"bromfiets=>bromfiets",
          "ei=>eier",
          "kind=>kinder"
        ]
      },
      "english_keywords": {
        "type":       "keyword_marker",
        "keywords":   ["hello"]
      },
      "finnish_stop": {
        "type":       "stop",
        "stopwords":  "_finnish_"
      },
      "finnish_keywords": {
        "type":       "keyword_marker",

        final JobLog jobLog = new JobLog(scheduledJob);

        assertEquals("Test Job", jobLog.getJobName());
        assertEquals("groovy", jobLog.getScriptType());
        assertEquals("println 'hello'", jobLog.getScriptData());
        assertEquals(Constants.RUNNING, jobLog.getJobStatus());
        assertNotNull(jobLog.getStartTime());
        assertNotNull(jobLog.getLastUpdated());

    return item_group


@app.post("/tuple-of-models/")
def post_tuple_of_models(square: tuple[Coordinate, Coordinate]):
    return square


@app.post("/tuple-form/")
def hello(values: tuple[int, int] = Form()):
    return values


client = TestClient(app)


def test_model_with_tuple_valid():
    data = {"items": [["foo", "bar"], ["baz", "whatelse"]]}

labels.advance=Ricerca avanzata
labels.advance_search_title=Ricerca avanzata
labels.advance_search_must_queries=Contiene tutte le parole
labels.advance_search_phrase_query=Corrispondenza esatta della frase
labels.advance_search_should_queries=Contiene una qualsiasi delle parole
labels.advance_search_not_queries=Non contiene le parole
labels.advance_search_filetype=Tipo di file
labels.advance_search_filetype_default=Tutti i tipi

    ],
    root_path="/api/v1",
    root_path_in_servers=False,
)


@app.get("/app")
def read_main(request: Request):

hello world dir/bar foo readonly important...

    "data": "aGVsbG8="
}
```

/// tip | Consejo

`aGVsbG8=` es la codificación base64 de `hello`.

///

Y luego Pydantic decodificará el string base64 y te dará los bytes originales en el campo `data` del modelo.

Recibirás una response como:

```json
{
  "description": "Some data",
  "content": "hello"
}
```

## Pydantic `bytes` para datos de salida { #pydantic-bytes-for-output-data }

{"hello":"wor{l}d"}...

{"text": "hello world\\n2nd line"}...

from typing import Annotated


def say_hello(name: Annotated[str, "this is just metadata"]) -> str: