yYWTTE6FCWd0hFCZJ/boBuf34UkZ0kZ0ymdkcEIvV2jHD/URXl1iNZjvWjO7L1DBX7yCvxTxsk0TEaGokTGE9mx8ToJFfhxaFPHM5Mx6Dk7QjDXg8/vYnT4/DXg9TvJLwzMmYdqJth2BD2zb/K1rNagOpZe4YrZwzL7iEf+amIRV5HkUoTwkSXvS2OZw9j2OLYdJ518DtvO4A38JbJ8+eR6gYQkFSDJZWBnJhihM9h2iqzJcGOwrVEy6Z3o6d3omd2AgiSXIIR/Wr+xE6RTL2X7HfwrZPlysjEyhn6CdOo1skafhBABhBRACBdCKNi2jm2FJzxXBoZ+iHj0bxDCjcN5R5bZ+jox5waPkAR1y6qpWVLJgTeOsu+1I6x7aAX+GapeLNPiwBtHiYzEKJ5XwOr7lk4xjCIjMb715z/mtW/vBGwaVs+ndmkVTo+D8cEIR3edomXHSbpa+/js/3qCjY+uumAwCaioL+HRL9yXvZdh8sJ/bKPzaBfVC8u54+PrcHqmJi0XVYaQ5OmTQvfpfr7xB09yePsJ8opzWPfQCgrL80AS9HcMcnj7CXY8tZf+ziG++LVfp2ZJBbXl+XQPhTna0UdZfpDivKnsm6aZnYwUWaKpugifW2P74TOMRBI4HQoL5xUTjqfYe+Ic7T3DyJLEoppieobCtJzuI5pI43Vp1FcWUlt2wYOW63NjmCblBTkot0iFGiaUiAsDk0yr56FnDOKxq4cRR4ZjfPmvn6X9zIXkZ0kS/N7v38sDH2qedb/+65vb2br1+ORrIWDjpnr+3//v0Vm1l0xmePed07z15kmOHulidAbCx8tBVWVKy3Kpqyti6dJKliytoLAocEOGj2GYnDjew9Y3jnPgQCe9PWPXLKIqSYKCQj81NYUsWlRO87IqqqpCs1pcxsbi/P3fvsCJ49eeh6KqMl/6g/vYcu9iMobJ8Z4BBiMxnA6VpRXFtPWPMBSNs7i8CN00OdU3hN/lZGFZIYfP9WEDBX4PdUXTE+xt2yYcTnLwQCdHWro4dqybs53D6Pq1LQBCCCor81i9ppbb72ykpqbgitIpP/nWTvp7xiipyOON5w9RWJLDE5/dxGvPHuLwnnYqagr4rT9+gPkNJQghiMdS/PTbuzm8t4PwWBzbtvmLf/okC5dVTWv7yX/eyuhQlLseauaFH+2h8/Qg2FAxL59HPrGW2+5umpK0v2f7KZ79fpapfnwkzq/87p185FPrZ0zs7+oY5qknd3Hg7dOExxIIIQjmeVi2ppaPf2YjBRMs7W3He3nyG1vp7x5leCBCf/cYRw6cndwzfvSXN/DoL6+ffJ1O6ex8/Rgv/WQfHW0DmKZFQXGAO+5fwgMfW4XvIlb8kcEIf/cnP2bTvYsoLAny7Pfepb2tH9uyWLSimj/8y0cJ3sSqScscwTLPTr5W1SVT1L7nEunk09h2EkkqxOn+OA7nHchyBQgntjWKntlDMv5fGPphwEBPv0km9RKui4j7pkG4cHt/F6f7MWwrgm1HscxBUskfYegtN9xn246RjP0rth1HkvLR3B9D0+5EVqom+j2OntlLMv6fGPohwCST2UE6+QJu72dn7rKQ0Jz3kE78FCEcqNo6FEczilKLJBVmGZntBIZxmnTy6clkcsvsJpV4ElVbnmVqvk7clByeQL6f5tubOPZ2Ky3bT9DfOTSjwRMPJ9j7ymEAFm2op7DqwsRlGibbf/Iub3xvFw5N4dEv3Mfdn7qN3KIgiiqTTmTo7xzkW3/+E3Y/v58f/N1zlNUVM39pFZCdsMoXlFC+IFsSqWcM9r3eQufRLoqq8rn7k7cRuAo7M0Aqkeapr7zEkV2nmN9cxa/++ceoW16N2+8CBPFwgiM7T/LNP/0BZw6f5dl/eZXf+PITpLFoqCpkcNTNjpZ2VjZUEPS6aO0aIp3RGRzPUn6ndYMj7X2EAh4M0ybP7yaeytBypo+0bqAoMvNK82g508uxjn6GxmN4XA68LgeSJKZoAQF4XA7Gu1L0DI1TmOPDeRWNo7mEewZJhyyR1/sz+e56YFkW7WcG+eEP3mX/vg7GxxNXv+gS6LpJZ8cQnR1D7NzZyuJF5fzBH90/I4vx1WDbMDwU4dlnD7D1jWMMDkSue5wty6a/L0x/X5i9e9opevEQf/g/HqCxqfSWh7l00+RwVx9lOQFGognePNHBcCxOVSiH7ac62LigGo/moHVgGI/TwTtnuniouYE871TvkG1DJJzg9dePsX37Sc52DBGLpa4739G2bTo7h+nqGmXPnjN89KOr2HxHI5qmzuhJt2yb0yf7qF9Uxme+tIUnv7GNb//LNtbf2cj6Oxv41tfe4MDu01TVFma9SX4Xn/j87Tz0+Bq2vdjC8z9894r9aTveSyqZYfP9i/lMYyn93aM89eRuvvtvb1JdV0T1/AsegI33LGTxymo6Wgf4yl88c9k2Dd3kuR+8y+E9HXz007cxr64QPWPSeXqAdNqYIhdSVVvA5/7wPoYGwnz1L55l4bJKHvnE2sm0gJyQd3JcDMPk7W0nePKft9LUXMnHP7MJVZV5d/spXvzxPmwbPvor0w2wPdtP4fY5ue3uJp743GaikSSJWPqKkkFzAcvszibFTiAbQro5XkfbjiLJZXj9f4rDeRdwEeeT5EOSy5CVaqJjX8I027HtBJn0jokQ28zrlRASslKKzAVvimWNoev75sTgyYbGw0hSMZ7An6I5t8zQ7xJkpYro+O9jGm1gp9DTO7DcH7+s1Ias1OLL+QckKQdJLgYu9Xp7UaV8FKUObJtU8geAia63YBrdSI73icEjSYKVW5bwwje3MtA5zP7XjlC3rHraeUd2nqK3fRBVU1n34PIprtnoWJw3vreLdCLDkvuW8uHf2YLb75ocEKdHo7KxjMf+x4Oc3HeG7tY+3vrRO8xbWD4lLHajaN3fwYGtR3FoKg99/m6WbGqY0r4vx8Pq+5ZydNcpnvnGa7zzwkEe+e0t2Lludh/pwDAtNi2twefWuGd1PTsOnyEST7Jh8Tz8HieyLDEeTdI1MM6WVQvwezQUWaJ3OEI4luD+NQ1UFORwz6p69hw/h9up8qF1jQS8LuorCgn6pk4GDVWFdA2O88b+Nu5euYDygluXvJlJTycklBUJTfvg58a3tQ3wja+/ztGj3RPq4DeGRDxNMCcb2poNxkZj/Od/bmfbG8enyDXMFpmMgUNVbih8eKPwOTWq8nM4NzLOqb5hRmJx8jxuCvxeDp7tJZJKMxpLkNYNvJqD2sK8GQ2zwaEIzz93gHNzoIFnmhYd7UN889/fQpIlbr+jMatZNwOCOR5Wb6onr9DPnh2tnDszyH0fWYEkSWx9oYWB3nH0jIHDoSDLEqECPzm5HvIKrr7xsiyb2+9fwv2/tBJVlalfVEYinuY7/7KNMyd6pxg8voAbX8BNOqlfMUyp6wbD/WF8ARdrN9cTKswuTItXVGPb9mT4TQgx2abLo6GoMv4cN9V1hbhm2OREw0le/PFeQoUBfvm375j0EtU2lNDVOcyurcdZd0fDNPLXwb5xfv83H2XximokWUzkozHZj5sFyxrigiCoA0kKwSzCJdcGCafrYRzO+2dMvhVCRlGXoWobMBMdZElfu7HM/ssaPLcKmutBNOeDV+j3UhzaJpJGO2Bimr1YZs8VtMUUFLX5ipsrIQRIeWjuD5FJb8Wy+sFOYprtqFw/p9dNW4mKqvJZfFsDr3ZsZ++rh3no83fhCVywmlOJNPtfP0JsPE79qhrmLaqYEmPuPNZNf2c2AXbN/c24fK5pAyOEoLS2kEXr63nrx+/Qur+dscEwoZK5STazTIu2Ax0M94xSVJVPTmGA8cHIjOfmFeegOhRi43F6zwywYdFKakqnJmtXF+dSXXyhb+mMgSpL3LF8Prn+7Ngk0zpOh8qH1jdO8d40VRfRVD1VePW2JfOm9cPr0nh00+zI3W4Etm0zOhaftpPWNBX/Td6h3WyMjsb43nd2c+wSY0eSBG63Rn6+j7LyXPLyvGhONZswH8/mjfT2jDE2FieV0slkjEkvjKYprN+wYFZ8P6mUzvPPHeTNrdONHZdLJZjjobwij4J8P26PhiQgmdSJRJL09o4xPBwlmdRJp3TMCYoGWZZYtaaG/FmKv/p8Tn7psTV0d40Qi6WJRZPEYmmi0RSxaIpwJMHIcGzyfpdCAC5VRZEkNEVhQVGIwagL3TTxOR2Ekyl0w8TvdKLKMl6nY8Z+CgHl5bk0L6uip3tsyv0cDgWnU8Xnc1JSmkMo5MPj0ZBliVgsRW/vOF3nRgiHE9NCX6OjMX74/XeoqSmgpnbmfAq3V8MfdONwKHh8TrwBFz6/i1Qyg8vtIJPWZ+3tzM33Ur+oDMeEV0RRZPILAzg0lVh0dgKdmtPBklXzePo7b/O1v36OjVsWsnhFNf4c9w1p4Q31h+k8PcimexdhmjajQ9HJ9wqKA7Qd62GoPzzN4Cmryqd+cdkUQ+tWEKfY9gVvrRAOhLgy0/aNQEhBHM4HrlhpJISE4lgKiW8D9kSYKnzZ828FhPCiuT509X6rS8iaFWY2tGaNX+H8axtjIQSSXJENM1r92FjY1uzG46YZPJrLwer7lvLWj9+h53Q/x95uY9WEbo5t2/R1DHLs7VYkSbD8zkXkXqLo3dcxSHpChLSivuSyCdlur4vSiQlotH+c8cHInBk86WSGvo5BTMOiv3OYv/v1f72s9yidzCZFC0kQHo7OeM6lkCTBgooC1IvalCVBQ2XBlWRK35dIJXXOnR2ZxsEQ8LsovAZpjvcrLMviwP5ODh7onLJYyYrE8uXVPPChpSxYUIzT5UCZZHrOhvGyIqsmw0MRThzv5cSJXjraB+npGWNBfTE1tQWzKTSgt3eMl19uIZ2+RIizMsSHHmxm1ZoavF4niiJN5p1Ylo1lWei6SSScpLW1j+PHejhzepBzXcO4XRorV827rPfianA6VTZsqMM0rey9TAtz4p6WZdPbO8bffvl5urtHZ77eobK5YR6qLFMUyO5kDcvCMC0cikxTWRG6YWYFUBWF2sLLk1lqmsqmTfXs2tnKyHCUUMhHVXU+DY2lLFpcTllpDk6XA1mWkKRsBd35senrHWfr1mNsff04Y2NT87O6u0fZtvU41fMKZiTxk2QJRZERgkmuqiwEiImKsFk6B50uB55LZE8kSSAkMWsjSpIEdz/UjNPlYMdrR/nOv77JU0/uZv2djWy8ZyGllTN70K6G8Hgc0zDZ9uJh9myfKu2RiKcxTWtGXqBAjvuyxS03E9lw1vkxlLmZbC2KUod0hQTk88hWiJ0vwMlg2+8tnYqszJ8IO10ZkpTDhX7rMEf9zhqh578XG9ueHanoTftmJVmiZkkltUurOPHuafa/foQlG+vR3BqWadG6r53u1j7ySnJYfteiafHcRCSBZVgoqozTc3mLW1Ik3D4XCEgnMpNG0lzA0E3i4az1b9s2mbSO0C8fPnAHXNclb6AqMo/dOTUh16EqPHHPzGq071fYts2RI1309U615iVJML+uCO8HmNE6kchw6OBZYpckXi9fXs0XvriFouKrJx3n5XlZUF/CA7pJb+8YJ0/04vO5yMubnTfl2NFuBgemehpLSnP4wu9toWlh2VWrrXJyPFRWhbjzroUMD0dpPdVHOJxkwYKSWe9shRDIsrjsvROJzBVDE5IQuBzZfJDzyfbTgiWOC/lojiuErYUQ1DeUcNddTSAEy5dXU7eg6Joq4wIBN1XV+VRUhPiPf3+T8EUVfrpucvjwOUZHY4RmyP8Tk/9cfGBucJ7wc67h8TnZ8uFlrNm8gBMt3ezb2coLP9xD27EePv9H91M4C24gVc16h5atrWXZ2tppz4QkCWrqpy+eQpKueci8QQ+f/rOPkogmr3quosqUVF9epiPLTXP+zgY2M2sFzgVkueLa8oOmSFhYXAi5vTe49n6r2aG0yXpirlIllt0gW0AGyxzGNDqwrD4sK4xtx7KGnp3BssYxzYsLImZn5N/U5Ir8slyaNzdyal87h986zkDXCOV1xSSjKd596RCGYVKzuJLapZXTO+ZQJncvlpllb5xpsrJtMHQjq3asSHO6Q5AkMenRqW4q4ze+/DihsivLJAggWHC5mOXPHmzbZmgwyosvHJq2I/b6nKzfsOA96tncIJXUOXt2KqGXx6Ox+faG666wUlWZioo8ysvzJqgVZvestrcPTvGkybLEsuaqazJ2LoYkCQoK/OTn+zAMa9benfcjHA6Fxz+xDkWR0bTrC884nSp337OI020DPPfsVKXv4aEoXedGZjR4PqgQQhDM9bJm0wKWrKgir8DPU0/u5mz7IAUlU3m8znuvTMO6bCJ4YXGQQK4Hl9vBhjsbb0rSscvr5PaPrZ2TtoS4UDRg2xmwU9mF5SaEtYTkR3wA+X6F5Mty38whbNvCMvvQM7tJp17F0I+BncC201mj0za5YOzNjcF3U0deURVW3dfMK9/aztkTPZw+2ElZbRF9HYOc3HMGWZFZ//CKKUSD55FbFETVFJKxFKMDl4/X6akMY4PZ970BN545/HGpmjppvGTSOt4cD+V1V3fr/TxhaCjKd7+zm107W6cswkLA+vV11C0ousLV738YpjWtrN7pUskL+Wa14z5PbCddRtTyWhCNTM3ZkCRBfqF/1jw6QoifKWMHsp/pRjyLmqZwx52NvPzyYfTMhV1qJJJkaOjaQtbvd0TDCU6f7CO/MEBhaQ6KImEYFolYGlkWM24eVVUmmOuhvbWf4f4w5fPysUwLy7Yn89FyQl423NXE688epGZBMevvasTnd5GIZ+jrGiGV1Fm4rHJO9O/mAtkk5fOfVc9yymDeHMNEaHAFEsH3K8Rc99u2MTL7iMe+ip7eAVwcOdGQ5HwkEQDJjRBOsC0M/TC2Hbuh2970J656YTnzl1Uz9Nx+3n3xIGsfXD6ZrFw2v5jGNTMr5s5bVIE/10dkJMaR7SdZec+SGflBxocinNrXjhBQPK+QvMvk71zMnmro16b3oWoK1QvLcftdDJ4b4fTBTqoXVtxUEqz3I84z1J7Pc0ildCLhJC0t53jj9WOcOtk3JY8gG1Io5uFHls+6Cun9AkkSk+Rq55FK6gwPRbEs+z0RZHRewhBuWTaDAxFM07oh8sBfYCryC/yUlebS0XGBPTyd1ifK3Gf2OF8rDr17hne2nyIRTdPR1k86pfPd//smBcU5BHM9bNqykOq6698s9HWPsvWFw4wMRhjqD5OIp3nr5aN0dw7j8ThZvLKadXc0ZLmAomle/NFeertG0TQFWZFJp3QS8TSb7l00yRl0MfxBN5vuXcRTT+7my//zR3h9ToQkuO/RFdx+f7ZYQnOqfOhjq4hGkjz/wz28+uxB5AlvvWlaLFpWRf3isvePwSOXIYRjMk/GNM9g24kJYr25xgctO/NizBVRqoWhHyIW+TMM/ShgIYQf1bEKh/MuFLUBIfwI4QBUEDKW2Ud0/EvZkvcbwE1/4lRNYcMjK3n7hQOc3HeGzmNdHN3dSiats+reJdOSlc8jvzyPFfcsorutj93P72f9IytoXD1/Sn6MaVq8/fwB2g504va7WXXvEty+mXd1siJPVnr1dwwSDycI5l/5gRZCsGhDPdVN5Rx7p5UX/2MbVU1l1K+qnTYR2LZNKpFNXA7k+d6T5Lu5QDSaYuvrx8jNm8oNY+gmqbROeDxBb+8YHe1DjI7GMIzprsaa2gJ+7dc3UTu/8AMvW6BpCoWFAVpP9U8ei8fTvLntOEubKybJFm8lSkpzEOeTYMn+Dg4e6OT4sR6aFpZekSDvF7h2aJpCXsg7xeCxbUinjWkGz+Ll1ZRXhdCcKoois2TlPKrnFyHJEqpDZuX6OhQ1+zeAaVhgg8vjoGFJOQ2Ly2HC+2db1pTqsmVra6meXzQtabmwNIe7H1xKzUVeVMu0sEwL1aFQXJ5HcVluNmd6oq/mRb/XvEI/H/7UOk62dDE6FMMwTDw+J3WNpSxeUYXT7eBSqA6F+z6yguKyXE4e6Sad0vEH3VTUXOBQE0IQKvTz2T+4l2MHz3LqSDexaAqXR6O0Io+m5sopHD8er5NN9y4iN/+9mTezPDDlmEaWoFTXj2BbEbhsOfUvcCOw7TipxHcnOYKE8OL2/R5O9ycRIstvN21OtVPMBVXALTGx61fWULGghOHeUV7+zzfpau0jtyjI0s2NaK7pPyrI/rDu+dRGTrx7mjOHz/LPv//f3Pert7NwfR0un4ux/nHefekQr/z3dgBW37+UVfcuveziI4SgrrmKt5/bT8+ZAX78jy9y76c3k1PgxzQtYuNxHJpKZWPZlOvyy3J5+LfuZuDcMKcPneVrv/ct1j28goZVtfhzvGTSOmMDYc6e6KF1fztN6xfw0Ofuuuzner9jfCzOd7+ze1bXOp0qixaV88Qn19G0sOwDb+xAlkyxsamMt3efxjAuhDYOHujkX7/xBh/92GqqqwtwudRb9nmbmspwuRxThFp7e8f42j+9yscfX8uKldV43BpCmmHi+AWuGbIsTfOmQdbTeamDeOOWhVNen/d2AMguB/c+OrUQYfn6+SxfP7N3+1Lc/dDMTONVtYVUXVIiX1oZ4lO/dec1tauqMo1LKmhcUnFN5wMT0hMO1myuZ83m+quet3zdfJavu/Ln9AfdPPbrG6+5D3MNIflQHUsnDR7TaMfQW5CVsqtc+QvMBpY1OKEjloXDeTdO92NIkpvLeZFsO8nUsNfscNMNHiEEeaXZSqxn//V13n7+AIlokiWbGqlbPu+KBkpVUxm/9leP8eRfPsXJPaf5tz/5HppbQ5YFhm6SjKVRVJkNj6zk8T96iEDelRMJ1z64nH2vHeHgtmO8+uQOdj69F1VTsUwL27LZ8MhKfvern57Wj9X3NZNOZPjJV1+m42g350724nA5sjtp28Y0TfS0gWVaVC0sn/nmNwmWbRNJp1FlCY/63hhZiiJRVp7H7bc3cM+9iwmFvD8zXgZFkVi+ooo3Xg9xum1g8rhhWOza2cqpk/2sWz+ftevnM7+2CJ//5nF4nEdlVYiVq2rY/tbJydCsZdmcbhvgq195hebmSjZtbqChoYRQvu9n5rt4LzDjd/nBJw6fAts2SOrH0I1uAFS5GJdjyRU5V36WIIQX1bGaVPIZsONgp0gln0HVNlyBNO8XmC0sszfrQQPAiepYiRABrhQys6xBbOvG8nfgFnl4nG6N5Xcv4p0XDzI2GMYTcLPynsUzyk1cDFmRWbqpkZyCALuf2ceBbcfoPTNAJqXjDXpoWlvH6vubWXN/MznXoMZdWBHic3/7CV7/zk4OvXWcwbPDZFI6bq+T/PI8qppmtuidHo07H19P9cJy3n3pEEd3naK3fYBEJImsyuQWBymrK6Z+ZQ2r7l06GZu2bRvdyib0mbaFQ5JRJAndstAtE0kINFnBtCc4S2x74piMDWRME9O2UCUZVZIwJ9oxJ/JlnIpCLJPm9bOnmZ+TR11uCKc8e8Kw2SAYdPPhR1ewdv18KitDKHPIcv1+gBCCqqp8Hnxo2bQyZdO0GRgI8/RP9/HmmydobCxl+YpqVqycRyjkQ1Xlm5LjEwi4ePQjKzjbOcTZs8NTvA2RcJK33jzJ3j3tzK8ronlZFStXzaOyMjTJ8PvzCNu2MY0sr08qlc3BGhmJEYkkSCQypFM6Gd1EzxjouomuG8TjaVpb+6/e+AccNhZp/TTR1FYS6f24HUspy/0/E+GFn30IIaE6VqMoDRj6PsBGT+8gnXwWp/tjwK3z3v48wLYSnK+6yhI9Xpmew7Z19MwhLOvGmdNvusFj2xYxvZfCFRl+/8cP4KIQt5p31fyZi1FRX0Jx9X1s+fQm0smsWrqsyLjcGp6gZ8YkYtu2SVth0mYEn1qCJBQkWaKivoQn/vhhHv7Nu8mk9CyFuiyhOtUsn89lIKsytc1VVDSUcv9nbieTzGAaFkIIFIeM5tZwe12oF8koRDNpftJ6jLiuE02n2VxRTX1ePq90nKYrMo4sSdxfU0d3NMK+vh5UWUYAjzcsJqZneLm9lVgmQ4nPz0O19XSGx9jRnRW5E8ATjUvY2X2Wp1qPU+4PsDi/iCcaboxl+Tx7sDyDiKqumySTmSkLbCZjUFWdT03N1cm0PqiQZYnb72ggkzb4yY/3MDAQmZL0bpmNky8AACAASURBVNswNhpn185WDh7o5Kkf76V5WSVr19VRPS+fvDzvnBoa53lmPvPZ2/n2f++kbUKc8WIkEhkOHzrHiRO9vPjCIermF7P+tjoaGksoLAygqvLPxSRuWRYjIzG6zo1y/HgPp0720tM9SiKRQddNDMOaJEe0LDur/Wbb2BN/X68G1wcRApWA+wE82hr6w38zUQ788wVJLsHp/jDxSCu2nWU2TsS+hpACaM67gJ8P4+9WQEjnVdbBttNY1ii2bSFmqALLblROkU4+D3PAj3TTDZ6wfo79w18HQMvxEfLdT7G78braEELgcDrILbq+kM1gsoWu2A5W5P8OmhyYbMvlceLyXH/JqhACzeW45vwc07Y5Gx7ntrIqNpZXgYC9fT08f+YkK4tKaR0dZlf3OTRZwa2o/Pri5XzzyH729/fQGR5nQW6IjeXV/NvhvRwZGkCVJAbjMf547aZJr8/tFfM4Mz7KlupamkI3bnTk5nr42GNrKJiBS2hoOMoPvv8OwxeV5SYSGZ5/9iCLFpcTCNwcwb33AzweJw8+vIyq6hBPPbWPvXvaMWZQ3k4kMiQSo3R3j/Lqq0dpaipl7dr5rL+tjvx8/5x5fBRFZvWaGoqLgzzzzAHe3HqcSGQ6CVsmbTA4EGFwIMLbb7dRVR1izZr5bNy0gOp5BT+zHh/btrPerrdOsHNHK8eP9ZCcQ1LSnyUIIRA4kSU/Agc2Vyfze7/hRP8QhmXSWFSAadns7+phSWkRbse1zdVCyGjOh9Az+0knnwLAMruIh/8MUz+B5noYWamdMcxn22lMoxPTaENxLEe+Bkbin2fIchmSlINpjgNp9PSbOF0PIuQCpoa1bCyzg3j0/0zmV90obrrBM5A8hEBmTcEfIgkFRdw61t1CVzO52nxU6b0TRAxoTgo9XlRZxrJtUoZBmc/PHZXzuLOyhhyni53dZ/E4HFmNINVB0tDRLTN7TJLwqg4Suk5A0yj1+afk6pzfpFtztBV1uTWWraimujp/2nu6bjI4GOGnP9k7pTrr6NFuXnv1KA8/svxnjs/lYqiqTPOyKqqq8jl86CwvvdRCW1s/0UhqRpqDdErnwP5s9dQrr7Rw551NbNrcQCjfNyeGhiRJVFbl85nPbGbjxgW88nILhw+dY2RkZs0q07Q4c3qQs53DbNt6jDVr57Pl3sVUVuXNStPr/QpdNzlxoofvfWc3R1q6r2joSLLAoSpZGQ5ZQpaychPnDdNIJDlFwuO9gG1bGFYYwxrBIRchS1dOBbgZsOwUsdR2IslX0c1+QKAp88jxfAynWs944imSmWMUB/8fLDvBYOSr6EY3xTl/gSrnMxz9Nyw7Q8j3G0hi7nMN24aGSRsG9YX5yJKgJpSLQ76+Z1pIQdzeL2BbMTLpbYCOZQ2QiH2DVPIZFLUWWalDEnkgBLY1jmn2YBqdWNYwYOIL/tMtNXhMcyCrSm4NYVvxCXbiGJY1hpE5NHmenn6H6PgfIEk5COFBCG/2fymAQ9uArEwn/71ZkKRcHM57SMb/HTDJpHcRC/8ZTvfjE/IVAssaQc+8Qzr5AqbRhizPw0bHMrtv6N43bZYLZ84ymDpKd3wXSWOUjuhrqJKHSu9mFJzYtsV4ppPh1DEs2yDXWUdIa5h0a42m29CtBC45l4HkYSzboNi9HJ9aCggyVoyB5EESxiBOJY8i1zI0yY8QgpQ5Tnd8N2kzjE8twynnIF1E1a1bSQaTh4no3Vh21k3mlINUem8nqveSNEdwSD5G0idRhEahaykepWh2IQBxwWYVQF1OHu/0nmNvfw+KkFhfVokkBEeG+vnBiSO0j4/yiaalFHi87Ont5vTYKAOJOHdU1tAbiyAuSexSJYkcp4tXOk4znExwe8V0QdG5gqrK3H//Evbvbae9/UKpbjKZ4dln9rNkScX7rhR9riMSQghycj1svqOR1WtqOXCgk9272jh86CwDA+EZQyCplM7ptgE62ofYtbOVjz+xllWra+bE6BEC3B4HS5srWby4gpMne9mx/RQHDnTS2TE0o+FjGBa9veP89Kl9vPvuGT786AruvmfhB1oC5DxMw2Lf3na+8c+v09M9NuM5waCbysoQxSVBQiEfOTkePD4nLpeKpqloDgWHQyGV1vmv/9jOkZauW/wpLoVFSj9Db+RfKPL9CgHXbbe+B3aKZOYosuTH5ViCZcUIJ54lbXRQnvsPCKGR0o9i2QksK0Y8/S6GOYhh9qPK+STS+7KJ0NfA1ts5OkbnyBimlc1pdKkKS8uK6RoLc6xvEI/mYGVlKW7VQUtvP93jYc6NjlMc8JPI6LT09hNLZdg4vwpFdjAaT7DnbDfRdJraUB4LSwpR5ZkUvyVkpRZv4C9IxP6JdPKZCaK7DJbZScbsBN645KqL+cd83GoJCNM4TTzyZSxr4KKj0ychy+onk3p54tXFzNkupODf31KDB+HG6X4MXT+AkdkPZEinniOdehEhss6JrKCrCdjISg0e/59h6C0kol+5oVvfNIPHti3ARiAQQsrm0AgZgcC2LQaShzk69h18agmyUOlOvE2t7z4qvBsRQmYw2UJP4h0CahWycKDbMXKt+fgoQ7fiHB17krg+gFctoT95kMFkC0tzfw2H7ENCQZP8DCQPMpA8RL5zIYqUncwt2+RM5EUGU0codC5hJH2C4fRJFuf8MkJIDKeOcTL8FLnafFxyLhG9i97EXlbmfxGnfH0imF7VwYfnNxJyZUM9QghKfH5+ZeEyemPZLPUcZzY2XJ+bT2OogNUlZVQHcqgJ5lLo9hLJpLm9oppSr5+AplHmy/YhZSYxbROX7OZDNQs4NTZAULv5cebikhweeLCZf/+/20gmL8RUe7rHeOH5g3z+N++cwrHxXuPiUvK5wnmDzu3R2HDbApY2V9LdNUpLSxfvvN1GR8cQ8VgK05w68ZimxdGj3Xz9a68xPp7gjjubJlSp56Y/siJoWljG/Loi7u1dzKmTfby9u40TJ3oJj09XALdtm57uUf7rP7Yz0D/OJz61Aa/XeTMY9W8Z2tsH+dZ/7Zhm7MiyoKw8j82bG1i6rJKCggDBoPuKshNjo/EZy9KvBtu2Me0otm1g2xkkyY0sfNh2GsMKY2OhSD4k4cGwxsmKIaaRJC+y8GKTwTCzunSK5EeSXPicK/Cml/BeEdfJwk/I9xsIoU0YLSayFGQg/L8wrQiaUg0IdKMb046hSEFkyUdKP4VDqca0wmhKzTVthk4ODNM2OMxoIkmR30sio6PIMttazzAvlMuJ/kHGkynqCvJ45UQb6+dV0pIaINdjIEsSfqfGS8dbaS4vxuNwkDFNbEAWEj9tOU5ZToB878xe/6wydxke///Eod1GKvkTjEwLth2fICY8LzQqyLIzq9kxER4Ux2Ikeapml0BGkguRrGxBjHSVaqQL1zmR5DLARJJCWbbhGfurZb0iYnZLuRBOmEkjS8hIcsFEH0BcLAp6xfY0ZLkM204hSbkzJr4LISYNy2T0G2QyuyYqsHRsO0J2XB0IKYiqLsHl/TyqYzWS8JNWngFshDQ7aZebZvAEHJX4HeUkjWEimW4WBD4MZB8A3U5wJvoiec4FNAYfQxYO2qOvcjr6AiFnIx61EBuLpDHC4pxPk6PVAhaSyE4+A6nDjGfaWRn6Im6lgHCmg33DX2codZxSz2pUyUOpZy1pK8y52PYp/dKtGAPJQ5S61zDPv4V810LeGfw7Ao4qJFRsspLGNf77CWkNjGfaOTD8DSKZczhdi65rDFRZpiowVXxPEoJSn59SXzZHxrQtbCDP5WZ5UcmUc+vzpoaVgk4XwQkDqT1+mnPxDm4v2EK+20NGqHjkm89qrCgSGzYs4N23T7N3b8eUUM6una2sWDmP9Rvq3jdennTq5ocjvF7nhPp5Iffcs5BTp/rYsf0Uhw5mvT6Xqln39Y7z39/aQV6elxUrL0/NMFs4HAqVlSHKy/NYv6GOc2dH2LWrlQP7OmhvH5pmBMZiKV568TA5OV4eeXQ52iVSL7plMJgaJ6QF0OTpBsBoJkJvcoQFvnJU6b0LjaXTOi88f4iO9sEpx88r23/6V2+juroA1XFtCduz9w6aDEa/hzlBgy8JB4XeT5Ix+xlLbsW0YqhyiELvJ+gJ/yOqXIBpRVGkIEX+X2U8uY1EphXb1nGq1eR5PnRTwkDXAyEksAUp/SSGOYRtp8gYndgY2Bg4lEqEcJAxz6Ibg6hyCbIcJK23kVGbsLHR1JprupcsBFW5QWRJYmFxIUd6++kcGeNgdx+KLGOYFpoi0z0WJuR1s7GmisFYDNPKHp8XysU7kbtj2TYdI2O0D4/iVBXOjY2TNq48J2TlX3JxOO9H1TZiGh0YegumeQ7bGsW2dUBBEh6EnI8sV6Co9Uhy6aSHYrItKQ9f8B/AnrincBLRTSSRwqde3qOqOpaTk//8hG0lTWv3PBR1CYG8b4M9S8+SYMa2hQjiDfzvyX4LoQFXfwYVdSnB0E8n+i0u228hZBRlId7g32BkWtD1/dlydTuT9TrJJajqEhTHEoQIIISE4mjOto3NNQmZztS/WV11DRBCQiAhyE4uF4eULDNDRO+mzLMBTc4u/AXOhZwc/zEJcwSPmk2+dSl55DnrkS5JFBtLtxHJdHNs/HuAwLIzpMwx4sbAxL0F2Nn7XwpZaDjlHEYzbYQyTYykTqLJQRzyhdI4p5xLSKtHkTQ8SgGycJCxItPamgtICFYVl04LVQEcGt+HaVu4ZBeapOFT/AghEdbHKHWVM5DqA2xiRpQzsTbqvPWE9XFORI6iWxkKncX41SBnYqcI62EWB5opc187ydhMEEIQyvfxwIPNtLb2Mz6emHxvbCzOs88coHZ+4XvCQHwpLMsiGrs1CZjn9aiCOR5Wr6llaXMlp9sG2P7WSbZtPc7oaGxKuGtwIMLTP91HQ2MJvitUB95If2Q5qyfV2FRKfUMx92xZxJ53z/DKSy2cOzcyJdwVi6V55un9LFteNS0smTTT7Bs7xYqcBYQ0P6qkoFsGFjYOScW2bfaMnKDcXYAHgT4xSTokFfkW6gad7Rzm0KGz09i/51Xn87nP30FlVei6nknbsshkZmcwG9YoXq2ZoOt2usf/gaR+ZsLT40FIMpHULgq8j2NYEfI9v4RDKaEn/BXSRjdDsR/iVGqx0Ymm9xBwbcAhX17t+2bDtm0Ms4/B6NdI62dQ5QIkyYtu9E948kGWfChSiIxxjozRg0OpRJULiSRfJ623IQkHqnLtHGWylK1YVSY4pPwujdr8PD6ypAm3Q0WRJE4NDnO0b5CBaIyhaJyAy4lpWSQyOrppksjopA2DA129VOflMD8/j/3nei97T9u2yVgGmQnKEKesIoQfS27ClhqxbQtNUiaoRcxJmhCHnH3O05aBbuoowpzcGKRMA9N2oAgnmqySNnW2D5yg0OWnKViCW3bM+Exmy7Vnlkmaep6KEDOrFcwWumWSMnVsW0UIFZfsQLlG7T/DlkiZbjRJQRVX3lgIISFEDg7nJhzOTQCkTR1FkmecN4RQECJn2vHrwXuyHbMBbPuSRX5CU35yXyWQhWOasZO91MIpBylyLZ9socyzgRzH1fNXZKFR5b2DQ6P/zrHx7+KUgyzM+QQe5UKFkyQUZHHeWyIm7nlz6lOFENO8QOdxLnGW5Tmr8CsBTsdOTfRNZjg9SL52ob8u2Y2EIGkmEEIwnhljcbCZ45Gj5DlipMwUAlCluVO7XbK0knUb6njphUOTC7ltQ8vhc2x/6ySPfHgFjjnQyrmRYY+EkyTi701ljqapNDaVUlWdT/OyKr71n9tpaxuY8hy1nurn+LEeVq+pven9kSSJioo8iouDLF1aybef3MU7b09ljx4cDLNnzxnm1RRMoyUYz0TZPnQYp+xgUWAexyOdmLbFfF8pTf5q/Gp2J3cs0sHR8Q402UGTv4qGwK3JDbBtm7Nnhxnony40fPeWRZRX5F23AW4YFvF4+uonXhYyIBDIWHaasfjr+J1rUKU8YulDgI2EikMpyS5cOLDsDLLwEvI+jCyyOYmKdGOT/I3DIpJ8jWjyDUpy/hK3YxlCqESSrxNPvztxjsChVJPWOzCsUXzOjShyEVbiGRKZvahyCeIaPAQAuR43hmliWhZ+p0ZpMMCCghCykPjJ4WPYNtxTX8uCwnzah0f50cGjuBwKlblB+iIx3jh1hoSu88KxU9zbMJ911RW8ebqD/kiMxqICXOrM86BumWwfaOPoeDcg2Fy0gHnefJ7uOkDaNIkZKTYVLqDMncOz3dl5L6InebBsCQGHi619JxlOR1EkmUfKm9Etk+e6D5MxDco9uWwpaeLwWBfPdx8m3+mjLTLAx6pWoF5jOCphpIgZSUJaAGkWGwnLsrFsC2WG/KWLsWe4nae7DuJXXThllV+qXEGVN3RN92iLDPCjs3tZEapmS3ETynWSV+4d6WSBv4h85+xCVlfDe2LwyELFoxQSzpzDtHVkoTKeaUeTAzjli63VmScov6OSgdRh8p1NeNXzOjLXtjIKIQjrnfjVclYVfAn5Mq7i99o7AaAIhVxHHqpwIISEZVtkrOkLuCxkHLI22We/GiCo5kzkCqiYtkmNt46QNne7RK9X4977FnPwQCd9veOTx3Xd5MUXDrO0uYq66xA/lC4jg5BOzZ57obd3nMR7WIoshMDj0Vi9pgZJEvz9377AyMgFttBYLMXJE723xOA53x+HQ6F2fiG/8bnbGR2Jcfx4z+T7tg1Hj3RjP2ZPk61xy07WhZpoCbezb/QUY3qUUleIM9FemvzVk+fplkmJK8QCfwVvDx+7ZQaPrpv094WneWS8Xo2mprJZ0QGkUjrDw7NVRpeIpHaRyBzHxsSlziOeaSGa2pMt/55csAQXz3OK5MPvXMNI/FlkyYtLrSPgzGUk8Qqx9AEyxiAg4XOuuIVhLhvDGkGW/GjKfBQ5hGGOk8js42K6f6dax1DqdWThQVPrkCQfIBFP7yPofuSa77a8fGpov6EoO29V5uZw54KpYbHHVyyZdv1n1q2Ydqz5kjZnghACr6pR6ArQER1i73AHVZ48uuNjbCqqZ3WoGgnBYDpKZ2yEx6tWUR8owgZe6jnCu8PtLPAXcWSsh2pviFJXkLiRZkPBfBoCxXhVJ2vzazge7mNVqJrm3Mt720czEbBtcrULeaNpS2csEyXX4ed6H2fbthkaixKOpairvPI6kDAyLMut5NGK5WjXWenWGCxhVbyapKnPKiS8oeDa5FZmi/fE4FElF7X++zk2/n10K44iORlMtjDPt2WKp+VyKHGvYCB5iP3DXyfkzLoaM1aMxuDH0OQACWOIscwZhlMnSRhD9CbeJeCoIOiYhxAyklAZy5zhrb4/RSCjyQFq/Q+Q77w+fqCbDb8aQEJCFjJ5jhDHIi04JI2gmsOZWCtD6SFOx1rJdYToTfYQ1SNUuCvxKl4kIeGRvaTMJBkrTVfiLLKQqfHWzUnfhBDMn1/Eli2L+N53355SutvbM8bTT+3jt3/37mtWS3do2dLgi2HbMDoWn1X/LMumtbWf6AzcNLcaQggam0pZtLicN7edmDyu6ybDwzFsy54iinsr+lNSksPadfM5c2Zgync3PBTBtCyUSywe54RbWyDwKi5sbCo9RYQcAaJGgpiRZDwTQ7cMxjIxBlNj+NRbR9ZmmhbxeGra8WCOB7d75rDB1dDZOUT4opDt9cEi4NyAU61CkYIoUi4F3ifQrWEk4STP8yCScFEa/CKK5AMExf7PoMg55HkeIWMOYNsGqhxEEhperRmXWpfNZZCCiDmcunWjj0jyFQxrmJR+FNs2GIp+A0UO4dHWoSk1eLS1hBPP0R/+axxKOYY5hGVnUC4KtWlKNbrRg6o1I0sBBCqKXEAsvQOnenndrfcLBpIRtvWd5MOVy7Btm7CenTv8Dhf5mhf1orBOrsNNruZBkWQMyyJtGtQHirizqIE7ixvId/pwyiqPyCotY93sG+nk0zXr8SgOBNnczZlg2zYRPc62gf0EVC8NgSqKnLnolkHcSJKr+ZEmnuW0qTOcGce0LXJUHx7ZxdPbWtANkyULSrFtONLWi+ZQaJpXxI5D7YyFE2xZZ9JQXXTFTcBwOkZbpB+nrFLmyWXnYBu2bdMYLOG1vuM8ULqYjGXwSu9RhtMxipwBHq9ePWWMAKJ6iv9u381vL7iDgWSYl3uP8kDpYvaNdNIy1o1LUbmnZCGVnjx2DLayY6CVX6lZT6UnxK6hNkzLYnNRPXuH2xnXEyzJqeCtgVP0JMYJqC4eKl96Xd6gm27w5DsbJ0rJL4ZEkXsFmhygN7EX09ZpzPk4Ra5lkyGsPK0Ox2UysR2Sn+a8z9KbeIdw5iySUMl3LUSR3NjYxIw+BpIHkSUHRe7ljGfOoFsxvGoJsUwf52Jv0Rh8DL+jAss26IxtpTXyDEFHNTla7ZQwmiI5qfRunuEz3Hysz9s0+XeZq4Iy19QdQXNw5eTfD5d8dNr1y3NWc3h8P/laIaZtkrZuxD0/Haoqs+W+JezZ087xYxc8BaZp8fbuNpavrGbz5oZrKr/2ep24Lqnusm2bjo4hLMu6bj2oaDRJy+GzpG7AQzSXUFWZ/BnYxQ3DxLJt5FtcfSNJgvwCH7Iiw0UGj2FY00rZHZJKjbcUt+yk2lOMV3HRkxxmJB3GK7tImilyHD4GUmNkLJ2IEWckE2F5zoJb9nmy1TXTnxFFlmZlTBqGyc4dp24opKrIubjU2oteB1AuqfTUlAueB8f5zZ5w4JKqLznv5s0/lp38/9l77yg7z/u+8/O89fY2vReUQa8EQIIdFIsoUpRkFcuS7NhrxUrOOo5310nsbbF9vGtns3YS5zg+6yJLkWRZklWoRolFLCAJgkTvZTDADKa32+9967N/3MEAg+nAsFjS95w5GNx5+33f5/m+v/L94ngDSCSRwAPTn7neMP6Uf1HYvIOm1H+gYB1ESotYcA9BYwO58ouoUyk3TW2gOvobGFo7QgQQKCRCT6ApKQLG+vdE1HwhKELgSI9jE330FiaonZpIxRwVljeeiyoEW5LNfL//OAfHLyOAhxs30FfIcWSiF0d6OL6HLyvK/DWBKD8ZOkfaKvJg/TrUG8Y2H5+rpVGOZ7pJGTEs3+Ghup1knSLPD7+J5bt8pv0xAqrBG+MnGSiNTdkPaXyg4W48X1KdCBMJmuw/egmAQslmMldiY2c9juuxoXPxyHt3bgTX9whrJp9o38Vd1av4fPcrvD7azb6G9aTMMF/ofpXaQIxf6bwb23fR5kizedJnqFRJM9u+x0g5S8lzuFIYpz1SzV01q6gJRDEVjffVb+BUegDLc1GFoMaM8sLQGTYlmzg62ceOVBsHRrs5NtnH+ngjh8Yv0xpO8XDjxiV/x2874akP7Zz1WUXZU6UqsI6qwNzMvza4hdrg3DYJQghMNUpH9OE5/14X3EZdcNusz6WUjLjHkdInZXYR0qrxpEVAjVN2J4AKQbsx0qMrIVbHn1j0PN8O3O4AYSgG62IbyblZVKGS1KtW6MgqEEJQXR3hyQ9up/vizEhBNlviu98+zPr1jTQ2Ll6DoGkq9fVxFEXM6Grq6x2n59Ionatql3w9fF9y+lQ/Rw5fWf5JvU1wXZ/xm9IjilJJeb0dfluLQUrJ2FgO76aOrXDYnOWHFlANNkylprr0SndEU2hmTn91tNK+eirTQ1QLsyP19oamb4aqKkTn0BFKp4uUShULmaXeP57nc+ityxw72nuLR6NQG/kkmrqyz9vbBVPvpD7xe4sspRM2dxE2d834tCryy9O/a2qCmtjnZvw9EriXSOCd1w26FdQGYvxy511knTK7qjsIawYRPcBTLduoMq93G6WMMB9t2zn9mRCC1bFaPqbdwbiVRxUKUS2AoWhsSDTiSZ999euIGUEUBA/Wr6MzUjNVFD3zGFShsjHewYZMO13RVrYlKxH5gGqyp2ojB8ZPAVD2bF4aPUpcD6MrGpZvk3UK7NrYyvHz/ZzqHsLQVVRFobU+SVtjip7+ccYzRUqWQ9BcuJ5zT3XnjJSW43sEVZOB0gApI4yCIO9YbEpUIk7ziTwqU7W5ru9h+y6W5xJSDd7ftJlzmSG+03eEPdWd7KqeSfCFELSGq/CRHJvow/Jc2sJVnM8O0xCMsyHewPp4Ay2hxQu7b8RPj7zqEhE32tCVMKfSX8FUYlh+lpI7xprYU9NaPT8tEEIQ0+PE9OXpBy13H3fs6mT3nlWz3ojPnh3g2R+f5NOfuXvRKI8Q0NXVwAvPn55RhzE6kuW5Z0/ymcZ7CIUWT49JKblyeZRvfP3gnFYLy8XISBbf86mpjd2WUOCVy2Mz6mWgUtjc3JJaFrHNZktkMkXq6uK3VRQ+MZ7n8KHLs2peWtuqb4uAdUVvrwvwVqFpCtU1UQxDm3FO6XSR7ovDrF69NMLs+5KLF4f50hf3Mz5xa+7MQigE9PZbWvfnePegKQod0dkK8y3hmZOqqWq0hmeSWVUotIRTM5YNYpAwZrdPJ4wQidTCbdUCgePP3yF4LbX8cP1uWkK1OL5LgACv9vXg+ZLO5ioCps7JCwNMZIu0NiRprIlzqX+cvuE0a1prFowpn88O8Uz/CUxVZ0dVKxeyw0gkn+ncy6ujF6gLxtiSbObNsUtM2gVCqsGdNau4kB3mTGYQy/foSPezOlpLTA/y9NWjFFwLT/rYvkt3bgTbd1GEYMIuUHJtjqev0leY4MjEFcKaQXM4xeZEMy8MnWFHqpXqQJQNiUZeHj7HcKnSNd25xGLqa/iZIjwVAtDCjurPkbYv4/pFVCVATG8mqjfNaJ3/OZYGIQTJZJgnntzO2bODjI5cb993HI/nnzvFzp3tbNzUvOiEs2lzM4lkiJHhmdt45pnj1NTGePSxLQSDxpwTspSSctnhwvkhvvTfX10xddyDb3Tz3LMn2bCxid27V9HeXk0gaEw7oS/s8iuxLJdLYLTeGQAAIABJREFUl0b4/N++xOjozAhPMhliy5blEYS+3nG++IVXqKmNsXv3KtatbyQaDaDrKqqqLHo8ruszOpLlH756gFMn+2cQVFVVuOOOjmWnD2/EUttXVxpCCFpaqqitjXH16sSMv/3wB8fYsLGJlpbUvOd27bs6eaKPL3/pNc6c6V95me6f4+dYItrC9bw+fpKB8jiP1u/hYv4qr42doK84zPPDb3F/zXb2Vm/m9bETvCEUmoI17Kvdyfv2zEwjt9TNbFn/2PtmZz5uxuZkM4pQcKWHJhQEgiozwlMt20mZYRJGCE2o3FWzmiozwpiVI6ybKEKgorAj1Y5EoisqhqLx8bZd9OTH6IhUs6d6FTEjSMqIAHl2VXWwPt4AAjSh8HjTFgxFne5C21XVTlgzWB2tRRGCzYkmQprBYDGNoWgYy+w8/pmb4YVQiOgNRPSfG7ytFIQQlTb1u9fw3e8cnpGSGhyY5OnvHKaltYpYLLjghFxXn+Cuu9bw3adnbiObKfGlL+7nUvcI99zbRX19nGCoQnwcx6NcchgZyXL4UA+v7j9ficr4EsPQSKXCDM3RqrxUlEo2p0/1c/bMAD9+5jh1dXE2bGxmbVcDtbVRotEgZkBD11QUVcH3JY7jUSxajI/lOXr0Cq/tP8/QUHqG8rKiCPbevZam5uW1HLuez+WeMQ4fvsz+V86RSkboWtfA+g1NNDYmiMWDhIImmq6iaco0ySmVbDLpIufPDfHyy2e51D0yIxIiBGze3DxFTJd+PL7vUy47OLaH43q4zvV/XdefciT3GBrKzPK08n3J5Z5Rjh65gqar6JqCpqlTv6tTv1c+C5j6ooKBrW3VrFvfyMDA5Iz759zZAf7ivz7Lhz58B52raonHQxiGiu9XSE42W2JoMM2B1y/yyivnGBnOIiUEgzqpVITBwfQs8ch3FxLHt7C8PJZfxPHLuNLGly4+/pSWg0CZUrjXhI6mmOhKEFMJYSihOeU+3muodKUWsbw8tl/CkWU838HHm9L/qaj4q0JFFQaaMDCUIKYa/idzjvNhe3ItqyJNKELBUDQ6w43UB6rwpY+haIQ0kx3JLtZGW3B9D1M1bqlVfS7UB+PUB2dmBW4sDN6YuF53tjnZPGO5rng9XfGZNUJtkWraborEbE3N1mTaWdU+67OIHmB39XW5GU1R6YrV0xVbegfwjfiZIzwrDd8bwCp8AeTMwVzVN6MHH59XErwCiVX4Cr57Ec3YgxbYh3iXFVVvFbqu8vgHtnHozZ4Zb9i+L3l1/3nuvGs1D+5buAsuFDJ49LEtHDt6hcuXx2b8LZMp8cMfHOMnPzlNfX2CeDyEpiqULZtstszw0MyWZEUR3LV3DTt2tPFnf/rMzbtaNhzHY3KyyORkkbNnB6ePt6o6SiRiYpo6mqbieR7lskM6XWRsNDfLzgEq5GLjxmaeeHL7LaelfE+Sy5bJZctcuTLGj390Al1XqaqKEE+EME19elK3bZdstsz4WG5eXZna2jif+ORd1NRGl5ViGxnO8o2vHWRkNItlOViWO/XjVH7K7vTnNxdDe57P1792kO98+zBmQMM0dExTm/qp/G5M/btrdycPP7J5QXPaa/fP8WO9jNwQaXRdn7fe7OHc2UFWra6IYgaD+lRnl83ISIbe3nGymespUCHg0ce20NXVwF/+txfIZG61W+v2UdFukpT9AsOl8wyXLzJp95N3xyi4k5T9PI5XxJkiPXLK0qdCdqZIgBImoEUJqUmiejUJvYEqs41qs42AGp0WaX03Cosl8po4G660mbD6GLV6GLd6yboj5J1xSl6mQnxkCc938fGmzlFFFfr0OQbVGCEtRVyvpcpsoz6wlqTZjDLVdbjS5yelRC7BP2uu6+v5BSZLP8bxRkkE980ocDcUnWrzenQmpAUIaTPnElVA0pjdCLHSx/nThJ8awlMZFMpIWZqSon5n2L30czjlF5B+BrCRfg6w0YMfRg88BIsQHqf8DK71IiDRzHvhnyjhAWhtreLxJ7bxhc+/gmVd744qlx2+9c232LSpmdq6+euJhBCsWl3Lp3/5Hv72r19iYGC2+WO55HC5Z3SOta9D01Tu2N3Br/4P92GVXYJBY0HH7FtFsWhT7B1f1jqaprBlSyuf/Y0HaWpKrujA4jiVSMpyIlqKImhsSvIr/+xetu9oX3Y6K5st8eqr52cQjOWgkkpypu6X+WuuIpEA+x7auCDhAdi4qYlPfPJOvvD5V2bVcOVyZY4eWbyQPRQyeN/Dm/jkL+2lbDmkqsLvCuGRUmL5ecasy3TnDnCleJS8M47l5/Hkwt2HEoknbTxpY/l5cozC9CMg0IWJoYYIKBGqAx20hLbQEOwiqtUSUKMrFi1YDK5vU/AmmbD66C0cob90mpwzOhW5Ki04SVfO0ceTDrZfJM/1Z1GgoCtBgmqUKrOVNdG7aQltIarXoq5g6YInbV4c+Sv6iyenbIlmQxU6e6s/Q0dk14x+r7JzkaJ9gprIJzHUxeVYbge2X+THg/+ZcXv++18RGvvq/gVNwYW7nqSU+Pioc8yxJc8ioNyaDMQ7gZ8awgMOTukZXPtVAtHfQ6jLq96+VShaO+Hkf0XKDL43jlX4PJ79+juy7/caDENj30MbefNgN0ePXJlRH3LxwhDf+95RPvXpvbO8mm6Epqnce18XgYDOl774KufPDy4rnRAOmzy4bwO/+Mm7aGhMMDyUobExQXf3yOIrz4GmphQNjQn6r07cVosyQFVVhAf3beBDH7mDhoZbk4NPJcO0d9QwOZmfZU66XIRCBrv3rOIXPrqLrnWNK+Le/m7DNHUefWwLhqHxlS+/NkMUcymorY3xoY/s5ANPbCcSCeC6PvUNCS73jN72978c+NKjr3iCU+kf051/A8u/tQLquSFxZBnHLVNggnG7l3PZlwiqcZqCG2kLb6ctvIOE0fi2ER/HtxgqneNy4RBXCocZKV/CZ+V87yQ+tl/A9gtknCF68m9RY3awKfEIXbH7CWsro16tKSYpo5mT6R/hyvlfqs7nXqE5tBFTjSClT9E5w3jxaSy3l4J9HD1Qg+VeJVt+HV8WiZg7Cekb8WWRbPk1bK8fQ20gEXwIxxslW34FCUTN3UsqkB8onaGveIyiN//zUGuuIqItrkied4ucy/WwPbl+mvRIJKPlCV4Ze4snG/dhiJVT9V9JrDjhuSad/04zPCnzOOUf4jqnCERnC5C9XRDCRNW7po6hhFN+lpX35155CAHRaIDm5pnEsL4+jq7denSs0qa+g2y2PEsl+eyZAQYH0ot6Gmmayu49q2hpqeKVl8+y/5VzjIxkKZUcHKeSGpGyco9pmoJpaoTCJuvWN7Jv3wa2bmsjGq1E1kJhg42bmqdb5oWAVFVkyeezY2c7/8f/+WFOnrjK4SOXudIzSqFgYdsujuPheT6eJ2dYRiiKQNNUDEMlEDCoromyc2c7u+9cTWdnLcHgrQ8GjU1JfutfP8q5swO8degyF84NksmUsGyncjxTOjo3kkRFEaiqgq6rmKZOPBFk48Zm9t69lq51DSQSoVt+Xg1Do6EhsSI2IgshmQwv+RiDQYOHH9lMW1s1zz93isOHeshkSpTLTkX3yJcIUbHbuPGabN/ezoP71rO2q2GalGuawrZtbQz0T+JNeXRFY29fN6eUkrw7xvH0DzmdeZ6MM8w7VT1d8jJczL/GlcJhGkOvs6/uc1SZK6eULaWk4E3SXzzJ2cyLDFsXyDnjyHdgxJT4jFjd7B/9AleLJ9hd9YvUBjpXpM6nPbyTo/r3mLDnb5ToLRxl0h6kPrgGEOhqDabWii8tgvo6FGHi+mnUKXfx0fxXaUv+eyaLP8T1JwibO1AwKsSi8PcYagO+tBgt/AMNsc+hKfNHzj3f4XLhEGVvftVwgUJ75A4i2uJSCpZv89zwq7jSZWdyE6pQuJTv4x/7f0yVkZi3+6vkOAzl8jTHY+iL2Fu8XVjxUepc7hRJo4q6wOyi4J7CRUwlQGOweY41bw/ST+M5J2AOw9CfNXi+z0g5x9VChnGrQNl18aSPpigEVZ24EaQ6EObufWu5/4GZOkhCCEzz1m8LIQT33NvFrt2rmD1QL33bqqrQ1JzkY5/Yw+NPbKOnZ5QrPWOMjmUp5C08z0fXVWKxIA2NCVavqaehIYFpajPSMpFIgM/9y4dm1I8sJ5IRCOh0rqqlvaOGxx7fQi5XZqB/kqGhDBMTBXK5EuWSjeNMCQgqCoGATiwWpKY2RktriuamFIGggaYt3EW11OvS0JigviHO3fd2USrZDA1lGBxIMz6eq/iHFS1su+JFpEzZSUSiAaqrIjQ2p2hrqyYaDaBpKkLc3stJa1sVf/THH3/bvOauQdPURdNZM5dX2LCxiTVr6xkdyXLx4jB9fRPksiVKZQdFEQQDBqmqMM3NKTpX1ZJMhtH12YXRT31oJ49/4LqFwbUOvZWHJOsMsX/0C5zLvrKiEY/lwJFldGESUlfWlFLicXDsHziZ+RG2X+bdaIOz/SIXcq+SdUZ4oO6f0xzafNvbjOjVdEb2MDExP+Epemm68weoC6yuWLyotQS0djw/R9jYiJQeRfsEZfcKighgu31IPIrOWarCHyKkV9JMnp8hbx0mYmwHwFDrF3VKzzjD9BdP4S9ALCNaivbwDtQlRGYSeoyH6vby46H9CAQB1eRb/c+yKtzKE40PoM2TMjwzPMqXDx/jdx+6n+rwrbmd3y5WnPC8MvY8m+Lb5yQ8hyffwFAMGoMfu+39VAZYB6SNxMaz38L3xxEihe9NcPOpCREEEZljcJeVin9pIbFAelQeRKVSQCyCU/VA705OUkpnqi7IBWEgRHTO+iQpJY7vcyE7yvd7T3Fo/CpDxSxpu