





from __future__ import annotations

import csv

import requests
from bsa import BeautifulSoup


def     lowerCamelCase_	(      lowerCAmelCase:	str = ""				)->		dict[str, float]:
  _snake_case   :				Optional[Any]														=	url or 'https://www.imdb.com/chart/top/?ref_=nv_mv_250'
  _snake_case   :				List[str]														=	BeautifulSoup(requests.get(lowerCAmelCase				).text    ,							'html.parser'				)
  _snake_case   :				List[Any]														=	soup.find_all('td'    ,							attrs='titleColumn'				)
  _snake_case   :				List[Any]														=	soup.find_all('td'    ,							class_='ratingColumn imdbRating'				)
  return {
      title.a.text: float(rating.strong.text				)
      for title, rating in zip(lowerCAmelCase    ,							lowerCAmelCase				)
  }


def     lowerCamelCase_	(      lowerCAmelCase:	str = "IMDb_Top_250_Movies.csv"				)->		None:
  _snake_case   :				Dict														=	get_imdb_top_aaa_movies()
  with open(lowerCAmelCase    ,							'w'    ,							newline=''				) as out_file:
    _snake_case   :				Dict														=	csv.writer(lowerCAmelCase				)
    writer.writerow(['Movie title', 'IMDb rating']				)
    for title, rating in movies.items():
      writer.writerow([title, rating]				)


if __name__ == "__main__":
      write_movies()











from unittest import TestCase

from datasets import Dataset
from minhash_deduplication import deduplicate_dataset, make_duplicate_clusters


def     lowerCamelCase_	(      )->		Any:
  _snake_case   :				List[str]														=	{
      'repo_name': ['test_repo1', 'test_repo2', 'test_repo3'],
      'path': ['test_1.py', 'test_2.py', 'unit_test.py'],
      'content': ['a ' * 20, 'a ' * 30, 'b ' * 7],
  }
  _snake_case   :				Optional[Any]														=	Dataset.from_dict(lowerCAmelCase				)
  return dataset







class        _lowerCAmelCase    (			UpperCAmelCase_							):


  '''simple docstring'''







  def UpperCamelCase_ (      self      :					Dict							):


    '''simple docstring'''





    _snake_case   :				Union[str, Any]														=	get_dataset()
    _snake_case   :				Tuple														=	make_duplicate_clusters(UpperCamelCase      ,				0.85							)
    self.assertEqual(len(duplicate_clusters[0]							)      ,				2							)







  def UpperCamelCase_ (      self      :					Dict							):


    '''simple docstring'''





    _snake_case   :				List[str]														=	get_dataset()
    _snake_case							,					_snake_case   :				str														=	deduplicate_dataset(UpperCamelCase							)
    self.assertEqual(len(UpperCamelCase							)      ,				2							)
    print(UpperCamelCase							)
    self.assertEqual(duplicate_clusters[0][0]['copies']      ,				2							)
    self.assertEqual(duplicate_clusters[0][0]['is_extreme']      ,				UpperCamelCase							)




