urban_text_classifier.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"zen city - home task - sariel_gilat","provenance":[],"collapsed_sections":[],"toc_visible":true,"machine_shape":"hm"},"kernelspec":{"name":"python3","display_name":"Python 3"},"accelerator":"GPU"},"cells":[{"cell_type":"code","metadata":{"id":"5DXGjaSWsu7k","colab_type":"code","outputId":"7daa588e-a2ec-4496-82ed-65059fb681e8","executionInfo":{"status":"ok","timestamp":1568835402223,"user_tz":-180,"elapsed":24330,"user":{"displayName":"Sariel Gilat","photoUrl":"","userId":"01352438547208519443"}},"colab":{"base_uri":"https://localhost:8080/","height":938}},"source":["!wget -c \"https://s3.amazonaws.com/dl4j-distribution/GoogleNews-vectors-negative300.bin.gz\"\n","! pip install nltk\n","! pip install gensim\n","! pip install keras\n","! pip install sklearn\n","! pip install pandas\n","! pip install numpy\n","! pip install matplotlib"],"execution_count":0,"outputs":[{"output_type":"stream","text":["--2019-09-18 19:36:21--  https://s3.amazonaws.com/dl4j-distribution/GoogleNews-vectors-negative300.bin.gz\n","Resolving s3.amazonaws.com (s3.amazonaws.com)... 52.216.8.133\n","Connecting to s3.amazonaws.com (s3.amazonaws.com)|52.216.8.133|:443... connected.\n","HTTP request sent, awaiting response... 416 Requested Range Not Satisfiable\n","\n","    The file is already fully retrieved; nothing to do.\n","\n","Requirement already satisfied: nltk in /usr/local/lib/python3.6/dist-packages (3.2.5)\n","Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from nltk) (1.12.0)\n","Requirement already satisfied: gensim in /usr/local/lib/python3.6/dist-packages (3.6.0)\n","Requirement already satisfied: smart-open>=1.2.1 in /usr/local/lib/python3.6/dist-packages (from gensim) (1.8.4)\n","Requirement already satisfied: scipy>=0.18.1 in /usr/local/lib/python3.6/dist-packages (from gensim) (1.3.1)\n","Requirement already satisfied: numpy>=1.11.3 in /usr/local/lib/python3.6/dist-packages (from 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(41.2.0)\n","Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.6/dist-packages (from python-dateutil>=2.1->matplotlib) (1.12.0)\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"xUv_ypcZk18K","colab_type":"code","outputId":"f4d83449-de16-4ab9-9e69-e8973d2c08a9","executionInfo":{"status":"ok","timestamp":1568835402229,"user_tz":-180,"elapsed":24291,"user":{"displayName":"Sariel Gilat","photoUrl":"","userId":"01352438547208519443"}},"colab":{"base_uri":"https://localhost:8080/","height":51}},"source":["import pandas as pd\n","import numpy as np\n","import matplotlib.pyplot as plt\n","from sklearn.metrics import classification_report,confusion_matrix\n","from sklearn.preprocessing import MinMaxScaler\n","from sklearn.preprocessing import LabelBinarizer\n","\n","from nltk.stem.snowball import SnowballStemmer\n","import nltk\n","from nltk.corpus import stopwords\n","import re\n","import sys\n","import warnings\n","\n","from sklearn.model_selection import train_test_split\n","from nltk.tokenize import RegexpTokenizer\n","\n","from keras.preprocessing.text import Tokenizer\n","from keras.preprocessing.sequence import pad_sequences\n","\n","from keras.layers import Dense, Input, Flatten, Dropout,GlobalMaxPool1D,concatenate\n","from keras.layers import Conv1D, MaxPooling1D, Embedding\n","from keras.models import Model,Sequential\n","\n","import gensim\n","from gensim import models\n"],"execution_count":0,"outputs":[{"output_type":"stream","text":["[nltk_data] Downloading package stopwords to /root/nltk_data...\n","[nltk_data]   Package stopwords is already up-to-date!\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"fD-ILl_ykjKr","colab_type":"code","colab":{}},"source":["nltk.download('stopwords')\n","INPUT_URL = \"https://zencity.s3.us-east-2.amazonaws.com/311_Cases.csv\"\n","df = pd.read_csv(INPUT_URL)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"nENVbEoYjVAy","colab_type":"code","outputId":"65c15e90-2da3-427c-f383-cd4cd8e33ca9","executionInfo":{"status":"ok","timestamp":1568835413786,"user_tz":-180,"elapsed":35825,"user":{"displayName":"Sariel Gilat","photoUrl":"","userId":"01352438547208519443"}},"colab":{"base_uri":"https://localhost:8080/","height":615}},"source":["df.head()"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>CaseID</th>\n","      <th>Opened</th>\n","      <th>Closed</th>\n","      <th>Updated</th>\n","      <th>Status</th>\n","      <th>Status Notes</th>\n","      <th>Responsible Agency</th>\n","      <th>Category</th>\n","      <th>Request Type</th>\n","      <th>Request Details</th>\n","      <th>Address</th>\n","      <th>Street</th>\n","      <th>Supervisor District</th>\n","      <th>Neighborhood</th>\n","      <th>Police District</th>\n","      <th>Latitude</th>\n","      <th>Longitude</th>\n","      <th>Point</th>\n","      <th>Source</th>\n","      <th>Media URL</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>8446385</td>\n","      <td>12/31/2017 12:00:00 AM</td>\n","      <td>01/05/2018 11:11:00 AM</td>\n","      <td>01/05/2018 11:11:00 AM</td>\n","      <td>Closed</td>\n","      <td>Customer can follow up with Muni Customer Serv...</td>\n","      <td>MUNI Work Queue</td>\n","      <td>MUNI Feedback</td>\n","      <td>MUNI - Conduct_Discourteous_Insensitive_Inappr...</td>\n","      <td>306_General_Unprofessional_Conduct_Appearance</td>\n","      <td>Intersection of HAIGHT ST and MARKET ST</td>\n","      <td>HAIGHT ST</td>\n","      <td>5.0</td>\n","      <td>South of Market</td>\n","      <td>SOUTHERN</td>\n","      <td>37.773037</td>\n","      <td>-122.421944</td>\n","      <td>(37.77303696, -122.42194366)</td>\n","      <td>Phone</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>8446381</td>\n","      <td>12/30/2017 11:56:00 PM</td>\n","      <td>01/04/2018 12:52:00 PM</td>\n","      <td>01/04/2018 12:52:00 PM</td>\n","      <td>Closed</td>\n","      <td>Refer to Traffic Signal Shop complaint form 17...</td>\n","      <td>DPT Signal Queue</td>\n","      <td>Damaged Property</td>\n","      <td>Damaged Traffic_Signal</td>\n","      <td>Traffic_Signal</td>\n","      <td>Intersection of FRANKLIN ST and MARKET ST</td>\n","      <td>FRANKLIN ST</td>\n","      <td>6.0</td>\n","      <td>South of Market</td>\n","      <td>SOUTHERN</td>\n","      <td>37.774010</td>\n","      <td>-122.420700</td>\n","      <td>(37.7740097, -122.42070007)</td>\n","      <td>Phone</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>8446373</td>\n","      <td>12/30/2017 11:50:00 PM</td>\n","      <td>12/31/2017 12:00:00 AM</td>\n","      <td>12/31/2017 12:00:00 AM</td>\n","      <td>Closed</td>\n","      <td>Request is a duplicate and has been previously...</td>\n","      <td>DPW Ops Queue</td>\n","      <td>Encampments</td>\n","      <td>Encampment Reports</td>\n","      <td>Encampment Cleanup</td>\n","      <td>1301 CALIFORNIA ST, SAN FRANCISCO, CA, 94109</td>\n","      <td>CALIFORNIA ST</td>\n","      <td>3.0</td>\n","      <td>Nob Hill</td>\n","      <td>CENTRAL</td>\n","      <td>37.791095</td>\n","      <td>-122.415677</td>\n","      <td>(37.79109466, -122.41567697)</td>\n","      <td>Mobile/Open311</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>8446358</td>\n","      <td>12/30/2017 11:28:02 PM</td>\n","      <td>04/03/2019 11:45:44 AM</td>\n","      <td>04/03/2019 11:45:44 AM</td>\n","      <td>Closed</td>\n","      <td>If issue persists, please submit a new service...</td>\n","      <td>Entertainment Commission - G</td>\n","      <td>Noise Report</td>\n","      <td>entertainment</td>\n","      <td>Noise Report - entertainment</td>\n","      <td>5401 MISSION ST, SAN FRANCISCO, CA, 94112</td>\n","      <td>MISSION ST</td>\n","      <td>11.0</td>\n","      <td>Crocker Amazon</td>\n","      <td>INGLESIDE</td>\n","      <td>37.713647</td>\n","      <td>-122.443391</td>\n","      <td>(37.7136466, -122.4433905)</td>\n","      <td>Web</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>8446353</td>\n","      <td>12/30/2017 11:15:00 PM</td>\n","      <td>04/30/2018 12:00:00 AM</td>\n","      <td>04/30/2018 12:00:00 AM</td>\n","      <td>Closed</td>\n","      <td>NaN</td>\n","      <td>DPW Ops Queue</td>\n","      <td>Tree Maintenance</td>\n","      <td>Trees - Landscaping</td>\n","      <td>Other</td>\n","      <td>1382 47TH AVE, SAN FRANCISCO, CA, 94122</td>\n","      <td>47TH AVE</td>\n","      <td>4.0</td>\n","      <td>Outer Sunset</td>\n","      <td>TARAVAL</td>\n","      <td>37.760759</td>\n","      <td>-122.506970</td>\n","      <td>(37.76075945, -122.50696974)</td>\n","      <td>Mobile/Open311</td>\n","      <td>http://mobile311.sfgov.org/reports/8446353/photos</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["    CaseID  ...                                          Media URL\n","0  8446385  ...                                                NaN\n","1  8446381  ...                                                NaN\n","2  8446373  ...                                                NaN\n","3  8446358  ...                                                NaN\n","4  8446353  ...  http://mobile311.sfgov.org/reports/8446353/photos\n","\n","[5 rows x 20 columns]"]},"metadata":{"tags":[]},"execution_count":96}]},{"cell_type":"code","metadata":{"id":"hpbYiXDNlWkR","colab_type":"code","outputId":"4f38332c-f2b3-400e-8334-00d6adeab358","executionInfo":{"status":"ok","timestamp":1568835417558,"user_tz":-180,"elapsed":39581,"user":{"displayName":"Sariel Gilat","photoUrl":"","userId":"01352438547208519443"}},"colab":{"base_uri":"https://localhost:8080/","height":278}},"source":["df[df.columns.difference(['CaseID','Supervisor District','Latitude','Longitude'])].describe()\n"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Address</th>\n","      <th>Category</th>\n","      <th>Closed</th>\n","      <th>Media URL</th>\n","      <th>Neighborhood</th>\n","      <th>Opened</th>\n","      <th>Point</th>\n","      <th>Police District</th>\n","      <th>Request Details</th>\n","      <th>Request Type</th>\n","      <th>Responsible Agency</th>\n","      <th>Source</th>\n","      <th>Status</th>\n","      <th>Status Notes</th>\n","      <th>Street</th>\n","      <th>Updated</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>509274</td>\n","      <td>509275</td>\n","      <td>494518</td>\n","      <td>192311</td>\n","      <td>483200</td>\n","      <td>509275</td>\n","      <td>509275</td>\n","      <td>482974</td>\n","      <td>502071</td>\n","      <td>509275</td>\n","      <td>509275</td>\n","      <td>509275</td>\n","      <td>509275</td>\n","      <td>355253</td>\n","      <td>484248</td>\n","      <td>509275</td>\n","    </tr>\n","    <tr>\n","      <th>unique</th>\n","      <td>89047</td>\n","      <td>84</td>\n","      <td>409648</td>\n","      <td>192272</td>\n","      <td>117</td>\n","      <td>438505</td>\n","      <td>342874</td>\n","      <td>10</td>\n","      <td>18509</td>\n","      <td>429</td>\n","      <td>248</td>\n","      <td>7</td>\n","      <td>2</td>\n","      <td>113377</td>\n","      <td>2524</td>\n","      <td>423841</td>\n","    </tr>\n","    <tr>\n","      <th>top</th>\n","      <td>Not associated with a specific address</td>\n","      <td>Street and Sidewalk Cleaning</td>\n","      <td>11/14/2017 02:56:00 PM</td>\n","      <td>https://sf311.mediafunnel.com/#tabs/43/posts/m...</td>\n","      <td>Mission</td>\n","      <td>09/28/2017 08:43:00 AM</td>\n","      <td>(0.0, 0.0)</td>\n","      <td>MISSION</td>\n","      <td>Other Loose Garbage</td>\n","      <td>Bulky Items</td>\n","      <td>DPW Ops Queue</td>\n","      <td>Mobile/Open311</td>\n","      <td>Closed</td>\n","      <td>Pickup completed.</td>\n","      <td>MISSION ST</td>\n","      <td>11/14/2017 02:56:00 PM</td>\n","    </tr>\n","    <tr>\n","      <th>freq</th>\n","      <td>24992</td>\n","      <td>191946</td>\n","      <td>183</td>\n","      <td>12</td>\n","      <td>52825</td>\n","      <td>25</td>\n","      <td>24856</td>\n","      <td>92278</td>\n","      <td>58541</td>\n","      <td>83344</td>\n","      <td>206001</td>\n","      <td>243959</td>\n","      <td>494518</td>\n","      <td>63377</td>\n","      <td>12660</td>\n","      <td>183</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                                       Address  ...                 Updated\n","count                                   509274  ...                  509275\n","unique                                   89047  ...                  423841\n","top     Not associated with a specific address  ...  11/14/2017 02:56:00 PM\n","freq                                     24992  ...                     183\n","\n","[4 rows x 16 columns]"]},"metadata":{"tags":[]},"execution_count":97}]},{"cell_type":"markdown","metadata":{"id":"WJL4e3n5Q4CS","colab_type":"text"},"source":["### Checking if there is any repeat/update for a caseID"]},{"cell_type":"markdown","metadata":{"id":"OUh6v7wbWzdd","colab_type":"text"},"source":["### Every CaseID is unique. The number of unique cases is equal to the count of the categories"]},{"cell_type":"code","metadata":{"id":"KzINoh9RQSpo","colab_type":"code","outputId":"20d18f5b-973c-4eec-b908-9eaf6cb29ea9","executionInfo":{"status":"ok","timestamp":1568835417559,"user_tz":-180,"elapsed":39565,"user":{"displayName":"Sariel Gilat","photoUrl":"","userId":"01352438547208519443"}},"colab":{"base_uri":"https://localhost:8080/","height":51}},"source":["df[['CaseID']].nunique()"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["CaseID    509275\n","dtype: int64"]},"metadata":{"tags":[]},"execution_count":98}]},{"cell_type":"markdown","metadata":{"id":"L3CTPgV5T21a","colab_type":"text"},"source":["# Creating features and understanding the relationships within them"]},{"cell_type":"markdown","metadata":{"id":"r5A71ZLBVHhb","colab_type":"text"},"source":["### Displaying the different amounts of requests per district"]},{"cell_type":"code","metadata":{"id":"GxYY4mUxk5OA","colab_type":"code","outputId":"a58bc3c0-8d90-4fe6-b4f3-9382eb6e70bd","executionInfo":{"status":"ok","timestamp":1568835417560,"user_tz":-180,"elapsed":39551,"user":{"displayName":"Sariel Gilat","photoUrl":"","userId":"01352438547208519443"}},"colab":{"base_uri":"https://localhost:8080/","height":286}},"source":["df['Supervisor District'].hist(bins = 10)"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 0x7fb497dd7eb8>"]},"metadata":{"tags":[]},"execution_count":99},{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAYcAAAD8CAYAAACcjGjIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n5gB9qX0fMBfolTQduBR4p6Z+Vu06w9U/IiK6gC6A9vb2KJfLd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size 432x288 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"gukpYVNTfE-Y","colab_type":"text"},"source":["### Responsible Agency - will be our target vector.\n","We would like to check the number of agencies and see if all of them could be predicted/or if there is a bias in the data.\n","\n","The first Responsible Agency has 10 times more data than the second one - that means the accuracy will have some bias. Another reason is that some of the categories have 1 call. We can see it in the pie chart."]