





from __future__ import annotations

# Define the Gravitational Constant G and the function
lowerCAmelCase_												=       6.6_743e-11  # unit of G : m^3 * kg^-1 * s^-2






def   lowerCamelCase_		(       _UpperCamelCase				,       _UpperCamelCase				,       _UpperCamelCase				,       _UpperCamelCase				)	->		dict[str, float]:






				"""simple docstring"""


				snake_case_		:					int			    =						mass_a * mass_a

				if (force, mass_a, mass_a, distance).count(0				) != 1:
								raise ValueError('''One and only one argument must be 0'''				)
				if force < 0:
								raise ValueError('''Gravitational force can not be negative'''				)
				if distance < 0:
								raise ValueError('''Distance can not be negative'''				)
				if mass_a < 0 or mass_a < 0:
								raise ValueError('''Mass can not be negative'''				)
				if force == 0:
								snake_case_		:					int			    =						GRAVITATIONAL_CONSTANT * product_of_mass / (distance**2)
								return {"force": force}
				elif mass_a == 0:
								snake_case_		:					List[Any]			    =						(force) * (distance**2) / (GRAVITATIONAL_CONSTANT * mass_a)
								return {"mass_1": mass_a}
				elif mass_a == 0:
								snake_case_		:					int			    =						(force) * (distance**2) / (GRAVITATIONAL_CONSTANT * mass_a)
								return {"mass_2": mass_a}
				elif distance == 0:
								snake_case_		:					Tuple			    =						(GRAVITATIONAL_CONSTANT * product_of_mass / (force)) ** 0.5
								return {"distance": distance}
				raise ValueError('''One and only one argument must be 0'''				)


# Run doctest
if __name__ == "__main__":
	import doctest

	doctest.testmod()







import warnings

from ...utils import logging
from .image_processing_mobilenet_va import MobileNetVaImageProcessor


lowerCAmelCase_												=       logging.get_logger(__name__)



class       __lowerCAmelCase (    _a  ):






			def __init__(self      ,							*__magic_name__      ,							**__magic_name__					)  ->     None:


							'''simple docstring'''



							warnings.warn(
							    '''The class MobileNetV2FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
							    ''' Please use MobileNetV2ImageProcessor instead.'''      ,							__magic_name__      ,							)
							super().__init__(*__magic_name__      ,							**__magic_name__					)
