






import argparse
import os
import platform

import numpy as np
import psutil
import torch

from accelerate import __version__ as version
from accelerate.commands.config import default_config_file, load_config_from_file

from ..utils import is_npu_available, is_xpu_available






def 						a    (		lowerCamelCase_=None       ):






				'''simple docstring'''
				if subparsers is not None:
								lowercase__     				=    subparsers.add_parser('''env'''       )
				else:
								lowercase__     				=    argparse.ArgumentParser('''Accelerate env command'''       )

				parser.add_argument(
				    '''--config_file'''	,     default=__UpperCamelCase	,     help='''The config file to use for the default values in the launching script.'''       )

				if subparsers is not None:
								parser.set_defaults(func=__UpperCamelCase       )
				return parser






def 						a    (		lowerCamelCase_       ):






				'''simple docstring'''
				lowercase__     				=    torch.__version__
				lowercase__     				=    torch.cuda.is_available()
				lowercase__     				=    is_xpu_available()
				lowercase__     				=    is_npu_available()

				lowercase__     				=    '''Not found'''
				# Get the default from the config file.
				if args.config_file is not None or os.path.isfile(__UpperCamelCase       ):
								lowercase__     				=    load_config_from_file(args.config_file       ).to_dict()

				lowercase__     				=    {
				    '''`Accelerate` version''': version,
				    '''Platform''': platform.platform(),
				    '''Python version''': platform.python_version(),
				    '''Numpy version''': np.__version__,
				    '''PyTorch version (GPU?)''': F"""{pt_version} ({pt_cuda_available})""",
				    '''PyTorch XPU available''': str(__UpperCamelCase       ),
				    '''PyTorch NPU available''': str(__UpperCamelCase       ),
				    '''System RAM''': F"""{psutil.virtual_memory().total / 1024 ** 3:.2f} GB""",
				}
				if pt_cuda_available:
								lowercase__     				=    torch.cuda.get_device_name()

				print('''\nCopy-and-paste the text below in your GitHub issue\n'''       )
				print('''\n'''.join([F"""- {prop}: {val}""" for prop, val in info.items()]       )       )

				print('''- `Accelerate` default config:''' if args.config_file is None else '''- `Accelerate` config passed:'''       )
				lowercase__     				=    (
				    '''\n'''.join([F"""\t- {prop}: {val}""" for prop, val in accelerate_config.items()]       )
				    if isinstance(__UpperCamelCase	,     __UpperCamelCase       )
				    else F"""\t{accelerate_config}"""
				)
				print(__UpperCamelCase       )

				lowercase__     				=    accelerate_config

				return info






def 						a    (		):






				'''simple docstring'''
				lowercase__     				=    env_command_parser()
				lowercase__     				=    parser.parse_args()
				env_command(__UpperCamelCase       )
				return 0


if __name__ == "__main__":
	raise SystemExit(main())












from __future__ import annotations






def 						a    (		lowerCamelCase_       ):






				'''simple docstring'''
				lowercase__     				=    0.00
				lowercase__     				=    0
				for resistor in resistors:
								if resistor <= 0:
												lowercase__     				=    F"""Resistor at index {index} has a negative or zero value!"""
												raise ValueError(lowerCamelCase_       )
								first_sum += 1 / float(lowerCamelCase_       )
								index += 1
				return 1 / first_sum






def 						a    (		lowerCamelCase_       ):






				'''simple docstring'''
				lowercase__     				=    0.00
				lowercase__     				=    0
				for resistor in resistors:
								sum_r += resistor
								if resistor < 0:
												lowercase__     				=    F"""Resistor at index {index} has a negative value!"""
												raise ValueError(lowerCamelCase_       )
								index += 1
				return sum_r


if __name__ == "__main__":
							import doctest

							doctest.testmod()




