
'''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


a_											=						logging.get_logger(__name__)






@dataclass
class    UpperCAmelCase_				(	snake_case__					):
 UpperCAmelCase_		    =						[
     """no_inference""",
     """no_cuda""",
     """no_tpu""",
     """no_speed""",
     """no_memory""",
     """no_env_print""",
     """no_multi_process""",
 ]





 def __init__(    self ,       **lowercase_):
     for deprecated_arg in self.deprecated_args:
         if deprecated_arg in kwargs:
             snake_case_ :    Optional[Any]     			=						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_ :    List[str]     			=						kwargs.pop("torchscript" ,       self.torchscript)
     snake_case_ :    List[str]     			=						kwargs.pop("torch_xla_tpu_print_metrics" ,       self.torch_xla_tpu_print_metrics)
     snake_case_ :    Optional[int]     			=						kwargs.pop("fp16_opt_level" ,       self.fpaa_opt_level)
     super().__init__(**lowercase_)

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





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





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





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





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





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






'''simple docstring'''
from __future__ import annotations

from cmath import sqrt

def 						UpperCamelCase_     (	__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE       ):
    """simple docstring"""






    if a == 0:
        raise ValueError("Coefficient 'a' must not be zero."       )
    snake_case_ :    Union[str, Any]     			=						b * b - 4 * a * c

    snake_case_ :    List[str]     			=						(-b + sqrt(__SCREAMING_SNAKE_CASE       )) / (2 * a)
    snake_case_ :    int     			=						(-b - sqrt(__SCREAMING_SNAKE_CASE       )) / (2 * a)

    return (
        root_a.real if not root_a.imag else root_a,
        root_a.real if not root_a.imag else root_a,
    )

def 						UpperCamelCase_     (	):
    """simple docstring"""






    snake_case_			, snake_case_ :    str     			=						quadratic_roots(a=5,		b=6,		c=1       )
    print(f'The solutions are: {solutiona} and {solutiona}'       )


if __name__ == "__main__":
  main()




