From 732138f9169296bc277ca374fe64a8c3a81c92b3 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Fran=C3=A7ois=20Pelletier?= Date: Fri, 19 Feb 2021 22:38:43 -0500 Subject: [PATCH] =?UTF-8?q?corrections=20pour=20que=20=C3=A7a=20roule=20en?= =?UTF-8?q?core?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- Makefile | 6 +- README.md | 3 +- analyse_articles.ipynb | 187 +++++++++++++++------------------- rapport.md | 8 +- textes_articles.ipynb | 13 ++- traitement_articles.ipynb | 14 ++- traitement_commentaires.ipynb | 12 +-- 7 files changed, 116 insertions(+), 127 deletions(-) diff --git a/Makefile b/Makefile index f67ebab..0f89d2b 100644 --- a/Makefile +++ b/Makefile @@ -1,7 +1,9 @@ build: rapport.md analyse_articles.ipynb commentaires.ipynb textes_articles.ipynb traitement_articles.ipynb traitement_commentaires.ipynb - pandoc --filter=pandoc-citeproc --dpi=180 -f markdown+raw_tex+latex_macros rapport.md -o rapport.pdf + jupyter nbconvert --to script analyse_articles.ipynb jupyter nbconvert --to script commentaires.ipynb jupyter nbconvert --to script textes_articles.ipynb jupyter nbconvert --to script traitement_articles.ipynb - jupyter nbconvert --to script traitement_commentaires.ipynb \ No newline at end of file + jupyter nbconvert --to script traitement_commentaires.ipynb + + pandoc --citeproc --dpi=180 -f markdown+raw_tex+latex_macros rapport.md -o rapport.pdf diff --git a/README.md b/README.md index a0b5d3d..6bfddab 100644 --- a/README.md +++ b/README.md @@ -22,6 +22,7 @@ pip install git+https://github.com/ClaudeCoulombe/FrenchLefffLemmatizer.git import nltk nltk.download('wordnet') nltk.download('omw') +nltk.download('punkt') ``` ## Obtenir CoreNLP @@ -38,7 +39,7 @@ https://stanfordnlp.github.io/CoreNLP/download.html Exécuter cette commande dans le répertoire de CoreNLP ```bash -java -mx4g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -serverProperties StanfordCoreNLP-french.properties -preload tokenize,ssplit,pos,lemma,ner,parse,depparse -status_port 9000 -port 9000 -timeout 15000 & +java -mx8g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -serverProperties StanfordCoreNLP-french.properties -preload tokenize,ssplit,pos,lemma,ner,parse,depparse -status_port 9000 -port 9000 -timeout 15000 & ``` ## Compilation du rapport en PDF (requiert pandoc et texlive, a installer depuis les paquets de la distribution linux utilisée): diff --git a/analyse_articles.ipynb b/analyse_articles.ipynb index bc766ce..6d17a5a 100644 --- a/analyse_articles.ipynb +++ b/analyse_articles.ipynb @@ -13,7 +13,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -31,7 +31,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -42,7 +42,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -60,7 +60,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -71,7 +71,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -94,7 +94,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -103,7 +103,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -112,7 +112,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -128,7 +128,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -137,7 +137,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -146,7 +146,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -162,7 +162,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -172,7 +172,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -181,7 +181,7 @@ "0.13" ] }, - "execution_count": 17, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -201,7 +201,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -217,7 +217,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -235,7 +235,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -251,7 +251,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -267,7 +267,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -283,7 +283,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ @@ -292,7 +292,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -301,7 +301,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ @@ -310,12 +310,12 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 22, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -339,12 +339,12 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 23, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -374,7 +374,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ @@ -383,12 +383,12 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 25, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -420,7 +420,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ @@ -434,7 +434,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 27, "metadata": {}, "outputs": [], "source": [ @@ -443,7 +443,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 28, "metadata": {}, "outputs": [], "source": [ @@ -452,7 +452,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 29, "metadata": {}, "outputs": [], "source": [ @@ -463,7 +463,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 30, "metadata": {}, "outputs": [], "source": [ @@ -472,7 +472,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 31, "metadata": {}, "outputs": [], "source": [ @@ -481,7 +481,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 32, "metadata": {}, "outputs": [], "source": [ @@ -490,7 +490,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 33, "metadata": {}, "outputs": [], "source": [ @@ -499,7 +499,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 34, "metadata": {}, "outputs": [], "source": [ @@ -508,7 +508,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 