/**
 * Signifies that a test should not be run under Android. This annotation is respected only by our
 * Google-internal Android suite generators. Note that those generators also suppress any test
 * annotated with LargeTest.
 *
 * <p>Why use a custom annotation instead of {@code android.test.suitebuilder.annotation.Suppress}?
 * I'm not completely sure that this is the right choice, but it has various advantages:
 *
 * <ul>

      </replaceConfiguration>

from typing import Annotated

import pytest
from fastapi import FastAPI, Form
from fastapi.exceptions import FastAPIDeprecationWarning
from fastapi.testclient import TestClient
from inline_snapshot import snapshot

from .utils import needs_py310


def get_client():
    app = FastAPI()
    with pytest.warns(FastAPIDeprecationWarning):

        @app.post("/items/")
        async def read_items(

Although any other parameter declared normally (for example, the body with a Pydantic model) would still be validated, converted, annotated, etc.

But there are specific cases where it's useful to get the `Request` object.

## Use the `Request` object directly { #use-the-request-object-directly }

Python 也有一個功能，允許使用 `Annotated` 在這些型別提示中放入額外的<dfn title="關於資料的資料；在此情境下，是關於型別的資訊，例如描述。">中繼資料</dfn>。

你可以從 `typing` 匯入 `Annotated`。

{* ../../docs_src/python_types/tutorial013_py310.py hl[1,4] *}

Python 本身不會對這個 `Annotated` 做任何事。對編輯器與其他工具而言，該型別仍然是 `str`。

但你可以利用 `Annotated` 這個空間，來提供 **FastAPI** 額外的中繼資料，告訴它你希望應用程式如何運作。

重要的是要記住，傳給 `Annotated` 的「第一個型別參數」才是「真正的型別」。其餘的，都是給其他工具用的中繼資料。

import types
import typing
import warnings
from collections import deque
from collections.abc import Mapping, Sequence
from dataclasses import is_dataclass
from typing import (
    Annotated,
    Any,
    TypeGuard,
    TypeVar,
    Union,
    get_args,
    get_origin,
)

from fastapi.types import UnionType
from pydantic import BaseModel
from pydantic.version import VERSION as PYDANTIC_VERSION

from typing import Annotated

import pytest
from fastapi import FastAPI, Query
from fastapi.exceptions import FastAPIDeprecationWarning
from fastapi.testclient import TestClient
from inline_snapshot import snapshot

from .utils import needs_py310


def get_client():
    app = FastAPI()
    with pytest.warns(FastAPIDeprecationWarning):

        @app.get("/items/")
        async def read_items(

# Ref: https://github.com/fastapi/fastapi/issues/14454

from typing import Annotated

from fastapi import APIRouter, Depends, FastAPI, Security
from fastapi.security import OAuth2AuthorizationCodeBearer
from fastapi.testclient import TestClient
from inline_snapshot import snapshot

oauth2_scheme = OAuth2AuthorizationCodeBearer(
    authorizationUrl="authorize",
    tokenUrl="token",
    auto_error=True,

 * under the License.
 */
package org.apache.maven.api.annotations;

import java.lang.annotation.Documented;
import java.lang.annotation.Retention;
import java.lang.annotation.RetentionPolicy;

/**
 * The annotated element can be {@code null}.
 *
 * @see Nonnull
 * @since 4.0.0
 */
@Experimental
@Documented
@Retention(RetentionPolicy.RUNTIME)

Python 还提供了一个特性，可以使用 `Annotated` 在这些类型提示中放入额外的<dfn title="关于数据的数据，此处指关于类型的信息，例如描述。">元数据</dfn>。

你可以从 `typing` 导入 `Annotated`。

{* ../../docs_src/python_types/tutorial013_py310.py hl[1,4] *}

Python 本身不会对这个 `Annotated` 做任何处理。对于编辑器和其他工具，类型仍然是 `str`。

但你可以在 `Annotated` 中为 **FastAPI** 提供额外的元数据，来描述你希望应用如何行为。

重要的是要记住：传给 `Annotated` 的第一个类型参数才是实际类型。其余的只是给其他工具用的元数据。