op = strings.Replace(op, "-fm", "", 1)
	return op
}

// If trace is enabled, execute the request if it is traced by other handlers
// otherwise, generate a trace event with request information but no response.
func httpTracerMiddleware(h http.Handler) http.Handler {
	return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
		// Setup a http request response recorder - this is needed for

    return nullptr;
  }
  tensorflow::TensorHandle* handle =
      tensorflow::TensorHandleFromInterface(unwrapped_handle);

  if (handle->Type() != tensorflow::TensorHandle::LOCAL) {
    status->status = tensorflow::errors::InvalidArgument(
        "TFE_TensorHandleDevicePointer may not be called on a ",
        handle->TypeString(), " tensor handle.");
    return nullptr;

```
Client #1596980209979 left the chat
```

/// tip

The app above is a minimal and simple example to demonstrate how to handle and broadcast messages to several WebSocket connections.

But keep in mind that, as everything is handled in memory, in a single list, it will only work while the process is running, and will only work with a single process.

   *
   * @param executor Executor to use to dispatch events. It is the caller's responsibility to shut
   *     down the executor after the last event has been posted to this event bus.
   * @param subscriberExceptionHandler Handler used to handle exceptions thrown from subscribers.
   *     See {@link SubscriberExceptionHandler} for more information.
   * @since 16.0
   */

		addr := l.Addr()
		hosts = append(hosts, "http://"+addr.String())
		listeners = append(listeners, l)
	}
	return
}

func startHTTPServer(listener net.Listener, handler http.Handler) (server *httptest.Server) {
	server = httptest.NewUnstartedServer(handler)
	server.Config.Addr = listener.Addr().String()
	server.Listener = listener
	server.Start()
	return server
}

func dummyRequestValidate(r *http.Request) error {

pkg log/slog, type Handler interface, Enabled(context.Context, Level) bool #56345
pkg log/slog, type Handler interface { Enabled, Handle, WithAttrs, WithGroup } #56345
pkg log/slog, type Handler interface, Handle(context.Context, Record) error #56345
pkg log/slog, type Handler interface, WithAttrs([]Attr) Handler #56345
pkg log/slog, type Handler interface, WithGroup(string) Handler #56345

		}

		// call the final handler
		f2(w, r)
	}

	// Enable compression of responses based on presence of flag.
	if !handlerFlags.Has(noGZFlag) {
		handler = gzipHandler(handler)
	}

	return handler
}

// adminAPIHandlers provides HTTP handlers for MinIO admin API.
type adminAPIHandlers struct{}

// registerAdminRouter - Add handler functions for each service REST API routes.

    tensorflow::ImmediateExecutionTensorHandle* unwrapped_handle =
        tensorflow::unwrap(handles[i]);
    if (tensorflow::CustomDeviceTensorHandle::classof(unwrapped_handle)) {
      // One of the inputs we're trying to pack is on a custom device. We'll let
      // the first custom device we see handle all of the packing.
      auto* custom_device_handle =

  virtual ImmediateExecutionContext* GetContext() const = 0;

  // Following two methods are used to support custom device.
  // Return true if the inputs contain custom device tensor handle. It means
  // that the argument need to be handled by a custom device.
  virtual bool HasCustomDeviceInput() const = 0;

  virtual const tensorflow::OpDef* OpDef() const = 0;

      MemoryReleaser memory_releaser, void* memory_releaser_arg) = 0;

  // Create a handle to wrap and manage a Tensor
  virtual ImmediateExecutionTensorHandle* CreateLocalHandle(
      AbstractTensorInterface* t) = 0;
  // Copy the handle to another device.
  virtual ImmediateExecutionTensorHandle* CopyTensorHandleToDevice(
      ImmediateExecutionTensorHandle* handle, const char* device_name,
      absl::Status* status) = 0;