

from typing import Any





def       snake_case_ (__A	:		Union[str, Any]   ,  __A	:		Tuple   ,  __A	:		Optional[int]   ,  __A	:		List[str]   ,  __A	:		Tuple   ,  )     ->      List[Any]:
   _validation(
       __A   ,  __A   ,  __A   ,  __A   ,  __A   ,  )
   # Creates data structures and fill initial step
   __lowerCAmelCase    :     dict          =		{}
   __lowerCAmelCase    :     dict          =		{}
   for state in states_space:
      __lowerCAmelCase    :     Optional[int]          =		observations_space[0]
      __lowerCAmelCase    :     List[Any]          =		(
          initial_probabilities[state] * emission_probabilities[state][observation]
      )
      __lowerCAmelCase    :     Any          =		None

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

    # The final observation
   __lowerCAmelCase    :     Optional[Any]          =		observations_space[len(__A	) - 1]

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

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

   return result





def       snake_case_ (__A	:		List[str]   ,  __A	:		Dict   ,  __A	:		str   ,  __A	:		Dict   ,  __A	:		Optional[int]   ,  )     ->      Tuple:
   _validate_not_empty(
       __A   ,  __A   ,  __A   ,  __A   ,  __A   ,  )
   _validate_lists(__A   ,  __A	)
   _validate_dicts(
       __A   ,  __A   ,  __A	)





def       snake_case_ (__A	:		List[Any]   ,  __A	:		int   ,  __A	:		Dict   ,  __A	:		str   ,  __A	:		str   ,  )     ->      str:
   if not all(
       [
           observations_space,
           states_space,
           initial_probabilities,
           transition_probabilities,
           emission_probabilities,
       ]	):
      raise ValueError("""There's an empty parameter"""	)





def       snake_case_ (__A	:		Optional[int]   ,  __A	:		int	)     ->      Tuple:
   _validate_list(__A   ,  """observations_space"""	)
   _validate_list(__A   ,  """states_space"""	)





def       snake_case_ (__A	:		Union[str, Any]   ,  __A	:		List[Any]	)     ->      Any:
   if not isinstance(_object   ,  __A	):
      __lowerCAmelCase    :     Any          =		f'''{var_name} must be a list'''
      raise ValueError(__A	)
   else:
      for x in _object:
         if not isinstance(__A   ,  __A	):
            __lowerCAmelCase    :     List[str]          =		f'''{var_name} must be a list of strings'''
            raise ValueError(__A	)





def       snake_case_ (__A	:		Optional[Any]   ,  __A	:		List[Any]   ,  __A	:		Union[str, Any]   ,  )     ->      str:
   _validate_dict(__A   ,  """initial_probabilities"""   ,  __A	)
   _validate_nested_dict(__A   ,  """transition_probabilities"""	)
   _validate_nested_dict(__A   ,  """emission_probabilities"""	)





def       snake_case_ (__A	:		Optional[int]   ,  __A	:		int	)     ->      Optional[Any]:
   _validate_dict(_object   ,  __A   ,  __A	)
   for x in _object.values():
      _validate_dict(__A   ,  __A   ,  __A   ,  __A	)





def       snake_case_ (__A	:		List[Any]   ,  __A	:		Tuple   ,  __A	:		Optional[int]   ,  __A	:		str = False	)     ->      Union[str, Any]:
   if not isinstance(_object   ,  __A	):
      __lowerCAmelCase    :     int          =		f'''{var_name} must be a dict'''
      raise ValueError(__A	)
   if not all(isinstance(__A   ,  __A	) for x in _object	):
      __lowerCAmelCase    :     Tuple          =		f'''{var_name} all keys must be strings'''
      raise ValueError(__A	)
   if not all(isinstance(__A   ,  __A	) for x in _object.values()	):
      __lowerCAmelCase    :     Tuple          =		"""nested dictionary """ if nested else """"""
      __lowerCAmelCase    :     Any          =		f'''{var_name} {nested_text}all values must be {value_type.__name__}'''
      raise ValueError(__A	)


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

   testmod()








from pathlib import Path

import fire
from tqdm import tqdm




def 		lowerCAmelCase_ (						lowerCamelCase="ro"						,  lowerCamelCase="en"						,  lowerCamelCase="wmt16"						,  lowerCamelCase=None ):
				try:
								import datasets
				except (ModuleNotFoundError, ImportError):
								raise ImportError("""run pip install datasets""" )
				__magic_name__						:						Dict										=F"{src_lang}-{tgt_lang}"
				print(F"Converting {dataset}-{pair}" )
				__magic_name__						:						Dict										=datasets.load_dataset(lowerCamelCase						,  lowerCamelCase )
				if save_dir is None:
								__magic_name__						:						Optional[int]										=F"{dataset}-{pair}"
				__magic_name__						:						int										=Path(lowerCamelCase )
				save_dir.mkdir(exist_ok=lowerCamelCase )

				for split in ds.keys():
								print(F"Splitting {split} with {ds[split].num_rows} records" )

								# to save to val.source, val.target like summary datasets
								__magic_name__						:						Dict										="""val""" if split == """validation""" else split
								__magic_name__						:						List[Any]										=save_dir.joinpath(F"{fn}.source" )
								__magic_name__						:						Optional[int]										=save_dir.joinpath(F"{fn}.target" )
								__magic_name__						:						Optional[Any]										=src_path.open("""w+""" )
								__magic_name__						:						List[Any]										=tgt_path.open("""w+""" )

								# reader is the bottleneck so writing one record at a time doesn't slow things down
								for x in tqdm(ds[split] ):
												__magic_name__						:						str										=x["""translation"""]
												src_fp.write(ex[src_lang] + """\n""" )
												tgt_fp.write(ex[tgt_lang] + """\n""" )

				print(F"Saved {dataset} dataset to {save_dir}" )


if __name__ == "__main__":
							fire.Fire(download_wmt_dataset)




