





from typing import Any






def 					lowerCamelCase_						(    _UpperCamelCase			,    _UpperCamelCase			,    _UpperCamelCase			,    _UpperCamelCase			,    _UpperCamelCase			,    )		->						list:






				"""simple docstring"""


				_validation(
				    _UpperCamelCase			,    _UpperCamelCase			,    _UpperCamelCase			,    _UpperCamelCase			,    _UpperCamelCase			,    )
				# Creates data structures and fill initial step
				snake_case_						:   dict           =  {}
				snake_case_						:   dict           =  {}
				for state in states_space:
								snake_case_						:   List[str]           =  observations_space[0]
								snake_case_						:   List[str]           =  (
								    initial_probabilities[state] * emission_probabilities[state][observation]
								)
								snake_case_						:   Any           =  None

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

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

												snake_case_						:   List[Any]           =  arg_max

    # The final observation
				snake_case_						:   Optional[int]           =  observations_space[len(_UpperCamelCase			) - 1]

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

				# Process pointers backwards
				snake_case_						:   Tuple           =  last_state
				snake_case_						:   List[Any]           =  []
				for o in range(len(_UpperCamelCase			) - 1			,    -1			,    -1			):
								result.append(_UpperCamelCase			)
								snake_case_						:   Any           =  pointers[previous, observations_space[o]]
				result.reverse()

				return result






def 					lowerCamelCase_						(    _UpperCamelCase			,    _UpperCamelCase			,    _UpperCamelCase			,    _UpperCamelCase			,    _UpperCamelCase			,    )		->						None:






				"""simple docstring"""


				_validate_not_empty(
				    _UpperCamelCase			,    _UpperCamelCase			,    _UpperCamelCase			,    _UpperCamelCase			,    _UpperCamelCase			,    )
				_validate_lists(_UpperCamelCase			,    _UpperCamelCase			)
				_validate_dicts(
				    _UpperCamelCase			,    _UpperCamelCase			,    _UpperCamelCase			)






def 					lowerCamelCase_						(    _UpperCamelCase			,    _UpperCamelCase			,    _UpperCamelCase			,    _UpperCamelCase			,    _UpperCamelCase			,    )		->						None:






				"""simple docstring"""


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






def 					lowerCamelCase_						(    _UpperCamelCase			,    _UpperCamelCase			)		->						None:






				"""simple docstring"""


				_validate_list(_UpperCamelCase			,    '''observations_space'''			)
				_validate_list(_UpperCamelCase			,    '''states_space'''			)






def 					lowerCamelCase_						(    _UpperCamelCase			,    _UpperCamelCase			)		->						None:






				"""simple docstring"""


				if not isinstance(_object			,    _UpperCamelCase			):
								snake_case_						:   str           =  f'''{var_name} must be a list'''
								raise ValueError(_UpperCamelCase			)
				else:
								for x in _object:
												if not isinstance(_UpperCamelCase			,    _UpperCamelCase			):
																snake_case_						:   Union[str, Any]           =  f'''{var_name} must be a list of strings'''
																raise ValueError(_UpperCamelCase			)






def 					lowerCamelCase_						(    _UpperCamelCase			,    _UpperCamelCase			,    _UpperCamelCase			,    )		->						None:






				"""simple docstring"""


				_validate_dict(_UpperCamelCase			,    '''initial_probabilities'''			,    _UpperCamelCase			)
				_validate_nested_dict(_UpperCamelCase			,    '''transition_probabilities'''			)
				_validate_nested_dict(_UpperCamelCase			,    '''emission_probabilities'''			)






def 					lowerCamelCase_						(    _UpperCamelCase			,    _UpperCamelCase			)		->						None:






				"""simple docstring"""


				_validate_dict(_object			,    _UpperCamelCase			,    _UpperCamelCase			)
				for x in _object.values():
								_validate_dict(_UpperCamelCase			,    _UpperCamelCase			,    _UpperCamelCase			,    _UpperCamelCase			)






def 					lowerCamelCase_						(    _UpperCamelCase			,    _UpperCamelCase			,    _UpperCamelCase			,    _UpperCamelCase = False			)		->						None:






				"""simple docstring"""


				if not isinstance(_object			,    _UpperCamelCase			):
								snake_case_						:   List[Any]           =  f'''{var_name} must be a dict'''
								raise ValueError(_UpperCamelCase			)
				if not all(isinstance(_UpperCamelCase			,    _UpperCamelCase			) for x in _object			):
								snake_case_						:   str           =  f'''{var_name} all keys must be strings'''
								raise ValueError(_UpperCamelCase			)
				if not all(isinstance(_UpperCamelCase			,    _UpperCamelCase			) for x in _object.values()			):
								snake_case_						:   List[str]           =  '''nested dictionary ''' if nested else ''''''
								snake_case_						:   Optional[Any]           =  f'''{var_name} {nested_text}all values must be {value_type.__name__}'''
								raise ValueError(_UpperCamelCase			)


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

	testmod()







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


lowerCAmelCase_    =    logging.get_logger(__name__)

lowerCAmelCase_    =    {
    '''microsoft/biogpt''': '''https://huggingface.co/microsoft/biogpt/resolve/main/config.json''',
    # See all BioGPT models at https://huggingface.co/models?filter=biogpt
}



class  __lowerCAmelCase	(      _a					):
			lowerCamelCase_					:					Any	      =				'''biogpt'''






			def __init__(self ,							__magic_name__=4_2384 ,							__magic_name__=1024 ,							__magic_name__=24 ,							__magic_name__=16 ,							__magic_name__=4096 ,							__magic_name__="gelu" ,							__magic_name__=0.1 ,							__magic_name__=0.1 ,							__magic_name__=1024 ,							__magic_name__=0.02 ,							__magic_name__=1e-12 ,							__magic_name__=True ,							__magic_name__=True ,							__magic_name__=0.0 ,							__magic_name__=0.0 ,							__magic_name__=1 ,							__magic_name__=0 ,							__magic_name__=2 ,							**__magic_name__ ,							)					->       List[str]:


							'''simple docstring'''



							snake_case_						:   List[str]           =  vocab_size
							snake_case_						:   Dict           =  max_position_embeddings
							snake_case_						:   Optional[int]           =  hidden_size
							snake_case_						:   List[Any]           =  num_hidden_layers
							snake_case_						:   List[str]           =  num_attention_heads
							snake_case_						:   int           =  intermediate_size
							snake_case_						:   List[Any]           =  hidden_act
							snake_case_						:   List[Any]           =  hidden_dropout_prob
							snake_case_						:   Optional[int]           =  attention_probs_dropout_prob
							snake_case_						:   Optional[int]           =  initializer_range
							snake_case_						:   Optional[int]           =  layer_norm_eps
							snake_case_						:   str           =  scale_embedding
							snake_case_						:   Optional[Any]           =  use_cache
							snake_case_						:   Optional[Any]           =  layerdrop
							snake_case_						:   Optional[Any]           =  activation_dropout
							super().__init__(pad_token_id=__magic_name__ ,							bos_token_id=__magic_name__ ,							eos_token_id=__magic_name__ ,							**__magic_name__   )
