├── README.md ├── Section 0. Introduction.ipynb ├── Section 1. Estimating model parameters.ipynb ├── Section 2. Model checking.ipynb ├── Section 3. Hierarchical modelling.ipynb ├── Section 4. Bayesian regression.ipynb ├── data └── hangout_chat_data.csv ├── graphics ├── Bayes Factor DAG.png ├── Neg Binomial Dag.png ├── Neg Binomial Hierarchal.png ├── Poisson-dag.png ├── cover.png ├── dag neg poisson gamma hyper.png ├── dag-bayes-factor.png ├── dag-partial-pooled-model.png ├── mcmc-animate.gif └── posterior-predictive-distribution.png └── styles └── custom.css /README.md: -------------------------------------------------------------------------------- 1 | # [Bayesian Modelling in Python](https://github.com/markdregan/Bayesian-Modelling-in-Python) 2 | 3 | ![Bayesian Modelling in Python](/graphics/cover.png) 4 | 5 | Welcome to "Bayesian Modelling in Python" - a tutorial for those interested in learning how to apply bayesian modelling techniques in python ([PYMC3](https://github.com/pymc-devs/pymc3)). This tutorial doesn't aim to be a bayesian statistics tutorial - but rather a programming cookbook for those who understand the fundamental of bayesian statistics and want to learn how to build bayesian models using python. The tutorial sections and topics can be seen below. 6 | 7 | ### Contents 8 | - [**Introduction**](http://nbviewer.ipython.org/github/markdregan/Bayesian-Modelling-in-Python/blob/master/Section%200.%20Introduction.ipynb) 9 | - Motivation for learning bayesian statistics 10 | - Loading and parsing Hangout chat data 11 | 12 | - [**Section 1: Estimating model parameters**](http://nbviewer.ipython.org/github/markdregan/Bayesian-Modelling-in-Python/blob/master/Section%201.%20Estimating%20model%20parameters.ipynb) 13 | - Frequentist technique for estimating parameters of a poisson model (Optimization routine) 14 | - Bayesian technique for estimating parameters of a poisson model (MCMC) 15 | 16 | - [**Section 2: Model checking & comparison**](http://nbviewer.ipython.org/github/markdregan/Bayesian-Modelling-in-Python/blob/master/Section%202.%20Model%20checking.ipynb) 17 | - Posterior predictive check 18 | - Bayes factor 19 | 20 | - [**Section 3: Hierarchal modeling**](http://nbviewer.ipython.org/github/markdregan/Bayesian-Modelling-in-Python/blob/master/Section%203.%20Hierarchical%20modelling.ipynb) 21 | - Model pooling (separate models) 22 | - Partial pooling (hierarchal models) 23 | - Shrinkage effect of partial pooling 24 | 25 | - [**Section 4: Bayesian regression**](http://nbviewer.ipython.org/github/markdregan/Bayesian-Modelling-in-Python/blob/master/Section%204.%20Bayesian%20regression.ipynb) 26 | - Bayesian fixed effects poisson regression 27 | - Bayesian mixed effects poisson regression 28 | 29 | - **Section 5: Bayesian survival analysis** 30 | - Survival model theory 31 | - Cox proportional hazard model 32 | - Aalen's additive hazard model 33 | 34 | - **Section 6: Bayesian A/B tests** 35 | - Bayesian test of proportions 36 | - Bayesian t-test (BEST) 37 | 38 | ### Motivation for learning bayesian statistics 39 | Statistics is a topic that never resonated with me throughout university. The frequentist techniques that we were taught (p-values etc) felt contrived and ultimately I turned my back on statistics as a topic that I wasn't interested in. 40 | 41 | That was until I stumbled upon Bayesian statistics - a branch to statistics quite different from the traditional frequentist statistics that most universities teach. I was inspired by a number of different publications, blogs & videos that I would highly recommend any newbies to bayesian stats to begin with. They include: 42 | - [Doing Bayesian Data Analysis](http://www.amazon.com/Doing-Bayesian-Analysis-Second-Edition/dp/0124058884/ref=dp_ob_title_bk) by John Kruschke 43 | - [Python port](https://github.com/aloctavodia/Doing_bayesian_data_analysis) of John Kruschke's examples by Osvaldo Martin 44 | - [Bayesian Methods for Hackers](https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers) provided me with a great source of inspiration to learn bayesian stats. In recognition of this influence, I've adopted the same visual styles as BMH. 45 | - [While My MCMC Gently Samples](http://twiecki.github.io/) blog by Thomas Wiecki 46 | - [Healthy Algorithms](http://healthyalgorithms.com/tag/pymc/) blog by Abraham Flaxman 47 | - [Scipy Tutorial 2014](https://github.com/fonnesbeck/scipy2014_tutorial) by Chris Fonnesbeck 48 | 49 | I created this tutorial in the hope that others find it useful and it helps them learn Bayesian techniques just like the above resources helped me. I hope you find it useful and I'd welcome any corrections/comments/contributions from the community. 50 | 51 | ### Note 52 | This tutorial is actively being worked on. I'm keen to get feedback and welcome ideas/contributions. 53 | -------------------------------------------------------------------------------- /Section 0. Introduction.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "markdown", 5 | "metadata": {}, 6 | "source": [ 7 | "## Bayesian Modelling in Python\n", 8 | "Mark Regan\n", 9 | "\n", 10 | "---\n", 11 | "\n", 12 | "### Section 0: Introduction\n", 13 | "Welcome to \"Bayesian Modelling in Python\" - a tutorial for those interested in learning Bayesian statistics in python. You can find a list of all tutorial section on the project's [homepage](https://github.com/markdregan/Hangout-with-PyMC3).\n", 14 | "\n", 15 | "Statistics is a topic that never resonated with me throughout my years in university. The frequentist techniques that we were taught (p-values etc) felt contrived and ultimately I turned my back on statistics as a topic that I wasn't interested in.\n", 16 | "\n", 17 | "That was until I stumbled upon Bayesian statistics - a branch to statistics quite different from the traditional frequentist statistics that most universities teach. I was inspired by a number of different publications, blogs & videos that I would highly recommend any newbies to Bayesian stats to begin with. They include:\n", 18 | "- [Doing Bayesian Data Analysis](http://www.amazon.com/Doing-Bayesian-Analysis-Second-Edition/dp/0124058884/ref=dp_ob_title_bk) by John Kruschke\n", 19 | "- [Python port](https://github.com/aloctavodia/Doing_Bayesian_data_analysis) of John Kruschke's examples by Osvaldo Martin\n", 20 | "- [Bayesian Methods for Hackers](https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers) provided me with a great source of inspiration to learn Bayesian stats. In recognition of this influence, I've adopted the same visual styles as BMH.\n", 21 | "- [While My MCMC Gently Samples](http://twiecki.github.io/) blog by Thomas Wiecki\n", 22 | "- [Healthy Algorithms](http://healthyalgorithms.com/tag/pymc/) blog by Abraham Flaxman\n", 23 | "- [Scipy Tutorial 2014](https://github.com/fonnesbeck/scipy2014_tutorial) by Chris Fonnesbeck\n", 24 | "\n", 25 | "I created this tutorial in the hope that others find it useful and it helps them learn Bayesian techniques just like the above resources helped me. I hope you find it useful and I'd welcome any corrections/comments/contributions from the community.\n", 26 | "\n", 27 | "---\n", 28 | "\n", 29 | "### Loading your Google Hangout chat data\n", 30 | "Throughout this tutorial, we will use a dataset containing all of my Google Hangout chat messages. I've removed the messages content and I've annonymized my friends names - but the rest of the dataset it unaltered.\n", 31 | "\n", 32 | "If you'd like to use your Hangout chat data whilst working through this tutorial, you can download your Google Hangout data from [Google Takeout](https://www.google.com/settings/takeout/custom/chat). The Hangout data is downloadable in json format. After downloading, you can replace the `hangouts.json` file in the data folder.\n", 33 | "\n", 34 | "The json file is heavily nested and contains a lot of redundant information. Some of the key fields are summarized below:\n", 35 | "\n", 36 | "| Field | Description | Example |\n", 37 | "|-----------------|----------------------------------------------------------------|----------------------------------------------|\n", 38 | "| `conversation_id` | Conversation id representing the chat thread | Ugw5Xrm3ZO5mzAfKB7V4AaABAQ |\n", 39 | "| `participants` | List of participants in the chat thread | [Mark, Peter, John] |\n", 40 | "| `event_id` | Id representing an event such as chat message or video hangout | 7-H0Z7-FkyB7-H0au2avdw |\n", 41 | "| `timestamp` | Timestamp | 2014-08-15 01:54:12 |\n", 42 | "| `message` | Content of the message sent | Went to the local wedding photographer today |\n", 43 | "| `sender` | Sender of the message | Mark Regan |" 44 | ] 45 | }, 46 | { 47 | "cell_type": "code", 48 | "execution_count": 3, 49 | "metadata": { 50 | "collapsed": false 51 | }, 52 | "outputs": [], 53 | "source": [ 54 | "import json\n", 55 | "import matplotlib.pyplot as plt\n", 56 | "import numpy as np\n", 57 | "import pandas as pd\n", 58 | "import seaborn.apionly as sns\n", 59 | "\n", 60 | "from datetime import datetime\n", 61 | "\n", 62 | "%matplotlib inline\n", 63 | "plt.style.use('bmh')\n", 64 | "colors = ['#348ABD', '#A60628', '#7A68A6', '#467821', '#D55E00', \n", 65 | " '#CC79A7', '#56B4E9', '#009E73', '#F0E442', '#0072B2']" 66 | ] 67 | }, 68 | { 69 | "cell_type": "markdown", 70 | "metadata": {}, 71 | "source": [ 72 | "The below code loads the json data and parses each message into a single row in a pandas DataFrame.