



_lowerCAmelCase	:   str    =   [
    [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     UpperCAmelCase_		(					snake_case__    ,			snake_case__    ,			snake_case__    ,			snake_case__					)	->     Any:



				"""simple docstring"""





				lowerCAmelCase__		  =  [False] * len(_UpperCAmelCase					)
				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(_UpperCAmelCase					)
																lowerCAmelCase__		  =  True
																lowerCAmelCase__		  =  u

				return visited[t]







def     UpperCAmelCase_		(					snake_case__    ,			snake_case__    ,			snake_case__					)	->     Optional[int]:



				"""simple docstring"""





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

								while s != source:
												# Find the minimum value in select path
												lowerCAmelCase__		  =  min(_UpperCAmelCase    ,			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(_UpperCAmelCase					)					):
								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))


import warnings

from ...utils import logging
from .image_processing_flava import FlavaImageProcessor


UpperCamelCase_						:     List[str]	       =							logging.get_logger(__name__)




class   __lowercase						(						__snake_case       ):






	def __init__(self				: int      ,	*snake_case				: Optional[Any]      ,	**snake_case				: Optional[Any]    ) ->			None:
							warnings.warn(
							    "The class FlavaFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
							    " use FlavaImageProcessor instead."      ,	snake_case      ,	)
							super().__init__(*snake_case      ,	**snake_case    )




