




"""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


SCREAMING_SNAKE_CASE__      						=  logging.get_logger(__name__)



@dataclass
class   lowerCAmelCase_    (			snake_case__					):



				"""simple docstring"""
				_lowerCAmelCase     :    Union[str, Any]			  =						[
				    """no_inference""",
				    """no_cuda""",
				    """no_tpu""",
				    """no_speed""",
				    """no_memory""",
				    """no_env_print""",
				    """no_multi_process""",
				]

				def __init__(				self		,    **lowerCAmelCase    ):






										"""simple docstring"""

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

										snake_case								=			kwargs.pop('torchscript'		,    self.torchscript    )
										snake_case								=			kwargs.pop('torch_xla_tpu_print_metrics'		,    self.torch_xla_tpu_print_metrics    )
										snake_case								=			kwargs.pop('fp16_opt_level'		,    self.fpaa_opt_level    )
										super().__init__(**lowercase_    )

				_lowerCAmelCase     :    int			  =						field(default=snake_case__     ,    metadata={"""help""": """Trace the models using torchscript"""}					)
				_lowerCAmelCase     :    Tuple			  =						field(default=snake_case__     ,    metadata={"""help""": """Print Xla/PyTorch tpu metrics"""}					)
				_lowerCAmelCase     :    Dict			  =						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 		snake_case (				self    ):






										"""simple docstring"""

										requires_backends(self		,    ['torch']    )
										logger.info('PyTorch: setting up devices'    )
										if not self.cuda:
																snake_case								=			torch.device('cpu'    )
																snake_case								=			0
										elif is_torch_tpu_available():
																snake_case								=			xm.xla_device()
																snake_case								=			0
										else:
																snake_case								=			torch.device('cuda' if torch.cuda.is_available() else 'cpu'    )
																snake_case								=			torch.cuda.device_count()
										return device, n_gpu

				@property
				def 		snake_case (				self    ):






										"""simple docstring"""

										return is_torch_tpu_available() and self.tpu

				@property
				def 		snake_case (				self    ):






										"""simple docstring"""

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

				@property
				def 		snake_case (				self    ):






										"""simple docstring"""

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

				@property
				def 		snake_case (				self    ):






										"""simple docstring"""

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

				@property
				def 		snake_case (				self    ):






										"""simple docstring"""

										return self.n_gpu > 0



"""simple docstring"""
import math





def    lowerCAmelCase__    (			_UpperCamelCase       :				int					)					->				bool:





						"""simple docstring"""






						return math.sqrt(_UpperCamelCase					) * math.sqrt(_UpperCamelCase					) == num





def    lowerCAmelCase__    (			_UpperCamelCase       :				int					)					->				bool:





						"""simple docstring"""






						snake_case								=			0
						snake_case								=			n
						while left <= right:
												snake_case								=			(left + right) // 2
												if mid**2 == n:
																		return True
												elif mid**2 > n:
																		snake_case								=			mid - 1
												else:
																		snake_case								=			mid + 1
						return False


if __name__ == "__main__":
					import doctest

					doctest.testmod()


