```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>
 *

  tensorflow::Status error_status;
  {
    // Start a threadpool to convert signatures, since signature conversion can
    // be time consuming especially for large models. Threadpool destructor
    // blocks until all work is done.
    thread::ThreadPool thread_pool(Env::Default(), "ConvertSignatures",
                                   kNumThreadToConvertSignatures);

 *
 * <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>
 *

build:mkl --define=tensorflow_mkldnn_contraction_kernel=0
build:mkl --define=build_with_openmp=true
build:mkl -c opt

# config to build OneDNN backend with a user specified threadpool.
build:mkl_threadpool --define=build_with_mkl=true --define=enable_mkl=true
build:mkl_threadpool --define=tensorflow_mkldnn_contraction_kernel=0
build:mkl_threadpool --define=build_with_mkl_opensource=true

#                                                                                     ====

# common
crawler.default.script=groovy
crawler.http.thread_pool.size=0
crawler.document.max.site.length=100
crawler.document.site.encoding=UTF-8
crawler.document.unknown.hostname=unknown
crawler.document.use.site.encoding.on.english=false
crawler.document.append.data=true

### 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

    /**
     * Get the value for the key 'crawler.http.thread_pool.size'. <br>
     * The value is, e.g. 0 <br>
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getCrawlerHttpThreadPoolSize();

    /**
     * Get the value for the key 'crawler.http.thread_pool.size' as {@link Integer}. <br>
     * The value is, e.g. 0 <br>

    * 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