


"""simple docstring"""
import re






def 						lowercase				(	_snake_case		: str	)	->List[Any]:
	"""simple docstring"""





	def docstring_decorator(_snake_case		: List[Any]	):
		__snake_case      :		Dict         =							fn.__doc__
		__snake_case      :		str         =							func_doc.split('''\n'''	)
		__snake_case      :		Union[str, Any]         =							0
		while i < len(_snake_case	) and re.search(r'''^\s*Examples?:\s*$'''	,  lines[i]	) is None:
			i += 1
		if i < len(_snake_case	):
			__snake_case      :		Any         =							example_docstring
			__snake_case      :		Any         =							'''\n'''.join(_snake_case	)
		else:
			raise ValueError(
			    f"""The function {fn} should have an empty 'Examples:' in its docstring as placeholder, """
			    f"""current docstring is:\n{func_doc}"""	)
		__snake_case      :		Any         =							func_doc
		return fn

	return docstring_decorator







"""simple docstring"""







from typing import TYPE_CHECKING

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


SCREAMING_SNAKE_CASE_  					= {'configuration_detr': ['DETR_PRETRAINED_CONFIG_ARCHIVE_MAP', 'DetrConfig', 'DetrOnnxConfig']}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  SCREAMING_SNAKE_CASE_  					= ['DetrFeatureExtractor']
  SCREAMING_SNAKE_CASE_  					= ['DetrImageProcessor']

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  SCREAMING_SNAKE_CASE_  					= [
      'DETR_PRETRAINED_MODEL_ARCHIVE_LIST',
      'DetrForObjectDetection',
      'DetrForSegmentation',
      'DetrModel',
      'DetrPreTrainedModel',
  ]


if TYPE_CHECKING:
  from .configuration_detr import DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DetrConfig, DetrOnnxConfig

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .feature_extraction_detr import DetrFeatureExtractor
    from .image_processing_detr import DetrImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_detr import (
        DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
        DetrForObjectDetection,
        DetrForSegmentation,
        DetrModel,
        DetrPreTrainedModel,
    )

else:
  import sys

  SCREAMING_SNAKE_CASE_  					= _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

