






# 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


a		:	Optional[Any]      					=			"Update an existing config file with the latest defaults while maintaining the old configuration."






def     lowerCamelCase__				(   __lowerCamelCase      :					str		):
  __UpperCAmelCase							:     str									=  args.config_file
  if config_file is None and Path(__lowerCamelCase		).exists():
    __UpperCAmelCase							:     Any									=  default_config_file
  elif not Path(__lowerCamelCase		).exists():
    raise ValueError(f"""The passed config file located at {config_file} doesn't exist."""		)
  __UpperCAmelCase							:     List[Any]									=  load_config_from_file(__lowerCamelCase		)

  if config_file.endswith(""".json"""		):
    config.to_json_file(__lowerCamelCase		)
  else:
    config.to_yaml_file(__lowerCamelCase		)
  return config_file






def     lowerCamelCase__				(   __lowerCamelCase      :					Dict  ,		__lowerCamelCase      :					Dict		):
  __UpperCAmelCase							:     int									=  parser.add_parser("""update"""  ,		parents=__lowerCamelCase  ,		help=__lowerCamelCase  ,		formatter_class=__lowerCamelCase		)
  parser.add_argument(
      """--config_file"""  ,		default=__lowerCamelCase  ,		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=__lowerCamelCase		)
  return parser







def     lowerCamelCase__				(   __lowerCamelCase      :					Union[str, Any]		):
  __UpperCAmelCase							:     Union[str, Any]									=  update_config(__lowerCamelCase		)
  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		:	Any      					=			{
    "configuration_deta": ["DETA_PRETRAINED_CONFIG_ARCHIVE_MAP", "DetaConfig"],
}

try:
       if not is_vision_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a		:	Optional[int]      					=			["DetaImageProcessor"]

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a		:	Tuple      					=			[
           "DETA_PRETRAINED_MODEL_ARCHIVE_LIST",
           "DetaForObjectDetection",
           "DetaModel",
           "DetaPreTrainedModel",
       ]


if TYPE_CHECKING:
       from .configuration_deta import DETA_PRETRAINED_CONFIG_ARCHIVE_MAP, DetaConfig

       try:
              if not is_vision_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .image_processing_deta import DetaImageProcessor

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_deta import (
                  DETA_PRETRAINED_MODEL_ARCHIVE_LIST,
                  DetaForObjectDetection,
                  DetaModel,
                  DetaPreTrainedModel,
              )

else:
       import sys

       a		:	Any      					=			_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


