






"""simple docstring"""

import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


lowercase    			=       logging.get_logger(__name__)

class 						A_							(      snake_case_  ):







				def __init__(							self							:						List[Any]						,    *__lowerCamelCase							:						str						,    **__lowerCamelCase							:						List[Any]	)				->					None:
										warnings.warn(
										    "The class LayoutLMv2FeatureExtractor is deprecated and will be removed in version 5 of Transformers."
										    " Please use LayoutLMv2ImageProcessor instead."						,    __lowerCamelCase						,    )
										super().__init__(*__lowerCamelCase						,    **__lowerCamelCase	)











"""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__            =     (
																														    "Expected a list of numbers as input, found "
																														    f'''{type(__lowerCamelCase   ).__name__}'''
																														)
																														raise TypeError(__lowerCamelCase   )
												else:
																		__magic_name__            =     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()



