// Read a delimiter.
    if (i + 2 <= limit && input.startsWith("::", startIndex = i)) {
      // Compression "::" delimiter, which is anywhere in the input, including its prefix.
      if (compress != -1) return null // Multiple "::" delimiters.
      i += 2
      b += 2
      compress = b
      if (i == limit) break
    } else if (b != 0) {
      // Group separator ":" delimiter.
      if (input.startsWith(":", startIndex = i)) {

    }
    check(rule.indexOf(WILDCARD_CHAR, 1) == -1) {
      """Wildcard Assertion Failure: '$rule'
A wildcard rule was added with multiple wildcards! We'll need to change ${PublicSuffixDatabase::class.java.name} to handle this."""
    }
    check(rule.length != 1) {
      """Wildcard Assertion Failure: '$rule'

///

## Ausführungsreihenfolge bei mehreren Middlewares { #multiple-middleware-execution-order }

// - Read operations via toServerHTTPStats(false).
func TestRaulStatsRaceCondition(t *testing.T) {
	httpStats := newHTTPStats()
	// Simulate the concurrent scenario from the original race condition:
	// Multiple HTTP request handlers updating stats concurrently,
	// while background processes are reading the stats for persistence.
	const numWriters = 100 // Simulate many HTTP request handlers.

// and the static / single key KMS.
type conn interface {
	// Version returns version information about the KMS.
	//
	// TODO(aead): refactor this API call. It does not account
	// for multiple endpoints.
	Version(context.Context) (string, error)

	// APIs returns a list of APIs supported by the KMS server.
	//
	// TODO(aead): remove this API call. It's hardly useful.

				Computed: etag,
			}
		}
	}
	return n, err
}

// ETag returns the ETag of all the content read
// so far. Reading more content changes the MD5
// checksum. Therefore, calling ETag multiple
// times may return different results.
func (r *Reader) ETag() ETag {
	sum := r.md5.Sum(nil)
	return ETag(sum)
}

// VerifyError is an error signaling that a
// computed ETag does not match an expected

        when(treeHandle.send(any(), any(), (RequestParam[]) any())).thenAnswer(invocation -> {
            return invocation.getArgument(1);
        });

        // When: Create iterator and close multiple times
        NetServerEnumIterator iterator = new NetServerEnumIterator(parent, treeHandle, "*", 0, null);

        iterator.close();
        iterator.close(); // Second close should be safe

 * #enqueue enqueueing} and then {@linkplain #dispatch dispatching} events.
 *
 * <p>The API of this class is designed to make it easy to achieve the following properties
 *
 * <ul>
 *   <li>Multiple events for the same listener are never dispatched concurrently.
 *   <li>Events for the different listeners are dispatched concurrently.
 *   <li>All events for a given listener dispatch on the provided executor.

---

Esta sería la historia equivalente de las hamburguesas paralelas. 🍔

Para un ejemplo más "de la vida real" de esto, imagina un banco.

Hasta hace poco, la mayoría de los bancos tenían múltiples cajeros 👨‍💼👨‍💼👨‍💼👨‍💼 y una gran fila 🕙🕙🕙🕙🕙🕙🕙🕙.

Todos los cajeros haciendo todo el trabajo con un cliente tras otro 👨‍💼⏯.

Y tienes que esperar 🕙 en la fila por mucho tiempo o pierdes tu turno.

						key="labels.index_lang"
					/></label>
				<div class="col-lg-5 col-md-8 col-sm-7 col-6">
					<la:select property="lang" styleId="langSearchOption" multiple="true" styleClass="form-control">
						<c:forEach var="item" items="${langItems}">
							<la:option value="${f:u(item.value)}">${f:h(item.label)}</la:option>
						</c:forEach>
					</la:select>
				</div>