}

    /**
     * Measure the average time for equals operations.
     */
    private long measureEqualsTime(NtlmPasswordAuthenticator auth1, NtlmPasswordAuthenticator auth2, int iterations) {
        // Warm up
        for (int i = 0; i < 100; i++) {
            auth1.equals(auth2);
        }

        // Measure actual timing
        long startTime = System.nanoTime();

			return
		}
	}
}

func (sr *SRStats) updateMovingAvg() {
	sr.lock.Lock()
	defer sr.lock.Unlock()
	for _, s := range sr.M {
		s.XferRateLrg.measure.updateExponentialMovingAverage(time.Now())
		s.XferRateSml.measure.updateExponentialMovingAverage(time.Now())
	}
}

// SRMetric captures replication metrics for a deployment
type SRMetric struct {

          if ((hash1 & (1 << k)) == (hash2 & (1 << k))) {
            same[k] += 1;
          } else {
            diff[k] += 1;
          }
        }
      }
      // measure probability and assert it's within margin of error
      for (int j = 0; j < hashBits; j++) {
        double prob = (double) diff[j] / (double) (diff[j] + same[j]);
        assertThat(prob).isWithin(epsilon).of(0.50d);

    
    SmbFile file = new SmbFile("smb://server/share/largefile.dat", context);
    
    // Measure single channel throughput
    long singleChannelTime = measureReadTime(file, false);
    
    // Measure multi-channel throughput
    long multiChannelTime = measureReadTime(file, true);
    
    // Multi-channel should be faster

    CIFSContext context = getTestContext();
    context.getConfig().setProperty("jcifs.smb.client.useRDMA", "true");
    
    SmbFile file = new SmbFile("smb://server/share/largefile.dat", context);
    
    // Measure RDMA transfer performance
    byte[] data = new byte[10485760];  // 10MB
    Arrays.fill(data, (byte)0x42);
    
    long start = System.currentTimeMillis();
    
    try (OutputStream os = file.getOutputStream()) {

 * may cause corruption or runtime errors if not. It may however be shared amongst multiple OkHttpClient
 * instances.
 *
 * ## Cache Optimization
 *
 * To measure cache effectiveness, this class tracks three statistics:
 *
 *  * **[Request Count:][requestCount]** the number of HTTP requests issued since this cache was
 *    created.

You could put an **arbitrary number** to target, for example, something **between 50% to 90%** of resource utilization. The point is that those are probably the main things you will want to measure and use to tweak your deployments.

        return Strings.fromOEMBytes(src, srcIndex, Strings.findTermination(src, srcIndex, maxLen), getConfig());
    }

    /**
     * Calculates the wire format length of a string
     * @param str string to measure
     * @param offset current buffer offset for alignment calculation
     * @return string length
     */
    public int stringWireLength(final String str, final int offset) {
        int len = str.length() + 1;

	// Put all buckets into channel.
	bucketCh := make(chan BucketInfo, len(buckets))

	// Shuffle buckets to ensure total randomness of buckets, being scanned.
	// Otherwise same set of buckets get scanned across erasure sets always.
	// at any given point in time. This allows different buckets to be scanned
	// in different order per erasure set, this wider spread is needed when
	// there are lots of buckets with different order of objects in them.

	"github.com/minio/minio/internal/logger"
)

// Erasure - erasure encoding details.
type Erasure struct {
	encoder                  func() reedsolomon.Encoder
	dataBlocks, parityBlocks int
	blockSize                int64
}

// NewErasure creates a new ErasureStorage.
func NewErasure(ctx context.Context, dataBlocks, parityBlocks int, blockSize int64) (e Erasure, err error) {
	// Check the parameters for sanity now.