

"""simple docstring"""






from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


snake_case_   :   List[Any]        =       logging.get_logger(__name__)

snake_case_   :   List[Any]        =       {
    """microsoft/focalnet-tiny""": """https://huggingface.co/microsoft/focalnet-tiny/resolve/main/config.json""",
}







class       snake_case__  ( lowerCAmelCase_					,  lowerCAmelCase_     ):
			SCREAMING_SNAKE_CASE__     				=						'''focalnet'''







			def __init__(			self			: Any			,  lowercase			: List[str]=2_24			,  lowercase			: Optional[Any]=4			,  lowercase			: Tuple=3			,  lowercase			: Tuple=96			,  lowercase			: List[Any]=False			,  lowercase			: List[str]=[1_92, 3_84, 7_68, 7_68]			,  lowercase			: str=[2, 2, 6, 2]			,  lowercase			: Union[str, Any]=[2, 2, 2, 2]			,  lowercase			: int=[3, 3, 3, 3]			,  lowercase			: List[Any]="gelu"			,  lowercase			: Union[str, Any]=4.0			,  lowercase			: Dict=0.0			,  lowercase			: Union[str, Any]=0.1			,  lowercase			: Any=False			,  lowercase			: List[Any]=1E-4			,  lowercase			: Dict=False			,  lowercase			: Optional[int]=False			,  lowercase			: Tuple=False			,  lowercase			: List[str]=0.0_2			,  lowercase			: Dict=1E-5			,  lowercase			: List[Any]=32			,  lowercase			: List[Any]=None			,  lowercase			: Optional[Any]=None			,  **lowercase			: Union[str, Any]			,  ):





								'''simple docstring'''



								super().__init__(**lowercase  )

								UpperCAmelCase			:   str      =				image_size
								UpperCAmelCase			:   Any      =				patch_size
								UpperCAmelCase			:   List[Any]      =				num_channels
								UpperCAmelCase			:   Optional[Any]      =				embed_dim
								UpperCAmelCase			:   Tuple      =				use_conv_embed
								UpperCAmelCase			:   Any      =				hidden_sizes
								UpperCAmelCase			:   List[Any]      =				depths
								UpperCAmelCase			:   Optional[int]      =				focal_levels
								UpperCAmelCase			:   Dict      =				focal_windows
								UpperCAmelCase			:   Optional[Any]      =				hidden_act
								UpperCAmelCase			:   List[Any]      =				mlp_ratio
								UpperCAmelCase			:   List[str]      =				hidden_dropout_prob
								UpperCAmelCase			:   Tuple      =				drop_path_rate
								UpperCAmelCase			:   Any      =				use_layerscale
								UpperCAmelCase			:   Dict      =				layerscale_value
								UpperCAmelCase			:   int      =				use_post_layernorm
								UpperCAmelCase			:   int      =				use_post_layernorm_in_modulation
								UpperCAmelCase			:   List[Any]      =				normalize_modulator
								UpperCAmelCase			:   Union[str, Any]      =				initializer_range
								UpperCAmelCase			:   Dict      =				layer_norm_eps
								UpperCAmelCase			:   str      =				encoder_stride
								UpperCAmelCase			:   Optional[Any]      =				["stem"] + [f"""stage{idx}""" for idx in range(1			,  len(self.depths  ) + 1  )]
								UpperCAmelCase      ,							UpperCAmelCase			:   Any      =				get_aligned_output_features_output_indices(
								    out_features=lowercase			,  out_indices=lowercase			,  stage_names=self.stage_names  )





"""simple docstring"""






def   lowercase_	(    _lowercase       :		List[str]							,      _lowercase       :		Tuple							,      _lowercase       :		int							,      _lowercase       :		Optional[Any]	):




					'''simple docstring'''






					UpperCAmelCase			:   int      =				[False] * len(_lowercase	)
					UpperCAmelCase			:   List[str]      =				[]
					queue.append(_lowercase	)
					UpperCAmelCase			:   List[Any]      =				True

					while queue:
										UpperCAmelCase			:   Any      =				queue.pop(0	)
										for ind in range(len(graph[u]	)	):
															if visited[ind] is False and graph[u][ind] > 0:
																				queue.append(_lowercase	)
																				UpperCAmelCase			:   Optional[int]      =				True
																				UpperCAmelCase			:   int      =				u

					return visited[t]



def   lowercase_	(    _lowercase       :		Tuple							,      _lowercase       :		Dict							,      _lowercase       :		Optional[int]	):




					'''simple docstring'''






					UpperCAmelCase			:   List[Any]      =				[-1] * (len(_lowercase	))
					UpperCAmelCase			:   List[Any]      =				0
					while bfs(_lowercase							,      _lowercase							,      _lowercase							,      _lowercase	):
										UpperCAmelCase			:   List[str]      =				float("Inf"	)
										UpperCAmelCase			:   str      =				sink

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

										max_flow += path_flow
										UpperCAmelCase			:   List[str]      =				sink

										while v != source:
															UpperCAmelCase			:   Dict      =				parent[v]
															graph[u][v] -= path_flow
															graph[v][u] += path_flow
															UpperCAmelCase			:   Dict      =				parent[v]
					return max_flow


snake_case_   :   Optional[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],
]

snake_case_     ,      snake_case_   :   str        =       0, 5




print(ford_fulkerson(graph, source, sink))