\n", 73 | "> Note: the data/ directory is missing the hangouts.json. You must download and add your own json file as described above. Alternatively, you can skip to the next section where I import an an annonymized dataset" 74 | ] 75 | }, 76 | { 77 | "cell_type": "code", 78 | "execution_count": 6, 79 | "metadata": { 80 | "collapsed": false 81 | }, 82 | "outputs": [], 83 | "source": [ 84 | "# Import json data\n", 85 | "with open('data/hangouts.json') as json_file:\n", 86 | " json_data = json.load(json_file)\n", 87 | "\n", 88 | "# Generate map from gaia_id to real name\n", 89 | "def user_name_mapping(data):\n", 90 | " user_map = {'gaia_id': ''}\n", 91 | " for state in data['conversation_state']:\n", 92 | " participants = state['conversation_state']['conversation']['participant_data']\n", 93 | " for participant in participants:\n", 94 | " if 'fallback_name' in participant:\n", 95 | " user_map[participant['id']['gaia_id']] = participant['fallback_name']\n", 96 | "\n", 97 | " return user_map\n", 98 | "\n", 99 | "user_dict = user_name_mapping(json_data)\n", 100 | "\n", 101 | "# Parse data into flat list\n", 102 | "def fetch_messages(data):\n", 103 | " messages = []\n", 104 | " for state in data['conversation_state']:\n", 105 | " conversation_state = state['conversation_state']\n", 106 | " conversation = conversation_state['conversation']\n", 107 | " conversation_id = conversation_state['conversation']['id']['id']\n", 108 | " participants = conversation['participant_data']\n", 109 | "\n", 110 | " all_participants = []\n", 111 | " for participant in participants:\n", 112 | " if 'fallback_name' in participant:\n", 113 | " user = participant['fallback_name']\n", 114 | " else:\n", 115 | " # Scope to call G+ API to get name\n", 116 | " user = participant['id']['gaia_id']\n", 117 | " all_participants.append(user)\n", 118 | " num_participants = len(all_participants)\n", 119 | " \n", 120 | " for event in conversation_state['event']:\n", 121 | " try:\n", 122 | " sender = user_dict[event['sender_id']['gaia_id']]\n", 123 | " except:\n", 124 | " sender = event['sender_id']['gaia_id']\n", 125 | " \n", 126 | " timestamp = datetime.fromtimestamp(float(float(event['timestamp'])/10**6.))\n", 127 | " event_id = event['event_id']\n", 128 | "\n", 129 | " if 'chat_message' in event:\n", 130 | " content = event['chat_message']['message_content']\n", 131 | " if 'segment' in content:\n", 132 | " segments = content['segment']\n", 133 | " for segment in segments:\n", 134 | " if 'text' in segment:\n", 135 | " message = segment['text']\n", 136 | " message_length = len(message)\n", 137 | " message_type = segment['type']\n", 138 | " if len(message) > 0:\n", 139 | " messages.append((conversation_id,\n", 140 | " event_id, \n", 141 | " timestamp, \n", 142 | " sender, \n", 143 | " message,\n", 144 | " message_length,\n", 145 | " all_participants,\n", 146 | " ', '.join(all_participants),\n", 147 | " num_participants,\n", 148 | " message_type))\n", 149 | "\n", 150 | " messages.sort(key=lambda x: x[0])\n", 151 | " return messages\n", 152 | "\n", 153 | "# Parse data into data frame\n", 154 | "cols = ['conversation_id', 'event_id', 'timestamp', 'sender', \n", 155 | " 'message', 'message_length', 'participants', 'participants_str', \n", 156 | " 'num_participants', 'message_type']\n", 157 | "\n", 158 | "messages = pd.DataFrame(fetch_messages(json_data), columns=cols).sort(['conversation_id', 'timestamp'])" 159 | ] 160 | }, 161 | { 162 | "cell_type": "code", 163 | "execution_count": 7, 164 | "metadata": { 165 | "collapsed": false 166 | }, 167 | "outputs": [ 168 | { 169 | "data": { 170 | "text/html": [ 171 | "
\n", 172 | "\n", 173 | " \n", 174 | " \n", 175 | " \n", 176 | " \n", 177 | " \n", 178 | " \n", 179 | " \n", 180 | " \n", 181 | " \n", 182 | " \n", 183 | " \n", 184 | " \n", 185 | " \n", 186 | " \n", 187 | " \n", 188 | " \n", 189 | " \n", 190 | " \n", 191 | " \n", 192 | " \n", 193 | " \n", 194 | " \n", 195 | " \n", 196 | " \n", 197 | " \n", 198 | " \n", 199 | " \n", 200 | " \n", 201 | " \n", 202 | " \n", 203 | " \n", 204 | " \n", 205 | " \n", 206 | " \n", 207 | " \n", 208 | " \n", 209 | " \n", 210 | " \n", 211 | " \n", 212 | " \n", 213 | " \n", 214 | " \n", 215 | " \n", 216 | " \n", 217 | "
conversation_idevent_idtimestampsendermessagemessage_lengthparticipantsparticipants_strnum_participantsmessage_typeprev_timestampprev_sendertime_delay_secondstime_delay_minsday_of_weekyear_monthis_weekend
10Ugw5Xrm3ZO5mzAfKB7V4AaABAQ7-H0Z7-FkyB7-HDBYj4KKh2014-08-15 03:44:12.840014Mark ReganThanks guys!!!14[Keir Alexander, Louise Alexander Regan, Mark ...Keir Alexander, Louise Alexander Regan, Mark R...3TEXT2014-08-15 03:44:00.781652Keir Alexander12142014-080
\n", 218 | "
" 219 | ], 220 | "text/plain": [ 221 | " conversation_id event_id \\\n", 222 | "10 Ugw5Xrm3ZO5mzAfKB7V4AaABAQ 7-H0Z7-FkyB7-HDBYj4KKh \n", 223 | "\n", 224 | " timestamp sender message message_length \\\n", 225 | "10 2014-08-15 03:44:12.840014 Mark Regan Thanks guys!!! 14 \n", 226 | "\n", 227 | " participants \\\n", 228 | "10 [Keir Alexander, Louise Alexander Regan, Mark ... \n", 229 | "\n", 230 | " participants_str num_participants \\\n", 231 | "10 Keir Alexander, Louise Alexander Regan, Mark R... 3 \n", 232 | "\n", 233 | " message_type prev_timestamp prev_sender \\\n", 234 | "10 TEXT 2014-08-15 03:44:00.781652 Keir Alexander \n", 235 | "\n", 236 | " time_delay_seconds time_delay_mins day_of_week year_month is_weekend \n", 237 | "10 12 1 4 2014-08 0 " 238 | ] 239 | }, 240 | "execution_count": 7, 241 | "metadata": {}, 242 | "output_type": "execute_result" 243 | } 244 | ], 245 | "source": [ 246 | "# Engineer features\n", 247 | "messages['prev_timestamp'] = messages.groupby(['conversation_id'])['timestamp'].shift(1)\n", 248 | "messages['prev_sender'] = messages.groupby(['conversation_id'])['sender'].shift(1)\n", 249 | "\n", 250 | "# Exclude messages are are replies to oneself (not first reply)\n", 251 | "messages = messages[messages['sender'] != messages['prev_sender']]\n", 252 | "\n", 253 | "# Time delay\n", 254 | "messages['time_delay_seconds'] = (messages['timestamp'] - messages['prev_timestamp']).astype('timedelta64[s]')\n", 255 | "messages = messages[messages['time_delay_seconds'].notnull()]\n", 256 | "messages['time_delay_mins'] = np.ceil(messages['time_delay_seconds'].astype(int)/60.0)\n", 257 | "\n", 258 | "# Time attributes\n", 259 | "messages['day_of_week'] = messages['timestamp'].apply(lambda x: x.dayofweek)\n", 260 | "messages['year_month'] = messages['timestamp'].apply(lambda x: x.strftime(\"%Y-%m\"))\n", 261 | "messages['is_weekend'] = messages['day_of_week'].isin([5,6]).apply(lambda x: 1 if x == True else 0)\n", 262 | "\n", 263 | "# Limit to messages sent by me and exclude all messages between me and Alison\n", 264 | "messages = messages[(messages['sender'] == 'Mark Regan') & (messages['participants_str'] != 'Alison Darcy, Mark Regan')]\n", 265 | "\n", 266 | "# Remove messages not responded within 60 seconds\n", 267 | "# This introduces an issue by right censoring the data (might return to address)\n", 268 | "messages = messages[messages['time_delay_seconds'] < 60]\n", 269 | "\n", 270 | "messages.head(1)" 271 | ] 272 | }, 273 | { 274 | "cell_type": "markdown", 275 | "metadata": {}, 276 | "source": [ 277 | "We now have a data model that we can work with more easily. The above table shows a single row in the pandas DataFrame. I'm interested in how long it takes me to respond to messages. Lets create some plots that describe my typical response times." 278 | ] 279 | }, 280 | { 281 | "cell_type": "code", 282 | "execution_count": 10, 283 | "metadata": { 284 | "collapsed": false 285 | }, 286 | "outputs": [ 287 | { 288 | "data": { 289 | "image/png": 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ul7QF8DPgo8DBwN0RcZqkk4CtImK9C/WWLVsW8+fPL6WcZfvtGT9py3r3OP7Qtqy3F3nU\ngtZVse2qWCczs+mgleP3ihUrGBgYaLz+bVIbN/uGKdgW+K6kWtxvRMTPJF0FnC/pWLJh3kosk5mZ\nmZnZekpLkCNiJTBvjPn3kM4im/WMZm5AAb4JhZmZWS8p8wyyWWWMl/D653sz66SIIPul1symoBPj\nIJuZmVnBIoLzzz+fsq4tMqsyJ8hmZmYVMDw8zHXXXcfw8HCni2LW85wgm5mZ9biIYHBwkEceeYTB\nwUGfRTabIifIZmZmPW54eJiRkREgjRXrs8hmU+OL9KxnNTOGdDPLegxpM+s1V155JaOjowCMjo6y\nfPly5s6d2+FSmfUun0G2yjtmjkcRNLNq22+//Zg5cyYAM2fOZN999+1wicx6mxNkMzOzHtff309f\nXx8AfX199Pf3d7hEZr3NXSzMzMwK0qmbCEli4cKFLF26lIULF3osZLMpcoJsZmZWkE7eRKi/v58b\nb7zRZ4/NCuAuFmZmZhUgiUWLFvnssVkBnCCbmZlVhJNjs2I4QTYzMzMzq9NUgizpOZI8doyZmZmZ\nVVaui/QkzQa+BczLZm0h6Sjg5RHx9nYVzszMzMy6RzMjtbT7wtR2yjuKxReBHwEvBu7O5v0M+HQ7\nCmVmZmZm3WespLeMUVrKljdB3gd4ZUSsrV0AEBH3SdqybSUzMzMzM+uAvH2QVwM71c+QtBvwh8JL\nZGZmZmbWQXkT5NOBH0h6G7CxpNcDS4FPtq1kPSIiOl0EMzMzMytQrgQ5Ir4CLAaOAm4H3gJ8OCK+\n3saydb2I4Pzzz3eSbGZmZlYhuW81HRHfA77XxrL0nOHhYa677jp23XVX5s6d2+nimJmZmVkBcifI\nkl5CGuZtVm0WEBHx8SbWMQO4CrgjIv5W0takrhrbA6uARRFxb971dVJEMDg4yCOPPMLg4CD9/f2+\ng5GZmZlZBeTqYiHp88B/AS8Bds0eu2R/m3ECcANQ65NwEnBRROwMLMume8Lw8DAjIyMAjIyMMDw8\n3OESmZmZmVkR8p5BPhrYPSLubDWQpGcDrwT+DXhfNvtw4MDs+TnAID2SJF955ZWMjo4CMDo6yvLl\ny93NwnrGb8/4SVuW3eP4Q1spjpmZWVfJO4rF7cCjU4z1/4B/BNbWzds2ItZkz9cA204xRmn2228/\nZs6cCcDMmTPZd1/fgduq55g5B3e6CGZmZqXLmyAfC3xJ0lGSXlL/yPNmSX8D3BURV5P6Lm8g0lAQ\nPTMcRH9/P319fQD09fXR39/f4RKZmZmZWRHydrHYi9Q94sXAXxtee06O9+8PHC7plcBmwFMknQus\nkbRdRKyW1AfcNdabL7jgApYsWcLs2bMB2HLLLenv72fBggUADA0NAZQ+vXDhQpYuXcqWW27J5Zdf\n3vL6rl55AwAvmLNbYdP3Ds3qePu0e3oraEv7dUv92jm9cuUNhe5vvdR+IyMjDA0NdU15PD09pmu6\npTye9nSR0zXdcPweHh7mvvvuA+C2225j7733ZmBggGYpzxi+ku4GXhcRFzUdYcN1HQgszkax+CRw\nd0ScJukkYKuI2KAP8rJly2L+/PlTDV242jjIixYtankEi2b6dzZjOvQFLavtmolz9sqLc3dL6OQ2\nms773eLFizn99NM7XQybZrzfWZWVtX+3EmfFihUMDAw0naTl7WLxIHBpsyufQC0rPxU4RNL/AAdl\n0z1D0pSSY6se99k1MzPrfRvnXO5fgM9IOoV0Md06EbF27LeMLSIuJUu2I+IeoKczCifHZmbWCYsX\nL869rM9emzUnb4L8lezvPzTMD2BGccUxMzOzPMZKet2Vw6wYeRPk57a1FGZmZmZmXSJXghwRq9pc\njmnr7JUXt2W9p9P9F0uZmZmZdePNq8ZNkCV9KSLekT0/d5zFIiLe3HJ080VdZmZmZjmUmTNNdAb5\n1rrnt5D6G9euSKs975kbe5iZmRWp2eES8y7fC8MlmlXduAlyRHyibvI/I2KkcZns5h4d5yt5zXpH\nM59X8GfWqsG/Fpr1lrwX6f0OeMoY868Hti6uOK3xlbw23UREzw4xON7n0p9ZMzPrFnlvFLLBN7Gk\npwBNjYFsZlNXu4NjnrtgmpmZWfMmTJAl3S7pdmDz2vO6eauB75VSSjNbZ3h4mOuuu47h4eFOF8XM\nzKySJuti8abs74+Bo1n/Ir01EXFTuwpm1dfL3QQ6JSIYHBzkkUceYXBwkP7+frehmZlZwSY8gxwR\ngxExCDw9Ii6tTWfPnRxby9xNoDXDw8OMjKTrZUdGRnwW2czMrA3y3ijkwXYXxKaXWjeBXXfdlblz\n53a6OD3jyiuvZHR0FIDR0VGWL1/u9jPLwaOnmFkz8o5iYVYYdxNo3X777ceqVasYHR1l5syZ7Lvv\nvp0ukllP8GhHvcvd8awT8o5iYVYYdxNoXX9/P319afjxvr4++vv7O1wiM7P2cXc865SmziBL2gjY\ndqybhpjl5W4CrZPEwoULWbp0KQsXLvRZFet5vtGTTcTd8axTciXIkp4KnAEcCTxGGvbtcGCfiPhQ\nG8tnFeRuAlPT39/PjTfe6LPHVgnu+mDjcXc866S8XSz+A/gLsD3wSDbvSuB17SiUVZu7CUyNJBYt\nWuQvCjOrNHfHs07K28ViAOiLiNHal3JE/FHSNm0rmZWiEz9vupvA1LnNzKzq3B3POilvgnwv8Azg\nztoMSbPrp603dernTXcTMDOzibg7nnVS3gR5CXCBpA8BG0naD/g48J9tK5lVmrsJmFm7/PaMn7Rl\n2T2OP7SV4liL+vv7GRwc5LbbbnN3PCtd3j7IpwFLgS8AM4GvAt8DPtOmctk04OTYzDrpmDkHd7oI\nNgFJzJkzB4A5c+b4O8NKlfdOegF8NnuYmZmZtVVEcOuttwJw6623+oYhVqpcZ5AlHSTpudnzPklf\nk/RVSdvlfP9mkn4p6RpJN0j6RDZ/a0kXSfofST+TtFXrVTEzM7OqGB4eZvXq1QCsXr3ao1hYqfL2\nQT4TeFn2/N+BII2H/EXg8MneHBEPS3ppRDwkaWNgSNKC7L0XRcQnJZ0InJQ9zMx6hm92YVXWzP4N\nxe3jVRjFolNtZ1OXN0F+ZkTcJmkm8HKeGA859x31IuKh7OkmwAzgz6QE+cBs/jnAIE6QzazH+GYX\nVmWd2r+rMIqFjw29K+9Fen/JulO8BLg+Iu4HRLpgLxdJG0m6BlgDXBIR15NuW70mW2QNsG3+opuZ\nmVlV+aZS1kl5zyB/HvgVsCnwnmzeAcCNeQNFxFpgnqQtgZ9KemnD6yEpxnrvBRdcwJIlS5g9ezYA\nW265Jf39/SxYsACAoaEhgPWma3ffGe/1bpq+euUNALxgzm6FTd87NKvl8oyMjDA0NNQ17TPedK3D\netHtV8b2AdiDQzvWfitX3lB4fcZqv9+e8ZPc7wdyLz/niH3Wr8+Fv8pdvpGREc5d/O+5lt/j+ENb\nbu+abvm89NL0VI/fZ11x7rrEqrauIqZPZ8P9Yboev2vauT9IYsstt+RPf/oTb37zm5FU2PovvPDC\nde0FE2//4447rqv2726cnmp9ivw+//3IKh54OHVaePj677P33nszMDBAs5QGqMixoPR84PGIuDmb\n3hnYNCKa7jUv6cPAX4G3AwsjYrWkPtKZ5V0al1+2bFnMnz+/qRi98hNGM2NwNmMq43W67dZvu27c\nRlNVtbbrxm3UK5+jbjTVtvN+1/79rqw4EcH5559fyrj5VWu7MnXzZ3bFihUMDAw0vfPk7WJBRPwu\nIm7OukpsBNwMXJ/nvZKeXhuhQtKTgEOAq4HvA2/JFnsLcGEzhTczM7Pq8k2lrFNydbGQtBfpJiF7\nApvVvRSkC+4m0weckyXWGwHnRsQySVcD50s6FlgFLGqi7GZmZh1z9sqL27Le0/Ed++o5ObZOyNsH\n+RzS2d5jgYcmWXYDWTeMDfpIRMQ9gG9lZGZmPcd34jOrrrwJ8mzgg5G3w7KZmZmZWY/K2wf5u6Tx\nj83MzMzMKi3vGeQnAd+VdBlpvOKaiIg3F18sMzMzM7POyJsg35A9GrnLhZmZmZlVSq4EOSJObnM5\nzMzMzMy6Qt4zyGR3vnsz8CzgDuDrEfHzdhXMzMzMzKwTcl2kJ+ntwFJgBPgOsBr4pqS/b2PZzMzM\nzMxKl/cM8onAIRFxbW2GpPNIyfIX21EwMzMzM7NOyJsgbw3c2DDvd8BTiy2OtUuz9znPu/wex/uO\nT2ZmZlYtecdBvhz4d0lbAEiaBZwOXNGuglnn+O5QZmZmNp3lPYP8D8B5wH2S7iGdUb4CeH27CmZm\nZutbvHhxU8uffvrpbSqJmVm15R3m7U7gJZKeA/QBd0bEHW0tmZmZrWe8hHfx4sVOhs3MCpS3iwWS\ntgIOrD0kuf+xmZmZmVVOrjPIkg4ijVjxO+APwPbAmZJeGxEXt7F86/GFZmZmVpSzV17cM9dcNPP9\n18yy/v4zG1vePshnAH8fEefXZkg6CvgCsEs7CjZVvXLQMzOzYuVO+hZfXLkE0d99ZsXI28WiD/h2\nw7wLge2KLY6ZmZmZWWflPYN8LvB/gc/WzTsum29WaWevbE8votOp1pkrMzOzqsibIM8H/kHSPwH/\nCzwL2Ab4paTLsmUiIl7ShjKadZR/sjQzM5te8ibIX8oeE4kplsXMKsZn383MrBflHQf57DaXw8zG\n0czNIfKOhVtW4lrW2Xcn4sVrx35nZr1juo8clneYtzcA10TEDZKeTzqb/DhwXETc1M4Cmk13YyUf\nU70xRNW6jVStPt2gHfudmVVTFY/BebtYfAzYL3v+aeBXwIPAmcBBeVaQ3YXva6S+ywF8MSI+J2lr\nYClpbOVVwKKIuDd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6Laz7STaydW+RzbsV+C7w0anEaYyVfRHeHhGrI+LnwF3AgXXbr2X1\ncTLLgFslbZx9UexKdtOcqXxx1G2j90rqi4hVEXFnG+qz3uco+0K6pej6jBGrLyKujzT6zXzST/fb\nA58ClhQU5z2SnpXF2AR4BXAhcAnwd5Jemx07ComTzS7j2PDMiPhVNn9mRFxK2gdfMZUYY8TxMajF\nWD4GtRyrrcehqh2DxqhTz+dCbTnW5T3VXIUH8Brg18BLga+SNvwuwDOBU4EXZMttDfwJ2KvAONsD\nryPt4Kdny80gHaRa/ulxjFhnAc/PXnsPcFL2fCbpP/kDC4yzLelMyjmk/6i/CTyX9CHboYUYTwH+\nA1gDPADMrHvtU8BX6qZnAH8Adm+xPmPGIv3TuFH2fC7pC/01De/N/ZPTBHFm1K8LOBvYv9U442yj\nLwDz6l6fcn0miFP77Mwsqj45Yj0XmJ09n1XwZ/YLtXUB/5r9fQPwF+BGYJuC4pR5bFi3P2T7+dbA\nl4GXt7p9xonjY9AUYuFjUBHHhsKOQ5PE6blj0DixejoXmmi/YwrHuul2BvlFwJkRcQnpP/+VwOKI\nuBP4aERcDRAR95DODswqKM4q0pfEecAIsImk7SL9JLSc1IepqDrdQurfA7AX6QuJiBgFfkjqG1hE\nnJWkNltC6hf13oh4A+kL45fA/c2eVYmIvwCXRsS2pL5jX6h7+aPAPKULMDbN2u6HZD//NGuCWIrs\nJ5iIuI70oeuXNKAWLgCapE5ERGRnCGYDKyQ9R9I7mo2TGWu/O6Eu1pTrM0Gcd2frGpW0aUH1mbBO\nEXFrRNyWPX8A+C9g8xZijBfnndlrr1S6cOWfgO+RPrN/KTBOWceGVTzRdmuz49xmwMJs+Va/D3wM\naoGPQVM6Bo0Xqx3Hoaodg8aK1eu5UFuOddMiQdYTQwvdSro6k4hYBfw38BRJr4qIv9Yt/2Fgd+Cm\nguJ8n/RzwgLgdFKfpQ9I+hfSRR+XFlinHwBPlvQi4MfAOyW9Qumq64OAKwus09aSXh0Rj0b2cwap\nY/wWwP3NHIjqvsj+O/v7XuANyvoSZgefT5L+8/ygpH8FXkzWj6nJOo0bKyIel7RxXb2/CRwLnAc0\n9ZNWjji1L9bnA08jfaC/R/pvt5k4E+0LW0h6Vd3iU6nPZHGOyF7fZSr1yRFr84Y6oXS1+h6kn9yL\nivNUSfuTRmG4IiLmRcSbgD7ST7dFxCn72NC4P3wD2EfSZtmXVFFxfAxqMZaPQVOOVchxqGrHoEli\n9WQu1O5jXSUTZEmb1T1f9984cAHw17oP0AjpNP+uSl4saZDUJ+bIiFhTYJxlpJ96VgCfIP1E8iTg\nkNp/awXG+jnwkoj4JnAuacd7LvCyiJjww9tC2z0/a7udJH2P9GF6X6RO8s3ECUhfQpJmRMQI6YKb\ndX26sv86P0G66nYb4BURMemXU7OxIuKxiFgraQtSH6zfAntGxOKC44xmiz8P2I10Zu1vIuK0SeI8\nI/u7cbaePPv3RpKeDHy2ifo0G2eX7ID1XNKXU676tFqnbPlXKA21tDPp6uu7CoyzjJQAfT0iTqxb\nzRGTfWZbiDOVY0NL+0M2bzNSojLphStNxpnKMajZ+rR6DGqM085jUFOxpnAMajZOq8eg9X4FaNcx\nqMVYLR2HWqlT9r5mj0HNxGn5GNRqnVrMhZqtU0vHu1b3u2xe7mNdfYDKPIAXkjrM/wcwAGwcT/Rv\nUfZ4K2lIllq/q38k/aQAafie3dodp6Q6nVK3jk1KaLunAM+ZQpz6fncz6pa/DdiP9B/zvtm8XP2H\nphBrW2CfbN62ba7TrsAOtXgTxBDprNh5wOUN8zeaZBudnD2fyST91qYYp9ZPrn+y+hQQq7bf7QDs\nUULbzWCS4YGKqE8Tx4Up1ymb3riNcXIfgwraFyY9Bk0SRxR4DJpirNzHoALqlOsYlL1vPnAx6Z+e\njevmF3YMKiBWs8ehVuPkPgYV1HaTHoMKrFPeXGhKcfI+ptp22fSEx7qxHpU4g5z9x3MqKUH5PunD\nfwzwNEkbRcTjkVpoc1ID3gl8UemKyvnAKEBE3B4RN7Q7Tkl1WjfId0xwJqXAtvtLpOGPWo2zNtIZ\nk1mkL7qa00gX31xK+g+QrDxTabvJYl2W1ZeY4D/nAuL8gvTltyqe+Hl4TJE8mE0+XVKtb9qMLM5E\n2+ixbB2jMcnZjSnGeTRbx/Bk9SkgVm2/WxURv21jnFrbPR6TDA9URH3yKqJO2XoeYwJTjJPrGFRA\nnFzHoBxxoqhjUAGxch2DCoiT+xik1IXgPGBpRLyptu/UHesKOQYVECv3cWiKcXIfgwpqu0mPQQXW\nacJcqKg4eRTRdlmdJjzWjSmazKi79UEaBmXr7PkzgaXAk+pePwX4WdZoW5P6qQ2Srqqc0W1xqlin\nHHH+lbSTvzibfiWpP9fp1F1N3k2xyojDE/8h95F+nnwxMEw24H5R26isOFWsk9uuMnGKOi6UEqvk\nOn2U9UfxmE86I1w7Y1fkd18psaoWp4p1KrPtNog9lTd38kG6GnHfMea/mHQV869IQ7wcRboC85vA\njg3Lbt4tcapYp6nGIfUlnF1G2+WN1Yk41P2sRrrY5Nmkfomnkn7e26KIbdTOOFWsk9uu+nFo8RjU\nzlidiJNNzyIl2v9OulvdD0gXPr2agr/72hWranGqWKcy227SshSxkjIfpFt+fgf4M2m8u9rZu1o/\nqz2Ag7Lnb82WmV33/hnk6z9WSpwq1qmAOLn7CpUVq9Nxstd2Bv5f9vxw0jA/1zW8f0rbqOg4VayT\n225axJnyMajoWF0S542ki6wOzKb/T7bM9m3YvwuLVbU4VaxTmW2X99GLfZAfJV2d+EZSf5OjsvkB\nEBG/jXTHHkj9uLYk6++SXcVb61PbLXGqWKepxmmmr1BZsTodh2x6R0n/Tfp59FKyMWbr4kx1GxUd\np4p1cttVP04Rx6CiY3U8TkR8gzRSw6XZrItJP2vX+oUWtn8XHKtqcapYpzLbLpeNJ1+k8yS9mXQB\n1LUR8WdJXyIN1fEM4AClMR3/R3piaK3MQLbcg5A6uXdDnCrWyW3X1jjPjzQ01pNJY64+BLwhIu6X\n9BtJe0XEb7olThXr5LZznCrXqYlj3UYRcXfdW19GOknwABR+/J5SrKrFqWKdymy7VtQ6OXcdSbUL\nD75JarCbSf1NToiIP2bL7Ay8BXg4Ik7J5m0GLCAN6H4H8E8RMe4g12XFqWKd3HYdibNVRNxbt571\npjsVp4p1cts5TpXrNIU4M4ADSBcF3g6cGBE3tqntmopVtThVrFOZbTdlUWB/jaIePDGO7POBb9Tm\nkW6R+Z2GZV9NulpxR9IQPDNJ4x/+bbfEqWKd3Halx9mJNJj6pvDE2KbdEKeKdXLbOU6V69RinB2z\nOMqeH97Gtms6VtXiVLFOZbZdEY9SguQuTOpk/QnSGI0Lgb8Fzml4fQ1ZR+26+f8M3JK9lmdw61Li\nVLFObruOx9m1W+JUsU5uO8epcp0KirN7iW03aayqxalincpsuyIfpQabpAEPBK4BzgLeQbrQ6VBS\n/5R96pY7Dhism15E6uu5hBx36CkrThXr5LZznCrXyW3nOFWuk9uu++NUsU5ltl3Rj9IDTtCILwHe\nVDd9VtZgbwV+k82bAWwH/Bcwp+59L+m2OFWsk9vOcapcJ7ed41S5Tm677o9TxTqV2XZFPzoWeIxG\nfBKpL+eMbPqNwCey59cA786e7w18q9vjVLFObjvHqXKd3HaOU+U6ue26P04V61Rm2xX96JpxkCPi\nrxHxcDwxXMchwJ+y528DdpX0Q+BbwIpuj1NmrKrFKTOW47SuanVy2zlOJ2JVLU6ZsaoWp8xYVYvT\nFp3O0BsfpCsaZwA/Jrt9IOnKxaeShtF6di/FqWKd3HaOU+U6ue0cp8p1ctt1f5wq1qnMtivq0TVn\nkGsi3e1nJuk/jLnZfxYfBh6PiKGIuKOX4pQZq2pxyozlON0fq2pxyozlON0fq2pxyoxVtThlxqpa\nnEJ1OkMf6wHsRxpAegg4ttfjVLFObjvHqXKd3HaOU+U6ue26P04V61Rm2xVS3k4XYJxGfDZp/LtN\nqhCninVy2zlOlevktnOcKtfJbdf9capYpzLbrohH195q2szMzMysE7quD7KZmZmZWSc5QTYzMzMz\nq+ME2czMzMysjhNkMzMzM7M6TpDNzMzMzOo4QTYzMzMzq+ME2cysx0haK+m5nS6HmVlVOUE2M5sC\nSaskPSLpaQ3zr84S2dlTXP+gpGNbeN/uku6VtFPD/GWSPj6VMpmZVZ0TZDOzqQngVuD1tRmS+oEn\nZa8Vsf7m3xRxPXA68OW6ch0L9AEnF1AulCliXWZm3cQJspnZ1H0deHPd9FuArwECkLSlpK9Juis7\n4/zBWmIp6RhJQ5I+JekeSbdKOjR77d+AFwNfkHS/pM/VxThE0v9I+rOkL4xTrlOBJ0t6p6Rts+m3\npVXrdEl/kLRa0lmSNstibiXpB1lZ75H035KeVVthdkb7Y5IuBx4E5ky9+czMuosTZDOzqVsOPEXS\nLpJmAH9HSpohJcmfB55MSiYPJCXTb617/z7ATcDTgE+SnfWNiA8ClwHHR8STI+Ldde85DNgbmAss\nkvTyxkJFxGNZnFOAc4FzI2I5KVHeEdgz+/ss4F+yt22UxZ+dPf4KNCbgRwNvB2YBt+VqITOzHuIE\n2cysGOeSEt9DgBuA/83m1xLmD0TEgxHxB+DTwJvq3vuHiPhyRATpzHOfpG3qXh+rG8OpEfGXiLgd\nuASYN1ahIuIaUsK7K/DP2ZnrdwDvi4h7I+IB4BPA67Ll74mI70bEw9lrHycl9etWCZwdETdGxNos\nCTczq5SNO10AM7MKCFKCfBnpLPG67hXA04GZwB/qlr+NdNa2ZvW6FUU8lPW+mAXcVbf+Rqvrnj8E\nbAEg6XrSmV+AQyPiclLCvioiHs4S782B39R1HxbZCRNJmwP/D3g58NTs9VmSlCXwALeP1xBmZlXg\nBNnMrAARcZukW4FXkPr51vwJGAV2AG7M5s0G7si76pzLKSvH7pMs9ydSt4ndImJkjNffD+wM7BMR\nd0maB6zI1l8rSxEXH5qZdS13sTAzK86xwEER8de6eY8D5wP/JmmWpO2B9/JEH+XJrAGeN8kyuUeS\niIi1wJeAz0h6BoCkZ0l6WbbILFICfZ+krYGPTCWemVkvcoJsZlaQiLg1IlbUz8oe7yKN+HArqRvG\nN4CvNixDw/tqPgscmY0o8ZnxQo+xjolePxG4GVgu6T7gItJZY4DPkIao+xNwBfDjScpnZlY5eqJL\nmZmZmZmZ+QyymZmZmVkdJ8hmZmZmZnWcIJuZmZmZ1XGCbGZmZmZWxwmymZmZmVkdJ8hmZmZmZnWc\nIJuZmZmZ1XGCbGZmZmZWxwmymZmZmVkdJ8hmZmZmZnWcIJuZdZikhZLWSnpmp8tSI+lsSReNN11w\nrGMkjY433YZ4J0v6fbvWb2a9zwmymRUiS6DWZo/HJN0p6b8k7dTpsnWTrG3e3DD7cmA7YKQDRZpI\n1D1/F3Bk3jeOU8/xnAcU/s+BpAXZ/ji74aVPAS8qOp6ZVYcTZDMr0i9Iid5zgL8Dng/8oKMl6j4B\naL0ZEaMRcVdExDjv6ZR15YyI+yPivibeu0E9N1h5snFEPBwRf2y1kDk0tveDEXFPG+OZWY9zgmxm\nRXo0S/RGIuIy4EvATpK2ri0g6RBJl0t6SNIdkr7S8Prukn4q6c+SHpB0g6Sj615fK+ndkr6dvX6H\npHfXF0JSn6TzsnU8JOkSSXvVvV7r0nCwpF9IelDS9ZIObVjPP0u6RdLDku6S9BNJm+WtSyNJq4AZ\nwFez+I83lOeZDdOvkHRltv5fS9pV0tws5oOSfilp14YYe0n6maT7szJ/e4wzqI3l2lrS0qw9V0s6\nhYakcowuF+NupwnqeYyk0ax+VwMPAweP16VC0kC2Xf4qabmkPete2+A9kp6dxXuJpB1I/7ABrMzm\n/zxbboMuFpLektXhEUm3SzpF0oy61wclfUnShyWNSLpb0jmStpiobc2sNzlBNrMirUuqsmTvSOCW\n2tk6SQcBFwLfBPqBI4AdgO/UreNbwB+B/YA9gPcBf26I8xHg58A84JPApyUdnsVQFmNn4DBgH2AN\ncJGkpzWs53TgY8Bc4JfAUklbZet5DXAi8G5gR+AQ4Ed19ctTl0Z7A48DJ5DOtPdNsCxZ2T4A7AWM\nkroinAl8KJv3KPDVujLtBgySumzsBbw0i3eRpE0niPNl4AXA3wAHZfU4gvW7WETD9ETbaaJ6bgSc\nCryH9AvDVeOUaSPgNOAfSNvwj8AP6/9BmcRtwKuy5y/MyvGasRaUdBipDc4BdgfeDxxP2s/qHQls\nBRwIvI7UXifmLI+Z9ZKI8MMPP/yY8gM4m5TE3Q88CKwFlgOz65YZBD7e8L7Z2bJzs+l7gbdMEGct\ncE7DvG8Av8ieD2TL7FL3+ibAncCHs+mF2TJH1C2zTTbvkGz6vcDvgI3HKcdEddlzgvKPAm9umFcr\nzzMbpg+vW+bIbN6r6+Ydkc3bvG4bfKth3Ztm2+NV45Rnx2wdA3XzZgJ3AD9r2L4X1U1Ptp3Gqucx\nWawDxpg/OsZyL62bt1W2b71trPdk856dve8l2fSCbHp2w3InA7+vm74MOK9hmXcDD9W2f7a9r25Y\n5kzgik5/9vzww4/iHz6DbGZFWg7sSTpjdwowH3he3esvBN6b/fx/v6T7getJZyZrF/OdDizJukV8\nRNILxohzZcP0FaQzf2R/746Im2ovRsSjpDPEuze875q6Ze4infXcNpu1lJQo/kHSVyUdLWlWzrrs\nOFbjtODauudrsr/XjTFvm7oyvbqhTH8iJcnjlWm37O8VtRkRMQr8epKy5dlO45ls3TXrtnNE3Avc\nWFfeIu3GE90xan4BbMb6+++1DcuM8MT+YmYV4gTZzIr0cETcGhE3RMRHgPOB/8i6PUDqgnEqKYmu\nf+wE/AQgIj5G6h5xPumn++VZn9ipEut3EYDURaHRRlk57gR2Ad4G3AV8GPidpGfnrUsB6vvYxgTz\nasdyAV8bo0w7k7oQNGPCC+ymsJ0ez/5haUV9mdaO8frMFtebR7Dh/hL4e9SskvzBNrMiNSagJ5PO\nwL0um74K2CNLohsfD65bScTKiDgrIo4i9QM9rmG9+zVM7086e0v292n1F69l/W9fBPy2qcpEPBoR\nP42IE0n9jDfniX6tueoyhkdJF7C1w1Wk7h1jlenecd5zQ/b3gNoMSZuQzkY3Wm/7TrKdiqjnuu2c\n9Q3fpa68dwEzJG1Tt/z8hvfXEtrJynE9qV9xvQNJXSxuaabAZlYNTpDNrEiNw2ndDHwf+Kds1r8A\nr9G+p38AACAASURBVJL0aUnzJD1P0qGSlkjaTNIWks6Q9FJJc7Kf7Q/lieS35jBJx0vaSdK7gEXA\np7OYy4BfAd+UtL+kPUhnVTcBzspdEelYSW+XtKek7YGjgSfzRII2YV0mWPVK4CClkTaenrc8OX0c\n2FXS1yW9MGvDl0r6jKQ5Y72hbhudkY0usRuwBJjFhmeRBSBpVo7tNNV6BnCapBdL6idtw7+QLoqE\n1GXmfuDUbD84lLRN6v2BdKb5MEnbSNpynFifAF4r6URJO0taREr4Px0Rj9XVfcKz6mZWHU6Qzawo\njaMc1HwKmCvpZRExSBolYS6pj+e1wL+TEp9R4DHSxVhfJiWiPyH183xDwzr/FTiY1If4JOAfI+J7\nda8fAdwE/JCULG9DuviufuzbycYcvgd4K3BJVpb3AO+IiEsActRlPO8njTCxiif6EI9VnrHKN+G8\nrN/1/qTk9qekhPWLpL60451BhtSN5BrSmNWDwO3Adxvi1W/fUSbfTnnrOd78x4F/Bv6T1Gd5G+Cw\niHg4q+ufgdcD+5La/oPAP7J+e6whjQJyEukize+OURci4sdZG7wFGCZtxzOAj45T/4nmmVkFKKKc\nz7ak55DOAGxDOqB8MSI+pzRm6FJge9KBdNEEPwWa2TQnaS1wdER8c9KFzczMWlDmGeRR4L0RsTvp\nP/7jsz6CJ5GGDtoZWJZNm5mZmZl1RGkJckSsjohrsucPkIbreRZwOGlwdrK/R5RVJjMzMzOzRqV1\nsVgvaLoF6KWkoYFui4inZvMF3FObNjMzMzMrW+kX6WUD7X8bOCEi7q9/LVK27gsezMzMzKxjNi4z\nmKSZpOT43Ii4MJu9RtJ2EbFaUh9pbMv17L///jFr1iy22247ALbYYgt23HFH5s2bB8A116SbYXm6\ne6YvvfRSTjjhhK4pj6fzTV9wwQXsuOOOXVMeT/vzVtXpm2++mSOPPLJryuPpfNOf/exnOfDAA7um\nPJ7ecPrmm2/mwQfTUPSrV6/mec97HmeddVbTQzSWOYqFSH2M746I99bN/2Q27zRJJwFbRcR6F+q9\n7GUvi6VLl5ZSTivGO9/5Ts4888xOF8Oa5O3Wm7zdeo+3WW/ydus9J5xwAl/72teaTpDLPIN8AGmg\n/eskXZ3N+wDpVq3nSzqWbJi3xjfWzhxb75g9e3ani2At8HbrTd5uvcfbrDd5u00fpSXIETHE+H2e\nDy6rHGZmZmZmE+mJO+ltscUWnS6CNWnLLce7o6t1M2+33uTt1nu8zXqTt1vv2XPPPVt6X08kyLWL\nhqx39Pf3d7oI1gJvt97k7dZ7vM16k7db76ldwNesjoyD3Kxly5bF/PnzO10MMzMzM+shK1asYGBg\noOmL9HriDLKZmZmZWVl6IkGujXNnvWNoaKjTRbAWeLv1Jm+33uNt1pu83aaPUm8UYtPH7fc+zBlX\n3J5r2dfssQ19T9m0zSUyMzMzy8d9kK0tLlt5L6csW5lr2S8fuSvP2WqzNpfIzMzMphv3QTYzMzMz\nK0BPJMjug9x7hq9a3ukiWAvcv643ebv1Hm+z3uTtNn30RIJsZmZmZlaWnkiQWx3k2Tqnf+99O10E\na8GCBQs6XQRrgbdb7/E2603ebtNHTyTIZmZmZmZl6YkE2X2Qe4/7IPcm96/rTd5uvcfbrDd5u00f\nPZEgm5mZmZmVpScSZPdB7j3ug9yb3L+uN3m79R5vs97k7TZ99ESCbGZmZmZWlp5IkN0Huff8//bu\nPEyussz7+PeXlWwkhCUJkLCD6BsJMaKiIpARUXF7BUdHRRRF1FGHGUZEZ1xg1HEJyovjyjKIDuio\nIAgqiAhhB0MgLAESCElIyAJJd9buJH2/f5zTodJ00uc0VV31dP0+19VX6px66tRddXd17n76Ps9x\nD3Ka3F+XJuctPc5Zmpy35pFEgWxmZmZm1leSKJDdg5we9yCnyf11aXLe0uOcpcl5ax5JFMhmZmZm\nZn0liQLZPcjpcQ9ymtxflybnLT3OWZqct+aRRIFsZmZmZtZXkiiQ3YOcHvcgp8n9dWly3tLjnKXJ\neWseSRTIZmZmZmZ9pXCBLOllksbnt0dJOkfSlyUNr114Gfcgp8c9yGlyf12anLf0OGdpct6aR5kZ\n5MuB0fnt7wCvB14N/LjaQZmZmZmZ1UuZAnmfiHhU0gDg/wLvAU4Ejq9JZBXcg5we9yCnyf11aXLe\n0uOcpcl5ax6DSozdKGln4FDgqYhYIWkwsFNtQjMzMzMz63tlZpD/B/gL8DPg0nzfVOCJagfVlXuQ\n0+Me5DS5vy5Nzlt6nLM0OW/No/AMckScIelNQHtE3JTv3gKcUZPIzMzMzMzqoNQybxHxJ2C+pFfn\n2/dGxF9qElkF9yCnxz3IaXJ/XZqct/Q4Z2ly3ppHmWXeJkm6DXgEuDHfd5KkC2sVnJmZmZlZXytz\nkt5PgOvIlnd7Nt93PTCj2kF1NXv2bKZOnVrrp2loi1s2MuvpNYXGTt1rFHuPru+5k1kP8ri6xmDl\n3XrrrZ4hSZDzlh7nLE3OW/MoUyAfAbwlIjokARARLZJG7/hhVg3Prd/M929fXGjsjBMOYm9nxczM\nzKxXyvQgPwMcVLlD0kuBp6oaUTfcg5we9yCnyTMjaXLe0uOcpcl5ax5lCuTvAL+X9BFgkKT3Ab8E\nvlWTyMzMzMzM6qBwgRwRFwNnAicBi4APAf8eET+vUWxbeR3k9Hgd5DR5jc80OW/pcc7S5Lw1jzI9\nyETE74Df9eaJJF0MvBVYHhGT831fAT4KrMiHnR0Rf+zN8c3MzMzMqqFwgSzpVCC6uasNWAzcGRFt\nOzjEJcAFZFfi6xTAeRFx3o6e2z3I6Zk87dVcdeOT9Q7DSnJ/XZqct/Q4Z2ly3ppHmRnkk4HXkJ2s\ntxjYGxgP3AvsAyDpnRFxT3cPjoiZkvbt5i6ViMHMzMzMrKbKnKT3IHBmREyKiCPJiuJ/Bu4DJgI/\nBP5fL2L4tKT7JV0kaUx3A9yDnB73IKfJ/XVpct7S45ylyXlrHmVmkN8PjO3ciIiQ9CNgZUR8StK3\ngc+VfP4fAufkt88lu+jIqV0H3Xzzzdx7771MmjQJgNGjRzN58uStf+ro/Ibtz9vzn90A7AZA6/zs\nF4adD5jS7fZ9d99By9hhdY33iUcfhvHjCsV7z52389TIIQ31fnvb2yltz5kzp6Hi8XbP250aJR5v\nF9ueM2dOQ8Xj7e5/Hra0tACwcOFCpk2bxvTp0ylLEd21FXczUHoUOCsirqrY9w7gWxFxSD77Oy8i\ndtvBMfYFruk8Sa/ofTfeeGM0+5X0Hli6ljOvfbzQ2BknHMTk8SNrHNGOzXxyNecW7EG+6MRDmTim\nvlf+MzMzs/5n1qxZTJ8+vXQ776ASYz8N/K+kB3m+B3ky2bJvkF1p74IyTy5pQkQszTffBcwp83gz\nMzMzs2orsw7y9cABwI/J+o5/DOwfEX/qvD8ivrq9x0u6HLgdOETSovyCI9+U9ICk+4E3AGd091j3\nIKfHPchp6vrnX0uD85Ye5yxNzlvzKDODTESsZNtl2so89n3d7L64N8cyMzMzM6uVwgWypMHAJ8lm\nenfl+dnniIijahDbVl4HOT1eBzlNnSc6WFqct/Q4Z2ly3ppHmWXezgM+DtwCTAN+A+wB3FSDuMzM\nzMzM6qJMgfxu4M0R8T1gc/7vO4BjahJZBfcgp8c9yGlyf12anLf0OGdpct6aR5kCeRiwKL+9XtII\n4FHg8KpHZWZmZmZWJ2VO0ptL1lpxN/A34MvAGrIl32rKPci1s7hlI4+uWF9o7MvGjWD8qKGFxroH\nOU3ur0uT85Ye5yxNzlvzKFMgfxbYnN/+Z7Kr4I0ETqt2UNZ3lra2882/PlVo7H+98xDGj6pxQGZm\nZmZ1VmYd5LsjYlZ++7GImB4Rr4qImbULL+Me5PS4BzlN7q9Lk/OWHucsTc5b8yhcIEs6VtL++e0J\nkn4m6RJJ42sXnpmZmZlZ3ypzkt4PeL7F4jyy9owAflLtoLpyD3J6Jk97db1DsF5wf12anLf0OGdp\nct6aR5ke5D0jYmF+wZA3AfsAbcDSmkRmZmZmZlYHZWaQW/N2iqOAhyJiDSBgcE0iq+Ae5PS4BzlN\n7q9Lk/OWHucsTc5b8ygzg3wB2RJvQ4F/yve9Fnik2kGZmZmZmdVLmVUsvgm8EXhtRFye714MfLQW\ngVVyD3J63IOcJvfXpcl5S49zlibnrXmUmUEmIh7tvC3pWGBLRNxc9aisIT20bC1LWtsKjb1/6Zoa\nR2NmZmZWG4ULZEm3AGdHxG2SziK7WMgWSf8VEV+rWYRkPchTp06t5VNYAT+44+nCY1vnz2bnAzzz\nn5pbb73VMyQJct7S45ylyXlrHmVO0nsZ0Hnm1WnAscCrgNOrHZSZmZmZWb2UabEYACDpAICIeEiS\ngF1qEVgl9yCnx7PHafLMSJqct/Q4Z2ly3ppHmQL5NuD7wATgynzfAcCKagdlZmZmZlYvZVosTgFW\nA/cDX8n3HQKcX92QXsjrIKendb5zliKv8Zkm5y09zlmanLfmUXgGOSJWAmd32Xdt1SMyMzMzM6uj\nwjPIknaS9HVJT0hqzfcdJ+kfaxdexj3I6XEPcprcX5cm5y09zlmanLfmUabF4rvA/wHeD3Tk+x4C\nPlntoMzMzMzM6qVMgfwu4B8i4g4gACLiaWCvWgRWyT3I6XEPcprcX5cm5y09zlmanLfmUaZAbqNL\nz7Kk3YGVVY3IzMzMzKyOyhTI/wv8t6T9ASRNIFv27YpaBFbJPcjpcQ9ymtxflybnLT3OWZqct+ZR\npkD+IvAk8AAwGpgHLAXOqUFcZmZmZmZ1UbhAjoi2iDgDGAWMB0ZFxD9FRFvNosu5Bzk97kFOk/vr\n0uS8pcc5S5Pz1jzKXEkPScOBA4GRwIHZlaYhIm6vfmhmZmZmZn2vcIEs6WSynuN2YEOXuydWM6iu\n3IOcHvcgp8n9dWly3tLjnKXJeWseZWaQvw28OyJuqFUwZmZmZmb1VnaZt7/WKI4dcg9yetyDnCb3\n16XJeUuPc5Ym5615lJlB/jJwnqRzImJFrQJqRMvXtjP/2a5dJd2bOGYoe4/eqcYRmZmZmVmtlCmQ\nHwXOBT7VeXJeLiJiYFWj6qLePchr27bw5RueKDT2nOP2d4GMe5BT5f66NDlv6XHO0uS8NY8yBfLP\ngEuAX/HCk/TMzMzMzPqFMj3IuwJfiog5ETGv8qtWwXVyD3J63IOcJvfXpcl5S49zlibnrXmUKZAv\nAU6uVSBmZmZmZo2gTIH8KuBCSY9JmlnxdUuRB0u6WNIySXMq9o2VdEN+zOsljenusfXuQbby3IOc\nJvfXpcl5S49zlibnrXmU6UH+af7VVRR8/CXABWS9zJ0+D9wQEd+SdFa+/fkSMZmZmZmZVVXhGeSI\n+O/tfF1a8PEzgVVddr8d6Hz8pcA7u3use5DT4x7kNLm/Lk3OW3qcszQ5b82jTItFLYyLiGX57WXA\nuHoGY2ZmZmZWpsWipiIiJHXbrjFv3jw++clPMmnSJABGjx7N5MmTt/YCdf5GV6vte++6ndb5C7f2\n1XbOjm5vuxbxZBcq2a3Q89939x20jB1W+Pg9Ha+32516Gn/Pnbfz1MghfZbP/rC94LkNHHL4qwC4\n/547ADjsla95wfbwwQNYNW924eO/7nWva4jX5+3y250aJR5ve7s/bnfua5R4vP3C7Tlz5tDS0gLA\nwoULmTZtGtOnT6csRRRtIX7xJO0LXBMRk/PtucDREfGMpAnATRHxkq6Pu/HGG2Pq1Kl9FmdXTzy7\ngdOvnFto7DnH7c+rJ42uegwPLF3Lmdc+XmjsjBMOYvL4kYXG3rOolS/+af6LCe1Fu+jEQ5k4xhdX\nKeOLf5zPPYtbexw3ba9RfP3NB/ZBRGZmZo1n1qxZTJ8+XT2P3NYOWywk3Vlx+8u9CawHVwMfym9/\nCLiqu0HuQU6Pe5DT1HU20tLgvKXHOUuT89Y8eupBPlhS59TemS/miSRdDtwOHCJpkaQPA/8JvFHS\nY8Cx+baZmZmZWd0M6uH+3wGPS1oADJM0s5sxERFH9fREEfG+7dz1dz091usgp8frIKepss/O0uG8\npcc5S5Pz1jx2WCBHxIclvR7YB5gGXAh07ePouyZmMzMzM7Ma63GZt4iYGRE/B/4xIi7t7TrIL4Z7\nkNPjHuQ0ub8uTc5bepyzNDlvzaOnFoutIuIiSccAJwN7AYuBn0fEX2oVnJmZmZlZXyt8oRBJHwV+\nCSwFfgs8A/yPpNNqFNtW7kFOj3uQ0+T+ujQ5b+lxztLkvDWPwjPIwFnAGyPi/s4dkq4gK5Z/Uu3A\nzLqzuGUjy9du6nGcgP3HDmP0sDLf4mZmZmblCuSxwCNd9j0K7FK9cLo3e/Zs6nmhECuvdf7smswi\nP7J8Pd+++akexw0aIC456VBGN87FIpNQeYUoS4fzlh7nLE3OW/Mo3GIB3AacJ2kEgKSRwHfI1jY2\nMzMzM+sXyhTIpwMvB1okLQdWA4fl+2vKPcjpcQ9ymjwzkibnLT3OWZqct+ZRZhWLJcBRkiYCewJL\nImJRzSIzMzMzM6uDMjPIAETEooi4qy+LY6+DnB6vg5wmr/GZJuctPc5Zmpy35lG6QDYzMzMz68+S\nKJDdg5we9yCnyf11aXLe0uOcpcl5ax6FCmRJAyQdK2lorQMyMzMzM6unQifpRUSHpKsjYmStA+pO\nLdZBfm7dJha3biw0duPmjsLHXdraxgNL1xQau/uIIUzYuX/+zlFmHeSV69pZtaHni38ALFq94cWE\n1dAeX7meDZu29Dhu8ACxpm1zTWLor2t8rt6wiYWri33edx0+hL1Gp/W57K9568+cszQ5b82jzFUU\nbpH0moi4o2bR9KG17Vs489p5VT/uD+98uvDYrx1/QL8tkMs46w/z6x1CQ/j1nOXcNH9VvcPolzZs\n6ij8eT/7mH2SK5DNzKy6yhTITwF/kHQVULmCRUTEl6ob1rbcg5we9yCnyTMjaXLe0uOcpcl5ax5l\nCuRhwFX57b3zfwVEVSMyMzMzM6ujwqtYRMQpFV8fzr9OiYgP1zJA8DrIKfI6yGnyGp9pct7S45yl\nyXlrHmVmkJF0KHASMC4iPiXpJcCQiHigJtGZmZmZmfWxwjPIkk4CbgH2Ak7Od48CzqtBXNtwD3J6\n3IOcJvfXpcl5S49zlibnrXmUuVDIucAbI+LjQOcaU7MBV0JmZmZm1m+UKZB3B7prpSi+SHAvuQc5\nPe5BTpP769LkvKXHOUuT89Y8yvQgzwI+CFxase/vgburGtF2PLRsbY9jdhk2mD29rrBZsta2bWbh\n6o2FlsYZs9Mg9hq9U81j6k+WrWlj5fpiF+XZfcRg9hjpn6dm1pzKFMifBm6QdCowXNL1wMHAcTWJ\nrMKUKVM445rHexz3uTfs4wK5QbgHOU317q/buLmDf/vTE6xt7/mKgp8+cm8XyLmieVu6pp3PXVfs\nginfe9tBLpBrqN6fNesd5615FC6QI2JuvmrFCcDvgYXAtRFR7LrKZmZmZmYJKNODTESsA24D/grM\n7Kvi2D3I6XEPcprcX5cm5y09zlmanLfmUWaZt0mSZgILyGaQn5I0U9I+tQrOzMzMzKyvlZlB/hnw\nN2B0ROwBjAHuZduT9mrC6yCnxz3IaXJ/XZqct/Q4Z2ly3ppHmZP0pgLHRUQ7QESslXQW8GxNIjMz\nMzMzq4MyM8h3Akd02fdK4I7qhdM99yCnxz3IaXJ/XZqct/Q4Z2ly3prHDmeQJZ0LBCBgPnCdpN8D\ni4GJwFuAX9Q6SDMzMzOzvtJTi8VE2GbN/t/m/+4OtAFXAsNqENc2pkyZwhWzav0sVk317kGOCNa2\nb2H1inV1i2GAxKQxQxk6aGDdYtiwqYMnn9tA+5aeL3g5ZOCAwv11bZu3sHB1Gx3R8yU9hg0ayKRd\nvF5xLdW7L/KZNW20bNxcaOzuI4YwdvjgGkfU+OqdM+sd56157LBAjohT+igOs6raEvCJKx+tawx7\n7jyUC95+MEPLdPpX2UPL1/Hx384tNPbo/cfwhWP3KzS2fXPw9b8s4OnWth7HvvewPfjIK/cqdFxL\n04JVG/nS9U8UGvujd73EBbKZNbxS6yBLGi7p5ZKOrPyqVXCd3IOcHvcgp8n9dWly3tLjnKXJeWse\nhee2JJ0MfB9oBzZ0uXtiNYMyMzMzM6uXMjPI3wbeHRG7RcTEyq9aBdfJ6yCnp949yNY77q9Lk/OW\nHucsTc5b8yjTHdlGdonpqpO0AGgFtgCbIqLrcnJmZmZmZn2izAzyl4HzJO1egzgCODoiDu+uOHYP\ncnrcg5wm99elyXlLj3OWJueteZQpkB8F3gUsk9RR8bWlSrGoSscxMzMzM+u1MgXyz4BLgMOAgyu+\nDqlCHAH8WdK9kj7W9U73IKfHPchpcn9dmpy39DhnaXLemkeZHuRdgS9FFLgyQHmvjYilefvGDZLm\nRsTMsgd5bv0m5q1cX2jslpq8DLPndXQEz23YxLK17T2OHTxQrG+v1h9jmkOZz/vAAbX5A9WqDZt4\ndt2mQmNH7TSIcSOH1CQOMzOrrjIF8iXAycCl1Q4iIpbm/66QdCVwBLC1QD7//PN5YkkbQ3cZD8DA\nYSMYvueBW2cpO/tdLwS45/ntrvc32jYcADzf09T5m2l32/Of3QDsVuj49919By1jh+3weJXbtXh9\n65fMY/zrT6zr+1vvbQ6Ywsd+M7dh4ukx3v2P3qa/bkffP1kxv3uh48+7/x5ubXuy8PfjqsfvY8Pm\njh7j/QVT+MXsZVV/Px78250MXrpzoXhXb9jMB2b8stDxzzv9XYwbOaTQ573s9pw5c/jEJz5RaHzx\nn08HFX7+h5etA/YodPx777qdJTsPrerrT3G7c1+jxOPtYts//OEPmTx5csPE4+3ufx62tLQAsHDh\nQqZNm8b06dMpS0UnhCXdRla4Pgksq7grIuKo0s/8/HGHAwMjYo2kEcD1wFcj4vrOMTNmzIgrOg7v\n7VM0rK8dfwCv3HvnQmMfWLqWM699vNDYGSccxOTxIwuNvWdRK1/80/xCY8tonT/bbRaJOXr/MRw1\n5OlCf0Jcs3Ezn7n6sapfSW/lunZO+81c1tZxNv3sY/bhmAPGFhr75HMbCl+p8Ctv3I8j9xnzYkLb\nrltvvbVQ3mYvWcPnrptX6Jjfe9tBvHRcsZ8jdy5sKXUlvf13HVZobH9WNGfWWJy39MyaNYvp06eX\n/jNimRnkn+ZfXb3YXoVxwJWSOuP5RWVxDFkP8hWzXuSzWJ9ycZwm/+BPk/OWHucsTc5b8yhcIEfE\nf9cigIh4EnA1ZWZmZmYNofAqFpJOlfSR7r5qGSB4HeQUeR3kNHmNzzQ5b+lxztLkvDWPMi0WH2Tb\ndorxZGeZ3QZcXM2gzMzMzMzqpUyLxdFd9+Wzxy+tZkDdcQ9yetyDnCb316XJeUuPc5Ym5615lLlQ\nSHcuBU6tRiBmZmZmZo2g8AyypK7F9HCytotVVY2oG1kPcv9b5m3jpi08+dyGQmPbt3TUOJrq8jJv\naarFEkZr2zpYuHoDRb6FBw3Qi14WpxmltPRUe0dH4Z97Y4cPZvROZToB05FSzux5zlvzKPOTZ3M3\n+54GXnBpaCvm3BsX1DsEs5r7/dyV/H7uynqHYQ3iM797rPDYn7770H5bIJtZYyvzk2f/LtvrImJF\nNYPZHvcgp8ezx2nyzEianLf0OGdpct6aR5mT9BbUMA4zMzMzs4bQ40l6km7q4esvtQ7S6yCnx+sg\np8lrfKbJeUuPc5Ym5615FJlB/kU3+wLYC/gs2cl6ZmZmZmb9Qo8FckRcWLktaTfg82Qn5/0SOKc2\noT3PPcjpcQ9ymtxflybnLT3OWZqct+ZR5lLToyWdC8wju4re1Ig4LSIW1yw6MzMzM7M+VqQHebik\ns4EnyK6a99qI+EBEzK95dDn3IKfHPchpcn9dmpy39DhnaXLemkeRHuQnyQrpbwH3AuMkjascEBE1\nP1HPiuvoCBat3lho7KaOtC5AYpaq9s0dhT+XwwcPYNcRQwqNfW79JpavbS907C0dvgwLwIq17Wzc\nXOxn327DBzNsyMAaR2RmjaZIgdx5yaPTdzBmvyrEsl3uQS7nX6+bV+8Q3IOcKPfX1c7Xb3qq8Nj/\neNMBhQvkJa1t/GjxLvzo14/0NrSm87enWzlv5qIexw0bPIALTzy0JgWyP2tpct6aR5GT9PbtgzjM\nzMzMzBpC4ZP06sk9yOlxD3Ka3F+XJn/e0uPPWpqct+aRRIFsZmZmZtZXkiiQp0xxP2tq3IOcJvfX\npcmft/T4s5Ym5615JFEgm5mZmZn1lSQKZPcgp8c9kWlyf12a/HlLjz9raXLemkcSBbKZmZmZWV8p\nsg5y3Xkd5PS4JzI9WzqCg6ccwZLWth7HDhqgPoioPto3R6H3AKBWb0NE8Rik/vt5GyAKvw+jdxrE\niIQu6FGml/WZNW0UvcbLuJFDGJjI57NtcwfPrt9UaOzgAWL3kcXWBi9jXfsWWjZuLjx+/5e/stD3\n5NCBKryWea2s3rCJ9ZuKXRBn2KAB7DJ8cI0j2rFn12+ireAFfEYNHcioobUtYZMokM2s9mYuaGHm\ngpZ6h1F3M2YurHcI/Pv1T9Q7hIZwaomLn1xy0kuTKpDL+PmsZ7j+8ed6HPeS3Ycz44SDGEgaBfKG\nTVv43HWPs3xtz0Xyh14xgfcfPr7qMaxp28wpv3q46sf94rH78ob961sgP93axhnXPF5o7LffcmDd\nC+RHl6/jK39+stDYn7z7JTUvkJNosXAPcnrcE5km5y1Nzlt63MuaJn/WmkcSBbKZmZmZWV9JokD2\nOsjp6a89kf2d85Ym5y09Xk83Tf6sNY8kCmQzMzMzs76SRIHsHuT0uE8rTc5bmpy39LgHOU3+rDWP\nJApkMzMzM7O+kkSB7B7k9LhPK03OW5qct/S4BzlN/qw1D6+DbGZmLzBwgFi2puDFSmocSxGDnHaY\neQAADUlJREFUBlA43vYtBa+6ARDFj1vG2GGDGTyo+nNUrW2b2Vzw9Y0bNbTQuC0dwcp17S8mrG4N\nUPHvnM1bguVr24kokbsCBpaIoYyo0fdNGWVe24ASn/edBg9k9E79v3xUtb/ZamHGjBlxRcfh9Q7D\nSmidP9u/aSfIeUtTLfJW5mJsEVDv/0lqFW8tLko3ftRQ3rfbCt507BsKjf/OzU8VulAIFI/3sAmj\n+OZbDiw0tm3zFv712nk8tnJ9sYOXUPQKgSK7amQtFI0Bin/WahlvGUVfW5nv8xlvPYiXjR/Zu4B2\n4PYFq0tdKGTfXYYVGjtr1iymT59eOhv9/1cAMzMrrUzR0AhqFW8tjttRw4mpovGWjWFLRF2/J4Ls\nF5tUpBZvap/3vuAeZKsJz0KmyXlLk/OWntcc+dp6h2C94M9a80iiQDYzMzMz6ysNUSBLOl7SXEmP\nSzqr6/1eBzk9XisyTc5bmpy39Nxx+231DsF6wZ+15lH3AlnSQOD7wPHAS4H3STq0csy8efPqEZq9\nCOuXOGcpct7S5Lyl5+EHH6x3CNYL/qylp7eTrHUvkIEjgHkRsSAiNgFXAO+oHLBu3bq6BGa9t2WD\nc5Yi5y1Nzlt6Wltb6h2C9YI/a+m5//77e/W4RiiQ9wIWVWwvzveZmZmZmfW5RljmrcfFRZ555hk+\n/lHXzCm5+MZWPvIq5yw1zluanLe07DZiML+8eXHh8Se9fA/2G1tszdeiDt59eOGxQwcN5JRX7MnC\n1RurGkOK/FmjJmsgAxy57xg+XvC9LboG8ovRCAXy08DEiu2JZLPIWx1wwAHccuHXtm4fdthhXvqt\nwb37ja9jv03F/wOwxuC8pcl5S8xqmDZtGrNmzSr8kP2qHMKmJTBrSfHxA2sQQ4r8WYNZs2r3+ot+\nj+0ohtmzZ2/TVjFixIhexVL3K+lJGgQ8CkwHlgB3A++LiEfqGpiZmZmZNaW6zyBHxGZJ/wj8ieyX\n1ItcHJuZmZlZvdR9BtnMzMzMrJE0wioW29XTBUSsMUi6WNIySXMq9o2VdIOkxyRdL2lMPWO0bUma\nKOkmSQ9JelDSZ/L9zlsDk7STpLskzZb0sKRv5PudtwYnaaCk+yRdk287Zw1O0gJJD+R5uzvf57w1\nOEljJP1a0iP5z8lX9SZvDVsgF7mAiDWMS8jyVOnzwA0RcTBwY75tjWM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290 | "text/plain": [ 291 | "" 292 | ] 293 | }, 294 | "metadata": {}, 295 | "output_type": "display_data" 296 | } 297 | ], 298 | "source": [ 299 | "fig = plt.figure(figsize=(10,7))\n", 300 | "ax = fig.add_subplot(211)\n", 301 | "\n", 302 | "order = np.sort(messages['year_month'].unique())\n", 303 | "sns.boxplot(x=messages['year_month'], y=messages['time_delay_seconds'], order=order, orient=\"v\", color=colors[5], linewidth=1, ax=ax)\n", 304 | "_ = ax.set_title('Response time distribution by month')\n", 305 | "_ = ax.set_xlabel('Month-Year')\n", 306 | "_ = ax.set_ylabel('Response time')\n", 307 | "_ = plt.xticks(rotation=30)\n", 308 | "\n", 309 | "ax = fig.add_subplot(212)\n", 310 | "plt.hist(messages['time_delay_seconds'].values, range=[0, 60], bins=60, histtype='stepfilled', color=colors[0])\n", 311 | "_ = ax.set_title('Response time distribution')\n", 312 | "_ = ax.set_xlabel('Response time (seconds)')\n", 313 | "_ = ax.set_ylabel('Number of messages')\n", 314 | "\n", 315 | "plt.tight_layout()" 316 | ] 317 | }, 318 | { 319 | "cell_type": "markdown", 320 | "metadata": {}, 321 | "source": [ 322 | "Ok, so the above plots give a monthly and an overall perspective on the length of time (seconds) that it takes me to respond to messages. At this point I have a lot of questins that I want to ask of the data. Such as:\n", 323 | "1. Is my response time affected by who I am talking to?\n", 324 | "2. Are there environmental factors that affect my response time (day of week, location etc)\n", 325 | "3. When is the best and worst day to get in touch with me?\n", 326 | "\n", 327 | "Before we try and answer some of these questions, lets take some baby steps by estimating some parameters of a model that describe the above data. That'll make it easier for us to understand the data and enquire further.\n", 328 | "\n", 329 | "Move onto the next section where we'll estimate parameters that describe the above distribution.\n", 330 | "\n", 331 | "### Export data for usage throughout tutorial" 332 | ] 333 | }, 334 | { 335 | "cell_type": "code", 336 | "execution_count": 12, 337 | "metadata": { 338 | "collapsed": false 339 | }, 340 | "outputs": [], 341 | "source": [ 342 | "# excluded some colums from csv output\n", 343 | "messages.drop(['participants', 'message', 'participants_str'], axis=1, inplace=True)\n", 344 | "\n", 345 | "# Save csv to data folder\n", 346 | "messages.to_csv('data/hangout_chat_data.csv', index=False)" 347 | ] 348 | }, 349 | { 350 | "cell_type": "markdown", 351 | "metadata": {}, 352 | "source": [ 353 | "### References\n", 354 | "1. [Hangout reader](https://bitbucket.org/dotcs/hangouts-log-reader/) by Fabian Mueller" 355 | ] 356 | }, 357 | { 358 | "cell_type": "code", 359 | "execution_count": 73, 360 | "metadata": { 361 | "collapsed": false 362 | }, 363 | "outputs": [ 364 | { 365 | "data": { 366 | "text/html": [ 367 | "\n", 428 | "\n" 443 | ], 444 | "text/plain": [ 445 | "" 446 | ] 447 | }, 448 | "execution_count": 73, 449 | "metadata": {}, 450 | "output_type": "execute_result" 451 | } 452 | ], 453 | "source": [ 454 | "# Apply pretty styles\n", 455 | "from IPython.core.display import HTML\n", 456 | "\n", 457 | "def css_styling():\n", 458 | " styles = open(\"styles/custom.css\", \"r\").read()\n", 459 | " return HTML(styles)\n", 460 | "css_styling()" 461 | ] 462 | } 463 | ], 464 | "metadata": { 465 | "kernelspec": { 466 | "display_name": "Python 3", 467 | "language": "python", 468 | "name": "python3" 469 | }, 470 | "language_info": { 471 | "codemirror_mode": { 472 | "name": "ipython", 473 | "version": 3 474 | }, 475 | "file_extension": ".py", 476 | "mimetype": "text/x-python", 477 | "name": "python", 478 | "nbconvert_exporter": "python", 479 | "pygments_lexer": "ipython3", 480 | "version": "3.5.0" 481 | } 482 | }, 483 | "nbformat": 4, 484 | "nbformat_minor": 0 485 | } 486 | -------------------------------------------------------------------------------- /data/hangout_chat_data.csv: -------------------------------------------------------------------------------- 1 | conversation_id,event_id,timestamp,sender,message_length,num_participants,message_type,prev_timestamp,prev_sender,time_delay_seconds,time_delay_mins,day_of_week,year_month,is_weekend 2 | Ugw5Xrm3ZO5mzAfKB7V4AaABAQ,7-H0Z7-FkyB7-HDBYj4KKh,2014-08-15 03:44:12,Mark Regan,14,3,TEXT,2014-08-15 03:44:00,John,12.0,1.0,4,2014-08,0 3 | UgwUBKMcZgFowQTz1Rt4AaABAQ,7-H0Z7-HQQg7-H1JJEmE5K,2013-12-19 02:49:28,Mark Regan,44,2,TEXT,2013-12-19 02:48:50,Peter,38.0,1.0,3,2013-12,0 4 | UgwUBKMcZgFowQTz1Rt4AaABAQ,7-H0Z7-HQQg7-H1NQV6lMv,2013-12-19 02:50:02,Mark Regan,29,2,TEXT,2013-12-19 02:49:50,Peter,12.0,1.0,3,2013-12,0 5 | UgwUBKMcZgFowQTz1Rt4AaABAQ,7-H0Z7-HQQg7-H1RPd1OTh,2013-12-19 02:50:34,Mark Regan,102,2,TEXT,2013-12-19 02:50:11,Peter,23.0,1.0,3,2013-12,0 6 | UgwUBKMcZgFowQTz1Rt4AaABAQ,7-H0Z7-HQQg7-H1XZ3YFlF,2013-12-19 02:51:25,Mark Regan,15,2,TEXT,2013-12-19 02:51:14,Peter,11.0,1.0,3,2013-12,0 7 | UgwUBKMcZgFowQTz1Rt4AaABAQ,7-H0Z7-HQQg7-HeFtekGdS,2013-12-19 08:38:32,Mark Regan,12,2,TEXT,2013-12-19 08:37:42,Peter,50.0,1.0,3,2013-12,0 8 | UgwUBKMcZgFowQTz1Rt4AaABAQ,7-H0Z7-HQQg7-HkgoerKmK,2013-12-19 09:34:46,Mark Regan,11,2,TEXT,2013-12-19 09:33:57,Peter,49.0,1.0,3,2013-12,0 9 | UgwUBKMcZgFowQTz1Rt4AaABAQ,7-H0Z7-HQQg7-HmF3bv7-r,2013-12-19 09:48:19,Mark Regan,21,2,TEXT,2013-12-19 09:47:56,Peter,23.0,1.0,3,2013-12,0 10 | UgwUBKMcZgFowQTz1Rt4AaABAQ,7-H0Z7-HQQg7-HmI0BKWsU,2013-12-19 09:48:43,Mark Regan,98,2,TEXT,2013-12-19 09:48:27,Peter,16.0,1.0,3,2013-12,0 11 | UgwWtlWIydxSdkSJchR4AaABAQ,7-H0Z7-1kA670UGpklXEIJ,2014-02-07 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10:38:59,Mark Regan,6,2,TEXT,2014-02-07 10:38:29,Paul,30.0,1.0,4,2014-02,0 19 | UgwWtlWIydxSdkSJchR4AaABAQ,7-H0Z7-1kA671qdHmjy_XC,2014-03-13 09:29:28,Mark Regan,9,2,TEXT,2014-03-13 09:29:14,Paul,14.0,1.0,3,2014-03,0 20 | UgwWtlWIydxSdkSJchR4AaABAQ,7-H0Z7-1kA671qdQeaCniz,2014-03-13 09:30:41,Mark Regan,43,2,TEXT,2014-03-13 09:30:24,Paul,17.0,1.0,3,2014-03,0 21 | UgwWtlWIydxSdkSJchR4AaABAQ,7-H0Z7-1kA671qdXxVJiRI,2014-03-13 09:31:41,Mark Regan,26,2,TEXT,2014-03-13 09:31:22,Paul,19.0,1.0,3,2014-03,0 22 | UgwWtlWIydxSdkSJchR4AaABAQ,7-H0Z7-1kA671qdi3RZmZn,2014-03-13 09:33:12,Mark Regan,72,2,TEXT,2014-03-13 09:32:44,Paul,28.0,1.0,3,2014-03,0 23 | UgwWtlWIydxSdkSJchR4AaABAQ,7-H0Z7-1kA671qdsVfydFR,2014-03-13 09:34:37,Mark Regan,66,2,TEXT,2014-03-13 09:34:06,Paul,31.0,1.0,3,2014-03,0 24 | UgwWtlWIydxSdkSJchR4AaABAQ,7-H0Z7-1kA671qdzyqa5dS,2014-03-13 09:35:38,Mark Regan,48,2,TEXT,2014-03-13 09:35:01,Paul,37.0,1.0,3,2014-03,0 25 | UgwcC5CBvr8ldZef7ex4AaABAQ,7-H0Z7-QaYe7-H0dGj0wQC,2015-03-31 12:03:03,Mark Regan,6,4,TEXT,2015-03-31 12:02:46,Mike,17.0,1.0,1,2015-03,0 26 | UgwcC5CBvr8ldZef7ex4AaABAQ,7-H0Z7-QaYe7-H0gm6vqvh,2015-03-31 12:03:32,Mark Regan,48,4,TEXT,2015-03-31 12:03:14,Mike,18.0,1.0,1,2015-03,0 27 | UgwkOiWSDzfqbZD63K94AaABAQ,7-H0Z7-2C9h7-H0_nz1fNg,2013-05-23 08:04:03,Mark Regan,23,2,TEXT,2013-05-23 08:03:50,Sarah,13.0,1.0,3,2013-05,0 28 | UgwkOiWSDzfqbZD63K94AaABAQ,7-H0Z7-2C9h7-H0c8XSjeo,2013-05-23 08:04:22,Mark Regan,16,2,TEXT,2013-05-23 08:04:13,Sarah,9.0,1.0,3,2013-05,0 29 | UgwkOiWSDzfqbZD63K94AaABAQ,7-H0Z7-2C9h7-H0fF-QBoS,2013-05-23 08:04:48,Mark Regan,24,2,TEXT,2013-05-23 08:04:29,Sarah,19.0,1.0,3,2013-05,0 30 | UgwkOiWSDzfqbZD63K94AaABAQ,7-H0Z7-2C9h7-H0jDG9mB5,2013-05-23 08:05:20,Mark Regan,9,2,TEXT,2013-05-23 08:05:13,Sarah,7.0,1.0,3,2013-05,0 31 | UgwkOiWSDzfqbZD63K94AaABAQ,7-H0Z7-2C9h7-H0oyNhwz7,2013-05-23 08:06:07,Mark Regan,39,2,TEXT,2013-05-23 08:05:39,Sarah,28.0,1.0,3,2013-05,0 32 | UgwkOiWSDzfqbZD63K94AaABAQ,7-H0Z7-2C9h7-H0xFldlNm,2013-05-23 08:07:15,Mark Regan,47,2,TEXT,2013-05-23 08:06:51,Sarah,24.0,1.0,3,2013-05,0 33 | UgwkOiWSDzfqbZD63K94AaABAQ,7-H0Z7-2C9h7-H19TJD67b,2013-05-23 08:09:03,Mark Regan,65,2,TEXT,2013-05-23 08:08:30,Sarah,33.0,1.0,3,2013-05,0 34 | UgwkOiWSDzfqbZD63K94AaABAQ,7-H0Z7-2C9h7-H1K8wZtB8,2013-05-23 08:10:31,Mark Regan,6,2,TEXT,2013-05-23 08:10:23,Sarah,8.0,1.0,3,2013-05,0 35 | UgwkOiWSDzfqbZD63K94AaABAQ,7-H0Z7-2C9h7-H1ZXS1QF-,2013-05-23 08:12:37,Mark Regan,50,2,TEXT,2013-05-23 08:12:12,Sarah,25.0,1.0,3,2013-05,0 36 | UgwkOiWSDzfqbZD63K94AaABAQ,7-H0Z7-2C9h7-H1d5s_nNN,2013-05-23 08:13:14,Mark Regan,14,2,TEXT,2013-05-23 08:13:04,Sarah,10.0,1.0,3,2013-05,0 37 | UgwkOiWSDzfqbZD63K94AaABAQ,7-H0Z7-2C9h7-H1i3INxFa,2013-05-23 08:13:55,Mark Regan,40,2,TEXT,2013-05-23 08:13:44,Sarah,11.0,1.0,3,2013-05,0 38 | UgwkOiWSDzfqbZD63K94AaABAQ,7-H0Z7-2C9h7-H1nVSAUF7,2013-05-23 08:14:40,Mark Regan,46,2,TEXT,2013-05-23 08:14:14,Sarah,26.0,1.0,3,2013-05,0 39 | UgwkOiWSDzfqbZD63K94AaABAQ,7-H0Z7-2C9h70NGQy5othi,2013-06-19 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16:42:38,Mark Regan,33,2,TEXT,2014-01-25 16:42:02,Siobhan,36.0,1.0,5,2014-01,1 47 | Ugwn_hjWEzXfJeG3yRB4AaABAQ,7-H0Z7-46Jt7-H6ACq4Sga,2014-01-25 16:54:35,Mark Regan,26,2,TEXT,2014-01-25 16:54:19,Siobhan,16.0,1.0,5,2014-01,1 48 | Ugwn_hjWEzXfJeG3yRB4AaABAQ,7-H0Z7-46Jt7023qqTgcF5,2014-02-13 17:17:06,Mark Regan,57,2,TEXT,2014-02-13 17:16:25,Siobhan,41.0,1.0,3,2014-02,0 49 | UgxFtG17etMDMNeK85t4AaABAQ,7-H0Z7-5skZ7-H0hN1BUhJ,2015-01-12 17:01:52,Mark Regan,27,4,TEXT,2015-01-12 17:01:20,Anna,32.0,1.0,0,2015-01,0 50 | UgxFtG17etMDMNeK85t4AaABAQ,7-H0Z7-5skZ7-Jm1bmg4TW,2015-01-13 18:42:40,Mark Regan,7,4,TEXT,2015-01-13 18:42:25,Siobhan,15.0,1.0,1,2015-01,0 51 | UgxFtG17etMDMNeK85t4AaABAQ,7-H0Z7-5skZ7-KCuysBdwQ,2015-01-13 22:46:18,Mark Regan,4,4,TEXT,2015-01-13 22:46:08,Anna,10.0,1.0,1,2015-01,0 52 | UgxFtG17etMDMNeK85t4AaABAQ,7-H0Z7-5skZ7-KD7RWYDsg,2015-01-13 22:48:08,Mark Regan,2,4,TEXT,2015-01-13 22:47:59,Anna,9.0,1.0,1,2015-01,0 53 | UgxJdiwfjdD_y1tmCrZ4AaABAQ,7-H0Z7-6epQ7-IlptT6OUK,2013-10-08 10:54:20,Mark Regan,18,2,TEXT,2013-10-08 10:54:10,Jen,10.0,1.0,1,2013-10,0 54 | UgxJdiwfjdD_y1tmCrZ4AaABAQ,7-H0Z7-6epQ7-JAHqc4Eh5,2013-10-08 14:36:45,Mark Regan,14,2,TEXT,2013-10-08 14:36:31,Jen,14.0,1.0,1,2013-10,0 55 | UgxJdiwfjdD_y1tmCrZ4AaABAQ,7-H0Z7-6epQ7-hrx-skDgW,2013-10-18 14:07:59,Mark Regan,32,2,TEXT,2013-10-18 14:07:25,Jen,34.0,1.0,4,2013-10,0 56 | UgxJdiwfjdD_y1tmCrZ4AaABAQ,7-H0Z7-6epQ7-hs-J5jM-_,2013-10-18 