// Timing differences should be minimal (within tolerance)
            assertTrue(timingRatio < TIMING_TOLERANCE,
                    String.format(
                            "Timing attack vulnerability detected: timing ratio %.3f exceeds tolerance %.3f "
                                    + "(start: %d ns, middle: %d ns, end: %d ns)",
                            timingRatio, TIMING_TOLERANCE, timeStart, timeMiddle, timeEnd));
        } finally {

	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++ {

  }

  /** Returns the number of times {@link Cache} lookup methods have returned a cached value. */
  public long hitCount() {
    return hitCount;
  }

  /**
   * Returns the ratio of cache requests which were hits. This is defined as {@code hitCount /
   * requestCount}, or {@code 1.0} when {@code requestCount == 0}. Note that {@code hitRate +
   * missRate =~ 1.0}.
   */
  public double hitRate() {

    public void setReadAsTextIfFailed(final boolean readAsTextIfFailed) {
        this.readAsTextIfFailed = readAsTextIfFailed;
    }

    /**
     * Sets the maximum compression ratio.
     * @param maxCompressionRatio The max compression ratio.
     */
    public void setMaxCompressionRatio(final long maxCompressionRatio) {
        this.maxCompressionRatio = maxCompressionRatio;
    }

    /**

        // In practice, this would be more sophisticated
        int uniqueBytes = countUniqueBytes(data);
        double entropy = (double) uniqueBytes / 256.0;

        // Estimate compression ratio based on entropy
        // Lower entropy = better compression
        return 0.3 + (entropy * 0.6); // Range from 30% to 90%
    }

    @Override
    public int getMinCompressionSize() {

      // Since scale is a positive int, index is in [0, scale], and (dataset.length - 1) is a
      // non-negative int, we can do long-arithmetic on index * (dataset.length - 1) / scale to get
      // a rounded ratio and a remainder which can be expressed as ints, without risk of overflow:
      int quotient = (int) LongMath.divide(numerator, scale, RoundingMode.DOWN);
      int remainder = (int) (numerator - (long) quotient * scale);

	if divisibleSize < setCounts[len(setCounts)-1] {
		return divisibleSize
	}

	// Figure out largest value of total_drives_in_erasure_set which results
	// in least number of total_drives/total_drives_erasure_set ratio.
	prevD := divisibleSize / setCounts[0]
	for _, cnt := range setCounts {
		if divisibleSize%cnt == 0 {
			d := divisibleSize / cnt
			if d <= prevD {
				prevD = d
				setSize = cnt
			}
		}
	}

	}

	return s, nil
}

// cleanup ".trash/" folder every 5m minutes with sufficient sleep cycles, between each
// deletes a dynamic sleeper is used with a factor of 10 ratio with max delay between
// deletes to be 2 seconds.
func (s *erasureSets) cleanupDeletedObjects(ctx context.Context) {
	timer := time.NewTimer(globalAPIConfig.getDeleteCleanupInterval())
	defer timer.Stop()

	for {

iner:function(b){if(b.valAttr("error-msg-container"))return a(b.valAttr("error-msg-container"));var c=b.parent();return"checkbox"===b.attr("type")&&b.closest(".checkbox").length?c=b.closest(".checkbox").parent():"radio"===b.attr("type")&&b.closest(".radio").length&&(c=b.closest(".radio").parent()),c.closest(".input-group").length&&(c=c.closest(".input-group").parent()),c},applyInputErrorStyling:function(a,b){a.addClass(b.errorElementClass).removeClass(b.successElementClass),this.getParentContain...

    if (uniques < contents.length / 2) {
      // Deduplication eliminated many of the elements.  We don't want to retain an arbitrarily
      // large array relative to the number of elements, so we cap the ratio.
      contents = Arrays.copyOf(contents, uniques);
    }
    return new RegularImmutableSortedSet<E>(
        ImmutableList.<E>asImmutableList(contents, uniques), comparator);
  }

  /**