


import os

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

__UpperCamelCase							:							Optional[int]    							=					{'UserAgent': UserAgent().random}
__UpperCamelCase							:							Optional[Any]    							=					'https://www.mywaifulist.moe/random'

def       _a	(					SCREAMING_SNAKE_CASE						:					str     ,			SCREAMING_SNAKE_CASE						:					str  ):







 """simple docstring"""



 UpperCamelCase__       :     Optional[int] 							= requests.get(_A     ,			headers=_A  )
 with open(_A     ,			'''wb'''  ) as file:
  file.write(image.content  )

def       _a	(					):







 """simple docstring"""



 UpperCamelCase__       :     List[Any] 							= BeautifulSoup(requests.get(_A     ,			headers=_A  ).text     ,			'''html.parser'''  )
 UpperCamelCase__       :     List[str] 							= soup.find('''meta'''     ,			attrs={'''property''': '''og:title'''}  ).attrs['''content''']
 UpperCamelCase__       :     Optional[int] 							= soup.find('''meta'''     ,			attrs={'''property''': '''og:image'''}  ).attrs['''content''']
 UpperCamelCase__       :     Dict 							= soup.find('''p'''     ,			id='''description'''  ).get_text()
 UpperCamelCase__							,					UpperCamelCase__       :     Optional[int] 							= os.path.splitext(os.path.basename(_A  )  )
 UpperCamelCase__       :     List[str] 							= title.strip().replace(''' '''     ,			'''_'''  )
 UpperCamelCase__       :     List[Any] 							= F"{image_title}{image_extension}"
 save_image(_A     ,			_A  )
 return (title, description, image_title)


if __name__ == "__main__":
       __UpperCamelCase							:							Dict    							=					random_anime_character()
       print(f"{title}\n\n{desc}\n\nImage saved : {image_title}")





from sklearn.neural_network import MLPClassifier

__A	:   Tuple	=					[[0.0, 0.0], [1.0, 1.0], [1.0, 0.0], [0.0, 1.0]]
__A	:   Optional[int]	=					[0, 1, 0, 0]


__A	:   int	=					MLPClassifier(
    solver='lbfgs', alpha=1E-5, hidden_layer_sizes=(5, 2), random_state=1
)

clf.fit(X, y)


__A	:   str	=					[[0.0, 0.0], [0.0, 1.0], [1.0, 1.0]]
__A	:   str	=					clf.predict(test)




def        __UpperCamelCase     (      _A					:							int		)				->Union[str, Any]:



							"""simple docstring"""
							return list(_A		)


if __name__ == "__main__":
	import doctest

	doctest.testmod()
