* have the provided key, an empty collection is returned.
   *
   * <p>Changes to the returned collection will update the underlying multimap, and vice versa.
   *
   * <p>Because a {@code SortedSetMultimap} has unique sorted values for a given key, this method
   * returns a {@link SortedSet}, instead of the {@link java.util.Collection} specified in the

  public void testPutAllNullValueSingle_unsupported() {
    multimap().putAll(k1(), newArrayList((V) null));
    expectUnchanged();
  }

  // In principle, it would be nice to apply these two tests to keys with existing values, too.

  @MapFeature.Require(value = SUPPORTS_PUT, absent = ALLOWS_NULL_VALUES)
  public void testPutAllNullValueNullLast_unsupported() {
    int size = getNumElements();

/blog/fastapi-sqlalchemy/ title: 10 Tips for adding SQLAlchemy to FastAPI - author: Jessica Temporal author_link: https://jtemporal.com/socials link: https://jtemporal.com/tips-on-migrating-from-flask-to-fastapi-and-vice-versa/ title: Tips on migrating from Flask to FastAPI and vice-versa - author: Ankit Anchlia author_link: https://linkedin.com/in/aanchlia21 link: https://hackernoon.com/explore-how-to-effectively-use-jwt-with-fastapi title: Explore How to Effectively Use JWT With FastAPI - author:...

    private final DcerpcHandle handle;
    private boolean opened;

    /**
     * Creates a new SAM alias handle.
     *
     * @param handle the DCE/RPC handle for communication
     * @param domainHandle the domain handle containing this alias
     * @param access the desired access rights
     * @param rid the relative identifier of the alias

{* ../../docs_src/events/tutorial001.py hl[8] *}

In this case, the `startup` event handler function will initialize the items "database" (just a `dict`) with some values.

You can add more than one event handler function.

And your application won't start receiving requests until all the `startup` event handlers have completed.

Nesse caso, existem 3 parâmetros de consulta:

* `needy`, um `str` obrigatório.
* `skip`, um `int` com o valor padrão `0`.
* `limit`, um `int` opcional.

/// tip | Dica

Você também poderia usar `Enum` da mesma forma que com [Path Parameters](path-params.md#valores-predefinidos){.internal-link target=_blank}.

    Function<Float, Boolean> c1 = Functions.compose(Functions.compose(h, g), f);
    Function<Float, Boolean> c2 = Functions.compose(h, Functions.compose(g, f));

    // Might be nice (eventually) to have:
    //     assertEquals(c1, c2);

    // But for now, settle for this:
    assertEquals(c1.hashCode(), c2.hashCode());

    assertEquals(c1.apply(1.0f), c2.apply(1.0f));

Por padrão, tudo **"simplesmente funciona"**.

### Validação

* Validação para a maioria dos (ou todos?) **tipos de dados** do Python, incluindo:
    * objetos JSON (`dict`).
    * arrays JSON (`list`), definindo tipos dos itens.
    * campos String (`str`), definindo tamanho mínimo e máximo.
    * Numbers (`int`, `float`) com valores mínimos e máximos, etc.

| `minio_node_cpu_avg_iowait_max`      | CPU ioWait time (max).                     |
| `minio_node_cpu_avg_nice`            | CPU nice time.                             |
| `minio_node_cpu_avg_nice_avg`        | CPU nice time (avg).                       |
| `minio_node_cpu_avg_nice_max`        | CPU nice time (max).                       |
| `minio_node_cpu_avg_steal`           | CPU steam time.                            |

すべての属性にpython標準の型を使用します:

{* ../../docs_src/body/tutorial001.py hl[7:11] *}

クエリパラメータの宣言と同様に、モデル属性がデフォルト値をもつとき、必須な属性ではなくなります。それ以外は必須になります。オプショナルな属性にしたい場合は `None` を使用してください。

例えば、上記のモデルは以下の様なJSON「`オブジェクト`」(もしくはPythonの `dict` ) を宣言しています:

```JSON
{
    "name": "Foo",
    "description": "An optional description",
    "price": 45.2,
    "tax": 3.5
}
```