Vendoring in std and cmd
========================

The Go command maintains copies of external packages needed by the
standard library in the src/vendor and src/cmd/vendor directories.

There are two modules, std and cmd, defined in src/go.mod and
src/cmd/go.mod. When a package outside std or cmd is imported
by a package inside std or cmd, the import path is interpreted
as if it had a "vendor/" prefix. For example, within "crypto/tls",

    {!> ../../../docs_src/dependencies/tutorial006_an_py39.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="18"
    {!> ../../../docs_src/dependencies/tutorial006_an.py!}
    ```

=== "Python 3.8 без Annotated"

    !!! Подсказка
        Рекомендуется использовать версию с Annotated, если возможно.

    ```Python hl_lines="17"
    {!> ../../../docs_src/dependencies/tutorial006.py!}
    ```

Zuerst müssen Sie `BaseModel` von `pydantic` importieren:

=== "Python 3.10+"

    ```Python hl_lines="2"
    {!> ../../../docs_src/body/tutorial001_py310.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="4"
    {!> ../../../docs_src/body/tutorial001.py!}
    ```

## Erstellen Sie Ihr Datenmodell

Dann deklarieren Sie Ihr Datenmodell als eine Klasse, die von `BaseModel` erbt.

First, you need to import `BaseModel` from `pydantic`:

=== "Python 3.10+"

    ```Python hl_lines="2"
    {!> ../../../docs_src/body/tutorial001_py310.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="4"
    {!> ../../../docs_src/body/tutorial001.py!}
    ```

## Create your data model

Then you declare your data model as a class that inherits from `BaseModel`.

=== "Python 3.10+"

    ```Python hl_lines="4"
    {!> ../../../docs_src/body_fields/tutorial001_an_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="4"
    {!> ../../../docs_src/body_fields/tutorial001_an_py39.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="4"
    {!> ../../../docs_src/body_fields/tutorial001_an.py!}
    ```

=== "Python 3.10+ non-Annotated"

if [ "${rep_obj1_etag}" != "${src_obj1_etag}" ]; then
	echo "BUG: Etag: '${rep_obj1_etag}' of replicated object: 'minio2/test-bucket/encrypted' doesn't match with source value: '${src_obj1_etag}'"
	exit_1
fi
if [ "${rep_obj1_size}" != "${src_obj1_size}" ]; then
	echo "BUG: Size: '${rep_obj1_size}' of replicated object: 'minio2/test-bucket/encrypted' doesn't match with source value: '${src_obj1_size}'"
	exit_1
fi

首先，导入 `Cookie`：

=== "Python 3.10+"

    ```Python hl_lines="3"
    {!> ../../../docs_src/cookie_params/tutorial001_an_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="3"
    {!> ../../../docs_src/cookie_params/tutorial001_an_py39.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="3"
    {!> ../../../docs_src/cookie_params/tutorial001_an.py!}
    ```

=== "Python 3.10+ non-Annotated"

    {!> ../../../docs_src/dependencies/tutorial006_an_py39.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="18"
    {!> ../../../docs_src/dependencies/tutorial006_an.py!}
    ```

=== "Python 3.8 nicht annotiert"

    !!! tip "Tipp"
        Bevorzugen Sie die `Annotated`-Version, falls möglich.

    ```Python hl_lines="17"
    {!> ../../../docs_src/dependencies/tutorial006.py!}
    ```

## API 文档

Pydantic 模型的 JSON 概图是 OpenAPI 生成的概图部件，可在 API 文档中显示：

<img src="/img/tutorial/body/image01.png">

而且，还会用于 API 文档中使用了概图的*路径操作*：

<img src="/img/tutorial/body/image02.png">

## 编辑器支持

在编辑器中，函数内部均可使用类型提示、代码补全（如果接收的不是 Pydantic 模型，而是**字典**，就没有这样的支持）：

<img src="/img/tutorial/body/image03.png">

还支持检查错误的类型操作：

<img src="/img/tutorial/body/image04.png">

这并非偶然，整个 **FastAPI** 框架都是围绕这种思路精心设计的。

    ```Python hl_lines="3"
    {!> ../../../docs_src/request_files/tutorial001_an_py39.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="1"
    {!> ../../../docs_src/request_files/tutorial001_an.py!}
    ```

=== "Python 3.8+ non-Annotated"

    !!! tip
        Prefer to use the `Annotated` version if possible.

    ```Python hl_lines="1"
    {!> ../../../docs_src/request_files/tutorial001.py!}
    ```