code: def hartmann6_4_alpha(x, alpha):
      """Hartmann function in 3D."""
      pt = np.array(
          [
              x[1][1] / 10.0,
              (x[0][0] - 224) / 100.0,
              x[3][0] / 92.0,
              x[2][0],
              x[3][1] / 92.0,
              x[1][0] / 10.0,
          ]
      )
      A = np.array(
          [
              [10, 3, 17, 3.5, 1.7, 8],
              [0.05, 10, 17, 0.1, 8, 14],
              [3, 3.5, 1.7, 10, 17, 8],
              [17, 8, 0.05, 10, 0.1, 14],
          ],
          dtype=np.float64,
      )
      P = 1e-4 * np.array(
          [
              [1312, 1696, 5569, 124, 8283, 5886],
              [2329, 4135, 8307, 3736, 1004, 9991],
              [2348, 1451, 3522, 2883, 3047, 6650],
              [4047, 8828, 8732, 5743, 1091, 381],
          ],
          dtype=np.float64,
      )
      log_sum_terms = (A * (P - pt) ** 2).sum(axis=1)
      return alpha.dot(np.exp(-log_sum_terms))
  
imports: import numpy
label_desc: Use image node_id 2 for calling a global function with example usage: hartmann6_4_alpha(x, alpha) and returns: alpha