transition to clusterspec-propagated configurations.
*   VectorExponential added to distributions.
*   Add a bitwise module with bitwise_and, bitwise_or, bitwise_xor, and invert
    functions.
*   Add fixed-grid ODE integration routines.
*   Allow passing bounds to ScipyOptimizerInterface.
*   Correctness fixes for fft_length parameter to `tf.spectral.rfft` &
    `tf.spectral.irfft`.

    TestSuite suite = new TestSuite(name);
    for (@SuppressWarnings("rawtypes") // class literals
    Class<? extends AbstractTester> testerClass : testers) {
      @SuppressWarnings("unchecked") // getting rid of the raw type, for better or for worse
      TestSuite testerSuite =
          makeSuiteForTesterClass((Class<? extends AbstractTester<?>>) testerClass);
      if (testerSuite.countTestCases() > 0) {

    TestSuite suite = new TestSuite(name);
    for (@SuppressWarnings("rawtypes") // class literals
    Class<? extends AbstractTester> testerClass : testers) {
      @SuppressWarnings("unchecked") // getting rid of the raw type, for better or for worse
      TestSuite testerSuite =
          makeSuiteForTesterClass((Class<? extends AbstractTester<?>>) testerClass);
      if (testerSuite.countTestCases() > 0) {

ldap.attr.preferredLanguage=preferredLanguage
# LDAP attribute for department number.
ldap.attr.departmentNumber=departmentNumber
# LDAP attribute for UID number.
ldap.attr.uidNumber=uidNumber
# LDAP attribute for GID number.
ldap.attr.gidNumber=gidNumber
# LDAP attribute for home directory.
ldap.attr.homeDirectory=homeDirectory

# ----------------------------------------------------------

     */
    String getLdapAttrUidNumber();

    /**
     * Get the value for the key 'ldap.attr.gidNumber'. <br>
     * The value is, e.g. gidNumber <br>
     * comment: LDAP attribute for GID number.
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getLdapAttrGidNumber();

    /**