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‎.ipynb_checkpoints/Team Maker-checkpoint.ipynb

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{
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"metadata": {
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"name": "",
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"signature": "sha256:2413b0f161069741f95c0f0fb0360cbd9e980b48c636aa3f01432d348a79c660"
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"worksheets": [
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# The Ushahidi Team Maker\n",
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"\n",
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"*Creating esprit de corps through random.shuffle().*\n",
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"\n",
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"**Operations:**\n",
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"- Scrapes Ushahidi team page for names\n",
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"- Randomly assigns people to groups\n",
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"- Assigns an uberconference room\n",
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"- Prints results"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# Import required modules\n",
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"import requests\n",
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"from bs4 import BeautifulSoup\n",
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"import random"
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],
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"language": "python",
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"metadata": {},
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"outputs": [],
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"prompt_number": 1
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# Create a variable with the URL\n",
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"url_names = 'http://www.ushahidi.com/mission/team/'\n",
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"\n",
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"# Scrape the HTML at the url\n",
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"r_names = requests.get(url_names)\n",
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"\n",
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"# Turn the HTML into a Beautiful Soup object\n",
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"soup_names = BeautifulSoup(r_names.text)"
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],
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"language": "python",
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"metadata": {},
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"outputs": [],
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"prompt_number": 2
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"team = []"
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],
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"language": "python",
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"metadata": {},
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"outputs": [],
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"prompt_number": 3
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"for item in soup_names.find_all({'h3'}): \n",
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" team.append(item.string.strip())"
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],
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"language": "python",
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"metadata": {},
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"outputs": [],
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"prompt_number": 4
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"def make_groups(l, n):\n",
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" random.shuffle(l)\n",
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" if n < 1:\n",
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" n = 1\n",
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" return [l[i:i + n] for i in range(0, len(l), n)]"
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],
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"language": "python",
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"metadata": {},
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"outputs": [],
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"prompt_number": 5
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"groups = make_groups(team, 10)"
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],
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"language": "python",
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"metadata": {},
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"outputs": [],
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"prompt_number": 6
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"rooms = ['https://www.uberconference.com/ushahidi', \n",
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" 'https://www.uberconference.com/chrisalbon', \n",
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" 'https://www.uberconference.com/natmanning',\n",
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" 'https://www.uberconference.com/juliana',\n",
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" 'https://www.uberconference.com/woody',\n",
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" 'https://www.uberconference.com/brian']"
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],
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"language": "python",
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"metadata": {},
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"outputs": [],
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"prompt_number": 7
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"n = 0\n",
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"for item in groups:\n",
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" print('Group #', n+1)\n",
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" print('Room:', rooms[n])\n",
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" print(sep='\\n')\n",
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" print(*item, sep='\\n')\n",
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" print(sep='\\n')\n",
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" n = n+1"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"output_type": "stream",
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"stream": "stdout",
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"text": [
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"Group # 1\n",
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"Room: https://www.uberconference.com/ushahidi\n",
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"\n",
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"Juliana Rotich\n",
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"Sara-Jayne Terp\n",
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"Woody Gilk\n",
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"David Kobia\n",
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"Vidya Spandana\n",
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"Angela Oduor\n",
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"Jonathon Morgan\n",
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"Ben Lieblich\n",
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"Linda Kamau\n",
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"Henry Addo\n",
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"\n",
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"Group # 2\n",
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"Room: https://www.uberconference.com/chrisalbon\n",
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"\n",
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"Mathias Antonsson\n",
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"Gregory Omondi\n",
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"Chris Albon, Ph.D.\n",
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"Rob Baker\n",
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"Brian Herbert\n",
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"Shadrock Roberts\n",
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"Nathaniel Manning\n",
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"Anarghya Vardhana\n",
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"Limo Taboi\n",
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"Sharon Rutto\n",
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"\n",
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"Group # 3\n",
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"Room: https://www.uberconference.com/natmanning\n",
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"\n",
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"Sebastian Mitchell\n",
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"Aurelia Moser\n",
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"Robbie Mackay\n",
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"Zack Halloran\n",
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"Daudi Were\n",
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"Jepchumba Thomas\n",
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"Jon Shuler\n",
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"Esther Ondigo\n",
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"Seth Hall\n",
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"\n"
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]
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}
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],
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"prompt_number": 8
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [],
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"language": "python",
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"metadata": {},
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"outputs": [],
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"prompt_number": 8
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}
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],
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"metadata": {}
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}
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]
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}

‎.ipynb_checkpoints/beautiful_soup_drill_down-checkpoint.ipynb

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"output_type": "pyout",
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"text": [
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"Stark 8\n",
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"Tyrell 6\n",
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"cell_type": "code",

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