


'''simple docstring'''







from typing import Any






def 			lowercase				(_A   ,						_A   ,						_A   ,						_A   ,						_A   ,						):







       """simple docstring"""







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

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

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

                     _lowerCAmelCase    :							List[Any]   			=       arg_max

    # The final observation
       _lowerCAmelCase    :							Dict   			=       observations_space[len(_A					) - 1]

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

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

       return result






def 			lowercase				(_A   ,						_A   ,						_A   ,						_A   ,						_A   ,						):







       """simple docstring"""







       _validate_not_empty(
           _A   ,						_A   ,						_A   ,						_A   ,						_A   ,						)
       _validate_lists(_A   ,						_A					)
       _validate_dicts(
           _A   ,						_A   ,						_A					)






def 			lowercase				(_A   ,						_A   ,						_A   ,						_A   ,						_A   ,						):







       """simple docstring"""







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






def 			lowercase				(_A   ,						_A					):







       """simple docstring"""







       _validate_list(_A   ,						'observations_space'					)
       _validate_list(_A   ,						'states_space'					)






def 			lowercase				(_A   ,						_A					):







       """simple docstring"""







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






def 			lowercase				(_A   ,						_A   ,						_A   ,						):







       """simple docstring"""







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






def 			lowercase				(_A   ,						_A					):







       """simple docstring"""







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






def 			lowercase				(_A   ,						_A   ,						_A   ,						_A = False					):







       """simple docstring"""







       if not isinstance(_object   ,						_A					):
              _lowerCAmelCase    :							str   			=       f'{var_name} must be a dict'
              raise ValueError(_A					)
       if not all(isinstance(_A   ,						_A					) for x in _object					):
              _lowerCAmelCase    :							Union[str, Any]   			=       f'{var_name} all keys must be strings'
              raise ValueError(_A					)
       if not all(isinstance(_A   ,						_A					) for x in _object.values()					):
              _lowerCAmelCase    :							int   			=       'nested dictionary ' if nested else ''
              _lowerCAmelCase    :							Any   			=       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'''







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_speech_available,
    is_torch_available,
)


lowerCAmelCase    :     int					=						{
    """configuration_trocr""": ["""TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP""", """TrOCRConfig"""],
    """processing_trocr""": ["""TrOCRProcessor"""],
}


try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowerCAmelCase    :     Optional[Any]					=						[
           """TROCR_PRETRAINED_MODEL_ARCHIVE_LIST""",
           """TrOCRForCausalLM""",
           """TrOCRPreTrainedModel""",
       ]


if TYPE_CHECKING:
       from .configuration_trocr import TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP, TrOCRConfig
       from .processing_trocr import TrOCRProcessor

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_trocr import TROCR_PRETRAINED_MODEL_ARCHIVE_LIST, TrOCRForCausalLM, TrOCRPreTrainedModel

else:
       import sys

       lowerCAmelCase    :     Any					=						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

