from typing import Any





def    __lowercase     (						lowerCamelCase					:     list  ,  lowerCamelCase					:     list  ,  lowerCamelCase					:     dict  ,  lowerCamelCase					:     dict  ,  lowerCamelCase					:     dict  ,  ):
 _validation(
     lowerCamelCase  ,  lowerCamelCase  ,  lowerCamelCase  ,  lowerCamelCase  ,  lowerCamelCase  ,  )
 # Creates data structures and fill initial step
 UpperCamelCase_					:						dict =					{}
 UpperCamelCase_					:						dict =					{}
 for state in states_space:
  UpperCamelCase_					:						List[str] =					observations_space[0]
  UpperCamelCase_					:						Dict =					(
      initial_probabilities[state] * emission_probabilities[state][observation]
  )
  UpperCamelCase_					:						Optional[int] =					None

 # Fills the data structure with the probabilities of
 # different transitions and pointers to previous states
 for o in range(1  ,  len(lowerCamelCase	)	):
  UpperCamelCase_					:						str =					observations_space[o]
  UpperCamelCase_					:						Optional[Any] =					observations_space[o - 1]
  for state in states_space:
   # Calculates the argmax for probability function
   UpperCamelCase_					:						Optional[int] =					''
   UpperCamelCase_					:						int =					-1
   for k_state in states_space:
    UpperCamelCase_					:						Dict =					(
        probabilities[(k_state, prior_observation)]
        * transition_probabilities[k_state][state]
        * emission_probabilities[state][observation]
    )
    if probability > max_probability:
     UpperCamelCase_					:						Union[str, Any] =					probability
     UpperCamelCase_					:						Dict =					k_state

            # Update probabilities and pointers dicts
   UpperCamelCase_					:						Tuple =					(
       probabilities[(arg_max, prior_observation)]
       * transition_probabilities[arg_max][state]
       * emission_probabilities[state][observation]
   )

   UpperCamelCase_					:						str =					arg_max

    # The final observation
 UpperCamelCase_					:						Optional[Any] =					observations_space[len(lowerCamelCase	) - 1]

 # argmax for given final observation
 UpperCamelCase_					:						Tuple =					''
 UpperCamelCase_					:						List[Any] =					-1
 for k_state in states_space:
  UpperCamelCase_					:						List[str] =					probabilities[(k_state, final_observation)]
  if probability > max_probability:
   UpperCamelCase_					:						int =					probability
   UpperCamelCase_					:						Any =					k_state
 UpperCamelCase_					:						str =					arg_max

 # Process pointers backwards
 UpperCamelCase_					:						Optional[Any] =					last_state
 UpperCamelCase_					:						Optional[Any] =					[]
 for o in range(len(lowerCamelCase	) - 1  ,  -1  ,  -1	):
  result.append(lowerCamelCase	)
  UpperCamelCase_					:						str =					pointers[previous, observations_space[o]]
 result.reverse()

 return result





def    __lowercase     (						lowerCamelCase					:     Any  ,  lowerCamelCase					:     Any  ,  lowerCamelCase					:     Any  ,  lowerCamelCase					:     Any  ,  lowerCamelCase					:     Any  ,  ):
 _validate_not_empty(
     lowerCamelCase  ,  lowerCamelCase  ,  lowerCamelCase  ,  lowerCamelCase  ,  lowerCamelCase  ,  )
 _validate_lists(lowerCamelCase  ,  lowerCamelCase	)
 _validate_dicts(
     lowerCamelCase  ,  lowerCamelCase  ,  lowerCamelCase	)





def    __lowercase     (						lowerCamelCase					:     Any  ,  lowerCamelCase					:     Any  ,  lowerCamelCase					:     Any  ,  lowerCamelCase					:     Any  ,  lowerCamelCase					:     Any  ,  ):
 if not all(
     [
         observations_space,
         states_space,
         initial_probabilities,
         transition_probabilities,
         emission_probabilities,
     ]	):
  raise ValueError('There\'s an empty parameter'	)





def    __lowercase     (						lowerCamelCase					:     Any  ,  lowerCamelCase					:     Any	):
 _validate_list(lowerCamelCase  ,  'observations_space'	)
 _validate_list(lowerCamelCase  ,  'states_space'	)