35, "metadata": {}, "outputs": [], "source": [ @@ -517,7 +517,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 36, "metadata": {}, "outputs": [], "source": [ @@ -526,14 +526,14 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 37, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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nMQK4WNJmpCWK18zlewPnRsRrud6FkrYCtgJulATpHJ/O759brZGIaAfaIS2ZXEd8ZpY5wQxOM4EPA68CfwAuIn35Hl9h/86R62Ws/G/mfmA08Dag0vhIuWN7szb594DpEbG/pFHAzSV1Rpd9BTwQEbv0oj0z6yF3kQ1OM4BjgTsi4h/Am4EtgAfqrGcO8HnS+MhGdRx3K3AQgKR9gDfVcewI4G95+7CS8huAoyStketdD3gY2EDSLrlsTUnvrqMtM+sFJ5hBRNK0nAjuAjYkJRqAecC8iOh6BdCtiLiVdOXzu0oD9WV8B9hH0mzSldTTwEs1HvtD4AeSbiNddXWaBDwBzJN0H/CpiHgFOAA4JZfNBd4L3Y/BmFnvqQffKWa9ImkYsCwiXstXF+dExOgmh1WRpFkRMaa7/donnR8sL+b/U0trCxPGTyikbuszvekaHpA8BmPNMBKYImkI8ApwZJPjaYzlQYxdt5CqO6YvKqResyI5wVifi4hHWHGrNACS3gzcVGb390fE830SmJk1lBOM9Qs5iYxudhxm1jge5Dczs0I4wZiZWSGcYMzMrBBOMGZmVggP8ps1SEtrS2G3E7e0thRSr1mRun3QUtKmwJMRsVTSXsA2wC8i4p+FR2fWD9T6oCWrzoVmVmrQPWhZSxfZlcAySf8O/Jw0JfovC43KzMwGvFoSzPI8Bfr+wE8j4jjAizaZmVlVtSSYVyV9EvgMcG0uW7PK/mZmZjUlmMOBXYCTIuIxSe8ALi02LDMzG+g8m7JZNzzIbw0y6Ab5K96mLGlKRBwkaT5l/uPkdc/NLLvk0sl0LHm5x8e3DG9lwqHjGxiRWXNVew7my/nnR/oiELOBrmPJy6w3ev8eH79w7tQGRmPWfBUTTEQ8nX8+3nfhmJnZ6qLiIL+kW/PPlyQtyj87t1+U9JikL/ZdqGZmNpBUu4LZLf9cp9z7eYGo24GfFROamZkNZDXNRSZpW2D3/HJGRMyLiOfz1DFmZmar6PY5GElfBiYDb8l/Jks6BlaM05iZmXVVyxXM54CdI+JlAEmnAHcAZxYZmJmZDWy1JBgBy0peL2MQPjBk1p2hqn6r8RCC5VX+67QMby0iLLOmqSXBXAjcJanzf87HSLMqm1mJZQEHjVxa8f0pTwyjra2tDyMya65ux2Ai4iek+cgWAi8Ah0fETwuOywog6VhJw0teL66w31GSPt1NXYdJOqsnx9ZL0oGS/iRpeiPrNbNi1bqi5WPAa3l/Sdo+ImYXF5YV5FjSRKVLqu0UEef2tIHeHFvF54AvRoQTjNkAUstdZN8D5gFnAD/Of04tOC5rMEkTgY2A6aVXApJOknSfpDslbZjLTpR0fN6+WdIpku6W9GdJu5ep+z8l3SFp/VqOlTRc0hRJ8yT9WtJdkspOJinpBGA34FxJP5I0StJMSbPzn/eW7Pvfkubn8zk5l20q6TpJ9+bjtqjx82qTNEvSLGD9mj5kM1tJLVcwBwGbRsQrRQdjxZA0DTgC+AowNiKey2+1AndGxDcl/RA4EvjfMlWsERE7SRoHfBvYu6Tu/XO94yLiBWmVQexyx34ReCEitpG0FTC3UuwR8V1J7wOOj4hZuYvvAxHxL0mbAZcBYyR9mDQ+uHNELJG0Xq6iHTgqIh6RtDPpweD3SdoXGBMRJ1Rotz0fS04yZlanWhLM/cAbgWeLDcWKEhHjAMp8+b/CikXk7gU+UKGKq0r2GVVSPhYYA+wTEYvqOHY34PQc2/2S5nV3DiXWBM6SNJp0R+PmuXxv4MKIWJLrXShpbeC9wOUl5z4sv381cHUd7ZpZnWpJMD8A5ki6H3j9FpmI2LewqKyvvBorFgRaRuV/D0sr7PMo8E7Sl3yl3/LLHdub29yPA54BtiV18f6rpM6uy0oMAf4ZEaN70Z6Z9VAtK1peDJwCnMyKMZgfFxmUFeYloOzccj30OPBx4BeS3l3HcbeSul6RtCWwdR3HjgCejojlwARgaC6/Afhs511yktbLV1WPSTowlylPe2RmfaCWK5jnIuKMwiOxwpSMwbQDv5f0dESMbUTdEfGwpPGkbqiP1njYz4CLc9fYHNJNJC/WceyVOWlMB17OcVyXu81mSXoFmAb8DzAeOEfSt0jda78C7utuDKZHhogpTwyrukt7e3vF91paW5gwfkLDwjFrtm6XTJb0E1I3x9Ws3EXm25StRyQNBdbMA/WbAjcBm/fXG0lU45LJ7e3tEWPX7Xk70xf5QczV26CbAaWWK5jt8s/3lJQF8L7Gh2ODxHDS7dJrkv7TfaG/Jhcz67luE0yjulLMOkXES6S7z1Yi6S7yXV4lJkTE/D4JzMwaqtsEkx+++z6wUUR8OA/K7hIRno/MGioidm52DGbWOLXcRXYRcD3pKXCAP5OmHDEzM6uolgSzfkRMAZYDRMRrrDx9v5mZ2SpqSTAvS3oz+SE2Se+h9ltKzcxskKrlLrKvkG5R3lTSbcAGwAGFRmU2ALW0ttAxvdKMObUdb7Y66fY5GABJawDvIt1S+nBEvFp0YGb9Ra3PwbDqVDVmpfwcTDl53OWBgmMxM7PVSC1jMGZmZnVzgjEzs0LUsqLlrpJa8/ahkn4iaZPiQzMzs4GsliuYc4AleZrz/yZN0f6LQqMyM7MBr5ZB/tciIiTtB5weET+X9JmiAzMbaC65dDIdS16uef+W4a1MOHR8gRGZNVctCeYlSd8gLe60e+dU68WGZTbwdCx5mfVG71/z/gvnTi0wGrPmq6WL7GDSOjCfjYi/AxsDPyo0KjMzG/C6TTA5qVzJimnUnwP8q5eZmVVVy11kRwJXAOfloo2B3xQYk5mZrQZq6SI7GtgVWAQQEY8AbykyKDMzG/hqSTBLS5ezzfOSec4lMzOrqpYEc4uk/wFaJH0AuBy4ptiwzMxsoKvlNuWvA58D5gOfB6YBk4oMymwgGir459yrWF7jpLktw1sLjsisubpNMBGxHDg//zGzCpalJfloa2trdihm/ULFLjJJ8yXNq/SnL4NsBEnTJL0xby/OPzeSdEWD29lA0l2S5kjavZF19yCW2/PPUZI+VVJ+mKSz6qhncUHxrRSXma1eql3BfCT/PDr/vCT/HA8sKSyigkTEuDJlT9H41TnfDzwUEU2fTici3ps3RwGfAn7ZvGhWlm8WGUU/i8vMGqfiFUxEPB4RjwO7RsR/R8T8/OfrwAf7LsQVJJ0s6cF8FXVqLrtI0jmSpkt6VNKeki6Q9CdJF5Ucu0DS+l3qGyXp/rx9mKSrJF0n6RFJPyzZ73OS/izpZknnV/rtX9Jo4IfAOElzJbXk2GZJekDSd0r23VHS7ZLuk3S3pHUkDZX0I0n35HP8fJXP4meS9s3bUyVdUBLr/+btziuPk0nT/MyVdFwu26jcuVZp76Qc652SNsxlG0i6Msd7j6Rdc/lO+dzm5J/vKvmML5d0DXBDhbhK29w0x3ivpJmStsif02OS1sz7rJv/btcst3/e50BJ9+f4Z3R3rmbWIBFR9Q8wF9it5PV7gbndHdfIP6QbCzYCHmbFMs9vzD8vAn5FWo50P9LzOluTkue9wOi83wJg/by9OP8cBdyftw8DHgVGAGuRZo1+e253AbAeaQ62mcBZVWI9rPR9YL38cyhwM7AN8Ibc1o75vXVJV5NtwLdy2TBgFvCOCu0cAvwob98N3Jm3LwQ+2OU89wKu7RLjKuda5ZwC+Gje/mFJjL/s/LcBjAT+VHo+eXtv4MqSdp8s+UxWiqtMuzcBm+XtnYE/lpzjx/J2G/DjbvafD2zc5d/NRsC0Km235c9/FrCgln+n5513Xpx33nlhVkGffWf2lz+13EX2OeACSSPyF82LwGdrOK5hImJc7lL5FzBJ0u+Aa0t2uSYiQtJ84JmImA8g6QFSEplbY1M3RcSL+dgHgU2A9YFbImJhLr8c2LyO8A+S1EZKIG8FtiR9jk9HxD35/BbluvcBtpHU2W03AtgMeKxMvTOBYyVtCTwIvEnSW4FdgIk9PNf/q7DvK6z4vO8FPpC39wa2lF6/a2pdSevkuC+WtFk+19LJUW/s/CyrkbQ26ZeZy0vq75yuaBJp6YjfAIcDR3az/23ARZKmAFfB692jq3SbdoqIdqA9xzKru3jNbFW13EV2L7CtpHVJVw8vFh9W2Thek7QTaYzjEOBLwPvy20vzz+Ul252va0minUqPXZaPre2e0zIkvQM4nnSl8kLuslsr11nuYVUBx0TE9d3VHRF/k/Qm4EPADNIV1kGkq5aXagiv3LlW8mpERJl9hwC7RETHSichnQlMj4j9JY0iXbl1qjifvaQLge2Ap0h/x/+MiNFd94uI23L35p7A0Ii4P//7rLT/UZJ2Bv4TmCtpdEQ8X+V8zawBal4yOSIWNSu5wOu/0Y6IiGnAscDoPmr6bmBPSW/KV1GfqOPYdUlfqC/mcYsP5/KHSGMgOwLkcYU1gOuBL5SML2yuvJpoBXeQPosZpCua4/PPrl4C1qkj7lrdQEr0wOtjUJCuYP6Wtw+rcvxKcUXE4RExOiLG5au6xyQdmOuW0qJ3nX4BXEbqLqPa/pI2jYi7IuIE0mStb+/h+ZpZHer57b5pJE0DjgSmSuq8AlhlULgI+Urh+8BdpN+sHyR1E9Zy7H2S5gAPkMY8bsvlr0g6GDhTUgvQQepumkTq0put1M/zD+BjVZqYCewTEX+R9DjpKqZcgpkHvCbpPtKY1Qu1xF+DicDZSretr0FKdEeRxmkulvQV4I9Vjl8prog4rcv744FzJH2L1M32K+C+/N5k4H9JSaa7/X+Uu+tEGqe5T9JGwKQoc3dhjw0RLA/a29sbViVAS2sLE8ZPaGidZn1BK3o+rBJJa0fE4nyVMRW4ICK8ZEET5XGq/SKi8G9eSbMiYkx3+7W3t0eMXbfx7U9f5Ic3Vw897m4fqLq9gpE0HPgvYGREHJl/E3xXRFzbzaGrkxMl7U0aP7kBL1fQVHmM58NUGaQ3s+arpYvsQtKdQ7vk10+SJrwcNAkmIo7vWibpm8CBXYovj4iTGtm2pK1Z8ZBrp6URsXMj28lt3cWKO686Tei8K6+/iIhjmh2DmXWvlgSzaUQcLOmTABHRoZL7QAernEgamkwqtDOfPrqhoYikZWaDVy13kb2SB6LTVH7Spqx8i6uZmQ0ASrORjMnbr8/PWJRarmC+DVwHvF3SZNLqlocVGZSZmRWroXdQVtDtFUxE3Ah8nJRULgPGRMTNxYZlZmbw+pyJD0malOfUmyxpb0m3Kc0luJOkVqU5GO9RmgNwv3xsi6RfKc1t+GugpaTe1+dnlPQbpTn8HsgzjzRExSsYSdt3KXo6/xwpaWREzG5UEGarg5bWFjqmLyqkXhv0/p10U1EbcA9pFvLdgH2B/yE9n/fHiPhs7va6W9IfSItELomIbSRtA1T63v5sRCzMwyH3SLqyEbNdVOsi+3GV94IV07SYGfhhSCvSY13mWLypZP7FUcDbgH0ldd7xuhZpAto9gDMAIqLaWl4TJe2ft99OmgOxuAQTEWN7W7mZmTVE1zkWS+dfXIM0R+AnIuLh0oPyDb9Vn6aXtBdpJpFdImKJpJtJCarXqnWRfbzagRFxVSMCMDOzXrseOEbSMfnKZruImEOavmk8MF3SVqTlQroaAbyQk8sWwHsaFVS1LrKPVnkvyNOem5lZ030P+CkwLz+nuIC0KvE5wIW5a2wuafLerq4Djsr7PAzc2aigPBeZWTdqnYuMbroibNAbdA+od3ubsqQNJf1c0u/z6y0lfa740MzMbCCr5UHLi0jzkX0zv/4z8Gvg5wXFZDYgXXLpZDqWVFxPbRUtw1uZcOj4AiMya65aEsz6ETFF0jfg9ZUllxUcl9mA07HkZdYbvX/3O2YL53rFB1u91TIX2cuS3syKucjeQ40LbpmZ2eBVyxXMV4CrgU0l3QZsABxQaFRmZjbgdZtgImK2pD2Bd5Hugng4Il4tPDIzMxvQalnR8tNdiraXRET8oqCYzMysAHm446b88t9IMwD8I7/+WkRcX7LvscDmEfFFSRsATwFfiojzam2vli6yHUu21wLeT5owzQnGzKwX2s+f9Hdi+YYNq1BDnmk78oh/q/R2nsByNICkE4HFEXGqpM8Dh5BmBOh0CPDVvH0g6QHMTwKNSzBdl6eVNIJVl/A1M7N6xfIN67nzsDsL507tabK6AvhfScMiYqmkUcBGwK35/U8C/wX8UtLGEfG3Wiqt5QqmqyWkmTbNrMRQlb/1eAjB8jIPcbcMb+2LsMy6FRHPS7ob+BDwW9LVy6/zvGZvB/4tIu6WNAU4GPhJLfXWMgZzDSumwBgCbAlc3oNzMFutLQs4aOSqq4lPeWIYbW0NW8PJrCiXkRJLZ4L5bC4/BJiSt39Fesi+MQkGOLVk+zXg8Yh4spbKV2eSdgfOBV4lTXPd0aQ4xgCfjoiJedrtVyLi9vzeRcC1EXFFA9vbCzg+Ij4i6TDSCqdfknQUaWEjj82ZDUy/AX6SF5tsKVlU8pPAhpI6p53YSNJmEfFIdxXWkmDGRcTXSgskndK1bBAaD5waERc2M4iImAXMyi/3AhYDt/emTklDI6Ku2Roi4tzetGlmzRURi/NaMBeQrmaQ9C6gNSI27txP0ndIVzXf667OWp7k/0CZsg/XEvDqStIRwEHACXl97LUl3SRptqT5neth530/ndfDvk/SJblsA0lX5vWz75G0a5W25kt6o5LnO28bl3RJXpd7L0nX5kG5o4DjJM3NV1gAe0i6XdKjkio+IJvrmS7pl8B8SWtJujC3P0dS1QXoJJ3YuZqepJslnSLpbkl/7oxF0nBJUzrXB5d0V74Cq1TnPpLuyJ/r5flzfr+kqSX7fEDSVZX2z+UnS3owt3tqpfbMjMuAbUldYZCuXroOLF6Zy7tVbcGxLwBfJD3BX7rM5jr08jfkgUzSNOAI0nrY10bEFZLWAPaPiEWS1gfulHQ1abzqm8CuEfGcpPVyNacDp0XErZJGkm4N/I8KTd4G7Ao8DjwK7E66Rfw9wBeAMQARsUDSueTbDnOsnwPemmPdgjQjQ7Xusp2ArSLiMUn/levdWmkRohskbV7HR7VGROwkaRzwbdKKeV8kLWy0jdLiR3MrHZw/x28Be0fEy5K+RppV4nvA2ZI2iIh/AIeT1rsou7+ks4D9gS3ygOUbc/37krr3TqjQfhtp/XOA9es4b7Paacgzvbjzq2x9te4aESeWKZtKybICFfaZR/pu61a1LrJfAr8HfgB8vaT8pYhYWEvlq6OIGAevL0XaScD3Je1BWsJ0Y2BD4H3AFRHxXD6283PbG9iypI51Ja0TES+VaXImaV3tx0mLB7VJ2hhYmC9puwv5NxGxHHhQUnf/kO+OiMfy9m7AmTnuhyQ9DtSTYDoXpLuXtGZ4Z52n5zrvV+X1wSEl0C2B2/I5vgG4IyeJS4BDJV0I7AJ8mnT3yyr7A4uAfwGTJP0OuDa3fzUp4ZYVEe1AO6T1YOo4b7OaVXtmZXVQMcFExIvAi5J+HhGPl74n6TMRcXHh0Q0c40lztO0QEa9KWkB6KFWUX4RqCLXfGDADOBoYSboa2p80F9zMGmMrva2pu2xUOtd8bxdH6mx3GSv+ndVTp4AbI6LcpfiFwDWkxHF5nuG74v6SdiI9IHwI8CVS4jezgtUyBnOCpHMktSotPnYN1ZdTHoxGAM/m5DIW2CSX3wQcpDQ9AyVdZDeQvujI5aMrVRwR/0fqotksIh4lPfh0POUTzEukLsxG6FzLm9w1NpK0nGpv3Eoau0LSlsDWVfa9E9hV0r/n/Yd3dtFFxFOkaSu+RVqvqOL+eRxmRERMA44lP8VsZsWr5S6yPUlPcM7Nr0+IiMsKi6ifKxmDKTUZuCZ3pcwFHgKIiAcknQTcorSGzhzgMGAiaRxhHunvYAZpgL6Su4CheXsmqdvy1jL7XQNcoXSTwTFl3q/Hz4BzJc0n3Z5+WH7Ct7d1XpzPew4wjwpLP0TEP5Rug75M0rBc/C3SgneQPvMNIuLBbvZ/CfitpM4ryuOg+zGYHhkipjwxrGy52WCkiOrLiOffus8j/Wb8NuBS4JTo7kCzLiQNBdaMiH9J2pR0hbd5RLzSg7rOAuZEROErq0qaFREV73br1N7eHjF23VWPn77ID1oa9L7becCppYvsTuD3EfEh0sSXG5HubDKr13DgVkn3kW59/EIPk8u9wDakX3bMrJ+qpYts74h4AiAPSk/Md0tZA0k6HPhyl+LbIuLoBrezNatOVro0InZuZDvl5LvkVrkSkHQX0LVvaUJEzK9Qzw4FhGc2KOTu+vmk7//HSP/X/pnfO540BPAa6QadH/dmdo5aEsxzkv4fMDIijpS0GbBqP4D1Sp4RoPBZAfKX9uii26lHXyQ3s/5o0vnn/X15dPv4QM2GKJ454sjPd3frc0dEjAaQdDHpLtWTlKZ7+gCwU36mbwTwsd7EU0uCuZD0LMMu+fWTpMkur+1Nw2Zmg93y0IblJkjtqSlPDKs3Wd1B6m4G+B9gbEQsgtcfVenV4yi1jMFsGhE/JE3q2NlNNugGq8zMVif5ppv3A1dLWgdYJyL+2sg2akkwr0hqIT8wmO/+aVzKNTOzvtQiaS7wPLAecCOVHwrvlVoSzInAdcDbJU0m3Vo62GdSNjMbqDrHYDYhTal0dO4We1nSOxvZUC1LJt+Qbwt9DynLfblzbi0zW6GltYWO6YvKlpv1NxHxoqSJpAeRzyE9wH22pIPzIP+6wCF5Xr4eqWVFy5si4v3A78qUmVk2YfyEZodgVpeImJOfSzuENJnu2sA9kl4ljbv/uDf1V5uufy3Sg3HrS3oTKwb21yU9bGlmZr0wRPFMD+78qlpfd/tExNpdXpfOLfnD/KchKk4VI+nLpMkBNwL+xooEswg4PyLOalQQZv1ZrVPFUMAgqa1WBt3dt7XMRXZMRJzZR/GY9TtOMNYggy7BdHsXmZOLmZn1RC1P8ptZDS65dDIdS16uuk/L8FYmHDq+jyIyay4nGLMG6VjyMuuN3r/qPgvnTu2jaMyar9suMiWHSjohvx6Zl6A1MzOrqJYn+X9Gmuiyc63zl4CzC4vIzMwKI2mZpLklf0ZJ2kvStSX7fEjS3ZIeyvv8WtLIetuqpYts54jYXtIcgIh4QdIb6m3IzMxWdt6k9r9rOQ17DiaG8Mznj2irebr+TpJGlWxvBZwJ7BsRf8pl+wKjgCfqiaeWBPNqnnWzc7LLDYDl9TRiZmar0nI2LLfMdo/rm76oEcnqa8D3O5MLQERc3ZOKaukiO4O0vO1bJJ0E3Ap8vyeNmZlZ07WUdI+Vu+vk3cDsRjRUy2SXk/Nkl+8nPSj0sdLMZmZmA8oqXWSVSHozaQb94UB7RJxaT0O1XMEAPAPMBG4nZb/t62nEzMwGjAeA7QEi4vmcjNpJE2HWpZbZlL8HHAb8lRVTYQTwvnobM1udDVV6zmUIwfIKs4K0DG/t46jM6vZDYKqkO0t6q4b3pKJaBvkPIi2b/EpPGpC0ABjTV2vISPouMCMi/tDAOicCXwBmR0TTHsOWdBSwJCJ+Iekw4IaIeCq/t4A++Jy7xHARcG1EXCFpEvCTiHiwyPb7s2UBB41cypQnhtHW1tbscMx6JCLm58mOf5GXUn6edPfYt+utq5YEcz/wRuDZeitvhog4oYBqvwh8OCIeK6DumkXEuSUvDyP93TzVxBhKy4/oyzjMVgcxhGcadOfX6/V1u0+X6fpz2c3AzSWvf0fJGmA9VUuC+QEwR9L9wNKSAPato52vShqbtz8VEX/JtzufC3Q+vHNsRNyWZwn4KdACdACHR8TD+Tf2jwFDga1IC+G8AZiQ4xoXEQu7/Fa9ALgY+CiwJnBgRDyU2/4l8GbgHuBDwA7lfvuXdC7wTuBqSRcAt1WIbyhwCvBBUhfi+RFxpqQdgJ+Q+i+fAw6LiKfLtPMW4PcRsYOkbYG5wCYR8YSkvwJbA/8NLAYWAGOAyZI6SA/CAhwjaaVzLfeXIWlP4PT8MoA9gB2A75DG20YDVwHzgS/nc/1YRPxV0onA4q6DfZJuBo6PiFmSFuf6P5I/o/0i4hlJmwKTSX+Hvwe+Uu4fe0mdXyVdQQ8DpkbEt3OX7XMRcXre5yTgmYg4o8L+rcAU4G253e9FxK8rtWnWl2p4ZmVAq2WQ/2LSF+fJpC/1zj9VSZomqXNhskURsRNwFunLGdIX0GkRsSPwCWBSLn8I2CMitgNOYOVborcCPgXsBJxE6qrZDrgD+HSFUJ6LiO1Jq7Udn8u+Dfwxl09lRZJbRUQcRbpKGBsRp1WJrw14B7BdRGxD+vJfk/TA0gERsQNwQY67XDvPAmvlZUp3B2YBu0vaBHg2IpaU7HtFfn98RIyOiI4q51rO8aR1uEfntjqP35aUULYmJe7N89/bJOCYKvV11QrcGRHbAjOAI3P56cDp+e+86pWXpH2AzUh/16OBHSTtAfwc+EzeZwhpJb7JVfb/EPBURGwbEVsB1+Vjv5sfHqvUfpukWZJmAevXce5mltVyBfNcRJxRb8URMQ5AEsBlufgy4LS8vTewZX4fYN3c3zcCuFjSZqTfrtcsqXZ6RLwEvCTpReCaXD4f2KZCKFfln/cCH8/buwH75zivk/RCHadWKb69gXMj4rVc78L8ROxWwI35PIcCq1y9lLgd2JV0RfF90pejSHfw1aLcuZZzG/ATSZOBqyLiyRzfPZ1XV/mq6Ya8/3xgbNmaynsF6Jx24l7gA3l7F9JVKKQryGq3PO6T/8zJr9cGNouIGZKel7QdsCEwJyKezwlmlf1Jn92pkk4hXdnOhO67UvM65O2Q1oPp9ozNbBW1JJh7Jf0AuJqVu8jqeRAnymwPAXYp+e0bAElnkhLJ/nn6gptL3l5asr285PVyKp9L5z7LSvbpzcI/36sQn1h1wSkBD0TELtRmJumKYhPgt6QnaoMVX9bdKXeuq4iIkyX9DhgH3Clp7y7HQ+2fbzmvxoqV7KrGUoWAH0TEeWXem0Qag/o30lVh1f1zN+U44AeSboiI7/YgHjOrUy1dZNsB7yH9Rt3ZPVbXwzbAwSU/78jbNwBf6txB0ui8OYK0RDOkL5Ei3Erqq+/sinlTHcdWiu8G4ChJa+R61wMeBjaQtEsuW1PSu6vUPQM4FHgkIpYDC0lfjLeV2fclYJ064n6dpE0jYn5EnELqatuiJ/X0wJ2k7lBIXVvVXA98VtLaAJI2zuNUkLo1PwTsmPeruH/upl0SEZeS/t36GS6zPlL1N8s8cH11Hnuoi6RpQOedRcMk3UVKaJ2zMk8EzpY0L8cxAziKdA/2xZK+Avyx3nZr9B3gMkkHA7eQuq1eqvHYSvFNAjYH5kl6lTTIf5akA4AzJI0gnedPSQ8yrSIiFuSuqhm56FbgbRFRrgvvIuDcLoP8tTo233SxDHiQNOBebx09cSxwqaT/It2h8mKlHSPiBkn/AdyRP5PFpOT7bES8Imk68M+IWNbN/v8O/EjScuBV0u3mnbezz+rpHEtlDRFTnhgGQHt7e02HtLS2MGH8hIaFYNafaEVPRoUdpOkRUU//e78naRiwLCJey1cX59Q6dYL1nKThpGkqQtIhwCcjYr8e1DOENFfSgRHxSKPjLNPerIgY091+7e3tUe/EhZq+yM/MDB696ZofkGrpG79d0lnAr4HX14OtcwymvxkJTMlfVK+w4i4nK9YOwFlKlxj/BD5bbwWStiSNSU3ti+RiZj1XS4J5b/5ZOjA6oKeKyV9M25WWacWkbl29PyKeb2T7ks4m3S1W6vSIuLDB7RxOuu241G0RcXQj26lVvoNr29IySVsDl3TZdWlE7FyhjgdJzyWZWT9Xy2zKq1X3WCU5iYzuo7b65As+J6yGJq1Gi4j59NHnbmZ9q9u7yCSNkPSTzofOJP04D1ibmZlVVMttyheQ7rA6KP9ZRD//rdjMzJqvljGYTSPiEyWvvyNpbkHxmJnZaqKWK5gOSbt1vpC0KyvmrjIzMyurliuYo0jrAnSOu7xAnmzQzFZoaW2hY/qiuo8xW11VfNBS0siIeKLk9boAEVHf/yCzAa7WBy1ZdS46s1KD7kHLal1kv+nckHRlRCxycjEzs1pVSzCl2dYPtpmZWV2qJZhyU+ybmZnVpNog/7aSFpGuZFryNvl1RER9s/qZmdmgUm1RqqF9GYjZQHfJpZPpWPJy9zsCLcNbmXDo+IIjMmuunqw0aGZldCx5mfVG71/TvgvnTi04GrPmq+VBSzMzs7o5wZiZWSGcYMzMrBBOMGZmVggnGDMzK4QTjJmZFcIJxszMCuHnYMwaZKhWPN8yhGB5lclzW4a39lVYZk3jBFOFpDHApyNiYg+P/y4wIyL+0MCYJgJfAGZHRNMeBZd0FLAkIn4h6TDghoh4Kr+3ABgTEc81K76uJB0LtEfEkqLaWBZw0MilAEx5YhhtbW1FNWU2IDjBVCBpjYiYBczqaR0RcUIDQ+r0ReDDEfFYAXXXLCLOLXl5GHA/8FRzoqnJscClQGEJxsxWNijHYCSNk/SQpFslnSHp2lx+oqR2STeQVvHcq8t7F0i6WdKj+UoCSaMk/UnS+ZIekHSDpJb83kWSDsjbCyR9R9JsSfMlbZHLN5B0Yy4/T9LjktavEPe5pKUTrpZ0nKSdJN0uaU7++a6831BJp+Z25kk6JpfvIOkWSfdKul7SWyu08xZJ9+btbSWFpJH59V8lDc+fx/H5/MYAkyXN7Tx34Jiu51qhrT3zcXPzeawj6WeS9s3vT5V0Qd7+nKT/zduHSro7H3eepKG5/BxJs/LfxXdy2URgI2C6pOnV/3WYWaMMqgQjaZqkjYDzSFcBuwEbdNltB2C/iPhUmSq2AD4I7AR8W9KauXwz4OyIeDfwT+ATFUJ4LiK2B84Bjs9l3wb+mMunAiMrxR8RR5GuEsZGxGnAQ8AeEbEdcALw/bxrG/AOYLuI2Ib05b8mcCZwQETsAFwAnFShnWeBtfIqpruTruJ2l7QJ8GxpN1NEXJHfHx8RoyOio8q5lnM8cHREjM5tdQAz8jbAxsCWeXs3YKak/wAOBnbNxy0DOrsLv5lXn9wG2FPSNhFxRsnnNhZA0qTcBVqWpLacqGYBZRO+mVU3qLrIImKcpNHAoyVdTJeRvpA7XV3yJdnV7yJiKbBU0rPAhrn8sYiYm7fvBUZVOP6qkn0+nrd3A/bP8V0n6YXaz4gRwMWSNiOt2dOZ8PYGzo2I13K9CyVtBWwF3CgJYCjwdJW6bwd2BfYgJa4PkZZqmFljbOXOtZzbgJ9ImgxcFRFPSpoJHCtpS+BB4E35amsXYCLwGdIvAvfkc2kBns31HSSpjfRv+62k5DSva6MRcUS14COiHWiHtGRy96drZl0NqgSTdbcudrX51peWbC9jxefXtbyF8paW7NN5bG/W6f4eMD0i9pc0Cri5pM6ui8QJeCAidqmx7pmkq4hNgN8CX8t1Xlvj8eXOdRURcbKk3wHjgDsl7R0RD0l6EympzQDWAw4CFkfES0pZ5eKI+MZKJyi9g3RFtGNEvCDpImCtGuM1swYbVF1k2UPAO/MXMqSulma6lfTliaR9gDfVcewI4G95+7CS8huAoyStketdD3gY2EDSLrlsTUnvrlL3DOBQ4JGIWA4sJCWB28rs+xKwTh1xv07SphExPyJOIXW1dY7X3EEamJ9BSnbHs+Lq6SbgAElv6Ty/3H23LukXhBclbQh8uBExmlnPDKorGEnTgCNId2JdJ+k54O7mRsV3gMskHQzcQuq2eqnGY39I6iL7CvDHkvJJwObAPEmvAudHxFl5QP4MSSNIf/c/BR4oV3FELMjdTzNy0a3A2yKiXBfeRcC5kjpI3Vj1OFbSWNKVzoPA73P5TGCfiPiLpMdJVzEzc2wPSvoWcIOkIcCrpHGcOyXNyef0KCsnw3bg95KejoixkiaRuhEb1/01REx5YtiKBtvbV3q7pbWFCeMnNKw5s/5OEV17UlZ/ktaOiMW5q+Vs0m/ppzUplmHAsoh4LV9dnJMHrq2fkDQr3zhQVXt7e8TYyiuJa/oiPxszuPWmO3xAGlRXMCWOlPQZ4A3AHNJdZc0yEpiSfxN/BTiyibGYmTXMoEww+WqlKVcsXUXEI8B2pWWS3kwaZ+jq/RHxfCPbl3Q26W6xUqdHxIUNbudw4Mtdim+LiKMb2Y6Z9R+DMsH0dzmJjO6jtvrkCz4nrIYmLTPr3wbjXWRmZtYHnGDMzKwQTjBmZlYIJxgzMyuEB/nNGqSltYWO6Yuqvm82mAzKBy3N6lHrg5asOv+bWalB96Clu8jMzKwQTjBmZlYIJxgzMyuEE4yZmRXCd5GZNcgll06mY0nl9epahrcy4dDxFd83W904wZg1SMeSl1lv9P4V3184d2ofRmPWfO4iMzOzQjjBmJlZIZxgzMysEE4wZmZWCCcYMzMrhBOMmZkVwgnGzMwK4edgzBpkqFZ+1mUIwfKSCXRbhrc2IyyzpnGCsYokHQu0R8SS/HpxRKxdQDsXAddGxBWNrrsvLQs4aOTS119PeWIYbW1tTYzIrLncRWbVHAsMb3YQZjYwOcFYWZImAhsB0yVNLyk/SdJ9ku6UtGEuu0jSASX7LM4/95J0i6Qpkv4s6WRJ4yXdLWm+pE1Lmtxb0sy830fy8e/O+86VNE/SZhViHSXp/pLXx0s6MW/fLOmnkm6XdL+knRr3KZlZNU4wtgpJ04ArgKeAsRExNr/VCtwZEdsCM4Aja6huW+DLwNbABGDziNgJmAQcU7LfKGBP4D+BcyWtBRwFnB4Ro4ExwJM9PKXWiHgv8EXggnyOYyRNqnSApDZJsyTNAtbvYbtmg5oTjK0iIsZFxFNl3noFuDZv30tKCt25JyKejoilwF+BG3L5/C7HT4mI5RHxCPAosAVwB/A/kr4GbBIRHXWfTHIZQETMANaV9MaImBURR1Q6ICLaI2JMXir5uR62azaoOcFYPV6NiM5155ex4iaR18j/liQJeEPJMUtLtpeXvF7OyjeZdF3PPiLil8C+QAdwvaT3VYjr9faztbrW1c1rMyuAE4xV8xKwTg37LQB2yNv7AWv2oK0DJQ3J4zLvBB6W9E7g0Yg4A7ga2KbCsc8Ab5H0ZknDgI90ef9gAEm7AS9GxIs9iM/M6uTblG0VeQzmCKAd+L2kp0vGYco5H/itpLuBm4DKq25V9jBwC7AhcFRE/EvSwcChkl4F/g58t9yBEfGqpO8CdwGPAQ912eUFSbcD6wKfzec4JrdTsZusbkPElCeGrVTU3t7++nZLawsTxk9oWHNm/Z1W9HiYrX4k3QwcHxGzelHHrDwWU1V7e3vE2HUr1zN9kZ+LGdzU/S6rF3eRmZlZIdxFZgOGpDeTuuC6en9EPF/umIjYq9CgzKwiJxgbMHISGd3sOMysNu4iMzOzQjjBmJlZIZxgzMysEE4wZmZWCA/ymzVIS2sLHdMXVX3fbDDxg5Zm3aj1QUs8x5lV5wctzczMGsEJxszMCuEEY2ZmhXCCMTOzQvguMrMGueTSyXQsWXWlgpbhrUw4dHwTIjJrLicYswbpWPIy643ef5XyhXOnNiEas+ZzF5mZmRXCCcbMzArhBGNmZoVwgjEzs0I4wZiZWSGcYMzMrBBOMGZmVgg/B2PWIEMF/5x7Fcu7TJrbMry1SRGZNZcTjPWKpFHAeyPil/n1GODTETGxgW1sAfyKNB3+ARHx10bV3UjLAkC0tbU1OxSzfsFdZNZbo4BPdb6IiFmNTC7Zx4DfRsR2/TW5mNmqnGAGKUkLJJ0i6e78599z+SaSbpI0L/8cmcsvknRAyfGL8+bJwO6S5ko6TtJekq7N+5wo6QJJN0t6VNLEkuP/n6SHJN0o6TJJx1eIcxxwLHCEpOm57DeS7pX0gKS2kn0/JGm2pPsk3ZTLWnMM90iaI2m/Bn6MZlaFE8wgI2mapI3yy0URsRNwFvDTXHYW8IuI2AaYDJzRTZVfB2ZGxOiIOK3M+1sAHwR2Ar4tac3cjfYJYDvg40DF1SIjYhpwLnBaRIzNxZ+NiB3ycRMlvVnSBsD5wCciYlvgwLzvN4E/RsSOwFjgRznpbCRpWqV2JbVJmiVpFrBWN5+BmZXhMZhBJiLGAUgCuCwXXwZ0JoddSF/6AJcAP+xlk7+LiKXAUknPAhsCu5G6vDpyLNfUWedESZ2zSr4d2AzYAJgREY8BRMTC/P4+wL4lV0hrASMj4k/AuEoNREQ70F5nXGZWwglmcIsK2+X2eY18xauUnd5QYxtLS7aXkf7N9Xhtckl7AXsDu0TEEkk3k5KGKH8OIl3VPNzTNs2sZ9xFNrgdXPLzjrx9O3BI3h4P3Jq3FwA75O39gDXz9kvAOnW2eyvwUUlrSVob+M86jh0BvJCTyxbAe3L5HcCekt4BIGm9XH49cExOikjars5YzayHnGAGmS5jMMMk3QV8GTgul00EDpc0D5iQ34M0vrGnpLuBnYHOlbXmAa/lgfXOOqqKiHuAq4H7gKuAWcCLNZ7CdcAaOb7vAXfmOv8BtAFXSboP+HXe/3ukZDhP0v35Nd2NwZhZ7ymiUs+Irc4kLQDGRMRzTWp/7YhYLGk4MANoi4jZzYilUdonnR8sr+3/U0trCxPGTyg4Iutnetw1PFB5DMaapV3SlqTxk4sHenIBYHkQY9etadeO6YsKDsas+ZxgBqmIGNXk9j/VtUzS2cCuXYpPj4gL+yYqM2skJxjrNyLi6GbHYGaN40F+MzMrhBOMmZkVwgnGzMwK4QRjZmaF8CC/WYO0tLbUfPtxS2tLwdGYNZ8ftDRrHP9nsmoG3YOW7iIzM7NCuIvMrHEG3W+oZtX4CsbMzArhBGNmZoVwgjEzs0I4wZiZWSGcYMzMrBBOMGZmVggnGDMzK4QTjJmZFcIJxszMCuEn+c0aRNL9wL+aHUcvrA881+wgemmtiNiq2UFY4gRj1jj/iogxzQ6ipyTNGsjxQzqHZsdgK7iLzMzMCuEEY2ZmhXCCMWuc9mYH0EsDPX5YPc5hteEFx8zMrBC+gjEzs0I4wZiZWSGcYMx6SdKHJD0s6S+Svt7seCqR9HZJ0yX9SdIDkr6cy9eTdKOkR/LPN5Uc8418Xg9L+mDzol9B0lBJcyRdm18PqPgHEycYs16QNBQ4G/gwsCXwSUlbNjeqil4D/isi/gN4D3B0jvXrwE0RsRlwU35Nfu8Q4N3Ah4Cf5fNtti8Dfyp5PdDiHzScYMx6ZyfgLxHxaES8AvwK2K/JMZUVEU9HxOy8/RLpS3pjUrwX590uBj6Wt/cDfhURSyPiMeAvpPNtGklvA/4TmFRSPGDiH2ycYMx6Z2Pg/0peP5nL+jVJo4DtgLuADSPiaUhJCHhL3q0/nttPgf8GlpeUDaT4BxUnGLPeUZmyfn3vv6S1gSuBYyNiUbVdy5Q17dwkfQR4NiLurfWQMmX9+u9mdeO5yMx650ng7SWv3wY81aRYuiVpTVJymRwRV+XiZyS9NSKelvRW4Nlc3t/ObVdgX0njgLWAdSVdysCJf9DxFYxZ79wDbCbpHZLeQBpUvrrJMZUlScDPgT9FxE9K3roa+Eze/gzw25LyQyQNk/QOYDPg7r6Kt6uI+EZEvC0iRpE+5z9GxKEMkPgHI1/BmPVCRLwm6UvA9cBQ4IKIeKDJYVWyKzABmC9pbi77H+BkYIqkzwFPAAcCRMQDkqYAD5LuQDs6Ipb1edTdG+jxr7Y8VYyZmRXCXWRmZlYIJxgzMyuEE4yZmRXCCcbMzArhBGNmVUn6T0lbNzsOG3icYMwGIUnLJM0t+TOqwn4fAvYE7u/TAG214NuUzQYhSYsjYu0K74n03bC83PtmtfIVjJkhaVReJ+ZnwGzg7ZK+KukeSfMkfadk32/m9VX+IOkyScfn8psljcnb60takLeHSvpRSV2fz+V75WOukPSQpMk5uSFpR0m3S7pP0t2S1qlUj/VffpLfbHBqKXma/zHgOOBdwOER8UVJ+5CmVtmJNGnk1ZL2AF4mTdOyHen7YzbQ3eSTnwNejIgdJQ0DbpN0Q35vO9J6LU8BtwG7Srob+DVwcETcI2ldoKNSPXkqfuuHnGDMBqeOiBjd+SKPwTweEXfmon3ynzn59dqkhLMOMDUiluTjapl3bR9gG0kH5Ncjcl2vAHdHxJO5rrnAKOBF4OmIuAegc8bnnPTK1eME0085wZhZp5dLtgX8ICLOK91B0rFUnvL+NVZ0u6/Vpa5jIuL6LnXtBSwtKVpG+k5ShTbK1mP9l8dgzKyc64HP5rVjkLSxpLcAM4D9JbVIWgf4aMkxC4Ad8vYBXer6Ql4qAEmbS2qt0vZDwEaSdsz7ryNpjR7UY03mKxgzW0VE3CDpP4A78rj7YuDQiJgt6dfAXOBxYGbJYaeSZjWeAPyxpHwSqetrdh7E/wcrljUu1/Yrkg4GzpTUQhp/2bveeqz5fJuymfWYpBOBxRFxarNjsf7HXWRmZlYIX8GYmVkhfAVjZmaFcIIxM7NCOMGYmVkhnGDMzKwQTjBmZlYIJxgzMyvE/wctNyrH4IBuyAAAAABJRU5ErkJggg==\n", 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" + "
" ] }, "metadata": { @@ -561,7 +561,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 38, "metadata": {}, "outputs": [], "source": [ @@ -570,12 +570,12 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 39, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -605,7 +605,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 40, "metadata": {}, "outputs": [], "source": [ @@ -615,7 +615,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 41, "metadata": {}, "outputs": [], "source": [ @@ -624,7 +624,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 42, "metadata": {}, "outputs": [], "source": [ @@ -636,7 +636,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 43, "metadata": {}, "outputs": [], "source": [ @@ -646,12 +646,12 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 44, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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JRwJrgf2ACyJiZskjMzOzqpFn6CwRMVPSQ/XbS+oeES+VNDIzM6saeUZDfUnSC8BCYB7ZHFHzcuzXUdJcSY9KWiLp4lTeXdJMScvTc7eCfSZKWiFpmaSjCsoPkbQovXalJDVWp5mZlUaePotzgX4R0TsiPhARfSLiAzn220B2bcaBwEHACElDgfOBWRHRF5iV1pF0ADAa6AeMAK6W1D4d6yfAeKBveniuKjOzMsqTLP5BdiFes0Tm1bTaIT0COA64PpVfD4xMy8cB09KtW58EVgBDJO0JdI2IB9KorBsK9jEzszLI02cxkWwywYcomKI8Is4stmM6M5gPfBC4KiIekrRHRDyXjvGcpN3T5j2BBwt2r0tlb6XlhuVmZlYmeZLFz4B7gUXA2805eERsAg6StCtwm6T+TWzeWD9ENFG+5QGk8WTNVeyzzz7NCdXMzJqQJ1lsjIiz30slEfGypDlkfQ0vSNoznVXsCaxKm9WRzUFVrxewMpX3aqS8sXqmAFMABg8e3GhCMTOz5svTZzFb0nhJe6aRTN0ldS+2k6Qe6YwCSZ2ATwCPAzOAcWmzcWR34iOVj5a0o6Q+ZB3Zc1OT1TpJQ9MoqLEF+5iZWRnkObP4THqeWFAWQLERUXsC16d+i3bA9Ii4U9IDZFeFfwF4GjgRICKWSJoOPAZsBE5PzVgAE4DrgE7AXelhZmZlkucK7j7bcuCIWAgc3Ej5GmD4Vva5FLi0kfJ5QFP9HWZmVkJFk0U6MzgG6F24fUR8v3RhmZlZNcnTDHUH8AbbMBrKzMy2D3mSRS/fb9vMrG3LMxrqLkmfLHkkZmZWtfKcWTxIdkFdO7KrqUU2m0fXkkZmZmZVI0+y+B7wEWBRmpvJzMzamDzNUMuBxU4UZmZtV54zi+eAOZLu4t0TCXrorJlZG5EnWTyZHu9LDzMza2PyXMFdf4e7Ltnq5ntUmJlZG5Hntqr9JT0CLAaWSJovqV/pQzMzs2qRp4N7CnB2RLw/It4PnAP8vLRhmZlZNcmTLHaKiNn1KxExB9ipZBGZmVnVydPB/YSkScCv0vqpZB3eZmbWRuRJFqcBFwO/Tev3AZ8vWUQV8vQlA4pv1M0XrZtZ25RnNNQ/gTPLEIuZmVWpPKOhZtbfHjWtd5P0x5JGZWZmVSVPB/duEfFy/Uo609i9ZBGZmVnVyZMs3pa0T/2KpPeT3YPbzMzaiDwd3N8E/iLp/9L64cD40oVkZmbVJk8H992SBgFDye5lcVZEvFjyyMzMrGrkObMgJYc7SxyLmZlVqTx9FmZm1sY5WZiZWVG5koWkj0n6fFruIalPacMyM7NqkueivAuBrwMTU1EH4MZSBmVmZtUlz5nFKOBY4DWAiFgJdCllUGZmVl3yJIs3IyJIF+JJ8vTkZmZtTJ5kMV3Sz4BdJf0ncA+++ZGZWZuS56K8yZKOBNYC+wEXRMTMkkdmZmZVI+9FeTMBJwgzszZqq8lC0jqamDAwInwnIDOzNmKrySIiugBIugR4nuy2qgJOwaOhzMzalDwd3EdFxNURsS4i1kbET4DjSx2YmZlVjzzJYpOkUyS1l9RO0inApmI7Sdpb0mxJSyUtkfTVVN493X1veXruVrDPREkrJC2TdFRB+SGSFqXXrpSkbXmzZma2bfIki88AJwEvpMeJqayYjcA5EfFhsunNT5d0AHA+MCsi+gKz0jrptdFAP2AEcLWk9ulYPyG7h0bf9BiR692ZmVmLyDN0thY4rrkHjojngOfS8jpJS4Ge6VjD0mbXA3PIphM5DpgWERuAJyWtAIZIqgW6RsQDAJJuAEYCdzU3JjMz2zZlmXVWUm/gYOAhYI+USOoTSv39vHsCzxTsVpfKeqblhuWN1TNe0jxJ81avXt2i78HMrC0rebKQtDNwK/C1iFjb1KaNlEUT5VsWRkyJiMERMbhHjx7ND9bMzBpV0mQhqQNZorgpIn6bil+QtGd6fU9gVSqvA/Yu2L0XsDKV92qk3MzMyiTPFOV7SPqFpLvS+gGSvpBjPwG/AJZGxPcLXpoBjEvL44DbC8pHS9ox3S+jLzA3NVWtkzQ0HXNswT5mZlYGec4srgP+COyV1v8OfC3HfocBnwWOkLQgPY4GLgOOlLQcODKtExFLgOnAY8DdwOkRUT9EdwJwDbAC+Afu3DYzK6s8c0PtFhHTJU0EiIiNkopeZxERf6Hx/gaA4VvZ51Lg0kbK5wH