



import os

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

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




def 			UpperCAmelCase__       (							__snake_case  , __snake_case							)      ->       List[Any]:
  _A							=			requests.get(__lowerCamelCase  , headers=__lowerCamelCase							)
  with open(__lowerCamelCase  , '''wb'''							) as file:
    file.write(image.content							)




def 			UpperCAmelCase__       (							)      ->       Dict:
  _A							=			BeautifulSoup(requests.get(__lowerCamelCase  , headers=__lowerCamelCase							).text  , '''html.parser'''							)
  _A							=			soup.find('''meta'''  , attrs={'''property''': '''og:title'''}							).attrs['''content''']
  _A							=			soup.find('''meta'''  , attrs={'''property''': '''og:image'''}							).attrs['''content''']
  _A							=			soup.find('''p'''  , id='''description'''							).get_text()
  _A			,      _A							=			os.path.splitext(os.path.basename(__lowerCamelCase							)							)
  _A							=			title.strip().replace(''' '''  , '''_'''							)
  _A							=			F'''{image_title}{image_extension}'''
  save_image(__lowerCamelCase  , __lowerCamelCase							)
  return (title, description, image_title)


if __name__ == "__main__":
    __lowerCamelCase      =    random_anime_character()
    print(f'''{title}\n\n{desc}\n\nImage saved : {image_title}''')
from dataclasses import dataclass
from typing import Callable, Optional

import datasets


@dataclass
class 						a__							(   datasets.BuilderConfig		):
			A__				:   Optional[Callable]								=			None
			A__				:   Optional[dict]								=			None
			A__				:   Optional[datasets.Features]								=			None



			def __SCREAMING_SNAKE_CASE							(						self    ) ->    Any:
								assert self.generator is not None, "generator must be specified"

								if self.gen_kwargs is None:
													__a							=   {}






class 						a__							(   datasets.GeneratorBasedBuilder		):
			A__				:   List[Any]								=			GeneratorConfig



			def __SCREAMING_SNAKE_CASE							(						self    ) ->    Tuple:
								return datasets.DatasetInfo(features=self.config.features    )



			def __SCREAMING_SNAKE_CASE							(						self      ,						UpperCAmelCase    ) ->    Optional[int]:
								return [datasets.SplitGenerator(name=datasets.Split.TRAIN      ,						gen_kwargs=self.config.gen_kwargs    )]







			def __SCREAMING_SNAKE_CASE							(						self      ,						**UpperCAmelCase    ) ->    Tuple:
								for idx, ex in enumerate(self.config.generator(**UpperCAmelCase    )    ):
													yield idx, ex




