

import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging


a_     :    Any     		=   logging.get_logger(__name__)




class   UpperCamelCase			(  SCREAMING_SNAKE_CASE ):
    __UpperCamelCase    ="encoder-decoder"
    __UpperCamelCase    =True

    def __init__(      self			:   Optional[int]				,     **snake_case__			:   List[Any]     ):

     """simple docstring"""






     super().__init__(**snake_case__     )
     assert (
         "encoder" in kwargs and "decoder" in kwargs
     ), "Config has to be initialized with encoder and decoder config"
     SCREAMING_SNAKE_CASE		    =      kwargs.pop('encoder'     )
     SCREAMING_SNAKE_CASE		    =      encoder_config.pop('model_type'     )
     SCREAMING_SNAKE_CASE		    =      kwargs.pop('decoder'     )
     SCREAMING_SNAKE_CASE		    =      decoder_config.pop('model_type'     )

     from ..auto.configuration_auto import AutoConfig

     SCREAMING_SNAKE_CASE		    =      AutoConfig.for_model(snake_case__				,     **snake_case__     )
     SCREAMING_SNAKE_CASE		    =      AutoConfig.for_model(snake_case__				,     **snake_case__     )
     SCREAMING_SNAKE_CASE		    =      True

    @classmethod
    def UpperCamelCase      (      cls			:   Dict				,     snake_case__			:   PretrainedConfig				,     snake_case__			:   PretrainedConfig				,     **snake_case__			:   List[Any]     ):

     """simple docstring"""






     logger.info('Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'     )
     SCREAMING_SNAKE_CASE		    =      True
     SCREAMING_SNAKE_CASE		    =      True

     return cls(encoder=encoder_config.to_dict()				,     decoder=decoder_config.to_dict()				,     **snake_case__     )




    def UpperCamelCase      (      self			:   Any     ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE		    =      copy.deepcopy(self.__dict__     )
     SCREAMING_SNAKE_CASE		    =      self.encoder.to_dict()
     SCREAMING_SNAKE_CASE		    =      self.decoder.to_dict()
     SCREAMING_SNAKE_CASE		    =      self.__class__.model_type
     return output




from graphs.minimum_spanning_tree_kruskal import kruskal


def 							__lowerCAmelCase     (							)		->				Optional[Any]:
 '''simple docstring'''


 SCREAMING_SNAKE_CASE		    =      9
 SCREAMING_SNAKE_CASE		    =      [
     [0, 1, 4],
     [0, 7, 8],
     [1, 2, 8],
     [7, 8, 7],
     [7, 6, 1],
     [2, 8, 2],
     [8, 6, 6],
     [2, 3, 7],
     [2, 5, 4],
     [6, 5, 2],
     [3, 5, 14],
     [3, 4, 9],
     [5, 4, 10],
     [1, 7, 11],
 ]

 SCREAMING_SNAKE_CASE		    =      kruskal(_UpperCamelCase		,				_UpperCamelCase						)

 SCREAMING_SNAKE_CASE		    =      [
     [7, 6, 1],
     [2, 8, 2],
     [6, 5, 2],
     [0, 1, 4],
     [2, 5, 4],
     [2, 3, 7],
     [0, 7, 8],
     [3, 4, 9],
 ]

 assert sorted(_UpperCamelCase						) == sorted(_UpperCamelCase						)