9c8RqZmYlkOfM4jVJNbxzP4uhwCsljcrMzKpKnjOLs8n6E/aVdD/QAzihpFGZmVlVaTJZpCuo/y099iNrVloWEW+VITYzM6sSTTZDpQ7m4yJiY0QsiYjFThRmZm1Pnmao+yX9GLgZeK2+MCIeLllUZmZWVfIki4+m50sKygI4ouXDMTOzapRnIsGPlyMQMzOrXnmu4K5J95B4WNJ8ST9MQ2nNzKyNyHOdxTRgNdnd8U5IyzeXMigzM6suefosukfEtwrWvy1pZIniMTOzKpTnzGK2pNHplqrtJJ0E/L7UgZmZWfXY6pmFpHW8cz+Js4Eb00vtgFeBC0senZmZVYWtJouI6FLOQMzMrHrl6bNA0kCgd+H2BTczMjOz7VzRZCHpWmAgsAR4OxUH4GRhZtZG5DmzGBoRB5Q8EjMzq1p5RkM9IMnJwsysDctzZnE9WcJ4HthANjoqImJgSSMzM7OqkSdZXEt2L+1FvNNnYWZmbUieZPF0RMwoeSRmZla18iSLxyX9GriDrBkK8NBZM7O2JE+y6ESWJD5ZUOahs2ZmbUie+1l8vhyBmJlZ9cpzP4tekm6TtErSC5JuldSrHMGZmVl1yHOdxS+BGcBeQE+yvotfljIoMzOrLnmSRY+I+GVEbEyP64AeJY7LzMyqSJ5k8aKkUyW1T49TgTWlDszMzKpHnmRxGnAS8DzwHNmtVU8rZVBmZlZd8oyGeho4tgyxmJlZlWrqTnkXNLFfNLgvt5mZbceaOrN4rZGynYAvADWAk4WZWRvR1G1Vv1e/LKkL8FXg88A04Htb28/MzLY/TfZZSOoOnA2cQjZV+aCI+Gc5AjMzs+qx1dFQkq4A/gasAwZExEXNSRSSrk1XfS8uKOsuaaak5em5W8FrEyWtkLRM0lEF5YdIWpReu1KSmv0uzczsPWlq6Ow5ZFdt/zewUtLa9FgnaW2OY18HjGhQdj4wKyL6ArPSOulOfKOBfmmfqyW1T/v8BBgP9E2Phsc0M7MS22qyiIh2EdEpIrpERNeCR5eI6FrswBFxH/BSg+LjyJqzSM8jC8qnRcSGiHgSWAEMkbQn0DUiHoiIAG4o2MfMzMokz0V5LWmPiHgOID3vnsp7As8UbFeXynqm5YbljZI0XtI8SfNWr17dooGbmbVl5U4WW9NYP0Q0Ud6oiJgSEYMjYnCPHp6+ysyspZQ7WbyQmpZIz6tSeR2wd8F2vYCVqbxXI+VmZlZG5U4WM4BxaXkccHtB+WhJO0rqQ9aRPTc1Va2TNDSNghpbsI+ZmZVJntuqbhNJU4FhwG6S6oALgcuA6ZK+ADwNnAgQEUskTQceAzYCp0fEpnSoCWQjqzoBd6WHmZmVUcmSRUSM2cpLw7ey/aXApY2UzwP6t2BoZmbWTNXSwW1mZlXMycLMzIpysjAzs6KcLMzMrCgnCzMzK8rJwszMinKyMDOzokp2nYVVp0P+64ai28y/YmwZIjGz1sRnFmZmVpSThZmZFeVkYWZmRTlZmJlZUU4WZmZWlEdDlVGxkUgehWRm1crJwrbJYT86rOg2959xfxkiMbNycLJoZfwlbWaV4D4LMzMrysnCzMyKcjOUbeHpSwYU36hb19IHYmZVw2cWZmZWlJOFmZkV5WRhZmZFOVmYmVlR7uCuIu5YNrNq5WRhZecbMJm1Pk4W1mr5anaz8nGfhZmZFeVkYWZmRbkZyqpSW+nsd/+NtRZOFtZmtdQXdTX0nVRDDNZyqvHfppOFmVkrVO6zbycLsyZUQ3NYNcRg5g5uMzMrqtWcWUgaAfwQaA9cExGXVTgks+1GNbSRV0tnfzV8FtWoVSQLSe2Bq4AjgTrgb5JmRMRjlY3MrO2ohuawPDGMyRFDa/qSrhatIlkAQ4AVEfEEgKRpwHGAk4WZlV01JM5yU0RUOoaiJJ0AjIiIL6b1zwL/GhFfabDdeGB8Wt0PWPYeqt0NePE97N9SqiGOaogBqiOOaogBqiOOaogBqiOOaogBWiaO90dEj4aFreXMQo2UbZHlImIKMKVFKpTmRcTgljhWa4+jGmKoljiqIYZqiaMaYqiWOKohhlLH0VpGQ9UBexes9wJWVigWM7M2p7Uki78BfSX1kfQ+YDQwo8IxmZm1Ga2iGSoiNkr6CvBHsqGz10bEkhJX2yLNWS2gGuKohhigOuKohhigOuKohhigOuKohhighHG0ig5uMzOrrNbSDGVmZhXkZGFmZkU5WTRC0ghJyyStkHR+BerfW9JsSUslLZH01XLHkOLoKGmupEdTHBdXIo4US3tJj0i6s4Ix1EpaJGmBpHkVimFXSb+R9Hj69/GRCsSwX/oM6h9rJX2tAnGclf5dLpY0VVLHcseQ4vhqimFJOT8HSddKWiVpcUFZd0kzJS1Pz91arMKI8KPgQdaB/g/gA8D7gEeBA8ocw57AoLTcBfh7uWNIdQvYOS13AB4Chlbo73I28Gvgzgr+26gFdqtU/SmG64EvpuX3AbtWOJ72wPNkF3KVs96ewJNAp7Q+HfhcBd5/f2Ax0JlswNA9QN8y1X04MAhYXFD2XeD8tHw+cHlL1ecziy1tnlokIt4E6qcWKZuIeC4iHk7L64ClZP85yioyr6bVDulR9hERknoBxwDXlLvuaiKpK9kXxC8AIuLNiHi5okHBcOAfEfFUBereAegkaQeyL+tKXHv1YeDBiHg9IjYC/weMKkfFEXEf8FKD4uPIflCQnke2VH1OFlvqCTxTsF5HBb6o60nqDRxM9qu+EvW3l7QAWAXMjIhKxPED4Dzg7QrUXSiAP0man6aWKbcPAKuBX6YmuWsk7VSBOAqNBqaWu9KIeBaYDDwNPAe8EhF/KnccZGcVh0uqkdQZOJp3X0BcbntExHOQ/egEdm+pAztZbCnX1CLlIGln4FbgaxGxthIxRMSmiDiI7Kr5IZL6l7N+Sf8OrIqI+eWsdysOi4hBwKeA0yUdXub6dyBrdvhJRBwMvEbW1FAR6QLZY4FbKlB3N7Jf0X2AvYCdJJ1a7jgiYilwOTATuJus2XpjueMoByeLLVXF1CKSOpAlipsi4rflrr+h1NwxBxhR5qoPA46VVEvWJHiEpBvLHAMAEbEyPa8CbiNrsiynOqCu4OzuN2TJo1I+BTwcES9UoO5PAE9GxOqIeAv4LfDRCsRBRPwiIgZFxOFkzULLKxFH8oKkPQHS86qWOrCTxZYqPrWIJJG1Sy+NiO+Xs+4GcfSQtGta7kT2H/TxcsYQERMjoldE9Cb7W9wbEWX/BSlpJ0ld6peBT5I1QZRNRDwPPCNpv1Q0nMpO0z+GCjRBJU8DQyV1Tv9fhpP17ZWdpN3T8z7Ap6ncZwLZd9W4tDwOuL2lDtwqpvsop6jM1CINHQZ8FliU+gsAvhERfyhzHHsC16ebT7UDpkdExYauVtgewG3Z9xI7AL+OiLsrEMcZwE3ph8wTwOcrEAOpff5I4EuVqD8iHpL0G+BhsmafR6jclBu3SqoB3gJOj4h/lqNSSVOBYcBukuqAC4HLgOmSvkCWUE9ssfrSECszM7OtcjOUmZkV5WRhZmZFOVmYmVlRThZm1ipJ6ifpP7byWjdJXyx3TNszJ4tWRtKmNHnbYkm3pFEpLXXskZIOeA/795b0mYL1wZKubJnoWhdJx5ZqEsqGn3MT2x0k6egc2w1riQkalbk3TUuCpFfT815p5FJzjnWJpE+k5a81/Heehql+k2x6jS2kEUn7S/pUE3XsL+kBSRskndvgtUYnE5U0WdIRzXkv2wsni9ZnfUQcFBH9gTeBL7fgsUcC25wsgN7A5i+xiJgXEWe+x5hapYiYERGXlejwvSn4nJtwENn0E+VyNPBow9kGImJlRJzQnANFxAURcU9a/RrZ3E+Frz8dEZ8pMrPB+UD3Jl5/CTiTbNqQzdJQ8avILjo8ABhT8CPqR1TwqvlKcrJo3f4MfDBNS/w7SQslPShpIICki9I0xnMkPSFp8xe3pLFp+0cl/UrSR8mmbrginbnsm/YbnLbfLV1FXf/L9s+SHk6P+itnLwP+X9r/rMJfrM2NMV0E9/sU32JJJzd885LOlPRYOua0guOdW7DNYmXza23xnlPZHpJuS2WP1r8XSacqm559gaSfKZsjq72k69IxF0k6q4k4Pifpx5J2UTa1ebtU3lnSM5I6pM/4bmVzTf1Z0v5pmxNTHY9Kuq+Rv3vDz7mjpF+mmB6R9HFl12FcApyctjtZ0hBJf03b/FXvXNxX+JnulP4ef0vbHZfK+xV8Hgsl9W0krlNo5CKw9O9lccHn8jtJd0h6UtJXJJ2d6npQUve03XWSTkj/HvYCZkuanV77pLIzgoeVnV3v3Eid/wk8AJwn6VY1cgYeEasi4m9k10cU2upkomnCxBpJ/9LI+9++lWMqXT9adFriV9PzDmT/MSeQ/dq5MJUfASxIyxcBfwV2BHYD1pDNHNsPWEaabhvonp6vA04oqGsOMDgt7wbUpuXOQMe03BeYl5aHUTCFeOH6NsR4PPDzgmPt0shnsRLYMS3vWnC8cwu2WUz2S3xr7/lmsrm3ILsIcxeymUTvADqk8quBscAhZJMp0qDOxuL4HPDjtHw78PG0fDJwTVqeRZrOGvhXsqvTARYBPQuP1+B9N/yczwF+mZb3J7sYq2NhDOm1rsAOafkTwK2N/J2+A5xaXzfZ9Pg7pb/fKan8faSpwRvE9RTQpZF/q71J02inmFaQTb3fA3gF+HJ67X8L/hbXkf4tUjA1PNm/kfuAndL614ELGomlpmD528AZTfyfuoh3/5s5of5vlNY/2+Bz/DlwfKW/C8r98BXcrU8nvXNV95/JpgV5iOzLlYi4V9kMmLukbX4fERuADZJWkV2JfATwm4h4Me3TcJrjYjoAP5Z0ELAJ+FCOfT7WzBgXAZMlXU72RfbnRo65kOxq5t8BvytS/9be8xFkiYCI2AS8IumzZInhb8qu2O5ENsfOHcAHJP0I+D1QP8tpsThuJksSs8mmLLk6/Rr+KHBLqgOyhAlwP3CdpOlkcx4V8zGyL3Mi4nFJT9H432QXsivy+5JNjtmhkW0+STYXV/3ZWUdgH7Jf6d9UNl38byOisfmPukc2pX4xs9N26yS9Qva5QvY3H1hk36FkTUP3p8/tfSm2hvpL+jZZwtuZbEaGvIpNJrqK7GynTXGyaH3WRzYL7GYq+LYpUP+Pe0NB2Sayv7nIN5PuRt5pqiy8C9lZwAvAgen1N3Icq1kxRsTfJR1C1g7+P5L+FBGXNNj/GLL7OxwLTJLUr0HMhXHnfc/1214fERO3eEE6EDgKOB04CThtK3EUmpHeQ3eyJHQv2a/1lxv+LQEi4suS/jUdd4GkgyJiTZF48/gW2Rf1KGVNc3O2cqzjI2JZg/Klkh5KMf1R0hcj4t4G22yU1C4iik0lX/j3frtg/W2KfyeJ7OxuTJHtrgNGRsSjkj5HdvaUV7HJRDsC65txvO2C+yy2D/eRtRcjaRjwYjTd8TcLOEnZfDbUtxMD68iaB+rVkn25QXZqXm8X4Ln0pfBZsuabxvbf5hgl7QW8HhE3knVADmrwejtg74iYTXavi13JfkHW1m8raRDZFNZNvedZZE159ffu6JrKTtA7E8R1l/R+SbsB7SLiVmASMKiJODaL7AZSc4Efkp0lbUrv/UlJJ6Y6lBIRkvaNiIci4gLgRba8P0LDz7nws/0Q2ZnAska22wV4Ni1/jsb9ETij/geIpIPT8weAJyLiSrLk19gZwDKye260tML38SBwmKQPprg6p/fcUBfgOWWzN5/SzPqKTSb6Ico8iWQ1cLLYPlwEDJa0kKzzc1xTG0c2MeKlwP9JehSon9l2GvBfqbNxX7Iv6QmS/krWVlzvamCcpAfJ/uO8lsoXkv26fFSp83dbYwQGAHNTk9s3ydqdC7UHbpS0iGwSuf+NbBr1W4Huab8JZG3uTb3nrwIfT8eZD/SLiMeA/ya70dFCsnsV7El2E6w56djXARObiKOhm4FT03O9U4AvpHiW8M4dGa9Q1lm9mCwRPNrgWA0/56uB9imGm8luL7qBrNnrAKUObrJbbv6PpPt5J8E39C2y5qmFqf5vpfKTgcXpve8P3NDIvr+neb/g85oC3CVpdkSsJkt0U9Pf5sEUT0OTyJpnZ7KVmZIl/YuyCfjOBv5bUp2krpHd8a5+MtGlZBNoLkn7dAA+CFTkHuyV5IkEzaxFKLt/wg0RcWSlYykVSaOAQRExqdKxlJvPLMysRUR2G8+fp6a87dUOwPcqHUQl+MzCzMyK8pmFmZkV5WRhZmZFOVmYmVlRThZmZlaUk4WZmRXlZGFmZkX9fyVYmS2BETO1AAAAAElFTkSuQmCC\n", 