
"""simple docstring"""





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

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



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



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

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


if __name__ == "__main__":
							import doctest

							doctest.testmod()






"""simple docstring"""





import warnings

from ...utils import logging
from .image_processing_yolos import YolosImageProcessor


__magic_name__       =			logging.get_logger(__name__)
class 						SCREAMING_SNAKE_CASE_ (						__a ):




		"""simple docstring"""





		def __init__(     self							,  *lowerCAmelCase__							,  **lowerCAmelCase__):
				warnings.warn(
				    """The class YolosFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
				    """ use YolosImageProcessor instead."""							,  lowerCAmelCase__							,  )
				super().__init__(*lowerCAmelCase__							,  **lowerCAmelCase__)




