* Note that NumPy's type promotion rules have been changed(See [NEP 50](https://numpy.org/neps/nep-0050-scalar-promotion.html#nep50)for details). This may change the precision at which computations happen, leading either to type errors or to numerical changes to results.

.concat([fragments[divider].split(splitRegex)[0]]),\n        [fragments[divider].split(splitRegex)[1]].concat(\n          fragments.slice(divider + 1)\n        ),\n      ]\n    : [fragments];\n\n  // Convert the values with units to absolute pixels to allow our computations\n  ops = ops.map((op, index) => {\n    // Most of the units rely on the orientation of the popper\n    const measurement = (index === 1 ? !useHeight : useHeight)\n      ? 'height'\n      : 'width';\n    let mergeWithPrevious = false;\n    return...

  - `metric_computation_duration_seconds`: The time(seconds) that the HPA controller takes to calculate one metric.
  - `metric_computation_total`: Number of metric computations. ([#116326](https://github.com/kubernetes/kubernetes/pull/116326), [@sanposhiho](https://github.com/sanposhiho)) [SIG Apps, Autoscaling and Instrumentation]

abstract: TensorFlow is a machine learning system that operates at large scale and in heterogeneous environments. TensorFlow uses dataflow graphs to represent computation, shared state, and the operations that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility...

       * to a valid final state ({@link #COMPLETED}, {@link #CANCELLED}, or {@link #INTERRUPTED}).
       *
       * @param v the value to set as the result of the computation.
       * @param t the exception to set as the result of the computation.
       * @param finalState the state to transition to.
       */
      private boolean complete(@Nullable V v, @Nullable Throwable t, int finalState) {

   * The listener will run when the {@code Future}'s computation is {@linkplain Future#isDone()
   * complete} or, if the computation is already complete, immediately.
   *
   * <p>There is no guaranteed ordering of execution of listeners, but any listener added through
   * this method is guaranteed to be called once the computation is complete.
   *

X0 // H * 2 PSHUFD $0xff, X0, X11 MOVOU X0, X12 PSRAL $0x1f, X11 PAND X14, X11 PSRLL $0x1f, X12 PSLLDQ $0x04, X12 PSLLL $0x01, X0 PXOR X11, X0 PXOR X12, X0 // Karatsuba pre-computations MOVOU X0, 224(DI) PSHUFD $0x4e, X0, X1 PXOR X0, X1 MOVOU X1, 240(DI) MOVOU X0, X2 MOVOU X1, X3 // Now prepare powers of H and pre-computations for them MOVQ $0x00000007, AX initLoop: MOVOU X2, X11 MOVOU X2, X12 MOVOU X3, X13 PCLMULQDQ $0x00, X0, X11 PCLMULQDQ $0x11, X0, X12 PCLMULQDQ $0x00, X1, X13 PXOR X11, X13 PXOR...

   *   <li>To get uninterruptibility and remove checked exceptions, use {@link
   *       Futures#getUnchecked}.
   * </ul>
   *
   * @throws ExecutionException if the computation threw an exception
   * @throws CancellationException if the computation was cancelled
   */
  @CanIgnoreReturnValue
  @ParametricNullness
  public static <V extends @Nullable Object> V getUninterruptibly(Future<V> future)

 * asynchronously.
 *
 * <p>To attach to a {@link ListenableFuture} use {@link Futures#addCallback}.
 *
 * @author Anthony Zana
 * @since 10.0
 */
@GwtCompatible
public interface FutureCallback<V extends @Nullable Object> {
  /** Invoked with the result of the {@code Future} computation when it is successful. */
  void onSuccess(@ParametricNullness V result);

   * The listener will run when the {@code Future}'s computation is {@linkplain Future#isDone()
   * complete} or, if the computation is already complete, immediately.
   *
   * <p>There is no guaranteed ordering of execution of listeners, but any listener added through
   * this method is guaranteed to be called once the computation is complete.
   *