{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"1_NLU_base_features_on_dataset_with_YAKE_Lemma_Stemm_classifiers_NER_.ipynb","provenance":[],"collapsed_sections":[],"toc_visible":true},"kernelspec":{"name":"python3","display_name":"Python 3"}},"cells":[{"cell_type":"markdown","metadata":{"id":"EhycgLa_1gjj"},"source":["![JohnSnowLabs](https://nlp.johnsnowlabs.com/assets/images/logo.png)\n","\n","[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/JohnSnowLabs/nlu/blob/master/examples/webinars_conferences_etc/NYC_DC_NLP_MEETUP/1_NLU_base_features_on_dataset_with_YAKE_Lemma_Stemm_classifiers_NER_.ipynb)"]},{"cell_type":"markdown","metadata":{"id":"7cZNelCJGTgJ"},"source":["# 1. Install NLU "]},{"cell_type":"code","metadata":{"id":"6GoxQmPuGNee","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1650022887191,"user_tz":-300,"elapsed":106250,"user":{"displayName":"ahmed lone","userId":"02458088882398909889"}},"outputId":"0100c002-0a80-4b06-a666-22dbdb929711"},"source":["!wget https://setup.johnsnowlabs.com/nlu/colab.sh -O - | bash\n","import nlu"],"execution_count":1,"outputs":[{"output_type":"stream","name":"stdout","text":["--2022-04-15 11:39:40--  https://setup.johnsnowlabs.com/nlu/colab.sh\n","Resolving setup.johnsnowlabs.com (setup.johnsnowlabs.com)... 51.158.130.125\n","Connecting to setup.johnsnowlabs.com (setup.johnsnowlabs.com)|51.158.130.125|:443... connected.\n","HTTP request sent, awaiting response... 302 Moved Temporarily\n","Location: https://raw.githubusercontent.com/JohnSnowLabs/nlu/master/scripts/colab_setup.sh [following]\n","--2022-04-15 11:39:40--  https://raw.githubusercontent.com/JohnSnowLabs/nlu/master/scripts/colab_setup.sh\n","Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...\n","Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.108.133|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 1665 (1.6K) [text/plain]\n","Saving to: ‘STDOUT’\n","\n","-                     0%[                    ]       0  --.-KB/s               Installing  NLU 3.4.3rc2 with  PySpark 3.0.3 and Spark NLP 3.4.2 for Google Colab ...\n","-                   100%[===================>]   1.63K  --.-KB/s    in 0.001s  \n","\n","2022-04-15 11:39:41 (1.67 MB/s) - written to stdout [1665/1665]\n","\n","Get:1 https://cloud.r-project.org/bin/linux/ubuntu bionic-cran40/ InRelease [3,626 B]\n","Ign:2 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64  InRelease\n","Get:3 http://security.ubuntu.com/ubuntu bionic-security InRelease [88.7 kB]\n","Hit:4 http://archive.ubuntu.com/ubuntu bionic InRelease\n","Get:5 http://ppa.launchpad.net/c2d4u.team/c2d4u4.0+/ubuntu bionic InRelease [15.9 kB]\n","Ign:6 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64  InRelease\n","Get:7 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64  Release [696 B]\n","Hit:8 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64  Release\n","Get:9 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64  Release.gpg [836 B]\n","Get:10 http://archive.ubuntu.com/ubuntu bionic-updates InRelease [88.7 kB]\n","Hit:11 http://ppa.launchpad.net/cran/libgit2/ubuntu bionic InRelease\n","Get:12 http://archive.ubuntu.com/ubuntu bionic-backports InRelease [74.6 kB]\n","Get:13 http://ppa.launchpad.net/deadsnakes/ppa/ubuntu bionic InRelease [15.9 kB]\n","Hit:15 http://ppa.launchpad.net/graphics-drivers/ppa/ubuntu bionic InRelease\n","Get:16 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64  Packages [953 kB]\n","Get:17 http://ppa.launchpad.net/c2d4u.team/c2d4u4.0+/ubuntu bionic/main Sources [1,947 kB]\n","Get:18 http://security.ubuntu.com/ubuntu bionic-security/universe amd64 Packages [1,490 kB]\n","Get:19 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 Packages [3,134 kB]\n","Get:20 http://security.ubuntu.com/ubuntu bionic-security/main amd64 Packages [2,695 kB]\n","Get:21 http://ppa.launchpad.net/c2d4u.team/c2d4u4.0+/ubuntu bionic/main amd64 Packages [996 kB]\n","Get:22 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 Packages [2,268 kB]\n","Get:23 http://ppa.launchpad.net/deadsnakes/ppa/ubuntu bionic/main amd64 Packages [45.3 kB]\n","Fetched 13.8 MB in 4s (3,847 kB/s)\n","Reading package lists... Done\n","tar: spark-3.0.2-bin-hadoop2.7.tgz: Cannot open: No such file or directory\n","tar: Error is not recoverable: exiting now\n","\u001b[K     |████████████████████████████████| 209.1 MB 60 kB/s \n","\u001b[K     |████████████████████████████████| 142 kB 53.1 MB/s \n","\u001b[K     |████████████████████████████████| 505 kB 58.6 MB/s \n","\u001b[K     |████████████████████████████████| 198 kB 55.2 MB/s \n","\u001b[?25h  Building wheel for pyspark (setup.py) ... \u001b[?25l\u001b[?25hdone\n","Collecting nlu_tmp==3.4.3rc10\n","  Downloading nlu_tmp-3.4.3rc10-py3-none-any.whl (510 kB)\n","\u001b[K     |████████████████████████████████| 510 kB 5.1 MB/s \n","\u001b[?25hRequirement already satisfied: spark-nlp<3.5.0,>=3.4.2 in /usr/local/lib/python3.7/dist-packages (from nlu_tmp==3.4.3rc10) (3.4.2)\n","Requirement already satisfied: pandas>=1.3.5 in /usr/local/lib/python3.7/dist-packages (from nlu_tmp==3.4.3rc10) (1.3.5)\n","Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (from nlu_tmp==3.4.3rc10) (1.21.5)\n","Requirement already satisfied: pyarrow>=0.16.0 in /usr/local/lib/python3.7/dist-packages (from nlu_tmp==3.4.3rc10) (6.0.1)\n","Requirement already satisfied: dataclasses in /usr/local/lib/python3.7/dist-packages (from nlu_tmp==3.4.3rc10) (0.6)\n","Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=1.3.5->nlu_tmp==3.4.3rc10) (2.8.2)\n","Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=1.3.5->nlu_tmp==3.4.3rc10) (2018.9)\n","Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.7.3->pandas>=1.3.5->nlu_tmp==3.4.3rc10) (1.15.0)\n","Installing collected packages: nlu-tmp\n","Successfully installed nlu-tmp-3.4.3rc10\n"]}]},{"cell_type":"markdown","metadata":{"id":"1quiM1WB6zad"},"source":["# Download dataset with major news about crypto currencies.\n","## We will use the 'title' column for our examples\n","https://www.kaggle.com/kashnitsky/news-about-major-cryptocurrencies-20132018-40k\n","\n","![Crypto](http://ckl-it.de/wp-content/uploads/2021/02/crypto.jpeg )"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"epDSiw1gIKG6","outputId":"51b41abc-4406-48a2-ee9b-110c8dc031c9","executionInfo":{"status":"ok","timestamp":1650022889136,"user_tz":-300,"elapsed":1961,"user":{"displayName":"ahmed lone","userId":"02458088882398909889"}}},"source":["import pandas as pd \n","import nlu\n","!wget http://ckl-it.de/wp-content/uploads/2020/12/small_btc.csv \n","df = pd.read_csv('/content/small_btc.csv').title\n","df"],"execution_count":2,"outputs":[{"output_type":"stream","name":"stdout","text":["--2022-04-15 11:41:26--  http://ckl-it.de/wp-content/uploads/2020/12/small_btc.csv\n","Resolving ckl-it.de (ckl-it.de)... 217.160.0.108, 2001:8d8:100f:f000::209\n","Connecting to ckl-it.de (ckl-it.de)|217.160.0.108|:80... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 22244914 (21M) [text/csv]\n","Saving to: ‘small_btc.csv’\n","\n","small_btc.csv       100%[===================>]  21.21M  14.6MB/s    in 1.4s    \n","\n","2022-04-15 11:41:28 (14.6 MB/s) - ‘small_btc.csv’ saved [22244914/22244914]\n","\n"]},{"output_type":"execute_result","data":{"text/plain":["0          Bitcoin Price Update: Will China Lead us Down?\n","1       Key Bitcoin Price Levels for Week 51 (15 – 22 ...\n","2       National Australia Bank, Citing Highly Flawed ...\n","3       Chinese Bitcoin Ban Driven by  Chinese Banking...\n","4                   Bitcoin Trade Update: Opened Position\n","                              ...                        \n","1995    Bitcoin Bill Pay Company Living Room of Satosh...\n","1996    NYDFS Extends BitLicense Bitcoin Regulation Co...\n","1997    Bitfinex Passes Stefan Thomas’s Proof Of Solve...\n","1998    Cryptocurrency Exchange Platform AlphaPoint Pa...\n","1999    Want to Buy And Sell Bitcoin Fast and Secure? ...\n","Name: title, Length: 2000, dtype: object"]},"metadata":{},"execution_count":2}]},{"cell_type":"markdown","metadata":{"id":"3piXOfyb7HOD"},"source":["# Predict sentiment of News Article titles"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":580},"id":"Fdxs3wO4ISAW","outputId":"166c7e16-1cfe-430f-e1f3-67c6b68ec780","executionInfo":{"status":"ok","timestamp":1650023008208,"user_tz":-300,"elapsed":119081,"user":{"displayName":"ahmed lone","userId":"02458088882398909889"}}},"source":["import nlu\n","# Predict sentiment on dataset with NLU sentiment model\n","sentiment_df = nlu.load('emotion').predict(df)\n","sentiment_df"],"execution_count":3,"outputs":[{"output_type":"stream","name":"stdout","text":["classifierdl_use_emotion download started this may take some time.\n","Approximate size to download 21.3 MB\n","[OK!]\n","tfhub_use download started this may take some time.\n","Approximate size to download 923.7 MB\n","[OK!]\n","sentence_detector_dl download started this may take some time.\n","Approximate size to download 354.6 KB\n","[OK!]\n"]},{"output_type":"execute_result","data":{"text/plain":["     emotion emotion_confidence_confidence  \\\n","0       fear                      0.998173   \n","1        joy                      0.997696   \n","2       fear                      0.999997   \n","3       fear                      0.999135   \n","4        joy                      0.998864   \n","...      ...                           ...   \n","1996    fear                      0.998281   \n","1997    fear                      0.772052   \n","1998     joy                      0.999348   \n","1999    fear                      0.998905   \n","1999    fear                      0.998905   \n","\n","                                               sentence  \\\n","0        Bitcoin Price Update: Will China Lead us Down?   \n","1     Key Bitcoin Price Levels for Week 51 (15 – 22 ...   \n","2     National Australia Bank, Citing Highly Flawed ...   \n","3     Chinese Bitcoin Ban Driven by Chinese Banking ...   \n","4                 Bitcoin Trade Update: Opened Position   \n","...                                                 ...   \n","1996  NYDFS Extends BitLicense Bitcoin Regulation Co...   \n","1997  Bitfinex Passes Stefan Thomas’s Proof Of Solve...   \n","1998  Cryptocurrency Exchange Platform AlphaPoint Pa...   \n","1999      Want to Buy And Sell Bitcoin Fast and Secure?   \n","1999                                        Try CoinRNR   \n","\n","                                 sentence_embedding_use  \n","0     [0.05829371139407158, -0.036904484033584595, -...  \n","1     [0.038088250905275345, -0.04514157399535179, -...  \n","2     [0.05034318566322327, -0.01303655095398426, -0...  \n","3     [0.055152829736471176, -0.05237917602062225, -...  \n","4     [0.05926975607872009, -0.056463420391082764, -...  \n","...                                                 ...  \n","1996  [0.0639236643910408, -0.05505230277776718, -0....  \n","1997  [0.059178080409765244, -0.041498005390167236, ...  \n","1998  [0.05369672179222107, -0.023480931296944618, -...  \n","1999  [0.0626637190580368, -0.05945301055908203, -0....  \n","1999  [0.02854502573609352, 0.05557611957192421, 0.0...  \n","\n","[2160 rows x 4 columns]"],"text/html":["\n","  <div id=\"df-59797d0b-d244-4126-8184-9b033ad2ee9b\">\n","    <div class=\"colab-df-container\">\n","      <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>emotion</th>\n","      <th>emotion_confidence_confidence</th>\n","      <th>sentence</th>\n","      <th>sentence_embedding_use</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>fear</td>\n","      <td>0.998173</td>\n","      <td>Bitcoin Price Update: Will China Lead us Down?</td>\n","      <td>[0.05829371139407158, -0.036904484033584595, -...</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>joy</td>\n","      <td>0.997696</td>\n","      <td>Key Bitcoin Price Levels for Week 51 (15 – 22 ...</td>\n","      <td>[0.038088250905275345, -0.04514157399535179, -...</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>fear</td>\n","      <td>0.999997</td>\n","      <td>National Australia Bank, Citing Highly Flawed ...</td>\n","      <td>[0.05034318566322327, -0.01303655095398426, -0...</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>fear</td>\n","      <td>0.999135</td>\n","      <td>Chinese Bitcoin Ban Driven by Chinese Banking ...</td>\n","      <td>[0.055152829736471176, -0.05237917602062225, -...</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>joy</td>\n","      <td>0.998864</td>\n","      <td>Bitcoin Trade Update: Opened Position</td>\n","      <td>[0.05926975607872009, -0.056463420391082764, -...</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>1996</th>\n","      <td>fear</td>\n","      <td>0.998281</td>\n","      <td>NYDFS Extends BitLicense Bitcoin Regulation Co...</td>\n","      <td>[0.0639236643910408, -0.05505230277776718, -0....</td>\n","    </tr>\n","    <tr>\n","      <th>1997</th>\n","      <td>fear</td>\n","      <td>0.772052</td>\n","      <td>Bitfinex Passes Stefan Thomas’s Proof Of Solve...</td>\n","      <td>[0.059178080409765244, -0.041498005390167236, ...</td>\n","    </tr>\n","    <tr>\n","      <th>1998</th>\n","      <td>joy</td>\n","      <td>0.999348</td>\n","      <td>Cryptocurrency Exchange Platform AlphaPoint Pa...</td>\n","      <td>[0.05369672179222107, -0.023480931296944618, -...</td>\n","    </tr>\n","    <tr>\n","      <th>1999</th>\n","      <td>fear</td>\n","      <td>0.998905</td>\n","      <td>Want to Buy And Sell Bitcoin Fast and Secure?</td>\n","      <td>[0.0626637190580368, -0.05945301055908203, -0....</td>\n","    </tr>\n","    <tr>\n","      <th>1999</th>\n","      <td>fear</td>\n","      <td>0.998905</td>\n","      <td>Try CoinRNR</td>\n","      <td>[0.02854502573609352, 0.05557611957192421, 0.0...</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>2160 rows × 4 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-59797d0b-d244-4126-8184-9b033ad2ee9b')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":3}]},{"cell_type":"markdown","metadata":{"id":"QflwSZ5QSwiW"},"source":["# Plot sentiment distribution"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":842},"id":"zYzViY78Ib4H","outputId":"8dea7279-20dd-47a4-b123-9ebdd1c112d7","executionInfo":{"status":"ok","timestamp":1650023009100,"user_tz":-300,"elapsed":918,"user":{"displayName":"ahmed lone","userId":"02458088882398909889"}}},"source":["sentiment_df.emotion.value_counts().plot.bar(figsize=(20,14), title = 'Emotion Distribution of Bitcoin News Articles')"],"execution_count":4,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 0x7f7e1d797150>"]},"metadata":{},"execution_count":4},{"output_type":"display_data","data":{"text/plain":["<Figure size 1440x1008 with 1 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"G35mnGD_BagV"},"source":["# Predict keywords occuring in dataset with YAKE"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":476},"id":"NW4Hysc-IuAG","outputId":"7fd2c120-0c31-4b74-dd91-f8a33964c2dd","executionInfo":{"status":"ok","timestamp":1650023021573,"user_tz":-300,"elapsed":12483,"user":{"displayName":"ahmed lone","userId":"02458088882398909889"}}},"source":["key_df = nlu.load('yake').predict(df)\n","key_df"],"execution_count":5,"outputs":[{"output_type":"stream","name":"stdout","text":["sentence_detector_dl download started this may take some time.