// this relies heavily on the equals() and hashCode() for ComponentDescriptor,
        // which uses role:roleHint for identity...and roleHint == goalPrefix:goal.
        // role does not vary for Mojos.
        List<MojoDescriptor> mojos = getMojos();

        if (mojos != null && mojos.contains(mojoDescriptor)) {
            int indexOf = mojos.indexOf(mojoDescriptor);

}

// Signature will return a signature that is expected to be the same across all disks.
func (j *xlMetaV2Object) Signature() [4]byte {
	// Shallow copy
	c := *j
	// Zero fields that will vary across disks
	c.ErasureIndex = 0

	// Nil 0 size allownil, so we don't differentiate between nil and 0 len.
	allEmpty := true
	for _, tag := range c.PartETags {
		if len(tag) != 0 {
			allEmpty = false

*   Support for Python3.9 has been added.
*   `tf.data`:
    *   `tf.data` service now supports strict round-robin reads, which is useful
        for synchronous training workloads where example sizes vary. With strict
        round robin reads, users can guarantee that consumers get similar-sized
        examples in the same step.
    *   tf.data service now supports optional compression. Previously data would