*
 * @since 4.0.0
 */
@Experimental
@Documented
@Retention(RetentionPolicy.RUNTIME)
@Target(ElementType.TYPE)
@Inherited
public @interface Execute {
    /**
     * Lifecycle phase to fork. Note that specifying a phase overrides specifying a goal.
     * @return the phase
     */
    @Nonnull
    String phase() default "";

    /**

programs that TensorFlow executes. TensorFlow programs are encoded as
computation
[**graphs**](https://developers.google.com/machine-learning/glossary/#graph).
Since models are practically programs that TensorFlow executes, using untrusted
models or graphs is equivalent to running untrusted code.

If you need to run untrusted models, execute them inside a

        this.lifecycles = lifecycles;
    }

    public void execute(MavenSession session, ReactorContext reactorContext, List<TaskSegment> taskSegments)
            throws ExecutionException, InterruptedException {
        try (BuildContext ctx = new BuildContext(session, reactorContext, taskSegments)) {
            ctx.execute();
        }
    }

    class BuildContext implements AutoCloseable {

Cuando instalas FastAPI con algo como `pip install "fastapi[standard]"` ya obtienes `uvicorn[standard]` también.

///

## Ejecuta el Programa del Servidor { #run-the-server-program }

Si instalaste un servidor ASGI manualmente, normalmente necesitarías pasar una cadena de import en un formato especial para que importe tu aplicación FastAPI:

Un `requirements.txt` con algunos paquetes podría verse así:

```requirements.txt
fastapi[standard]==0.113.0
pydantic==2.8.0
```

///

## Ejecuta Tu Programa { #run-your-program }

Después de activar el entorno virtual, puedes ejecutar tu programa, y usará el Python dentro de tu entorno virtual con los paquetes que instalaste allí.

<div class="termy">

```console
$ python main.py

Hello World

  /**
   * Returns an {@link Executor} that runs each task executed sequentially, such that no two tasks
   * are running concurrently.
   *
   * <p>{@linkplain Executor#execute executed} tasks have a happens-before order as defined in the
   * Java Language Specification. Tasks execute with the same happens-before order that the function
   * calls to {@link Executor#execute execute()} that submitted those tasks had.
   *

      if (executeImmediate) {
        new RunnableExecutorPair(runnable, executor).execute();
      }
    }

    void execute() {
      synchronized (runnables) {
        if (executed) {
          return;
        }
        executed = true;
      }

      while (!runnables.isEmpty()) {
        runnables.poll().execute();
      }
    }

    private static class RunnableExecutorPair {

 * that every {@code Runnable} that is {@linkplain #add added} will be executed after {@link
 * #execute()} is called. Any {@code Runnable} added after the call to {@code execute} is still
 * guaranteed to execute. There is no guarantee, however, that listeners will be executed in the
 * order that they are added.
 *

También está diseñado para funcionar como una referencia futura para que puedas volver y ver exactamente lo que necesitas.

## Ejecuta el código { #run-the-code }

Todos los bloques de código pueden ser copiados y usados directamente (de hecho, son archivos Python probados).

Para ejecutar cualquiera de los ejemplos, copia el código a un archivo `main.py`, y comienza `fastapi dev` con:

<div class="termy">

```console

 * those implied by the returned execution delay.
 *
 * Cancellation
 * ------------
 *
 * Tasks may be canceled while they are waiting to be executed, or while they are executing.
 *
 * Canceling a task that is waiting to execute prevents that upcoming execution. Canceling a task
 * that is currently executing does not impact the ongoing run, but it does prevent a recurrence
 * from being scheduled.
 *