ListIterator<DependencyNode> iter = collectStepTrace
                        .getPath()
                        .listIterator(collectStepTrace.getPath().size());
                while (iter.hasPrevious()) {
                    DependencyNode curr = iter.previous();
                    indent.append("  ");

You can set them as follows:

{* ../../docs_src/metadata/tutorial001_py39.py hl[3:16, 19:32] *}

/// tip

You can write Markdown in the `description` field and it will be rendered in the output.

///

With this configuration, the automatic API docs would look like:

<img src="/img/tutorial/metadata/image01.png">

		var b strings.Builder
		b.WriteString("| Name | Type | Help | Labels |\n")
		b.WriteString("| ---- | ---- | ---- | ------ |\n")
		for _, metric := range metrics {
			b.WriteString(metric.TableRow())
		}
		w.Write([]byte(b.String()))
	})
}

func (h *metricsV3Server) handle(path string, isListingRequest bool, buckets []string) http.Handler {

    @TaskAction
    def transform() {
        XIncludeAwareXmlProvider provider = new XIncludeAwareXmlProvider()
        provider.parse(sourceFile.get().asFile)
        transformDocument(provider.document)
        provider.write(destFile.get().asFile)
    }

    private def transformDocument(Document mainDocbookTemplate) {
        ClassMetaDataRepository<ClassMetaData> classRepository = new SimpleClassMetaDataRepository<ClassMetaData>()

// NewChecksumFromData returns a new Checksum, using specified algorithm type on data.
func NewChecksumFromData(t ChecksumType, data []byte) *Checksum {
	if !t.IsSet() {
		return nil
	}
	h := t.Hasher()
	h.Write(data)
	raw := h.Sum(nil)
	c := Checksum{Type: t, Encoded: base64.StdEncoding.EncodeToString(raw), Raw: raw}
	if !c.Valid() {
		return nil
	}
	return &c
}

{* ../../docs_src/websockets/tutorial003_py39.py hl[79:81] *}

To try it out:

* Open the app with several browser tabs.
* Write messages from them.
* Then close one of the tabs.

That will raise the `WebSocketDisconnect` exception, and all the other clients will receive a message like:

```
Client #1596980209979 left the chat
```

¿Era `upper`? ¿Era `uppercase`? `first_uppercase`? `capitalize`?

Entonces, pruebas con el amigo del viejo programador, el autocompletado del editor.

Escribes el primer parámetro de la función, `first_name`, luego un punto (`.`) y luego presionas `Ctrl+Espacio` para activar el autocompletado.

Pero, tristemente, no obtienes nada útil:

<img src="/img/python-types/image01.png">

**FastAPI** will take that model, generate its JSON Schema and include it in the correct place in OpenAPI.

For example, to declare another response with a status code `404` and a Pydantic model `Message`, you can write:

{* ../../docs_src/additional_responses/tutorial001_py39.py hl[18,22] *}

/// note

Keep in mind that you have to return the `JSONResponse` directly.

///

/// info

`UploadFile` hat die folgenden `async`hronen Methoden. Sie alle rufen die entsprechenden Methoden des darunterliegenden Datei-Objekts auf (wobei intern `SpooledTemporaryFile` verwendet wird).

* `write(daten)`: Schreibt `daten` (`str` oder `bytes`) in die Datei.
* `read(anzahl)`: Liest `anzahl` (`int`) bytes/Zeichen aus der Datei.
* `seek(versatz)`: Geht zur Position `versatz` (`int`) in der Datei.

Zum Beispiel, wenn Sie `python` im Terminal eingeben, sucht das Betriebssystem nach einem Programm namens `python` im **ersten Verzeichnis** in dieser Liste.

Wenn es es findet, wird es **benutzt**. Andernfalls sucht es weiter in den **anderen Verzeichnissen**.

### Python installieren und den `PATH` aktualisieren { #installing-python-and-updating-the-path }