assertThat(limiter.getRate()).isEqualTo(5.0);
    limiter.setRate(10.0);
    assertThat(limiter.getRate()).isEqualTo(10.0);

    assertThrows(IllegalArgumentException.class, () -> limiter.setRate(0.0));
    assertThrows(IllegalArgumentException.class, () -> limiter.setRate(-10.0));
    assertThrows(IllegalArgumentException.class, () -> limiter.setRate(Double.NaN));
  }

  public void testAcquireParameterValidation() {

    assertThat(limiter.getRate()).isEqualTo(5.0);
    limiter.setRate(10.0);
    assertThat(limiter.getRate()).isEqualTo(10.0);

    assertThrows(IllegalArgumentException.class, () -> limiter.setRate(0.0));
    assertThrows(IllegalArgumentException.class, () -> limiter.setRate(-10.0));
    assertThrows(IllegalArgumentException.class, () -> limiter.setRate(Double.NaN));
  }

  public void testAcquireParameterValidation() {

    *   Update `tf.function`'s `experimental_relax_shapes` to handle composite
        tensors appropriately.
    *   Optimize `tf.function` invocation, by removing redundant list converter.
    *   `tf.function` will retrace when called with a different variable instead
        of simply using the `dtype` & `shape`.
    *   [Improve support](https://github.com/tensorflow/tensorflow/issues/33862)