import csv

import tweepy

# Twitter API credentials
__lowercase							 =					''''''
__lowercase							 =					''''''
__lowercase							 =					''''''
__lowercase							 =					''''''



def lowerCamelCase  (   SCREAMING_SNAKE_CASE	):
    '''simple docstring'''







    __UpperCamelCase     :Tuple			  =		tweepy.OAuthHandler(snake_case__  ,			snake_case__	)
    auth.set_access_token(snake_case__  ,			snake_case__	)
    __UpperCamelCase     :Tuple			  =		tweepy.API(snake_case__	)

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

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







import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import CONFIG_MAPPING


__a  			=					logging.get_logger(__name__)
class  lowercase__(				UpperCAmelCase							):



	"""simple docstring"""




	a			:Union[str, Any]         =	'upernet'
	def __init__(       self  :			Dict       ,							SCREAMING_SNAKE_CASE_  :			Dict=None       ,							SCREAMING_SNAKE_CASE_  :			str=5_1_2       ,							SCREAMING_SNAKE_CASE_  :			Tuple=0.02       ,							SCREAMING_SNAKE_CASE_  :			Optional[Any]=[1, 2, 3, 6]       ,							SCREAMING_SNAKE_CASE_  :			Optional[int]=True       ,							SCREAMING_SNAKE_CASE_  :			Tuple=0.4       ,							SCREAMING_SNAKE_CASE_  :			Optional[int]=3_8_4       ,							SCREAMING_SNAKE_CASE_  :			str=2_5_6       ,							SCREAMING_SNAKE_CASE_  :			Dict=1       ,							SCREAMING_SNAKE_CASE_  :			Tuple=False       ,							SCREAMING_SNAKE_CASE_  :			str=2_5_5       ,							**SCREAMING_SNAKE_CASE_  :			str       ,							)       ->     int:
					super().__init__(**SCREAMING_SNAKE_CASE_       )

					if backbone_config is None:
									logger.info('''`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone.'''       )
									lowercase_       =					CONFIG_MAPPING['''resnet'''](out_features=['''stage1''', '''stage2''', '''stage3''', '''stage4''']       )
					elif isinstance(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ):
									lowercase_       =					backbone_config.get('''model_type'''       )
									lowercase_       =					CONFIG_MAPPING[backbone_model_type]
									lowercase_       =					config_class.from_dict(SCREAMING_SNAKE_CASE_       )

					lowercase_       =					backbone_config
					lowercase_       =					hidden_size
					lowercase_       =					initializer_range
					lowercase_       =					pool_scales
					lowercase_       =					use_auxiliary_head
					lowercase_       =					auxiliary_loss_weight
					lowercase_       =					auxiliary_in_channels
					lowercase_       =					auxiliary_channels
					lowercase_       =					auxiliary_num_convs
					lowercase_       =					auxiliary_concat_input
					lowercase_       =					loss_ignore_index




	def 						_lowercase  (       self  :			List[str]       )       ->     List[str]:
					lowercase_       =					copy.deepcopy(self.__dict__       )
					lowercase_       =					self.backbone_config.to_dict()
					lowercase_       =					self.__class__.model_type
					return output




