




"""simple docstring"""


import csv

import tweepy

# Twitter API credentials
A_						=				''''''
A_						=				''''''
A_						=				''''''
A_						=				''''''


def 					UpperCAmelCase__       (snake_case__							:					str    ):
  """simple docstring"""

  _snake_case							:		Tuple								=  tweepy.OAuthHandler(snake_case__		,   snake_case__    )
  auth.set_access_token(snake_case__		,   snake_case__    )
  _snake_case							:		Dict								=  tweepy.API(snake_case__    )

  # initialize a list to hold all the tweepy Tweets
  _snake_case							:		str								=  []

  # make initial request for most recent tweets (200 is the maximum allowed count)
  _snake_case							:		str								=  api.user_timeline(screen_name=snake_case__		,   count=2_00    )

  # save most recent tweets
  alltweets.extend(snake_case__    )

  # save the id of the oldest tweet less one
  _snake_case							:		List[str]								=  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
    _snake_case							:		int								=  api.user_timeline(
        screen_name=snake_case__		,   count=2_00		,   max_id=snake_case__    )

    # save most recent tweets
    alltweets.extend(snake_case__    )

    # update the id of the oldest tweet less one
    _snake_case							:		List[str]								=  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
  _snake_case							:		Tuple								=  [[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:
    _snake_case							:		Any								=  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''')





import warnings

from ...utils import logging
from .image_processing_clip import CLIPImageProcessor


_lowerCAmelCase					:			str  				=			logging.get_logger(__name__)






class 	__magic_name__    (			lowerCAmelCase_      ):





			def __init__(		self					,  *__snake_case					,  **__snake_case					)   -> None:




						'''simple docstring'''
						warnings.warn(
						    'The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
						    ' use CLIPImageProcessor instead.'					,  __snake_case					,  )
						super().__init__(*__snake_case					,  **__snake_case					)






