input: Write a python function to find the minimum of the objective function using scipy.optimize.minimize.
  assert minimize_objective_function([0, 0]) == [1.0, 4.0]
  assert minimize_objective_function([2, 2]) == [1.0, 4.0]
  assert minimize_objective_function([-1, -1]) == [1.0, 4.0]
output: from scipy.optimize import minimize
  
  def minimize_objective_function(x0):
      def objective_function(x):
          return (x[0] - 1)**2 + (x[1] - 4)**2
  
      result = minimize(objective_function, x0)
      return result.x.tolist()