}

  /**
   * Sends the given method call to this thread.
   *
   * @throws TimeoutException if this thread does not accept the request within a reasonable amount
   *     of time
   */
  private void sendRequest(String methodName, Object... arguments) throws Exception {
    if (!requestQueue.offer(new Request(methodName, arguments), TIMEOUT_MILLIS, MILLISECONDS)) {

- Revised the logic for DaemonSet rolling update to exclude nodes if scheduling constraints are not met.
  This eliminates the problem of rolling updates to a DaemonSet getting stuck around tolerations. ([#120786](https://github.com/kubernetes/kubernetes/pull/120786), [@mochizuki875](https://github.com/mochizuki875)) [SIG Apps and Testing]

        line.textContent = '';
        this.container.appendChild(line);

        for (let i = 1; i < chars.length + 1; i++) {
            await this._wait(this.typeDelay);
            const percent = Math.round(i / chars.length * 100);
            line.textContent = `${chars.slice(0, i)} ${percent}%`;
			if (percent>progressPercent) {
				break;
			}
        }
    }

    /**

   * using a secondary hash (Marsaglia XorShift) to try to find a
   * free slot.
   *
   * The table size is capped because, when there are more threads
   * than CPUs, supposing that each thread were bound to a CPU,
   * there would exist a perfect hash function mapping threads to
   * slots that eliminates collisions. When we reach capacity, we
   * search for this mapping by randomly varying the hash codes of

   * "expected arrival time of the next request" is actually in the past, then the difference (now -
   * past) is the amount of time that the RateLimiter was formally unused, and it is that amount of
   * time which we translate to storedPermits. (We increase storedPermits with the amount of permits
   * that would have been produced in that idle time). So, if rate == 1 permit per second, and

				format := "2006-01-02T15:04:05Z07:00"

				if curTime.Round(time.Second).UTC().Format(format) != expect.(time.Time).Round(time.Second).UTC().Format(format) && curTime.Truncate(time.Second).UTC().Format(format) != expect.(time.Time).Truncate(time.Second).UTC().Format(format) {
					t.Errorf("%v: expect: %v, got %v after time round", utils.FileWithLineNum(), expect.(time.Time), curTime)
				}

  // The number of seats that other levels can borrow from this level, known
  // as this level's LendableConcurrencyLimit (LendableCL), is defined as follows.
  //
  // LendableCL(i) = round( NominalCL(i) * lendablePercent(i)/100.0 )
  //
  // +optional
  optional int32 lendablePercent = 3;

  // `borrowingLimitPercent`, if present, configures a limit on how many

    * So, by using FastAPI you are saving development time, bugs, lines of code, and you would probably get the same performance (or better) you would if you didn't use it (as you would have to implement it all...

    else
      'sum by (%s) (%s)' % [std.join(',', by), query],
  irate(query):
    'irate(%s[$__rate_interval])' % query,
  rate(query):
    'rate(%s[$__rate_interval])' % query,
  round(query, by=0.01):
    'round(%s, %s)' % [query, by],
  quantile(quantile, query):
    'histogram_quantile(%s, %s)' %[quantile, query],
  labels(metric_name, labels):
    // One can nest locals.
    // Every local ends with a semi-colon.

        if (unit == ScaleUnit.BYTE) {
            builder.append(size);
        } else if (scaledSize < 0.05d || scaledSize >= 10.0d) {
            builder.append(Math.round(scaledSize));
        } else {
            builder.append(Math.round(scaledSize * 10d) / 10d);
        }

        if (!omitSymbol) {
            builder.append(" ").append(unit.symbol());
        }
    }