


'''simple docstring'''



import contextlib
from multiprocessing import Pool, RLock

from tqdm.auto import tqdm

from ..utils import experimental, logging


_lowercase    :    Optional[Any]			     =  logging.get_logger(__name__)






class  UpperCamelCase__:
				__magic_name__       :   str							= None







@experimental
def    lowerCamelCase__   ( A     :    List[Any]   ,     A     :    Any   ,     A     :    List[Any]   ,     A     :    Union[str, Any]   ,     A     :    Tuple   ,     A     :    Optional[Any]   ,     A     :    str  ):




						'''simple docstring'''






						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     :    Tuple   ,     A     :    List[str]   ,     A     :    Any   ,     A     :    Union[str, Any]   ,     A     :    Optional[Any]   ,     A     :    List[str]   ,     A     :    List[Any]  ):




						'''simple docstring'''






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

						return mapped


def    lowerCamelCase__   ( A     :    Dict   ,     A     :    List[Any]   ,     A     :    str   ,     A     :    Optional[int]   ,     A     :    Dict   ,     A     :    Optional[int]   ,     A     :    List[Any]  ):




						'''simple docstring'''






						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     :    str  ):




						'''simple docstring'''






						UpperCAmelCase         =			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:
												UpperCAmelCase         =			None





'''simple docstring'''



import functools


def    lowerCamelCase__   ( A     :    list[int]   ,     A     :    list[int]  ):




						'''simple docstring'''






						if not isinstance(A   ,     A  ) or not all(isinstance(A   ,     A  ) for day in days  ):
												raise ValueError('''The parameter days should be a list of integers'''  )

						if len(A  ) != 3 or not all(isinstance(A   ,     A  ) for cost in costs  ):
												raise ValueError('''The parameter costs should be a list of three integers'''  )

						if len(A  ) == 0:
												return 0

						if min(A  ) <= 0:
												raise ValueError('''All days elements should be greater than 0'''  )

						if max(A  ) >= 3_66:
												raise ValueError('''All days elements should be less than 366'''  )

						UpperCAmelCase         =			set(A  )

						@functools.cache
						def dynamic_programming(A     :    int  ) -> int:
												if index > 3_65:
																		return 0

												if index not in days_set:
																		return dynamic_programming(index + 1  )

												return min(
												    costs[0] + dynamic_programming(index + 1  )   ,     costs[1] + dynamic_programming(index + 7  )   ,     costs[2] + dynamic_programming(index + 30  )   ,     )

						return dynamic_programming(1  )


if __name__ == "__main__":
	import doctest

	doctest.testmod()





