//    (hypothetical) unsafe read by our caller. Note: adding 'volatile' does not fix this issue,
  //    it would just add an edge such that if done() observed non-null, then it would also
  //    definitely observe all earlier writes, but we still have no guarantee that done() would see
  //    the initial write (just stronger guarantees if it does).
  //

          return true;
        }
      }

      return false;
    }

    /**
     * Performs routine cleanup following a read. Normally cleanup happens during writes. If cleanup
     * is not observed after a sufficient number of reads, try cleaning up from the read thread.
     */
    void postReadCleanup() {
      if ((readCount.incrementAndGet() & DRAIN_THRESHOLD) == 0) {
        cleanUp();
      }

* Make addon-manager cross-platform and use it with hyperkube ([#25631](https://github.com/kubernetes/kubernetes/pull/25631), [@luxas](https://github.com/luxas))
* kubelet: Optionally, have kubelet exit if lock file contention is observed, using --exit-on-lock-contention flag ([#25596](https://github.com/kubernetes/kubernetes/pull/25596), [@derekparker](https://github.com/derekparker))

		writeErrorResponse(ctx, w, errorCodes.ToAPIErr(ErrEntityTooLarge), r.URL)
		return
	}

	// We have to copy metadata only if source and destination are same.
	// this changes for encryption which can be observed below.
	if cpSrcDstSame {
		srcInfo.metadataOnly = true
	}

	var chStorageClass bool
	if dstSc != "" && dstSc != srcInfo.StorageClass {
		chStorageClass = true
		srcInfo.metadataOnly = false

    }
  }

  @Test
  fun interceptorGetsHttp2() {
    platform.assumeHttp2Support()
    enableProtocol(Protocol.HTTP_2)

    // Capture the protocol as it is observed by the interceptor.
    val protocolRef = AtomicReference<Protocol?>()
    val interceptor =
      Interceptor { chain: Interceptor.Chain ->
        protocolRef.set(chain.connection()!!.protocol())

Guillaume Nodet <******@****.***> 1729859506 +0200

* Fix a scalability issue where high rates of event writes degraded etcd performance. ([#64539](https://github.com/kubernetes/kubernetes/pull/64539), [@ccding](https://github.com/ccding))
* fixes a memory leak in the kube-controller-manager observed when large numbers of pods with tolerations are created/deleted ([#65339](https://github.com/kubernetes/kubernetes/pull/65339), [@liggitt](https://github.com/liggitt))

* fixes a memory leak in the kube-controller-manager observed when large numbers of pods with tolerations are created/deleted ([#65339](https://github.com/kubernetes/kubernetes/pull/65339), [@liggitt](https://github.com/liggitt))

## Known Issues

// TF_ExecuteOperation will, if in eager mode, execute, if in graph mode, maybe
// capture some inputs and then add a node in the graph. The output tensors are
// returned through the provided TF_OutputList.
// Any active tape will observe the effects of this execution.
void TF_ExecuteOperation(TF_AbstractOp* op, int num_inputs,
                         TF_AbstractTensor* const* inputs, TF_OutputList* o,
                         TF_Status* s);