Y devuelve un header `WWW-Authenticate` con un valor de `Basic`, y un parámetro `realm` opcional.

Eso le dice al navegador que muestre el prompt integrado para un nombre de usuario y contraseña.

Luego, cuando escribes ese nombre de usuario y contraseña, el navegador los envía automáticamente en el header.

## Simple HTTP Basic Auth { #simple-http-basic-auth }

* Importa `HTTPBasic` y `HTTPBasicCredentials`.

That means that, clients using your API don't have to check if the value exists or not, they can **assume the field will always be there**, but just that in some cases it will have the default value of `None`.

The way to describe this in OpenAPI, is to mark that field as **required**, because it will always be there.

Because of that, the JSON Schema for a model can be different depending on if it's used for **input or output**:

authors:
  - family-names: Abadi
    given-names: Martín
  - family-names: Agarwal

      // can happen because multiple locks may share the same LockGraphNode. In
      // this situation, throw an IllegalStateException as defined by contract
      // described in the documentation of WithExplicitOrdering.
      Preconditions.checkState(
          this != acquiredLock,
          "Attempted to acquire multiple locks with the same rank %s",
          acquiredLock.getLockName());

### Qué es un Programa { #what-is-a-program }

La palabra **programa** se usa comúnmente para describir muchas cosas:

* El **código** que escribes, los **archivos Python**.
* El **archivo** que puede ser **ejecutado** por el sistema operativo, por ejemplo: `python`, `python.exe` o `uvicorn`.

The `TestClient` is based on [HTTPX](https://www.python-httpx.org), and luckily, we can use it directly to test the API.

## Example { #example }

For a simple example, let's consider a file structure similar to the one described in [Bigger Applications](../tutorial/bigger-applications.md) and [Testing](../tutorial/testing.md):

```
.
├── app
│   ├── __init__.py
│   ├── main.py
│   └── test_main.py
```

## En savoir plus { #learn-more }

Vous pouvez en apprendre davantage sur **GraphQL** dans la [documentation officielle de GraphQL](https://graphql.org/).

TensorFlow via the command `import tensorflow as tf`.

The primary function of this module is to import all of the public TensorFlow
interfaces into a single place. The interfaces themselves are located in
sub-modules, as described below.

Note that the file `__init__.py` in the TensorFlow source code tree is actually
only a placeholder to enable test cases to run. The TensorFlow build replaces

// metrics group.
func (mg *MetricsGroup) IsBucketMetricsGroup() bool {
	return mg.bucketLoader != nil
}

// Describe - implements prometheus.Collector interface.
func (mg *MetricsGroup) Describe(ch chan<- *prometheus.Desc) {
	for _, desc := range mg.Descriptors {
		ch <- desc.toPromDesc(mg.CollectorPath.metricPrefix(), mg.ExtraLabels)
	}
}

* `description`: un `str` con una breve descripción de la etiqueta. Puede tener Markdown y se mostrará en la interfaz de documentación.
* `externalDocs`: un `dict` que describe documentación externa con:
    * `description`: un `str` con una breve descripción para la documentación externa.
    * `url` (**requerido**): un `str` con la URL para la documentación externa.