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 suppression also covers the cast to E[], discussed below.
  // In the backport, we don't have those cases and thus don't need this suppression.
  // We keep it to minimize diffs.
  @SuppressWarnings("unchecked")
  public static <E> ImmutableSet<E> copyOf(Collection<? extends E> elements) {
    /*
     * TODO(lowasser): consider checking for ImmutableAsList here

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). 😎...

// The complete result is equal to
// `bytes.Join(append(fullBuffers, finalFragment), nil)`, which has a
// length of `totalLen`. The result is structured in this way to allow callers
// to minimize allocations and copies.
func (b *Reader) collectFragments(delim byte) (fullBuffers [][]byte, finalFragment []byte, totalLen int, err error) {
	var frag []byte
	// Use ReadSlice to look for delim, accumulating full buffers.

   * #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<ArrayList<LockGraphNode>> acquiredLocks =
      new ThreadLocal<ArrayList<LockGraphNode>>() {
        @Override

     * ImmutableSortedSet#orderedBy}.
     */
    /*
     * TODO(cpovirk): use Object[] instead of E[] in the mainline? (The backport is different and
     * doesn't need this suppression, but we keep it to minimize diffs.) Generally be more clear
     * about when we have an Object[] vs. a Comparable[] or other array type in internalArray? If we
     * used Object[], we might be able to optimize toArray() to use clone() sometimes. (See

build:rbe_base --jobs=800
build:rbe_base --remote_executor=grpcs://remotebuildexecution.googleapis.com
build:rbe_base --remote_timeout=3600
build:rbe_base --spawn_strategy=remote,worker,standalone,local
# Attempt to minimize the amount of data transfer between bazel and the remote
# workers:
build:rbe_base --remote_download_toplevel
test:rbe_base --test_env=USER=anon

# TODO(kanglan): Check if we want to merge rbe_linux into rbe_linux_cpu.

  //      since, after all, this class is also a reentrant mutual exclusion lock!?

  /*
   * One of the key challenges of this class is to prevent lost signals, while trying hard to
   * minimize unnecessary signals. One simple and correct algorithm is to signal some other waiter
   * with a satisfied guard (if one exists) whenever any thread occupying the monitor exits the

### 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.