

from typing import Any

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  list  ,      lowerCAmelCase:  list  ,      lowerCAmelCase:  dict  ,      lowerCAmelCase:  dict  ,      lowerCAmelCase:  dict  ,      )   ->       Tuple:
    _validation(
        a_  ,      a_  ,      a_  ,      a_  ,      a_  ,      )
    # Creates data structures and fill initial step
    _UpperCAmelCase       :		dict 		=    {}
    _UpperCAmelCase       :		dict 		=    {}
    for state in states_space:
        _UpperCAmelCase       :		Dict 		=    observations_space[0]
        _UpperCAmelCase       :		Optional[int] 		=    (
            initial_probabilities[state] * emission_probabilities[state][observation]
        )
        _UpperCAmelCase       :		str 		=    None

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

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

            _UpperCAmelCase       :		int 		=    arg_max

    # The final observation
    _UpperCAmelCase       :		str 		=    observations_space[len(a_ ) - 1]

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

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

    return result

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  Any  ,      lowerCAmelCase:  Any  ,      lowerCAmelCase:  Any  ,      lowerCAmelCase:  Any  ,      lowerCAmelCase:  Any  ,      )   ->       Any:
    _validate_not_empty(
        a_  ,      a_  ,      a_  ,      a_  ,      a_  ,      )
    _validate_lists(a_  ,      a_ )
    _validate_dicts(
        a_  ,      a_  ,      a_ )

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

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  Any  ,      lowerCAmelCase:  Any )   ->       Optional[Any]:
    _validate_list(a_  ,      "observations_space" )
    _validate_list(a_  ,      "states_space" )

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  Any  ,      lowerCAmelCase:  str )   ->       Union[str, Any]:
    if not isinstance(_object  ,      a_ ):
        _UpperCAmelCase       :		Dict 		=    F'{var_name} must be a list'
        raise ValueError(a_ )
    else:
        for x in _object:
            if not isinstance(a_  ,      a_ ):
                _UpperCAmelCase       :		List[str] 		=    F'{var_name} must be a list of strings'
                raise ValueError(a_ )

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  Any  ,      lowerCAmelCase:  Any  ,      lowerCAmelCase:  Any  ,      )   ->       Optional[Any]:
    _validate_dict(a_  ,      "initial_probabilities"  ,      a_ )
    _validate_nested_dict(a_  ,      "transition_probabilities" )
    _validate_nested_dict(a_  ,      "emission_probabilities" )

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  Any  ,      lowerCAmelCase:  str )   ->       Dict:
    _validate_dict(_object  ,      a_  ,      a_ )
    for x in _object.values():
        _validate_dict(a_  ,      a_  ,      a_  ,      a_ )

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  Any  ,      lowerCAmelCase:  str  ,      lowerCAmelCase:  type  ,      lowerCAmelCase:  bool = False )   ->       List[Any]:
    if not isinstance(_object  ,      a_ ):
        _UpperCAmelCase       :		str 		=    F'{var_name} must be a dict'
        raise ValueError(a_ )
    if not all(isinstance(a_  ,      a_ ) for x in _object ):
        _UpperCAmelCase       :		Tuple 		=    F'{var_name} all keys must be strings'
        raise ValueError(a_ )
    if not all(isinstance(a_  ,      a_ ) for x in _object.values() ):
        _UpperCAmelCase       :		Dict 		=    '''nested dictionary ''' if nested else ''''''
        _UpperCAmelCase       :		Optional[int] 		=    F'{var_name} {nested_text}all values must be {value_type.__name__}'
        raise ValueError(a_ )


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

     testmod()





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


SCREAMING_SNAKE_CASE_        =      {
    'configuration_nllb_moe': [
        'NLLB_MOE_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'NllbMoeConfig',
    ]
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					SCREAMING_SNAKE_CASE_        =      [
					    'NLLB_MOE_PRETRAINED_MODEL_ARCHIVE_LIST',
					    'NllbMoeForConditionalGeneration',
					    'NllbMoeModel',
					    'NllbMoePreTrainedModel',
					    'NllbMoeTop2Router',
					    'NllbMoeSparseMLP',
					]


if TYPE_CHECKING:
					from .configuration_nllb_moe import (
					    NLLB_MOE_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    NllbMoeConfig,
					)

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_nllb_moe import (
										    NLLB_MOE_PRETRAINED_MODEL_ARCHIVE_LIST,
										    NllbMoeForConditionalGeneration,
										    NllbMoeModel,
										    NllbMoePreTrainedModel,
										    NllbMoeSparseMLP,
										    NllbMoeTopaRouter,
										)


else:
					import sys

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


