

"""simple docstring"""





__UpperCamelCase  :      Any							      =		[
    [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   __SCREAMING_SNAKE_CASE  (      A_						,     A_						,     A_						,     A_ ):
	# Return True if there is node that has not iterated.
	lowerCAmelCase__	:						Union[str, Any]  				=	[False] * len(A_ )
	lowerCAmelCase__	:						Union[str, Any]  				=	[s]
	lowerCAmelCase__	:						Union[str, Any]  				=	True

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

	return visited[t]

def   __SCREAMING_SNAKE_CASE  (      A_						,     A_						,     A_ ):
	lowerCAmelCase__	:						List[Any]  				=	[-1] * (len(A_ ))
	lowerCAmelCase__	:						Any  				=	0
	lowerCAmelCase__	:						Any  				=	[]
	lowerCAmelCase__	:						Dict  				=	[i[:] for i in graph]  # Record original cut, copy.
	while bfs(A_						,     A_						,     A_						,     A_ ):
		lowerCAmelCase__	:						Optional[Any]  				=	float('''Inf''' )
		lowerCAmelCase__	:						List[Any]  				=	sink

		while s != source:
			# Find the minimum value in select path
			lowerCAmelCase__	:						Optional[Any]  				=	min(A_						,     graph[parent[s]][s] )
			lowerCAmelCase__	:						Dict  				=	parent[s]

		max_flow += path_flow
		lowerCAmelCase__	:						str  				=	sink

		while v != source:
			lowerCAmelCase__	:						List[Any]  				=	parent[v]
			graph[u][v] -= path_flow
			graph[v][u] += path_flow
			lowerCAmelCase__	:						List[Any]  				=	parent[v]

	for i in range(len(A_ ) ):
		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))







'''simple docstring'''



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase :       Union[str, Any]			   =     {'configuration_sew': ['SEW_PRETRAINED_CONFIG_ARCHIVE_MAP', 'SEWConfig']}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase :       Union[str, Any]			   =     [
      'SEW_PRETRAINED_MODEL_ARCHIVE_LIST',
      'SEWForCTC',
      'SEWForSequenceClassification',
      'SEWModel',
      'SEWPreTrainedModel',
  ]

if TYPE_CHECKING:
  from .configuration_sew import SEW_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_sew import (
        SEW_PRETRAINED_MODEL_ARCHIVE_LIST,
        SEWForCTC,
        SEWForSequenceClassification,
        SEWModel,
        SEWPreTrainedModel,
    )


else:
  import sys

  UpperCAmelCase :       int			   =     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






