

_a:    Union[str, 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],
]



def       __lowerCAmelCase      (						A       ,     A       ,     A       ,     A    ):
	# Return True if there is node that has not iterated.
	UpperCAmelCase_       				=			[False] * len(A    )
	UpperCAmelCase_       				=			[s]
	UpperCAmelCase_       				=			True

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

	return visited[t]



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

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

		max_flow += path_flow
		UpperCAmelCase_       				=			sink

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


from ...configuration_utils import PretrainedConfig
from ...utils import logging


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

_a:    Any 							=			{
    """sayakpaul/vit-msn-base""": """https://huggingface.co/sayakpaul/vit-msn-base/resolve/main/config.json""",
    # See all ViT MSN models at https://huggingface.co/models?filter=vit_msn
}

class 						__UpperCamelCase    (					lowercase						):
	SCREAMING_SNAKE_CASE__    				=     'vit_msn'




	def __init__(		self	:						Union[str, Any]		,	lowerCAmelCase	:						Optional[int]=768		,	lowerCAmelCase	:						Dict=12		,	lowerCAmelCase	:						str=12		,	lowerCAmelCase	:						List[str]=3_072		,	lowerCAmelCase	:						Tuple="gelu"		,	lowerCAmelCase	:						int=0.0		,	lowerCAmelCase	:						Optional[int]=0.0		,	lowerCAmelCase	:						Union[str, Any]=0.02		,	lowerCAmelCase	:						str=1e-06		,	lowerCAmelCase	:						Dict=224		,	lowerCAmelCase	:						str=16		,	lowerCAmelCase	:						List[Any]=3		,	lowerCAmelCase	:						Union[str, Any]=True		,	**lowerCAmelCase	:						List[str]		,	):


		'''simple docstring'''







		super().__init__(**lowerCAmelCase							)

		UpperCAmelCase_       				=			hidden_size
		UpperCAmelCase_       				=			num_hidden_layers
		UpperCAmelCase_       				=			num_attention_heads
		UpperCAmelCase_       				=			intermediate_size
		UpperCAmelCase_       				=			hidden_act
		UpperCAmelCase_       				=			hidden_dropout_prob
		UpperCAmelCase_       				=			attention_probs_dropout_prob
		UpperCAmelCase_       				=			initializer_range
		UpperCAmelCase_       				=			layer_norm_eps
		UpperCAmelCase_       				=			image_size
		UpperCAmelCase_       				=			patch_size
		UpperCAmelCase_       				=			num_channels
		UpperCAmelCase_       				=			qkv_bias