import contextlib
from multiprocessing import Pool, RLock

from tqdm.auto import tqdm

from ..utils import experimental, logging


SCREAMING_SNAKE_CASE__		:					Any						=					logging.get_logger(__name__)

class       snake_case					:
  lowercase_			=     None







@experimental
def     _a				(      lowercase__  :			Any     ,  lowercase__  :			str     ,  lowercase__  :			Dict     ,  lowercase__  :			Any     ,  lowercase__  :			Union[str, Any]     ,  lowercase__  :			str     ,  lowercase__  :			Optional[Any] ):







     '''simple docstring'''


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

     return _map_with_joblib(lowercase__     ,  lowercase__     ,  lowercase__     ,  lowercase__     ,  lowercase__     ,  lowercase__     ,  lowercase__ )







def     _a				(      lowercase__  :			Optional[int]     ,  lowercase__  :			Optional[Any]     ,  lowercase__  :			Union[str, Any]     ,  lowercase__  :			int     ,  lowercase__  :			Union[str, Any]     ,  lowercase__  :			str     ,  lowercase__  :			List[str] ):







     '''simple docstring'''


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

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

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

     return mapped







def     _a				(      lowercase__  :			Dict     ,  lowercase__  :			List[str]     ,  lowercase__  :			List[Any]     ,  lowercase__  :			Any     ,  lowercase__  :			Tuple     ,  lowercase__  :			Optional[int]     ,  lowercase__  :			str ):







     '''simple docstring'''


     import joblib

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







@experimental
@contextlib.contextmanager
def     _a				(      lowercase__  :			str ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__				:				int			=		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__				:				Tuple			=		None




from math import factorial, radians







def     _a				(      lowercase__  :			float     ,  lowercase__  :			int = 18     ,  lowercase__  :			int = 10 ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		angle_in_degrees - ((angle_in_degrees // 360.0) * 360.0)

     # Converting from degrees to radians
     SCREAMING_SNAKE_CASE__				:				int			=		radians(lowercase__ )

     SCREAMING_SNAKE_CASE__				:				List[Any]			=		angle_in_radians
     SCREAMING_SNAKE_CASE__				:				Optional[int]			=		3
     SCREAMING_SNAKE_CASE__				:				Optional[int]			=		-1

     for _ in range(lowercase__ ):
          result += (b * (angle_in_radians**a)) / factorial(lowercase__ )

          SCREAMING_SNAKE_CASE__				:				Any			=		-b  # One positive term and the next will be negative and so on...
          a += 2  # Increased by 2 for every term.

     return round(lowercase__     ,  lowercase__ )


if __name__ == "__main__":
      __import__("doctest").testmod()



