s: String,
    o: Any,
  ) {
    delegate!!.putValue(s, o)
  }

  override fun getValue(s: String): Any {
    return delegate!!.getValue(s)
  }

  override fun removeValue(s: String) {
    delegate!!.removeValue(s)
  }

  override fun getValueNames(): Array<String> {
    return delegate!!.valueNames
  }

  @Throws(SSLPeerUnverifiedException::class)

    throw UnsupportedOperationException()
  }

  override fun putValue(
    s: String,
    obj: Any,
  ) {
    throw UnsupportedOperationException()
  }

  override fun removeValue(s: String) {
    throw UnsupportedOperationException()
  }

  override fun getValue(s: String): Any {
    throw UnsupportedOperationException()
  }

  override fun getValueNames(): Array<String> {

    Object removedValue;

    if (previousValue == null || previousValue == PRED) {
      removedValue = null;
    } else if (previousValue instanceof PredAndSucc) {
      adjacentNodeValues.put((N) node, PRED);
      removedValue = ((PredAndSucc) previousValue).successorValue;
    } else { // successor
      adjacentNodeValues.remove(node);
      removedValue = previousValue;
    }

    *   Added `tf.distribute.experimental.coordinator.*` namespace, including
        the main API `ClusterCoordinator` for coordinating the training cluster,
        the related data structure `RemoteValue` and `PerWorkerValue`.
*   `MultiWorkerMirroredStrategy`](https://www.tensorflow.org/api_docs/python/tf/distribute/MultiWorkerMirroredStrategy)
    is now a stable API and is no longer considered experimental. Some of the