my_list: list[str]
```

这完全是用于类型声明的标准 Python 语法。

对具有内部类型的模型属性也使用相同的标准语法。

因此，在我们的示例中，我们可以将 `tags` 明确地指定为一个「字符串列表」：

{* ../../docs_src/body_nested_models/tutorial002_py310.py hl[12] *}

## Set 类型 { #set-types }

但是随后我们考虑了一下，意识到标签不应该重复，它们很大可能会是唯一的字符串。

而 Python 有一种用于保存唯一元素集合的特殊数据类型 `set`。

然后我们可以将 `tags` 声明为一个由字符串组成的 set：

{* ../../docs_src/body_nested_models/tutorial003_py310.py hl[12] *}

  override fun <T : Any> tag(type: KClass<T>): T? = error("unexpected")

  override fun <T> tag(type: Class<out T>): T? = error("unexpected")

  override fun <T : Any> tag(
    type: KClass<T>,
    computeIfAbsent: () -> T,
  ): T = error("unexpected")

  override fun <T : Any> tag(
    type: Class<T>,
    computeIfAbsent: () -> T,
  ): T = error("unexpected")

  private fun enableLogging(
    logger: String,
    tag: String,
  ) {
    val logger = Logger.getLogger(logger)
    if (configuredLoggers.add(logger)) {
      logger.useParentHandlers = false
      // log based on levels at startup to avoid logging each frame
      logger.level =
        when {
          Log.isLoggable(tag, Log.DEBUG) -> Level.FINE
          Log.isLoggable(tag, Log.INFO) -> Level.INFO
          else -> Level.WARNING

            tagClass = header.tagClass,
            tag = header.tag,
            constructed = header.constructed,
            length = header.length,
            bytes = bytes,
          )
        }
      }

      override fun toDer(
        writer: DerWriter,
        value: AnyValue,
      ) {
        writer.write("ANY", value.tagClass, value.tag) {
          writer.writeOctetString(value.bytes)

app = FastAPI()


class FilterParams(BaseModel):
    limit: int = Field(100, gt=0, le=100)
    offset: int = Field(0, ge=0)
    order_by: Literal["created_at", "updated_at"] = "created_at"
    tags: list[str] = []


@app.get("/items/")
async def read_items(filter_query: Annotated[FilterParams, Query()]):

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[str] = []


@app.post("/items/")
async def create_item(item: Item) -> Item:
    return item


@app.get("/items/")
async def read_items() -> list[Item]:
    return [

app = FastAPI(dependencies=[Depends(get_query_token)])


app.include_router(users.router)
app.include_router(items.router)
app.include_router(
    admin.router,
    prefix="/admin",
    tags=["admin"],
    dependencies=[Depends(get_token_header)],
    responses={418: {"description": "I'm a teapot"}},
)


@app.get("/")
async def root():

    val tag = UUID.randomUUID()
    val request =
      Request
        .Builder()
        .url("https://square.com")
        .tag(tag)
        .build()
    assertThat(request.tag()).isSameInstanceAs(tag)
    assertThat(request.tag(Any::class.java)).isSameInstanceAs(tag)
    assertThat(request.tag(UUID::class.java)).isNull()
    assertThat(request.tag(String::class.java)).isNull()

    // Alternate access APIs also work.

exclude permissions like "s3:ReplicateDelete", "s3:GetBucketObjectLockConfiguration" etc depending on whether delete replication rules are set up or if object locking is disabled on `destbucket`. The above policies assume that replication of objects, tags and delete marker replication are all enabled on object lock enabled buckets. A sample script to setup replication is provided [here](https://github.com/minio/minio/blob/master/docs/bucket/replication/setup_replication.sh)

To set up replication...

import yaml
from fastapi import FastAPI, HTTPException, Request
from pydantic import BaseModel, ValidationError

app = FastAPI()


class Item(BaseModel):
    name: str
    tags: list[str]


@app.post(
    "/items/",
    openapi_extra={
        "requestBody": {
            "content": {"application/x-yaml": {"schema": Item.model_json_schema()}},
            "required": True,
        },
    },
)