



import contextlib
from multiprocessing import Pool, RLock

from tqdm.auto import tqdm

from ..utils import experimental, logging


lowerCAmelCase__		:					Optional[int]							=logging.get_logger(__name__)

class        UpperCAmelCase_  :

						'''simple docstring'''




						UpperCamelCase__      :			int      =  None







@experimental
def      __lowercase       (			a__							,       a__							,       a__							,       a__							,       a__							,       a__							,       a__       )    ->			Optional[int]:
							if ParallelBackendConfig.backend_name is None:
														return _map_with_multiprocessing_pool(
														    a__							,       a__							,       a__							,       a__							,       a__							,       a__							,       a__       )

							return _map_with_joblib(a__							,       a__							,       a__							,       a__							,       a__							,       a__							,       a__       )






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

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

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

							return mapped






def      __lowercase       (			a__							,       a__							,       a__							,       a__							,       a__							,       a__							,       a__       )    ->			Dict:
							# 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=a__       ):
														return joblib.Parallel()(
														    joblib.delayed(a__       )((function, obj, types, None, True, None)       ) for obj in iterable       )






@experimental
@contextlib.contextmanager
def      __lowercase       (			a__       )    ->			str:
							__SCREAMING_SNAKE_CASE									= 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:
														__SCREAMING_SNAKE_CASE									= None











def      __lowercase       (			a__ = 10_00       )    ->			int:
							__SCREAMING_SNAKE_CASE									= -1
							__SCREAMING_SNAKE_CASE									= 0
							for a in range(1							,       n // 3       ):
														# Solving the two equations a**2+b**2=c**2 and a+b+c=N eliminating c
														__SCREAMING_SNAKE_CASE									= (n * n - 2 * a * n) // (2 * n - 2 * a)
														__SCREAMING_SNAKE_CASE									= n - a - b
														if c * c == (a * a + b * b):
																					__SCREAMING_SNAKE_CASE									= a * b * c
																					if candidate >= product:
																												__SCREAMING_SNAKE_CASE									= candidate
							return product


if __name__ == "__main__":
			print(F'''{solution() = }''')






