# ----------------------------------------------------------
# Hibernate Validator
# -------------------
constraints.CreditCardNumber.message = {item} is geen geldig creditcardnummer.
constraints.EAN.message = {item} is geen geldige {type} barcode.
constraints.Email.message = {item} is geen geldig e-mailadres.
constraints.Length.message = De lengte van {item} moet tussen {min} en {max} liggen.

# ----------------------------------------------------------
# Hibernate Validator
# -------------------
constraints.CreditCardNumber.message = {item} - неверный номер кредитной карты.
constraints.EAN.message = {item} - неверный штрих-код {type}.
constraints.Email.message = {item} - неверный адрес электронной почты.
constraints.Length.message = Длина {item} должна быть от {min} до {max}.

              try {
                if (state() != State.STOPPING) {
                  // This means that the state has changed since we were scheduled. This implies
                  // that an execution of runOneIteration has thrown an exception and we have
                  // transitioned to a failed state, also this means that shutDown has already
                  // been called, so we do not want to call it again.

		if !ok {
			m = make(map[string]int)
			printOnce[endpoint] = m
			if once {
				m[err.Error()]++
				peersLogAlwaysIf(ctx, err)
				return
			}
		}
		// Once is set and we are here means error was already
		// printed once.
		if once {
			return
		}
		// once not set, check if same error occurred 3 times in
		// a row, then make sure we print it to call attention.
		if m[err.Error()] > 2 {

The risk of loading untrusted checkpoints depends on the code or graph that you
are working with. When loading untrusted checkpoints, the values of the traced
variables from your model are also going to be untrusted. That means that if
your code interacts with the filesystem, network, etc. and uses checkpointed
variables as part of those interactions (ex: using a string variable to build a

   * Generation, described in Knuth's "The Art of Computer Programming", Volume 4, Chapter 7,
   * Section 7.2.1.2. The iteration order follows the lexicographical order. This means that the
   * first permutation will be in ascending order, and the last will be in descending order.
   *
   * <p>Duplicate elements are considered equal. For example, the list [1, 1] will have only one

 * #lazyWeakReadWriteLock(int) weak} {@code Striped<ReadWriteLock>}. <i>Strong</i> means that all
 * stripes (locks/semaphores) are initialized eagerly, and are not reclaimed unless {@code Striped}
 * itself is reclaimable. <i>Weak</i> means that locks/semaphores are created lazily, and they are
 * allowed to be reclaimed if nobody is holding on to them. This is useful, for example, if one

            The important difference is this will not resolve the files for the dependencies, i.e. the artifacts
            associated with a Maven project can lack a file. As such, this annotation is meant for Mojos that only
            want to analyze the set of transitive dependencies, in particular during early lifecycle phases where
            full dependency resolution might fail due to projects which haven't been built yet.

        when(httpSession.getAttribute("NtlmHttpAuth")).thenReturn(null);
        when(httpSession.getAttribute("NtlmHttpChal")).thenReturn(null);

        // For this test, we'll simulate that no auth header means we should challenge
        // Since we can't mock the internal transport operations easily without real network,
        // we'll test the simpler case where no NTLM negotiation is needed

        return trimPrefix(srcPropertyName.replace(beanDelimiter, mapDelimiter));
    }

    /**
     * Converts the source property name to the destination property name for use in a Bean.
     *
     * @param srcPropertyName
     *            The source property name
     * @return The destination property name
     */
    protected String toBeanDestPropertyName(final String srcPropertyName) {