






"""simple docstring"""



from typing import Any

def 			_snake_case    (					lowerCamelCase__     :   list    ,						lowerCamelCase__     :   list    ,						lowerCamelCase__     :   dict    ,						lowerCamelCase__     :   dict    ,						lowerCamelCase__     :   dict    ,						)    ->     list:






							"""simple docstring"""




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

							# Fills the data structure with the probabilities of
							# different transitions and pointers to previous states
							for o in range(1    ,						len(lowerCamelCase__  )  ):
														lowerCamelCase_	:							str									=observations_space[o]
														lowerCamelCase_	:							Union[str, Any]									=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[int]									=(
																												    probabilities[(k_state, prior_observation)]
																												    * transition_probabilities[k_state][state]
																												    * emission_probabilities[state][observation]
																												)
																												if probability > max_probability:
																																			lowerCamelCase_	:							int									=probability
																																			lowerCamelCase_	:							Optional[Any]									=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_	:							int									=arg_max

    # The final observation
							lowerCamelCase_	:							List[str]									=observations_space[len(lowerCamelCase__  ) - 1]

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

							# Process pointers backwards
							lowerCamelCase_	:							str									=last_state
							lowerCamelCase_	:							Dict									=[]
							for o in range(len(lowerCamelCase__  ) - 1    ,						-1    ,						-1  ):
														result.append(lowerCamelCase__  )
														lowerCamelCase_	:							Union[str, Any]									=pointers[previous, observations_space[o]]
							result.reverse()

							return result

def 			_snake_case    (					lowerCamelCase__     :   Any    ,						lowerCamelCase__     :   Any    ,						lowerCamelCase__     :   Any    ,						lowerCamelCase__     :   Any    ,						lowerCamelCase__     :   Any    ,						)    ->     None:






							"""simple docstring"""




							_validate_not_empty(
							    lowerCamelCase__    ,						lowerCamelCase__    ,						lowerCamelCase__    ,						lowerCamelCase__    ,						lowerCamelCase__    ,						)
							_validate_lists(lowerCamelCase__    ,						lowerCamelCase__  )
							_validate_dicts(
							    lowerCamelCase__    ,						lowerCamelCase__    ,						lowerCamelCase__  )

def 			_snake_case    (					lowerCamelCase__     :   Any    ,						lowerCamelCase__     :   Any    ,						lowerCamelCase__     :   Any    ,						lowerCamelCase__     :   Any    ,						lowerCamelCase__     :   Any    ,						)    ->     None:






							"""simple docstring"""




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

def 			_snake_case    (					lowerCamelCase__     :   Any    ,						lowerCamelCase__     :   Any  )    ->     None:






							"""simple docstring"""




							_validate_list(lowerCamelCase__    ,						"observations_space"  )
							_validate_list(lowerCamelCase__    ,						"states_space"  )

def 			_snake_case    (					lowerCamelCase__     :   Any    ,						lowerCamelCase__     :   str  )    ->     None:






							"""simple docstring"""




							if not isinstance(_object    ,						lowerCamelCase__  ):
														lowerCamelCase_	:							Any									=F"""{var_name} must be a list"""
														raise ValueError(lowerCamelCase__  )
							else:
														for x in _object:
																					if not isinstance(lowerCamelCase__    ,						lowerCamelCase__  ):
																												lowerCamelCase_	:							Union[str, Any]									=F"""{var_name} must be a list of strings"""
																												raise ValueError(lowerCamelCase__  )

def 			_snake_case    (					lowerCamelCase__     :   Any    ,						lowerCamelCase__     :   Any    ,						lowerCamelCase__     :   Any    ,						)    ->     None:






							"""simple docstring"""




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

def 			_snake_case    (					lowerCamelCase__     :   Any    ,						lowerCamelCase__     :   str  )    ->     None:






							"""simple docstring"""




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

def 			_snake_case    (					lowerCamelCase__     :   Any    ,						lowerCamelCase__     :   str    ,						lowerCamelCase__     :   type    ,						lowerCamelCase__     :   bool = False  )    ->     None:






							"""simple docstring"""




							if not isinstance(_object    ,						lowerCamelCase__  ):
														lowerCamelCase_	:							Tuple									=F"""{var_name} must be a dict"""
														raise ValueError(lowerCamelCase__  )
							if not all(isinstance(lowerCamelCase__    ,						lowerCamelCase__  ) for x in _object  ):
														lowerCamelCase_	:							Dict									=F"""{var_name} all keys must be strings"""
														raise ValueError(lowerCamelCase__  )
							if not all(isinstance(lowerCamelCase__    ,						lowerCamelCase__  ) for x in _object.values()  ):
														lowerCamelCase_	:							List[Any]									="nested dictionary " if nested else ""
														lowerCamelCase_	:							Tuple									=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 _LazyModule


A__	:    Tuple			 = {'tokenization_byt5': ['ByT5Tokenizer']}


if TYPE_CHECKING:
						from .tokenization_byta import ByTaTokenizer
else:
						import sys

						A__	:    Dict			 = _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



