





import csv

import tweepy

# Twitter API credentials
snake_case 				=       """"""
snake_case 				=       """"""
snake_case 				=       """"""
snake_case 				=       """"""

def 							SCREAMING_SNAKE_CASE__       (  snake_case__  :str     )      ->						None:
  # authorize twitter, initialize tweepy
  _lowercase							= tweepy.OAuthHandler(snake_case__			,							snake_case__     )
  auth.set_access_token(snake_case__			,							snake_case__     )
  _lowercase							= tweepy.API(snake_case__     )

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

  # make initial request for most recent tweets (200 is the maximum allowed count)
  _lowercase							= api.user_timeline(screen_name=snake_case__			,							count=200     )

  # save most recent tweets
  alltweets.extend(snake_case__     )

  # save the id of the oldest tweet less one
  _lowercase							= 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
    _lowercase							= api.user_timeline(
        screen_name=snake_case__			,							count=200			,							max_id=snake_case__     )

    # save most recent tweets
    alltweets.extend(snake_case__     )

    # update the id of the oldest tweet less one
    _lowercase							= 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
  _lowercase							= [[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:
    _lowercase							= 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""")






from __future__ import annotations

from collections.abc import Generator

def 							SCREAMING_SNAKE_CASE__       (  )      ->						Generator[int, None, None]:
  _lowercase							= {}
  _lowercase							= 2
  while True:
    _lowercase							= factor_map.pop(snake_case__			,							snake_case__     )
    if factor:
      _lowercase							= factor + prime
      while x in factor_map:
        x += factor
      _lowercase							= factor
    else:
      _lowercase							= prime
      yield prime
    prime += 1

def 							SCREAMING_SNAKE_CASE__       (  snake_case__  :float = 1E10     )      ->						int:
  _lowercase							= sieve()

  _lowercase							= 1
  while True:
    _lowercase							= next(snake_case__     )
    if (2 * prime * n) > limit:
      return n
    # Ignore the next prime as the reminder will be 2.
    next(snake_case__     )
    n += 2


if __name__ == "__main__":
      print(solution())