* #aboutToAcquire(CycleDetectingLock)} and {@link #lockStateChanged(CycleDetectingLock)}.
   */
  // This is logically a Set, but an ArrayList is used to minimize the amount
  // of allocation done on lock()/unlock().
  private static final ThreadLocal<List<LockGraphNode>> acquiredLocks =
      new ThreadLocal<List<LockGraphNode>>() {
        @Override

pandIcon","maximizeIcon","minimizeIcon","CardWidget","collapse","addClass","children","SELECTOR_CARD_BODY","slideUp","removeClass","expand","slideDown","toggle","maximize","css","height","width","transition","delay","queue","$element","dequeue","minimize","style","toggleMaximize","card","_this3","click","SELECTOR_CONTROL_SIDEBAR","SELECTOR_CONTROL_SIDEBAR_CONTENT","SELECTOR_DATA_TOGGLE","SELECTOR_HEADER","SELECTOR_FOOTER","CLASS_NAME_CONTROL_SIDEBAR_ANIMATE","CLASS_NAME_CONTROL_SIDEBAR_OPEN","CL...

    // * The element with (index == from) should be kept.
    // * Everything with (index > from) has not been checked yet.

    // Check from the end of the list backwards (minimize expected cost of
    // moving elements when remove() is called). Stop before 'from' because
    // we already know that should be kept.
    for (int n = list.size() - 1; n > from; n--) {

probably won't want to use any base image, and instead **build a container image from scratch** based on the official Python Docker image.

Taking care of the **order** of instructions in the `Dockerfile` and the **Docker cache** you can **minimize build times**, to maximize your productivity (and avoid boredom). 😎...

- Fixed SELinux warning controller not emitting...

### Scheduler
* Add the support to the scheduler for spreading pods of StatefulSets. ([#41708](https://github.com/kubernetes/kubernetes/pull/41708), [@bsalamat](https://github.com/bsalamat))

        an issue in the Keras GitHub repo.
    *   **Error such as `Cannot recognize variable...`.** The new optimizer
        requires all optimizer variables to be created at the first
        `apply_gradients()` or `minimize()` call. If your workflow calls
        optimizer to update different parts of model in multiple stages,
        please call `optimizer.build(model.trainable_variables)` before the
        training loop.

- Make error message and service event message more clear ([#86078](https://github.com/kubernetes/kubernetes/pull/86078), [@feiskyer](https://github.com/feiskyer)) [SIG Cloud Provider]
- Minimize AWS NLB health check timeout when externalTrafficPolicy set to Local ([#73363](https://github.com/kubernetes/kubernetes/pull/73363), [@kellycampbell](https://github.com/kellycampbell)) [SIG Cloud Provider]

* 🔧 Update sponsors: Add Railway. PR [#13953](https://github.com/fastapi/fastapi/pull/13953) by [@tiangolo](https://github.com/tiangolo).
* ⚒️ Update translate script, update prompt to minimize generated diff. PR [#13947](https://github.com/fastapi/fastapi/pull/13947) by [@YuriiMotov](https://github.com/YuriiMotov).

volume counts on cloud nodes, exclusive CPU cores, or unique hardware devices) could trigger the failure. While this behavior is correct it reduces the throughput of pod execution and creates user-visible warnings - [future versions of Kubernetes will minimize the likelihood users see pod failures due to this issue](https://github.com/kubernetes/kubernetes/issues/106884). In general, any automation that creates pods [must take Kubelet rejections into account](https://kubernetes.io/docs/concepts/schedu...