![Swagger UI Interaktion](https://fastapi.tiangolo.com/img/index/index-04-swagger-03.png)

* Klicken Sie dann auf die Taste „Execute“, die Benutzeroberfläche wird mit Ihrer API kommunizieren, sendet die Parameter, holt die Ergebnisse und zeigt sie auf dem Bildschirm an:

![Swagger UI Interaktion](https://fastapi.tiangolo.com/img/index/index-05-swagger-04.png)

It had a dependency injection system. It required pre-registration of components, as other tools discussed above. But still, it was a great feature.

I was never able to use it in a full project, as it didn't have security integration, so, I couldn't replace all the features I was having with the full-stack generators based on Flask-apispec. I had in my backlog of projects to create a pull request adding that functionality.

But then, the project's focus shifted.

![Swagger UI interaction](https://fastapi.tiangolo.com/img/index/index-04-swagger-03.png)

* Then click on the "Execute" button, the user interface will communicate with your API, send the parameters, get the results and show them on the screen:

![Swagger UI interaction](https://fastapi.tiangolo.com/img/index/index-05-swagger-04.png)

### Alternative API docs upgrade

#include "tensorflow/c/tf_status_internal.h"
#include "tensorflow/core/lib/core/status_test_util.h"
#include "tensorflow/core/platform/test.h"

// NOTE(allenl): These tests currently go through TFE_Execute and so are
// integration testing rather than purely testing the parallel device. They
// correspond fairly well to the implementation, but testing the C++ directly is
// another option.

namespace tensorflow {
namespace parallel_device {

* **Sin comprometerse** con bases de datos, frontend, etc. Pero permitiendo integración fácil con todos ellos.

### "Plug-ins" ilimitados

O dicho de otra manera, no hay necesidad para "plug-ins". Importa y usa el código que necesites.

* **Aucun compromis** avec les bases de données, les frontends, etc. Mais une intégration facile avec n'importe lequel d'entre eux.

### "Plug-ins" illimités

Ou, en d'autres termes, pas besoin d'eux, importez le code que vous voulez et utilisez le.

   * described in the class documentation.
   *
   * @throws NullPointerException if any of {@code elements} is null
   * @since 6.0
   */
  public static <E> ImmutableMultiset<E> copyOf(E[] elements) {
    return copyFromElements(elements);
  }

  /**
   * Returns an immutable multiset containing the given elements, in the "grouped iteration order"

 * }</pre>
 *
 * ... the iteration order for {@link #keys()} is {@code [key1, key2, key1]}, and similarly for
 * {@link #entries()}. Unlike {@link LinkedHashMultimap}, the iteration order is kept consistent
 * between keys, entries and values. For example, calling:
 *
 * <pre>{@code
 * multimap.remove(key1, foo);
 * }</pre>
 *
 * <p>changes the entries iteration order to {@code [key2=bar, key1=baz]} and the key iteration

     * This iteration has the following two properties:
     *
     * a) every iteration (except potentially the first) has guess >= floor(sqrt(x)). This is
     * because guess' is the arithmetic mean of guess and x / guess, sqrt(x) is the geometric mean,
     * and the arithmetic mean is always higher than the geometric mean.
     *

   * described in the class documentation.
   *
   * @throws NullPointerException if any of {@code elements} is null
   * @since 6.0
   */
  public static <E> ImmutableMultiset<E> copyOf(E[] elements) {
    return copyFromElements(elements);
  }

  /**
   * Returns an immutable multiset containing the given elements, in the "grouped iteration order"