
'''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


UpperCAmelCase_							: Union[str, Any] =							logging.get_logger(__name__)

@dataclass
class 			UpperCAmelCase__    (							A			):
    lowerCAmelCase_					     =		[
        'no_inference',
        'no_cuda',
        'no_tpu',
        'no_speed',
        'no_memory',
        'no_env_print',
        'no_multi_process',
    ]



    def __init__(						self   :							str,**__A   :							List[Any]  ):
          for deprecated_arg in self.deprecated_args:
                if deprecated_arg in kwargs:
                      _lowerCamelCase					: Any		    = 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]}'  )

          _lowerCamelCase					: str		    = kwargs.pop("torchscript",self.torchscript  )
          _lowerCamelCase					: Tuple		    = kwargs.pop("torch_xla_tpu_print_metrics",self.torch_xla_tpu_print_metrics  )
          _lowerCamelCase					: str		    = kwargs.pop("fp16_opt_level",self.fpaa_opt_level  )
          super().__init__(**__A  )

    lowerCAmelCase_					     =		field(default=A    ,						metadata={'help': 'Trace the models using torchscript'}			)
    lowerCAmelCase_					     =		field(default=A    ,						metadata={'help': 'Print Xla/PyTorch tpu metrics'}			)
    lowerCAmelCase_					     =		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 	lowerCamelCase_	(						self   :							Any  ):
          requires_backends(self,["torch"]  )
          logger.info("PyTorch: setting up devices"  )
          if not self.cuda:
                _lowerCamelCase					: Union[str, Any]		    = torch.device("cpu"  )
                _lowerCamelCase					: List[str]		    = 0
          elif is_torch_tpu_available():
                _lowerCamelCase					: Dict		    = xm.xla_device()
                _lowerCamelCase					: Dict		    = 0
          else:
                _lowerCamelCase					: Union[str, Any]		    = torch.device("cuda" if torch.cuda.is_available() else "cpu"  )
                _lowerCamelCase					: Any		    = torch.cuda.device_count()
          return device, n_gpu



    @property
    def 	lowerCamelCase_	(						self   :							Any  ):
          return is_torch_tpu_available() and self.tpu



    @property
    def 	lowerCamelCase_	(						self   :							Optional[Any]  ):
          requires_backends(self,["torch"]  )
          # TODO(PVP): currently only single GPU is supported
          return torch.cuda.current_device()



    @property
    def 	lowerCamelCase_	(						self   :							Dict  ):
          requires_backends(self,["torch"]  )
          return self._setup_devices[0]



    @property
    def 	lowerCamelCase_	(						self   :							Optional[int]  ):
          requires_backends(self,["torch"]  )
          return self._setup_devices[1]



    @property
    def 	lowerCamelCase_	(						self   :							str  ):
          return self.n_gpu > 0




"""simple docstring"""







def     UpperCAmelCase_					(				__a   :			list						):




			'''simple docstring'''



			if len(__a						) <= 1:
						return lst

			_lowerCamelCase					:					str	       =    1

			while i < len(__a						):
						if lst[i - 1] <= lst[i]:
									i += 1
						else:
									_lowerCamelCase       ,							_lowerCamelCase					:					Optional[Any]	       =    lst[i], lst[i - 1]
									i -= 1
									if i == 0:
												_lowerCamelCase					:					Dict	       =    1

			return lst


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





