}

    @Override
    public SpecifiedColumn invokeSpecifyColumn(String columnPropertyPath) {
        return null;
    }

    @Override
    public void invokeOrScopeQuery(OrQuery<ConditionBean> orQuery) {
        // do nothing
    }

    @Override
    public void invokeOrScopeQueryAndPart(AndQuery<ConditionBean> andQuery) {
        // do nothing
    }

    @Override

## Usando `Depends` e outros

Nos endpoints WebSocket você pode importar do `fastapi` e usar:

* `Depends`
* `Security`
* `Cookie`
* `Header`
* `Path`
* `Query`

Eles funcionam da mesma forma que para outros endpoints FastAPI/*operações de rota*:

{*../../docs_src/websockets/tutorial002_an_py310.py hl[68:69,82]*}

/// info | Informação

    val allAddresses = mutableListOf<InetAddress>()
    var exception: Exception? = null
    val latch = CountDownLatch(1)

    // assumes an IPv4 address
    AndroidAsyncDns.IPv4.query(
      hostname,
      object : AsyncDns.Callback {
        override fun onResponse(
          hostname: String,
          addresses: List<InetAddress>,
        ) {
          allAddresses.addAll(addresses)

Los benchmarks independientes de TechEmpower muestran aplicaciones de **FastAPI** que se ejecutan en Uvicorn como <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l= zijzen-7" class="external-link" target="_blank">uno de los frameworks de Python más rápidos disponibles</a>, solo por debajo de Starlette y Uvicorn (utilizados internamente por FastAPI). (*)

Les tests de performance de TechEmpower montrent que les applications **FastAPI** tournant sous Uvicorn comme <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l=zijzen-7" class="external-link" target="_blank">étant l'un des frameworks Python les plus rapides disponibles</a>, seulement inférieur à Starlette et Uvicorn (tous deux utilisés au cœur de FastAPI). (*)

	listEntriesByIP(name string) ([]netip.Addr, error)
}

// TODO this should actually create v6 and v6 subsets of type `hash:ip`, add them both to a
// superset of type `list:set` - we can then query the superset directly in iptables (with the same rule),
// and iptables will be smart enough to pick the correct underlying set (v4 or v6, based on context),
// reducing the # of rules we need.
//

import org.codelibs.fess.crawler.service.UrlFilterService;
import org.codelibs.fess.crawler.util.OpenSearchCrawlerConfig;
import org.opensearch.action.DocWriteRequest.OpType;
import org.opensearch.index.query.QueryBuilders;

import com.google.common.cache.CacheBuilder;
import com.google.common.cache.CacheLoader;
import com.google.common.cache.LoadingCache;

import jakarta.annotation.PostConstruct;

        addressIndex = 0;

        String host = url.getHost();
        String path = url.getPath();
        String query = url.getQuery();

        if( query != null ) {
            String server = queryLookup( query, "server" );
            if( server != null && server.length() > 0 ) {
                addresses = new UniAddress[1];

		t.Errorf("Hamster's preferred toy count should be 1")
	}

	if DB.Model(&hamster2).Association("OtherToy").Count() != 1 {
		t.Errorf("Hamster's other toy count should be 1")
	}

	// Query
	hamsterToy := Toy{}
	DB.Model(&hamster).Association("PreferredToy").Find(&hamsterToy)
	if hamsterToy.Name != hamster.PreferredToy.Name {
		t.Errorf("Should find has one polymorphic association")
	}

import org.opensearch.core.rest.RestStatus;
import org.opensearch.core.xcontent.XContentBuilder;
import org.opensearch.index.IndexNotFoundException;
import org.opensearch.index.query.BoolQueryBuilder;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.search.SearchHit;
import org.opensearch.search.SearchHits;
import org.opensearch.search.sort.SortBuilder;
import org.slf4j.Logger;