*
   * @param c the character to escape
   * @return the replacement characters, or {@code null} if no escaping was required
   */
  // TODO(dbeaumont,cpovirk): Rename this something better once refactoring done
  protected abstract char @Nullable [] escapeUnsafe(char c);

        SmbFile file = (SmbFile) conn;
        assertNotNull(file.getContext(), "Context must be non-null");
        assertSame(SingletonContext.getInstance(), file.getContext(), "Should use SingletonContext when none provided");
    }

    @Test
    @DisplayName("parseURL: exact 'smb://' sets default port")
    void testParseURL_ExactRoot_DefaultPort() throws MalformedURLException {

`data` 字段始终会被编码为 JSON。你可以传入任何可被序列化为 JSON 的值，包括 Pydantic 模型。

## 原始数据 { #raw-data }

如果你需要发送**不**进行 JSON 编码的数据，请使用 `raw_data` 而不是 `data`。

这对于发送预格式化文本、日志行或特殊的 <dfn title="用于指示特殊条件或状态的值">"哨兵"</dfn> 值（例如 `[DONE]`）很有用。

{* ../../docs_src/server_sent_events/tutorial003_py310.py hl[17] *}

/// note | 注意

`data` 和 `raw_data` 是互斥的。每个 `ServerSentEvent` 上只能设置其中一个。

///

  labels:
    app: {{ template "minio.name" . }}
    chart: {{ template "minio.chart" . }}
    release: {{ .Release.Name }}
    heritage: {{ .Release.Service }}
spec:
  publishNotReadyAddresses: true
  clusterIP: None
  ports:
    - name: {{ $scheme }}
      port: {{ .Values.service.port }}
      protocol: TCP
      targetPort: {{ .Values.minioAPIPort }}
  selector:
    app: {{ template "minio.name" . }}

	target := &WebhookTarget{
		id:         event.TargetID{ID: id, Name: "webhook"},
		args:       args,
		loggerOnce: loggerOnce,
		transport:  transport,
		cancel:     cancel,
		cancelCh:   ctx.Done(),
	}

	return target, nil

     *
     * @param sessionId the session identifier to find the latest crawling parameters for
     * @return a list of CrawlingInfoParam entities from the latest session, or empty list if none found
     */
    public List<CrawlingInfoParam> getLastCrawlingInfoParamList(final String sessionId) {
        final CrawlingInfo crawlingInfo = getLast(sessionId);
        if (crawlingInfo == null) {

	}
	go s.trackEWMA()
	return &s
}

func (sr *SRStats) trackEWMA() {
	for {
		select {
		case <-sr.movingAvgTicker.C:
			sr.updateMovingAvg()
		case <-GlobalContext.Done():
			return
		}
	}
}

func (sr *SRStats) updateMovingAvg() {
	sr.lock.Lock()
	defer sr.lock.Unlock()
	for _, s := range sr.M {
		s.XferRateLrg.measure.updateExponentialMovingAverage(time.Now())

  metrics_path: /minio/v2/metrics/bucket
  scheme: http
  static_configs:
  - targets: ['localhost:9000']
```

##### Node (optional)

Optionally you can also collect per node metrics. This needs to be done on a per server instance.
The scrape configurations should use all the servers under `targets` so that graphing systems like
grafana can visualize them for all the nodes

```yaml
scrape_configs:
- job_name: minio-job

		Endpoint  string
		ItemState madmin.ItemState
	}

	var wg sync.WaitGroup
	results := make([]Result, len(c.client.Endpoints))
	for i := range c.client.Endpoints {
		wg.Add(1)
		go func(i int) {
			defer wg.Done()

			client := kes.Client{
				Endpoints:  []string{c.client.Endpoints[i]},
				HTTPClient: c.client.HTTPClient,
			}

			var item madmin.ItemState
			if _, err := client.Status(ctx); err == nil {

			select {
			case ch <- itemOrErr[string]{Err: err}:
			case <-ctx.Done():
			}
			return
		}

		for obj := range objInfoCh {
			if obj.Err != nil {
				select {
				case ch <- itemOrErr[string]{Err: obj.Err}:
				case <-ctx.Done():
					return
				}
			}
			item := strings.TrimPrefix(obj.Item.Name, pathPrefix)