code: def branin_z_x(z, x):
      """Branin with Multi-fidelity."""
      b0 = 5.1 / (4 * np.pi**2)
      c0 = 5 / np.pi
      t0 = 1 / (8 * np.pi)
      delta_b = 0.01
      delta_c = 0.1
      delta_t = -0.005
      # Set parameters
      a = 1
      b = b0 - (1.0 - z[0]) * delta_b
      c = c0 - (1.0 - z[1]) * delta_c
      r = 6
      s = 10
      t = t0 - (1.0 - z[2]) * delta_t
      return branin_with_params(x, a, b, c, r, s, t)
  
imports: import numpy
label_desc: Use image node_id 2 for calling a global function with example usage: branin_z_x(z, x) and returns: branin_with_params