)

// initDataScanner will start the scanner in the background.
func initDataScanner(ctx context.Context, objAPI ObjectLayer) {
	go func() {
		r := rand.New(rand.NewSource(time.Now().UnixNano()))
		// Run the data scanner in a loop
		for {
			runDataScanner(ctx, objAPI)
			duration := max(time.Duration(r.Float64()*float64(scannerCycle.Load())),
				// Make sure to sleep at least a second to avoid high CPU ticks.
				time.Second)

	fivs := make([]FileInfo, 5)
	objInfos := make([]ObjectInfo, 5)
	objRetentionMeta := make(map[string]string)
	objRetentionMeta[strings.ToLower(xhttp.AmzObjectLockMode)] = string(objectlock.RetCompliance)
	// Set retain until date 12 hours into the future
	objRetentionMeta[strings.ToLower(xhttp.AmzObjectLockRetainUntilDate)] = amztime.ISO8601Format(now.Add(12 * time.Hour))
	/*
		objInfos:
		version stack for obj-1
		v5 uuid-5 modTime

Klaus Post <******@****.***> 1756435188 +0200

		hashPathCutSet = dataUsageRoot + string(filepath.Separator)
	}
}

// hashPath calculates a hash of the provided string.
func hashPath(data string) dataUsageHash {
	if data != dataUsageRoot {
		data = strings.Trim(data, hashPathCutSet)
	}
	return dataUsageHash(path.Clean(data))
}

//msgp:ignore dataUsageHashMap
type dataUsageHashMap map[string]struct{}

// DecodeMsg implements msgp.Decodable

# Extra Data Types { #extra-data-types }

Up to now, you have been using common data types, like:

* `int`
* `float`
* `str`
* `bool`

But you can also use more complex data types.

And you will still have the same features as seen up to now:

* Great editor support.
* Data conversion from incoming requests.
* Data conversion for response data.
* Data validation.
* Automatic annotation and documentation.

Klaus Post <******@****.***> 1756435188 +0200

    /**
     * Compresses data using the specified algorithm.
     *
     * @param data the data to compress
     * @param algorithm the compression algorithm to use
     * @return the compressed data
     * @throws CIFSException if compression fails
     */
    byte[] compress(byte[] data, int algorithm) throws CIFSException;

    /**
     * Compresses data using the specified algorithm with offset and length.

			}
			if withData {
				data, err := readConfig(ctx, objAPI, obj.Name)
				if err != nil {
					// ignore history file if not readable.
					continue
				}

				data, err = decryptData(data, obj.Name)
				if err != nil {
					// ignore history file that cannot be loaded.
					continue
				}

				cfgEntry.Data = string(data)
			}
			configHistory = append(configHistory, cfgEntry)

    }

    /**
     * Get the context data
     *
     * @return encoded context data
     */
    public byte[] getData() {
        // Encode the context data
        byte[] data = new byte[20]; // 2 + 2 + 4 + 4 + 4 + 4

        int idx = 0;
        SMBUtil.writeInt2(transformCount, data, idx);
        idx += 2;
        SMBUtil.writeInt2(reserved1, data, idx);
        idx += 2;

## Return Type and Data Filtering { #return-type-and-data-filtering }

Let's continue from the previous example. We wanted to **annotate the function with one type**, but we wanted to be able to return from the function something that actually includes **more data**.