






# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

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 				snake_case  (     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=lowerCamelCase				,  help="""The config file to use for the default values in the launching script."""					)

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





def 				snake_case  (     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(lowerCamelCase					):
		__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(lowerCamelCase					),
	    """PyTorch NPU available""": str(lowerCamelCase					),
	    """System RAM""": F'{psutil.virtual_memory().total / 1_024 ** 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(lowerCamelCase				,  lowerCamelCase					)
	    else F'\t{accelerate_config}'
	)
	print(lowerCamelCase					)

	__lowercase             =  accelerate_config

	return info





def 				snake_case  (     ):




	'''simple docstring'''







	__lowercase             =  env_command_parser()
	__lowercase             =  parser.parse_args()
	env_command(lowerCamelCase					)
	return 0


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









from __future__ import annotations





def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







	if len(lowerCamelCase					) < 2:
		raise ValueError("""Monogons and Digons are not polygons in the Euclidean space"""					)
	if any(i <= 0 for i in nums					):
		raise ValueError("""All values must be greater than 0"""					)
	__lowercase             =  nums.copy()
	copy_nums.sort()
	return copy_nums[-1] < sum(copy_nums[:-1]					)


if __name__ == "__main__":
						import doctest

						doctest.testmod()

