return new ActivationFrame(property, parent.map(child));
        }

        @Override
        public Activation transformActivation(Activation target) {
            stk.push(new ActivationFrame("activation", Optional.of(target)));
            try {
                return super.transformActivation(target);
            } finally {
                stk.pop();
            }
        }

# to build TensorFlow. Look at ci/official/envs to find which types of jobs
# push to the cache.  For macOS, use --config=tf_public_macos_cache
build:tf_public_cache --remote_cache="https://storage.googleapis.com/tensorflow-devinfra-bazel-cache/january2024" --remote_upload_local_results=false
# Cache pushes are limited to TF's CI system.
build:tf_public_cache_push --config=tf_public_cache --remote_upload_local_results=true --google_default_credentials

  }

  @Test fun peerHttp2ClientDisablesPush() {
    val client = false // Peer is client, so we are server.
    val settings = Settings()
    settings[Settings.ENABLE_PUSH] = 0 // The peer client disables push.
    val connection = connectWithSettings(client, settings)

    // verify the peer's settings were read and applied.
    assertThat(connection.peerSettings.getEnablePush(true)).isFalse()
  }

      // afterDone() should be generally fast and only used for cleanup work... but in theory can
      // also be recursive and create StackOverflowErrors
      future.afterDone();
      // push the current set of listeners onto next
      next = future.clearListeners(next);
      future = null;
      while (next != null) {
        Listener curr = next;
        next = next.next;
        /*

              override fun contentLength(): Long = postBytes.size.toLong()

              override fun writeTo(sink: BufferedSink) {
                sink.write(postBytes) // push bytes into the stream's buffer
                sink.flush() // Http2Connection.writeData subject to write window
                sink.close() // Http2Connection.writeData empty frame
              }
            },