





'''simple docstring'''


from __future__ import annotations

import csv

import requests
from bsa import BeautifulSoup


def 	__a(SCREAMING_SNAKE_CASE_  :					str = ""    ):



    '''simple docstring'''





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


def 	__a(SCREAMING_SNAKE_CASE_  :					str = "IMDb_Top_250_Movies.csv"    ):



    '''simple docstring'''





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


if __name__ == "__main__":
       write_movies()






'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


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

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       _SCREAMING_SNAKE_CASE	 =							[
           "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

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