},{"cell_type":"code","metadata":{"id":"qSQEY2cIWGN-","colab_type":"code","outputId":"92be4e02-608c-4582-db08-feef2349d200","executionInfo":{"status":"ok","timestamp":1568835420138,"user_tz":-180,"elapsed":42104,"user":{"displayName":"Sariel Gilat","photoUrl":"","userId":"01352438547208519443"}},"colab":{"base_uri":"https://localhost:8080/","height":412}},"source":["f, ax = plt.subplots(figsize=(16, 5))\n","\n","df['Responsible Agency'].value_counts().plot(kind = 'pie', ax=ax)\n","df['Responsible Agency'].value_counts().head()"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["DPW Ops Queue                        206001\n","Recology_Abandoned                    85327\n","DPT Abandoned Vehicles Work Queue     30060\n","MUNI Work Queue                       16071\n","DPW BSM Queue                         12858\n","Name: Responsible Agency, dtype: int64"]},"metadata":{"tags":[]},"execution_count":100},{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAuwAAAElCAYAAAC/L7cdAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n48MUlzF70+HAu5IOwhhjzItZC7sxlebWHw0sxc0GOSxUKd4SnXrPR4sfOi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pc/61NwJgd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18XntAA3pGB/HKsHXMTWcp21uBbrVwFrVXWKiPw+PubBuFFMlotIPa6VvnwxsVFVDwIQkR5c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7zvX5DRB70vb5NRNImromuTZx2fUTkHffdWSciN3rfuW8LSieX3kusV/Ihw7gP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c/vbb/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\nGP8PiOpoShwMY5AAAAAASUVORK5CYII=\n","text/plain":["<Figure size 1152x360 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"qvH7iHUfXAsV","colab_type":"text"},"source":["### Another interesting feature is places with no specific neighborhood (null on Neighborhood column) - we can see that the distribution is different from the above. "]},{"cell_type":"code","metadata":{"id":"YBFDRuoRl4ht","colab_type":"code","outputId":"a68c96f1-0860-40b4-ab8b-a69619bc1de8","executionInfo":{"status":"ok","timestamp":1568835420901,"user_tz":-180,"elapsed":42856,"user":{"displayName":"Sariel Gilat","photoUrl":"","userId":"01352438547208519443"}},"colab":{"base_uri":"https://localhost:8080/","height":327}},"source":["f, ax = plt.subplots(figsize=(16, 5))\n","\n","df[df['Neighborhood'].isna()]['Responsible Agency'].value_counts().plot(kind = 'pie', ax=ax)"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 0x7fb6fddf7f98>"]},"metadata":{"tags":[]},"execution_count":101},{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAusAAAElCAYAAABd86xkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nom3vFpH3DYgtIyJ/FJF3Dlh+ILAC+FTV4k8Ch4vIQSJymoj8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uM47JO44Zoj5wEm461KM\nMcZMIhspMWOxAUjEHcRIZNuzKeAlcccxpYg0vGHR/FKfSG/coVRbWz5ua9wxzDD/HHcAxhgzE1my\nbsaiB7hTRC4SkW9UvuIOaggnA3VxBzHV5D1vydkL590adxzVLiyfsX/cMcwwr25btVbiDsIYY2Ya\nK4MxY3F59DWVvDjuAKaqdanUyd9rbrz+bbu6Tow7lpym7u/QhXbX0sm1F3AscFPcgRhjzExiyboZ\nNVVtF5EMsI+qPhB3PMP0T3EHMJV9dVbLESf29G04qFiMdVT7T+GxTwOWrE++f8aSdWOMmVRWBmNG\nTUTOBO4E/hQ9P0JEanakPdueXQAcFnccU5pI/RsXzS/HXb9+YenMfePsfwazunVjjJlklqybsViN\nOy2+E0BV7wRquY7YSmDGQd7zlrxl4fzY6td7NfngQ7pXW1z9z3D7t61aa9NlGmPMJLJk3YxFUVV3\nDVgWxhLJ8FgJzDi5L5U8+eLmpljmX78iXPFkHP2a/2N3MzXGmElkyboZi3Ui8gbAF5ElInIe8I+4\ng9qdbHtWgBfFHcd08o1ZzUc8kEhsmOx+Lyi9Yu/J7tM8S83fpdgYY6YTS9bNWLwPOATIAz8BOoF/\njzWiwR0JzI07iGklql/vFemZrC77NPHI/bpPLZdazQQ2sm6MMZPIknUzaqrao6ofVdVjVPXo6HFf\n3HENwkpgJkBUv377ZPX3t/DITZPVlxnUAW2r1i6MOwhjjJkpbOpGM2oi8jtAByzeBdwKXFRjibtd\nXDpB7k8lT/p2c9N15+7qPGmi+7qwdOaiie7DDMspwGVxB2GMMTOBjaybsdgAdAMXR1+dQBewNHpe\nE7Lt2QA4Ie44prPzZjUfdV8y8chE9pHX4NG79YAlE9mHGTYrhTHGmEliI+tmLE5Q1WOqnv9ORG5R\n1WNEZF1sUT3XAUAy7iCmNZG6Ny+cr9c+trkno1o3EV1cHR6+EdhvIto2I2YXmRpjzCSxkXUzFg0i\nsk/lSfS4IXpaiCek3To47gBmgrznHfjmCaxfv6D0ciuBqR2Htq1aOyEHZcYYY57NknUzFv8JXCci\nfxeRq4BrgQ+LSD3QHmtkz7Y87gBmigdSyZMubBn/+dcL6m+8Q5csHe92zagJcFDcQRhjzExgZTBm\n1FT1DyKyBFgWLXoAKKtqEfhafJE9hyXrk+j8luYjT+3pfWR5oXjAeLV5XZjtAPYdr/bMuFgO3BF3\nEMYYM93ZyLoZE1XNA3cDc4DzgVqcWs/KYCaTSN2bFi6gRyQ3Xk1eWDpz3ni1ZcbNsqE3McYYM1aW\nrJtRE5HjROQbwEbgt8A11NgHeHTn0pqKaSYoeHLAmxbNH5dR16L6m27W5XZ2pPbYz8QYYyaBJetm\nxETksyLyEPAZ3Kj6kcAWVW1X1R3xRvcc+wB2IVwMHkomT7qgpem6sbZzQ3jwhE4JaUbNDoKNMWYS\nWLJuRuMdwNPABcClqrqN597dx9hZAAAgAElEQVQcqVbY6F+MvtXSfNT6ZOLhsbRxUfnMOeMVjxlX\nS9tWrfXjDsIYY6Y7S9bNaCwEPg2cCTwiIpcCGRGpxQuWrV49TiJ1b164QEZbv15S74nrw0PsZ1ib\nksD+cQdhjDHTnSXrZsRUtayqf1LVt+JuOPQb4Hpgs4j8ON7onsNG1mNW8OSANy6af+do9r0lXPYw\niIx3TGbc2PSNxhgzwSxZN2OiqnlV/aWqngUsAf4Ud0wDWLJeAx5OJk88v6V5xPXrF5bPmDUR8Zhx\nsyDuAIwxZrqzZN2MG1XtVNVL4o5jgL3jDsA4F7Y0rViXTD403O3LKk9dHR5+6ETGZMbMricwxpgJ\nZsm6me5a4w7AREQyb1k038+JdA9n89t16YNWAlPzLFk3xpgJZsm6mbay7dkE0BB3HKZfQWT/Ny5a\ncNdwtr2otLJ5ouMxY2bJujHGTDBL1s2oiUidiHxcRC6Oni8RkTPijquK1TvXoEeSiRPPG6J+vayy\n5crwqOxkxWRGzZJ1Y4yZYJasm7H4PpAHjo+eb8ZN6VgrrASmRn27pWnFvXuoX79LD7hf8ez/U+2b\nG3cAxhgz3dmHoRmLA1T1C0ARQFV7gJqpMc7ktcUvazHuOMxuuPr1YLD69W+XzrDypanBRtaNMWaC\n1eJNbMzUURCRDNHdS0XkANxIe01o/0q5GUgo5BVyoUdP2aO35NNXCMjnExR7U5R7k4S5tIS5NHSn\n8boy4nVlCLozJLszpHJpSefSpHtS1PekaAi9mrz505RTFNnvDYsWXP/bzU+eWL08VNl2RXj0YXHF\nZUbEknVjjJlglnSYsfh/uHnV9xaRHwEnAmfHGtGzZQAEUgIpL6Q1CCFVgvrnHFLoII+fS6FPoTtK\n/vuKPn2FBIV8gmJvklJvSsJcGs2lke400pURP0r+E90ZUt0u+a/rTVLfm6I+9GTG3rJ9QzJx4jdm\nNV/7/h27Tq4su1fb1od4J+9pP1MzmkaysYjMBrYOsloZ+Zm5XqK/8z0Yqt0yEAI/Bc6qaq8EPA3U\nAy1DtA9QADqB2VFcZwMnAR8Anoq2m0//Ge1c1JfsJr7qmMvR4zKQGLDdFlWdJ+4OwXXAlujrQNwd\nZgcKq9q6GWhW1UMBROSTUZxLgHOj9jqBDly50+ei13YWkAL2i17LwNi7cWdbnwHeAnwBWMGzL/bf\nAvwoeo/qAD96zRq9xpDnnvm/B3dH6o1ADzAPeI2qXhPF/4Nou3+h/2e4DbhAVT8ebbMI+AZwHXBU\nFNOPVfUX1R2JSAPQDpxB/3teBrYDO6LX+Ffg7dHrbwKexP1uX6iqF1e1dRzweWAR0IUrF12lqusY\nBhF5N9CjqpeIyNnAFar6xHD2HUbb/4H7WRdx7/mVwH+rDv+MtIh0q2pD1fOzgaNV9b172Gc10K2q\nXxqwvA34feV30vSzZN2Mmqr+RURuB47D/cP6gKoO9kEch7qJaFQgLZD2Qqgk/88+nzAw2R8y+e9V\noTsUekq+S/6LAcW+BMW+FKWelIS5FNqdge4MXldG/O40ie4Mie60pLozpHMpMj0p6vtSNKjIlCpv\nu7i56Zjn53ofzBYKSwEuLq2ckJ+bmRhtq9Z6HWtWhsPc/ON7WDeaErryMLYZql3BJWRnAmlcIlaP\nS7gX7WZ/reo3qFr/FeDfo+dJ4MvAXtG6yhkIr6oNn/4DhUS0rvp5JWH3gcdxieXAi+bnikiB/oSy\nFfffaHeJukZ9aBT38YCKSJH+XCAfbVPpvyl6L3ZEr6f69VbafAKXOPu4A5CvAv+GS0xvYvcHS3Oj\n9wrc+x1Er/t63KBPGWjEJdV/AP4XyEbb3IY7kHo9cKWIPANcALwWd8D0NLATOBx4GHipiDwFbAD+\nO3rd/4xLULcC/3fX7SiJ/DDuQOa0qB8B7gD2xf1+tAEvBX4J7AIWRtvVAW/G/R5V2rsMeD7u4OEz\nuGu6/gL8UEQ+D5wMvBFoU9WdA94jRGSvqK+Do9hSwEMi8l7gNdH7ncb9vIvRz+AS4FOquscPHhG5\nMOr7yWjRp3F3JM9EbZkaIkP8PI15DhE5ak/rVfX2yYplT+5btvztwHfijmOyKfSokIuS/96iT76Q\noND3f2U/buS/O410Z/5v5D/RnSGZS0uqO026J+2S/94kDcjEz3WeUH302o2b5mZCLS7JX9pYxreB\nhKkj1bFmZWE4G4rIDvY8Sm1mruGcJRnKcM7ODBy1fwzYZ8D6ylmMbbizCZX40tHjd+HOGNQD/wBO\nwSW4JwOvAt4fxVKHO2hpitrU6PkW3JmJUtSPjzsg6sQd+Aju4GJR1P5VuIOVN0T79OIOINYB78Yd\n8HwPd7b718DvVPW8wd6A6DP8ZuBy4FvRPkncWZRe4IOq+vc97H8w8JPovVqqqvVV684mGlmPRsq/\nhztY3QKco6qPVY+si8iKaBuAK4CXTuTIuojsDxyrqj8dZH0WOA93EDbsg5+JZsm6GTERGfSPGFBV\nfcGkBbMH9y1bfi5wUdxxTGXqPlxyKuTKHj0lj3wpoC8fUMgnKfUmKeeqy34qI/8Zgq4Mye60pHJp\nMrk0db0p6vsS1A2W/O9XKP7jc48nw5WFz500yS/TjE1dx5qVvcPZUER6GHtCZsxE2YBLoodK+Hd3\nUKDAJp571+yB21ZKkQbuH+LOCNRHjzfhRvNL0fo07sxHBliGOwPwtmj9etyZhNfgSnX+RP+Zm4dw\no+fn4s40VM68VM7kdETbPgEchDuYfhCXwJ+NO6OTwpUXnYM7M9GKO7BYhfuMfRR3tuTRqnVrcGc7\nbsOdXdg3iv0w4D30J+t3A+9V1WtE5ItMfLJ+etTfK3ezrg64F3inql4pIvUM4+BnMliybqat+5Yt\nPxs3vaSpEeo+hHKhkAvdxb69Rd9d7PvE7Fk7rll2yE2P5VrY5ZXJaJGAgMADDSEUDx8PIY9HkYAk\npQCCsvhahjLiixcilMuCAEqI54sEAZ7nqY94xTKeEnoeKl5Syyoa+GVPCBVU8EFEtRwGSojvE4ag\neCKqIkkJvRISep544okEZfwgFMTT0PcEL1Q8jUbtVCX0VCVAVVQ0FFQFETy8kNBTRT1fRRDFQ7wy\niqhAtEwldLNXqhB6qOdBqCqKh4eiIqiAICIoqmU89QBV8BRU8RDUJ8oMQhX1o6Mlt16orKv+KBBR\nPM+9J26VK5+QsoCvoOKhIgJr5bhzOtasLDEMItKJK28wZroZ7jUX4YBtK6P8lTIWj/7R/wIuwV4e\nbV/AJdpb6R/x34VLyI/EJfgF3DUL9+CuPwBXLpMEmnFnBT4cbdODq81/S9R/XfQ9gbs2oFIOtm8U\nz8W4hPtluKS+N4r5R8DrcGcp7gSOwH32fh53xmA78GLgvqjPUhT386I4r8Rdj9AI1KnqviLyjqif\npuh1rMEdOLwh6vdlqrpTRJYA38SN3ueAd6jqgyLyQ9yZkWOABcB/quqvReTWqL1Hge+p6jcqPxgR\neRfwPFV9W9Wyg4C/qOo+IvJpYKuqfi1adz9wuqpuEpG34sq/krizIe+N3rOtqtoSbf+6aPt3iMh8\nXPnWPtHP+/2qeiODsFPNZtREJA38K+4iKgWuxV1c0xdrYP1qZmYa44j759XoK41+GRJlSCPlJxe9\n/Bramrr3ati8eIG/q1u8sEjo+R55yp6WQETCkqeJZEKKxTDwkl4+KBIU8iJeQsqBgJaRUCXA1xCh\n4IehKn5Cc+qXPPD80MsohUCkpHhoTpJaQlWUciLEwwsIpewJSKihiHqeeGHZQ0H8KG1VRcrqhb6E\nogJeKKGIlFGVMuJ5KL6UyyIiingF8TQk8D31Qs9z1/aFXiihIKpl/HIYeqiISjlUzwMPL1R8yqqh\nuuME9UPECxEPT73QQ0DwQ5HoU19BNETccQUenqDuGMYTCT1FFQWhpCKKREcViiiiGoZC2UNQCcvq\nEXoC+KqKehqqeAIaeoJfFpdIRMcKHV8cXqIeuQ84dtx/sYwZu0oCPZyku8Rz86fqfcrs/uJbcInZ\n7nKvykQDOVwiuyjabq+qmCrXIsyOnoe4pPmY6PEc+i/kXUr/WawU0Be182FgcbQ8jRtxr1zgW+lD\ncddHzMJdd1BJ1t9F/4FEGPVVAt6EG91/GHh1tP7TUbut9F9rkIna2xu4puq1nIAr5dkMnBzlFgCH\n0H8h8EPAf6jqkSJyXtTnN4Fv4xL0R0TkxGjZi6P95+GugcgCP8ONkq9ikJH1qL/bqheo6gMi0hJd\ndLxbInIorvzpBFUtici3cQcvPxtsH9yFzl9Q1RsrF9YCg55RsGTdjMUluPq7yumhNwCX4k7F1QJL\n1mvczqb97r8z+84+v/AXmXtQX9C7uac+aJ2TqN+WK+XTWhIv6aUKRXIp0XRfKiz6JS+pacq+kCmX\nQ1IZgZCgDJ4ElJIpT6UXKZSkoZDSIFmWrmSral0fYbGHUinlpfNKUqCcSGt3IiO+V9CSnxcpFigW\nE5IsKSkSEKJBEvKJtHT7SRUpEUpeSmE+9It5RFPilVRSYYmAQENN4IniBZBPZKTPS2hZQk1RkpAi\nBa8PtCxSlJBSwk+EqkG5RKCeJlAJ1Qs0UD/wSmHoJzWfSEneC7Qo4iW0GI2llzz1SuWiV/T9Qkk9\nVfVUREqBhhr4Uka8sKSBlvHwNC0iQZiQUDwt44knIqgXehKKJFz+X/aFkuf5JQko+wlUhDyelAQt\nqaioii9lPA09FA0Jw7IClDwvLI/0eoYpdfGzmVHKPPcC2sEMljtVEt6Q/uR7oOq/ger6+UoSH+CS\nzMq2T9M/69J63Ah0GZckd+MS9J24pP1pXAJejrY9IGqvjBuNrsNdIPsMboS7UkufwyWpR0Xbp6Pt\nQ9yBQyF6nAf+jkuGPwl8FJfc74he+yHA/bgzAZcC78CN0GdwZTY5VX2+iFSX46SiPj3cZBUB/dcQ\n/E1Vc0BO3D05fhctvwdYKiIt0T6/rKqurP7Z/CaqNb9bRBYzekP9TpyOO2C6NYojg7sofKh9DqqK\ne5aIZFR1tyWFlqybsThUVQ+uev53EVkfWzTPZcl6jSp7yZ57Dn3nLdtaDjwy3/ndR160+A3BlQt+\nk9jZ21M65dF9uLVte7DXM7PCznRXqZRKSUOxVC5kvERQ8LWUDkSKvSQlTVcyCBN9nVJXqpfeBsIS\nRdK5sqS0UUsNZX+Xnw6D4nYv1eVpQKP4yVC6WrywS5OS1p0S9HVJspDRjASe72cg0UdvQ4KtYZ3U\nlfvAzxEWO0n3BRJqMkxqSIPUuzqQRJ9XqE+GOc1QDpFGejX08pIT1XS+R+rySS1LQpSiJMOABq8+\nDBHBKwdeooB6nub8ZulVX0MVyWiRhBS0T8Kgzy9popDXdCGUFAmBQCkrEHqCSAN1vuCFISEhKgm/\npF4QSiEZSN6vD/OhUFbRUD0vIXlNU1Cfgp8XyIv6oYZhsgR+GEIxEPWSQEEp54GypPFCj4Tve74C\nGqKohCJSxPPVxw+15CW8UhCMtI7ywHH/ZTJmfIxHPlTJvPY0Ha+3m8eVGXrAJa/VsxztX/W4MuIc\n4MpVKqUwlaS7uWrbVNR+5aLuyoHIM9H32fQfoPjAqcCtuJKRRdH+dbiDg0pMdcALonYXVr3eEm60\nPEl/sn92tK6N/ik5rxaRQ6piPCFatyhqLwcUojKWU3j2Z3hY9bxyYCO4MpMj2L3q/YdzELaeAWf+\nRGQpsFlVu0WkxLN/fpWfh+BKaj4+YN+BZ1fS1atxF7oO6+J8G+UwY3F7NIcsACLyPNwfe62wZL0G\nPT13xW3XnPTFrdtmLTkm3/ndRw5uOqLnwcz2cGtzXWIuXrBj5/bknFmLEzvSDycX7mrJ7GhWv6Fb\nk/n6jE+hN2gqeH5vc73fp3lvfq43kc/MCzrrezwvFyaa8wSF+ha/q747KPUVvVmdpSCjTV6xvino\nS/d5veUi9V1hMKe3x/fDRs9Ltki+Ga+Y6vPy5ETznpfZibcwvxPfR/rCuSQSTV53k4cmuyRMlP1c\n2ImUSz65Bhp2hd7iwjZvVtDndwYt/k5d7KX82X5vS7O/o7XsF+u6vWJSvVyi4O1il18o5T3tS4js\nrJf0LvEXd+2QheUur17K0kuDdOs8Lyi3+o1hg4R1mSDXLF4+0+Np0OWFybxXDMpaoNfvCbukXO71\n/ILnJ/IJP+hO+8nOhNfam2efvmf8+ewMmhKFIJUWv5Rs9nclFgedib2knJonyXSrSH1TkGtN+Ttb\nA6+3ueSVM11emMj5xVQhKCXVywdh0Eufnyt3+T3FrqDYV0xIzvf8zno/2FHvJ55pCBqe8r05W4vD\nnbKxwj5zzHQy8GB1W/TdG7BNdfK9u+mNi7jktjLX/Gb6a9sHJv6V5ZU5+iv9+bhRdh+XyB6KS+IX\n42rBZ0f7LcAl73dF21amLt2IG9H2oq+5UR8B7oLRW6LYe3FJ+dtxSfyHceUyd+IOFvzo9XwMuBs4\nGngk6udMXB36JmBttOwBXPlsRlXnAC/czfuzW6q6A3hSRF4FLjkWkcOH2K2Lwa+buRR4vog8P2qv\nDvg6bpYdcBfjrojWHUv/xcR/Bf5FROZE62aLyD6qGgI7RGRJlLi/qqqvv+Jq3In2GeyAA7CRdTMK\nInIP/UfK/xCRx6Ln++JOgdWKYR2xmslRSDRuveOIDzyYq194gmqxJ7/rOw9kPH/RIbNOSl5W94cN\nTyUW6PG920sFf2t5//X7F3+54viw7o61HLL+FO++Yyi13vegzkkeEN63sCgtGzazd3GePLTf/LDE\nw17mcWFBuaybFiykL7MDb0eBVC7Q5iDPU4l5Ukr3oIXe0C8EUteTojFZoCc9i3KAlr2cSD5Uvxx6\nQb6ehkSOrmRaemjVVKrXzwU5zXT3oqWEL/mSNhebvHRYknTDNrbVtcpWf4H0BImwSbZJLpmTrny3\nJrr6NF2s98p5n0zeY1YYaCApz0uWCdOd9KUbpDs5Rx9PNEpOPGmQTk17XfQEeZ4MuyWV6wvSOVWv\nVOeHhYwW8mXqSsrs0NO01IvnK6EnYZgqeCSgN1kvPUGzPh2kpdtL4ZGXeukmJb1S9nOUgoLkwj4K\nfX2a6CuIHyY1HaY8CkkNix5aUkmVhDoC6gg8XyQUkJIEXjlASZRIpPp8gqBc8NPSm0zTmUxJr5ca\n6QHxVkZ4IyVjqozmxlkjba9SmjLYjC+VCzCrZ3RR3OfNOtz0jZU57fvorwEHNwJdGQ0v4BLVbNTO\niVXb7B0tewpX810Zoa2eqSbEXSS5F24e+v/GXRBajLZP4i74fAVuEK0SS4hLvM+N4v0HboaXhdE2\nG3GJ5Nn016D/CXdR5ndw8+3fjZv28cW48o+nozaKuCkhn4zizqjq7SLyBeCtuItEv4ibdSYdxdYE\nLIjyisqsNKczfK8DLoimg0wCP8QdiAzmDsAXkbuA71ZfYKqqORF5BXCeiFyEO9BZraqXRZv8HHiT\niNwL3IibPQhVvUdEPgH8NUrKi7gpNR/D/Vz+jDujcRvuAAdcon6BiJyDy8X/TlXyPpDNBmNGTET2\n3dN6Vd04WbHsyX3Llj8P9wdlYtaxz0uu37DfGcsRaa0k6mjvkWfs9e6bnk71JR468Mc9P257ZfnM\nq64qJh69sZiS12nquK3FPxYW6vPu/6PO6ns+G55HsW/7gyx7qCnsXTJPH5jVIwse6tBFnXuR379e\n1rXUa6J7vSzugNnhPO1bXMeDTU2o96A0bCqF83Z6Uh/M0sK8JBsamyUVPKlh9xOa2t7izen2NBPU\na7kZeaxlgajXq+XgKfzOHWHQ3Ui62/fmaRpNhZQbPX2iYb7X5Xva5G2RXcEuUjt3aKq3HnJJmvMh\nrWSk5Cegrgz1Pk80ztFtfsYrUQ5bZaf0+DulR7u0sbNHkrlAJd8kqb6SZAoFbfHSpMjQ42WUQLy6\ndCEs1iPbGpvZmUpLJwHdpDQjvdKkuyhpp/YEPV4p7NNMd1FT3aF4hXoSpRTJQkkThQJJLdFISlJe\ng5QkExYlIYJHKlXSRLIovfWedqYb6U6npBtPe/HpDQNJe4WwkR5Jk6PPy0mP16d9XkGkUNB0X4lk\nb9j1qdW/OXe4vwciYh84U8N4J8VjabN6v8psKHuyu7ufwu4vCq2MZA/cvjIneqXcZAuuVAPcqHAD\nbnS6uq/qOHfhRpkHvuZKol/df6U/L4oxWbVfZX31ha/VM8VUDhpOB87HJfk9uLPKrcArcWUsX8Yd\nGOwdxV65K+49wC9U9dMikgF+i0tQb8KNgOei/hfhDgxK0Wv4LvDBqI050fdL6Z8h5kT6L2LdjLuY\ntAU3S8w6XE3+R1T1OhF5EfBZ+n+u/6Oqa6kBIvLPuPn0T1PVoWrQJ5SNrJvR2KGqnSLSGncgQ+iJ\nO4CZLpeZv/H2Iz+4rZhsPBHAJeoXP4j2Hbm06egb6hPNx9+UuPfmZfMe9Z5kUXJb2Ehh33K47OFG\nb/bDc5l36oby9tz+mr7/etpuOMHvPrqteM2xKkfefRvHPHKsPrHiYLmJnnDfh+/0Dn9wb83MPZB1\nRyV0Q7FL6p+5X5as97Su1IY/L+GtO7LJy4XdqvkNOv9R0dm94tXJEvFmq244uF52SSC+97AG2zdq\n49ZmmdVToM5b7JNKeX2LRe9rbEa0qPiPC7nbpeHpOhK5QA4qlrXO20cKyaQkmwtsnjWL2xN1BBRJ\n8TQ7va3auGujNO3MkO7LeKm+HtlX02HgzfWKXkbTqaIwqyjP7N2gW1IZHqROyqFKs25BvG3a5fV4\nXq4gDTseoy4XsKiQ0mQplEQ5LylNayCzxZeFiAQQeCJNfWhjXrrrAnZkUrItUUdOM9KpScJynkbd\n7jWFXZS8nPRIgXy5RKqrTP2uvDQ8GYaNpaQ3J0xpohTia9GXMAStJ5BGScl8ApKKeIL4aLpUC6Vm\ngyVnZvLtKSHf3fLhJPDV63eXs1RuYlQpBRn4u1BJeKvv0prCJZ4P4GZNqZ4uUXHlLFfh5hZP4BLf\nat8APoIr71iCG2W+E3eHXh+XeHbiykgSuJHm2VHfAW5U++u4KQ23RzE8iRt9XRJ9X4xLrK/GJdxX\n4u68WklqQ1xJxwpVfVhEfhr1WcKNwL8KV4N9CPDZ3dRTvxJ3190fi8hn6b8jahF4RFUXRNslcNM7\nFlX1rVVNfItxoKp/wd3Vteao6i9xd6qNnSXrZjR+DJyBO6Uz8J+t8uwLYuL0VNwBzFSheKX7l77x\n+qcWPO9YojMxVYn6ESmvbusRrS9Yukt6Hs/Re2Qm09nVSfOu7WHjMz17hXrSbY+zM1MXHrWhLOcv\nfQlv976qcsvtmrn1cP8Fy8lfftzpHPnQb3Xe9UvZZ/7+3HX4sbKxu0vaHr1KF1+znxxWdwjdy8ty\nZdsi5nVtpHXT3dp2axOZ4n7InENk20E5bkjNldmFh7W0/Rlvv/tU5+RTzGJ/rzSrTbvburivfoH6\npW0Cj2n6yU7mb8pIfSH0UrooTPqHe+HcPt22FNanZnth2KsZ3Uhfaac2P/G4LOqupz7fJ3U0aSD7\n4gVJmJfzti/0dXNdE/dpvdcQbtGkPuN1el2a3p6XlsfKzM5nZFFRNSiVNSHzSMtc8bwUpfoSXmuO\n3OyQZ+ob5cmgiR3ltFco94VzdIvUhdvo9nolVyrRuKNP5mztCuvySRq0TlpLHqGWKZaSpL1Wmmnx\nApmtxcQC8inQxrwk6nZpaXZed+5V5+1MN7ElqKOzHMiusk+hXKY57GR22ElGd0kPJe3WIoWwRKan\nWHjdMH8nRGT20FuNykxI1Mfj7p7VhkqSR3NToOGMeu+pn0ptdzBgWWW73Y2AQ3+NdUU3LskNq9ZX\n2wnMj/pZQn9NeCWhTkffnxctL+Auqrw+im8Brk77F8DLo/1fhSsJyeMuwszgpim9A1fbPYv+CyIF\n+C/6R6V3RH18HTcdYU8UcyduhP5vuBHp19I/+n4L7uZBu6pqnTuAF+FGxefTX099LPAqETkjmvZw\nNlCvqr8BfiMia6LXlFXVPhFpBP6z8mapahE305uJkZXBmGnrvmXLhf46PTNJdjQvWX/XYe/xQz91\nUGVZdaIO8LK93nlDY6L1+D8m7ri6u3X9nEMPv3LZm/Wy0guu/MvDyxZesPXknyxO3HXgP5WOXHBA\ncd0JPyt/Z+Nb9M3F/9G9/p6V7a0H6Nz9mwu/PkTCBY/eFx7wwBM0Fk7Q4EDlb0vqJLVli+6z+Tqp\nf3K5zk0so7R3jvuWiNybn8X+netZ/Nh6re/cJ6zL7yVe6yLK+z7OLfMWs723KC35Dm15okP33pYm\nX2iRReG+9LU0waLNbJg7Wx8KMywuPkauvJXZm3cwf2cKv5hCyq3M9hZrd1Mg3vyneKK1STuCVikW\nu3ReeZPs1P/P3nfHZ1JV/X/PzDw9vbdtyZZka5atbGfpSFFABEEEgaWIIOCrgq8iTV4VFREBBQQU\nBemC9LaV7dmazW6y2SSb3vPk6WXm/P64d3hmH5JlF/QHYs7nk0/yzNx759z7TGa+59zvOWcQGe0B\nzhlQ4I45YcSYnVSopCMLYbcNyBnkSHqAWlJzqENNNwZiOhXobeRAH/dwGO6+EAq6fJQSdcFhuDge\nB3TdjSzKgYfSEHY4EPEY0NL7FSNlkHs96ehxZ6Kb7eiNq+B4lAr0PsowvOznKHsRJWfAh9w+H7IG\nQ+wynGTjFBiGC+G4irhOcCMVmUhjD6Uh6rAj6FApamOonkHWXF5FdQc4pLmqL77ut7cOfzckhIiW\nQ3gHR+Sj8q+ineg4fCYSUz4JsLbKUMaDOQcr1SP5Oibn++OubQXpw1FNnoDwfCfrMVxgJiC82ANI\ncL/NsXUIsJ4jdVel7l1yfJNrbhoSbRBBik/K9pfJ43+AoJ6kyvGcEMA5CkEHmSCvexxEIaF8JKgv\nPohgzM2yXyuE4ysKwcHeCZGxxQlBKXFJvc0sMHaIXN2LIGJD/ACOkwV7VkDkH98Lyadm5s0ygLIZ\nwFhm9g2xXiPyOZERz8JWPl8AACAASURBVPqIfGKRBQi2y6CMiyBytN7LzAc/Y9UAABV7a7imvKId\nIvB1RP7NElcd/p3TrqoaSJ+wCCLIBsBHgXpZauWGVFvWsTHowValb0Z5Ye2OThS0gpEzwCnOimjU\n2ZPaH3baJqf6B/b5lZqpKJ9dh63rvoWW5Y/oS99yqc2sK18Nj4lunJtprLOV84yuv3FW9WKc2F7K\n4UlEL8/+Gpc0H1T8vX9H2oEpKK8fh8l5BsLlLry14CukdytKme8DGtf8nhHfPRVzwwrsWWNhFKXh\nwOS5yuuciwJfF/ZEDqD0YANn1udyRrWXzkIJxdNLKZ7tYn9pEe9w5aE/ZND4aBOq4tU8uqUNeU1O\npO3PUadE2o1iZZQSSitHPH0AyOnFgQkFvAMe4kjQGBVvQR/qyN3rxaiOQfK0Z6Eg3s0ZUbuSR4Xk\ntOUYvpQiUjJ6gPR+dEyfQvXODG6LaaoWCxmj9Q406f3oQwfS+vtR1D2gpLY42I50csQHOTveSmOM\nNM6hHIXsKUbQlYuIMxO21B6ypfZjMCOTuoqy+IDNpfTENQzGbaTFYijQ+5AV9XHEiCBA7WTE91Km\n14+cwQCnB6Ls8HkojGwK6+mIIXg0L/h/WwlxHDlI/TyIFYhiiL+H65MMXK3nBiC8t0e6Bua7vxMC\nMAIJegggdiULhriOHwKIxvHRNbdyrJOBO1naWDnZVrHOzazWGYfwVFvbhCECKb+JQ4UhvNFuy9gB\nAH8H8C153gNgLQTFJARBvzgHglM9TvbpggDaM5AIzoxBAHQNYr3+CBF4eZlcBzOv+unyfJSZJxDR\ndwH8RuplTeP3plyXNghP+niIdb1Onu+U50Oy3xtyHssB1EIYFQ6IXe5xAL7EzC8R0VMAqiAA++PM\n3CLHewNAGzNPT1qz8QAOjgD1z7+MgPUR+TTyIIAZMlXSTRCR4n+BsP4/L9KKEbD+b5f2/Hmb9066\nsIgVdYn1OHM0EPE+UmcCdbvi7J+VfWIpAOzQGreCsDgzqy1rE+Z1QecUH9yu8kgs629l1F3Z1TJY\nZ6u1zfOe6Ujvvz/wk+k/st2ybVPkheWbta++u4Tr0aAs/mBKbO+sDcZz6T/kr6Q9aMT37CNt80K+\n4KBqdE+L0UvFV/L09N2UFfgH0uvL2dk2lr6a6+BocQdVl43B30tOUie2tyIvvg5jmt42QvvmUvGu\ndFycpSCcZUN4XDZWLZhGPT4PTRys5/2RKkxqbmOtuYzidVl0HDlJycjjUGohqcUqV8+ciK16Ojxh\nPxUH25R9ehXGtLYjp8uFYPtYZEUaMYUKSE3JVXzuMtiy2yiYl4N943O5MeZS1GjEKI20otboJDVQ\nrYxp60F6m4u5JZ+0eAgVsW5aphbBcKdTwD0OlNJN9sxe7i0spMbxmdhhONAfsVNevA9F0V4c1IOK\nH/sobbBPKerxUsYgc3QgF4N6DkX1OKdHB2kcMtnjyCbDpXLIoVHMlsZqSpzsaTHEPS7udBdw66gU\nZTc5aDDm4EDUQfZolHLjg5xmhAaO4jaZ8PFNPrH8pwB14JN50JNL05sSg3iPZxzhOCbANsexprBz\nWP42i/JYQTVZ2qfio2kLzbGtuMJj+dsLkfnDmkXFCvi9ch4kj9uR8MCbBXTUpDGDSIB5Uz8zeNKA\n8D5fIs/HpM6nyXFUCNqIqctW+TkCEVBJSFBJBiCydUyDAONNEDxyBSLjx24IGkxA/qQQUSaEZzwG\nYXiYPPknILJ++CEMooCcRwiCB/8NCI/9wxDUG4IwDv4PwCvMfL1l/qbT7PsAXgJwKYArANwD4DdE\n9H2I4NgARFYSaz8Ngpcfsxy7FMD1kFVF/38FVcriRl9n5gfk5yIA9zHzuf8/rv+fICNgfUQ+jcSZ\nmWWqo/uZ+VEiuuxje/3/ldbPWoEvskTs6V1Vld+tD7nzjk0+lwzUAeC4wq/vIVIWAsAu9WCBpkW8\nqhqbXI/xa0nn8CC73aWxWFrVeLKftn2tt2PS4jACfaHOvUvtVy74g/bjvGvjL/Zdrdy/cK167vqT\nY3t5jzJ98/yYu+Jd48+TrlZOMt4ztMFnyF53kpLiLcJlRUGjcVqU/hG7iY93rVNssVcR2TeOtI5y\nfWbDKJqcPYjQhFa8m3MCvZk1Sj2lZw330WouOfA2hxoWwVXnwpezPBxKDUIbHaVNJdPx6phTFXdv\nDBOCO3AwtorLm/sp2DGDbI0ZPEWJY3aGHQG3g235LqUzfxy2jZrLncFUHhPopqxQi9Kgb+RxHV2U\n7k1FX99EULWNKnmAF6R6EHG5lKg7l5y5zB0FOVRTmoG2mAe2UBSl4Q7EdS92xTZxSWcvFXjjxIMl\n6G/OAaL9NNWI8rGuQsVwOxGyp8HwxMmZZSCQ5kRj3kTaXe5Bb9RF0bCCkmgv8iO9FOQAqqmePL4t\nKOrzIcsfg6Hnkb+nGHHDCVuUlfS4j4scNjhdHjYcdoRtUY5qEaieCDRHtDf5ez+MTBni2Kehf4SR\noCx8XuSTBrs2QhSPsYp1bUwPdfJ69UPkw34NAoQi6Xxy++TqmdbMJNY+piR/NyY4jkGAWmsJdnPs\nPgjQnEx1SbWMZ+pFEJSNHAjwahodZnn6ObKNaUiYxslbEBlQ3EisuQHhBZ8CAejN9IFmUSCz4uf/\nQdBnHoTIahKAqPQZkcf3yfEHICgicYiy8TshALk5h355/QgE9UWH2N0IyXUpRMLAeA2ChlIF4cmf\nLcfph6C/mLz1EwHcC8DPzI0AimWaQA2CQ786aU3BzOuIaCwRLQOgMvNueep8ACAiVa7lzUQ0hZl/\nIs+fKOc6l4hSmdnHzI8BeExe8//n/1UGgGsgg1aZuQ3ACFC3yAhYH5FPIz4iuhkiKGaJzC861MP/\ns5QRsP5vEAb4wLgz1jaNPnk6iIYD6vutQH1MypTNGfbchQDQpHRv18moLMxrWE+EYxtRCsQ54ocr\nz8OstWchlNFf41JtK5RtvY/1z0/5WrC2bfPAmMldylWrbrXf5/oenp38Ji2rPSe6g6odlfF5sUvK\nNvD7x0zUIztnsHP+Q8jcnI9A/XE0sa+crxrVQHun2PBK7604T/knRdTXtPjOfDh657O9sxTnZaTC\nX7Id+yugrMQKGC6VvuJ7hbuUfYZe54DRv5iVRhcWZOZjnicGFLdR8yg7b3SfSWsLcmlmfwMy9W1s\nC33Ao5rjCPpmk6spjdLtbnw5LY3Drgj0LIaRr2F75mx6f2wugj4HJvtakBo7gCajGqXtfeQcTGff\nwFQEGxxKqhHF8WkOKE6Ng44YKNNFanYI+/MmG3tLM5XV4TTWgjEeH+xUnHon13Ed5fRvQHGPD6o3\njwL942ig0QlHRKcJthhXepxgp0YhW5jZRWTPUllP09DoGY+G0RlYF/fAG3GRPRzjUeFe5Eb6KEY9\nHKJ+xRXajvx+P7K8ETICeQhzMfTOLCI9ejRB3Ckf3+SoxIlDgeW/I93g0conDXYdO8Qx61zM56oZ\ngGlyxrNku3kQoDKMxDqbYJiTPn+crialwyrmGKYX24aPPusjEN+JWRjncGLdKcixjG3qa0NSJUkk\nUikSgJMtx2JIVOushKB8nIkErScHCayjQOT4ngBBjTE93n1yzBOl7ibNx4zHuFRe1wxm/bX8XSf1\nNvU4XfY5FSJFoZnzvAIChBuyfYo8bq7h23L830B8r38CAJk7PFuOVwzgG7IYz1wAd0MYD3Gp/98A\n3JG80Mysy3VJlgvk9e4B8HciOlsGmM6DMF5eIyI/RJGiIICfAzhFzuFhZv4dER0v+2sQXPurmTlC\nRI0AZjNzDxHNBnAPMy+T8xkNseMwGoI2ex+EAVVGRNvlWvwewD+ZeSoRXQLxfbqlXi8y8/fl+lwG\nsWMwAMHrjzDztUPM9T9eRsD6iHwa+RpElPhlzNxBRKMhCh58nqTts1bgiyZ+T1FDVeV3B+M2z+Kh\nzluA+oeV5GxkH5ybc1qJ+XmDVhcGgPz8+jgAdKLQA51jOlSNGWEPc6fPbYTdkf7YAFJiqRHWOg8c\n67qh8Bfu786+33h449WR40oeiu/te14p815ibMde24zaiYYR6lEOzmw0Hjvwf8bNlT9HY//fkF57\nKvsDHlrYPYPHj1tlbJpVTGsPfhmXT34aHY4XKG9bJnjgeAS7HZjbMBbjswcQLt1Ma8pn0pbOi2mW\nUoOF+pvUx22s12Ya9v5FiLWqPDp9EpW5bRTKaUF41AFsyJqO2tDpSizbQSf51hltth2UMdDBkRYP\n6d7Z7DqYQrojixalFvACp45gio8dhV6loSDLaHRNR9XoLLL3GzQrsI80o4Ej6MC49gGoA9kIDU4l\ne0sKk25DaWqGOsOVibA9TCFXBI4cHaFMFXtTp2JPaQ7WhFJZ9RsYH2xHXqwFPuqEPbyDRnUNwjPo\nYD8mQNfzyV7HrBg2ZZQ7lcvdmQrZYARtAYq7IuTIDLKSFkSLJ5MaXKV0UE3HzrAbvqCbMsN+HhPu\npoJYB6IItHz0DhhWDkB4Sq1izR/9ScSaPWQoj/JwYx9pdpV/lQFgHSeZs94L4ZE9HNA3+5ttTN27\nITy4JuAdzlNuAlqrdEN45ZNlKKCdnKWlDYm846Y0QaQgNKtiJusQgPCuW4NOAxDpD6cDeArAtRj6\ne4xBGCImDcc6hnXdYhCAGxAGUASH5ld3QKQo1CF43Wb5+EqLjmlIVO0sgFhTM5BTk78jEKB1IhK5\nyHsBXA4BGo+HyMdOECB7plyXEEQqwJ0Q+burIL6DmwDsYOaxRPQ6EgWSTHkd4n37vtR/MwRFJ0Pu\nbk+U130KRyBE5ITYmbgSwhi4DMBuCc7LIYyF70IYXyGIVJNjAVQyc5yIsuQYjwM4nplriejPAK6G\nMEoOJ+UQAbapAPYR0YMAfghgKjNXSv3GJvWphFjDiOzzO4jv4ccQsXI+iKw5hyuG9B8tI2B9RD6x\nMHMHhIfB/HwQwJ8/O42GlKMBEyNyGDFIje4pv3h9V96s+SAaN1SboYA6ACwrPH+HQspiAPBRqM1H\noTkAkJLSXwYAg0jNpbg+CAAM8ufHdW9tsRLP79ys+ouPzarqfZsWOU/SdxzY4z9nwvP68yVn6Ge2\nrecN8/Zh9CuPI9/+HdoxWKtMbirQtMj42NWz/kS3Zd+qfrP6+diupf+kye8XoSV2ppI6mKuc2FZs\nzJ74DL09Zxaq687HdeVPoDblWcqrSuGB5pO4r09BWcc8nJGRSseVvIm2KUH8XfuG0nKgABeNf00t\ncK7kgcCgwbW57O5bjECHhtSmKTjLnUIDaT6iUR/w3hKnssf+ZTrQXsKTM5pobngdWtybjdyOQUTb\ncsg2MBta3KMEGlMx3lOgTnaqGHSFWMnroGBBL+9Kq0ADluPd3GyM9vUq84I70K/sQpS6uaQ1QP7+\nHCPGU8kVy0J0f4xUVzHPd+dggQMUsIegpwbZlt1HPdkK96RUUgPlGB8EUwmDhPJQK4+ONCCodCpR\n9KG4Z5D0Hp3DgbGIUik5om7EYnGK21I5151PZY40gk03graoGnMG2ZYxQGp6J3o9uv5K0eKj2blK\nBuri6/50YHgoYGkNhBxu7CNNgzhc/+H0Ho4GM1wwKSPhHQeGLtxjleSxTbBtlrMfaj0UfBSoAwmA\nP5yE5W/nEDolA3VAeKxNGWp9zBzmVnqM29LvgqS+VnrLUJ584FADxoDwND8DAZAjEF725Zb2QYhA\nzQokvM0qhKFRCnFfMAR/XofI2DIHYv0i8ng2EkG5kPNpkccXQnyfdggvMCDA7j4IgD5Ojvclqe9T\nzPwwEa2G4KsDwuF1HRLyK2ZuJCIAeJWZb5N8860AHiWif8rrPcfMw8aQEJEdwkA4HYImpEPcP88A\nuAUCjE8G8BAzXyO7RWXfE+TxOAAwc5+MVWtg5lrZ1uTifxxYf5WZIwAiRNSFQ9dyOHmXmb1Slz0Q\ncWg5AFYxc588/iyE8fSFlBGwPiKfWIjobIitsTxYtlyZ+fNUTnzvZ63AF0F6Myt27pp6pcdQbcMG\nDw8H1Evck6qyHIUfeuHXa7V1IBR5PH31RFymQ4nr0IoVPd4HADqU0LhYLL51vNP9rXc/KGkce1pB\nl/+lg4viKf5VbVMcp459Unl14unGje3f1td3XM0Xnm3DLX+6LxYb90N9j3+7Pr413RWMnxa+Zfqv\njfvnr9DytlSicslvUNP8KB9z4EQcjBpU7luIU3NjvLziCTw7/jTqqPkmvj/hj1Sd/jyyq5zkbz3R\n6BpM49zuQmV2Qwnys9oIpS9h/aSZeLrvp5TS6FdWTHyeAmkvG319uqHU5RP1LYHXobG7rRQL3dk0\nOQWIFa6Bd3Qrbc6YgX3esxW/5lLPTF9j5NJO7na2I6cphu7OIjiNWcxwq8EWQq57Op/idMPrYo6l\nNxHl1+BAiZtr3cu5xZdHg6kpNCtQp1aGd6DTUYOY0Ue5rTGjqy8bxuAUOOKFZHCU/I405LjLUGp3\nImSPKX5ngNTMHlBmEw4WOdDlnssdRhavLUon8hIqws0oj9RigBrhs/VxjtcHrStGnb5sjqBMsceL\nYYsDIYoR27OR6s7xvvzINUbyfTCUyKwYQ9Vf+KSFckwx0wAm90kdujl6IUDVpzUSkuklGOLvjwPe\nkGNEkDAehmtvHdfqVTbbq0jkKR+KwmL2Hy6tYS8EyDSLCyk4lGaUvF6NEGXutSHODae/O6ltTOrT\nC+HBjifN0UpdAQS3PUt+jiERKGsaAQSR6cUUM6PLGojsNmYOc0AkQmiQxzYjAfIaIAwRHYlCSAYE\nh30ShLc9EyJbSz8SGXO+D+BOqcejAGzM/EMAIKJ7ILjwZ8nrXg+RU/10Zn5Y9i+D4Ip7IXK4a5Jr\nPqRI7/ZcCA/+PZBeb2sbInoTAghvYebLIaqEpsp5PAPhWa9DIr/8cvzrapOYOxaAuI+sYi2klrxj\nM5x8kj5fKPmvm/CI/EvlFwDOYOaaz1qRw8geHNlLc0SGkLjqHNw+/ds7BtPGLYJ07QwlzFF/xPtI\nfTJQ18jmPzbvDDOzBHQYkYNKzxQAKCysawFQ1o6iFhCNpbgRB4A41FB5NKo+WeYa63ytP1fRo7WK\nrax9z8B6bbE2xbNpz1LtR9Nvc90y9xfKmWvvwmut18dP/1YBfnf/L/y7Z/wkvD+0MVLSFkzLM74R\numb8k8ZrCxbHf7jzt/zb7Dvxytg3cMrruVqz/nXWfQe43Hcuzs7by/HJr9HvcCnHq4Gbyx7C1qyX\n1bTtdhS3Leb9YSdrPYM0qevLcKTGaP6oZzAwNYq/2U6juqaraV5wh3rRlH+gPv1pBFps8ZIDBdTb\nv5T6XRrsnWmY6J6AYo/NGMyqJS7ewXsmjMJr9DW1oa0E4+KtOCvzPer1rI31oZ+yDijs7RmlRHkW\nx1Q3+e0hyjkwmee50pWpTsXweXwq8rbogZIepSatVD+ApUpbT77hdEbV5YVbeWy8hrrcOzgaH6SM\nFhgDPZmKjytg10cjTgZ8thiluidzpT2Vp9uh+h1khN09mpLZrMdz29HgyUaTexF3RzOpy5sJpQA0\nLdTA08P7eFDZqQw4+gxH2E9Z3TGEBtRugSuOSOYNc3wooHc0BXlM0JrsrR5unOykdkcC2IejsAzV\n13rsSJ45hENBqlWGS0c5XI5yGqJ98rPPTImYTFUx1yVZZ2sKRBUJo2KU5Vrm+vRABApqAB4CcJW8\nvoGEZ9+6M2AGaJpeevM5YaZ3jOHQdQ7K8fKRyAhj3cnogPCQj5fzqQOwQLY/GcLDnQ9B1eiC8Cqr\nEOu8CYIXboMwHvLkuZ/J9eph5tMAgIjCsr8HwhAogthhLpDXvwJAGhGthOCRu6TuG5n5OhnbdQyA\nMUT0NhJ53K+GSOm4AsBiCLrLMQDmEdHtck1eJKK7kKDwlMv+MQA/JBE/tJGZL2Fmk9cPmU/9UgjP\nvkeOnwfgHQie+3QIAJ8PoJCI7oXggf8KgmZVDuAZGXh6hZz/9wBUENF4Zt4PsYvxPXlJBrBWrlUA\nh4LtocSH4Q3s4WQzgHtl1h0fRODurqMc4z9GRgDMiHwa6fycA3VU7K2J1JRX7MPQmShG5DDSUrR4\nY+2E88ZA0leGk+GAOgAsKfhqlUKJdI471abNICwCgOycgykA0ICybgBjERdbrFFo4YpING0gk3J1\nQlvGQF17T8aCMbXevxSdm7nEu3qgpC0ntLFzlrsqsq2sQvvfhms9j3Y+4Lnqiryc+x+8M7R5zu2D\nLdE1vty2Ddnj+cLAssDrtvLpNfGr2u+mb9U+p7d/6RXu2vt7OqZpObajnUq8NsMz8FW6pOhd9s70\n4cfB/0FGdR//ePSDWD3zHXJUr6VZ9dOxL1ZihPsaMLlvLkUaM+DK2IOUcU9hQ+ks5WbfDxCo1+jr\nnjfUUce8wxtS/8Jc74iXNhRTr30p9bo1UjujKG06DnkpKTw5pU9B8XvcU8G82j2LavrO0/xtTvWU\novX6vMKN1JL6T2MgHKHcOhsivePQi5kUdLhVn81H2c2FynjnFBrtsqv9zjjFszaDcmqV5nHZxvuu\npdTsK0RHVw5NVJvV4/M2IYvq0eapQiQSpLRmVQ/1pKkdRoVu41IlqhL8tjA77RlKnmO0UWJzqbOc\niuGzG4qeWsvIbORQsU9tdBfFm5xT0BXKVLsHslhNYyqNt7VdeuS30+5hjn+aNIaHO5+cRWWoNmal\ny+HEmrFkqGv/q3K7J+tnXldNOmZe37yu6QUfLvvLUF5xM7OKmVVlKPqNuWYGBGDLgqDE7ILgGmMY\n3ay0mhOQ4JrvxkeDRQEBls0c5dZ13g7hJbYG1SpIpHW0zjcgdRwFAfynQHi9syEKBJ0B4GWp47MA\nLpa65yOxqzEXolhXA4SH+iAS6/s8ROaWMiLaKdfIXKexEPSXSginUBqEF9mk3rws9d4BkSJxBREV\nQlBlTE78OwB+ArG+pgd6EMAaZn6aiBZDAOsFAP4XIi3yr5HIetOKhHHzGwjO/GYiqmTm7ZZ1MvOp\nDxLRNwG8JwNBt0BQX96GCPIkCG78cxD3ySlSt3MgjIivQIDkm+X6PADgWUnLAYCHiOgkiOqt5RCG\nTp6c07DCzL1EtE4aA69DBJgeVpi5lYh+BmFo9UHsons/rt9/qoxUMB2RTyxE9FsIb8JLsFjOzPzC\nZ6bUEFJTXvFXjJRLPmIJOzLbqypvOBh2ZQ/nDf1QBFB/+AA4klxsA4Wush2L88+ZThaP/OOOlTVx\n0isUJR5asPApIoLzcVy26m06bala71tr2z+4aKPjmi2G5is5aXRxwX0Pxjeo6nTnrmlXVob7769e\nkHdadzw1M31d2rrc6XNeS7mCnvRqq3s6/6D/MuTN2Ov4EzIKfvknTVs//67+YOS93gzyFc0oOiPw\nftb7etrMPfGfhW+hsi37Ynfb78avnE5c9lKG0TLmW4afdhjHZFZyU3oUsfFvKTUlxXiu72xl9J4G\nvhUP8ZvZfcy1TmXZrnFoLzjFGNAaUepKp9yMSah2t7A6ej0Fi6L0D9uXjdrWcWrOwU6+KvISSt2b\n8baL46k1Di5vKkHcfZzS49GYqAulngI4UnK51eVXovk7dCpoUranTeOt8Zloacungq5OnBt6n4rt\nu/TatD4K9pFRXKcqub6JhqrOVAddLsOvDigZNkUvceapcHn0Pqeh+FPaoeTu5VBmiPamTIjv53Fa\nS09BPNxr0xYFdsaXRLZqir1Vb/UMUCgUp9RmTU/r8qguvVzXaIISsdkR0EIMLa7k2dPi2fZ0TXfY\njEEHw28PaZzZFFczDipBu/HgigtffOlI7iki+jkEVeBI5HCe8Y8Tq6d1KDBrjn803ntg+NSJQ411\nNCCeITy+7mHOmWO3QYBbG4Y3QIbTZyjxQQCo4sOMwziUD/4GEukhhxIdh1JxTIqMOT8z7WMyr98a\nY2C9dlR+jkIA4QAEoLUC9uQgYvP6GgT4DkOAapf824eEgRaR11QggikPQLzLzGw4fghvfReEIVIK\n4TmfgEO/gyASFUPDzDyLiB6AAL0+CPB/OUQwZAeEhzsIkRayDQIIG3KdDADTmbkJAIjoSQiwPij1\nfhPAixD88JsgdgPWAPieLMLkB/CC/CmHKNzklG0WQHjrn7MEcq6RY38bgurTIOeaCeBVCFDeDcG5\nN8XBzBVE9DhExpbn5Fh+Zk6RtJ9zIYwoSL3vZuZH8S8WIkphZr80Fl4E8CdmfvFffZ3Pg4x41kfk\n00gaxEPnJMsxhnhQfJ5kB0bA+scKg4z9ZV9Z21yyvBIifdfh2x8GqKukhRbmfyXDCtRblN5dcdKn\nAUB2dnM1EWYDQBPGEQBQ3GAACLIjNlYfyAdzeM9oCi/btXsWmH2qY2rvtt53Ks5wX5O1JpRVExzI\nqb8q83ee38+7buzVq66nqsGr29blh5v+76vOrB88d2vuB8feaR8IvdO2pfW5cSfj/IHXNnqUX8z+\nfuT2xbfS+Vt+H3vY+zN+4/w25G78DU1rX2zbpsVUj7eap0e+YQQO7o3fXnGX8c7ipXRx+z3q5Noa\nui37AeOlc2uM0IEG22lb8rir4Ox4Q2QPZSmDtsmD58QbDgRxZtY2W27pY/rGBbPpN5FLFG/9lfqs\nrl2u6/Kfi4XK9mrv2RojY3ZqNKllLA+k5Sm9gV4Y3MzjOsepmQeWIMUVVqZmbtNdRTvp4Mx8Y5V9\nvlLXc44SaLUpC2mbOrN0FaIp9Vzl2Q1qtVFpnUYpveXoc7jJ644rAaVXSVVjRsHBWarblcOFTl2b\n5uhXkPO6ass7qDanFRlvOefSAd9o6urOosyYl44v2KyU5exUg+5qbnBv1Px+0jMOapzV5aJ4fKLa\no0xSQs4U+LUwx8iPbHsa8uyL4NHc+3DhEd9eN1n+HoqWluz9NaURH01rOFwwZQuEx/HLQ5y3gk9r\n8GKyDHfcBGZHQtk5XFaXOhxaHIpxaLCrtRqpdexcJIwYc+2sRoEBAQzTLJ8VJIoJmWOZuwlPQwBI\nU9YgQa0wK47qBkck4wAAIABJREFUAH4HwbEGDg0ENCCyuBRDeGDN6qHNEKDWpKnskvpOhvB8HiPb\nmjQUUy8vBKg0DaK4nE+mZd73QXjBl8h5abLPmxA0F4IA9Io8lw7hjTepLZdD5vGGAOYKBPjOhkj/\nVy316oYArAVy7XoArIegeDwMQf98DwJE1zFzpcxesg0iU4kCAchfgPDY74PIsd4Jkfv8BTnei8w8\nQERVENVFT5cpD83sMoDwZP+Ame+XKQyXQdzjGUg4yBiH0kwMiCDWTAj6Gck1sn4vppRAeNXjEN/l\nqcxcT0R/hDDMfgRgwAT3SfIhL13O2UpJu5uZ/zBEn3+1/FQGvzohjI0jch78J8oIWB+RTyzMfBS7\n4J+p7PysFfi8y2DKqLrtldeF45p7yce3PjxQB4BF+edsUkk9JBh1vVb7YUnrgsK6D19InSgQni6d\nDQAIwBUngOyM1q0TKGP5TsPmDPdWsXPulJC3Kt0X69u0UJ3kWFMTmHHssc/wc46v7e2ZlIUv7fvZ\n2NWd1xedMrqw8c/Lw40XrfzpuPXz73AEgm81rG7+S/lZJZd0v7zRFbttxu3RJ+ZdTN+o/5l6QeMr\n6uwpf1N+P3WNev0L24368VdFVrevMyZ5sxVP6CptesYmOmnKj+JPLv1G/Jym36mzDmx33p72UPyZ\n85qMnpaHnOeuTTN6886Jf8Btqta1T5k1ODce7lmkjXXV8vfH/N6IToran5/y1eil3Xc51Hp/9KzB\n1c6Txryi75y2W1mtH4hO26ZiQkep4s0qQVOkT4nr9froziy1qPWblO6KK1meJsNR+I6iTwhio3su\nfh65nHra0m3pHf10pm0NjZm6Id6ctl3dbttOqQ02ZXKdjdJjUzDgyaUmtxdB6lLdFDBK2kq1TPci\n5DpZLbb51GjGJjhz6pXQJOg17knqg8Z5aO3Nx2CPm6aiFsfnb9VG5dcoPZ4dqHVtUvxezchq1qig\nw0lOfTwNapONusIZdcn55YYSyaO1AuehvM7Dcc7HWo6ZbYajh5TInyHVSLqGFSSa3lVYfptg0sxG\nYqYdTPZcm7m8rQaIeT4q/7Z6wU2gnpyK0TwWRsLLbgXjmhzP6jm2rgNBgFNzPcygS2sWGPOzAVEl\n0zoPk+qmIgH0VYhCNeZ4xySNNV7O29QjQ+rgtYxdYenjQcJrbfLTTcNrMxJGlgn8siFSEQ5C8Llv\nQIIqUgvhOQZEkGU3hKHyAUSw5hgI2st5EAGYKyCCT03PfLn8XSf1WQORocUDAdTN76cQ4p76NQSw\n32zRGRBFiy5h5seJyAAwVY7plGt6BoRh4IAI7FwNYXDMA/AyEeXL48OlGNYA9BGRDcCFOPK6ITMg\naDLb5OcUCAPhFrMBEV0MsUNwEIn77iU5j/EAApI200BEX2XmZ6XzZToz74AwpGdBcN3PROI+fxPA\nHUT0V+n1LgYQY+auI9T9iIWZv/fxrb4YMgLWR+QTCxGVQHhezHf2GgDXM/PnLV3iFzb36qcVg7TI\n7snf2tCTM30BxAvhY+XjgHq+c8zufOeYQ3juAYQ7vRT8MHVfWlq3WcYbPqTmAQnPuh8uBoBMQ+/d\nPUatYMDI79oabRpzcjYoZVNV7zupywq/Nm1tzF3d3j6x50dFP5103Zg/uFua86v/J3yV9nzLQxOO\nO6akf0yXb++iTXeUrZ/3k0mR4Jt732p+eMZXSq44+Po2Z/ScCf80ppTuVJ/I/qZn49bJxhP2W6M/\nvFSPHP/2L41pffPt+8ZVOrjp1dji0Mnhel85Ts3/wHnexKeUB0Z/J3Ja7UPGotZNzludf9CfPL8z\n3tL1uOuid+2xQNaZ8SqbYY/3vqWXp07gXP9ljm37m8On52x0rBj3cHzDvDnqP/UzlWebTjVymjts\nlxuvGieXr7S/On9ndGegnhdsIR7fN0HtzS3lzXGvFuuqiRU7U9WxXedi0E2Kbm/T5xS8gLSCBuwZ\nM4nWKEuMp3rO0GJtzFN7a9VzPSv1onnV+o7UDdpuowol+1Wavt8ON0+nwfQx1BzyIYQOzYEBLnbm\nafnumRxwqkqKLaBMcjfCnvOO3VXUyQdSxtAW+xTlaf8pRk93hqL2RrHQ2KFMzq9SxhXvR7O7Sqtz\nbWm+7drbhguMTJbCpM9DeaOTPdrW7CUhHOoR9EMAi2SKSxyHcr1N4GoCxHYIL3YGEh5mM6OIKSZA\nzsOhwNekaCTrboLhod6lwwWCDieEQ73s5jxM+ojpITfpJWaf4XYlgAT/2zxnctXvg4gONvt3QniS\nk6uXWp8Jcctns3CQCgH0okikyjTzkDuRyNYCCF65aUSY45tz/ArE96TLcc0iR6cjQcEYlGtQBwHO\npyABnE0v/XiINTSQ8LxfikO91TshQPVTAL4J4XU39TEAfEeO8T15zXIkdhfuxxBGnwTTdnmdHRCA\n/x059qlyTt+HALbz5TgdEAZEE4CoLBiUnEltJQR/+7sANkKs8SyLzrpcuwmyoJAbIli0HcCdVuoJ\nETkgAn8riKhVruEzlnEGZP9WCEOnUZ67EMCDRPS/EN//03KODwP4BxHtgKBIBQCAmd8iogoA6+XG\nqh8i686/HKz/N8kIZ31EPrHISPa/QaSjAsQ/5IXMfOLwvT4bqSmvMD1lIyKlO3va9t1TLk9nRRt3\npH2YI76I95GG4YC6AjVy9pjvtqiKVmY9/q5t18oGtWsZADidvtY5c18qBoAYtMgleNoGIsW2rXeV\n2hVe+kfbr1aepG5ddmlB3uotLueSJ38Rr9dtWa718+8oioer1sdDK489e8wNexq13sBqx64ZCxY+\n3f6kcknTm7FTpjre79D/Yrt7T75z76hziwtybn9S317SX1SyafbNadHgm7sptn/Ol0pW7P3A1eAL\nFG7w2CZ1OG+P36Zo6/u8D+m/irVn1mqvBdM9N77gwt7ya30DWhPnUI+7Mv8kXuncG0wpXUOBEsN9\nv3F9zF+jRk7oWuf+sf1h40/ZaqRuwJ1y+RsUinpO4oNFM+3h6AfhYkeKY3LmQr3e6TXq3HudheO2\nBqO58ZRn1fP9u3xT07A/6C3v259xk/LcwBjH7rQ/Z7oHu7od6vJNpBf4y22dhSfE+l2qPRrbFS2w\nO5Wy1KlG1OXR6uyd8WBWDWUX1Rj9GW5tjW2JsS1cqfpaHYazY5BOimxSzqZV0bCnFR+kGNQacGDi\nPoWmN7hYUyvRnzUTXqemRNDKNr0bRa48FLtLOep0otMWQLu9E1pWPaXnNLE31WHscU6mXTyNO/py\n2d/tUDzBwLt7v3/GXUdyzxDRcgg6QLJYUxCaYqW4mC+nfiTS6AEf5aX3QHhhb5Z/PzbEtcwUk2a/\n4TzkQ9Fg4vK81WAwveCHy9duHcv0vJuA1AS9Ji2mHYJmogzRfw+Eh9oEy6ZBcRCiCuRBCOA1w3IN\nExSbbU1Qbq65CaYhjw3KdjEkDJU6iJ0N06sP2ScOAczcSHji/RBedQPi+8qG8LDvR6IgUFTqvwUC\nLLMco1+uYwQCIKbI/hkQANIsiDQJCcDXAQHMTf1N/nlIzu9hea0zpc6l8pp/hvBunyDHyIWgtCyV\n67wAIjiyDWInISL7+qUu2yB2ADIh+N1OCIrXBgivu7nmOoBaSZFRAExj5h1EVCZpJukQQPxaiCDW\n9yB2C/zMfI+cl+kQ+wAizeNOIsqB4JLfyMzriGitnPc8CMPmKQB3QQRd/i+AE5k5IMcJy3m0QDjY\n/i7X+BFmvpOINkHQV1606owR+VzICFgfkU8sRLQ9mcs21LHPg9SUV7wC8TD7r5eY5h7YNuM7u/0p\noxYeLh1jsnwcUAeARflnryp2TziE/mLAiD3meL+fSWx9jxm7bc3o0bsXA0ATxtbfQr8qAwDb5p5V\nal9k6S+0h1aep61edndW5qq/pacu/cWj8XVju7Bw5eJ763WFiiMD90Ur0o/dOT1ryaLHHStr8oqr\nB8aN3zr3cvy5Nt5q+FzVPTO3Oa6sfTtVCdyWlXnM/Q8ZVRpKU6tm3lgcDb5ZhejeBaeUXL611tUf\nr0vfkls6cy3/SPlVwFdN/jPb3/Pc6HrIuSI/J3r5S+QvCMxx7plwuicW+MdgZebsmCt9jGe1u4pK\nK973786c4Hg8epld3xX2nTGwynWz4zHlD9m2wO6AO33Fq4bPpi7U6seeoIbjVaEU7k2blXP8YMjl\n9Gyy1YbtBdVa8djdvNExDy/yOTTY7oZWP4iTohttN2jPh3yurpSHM9IG1Gab7eRNHM+ITrO1FZ0Q\nG3ApzlhsZyhbhTYhbbpuc2fb6mzdse6UA0p6YbXhyOlTtzhn82pexh29ORq3RqOj+ludZxurY8u0\njcaBFC+9lepgvUtTZuwlvaIlRTHsx6Aneyb7XYoWMZrjSryVCp25NMozwVCdadRhD6JZ7WE9vUlJ\nzW5kZ2a/0Wwbde//nPa3fxzJfUNEZqAnkACLZhn2oXKCm7nTk49bgwhNb3mymFk1TK9/ch5wa5Dj\nUFljzLbJ17P+n5j88L9C8KDtSe3MoEqrp9wK3L0QwNaUWhxazKUGApybBsRZEFxc626DgoQB4IXw\nyCbrHYAwMJL1MlMFmgaDuZ6AALAFOJSiY1h+7EiAUfM6Vu97soFgZgy5FomYAZNj/SpEcKUO8b15\ncOjuCEN4fk+W56ogeOWLIaguiux3t/x8FgSYHwdhvDggDIFSeY0oBFjdD+Hlb4bgdtsgAOwv5VgD\ncg0Csm2aXJfZ8nM5hOf8fyE83goSwcwxCMPLK6+rSZ0eBrAOApjbIAySHsu6mekXX2Hmb1qOg4iW\nSd3SIIyniyQlxS31PiDH/CfEznaK7HcjxK4CIO7Xr8viSjdCBJS2QhgcdRKslwJ4EAmu/pPMfEQG\n+Yj8+2UErI/IJxYiehfCi2WWOL4AwKXMfPxnp9XQUlNe8T2IB95/tRwsWb5+f9lXxoOUo9plOBKg\nnuMorlleeOEESxovAMBOtWndJtv+D+nNs+e8uMHl8s8HgPdx/KZH6Jq5AGDf0L1a8UaX3KI9uXqF\n9tqSl1I8m3+cmz3nG+/qq8/YxEu2Tb92VX9WxdLI4F/Wkt4359yxNw7Wah0Na2w1c49d8PTuWm2i\nchduK7ev71o/zt8yZqX9xtT/ycvettLunvPH+/SDgbSp0Z1Tr5oYDb650YjuWXxi0cUf9LnItc69\nJXfmnFcG7rPdNLCze3J6yfb9zpftP/Lfm6f52zpcGde/7LBXT/lOb7/Da7NHt6YsyT/bW+f2GvtT\nt6dPmvZ+4DXnl+KvBM/IULYPes8LvaPdZHvS9fsc50BVxJ1z5atGb0Z0mru27Jx4EPVxJbo7ZXrm\nsd6c1PGZW+wN/Z3u+qyxZVt6I1lGzrPK13urwjNzcSDUndbWl30pvTHwDe0N51ZPnB9LSwsV7le1\nUzdBd2KGvbXkhMiAU/HEo9t96UrEOSF1eiTdU+JssPdFG2wHyVWwF3kF+40DntH295UTI3vC5a5I\nG0VsbQFlfniX43z1/cBo+151Y4puvOtyIbNZ1ebtQbS0K9MWcR9jdOVUst8JW0xvilK8Wcl3ZKuj\nPBNiHmee2m0PoUnt+drld1w3HM/2ECGioV4yyWDZWq3SPJ7c5sPbEQL4OCEAlCmm5za5vXUcE+Ca\nYNPqyTaBvJlOcChamAl8dQiP9tgh5pAsESQMgWQDQ4cAUibNBRBe3UIIsGhInbOQoASZxYp6Ibzx\npt79EN7aM+QcH4ZIVdiAhFdaQcJLbmaCYXlNPwTQNSCAYxdEEOlXIUChInVKhyhT/1UI+sy3IIDf\nXggAnAbh8S+DSF94EoS3fhcEdSUM4RU/Q+q4WZ7PA3AzM99HREUQINQHYcwQRD7wX0J4w2MQoNIP\nAZiXQaQuzIEAxCcw8xYiqpTj+5k5U1I5boQwtCbLOT0D8Q6rBRBi5jFEtAIiwPJ7Uu9GCPDvgfD6\nF0HkG/8hBBfcC+Fxb5RjnyHXPgpRpXS2BN2vApjKzA1ENAvA4xBecQ3CGHnI6llPFiL6DoDLIHYC\nxgB4gplnDtd+RL44ctRgnYh+BJFZw3ygXcnMG2UBgEKIhwkg+FLPyQf1X5n5Itlfg7A8N0L8U5lc\nsMkQ3DQdwBuW6l8vAShg5vlHPTmRWmgpxD+SAeDbzLz+KPr/FEnbUvL47QBWM/M7R6vTENdohHgg\nmdu/q5n5uuF7AET0FMRD7zFm/s2n1eGTChGNgeCsHysPrQNwHTMfPEyf7wL4IzMHh2szTL98iIfx\nfIiXUhTAL440TVNNecVsiIf2f6WEnDktVTNvaI84MoYq+X5YkUC9ERyZNlwbghI7e8x3GzTF9pFy\nz084Vu2OUXyq+GTEFy3+a4BIeBYfxZWr3qOTlgKA/YPOdYovvvAa9R/rvm/7+8Iau63+vOLCsskH\nec9P/6pP7sqduW33lMtn6tG67bHAK5UL876yssQzcdnjjvf3pWS1RKdNe3fabbhrdW184gzHe+3B\nb6hvN91he2zeySVFm8JhddwDD+jRrty57TXlF1fGgm+t06PVyxbnn7tK8WTnvebYlFo569Wm1Z7F\n9NfwRUXO9Z0Dv8YD3kL3lsybMnPtP3jG6E6PzXTvLj8/JRJ4pXOUM8M9LecE5/vOmj49d4d7dHmV\n40/qFX2bvbOybDsGgt+MvWZca/t72m9zPD0bdHf+la9xZ3H/mKx9ky4a9GkDtnhoDZWlTIxXZC5w\n7Lf3hHfa6l1ZxXtCxaOrnRtsx8ZfwHno7011anWD3jG+loIbtedal6ib819Kd/a/4ExRplSTccoW\nBbBXqs2jToz6HJQai1Z53Rh0T0ydHsr3lDmb7b74Pq1Fp+w6e0HRvnA4HZ612pLQOmOR1t+bZlNa\nQoGs/p60L/GGyLnqqmjQ1WV7J8UW3ao67WPrCQurES305tr9abPiXTmVFLDr9rjeEOZY88ANTz12\n1pHeP8OA9WSJQYBak4sOJICxldZh9Xa/BxFcGEQia0e+bDNUkZU4BN/2IvnZCuKt2WL6IQAp4VC6\nSBgCsCV7sGEZ73CZYExJ7msCdvOa++R1kw3jCASAtQZthiAMAdMACSIx7y4kQL5Z5dWs/Gk1GqyB\nrNY1j8lzISSKJm2E4MCbhkUUiaJHITkPF4RnuwwJw4aljgcgKFFnyfk6kKhWqiNBxymDMCAMiBza\n5neQhkT6RTsSHv8WCMfR6xDguRuCr38JhDc+CwIHZEAYWU0Apln0NO8FhsAMGyCqc18FAdB7IAyS\npyAKJTVJHerlOMdBvP8G5LpXQNxH3QDKmVmRYP1RiPf2nUR0J4SDawAJL/4eub7PMfNLAD5MiSj/\n/iGS0jGaYJ2ILoXAU9nyeDNG5AsjRwXWZVT/rwEskwn1cwDYmblNgvXvMfOWpD7mttOxzBwiolMh\ntppamPl0S7tGALOZucdyLAPCqvUD+BIzHziqyVnygMpE/fcw87CewaS+GsQ210fA+r9Shpr3x7Qv\nALCWmcd/bONEH42ZjzQY7N8qRztf2YcgeHtPMPND8tgYAGcy8++OZIya8goV4qGfHMDzhRYG6bUT\nzlvbWrR4NoiS03Z9fP8jAOoAcGzumatGp1QsTT7eQQM1/3Rs/RBcZGa27pw67b0P/wd/grtX19PE\nJQBgX9OxXgnqx16gvrvxbtuj8yKE8Owxoxyagdhff6Ezk0Yrl9wbY8AVGbi306Wm0Bmjrs7Zq7Vu\nXWfbN2/2nBc3GC6j4ko8EaHOcLN9R/+sZ+23ra5Qa2cuHV3SVdQF/PwxPae5ZHn1/rKz58eCb63W\no9XL5uScujI7bfz45+0bIhPK1zR787SCO/gOp7LN23RC/4aMX9t/47miKKcjd7/mXPG6Pat66jUt\nfS4l3Qi+bp+Xe3Kn3VOQ85Zje7SwdLPfWdxZcJ/yvc7GnpJU564eXG28HPiW7cWce3NSO1bDXXL5\nG9wyqS03v3bSRV39bkdmLPjuYI7dkzYr+0Rf0KGmrrfVeiOpTdllZVu6Iuko+jtd2LY5PrcYB8Md\nWpM/dYm+Q7lJe3YgX2sq/lNmassqxeVZtI2Cy7crjohnNjePOiHudyAtFqnqcxg9KePTpgRHp0y2\nd9nCyh5ba8jvafLkF+/1p+W0u7bbKvEenRRqCI3N1Nvig2p7UJ0cPpD6NWVl72Jtq22fO6S+kuoO\nH4zaPdNqEV20h/WMYLHTnz7l7VPf+u2PjuT+ke+MD5IOm0B6uJzg1uNWAGwFku9BcKGzkQh0TKZ2\nWIG2OZbJF7fyt60GwaDsY3KgzbGQpKsBAd57kchAk5zR5gYA91qOWakSpg5W7r3V029SYDZDBBSa\nlA8zqNYsWmTlkpue+BgEOL0HIliyB8KLzhBrXyfXzqRv1EJ43geRKPqjyeuZWUSCUo84RODkHyDe\n96cT0RwIcGumXLRDFAUqhQCnp8l57JXnWuS4r0DQYEyO/DMA7oTglPfKOZVAZGlZKfVUIGgwL0Ck\nOzxNOhAZotrm+1L3fjlHQHyPLRBAPg3CUHgQIiPOCVLHdcz8AyI6E8A1zHyKBMaTIbjrF0J4vhcA\neJ+Z3UT0IkRg5eXMPEfmLP82BJg+E8J4eAvAXmYmCdYfhHBe3klEdRCOye8Q0UIIj/z9sIB1IjK5\n/rsggPyAvAbJa88DUMLMH2baIlFY6HRmbsSIfGHkSLwAVimEKLsbAQBm7mHmI9kKfQ3iHw4QluRT\nh2lrlbMh/qGfhshP+mlkNWRAChFdQUSbiWgHET0vuV8goseJ6CEi2giRS/VDkX1eJyKXbHeuPN5I\nRLcRURUR7SKicnk8l4jeJqJqInqEiJqkcXNEQkQriejnRLSJiGpJVDIDxD9/MRFtJ6LFRFRJRBuI\naCcRvUii9K7Z/14SFcquJ6J8eX6H/Fkg210kr7GdiP4gHw4gIj8R/VLq/w4RzZVjHpAPNBDReCLa\nT0QxIorLMUqJaJls+xwR7SWiv5KQ6yC2D98noveP4rtbDiBqAnUAYOamIwXqAFCxt0aHeOD/14g3\nbdy+1Yvu2ddavGTpvxOoZ9oL6kZ5yhcMde4D275e6+eCwro+6+cu5H/o/SRDePcGOMUOAA6GUwE6\n4yrZQ3bsVzhud0T6q4lIUbQxtSHdV+CL928q14vnqqzUVe9eXujmoPsC/Hm/UeCeZaTb1lwYvWWe\nYthbn2lrVxvzkXPP2cqBUS3vzR7d/PZam+fkZap96srNPa8va+nb3nBBeGF6w95lWVSf0f87WmF3\nzrKlvTVpWWh5+H77fa1R+8ICb+zaq6NaQdOvtcp9b7Et9Vu2Df01qGp53nFuYDbn1Z6nHVh/vHJj\n/73Gbdk/djqPc8XurbjENi/6J6OwY5Hyj54O1J4Swg1X9DhCkd8YCzf/3lMcrYx7bcsdb3W+E9vS\n9LR7Xn+WfmbPmfbQtku4ft3xdFbTO8qjuDi6ovQxZ9pxavid+ce7z0j/pbEs9Iimd5yu/bkrxOeN\n6yp45luh0M/P3uTu45/F51T9