\n","Approximate size to download 354.6 KB\n","[OK!]\n"]},{"output_type":"execute_result","data":{"text/plain":["                                               document           keywords  \\\n","0        Bitcoin Price Update: Will China Lead us Down?             update   \n","0        Bitcoin Price Update: Will China Lead us Down?              china   \n","0        Bitcoin Price Update: Will China Lead us Down?         china lead   \n","1     Key Bitcoin Price Levels for Week 51 (15 – 22 ...              price   \n","1     Key Bitcoin Price Levels for Week 51 (15 – 22 ...             levels   \n","...                                                 ...                ...   \n","1998  Cryptocurrency Exchange Platform AlphaPoint Pa...             growth   \n","1998  Cryptocurrency Exchange Platform AlphaPoint Pa...     support growth   \n","1999  Want to Buy And Sell Bitcoin Fast and Secure? ...       bitcoin fast   \n","1999  Want to Buy And Sell Bitcoin Fast and Secure? ...        try coinrnr   \n","1999  Want to Buy And Sell Bitcoin Fast and Secure? ...  sell bitcoin fast   \n","\n","      keywords_confidence  \n","0      0.5798862558280943  \n","0      0.5798862558280943  \n","0      0.5066323531331214  \n","1      0.5798862558280943  \n","1      0.5798862558280943  \n","...                   ...  \n","1998  0.26804494089513314  \n","1998   0.1840422979793308  \n","1999   0.3579604335906263  \n","1999   0.2564243599387429  \n","1999  0.28203029979078753  \n","\n","[6085 rows x 3 columns]"],"text/html":["\n","  <div id=\"df-c8e6fb86-6749-4015-bdab-b2084b237963\">\n","    <div class=\"colab-df-container\">\n","      <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>document</th>\n","      <th>keywords</th>\n","      <th>keywords_confidence</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Bitcoin Price Update: Will China Lead us Down?</td>\n","      <td>update</td>\n","      <td>0.5798862558280943</td>\n","    </tr>\n","    <tr>\n","      <th>0</th>\n","      <td>Bitcoin Price Update: Will China Lead us Down?</td>\n","      <td>china</td>\n","      <td>0.5798862558280943</td>\n","    </tr>\n","    <tr>\n","      <th>0</th>\n","      <td>Bitcoin Price Update: Will China Lead us Down?</td>\n","      <td>china lead</td>\n","      <td>0.5066323531331214</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Key Bitcoin Price Levels for Week 51 (15 – 22 ...</td>\n","      <td>price</td>\n","      <td>0.5798862558280943</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Key Bitcoin Price Levels for Week 51 (15 – 22 ...</td>\n","      <td>levels</td>\n","      <td>0.5798862558280943</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>1998</th>\n","      <td>Cryptocurrency Exchange Platform AlphaPoint Pa...</td>\n","      <td>growth</td>\n","      <td>0.26804494089513314</td>\n","    </tr>\n","    <tr>\n","      <th>1998</th>\n","      <td>Cryptocurrency Exchange Platform AlphaPoint Pa...</td>\n","      <td>support growth</td>\n","      <td>0.1840422979793308</td>\n","    </tr>\n","    <tr>\n","      <th>1999</th>\n","      <td>Want to Buy And Sell Bitcoin Fast and Secure? ...</td>\n","      <td>bitcoin fast</td>\n","      <td>0.3579604335906263</td>\n","    </tr>\n","    <tr>\n","      <th>1999</th>\n","      <td>Want to Buy And Sell Bitcoin Fast and Secure? ...</td>\n","      <td>try coinrnr</td>\n","      <td>0.2564243599387429</td>\n","    </tr>\n","    <tr>\n","      <th>1999</th>\n","      <td>Want to Buy And Sell Bitcoin Fast and Secure? ...</td>\n","      <td>sell bitcoin fast</td>\n","      <td>0.28203029979078753</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>6085 rows × 3 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c8e6fb86-6749-4015-bdab-b2084b237963')\"\n","              title=\"Convert this dataframe to an 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keyword"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":586},"id":"V5sAFBB3m0Dn","outputId":"bca2af0e-3500-44a2-be07-d790208b3578","executionInfo":{"status":"ok","timestamp":1650023064781,"user_tz":-300,"elapsed":3876,"user":{"displayName":"ahmed lone","userId":"02458088882398909889"}}},"source":["# key_df.explode('keywords_classes').keywords_classes.value_counts()[0:100].plot.bar(title='Top 100 Keywords in Stack Overflow Questions', figsize=(20,8))\n","key_df.explode('keywords').keywords.value_counts()[0:100].plot.bar(title='Top 100 Keywords in BTC News Articles', figsize=(20,8))\n"],"execution_count":7,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 0x7f7e1fb3da10>"]},"metadata":{},"execution_count":7},{"output_type":"display_data","data":{"text/plain":["<Figure size 1440x576 with 1 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"jGOy7UMTu2gR"},"source":["# Stem Data with NLU\n","To reduce dimensionality of the data and yield better results with keyword extraction, we can apply the built in stemmer on our dataset. Especially to merge occurences of termns like `bitcoin` and `bitcoins`\n","\n","Note, Lemmatizing and Normalizing could also applied for further dimension reduction, but they would noch fix the previously mentioned example"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":423},"id":"1bidZIy2JeWC","outputId":"ce671bbe-427b-462d-b62e-b80d4df05e7f","executionInfo":{"status":"ok","timestamp":1650023079495,"user_tz":-300,"elapsed":13940,"user":{"displayName":"ahmed lone","userId":"02458088882398909889"}}},"source":["stem_df = nlu.load('stem').predict(df, output_level = 'document')\n","stem_df['stem_string'] = stem_df.stem.str.join(' ')\n","stem_df"],"execution_count":8,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                                               document  \\\n","0        Bitcoin Price Update: Will China Lead us Down?   \n","1     Key Bitcoin Price Levels for Week 51 (15 – 22 ...   \n","2     National Australia Bank, Citing Highly Flawed ...   \n","3     Chinese Bitcoin Ban Driven by Chinese Banking ...   \n","4                 Bitcoin Trade Update: Opened Position   \n","...                                                 ...   \n","1995  Bitcoin Bill Pay Company Living Room of Satosh...   \n","1996  NYDFS Extends BitLicense Bitcoin Regulation Co...   \n","1997  Bitfinex Passes Stefan Thomas’s Proof Of Solve...   \n","1998  Cryptocurrency Exchange Platform AlphaPoint Pa...   \n","1999  Want to Buy And Sell Bitcoin Fast and Secure? ...   \n","\n","                                                   stem  \\\n","0     [bitcoin, price, updat, :, will, china, lead, ...   \n","1     [kei, bitcoin, price, level, for, week, 51, (,...   \n","2     [nation, australia, bank, ,, cite, highli, fla...   \n","3     [chines, bitcoin, ban, driven, by, chines, ban...   \n","4               [bitcoin, trade, updat, :, open, posit]   \n","...                                                 ...   \n","1995  [bitcoin, bill, pai, compani, live, room, of, ...   \n","1996  [nydf, extend, bitlicens, bitcoin, regul, comm...   \n","1997  [bitfinex, pass, stefan, thomas’, proof, of, s...   \n","1998  [cryptocurr, exchang, platform, alphapoint, pa...   \n","1999  [want, to, bui, and, sell, bitcoin, fast, and,...   \n","\n","                                            stem_string  \n","0        bitcoin price updat : will china lead u down ?  \n","1     kei bitcoin price level for week 51 ( 15 – 22 ...  \n","2     nation australia bank , cite highli flawe data...  \n","3      chines bitcoin ban driven by chines bank crisi ?  \n","4                      bitcoin trade updat : open posit  \n","...                                                 ...  \n","1995  bitcoin bill pai compani live room of satoshi ...  \n","1996  nydf extend bitlicens bitcoin regul comment pe...  \n","1997  bitfinex pass stefan thomas’ proof of solvenc ...  \n","1998  cryptocurr exchang platform alphapoint partner...  \n","1999  want to bui and sell bitcoin fast and secur ? ...  \n","\n","[2000 rows x 3 columns]"],"text/html":["\n","  <div id=\"df-adb436a2-2c01-41ca-a484-88ac23a9882a\">\n","    <div class=\"colab-df-container\">\n","      <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>document</th>\n","      <th>stem</th>\n","      <th>stem_string</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Bitcoin Price Update: Will China Lead us Down?</td>\n","      <td>[bitcoin, price, updat, :, will, china, lead, ...</td>\n","      <td>bitcoin price updat : will china lead u down ?</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Key Bitcoin Price Levels for Week 51 (15 – 22 ...</td>\n","      <td>[kei, bitcoin, price, level, for, week, 51, (,...</td>\n","      <td>kei bitcoin price level for week 51 ( 15 – 22 ...</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>National Australia Bank, Citing Highly Flawed ...</td>\n","      <td>[nation, australia, bank, ,, cite, highli, fla...</td>\n","      <td>nation australia bank , cite highli flawe data...</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Chinese Bitcoin Ban Driven by Chinese Banking ...</td>\n","      <td>[chines, bitcoin, ban, driven, by, chines, ban...</td>\n","      <td>chines bitcoin ban driven by chines bank crisi ?</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Bitcoin Trade Update: Opened Position</td>\n","      <td>[bitcoin, trade, updat, :, open, posit]</td>\n","      <td>bitcoin trade updat : open posit</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>1995</th>\n","      <td>Bitcoin Bill Pay Company Living Room of Satosh...</td>\n","      <td>[bitcoin, bill, pai, compani, live, room, of, ...</td>\n","      <td>bitcoin bill pai compani live room of satoshi ...</td>\n","    </tr>\n","    <tr>\n","      <th>1996</th>\n","      <td>NYDFS Extends BitLicense Bitcoin Regulation Co...</td>\n","      <td>[nydf, extend, bitlicens, bitcoin, regul, comm...</td>\n","      <td>nydf extend bitlicens bitcoin regul comment pe...</td>\n","    </tr>\n","    <tr>\n","      <th>1997</th>\n","      <td>Bitfinex Passes Stefan Thomas’s Proof Of Solve...</td>\n","      <td>[bitfinex, pass, stefan, thomas’, proof, of, s...</td>\n","      <td>bitfinex pass stefan thomas’ proof of solvenc ...</td>\n","    </tr>\n","    <tr>\n","      <th>1998</th>\n","      <td>Cryptocurrency Exchange Platform AlphaPoint Pa...</td>\n","      <td>[cryptocurr, exchang, platform, alphapoint, pa...</td>\n","      <td>cryptocurr exchang platform alphapoint partner...</td>\n","    </tr>\n","    <tr>\n","      <th>1999</th>\n","      <td>Want to Buy And Sell Bitcoin Fast and Secure? ...</td>\n","      <td>[want, to, bui, and, sell, bitcoin, fast, and,...</td>\n","      <td>want to bui and sell bitcoin fast and secur ? ...</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>2000 rows × 3 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-adb436a2-2c01-41ca-a484-88ac23a9882a')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-adb436a2-2c01-41ca-a484-88ac23a9882a button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 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dataset."]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":619},"id":"ehHUCzfNnrDM","outputId":"edd23a95-9ade-4260-b2d1-496d8bc7b2bf","executionInfo":{"status":"ok","timestamp":1650023096715,"user_tz":-300,"elapsed":16565,"user":{"displayName":"ahmed lone","userId":"02458088882398909889"}}},"source":["\n","stem_df = nlu.load('yake').predict(stem_df.stem_string)\n","stem_df.explode('keywords').keywords.value_counts()[0:100].plot.bar(title='Top 100 Keywords in Stack Overflow Questions Lemmatized', figsize=(20,8))"],"execution_count":9,"outputs":[{"output_type":"stream","name":"stdout","text":["sentence_detector_dl download started this may take some time.\n","Approximate size to download 354.6 KB\n","[OK!]\n"]},{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 0x7f7e1d771cd0>"]},"metadata":{},"execution_count":9},{"output_type":"display_data","data":{"text/plain":["<Figure size 1440x576 with 1 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":570},"id":"VrztSStTWRoP","outputId":"277ea94f-dd06-4b50-afac-8f4c4a472795","executionInfo":{"status":"ok","timestamp":1650023098621,"user_tz":-300,"elapsed":1932,"user":{"displayName":"ahmed 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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"q1pdsyNxvCz3"},"source":["# Configure Yake to yield longer keywords\n","- `setNKeywords` to increase number of keywords extracted\n","- `setMinNGrams` Minimum N-grams a keyword should \n","- `setMaxNGrams` Maximum N-grams a keyword should\n","- `setWindowSize`Window size for Co-Occurrence\n","- `setThreshold` Keyword Score threshold\n","- `setStopWords` The words to be filtered out. by default it's english stop words from Spark ML "]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Wom1E_BdLo0l","outputId":"d96605c0-47a2-411b-f11e-6adfb12556cb","executionInfo":{"status":"ok","timestamp":1650023098625,"user_tz":-300,"elapsed":29,"user":{"displayName":"ahmed lone","userId":"02458088882398909889"}}},"source":["import nlu\n","\n","yake_pipe = nlu.load('yake')\n","yake_pipe.print_info()"],"execution_count":11,"outputs":[{"output_type":"stream","name":"stdout","text":["The following parameters are configurable for this NLU pipeline (You can copy paste the examples) :\n",">>> component_list['yake_keyword_extraction'] has settable params:\n","component_list['yake_keyword_extraction'].setMinNGrams(1)      | Info: Minimum N-grams a keyword should have | Currently set to : 1\n","component_list['yake_keyword_extraction'].setMaxNGrams(3)      | Info: Maximum N-grams a keyword should have | Currently set to : 3\n","component_list['yake_keyword_extraction'].setNKeywords(3)      | Info: Number of Keywords to extract | Currently set to : 3\n","component_list['yake_keyword_extraction'].setWindowSize(3)     | Info: Window size for Co-Occurrence | Currently set to : 3\n","component_list['yake_keyword_extraction'].setThreshold(-1.0)   | Info: Keyword Score threshold | Currently set to : -1.0\n","component_list['yake_keyword_extraction'].setStopWords(['i', 'me', 'my', 'myself', 'we', 'our', 'ours', 'ourselves', 'you', 'your', 'yours', 'yourself', 'yourselves', 'he', 'him', 'his', 'himself', 'she', 'her', 'hers', 'herself', 'it', 'its', 'itself', 'they', 'them', 'their', 'theirs', 'themselves', 'what', 'which', 'who', 'whom', 'this', 'that', 'these', 'those', 'am', 'is', 'are', 'was', 'were', 'be', 'been', 'being', 'have', 'has', 'had', 'having', 'do', 'does', 'did', 'doing', 'a', 'an', 'the', 'and', 'but', 'if', 'or', 'because', 'as', 'until', 