return MetricDescription{
		Namespace: healMetricNamespace,
		Subsystem: timeSubsystem,
		Name:      lastActivityTime,
		Help:      "Time elapsed (in nano seconds) since last self healing activity",
		Type:      gaugeMetric,
	}
}

func getNodeOnlineTotalMD() MetricDescription {
	return MetricDescription{
		Namespace: clusterMetricNamespace,
		Subsystem: nodesSubsystem,

 */

		// This should be checked on client side, so return generic error
		writeErrorResponseJSON(ctx, w, errorCodes.ToAPIErr(ErrInvalidRequest), r.URL)
		return
	}

	// Empty user list and not self, list access keys for all users
	if isAll {
		if !globalIAMSys.IsAllowed(policy.Args{
			AccountName:     cred.AccessKey,
			Groups:          cred.Groups,
			Action:          policy.ListUsersAdminAction,

        StandardizedConv2D(tf.keras.layers.Conv2D): def call(self, inputs):
        mean, var = tf.nn.moments(self.kernel, axes=[0, 1, 2], keepdims=True)
        return self.convolution_op(inputs, (self.kernel - mean) / tf.sqrt(var +
        1e-10))` Alternatively, you can override `convolution_op`: `python class
        StandardizedConv2D(tf.keras.Layer): def convolution_op(self, inputs,

					err, _ = errInt.(error)
				}
			}
			switch err.(type) {
			case BucketRemoteIdenticalToSource:
				return true, errorCodes.ToAPIErrWithErr(ErrBucketRemoteIdenticalToSource, fmt.Errorf("remote target endpoint %s is self referential", clnt.EndpointURL().String()))
			default:
			}
		}
		// validate replication ARN against target endpoint

stretch{-ms-flex-line-pack:stretch!important;align-content:stretch!important}.align-self-auto{-ms-flex-item-align:auto!important;align-self:auto!important}.align-self-start{-ms-flex-item-align:start!important;align-self:flex-start!important}.align-self-end{-ms-flex-item-align:end!important;align-self:flex-end!important}.align-self-center{-ms-flex-item-align:center!important;align-self:center!important}.align-self-baseline{-ms-flex-item-align:baseline!important;align-self:baseline!important}.alig...

    * or grant self-deletion permission explicitly:
        * `kubectl create clusterrole self-deleting-nodes --verb=delete --resource=nodes`
        * `kubectl create clusterrolebinding self-deleting-nodes --clusterrole=self-deleting-nodes --group=system:nodes`

# Debug config
build:dbg -c dbg
# Only include debug info for files under tensorflow/, excluding kernels, to
# reduce the size of the debug info in the binary. This is because if the debug
# sections in the ELF binary are too large, errors can occur. See
# https://github.com/tensorflow/tensorflow/issues/48919.
# Users can still include debug info for a specific kernel, e.g. with:

pkg crypto/tls, type ConnectionState struct, TLSUnique //deprecated
pkg debug/elf, const R_PPC64_SECTOFF_LO_DS = 61
pkg encoding/json, method (*RawMessage) MarshalJSON() ([]uint8, error)

### Cluster Lifecycle

#### kubeadm

* [beta] A new `upgrade` subcommand allows you to automatically upgrade a self-hosted cluster created with kubeadm. ([#296](https://github.com/kubernetes/enhancements/issues/296), [@luxas](https://github.com/luxas))