





'''simple docstring'''






import contextlib
from multiprocessing import Pool, RLock

from tqdm.auto import tqdm

from ..utils import experimental, logging


A__				:   Any      =logging.get_logger(__name__)




class  UpperCAmelCase     :
      _lowercase:			Optional[Any]						     =   None




@experimental
def    UpperCamelCase__      (		lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase  ):





      """simple docstring"""


      if ParallelBackendConfig.backend_name is None:
            return _map_with_multiprocessing_pool(
                lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase  )

      return _map_with_joblib(lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase  )
def    UpperCamelCase__      (		lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase  ):





      """simple docstring"""


      _lowerCAmelCase							     =							num_proc if num_proc <= len(lowerCAmelCase  ) else len(lowerCAmelCase  )
      _lowerCAmelCase							     =							[]  # We organize the splits ourselve (contiguous splits)
      for index in range(lowerCAmelCase  ):
            _lowerCAmelCase							     =							len(lowerCAmelCase  ) // num_proc
            _lowerCAmelCase							     =							len(lowerCAmelCase  ) % num_proc
            _lowerCAmelCase							     =							div * index + min(lowerCAmelCase							,	lowerCAmelCase  )
            _lowerCAmelCase							     =							start + div + (1 if index < mod else 0)
            split_kwds.append((function, iterable[start:end], types, index, disable_tqdm, desc)  )

      if len(lowerCAmelCase  ) != sum(len(i[1]  ) for i in split_kwds  ):
            raise ValueError(
                f"Error dividing inputs iterable among processes. "
                f"Total number of objects {len(lowerCAmelCase  )}, "
                f"length: {sum(len(i[1]  ) for i in split_kwds  )}"  )

      logger.info(
          f"Spawning {num_proc} processes for {len(lowerCAmelCase  )} objects in slices of {[len(i[1]  ) for i in split_kwds]}"  )
      _lowerCAmelCase     ,							_lowerCAmelCase							     =							None, None
      if not disable_tqdm:
            _lowerCAmelCase     ,							_lowerCAmelCase							     =							(RLock(),), tqdm.set_lock
      with Pool(lowerCAmelCase							,	initargs=lowerCAmelCase							,	initializer=lowerCAmelCase  ) as pool:
            _lowerCAmelCase							     =							pool.map(lowerCAmelCase							,	lowerCAmelCase  )
      logger.info(f"Finished {num_proc} processes"  )
      _lowerCAmelCase							     =							[obj for proc_res in mapped for obj in proc_res]
      logger.info(f"Unpacked {len(lowerCAmelCase  )} objects"  )

      return mapped
def    UpperCamelCase__      (		lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase  ):





      """simple docstring"""


      import joblib

      with joblib.parallel_backend(ParallelBackendConfig.backend_name							,	n_jobs=lowerCAmelCase  ):
            return joblib.Parallel()(
                joblib.delayed(lowerCAmelCase  )((function, obj, types, None, True, None)  ) for obj in iterable  )





@experimental
@contextlib.contextmanager
def    UpperCamelCase__      (		lowerCAmelCase  ):





      """simple docstring"""


      _lowerCAmelCase							     =							backend_name

      if backend_name == "spark":
            from joblibspark import register_spark

            register_spark()

            # TODO: call create_cache_and_write_probe if "download" in steps
            # TODO: raise NotImplementedError when Dataset.map etc is called

      try:
            yield
      finally:
            _lowerCAmelCase							     =							None










def        _UpperCamelCase							(      lowercase__    ,       lowercase__    ,       lowercase__=False      ):

						if isinstance(lowercase__    ,       lowercase__      ) and isinstance(lowercase__    ,       lowercase__      ):
												__SCREAMING_SNAKE_CASE						:     List[str]					=		len(set_a.intersection(lowercase__      )      )

												if alternative_union:
																		__SCREAMING_SNAKE_CASE						:     int					=		len(lowercase__      ) + len(lowercase__      )
												else:
																		__SCREAMING_SNAKE_CASE						:     int					=		len(set_a.union(lowercase__      )      )

												return intersection / union

						if isinstance(lowercase__    ,       (list, tuple)      ) and isinstance(lowercase__    ,       (list, tuple)      ):
												__SCREAMING_SNAKE_CASE						:     Dict					=		[element for element in set_a if element in set_b]

												if alternative_union:
																		__SCREAMING_SNAKE_CASE						:     Optional[int]					=		len(lowercase__      ) + len(lowercase__      )
																		return len(lowercase__      ) / union
												else:
																		__SCREAMING_SNAKE_CASE						:     Tuple					=		set_a + [element for element in set_b if element not in set_a]
																		return len(lowercase__      ) / len(lowercase__      )

												return len(lowercase__      ) / len(lowercase__      )
						return None


if __name__ == "__main__":
						__lowerCAmelCase	: List[Any]  				={'a', 'b', 'c', 'd', 'e'}
						__lowerCAmelCase	: Optional[Any]  				={'c', 'd', 'e', 'f', 'h', 'i'}
						print(jaccard_similarity(set_a, set_b))
