'''simple docstring'''


from __future__ import annotations

import os
from collections.abc import Mapping

__snake_case						  =		tuple[int, int]





class       _a    :


  """simple docstring"""

  def __init__(		self      :       Dict   ,				lowercase_      :       set[int]   ,				lowercase_      :       Mapping[EdgeT, int]      ):







    '''simple docstring'''


    lowercase_     =       vertices
    lowercase_     =       {
        (min(lowercase_      ), max(lowercase_      )): weight for edge, weight in edges.items()
    }




  def 		lowerCamelCase__  (		self      :       List[Any]   ,				lowercase_      :       EdgeT   ,				lowercase_      :       int      ):







    '''simple docstring'''


    self.vertices.add(edge[0]      )
    self.vertices.add(edge[1]      )
    lowercase_     =       weight





  def 		lowerCamelCase__  (		self      :       Tuple      ):







    '''simple docstring'''


    lowercase_     =       Graph({min(self.vertices      )}   ,				{}      )
    lowercase_     =       42
    lowercase_     =       42
    lowercase_     =       42
    lowercase_     =       42

    while len(subgraph.vertices      ) < len(self.vertices      ):
      lowercase_     =       max(self.edges.values()      ) + 1
      for edge, weight in self.edges.items():
        if (edge[0] in subgraph.vertices) ^ (edge[1] in subgraph.vertices):
          if weight < min_weight:
            lowercase_     =       edge
            lowercase_     =       weight

      subgraph.add_edge(lowercase_   ,				lowercase_      )

    return subgraph






def   A_      (       SCREAMING_SNAKE_CASE_ = "p107_network.txt"						)			->int:
  lowercase_     =       os.path.abspath(os.path.dirname(SCREAMING_SNAKE_CASE_						)						)
  lowercase_     =       os.path.join(SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_						)
  lowercase_     =       {}
  lowercase_     =       42
  lowercase_     =       42
  lowercase_     =       42

  with open(SCREAMING_SNAKE_CASE_						) as f:
    lowercase_     =       f.read().strip().split("""\n"""						)

  lowercase_     =       [line.split(""","""						) for line in data]

  for edgea in range(1 ,	len(SCREAMING_SNAKE_CASE_						)						):
    for edgea in range(SCREAMING_SNAKE_CASE_						):
      if adjaceny_matrix[edgea][edgea] != "-":
        lowercase_     =       int(adjaceny_matrix[edgea][edgea]						)

  lowercase_     =       Graph(set(range(len(SCREAMING_SNAKE_CASE_						)						)						) ,	SCREAMING_SNAKE_CASE_						)

  lowercase_     =       graph.prims_algorithm()

  lowercase_     =       sum(graph.edges.values()						)
  lowercase_     =       sum(subgraph.edges.values()						)

  return initial_total - optimal_total


if __name__ == "__main__":
       print(f'''{solution() = }''')


'''simple docstring'''


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


__snake_case						  =		logging.get_logger(__name__)

__snake_case						  =		{
    """uw-madison/mra-base-512-4""": """https://huggingface.co/uw-madison/mra-base-512-4/resolve/main/config.json""",
}





class       _a    (		__a      ):


  """simple docstring"""

  A_    							=						'''mra'''




  def __init__(		self      :       Any   ,				lowercase_      :       List[str]=50_265   ,				lowercase_      :       Tuple=768   ,				lowercase_      :       Optional[Any]=12   ,				lowercase_      :       str=12   ,				lowercase_      :       Optional[int]=3_072   ,				lowercase_      :       Union[str, Any]="gelu"   ,				lowercase_      :       str=0.1   ,				lowercase_      :       Tuple=0.1   ,				lowercase_      :       str=512   ,				lowercase_      :       Optional[int]=1   ,				lowercase_      :       Tuple=0.0_2   ,				lowercase_      :       List[Any]=1e-5   ,				lowercase_      :       Optional[Any]="absolute"   ,				lowercase_      :       int=4   ,				lowercase_      :       int="full"   ,				lowercase_      :       Tuple=0   ,				lowercase_      :       str=0   ,				lowercase_      :       List[str]=1   ,				lowercase_      :       Tuple=0   ,				lowercase_      :       Optional[Any]=2   ,				**lowercase_      :       List[str]   ,				):







    '''simple docstring'''


    super().__init__(pad_token_id=lowercase_   ,				bos_token_id=lowercase_   ,				eos_token_id=lowercase_   ,				**lowercase_      )

    lowercase_     =       vocab_size
    lowercase_     =       max_position_embeddings
    lowercase_     =       hidden_size
    lowercase_     =       num_hidden_layers
    lowercase_     =       num_attention_heads
    lowercase_     =       intermediate_size
    lowercase_     =       hidden_act
    lowercase_     =       hidden_dropout_prob
    lowercase_     =       attention_probs_dropout_prob
    lowercase_     =       initializer_range
    lowercase_     =       type_vocab_size
    lowercase_     =       layer_norm_eps
    lowercase_     =       position_embedding_type
    lowercase_     =       block_per_row
    lowercase_     =       approx_mode
    lowercase_     =       initial_prior_first_n_blocks
    lowercase_     =       initial_prior_diagonal_n_blocks

