


# 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							:							str    							=					'Update an existing config file with the latest defaults while maintaining the old configuration.'

def       _a	(					SCREAMING_SNAKE_CASE						:					List[str]  ):







 """simple docstring"""



 UpperCamelCase__       :     Dict 							= args.config_file
 if config_file is None and Path(_A  ).exists():
  UpperCamelCase__       :     Dict 							= default_config_file
 elif not Path(_A  ).exists():
  raise ValueError(F"The passed config file located at {config_file} doesn\'t exist."  )
 UpperCamelCase__       :     List[str] 							= load_config_from_file(_A  )

 if config_file.endswith('''.json'''  ):
  config.to_json_file(_A  )
 else:
  config.to_yaml_file(_A  )
 return config_file

def       _a	(					SCREAMING_SNAKE_CASE						:					Union[str, Any]     ,			SCREAMING_SNAKE_CASE						:					Optional[Any]  ):







 """simple docstring"""



 UpperCamelCase__       :     Optional[int] 							= parser.add_parser('''update'''     ,			parents=_A     ,			help=_A     ,			formatter_class=_A  )
 parser.add_argument(
     '''--config_file'''     ,			default=_A     ,			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=_A  )
 return parser






def       _a	(					SCREAMING_SNAKE_CASE						:					Tuple  ):







 """simple docstring"""



 UpperCamelCase__       :     Any 							= update_config(_A  )
 print(F"Sucessfully updated the configuration file at {config_file}."  )





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
    is_vision_available,
)


__A	:   Optional[int]	=					{
    'configuration_mobilevitv2': [
        'MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'MobileViTV2Config',
        'MobileViTV2OnnxConfig',
    ],
}


try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__A	:   Tuple	=					[
	    'MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'MobileViTV2ForImageClassification',
	    'MobileViTV2ForSemanticSegmentation',
	    'MobileViTV2Model',
	    'MobileViTV2PreTrainedModel',
	]

if TYPE_CHECKING:
	from .configuration_mobilevitva import (
	    MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    MobileViTVaConfig,
	    MobileViTVaOnnxConfig,
	)

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_mobilevitva import (
		    MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
		    MobileViTVaForImageClassification,
		    MobileViTVaForSemanticSegmentation,
		    MobileViTVaModel,
		    MobileViTVaPreTrainedModel,
		)

else:
	import sys

	__A	:   List[str]	=					_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
