if err != nil {
		// Failed to create newbucket, abort.
		t.Fatalf("%s : %s", instanceType, err.Error())
	}

	var (
		nilBytes    []byte
		data        = []byte("hello")
		fiveMBBytes = bytes.Repeat([]byte("a"), 5*humanize.MiByte)
	)
	invalidMD5 := getMD5Hash([]byte("meh"))
	invalidMD5Header := md5Header([]byte("meh"))

	testCases := []struct {
		bucketName    string

    @Test
    public void testEncodingSpecialCharacters() {
        CurlRequest request = new CurlRequest(Method.GET, "https://example.com");

        // Test encoding of special characters
        request.param("query", "hello world & more");
        request.param("special", "ñ€±");

        // Should not throw exception
        assertNotNull(request);
    }

    @Test
    public void testUnsupportedEncodingThrowsException() {

## Request body + path + parámetros de query { #request-body-path-query-parameters }

También puedes declarar parámetros de **body**, **path** y **query**, todos al mismo tiempo.

**FastAPI** reconocerá cada uno de ellos y tomará los datos del lugar correcto.

{* ../../docs_src/body/tutorial004_py310.py hl[16] *}

Los parámetros de la función se reconocerán de la siguiente manera:

La « diffusion en continu » de données signifie que votre application commence à envoyer des éléments de données au client sans attendre que l'ensemble de la séquence soit prêt.

Ainsi, elle enverra le premier élément, le client le recevra et commencera à le traiter, et vous pourriez être encore en train de produire l'élément suivant.

```mermaid
sequenceDiagram
    participant App
    participant Client

            this.progressHandler = progressHandler;
            this.progressLogger = getProgressLoggerFactory().newOperation("vagrant");
            progressLogger.start(extension.getBox() + "> " + command, "hello");
        }

        @Override
        protected void logLine(String line) {
            String progress = progressHandler.apply(line);
            if (progress != null) {

### Créer { #create-it }

Créez un fichier `main.py` avec :

```Python
from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: str | None = None):
    return {"item_id": item_id, "q": q}
```

<details markdown="1">

    <module name="OneStatementPerLine" />

    <!-- Each java file has only one outer class -->
    <module name="OneTopLevelClass" />

    <!-- The suffix L is preferred, because the letter l (ell) is often
      hard to distinguish from the digit 1 (one). -->
    <module name="UpperEll" />

    <module name="EqualsHashCode" />

    <!-- Checks that the order of modifiers conforms to the suggestions in the

### Create it { #create-it }

Create a file `main.py` with:

```Python
from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: str | None = None):
    return {"item_id": item_id, "q": q}
```

<details markdown="1">

			[]byte("foo"),
		}, {
			&Header{Name: "world", Mode: 0640, Size: int64(5)},
			[]byte("hello"),
		}},
	}, {
		"GNU",
		[]file{{
			&Header{Name: "bar", Mode: 0640, Size: int64(3), Devmajor: -1},
			[]byte("foo"),
		}, {
			&Header{Name: "world", Mode: 0640, Size: int64(5), Devmajor: -1},
			[]byte("hello"),
		}},
	}, {
		"PAX",
		[]file{{

{* ../../docs_src/custom_response/tutorial009c_py310.py hl[9:14,17] *}

現在，不再是回傳：

```json
{"message": "Hello World"}
```

...這個回應會回傳：

```json
{
  "message": "Hello World"
}
```

當然，你大概能找到比格式化 JSON 更好的方式來利用這個能力。😉

### `orjson` 或回應模型 { #orjson-or-response-model }