
from typing import Any


def 						UpperCAmelCase      (     a_		,       a_		,       a_		,       a_		,       a_		,       )		->     str:







    """simple docstring"""



    _validation(
        __a		,       __a		,       __a		,       __a		,       __a		,       )
    # 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(__a						)						):
        __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(__a						) - 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(__a						) - 1		,       -1		,       -1						):
        result.append(__a						)
        __A             =			pointers[previous, observations_space[o]]
    result.reverse()

    return result


def 						UpperCAmelCase      (     a_		,       a_		,       a_		,       a_		,       a_		,       )		->     Dict:







    """simple docstring"""



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


def 						UpperCAmelCase      (     a_		,       a_		,       a_		,       a_		,       a_		,       )		->     Dict:







    """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_		,       a_						)		->     List[str]:







    """simple docstring"""



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


def 						UpperCAmelCase      (     a_		,       a_						)		->     str:







    """simple docstring"""



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


def 						UpperCAmelCase      (     a_		,       a_		,       a_		,       )		->     int:







    """simple docstring"""



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


def 						UpperCAmelCase      (     a_		,       a_						)		->     Dict:







    """simple docstring"""



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


def 						UpperCAmelCase      (     a_		,       a_		,       a_		,       a_ = False						)		->     Optional[int]:







    """simple docstring"""



    if not isinstance(_object		,       __a						):
        __A             =			F'''{var_name} must be a dict'''
        raise ValueError(__a						)
    if not all(isinstance(__a		,       __a						) for x in _object						):
        __A             =			F'''{var_name} all keys must be strings'''
        raise ValueError(__a						)
    if not all(isinstance(__a		,       __a						) 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(__a						)


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

     testmod()


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

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





@dataclass(frozen=__SCREAMING_SNAKE_CASE  )
class 							UpperCAmelCase				(  __SCREAMING_SNAKE_CASE  ):




	'''simple docstring'''





	snake_case_    =					field(default="text-classification"      ,      metadata={"include_in_asdict_even_if_is_default": True}  )
	snake_case_    =					Features({"text": Value("string"  )}  )
	snake_case_    =					Features({"labels": ClassLabel}  )
	snake_case_    =					"text"
	snake_case_    =					"labels"






	def     UpperCamelCase_  (	self :			Optional[Any]							,A :			Dict			):
					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]							,A			):
									raise ValueError(f'''Column {self.label_column} is not a ClassLabel.'''			)
					__A             =			copy.deepcopy(self			)
					__A             =			self.label_schema.copy()
					__A             =			features[self.label_column]
					__A             =			label_schema
					return task_template







	@property
	def     UpperCamelCase_  (	self :			Dict			):
					return {
					    self.text_column: "text",
					    self.label_column: "labels",
					}
