input: Write a python function to find the optimal point of the function f(x) = 2x^2 - 4x + 2 within the range of 0 to 4.
  assert find_optimal_point() == (2, 2)
  assert find_optimal_point() != (0, 2)
  assert find_optimal_point() == (2, 2)
output: def find_optimal_point():
      import scipy.optimize as opt
      
      def f(x):
          return 2*x**2 - 4*x + 2
      
      result = opt.minimize_scalar(f, bounds=(0, 4), method='bounded')
      optimal_x = result.x
      optimal_y = f(optimal_x)
      
      return (optimal_x, optimal_y)