*   while (true) {
 *     val part = multipartReader.nextPart() ?: break
 *     process(part.headers, part.body)
 *   }
 * }
 * ```
 *
 * Note that [nextPart] will skip any unprocessed data from the preceding part. If the preceding
 * part is particularly large or if the underlying source is particularly slow, the [nextPart] call
 * may be slow!
 *

			}
		}

		// Add the current part.
		fi.AddObjectPart(part.Number, part.ETag, part.Size, part.ActualSize, part.ModTime, part.Index, part.Checksums)
	}

	// Calculate full object size.
	var objectSize int64

	// Calculate consolidated actual size.
	var objectActualSize int64

	// Order online disks in accordance with distribution order.

 *
 * @author Jared Levy
 */
@GwtIncompatible
@J2ktIncompatible
final class Serialization {
  private Serialization() {}

  /**
   * Stores the contents of a map in an output stream, as part of serialization. It does not support
   * concurrent maps whose content may change while the method is running.
   *
   * <p>The serialized output consists of the number of entries, first key, first value, second key,

//
//	 e1 := MD5(part-1)
//	 e2 := MD5(part-2)
//	...
//	 eN := MD5(part-N)
//
// Then, the ETag of the object is computed as MD5 of all individual
// part checksums. S3 also encodes the number of parts into the ETag
// by appending a -<number-of-parts> at the end:
//
//	ETag := MD5(e1 || e2 || e3 ... || eN) || -N
//
//	For example: ceb8853ddc5086cc4ab9e149f8f09c88-5
//

   */
  private static boolean validateSyntax(List<String> parts) {
    int lastIndex = parts.size() - 1;

    // Validate the last part specially, as it has different syntax rules.

    if (!validatePart(parts.get(lastIndex), true)) {
      return false;
    }

    for (int i = 0; i < lastIndex; i++) {
      String part = parts.get(i);
      if (!validatePart(part, false)) {
        return false;
      }
    }

 *
 * @author Jared Levy
 */
@GwtIncompatible
@J2ktIncompatible
final class Serialization {
  private Serialization() {}

  /**
   * Stores the contents of a map in an output stream, as part of serialization. It does not support
   * concurrent maps whose content may change while the method is running.
   *
   * <p>The serialized output consists of the number of entries, first key, first value, second key,

        // Verify customData part
        byte[] actualCustomData = new byte[8];
        System.arraycopy(value, 8, actualCustomData, 0, 8);
        assertArrayEquals(customData, actualCustomData);

        // Verify machineId part
        byte[] actualMachineId = new byte[32];
        System.arraycopy(value, 16, actualMachineId, 0, 32);

      return specialCases.get(constantName);
    }
    List<String> parts = new ArrayList<>();
    for (String part : Splitter.on('_').split(constantName)) {
      if (!uppercaseAcronyms.contains(part)) {
        part = part.charAt(0) + Ascii.toLowerCase(part.substring(1));
      }
      parts.add(part);
    }
    return Joiner.on('-').join(parts);
  }

	// Test 4: key = disk index, value = part name with hash mismatch
	erasureDisks = s.getDisks()
	diskFailures := make(map[int]string)
	diskFailures[0] = "part.1"
	diskFailures[3] = "part.1"
	diskFailures[15] = "part.1"

	for diskIndex, partName := range diskFailures {
		for i := range partsMetadata[diskIndex].Parts {
			if fmt.Sprintf("part.%d", i+1) == partName {

		Checksums:  checksums,
	}

	// Update part info if it already exists.
	for i, part := range fi.Parts {
		if partNumber == part.Number {
			fi.Parts[i] = partInfo
			return
		}
	}

	// Proceed to include new part info.
	fi.Parts = append(fi.Parts, partInfo)

	// Parts in FileInfo should be in sorted order by part number.