match     func(*DB) bool
	handler   func(*DB)
	processor *processor
}

func (cs *callbacks) Create() *processor {
	return cs.processors["create"]
}

func (cs *callbacks) Query() *processor {
	return cs.processors["query"]
}

func (cs *callbacks) Update() *processor {
	return cs.processors["update"]
}

func (cs *callbacks) Delete() *processor {
	return cs.processors["delete"]
}

                    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

///

---

In this scenario of the parallel burgers, you are a computer / program 🤖 with two processors (you and your crush), both waiting 🕙 and dedicating their attention ⏯ to be "waiting on the counter" 🕙 for a long time.

The fast food store has 8 processors (cashiers/cooks). While the concurrent burgers store might have had only 2 (one cashier and one cook).

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.crawler.processor;

import org.codelibs.fess.unit.UnitFessTestCase;

public class FessResponseProcessorTest extends UnitFessTestCase {

    @Override
    public void setUp() throws Exception {
        super.setUp();
    }

        String queryString = builder.toString();
        assertFalse(queryString.contains("important_content"));
    }

    public void test_register() {
        // Save the original processor
        QueryProcessor originalProcessor = ComponentUtil.getQueryProcessor();

        try {
            // Create a new QueryProcessor and initialize it

        assertNull(result);
    }

    // Test convertBooleanQuery with null queryBuilder from processor
    public void test_convertBooleanQuery_withNullQueryBuilder() {
        // Create processor that returns null
        QueryProcessor nullProcessor = new QueryProcessor() {
            @Override

        for (EventType type : EventType.values()) {
            eventCounters.put(type, new AtomicLong(0));
            eventTimings.put(type, new AtomicLong(0));
        }

        // Start async logging processor
        startAsyncProcessor();

        // Register shutdown hook
        Runtime.getRuntime().addShutdownHook(new Thread(this::shutdown));
    }

    private void startAsyncProcessor() {

        final Builder builder = Settings.builder()
                .putList("http.hosts", hosts)
                .put("processors", fessConfig.availableProcessors())
                .put("http.heartbeat_interval", fessConfig.getFesenHeartbeatInterval());
        final String username = fessConfig.getFesenUsername();

- Added support for a new kubectl output format, `kyaml`. KYAML was a strict subset of YAML and should be accepted by any YAML processor. The formatting of KYAML was halfway between JSON and YAML.  Because it was more explicit than the default YAML style, it was less error-prone. ([#132942](https://github.com/kubernetes/kubernetes/pull/132942), [@thockin](https://github.com/thockin))...

- Enabled kube-controller-manager '--concurrent-job-syncs' flag works on orphan Pod processors ([#126567](https://github.com/kubernetes/kubernetes/pull/126567), [@fusida](https://github.com/fusida)) [SIG Apps]