app = FastAPI()


def do_blocking_work(name: str) -> str:
    # Some blocking I/O operation
    return f"Hello {name}"


@app.get("/items/")
async def read_items():
    result = await asyncify(do_blocking_work)(name="World")
    return {"message": result}
```

And run async code inside of blocking sync code with `syncify()`:

```python
from asyncer import syncify
from fastapi import FastAPI

	dynamicTimeoutLogSize              = 16
	maxDuration                        = math.MaxInt64
	maxDynamicTimeout                  = 24 * time.Hour // Never set timeout bigger than this.
)

// timeouts that are dynamically adapted based on actual usage results
type dynamicTimeout struct {
	timeout       int64
	minimum       int64
	entries       int64
	log           [dynamicTimeoutLogSize]time.Duration
	mutex         sync.Mutex

---

"_Honestly, what you've built looks super solid and polished. In many ways, it's what I wanted **Hug** to be - it's really inspiring to see someone build that._"

* `seek(offset)`: 파일 내 `offset`(`int`) 위치의 바이트로 이동합니다.
    * 예) `await myfile.seek(0)` 를 사용하면 파일의 시작부분으로 이동합니다.
    * `await myfile.read()` 를 사용한 후 내용을 다시 읽을 때 유용합니다.
* `close()`: 파일을 닫습니다.

상기 모든 메소드들이 `async` 메소드이기 때문에 “await”을 사용하여야 합니다.

예를들어, `async` *경로 처리 함수*의 내부에서 다음과 같은 방식으로 내용을 가져올 수 있습니다:

```Python
contents = await myfile.read()
```

Use `async` *path operations* only when fully certain that the logic called inside is compatible with async and await (it's called with `await`) or that doesn't block.

```python
from fastapi import FastAPI

app = FastAPI()


# Use async def when calling async code
@app.get("/async-items/")
async def read_async_items():
    data = await some_async_library.fetch_items()
    return data

    callback.await(server.url("/a")).assertBody("abc")
    client.newCall(Request.Builder().url(server.url("/b")).build()).enqueue(callback)
    callback.await(server.url("/b")).assertBody("def")
    client.newCall(Request.Builder().url(server.url("/c")).build()).enqueue(callback)
    callback.await(server.url("/c")).assertBody("ghi")

### Gérer les fichiers et async { #files-and-async }

Dans la plupart des cas, les objets de type fichier ne sont pas compatibles avec `async` et `await` par défaut.

Par exemple, ils n'ont pas de `await file.read()`, ni de `async for chunk in file`.

Et dans de nombreux cas, leur lecture serait une opération bloquante (pouvant bloquer la boucle d'événements), car ils sont lus depuis le disque ou le réseau.

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

Python’ın güncel sürümlerinde bir de **async context manager** vardır. Bunu `async with` ile kullanırsınız:

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

expected"));if(s.hooks&&(s.hooks.options=s,s.hooks.block=e),s.async)return(async()=>{let o=s.hooks?await s.hooks.preprocess(n):n,p=await(s.hooks?await s.hooks.provideLexer():e?x.lex:x.lexInline)(o,s),c=s.hooks?await s.hooks.processAllTokens(p):p;s.walkTokens&&await Promise.all(this.walkTokens(c,s.walkTokens));let h=await(s.hooks?await s.hooks.provideParser():e?b.parse:b.parseInline)(c,s);return s.hooks?await s.hooks.postprocess(h):h})().catch(a);try{s.hooks&&(n=s.hooks.preprocess(n));let u=(s.hooks?s...

            executorService.submit(
                () -> {
                  startLatch.countDown();
                  startLatch.await();
                  callable.call();
                  doneLatch.countDown();
                  return null;
                });
      }
      doneLatch.await();
    } finally {
      executorService.shutdown();
    }
  }