TF_RETURN_IF_ERROR(
        ops::Sub(ctx, fPlus.get(), fMinus.get(), f_outputs, "sub_top"));
    AbstractTensorHandlePtr fDiff(f_outputs[0]);

    // Calculate using the difference quotient definition:
    // (f(theta + eps) - f(theta - eps)) / (2 * eps).
    TF_RETURN_IF_ERROR(
        ops::Div(ctx, fDiff.get(), two_eps.get(), f_outputs, "diff_quotient"));

 *       feed values to it as you get them, then call {@link StatsAccumulator#snapshot}.
 * </ul>
 *
 * <p>Static convenience methods called {@code meanOf} are also provided for users who wish to
 * calculate <i>only</i> the mean.
 *
 * <p><b>Java 8+ users:</b> If you are not using any of the variance statistics, you may wish to use
 * built-in JDK libraries instead of this class.
 *
 * @author Pete Gillin

	maxPartsCount             = 10000
	maxPartSize               = 1024 * 1024 * 1024 * 5
	minPartSize               = 1024 * 1024 * 128 // chosen by us to be optimal for HDDs
)

// optimalPartInfo - calculate the optimal part info for a given
// object size.
//
// NOTE: Assumption here is that for any object to be uploaded to any S3 compatible
// object storage it will have the following parameters as constants.
//

				info.Name = devName
				qst, err := bfs.SysBlockDeviceQueueStats(devName)
				if err != nil { // Mostly not found error
					// Check if there is a parent device:
					//   e.g. if the mount is based on /dev/nvme0n1p1, let's calculate the
					//        real device name (nvme0n1) to get its sysfs information
					parentDevPath, e := os.Readlink("/sys/class/block/" + devName)
					if e == nil {
						parentDev := filepath.Base(filepath.Dir(parentDevPath))

|               16 |              13 |                 3 |                1.23 |
|               16 |              14 |                 2 |                1.14 |

You can calculate _approximate_ storage usage ratio using the formula - total drives (N) / data drives (D).

### Allowed values for STANDARD storage class

		fatalIf(true, "Only 1 file can be decrypted")
		os.Exit(1)
	}
	for _, input := range inputs {
		processFile(input, privateKey)
	}
}

func processFile(inputFileName string, privateKey []byte) {
	// Calculate the output file name
	var outputFileName string
	switch {
	case strings.HasSuffix(inputFileName, ".enc"):
		outputFileName = strings.TrimSuffix(inputFileName, ".enc") + ".zip"

  /**
   * Returns the size in bytes of all messages enqueued to be transmitted to the server. This
   * doesn't include framing overhead. If compression is enabled, uncompressed messages size
   * is used to calculate this value. It also doesn't include any bytes buffered by the operating
   * system or network intermediaries. This method returns 0 if no messages are waiting in the

        String.format("expected: %08x, actual: %08x", expectedCrc, actualCrc),
        expectedCrc,
        actualCrcHasher);
  }

  // From RFC 3720, Section 12.1, the polynomial generator is 0x11EDC6F41.
  // We calculate the constant below by:
  //   1. Omitting the most significant bit (because it's always 1). => 0x1EDC6F41
  //   2. Flipping the bits of the constant so we can process a byte at a time. => 0x82F63B78

	m.percUtil = float64(ioStats.TotalTicks) * 100 / (durationSecs * 1000)

	return
}

func newDriveMetricsCache() *cachevalue.Cache[storageMetrics] {
	var (
		// prevDriveIOStats is used to calculate "per second"
		// values for IOStat related disk metrics e.g. reads/sec.
		prevDriveIOStats            map[string]madmin.DiskIOStats
		prevDriveIOStatsMu          sync.RWMutex
		prevDriveIOStatsRefreshedAt time.Time
	)

		}
		if !bytes.Equal(h.Sum(nil), want) {
			return errFileCorrupt
		}
		return nil
	}

	h := algo.New()
	hashBuf := make([]byte, h.Size())
	left := wantSize

	// Calculate the size of the bitrot file and compare
	// it with the actual file size.
	if left != bitrotShardFileSize(partSize, shardSize, algo) {
		return errFileCorrupt
	}

	bufp := xioutil.ODirectPoolSmall.Get().(*[]byte)