'while', 'of', 'at', 'by', 'for', 'with', 'about', 'against', 'between', 'into', 'through', 'during', 'before', 'after', 'above', 'below', 'to', 'from', 'up', 'down', 'in', 'out', 'on', 'off', 'over', 'under', 'again', 'further', 'then', 'once', 'here', 'there', 'when', 'where', 'why', 'how', 'all', 'any', 'both', 'each', 'few', 'more', 'most', 'other', 'some', 'such', 'no', 'nor', 'not', 'only', 'own', 'same', 'so', 'than', 'too', 'very', 's', 't', 'can', 'will', 'just', 'don', 'should', 'now', \"i'll\", \"you'll\", \"he'll\", \"she'll\", \"we'll\", \"they'll\", \"i'd\", \"you'd\", \"he'd\", \"she'd\", \"we'd\", \"they'd\", \"i'm\", \"you're\", \"he's\", \"she's\", \"it's\", \"we're\", \"they're\", \"i've\", \"we've\", \"you've\", \"they've\", \"isn't\", \"aren't\", \"wasn't\", \"weren't\", \"haven't\", \"hasn't\", \"hadn't\", \"don't\", \"doesn't\", \"didn't\", \"won't\", \"wouldn't\", \"shan't\", \"shouldn't\", \"mustn't\", \"can't\", \"couldn't\", 'cannot', 'could', \"here's\", \"how's\", \"let's\", 'ought', \"that's\", \"there's\", \"what's\", \"when's\", \"where's\", \"who's\", \"why's\", 'would'])  | Info: the words to be filtered out. by default it's english stop words from Spark ML | Currently set to : ['i', 'me', 'my', 'myself', 'we', 'our', 'ours', 'ourselves', 'you', 'your', 'yours', 'yourself', 'yourselves', 'he', 'him', 'his', 'himself', 'she', 'her', 'hers', 'herself', 'it', 'its', 'itself', 'they', 'them', 'their', 'theirs', 'themselves', 'what', 'which', 'who', 'whom', 'this', 'that', 'these', 'those', 'am', 'is', 'are', 'was', 'were', 'be', 'been', 'being', 'have', 'has', 'had', 'having', 'do', 'does', 'did', 'doing', 'a', 'an', 'the', 'and', 'but', 'if', 'or', 'because', 'as', 'until', 'while', 'of', 'at', 'by', 'for', 'with', 'about', 'against', 'between', 'into', 'through', 'during', 'before', 'after', 'above', 'below', 'to', 'from', 'up', 'down', 'in', 'out', 'on', 'off', 'over', 'under', 'again', 'further', 'then', 'once', 'here', 'there', 'when', 'where', 'why', 'how', 'all', 'any', 'both', 'each', 'few', 'more', 'most', 'other', 'some', 'such', 'no', 'nor', 'not', 'only', 'own', 'same', 'so', 'than', 'too', 'very', 's', 't', 'can', 'will', 'just', 'don', 'should', 'now', \"i'll\", \"you'll\", \"he'll\", \"she'll\", \"we'll\", \"they'll\", \"i'd\", \"you'd\", \"he'd\", \"she'd\", \"we'd\", \"they'd\", \"i'm\", \"you're\", \"he's\", \"she's\", \"it's\", \"we're\", \"they're\", \"i've\", \"we've\", \"you've\", \"they've\", \"isn't\", \"aren't\", \"wasn't\", \"weren't\", \"haven't\", \"hasn't\", \"hadn't\", \"don't\", \"doesn't\", \"didn't\", \"won't\", \"wouldn't\", \"shan't\", \"shouldn't\", \"mustn't\", \"can't\", \"couldn't\", 'cannot', 'could', \"here's\", \"how's\", \"let's\", 'ought', \"that's\", \"there's\", \"what's\", \"when's\", \"where's\", \"who's\", \"why's\", 'would']\n",">>> component_list['tokenizer'] has settable params:\n","component_list['tokenizer'].setTargetPattern('\\S+')            | Info: pattern to grab from text as token candidates. Defaults \\S+ | Currently set to : \\S+\n","component_list['tokenizer'].setContextChars(['.', ',', ';', ':', '!', '?', '*', '-', '(', ')', '\"', \"'\"])  | Info: character list used to separate from token boundaries | Currently set to : ['.', ',', ';', ':', '!', '?', '*', '-', '(', ')', '\"', \"'\"]\n","component_list['tokenizer'].setCaseSensitiveExceptions(True)   | Info: Whether to care for case sensitiveness in exceptions | Currently set to : True\n","component_list['tokenizer'].setMinLength(0)                    | Info: Set the minimum allowed legth for each token | Currently set to : 0\n","component_list['tokenizer'].setMaxLength(99999)                | Info: Set the maximum allowed legth for each token | Currently set to : 99999\n",">>> component_list['document_assembler'] has settable params:\n","component_list['document_assembler'].setCleanupMode('shrink')  | Info: possible values: disabled, inplace, inplace_full, shrink, shrink_full, each, each_full, delete_full | Currently set to : shrink\n"]}]},{"cell_type":"markdown","metadata":{"id":"8HIu9gluf3eo"},"source":["## Extract more keywords"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":476},"id":"sRXYVDMmYwe0","outputId":"8c8863b7-aadf-4eeb-84a7-7a50a9fa66b6","executionInfo":{"status":"ok","timestamp":1650023136621,"user_tz":-300,"elapsed":17565,"user":{"displayName":"ahmed lone","userId":"02458088882398909889"}}},"source":["yake_pipe['yake_keyword_extraction'].setNKeywords(4)\n","key_df = yake_pipe.predict(df)\n","key_df"],"execution_count":13,"outputs":[{"output_type":"stream","name":"stdout","text":["sentence_detector_dl download started this may take some time.\n","Approximate size to download 354.6 KB\n","[OK!]\n"]},{"output_type":"execute_result","data":{"text/plain":["                                               document           keywords  \\\n","0        Bitcoin Price Update: Will China Lead us Down?             update   \n","0        Bitcoin Price Update: Will China Lead us Down?              china   \n","0        Bitcoin Price Update: Will China Lead us Down?               lead   \n","0        Bitcoin Price Update: Will China Lead us Down?         china lead   \n","1     Key Bitcoin Price Levels for Week 51 (15 – 22 ...              price   \n","...                                                 ...                ...   \n","1998  Cryptocurrency Exchange Platform AlphaPoint Pa...     support growth   \n","1999  Want to Buy And Sell Bitcoin Fast and Secure? ...       sell bitcoin   \n","1999  Want to Buy And Sell Bitcoin Fast and Secure? ...       bitcoin fast   \n","1999  Want to Buy And Sell Bitcoin Fast and Secure? ...        try coinrnr   \n","1999  Want to Buy And Sell Bitcoin Fast and Secure? ...  sell bitcoin fast   \n","\n","      keywords_confidence  \n","0      0.5798862558280943  \n","0      0.5798862558280943  \n","0      0.5798862558280943  \n","0      0.5066323531331214  \n","1      0.5798862558280943  \n","...                   ...  \n","1998   0.1840422979793308  \n","1999   0.3579604335906263  \n","1999   0.3579604335906263  \n","1999   0.2564243599387429  \n","1999  0.28203029979078753  \n","\n","[8070 rows x 3 columns]"],"text/html":["\n","  <div id=\"df-73efcd95-e12d-4fa8-a086-af939c6dcc13\">\n","    <div class=\"colab-df-container\">\n","      <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>document</th>\n","      <th>keywords</th>\n","      <th>keywords_confidence</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Bitcoin Price Update: Will China Lead us Down?</td>\n","      <td>update</td>\n","      <td>0.5798862558280943</td>\n","    </tr>\n","    <tr>\n","      <th>0</th>\n","      <td>Bitcoin Price Update: Will China Lead us Down?</td>\n","      <td>china</td>\n","      <td>0.5798862558280943</td>\n","    </tr>\n","    <tr>\n","      <th>0</th>\n","      <td>Bitcoin Price Update: Will China Lead us Down?</td>\n","      <td>lead</td>\n","      <td>0.5798862558280943</td>\n","    </tr>\n","    <tr>\n","      <th>0</th>\n","      <td>Bitcoin Price Update: Will China Lead us Down?</td>\n","      <td>china lead</td>\n","      <td>0.5066323531331214</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Key Bitcoin Price Levels for Week 51 (15 – 22 ...</td>\n","      <td>price</td>\n","      <td>0.5798862558280943</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>1998</th>\n","      <td>Cryptocurrency Exchange Platform AlphaPoint Pa...</td>\n","      <td>support growth</td>\n","      <td>0.1840422979793308</td>\n","    </tr>\n","    <tr>\n","      <th>1999</th>\n","      <td>Want to Buy And Sell Bitcoin Fast and Secure? ...</td>\n","      <td>sell bitcoin</td>\n","      <td>0.3579604335906263</td>\n","    </tr>\n","    <tr>\n","      <th>1999</th>\n","      <td>Want to Buy And Sell Bitcoin Fast and Secure? ...</td>\n","      <td>bitcoin fast</td>\n","      <td>0.3579604335906263</td>\n","    </tr>\n","    <tr>\n","      <th>1999</th>\n","      <td>Want to Buy And Sell Bitcoin Fast and Secure? ...</td>\n","      <td>try coinrnr</td>\n","      <td>0.2564243599387429</td>\n","    </tr>\n","    <tr>\n","      <th>1999</th>\n","      <td>Want to Buy And Sell Bitcoin Fast and Secure? ...</td>\n","      <td>sell bitcoin fast</td>\n","      <td>0.28203029979078753</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>8070 rows × 3 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-73efcd95-e12d-4fa8-a086-af939c6dcc13')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-73efcd95-e12d-4fa8-a086-af939c6dcc13 button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 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lone","userId":"02458088882398909889"}}},"source":["key_df.explode('keywords').keywords.value_counts()[0:100].plot.bar(title='Top 100 Keywords in Stack Overflow Questions', figsize=(20,12))"],"execution_count":14,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 0x7f7e1f5bd350>"]},"metadata":{},"execution_count":14},{"output_type":"display_data","data":{"text/plain":["<Figure size 1440x864 with 1 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                                   ...   \n","1998  Cryptocurrency Exchange Platform AlphaPoint Pa...   \n","1999  Want to Buy And Sell Bitcoin Fast and Secure? ...   \n","1999  Want to Buy And Sell Bitcoin Fast and Secure? ...   \n","1999  Want to Buy And Sell Bitcoin Fast and Secure? ...   \n","1999  Want to Buy And Sell Bitcoin Fast and Secure? ...   \n","\n","                        keywords  keywords_confidence  \n","0                  bitcoin price   0.7475647452220192  \n","0                     china lead   0.3774989624964526  \n","0                        lead us   0.5619156399368569  \n","0                  china lead us  0.49160495247060043  \n","1                    key bitcoin   0.7475647452220192  \n","...                          ...                  ...  \n","1998  bitfinex to support growth   0.3685173882155852  \n","1999                sell bitcoin   0.2923195563311814  \n","1999                bitcoin fast   0.2923195563311814  \n","1999                 try coinrnr  0.15815767906792633  \n","1999           sell bitcoin fast  0.20049687371139055  \n","\n","[7365 rows x 3 columns]"],"text/html":["\n","  <div id=\"df-d31ce110-e345-4c08-97b5-11c99f8b9279\">\n","    <div class=\"colab-df-container\">\n","      <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>document</th>\n","      <th>keywords</th>\n","      <th>keywords_confidence</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Bitcoin Price Update: Will China Lead us Down?</td>\n","      <td>bitcoin price</td>\n","      <td>0.7475647452220192</td>\n","    </tr>\n","    <tr>\n","      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<td>0.3685173882155852</td>\n","    </tr>\n","    <tr>\n","      <th>1999</th>\n","      <td>Want to Buy And Sell Bitcoin Fast and Secure? ...</td>\n","      <td>sell bitcoin</td>\n","      <td>0.2923195563311814</td>\n","    </tr>\n","    <tr>\n","      <th>1999</th>\n","      <td>Want to Buy And Sell Bitcoin Fast and Secure? ...</td>\n","      <td>bitcoin fast</td>\n","      <td>0.2923195563311814</td>\n","    </tr>\n","    <tr>\n","      <th>1999</th>\n","      <td>Want to Buy And Sell Bitcoin Fast and Secure? ...</td>\n","      <td>try coinrnr</td>\n","      <td>0.15815767906792633</td>\n","    </tr>\n","    <tr>\n","      <th>1999</th>\n","      <td>Want to Buy And Sell Bitcoin Fast and Secure? ...</td>\n","      <td>sell bitcoin fast</td>\n","      <td>0.20049687371139055</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>7365 rows × 3 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" 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lone","userId":"02458088882398909889"}}},"source":["key_df.explode('keywords').keywords.value_counts()[0:100].plot.bar(title='Top 100 Keywords in Stack Overflow Questions', figsize=(20,12))"],"execution_count":16,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 0x7f7e1c960c90>"]},"metadata":{},"execution_count":16},{"output_type":"display_data","data":{"text/plain":["<Figure size 1440x864 with 1 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IAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADSzYU8PYFubjjtj1e0XHH/4zTwSAAAAgG9OZggBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANLNmEKqqV1bVFVX10YVtv1dV/1JVH66qt1TVvgv7XlBV51fV/62qH95dAwcAAABg1+zIDKFXJXnMNtvOTHLfMcb9kvy/JC9Ikqq6d5InJ7nP/Jj/WVW3XrfRAgAAALC0NYPQGONdSa7aZtvfjjGun+++N8nB8+0jkrxhjPGVMcankpyf5MHrOF4AAAAAlrQeawg9M8lfz7cPSnLRwr6L523foKqOraotVbVl69at6zAMAAAAAHbEUkGoqn41yfVJXruzjx1jnDDGOHSMcejGjRuXGQYAAAAAO2HDrj6wqp6e5PFJDhtjjHnzJUnutnDYwfM2AAAAAPYSuzRDqKoek+SXkvzIGONLC7tOT/LkqrptVR2S5J5J/mn5YQIAAACwXtacIVRVr0/yyCT7V9XFSV6Y6VvFbpvkzKpKkveOMZ49xji3qk5J8rFMl5I9Z4zx1d01eAAAAAB23ppBaIzxlFU2n3gTx/92kt9eZlAAAAAA7D7r8S1jAAAAANyCCEIAAAAAzQhCAAAAAM0IQgAAAADNCEIAAAAAzQhCAAAAAM0IQgAAAADNCEIAAAAAzQhCAAAAAM0IQgAAAADNCEIAAAAAzQhCAAAAAM0IQgAAAADNCEIAAAAAzQhCAAAAAM0IQgAAAADNCEIAAAAAzQhCAAAAAM0IQgAAAADNCEIAAAAAzQhCAAAAAM0IQgAAAADNCEIAAAAAzQhCAAAAAM0IQgAAAADNCEIAAAAAzQhCAAAAAM0IQgAAAADNCEIAAAAAzQhCAAAAAM0IQgAAAADNCEIAAAAAzQhCAAAAAM0IQgAAAADNCEIAAAAAzQhCAAAAAM0IQgAAAADNCEIAAAAAzQhCAAAAAM0IQgAAAADNCEIAAAAAzQhCAAAAAM0IQgAAAADNCEIAAAAAzQhCAAAAAM0IQgAAAADNCEIAAAAAzQhCAAAAAM0IQgAAAADNCEIAAAAAzQhCAAAAAM0IQgAAAADNCEIAAAAAzQhCAAAAAM0IQgAAAADNCEIAAAAAzQhCAAAAAM0IQgAAAADNCEIAAAAAzQhCAAAAAM0IQgAAAADNCEIAAAAAzQhCAAAAAM0IQgAAAADNCEIAAAAAzQhCAAAAAM0IQgAAAADNCEIAAAAAzQhCAAAAAM0IQgAAAADNCEIAAAAAzQhCAAAAAM0IQgAAAADNCEIAAAAAzQhCAAAAAM0IQgAAAADNCEIAAAAAzQhCAAAAAM0IQgAAAADNCEIAAAAAzQhCAAAAAM0IQgAAAADNCEIAAAAAzQhCAAAAAM0IQgAAAADNrBmEquqVVXVFVX10Ydudq+rMqvr4/N/95u1VVX9cVedX1Yer6kG7c/AAAAAA7LwdmSH0qiSP2WbbcUnOGmPcM8lZ8/0keWySe87/jk3yivUZJgAAAADrZc0gNMZ4V5Krttl8RJKT5tsnJTlyYfvJY/LeJPtW1YHrNVgAAAAAlrerawgdMMa4bL59eZID5tsHJblo4biL523foKqOraotVbVl69atuzgMAAAAAHbW0otKjzFGkrELjzthjHHoGOPQjRs3LjsMAAAAAHbQrgahz6xcCjb/94p5+yVJ7rZw3MHzNgAAAAD2ErsahE5PcvR8++gkpy1s/8n528YekuRzC5eWAQAAALAX2LDWAVX1+iSPTLJ/VV2c5IVJjk9ySlUdk+TCJEfNh78tyeOSnJ/kS0mesRvGDAAAAMAS1gxCY4ynbGfXYascO5I8Z9lBAQAAALD7LL2oNAAAAAC3LIIQAAAAQDOCEAAAAEAzghAAAABAM4IQAAAAQDOCEAAAAEAzghAAAABAM4IQAAAAQDOCEAAAAEAzghAAAABAM4IQAAAAQDOCEAAAAEAzghAAAABAM4IQAAAAQDOCEAAAAEAzghAAAABAM4IQAAAAQDOCEAAAAEAzghAAAABAM4IQAAAAQDOCEAAAAEAzghAAAABAM4IQAAAAQDOCEAAAAEAzghAAAABAM4IQAAAAQDOCEAAAAEAzghAAAABAM4IQAAAAQDOCEAAAAEAzghAAAABAM4IQAAAAQDOCEAAAAEAzghAAAABAM4IQAAAAQDOCEAAAAEAzghAAAABAM4IQAAAAQDOCEAAAAEAzghAAAABAM4IQAAAAQDOCEAAAAEAzghAAAABAM4IQAAAAQDOCEAAAAEAzghAAAABAM4IQAAAAQDOCEAAAAEAzghAAAABAM4IQAAAAQDOCEAAAAEAzghAAAABAM4IQAAAAQDOCEAAAAEAzghAAAABAM4IQAAAAQDOCEAAAAEAzghAAAABAM4IQAAAAQDOCEAAAAEAzghAAAABAM4IQAAAAQDOCEAAAAEAzghAAAABAM4IQAAAAQDOCEAAAAEAzghAAAABAM4IQAAAAQDOCEAAAAEAzghAAAABAM4IQAAAAQDOCEAAAAEAzghAAAABAM4IQAAAAQDOCEAAAAEAzghAAAABAM4IQAAAAQDOCEAAAAEAzghAAAABAM4IQAAAAQDOCEAAAAEAzghAAAABAM4IQAAAAQDOCEAAAAEAzghAAAABAM0sFoar6hao6t6o+WlWvr6rbVdUhVfW+qjq/qt5YVbdZr8ECAAAAsLxdDkJVdVCSn01y6BjjvkluneTJSV6S5GVjjHskuTrJMesxUAAAAADWx7KXjG1I8q1VtSHJ7ZNcluTRSU6d95+U5MglzwEAAADAOtrlIDTGuCTJ7yf5dKYQ9Lkk5yS5Zoxx/XzYxUkOWu3xVXVsVW2pqi1bt27d1WEAAAAAsJOWuWRsvyRHJDkkyV2T3CHJY3b08WOME8YYh44xDt24ceOuDgMAAACAnbTMJWM/kORTY4ytY4zrkrw5ycOS7DtfQpYkBye5ZMkxAgAAALCOlglCn07ykKq6fVVVksOSfCzJO5M8cT7m6CSnLTdEAAAAANbTMmsIvS/T4tEfSPKR+blOSPLLSZ5bVecn+fYkJ67DOAEAAABYJxvWPmT7xhgvTPLCbTZ/MsmDl3leAAAAAHafZb92HgAAAIBbGEEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgmaWCUFXtW1WnVtW/VNV5VfXQqrpzVZ1ZVR+f/7vfeg0WAAAAgOUtO0Poj5K8fYxxryT3T3JekuOSnDXGuGeSs+b7AAAAAOwldjkIVdWdkjwiyYlJMsb4tzHGNUmOSHLSfNhJSY5cdpAAAAAArJ9lZggdkmRrkv9dVf9cVX9RVXdIcsAY47L5mMuTHLDsIAEAAABYP8sEoQ1JHpTkFWOMByb5Yra5PGyMMZKM1R5cVcdW1Zaq2rJ169YlhgEAAADAzlgmCF2c5OIxxvvm+6dmCkSfqaoDk2T+7xWrPXiMccIY49AxxqEbN25cYhgAAAAA7IxdDkJjjMuTXFRV3z1vOizJx5KcnuToedvRSU5baoQAAAAArKsNSz7+Z5K8tqpuk+STSZ6RKTKdUlXHJLkwyVFLngMAAACAdbRUEBpjfDDJoavsOmyZ5wUAAABg91lmDSEAAAAAboEEIQAAAIBmBCEAAACAZgQhAAAAgGYEIQAAAIBmBCEAAACAZgQhAAAAgGYEIQAAAIBmBCEAAACAZgQhAAAAgGYEIQAAAIBmBCEAAACAZgQhAAAAgGYEIQAAAIBmBCEAAACAZgQhAAAAgGYEIQAAAIBmBCEAAACAZgQhAAAAgGYEIQAAAIBmBCEAAACAZgQhAAAAgGYEIQAAAIBmBCEAAACAZgQhAAAAgGYEIQAAAIBmBCEAAACAZgQhAAAAgGYEIQAAAIBmBCEAAACAZgQhAAAAgGYEIQAAAIBmBCEAAACAZgQhAAAAgGYEIQAAAIBmBCEAAACAZgQhAAAAgGYEIQAAAIBmBCEAAACAZgQhAAAAgGYEIQAAAIBmBCEAAACAZgQhAAAAgGYEIQAAAIBmBCEAAACAZgQhAAAAgGYEIQAAAIBmBCEAAACAZgQhAAAAgGYEIQAAAIBmBCEAAACAZgQhAAAAgGYEIQAAAIBmBCEAAACAZgQhAAAAgGYEIQAAAIBmBCEAAACAZgQhAAAAgGYEIQAAAIBmBCEAAACAZgQhAAAAgGYEIQAAAIBmBCEAAACAZgQhAAAAgGYEIQAAAIBmBCEAAACAZgQhAAAAgGYEIQAAAIBmBCEAAACAZgQhAAAAgGYEIQAAAIBmBCEAAACAZgQhAAAAgGYEIQAAAIBmBCEAAACAZgQhAAAAgGYEIQAAAIBmBCEAAACAZgQhAAAAgGYEIQAAAIBmBCEAAACAZgQhAAAAgGYEIQAAAIBmBCEAAACAZgQhAAAAgGaWDkJVdeuq+ueq+qv5/iFV9b6qOr+q3lhVt1l+mAAAAACsl/WYIfRzSc5buP+SJC8bY9wjydVJjlmHcwAAAACwTpYKQlV1cJLDk/zFfL+SPDrJqfMhJyU5cplzAAAAALC+lp0h9PIkv5Tka/P9b09yzRjj+vn+xUkOWvIcAAAAAKyjXQ5CVfX4JFeMMc7ZxccfW1VbqmrL1q1bd3UYAAAAAOykZWYIPSzJj1TVBUnekOlSsT9Ksm9VbZiPOTjJJas9eIxxwhjj0DHGoRs3blxiGAAAAADsjF0OQmOMF4wxDh5jbEry5CTvGGM8Nck7kzxxPk4QboEAACAASURBVOzoJKctPUoAAAAA1s16fMvYtn45yXOr6vxMawqduBvOAQAAAMAu2rD2IWsbY5yd5Oz59ieTPHg9nnctm447Y9XtFxx/+M1xegAAAIBbpN0xQwgAAACAvZggBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0MyGPT2Am8um485YdfsFxx9+M48EAAAAYM8yQwgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoJldDkJVdbeqemdVfayqzq2qn5u337mqzqyqj8//3W/9hgsAAADAspaZIXR9kueNMe6d5CFJnlNV905yXJKzxhj3THLWfB8AAACAvcQuB6ExxmVjjA/Mtz+f5LwkByU5IslJ82EnJTly2UECAAAAsH7WZQ2hqtqU5IFJ3pfkgDHGZfOuy5McsB7nAAAAAGB9LB2EqmqfJG9K8vNjjGsX940xRpKxnccdW1VbqmrL1q1blx0GAAAAADtoqSBUVd+SKQa9dozx5nnzZ6rqwHn/gUmuWO2xY4wTxhiHjjEO3bhx4zLDAAAAAGAnLPMtY5XkxCTnjTH+cGHX6UmOnm8fneS0XR8eAAAAAOttwxKPfViSpyX5SFV9cN72K0mOT3JKVR2T5MIkRy03RAAAAADW0y4HoTHGu5PUdnYftqvPCwAAAMDutcwMoW9am447Y9XtFxx/+M08EgAAAID1ty5fOw8AAADALYcgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANCMIAQAAADQjCAEAAAA0IwgBAAAANDMhj09gG8Gm4474xu2XXD84XtgJAAAAABrM0MIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoJkNe3oA3Ww67oxv2HbB8Yfv8LHbO35njgUAAAB6M0MIAAAAoBlBCAAAAKAZQQgAAACgGUEIAAAAoBmLSjdkAWoAAADozQwhAAAAgGYEIQAAAIBmBCEAAACAZgQhAAAAgGYEIQAAAIBmBCEAAACAZgQhAAAAgGYEIQAAAIBmNuzpAbB323TcGatuv+D4w2/mkQAAAADrxQwhAAAAgGYEIQAAAIBmBCEAAACAZgQhAAAAgGYsKs26Wm0R6u0tQL0zxwIAAADrxwwhAAAAgGYEIQAAAIBmBCEAAACAZgQhAAAAgGYsKs0twrKLVW/v+N11LAAAAOzNzBACAAAAaEYQAgAAAGhGEAIAAABoxhpCsJssu+7R7jr2po4HAACgBzOEAAAAAJoRhAAAAACaEYQAAAAAmhGEAAAAAJqxqDTw/9k773C7iurvf1ZCbyE06RhREURRaoQgRVGQIkiTqhEBpUVR7BgpiiCIdFEgAoJIVZpUkxAIJQmETpQiChZe+VEC0lnvH2v2vXP2mdln5tx78WDm+zz7uffss86cOTOzZ9asWeu7gDwC6lyy6hwi7IKCgoKCgoKCgoKCgoKhR/EQKigoKCgoKCgoKCgoKCgoKJjDUAxCBQUFBQUFBQUFBQUFBQUFBXMYikGooKCgoKCgoKCgoKCgoKCgYA5DMQgVFBQUFBQUFBQUFBQUFBQUzGEopNIFBQU9hRwC6oHKxuR7QTYmP6e2RUFBQUFBQUFBQUHB4KJ4CBUUFBQUFBQUFBQUFBQUFBTMYSgGoYKCgoKCgoKCgoKCgoKCgoI5DMUgVFBQUFBQUFBQUFBQUFBQUDCHoXAIFRQUFBT0PN5KPqVe5l6KyfeCbEy+V9qioKCgoKCgoKCgFcVDqKCgoKCgoKCgoKCgoKCgoGAOQzEIFRQUFBQUFBQUFBQUFBQUFMxhKAahgoKCgoKCgoKCgoKCgoKCgjkMxSBUUFBQUFBQUFBQUFBQUFBQMIehkEoXFBQUFBQU/M/jf5lgu5eJyWPyvSAbk+8F2Zh8aYuhl43JF3L7goKC/0UUD6GCgoKCgoKCgoKCgoKCgoKCOQzFIFRQUFBQUFBQUFBQUFBQUFAwh6EYhAoKCgoKCgoKCgoKCgoKCgrmMBSDUEFBQUFBQUFBQUFBQUFBQcEchkIqXVBQUFBQUFBQUFBQMMR4uxFs9woZdy/8vl5ui15ut5h8L8jG5P/X26KO4iFUUFBQUFBQUFBQUFBQUFBQMIehGIQKCgoKCgoKCgoKCgoKCgoK5jAUg1BBQUFBQUFBQUFBQUFBQUHBHIZiECooKCgoKCgoKCgoKCgoKCiYw1AMQgUFBQUFBQUFBQUFBQUFBQVzGIpBqKCgoKCgoKCgoKCgoKCgoGAOQzEIFRQUFBQUFBQUFBQUFBQUFMxhKAahgoKCgoKCgoKCgoKCgoKCgjkMxSBUUFBQUFBQUFBQUFBQUFBQMIehGIQKCgoKCgoKCgoKCgoKCgoK5jAMmUFIRDYXkVki8rCIfGuovqegoKCgoKCgoKCgoKCgoKCgIA9DYhASkeHAKcAWwGrALiKy2lB8V0FBQUFBQUFBQUFBQUFBQUFBHobKQ2hd4GFVfVRVXwUuAD49RN9VUFBQUFBQUFBQUFBQUFBQUJABUdXBL1RkB2BzVf2ie70HsJ6qHuDJ7APs416uAswKFLUE8O/Er327yfZKPXpBtlfq0QuyvVKPt5tsr9SjF2R7pR69INsr9egF2V6px9tNtlfq0QuyvVKPXpDtlXr0gmyv1OPtJtsr9egF2V6pRy/I9ko9ekG2V+rxdpONya+kqksGpVV10C9gB+AM7/UewMldlDP9f1W2V+rRC7K9Uo9ekO2VerzdZHulHr0g2yv16AXZXqlHL8j2Sj3ebrK9Uo9ekO2VevSCbK/Uoxdke6UebzfZXqlHL8j2Sj16QbZX6tELsr1Sj7ebbDfyQxUy9iSwgvd6eXevoKCgoKCgoKCgoKCgoKCgoOC/jKEyCE0D3iMio0RkHuCzwOVD9F0FBQUFBQUFBQUFBQUFBQUFBRmYaygKVdXXReQA4FpgOHCWqt7fRVG/+B+W7ZV69IJsr9SjF2R7pR5vN9leqUcvyPZKPXpBtlfq0QuyvVKPt5tsr9SjF2R7pR69INsr9egF2V6px9tNtlfq0QuyvVKPXpDtlXr0gmyv1OPtJpstPySk0gUFBQUFBQUFBQUFBQUFBQUFvYuhChkrKCgoKCgoKCgoKCgoKCgoKOhRFINQQUFBQUFBQUFBQUFBQUFBwRyGnjMIicj8IrLKf7seBd1BRBbo4jMjReSDQ1Gfgnzk9Mdg9p2ILD4Y5SR8z6DUWUSGi8jEwajTfwsiMkxEFvkvfO/RKfcCMln1fTvMLSLygSEse1Tg3jpD9X0FzRCRpQL35nh9p9NzKiIHisjIxLLmDdxbbCD1G0qIYYXOkm9fiMi4lHtvFQZz3QuNrdC8+3aFiCwoIsPc/+8VkW1EZO5BLH9pV+bWIrL0YJU72HD63nn/7Xr46Ga/1evI1Vly1ob/dYiIBO61rYfRz/cSh5CIbA0cC8yjqqNE5EPA4aq6TUR+feCdeOTYqnpOQG5JYO+A7BcCsu8FTgPeoaqrOyVlG1U9MiB7cKBazwEzVHVmQH4UcGCgHm2/T0Q+AxwNLAWIu1RV2xYxEdkAmKmqL4rI7sCawAmq+njk9x0CrFSrw6YB2XHABGA2cAbwYeBbqnpdQHZ9J7OQqq4oImsA+6rqfnVZJz8J2MbVYQbwFHCLqra1qft9P/DqXLXFu2pyw4H7VfV9oe8MlDsfsB8wBlDgZuA0VX05IJvTHzsC16jqbBH5HtYfR6rqnYEyo1DVSwNlhxTb2ar6WkA2qd2c7CTS+yNH9mZgMjDFycwO/1oQkT8DM7Ex9wdtmJy66OucOue0243AZ1T1uYQ6XAqcif22NzvIXg/sqKrPutcjgQtU9ZMR+THAe1R1gpvvFlLVxyKy5wNfAt7AMkIugs0XPwn9PlX9WKd7Xcjeqapr1u7do6ptm8Kc+jr5SaT3tQC7Ae9S1cNFZEVgaVW9IyCbvI54n1kKmM+T/WtAZgowL/Ar4LymsSQiRwA3AVNV9cWYnCd/J7C1qj7pXm8EnKyqbUYoETkxUMRzwHRV/X1Ndm3gu7Q/I8FNfer4zJxnFwX2pL0/DgrIJq+RTv7XuHlLVR8KyXiySfO9k50FHKqqF7rXXwP2UtXVArI5ukhOfd8B/AhYVlW3EJHVgI+o6pkR+QWArwErqureIvIeYBVVvTIgm6OLTCL9OT0Sy1Z7J3AWcG1sfRCRq4BtqzVRRJYBrlTVtQKyKwNPqOorIrIx8EHgnGrejZS/HO36000BuXcBJwAfAd4EbgW+qqqPBmTvDT2Tke9PrnPK8yQi92L6T9vHaX6mc+oRmu/vUtUPB2RzxtAxwJHAS8A1rg5fVdVfB2Rz1r0cPfkWYAtVfd69Xg24UFVXr8vmItI3zwHTsTnm6Zr8cOAdtTqH1pycdW8GsCEwErgFa7tXVXW3gOy8wPa0z8mHR37fF4HvA3/ExttG2J7vrIBsznjL6b/kfZzTZzdV1VdDv2egcM9r335EVS+LyCXvtzLn75y2SO7rzPGWrLO493PWhhxbwHEkJsTqhTZ28mf5v0VEFgJ+H9LBg1DVnrkwpWAEcJd3796I7LnAVOBU4CR3nRiRnYotiju5xt0e2D4iOxlYt1aH+yKy5wN/Ao5z1yzgImzC/EZA/m7gIGATbOLbCNgoUvbDwKqJ7XYPNpmuAdwF7A9MjsjeDXzZ/ca1qism6/5+ErgUeD9wZ0T2dmCFlHZz793l/n4ROKz6HRHZh4AtMKVm8eqKyP4eeyhT2u1CbIO+ibt+CVw0GP3h/o4BJgFbArcH5Ca46yrgGeASd/0fpsCGyv4LptD8G3ja/f8kNhmuVZPNabec/siRHYVt2n4J3IspMsdHZAXYDPiNa+8fAe9taOecvh7K8fZXN45OrK6I7MeB84BHgB9jC0ZjfTvdc/fHA1cAf3Kvl8U2VrGyZ7q/u2Hz1tz1tsCMGIth88VI9/9i2ML00ABkv+zGwYvYvFVdjwG/7ra+A+jr04BTgAfd65HAtIhszjqyDfBn9zsfwzaE9zfU+T3AUW7cnw9sFpEbiyk9DwJ3uPb4dEO562Dr0dLAp1wfrRCR/QVmbDrQXZOw+ely4Gc12VnuN47ClO6VgJUGOj7Jm2enAj91bfK56orIJq+RTn4TbKNyPfAoNi+Pi5Xt/jbO905mGdcWF7m2Ph1T6kOyObpITn3/4MZwtb7PRUTPcu//FvhG9d3AArhnciDtTMZz6t4TTBe5gP71YeWA3N7AZViG23e6On0iUuZM9/vfjelyPwGubqjD0dgafLXrxyuAyyOytwF7uPLnAnZvGBdnA+skjvvkOqc8T3jPb+gaSD2AXVwbPYPNI9U1EbhxEMZQtTZsh63BI6px3SDbcR0hT0/eEntWF3Jy9wMf6tDmW7nf9n/A89ih6/MBuWOwdeED7vohcDzwTeCKmuyBmF54P7bG3tvw+3LWvTu98r/ht2VA9hr654uvVVdDO8zC060wXWvWIIz7nP5L3scB57j7hwIHV1fD73svpvtehxm9/gj8MSJ7qpMb665rgFMissn7LfLm75y2SO7rzPGWrLN4n0ldG3J0uC9iBtDbMUPyiIbv/6+3sZM/HDjVa+OpwNimtmv5fKrgW3EBt7m//iCPTWgPgnk4JZQb7JiI7LRAHWIdexOeMoctCJOB+YEHAvJBZSBSdnRDF5CtJuzvY6eNffcCsjMyyq0U3ROA7ertEvpttXYLLszuvXsx5fg6nCLU0Nc57XYTtrjeiKeARGRDfdR2r4v+qBTdo4Bdm9rNvXcdsIz3ehnMyh2S/SXwSe/1J7BNxeh6O2W2W05/JMt6v+ez2ILwAHaa3qk+m2CGrmfdM/WRAfb1UI23z4WuDp8ZgS0wf8NN2MDcNZkZeMYuTDmPPdMzsQWx47zp3rsfU4Yvwhmk688qMA4zZLyCbTAfc9fdwAENso91kB2BbdJ+Q+vGY7GB1HcAfV3NnR3nLfLWkbsx5baaCzYBzuzwmeGYgvIktr49hHmfhWSXxg4X/op5CDaV+xFsk3UHsGSD3G3AcO/1XJhXw3Bq8yJ2epnaFsnjky7WvRxZEtbIWn+MBr4NPE7NuOnJ5c73+wNPuL5bv0EuWRfJrG9uudMD8rFnJEcXyVpH3PtrAD9zz8Zp2Kb6mEgbX+G+o6mNq/oeAhyY0HezgHkTx1zbb2lot4eA17HDgnto3swn1znneXLy78CMFVsBS3WQ7VgPbG7fGJtHNvKuNYG5BmEMVRuwM4DNO7Rx8jpChp7s5LfF1vJ7aTjE8uQfxjxcGvcwod/ttc+9gTKDB1cNZaQ803dha8htwPtD313vj4x2m4pFhFSv58G8Xwc67nP2Ocn7OOxwo+1qKDvHMPWQPx4wSpcHI7LJ+y3y5u+ctkju65zx5t5L0llqn+m4NpChw3mfWQU7wH0cM+Zs0ott7H3mGODnmIEpaOyKXX0uSD2C+0VkV2C4c7k6CJswQrgPU4r/kVDulSLyKVW9OkH23841UQFEZIeG71gK2wRVeA1z735JRF4JyJ8gIuMxBajvfQ24lgPTReS3wO9qsm1hRMBsEfk2dgL1UbF431iM7xUish92guaX+38B2Rkich12CvxtEVkYO+kO4W/OjVHF4ovHYZuaGA4HrsU2FtOce/WfI7ITReQnmJdSp3Y7tOE767hTREar6m0AIrIe5sESQk5/PCkip2PeLkc7t78mvq4VVNUfY/8CVozIjlbVvb3vv05EjlXVfaU9VjSn3XL6I1lWRB7BTq3Ox07wDtRIuJQYh9Du2Knqv7ATqcuBD2FKXD22OKevqzrfMpjjTVXPFpH5MePNrE6VqP3GuzCPoTGYIWljT/S7wM0iMhnbTG8I7BMp9lVVVRGp5qwFO1TjdOyU+27gJhFZCTul9H/XCdh8daCqntRUWKbsc5h77C61MKIlRGSUhsPcOta3hpyx/Jpzs6/abknic1zOOvKaqj4txlUxTFUnisjPQoIuFGgsdtJ8PeYufaeILIttpC71ZM8AVsOejynADph3YL3MK2gNNVgAa/czRQQNh2GPxJSTKmRtQcxQ90ZgPRvv6nIjnefDnPGZM8+eKyJ7A1fSeS2r1sg9gA07rJFVKOiCWPtPwQwWT0XEk+d7EbkB+DuwOnbCe6aI3KSqXw+IJ+simfV90c1DVbmj6e/zEF51c1wlvzKteo+PHF0keU4WC1/fE1tLzgAOUdXXXPl/Br5Rc8UXbA2dCYx26/xPA0W/JiK7YPPv1u5eEz/Ko+792O/38QcR+RZ2aq3AzsDV4sK+a+M0GAocQU6dk58nEdkJ87qYhLXfSSJyiKpe3G091MK8Hsc2eKnIGUNXishDWMjYl9383Rby75CzjnTUk0XkJFrn2BGYQe8AN8e2ha56+Bu22dMGGbC90LrqQmvEuFSGu/deD5TZMXTdIWfd+wpmZL5MVe93z+nEiOxUEfmAqt6bWI+HgdtF5PeuLp8G7qme5dozmzPuc/Y5yfs4VT0M+kJxUNUXOvy+11X1tA4yFR7G5qwqNHIFdy+EnP1Wzvyds6fN6euO461LnSVpbfDEc3S4KgTzfe76NzZ3HCwi+6rqZz3R/2obSyv9yO3Y3ugObHx8JqI/tZfTeT566yAWh/ddzOsBTFk4UsOcLhOxjeIdtD7wIT6e2Ziy9ArW+E28BO/CXOfXx9xcHwN2V9W/BGQPxVxVK36FrbEN7HHAL7QWYysiR2EK6SP0Pwyq4bjWCfV7TjYU67g0sCt28jdFLD5zYw3zKYU2XKphfpRhWBs/qqrPOiVyOVW9JyC7BOZJ9HGsfa/DXNafrss6+flC/RqRDS0+wXZz8ithG80b3JgargHuGhF5ELP+VjHWK2IngK9Ti53P7I8FgM2xU5Q/i3EYfEAD3EtO/mQsZOQ37tbOwMOqemBA9jpsE3aBJ7uZ+75p6sXp57ZbKjL7bhxm8FgBs9xPBm5S1UcCsn/CQkEnqOoTtfe+qaohIuKkvs5BTrtJBu+ZiFyGjbdzgV/5RkARma6qa9fkl8BO/MG8J/8dqe/XsfGzGeal8AXg/E7GmVoZc6lqXcGs3kvlalsQ+CpmHNtHmuOoxwNru/ff64wfF6nqBgOtbw5EZDfsGVoTC9vYAfieql4UkM1ZR27ATo2PApbA+FHWUdX1A7KTMUXmYlV9qfbeHqp6rvf6Mizk6gH6n6UQJ8lGTb9bVScHPrMX8D36N4QfxVyvfwP8QFUP8WR/jSlJ99O6loXmw+TxmTnP7o+FUDxLvyIZW8uS10gnfzx2mvsK5jZ+E3BrvX+cbPJ8LyLbqurvvNdzAd9W1SMCsjm6SE5918RC7FfHDtaWxPjK7o60xWbYuFgNW9c3AD6vqpMCslntnAoROQzjcwjxyKyqqg+6OSWKajNX++xqmLfmrar6GzGex51Ca42TvwQ7ia4bQkO8VSFdy/tIGwdiKs9Wcp0zn6e7sVDVp9zrJYEbVHWN0A/IrEcON1jus7oY8Jya4XpBYGFV/WdINvDZ4DqSoieLyOeaylbVsxu+dx3gCGwO98fRTwNyZ2GGesEMWF/E5t0t1XGROdkzMf3iqqYynWzyuud9pqMRREQewEK6HnN16MRDlfzMZo63nH1O8j5ORFbH9LeKy/PfwJ4a4ZkRkR9ga39Hw5TTA9bB9rS4/6fjjHy+Tpmz38qcv3PaIrmvI+Pt0Nr4zdZZ3Oc6rg3e6xwd7njMU/KPmHf3Hd57s1R1Fe/1f7WNI/N8heB8H0JPGYRyEBs8sUHTRfkLAsM6bS7dhF0p+beoaszDBBF5GFhNh4iQbLAhGSSxXZT9MP2n3FOw0/zU042mcvfGPCkWU9WV3ab056E6O2NCFKEJJqMeySS/Tv4zmBcI2CYvRia3BOamOsbdugU4DFs0VlTV2IlC7Hu/oarHSPtpFxBVdLP7zikTY4GvA8ur6vCAjGjGhJTZ18kErTkQI1zcFJikjiBTRO7TAKGkiGyiqrGTtUrmfar6kNu0tUHD3l3VgvQJbMG4VlWvb/iOxekfQ4qRqR8eUSbOBVbGTtrf6K9GcFz8Fgt129O18QKY+/eHArIzMZL6O712ayGVFpHdVfXXEibhCyq67nPJ5P1O/n3Ax7C2u9FXILqFWz9edmXuhp0enxdq4y7LXxXzKvgqZgRdvkE22WjqjBnrupfTVPXvEbkWhSihvsnjM6PMR4F1NWIoDcgvjf02xX5bx02jmFfs57F5a2lVnbf2fha5fTdI1UWcbGN9ncy82LO8CtYfs1z5Ua8XN2eMdvJR43QOcuZkMS+m+6s2EMsQtaqq3j7AOiwIvKyqb7jXw7GQsP9E5INGgKbNf2I9sgzkkuGVmlGHFmJrsQPBuzWR7LpD2Q9jno8d51YROVpVv9npnru/AMbjknIIkUXQmgI3Xs7RAMFyh89dB7yAhZj1eUpowGjp5Ee495sSDgSNKw1lJq17Ylkwz8GMIAL8PyJGkJhO3UmXds+zpsxxQ4HUfZyITAW+W+lxYuTWP9LAQY97P8cw1ZVBJAU583dGW2T19VDoWbXyOybwyCxvLEYO35a8Q0RG1J/FXmjjgaKnQsYkI7NOysPRzeaqvvkQy+IWzRyGues/iWtLEVmxYSDeByyKWYxjde5mg56SSWJTVf2jRDJbqedSJpZ9awFgCdcH4t5aBFguUu+zMQu133fHxSyTqvpusZOfDbFQiVNE5NnI5nEEtoH9qLs1GdvAhhbH/TGl/3b3PX+WQKpf997jrvyUTEDLY6eqlYI2xf3eJwKyfcodRso6N/Br77OhulyKFxrSIPdvbLMbQosxKLHdqkk5asgM1CGn747DDA8LYeGf38faLoQlROQbGHm53x8xj6bkvsa4lw7B3MZR1XvEso70bT66NEC8pqrPSWu2x5jr9WpimVX8Z2QXVT3VkzkYM3IdF6oCZnxqgdvU/FFVrxdLYb2KiMytgcxzDhdgHgTbu9e7YcR1Hw/Iro0ZsVMMdSur6s5ibt2o6n9E2tNgOqSEEVX3Fk74bh+/w8ITryDeF7jvrTaap7jXi4jIev5Gs5t1pKZENG4W3SbmKOx0yR/3IaVxK+y5+yi2lvyR+PPUYjTFDHvLYfHlMaP+MEzhnwt4t4i8WwMZlDBX5tVU9YGm3+b9luuxcLhYPbPXPWy+C27cA+XXs9mcJCLBbDZO/gCsndfCwkzOItDOal4Jszqs+365o7F1ZFWML2M43IkSKQAAIABJREFU8IKqjgjI/gjjQPDni6+p6ve6ra/DrWqepH0bOrHMLsHx7Z7hLfAyxIgXxuJkZhPoNwK6iIeOc7KH02r1eyFwr6pLTobGG7F5r/J6mB874Q1u8HIMP2KhHF+mf/2dBJwemZe3wxnI3ff83Rn3QuX2eaUCoyTgldrl83SNiFxLq6dyNLRCMrJxAv/K2ABuhpEm+9gicA9Mv5pBf389iYWXtxmEsBP555x80PiZoye712+IyEoiMo/mHfQuqwlZyOpGrGo5DRmxYoafBlSHenMB84vImqG1DHs+D64ZQX6J94yIyCJqWdayDDpi2Son4NZ4EXkO+IKqzvBkYlnwANDWQ6Ss/vOQuo9bUL1DPVWdFNFdqvfrNAdRqOpkSTy0yNlvich2mH54lXu9qNQ8VWtobItu+lpEzlXVPbAogfq9umyyN6GT3xpLLrEstrdeCdvXvN+T6eagdXdVbfG8EecQETAGVXN81SariYW5hXQnGII2dp/L2ofX0VMGIWAJ9VIIquoz9Q2eiNysqmMCCkho0GRvrrAN0NrYZgLMZewe4EsicpGqHuPV5UBsw/0v7MRNXLlB90hMgX9IRKYRD3PL3qBjJFKdTl82wpThrQPvKa3GiH2xuOFlscWz2tQ9D5wcKf+Dgb5rSylawRlYNsCU2DUw5fTmiPhZmDFtJ/d6D2wRCU36r6jqq9XCKeaSH1xMRGQbbGxEJxIPEzAenB3d693dvc0CssnKnatHaJPwYmgCFDtV/Trtp1yhsdyx3VT1Cve3T9EVOxlcyE1Iofrm9N2t2KbmX5H3fZyHGSa2wlyDP4dtTmNI7mtgAVW9o2afqLuKd2OAyOE927syPEDfM7I3ll2iureP+7tJRh1uwnhRRmJZCaZjynzs1HIZbQ1ROVJEdo7I5nC15cRRXyjGu7Koa4MvYEpmH1S12ijmKrovq2oohXoIKRvNbox0OUrNBGwdOR4jnx5LnHNsc0yJP0Ej3js1JBtNReRobNy0hIFh46uO0cBMsRPQTu7iIWNBlTr5a2ohb92sey+6OkykQ/gOZnj4sDoPLbHTvKnYHBnCfJiSOUM7hyaOxOaBO1ydqnqEPNJOxgj2L8L0jD2xTDQhbKGq3/HKe0ZEPoW5pmfX1202lsM2fx+m9aBngfjP41RsPGyK8f7MxrKYrePVLddoC2lzcl/1faO0qr7p5vsQluykR3qYT70QGFV9QczrpPXLRS5U1Z1im9PQuMfmkbnpn9/3cPe+GJDN4dn6AfZMT3LfPVMsvNBHNwc9h0h/2muw8IWgp7LDmZiH4gz6vUdb4G3MO3IZiciXgf2Ad4mIT0uwMPE1NecQYnlV3bzh90CenlzhUeAWEbmc1uc/6MHqcLWIfEIjNAIeUoxYP1PVr0g7B0tVj1D4+hGYJ+Ej3mdie6IUI8j5mN42w5Xj94ECISMh2Py7n6pOcfUag62H/vO0lfu7v/tbhVDvTvvvze6/zH3co2IhP34dQiHb2YYpyTu0yNlvjfefYzX6j/HYs1ivQ0pbdNPXLXsqMc+6tSL1TdnP+jgS00duUNUPi8gmWL/4SNbhpAuHCEy/qDAfNj9X0QMtGMI2hsx9eBs0k8F6KC8yMusMYR1yGMCTWf2d/Eahq8NnFiKSltaTycokkVHfAzNk7wZGeq8XozmV7ZvYJiWaMtmTbWOGD91z948BvoNZojfDYnd/2FDnpExAmXW4w/2tmPUXpDnr03QsTvQuzBg0Fjiqoc6pWQty6nw+NuEtiPGTPIGRsw2074Zhk/Oh7vWKWJhHSHaG+3uPdy+YmrKLvv4D5iFR9ckOwB9yn4lAuQtgPCbTXD/+ENtkhGTvhZYsElW4SUh2R4wLAWwDeCm2oQ3JJqeFde/9FNuUDnPXTsCxEdmJGH/JtXTO5LYZNlf+P8y49xeM+yFWj80wEtNjiaRZ9/p5EWxzdaMrf/cG+V2xBfcjmGFnTWDNjGekMdNR4rjISZ9ejft76/cGoR4t2UgwI3Ise1FSBiXo4xdaqX5F5I/ADhkWdv24D2Ys2xkLtQx9JmXd+1zg2jMim5zNxpMZg0vZivHsjIrIJa/r9Gcj8ee4WKace/z+wHSQ4HyRUl/XPhMxg85E77qcSDY797ncDDF+PZZoaLfkORmb/w7C5oCKRPV3EdmcDI234M0N2Hp6a0BuGa+s1HHf1kaxdsMOeU7HNpd7YwcpQf2LjGy83vsdnycn9w5sM52SZaxjNk5scx+7zqrJdpOBcqp7LqoxtDJO/wrI/gLj9mqsc+5FZuYp95nZmB71Es1p5ztmGcLpf+TNQ7Pw5sMO5V+GkdS+013fwwimB6Pt2ua+hmc1WTazDjnZ2UYCJ2KHvXdiWa1GBuQOc387jvtanyzuvV4cmBWRTd5vheaGBtmsPW1Ce33bje3XvXE+G3ia+B4nNzNitabejYU+Q8P6lFBectbchjJWAC55K9q423ER/PxQVGoAP2ZzjOD3XCzE5nG8FNsB+TWAA9z1wQa5uTFl4mJ3HUAtzbMn+5D/HjAvLn1rfULClKlg6sxI2Uen3HP3V8cMBI+7NpmBS/kYkD0B86zYBfP++AzxdMUjsA3hdHcdB4xoqPP62AZrz+qKyO3p2u4IzGL7ELBHh77b39X7VixGea+I7K3AGO/1BgSUNvfeMEyhusj19d4QTu2ZM5FgG9HdsU38cPf/jRHZZOWuVo+UTUJOOs2cdpvp/u7mxsTcxDeOOX13GpZu/kH3eiQRIw/9iu61WCjah4FHGn5fTl+/C7gBCzF5EvNoemdEdj73+07FTrDOIrKI51yY8eNCLFznY+7/4yKy97i/Y7CT4C2JKOAkpoXFKZ30K6Ovu+tNAsqo+0yOkrkYpsRsiW0oopvBzHarxuZ22Kn0CJo3pEdhBs3J9G96/xiRTd5oOvnVMQNap/kwJ336VDeWL8XWpu2IK4KjMePjC8Cr2AlTsO+cfK7RtOOmMTa+GmRDG+OZoffIW/fGdbqHnQwejM1Rd2HeFeMxZf5XDXUej3kJ/8m9XrapT7GN68fd/wvgjLkBuZswY9Q5rm++GhvLWIjMzcBe7roZZ/AdSH3JTEWLGf+H07/pXpL4+pRTj5w5eSks1PUp7GT1fCIGCzL0SMzL6REcFx6mrAcPWLzPJKVmd2Ns5drvjW5gSTeQn4npZPdgZO0nYdx5Idmc52knJ3e2G5+PATs01OPHrr4dDe+5F+lGxeRDCOyg61Vs430PdkAT03Gy9GT3mSSjW2Y7ZBmxsLlldXcF9zhO7pKmsVuTrRtBTiBgBPHkt3Fj+Fhgqw5l/wzTlTfGdItTXbu3jSWMx3AD7/X6xA84k/uPzH2c97nhwCKD2NfJhxZk7Lcw/fWnmLF0Zff/rwajLVL7mojxJyKbvJ918je4Z+8kzJh8QkO75dgCkh0iAp8Vag4kQ93GueMidPUcqbSkZ9YZh20AK9e77TAX11DmkjOwgVCFxewBvKGqba67kscAnszq7+TvVC8LlLvXQqTq3U8mL5O8TBKXYGEgflusoaptro2SQSjr5Fej30Xuj9qBX0KMaHgMFnq0uyt8pYDch1x9R2AP2v9hDO7BrCipkLxMQCthE85HMJe9qcBBGuGNkDyS35swHoMzgH9i4Tmf10B2D8nLWpDcbiJyP5ZR7nzgZLV45rtDdXDyqX13p6quKcadU5EHB8sV40eZglnXT8K8CQ5T1ctDdegGkkDQKiIXYRPprliIxG6YQWtcQDY5hM+F4u1LP3/L9cAZ6ghNa7J3qbm/HoVtvs/327AmuxHwNWzjdbQLH/hK7DnNhaRn7bsFC3N53r1eFSNGXd2TyeYaEUfS7ebxi1X1mg5jM5m834WSnIjNW4oZfr+igZTdzs16Y4zr52qM1+JmVd0hIHsCFmqXku55HSzEY1FsIR+BhVneFpCdTiDkSFW/Hfl9wzBjQt9chI25tj6QvAxKZ2PzxLTQ99Zkb8XC4ar01TtgnBSjRWSmetxjmeteaD1teUaki8xT7nMdSc892dxEBv/ClP2vYn19igayLjr5LfDmC1W9dqD1de9tSTtXW5BcV/Iy8WXVw72fTJqdilQ90snOjelxYIbYGPca0p6afUPMk7YtNbuIbAr8CjsYEsxoOFY7JBboBGnNxls900doOBtvzvOUm2Us9Ds0svblcJ6MJ49gO4nMVTIIWjP15KzMU+4zHw3d1xrniORlctrY1fcvTm4F4HP1Mp3s2tge5z46ZGnOgYj8GDOynudu7YIdAH4nIt/0LLSMJTH+lwnYnAmWXfILGuaCzem/nOxs52N0Bm9gBzOLYOHbP4n8vmT+UxE5B/gA1i8KfBozXN4Tqk/qfsvNr4fSzxF5PZa9O0SWnNMWuX09EjNg+2tOaGwm72e935eUwCPFFtBluJ/P1VZl5/6LqtZD14a0jd1nqnGhwMRO+/CWzwb0wrcc0h358z3AR6pB7QbFrZGJsm3z0GFDkcoAHlQ260qmeLHR2GlUhYUxS2Yb10dunVNRV8Bj99z9B+lAKCuO/Eos9WcbQoYK97npmPfVVFy2qtDCXP8uV2aQ28bJJBMdujHzEvYAD3omoFRENgmnaiBjmGRkLfA+k9JuB2En0ndjHh4rAr9W1Q0Dssl9JyK3Y8/SNDXD0JLAdSHDRi4y+zpEFB0ki/eMMfeo6gfdhmGKqo6uF+CU6J9T41FQjxSxG4jIldip+WbYRuwlzBV+QM+/V37q4pyz2d0S+AbwKSwl+TnAbvX27aKuP8YMty9hoZKLAleq6noR+d8B+4SMOgOsx72YweQuVV1DRN6BPSNtPGK5Sk1GHaar6tr+JrtuBAl8JikjkWRkUBKRh7CNyuMYb0bTRuVd2KldZUy/DZvnnsS8MW72ZDuue2J8IbtiBmmfOHlh4M3Q2MyFiNyhqutKv0G7Sb+YieNp8owgLRmbPNlxqnpCp3tDXN+fY15Mm2CHEDtgc8teDeWnZiTKqcf3Q2VowDDl1o29aTe8xzYJjfNbN0q/+1yS0USMI+MgzOPBNzbFeGCyiFRTkaNH1sesDG6WsbY5KjZvSVoGyuBeoUJoz+A+twb92VynaORQMVNPzso85WSu8F72cY5ozZiWacSaAexazfNih1W/UdU2rhaxA8DTac9yNtmTCXISebIhbqJ7gA+p6pvu9XBsvYwahFNQPU+qerykZVzL6b+kfZxfhpiRfE3gW1i/xQzvOYapjocX3e63UpHZFsl9LcaPNA5YHnMwGI2tC7GEMUOCRP3iMFUdn6PD1XSn1zFj0C2ROgxJG3ufWQMzQCoNc1wIvUIq3Q35s9BKZFeRM4XwhoisrO4UzimoQRI8hyTG+VAHRnA+5o5/FDaBVJjd8AAnkZe5+iVnwAJeEpExlRLuNtUvReqQQihbJ7/qqxbN5FdbqGoTYTASyfok/ZkWQp5YHYkOPSwF/EPtZO1st3F6BxbfWn1XcrYOySM898t4XETmwYwwl9BwSqkJWQu6bLdT1CPiFZG/YhuGEDr2nYcTMW+mpUTkh7jT5Vq9gm1bQeOeLjl9nUwWD1Rt/6zY6d8/sbESwuuqelqH7wbyDFiY+/7mGLfPs2LpwH3iOqQLMkn3ueDiTHiezcnad5Uznl2Pbc63U9U/1b47qMh4ZbTNh6r6LRE5BnhOLavLf7DTsxg6kvfnPNceXlIjs31dzMj6FHYKG/odYxvqV9UhW+EG/uPmipmuTf5BnIAaMeL8n9CQkcj7vuQMSljK+ySokUaHSD6hnYw+Zd2biv3uJWjVGWbjTlPrcBv3nAyGHUnPPeSQ238OM475+Lx/r8t1JKe+66sZuu9xm4zjMP2kBbVn9Sn6s08hIotFdJecevgn1PNhc3KMSPT3mF5zAx3m+sT5bSPyyYPBPJl8Q/PTBJ4/N0/toqrHExmTNXQkUu1yvk/WI0nMMhbTL7x6hPSLYSIyUlWfcWUsRnz/kUKwHdor9FWBMJlrParg1yISjCogT0/OyjzlZFrGnYisgIVPVa+7yTI0t3pGf1X9k1uPQ/iPdk68cGzGd/tYFPNGh35vnigkwVuxep6A45sMQR6S+6/ax4l5vaMeyXwAc7s23RbzkH2tGqcRrKyq23uvDxMzeEbr0QHJ+61u5ouMPW2F1L4eh3m63Kaqm4gdMPwoJChG6rwX7WPiCzW5mLd5JR9aJzvaAlR1vPvbUYfzPpOsOw1hG/tz3CXYmGia49rQEwYhVd1H7DTiezGrWgATgNtFpGJP3xbbIIZwCDBRRFpcd0OCksAAnvuguQnsOczdC+lPc76QiCwUMjZhitRh2OKlmDIUO12eQHoGrC9jxo9qYD2DKaQhLAE8IJY9JbixUtWtxDThjSK/I4ZhYq5zy6rqFmJubh9RVb8Pm7I+xSaC51S1TbmN4CJa08u+4e6t491LztahqmPc36yMKxJw9RWRz2n3J5rdtNufReRiYIKqPqiqSjzjS0rfVfU6T+zkqjpd3jag9FZtuwEWjvNb93pHLO4/hpy+Xh6LSX8B+qz0V2GW9BmYQl7hF2InzIdi4aILYdkfQrhCRPYjIYSPDAOWqv4HuFRElhKRFd3th2pilZKfq7glL84kbHYDRpURmCfkAWKpN33jSihrQoWgAdmNnzOxjcozal6hbe7OHhpP2hy6yWo1XUQWxTa4MzAen1trdc0xNFX99hnM8P5r93oXbP0JYQ+Mu+AAbCytgKUljmE87RmJWozK0kUGJWfETj1tz/Hu6LjuqZ2OP455HKUiK4Ohqh4rFvb7PObh8X2Nh/1OFpHvYNm7NsO8gX0PAN+raZRYNqIKC9Ov7FXfnb2OZNa32hj9Rywc52lgmYBc/Vmtxkb0sCenHqrasqkXkWOx8KcQFlDVUNrxEDrOb90o/Q4ho0lsDbpFRE7Gxp2ffSrkvZKSlr2b+T5Zj9T0LGPdZOM8DrhVLBxbsIOhH0ZkUzJQ5mThrLAXsJ72RxUcjc3foc1Sjp6cY3SL4Qksy2yFbrIMTRcLianWkd2Ir29TxMLRL6dVb7nT+39y6IMdcBRwl1goWJV84FsxYYl4K0bEc56n5P6TWsifiDSF/J2O6el3AzeJeXBFPe/JMExJwqFF5n4reb7o0tic09cvq+rLIoKIzKsWEbRKRPZcTNf9JB5lQ6BOC7u6H4EdEJ3r6rEb4fUM8mwB82K61Ttp1VsO92SCOhO0e0y/BW0MeXNce6W1B0LGKkgH1/eA/Jr0L15TVPWuBtl5SXPdfRhr0GjYkIispaozxLg72hCbSEVka4zQqyXNuaqG0pwnQzLcI733U8KIkn+fRFzkG8r+A2a0+q5a+MVcmCtcyM1+g7qhMHTP3f8xtmG6lMhC58mG2i3mTr2j1jgTQvfc/dFYNpjZ7vXCWOjd7XVZ935HV1/pzo0xp90WxrhJxmInnmcBF4TGR0rfSReurSJyG0aC/bp7HQ3Vcu/n9PVDGDnja+71vJg7/Pty551auckhfCJyu0bCnAKy22BKdDVXrIiR27fNFSLyMSz0NHaCWZefpqrriJ1Uraeqr4jI/ZGyj8Fi9ffEspjth5HlfdeTCYYaVdA8z5NQfd+NjcudMQV3AhZ2GFy8ROTo+uYxcm84Rur/9S7q9E6MUPKe2v2tVfWKWJuE2kJcGFine91ARG5T4+rxObzq4RfLqOo/JC88IYfDrwotrYdVXjKAn1bNsydhG6l5sLngRQ3zUM1Q1bWkNdRumqquU5ftoh4deZpc244i4CWMEdu2GN/d2LxfVd830PoF6nso1m4fwwj/1dX30EEo+2Dgt6r6ZBefrRIOvDvw3pHYHNfmsRKQzZnfxmHzyWzM6LAm8C1tSAdeM5pMiRhNkDyOnWTOsaGEiCwNrIeFEU1T1X8OYtnJHJOSx8G4OnaQ5G+izwnI3YtxRL7sXs+H/cao3pqoJ4/EjG5j6De6HabOGyrymWTOkcBnJbT2OZ1mf7yxiVEPtO11MsfmY4Q3sEHvfzFv5mpevaNpDEl/WH71dyEs02CIqiC5zt5nUvovO+Sv9vm56vO3957P4wnOMKVhHs/rMGPX1/EOLep6i5NN2m+5deQcDdCS1OS63dMm9bWY48ZY4CvYHPAM5tH2qYBsMmWDk8+lhEm1BVyDo5WgVW85zpMJ6kye7OOe7JC2sZPNnuPqleiZC7Nkbg/hTEE12dF4mTwwcq/1IrL7A4t6r0cC+0VkJ9IF43zi78tJc359oM7XRmRzMmD9KFDukQ11Xom07Clnu4GY2hbT3F8/dWosY0BbZo7QPa//6lcsw9D1wDbe6083tFtOHe7yxzC24DdlFwmlhRyM1NfJda7JbISFTL7o+vXduX2HcbyAkSE+6l2PAY9GvncWXopZNzaD2Za66OtDsVDQ8e6ajnn9LIjxRvmy82Kn+d9xMt/HTroH2h/JWVnImyvOBv6EcbP8BAuDaMoCchnmhvoDLOvR74GrI7JJmdyweee82HdGyh6Jea98tLo6yA/DMi48iWXMOYxASuLIuI9lkwlm3Wuow3KYV2FSnRPLfBB4l/d6FC4rn3fvXvoJJtuuhrKTMxJl1vkeLFSier1gQxsH5/WIbM66Nx3jMbrLjb+xxFPZJmUwxEjCoT8jX3UF00IP5eWeyxU7yAyovthc15g9KbPO44H7sc3oAcA7GmT9MX0/ZvgOpvWlPzPiy51+H3nz293u7yfd594fmj88+VHAfN7r+YlkRststwmBK5aeegP3nPyJzmtqzvP0RWxe/RX9HstfaKjz8q7NnnLXJcDyNZlF3N/FQtcgjbeJmEflBCy8++KI7MHYuvoDd83EEgiEZJP1ZLpIZY9t9qtrN7zsWTW5w2uvhxFZZ7E5eLj3ejjmWTfQNl7cu5bDNvWHR2S3w5tP3HO4bUPZt7u/t2GHX/MCDw9CnXP6L5QFM5b5cRy21xRsbb0T+ERCfRahQ0YyXAZhWrMNxzLyJu+3sLDseRLksnS43L725DbC9LhgnTCjB9jcvToWqRKc35zcVPcMDaefDzaWZSzHFnDfQMfhQK8unqfkOS509ZqH0GxsUnsDc6tryjxzF7aZUvd6GJa+u41sLuIJEiO0y2EAz+EE6Tv1FSMm/LAaH0XMIyWHhG8lEjNgRcpty9bi7ucQyiaTjDr5SZjx73o18snR2Gn9Rp7MR7DN11ewLDUVFsH4SQZKsL0yFkqwrLv1BJai7xFPZguMJHcn+kOZqjqspqrrBsoNjbemjC8TsDHvu/oOV8/rRyLx+hX88dlNu7mThC2xTdU7MffL87CQkB+p6ns92Ul06LtuICJjsedpIvS5R/5AB+hh4pWfShafcjLQTSaCiWHR4Klc8lzhfWZZzOX661g4X8eQYHdaMQK4RhOycnUo62Zg05RyJJNkUEQ+iI3NT2Gb+vOwk9A9qmdNuiPvPw1Tci+i1Q091H9HY15KD9CadTFErpmTfW5zLL2w78a8r3oZpXJOompl1zMSXYMpxqGMRMnEtjknUZneHTnrXjLBtgxhBsNcPSCj3Jsww9UdtI7NrjIBxeYqr9xB80Zxz+vO2DrxhKp+PCDjj+nXsbCpWJhyt/VonN+8U+gTgEmqellsDDn56RgH06vu9TzYWrKOJ5O8VncDp2u1hR5rOKtOzvM0C/ttT7vXi2PPbTC0Q0Sux0Kb/FCp3dQj2ReRK9XCXB4jwHniPyPSXQbKZKJ/J58UVZCpJ0/BDBkTgPM1jeMmCU43/JOqHuU8Gy7EfusPArK3YYe3VVj8QpgnbSijXDKhe6ReMzRMVp2813LvhbwVf6mqwfpJYnbEzP67DDPs+ON4LVXdLiB7txtnn8Qyxh4KnBsq18n/CMsY6mfX+5qqfi8gW3nzXotxb/4dM26uHJDNSepwDuZFezmt60hoT5ujw3Xsa+mCM9LphpdgNC0TMMqGQ1X19Eg93olx8G2AjZ9bMCPIX7qps3f/F8BJqnpv029wsh29lSUeXgaEQ/Nznyf3fnLkVB09wSFUQfO4V1rcJt2GKfZ7hov0u1m6ze88Edm/umueBpkKOaS2YCS1C2GWz/NE5CniXBhvikdm7ZSn4GBym4FUJXG4WAznK67c+bHFLIRkQlkySEYdDsYmqJXF0lUviW1mfcyDTQZz0Rqv/nxdVrogOnSGn9HSTCb3d+wkehusnyvMxvo+hEfFsnZVZMP70RxT/iWsrSt+kSlYdhIf1e9fBXMfrDYyW9Mec53cbh7+jBlifqKqU737F0t7itSUvgNAjC/jN8Dv1XhxolDVCWLhaFVY1Tc14B7ZTV87JJHFY6ecmzfVlS5ISTWP9yB5rhCR3THD3QewlLcn05p9qZILLc7VYrcQNS4T95mtsFTo9c1uiLDvUSzOv6PiQR7J4AwsbO1MLJyjMtTf7jbjFboh758P41DxDTXB/sN46lbRiItxDRdh2efOoDNf1DVixvYqPOih+nfEDD4JWEYtvO+7HSUTiG09TCCdw28c8B0ReQUjbG8aQ8nrHhkE26p6pfv3OeJk+X0QkROxsN1bO8mSrwekIjmEK7G+1Vy1FGYY/6N7vQl2iDSY4UlPYd4aTxMh5FfjoRqOJXKYC1hWjHMsdJBVcUOMUtUjxEh4l1HVOzyZ7PkNmCEWqjEK+LZY6PSbAbkKc/mbJTV+tbqemLxWS3fk9jnceTnP09O0khjPxkuwEcCSqjrBe/0rEfmKL6AZnCeZ+n+FjkT/0hq+/hd3Ve/FyNGT9WRV3VDsAGAsNp7uwLgY28LcJM7XFtvQfwFb/7+NPadXq+rPCGM+X4dV1RfEDgRCSCZ0l9aMbsOw5ByxvVZo/o3uM1X1CPfvJWKZVeeLGdQkj28oZ59T59m6mQivDPRxOX0KMwTd78Z3DFuolyJcVZ8RkU9RS6zicKQY59HX6D+0iO0xcvZbj7hrGJ15v3J0uJS+9jmwVsRCxQTzdPkrNu+2QFXPcP9OJp6UyJf/C81JRnwDX5dzAAAgAElEQVTk2ALGAJ93xuxXaDC6YTr3ZzG9b22MYuG9NZmt3N/93V/fABmbk5Oep9ra9xfS5rg29JSHEPSdYvXF4qrq7yJyl2JEmf6mexNV3TYgeyw2GCsL477A31T1awOsazIniJNPTnMu/afGk7GBuCF2anyNJ5OtTIjINzHFpFrIxwJXqOrRsd8n/TGdc2Hu1DFPl8oyqdipWTD1pyc/F6Y0CQ2ZtURkpU4bIhHZV1VPl4yUfjkQkblj9QvILoVZ+DfF2uJGzGLdlgZbMrkixE6Nt9RWfqKrVLVutOlrN6coafWZSLkLRQxiMfnUvtsIOyneEpgGXICFk73sybxPjWQueMpSH0fd9LVEyOIjVvnkk4EciJ1e/ogEMu7MueLf2IL/c2CiBk5GnFx1SlsnqIx6NIhxqn0GuNc3wEfKz+mPHJ6Pd6llqsqC9JP3V/XIIb0PlfcHYMeU50QiJ6g1ma5SX+dARCZjXljTMCPhTbFxLSK3qOoGofc8mVGq+pj7v+uTqIbyO657nuxK2PM8D6Y4j8A4Mx72ZLrKYCjGAbUzNsddhvGpxTwKs/SAHIhxuqyL/YYop0tmfa8DPqeq/3CvlwF+parRTYaIjAHeo2a0XxJYqBoHNbn9MG/aJTHl+EKNcMXU5uTKCBObk09zMpuq6qpiJ+3XaatnTmh+qxCb3yr+lkfVsjkuDiynNW4wT/56bG243L3+NOaNHfKa7rhWS3ecYznceTnP0znYocLvsXb8NP0hfW2bQhG5EdMjK4LtXYCxkbboyHkSMej1IbSpEZFTsdDuz2Ib6RewENWxnkyyl5L3mWQ92fvMcMwwfiJ2+CbAd/x5XBL52mq60NzY3uUWnNE90te3AAdW74nIWlgmrI7k+2LeR9eq6saB93zP5texzeax6mU082TPwg5vTnG39sciDD7fqQ4JdczhG8rZ5+xV18FE5Meq2kbeK+axtRxmyFgDew4nxdZ6sbTh69QMU9NDek4uuthvpewDcnS45L4WkV8Cl6nzEhaLvNhWVfcNyC6OedxWHj9TgCNCum8ucmwBnZ7RmmyOt3KO91pSG3ez9oXQUwYhN7m/m9YMDo+o6v4B2dCme5wG0mG7RX8foHJbvh5zS2w7CZKM9LQ5C3M3EJElsFAKsJP0f9fez1Ym3Oc2x2sL9UITanIdCWU92e9jWaGqxW9b4CJVPbLh961Pe0hFiAwwN2XwoEPsBP8o2skLBxQW4Mr+PbaQd9ywirl1f9BbYObFYo7b3LpFZG1sQaxOBZ7DOAFmeDLdbpiS+s6TH449q3sDm2urK+Uv1DINJodU5ULSyOKrU7u5ML6VR+lwMiCWdWpP2tsiZIxNJlLPhYi8HwuxG+PqPktV9xiEcicCHwvNlQMstyPJoHQZeiEZ5P1iaUdPwOZZxTIyfMXf7HrPyHKYEngjrfP9QZ5stak5yH13NPucdEEU3w3EPBjWATbGFKCFVLVt8yUJxLbST858Y2jj11CHkdi49OfOmyKyjeteDmJro1eHxnBU15/bYxvOFVX1PQGZnA16cniZmOv89zFPHsG8Eg9X1bMGWN8HVXVV7/Uw7FBi1bqse388duq5iqq+Vyw09SINGA/FMhf9VlWDqZVrsh3nZE/2TrXwZJ8cvTGENhWZY7NjmLknm7xWZ9Y3a51MfZ5im0HvC1o2hZJHVXA2ZpyYFit/oJsaiRD9d4sMPbkKZ94S21ucqap3uufkVlVt21hKh8QHkT6uEOxrsZD4CzCvdsHm8s9qxDBc+2yU0D0HYgdZh2Ltplh7HKkdvMMTy64OqG/DDqmexuatYJ0z+u9q7LDtPPf6ZGB+Vd0rIJtrQA4Zpi5X1WNC8qnI2W+l7AO6rENyX0vAIBy65+5fj3nG+xQaG2sg7LiLOufYAlas34PwwaKY8f/jmOfaPzFv5c+H1iexQ9D91SX3cXupUzWQBGoon6cQes0g9BCwqmoLL1BQUZG8DErjVPWETvfc/Rym96HcwLYp3DElXPIyYCVl4HH3O2ZP8WRnAWtoP6fE/NhJTSz+/FxgZYw/xOfjCG2kc/pkFGa8eietG/QQz0efS2nTPXf/Zuw083hsgh8LDNNArLPkpVmuJpMkrggR+S52AuuHalyoqm3hNmKnE/ur6hT3egw28fgZhrI3TDl95+Tnx9psZ4xI+UpVPbAmMwzzlml7fmPI7OuJwGbawFEhXfC0iGWouA0LTXjTkw21W+UV429qGrMBpkDs5GcDbMO4IUbCd5uqNvZtYtnrYCFjk+nMqdaV4VYiPB+5GxTvc3djRqYb1DwbNwF2jyh4t2GnL9UhxGcx4+x6nkzyM5K7qXHjfgdVvbDpO7qFe+Y3dNei2DM7RVV/E5DtaJgS4+67CEvre3xAODQukvmicta9twIisi42b30aMyq2hYjm6AGSx/+SxemSUd+TMQOIf/D2cH1O9uRnYuvTnRrJVFeTT/Um6jgne7K3Y2Fu05xhaEnMQyjGTZLqaZ7LZTZKVR8TL8xcPK+5mmxorf6tqh4VkF0bC+usDIW48oNtnIpeeZ4kk2Myo9wNMD3zRbHQ6TWBEyJrdY5OnaMnT8Y2ghdrLdOniOyhqucGPtPmEdD0TKXAGRzfxMughOmoIX3WD1kbjnn0Ha6qJwdkR2C6b+XZNtnJtoV25exFciEZ2REz+29+LKzzLGBz4FlVHRepQxW6+i5VPdwZDZZWL3Q18Jkkw1QOcvZbKfsATzbHISJn33kt5unjG3k+qgGvVBG5T1VXr93LymIdQ6YtoHpGBGuLUdhBa+hgsaO3sie7FjbWRriyn8EMdKEDpOznKXXtC0L/yyza/gVcCazkvV4Jc/MLyeZkfQrJ3hWRTWZ6H6I2mA/LwHA3xoBeZWR4J8YtMRRtMRgZrSbSyt6+KJGMT+79B6FzNrncPnHtdhAWZ7xRdQ1Cu1V1uLd+LyA7FSNn3Qk7rd0e2L7h920Uuhrk18KU2HEY4XBMrm2Mx35fZl/n9N2FmIvxz12fDMupb4eyc/r6TCw2/NsYB9LBwMER2ZwMhsntiYW4Ll59xn3P5EHoj3swzqldqWV5GYSyr8NOoQ6jP0Pb+AbZvdz42Ahb9I6OyB4BbIaXqWoQ6zzdGx/Dqv9jbRcaVxHZocriMj1DNjnDkJN/HeOA25aETCMJ378K8E3sBGx8/Yp85l5sXZvpXr8PuLQmk73uDeWF8Sn9GSPh/jze2jbAcm/PkJ3q9xmmbMayp2TVF8tecry7tusgW2V9qeatpoxy44ErMCJcME+aWyKyOXPybtim7Qngh9hmd8eI7KluLhrrrmuAU7odmzX5kM4Q1APce2uStlbPwngKR2F670p4unBAfkts4xbMgvlWPE9YpqN6xp5YZrSVQldD2UkZKLG1T3DE0lhIxeSazGDp1IOhJ3/ZjbkXac0U+RhGhl3J7e7+Hhy6Muoc02f9fliOhszKGMHvYRify7uwZzz4jOTUwXs+6tfKTfVxn2vMjpjSf7RmvFvJjZ+TaciAh1GUnILLAurGU+P+EONI2xrjkFlqoGPIlZm83yJjH0CeDpcz3hbDPLHvctcJDW38U+xgbpi7dsJCFJvao3E+7FDnpH2HG5tnRN77DDBvZh+OaBrDuW3s3kte+0JXT5FKYy5tD4qRsim2IEwXI7hCVbeR/gxKS0prSMEimILeBxHZBdskjarK8L4nRrJUcaH8Q4zR/u/YYPbL7ZbUNgX7YmEUy2IkuBWexyYrvx5VBqzlxEglKyyCbQR82b4MPM5iXGFhLDa5DZJHKPsccL+Yu59im707qnppu/fIfZhL6z9C311Dxz7x8LKqnhh5DwAxXoblgPlF5MP0n+YvgpHWhfCKO83/s4gcgJETLxSRXUADJxExqOrkVFknP0NE/oaz4EucHHmyiJyOnQQrdhI8SVx8unoWaXcy8E3aQ+JCJ6U5fXcmsIuqppCt3igi22PKhibId+xrDzlk8adhk3+FFwL3Kpwrlo3vSiKhQR6SybhzoAM8Ze2AZbV2WtOAxVX1THfiMhkbf7EQgUcxzokTxbLLVPw2v68LimWw2ov2U6tYSFUOef8fRORbmKt99YxcLS70q9aPN2InfRWH0PzY4hvK4rI/5obuZxfZRVXrZPEAN4jI1zEvSN9DMDSGcgmMl8CMSB8FDhKRNzEPiL5TVcngolPjjThaRGbXf4uYx14IL6vqyyJSeWA+JCL1k8zkde8twiOYx2I0XK1LPWCiiPyEtDDzhzHi7hZOl+r7qvLdqfXsTvWt4VbMm+BNjF+qCRe6dWRRN9d9AfhlRHY7nDeRq+PfxbhzQkiak926+xim8H8MW6+31Tj5+aa0epqfjaW1DyFlbCJGev9+YIS0cn4tgjcn1eH6NYVC4P9pYsY7SSPXfSuepw9W8xuAGmFu0GNLjcswifMk5rVFK/F/hddVVcW4nE5260/dE9Rvixn063shnTpbT85EauKDBb3vbUSOPiv9Ic11HplFxAjdQ2vOyqq6vff6MDGvQb/c5L1IDadielVl2Fsde1ZHiMiXVfU67zv61lQ1zsEFRGQ/fx3K7D+f8Lj6u6W7lDCh8XrqQlehb8w3zV07AT/BDgMFOElEDlHViwOyoXXkOczgXA/BzdlvJe8DSNDhuulrN67GiXmbvakBHiPpzzIo2PNaedYNx3Sur4fKTpkPu7QF1H/DnSIS4wrcGjheLNrjt5i3e7AtxDz5tsdFNojjJFcvW94Anqecta8NvWYQCqYarCEng9JUbNO6BHCcd382jigvgBSm9+TJ2ock8Aeoua6dICIHqupJHYrMyYDVTQaen5FIKIu5RV/mvZ7UQX4J4AFn/PMV41C2tBz2/RPEQk2uI65wfxI7RV0es0ZXeB4jKAxhHDbpHIQZyTbFQtdCuFJEPqUJaZZzISLbYGO54kdZEXgIU1brqOJXx9fufxibeH0F6zxsItsSLywvUo2cvpuCZW9ZUY0n6D0YF8WVAdl9MaPJ6yLyMs0GSEjr6+peDql4TgbDV7EF/7v0b6bblAkxDqWN3JVCxj0kqaxd2cdhJ7kpC8XVIvIJXzFrQLLhVi07zQSnzO6ELfb7EJ5Tz8XG+CeBwzFvgaZMWJ/GCLm/Sj8hdyyd7k7ub53c8LO092NOFpe9VfUUT/YZt5kOGYR2dn99rryYQpqTYQg1noNHscw7y2PGq7lrYlVbduSa8PBF2n/LxZj3Yh1PiHFt/Q64XkSewUJH/HrmrHsAiGX2OYT2MJvB4Jb7JbCrGKF5LDSgGz2gUijX9u7V5+IKVXaYCpWxtOX73IZ4J+3P2NMIaecmOklEotxEqnqsiGyGrY+rYKevbRmUHF519akU0gUjcslzspt/T1ELD3so4SMPY+tiNcZWcPdC6Dg2HVbBTvgXpTWz5GwsPHygGC8iZ9DOTxYill9f+8l1D3Pzecuc0M3z1AWGichIVX0G+owNwXVS2jlPJohIjGMyOQMlMFssA9fuwEed8bBlfstsi2705GSohVk9hx2GIP2JDxYSS+zxVyd3uvub8ozE9NnZtOuzvhGkrXqE15yXRGSMqt7s6rwBtr766CYbb/W5vSpdRCzRxuGY8fdSTLerkLKmJvefqsYOMJrwmtPlqvltSZqzEn4XI5V+ypO/AVsr61jbXVe411th+9QvuWfF5x3K2W/l7ANSdLjsvhajHjgLt3aJSBuPkXaXZRAS5kO6sAXUDHTDMMPl30OyqjpWROYGtsCe7VNE5HpV/WJA/Pc4Qx/eXF9Dt89TztrXhp7iEMqBJGSe6jVIAn+AdJF5RhIyYElr6s1QuaEMDhMZAkJZV/ZGkXpkecsEyj0K2ANTpP3MJaEY2O1V9ZKBfF+kDrOxzcKr7upk2MgpO5kfJbPciizWZ8mfpl4WF082ue9E5LfYeN9TVVd3G+ip6vHmiOP+EpH51Ms+llDnnL7OiY3OyWD4KLCuJpzMi8gdqrpuJzknm8w1kgu3IRyLKe8TsHTVsVSv1VjumDJczKNwCrYIVYbbwzRw8u02P6thcddTsNCRO0OnKtKf5bDKLjI3Fhs9ui47lJCMLC5i8ecf9E5qhmMu6+/3ZHZU1YskI4uaZCYycOPzIayNp2DhP6+GZBO/v/KUOAYzxlRYBDhEO2RPkThfVDfr3t1YKGr9GWkjy3TGo9OAd7h56IPANpENKZKQ1aqXIAmkvZ5sNjdRRj2+jvETbYZtyr4AnO9vxEXkZ6r6FRG5grBHWogD7ljMSyTqPeqVNwIzKFSe5uth437jDnUPjs2azEdU9damcrqBiPwaC1e7n9a1rM0LUhLIdbt8nkLets9hIa0hz809MYNDxWexI/AjDScGyeE8yclAuTR28j9NVac4w+3GoTo4+dVp94I+x3u/Gz15ZQ2QijdBEhMfSDjpwVdD68UQ6rMfwsIDK86T/8OyFLZtpEVkrtAa3lB2iC/mPjdHt/ArJq6p2f2XAxHZjX4uzLMxJ4TvaYTTRWrcN85gebeGyZRvAj6l7tBJzMv5KozXaIaqrjaQuqcgU4dL7mvJ4DHqos5ZZOMZ5foGtCq73iVNexSnm26O6dcfVdUlAjJtY76hvKQ2HujaV6HXPIQ6olImgJPFnUL58JUJEblZVcdIvyta31vENzXJhMCSQWrrkHK6uxF2ctdGBul+Q+jE6J1uc9yUAet8zOIcOiGInQx8A/MQ6Egom4sUw490lwFrR4zwLWXTc4uInElDGvCY0urVoa2vNdPSLSJr1TcxIrKVhr1oXlPVp0VkmIgMU9WJIvKzSLnJZIDkeXfkGO1WVtWdxVw2UdX/iEj9dOpEzLNgKuGwrBhy+rrygNqKzh5QX3J1+h70ZTDcJyL7MJDK+H+LGKFrPTQotJnP8gTJgaqeAZwhFhoxFgtDuQXLtjCxJps8lr3x+hzmvtuExTHDxrOYgvnvhoWvGpvPOoX+n8BSqfUaRHwFuEhEWrK4RGSvAX4r5qoN5oFUT/X8bWwzdTHp4z7HwwTg3Zpo0Jc0YtuuPCWc8v4OLPQHrO38MNdu1r3XVfW0wP0QfokZsKqT93tE5HwglgUzOTQgRQ+QoQ0zBxsXu4lICmnv07SGjMx291rQjf6kad5EVSjAsWk/DUjzHs0prw1N65q4sErMa2yXwGdjCRVWwgi2b3BGkLk0nPZ5nQyD3JViXk0/wcLBlPYQvm6ep/kwo1S1ud0ee17XEJFNnN7dX4jqOSIynf655zOq+kCkzn935VebqXmxsPsQUr22UNV/4nnFqHnYxIxB47FMi6sBV2On+TfX5LvRk88SkeWx0Msq9PneyG+rcCRm5Gk52AvInY9x1mznXn8WC/3xkx7srqq/xvYBbfNLbG4R8zavdMNJEX0TtXClNcSSV6CqzwfKulBVdwLuiuzLYhv/+53x/QL3emfM+3xe+tf9Cilrajf9lwxVPU9EZpAWugpwjRihsk/gH4scWIpWj5HXsAOMl0Qk5kkyqEjR4brs6zcqY5CTuVlEkg2HHRCaD8+o1bmbtSw5qkAsxGtnbH6Z5L5/p4j4VBH5QNMc0UUbD2jt6/tefZt5CFWbZxk6D5Op2KReP3Vss7yLnVCeSXuGoWAdZIjS1EtGBqzMcq/DYjfrvy8n/GYg3x8LyarqEcrk9DtgH3Uumh3K75gG3Btnn8E2MRVL/i7Av1S1zX3PGTx2A0ap6hEisgKwjEYyEYjInZgHzX3u9S5Y6uu2eFURuQEjiD0Kc398ClMmQzwml2B8P1U77YGd0rWdGuacDOTAPU8fwzgD1hRL2/sb9TxlnGX/Hve7LqiX0aBs5/R1sgdUDsTSp78fI/kLpiL3ZCfW7xH3aMpJZZ2V1c59ZjimOI3F+vxCjN/hRVX9rCd3CTbHXdPJsNCFgRwRWRVzef8qRti8fEDmixix5Qex53UhbKP586b6DDbccz0XaVlcQulNz1CPS0v64//XwZ69FjS121BA7BT/ENrn+1DGnmRPCRE5EFuf/kWr98NAMwz9AJv/LqMDf5dkZviTjKxWKXqAiOyrqqdLJHPeQNdUiWRIjPTdOcAHMNf1Pm4idw3KgU8KJDHji3SRgXKwISJbq+oVMZ0koovsjc0Bi6nqymLh0j/XcFarCcBPGgwqsXrNi4WyBj08M8u6DdigmqOcPjQFWxfu1ZqHgoicq6p7NN2T/kO9FbF5roXzJKSL1Mrr6LWV8fvuxZFPO33vHRiR82YDKdeVPQ/2+zbGDBULqWqM5xIRma6qa7u548NqYZF3ay1NtQQyj9XluplbnH6xDnZQBqbPTlPVNsoEMQ/C8fTzP92MHSz6kQ3LqOo/cuYh97n5MQ/sMe7WLVgI2MsYF+cLnmzHNXWoISKjMe+T2e71Ihhny+0BWcHC+Nah//dNUdXL6rJO/lDM8Fd5422NcU4eB/xCVXcbzN8SqUNHT9pu+lrs0Hp+WnmMXsbtpwa6B/a+ZzDnw+TMjyLyG+yg9w8hfbAm+wCWcfExTG9pO7zp9nkaKN52BiEfbhJ+HzbAZjUtGNJKaHezqt4VkUtOAy3OVS2jvjkbwo6TsCdbbXb73BOre5F6JKWlkwzXtl6BiEzCNo7T6MBvk7NJqBbwTvfc/axwAzG34Isx1+cNgT2BrUKTmhgnw0tYTGvFj3JeZFy0/Zac8T0YEDst/h52KncdRnD7eVWd5MksgS3yRxPgEQsp2+5zk0jv69tUdbTYac2J2Inlxaq6cre/zZWbtEFwBpiDVLUtVXek3Jy5ItmI7eQrw/GNwJm+oVJEZql3Ui0iH8eMRqOxk+MJasTCoXKTDeTOALkhdkK5KHAbNhcFeUx6ASJylramYF8QuDy0wUssbx7MM+hcjJOnBTWDwlB7mPSdoiXKJhN9i8jDmMdNx3DHzHXvsfo9q0I7z5aY8f8A4CJn4NkB467YIlKP5NCAXD1gqCDp6d6DG8cK1QZSImEXnlyf4U3aT1773iLujR1Kvd23Fqfc/2/BbQRVw94+lcxMLDHK7Z5+EUyfLCIPYtmVopsET3Y++jfR1TNymgZCGTKfp1lY+PNz7vUIzGizSqj96/3n1rgWw1FsfawQMaQdgSUEmKqqsWQA2RAXsi3m4bEJ5hn3oKq+LyKfqiePwdayDbG1bKaT/01I3n0m6WBPRI7G0lL7SQ9GYt4QXYdAiYXwfEjdIY/ru7si4+16rD/8lOEbq+rH67JOfmls3CtmZPpnN3UcKDL6L+Sd+xzwuNa8lsU8RtdU7QtbG4aFVAY9fGPPe0Od16E/ScUtqprD6zdgiEWDHAKc7s1Z0X1gal9H9NkKqqqb5qw3tbIfwYzpP/fuXamqW0XkU20ByQdkOejCaPqWPU89FTImGUSqYmEtP8f4QwQY5SzlbWEW0k5o9yuJE9rlEAInk9q6+53CKHxcgE3CFbv/bpgFMjQJJ2fAEpFTMetktVh9SUQ2U9X9A+LJhLIyhASfbjIJuc2Fym5Udmt40SlM1eQ+GlsIQlhQPK4PMW+IGGFmViYCVX1URD6LuUj/FfiEqtZJ+6pF+0o3jt6k3/MnhhQywKrsbC+TTnBjciTmXTUae07HaY1vx72+QEQeVNW7M74ip69ziMmTETNWBeTeEPP8SjIIZc4VWVntME+A70WU7RaOI1W9AcuCNQI7RbxBLMPdL7HTVd+tOyfr2+aYEesEVQ0S9VWQWlYGr25BouicdcTJL0f7vHVTQPRJETlVVfdzRt6riGdb6gi1A4zbRGR9VY2FL1boKpFBJnKIbXOIvv9GfF6tI3nd0zxS0P2BXwDvE5EnsY13KESjmrceIz2rVbIeIBZachJmGAd7Bsap6hMB2Zzw9fFYGOEqmBfd3NgGboO6rKZ7IyUT0GpGaKl0l/ElNwNlal2Ors+doXvee2tj7buwvZRnqZGjenhFVV8VFyEt5nETq/vmGdU+BzNmVLxMu2LP444B2Rw98hhgpthBi2DG+h85w/cNlZAYifN3sKxWz9M/Pl7FnrE+pK6PNSRnoMzEdLHQkl9iY/sFjJOnDZl68iRX3lHA1ZrmyfRpzEOiU+KD5KQHksE35LAo/c/biIa6LqOthPVHisjOIUHJJKwPrNUAdbqLbGT2X3KmM8hKOAJwp4isowncbpU8tn+by/2OYAbh3P2WiKxP+zoSCq1cQFXvkFZWh1i2rOS+TtRnuyE8Bwut20QsA9i+7vlbLlLnHFtAcubHTCSvX7nP00DRUx5CkkGk6mS3UtWH3euVgatC1n5JILST1pR3qSSqSaS20sXpbsgqG7M2O6vyg9gEfwQ2uR+jqrcFZB+iNS3dMMwFctWAbA6hbDLBp5PPMf75nk7zYcrN66r6jVDZqXCW4pOwBeA+XBpwDZPlbY4pO4+6uq6ETT7XBmSTwg3EXJj9B3ApbOP0CkRdE2/EYvU7brAkTAb4+ZDRRfJCJev1xtV7OnCktroSB72oehli6Ydfqd1bLHZCkVHu8dhGLcoh1OVccSR2mtpoxJbwSZhfdoyYeHFs87wH5ll1HnbC8gH1yOpEZFeMUDbJQJ4KEbmG/qwM/tg8LiKfs44cjeMt8GRVI+FaInIMZkxcC/hx6PnoJeQY0ySP2LYj0bc3ht+PGSquogMXXcq6J10Q5nqfXRAL84t6dvi/r0nGk80ht78e47moeHR2B3bTQNhK5pw8E5fuXftPdtvCTdz95AMWsZ3BCqFNSbcQOyEdRSATEEYSGyKWr3SR17GN9KAkapCwl1Kw3ar3SCRHdXPFs5jH74GYV88DqvrdAdb5AW0P32q75+4n65HuvWXoPxSY1mSsl//P3pvHXz9V/f/P13URkUvK0GQWkigZ6yopmidCioo0acDdQN0llSI0GSKJKyqFiChTMkQyz6IB3Xflru5vEs1Yvz/Wfn/O+7zPfp+z1/ucc/m4+70ej/O4rvP+7LPPPu9h77XXeq3Xkg4wsw+NGGvOVphB23lOn61XoFwm5wsdJ7YAACAASURBVHSM2JGNz60CzMvZeunvETv50bjj9bl4etCDwGVmts+wMUwa8pS/L9JzguyAF0HISQ+8Dvg0nupeOf8+aGYnZtp+DhepPSkd2hZnkg2UAVdQsD6yVkcQvH6nAvtYS6Uz6xe2Li44UhvHGrgG1lBtN/WnVj8wom2koMLXcPbhdfTbODlZg2ImbeRaJ0fMAHJ2SBTVHC5pL9zW2Q44rTmv18ZcKm7/AtwxXRIgi4y3mhOF72dXxTOccqL5UysAkcOsYggRE1K9t3IGJdxOv1BiHSMF7XKLTQFKRW27RHfPlbNG6pPwgPMBwHre5/vw9I5hKC5LFzwnEYFP8NSSgYWgZRzNSe5SecnzcXE3jTLgQDadyszOlmsAVA7HW5tOgxoOxXUtlpf0KVK6QaZdltI4AvcBN6aNRd2pMDC5W4EYYA0RlslZ+DU7Ib3fAVgCF/v9Kv1Clj+QV55pOkHGLuEagWIMqFMlvdoS+yUZyWeSL6kdQXVv1RfBpiBw8VzRcGL/p1x4cJjjNutAaRlH9R3fwZ+PrwGvMLO70p9OlAuK1vE0fGP8fGob41y/QTzJzCIR9Mg68mpgrSHPMg3Hw+XAPqQqDpK2GddAiEABhklCSYnTChFh2xKh7+oe/q/0ekR6DUPJulcsmNvmWFWKgOacUgkRRkpE3H45M1tQe/9VSXu2tI3MycXl3vENdoWZAEuuYerze/izPRGYU+N/BQxU5xvymQgDaaSTQNJu+GZuteTkqbAUrmPShog46gfxtMobcYbH92mInXbENZI2tRTwk0fG21JLiu3IhDl4sYVFgDUkrWENtqSktc3sVlxgf2DT1QgAhG0cDVag3BZnTuRQbEemvvvYoJKe2/x9CRE7+U/yao4r4poxz8IDP7nvD6VWStoO10+6V9JHcCbLfpZPc1nCzL5We/91SR/ItMPMvilnglUyBntbeyrKW/GCClXK2BycXf/2zJiLBOtrKF6rlapyjjqWECm/vWblDAIws1vSPX67Buqf9BUcAWfOtRUcAWfQlmIP3BYpcYZF9lsbAusUrGMQYNISu9Z1Nvri+LzQKsYtZ2A/mf509NxzCv7sYGYHyfVYz6WlIA4xcftd8P3eovTbs2PZe01nfJpD39nSPPQ8dXWQz3y+7B5ZOFCBkGrNON8K/9En4RdpO+C/zOydtbZhQTtJWwM/tF4e9aPxfNmB/FMFRG1LoUGmUrXIzQXuy2zyUAF9UB3K0ikmKPsxCgU+U/ti3QX155bOwTfmh47rJZXnkr/SzH6T3j8X+GLzga21H0m7TJGITXE2TpVucL5l0g3UIWdW+Zx8s/7SqdlNUK1xZ5ZJapuLqlZe+mY0P6LzMRVmTuonEm1/K/BS3BBdERf2e78VpE7OZkja3sxOUqzM+RbWqDw2pO0vcMNjLPHPTL9fBg6z0ZVbqvYRQe6zgO2sJl6ZabOg7W+0M2jOS/3+Kb1fBviWmQ0YiLl7XNKqltd/KWaYpPaREqfFwraasNB3l3WvsN8ivZyW8RQxUiJ2gJzhuYBeFP91wC6WFxqOzMm5cu/ftMIUTiV9lZa/HUdhSfsIki13IO5IFMPP8XObxyC/SVAB60CeArsMGZZSy7pbrXdvJCOOamYDa25yyv3deiLNc4HFzKy0KmUWcr2htehV6VsJD2bdT2IUdLQjK7ZkkyH4yka7L5vZ2xTQuQv+vu/g5dhvwSujXty2XgXtyJFs0I528u14+uwleHreFZNaA9VjYM7HK5MdjM+z9SpjlR25Nxm9IcuwuNLvPAHXwBtbp6lmcz6djGC9me3c8rnIWt1qd9bed7l+J+L2er3S2bJ4cOsSG6PwiAqE12vHLwC2srIy4x+jvKDCybh+5V3Nvw3pv5VJ2/VaN/pYDDin5Xq8BXeOPQlnNW2KM+7a0uFeYWZn1N6vDLzJauyjjr6APj3NEb9nPEfM4L6p6/M0FuNutjmERi4wEeO8ZfNcb5wTtMsJ8bYJHV5Ioahtah+N7hZBBfRBtVRlq7XNCb9GBGWLN/6pfWQhuIOecXM/7rX+hCVtnEbbJYG/WU8sbw6uOj9ghMlT7Y7AI80b4Mbhy83svzNtI7TLonSDxu9qos1pMrIyS20TtBY++VV5sK/AJ78Bj7/i6YFvtSRGnM7jV8wrd3QW/5RHogeYOdYijh7sOySmLelduK7DKnhq4I9b2kU2/sW02chckRaj68zsL5J2wu/lL1gjzaPmtBswrIZBzgBZh/5ozUD+eWRjHIEKqjI02hdvVORO7/UZpAVnK9sFxpwTYW1bRy4FXmKJwSenrJ+Uc+S0rE/DqmUVO9MUELaNIPKMBPtdGqfYV86Ci/B1YewKI8FxXEi5uP3K+HO9GT73/xg31nM6EcVzcmq/FfDC1O4cGyz3XrULBVgUSHuo/caRpdaTA/kVNrxsc9X2jNrbxfG0pqtbnulosY+6yOilLTbISFHUzGd+Amxpydks6VF46vhARdD091KB1qwoaW0wnURP5ekJ69mIKjkd+64zYx6BR93/0nYvp8+UVKCM2JEjf19HO3mOjQiYdoV6qbkH4ILdJzTXkY525Oa44+Nl+Lz1LdzWGhAmT+2HlqhXd8d7yZ7vJXiAbnucaV5hHh6Aqles7XL9IpXOQnu4jMNqQHi99rdjKE+tjgRaL8AdC1cwen0amWLe9Vo3vmcZfI5bI/O3G/F9y0/M7OmS1gb2zzltUvvzgc9aLXCi5LSuve/iC4gEyCIyBfXgwRzcXn9s3R4a43kaq8DFrHIIzQYoX+axTbsnO/nkJp3UPhTdDYy5taLYJKCeoOyHcYHQnKBstM9pRZeiRthmwFH45P8yaxF3TZulItqlpM/ggn4TFcBMfUcqs1yM/6aqROZSuM5WNtoaGMNGwLE4K0DAn/EqSTen7ztpyMeH9Rti5iimQzUy2t6YqIVHg28AKnHw3MIc2fi/r/Z2hjZr7QyTUq2RG3Cnxnp4yt5XgO3NbPNGuyoqsjEeyexDi4GwL15Kdx085eEleNRs20zbCynfGEeuXXYD1HXj0+g7ayi0GAjH4cZf3bHx2ZbrdzWwdbXRT7/hOzlHnLxAwl64cb4WLhq7o3nKZ7NtMcMktS92ppWcZ3VjHxYHWSJIzryb6InrvwHXB8hF+6KCq5FxhOyAaUABcWQFAiypffHzp1ip9UvNbED0ugSSVsSd3q/J/C3iJNgH32hWaQCvxvUzciKj0TEWO281KB66OX5N2sR4l8HXyPqmbVyttpFsyUb7ZrWzH+HXOutUqH1OeKR7UzP7YObvxRUoI3Zk9PeVQgWlusfo+0w8pWUrfOP4Nzyot/7QD5b3PxdP6X4r8OKcg075EvVX2Qj9qElBnhK5Np5qXw+q3QtcYGZ3L4xxpLEU2WWqCa8DVTBaJOH13LlrcwKUOFhGjLl4fVJQrzEwhrqW2Fxcr/UTZnZ4pm1V/fk6vEDPPyTdbBmNndT+dnxf+kPrVcgMBT1b+o1UfowwFevX+X7gTuCUUfNmYd/Fa1/287PBIaSFUFI3MJZjcSHAL6ZD78KNm50n0PdUyoArmK4V7HuooKzGEPgMjCHX9z24p/33jbYjz7F6tNIK6wB34XTbtg1sMe1ShekGSrn4ahH7tf5Uyaoyy3zc8KqwFPBgi8HdFxFL3v8brD0SHMnbrRyF2AQj8ipk5qS2JakBxWLxXbzykY1/5rPDaLORzUTF/Pko8BszO6bFcVhc5rz2mRtxZ9O15gywFXBncM4xFTE8wtRWScvTf282GVBTXUeCzr9KhP4i/F57Dn4/n93S96txp9BSwGvM7Gct7YoZJrX2A+jqTFvYz8iIsUSekWLB1WmixKkYWRdqnwmJI3cc+9DnL7WJlFo/BHgcXl0zJNqZnAo3Wz7SHnESFIuMRiFn/r2nul7y4hiHm9mAdpJiAq37ATvjIuaVHZP9fcHxhtiSkk7CN+WVtszrgUebWa7aWe7zbXPn4biN8yMbUYEygujvC/R7EYFS3cG+l8DtoRvN7Ody1vTTbALp6+lefwXOFNoAZwi9J9OuuER94LuL1+qafXOCmb2+63cOGUtxpbPoHk4FwuvBsU51vzWp+zbTb90OuR/4nbWkxslTRnfBdauej+/LFjWzl7a0vwZfcw7FneQ74Y7Cce2LSCCkRO7ma2b2BmWyPCaFyNqXw2wRlV4YJXVL8R5cNPREfLH9Ae4UmgT+nzylox7dHUtNP6GKctcF5Iz2Mn1FUJmg7OYUCnymPrts2nbFN0DVzf48fCO5qrwEX11I7y+SNmgYYc1S65/JffcILAvcIhezbmU/yFPUXmxmw4QpK7wXj6bmvO9Gvxjvj3Gn1bKN9vfiLJYcjgeuSNcRPPqZLQOrlrxd8kLDfbRS9QRaO1UM0CAzZ6VqDHLxzLaN/EhBQguIkeY2swX4MHBJMgqrjf8wkcE6lsDPdw6RueJeeUTqDcBz0j04IGppXgL5SuCinJOmBX8zL616v1yc/Pf4ojuAQJ8QE5N8JX7PPyF9/8q4IGEzYhQR5D7JzLZXSxWcFmN3jqRlLEUk5ak32TXUXIR+A/w5AtjTzP63MYYqr73C0vgm792SshuVZIxkU5Jb8Hh841yxBOcBT6EnthnCBJ+RZhnlLvibpPmWmC3JsG/O9RWKBVenjPUqZxCAmd0tqbkpLl4X1F0cuRiB5w9ipdbn4dHzF9aODdgMqZ/6szIHT4HIRj2trMRxhYjIaBR74sLLv8Xv+8fhm+8cIuKh2wOr24S12nBGbqTM8roNh9wFckbiABob2Dm40G02Im5m7x71xR3tyOjvK0Vxqe4ozKUOTq29vwu3A8dCcuZtDJwNHI7bBMPS3kpL1Jcisud7hLyC6SY5R8i4ThBiwuTRPdwVkpa2IZq0kr5gZntqMFANDOwxivdbki4xs/kaFDIflnr8Y0lPs0K9xlJEAlBmtnX678eSg2Np/D5tg5Jz6Z2Sdsa1vJbpOtbaOH6lDBOTvO1UBZbqFZWbe7hnSnoC8GZJx0N/iqdNgMARXPsGMCsYQl2gjOhm7ljmc3OAR1lLxSVJy9sg62Qta9HOCY45oh+QExy+18ZI00r9jtSgqR0vFpQNfP/bzewoBeiRks4B3mhmv0vvV8CdHa/DBQfXrbXdCM+H7jPCrFGpLEU5flD6ACnGfhg7HWJSSA6xKjf6YstXp6iYIEV5u4qXAe+r7JHaXlz7e9d82UhqQEQsPqR5ImlZehv/nzQ3/rV2EdpsZK54HB6dvdLMfiRppfTbBnR+UvvLLBOlbml7BE593gF4H17l7jozG1XNcFS/kWt3Pb6w/sBcT2ELYCcz23WM73+8md0VjAK9ET8XJ+Nzy7bApxqOhqrt+dZg7TWPqVtee3HaWvr7tcAGZn3ld6+aQPQslIIVeEaK1z1JT8cd3NUG5W5gZzO7PtP2QDKCq7hI64wx1vL9MxjXaEv38vMaTsWLrKWQQUF/IXHkjt9R/PxpeqXW68/K/cCdzaBLFyeBXPdsQGQU+HX6zLjskUXxoBp4aeF/Nf4eFg+VM112a9qpQ8YwF1iB/vU3yyiMQNLXccZTvdrZu8zsjZm2de3PKk3i6NLfkOkvbEemzz0CWDO9HbgejbaPBFYaZfsrUKp7GpD0bDO7VJmiHEM+8yL8eS6pzBYpUf9YG7NkfKbP+cCOuCO06dCz3NqnmJZoJN0nytAdmS4t6ZlmdnVkjzFp1GzTRfAsgduZoI5gYBxz8QDW2iMb9z7zdjM7qvb+mfg8VGfdhtk5mjATU9LuwG44UeM39DuEzBqMtHQudjezzxf0PRF2/KxyCCkmpJqjSGe1dCSdgJcLfADXt5gHHGJmB2fa3gbsY0kHRa77satlqMnThKQ7cc/k3fiN82i8tO/vcEHfumD0oviNNiP6htNXc0Z0sQZN+lupoOzUBD4l3VI//1KPLp4b+ygjrNbufGCbSYyx0W9IQ0ix0qJdxlNC9S/O21WsctHIyh5doVhqQEQsvmQR75LWUUybjSI5SatqGFcMM7QlHQk8EXdszFQYsRGRNkmrAPPMrI2RFhlv5NpdZWYbpo3pM8wZS9dbi45CZB1J7SPnbh18c2w4LfmWxt8Xx5lfF+BMxmrRn4c/4wOGjgLViFrmu2Hzd+5ezqYSKaZDU5yClQyrj9V+X7X+DjgVI+te7TPzAKwlyJPaDAsUzRhj6iDQGkHDqQheHXX/ljW1eF1P7ae18S9+/tLGa1dq4tZ4wYGBdTBo7418Rro4CRR0yqogfV2BtI62sY4Y84a44+gmRmu1vQe3y35Hf+Ww9WptQmzJWrvKzvqv9H5l4NaFbSuXQtLzcAfynfi9uSJejShXqe4VOJP8EWa2qtz5/ImWc7wanh78LHzeugN3mN45nV8y8P1Xm9kzc7b9BL/j8fSvkW2C5z/H2d0LgLNG2b+SclUQ78GDFqc32u5qZscUjrdYS1SFwak05xxvZjuWjCF9pliTNoLofkvS+jgzFzwwfEPj79nAWAXLB8gOwivf/Q1n8KyHB4W+3mwbgaTTcVti6NolaZ6Z/VktQRyrBUTkzMUtgbPot8sG2tY+cxuentnKxOziiJF0pJnt1tZno21r9c9Gu04O8iZmS8pYhQW4YFeVg7xTOjajVyFnLjwVWLqx4M6jtultYJ104+yI3xAfxNkNAw4h/Gb5ctqkr4BTo9vKsYZKzSkW3T0P+LaZnZPavhBP01mAK+DXDe8j8cX5iPT+DenYjE6Ieho0q0qqe9nn0aOCNsebFZTF2TlNHIsbKNvXxrAAaFOGj2zaLpSL61VG9Lbp2JJ4NHKYEbamPP0it9m9D7hRzgipb4xzlcMiVTLejtP+75c0tGRxwj5mdrI8ErIlfl9+if5rHIYGqf4r4eVRc1T/X8tZM6cB50m6m/a0kgit9NXAWlYQuVKQmWMxeuSczLG2+e8BSStZv+ZJ07CJpPtVaKbvLCVpHTO7vNkwMldI2h6/Zy7E77XDJH3AzL7d8vsWx2nO9TFmUzVS/9vQEw69hPYUxWIEr92fkkF3MfANSb+n9rxmMHIdqdDh3C1Kz5gYSMvDn/098WeublD+Gafm53A+/txXYqePBM7FNxhNFKetJdwuj0wdmd6/E4/+5bAVXrq4jpdkjkEsBWsRnDq/C76mHo7P/TkUr3uS9gcOajwj7zOzjzQ7NbNVW76vU7s6InaAmR0vT7eunr1tmk7FGkau67UxvDuNoW/jjxvpzba5TeM9wK9aHNSR5++RwLFmdnT6rrn0C6vWUfycUvCMWIoSlxq/CX/ECy2UVokqSV8vTutocfgMZbHjTo0DgRvpXes27IGvv8NYG3ukf18+oq8Kpe2mjqAd+VnghZYYP3Ix6G/iVfaa+Bhu918IYGbXScrODeasyC01pFT3lPEveTXJJ+YcLDl7tgPmAP+Lz29rSloz50jD2VdbAm8GDpWnpn3VWjTxcFtkbXq2/Wtwh9r68gyFPSvbHrg752Rtse0Xt5p4uJndJ9djyqEk3Qcze0DSypIeMcxJ0MBVkj5HvybtQFAD+hytddwDXAV8svEMF++3JO2Bi4ZX5+kb8ipcM2twzuFTgBea2V5y9v2d6bsvpqcp1hzHyhRUn8QZrzfL5Tnq+7KmM/YEfC66msEgTlMy5Uv4GrJaaj+sbYWb8IDUMBZjWO6m1BmUcKlcU+1E+s9Fn7Oy49qXHdyseeGpCEOP4VTaBfiGZkHtdSguypfr92bcsDoZ2Dwdu2HION6FU4b/q63P1O5W3GBeHnhs9RrS/tqSY+n4jZljN7Sck+szba9vvF8ZN14uww2W6rUB/mBmx4AvBNen9ysA53W9do2/nYcLhy2SXjsP6Vv4QvH59NoWnN1Wa/Px9O+CzOvYln7flHsV3KfCHR2fntB9f2369wDg9cPui2C/16d7sup/C+CYgs9tjuuUPKLl77fg1RJuw50DN7Y9T7gD9lGF483dQ7lnZqf073tzr5a+jwU+h1cNWD39/6stbV+MP/tfwxe3XwEvmsR1rt+36dm6Ztg9MepY7TovX3u/XPP5H2PMR+Abr13S62zgiy1tn52e65/hToc7gNsncO2WTOdqkfSM7s7webZ4LoqcO3zjdBPwcbziyY14JCvXNnt8AuN9I77u7Jdet+LptG19L4+nSf0edxacUP+9qc1u6bf8JT3P1esOXEA81++BeGBlFXxt2Qufvx6DF2Fotn8BHkn8LbDGkPFG1r3cM9L2PC2e7rFTgVNwp93imXYbDHu19F1sBwBfKzlW3Zslx9LxXwx7Jhptf4LP31fhxvE/cOflL3EjP/f8zS15/lLfj6q9fxQujjzufR9p+yS8wMbv0+sU4Ektbb+efvdBwNoF5+4cvJpU9X6FdOwxwE2143PwSo+lc8AJeHBuSXx9/TXwgZa2Vwb6vYAW+262vihYR2ptI3bkgI2SO5aO/yT9e21B28XwYOt/4lWwPgp8dELnYhvg57hj4M+4ttSfG22WxRmav6KDPVswhgPxDf/3gDPS67sFn9sCT435E85g2Sx3noG5tfeL4HuUuXiqKXSz7S+lNl/jTr/LJnAujsezTPZhhN2S2i+Jp9tdlT63P7BkS9uD8DX0aen1KXy/szdwRqNtZD68of6daUyt+9/Aubgp/fsVXDcV2tent6bf/8v0/snA+S1tN8+9xh1v6vvIQNsN0/17Dj39sZH3/SRf+PzdfP1wSPvitS/3mm0MoZGCXeY0wtMlbWZmlxX2exQ+oV0PXJw8lW3Uuh/gRuu6OKX0GEkXm9n7M82LhVETItHduyTtjRvz4Gk3v0sRt2ZU6AFJq5vZL1O/q9EQRzP3AP9K0pb0hGLXxL3zbUyPYkFZYgKfAMuZ2YLa+69K2jPX0MwsRVXvMfcuL4EbmvfW2uyb/i3WNrGMRkfh5ww4LTGocmVTs2Xdrb1i128kHYVHRg+UizbnGC1RVtq/zOz/SZojaY6ZXSDpCyN+HjY6ZzmSG/9X4Dp5et6oyh4lzBzoJkJfLBZvBYLAFRRL91O6d6rveVAuuppDZK6YY/1pTv+Plvsn9RUpk/t84CnVuBNz6eaWrkvEGbtEVKrIyIO0iKI3EBF+jJy7XfF0yr8AVTrkZeTZLl+R04hLSjKXCOEDYYYJ6bft0Pb3hBNwx21Eh6aKTDbFoXegEXFL8+GhuBPtaTgLa1fLVxCKrHtzVdPNSFHHxVrGezy+XlTX6vW4w7dZEWlYeV0jz/yL2AF97Mz0u3IMBShY12v4b1psmgx+i6fB35z6XQe/NnvhDrO+Cka15w9GP3+RyHzkOS1+Rggwj8xsp2TbvA63QSy1/ablo9crWtIyTPh9OvZHSTOpfGlu3ws4qWWMTURY7D+SdAC+QRlVWvh2nE39vUbbXCrDNvjmf3ncrhjFbJ4WIiK/xXYkztb4Cj0Gw474Rj2Hm+VCxnMlPRl3grZVPD2dnqZikYZPAAfhBV1+2tYg2SbfkvRTy+in5RBkCUZY3vWqxL/D7a7v4hpZJwNNltUyuC1fzV1L4gGFByT9I/2+sG1PQNBdsfSrX6bXHApsmDR3flDSko15NIctrT/l70b1Kqzt1Ggb2W+J/ufoAfIp0VGcKa8W+zdgN0nL0SIUj9vaGwOXA5hXzFu+pe1LLZO6jl+XLNTPYv+RZbRB0/fuphHpczUUMzGDTMViWFwkunjta/vCWfPCN7nfBf6AL7Sn4aJuubar4Z7qqu3pwGotbVdtvBdOXcu1fXXj/Vw8pSfX9tP4gr0ZI6KIqX1xdBf3+h+GswquxWn2y+HpSms02r4AZzRciD80dwJbtPR7Na5x8cTU7mTgGy1tj8Apc+/AoxTXAgta2j4dd7jdmV7X4uVc287F+elmnZteO9HuMY54l/fAI23CPdfXkIl61vr5Nh6Ru716tbTdpvbaNl37bMSBXhTlDDyCdQ/DvbpLpH6fnN4/fsiYI9HoH+CL7WG40X0ILdHawudzXvr3MblXy2cGIla0RK2YEjMn9b185thaQ9q/EtcQ+Azw8iHtKvbCfPz5exlecjnX9lTcsFw0vfYATmtpG5krDsajGDun19l4Kk3bmC/CF+d69POmlrZnAivX3q9MI1pV+1v2dy/sF7F1pHnuzmo7d7hhsHjt/eJkGC3pbyfhG5st0utoXHQ013Yj3Mj8EZ6S9wvgmS1tixkm6W/H4aWgq/fL0BJVTX/fIN2j72HIWha8HlfgG97q/Ta41kiubWTd2zudr13T6xJg75Z+byk51vH3jbQDgA/hDqn76UX6q0pSB7T0G1nXj0m//0OMZtwNPOv0or25yPNIlkKtbXFkPvicRp6REFs5/f2x+CbyTnwO+DkZlh9uE51Jby37bjq2JK4p1rwv3o8H0UatkzkWe1u0vThqjG90B14tbX+BO//HfiYyfdftsmMYbpcVryPE7MjF6LEET8WdTou1tF0CZ2hciTuNPkWGUdj2PE3wvF0aaBthxhWzBImxvH+GB94GvpfM3IzP23fgm9av4jb4W9LzdHCjbY5VvCvw9JaxLIoH9tfFy5a3jfkUnPW7Wnrti+t/Dvud84ClCs7Hs/D9xX+l9+sDR7S0vR7YuPZ+I3rZGdc22hbvt9J5uh4PJH8M13jac8iYV8adU+Cpua2/E5/T5qb/Lwk8rqXd5fXfgQc32xh3AyzftrbpbxEW++44y/sTjGZ5R5iYxUzFyAtnoB6D63GBy7fsOqR9eO3razvugB+qFz6hvaF2AXaifSOWu8GuHtL3fGCX9P9laTiUau2KF+baZ9bBKxK8m5qRPIHzsRiuF7AeLYtc/VzgBv9epTcMnhqwXkG7eSTHwYh2EWPwOnxDUN/Atm3Eqgn0Rfji+NTc9U9tLsGN7hvSeD6GRwZybRfUXkfjpZQHnAwtn10ROGVC1zliLIVSbQr6OzP9ewc9Knf1yjrSOnzHsnhe8MuBZUe0jRhAt1Gj8OMVaayL2QAAIABJREFUs7IbQtyQPx/Pg38zPtnv39K2ON2PgvSdRvviuQLftH02vV49ou2VzXG2zQH4RvSv+Kb0Ajyt6CIy9FkCDvLItZv2K527z6XX1kPaFRtWuXur7X5Lfys1Xq9pvJ87ot9I6uE+uIH08fS6HvjIBM7v3MyxzvNQo58X03PctjqPcQfzprX3m+ACocOux+54wODb6RnMXhdiG/Ss82fIOErX9X1zr5a2J+IMwc3T6wjcgbkYGSOYgKOAgOOmw7UufUYiToJXpXnoRuADpPkYdwjcmWlfVRdsTV+vtb0j82oLOO2Opyd8P33Hynike+zzFji/xc6H2meKNo/022WnMtwui6wjxXbkGOdlLkNsWlxQ+mlTuiaHpOf1ddSCki1tI+lzpwJPrb1fB5/nVmMwNfeU9BwfhTM9DwUObek3+yyM+I2PT8/hq4AnDGl3Au5wquyc23AH6pX09jLPT/9uk3u19BtJv9owzRV30ss6aZ3fcEbMipQF3zZKfd+R+r4BD9wtSUv6KeX7rSrQszteGKCtXST4fjWuSbhMwfcfhKdU3oqzVb6DV2ittxmWup4lLaTP3Vq/7/A9z09b2hanz+H24AGUzUMlcjf34gGV7Kul37NwNnY1fy5Cy943/b147ct+vrThwngRiGbmLiKDujlr49ozv2xMDDvj4q65fvfFmR0/S++fQIeFsqXviH7AmvhCcy4uUPhDGkYmLZMewye/a9MN/hPSgjDiBqs2S59l+GZp/8y1++SEzlvEu1wxNg6pxkv7Bujq5u9niKNwjPGLhRiNHqPvIuOu7Tc23p9UnVv6J/cb2q5d7b7ZGKfvPhd47pC2EQPo8em5PhkXvjuKlqhXGuOc2vu5Q+63M1Nft+NsusWYgH5PyVwBXJL+rRaae2uve/CF9J2Zfs7CdZQq5/C2pAhEpu3mw16NthdkXm0b41BEJd2PrYyuRtvIOrIq/ayfRwKrDOm71LCKOiDWxRf+N1avxt/DDJP0ueupGWx4RK/NmX5b5lzcNoF7eU3cUKlYKOvR4miiYN2rtT2w5Fg6/lOc9n1nej2YjmX1z3B26XF4itjz8UDAV8Y4B2vX7p9SbaJ3Ze7jgee5w1geiTvEv5Ne78cdIJWYcbN9yP6h3HETYq8Fvn9lyoNNX6VljQFeMO5YxvwdbdqOS+M22VXp9Vlg6UabL6R/z6Cmf8EQHQwCzofUPrJ5jNhlxetI4XnM2iAMsUWIaToVayp2GPuCzKttLctpjrU5NopZgsRY3hdQm7cZMn/XPlNk8+F2W1Of7CJ8PhtHb+gyYH7t/bNpZzXeADyn9n7+sGtNY+/Sdp0an1maxvOcaVO838KlD5aqvZ+Hp77n2kaC72vgzLlf4IHOF9HuHJ+Dzxcn447Htzbbpt+9Cp7NsHLtlWVV1j4XYbFHWN4RezYShNgPd6Qtla7FbrQTEYqDt7Xf3tlBPtvKzheX1E05hXfjN6Lh+aHLkHKuzXO6X4Xnv74SP0kV7sWrFw3kBMvLbj8D3yw9Ix3rKx2oDqXm0uf6ykIm/YAbLVOmU17i9Us08qitv9z8gvTf5XFq4vm482ELPDVooBpE0nN4P27kHZh0Cfa0fGWtI/CHvsrxfy2++A9or7Rcu9YymIpVUToIF6Z7I85seie+AHw403YBng63Kk7PnAtcaGYDOg2SfoxP6N/GF67f4ELRa2XaRkrkHkZP+2YOTu+808yaecBhKFCuO9jvW/GqWY8xs9VT3vyXzOwFmbafMLOP1t7PwZ0VO9aOPd7M7lJLOUvLl7F8C04tfxK+MG2KL8zZ36Z8Se2BY7W/vQvfWD8I7JB7/lO7G4DnWdJPSfo9F1q+VPcSOEvhRvO86Mfj0cJzm20jiMwVQ/p4LD4PrNU4niuTu2PumkwLkWunQAng1D6yjlyFFw74Z3r/CHxu3KjW5jHDfov1lzcNl2RWSzVHM9s20/YAM/vQsPE02ufKnH/K+iuEVW0vwDdr1Zz8aJw6P+7cchHOvjiqtqbeZGbrZtqOXPdqbQfWl+ZaXTuenYdq/ffd+8qUVW8ei9gB8qoub4vM3y3PSN99LOkL5pV4ziBfMjz7jJRAvYo+m+MaHKfRr0NTL59eXGq97be0HZsW0pz6AwvoNER0diQtjtsqI3XEJH20eQzv+BOZtqfgaQ+VntMb8HSRbWptnmlmV0vavKXfAT2Omj3ZaJqtglvZyhvjm97quc6W1I7YZRGU2JG1Z7+yW6u5b6f0+3I6kNeZ2dOTptMGJE2nyNyyMNfTNI7zSfpX6dDr8EyHnA13Il5hr67Vtix+L11SX/9S+0fgznrwIMG/yECu7VVhcTwgf7+Z7dXSvtjmS3o1T6u+W661eb2ZrT3OvJE0ZY7HHRLCz8vOltFj6rDP+TbuvD0cDwrtAWxoZlldP0kvw9lzMxWzW+aA4nFIuhYPOlh6Pwe4qqXt5Wa2SdW/XOPymtx9X/vMHJzRfyS+Zi8ADmnYRUsCfzezB9L7uTjjNVd9svr7CtR0M62lDH2yLzbCU9MNn5OuIulS1dfAtFa/CQ+EgPsHvmpmI7VVhyHNAYfhgXrD9cZ2z425xLaoHb8Qf4bOM9eS2hQPemXn9XEx20SlI0KqI0UtrZsA9T/NzOTigtWN3ERIGFXSh3Cj/JGS/gwzgl7/xDdmOdxvZke2/A3oiaxJOhdPKbkrvX88HvlqjmMuLh77yloft+PR7hwigrIRgU/w9LM/1cZxt6S2CX1vPK/4Rvx6fx+P4OawK+6Aud3M/po2xW1idHvgkdHdca/t8/HJIocFlIt11YUK78cFKi9t6TeEiPEaRET0bUVJHzKzA9KifBLOPKuP8670b8Qo2gOf2H9iZltIWhuPhLShWJRUMbH4A4Br0+ZNeNRqwGgESAvaqZKWl7RSOnzrsB85DB3niizMBcWfl/+T9ZXJVUtJ3cIxd3GQRwRlP0ZhCeCEyDqyiNVKyJrZP5PxW0eurOnMR+gvWdqlJPO2+CbpWjPbRdIKNEq3SlrbzG7FhTIHDDnLC8piMRHqe3Ax1fPw37UVXi7+0NTXzDqRGwPtoqRLmNkVUt/py5U3h4J1T9Ju+EZ7NbnztsJSuIZNve088/Ld2VLQ1i6aXSLoXGwHmNnb0r+R+XuupBkh+rR+N+/NanP7mdJONViYoBpjszBBvWz6X4EX1t4btfLpBEqt1xB5TotR4iSAmTLSD0pa2vICsjmMFPmtoVTIHGolhfHN4MtxBlsOq5vZa2rvP56cMzOw5EDNOX7aYDHRXoB/pPkSgLR5bIswN+2yx9CwyzquIyPtyMoGkbRVYxO9t6RryK/ti0paFN8wHm5m/6r2BJlxTdzxI2kvMztI/cHF+nfmbPY34/fa5+ltStuu6c74HFoJcF+KB4r/hQeU62N5Hu58vBNfA1eU9CbLFEmxQcf9pfLy4W2I2HzfAC6XdHp6/wrghGTH9K1p8lLrC/Dn72iSU88ygbrk+FlfLi5PWi/acJG8AMw36RERLqzWw8w6/A6cFfdE3P48h5ZiJpK+hO9HtsD3N9viTo4cIvutSDGTiyRV9udW+D1yRktb5AVJdgFeiqcWfgN3gP8Qf94rnA9sCVQFBx6Js4Cflenz3fj69Dt6Ys6GM4tzyDrTczCzzyUny/x0aBfLF4BBAbHxNAeUBl/+Inc0V2SW19E//9fxXpzMsrqkS3E9xdz6UY25mGiRw2xzCH0WuExSPZqZnRzMLLKB+Z08grYpfgEuA/4jOUOaOCk98I+WsybejE8o9e8+Kv378ZIvN7MDgAMUi+6eIemduCezHpXLGbArVhvwhN8BKzUbJQNofvP4EPwi9VMteCumYzl8AzhfvSjTLgyvSFJkDCYj+GYzW5vGdcghTXZ3AGvKI3TD2l6Z/nsf7QtnhUg1i2/T8IZLWqLNG16CjsZSBBHj7s3AN5LzYgvg++N62BP+bmZ/l0Ra7G6VNMDWaoyj1AA63HqVB/4kaTPc8TIAM/tmWjSqKNneZvY/ubaSXonPW0/AKZor4Q6hp+baj0LHuWJYf3dlDp+CR4zqi9C3aa92NApdqr5Frt2/zOyehkNhGLW1eB0B/iDplWb2XQA5q7Svolxkrem4OSip5vhenMGXq4Jl5KtfVWO6hYbB3IIqhajChUPaHoEb2Tfgm4R18WDB0pJ2axje/ytp9TROJG0L5O5LKFv3IlXRTsA31zmnXtOZV8cHgAsk3Z4+szKN+zNqB0CMNYKLY56Y7BHwYMjZjTGEN/4UVnGKOAjMbF95pPgsMyutrJV7Tj9Vb9DieKx/b84RGgk23YdX8zmPmlHesuEG+F2hMwhgXetnBF4gKfscmlnfcy3pM/jmMYdoRdeh6Oh8gNjmcTM81eEvKRCwAb5RrqPLOhJxKkrSsy0F5yQ9i/aKkrnKxMMcBZNGdY+1VUEbQGRTamZ/o6fF08R9jfefxYWmbwOQVyn9Jhl7Qf1s2jmpzdJDhlJs85nZfpLOosfSf4eZVednx0bzN5vZIZJehAvGvwF3xg44hORBzdfg6UqLVHaGZZg5eOAG3FFQxzPIrMPmFeCaY2vDs8xsPTnL9eOSPouvczlE9lu3S9odZ/CAP6e5vS/4erorteC7mWX3XZKuxjM3jsGdbdV6fXmak+qIVJ/cE5cHaAsQ9iG49lVrRjaA1sCxOBOzIp+8AXcyDrBgg46Y1+Nz3yH4PXNpOpbDzXiwZS3cDrmNIRWEia19A5hVDiELRDPTzfRePD/ubfIUl7XM7MxM8xOALwJbp/c74BPaJpkxfCYtbn/GL8JHzey8ljEUpRGpW3S3Yqp8oN6UvAF7vqRz6E/t+kFuzDjz4bt4CkHdAMpF8JYCfpo8/DNUvPT5PiqeefrZ9bgXGLz0dptBA4WbtuTEuk21cuTDoBYKKpkNk6QNcXHoZqQ054mOMBqKveEBhI0lxUrUjzTuGvfuIbjRdCluMG3Qch9H8Gt5msppwHmS7qbnjBxA0AA6LTlDn5wce8swyMJoPpvVc/wESU9o+X374ffYD8wptlvg7LF6v1knXm1s9dSSTkyQEsijb0/FN+31RW0eNYpyFF02xsGISqQEcJQV8w7cuXl4ev9rPDU1CxWWNw3iqnTfH41v0u/D56wZWDeGSRR/BL5nZkNLrCZESpe/C2e3rS3pN6QUxZZ+S9Y9M7M75SmgfZD0mLpTyMxeLrfwNy9ZP2qfO7+yKdKh26yl7HKpHZAQYY3sjRvlu6X359HOjI3gHjNr22gMoNTYtWCp9cLnNLdhnemCvCM04iSoKk6V4ip5uk1r+lwN10ja1Mx+ksaxCeUb/CVwGyaH3YDj5BFs8LTfnQv7zSHsfEgY2DzSfn8eibMw1sf1q76CPwszqQ9d1hFizv9dgWNr5+1PeGBiAGZWiSdX+FVa2xcKzOyM9O9xAJIeld43nTWdkLENq+/N2YaLVs6g1OZncvZUDnXH+/34XL/rkKFEbb5KN2sUKsf/S3HtvpvViCjVcDrObq2qrbUiuv7KmaWHUEZGqJy6f5X0BHx/8fiWcUT2W+/A7+WPpDGcjweXcniPmR1CLfguaY90rIntWn4HVktfTfhLfY8gTy1sc2L/Nynd6yHGSCZmDcWOGDO7ExdQL8Fl5ql9M5k5clZjW6BkLNbtbNMQ+pqZvWHUsXT8RPwBfqOZrZscRD+2vAbFgK6AWnL2guM9D3c21XOSdzSzrRrtwvoBHcayNT1q28Vm9p2WdsV54mrJP699qM8zm6IoTzazH6TrMdfMslT91H4degbdD4c4/y7GPfBX0O/EGthQyjU8Kgrq09MmeP/MBIWk2/CNx430qInZKL9iOaIhbZtpQZ5zPRAJznne5dHdXfG0AOHRya9YbYJouX9r3Q6/j9NGYkUzu2FYu9R2czyydLbVUnoabSI6VPviFSLWMrM104J7spk9u9Ym/PskXWVmG6bF+RlpU9TUGmlGk5odf7zWdmpzhbppqhU7FSMb4+C1WwJ33FYpK+fgAoo5VkV0HVnMzP5RN7ibToVa22JNta6QtApeNST7jCjGMIl+99fx+e0UXICzNfVRGQ2g6ljbXKdaiuKY4zwzOXruIMP6abk3s9omQ74jov9SZAektrdYQ0cqd6z2t0fiQa/bcn/vAkmfxjVcTqXfqZF1NiumyfVpnGF3Iv1rdVtq3sShvG7W/mZ2fKZtVNsiYj/9lJ6OGDh79DZ8o2zWr0tZaY+BX5vl8PSEw2mBylJcZgWU9E3kWkm/MbNj1K55EnGwFtuRtfZLA9iQNEEFNJ2mCUnr4vPKY/B57g/4nqdNuqG034hteCxuH1cBtB1x274oDSUwppE2X6CviJZoVs9uEpD0E5yMUNkMO+BOlwEygqR98Pv+Bekzhtvg+2TaLkmPWbwWPs+cZRltp5w9I2lVM7sj0zany9eqz6RyzaON8BSp3+L38eOA11peG/CY9Hu+R//6NG4WRAiSLsOF5OtMzM+Y2WaZttfjuqN1R8xFOZtDzrA7Elgh2Uvr4VIun6y1eRx+/34dDxpVNs483A5Zu2XMxWtf9vOzzCEUEV2uNmIzN2ubk0cFAtQdxzvxjb86iDPOBiggSpzaRzZtEWHEK81sI7knd5O02bvZzAZSeCRdYmZDU+gkHWhme0vazsxOHta29plL8Um/7g0/PDeRRBHcdF+eW3ha+g0ZxoHxXog7IBbBjY/f46K97621KRbtbfQd2aiMFIvvArk20avx9JVl8d+3kZmNwwabKiQ91xr5/6pR6RvHI4ZjZGM8NUHZ4DryPeBVlnRv0kL8vRbD8Vb6NdXm4OmsT+k4znA6jKSTcAdeZZy/Hq820ppXHhzTPJIYKb5WLsA10O5ttAuJkhZ871TXveSAPNx6acKj2hef54gdkJxuh1s/a+RdZjbASpOnox5MoZh6+szI1GQFnc1BY3dgk0E7KzWEtDleh/7NR9bQLXUSpA3blpaYF3LH8LmTmL8VEDJvtL0fT03L6mxJ2h84yPqd6e8zs4/U2mRFxmvfnQumFTGmG86rXN854eWL8HTHNwPPwdfJ61vuocg6UmxHRiDpfbW3M5pOk3aCFIzjx8CHzeyC9P55+AZvrPszaBsuhrM8K1v5R8AXc04bBQMW8lTiXyc7/Xm4TszxVmNbdEFamyvNqj/JtUSfaJlAi6QvA4eZ2Y3jfGfLODqREdI5X7zNaSlP13oOvo+9BGdN/dNqhV1qbS8FXmLJcSzpKXgwdN1am9fha9x8/JpVWAp4MLePU4vmkZllGWFyVlmdcdsmTJ4NoFqMOdgK9RMXHonrSA4EqdJ6exy9lMe7aRcbjwQhRhbZkPQmnPW5If2MuHtxEexWe6h07cthVqSMqZuQ6j/TxayM89Vpp/uNFKDuOPRIGlHpZNlFnHEk1D1PvBQRUWJoaKykTVtWwyTn+BmCCAV1X0lfwSmUbfTvl0r6IF6dqsghhOfAniypzxse+A3DEBG3vkDSwZRFgkNpbiqMDODlM/8sT+U73lxrorkoR0R764jQI0vE4qvfFjFqXoVTX/8Dj5wtjafOtPW7K4PnLRddnhoTBPgCg5TTwzLHIJZeEtHZKr52aYOwXWMD9C0ze1GjXZd15DT8Wd0W1+35Li6umUNEU60EXdJhinVJuiA9q9/Gn/898TTrD0g61MwOqzXdmUJR0kJ0WvdUnsK3CbCjpF/hzJWK6dbmEI6c55F2gPqrz/1YUl/1uZZ+96VQTF2uh/IVvBTzSvLUnLeb2TubbS2edjhS66fWd2dx+mFQSyU+PO2o2bZyCNySOdZEkbZFF/vJAnpikbb45m5G/848PeGleEpIhUpkfBvc/qgcm6/DNSZz+AYZxnQGlXB+tmpXy2dei28432xm/yMvwHBwS9vIOlJsR0ZgMU2naWLJyhkEYGYXNm0XBVLSa4jYhu9IfdRT2/dgUAMKYimx4GzUDSWtga/Rp+P27UuH/aZRsAIt0dqcvAiwi1wv7h8MWRtUE3IedqyGs9L+oU5G+H6yd/qCnZK2w9lR9+LP4QaS9rO86LHMxdl3BY5Mc1NbOtP+uDbfy3CHzPEMpmz/GNf1W5Z+u+ReXCcwh5GaR2oP9KwpKRvoqRw/KtRdVYzFPkNcAFbH03K/hLOymuO4jkKxcYvJFIwssmGeKnqcpNeY2Slt39tEcO0bwKxwCFk3IdV98YjDipK+gTMmdm7pfypGCjFhVCiYLM2s8o5+whqUvjZjsBDVDRLNEy9FkShxx01bMcys0on6mDwSujQNIc4adgHWxo30upp9fZI6G/cMP6o23sp5YZYpN2tmV8pT1UZ6wzsgYixVEaAN68Mjv9EsFn1riwy0jGERedW77fHo4wDGeD4j+gEjxeJrKDZqrCfM/CDDRdRJfdwKvAh3Gu1IeyWZqGE1EnIh7WcByzWMyHk4pTqHiOEYcZBHrt2yNpifPeBs7rKOmNnR8qpip+Gikm+3RuqcetH2pqbaJrTf9yXf3cVxMo4uyVDIUwp3xtPijgc2NrPfp3ngFnr3IhYTJR0J6yBKrMEUvnfIKwnlUvhelDk2DJHzXGIHdKk+FxFT/zz+Gyt9v+slPbfeQB0LE0SM3agjW4XRWgoq8dUQcRKUalt01dmZBkZWGKqCaJI+a2b19f+MdC1z+IMlcf1hsA5Vu5IT6BvARpJejjMJ2tIYShysU7UjMxim6TRN3C5PJao73Zq6LRER7goR2/BNDDp/ds4cg3jA4kEzu18ueXGYmR0mL5M+FlSmJdplTr6MwcBZ7liFOhmhmrtFnoywj5mdLNe63BJ3mH6JjNYtoGTP7UhPoylrw5nZ9+TsnHPxe2VrM/tZo82v8EBXJIuhRPMoHOhJv+sYCoIbCUVFEhKKiQsqYGLW2kYcMSOLbFRrNbBKbr1uW6sZ00E+KxxC6iCkambnpcVnU/wB28Nc0T3Xf7EAdcTbaDFhVIhNlqcwOMmMUwnotcCZOO09N5GPi4tUUHGio/OvE2w0s2gjMxtWxQoz+wAeIT/dzEqFwEgOoJtK2wdQvOkObjgjom+RagifwCNrlyRH2WrAz9sGoYBob2SjYgGxeKbHwljDzLaT9CozO07SCfTTc6c9hkfgi+wi9BuRf8Y3XDlEDMdiB3kwovKgaqLyaROZczYXryONRVY48+c6YNPkCKgvuMUlvbugZBOtbgyTKLYGPm+NdMJaJLI+5mJRUjm9/VjgBEuMsBwsKEqM3zv1FL7jqIkvNvqOVn97Jr3zDEn/pboOVosel9gBHb4f4mLq/91wHjWN4y5VnKq+SyvVFTuyFYjWUlCJr6OToIjNaw2R3/R9c4BH2cLX8IlUGFpS0mqWxF/lQcU2dmwJY7oOqbBql6Tt8Q3uhfh5PkzSB8zs25nmI9eRrnZkGuMq9M9ZOZZZVtOp9HsmiDcDH8c3ztXa0BRzD6fSlNiG6qURrapUSCZhKTxdOIdowOJf6XveRM9p0CZYHcHIcvaROVk9TZdHysWC65oubdWywAsDnG3OvN0H39Pt1xJQq+brlwFfTo6cT2bagc9bHwK+Yy6YvRrQlwqsQTbj0sAvgXfL2TkDrEZJm+LP3lNwe3Eu8BfLBL6BM+XZGAfjVbuMhqh8l0APzmAfGtxoIMJij1RTLmFiVog4YnJFNnZqtKnm6EcN+S3175uIg3xWaAipg5Bq8ij/0FKOZboxn5fbQComQB3RzIiUmkMF+gHqVQI6iP5KK/NwgaucFs5IJ1baTG6Jb9yfRyM9x/IiqhEq3khR4ur3mZeWzHrUWybKqSAZVAcP2YjOOqhA3FodIsGKib5dbmabyPUXtsEdUjeb2RqZtotbYZqTgqK9OQ/8EK98MUqe0479XmFmG8tF0t8J/A8eKc09T1MZQ+pr5Y4b1Ikhcu0kvRhf1C7C783nAG+zRlWNyDqigND3tKECvRoF9Eg6jmEuXimvyIkcXCfXwDd0r8U3BwtwnZacU69YlFjSmfgzUTEWVsafmVw0MoTI+Y7aAYEx5MTU97NMeoI8ze9zwOG4E3cPYEMz22GcMUShgGi2PMVhY+By62kpZMW/09rwn3hk/X04C+06MxtwOHdwEhRpW6S2J+BVex4ArsTtskPMrC39aSpIc2JVYei85lzYaPdlnFUi3JZ7e659WnPWxp2qM4zpIfbsM3FH79Kp77vxlLCc9tn1wFZm9vv0fjl8vulU2KWLHSnpa7jj8Tp6c5a1bIyLNZ0eakg6dNjf678vYhumc7Aqro9YZ33dC9xQPx/qD1hUQuozAYvc858+tw7+PF1mZt9MDsvtzezAYb9pFBTQEi3sr5Omi5KGkJz1sx8eXPqo5UWlzwR+g8s/bIAHZK8Y4xl507C/153btc9chc+xJ+O/9Y3AmqPmU43WPLrK+pmKw/qq9hcj9YHT34qLJEg6CK8u+EbgPbgdfouZDWQvyKUtNrJ+JuZV9Xuo7ogB/krDETPsvGlCRTYafY5FtJgVDqEuUF7IsU1QNiJAHRFbKxJGjUyW6lYJaKRxLml3vFzpavikU1KZpdjoL0VH51+kfHpkLD/FDYQ7GJE7/HCCpLeb2VFtm962zW6pYaxYNYRf4JoFP0qvS4YsGiHRXgXEg0vQ1agJ9P8WnPn3NOCruPd/H0vldhfGGNJ3XEAmKtJwmHRxKkYqh4WunaRlcTYoeNQvywaNIH3ngWbWphm0UBDZRE95HOfjTK2RJV8j62TtM3Nwmv6R+HqyAN9M13UU7sh8tG+uVy+Fb2k8CtyXwmdmz4uMa1yU2gEd+h0oZJA7lo4vi6dwbImvY+fiz2LdBijeOI4x5ohodp/hL4/WXjNq/VVLJb6OToIZ3Q5JH8E3Yp/MtU3trzOvXrpjavtB4OrZbDOkzVpVlebWnEMxtbvNRjCmWz5XUrWrz9GX5oI2UemR60hHO/KnwDqVffFwgAr08yIb/662YcE4xw5YKFCFtqCv7+BBiD1xJumkG/DkAAAgAElEQVTdwKJmNpY2keKaLtXcdgBu35wwZJ+6BPDi1O7ncqmFp5nZubU2XzCzPdUiGm95sfjigjG1vfKMGPaQ8ebmzqzmkWKBnlBwIzgHFBEXUtu9cdZanYn5XTM7KNO22BEjT3feH3iCmb0kOUU3M7NjMm1Xw9f1TfHrfRnwH5YYn7V2EyFazIqUsQqK5Z/nqKmtgrIqF6COaGaUCqMW56qa2enA6ZI2M7PLCj82kjJnZocCh0o60sx2m1S/FZSvPHEP7k3/ZGWYmtnb0r+RdKZIjmgEL55gX7Q9jBVKH8oR3zHSWKocDCWLu7qJvu2X/nuKPKrRGhkwszXkApLPwamwX5T0J8tX4isS7dX09APCOeVBZ+X5aa64mJQ7rkFdsC557VHUHSCLA6+hIWpHt/SS9WxQ66e5US6+dplF7rfp35XkKWRtm7aidcTMHkjX76HG1HSBgrgPuDFtQupGW85REFknkZdW3QUXCz0FT3uZj+sLPL32+RI9samm8HVARNw+glwhg7biBrJMhZkGKrbns3Fx5hPT++0oSwcrQXGqHYVp5gDKpAxosFrie/EUtJyuVVuaa1234wX4vXUked0OgEXlgZNX446vfykVKphNGLKur962ruPXbR0bXbY9GyxQSsPIBQuAsyWdQz/79/stXzFyHeloR96EM5/vGtVwFmGkfp5lmB5tiNiGFdI9dCCwPL5eD+hnljh8Wvq+kEYVWkl9VWi7wGJaohGcKU/jXYX+tMO2dMLfyLUrtwIOTM7ZbFolrr/zPWtUXGu0qbSkImtgpGDMX+WaitfJ2TR3DRlvRPOoSsOts/2bGkoV3oE7QZ6IkxfObXyuD8E54JHAsWZ2NMw4xyp2T7PfA+XMxoqJuZ8NstLDcjd4MHgBPU3Vn+Fr8YBDCBdY/yKezg/O3vomg+e4y9o3gFnFEFKs1OuxOPXri+nQu/CS5ztn2m6F5/2tg99cz8bLx12YaRvxNhaXmoui1DOY2hZT5oJjiFLxHsBvYPAbdwk8LWa+NWj8EeefOkSjHwq03DsVsvdQh++IlFofWaJe0sfN83wXND9PC108RTLeh2tyvVXDNbmehDuDNsdFQf+Is4QOqLXpFPGPeOWnBcVSZ/pYMenY1ZYpcb6woZTONmYfkfLUI6+dOkSB0+ci68iRuOFxMv1OkLHKnJdAC4ENFhxPNtKc23AE18mr8bX6GOAUqzEUJJ1qZtvU3k+zut5UMGk7QNJLcMfZ9vScNuDpSevknlNJPwPuTO1PsSFlm+WpvvMtpXwkB8ePzGzTts8Exh5JtYtEa+uOosXxVLOrx11TFYjgp/a747og1+MBjpWAr5vZc8YZx6TRcV0vYkwryDKRe4qehK/tM6XLzew7LWOPrCMRO/IC3Pl8Bf32bEQHdKEizZ1bW79+3neadkT623L4vbkO/VVM68zfMEtQzvJ+hZm1FcDojNrz9xacHbSvMqXaZwsknY0Hupv2XrZiqApYP7W21+FpWqvgztLTgadaC6spOW7Wxu/728zsny3tctk0A8fS8ZVxRv8jcLt2aeAIM8sFZkNz56TR5piukHNMp7VvS0sFdCQ9Ck9fz1ZTLhhDF6Zilc5Yz1hqux4Dz4KGpM+Ni9nmEIrkny8J7IN77ww4D/iU9ar+NNs/lp4A9URSDlK/69Dzvv3QJqRHk27cL9KLqOwAvCfnGIlumAJjiNzkuc3uNWa2gTK6AMFN21QcXhFoSmlrHcYRMZbOwx109QoVO5rZVo12c4Btrby6T0ST60Fca2F/c/Zbrr/Nh32fNcTB1S01YFpphyOdleqgCzZNpHumwhw8qn+oZdIFSpyKtbYjN8bRa5fuzc0sCZcW/r7IOhLZME30HopsnhcGFKCWB/udEbUtaFu8LswmTNIOkFdVeTouYvvR2p/uBS6wFmFuSRvjdsKrccbPt8wrlTTb3YY/U39M75fBbaJwutA4GOd+k7Qi8AUze03mbxEnwdi6HZIWsVmqLxNB23w0iXkoZwMOaVvsYA3akVk7o2lfzCYor5/3djMbYLtIOhd3CL8fZ1m8Ca8ct3etTeX0z7IEzewdmX4vNbOpMGlTUOSFuCj6h80Lj8xmh9BNZrbulPqu9kt74SL6h7U5WOQl5L+Ei0QLWBW/LwYyOiRdiu8d6wVjDjezSEWx3HiL587gnFwkPRB1TKfPFDvHpgU5K+41uPbbBnIh7wPNbGB+knQgnu74Lfy8vRZYBmdjDaTcRc5zdmyzzCE0LTHXkQLUHb2NUxG1Tf0sVM/guEiOirea2RXp/UZ4tG/93KQW3LRNxeEVgYJ6SpLWZTBSMwnmWMRYikQGIqJvEU2u9fHJ6bl4NPXnuAMrR48sQkev/MT1sFK/I52V6qALNk3IdVoMNyTuxyPCnzCzSzJti5yKtfZDN8Ydr10o6jTFdWQq99BsgQqiZx3XyUj51lmhpxTBtOyAro4GuZ7Q5/DndKAUsaRdcMfmBfgc8FzgYxZIPZkESu63IZ8Vri+XsxciToLiCH5q/9HccWtPGZk4oo7ptHl8Kv22yNjjlbPCP4lvBM/GU1z+o8UJeRw+J19Z2HeRg/XhOF9EoUL9PCW2sfr1X640s40ybYtZgpIOwVPtTqOs+lwx5Do0+wCXmtlu8syIg3OO3tkASV8GDjOzG6fQ9+V4ha0P44ysO9ocUMkWebkl5o5cBuV7ZrZ2pm2kYEykemiE/RSZk6eiyZf6mZZzLOLw2gAPsq6Lp7EuhwfkB7SzlNdUrDAw50fOcw6zQkNIHUrqqkBsrYZ9rUZPNbM/Ja9ivSJZF82MSKm5KM6S9EH6PYPfV4rum9kfuxjnJejY71uAY5NRJ7yU9a7yKOABmfbFuhkWyxGdFiJ6SvvildzWwamfLwEuYTAfOAyLlesuLlEP/EDS+ykQfSOgyWVeMvKXeCTjObhDYXPy+bJFsG76AZHSlBGMLMtu3XTBpgYr02mpsJyZ1Vk0X5W0Z65hbRN8S+ZY9d1drt35kl4DnGrWHsHouI4sjqetNDdMuco607qHZgsWrzbnAGZ2XzL66uiyTkbKtxavC5L2MLNDRh1bCJioHSDpJDPbHrhWGX0ay0TP5aXYt8YZQqsD38HTqgZgZgsknUVv7trbzP6n63jHQMn9BoD6SyjPwRlUbQzhdRsOgQvkVVYHYM5GOrX2/i6Ga8zUGeiL45pvE0+lGYFiTUVJX8JT97fAS0Jvi6dMTQIvNLO95AHXO/GKoxfT24zUsQmwo6Rf4eewtYBHyTpSw8j5QtIlZjZf0r3Qp3M5oIUz2yDpfDN7AXBm5lgTVRGQu5IT8LfAYzLtwFkG8+iVj39UOpbDPFxj5YW1Y0btuekKc4H8k2vvb8fZE7MV84Gd00Z90oVodsGZXZ9KzqBV6QXimrjX+tO4bscdAQMwZ12tTVklxeK5JTh3Fs/JBDX5FGCx4yLjJ0vqc4619R3A8fj5Pyy9fz1+7QYcMWZ2jZytuFYaQ+v1CNrqEDvPA5gVDiG6CamOFFurYaQAtcWEeKclalvH9unftzeO70BPjKuLcV6CcL8p8vM05StOzKQiRTZt03J4dURERHVbXC/nWjPbRa4qnzOSwggaS2/GJ6jPw0yJ+oEyvQkR0bd98YjgipK+QdLkahnvVcBi6bt/BDzXJpQKE/HKExTBLUWJY0PSXuaVCV4v6XWZPsau7hNB8LxFnIrFG+PgGN6Oi+Y9IOlvtBvyXdaRr+HzzovwFJ0dad/gTeUemkX4i6QNGtGzv9UbRNbJGuZKWsz6y7cuVm/QxZmHp0Q0nT87Z45NBVO0A/ZI/0bu5+vxANcnCp3O/8CN98XxAgJrWr9A88LAyPuthvom/37gm9aeRjo1kXZraIVI+gyufbQwEXFMP8u87PUNZvZxSZ8FJuXUrmzolwEnm9k9ktra5gK1bRi5jkTmCzObn/6dtJ08NaT1cQlg2RTsrk7sPFzzLodPJvv7fbjdNw/f3Ofwadzh3McSzDU0szabcWxIWhMXcV/BXH5gPeCVZvbJaX3nmHjJtDo2s1vkla1WSu/vwMW8Z6CeSPxVkr6P760MdzwMY9+tRS9jYQO5sHwuQD2toFdkTv4scJmkehbEp4b0vQBnsVfOl53SsQEWe8Q5phgTs9gRo151tpuVqrNJyla2lGeEDKDl2sGYa9+sShmLQDGxtYgAdUQz4yEXtZ0tSAvRvvjCAp7z/ImGY6i6Tq2wftHJqZTI7ALFUlyuMLON0z26Be45/qll6JwdxjHRUusdvn8O7vA6nwJNLknLmdkfpjSWCA11ommHEWelpFeY2RkKiPZOE8HztjI+H25Gz6m4ezXvpjYzG2M8kti3Mc7NkZExTBPqCSPekDZOw6jzD3nq6jShAmq5uomSjizfGlwXXoffL/Px9bnCPOCBluj51DAb7ABJskJjTi7gugcu9HsdPo9ftrDv45L7rdZ2JBtMD4FIe9qsX2lma0y67yHfGSn2cbmZbSJPEdoGd+bfPInxpnG8GnfibQw8GjjTOhYAiawjkfmi8R3r40xlgIttAiXOpwFJe+BshifgOi3VufgzcLSZHV5re6CZ7S1pO3PGTel3PI4eS/Bya2EJKsaiDUHSRbiu4lHWkx+Ymk7PJCCvqvVkc6blcsCjkvNm3H5fgVcPe4SZrSrp6fge6pW1NjnNwxnknHdqyVgws20zbadVoOin9OZkSNUncee+2aA8SrEmnwqkMdRedRHIpz8qVjCmWKagZmvOB/bDr/lHc/OmnBlbYXG8EuY1zWs3qbXv4ewQyomtvc0aZeFS22IBahVoZqiDqG0Ucur0e/FKTm/T6EpOpZS5yBgizrFT8HzIanP7BmB9q1WQ+XeBpCNww2YHPFpzH3DdOJGWjpvuInG29LdIDmxEb2gFYH/gCWb2kjTRb2YZDaGgRx49hPoBs8lZGcW0zltkYxwdQ1rIZ+5Nq+m/jYOa8/Zi/P7/H1wYcaGKxc8WJIdYa/RMHURJ0+deghsz4GKKnVkVaTO4Kp6K/MHan+4FbrCFJPA7LTtAg6ktM3+iwYyT9AUz21O9So3NMQxUUErG40a4I//p8ojp/g/FWj3qfqu1yxWt6NOV6OokCI63MrzBN07L4Zu2w9s/NVkEg1P74DbcC/CAqOEOhawWUoexPAZnFTyQbNZ5bY6FQJ9TcbAmJ8tb6aW5bI3bToe1f+qhhaT3jBpfuifXw6vuZeeils8tAzyZfifPAEtQztS4FXfCz7BozWyPZtsoFKi4NBuQ7L0N8b3YmpKegLPjxhbdlgeQnw9cOEnnWLo/qoyF9ZNN/nXL6EBOK+g1zblZ0vl4sKnOYt+lHhhSt6qLJQVjwo4YjVGdTa5//C0ze3Hj+ETO78PWIQSgQrG1YJ8l3sZO5ZCD44hUcgoJvwbGUNxvyXkbYxxTcXgVfvdYaWuSVsGNpIlEooKb7kiJ+mjVt/+lQG9IrlWxAK8gsb6kRfCFKVcVLSrcPdIrP+71myRaNm334JTOo3LOtymNIxLNGOlU7LIxDo7hCGANegv+a4Ffmtm7mm2jkLMlTsEN6gW4lsJHzexLtTaz5h6aJtSjMt+rRGUG2qjMUytdHhjvkng1lgflqQdrA2e1ORWm8P1TtwMKxvBMM7tagQpKtU3YdcAmZvYPSTfbQqp2qEC0Vj022HNwfZoKSwEP2sJng9UN7/uB3y0sB+S4kLQYrtt0z8jG5X0+Cy+TXReg7aSVOC0Ha63/G/Bg1F/S+yVxZtysrGgFIGk/XPC9qsQ3DzjEasFFeRrzW/G1q16hr1UjSQGWoAIs2g6/7yzg3bhTZQNJ2wK7mtnUUrPGQZozn4GzNCqnzUSqokn6iZlt2nCOZftWgLWlKWYszAaogMWe2kWrKZcUjAk7YjRGZcv07N1kU6oIOls0hLriAeD3+AOxjjwvMufhjghQj9TMsG7CqFGsbmavTQYRZvZXqTVBu1j4NYhIv3+TNN9SpSI526NNDyCK4hzRKSCspyTpubljuXsz0OfaZnYrLog2YDC1GEsRcbaIGFlEb2hZMztJznDCzO6X1CZWV5S/rJjeyLR0tqqxRJyVt+MR5bpj415gTeBonFU3NQTPW4X1bFCrrelQfC/wNjz3u4k+ge2OY3g+8BRL0YvkpLp5yE8thpl9Jf33IvL3L0z5HppF2MfMTpZTmV+AU5mPpJdWUEexKGna+B8ILI9vUiYl5nox8Jy0np+Layi8Fo9gTx0LyQ4YNYar078zjp90PlYcEoT4dYo0ngacJ+luYCK6boXYHPghnkbYRFOs9se41tGy9M8v9wILPd2nNNI6DXRxTGuQ+XuJpCMnEXyQ9DVcwPw6egEco3vxjOJ1pCNEv1DuA+nYbMZc4Ap5ZcAVgMPpCdcCYGYfAD4g6XQze1Vhv3vQYwluocQSbGlbOdj/JK+e+z/4XD4JvAvP9Fhb0m/wiqc7TajvaeCfZmZKYv/JqTgp3Czp9bjm3pOB3fH5L4eI9uFVab4/Gg+23gdkdeYUYPTPFqQ5eYAJm2n3oKS9qGnajkBJwZgu68H2eHW2z5gXuHo8njY5gEYQeS7Oyi4dfxgPW4dQm4eb/KIREaAuFuLNLLbDhFGjKK7kREz4NYJIv7sBx8m1hIRvFHaewBhgeg6vkbBuIqr1h3txPL++ooN2RRdjKSfO1rboR6q+RZTv/yLpsfTu401xVkwOpaK9xWKrHa9fBBFn5bOsvwTsGbVo/UQcHCPQRXR5pFMxuDHuMoZf4Dnn1eK7YjrWGW2bqgr1zdVCuIdmC6rN0svwtJLvSWoT9ywWJQUOwsvoTroak1KgZFfgCDM7KEVwFyqmbAeUjuFC3CheBF9rfi/pUjMbuM/NbOv034+l67c0XiRgocCcuj8HZ3MNNW7N7FeSfg38Pcd2+jdDF8d0cfWbDtgQWKdy1I+LheBgXQBcLqmqOPxqxqh2ujBgZv8pT4m5HLgbL8qRXfsCziDw5+nvkpAL/t8qqY118OXkZP4I8F3c+b9P4LtaYV5VbMvkWJljZtlKWbMIJ0k6Cni0pLfi+8WjJ9T3e/CS8//A91zn4BozOaxhZttJepWZHSfpBPr19GZgZu9M//2SpLMZnrHwVRKjP73/GZ4JMGufEwWkMQhUU57WPGSx6myfoecQuh/4lZn9ZhrjgodxypgCefAKCFAHxzA1YVRJW+ET8Dp49PPZwM5mdmGmbRFlrsMYwv3KKa2Y2Z/H+e5GnyNzRKeNIBOk+dkVgS+Y2UIvp6lCcTYFRN8iG6DEZjoMWBfXmFoOp20OLEiabgrmtHS2ilMl0zl+UW0eWgk4x8yeosIc4oUNeZWD/6RXGnY7fJ4diAJPa2MsF57cCC+XbLiD9SqSY9EyOikFfVbaT2ulvr+b3r8Cp+8ORCmndQ/NFihIZVa5KOmlNgGNhUy/1+L32+fxNIObJd1omXTUaWKadkBgDFVax1twdtC+yqQbyIsQ3GyzIF1AMS2684FtbILpTv8O0BR19lKgafe0oZkYpulgTfbI/PT2R2Z27bh9ThNytvmR+NzyNJyFuauZ/TbTtpiJmZxiu+DC1c/HnU2LmtlLp/RTskjMlTcymHa4UCuvRpD2Zi/Ez+85ZnbeQzCGkdqHakm9rJAJtNbTiR8Wmk7QW/tGHUvHc+Lf1jhvD7lEgKRLzGy+enqCFZPR0uuPwMFmdsQkv/dhyxAi5uH+ME6V7ROgzjUMehsjaTYhmNl5kq6hV8lpD2vRSLJCylyHMYzst+2hUcpum9DDEymfPi2Mk7b2a+ApkxhE0BkTKVH/4syxNhRHHc3sGrm+xVr4fdwqHDrFyCBML+0wwqJ7Hz4P/RI/F6sC70zRsYVaaawUZna8pKvoORW3aXMqMr1o9EQEUOuo2D7JoNqgikxK+hjwvZaPPZSpqwsDxVTmhNLS5VfJNfFOo5/5N1DZI4g9gA/hwZ2bJa0G5JzK08bU7IAAFknXa3t60d0BmIv/3iZppXEDRhNAcbQWT3O4UZ7+X287azeO00LQMT1WGeIRWBa4RdIV9D/X49qiU1lH5Ozkm6uNsKR5kjYxs8vH6XfK+Awud3ELzDh9fojrpTVRzMS0h5glWMP3gZ8ANwIPPgTfH0bam11O2j9LekzLnBWCpA3x4Nsq9DvHcvpEFWtrH3qsraadlMsmmOmWfFZBhNE/W1AsjWFl2Q0PuUSAmc1P/2bHkK7Rj4GJOoQezgyhkIdbhQLUQW9jsTBqFJK2xhkd96T3jwaeZ5nqOkEnVmQMJYKy4Uj7wxFBJshh9Gh+c4CnA3dO4lxEotGaUon6aNRRI4QnF4ZHPnL9gv2GWHRyYc/KmLttElHPaSLnQGxzKk4zGj0tSLoN10n6R3q/GF6paiC4MK176OEIxURJiyt7BL5/LnCgmb2/ax+TwjTtgMAYtsM3B5eY2TuTc+xgy7BSkxP0GTjjru5cmXhQaRhKorW1tm/KtMXMZqUjfZpQrNhHqNxzcBzFQubBfqdVBfNa3PlfbXbnAFfZmJkC04SkuZYEpWvHHmv50tdFTEzNLpbgQPXA2QxJbwc+Dvwdd2ANrYQb7Ps2PADT5xyzhahbpgCjf7ZAs4DF/lBA0uNtwuzMhy1DqIOHu0iAmgJvo7oJo0axr5lVuc6kiO2+eJS1iRLh1y4Y2W/HSHsI03J4BRFhgtQjcPcD3zSzSyc0jpHRaNVK1Ev6M/SXqJ/AGIqjjioTnlwYHvmp6GwVsujaquqsnuahcZkS00Rf5aFkTD6zpe00o9HTwvG4aGddV+KrLW2npdX2cESxKKnVKuJMConpMn90y+lhIdkBRTCzk+kZxJU2R1uK8kT0P8ZFYbS2avtv5/gZgoimYoT5G8K4jp8hmNY6osoZBDMis7N9D7S6pCOBFcyrDa+H2xs5bbciJuYsYwl+Ta7Fcyb9Yx6bcTMlvB+3wceuaJ3BH8zsu6ObzQSuXsNgoPUTmbbFThALMPpnC2xKLHbNcomASTuD4GHsEKpj1MLUFs2kuxBvF2HUKOZkjrVdr0g1qdAYAv2ugDscKvwzHZsEpuXwiiCStvZoMzukfkDSHs1jHTHSWDKzA4ADFChRX4KOG6CRwpO2cER7p5J2WOisjFTVmRWIOBVn08Y4CjP7lLz07XPSoV2sXVdiNqSuzhYUp2zLS8IPbGrMrE2wuhTXSvou7gipM10W1vO0MOyAIiQW1sAc2xI0eamZ7d34/IF4pb2FhpKNiqSTzGz72hzTh3EYLg9jFDump8Eu0KC+xcyfaNGsKex32uvI7ZJ2x+ci8Hvv9gn0O00cjbNGKhvpBrmAcG7unIeXnX9h7VibfbEMXtVqJEswsQ/PNrN7JX0E15f7pOUr20bxT+BgPM21upfaKtbOBvwSP8fTwL6SvgKcz+jU6tPxVK6raS82VCHiBKmu9c3VtZY0qWs9FSgmjRFJ7/6/LhEwgIdtylgECghQp/ZFQrzThKRjgT8BX0yH3gU8xsx2zrQtpswFxxCh4n0Y1y+oR9pPTM6JsSDpejxdru6YusgWsnhoKXI0WI0pGtwwlioK+IyxVJ/klErUq0VUruvkLk+PakXO+FRAeHK2e+RzyF3Xca/1bEKJU7HLffH/4+ENBVK25dp9HwCOsp5Q5U1mtu6YY5h4KtrDFZLqbKDFga2B31pGY6dlfRoQoJ42VJD+XNHi2+aYf8e5RVMqIvJQY9rriLyy8KH4fGX4xnsPM/vDOP1OEwqI/EpaPMf6aOm3ON2vmhsSI/OTuAPno2a2yUAHQUi6Hdh4SoybiSMFohfgVd/qTpuxtczkqcdrAzfTSxnLrmeR9VOBFMzGtd4P17CayLWeFprrmYZIYyiQ3p17ztqevf8r+D/BECpAJJoZ8TZOE+/Bqd0n4ovXebhTaABBylwxIv0GI+1RRMqnTwUlTBBJr8ON2tVS5LrCUrgq/DiIRKO7lKgfiY4GWUR4cmoe+UImTxeUpJgWlzifLaicisDJOcdi3ak47U2ZpGfjJc1Xxs/txPL2g+OYDamrswIWS9lewsyukFQ/dv8ExvDvys4agJmdUn8v6ZvAJY1ju+GsiNUk1TUhlgImldIcwchobS2Q8BrgW5aprvTvBptSEZGHGgvBufdkM9uhfiCtLbPWIQT8r6TV6Yn8bkt7ieqbJP0OD6T9CNcTaxMEjrAEq1T//6+9+4+SpS7vPP7+QFSECKLgromCiIQbovwyCJJ1AwqbiMYEFAgB1BhBxWPAJBuTjaygEYIGslnWgBiWgJIF7oqgEPml/NDlooJcTFRIDCYejKIiv8QAHvjsH99qpu/cnjvd01VdNVOf1zn3zK2anprnTM90Vz31fJ/nVcBZti+XNG1158A3aK7ipgkfplR7N9EEew+P6F24gBslvcj234/x2EmWYA4/1x+p+bmu1SRV7ENezFz1IVQ91QY33OfdFOldi4C+JITuUmnKfAlwtaR7gYXefCbpmdEY2w8BfzTOY5tKYk163OoisfbSwqYSXhMaZ9najZQ3661YNxnzIDBVU7ZJTpZsH119bHJq17hOmOCxk/RGmFRTyw7HSVYOeiONbLxeQwxNaCSpuERnA++klEc/tshjm9SFpaut07ympKPuKs8zyUXNON//D21/QOs2739CHXdrV4AdKOOnh/0t8GngZNY9t3jQ7fTsmORC5WmUc7cfUm6SrbZ994zi7JQkppfsdMpyp8X2dcnbKRe3qyR9G/gm5UbZemy/QNI2lJuyrwI+JOm+BSoa9gfeNW/fK0fsA/i2pA9XX3OKSv+aUS0tluIhYG11U6HWipuGPMn2Bm/wTeFGSTuNeW3zn4A3qjTmf4S5m2RPJDS0tCWYTT7XtfLSWmNM0lOtdy0CepEQGudu5hKzjY1RmSRx8Lw3/Qts/8qIhzeVxOpEcqwjVVuLVoLY/ldJd1Eq0mbaj2EUdaCj/oQ/hyYz8o302RonWekZNF6vW8eSirJlWTQAABa+SURBVPfb/nTbQdBcr7ZlxZM3JR11UXP4FCEM/r663rB8ZjTXz0XVx+8y7+Kuqha4n/K62gVj362tXkNPVOk/dShwvaS7bO8386jbl8T0BCS9FNgb2Hpete7mwMbtRDUel+bw+0naDNhocO4wisqS+1+iJIR2oSw9qqNK8BDKhfSfuwy3eTZlCXAdLmH0oJyu+rSko4FPUX8T7L0oybEFkzxDXjnG8ZbS467J57pWk1SxD+2b5Mb6iqzE3JA+nsyOvEBdYraxSVuNeNNf545fU0msriXH6EZiaqxla9XF0uOStthAue6sjN1MriOazMg3suxwwmRlk43XG9GFpCJlKckHKc0xh0/CZt3osPWlqx0yVlPS6rX6GNtjXdSM6VDKVJr1mvf3le0mJzQ2ZSkTsL5HSXbdw/oVUH2RxPRkngz8NOVnNPx38gDwulYiGpPmTZMaLLv1iGlSlL6SX6L0+XzrAoecuErQ9o+BiyU9q6pAgpqGRXj5TQ8cJNOHrxHraoI99uthdfN5Y8r548i//aUswRw810Pb32GKat6GNVrF3sdKzF40lR6HGmrEO0U8twAHDu7AqjTc+4TnNYOsPtdIEqvt5NhwYoqyznidxNSsY9OYzcYlXQrsRun7NHyxNNMyWE3QTK4Pxn3+JjzmJA3tGmu83hSN0fh1BjFcO2K3bc9y2dogltYHDnSBJmtKepPtvWr83l8D9qNc2OzD3PvCIIaujiyu3ULnKwMtJE0bIekYymvn1pQhFxf1+G+vkSEiK52kbZdykdwmSVcwN03qieXStte7CJa0C+XGzX+mVNv9E2X4ytlTxvAaykX3z1ASsttQBpn8wga/MBoj6R3Ae4C7WbcBdR+nLjZCK3xgzChJCFUknWX76K5cfEj6VUo1zvWUE96XAUfbvnLoMU1Nk+pacqz1qq1RVR8LVYJIesOoY8z6bogm6KjfBU1m5Cd5/sY83pKSldXf1KDx+g2ur/F6I5JUnFP379ByJukUj2hKOn9ftf8M4GepaTy8yujot1Huyn6bdRNC9oybjbdpgfOVgVaSpk2QdDIleb627Vi6IInp8Un6H7aPk/QpRvcc6+yyEE04jVHST1OSQi+j6jVke4PT28Y45m2U37VrbO8maV/gCNu/M81xl6PqRv3ZwN8Or+BoIY5vAHvaXtFNjsfRVBW7ltl06zokIdRhkrairCsFuMnzRjM2lcTqSnKsS4mpSSpB2qYJRtTPIJaxJ0Q1mZFv6vnrQrKySW0mFSUdYftjWmBKm2c8nW05vQY0bf7Poto3cnS5GhoPL+kM22+b5hgRy00S05OR9GLbt0xS1dgVks4CTvcY06RUehk+hbLU/nPA5+qoiJJ0s+1frC6Qd7P9uKTbbO8y7bGXG0kvoLQxOJTSw+4c4CrP+EK6ujbb3/bU0zqXu6aq2PtYiZl1x/N0pGfGwGOUEs1NgJ0kYfuGwSfdUOPXpo67BK1POtIE/ZQkXWT7kKGEzDpmWM65lGZyTZlkQlTtvREmef4mPO7EDe2WEy1tQkXdNqs+ttofpanfoeVIEzYlrZJm99j+g7pjSTJojqS3A+fPq648zPZftRtZNKALPRWXDdu3VB+vl/RkYBXlvewO249u8Ivbt+g0qSGvtP39BmK4r6o8+hxwvqTvMVTpuRQLVWsNdLVqy/Y3gD+RdDzlPPt/A49VNz3+cobLle8ErpN0Oev2VZzpTbKOeOG8m3LXVsvKp+JuTLeeqVQIzdNUtnEJcbwZOBZ4DrCWUim0ZlR1ToMlc11KjrVqnEoQSc+2/R2Vfk/rqeNuzXIj6Qu29xzzsY1l5Ouu5OlKFV1TFvodHujp7/KKrgYbh6QtKA2lx25KKmmN7ZfOIr6+krTW88ZL11VdGd2w1GXKUUh6FXAm8M+Un912wFvcjQmWI01yLlm9Nr+H0kMISruJ93rK4SYqwwD+nTJ+/HDKlObzp1muNFStdRDwH5m73joMuNv2O5cecbNUJh3+NnAAcCVwPuUa6cj5r8ENxvCeUftdTbTtk6aq2PtYiZmE0Dxd6ZlR3aHfg7JUbFdJqygXxweNeGxTJXNdSY61lphayrK1aonLBbb/ren4uk7Sn1FGu441Iaru3ghdWnYYS6MyTvd0ykhdKH//x9q+a0bfP79DU1DNPYRifdX5ws6DpQtV1chXnMavK04S00sj6Xbg1VWVB5K2By63vardyOoh6ePAPwCDXpVHAruMumZYwrG3BXawfY2kTYGNPf20yCeWoy22rytUegjdR6l8/7jtR4Y+d3EdP+sYT9OtMfrYIiBLxtb3ZUl7zcs23txCHA/bflgSkp5SXZDsuMBjGymZa/C4k2pzfPpSlq09Dbha0g+BC4HVtu9uLsROG1QHDb/Bj/y5abIR7uNqejRlquiadw5lXO7g7/2Iat/+M/r+rS9dXeY2oYwJH/45maHxtjG1K4ALJX242n5LtS9WiJW+THkGHhwkgyp3Us4rV4rtbb92aPtESVM3YZd0FOX97xnA9pTk/pnAK6Y9NrCZpOfbvrP6Xtsxt1S8iw4exDrfLJNBkrYG/pCyfHSToRj6dC7SSGuMPrcISIVQpels4xLi+QSlLPE4yon0vcCTbB8w4rFNlcx1YkpVV6q2JlWVlh4KvBa4y/Z+LYfUacsxI9+VKrqVbIHlMOvti+grSRtRLtoG7zFXA39te7G+bbFMrPRlyk2RNLhQ359yPn8R5dz+YOBbto9pK7Y6SVoD/Ffbn6+2fwn482mX61ZJpZcAXxgsQZX0965h2pLmpinfSbnw3payjO/KDX5hi6qlh/MTMe+dcQxXUW42/wHwVuANwPc9YspnLE0fKzFTITSnS414sX1g9d8TqhOALZh3x08NNX5t6rhTaL1qa4mVIN8Dvku5O/6sxoPsEE0wIWoWGfkGK3m6UkW3kt0j6Qjg/1Tbh1H+pmYq1WBLo9Jwc1ST/ammjMU6Vtk+k3LnHgBJ+wDXtRVQ1MvdGfax3Pza0P/vBgb9a77P0EX9CvA24Nyql5CAHwJvrOG4j9h+VCqnZZJ+ig00hJ6E7Ssk7UBp9A3l5vsjG/qaNkk6E9gU2Bf4a+B1wBdbCOWZts+WdKzLlLzrJX2phThWnD5XYiYhVOlyk1QvPBazqSRWJ5JjHUtMjb1sTdIxwCHA1pS+GUdN2wtnGRp7QpTtk4GTG87IN7XssPVkZQ+8ifK8/QXl7/9GSvXkrLW5dHU5u2zo/5sABwK9769Ws4sknQd8kPIz/gBlmW6aea8wSUxPxnYb7xUzZ3stsIukzavtB2o69PWSBjfs9qf87n2qjgNX/Yh+D9jW9lGSdpC0o+3LFvvaluxte2dJX7F9oqRTgTaakv+k+vidqmLp3yhL+mJ6vW0RkCVj0Vnq0KSjSZatSToZuLB6g45FzKJpb93LDru2xDSat1yXrnZNtbzp87b3bjuWlUJlEtAplPHjT6NMvjnF9uOtBha1yzLlGLZQFfaApxxFrlIa9Gbgv1Aqj66kLEed+uJR0oXALcDrbb+wShDd2NXl4Kqm5kq6iTIh7R7gq7ZfMOM4Xk1JBD+XcoNqc+BE25+cZRyxsqRCKDqrY1VbY1eC9G3d6YZovAlRs8jI113J04kquj6QdC7ld+a+antL4NQWlhylGqweO9CzJbQz8BPKaOinUiqEvplk0IqVZcoxbFCFvSNlMvEgKfBrTLmcqerj+NVqEttHpjnWAra3faikwwBs/1iDtWnddJmkp1MqMb9MOT9t4ueyQUMVVPdTlq9FzfpYiZmEUMQGdGzZ2nK06ISoJnsjNPX8dSxZudLtPEgGAdi+V9Jus/rmeQ2YjqQHWbfnxHeBNL+s15eASykXhFsBZ0p6bapGVqQkppdA0na2v7nYvuXG9okAkm4Adnc1Dl7SCcDlUx77MUl3SNrG9remDnZ9j0p6KtX7g6Ttgc72ELL9vuq/H5d0GbCJ7ftnHUeHbpKtZL1rEZCEUMSGpRJkOlvbPmdo+28kHTfqgQ1l5PP8LX8bSdrS9r0Akp7BbN+78js0BduL9hGLqf2O7UFS4DvAr0s6ss2Aol5JTE/t48D8Zen/l7LMciX4D5RBHAOPVvumtSXwVUlfBB4a7LT9mhqOfQJlWM5zJZ1PqSTvbM+nEeeon5d0RgtVI63eJOuJ3lViJiEUsQGpBJnaJBOias/I5/lbEU4F1khaXW0fDJw0q2+e36HpSDoQ+OzgTmpVcr+P7UvajWxFuaV6nX2+7fdK2ga4o+2golZJTC+BpFWUMeFbaG4EPZS+Kytpyth5wBclfaLa/g3gb2o47vE1HGMk21dJugXYi9Kf6FjbP2jq+9WgK1Ujbd8k64PeVWKmqXRENKZqDH46ZdrNYELU744qP07T3liIpJ2Y6yX12R5O7Vu2JK2d3yRU0q22c0ezJpLOAB4HXm7756slBFfZ3qPl0CJaJenXKcmR1zDXXwfKhf0Ftm9sJbAGVIM5XlZt3mD71jbjWYykz9h+xWL7uqIr56iSXg/8N8oUYygJqffb/ugs41iJ+jwwJhnFiGhMVV0xbmlx7zLysThJH7V9JPC1Efui+zYasS/nHvXa0/bukm6FJ5YQPLntoCLaZvtS4FJJL7W9pu14mlRNZJ16KiuM7P02/3ttPsWxNwE2BbaqkteDRtKbAz+71OPOQCfOUW2fJ+lm5m6SHZSbZLXpbSVmTsoiojHjNL9Lb4RYxC8Mb1STT1ZK34c+uFnSacCHqu23U0YNR31+Uv1dDJqzbk2pGIqI4m5Jn6IsTzKwBnin7TvbDaubBr3fJL2P0pfso5TEzeHAs6c8/FuA44CfYd0E1gPA/5ry2E16MXPnqADbAHcMzmFt7zyrQKoEUJJANetzi4AsGYuIxoxaGjJ/X7WsbEF9foHuM0l/TCmLfirwY+buIj4KnGX7j9uKLcYnaTNKH4r9ql1XA39q+6GFvyomIelw4FBK09xzgdcB77a9eoNfGNETkm6iJKUH/Qx/E3iH7T3bi6r7JN1me5fF9i3x2O+wffrij+yGnKvGSpaEUEQ0RtJtlAayw83vrrf9onYji+VC0slJ/ix/kp5GuYv6o7ZjWYmq5rmvoCROP2P76y2HFNEZkr4yv4KjrsTGSibpRkoi7QJKZdVhwNtt713DsZ8KvI16J8tGxBIkIRQRjVmg+d1Jts9rL6pYDiStsn171ShzPVW/hOg4SS+iTGd5RrXrB8AbbP9De1FFRJ9IOgW4l7nExqGUkeofBLD9w/ai6y5JzwP+kjIS3sD/A46z/S81HPsiSnPvj1W7fgt4uu1ZT+2K6L0khCKiUZkQFUsh6SzbR0u6dsSnbfvlI/ZHx1R3mP/E9rXV9j6UpPDUd5gjIsYh6Zsb+LRtP39mwQTQnaldEZGm0hHRoEyIiqWyfXT1cd+2Y4mpbDZIBgHYvq7qKxQRMRO2t2s7huWoalB/FPA8hq4ZhweDTKETU7siIgmhiGhWJkTFVKoRtceQPgPL1Z2SjqdMqQE4Ashkn4iYGUmbAr8HbFNVnu4A7Gj7spZD67pLKe+51wCP1Xzszkztiui7LBmLiNplQlTUJX0GljdJWwInsm5C7wTb97UaWET0hqQLgVuA19t+YZUgutH2ri2H1mmS1jb1M8rUrojuSEIoIhqTCVExrfQZWN4kHTx//PmofRERTZF0s+1flHSr7d2qfZkytghJf0pJnP1dA8c+FTg7fSUj2rdR2wFExMpTjUAGWC1p9/n/Wg0ulpsvS9prsJE+A8vOqIRwksQRMUuPVmPODSBpe+CRdkNaFo4FLpP075IekPSgpAdqOvbXgY9I+oKkt0raoqbjRsSEUiEUEbXLhKiY1qCPAPAkYEfgW9X2tsDtqRDqNkmvBA4ADgEuHPrU5sBOtl/SSmAR0TuS9gfeDewEXEUZo/5G29e1GVeApB2B3wYOo4y1/8jwIIKIaF4SQhER0TnpL7C8SdoF2BV4L/Dfhz71IHCt7XtbCSwieknSM4G9KD0Nb7L9g5ZDWhaqPnA7AJsM9tm+oaZjbwy8mpIQei5wEaXf3EO2f7OO7xERi0tCKCIakwlREf0m6UmUC7BVlNeAO2w/2m5UEdEnkg4EPmv7/mr76cA+ti9pN7Juk/RmyrKx5wBrKQm1NXVUeUv6C0oy6LOUXkJfHPrcHbZ3nPZ7RMR4khCKiMZkQlREv0k6APgw8M+UxNB2wFtsf7rVwCKiN0ZNyxpuMB2jVUu396BUVO1a9Yc8yfZBUx5XlCV8p9l+aMTntxgk7yKieT/VdgARsaK9cF6vl2slZaJERH+cBuxr+xvwRDPXy4EkhCJiVkYN0ck10OIetv2wJCQ9xfbtVc+fqdi2pENsv2+BzycZFDFDmTIWEU3KhKiIfntwkAyq3EmpGoyImJWbJZ0mafvq32nALW0HtQzcVS2vuwS4WtKlQF39+74saY+ajhURU8iSsYioXSZERQSApDMof/cXUV4DDqa8HlwDYPvi9qKLiD6QtBlwPLAf5XXoauD9o5YrxWiSfhnYAriijj5wkm4HXkBJMD1EWVJs2ztPe+yImEwSQhFRu0yIiggASeds4NO2/aaZBRMREZ2w0Hlizg8jZi8JoYiIiGiEpGfavqftOCKivyRdDRxs+75qe0vgAtu/0m5k/VW1E/iq7Qer7c2Bn7f9hXYji+if9BCKiIiIptwkabWkA6rJMhERs7bVIBkEYPte4FktxhNwBvCjoe0fVfsiYsaSEIqIiIim/BxwFnAk8E+STpL0cy3HFBH98rikbQYb1XKlLJFolzy0TMX242TyW0QrsmQsIiIiGidpX+BjwGbAbcAf2V7TblQRsdJJ+lVKYvp6SvPilwFH276y1cB6TNLFwHXMVQUdA+xr+zdaCyqip5IQioiIiEZIeiZwBKVC6G7gbOCTwK7AatvbtRheRPSEpK2AvarNm2z/oM14+k7Ss4D/CbycUq31GeA4299rNbCIHkpCKCIiIhoh6R+BjwLn2L5r3ufeZfuUdiKLiD6pGknvAGwy2Gf7hvYiiojohiSEIiIionaSNgY+YPv3244lIvpL0puBY4HnAGsplUJrbL+81cB6TNLWwFHA8xjqHWT7TW3FFNFXad4VERERtbP9mKS9244jInrvWGAPylKxfSWtAk5qOaa+uxT4HHAN8FjLsUT0WhJCERER0ZS1kj4JrAYeGuy0fXF7IUVEzzxs+2FJSHqK7dsl7dh2UD23qe13tR1ERCQhFBEREc3ZBLiH0jh0wEASQhExK3dJejpwCXC1pHuBf205pr67TNIBtv+u7UAi+i49hCIiIiIiYsWT9MvAFsAVth9tO56+kvQgsBnwaPVPgG1v3mpgET2UhFBEREQ0QtK5wLG276u2twROTePQiIiIiPZt1HYAERERsWLtPEgGAdi+F9itxXgiIqJlKo6QdHy1/VxJL2k7rog+SkIoIiIimrJRVRUEgKRnkP6FERF991fAS4HfqrZ/BHyovXAi+isnZREREdGUU4E1klZX2wcD728xnoiIaN+etneXdCuU6lFJT247qIg+SkIoIiIiGmH7PEk3Mzdl7CDbX2szpoiIaN1PJG1MmTqJpK2Bx9sNKaKf0lQ6IiIiIiIiZkLS4cChwO7AucDrgHfbXr3BL4yI2iUhFBERERERETMjaRXwCsrI+c/Y/nrLIUX0UhJCERERERERERE9kyljERERERERERE9k4RQRERERERERETPJCEUEREREREREdEzSQhFRERERERERPRMEkIRERERERERET3z/wHZ6BP/Ug/xAAAAAABJRU5ErkJggg==\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":[""],"metadata":{"id":"Z94_JrqOCvR1"},"execution_count":null,"outputs":[]}]}