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247 lines
4.8 KiB
247 lines
4.8 KiB
{
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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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"# Mastodon bot Example"
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]
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},
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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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"This Mastodon bot example is part of the module *Bots as Infrapuncture*. :-)"
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]
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},
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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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"(explain a bit how Jupyter notebooks work)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import sys\n",
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"!{sys.executable} -m pip install Mastodon.py"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [],
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"source": [
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"from mastodon import Mastodon # https://github.com/halcy/Mastodon.py"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"instance = 'https://botsin.space'\n",
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"# username = 'USERNAME'\n",
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"# password = 'PASSWORD'"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Register the bot as an application, save details as a (.secret) plain text file.\n",
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"\n",
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"# This only needs to be done once!\n",
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"# (we already did it)\n",
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"\n",
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"# Mastodon.create_app(\n",
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"# 'bots-as-infrapunctures',\n",
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"# api_base_url = instance,\n",
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"# to_file = 'mastodon-bot.secret'\n",
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"# )"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Write your login details to a (.secret) plain text file.\n",
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"\n",
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"# This only needs to be done once!\n",
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"# (we already did it)\n",
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"\n",
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"# mastodon = Mastodon(\n",
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"# client_id = 'mastodon-bot.secret',\n",
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"# api_base_url = instance\n",
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"# )\n",
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"\n",
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"# mastodon.log_in(\n",
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"# username,\n",
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"# password,\n",
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"# to_file = 'mastodon-bot-usercred.secret'\n",
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"# )"
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]
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},
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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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"Now we will run the bot!!"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Start up the bot....\n",
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"\n",
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"mastodon = Mastodon(\n",
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" access_token = 'mastodon-bot-usercred.secret',\n",
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" api_base_url = instance\n",
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")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Start tooting!\n",
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"\n",
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"mastodon.toot('testing tooting')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Another one, automized over a longer period of time\n",
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"\n",
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"from time import sleep\n",
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"\n",
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"toots = [\n",
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" 'Sentence 1',\n",
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" 'Sentence 2',\n",
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" 'Sentence 3',\n",
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" 'Sentence 4',\n",
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" 'Sentence 5'\n",
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"]\n",
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"\n",
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"for toot in toots:\n",
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" mastodon.toot(toot)\n",
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" sleep(300) # 300 seconds = 5 minutes"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Something with a dictionary\n",
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"\n",
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"vocabulary = {\n",
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" \n",
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"}"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Generate sentences ? \n",
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"\n",
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"names = ['', '', '']\n",
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"objects = ['', '', '']\n",
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"actions = ['', '', '']"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"<method 'time' of 'datetime.datetime' objects>\n"
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]
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}
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],
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"source": [
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"# Using the current time\n",
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"\n",
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"from datetime import datetime\n",
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"\n",
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"print(datetime.now)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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