}
	base.ExitIfErrors()

	changed = r.updateBuildList(ctx, tentative)
	return changed
}

// disambiguate eliminates candidates from cs that conflict with other module
// versions that have already been resolved. If there is only one (unique)
// remaining candidate, disambiguate returns that candidate, along with
// an indication of whether that result interprets cs.path as a package
//

	// is an STS request for a claim based IDP (if one is present) and set
	// roleArn = openid.DummyRoleARN.
	//
	// Currently, we do not support multiple claim based IDPs, as there is no
	// defined parameter to disambiguate the intended IDP in this STS request.
	roleArn := openid.DummyRoleARN
	roleArnStr := r.Form.Get(stsRoleArn)
	if roleArnStr != "" {
		var err error
		roleArn, _, err = globalIAMSys.GetRolePolicy(roleArnStr)

	// initialization.
	ready *ready

	// Underlying storage.Interface.
	storage storage.Interface

	// Expected type of objects in the underlying cache.
	objectType reflect.Type
	// Used for logging, to disambiguate *unstructured.Unstructured (CRDs)
	groupResource schema.GroupResource

	// "sliding window" of recent changes of objects and the current state.
	watchCache *watchCache
	reflector  *cache.Reflector

the slice becomes (2, 1, 5, 5, 2, 5).
Let us walk step by step through each argument specification.

1.  The first argument in the example slice is turned into `begin = 1` and
`end = begin + 1 = 2`. To disambiguate from the original spec `2:4` we
also set the appropriate bit in `shrink_axis_mask`.

2. `2:4` is contributes 2, 4, 1 to begin, end, and stride. All masks have
zero bits contributed.

        `tf.data.Options.experimental_optimization.autotune_buffers`.
    *   Add support for user-defined names of tf.data core Python API, which can
        be used to disambiguate tf.data events in TF Profiler Trace Viewer.
    *   Promote `tf.data.experimental.sample_from_datasets` API to
        `tf.data.Dataset.sample_from_datasets` and deprecate the experimental
        endpoint.