


"""simple docstring"""


import contextlib
from multiprocessing import Pool, RLock

from tqdm.auto import tqdm

from ..utils import experimental, logging


A	:  Tuple            =     logging.get_logger(__name__)
class     _UpperCamelCase    :
							'''simple docstring'''







							__UpperCAmelCase		:       Any							 =None


@experimental
def _lowerCamelCase      (						_UpperCamelCase       ,					_UpperCamelCase       ,					_UpperCamelCase       ,					_UpperCamelCase       ,					_UpperCamelCase       ,					_UpperCamelCase       ,					_UpperCamelCase ):

			'''simple docstring'''




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

			return _map_with_joblib(_UpperCamelCase       ,					_UpperCamelCase       ,					_UpperCamelCase       ,					_UpperCamelCase       ,					_UpperCamelCase       ,					_UpperCamelCase       ,					_UpperCamelCase )


def _lowerCamelCase      (						_UpperCamelCase       ,					_UpperCamelCase       ,					_UpperCamelCase       ,					_UpperCamelCase       ,					_UpperCamelCase       ,					_UpperCamelCase       ,					_UpperCamelCase ):

			'''simple docstring'''




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

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

			logger.info(
			    f"Spawning {num_proc} processes for {len(_UpperCamelCase )} 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(_UpperCamelCase       ,					initargs=_UpperCamelCase       ,					initializer=_UpperCamelCase ) as pool:
						__lowerCAmelCase							       =     pool.map(_UpperCamelCase       ,					_UpperCamelCase )
			logger.info(f"Finished {num_proc} processes" )
			__lowerCAmelCase							       =     [obj for proc_res in mapped for obj in proc_res]
			logger.info(f"Unpacked {len(_UpperCamelCase )} objects" )

			return mapped


def _lowerCamelCase      (						_UpperCamelCase       ,					_UpperCamelCase       ,					_UpperCamelCase       ,					_UpperCamelCase       ,					_UpperCamelCase       ,					_UpperCamelCase       ,					_UpperCamelCase ):

			'''simple docstring'''




			import joblib

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


@experimental
@contextlib.contextmanager
def _lowerCamelCase      (						_UpperCamelCase ):

			'''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








"""simple docstring"""


from __future__ import annotations
class     _UpperCamelCase    :
							'''simple docstring'''







							def __init__(	self       ,  __a=None      ):
										__lowerCAmelCase							       =     data
										__lowerCAmelCase							       =     None



							def __repr__(	self      ):
										__lowerCAmelCase							       =     []
										__lowerCAmelCase							       =     self
										while temp:
													string_rep.append(f"{temp.data}"      )
													__lowerCAmelCase							       =     temp.next
										return "->".join(__a      )


def _lowerCamelCase      (						_UpperCamelCase ):

			'''simple docstring'''




			if not elements_list:
						raise Exception("The Elements List is empty" )

			__lowerCAmelCase							       =     __lowerCAmelCase							       =     Node(elements_list[0] )
			for i in range(1       ,					len(_UpperCamelCase ) ):
						__lowerCAmelCase							       =     Node(elements_list[i] )
						__lowerCAmelCase							       =     current.next
			return head


def _lowerCamelCase      (						_UpperCamelCase ):

			'''simple docstring'''




			if head_node is not None and isinstance(_UpperCamelCase       ,					_UpperCamelCase ):
						print_reverse(head_node.next )
						print(head_node.data )


def _lowerCamelCase      (						):

			'''simple docstring'''




			from doctest import testmod

			testmod()

			__lowerCAmelCase							       =     make_linked_list([14, 52, 14, 12, 43] )
			print("Linked List:" )
			print(_UpperCamelCase )
			print("Elements in Reverse:" )
			print_reverse(_UpperCamelCase )


if __name__ == "__main__":
	main()




