






from __future__ import annotations

# Define the Gravitational Constant G and the function
__snake_case			:			Union[str, Any]			   =   6.6743e-11  # unit of G : m^3 * kg^-1 * s^-2







def 		_UpperCamelCase      (			UpperCamelCase_				:    Optional[Any]			,				UpperCamelCase_				:    Dict			,				UpperCamelCase_				:    Tuple			,				UpperCamelCase_				:    Dict						)     ->      dict[str, float]:

						"""simple docstring"""



						lowerCAmelCase__			  =  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:
												lowerCAmelCase__			  =  GRAVITATIONAL_CONSTANT * product_of_mass / (distance**2)
												return {"force": force}
						elif mass_a == 0:
												lowerCAmelCase__			  =  (force) * (distance**2) / (GRAVITATIONAL_CONSTANT * mass_a)
												return {"mass_1": mass_a}
						elif mass_a == 0:
												lowerCAmelCase__			  =  (force) * (distance**2) / (GRAVITATIONAL_CONSTANT * mass_a)
												return {"mass_2": mass_a}
						elif distance == 0:
												lowerCAmelCase__			  =  (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 doctest

import projectq
from projectq.ops import H, Measure

def 					SCREAMING_SNAKE_CASE							(   __UpperCamelCase)			->     int:
     a      =      quantum_engine.allocate_qubit()
     H | qubit
     Measure | qubit
     return int(__UpperCamelCase)


if __name__ == "__main__":
   doctest.testmod()

   # initialises a new quantum backend
   lowercase__      :			Optional[int]           =					projectq.MainEngine()

   # Generate a list of 10 random numbers
   lowercase__      :			List[str]           =					[get_random_number(quantum_engine) for _ in range(10)]

   # Flushes the quantum engine from memory
   quantum_engine.flush()

   print("Random numbers", random_numbers_list)

