- The `NamespaceDefaultLabelName` is promoted to GA in this release. All Namespace API objects have a `kubernetes.io/metadata.name` label matching their `metadata.name` field to allow selecting any `namespace` by its name using a label selector. ([#101342](https://github.com/kubernetes/kubernetes/pull/101342), [@rosenhouse](https://github.com/rosenhouse))

### API Change

- The resource/v1alpha3.ResourceSliceList filed which should have been named "metadata" but was instead named "listMeta" is now properly "metadata". ([#126761](https://github.com/kubernetes/kubernetes/pull/126761), [@thockin](https://github.com/thockin)) [SIG API Machinery]

### Feature

### Создание таблиц { #create-the-tables }

Далее мы добавим функцию, которая использует `SQLModel.metadata.create_all(engine)`, чтобы **создать таблицы** для всех *моделей-таблиц*.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[21:22] hl[21:22] *}

### Создание зависимости Session { #create-a-session-dependency }

### Create the Tables { #create-the-tables }

We then add a function that uses `SQLModel.metadata.create_all(engine)` to **create the tables** for all the *table models*.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[21:22] hl[21:22] *}

### Create a Session Dependency { #create-a-session-dependency }

### Die Tabellen erstellen { #create-the-tables }

Dann fügen wir eine Funktion hinzu, die `SQLModel.metadata.create_all(engine)` verwendet, um die **Tabellen für alle *Tabellenmodelle* zu erstellen**.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[21:22] hl[21:22] *}

///

**FastAPI**는 모두 Pydantic에 기반을 두고 있습니다.

이 모든 것은 [자습서 - 사용자 안내서](tutorial/index.md)에서 실제로 많이 보게 될 것입니다.

## 메타데이터 애너테이션이 있는 타입 힌트 { #type-hints-with-metadata-annotations }

파이썬에는 `Annotated`를 사용해 이러한 타입 힌트에 **추가 <dfn title="데이터에 대한 데이터, 여기서는 타입에 대한 정보(예: 설명)">메타데이터</dfn>**를 넣을 수 있는 기능도 있습니다.

`Annotated`는 `typing`에서 import할 수 있습니다.

### Crear las Tablas { #create-the-tables }

Luego añadimos una función que usa `SQLModel.metadata.create_all(engine)` para **crear las tablas** para todos los *modelos de tabla*.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[21:22] hl[21:22] *}

# Release 2.16.2

### Bug Fixes and Other Changes

*  Fixed: Incorrect dependency metadata in TensorFlow Python packages causing installation failures with certain package managers such as Poetry.

# Release 2.16.1

## TensorFlow

*   TensorFlow Windows Build:

  }

  private static boolean hasAutomaticNullChecksFromKotlin(Member member) {
    for (Annotation annotation : member.getDeclaringClass().getAnnotations()) {
      if (annotation.annotationType().getName().equals("kotlin.Metadata")) {
        return true;
      }
    }
    return false;
  }

  /**
   * Returns true if the given member is a method that overrides {@link Object#equals(Object)}.
   *

### Créer les tables { #create-the-tables }

Nous ajoutons ensuite une fonction qui utilise `SQLModel.metadata.create_all(engine)` pour **créer les tables** pour tous les *modèles de table*.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[21:22] hl[21:22] *}