




"""simple docstring"""




import contextlib
from multiprocessing import Pool, RLock

from tqdm.auto import tqdm

from ..utils import experimental, logging


lowerCAmelCase							:    List[str]  							=     logging.get_logger(__name__)






class 					__magic_name__							:






				'''simple docstring'''
				__UpperCamelCase    						=		None




@experimental
def 					a__				(       snake_case__ ,				snake_case__ ,				snake_case__ ,				snake_case__ ,				snake_case__ ,				snake_case__ ,				snake_case__       )		->      int:
			if ParallelBackendConfig.backend_name is None:
						return _map_with_multiprocessing_pool(
						    snake_case__ ,				snake_case__ ,				snake_case__ ,				snake_case__ ,				snake_case__ ,				snake_case__ ,				snake_case__       )

			return _map_with_joblib(snake_case__ ,				snake_case__ ,				snake_case__ ,				snake_case__ ,				snake_case__ ,				snake_case__ ,				snake_case__       )



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

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

			logger.info(
			    F'Spawning {num_proc} processes for {len(snake_case__       )} 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(snake_case__ ,				initargs=snake_case__ ,				initializer=snake_case__       ) as pool:
						lowerCamelCase       =      pool.map(snake_case__ ,				snake_case__       )
			logger.info(F'Finished {num_proc} processes'       )
			lowerCamelCase       =      [obj for proc_res in mapped for obj in proc_res]
			logger.info(F'Unpacked {len(snake_case__       )} objects'       )

			return mapped



def 					a__				(       snake_case__ ,				snake_case__ ,				snake_case__ ,				snake_case__ ,				snake_case__ ,				snake_case__ ,				snake_case__       )		->      List[str]:
			# progress bar is not yet supported for _map_with_joblib, because tqdm couldn't accurately be applied to joblib,
			# and it requires monkey-patching joblib internal classes which is subject to change
			import joblib

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



@experimental
@contextlib.contextmanager
def 					a__				(       snake_case__       )		->      Tuple:
			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









"""simple docstring"""




from __future__ import annotations



def 					a__				(       snake_case__ ,				snake_case__ = None ,				snake_case__ = None       )		->      None:
			if start is None:
						lowerCamelCase       =      0

			if end is None:
						lowerCamelCase       =      len(snake_case__       ) - 1

			if start >= end:
						return

			lowerCamelCase       =      (start + end) // 2

			slowsort(snake_case__ ,				snake_case__ ,				snake_case__       )
			slowsort(snake_case__ ,				mid + 1 ,				snake_case__       )

			if sequence[end] < sequence[mid]:
						lowerCamelCase   ,     lowerCamelCase       =      sequence[mid], sequence[end]

			slowsort(snake_case__ ,				snake_case__ ,				end - 1       )


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

					testmod()



