





# 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  __magic_name__  (				lowercase=None				)				-> str:

							"""simple docstring"""



							if subparsers is not None:
														lowercase_	:   Union[str, Any]  				=     subparsers.add_parser("""test"""				)
							else:
														lowercase_	:   Tuple  				=     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  __magic_name__  (				lowercase				)				-> Optional[Any]:

							"""simple docstring"""



							lowercase_	:   Union[str, Any]  				=     os.path.sep.join(__file__.split(os.path.sep				)[:-2] + ["""test_utils""", """scripts""", """test_script.py"""]				)

							if args.config_file is None:
														lowercase_	:   Optional[int]  				=     script_name
							else:
														lowercase_	:   Optional[Any]  				=     f"""--config_file={args.config_file} {script_name}"""

							lowercase_	:   Dict  				=     ["""accelerate-launch"""] + test_args.split()
							lowercase_	:   List[str]  				=     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  __magic_name__  (				)				-> str:

							"""simple docstring"""



							lowercase_	:   Tuple  				=     test_command_parser()
							lowercase_	:   List[Any]  				=     parser.parse_args()
							test_command(lowercase				)


if __name__ == "__main__":
							main()






UpperCAmelCase_							=				{"""a""": ["""c""", """b"""], """b""": ["""d""", """e"""], """c""": [], """d""": [], """e""": []}
UpperCAmelCase_							=				["""a""", """b""", """c""", """d""", """e"""]





def  __magic_name__  (				lowercase				,       lowercase				,       lowercase				)				-> Union[str, Any]:

							"""simple docstring"""



							lowercase_	:   Tuple  				=     start
							# add current to visited
							visited.append(lowercase				)
							lowercase_	:   Any  				=     edges[current]
							for neighbor in neighbors:
														# if neighbor not in visited, visit
														if neighbor not in visited:
																					lowercase_	:   List[str]  				=     topological_sort(lowercase				,       lowercase				,       lowercase				)
    # if all neighbors visited add current to sort
							sort.append(lowercase				)
							# if all vertices haven't been visited select a new one to visit
							if len(lowercase				) != len(lowercase				):
														for vertice in vertices:
																					if vertice not in visited:
																												lowercase_	:   Optional[Any]  				=     topological_sort(lowercase				,       lowercase				,       lowercase				)
    # return sort
							return sort


if __name__ == "__main__":
							UpperCAmelCase_							=				topological_sort("""a""", [], [])
							print(sort)