case waiting != nil:
		// output some info for the most common pending failures
		switch reason := waiting.Reason; reason {
		case images.ErrImagePull.Error():
			return kubecontainer.ContainerID{}, fmt.Errorf("container %q in pod %q is waiting to start: image can't be pulled", containerName, podName)
		case images.ErrImagePullBackOff.Error():

				v1.ResourceMemory: *resource.NewQuantity(memory, resource.BinarySI),
				"pods":            *resource.NewQuantity(100, resource.DecimalSI),
			},
			Images: images,
		},
	}
}

// queuedPodStore: pods queued before processing.
// cache: scheduler cache that might contain assumed pods.

          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "Usage [{{bucket}}]",
          "refId": "A"
        }
      ],
      "title": "Usage Rate",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },

  local container_runtime_name="${CONTAINER_RUNTIME_NAME:-containerd}"
  systemctl stop "$container_runtime_name"
  # Some images remount the container runtime root dir.
  umount "/var/lib/${container_runtime_name}" || true
  # Move the container runtime's directory to the new location to preserve
  # preloaded images.
  if [ ! -d "${ephemeral_mountpoint}/${container_runtime_name}" ]; then

	// Sample bucket notification.
	bucketNotificationBuf := `<NotificationConfiguration><QueueConfiguration><Event>s3:ObjectCreated:Put</Event><Filter><S3Key><FilterRule><Name>prefix</Name><Value>images/</Value></FilterRule></S3Key></Filter><Id>1</Id><Queue>arn:minio:sqs:us-east-1:444455556666:webhook</Queue></QueueConfiguration></NotificationConfiguration>`
	// generate a random bucket Name.
	bucketName := getRandomBucketName()

		in, out := &in.Addresses, &out.Addresses
		*out = make([]NodeAddress, len(*in))
		copy(*out, *in)
	}
	out.DaemonEndpoints = in.DaemonEndpoints
	out.NodeInfo = in.NodeInfo
	if in.Images != nil {
		in, out := &in.Images, &out.Images
		*out = make([]ContainerImage, len(*in))
		for i := range *in {
			(*in)[i].DeepCopyInto(&(*out)[i])
		}
	}
	if in.VolumesInUse != nil {

		in, out := &in.Addresses, &out.Addresses
		*out = make([]NodeAddress, len(*in))
		copy(*out, *in)
	}
	out.DaemonEndpoints = in.DaemonEndpoints
	out.NodeInfo = in.NodeInfo
	if in.Images != nil {
		in, out := &in.Images, &out.Images
		*out = make([]ContainerImage, len(*in))
		for i := range *in {
			(*in)[i].DeepCopyInto(&(*out)[i])
		}
	}
	if in.VolumesInUse != nil {

	{"GET", "codesearch.google.com", "/", 203, "codesearch.google.com/"},
	{"GET", "codesearch.google.com:443", "/", 203, "codesearch.google.com/"},
	{"GET", "images.google.com", "/search", 201, "/search"},
	{"GET", "images.google.com", "/search/", 404, ""},
	{"GET", "images.google.com", "/search/foo", 404, ""},
	{"GET", "google.com", "/../search", 301, "/search"},
	{"GET", "google.com", "/dir/..", 301, ""},

    TFL_OperandHasRank<0, 4>,
    TFL_OperandHasRank<1, 1>,
    SameOperandsAndResultsScale]> {
  let summary = "ResizeBilinear Op";

  let description = [{
    Resize `images` to `size` using bilinear interpolation.
  }];

  let arguments = (ins
    TFL_TensorOf<[F32, TFL_Quint8, QUI8, QI8, QI16]>:$input,
    TFL_I32Tensor:$size,
    BoolAttr:$align_corners,

    `tf.entry_function` attribute will not be pruned, as such graphs/functions may
    have been imported from a V1 TensorFlow graph, where feeds/fetches/targets are
    not provided at certain stages of IR transformation (e.g. pre-placement).

    Option `ops-to-preserve` allows to specify ops that should not be pruned,
    regardless of their reachability.

    For example, the following:

    ```mlir