






'''simple docstring'''




import warnings

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


lowerCamelCase_												=					logging.get_logger(__name__)

lowerCamelCase_												=					{
    '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json''',
}

class    _UpperCAmelCase			(     snake_case_						):




   """simple docstring"""

   snake_case    				=						'''mvp'''
   snake_case    				=						['''past_key_values''']
   snake_case    				=						{'''num_attention_heads''': '''encoder_attention_heads''', '''hidden_size''': '''d_model'''}

   def __init__(		self :	Tuple      ,      __UpperCAmelCase :	Any=50267      ,      __UpperCAmelCase :	Tuple=1024      ,      __UpperCAmelCase :	str=12      ,      __UpperCAmelCase :	Tuple=4096      ,      __UpperCAmelCase :	List[Any]=16      ,      __UpperCAmelCase :	Dict=12      ,      __UpperCAmelCase :	List[Any]=4096      ,      __UpperCAmelCase :	int=16      ,      __UpperCAmelCase :	Tuple=0.0      ,      __UpperCAmelCase :	Optional[int]=0.0      ,      __UpperCAmelCase :	List[Any]="gelu"      ,      __UpperCAmelCase :	List[Any]=1024      ,      __UpperCAmelCase :	List[Any]=0.1      ,      __UpperCAmelCase :	Any=0.0      ,      __UpperCAmelCase :	List[str]=0.0      ,      __UpperCAmelCase :	Optional[int]=0.02      ,      __UpperCAmelCase :	int=0.0      ,      __UpperCAmelCase :	List[str]=False      ,      __UpperCAmelCase :	Union[str, Any]=True      ,      __UpperCAmelCase :	str=1      ,      __UpperCAmelCase :	List[str]=0      ,      __UpperCAmelCase :	Any=2      ,      __UpperCAmelCase :	str=True      ,      __UpperCAmelCase :	List[Any]=2      ,      __UpperCAmelCase :	Union[str, Any]=2      ,      __UpperCAmelCase :	Tuple=False      ,      __UpperCAmelCase :	Tuple=100      ,      __UpperCAmelCase :	Union[str, Any]=800      ,      **__UpperCAmelCase :	Dict      ,      ):





         '''simple docstring'''





         _A			     =	vocab_size
         _A			     =	max_position_embeddings
         _A			     =	d_model
         _A			     =	encoder_ffn_dim
         _A			     =	encoder_layers
         _A			     =	encoder_attention_heads
         _A			     =	decoder_ffn_dim
         _A			     =	decoder_layers
         _A			     =	decoder_attention_heads
         _A			     =	dropout
         _A			     =	attention_dropout
         _A			     =	activation_dropout
         _A			     =	activation_function
         _A			     =	init_std
         _A			     =	encoder_layerdrop
         _A			     =	decoder_layerdrop
         _A			     =	classifier_dropout
         _A			     =	use_cache
         _A			     =	encoder_layers
         _A			     =	scale_embedding  # scale factor will be sqrt(d_model) if True
         _A			     =	use_prompt
         _A			     =	prompt_length
         _A			     =	prompt_mid_dim

         super().__init__(
             pad_token_id=__UpperCAmelCase      ,      bos_token_id=__UpperCAmelCase      ,      eos_token_id=__UpperCAmelCase      ,      is_encoder_decoder=__UpperCAmelCase      ,      decoder_start_token_id=__UpperCAmelCase      ,      forced_eos_token_id=__UpperCAmelCase      ,      **__UpperCAmelCase      ,      )

         if self.forced_bos_token_id is None and kwargs.get("force_bos_token_to_be_generated"      ,      __UpperCAmelCase		):
               _A			     =	self.bos_token_id
               warnings.warn(
                   f'''Please make sure the config includes `forced_bos_token_id={self.bos_token_id}` in future versions. '''
                   "The config can simply be saved and uploaded again to be fixed."		)






"""simple docstring"""


from __future__ import annotations

from collections import Counter
from random import random


class 				a :


    def __init__(    self		:     Union[str, Any]    ):
      _UpperCAmelCase         =					{}


    def    lowerCAmelCase_     (    self		:     Optional[int]      , __lowerCAmelCase		:     str    ):
      _UpperCAmelCase         =					{}


    def    lowerCAmelCase_     (    self		:     str      , __lowerCAmelCase		:     str      , __lowerCAmelCase		:     str      , __lowerCAmelCase		:     float    ):
      if nodea not in self.connections:
        self.add_node(__lowerCAmelCase    )
      if nodea not in self.connections:
        self.add_node(__lowerCAmelCase    )
      _UpperCAmelCase         =					probability


    def    lowerCAmelCase_     (    self		:     Optional[Any]    ):
      return list(self.connections    )


    def    lowerCAmelCase_     (    self		:     List[Any]      , __lowerCAmelCase		:     str    ):
      _UpperCAmelCase         =					0
      _UpperCAmelCase         =					random()

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






def 			__UpperCAmelCase    (	lowercase      ,lowercase      ,lowercase						):







  """simple docstring"""
  _UpperCAmelCase         =					MarkovChainGraphUndirectedUnweighted()

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

  _UpperCAmelCase         =					Counter(graph.get_nodes()						)
  _UpperCAmelCase         =					start

  for _ in range(lowercase						):
    _UpperCAmelCase         =					graph.transition(lowercase						)
    visited[node] += 1

  return visited


if __name__ == "__main__":
    import doctest

    doctest.testmod()
