





from typing import Any





def      _UpperCamelCase  (a__ :List[str] ,      a__ :List[str] ,      a__ :Any ,      a__ :List[str] ,      a__ :Optional[Any] ,      ):






							"""simple docstring"""





							_validation(
							    __a ,      __a ,      __a ,      __a ,      __a ,      )
							# Creates data structures and fill initial step
							UpperCamelCase__					  =      {}
							UpperCamelCase__					  =      {}
							for state in states_space:
														UpperCamelCase__					  =      observations_space[0]
														UpperCamelCase__					  =      (
														    initial_probabilities[state] * emission_probabilities[state][observation]
														)
														UpperCamelCase__					  =      None

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

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

																					UpperCamelCase__					  =      arg_max

    # The final observation
							UpperCamelCase__					  =      observations_space[len(__a							) - 1]

							# argmax for given final observation
							UpperCamelCase__					  =      ''''''
							UpperCamelCase__					  =      -1
							for k_state in states_space:
														UpperCamelCase__					  =      probabilities[(k_state, final_observation)]
														if probability > max_probability:
																					UpperCamelCase__					  =      probability
																					UpperCamelCase__					  =      k_state
							UpperCamelCase__					  =      arg_max

							# Process pointers backwards
							UpperCamelCase__					  =      last_state
							UpperCamelCase__					  =      []
							for o in range(len(__a							) - 1 ,      -1 ,      -1							):
														result.append(__a							)
														UpperCamelCase__					  =      pointers[previous, observations_space[o]]
							result.reverse()

							return result





def      _UpperCamelCase  (a__ :str ,      a__ :Optional[Any] ,      a__ :str ,      a__ :Optional[int] ,      a__ :List[Any] ,      ):






							"""simple docstring"""





							_validate_not_empty(
							    __a ,      __a ,      __a ,      __a ,      __a ,      )
							_validate_lists(__a ,      __a							)
							_validate_dicts(
							    __a ,      __a ,      __a							)





def      _UpperCamelCase  (a__ :str ,      a__ :Any ,      a__ :str ,      a__ :str ,      a__ :Optional[Any] ,      ):






							"""simple docstring"""





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





def      _UpperCamelCase  (a__ :List[Any] ,      a__ :Dict							):






							"""simple docstring"""





							_validate_list(__a ,      """observations_space"""							)
							_validate_list(__a ,      """states_space"""							)





def      _UpperCamelCase  (a__ :str ,      a__ :Dict							):






							"""simple docstring"""





							if not isinstance(_object ,      __a							):
														UpperCamelCase__					  =      f"""{var_name} must be a list"""
														raise ValueError(__a							)
							else:
														for x in _object:
																					if not isinstance(__a ,      __a							):
																												UpperCamelCase__					  =      f"""{var_name} must be a list of strings"""
																												raise ValueError(__a							)





def      _UpperCamelCase  (a__ :List[Any] ,      a__ :List[str] ,      a__ :Optional[int] ,      ):






							"""simple docstring"""





							_validate_dict(__a ,      """initial_probabilities""" ,      __a							)
							_validate_nested_dict(__a ,      """transition_probabilities"""							)
							_validate_nested_dict(__a ,      """emission_probabilities"""							)





def      _UpperCamelCase  (a__ :List[Any] ,      a__ :Dict							):






							"""simple docstring"""





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





def      _UpperCamelCase  (a__ :Dict ,      a__ :Optional[Any] ,      a__ :str ,      a__ :int = False							):






							"""simple docstring"""





							if not isinstance(_object ,      __a							):
														UpperCamelCase__					  =      f"""{var_name} must be a dict"""
														raise ValueError(__a							)
							if not all(isinstance(__a ,      __a							) for x in _object							):
														UpperCamelCase__					  =      f"""{var_name} all keys must be strings"""
														raise ValueError(__a							)
							if not all(isinstance(__a ,      __a							) for x in _object.values()							):
														UpperCamelCase__					  =      '''nested dictionary ''' if nested else ''''''
														UpperCamelCase__					  =      f"""{var_name} {nested_text}all values must be {value_type.__name__}"""
														raise ValueError(__a							)


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

					testmod()








'''simple docstring'''
import logging
from dataclasses import dataclass, field
from typing import Optional

from seqaseq_trainer import arg_to_scheduler

from transformers import TrainingArguments


__snake_case				 =	logging.getLogger(__name__)
@dataclass
class   lowercase      (				A__   ):

		"""simple docstring"""

		_a       					=							field(
		    default=0.0      ,						metadata={'help': 'The label smoothing epsilon to apply (if not zero).'}   )
		_a       					=							field(default=A__      ,						metadata={'help': 'Whether to SortishSamler or not.'}   )
		_a       					=							field(
		    default=A__      ,						metadata={'help': 'Whether to use generate to calculate generative metrics (ROUGE, BLEU).'}   )
		_a       					=							field(default=A__      ,						metadata={'help': 'whether to use adafactor'}   )
		_a       					=							field(
		    default=A__      ,						metadata={'help': 'Encoder layer dropout probability. Goes into model.config.'}   )
		_a       					=							field(
		    default=A__      ,						metadata={'help': 'Decoder layer dropout probability. Goes into model.config.'}   )
		_a       					=							field(default=A__      ,						metadata={'help': 'Dropout probability. Goes into model.config.'}   )
		_a       					=							field(
		    default=A__      ,						metadata={'help': 'Attention dropout probability. Goes into model.config.'}   )
		_a       					=							field(
		    default='linear'      ,						metadata={'help': f'''Which lr scheduler to use. Selected in {sorted(arg_to_scheduler.keys()   )}'''}      ,						)