




'''simple docstring'''


import contextlib
from multiprocessing import Pool, RLock

from tqdm.auto import tqdm

from ..utils import experimental, logging


_lowercase  =			logging.get_logger(__name__)
class 						a_				:
	lowercase_       :     List[str]			  =      None





@experimental
def 						lowerCamelCase__   (				a    ,	a    ,	a    ,	a    ,	a    ,	a    ,	a							):
						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 						lowerCamelCase__   (				a    ,	a    ,	a    ,	a    ,	a    ,	a    ,	a							):
						__snake_case						 =   num_proc if num_proc <= len(a							) else len(a							)
						__snake_case						 =   []  # We organize the splits ourselve (contiguous splits)
						for index in range(a							):
												__snake_case						 =   len(a							) // num_proc
												__snake_case						 =   len(a							) % num_proc
												__snake_case						 =   div * index + min(a    ,	a							)
												__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]}'							)
						__snake_case ,       __snake_case						 =   None, None
						if not disable_tqdm:
												__snake_case ,       __snake_case						 =   (RLock(),), tqdm.set_lock
						with Pool(a    ,	initargs=a    ,	initializer=a							) as pool:
												__snake_case						 =   pool.map(a    ,	a							)
						logger.info(f'Finished {num_proc} processes'							)
						__snake_case						 =   [obj for proc_res in mapped for obj in proc_res]
						logger.info(f'Unpacked {len(a							)} objects'							)

						return mapped
def 						lowerCamelCase__   (				a    ,	a    ,	a    ,	a    ,	a    ,	a    ,	a							):
						# 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 						lowerCamelCase__   (				a							):
						__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:
												__snake_case						 =   None







'''simple docstring'''


def 						lowerCamelCase__   (				a							):
						__snake_case						 =   int(a							)
						if n_element < 1:
												__snake_case						 =   ValueError('a should be a positive number'							)
												raise my_error

						__snake_case						 =   [1]
						__snake_case ,       __snake_case ,       __snake_case						 =   (0, 0, 0)
						__snake_case						 =   1
						while index < n_element:
												while hamming_list[i] * 2 <= hamming_list[-1]:
																		i += 1
												while hamming_list[j] * 3 <= hamming_list[-1]:
																		j += 1
												while hamming_list[k] * 5 <= hamming_list[-1]:
																		k += 1
												hamming_list.append(
												    min(hamming_list[i] * 2    ,	hamming_list[j] * 3    ,	hamming_list[k] * 5							)							)
												index += 1
						return hamming_list


if __name__ == "__main__":
	_lowercase  =			input("""Enter the last number (nth term) of the Hamming Number Series: """)
	print("""Formula of Hamming Number Series => 2^i * 3^j * 5^k""")
	_lowercase  =			hamming(int(n))
	print("""-----------------------------------------------------""")
	print(f'''The list with nth numbers is: {hamming_numbers}''')
	print("""-----------------------------------------------------""")