4TlXSM8KqaqEdNNkmaIhmCMzalG7m9YxfpE3Yo5W6uqQih0+7VIlQiOSjweYtu2NrZtW/7bZoXA3V549ZrzuKoqmKZOdXWULbMtfN4xCCGmfLEUDEMjHg/R1fXudB0qijJLIfu9gGvPuWFoNDWnaGq+9RS3ri+PbN0KpJSknUFeGfkbLuYOvGtkB8BQQnREdhFQl1YQu1QoQiWu1+FPj7HvDiSSofJ59o9+gUfqf4uksbhkxkLQRYD2yE7OZF+g4E7MuYwnHXoLR9iSeIyoPlvrR+KQtw+TCDyEooTITZmy6motJecsuloH+GgiRkDrJB58AENrAemiLhDd8aXPqNXNmNWz4DlUmx3UB7uWdB00RWV7Yj2u7/GDwZfIuQXuq9nFw3V3E9Zm2slIKbGnnOtfv9LHRLHEeKE4LQSaCAbQpl5QfSkpOQ5lp3Lvm5pGyNCvW2m4LmXHJajrlFwHx/PRVYWwYUxvY9FjX9JSKwRfSkreCnkbySJO+Rkcaz++243vXQFZQsohChO/ws3uh0bwSQKx/5WbiYvvXsV1juHaB/GcM0hvGPBAiaFqq9HNB9DM+xHK8t2WbxdSOrjl5ynn/xzp59CDTxCIfA7E7IGo7Lk83XuSvzl3gKuFNLY/m807fkXiPO9YDBSznJocYv/wJU5ODvIfdj1J1PjpEl58J+FNkc2MXaYjmqI2+Pa4/f4cP52w/SKHJ77FxdzrC76J34xrHUqaMFGFXjEllRIfD1faOH5p2dGUmF5Le3jnnOOdlD6OX8Snkq7WRQhVWZpfHgg6o3s4mXmWUevSko+nsqZAV4LoSgBNGNOpKF96OH55qpB7eSRxoHiaNye+wX21v05QvfXnVQhBXWA1DYEuLuYPMN+1Hrd66S+dpku7t+KJplZN198IDOLBfeTKB9HVWiLmroobQegJJkrPMJz7PAGtjarwR6iOfJxM6QV8aRE2tpIIzl/w7PplevKHFqwvUoVOZ2Q3+gLCu+PWJJPOzMaEpBFjfWwVb06coC5QzWB5BEPoNIfqp2u/fCk5cKWP7546x6Gr/eRtm//9mefQVZWQrvP7j+6jMR7D833OjozxtaMnuDg2jg+0JxN8bOsmtjTUo6kKB6708fVjJ9nb3srB3qsMZnPEgwE+sW0z93a0YWiL05kVITye9BguD+L4DkWvyLg1xpXCjYxSknUz9BZ72BC//RAiVOplXOcovttd+UCEgElARag1CGa+dYp5WLBV/ApW4W+m2so1hBIFoSPdS/jOaZzyjzCCv0gw9jsg3rlJTEof13qZUu5P8N1e9OBTmOFfRihz+DH5Pt/vO8WfnniRcatitqkKhZpAhLZIkqQZRCAouDaDxSyDxQwlz8WXPp6UrI/X/Zzs3CbGrAL/8cRPOD05xL/b+j4+2Lbp3T6knxrk3Rwvj/6E5mArG+Ob5+wOmQu2b/PWxEHG7VEeqn2UkPbuhNEXg5SSnsKbnM2+uCjZEQhMJUJ9cC11gTXEjQZCahxDCaEpBgoqEh9Pujh+ibJXoOhOkHGGmbD7GLOuUHTTSPx5O6A6wrsIz1PLMVg8wGDxwHT7cmv0IaoDSx/To1oNXbF7GRu9PO/+K95VKkE1Nt06HzfqCWspTCWMoQSnRWI96WB5BQruOGPWZa4WTzJu9y7axQbg43Eu+zKdkT2sjtx5g4P98hFUY3REdtNbPIbtz93RV/Zz9OTfpD28k4AaIWxsImxUxgkhFOKBe4nfZMNhaI3UR39txmc3rrcYcu4YV4vHF1wmolXTGt42h2PYdewfO8zzw6/N+EyIitZT2s7yxcvfQhcatYEqfqfr1zHVyvyrCMHq6ip+accWHM9jKJ/nc3ftIh4IoCoKqVDlmRzI5vjDZ39CbSTMp+/YhioEL1y8xB8++xP+5IlHWVtTTdlxOXR1gKLt8PiGLpLBAC9cuMT//fzL1D71OJvqF1dTXxHC4/our4+/RG/xMv2lXkbLQxzPHLp+YQAfSVKvYmv8jpXYJUJJEoj8a6CiK2IVv46V+y8IpZpQ/I9RbnDxrawQmvML1fTteMYdaMZdaMYuhFoLCKQ/iV34MnbpWzjl76KZezGCj63IsS8GKR1caz+l7J/ge/0YoQ8RiPw2ijpbbElKyYXsKJ8/f3Ca7LRHUnxq9U7uqeskbgSmHWw96VP2XCatEicmBzgwcpnBYpb3Na2Mg/rPKqSU9OXTnMuMUHBt3Dmiaz/HrSPjZHh26Bm2JXfSFV2PusSCR9d3OZM9xaXCRe6tfoAQ703CU/TSnM48T2mBolKAkJpkbeweNsT2ETfqMZXIVFRn4UHelz6utHD8MmUvz4TdR3/xFIOlM2SdYQpeGn8qOhJUY3RGds/buj1ceov26GMYagwQBJZZ56MKnY7wLs5kXrypRVoQVGPE9BrqA120hLZQE+jAVKPTESzB/MrmUlY6z0puhr7icU6kf8hQ+cKixMf2i5xKP0traBumenv3R0d4J8f07zFidc+7zOXCITL2EIHg6nmXWSlIJFcKhym4s+U9bkRHeCcRbWGLhvtrdrE9ubCOGoAuVHTl+r0jhKApHqMpHuMHZ85Tcl021ddREwnPWO+VS5fJlMv87kP3saWhMs91VqX4vR88yw/PnGdtTeX4XN/ng5vW8+SGLhQhaEnEOdo/yP6eK6yvq0F7JwiPqZp8sPFjDJUH+Gb/39MQaGJNZP0NJw2mEqAp2EpUW5m8sBAq4gZzvkrkQ4DQUNRaFLVx/pVvgBZ4CM28B6HcfLN3oCg1eO5ZPOc0nn0Q3lbCc/3twrUPUMr8Pr7XhxH6MIHo76DMo9PgSp9DY32cy1TarmN6gP9l84M80tw1b0tpczjB5lQDH+/YxrhVJGW+NyeCfyrwpeRSboyRUo6A+t5sx/ynjKSe5Kmmj9IUbJoxmL5XkXfznM+dYW10PRFt4Y5AKSUj5YsMlM6yUNoprtdzb82vsjq6F01ZXs2UIhQMEcRQgoS1JFVmC6ujd+H4ZYbLF7laPMHV4nEGSmdpDm2hymybl1gEtVpUYRLRGm8pIiKEoDrQQVtkB5MT/fi4JI0m2sI7aAtvozG4kZCWWDDaMN92DRHEMILE9DpaQlt4Y/yrnM48v2A6B2CwfJZRq/u2C5hDWpLV0b0LEp6im6ancJC6d4Dw2F6Ry4XDOHL+ruWAGqUtshNDCc67DEDCiJFYosjhreD08AitiQRN8dj0vdcYi9FZleL44ND0cslgkOZ4bNphvjocpr0qSff4OL7vwyK1PCs2euiKQUuonbWRDdQFGtie3LX4Su8BCKFOpcPm+JsSR9XW4TnH8f3xZTkuL/9AAoDEtQ5Qzv5f+N5VjNBHCUR/a16yA2B7HmfSw9P/31HdzM6aliXpZ2iKSt3Pa01uG0XP4dj4AN47KdTyM4SQFuaB2n3v9mEsCVJKBkv9fG/gaT7b2bQo4fGkw1D5AmVvfuFGQwmxu+rjrInds2KieQKBoQRpDm2iKbieTfFHmLT70RRjwXoWy0tzbOIvMZTKMp2xJ6gL7ljWvlWhsT72IDlnhJbQFlpCW4kb9egisCLjqxCCmFHHvTW/isTnZPrZBQUMy16O3sIxmoIbbyutpQqdtvAOTqR/SM4dm3MZic+l/EG2JD5ASHv7TJ0rRLqbsfLCxco1Zif1gbXLuu5Ft8SB8WNsiK+iPnC9APtU5iIZJ8eeqi1LTjtfg+NVuohvnLcURaApCvYNHbaVrtLr6ymiUr7h+vPJPs7Eir8u3ZG6E+09Kjo0PyS+l8b3+pD+GFIWKl1bsoDnTYVdpQP43FwMvVIQIojnnKSU/QM89yJG6BcIRH8boSyswOlJnwnres64IRQjoi21iHD5qOiE2HRnxxgsZsg5FkIIwppBfTBGZ6yKuH57A1fBsejOjXO1kCbvWIAgole2vypWRWyZ25fApFXkaj7NcDlHzrGwPRddUQlrBjXBCG2RFFXmrenRZOwSRyf6F1/wFiClpOg6XMqN0V/MkLXLQOV61wWjdEZTJG/xuH+OlYePT0+hm5JXnFd590a40mLcWlj9ucbsYFX0zhVVCL6GSppII6JV4eeDlQklOP+kvz7xKQruMI6fJ6TVEtSqcXybnsJpqox6kkYtF/MniOtV1AXmlx+pD6zh8cZ/U0nJcftyDXOdV0CNcUfqYwyVLixYJO1JhxGrG8svELjN4uUqs5WW8FZOZ15gvojdhH2V3uJRuqL3vW3PrScd+kun5iVeAJowaA1tXZL2zo0ouCX2jx2iOVQ3g/CUvTIHxo+yM7lxzrSzIsSUxcVsNCdi7L/US96ySIUq0aa8ZTGaL9AUv/6d5C2bXNmeDj6UHJfRQoFN9bXT3VwLYcWfoBqzMkEvpMvxXhmcpZRIfwi79DSu9RK+N4iURZAu4IP0KuTnHYDvj1DO/Sc85wRCbcQIfQKh1C16rYRgukYHoOw6uNIDVpZ0SikpuDYvDXbz3d6TXMyOMWYVKLr21OCiUWWG6YimeH/LBvY1riFpzG8WWvYcPn/uDY5NDJA0Q3xu3V7qQlEOjV3la5eOcDo9xGgpT8mr5OADqk6VGWZNvJoPtm5mX+MaAqq2YE6/6DmcTQ/z/MAFTk4MMFjMMmEXKy2NfuWNIqBqJIwgTeE499ev5snWjdQF5/eTcn2P4VKeK/kJLmXH6c6N0Z0dpyc3Pn1ef3fhTX7cf27O9QXwWMt6nmpbOHwupaTkObw63MPTV05yLjPCaDlP0bWnr0fKDNEWSfFIUxcPN3VRHZhbnK+v2MsPB7/Ho/WPU/KKHE0fJutkSJlVbI3voCPciXZDqmioPMjLoy+yOb6FOrOeI+lDXC70IJE0BBq5u/o+Ekbihutc5GTmOOdzZyl5RaJ6jI2xzayJdhFUr4fKpZTk3CwnMye4lL9A3i1gqiYpI8Xa6DrWRtdNvxl60uNo+jBvTRzElz4+HptiW7i7+l60ORySy16Jc7kznMycoOgWqDZr2BTfMuf18KTHaHmEY+nDXC1dxZceDcFGtiZ20Bhsmj6GcWucb/Z/jXur78dUTI6mDzNqjaIrOqsia9ie3ElErUhd5N0cb068QV+xl/O5s+TcLP/Q+2UCaqUZIGEkeaj2EWoDdTcdi0veWdiepC6wBmNWyn0mpJS4jke5ZON7EgREogEURaFUtLDKLrquEoqYWJaLAIyARrFgYZo6juNx4PnTpGpjdG1uJhoPIebQGpq0ztNffBVV6KjCpDP2BD4mRyZfoTW0lk3xPRwYf4Z10Z0LEh4hFPQFbXduH0IIEkYDmxKPsH/k7xZM7eScUQpu+rYID4CphOmM7OFS7iBlf+6arLKX53L+LTrCOzHVpYugLgclL0tP/q0FI1tBNU5HdPey52NPekgkQXXm9xfSgpQ9a16iXxsJ80ZvH33pDIaqApKoaaIqCvd0tPPdU+d44eIlPrC+Up/zyqUrXBwb59/tu296GwXb4fkL3XRWJYmYJm9c6ePKxCS/umvHdJprIaw44fGkx4g1xJg1guvPLhirMmpoDXes9G5vCdIfopT9I5zyswgRRNU3o2rrULRGhKiEG+3SN3Gtl972Y3FK30FKFyHiSG8Mu/hVAtFWhFI1M4Z3EzSh0hC8nls9kx5hpJQnopkrRiyllAyXcvzVuQN8r/ckE1bxplu6QoYKrk1fYZKjE/0cGuvjX66/m+ZwYu5Jx5ccmxjguYHzJIwg99R3cmj8Kn9+6mX6ixn8mwjzjds/MTHIYCnLL63aQUibu57Bk5Knr5zkL07vZ8wq4CzQpp9zLPoKaY5PDHJ0op9/u+UhWuY57sv5Sf7NwafpzU9iey627+HeIPzlScnp9BCn00Oz1oUK4Vkdn63DcTPGrQJ/d/4g/3j5OOPlAj5zX4+rhTRHJ/p5c6yX39x4H+2R1Kw3nbyb43jmCIoQTNqTBNUgEsnx9FFOpo/zoeaPsjm+dXqiL7oFzmZP4U51XU7Y45iKge3blLwiO5O7gARSSjJOmu8OfJsz2VNUmVUYisl4oYcT6WPcU3MfD9U+gjk1MBa8At/u/0fOZk9TbdZgqiYZp0R/6SoDpX46wqum3wwFgqgWo8Zlbp9kAAAgAElEQVSsZdwe48jkURJ6suIGfhNc3+WV0Zd4bvhHRPUYST1JX7GX7sLFWWOQlJLu/EW+1f91Cm6eKqMKIRTenHiDY+kjfLjpY3TFKpL5Zb/EicwxXN8h62QxVRNN6IxZI5zMHGewPMCTDR8ipIWwfZsJe2L6+AQCUzWnCZ+pBOZMM0vpY8uFpToMNTzdFbUQLpzq50ffeJO65hTpsRzv+/BOEqkwrz1/mtxkEc/3ed9TOxgZSNPfM8qmXR0ceOEM9zy6mbHhDPt/fJJUTYzBvgke++gdGHPoVw2V3mR17ClMNc5A8XXGy6dJBraT0KuYdEaYtEemzlUl76QZtq7iSZcas5GEXoMrbYbKfRS9HGE1RmOwg4wzTtkrkHezRLQYdYEWss4ko9YAhmJQH2irKAxb/XjSmyKobQSXQBZUodEe3slx/YcL+kgV3IkF04pLhRCCttB2kkYTg+Wz8ywluVI4wqQ9OC1EuNIYsy4v2vrfFNpIQl++fpeqqEgk41aapmA9ihD40me4PIamqPPWX93T0cbzFy7xx8+/RFU4RNQ0+Z0H76U2EmZ9bQ2/tnsHT586y4sXe1AUhXzZ4sObN7Cn7bqzelUoyEi+wO//+CeVeyJf4IkN67ijpXFJVV8rTnguF7r5Vv9XGSoPIJG4vo2m6Ni+TVJPsa/2sfcE4ZHSxS59B6f0I4QSIhD9bfTgB1GU6x4r0s/h2q8tsJWVhEkg8lmEEqOc+8/YpW+jqE2Y4X9eEU2cB4aqsiXVgKGo2L7HhewI375ygt9Yt5ewtjImbkXX4b+deZWvXjqCJ30MRWVdoo5tqSbqQtFpQvTmaC8Xs2Nk7DLfunwc23f53a0PUx0IL7j9vGvxjz3HuJKboL+QIWWG2Fndwpp4DWHNIGOXODLez9HxfizfZaSc52/OHWBNrIb7G1bNuU1VCGoDEWy/0n4f1gw6o1WsjdfSGIoR1gyKnsPF7BgHR64wPhWtemHgPC3hBL+54T7C+mwyJaVEEwoRzYApsuVIn9FSHh+JABJGiLA2d4RNCEHcWLhAsOy5/PW5A3zxwlvYfiX11hWrZkdVM43h+FR+Ps+hsT4uZEbJOxY/6DtD0bX5/R3vpz40u7jQl5KeQg+fbP00ayIVgbFzuTP8Q++XeH74x7SHOqejNgCO73AsfYQ9VXt5vOFJkkaSsmdR9AqkzEoI3JMeb0y8zsGJ13ms/gPcU30/IS3MhD3Ot/u/wcujL9IaamdjbDNCCNL2JIcm32RXag9PNDxFVI9heRbj9iie9DFv0HNRhMLaaBdro10MlgY4lTkx7/XqL/XxytiL1Abq+FjLJ2kMNFH2y7w+tp9v93+DhHH9mU47k/xo6PsU3Dwfbf5F1kTWogiV8/mzfK33Kzwz9H2aQs3E9evX4lzuLI/WP87d1fcSUsOMWqN8pfcLvDl+gLtSe2lR20gZVfxC88dxfZcv9X6ec9mzfKjpozQGmxb8roFFC3TLXg4pF+/8KxdtFEXhqc/s5ZVnTtBzdhBFVTjy2kU61zVw+fwQF88McNe+DVy+MMQ3/vZl7nl0Mw2tKZraqzl3rI9Nd3Sw6Y72RfelCL2i8Ds1vgS1CGPWIJPOCGEtjio0Cl6OCXsY27fozp/ksfpPcS53hMHSZarM+mkH71PZg0zaIzQFO1GEQsHNcXDiOeJ6FZZfZMwapMZs4rmRr7Mlfhdj1iAZZ4Ktib1LsoZIGk2kzGbG7V7mSzOVvTy2X1yROs2AGmV19K4FCA/k3FF6i0epDXQiVrhMQkpJd+4Ajj9/REsVOqsidy5arDwXIlqIjnAz3xl4nnE7TZWRYNga54Xh17m7eieaMvf5rKmp4g/f/xDnRsYoOS6pUJCIURlDA7rGR7dsZFNDHd1jE/hS0ppMsLGuloB+naYENI1P7ayovo7mC1SHQ2xvaiAWWFq0cMUJz+H0G6hC4bOd/4pJe4yj6bd4pO5Jeos9nM+fYW108da2W8Fyq/qln8GzDwNlVOM+9OCTKMrMFkspbaS/PPPBW4UeeBAj9GmEEkL6Wcr5P8cqfBFFbUAPfqii+jwHFASbU43sqGrmjdEreFLy5YuHSFslPt65jdWxGoLzTL5LgeN7PN17gu/1ncKTPjWBML+yZjdPtG4kaYQwVRUJ2J7LcCnHl7sP8/WeoxRdm2f7z9EVr+XXu+5aML/q+j6vDfcghGB3bSv/Yv09rE/UEdYMVCFwpc9Euch3ek/wV2cPkHXKjJULfOfKCe6ua5/zARNCcFddO480rSOk6zzQsIa2SJKIZmKqGqpQ8KVP0XU4NtHPn554kVPpIRzf5/t9p/loxzZW67NbNdsiSf7TnR/GuyGqcyk3zm8f+DZZp0xA1fmNdXfxaPO6WeteQ2wBzSPX93im7wzfunwC23dJGkF+afVOPtK+lSozhKlWHlnb8xiz8nyj5xhfuvgWOcfipcFuvnrpCP9q432zrrcQglWR1WyIbZqONKyJdLE5vo39Yy8zao3MIDw+kmqzmgdq95HUUwghCKohklwnD2WvxOHJt6gPNLK7ai/xqfXrAvXsqdrLudwZzuXOsDa6DkMYGIpBRIswUh5m2BpCExohLUxL6Nb9mq5FbApunn21j9ASbK3UlIkwWxPbOTjxOkWvOL3s1VIfl/Ld3F19L5vim6cnzDWRLjbFt/Da+H4GSv0zCE9DsJLGi+mxqfOrY31sI+dyZ8i7t2fqqQiVwCKRiuHSecp+AWMJbdPV9XFCYZNgyKCQK+N7PqvXN/LAE1uRT2wjURWeVuoulxxU9Yb6GcEMC5a5UB/azfnM1wEIqFWsit05pRwkCKkRxq0hgmrlBSdtj5FzKi3Rg+XLSCSXC+fYlribpuCq6dSHgkJjsINtiXsRwNVSN650uCP1IGPWIIcnXySsxUnoVWxN3ENP4TSD5St40l0S4VGESrXZQXf+jen2+5vhSmtKoHFl0BHZxZHJp8m786crL+ZeY1P8kRUvXs46wwyUTi+YzqoxO6kLrLmlIu2AYvJY/X18b+AnvDjyBh4+mlDZmljHvTV3oMwTjVQVhdXVVayunrtmSFNVNtXXsal+/rrVimGqyfamW1OWX3HCk7YnWBfdRFd0A+dyp9EVgxqzjrZwJ4Plfs7mTr4tXlqVUxFTxcZLUdy8ZtkAipJEiAg3qzBLfwzPObniRzoXhAghhIEQJkb40/jeFeziNynn/hxFbUI17pzTUkIIQXM4wa+u3cOV/CSDpSxZp8zfXzrM6yM97Gtcy0ONa9la1XhLLdO9+Un+vvsIGbuMguDTq+/g17ruxLiJZOiKSqdu8j9uuIfBYobn+s9TdB2+33ua97dsoCW8sF6HK33Wxmr43a0PszE5U29IQ6UxHOfTq3dxenKYH/WfxZeSM+lhBku5ebcd0gz+t+2PYCiz/ZEqUDBUjXvqOpm0i/z7wz8i71iMlvJ0Z0dZHZtNeAxVozE8c4AquPY0wVCEIGWGaIncmhvzUCnHl7rfYtwqIBB8rHMbv7Fu76zUna6ohPUUn+26i6Fijqd7T+JKnx/0neZDbZtpj860UhBAjVk7I62iKzoNgUZc6TJuj7GG63pMCoJqs2aa7MyFrJslbU9gqgFeHHke44bamrSTxvYdJqxxHN/GUAySRoonGp7imaHv89eX/pLVkTWsi25gU3wLKePWlMw96THhTCBQqA/UT29DCEFIC1FlVlMs9gKVguJxa4ySV2SwPMB3B749vR1f+vSXruL6LuPWzEmqIdBAQL0efRIIIlplUneXqe57M1ShE9MXbkwYsy7Tkz/IluTji77Y3eiNpqgKazc1M/i9o7z27CmEIrj/8a2cOdKLbbn84m88yP4fnaC+OUVLZw01DQn2/+gEY0Np7nt8C7o+e3qoDWwnaazB9YuYahJVMci7GQAiWoKB0iVaQ2txpcPp7EF2px5GVwz6S5cAiT61vETiSQdVaBXSpwSn701dCeD6NrZvYfklQKAKFUMJoCtGZUKdp/h1PsT1OhTUBS07XGkjkct+eb4ZQgjiegMdkV2cSD8z73IT9lWuFo+zNnbvvMssF1JKrhZPknbmTqkDKKg0hzYRN+pv6VwrytJV/LOOjzBhpym4RaJahJQRf8/U586HFSc8qlArRU1SYgiDslfC9i2iIkZYizBhz181fjtQ1AYQGlLm8exDKGoDYqpbrFJALWeyWRFAqJUJzXN78b0BFLWiPyGlj/THsQp/h+8Nvi3HuxCESBCI/Ba+N4ZrvUQp+x8JJf4IVV/PXJ5eihDcW9/Jv936EH9+6hUu58fxpORyfpIvXHiTH/SdYW28hoca13JnbRuNofiCBb/X4PoeB0d7OT+l8bMhWcf7m9ejL/BWkDRDvL9lPa8N95B3bXoLk7w12ktzaOGHQSD4hfatrF2gviWqm9xd18HLQ90UXJucU+ZqPr0gmboWEVkIqqKwKdFASzjBmfQwEslA8fbz+cuFLyVHxq5yarJyz62JVfNEy0aCCxDVmBHg8Zb1vDR0kQmryFApy2sjPbRFkrOu91yDW+WZmPKTm/kHtEVE7TzpIoGsk+Fk5tisGpUas4a4cV1TRVd0dqX20B7u4Ez2NMfSR3h2+Bn2j73EQ3WPsCt157LbWSUSX3oIwax1BcqMz6SUuNLFx+dqsY8Je/bbd2OwabrQ+Bp0xeTt8tLTFJNasxOBMu8buSPLvDXxTUJago7wHWjzWDl0bWmhdXVFcHX73jX4vk80FuKDn9lLdrKAUBTiqTCrNzaxflsrkXiQeDJMeMr9/c4H19Oxth7D1OYtAO0rvEhtYBsDxQMU3H46Y0+iiiRhNUpMT1Hy8qTMOjzp0R5ez9H0fqJ6giqjHhBsjd/NiczrdOdPUm02sjP5AEE1gnlDaqXKqKUt3MVPRv4RTRhsiu9BEwZRrfKcG0qAsBZb1mQdUKOLLu9Lh8UsOFzPQ1UW7yozlCCdkd105w5Q9ObOElheju78G7SHdy4percUWH6BK4XD2P78zTZBLb6guORS4Esfy7MxFB19KvKZcXIoQiGqzd08YZVsCpkiqfpbM6WNmAZtyQTBJVhIzIe3pUtrxBrC8stE9RiudHlr8nVaQ530FntoD89dc3G7ULQuVK0TzzlBOf9f8L2rKGoT4CNlAUXrRDevM2khYmjGXpzyc3j2Iazcn6GZDyJECN8frnzunELRN+A7p+bcp5QW0htGygJSlpF+FulXNHGkN4Jrv4lQUhVyJUIoSu0cAoezIYQAtZlA9H+i5I/iOUco5/6MYPwP51Rbhsob//ub19MRreK/X3iTFwYvMGEV8aTPUCnLUCnLq8OXaI0keax5PY82rWNdom5B07Wy57J/6NJ0Ue72qRqSxR72jYkGgppO3rXJORbnMqM4voexAPmoCYTZVdOKtkiItT2awlBUCoDte+SclQlDx4wgUb0ykUiYaod/Z+FJn5eHLuH4leu9IVlPe3T+CMs1rE/UEdFMJqwiRdfhbHoEy3dnRPSuEZMb4UufjJOuFAjrM+t+ljKVhLUopmLSEe7kl9p+mfAcqRkhxIwQt6bo1AcaqQs0cHf1fVzIn+P7A9/hB4PfpS3cQUNgaYKh16AKlbAaxpc+2Zu8flzfoehel2xQhEJMi2EqJu9veIJ7qu+fc5s3E7dbeAdeUks6VN62awNriOm1ZBZ4K5+0r/L80F+wI/UUG2IPEdZm3hdCCMLRAOFohbzEEtfHmeq6ONV116OSgRvMXmsbr08+4WiAznULpwrGyycIa3VYXpqw1shE+RytkYfYnrwPAayKbOTGK7YlsZdrVFsgqAu0UBNogqlIikBhc/zOGfvQhMHm+F42xe+kQlsr38e1rq+W0GqaQ6uXRXg0YVQOa4GvZRbpnwPHuwdZ01xNNLRwzYgQgpbQFqrNdnqLR+feH5KrxROM233L1sKZc3tSknNG5t3fNdRMGYXeKjzpcT53mZdH32TMmsSfvm6C5lAdn2r7IMYc0jRXTvfx0tcO8Nk/+dQt7feu9lZ2tzYvqRtrPqw44dmW2MWVYqU6PKGn2Ja4g5dHn+PgxGuE1TCbYttWepcAKGodZuQ3Kef+X3zvCuXcn4K49mYmMMOfuYnwKOjB9+O757BL38QufQ+n/FxlHekglHDFqFOJUsr8wZz79N3zlLL/D77XX3FtlzbSr+SsXfsQXvoSQpgg9IoVRvR/Rjf3Lul8hBCo+gYC0d+ilPkDHOslRP4vK0KEyux0iRACVQg2Juv53W0P80TrRp4bOM+rw5cYLuUouQ6elPTkJvj/zr7O8/3n+VD7Zj7SvoUqc25GXnBtLmRHAdAVhahuMl6e2yfmRuRcC+OGNufRcp6y5y5IeJaqgxNUrxdie74/p0nqXJBS4kmJ5bs4noc35SNWiRBIJq0irj+z2+qdRtlzp6Npmqhc70mrxKS1cBdP3rWm2jwrqBRgOzMJj5T0FC4xao1U0kcIJu0JzmZPUWVUU2sunFaZC2E1zNrYOk6kj9FX7GVNpAtN0aYjKY5vY6oB1Kn0p+VbOL6DqRhoQsdQDNZEulgT7eKN8dfI2OllEx5FKDSFWtCExpncKdbF1hNSw3jSY7A8wNVSL8ZUREQRCo3BZmoDdZzMHGdTfCtxPY4yVc/l+A6e9AhrCxfZLwZTMSl7JQpuHl/6CAQ+PsocejNCCGrMdppDm8hmRhasu8i7Y7w++mV68m+yPvYgHZFdhNQEilg8WrtSUIRBf2E/VYGNSOnhyYoO1zXyMUf8edYnKjdH4mZfk8pnNxPPqQ4+oSybhFauz9LXKpQsuvvHZ9XCvXj4Ig2p2KKEBypRpVWRO+kvncabR+0564zQVzhGjdlRIWW3iavFkwvWDQkEqyJ7sYuQK+UQQhCNBdB0lVLRplS00XSVSLSidVYsWFhlB91Qp2UOck6R7/Q/T1gLUh+sYbA0wppIOyezF2gM1qEKpTIG2C75dAHP9QlGA0hfYpVtJoczSCmJpiIoqkI+XcApO+imTiQRwrFcrLKNa7uomko0FQEpyaeLOLYDEiKJEHrAID+Zx7FdgpEAoej8MijXsOKEpynYSn2gCW3qIbyr6j7qzAaybobWUDs15twRituFEBp64CEUrQXXehnfvYj8/9l77yg7zvPM81e5bs6dcwS6kbqRQRAkmINISpTEsWTZlo9lj9PuerzH/4x3ZvfshOPd45317ox3PXvGHstBtkxZokSKEjMBksggMtBoNDrneHOssH/cRqMbHdANgsF79jkSAdxbVbfqu3W/er/3fd7nsfPFzIpUiawtr5OKog/N83tI6j7M/AksaxZB0BClGmTtASSlDcsYRnV8BVGuY/kPRkOUqhFWUWpeeoLOFbutZHUPguBCUtrhzpS8ICNrD6N7ohRyR8FKYJvjsELAsxg+VedAaT2d4SrG0rs4On6TD8ZvcnF2jGg+g2lbdMen+E9XP2QgOcd/235oRcXlyUxRpA+gYFl898Zpvt977q6Xatk2sUWZl1QhN68NtDpCunPVFvPFEIWl0+Naek+33o/ls9yIT9ETn6Y3Ps1oOk60kCFZyJEzDXKmQdY0iObXDiw+bUxlkgvjZtgWP+i7wOtDV++6nw3E8rfHO23kl7XhC0DGTPPy0N/R7tuGLEhcjF5gNDvKY6VPLiEsrxeqqPJg+GFG0sO8PPR3bPPtIKiFMKwCs/lZZvLTPFryBK3eos1MV/wqH00fpdZZR0gNIwgCk9kJPp47Q4leSpl+O7uQNlJM5MbJmTkmcxOYtsFsfoZr8as4JAcu2U2ZXo4kSAtB07m5M4iI1LsbyRhprsQvLQQ7t1Cml3MofJg3J37Gd/v/C23edhySk7SRYjw3jiRIvFj5Eh7l3vRYREGkzlnPR9NHeXP8Z3QEJhEFCUmQ2ORpW/G4iuig3fc4Q+lLxAsTKxz1Ngp2lqH0RSayPVyOvUmL5xDVrm2E1OpVS133EzXuR4jnBwlpm0kZE5/JZ34eGJyI8lc/P019+VKCbf/Y7DLJjLVQ597J+eirzOVXFia1sbiZPEGb71Hc4sYEAO+EYee5mTy55jZepYyg3cSbP7nAzEwSt1vjwUfbcLl1jr59hVg0jWFYHHp0M263zrGj10kmshgFkyef20FlTYislSNr5vha1ZMkjBQXBYlnyx+iylnKzeQQpm1hGTan3zjPlWPdSLLI1gc34wm4GL4+ys/+4l3mxqPsf34XjTvq+PAfTzIxOIVZMHn61x6h9+IgF49exRv2EJ2I8eLvPUs+k+ejH58mncgwemOcr//3z6FoCufevUQ2ncfp0XnmO4/i9q+9WPlEAc8t1cTFUbAAC8EOgCpqbPLeX+fo4ufmEVAQBBF7wSBORlbakZX2dR5JQBT9RVPQVXyyJKUJp//frvJeC07/v9v4BQCWZXHm3atEKl6kvu2/WfJebDZJz8Uhtu5vQtVUVOdLqM6XsC2boz85y7YDcQIla/uaiIKAU1Zp9IZp8IR4vmYLH88M85OBywscmLSR55X+S5Q4PPzu5oPLUoXxQm5JN9It7ZeNwrAtrLvMEbqkrNrOeC8oZhksPhzv5Qd9F7g4N8p4OnG7M0QQEOfNCG/dvYszPJ8HkkZuifFoxiwsCC9uBIZlLZuUBUFgR2AnsiDx3sRbxI04QTXEk6VPcyB8aElgIAoimqij3sWzSRAEapy1/GLtr3B85kMuxy8SL8SQBJmAGqDVs5mQdpv4HVCCSILEidljJAtJwMar+Gj2tPJg+KElnVEjmWFeGflHYoUoeSuPKIj0pm4ykhlBFRXqXQ38s+pv4ZSduGQXXyr/Mm7Zw5XYJc7OnSaiRXggfIh4Icb56McLWQRZlNkfPohH8XJq9gQfTB0ha2VwSE5KtFJ2BnYvXLeIiC7qKIKybKkjCTK66FiBNySwxbedJ8ue4eO5M7w89PcookKTu5l6VwMelgc8giBQ4Whjm/9pjk9/b9VswGLkrTSjmWuMZboJqpVUOrfQ4N5DpaMdVXIishpR/5PBJVfgV5sQBBFdDt59h/sIG5vi/6z537FN8Ta3b70LC/+dv//nn1EFKwcbCFQCXgfffGInnS1LG2x+/MFlVGX985RHidDg3svZ2R+uus10boDRzFWalYOfiDA9mb3JdK5/jS0Eal0duKUSUqkJwhEPHbvrCZd4uXx+kA/f62LzlkpGh+e4enEYRZE4d7qPhqZSBnqn6Okep7KmmB2WRQlZlNEkjayZw8KmVA/z0fS5Ir8nnuPjty/z/G8/QWVTGZZl03uhH1/Ey3P//HEuf9jFzQv91GyqRNFkvCEP5965zFjfJKlYimCZnxd/71l++Cc/ZaR7jMRcklBFkAd2N/Le339EWV2El//310jOpQhXBrl24gYdj2yluXNtyZtPFPCYtsVQepx6922tif5UL5IoUeWoXZef02LYdgHLTiMKnjXb5WzyZLJHcWj7EAQP6ewRLDuH2/Ekn0LS6lOBbdn0XR1BEKC+balWh8vjoGV7DfIdPywbm+5zAzRurblrwLMYgiAQ0l08WtFCR6iKt0eu85+7jjGUipKzDN4YvsaTla1s8i8ta2TNwsKDUxIEatwBgtrG0/1N3gjKXequkiCy8UT16siYBX7Qd4E/v36C0XQMG3BKChUuH6UODxVOH0HNiUfRcMgKedPk+73n6E/O3rdz2CgWj7c4330X0TeuxNriK1nWRQfFEtQjJY9zKHIYwzJQRAWX7F4W2FQ6qvjNxt9FWYdJpSiIVDmqeb7iRR4rfRLDMhAEAUVQ0CXHEm2dSmcVv1j7K+TMHOZ8xk8WZHTJgS4ttQupcdbx7frvLOIHLIUiqkvIxaV6GS9UfpXHS5/Csi0UUcEte8hbOfaFHsC9KLOiiAo7/J20eDaRNTNYtoUkSCiiikNyIM+TOSNaCX/Q+i/RJX2ZXU5nYBdN7hb8ytJsqyAIuGU3T5Q+wwPhQwvjoYkarjV8tSRBYav/SVLGLJejb66pCrwYNiYz+UFm88PcSHxEUK2k0b2Patd2/Eo5uuS9r4FPd+wfaPW9hPIpKQQvhmWb5MwUOStF3kqTt9LkzBRpM0rWTFKwssX/2zlMK49h5zHtwsKfpl3AsPKYdr64vb1+Xl7E7ybkXT7XHdrRgNux/qyWIujUuXbSFX+flLHy3JK30vQkj9Pg3nPPGTPLNuhPnSVjxlbdxiF5qXN14nP6eOr5Dgb7pnjztQvseaAJ07SoqQ/z+LPbixIULpVTH/XQ0lbB4Se2YFs2/kBxPDRRxSO7iBUSlGhB5vJxjk6dJlZIIAsiAgK2ZWNZFqqmIIgCwnysGSjx4Q640FwatmVz4+Nehq6P8ti3DjF4bQTLLEqsltSE0RwqulvHMEwattXyyp/+nNmxOdr2t+LwOLBNm11PbGfT3mbMgkm48u4B+Lqjg7SZJWsuvWGyZo5jM+eXBDxHp99GE3W+Xv1L6z30AgrGELnCZVz642uK7YmChsvx+MK/LTuJZWe5G8P+iwZBELhxYZCR3kmqGkvZ/kALqUSWk29ewuHW2PvENjRdZGY8ysm3LiGJIunkvZN0RUEgrLv4esMOspbBH198j6xZYCgZ5cLsKK2+kiWToybKC9k7h6Tw663772qJsNrn3o2MfD9h2UVdn/945Shz82WqRk+IX2js5MGyRmrdgSV2HADj6TjvjHZ/rgGPumi8NVHmFxt38q2mXRs+zlrjrUkamrT2pKqI6pLMzN0gCAK6pC/rbroTkiDhlj245buXizRJIyKVLHltJDOKLuqEtOUTW1EnyLHEygKKGR3nHZwcYT6z55bda5p7yqJMRC9Z9votTSLHKp01giCsa5zv3MclBzkQ/iUUUefc7E/WHfRAMeuRMWOMZGKMZK7imgtQ5dhKrauDOvdOPHLknjRXVoJpF+6zcc2iY1sF5vIjTOR6mM0NMZcfIWFMkyzMkDbnMO2NZzzvBZIoIq0wXF0Dk+CF8g8AACAASURBVLTVl+KT1yfYJwgC5Y5WSvVmelcpN9lYjGWuM5Xrp/weycRJY4bh9MU1x8evlFPt3EYmneej96+RTt/2pKpvLOHy+UGOvH0FSRI5eHgzbVureOunFzjy1hVEUeCxZ7bj8Tlwyw6eLn8Ir+ImrPrZH9rB62NHkEWJr1Q+gSLK4HHQ3NnAq3/2Fm6/k9Y9TTjcOiySTQDQnRrRyTgnX/+Y+EwSeV4K4ZZW1C0YBZN8upj5nB2fwyiY7H22k7NvXWS8fwq338njv7xyE8JirDvgOTJ5hq543xI9CsM2yZtL06+GbVCuhtdsL7XtPKns22RyJxEEBx7HlxDFANHkn5M3bpDNn8fjfA5ZqiKZeRXLTmOak3icL6HIVSQzr5ErdBH0/B6ydGtitikY/aRzH+DUH0EAkpmfYZjTqHIjHueXEdfRIfXZwqaQN2jtqOPIj8/ij3ioaS4nUhng5BuX6HxoM7Ii8db3TxAu91NRH+HUOyt3jG0EkiByuLyJv7pxmsHkHBmzwFg6jmnbyItuMr/qQJqfJPOWSdLIr6Fp88VBxijww/6LC8FOtcvPH+54gv2ldcsCnVsw50nNnyd8qr5Q1jNsi2Qh909ivD8LWLbFB1Mf0uppXTHg+f8KdMnD3tAvENbq+Xj2FaZyvff0kE8Zc1xPHKUvdRrPXCl1rk6aPQ8Q0mrQxdW94u4GWXRyYfb/xq1UIiBS7txHQGu+p2NBsfScs1LECuMMpD6mP/kxscIYWTNRVD7+nBax8VSWy71jy0jLR87dpLYsgM+1foViTXTT6N7LcPoSeWvlpo9YfozB1HlKtAakFbzi1oJtW0znBhjP3lh1GwGRevdudMmL6bTYfaCZXK6AritESrxIssRXv7GP6FwKQRAIl3jRNJmv/MJe4vEMoiDg9RevWRZlWjx1C5SWvaHtbPY2IgkiPsWLKIiousLDL+1nemQGI2/iL/Ghu7SFLMym3U3Ub6nG6XUSqQljmRYPfnUfvrCHpo66BR+3w7/wAGbB5P1/OMaBF3ZT2VzGqdfP0XXqBjsf30ZlUxnpRAbdpaOsYIVyJ9Yd8ARVH9+oeZoS/fZkkzXzvDH+0ZLtyvVKkkYc0zZW7fO37QL5wk0UuRan9jCyVIYgOHA7niKbr8Dv/hUEwYVhjpHNncfn/haaun2epS/hdjxPrtC9iLsDBWOAgtGP2/EsilTOTPw/YNtZFLmGVPZtNHULurptvZf7mcC2oWlrDZs667l6upep4TmattZQUhlEkucDjUyeyeFZDn9lN5HKAMENlLLWglNWCWlOBpPFrrKcWZgvH9xe1pQ43HgVjalskrxlMpicW9bu/EXEVDbFlblii6+IwCMVzewtqV0zy5Q28mSNz2b1uBoiuhu/qjOcKipcD6WKweh6yNyfJ24kerCxafE0M56doDvRzRbfFnyKl6vxawSVAH7VT2+qj6nsNDYWpXopTe4mdEljOjfDYHqQSkclN5I3yJt5KhwVNLobUESF/lQ/3YkbXIxdIl5IMJ4dxyk52ObfSkC9N4HHTxNGweDiB104vQ5aOxtWNOFcDYIgoIpONnsPU+HYzOXoG1yLvz/fsr7xh3/eyjCT62cm18+l6M+pd++m1XOIGtd2NNG94cCnxNGxJMDRpXsf/7yVZSR9ia74EXqTJ8mYCb4oWfqhySg/OnKJzXVLy/xT0eRGqEBA8Tutc+/i/Nxrq/pbWZj0JI7R5nsEj3h3r73FMOw8fcnTFKzVmy50yUODey+CICDLEpXVyxcN/qALf3BpNjQU8RCKLM/I5s0C3ck+epNDpM0sHtlFi6ce33zpWBAEHG6d6taldA2Hu5gFdnodOL3FAKqq+Q4pBM/tYDJQ4iOXziGrMqO9E6RiaTKpLOHKILIiU1a/PAO7FtYd8Gzzt6AIMqIgUrAMbGw0SeVgpHPJdlt9Hbw7+XOOTR9lk7cd5Y7atypqOCQdt/M58oUrJNI/wKEdwKkf5PbD9nY6S5LCyFIZorAoPWwLy8hdhjmCKBS/LNs2sawEqtKKprSiKVtQ5Jr1XupnBlESGLg+SnVTKTPjUdr3NpJN5YhOJ8jM/xkuD+APe+i5NEg2kyM+d3/c2wuWSbJwOzvnVvRlmjwuWaU9UM7NeSfwi7NF4u9KonZfJMzkUgvt6qokUeMKrClAaNs2Y+k4U7l7swm4cxV4r1O2JslsCVRweT5Y64pOMpSK0uKNfKLxrnbW8jtN/4KItrGJdL0YTA8xkhmhxdPMxeglfj7+Ji7ZRZO7ifcnj3K45CGihRjHp0/ill0U7ALHZk5yuOQQ+0P7mMhO8MPhH1PjqkYXdQpWnmMzJ3i67El2BjvJWXnSZhrDNrGwMG0Tc5md6t1h2zbj/VMk5lI0bq9FWqlmcR9g5E0+eOU0ZTVhmjvqkTbITbv1XfvVcvaGv0GjZx9d8SP0JI6TNKbvuayTt9Jcjx9hMHWeCsdm2n2PU+3ahi66113ucsllzOa68Kn1yIJjRfX3u8G0DaayfVyI/pTe5Kl5bssXI9C5hdKAm199dg9t9Uu7in9+sgtd3ThP1CX5afLsZyrXx2rXOp3rZyxzHY+ysd9pyphjMHVhzW1qnNvx3UXRe73IWwXemTzOu5MncEo6TkknYaQ5MnWKr1Q9wd7gtg3zd9eC6lA5/NIBRnsnsEyLLQc3UdF4b9ey7m/OMV/KShppTs9cRhZlOgKbSBRSRLTbUf7V+EXGs6NcjH2MPuHAKbmWBCfb/Tt5uuxZ8oWeogWEoGCYxVZMSQpiWtOksu+gq7e4CyKL28FNc5ZM/iwFY5BM7hiCcBAAXd2NqjSTyryB6HTh0PaSN3oxrTlARBDWZy72WUEQBZq31TDaP82xn52neXstta0VjPROcvXUTVRd4dzRLg48vZ1HvrqH4z+/wMx4jB0PtuJ0f/JW0K7oBBOZolCbR9GodPmWBZGapPBgWQNvDHeRswyuRSc4PtlPlcu/pPT1RcNSxQ3hrsFCxixwfLKPmey9BZOLuU4FyyRjFu7JhFASRA6VNfDKwEWypkFPYpoPxm9S7w6uqWF0N7hlN5u9n46HHUCFo5yr8WsYlsFkboo6Vw3j2UnCapiCVSCkhgiqAepctciCjGEbvDH+FlfjXXT4O4DiQ7DJ3ciB0D4s2+Lvh17mYuwSO4OdNLkbCSoBuhM97PBvY1dgJ7BcWflusEyLC0evEZtJUt9e9akFPPcTiqhRprcS1upp8z3K9fgR+pJnmM0P3XPgkzFj9CZPMpK5SoN7D9v8T1Pu2LQu5d2BxJtMZD6myfdlTDuPgECl6+C6P7tgZbmR+IhTMy8zmxvEYn06WhuFiDxvW1H807QNctb6FzRBn4uAt0iBKBgmU9EUggAPbm/AoW48wy0JKnWunVyKvkHSWNltwLBz3Eh8RKNn34ZUkIdSF0isckwoWnXUuXeh3SeiebyQ5Nj0xzxZdpC9wW3IgkzOyvPmxId8MHWaTn8bmnT/stKCIOCLePFFPnl1Y8Oz6JXYTYYzkxQsgy2+Jj6cPkeD+3brXkQrY2dg36r7Vziqi5LvYgDTyuNQd6HNl5pUuRG341lMawawkcQgHucLSOLS9JsoaHicX0WcJzbr6k5sTBSpCknwIAg6LseTyPlLmNYUoui7qyOtZdtcivby2uiJZe89XraTncGWBT7LSrBtm6vxAV4Z/mjZe4dLdrAntGlJ27Uoiux4cBM77pAHatxaTePW6mXH+PrvPrHi50ZzacYyCSqdPnRJQbmL7LlhmfQmZvnujdMLGZ5qV4DtwYpl+8miyO5IDR3hKk5O9lOwTL574xRVLh97I3WrflZR5M8iaxpkzQLhe+g0+iSI6O5FJpsGN+PTZIzCMjuNW+f54Xgvrw5euec1pi4rBDUns7k0ecukKzpB0sjj3qBbvSgI7AhVsq+kjiNjPRiWxfd6zlLtCnC4vAllFT7PYlHFdCFPxPHZjne5XoZpGwymh0gU4rR72xnNjjGTn0GTihndnJXjavwaY5lx0maaocwwDtGBNd+t5ZSdtLqbF4jPAcXPaLZosSEJEpIoIyAgUWyH3SjG+ic58oOTfPTqWQDG+yYRJZGv/4tnKK0Jk0lkee8HJ6jbXMlQ9xi9l4coqQ7x7K8dRndqTI/OcfL1c4z2TmKaFi2d9Rx8YReaQ8W2baaGZznyjyeZGpmluqWcbPp29tSyLEZ6Jjj26llmxqOEKwI89OJeSmrW5x9W7HrTKNWbCGt1tPkeYyh1kRvJj5jM3CBvZTYcONjYZM04V2PvMJbpYpv/adp9j+O4S1dX2pyk1LmTW0rJhVU4Kcs+z7Yx7DwX5n7K6dkfrNqxtDKEheBFFlSckh+3EsIp+XFIXlTRiSo6kEUNWdCQRXVJsCMhM5S+xOnZl9cdJIpFUzKyuQJvn+mmd3QG24aW6giHdzZvOMsjCAIhrZZq51auxd9npSyPjc1YpovpbD8ljsZ1tajnrQz96Y/X/B6CajWVjvb7lnUxbRNVVGh21+FRinONjkabt4ne5PDnxrtaDzY8c6TNLGV6iLHMNHlr+c2z3b9zTTE4URAQBAmHtnPZe4Kg4tCWdqXo6tKuIEkK4pQOrXp8Tb2t+ePQdq+63XLYJIwMPckR8pZBziwQLSQxbYtN3mo6A81rCnXaQMrI0pMcJW8Vluxf7ypjV+jepbzXwlAqyh+eeZ2I7mJvSS1t/jJCuguPoqGJRU8cy7aL55PPcmlulB/0XuDy3BgWNi5Z5bmadmpcK9fiy51evt28h8HkHKPpGL3xGf7NuTd5qWEHeyO1hHQX2vwDKG+ZpIwcc7kM3bFJjk8OUOb08D/sWDlY+7QQ1F20+ksYSkWxsHl/rIe9JbU8WNqAW9EQBIGCZTKZSfDhRB9/fv0EM7k0qiitW7l5MRySwrZgOT3x4irrzeHr7AhV8lBZE1612G5tWiY50yRrFnApKh5l5YxjWHfx7eY99Cdm6U/OMpSK8kcX3qYnPsXB0oYlwVzBMkkZeaL5DD2xaY5P9uFSNP7drmfvffDuAV7Fi1NycSV+FV3SqXPV0p24wXh2Ap/ixbItfjL6GgkjQYd/x0KX1vQik05JkNAWdXkVPe3u38Tp9Dho2lHHtVM3cfuc7H16B5IiLQiV5XMFPn73Cufeu0JLRz3NHXXkswWU+dV8dCrO3FScmk0VZJJZfv7dIzjcOge+1EkmmePlP3md2Ykoux7dylj/FFeOd1O3qagaPTE4zd/+0SuEygM0bK3h6okb/M0fvcJv/i+/iMu7fvIrFPV/wlotAbWSFu9BJrM99CROMJq5SrQwtiaPY2XYzOWHOTb9N8zlR9gf/iZuObxq0OOUS4nle8mZMWzboty5d12fYtoFLkff4NTMy6TNuXXtIwsaXiWCX62kTG8mojcQUCrRJBeSoCAK0rzekDSvYi3eNrG44/zTZgxhFRfvtTATTzM0GeXrj+zAtm1eOXqZzmQGPbhxYUpNdNHg3ktf8jTZVbJNCWOK/tRZwnrdOrI8NjO5QSYzPasGGSIyFY42/Oq9uYvfgmEZC+KxkiBRoocZSI8QUL0ookzWzHEzOUSDu3rDmdfPEhsOeOpdFbw7cZqueC8JI8WOwNIHuYi4rPUM7q6I+3lDQKAj0MS/bv9l0maW2XyCP73xYyay6/txCsAWXz3/45ZfIm3kmM3H+bOe1xjJrJxqnJhLUOJ3Y1gWsVSW8AqaD+uBYVtMZBJcjY5zZPwmuiRT6vBSortwKxqqKGPaFvFCltF0bKEbC4r+W1+qbufFum2r+pNIgsjD5U0Mp+b4k8tHSRo5ehMz/K8X36XC6aPG5celaNjYpI0CM9kUY+miY7uAwLM1n14pZTXokswLNVs5MTFA0sgxko7x7869xf7SOmpcAURBYC6fpis6yfmZEQq2yYGSOhyywvtjPRvu1nIpKo9WtPLuaA/RfIbZfJp/f/5t3gh3UerwIosCOdMkVciRKOT4Z40dPFW1ecVjiYLIgdJ6vtO6j//t0vvM5dMMpaL8yeUjfL/3HDXuAB5FxwYyRp7ZXJqxdJxYPoMNHC5v+uQDuEEICJToEboT3bR4WijRItjY9Kb62ORpIWfluRa/zteqX6TDv4O8leN8dLnfz1rrWVkoZrfydn7JXLLeDJov5KF9XzMnf3Yef8TLzke3LOvqSMXSNHfU8fxvPobuXFo2btpeS9P2WqBYGhu8PkrvpUH2P9vBYNcIPef7+fV//w3a9jYxPTLL9TO3yaln376MWTD5xh88h8vnpH1/M3/yO3/BjXN97Hjo3n4fkiDjkgPUu3dT6+okmh9jKH2R/tQZBlMXNlS+AShYGa7E3qRg5Xio9NdwSSt7uFW5HsK2LXJmlJDeRlBf+T5eDNu2Gc1c5eTM99cV7IhIlDs20+I9SJVzK2G1dsOdS/cLll0UN/S59GJXkm1vSGl5MQShKPznVysYz3avuI1pF+hLnqbN98iagWdxW5OxTNeaHmyq6KDJsw/xEwYhp2YvcW7udofwRG6Gi9Eujs+cxynpxApJBlIjPFKy71Oy2b0/2HDAU+ko4anyB9gVbMMlOwhrSzMDk7lxbNuiRC9fkkIz7AJD6X6CWmSZWNcXAUUdDJ16d5GkliikcW5QR8Mpa9TJxf2TRgaXvHwVb9k2iXSO9y7e5NCWelLZAteHJ/nS3nub+DRRJqg5FywjsqbBQHKWgTX0ZFRRosrl5yt12/h6/Q6C2trt+pIg8FJDB0HNxV/eOEV3bJKsaTCcijKcWtkJWEDAr+qUfMblLCh2Zj1Y1sBvbNrPX/ecYSqbZCKb4JWBS0jzPj23DFGdssojZc38d1se4mZ8mlNTgwt2GuuFJIgcLG3g2817+NubZ5nKJokXsrw31rNsW2G+a2zN8xcEXqjdil9z8l+vn+BabIK0UWA0HV/VxV0AvIq2okXIZ4FSvYQ3J97mUORBXLKLsBbiUuwKD4YP4pZd1LvrOD59guncNLFCjMncFPoGRNZcsosyvZRj0yeYzc/hlt3s8G+7r11akixS11aF5ljKP7Asi9Gbk3z06lkmB6fJZfJcP9PLgeeKDRvR6QSWZVNSXbQGcHodC38HGOoe5cb5Af74N/8LAmAaFkbBJJO8Pwa1oiAR1KrwqxW0eA8ylxuhJ3mMvuSZDWV9TNugO3EUp+zjQPiX0FbQGXLIYZp9XwUs8laCnBnFKa9Nss1ZKc7M/uOq3JVbEBDwKWV0BF+g2XMAtxz+xA/qT4qQ10lJwM3/+fJRbKC9voyAZ2NZucXQJQ/NngdWDXgAxrJdTGR7cLvX1sLKmgl6k6fWLGeWOVqIaA33fL634JA0/OptA1q/6mOxaHhQ9dPgqsKv3p8u4k8LGw54elMjaKLKVl8zQ5lxTs1c4vGy/QvvfzD9DmkjxTdqfhVxkRmabdu8NfFTWjxtHC558v6c/T9BWJbN0NQcXUOTxUhYEKgt2biP0S00eEL8q44nODk5wI34FMOpGLO5FIlCjrxlYFoWsijhlFXCuos6d5COUCUPlzfR5IusyUu6BWHepuL52i10hqt4c+Q6pyYHuJmYZjKTJGMUEAUBh6wQ1FxUOn20+CLsDFezt6R2xWMqoshTVZto9BZ/1FsD5XdVY4aiq/ovN+8hbeTRJZkm3/LJVhAE3IrGb2w6QIM3xGuDV7g6N8FkNkneNFAkkVLNQ7MvwuHyJp6tbsen6gQ1B99p3U/ayLM7spxHtRZcispvbNpPsy/Mz4aucTU6wXgmQc4sIAvF8Q/pTqpcfho8d/fMccgKT1VtYkewgrdHuzk+2U9PbIqJTIK0WUBAwCEVuUMVTi9NvgidoSoOlNateLx8tkDvlWE27VwqvR6bTpCMpSmri3wiEm+Tu5HHSh6l3lWPKIh0BjoIqkFqnFV4FA8vVn6ZC9ELxI0k9a469oX2MpGdRBVVwlqY/aF9S0QDW9zNlGq3W04lQeLZ8me4EL3IXH4OATZE7FwPRFFElpfzpFKxNH/7Rz9Gcyg8+2uPECr3891/848LRYRb43Yr82RbNqZ5+yEkKzINW6v51r/8CrcOLUoiobL7u/ATBRGH5MXh9FLh3ExH4HluJk/SHf9gTQPLxTDtAldib1Hu2ESr91BRNde2yVvxBb7VLUxnLwI2TvfhVY9n2zY3kycZSd9dPyyk1XG49Deodu64r10+82dyT3s5dZUvPdBO18AEkijSUhNBU+79vrulh3Nu7tVVA0DTLtAd/4AG9541uadz+WHGM11rflaTe/99ISt3BNroCHz22fr7jQ1/c05J58zsFSazs1xP9LMzsDSlGStEKdMrkO9IQaqShk8JMJtfO8qHW2JUBVJGlrxlYNnWvHqshC6pOCQNSVhOmC0S40zSRo6slV8kXy+hSxouWV/wT/q8IEsim2tK+fqDAtURPwXDxOO8t66rKxcGic6m2HOwmT2RWuL5DNFCloyRJ2caJFJZLpztp2NXPR6XA5esEtCcBDTHkkBncjzG8MA02zrrltlZ3IJlFUUSy3Uvv9K8m+dr2pnJpUkVchQsC4Fiicwpq3hVnaDmXOCamKaFYZio6iLSsAFlQzpPdD6A07X+6y9zevmdtvV1hciiyBOVm9gTqWU4EeWd6z28faWHXzzQwY7KcsK6i5Du4qPuAdorSwi5XfzW5gcwTAvzDl+tdC7Pqb5h9tRX4dRW7kBQJZnHKzexN1LHZLZovGpYxXtXnR8bn6rjV9cvgFnm9PLNxk6eqW5jOpsiWchRsMyiZ50o4ZQVvIpOQHPikBVs2yabypFOZpEVCZfXQTKWJhlNc/7INaqbStFdGvlsAUEUyGXyMO8nlk3nyCSzyIqMw62TTmQwCiZuvxMjb1DIGQiigMvrQJJv3ydFx+8IL1a9sPBak7uRJnfjwr/DWohHSx9Zcm01zmJQWSqVUHqHonGbb3mpJKD6ebhkdf