for key, value in project_config.items():
        metadata[key] = value
    # Get custom build config for the current package
    build_config: Dict[str, Any] = (
        config.get("tool", {}).get("pdm", {}).get("build", {})
    )
    # Override PDM build config with custom build config for this package
    for key, value in build_config.items():
        context.config.build_config[key] = value

    async def needy_dependency(fresh_value: Annotated[str, Depends(get_value, use_cache=False)]):
        return {"fresh_value": fresh_value}
    ```

=== "Python 3.8+ nicht annotiert"

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

    ```Python hl_lines="1"
    async def needy_dependency(fresh_value: str = Depends(get_value, use_cache=False)):

### Working with Python *enumerations*

The value of the *path parameter* will be an *enumeration member*.

#### Compare *enumeration members*

You can compare it with the *enumeration member* in your created enum `ModelName`:

```Python hl_lines="17"
{!../../../docs_src/path_params/tutorial005.py!}
```

#### Get the *enumeration value*

```Python
old_dict = {
    "old key": "old value",
    "second old key": "second old value",
}
new_dict = {**old_dict, "new key": "new value"}
```

Ici, `new_dict` contiendra toutes les paires clé-valeur de `old_dict` plus la nouvelle paire clé-valeur :

```Python
{
    "old key": "old value",
    "second old key": "second old value",
    "new key": "new value",
}
```

                    "loc": ["body", "username"],
                    "msg": "field required",
                    "type": "value_error.missing",
                },
                {
                    "loc": ["body", "password"],
                    "msg": "field required",
                    "type": "value_error.missing",
                },
            ]
        }
    )

def deep_dict_update(main_dict: Dict[Any, Any], update_dict: Dict[Any, Any]) -> None:
    for key, value in update_dict.items():
        if (
            key in main_dict
            and isinstance(main_dict[key], dict)
            and isinstance(value, dict)
        ):
            deep_dict_update(main_dict[key], value)
        elif (
            key in main_dict
            and isinstance(main_dict[key], list)

                    "loc": ["header", "x-token"],
                    "msg": "field required",
                    "type": "value_error.missing",
                },
                {
                    "loc": ["header", "x-key"],
                    "msg": "field required",
                    "type": "value_error.missing",
                },
            ]
        }
    )


def test_get_no_headers_users():

                    "type": "value_error.missing",
                },
                {
                    "loc": ["query", "skip"],
                    "msg": "value is not a valid integer",
                    "type": "type_error.integer",
                },
                {
                    "loc": ["query", "limit"],
                    "msg": "value is not a valid integer",

```Python hl_lines="17"
{!../../../docs_src/path_params/tutorial005.py!}
```

#### 获取*枚举值*

使用 `model_name.value` 或 `your_enum_member.value` 获取实际的值（本例中为**字符串**）：

```Python hl_lines="20"
{!../../../docs_src/path_params/tutorial005.py!}
```

!!! tip "提示"

    使用 `ModelName.lenet.value` 也能获取值 `"lenet"`。

#### 返回*枚举元素*

即使嵌套在 JSON 请求体里（例如， `dict`），也可以从*路径操作*返回*枚举元素*。

            "loc": [
                "path",
                "item_id"
            ],
            "msg": "value is not a valid integer",
            "type": "type_error.integer"
        }
    ]
}

```

被替换为了以下文本格式的错误信息：

```
1 validation error
path -> item_id
  value is not a valid integer (type=type_error.integer)

```

### `RequestValidationError` vs `ValidationError`