


'''simple docstring'''

def lowerCamelCase      (      lowerCAmelCase    :     list		,		lowerCAmelCase    :     list		):





	"""simple docstring"""







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

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





def lowerCamelCase      (      lowerCAmelCase    :     list[float]		):





	"""simple docstring"""







	if point:
		if isinstance(lowerCAmelCase		,		lowerCAmelCase		):
			for item in point:
				if not isinstance(lowerCAmelCase		,		(int, float)		):
					__magic_name__	:   Optional[int]					     =					(
					    'Expected a list of numbers as input, found '
					    f'{type(lowerCAmelCase		).__name__}'
					)
					raise TypeError(lowerCAmelCase		)
		else:
			__magic_name__	:   Optional[Any]					     =					f'Expected a list of numbers as input, found {type(lowerCAmelCase		).__name__}'
			raise TypeError(lowerCAmelCase		)
	else:
		raise ValueError('Missing an input'		)





def lowerCamelCase      (      lowerCAmelCase    :     list		,		lowerCAmelCase    :     list		):





	"""simple docstring"""







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

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


if __name__ == "__main__":
							import doctest

							doctest.testmod()



'''simple docstring'''

import warnings

from ...utils import logging
from .image_processing_beit import BeitImageProcessor


lowerCAmelCase				:Tuple        =      logging.get_logger(__name__)
class _lowerCamelCase	(						lowercase__							):



		'''simple docstring'''







		def __init__( self		:						Any  ,					*_A		:						List[Any]  ,					**_A		:						str      )  ->			None:
			warnings.warn(
			    'The class BeitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
			    ' use BeitImageProcessor instead.'  ,					_A  ,					)
			super().__init__(*_A  ,					**_A      )