)

// TargetStats contains statistics for a target.
type TargetStats struct {
	// QueueLength is the queue length if any messages are queued.
	QueueLength int

	// TotalMessages is the total number of messages sent in the lifetime of the target
	TotalMessages int64

	// FailedMessages should log message count that failed to send.
	FailedMessages int64

| `minio_notification_events_sent_total`        | Total number of events sent to the targets. <br><br>Type: counter                                     | `server` |
| `minio_notification_events_skipped_total`     | Number of events not sent to the targets due to the in-memory queue being full. <br><br>Type: counter | `server` |

### Replication metrics

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		targetID)
	auditTargetQueueLengthMD = NewGaugeMD(auditTargetQueueLength,
		"Number of unsent messages in queue for target",
		targetID)
	auditTotalMessagesMD = NewCounterMD(auditTotalMessages,
		"Total number of messages sent since start",
		targetID)
)

// loadAuditMetrics - `MetricsLoaderFn` for audit
// such as failed messages and total messages.
func loadAuditMetrics(_ context.Context, m MetricValues, c *metricsCache) error {

		return err
	}

	eventData, eErr := target.store.Get(key)
	if eErr != nil {
		// The last event key in a successful batch will be sent in the channel atmost once by the replayEvents()
		// Such events will not exist and would've been already been sent successfully.
		if os.IsNotExist(eErr) {
			return nil
		}
		return eErr
	}

	if err := target.send(eventData); err != nil {

This is useful for operations that need to happen after a request, but that the client doesn't really have to be waiting for the operation to complete before receiving the response.

This includes, for example:

* Email notifications sent after performing an action:
    * As connecting to an email server and sending an email tends to be "slow" (several seconds), you can return the response right away and send the email notification in the background.
* Processing data:

var errLessData = StorageErr("less data available than what was requested")

// errMoreData = returned when more data was sent by the caller than what it was supposed to.
var errMoreData = StorageErr("more data was sent than what was advertised")

// indicates readDirFn to return without further applying the fn()
var errDoneForNow = errors.New("done for now")

    + row.withPanels([
      panels.timeSeries.connections('Connections', queries.connections, 'Connections opened and closed per instance'),
      panels.timeSeries.bytesRate('Bytes Transmitted', queries.bytes, 'Bytes sent and received per instance'),
      panels.timeSeries.dns('DNS Request', queries.dns, 'DNS queries received per instance'),
    ]),
    row.new('Operations')
    + row.withPanels([
      panels.timeSeries.base(

package okhttp3

import java.io.IOException
import okhttp3.Interceptor.Chain
import okio.Buffer
import okio.BufferedSink
import okio.ForwardingSink
import okio.Sink
import okio.buffer

/** Rewrites the request body sent to the server to be all uppercase.  */
class UppercaseRequestInterceptor : Interceptor {
  @Throws(IOException::class)
  override fun intercept(chain: Chain): Response {
    return chain.proceed(uppercaseRequest(chain.request()))

```

/// info

<a href="https://docs.python.org/3/library/enum.html" class="external-link" target="_blank">Les énumérations (ou enums) sont disponibles en Python</a> depuis la version 3.4.

///

/// tip | "Astuce"

Pour ceux qui se demandent, "AlexNet", "ResNet", et "LeNet" sont juste des noms de <abbr title="Techniquement, des architectures de modèles">modèles</abbr> de Machine Learning.

///