



'''simple docstring'''






import csv

import tweepy

# Twitter API credentials
lowerCAmelCase: Optional[Any]							=						''
lowerCAmelCase: List[Any]							=						''
lowerCAmelCase: str							=						''
lowerCAmelCase: Union[str, Any]							=						''
def 				lowerCamelCase__	(						_A    ):
  # authorize twitter, initialize tweepy
  a						: Tuple					       =					tweepy.OAuthHandler(_A			,      _A    )
  auth.set_access_token(_A			,      _A    )
  a						: Dict					       =					tweepy.API(_A    )

  # 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=_A			,      count=200    )

  # save most recent tweets
  alltweets.extend(_A    )

  # save the id of the oldest tweet less one
  a						: 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
    a						: Any					       =					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
    a						: List[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
  a						: Optional[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						: Dict					       =					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 typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


lowerCAmelCase: Optional[int]							=						{
    'configuration_graphormer': ['GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GraphormerConfig'],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCAmelCase: int							=						[
         'GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
         'GraphormerForGraphClassification',
         'GraphormerModel',
         'GraphormerPreTrainedModel',
     ]


if TYPE_CHECKING:
     from .configuration_graphormer import GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, GraphormerConfig

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_graphormer import (
              GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
              GraphormerForGraphClassification,
              GraphormerModel,
              GraphormerPreTrainedModel,
          )


else:
     import sys

     lowerCAmelCase: str							=						_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)