






"""simple docstring"""





import csv

import tweepy

# Twitter API credentials
_SCREAMING_SNAKE_CASE					:				Optional[Any]					    =						''''''
_SCREAMING_SNAKE_CASE					:				Union[str, Any]					    =						''''''
_SCREAMING_SNAKE_CASE					:				Dict					    =						''''''
_SCREAMING_SNAKE_CASE					:				List[Any]					    =						''''''







def      lowerCamelCase__       (							_lowerCamelCase       :		Any )      ->				Union[str, Any]:
  # authorize twitter, initialize tweepy
  lowerCamelCase_         =						tweepy.OAuthHandler(lowercase__		,				lowercase__ )
  auth.set_access_token(lowercase__		,				lowercase__ )
  lowerCamelCase_         =						tweepy.API(lowercase__ )

  # initialize a list to hold all the tweepy Tweets
  lowerCamelCase_         =						[]

  # make initial request for most recent tweets (200 is the maximum allowed count)
  lowerCamelCase_         =						api.user_timeline(screen_name=lowercase__		,				count=200 )

  # save most recent tweets
  alltweets.extend(lowercase__ )

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

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

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

    # save most recent tweets
    alltweets.extend(lowercase__ )

    # update the id of the oldest tweet less one
    lowerCamelCase_         =						alltweets[-1].id - 1

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

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


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_torch_available


lowercase__     						=						{"""configuration_vit_msn""": ["""VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """ViTMSNConfig"""]}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowercase__     						=						[
			    """VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST""",
			    """ViTMSNModel""",
			    """ViTMSNForImageClassification""",
			    """ViTMSNPreTrainedModel""",
			]

if TYPE_CHECKING:
			from .configuration_vit_msn import VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMSNConfig

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_vit_msn import (
						    VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST,
						    ViTMSNForImageClassification,
						    ViTMSNModel,
						    ViTMSNPreTrainedModel,
						)

else:
			import sys

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