




a													=			"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/"




def        _SCREAMING_SNAKE_CASE      (		snake_case       )						->				Dict:







      if not isinstance(lowerCAmelCase__			,     lowerCAmelCase__       ):
            _UpperCAmelCase      =			f"a bytes-like object is required, not \'{data.__class__.__name__}\'"
            raise TypeError(lowerCAmelCase__       )

      _UpperCAmelCase      =			''.join(bin(lowerCAmelCase__       )[2:].zfill(8       ) for byte in data       )

      _UpperCAmelCase      =			len(lowerCAmelCase__       ) % 6 != 0

      if padding_needed:
            # The padding that will be added later
            _UpperCAmelCase      =			b'=' * ((6 - len(lowerCAmelCase__       ) % 6) // 2)

            # Append binary_stream with arbitrary binary digits (0's by default) to make its
            # length a multiple of 6.
            binary_stream += "0" * (6 - len(lowerCAmelCase__       ) % 6)
      else:
            _UpperCAmelCase      =			b''

      # Encode every 6 binary digits to their corresponding Base64 character
      return (
          "".join(
              B64_CHARSET[int(binary_stream[index : index + 6]			,     2       )]
              for index in range(0			,     len(lowerCAmelCase__       )			,     6       )       ).encode()
          + padding
      )




def        _SCREAMING_SNAKE_CASE      (		snake_case       )						->				List[Any]:







      if not isinstance(lowerCAmelCase__			,     lowerCAmelCase__       ) and not isinstance(lowerCAmelCase__			,     lowerCAmelCase__       ):
            _UpperCAmelCase      =			(
                'argument should be a bytes-like object or ASCII string, '
                f"not \'{encoded_data.__class__.__name__}\'"
            )
            raise TypeError(lowerCAmelCase__       )

      # In case encoded_data is a bytes-like object, make sure it contains only
      # ASCII characters so we convert it to a string object
      if isinstance(lowerCAmelCase__			,     lowerCAmelCase__       ):
            try:
                  _UpperCAmelCase      =			encoded_data.decode("""utf-8"""       )
            except UnicodeDecodeError:
                  raise ValueError("""base64 encoded data should only contain ASCII characters"""       )

      _UpperCAmelCase      =			encoded_data.count("""="""       )

      # Check if the encoded string contains non base64 characters
      if padding:
            assert all(
                char in B64_CHARSET for char in encoded_data[:-padding]       ), "Invalid base64 character(s) found."
      else:
            assert all(
                char in B64_CHARSET for char in encoded_data       ), "Invalid base64 character(s) found."

      # Check the padding
      assert len(lowerCAmelCase__       ) % 4 == 0 and padding < 3, "Incorrect padding"

      if padding:
            # Remove padding if there is one
            _UpperCAmelCase      =			encoded_data[:-padding]

            _UpperCAmelCase      =			''.join(
                bin(B64_CHARSET.index(lowerCAmelCase__       )       )[2:].zfill(6       ) for char in encoded_data       )[: -padding * 2]
      else:
            _UpperCAmelCase      =			''.join(
                bin(B64_CHARSET.index(lowerCAmelCase__       )       )[2:].zfill(6       ) for char in encoded_data       )

      _UpperCAmelCase      =			[
          int(binary_stream[index : index + 8]			,     2       )
          for index in range(0			,     len(lowerCAmelCase__       )			,     8       )
      ]

      return bytes(lowerCAmelCase__       )


if __name__ == "__main__":
    import doctest

    doctest.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")