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" ] @@ -681,7 +681,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 45, "metadata": {}, "outputs": [], "source": [ @@ -690,7 +690,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 46, "metadata": {}, "outputs": [], "source": [ @@ -700,7 +700,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 47, "metadata": {}, "outputs": [], "source": [ @@ -716,7 +716,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 48, "metadata": {}, "outputs": [], "source": [ @@ -726,7 +726,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 49, "metadata": {}, "outputs": [], "source": [ @@ -735,7 +735,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 50, "metadata": {}, "outputs": [], "source": [ @@ -745,7 +745,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 51, "metadata": {}, "outputs": [], "source": [ @@ -763,7 +763,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 52, "metadata": {}, "outputs": [], "source": [ @@ -773,7 +773,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 53, "metadata": {}, "outputs": [], "source": [ @@ -782,7 +782,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 54, "metadata": {}, "outputs": [], "source": [ @@ -792,7 +792,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 55, "metadata": {}, "outputs": [], "source": [ @@ -801,7 +801,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 56, "metadata": {}, "outputs": [], "source": [ @@ -810,7 +810,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 57, "metadata": {}, "outputs": [], "source": [ @@ -821,7 +821,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 58, "metadata": {}, "outputs": [], "source": [ @@ -830,7 +830,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 59, "metadata": {}, "outputs": [], "source": [ @@ -839,7 +839,7 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 60, "metadata": {}, "outputs": [], "source": [ @@ -848,12 +848,12 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 61, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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" ] @@ -882,7 +882,7 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 62, "metadata": {}, "outputs": [], "source": [ @@ -891,7 +891,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 63, "metadata": {}, "outputs": [], "source": [ @@ -900,7 +900,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 64, "metadata": {}, "outputs": [], "source": [ @@ -909,7 +909,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 65, "metadata": {}, "outputs": [], "source": [ @@ -918,7 +918,7 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 66, "metadata": {}, "outputs": [], "source": [ @@ -928,7 +928,7 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 67, "metadata": {}, "outputs": [], "source": [ @@ -940,7 +940,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 68, "metadata": {}, "outputs": [], "source": [ @@ -949,7 +949,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 69, "metadata": {}, "outputs": [], "source": [ @@ -958,7 +958,7 @@ }, { "cell_type": "code", - "execution_count": 75, + "execution_count": 70, "metadata": {}, "outputs": [], "source": [ @@ -967,7 +967,7 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 71, "metadata": {}, "outputs": [], "source": [ @@ -976,12 +976,12 @@ }, { "cell_type": "code", - "execution_count": 77, + "execution_count": 72, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1000,27 +1000,6 @@ "g007.despine(offset=10, trim=True)\n", "g007.savefig(\"g007.pdf\")" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { @@ -1039,7 +1018,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.3" + "version": "3.9.1" } }, "nbformat": 4, diff --git a/rapport.md b/rapport.md index 22e4a63..6b7bda5 100644 --- a/rapport.md +++ b/rapport.md @@ -1,7 +1,7 @@ --- -title: IFT7022 - TP 3 - Commentaires Facebook en lien avec la presse écrite. Revue de littérature et mesure de la pertinence. +title: Commentaires Facebook en lien avec la presse écrite. Revue de littérature et mesure de la pertinence. author: François Pelletier -date: \today +date: Décembre 2019 citation_package: natbib numbersections: true toc: yes @@ -22,6 +22,10 @@ header-includes: | \pagebreak +# Note + +Ce document a été à l'origine produit comme travail de session dans le cadre du cours IFT-7022 Traitement du langage naturel donné par Luc Lamontagne à l'Université Laval en automne 2019. + # Introduction Les commentaires extraits des fils de discussions sur des publications Facebook constituent une nouvelle forme de discours, complètement différent des textes formatés et normalisés qui proviennent de médias écrits. Leurs caractéristiques distinctes en