


def 	_lowerCAmelCase       (    _lowerCAmelCase      ,	_lowerCAmelCase      ,	_lowerCAmelCase      ,	_lowerCAmelCase )						->	Tuple:


						'''simple docstring'''






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





def 	_lowerCAmelCase       (    _lowerCAmelCase      ,	_lowerCAmelCase      ,	_lowerCAmelCase      ,	_lowerCAmelCase )						->	Tuple:


						'''simple docstring'''






						__snake_case				=		[[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_:
																								__snake_case				=		max(val[i - 1] + dp[i - 1][w_ - wt[i - 1]]      ,	dp[i - 1][w_] )
																		else:
																								__snake_case				=		dp[i - 1][w_]

						return dp[n][w_], dp





def 	_lowerCAmelCase       (    _lowerCAmelCase      ,	_lowerCAmelCase      ,	_lowerCAmelCase )						->	List[str]:


						'''simple docstring'''






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

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

						__snake_case		,					__snake_case				=		knapsack(_lowerCAmelCase      ,	_lowerCAmelCase      ,	_lowerCAmelCase      ,	_lowerCAmelCase )
						__snake_case				=		set()
						_construct_solution(_lowerCAmelCase      ,	_lowerCAmelCase      ,	_lowerCAmelCase      ,	_lowerCAmelCase      ,	_lowerCAmelCase )

						return optimal_val, example_optional_set





def 	_lowerCAmelCase       (    _lowerCAmelCase      ,	_lowerCAmelCase      ,	_lowerCAmelCase      ,	_lowerCAmelCase      ,	_lowerCAmelCase )						->	Optional[Any]:


						'''simple docstring'''






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


if __name__ == "__main__":
	A							:					Union[str, Any]     						=     [3, 2, 4, 4]
	A							:					Tuple     						=     [4, 3, 2, 3]
	A							:					Union[str, Any]     						=     4
	A							:					Dict     						=     6
	A							:					List[Any]     						=     [[0] * (w + 1)] + [[0] + [-1] * (w + 1) for _ in range(n + 1)]
	A						,  A							:					Dict     						=     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)









import os
from datetime import datetime as dt

from github import Github


A							:					Union[str, Any]     						=     [
    'good first issue',
    'good second issue',
    'good difficult issue',
    'enhancement',
    'new pipeline/model',
    'new scheduler',
    'wip',
]





def 	_lowerCAmelCase       (    )						->	str:


						'''simple docstring'''






						__snake_case				=		Github(os.environ["GITHUB_TOKEN"] )
						__snake_case				=		g.get_repo("huggingface/diffusers" )
						__snake_case				=		repo.get_issues(state="open" )

						for issue in open_issues:
												__snake_case				=		sorted(issue.get_comments()      ,	key=lambda _lowerCAmelCase : i.created_at      ,	reverse=_lowerCAmelCase )
												__snake_case				=		comments[0] if len(_lowerCAmelCase ) > 0 else None
												if (
												    last_comment is not None
												    and last_comment.user.login == "github-actions[bot]"
												    and (dt.utcnow() - issue.updated_at).days > 7
												    and (dt.utcnow() - issue.created_at).days >= 30
												    and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels() )
												):
																		# Closes the issue after 7 days of inactivity since the Stalebot notification.
																		issue.edit(state="closed" )
												elif (
												    "stale" in issue.get_labels()
												    and last_comment is not None
												    and last_comment.user.login != "github-actions[bot]"
												):
																		# Opens the issue if someone other than Stalebot commented.
																		issue.edit(state="open" )
																		issue.remove_from_labels("stale" )
												elif (
												    (dt.utcnow() - issue.updated_at).days > 23
												    and (dt.utcnow() - issue.created_at).days >= 30
												    and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels() )
												):
																		# Post a Stalebot notification after 23 days of inactivity.
																		issue.create_comment(
																		    "This issue has been automatically marked as stale because it has not had "
																		    "recent activity. If you think this still needs to be addressed "
																		    "please comment on this thread.\n\nPlease note that issues that do not follow the "
																		    "[contributing guidelines](https://github.com/huggingface/diffusers/blob/main/CONTRIBUTING.md) "
																		    "are likely to be ignored." )
																		issue.add_to_labels("stale" )


if __name__ == "__main__":
	main()





