*   <li>{@code ImmutableList.of(2, "C")}
   * </ul>
   *
   * <p>The result is guaranteed to be in the "traditional", lexicographical order for Cartesian
   * products that you would get from nesting for loops:
   *
   * <pre>{@code
   * for (B b0 : sets.get(0)) {
   *   for (B b1 : sets.get(1)) {
   *     ...
   *     ImmutableList<B> tuple = ImmutableList.of(b0, b1, ...);
   *     // operate on tuple
   *   }

所以你需要确保你响应数据类型的正确性，如：你可以使用`JSONResponse`来兼容JSON的场景。

同时，你也应当仅反馈通过`response_model`过滤过的数据。

///

### 更多信息

/// note | "技术细节"

你也可以使用`from starlette.responses import Response` 或者 `from starlette.responses import JSONResponse`。

为了方便开发者，**FastAPI** 封装了相同数据类型，如`starlette.responses` 和 `fastapi.responses`。不过大部分response对象都是直接引用自Starlette。

///

## `Request` 文档

更多细节详见 <a href="https://www.starlette.io/requests/" class="external-link" target="_blank">Starlette 官档 - `Request` 对象</a>。

/// note | "技术细节"

您也可以使用 `from starlette.requests import Request`。

**FastAPI** 的 `from fastapi import Request` 只是为开发者提供的快捷方式，但其实它直接继承自 Starlette。

import "k8s.io/apimachinery/pkg/runtime/generated.proto";
import "k8s.io/apimachinery/pkg/runtime/schema/generated.proto";

// Package-wide variables from generator "generated".
option go_package = "k8s.io/api/scheduling/v1";

// PriorityClass defines mapping from a priority class name to the priority
// integer value. The value can be any valid integer.
message PriorityClass {
  // Standard object's metadata.

FROM python:3.9

RUN pip install httpx PyGithub "pydantic==1.5.1" "pyyaml>=5.3.1,<6.0.0"

COPY ./app /app

from typing import Dict


def process_items(prices: Dict[str, float]):
    for item_name, item_price in prices.items():
        print(item_name)

from pydantic_settings import BaseSettings


class Settings(BaseSettings):
    app_name: str = "Awesome API"
    admin_email: str
    items_per_user: int = 50

    class Config:

from pydantic_settings import BaseSettings, SettingsConfigDict


class Settings(BaseSettings):
    app_name: str = "Awesome API"
    admin_email: str
    items_per_user: int = 50

from fastapi import Cookie, FastAPI

app = FastAPI()


@app.get("/items/")
async def read_items(ads_id: str | None = Cookie(default=None)):

from fastapi import FastAPI

app = FastAPI(swagger_ui_parameters={"deepLinking": False})


@app.get("/users/{username}")
async def read_user(username: str):