7e3SDOn3t0Kk5iLoXm1NBd2l0DvXzWYGZsjse++QCVTaXEZpKM9EwsdI2UVIfQnRpXjnWz6/GtjPVNMdg1Sm1rkcOzaXcjfZeHyGfyVLWUY1s2hXwBh+f+do7mTZNUIY9XK86PHiXCNv/TNLj3MJA6x6Xoz5nM9mDcJfDJmkkuR9+k0tGORwljY3Bx5s+WcWDS5iTVrtWDneKx4vQmTpKz1u6AdEkBDoS/RbVz+6cQ7LDwLNgokukcPzp6ifHZog/flb5xnjvYjku/ty4kQShmserdu7gUfYPVArHRzDVm80OEtboV37dti97kSfLW6mrcAbWScsdmxLs07HyRYNsmRQ7Wp9NBue6AJ2VkSBsZVFGhVA/z9sQJ9oe3U+ZYmnazbbtoHrpCJU8UxLveeAXL4Fp8kBMz17ga62c8O0fGzKOKMkHVQ62rlEORbewJbUJdtMIrWAY3EiNcivZyOdbPYHqSeCENAvgVNw3uch4It7M3tHnFUtNnCUkUyeYNEpkc53pGqAh56WyquvuOdyAezTA9Gce2bBRFJKi7COq3uUB2yGZ/WT2KurZabyjiwR90LYgdroR0Ksf5031s2VGDP+girLvX3X01OjTLxFiUnftuPwAVVaJzTwPKBoz47gWiIBDUnARUB617S7DiAps9pbQFbutr7G2sXpJd6puaZTqZYn/T7eyUrirsb6xBldc+X1EQ8GsO/Nq9p72XH1MkqDnvWnq8hfHBaa6dukkuW2DL/mbOvX8N3aUyOxHjw1c/ZtvBVnouDhIq8zNycwLLsiipDHDmnSuM909R11ZJeV2EM+8UJeXL6yPMTcTIZvJEqoJs2deM2/dFUy2/OxRNYcuBFr7/H37KX/3bH+LyOfnybz9B5C4ePE6PzvaHNvPhK6cZuDpCJpnF5bv9/VY2lbH36R28/pfvc+HoNURJRFFlbqVzOh5uo+/yEH//x68RLPOBDaqu8Mv/6kWcn6A8cicG4lFe77/Ot9s68WnFOU4UJDxyhHbfY9S6dnBu9lUuRX+2Kmm2iCLnZjzbjVsOAgJ+rZk6z9LM/FTmIhbGmseJG1OMrZGFgCJnZ5PvYercnfdELF4PDDt7T91Dc4k08XSWX39uHzY2f/vmWeKp7D0HPACq6KTBtYeexPFVva+Sxgx9ydME1ZoVA8CUMcdQ6vKq4y8gUuHYTFCr+kJrpi2GbdvEs8dwKI2ocsWn8hnrDni6EwNciBbrjjY2LtlBd7yfvFngyfIDC9sF1BBDmQFihShe2QsI2NjECnNM5sZp9azsZG7bNlmrwOujJ/jR8EeMZWZQRQVVkpEEiYJlMJyeoi85ToUeYndwKVk6ZWT53sA7nJq5jixKOCQVn+LCxmY2n2BwcpKzs928VDPHS9UP3Vdn7ntB9/AUE9EEsiTSOza7YsCTzxmcOd5DT9cYTrfGwcOb8QddHD96nbHhOZLJLIGgm5Mf3mB8NIquK2QyeTa1V1LbWMKx97tIxNI88+IunE6VY0e6SMSzTE3EKKvwc+jxLURnkhx9+wq+oIvDT25FVWX6eiY4cbSbQsFgy44a2rZV887rF/novWtcvTTEts5aOvc0cv5MH7PTCaYn4rRuqaR9Rw2nP+qh/+YkHq+Dg49splAw+eH3TjA3m6TrygiPPLkVr9/JiaPXmZyI8aWv7sLjdTA3m+L4+13MziRpai1j++56Tn7QTTZTYHI8RlVtiEOPtRPP5Xj36k3GonEq/F5e2NlG9/g0H3b3I4kiDzTX0lwa4lTvMB/3j6ApMo+0NdJYEkKTZeRFq/lsweDYjQEuDY/ztd1bKPd76Z+a5bsffkwim+PC4BgvdLbhVBXevnKTaDrD1/dsxaNrTCVSvH2lh7lUhq3VZeyur+LNyzcwTJORuQTNpSGe3NqCuAGV3bthMDnLn13/kPQdjvVuReP32g4T1t1Ylk06kUWSJeIzs9w4P0CkMsCW/c2k4ydQdYX+ayPEphNsP9iKqikM3RjDBiKVAWbHo0iyFzc0mQAAIABJREFUxMjNCUZ7J6hqKmN6dI5cOk/7/mYat1Z/ISfQrtg4L/efw6c4+GbDrhWDcVES2fbgZjxBN9Mjc8iqtBBwOL0OXvr9ZymtWc6b0F0az/36o7TtaSKdzBKpDOLyOchnil2qsiLx9K8+REtHHbGZJKU1ISRZQlakYlbJ5+Rrv/cMfZeHiE7GkBSJsprIMmI0QLpQQJVE8qaJIAgL+k4CkDaKpUynoiALYrHrb76c7FTUoku1YWLZNulCAUkQUKXiYkdAwquUsj/8TZyyn1Mz/7Cm0WTeSjOSvkytqwNF0KlxP4Yi3qHCq2/GslcPeGzbJpYfI2FMrboNgEsO0up5CPVTtP5JG1FsVjaiXQuaKuPUFGbjaQzLQlNkMtkCs/E0Xpe+ZD5ZLwRBoNq1jbBWy1D64orbGHaOgdQ5NnkP41GWJxWKXXmjq36GLrmpd+9GEb9Y+nNrwbCmmUj8DWWeb3/+Ac8mbz11ropinVpgIYOj3FFH3+rr4OXhv+bHI99nq78Tp+QkaST5eO4kGTPNZs+WlQ6PaVt8MHmRvxt4j1ghRZuvlsfLdtLmrcUtO8hYeQZSE9xMjLIvvBn1Di0Oh6SxK9iKW3awM9hCi6cK53wmZzg9xT8Mvs/p2eu8PX6WPcFWmjyVK53GZ4aAx0m2UGB3SzU9I6uU+QRwuTVqGiLcvD7O2ZO9tLZVcPXiMM++uJPjR6+TTuUYGpimrCLAxyd72bWvke5ro7S2V9K+vZqfvHyafN7A4VDpujxCIOTmsWe386O/O0lrexUVVQHqm0u5fH4Q07BAhe6rowgi7D7QTLjEg6rJtG+vZqBvkoef2EJFVQDTtOi6NIzH5+DRZ7fjcKpIoojHq1NbH6HryjBXLwxx4OFNtLZXEJtL8+gz2/D6nUiSyJaOWl7+64/I5QycpsXRt6/gdGo88tRW3nrtAh6fk6sXh6ipj/DEl7bzg789Tvu2at4bHEQUBb62eys2kCsYvHaui2e2t2JYFm9c6ibi6cCpKTSWhBicifL25R4aDi/vOlFliV31lZzoGSSZzSMAFQEf7ZUl5AyTZ7a34nc6EEWBjtoKvnf8PHnDxDAtXjvXRZnfwwPNtfzwzBWCLgcf94+wvaacL+9s478ePcPuhirCnnvrvlsJWcvgRnyS6WyKnGWQLOTIWQYB1ck/by2W+fKZPL2XhtBdKrIq4/I6mJuMMXRjDNM0adpey5EfnqKkOoTmVJkcnmF6dI65iRi+kIdIVZCBrhGqW8oJVwSoaiqlpDrE2feuoOrKFzLYAXhrpIuX+87hklW2BSp5uHxlYriqK7TubKD1DlUMVVPY+sDK0hGCIOANuuk4vPJiDcDh0tmyyv4ATrdO+767e0690nOVtlCEU+MjuFWVUqcb07LIWybdc9OYts3u0ko6Sip4a6CHgUQUy7Z5uKoet6IiCDCeSnBsbIiOknK2R8qWKD0rkoMdgS+RLExzbu7VNTM0E9keDCuHKjvQpOVkVNMuYK2ha2NhMpcfvWug4VNKKdEb19zmk6C44J7Atjce8AiCwMh0nL/82SkACqbF6BtnEAT49ef3Ux66N5Ju0V9rHyPpK6uSjscz3czkBnHLS/WaDDvHcPoSGXPlBgYoqnRXOTdu9HwLBXOanDGKJleTN0cwzDkk0YdDaUQSbzka2Fh2ipwxRMGcBSwk0Yeu1CGL3oVtCtY0eWMUh9JE3hwjb0wgCBK6XIsilWLZWbJGH4nsGbKFXpL581gUCf263LBwDjljFLe6DXE+iLOxMa0kqdx5nOpmZPHuulYbUlp2SBpXYzdxSDp1ruVCdQD1riaeLH2O96fe4K/6/3MxMBKg2lHHU6XPU+FYuXQzk4/zo+GPmM0n2Oqv5/dbv0aNc6l7d72rjIdLtq+4vyYpPFuxl2cr9hbdWhchrHoRgL7UOGPZWQbSkzS6Vz7/zwpb6sq4MjCOKAjUla6cUo/Opjh9rIe6phJM0yKdzBKdSxWDioYIQ/3TDA1Mo2kyJWU+vD6dmvowY6NziKKAx+tAXlSmsm2bzVurKK8M4PbopFM5FFXG7XEsGYttO+s4d6qXc6d6adpUTqTUh9uj43CoBIIu3B4HmUweh1OlrrGE8soi+XJ0aJYzx2/S2FKGUbBIp3MoqoTLo2MYJsGwZyHj4fHqyPPloULeZHY6SeuhSiqqg4RKPEyNx8CGtq3VlFcFcbo00ukcw3Mxnt7WQrm/2CIwGo1jWBat5RFSuTxHBYGh2RhHu/qoi/ixsUlkVu6GEQUBr0NfICEKgoCuyLh1DdU0KfHezhL4nLdXc1nDYDqZ4oGWWmpCfkJuJ2OxBJIosqO2gpqQH6eqksrl72vAU+0M8D93fIl4IUvKyPOToYu8NbK0XKA5VNr2NDIzEaWkOkRlYymjNycxTZMdhzZR2VBC+94mqprLsEwbh0ujor6EXKaAZVqIosjm3Y3UtFbgcOmkYkVBsy37mgncB6XTOxHLZ/hw4ibVrgBbA/f+m6xxB/GrDkocHsocX+xOkbUQcji5MjOFYVkMxKPzXC2RV3uv0x4qIZ7P8dbgTRRJ4gc3rrCztILxVIIjw308UtNILJfl5RuXeaymiW3hsmVNCQICiqiz1f8UN5MniBbGVj2XWGEMY14GIGtOr0BavoQgSLiVlVfjtm2RMmZWfG/xGQW1amTx0/OLy5tpousIvFZCyOfiD76xMk9JuUt5ey3c8tc6N/eTVdvKs1aCwfR5qpztyIusldJGlMH0edYiYte79qBL996xmcydZyT2n3Cr28gUbmDYSSwrS9j9AqWeX0YSPNgUmE79hMnk97DtIq/QsgsEnU9R7v0OsuQHbBLZM0wk/oKg8xmimfcxrQSGFaPc+x0i7q9TMCeZTv6IRO4sOXOM2fTPiGePARBx/wKaXE0qd4nh2P9BXfB/wqPvLcYVNsSzx+mf/dc0h/8v3Nrdm0E2TFoez87gVz3UsfJNrogKHYHdNLpbSRRiZK0suuTAp/hwy95V2wxvJIbpS43hkjWer9y/LNhZD+4MdG5BEATK9CBB1ctEdo6UsVFxrvuPE9cGEAQYmooyFUtRW7q8YyOVypFK5qisDtHfU1SGDUU8xGMZLp8fZODmZPGW14R5uoCwwBtIp3OMDs8Sj2YYHZxBaSyOuyQtJnvbRGdTTIxFic2lGB+Zo6o2RCadp66xhCFpmmuXhtnzQDOKKmPb0H9zstjC79ERRGFJySaZyJLN5CmvCtB1eRhxnhfj8Tro7Z6gv2eC8qpicDcyNEsilmZkcIaG5jIqq4L0dI0WVWvHY7QcruDqpaEFXpFQPF0aS4Kc6RtBFAQkUaQq4MOpKpy8ObRAbvfoKjOpNI+0NTIZTyGJIoZlMRZNMJfKMDIXozrow6NrC68NzcYo8brxOXV8Tp3Lw+N0j09RHfRjWhaDM1Gi6SwD01GaSkPUhPxcGhonUygwnUixt7Ga4wwu8SO738pTDllhs/829+hadJx3hOtLthElkYat1TQsUusOlS3tAux4uG3FvwPUtd3OfLbt+fRW3VAMwPuSM/zRpTf5RsMu2gPlG/aduoUnKjaxLVCJKkmU6v90A56WQJiT4+eo8waI57NEc1laAmF8ms7T9S04JBlNkplIJylzuXmmvgVFlHArKtFcllguS0B3MJVOYdoW8iqcGLcSpsLZTjS2esBTsHIUrAwWBhdm/gxZXMo3ShuTVLseXnV/G5v8OlriXfLaHKpPiqlc713LaqtBFAS0e/DOWg+8SoQG917Ozf2E1WaL/tRZOgLP41kk4TCV62M2N7zqcZ1SgDpX5ycmK+eMQRxKAzXBP0QW/UQzRxiJ/kecyib8jkcQkHCrO9D9tWhyFYIgMpP6KROJv8LnOIhXuu24kC50o+YrqfL/PooUxrRS8wGRhCpXUOH7LWKZDxmN/ykV3t/CrRcFiCXBhSCAR9+Hmvw75jJv49Y6EQQVG4No+l082k50pW5d8cKGv8mIFuDj6DXSZhZVVPDKLjZ5l7a6SoJMQA0SUNd/I3cnhilYJhHNx1Zfwz2v9CzbYiIbZSQzxVw+SdrIkbcKxAopZvPFFKBhbTzSv9+wbJt4KksykyfkXbl2XVEZoHNvA9evjrBpSxUlZV6qakIceGgTvd3jVNeHiZT6sG2bSImXjj31+IMu2rdXk4xnGeidoro+zEDfFMGIhx27Gxacb7d11hIu8S4EO6UVfvpuThIp85GIZ+i+OoqqyRx+sliC9AWc7DvUQs+1MRRFpn1HDZu2VC1x0q2uC7O1s5aerjG27aqjqqYYcW9qr2RmMsH5M324vQ4EgfnzjzDYN0WkxMuhx9s5fbyHa5eG2f1AM/XNpezc14QvUByb7buK1/ZkbZCPuvs5cXOIcr+HxpIgX9+zlQ+u9yGKAl/e2U65z8Nj7U2c7R+hPhLE59ApGCaXhyeoDHiZnQ9wasN+LgyNURv2Mx5NMBaN43VodNZWMJtMc6JniMA2J1nDoGdihoZIkJ7JGUp9bp7r2MyRrl4uDIzxaHsT9ZEgD7bU4XUUJ6Z9TTX4HP906uefByzb5mp0fF4u4JN5Kjlklfp1tPt/0VHt8RHP5wg5nIiCQE90hq+1bOFGdIZ3B3txKyrt4RKa/SGqPT7eG+pDl2T2lFWhShLVHj9fa2nnRz1X+WhE5VBV/TJTYABJUPDKd3eatmwTAYEy527qPE8teW8yc4HCXQQO78wK3QkBEO+zvMBimHaBodRFkoWNWFkshW3bnOsdoXdijrbqEloqwsjS+oKJTL7A0HSM+pLAsoyQIjpocO+hO/HBqlYb8fwEY5kuPMrtztT+5Jk1tXeqnVsJqJ+crCwIGgHnUziVdgRBIOB4lJnUT4hlj+FzHEQUdFza0gVTwPkEY/H/B8OKLSGJm1aSkPN5XOq2ZecloCJKIWTJi4CMLPpRpaVyI4oUwOd4iNnUT8kVBnCozeTNMVKFK5S6v4Usrk/iYcN3mldx4ZaczOaixa4rdenA27ZFzIhxOXaOG8nrpI0kHtlHq7edNs8W3PLKXi0zuTg2NiHNiyZtXFXTsExuJEd4ffQk1+KDJAppLGwEirGzaVskCuvzffkssLulmu6RKVRZorV65YlH0xUefHS59kHn3gY69y4XkyopL67kg6FiKaayZukDoKLqdgDasae4f6TUR2v7Uj7T9p11bN9Zt+Q1WZbY1lnHts7br2/ZsdSB3uFUOfzk8rqx7lB59JltS1576oXOZdsduuNa9z3YsvD3xR1eT2xtWbJdVdDHN/bvWHqs1noOtS4NxJ/Zvpxj8ULn8vF16xpf3rmUr1G9Z/l1PbN905J/H267fY4PttYt2/7/x1IUbJOzM4Of92l8oSAJAr+9fS8h3Ynx/7L33lFyZPd97+dW6hwn5wAMBoNBTpszuVxyuSTF5VIiZQbJkixZsmVRtizp2cc+lmyF92RZtvxEPiqSShRJ7S7TkpsDNgILYJGBmQEmYXLo3F3xvj96MAETgcWulrK+5+DgTHdX1a3q6lvf+wvfr+eRtUwq/EF+rHMnw9k0rvSoC0VI+oN8btteRvMZPAmNkSh+VedTW3dSGwrz2a49OHMRz9WwXopHINAUHwKVhtByOYC40Y5c08NLrJuqkoC1Tsv69aJcND1OT/bldbrJ1kfI72NwcpabO5txXI9UvlSOdPsNTMumZLuE/Dq6qpIplFAUgU/TsF2XK8H3qyEQ1AU6qfFv5mLuMCtFeSyvwEDhGJsjt6AIlaKTYaR4dtVxGkqQlvBe/DdAe0dTwmjKwvNaEQEMtRbbLddDSVxKTj+p4ouY9iVcWcDxUriyAFfdW5oSw9Bq3xYJi/vvZDL3dbLmUXx6K+niSyjCT8x/64b3e82EpylYS1QP40qXqL78os7aszx++WuMlIaoNKoJqiHybpbvjz7KpVwPD9V/gpC2fDt7zsNIV1ZuaV8Pb6X6+N8932KoMEFdoIKDFVtpDdWQNKIEVR8Ft8RX+p+mP7+6DPe7iYlUjnt3baZo2VwYnqQ++cMbhv8nbBxSSi4X0lzMTpGyCrhSEtF9NIUStIYr5rWL3ukxFByLvuwUI4U0BdfCUFQqfWE6olUkfaENTSCelIwVMwzkZpgx85RcB3VO9LHaH6EplCBuLNSHSSnJOSajhQwTpSzD+VnenCoTnrPpMb7Rfwzlqt9+d6KOrtjyiXLWLPDq5CXyV6liG6rGXbWbN6x15EnJjJmnNzvFVCmH7TkENIP6QIyOaBUBbeUHdsoq8PxoDz5V4566LRiKxngxQ09mklmrgCclMSNAe7iCxlBixSjLShBC0B5bWJhUBMrnEff5ifuWRgwrA0EqA0vPM6iX1XCrgmvXjrnSImOPr/kZQwmhCd+ceeny62l5GVzPxKeuLJwqEBuoI5Fk7fXqfK4PEsm5zPNMmBfX//AaEEJQFQ1REQlSEQ4yMJniyeMX2NpYRXdTLUNTKXpHp4mF/NTGw5zoH0NTFSqjISojQY73j/Lp5B70FaJCV4qXhwonV1TE9nCZLF0ka08SM2oZK10gt0ZdVFSvpjW474bo2EjpXVXoLedIcnnfpjNE/8x/RqCQCL4PQ63H8VJkzcPL9iWEvq6B93owtHpi/ltJFZ8h6r+JTOl1QsY2DG3jDUjXVcPz1NirhLQA91Yf5FSmlzurFloejs6+TtpO8UjjZ2gINKMrBqZbYqBwke+PPc6ZzAkOJG9dtt+g5kMAOaeEd43V9EXX5LHLL9OfH6Mj0sDPbf4I22ItSzq5RoszBG6gZf31wnFdzg5N8OTRC0ykc5QsBwHs33Jtyr4bQVn51UXKElLaSBwWVhEKQmgIDITwId5hCffyWGw8aYK051aG5bEIVBBaeRwY75jo1D8kpJTMmAW+O3yK718+Q39uhoxdwpOSoKZTF4hxU1ULn24/SFt4ZR+jGwHHczk2M8zXLr7JidQIk6UcpuugCYW4EWBLrJpPtOzhrtqOZe7yV1AmOmm+PXiKF8d7GcrPkraLmK6LOqfKnTCC7Ew28Atdd9IaLkcaLc/hW4Mn+cbAMWbMAimrQMktr7xfHOvl0HjfsmP9QtddbI3VLFsEjZeyfPHcIQbzM7jSm/snSRhBtkSr1yU85UJch+9fPsPjgye4lJtm1izgSBe/qlPlD7O/oplPtx+gM1aDqiylYmOFDL954vtEND8t4SR92Sm+fukovdmpue/VI6L7aQzGeahpBx9v3U10BcPY8gPl3RdDzdnT6+rjxI1aNKEjpUfBmSSk15Aye3FkWexuxjyHT0kQW8W6QBEKEX39tNmMOUTRyRDQbtyiz5Mu/bk3OZV+khtdTee4LjWxMPft2IztepwbnkBTFYYmU1i2w+72eqQnuTyTpr22govjM7CK/1bZX2svcb2OyVWIWcoaYcYaIqJXMVo8S8nNrjq2xuBOIvraVh8bPk8vg+WOlAuShYrjpTGdAWL+OxBCJW+dxHbHaIr/e+KB+wDImm8g15AqWAsCDRDzHVpXQxFBYoG7GJr9XVLF5yjaF6gO/4drel5cM+HpyQ5Q4YszbaYwFJ2LueElhGeo0M/m8FY2h7fOCyYZisG26E5Opo8xWOhfkfDUB8otZVNmmhkrQ9zYeEhurDjDUH4SieSuqp3LyA5AwSlRdNeXVn+noSoKLVUJultq2FRbga6pVMc33skjpYvlXMB2hhbtM4nf2IUQC6lAT5aw7YuU7JOY1jEspw/XncCTRUBBUcJoag2GthmfsRuf3o2htSFE+aa7UZDSw/NmMe3zmPYJTPs0tjOI680gpYlAQ1Fi6Fojht6F39iFoXWhqTUbImFSupSsw7jeQoumIkL4jb0oytqiblJKbOcSlrPU80ogMPSt6Nr6JNT1spjWCTy5EJbX1QYMvXPuWpYxYxX44vmX+ObAcRQhaA9XEjcCKEIhZRW4lJvmby8dpT87w/+16wFa3wHS43ger0xc5P8+9Qz9uWlqA1F2JRoIajol12GkkOa1yX7Op8eZsQo83LJ7xYjTxewU/+PMc7w03oftOVT4wmyJ1hBQdVzpkbKKjJcyzJoFYvrCdyAQVPrD7E6WOzVN1+HJy2fJOibb4rXsSDRw9Slvi9ex0v1YF4jyL7vumDeqPTo9xBtT/Ru+FnnH4q8uHuYrva+Tsoo0hRJsqmzGUDRyjkl/bprHh05yLj3Ov9vxPg5Utqxow5J3TL7a9waHpwZwPI/N0SpCmkHJsbmYm+ZUapSRQhpNUflU+75l+xgpnsVQAiSMBlTFuK7o9rXC9kqcST9Ddh1vqxp/B5pSNgZOWxcJ6TVcSH8DQ40iUMjbo9SFbl51e4FKXK9HFTruGu3rWWeCocJbdERuuyGLHU96DBdO8fLUV8jYE297f1JKRmYzjKVyjKeyeBIMXUNRFGbSeQanUlRGQ2QKpbnUV2p+u9HZDBPpHKOzWdoNfUVV75CWZFP4JibNS6xEzgpumilzgEpfGxOlvlXrd3ThZ3Pklhs4b3hM57+NpsTQ1SpSxeew3RmigdsR6GhKomxibPdiaPW4XpqJ3NfhOsUjdbUGIQxSxRfQlDggMNRaDK0GmPO7NHbg05uZzD+KrlYR0NeXeliMayY8qlBRhMCVHkPFMXzLcrQSZc6gcTEW/l6Z6XZFWwioPrJ2gZcmT9IcrFnRPgIWPGuuvFfy7Hnr+qgRWjapuNKjLz/CRGllo8t3E0IIoiE/D+zvJGBcu66JlCbp3FdI5/9i/jW/sZe6ii+jqXVI6WG7Q2Tyf0O++IO5h/kKPxAXLPsMBZ4DdHz6FsKBjxANfQp1A3oG649TImWRfOkZsoXH5kjJKhOsC6b9FhS/iyIi+I3dhAMfIRx8EEXE1hmLZDrzexTNl+dfUdVaGqu+iaG0rbEdSEzS+T8nlfvjq95RqIj+MsnoL617npZ9hvHZX8ZxF2pR4uGfoyL2K3MrFnA9j8cGTvCNgeMEVJ2f7byd99VvpdofQREwVcrz3NgFvnjuEK9OXuIrfa/zhe57iawQEbheSCkZzM/w+6ef41JumntqO/h8x810RmvKD2jXpjc7xZcvvMxTl8/xZz2v0hmrYV/FUtKXtUt8+cIrPDt6AV1R+EjzTh5q3E5bpJKw5sOWLpOlHP25aSKaj8QidWhD1fhAQxcfaCjbRsyYBY5MDZJ1TO6o2cy/2nbXhrzdAGJGgAcaFuqv/vriYY5usB7IlR6Hxvv4kwuvUnRtHmzazmc2HWBzpBqfqpG2ipyYucz/OvsCJ1Mj/O+zL/Lf9n2EptDywsiMXeLbgyfZXdHET2+5lT3JJsK6j6Jj8erkJf776Wfpy07x3eFT3Fu3hfpgbMn2R2ceY9oapDG4g9bQPhoC3RhqEIW11dGvB1JKbFnkdOppTqV/sCYJ8Skh6gNd8ymt+lDZL7E+eBv1oVtQhMZU6RSOt3pdpBCCiF5Jwmhgyuxf9XNFN8Op9JPUBbau6xC+3vl50qE/f5RXpv6S8VLPde1nJQgEu9vqcDxJbTxCeE5puTISZGdLHY7n0VqdoCYWoW9smol0DldKFEWhu7kWT3qrKj1rwqAlvI9T6adW8deSTJT6qPV3MLnGdawNdFJprOxdeD3Q1Qr8eivj2a9iuZMowqAh9q8IG7sQQiHk20lF8ENMF77DbOEpVCVC1H8Ltm8SWGw9o6DgY72FdEBvoyr8MJO5b5AtvY6ihKiL/hRJbUHhW1eTRH03c7n0B1TGHkJXr63D75oJz/bYJp4ef53BwijWpMX7qpcy/MZgK2czJ+jNnafGX4cmNGxpM1wYYLQ0zJ2V71txv83Bam6u6OK5ieM8MXqYKl+cgxVbiethVKHgISm6Jmkrj6aoVPpi8y2scT0872x+PjPE7ZXb5yNEtudwPjvE48OvUHBX9x15t7GaH9P1wHVnsJ0RVKWKknWM6czvUjKPIFcJDS6HjWmfxnIuUbKPUxH5ZQx963WvtqR0sZ2LzOa+TL74gzmis7GwsiezFMyXKFlvUTBfIBH5BXz69lXHIoSGoW2haL7KlUI5z8viOCMY2tqEx/PSmPZKYX1JyT6FlN6a10Aisd3LuN5Ch4UQgXKkjIXvtz8/w/eGT2N7Lp/ddBOfaN1DcFFtSHUgwseadzGQm+ErfW/w1Mg5PtGyh23xt1fkd/VYnxw5x7n0OJuiVfybbffQHll4uAQ0gx2Jen56y20cnx5mpJDm+8On2Z1smCchUkremBrg0HgvEslHm3fy81vvotofXjLOCl+Izmj1dUn5vxsoOBbfHDhO2i6yN9nEL227l9pAZP4cEr4gd9RuRgr4t4cf5eTsCE8Mn+GnttyyTOZfAlX+CD/XeTu3VLfNvx/SfdxZu5ne7CT/88wLXM6nGMjNLCM8Hi5T5gDT5iDnMy8S02toDu2hObiLmFFLUI1hKMG3FfkoewyapKxRTqZ+wJn0U+tYSwjqAl1U+zcjhJjzNkzjV+PUBW+ar8VIGB3rFj5HtCrqAl1MmQOsNQcM5I/xxvTXOVjxyWVCexuBJ13S9hjn0s9zIvX9625DXwlCCLqba+hurpl/rSpWjsrrmsreTUtrSCqjQfonZhmeTtPdVEN3Uw1roexF10pDsJvzmRdZ6TpNmwNMW4NkV4lYqUKnPXyAgBZb8f3rg0IieD9+rR1PFlCEH12tRJnTBFJFhLroz1AZehiJjSICaEqCitBH0JQrtVuCmP82Omv+At866slC6FSFPkE8cA+eLCFQ0dWrlc8lihLEpzUT8d20JIq+EWz40yPFScZLZfbZFm6gxl+BT9WXTWr7EjdxKd/LVwf+P+oCjQTUAHknx2hxmF3x/XTHVhYOjOpBPtl8F5eLU5zLDPGHPY+xY6Kd9nAdAdXA9GwmzTT9uTEOVGzln7XcR0ArX/hqf5zt8TYu5kd5bvw4CoKuWAuCssryS5OnEAIaApVcLq4cZcjZRSbNNEXXpORapOwceadMkC4xzW/IAAAgAElEQVTmRjk8c56g6sOvGoQ0PzX+xBLdn7xT3r7gLGyfm9P76S+Mc3j6PGHNj181CGp+aq/a/u3A9WZw3MuYlsJE6lex7NWr+NeClAXyxSeQ0qI6/lvo2rX7ewGY9kmm0v9tLupyfQ89T2bIFb+D7Q5TFf8N/PqeVSd9n9EF+UUTpHSwnT7gtjWOIPG8NJZ9fsX3bGcA15tFU9dodZYujjOEXJTOUpUEutaypFD3XGqMnswElb4wt1a3LSE78+egauxMNBDSDCZLOS7lpuiK196wBIflubww2oOHZH9FM02hxIoPlbpAlI5oNeMTffRkJslYpfkojek5HJkaZMrM0xCM87HmXVQHIiuOUawQ5X2voC87xfl0uWD3/Q1bqVlEdq5AEYKdiXr2VzTx3FgPr0/184nW3SR9y9PPu5IN7E42LiNDhqKxKVJFRPeRc0yy9uoLLolH0U1TdNOMlS7w5szfkzQaqfK3U+lrJWE0ktDrCeuV+NTQhq6t7Zlk7HEmSxe5XDzNpdxhUvYY6/0mfUqIbbH7COvle9/DoTf9GNuTn0ddFNFXlfVNf31qkE3hm+jNvrymMrArbU6kvkfOmWJ34sM0BLrRNrB/T7pMm4Ncyh+hJ3uIseKFFUlYSE0ghLqqQ/mSfXqSnuP99By9xF0PHySSuLaOJyEEbTVJ2lYRlF0JfjXCpvBN9OfexFyBjKbsUQbyx1ZNZ0X1apqCu1BvaIu/RKDj0+pWfFcIgSpC88rLV6AuLiUQoIowAWVj11BR/PiU1YuQbXeGVPFZQkY3QWMr11p+seGrcybdxwuTR0gYUap8CYJqgIDqQ7vqAif0JI80foazmRNcyvdScPNUGlXcWnEXHZEu/KvUVQgh2BSu5990Psw3h17i2GwPJ9IXOTJzAYks11UoGkHNR1jzL2m3VIXCxxtvJ23nODJzge+PHeaZiWNoczUgbaFaPtP2fl6fPsejQ4dWPP5r02f5m8FnKTglHOnheA4Zu0xYnps4zmvTZ1GFiiYUqvxxfq3rU9QGFm7oN2d6+Mv+p8k6hfnts3OE56WJkxyZuYA2t32lL8avdP0ojcEbU1zmySwl600y9t8uITtCBNCUGnS9HV1tQ1VjSGnhulOY9jlsdxDPm+XqCbBYOkQq/+dURH8ZRWzc3FBKD8s+w1T6Nyiar1+1X4GixNDUOgxtC5pagyKCeLKA445i2edw3DE8ubQgz7ROMJX6T1TFf2su0rP8Bje0ToTQ55x2QeJiOcsLYJeOlTlSs/IE6HkpbKd3TcLjyQKWc3HJeZYJT+v835bnMpCfwfQcZsw8v/nW91ckPAAZq0hurutospSbW0zcGNIwXswyaZYn0mdHz3MmNbritXQ8l6H8LMD8Q/oK4Sk4Fpey5Q6R5lCC5lDiPUpp1sbF7BQFt5zO6YqtTiojup+OaDXPjfUwXswwUcotIzy6otIarlj1O/UpGppQKEkH9xqaMVxpM2leYtK8hCI0fEoInxLGpwYJqFFCWpKAGsVQgqhCRwilHFmVJqabI+fMkHOmKblZik56LqKz/uJDoNIZvYP28MEFUiUlKauX8eKxZZ+P6k0EtOX+Y4vRHNpNY3AHPdmX1/ycK216s68yWjxPla+NhmA3lb5WIlolmmIgUPBwKbl5cvYk09Yg46VeZqxhsvYk7iou8BGtmturPsekeZEjM99c9xpIKbnw5iW+8yfPsfee7msmPNeLltAeEkYjY6XlUWfLK3Apd2TF7QQKtf4tVK3irP6PAZnSa8wWnqLkDODJAg3Rf4kirj1LsmHCc2f1PrZGWxkuTjBWnGLGyjBhzmAoSzVzhFCI6jF2xvexNbpjLi0gUFBwpUPJLRLQVu6gUIRCR7iBX+p8mIu5Uc5lBpk001iejaHoVPqitIfr2RJpXHbchkAlv7jlYY7P9tKTvUzRNQlqfpqD1exObCZpRNCFhpQe7eHljLXKF2NvogPbW7/CPKwFlmkFVfii7E5sxvJWz4tfQWgu0nPjIEnnv4qcz8kLdG0T0eAjhAMfnCu+VVh4eEo8WaBYeplU/s/myImzaG8m+cJ3CfsfwO/bt+GVuutNMpP9H3P7Wzy5qwT9dxENfpKA71ZUJcrSwjYP10uRLz5JpvC3lKzji7b3KFnHmM3+IdXx30JdIWerqdVoah22c2nuFQfL6ZvvLlgNJfsECw8BHSE0pCwBEtdLYdk9BHw3rbq99PLYztLOClWpRlMX1JAd6TJrluscTM+hLzvJeiRGFQqO9LiBfIe0VZy/tyfNHFPm2tonV9JY7qLuEttzSc8tAiK674bWGL2bSFslHM9FEwoRffUogiaU+c6qvG0tM22d/4zhXycFU1YDu94Enyed+egP89PL1RG0K4pjzB3r2o8mUGgO7eJAxSP4rlq1W16G0cIry7bRQnevS3h0xc/e5McYLZ5fN8Ii8cg5U+ScKfrzbyKEgkCgoKIIFVc6SLxyjSDeuim1kJrg9qrP0hm9EzWnoQkfjtxoqv/dRUCN0hG5dUXCA6w6bl3xsTlyK6py7fp1q8GnNVIReghDXb/L7t2AED4U4SPs20M8cA9BfXXfurWwYcKTsrIM5EcZLU1RdEsENT9RESJuLNVZGCr08+Lk06TtFN4KN+O26E7uiN1HqWghPUkg7C/niAsWqqbgCxg4eYdGt4KOmnLXRjFnIhSBP+jDLFq4WRcn5KIvkvwWQhDVg9xZvZM7q3cuOy7AjngbO+Ir13XsSmxiV+L6pfS7Y610x1qve/u3CymvhMsFAeMmKmK/it/YjViFBasiRijwQQy9g6n0b5AvPcPiFaDtDlE0X8Fn7ECI9UPLUrpkC39PvvgMi8mOECGiwU+SiPwsmrq6+qemVhMNfQq/sYepzG9RKL3AQrG1pFB6gWzxO8RCP76MxAgRwtA2LyI84LpTuN4Umrpa/tzDtBacijW1Fl1roWQeRmIiZRHL6cOT5nzOetkeZA7bGVh8Fhh6x5JuucUPpoZgnH/ReduGvJ7awhVrisZdH8r7+3jLbu6r27JugXBY91ETWFlH5b1ZnbMxqHPpNsn65+Gx0CCxYuqOMul593F9pGY1KKg0h3Zzd/XPENfrlv5OBcT0NnZX/Px17VsgqPNv5WDFJ3l16q8puhtrHikTm/Jc4mJf800X0pLcWvkZOqN3oSkGMb2OiF7JrHV5Y+MWYNsuqckMruNi+HWCkQDqnGKylBLbcijmSjhWeTGh+3RC0YXPmEWLUt4kEPFTyptYJRtVUwhGAxi+pU0rApWW0B6Oz1aTdTbeXZY0mqgLXHt6Zy0Eja1zKaP3BiK+PUR8e972fjZMeE6lezk8c4oKI0ZA889JggvMqyIah6aeZcIcY0dsD341uCw6UOOvpe/kEEefP0sw4qdxcw0IweilSTRdZdcdnfS+Ncj44DRdB9rxPEn/2cska2M0ba7lxMsXAGjeUseuO66P5a2EkYk0Q+OzVMbDtNQn540if9iga21UxH4Fv7Fv3bZuIcqRoHj4ZzDt0zjuYl8dj6L1BjHvx0Fdn/BYzkUy+a9fVSitEPLfTzL6Sxvq/BJCxdC7SEZ+CccZxnIuLIxGZsgVHiPkvxtdW6rwrIgQurYZeGrh814ax7m8KuFxvRlsp3/+b02tI+i7E9M6gZQmIMuEx0ujrLLKcdxRXG9h8hZCw6cvnSQ0oZDwldOCqhB0RmvYXXF9tVFvB3EjgK6U74e4HuCOms3zf28UuqISm4t4ZO1yust3AxRd320kfEF0RaHgeqSs1buMLM8lZZUjWiHNIKit/zv4YYRPCbEpfDM3V35qRUsCBY22q2wlrhWqorM9/gEsr8DRmccobJD0XB8EFUYTByt/lC2R2+fVnmN6DRGtasOER3qSF775Oj3H+snM5qmojfORn7mX7bd2oukqZtHihW++waFvvUlmJof0PJK1cT70+bvYe083mqFx4tA5vvdnL7Dn7m2ceuUCE8PTCCG49aF9fPBzdxKOLWQ7hBAkjAZaQnuuQT9I0B4+SEC9kcXK/3ixYcJzINlNV3S5wNTVqSWf4qcttJnbK++bq6G5qj1dCM45l6hqTHLgvu08+qVnUFWFYMRPLu0wPZZGKAJNV7l4ehgk7L+vm7q2Ko4+f5aRSxPUt9dw+dLEDSM8puXw+PMnqUlGCAd9823vP2wQIkgs9Bn8xt4NCwkKoeAzdhH03Umm8Hcs/pFZ9nk8mUdlbY8iKS1yxe8uS+9oagOJyE+jLau0X3s8fmM7keDDTGd+e8l4SvZblKzjaGrDkvMTwj/fGSUppx1cL43tDuFnDyutfCz7PK6XXjTWeoL+20jl/gRkubjStntxvRSqUrUiWTPtCyyJZmFgXBVqNRSV1nAlQVVnqpTjfGacHcn6Dbdf3yhUByLUBaIM5Wd5a/Yyeccibmy8PgsgqBm0Ryp5bqyHwdwMl7LTVGxQlXklLN7KexdjRlui1YR1H2m7xMmZEW6tbl/RtDRjF+eLm+uCMar9N57c1fk7GS2eo+Ck1vRHeiegoFHpa2FX4kG2RO8goEZY6bcihELS3/W2jlWuwSyntgJqjMMzXydtjV2Xg/laUIVBc3AXBys+SUNw+5JC8oAaJWE0MlQ4uY4lRhkTwzMMnBvhgc/eiVAVnv/Ga/zpf/4m//6Pf4aGTTXltJonOfD+HdS2VmGXbJ78q0N85b8+Suu2RqqbKrBKNmff6CM7m+f9n76NyvoEJw6d4+u//z1aOus48P6diEUGzMZckXdf7tU1i7yvIKxV0BTchXYd9Sz/J2LDhCeih4jo6wvk7U3czPfGHuUv+r9Iha9yWdV4S7Ad3YszO5Fm8MIoydoYmqYQjgWpakxiFiymRmYJhH04jofh0xkbnEIogmDET7ImRnNHLVWNa5uFSSmZSRcomja5gkk46KO+Kka2UGJsKoOiKDRUxVAUwem+MYbHU+ztaqS2IkqhZFEybWoqosxkCkgpiYb8jE9nyRVMbMeltjJKIhpkdDJNrmASiwSoqYjgeZLLE2kKJYvKeIiqRPi6HwjXCkNrJxz48KpprNWgiDA+Yzei+G2kXFjxel4Oxx1fFlG5Go47QaH03DzZKEMQDjyAoV2bMFQZBgHfrWhqPY67sBqTskjRfIWQ/16EWHj4lCNVTShKAtcrP6A8mcV2hpFSLrv+Ukos++yiAmkDXWtBU5vQ1Nr5fdjuZVx3HFY5h3IEauFBram1qMrSQnQhBNvitXTGajg+M8y3Bk+yO9nIlljNskdLuX3Yw3QdgppxQ1NahqJxX10nb04PciE9zneHTvHxlt34NX3FcRQcC11Vlwh4+hSN/ZUtPD54grFihkcH36IhFF/Wan1lH66UCMGq5M5Q1Hlhw9FCGtfzVhRmu9FoCiXYW9HE5UKap0fP88HG7mVCj56UHJka4tj0MEFV56bKVmLXSBA3gl2JD9MY3ElP9mWGCifI2BMU3fQNJwILKNs9JI0GNkVuoSN8GzGjBlXcuPqPtWAofrpj76PS18rx2W8zWDhOwZl92+k5XfhI+prYGr2XzugdRLTKZV2dQijU+DehKz6sNfSDrkBKyUM/dS+77twKEiLxIP/rC1/l5KHzNGyqwR/0ce+P3YKqKiiqgpSgqAq/81NfIp8pwNxC0bZs7nnkZu770VtQdZWalkqOPHWKvpND7LtvO+qiSKtA0BTaSdJo5nLx1DojFNT6t1Dp35hT+D/hOnR41sOp9DFGikM0BpopOgWulk41vRKGENiWS3o6x20P7sZ1PC6eGsYsWNS1VlHIljD8OonqKMmaGOeP9jPaP0V7dyO2aZNLFUk6a4fwpISnXzvP8ESKxuo49dUxYpEAT75yDteTFIoWVckwt+xspW9oilSmSO/gJIlokMnZHD0Dk3z+ozfxxskBHMdjc3MlL77Zi8/QOXJ6kB9/cD8Bv87JCyPomsrkbI6P3LODkYkUfUPTaKrCTKbAj35gD8nYxpWUrx8Kft9B9GvwFbkCIQSG1ooiQnPGb1fg4npr+9yU1Yr7l9TDAChKjIDvVhRlY55GV49H1xowtM1LCA9AyXqzrAnB0tW2pjaiqZXzZAVcHHcQKYsIsfT6S0xMpwcpy+kKRQQwtE0owo+hd5ZFEAGwsZzzBHy3wlU+MFK6WHYviwmPoW9BEcu/6+ZQgk+07uFidpoj04P89smneKR1D93xOmK6H0d6zFoFBnOznEqNkPSF+ETL7lV9nK4HAri/oYtnRy/wxlQ/f3T+JSbNHHfXdtAYjKMKhYJjMVrM0JOZ4FJ2mk+27WFzdCGdJ4TgYGULd9Z28PjgCb49dJKCY/Fg03a2xmqI6D5sz2WylJ/3Cru/vovqVeqANEWlPVLJhcwEb0wN8OzoBW6v2URIM7ClR8YqYigaUePGFkf7VZ1HWvdyZGqQ8+lxfvvkk3x+883sTNQT0AxmzDyvTl7ij869RMG1uKmylQcaut6BmirwqSHqg13UBbaSd2cZL/YwXuph0rzIjDlM2h67IUW2fiVCha+J2sBW6gPbaAxuJ6jG/wEelGVD0YbgNqr97QwXTnEx9zqD+ePMWpevKcolUAhpCeoCW2kJ7aEltI+4XrumZlGNvwNd+LFYn/Aka2NU1M9dIwHVTRUkq2MM9ZRT/0IIzKLFucMXGb04QT5bZKRvHNf1cJ2FeSGajNDUWYc2V3PqD/mIVIQp5UsrOk741QgdkVsZKZ5ekwgaip+W0F4C6jvjwzhWTPHU6Kn5buUKX5iHmw9ecyr8vYQbTngyTppd8X3cX/MQhuJbtnpUhcpgeJyt+9rYd8+CUmpN00LapLZlaQrklg8uaPfEqzaexhICOpqrefDObQhgcCzFs2/0sLm5EstycT0Pv0/n3oMdDI/P8uCd24mF/Uynyh0sUs79Q5LOldA1lV1b6skVTBpr4nzv0Bn6hqaorYiSzhUZmUjz0tGLZPMmyViQbL7EdLrwLhEelYCxekfRelCU+FXFtnNlkXK5od1SuJSsY8tEDnW1EUPbxPUW0qlKAk1dTt4cdwLHHUe7qq5GU+tRlWrg9PxrtjOAJ/MoLL3+rjuFbS+0rStKYK7Y2MCnb2VxY3zJOkks5HI14XHcMbyryKChbUGsILsghOCBhm1k7RJ/0fs6r0/2czo1SsIIYigqEonpOuRsk6xj8nDLrmUpnolilqdHzzFZypN3THK2yanZERzPI++Y/PaJJ6n0hwlpBiHNR2s4yf0NXfOTkxCC2kCEX9nxPn7/9HMcmR7kTy68wmMDJwjrZUsDR7oUHJu0VSRmBHiwqXvZuYR1H/9iy22Yrs3zYz08OXKW1yb752uEPCkpuTZZu0RjKMFt1as3AuiKykebd3BkapCJYpb/8tYTVPvD+FQN2yv7Y/3E5pv5WMtS7a6UVeCJ4TNMlnLkHZO8Y3EuPT5/LX7/zHPUBiKENB8hzaAuGOOjTTvnDTwVIdidbOQL3ffx/557kUPjfZxJjVHhC6IrKkXXZqKYo+ha7K1o4l9vu5u64Dtr7iuEIKwlCYUP0hreh+XmKXk5TDdPzpkmY0+Qd2bIO7OYXg7LK2B7JVzp4EkXiYeCiip0DCWAX4sSVOPE9BriRh1RvQa/GiGgxtCE8Z6ICOiKv6wuHewm78yQtsaYNPuZtYbJOdMU3QyOZwESVehoig+/EiasVxLVq6n0tRDVawiqcQJqZEPijBW+Fh5u/k3cFfyeYnoNAmWeZCjKUqV/RVEQisBzy9G3y73jfPk/fg2zaNPW3Ui8MoI/tLzOSzdUNG1xFGf9WbE5tIeAGluz1imsVdEW3rfq+28XnpRk7CKX8pOcnB0ipgf5aOO+fyI8i9ER7uJY6nWOzr5OVIvN5VAXq7BW0r69dTUvtRsKTVWJhn2ocxOdpio01sT57EMHiYb82I5LKGBQMu1l2xVNm5JlMzmbJRzwUV8V5cU3eznVN8ZNO1qojIfw6Rp37t3E+2/pxLQcVFXhyOlBbt7Zyi272iiULEL+dye3Wo5ObL7u7cudWFffyHJe22Z1eJj28tCrqlYtac++dhioSpxy+/pCeF9KC8cdAXYs+bQQfgy9jYL5Elda7C2nH8/LwVXkyPUm5/RzylBEHF1tAnQMbfOSWiDLPocnS6hXpQltpx/XW6BG5fqddgQrF7aGNIMfbz9AV6yWx4dOcnL2MmPFDAXHQkEQMfzUBWPcFa3m/voufFeJUg4XZvniuUNMlBb0VK78hCzP5enR84t+ZYJ9lU3cVduxZHJShEJ3vI7f3PthvjV0klcmLnIpO81AbgZHevgVjUp/mP2VzRyobKExuHLauCWc5D/seoADlS08P9ZDb2aSsWKmbEKqKMT0AK3hCm6raV+zTkgAt1a38+s7P8A3Bo5xLj1OT6askBvUDGoD0WXyDwBTpRxfPH+I8WJ2xWvxwljPkmuxKVLJg43daIukEAxF5cNN26kNRPn7geMcnxlmIDeD5bmENIPGUIJbqtt4pHUPLaFrk69/OxBCoKIR0GIEiCGlpIYOFtraF0+cS19ZfM5X/heL/n4vkJyrIYTAEAEMo4G4Xk9LaM+iqIa86tyWn9e1npOmGFT71+vGLR81M52jlDfn0+K5dJ5cukCypuwOf/ipE/SfHubffumn6DqwCYTgjR+8xRN//sIK53lNw8SVFt46c29raC9hbe36yreDukCcn9tyH2m7yO+c/g4Xs2/fl+wfGjec8AwX+5kojXO5OIShGChXGYntjO+nOdh2zTfAevA8SSZfpGg6BHw60ZCfoF/HbyxMmFWJMPu7m/jaD46hCMGB7mb2bWtCURSioStihoKm2jivneznK996A9N2aKiKky+W63omZ3Kks0WSsRB3H+jgmdfP8+Vvvko46OMjd2/n/lu38sKRXk5cGKEyHuKj9+xAVRWkLEeJileRK0URJCIBDP3tfRWqWr1iOmXjWO0LWZuZSuks6Xa6si+BgevNLOliulZIbK4mPODOiSVedUQh5gQIjXm3XscdxfNSS+p4yrYXg7jegvS8rrcjRFlLRb2i6eOW281dbxrbGUA1FhMsie0OLBFJLBO8+lUnYCEEhqpxU1Ur3Yk6RgsZUnYRy3UQlK0dwppOxFDxqQoZJ4WCiqEY+FQfmyJV/O7+j2F5Gwv5Rw0//hXIghCCumCMf95xCw817WCylCXvWLhSYigKEd1PpS9M0heaj4istI+kL8SPtu3jvvpOJopZcraJLV1UoRBQDZK+INX+CAFt9doQIQR+VeeDjV3sqWhkrJihOKd1Y6gaUd2/Yn1QXTDG7+z/KJa7sWsR1PRlq9IrbeYHKpvpitVwuZAiZRdxPA+/qpH0hagPxla8hgCNoQR/cNMjIOW8G/xK2J6o4/cO/AiO9OiMXbumycL99O7pVhdLFtl8uS7RZ9zwR8SqEHPz73uFlhVyJQ49foRYZVlN/I0nT5BLFei+pVzTJxSBqqm4jks+UyQ9leXlbx9928eVUtKXe31N+w9DCdIWPvCO1l5dUUtXhfKe+U7eLm743fyBmoe4r/qDq76vLzMbvTHIF03+6Jsv88LRPu7Zt5lf+ex93HNwy5IHkKGr3HtwC7fsakNKid/QEQLikQCffnD//N/VyQg/+bGbcV0PVRV4Hjz12jlu293Onq5Gnj/cw/n+cT5wWxc/9sBebMdFEQqhgE4sHKChOobjlAswr0wYtuPypUdf4ZnDF5aMOx4J8B9/8n52bF7bZ2Q9qEpiWUrq3YDnpfHk1T9MSaH0PEMTD769fcsCiwURy3v25hzfl8PQO+eiM1fy8zaW04/P2LNo+7Jv2GIS5dMWnM1VpRJNa5wnPJ6Xx7LP419EeMqkaWBJgbem1qCpK0uwL0bZUNFPJLZQlyKlJOtkeGPmdY6PHWXCnAAEYS1MY6CJ2ypvpzOylZur1/YGuxZoikp9MLYioVgPUkoyTrmDpMoXpdq/co3ORqEI5ZrGEtJ83Fx1/dfiUmaGmOEn6Q+Wvw/Dz1ZjeTTy/OwkLZE4/hVIW1j3cVv18q7Vq5H0hW7o9/Zu4OU3L/Ln33yNL/zz+9jb3bT+Bv9I0bG7hbGBKf77z/8pjuWSS+f50Ofvoq27LCux644uDj3+Jn/xm4+SrInjOi6J6ig1zRvvSl0JRTdNf+5N1lps1gW2UulruabQUcrKc3j6Evsr2jBdm77sBKZnkzTCdERrCb0N2QVPekyZOYby06TsQrnIW/fTFq6mwhdeUv92bGYAVQi2ROvoy44zXsogBNT547SFq1aM6t4o3HDCE1BDFN0Cl/K9jJSGCKgh9iVuQhc6eTeH9g49lD0J+aJFKlskX7QQQixbnZSLYVV07erVHgQXpZ4URRAKLPztuB41yQjHzg0zMDpD0bR5/y1bUYRYst0VhALLbxxFUdjdUY/reWQLJmNTGc5cHCvXTrhvvyNDiADLU1LvPFyZWaTwvACJieu9M4qmq6XZNLUBVU3iOQtRJdvpvWpbC9NamoIz9C1cuXaqmkRXmylSlsH3ZB7LOb/ESLQsODjI8g6ttU0CV4MtLZ6deIYXJp9je2wnexMHkEhmrBlGi5fJO2sZPb77sDyLl6deIqpHuaXiVtQbP428o3Cl3FBK3ZXvjP1psWRx8vwIOzsb8PtXnw9d16N3YBJdU2ltrEBR3p11tmW7ZLIlHOfdbZN/r0ARgt13ddG+o4nalkr6TgySz5aoqk+waVcLgbk6nabOOn7xf36OgbOXsU2HqsYkDZtq6Hmwn+qmchq0Y3crn/9PD1PXthDdC8VCfOIXP0gsGUZRl3eQDuaPk7JGVh2fJgxaQnsIaclriocN5Kf5tWNf4xc67+et2QH6chMUHIuQ5uO+2m4+v+kOItp6quHLUY5ITfAH537AcGGGvGPiSYlP0dgSrePnt7yPjujCguKrlw5RcEz2Jdt4fvwsk2YWV3okjBCfbDnIRxv3vWOk54bPVCl7lifGHqM3dyGMNa0AACAASURBVB5XOkT1ON3RXVjC4tHLX+NA4la6YysrIb9XoSqC/d3NdLRU4XkSXVeJh6+tRVVVBPfs7+C2Xe24nsfxC5f51T/8zg0bo0DjRiptbhRlhed3qoV21aOu+KoignOKywv1OabTw2KPBs+bWVK/oyrJRdYbIPBh6JsQ+JGUKNtUXMKTGVQRn9tHGtsdXHRkA11t25Ai9UoouSWOzr7J1kgXP9LwMHE9jkTieA6mZ+JX31sWDiWvyKn0SXbGd5WJw3sg3m26Dv2ZWXK2Rcznpy2aYKpYIO9YZMwSMV+ApnCMyWKejFmiwl/uHnSlx1g+y3gxhyZU2qIJ/JrGcC6N47nzDxTbcxnMpkiZJYKazqZYEkO9vumzd2CKbzxxjPamyjUJT7Fk8/jTJ+hoqaK5PoHyQ1ws+sMEoQiatixEayvqVq5lU1WFxs21NG5eGh088P6F51t1UwXVTUtTnv6gwb57lzcEAJhenkv5I2ums0JakrbQfpQNaq0thofkW8Nv8vHmA/xC5/uxPJfHho7w3cvHqA/E+VjTvnkPymtBWPOzPdbIw00HaA1XYXsuT42e5O8G3uCx4Tf5d9uWRvtPpIbwpOQnNt3Jlmgtg/lpvtTzHH/T/xp7Eq1LCNKNxA0nPMdSbzBYuMj9NR+m5BZ5Y6bsmB3VYoBkoND3Q0d4rkSLqpPXH7oXQmDo2nytTiTon4tG/nCKHC7A5b1yDuXC5S3kS0/Ov+Y4g0js+WJi0z6/pPZG19qWqEBfqQVSlDCuV5rfh+tOzhVRg+tlcJyh+X0oc8e93qJQT0oszySkhQmqwXmxNFVV8a2gcu1Kl6HCED25C+SdHBE9Sme4k4Zg4/wDOmOneXnqELvie3Ckw7nMWYpugZgeY3tsBxVG5aK6JsmkOUFfvpcpcwpXusT1OB2RLdT7G+Y/N2vNcCZzhqHCIIOFAYQQZO0sihD4FD/7kwep9S9MVCW3RE/2AoPFQRzPpsZfy7boNqL60tTVxVwf/flL3F51J+OlMc5nz5F38sT0ONtjO6j0rZ8ieGmknyMTw9QGI1QHwzSHY3yn/yzDuTStkQTNkQQNoQhTxTx/evYIj2zewV0N7aTNEl/rPUFA1efSXAE0JcjlXIa/unCMX99/L03hGJcyszzad4oKf4iYz09DOHpdhEdKybm+McansusKnGYLJU6cvUxLffI98gv7J7yTkFKSnnNFX2tOrfF3UOFrue7jdERqeaT54HwUJWncxVuzg7wwcY57aruo8F3bc04IQV0gzs9uuW/J60HV4MjMJc5nRvGkXJLW0oXKx5v3c0/tNlSh0BhMMlSY4U/7XqA3O/7DQ3j68310RXZwIHkr57MLLcJCCEJqmJyTXWPr/xPxHlgevy3oLD8HjYDvFoL+u2/40QTaqoaeQvgwtCvpqXI43vMyOO4oxpyDuWmfXdJqb2gdqMrSFZihd6IokXknddsdnhNgLHfBue4Erjez6Lj+ZQrL1wKfarApvJmT6RN0hLewLbqNkBaeLxpcDMdzeHHyeV6cegFNaOiKgekVeWXqEO+ruZ8DiYNoikbWyfKDsScYLY0wa83iSQ9b2qTtNEdmD/Pp5n9GfaDc9p+yU3x9+GtMW9NoQkMVKjkny0tTL/Jw4yNsjXShCIWUlaIv10vKnsWWNnknz5Q1hUAQVIPY3oLw5Iw1w7dHHqcv10NAC6Kicjx1lNemX+GjDT9CS7B1ntgNFQZ5fvJZXFxOpU9ScAu40sWn+KgN1G2I8Lw2NshH27bRXVEzTyQEgu3JGj7W3l02MBaCHZW1dCWq5ydfQ1WJGX5KjkNrNEHM8BPQdG6vb+WZ4YV0aEQ3MFQNXVHYEq/EP0d2PE9yeSzFs6+e50zvGOlsEcPQ6Gip4oG7trG5pazSXSxZPPvKBd44McCpCyPMpgv8+v/zrfn0+t7tTXzqof0EAwa9A5N86+mT9A1OMjQ6yzeeOMbzr10o+wVGAnzu4zfRNRdVyBdMDr15kcNv9TM6kcGTktrKCHfd3MFNu9sI+BYiSJ4n6R+e5rnXLnCmZ5RcwSTgN9jUUslH7t1BS+PKxddSSi6Pp/jLxw7juR6f+fhNNK0S9biRmCkV8KsaQX1p2UDetig6Nkl/8G1pI5muQ9Yy19xP2iwxWcxTEQgSX9ck9u1B4tKfP0rOWV37TEGlM3ongusX6Nwaq0dbFC2MG0E2RWo4kRoka5eumfDAnJir55C2ixQdC0eWjYY1oWB77ly/3cK1qwnEaA/XzIuSKkKhwghjCI2Cu7Lr/Y3AO5J81xR9iaQ3lIuail6RqHb9ehZSSrIFk9MXxxidTON4HlXxMN2bavHp2oZuRtfzGJlMc35wkpl0WW8nGQ3S0VxFY3V8voV9JXiex9h0lksj00zM5iiZNpqmkogEaGuooKX2h9eD63pR7gy7OgQq8OldJMI/+y6PRqBp9ahKBa5XbqH0ZAHHGcLQWpHSxnb65ryyrrSSdywTJiy7rzfMm5F6XgrbHSDAzQBzKbGFNJ6qVq6oGbRR+JUA76/5ABk7w18NfpWOcAc7Yjvpim6jyle95LfUk7vAMxNPcyB5gPfVfICQGmTKmuLrQ3/Hty4/SmuwjbpAORzv4nI2c5ZPNv0Yu+N7AMkr0y/z7ZHHeXP2yDzhiepR7qm6j4SRpMpXhSIUzmfP8Wf9f8Lx1DHaQ+341QCtoTZaQ22MlkboO9fLzRW3cF/1+9GuUlN3pcuLk89zNnOaB+se4mDyZnRF52K+j78d/Gu+M/JtPt/6k0T0hYk1Zac4NnuUB2o/RGdka5lg2bOEtY1NvpqikrZKSCS256EqAl0pO5mv9Zv2qzqf2LSD0XyGr/WewHQd7mlc3rac8AX4ya79nJkZ50/PHOELe26nJZLA8zyOnRnijbf6aW2qZEtbNalMkedf7+H8xXH+yxceIhkrF0fHowF2bq0nlSlgmjZ3HNhMeK4epLE2jq6Xf0eGrtHeVEE07Ods7xid7dXs3taIoij4fToViYX7dXo2zxPPnyYW8bNjaz2qovDW2WF+90tP82s/dz+37WtHUcpdomf7xvi9P36GbK7E7m2NtDdXki9YzKQKlMyrdGkWTaUjE2m+9NeHGBlP868/fzcNc23Z7zQuZWapDoSWEZ7jk6OcmB7lc117CW5QnHPWLOJ6HpWBhWuXs0x6UlPsq27EUFdO41zOp/nyqcPcUtfMxzdtR3sHCU/eSXEh8xJrRXeq/ZvnjEKvHwF16TW70khRJirXXp4gpWSkOMu3ho/y5kw/aauAIhQ86TFWStMeXt6d6Fd0giuMA1GOeL9TuOGEpynYypnMCS7mLlBwCni45JwsQ4UBJktj7KzZe1379TzJmUtj/OUTRzjRO0Imb5aLjX0GbfVJHrqje82JTUqYzRb4zkuneOqNC4xNZ+Z/5D5Do74yyn0Ht/DRO3cQCy9n8pcn03ztqaO8dWGEidks+aKF65Wl8/2GRnUiwt37NvPJ9+1Zcft/rFDVJIq4usbEnW9HfzevgxACTSm3lS8QniL2XPrJ9abnNHyuCItFy51dy8ao4NO3UzQPzb9i2eeR0kQIfVkbvqF1ruqovtFxNwdb+GzrT3AqfYKjs0f4/tgTHJp6iYPJm7i18nbCWhjbszmVPokrXbqi3RTdAkW3gCclm8KbOJo6wkhpeJ7wAGyLbqM7uh19zvNuW7SbZyeeZsaawZMeilBQUOiMbqXkFsk6WTzpElSDJI0kaTuFM9fmvzjtNz/2FbRQUlaKC9nzNASaOJi8eT4t1xZq56aKm/nB2BMMF4fp0hf8mTShsTuxl+7YdtS5GoIq38bbuD/UsoUfDPbw0mg/m6JJPtK2jbDhW9IWX3Bsvtd/jtMz44wWsjiex7ZkDX9/8TSpUoGQZtAQijJeyPHd/nMMZFP8zYXjfKilE7+m8+1LZyk5NptiSSJ6+Zw0TeXum7dwYGcLFfEQuq7y/7P33tFx3HeW76dyde5GzhkgQIIBFJMoiQoklS3JliVHOXvW4xn77M7OjHdn9+zue+/sm3Nm3+Tg8exobM9YtkayLStYFpUsipJIiTkHgCRyjo3OFX77RwMgQQAkIJJ6lsf3HB1JQHV1daHrV7e+3/u9N2M55OX4eOH1Y5zrHCZnZQWmoXHTuloc16VvMMrA8CT33Lqc/Ny5hK6yNIfK0hzOdQ7z9IsHWLmslAe3r54zbAFQUhTiD766jWDAxO/NHtOJ1j7+65+9wNHTvaxfVYlpyERjKX7y0kESyQx/8FvbaW4oxmNqZCyHeCJNwDf7Glbk7N/1fNcw//T0bmKJNP/xq9tYVl0wRzwthCCaSc/Eovg1nYBmkHJs0o5NyrGRkMj3+LBdl7F0Ele4BHUTr6qRcmzG00kEEJr6WczKUOQNEDGzWklXCGJWmriVYdJKT70vRDMp4lYGTVYIG57s+9k2GddBlSUihpeUbfFKZyumorGhqIw804crBLYQNETyZ+wXErbFRDpLmkO6iU/TWZ5TyE0lldd9WN4VDq2TbzOW6V5wG0XSqA9sxqdGrmpdjduzh0mEEMStNKaio76PjL+Ma/P3ra+zf+Q8j1RuZE2kAo+iE7fTfLv1Nax5rDQkaeneRNcC15zw3BDeSFeinR90PI4u64xmhnm661+YsCdYFWphWWD5lXdyCYSAzv4x/vqpXRxp7SE37GNLSy0FET/ReJKT7YP8wzO7CfoWFndOJlJ8/4X3eG7XMbymTktDGcV5QRxX0D0wxtGzfXz3+XeZmEzyxQc2EfDOvoHFEmn2nugiGktSXZJLcV6QoM8kmbJo7R7idMcgP9pxAK+p8+i2NUvw1flwd+clyYOiFIHdetFPXRxnCCFiSNLVjSwvFdM+OtPxEEIksZ0uhHCxnX5sZ2BmW1kOoavztaJkDL151k/S1mmEyICkzCE8hrbsqi0BZEkmT89jS/5tbMjZxLn4Wd4c2snLAzsA2F54F2k3zUhmmDFrlMfP/8OsRdgWDqZskrBnW+YXmcUzZAey4b6KpOKI6TIzJJ0khycOcmT8MBP2BAiwhU1/qo+AGlyySeikHSXuxCn3VqBfZEMhI5Or5yFLMkPpAZq4QHgM2aDYLJ4hO0tFc24htaFcHOGiSjKGonBv5TIudhAxFZV7K5exvaIeiaz5oKYoPLasBVe4WQ8hVUUIeLR+JQ/XNmf1SYqKLEl8ZXl2ek6TlZmWFoDfZ5BKW5xo6ycaS2FZNqPjCVxXEE9cn0nFaSiyTDjkoat3jNGJBKm0xeh4AlWRmYynZp6Wh0ZjHDvTx7rmCm5oLp/JLDN0dV6vHU1T6RucyJKklMU3HruV2sr8eSfFbOHyxOlDJO0Mgmyb8HONazk81Mdbfe2EDQ+GovK5xhbe6u3g+OgAluuQ7/Hx8bqVvNLZyuHhPgK6yU3FlbTkl3BybJDvndzPJ+tXs6W0mvF0kh+cPkjacZjMpMk1vQwn47zefZaJTIq0Y3N35TK6JsfZ3d9JgcdPfyLGl5bfQDST5pWuNvyazmAyxqP1K0lYFk+1HSGWyfDNNZvxawZnxobY1dtO3M5Q4g3yuab393C+VAghGM/0cSr6Bhl3YWf7iF5CrX8T8lXettsm+7FdZ+Y7MGmnOB8fpNybg09d+oDEUHqSI2OdrM2p4mPl6whqHpCgIzZMyrE+8KDky+GaE56InstHSz/FiegROhLnyDcK8asBbvFvpSm4EnMe6/0rIZWx+Pnbxzna1kt+JMDXP34TW1rq8Joalu3Q2jXM3zz1JvtPdc/Lw23b4Y39bbzw1nFyQz6+9rGb2LSyEr/HmDEEfOGt4zz+3B6e23Wc5roS7lg3OzCyqjiH3374Jkxdo7o0h5ygF0WWcV2XnqEJ/vqpXew6eJbX97WyfeMyChctcP5wV4IkZAytkWR616yf224fltONIV9dyvJSIUv+qbBTlayHj4Pl9E0RnwFs54JbqKqULuAGLaGrNchSYEbgbNntuGISWchTVaJpKOhaPVkt09Uh67Kr4FN9NAdXUmKW8J1z3+ZE9Dg3521hKuyDsBbhE+WfnBPMC1Dqmd1aU2X1sk+njnB4Z+RtXh74Bc3BVWzMvRG/6ifjZvhZz0/e7yeZ+vfimZIkSXNaY0uBLMn4Lml9GJeIimVJmtMeAfBf+jMJ/PLcil1An/uzdMZm57utvLTzBJPxFH6fgWlojIzFsWznujrKCyE42zHMUy/u53zXCIau4vMaOI7L5CU5Tam0xUQ0SUlhaFHj7am0xU93HKJ3cIL1qyqJhLyXfd1oKsHGonK2lFbzpwd3cX4i61qtSjJfWbEeRZLJOA4/PXuMHNOLrigcGOrl1tIa0o6T1U0VV1IfzkOVZTYUlrN/oGdGj9U5OcFoKskfrt3Ca91nOTM2xInRQXZ0nqElv5TOyQmODfcjgGJvgC+vWM8/ndhH5+Q4W8vr2FhYTnUwwtbyrA4vqJvcWdHAM23HpiKEBK4QeFUNgeCd/g4+29hyXfLTLoUlUpyMvk5/8syC28ioVPs3kGOUX3XV/MhYFz/vOczNBQ3YrsMzXfsYTEW5u3o1YT07vTitybFFNq7Fcl1csv/tIlAkCV1WkSUZU9bQZY3+1AQDqQkkSWI4PcmzXfvpSoxQ7cu/whF9cLguGh6f6mdlaA2NgRUosoohmxiyMUfXs1iMTsR582A2++jm1dXcvq4eY6qCoqkKTVUFPLJ1DSfOD8yJiQAYjyX5xe6TZCyHuzY1ctsNtajKhYyhcMDDXZsa2X20nX0nu3h97xluXVs7q0Vm6Co3ra5GlmaX8GVZpqwgzNb1Dew/2UVH3yiJ1FJEVx/uCg8omPo64J/gouA/2+4lY52ecj/+4Bi+JMnoaj2y5JkhK447guOOY9ldiItMEk2tGWmeioIkSShyBE2tJm1lQ1Gz3jsdqEohrojPbJvV+xRd89adJEn4tQAexYMrXAQuhmySq+fRmeigwCikzHv1pnAJO87J6An8SoAHSz9KUA0iSRIj6RGsefKG4IIXbva45n5/Q1oQv+pnOD1Mxk1jTI3Vu7gMZ4ZwhLukdtWvMjp6RviHJ9+irjKf3/vkVgryAiiyxBvvtvLDZ/de1/dOpW1+9MI+jp3u5Suf2MyqxjJ0TWF4LMb/9VcvztpWkWV0TVn02pRKWSxrKWTr5kZ+9sphfvLSQR776Ea8noU1M9Mie1mScMlO5eR7/TPEM+3YmKrKvVWNlPuDuEJQ6A1wR1ktPfEJ3ug5R9vECJ9sWD1n39NTPrKU1WZJU+9RH87nE/WrkACfpvNqVxvFvmBW7Kxq2G5WkyLBzH/Ph7Tj8Pz5U9xdWY8kSZwZG17UebpauMKlPbafo+M7cJn/egMI6YU0BW9/X6Pol+KG3Gp29B3hXzt2k3ZsXFy2FDRxT+nqmZZW0snwTNc+Do11MmklaZ0cIOVk+C+Hn8avGlT68ni0chNFnhBh3ccDZS38pGsvf3ToabxqNpuvOVzGTXkNDKQmrvqYrxWuGeHJjtSNc3TiIF2JduLOJCDhU/1UeKtZGWqZGk1fuq5jYHSSroFxvKbOuuUVM2RnGpIk0VhVSH7ER1f/3CiD/pFJTp4fwDRU1jWVZy/IS778XlOjtjSXvSc66RwYYyKWIic4O+k7S9gEYtqQ7KK1Pi/kQ1VkYok01pIMuz7kFR5JwtAa0dSKGZEvgCuixFOv4jVvm/Gv+aCQFSJ7YJrwOCNTERHnL9pKwtBXzr8DsmGqulY3Q3iEyJCxzyFwpryHslCV8qkpr/f/dxxJD9OZ6KTYU0KunosiKcTtOAfG9zGQGqAlshbP1Lj6qtBqDo4fYMfAL7i36H4KzEJs12Y0M8pIZpg6fx2msvgqqiTJyJKEI2wybgaBIGEn2DP6DoOpQfL0uU9nqqRhKh66k10knASBi9qWsiQT0sI0BZfz9vAu3h19l41TouXzsXO8O7KHcm8FZZ6y932+5oPrCi6+ICVpcTlL0xWE2SPi0pTG4Mqv7+obZ2Qszlc/eTPLagqRpKxR6dhEgnRm7g1MQkKWJVxXkLGdmdiTmcmyWQ9TUx5AU9tdfJySJDEeTdDZO0ZFSYRbNzagawpCCPqHo4xNzG5thgIeyorCHD3Vy2Q8NUezc+l7m4bG1s3LWLmsBCEEz756mPzcAPfd3oyuKXPOjSxJvN3bwbHhfhBQFczh0FDvrJaiV9W4paSaX3a14dMNyv0h7qtq5M3e83ROjpO0LTSfQsq2ea27jX1D3XTHJ1BkmepgDqos8+2je4hZGXJML42RfE6MDPLM2eMoksTdVctmpvEunXCsCIT5Zfc5BpIxPlazgvOTY+zoOMPRkX6eO3eCreV1hAyDXb3tGIo6E0XyWlcbu3rbpwiVxq2lNZeNS1kKXOHSlzzJ7uEniNkLEywZleXBbUT0a3PNrAiX8vmcmzk+0UPSzlDkCdGSU5VtRU2/pyRT4onMtERvym+YtY+Q7kWfyvtTZZlHKzeyPFRKe3wY23Uo9UZYHamkMz5Cb3Js1t/igbK1JO0MQW32/bUhUMRXam9jRfj9D4BcCdeM8LQn2ni25ynGrTE8ihe/GkAgGEkMc2byBPtGd/ORko9T7atbsgCsdyiK6wp0TaGsYH77eUNXKc4NzUt42vtGsWyHdMbif/7TK+j6XJYsXMFoNLtIZCyHWCI9i/AIIYgnM3QOjHHiXD9ne0YYGY8TT6ZJWTYTsRTReGrW4vVvAxKqUorP3MZ4bHaVJ576Jf7U2/g893ygVR5NrUaWQzPCZccdniI8FweGBtDV+oV2MdUaq2d6xF2IDJZ9DknSZqa8su9VgSJfXbjkhDXBS/0vknSSqFK2TOwIB1vY1PnruT1/60x1tM5fzz1F9/HLwVf5zrm/Q5HUmSpLsVlMubd8SYTHq3hpCa/lpf4X+c7ZvyWkhUm7afxqgOXB+c3R/KqfjTmb2DO6m79q/XO8iheP4uEjJQ9S7q1AlmRuydtC1Iry6sDLvD28C0VWSNpJAlqAjxQ/gE/1X9U5uxTf//9eZN/OkwhXEM4L8Lnfu4fGlit7lWTSFi89+S6v/XQvtuUgyzKrN9fx6W/eiS9w5fOYF/HhMXUOHOuksjQHTZE5fKqHXe+1zbu9JEFxQYhUxuKVXae4aV0NkiTh9egU5gZQLnLe9Zg6xQUhdh84z7KaQnLCPiSgMC+Az2vg9xnkhLz0Doyz72gHxQUhhkYmee7VoziXuLfn5/rZfksT//LMe/z5469z5y1N5IR9xBJpevrHaaoror5qbtXNY+p89K7VjEeTPPHsXkJ+D7duqke9xCHYRbCltIqKQJiw7iFieNhQWE5L/oXIHEmSuKuigZb8EtKOTUA3UGWZzcWVNOcWoskKBR4fmiyzNr+EhnAeMhIhwyRsePitFRuIZtIYioJH1QjqJl9esY6xdFb3UuwNUODxzdxfHqhpmiEuN5dUUeEJEZ1IMtwXxZQkNpml3HNDA5qQiQ0kuMNbhRxQ8Oo6iXAaCWgK5eMrUQkGPehCpr9rDE1VyMsPXtY08nLItouSdCQO8M7QDxhJt19ma4liTyPLgltQpWsTyyQhUeXPpzawsDO8qWjcXrR4va2haNyQW80NubNjVFaES+cQmNsK55c5VPrzqPRfXSzHlXBNCE/MnuSF3p8iSTKfKP8Ctf569KkeeMZN0zp5ih39z/FC30/4QtVvE9KW9sQfS2ZvMIosz0wiXApFlvB55v8CTsSS2aqMgGgihZxaIOBRlsgJeQn6zNmZxELQOxTlhzv28fK7p5mIpQh4DQpzAgR8Bn6PgYRE33D03xjZyUKWvfi9DxFL7sC+yIHYdccYnfwrVLUSQ1vxgU1syZIPXa3BmhJSO+4IjjM8q8Kjaw3I8sJeIpKkYGh1yHII1x0FLCy7E0kyLyI8GrpajSxfTWgrlHrK+Gjpw/SkeohbMRwcfIqPUm8Ztb66WU7Lqqxyc94t1PvrORM7w4Q1jiqpRPQcany1BKZsHwJqgO2Fd1Htq5nVSjZknZvzbiGohabaDzKbcm+kwCygLdaG5VrkGwU0BZczmBpgJDM8S3gMYCom9xTfS5Wvip5kDy4uuXoe4Yuu65AW5uHSR2gLtdKR6MAWFgVGIY2BJsL67Ou/wlvJrfm3k6u//8VuqHeM86f6EK4gryhBcpFi4X07T/Hk37zC+Ei21Vm1rIib71m9KLIDUFeZzyfuv4GXdh5nz8HzGLpKdXkeH7+nhWdfPTJne0mSuGVdLafa+nn6Fwd48oV96JrK3bcu5wsPb5rVMoqEPHz6gXU88dxe/sufZj17SgqzU1kN1YUEfCYfu2sNTzz7Hn/8dzvQdZWgz+D2G5fhvWQt1FSF+25vRgjBSztP8D/+8udkLAdDV6mryqe6fOFz7/cafPah9YxNxPnuj3cTDnlYu+ISLYmAHMNLbeiCl898midTVakIzP77F3r9FHpnE+Bi31z7kjyPb9ZYOUCO6SXHvPBg6r3kd9PwqBpGTGLvL84gXIHtOCiyzO1bV3CyrZ+x0TiyLBEK+2hZW8mu549T95V8RNTh8I427nughb3vnSOdskgkMlRW5XHr7U2oqoIrHGw3jSabl32wE0KQdKL0JU/RFtvNmegu0pdxVAbwKAFach4gx7i2FdF/q7gmhKdt8hRxJ8anyr84lYR+UWCnbNAUXImhmPyk+wnOTJ5gfc7mJe1/urQrEFzeJmD+G+q08CzgM/ivX7qT/Mjlny4NTaXoItHxRDzF48/tZsee00QCHr78wCY2NlcSDngwNBVVkTl6to8//t4rxJNLNU369SBIptZM0PtRxia/jeDCOUhbJxgc/xa5wT/Eo69DkryLJj5COLgijuOOkkrvBhQCvkeuWCGUJBVdW0Y8tWNqP0nS1nGci1LWda0RRb68sFxTa1Hk8BThAccdIm05UynuIMv+KTPCqyNyhmLQGGyiMbg4gbcsyRR7Sij2RRwdPgAAIABJREFULBw4G9RCPFDy0DzvZXJHwbZZP5OQKVaqqMyrnTX6HNJC1NNw6S4A8Che1kbWsTaybsFjMBSDFaFmVoSaF9wGoNpfQ7X/ykGc1xKuKzh7oocn/+bVGbKTXxLm09+4k/qVi9dGeT06j967llvW1RJLpFEUmYIcP6Ggh/rqAvJz5q41eTl+vvbZW3joztWkMzaqKpOfE8A0Zi/HuqZy+40NNNYWMTGZfWjzew1Kiy4QhnUrK6gojTAyFsd1BUG/SVF+kJHxOI7jzprAMnSVB7atYtOaasajCSzHRVMVQgEPBbkXjnPjmirKiyNUlmYrl5IkEQl5+fpjt9I/NEHBJaP0iiTzWGMLuZ7ZLYpfRUQiPkrLcujtGSW/IMjpU710d4/y+S9twbFdfvr0e7iuIDcvwMnjPUxMJCgrzyWTcdi18xR19YWkkhayIpFO26iqQtQa5JX+v0JGwa/l4lGCqJKBKunIkoItMqSdOBNWP1FrkElrkLgzzpXWfhmV5aFtVPsWvsZ+g6XhmhCe/nQvQTVEubdq3puZLMlU++qI6Dn0JDtZz9IIT9BrggSOI4gmUpQyt63luGKmEnQpIsFpJ02JSNBLU9XSQh7P94yw69A5JAke2bqGT921Fk2d3cc2Fz2Gfik+3BqeaUiSRtD3GVKZIyTSO7lgzOeQzhxicOw/EvA8iNe8FU2tQ1UKZhLKpyGEiysmcZwRbHcAyzpLyjpCMr0H2+km4P04Ad/HufI5UzC02eZcidTOi1LWNQy1AUm6/AKtKZUoch4W2VZYtsLTx4yPj+SbmtD6cMN2XJ7fdYx1TeXUlf/qTFRcLwghGOod4wd//hLnTvQA4AuaPPjFLWzc1oyiLr79KkkSHlOjZp6E7PlaRNOIBL1EglcmCLqmzhCP+aAoMsX5IYrzZ6+JC5kDaqpCaVF4Fmm6FLlhH7nh2ZUUSZLIz/HPS+BkSaIyeP2dl68FDENFVWU8Hh1VVZBkKWvDYLu4rovjCnRdZVljMYcPdRKPpXjoY+uxMjbFxWEefmQjXq+OEALPVDXOdtP0J8+QdmNIyFMPZBc0ZAIBQuDistgHXAmZCt8a1kQ+gi5fGyKZo/t4oGwtVb786+4rdDl0xPs4G8tmaVX6iqkPVHxg731NCE/aSWEoJpZrXfY0ehU/SWdhn4GFUFoQQlMU0pbN+Z4RGisL5hCrZMqibzg67+urinPwmBrpjMXRtl5W1BQtadywc2CMdMZGV1U2rKic47EjhKB7aBzL+reZLjwNVSkhN/Qt3PE4qcx+Luh5BLbTy1jsO0STP0NTylGVImQ5hCL5ETi4IoEr4rjOGI47huMOTY2QXyz8XKwLqIyqlCNLIVyRnRDI2KdnfqvIOWhazRV1RbLsQdfqSWX2Ae5M1MSs/ShXPyl1OdiOSyptIUkStuPgMXQylo3rCrweHWWq+pnK2DMiWUNXMfULzuOO65JMW1iWgyxLeAwdbeqmnkxbDI3FeOfwecoKwuQEfSiKjN+jz/h0/LohMZnip4/vZP+bp3BdgaopbH94A3d+fAO6cV0GV3+D9wkhXByRwJlxR5dQJB+KbOAKGyEsZGl+o1chBI6Io8pZkiYrMoapoWkKhqmi6wp5eQHCEYOfPP0GquKnrq6QgoIgpkdj91ut+HwmBQVBLMtmRXM5z/9sP4oq03JDNatWz71RC9wLlOYqivcFZi0353+esFZ8zaQA5b5c/seqj12TfV0NbOEwkomya+gALeFlHz7CIxD0JDt5rvepyxKejsQ5qrxLL13nRwLUledxqn2A3UfbuaWldpYxoBCCw209DI3N3w8tyg2ytrGcN/a38st9rWxeWUVFcc68pMd2HLJC3AuLvSrLIEkIBOnM7LF3IQTDE3F2H2knmbEu6/b86w5JkjG0FeSF/xsjE39CMr0buPh8uThOH47TN/X/CsxkwrhT/1x9i+/CWHkFaevonN8rSh6aurjvoaGtmDrOuWRLV2uR5rhMX1t09I3y/RfeozA3SGvnIDeuqqazf4y+4Sifu289q+pK6Bue4Lk3j9HWNYwQUFEU5mN3rKa8MIzrCg6d6eHFt08wGk2iyBIbmiu5d3MTmqrw2ntnePPgWU51DPLPP99L0G9SXhjmU3fdQMEVWr8fRqRTFi8//R6//Nl+HNtFUWU23LGcB79wC/7Q0j3CfoPrC1dkGIi/RjRzFCEcEnYP1aEvk+vZSMYZJmadI8dcjzSPD5YjUrSO/TVNuf8ZgJKSMHl5fhRFxnFc5Km1Om6fwV95gtrw1/H7TVRNIRz28enHNqMoMrIiYSgaW7evIB5PI4TA6zOui1OwhESuUcEtBV+iwKy7arIz7VCtycqSp8ss1yFmpQlql49nWSqqfSWUePLpjPddeeNrjGtCePKNIsJaDn2pnstuF1CDFJkL6w4WQk7Qy9b1DZztHmb30Xaefu0QD25pJuQzydguh8508+TLB8ksMA4e9Jk8uKWZk+f7OX6un7/40U4e3rqGlbXFeE0d23EYHo9zrmeYk+2DbFtfT33FhXJ0ZXEOHkNlMp7m1b1nqCrJnRJPC7oHJ/jRjgMcbu1Z0GTswkjpdHmTi8biBY4rslMV0lSzRpoqin4I4ykkScHU1lAQ/n8Zj/0jk4lnZqosc+Fw8VTX5aEgsfgphSzhqZqH8EhoSjGasrjvYVZsrSLEXH8nXW/ierckLdulrXuYVQ2lCCF4cscBfutjm0lnbN45fJ7KoghPvnyQyUSKz9yzDlcIfvzqIX64Yz///lO3MjAyyT+/uJdVdSU8dNsqhsdjPPGL/fg9Onfd2MimlVXkhn0Mjcd5dPsallUWoGsqkUWKdj9McGyHg2+d5qePv8HkeHYis6aphM/++7soqpg/OPNyyA5CCIQrZszrstdwdvRckudGcVwtptcS151+3wtj6pKUHbxY7Ej+pfud2efUGnW1+5x3/9lFcNa5utx7KLJJaeBBSsQDRDPHGEq8QUCvRwgXXckjV8kHZITIPizN9oVysZxxXGEDAkVRptpQ01UYCQmFNAJ/2CGcY84cqyS5BIIexMz65KIbKrohI3C5Hte9hEypZzk3F3yREk82sHfaAsUV2c+WrXBJiOlPO/X7af8cR2Q/mzI1lp90LN7sb6MumE9dMH/mte7MdlnjADH1Wi76WW9igv3DXdxeXE9QN7PNuqkpZBcXianjENnzIU+9bvp30kXbO1NO5lnbABlNUhfsskzvP/vdzm5/rQwgrwnhuSGykebQmkVte+nEx2KgqQp3bWrkdMcgb+xv459/vpdX3z1NTshLLJFhaDxGeWGYrevqefW9uW6Vsiyxrqmcrzx4I//84l7eO9HJyY5Bgl4DTVNwHJe05ZBIZn1IbmicrYivLIqwbf0ynn3zKM/vOs7xc/2U5IdIpiw6B8ZIpS0+etsqfrm/lf6RuWnwtuNypK2X0x2DxJMZEqkMXQPjOK5LPJXhyZcP8Pbhc3hNHa+pU1Oay6bmK4/U/qpCkmQ0tZrc0LfwmrcRjT9J2joyT4vqSvvxZNtGahU+czt+z92L7j3LcgBNrSJbQbq4OqOia01IixzxVJXCqSDRS8eMJQz1+hMegEjAS0tDKQN5QY609rJ2WRnReIrzPSN09I9xpLWXe29qwtAUBFBTmsuuQ+eYiKXYf6qbWCJNY1UBsgR5YT8Bn8GBU91s29BAfsRPNJ7C0LJ5cOWF11aLkXTSxKwk+eYH68V0KYQQtB3v5od/+TLDfVkCnl8c5rH/cDeVDcVXePXcfaWTGXrahzmx7zynDnUw0D1GMpZC1RRyCkPUrShl1aY6qpYV4w95liDUF0yOJ+jryLZP/WEvxeW5yEr25jcxGqf1SCeH3mml/XQ/0bE4QggCIS9Flbk0rCynaW0VlQ2LM8MUrmB8NEb7qT6OvNvGuRO9jA9PYlkOvoBJcUUuTTdUsfyGakoq89DmiaG43GdJxtOMDkbpbB2g9WgX3ecGGRuaJJnIoGoKHp9BYWmE6qYSmtZWUVqdjy8wt0WVcUcZSrxJnudmNDlM0u6lJ/YTFMlDZfAxknYPg4nXsdwoquTFFRZF/rux3Sid0R+QdobJMTeSY25gOLmL8fRBJGQKvNuQJIWk1cn5iX/EcZMUeLcynt5Pse8jtE98l5LAA4ylDhA2WphIHyZp96BIHkoCD2HO69S+NEgoBLV86vybWR25j4heMtNuFwje7D/LwdFsxpYmKTxa3cJ4Jskb/a3YrkvSsfhs7XpG0wle7T1FwrZoDBdwe1EDb/S38uP2g5T5IjRHSvhk9Vr2j3Sxe/A8GddmZbiE24rreWvgLHuG2jEVja3FDZT4Qjx1/gBHxno5HR1ga/Ey1udlW09xJ8nTna9Q7S9lJD3B6ckOdFnl/pItlHoK+GHHL2gMVnFz/hoUFHqTQ/zvc8/wxeoHqPRd/lpzhMPpaAdvDO5nJDOBLqtszlvNptyVaPLV05VrQnhMxbMk74+lQpIgP+Lndx+9hbKCMDsPtNEzNEHnwBiFOdnQzodvX82Rtl5e39c67z50TeXem5ZTVZzDS7tPcri1l97hCZJpC01RiAS9NFTms6quhMri2SJBv9fkC/dvwO/V2XngLG1dw5zuGCToN2koz+eezcvZsKKC/tHJeQlPxrJ58e0TPL/r+Dy/c2ZcpKexpaV2QcIjSRpe8w6US0aqNbUG+Qoi3MtBkXMJ+7+E616oxkiSjqG9v2gISZJQpBB+z514zVtJZw6SSO8mY53EstuxnUFcNzo10SUjSSay5EVRclHlIjS1DF1rxNBWYWhNyEsU7kmSis+8C0ky4GLHYEnDZ96x6P0oci45gd+dk5+FpGLozR9IFU5TZTRVQVNkTENFUeTsk5qAyXia0WiC1/e1sftox8xr6qbGjIfGYgyMTvLUq4dmkcWygtCUWd/1RXu8n93Dx/lSzb3X/b0uh6HecX7wFy9zdkqkHAh7+dQ3trPmpoZFRS1cjMGeMX7+xDu8/sx+Rgbmq152seeVY/gCO9m0vZkHPn8ztSvKFq2J2rfzJP/rP/wQgI1bV/D7f/opfEEP50/18dS3X2P3K0fJpOZ5cHinlZd+tIeb7lnFf/qrx1DnCRu9GI7jcvTdszz3/V0c2HWadHJuFfPYe+d45cd7KavJ565PbOLORzYQCF950jKVSHP03XPsefUYh95ppb9z5Irft1Cun813ruSjX95C6SUhpaPJ3ehKmKDRjCTJeLUyCrxbGYi/isDFESkELn6tlrQzgqnkE8tkfbMKvXdiizjdk08R1BvR5BA+rYa4dY7h5Fvke7agyD7KA48yljrASHIXkqQxnNyFLOmMpQ6QcUYZTx9iNLmHkLGS8fRBvKlyinz3IUnyvDEvV4IiaeTqFVT4WqgPbKbY0zjHSVkAQ6kYmqzwhbqNfLd1D0fHesk3/XTERvlG063kGj4ywuF7re9yR3E9K3NK+JsTb1IbyOO24nrOT46wvbSR5eEiUo7FD8/uo9KfgyYpvNRzkqZwIZ3xMQrMAFtLGij2hPCoGttLm/CqBo/VrieoX2jdO8KlNznE6ckONuet5v6SW0i7GSJ6EBeXwfQopVYBUwUaLNemNzlExp37/boUXYlBnuh4keXBWm7KX01/cpifdL2GTzVZG7n6mKJfCYXeaDLJWDIrZvZpGvk+37w9w4KIn8/fv557NjcxmUjjCoHf1CnICeA1NSJBDzUluYT88+sqVEVmZV0xdeV5DI/HiSXT2LaLLEuYhkbQZxIJeGbpd+AC4frC/Ru5d/NyJhPZPq6uqUSCXnJD2Zvxbz98E5/Y1kLFJU/JpqHx+fs38JFbLj+eO42Fjj97LBp+z3b8nu2L2tdioSp5RAL/7pru0xWCRNoikbFI243YTh2OOwEiiqQk0XUHQ5XwGTqqoiOhIkleZNmHLAWQpMU/Gc8Hj7EWj3F1AYCy7CPoe/Sq9nEtMH0aplsA0/B7dSJBLw/fsYq1jRcE1LIkEfKb5Ia8lBWE+Z1HbiYneGHyRleVmZHl7I1FzLiqXi/E7SQTVgIJCGt+dEVjLJN9QLCFQ0QLoMkKUStBwkmhSgphPQBCMGHHp45PENED6PLi9QgTozGe/s7rHH6nFdcVGB6dez91I7c9uHZJFQvXdWk72s0//9lLHNnThjUlEldUGdOjo2gKws1WfzJpm/hkil/+bD/nT/Xy6W/excY7mlCXOM0ZjyaJRZN0tg3w+B8/z6lDnbiOi6zIaFp2ysixXSzLnpG/LVtVfsUWQCqZYefzB3nq26/R1zEy02IyTB3DzArerYxDKpnBdVy6zw3xxF/uoPvsII/93t3kFs5vADuN6FiCZ7+3iwNvnUZcRHR0Q0U3NRRFRgjIpCxSqQwImBiJ8fLT7zLYM8bX/vtDlNUUIIQgZp0hljlHRegzyJcJ6dXkILJkois5yJKGwEGWNFQ5gHBdJGSSdh8DiVco9t2L4ybJOCNTLSEviuRFlf0IBB61mOHELgp8dzCS3ENAX4YQNh6tjIh5AxHzBkw12xYPaoU8WPbfGMt0M2H1M2kNk3DGSTkxLDc11VKTUGUdUwkQUPPIMcrJN2oI68UE1DwUSb/sWhfQTAxFJaCZpJzs967YEyKom2iKQjJjYQuHgG6iyQo+zSBmZS6k2k1d25abDQ2+Ia+coGaiywr5ZoC7S5s4Ex3i+a5jNIeL2VqyLNvqEpe2Caf2B1T6itlWuAGveqHYMWFd3lfoSjg4dgpXCNZEGghqfkKanzeHDnJw7DSrQg2o8tVFa/xKEJ6njh7lb999FyEE22pr+b+3bSNozDWtkiQJU9eoKJq/7B4JeIkELl8JkCQJr6lTUbT01prH0OZUfy5GWUGYsoK5pXtFlqkojMwhQr+ucIVgMBpjf3sP+9t7aB0YoX9ikngqgyNcdEXNEtWgj5JwiGVFHuqLIiwrziPXt3ifnt8g+51bVVfMG/vbyAn6CPgMxmNJNEVhVX0JNzSVs/PAWV7f28rNa2pQZJnRaILivCDBKWId9JkIAYfO9OA1dXRNoTgvOCfC5WrRFuvlyPhZUk6GEk8eN+U18w9nn6chUM5IOkp9oJQbc1dwZPws5+N9JJ0M63KWEdS8PNH+KsuC5QylJ7g5r5mWSP2isvls2+HVn+zjlR+/h5WxURSZG7c388AXbsGzgInpQhjoGuX7f/oiB99qnbmBVDcWs2ZzA1WNRQRCXtIpm76OYY7uPcuJfedJJy3Onejlu3/yAh6vzurN9UuafotFk5w70csLP3ibkwfa8fgMGlZVUNlQRG5hCM1QiUeTDHSP0tk2wED3KE1rq2f0Qwth3xun+Jc/e2mmQuULelh9Yx0r1lVTUBJB0RTGhydpPdrN/jdPMdQ7RiqR4Y3nDuALefjMN+/Ee5kHs9zCILUrSjmypw0kKK8poKqxmLKaAgpKI/gCJrblMNgzxpE9bRx6p5V00sKxXY7saePFH+7mS9+6H5Q0PZM/wxVphhKvI6ERNFYgoTCW2kvcOsdo6j1Uycd0e/niT+4Km4HEy1huFEMpRFfCuCJDwuog5fShSn4kSSbtjtAXf5Gk3U1AX4apFGK5E5hKIa5Io8thPFoZ/fF+YtZZQJohPJpsUOJZTrGnKTulNa+eaBrTeWMK0tTAxpXWO0mSOD7Wx3OdR2mPjbIxvxLLdabiM7LwaTorIyXs7G/j2FgfKduiNpiHKikEdZOd/W1MWmk25FfSklvOyfF+CswAuaaPmkAeJ8cHGM8k0SSFsXRW3xbWPUzaKV7uOcW6vAqqA7N1biWe/EVJVMSC52IuBlOj9KaG+FHnjpnP5giHkOafGuv//4nwCCFIWBbt4+Ps7+nh7Ogoo8kkEhDxeGjIy2NdaSkVoRCmql72j2o5DgkrW+5KOw7XNWL4N7huEEKQcRzePH2eJ989wtGufmLp+YwYM4zEE3SMjAM9yJJErt9LS2UJf3D3LZTmXP7p8WJEkyn6JibxaBrF4QCacvXheh8ULMehZyxK2rIpDgcJeubegFVFJujzoMjZJ/qgP6tvMA0Nv1fH7zX41F1reeGtE/xwx36EEJi6xi0tNaysK6aiMMIXP7KBF98+yePP7sme65CPB269UG0M+T3cf/MKXtt7hiOtvSyrzOeRbS3XhPBkq9pZ4aLt2uiyRsrJcGziPDfmrcARLncWrWMkHeXnfXtYEarGES6mYjCUHqdtsoeV4Rq8qsmDpTezf+wMnYlBVoZr0K9AeBzH5b3XT/Ds93aRTlpIssSK9dV86hvbiORf3nTyUqQSaV74wdscffccQmRH2W+8cyWP/LvbqW4qmdU+cl3BnUMbeO2n+3j6O68Tm0jSc26IJ//2VYorcymex7NnIYwNRXnq71+j/XQfVcuKefirt7N6cx2R/OAs4pRJWwz1jjPUN05148KjzEIIus8N8czjbzA6mCU7hWU5fOLrW9l81ypCOb5Z297xkMWxvav43v/6OW3HukmnLF798V6Wr61i0/bmBcmboirc/uBaUokMDavLqVtRRmF5DoapzTo2IQS3PbCW5//lbZ773pskYmmsjM3h3W30dQ5TWhOmyHcXGWeErLeNgiKZSMgE9CZ8Wi2aHMJUizDVYmRJnxIaZ71wfFo1WUuJJH69DlUOUh74JBl3lGK9HkX2oSs51Ia/hisy+LTqbDUHm7rI7+DTaqgMPoah5KMpEVTJR9LpQ0JBvajNfiG7S772sj4hqA3kUuoN0xQuoi6YT8LO4NeMmTwrRZLZXtLI6YkBYnaaG/OryDWyf8t7ypZzNjqMT9ORJYmPVqzidHSQlG1RZAZQJJkSbwhVlin3hVkWyvrUlXpDPFSxipF0YiYA9mLIzP3bS4AqKVjCnhFVp9wMSWdxzudBzUeFt4gvVD+Ab6ZyJPAoJtr7aBteive1B8d1aRsd5V+PHOHVc+cYSybJOA626yKRrWgYikK+z8e9y5bxaHMz5aHF38R+gw8nMrbD84dO8Z033qV3LDrD6VVZJugxMDUVMbVdLJUmPTVV5wrB0GScyWQav7n4p24hBK8cb+Pbr+9hZXkRf3T/7eQHri7m4YPE0GScP/rxDkbjSf7zfbdya+PcUfnK4gi/95nb8HsN8sI+qj6TS9BnsHV9A7bjYOoqJfkhPnffehKpTNZXRpHxmjqqkp2KWNNQSn1FwZRPT7YV6zUvPJkpssTdmxu5uaUm686rqfi87z+3xxUCW9jIyAylxvCpJmnX4s2hIzxUejMDqTF2DR1hugcz00oTMJga4/D4WR6tuJ3dw8dIuRYgCGt+vIqBIatTC+kVDkJAZ2s///p3rzHcl3XYLqvO51PfuJOymrk+XpfdlRCcPtzFWy8emWljLVtdwRf/8D6KynLmVFNkWSK3MMS9n9lMfDLJM4+/iZWxOX2ogzeeO8gnv77tihWYaUTH4kxOJKisL+Jr//2jLF9XPa82Rzc0SqvzKam6PJmyMjZvPHeAM0e6EAJMr85DX9zCtofXz2nvSZKE4dFZs7meR3/7Dv78W/9KMpYmOhbntWf2sXJDLcGcha+3irpCPv/792J4tAWJkSRJRPIDfPRLWzhzuJODb51GCBjuG6Pn3BDltYWEzfkHYjzalUMmPepcUXHQaJzzs5AxN0g4ZKya2v5CppRPr8HHB+sKLoB8T4BNBVUXjk33ENJn62Y9qsaa3LkRFEWeIEWeC1EdQd2cESBPozFcSCOzDXlVWaEpvDRRti5rFJg5nIqeZ0WoBk1S2TN8ZEa/M0OA7BRp1yLlZohaMXRZw5B1VoUbODh2mtPRdppD2bH8SStOvqEgaVfPJJdMeIQQHO7v50927WJ/b+/MYqVIEvrU07UrBHHLIj4+zt+/9x7nRkf5T1u2UBYM/qZd8WuMYz0DfPuXe+gbz+oyPJrG5voKbqyroDQcxKvrCAQpy2YsnqRrdIITvYMc6+5nIpli64pafMbib7RJy+Zodz+945NU5UU+EBHutUTH8Dhn+odRZImMM/94vqYqhKdHxBV5xvTSY8pwkfeIx9DwGPPrG2RZJuA1ZnlXXQxJktA1lZxr1MLKuBavDxygKzFIxrW5q3gDiiQT1HzsHDqcPV7VACQSdood/XsZz8RoClWQZ4SQkXh94ADj1iRlnnwkZFQ562wuI6MsopWVTKTZ+b2DnDl8IdutoDRC1bLiGf+VxSKdzLBv50kGp4iTosrc++kbKb7CKLs/6GH7wxvYv/M0Z0/0kEnb7HnlGNs+tp78ksVNrQkBhqFx72c207yh9ooC6yutryMDUd5+6Qj2lElqw6oKbrlv9WW1TIoq07y+huZ1Nex94yQAJw900Hl2gOachW/+siLj9V/5AUaSJIIRHy03N3BkTxu25RCPphgfjc2kyf9bhYzE2tzyX6lzICGhyeq816Eh62zJX8uTnTv47vnn8Com+UaESm+26hi3kzzf+ybt8T7OxbtRJYWoFafKV8yj5XdSHyjnI6Vb2Dm4n3eGDyNLMiHNzwOlt5JvXr0kZEkrnBCCjvFx/uKdd2bIjq4oLMvL446aGhrysk8X7WNj7Dx/niMDA6Rsm1fPnsWjaXzrllvI8/5Go/HrCMd1eWb/cfonsmQn5DH56m3r+ciaJnKmWjIXY7r9FU9lGIjGONrdz+a6yhnn4MVgJJbgZO/QNf0cHyQOdvSSsR08SxDOfhigyyobcptYFa7BVAwierZs/vHyW4nbSQxZm9HfBDUfdxS04AiXiJ4VLX+majtp18KQVXRZQ5dVij1Z7VxzuJpGt+KyI6q27fL6M/s5vHu2lcCZI1288/JR7np045J0NJMTSQ693TojCi6tzqdpbdWiXltSlUfTDVW0n+nDsV36Okc4ebCdvOLVi14Hy2oKWH9705KnyebDuZO9dJ8dBLJC+HW3NhKMXLkqGoz4qF9Vzr43TyFcQSqe5szhTprXX7tqR1lNPrIig+VkrUISGYR4v1DZAAAgAElEQVS4INi/HuifjNE7EZ23YhjyGFRGwlfVJo+lM3SOjSNJUBEOL+mBDrJksDZ4fRPElwqf6uHLNQ9hyPoc0iNJEjX+Mn63/hMknBQKMn7NR8JOEdb9yMjcUbh+zsTWtBZIlzVuzF3FilANSTvbBvMoBkHt2pigLmmlTdk2Pz5+nPe6u3GFQJVlHmhs5Js33khJIDDrAn54xQr+/r33eOLwYSzX5eenT3NDSQmPNDej/obw/NpheDLO0e5+hMhOCG2qLefR9avwm/Nf4JIkYagqhl8lx++lqWTh3KH5IKaE0W2DI9fi8D9wWI7D4a4+HHexcRkfHsiSTJ4xt4Ud0nyEtAs317HMJIokz/HoyTXmJmUbSvZ75FGMK+oWo6Mx9rxyDMdx8QU9ZFIWVsZmcjzBC//yNk0tlVQtW7xl/+hAlP7OC9+z+pXlBBZBEiBb5WhqqeS1Z/aRjKWJTSRoP9XH5jtXomqLu5EuW11BIHRt8pRaj3ZlTU4Bj9+kor5wUcehqAr5xWEMUyOVyJDJWHS2DVyTY5qGx2fOIjeO4zIz23yd8PyxU/zZG2/hzMN4bq+r4X/et5083/s/988eO8HfvvUusiTxu7ds4pMtq67mcH8loEgyecbCFUpFkonoQSJcuI79F01yFZqXr4yqskKOHmIJPrOLxpIIT+fEBM+dOoU1tUhvLCvj6xs2UBqcu0Dleb18dd06+mIxXmlrI+M4/Pj4ce6oqaHQvzBb+w0VunYQwgZ3HOQwuEMg54I7CbIX3FEQFkh+kHOANLhxEClAgFKUfS0uiCTIQSR54Qm1/miMeDrL2g1VYVV58YJk51rAcQXHugdIZq7s7bBUZAW2WVPIhGWRsR0c152KrJAxVQWfoeM19PflACqEoGN4nJ6LdE7XGkJkW4eTqXR2ZNV1kSUJTVHwGzp+05hjv/BBI6B6+WzVtbVXgKxoWJKyE1Sf+J1tnNzfzs+feAfbcug8089z33+LL/7hfYuqbAD0nB/Mjn1Poag8B9Oz+O92SVU+mqaQJHv/7u8aIZVI418kiSmqyF3S+Pzl0H76gp2/x2sQn0wtmrjEosmZdqDrCGITCVxXLKryJITAdVxSSYtMysK2HRzbmXF3dl3BUN/4rBH2K8EVgmgqTfvoGPu6ejgzNMzQZJyUbaOrCmGPSWUkwqqSIhrycynw++eEPJeGAqwuLSaaSmE5LolMhpFE8ppZNOzv6mU0kbVcOdTT92tBeD7MWNJVtLuzk/7JbMvCr+s80txM2QJiZEmSKPT7+URzM/t6ehhJJDg/Osruri4ealrYQEiZzq0SguFEglNDQwzEYmRcF7+uUxIIsCwvD79+ed+CS2E5Dj3RKF0TE4wkEiTt7ALmUVVyvV4qwmHKgsElZYYIIWgdGeHYwAC261IdidBcWIhHy2opUrbN4b4+2sfH0WSZmpwclhcUzGidFoLjugzG43ROTDAYixHPZHCFwFBVwqZJWTBIVSSCriiXPwfuBG7ih8jmdtz4PyL7voxI7UDy3I9Iv41wx4AMsu+rCPscIvUCyFmXT8n8GG7870AKTvkxWMiBby6YHZWy7JlqhSzLBK4x2XGFYDKZpn9ikv5ojJ6xCX5x5EIgaN/EJD87cJzAAqJnTVFoqSyhrnDhpwsxtYCe6BngaPcAJ3oH6RgeYziWmMlJ8xoaxaEAdYW5bKopZ1NdJTm+K5tupi2bock4/ROT9E1Msvdc90z7L2M77DrdzlA0vuDrSyJBNtWWY2pX9p9J2zaHOvp4q7WdQ529dI1GmUylMVSFiNdDQ1Ee66rL2LKsmtJI8JrZti8VqqxQ4rn25XpZkWleX83nf/9eGluqqF9ZzulDnZw61IHjuLz5wkGa19ew9WPrFrW/6Fhi5kYsSRKBsG9JierhXD/yRdf8+EiMTHrxjuO+oJlt9VwlhBBMjFzwSRkZmODP//DJRa+jruvi2BcqkumUjZWxMcyFv5OuKxgfmaTtaDftp/vo7RhmqHecWDRBYjJFeqr6ZmUcMmkLa5HnxXZd9nZ28/ShY+w6104snZmKX7iA6XgeRZKoy8vlazdt4J6mhln7uauxnm0Nddiuw2Q6w572Lv6fV35JNLW4qaIrYWVxIW+f70BXFNaULs3R+3pBCEH3RJRzI6PU5+VSEppbsPh1xaIJjysEe7q6Zkp/9bm5tBQXX5YgSJLEDVOj6SOJBJOZDHu7u7m3oWHBm76uKCQyGV47e5afnjhB28gI46kUtutiTpGT5QUFfHrVKjaUlV2WPLhCMJJI8FZHBzvb2zk7OspwPM5kOp0dfwcMRSFgGBT6/awrLeXR5mZqc3Lm/Vwvt7Xx7MmT5Ho8fH3jRo4NDvJ3777LqeFhXNel0O/n4RUr+EJLC4os8/j+/fzk+HH6YzEUWaY0EODRlSv53Jo1GOr/Ye+94+O60/Pe76nTCwYY9F4IAiDA3ilRXSvtSlu0fb3ZdRyv7bXXsZO7uUnse+1PfG9ix3Fyc91jb4m9XeuVVtqltBJVKIpiB0iCAFjQexlgZjB95pT8McAQIArBImkT5/l8JBLgmZkzZ86c8/ze93mfZ2XieiSV4sLkJEf7+uianmYmGiWUSpHKZDDITjs5VZV8u52WwkI+sWULO0pLUSRp9cqYoCKIXszU2whyHWb6LAhWcn4Vgg0jfT5b9cEAVETHFxAWwzLNJKL1Q6BswYz8IRizIK0+GWFXlVzFQNMNZiKxeyY4TGY0/uL1U1wcniAYSxCMJwjHs+fEIgZmgvzXV99Z8zmcFpWvPnH/moTHNE3euNLPs2c6uTIxw0wktuoqL5JMMRWOcmF4glcuX2dfXSW/+uAeNhX7VyUOumFwsneYb73TwWwsTjCWJBRPEF9SmUppOj88d3ndY3D/pmpay4tvSXgmwxG+ffICL3deWzYpB5BIZwjFkwwEgrx5ZYCXO6/y+QM7eGBzDYok37ZWwjBNEnoSq6QiCT8/dgBur52nv3Afm7dXIYoCRWV5fPgX72PyD2YJBaLEoyle/Pu3aWiroKLu1hNb8VjyxnCGLKJa1rfZuBmSIqEsaRulk5lcW2kjkGXpnuhYtIxOKplZ8bs7hWkYmGu0ZE3TJBSI8vZLFzl+5CIjfVOEZqPczEhEUczmji0scm/5mqZJIpPhuc4e/vvZdgbnQgBYZBmXRcVjs+KyWEhpGqFEgmgqTSydYSYWW3HNhewCWxJBRcKuqpS4XRsSxW8UH2troaWkCEkQaSz8+dDipDSd5y918/zlbv75/Qd4+n8TnpWYjccZDmd9G0RBoM7no9h1ay8Lu6LQWlREx8QEhmkyEAwSiMUoXaUNBtmL6HcuXeK7ly7l3JdVORs0Fs9kiIfDjM3Pc2Vmhn++fz9PrEOeEpkM/+3cOZ7t7CSWyeQuWsLCcwpkqzAJTWM6FuPKzAydk5P8zgMP0Fa8chxvJBzm2OAgsiCwr7KSvzpzhquBAAKQMQxG5+f5Rns7dT4fsUyGv79wgXAyiSiKpDSN/mCQv+vooCE/n8PV1csumrppcrS/n3//5ptE0ullN3NVklAEgZSuM5dIMJdI0D83x4WJCb563308XFu7urBOsIBUiJk4gmB7CjP1OoK6BzN1DMQ8BOV+hMxlFrOmsi0rNasSNNOABGJR9k9BWR7RcBNKPK5cdSWtaXQMjTMbi1PgvPsx8Yyuc7pvmMujU3fcAhKEW4sfA5EY5wfHct5BFlnG77LjddiwyjKGaRKKJxkLZb1z5hMpXuvqRTcM/q+nH6LQvbJVa5owGAhy/PrgXdlLbeQGOxuN82dHT/KTi1dIazoCkO+wU+RxYlcVNMNgLpZgIjRPStNoHxxnKhwlldF4vHUT6lIvGdMgqiVQRQWrtHq1LqWneHH8OA8U7qT4Fn359xKyImF3WXPtF0mW2PNQM5dO9fLqD8+iZXT6usb46bfe4Z/8yydwuNZPvDd0c9mN+k4+x6WPkeR7F4Z4O9Ay+nLXY6tCYVkequXO2mUlVQWrjtebpsnk8Cx////9jDOvdRGLJIHsuL6vyE1BiReX147dacXutGC1q6hWlZnxIMde7FhWRboZaV3nx5ev8Gdvn2I2ljXI2+TP5wObN3FfbRVlnmyV3iRbrb00Psnx/iHcVgt7Km89xn6v4bFZ2VO5clT8/UQkleLsyBhz8WTOGuQfCzZ8po/NzxNNL9wIJIn6/HzkDbR/BLLVoEVMRqME4vE1CU/H+Dhv9PejmyaP1Nezr7ycfLudjGHQNT3NK9evMxGJMBQK8ScnTlDu8bCzdPXka6ssU+/zIYoidkWhIT+fbSUl1OTl4bZYEICJaJQ3+/tpn5ggreu0T0zwjfZ2/sOjj665mo6k0/xdRweaYfCv7rsPl6ryfE8P58bGiKRSfO38eQSg2Onk1/fuxa6q/OTKFU4MDzMRiXBsYIA95eXYlzy/JAhUe73YFIWkplGTl8eO0lLqfT7y7XZkUSScTHJqdJQ3+vtzpo9/feYMzX4/ld6VIjIBBQMPybQCkh8zHkWVizANhUz0DII0hmgYWJDRdYF0SkAQ00iSiKqQJUyCSHYQcfHvqyPfaae5tJCrkwFM06RjeJzvnbrELxzYjsdmuatKj1WW+ZUH9xKKJXK/0wyDH569zOWxrP6grtDHM7u24F6jpSVLEq3la3tKCILAgfoqav1dzMUTHKivZHtlKRU+DwUuBzZVQTcM5qIJzg2O8t1TFxmaDaGbJqf6Rnijp59P7mld8T5FUWBfXSV/8NHlWpXO0Ule6OghkdGwKjIf3dlCyzrC7WKPC+caEx7ZVa/G905f5Milq6Q1HYdF5ZHmeh5vbaAqPw+nVSWj68xEYpzqHeYHZzqZCEcYDc7zF2+cpsznYUdVae75YlqCU7Od1DnLqbAVoYgyummQMbWFsdRsUGlCT2GYBrqhY2AiCxK6aaDltpM35Ij8bsPutPKhzx/k6sVh+rvH0TI6rz9/jq3769n36JZ1dSg2x432ua5lWy+3U73MpDU07cZiwWq3ICnv/TFRLPKyVpy/xMsv/qsPUlbjv6Pns9ktKOrKa2R0PsGzf/06b73YkatklVTm8/Azu2nZVU1xRT7efBcW23ITwnNv9vD2S5fWJDymaXJhbIKvnT7HbCyOKAjsrizjtw4fYHtZ6QoS6bPbqfbl8VhjPUlNx66+e5rC/5kwG4tzdfp/3unWu8GGCc9MLEZiwQ1ZkSRKN1DdWcRSUfNcIkE4mVxz25H5eTwWC7++dy8fbm7GZ7Mhi9mk4Mfr6zlUWckfHT/O9dlZxubn+daFC2wpLFyzXPlATQ3hZJImv5+GggJcqopNUXK23Bld54mGBv701Cl+3NNDxjDomJiga2ZmTSIFMBgK8fsPPcTDtVm7/kqvl98+coTpWIzLU1MU2O38+8ce41BlJaIoUuRwcDUQyOqSAgHCyeQywiMIApvy8/nVPXtwWSzsKC3FY7FgUxQkUUQgW/16vKGBFr+fvzx7lkgqRd/cHO8MD69KeBAExmYq+c732hDlIWRxDwf3exkYzNDbV4bb7cTpeISnPugkFC7k5VcKGBp9noP76vngB9pQHL8GogcQERy/CMLan7kgCHxw62aOXxtkJhIjlsrwd++0Mx6a5+O7trCp2I/DotwR8VFkiYea6pb9LqVpnOodzhGeIreTJ1obKfLc+fhikcfJ7zz9IDZVodjtXFWUXOR2Ul+UT5HHyf/74hsEInHiqTSn+ob58I6mFSRZFATqi/JXtNJsqsLLnddIZDQUSWRfXQWPtjTc0X6bZnbE/QdnOklmsoLNz+3fxj85sJ08x/I8slKvm8aiAsp9Hv74yFtMR2KMzIb4/umLtJQWYlFkMqbG6bkuXps6x5X5IRpdlTxWvI/OcC8dwasYmGzx1NHmqc9WSfU0J2YvAbDdu4nzwSsMxScRgF15TWx2V98x6ZmOR7FIMm51OWmOpFOEUklKHa4N6+4q6op46p8c4m/+nxeIR5NEwwme+/ox6reUU1i2tseHr9CNKGVf2zSzZoBaRt+wkDgUiCy7ibu8dpR7HNuxEUiSiMd34/uhazp5BS6qGu4+8Xspes4P8s7POnNkp7Qqny//u2do3VOHsk478FZtvmg6zfc