




from __future__ import annotations

__UpperCamelCase   :			Dict          = 8.988E9  # units = N * m^s * C^-2





def 						__A						(      __lowerCamelCase				,     __lowerCamelCase				,     __lowerCamelCase				,     __lowerCamelCase       ) ->			dict[str, float]:
	a									=				abs(chargea * chargea       )

	if (force, chargea, chargea, distance).count(0       ) != 1:
		raise ValueError("""One and only one argument must be 0"""       )
	if distance < 0:
		raise ValueError("""Distance cannot be negative"""       )
	if force == 0:
		a									=				COULOMBS_CONSTANT * charge_product / (distance**2)
		return {"force": force}
	elif chargea == 0:
		a									=				abs(__lowerCamelCase       ) * (distance**2) / (COULOMBS_CONSTANT * chargea)
		return {"charge1": chargea}
	elif chargea == 0:
		a									=				abs(__lowerCamelCase       ) * (distance**2) / (COULOMBS_CONSTANT * chargea)
		return {"charge2": chargea}
	elif distance == 0:
		a									=				(COULOMBS_CONSTANT * charge_product / abs(__lowerCamelCase       )) ** 0.5
		return {"distance": distance}
	raise ValueError("""Exactly one argument must be 0"""       )


if __name__ == "__main__":
		import doctest

		doctest.testmod()







import warnings

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


__UpperCamelCase   :			Optional[int]          = logging.get_logger(__name__)

class 						__lowerCAmelCase      (      __magic_name__					):
							def __init__(		self		:Union[str, Any]						, *__magic_name__		:int						, **__magic_name__		:str							):







								'''simple docstring'''







								warnings.warn(
								    """The class LayoutLMv2FeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
								    """ Please use LayoutLMv2ImageProcessor instead."""						, __magic_name__						, )
								super().__init__(*__magic_name__						, **__magic_name__							)

