


"""simple docstring"""







# 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      (    A_=None	)->				str:
  '''simple docstring'''







  if subparsers is not None:
    a						:		Dict											=      subparsers.add_parser("test"	)
  else:
    a						:		Optional[int]											=      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 					lowercase      (    A_	)->				List[Any]:
  '''simple docstring'''







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

  if args.config_file is None:
    a						:		Tuple											=      script_name
  else:
    a						:		List[Any]											=      F'''--config_file={args.config_file} {script_name}'''

  a						:		str											=      ["accelerate-launch"] + test_args.split()
  a						:		Optional[int]											=      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 					lowercase      (    )->				Any:
  '''simple docstring'''







  a						:		Optional[int]											=      test_command_parser()
  a						:		Optional[int]											=      parser.parse_args()
  test_command(A_	)


if __name__ == "__main__":
 main()










"""simple docstring"""







def 					lowercase      (    A_  ,       A_	)->				float:
  '''simple docstring'''







  def get_matched_characters(A_  ,       A_	) -> str:
    a						:		Optional[int]											=      []
    a						:		List[Any]											=      min(len(_stra	)  ,       len(_stra	)	) // 2
    for i, l in enumerate(_stra	):
      a						:		int											=      int(max(0  ,       i - limit	)	)
      a						:		Optional[int]											=      int(min(i + limit + 1  ,       len(_stra	)	)	)
      if l in _stra[left:right]:
        matched.append(A_	)
        a						:		int											=      F'''{_stra[0:_stra.index(A_	)]} {_stra[_stra.index(A_	) + 1:]}'''

    return "".join(A_	)

  # matching characters
  a						:		Tuple											=      get_matched_characters(A_  ,       A_	)
  a						:		str											=      get_matched_characters(A_  ,       A_	)
  a						:		List[str]											=      len(A_	)

  # transposition
  a						:		Union[str, Any]											=      (
      len([(ca, ca) for ca, ca in zip(A_  ,       A_	) if ca != ca]	) // 2
  )

  if not match_count:
    a						:		Tuple											=      0.0
  else:
    a						:		List[str]											=      (
        1
        / 3
        * (
            match_count / len(A_	)
            + match_count / len(A_	)
            + (match_count - transpositions) / match_count
        )
    )

  # common prefix up to 4 characters
  a						:		Union[str, Any]											=      0
  for ca, ca in zip(stra[:4]  ,       stra[:4]	):
    if ca == ca:
      prefix_len += 1
    else:
      break

  return jaro + 0.1 * prefix_len * (1 - jaro)


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 print(jaro_winkler("""hello""", """world"""))