def    __lowercase     (						lowerCamelCase					:     Any  ,  lowerCamelCase					:     str	):
 if not isinstance(_object  ,  lowerCamelCase	):
  UpperCamelCase_					:						List[str] =					F"{var_name} must be a list"
  raise ValueError(lowerCamelCase	)
 else:
  for x in _object:
   if not isinstance(lowerCamelCase  ,  lowerCamelCase	):
    UpperCamelCase_					:						Any =					F"{var_name} must be a list of strings"
    raise ValueError(lowerCamelCase	)





def    __lowercase     (						lowerCamelCase					:     Any  ,  lowerCamelCase					:     Any  ,  lowerCamelCase					:     Any  ,  ):
 _validate_dict(lowerCamelCase  ,  'initial_probabilities'  ,  lowerCamelCase	)
 _validate_nested_dict(lowerCamelCase  ,  'transition_probabilities'	)
 _validate_nested_dict(lowerCamelCase  ,  'emission_probabilities'	)





def    __lowercase     (						lowerCamelCase					:     Any  ,  lowerCamelCase					:     str	):
 _validate_dict(_object  ,  lowerCamelCase  ,  lowerCamelCase	)
 for x in _object.values():
  _validate_dict(lowerCamelCase  ,  lowerCamelCase  ,  lowerCamelCase  ,  lowerCamelCase	)





def    __lowercase     (						lowerCamelCase					:     Any  ,  lowerCamelCase					:     str  ,  lowerCamelCase					:     type  ,  lowerCamelCase					:     bool = False	):
 if not isinstance(_object  ,  lowerCamelCase	):
  UpperCamelCase_					:						Optional[Any] =					F"{var_name} must be a dict"
  raise ValueError(lowerCamelCase	)
 if not all(isinstance(lowerCamelCase  ,  lowerCamelCase	) for x in _object	):
  UpperCamelCase_					:						str =					F"{var_name} all keys must be strings"
  raise ValueError(lowerCamelCase	)
 if not all(isinstance(lowerCamelCase  ,  lowerCamelCase	) for x in _object.values()	):
  UpperCamelCase_					:						Union[str, Any] =					'nested dictionary ' if nested else ''
  UpperCamelCase_					:						Union[str, Any] =					F"{var_name} {nested_text}all values must be {value_type.__name__}"
  raise ValueError(lowerCamelCase	)


if __name__ == "__main__":
   from doctest import testmod

   testmod()




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


a_    					=       logging.get_logger(__name__)

a_    					=       {
    # See all MEGATRON_BERT models at https://huggingface.co/models?filter=bert
}





class 		_lowercase						(					snake_case_       ):
 lowercase				     =   'megatron-bert'

 def __init__( self	:							List[str]   ,      snake_case	:							Tuple=2_9_0_5_6   ,      snake_case	:							Dict=1_0_2_4   ,      snake_case	:							Dict=2_4   ,      snake_case	:							Union[str, Any]=1_6   ,      snake_case	:							Optional[int]=4_0_9_6   ,      snake_case	:							Optional[int]="gelu"   ,      snake_case	:							Any=0.1   ,      snake_case	:							Tuple=0.1   ,      snake_case	:							Optional[int]=5_1_2   ,      snake_case	:							List[Any]=2   ,      snake_case	:							Tuple=0.02   ,      snake_case	:							Optional[Any]=1e-12   ,      snake_case	:							str=0   ,      snake_case	:							Optional[int]="absolute"   ,      snake_case	:							Union[str, Any]=True   ,      **snake_case	:							Any   ,      )   ->						List[Any]:

  """simple docstring"""





  super().__init__(pad_token_id=snake_case   ,      **snake_case			)

  UpperCamelCase_					:						Optional[Any] =					vocab_size
  UpperCamelCase_					:						Any =					hidden_size
  UpperCamelCase_					:						Union[str, Any] =					num_hidden_layers
  UpperCamelCase_					:						List[Any] =					num_attention_heads
  UpperCamelCase_					:						str =					hidden_act
  UpperCamelCase_					:						List[str] =					intermediate_size
  UpperCamelCase_					:						List[Any] =					hidden_dropout_prob
  UpperCamelCase_					:						Any =					attention_probs_dropout_prob
  UpperCamelCase_					:						Tuple =					max_position_embeddings
  UpperCamelCase_					:						Dict =					type_vocab_size
  UpperCamelCase_					:						Optional[int] =					initializer_range
  UpperCamelCase_					:						Optional[Any] =					layer_norm_eps
  UpperCamelCase_					:						Dict =					position_embedding_type
  UpperCamelCase_					:						List[str] =					use_cache



