




import csv

import tweepy

# Twitter API credentials
_snake_case            = ""
_snake_case            = ""
_snake_case            = ""
_snake_case            = ""







def        lowerCAmelCase_			(  snake_case_  ):

      '''simple docstring'''





      _A							:  str    =		tweepy.OAuthHandler(snake_case_,snake_case_  )
      auth.set_access_token(snake_case_,snake_case_  )
      _A							:  int    =		tweepy.API(snake_case_  )

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

      # make initial request for most recent tweets (200 is the maximum allowed count)
      _A							:  List[str]    =		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
      _A							:  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
            _A							:  int    =		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
            _A							:  Union[str, Any]    =		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
      _A							:  List[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:
            _A							:  List[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")







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_snake_case            = {
    "configuration_time_series_transformer": [
        "TIME_SERIES_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "TimeSeriesTransformerConfig",
    ],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _snake_case            = [
      "TIME_SERIES_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
      "TimeSeriesTransformerForPrediction",
      "TimeSeriesTransformerModel",
      "TimeSeriesTransformerPreTrainedModel",
  ]


if TYPE_CHECKING:
  from .configuration_time_series_transformer import (
      TIME_SERIES_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
      TimeSeriesTransformerConfig,
  )

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_time_series_transformer import (
        TIME_SERIES_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
        TimeSeriesTransformerForPrediction,
        TimeSeriesTransformerModel,
        TimeSeriesTransformerPreTrainedModel,
    )

else:
  import sys

  _snake_case            = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

