

'''simple docstring'''



from dataclasses import dataclass, field
from typing import Tuple

from ..utils import cached_property, is_torch_available, is_torch_tpu_available, logging, requires_backends
from .benchmark_args_utils import BenchmarkArguments


if is_torch_available():
		import torch

if is_torch_tpu_available(check_device=False):
		import torch_xla.core.xla_model as xm


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



@dataclass
class lowerCamelCase (  __a						):



			'''simple docstring'''






			__snake_case    	=       [
			    'no_inference',
			    'no_cuda',
			    'no_tpu',
			    'no_speed',
			    'no_memory',
			    'no_env_print',
			    'no_multi_process',
			]


			def __init__(      self       :						Optional[int]		,			**lowerCAmelCase_       :						Any )			->		Tuple:





									'''simple docstring'''



									for deprecated_arg in self.deprecated_args:
															if deprecated_arg in kwargs:
																					A__     :   Dict      =deprecated_arg[3:]
																					setattr(self		,			a_		,			not kwargs.pop(a_ ) )
																					logger.warning(
																					    f"{deprecated_arg} is depreciated. Please use --no_{positive_arg} or"
																					    f" {positive_arg}={kwargs[positive_arg]}" )

									A__     :   List[Any]      =kwargs.pop("""torchscript"""		,			self.torchscript )
									A__     :   int      =kwargs.pop("""torch_xla_tpu_print_metrics"""		,			self.torch_xla_tpu_print_metrics )
									A__     :   Optional[int]      =kwargs.pop("""fp16_opt_level"""		,			self.fpaa_opt_level )
									super().__init__(**a_ )

			__snake_case    	=       field(default=__a       ,						metadata={'help': 'Trace the models using torchscript'}						)
			__snake_case    	=       field(default=__a       ,						metadata={'help': 'Print Xla/PyTorch tpu metrics'}						)
			__snake_case    	=       field(
			    default='O1'       ,						metadata={
			        'help': (
			            'For fp16: Apex AMP optimization level selected in [\'O0\', \'O1\', \'O2\', and \'O3\']. '
			            'See details at https://nvidia.github.io/apex/amp.html'
			        )
			    }       ,						)


			@cached_property
			def lowercase__						(      self       :						List[str] )			->		str:





									'''simple docstring'''
									requires_backends(self		,			["""torch"""] )
									logger.info("""PyTorch: setting up devices""" )
									if not self.cuda:
															A__     :   List[Any]      =torch.device("""cpu""" )
															A__     :   int      =0
									elif is_torch_tpu_available():
															A__     :   Any      =xm.xla_device()
															A__     :   int      =0
									else:
															A__     :   List[str]      =torch.device("""cuda""" if torch.cuda.is_available() else """cpu""" )
															A__     :   Dict      =torch.cuda.device_count()
									return device, n_gpu


			@property
			def lowercase__						(      self       :						List[Any] )			->		Any:





									'''simple docstring'''
									return is_torch_tpu_available() and self.tpu


			@property
			def lowercase__						(      self       :						Dict )			->		Any:





									'''simple docstring'''
									requires_backends(self		,			["""torch"""] )
									# TODO(PVP): currently only single GPU is supported
									return torch.cuda.current_device()


			@property
			def lowercase__						(      self       :						str )			->		Any:





									'''simple docstring'''
									requires_backends(self		,			["""torch"""] )
									return self._setup_devices[0]


			@property
			def lowercase__						(      self       :						Any )			->		List[str]:





									'''simple docstring'''
									requires_backends(self		,			["""torch"""] )
									return self._setup_devices[1]



			@property
			def lowercase__						(      self       :						Optional[Any] )			->		List[str]:





									'''simple docstring'''
									return self.n_gpu > 0







"""simple docstring"""


def 					UpperCAmelCase__       (snake_case__							:					Union[str, Any]    ):
  """simple docstring"""

  stooge(snake_case__		,   0		,   len(snake_case__    ) - 1    )
  return arr


def 					UpperCAmelCase__       (snake_case__							:					List[Any]		,   snake_case__							:					Any		,   snake_case__							:					int    ):
  """simple docstring"""

  if i >= h:
    return

  # If first element is smaller than the last then swap them
  if arr[i] > arr[h]:
    _snake_case		,					_snake_case							:		Tuple								=  arr[h], arr[i]

  # If there are more than 2 elements in the array
  if h - i + 1 > 2:
    _snake_case							:		Dict								=  (int)((h - i + 1) / 3    )

    # Recursively sort first 2/3 elements
    stooge(snake_case__		,   snake_case__		,   (h - t)    )

    # Recursively sort last 2/3 elements
    stooge(snake_case__		,   i + t		,   (snake_case__)    )

    # Recursively sort first 2/3 elements
    stooge(snake_case__		,   snake_case__		,   (h - t)    )


if __name__ == "__main__":
     A_						=				input('''Enter numbers separated by a comma:\n''').strip()
     A_						=				[int(item) for item in user_input.split(''',''')]
     print(stooge_sort(unsorted))


