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const LINE_ACCESS_TOKEN = PropertiesService.getScriptProperties().getProperty('LINE_ACCESS_TOKEN');
const LINE_GROUP_ID = PropertiesService.getScriptProperties().getProperty('LINE_GROUP_ID');

function postMessage(message){
  const options = {
    'method' : 'post',
    'headers': {
      "Content-Type": "application/json",
      'Authorization': 'Bearer ' + LINE_ACCESS_TOKEN
    },

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var BUDGET = PropertiesService.getScriptProperties().getProperty("BUDGET");
var DEFAULT_PAYDAY = PropertiesService.getScriptProperties().getProperty("DEFAULT_PAYDAY");
var LINE_NOTIFY = false;

function set_sheet(name){
  // ref: https://qiita.com/crawd4274/items/13120429cb3328e8ace2
  //同じ名前のシートがなければ作成
  var sheet = SpreadsheetApp.getActive().getSheetByName(name)
  if(sheet)
    return sheet

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from tensorflow.python.keras import activations
from tensorflow.python.keras import backend as K
from tensorflow.python.keras import constraints
from tensorflow.python.keras import initializers
from tensorflow.python.keras import regularizers
from tensorflow.python.keras.engine.base_layer import Layer
from tensorflow.python.keras.layers.recurrent import DropoutRNNCellMixin
from tensorflow.python.keras.utils import conv_utils
from tensorflow.python.ops import array_ops
from tensorflow.keras.layers import BatchNormalization, Conv2D

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"""
Script to download all videos of a Twitter user.

Requirements:
    - Twitter API key
    - tweepy: https://github.com/tweepy/tweepy
        > pip install tweepy
    - youtube-dl: https://github.com/ytdl-org/youtube-dl/
        > pip install youtube-dl
Usage:

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import matplotlib
matplotlib.use('Agg')
from matplotlib import pyplot as plt
from matplotlib import ticker as ticker
import numpy as np
import csv
from keras.callbacks import Callback

class PlotHistory(Callback):
    def __init__(self, save_interval=1, dir_name='./', csv_output=False, title=''):

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