assertArrayEquals(largeTestData, decompressed);
    }

    @Test
    @DisplayName("Test compression ratio estimation")
    public void testCompressionRatioEstimation() {
        double ratio = compressionService.estimateCompressionRatio(testData, CompressionService.COMPRESSION_LZ77);
        assertTrue(ratio >= 0.0 && ratio <= 1.0);

Below is a list of data/parity drives and corresponding _approximate_ storage space usage on a 16 drive MinIO deployment. The field _storage
usage ratio_ is simply the drive space used by the file after erasure-encoding, divided by actual file size.

| Total Drives (N) | Data Drives (D) | Parity Drives (P) | Storage Usage Ratio |
|------------------|-----------------|-------------------|---------------------|

     */
    int[] getSupportedAlgorithms();

    /**
     * Estimates the compression ratio for the given data and algorithm.
     * This can be used to decide whether compression is worthwhile.
     *
     * @param data the data to analyze
     * @param algorithm the compression algorithm
     * @return estimated compression ratio (0.0 to 1.0, where 0.5 means 50% size reduction)
     */

            // 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++ {

image dimensions does not support inputs allowing multiple files"),b(!1)):0===i.length?b(!0):f(i[0],function(c){var d=!1;e.valAttr("dimension")&&(d=a.formUtils.checkImageDimension(c,e.valAttr("dimension"),h)),!d&&e.valAttr("ratio")&&(d=a.formUtils.checkImageRatio(c,e.valAttr("ratio"),h)),d?(j.errorMessage=h.wrongFileDim+" "+e.valAttr("has-not-valid-dim"),b(!1)):b(!0)},function(a){throw a})}else b(!0)},errorMessage:"",errorMessageKey:""}),a(b).one("validatorsLoaded formValidationSetup",function(b,c,d){var...

  }

  /** 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;
    }

    /**

incorrect",wrongFileDim:"Mauvaise taille de l'image, ",imageTooTall:"l'image ne peut pas être plus élevée que",imageTooWide:"l'image ne peut pas être plus large que",imageTooSmall:"l'image est trop petite",min:"moins",max:"max",imageRatioNotAccepted:"Ratio de l'image non accepté"}})}(a,window)});...

        a full-time Guava team member. [Feedback](https://stackoverflow.com/a/4543114) from our
        users indicates that they really appreciate Guava's high power-to-weight ratio. It's
        important to us to keep Guava as easy to use and understand as we can. That means boiling
        features down to compact but powerful abstractions, and controlling feature bloat carefully.

  - type: textarea