






'''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


__lowerCamelCase : List[str]											=			logging.get_logger(__name__)

@dataclass
class       UpperCAmelCase (						_lowercase  ):
		UpperCAmelCase					:	Any 			=		[
		    '''no_inference''',
		    '''no_cuda''',
		    '''no_tpu''',
		    '''no_speed''',
		    '''no_memory''',
		    '''no_env_print''',
		    '''no_multi_process''',
		]




		def __init__(self      :	int							,			**A__      :	Optional[Any]				)					-> Dict:
						for deprecated_arg in self.deprecated_args:
										if deprecated_arg in kwargs:
														lowercase         = 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]}'				)

						lowercase         = kwargs.pop("torchscript"							,			self.torchscript				)
						lowercase         = kwargs.pop("torch_xla_tpu_print_metrics"							,			self.torch_xla_tpu_print_metrics				)
						lowercase         = kwargs.pop("fp16_opt_level"							,			self.fpaa_opt_level				)
						super().__init__(**A__				)

		UpperCAmelCase					:	bool 			=		field(default=_lowercase			,       metadata={'''help''': '''Trace the models using torchscript'''}  )
		UpperCAmelCase					:	bool 			=		field(default=_lowercase			,       metadata={'''help''': '''Print Xla/PyTorch tpu metrics'''}  )
		UpperCAmelCase					:	str 			=		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 				UpperCAmelCase__   (self      :	str				)					-> Tuple["torch.device", int]:
						requires_backends(self							,			["torch"]				)
						logger.info("PyTorch: setting up devices"				)
						if not self.cuda:
										lowercase         = torch.device("cpu"				)
										lowercase         = 0
						elif is_torch_tpu_available():
										lowercase         = xm.xla_device()
										lowercase         = 0
						else:
										lowercase         = torch.device("cuda" if torch.cuda.is_available() else "cpu"				)
										lowercase         = torch.cuda.device_count()
						return device, n_gpu




		@property
		def 				UpperCAmelCase__   (self      :	int				)					-> List[str]:
						return is_torch_tpu_available() and self.tpu




		@property
		def 				UpperCAmelCase__   (self      :	List[str]				)					-> int:
						requires_backends(self							,			["torch"]				)
						# TODO(PVP): currently only single GPU is supported
						return torch.cuda.current_device()




		@property
		def 				UpperCAmelCase__   (self      :	Dict				)					-> "torch.device":
						requires_backends(self							,			["torch"]				)
						return self._setup_devices[0]




		@property
		def 				UpperCAmelCase__   (self      :	Dict				)					-> int:
						requires_backends(self							,			["torch"]				)
						return self._setup_devices[1]





		@property
		def 				UpperCAmelCase__   (self      :	Any				)					-> Optional[int]:
						return self.n_gpu > 0











'''simple docstring'''

__lowerCamelCase : str											=			8.314_4598







def 							UpperCAmelCase_    (	lowerCAmelCase_		,							lowerCAmelCase_							):

				"""simple docstring"""






				if temperature < 0:
								raise Exception("Temperature cannot be less than 0 K"							)
				if molar_mass <= 0:
								raise Exception("Molar mass cannot be less than or equal to 0 kg/mol"							)
				else:
								return (3 * UNIVERSAL_GAS_CONSTANT * temperature / molar_mass) ** 0.5


if __name__ == "__main__":
			import doctest

			# run doctest
			doctest.testmod()

			# example
			__lowerCamelCase : Optional[Any]											=			300
			__lowerCamelCase : Tuple											=			28
			__lowerCamelCase : str											=			rms_speed_of_molecule(temperature, molar_mass)
			print(f"Vrms of Nitrogen gas at 300 K is {vrms} m/s")




