code: def test_for_interior_convergence(self):
      H = [
          [1.812159, 0.82687265, 0.21838879, -0.52487006, 0.25436988],
          [0.82687265, 2.66380283, 0.31508988, -0.40144163, 0.08811588],
          [0.21838879, 0.31508988, 2.38020726, -0.3166346, 0.27363867],
          [
              -0.52487006,
              -0.40144163,
              -0.3166346,
              1.61927182,
              -0.42140166,
          ],
          [0.25436988, 0.08811588, 0.27363867, -0.42140166, 1.33243101],
      ]
  
      g = [0.75798952, 0.01421945, 0.33847612, 0.83725004, -0.47909534]
  
      # Solve Subproblem
      subprob = IterativeSubproblem(
          x=0,
          fun=lambda x: 0,
          jac=lambda x: np.array(g),
          hess=lambda x: np.array(H),
      )
      p, hits_boundary = subprob.solve(1.1)
  
      assert_array_almost_equal(
          p,
          [
              -0.68585435,
              0.1222621,
              -0.22090999,
              -0.67005053,
              0.31586769,
          ],
      )
      assert_array_almost_equal(hits_boundary, False)
      assert_array_almost_equal(subprob.lambda_current, 0)
      assert_array_almost_equal(subprob.niter, 1)
  
imports: from __future__ import division, print_function, absolute_import
  import numpy
  from scipy.optimize._trustregion_exact import estimate_smallest_singular_value, singular_leading_submatrix, IterativeSubproblem
  from scipy.linalg import svd, get_lapack_funcs, det, cho_factor, cho_solve, qr, eigvalsh, eig, norm
  from numpy.testing import assert_, assert_array_equal, assert_equal, assert_array_almost_equal, assert_array_less
label_desc: Use image node_id 3 for calling the TestIterativeSubproblem obj's underlying member method code with example usage: obj.test_for_interior_convergence() without return types