14:08:26,Mark Regan,5,2,TEXT,2013-10-18 14:08:20,Jen,6.0,1.0,4,2013-10,0 57 | UgxJdiwfjdD_y1tmCrZ4AaABAQ,7-H0Z7-6epQ7-hs5bQghpW,2013-10-18 14:09:18,Mark Regan,18,2,TEXT,2013-10-18 14:09:08,Jen,10.0,1.0,4,2013-10,0 58 | UgxJdiwfjdD_y1tmCrZ4AaABAQ,7-H0Z7-6epQ7-hs7eXcE2G,2013-10-18 14:09:35,Mark Regan,25,2,TEXT,2013-10-18 14:09:25,Jen,10.0,1.0,4,2013-10,0 59 | UgxOT8UpvdjnmQpwAKl4AaABAQ,7-H0Z7-0rlq77nsz-pkxI9,2014-07-15 13:09:46,Mark Regan,37,2,TEXT,2014-07-15 13:09:24,Matt,22.0,1.0,1,2014-07,0 60 | UgxOT8UpvdjnmQpwAKl4AaABAQ,7-H0Z7-0rlq77nt3c6mElr,2014-07-15 13:10:32,Mark Regan,23,2,TEXT,2014-07-15 13:10:23,Matt,9.0,1.0,1,2014-07,0 61 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7-kwKPI0tzP,2013-05-29 07:11:02,Mark Regan,43,2,TEXT,2013-05-29 07:10:56,Rob,6.0,1.0,2,2013-05,0 62 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7-kwOqjpcGv,2013-05-29 07:11:38,Mark Regan,36,2,TEXT,2013-05-29 07:11:23,Rob,15.0,1.0,2,2013-05,0 63 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7-kwRTvcsly,2013-05-29 07:12:00,Mark Regan,2,2,TEXT,2013-05-29 07:11:53,Rob,7.0,1.0,2,2013-05,0 64 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7-kwTQScOcJ,2013-05-29 07:12:16,Mark Regan,29,2,TEXT,2013-05-29 07:12:05,Rob,11.0,1.0,2,2013-05,0 65 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7-kwWFDsCx-,2013-05-29 07:12:39,Mark Regan,40,2,TEXT,2013-05-29 07:12:35,Rob,4.0,1.0,2,2013-05,0 66 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7-kyZB9YTyj,2013-05-29 07:30:32,Mark Regan,2,2,TEXT,2013-05-29 07:29:54,Rob,38.0,1.0,2,2013-05,0 67 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7-kygLV-Slc,2013-05-29 07:31:38,Mark Regan,22,2,TEXT,2013-05-29 07:31:32,Rob,6.0,1.0,2,2013-05,0 68 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7P33ZCakcjo,2015-02-17 01:33:23,Mark Regan,12,2,TEXT,2015-02-17 01:33:11,Rob,12.0,1.0,1,2015-02,0 69 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7P33djbq70w,2015-02-17 01:34:08,Mark Regan,77,2,TEXT,2015-02-17 01:33:58,Rob,10.0,1.0,1,2015-02,0 70 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7P33ih0RvL2,2015-02-17 01:34:49,Mark Regan,108,2,TEXT,2015-02-17 01:34:17,Rob,32.0,1.0,1,2015-02,0 71 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7P33lnNuEk4,2015-02-17 01:35:14,Mark Regan,26,2,TEXT,2015-02-17 01:35:04,Rob,10.0,1.0,1,2015-02,0 72 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7P33qIUp3xK,2015-02-17 01:35:51,Mark Regan,14,2,TEXT,2015-02-17 01:35:42,Rob,9.0,1.0,1,2015-02,0 73 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7P33vXCKOLj,2015-02-17 01:36:34,Mark Regan,83,2,TEXT,2015-02-17 01:36:33,Rob,1.0,1.0,1,2015-02,0 74 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7P33zqjb-wB,2015-02-17 01:37:09,Mark Regan,4,2,TEXT,2015-02-17 01:37:01,Rob,8.0,1.0,1,2015-02,0 75 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7P342sayQ8v,2015-02-17 01:37:42,Mark Regan,12,2,TEXT,2015-02-17 01:37:39,Rob,3.0,1.0,1,2015-02,0 76 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7P344m7dswx,2015-02-17 01:37:58,Mark Regan,19,2,TEXT,2015-02-17 01:37:55,Rob,3.0,1.0,1,2015-02,0 77 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7P349yD2v5C,2015-02-17 01:38:40,Mark Regan,122,2,TEXT,2015-02-17 01:38:07,Rob,33.0,1.0,1,2015-02,0 78 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7P34Lm-ogI1,2015-02-17 01:40:17,Mark Regan,45,2,TEXT,2015-02-17 01:40:08,Rob,9.0,1.0,1,2015-02,0 79 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7P34OZ_WAUF,2015-02-17 01:40:40,Mark Regan,22,2,TEXT,2015-02-17 01:40:30,Rob,10.0,1.0,1,2015-02,0 80 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7zS_gSk1gEG,2015-04-27 09:45:11,Mark Regan,5,2,TEXT,2015-04-27 09:45:03,Rob,8.0,1.0,0,2015-04,0 81 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7zS_iPP90HF,2015-04-27 09:45:27,Mark Regan,30,2,TEXT,2015-04-27 09:45:17,Rob,10.0,1.0,0,2015-04,0 82 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7zS_jmIPPC8,2015-04-27 09:45:38,Mark Regan,16,2,TEXT,2015-04-27 09:45:35,Rob,3.0,1.0,0,2015-04,0 83 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7zS_kBLw67j,2015-04-27 09:45:41,Mark Regan,16,2,TEXT,2015-04-27 09:45:39,Rob,2.0,1.0,0,2015-04,0 84 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7zS_khuIDhi,2015-04-27 09:45:46,Mark Regan,4,2,TEXT,2015-04-27 09:45:43,Rob,3.0,1.0,0,2015-04,0 85 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7zS_njKU8JB,2015-04-27 09:46:10,Mark Regan,52,2,TEXT,2015-04-27 09:45:53,Rob,17.0,1.0,0,2015-04,0 86 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7zS_pNOHGW2,2015-04-27 09:46:24,Mark Regan,37,2,TEXT,2015-04-27 09:46:12,Rob,12.0,1.0,0,2015-04,0 87 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7zS_vxttpzK,2015-04-27 09:47:18,Mark Regan,42,2,TEXT,2015-04-27 09:46:46,Rob,32.0,1.0,0,2015-04,0 88 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7zSa-NVaS9i,2015-04-27 09:47:54,Mark Regan,35,2,TEXT,2015-04-27 09:47:45,Rob,9.0,1.0,0,2015-04,0 89 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7zSa469_qlZ,2015-04-27 09:48:33,Mark Regan,19,2,TEXT,2015-04-27 09:48:06,Rob,27.0,1.0,0,2015-04,0 90 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7zSa6d97LcV,2015-04-27 09:48:53,Mark Regan,17,2,TEXT,2015-04-27 09:48:46,Rob,7.0,1.0,0,2015-04,0 91 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7zSa9ga2YJU,2015-04-27 09:49:18,Mark Regan,37,2,TEXT,2015-04-27 09:49:15,Rob,3.0,1.0,0,2015-04,0 92 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7zSaF1mw3gv,2015-04-27 09:50:02,Mark Regan,5,2,TEXT,2015-04-27 09:49:56,Rob,6.0,1.0,0,2015-04,0 93 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7zSbbXea4W2,2015-04-27 10:01:59,Mark Regan,50,2,TEXT,2015-04-27 10:01:37,Rob,22.0,1.0,0,2015-04,0 94 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7zSbfTeXFsg,2015-04-27 10:02:31,Mark Regan,5,2,TEXT,2015-04-27 10:02:28,Rob,3.0,1.0,0,2015-04,0 95 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P7zSbqZ0DARV,2015-04-27 10:04:02,Mark Regan,20,2,TEXT,2015-04-27 10:03:52,Rob,10.0,1.0,0,2015-04,0 96 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P80DhrIdgUIM,2015-06-10 08:10:45,Mark Regan,10,2,TEXT,2015-06-10 08:10:26,Rob,19.0,1.0,2,2015-06,0 97 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P80DhvX0uc34,2015-06-10 08:11:19,Mark Regan,52,2,TEXT,2015-06-10 08:11:15,Rob,4.0,1.0,2,2015-06,0 98 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P80DhxZqG_a-,2015-06-10 08:11:36,Mark Regan,16,2,TEXT,2015-06-10 08:11:28,Rob,8.0,1.0,2,2015-06,0 99 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P80Di1Qs2Nf1,2015-06-10 08:12:16,Mark Regan,31,2,TEXT,2015-06-10 08:12:07,Rob,9.0,1.0,2,2015-06,0 100 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P80Di4ed_Y2o,2015-06-10 08:12:42,Mark Regan,86,2,TEXT,2015-06-10 08:12:17,Rob,25.0,1.0,2,2015-06,0 101 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P80Di907-oBA,2015-06-10 08:13:18,Mark Regan,38,2,TEXT,2015-06-10 08:13:18,Rob,0.0,0.0,2,2015-06,0 102 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P80DiAeMq0yl,2015-06-10 08:13:31,Mark Regan,6,2,TEXT,2015-06-10 08:13:27,Rob,4.0,1.0,2,2015-06,0 103 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P80DiPEdZWwU,2015-06-10 08:15:31,Mark Regan,116,2,TEXT,2015-06-10 08:14:57,Rob,34.0,1.0,2,2015-06,0 104 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P80DiQa7FAv_,2015-06-10 08:15:42,Mark Regan,29,2,TEXT,2015-06-10 08:15:40,Rob,2.0,1.0,2,2015-06,0 105 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P80DiTo_MZgc,2015-06-10 08:16:08,Mark Regan,55,2,TEXT,2015-06-10 08:15:57,Rob,11.0,1.0,2,2015-06,0 106 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P80DifR_x4ap,2015-06-10 08:17:52,Mark Regan,43,2,TEXT,2015-06-10 08:17:38,Rob,14.0,1.0,2,2015-06,0 107 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P80Div9FLSFD,2015-06-10 08:20:01,Mark Regan,7,2,TEXT,2015-06-10 08:19:57,Rob,4.0,1.0,2,2015-06,0 108 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P80DjFukHpe3,2015-06-10 08:22:59,Mark Regan,61,2,TEXT,2015-06-10 08:22:15,Rob,44.0,1.0,2,2015-06,0 109 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P80DjGqH7od4,2015-06-10 08:23:06,Mark Regan,7,2,TEXT,2015-06-10 08:22:59,Rob,7.0,1.0,2,2015-06,0 110 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P80DjIo41QR-,2015-06-10 08:23:23,Mark Regan,52,2,TEXT,2015-06-10 08:23:10,Rob,13.0,1.0,2,2015-06,0 111 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P80DjMzwcCb9,2015-06-10 08:23:57,Mark Regan,15,2,TEXT,2015-06-10 08:23:53,Rob,4.0,1.0,2,2015-06,0 112 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P80DjZWtSLjB,2015-06-10 08:25:39,Mark Regan,105,2,TEXT,2015-06-10 08:25:19,Rob,20.0,1.0,2,2015-06,0 113 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P80Djiu_NkOV,2015-06-10 08:27:05,Mark Regan,114,2,TEXT,2015-06-10 08:26:32,Rob,33.0,1.0,2,2015-06,0 114 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P80DjpvldMwI,2015-06-10 08:28:02,Mark Regan,33,2,TEXT,2015-06-10 08:27:59,Rob,3.0,1.0,2,2015-06,0 115 | UgxQl5RRoXW9eFABmNB4AaABAQ,7-H0Z7--n0P80Dk4tpf4nR,2015-06-10 08:30:13,Mark Regan,69,2,TEXT,2015-06-10 08:29:51,Rob,22.0,1.0,2,2015-06,0 116 | UgxWXVoT-QpMOp74XzZ4AaABAQ,7-H0Z7-ScCv7-H3TBORN4P,2014-12-18 04:48:24,Mark Regan,25,2,TEXT,2014-12-18 04:47:36,David,48.0,1.0,3,2014-12,0 117 | UgxWXVoT-QpMOp74XzZ4AaABAQ,7-H0Z7-ScCv7-H42NjDDmE,2014-12-18 04:53:28,Mark Regan,18,2,TEXT,2014-12-18 04:53:14,David,14.0,1.0,3,2014-12,0 118 | UgxZN55h4Vowjqt6ZHx4AaABAQ,80ZZ9NLYbYZ80ZZKShZc9q,2015-06-18 19:50:46,Mark Regan,9,2,TEXT,2015-06-18 19:50:36,Tom,10.0,1.0,3,2015-06,0 119 | UgxZN55h4Vowjqt6ZHx4AaABAQ,80ZZ9NLYbYZ80ugiU_mpvq,2015-06-27 10:07:23,Mark Regan,2,2,TEXT,2015-06-27 10:07:18,Tom,5.0,1.0,5,2015-06,1 120 | UgxZN55h4Vowjqt6ZHx4AaABAQ,80ZZ9NLYbYZ80uguGRXgoO,2015-06-27 10:09:00,Mark Regan,24,2,TEXT,2015-06-27 10:08:17,Tom,43.0,1.0,5,2015-06,1 121 | UgxZN55h4Vowjqt6ZHx4AaABAQ,80ZZ9NLYbYZ80ugxns8XBN,2015-06-27 10:09:29,Mark Regan,6,2,TEXT,2015-06-27 10:09:19,Tom,10.0,1.0,5,2015-06,1 122 | UgxZN55h4Vowjqt6ZHx4AaABAQ,80ZZ9NLYbYZ80uh27_MrX-,2015-06-27 10:10:12,Mark Regan,54,2,TEXT,2015-06-27 10:09:51,Tom,21.0,1.0,5,2015-06,1 123 | UgxZN55h4Vowjqt6ZHx4AaABAQ,80ZZ9NLYbYZ80uhDtzrxKX,2015-06-27 10:11:49,Mark Regan,75,2,TEXT,2015-06-27 10:11:17,Tom,32.0,1.0,5,2015-06,1 124 | UgxZN55h4Vowjqt6ZHx4AaABAQ,80ZZ9NLYbYZ80uhJOwsslQ,2015-06-27 10:12:34,Mark Regan,55,2,TEXT,2015-06-27 10:12:11,Tom,23.0,1.0,5,2015-06,1 125 | UgxZN55h4Vowjqt6ZHx4AaABAQ,80ZZ9NLYbYZ80uhZP3VBvx,2015-06-27 10:14:45,Mark Regan,21,2,TEXT,2015-06-27 