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;

        final FessConfig fessConfig = ComponentUtil.getFessConfig();
        ComponentUtil.getComponent(ScheduledJobBhv.class).selectCursor(cb -> {
            cb.query().setAvailable_Equal(Constants.T);
            cb.query().setCrawler_Equal(Constants.T);
        }, scheduledJob -> {
            if (fessConfig.isSchedulerTarget(scheduledJob.getTarget())) {
                if (scheduledJob.isRunning()) {

 * <p>
 * This class is a wrapper for both {@link jcifs.netbios.NbtAddress}
 * and {@link java.net.InetAddress}. The name resolution mechanisms
 * used will systematically query all available configured resolution
 * services including WINS, broadcasts, DNS, and LMHOSTS. See
 * <a href="../../resolver.html">Setting Name Resolution Properties</a>
 * and the <code>jcifs.resolveOrder</code> property. Changing

# Benchmarks

Benchmarks independentes da TechEmpower mostram que aplicações **FastAPI** rodando com o 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">um dos frameworks Python mais rápidos disponíveis</a>, ficando atrás apenas do Starlette e Uvicorn (utilizado internamente pelo FastAPI).

/// note

This is supported since FastAPI version `0.115.0`. 🤓

///

/// tip

This same technique applies to `Query`, `Cookie`, and `Header`. 😎

///

## Cookies with a Pydantic Model

Declare the **cookie** parameters that you need in a **Pydantic model**, and then declare the parameter as `Cookie`:

//// tab | Python 3.10+