// TODO(b/113217601): This is needed for EagerContext::runner_ to use a
  // threadpool, so that we avoid the possibility of running the runner_ in the
  // threadpool of GPU event mgr, as that can trigger more callbacks to be
  // scheduled on that same threadpool, causing a deadlock in cases where the
  // caller of event_mgr->ThenExecute() blocks on the completion of the callback

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

!!! note "Technische Details zu `async`"
    Wenn Sie die `async`-Methoden verwenden, führt **FastAPI** die Datei-Methoden in einem <abbr title="Mehrere unabhängige Kindprozesse">Threadpool</abbr> aus und erwartet sie.

!!! note "Technische Details zu Starlette"

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

!!! note "`async` Technical Details"
    When you use the `async` methods, **FastAPI** runs the file methods in a threadpool and awaits for them.

!!! note "Starlette Technical Details"

 *
 * <pre>{@code
 * ListenableFuture<Boolean> adminIsLoggedIn =
 *     FluentFuture.from(usersDatabase.getAdminUser())
 *         .transform(User::getId, directExecutor())
 *         .transform(ActivityService::isLoggedIn, threadPool)
 *         .catching(RpcException.class, e -> false, directExecutor());
 * }</pre>
 *
 * <h3>Alternatives</h3>
 *
 * <h4>Frameworks</h4>
 *

### Функции обработки пути

Когда вы объявляете *функцию обработки пути* обычным образом с ключевым словом `def`
вместо `async def`, FastAPI ожидает её выполнения, запустив функцию во внешнем
<abbr title="threadpool">пуле потоков</abbr>, а не напрямую (это бы заблокировало сервер).

Если ранее вы использовали другой асинхронный фреймворк, который работает иначе,
и привыкли объявлять простые вычислительные *функции* через `def` ради

    generate_unique_id,
    get_value_or_default,
    is_body_allowed_for_status_code,
)
from pydantic import BaseModel
from starlette import routing
from starlette.concurrency import run_in_threadpool
from starlette.exceptions import HTTPException
from starlette.requests import Request
from starlette.responses import JSONResponse, Response
from starlette.routing import (
    BaseRoute,
    Match,

    * This allows adding extra code after a dependency is done. It can be used, for example, to close database connections.
    * Dependencies with `yield` can be normal or `async`, **FastAPI** will run normal dependencies in a threadpool.
    * They can be combined with normal dependencies.
    * It's possible to have arbitrary trees/levels of dependencies with `yield` and exit steps are handled in the correct order automatically.

*   CTC loss and decoders in `contrib/ctc`
*   Basic support for `half` data type
*   Better support for loading user ops (see examples in `contrib/`)
*   Allow use of (non-blocking) Eigen threadpool with
    `TENSORFLOW_USE_EIGEN_THREADPOOL` define
*   Add an extension mechanism for adding network file system support
*   TensorBoard displays metadata stats (running time, memory usage and device
    used) and tensor shapes

    "@zlib//:__subpackages__",
    "@dlpack//:__subpackages__",
    "@arm_neon_2_x86_sse//:__subpackages__",
    "@cpuinfo//:__subpackages__",
    "@ruy//:__subpackages__",
    "@XNNPACK//:__subpackages__",
    "@pthreadpool//:__subpackages__",
    "@FXdiv//:__subpackages__",
    "@FP16//:__subpackages__",
    "@clog//:__subpackages__",
    "@flatbuffers//:__subpackages__",
    "@nccl_archive//:__subpackages__",