10:14:33,Tom,12.0,1.0,5,2015-06,1 126 | UgxgUh76-QZsdwu_tWp4AaABAQ,7-H0Z7-K_lV7IUI2IT_mjm,2014-09-17 16:04:51,Mark Regan,33,2,TEXT,2014-09-17 16:04:32,Stephen,19.0,1.0,2,2014-09,0 127 | UgxljLBuy0t3xRHyJ0d4AaABAQ,7-H0Z7-Alj37-dGCBEPmtt,2013-06-20 20:21:48,Mark Regan,4,2,TEXT,2013-06-20 20:21:41,Brid,7.0,1.0,3,2013-06,0 128 | UgxljLBuy0t3xRHyJ0d4AaABAQ,7-H0Z7-Alj37-dGCrwth97,2013-06-20 20:21:54,Mark Regan,27,2,TEXT,2013-06-20 20:21:49,Brid,5.0,1.0,3,2013-06,0 129 | UgxljLBuy0t3xRHyJ0d4AaABAQ,7-H0Z7-Alj37-dGFH5TM2N,2013-06-20 20:22:13,Mark Regan,4,2,TEXT,2013-06-20 20:22:03,Brid,10.0,1.0,3,2013-06,0 130 | UgxljLBuy0t3xRHyJ0d4AaABAQ,7-H0Z7-Alj37-dGKLvDRGl,2013-06-20 20:22:55,Mark Regan,50,2,TEXT,2013-06-20 20:22:35,Brid,20.0,1.0,3,2013-06,0 131 | UgxljLBuy0t3xRHyJ0d4AaABAQ,7-H0Z7-Alj371i9bKBGv_5,2013-08-11 11:03:12,Mark Regan,11,2,TEXT,2013-08-11 11:02:22,Brid,50.0,1.0,6,2013-08,1 132 | UgxljLBuy0t3xRHyJ0d4AaABAQ,7-H0Z7-Alj371i9ko9vbXl,2013-08-11 11:04:29,Mark Regan,2,2,TEXT,2013-08-11 11:04:02,Brid,27.0,1.0,6,2013-08,1 133 | UgxljLBuy0t3xRHyJ0d4AaABAQ,7-H0Z7-Alj371i9sYKT52V,2013-08-11 11:05:33,Mark Regan,73,2,TEXT,2013-08-11 11:04:39,Brid,54.0,1.0,6,2013-08,1 134 | UgxljLBuy0t3xRHyJ0d4AaABAQ,7-H0Z7-Alj371i9yrynJWO,2013-08-11 11:06:24,Mark Regan,19,2,TEXT,2013-08-11 11:06:23,Brid,1.0,1.0,6,2013-08,1 135 | UgxljLBuy0t3xRHyJ0d4AaABAQ,7-H0Z7-Alj373juVI651fg,2013-09-30 20:23:42,Mark Regan,7,2,TEXT,2013-09-30 20:23:22,Brid,20.0,1.0,0,2013-09,0 136 | UgxljLBuy0t3xRHyJ0d4AaABAQ,7-H0Z7-Alj373juZzBEA_a,2013-09-30 20:24:20,Mark Regan,57,2,TEXT,2013-09-30 20:23:55,Brid,25.0,1.0,0,2013-09,0 137 | UgxljLBuy0t3xRHyJ0d4AaABAQ,7-H0Z7-Alj373judyItiuG,2013-09-30 20:25:01,Mark Regan,34,2,TEXT,2013-09-30 20:24:52,Brid,9.0,1.0,0,2013-09,0 138 | UgxljLBuy0t3xRHyJ0d4AaABAQ,7-H0Z7-Alj373juhVHLxGG,2013-09-30 20:25:30,Mark Regan,35,2,TEXT,2013-09-30 20:25:18,Brid,12.0,1.0,0,2013-09,0 139 | UgxljLBuy0t3xRHyJ0d4AaABAQ,7-H0Z7-Alj373jujeiqN1G,2013-09-30 20:25:47,Mark Regan,25,2,TEXT,2013-09-30 20:25:37,Brid,10.0,1.0,0,2013-09,0 140 | UgxljLBuy0t3xRHyJ0d4AaABAQ,7-H0Z7-Alj373jupR9OGB6,2013-09-30 20:26:35,Mark Regan,13,2,TEXT,2013-09-30 20:26:03,Brid,32.0,1.0,0,2013-09,0 141 | UgxljLBuy0t3xRHyJ0d4AaABAQ,7-H0Z7-Alj373jv-oohanB,2013-09-30 20:28:08,Mark Regan,2,2,TEXT,2013-09-30 20:27:44,Brid,24.0,1.0,0,2013-09,0 142 | UgxljLBuy0t3xRHyJ0d4AaABAQ,7-H0Z7-Alj378RPxUAMV_q,2014-01-25 12:19:27,Mark Regan,5,2,TEXT,2014-01-25 12:19:10,Brid,17.0,1.0,5,2014-01,1 143 | Ugxn8r_pRc4pim7Q4IN4AaABAQ,7-H0Z7-9PwS76H-9M1Gjdj,2014-10-02 19:59:56,Mark Regan,52,2,TEXT,2014-10-02 19:59:21,Brian,35.0,1.0,3,2014-10,0 144 | Ugxn8r_pRc4pim7Q4IN4AaABAQ,7-H0Z7-9PwS76H-JVfb1Qd,2014-10-02 20:01:19,Mark Regan,1,2,TEXT,2014-10-02 20:00:48,Brian,31.0,1.0,3,2014-10,0 145 | UgxpScy_KNuh_-GF18V4AaABAQ,7-H0Z7-E9ur8-udBBWEVxY,2015-06-02 13:05:06,Mark Regan,31,2,TEXT,2015-06-02 13:05:05,Timothy,1.0,1.0,1,2015-06,0 146 | UgxpScy_KNuh_-GF18V4AaABAQ,7-H0Z7-E9ur8-udCYf96kt,2015-06-02 13:05:17,Mark Regan,15,2,TEXT,2015-06-02 13:05:15,Timothy,2.0,1.0,1,2015-06,0 147 | UgxpScy_KNuh_-GF18V4AaABAQ,7-H0Z7-E9ur814YSJIBPU3,2015-07-01 15:18:03,Mark Regan,12,2,TEXT,2015-07-01 15:17:07,Timothy,56.0,1.0,2,2015-07,0 148 | UgxpScy_KNuh_-GF18V4AaABAQ,7-H0Z7-E9ur814Ye3finCk,2015-07-01 15:19:47,Mark Regan,69,2,TEXT,2015-07-01 15:19:09,Timothy,38.0,1.0,2,2015-07,0 149 | UgxpScy_KNuh_-GF18V4AaABAQ,7-H0Z7-E9ur814YoOIebXG,2015-07-01 15:21:12,Mark Regan,57,2,TEXT,2015-07-01 15:21:11,Timothy,1.0,1.0,2,2015-07,0 150 | UgxpScy_KNuh_-GF18V4AaABAQ,7-H0Z7-E9ur814Yssgibiv,2015-07-01 15:21:49,Mark Regan,7,2,TEXT,2015-07-01 15:21:34,Timothy,15.0,1.0,2,2015-07,0 151 | UgxpScy_KNuh_-GF18V4AaABAQ,7-H0Z7-E9ur814YvAkl5JM,2015-07-01 15:22:07,Mark Regan,52,2,TEXT,2015-07-01 15:21:50,Timothy,17.0,1.0,2,2015-07,0 152 | UgxpScy_KNuh_-GF18V4AaABAQ,7-H0Z7-E9ur814ZfdBy20V,2015-07-01 15:28:44,Mark Regan,32,2,TEXT,2015-07-01 15:28:38,Timothy,6.0,1.0,2,2015-07,0 153 | UgxpScy_KNuh_-GF18V4AaABAQ,7-H0Z7-E9ur814ZoZCbVda,2015-07-01 15:29:57,Mark Regan,11,2,TEXT,2015-07-01 15:29:32,Timothy,25.0,1.0,2,2015-07,0 154 | UgxpScy_KNuh_-GF18V4AaABAQ,7-H0Z7-E9ur814_Ee_sqeW,2015-07-01 15:33:39,Mark Regan,133,2,TEXT,2015-07-01 15:32:48,Timothy,51.0,1.0,2,2015-07,0 155 | UgxpScy_KNuh_-GF18V4AaABAQ,7-H0Z7-E9ur814a-Ps3ucf,2015-07-01 15:40:19,Mark Regan,24,2,TEXT,2015-07-01 15:39:59,Timothy,20.0,1.0,2,2015-07,0 156 | Ugxs932onJNvVdGwUWB4AaABAQ,7-H0Z7--pFm7-H0tg6QSGQ,2014-08-13 07:18:32,Mark Regan,22,2,TEXT,2014-08-13 07:18:30,Sean,2.0,1.0,2,2014-08,0 157 | Ugxs932onJNvVdGwUWB4AaABAQ,7-H0Z7--pFm7-H10Rz1K--,2014-08-13 07:19:35,Mark Regan,77,2,TEXT,2014-08-13 07:19:13,Sean,22.0,1.0,2,2014-08,0 158 | Ugxs932onJNvVdGwUWB4AaABAQ,7-H0Z7--pFm7-H16uo5zYC,2014-08-13 07:20:28,Mark Regan,2,2,TEXT,2014-08-13 07:20:13,Sean,15.0,1.0,2,2014-08,0 159 | Ugy57QUyfbAP53nJEbh4AaABAQ,7-H0Z7-ODkv70CN-1UJMRc,2014-06-10 13:44:21,Mark Regan,57,4,TEXT,2014-06-10 13:43:58,Finbar,23.0,1.0,1,2014-06,0 160 | Ugy57QUyfbAP53nJEbh4AaABAQ,7-H0Z7-ODkv70CN7KMz77Y,2014-06-10 13:45:29,Mark Regan,16,4,TEXT,2014-06-10 13:45:19,Finbar,10.0,1.0,1,2014-06,0 161 | Ugy57QUyfbAP53nJEbh4AaABAQ,7-H0Z7-ODkv70CNJTIduPA,2014-06-10 13:47:09,Mark Regan,15,4,TEXT,2014-06-10 13:46:55,Mike,14.0,1.0,1,2014-06,0 162 | Ugy57QUyfbAP53nJEbh4AaABAQ,7-H0Z7-ODkv70CNMyXT9PK,2014-06-10 13:47:37,Mark Regan,32,4,TEXT,2014-06-10 13:47:24,Mike,13.0,1.0,1,2014-06,0 163 | Ugy57QUyfbAP53nJEbh4AaABAQ,7-H0Z7-ODkv70CNNpustJ8,2014-06-10 13:47:44,Mark Regan,25,4,TEXT,2014-06-10 13:47:41,Mike,3.0,1.0,1,2014-06,0 164 | Ugy57QUyfbAP53nJEbh4AaABAQ,7-H0Z7-ODkv70CNVEV5blN,2014-06-10 13:48:45,Mark Regan,43,4,TEXT,2014-06-10 13:48:27,Mike,18.0,1.0,1,2014-06,0 165 | Ugy57QUyfbAP53nJEbh4AaABAQ,7-H0Z7-ODkv70CNaPF5gvU,2014-06-10 13:49:36,Mark Regan,41,4,TEXT,2014-06-10 13:49:16,Mike,20.0,1.0,1,2014-06,0 166 | Ugy57QUyfbAP53nJEbh4AaABAQ,7-H0Z7-ODkv70CNfr4AULX,2014-06-10 13:50:20,Mark Regan,17,4,TEXT,2014-06-10 13:50:14,Mike,6.0,1.0,1,2014-06,0 167 | Ugy57QUyfbAP53nJEbh4AaABAQ,7-H0Z7-ODkv70CNms4J1kX,2014-06-10 13:51:18,Mark Regan,37,4,TEXT,2014-06-10 13:51:06,Mike,12.0,1.0,1,2014-06,0 168 | UgyC4e0B7ViOpR9zEch4AaABAQ,7-H0Z7-Q0zZ7-iqfMSRg9a,2013-05-28 10:56:49,Mark Regan,4,2,TEXT,2013-05-28 10:56:15,Dee,34.0,1.0,1,2013-05,0 169 | UgyC4e0B7ViOpR9zEch4AaABAQ,7-H0Z7-Q0zZ7-iqsfd5KjX,2013-05-28 10:58:38,Mark Regan,44,2,TEXT,2013-05-28 10:58:14,Dee,24.0,1.0,1,2013-05,0 170 | UgyC4e0B7ViOpR9zEch4AaABAQ,7-H0Z7-Q0zZ7-ir1Io-OF5,2013-05-28 10:59:57,Mark Regan,36,2,TEXT,2013-05-28 10:59:44,Dee,13.0,1.0,1,2013-05,0 171 | UgyC4e0B7ViOpR9zEch4AaABAQ,7-H0Z7-Q0zZ7-irXCseyao,2013-05-28 11:04:18,Mark Regan,39,2,TEXT,2013-05-28 11:03:54,Dee,24.0,1.0,1,2013-05,0 172 | UgyC4e0B7ViOpR9zEch4AaABAQ,7-H0Z7-Q0zZ76il5WgxF0U,2013-11-18 08:47:51,Mark Regan,20,2,TEXT,2013-11-18 08:47:26,Dee,25.0,1.0,0,2013-11,0 173 | UgyC4e0B7ViOpR9zEch4AaABAQ,7-H0Z7-Q0zZ76ilHqgBI5_,2013-11-18 08:49:32,Mark Regan,12,2,TEXT,2013-11-18 08:49:12,Dee,20.0,1.0,0,2013-11,0 174 | UgyC4e0B7ViOpR9zEch4AaABAQ,7-H0Z7-Q0zZ7Ai1dxLmsH4,2014-02-25 12:07:34,Mark Regan,15,2,TEXT,2014-02-25 12:06:35,Dee,59.0,1.0,1,2014-02,0 175 | UgyC4e0B7ViOpR9zEch4AaABAQ,7-H0Z7-Q0zZ7Ai1k-2_Iyl,2014-02-25 12:08:24,Mark Regan,29,2,TEXT,2014-02-25 12:07:56,Dee,28.0,1.0,1,2014-02,0 176 | UgyC4e0B7ViOpR9zEch4AaABAQ,7-H0Z7-Q0zZ7Ai1l6DXg6S,2014-02-25 12:08:33,Mark Regan,19,2,TEXT,2014-02-25 12:08:28,Dee,5.0,1.0,1,2014-02,0 177 | UgyDs6u_XqaAT-3S5Mp4AaABAQ,7-H0Z7-O_or70aXR67jHyN,2013-09-12 07:42:10,Mark Regan,40,4,TEXT,2013-09-12 07:41:51,Finbar,19.0,1.0,3,2013-09,0 178 | UgyDs6u_XqaAT-3S5Mp4AaABAQ,7-H0Z7-O_or70aXZnI2vmE,2013-09-12 07:43:21,Mark Regan,65,4,TEXT,2013-09-12 07:42:53,Finbar,28.0,1.0,3,2013-09,0 179 | UgyTo-_VjBjWvPUwarF4AaABAQ,7-H0Z7-SB6y74xRsqKXYtS,2013-11-03 12:10:10,Mark Regan,2,2,TEXT,2013-11-03 12:09:35,Finbar,35.0,1.0,6,2013-11,1 180 | UgyTo-_VjBjWvPUwarF4AaABAQ,7-H0Z7-SB6y780ET2s7lh8,2014-01-18 13:04:03,Mark Regan,8,2,TEXT,2014-01-18 13:03:57,Finbar,6.0,1.0,5,2014-01,1 181 | UgyTo-_VjBjWvPUwarF4AaABAQ,7-H0Z7-SB6y78UYqphHQZ7,2014-01-30 07:39:25,Mark Regan,7,2,TEXT,2014-01-30 07:39:11,Finbar,14.0,1.0,3,2014-01,0 182 | UgyTo-_VjBjWvPUwarF4AaABAQ,7-H0Z7-SB6y78UYzbb5W84,2014-01-30 07:40:37,Mark Regan,27,2,TEXT,2014-01-30 07:40:15,Finbar,22.0,1.0,3,2014-01,0 183 | UgyTo-_VjBjWvPUwarF4AaABAQ,7-H0Z7-SB6y78UZDrttkdF,2014-01-30 07:42:42,Mark Regan,10,2,TEXT,2014-01-30 07:42:23,Finbar,19.0,1.0,3,2014-01,0 184 | UgyTo-_VjBjWvPUwarF4AaABAQ,7-H0Z7-SB6y78weV1gayI1,2014-02-10 14:55:27,Mark Regan,8,2,TEXT,2014-02-10 14:55:10,Finbar,17.0,1.0,0,2014-02,0 185 | UgyTo-_VjBjWvPUwarF4AaABAQ,7-H0Z7-SB6y7BcvLLiWqiE,2014-04-18 13:32:03,Mark Regan,5,2,TEXT,2014-04-18 13:31:50,Finbar,13.0,1.0,4,2014-04,0 186 | UgyiX70mYXXhDdU3F_x4AaABAQ,7-H0Z7-MfQT7-H3dA1-liJ,2014-12-18 04:49:36,Mark Regan,102,3,TEXT,2014-12-18 04:49:09,Yonas,27.0,1.0,3,2014-12,0 187 | UgyiX70mYXXhDdU3F_x4AaABAQ,7-H0Z7-MfQT7-H3hFIGKGW,2014-12-18 04:50:10,Mark Regan,4,3,TEXT,2014-12-18 04:49:46,Yonas,24.0,1.0,3,2014-12,0 188 | Ugyo2_ArMaAY55bsggZ4AaABAQ,7-H0Z7-3Znr7-HJ9PrVbsZ,2013-09-05 14:53:35,Mark Regan,29,2,TEXT,2013-09-05 14:53:17,Mike,18.0,1.0,3,2013-09,0 189 | Ugyo2_ArMaAY55bsggZ4AaABAQ,7-H0Z7-3Znr7-HJCS26-yi,2013-09-05 14:53:59,Mark Regan,6,2,TEXT,2013-09-05 14:53:51,Mike,8.0,1.0,3,2013-09,0 190 | Ugyo2_ArMaAY55bsggZ4AaABAQ,7-H0Z7-3Znr7-HJL4n75wb,2013-09-05 14:55:10,Mark Regan,2,2,TEXT,2013-09-05 14:54:37,Mike,33.0,1.0,3,2013-09,0 191 | Ugyo2_ArMaAY55bsggZ4AaABAQ,7-H0Z7-3Znr7-HJWeoxrMr,2013-09-05 14:56:45,Mark Regan,10,2,TEXT,2013-09-05 14:56:18,Mike,27.0,1.0,3,2013-09,0 192 | Ugyo2_ArMaAY55bsggZ4AaABAQ,7-H0Z7-3Znr74hmSfUkOXf,2014-01-18 12:34:49,Mark Regan,50,2,TEXT,2014-01-18 12:34:30,Mike,19.0,1.0,5,2014-01,1 193 | Ugyo2_ArMaAY55bsggZ4AaABAQ,7-H0Z7-3Znr7IQEDVkpSIb,2014-12-25 07:00:06,Mark Regan,10,2,TEXT,2014-12-25 06:59:55,Mike,11.0,1.0,3,2014-12,0 194 | Ugyo2_ArMaAY55bsggZ4AaABAQ,7-H0Z7-3Znr7IQWbo2Zv5F,2014-12-25 09:40:50,Mark Regan,13,2,TEXT,2014-12-25 09:40:40,Mike,10.0,1.0,3,2014-12,0 195 | Ugyo2_ArMaAY55bsggZ4AaABAQ,7-H0Z7-3Znr7IQX06JrC7L,2014-12-25 09:44:18,Mark Regan,3,2,TEXT,2014-12-25 09:44:11,Mike,7.0,1.0,3,2014-12,0 196 | Ugyo2_ArMaAY55bsggZ4AaABAQ,7-H0Z7-3Znr7z0V6kRR0cb,2015-04-16 11:57:45,Mark Regan,30,2,TEXT,2015-04-16 11:57:16,Mike,29.0,1.0,3,2015-04,0 197 | UgyrVfM5PORmDYM9PJV4AaABAQ,7-H0Z7-4qLw71UjwncfQs-,2013-11-05 12:03:53,Mark Regan,26,2,TEXT,2013-11-05 12:03:47,Andrew,6.0,1.0,1,2013-11,0 198 | UgyrVfM5PORmDYM9PJV4AaABAQ,7-H0Z7-4qLw71Uk-iJ8j3O,2013-11-05 12:04:25,Mark Regan,13,2,TEXT,2013-11-05 