6LjEamgegpbiQf/PwYRoLC9atmFkVZUPat38MME2TyxNTRFLpVe+Z/6tjw+84nEzmzNFkUaTAvvFRPa/NlhW+ArF0mlhm7RWSKAjcV13NZ9racC7J0xIEAYeqcrimhpFwmP904gSxdJozo6N0TU+zYw1yUuR08qXdu9fcN0WSKPd4+OKOHZwcGWFsfp7ZeJy+2dl1CU+Jy8Xh6upcK6nJ76fW52M6FkM3TbaXltJWVIS88O81eXlUejwE4nEmI5FclMZSOC0WPrd165qvKQoC+XY7n2lr4+2hId4ZGSGpaVyenl7zMRlNwV9YwzMf2YXXYyeVytB9dY4PPvkEW5rL+O/fPsH1vgAH9jUgijZefOkiTzzehqoqwJKes7D2hNYitlWW8Nl92/jbt84SS6WJJtM8397NO71DPLi5loea6theVYrDcnuC8/cKyi2qQLBg0rdAwH7c3s2bVwYwyWpnZiJxKm4jFuNeIaVpvHihh5lIVvS8vbKUT+9pw+dc/TtqVRUebq7nxPUhXrzQg26YnB8co2tsih3VZaiiwh5fC2OJGQ77t1PtyH4PbJKVQquP2XSYs3PdtHrqSBsab86cp8xWyIOFOxlPzPDK1Gma3TUEUiFOznZS7SjFLq/fNloLM4kYbtWKW11eubsWCvDm6AC/0roH5wbyfAAUVebAY61cfKeXt356AUM3uHpxmCPfeYdP/8aja05eZaes5Fya+OTwLMlEesOEZ3wwkNPKiKJAaVUBVsft5XjdCwiCQHmtn/bjWbF/aDZKMBC55+Z+HW9fIzafXdTKisQjz+xm6/76WwanxiPJdXU8F8cmOTs8hmGaWGWZz+/aRnPx7dlZvJtIaRo/7b6a0xUthSyK7Kuu2FB7KxCL88LlHkKJJE80NdBYmK3AjYbCXBybZDISIalpOFSVyjwv28pKyLevHrSc1YamGQ2FGQ6GGA6GefVatg2f1jVevdrLSCi84nEWWeL+2mpaS9e/HqY1nf65ObonZ5iJxsjoOi6rSrUvjy3FReSvM9KvGwYXxiY41jeIz27jU9tbsSkKiUyGnqlprkwHCMYTCAj47DYaiwpoKSpa1nq/XWyY8CQ0LacrEQUhN4l0KwiCgCKKWGSZpKZlhY6ZDGu5KzhUlYdra5eRnaUQBYHH6uv5fmcnVwIBZuNxTg4Ps7WkBOkuvrTFTiebCgoYm58noWkEk8l1LwSVHs+yYyCLIpUeD6dGRhCAOp8Pj/XGRd6hqrgXfo6k02s6624EbquVLUVFnBkbQzMMArH1BcLxeJrhkVnmgjHyvHZMw2RyKozFIpNKZSjIv71cobVgVWQ+u38rggDfP32JyXAEE5iej/Hs2csc7e6jpiCPw5trOdRQRbnPc9tGXD8vUCSJptJCjl0dwDQhns4QWzU37N3HQCDI+cExAGyKzMPNdfjd62unrIrMwYYqjnb3Ek2mmYnEuTgyybaqbGtg8Uxa1L2l9DSvT5/locJdOJM2LoWypn5JPQ26SVSOo5sGaUPDozjZndeMLErYJWvOQ2cRkXSKQCKGARRY7SiiRDidJGPoyIKICRTaHcQyaSySjGfhWmCYJuFUkmAqwVwyfkfHyuW185F/ej993WOM9E6RSWm8+sOzNO+sYdfhzatOQxUUeaioL6KnfRDIGhjOz8U25I2j6wbd7YOkFywbnB47lQ3Ft2V8eC/RvLOGn3zrBIZukoynuXphmB33Nd7WmP16ME2TqbE5tIXrm8trp66l/JZkxzRNhnunMNao8qQ0jfMjYwQWdDttpcXsq65Yto1uGsylYpgm5FscJPUM85kkbsWKQ3n3CWZG13n5ynXe6htcMfBgkWUssrwhwhOMJ/hO+0WGg2E8Vgs+u50fd3bzQtcVJuejxDMZdMPIWUxU5nn47I6tPL65YcV9OZJK8fsvv07H2ASxdJpo6oY+NKMbvNk3wJt9Ayv2wamqFDgcaxKejK5zeWKK73V0cnZkjFA8kbu/K5KI02Kh0uvho63NPL65gTz7yklWwzS5OD7JX71zhnKPm4M1lSQzGl8/c57zI+OEkzc0RhZZJs9mZVdlGb+0dyeb/AW3NVG9iA0THs0wcuxbXBIjsRGIgrBM75PW9exzrXKDdijKqoLhpfBYrbQVF3MlECCzkOsVS6dXTVjfKGRRJN+W/VBM0ySpaWuSMgC/Y/kNRRQEXAuvb5Fl/A7HsjKrLIq5Y5bSNIy7NJxb6lid0nV001zT0HF6Zp5jx69iscg8eH8Tmm7QfmGI4ZFZEIR7MvIKWXLrtKh88dBOmssK+d6pS5zqGyaezgrGZ6NxZqNxzg+N8Z2TF3i4uY4n2hrZUlaEches/f1Cnt2WDcbEJKMbZO6CxN4NLo1MEIpnV9Qeu5W2iuINXQzqCvOxyDJR0mR0nf6ZORLpDA6LiizKOGUb7wQuEcxE2OLOOur2RceYTYeRxOzn5VLsPFy0m85QH69PnWO3r4kSawGX5/uwiioNrkqKWN7O6wvP8s7EMNF0Go/Fys7CUo4MXiWp61gWIiQ+09hGPJPhLy6d4qN1LTxe1UA4leQb3ecXomvSG9IQ3gxBEKhrKeNDnzvA3/6HF8mkNeam53nua8eobixZtbXl9NrZeX8jVzqGME2TieFZLp/p35D2ZbR/mp72wVxLq6Qyn83bK2/xqHcPDa3llFQWMDaQ1XCcfPUyDzy9nZrNa1ezbwtmVrO0KPKWFQnLBshUeC7G5bP9a+p3IqkUlyenckTiUE0Vvpu6DOF0gu8PtNPiLWGfv4Y3J68TySTZ66+m5j0gPKok83TLZjb5Cxamw9J0TU7TF7hzc9TLk1MMB8P8w6UuDNOk2OWkyucloxuMheeZiyeYiycYCWbbfB9sblw2wCIKIiVuF8klGrIrUzOMhueRRIFGf8GqY+k2RaF8jemtjK7zZu8A/+mNtxmcC2KSvSc3+LO63lAiycR8hI5YnO6paXpn5/jywT0rPq+liGcyHL3Wx9FrfVyemMKhqlR4PVgVhXAiyVh4nvH5CC9cvsJUJMofPPEI1b7bj5rYMOFZeis1YUMjhEu3X8p41yuf+uz2HHFYC7IoUp13481ORCLMJ5O3JDzGQpxBaqFapRsGhmliANFUitSSk+JWoxjOVQRwiwRHXhBJL32fgiDkfr7ZL2I1mKZJxjBIaRoZXUczzezjFv6MptPL9nG9z6O6qmBZS0tRJJ58vI22LeW8+NIFunvGqa+9N6XhxZbPwfoqGov9tA+N8crl63QMTTAXjS+Q3axvzndPXeTNqwM8ta2JT+9tI99pf988YVaDYZqkMhppPWt1r5tZg7Ts52cSWeLVYZrLJ3ney33snZojudAiXWyhjgVXlqlvRjydXnbehOIJUpqGw6JiFVUe8O9kIhnAKduwSCofKTvMbHqeFk8tsiBhEVUeK9pLvsXLA4UeZlIhvKqLD5UeYjIRwMCkwOJdfu0wTRKallsEtU+Psd1fQpnDg1WWUUSRpK4zl0ywt7iC3UXluXNiPDZPKJXk3+w+zOnJEd4eH7qjYyZJIgefaOPCyeucOtqFaZj0tA/ysx+c5lNffhj1pkwy1SKz8/7NvPliB6N90xi6wUvfPUnzrhrKavxrCp4joTiv/OB0LspBtcjsebiZ/KL3L0g5v9jLA0/v4Ad/+RqZtMb44AzPfe0YX/jqk/gK3LcMNTVNc6G1Z2KxrWxNC6KA2+tAFAUMwyQeTRFYMBRca6IrmUjz6g/P0N89tubrJjIaQ8Fsq8ipqlT7vEwn53l7uh+LKLEjv5LLwXH65mfY7qtgODbHW1O9NHuLkUWJNyauMZmYp8aZj89ip312BI9qo81XRpl9Y7lmt4IqS3yoZTMfbDbRDZOUrvGXJ04zOBe84+d8q28IwzSozc/jMzu20lZahENV0QyD0VCY77Zf4q3+IWbjcb5z/iJ7KsuXERi7qvArB/Ysm/r949ePM97ZjVWW+WhbM0+1rPTFEwSWaUyXonN8iv9y7AQDc0HcFgtPNG3iiaZNFLmcSKJAPJ2hazJb/emanOaHFy7jsqj8s327sKvqqkWEcDLJN8+0oxsmH2xu5MOtTZS63SiSSDyd4fzoON88085IKMyFsQl+2n2VLx/ce9ut2A0THkWSchce0zRzPjYbgWEYy1o46xnm5Vmtt2xNiYKAfwlbnE+lljHYm6EZBiPhMFdmZrg+O8tgMEggHmc+lSKhaaQW/ltPTH0z1qtwLTra3ikmIxGuBAJcCwQYCAaZikYJp1LE02lSC4QtkkrlHK9vF7pucLFzhGAoxthYkD27a5kJROjsGmViMkR3zzhtrRV35cQrCAIFTjuPNNdzqKGa61OzvN7Tx9mBUa5NzJDIaOimyehcmG8eP8dgIMhvP3aQsrz3P2A2ns4wODNH7/QcAzNzjMyFCcUTWdfijEZa00gtJL7fK0fWO0Va0whEY+gL48bjwXl+5ZvPb4g4Zp1qb5zz8VQGbaGlIAgC+RYP+UsiIkptfkpty6saZfYbRNmxYB/vUxV86uqrw6SucWTgKs80bEE3DfrDc5hmNulZEgUcigXNSK56XAUhW00zcuT/lm9xVQiCgM/v5iO/eD/93eNMjc6RSmZ47blztOyqYdvBhmUBo4tVoQc/vINn//J1kok0vV2jfP0PX+STv/YwDa0Vy+IZDMNkbirMK8+e4eXvnb4R1Lm1kgee2vG+nt+qReahj+yg83QvnaezFZW3fnKBdErjyc/up35LOTbHcoG4aZokYilmp8KMDwboOttPRV0Rh5/evoIcAtS1lPH2y5dIJzPEIglO/OwSrfvq8Jd4VzxveC7Gmy+08/tGmF0AACAASURBVKO/PUY8urbZX1rTmV2Y0nRbLbhtFrpDk9Q487FKCucCQ+zxVzMUnWNnQQWiINDgLmRPQTWGaXI5OE69209ncJxaVwG6aXKoqA6bdO/FzIIgIEsCsqRiWbA/uVNEUilqfHn860cOs7uibNl9pTbfR6HTyWQkSs/UDF2T0wzMBZcRHlEQVkyuWnLVdAG7ouJbpd20FpKZDN9uv8jAbBBVkvj4ti382oE9uK3Lz5kGfz61+T5+/+XXuToT4Lvtl9hXtaBhWtWvzCSUSPLRtmb+xeGDFDgdy/hGgz8f0zT549ePk9J0Tg+N8gu7ti2TjWwEGyY8dkXJlZAN01xVdLsaFsnRIsPMVT/W2N4i39rUS7hJQ5Rcoi+6+bUD8Tg/6u7m5evX6Z2dJZ7JICzshyiKiNyoOK2Wp7IW1ruhCMDtUgVzoWrz5sAAP+zq4vLUFKGFm5EsikiCkNVWLE6XrUN2DMMkrWmoikyh383hQ43YF8rKgihkCc50tgR638FNbN5UQigcpyDfyaMPtWRXrPfgRr7ocuqwqGyrLKGtvJjRYJizA6O8eKGHzpFJEhmNREbjZ53X8Dls/Pbjh7CvMur6XiCt6XSPT/Gjc12cHxpjZDa87LwSc59BdlD/ds6XdwupjJ6r7sCCziWxceK+FNpCxfPdhCyKlLs8/GzoOk5Fwa1akEURy8KCSllo/ZqmyU8HrnB+eozroVkkUWRLfhHFdhd/fvEUAF6L9Y5vJoIo0LKrlkc+tovv/cVRdM1gamSOH3/zOFUNxeQXL6/CKKrM45/cy/hAgDdfaEfXDE4d7WJsYIa2vfXUNJXg8jpIpzKMD2VJwdULwzmjv5KqAj75qw9TVHFr8f+7CUEQKK328+lff5Tw3PMMX58klcxw7MUOrnQMUddcRklVPi6vHUEUSSXShOeizE3PMzMeYnJklmg4wad//ZE1YyC2H9rEy987xUjfNJhw9o1swvqhD7RRWu1HUkQioWym2KVTvXSe7iMZT9O8s4bp8SCBiZWiX83QSS8salVZxqooRFlwU17YxiLKqJKMdYHEqKKEVVKQBBHNNFBFmd0FlSR1Da9qw6XcmZD+vYRFknh8cwN7Kspy1dtFiIJAY2EBW0uLuTYdQDNNBmaDHKypetf2p2tymvbRcXTTpM6Xxye3bcFjW3kcFUlia1kJT29p4s/ePslcPMFLPdfZWV6GLK3+rS1xu/jktlb8TseK7ogiSdxXV803zrTnWnnTkdi7R3i8VisWWSaSTpNZiD7YKGaWbOtUVRy3GQtxJzBNk8lolD85cYJXrl8nlsmgShL1Ph+1Ph+1eXkUOZ14rFZsioJpmnz30iWOD91ZmfxuEV8wKvxGezvBRCI7UeF2U5OXR31+PiUuF16rFYeqYpNlXu3t5dmurlWJ3kwoyk9OdvPM4Ta8Thsu542Ton9ijvPD4/ziE3uWPabQ76bQv3xVnkxnV/xO273pf4uiQIXPS6nXzYH6Kl7o6Obbpy4QiMQxTJPXunt5pKWevbUVt36ye4yUpvHK5ev89Rtnsv46C9lThS4HhW4nPqeNPIcdt9WCXVWwqQoXhic4dqX//ehk5ZDWddJLdA9WRaa+8M5MAGv9eXdVmdwIFFHis41biaRT2UovAg5FZVNeQS4KYDGYOK5l2FpQgiCAQ1FxKRY+37SdaDqFIkmoooRNvnNyLMkiDz+zm0un++g83QfApVO9vPb8OT72zx5AvklX5vO7+cxXHgUR3nm5k0QsxUjfNOODAVSbgixL2cXGkogEQRCobCjiU19+hG0HG943sfLNaN1bxy//ztN8989e5eqFYbSMztToHFOjc8iylPXrEbKLJz2TzbxaCkFc28mzrMbP01+4j7//Ly/nRvhPH+2i81QfqjXb6tc1nWQiTSqRzhlDfvxLD/LT75zkjefPr3hOgRuSAAFQRJEmdzFvT/WhihKHiupQRIlS+w2iWmJzY5MUCqxOtvnKmU5GsMkKHmX1iaafRzgsKodqq1aQnUVIYlajo0jSQpfi3kRirAbDNOmZyk5jAeypLFs3F1MWRQ7VVvKt8xdIZCK0j44TTafxrkKQALaUFFHjy1vzs3EoCoVOB2PhrHFqPH37QyIbJjx+hwPbwtx+RteZmJ/f8IuML+RvQVaj411Ha5MTNK+DRVHxIiyyvELAaAI/6urix93dGGQP1ie2bOETW7ZQ7/OtOIHmUymO9vVt+D3da5wYHuab7e3MJRIoosiDtbV8cft22oqLV52IW3R4Xg2aYRCKJVdcpADSGY1QdGMVgJ6haRLpDAdaqm/jnawPQQBZEinxuvjCoZ1IoshfvXGaeDrDbDTOyetD7KmpuCdW+huFYZpcHJ7gT199h9EF8Z/LauFDWxt5YHMtm0v8+Jz2FULgrx8/x1tXB25Lz3avka063fi5LM/Nf/3cU3fUjlQkcc0ssnsJl2rBddOYuXWVS5FNVuCma6NbtawYUb8bFJVnYydG+6cJzkRIxtP87Punad1Tx+btVctXmqJAWY2fX/63T1PdUMyR755icjiArhskVmnH2J0W9jzUzIc+f4jN2yqRfo6E+bIiseO+RgpL83j1h2c59pMOZsaDmCZomo62hgOvN99J6946th1oQF4jT0y1KDz0sV0IIvzob48xPhjAMEyi8wmYTyzb1uGy8tBHd/HMLz9AQbGHvq4xjr3YsWJaS5ZuTPpmDJ20plPhyOMztcvz0J4sb8n9/dGyG9qUB0uWZ2j9zwKHqlKVt77GaGlXRDPevcGJtK4zHArn5Cl1BflYbjF9V+H14LZamJiPEE4mGQuFVyU8AlDmca9pHAvZxcNiO84wzTuqsG+Y8FR4PNmx6vksu7oaCJDW9VtOa5lA9xKfmFKXC/86rHAukbjlGzFMc1nVyK2qK0yUZuNxjly7lsug+mBjI7+5f3/WYXkNv4Lb0SXdS8TSaV66epW5hSiN1uJi/u8HH6TY6VyT7d68r4Zp8kZHL+evjWK3KFmxraZz/FI/l/omEAQ42FoDJgxNzvE3PzlFRtP5wN7N+Fx2Xjl7jdGZEE67hacPNDM3H+c7r2WdUjuuj/GpB7aR0XXe6OhlJhSlyOfiib1NeBx3Xha2KjJPb2/i+fZu+mfmyOgGw3NhkpkMtvewrRVJpPiHc5cZWyA7dlXhK4/s56M7W7Cra5slrkYo32vYFHnZsTJNsCgSvnX8L/5XxBe++iTPfOlBME1SYhJ7oYxmaMji+pc4URTZdbiJP/rOl0mntYXfCRSUrH2Tcec5ePqL97Hv0S10nR2g+/wAE8PZBHRZkcgv8lDbXEbb3noqG4pwum23FAMvxe4Hmvmzn/7L3M+Fpd53pSIhCALldYV89jcf49FP7OZKxxBXLgwxOTxHJBRnfCaMYlFo3lxKWbWf2uZSqhtLyC9y43DblumcbobdYeGxT+xly+5aLp3qo6d9kOmxIOmUhmqR8RW6s8doXx1Vm0pwuKyYpsmDH9nJlr212dHyIk/uuMmiiNtqIZxMEkulmU+9e5WMnyc4VPWufGfuJTK6vkzz57XdWm8rS1KOxGR0PSfTuBmSmF1s3cmo+e1gw4THbbFQ7/PRPT2NCfQHg4yEw9T51u9JhxKJHOGRRZGG/Pzc+PdqmI3HCadS5K8zwqYZBgPBG8r3EpdrxYRW7+wsswsEwm2x8Ehd3ZpkZ/E5Z26jTXcvMR2LMRQO51ojD9bUrEt2Fh+zVG8RS6Q5fqmfL3/kIOOBMD88donpUJTnjneyrb6M2fkYPztzlUOtNditKh8/vJXTPUOcvDzEE3s3U5TnxGaROXaxn5HpELsaK9jfXIndqvL47kYMw+TvXz3PeCBMTYmPs1dGqCnJZ2/T3Y3Y+l0O/G4H/TNzQDbgMq3p7ynhmYvFOdM/mjv+u6rLeKKt8ZYeQdFUmlvP2727sKkKfldW4GeYJvF0hrHg/LtOeCYSY3SGO4BslckuOamwV1NiLbslyXg3UFTmo6gMdFPn1Oxb/DRwjF9y/QY+9daBjRarQkV90YZfSxAEVItCWY2fsho/j31yzy23vxmptEZP/ySD43MkkhmsFhmfx0FdRQElBW7qmt+b3CdBELDaVcprCymvLeSRZ7Imrbpu8G///xeZjyX5ym99GM+StvhGyZeiylQ2FFPZUMyHPn9w3X1Y/NPltePyrjx3bYpCudfDSChMOJliYj6Cbhjv+g3y/YYqiwh3JXu+dzBNcsMRAuvrWBchQC6M1TRZVYIBizqdd/+z3PhYuiBwsKqKI9eukTEM+ubmOD0yQqXHs2bfXzcMjg0O5lpaHquVA5WV656k8XSazslJarxrr2oiqRSXp7KRArIoUuvzrRgTj2YyuYOrShKFDse6X9TJSISh4J2PD94NUgsBposoXqcCBhBKJrkeCCyrhKUXfIM8DivReAqLKpNKZ1AkicbKwmy7wm4hEk/hsluwWxXcdisTsxG6h6a41D/BwS3V2C3KjZNayI6WZnUVBtFEigq/l8aKQjZXFlFZdPs+CDcj+yW68SVQJGnj7ZilEx9L/n+7mIsllo2Yt5QV3bK1Y5gmw7Ohu9R2L0whcOcacUEQ2FTsx6Yq2ZVvIkn32DQtZUXv6oj/aGKIFyeepcHZhCwqRDMRdFPjfv8j7PUdel9ID4CISIt7K+W2Klzyuzv+fadVl1g8xTd/fJq3O/rJaNkW/mJieFNNMb/5ucPke+8+dHc9aLpB5/VxFFmiqbZolWuykPtTEO78vd6rypRdVWgo8HFycBjDNOkYneCDzY23LVr937hzZA0Fs/fZxdSEW7l0G6ZJbEFrI4vCmobC7xVu66q0q6yMmrw8rs3OktQ0nr18me2lpTT5VxpwmabJcDjMDy9fJrJQfmwpLFwzAmIR8UyG1/v7eai2dlU/HsM0eXNwkNEFDZHPZmNvefmKi7tdlnPlNs0wiKwjcEpmMrxw5QrB2xhLv5dQJQnLEtK4XrlWMwxe6+ujd3a5mZXLbqXQ6+THJ7owFjyGCrxOqkt8jM6EcNksWC0KiiwxHYryevt1BieDbKrwI4ki8VSamVCUWDKNtFBGLvA46Lg+xlsX+9ixqZxt9WVc7p9gdj6OIEB92a1Xz7fCTCTKbCTrnioKAj6HDesGcoYEWEa0F31y7gSpBbK4CIdFzR2DtTARitA7deeGYook3fBvMbkr08IdVaX4HDZiqTTxdIYT1wd5pKWe/DWiJe4VLKKVZ8o/R75aQEyL8uPxZzk28wqNrhYKLHcWSHm3EAQBr+rDq76/01Dr4cSFfl49eYXDuxt46vAWvC4b87EkvSMBREHAcY9cj9dDIpnmJ8cuU1/pp7G6kJ8TLfWasCkKraXFOFWVaDrN6aERBmeDbC0reb937R8NVEmi2OVCErITqmOhedK6jnWdAkYwnshNjVoVhWLXnWcd3gvcFuEpcTp5pqWF/3ryJPFMhq7paf7ziRN8Zd8+6vPzURbeeMYwGA6F+IvTpzk7NpZzYvx0ayuuWyTW6qbJ20ND/LCri482N99oQy2YBl6enubbFy/mSNT2khLaiotXsMwqrxeXxUIgHieSSvH20BDbFgTASw0A51MpfnLlSjY49H3S8OTb7RQ7nXQuVK2ODw3xkaYmPFZrbl8XNUanR0b4b2fPruiFqrLEx+5r5droDE6bhW0NZZT43Hz8cBvXRwNouoHbbsFlt/KFx3eRzugU5bnYXFmICSiyiKYbfOHxXVQUZvULOxrKsmGSmo4gCOxtqsTnsjMTiuKwqSiymNu3jK4jICBL4oZWdaZpktJ0jly6ytR8FMgSjY26BAuCgNd+Y3UXiMaZT6Qo8dx+LpDbalnWi56NxsloOpK6cj9M0ySZ0Xiho4fRDZj7rQWnVc3p3zK6wVhw/o4zjSp8Hg42VPH905cwgZML6e1Pbdt8S1EhZN+Tbph3JHS2iBaskg2LZKXF3cZwvJ/Z9Ax5qo/u+Yv0R3t5uOgJnHI2vmQ2NcM7s8dodDWzydWctWPQ5ukMdzCaGEYzNZyyk3rnZhqcTShidoIypkfpCl9kOD5IxkzjkBzUOBvY7NqCKqoYpsG1SA/ngifRTQ2n7OKxoqdwKTcmDw3TYCo5Qdf8BWZS0+imTr5awDbvLoqspYiCyHRygnPBU7S4tzIQ62MsMYwqqmx2b2GzawuKeHetVtM0GRibRZREPvxgK7Xl2UVDQZ4z9/eboWk6ybSGphuIAqiKjEWVl10bEsls3IDDZskRadM0SWc0EikNl92CJGW/48lUhsnAPJ3XxynxuwlFEsiSiCgK2K3qCtdz3TCJJVJktOzkoqpKWJRb24fcybHRdSNrF3LTgkMUBHaWl1Lvz+fC2ATT0Rjfbr9ITb4P189pNt/PK24UB8zbsqGQRJHGwgLy7DYCsTgdYxNEUuk1g1lN06RjbIL5hep5lc+L/33WFt4W4VEkiac2b+bS5CQ/6+1FW2hZ9c7OcrCqinqfDxMYDAY5OTzMUDiMbprYZJnPtLVxoLLylmX2So+H2XicPz11iu7paR6oqSHfbkc3DLqmp3m+p4frs7OYZCfHfmHbtlWnmIqcTvaUlzMQDJLSdf6hqwuLLHOgshKnouRG61/t7eXVvj5M06TR7+fKzMztHJJ7ApfFwoHKSt4ZGckFov7Ht9/myU2b8NlsGKZJKJHgzNgYL1y5wmQ0SnNhIVcDgWU90SKfiyLf8lwsq+rE713OqrfVr9QH7GpcOQrusFnYc5NGp7m6CFiudzBMk1e7eglEYmytLKXY4yTfaV+31TkdifFGdx9/d6KDeDrrVVJX6GNv3cY0QYsp5IsYmQtxum+Y6gLvbScj+xx2Srwuri9UbM70jzAabFmRcA5ZU8JXLl/n+2cuksysbXZ5K5TnefDarUzNR0lrGieuD/Hk1kbKvLdvvGhVZD68vZlTfSMMBoLEUmn+5tgZBAEebKrNRmCspiPJZE0Lh2ZDJNIaDzfXrfLsG4QJGTONgIBVtGKaBpPJcXrmL3Gf/+HcZnE9Rs98J/lqAZtczSSNBC9PvsBwfJBqRx2yIDOTmkYWFGoc9SgopI0UR6eO0Bu9QpW9FqtoYy4dwIya1Dk2oYpqNmBQzafW0UBPpJPL8xc47H+Mpd8GzcxwJdJJb/QqPrUARVS4FG6nP3adT1d8kXyLn6gW5XzwFNciPdlKkeJlPDFGz9h3eabsczS5W+84+X0RTrsVXTcYmQxSVeJbc1TdNE0isRTHzl3n2LleJgPzWFSZ1oYynryvmfoqf1a7ZZh87bmTDIzN8nu/9gQeZ1YjqRsGr5y8yveOnOc//NbTVJbk0Ts8zQ9+1sHA2Cxj02F+/Honx871IggCHqeVL338IK0NN6rwmqZzpnOIY2evMzIZRFFkdjZV8JGH2ygr9NxTopFKa1zuGaO6ooCC/JWVgFK3iyebNtE7M0s0nebotT6KnE5+Ydc2Cp3rSxYWJyn/NzEi11bSDIOpSPS2FlpbS4tpLPQzOzDE5ckpTgwM8aGWzSunpE2TmWiMI93XmE+lkESRRzfVrzle/17htgiPIAgUOZ18Zf9+0rrOGwMDaIbBcDjM8KVLqz5GlSQ+sWULv7Rz5y0jIyyyzJf37qV3bo5vXbjAj7q7ea67G5uioBvGssmkfJuNr+zbt2aLTBZFPtPWxoWJCa4GAgTicf705Em+feECbquVpKYxG89GHThUlS9u387mggJ+9+hRwu/xBIAoCHygoYEzY2O8fO0a8UyG73d2cuTaNXw2G7phMJdIEF/wEnqsro7Pbt3K7x49uky8/X7BNE16xqf5xtvnKXA6aCjKp8bvoyzPTZHbidNqQZUkMrrOXCzB0GyQi8MTdAxNkFgwzfParXxu/3aKPRsreYqCQEtpISVeFxOhCBnd4JtvtxNLZzhQX4XPYcNcEPGGE9nJjubSIkq8K4NSvXYrBxuq6Z3KEumeiRn+/LWTfHbfNhpL/FgVmXAiybXJAG/09PNS51WCsQRVBd471vGUeF00lxVyfWo2Nxb/Rz89xkd2NFPr9yFLIqmMTiSZIhhP4LPbaFkjc0wQBJpKC/nlw7v545feIhRPMjIX5o+OHOPY1QF2VJVSme/FripoukEkmWIyHGV4NkTf9CzXpwLsq6+8I8JjmAZpI8V4YpSO4FmKraX4LRsXAMe0KAOxXrZ5d/FI0ZMIiGimhmZmsIrZCl5CT9Afu0ajq4UPFD+NLCjopk7aTGEVbbljUGgtJt/iRzMzjCZW+mkpgspe3yH2+u7DJmWz6C6FzvPNob8ikJ7OCZzjeowyWyUfL/8cTtnFTGqKrw38GdeiPdQ7N2OR7lyHIAgCe1urOHK8i7/9h5MEgjEO7qilMM+1QiuTTGv8w9EL/OjoRfZvreHg9loisRSvn7nGtaEp/o8vPkJNWbZ1F44kCARvOG5DVhcWS6SYnJ3PjZl7nDYObq+loaqQgbE5drZUsH9rDZIoYlEkSv3LdU/DE0F+dPQCO5oq2NNaxbXBaZ57/SJpTedXP3kQu/VGxd4wTLqujDEdiBCYjVJZ7mPn1ipSaY23T/UyF4qxbUsFmxuKmQvFOHG6j0gkwaaGYrZvqeDYO9d47a0eaiv9NDWWcP/+hmXHQxRFnmrZzIWxCV7quUY0leabZ9sZnAvy9JYmtpeXkrdk5DmjG4yGw1ydDpDWdD7YvAlVXnnLW2orsXwIwYSFOJ+ln996MBcP/NKflz77TReL94OA1ebnIQoCKU3neP8gH2hqoC7ft3xfFqIub96/PLuNT2xtoWtyinAiyV+/cxarLHO4vmbZpPR4eJ5vnmnneH82SHVPRRn31Va/7/LrO1IW1vl8/N5DD7H9yhVeunaN8fl5oksSwC2yjMtiodrr5WPNzTxaX0/eOpNZhU4nrUVFlLnd7Cwt5dH6eio9Hp69fJnRcJjYggDZIkm4LBbqfD6+sH0791dXY13lBIaFm4Dfz79/9FH+5tw5LkxMEEomCSaTzCUSqJKEU1Wp8nr5TFsbj9XXE0omeaCmhr5gkMJVhMMFdjsthYWkNG3V8NBil4stRUU4VXWFmE4SBCo9HrYUFWGRpBX77Xc4+OqhQxQ6HLwxMEAgFltIt03l3KnrfD4+1NjIZ9vaUGWZx+vreXt4mOp1BN73AqZpgjENog9BWLt6YpowE4kxE4lxsnd4wRFVzrW5TNMkrekk0plllanKfA+/eN8uHmqq3bDQVhAEavw+Pr67la+/dZZYKsPUfJS/efMsz57pRJUlTLLanoyRJbW/89SDqxIem6rw1LbNdAyP0zkyiWGaHO3upX1oHJc12yJYJAqheBJRgEMN1Xxqbyv/8chbjMzdfmtLEkU+vruViyOT9E/PZRcQPf20D47jsCg5wXjGyIaSPtnaSH1R/pohq6os8URbI8mMxn978wzTkSjRZJqjXb28fW0Qm6IgSUJ2UkLXSS7YFuQCcu+AtCX1BF8f/HNERGJ6lHJbFU+WfBSbZEc3N1b9cshO6pybaA+eBgQ2u1soUAtzhATAJtmod26mM9yBKGRFyX5LEXZp/VX9zRAEAYtkI5qZJ5wJoZsamqkv5NbdcKu2iFY2u7bgkLLXALvkoNBSTEyLYHD3be+a8nx++/MP8p0j5/jey+d5/vVLbG8q55F9jWyqKsS6ENcwND7H869f4uG9m/jCh/fiddkwDJOtm8v4w799lRfe7OTLnzp0W5NKJX4PJX4Pg2OzfP1HJ2mo9PPQnk1rh/cK8NQDW3jsQBMWRWYmGCUUTXCmc5AvPL1nGeExTZNL3WNoms6+nbW88mY3HreNzp4xvG47u7dX88bxK7hcVnr7p5mPJGhrLsOX50CWReqq/HQWjLFzaxXVVaubZ+bZbfz6oX2kdZ3j/UOkNI1Xr/VxZngUn91Gnt2Oy6KS1nTm4gkiqRSRVIrWkmIea6xHlW/s62QkSiiRIK0bxNNZ/dvlySnSevbcnYxEef16P0UuZ9ZsVFFQJJFCp3NF+ndK05iYjxBPZ0hpOrF0Njz02nQgG4NiGPRMzfDK1V4cqopDVVBlCZuiUOp23XZV+m6wvbyUxsICuian6Zqc5reeO8KuilIKHA7SenaRldI1PrmtlR3lKwsK99dV80/37OBrp9vpn5vj9372Ops7/DQWFmCRJaYjMbompxgKhkhrOi3FhXzlvv0UuW7v+/pu4I4IjygIlLhcfGnXLj7W3Ezn1BRn+0fpHJxgd3MFXquVuvx8thQV4d2Aiv5Tra18qrUVgAtXRrH7ZT7b1sajdXW0T0wwGg4Tz2RwWSzU5OWxvaRk3RHz3JsTRbaVlPCfPvABLk5Oci0QIJhMYpombouFSq+XbSUl5NuyJX+XxcJ/fvLJNZ/vw01NfLhpZdAaZEneF7dv54vbt6/67w5V5V/ff/+azy0IAlVeL7/7wAM809JC5+QkgXicjK5jV1XK3G5ai4ood7tzF7iv3ncfX133CNw+TCOOaQYRxGIEYfEiaGJofYiKA1YhPIuTQnWFPgZmgrlw1MWMsrXgc9jYU1vBp/a2saem/La/DDZV4XP7tpHWNH5wppNgLBt+uagJWgrNbq47EtlUWsi/ePwQf/n6Kc4OjKEbRo68LYXTovJE2yZ++fAeXDYLbRUld0R4AFrLivg/nzzMn792ksuj2SToYDxBMJ5YsW0yo92Sk1gVmY/v3kJ1QR7fOXWBU73DxNIZkhltzfabKks0FhdwoP727QVkUWFX3j5EQeKtmdeoddRTZClZ0Nyt/pibf22T7Dxe/DT5qp8LobOcmH2DBmcTh/2PUGarRBRELJKVhwufwKfm0xE6y+nZt6l1buJ+/8NU2+s23GJKG2nOzb1DR+gsuqmjCNl2mWYuj8lRBAW7fOPiLCAgImJwZ9l1N0MSRXa1VNJcV8yFK2OcujTAyYuDvHHmOr/wod18+MFWrBaFnr5J0hmd3Vuq8Lqy1yhJEmhtKKW8u8xskgAAGFtJREFUyMuVgSkCodiKNva9RInfzfbNFTktmNthparER+f1cdKrnFOGYVJXU8im+iI6OocZGp1janqefTtrqarI50LnCOMTIZobS5gLxrjUPcbm+mIqy/PJy3PgclopLvbgz1/9PYmCQIM/n997/CG+13GJH3f2MBaeJ5hIEkwkYXb1irftJs2Rbpr81YkzPNfZvWJoYRE9UzP87ktHl722x2rhtw4f5DM72pZtOxqa53eOvMrlialluZE5mCZHeq5xpOda7leKKFJXkM8ffugxmovvTXjzRlDmcfOb9+/nj18/Tl9gjt7ALL03Jbp7bVYebli94uu0WPjCnh14bDa+de4C1wOznBwc5uTg8LLtFis/v3ZgD9tXIU7vB+5qdlQQBPwOBw/V1uLXrThm4DcOHLirHTrbNcyulkqK890UOp18oKFhxTYzsZeIpEpwW7ct+30sfR3diOGybAEk5lMdTEWfw+94kr3le9lTXkw4eYbp2EuUuj6Fy7J+Cf/c3DVSeoaD/pZ1t7sXGI3P8MpEOz7VyZNle2kpvHdfgGyS9zymMQ+ChCD6AAmMIGBgoi/8TsRIn8HQ+5AsD4JYDIIFjCCCXAXC6uRVFAQebamnuayQ4UCIq1MBRmZDTEdizMeTpDQN3TCxKjIuq4WyPDebigtoLS+muiAPj916x8xfUQQ+f2g7++sqOdU3TPfYNDPRGGnNwK7KWC0yhR4HOysqaCpd/5jurCrj3330Uc70j3C6P6uHiaczSKKI1Sqxo7yM/fVVtJYX4bVnW41feWQ/n9zTilWWqSm8vckgWZI4UF9Jhc/D2f4Rzg2OMTIXJpJM50ZA/S4HNX4f++srNzS9pkgS++oqqC/K59pkgPODY1ydnGEqHCWZ0XJuysVeF3X+fJrLCqnK9264lbhs/wWZbd7d5Kn5RLUIJ2ffot65mUp7DQthAAskYYl9gpEkYy6fmHTKLu7zP0ybdycj8UGOzbzKC+PP8vmqL+FWsi0Wh+zkQP4DbHFvYywxzFuB13lu9Lv805pfJ0/dWJRGf/QaR6dfYmfeXrZ792CTbEynJvnLvj9ZvqHw3jif2K0q+7dWs6OpnCcONfON50/xzR+fZntTOZuqCgnHklhUGZtlufmluKC3mZ6LkEzdItPwLm2irKqCc8nUmCBk0+YXuj0rIAC9/VOUFHkIzEXZ0lRGKBznev80hmkyF4yxZ0cNhm6yvbWS4bFZTrcPsGdnDZKYdQ2fmMwaoOat4seziEKngy/t381jjfW0j45zYWySweAss/F5VNGGKGYocuZRledjS0khW0tLloRmZvfTrioUu2/vvFckadnzLEIUBTw2K6We5UTN0E3CsxEsVgWbK1sVSkQSWB0WREnMmvfdJNBWJJFyjydbWHC7V616G7qRzVUUs+GgVXleUpqGd51OyiJkUeRQTRVFTzt5s3eAjrFxpqMxMrqOU1UpcDrYXOhnk3/t75VNUXimrZltZSWcHhrh7MgY4+F5NMPAbbXQUFDA3qpydpSX4neubrEgCNl9r/Z5USTplhYDkihS7HZR7fNS8j/aO7PnOs7zTj9f72dfsRysxEYQJEgQFC1RppZEsiOZkeWMs3gy8SR3GU+lKqmay7mbP2AqlZvcpGpqZio1kxpPpSYjS3askiOJUmiL5iKCBBeQBAkQO3CAs/benYsDUoRJiRRpOZLczxWqT5/T3R+6v+/td/m96dQ9YsMPwyMZPJ7vc3VunVsrW8RjGuPDrdLArZrJ+2evE4awf6SLRExjdmGD+eVNsqkYewc78fyAC9eWqDZsSsU0o7va8byAczOLuJ5PrfHg0nDbW0ES9z4McXVgOwbbuiFT+n6q9lm8oFXCLlDIGE+yZZ3EC+71Avwim04N0//0/ToehVKswGR+iFPlGcLwl/Mm+REBgXOawD0LoYWkTSKUUbzaf0Wo44T+CpL2BJI6gW+/RegvQtBANl5GyN34zs8IrB+ipv8zyPda6kIIYprKUFuewbY8z47uIghud7TeGRW/3YBTliRkSTy2i3PJqhCTVQ4P9DDZ17WjAaYArtZXmamt8K3e8QeWmkuSoDuX5luH9nJsYg9BELQ8Vb7LP9w6wzd7D5I3EncWQ1mS6Ctk6St8svT7JyFLEv2FLL35DN+c3EsQBncWEnFnrFrjdb+zrzs2F9fWWGs2SWkah0pdJLYnreJwnCcHeu6MyaZpUrEtBnJ5JNHqPL5cr9OZTu1QTG84DquNBr2ZzD3JiPcdNySO5J9lunqO4+tv8bs930WTNOJykqpbpepWyGtF3MBltnGNqvuRR8wNXCzfJKEkyWsFMmqGqrvFj5b/P07QyqXzAg/Tb5JQkmS1PGk1Q9Nv8nfz/x3Lf3gpibKzgUAwkhyjZHQTEnC+chY3ePTk88dFCIGhq4zu6uDYs/s4fvoaS2tVdve3k4rruK6P7Xg7EkvDMKRuOuiagnbbCN7+f97d0DMIQurm4+Uj3l5UH35/8P2Qn568xvhYN8OD7XR35Th+YoZ3/3mGrxzaRU9XlunLS5yZmkcIeP5oq+1DMqHzxMFdTE3fwrRcnv/qx7eDuN1Aek97GyNtRX73wDjr9iKz9XNMZF9gxZ6lw+hHl41Wo2gh7jEa/+L5r/Jnzxz5dOMB91U+7s9m+MtvHbun6sk2bX74396mrTvPkVcOIUmCmTM36B/rRo/rSIJ7Fu6+bJa//r1XCcIQWRL3pD8EQcDC1WXShRSZYopXx8f4xthuwpAHdj64jSrLjHW0MdJW+GjOvCtvR5akBz77mqKwp73ISLHAdyb33zXvtuYsVZLvqba7G1kIXh0f4+U9u1syIw9QlM7GDP7Lyy/iB+F9x+1heCSDJwhCqnULy/G4dmudWt2iqz3D8kYN2/a4Or+Oabn0lbK8ffIqpbY0564s4rg+w71Fag0b03J47Z3z5NNPcuHaErdWKgz2Fljfaj6kZH+A6c5TsU9SjH8d21tmrfE6SW2cfPx5JKEiUJHuCsG0Oo2rSEKBT/EO5wU+Fyo3OLc1iyopPF0cI6+lOVm+TM1tsmZXeKZtHC/0qbsmR4pj/Lx8BU1S6Yu38e7aFGvWFm1Glhc7Jqm5Ju+unaPqNhlJdfN0cS+apKAK5Y6qZhiGzDfX+OnGRUzfYTyzi6yW4PzWDZqeTUzRAMGLHQdJqQ8q9QsAH0SCMKgSOKeQ5SFARol/h8CbIbDeRegvIOsvEPqzyPE/QohWcqZsvETonGpNup9wlNud3CVZvm1zfqbUXIufr89yINeDJim8vzqD5bt0xjL0JwqcLM/ScB2Sis7J8nUWzS1643n8MGChuYkqyRxtG+FydZllq0JfPI8XBsw3yiiSxNPFYaari1ScJlteg1WnyvvrV1AkmeFUO9NbiziBz0CySG88z6nyDSQEk4V+rlSXWbNq7MmUGMt03VEb/bhxk7cnmU/L7Yn8xPwcLw+P4AUBju8jCYHrt3J0AkKEgE3b4tL6GkOFAgLwghDb94AQPwhobieQl02TE7fmiakqGV3HUD65BFkIQUFv47nii7y58joXKmc5lHuKnng/aTXDa4v/l4HEMA2/zqq1TEz+6C1009ng9aW/J64kSCkZ7MDiWv0yo6m9xOTWfV3zKvzDwv/BkGOk1Qxu4HC9cZXR5F4SSusN3QlsrtWvUHOrXG9cxfSanN06SUEr0ml002l00RPrRREyx9ffYr55g6pXYdlaIKN+tgKFdxOEIZbttsq7VfnOuNqOx9pmHVWRSSdaz93oQDuSJJi6usiB0S7ihkYYwo3FDW6tbLF3sJNCJo4kCWK6im17rJZr5DOtcavUTaavLt/3POTt0u+G6eD7Aaoi/1IqmYIQxse6eeqJgTvbDF3l1Zcndux3YF8PB/b17NimKDKHDvRx6MDDh1eFENh+hcu1n+GGNpoCzXCZqn+LPmUAP2xwfusEqtAZSE5Q88osm9dJKlkMOYkhJ9CkGGVnkSD0qbjrtOm9ZNQ2rtZPoUkGg8lJEneJWDarJifePEe90iRTSDF2ZJgP375IvdLg0AvjrMytU1mrYSR1Djyzh/2HhzFrFglNY/HaCovnFxjd10doefzz66exGja9u0tsLG3SqJrIisy+IyPMnL2B7wUMjvcyf2WJZs0kU0zRNdjBP/6PdygNtvP0bx+ic6D9oQ2dXxw7VZYfq2GwEAJFFo8kaSGEQJPlhz53advIfRweyeAxbZer8+t4vs/6ZgNDUym1Z+gv5Xjm0BCqKnNrZQvH9ZiaWcTzA1zPx/V8Vsp15pY3UWWZuaVNqnWLKzdWOTo5yP7dXXx4eeEhGkeGNN0b1J1p8rHnkEUcQ+klpu7C9pfglxRrv82aXeFHSz9nLNPHmlXhrZWzvFw6zMmNyzxV2MNThT0k1RinyjOs2y1v0rJZJibrqEJmySxzMDtEZyyPJilIQtBh5MioCd5dnWIiO4im7XStemHA64s/I6+lSKtx3lo5w2RuiIrbQCBwfA839Fi2yg82eIIKvv0WSuI/EDinCb0Lre1SGkQWgU7LAAwAiTBsLYKfd+KKRkLRqXs2Sc9h3a7xXPso769dpew0KGhJ2nSJi5VFNpw6A8kiZzfnSCo6nbEMMVnjjcVzmJ7DYKqdM5tzJBWDzlgGTZJ5a3kaVZI5XBhgobnFuc15wjBElWROrs/iBj4vdI7xzsplNuw6SUVnMt9P2WlwsbLI7nSJ0+WbDKXaicmfjZhcXNUYK7ZxKr3IRGcn51dXkYVEMR7n7MoyDacVHmuPJ0jpOjXH4Sez1xnM5Wi6Lifm5+mamGDTsvh/F6fpzWQZyueZq2zxgyuXSOs6x0ZG71Eyz6g5xtL7UaXWdlnIHMx+hWVriQ1nDSew6Y718Hs93+XM5ges2ssU9XaOlX6Hi9Xzd8JQCSXJQGKYW+ZNlqxbqJLGZO5JJrNfIS63XOGGHGMwuZu55ixL1gKKUBnPTHAw+5U7+j62b3O+cpa6V8MLPfoTg8w1Z7ll3sQLXTqMEqVYL692/QFT1TMsmHPktSIvdbzK+eoZUkp6+55KMJwcJX3XAicLmZ54P5KQkB7Tkm+aDt//8RkaTZvh/nbSCR3XC5i5ucqbJy7x1YMD9JVaodFdXQVeOjrGmycuoSkye4dKNEybN45fQBKCl47uwdgOd40Pl3j75Az/+4en+PqRPUiy4OTUTRbX7p9fFoup9JXyvHfmOn2lHMVt6YrhvjayqQeHRe6HENBdypLNPNr3H5U1ax5NipFTOlmz50mrRWYb5/BCFzewaXgV+uJ7kYTMXGOa4dQhEkqW+cZF/NAjVAI2nZZhqEsJUmoeN7RpejWKiR50aef1uI7H0uwqk7+5j5kzN1i9uU6xJ4/VtLn24U3WFsoMH9zF0EQ/RnJnmKatJ49tOji2i25otPcWmb+yyLnjl+joK1IrNzASOlPvXaZeaVLsznP6J+cJw5DDvzXBuXcv0j3USfdwJ3ueHKLQ9fhq979OPJLBs7ZZ5+ZSme/9/lHeOD59p+QxpqtoqtxyvwtBMq4zuquD777S6mgrSxJvHJ+mmE1weF8fU1cXkaSWsuj6VoN6w6bWtB9Y5hviU7PPoSudGEo3QsjIQkaWUg8VqvrE377r4F7gowiZittg06mhCJmuWIEOI4csJDJagoFkJ52x/B3vR7hdeuiFPkEY0htvYzzTz/XGErfMdb7eOcnp8gwVt0FRz9DwLPz7hLDswGHJKtNuZDEkjSOFVrJ0QUvjhj5FPc2atYXzMN1xhQrE8M3XIGyASLGtVdyqnkKAkAGBUHrBfhuv/jfIsWMIkcK33iTwLoH5fTC+gVBGEI+pRfK4tMZboEnydtgsJKclKOhJQkIc3yNmqMhCxgsCvNAHBBO5XpaaFXRJxZBVTM+h6TtICCZyfWzYdYp6khCoeTZtepKkoiMLCctveUD6EgVkIbFiVSjoSbywVQmW1eIkFJ0Np0HTc5CFxMFcH6r41WlP2J6HLCScwKfpOlQti1d2j9KbyXBuZYWfzF7j344fYDhfoOk4nF9tJUtrkkxC04irKnFVpTOZ4tjICD+4coWG49xj8OxOjbE7tTOBP64k+HbPHz5wv6Hk6J2/E0qS32j/rU+8ppgc57m7tHzuR0pN8/u9//4T95GExL7MBPsyO70Ng8mP8gQ7jS6+0/snOz7XZYOvdXx8McOnQZElknGdd35+lR+8ewHH81FkiY5CiucOD/Pqb+y/46FJxnX+3bEnSMV1fvLBFb7/47OoisTuXe187w+e4eCejxL9j04OsrBa4UfvT/PB1E1SCYOnDvTz7a9N8L/eOHWP1yaTjPEnrz7J375+kr/623dQZImejiz/6Y9/s2XwiFaOmXqfjuiyJFDv8k7dRpIkXnh2zy9lnD4NfuihSjqaFNvu3aQgIRGGAUklx1Byklvm5e25LkCXYmiSgSRk/NDF9BtAyO7Uk9xonGeuMc1I6jADyQMsmFeIySnajf4dxxRCYCQNJFli9sIt7GYrdCjJEpIkUSzlSGbihGFI4AcEfkAYBCiqjCRLBF7A7IV5Zqfm8D0fq2ETSxnEkgZ6QsesmVgNm3Q+SaGUZen6Krn2dOv3ZYEe19BiGrL6+Wgs+kXhkQyetlySUjHN3/3oNHFDpaczS9xQ6djOrE8mdIrZBPtHSlQbFv/ztZPIksQ3n9/H+EiJf/pghnKlSW9njlRC54WnRvnxiUvML2/SkU+RSnyyzoVAphB/kRCf1cYbdCa/jRdUsb1FHG8Ny72FofbieKvY/iph6GH7S2hyG7a3hOOvY3nz2N4Amty2Y/E2fZvr9WXc0GO2scLXOifJqSl64m0UtDQpNUZGTaAKGWk7MfM2aTXBhcpNpio3uF5fZm+6j6Zvk1YT9Cckfro+TdU1WbG2aDeyJJSPknXLdo0lq8ymU2fB3KA7VmQ42UVCjjGQ7EAgqHkmdc9sxVoRD++DEWnU5H8kDOsIEQcUkJKoye+1PlZ3o8hdIGIIuR8l+aeEoY2Q2kAoSPrzSPoRQEFIBT5NOPCzZNWqcq2+RlxuKa3m9QSyJNFhpCnFskxtzaNLKnuzJQSCVauKKmTc0OdU+QYdRppXeg5yqbLEul1DlWQyaoy40god7M2UqLgm763NkFYNDub7uLC1wIZdpzeRJ68lkETreCPpDs6W51izakzm+9mb7WbZ3CL+GXl2Pg5DVZmvbNFwHYIgbCVcb+d5SEJwuKubLctiqVbDCwI2TYu1RpO2RILJzi7Or7bUvuOqiiIkvgievi8SuqbwynP7ePaJIWzba/WqkwSGppBJGsSMnfdLPpPgO984xEtHx1qhMEkildBJJ40dIdBETOMPjz3By0fHsF0PRZbIpVul/UcODNBZ3JlMqyoyRw7sYnSgg4bpQBii6yqFTMurJkuCP/+j5wnCkGRc3/G9f/PiBC8eGaWY+2z7fT0sRaOX6cp71L1NDDnJojlD1d1grnmBdqOfBXMGgJRaoDMMuFg9QVotkFHbuVY/gyHFiSkpFswZGt4WOa1E06+wZF5tCWnK916n1bQ58dppit05ekY6+fCdi8TTMTLFFEZcQzVaoZfKeo3rU3M4pkOxJ49ru6wvlJl67xLtvQWspk0iHae9t0AqlyTwA1RDZWh/LzNnbrCxtEn3UAfZ9jSKppDryBBPxyl05Zk6fgkjrlMa+NVVeH3REb8ohPQLfC5nu6p1BkXOYSg9lM13SGn7Mb1Z6s4lwtAjpvSRjT1NxTpJ072OEBJxdYS0doBN6wSmN4ckNFLaPlL6xI48n7pr8k+rH1Jzm4xndrE/20qEnmuscXbrKl7gczA3RFesyHT1JsPJLrLb4aiGZ/HBxiUqbpOcmqQ/0YEuq3ywcQk7cBlMljiQHWTV2uJU+QpJJYYsJJ4qjjFbX+JydR7Ld+mI5XiqsAcncPlg4zJbTp2+RAd98bY7HqGEYlD3TIp6hnbj0ZNmf91wA493Vi5T1FMczD9ep/fPC47vc25lmQMdHdQdl/fmbpJQVfKxOF4QsLetjbiqstZssNZoktI1yqZJEITMlDfoz2YpJVN8uLJMTFHY297OpmkymMtzaX2N3YXiPR6eiIhfVyrrNd79+5/x1W8+QaEUhZQ+h3zsG/kX0uCJiHhUgjCk6pqokkxC+dft3BsREfHFw3N9qhs1UvkkqvZYyi4Rnw2RwRMRERERERHxpedjDZ5/3czTiIiIiIiIiIhfAQ/yx30+slMjIiIiIiIiIh6DyMMTERERERER8aUnMngiIiIiIiIivvREBk9ERERERETEl57I4ImIiIiIiIj40hMZPBERERERERFfeiKDJyIiIiIiIuJLz78A7WqcFsP2/9QAAAAASUVORK5CYII=\n","text/plain":["<Figure size 720x504 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"8SJusV8A1qG-"},"source":["## Fake News Word Cloud"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"xLDEsnjE4oc9","executionInfo":{"status":"ok","timestamp":1624013393370,"user_tz":-480,"elapsed":1622,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"a2ec5655-55fa-47c6-fd2e-8c0f1c320e64"},"source":["fake_titles = fake_df.title\n","fake_titles_ls = [text for text in fake_titles]\n","# print(alls)\n","fake_all_words = ' '.join(fake_titles)\n","wordcloud_fake = WordCloud(background_color='white',\n","    width= 800, height= 500,\n","    max_font_size = 180,\n","    collocations = False).generate(fake_all_words)\n","\n","plt.figure(figsize=(10,7))\n","plt.imshow(wordcloud_fake, interpolation='bilinear')\n","plt.axis(\"off\")\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 720x504 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"Mo5jvavcHOMo"},"source":["# Data Preprocessing"]},{"cell_type":"markdown","metadata":{"id":"bcPoTiA3tdP6"},"source":["## Data Combination"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Bl80aA_utiKz","executionInfo":{"status":"ok","timestamp":1624013393371,"user_tz":-480,"elapsed":15,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"f47fc5ef-644d-4ee7-c587-0e543595fbe6"},"source":["# Add Labels to both df\n","true_df['true'] = 1\n","fake_df['true'] = 0\n","\n","# Concat\n","df = pd.concat([true_df, fake_df])\n","display(df)"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>title</th>\n","      <th>text</th>\n","      <th>subject</th>\n","      <th>date</th>\n","      <th>true</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>As U.S. budget fight looms, Republicans flip t...</td>\n","      <td>WASHINGTON (Reuters) - The head of a conservat...