



# 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 					__snake_case     (      _UpperCAmelCase=None    ):
    if subparsers is not None:
        __a							=    subparsers.add_parser('''test'''    )
    else:
        __a							=    argparse.ArgumentParser('''Accelerate test command'''    )

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





def 					__snake_case     (      _UpperCAmelCase    ):
    __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(_UpperCAmelCase       ,			env=os.environ.copy()    )
    if result.returncode == 0:
        print('''Test is a success! You are ready for your distributed training!'''    )





def 					__snake_case     (      ):
    __a							=    test_command_parser()
    __a							=    parser.parse_args()
    test_command(_UpperCAmelCase    )


if __name__ == "__main__":
 main()










from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__snake_case						:Tuple						=					{
    '''configuration_luke''': ['''LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''LukeConfig'''],
    '''tokenization_luke''': ['''LukeTokenizer'''],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __snake_case						:Optional[int]						=					[
     '''LUKE_PRETRAINED_MODEL_ARCHIVE_LIST''',
     '''LukeForEntityClassification''',
     '''LukeForEntityPairClassification''',
     '''LukeForEntitySpanClassification''',
     '''LukeForMultipleChoice''',
     '''LukeForQuestionAnswering''',
     '''LukeForSequenceClassification''',
     '''LukeForTokenClassification''',
     '''LukeForMaskedLM''',
     '''LukeModel''',
     '''LukePreTrainedModel''',
 ]


if TYPE_CHECKING:
 from .configuration_luke import LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP, LukeConfig
 from .tokenization_luke import LukeTokenizer

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_luke import (
      LUKE_PRETRAINED_MODEL_ARCHIVE_LIST,
      LukeForEntityClassification,
      LukeForEntityPairClassification,
      LukeForEntitySpanClassification,
      LukeForMaskedLM,
      LukeForMultipleChoice,
      LukeForQuestionAnswering,
      LukeForSequenceClassification,
      LukeForTokenClassification,
      LukeModel,
      LukePreTrainedModel,
  )

else:
 import sys

 __snake_case						:Dict						=					_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





