from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str | None = None
    description: str | None = None
    price: float | None = None
    tax: float = 10.5
    tags: list[str] = []


items = {
    "foo": {"name": "Foo", "price": 50.2},
    "bar": {"name": "Bar", "description": "The bartenders", "price": 62, "tax": 20.2},

@app.get("/items/")
async def read_items(
    id: Annotated[Union[str, None], AfterValidator(check_valid_id)] = None,
):
    if id:
        item = data.get(id)
    else:
        id, item = random.choice(list(data.items()))

from pydantic import BaseModel

app = FastAPI()


class CommonHeaders(BaseModel):
    host: str
    save_data: bool
    if_modified_since: str | None = None
    traceparent: str | None = None
    x_tag: list[str] = []


@app.get("/items/")
async def read_items(headers: CommonHeaders = Header()):

    /**
     * The HTTP method for the request.
     */
    protected final Method method;

    /**
     * The list of request parameters.
     */
    protected List<String> paramList;

    /**
     * The list of request headers.
     */
    protected List<String[]> headerList;

    /**
     * The body content of the request.
     */
    protected String body;

    /**

### 嵌套类型

有些容器数据结构可以包含其他的值，比如 `dict`、`list`、`set` 和 `tuple`。它们内部的值也会拥有自己的类型。

你可以使用 Python 的 `typing` 标准库来声明这些类型以及子类型。

它专门用来支持这些类型提示。

#### 列表

例如，让我们来定义一个由 `str` 组成的 `list` 变量。

从 `typing` 模块导入 `List`（注意是大写的 `L`）：

{* ../../docs_src/python_types/tutorial006.py hl[1] *}


同样以冒号（`:`）来声明这个变量。

输入 `List` 作为类型。

由于列表是带有"子类型"的类型，所以我们把子类型放在方括号中：

def _add_header(request, **kwargs):
    request.headers.add_header('x-minio-extract', 'true')
event_system = s3.meta.events
event_system.register_first('before-sign.s3.*', _add_header)

# List zip contents
response = s3.list_objects_v2(Bucket="your-bucket", Prefix="path/to/file.zip/")
print(response)

# Download data.csv stored in the zip file

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None
    tags: list = []


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

 * fallbacks to guarantee that a fallback address is available.
 */
class DoubleInetAddressDns : Dns {
  override fun lookup(hostname: String): List<InetAddress> {
    val addresses = Dns.SYSTEM.lookup(hostname)
    return listOf(addresses[0], addresses[0])
  }

  fun matchesSocketFactory(sslSocketFactory: SSLSocketFactory): Boolean = false

  fun configureTlsExtensions(
    sslSocket: SSLSocket,
    hostname: String?,
    protocols: List<Protocol>,
  )

  fun getSelectedProtocol(sslSocket: SSLSocket): String?

    private final byte[] macAddress;
    private byte[] stats;

    NbtAddress[] addressArray;

    /*
     * It is a little awkward but prudent to pass the quering address
     * so that it may be included in the list of results. IOW we do
     * not want to create a new NbtAddress object for this particular
     * address from which the query is constructed, we want to populate
     * the data of the existing address that should be one of several