





_SCREAMING_SNAKE_CASE   						=		{
    0: """underwear""",
    1: """pants""",
    2: """belt""",
    3: """suit""",
    4: """shoe""",
    5: """socks""",
    6: """shirt""",
    7: """tie""",
    8: """watch""",
}

_SCREAMING_SNAKE_CASE   						=		[[1, 4], [2, 4], [3], [], [], [4], [2, 7], [3], []]

_SCREAMING_SNAKE_CASE   						=		[0 for x in range(len(graph))]
_SCREAMING_SNAKE_CASE   						=		[]


def 				SCREAMING_SNAKE_CASE__    (     __a ,			__a ):
	snake_case_		:      Any           =						1
	while stack:
		snake_case_		:      List[Any]           =						stack.pop()
		print(__a ,			clothes[current_clothing] )
		order += 1


def 				SCREAMING_SNAKE_CASE__    (     __a ,			__a ,			__a ):
	snake_case_		:      int           =						1
	for v in graph[u]:
		if not visited[v]:
			depth_first_search(__a ,			__a ,			__a )

	stack.append(__a )


def 				SCREAMING_SNAKE_CASE__    (     __a ,			__a ):
	for v in range(len(__a ) ):
		if not visited[v]:
			depth_first_search(__a ,			__a ,			__a )


if __name__ == "__main__":
						topological_sort(graph, visited)
						print(stack)
						print_stack(stack, clothes)








import unittest
from pathlib import Path
from tempfile import TemporaryDirectory
from unittest.mock import Mock, patch

import diffusers.utils.hub_utils
class SCREAMING_SNAKE_CASE_    (       unittest.TestCase       ):






						@patch('diffusers.utils.hub_utils.get_full_repo_name'						)
						def UpperCAmelCase_					(   self   :   Optional[int]		, _A   :   Mock						)				->     None:







							"""simple docstring"""


							snake_case_		:      Optional[Any]           =						'full_repo_name'
							with TemporaryDirectory() as tmpdir:
								# Dummy args values
								snake_case_		:      Optional[int]           =						Mock()
								snake_case_		:      Union[str, Any]           =						tmpdir
								snake_case_		:      Optional[Any]           =						0
								snake_case_		:      Union[str, Any]           =						'hub_token'
								snake_case_		:      Any           =						'dataset_name'
								snake_case_		:      Tuple           =						0.0_1
								snake_case_		:      Dict           =						100000
								snake_case_		:      Any           =						10000
								snake_case_		:      str           =						0.0_1
								snake_case_		:      Any           =						0.0_2
								snake_case_		:      Optional[Any]           =						0.0_3
								snake_case_		:      Tuple           =						0.0_0_0_5
								snake_case_		:      Tuple           =						0.0_0_0_0_0_1
								snake_case_		:      str           =						1
								snake_case_		:      Optional[int]           =						10
								snake_case_		:      List[str]           =						0.0_0_1
								snake_case_		:      Any           =						0.1
								snake_case_		:      List[str]           =						0.2
								snake_case_		:      Dict           =						True

								# Model card mush be rendered and saved
								diffusers.utils.hub_utils.create_model_card(_A		, model_name='model_name'						)
								self.assertTrue((Path(_A						) / 'README.md').is_file()						)

