- Fixed a data race in kubelet image manager that can cause static pod workers to silently stop working. ([#88915](https://github.com/kubernetes/kubernetes/pull/88915), [@roycaihw](https://github.com/roycaihw)) [SIG Node]

$breakpoints) {\n      @if $columns > 0 {\n        @for $i from 1 through $columns {\n          .g-col#{$infix}-#{$i} {\n            grid-column: auto / span $i;\n          }\n        }\n\n        // Start with `1` because `0` is and invalid value.\n        // Ends with `$columns - 1` because offsetting by the width of an entire row isn't possible.\n        @for $i from 1 through ($columns - 1) {\n          .g-start#{$infix}-#{$i} {\n            grid-column-start: $i;\n          }\n        }\n      }\n...

func TestGetObjectInlineNotInline(t *testing.T) {
	ctx, cancel := context.WithCancel(t.Context())
	defer cancel()

	// Create a backend with 4 disks named disk{1...4}, this name convention
	// because we will unzip some object data from a sample archive.
	const numDisks = 4
	path := t.TempDir()

	var fsDirs []string
	for i := 1; i <= numDisks; i++ {

            public V next() {
              if (!hasNext()) {
                throw new NoSuchElementException();
              }
              i++;
              /*
               * The cast is safe because of the containsKey check in hasNext(). (That means it's
               * unsafe under concurrent modification, but all bets are off then, anyway.)
               */
              return uncheckedCastNullableTToT(map.get(key));

            public V next() {
              if (!hasNext()) {
                throw new NoSuchElementException();
              }
              i++;
              /*
               * The cast is safe because of the containsKey check in hasNext(). (That means it's
               * unsafe under concurrent modification, but all bets are off then, anyway.)
               */
              return uncheckedCastNullableTToT(map.get(key));

#include "tensorflow/core/platform/types.h"
#include "tensorflow/core/public/release_version.h"
#include "tensorflow/core/public/session.h"

// The implementation below is at the top level instead of the
// brain namespace because we are defining 'extern "C"' functions.
using tensorflow::AttrValueMap;
using tensorflow::DataType;
using tensorflow::ExtendSessionGraphHelper;
using tensorflow::FullTypeDef;
using tensorflow::Graph;

  upgrading an existing pre-v1.6.4 cluster to Kubernetes v1.6.5 will cause an unintentional
  [overwrite of manual edits to GCP Health Checks](https://github.com/kubernetes/ingress/issues/842)
  managed by the GLBC Ingress Controller. This can cause the health checks to start failing,
  requiring you to reapply the manual edits.

        } catch (RuntimeException e) {
            // Unwrap IOException from RuntimeException
            if (e.getCause() instanceof IOException) {
                throw (IOException) e.getCause();
            }
            throw new IOException("Connection failed", e);
        } catch (Exception e) {
            // Handle any other exceptions from circuit breaker

        Comparator<? super V> valueComparator) {
      @SuppressWarnings({"rawtypes", "unchecked"})
      Entry<Object, V>[] entries = new Entry[size];
      for (int i = 0; i < size; i++) {
        // requireNonNull is safe because the first `2*size` elements have been filled in.
        Object key = requireNonNull(alternatingKeysAndValues[2 * i]);
        @SuppressWarnings("unchecked")

        *   (since v2.7) Stateful ops used in `tf.data.Dataset`
        *   (since v2.7) `tf.convert_to_tensor` when fed with (sparse)
            `tf.IndexedSlices` (because it uses `tf.math.unsorted_segment_sum`)
        *   (since v2.7) `tf.gather` backprop (because `tf.convert_to_tensor`
            reduces `tf.gather`'s (sparse) `tf.IndexedSlices` gradients into its
            dense `params` input)