






'''simple docstring'''

import contextlib
from multiprocessing import Pool, RLock

from tqdm.auto import tqdm

from ..utils import experimental, logging


UpperCamelCase      					=logging.get_logger(__name__)




class      A     :






 """simple docstring"""





 __a      :    Optional[int]			  =    None






@experimental
def 				snake_case       (  a_				:			Any     , a_				:			int     , a_				:			Dict     , a_				:			str     , a_				:			List[str]     , a_				:			str     , a_				:			Optional[Any]						)							->					Union[str, Any]:





      """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 				snake_case       (  a_				:			Any     , a_				:			Optional[Any]     , a_				:			Dict     , a_				:			List[Any]     , a_				:			Tuple     , a_				:			str     , a_				:			Optional[Any]						)							->					Any:





      """simple docstring"""

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

      return mapped



def 				snake_case       (  a_				:			Optional[Any]     , a_				:			Union[str, Any]     , a_				:			Tuple     , a_				:			str     , a_				:			List[Any]     , a_				:			str     , a_				:			Optional[int]						)							->					Optional[int]:





      """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 				snake_case       (  a_				:			str						)							->					Dict:





      """simple docstring"""

      UpperCamelCase_					: Tuple            =				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_					: int            =				None














'''simple docstring'''

def 				snake_case       (  a_				:			list[int]     , a_				:			list[int]						)							->					tuple[float, float]:





      """simple docstring"""

      if not len(a_						) == len(a_						) == 3:
            raise ValueError("""Please enter a valid equation."""						)
      if equationa[0] == equationa[1] == equationa[0] == equationa[1] == 0:
            raise ValueError("""Both a & b of two equations can't be zero."""						)

      # Extract the coefficients
      UpperCamelCase_     ,      UpperCamelCase_     ,      UpperCamelCase_					: Optional[int]            =				equationa
      UpperCamelCase_     ,      UpperCamelCase_     ,      UpperCamelCase_					: List[str]            =				equationa

      # Calculate the determinants of the matrices
      UpperCamelCase_					: Union[str, Any]            =				aa * ba - aa * ba
      UpperCamelCase_					: Dict            =				ca * ba - ca * ba
      UpperCamelCase_					: Dict            =				aa * ca - aa * ca

      # Check if the system of linear equations has a solution (using Cramer's rule)
      if determinant == 0:
            if determinant_x == determinant_y == 0:
                  raise ValueError("""Infinite solutions. (Consistent system)"""						)
            else:
                  raise ValueError("""No solution. (Inconsistent system)"""						)
      else:
            if determinant_x == determinant_y == 0:
                  # Trivial solution (Inconsistent system)
                  return (0.0, 0.0)
            else:
                  UpperCamelCase_					: List[Any]            =				determinant_x / determinant
                  UpperCamelCase_					: List[str]            =				determinant_y / determinant
                  # Non-Trivial Solution (Consistent system)
                  return (x, y)






