{4 * humanize.MiByte, 2 * humanize.MiByte, 1, 2 * humanize.MiByte},
		{4 * humanize.MiByte, 2 * humanize.MiByte, 2, 2 * humanize.MiByte},
		{4 * humanize.MiByte, 2 * humanize.MiByte, 3, 0},
		// part size 2MiB, total size 5MiB
		{5 * humanize.MiByte, 2 * humanize.MiByte, 1, 2 * humanize.MiByte},
		{5 * humanize.MiByte, 2 * humanize.MiByte, 2, 2 * humanize.MiByte},
		{5 * humanize.MiByte, 2 * humanize.MiByte, 3, 1 * humanize.MiByte},

    .connectionSpecs(Arrays.asList(ConnectionSpec.MODERN_TLS, ConnectionSpec.COMPATIBLE_TLS))
    .build();
```

El parámetro `lifespan` de la app de `FastAPI` toma un **async context manager**, por lo que podemos pasar nuestro nuevo `lifespan` async context manager a él.

{* ../../docs_src/events/tutorial003_py39.py hl[22] *}

## Eventos Alternativos (obsoleto) { #alternative-events-deprecated }

/// warning | Advertencia

- login: connebs
  count: 22
  avatarUrl: https://avatars.githubusercontent.com/u/9054108?u=e151d5f545a3395136d711c227c22032fda67cfa&v=4
  url: https://github.com/connebs
- login: nymous
  count: 22
  avatarUrl: https://avatars.githubusercontent.com/u/4216559?u=360a36fb602cded27273cbfc0afc296eece90662&v=4
  url: https://github.com/nymous
- login: chrisK824
  count: 22

{* ../../docs_src/response_model/tutorial003_py310.py hl[24] *}

...we declared the `response_model` to be our model `UserOut`, that doesn't include the password:

{* ../../docs_src/response_model/tutorial003_py310.py hl[22] *}

So, **FastAPI** will take care of filtering out all the data that is not declared in the output model (using Pydantic).

### `response_model` or Return Type { #response-model-or-return-type }

{* ../../docs_src/response_model/tutorial003_py310.py hl[24] *}

...declaramos o `response_model` como nosso modelo `UserOut`, que não inclui a senha:

{* ../../docs_src/response_model/tutorial003_py310.py hl[22] *}

Então, **FastAPI** cuidará de filtrar todos os dados que não são declarados no modelo de saída (usando Pydantic).

### `response_model` ou Tipo de Retorno { #response-model-or-return-type }

```

In some cases, it's even possible to have both Pydantic v1 and v2 models in the same **path operation** in your FastAPI app:

{* ../../docs_src/pydantic_v1_in_v2/tutorial003_an_py310.py hl[2:3,6,12,21:22] *}

In this example above, the input model is a Pydantic v1 model, and the output model (defined in `response_model=ItemV2`) is a Pydantic v2 model.

### Pydantic v1 parameters { #pydantic-v1-parameters }

... haben wir deklariert, dass `response_model` das Modell `UserOut` ist, welches das Passwort nicht enthält:

{* ../../docs_src/response_model/tutorial003_py310.py hl[22] *}

Darum wird **FastAPI** sich darum kümmern, dass alle Daten, die nicht im Ausgabemodell deklariert sind, herausgefiltert werden (mittels Pydantic).

### `response_model` oder Rückgabewert { #response-model-or-return-type }

	// the base register of shift operations must be general register.
	if reg > arm64.REG_R31 || reg < arm64.REG_R0 {
		return 0, errors.New("invalid register for shift operation")
	}
	return int64(reg&31)<<16 | int64(op)<<22 | int64(uint16(count)), nil
}

// ARM64RegisterArrangement constructs an ARM64 vector register arrangement.
func ARM64RegisterArrangement(reg int16, name, arng string) (int64, error) {
	var curQ, curSize uint16

    // Check with modifiable copies of the list
    new PeekingIteratorTester<T>(list).test();

    // Check with unmodifiable lists
    new IteratorTester<T>(
        list.size() * 2 + 2, UNMODIFIABLE, list, IteratorTester.KnownOrder.KNOWN_ORDER) {
      @Override
      protected Iterator<T> newTargetIterator() {
        Iterator<T> iterator = unmodifiableList(list).iterator();