code: def test_inverse_singular():
      singular = np.array(
          [[1, 0, 0]] + [[0, 1, 0]] * 2, dtype=config.floatX
      )
      a = matrix()
      f = function([a], matrix_inverse(a))
      with pytest.raises(np.linalg.LinAlgError):
          f(singular)
  
imports: import numpy
  import numpy.linalg
  import pytest
  from numpy import inf
  from numpy.testing import assert_array_almost_equal
  import pytensor
  from pytensor import function
  from pytensor.configdefaults import config
  from pytensor.tensor.math import _allclose
  from pytensor.tensor.nlinalg import SVD, Eig, MatrixInverse, TensorInv, det, eig, eigh, lstsq, matrix_dot, matrix_inverse, matrix_power, norm, pinv, qr, slogdet, svd, tensorinv, tensorsolve, trace
  from pytensor.tensor.type import lmatrix, lscalar, matrix, scalar, tensor3, tensor4, vector
  from tests import unittest_tools
label_desc: Use image node_id 6 for calling a global function with example usage: test_inverse_singular() without return types