/**
 * A {@link ValueGraph} whose elements and structural relationships will never change. Instances of
 * this class may be obtained with {@link #copyOf(ValueGraph)}.
 *
 * <p>See the Guava User's Guide's <a
 * href="https://github.com/google/guava/wiki/GraphsExplained#immutable-implementations">discussion
 * of the {@code Immutable*} types</a> for more information on the properties and guarantees
 * provided by this class.

* `/items/private/`
* `/users/{user_id}/activate`
* `/items/pro/`

그 다음 각각에 대해 그저 의존성과 하위 의존성을 사용하여 다른 권한 요구 사항을 추가할 수 있을 겁니다:

```mermaid
graph TB

current_user(["current_user"])
active_user(["active_user"])
admin_user(["admin_user"])
paying_user(["paying_user"])

public["/items/public/"]
private["/items/private/"]
activate_user["/users/{user_id}/activate"]
pro_items["/items/pro/"]

/**
 * A {@link ValueGraph} whose elements and structural relationships will never change. Instances of
 * this class may be obtained with {@link #copyOf(ValueGraph)}.
 *
 * <p>See the Guava User's Guide's <a
 * href="https://github.com/google/guava/wiki/GraphsExplained#immutable-implementations">discussion
 * of the {@code Immutable*} types</a> for more information on the properties and guarantees
 * provided by this class.

	} else if len(stmt.Schema.PrimaryFields) != 1 {
		t.Errorf("should have only one primary field with embedded struct, but got %v", len(stmt.Schema.PrimaryFields))
	}

	for _, name := range []string{"user_id", "user_name", "user_email"} {
		if !DB.Migrator().HasColumn(&HNPost{}, name) {
			t.Errorf("should has prefixed column %v", name)
		}
	}

	// save embedded struct
	DB.Save(&HNPost{BasePost: BasePost{Title: "news"}})

		// Remove user IAM
		adminRouter.Methods(http.MethodDelete).Path(adminVersion+"/remove-user").HandlerFunc(adminMiddleware(adminAPI.RemoveUser)).Queries("accessKey", "{accessKey:.*}")

		// List users
		adminRouter.Methods(http.MethodGet).Path(adminVersion+"/list-users").HandlerFunc(adminMiddleware(adminAPI.ListBucketUsers)).Queries("bucket", "{bucket:.*}")

| `Traceparent` | (Experimental) This maintains tracing information. Note this is tracing of *connections*, and is not correlated to tracing of user's own HTTP requests. However, this is useful to follow a connection across ztunnels.                                 |

## Traffic routing

```JSON
{
  "detail": "Not authenticated"
}
```

### Inactive user

Now try with an inactive user, authenticate with:

User: `alice`

Password: `secret2`

And try to use the operation `GET` with the path `/users/me`.

You will get an "Inactive user" error, like:

```JSON
{
  "detail": "Inactive user"
}
```

## Recap

    and match them against the toolchain requirements of the project (as configured in {@code pom.xml}):
    if match is found, the toolchain instance is made available to other Maven plugins.</p>
    <p>With {@code jdk} toolchain, for example, instead of being stuck with the JDK used to run Maven, all plugins can use

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

これは以下のように用いられます:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",

但最重要的是：

* 会将输出数据限制在该模型定义内。下面我们会看到这一点有多重要。

/// note | "技术细节"

响应模型在参数中被声明，而不是作为函数返回类型的注解，这是因为路径函数可能不会真正返回该响应模型，而是返回一个 `dict`、数据库对象或其他模型，然后再使用 `response_model` 来执行字段约束和序列化。

///

## 返回与输入相同的数据

现在我们声明一个 `UserIn` 模型，它将包含一个明文密码属性。

```Python hl_lines="9  11"
{!../../docs_src/response_model/tutorial002.py!}
```

我们正在使用此模型声明输入数据，并使用同一模型声明输出数据：

```Python hl_lines="17-18"
{!../../docs_src/response_model/tutorial002.py!}