`BackgroundTasks` の使用は依存性注入システムでも機能し、様々な階層 (*path operations 関数*、依存性 (依存可能性)、サブ依存性など) で `BackgroundTasks` 型のパラメーターを宣言できます。

**FastAPI** は、それぞれの場合の処理​​方法と同じオブジェクトの再利用方法を知っているため、すべてのバックグラウンドタスクがマージされ、バックグラウンドで後で実行されます。

{* ../../docs_src/background_tasks/tutorial002.py hl[13,15,22,25] *}

この例では、レスポンスが送信された *後* にメッセージが `log.txt` ファイルに書き込まれます。

リクエストにクエリがあった場合、バックグラウンドタスクでログに書き込まれます。

     * @param client the OpenSearch client to use for executing the query and delete operations
     * @param settings the settings for the suggest feature, including timeouts and scroll settings
     * @param index the name of the index from which documents should be deleted
     * @param queryBuilder the query used to identify documents to delete
     * @return true if the operation completes successfully

        assertThrows(NullPointerException.class, () -> new NetServerEnumIterator(parent, null, "*", 0, null));
    }

    @Test
    @DisplayName("Remove operation should throw UnsupportedOperationException")
    void testRemove_ThrowsUnsupportedOperationException() throws Exception {
        // Given: A valid iterator setup that will complete immediately

					}
					if len(f.ops) > 0 {
						t.Errorf("test %d, expected %d more operations", i, len(f.ops))
					}
				case testClose:
					err := tw.Close()
					if !equalError(err, tf.wantErr) {
						t.Fatalf("test %d, Close() = %v, want %v", i, err, tf.wantErr)
					}
				default:
					t.Fatalf("test %d, unknown test operation: %T", i, tf)
				}
			}

			if v.file != "" {

    //                                                                           =========
    /** The time manager for handling time-related operations. */
    @Resource
    private TimeManager timeManager;

    /** The async manager for handling asynchronous operations. */
    @Resource
    private AsyncManager asyncManager;

    /** The session manager for handling user sessions. */
    @Resource

                public void run() {
                    try {
                        startLatch.await();
                        for (int j = 0; j < operationsPerThread; j++) {
                            // Transform operation
                            ResponseData responseData = new ResponseData();
                            responseData.setUrl("http://thread" + threadId + ".com/page" + j);

}

// AbortMultipartUpload - aborts an ongoing multipart operation
// signified by the input uploadID. This is an atomic operation
// doesn't require clients to initiate multiple such requests.
//
// All parts are purged from all disks and reference to the uploadID
// would be removed from the system, rollback is not possible on this
// operation.

        return new HttpClient(settings, null);
    }

    /**
     * Executes an OpenSearch operation with retry logic.
     *
     * @param <T> The response type.
     * @param func The function to execute.
     * @return The response from the operation.
     */
    public <T> T get(final Function<FesenClient, ActionFuture<T>> func) {
        int retryCount = 0;
        while (true) {

  TF_Graph();

  mutable tensorflow::mutex mu;
  tensorflow::Graph graph TF_GUARDED_BY(mu);

  // Runs shape inference.
  tensorflow::ShapeRefiner refiner TF_GUARDED_BY(mu);

  // Maps from name of an operation to the Node* in 'graph'.
  std::unordered_map<tensorflow::string, tensorflow::Node*> name_map
      TF_GUARDED_BY(mu);

  // The keys of this map are all the active sessions using this graph. Each

/// tip

We'll discuss the `@lru_cache` in a bit.

For now you can assume `get_settings()` is a normal function.

///

And then we can require it from the *path operation function* as a dependency and use it anywhere we need it.

{* ../../docs_src/settings/app02_an_py39/main.py hl[17,19:21] *}

### Settings and testing { #settings-and-testing }