* kubeadm has removed the `.ImagePullPolicy` field in the v1alpha2 API version. Instead it's set statically to `IfNotPresent` for all required images. If you want to always pull the latest images before cluster init (as `Always` would do), run `kubeadm config images pull` before each `kubeadm init`. If you don't want the kubelet to pull any images at `kubeadm init` time, for example if you don't have an internet connection, you can also run `kubeadm config images pull` before `kubeadm...

 * by it and by its input steps.
 *
 * <h3>Ending a pipeline</h3>
 *
 * Each {@code ClosingFuture} pipeline must be ended. To end a pipeline, decide whether you want to
 * close the captured objects automatically or manually.
 *
 * <h4>Automatically closing</h4>
 *
 * You can extract a {@link Future} that represents the result of the last step in the pipeline by

// - madmin.TraceInfo type is asked by opts
func shouldTrace(trcInfo madmin.TraceInfo, opts madmin.ServiceTraceOpts) (shouldTrace bool) {
	// Reject all unwanted types.
	want := opts.TraceTypes()
	if !want.Contains(trcInfo.TraceType) {
		return false
	}

	isHTTP := trcInfo.TraceType.Overlaps(madmin.TraceInternal|madmin.TraceS3) && trcInfo.HTTP != nil

	// Check latency...

ping(decodeHex(random)) p := new(Point).ScalarBaseMult(s) want := "1d87a9026fd0126a5736" if got := hex.EncodeToString(p.Bytes()); got != want { t.Errorf("random: got %q, want %q", got, want) } zero := "00000000000000000000" s, _ = new(Scalar).SetBytesWithClamping(decodeHex(zero)) p = new(Point).ScalarBaseMult(s) want = "693e47972caf527c7883" if got := hex.EncodeToString(p.Bytes()); got != want { t.Errorf("zero: got %q, want %q", got, want) } one := "ffffffffffffffffffff" s, _ = new(Scalar).SetBy...

version kubectl's rolling-update command is compatible with Kubernetes 1.4 and higher only if you specify a new replication controller name. You will need to update to kubectl 1.4 or higher to use the rolling update command against a 1.4 cluster if you want to keep the original name, or you'll have to do two rolling updates.

If you do happen to use old version kubectl's rolling update against a 1.4 cluster, it will fail, usually with an error message that will direct you here. If you saw that...

    win_def_file = ":tensorflow_filtered_def_file",
)

# To avoid duplication, check that the C++ or python library does not depend on
# the stream executor cuda plugins. Targets that want to use cuda APIs should
# instead depend on the dummy plugins in //tensorflow/compiler/xla/tsl/platform/default/build_config
# and use header only targets.

   *
   * <p><b>{@code Stream} equivalent:</b> {@code
   * stream.filter(predicate).findFirst().orElse(defaultValue)}
   *
   * @since 7.0
   */
  // The signature we really want here is...
  //
  // <T extends @Nullable Object> @JointlyNullable T find(
  //     Iterable<? extends T> iterable,
  //     Predicate<? super T> predicate,
  //     @JointlyNullable T defaultValue);
  //

   * stream is longer, its extra elements will be ignored.
   *
   * <p>Note that if you are calling {@link Stream#forEach} on the resulting stream, you might want
   * to consider using {@link #forEachPair} instead of this method.
   *
   * <p><b>Performance note:</b> The resulting stream is not <a

    Collection<String> set = newHashSet("a", "b");
    Iterator<String> iterator = skip(set, 2).iterator();
    try {
      iterator.next();
    } catch (NoSuchElementException suppressed) {
      // We want remove() to fail even after a failed call to next().
    }
    assertThrows(IllegalStateException.class, () -> iterator.remove());
  }

  public void testSkip_allOfMutableList_modifiable() {

    List<T> list = asList(strictlyOrderedElements);

    // for use calling Collection.toArray later
    T[] emptyArray = Platform.newArray(strictlyOrderedElements, 0);

    // shoot me, but I didn't want to deal with wildcards through the whole test
    @SuppressWarnings("unchecked")
    Scenario<T> starter = new Scenario<>((Ordering<T>) ordering, list, emptyArray);
    verifyScenario(starter, 0);
  }