Qp/WOuhwaadE9sVHZ7/esSq0o/FF26gOn3p61/LYpOqrMvrXXRF0\nflBsu+jAi9rv+dv+W8fdmXbsouro/uVToj+adkPacal/jN7gfcCtNF+Q8sOerMAV+V57z5k+5beX\nNUf+cMZbW4/iNlo7xLGjKSuenHkjBgHMFiFRdEWz/Db518lAHRBA0tz5Nb3B1owvpm6apU0yFUe3\ntHdCcJ+HouoQBHgMWa6xF4d65c1rhpGgephi6uBGgqZi5rWOQYBRQsLTb+p5AAk+/E3yfCESxkAU\ngh8fRyKrignwWyG8zs2yrXntZoh0g7+DMI7OBXA7gCuI6AII77NZ7fQliPf1HIhgzhCAdumcWQWg\nmpkny3XeIvt9W+p7J8T31szME+U1dkM4d0IQlBs/xI7DWAALSWRAuVB+roDYcZ4E4S3vBLBV/u6F\nCKi8HyKTiSG/j+/Ia79ARDNl+7Hy2CII/AEZaFkNYQDUy/NrIDK9gIgmQlB/9sn1D8i1M9NRHiLS\nETkKwOUksqk8iI9mTQIz6xDUnEoIj/2pEEGuVRDG0DoA9xORU46r4uizEI3If4AcLVh/C8AoCR4f\nIKJkT9pfJWDbTkTZluNPAzhf3lDTIbbSjkRMYP+U/PvTyBkQ1ikAvMDMc5h5BkQwz2WWdiUQW0g3\nmgeI6FqI4MQvy4dGsvQw8zEQ/3Bm3s9bIUr6ToEo3Tv6MLq9b1m3GyzHNWaeC8HJu1UeOxNAPTNX\nMvMaiAfiD+SOwS5LO0Dsesxm5l9BpOpaJed8DIBqEumVvgZgoXwY6MCHZU48Fv19EA/SEyHSRN0u\n27wF8eBwQXgs0pAoiDRT6j0Z4qGykJnvg3jpHMfMxx1mPZJlCsTD6dPKm/+CMT73oiu20PZp16za\nOvOmMl1zTv4kYwig/vDHAnUC6ccVXhCnIdI+hhDt6SP/IbSbjIz2POvnAFIShVYMtgGAF54PXzYp\nhtEJAE15IlVZXldVGAA018IiANjW+04qgWhOfHxPKJQ+xuvNX/8lvLIgnQe2RmfnHBMhW+dZ0Tuc\npdF4zl09vbWbJ9KMp5Yqm8cf+MeSwvb1K22ek5ap9mmrdg+sWbynd3XdBeGFYwMtM9G4c/7A/bwi\nb+KoxmjHwvH6gtj9GeibG326t51/ejm5X63cHVz8wc3uvPhEJew8hV5ueUTTu/bjPP9yZWD7+dy/\nZar6y/AN/J2i39tix+fwXWNX0NzIIxjfMRuvdbarB5eH6Opv+7Vu7WEs3nCnfawvD4bnAl4/sB+v\nNz1Iud1e9ev+4/SS/V+zbV/3jUjaTrvrTv8tsXs919rmztwN/wklxkMVF9jmKg/p3/T92n1s2zS8\n1NftmD29N/Peq8K+X39pfVo0cGfs2M0/5yntfofHflb4gDEh5/WuNeH1DX/jjPZ25+n9s0Pz9l+a\nFdxwTax/7aLY4urdnp8P3uz7Xfa3HefNfMWeerzie2nhGalfH/0zZTk/Gvtj510FC5sW8iM9/tVH\ncSsN9463vYO4AAAgAElEQVSJ4VBKizXN4nBBzyZ/OwJBpTTT8ZlBieaPCaTN3UQTYDPEs0qHAKlW\n/UwduiCed2YAbLL+ISTynZsg2XoNK72vBolAU0CASCCRdcYUJ4QjKWLRw6SlTJH985AIQnQjEVC6\nAWKXoUWOO83SdxsEgCaI57oB4dFOQcIzr0Jwn8084MUQz8lBCHAbhgCR2yBylrfLec2X17wfwjve\nDvGevwrAdRCxBFVy3KukPtadBFOyIJx5QYh0gcnvyXUAZhHRTrlGP5Pz2QRgjXwPTmbmFfL4TggO\nvRkEe7ZlrAAOlbfkOsyEyGp2BxI57K1SJo2CCRCBsmYxqQcg7pWZUvdLpCPzAYh37PUQwN/6XZvf\nDUHcg3dCfK+DELRg4NBiQ2YlWLPPnXLOlXJ3/SyItd9NRNsgDIgnMHze9hH5D5WjAuvM7IfYClsB\ncaP9nURVLVMutNxIvZZ+OyFu2gsg/jE/VkhwlCdAUD5qAcSIaOrR6Cvll/IfbQUSoHwqEa0hol0Q\nD7EplvbPSmvWlIshrNlzzR2FIcQEqMlW+dMAwMxvQHhChpPjLOtm5aAPNe6HQiL9UwYzr5KHnoCo\n7mbK3y1/L4cwJsDMOjN7IfieswBslmt0PASwBsQL6Q359y4IoB+Tf5u6ZEGkC9sCsdVNSHjNNjFz\nCzMbENzBj+j/SYWIfi93B46Wg/6FB+uducdsXb3onu6+7ClLkRToeaTCHBkUQD16WKAOAHNyTl1j\nU+wVQ53baKvbDUoUZbHZwr2qGjcLmSACe8iAkvAmGawBwACnfOgRLYjrfgDYXqooAFDcvnYcACha\n/gRA29cRapgWM6I1U/SSeSor9TV7lkxlhvcW3JoNlbTYzOz+Wi4ZfXf86zvO9AfnfCkQXPPSAmXh\nugpaVbHvyWXZvbtX2jwnLlXt01bt91Udu7n71bpzI/OnevrKu6s2naHcrN+Rd47nudbwcQU5tziv\n1P4n9EP/u00dmWpFMPqdK+M8Zv9vXTP3PBt0pq5IrY+Q/trBB+3HDGbTyf0n0e6N/4+97w6r6sre\nfvetXDrSq4oiYEPEAkhRYzQ9MTFNY/qkTmIyE9MniZlJn5n0XieZmj6ZlEkyTkQBQewKgkiT3rnU\nW8/6/lj7cC5EI8bMN8n8WM/DA/eUvffZ53DPu9Z+17su1vuWmZRXlMsN58V/IgaWxujvibwR6bZX\ndLNbZuLr5iZ9a/YQrl7nNB4K+JvIKrzLmNBu15t8f+Y+YIP+o7rnlO7mHaZzB1Ldi1vOMjVuX6NU\nFi41rGz6Am/SauWGqJf1gdmgutzpuvUR65DsfEv/bM/txlsag5QP+xonBGVavX51k63vpZO2+Js6\nNtgWbXtMTG8eNPl6rbLXIyXk6/Yi58aaNxy6pkqfU6xJgyc3rA407bjOULP5gr7Ina6AX7Y+63jN\ncMXQrfHP+M/Irrc3LZvmeGL2z9pCNtSPmcI2yjy/P3ugAdzX5edhkCLNCQZ6nnzyTjCtUoCjp5Dt\nHAADS5fHj6oBrvZrAoMzPUaqsaiUGRUk+0Cjy6lOhMq7tmCkaowKxD053yo42weOdCvQtMzVv1XJ\nSdWhMEIr2KPSSdR9jWBAthP8/d4BjgrbwRHvFdCoOG6P37PAHG2AS93/G5zQ2SfnsAYcqX4NPNd9\nYKC5BsC/iGg1OFJ8Mzj6HQ1O4FTk9o1EFAwGyP5gx8ElV9wvBAPWPiJSwfr70AJm28AAdRCaIsyF\nYPCfLIS4UB5nJ6JzZDCqCBzVLgQrstwMAEIIHyFEApgmEg2OzCfKuYknoknqXBLRdiJaLNt2EtG1\nYEfkPE9arrQCADlEZAFTZoxgJZZi2ZaNiNbKOSsErxwATNPJI6IEMBWqW654F4F58yCibvA9LZOr\nCDkAHpOU21rwexng4Jj6bH0J4CohV0kFyzEGENGdRDSViFKJKJOIHiIilR41bv8jdryRdRXobSKi\n+8Fe5nljPPUTMIdurBSYCyC1TAXznCfhCNF1IcSXMiL92lHaWS9B8MlEtF9uewvAz4loFoANGLlc\nOtr7VsHp0SrjAdrL4Ehe+YnYibY7+lpGmwDzwFVHIZGIHpD7nKQlNKjLypDgWx1LK9iTPwcaD/Bd\nMGD3jCYcc/xCiIUeqwtnjdpdCo/qeUR0I9ixOC5Fk+TyA1XQljD/p8xh9O0snn9PQemMq9JIZ/iu\nVZzvNAnU68YC1AOModWTfGdmHGmfAsVVpWtJ9NwWFl5VIYT2ndOImIYR0pHEfONe+AxrV09xOp0A\nsHOqiAIA76H2WKE4awBAb0puAYBya3GngNClueJbXS6vCa2tU3bHoGHSQmwtUkK9UpRg85ZX3Gcs\n2q9Myn+0vTM31unc+vQ5+tyacOSn7HtxsX9vzWYG7LPz6gfK0za3vFt3miM1JX4g8WBR4aroU21f\nGO/Rb2hxZYbE58ct7Jpnf8n72jaD128H2603/1wfujnxgDWnYL1/uC1E0fmu1W1q+8y8u+nvzguG\nFlgSm1e4ivMvNqXVl7tf1V1qykjehZ4lk3S/mHALLbK9rM9onYpNjY2G3oVDdPkvyLwz+gtaVPgL\nw4y6Sr2P39XuFiTo/tHwB+xoeF+X2RslLuo/WWcsX4WiLWt0gWV6PDx0B541XYfM6bvItSzcUJC2\nSDnf69e6GfY/mHZ1XYhX6526N5xN4V3L+/Xr1tkG3sn8xjeo4T57VvGjhsRWu97Pe7WjRbdgwjcd\nu5RP614a6m/a6bPUGmtf2b7SErb/Ku9DBVf0OYqmeJ9f97n+Bce1fc9MuHnMDvKo1VVgZDVNz+S3\nczESqHtSU+4afqT4pxUMckqhgRiXPE7lWqugnqABdDUhVW17KzQwrCaS9oPfOQZogRLP6L0L/P3x\nJbTV4dGrAGr1USf4fTUPGs88xONvAgc7VOqO06MNAZYKVCk/kWDAPgEM+ELA0fAasDPg6RBY5U8v\nGERvgiYGEQdemXXKNpfI63WD83n8wCvQZgALhBClsh91TBVgIDwHzMdWv6evBjsxL4GrbbYIIXrA\nQRw/GVjZDeAOj2u8WX42g0G1lYj2yTZ7MUq/XnDgQVUZmwV+fv4mKSSFAKbJYNoqAL+XkfhdYE73\n0SxdCPHUd+x/Fkw5LQOvWJdBgm05JiGEuA3sLJ0PYEhwjp7KWwcR2cCrAdvBkfwyj/YvAnCdvIZS\naNLCLwM4WW5Phfbu/Rzs8BTJQOO74FWScfs/YMcF1oUQidKDVW0OOCt6LPYGgA3yH3IsdjGAU4ho\nkvSM03AE3joRrZBA8+rR+77D/AA0C62E73fZLrBM1SeC5aTGagVghwOCk1uDjuPcMZmMjnd78NnX\nQvPuR9tGcMlmCCH0Miq/EcAqIUSY3D5BcOLmWC0YfE++Ab8UbgLft1fAKwtHsiOpNICIij2chk9G\n7f43AC8hxPUe27zx/Wx02z95q41bUZCf+QgGfKLGUv39qCaB+uGxAHUAytLI1QOCq+J9yw7oG0tI\njORghodVezpwqMHUEXx2KGQGgF6yDPPrkxwOEwDUhWEy8UscAdaaegAwWNITASjlPcXziahjljsu\nXUei5lDlwnRFEQ3X4+l0AzlrnanBC0mHqvMd98+1kfHQ+40ts82KUnn3ZfqFPd7Ymbbzd1negy2F\nRp9luXpzSl6rrW7m101/aM90Tkta6Jixv6R45eyIru72Z3Ct3jRNH9Axf2J7jvOpmF39yzq21Db4\n7c5wi19erQxOOfhcYOq+t7osfpeG9uin935Y90yA6Gy0r7Ut9sKhU2ln4Tm6i3rew3OGa3ST57Tp\n2nPilet8bhfZthextDWW8usb9Y7UIeWy23Te3yQVujO23maZc/Df8LdchCGvFfTvtq/EF4dfFJHd\ndlxmW2yc2XSqUrbtQsOh4iU4t/1TvEUXmW6a8KxjQrrLMHBSjHh78jmuRcpz5pOGnodfe7ryz8Od\nXo+amoN3nGOja28Zsn+c+rUlpuoee1bxo8aEdqfO33uto0OfPWFzdxl9XPfCQFNDnk96T7D7ot4V\nIrFyrX/D1quGqvJXfjWGZ0M1z4qFHdDoJwQtwg0wCPV0vFUA7CkzqB7rI48/FRrn3BvAR9DAqhtM\nG1HpKv2yTbXE/BD43aUCZJV60w+W1iMwV1lVTgEYPLtl3yuggcAqcPS+FiMLLwkw0FfBnQKNmqBG\n1tUouDomNXqvAnSzbFvI/uLBDkO1HFcUmBoyQY6vDxxxV2TfieCVTx2A+2S0+RrwvVAVZLrA6idq\nBdBpsv+D8txVAP4of2aCeep6sPyhWvDHQURmcOS/E1wk7wH5Xa4nohT5d6rHe7pBXtP58ncpABDR\nIcjvaCJ6jYhugWYDRKTmQLSrVFb585k8ZycRZRHRbCKaQURvyO1ZRLRbbYiI7gUnyo7YR0QtpIk3\n2MDa5NPBzqAfRjqZN4IdngVEFAJeXXhWzu1qj75+T0RTiCiHiC4jot/I7dUSv6QQUTJJTXMiaiai\nBXL7PSSVYDzamiV/Mmk8ifT/jB1vZN0XwB+EEGXSc50O4IGxnCgpEc+M5VghxCSwR1/kcX4NAKsQ\n4rs85bHar8CRkQLwl9t3mvyCuA3AZ2LsSaIbACwXnJl9PrQv0yOZJ2f97TG2r9plYKrPXvAL6MGj\nHLcOwBLpke8AMJ2IysCKN1/J87/GEZJcvsPCADwNfsmp0lMpYMB+tATSVwD883gSTGWE/xwAuUKI\nGsGV1v6AkZGasdpfv8c5P0obtIQd3pL5yM7q+LMWQehGRzGPyzyA+pioZmnBJ28x6b2OCup3GqpH\nOVNE3j49I2QdqzDVNuo0EwD0w3v45ZRsdzIdQQjR682rItHN+ZwQrvOLgPDercBtbho8tF9A6Oa6\n4puI9Oba2tQ6I1zmG/B0F/TCy5EWYh+E2Xye4wFhUUi839hiVnQYWHetfqrDQFULSh6ab7b3lBi9\nT8rVm1Pyuh2tCZ83vOZIdkVFLXfOOVi676QUa23cwRfoyvj4oLoO++IIn4f0a73X2Dd0/LGxI/py\n6m782c26mF0TD3Zmb7ktJLwfQ+aA67z39h7E5/Uv6eYNRBhWDi521uw+y6tqR/bQnfaHLY963Wb3\nX0DmlqyptstM9xiX2J51n9EWJgoONxr1Mwada2/T+X+ctt8+b/vdPvP3vu0OMizTCd+1yg7rQXxQ\n+3tTX3uZ8/yhBZYz+k5yWPefLQq3rDYHVSqORxzrzc/rfubKiS92uZeE+DctShi4L+haTLe/GXT9\nwIbBFa3R2Hq4Kej6wDaf91e73NfcPET/nvaFMaHsLmd28WP6KR2K8PO+zN1rWh5Y2FOFD+teGKio\n/8wyq9vSc8eGu3eN5fmQ5qlAFQKt2qXASPlBlYuu6nirNgT+jvEE74ng5EX13eWpya6Wl28BB5FU\n4Bvk8bcqIegPbUVV5bhHgoG4AOcCGcGADeCotAn8fVcFLdI/AKbwHIaW9KlSanyg0W3+KPtskMdY\noOnKAxrtRuXcq47KDrBiSYecjyowaBdybEPy3H75kw4GlT3gyHq7bOsFmeD/Mdi5McrtfvLaFLBz\ndbVsewl4BeNj8ErCRAB/BzsxDWBH4X3wO+OPMgqfBnZ2bgKwXghxQLBSC1+YEPOFEHlCiB3gAMw+\nAI/KucoRQgwJIaxgnPGlEGKKEKJYvrM2YKQFCBZ8qJC0SCH7eEUIsV2wMMJ9Hn0vFEJslVH+YiFF\nJTz2nyWEKBBCeFbK9QVQIK+tBPyMFAshCuXq790ArpNBMxCRnYjuko7CGxi3cfsBbbwo0n/IZMTR\nTUQuwfJlL9KPsLLniZgQ4nyw9FSf4GITcwH8moiO54X+/90OJCUfgsZ3/cmZInSuimmrC5oj0hdA\niO8qdz4mO16g7mcMrjs1+qowcZS+24T14Cfm7SOAuZ9fe8Wc1H+OoMXci8e21Iip6qoQzF82dggG\ndagxr7YJAa8Ova59SVxMKADc+a47b24V5bp1Blte9lMEISyuoaICl61wkbfBv/mMmOtCSUC8Zf6m\nQRFKXEbmXw8YDK7p6/F0YZOIyTTu6szTt9lybzW8t2Wd4aPsL3y8d9weGjwn1IrWZ15y6yCMAQUZ\nDx10GX1SnIMb89z2Pbleet+202OusVr1Nt3HphJzUHB95/QZ38T+Tawp/Qeds8C4r6fIr6Ur9SPT\n/fv8TM3xF0VFtAS16Xwf+JPbPeQ9Vdkz+0ajU2myOfv/bon2ju/LCDsroFbf0ZVnLAsODqvunJZY\nGLRHN6f/edxqsFkNBtPuzr5YR2vU88anq6bqamY9FhK052NfnxlZpVR75VeKWejCAsqS1tZZ/aKn\nu2yFpW77nklhXrF9acEn93oZ/ZN3G+v2lurro8w+XYb4KSV1gYEts3eKeXV/wyWDjRSdomu2lRmq\net36IUfKObrC/TcZPnLFiZbZ//L1rngl0H+oyW2IP2UHqpfvVLy8nIGR9XHLKlvCFwY5da5Qt6Ps\nuXV/uPvhsTwjYqRkI4HBph84WmyXPwHQIt+90Ir0qLrfnpKJBAZ3enCOUTkYTC4Bg9JJ+LYsazcY\nFCaDA0sqn1xtT42aD4CdBT9o1VMvACfIx8hzwuTY1UqYV4Md/4PgSPcyMAC2g0GwyrG2QNMDBxg8\nh0PjvKtqMQoYDHuu9A6C+eTrATwP1odXFWDOBOd0ZYCV1qLBMpHLwE7Hp2AnZQY48t4K5q93gLXH\nPwED4NPlWF3y3I/BKjJ/lePXgb8rw+U1rwTTWf8IBuW3Q7unG8ErrF/IftrBqxk1so88sLORIOez\ngohWyMDN1URUJVjC8H4iWi6E+BxcRfPPQoh14JX5QCHEMjn+6eBI99cAniGWOpxARF2SNvMNeFW8\nGpzTcB4R7ZSryv3g6p4zwYpFN4GlgIdpLsCwbHAxgFeJ6FW5bTJ4xeF2IjouKua4jdv3tePmrI/b\nmC0OnLi5B6zE8rP/8nj+E/YrCdSzoOnVvnSMc34M9pONrncHJJRtzvptVXNkRu4PBtR7Xq0fK1AH\nQCdFru4+GlAHgEJjRevobRGRlc2jt7UjbDQdarhNgugHgBC3EgpObMeOqUy50SsuL5PDWgoAeq/U\n2QAGB129kf2u7hIdhH6Oa1I9IERFeZYDAO7G/QkgsjpTJmSSTlQ86To/u1KJKjh1YDBtZf9Afnug\niLpvrd6qU5zuzKL7JutdtgMcYZ+TZ3P3h31S/3yYn8s4eJE909jbGWfesf2svguUv0TfLh6qcM0O\nTO6ZHVW53PF40l+Hzqn6pq4xYbbvQOMVt+hiK8Oq2rPzb4uJ6OnpNAfcGNXs1Fk/rH0yVN/b0X+p\nLXdCUHNmf2H+xcFhDYM9r9DayNUBf+505oZGVM9JbDtLeWjCmfYnrGvavA1baxtMIRMHB668VR/5\n/GkdXQkVv/PJKnpAiRgMJnPATb5dIr7vi8a3/b9seG0oplfQ5bbFwZk92T21e840F+ZfbAyudfY/\n7Fof8KK40r40avMgZU8IHVocPfBe9CmDS1y/D51rf8VVYz2p/62GXv9vWhv9J063il/dAFp3Ta+o\nDPoAadvX6zJLnlCmtPV8PcZnBBgp2UhgypyaQNkMLYeFwBHMaGgUDzc0jria4/S+pAXMhJY8mi/P\nnw6OYg95tGEHg9WV0KL4VWCuuqqnbgVHp++Sv91ybCXgFeP54O/xYLlfDwbkjeBETQI7CTlgkNsP\nBq5GMEfZIq+zFVrEXH3m1ei7GQzKVeqXp9SjGbxaWQ7ODSuAlrf1nhz3Unncl2AwXi/HeiqYXjIB\nnOC/Xo5fnfciuT0V7HAEg7ng34AdBh04ej4NLPHoBnOpU8GUo3DwCvUyYiU0A6SjLc1BnBS6BewA\n3S3n8zx5P7wBLBVCHADTcP4lee3PA5gnhCgHq49dKoQ4B0yt8RdC/Av8jqkCcAqYdjMNwGPyO+li\nIUQXeHUlHeysrZH34s9CiNeJyEqaiMTJYErP6aOBurTlkJVdhRCVcowfYWSCMoQQp8mV8TohxIIj\ntDNu43ZCNg7W/0NGRJWSo5ciuXX/i9Uz1S+808FVST/DT0PjdaxJzj8ac+nN/TtT1m3eNWddkqI3\nJx77jGMbKTarvefVesAx49hHs6VMWLLFrPc+6gqRDY7uDtE3b/T24OCGwNHbBuATMWrTMFh3Qzcs\ngeclaznsjtfyKcLadw0AgBBmP6GbsBsAdnVu9AGAOe5J6YJEfVdX7BybzWdbEHpCT8Mne6ATRsf8\nEEGA4xzHr2c7yFD7YEdX7iSHs7AyWiQ+d6auXO+2+WQU3x8mFGe10Xtprt48J8+p2AM+qX9+is7l\nql9jz47BYGh7cdGq4GRHufMpXO82RcDiyAm3Py1WBZ3peLj1nva+6Nfb2g8/fZ4u7qGLqDqp/NWJ\n83Y/Ve9lWRZp8FvTXtyxMejLhtd759lifS60Zdu6DuUai7deIDJ7tjlfpzVBi0O3WO1LI6MrkpKb\nl7sejzzf/lD7VW0G89baBq+YyEHrNTfr4x4/t781uu5lS27B7YbYrkG7V+ANIU6vk9q3tH9l+aDu\n90ZbV03f+faFYats2T2oWeLeWnBRZM3uzNZVfR/o3qSLI9abHmmOSLYa7MuiojvmTWp4xOdSMcv+\n2sSzbY+2xXRNc355uCXqo+4mg3P+oPj5LTrd3Wut9VNq/jGi4N0xbLSqSyOY8gAwP1oFpypXXI10\nh4K/Qwxg0HuGPF/ebzFJ7psKLvUOcALfABh8GsAAWgWlnqoq0eAoMUGjCxrBYC1AjtkCLoQ3E0zz\n6AaD4UBogDsGmga5Xva9ctQ1qxx0nex/j8f2IbDj0gyOUqurCJ7/16ojcY/8/aEcj5q3tQfsjNjl\n/j/J8zeB6ZaH5T4rtMqi7eCI9gsAJoNzmEZLEU8C34MBMOUlUJ7bD74PTnmtdjDoLpAAdha0glQA\n8IoQIhQc2VepTaoOfBUY2LvAMouq87Yc/IwUgB2wAWjVsVWbC47mt4GV2wLB97IH7JCsA0fa/wlW\nQ/sbeMWhXraZJkaqyh0C33vPXDxPexbs9JwHYJZcHc+WY3cJIeIATv6U+w7gp/EOHLefmI2D9XE7\nEWsUQrwMltz6XFJ/fvTPVHL5gVJoEmI/emsOX1CyZdET1p6gaTnghK4TNlJsVrv1tYbjAeo+hsCG\nRP/5c7/rmBJD1V6IkUoOer2z32Cwj+jHBvMACb0G1hVyCI9nxwn9MIiY4Fa6AaA9UEQqAq0AEN20\nZZK63+C1wAQAzUPVs12Ko0IHnSHFPbEWAMpKl4QQwXUx3snyosEyCjRNUyItWwdg8bvIca+NCPZ3\nm1rmeClKxZaZunl/TxcFJmd/cHrxgxahuBsYsKfmucnl/Y/6F1OGnL17L7YvmhPgCN5XXHReiskq\nKl/CFVNivRqq7UsiE/YHTGucY38lxjgU1ZFf1xBGkc6uK27VhzcF1LRm5982OaKz7rDZ/7qkIUNC\n7T/qX5hW3pFXe6594eSlgwsOl+05JWr/zlNaL7G/7fMSrqCk2Gq7/aTIiL2TZzXlOJ6aeJn9vvrr\n28m7qK7BMjVksPPGG/Xx969xNge2/9mcu/lW/ymN5VaL3+Wher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XTOKcrGkQKAPRbRKBT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\ngg==\n","text/plain":["<Figure size 1152x360 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"K5ciPtjfHzp8","colab_type":"text"},"source":["### Merging the agencies under 1000 counts to a different category could be useful in getting better accuracy."]},{"cell_type":"code","metadata":{"id":"emS-emWjv97G","colab_type":"code","outputId":"e794ca25-924e-49e6-f37f-009f8493bcea","executionInfo":{"status":"ok","timestamp":1568835420902,"user_tz":-180,"elapsed":42848,"user":{"displayName":"Sariel Gilat","photoUrl":"","userId":"01352438547208519443"}},"colab":{"base_uri":"https://localhost:8080/","height":204}},"source":["df['main_agency'] = df['Responsible Agency']\n","replace_agency = df['main_agency'].value_counts()\n","\n","df['main_agency'] = np.where(df['main_agency'].isin(replace_agency.index[replace_agency < 1000]), 'Other', df['main_agency'])\n","df['Responsible Agency'].value_counts().tail(10)\n"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Current Events                                       1\n","RPD Community Services Queue                         1\n","PUC - Water Waste - Communication Queue              1\n","HSA - Shelter Reservations Queue                     1\n","DPT - Meters - G - Hold                              1\n","DPW - Bureau of Street Use and Mapping - G - Hold    1\n","Board of Supervisors - District 3 - G                1\n","Redevelopment Agency - G                             1\n","TAXI Unpermitted Cab Complaints Queue                1\n","DPW - Other - G - Hold                               1\n","Name: Responsible Agency, dtype: int64"]},"metadata":{"tags":[]},"execution_count":102}]},{"cell_type":"markdown","metadata":{"id":"D2li7L7Nk66I","colab_type":"text"},"source":["### After merging less common agencies we are left with 42 agencies instead of 248. Now, the smallest category has more than 1000 calls."]},{"cell_type":"code","metadata":{"id":"_o3K1sklC2qn","colab_type":"code","outputId":"6dd03fcf-c67b-415b-aca8-4b6b94dde9eb","executionInfo":{"status":"ok","timestamp":1568835420903,"user_tz":-180,"elapsed":42839,"user":{"displayName":"Sariel Gilat","photoUrl":"","userId":"01352438547208519443"}},"colab":{"base_uri":"https://localhost:8080/","height":765}},"source":["print(df['main_agency'].nunique())\n","df['main_agency'].value_counts()"],"execution_count":0,"outputs":[{"output_type":"stream","text":["42\n"],"name":"stdout"},{"output_type":"execute_result","data":{"text/plain":["DPW Ops Queue                                        206001\n","Recology_Abandoned                                    85327\n","DPT Abandoned Vehicles Work Queue                     30060\n","Other                                                 25615\n","MUNI Work Queue                                       16071\n","DPW BSM Queue                                         12858\n","Police - Homeless Concerns Queue                      11838\n","Clear Channel - Transit Queue                         11167\n","311 Supervisor Queue                                   9927\n","Recology_Overflowing                                   9365\n","PUC Sewer Ops                                          8363\n","DPT Meter_Bike Queue                                   8032\n","US Postal Service Maintenance Queue                    5981\n","SSP - MTA Feedback Queue                               5308\n","DPW BSSR Queue                                         4631\n","PG and E - Streetlights Queue                          4344\n","PUC Streetlights Queue                                 4342\n","PUC - Water - G                                        3783\n","SFMTA - Temporary Sign Request Queue                   3704\n","County Clerk - G                                       3690\n","SFMTA - Parking Enforcement - G                        3358\n","Recology_Litter                                        2824\n","DPH - Environmental Health - G                         2799\n","DPW - Bureau of Street Environmental Services - G      2458\n","Housing Authority SR Queue                             2231\n","AT and T - Graffiti Queue                              2024\n","311 Service Request Queue - Hold                       1841\n","Noise Report Queue                                     1790\n","DPT Color Curb Queue                                   1765\n","DPT SignShop 05 Queue                                  1671\n","RPD NSA Queue                                          1669\n","DPT SignShop Surveyed - Area 2 Queue                   1564\n","RPD GGP Queue                                          1542\n","DPT - Other - G                                        1527\n","DPT Signal Queue                                       1455\n","DPW - Bureau of Street Use and Mapping - G             1367\n","PUC - Water - Graffiti Queue                           1319\n","RPD Park Service Area 2 Queue                          1278\n","DBI Inspection Services Queue                          1213\n","RPD Park Service Area 1 Queue                          1082\n","DPW BUF Queue                                          1055\n","RPD Park Service Area 3 Queue                          1036\n","Name: main_agency, dtype: int64"]},"metadata":{"tags":[]},"execution_count":103}]},{"cell_type":"markdown","metadata":{"id":"s-1bZQNiL6fw","colab_type":"text"},"source":["### Without the small agencies we can see that from the 3rd place on we have similar counts."]