
import argparse
import os

from accelerate.test_utils import execute_subprocess_async




def     lowercase__						(					lowerCAmelCase				:					List[str]=None ) ->      Any:






    """simple docstring"""




    if subparsers is not None:
        UpperCAmelCase									=					subparsers.add_parser('test' )
    else:
        UpperCAmelCase									=					argparse.ArgumentParser('Accelerate test command' )

    parser.add_argument(
        '--config_file' ,				default=lowercase_ ,				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\'.'
        ) ,				)

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




def     lowercase__						(					lowerCAmelCase				:					int ) ->      List[Any]:






    """simple docstring"""




    UpperCAmelCase									=					os.path.sep.join(__file__.split(os.path.sep )[:-2] + ['test_utils', 'scripts', 'test_script.py'] )

    if args.config_file is None:
        UpperCAmelCase									=					script_name
    else:
        UpperCAmelCase									=					F"--config_file={args.config_file} {script_name}"

    UpperCAmelCase									=					["accelerate-launch"] + test_args.split()
    UpperCAmelCase									=					execute_subprocess_async(lowercase_ ,				env=os.environ.copy() )
    if result.returncode == 0:
        print('Test is a success! You are ready for your distributed training!' )




def     lowercase__						(					) ->      Optional[Any]:






    """simple docstring"""




    UpperCAmelCase									=					test_command_parser()
    UpperCAmelCase									=					parser.parse_args()
    test_command(lowercase_ )


if __name__ == "__main__":
   main()





"""simple docstring"""

from __future__ import annotations

import numpy as np




def     lowercase__						(					lowerCAmelCase				:					list[float] ) ->      Dict:






    """simple docstring"""




    return np.maximum(0 ,				lowerCAmelCase )


if __name__ == "__main__":
   print(np.array(relu([-1, 0, 5])))  # --> [0, 0, 5]



