code: def test_eval(self):
      A = matrix(dtype=self.dtype)
      assert [e.eval({A: [[1]]}) for e in self.op(A)] == [
          [1.0],
          [[1.0]],
      ]
      x = [[0, 1], [1, 0]]
      w, v = (e.eval({A: x}) for e in self.op(A))
      assert_array_almost_equal(np.dot(x, v), w * v)
  
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 3 for calling the TestEig obj's underlying member method code with example usage: obj.test_eval() without return types