code: def test_make_periodic_input_warping_twodim(self):
      iw = kernels.make_periodic_input_warping(2, 0, True)
      np.testing.assert_allclose(
          jnp.array(
              [
                  [1, 0, 0, 0],
                  [-1, 0, 1, 1],
                  [1, 0, 2, 4],
                  [-1, 0, 3, 9],
                  [1, 0, 4, 16],
              ]
          ),
          iw(jnp.array([[0, 0], [1, 1], [2, 4], [3, 9], [4, 16]])),
          atol=1e-6,
      )
      iw = kernels.make_periodic_input_warping(4, 1, True)
      np.testing.assert_allclose(
          jnp.array(
              [
                  [0, 1, 0, 0],
                  [1, 0, 1, 1],
                  [2, 1, 0, 4],
                  [3, 0, 1, 9],
                  [4, 1, 0, 16],
              ]
          ),
          iw(jnp.array([[0, 0], [1, 1], [2, 4], [3, 9], [4, 16]])),
          atol=1e-6,
      )
      iw = kernels.make_periodic_input_warping(2, 0, False)
      np.testing.assert_allclose(
          jnp.array(
              [[1, 0, 0], [-1, 0, 1], [1, 0, 4], [-1, 0, 9], [1, 0, 16]]
          ),
          iw(jnp.array([[0, 0], [1, 1], [2, 4], [3, 9], [4, 16]])),
          atol=1e-6,
      )
  
imports: from absl.testing import parameterized
  import jax
  import jax.numpy
  import numpy
  from tensorflow_probability.python.experimental.autobnn import kernels
  from tensorflow_probability.python.experimental.autobnn import util
  from tensorflow_probability.substrates.jax.distributions import lognormal
  from absl.testing import absltest
label_desc: Use image node_id 8 for calling the KernelsTest obj's underlying member method code with example usage: obj.test_make_periodic_input_warping_twodim() without return types