documentationRoot = project.layout.projectDirectory.dir('docsRoot')
                javadocRoot = documentationRoot.dir('javadoc')
            }
        """
    }

    def "finds broken section links"() {
        given:
        sampleDoc << """
=== Dead Section Links
This section doesn't exist: <<missing_section>>
Also see this one, which is another dead link: <<other_missing_section>>
        """

      # This defines the action the controller will take when a pod is detected as broken.

      # labelPods will label all pods with <brokenPodLabelKey>=<brokenPodLabelValue>.
      # This is only capable of identifying broken pods; the user is responsible for fixing them (generally, by deleting them).

	})
	if err != nil {
		c.events.Write(pod, corev1.EventTypeWarning, ReasonDeleteBrokenPod, "pod detected as broken, but failed to delete: %v", err)
		m.With(resultLabel.Value(resultFail)).Increment()
		return err
	}
	c.events.Write(pod, corev1.EventTypeWarning, ReasonDeleteBrokenPod, "pod detected as broken, deleted")
	m.With(resultLabel.Value(resultSuccess)).Increment()
	return nil
}

		PodName: "broken-pod-terminating",
		Annotations: map[string]string{
			"sidecar.istio.io/status": "something",
		},
		Labels: map[string]string{
			"testlabel": "true",
		},
		NodeName:            "test-node",
		InitContainerStatus: &brokenInitContainerTerminating,
	})

	brokenPodWaiting = makePod(makePodArgs{
		PodName: "broken-pod-waiting",
		Annotations: map[string]string{

    const val ENABLE_CONFIGURATION_CACHE_FOR_DOCS_TESTS = "enableConfigurationCacheForDocsTests"

    /**
     * Run docs tests that are knowingly broken when running with the configuration cache enabled. Only applied when #ENABLE_CONFIGURATION_CACHE_FOR_DOCS_TESTS is also set.
     */
    const val RUN_BROKEN_CONFIGURATION_CACHE_DOCS_TESTS = "runBrokenConfigurationCacheDocsTests"

    internal
    val VENDOR_MAPPING = mapOf(

    to the layer came from a keras input.
*   Clean up `BatchNormalization` layer's `trainable` property to act like
    standard python state when it's used inside `tf.functions` (frozen at
    tracing time), instead of acting like a pseudo-variable whose updates *kind
    of sometimes* get reflected in already-traced `tf.function` traces.
*   Add the `Conv1DTranspose` layer.

	RepairDeletePods         = "repair-delete-pods"
	RepairRepairPods         = "repair-repair-pods"
	RepairLabelPods          = "repair-label-pods"
	RepairLabelKey           = "repair-broken-pod-label-key"
	RepairLabelValue         = "repair-broken-pod-label-value"
	RepairNodeName           = "repair-node-name"
	RepairSidecarAnnotation  = "repair-sidecar-annotation"
	RepairInitContainerName  = "repair-init-container-name"

	// The node name that the CNI DaemonSet runs on
	NodeName string

	// Key and value for broken pod label
	LabelKey   string
	LabelValue string

	// Whether to fix race condition by repairing them
	RepairPods bool

	// Whether to fix race condition by delete broken pods
	DeletePods bool

	// Whether to label broken pods
	LabelPods bool

and deploy TensorFlow. This folder is typically used by continuous integration
(CI) tools to build and test TensorFlow whenever there is a change to the
code. This folder is broken into subfolders that represent the level of support

    } catch (AssertionFailedError e) {
      assertErrorMessage(e, "bar [group 1, item 2] must be Object#equals to foo [group 1, item 1]");
      return;
    }
    fail("should failed because symmetry is broken");
  }

  public void testTransitivityBrokenInEqualityGroup() {
    EqualsTester tester =
        new EqualsTester()
            .addEqualityGroup(
                named("foo").addPeers("bar", "baz"),