






import bsa
import requests



def        _lowerCamelCase(      lowerCAmelCase__					:		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        _lowerCamelCase(      lowerCAmelCase__					:		int = 5   ):





				'''simple docstring'''







				SCREAMING_SNAKE_CASE_ :						Optional[Any]    				= int(float(lowerCAmelCase__   )   )
				if num_movies < 1:
								return ()
				SCREAMING_SNAKE_CASE_ :						Union[str, 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(lowerCAmelCase__   ).content     ,     'html.parser'   )
				return tuple(
				    get_movie_data_from_soup(lowerCAmelCase__   )
				    for movie in source.find_all('div'     ,     class_='lister-item mode-advanced'   )   )


if __name__ == "__main__":
				import json

				A										=      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


A										=      {'configuration_detr': ['DETR_PRETRAINED_CONFIG_ARCHIVE_MAP', 'DetrConfig', 'DetrOnnxConfig']}

try:
				if not is_vision_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				A										=      ['DetrFeatureExtractor']
				A										=      ['DetrImageProcessor']

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				A										=      [
				    'DETR_PRETRAINED_MODEL_ARCHIVE_LIST',
				    'DetrForObjectDetection',
				    'DetrForSegmentation',
				    'DetrModel',
				    'DetrPreTrainedModel',
				]


if TYPE_CHECKING:
				from .configuration_detr import DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DetrConfig, DetrOnnxConfig

				try:
								if not is_vision_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .feature_extraction_detr import DetrFeatureExtractor
								from .image_processing_detr import DetrImageProcessor

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_detr import (
								    DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
								    DetrForObjectDetection,
								    DetrForSegmentation,
								    DetrModel,
								    DetrPreTrainedModel,
								)

else:
				import sys

				A										=      _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)