from __future__ import annotations

from typing import Any




class 	__snake_case	:





      '''simple docstring'''






      def __init__(					self     :				Optional[Any]    ,  _UpperCamelCase     :				int)				->Union[str, Any]:


          """simple docstring"""


          _lowerCamelCase     :		str 						=						num_of_nodes
          _lowerCamelCase     :		list[list[int]] 						=						[]
          _lowerCamelCase     :		dict[int, int] 						=						{}



      def 	_SCREAMING_SNAKE_CASE    (					self     :				List[str]    ,  _UpperCamelCase     :				Union[str, Any]    ,  _UpperCamelCase     :				Dict    ,  _UpperCamelCase     :				int)				->Optional[int]:


          """simple docstring"""


          self.m_edges.append([u_node, v_node, weight])



      def 	_SCREAMING_SNAKE_CASE    (					self     :				int    ,  _UpperCamelCase     :				Dict)				->List[Any]:


          """simple docstring"""


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



      def 	_SCREAMING_SNAKE_CASE    (					self     :				List[str]    ,  _UpperCamelCase     :				Dict)				->Union[str, Any]:


          """simple docstring"""


          if self.m_component[u_node] != u_node:
              for k in self.m_component:
                  _lowerCamelCase     :		int 						=						self.find_component(A_)



      def 	_SCREAMING_SNAKE_CASE    (					self     :				Dict    ,  _UpperCamelCase     :				List[Any]    ,  _UpperCamelCase     :				Optional[Any]    ,  _UpperCamelCase     :				Tuple)				->List[str]:


          """simple docstring"""


          if component_size[u_node] <= component_size[v_node]:
              _lowerCamelCase     :		Any 						=						v_node
              component_size[v_node] += component_size[u_node]
              self.set_component(A_)

          elif component_size[u_node] >= component_size[v_node]:
              _lowerCamelCase     :		List[Any] 						=						self.find_component(A_)
              component_size[u_node] += component_size[v_node]
              self.set_component(A_)




      def 	_SCREAMING_SNAKE_CASE    (					self     :				Optional[Any])				->Union[str, Any]:


          """simple docstring"""


          _lowerCamelCase     :		Tuple 						=						[]
          _lowerCamelCase     :		Tuple 						=						0

          _lowerCamelCase     :		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)

          _lowerCamelCase     :		List[str] 						=						self.m_num_of_nodes

          while num_of_components > 1:
              for edge in self.m_edges:
                  _lowerCamelCase     :		List[str] 						=						edge

                  _lowerCamelCase     :		List[str] 						=						self.m_component[u]
                  _lowerCamelCase     :		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
                          ):
                              _lowerCamelCase     :		List[str] 						=						[u, v, w]

              for edge in minimum_weight_edge:
                  if isinstance(A_    ,  A_):
                      _lowerCamelCase     :		Optional[int] 						=						edge

                      _lowerCamelCase     :		Dict 						=						self.m_component[u]
                      _lowerCamelCase     :		Optional[Any] 						=						self.m_component[v]

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

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







def 						A__  (					):







    '''simple docstring'''
    pass


if __name__ == "__main__":
    import doctest

    doctest.testmod()





from collections import OrderedDict
from typing import Mapping

from packaging import version

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


lowerCAmelCase			:							Any     =logging.get_logger(__name__)

lowerCAmelCase			:							List[Any]     ={
    "microsoft/swin-tiny-patch4-window7-224": (
        "https://huggingface.co/microsoft/swin-tiny-patch4-window7-224/resolve/main/config.json"
    ),
    # See all Swin models at https://huggingface.co/models?filter=swin
}




class 	__snake_case	( __lowerCAmelCase ,  __lowerCAmelCase		):





      '''simple docstring'''






      _snake_case    		=       'swin'

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



      def __init__(					self     :				Optional[int]    ,  _UpperCamelCase     :				List[str]=224    ,  _UpperCamelCase     :				List[str]=4    ,  _UpperCamelCase     :				List[Any]=3    ,  _UpperCamelCase     :				Dict=96    ,  _UpperCamelCase     :				Any=[2, 2, 6, 2]    ,  _UpperCamelCase     :				Any=[3, 6, 12, 24]    ,  _UpperCamelCase     :				Tuple=7    ,  _UpperCamelCase     :				Tuple=4.0    ,  _UpperCamelCase     :				Dict=True    ,  _UpperCamelCase     :				Tuple=0.0    ,  _UpperCamelCase     :				Any=0.0    ,  _UpperCamelCase     :				Optional[int]=0.1    ,  _UpperCamelCase     :				Any="gelu"    ,  _UpperCamelCase     :				str=False    ,  _UpperCamelCase     :				str=0.0_2    ,  _UpperCamelCase     :				Dict=1E-5    ,  _UpperCamelCase     :				List[str]=32    ,  _UpperCamelCase     :				Optional[Any]=None    ,  _UpperCamelCase     :				List[Any]=None    ,  **_UpperCamelCase     :				List[Any]    ,  )				->Tuple:


          """simple docstring"""


          super().__init__(**_UpperCamelCase)

          _lowerCamelCase     :		List[str] 						=						image_size
          _lowerCamelCase     :		Tuple 						=						patch_size
          _lowerCamelCase     :		Dict 						=						num_channels
          _lowerCamelCase     :		Union[str, Any] 						=						embed_dim
          _lowerCamelCase     :		str 						=						depths
          _lowerCamelCase     :		str 						=						len(_UpperCamelCase)
          _lowerCamelCase     :		Optional[Any] 						=						num_heads
          _lowerCamelCase     :		Tuple 						=						window_size
          _lowerCamelCase     :		int 						=						mlp_ratio
          _lowerCamelCase     :		Optional[int] 						=						qkv_bias
          _lowerCamelCase     :		List[str] 						=						hidden_dropout_prob
          _lowerCamelCase     :		str 						=						attention_probs_dropout_prob
          _lowerCamelCase     :		Tuple 						=						drop_path_rate
          _lowerCamelCase     :		List[str] 						=						hidden_act
          _lowerCamelCase     :		Dict 						=						use_absolute_embeddings
          _lowerCamelCase     :		int 						=						layer_norm_eps
          _lowerCamelCase     :		str 						=						initializer_range
          _lowerCamelCase     :		Dict 						=						encoder_stride
          # we set the hidden_size attribute in order to make Swin work with VisionEncoderDecoderModel
          # this indicates the channel dimension after the last stage of the model
          _lowerCamelCase     :		int 						=						int(embed_dim * 2 ** (len(_UpperCamelCase) - 1))
          _lowerCamelCase     :		Dict 						=						["""stem"""] + [F"""stage{idx}""" for idx in range(1    ,  len(_UpperCamelCase) + 1)]
          _lowerCamelCase						,							_lowerCamelCase     :		List[str] 						=						get_aligned_output_features_output_indices(
              out_features=_UpperCamelCase    ,  out_indices=_UpperCamelCase    ,  stage_names=self.stage_names)





class 	__snake_case	( __lowerCAmelCase		):





      '''simple docstring'''






      _snake_case    		=       version.parse('1.11'		)



      @property
      def 	_SCREAMING_SNAKE_CASE    (					self     :				Tuple)				->Mapping[str, Mapping[int, str]]:


          """simple docstring"""


          return OrderedDict(
              [
                  ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
              ])




      @property
      def 	_SCREAMING_SNAKE_CASE    (					self     :				Union[str, Any])				->float:


          """simple docstring"""


          return 1E-4




