code: def test_svd_maxiter():
      # check that maxiter works as expected
      x = hilbert(6)
      # ARPACK shouldn't converge on such an ill-conditioned matrix with just
      # one iteration
      assert_raises(ArpackNoConvergence, svds, x, 1, maxiter=1, ncv=3)
      # but 100 iterations should be more than enough
      u, s, vt = svds(x, 1, maxiter=100, ncv=3)
      assert_allclose(s, [1.7], atol=0.5)
  
imports: import threading
  import itertools
  import sys
  import platform
  import numpy
  from numpy.testing import assert_allclose, assert_array_almost_equal_nulp, assert_equal, assert_array_equal, suppress_warnings
  from pytest import raises
  import pytest
  from numpy import dot, conj, random
  from scipy.linalg import eig, eigh, hilbert, svd
  from scipy.sparse import csc_matrix, csr_matrix, isspmatrix, diags, rand
  from scipy.sparse.linalg import LinearOperator, aslinearoperator
  from scipy.sparse.linalg.eigen.arpack import eigs, eigsh, svds, ArpackNoConvergence, arpack
  from scipy._lib._gcutils import assert_deallocated, IS_PYPY
label_desc: Use image node_id 25 for calling a global function with example usage: test_svd_maxiter() without return types