import contextlib
from multiprocessing import Pool, RLock

from tqdm.auto import tqdm

from ..utils import experimental, logging


UpperCAmelCase_           =				logging.get_logger(__name__)




class 			__magic_name__	:





   """simple docstring"""




   lowerCAmelCase   :     str	      = None




@experimental
def    lowerCAmelCase_  (		lowercase:				Tuple	,       lowercase:				int	,       lowercase:				Optional[int]	,       lowercase:				List[str]	,       lowercase:				str	,       lowercase:				str	,       lowercase:				int		)     ->					List[str]:







 '''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    lowerCAmelCase_  (		lowercase:				Optional[int]	,       lowercase:				Optional[Any]	,       lowercase:				List[Any]	,       lowercase:				Optional[int]	,       lowercase:				Optional[Any]	,       lowercase:				Optional[int]	,       lowercase:				Optional[int]		)     ->					int:







 '''simple docstring'''
 _UpperCamelCase:  Any    						=			num_proc if num_proc <= len(lowercase		) else len(lowercase		)
 _UpperCamelCase:  Tuple    						=			[]  # We organize the splits ourselve (contiguous splits)
 for index in range(lowercase		):
  _UpperCamelCase:  Any    						=			len(lowercase		) // num_proc
  _UpperCamelCase:  str    						=			len(lowercase		) % num_proc
  _UpperCamelCase:  List[str]    						=			div * index + min(lowercase	,       lowercase		)
  _UpperCamelCase:  Optional[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]}"""		)
 _UpperCamelCase						,				_UpperCamelCase:  Tuple    						=			None, None
 if not disable_tqdm:
  _UpperCamelCase						,				_UpperCamelCase:  Union[str, Any]    						=			(RLock(),), tqdm.set_lock
 with Pool(lowercase	,       initargs=lowercase	,       initializer=lowercase		) as pool:
  _UpperCamelCase:  List[str]    						=			pool.map(lowercase	,       lowercase		)
 logger.info(F"""Finished {num_proc} processes"""		)
 _UpperCamelCase:  List[Any]    						=			[obj for proc_res in mapped for obj in proc_res]
 logger.info(F"""Unpacked {len(lowercase		)} objects"""		)

 return mapped




def    lowerCAmelCase_  (		lowercase:				str	,       lowercase:				Optional[Any]	,       lowercase:				List[str]	,       lowercase:				int	,       lowercase:				Tuple	,       lowercase:				str	,       lowercase:				int		)     ->					Any:







 '''simple docstring'''
 # 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=lowercase		):
  return joblib.Parallel()(
      joblib.delayed(lowercase		)((function, obj, types, None, True, None)		) for obj in iterable		)





@experimental
@contextlib.contextmanager
def    lowerCAmelCase_  (		lowercase:				str		)     ->					Optional[Any]:







 '''simple docstring'''
 _UpperCamelCase:  List[Any]    						=			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:  List[Any]    						=			None
def    lowerCAmelCase_  (		lowercase:				Dict		)     ->					Any:







 '''simple docstring'''
 _UpperCamelCase:  int    						=			[]
 _UpperCamelCase:  Dict    						=			set({'''(''', '''[''', '''{'''}		)
 _UpperCamelCase:  int    						=			set({''')''', ''']''', '''}'''}		)
 _UpperCamelCase:  Dict    						=			{'''{''': '''}''', '''[''': ''']''', '''(''': ''')'''}

 for i in range(len(lowercase		)		):
  if s[i] in open_brackets:
   stack.append(s[i]		)

  elif s[i] in closed_brackets and (
      len(lowercase		) == 0 or (len(lowercase		) > 0 and open_to_closed[stack.pop()] != s[i])
  ):
   return False

 return len(lowercase		) == 0




def    lowerCAmelCase_  (		)     ->					int:







 '''simple docstring'''
 _UpperCamelCase:  List[str]    						=			input('''Enter sequence of brackets: '''		)
 if is_balanced(lowercase		):
  print(lowercase	,       '''is balanced'''		)
 else:
  print(lowercase	,       '''is not balanced'''		)


if __name__ == "__main__":
  main()