




from __future__ import annotations

# Define the Gravitational Constant G and the function
lowercase__      :			Union[str, Any]           =					6.6_743E-11  # unit of G : m^3 * kg^-1 * s^-2

def 					SCREAMING_SNAKE_CASE							(   __UpperCamelCase		,					__UpperCamelCase		,					__UpperCamelCase		,					__UpperCamelCase)			->     dict[str, float]:
     a      =      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:
          a      =      GRAVITATIONAL_CONSTANT * product_of_mass / (distance**2)
          return {"force": force}
     elif mass_a == 0:
          a      =      (force) * (distance**2) / (GRAVITATIONAL_CONSTANT * mass_a)
          return {"mass_1": mass_a}
     elif mass_a == 0:
          a      =      (force) * (distance**2) / (GRAVITATIONAL_CONSTANT * mass_a)
          return {"mass_2": mass_a}
     elif distance == 0:
          a      =      (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


lowercase__      :			Union[str, Any]           =					logging.get_logger(__name__)




class 			a__       (					UpperCamelCase__      ):







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



          '''simple docstring'''



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

