






import csv

import tweepy

# Twitter API credentials
A_       :int       =						''''''
A_       :str       =						''''''
A_       :Dict       =						''''''
A_       :Optional[int]       =						''''''






def 							A     (       a_					)     ->						None:
					# authorize twitter, initialize tweepy
					__UpperCamelCase      :					str       		=tweepy.OAuthHandler(a_							,a_					)
					auth.set_access_token(a_							,a_					)
					__UpperCamelCase      :					Optional[int]       		=tweepy.API(a_					)

					# initialize a list to hold all the tweepy Tweets
					__UpperCamelCase      :					Optional[Any]       		=[]

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

					# save most recent tweets
					alltweets.extend(a_					)

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

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

										# all subsequent requests use the max_id param to prevent duplicates
										__UpperCamelCase      :					Optional[int]       		=api.user_timeline(
										    screen_name=a_							,count=200							,max_id=a_					)

										# save most recent tweets
										alltweets.extend(a_					)

										# update the id of the oldest tweet less one
										__UpperCamelCase      :					Optional[Any]       		=alltweets[-1].id - 1

										print(F'...{len(a_					)} tweets downloaded so far'					)

					# transform the tweepy tweets into a 2D array that will populate the csv
					__UpperCamelCase      :					Dict       		=[[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      :					Optional[int]       		=csv.writer(a_					)
										writer.writerow(['id', 'created_at', 'text']					)
										writer.writerows(a_					)


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





"""simple docstring"""






from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
							if not (is_transformers_available() and is_torch_available()):
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							from ...utils.dummy_torch_and_transformers_objects import (
							    ImageTextPipelineOutput,
							    UniDiffuserPipeline,
							)
else:
							from .modeling_text_decoder import UniDiffuserTextDecoder
							from .modeling_uvit import UniDiffuserModel, UTransformeraDModel
							from .pipeline_unidiffuser import ImageTextPipelineOutput, UniDiffuserPipeline
