mu      sync.RWMutex
	init    sync.Once
	buckets map[string]*bucketMetacache
	trash   map[string]metacache // Recently deleted lists.
}

const metacacheMaxEntries = 5000

// initManager will start async saving the cache.
func (m *metacacheManager) initManager() {
	// Add a transient bucket.
	// Start saver when object layer is ready.
	go func() {
		objAPI := newObjectLayerFn()
		for objAPI == nil {

In this case, it is an `async` function.

---

You could also define it as a normal function instead of `async def`:

{* ../../docs_src/first_steps/tutorial003_py39.py hl[7] *}

/// note

If you don't know the difference, check the [Async: *"In a hurry?"*](../async.md#in-a-hurry){.internal-link target=_blank}.

///

In diesem Fall handelt es sich um eine `async`-Funktion.

---

Sie könnten sie auch als normale Funktion anstelle von `async def` definieren:

{* ../../docs_src/first_steps/tutorial003_py39.py hl[7] *}

/// note | Hinweis

Wenn Sie den Unterschied nicht kennen, lesen Sie [Async: *„In Eile?“*](../async.md#in-a-hurry){.internal-link target=_blank}.

///

                } catch (InterruptedException e) {
                    e.printStackTrace();
                }

                // despite all are back, we need to make sure all the events are processed (are async)
                // this one should block until all processed
                listener.transferSucceeded(new TransferEvent.Builder(session, resource)
                        .setType(TransferEvent.EventType.SUCCEEDED)

	notificationEventsSkippedTotal    = "events_skipped_total"
)

var (
	notificationCurrentSendInProgressMD = NewCounterMD(notificationCurrentSendInProgress, "Number of concurrent async Send calls active to all targets")
	notificationEventsErrorsTotalMD     = NewCounterMD(notificationEventsErrorsTotal, "Events that were failed to be sent to the targets")

<details markdown="1">
<summary>Or use <code>async def</code>...</summary>

If your code uses `async` / `await`, use `async def`:

```Python hl_lines="9  14"
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
async def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
async def read_item(item_id: int, q: Union[str, None] = None):

2. **Factory Pattern**: `Curl` class provides static factory methods for each HTTP method
3. **Resource Management**: `CurlResponse` implements `Closeable` for try-with-resources
4. **Async Support**: Both synchronous (`executeSync()`) and asynchronous (`execute()`) execution modes

## Technical Details

- **Java Version**: 17+
- **Dependencies**:
  - Apache Commons IO 2.19.0 (runtime)

/// tip | Dica

Adicionando o `standard`, o Uvicorn instalará e usará algumas dependências extras recomendadas.

Isso inclui o `uvloop`, a substituição de alto desempenho para `asyncio`, que fornece um grande aumento de desempenho de concorrência.

Quando você instala o FastAPI com algo como `pip install "fastapi[standard]"`, você já obtém `uvicorn[standard]` também.

///

/// tip | Consejo

Al añadir `standard`, Uvicorn instalará y usará algunas dependencias adicionales recomendadas.

Eso incluye `uvloop`, el reemplazo de alto rendimiento para `asyncio`, que proporciona un gran impulso de rendimiento en concurrencia.

Cuando instalas FastAPI con algo como `pip install "fastapi[standard]"` ya obtienes `uvicorn[standard]` también.

///

/// tip

By adding the `standard`, Uvicorn will install and use some recommended extra dependencies.

That including `uvloop`, the high-performance drop-in replacement for `asyncio`, that provides the big concurrency performance boost.

When you install FastAPI with something like `pip install "fastapi[standard]"` you already get `uvicorn[standard]` as well.

///