}

    @Test
    public void test_addEventHandler_multipleHandlers() {
        final AtomicInteger count = new AtomicInteger(0);
        coordinatorHelper.addEventHandler("config_updated", event -> count.incrementAndGet());
        coordinatorHelper.addEventHandler("config_updated", event -> count.incrementAndGet());

        final EventInfo event = new EventInfo();
        event.name = "config_updated";

        sid = new SID(buf, bi);
        return size;
    }

    void appendCol(final StringBuffer sb, final String str, final int width) {
        sb.append(str);
        final int count = width - str.length();
        for (int i = 0; i < count; i++) {
            sb.append(' ');
        }
    }

    /**
     * Return a string represeting this ACE.
     * <p>

 * ## Cache Optimization
 *
 * To measure cache effectiveness, this class tracks three statistics:
 *
 *  * **[Request Count:][requestCount]** the number of HTTP requests issued since this cache was
 *    created.
 *  * **[Network Count:][networkCount]** the number of those requests that required network use.
 *  * **[Hit Count:][hitCount]** the number of those requests whose responses were served by the
 *    cache.
 *

<?xml version="1.0" encoding="UTF-8" ?>
<eef>
	<config Schema="2.0" EnterpriseVersion="'7.6.50'">
		<collections Count="3">
			<collection Name="fess">
				<bad_urls><![CDATA[
https://fess.codelibs.org/images/
              ]]></bad_urls>
				<good_urls><![CDATA[
https://fess.codelibs.org/
https://www.codelibs.org/
              ]]></good_urls>
				<prerequisite_results><![CDATA[
20
              ]]></prerequisite_results>

                    final BooleanFunction<Map<String, Object>> cursor) {
                long count = 0;
                for (final Map<String, Object> doc : documents) {
                    count++;
                    if (!cursor.apply(doc)) {
                        break;
                    }
                }
                return count;
            }
        };

  @Param({"3", "30", "300"})
  int count;

  @Param({"0", "1", "16", "32", "100"})
  int componentLength;

  private Iterable<String> components;

  @BeforeExperiment
  @SuppressWarnings("InlineMeInliner") // String.repeat unavailable under Java 8
  void setUp() {
    String component = Strings.repeat("a", componentLength);
    String[] raw = new String[count];
    Arrays.fill(raw, component);

# Incluyendo WSGI - Flask, Django, otros { #including-wsgi-flask-django-others }

Puedes montar aplicaciones WSGI como viste con [Sub Aplicaciones - Mounts](sub-applications.md), [Detrás de un Proxy](behind-a-proxy.md).

Para eso, puedes usar el `WSGIMiddleware` y usarlo para envolver tu aplicación WSGI, por ejemplo, Flask, Django, etc.

## Usando `WSGIMiddleware` { #using-wsgimiddleware }

/// info | Información

	QueueLength int

	// TotalMessages is the total number of messages sent in the lifetime of the target
	TotalMessages int64

	// FailedMessages should log message count that failed to send.
	FailedMessages int64

                    java.util.function.BiFunction<org.opensearch.action.update.UpdateRequestBuilder, org.opensearch.search.SearchHit, org.opensearch.action.update.UpdateRequestBuilder> processor) {
                // Return a fixed count for testing
                return 3L;
            }
        };
        ComponentUtil.register(mockSearchEngineClient, "searchEngineClient");

        // Mock FessConfig

  /**
   * Test that verifies the resource leak fix for <a
   * href="https://github.com/google/guava/issues/5756">Issue #5756</a>.
   *
   * <p>This test covers a scenario where we write a smaller amount of data first, then write a
   * large amount that crosses the threshold (transitioning from "not at threshold" to "over the
   * threshold"). (We then write some more afterward.) This differs from the existing