code: def test_failure_to_run_iterations():
      """Check that the code exits gracefully without breaking. Issue #10974.
      The code may or not issue a warning, filtered out. Issue #15935, #17954.
      """
      rnd = np.random.RandomState(0)
      X = rnd.standard_normal((100, 10))
      A = X @ X.T
      Q = rnd.standard_normal((X.shape[0], 4))
      eigenvalues, _ = lobpcg(A, Q, maxiter=40, tol=1e-12)
      assert np.max(eigenvalues) > 0
  
imports: import itertools
  import platform
  import sys
  import pytest
  import numpy
  from numpy import ones, r_, diag
  from numpy.testing import assert_almost_equal, assert_equal, assert_allclose, assert_array_less
  from scipy import sparse
  from scipy.linalg import eig, eigh, toeplitz, orth
  from scipy.sparse import spdiags, diags, eye, csr_matrix
  from scipy.sparse.linalg import eigs, LinearOperator
  from scipy.sparse.linalg._eigen.lobpcg import lobpcg
  from scipy.sparse.linalg._eigen.lobpcg.lobpcg import _b_orthonormalize
  from scipy._lib._util import np_long, np_ulong
label_desc: Use image node_id 16 for calling a global function with example usage: test_failure_to_run_iterations() without return types