},{"cell_type":"code","metadata":{"id":"Zj5Dz-BySerP","colab_type":"code","outputId":"dbfa9b11-7f37-4f1e-8871-4afd8931c9ec","executionInfo":{"status":"ok","timestamp":1568835421948,"user_tz":-180,"elapsed":43874,"user":{"displayName":"Sariel Gilat","photoUrl":"","userId":"01352438547208519443"}},"colab":{"base_uri":"https://localhost:8080/","height":625}},"source":["f, ax = plt.subplots(figsize=(16, 3))\n","\n","df['main_agency'].value_counts().plot(kind='bar', ax=ax)\n","print(df['main_agency'].nunique())\n","print(df['Responsible Agency'].nunique())\n","\n","print(df[df['main_agency']=='Other'].shape[0])\n","ax.set_title('Agency with more than 1000 events')\n","df['main_agency'].value_counts().tail()\n"],"execution_count":0,"outputs":[{"output_type":"stream","text":["42\n","248\n","25615\n"],"name":"stdout"},{"output_type":"execute_result","data":{"text/plain":["RPD Park Service Area 2 Queue    1278\n","DBI Inspection Services Queue    1213\n","RPD Park Service Area 1 Queue    1082\n","DPW BUF Queue                    1055\n","RPD Park Service Area 3 Queue    1036\n","Name: main_agency, dtype: int64"]},"metadata":{"tags":[]},"execution_count":104},{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA7sAAAHHCAYAAAB+5U9lAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nZtZ3XNk1MzMzMzOzvjNiZVfS0ZLulnRlJe0ASbdJuixPr6289glJ8yRdJ2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2E5FyqhCy9/6uVSJqfS+T+pHYbm28jrMa3WPp9cAS/VIXxp4DHhvjZil9tMSeS1xLt3672nI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D3pMWId5F2eea33bSFib6RtJgb2G90rMpnyg8AlgV+aPuWfH1TYKLtbm3OwhDIm06PAVeT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\nAADLUXYBAABYjrILAADAcpRdAAAAlvMNShl78yl0U0AAAAAASUVORK5CYII=\n","text/plain":["<Figure size 1152x216 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"mMwj_v22X1Ov","colab_type":"text"},"source":["### By absorbing the nan values we can understand which column could be a good candidate for feature engineering. "]},{"cell_type":"code","metadata":{"id":"AXbkNR0clFsH","colab_type":"code","outputId":"1d34f6c8-8ff7-49dc-9ff1-e52c5fe03c9b","executionInfo":{"status":"ok","timestamp":1568835422790,"user_tz":-180,"elapsed":44707,"user":{"displayName":"Sariel Gilat","photoUrl":"","userId":"01352438547208519443"}},"colab":{"base_uri":"https://localhost:8080/","height":391}},"source":[" df.isna().sum()"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["CaseID                      0\n","Opened                      0\n","Closed                  14757\n","Updated                     0\n","Status                      0\n","Status Notes           154022\n","Responsible Agency          0\n","Category                    0\n","Request Type                0\n","Request Details          7204\n","Address                     1\n","Street                  25027\n","Supervisor District     25026\n","Neighborhood            26075\n","Police District         26301\n","Latitude                    0\n","Longitude                   0\n","Point                       0\n","Source                      0\n","Media URL              316964\n","main_agency                 0\n","dtype: int64"]},"metadata":{"tags":[]},"execution_count":105}]},{"cell_type":"markdown","metadata":{"id":"bz82S3A7NNN8","colab_type":"text"},"source":["### Which categories are usually closed? "]},{"cell_type":"code","metadata":{"id":"EJ2gvfmofqiN","colab_type":"code","outputId":"d0b52f6c-d525-4c30-aacc-dd680eebf3d6","executionInfo":{"status":"ok","timestamp":1568837312841,"user_tz":-180,"elapsed":4549,"user":{"displayName":"Sariel Gilat","photoUrl":"","userId":"01352438547208519443"}},"colab":{"base_uri":"https://localhost:8080/","height":445}},"source":["f, ax = plt.subplots(figsize=(16, 3))\n","\n","df[df['Status'] != 'Closed']['Category'].value_counts().plot(kind='bar', ax=ax)"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 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Me44YGdg3/L92Mb2t0o6ikzEdGtE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\n","text/plain":["<Figure size 1152x216 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"w_U51veQYC-s","colab_type":"text"},"source":["### Are there typical 311's for different hours? what are the most common hours civilians call 311? lets check..."]},{"cell_type":"code","metadata":{"id":"BYtZJj-4f-8Y","colab_type":"code","colab":{}},"source":["df['Opened_date'] = pd.to_datetime(df['Opened'])\n","df['Opened_hour'] = df['Opened_date'].dt.round(\"H\").dt.time\n"],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"m09L6xM4YZd1","colab_type":"text"},"source":["### Top 100 agencies sorted by opening case hours "]},{"cell_type":"code","metadata":{"id":"WyZGpyrX1k5A","colab_type":"code","colab":{}},"source":["agency_hour = df.groupby(['Opened_hour','main_agency']).agg({'Category':'count'}).Category.nlargest(100).sort_index()"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"8W3hV8uY1Gkd","colab_type":"code","outputId":"a5060fea-a5bb-4bd0-97ea-791c6a8bbec3","executionInfo":{"status":"ok","timestamp":1568835492329,"user_tz":-180,"elapsed":114216,"user":{"displayName":"Sariel Gilat","photoUrl":"","userId":"01352438547208519443"}},"colab":{"base_uri":"https://localhost:8080/","height":459}},"source":["agency_hour.head(24)"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Opened_hour  main_agency                      \n","00:00:00     DPW Ops Queue                         1578\n","01:00:00     DPW Ops Queue                         1023\n","05:00:00     Recology_Abandoned                    1262\n","06:00:00     DPW Ops Queue                         2064\n","             Recology_Abandoned                    2136\n","07:00:00     Clear Channel - Transit Queue          889\n","             DPT Abandoned Vehicles Work Queue     1002\n","             DPW Ops Queue                         7418\n","             Recology_Abandoned                    3795\n","08:00:00     Clear Channel - Transit Queue          879\n","             DPT Abandoned Vehicles Work Queue     2050\n","             DPW Ops Queue                        15741\n","             MUNI Work Queue                        816\n","             Other                                 1522\n","             Police - Homeless Concerns Queue       897\n","             Recology_Abandoned                    7199\n","09:00:00     Clear Channel - Transit Queue          911\n","             DPT Abandoned Vehicles Work Queue     2581\n","             DPW BSM Queue                          922\n","             DPW Ops Queue                        19893\n","             MUNI Work Queue                       1183\n","             Other                                 2148\n","             Police - Homeless Concerns Queue       991\n","             Recology_Abandoned                    9068\n","Name: Category, dtype: int64"]},"metadata":{"tags":[]},"execution_count":109}]},{"cell_type":"markdown","metadata":{"id":"We3YOKXgOJUs","colab_type":"text"},"source":["### Counting events per hour\n"]},{"cell_type":"code","metadata":{"id":"L9kkjnE9q680","colab_type":"code","outputId":"d3e21c37-1861-47e4-d82a-82747674743b","executionInfo":{"status":"ok","timestamp":1568835492329,"user_tz":-180,"elapsed":114206,"user":{"displayName":"Sariel Gilat","photoUrl":"","userId":"01352438547208519443"}},"colab":{"base_uri":"https://localhost:8080/","height":320}},"source":["df['Opened_hour'].value_counts().sort_index().plot(kind='bar')"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 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gG/Upt3TEDejd3jgA1SJ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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"id":"unwcj9Ya7EKr","colab_type":"code","outputId":"7955b0ad-0e6b-40f3-f57e-a09e9b520aa9","executionInfo":{"status":"ok","timestamp":1568835492330,"user_tz":-180,"elapsed":114197,"user":{"displayName":"Sariel Gilat","photoUrl":"","userId":"01352438547208519443"}},"colab":{"base_uri":"https://localhost:8080/","height":547}},"source":["df[df['Closed'].isna()].head()"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>CaseID</th>\n","      <th>Opened</th>\n","      <th>Closed</th>\n","      <th>Updated</th>\n","      <th>Status</th>\n","      <th>Status Notes</th>\n","      <th>Responsible Agency</th>\n","      <th>Category</th>\n","      <th>Request Type</th>\n","      <th>Request Details</th>\n","      <th>Address</th>\n","      <th>Street</th>\n","      <th>Supervisor District</th>\n","      <th>Neighborhood</th>\n","      <th>Police District</th>\n","      <th>Latitude</th>\n","      <th>Longitude</th>\n","      <th>Point</th>\n","      <th>Source</th>\n","      <th>Media URL</th>\n","      <th>main_agency</th>\n","      <th>Opened_date</th>\n","      <th>Opened_hour</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>123</th>\n","      <td>8445976</td>\n","      <td>12/30/2017 06:35:00 PM</td>\n","      <td>NaN</td>\n","      <td>05/29/2019 01:25:20 AM</td>\n","      <td>Open</td>\n","      <td>accepted</td>\n","      <td>DPW BSM Queue</td>\n","      <td>Sidewalk or Curb</td>\n","      <td>Missing_Side_Sewer_Vent_Cover</td>\n","      <td>Missing_Side_Sewer_Vent_Cover</td>\n","      <td>30 SPARTA ST, SAN FRANCISCO, CA, 94134</td>\n","      <td>SPARTA ST</td>\n","      <td>10.0</td>\n","      <td>Visitacion Valley</td>\n","      <td>INGLESIDE</td>\n","      <td>37.717749</td>\n","      <td>-122.403928</td>\n","      <td>(37.7177489, -122.4039284)</td>\n","      <td>Web</td>\n","      <td>NaN</td>\n","      <td>DPW BSM Queue</td>\n","      <td>2017-12-30 18:35:00</td>\n","      <td>19:00:00</td>\n","    </tr>\n","    <tr>\n","      <th>288</th>\n","      <td>8445538</td>\n","      <td>12/30/2017 03:22:00 PM</td>\n","      <td>NaN</td>\n","      <td>12/30/2017 03:55:03 PM</td>\n","      <td>Open</td>\n","      <td>accepted</td>\n","      <td>DPW BUF Queue</td>\n","      <td>Tree Maintenance</td>\n","      <td>Trees - Landscaping</td>\n","      <td>Sprinkler_system_issues</td>\n","      <td>Intersection of VERMONT ST and 20TH ST</td>\n","      <td>VERMONT ST</td>\n","      <td>10.0</td>\n","      <td>Potrero Hill</td>\n","      <td>BAYVIEW</td>\n","      <td>37.759560</td>\n","      <td>-122.404007</td>\n","      <td>(37.75955963, -122.40400696)</td>\n","      <td>Phone</td>\n","      <td>NaN</td>\n","      <td>DPW BUF Queue</td>\n","      <td>2017-12-30 15:22:00</td>\n","      <td>15:00:00</td>\n","    </tr>\n","    <tr>\n","      <th>322</th>\n","      <td>8445444</td>\n","      <td>12/30/2017 02:55:00 PM</td>\n","      <td>NaN</td>\n","      <td>01/05/2018 09:00:03 AM</td>\n","      <td>Open</td>\n","      <td>accepted</td>\n","      <td>DPW Ops Queue</td>\n","      <td>Graffiti</td>\n","      <td>Graffiti on Building_other</td>\n","      <td>Building_other - Not_Offensive</td>\n","      <td>660 JACKSON ST, SAN FRANCISCO, CA, 94133</td>\n","      <td>JACKSON ST</td>\n","      <td>3.0</td>\n","      <td>Chinatown</td>\n","      <td>CENTRAL</td>\n","      <td>37.796200</td>\n","      <td>-122.406143</td>\n","      <td>(37.7961998, -122.40614319)</td>\n","      <td>Integrated Agency</td>\n","      <td>NaN</td>\n","      <td>DPW Ops Queue</td>\n","      <td>2017-12-30 14:55:00</td>\n","      <td>15:00:00</td>\n","    </tr>\n","    <tr>\n","      <th>323</th>\n","      <td>8445442</td>\n","      <td>12/30/2017 02:55:00 PM</td>\n","      <td>NaN</td>\n","      <td>01/05/2018 10:30:03 AM</td>\n","      <td>Open</td>\n","      <td>accepted</td>\n","      <td>DPW Ops Queue</td>\n","      <td>Graffiti</td>\n","      <td>Graffiti on Building_other</td>\n","      <td>Building_other - Not_Offensive</td>\n","      <td>4743 MISSION ST, SAN FRANCISCO, CA, 94112</td>\n","      <td>MISSION ST</td>\n","      <td>11.0</td>\n","      <td>Excelsior</td>\n","      <td>INGLESIDE</td>\n","      <td>37.722366</td>\n","      <td>-122.436340</td>\n","      <td>(37.72236633, -122.43634033)</td>\n","      <td>Integrated Agency</td>\n","      <td>NaN</td>\n","      <td>DPW Ops Queue</td>\n","      <td>2017-12-30 14:55:00</td>\n","      <td>15:00:00</td>\n","    </tr>\n","    <tr>\n","      <th>678</th>\n","      <td>8444503</td>\n","      <td>12/30/2017 10:27:00 AM</td>\n","      <td>NaN</td>\n","      <td>01/17/2018 10:20:06 AM</td>\n","      <td>Open</td>\n","      <td>accepted</td>\n","      <td>DPW Ops Queue</td>\n","      <td>Graffiti</td>\n","      <td>Graffiti on Building_other</td>\n","      <td>Building_other - Not_Offensive</td>\n","      <td>661 JACKSON ST, SAN FRANCISCO, CA, 94133</td>\n","      <td>JACKSON ST</td>\n","      <td>3.0</td>\n","      <td>Chinatown</td>\n","      <td>CENTRAL</td>\n","      <td>37.795994</td>\n","      <td>-122.406097</td>\n","      <td>(37.7959938, -122.40609741)</td>\n","      <td>Integrated Agency</td>\n","      <td>NaN</td>\n","      <td>DPW Ops Queue</td>\n","      <td>2017-12-30 10:27:00</td>\n","      <td>10:00:00</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["      CaseID                  Opened  ...         Opened_date Opened_hour\n","123  8445976  12/30/2017 06:35:00 PM  ... 2017-12-30 18:35:00    19:00:00\n","288  8445538  12/30/2017 03:22:00 PM  ... 2017-12-30 15:22:00    15:00:00\n","322  8445444  12/30/2017 02:55:00 PM  ... 2017-12-30 14:55:00    15:00:00\n","323  8445442  12/30/2017 02:55:00 PM  ... 2017-12-30 14:55:00    15:00:00\n","678  8444503  12/30/2017 10:27:00 AM  ... 2017-12-30 10:27:00    10:00:00\n","\n","[5 rows x 23 columns]"]},"metadata":{"tags":[]},"execution_count":111}]},{"cell_type":"markdown","metadata":{"id":"zJzgyGRdY52F","colab_type":"text"},"source":["### Understanding the relationship between null discrict to Responsible Agency by plotting the top 25 agencies.  "]},{"cell_type":"code","metadata":{"id":"sX5_B5QT2vHh","colab_type":"code","outputId":"7790b6f8-9750-4ab3-b280-e1fbf2977c4f","executionInfo":{"status":"ok","timestamp":1568835492907,"user_tz":-180,"elapsed":114764,"user":{"displayName":"Sariel Gilat","photoUrl":"","userId":"01352438547208519443"}},"colab":{"base_uri":"https://localhost:8080/","height":456}},"source":["f, ax = plt.subplots(figsize=(16, 3))\n","\n","df[df['Police District'].isna()]['Responsible Agency'].value_counts().nlargest(25).plot(kind= 'bar',ax=ax)"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 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McAb//GwI/55G+xx2DL5PZfs/YRl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\n","text/plain":["<Figure size 1152x216 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"id":"kNJ-UHgr3kfk","colab_type":"code","outputId":"f225656c-aded-47f0-9103-1aacff36ea32","executionInfo":{"status":"ok","timestamp":1568835493571,"user_tz":-180,"elapsed":115416,"user":{"displayName":"Sariel Gilat","photoUrl":"","userId":"01352438547208519443"}},"colab":{"base_uri":"https://localhost:8080/","height":476}},"source":["f, ax = plt.subplots(figsize=(16, 3))\n","\n","df['Responsible Agency'].value_counts().nlargest(25).plot(kind= 'bar',ax=ax)"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 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sifDeh939XlRbSbb2n4t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NXiv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\nwsoYJqUQr0DM2P/B9lOZz39DUz4i6QfAPb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kj4STga3RLl8/tK3Q/DDjRMCKc2ZXGQJKv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\nrgAAAABJRU5ErkJggg==\n","text/plain":["<Figure size 1152x216 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"9K-INZuico3X","colab_type":"text"},"source":["### We can see that the \"Updated\" time and the \"Closed\" time are equal when \"Closed\" time is not null. \n","\n","### the \"Handling\" time is the time passed between the \"Updated\" and the \"Opened\" columns. It could be a good feature, but it might be also a data leak between input and output (knowing that the \"Handling\" time indicates that the request was already handled).\n","\n","#### (spoiler alert: the metadata wasn't so important - but it might be, with better architecture)."]},{"cell_type":"code","metadata":{"id":"y2RXUhs_qIJZ","colab_type":"code","colab":{}},"source":["df['Handling_time'] = (pd.to_datetime(df['Updated']) - pd.to_datetime(df['Opened'])).astype('timedelta64[h]')"],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"L9WTtt3F_fiJ","colab_type":"text"},"source":["We are dealing with 2017's data - an \"Updated\" time later to the year of 2017 should get the max time which is 1 year in hours. "]},{"cell_type":"code","metadata":{"id":"5B6Z-FBl_GT5","colab_type":"code","colab":{}},"source":["df['Handling_time'] = np.where(df['Handling_time']>=8760, 8760, df['Handling_time'])"],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"p96g0Uj3z0Rm","colab_type":"text"},"source":["### Scaling the time between \"Opened\" and \"Updated\". "]},{"cell_type":"code","metadata":{"id":"n6-G5cAv5pT5","colab_type":"code","colab":{}},"source":["scaler = MinMaxScaler()\n","handling_time_scaled = pd.DataFrame(scaler.fit_transform(df[['Handling_time']]))"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"N3HBdtEmHoA0","colab_type":"code","outputId":"b40dfe2e-77b6-4efb-acc4-54bed62ae7b2","executionInfo":{"status":"ok","timestamp":1568835802381,"user_tz":-180,"elapsed":139308,"user":{"displayName":"Sariel Gilat","photoUrl":"","userId":"01352438547208519443"}},"colab":{"base_uri":"https://localhost:8080/","height":315}},"source":["handling_time_scaled.hist()"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7fb6fc79cb70>]],\n","      dtype=object)"]},"metadata":{"tags":[]},"execution_count":119},{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAY0AAAEICAYAAACj2qi6AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"id":"uaftWZbzDstw","colab_type":"code","colab":{}},"source":["def standardize_text(df, text_field):\n","    df[text_field] = df[text_field].str.replace(r'[.