

import csv

import tweepy

# Twitter API credentials
snake_case_        =			''''''
snake_case_        =			''''''
snake_case_        =			''''''
snake_case_        =			''''''

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   str      ):



     '''simple docstring'''





     lowercase__   :       List[Any]				=	tweepy.OAuthHandler(SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_      )
     auth.set_access_token(SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_      )
     lowercase__   :       List[str]				=	tweepy.API(SCREAMING_SNAKE_CASE_      )

     # initialize a list to hold all the tweepy Tweets
     lowercase__   :       Union[str, Any]				=	[]

     # make initial request for most recent tweets (200 is the maximum allowed count)
     lowercase__   :       Optional[Any]				=	api.user_timeline(screen_name=SCREAMING_SNAKE_CASE_     ,					count=200      )

     # save most recent tweets
     alltweets.extend(SCREAMING_SNAKE_CASE_      )

     # save the id of the oldest tweet less one
     lowercase__   :       Optional[int]				=	alltweets[-1].id - 1

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

          # all subsequent requests use the max_id param to prevent duplicates
          lowercase__   :       int				=	api.user_timeline(
              screen_name=SCREAMING_SNAKE_CASE_     ,					count=200     ,					max_id=SCREAMING_SNAKE_CASE_      )

          # save most recent tweets
          alltweets.extend(SCREAMING_SNAKE_CASE_      )

          # update the id of the oldest tweet less one
          lowercase__   :       List[str]				=	alltweets[-1].id - 1

          print(f"""...{len(SCREAMING_SNAKE_CASE_      )} tweets downloaded so far"""      )

     # transform the tweepy tweets into a 2D array that will populate the csv
     lowercase__   :       Union[str, Any]				=	[[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__   :       Optional[Any]				=	csv.writer(SCREAMING_SNAKE_CASE_      )
          writer.writerow(['id', 'created_at', 'text']      )
          writer.writerows(SCREAMING_SNAKE_CASE_      )


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




from typing import Optional

import pyspark

from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader


class 				SCREAMING_SNAKE_CASE__ (__snake_case					):





    def __init__(				self						,       a						,       a = None						,       a = None						,       a = True						,       a = None						,       a = False						,       a = None						,       a = True						,       a = "arrow"						,       **a						,       ):
         super().__init__(
             split=a						,       features=a						,       cache_dir=a						,       keep_in_memory=a						,       streaming=a						,       **a						,       )
         lowercase__   :       Optional[int]				=	load_from_cache_file
         lowercase__   :       Optional[int]				=	file_format
         lowercase__   :       int				=	Spark(
             df=a						,       features=a						,       cache_dir=a						,       working_dir=a						,       **a						,       )





    def 				snake_case_    (				self):
         if self.streaming:
              return self.builder.as_streaming_dataset(split=self.split)
         lowercase__   :       Dict				=	None if self._load_from_cache_file else DownloadMode.FORCE_REDOWNLOAD
         self.builder.download_and_prepare(
             download_mode=a						,       file_format=self._file_format						,       )
         return self.builder.as_dataset(split=self.split)

