
from __future__ import annotations

_lowerCamelCase       :				Tuple       =			8.988E9  # units = N * m^s * C^-2






def        a_		(       __lowercase   :	float       ,					__lowercase   :	float       ,					__lowercase   :	float       ,					__lowercase   :	float ) ->  dict[str, float]:
			_snake_case		=			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:
						_snake_case		=			COULOMBS_CONSTANT * charge_product / (distance**2)
						return {"force": force}
			elif chargea == 0:
						_snake_case		=			abs(__lowercase ) * (distance**2) / (COULOMBS_CONSTANT * chargea)
						return {"charge1": chargea}
			elif chargea == 0:
						_snake_case		=			abs(__lowercase ) * (distance**2) / (COULOMBS_CONSTANT * chargea)
						return {"charge2": chargea}
			elif distance == 0:
						_snake_case		=			(COULOMBS_CONSTANT * charge_product / abs(__lowercase )) ** 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_chinese_clip import ChineseCLIPImageProcessor


_lowerCamelCase       :				Dict       =			logging.get_logger(__name__)




class    SCREAMING_SNAKE_CASE__     (	UpperCAmelCase					):





	'''simple docstring'''



	def __init__(  self	:    Tuple			,  *lowercase	:    Optional[int]			,  **lowercase	:    Any	):


				'''simple docstring'''


				warnings.warn(
				    'The class ChineseCLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
				    ' Please use ChineseCLIPImageProcessor instead.'			,  lowercase			,  )
				super().__init__(*lowercase			,  **lowercase	)