






'''simple docstring'''



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


SCREAMING_SNAKE_CASE							=						logging.get_logger(__name__)

SCREAMING_SNAKE_CASE							=						{
    'shi-labs/nat-mini-in1k-224': 'https://huggingface.co/shi-labs/nat-mini-in1k-224/resolve/main/config.json',
    # See all Nat models at https://huggingface.co/models?filter=nat
}
class UpperCAmelCase_       (     __A					,							__A					):




      """simple docstring"""




      UpperCamelCase_             =      '''nat'''

      UpperCamelCase_             =      {
          '''num_attention_heads''': '''num_heads''',
          '''num_hidden_layers''': '''num_layers''',
      }






      def __init__(			self      :		int  ,   UpperCAmelCase      :		Optional[Any]=4  ,   UpperCAmelCase      :		Any=3  ,   UpperCAmelCase      :		List[Any]=64  ,   UpperCAmelCase      :		Dict=[3, 4, 6, 5]  ,   UpperCAmelCase      :		List[str]=[2, 4, 8, 16]  ,   UpperCAmelCase      :		List[Any]=7  ,   UpperCAmelCase      :		Optional[Any]=3.0  ,   UpperCAmelCase      :		List[str]=True  ,   UpperCAmelCase      :		Optional[Any]=0.0  ,   UpperCAmelCase      :		Optional[int]=0.0  ,   UpperCAmelCase      :		Tuple=0.1  ,   UpperCAmelCase      :		Dict="gelu"  ,   UpperCAmelCase      :		Tuple=0.0_2  ,   UpperCAmelCase      :		List[Any]=1e-5  ,   UpperCAmelCase      :		Optional[int]=0.0  ,   UpperCAmelCase      :		Dict=None  ,   UpperCAmelCase      :		Optional[Any]=None  ,   **UpperCAmelCase      :		Tuple  ,   )	->	Dict:


       '''simple docstring'''

       super().__init__(**UpperCAmelCase		)

       lowercase       : str						=patch_size
       lowercase       : List[Any]						=num_channels
       lowercase       : Optional[Any]						=embed_dim
       lowercase       : Any						=depths
       lowercase       : Optional[int]						=len(UpperCAmelCase		)
       lowercase       : Optional[Any]						=num_heads
       lowercase       : List[Any]						=kernel_size
       lowercase       : Optional[Any]						=mlp_ratio
       lowercase       : Tuple						=qkv_bias
       lowercase       : List[Any]						=hidden_dropout_prob
       lowercase       : Dict						=attention_probs_dropout_prob
       lowercase       : Any						=drop_path_rate
       lowercase       : Tuple						=hidden_act
       lowercase       : List[str]						=layer_norm_eps
       lowercase       : Dict						=initializer_range
       # we set the hidden_size attribute in order to make Nat work with VisionEncoderDecoderModel
       # this indicates the channel dimension after the last stage of the model
       lowercase       : Optional[Any]						=int(embed_dim * 2 ** (len(UpperCAmelCase		) - 1)		)
       lowercase       : Optional[int]						=layer_scale_init_value
       lowercase       : int						=['''stem'''] + [f'stage{idx}' for idx in range(1  ,   len(UpperCAmelCase		) + 1		)]
       lowercase	,		lowercase       : Dict						=get_aligned_output_features_output_indices(
           out_features=UpperCAmelCase  ,   out_indices=UpperCAmelCase  ,   stage_names=self.stage_names		)






from __future__ import annotations

from typing import Any

class __UpperCamelCase     :






					'''simple docstring'''



					def __init__(				self				,      lowerCamelCase__						):
						UpperCAmelCase__:	Optional[int]									= num_of_nodes
						UpperCAmelCase__:	list[list[int]]									= []
						UpperCAmelCase__:	dict[int, int]									= {}





					def    _UpperCAmelCase    (				self				,      lowerCamelCase__				,      lowerCamelCase__				,      lowerCamelCase__						):
						self.m_edges.append([u_node, v_node, weight]						)





					def    _UpperCAmelCase    (				self				,      lowerCamelCase__						):

						if self.m_component[u_node] == u_node:
							return u_node
						return self.find_component(self.m_component[u_node]						)





					def    _UpperCAmelCase    (				self				,      lowerCamelCase__						):

						if self.m_component[u_node] != u_node:
							for k in self.m_component:
								UpperCAmelCase__:	Optional[Any]									= self.find_component(lowerCamelCase__						)





					def    _UpperCAmelCase    (				self				,      lowerCamelCase__				,      lowerCamelCase__				,      lowerCamelCase__						):

						if component_size[u_node] <= component_size[v_node]:
							UpperCAmelCase__:	Tuple									= v_node
							component_size[v_node] += component_size[u_node]
							self.set_component(lowerCamelCase__						)

						elif component_size[u_node] >= component_size[v_node]:
							UpperCAmelCase__:	Dict									= self.find_component(lowerCamelCase__						)
							component_size[u_node] += component_size[v_node]
							self.set_component(lowerCamelCase__						)





					def    _UpperCAmelCase    (				self						):
						UpperCAmelCase__:	Dict									= []
						UpperCAmelCase__:	int									= 0

						UpperCAmelCase__:	list[Any]									= [-1] * self.m_num_of_nodes

						# A list of components (initialized to all of the nodes)
						for node in range(self.m_num_of_nodes						):
							self.m_component.update({node: node}						)
							component_size.append(1						)

						UpperCAmelCase__:	Union[str, Any]									= self.m_num_of_nodes

						while num_of_components > 1:
							for edge in self.m_edges:
								UpperCAmelCase__							,						UpperCAmelCase__							,						UpperCAmelCase__:	str									= edge

								UpperCAmelCase__:	str									= self.m_component[u]
								UpperCAmelCase__:	Optional[Any]									= self.m_component[v]

								if u_component != v_component:

									for component in (u_component, v_component):
										if (
										    minimum_weight_edge[component] == -1
										    or minimum_weight_edge[component][2] > w
										):
											UpperCAmelCase__:	List[Any]									= [u, v, w]

							for edge in minimum_weight_edge:
								if isinstance(lowerCamelCase__				,      lowerCamelCase__						):
									UpperCAmelCase__							,						UpperCAmelCase__							,						UpperCAmelCase__:	str									= edge

									UpperCAmelCase__:	str									= self.m_component[u]
									UpperCAmelCase__:	int									= self.m_component[v]

									if u_component != v_component:
										mst_weight += w
										self.union(lowerCamelCase__				,      lowerCamelCase__				,      lowerCamelCase__						)
										print(F"Added edge [{u} - {v}]\nAdded weight: {w}\n"						)
										num_of_components -= 1

							UpperCAmelCase__:	Any									= [-1] * self.m_num_of_nodes
						print(F"The total weight of the minimal spanning tree is: {mst_weight}"						)



def 			_A	(      ):
	pass


if __name__ == "__main__":
					import doctest

					doctest.testmod()