El cajero te da el número de tu turno.

<img src="/img/async/concurrent-burgers/concurrent-burgers-04.png" class="illustration">

Mientras esperas, vas con tu crush y eliges una mesa, te sientas y hablas con tu crush por un largo rato (ya que tus hamburguesas son muy sofisticadas y toman un tiempo en prepararse).

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import jcifs.smb.SmbException;

/**
 * Rate limiter for authentication attempts to prevent brute force attacks.
 *
 * Features:
 * - Per-account rate limiting
 * - Per-IP rate limiting
 * - Global rate limiting
 * - Exponential backoff for repeated failures
 * - Account lockout after threshold
 * - Automatic cleanup of old entries
 */

   * 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);

    }

    /**
     * Increment error counter
     */
    public void incrementErrors() {
        errors.incrementAndGet();
    }

    /**
     * Get error rate (errors / total requests)
     *
     * @return error rate between 0.0 and 1.0
     */
    public double getErrorRate() {
        long total = requestsSent.get();
        if (total == 0)
            return 0.0;

	for i := 0; i < 2*b.N; i++ {
		if i%2 == 0 {
			l.Add(trace[i], trace[i])
		} else {
			if _, ok := l.Get(trace[i]); ok {
				hit++
			} else {
				miss++
			}
		}
	}
	b.Logf("hit: %d miss: %d ratio: %f", hit, miss, float64(hit)/float64(hit+miss))
}

func BenchmarkLRU_Freq_NoExpire(b *testing.B) {
	l := lru.NewLRU[int64, int64](8192, nil, 0)

	trace := make([]int64, b.N*2)
	for i := 0; i < b.N*2; i++ {

    @Test
    void testFormatRateEdgeCases() {
        FileSizeFormat format = new FileSizeFormat();

        // Test zero rate
        MessageBuilder builder = new DefaultMessageBuilder();
        format.formatRate(builder, 0.0);
        assertEquals("0.0 B/s", builder.build());

        // Test rate at exactly 1000 (1 kB/s)
        builder = new DefaultMessageBuilder();
        format.formatRate(builder, 1000.0);

            long avgResponseTime = metrics.getAverageResponseTime();

            // Adjust threshold based on failure rate and response time trends
            int currentThreshold = this.failureThreshold;
            int newThreshold = currentThreshold;

            // If failure rate is high but response time is normal, be more lenient
            if (failureRate > 0.5 && avgResponseTime < 5000) {

            }
        }

        // If we've had many errors, consider fallback
        double errorRate = statistics.getErrorRate();
        if (errorRate > 0.1) { // More than 10% error rate
            log.warn("High RDMA error rate ({:.1f}%), TCP fallback recommended", errorRate * 100);
            return true;
        }

        return false;
    }

    /**