


"""simple docstring"""






import contextlib
from multiprocessing import Pool, RLock

from tqdm.auto import tqdm

from ..utils import experimental, logging


_lowerCAmelCase							:    str					   =	logging.get_logger(__name__)




class 							A_      :
  lowerCAmelCase__      			=	None







@experimental
def        lowerCamelCase_(		_lowerCamelCase			,		_lowerCamelCase			,		_lowerCamelCase			,		_lowerCamelCase			,		_lowerCamelCase			,		_lowerCamelCase			,		_lowerCamelCase       )    ->     str:
   '''simple docstring'''





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

   return _map_with_joblib(_lowerCamelCase			,		_lowerCamelCase			,		_lowerCamelCase			,		_lowerCamelCase			,		_lowerCamelCase			,		_lowerCamelCase			,		_lowerCamelCase       )







def        lowerCamelCase_(		_lowerCamelCase			,		_lowerCamelCase			,		_lowerCamelCase			,		_lowerCamelCase			,		_lowerCamelCase			,		_lowerCamelCase			,		_lowerCamelCase       )    ->     str:
   '''simple docstring'''





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

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

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

   return mapped







def        lowerCamelCase_(		_lowerCamelCase			,		_lowerCamelCase			,		_lowerCamelCase			,		_lowerCamelCase			,		_lowerCamelCase			,		_lowerCamelCase			,		_lowerCamelCase       )    ->     List[Any]:
   '''simple docstring'''





   import joblib

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







@experimental
@contextlib.contextmanager
def        lowerCamelCase_(		_lowerCamelCase       )    ->     Dict:
   '''simple docstring'''





   _lowerCamelCase   :				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:
      _lowerCamelCase   :				Any							=     None


__lowercase				      =						"""Alexander Joslin"""

import operator as op

from .stack import Stack







def 							_lowerCamelCase   (			SCREAMING_SNAKE_CASE   ):
      '''simple docstring'''







      A_							       =		{'''*''': op.mul, '''/''': op.truediv, '''+''': op.add, '''-''': op.sub}

      A_							       =		Stack()
      A_							       =		Stack()

      for i in equation:
            if i.isdigit():
                  # RULE 1
                  operand_stack.push(int(SCREAMING_SNAKE_CASE   )   )
            elif i in operators:
                  # RULE 2
                  operator_stack.push(SCREAMING_SNAKE_CASE   )
            elif i == ")":
                  # RULE 4
                  A_							       =		operator_stack.peek()
                  operator_stack.pop()
                  A_							       =		operand_stack.peek()
                  operand_stack.pop()
                  A_							       =		operand_stack.peek()
                  operand_stack.pop()

                  A_							       =		operators[opr](SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE   )
                  operand_stack.push(SCREAMING_SNAKE_CASE   )

    # RULE 5
      return operand_stack.peek()


if __name__ == "__main__":
      __lowercase				      =						"""(5 + ((4 * 2) * (2 + 3)))"""
      # answer = 45
      print(f'{equation} = {dijkstras_two_stack_algorithm(equation)}')





