title %0
@REM enable echoing by setting MAVEN_BATCH_ECHO to 'on'
@if "%MAVEN_BATCH_ECHO%" == "on"  echo %MAVEN_BATCH_ECHO%

@REM set %HOME% to equivalent of $HOME
if "%HOME%" == "" (set "HOME=%HOMEDRIVE%%HOMEPATH%")

@REM Execute a user defined script before this one
if not "%MAVEN_SKIP_RC%" == "" goto skipRcPre
@REM check for pre script, once with legacy .bat ending and once with .cmd ending
if exist "%HOME%\mavenrc_pre.bat" call "%HOME%\mavenrc_pre.bat"

        // without declaring an explicit or implicit dependency. This can lead to incorrect results being produced, depending on what order the tasks are executed.
        tasks.named("publishGradleDistributionPublicationToRemoteRepository") {
            dependsOn("signLocalPublication")
        }
        tasks.named("publishLocalPublicationToLocalRepository") {

{* ../../docs_src/security/tutorial006_an_py39.py hl[4,8,12] *}

Wenn Sie versuchen, die URL zum ersten Mal zu öffnen (oder in der Dokumentation auf den Button „Execute“ zu klicken), wird der Browser Sie nach Ihrem Benutzernamen und Passwort fragen:

<img src="/img/tutorial/security/image12.png">

## Den Benutzernamen überprüfen { #check-the-username }

    /**
     * Retrieve toolchain of specified type from build context. It is expected that
     * <code>maven-toolchains-plugin</code> contains the configuration to select the appropriate
     * toolchain and is executed at the beginning of the build.
     *
     * @param type the type, must not be {@code null}
     * @param context the Maven session, must not be {@code null}

Podrías **llamar** a esa misma función en **otros lugares** sin FastAPI, y **funcionaría como se espera**. Si hay un parámetro **requerido** (sin un valor por defecto), tu **editor** te avisará con un error, **Python** también se quejará si lo ejecutas sin pasar el parámetro requerido.

                        // head method
                        responseData =
                                client.execute(RequestDataBuilder.newRequestData().head().url(url).weight(urlQueue.getWeight()).build());
                        if (responseData == null) {
                            return true;
                        }

# Primeros Pasos { #first-steps }

El archivo FastAPI más simple podría verse así:

{* ../../docs_src/first_steps/tutorial001_py39.py *}

Copia eso en un archivo `main.py`.

Ejecuta el servidor en vivo:

<div class="termy">

```console
$ <font color="#4E9A06">fastapi</font> dev <u style="text-decoration-style:solid">main.py</u>

    client =
      client
        .newBuilder()
        .addNetworkInterceptor(
          Interceptor { chain: Interceptor.Chain? ->
            throw AssertionError() // Network interceptors don't execute.
          },
        ).build()
    webServer.enqueue(
      MockResponse
        .Builder()
        .webSocketUpgrade(serverListener)
        .build(),
    )

// On success, dequeues a tensor from a TF-managed FifoQueue given by
// `tensor_id`, associated with `session`. There must be a graph node named
// "fifo_queue_dequeue_<tensor_id>", to be executed by this API call.

// Caller must call TF_DeleteTensor() over the returned tensor. If the queue is
// empty, this call is blocked.
//
// Tensors are enqueued via the corresponding TF enqueue op.

                stream(baseExcludes).of(stream -> stream.forEach(exclude -> popularWordsRequestBuilder.addExcludeWord(exclude)));
                try {
                    popularWordsRequestBuilder.execute().getResponse().getItems().stream().forEach(item -> wordList.add(item.getText()));
                } catch (final SuggesterException e) {
                    logger.warn("Failed to generate popular words.", e);
                }