



'''simple docstring'''





import csv

import tweepy

# Twitter API credentials
a__      :				Optional[int]   	=			""
a__      :				Union[str, Any]   	=			""
a__      :				str   	=			""
a__      :				Optional[Any]   	=			""

def   _lowerCAmelCase   (						A__	):
      # authorize twitter, initialize tweepy
      lowercase__     =  tweepy.OAuthHandler(A__						,  A__	)
      auth.set_access_token(A__						,  A__	)
      lowercase__     =  tweepy.API(A__	)

      # 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=A__						,  count=200	)

      # save most recent tweets
      alltweets.extend(A__	)

      # 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(A__	) > 0:
            print(F'''getting tweets before {oldest}'''	)

            # all subsequent requests use the max_id param to prevent duplicates
            lowercase__     =  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
            lowercase__     =  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
      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(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")





import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin



class       UpperCAmelCase__(							unittest.TestCase     ,							lowerCamelCase	):

   '''simple docstring'''




   def 			UpperCAmelCase		(						self  :			List[str])	->				Any:




         """simple docstring"""

         lowercase__     =  load_tool('text-classification')
         self.tool.setup()
         lowercase__     =  load_tool('text-classification'			,				remote=lowerCAmelCase)


   def 			UpperCAmelCase		(						self  :			Any)	->				Tuple:




         """simple docstring"""

         lowercase__     =  self.tool('That\'s quite cool'			,				['positive', 'negative'])
         self.assertEqual(lowerCAmelCase			,				'positive')


   def 			UpperCAmelCase		(						self  :			int)	->				Optional[int]:




         """simple docstring"""

         lowercase__     =  self.remote_tool('That\'s quite cool'			,				['positive', 'negative'])
         self.assertEqual(lowerCAmelCase			,				'positive')


   def 			UpperCAmelCase		(						self  :			Optional[Any])	->				Union[str, Any]:




         """simple docstring"""

         lowercase__     =  self.tool(text='That\'s quite cool'			,				labels=['positive', 'negative'])
         self.assertEqual(lowerCAmelCase			,				'positive')



   def 			UpperCAmelCase		(						self  :			Any)	->				Any:




         """simple docstring"""

         lowercase__     =  self.remote_tool(text='That\'s quite cool'			,				labels=['positive', 'negative'])
         self.assertEqual(lowerCAmelCase			,				'positive')
