from typing import Any






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

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

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

                     lowerCAmelCase__					     = arg_max

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

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

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

       return result






def 				__lowerCamelCase		(						lowerCAmelCase__     ,  lowerCAmelCase__     ,  lowerCAmelCase__     ,  lowerCAmelCase__     ,  lowerCAmelCase__     ,  ):
       _validate_not_empty(
           lowerCAmelCase__     ,  lowerCAmelCase__     ,  lowerCAmelCase__     ,  lowerCAmelCase__     ,  lowerCAmelCase__     ,  )
       _validate_lists(lowerCAmelCase__     ,  lowerCAmelCase__     )
       _validate_dicts(
           lowerCAmelCase__     ,  lowerCAmelCase__     ,  lowerCAmelCase__     )






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






def 				__lowerCamelCase		(						lowerCAmelCase__     ,  lowerCAmelCase__     ):
       _validate_list(lowerCAmelCase__     ,  'observations_space'     )
       _validate_list(lowerCAmelCase__     ,  'states_space'     )






def 				__lowerCamelCase		(						lowerCAmelCase__     ,  lowerCAmelCase__     ):
       if not isinstance(_object     ,  lowerCAmelCase__     ):
              lowerCAmelCase__					     = F"""{var_name} must be a list"""
              raise ValueError(lowerCAmelCase__     )
       else:
              for x in _object:
                     if not isinstance(lowerCAmelCase__     ,  lowerCAmelCase__     ):
                            lowerCAmelCase__					     = F"""{var_name} must be a list of strings"""
                            raise ValueError(lowerCAmelCase__     )






def 				__lowerCamelCase		(						lowerCAmelCase__     ,  lowerCAmelCase__     ,  lowerCAmelCase__     ,  ):
       _validate_dict(lowerCAmelCase__     ,  'initial_probabilities'     ,  lowerCAmelCase__     )
       _validate_nested_dict(lowerCAmelCase__     ,  'transition_probabilities'     )
       _validate_nested_dict(lowerCAmelCase__     ,  'emission_probabilities'     )






def 				__lowerCamelCase		(						lowerCAmelCase__     ,  lowerCAmelCase__     ):
       _validate_dict(_object     ,  lowerCAmelCase__     ,  lowerCAmelCase__     )
       for x in _object.values():
              _validate_dict(lowerCAmelCase__     ,  lowerCAmelCase__     ,  lowerCAmelCase__     ,  lowerCAmelCase__     )






def 				__lowerCamelCase		(						lowerCAmelCase__     ,  lowerCAmelCase__     ,  lowerCAmelCase__     ,  lowerCAmelCase__ = False     ):
       if not isinstance(_object     ,  lowerCAmelCase__     ):
              lowerCAmelCase__					     = F"""{var_name} must be a dict"""
              raise ValueError(lowerCAmelCase__     )
       if not all(isinstance(lowerCAmelCase__     ,  lowerCAmelCase__     ) for x in _object     ):
              lowerCAmelCase__					     = F"""{var_name} all keys must be strings"""
              raise ValueError(lowerCAmelCase__     )
       if not all(isinstance(lowerCAmelCase__     ,  lowerCAmelCase__     ) for x in _object.values()     ):
              lowerCAmelCase__					     = 'nested dictionary ' if nested else ''
              lowerCAmelCase__					     = F"""{var_name} {nested_text}all values must be {value_type.__name__}"""
              raise ValueError(lowerCAmelCase__     )


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

    testmod()

from typing import Optional

import pyspark

from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader
class     a_			(						SCREAMING_SNAKE_CASE						):






 '''simple docstring'''






 def __init__(      self :  str      ,   lowercase__ :  pyspark.sql.DataFrame      ,   lowercase__ :  Optional[NamedSplit] = None      ,   lowercase__ :  Optional[Features] = None      ,   lowercase__ :  bool = True      ,   lowercase__ :  str = None      ,   lowercase__ :  bool = False      ,   lowercase__ :  str = None      ,   lowercase__ :  bool = True      ,   lowercase__ :  str = "arrow"      ,   **lowercase__ :  Any      ,   ):







        '''simple docstring'''



        super().__init__(
            split=lowercase__      ,   features=lowercase__      ,   cache_dir=lowercase__      ,   keep_in_memory=lowercase__      ,   streaming=lowercase__      ,   **lowercase__      ,   )
        lowerCAmelCase__					     = load_from_cache_file
        lowerCAmelCase__					     = file_format
        lowerCAmelCase__					     = Spark(
            df=lowercase__      ,   features=lowercase__      ,   cache_dir=lowercase__      ,   working_dir=lowercase__      ,   **lowercase__      ,   )




 def 		__snake_case						(      self :  Tuple):







        '''simple docstring'''



        if self.streaming:
               return self.builder.as_streaming_dataset(split=self.split)
        lowerCAmelCase__					     = None if self._load_from_cache_file else DownloadMode.FORCE_REDOWNLOAD
        self.builder.download_and_prepare(
            download_mode=lowercase__      ,   file_format=self._file_format      ,   )
        return self.builder.as_dataset(split=self.split)
