



'''simple docstring'''

from __future__ import annotations

import csv

import requests
from bsa import BeautifulSoup






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						str = ""							)      ->						dict[str, float]:







 """simple docstring"""
 lowerCAmelCase   =     url or """https://www.imdb.com/chart/top/?ref_=nv_mv_250"""
 lowerCAmelCase   =     BeautifulSoup(requests.get(a__							).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(a__							,		a__							)
 }






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						str = "IMDb_Top_250_Movies.csv"							)      ->						None:







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


if __name__ == "__main__":
    write_movies()




'''simple docstring'''

import pytest

import datasets


# Import fixture modules as plugins
UpperCAmelCase     		=   ['tests.fixtures.files', 'tests.fixtures.hub', 'tests.fixtures.fsspec']






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						str							,		_SCREAMING_SNAKE_CASE					:						int							)      ->						Optional[int]:







	"""simple docstring"""
	# Mark tests as "unit" by default if not marked as "integration" (or already marked as "unit")
	for item in items:
		if any(marker in item.keywords for marker in ["""integration""", """unit"""]							):
			continue
		item.add_marker(pytest.mark.unit							)






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						List[str]							)      ->						Any:







	"""simple docstring"""
	config.addinivalue_line("""markers"""							,		"""torchaudio_latest: mark test to run with torchaudio>=0.12"""							)






@pytest.fixture(autouse=_SCREAMING_SNAKE_CASE							)
def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						Dict							,		_SCREAMING_SNAKE_CASE					:						Dict							)      ->						str:







	"""simple docstring"""
	# test_hf_cache_home = tmp_path_factory.mktemp("cache")  # TODO: why a cache dir per test function does not work?
	lowerCAmelCase   =     tmp_path_factory.getbasetemp() / """cache"""
	lowerCAmelCase   =     test_hf_cache_home / """datasets"""
	lowerCAmelCase   =     test_hf_cache_home / """metrics"""
	lowerCAmelCase   =     test_hf_cache_home / """modules"""
	monkeypatch.setattr("""datasets.config.HF_DATASETS_CACHE"""							,		str(_SCREAMING_SNAKE_CASE							)							)
	monkeypatch.setattr("""datasets.config.HF_METRICS_CACHE"""							,		str(_SCREAMING_SNAKE_CASE							)							)
	monkeypatch.setattr("""datasets.config.HF_MODULES_CACHE"""							,		str(_SCREAMING_SNAKE_CASE							)							)
	lowerCAmelCase   =     test_hf_datasets_cache / """downloads"""
	monkeypatch.setattr("""datasets.config.DOWNLOADED_DATASETS_PATH"""							,		str(_SCREAMING_SNAKE_CASE							)							)
	lowerCAmelCase   =     test_hf_datasets_cache / """downloads""" / """extracted"""
	monkeypatch.setattr("""datasets.config.EXTRACTED_DATASETS_PATH"""							,		str(_SCREAMING_SNAKE_CASE							)							)






@pytest.fixture(autouse=_SCREAMING_SNAKE_CASE							,		scope="""session"""							)
def 		_snake_case		( )      ->						Optional[Any]:







	"""simple docstring"""
	datasets.disable_progress_bar()






@pytest.fixture(autouse=_SCREAMING_SNAKE_CASE							)
def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						Any							)      ->						Optional[int]:







	"""simple docstring"""
	# don't take tests into account when counting downloads
	monkeypatch.setattr("""datasets.config.HF_UPDATE_DOWNLOAD_COUNTS"""							,		_SCREAMING_SNAKE_CASE							)






@pytest.fixture
def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						List[str]							)      ->						str:







	"""simple docstring"""
	# Required to suppress RemovedIn20Warning when feature(s) are not compatible with SQLAlchemy 2.0
	# To be removed once SQLAlchemy 2.0 supported
	monkeypatch.setattr("""sqlalchemy.util.deprecations.SILENCE_UBER_WARNING"""							,		_SCREAMING_SNAKE_CASE							)