






def    __lowerCAmelCase   (    __snake_case       ,			__snake_case       ,			__snake_case       ,			__snake_case							):
     __lowerCAmelCase             =       [False] * len(__snake_case							)
     __lowerCAmelCase             =       []
     queue.append(__snake_case							)
     __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(__snake_case							)
                    __lowerCAmelCase             =       True
                    __lowerCAmelCase             =       u

     return visited[t]





def    __lowerCAmelCase   (    __snake_case       ,			__snake_case       ,			__snake_case							):
     __lowerCAmelCase             =       [-1] * (len(__snake_case							))
     __lowerCAmelCase             =       0
     while bfs(__snake_case       ,			__snake_case       ,			__snake_case       ,			__snake_case							):
          __lowerCAmelCase             =       float("Inf"							)
          __lowerCAmelCase             =       sink

          while s != source:
               # Find the minimum value in select path
               __lowerCAmelCase             =       min(__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]
     return max_flow


lowerCamelCase      :       Any    =						[
    [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],
]

lowerCamelCase   ,       lowerCamelCase      :       Tuple    =						0, 5



print(ford_fulkerson(graph, source, sink))








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


__lowerCAmelCase					   =       {
    'configuration_bloom': ['BLOOM_PRETRAINED_CONFIG_ARCHIVE_MAP', 'BloomConfig', 'BloomOnnxConfig'],
}
try:
							if not is_tokenizers_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__lowerCAmelCase					   =       ['BloomTokenizerFast']

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__lowerCAmelCase					   =       [
							    'BLOOM_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'BloomForCausalLM',
							    'BloomModel',
							    'BloomPreTrainedModel',
							    'BloomForSequenceClassification',
							    'BloomForTokenClassification',
							    'BloomForQuestionAnswering',
							]

if TYPE_CHECKING:
							from .configuration_bloom import BLOOM_PRETRAINED_CONFIG_ARCHIVE_MAP, BloomConfig, BloomOnnxConfig

							try:
														if not is_tokenizers_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_bloom_fast import BloomTokenizerFast

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_bloom import (
														    BLOOM_PRETRAINED_MODEL_ARCHIVE_LIST,
														    BloomForCausalLM,
														    BloomForQuestionAnswering,
														    BloomForSequenceClassification,
														    BloomForTokenClassification,
														    BloomModel,
														    BloomPreTrainedModel,
														)

else:
							import sys

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