



'''simple docstring'''







import bsa
import requests







def  SCREAMING_SNAKE_CASE__ (				SCREAMING_SNAKE_CASE     ):
		return {
		    "name": soup.ha.a.text,
		    "genre": soup.find('span' ,		class_='genre'     ).text.strip(),
		    "rating": soup.strong.text,
		    "page_link": F'https://www.imdb.com{soup.a.get("href"     )}',
		}







def  SCREAMING_SNAKE_CASE__ (				SCREAMING_SNAKE_CASE = 5     ):
		SCREAMING_SNAKE_CASE_						:int										=      int(float(SCREAMING_SNAKE_CASE     )     )
		if num_movies < 1:
				return ()
		SCREAMING_SNAKE_CASE_						:List[Any]										=      (
		    'https://www.imdb.com/search/title?title_type='
		    F'feature&sort=num_votes,desc&count={num_movies}'
		)
		SCREAMING_SNAKE_CASE_						:str										=      bsa.BeautifulSoup(requests.get(SCREAMING_SNAKE_CASE     ).content ,		'html.parser'     )
		return tuple(
		    get_movie_data_from_soup(SCREAMING_SNAKE_CASE     )
		    for movie in source.find_all('div' ,		class_='lister-item mode-advanced'     )     )


if __name__ == "__main__":
							import json

							SCREAMING_SNAKE_CASE__     : List[Any]				=   int(input("""How many movies would you like to see? """))
							print(
							    """, """.join(
							        json.dumps(movie, indent=4) for movie in get_imdb_top_movies(num_movies)
							    )
							)






'''simple docstring'''







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


A					       =logging.get_logger(__name__)

A					       ={
    'facebook/regnet-y-040': 'https://huggingface.co/facebook/regnet-y-040/blob/main/config.json',
}


class      _a    (      __a					):
       __a							:	Optional[int]  							=   """regnet"""
       __a							:	Optional[Any]  							=   ["""x""", """y"""]
       def __init__(      self		:      int  ,							lowercase		:      List[Any]=3  ,							lowercase		:      Union[str, Any]=32  ,							lowercase		:      Tuple=[128, 192, 512, 1_088]  ,							lowercase		:      List[Any]=[2, 6, 12, 2]  ,							lowercase		:      Optional[Any]=64  ,							lowercase		:      Optional[int]="y"  ,							lowercase		:      int="relu"  ,							**lowercase		:      int  ,							):



           '''simple docstring'''

           super().__init__(**lowercase							)
           if layer_type not in self.layer_types:
               raise ValueError(f"layer_type={layer_type} is not one of {','.join(self.layer_types							)}"							)
           UpperCAmelCase     			=						num_channels
           UpperCAmelCase     			=						embedding_size
           UpperCAmelCase     			=						hidden_sizes
           UpperCAmelCase     			=						depths
           UpperCAmelCase     			=						groups_width
           UpperCAmelCase     			=						layer_type
           UpperCAmelCase     			=						hidden_act
           # always downsample in the first stage
           UpperCAmelCase     			=						True




