input: def optimize_objective_function():
      """
      Write a python program to optimize the given objective function using the scipy.optimize.minimize function.
      The objective function should be defined and the optimization problem should be set up with initial guess x0.
      
      Example:
      >>> optimize_objective_function()
      [1.0, 1.0, 1.0]
      """
output:     import numpy as np
      from scipy.optimize import minimize
  
      def objective_function(x):
          return (x[0] - 1)**2 + (x[1] - 1)**2 + (x[2] - 1)**2
  
      x0 = np.array([0.0, 0.0, 0.0])
      result = minimize(objective_function, x0)
  
      return result.x