



'''simple docstring'''





import warnings

from ...utils import logging
from .image_processing_deformable_detr import DeformableDetrImageProcessor


__a  			=						logging.get_logger(__name__)







class        UpperCAmelCase_			(			UpperCAmelCase__      ):
    """simple docstring"""







    def __init__(       self   :	List[Any]					,	*snake_case_   :	Dict					,	**snake_case_   :	Dict		):
          warnings.warn(
              """The class DeformableDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
              """ Please use DeformableDetrImageProcessor instead."""					,	__lowercase					,	)
          super().__init__(*__lowercase					,	**__lowercase		)






def 		lowerCamelCase__       (						_A	,      _A				):







	'''simple docstring'''





	_validate_point(_A				)
	_validate_point(_A				)
	if len(_A				) != len(_A				):
		raise ValueError("Both points must be in the same n-dimensional space"				)

	return float(sum(abs(a - b				) for a, b in zip(_A	,      _A				)				)				)


def 		lowerCamelCase__       (						_A				):







	'''simple docstring'''





	if point:
		if isinstance(_A	,      _A				):
			for item in point:
				if not isinstance(_A	,      (int, float)				):
					snake_case_						       =	(
					    "Expected a list of numbers as input, found "
					    f"{type(_A				).__name__}"
					)
					raise TypeError(_A				)
		else:
			snake_case_						       =	f"Expected a list of numbers as input, found {type(_A				).__name__}"
			raise TypeError(_A				)
	else:
		raise ValueError("Missing an input"				)


def 		lowerCamelCase__       (						_A	,      _A				):







	'''simple docstring'''





	_validate_point(_A				)
	_validate_point(_A				)
	if len(_A				) != len(_A				):
		raise ValueError("Both points must be in the same n-dimensional space"				)

	return float(sum(abs(x - y				) for x, y in zip(_A	,      _A				)				)				)


if __name__ == "__main__":
		import doctest

		doctest.testmod()
