



'''simple docstring'''






import pytest

from datasets import inspect_metric, list_metrics, load_metric


@pytest.fixture
def 				snake_case_  (      _lowerCAmelCase						:		str						)   ->     Tuple:
							monkeypatch.setattr('''datasets.utils.deprecation_utils._emitted_deprecation_warnings'''     ,   set()						)


@pytest.fixture
def 				snake_case_  (      _lowerCAmelCase						:		Dict						)   ->     int:

							class        SCREAMING_SNAKE_CASE:







								"""simple docstring"""






								def __init__(		self    :  Optional[int]	,    __snake_case    :  Optional[Any]	)    ->	int:
															UpperCAmelCase				: Tuple											=	metric_id

							class        SCREAMING_SNAKE_CASE:







								"""simple docstring"""






								lowerCamelCase__    				= [MetricMock(__SCREAMING_SNAKE_CASE    ) for metric_id in ["""accuracy""", """mse""", """precision""", """codeparrot/apps_metric"""]]







								def   A			(		self    :  Tuple	)    ->	Dict:
															return self._metrics

							monkeypatch.setattr('''datasets.inspect.huggingface_hub'''     ,   HfhMock()						)




@pytest.mark.parametrize(
    '''func, args'''     ,   [(load_metric, ('''metrics/mse''',)), (list_metrics, ()), (inspect_metric, ('''metrics/mse''', '''tmp_path'''))]						)
def 				snake_case_  (      _lowerCAmelCase						:		Tuple     ,   _lowerCAmelCase						:		Dict     ,   _lowerCAmelCase						:		Union[str, Any]     ,   _lowerCAmelCase						:		str     ,   _lowerCAmelCase						:		Optional[int]						)   ->     str:
							if "tmp_path" in args:
														UpperCAmelCase				: Any											=	tuple(arg if arg != '''tmp_path''' else tmp_path for arg in args						)
							with pytest.warns(a_     ,   match='''https://huggingface.co/docs/evaluate'''						):
														func(*a_						)










'''simple docstring'''






def 				snake_case_  (      _lowerCAmelCase						:		Tuple     ,   _lowerCAmelCase						:		Tuple     ,   _lowerCAmelCase						:		int     ,   _lowerCAmelCase						:		Tuple						)   ->     Union[str, Any]:
							# Return True if there is node that has not iterated.
							UpperCAmelCase				: Optional[Any]											=	[False] * len(_lowerCAmelCase						)
							UpperCAmelCase				: Dict											=	[]
							queue.append(_lowerCAmelCase						)
							UpperCAmelCase				: str											=	True

							while queue:
														UpperCAmelCase				: Optional[int]											=	queue.pop(0						)
														for ind in range(len(graph[u]						)						):
																					if visited[ind] is False and graph[u][ind] > 0:
																												queue.append(_lowerCAmelCase						)
																												UpperCAmelCase				: Union[str, Any]											=	True
																												UpperCAmelCase				: Optional[int]											=	u

							return visited[t]


def 				snake_case_  (      _lowerCAmelCase						:		Union[str, Any]     ,   _lowerCAmelCase						:		List[str]     ,   _lowerCAmelCase						:		List[str]						)   ->     Any:
							# This array is filled by BFS and to store path
							UpperCAmelCase				: Dict											=	[-1] * (len(_lowerCAmelCase						))
							UpperCAmelCase				: Any											=	0
							while bfs(_lowerCAmelCase     ,   _lowerCAmelCase     ,   _lowerCAmelCase     ,   _lowerCAmelCase						):
														UpperCAmelCase				: List[str]											=	float('''Inf'''						)
														UpperCAmelCase				: str											=	sink

														while s != source:
																					# Find the minimum value in select path
																					UpperCAmelCase				: int											=	min(_lowerCAmelCase     ,   graph[parent[s]][s]						)
																					UpperCAmelCase				: Tuple											=	parent[s]

														max_flow += path_flow
														UpperCAmelCase				: Optional[Any]											=	sink

														while v != source:
																					UpperCAmelCase				: Dict											=	parent[v]
																					graph[u][v] -= path_flow
																					graph[v][u] += path_flow
																					UpperCAmelCase				: Dict											=	parent[v]
							return max_flow


UpperCamelCase__:     Tuple										=    [
    [0, 16, 13, 0, 0, 0],
    [0, 0, 10, 12, 0, 0],
    [0, 4, 0, 0, 14, 0],
    [0, 0, 9, 0, 0, 20],
    [0, 0, 0, 7, 0, 4],
    [0, 0, 0, 0, 0, 0],
]

UpperCamelCase__			,      UpperCamelCase__:     int										=    0, 5




print(ford_fulkerson(graph, source, sink))





