






"""simple docstring"""



# Copyright 2022 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.

from pathlib import Path

from .config_args import default_config_file, load_config_from_file
from .config_utils import SubcommandHelpFormatter


_UpperCamelCase		:  Optional[int]						=		'Update an existing config file with the latest defaults while maintaining the old configuration.'
def 						_SCREAMING_SNAKE_CASE			(   __snake_case      :  Optional[int]   ):





  '''simple docstring'''





  lowercase							   =	args.config_file
  if config_file is None and Path(__snake_case   ).exists():
    lowercase							   =	default_config_file
  elif not Path(__snake_case   ).exists():
    raise ValueError(f'The passed config file located at {config_file} doesn\'t exist.'   )
  lowercase							   =	load_config_from_file(__snake_case   )

  if config_file.endswith('.json'   ):
    config.to_json_file(__snake_case   )
  else:
    config.to_yaml_file(__snake_case   )
  return config_file
def 						_SCREAMING_SNAKE_CASE			(   __snake_case      :  Optional[int]		, __snake_case      :  Dict   ):





  '''simple docstring'''





  lowercase							   =	parser.add_parser('update'		, parents=__snake_case		, help=__snake_case		, formatter_class=__snake_case   )
  parser.add_argument(
      '--config_file'		, default=__snake_case		, help=(
          'The path to the config file to update. 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\'.'
      )		, )

  parser.set_defaults(func=__snake_case   )
  return parser



def 						_SCREAMING_SNAKE_CASE			(   __snake_case      :  List[str]   ):





  '''simple docstring'''





  lowercase							   =	update_config(__snake_case   )
  print(f'Sucessfully updated the configuration file at {config_file}.'   )










"""simple docstring"""



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_UpperCamelCase		:  str						=		{
    'configuration_wav2vec2_conformer': [
        'WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'Wav2Vec2ConformerConfig',
    ],
}


try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _UpperCamelCase		:  str						=		[
        'WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
        'Wav2Vec2ConformerForAudioFrameClassification',
        'Wav2Vec2ConformerForCTC',
        'Wav2Vec2ConformerForPreTraining',
        'Wav2Vec2ConformerForSequenceClassification',
        'Wav2Vec2ConformerForXVector',
        'Wav2Vec2ConformerModel',
        'Wav2Vec2ConformerPreTrainedModel',
    ]

if TYPE_CHECKING:
    from .configuration_wavaveca_conformer import (
        WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        WavaVecaConformerConfig,
    )

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_wavaveca_conformer import (
            WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            WavaVecaConformerForAudioFrameClassification,
            WavaVecaConformerForCTC,
            WavaVecaConformerForPreTraining,
            WavaVecaConformerForSequenceClassification,
            WavaVecaConformerForXVector,
            WavaVecaConformerModel,
            WavaVecaConformerPreTrainedModel,
        )

else:
    import sys

    _UpperCamelCase		:  Union[str, Any]						=		_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)


