
from __future__ import annotations

import csv

import requests
from bsa import BeautifulSoup







def 						_snake_case(  SCREAMING_SNAKE_CASE__ = ""    )			->   dict[str, float]:
       lowercase							:					Dict	     =				url or """https://www.imdb.com/chart/top/?ref_=nv_mv_250"""
       lowercase							:					Tuple	     =				BeautifulSoup(requests.get(SCREAMING_SNAKE_CASE__    ).text ,     """html.parser"""    )
       lowercase							:					Optional[Any]	     =				soup.find_all("""td""" ,     attrs="""titleColumn"""    )
       lowercase							:					Union[str, Any]	     =				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 						_snake_case(  SCREAMING_SNAKE_CASE__ = "IMDb_Top_250_Movies.csv"    )			->   None:
       lowercase							:					str	     =				get_imdb_top_aaa_movies()
       with open(SCREAMING_SNAKE_CASE__ ,     """w""" ,     newline=""""""    ) as out_file:
              lowercase							:					Tuple	     =				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()


from __future__ import annotations

from itertools import permutations
from random import randint
from timeit import repeat







def 						_snake_case(  )			->   tuple[list[int], int]:
       lowercase							:					List[Any]	     =				[randint(-1_000 ,     1_000    ) for i in range(10    )]
       lowercase							:					Tuple	     =				randint(-5_000 ,     5_000    )
       return (arr, r)


lowercase  : List[Any]						   =							make_dataset()







def 						_snake_case(  SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )			->   tuple[int, ...]:
       for triplet in permutations(SCREAMING_SNAKE_CASE__ ,     3    ):
              if sum(SCREAMING_SNAKE_CASE__    ) == target:
                     return tuple(sorted(SCREAMING_SNAKE_CASE__    )    )
       return (0, 0, 0)







def 						_snake_case(  SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )			->   tuple[int, int, int]:
       arr.sort()
       lowercase							:					Optional[int]	     =				len(SCREAMING_SNAKE_CASE__    )
       for i in range(n - 1    ):
              lowercase     ,      lowercase							:					Optional[Any]	     =				i + 1, n - 1
              while left < right:
                     if arr[i] + arr[left] + arr[right] == target:
                            return (arr[i], arr[left], arr[right])
                     elif arr[i] + arr[left] + arr[right] < target:
                            left += 1
                     elif arr[i] + arr[left] + arr[right] > target:
                            right -= 1
       return (0, 0, 0)







def 						_snake_case(  )			->   tuple[float, float]:
       lowercase							:					Dict	     =				"""
from __main__ import dataset, triplet_sum1, triplet_sum2
"""
       lowercase							:					Tuple	     =				"""
triplet_sum1(*dataset)
"""
       lowercase							:					int	     =				"""
triplet_sum2(*dataset)
"""
       lowercase							:					str	     =				repeat(setup=SCREAMING_SNAKE_CASE__ ,     stmt=SCREAMING_SNAKE_CASE__ ,     repeat=5 ,     number=10_000    )
       lowercase							:					Dict	     =				repeat(setup=SCREAMING_SNAKE_CASE__ ,     stmt=SCREAMING_SNAKE_CASE__ ,     repeat=5 ,     number=10_000    )
       return (min(SCREAMING_SNAKE_CASE__    ), min(SCREAMING_SNAKE_CASE__    ))


if __name__ == "__main__":
  from doctest import testmod

  testmod()
  lowercase  : Union[str, Any]						   =							solution_times()
  print(F'''The time for naive implementation is {times[0]}.''')
  print(F'''The time for optimized implementation is {times[1]}.''')
