```json
{
    "description": "Some data",
    "data": "aGVsbG8="
}
```

/// tip | 팁

`aGVsbG8=`는 `hello`의 base64 인코딩입니다.

///

그러면 Pydantic이 base64 문자열을 디코딩하여 모델의 `data` 필드에 원래 바이트를 제공합니다.

다음과 같은 응답을 받게 됩니다:

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

## 출력 데이터용 Pydantic `bytes` { #pydantic-bytes-for-output-data }

    public void test_toLowercaseWildcard_enabled() {
        queryCommand.setLowercaseWildcard(true);

        assertEquals("test", queryCommand.toLowercaseWildcard("TEST"));
        assertEquals("hello", queryCommand.toLowercaseWildcard("Hello"));
        assertEquals("mixed123", queryCommand.toLowercaseWildcard("MiXeD123"));
        assertEquals("already_lower", queryCommand.toLowercaseWildcard("already_lower"));
    }

    @Test

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

/// tip | Tipp

`aGVsbG8=` ist die base64-Kodierung von `hello`.

///

Anschließend dekodiert Pydantic den base64-String und stellt Ihnen die ursprünglichen Bytes im Feld `data` des Modells bereit.

Sie erhalten eine Response wie:

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

## Pydantic `bytes` für Ausgabedaten { #pydantic-bytes-for-output-data }

import uvicorn
from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def root():
    a = "a"
    b = "b" + a
    return {"hello world": b}


if __name__ == "__main__":

  }

  public void testScheduleCallable() throws Exception {
    Callable<String> callable = () -> "hello";

    ListenableScheduledFuture<String> future =
        executorService.schedule(callable, Duration.ofMinutes(12));

    assertThat(future.get()).isEqualTo("hello");
    assertThat(recordedTimeUnit).isEqualTo(NANOSECONDS);
    assertThat(Duration.ofNanos(recordedDelay)).isEqualTo(Duration.ofMinutes(12));

                return null;
            }
        });

        mimeTypeHelper.init();

        // Null config means no override
        try (InputStream is = new ByteArrayInputStream("Hello world".getBytes(StandardCharsets.UTF_8))) {
            assertEquals("text/plain", mimeTypeHelper.getContentType(is, "test.txt"));
        }
    }

    @Test
    public void test_init_singleMapping() throws IOException {

    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"]]}

    ],
    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 }