12:04:13,Andrew,12.0,1.0,1,2013-11,0 199 | UgyrVfM5PORmDYM9PJV4AaABAQ,7-H0Z7-4qLw7GUhMSKY090,2014-11-13 07:32:13,Mark Regan,27,2,TEXT,2014-11-13 07:32:01,Andrew,12.0,1.0,3,2014-11,0 200 | UgyrVfM5PORmDYM9PJV4AaABAQ,7-H0Z7-4qLw7GUhenimQHI,2014-11-13 07:34:52,Mark Regan,145,2,TEXT,2014-11-13 07:34:06,Andrew,46.0,1.0,3,2014-11,0 201 | UgyrVfM5PORmDYM9PJV4AaABAQ,7-H0Z7-4qLw7Hm1oWipzBt,2014-12-15 06:57:25,Mark Regan,4,2,TEXT,2014-12-15 06:57:20,Andrew,5.0,1.0,0,2014-12,0 202 | UgyrVfM5PORmDYM9PJV4AaABAQ,7-H0Z7-4qLw7Hm1qWluO0G,2014-12-15 06:57:41,Mark Regan,29,2,TEXT,2014-12-15 06:57:30,Andrew,11.0,1.0,0,2014-12,0 203 | UgyrVfM5PORmDYM9PJV4AaABAQ,7-H0Z7-4qLw7Hm1snXN32m,2014-12-15 06:58:00,Mark Regan,9,2,TEXT,2014-12-15 06:57:49,Andrew,11.0,1.0,0,2014-12,0 204 | UgyrVfM5PORmDYM9PJV4AaABAQ,7-H0Z7-4qLw7Hm23fxMQ42,2014-12-15 06:59:37,Mark Regan,92,2,TEXT,2014-12-15 06:58:58,Andrew,39.0,1.0,0,2014-12,0 205 | UgyrVfM5PORmDYM9PJV4AaABAQ,7-H0Z7-4qLw7Hm25KnlGz9,2014-12-15 06:59:51,Mark Regan,53,2,TEXT,2014-12-15 06:59:47,Andrew,4.0,1.0,0,2014-12,0 206 | UgyrVfM5PORmDYM9PJV4AaABAQ,7-H0Z7-4qLw7Hm2EiGLPT3,2014-12-15 07:01:08,Mark Regan,23,2,TEXT,2014-12-15 07:00:58,Andrew,10.0,1.0,0,2014-12,0 207 | UgyrVfM5PORmDYM9PJV4AaABAQ,7-H0Z7-4qLw7Hm2uSmVOr-,2014-12-15 07:06:58,Mark Regan,3,2,TEXT,2014-12-15 07:06:33,Andrew,25.0,1.0,0,2014-12,0 208 | UgyrVfM5PORmDYM9PJV4AaABAQ,7-H0Z7-4qLw7Hm2xXoPs_a,2014-12-15 07:07:23,Mark Regan,4,2,TEXT,2014-12-15 07:07:12,Andrew,11.0,1.0,0,2014-12,0 209 | UgyrVfM5PORmDYM9PJV4AaABAQ,7-H0Z7-4qLw7LasIuyD2Ba,2015-03-20 09:59:31,Mark Regan,5,2,TEXT,2015-03-20 09:59:23,Andrew,8.0,1.0,4,2015-03,0 210 | UgyrVfM5PORmDYM9PJV4AaABAQ,7-H0Z7-4qLw7LasKwwOalw,2015-03-20 09:59:48,Mark Regan,12,2,TEXT,2015-03-20 09:59:43,Andrew,5.0,1.0,4,2015-03,0 211 | UgyrVfM5PORmDYM9PJV4AaABAQ,7-H0Z7-4qLw7LasN27ZXgK,2015-03-20 10:00:05,Mark Regan,36,2,TEXT,2015-03-20 09:59:55,Andrew,10.0,1.0,4,2015-03,0 212 | UgyrVfM5PORmDYM9PJV4AaABAQ,7-H0Z7-4qLw7LasNJDpdxS,2015-03-20 10:00:07,Mark Regan,3,2,TEXT,2015-03-20 10:00:05,Andrew,2.0,1.0,4,2015-03,0 213 | UgyrVfM5PORmDYM9PJV4AaABAQ,7-H0Z7-4qLw7LasS8UOrDU,2015-03-20 10:00:46,Mark Regan,12,2,TEXT,2015-03-20 10:00:16,Andrew,30.0,1.0,4,2015-03,0 214 | UgyrVfM5PORmDYM9PJV4AaABAQ,7-H0Z7-4qLw8-AYCLvRU-a,2015-05-15 06:08:31,Mark Regan,36,2,TEXT,2015-05-15 06:08:10,Andrew,21.0,1.0,4,2015-05,0 215 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT7-H0k27-7x1,2013-11-22 10:24:38,Mark Regan,57,2,TEXT,2013-11-22 10:23:44,Anna,54.0,1.0,4,2013-11,0 216 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT7-HmdYWj0JT,2013-11-22 17:31:55,Mark Regan,28,2,TEXT,2013-11-22 17:31:38,Anna,17.0,1.0,4,2013-11,0 217 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT7-HmnFpSYBg,2013-11-22 17:33:14,Mark Regan,43,2,TEXT,2013-11-22 17:33:07,Anna,7.0,1.0,4,2013-11,0 218 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT7-Hn4_Yb6Rt,2013-11-22 17:35:45,Mark Regan,97,2,TEXT,2013-11-22 17:34:46,Anna,59.0,1.0,4,2013-11,0 219 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT7-Hn8HBFTSG,2013-11-22 17:36:15,Mark Regan,21,2,TEXT,2013-11-22 17:35:50,Anna,25.0,1.0,4,2013-11,0 220 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT7-HnBj36I5C,2013-11-22 17:36:43,Mark Regan,29,2,TEXT,2013-11-22 17:36:26,Anna,17.0,1.0,4,2013-11,0 221 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT7-HnRS7-hMG,2013-11-22 17:38:52,Mark Regan,106,2,TEXT,2013-11-22 17:38:06,Anna,46.0,1.0,4,2013-11,0 222 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT7-HnfSpX9VU,2013-11-22 17:40:55,Mark Regan,31,2,TEXT,2013-11-22 17:40:01,Anna,54.0,1.0,4,2013-11,0 223 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT7-HngCr9OKa,2013-11-22 17:41:01,Mark Regan,12,2,TEXT,2013-11-22 17:41:01,Anna,0.0,0.0,4,2013-11,0 224 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT7-HoC2cgBGv,2013-11-22 17:45:30,Mark Regan,14,2,TEXT,2013-11-22 17:45:15,Anna,15.0,1.0,4,2013-11,0 225 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT7-HqpqNpHAR,2013-11-22 18:08:33,Mark Regan,45,2,TEXT,2013-11-22 18:07:42,Anna,51.0,1.0,4,2013-11,0 226 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT77IRRvUADsZ,2014-06-09 20:48:21,Mark Regan,16,2,TEXT,2014-06-09 20:47:51,Anna,30.0,1.0,0,2014-06,0 227 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT77XMCYdnYLk,2014-06-15 15:51:10,Mark Regan,7,2,TEXT,2014-06-15 15:50:39,Anna,31.0,1.0,6,2014-06,1 228 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT77XMEXa7gvJ,2014-06-15 15:51:26,Mark Regan,10,2,TEXT,2014-06-15 15:51:12,Anna,14.0,1.0,6,2014-06,1 229 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT77r3pQb5r_Z,2014-06-23 16:54:38,Mark Regan,7,2,TEXT,2014-06-23 16:54:22,Anna,16.0,1.0,0,2014-06,0 230 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT79KdaBSoUt5,2014-07-30 10:24:29,Mark Regan,10,2,TEXT,2014-07-30 10:24:03,Anna,26.0,1.0,2,2014-07,0 231 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT79Kdbc26MGX,2014-07-30 10:24:40,Mark Regan,14,2,TEXT,2014-07-30 10:24:32,Anna,8.0,1.0,2,2014-07,0 232 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT79KdgoWmu3S,2014-07-30 10:25:23,Mark Regan,39,2,TEXT,2014-07-30 10:25:21,Anna,2.0,1.0,2,2014-07,0 233 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT79Kdjwcy1CD,2014-07-30 10:25:49,Mark Regan,12,2,TEXT,2014-07-30 10:25:38,Anna,11.0,1.0,2,2014-07,0 234 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT79Kdr9V56fh,2014-07-30 10:26:48,Mark Regan,5,2,TEXT,2014-07-30 10:26:29,Anna,19.0,1.0,2,2014-07,0 235 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT7BOqv9Ms0Gz,2014-09-19 18:40:41,Mark Regan,11,2,TEXT,2014-09-19 18:40:35,Anna,6.0,1.0,4,2014-09,0 236 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT7BOqx6sEqrO,2014-09-19 18:40:57,Mark Regan,16,2,TEXT,2014-09-19 18:40:53,Anna,4.0,1.0,4,2014-09,0 237 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT7BOr0DQo5FS,2014-09-19 18:41:31,Mark Regan,45,2,TEXT,2014-09-19 18:41:09,Anna,22.0,1.0,4,2014-09,0 238 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT7BOr4aJXCF3,2014-09-19 18:42:07,Mark Regan,13,2,TEXT,2014-09-19 18:41:58,Anna,9.0,1.0,4,2014-09,0 239 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT7BOrL1U-pJg,2014-09-19 18:44:21,Mark Regan,6,2,TEXT,2014-09-19 18:44:20,Anna,1.0,1.0,4,2014-09,0 240 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT7Bq0YooELzu,2014-09-30 17:12:21,Mark Regan,4,2,TEXT,2014-09-30 17:12:14,Anna,7.0,1.0,1,2014-09,0 241 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT7Bq0orLUJIf,2014-09-30 17:14:41,Mark Regan,15,2,TEXT,2014-09-30 17:14:32,Anna,9.0,1.0,1,2014-09,0 242 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT7Bq10WTcQJz,2014-09-30 17:16:25,Mark Regan,53,2,TEXT,2014-09-30 17:15:50,Anna,35.0,1.0,1,2014-09,0 243 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT7ClX_XsneC0,2014-10-23 19:56:08,Mark Regan,8,2,TEXT,2014-10-23 19:55:50,Anna,18.0,1.0,3,2014-10,0 244 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT7EeUT35vHTt,2014-12-09 18:17:00,Mark Regan,7,2,TEXT,2014-12-09 18:16:51,Anna,9.0,1.0,1,2014-12,0 245 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT8-iMpYVGfSv,2015-05-28 18:42:34,Mark Regan,8,2,TEXT,2015-05-28 18:42:25,Anna,9.0,1.0,3,2015-05,0 246 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT80-P9Dt4K0Q,2015-06-04 18:49:12,Mark Regan,4,2,TEXT,2015-06-04 18:49:11,Anna,1.0,1.0,3,2015-06,0 247 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT80-PCd7OkEA,2015-06-04 18:49:40,Mark Regan,7,2,TEXT,2015-06-04 18:49:34,Anna,6.0,1.0,3,2015-06,0 248 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT80-PKJ7m6XC,2015-06-04 18:50:43,Mark Regan,58,2,TEXT,2015-06-04 18:50:06,Anna,37.0,1.0,3,2015-06,0 249 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT80-PN2gGq19,2015-06-04 18:51:05,Mark Regan,27,2,TEXT,2015-06-04 18:50:56,Anna,9.0,1.0,3,2015-06,0 250 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT80-PQwTG1ev,2015-06-04 18:51:37,Mark Regan,37,2,TEXT,2015-06-04 18:51:17,Anna,20.0,1.0,3,2015-06,0 251 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT80-PS_e2KVV,2015-06-04 18:51:50,Mark Regan,2,2,TEXT,2015-06-04 18:51:46,Anna,4.0,1.0,3,2015-06,0 252 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT80-PZhaofYs,2015-06-04 18:52:49,Mark Regan,22,2,TEXT,2015-06-04 18:52:16,Anna,33.0,1.0,3,2015-06,0 253 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT80-PreJC0Mi,2015-06-04 18:55:24,Mark Regan,52,2,TEXT,2015-06-04 18:55:13,Anna,11.0,1.0,3,2015-06,0 254 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT80-Pu14nXaL,2015-06-04 18:55:44,Mark Regan,4,2,TEXT,2015-06-04 18:55:39,Anna,5.0,1.0,3,2015-06,0 255 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT80-PvTPeLWh,2015-06-04 18:55:55,Mark Regan,22,2,TEXT,2015-06-04 18:55:51,Anna,4.0,1.0,3,2015-06,0 256 | UgzCO8HkSq1cXlsgEhN4AaABAQ,7-H0Z7-6liT80-Q3_rv7BD,2015-06-04 18:57:10,Mark Regan,106,2,TEXT,2015-06-04 18:56:44,Anna,26.0,1.0,3,2015-06,0 257 | UgzFDjzEaKVYPM194AN4AaABAQ,7-H0Z7-D6hu7-H1d7MxXl2,2014-04-25 03:02:49,Mark Regan,87,2,TEXT,2014-04-25 03:02:15,Albert,34.0,1.0,4,2014-04,0 258 | UgzFDjzEaKVYPM194AN4AaABAQ,7-H0Z7-D6hu7-H1iSjr1cW,2014-04-25 03:03:32,Mark Regan,73,2,TEXT,2014-04-25 03:03:05,Albert,27.0,1.0,4,2014-04,0 259 | UgzFDjzEaKVYPM194AN4AaABAQ,7-H0Z7-D6hu7-H1iwsOGxG,2014-04-25 03:03:36,Mark Regan,18,2,TEXT,2014-04-25 03:03:33,Albert,3.0,1.0,4,2014-04,0 260 | UgzFDjzEaKVYPM194AN4AaABAQ,7-H0Z7-D6hu7-H1xivfk75,2014-04-25 03:05:37,Mark Regan,76,2,TEXT,2014-04-25 03:05:20,Albert,17.0,1.0,4,2014-04,0 261 | UgzFDjzEaKVYPM194AN4AaABAQ,7-H0Z7-D6hu7-H27u81SiZ,2014-04-25 03:07:09,Mark Regan,34,2,TEXT,2014-04-25 03:06:52,Albert,17.0,1.0,4,2014-04,0 262 | UgzFDjzEaKVYPM194AN4AaABAQ,7-H0Z7-D6hu7-H2D5UDTwz,2014-04-25 03:07:51,Mark Regan,16,2,TEXT,2014-04-25 03:07:22,Albert,29.0,1.0,4,2014-04,0 263 | UgzFDjzEaKVYPM194AN4AaABAQ,7-H0Z7-D6hu7-H2MfFR0Wv,2014-04-25 03:09:10,Mark Regan,100,2,TEXT,2014-04-25 03:08:17,Albert,53.0,1.0,4,2014-04,0 264 | UgzZBTqi5VMkzkwQnAh4AaABAQ,7-H0Z7-RK8A7-H0aE1onZL,2015-03-17 13:50:17,Mark Regan,4,2,TEXT,2015-03-17 13:50:13,Barry,4.0,1.0,1,2015-03,0 265 | UgzZBTqi5VMkzkwQnAh4AaABAQ,7-H0Z7-RK8A7-H0fOLn9ZE,2015-03-17 13:50:59,Mark Regan,9,2,TEXT,2015-03-17 13:50:50,Barry,9.0,1.0,1,2015-03,0 266 | UgzZBTqi5VMkzkwQnAh4AaABAQ,7-H0Z7-RK8A7-H0p9oTHDH,2015-03-17 13:52:19,Mark Regan,54,2,TEXT,2015-03-17 13:52:03,Barry,16.0,1.0,1,2015-03,0 267 | Ugzd2qvqMa_Uvw-kxpp4AaABAQ,7-H0Z7-Kt-j7-H0c1HnowU,2013-09-19 12:02:20,Mark Regan,6,2,TEXT,2013-09-19 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