

'''simple docstring'''
from __future__ import annotations

from collections import Counter
from random import random


class        a__  :


   def __init__(			self  ):





      """simple docstring"""





      _lowercase      :				int      					=       {}


   def 						_lowerCamelCase       (			self      ,    _UpperCamelCase  ):





      """simple docstring"""





      _lowercase      :				str      					=       {}


   def 						_lowerCamelCase       (			self      ,    _UpperCamelCase      ,    _UpperCamelCase      ,    _UpperCamelCase  ):





      """simple docstring"""





      if nodea not in self.connections:
         self.add_node(_UpperCamelCase  )
      if nodea not in self.connections:
         self.add_node(_UpperCamelCase  )
      _lowercase      :				Union[str, Any]      					=       probability


   def 						_lowerCamelCase       (			self  ):





      """simple docstring"""





      return list(self.connections  )






   def 						_lowerCamelCase       (			self      ,    _UpperCamelCase  ):





      """simple docstring"""





      _lowercase      :				int      					=       0
      _lowercase      :				Dict      					=       random()

      for dest in self.connections[node]:
         current_probability += self.connections[node][dest]
         if current_probability > random_value:
            return dest
      return ""







def  _A		(     snake_case		,							snake_case		,							snake_case					)      ->     dict[str, int]:
   _lowercase      :				Optional[int]      					=       MarkovChainGraphUndirectedUnweighted()

   for nodea, nodea, probability in transitions:
      graph.add_transition_probability(snake_case		,							snake_case		,							snake_case					)

   _lowercase      :				Dict      					=       Counter(graph.get_nodes()					)
   _lowercase      :				List[str]      					=       start

   for _ in range(snake_case					):
      _lowercase      :				Optional[int]      					=       graph.transition(snake_case					)
      visited[node] += 1

   return visited


if __name__ == "__main__":
    import doctest

    doctest.testmod()









'''simple docstring'''
import logging

from transformers import PretrainedConfig


_snake_case         =  logging.getLogger(__name__)


_snake_case         =  {
    'bertabs-finetuned-cnndm': 'https://huggingface.co/remi/bertabs-finetuned-cnndm-extractive-abstractive-summarization/resolve/main/config.json',
}


class        a__  (							lowerCamelCase_  ):
   _SCREAMING_SNAKE_CASE   :					List[str]     	=							'bertabs'


   def __init__(			self      ,    _UpperCamelCase=30522      ,    _UpperCamelCase=512      ,    _UpperCamelCase=6      ,    _UpperCamelCase=512      ,    _UpperCamelCase=8      ,    _UpperCamelCase=512      ,    _UpperCamelCase=0.2      ,    _UpperCamelCase=6      ,    _UpperCamelCase=768      ,    _UpperCamelCase=8      ,    _UpperCamelCase=2048      ,    _UpperCamelCase=0.2      ,    **_UpperCamelCase      ,    ):





      """simple docstring"""





      super().__init__(**_UpperCamelCase  )

      _lowercase      :				List[str]      					=       vocab_size
      _lowercase      :				Tuple      					=       max_pos

      _lowercase      :				int      					=       enc_layers
      _lowercase      :				str      					=       enc_hidden_size
      _lowercase      :				Optional[Any]      					=       enc_heads
      _lowercase      :				Union[str, Any]      					=       enc_ff_size
      _lowercase      :				Tuple      					=       enc_dropout

      _lowercase      :				Dict      					=       dec_layers
      _lowercase      :				List[str]      					=       dec_hidden_size
      _lowercase      :				List[str]      					=       dec_heads
      _lowercase      :				str      					=       dec_ff_size
      _lowercase      :				str      					=       dec_dropout






