*   TF Core:
    *   `tf.constant` always creates CPU tensors irrespective of the current
        device context.
    *   Eager `TensorHandles` maintain a list of mirrors for any copies to local
        or remote devices. This avoids any redundant copies due to op execution.
    *   For `tf.Tensor` & `tf.Variable`, `.experimental_ref()` is no longer
        experimental and is available as simply `.ref()`.

    // the output, so the input must be at least 32 bits, since the output has to be that long
    assertPutString(new char[] {'p', HashTestUtils.randomLowSurrogate(new Random())});
  }

  public void testPutStringWithHighSurrogate() {
    // we pad because the dummy hash function we use to test this, merely copies the input into

            MANY_VALUES, Collections.nCopies(MANY_VALUES_COUNT, OTHER_ONE_VALUE));
    horizontalValuesAccumulatorByAddAllPartitionedPairedStats =
        createPartitionedFilledPairedStatsAccumulator(
            MANY_VALUES, Collections.nCopies(MANY_VALUES_COUNT, OTHER_ONE_VALUE), 2);

    verticalValuesAccumulator =
        createFilledPairedStatsAccumulator(

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