// parsing alone.
func (l Config) ParsesAsDN(dn string) bool {
	_, err := ldap.ParseDN(dn)
	return err == nil
}

// IsLDAPUserDN determines if the given string could be a user DN from LDAP.
func (l Config) IsLDAPUserDN(user string) bool {
	udn, err := ldap.ParseDN(user)
	if err != nil {
		return false
	}
	for _, baseDN := range l.LDAP.UserDNSearchBaseDistNames {

   *
   * <pre>{@code
   * public static final ImmutableMultiset<Bean> BEANS =
   *     new ImmutableMultiset.Builder<Bean>()
   *         .addCopies(Bean.COCOA, 4)
   *         .addCopies(Bean.GARDEN, 6)
   *         .addCopies(Bean.RED, 8)
   *         .addCopies(Bean.BLACK_EYED, 10)
   *         .build();
   * }</pre>
   *

   * <pre>{@code
   * public static final ImmutableSortedMultiset<Bean> BEANS =
   *     new ImmutableSortedMultiset.Builder<Bean>(colorComparator())
   *         .addCopies(Bean.COCOA, 4)
   *         .addCopies(Bean.GARDEN, 6)
   *         .addCopies(Bean.RED, 8)
   *         .addCopies(Bean.BLACK_EYED, 10)
   *         .build();
   * }</pre>
   *

        addition to `tf.data.Dataset`.
    *   Keras reference implementations for many popular models are available in
        the TensorFlow
        [Model Garden](https://github.com/tensorflow/models/tree/master/official).
*   `tf.data`
    *   Changes rebatching for `tf.data datasets` + DistributionStrategy for
        better performance. Note that the dataset also behaves slightly