</td>\n","      <td>politicsNews</td>\n","      <td>December 31, 2017</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>U.S. military to accept transgender recruits o...</td>\n","      <td>WASHINGTON (Reuters) - Transgender people will...</td>\n","      <td>politicsNews</td>\n","      <td>December 29, 2017</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Senior U.S. Republican senator: 'Let Mr. Muell...</td>\n","      <td>WASHINGTON (Reuters) - The special counsel inv...</td>\n","      <td>politicsNews</td>\n","      <td>December 31, 2017</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>FBI Russia probe helped by Australian diplomat...</td>\n","      <td>WASHINGTON (Reuters) - Trump campaign adviser ...</td>\n","      <td>politicsNews</td>\n","      <td>December 30, 2017</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Trump wants Postal Service to charge 'much mor...</td>\n","      <td>SEATTLE/WASHINGTON (Reuters) - President Donal...</td>\n","      <td>politicsNews</td>\n","      <td>December 29, 2017</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>23476</th>\n","      <td>McPain: John McCain Furious That Iran Treated ...</td>\n","      <td>21st Century Wire says As 21WIRE reported earl...</td>\n","      <td>Middle-east</td>\n","      <td>January 16, 2016</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>23477</th>\n","      <td>JUSTICE? Yahoo Settles E-mail Privacy Class-ac...</td>\n","      <td>21st Century Wire says It s a familiar theme. ...</td>\n","      <td>Middle-east</td>\n","      <td>January 16, 2016</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>23478</th>\n","      <td>Sunnistan: US and Allied ‘Safe Zone’ Plan to T...</td>\n","      <td>Patrick Henningsen  21st Century WireRemember ...</td>\n","      <td>Middle-east</td>\n","      <td>January 15, 2016</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>23479</th>\n","      <td>How to Blow $700 Million: Al Jazeera America F...</td>\n","      <td>21st Century Wire says Al Jazeera America will...</td>\n","      <td>Middle-east</td>\n","      <td>January 14, 2016</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>23480</th>\n","      <td>10 U.S. Navy Sailors Held by Iranian Military ...</td>\n","      <td>21st Century Wire says As 21WIRE predicted in ...</td>\n","      <td>Middle-east</td>\n","      <td>January 12, 2016</td>\n","      <td>0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>44898 rows × 5 columns</p>\n","</div>"],"text/plain":["                                                   title  ... true\n","0      As U.S. budget fight looms, Republicans flip t...  ...    1\n","1      U.S. military to accept transgender recruits o...  ...    1\n","2      Senior U.S. Republican senator: 'Let Mr. Muell...  ...    1\n","3      FBI Russia probe helped by Australian diplomat...  ...    1\n","4      Trump wants Postal Service to charge 'much mor...  ...    1\n","...                                                  ...  ...  ...\n","23476  McPain: John McCain Furious That Iran Treated ...  ...    0\n","23477  JUSTICE? Yahoo Settles E-mail Privacy Class-ac...  ...    0\n","23478  Sunnistan: US and Allied ‘Safe Zone’ Plan to T...  ...    0\n","23479  How to Blow $700 Million: Al Jazeera America F...  ...    0\n","23480  10 U.S. Navy Sailors Held by Iranian Military ...  ...    0\n","\n","[44898 rows x 5 columns]"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"NehMnA6k0XYN"},"source":["## Inspect Lengths of News"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"xeFTp8QUyuDY","executionInfo":{"status":"ok","timestamp":1624013393371,"user_tz":-480,"elapsed":11,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"9fd2c7ee-2b9e-40df-a054-4686120e438e"},"source":["titles = [text for text in df.title]\n","\n","max_len = 0\n","titles_len = []\n","for title in titles:\n","    titles_len.append(len(title.split()))\n","    max_len = max(len(title.split()), max_len)\n","\n","print('Number of titles:', len(titles))\n","print('Max length of the titles:', max_len)\n","print('Mean length of the titles:', np.mean(titles_len))"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Number of titles: 44898\n","Max length of the titles: 42\n","Mean length of the titles: 12.453472315025168\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"vml-vbR16I88","executionInfo":{"status":"ok","timestamp":1624013394215,"user_tz":-480,"elapsed":854,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"87faaf5d-a294-4674-a628-2e5e9fa0f0fd"},"source":["plt.figure(figsize=(20,5))\n","g = sns.countplot(x=titles_len)\n","g.set_xticklabels(g.get_xticklabels(), rotation=50)\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 1440x360 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"ry2QPtxM2kZT","executionInfo":{"status":"ok","timestamp":1624013394595,"user_tz":-480,"elapsed":387,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"699b5a71-0e2f-4de2-e851-89660f1bf5f0"},"source":["texts = [text for text in df.text]\n","\n","max_len = 0\n","texts_len = []\n","for text in texts:\n","    texts_len.append(len(text.split()))\n","    max_len = max(len(text.split()), max_len)\n","\n","# g = sns.countplot(x=texts_len)\n","print('Mean length of the texts:', np.mean(texts_len))"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Mean length of the texts: 405.28228428883244\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"SMQjq3-vKGI5"},"source":["## Purify & Shffle the DataFrame"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"5_UqiFnsKE-l","executionInfo":{"status":"ok","timestamp":1624013395185,"user_tz":-480,"elapsed":592,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"77d8cf67-4ea8-4235-d1f1-3ef0ee0511b1"},"source":["from sklearn.utils import shuffle\n","\n","# Purify\n","df = df.iloc[:,[0, -1]]\n","\n","# Shuffle\n","df = shuffle(df).reset_index(drop=True)\n","\n","display(df)"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>title</th>\n","      <th>true</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Moscow says allegations about its influencing ...</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Obama to deliver farewell address in Chicago o...</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Sean Hannity Loses His Sh*t After Getting His...</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>YMCA Camp Forces Black Children Through Slave...</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Trump sharpens 'rigged' election allegations d...</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>44893</th>\n","      <td>South Dakota House fails to override veto of t...</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>44894</th>\n","      <td>POLICE CALLED TO GRISLY MURDER SCENE: Find Dec...</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>44895</th>\n","      <td>Democrat And Media Allies Attempts To Crush Bl...</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>44896</th>\n","      <td>CHARLIE DANIELS SENDS A MESSAGE To Bruce Sprin...</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>44897</th>\n","      <td>Arizona joins rest of U.S. in adding health in...</td>\n","      <td>1</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>44898 rows × 2 columns</p>\n","</div>"],"text/plain":["                                                   title  true\n","0      Moscow says allegations about its influencing ...     1\n","1      Obama to deliver farewell address in Chicago o...     1\n","2       Sean Hannity Loses His Sh*t After Getting His...     0\n","3       YMCA Camp Forces Black Children Through Slave...     0\n","4      Trump sharpens 'rigged' election allegations d...     1\n","...                                                  ...   ...\n","44893  South Dakota House fails to override veto of t...     1\n","44894  POLICE CALLED TO GRISLY MURDER SCENE: Find Dec...     0\n","44895  Democrat And Media Allies Attempts To Crush Bl...     0\n","44896  CHARLIE DANIELS SENDS A MESSAGE To Bruce Sprin...     0\n","44897  Arizona joins rest of U.S. in adding health in...     1\n","\n","[44898 rows x 2 columns]"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"GGMQocRLjOtt"},"source":["## Split Data into Training, Validation, Test"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"RqfHJBEVjTkH","executionInfo":{"status":"ok","timestamp":1624013395186,"user_tz":-480,"elapsed":18,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"a7f51f28-bd4f-41b2-ca41-fe8d75c6cb97"},"source":["train_val_df = df.sample(frac = 0.8)\n","test_df = df.drop(train_val_df.index)\n","\n","train_df = train_val_df.sample(frac = 0.8)\n","val_df = train_val_df.drop(train_df.index)\n","\n","# Reset Index\n","train_df = train_df.reset_index(drop=True)\n","val_df = val_df.reset_index(drop=True)\n","test_df = test_df.reset_index(drop=True)\n","\n","print('trainset size:', train_df.shape)\n","print('valset size:', val_df.shape)\n","print('testset size:', test_df.shape)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["trainset size: (28734, 2)\n","valset size: (7184, 2)\n","testset size: (8980, 2)\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"xGLHuuIkKzuY"},"source":["## Data distribution imbalanced"]},{"cell_type":"code","metadata":{"id":"kqIfgrI7Kvy-","colab":{"base_uri":"https://localhost:8080/","height":142},"executionInfo":{"status":"ok","timestamp":1624013395186,"user_tz":-480,"elapsed":17,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"392c44cb-b2a9-4c36-9166-1c6156d1461f"},"source":["train_imbalanced = 1/10\n","val_imbalanced = 1/10\n","test_imbalanced = 1/10\n","\n","train_true = train_df[train_df['true'] == 1]\n","train_fake = train_df[train_df['true'] == 0]\n","train_fake = train_fake.iloc[:round(len(train_fake)*train_imbalanced),:]\n","train_true_len = len(train_true)\n","train_fake_len = len(train_fake)\n","train_df = pd.concat([train_true, train_fake])\n","train_df = shuffle(train_df).reset_index(drop=True)\n","\n","val_true = val_df[val_df['true'] == 1]\n","val_fake = val_df[val_df['true'] == 0]\n","val_fake = val_fake.iloc[:round(len(val_fake)*val_imbalanced),:]\n","val_true_len = len(val_true)\n","val_fake_len = len(val_fake)\n","val_df = pd.concat([val_true, val_fake])\n","val_df = shuffle(val_df).reset_index(drop=True)\n","\n","test_true = test_df[test_df['true'] == 1]\n","test_fake = test_df[test_df['true'] == 0]\n","test_fake = test_fake.iloc[:round(len(test_fake)*test_imbalanced),:]\n","test_true_len = len(test_true)\n","test_fake_len = len(test_fake)\n","test_df = pd.concat([test_true, test_fake])\n","test_df = shuffle(test_df).reset_index(drop=True)\n","\n","len_df = pd.DataFrame({'ind': ['Train', 'Validation', 'Test'], 'True': [train_true_len, val_true_len, test_true_len], 'Fake': [train_fake_len, val_fake_len, test_fake_len]})\n","len_df.set_index('ind', inplace=True)\n","len_df.index.name = None\n","\n","len_df"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>True</th>\n","      <th>Fake</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>Train</th>\n","      <td>13726</td>\n","      <td>1501</td>\n","    </tr>\n","    <tr>\n","      <th>Validation</th>\n","      <td>3425</td>\n","      <td>376</td>\n","    </tr>\n","    <tr>\n","      <th>Test</th>\n","      <td>4266</td>\n","      <td>471</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["             True  Fake\n","Train       13726  1501\n","Validation   3425   376\n","Test         4266   471"]},"metadata":{"tags":[]},"execution_count":15}]},{"cell_type":"markdown","metadata":{"id":"GZCwul6ZhM1F"},"source":["## Dataframe to csv"]},{"cell_type":"code","metadata":{"id":"5dNUxG_QjmbM"},"source":["train_df.to_csv('train.tsv', sep='\\t', index=False)\n","val_df.to_csv('val.tsv', sep='\\t', index=False)\n","test_df.to_csv('test.tsv', sep='\\t', index=False)"],"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"T8aYhxfUErP-"},"source":["## Concatenate all dataframe"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"kbsft39OD1Ny","executionInfo":{"status":"ok","timestamp":1624013395187,"user_tz":-480,"elapsed":16,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"bf68bde1-0432-47fe-aaa6-a708cdf271e0"},"source":["df = pd.concat([train_df, val_df, test_df])\n","df"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>title</th>\n","      <th>true</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Trump tightens grip on U.S. Republican nomination</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Putin: Russia reserves right to cut further U....</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>BUSTED! STATE OFFICIALS Bust Voter Fraudsters ...</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Pentagon says fourth U.S. soldier killed in Ni...</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Lebanon's Hariri signals may withdraw resignat...</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>4732</th>\n","      <td>Senate confirms two FERC commissioners, restor...</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>4733</th>\n","      <td>CNN’s Don Lemon Tries to Downplay Horrific ‘An...</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>4734</th>\n","      <td>More than 20 Islamic State militants killed in...</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>4735</th>\n","      <td>Trapped by landmines and a creek, Rohingya lan...</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>4736</th>\n","      <td>NATO head says all states must comply with Nor...</td>\n","      <td>1</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>23765 rows × 2 columns</p>\n","</div>"],"text/plain":["                                                  title  true\n","0     Trump tightens grip on U.S. Republican nomination     1\n","1     Putin: Russia reserves right to cut further U....     1\n","2     BUSTED! STATE OFFICIALS Bust Voter Fraudsters ...     0\n","3     Pentagon says fourth U.S. soldier killed in Ni...     1\n","4     Lebanon's Hariri signals may withdraw resignat...     1\n","...                                                 ...   ...\n","4732  Senate confirms two FERC commissioners, restor...     1\n","4733  CNN’s Don Lemon Tries to Downplay Horrific ‘An...     0\n","4734  More than 20 Islamic State militants killed in...     1\n","4735  Trapped by landmines and a creek, Rohingya lan...     1\n","4736  NATO head says all states must comply with Nor...     1\n","\n","[23765 rows x 2 columns]"]},"metadata":{"tags":[]},"execution_count":17}]},{"cell_type":"markdown","metadata":{"id":"GH0MVDwqU_Bh"},"source":["## Performing Data Cleaning"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"kPLu2ZvfU6VA","executionInfo":{"status":"ok","timestamp":1624013395657,"user_tz":-480,"elapsed":486,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"c18e5ae9-f2d0-4e3b-f1ee-b514faf04e9f"},"source":["import nltk\n","# Downloading Stopwords\n","nltk.download(\"stopwords\")"],"execution_count":null,"outputs":[{"output_type":"stream","text":["[nltk_data] Downloading package stopwords to /root/nltk_data...\n","[nltk_data]   Package stopwords is already up-to-date!\n"],"name":"stdout"},{"output_type":"execute_result","data":{"text/plain":["True"]},"metadata":{"tags":[]},"execution_count":18}]},{"cell_type":"code","metadata":{"id":"ru9_6M-XU3-8"},"source":["# Obtaining Additional Stopwords From nltk\n","from nltk.corpus import stopwords\n","stop_words = stopwords.words('english')\n","stop_words.extend(['from', 'subject', 're', 'edu', 'use'])"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"cuX-0s3mU1rm"},"source":["# Removing Stopwords And Remove Words With 2 Or Less Characters\n","def preprocess(text):\n","    result = []\n","    for token in gensim.utils.simple_preprocess(text):\n","        if token not in gensim.parsing.preprocessing.STOPWORDS and len(token) > 3 and token not in stop_words:\n","            result.append(token)\n","            \n","    return result"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"yFU3Q3KEUzeA"},"source":["import gensim\n","\n","# Applying The Function To The Dataframe\n","df['clean'] = df['title'].apply(preprocess)"],"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"E7eeTrAjFc8Y"},"source":["## Obtaining The Total Words Present In The Dataset"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"lzI_0g3RFWmk","executionInfo":{"status":"ok","timestamp":1624013397083,"user_tz":-480,"elapsed":9,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"2c3c49f2-ab32-4cf0-d69e-3f80584f2983"},"source":["list_of_words = []\n","for i in df.clean:\n","    for j in i:\n","        list_of_words.append(j)\n","\n","total_words = len(list(set(list_of_words)))\n","total_words"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["14117"]},"metadata":{"tags":[]},"execution_count":22}]},{"cell_type":"markdown","metadata":{"id":"7aPGNCBzEt4n"},"source":["## Preparing The Data By Performing Tokenization And Padding"]},{"cell_type":"code","metadata":{"id":"cjDq60T_E1ME"},"source":["from nltk import word_tokenize"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"T7S1V_-pIe-I"},"source":["from tensorflow.keras.preprocessing.text import one_hot, Tokenizer\n","\n","# Creating A Tokenizer To Tokenize The Words And Create Sequences Of Tokenized Words\n","tokenizer = Tokenizer(num_words = total_words)\n","tokenizer.fit_on_texts(train_df['title'])\n","\n","train_sequences = tokenizer.texts_to_sequences(train_df['title'])\n","val_sequences = tokenizer.texts_to_sequences(val_df['title'])\n","test_sequences = tokenizer.texts_to_sequences(test_df['title'])"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"8Nu_NxaALTMM"},"source":["from tensorflow.keras.preprocessing.sequence import pad_sequences\n","\n","# Adding Padding\n","padded_train = pad_sequences(train_sequences,maxlen = 42, padding = 'post', truncating = 'post')\n","padded_val = pad_sequences(val_sequences,maxlen = 42, padding = 'post', truncating = 'post')\n","padded_test = pad_sequences(test_sequences,maxlen = 42, padding = 'post', truncating = 'post')"],"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"FB98lcaHD2YT"},"source":["# LSTM"]},{"cell_type":"markdown","metadata":{"id":"xB9GR1q_MGWZ"},"source":["## Building And Training LSTM Model"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"WY35--p5MIHX","executionInfo":{"status":"ok","timestamp":1624013400826,"user_tz":-480,"elapsed":1337,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"58a9690d-5173-4174-bf08-90e82ee5b587"},"source":["from tensorflow.keras.models import Sequential\n","from tensorflow.keras.layers import Dense, Flatten, Embedding, Input, LSTM, Conv1D, MaxPool1D, Bidirectional, Dropout, BatchNormalization\n","\n","## Creating model Using LSTM\n","embedding_vector_features=40\n","model=Sequential()\n","model.add(Embedding(total_words,embedding_vector_features,input_length=20))\n","model.add(Dropout(0.3))\n","model.add(LSTM(100))\n","model.add(Dropout(0.3))\n","model.add(Dense(1,activation='sigmoid'))\n","model.compile(loss='binary_crossentropy',optimizer='adam',metrics=['accuracy'])\n","print(model.summary())"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Model: \"sequential\"\n","_________________________________________________________________\n","Layer (type)                 Output Shape              Param #   \n","=================================================================\n","embedding (Embedding)        (None, 20, 40)            564680    \n","_________________________________________________________________\n","dropout (Dropout)            (None, 20, 40)            0         \n","_________________________________________________________________\n","lstm (LSTM)                  (None, 100)               56400     \n","_________________________________________________________________\n","dropout_1 (Dropout)          (None, 100)               0         \n","_________________________________________________________________\n","dense (Dense)                (None, 1)                 101       \n","=================================================================\n","Total params: 621,181\n","Trainable params: 621,181\n","Non-trainable params: 0\n","_________________________________________________________________\n","None\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"yVrvDwonMROc","executionInfo":{"status":"ok","timestamp":1624013422992,"user_tz":-480,"elapsed":22174,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"b323a3dc-261e-463d-94df-2791fd995574"},"source":["y_train = np.asarray(train_df['true'])\n","y_val = np.asarray(val_df['true'])\n","\n","# Training the model\n","model.fit(padded_train, y_train, batch_size = 64, validation_data=(padded_val, y_val), epochs = 3)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Epoch 1/3\n","WARNING:tensorflow:Model was constructed with shape (None, 20) for input KerasTensor(type_spec=TensorSpec(shape=(None, 20), dtype=tf.float32, name='embedding_input'), name='embedding_input', description=\"created by layer 'embedding_input'\"), but it was called on an input with incompatible shape (None, 42).\n","WARNING:tensorflow:Model was constructed with shape (None, 20) for input KerasTensor(type_spec=TensorSpec(shape=(None, 20), dtype=tf.float32, name='embedding_input'), name='embedding_input', description=\"created by layer 'embedding_input'\"), but it was called on an input with incompatible shape (None, 42).\n","236/238 [============================>.] - ETA: 0s - loss: 0.1661 - accuracy: 0.9483WARNING:tensorflow:Model was constructed with shape (None, 20) for input KerasTensor(type_spec=TensorSpec(shape=(None, 20), dtype=tf.float32, name='embedding_input'), name='embedding_input', description=\"created by layer 'embedding_input'\"), but it was called on an input with incompatible shape (None, 42).\n","238/238 [==============================] - 6s 14ms/step - loss: 0.1652 - accuracy: 0.9485 - val_loss: 0.0792 - val_accuracy: 0.9726\n","Epoch 2/3\n","238/238 [==============================] - 3s 12ms/step - loss: 0.0439 - accuracy: 0.9873 - val_loss: 0.0917 - val_accuracy: 0.9732\n","Epoch 3/3\n","238/238 [==============================] - 3s 12ms/step - loss: 0.0166 - accuracy: 0.9959 - val_loss: 0.1134 - val_accuracy: 0.9761\n"],"name":"stdout"},{"output_type":"execute_result","data":{"text/plain":["<tensorflow.python.keras.callbacks.History at 0x7fe49006a490>"]},"metadata":{"tags":[]},"execution_count":27}]},{"cell_type":"markdown","metadata":{"id":"G0pGfIeLMrGA"},"source":["## Assessing Trained Model Performance"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":615},"id":"ekYcyjswMsJo","executionInfo":{"status":"ok","timestamp":1624013424139,"user_tz":-480,"elapsed":1155,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"9f87d98e-f1d9-407b-9296-0659eb09a1ee"},"source":["# Making prediction\n","prediction = model.predict_classes(padded_test)\n","\n","# Getting The Accuracy\n","from sklearn.metrics import accuracy_score\n","y_test = np.asarray(test_df['true'])\n","\n","accuracy = accuracy_score(list(y_test), prediction)\n","\n","print(\"LSTM Model Accuracy : \", accuracy)\n","\n","\n","# Getting The Confusion Matrix\n","from sklearn.metrics import confusion_matrix\n","cm = confusion_matrix(list(y_test), prediction)\n","plt.figure(figsize = (6, 6))\n","sns.heatmap(cm, annot = True)\n","\n","from sklearn.metrics import classification_report\n","print(classification_report(y_test, prediction))"],"execution_count":null,"outputs":[{"output_type":"stream","text":["WARNING:tensorflow:Model was constructed with shape (None, 20) for input KerasTensor(type_spec=TensorSpec(shape=(None, 20), dtype=tf.float32, name='embedding_input'), name='embedding_input', description=\"created by layer 'embedding_input'\"), but it was called on an input with incompatible shape (None, 42).\n"],"name":"stdout"},{"output_type":"stream","text":["/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/sequential.py:455: UserWarning: `model.predict_classes()` is deprecated and will be removed after 2021-01-01. Please use instead:* `np.argmax(model.predict(x), axis=-1)`,   if your model does multi-class classification   (e.g. if it uses a `softmax` last-layer activation).* `(model.predict(x) > 0.5).astype(\"int32\")`,   if your model does binary classification   (e.g. if it uses a `sigmoid` last-layer activation).