


"""simple docstring"""






from typing import Any
def       A_   (   _lowerCAmelCase     :					list,     _lowerCAmelCase     :					list,     _lowerCAmelCase     :					dict,     _lowerCAmelCase     :					dict,     _lowerCAmelCase     :					dict,     ):






     """simple docstring"""

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

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

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

               _a    	=				arg_max

    # The final observation
     _a    	=				observations_space[len(_lowerCAmelCase       ) - 1]

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

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

     return result
def       A_   (   _lowerCAmelCase     :					Any,     _lowerCAmelCase     :					Any,     _lowerCAmelCase     :					Any,     _lowerCAmelCase     :					Any,     _lowerCAmelCase     :					Any,     ):






     """simple docstring"""

     _validate_not_empty(
         _lowerCAmelCase,     _lowerCAmelCase,     _lowerCAmelCase,     _lowerCAmelCase,     _lowerCAmelCase,     )
     _validate_lists(_lowerCAmelCase,     _lowerCAmelCase       )
     _validate_dicts(
         _lowerCAmelCase,     _lowerCAmelCase,     _lowerCAmelCase       )
def       A_   (   _lowerCAmelCase     :					Any,     _lowerCAmelCase     :					Any,     _lowerCAmelCase     :					Any,     _lowerCAmelCase     :					Any,     _lowerCAmelCase     :					Any,     ):






     """simple docstring"""

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






     """simple docstring"""

     _validate_list(_lowerCAmelCase,     '''observations_space'''       )
     _validate_list(_lowerCAmelCase,     '''states_space'''       )
def       A_   (   _lowerCAmelCase     :					Any,     _lowerCAmelCase     :					str       ):






     """simple docstring"""

     if not isinstance(_object,     _lowerCAmelCase       ):
          _a    	=				f'{var_name} must be a list'
          raise ValueError(_lowerCAmelCase       )
     else:
          for x in _object:
               if not isinstance(_lowerCAmelCase,     _lowerCAmelCase       ):
                    _a    	=				f'{var_name} must be a list of strings'
                    raise ValueError(_lowerCAmelCase       )
def       A_   (   _lowerCAmelCase     :					Any,     _lowerCAmelCase     :					Any,     _lowerCAmelCase     :					Any,     ):






     """simple docstring"""

     _validate_dict(_lowerCAmelCase,     '''initial_probabilities''',     _lowerCAmelCase       )
     _validate_nested_dict(_lowerCAmelCase,     '''transition_probabilities'''       )
     _validate_nested_dict(_lowerCAmelCase,     '''emission_probabilities'''       )
def       A_   (   _lowerCAmelCase     :					Any,     _lowerCAmelCase     :					str       ):






     """simple docstring"""

     _validate_dict(_object,     _lowerCAmelCase,     _lowerCAmelCase       )
     for x in _object.values():
          _validate_dict(_lowerCAmelCase,     _lowerCAmelCase,     _lowerCAmelCase,     _lowerCAmelCase       )
def       A_   (   _lowerCAmelCase     :					Any,     _lowerCAmelCase     :					str,     _lowerCAmelCase     :					type,     _lowerCAmelCase     :					bool = False       ):






     """simple docstring"""

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


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

   testmod()



"""simple docstring"""






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


__snake_case		=       {'''configuration_vit_mae''': ['''VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ViTMAEConfig''']}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   __snake_case		=       [
       '''VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST''',
       '''ViTMAEForPreTraining''',
       '''ViTMAELayer''',
       '''ViTMAEModel''',
       '''ViTMAEPreTrainedModel''',
   ]

try:
   if not is_tf_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   __snake_case		=       [
       '''TFViTMAEForPreTraining''',
       '''TFViTMAEModel''',
       '''TFViTMAEPreTrainedModel''',
   ]

if TYPE_CHECKING:
   from .configuration_vit_mae import VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMAEConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_vit_mae import (
          VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST,
          ViTMAEForPreTraining,
          ViTMAELayer,
          ViTMAEModel,
          ViTMAEPreTrainedModel,
      )

   try:
      if not is_tf_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_vit_mae import TFViTMAEForPreTraining, TFViTMAEModel, TFViTMAEPreTrainedModel


else:
   import sys

   __snake_case		=       _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)