


def 					UpperCamelCase   (      __magic_name__	:				Optional[int]       ,       __magic_name__	:				int       ,       __magic_name__	:				Union[str, Any]       ,       __magic_name__	:				Optional[Any]	)  ->    Tuple:
		"""simple docstring"""




		global f  # a global dp table for knapsack
		if f[i][j] < 0:
				if j < wt[i - 1]:
						lowercase__	     =						mf_knapsack(i - 1       ,       __magic_name__       ,       __magic_name__       ,       __magic_name__	)
				else:
						lowercase__	     =						max(
						    mf_knapsack(i - 1       ,       __magic_name__       ,       __magic_name__       ,       __magic_name__	)       ,       mf_knapsack(i - 1       ,       __magic_name__       ,       __magic_name__       ,       j - wt[i - 1]	) + val[i - 1]       ,       )
				lowercase__	     =						val
		return f[i][j]






def 					UpperCamelCase   (      __magic_name__	:				int       ,       __magic_name__	:				Optional[int]       ,       __magic_name__	:				List[Any]       ,       __magic_name__	:				int	)  ->    Tuple:
		"""simple docstring"""




		lowercase__	     =						[[0] * (w + 1) for _ in range(n + 1	)]

		for i in range(1       ,       n + 1	):
				for w_ in range(1       ,       w + 1	):
						if wt[i - 1] <= w_:
								lowercase__	     =						max(val[i - 1] + dp[i - 1][w_ - wt[i - 1]]       ,       dp[i - 1][w_]	)
						else:
								lowercase__	     =						dp[i - 1][w_]

		return dp[n][w_], dp






def 					UpperCamelCase   (      __magic_name__	:				int       ,       __magic_name__	:				list       ,       __magic_name__	:				list	)  ->    Optional[int]:
		"""simple docstring"""




		if not (isinstance(__magic_name__       ,       (list, tuple)	) and isinstance(__magic_name__       ,       (list, tuple)	)):
				raise ValueError(
				    """Both the weights and values vectors must be either lists or tuples"""	)

		lowercase__	     =						len(__magic_name__	)
		if num_items != len(__magic_name__	):
				lowercase__	     =						(
				    """The number of weights must be the same as the number of values.\n"""
				    f'''But got {num_items} weights and {len(__magic_name__	)} values'''
				)
				raise ValueError(__magic_name__	)
		for i in range(__magic_name__	):
				if not isinstance(wt[i]       ,       __magic_name__	):
						lowercase__	     =						(
						    """All weights must be integers but got weight of """
						    f'''type {type(wt[i]	)} at index {i}'''
						)
						raise TypeError(__magic_name__	)

		lowercase__     ,      lowercase__	     =						knapsack(__magic_name__       ,       __magic_name__       ,       __magic_name__       ,       __magic_name__	)
		lowercase__	     =						set()
		_construct_solution(__magic_name__       ,       __magic_name__       ,       __magic_name__       ,       __magic_name__       ,       __magic_name__	)

		return optimal_val, example_optional_set






def 					UpperCamelCase   (      __magic_name__	:				list       ,       __magic_name__	:				list       ,       __magic_name__	:				int       ,       __magic_name__	:				int       ,       __magic_name__	:				set	)  ->    str:
		"""simple docstring"""




		if i > 0 and j > 0:
				if dp[i - 1][j] == dp[i][j]:
						_construct_solution(__magic_name__       ,       __magic_name__       ,       i - 1       ,       __magic_name__       ,       __magic_name__	)
				else:
						optimal_set.add(__magic_name__	)
						_construct_solution(__magic_name__       ,       __magic_name__       ,       i - 1       ,       j - wt[i - 1]       ,       __magic_name__	)


if __name__ == "__main__":
	A			:						List[str]        =  [3, 2, 4, 4]
	A			:						Tuple        =  [4, 3, 2, 3]
	A			:						Union[str, Any]        =  4
	A			:						Optional[Any]        =  6
	A			:						str        =  [[0] * (w + 1)] + [[0] + [-1] * (w + 1) for _ in range(n + 1)]
	A    , A			:						Optional[Any]        =  knapsack(w, wt, val, n)
	print(optimal_solution)
	print(mf_knapsack(n, wt, val, w))  # switched the n and w

	# testing the dynamic programming problem with example
	# the optimal subset for the above example are items 3 and 4
	A    , A			:						Optional[int]        =  knapsack_with_example_solution(w, wt, val)
	assert optimal_solution == 8
	assert optimal_subset == {3, 4}
	print('optimal_value = ', optimal_solution)
	print('An optimal subset corresponding to the optimal value', optimal_subset)









from __future__ import annotations

import csv

import requests
from bsa import BeautifulSoup





def    __lowerCAmelCase   (    __snake_case = ""							):
     __lowerCAmelCase             =       url or "https://www.imdb.com/chart/top/?ref_=nv_mv_250"
     __lowerCAmelCase             =       BeautifulSoup(requests.get(__snake_case							).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(__snake_case       ,			__snake_case							)
     }





def    __lowerCAmelCase   (    __snake_case = "IMDb_Top_250_Movies.csv"							):
     __lowerCAmelCase             =       get_imdb_top_aaa_movies()
     with open(__snake_case       ,			"w"       ,			newline=""							) as out_file:
          __lowerCAmelCase             =       csv.writer(__snake_case							)
          writer.writerow(["Movie title", "IMDb rating"]							)
          for title, rating in movies.items():
               writer.writerow([title, rating]							)


if __name__ == "__main__":
 write_movies()






