":return e+"er";default:case"M":case"Q":case"DDD":case"d":case"w":case"W":return e}},week:{dow:0,doy:3},meridiemParse:/rati|sokallim|donparam|sanje/,meridiemHour:function(e,a){return 12===e&&(e=0),"rati"===a?e<4?e:e+12:"sokallim"===a?e:"donparam"===a?12<e?e:e+12:"sanje"===a?e+12:void 0},meridiem:function(e,a,t){return e<4?"rati":e<12?"sokallim":e<16?"donparam":e<20?"sanje":"rati"}});var Ln={1:"\u0ae7",2:"\u0ae8",3:"\u0ae9",4:"\u0aea",5:"\u0aeb",6:"\u0aec",7:"\u0aed",8:"\u0aee",9:"\u0aef",0:"\u0a...

* **Irọrun**: A kọ kí ó le rọrun láti lo àti láti kọ ẹkọ nínú rè. Ó máa fún ọ ní àkókò díẹ̀ látı ka àkọsílẹ.
* **Ó kúkurú ní kikọ**: Ó dín àtúnkọ àti àtúntò kóòdù kù. Ìkéde àṣàyàn kọ̀ọ̀kan nínú rẹ̀ ní ọ̀pọ̀lọpọ̀ àwọn ìlò. O ṣe iranlọwọ láti má ṣe ní ọ̀pọ̀lọpọ̀ àṣìṣe.

          sum(rate('galley_validation_passed'))
        ),
        self.query(
          'Failure',
          sum(rate('galley_validation_failed'))
        ),
      ],

      injectionWebhook: [
        self.query(
          'Success',
          sum(rate('sidecar_injection_success_total'))
        ),
        self.query(
          'Failure',
          sum(rate('sidecar_injection_failure_total'))

 * <p>Rate limiters are often used to restrict the rate at which some physical or logical resource
 * is accessed. This is in contrast to {@link java.util.concurrent.Semaphore} which restricts the
 * number of concurrent accesses instead of the rate (note though that concurrency and rate are
 * closely related, e.g. see <a href="http://en.wikipedia.org/wiki/Little%27s_law">Little's
 * Law</a>).
 *

 * <p>Rate limiters are often used to restrict the rate at which some physical or logical resource
 * is accessed. This is in contrast to {@link java.util.concurrent.Semaphore} which restricts the
 * number of concurrent accesses instead of the rate (note though that concurrency and rate are
 * closely related, e.g. see <a href="http://en.wikipedia.org/wiki/Little%27s_law">Little's
 * Law</a>).
 *

   * underlying model is a continuous function mapping storedPermits (from 0.0 to maxStoredPermits)
   * onto the 1/rate (i.e. intervals) that is effective at the given storedPermits. "storedPermits"
   * essentially measure unused time; we spend unused time buying/storing permits. Rate is
   * "permits / time", thus "1 / rate = time / permits". Thus, "1/rate" (time / permits) times

   * we change the rate.
   */
  public void testWeNeverGetABurstMoreThanOneSec() {
    RateLimiter limiter = RateLimiter.create(1.0, stopwatch);
    int[] rates = {1000, 1, 10, 1000000, 10, 1};
    for (int rate : rates) {
      int oneSecWorthOfWork = rate;
      stopwatch.sleepMillis(rate * 1000);
      limiter.setRate(rate);

   * we change the rate.
   */
  public void testWeNeverGetABurstMoreThanOneSec() {
    RateLimiter limiter = RateLimiter.create(1.0, stopwatch);
    int[] rates = {1000, 1, 10, 1000000, 10, 1};
    for (int rate : rates) {
      int oneSecWorthOfWork = rate;
      stopwatch.sleepMillis(rate * 1000);
      limiter.setRate(rate);

                  "uid": "$datasource"
               },
               "expr": "sum (rate(istio_requests_total{reporter=~\"source|waypoint\",response_code!~\"5..\"}[$__rate_interval])) / sum (rate(istio_requests_total{reporter=~\"source|waypoint\"}[$__rate_interval]))"
            }
         ],
         "title": "Success Rate",
         "type": "stat"
      },
      {
         "datasource": {

          },
          "exemplar": true,
          "expr": "sum by (server) (rate(minio_s3_traffic_received_bytes{job=~\"$scrape_jobs\"}[$__rate_interval]))",
          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "Data Received [{{server}}]",
          "refId": "A"
        }
      ],
      "title": "S3 API Ingress Rate ",
      "type": "timeseries"
    },
    {
      "datasource": {