





from __future__ import annotations

import csv

import requests
from bsa import BeautifulSoup





def 						lowerCamelCase__     (     UpperCamelCase__			:       Optional[Any] = ""						)			-> Optional[int]:



     '''simple docstring'''




     _snake_case									=				url or 'https://www.imdb.com/chart/top/?ref_=nv_mv_250'
     _snake_case									=				BeautifulSoup(requests.get(_lowercase						).text       ,    'html.parser'						)
     _snake_case									=				soup.find_all('td'       ,    attrs='titleColumn'						)
     _snake_case									=				soup.find_all('td'       ,    class_='ratingColumn imdbRating'						)
     return {
         title.a.text: float(rating.strong.text						)
         for title, rating in zip(_lowercase       ,    _lowercase						)
     }





def 						lowerCamelCase__     (     UpperCamelCase__			:       str = "IMDb_Top_250_Movies.csv"						)			-> int:



     '''simple docstring'''




     _snake_case									=				get_imdb_top_aaa_movies()
     with open(_lowercase       ,    'w'       ,    newline=''						) as out_file:
          _snake_case									=				csv.writer(_lowercase						)
          writer.writerow(['Movie title', 'IMDb rating']						)
          for title, rating in movies.items():
               writer.writerow([title, rating]						)


if __name__ == "__main__":
     write_movies()










from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase_      							=     {
    """configuration_bigbird_pegasus""": [
        """BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """BigBirdPegasusConfig""",
        """BigBirdPegasusOnnxConfig""",
    ],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					UpperCAmelCase_      							=     [
					    """BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """BigBirdPegasusForCausalLM""",
					    """BigBirdPegasusForConditionalGeneration""",
					    """BigBirdPegasusForQuestionAnswering""",
					    """BigBirdPegasusForSequenceClassification""",
					    """BigBirdPegasusModel""",
					    """BigBirdPegasusPreTrainedModel""",
					]


if TYPE_CHECKING:
					from .configuration_bigbird_pegasus import (
					    BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    BigBirdPegasusConfig,
					    BigBirdPegasusOnnxConfig,
					)

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_bigbird_pegasus import (
										    BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST,
										    BigBirdPegasusForCausalLM,
										    BigBirdPegasusForConditionalGeneration,
										    BigBirdPegasusForQuestionAnswering,
										    BigBirdPegasusForSequenceClassification,
										    BigBirdPegasusModel,
										    BigBirdPegasusPreTrainedModel,
										)


else:
					import sys

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



