mapEntry("one", "January"),
        mapEntry("two", "February"),
        mapEntry("three", "March"),
        mapEntry("four", "April"),
        mapEntry("five", "May"));
  }

  @Override
  public SampleElements<String> sampleKeys() {
    return new SampleElements<>("one", "two", "three", "four", "five");
  }

  @Override
  public SampleElements<String> sampleValues() {

/// info | Info

Für weitere Informationen besuchen Sie bitte [die offizielle Python-Dokumentation](https://docs.python.org/3/library/__main__.html).

///

## Ihren Code mit Ihrem Debugger ausführen { #run-your-code-with-your-debugger }

Da Sie den Uvicorn-Server direkt aus Ihrem Code ausführen, können Sie Ihr Python-Programm (Ihre FastAPI-Anwendung) direkt aus dem Debugger aufrufen.

---

Zum Beispiel können Sie in Visual Studio Code:

 *
 * Copy WireSharkKeyLoggerListener to your test code to use in development.
 *
 * This logs TLSv1.2 on a JVM (OpenJDK 11+) without any additional code.  For TLSv1.3
 * an existing external tool is required.
 *
 * See https://stackoverflow.com/questions/61929216/how-to-log-tlsv1-3-keys-in-jsse-for-wireshark-to-decode-traffic
 *
 * Steps to run in your own code
 *
 * 1. In your main method `WireSharkListenerFactory.register()`

This directory contains templates that work around gradle-ospackage-plugin
trying to be helpful and adding templates for your os packaging scripts. We
have relatively nice scripts already so we just override the templates to be

 * or more contributor license agreements. Licensed under the Elastic License
 * 2.0 and the Server Side Public License, v 1; you may not use this file except
 * in compliance with, at your election, the Elastic License 2.0 or the Server
 * Side Public License, v 1.
 */

package org.elasticsearch.gradle.internal.util.ports;

public interface PortDetector {
    boolean isAvailable(int port);

   *
   * <p><b>Note:</b> the values of the metrics are undefined in case of overflow (though it is
   * guaranteed not to throw an exception). If you require specific handling, we recommend
   * implementing your own stats collector.
   */
  public long requestCount() {
    return saturatedAdd(hitCount, missCount);
  }

  /** Returns the number of times {@link Cache} lookup methods have returned a cached value. */

   *
   * <p><b>Note:</b> the values of the metrics are undefined in case of overflow (though it is
   * guaranteed not to throw an exception). If you require specific handling, we recommend
   * implementing your own stats collector.
   */
  public long requestCount() {
    return saturatedAdd(hitCount, missCount);
  }

  /** Returns the number of times {@link Cache} lookup methods have returned a cached value. */

 * iterator} method only once, and should be tested using this class. Exceptions to this rule should
 * be clearly documented.
 *
 * <p>Note that although your APIs should be liberal in what they accept, your methods which
 * <i>return</i> iterables should make every attempt to return ones of the robust variety.
 *
 * <p>This testing utility is not thread-safe.
 *
 * @author Kevin Bourrillion
 */

### Sub-application { #sub-application }

Then, create your sub-application, and its *path operations*.

This sub-application is just another standard FastAPI application, but this is the one that will be "mounted":

{* ../../docs_src/sub_applications/tutorial001_py310.py hl[11, 14:16] *}

### Mount the sub-application { #mount-the-sub-application }

In your top-level application, `app`, mount the sub-application, `subapi`.

Et vous bénéficierez toujours des mêmes fonctionnalités que jusqu'à présent :

* Excellente prise en charge dans l'éditeur.
* Conversion des données à partir des requêtes entrantes.
* Conversion des données pour les données de réponse.
* Validation des données.
* Annotations et documentation automatiques.

## Autres types de données { #other-data-types }

Voici quelques types de données supplémentaires que vous pouvez utiliser :