```JSON
{
  "detail": "Not authenticated"
}
```

### Inaktiver Benutzer { #inactive-user }

Versuchen Sie es nun mit einem inaktiven Benutzer und authentisieren Sie sich mit:

Benutzer: `alice`.

Passwort: `secret2`.

Und versuchen Sie, die Operation `GET` mit dem Pfad `/users/me` zu verwenden.

Sie erhalten die Fehlermeldung „Inactive user“:

```JSON
{
  "detail": "Inactive user"

```JSON
{
  "detail": "Not authenticated"
}
```

### Inactive user { #inactive-user }

Now try with an inactive user, authenticate with:

User: `alice`

Password: `secret2`

And try to use the operation `GET` with the path `/users/me`.

You will get an "Inactive user" error, like:

```JSON
{
  "detail": "Inactive user"
}
```

			Typeflag: TypeSymlink,
		},
		fm: 0777 | fs.ModeSymlink,
	}, {
		// character device node.
		h: &Header{
			Name:     "dev/null",
			Mode:     0666,
			Size:     0,
			ModTime:  time.Unix(1360578951, 0),
			Typeflag: TypeChar,
		},
		fm: 0666 | fs.ModeDevice | fs.ModeCharDevice,
	}, {
		// block device node.
		h: &Header{
			Name:     "dev/sda",
			Mode:     0660,
			Size:     0,

		Usage:  "custom TCP_USER_TIMEOUT for socket buffers",
		Hidden: true,
		Value:  10 * time.Minute,
		EnvVar: "MINIO_CONN_USER_TIMEOUT",
	},
	cli.StringFlag{
		Name:   "interface",
		Usage:  "bind to right VRF device for MinIO services",
		Hidden: true,
		EnvVar: "MINIO_INTERFACE",
	},
	cli.DurationFlag{
		Name:   "dns-cache-ttl",
		Usage:  "custom DNS cache TTL",
		Hidden: true,
		Value: func() time.Duration {

Vamos a llamarlas "**operaciones**" también.

#### Define un *path operation decorator* { #define-a-path-operation-decorator }

{* ../../docs_src/first_steps/tutorial001_py39.py hl[6] *}

El `@app.get("/")` le dice a **FastAPI** que la función justo debajo se encarga de manejar requests que vayan a:

* el path `/`
* usando una <abbr title="un método HTTP GET"><code>get</code> operation</abbr>

 * class to read a response that is larger than the entire memory allocated to the current process.
 * It can even stream a response larger than the total storage on the current device, which is a
 * common requirement for video streaming applications.
 *
 * Because this class does not buffer the full response in memory, the application may not

[CUDA-enabled GPU cards](https://www.tensorflow.org/install/gpu) *(Ubuntu and
Windows)*:

```
$ pip install tensorflow
```

Other devices (DirectX and MacOS-metal) are supported using
[Device Plugins](https://www.tensorflow.org/install/gpu_plugins#available_devices).

A smaller CPU-only package is also available:

```
$ pip install tensorflow-cpu
```

# Handling Errors { #handling-errors }

There are many situations in which you need to notify an error to a client that is using your API.

This client could be a browser with a frontend, a code from someone else, an IoT device, etc.

You could need to tell the client that:

* The client doesn't have enough privileges for that operation.
* The client doesn't have access to that resource.
* The item the client was trying to access doesn't exist.
* etc.

      Work (including but not limited to damages for loss of goodwill,
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      other commercial damages or losses), even if such Contributor
      has been advised of the possibility of such damages.

   9. Accepting Warranty or Additional Liability. While redistributing
      the Work or Derivative Works thereof, You may choose to offer,

      Work (including but not limited to damages for loss of goodwill,
      work stoppage, computer failure or malfunction, or any and all
      other commercial damages or losses), even if such Contributor
      has been advised of the possibility of such damages.

   9. Accepting Warranty or Additional Liability. While redistributing
      the Work or Derivative Works thereof, You may choose to offer,