---

FastAPI é um moderno e rápido (alta performance) _framework web_ para construção de APIs com Python, baseado nos _type hints_ padrões do Python.

Os recursos chave são:

* **Rápido**: alta performance, equivalente a **NodeJS** e **Go** (graças ao Starlette e Pydantic). [Um dos frameworks mais rápidos disponíveis](#performance).
* **Rápido para codar**: Aumenta a velocidade para desenvolver recursos entre 200% a 300%. *

Sus características principales son:

* **Rapidez**: Alto rendimiento, a la par con **NodeJS** y **Go** (gracias a Starlette y Pydantic). [Uno de los frameworks de Python más rápidos](#rendimiento).

* **Rápido de programar**: Incrementa la velocidad de desarrollo entre 200% y 300%. *

    lock02 = factory3.newReentrantLock(OtherOrder.SECOND);
    lock03 = factory3.newReentrantLock(OtherOrder.THIRD);
  }

  // In the unittest, create each ordered factory with its own set of lock
  // graph nodes (as opposed to using the static per-Enum map) to avoid
  // conflicts across different test runs.
  private <E extends Enum<E>>
      CycleDetectingLockFactory.WithExplicitOrdering<E> newInstanceWithExplicitOrdering(

    lock02 = factory3.newReentrantLock(OtherOrder.SECOND);
    lock03 = factory3.newReentrantLock(OtherOrder.THIRD);
  }

  // In the unittest, create each ordered factory with its own set of lock
  // graph nodes (as opposed to using the static per-Enum map) to avoid
  // conflicts across different test runs.
  private <E extends Enum<E>>
      CycleDetectingLockFactory.WithExplicitOrdering<E> newInstanceWithExplicitOrdering(

import org.apache.logging.log4j.Logger;
import org.codelibs.fess.Constants;
import org.codelibs.fess.es.client.SearchEngineClient;
import org.codelibs.fess.util.ComponentUtil;
import org.opensearch.action.admin.cluster.node.stats.NodesStatsResponse;
import org.opensearch.common.xcontent.XContentFactory;
import org.opensearch.core.xcontent.ToXContent;
import org.opensearch.core.xcontent.XContentBuilder;
import org.opensearch.monitor.jvm.JvmStats;

Just keep in mind that when you read "server" in general, it could refer to one of those two things.

When referring to the remote machine, it's common to call it **server**, but also **machine**, **VM** (virtual machine), **node**. Those all refer to some type of remote machine, normally running Linux, where you run programs.

## Install the Server Program

* Desempeño realmente impresionante. Es uno <a href="https://github.com/encode/starlette#performance" class="external-link" target="_blank"> de los frameworks de Python más rápidos, a la par con **NodeJS** y **Go**</a>.
* Soporte para **WebSocket**.
* <abbr title="En español: tareas que se ejecutan en el fondo, sin frenar requests, en el mismo proceso. En ingles: In-process background tasks">Tareas en background</abbr>.

De belangrijkste kenmerken zijn:

* **Snel**: Zeer goede prestaties, vergelijkbaar met **NodeJS** en **Go** (dankzij Starlette en Pydantic). [Een van de snelste beschikbare Python frameworks](#prestaties).
* **Snel te programmeren**: Verhoog de snelheid om functionaliteit te ontwikkelen met ongeveer 200% tot 300%. *

	default:
		// TODO: traverse arguments and call aggregateRow on
		// them if they could be an ancestor of an
		// aggregation.
	}
	return nil
}

// getAggregate() implementation for each AST node follows. This is
// called after calling aggregateRow() on each input row, to calculate
// the final aggregate result.

func (e *FuncExpr) getAggregate() (*Value, error) {
	switch e.getFunctionName() {

            dr.expiration = expiration;
            if (path.equals("")) {
                dr.server = resp.referrals[di].path.substring(1).toLowerCase();
            } else {
                dfsPathSplit(resp.referrals[di].node, arr);
                dr.server = arr[1];
                dr.share = arr[2];
                dr.path = arr[3];
            }
            dr.pathConsumed = resp.pathConsumed;

            di++;