|,|)|(|\\|/]',' ')\n","    df[text_field] = df[text_field].str.replace(r'[?|_|;|!|\\'|\"|#|-]',' ')\n","    df[text_field] = df[text_field].str.replace(\"\\n\",\" \")\n","    df[text_field] = df[text_field].str.replace(\"\\d+\", \"\")\n","    df[text_field] = df[text_field].str.replace(r\"@\", \"at\")\n","    df[text_field] = df[text_field].str.lower()\n","    return df"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"Q7L4Y_2OT22a","colab_type":"code","colab":{}},"source":["standardize_coulmns = ['Status Notes','Category',\t'Request Type',\t'Request Details']\n","for i in standardize_coulmns:\n","  df = standardize_text(df, i)\n","  \n","df.head()"],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"jeGVz4YD_2sC","colab_type":"text"},"source":["### Creating a dataframe with the features shown above."]},{"cell_type":"code","metadata":{"id":"XcAgtozYBOhg","colab_type":"code","colab":{}},"source":["df_feature = pd.DataFrame()\n","df_feature['Supervisor District'] = df['Supervisor District'].fillna(-1) # there are some non realated districts \n","df_feature['case_stat'] = pd.get_dummies(df['Status'],drop_first=True)\n","df_feature['Opened_hour'] = df['Opened'].apply(lambda x: int(x[10:13])/24)\n","df_feature['text'] = df['Status Notes'].fillna('').astype(str) + ' '+ df['Category'].astype(str) +' '+\tdf['Request Type'].astype(str)+' '+df['Request Details'].astype(str)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"wfRP6Mwhwc6I","colab_type":"code","colab":{}},"source":["tokenizer = RegexpTokenizer(r'\\w+')\n","stop_words = set(stopwords.words('english'))\n","\n","re_stop_words = re.compile(r\"\\b(\" + \"|\".join(stop_words) + \")\\\\W\", re.I)\n","\n","def removeStopWords(sentence):\n","    global re_stop_words\n","    return re_stop_words.sub(\" \", sentence)\n","  \n","stemmer = SnowballStemmer(\"english\")\n","def stemming(sentence):\n","    stemSentence = \"\"\n","    for word in sentence.split():\n","        stem = stemmer.stem(word)\n","        stemSentence += stem\n","        stemSentence += \" \"\n","    stemSentence = stemSentence.strip()\n","    return stemSentence\n","df_feature['text'] = df_feature['text'].apply(removeStopWords)\n","df_feature['text'] = df_feature['text'].apply(stemming)\n","df_feature['text'] = df_feature['text'].apply(tokenizer.tokenize)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"GBVocWxxJqhH","colab_type":"code","outputId":"54602a28-6574-46ef-d332-653f8d217d27","executionInfo":{"status":"ok","timestamp":1568835981120,"user_tz":-180,"elapsed":317991,"user":{"displayName":"Sariel Gilat","photoUrl":"","userId":"01352438547208519443"}},"colab":{"base_uri":"https://localhost:8080/","height":71}},"source":["word2vec = models.KeyedVectors.load_word2vec_format(\n","    'GoogleNews-vectors-negative300.bin.gz', binary=True)"],"execution_count":0,"outputs":[{"output_type":"stream","text":["/usr/local/lib/python3.6/dist-packages/smart_open/smart_open_lib.py:398: UserWarning: This function is deprecated, use smart_open.open instead. See the migration notes for details: https://github.com/RaRe-Technologies/smart_open/blob/master/README.rst#migrating-to-the-new-open-function\n","  'See the migration notes for details: %s' % _MIGRATION_NOTES_URL\n"],"name":"stderr"}]},{"cell_type":"code","metadata":{"id":"PorlanAx-lt7","colab_type":"code","colab":{}},"source":["def get_average_word2vec(tokens_list, vector, generate_missing=False, k=300):\n","    if len(tokens_list)<1:\n","        return np.zeros(k)\n","    if generate_missing:\n","        vectorized = [vector[word] if word in vector else np.random.rand(k) for word in tokens_list]\n","    else:\n","        vectorized = [vector[word] if word in vector else np.zeros(k) for word in tokens_list]\n","    length = len(vectorized)\n","    summed = np.sum(vectorized, axis=0)\n","    averaged = np.divide(summed, length)\n","    return averaged\n","\n","def get_word2vec_embeddings(vectors, clean_questions, generate_missing=False):\n","    embeddings = df_feature['text'].apply(lambda x: get_average_word2vec(x, vectors, \n","                                                                                generate_missing=generate_missing))\n","    return list(embeddings)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"pUdlz57DBADQ","colab_type":"code","colab":{}},"source":["embeddings = get_word2vec_embeddings(word2vec, df_feature['text'])"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"PBv5SjWLBmHv","colab_type":"code","colab":{}},"source":["all_words = [word for tokens in df_feature['text'] for word in tokens]\n","VOCAB = sorted(list(set(all_words)))"],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"MZ4TZA2gwnac","colab_type":"text"},"source":["### We can use LabelBinarizer before the train, test split because there is a limited amount of categories and departments.\n","\n","### A better approach would be Cat2vec to capture the sentiment of each category and department so an event of misclassification could yield relevant results.\n","#### Please find link below:\n","https://blog.myyellowroad.com/using-categorical-data-in-machine-learning-with-python-from-dummy-variables-to-deep-category-42fd0a43b009"]},{"cell_type":"code","metadata":{"id":"_yXVg2zAIQSd","colab_type":"code","colab":{}},"source":["lb_M_Agency = LabelBinarizer().fit(df['main_agency'])\n","lb_R_Agency = LabelBinarizer().fit(df['Responsible Agency'])"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"qHIeC5TjBK9y","colab_type":"code","outputId":"72546789-2453-4ec5-8585-f0501ce5e8d7","executionInfo":{"status":"ok","timestamp":1568836012984,"user_tz":-180,"elapsed":349787,"user":{"displayName":"Sariel Gilat","photoUrl":"","userId":"01352438547208519443"}},"colab":{"base_uri":"https://localhost:8080/","height":51}},"source":["EMBEDDING_DIM = 300\n","MAX_SEQUENCE_LENGTH = 35\n","VOCAB_SIZE = len(VOCAB)\n","\n","tokenizer = Tokenizer(num_words=VOCAB_SIZE)\n","tokenizer.fit_on_texts(df_feature['text'].tolist())\n","sequences = tokenizer.texts_to_sequences(df_feature['text'].tolist())\n","\n","word_index = tokenizer.word_index\n","print('Found %s unique tokens.' % len(word_index))\n","\n","cnn_data = pad_sequences(sequences, maxlen=MAX_SEQUENCE_LENGTH)\n","\n","labels_alt = lb_M_Agency.transform(df['main_agency'])\n","labels = lb_R_Agency.transform(df['Responsible Agency'])\n","\n","embedding_weights = np.zeros((len(word_index)+1, EMBEDDING_DIM))\n","for word,index in word_index.items():\n","    embedding_weights[index,:] = word2vec[word] if word in word2vec else np.random.rand(EMBEDDING_DIM)\n","print(embedding_weights.shape)"],"execution_count":0,"outputs":[{"output_type":"stream","text":["Found 18878 unique tokens.\n","(18879, 300)\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"Kc7m682hCS-x","colab_type":"text"},"source":["### For the models to include the metadata, we need to add the text data."]},{"cell_type":"code","metadata":{"id":"TPBefIUkdEz9","colab_type":"code","colab":{}},"source":["df_feature['text'] = cnn_data.tolist()"],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"ULKW87cCKnu5","colab_type":"text"},"source":["### The first model will work only on the text column."]},{"cell_type":"code","metadata":{"id":"cI8OK9E_FA_3","colab_type":"code","colab":{}},"source":["def ConvNet1(embeddings, max_sequence_length, num_words, embedding_dim, labels_index, trainable=False, extra_conv=True):\n","    \n","    embedding_layer = Embedding(num_words,\n","                            embedding_dim,\n","                            weights=[embeddings],\n","                            input_length=max_sequence_length,\n","                            trainable=trainable)\n","    \n","    model = Sequential()    \n","    main_input = model.add(embedding_layer)\n","    model.add(Conv1D(filters=128, kernel_size=3, activation='relu'))\n","    model.add(Dropout(0.2))\n","    model.add(GlobalMaxPool1D())\n","    model.add(Dense(10, activation='relu'))\n","\n","    model.add(Dense(64, activation='relu'))\n","    model.add(Dense(64, activation='relu'))\n","    model.add(Dropout(0.5))\n","    model.add(Dense(64, activation='relu'))\n","    main_output = model.add(Dense(labels_index, activation='softmax'))\n","\n","    model.compile(loss='categorical_crossentropy',\n","                  optimizer='adam',\n","                  metrics=['acc'])\n","\n","    return model"],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"-6_3iEJCMWAH","colab_type":"text"},"source":["### Second model combines metadata with the text column so we can try achieving better accuracy. "]},{"cell_type":"code","metadata":{"id":"y3fI96f1bUsW","colab_type":"code","colab":{}},"source":["def ConvNet2(embeddings, max_sequence_length, num_words, embedding_dim, labels_index, trainable=False, extra_conv=True):\n","    \n","    embedding_layer = Embedding(num_words,\n","                            embedding_dim,\n","                            weights=[embeddings],\n","                            input_length=max_sequence_length,\n","                            trainable=trainable)\n","\n","\n","    main_input = Input(shape=(max_sequence_length,), dtype='int32')\n","    embedded_sequences = embedding_layer(main_input)    \n","    l_conv = Conv1D(filters=128, kernel_size=3, activation='relu')(embedded_sequences)\n","    x = Dropout(0.2)(l_conv)\n","    x = GlobalMaxPool1D()(l_conv)\n","    x = Dense(10, activation='relu')(x)\n","    \n","    auxiliary_input = Input(shape=(3,))\n","    x = concatenate([x, auxiliary_input])\n","    x = Dense(64, activation='relu')(x)\n","    x = Dense(64, activation='relu')(x)\n","    x = Dropout(0.5)(x)\n","    x = Dense(64, activation='relu')(x)\n","\n","    main_output = Dense(labels_index, activation='softmax')(x)\n","\n","    model = Model(inputs=[main_input, auxiliary_input], outputs=[main_output])\n","\n","\n","    model.compile(loss='categorical_crossentropy',\n","                  optimizer='adam',\n","                  metrics=['acc'])\n","\n","    return model"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"nL_lr9rGFI0P","colab_type":"code","outputId":"66e1af3b-0e1f-42fd-f684-2d1bf521faad","executionInfo":{"status":"ok","timestamp":1568836194546,"user_tz":-180,"elapsed":531292,"user":{"displayName":"Sariel Gilat","photoUrl":"","userId":"01352438547208519443"}},"colab":{"base_uri":"https://localhost:8080/","height":374}},"source":["X_train, X_test, y_train, y_test = train_test_split(cnn_data, labels, test_size=0.2, \n","                                                                                random_state=40)\n","model = ConvNet1(embedding_weights, MAX_SEQUENCE_LENGTH, len(word_index)+1, EMBEDDING_DIM, \n","                labels.shape[1], False)\n","model.fit(X_train, y_train, epochs=10, batch_size=128)"],"execution_count":0,"outputs":[{"output_type":"stream","text":["Epoch 1/10\n","407420/407420 [==============================] - 19s 46us/step - loss: 0.6788 - acc: 0.8496\n","Epoch 2/10\n","407420/407420 [==============================] - 18s 43us/step - loss: 0.4358 - acc: 0.8965\n","Epoch 3/10\n","407420/407420 [==============================] - 18s 43us/step - loss: 0.3964 - acc: 0.9041\n","Epoch 4/10\n","407420/407420 [==============================] - 18s 44us/step - loss: 0.3750 - acc: 0.9090\n","Epoch 5/10\n","407420/407420 [==============================] - 18s 44us/step - loss: 0.3593 - acc: 0.9120\n","Epoch 6/10\n","407420/407420 [==============================] - 18s 44us/step - loss: 0.3472 - acc: 0.9148\n","Epoch 7/10\n","407420/407420 [==============================] - 18s 44us/step - loss: 0.3389 - acc: 0.9163\n","Epoch 8/10\n","407420/407420 [==============================] - 18s 44us/step - loss: 0.3332 - acc: 0.9178\n","Epoch 9/10\n","407420/407420 [==============================] - 18s 44us/step - loss: 0.3268 - acc: 0.9190\n","Epoch 10/10\n","407420/407420 [==============================] - 18s 43us/step - loss: 0.3207 - acc: 0.9204\n"],"name":"stdout"},{"output_type":"execute_result","data":{"text/plain":["<keras.callbacks.History at 0x7fb6d06635c0>"]},"metadata":{"tags":[]},"execution_count":133}]},{"cell_type":"code","metadata":{"id":"eJ1Pb6xWerlc","colab_type":"code","colab":{}},"source":[" X_train, X_test, y_train, y_test = train_test_split(df_feature, labels, test_size=0.2, \n","                                                                                random_state=40)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"9rVJIpr2eQOY","colab_type":"code","outputId":"ce457a7f-3e7d-4187-89a5-630159ebebcc","executionInfo":{"status":"ok","timestamp":1568836379248,"user_tz":-180,"elapsed":715976,"user":{"displayName":"Sariel Gilat","photoUrl":"","userId":"01352438547208519443"}},"colab":{"base_uri":"https://localhost:8080/","height":374}},"source":["model = ConvNet2(embedding_weights, MAX_SEQUENCE_LENGTH, len(word_index)+1, EMBEDDING_DIM, \n","                labels.shape[1], False)\n","model.fit([np.stack(X_train['text'].values), X_train.drop(columns='text')], y_train, epochs=10, batch_size=128)"],"execution_count":0,"outputs":[{"output_type":"stream","text":["Epoch 1/10\n","407420/407420 [==============================] - 19s 47us/step - loss: 0.6284 - acc: 0.8599\n","Epoch 2/10\n","407420/407420 [==============================] - 18s 44us/step - loss: 0.3963 - acc: 0.9048\n","Epoch 3/10\n","407420/407420 [==============================] - 18s 44us/step - loss: 0.3565 - acc: 0.9135\n","Epoch 4/10\n","407420/407420 [==============================] - 18s 43us/step - loss: 0.3325 - acc: 0.9185\n","Epoch 5/10\n","407420/407420 [==============================] - 18s 44us/step - loss: 0.3170 - acc: 0.9216\n","Epoch 6/10\n","407420/407420 [==============================] - 18s 44us/step - loss: 0.3053 - acc: 0.9239\n","Epoch 7/10\n","407420/407420 [==============================] - 18s 45us/step - loss: 0.2958 - acc: 0.9260\n","Epoch 8/10\n","407420/407420 [==============================] - 18s 44us/step - loss: 0.2888 - acc: 0.9275\n","Epoch 9/10\n","407420/407420 [==============================] - 18s 44us/step - loss: 0.2826 - acc: 0.9293\n","Epoch 10/10\n","407420/407420 [==============================] - 18s 44us/step - loss: 0.2770 - acc: 0.9305\n"],"name":"stdout"},{"output_type":"execute_result","data":{"text/plain":["<keras.callbacks.History at 0x7fb6e70396a0>"]},"metadata":{"tags":[]},"execution_count":135}]},{"cell_type":"code","metadata":{"id":"jbfjLFnfm4LN","colab_type":"code","outputId":"a4c82970-8a2e-471f-b784-74725d8939e6","executionInfo":{"status":"ok","timestamp":1568836388222,"user_tz":-180,"elapsed":724941,"user":{"displayName":"Sariel Gilat","photoUrl":"","userId":"01352438547208519443"}},"colab":{"base_uri":"https://localhost:8080/","height":1000}},"source":["y_pred = model.predict([np.stack(X_test['text'].values), X_test.drop(columns='text')])\n","y_pred_transform = lb_R_Agency.inverse_transform(y_pred)\n","y_test_transform = lb_R_Agency.inverse_transform(y_test)\n","print('classification_report')\n","print(classification_report(y_test_transform,y_pred_transform))"],"execution_count":0,"outputs":[{"output_type":"stream","text":["classification_report\n"],"name":"stdout"},{"output_type":"stream","text":["/usr/local/lib/python3.6/dist-packages/sklearn/metrics/classification.py:1437: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n","  'precision', 'predicted', average, warn_for)\n","/usr/local/lib/python3.6/dist-packages/sklearn/metrics/classification.py:1439: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n","  'recall', 'true', average, warn_for)\n"],"name":"stderr"},{"output_type":"stream","text":["                                                               precision    recall  f1-score   support\n","\n","                             311 Escalated KB Questions Queue       0.00      0.00      0.00         1\n","                                  311 Escalation Review Queue       0.80      0.89      0.84        18\n","                                            311 Manager Queue       0.00      0.00      0.00        15\n","                                    311 Service Request Queue       0.67      0.76      0.71       147\n","                             311 Service Request Queue - Hold       0.81      0.92      0.86       368\n","                                         311 Supervisor Queue       0.74      0.58      0.65      1964\n","                                    AT and T - Graffiti Queue       0.91      0.96      0.93       439\n","                                 Aging and Adult Services - G       0.17      0.33      0.22         3\n","                     Airport, San Francisco International - G       0.00      0.00      0.00         4\n","                                  Animal Care and Control - G       0.97      0.80      0.88       