
"""simple docstring"""







from __future__ import annotations

import csv

import requests
from bsa import BeautifulSoup




def       A_      (       lowercase = ""   )  ->				List[str]:


     """simple docstring"""







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




def       A_      (       lowercase = "IMDb_Top_250_Movies.csv"   )  ->				Tuple:


     """simple docstring"""







     UpperCAmelCase_    :     List[str]            =	get_imdb_top_aaa_movies()
     with open(lowercase    ,			"""w"""    ,			newline=""""""   ) as out_file:
          UpperCAmelCase_    :     str            =	csv.writer(lowercase   )
          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

from datasets.utils.sharding import _distribute_shards, _number_of_shards_in_gen_kwargs, _split_gen_kwargs






@pytest.mark.parametrize(
    """kwargs, expected""" ,[
        ({"""num_shards""": 0, """max_num_jobs""": 1}, []),
        ({"""num_shards""": 10, """max_num_jobs""": 1}, [range(10		)]),
        ({"""num_shards""": 10, """max_num_jobs""": 10}, [range(lowercase ,i + 1		) for i in range(10		)]),
        ({"""num_shards""": 1, """max_num_jobs""": 10}, [range(1		)]),
        ({"""num_shards""": 10, """max_num_jobs""": 3}, [range(0 ,4		), range(4 ,7		), range(7 ,10		)]),
        ({"""num_shards""": 3, """max_num_jobs""": 10}, [range(0 ,1		), range(1 ,2		), range(2 ,3		)]),
    ] ,)
def      __UpperCAmelCase       (      lowercase ,lowercase		):







  """simple docstring"""
  _UpperCAmelCase    			=   _distribute_shards(**lowercase		)
  assert out == expected






@pytest.mark.parametrize(
    """gen_kwargs, max_num_jobs, expected""" ,[
        ({"""foo""": 0}, 10, [{"""foo""": 0}]),
        ({"""shards""": [0, 1, 2, 3]}, 1, [{"""shards""": [0, 1, 2, 3]}]),
        ({"""shards""": [0, 1, 2, 3]}, 4, [{"""shards""": [0]}, {"""shards""": [1]}, {"""shards""": [2]}, {"""shards""": [3]}]),
        ({"""shards""": [0, 1]}, 4, [{"""shards""": [0]}, {"""shards""": [1]}]),
        ({"""shards""": [0, 1, 2, 3]}, 2, [{"""shards""": [0, 1]}, {"""shards""": [2, 3]}]),
    ] ,)
def      __UpperCAmelCase       (      lowercase ,lowercase ,lowercase		):







  """simple docstring"""
  _UpperCAmelCase    			=   _split_gen_kwargs(lowercase ,lowercase		)
  assert out == expected






@pytest.mark.parametrize(
    """gen_kwargs, expected""" ,[
        ({"""foo""": 0}, 1),
        ({"""shards""": [0]}, 1),
        ({"""shards""": [0, 1, 2, 3]}, 4),
        ({"""shards""": [0, 1, 2, 3], """foo""": 0}, 4),
        ({"""shards""": [0, 1, 2, 3], """other""": (0, 1)}, 4),
        ({"""shards""": [0, 1, 2, 3], """shards2""": [0, 1]}, RuntimeError),
    ] ,)
def      __UpperCAmelCase       (      lowercase ,lowercase		):







  """simple docstring"""
  if expected is RuntimeError:
    with pytest.raises(lowercase		):
      _number_of_shards_in_gen_kwargs(lowercase		)
  else:
    _UpperCAmelCase    			=   _number_of_shards_in_gen_kwargs(lowercase		)
    assert out == expected
