CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
    TFE_Execute(matmul, &retvals[0], &num_retvals, status);
    CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
    if (state.iterations() >= state.max_iterations && async) {
      TFE_Executor* executor = TFE_ContextGetExecutorForThread(ctx);
      TFE_ExecutorWaitForAllPendingNodes(executor, status);

type OpenIDClientAppParams struct {
	ClientID, ClientSecret, ProviderURL, RedirectURL string
}

// MockOpenIDTestUserInteraction - tries to login to dex using provided credentials.
// It performs the user's browser interaction to login and retrieves the auth
// code from dex and exchanges it for a JWT.
func MockOpenIDTestUserInteraction(ctx context.Context, pro OpenIDClientAppParams, username, password string) (string, error) {

 *  Fix: Resurrect http/2 frame logging.
 *  Fix: Limit to 20 authorization attempts.

## Version 2.1.0

_2014-11-11_

 *  New: Typesafe APIs for interacting with cipher suites and TLS versions.
 *  Fix: Don't crash when mixing authorization challenges with upload retries.


## Version 2.1.0-RC1

_2014-11-04_

It could be another container, for example with <a href="https://traefik.io/" class="external-link" target="_blank">Traefik</a>, handling **HTTPS** and **automatic** acquisition of **certificates**.

/// tip

Traefik has integrations with Docker, Kubernetes, and others, so it's very easy to set up and configure HTTPS for your containers with it.

///

Luego vas al mostrador 🔀, a la tarea inicial que ya está terminada ⏯, recoges las hamburguesas 🍔, les dices gracias y las llevas a la mesa. Eso termina esa fase / tarea de interacción con el mostrador ⏹. Eso a su vez, crea una nueva tarea, "comer hamburguesas" 🔀 ⏯, pero la anterior de "conseguir hamburguesas" está terminada ⏹.

### Hamburguesas Paralelas

Then you go to the counter 🔀, to the initial task that is now finished ⏯, pick the burgers, say thanks and take them to the table. That finishes that step / task of interaction with the counter ⏹. That in turn, creates a new task, of "eating burgers" 🔀 ⏯, but the previous one of "getting burgers" is finished ⏹.

### Parallel Burgers

Es wäre tatsächlich üblich, Requests *innerhalb* einer FastAPI-Anwendung zu verwenden.

Dennoch erhielt FastAPI von Requests einiges an Inspiration.

**Requests** ist eine Bibliothek zur *Interaktion* mit APIs (als Client), während **FastAPI** eine Bibliothek zum *Erstellen* von APIs (als Server) ist.

Die beiden stehen mehr oder weniger an entgegengesetzten Enden und ergänzen sich.

Have an automatic API documentation web user interface.

///

### <a href="https://flask.palletsprojects.com" class="external-link" target="_blank">Flask</a>

Flask is a "microframework", it doesn't include database integrations nor many of the things that come by default in Django.

This simplicity and flexibility allow doing things like using NoSQL databases as the main data storage system.

  * <strong>New GUI</strong> (dashboard) allows you to get started quickly and enables the same
functionality found in the CLI as a more approachable and discoverable way of
interacting with the system. Note: the GUI is enabled by default in 1.2 clusters.

- Added the `access_mode` label to `volume_manager_selinux_*` metrics. ([#123667](https://github.com/kubernetes/kubernetes/pull/123667), [@jsafrane](https://github.com/jsafrane))
- Enhanced cloud provider integrations to support optional, per-Node custom labels that can be supplied and applied to Nodes by the node controller. These extra labels will only be applied where the cloud provider integration supports this feature.