\n","  warnings.warn('`model.predict_classes()` is deprecated and '\n"],"name":"stderr"},{"output_type":"stream","text":["LSTM Model Accuracy :  0.978045176271902\n","              precision    recall  f1-score   support\n","\n","           0       0.91      0.86      0.89       471\n","           1       0.98      0.99      0.99      4266\n","\n","    accuracy                           0.98      4737\n","   macro avg       0.95      0.93      0.94      4737\n","weighted avg       0.98      0.98      0.98      4737\n","\n"],"name":"stdout"},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x432 with 2 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"RcZFLuY5b6iD"},"source":["# Bidirectional LSTM"]},{"cell_type":"markdown","metadata":{"id":"GKG2yRxmb9qL"},"source":["## Building And Training Bidirectional LSTM Model"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Kjw-5pSmcEes","executionInfo":{"status":"ok","timestamp":1624013424821,"user_tz":-480,"elapsed":687,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"303f5a67-095e-4c0a-b72f-fd92da72dc6b"},"source":["## Creating model Using LSTM\n","embedding_vector_features=40\n","model=Sequential()\n","model.add(Embedding(total_words,embedding_vector_features,input_length=20))\n","model.add(Dropout(0.3))\n","model.add(Bidirectional(LSTM(100)))\n","model.add(Dropout(0.3))\n","model.add(Dense(1,activation='sigmoid'))\n","model.compile(loss='binary_crossentropy',optimizer='adam',metrics=['accuracy'])\n","print(model.summary())"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Model: \"sequential_1\"\n","_________________________________________________________________\n","Layer (type)                 Output Shape              Param #   \n","=================================================================\n","embedding_1 (Embedding)      (None, 20, 40)            564680    \n","_________________________________________________________________\n","dropout_2 (Dropout)          (None, 20, 40)            0         \n","_________________________________________________________________\n","bidirectional (Bidirectional (None, 200)               112800    \n","_________________________________________________________________\n","dropout_3 (Dropout)          (None, 200)               0         \n","_________________________________________________________________\n","dense_1 (Dense)              (None, 1)                 201       \n","=================================================================\n","Total params: 677,681\n","Trainable params: 677,681\n","Non-trainable params: 0\n","_________________________________________________________________\n","None\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"JR0d3yZrcJXn","executionInfo":{"status":"ok","timestamp":1624013438771,"user_tz":-480,"elapsed":13957,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"de96ee94-5e28-453c-a6ab-c7c4b4773dca"},"source":["y_train = np.asarray(train_df['true'])\n","y_val = np.asarray(val_df['true'])\n","\n","# Training the model\n","model.fit(padded_train, y_train, batch_size = 64, validation_data=(padded_val, y_val), epochs = 3)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Epoch 1/3\n","WARNING:tensorflow:Model was constructed with shape (None, 20) for input KerasTensor(type_spec=TensorSpec(shape=(None, 20), dtype=tf.float32, name='embedding_1_input'), name='embedding_1_input', description=\"created by layer 'embedding_1_input'\"), but it was called on an input with incompatible shape (None, 42).\n","WARNING:tensorflow:Model was constructed with shape (None, 20) for input KerasTensor(type_spec=TensorSpec(shape=(None, 20), dtype=tf.float32, name='embedding_1_input'), name='embedding_1_input', description=\"created by layer 'embedding_1_input'\"), but it was called on an input with incompatible shape (None, 42).\n","235/238 [============================>.] - ETA: 0s - loss: 0.1662 - accuracy: 0.9486WARNING:tensorflow:Model was constructed with shape (None, 20) for input KerasTensor(type_spec=TensorSpec(shape=(None, 20), dtype=tf.float32, name='embedding_1_input'), name='embedding_1_input', description=\"created by layer 'embedding_1_input'\"), but it was called on an input with incompatible shape (None, 42).\n","238/238 [==============================] - 7s 18ms/step - loss: 0.1651 - accuracy: 0.9488 - val_loss: 0.0750 - val_accuracy: 0.9758\n","Epoch 2/3\n","238/238 [==============================] - 4s 15ms/step - loss: 0.0393 - accuracy: 0.9875 - val_loss: 0.0841 - val_accuracy: 0.9774\n","Epoch 3/3\n","238/238 [==============================] - 4s 15ms/step - loss: 0.0128 - accuracy: 0.9964 - val_loss: 0.0793 - val_accuracy: 0.9795\n"],"name":"stdout"},{"output_type":"execute_result","data":{"text/plain":["<tensorflow.python.keras.callbacks.History at 0x7fe4900ba7d0>"]},"metadata":{"tags":[]},"execution_count":30}]},{"cell_type":"markdown","metadata":{"id":"sDua1iJhcQ4F"},"source":["## Assessing Trained Model Performance"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":615},"id":"zByQYmiGcSwv","executionInfo":{"status":"ok","timestamp":1624013440609,"user_tz":-480,"elapsed":1857,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"6763e510-bf29-4361-a0e3-5cede8093917"},"source":["# Making prediction\n","prediction = model.predict_classes(padded_test)\n","\n","# Getting The Accuracy\n","y_test = np.asarray(test_df['true'])\n","\n","accuracy = accuracy_score(list(y_test), prediction)\n","\n","print(\"Bidirectional LSTM Model Accuracy : \", accuracy)\n","\n","\n","# Getting The Confusion Matrix\n","cm = confusion_matrix(list(y_test), prediction)\n","plt.figure(figsize = (6, 6))\n","sns.heatmap(cm, annot = True)\n","\n","print(classification_report(y_test, prediction))"],"execution_count":null,"outputs":[{"output_type":"stream","text":["WARNING:tensorflow:Model was constructed with shape (None, 20) for input KerasTensor(type_spec=TensorSpec(shape=(None, 20), dtype=tf.float32, name='embedding_1_input'), name='embedding_1_input', description=\"created by layer 'embedding_1_input'\"), but it was called on an input with incompatible shape (None, 42).\n"],"name":"stdout"},{"output_type":"stream","text":["/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/sequential.py:455: UserWarning: `model.predict_classes()` is deprecated and will be removed after 2021-01-01. Please use instead:* `np.argmax(model.predict(x), axis=-1)`,   if your model does multi-class classification   (e.g. if it uses a `softmax` last-layer activation).* `(model.predict(x) > 0.5).astype(\"int32\")`,   if your model does binary classification   (e.g. if it uses a `sigmoid` last-layer activation).\n","  warnings.warn('`model.predict_classes()` is deprecated and '\n"],"name":"stderr"},{"output_type":"stream","text":["Bidirectional LSTM Model Accuracy :  0.9799451129406798\n","              precision    recall  f1-score   support\n","\n","           0       0.94      0.86      0.89       471\n","           1       0.98      0.99      0.99      4266\n","\n","    accuracy                           0.98      4737\n","   macro avg       0.96      0.93      0.94      4737\n","weighted avg       0.98      0.98      0.98      4737\n","\n"],"name":"stdout"},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x432 with 2 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"wZdDqZEBO1fm"},"source":["# CNN-BiLSTM"]},{"cell_type":"markdown","metadata":{"id":"1K_V-k0ZO41g"},"source":["## Building And Training CNN Model"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"AoF6cm7NO31e","executionInfo":{"status":"ok","timestamp":1624013441037,"user_tz":-480,"elapsed":434,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"7133c3ec-513e-4d40-8a6d-797ff3c42760"},"source":["## Creating model Using CNN\n","embedding_vector_features=40\n","model=Sequential()\n","model.add(Embedding(total_words,embedding_vector_features,input_length=20))\n","\n","model.add(Dropout(0.3))\n","\n","model.add(Conv1D(32, 5, activation='relu'))\n","model.add(MaxPool1D())\n","\n","model.add(Conv1D(32, 5, activation='relu'))\n","model.add(MaxPool1D())\n","\n","model.add(Bidirectional(LSTM(100)))\n","model.add(Dropout(0.3))\n","\n","model.add(Dense(1,activation='sigmoid'))\n","model.compile(loss='binary_crossentropy',optimizer='adam',metrics=['accuracy'])\n","print(model.summary())"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Model: \"sequential_2\"\n","_________________________________________________________________\n","Layer (type)                 Output Shape              Param #   \n","=================================================================\n","embedding_2 (Embedding)      (None, 20, 40)            564680    \n","_________________________________________________________________\n","dropout_4 (Dropout)          (None, 20, 40)            0         \n","_________________________________________________________________\n","conv1d (Conv1D)              (None, 16, 32)            6432      \n","_________________________________________________________________\n","max_pooling1d (MaxPooling1D) (None, 8, 32)             0         \n","_________________________________________________________________\n","conv1d_1 (Conv1D)            (None, 4, 32)             5152      \n","_________________________________________________________________\n","max_pooling1d_1 (MaxPooling1 (None, 2, 32)             0         \n","_________________________________________________________________\n","bidirectional_1 (Bidirection (None, 200)               106400    \n","_________________________________________________________________\n","dropout_5 (Dropout)          (None, 200)               0         \n","_________________________________________________________________\n","dense_2 (Dense)              (None, 1)                 201       \n","=================================================================\n","Total params: 682,865\n","Trainable params: 682,865\n","Non-trainable params: 0\n","_________________________________________________________________\n","None\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"oYAzCt8tWnDj","executionInfo":{"status":"ok","timestamp":1624013459671,"user_tz":-480,"elapsed":18639,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"a53a67b3-0b9f-40a1-9fee-e90bd5ac4ec9"},"source":["y_train = np.asarray(train_df['true'])\n","y_val = np.asarray(val_df['true'])\n","\n","# Training the model\n","model.fit(padded_train, y_train, batch_size = 64, validation_data=(padded_val, y_val), epochs = 3)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Epoch 1/3\n","WARNING:tensorflow:Model was constructed with shape (None, 20) for input KerasTensor(type_spec=TensorSpec(shape=(None, 20), dtype=tf.float32, name='embedding_2_input'), name='embedding_2_input', description=\"created by layer 'embedding_2_input'\"), but it was called on an input with incompatible shape (None, 42).\n","WARNING:tensorflow:Model was constructed with shape (None, 20) for input KerasTensor(type_spec=TensorSpec(shape=(None, 20), dtype=tf.float32, name='embedding_2_input'), name='embedding_2_input', description=\"created by layer 'embedding_2_input'\"), but it was called on an input with incompatible shape (None, 42).\n","238/238 [==============================] - ETA: 0s - loss: 0.1649 - accuracy: 0.9478WARNING:tensorflow:Model was constructed with shape (None, 20) for input KerasTensor(type_spec=TensorSpec(shape=(None, 20), dtype=tf.float32, name='embedding_2_input'), name='embedding_2_input', description=\"created by layer 'embedding_2_input'\"), but it was called on an input with incompatible shape (None, 42).\n","238/238 [==============================] - 13s 16ms/step - loss: 0.1649 - accuracy: 0.9478 - val_loss: 0.0909 - val_accuracy: 0.9737\n","Epoch 2/3\n","238/238 [==============================] - 3s 13ms/step - loss: 0.0351 - accuracy: 0.9890 - val_loss: 0.0783 - val_accuracy: 0.9792\n","Epoch 3/3\n","238/238 [==============================] - 3s 13ms/step - loss: 0.0102 - accuracy: 0.9973 - val_loss: 0.0812 - val_accuracy: 0.9784\n"],"name":"stdout"},{"output_type":"execute_result","data":{"text/plain":["<tensorflow.python.keras.callbacks.History at 0x7fe448650e50>"]},"metadata":{"tags":[]},"execution_count":33}]},{"cell_type":"markdown","metadata":{"id":"eNf62muXO4bS"},"source":["## Assessing Trained Model Performance"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":615},"id":"i5OJzwwfO4Gy","executionInfo":{"status":"ok","timestamp":1624013461130,"user_tz":-480,"elapsed":1479,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"b48b909c-a095-412a-8909-0b5d1d7342c9"},"source":["# Making prediction\n","prediction = model.predict_classes(padded_test)\n","\n","# Getting The Accuracy\n","y_test = np.asarray(test_df['true'])\n","\n","accuracy = accuracy_score(list(y_test), prediction)\n","\n","print(\"CNN Model Accuracy : \", accuracy)\n","\n","\n","# Getting The Confusion Matrix\n","cm = confusion_matrix(list(y_test), prediction)\n","plt.figure(figsize = (6, 6))\n","sns.heatmap(cm, annot = True)\n","\n","print(classification_report(y_test, prediction))"],"execution_count":null,"outputs":[{"output_type":"stream","text":["WARNING:tensorflow:Model was constructed with shape (None, 20) for input KerasTensor(type_spec=TensorSpec(shape=(None, 20), dtype=tf.float32, name='embedding_2_input'), name='embedding_2_input', description=\"created by layer 'embedding_2_input'\"), but it was called on an input with incompatible shape (None, 42).\n"],"name":"stdout"},{"output_type":"stream","text":["/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/sequential.py:455: UserWarning: `model.predict_classes()` is deprecated and will be removed after 2021-01-01. Please use instead:* `np.argmax(model.predict(x), axis=-1)`,   if your model does multi-class classification   (e.g. if it uses a `softmax` last-layer activation).* `(model.predict(x) > 0.5).astype(\"int32\")`,   if your model does binary classification   (e.g. if it uses a `sigmoid` last-layer activation).\n","  warnings.warn('`model.predict_classes()` is deprecated and '\n"],"name":"stderr"},{"output_type":"stream","text":["CNN Model Accuracy :  0.9791006966434452\n","              precision    recall  f1-score   support\n","\n","           0       0.96      0.83      0.89       471\n","           1       0.98      1.00      0.99      4266\n","\n","    accuracy                           0.98      4737\n","   macro avg       0.97      0.91      0.94      4737\n","weighted avg       0.98      0.98      0.98      4737\n","\n"],"name":"stdout"},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x432 with 2 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"HO9HZSDcI8Rl"},"source":["# BERT"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"3DdtUeEUJCNk","executionInfo":{"status":"ok","timestamp":1624013464262,"user_tz":-480,"elapsed":3138,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"9b3674b5-a430-4598-f8bc-2b5fdf6016e8"},"source":["!pip install transformers\n","\n","import torch\n","from transformers import BertTokenizer"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Requirement already satisfied: transformers in /usr/local/lib/python3.7/dist-packages (4.7.0)\n","Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from transformers) (2.23.0)\n","Requirement already satisfied: tokenizers<0.11,>=0.10.1 in /usr/local/lib/python3.7/dist-packages (from transformers) (0.10.3)\n","Requirement already satisfied: huggingface-hub==0.0.8 in /usr/local/lib/python3.7/dist-packages (from transformers) (0.0.8)\n","Requirement already satisfied: packaging in /usr/local/lib/python3.7/dist-packages (from transformers) (20.9)\n","Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.7/dist-packages (from transformers) (4.41.1)\n","Requirement already satisfied: sacremoses in /usr/local/lib/python3.7/dist-packages (from transformers) (0.0.45)\n","Requirement already satisfied: filelock in /usr/local/lib/python3.7/dist-packages (from transformers) (3.0.12)\n","Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.7/dist-packages (from transformers) (2019.12.20)\n","Requirement already satisfied: importlib-metadata; python_version < \"3.8\" in /usr/local/lib/python3.7/dist-packages (from transformers) (4.5.0)\n","Requirement already satisfied: pyyaml in /usr/local/lib/python3.7/dist-packages (from transformers) (3.13)\n","Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.7/dist-packages (from transformers) (1.19.5)\n","Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->transformers) (3.0.4)\n","Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->transformers) (2021.5.30)\n","Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->transformers) (2.10)\n","Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->transformers) (1.24.3)\n","Requirement already satisfied: pyparsing>=2.0.2 in /usr/local/lib/python3.7/dist-packages (from packaging->transformers) (2.4.7)\n","Requirement already satisfied: joblib in /usr/local/lib/python3.7/dist-packages (from sacremoses->transformers) (1.0.1)\n","Requirement already satisfied: click in /usr/local/lib/python3.7/dist-packages (from sacremoses->transformers) (7.1.2)\n","Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from sacremoses->transformers) (1.15.0)\n","Requirement already satisfied: typing-extensions>=3.6.4; python_version < \"3.8\" in /usr/local/lib/python3.7/dist-packages (from importlib-metadata; python_version < \"3.8\"->transformers) (3.7.4.3)\n","Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata; python_version < \"3.8\"->transformers) (3.4.1)\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"3QHv7lzHJ2gd"},"source":["PRETRAINED_MODEL_NAME = 'bert-base-uncased'\n","tokenizer = BertTokenizer.from_pretrained(PRETRAINED_MODEL_NAME)"],"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"ZJaw0VtDGPzi"},"source":["## Load Dataset Class"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"F61NjFmGcJDd","executionInfo":{"status":"ok","timestamp":1624013465742,"user_tz":-480,"elapsed":17,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"2c129644-505a-43ef-ee21-259790548edb"},"source":["from torch.utils.data import Dataset\n","\n","class FakeNewsDataset(Dataset):\n","    def __init__(self, mode, tokenizer):\n","        assert mode in ['train', 'val', 'test']\n","        self.mode = mode\n","        self.df = pd.read_csv(mode + '.tsv', sep='\\t').fillna(\"\")\n","        self.len = len(self.df)\n","        self.tokenizer = tokenizer  # BERT tokenizer\n","    \n","    # 定義回傳一筆訓練 / 測試數據的函式\n","    def __getitem__(self, idx):\n","        if self.mode == 'test':\n","            statement, label = self.df.iloc[idx, :].values\n","            label_tensor = torch.tensor(label)\n","        else:\n","            statement, label = self.df.iloc[idx, :].values\n","            label_tensor = torch.tensor(label)\n","            \n","        # 建立第一個句子的 BERT tokens 並加入分隔符號 [SEP]\n","        word_pieces = ['[CLS]']\n","        statement = self.tokenizer.tokenize(statement)\n","        word_pieces += statement + ['[SEP]']\n","        len_st = len(word_pieces)\n","        \n","#         # 第二個句子的 BERT tokens\n","#         tokens_b = self.tokenizer.tokenize(text_b)\n","#         word_pieces += tokens_b + [\"[SEP]\"]\n","#         len_b = len(word_pieces) - len_a\n","        \n","        # 將整個 token 序列轉換成索引序列\n","        ids = self.tokenizer.convert_tokens_to_ids(word_pieces)\n","        tokens_tensor = torch.tensor(ids)\n","        \n","        # 將第一句包含 [SEP] 的 token 位置設為 0\n","        segments_tensor = torch.tensor([0] * len_st, dtype=torch.long)\n","        \n","        return (tokens_tensor, segments_tensor, label_tensor)\n","    \n","    def __len__(self):\n","        return self.len\n","    \n","    \n","# Initialize Datasets for Transformation\n","trainset = FakeNewsDataset('train', tokenizer=tokenizer)\n","valset = FakeNewsDataset('val', tokenizer=tokenizer)\n","testset = FakeNewsDataset('test', tokenizer=tokenizer)\n","\n","print('trainset size:' ,trainset.__len__())\n","print('valset size:',valset.__len__())\n","print('testset size: ',testset.__len__())"],"execution_count":null,"outputs":[{"output_type":"stream","text":["trainset size: 15227\n","valset size: 3801\n","testset size:  4737\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"L91EOQVkGbL7"},"source":["## Sampling and Observing Tensors"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"r1idsU6_zk9h","executionInfo":{"status":"ok","timestamp":1624013465742,"user_tz":-480,"elapsed":11,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"bb7a81a3-4267-49bd-ed09-caa2ed7d039b"},"source":["# 選擇第一個樣本\n","sample_idx = 0\n","\n","# 將原始文本拿出做比較\n","statement, label = trainset.df.iloc[sample_idx].values\n","\n","# 利用剛剛建立的 Dataset 取出轉換後的 id tensors\n","tokens_tensor, segments_tensor, label_tensor = trainset[sample_idx]\n","\n","# 將 tokens_tensor 還原成文本\n","tokens = tokenizer.convert_ids_to_tokens(tokens_tensor.tolist())\n","combined_text = \" \".join(tokens)\n","\n","# 渲染前後差異，毫無反應就是個 print。可以直接看輸出結果\n","print(f\"\"\"\n","original_statement: \n","{statement}\n","\n","tokens: \n","{tokens}\n","\n","label: {label}\n","\n","--------------------\n","\n","tokens_tensor: \n","{tokens_tensor}\n","\n","segments_tensor: \n","{segments_tensor}\n","\n","label_tensor: \n","{label_tensor}\n","\n","\"\"\")"],"execution_count":null,"outputs":[{"output_type":"stream","text":["\n","original_statement: \n","Trump tightens grip on U.S. Republican nomination\n","\n","tokens: \n","['[CLS]', 'trump', 'tighten', '##s', 'grip', 'on', 'u', '.', 's', '.', 'republican', 'nomination', '[SEP]']\n","\n","label: 1\n","\n","--------------------\n","\n","tokens_tensor: \n","tensor([  101,  8398, 21245,  2015,  6218,  2006,  1057,  1012,  1055,  1012,\n","         3951,  6488,   102])\n","\n","segments_tensor: \n","tensor([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])\n","\n","label_tensor: \n","1\n","\n","\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"ucRDSbGIGs9W"},"source":["## Reforming the Dataset to Fit the Model"]},{"cell_type":"code","metadata":{"id":"17EOIZBt4FAp"},"source":["from torch.utils.data import DataLoader\n","from torch.nn.utils.rnn import pad_sequence\n","\n","# 這個函式的輸入 `samples` 是一個 list，裡頭的每個 element 都是\n","# 剛剛定義的 `FakeNewsDataset` 回傳的一個樣本，每個樣本都包含 3 tensors：\n","# - tokens_tensor\n","# - segments_tensor\n","# - label_tensor\n","# 它會對前兩個 tensors 作 zero padding，並產生前面說明過的 masks_tensors\n","def create_mini_batch(samples):\n","    tokens_tensors = [s[0] for s in samples]\n","    segments_tensors = [s[1] for s in samples]\n","    \n","    # 測試集有 labels\n","    if samples[0][2] is not None:\n","        label_ids = torch.stack([s[2] for s in samples])\n","    else:\n","        label_ids = None\n","    \n","    # Zero Padding\n","    tokens_tensors = pad_sequence(tokens_tensors, batch_first=True)\n","    segments_tensors = pad_sequence(segments_tensors, batch_first=True)\n","    \n","    # attention masks，將 tokens_tensors 裡頭不為 zero padding\n","    # 的位置設為 1 讓 BERT 只關注這些位置的 tokens\n","    masks_tensors = torch.zeros(tokens_tensors.shape, dtype=torch.long)\n","    masks_tensors = masks_tensors.masked_fill(tokens_tensors != 0, 1)\n","    \n","    return tokens_tensors, segments_tensors, masks_tensors, label_ids\n","\n","\n","# 初始化一個每次回傳 16 個訓練樣本的 DataLoader\n","# 利用 `collate_fn` 將 list of samples 合併成一個 mini-batch 是關鍵\n","BATCH_SIZE = 16\n","trainloader = DataLoader(trainset, batch_size=BATCH_SIZE, collate_fn=create_mini_batch)\n","valloader = DataLoader(valset, batch_size=BATCH_SIZE, collate_fn=create_mini_batch)\n","testloader = DataLoader(testset, batch_size=BATCH_SIZE,collate_fn=create_mini_batch)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"oVSHXtGi5UJR","executionInfo":{"status":"ok","timestamp":1624013466215,"user_tz":-480,"elapsed":480,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"0b6414a4-dcaa-4c07-b62b-33d0d35d6b56"},"source":["data = next(iter(trainloader))\n","\n","tokens_tensors, segments_tensors, masks_tensors, label_ids = data\n","\n","print(f\"\"\"\n","tokens_tensors.shape   = {tokens_tensors.shape} \n","{tokens_tensors}\n","------------------------\n","segments_tensors.shape = {segments_tensors.shape}\n","{segments_tensors}\n","------------------------\n","masks_tensors.shape    = {masks_tensors.shape}\n","{masks_tensors}\n","------------------------\n","label_ids.shape        = {label_ids.shape}\n","{label_ids}\n","\"\"\")"],"execution_count":null,"outputs":[{"output_type":"stream","text":["\n","tokens_tensors.shape   = torch.Size([16, 21]) \n","tensor([[  101,  8398, 21245,  2015,  6218,  2006,  1057,  1012,  1055,  1012,\n","          3951,  6488,   102,     0,     0,     0,     0,     0,     0,     0,\n","             0],\n","        [  101, 22072,  1024,  3607,  8269,  2157,  2000,  3013,  2582,  1057,\n","          1012,  1055,  1012,  8041,  3260,   102,     0,     0,     0,     0,\n","             0],\n","        [  101, 23142,   999,  2110,  4584, 13950, 14303,  9861, 15608,  1999,\n","          3572,  2408,  2637,  1529, 14451,  2015,  6206,  5829,  2011,  3667,\n","           102],\n","        [  101, 20864,  2758,  2959,  1057,  1012,  1055,  1012,  5268,  2730,\n","          1999, 16842, 15283,   102,     0,     0,     0,     0,     0,     0,\n","             0],\n","        [  101,  8341,  1005,  1055, 21291,  3089,  7755,  2089, 10632,  8172,\n","          2279,  2733,  1024,  4861,   102,     0,     0,     0,     0,     0,\n","             0],\n","        [  101,  5924,  2343,  1024,  8818,  2000,  2131,  6211,  2004,  3864,\n","          3921,   102,     0,     0,     0,     0,     0,     0,     0,     0,\n","             0],\n","        [  101,  3607,  2000,  6232,  4697,  8398, 11032,  2006,  6744,  2012,\n","          1057,  1012,  1050,  1012,  3036,  2473,  1024, 15544,  2050,   102,\n","             0],\n","        [  101,  2845,  2510,  1024,  3260,  8885,  1010,  5499,  2110,  3249,\n","          1999,  7795,   102,     0,     0,     0,     0,     0,     0,     0,\n","             0],\n","        [  101,  2634,  8011,  2015,  2519,  2006, 13938, 23187,  9146, 13463,\n","          3928,  4559,   102,     0,     0,     0,     0,     0,     0,     0,\n","             0],\n","        [  101,  8398,  1005,  1055,  4171,  3021,  5344,  4022,  4001,  3951,\n","          4559,   102,     0,     0,     0,     0,     0,     0,     0,     0,\n","             0],\n","        [  101,  2148,  3088,  1005,  1055,  2019,  2278,  4122,  2000,  4468,\n","          3975,  2044,  3789,  1024,  3026,  2880,   102,     0,     0,     0,\n","             0],\n","        [  101,  1057,  1012,  1055,  1012,  2160,  2097, 15454,  2561,  9614,\n","          1997,  2110,  1998,  2334,  4171,  2139, 16256,  2015,  1024, 10184,\n","           102],\n","        [  101,  3907,  2343, 10457,  2091,  1999,  8268,  5290, 14690,   102,\n","             0,     0,     0,     0,     0,     0,     0,     0,     0,     0,\n","             0],\n","        [  101, 13172,  2218,  1999,  9341,  1011,  5364, 25430, 18589,  2227,\n","         10130,  5571,   102,     0,     0,     0,     0,     0,     0,     0,\n","             0],\n","        [  101,  3960, 21500,  3527,  2546,  4455,  8740,  3070,  2624, 10514,\n","          2226, 18712,  2072,  1005,  2192, 28478,  2368,  2000, 14052,  1005,\n","           102],\n","        [  101,  2013, 16094,  1010,  4238, 16495,  2000, 14323,  3956,   102,\n","             0,     0,     0,     0,     0,     0,     0,     0,     0,     0,\n","             