tant que type littéraire à l'intersection de la critique et du dialogue vont demander des adaptations dans le traitement du langage naturel. Les attributs linguistiques, les entités nommées, la prise de position et les relations entre les commentaires seront abordés. Puis, on présente différentes approches de modélisation. Un exemple pratique permettra d'illustrer plusieurs concepts et de tirer quelques premières conclusions. diff --git a/textes_articles.ipynb b/textes_articles.ipynb index f220769..020ef6c 100644 --- a/textes_articles.ipynb +++ b/textes_articles.ipynb @@ -6,15 +6,18 @@ "metadata": {}, "outputs": [ { - "ename": "ModuleNotFoundError", - "evalue": "No module named 'newspaper'", + "ename": "AttributeError", + "evalue": "module 'base64' has no attribute 'decodestring'", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", + "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mparsing_functions\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mpf\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mre\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mpandas\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m~/nlp_a2019_tp3/parsing_functions.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mrequests\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0murllib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparse\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0munquote\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mnewspaper\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 7\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mget_comments\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfile_path\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;31mModuleNotFoundError\u001b[0m: No module named 'newspaper'" + "\u001b[0;32m~/.local/lib/python3.9/site-packages/newspaper/__init__.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0m__copyright__\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'Copyright 2014, Lucas Ou-Yang'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 10\u001b[0;31m from .api import (build, build_article, fulltext, hot, languages,\n\u001b[0m\u001b[1;32m 11\u001b[0m popular_urls, Configuration as Config)\n\u001b[1;32m 12\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0marticle\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mArticle\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mArticleException\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/.local/lib/python3.9/site-packages/newspaper/api.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[0m__copyright__\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'Copyright 2014, Lucas Ou-Yang'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 12\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mfeedparser\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 13\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 14\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0marticle\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mArticle\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/anaconda3/envs/nlp_a2019_tp3/lib/python3.9/site-packages/feedparser.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 91\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 92\u001b[0m \u001b[0;31m# Python 3.1 deprecates decodestring in favor of decodebytes\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 93\u001b[0;31m \u001b[0m_base64decode\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbase64\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'decodebytes'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbase64\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdecodestring\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 94\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 95\u001b[0m \u001b[0;31m# _s2bytes: convert a UTF-8 str to bytes if the interpreter is Python 3\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mAttributeError\u001b[0m: module 'base64' has no attribute 'decodestring'" ] } ], @@ -89,7 +92,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.3" + "version": "3.9.1" } }, "nbformat": 4, diff --git a/traitement_articles.ipynb b/traitement_articles.ipynb index 41d4cc7..502fad6 100644 --- a/traitement_articles.ipynb +++ b/traitement_articles.ipynb @@ -14,7 +14,8 @@ "import re\n", "import pickle\n", "import emoji\n", - "import pretraitement as pr" + "import pretraitement as pr\n", + "import os" ] }, { @@ -83,6 +84,15 @@ "textes_articles_df['pos_dict']=[pr.aggreger_pos_tags(article) for article in article_pretraite]" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "os.mkdir(\"pickle\")" + ] + }, { "cell_type": "code", "execution_count": null, @@ -118,7 +128,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.9.1" } }, "nbformat": 4, diff --git a/traitement_commentaires.ipynb b/traitement_commentaires.ipynb index e8e533d..1004a8c 100644 --- a/traitement_commentaires.ipynb +++ b/traitement_commentaires.ipynb @@ -235,20 +235,10 @@ "commentaires_pretraite = []\n", "compteur=0\n", "for x in list(commentaires_df_names[\"comment_clean\"]):\n", - " print(str(compteur)+\": \"+x)\n", " commentaires_pretraite.append(pr.pretraitement(x,tok,ner_tagger,pos_tagger))\n", " compteur += 1" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "commentaires_pretraite" - ] - }, { "cell_type": "code", "execution_count": null, @@ -295,7 +285,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.9.1" } }, "nbformat": 4,