</list>
      </value>
    </option>
  </component>
  <component name="ProjectRootManager" version="2" languageLevel="JDK_1_8" project-jdk-name="17" project-jdk-type="JavaSDK" />

//// tab | Python 3.9+

```Python hl_lines="18"
{!> ../../docs_src/dependencies/tutorial011_an_py39.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="17"
{!> ../../docs_src/dependencies/tutorial011_an.py!}
```

////

//// tab | Python 3.8+ nicht annotiert

/// tip | "Tipp"

Bevorzugen Sie die `Annotated`-Version, falls möglich.

///

    runs-on: ${{ matrix.os }}

    steps:
      - uses: actions/checkout@v4
        with:
          persist-credentials: false

      - uses: actions/setup-java@v4
        with:
          java-version: 17
          distribution: 'temurin'
          cache: 'maven'

      - name: Set up Maven
        run:

              }
            ]
          },
          "unit": "bytes"
        },
        "overrides": []
      },
      "gridPos": {
        "h": 8,
        "w": 12,
        "x": 0,
        "y": 17
      },
      "id": 902,
      "links": [],
      "options": {
        "legend": {
          "calcs": [],
          "displayMode": "list",
          "placement": "bottom",
          "showLegend": true

Nehmen wir an, Sie haben ein Pydantic-Modell mit Defaultwerten wie dieses:

//// tab | Python 3.10+

```Python hl_lines="7"
{!> ../../docs_src/separate_openapi_schemas/tutorial001_py310.py[ln:1-7]!}

# Code unterhalb weggelassen 👇
```

<details>
<summary>👀 Vollständige Dateivorschau</summary>

```Python
{!> ../../docs_src/separate_openapi_schemas/tutorial001_py310.py!}
```

</details>

5.  Our classes are not designed to protect against a malicious caller. You
    should not use them for communication between trusted and untrusted code.

6.  For the mainline flavor, we test the libraries using OpenJDK 8, 11, and 17
    on Linux, with some additional testing on newer JDKs and on Windows. Some
    features, especially in `com.google.common.io`, may not work correctly in

    @Override
    public SampleElements<Entry<String, Integer>> samples() {
      return new SampleElements<>(
          mapEntry("foo", 5),
          mapEntry("bar", 3),
          mapEntry("baz", 17),
          mapEntry("quux", 1),
          mapEntry("toaster", -2));
    }

    @SuppressWarnings("unchecked")
    @Override
    public Entry<String, Integer>[] createArray(int length) {

## Pydantic Models for Input and Output

Let's say you have a Pydantic model with default values, like this one:

{* ../../docs_src/separate_openapi_schemas/tutorial001_py310.py ln[1:7] hl[7] *}

### Model for Input

If you use this model as an input like here:

{* ../../docs_src/separate_openapi_schemas/tutorial001_py310.py ln[1:15] hl[14] *}

对于这种情况，不必在声明*路径操作函数*的参数时使用 `Depends`，而是可以在*路径操作装饰器*中添加一个由 `dependencies` 组成的 `list`。

## 在*路径操作装饰器*中添加 `dependencies` 参数

*路径操作装饰器*支持可选参数 ~ `dependencies`。

该参数的值是由 `Depends()` 组成的 `list`：

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

路径操作装饰器依赖项（以下简称为**“路径装饰器依赖项”**）的执行或解析方式和普通依赖项一样，但就算这些依赖项会返回值，它们的值也不会传递给*路径操作函数*。

/// tip | "提示"

有些编辑器会检查代码中没使用过的函数参数，并显示错误提示。

    val buffer = Buffer()
    operator.read(6, buffer, 21)
    operator.read(36, buffer, 1)
    operator.read(5, buffer, 5)
    operator.read(28, buffer, 8)
    operator.read(17, buffer, 10)
    operator.read(36, buffer, 2)
    operator.read(2, buffer, 4)
    operator.write(0, buffer, buffer.size)
    operator.read(0, buffer, 12)
    operator.read(47, buffer, 3)
    operator.read(45, buffer, 2)