

import bsa
import requests


def     _UpperCAmelCase				(     _SCREAMING_SNAKE_CASE    :						bsa.element.ResultSet				):





    """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     _UpperCAmelCase				(     _SCREAMING_SNAKE_CASE    :						int = 5				):





    """simple docstring"""


    SCREAMING_SNAKE_CASE_													=  int(float(_SCREAMING_SNAKE_CASE				)				)
    if num_movies < 1:
        return ()
    SCREAMING_SNAKE_CASE_													=  (
        'https://www.imdb.com/search/title?title_type='
        f"""feature&sort=num_votes,desc&count={num_movies}"""
    )
    SCREAMING_SNAKE_CASE_													=  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__     :					Optional[int]								=			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__     :					Dict								=			{
    "configuration_donut_swin": ["DONUT_SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP", "DonutSwinConfig"],
    "processing_donut": ["DonutProcessor"],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       UpperCamelCase__     :					Optional[int]								=			[
           "DONUT_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
           "DonutSwinModel",
           "DonutSwinPreTrainedModel",
       ]

try:
       if not is_vision_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       UpperCamelCase__     :					List[Any]								=			["DonutFeatureExtractor"]
       UpperCamelCase__     :					Dict								=			["DonutImageProcessor"]


if TYPE_CHECKING:
       from .configuration_donut_swin import DONUT_SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, DonutSwinConfig
       from .processing_donut import DonutProcessor

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_donut_swin import (
                  DONUT_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
                  DonutSwinModel,
                  DonutSwinPreTrainedModel,
              )

       try:
              if not is_vision_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .feature_extraction_donut import DonutFeatureExtractor
              from .image_processing_donut import DonutImageProcessor

else:
       import sys

       UpperCamelCase__     :					Tuple								=			_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


