
"""simple docstring"""





from collections import deque
def 							A_     (__a				):

					'''simple docstring'''





					A_				 =						len(__a				)
					A_				 =						deque()
					A_				 =						[False for _ in range(__a				)]
					A_				 =						[-1 for _ in range(__a				)]
					A_				 =						index_of[:]

					def strong_connect(__a				,   __a				,   __a				):
										A_				 =						index  # the number when this node is seen
										A_				 =						index  # lowest rank node reachable from here
										index += 1
										stack.append(__a				)
										A_				 =						True

										for w in g[v]:
															if index_of[w] == -1:
																				A_				 =						strong_connect(__a				,   __a				,   __a				)
																				A_				 =						(
																				    lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
																				)
															elif on_stack[w]:
																				A_				 =						(
																				    lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
																				)

										if lowlink_of[v] == index_of[v]:
															A_				 =						[]
															A_				 =						stack.pop()
															A_				 =						False
															component.append(__a				)
															while w != v:
																				A_				 =						stack.pop()
																				A_				 =						False
																				component.append(__a				)
															components.append(__a				)
										return index

					A_				 =						[]
					for v in range(__a				):
										if index_of[v] == -1:
															strong_connect(__a				,   0				,   __a				)

					return components
def 							A_     (__a				,   __a				):

					'''simple docstring'''





					A_				 =						[[] for _ in range(__a				)]
					for u, v in edges:
										g[u].append(__a				)
					return g


if __name__ == "__main__":
		# Test
		UpperCamelCase_					:						Optional[int]				= 7
		UpperCamelCase_					:						Union[str, Any]				= [0, 0, 1, 2, 3, 3, 4, 4, 6]
		UpperCamelCase_					:						Dict				= [1, 3, 2, 0, 1, 4, 5, 6, 5]
		UpperCamelCase_					:						List[str]				= [(u, v) for u, v in zip(source, target)]
		UpperCamelCase_					:						Optional[int]				= create_graph(n_vertices, edges)

		assert [[5], [6], [4], [3, 2, 1, 0]] == tarjan(g)






"""simple docstring"""





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


UpperCamelCase_					:						Optional[int]				= logging.get_logger(__name__)

UpperCamelCase_					:						Dict				= {
    '''microsoft/focalnet-tiny''': '''https://huggingface.co/microsoft/focalnet-tiny/resolve/main/config.json''',
}



class __lowerCAmelCase				(					_lowercase     ,				_lowercase      ):




			"""simple docstring"""







			snake_case	      =				"focalnet"




			def __init__(				self						:					Any       ,   _snake_case						:					Optional[int]=224       ,   _snake_case						:					List[str]=4       ,   _snake_case						:					Any=3       ,   _snake_case						:					List[Any]=96       ,   _snake_case						:					Union[str, Any]=False       ,   _snake_case						:					Optional[Any]=[192, 384, 768, 768]       ,   _snake_case						:					List[str]=[2, 2, 6, 2]       ,   _snake_case						:					Any=[2, 2, 2, 2]       ,   _snake_case						:					List[Any]=[3, 3, 3, 3]       ,   _snake_case						:					Optional[Any]="gelu"       ,   _snake_case						:					Dict=4.0       ,   _snake_case						:					List[Any]=0.0       ,   _snake_case						:					List[str]=0.1       ,   _snake_case						:					Optional[Any]=False       ,   _snake_case						:					Any=1e-4       ,   _snake_case						:					str=False       ,   _snake_case						:					Optional[int]=False       ,   _snake_case						:					Tuple=False       ,   _snake_case						:					Any=0.0_2       ,   _snake_case						:					List[Any]=1e-5       ,   _snake_case						:					Union[str, Any]=32       ,   _snake_case						:					Tuple=None       ,   _snake_case						:					Any=None       ,   **_snake_case						:					Tuple       ,   )      -> str:







								"""simple docstring"""
								super().__init__(**_snake_case	)

								A_				 =						image_size
								A_				 =						patch_size
								A_				 =						num_channels
								A_				 =						embed_dim
								A_				 =						use_conv_embed
								A_				 =						hidden_sizes
								A_				 =						depths
								A_				 =						focal_levels
								A_				 =						focal_windows
								A_				 =						hidden_act
								A_				 =						mlp_ratio
								A_				 =						hidden_dropout_prob
								A_				 =						drop_path_rate
								A_				 =						use_layerscale
								A_				 =						layerscale_value
								A_				 =						use_post_layernorm
								A_				 =						use_post_layernorm_in_modulation
								A_				 =						normalize_modulator
								A_				 =						initializer_range
								A_				 =						layer_norm_eps
								A_				 =						encoder_stride
								A_				 =						["stem"] + [F'stage{idx}' for idx in range(1       ,   len(self.depths	) + 1	)]
								A_ ,    A_				 =						get_aligned_output_features_output_indices(
								    out_features=_snake_case       ,   out_indices=_snake_case       ,   stage_names=self.stage_names	)




