

lowerCamelCase      				=     [
    [0, 1_6, 1_3, 0, 0, 0],
    [0, 0, 1_0, 1_2, 0, 0],
    [0, 4, 0, 0, 1_4, 0],
    [0, 0, 9, 0, 0, 2_0],
    [0, 0, 0, 7, 0, 4],
    [0, 0, 0, 0, 0, 0],
]


def 		__lowercase    (  UpperCAmelCase__		,					UpperCAmelCase__		,					UpperCAmelCase__		,					UpperCAmelCase__      ):

					"""simple docstring"""






					__lowerCAmelCase					=							[False] * len(__SCREAMING_SNAKE_CASE      )
					__lowerCAmelCase					=							[s]
					__lowerCAmelCase					=							True

					while queue:
										__lowerCAmelCase					=							queue.pop(0      )
										for ind in range(len(graph[u]      )      ):
															if visited[ind] is False and graph[u][ind] > 0:
																				queue.append(__SCREAMING_SNAKE_CASE      )
																				__lowerCAmelCase					=							True
																				__lowerCAmelCase					=							u

					return visited[t]


def 		__lowercase    (  UpperCAmelCase__		,					UpperCAmelCase__		,					UpperCAmelCase__      ):

					"""simple docstring"""






					__lowerCAmelCase					=							[-1] * (len(__SCREAMING_SNAKE_CASE      ))
					__lowerCAmelCase					=							0
					__lowerCAmelCase					=							[]
					__lowerCAmelCase					=							[i[:] for i in graph]  # Record original cut, copy.
					while bfs(__SCREAMING_SNAKE_CASE		,					__SCREAMING_SNAKE_CASE		,					__SCREAMING_SNAKE_CASE		,					__SCREAMING_SNAKE_CASE      ):
										__lowerCAmelCase					=							float('Inf'      )
										__lowerCAmelCase					=							sink

										while s != source:
															# Find the minimum value in select path
															__lowerCAmelCase					=							min(__SCREAMING_SNAKE_CASE		,					graph[parent[s]][s]      )
															__lowerCAmelCase					=							parent[s]

										max_flow += path_flow
										__lowerCAmelCase					=							sink

										while v != source:
															__lowerCAmelCase					=							parent[v]
															graph[u][v] -= path_flow
															graph[v][u] += path_flow
															__lowerCAmelCase					=							parent[v]

					for i in range(len(__SCREAMING_SNAKE_CASE      )      ):
										for j in range(len(graph[0]      )      ):
															if graph[i][j] == 0 and temp[i][j] > 0:
																				res.append((i, j)      )

					return res


if __name__ == "__main__":
		print(mincut(test_graph, source=0, sink=5))









from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


lowerCamelCase      				=     {'''configuration_unispeech''': ['''UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''UniSpeechConfig''']}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowerCamelCase      				=     [
		    '''UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''UniSpeechForCTC''',
		    '''UniSpeechForPreTraining''',
		    '''UniSpeechForSequenceClassification''',
		    '''UniSpeechModel''',
		    '''UniSpeechPreTrainedModel''',
		]

if TYPE_CHECKING:
		from .configuration_unispeech import UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP, UniSpeechConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_unispeech import (
				    UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST,
				    UniSpeechForCTC,
				    UniSpeechForPreTraining,
				    UniSpeechForSequenceClassification,
				    UniSpeechModel,
				    UniSpeechPreTrainedModel,
				)

else:
		import sys

		lowerCamelCase      				=     _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)






