


# Copyright 2021 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

from accelerate.test_utils import execute_subprocess_async
def        UpperCamelCase_(				_A   :Any=None  )->		int:
			if subparsers is not None:
						UpperCamelCase__					=       subparsers.add_parser("test"  )
			else:
						UpperCamelCase__					=       argparse.ArgumentParser("Accelerate test command"  )

			parser.add_argument(
			    "--config_file"				,     default=_A				,     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=_A  )
			return parser
def        UpperCamelCase_(				_A   :Any  )->		List[str]:
			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(_A				,     env=os.environ.copy()  )
			if result.returncode == 0:
						print("Test is a success! You are ready for your distributed training!"  )
def        UpperCamelCase_(				)->		Optional[int]:
			UpperCamelCase__					=       test_command_parser()
			UpperCamelCase__					=       parser.parse_args()
			test_command(_A  )


if __name__ == "__main__":
		main()






from __future__ import annotations
def        UpperCamelCase_(				_A   :list[int]				,     _A   :int  )->		list[int]:
			UpperCamelCase__					=       0
			UpperCamelCase__					=       len(_A  ) - 1

			while i < j:
						if nums[i] + nums[j] == target:
									return [i, j]
						elif nums[i] + nums[j] < target:
									UpperCamelCase__					=       i + 1
						else:
									UpperCamelCase__					=       j - 1

			return []


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						print(f'''{two_pointer([2, 7, 1_1, 1_5], 9) = }''')


