
"""simple docstring"""






from pathlib import Path

import torch

from ...utils import is_npu_available, is_xpu_available
from .config_args import ClusterConfig, default_json_config_file
from .config_utils import SubcommandHelpFormatter


__SCREAMING_SNAKE_CASE							=     'Create a default config file for Accelerate with only a few flags set.'




def       A_  (				__lowercase="no"						,	__lowercase = default_json_config_file						,	__lowercase = False	):
 UpperCamelCase_     :					Optional[int]   	=Path(SCREAMING_SNAKE_CASE_	)
 path.parent.mkdir(parents=SCREAMING_SNAKE_CASE_						,	exist_ok=SCREAMING_SNAKE_CASE_	)
 if path.exists():
  print(
      F'''Configuration already exists at {save_location}, will not override. Run `accelerate config` manually or pass a different `save_location`.'''	)
  return False
 UpperCamelCase_     :					List[str]   	=mixed_precision.lower()
 if mixed_precision not in ["no", "fp16", "bf16", "fp8"]:
  raise ValueError(
      F'''`mixed_precision` should be one of \'no\', \'fp16\', \'bf16\', or \'fp8\'. Received {mixed_precision}'''	)
 UpperCamelCase_     :					Union[str, Any]   	={
     'compute_environment': 'LOCAL_MACHINE',
     'mixed_precision': mixed_precision,
 }
 if torch.cuda.is_available():
  UpperCamelCase_     :					Union[str, Any]   	=torch.cuda.device_count()
  UpperCamelCase_     :					Union[str, Any]   	=num_gpus
  UpperCamelCase_     :					List[str]   	=False
  if num_gpus > 1:
   UpperCamelCase_     :					Optional[int]   	='MULTI_GPU'
  else:
   UpperCamelCase_     :					Optional[int]   	='NO'
 elif is_xpu_available() and use_xpu:
  UpperCamelCase_     :					Dict   	=torch.xpu.device_count()
  UpperCamelCase_     :					Tuple   	=num_xpus
  UpperCamelCase_     :					int   	=False
  if num_xpus > 1:
   UpperCamelCase_     :					List[str]   	='MULTI_XPU'
  else:
   UpperCamelCase_     :					List[Any]   	='NO'
 elif is_npu_available():
  UpperCamelCase_     :					List[str]   	=torch.npu.device_count()
  UpperCamelCase_     :					Optional[int]   	=num_npus
  UpperCamelCase_     :					Tuple   	=False
  if num_npus > 1:
   UpperCamelCase_     :					int   	='MULTI_NPU'
  else:
   UpperCamelCase_     :					Tuple   	='NO'
 else:
  UpperCamelCase_     :					int   	=0
  UpperCamelCase_     :					List[str]   	=True
  UpperCamelCase_     :					Tuple   	=1
  UpperCamelCase_     :					Tuple   	='NO'
 UpperCamelCase_     :					Tuple   	=ClusterConfig(**SCREAMING_SNAKE_CASE_	)
 config.to_json_file(SCREAMING_SNAKE_CASE_	)
 return path




def       A_  (				__lowercase						,	__lowercase	):
 UpperCamelCase_     :					List[str]   	=parser.add_parser('default'						,	parents=SCREAMING_SNAKE_CASE_						,	help=SCREAMING_SNAKE_CASE_						,	formatter_class=SCREAMING_SNAKE_CASE_	)
 parser.add_argument(
     '--config_file'						,	default=SCREAMING_SNAKE_CASE_						,	help=(
         'The path to use to store the config file. Will default to a file named default_config.yaml in the cache '
         'location, which is the content of the environment `HF_HOME` suffixed with \'accelerate\', or if you don\'t have '
         'such an environment variable, your cache directory (\'~/.cache\' or the content of `XDG_CACHE_HOME`) suffixed '
         'with \'huggingface\'.'
     )						,	dest='save_location'						,	)

 parser.add_argument(
     '--mixed_precision'						,	choices=['no', 'fp16', 'bf16']						,	type=SCREAMING_SNAKE_CASE_						,	help='Whether or not to use mixed precision training. '
     'Choose between FP16 and BF16 (bfloat16) training. '
     'BF16 training is only supported on Nvidia Ampere GPUs and PyTorch 1.10 or later.'						,	default='no'						,	)
 parser.set_defaults(func=SCREAMING_SNAKE_CASE_	)
 return parser





def       A_  (				__lowercase	):
 UpperCamelCase_     :					Tuple   	=write_basic_config(args.mixed_precision						,	args.save_location	)
 if config_file:
  print(F'''accelerate configuration saved at {config_file}'''	)






'''simple docstring'''
def 			lowerCamelCase(							SCREAMING_SNAKE_CASE_       ,SCREAMING_SNAKE_CASE_     )		->		tuple[float, float]:

			# Check if the input is valid
			if not len(SCREAMING_SNAKE_CASE_     ) == len(SCREAMING_SNAKE_CASE_     ) == 3:
						raise ValueError('Please enter a valid equation.'     )
			if equationa[0] == equationa[1] == equationa[0] == equationa[1] == 0:
						raise ValueError('Both a & b of two equations can\'t be zero.'     )

			# Extract the coefficients
			A_		, A_		, A_									= equationa
			A_		, A_		, A_									= equationa

			# Calculate the determinants of the matrices
			A_									= aa * ba - aa * ba
			A_									= ca * ba - ca * ba
			A_									= aa * ca - aa * ca

			# Check if the system of linear equations has a solution (using Cramer's rule)
			if determinant == 0:
						if determinant_x == determinant_y == 0:
									raise ValueError('Infinite solutions. (Consistent system)'     )
						else:
									raise ValueError('No solution. (Inconsistent system)'     )
			else:
						if determinant_x == determinant_y == 0:
									# Trivial solution (Inconsistent system)
									return (0.0, 0.0)
						else:
									A_									= determinant_x / determinant
									A_									= determinant_y / determinant
									# Non-Trivial Solution (Consistent system)
									return (x, y)




