


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 SCREAMING_SNAKE_CASE    (	lowercase_=None						)       ->	List[Any]:



       """simple docstring"""

       if subparsers is not None:
              A__							=   subparsers.add_parser('''env'''						)
       else:
              A__							=   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 SCREAMING_SNAKE_CASE    (	lowercase_						)       ->	Dict:



       """simple docstring"""

       A__							=   torch.__version__
       A__							=   torch.cuda.is_available()
       A__							=   is_xpu_available()
       A__							=   is_npu_available()

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

       A__							=   {
           '''`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 / 1_024 ** 3:.2f} GB""",
       }
       if pt_cuda_available:
              A__							=   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:'''						)
       A__							=   (
           '''\n'''.join([f"""\t- {prop}: {val}""" for prop, val in accelerate_config.items()]						)
           if isinstance(_UpperCamelCase			,    _UpperCamelCase						)
           else f"""\t{accelerate_config}"""
       )
       print(_UpperCamelCase						)

       A__							=   accelerate_config

       return info







def SCREAMING_SNAKE_CASE    (	)       ->	int:



       """simple docstring"""

       A__							=   env_command_parser()
       A__							=   parser.parse_args()
       env_command(_UpperCamelCase						)
       return 0


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








from __future__ import annotations

from typing import Any







def SCREAMING_SNAKE_CASE    (	lowercase_						)       ->	None:



       """simple docstring"""

       create_state_space_tree(lowercase_			,    []			,    0						)







def SCREAMING_SNAKE_CASE    (	lowercase_			,    lowercase_			,    lowercase_						)       ->	None:



       """simple docstring"""

       if index == len(lowercase_						):
              print(lowercase_						)
              return

       create_state_space_tree(lowercase_			,    lowercase_			,    index + 1						)
       current_subsequence.append(sequence[index]						)
       create_state_space_tree(lowercase_			,    lowercase_			,    index + 1						)
       current_subsequence.pop()


if __name__ == "__main__":
  _lowerCamelCase     :		list[Any]								=       [3, 1, 2, 4]
  generate_all_subsequences(seq)

  seq.clear()
  seq.extend(["""A""", """B""", """C"""])
  generate_all_subsequences(seq)


