




"""simple docstring"""


from typing import Any



def 	lowercase_				(			__UpperCAmelCase    ,		__UpperCAmelCase    ,		__UpperCAmelCase    ,		__UpperCAmelCase    ,		__UpperCAmelCase    ,		)						->    Optional[Any]:
      _validation(
          snake_case_    ,		snake_case_    ,		snake_case_    ,		snake_case_    ,		snake_case_    ,		)
      # Creates data structures and fill initial step
      lowerCAmelCase__      :			dict   =	{}
      lowerCAmelCase__      :			dict   =	{}
      for state in states_space:
            lowerCAmelCase__      :			int   =	observations_space[0]
            lowerCAmelCase__      :			Optional[Any]   =	(
                initial_probabilities[state] * emission_probabilities[state][observation]
            )
            lowerCAmelCase__      :			List[str]   =	None

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

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

                  lowerCAmelCase__      :			List[Any]   =	arg_max

    # The final observation
      lowerCAmelCase__      :			Union[str, Any]   =	observations_space[len(snake_case_				) - 1]

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

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

      return result



def 	lowercase_				(			__UpperCAmelCase    ,		__UpperCAmelCase    ,		__UpperCAmelCase    ,		__UpperCAmelCase    ,		__UpperCAmelCase    ,		)						->    Tuple:
      _validate_not_empty(
          snake_case_    ,		snake_case_    ,		snake_case_    ,		snake_case_    ,		snake_case_    ,		)
      _validate_lists(snake_case_    ,		snake_case_				)
      _validate_dicts(
          snake_case_    ,		snake_case_    ,		snake_case_				)



def 	lowercase_				(			__UpperCAmelCase    ,		__UpperCAmelCase    ,		__UpperCAmelCase    ,		__UpperCAmelCase    ,		__UpperCAmelCase    ,		)						->    int:
      if not all(
          [
              observations_space,
              states_space,
              initial_probabilities,
              transition_probabilities,
              emission_probabilities,
          ]				):
            raise ValueError("""There's an empty parameter"""				)



def 	lowercase_				(			__UpperCAmelCase    ,		__UpperCAmelCase				)						->    Tuple:
      _validate_list(snake_case_    ,		"""observations_space"""				)
      _validate_list(snake_case_    ,		"""states_space"""				)



def 	lowercase_				(			__UpperCAmelCase    ,		__UpperCAmelCase				)						->    List[Any]:
      if not isinstance(_object    ,		snake_case_				):
            lowerCAmelCase__      :			Any   =	f"""{var_name} must be a list"""
            raise ValueError(snake_case_				)
      else:
            for x in _object:
                  if not isinstance(snake_case_    ,		snake_case_				):
                        lowerCAmelCase__      :			List[Any]   =	f"""{var_name} must be a list of strings"""
                        raise ValueError(snake_case_				)



def 	lowercase_				(			__UpperCAmelCase    ,		__UpperCAmelCase    ,		__UpperCAmelCase    ,		)						->    Optional[Any]:
      _validate_dict(snake_case_    ,		"""initial_probabilities"""    ,		snake_case_				)
      _validate_nested_dict(snake_case_    ,		"""transition_probabilities"""				)
      _validate_nested_dict(snake_case_    ,		"""emission_probabilities"""				)



def 	lowercase_				(			__UpperCAmelCase    ,		__UpperCAmelCase				)						->    Optional[Any]:
      _validate_dict(_object    ,		snake_case_    ,		snake_case_				)
      for x in _object.values():
            _validate_dict(snake_case_    ,		snake_case_    ,		snake_case_    ,		snake_case_				)



def 	lowercase_				(			__UpperCAmelCase    ,		__UpperCAmelCase    ,		__UpperCAmelCase    ,		__UpperCAmelCase = False				)						->    Tuple:
      if not isinstance(_object    ,		snake_case_				):
            lowerCAmelCase__      :			str   =	f"""{var_name} must be a dict"""
            raise ValueError(snake_case_				)
      if not all(isinstance(snake_case_    ,		snake_case_				) for x in _object				):
            lowerCAmelCase__      :			Dict   =	f"""{var_name} all keys must be strings"""
            raise ValueError(snake_case_				)
      if not all(isinstance(snake_case_    ,		snake_case_				) for x in _object.values()				):
            lowerCAmelCase__      :			str   =	"""nested dictionary """ if nested else """"""
            lowerCAmelCase__      :			Dict   =	f"""{var_name} {nested_text}all values must be {value_type.__name__}"""
            raise ValueError(snake_case_				)


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

 testmod()











"""simple docstring"""


import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Audio, ClassLabel, Features
from .base import TaskTemplate


@dataclass(frozen=a_						)
class _lowerCamelCase    (					a_						):
   _lowerCamelCase    :str     				=     field(default="audio-classification"       ,	metadata={"include_in_asdict_even_if_is_default": True}						)
   _lowerCamelCase    :ClassVar[Features]     				=     Features({"audio": Audio()}						)
   _lowerCamelCase    :ClassVar[Features]     				=     Features({"labels": ClassLabel}						)
   _lowerCamelCase    :str     				=     "audio"
   _lowerCamelCase    :str     				=     "labels"






   def 	_lowerCAmelCase   (		self       :		str   ,     UpperCamelCase       :		Optional[int]   )			->						Union[str, Any]:

         """simple docstring"""
         if self.label_column not in features:
               raise ValueError(f"""Column {self.label_column} is not present in features."""   )
         if not isinstance(features[self.label_column]   ,     UpperCamelCase   ):
               raise ValueError(f"""Column {self.label_column} is not a ClassLabel."""   )
         lowerCAmelCase__      :			str   =	copy.deepcopy(self   )
         lowerCAmelCase__      :			Optional[int]   =	self.label_schema.copy()
         lowerCAmelCase__      :			List[Any]   =	features[self.label_column]
         lowerCAmelCase__      :			Optional[int]   =	label_schema
         return task_template






   @property
   def 	_lowerCAmelCase   (		self       :		List[Any]   )			->						Dict[str, str]:

         """simple docstring"""
         return {
             self.audio_column: "audio",
             self.label_column: "labels",
         }





