




'''simple docstring'''




import os

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

snake_case__          =						{"""UserAgent""": UserAgent().random}
snake_case__          =						"""https://www.mywaifulist.moe/random"""




def 						snake_case__    ( lowerCamelCase__				:   str			,		lowerCamelCase__				:   str			)   ->   None:
					A_ :     Optional[Any] =							requests.get(lowerCamelCase__			,		headers=lowerCamelCase__			)
					with open(lowerCamelCase__			,		'''wb'''			) as file:
										file.write(image.content			)




def 						snake_case__    ( )   ->   tuple[str, str, str]:
					A_ :     Optional[Any] =							BeautifulSoup(requests.get(lowerCamelCase__			,		headers=lowerCamelCase__			).text			,		'''html.parser'''			)
					A_ :     List[str] =							soup.find('''meta'''			,		attrs={'''property''': '''og:title'''}			).attrs['''content''']
					A_ :     List[Any] =							soup.find('''meta'''			,		attrs={'''property''': '''og:image'''}			).attrs['''content''']
					A_ :     Optional[Any] =							soup.find('''p'''			,		id='''description'''			).get_text()
					A_ ,A_ :     Union[str, Any] =							os.path.splitext(os.path.basename(lowerCamelCase__			)			)
					A_ :     Optional[int] =							title.strip().replace(''' '''			,		'''_'''			)
					A_ :     Tuple =							f'{image_title}{image_extension}'
					save_image(lowerCamelCase__			,		lowerCamelCase__			)
					return (title, description, image_title)


if __name__ == "__main__":
							snake_case__       ,						snake_case__       ,						snake_case__          =						random_anime_character()
							print(F'{title}\n\n{desc}\n\nImage saved : {image_title}')









'''simple docstring'''




from ...configuration_utils import PretrainedConfig
from ...utils import logging


snake_case__          =						logging.get_logger(__name__)

snake_case__          =						{
    """bert-base-uncased""": """https://huggingface.co/bert-base-uncased/resolve/main/config.json""",
    # QDQBERT models can be loaded from any BERT checkpoint, available at https://huggingface.co/models?filter=bert
}






class     UpperCamelCase_     (a__     ):







						"""simple docstring"""


						_lowerCAmelCase    						=					'qdqbert'







						def __init__(     self      :       Union[str, Any]							, _lowerCamelCase      :       List[Any]=30522							, _lowerCamelCase      :       str=768							, _lowerCamelCase      :       Optional[Any]=12							, _lowerCamelCase      :       str=12							, _lowerCamelCase      :       List[Any]=3072							, _lowerCamelCase      :       Union[str, Any]="gelu"							, _lowerCamelCase      :       Dict=0.1							, _lowerCamelCase      :       Union[str, Any]=0.1							, _lowerCamelCase      :       Optional[int]=512							, _lowerCamelCase      :       Dict=2							, _lowerCamelCase      :       Optional[Any]=0.02							, _lowerCamelCase      :       List[Any]=1E-12							, _lowerCamelCase      :       Tuple=True							, _lowerCamelCase      :       Tuple=1							, _lowerCamelCase      :       Optional[Any]=0							, _lowerCamelCase      :       Optional[int]=2							, **_lowerCamelCase      :       List[str]							, ):





											"""simple docstring"""







											super().__init__(pad_token_id=_lowerCamelCase							, bos_token_id=_lowerCamelCase							, eos_token_id=_lowerCamelCase							, **_lowerCamelCase    )

											A_ :     Optional[Any] =							vocab_size
											A_ :     str =							max_position_embeddings
											A_ :     List[str] =							hidden_size
											A_ :     str =							num_hidden_layers
											A_ :     List[str] =							num_attention_heads
											A_ :     List[str] =							intermediate_size
											A_ :     int =							hidden_act
											A_ :     Tuple =							hidden_dropout_prob
											A_ :     Optional[Any] =							attention_probs_dropout_prob
											A_ :     Dict =							initializer_range
											A_ :     Optional[int] =							type_vocab_size
											A_ :     Any =							layer_norm_eps
											A_ :     Optional[int] =							use_cache



