


from __future__ import annotations

from typing import Any





class   __a			:
 def __init__(   self				, lowerCAmelCase__ )					->				None:




        '''simple docstring'''
        lowercase__:   Tuple  			=   num_of_nodes
        lowercase__:   list[list[int]]  			=   []
        lowercase__:   dict[int, int]  			=   {}
 def 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__				, lowerCAmelCase__				, lowerCAmelCase__ )					->				None:




        '''simple docstring'''
        self.m_edges.append([u_node, v_node, weight] )
 def 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__ )					->				int:




        '''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				, lowerCAmelCase__ )					->				None:




        '''simple docstring'''

        if self.m_component[u_node] != u_node:
               for k in self.m_component:
                      lowercase__:   str  			=   self.find_component(lowerCAmelCase__ )
 def 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__				, lowerCAmelCase__				, lowerCAmelCase__ )					->				None:




        '''simple docstring'''

        if component_size[u_node] <= component_size[v_node]:
               lowercase__:   Union[str, Any]  			=   v_node
               component_size[v_node] += component_size[u_node]
               self.set_component(lowerCAmelCase__ )

        elif component_size[u_node] >= component_size[v_node]:
               lowercase__:   List[str]  			=   self.find_component(lowerCAmelCase__ )
               component_size[u_node] += component_size[v_node]
               self.set_component(lowerCAmelCase__ )
 def 		SCREAMING_SNAKE_CASE__   (   self )					->				None:




        '''simple docstring'''
        lowercase__:   Tuple  			=   []
        lowercase__:   int  			=   0

        lowercase__:   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 )

        lowercase__:   int  			=   self.m_num_of_nodes

        while num_of_components > 1:
               for edge in self.m_edges:
                      lowercase__			,						lowercase__			,						lowercase__:   Optional[int]  			=   edge

                      lowercase__:   Optional[int]  			=   self.m_component[u]
                      lowercase__:   Dict  			=   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
                                    ):
                                           lowercase__:   Optional[int]  			=   [u, v, w]

               for edge in minimum_weight_edge:
                      if isinstance(lowerCAmelCase__				, lowerCAmelCase__ ):
                             lowercase__			,						lowercase__			,						lowercase__:   int  			=   edge

                             lowercase__:   str  			=   self.m_component[u]
                             lowercase__:   Optional[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

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





def    snake_case_     (  )  ->				None:
       pass


if __name__ == "__main__":
 import doctest

 doctest.testmod()






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


__lowerCAmelCase		       =							{
    '''configuration_encodec''': [
        '''ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''EncodecConfig''',
    ],
    '''feature_extraction_encodec''': ['''EncodecFeatureExtractor'''],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __lowerCAmelCase		       =							[
     '''ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST''',
     '''EncodecModel''',
     '''EncodecPreTrainedModel''',
 ]

if TYPE_CHECKING:
 from .configuration_encodec import (
     ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP,
     EncodecConfig,
 )
 from .feature_extraction_encodec import EncodecFeatureExtractor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_encodec import (
      ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST,
      EncodecModel,
      EncodecPreTrainedModel,
  )

else:
 import sys

 __lowerCAmelCase		       =							_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