0]])\n","------------------------\n","segments_tensors.shape = torch.Size([16, 21])\n","tensor([[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n","        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n","        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n","        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n","        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n","        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n","        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n","        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n","        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n","        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n","        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n","        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n","        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n","        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n","        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n","        [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]])\n","------------------------\n","masks_tensors.shape    = torch.Size([16, 21])\n","tensor([[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0],\n","        [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0],\n","        [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],\n","        [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0],\n","        [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0],\n","        [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n","        [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0],\n","        [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0],\n","        [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0],\n","        [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n","        [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0],\n","        [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],\n","        [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n","        [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0],\n","        [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],\n","        [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]])\n","------------------------\n","label_ids.shape        = torch.Size([16])\n","tensor([1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])\n","\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"OPEO_bTwFuYK"},"source":["## Model Construction"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"bW_20Qy65gv3","executionInfo":{"status":"ok","timestamp":1624013468797,"user_tz":-480,"elapsed":2583,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"d5db03df-1207-46f6-acc6-44a2d9aaf4ef"},"source":["from transformers import BertForSequenceClassification\n","from IPython.display import display, clear_output\n","\n","PRETRAINED_MODEL_NAME = \"bert-base-uncased\"\n","NUM_LABELS = 2\n","\n","model = BertForSequenceClassification.from_pretrained(\n","    PRETRAINED_MODEL_NAME, num_labels=NUM_LABELS)\n","\n","clear_output()\n","\n","# high-level 顯示此模型裡的 modules\n","print(\"\"\"\n","name             module\n","-----------------------\"\"\")\n","for name, module in model.named_children():\n","    if name == \"bert\":\n","        for n, _ in module.named_children():\n","            print(f\"{name}:{n}\")\n","    else:\n","        print(\"{:16} {}\".format(name, module))"],"execution_count":null,"outputs":[{"output_type":"stream","text":["\n","name             module\n","-----------------------\n","bert:embeddings\n","bert:encoder\n","bert:pooler\n","dropout          Dropout(p=0.1, inplace=False)\n","classifier       Linear(in_features=768, out_features=2, bias=True)\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"snNWm_UR6E7M","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1624013468798,"user_tz":-480,"elapsed":16,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"7e1ad656-bb1e-46a8-d1d6-4528dafb25bf"},"source":["model.config"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["BertConfig {\n","  \"_name_or_path\": \"bert-base-uncased\",\n","  \"architectures\": [\n","    \"BertForMaskedLM\"\n","  ],\n","  \"attention_probs_dropout_prob\": 0.1,\n","  \"gradient_checkpointing\": false,\n","  \"hidden_act\": \"gelu\",\n","  \"hidden_dropout_prob\": 0.1,\n","  \"hidden_size\": 768,\n","  \"initializer_range\": 0.02,\n","  \"intermediate_size\": 3072,\n","  \"layer_norm_eps\": 1e-12,\n","  \"max_position_embeddings\": 512,\n","  \"model_type\": \"bert\",\n","  \"num_attention_heads\": 12,\n","  \"num_hidden_layers\": 12,\n","  \"pad_token_id\": 0,\n","  \"position_embedding_type\": \"absolute\",\n","  \"transformers_version\": \"4.7.0\",\n","  \"type_vocab_size\": 2,\n","  \"use_cache\": true,\n","  \"vocab_size\": 30522\n","}"]},"metadata":{"tags":[]},"execution_count":42}]},{"cell_type":"markdown","metadata":{"id":"vQ8UbmbBFkwX"},"source":["## Fine-Tuning of BERT"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":181,"referenced_widgets":["88f4fd268355492bace38958dc270e17","71ffb4361ea54026b02fb7e0f1a588fd","22c5cd32e87346ad8e20d010e00b5c17","bc38b318e8dc4c1087b348986850acff","b1041183a3754f3d9f9e610fd273cf90","54e989ec23f44d339e78ddc4867c185a","b6936cbbabc545d299c8c89ee17be4e6","4a6255f068ae48c19a095fd1859547df","3d4fe8f9689440aeb6be3fad481f72a3","cdeac9aaab344c98b43f4345f10f7568","0e2398ba477343c683ffa9eec5873e99","f0fc4e973032499481918f2ad0d130d9","81e917c435be4f17910c718b756be56a","df8f8e820b5e4e25a4bef243eccd1d69","e158b521958544d98f081406b4173bb6","458775d2ec47469782ba34900594b75e","e22ab98b42804776800ce8aa630387ac","c44616b6bc714f39ba6b45db0320a14b","4c38f9a1fa7d40e39ba97cbdaaf69499","aed4b7ee43c64a1ebedb89fbcbe55086","0fbc1ea78a044cefbf3534c4548a2c52","a666a7fe0c2a429ebae003910b02fff7","6867f3e28b1a408086f0fc3f9a46ab71","2a1cd66dd89e429788ec71ba68c639a1"]},"id":"_-5eIVJk69IW","executionInfo":{"status":"ok","timestamp":1624013819090,"user_tz":-480,"elapsed":350303,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"d7bd3f7f-9cb0-48ee-f899-d48365720250"},"source":["# %%time\n","from sklearn.metrics import accuracy_score\n","from tqdm.notebook import tqdm\n","\n","device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n","print(\"device:\", device)\n","model = model.to(device)\n","\n","model.train()\n","optimizer = torch.optim.Adam(model.parameters(), lr=1e-5)\n","NUM_EPOCHS = 3\n","\n","for epoch in range(NUM_EPOCHS):\n","    train_loss = 0.0\n","    train_acc = 0.0\n","\n","    loop = tqdm(trainloader)\n","    for batch_idx, data in enumerate(loop):\n","        tokens_tensors, segments_tensors, masks_tensors, labels = [t.to(device) for t in data]\n","\n","        # 將參數梯度歸零\n","        optimizer.zero_grad()\n","        \n","        outputs = model(input_ids=tokens_tensors, \n","                        token_type_ids=segments_tensors, \n","                        attention_mask=masks_tensors, \n","                        labels=labels)\n","\n","        loss = outputs[0]\n","        loss.backward()\n","        optimizer.step()\n","\n","        logits = outputs[1]\n","        _, pred = torch.max(logits.data, 1)\n","        train_acc = accuracy_score(pred.cpu().tolist() , labels.cpu().tolist())\n","\n","        # 紀錄當前 batch loss\n","        train_loss += loss.item()\n","\n","        # if batch_idx == len(trainloader)-1:\n","        #     _, acc = get_predictions(model, trainloader, compute_acc=True)\n","\n","        loop.set_description(f\"Epoch [{epoch+1}/{NUM_EPOCHS}]\")\n","        loop.set_postfix(acc = train_acc, loss = train_loss)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["device: cuda:0\n"],"name":"stdout"},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"88f4fd268355492bace38958dc270e17","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=0.0, max=952.0), HTML(value='')))"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n"],"name":"stdout"},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"3d4fe8f9689440aeb6be3fad481f72a3","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=0.0, max=952.0), HTML(value='')))"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n"],"name":"stdout"},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"e22ab98b42804776800ce8aa630387ac","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=0.0, max=952.0), HTML(value='')))"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"cGCXb2ZmyzzO"},"source":["## Save Model"]},{"cell_type":"code","metadata":{"id":"b0A4tXryy1p0","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1624013820939,"user_tz":-480,"elapsed":1865,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"274a08ee-f36f-4c3b-fe21-9a56c8825a97"},"source":["torch.save(model, './best_model.pth')\n","print('Model saved!')"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Model saved!\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"OzgrW9tVyjh4"},"source":["## Load Model"]},{"cell_type":"code","metadata":{"id":"R8EiVdPKyi_R"},"source":["# model = torch.load('./best_model.pth')\n","# model = model.to(device)"],"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"zyWQAifDIGd_"},"source":["## Test"]},{"cell_type":"code","metadata":{"id":"2RFbGrgVDID-","colab":{"base_uri":"https://localhost:8080/","height":330},"executionInfo":{"status":"ok","timestamp":1624013830454,"user_tz":-480,"elapsed":9518,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"e6563b56-8227-4bee-f0e6-df38de60768c"},"source":["from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay\n","\n","true=[]\n","predictions=[]\n","with torch.no_grad():\n","    model.eval()\n","    for data in testloader:\n","        if next(model.parameters()).is_cuda:\n","            data = [t.to(device) for t in data if t is not None]\n","            \n","        tokens_tensors, segments_tensors, masks_tensors = data[:3]\n","        test_outputs = model(input_ids=tokens_tensors, \n","                    token_type_ids=segments_tensors, \n","                    attention_mask=masks_tensors)\n","\n","        logits = test_outputs[0]\n","        _, pred = torch.max(logits.data, 1)\n","\n","        labels = data[3]\n","        true.extend(labels.cpu().tolist())\n","        predictions.extend(pred.cpu().tolist())\n","\n","\n","cm = confusion_matrix(true, predictions, labels=[1, 0], normalize='pred')\n","print(cm)\n","\n","disp = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=['Real', 'Fake'])\n","disp.plot()\n","\n","print('Acc: ', accuracy_score(predictions,true))"],"execution_count":null,"outputs":[{"output_type":"stream","text":["[[0.99530516 0.05450734]\n"," [0.00469484 0.94549266]]\n","Acc:  0.9902892125818028\n"],"name":"stdout"},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 2 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"PTEIwWN8IVWS","colab":{"base_uri":"https://localhost:8080/","height":419},"executionInfo":{"status":"ok","timestamp":1624013830455,"user_tz":-480,"elapsed":31,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"5f116503-c066-4bfe-fdcc-db76cda752b5"},"source":["df = pd.DataFrame({\"pred_label\": predictions})\n","\n","df_pred = pd.concat([testset.df.loc[:, ['title']], \n","                          testset.df.loc[:, ['true']], \n","                          df.loc[:, 'pred_label']], axis=1)\n","# df_pred.to_csv('bert_1_prec_training_samples.csv', index=False)\n","df_pred"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>title</th>\n","      <th>true</th>\n","      <th>pred_label</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>U.S. tax cuts won't make housing more affordab...</td>\n","      <td>1</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>U.S. Attorney General Sessions hires private a...</td>\n","      <td>1</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Bernie Sanders-style, grassroots effort a like...</td>\n","      <td>1</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Sanders praises Obama, Biden for impartiality,...</td>\n","      <td>1</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>OBAMA REGIME Uses Image Of U.S. Constitution I...</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>4732</th>\n","      <td>Senate confirms two FERC commissioners, restor...</td>\n","      <td>1</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>4733</th>\n","      <td>CNN’s Don Lemon Tries to Downplay Horrific ‘An...</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>4734</th>\n","      <td>More than 20 Islamic State militants killed in...</td>\n","      <td>1</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>4735</th>\n","      <td>Trapped by landmines and a creek, Rohingya lan...</td>\n","      <td>1</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>4736</th>\n","      <td>NATO head says all states must comply with Nor...</td>\n","      <td>1</td>\n","      <td>1</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>4737 rows × 3 columns</p>\n","</div>"],"text/plain":["                                                  title  true  pred_label\n","0     U.S. tax cuts won't make housing more affordab...     1           1\n","1     U.S. Attorney General Sessions hires private a...     1           1\n","2     Bernie Sanders-style, grassroots effort a like...     1           1\n","3     Sanders praises Obama, Biden for impartiality,...     1           1\n","4     OBAMA REGIME Uses Image Of U.S. Constitution I...     0           0\n","...                                                 ...   ...         ...\n","4732  Senate confirms two FERC commissioners, restor...     1           1\n","4733  CNN’s Don Lemon Tries to Downplay Horrific ‘An...     0           0\n","4734  More than 20 Islamic State militants killed in...     1           1\n","4735  Trapped by landmines and a creek, Rohingya lan...     1           1\n","4736  NATO head says all states must comply with Nor...     1           1\n","\n","[4737 rows x 3 columns]"]},"metadata":{"tags":[]},"execution_count":47}]},{"cell_type":"code","metadata":{"id":"cemLGn82Ip_r","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1624013830456,"user_tz":-480,"elapsed":30,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"6aa36a9b-1d29-4db3-97ae-60849d035f0e"},"source":["print(classification_report(df_pred.true, df_pred.pred_label))"],"execution_count":null,"outputs":[{"output_type":"stream","text":["              precision    recall  f1-score   support\n","\n","           0       0.95      0.96      0.95       471\n","           1       1.00      0.99      0.99      4266\n","\n","    accuracy                           0.99      4737\n","   macro avg       0.97      0.98      0.97      4737\n","weighted avg       0.99      0.99      0.99      4737\n","\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"7RLlblX-GjNa"},"source":["## Insight on Wrong Classification"]},{"cell_type":"code","metadata":{"id":"RJEZRa5gGCV1","colab":{"base_uri":"https://localhost:8080/","height":295},"executionInfo":{"status":"ok","timestamp":1624013830457,"user_tz":-480,"elapsed":27,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"61248426-4b8d-4b7b-9799-1a5560d0ca0d"},"source":["wrong_df = df_pred[df_pred.true != df_pred.pred_label]\n","sns.countplot(y=\"true\", palette=\"coolwarm\", data=wrong_df).set_title('Wrong Classification Result Real/Fake Distribution')\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"alPx6RBOFhTY","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1624013830458,"user_tz":-480,"elapsed":27,"user":{"displayName":"林佑鑫","photoUrl":"","userId":"04437666967546190622"}},"outputId":"4907e2b5-c798-4de6-a636-ddf734701de0"},"source":["wrong_titles = df_pred[df_pred.true != df_pred.pred_label].title.values\n","wrong_titles"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([' The Hidden Root Of White Rage',\n","       'Democrats want to grill Wells Fargo executives about auto insurance',\n","       'Top executive behind Dakota Access has donated more than $100,000 to Trump',\n","       'Exclusive: Trump targets illegal immigrants who were given reprieves from deportation by Obama',\n","       ' Trump Tries To MANIPULATE Nevada Vote And Gets Shut Down HARD',\n","       ' In White House Conference Call About Iran, Staffers Talked About Blowup Dolls',\n","       \"What do I need to know about the CIA's hacking program?\",\n","       'The Big Squeeze: This election year, it’s all about the money',\n","       'Got bank? Election could create flood of marijuana cash with no place to go',\n","       'Trump gives Boy Scouts at jamboree a taste of Washington politics',\n","       'Palin vows to help defeat Ryan over his refusal to support Trump',\n","       'Trump unshackled: President defends Charlottesville response at raucous rally',\n","       ' Anti-Gay Alabama Chief Justice Roy Moore To Stand Trial For Defying Supreme Court',\n","       'Mnuchin tells Yale classmates: Trump does not equate neo-Nazis with peaceful protesters',\n","       'Poll: Trump extends his lead among Republicans with 42 percent support',\n","       ' Comrade Trump Pushes Conspiracy Theory From Russian Propaganda Site',\n","       \"Donald Trump's Hollywood Walk of Fame star vandalized on video\",\n","       'Who are Paul Manafort and Rick Gates?',\n","       'Trump tweets thanks to Steve Bannon for service and role in campaign against Clinton',\n","       'TRUMP AND CRUZ ANNOUNCE A JOINT RALLY TO PROTEST THE IRAN DEAL',\n","       'A kiss is not just a kiss on Cleveland convention billboards',\n","       'U.S. police deaths build momentum for law to treat attacks as hate crimes',\n","       ' Bernie Sanders Gave EXCELLENT Speech On Israel, But Media Ignored It',\n","       ' Cliven Bundy Takes Charge Of Remaining Oregon Militiamen, Says They Will Continue Occupation Indefinitely',\n","       'Why John McCain Will Never Vote to Repeal and Replace Obamacare',\n","       'Cruz unleashes fury at Trump over Lee Harvey Oswald comment',\n","       'SUPREME COURT: VIOLENT THREATS ON FACEBOOK MAY BE OK',\n","       '2016 OLYMPIC OPENING CEREMONY Slips Some Politics Into The Show In RIO',\n","       ' NBA Yanks All-Star Game Out Of Charlotte Over Bigoted Bathroom Law',\n","       'Sweet home Chicago: Obama re-emerges in city where it all began',\n","       'Trump flag-burning tweet leads activists to burn some flags in New York',\n","       ' Huge Progressive Group Demands Debbie Wasserman-Schultz Immediately Resign As DNC Chair',\n","       'Prankster, coughing fits mar Theresa May’s speech to activists',\n","       'John Kerry: Carnival should not bar Cuban-Americans from cruises to Cuba',\n","       ' Malia Obama Is Getting Political And Standing Up Against Trump',\n","       'Without Evidence, Trump Launches 59 Cruise Missiles, Destroying Syrian Air Force Base',\n","       'U.S. judge orders special counsel to turn over evidence on Michael Flynn',\n","       'Fired: Trump dumps top lawyer who defied immigration order',\n","       'Why Obama Fears A Hillary Presidency',\n","       ' YMCA Camp Forces Black Children Through Slavery Reenactment',\n","       'HOW 125,000 ILLEGAL KIDS Have Been Able To Avoid Deportation',\n","       'OBAMA WARNS: Crackdown On Terrorism In U.S. Would Violate Iran Deal',\n","       'Commentary: Party leaders often disliked their nominee. It’s the public vitriol that’s new.',\n","       'Amsterdam mayor Van der Laan, who once snubbed Putin, dies of cancer',\n","       \"Which ‘La Raza’? Trump comments cause confusion over group's role\",\n","       ' Psychiatry Professors Make STUNNING Request To Obama Amid Concerns Over Trump'],\n","      dtype=object)"]},"metadata":{"tags":[]},"execution_count":50}]},{"cell_type":"markdown","metadata":{"id":"Qw43zygDvGxW"},"source":["# ALBERT"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"7Ut_JFa4vFvq","executionInfo":{"status":"ok","timestamp":1624165550355,"user_tz":-480,"elapsed":10350,"user":{"displayName":"泓毅吳","photoUrl":"","userId":"03625503255146770155"}},"outputId":"221698ce-46bb-452a-daea-e170def50ec1"},"source":["!pip install transformers\n","\n","import torch\n","from transformers import AlbertTokenizer"],"execution_count":1,"outputs":[{"output_type":"stream","text":["Collecting transformers\n","\u001b[?25l  Downloading https://files.pythonhosted.org/packages/00/92/6153f4912b84ee1ab53ab45663d23e7cf3704161cb5ef18b0c07e207cef2/transformers-4.7.0-py3-none-any.whl (2.5MB)\n","\u001b[K 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/usr/local/lib/python3.7/dist-packages (from requests->transformers) (3.0.4)\n","Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->transformers) (2021.5.30)\n","Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->transformers) (2.10)\n","Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->transformers) (1.24.3)\n","Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from sacremoses->transformers) (1.15.0)\n","Requirement already satisfied: joblib in /usr/local/lib/python3.7/dist-packages (from sacremoses->transformers) (1.0.1)\n","Requirement already satisfied: click in /usr/local/lib/python3.7/dist-packages (from sacremoses->transformers) (7.1.2)\n","Requirement already satisfied: typing-extensions>=3.6.4; python_version < \"3.8\" in /usr/local/lib/python3.7/dist-packages (from importlib-metadata; python_version < \"3.8\"->transformers) (3.7.4.3)\n","Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata; python_version < \"3.8\"->transformers) (3.4.1)\n","Requirement already satisfied: pyparsing>=2.0.2 in /usr/local/lib/python3.7/dist-packages (from packaging->transformers) (2.4.7)\n","Installing collected packages: sacremoses, tokenizers, huggingface-hub, transformers\n","Successfully installed huggingface-hub-0.0.8 sacremoses-0.0.45 tokenizers-0.10.3 transformers-4.7.0\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":511},"id":"T4mYUmwDz7iP","executionInfo":{"status":"error","timestamp":1624165802773,"user_tz":-480,"elapsed":316,"user":{"displayName":"泓毅吳","photoUrl":"","userId":"03625503255146770155"}},"outputId":"fc296d62-d711-4e57-8225-ce1cc598b9f4"},"source":["PRETRAINED_MODEL_NAME = 'albert-base-v2'\n","tokenizer = AlbertTokenizer.from_pretrained(PRETRAINED_MODEL_NAME)"],"execution_count":5,"outputs":[{"output_type":"error","ename":"ImportError","evalue":"ignored","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mImportError\u001b[0m                               Traceback (most recent call last)","\u001b[0;32m<ipython-input-5-e51e4240d236>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtokenizer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mAlbertTokenizer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfrom_pretrained\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'albert-base-v2'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m","\u001b[0;32m/usr/local/lib/python3.7/dist-packages/transformers/utils/dummy_sentencepiece_objects.py\u001b[0m in \u001b[0;36mfrom_pretrained\u001b[0;34m(cls, *args, **kwargs)\u001b[0m\n\u001b[1;32m      9\u001b[0m     \u001b[0;34m@\u001b[0m\u001b[0mclassmethod\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mfrom_pretrained\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcls\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 11\u001b[0;31m         \u001b[0mrequires_backends\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcls\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m\"sentencepiece\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     12\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     13\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.7/dist-packages/transformers/file_utils.py\u001b[0m in \u001b[0;36mrequires_backends\u001b[0;34m(obj, backends)\u001b[0m\n\u001b[1;32m    610\u001b[0m     \u001b[0mname\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mobj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__name__\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mhasattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"__name__\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0mobj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__class__\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__name__\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    611\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mall\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mBACKENDS_MAPPING\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mbackend\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mbackend\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mbackends\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 612\u001b[0;31m         \u001b[0;32mraise\u001b[0m \u001b[0mImportError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"\"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mBACKENDS_MAPPING\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mbackend\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mbackend\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mbackends\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    613\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    614\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mImportError\u001b[0m: \nAlbertTokenizer requires the SentencePiece library but it was not found in your environment. Checkout the instructions on the\ninstallation page of its repo: https://github.com/google/sentencepiece#installation and follow the ones\nthat match your environment.\n","","\u001b[0;31m---------------------------------------------------------------------------\u001b[0;32m\nNOTE: If your import is failing due to a missing package, you can\nmanually install dependencies using either !pip or !apt.\n\nTo view examples of installing some common dependencies, click the\n\"Open Examples\" button below.\n\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n"]}]}]}