188\n","                                           Art Commission - G       0.00      0.00      0.00        11\n","                                             Assessor - Admin       0.63      0.94      0.76        36\n","                        Assessor - Business Personal Property       0.00      0.00      0.00         5\n","                                    Assessor - Public Service       0.48      0.88      0.62        49\n","                                     Assessor - Real Property       0.00      0.00      0.00        26\n","                                 Assessor - Recorder Division       0.00      0.00      0.00         2\n","                                      Assessor - Transactions       0.00      0.00      0.00        13\n","                Board of Supervisors - Clerk of the Board - G       0.38      0.83      0.53         6\n","                        Board of Supervisors - District 3 - G       0.00      0.00      0.00         1\n","                        Board of Supervisors - District 5 - G       0.00      0.00      0.00         1\n","                        Board of Supervisors - District 6 - G       0.00      0.00      0.00         1\n","                             Children, Youth and Families - G       0.00      0.00      0.00         2\n","               City Administrator/General Services Agency - G       0.00      0.00      0.00         4\n","                            City Hall Building Management - G       0.00      0.00      0.00         5\n","                                         City Hall Events - G       0.00      0.00      0.00         0\n","                                Clear Channel - Transit Queue       0.99      0.96      0.97      2205\n","                                  Contract Administration - G       0.00      0.00      0.00         4\n","                                               Controller - G       0.00      0.00      0.00         1\n","                                    Convention Facilities - G       0.00      0.00      0.00         0\n","                                             County Clerk - G       0.98      1.00      0.99       739\n","                                             DBI - Others - G       0.00      0.00      0.00        14\n","                                            DBI - Permits - G       0.00      0.00      0.00         2\n","                                DBI Building Inspection Queue       0.96      0.68      0.80       103\n","                              DBI Electrical Inspection Queue       0.00      0.00      0.00         6\n","                                 DBI Housing Inspection Queue       0.97      0.96      0.96       179\n","                                DBI Inspection Services Queue       0.72      0.94      0.82       236\n","                                    DBI Permit Services Queue       1.00      0.04      0.08        24\n","                                DBI Plumbing Inspection Queue       0.00      0.00      0.00         2\n","                                    DBI Public Services Queue       0.00      0.00      0.00         2\n","                                   DBI Support Services Queue       0.32      0.24      0.28        45\n","                               DPH - Environmental Health - G       0.95      0.95      0.95       575\n","                        DPH - Environmental Health - G - Hold       0.00      0.00      0.00         2\n","                  DPH - Environmental Health - HazWaste Queue       0.00      0.00      0.00        15\n","                     DPH - Environmental Health - Noise Queue       0.98      0.75      0.85        59\n","                   DPH - Environmental Health - Tobacco Queue       0.73      0.62      0.67        13\n","                            DPH - Homeless Outreach Team  - G       0.00      0.00      0.00         5\n","                            DPH - Office of Vital Records - G       0.57      1.00      0.73        28\n","                                              DPH - Other - G       0.43      0.45      0.44        22\n","                                            DPT - Bicycle - G       0.00      0.00      0.00        17\n","                                         DPT - Color Curb - G       0.76      0.78      0.77        87\n","                               DPT - Construction Permits - G       0.98      0.98      0.98        84\n","                                             DPT - Meters - G       0.62      0.67      0.64        12\n","                                              DPT - Other - G       0.77      0.89      0.82       298\n","                                       DPT - Other - G - Hold       0.00      0.00      0.00         1\n","                                          DPT - Sign Shop - G       0.00      0.00      0.00         5\n","                                     DPT - Traffic Signal - G       0.00      0.00      0.00        48\n","               DPT Abandoned Vehicles Callback Requests Queue       0.00      0.00      0.00         1\n","                            DPT Abandoned Vehicles Work Queue       0.99      0.99      0.99      5920\n","                                         DPT Color Curb Queue       0.97      0.98      0.98       349\n","                          DPT Construction Zone Permits Queue       0.99      0.99      0.99       182\n","                                         DPT Meter_Bike Queue       0.99      1.00      1.00      1628\n","                                    DPT Paint Shop Curb Queue       0.54      0.26      0.35        76\n","                                DPT Paint Shop Pavement Queue       0.00      0.00      0.00         3\n","                                         DPT Paint Shop Queue       0.47      0.60      0.53       135\n","                                 DPT Paint Shop Transit Queue       0.00      0.00      0.00        19\n","                                        DPT SignShop 01 Queue       0.92      0.70      0.79        86\n","                                        DPT SignShop 02 Queue       0.79      0.66      0.72       101\n","                                        DPT SignShop 03 Queue       0.69      0.78      0.74        96\n","                                        DPT SignShop 04 Queue       0.91      0.54      0.68        79\n","                                        DPT SignShop 05 Queue       0.62      0.75      0.68       304\n","                                        DPT SignShop 06 Queue       0.40      0.02      0.04        97\n","                                        DPT SignShop 07 Queue       0.79      0.54      0.64        82\n","                                        DPT SignShop 08 Queue       0.54      0.70      0.61       141\n","                                        DPT SignShop 09 Queue       0.13      0.19      0.15        59\n","                                        DPT SignShop 10 Queue       0.15      0.11      0.12        66\n","                                        DPT SignShop 11 Queue       0.00      0.00      0.00        40\n","                                           DPT SignShop Queue       0.00      0.00      0.00         3\n","                                    DPT SignShop Repair Queue       0.00      0.00      0.00         9\n","              DPT SignShop Survey Tech - Anthony Alonzo Queue       0.92      0.79      0.85        43\n","             DPT SignShop Survey Tech - Dave McLaughlin Queue       0.00      0.00      0.00         4\n","               DPT SignShop Survey Tech - Sean Philpott Queue       0.00      0.00      0.00         3\n","           DPT SignShop Survey Tech - Winston Parkhurst Queue       0.00      0.00      0.00         3\n","                         DPT SignShop Surveyed - Area 1 Queue       0.27      0.38      0.32       119\n","                         DPT SignShop Surveyed - Area 2 Queue       0.92      0.91      0.92       314\n","                                   DPT SignShop Unknown Queue       0.00      0.00      0.00         6\n","                                             DPT Signal Queue       0.82      0.86      0.84       335\n","                              DPW - Bureau of Building Repair       0.00      0.00      0.00         4\n","            DPW - Bureau of Street Environmental Services - G       0.72      0.76      0.74       482\n","                   DPW - Bureau of Street Use and Mapping - G       0.66      0.51      0.57       255\n","                  DPW - Bureau of Street and Sewer Repair - G       0.42      0.86      0.56        28\n","                           DPW - Bureau of Urban Forestry - G       0.00      0.00      0.00         8\n","                                              DPW - Other - G       0.00      0.00      0.00         4\n","                                       DPW - Other - G - Hold       0.00      0.00      0.00         1\n","                                                DPW BSM Queue       0.89      0.91      0.90      2552\n","                                               DPW BSSR Queue       0.66      0.92      0.77       980\n","                                                DPW BUF Queue       0.91      0.50      0.64       214\n","                                                DPW IDC Queue       0.31      0.37      0.34       137\n","                                                DPW Ops Queue       0.96      0.98      0.97     41376\n","                                        District Attorney - G       0.00      0.00      0.00         9\n","                    District Attorney - Victim Services Queue       0.82      1.00      0.90         9\n","                                                Elections - G       0.00      0.00      0.00         4\n","                                 Entertainment Commission - G       0.73      0.97      0.83        59\n","                                              Environment - G       0.00      0.00      0.00         3\n","                                          Film Commission - G       0.00      0.00      0.00         3\n","                                          Fire Department - G       0.00      0.00      0.00         3\n","                          Graffiti Abatement - Internal Queue       0.50      0.95      0.65        83\n","                                    HSA - Food Assistance - G       0.00      0.00      0.00         2\n","                               HSA - Housing and Homeless - G       0.00      0.00      0.00         6\n","                                              HSA - Other - G       0.00      0.00      0.00         4\n","                             HSA - Shelter Reservations Queue       0.00      0.00      0.00         1\n","                              HSA - Waitlist Complaints Queue       0.00      0.00      0.00         1\n","                                   Housing Authority SR Queue       1.00      0.99      0.99       447\n","                                          Human Resources - G       1.00      0.33      0.50         6\n","                                  Human Rights Commission - G       0.50      1.00      0.67         2\n","                                    Human Services Agency - G       0.00      0.00      0.00         1\n","                                          Knowledge Solutions       0.00      0.00      0.00         1\n","                              Labor Standards Enforcement - G       0.00      0.00      0.00         3\n","                                          Library, Public - G       0.00      0.00      0.00         3\n","                                              MUNI Work Queue       0.99      0.96      0.97      3233\n","                        Mayors Office of Criminal Justice - G       0.00      0.00      0.00         1\n","                   Mayors Office of Neighborhood Services - G       0.28      0.76      0.41        25\n","                              Mayors Office on Disability - G       0.00      0.00      0.00         5\n","                                 Mayors Office on Housing - G       0.00      0.00      0.00         5\n","                                         Medical Examiner - G       0.00      0.00      0.00         0\n","                                           Noise Report Queue       1.00      1.00      1.00       395\n","                            Office of Citizens Complaints - G       0.00      0.00      0.00         3\n","                                PG and E - Streetlights Queue       0.94      0.99      0.97       862\n","                                            PUC - Billing - G       0.00      0.00      0.00         2\n","                                     PUC - Electric/Power - G       0.53      0.71      0.61        14\n","                                              PUC - Other - G       0.00      0.00      0.00        11\n","                                              PUC - Sewer - G       1.00      0.33      0.50         9\n","                                              PUC - Water - G       0.89      0.80      0.84       745\n","                                 PUC - Water - Graffiti Queue       0.86      0.84      0.85       270\n","                   PUC - Water Waste - Customer Service Queue       0.00      0.00      0.00         1\n","                              PUC - Water Waste - Water Queue       0.00      0.00      0.00         2\n","                                   PUC Electric Service Queue       0.00      0.00      0.00         3\n","                                                PUC Sewer Ops       0.98      0.98      0.98      1651\n","                                       PUC Streetlights Queue       0.99      0.99      0.99       813\n","                                      PUC Water Quality Queue       0.76      0.96      0.85        46\n","                                                 Planning - G       0.56      0.79      0.65        47\n","                             Police - Homeless Concerns Queue       1.00      1.00      1.00      2378\n","                         Police Department Administration - G       0.22      0.44      0.30        18\n","                                           Port Authority - G       0.89      0.75      0.81       157\n","                Port Authority - Temporary Sign Request Queue       0.00      0.00      0.00         9\n","                                            RPD Capital Queue       0.00      0.00      0.00         8\n","                                  RPD Community Gardens Queue       0.00      0.00      0.00        12\n","                                                RPD GGP Queue       0.64      0.63      0.64       311\n","                                               RPD Golf Queue       0.00      0.00      0.00         8\n","                                           RPD Graffiti Queue       0.76      0.89      0.82        47\n","                                   RPD Leisure Services Queue       0.00      0.00      0.00         2\n","                                             RPD Marina Queue       0.00      0.00      0.00         1\n","                                                RPD NSA Queue       0.45      0.39      0.42       349\n","                                      RPD Natural Areas Queue       0.00      0.00      0.00        52\n","                                        RPD Park Patrol Queue       0.49      0.33      0.40       196\n","                                RPD Park Service Area 1 Queue       0.69      0.91      0.78       218\n","                                RPD Park Service Area 2 Queue       0.73      0.81      0.77       261\n","                                RPD Park Service Area 3 Queue       0.88      0.44      0.59       207\n","                                RPD Park Service Area 4 Queue       0.31      0.34      0.32       122\n","                                RPD Park Service Area 5 Queue       0.27      0.13      0.17       103\n","                                RPD Park Service Area 6 Queue       0.51      0.68      0.58       189\n","                                            RPD Permits Queue       0.00      0.00      0.00         1\n","                                     RPD Public Affairs Queue       0.00      0.00      0.00         5\n","                            RPD Recreation Registration Queue       0.00      0.00      0.00         1\n","                                   Real Estate Department - G       0.00      0.00      0.00         7\n","                                           Recology_Abandoned       0.99      1.00      0.99     16913\n","                                              Recology_Litter       0.92      0.66      0.77       563\n","                                               Recology_Noise       0.95      0.97      0.96        72\n","                                         Recology_Overflowing       0.98      0.98      0.98      1916\n","                                               Rent Board - G       0.00      0.00      0.00         5\n","                         SFFD Bureau of Fire Prevention Queue       1.00      0.89      0.94        38\n","                                             SFFD Other Queue       