public String toString() {
          throw new AssertionFailedError();
        }
      };

  private static final String FORMAT = "I ate %s pies.";

  private static void checkMessage(Exception e) {
    assertThat(e).hasMessageThat().isEqualTo("I ate 5 pies.");
  }

        SID[] sids = new SID[] { mockSid1, mockSid2, mockSid3 };

        doNothing().when(sidResolver).resolveSids(any(CIFSContext.class), anyString(), any(SID[].class), eq(1), eq(2));

        assertDoesNotThrow(() -> sidResolver.resolveSids(mockContext, testServerName, sids, 1, 2));

        verify(sidResolver, times(1)).resolveSids(mockContext, testServerName, sids, 1, 2);
    }

    @Test

tolerations](https://kubernetes.io/docs/concepts/configuration/assign-pod-node/). This feature allows you to specify rules for "repelling" pods from nodes by default, which enables use cases like dedicated nodes and reserving nodes with special features for pods that need those features. We've also added a `NoExecute` taint type that evicts already-running pods, and an associated `tolerationSeconds` field to tolerations to delay the eviction for a specified amount of time. As before, taints are created...

  * Stop 'kubectl drain' deleting pods with local storage.
  * Add `kubectl rollout status`
* Security/Auth
  * L7 LB controller and disk attach controllers run on master, so nodes do not need those privileges.
  * Setting TLS1.2 minimum
  * `kubectl create secret tls` command
  * Webhook Token Authenticator
  * **beta** PodSecurityPolicy objects limits use of security-sensitive features by pods.
* Kubectl

- Force deleted pods may fail to terminate until the kubelet is restarted when the container runtime returns an error during termination. We have strengthened testing for runtime failures and now perform a more rigorous reconciliation to ensure static pods (especially those that use fixed UIDs) are restarted.  As a side effect of these changes static pods will be restarted with lower latency than before (2s vs 4s, on average) and rapid...

      return "A message";
    }
  }

  private static final String FORMAT = "I ate %s pies.";

  private static void verifySimpleMessage(Exception e) {
    assertThat(e).hasMessageThat().isEqualTo("A message");
  }

  private static void verifyComplexMessage(Exception e) {
    assertThat(e).hasMessageThat().isEqualTo("I ate 5 pies.");
  }

      return "A message";
    }
  }

  private static final String FORMAT = "I ate %s pies.";

  private static void verifySimpleMessage(Exception e) {
    assertThat(e).hasMessageThat().isEqualTo("A message");
  }

  private static void verifyComplexMessage(Exception e) {
    assertThat(e).hasMessageThat().isEqualTo("I ate 5 pies.");
  }

  Previously, when unschedulable Pods are updated, the scheduler always put Pods back to activeQ/backoffQ. But, actually not all updates to Pods make Pods schedulable, especially considering many scheduling constraints nowadays are immutable.

			this._ids = new Map([ // mapping from JS values to reference ids
				[0, 1],
				[null, 2],
				[true, 3],
				[false, 4],
				[globalThis, 5],
				[this, 6],
			]);
			this._idPool = [];   // unused ids that have been garbage collected
			this.exited = false; // whether the Go program has exited

	// Test all combinations!
	for pIdx, params := range qParamsArr {
		for vIdx, vars := range varsArr {
			_, err := extractHealInitParams(vars, params, bytes.NewReader([]byte(body)))
			isErrCase := false
			if pIdx < 4 || vIdx < 1 {
				isErrCase = true
			}

			if err != ErrNone && !isErrCase {
				t.Errorf("Got unexpected error: %v %v %v", pIdx, vIdx, err)
			} else if err == ErrNone && isErrCase {