





'''simple docstring'''





import bsa
import requests
def     A__					(						SCREAMING_SNAKE_CASE_      :			bsa.element.ResultSet	)     ->     Union[str, Any]:






   """simple docstring"""







   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     A__					(						SCREAMING_SNAKE_CASE_      :			int = 5	)     ->     Optional[int]:






   """simple docstring"""







   _UpperCAmelCase											=      int(float(_SCREAMING_SNAKE_CASE	)	)
   if num_movies < 1:
      return ()
   _UpperCAmelCase											=      (
       'https://www.imdb.com/search/title?title_type='
       F'''feature&sort=num_votes,desc&count={num_movies}'''
   )
   _UpperCAmelCase											=      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

   UpperCAmelCase_											=  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)
       )
   )






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


UpperCAmelCase_											=  {
    "configuration_oneformer": ["ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "OneFormerConfig"],
    "processing_oneformer": ["OneFormerProcessor"],
}

try:
   if not is_vision_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase_											=  ["OneFormerImageProcessor"]

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase_											=  [
       "ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
       "OneFormerForUniversalSegmentation",
       "OneFormerModel",
       "OneFormerPreTrainedModel",
   ]

if TYPE_CHECKING:
   from .configuration_oneformer import ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, OneFormerConfig
   from .processing_oneformer import OneFormerProcessor

   try:
      if not is_vision_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .image_processing_oneformer import OneFormerImageProcessor
   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_oneformer import (
          ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
          OneFormerForUniversalSegmentation,
          OneFormerModel,
          OneFormerPreTrainedModel,
      )


else:
   import sys

   UpperCAmelCase_											=  _LazyModule(__name__, globals()["__file__"], _import_structure)