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;

		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;

</p>
<p align="center">
    FastAPI framework, zeer goede prestaties, eenvoudig te leren, snel te programmeren, klaar voor productie
</p>
<p align="center">
<a href="https://github.com/fastapi/fastapi/actions?query=workflow%3ATest+event%3Apush+branch%3Amaster" target="_blank">
    <img src="https://github.com/fastapi/fastapi/workflows/Test/badge.svg?event=push&branch=master" alt="Test">
</a>

	// Proxy stats
	Proxied ProxyMetric `json:"proxied"`
	// replication metrics summary for each site replication peer
	Metrics map[string]SRMetric `json:"replMetrics"`
	// uptime of node being queried for site replication metrics
	Uptime int64 `json:"uptime"`

        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()) {

# 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).