You can ask them to provide a [minimal, reproducible, example](https://stackoverflow.com/help/minimal-reproducible-example), that you can **copy-paste** and run locally to see the same error or behavior they are seeing, or to understand their use case better.

* If you are feeling too generous, you can try to **create an example** like that yourself, just based on the description of the problem. Just keep in mind that this might take a lot of time and it might be better to ask them to clarify...

  }

  @J2ktIncompatible
  @GwtIncompatible // QueuingRemovalListener
  public void testRemovalNotification_clear() throws InterruptedException {
    // If a clear() happens while a computation is pending, we should not get a removal
    // notification.

    AtomicBoolean shouldWait = new AtomicBoolean(false);
    CountDownLatch computingLatch = new CountDownLatch(1);
    CacheLoader<String, String> computingFunction =

  }

  @J2ktIncompatible
  @GwtIncompatible // QueuingRemovalListener
  public void testRemovalNotification_clear() throws InterruptedException {
    // If a clear() happens while a computation is pending, we should not get a removal
    // notification.

    AtomicBoolean shouldWait = new AtomicBoolean(false);
    CountDownLatch computingLatch = new CountDownLatch(1);
    CacheLoader<String, String> computingFunction =

 *       (However, cancellation can prevent an <i>unstarted</i> task from running.) Therefore, the
 *       next task will wait for any running callable (or pending {@code Future} returned by an
 *       {@code AsyncCallable}) to complete, without interrupting it (and without calling {@code
 *       cancel} on the {@code Future}). So beware: <i>Even if you cancel every preceding {@code

### Run Automatically on Startup { #run-automatically-on-startup }

In general, you will probably want the server program (e.g. Uvicorn) to be started automatically on server startup, and without needing any **human intervention**, to have a process always running with your API (e.g. Uvicorn running your FastAPI app).

### Separate Program { #separate-program }

    @Override
    public void notifyNewValue(@Nullable V newValue) {
      if (newValue != null) {
        // The pending load was clobbered by a manual write.
        // Unblock all pending gets, and have them return the new value.
        set(newValue);
      } else {
        // The pending load was removed. Delay notifications until loading completes.
        oldValue = unset();
      }

                                          void* device_info) {
  TF_SetStatus(status, TF_UNIMPLEMENTED,
               "This custom device does not support packing tensors.");
  return nullptr;
}
}  // namespace

extern "C" {

bool TFE_IsCustomDevice(TFE_Context* ctx, const char* device_name) {
  return tensorflow::unwrap(ctx)->IsCustomDevice(device_name);

  String enumSize;

  @Param({"0.2", "0.8"})
  float hitRate;

  // We could avoid the raw type here by initializing this with a ternary (? SmallEnum.class : ...).
  // However, we end up needing a raw type in getIfPresent, as discussed there.
  @SuppressWarnings("rawtypes")
  private Class<? extends Enum> enumType;

  private String[] sampleData;

  @BeforeExperiment

    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 =
          tensorflow::down_cast<tensorflow::CustomDeviceTensorHandle*>(
              unwrapped_handle);
      tensorflow::ImmediateExecutionTensorHandle* result;

- Updates that remove remaining `metadata.finalizers` from  an object that is pending deletion (non-nil metadata.deletionTimestamp) and has no graceful deletion pending (nil or 0 metadata.deletionGracePeriodSeconds) now results in immediate deletion of the object. ([#77952](https://github.com/kubernetes/kubernetes/pull/77952), [@liggitt](https://github.com/liggitt))