long mostSig = bb.getLong();
        long leastSig = bb.getLong();
        this.guid = new UUID(mostSig, leastSig);
    }
    
    public byte[] toBytes() {
        ByteBuffer bb = ByteBuffer.allocate(16);
        bb.putLong(guid.getMostSignificantBits());
        bb.putLong(guid.getLeastSignificantBits());
        return bb.array();
    }
    
    @Override
    public String toString() {

        result);
    return (int) result;
  }

  /**
   * Returns a big-endian representation of {@code value} in a 2-element byte array; equivalent to
   * {@code ByteBuffer.allocate(2).putChar(value).array()}. For example, the input value {@code
   * '\\u5432'} would yield the byte array {@code {0x54, 0x32}}.
   *

   *
   * <p><b>Note:</b> No guarantees are made regarding stability of the representation between
   * versions.
   */
  public byte[] toByteArray() {
    ByteBuffer buff = ByteBuffer.allocate(BYTES).order(ByteOrder.LITTLE_ENDIAN);
    writeTo(buff);
    return buff.array();
  }

  /**
   * Writes to the given {@link ByteBuffer} a byte representation of this instance.
   *

    private void readObject(ObjectInputStream stream) throws IOException, ClassNotFoundException {
    stream.defaultReadObject();
    int size = Serialization.readCount(stream);
    init(16); // resist hostile attempts to allocate gratuitous heap
    Serialization.populateMap(this, stream, size);
  }

  // TODO(cpovirk): Should we have a serialVersionUID here?

Of course, there are some cases where there's no problem in running the previous steps multiple times, in that case, it's a lot easier to handle.

        result);
    return (int) result;
  }

  /**
   * Returns a big-endian representation of {@code value} in a 4-element byte array; equivalent to
   * {@code ByteBuffer.allocate(4).putInt(value).array()}. For example, the input value {@code
   * 0x12131415} would yield the byte array {@code {0x12, 0x13, 0x14, 0x15}}.
   *

	//
	// 2. the (decrypted) start offset `off` and (decrypted)
	//    length to read `length`
	//
	// These are the inputs to the rest of the algorithm below.

	// Locate the part containing the start of the required range
	var partEnd int
	var cumulativeSum, encCumulativeSum int64
	for i, size := range sizes {
		if off < cumulativeSum+size {
			partStart = i
			break
		}

func listIAMConfigItems(ctx context.Context, objAPI ObjectLayer, pathPrefix string) <-chan itemOrErr[string] {
	ch := make(chan itemOrErr[string])

	go func() {
		defer xioutil.SafeClose(ch)

		// Allocate new results channel to receive ObjectInfo.
		objInfoCh := make(chan itemOrErr[ObjectInfo])

		if err := objAPI.Walk(ctx, minioMetaBucket, pathPrefix, objInfoCh, WalkOptions{}); err != nil {
			select {

This idea of **asynchronous** code described above is also sometimes called **"concurrency"**. It is different from **"parallelism"**.

**Concurrency** and **parallelism** both relate to "different things happening more or less at the same time".

But the details between *concurrency* and *parallelism* are quite different.

To see the difference, imagine the following story about burgers:

      return null; // :: must expand to at least one '0'
    }
    if (!hasSkip && delimiterCount + 1 != IPV6_PART_COUNT) {
      return null; // Incorrect number of parts
    }

    ByteBuffer rawBytes = ByteBuffer.allocate(2 * IPV6_PART_COUNT);
    try {
      // Iterate through the parts of the ip string.
      // Invariant: start is always the beginning of a hextet, or the second ':' of the skip
      // sequence "::"