




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(_lowercase       )
            if len(_lowercase       ) == 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(_lowercase       ):
                        num_spaces_between_words_list[i] += 1
                  _UpperCAmelCase      =			[]
                  for i in range(_lowercase       ):
                        # 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(_lowercase       )

      _UpperCAmelCase      =			[]
      _UpperCAmelCase      =			[]
      _UpperCAmelCase      =			0
      for word in words:
            if width + len(_lowercase       ) + len(_lowercase       ) <= 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(_lowercase       )
                  width += len(_lowercase       )
            else:
                  # justify the line and add it to result
                  answer.append(justify(_lowercase			,     _lowercase			,     _lowercase       )       )
                  # reset new line and new width
                  _UpperCAmelCase      =			[word], len(_lowercase       )
      _UpperCAmelCase      =			max_width - width - len(_lowercase       )
      answer.append(""" """.join(_lowercase       ) + (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")