


from __future__ import annotations

import typing
from collections.abc import Iterable

import numpy as np

A							:					int     						=     typing.Union[Iterable[float], Iterable[int], np.ndarray]  # noqa: UP007
A							:					Any     						=     typing.Union[np.floataa, int, float]  # noqa: UP007





def 	_lowerCAmelCase       (    _lowerCAmelCase      ,	_lowerCAmelCase )						->	VectorOut:


						'''simple docstring'''






						return np.sqrt(np.sum((np.asarray(_lowerCAmelCase ) - np.asarray(_lowerCAmelCase )) ** 2 ) )





def 	_lowerCAmelCase       (    _lowerCAmelCase      ,	_lowerCAmelCase )						->	VectorOut:


						'''simple docstring'''






						return sum((va - va) ** 2 for va, va in zip(_lowerCAmelCase      ,	_lowerCAmelCase ) ) ** (1 / 2)


if __name__ == "__main__":





	def 	_lowerCAmelCase       (    )						->	None:


							'''simple docstring'''






							from timeit import timeit

							print("Without Numpy" )
							print(
							    timeit(
							        "euclidean_distance_no_np([1, 2, 3], [4, 5, 6])"      ,	number=1_0000      ,	globals=globals()      ,	) )
							print("With Numpy" )
							print(
							    timeit(
							        "euclidean_distance([1, 2, 3], [4, 5, 6])"      ,	number=1_0000      ,	globals=globals()      ,	) )


	benchmark()









from __future__ import annotations

import csv

import requests
from bsa import BeautifulSoup





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


						'''simple docstring'''






						__snake_case				=		url or "https://www.imdb.com/chart/top/?ref_=nv_mv_250"
						__snake_case				=		BeautifulSoup(requests.get(_lowerCAmelCase ).text      ,	"html.parser" )
						__snake_case				=		soup.find_all("td"      ,	attrs="titleColumn" )
						__snake_case				=		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 = "IMDb_Top_250_Movies.csv" )						->	None:


						'''simple docstring'''






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


if __name__ == "__main__":
	write_movies()





