


# 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 							__lowercase     (				__lowerCAmelCase							:       Union[str, Any]=None     ):
							if subparsers is not None:
														a__    =  subparsers.add_parser('test'     )
							else:
														a__    =  argparse.ArgumentParser('Accelerate test command'     )

							parser.add_argument(
							    '--config_file'      ,					default=__lowerCAmelCase      ,					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=__lowerCAmelCase     )
							return parser






def 							__lowercase     (				__lowerCAmelCase							:       Optional[int]     ):
							a__    =  os.path.sep.join(__file__.split(os.path.sep     )[:-2] + ['test_utils', 'scripts', 'test_script.py']     )

							if args.config_file is None:
														a__    =  script_name
							else:
														a__    =  F'--config_file={args.config_file} {script_name}'

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






def 							__lowercase     (				):
							a__    =  test_command_parser()
							a__    =  parser.parse_args()
							test_command(__lowerCAmelCase     )


if __name__ == "__main__":
						main()








# Copyright 2023 The HuggingFace Inc. 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 re

from ..utils import cached_file


# docstyle-ignore
snake_case							: Dict      =   '''
Human: <<task>>

Assistant: '''


snake_case							: Optional[int]      =   '''huggingface-tools/default-prompts'''
snake_case							: Tuple      =   {'''chat''': '''chat_prompt_template.txt''', '''run''': '''run_prompt_template.txt'''}






def 							__lowercase     (				__lowerCAmelCase							:       Any      ,					__lowerCAmelCase							:       Union[str, Any]      ,					__lowerCAmelCase							:       Any="run"     ):
							if prompt_or_repo_id is None:
														a__    =  DEFAULT_PROMPTS_REPO

							# prompt is considered a repo ID when it does not contain any kind of space
							if re.search('\\s'      ,					__lowerCAmelCase     ) is not None:
														return prompt_or_repo_id

							a__    =  cached_file(
							    __lowerCAmelCase      ,					PROMPT_FILES[mode]      ,					repo_type='dataset'      ,					user_agent={'agent': agent_name}     )
							with open(__lowerCAmelCase      ,					'r'      ,					encoding='utf-8'     ) as f:
														return f.read()




