},
          "exemplar": true,
          "expr": "sum by (server) (minio_cluster_replication_last_minute_queued_bytes{job=\"$scrape_jobs\"})",
          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server}}",
          "refId": "A"
        }
      ],
      "title": "Last Minute Queued",
      "type": "timeseries"
    },
    {
      "datasource": {

			writeErrorResponse(r.Context(), w, apiErr, r.URL)
		}
		return
	}

	// Verify if KMS is reachable if its configured
	if GlobalKMS != nil {
		ctx, cancel := context.WithTimeout(r.Context(), time.Minute)
		defer cancel()

		if _, err := GlobalKMS.GenerateKey(ctx, "", kms.Context{"healthcheck": ""}); err != nil {
			switch r.Method {
			case http.MethodHead:
				apiErr := toAPIError(r.Context(), err)

   * _could_, so we could keep it as it is. Or we could convince ourselves that hash flooding is
   * unlikely in practice there, too.)
   */

  /**
   * Returns an immutable set containing the given elements, minus duplicates, in the order each was
   * first specified. That is, if multiple elements are {@linkplain Object#equals equal}, all except
   * the first are ignored.
   */
  public static <E> ImmutableSet<E> of(E e1, E e2) {

          "expr": "sum by (bucket) (rate(minio_bucket_replication_last_minute_failed_bytes{job=\"$scrape_jobs\"}[$__rate_interval]))",
          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "Last Minute Failed Size [{{bucket}}]",
          "refId": "A"
        }
      ],
      "title": "Last Minute Failed Size",
      "type": "timeseries"
    },
    {

          "exemplar": true,
          "expr": "sum by (endpoint,server) (minio_cluster_replication_last_minute_failed_bytes{job=\"$scrape_jobs\"})",
          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{endpoint}},{{server}}",
          "refId": "A"
        }
      ],
      "title": "Last Minute Failed Data",
      "type": "timeseries"
    },
    {
      "datasource": {

    sortedMap.put("two", 2);
    sortedMap.put("three", 3);
    return sortedMap;
  }

  @Override
  protected String getKeyNotInPopulatedMap() throws UnsupportedOperationException {
    return "minus one";
  }

  @Override
  protected Integer getValueNotInPopulatedMap() throws UnsupportedOperationException {
    return -1;
  }

		Tiers:       make(map[string]madmin.TierConfig),
	}
}

func (config *TierConfigMgr) refreshTierConfig(ctx context.Context, objAPI ObjectLayer) {
	const tierCfgRefresh = 15 * time.Minute
	r := rand.New(rand.NewSource(time.Now().UnixNano()))
	randInterval := func() time.Duration {
		return time.Duration(r.Float64() * 5 * float64(time.Second))
	}

### Just Modern Python

It's all based on standard **Python type** declarations (thanks to Pydantic). No new syntax to learn. Just standard modern Python.

If you need a 2 minute refresher of how to use Python types (even if you don't use FastAPI), check the short tutorial: [Python Types](python-types.md){.internal-link target=_blank}.

You write standard Python with types:

```Python

	dnsTTL := ctx.Duration("dns-cache-ttl")
	// Check if we have configured a custom DNS cache TTL.
	if dnsTTL <= 0 {
		if orchestrated {
			dnsTTL = 30 * time.Second
		} else {
			dnsTTL = 10 * time.Minute
		}
	}

	// Call to refresh will refresh names in cache.
	go func() {
		// Baremetal setups set DNS refresh window up to dnsTTL duration.
		t := time.NewTicker(dnsTTL)
		defer t.Stop()
		for {

// May or may not send an update upstream.
func (f *folderScanner) sendUpdate() {
	// Send at most an update every minute.
	if f.updates == nil || time.Since(f.lastUpdate) < time.Minute {
		return
	}
	if flat := f.updateCache.sizeRecursive(f.newCache.Info.Name); flat != nil {
		select {
		case f.updates <- flat.clone():
		default:
		}