
def A				(__lowerCamelCase				:List[str]			,     __lowerCamelCase				:Dict			,     __lowerCamelCase				:Any			,     __lowerCamelCase				:List[str]		):
						# Return True if there is node that has not iterated.
						_lowerCAmelCase  						=			[False] * len(__lowerCamelCase		)
						_lowerCAmelCase  						=			[]
						queue.append(__lowerCamelCase		)
						_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(__lowerCamelCase		)
																								_lowerCAmelCase  						=			True
																								_lowerCAmelCase  						=			u

						return visited[t]


def A				(__lowerCamelCase				:Tuple			,     __lowerCamelCase				:Dict			,     __lowerCamelCase				:Union[str, Any]		):
						# This array is filled by BFS and to store path
						_lowerCAmelCase  						=			[-1] * (len(__lowerCamelCase		))
						_lowerCAmelCase  						=			0
						while bfs(__lowerCamelCase			,     __lowerCamelCase			,     __lowerCamelCase			,     __lowerCamelCase		):
												_lowerCAmelCase  						=			float("""Inf"""		)
												_lowerCAmelCase  						=			sink

												while s != source:
																		# Find the minimum value in select path
																		_lowerCAmelCase  						=			min(__lowerCamelCase			,     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]
						return max_flow


_lowercase    =		[
    [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],
]

_lowercase   ,						_lowercase    =		0, 5





print(ford_fulkerson(graph, source, sink))


'''simple docstring'''



from ...configuration_utils import PretrainedConfig




class   UpperCAmelCase_					(		_SCREAMING_SNAKE_CASE			):






						'''simple docstring'''






						_lowercase		:				Tuple									=       '''bert-generation'''




						def __init__( self   ,       _lowercase=50_358   ,       _lowercase=1_024   ,       _lowercase=24   ,       _lowercase=16   ,       _lowercase=4_096   ,       _lowercase="gelu"   ,       _lowercase=0.1   ,       _lowercase=0.1   ,       _lowercase=512   ,       _lowercase=0.02   ,       _lowercase=1e-12   ,       _lowercase=0   ,       _lowercase=2   ,       _lowercase=1   ,       _lowercase="absolute"   ,       _lowercase=True   ,       **_lowercase   ,       ):

												"""simple docstring"""



												super().__init__(pad_token_id=_lowercase   ,       bos_token_id=_lowercase   ,       eos_token_id=_lowercase   ,       **_lowercase				)

												_lowerCAmelCase  						=			vocab_size
												_lowerCAmelCase  						=			hidden_size
												_lowerCAmelCase  						=			num_hidden_layers
												_lowerCAmelCase  						=			num_attention_heads
												_lowerCAmelCase  						=			hidden_act
												_lowerCAmelCase  						=			intermediate_size
												_lowerCAmelCase  						=			hidden_dropout_prob
												_lowerCAmelCase  						=			attention_probs_dropout_prob
												_lowerCAmelCase  						=			max_position_embeddings
												_lowerCAmelCase  						=			initializer_range
												_lowerCAmelCase  						=			layer_norm_eps
												_lowerCAmelCase  						=			position_embedding_type
												_lowerCAmelCase  						=			use_cache
