




def        _SCREAMING_SNAKE_CASE      (		snake_case			,     snake_case       )						->				list:
						_UpperCAmelCase      =			word.split()

						def justify(snake_case			,     snake_case			,     snake_case       ) -> str:
												_UpperCAmelCase      =			max_width - width
												_UpperCAmelCase      =			len(snake_case       )
												if len(snake_case       ) == 1:
																		# if there is only word in line
																		# just insert overall_spaces_count for the remainder of line
																		return line[0] + " " * overall_spaces_count
												else:
																		_UpperCAmelCase      =			words_count - 1
																		# num_spaces_between_words_list[i] : tells you to insert
																		# num_spaces_between_words_list[i] spaces
																		# after word on line[i]
																		_UpperCAmelCase      =			spaces_to_insert_between_words * [
																		    overall_spaces_count // spaces_to_insert_between_words
																		]
																		_UpperCAmelCase      =			(
																		    overall_spaces_count % spaces_to_insert_between_words
																		)
																		# distribute spaces via round robin to the left words
																		for i in range(snake_case       ):
																								num_spaces_between_words_list[i] += 1
																		_UpperCAmelCase      =			[]
																		for i in range(snake_case       ):
																								# add the word
																								aligned_words_list.append(line[i]       )
																								# add the spaces to insert
																								aligned_words_list.append(num_spaces_between_words_list[i] * """ """       )
																		# just add the last word to the sentence
																		aligned_words_list.append(line[-1]       )
																		# join the aligned words list to form a justified line
																		return "".join(snake_case       )

						_UpperCAmelCase      =			[]
						_UpperCAmelCase      =			[]
						_UpperCAmelCase      =			0
						for word in words:
												if width + len(snake_case       ) + len(snake_case       ) <= max_width:
																		# keep adding words until we can fill out max_width
																		# width = sum of length of all words (without overall_spaces_count)
																		# len(word) = length of current word
																		# len(line) = number of overall_spaces_count to insert between words
																		line.append(snake_case       )
																		width += len(snake_case       )
												else:
																		# justify the line and add it to result
																		answer.append(justify(snake_case			,     snake_case			,     snake_case       )       )
																		# reset new line and new width
																		_UpperCAmelCase    ,					_UpperCAmelCase      =			[word], len(snake_case       )
						_UpperCAmelCase      =			max_width - width - len(snake_case       )
						answer.append(""" """.join(snake_case       ) + (remaining_spaces + 1) * """ """       )
						return answer


if __name__ == "__main__":
				from doctest import testmod

				testmod()





import csv

import tweepy

# Twitter API credentials
a													=			""
a													=			""
a													=			""
a													=			""




def        _SCREAMING_SNAKE_CASE      (		snake_case       )						->				None:
						# authorize twitter, initialize tweepy
						_UpperCAmelCase      =			tweepy.OAuthHandler(snake_case			,     snake_case       )
						auth.set_access_token(snake_case			,     snake_case       )
						_UpperCAmelCase      =			tweepy.API(snake_case       )

						# initialize a list to hold all the tweepy Tweets
						_UpperCAmelCase      =			[]

						# make initial request for most recent tweets (200 is the maximum allowed count)
						_UpperCAmelCase      =			api.user_timeline(screen_name=snake_case			,     count=2_0_0       )

						# save most recent tweets
						alltweets.extend(snake_case       )

						# save the id of the oldest tweet less one
						_UpperCAmelCase      =			alltweets[-1].id - 1

						# keep grabbing tweets until there are no tweets left to grab
						while len(snake_case       ) > 0:
												print(f"getting tweets before {oldest}"       )

												# all subsequent requests use the max_id param to prevent duplicates
												_UpperCAmelCase      =			api.user_timeline(
												    screen_name=snake_case			,     count=2_0_0			,     max_id=snake_case       )

												# save most recent tweets
												alltweets.extend(snake_case       )

												# update the id of the oldest tweet less one
												_UpperCAmelCase      =			alltweets[-1].id - 1

												print(f"...{len(snake_case       )} tweets downloaded so far"       )

						# transform the tweepy tweets into a 2D array that will populate the csv
						_UpperCAmelCase      =			[[tweet.id_str, tweet.created_at, tweet.text] for tweet in alltweets]

						# write the csv
						with open(f"new_{screen_name}_tweets.csv"			,     """w"""       ) as f:
												_UpperCAmelCase      =			csv.writer(snake_case       )
												writer.writerow(["""id""", """created_at""", """text"""]       )
												writer.writerows(snake_case       )


if __name__ == "__main__":
				# pass in the username of the account you want to download
				get_all_tweets("FirePing32")