<c:forEach var="l" varStatus="s"
                                                       items="${labelTypeItems}">
                                                <c:forEach var="ltid" varStatus="s"
                                                           items="${labelTypeIds}">
                                                    <c:if test="${ltid==l.id}">

```

1. 本例依然要从标准的 `dataclasses` 中导入 `field`；

2. 使用 `pydantic.dataclasses` 直接替换 `dataclasses`；

3. `Author` 数据类包含 `Item` 数据类列表；

4. `Author` 数据类用于 `response_model` 参数；

5. 其它带有数据类的标准类型注解也可以作为请求体；

    本例使用的是 `Item` 数据类列表；

6. 这行代码返回的是包含 `items` 的字典，`items` 是数据类列表；

    FastAPI 仍能把数据<abbr title="把数据转换为可以传输的格式">序列化</abbr>为 JSON；

7. 这行代码中，`response_model` 的类型注解是 `Author` 数据类列表；

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = Field(
        default=None, title="The description of the item", max_length=300
    )
    price: float = Field(gt=0, description="The price must be greater than zero")
    tax: float | None = None


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item = Body(embed=True)):

    if x_key != "fake-super-secret-key":
        raise HTTPException(status_code=400, detail="X-Key header invalid")
    return x_key


@app.get("/items/", dependencies=[Depends(verify_token), Depends(verify_key)])
async def read_items():

    projectId = AbsoluteId("Gradle_Master")
    settingsRootId = AbsoluteId("GradleMaster")
    settingsRoot.name = "GradleMaster"
    addParameters("branch" to "master")
}

from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None


class User(BaseModel):
    username: str
    full_name: str | None = None


@app.put("/items/{item_id}")
async def update_item(
    *,
    item_id: int,
    item: Item,
    user: User,
    importance: int = Body(gt=0),

import org.opensearch.transport.client.Client;

/**
 * SuggestBulkFileWriter is an implementation of the SuggestWriter interface.
 * This class is responsible for writing and deleting suggest items in bulk.
 *
 * <p>Currently, the methods in this class throw UnsupportedOperationException
 * as they are not yet implemented.</p>
 *
 * @see SuggestWriter
 */

        "custom_field": [1.0, 2.0, 3.0]
    }
    assert ta.json_schema() == snapshot(
        {
            "properties": {
                "custom_field": {
                    "items": {"type": "number"},
                    "title": "Custom Field",
                    "type": "array",
                }
            },
            "required": ["custom_field"],
            "title": "MyModel",

from fastapi import Body, FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: Union[float, None] = None


@app.put("/items/{item_id}")
async def update_item(
    *,
    item_id: int,
    item: Annotated[
        Item,
        Body(
            examples=[
                {
                    "name": "Foo",

        return input;
    }

    /**
     * Checks if the item has been updated.
     *
     * @return true if the item has been updated, false otherwise.
     */
    public boolean isUpdated() {
        return newInput != null;
    }

    /**
     * Checks if the item has been marked for deletion.
     *
     * @return true if the item is marked for deletion, false otherwise.
     */