defaultProfiler,
        display = ParameterDisplay.PROMPT,
        allowEmpty = false,
        description = "Command line option for the performance test task to enable profiling. For example `async-profiler`, `async-profiler-heap`, `async-profiler-all` or `jfr`. Use `none` for benchmarking only."
    )
}

object AdHocPerformanceScenarioLinux : AdHocPerformanceScenario(Os.LINUX)

	apiVersionsGetter := custom_metrics.NewAvailableAPIsGetter(hpaClient.Discovery())
	// invalidate the discovery information roughly once per resync interval our API
	// information is *at most* two resync intervals old.
	go custom_metrics.PeriodicallyInvalidate(
		apiVersionsGetter,
		controllerContext.ComponentConfig.HPAController.HorizontalPodAutoscalerSyncPeriod.Duration,
		ctx.Done())

app = FastAPI()

T = TypeVar("T")

Dep = Annotated[T, Depends()]


class A:
    pass


class B:
    pass


@app.get("/a")
async def a(dep: Dep[A]):
    return {"cls": dep.__class__.__name__}


@app.get("/b")
async def b(dep: Dep[B]):
    return {"cls": dep.__class__.__name__}


client = TestClient(app)


def test_generic_parameterless_depends():

	FUNCDATA_WrapInfo           = 7
)

// Special values for the PCDATA_UnsafePoint table.
const (
	UnsafePointSafe   = -1 // Safe for async preemption
	UnsafePointUnsafe = -2 // Unsafe for async preemption

	// UnsafePointRestart1(2) apply on a sequence of instructions, within
	// which if an async preemption happens, we should back off the PC
	// to the start of the sequence when resuming.

    🔄, 👆 💪 🌀 `dataclasses` ⏮️ 🐩 🆎 ✍.

8️⃣. 👀 👈 👉 *➡ 🛠️ 🔢* ⚙️ 🥔 `def` ↩️ `async def`.

    🕧, FastAPI 👆 💪 🌀 `def` & `async def` 💪.

    🚥 👆 💪 ↗️ 🔃 🕐❔ ⚙️ ❔, ✅ 👅 📄 _"🏃 ❓" _ 🩺 🔃 <a href="https://fastapi.tiangolo.com/async/#in-a-hurry" target="_blank" class="internal-link">`async` &amp; `await`</a>.

9️⃣. 👉 *➡ 🛠️ 🔢* 🚫 🛬 🎻 (👐 ⚫️ 💪), ✋️ 📇 📖 ⏮️ 🔗 💽.

    ```python
    from fastapi import Depends, FastAPI
    from fastapi.security import APIKeyQuery

    app = FastAPI()

    query_scheme = APIKeyQuery(name="api_key")


    @app.get("/items/")
    async def read_items(api_key: str = Depends(query_scheme)):
        return {"api_key": api_key}
    ```
    """

    def __init__(
        self,
        *,
        name: Annotated[
            str,

        with open("log.txt", mode="w") as email_file:
            content = f"notification for {email}: {message}"
            email_file.write(content)


    @app.post("/send-notification/{email}")
    async def send_notification(email: str, background_tasks: BackgroundTasks):
        background_tasks.add_task(write_notification, email, message="some notification")
        return {"message": "Notification sent in the background"}
    ```

!!! tip "팁"
    이 예제에서는 파일과 상호작용 하기 위해 파이썬 표준 함수인 `open()`을 사용하고 있습니다.

    따라서 디스크에 데이터를 쓰기 위해 "대기"가 필요한 I/O (입력/출력) 작업을 수행합니다.

    그러나 `open()`은 `async`와 `await`을 사용하지 않기 때문에 이벤트 핸들러 함수는 `async def`가 아닌 표준 `def`로 선언하고 있습니다.

!!! info "정보"

```

**🔑 👨‍💼** 🐍 🕳 👈 👆 💪 ⚙️ `with` 📄, 🖼, `open()` 💪 ⚙️ 🔑 👨‍💼:

```Python
with open("file.txt") as file:
    file.read()
```

⏮️ ⏬ 🐍, 📤 **🔁 🔑 👨‍💼**. 👆 🔜 ⚙️ ⚫️ ⏮️ `async with`:

```Python
async with lifespan(app):
    await do_stuff()
```

🕐❔ 👆 ✍ 🔑 👨‍💼 ⚖️ 🔁 🔑 👨‍💼 💖 🔛, ⚫️❔ ⚫️ 🔨 👈, ⏭ 🛬 `with` 🍫, ⚫️ 🔜 🛠️ 📟 ⏭ `yield`, & ⏮️ ❎ `with` 🍫, ⚫️ 🔜 🛠️ 📟 ⏮️ `yield`.

`UploadFile` 支持以下 `async` 方法，（使用内部 `SpooledTemporaryFile`）可调用相应的文件方法。

* `write(data)`：把 `data` （`str` 或 `bytes`）写入文件；
* `read(size)`：按指定数量的字节或字符（`size` (`int`)）读取文件内容；
* `seek(offset)`：移动至文件 `offset` （`int`）字节处的位置；
    * 例如，`await myfile.seek(0) ` 移动到文件开头；
    * 执行 `await myfile.read()` 后，需再次读取已读取内容时，这种方法特别好用；
* `close()`：关闭文件。

因为上述方法都是 `async` 方法，要搭配「await」使用。

例如，在 `async` *路径操作函数* 内，要用以下方式读取文件内容：