{* ../../docs_src/background_tasks/tutorial001.py hl[6:9] *}

## Додавання фонової задачі

Усередині Вашої *функції обробки шляху*, передайте функцію задачі в об'єкт *background tasks*, використовуючи метод `.add_task()`:

{* ../../docs_src/background_tasks/tutorial001.py hl[14] *}

`.add_task()` приймає аргументи:

        copyAccessEntry(original, newEntry);
        copyWriteEntry(original, newEntry);
        return newEntry;
      }
    };

    // Masks used to compute indices in the following table.

    static final int ACCESS_MASK = 1;
    static final int WRITE_MASK = 2;
    static final int WEAK_MASK = 4;

    /** Look-up table for factories. */

在FastAPI中仍然可以单独使用 `BackgroundTask`，但您必须在代码中创建对象，并返回包含它的Starlette `Response`。

更多细节查看 <a href="https://www.starlette.dev/background/" class="external-link" target="_blank">Starlette's official docs for Background Tasks</a>.

## 告诫

如果您需要执行繁重的后台计算，并且不一定需要由同一进程运行（例如，您不需要共享内存、变量等），那么使用其他更大的工具（如 <a href="https://docs.celeryq.dev" class="external-link" target="_blank">Celery</a>）可能更好。

また、書き込み操作では `async` と `await` を使用しないため、通常の `def` で関数を定義します。

{* ../../docs_src/background_tasks/tutorial001.py hl[6:9] *}

## バックグラウンドタスクの追加

*path operations 関数* 内で、`.add_task()` メソッドを使用してタスク関数を *background tasks* オブジェクトに渡します。

{* ../../docs_src/background_tasks/tutorial001.py hl[14] *}

`.add_task()` は以下の引数を受け取ります:

* バックグラウンドで実行されるタスク関数 (`write_notification`)。
* タスク関数に順番に渡す必要のある引数の列 (`email`)。

import org.gradle.tooling.events.task.TaskOperationResult
import java.io.Serializable
import java.util.concurrent.CopyOnWriteArrayList

/**
 * Register a build service that monitors compilation tasks and code quality tasks (Checkstyle/CodeNarc/detekt)
 * and reports them as TeamCity build problems.
 */

Marcelo Trylesinski <******@****.***> 1760204929 +0100

Marcelo Trylesinski <******@****.***> 1760204929 +0100

        [`tf.keras.layers.MultiHeadAttention`](https://www.tensorflow.org/api_docs/python/tf/keras/layers/MultiHeadAttention).
        *   Implicit masks for `query`, `key` and `value` inputs will
            automatically be used to compute a correct attention mask for the
            layer. These padding masks will be combined with any
            `attention_mask` passed in directly when calling the layer. This can
            be used with

  0. Definitions.

  "This License" refers to version 3 of the GNU Affero General Public License.

  "Copyright" also means copyright-like laws that apply to other kinds of
works, such as semiconductor masks.

  "The Program" refers to any copyrightable work licensed under this
License.  Each licensee is addressed as "you".  "Licensees" and
"recipients" may be individuals or organizations.

    in 'a'..'f' -> this - 'a' + 10
    in 'A'..'F' -> this - 'A' + 10
    else -> -1
  }

internal infix fun Byte.and(mask: Int): Int = toInt() and mask

internal infix fun Short.and(mask: Int): Int = toInt() and mask

internal infix fun Int.and(mask: Long): Long = toLong() and mask

@Throws(IOException::class)
internal fun BufferedSink.writeMedium(medium: Int) {
  writeByte(medium.ushr(16) and 0xff)