0.34      0.61      0.44        18\n","                                  SFFD Support Services Queue       0.00      0.00      0.00        10\n","                                SFMTA - Bicycle Sharing Queue       0.87      0.93      0.90        74\n","      SFMTA - Citations/Resident Parking Permits - Accounting       0.00      0.00      0.00         3\n","               SFMTA - Citations/Resident Parking Permits - G       0.65      0.61      0.63        84\n","                                                    SFMTA - G       0.75      0.62      0.68       130\n","                                         SFMTA - Hearings - G       0.00      0.00      0.00         2\n","                                SFMTA - Livable Streets Queue       0.33      0.66      0.44        86\n","                       SFMTA - Muni Questions/Suggestions - G       0.00      0.00      0.00         4\n","                           SFMTA - Muni System Feedback Queue       0.73      0.45      0.56       152\n","                             SFMTA - Off-Street Parking Queue       0.53      0.62      0.57        29\n","                              SFMTA - Parking Enforcement - G       0.86      0.93      0.89       668\n","                       SFMTA - Parking Enforcement - G - Hold       0.00      0.00      0.00         2\n","             SFMTA - Residential Parking Permit Program Queue       0.00      0.00      0.00         7\n","                                         SFMTA - SFpark Queue       0.00      0.00      0.00         9\n","                      SFMTA - Strategic Planning/Policy Queue       0.00      0.00      0.00         1\n","                           SFMTA - Temporary Sign Program - G       0.00      0.00      0.00         8\n","SFMTA - Temporary Sign Request Installation/Enforcement Queue       0.00      0.00      0.00         8\n","                SFMTA - Temporary Sign Request Printing Queue       0.00      0.00      0.00        13\n","                         SFMTA - Temporary Sign Request Queue       0.96      1.00      0.98       737\n","                                SFMTA - Traffic Calming Queue       0.00      0.00      0.00        41\n","                     SFMTA - Transportation Engineering Queue       0.67      0.08      0.14        25\n","                                        SFMTA - UPI/TDM Queue       0.14      0.05      0.07        22\n","                                     SSP - MTA Feedback Queue       0.90      0.96      0.93      1055\n","                               SSP - MTA Lost and Found Queue       0.00      0.00      0.00         3\n","                                       Short Term Rentals - G       0.00      0.00      0.00         6\n","                                           Small Business - G       0.00      0.00      0.00         2\n","                                   TAXI Complaints High Queue       0.00      0.00      0.00         1\n","                                 TAXI Complaints Normal Queue       0.00      0.00      0.00         7\n","                                               Technology - G       0.00      0.00      0.00         6\n","                         Technology Wifi Support/Feedback - G       0.89      0.89      0.89         9\n","                    Treasure Island Development Authority - G       0.00      0.00      0.00         2\n","                                           Triage - TTX Queue       0.00      0.00      0.00        14\n","                          US Postal Service Maintenance Queue       1.00      0.94      0.97      1169\n","\n","                                                     accuracy                           0.94    101855\n","                                                    macro avg       0.37      0.37      0.36    101855\n","                                                 weighted avg       0.93      0.94      0.93    101855\n","\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"gsoOTpaKyNID","colab_type":"text"},"source":["### Third model combines metadata with the text column (similar to modle No. 2) and is aiming to predict the smaller group of agencies \"main agency\" so we can achieve better accuracy. "]},{"cell_type":"code","metadata":{"id":"AIJ-26N9E9Ac","colab_type":"code","outputId":"98c22c7c-dd9c-45ef-bcba-6e143d5e90fb","executionInfo":{"status":"ok","timestamp":1568836577688,"user_tz":-180,"elapsed":914398,"user":{"displayName":"Sariel Gilat","photoUrl":"","userId":"01352438547208519443"}},"colab":{"base_uri":"https://localhost:8080/","height":1000}},"source":[" X_train, X_test, y_train, y_test = train_test_split(df_feature, labels_alt, test_size=0.2, \n","                                                                                random_state=40)\n","model = ConvNet2(embedding_weights, MAX_SEQUENCE_LENGTH, len(word_index)+1, EMBEDDING_DIM, \n","                labels_alt.shape[1], False)\n","model.fit([np.stack(X_train['text'].values), X_train.drop(columns='text')], y_train, epochs=10, batch_size=128)\n","y_pred = model.predict([np.stack(X_test['text'].values), X_test.drop(columns='text')])\n","y_pred_transform = lb_R_Agency.inverse_transform(y_pred)\n","y_test_transform = lb_R_Agency.inverse_transform(y_test)\n","print('classification_report')\n","print(classification_report(y_test_transform,y_pred_transform))"],"execution_count":0,"outputs":[{"output_type":"stream","text":["Epoch 1/10\n","407420/407420 [==============================] - 19s 46us/step - loss: 0.4911 - acc: 0.8762\n","Epoch 2/10\n","407420/407420 [==============================] - 18s 43us/step - loss: 0.2919 - acc: 0.9240\n","Epoch 3/10\n","407420/407420 [==============================] - 17s 43us/step - loss: 0.2577 - acc: 0.9327\n","Epoch 4/10\n","407420/407420 [==============================] - 17s 43us/step - loss: 0.2408 - acc: 0.9365\n","Epoch 5/10\n","407420/407420 [==============================] - 17s 43us/step - loss: 0.2293 - acc: 0.9392\n","Epoch 6/10\n","407420/407420 [==============================] - 18s 43us/step - loss: 0.2201 - acc: 0.9413\n","Epoch 7/10\n","407420/407420 [==============================] - 18s 44us/step - loss: 0.2133 - acc: 0.9433\n","Epoch 8/10\n","407420/407420 [==============================] - 18s 43us/step - loss: 0.2079 - acc: 0.9447\n","Epoch 9/10\n","407420/407420 [==============================] - 17s 43us/step - loss: 0.2031 - acc: 0.9459\n","Epoch 10/10\n","407420/407420 [==============================] - 17s 43us/step - loss: 0.2005 - acc: 0.9464\n","classification_report\n","                                                precision    recall  f1-score   support\n","\n","              311 Escalated KB Questions Queue       0.84      0.92      0.88       368\n","                   311 Escalation Review Queue       0.73      0.60      0.66      1964\n","                             311 Manager Queue       0.95      0.97      0.96       439\n","                      311 SSP Inbound QA Queue       0.99      0.96      0.97      2205\n","                     311 Service Request Queue       0.98      0.99      0.98       739\n","              311 Service Request Queue - Hold       0.94      0.92      0.93       236\n","                          311 Supervisor Queue       0.95      0.95      0.95       575\n","                     AT and T - Graffiti Queue       0.82      0.89      0.85       298\n","                  Aging and Adult Services - G       0.99      1.00      1.00      5920\n","      Airport, San Francisco International - G       0.98      0.97      0.97       349\n","                   Animal Care and Control - G       1.00      1.00      1.00      1628\n","            Animal Care and Control - G - Hold       0.86      0.71      0.78       304\n","                            Art Commission - G       0.93      0.92      0.92       314\n","                          Asian Art Museum - G       0.88      0.84      0.86       335\n","                              Assessor - Admin       0.72      0.81      0.76       482\n","         Assessor - Business Personal Property       0.58      0.70      0.64       255\n","                     Assessor - Public Service       0.91      0.89      0.90      2552\n","                      Assessor - Real Property       0.64      0.94      0.76       980\n","                  Assessor - Recorder Division       0.82      0.57      0.67       214\n","                       Assessor - Transactions       0.96      0.97      0.97     41376\n"," Board of Supervisors - Clerk of the Board - G       1.00      0.99      1.00       447\n","         Board of Supervisors - District 3 - G       0.99      0.95      0.97      3233\n","         Board of Supervisors - District 5 - G       1.00      0.99      1.00       395\n","         Board of Supervisors - District 6 - G       0.85      0.80      0.83      5161\n","         Board of Supervisors - District 7 - G       0.98      0.98      0.98       862\n","         Board of Supervisors - District 9 - G       0.89      0.80      0.84       745\n","                             Central Shops - G       0.87      0.83      0.85       270\n","                    Child Support Services - G       0.97      0.99      0.98      1651\n","              Children, Youth and Families - G       0.99      0.99      0.99       813\n","City Administrator/General Services Agency - G       1.00      1.00      1.00      2378\n","                             City Attorney - G       0.68      0.62      0.65       311\n","                              City College - G       0.49      0.62      0.54       349\n","             City Hall Building Management - G       0.80      0.82      0.81       218\n","                          City Hall Events - G       0.85      0.80      0.83       261\n","                 Clear Channel - Transit Queue       0.88      0.57      0.69       207\n","                   Contract Administration - G       0.99      0.99      0.99     16913\n","                                Controller - G       0.74      0.69      0.71       563\n","                     Convention Facilities - G       0.97      0.99      0.98      1916\n","                              County Clerk - G       0.89      0.94      0.92       668\n","                                Current Events       0.97      0.99      0.98       737\n","                              DBI - Others - G       0.90      0.96      0.92      1055\n","                             DBI - Permits - G       1.00      0.94      0.97      1169\n","\n","                                      accuracy                           0.95    101855\n","                                     macro avg       0.88      0.88      0.88    101855\n","                                  weighted avg       0.95      0.95      0.95    101855\n","\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"Dy5hSgQMzDuP","colab_type":"text"},"source":["### Forth model is applied to the text column (similar to model No. 1) aiming to predict the smaller group of agencies \"main agency\" with Random Forest - as requested in the instructions. It has surprisingly good results. "]},{"cell_type":"code","metadata":{"id":"OAJPDLbPeCMI","colab_type":"code","outputId":"2eb8ce4c-dc30-45b5-ee1e-5cc0be43f3b2","executionInfo":{"status":"ok","timestamp":1568836632682,"user_tz":-180,"elapsed":969383,"user":{"displayName":"Sariel Gilat","photoUrl":"","userId":"01352438547208519443"}},"colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["from sklearn.ensemble import RandomForestClassifier\n","\n","X_train_word2vec, X_test_word2vec, y_train, y_test = train_test_split(cnn_data, df['main_agency'], test_size=0.2, \n","                                                                                random_state=40)\n","forest = RandomForestClassifier(n_estimators = 100)\n","\n","print(\"Fitting a random forest to labeled training data...\")\n","forest = forest.fit(X_train_word2vec, y_train)"],"execution_count":0,"outputs":[{"output_type":"stream","text":["Fitting a random forest to labeled training data...\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"VcmRjgGEJ2s-","colab_type":"code","outputId":"2a5ce94f-24e3-4d19-de1b-acc0339be2dd","executionInfo":{"status":"ok","timestamp":1568836640182,"user_tz":-180,"elapsed":976874,"user":{"displayName":"Sariel Gilat","photoUrl":"","userId":"01352438547208519443"}},"colab":{"base_uri":"https://localhost:8080/","height":867}},"source":["y_predicted_word2vec = forest.predict(X_test_word2vec)\n","print('classification_report')\n","print(classification_report(y_test,y_predicted_word2vec))"],"execution_count":0,"outputs":[{"output_type":"stream","text":["classification_report\n","                                                   precision    recall  f1-score   support\n","\n","                 311 Service Request Queue - Hold       0.86      0.89      0.87       368\n","                             311 Supervisor Queue       0.77      0.49      0.60      1964\n","                        AT and T - Graffiti Queue       0.97      0.97      0.97       439\n","                    Clear Channel - Transit Queue       0.99      0.96      0.97      2205\n","                                 County Clerk - G       0.97      0.99      0.98       739\n","                    DBI Inspection Services Queue       0.92      0.92      0.92       236\n","                   DPH - Environmental Health - G       0.95      0.94      0.94       575\n","                                  DPT - Other - G       0.86      0.82      0.84       298\n","                DPT Abandoned Vehicles Work Queue       0.99      0.99      0.99      5920\n","                             DPT Color Curb Queue       0.98      0.98      0.98       349\n","                             DPT Meter_Bike Queue       1.00      0.99      1.00      1628\n","                            DPT SignShop 05 Queue       0.25      0.00      0.01       304\n","             DPT SignShop Surveyed - Area 2 Queue       0.91      0.88      0.90       314\n","                                 DPT Signal Queue       0.85      0.82      0.84       335\n","DPW - Bureau of Street Environmental Services - G       0.69      0.83      0.75       482\n","       DPW - Bureau of Street Use and Mapping - G       0.53      0.71      0.61       255\n","                                    DPW BSM Queue       0.85      0.86      0.85      2552\n","                                   DPW BSSR Queue       0.67      0.91      0.77       980\n","                                    DPW BUF Queue       0.88      0.53      0.66       214\n","                                    DPW Ops Queue       0.95      0.98      0.96     41376\n","                       Housing Authority SR Queue       1.00      0.99      1.00       447\n","                                  MUNI Work Queue       0.95      0.97      0.96      3233\n","                               Noise Report Queue       1.00      0.99      1.00       395\n","                                            Other       0.78      0.81      0.79      5161\n","                    PG and E - Streetlights Queue       0.97      0.95      0.96       862\n","                                  PUC - Water - G       0.91      0.78      0.84       745\n","                     PUC - Water - Graffiti Queue       0.86      0.84      0.85       270\n","                                    PUC Sewer Ops       0.98      0.99      0.98      1651\n","                           PUC Streetlights Queue       0.97      0.98      0.98       813\n","                 Police - Homeless Concerns Queue       1.00      0.99      0.99      2378\n","                                    RPD GGP Queue       0.52      0.56      0.54       311\n","                                    RPD NSA Queue       0.51      0.24      0.33       349\n","                    RPD Park Service Area 1 Queue       0.74      0.53      0.62       218\n","                    RPD Park Service Area 2 Queue       0.82      0.66      0.73       261\n","                    RPD Park Service Area 3 Queue       0.62      0.34      0.44       207\n","                               Recology_Abandoned       0.99      0.99      0.99     16913\n","                                  Recology_Litter       0.91      0.64      0.75       563\n","                             Recology_Overflowing       0.97      0.98      0.97      1916\n","                  SFMTA - Parking Enforcement - G       0.91      0.87      0.89       668\n","             SFMTA - Temporary Sign Request Queue       0.96      1.00      0.98       737\n","                         SSP - MTA Feedback Queue       0.94      0.83      0.88      1055\n","              US Postal Service Maintenance Queue       0.99      0.95      0.97      1169\n","\n","                                         accuracy                           0.94    101855\n","                                        macro avg       0.86      0.82      0.83    101855\n","                                     weighted avg       0.94      0.94      0.94    101855\n","\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"mTBF9haJKBe7","colab_type":"code","colab":{}},"source":[""],"execution_count":0,"outputs":[]}]}