"llvm-raw",
    "llvm_openmp",
    "mkl_dnn_acl_compatible",
    "ml_dtypes_py",
    "mpitrampoline",
    "nanobind",
    "nasm",
    "nvshmem",
    "onednn",
    "onednn_async",
    "pthreadpool",
    "raft",
    "riegeli",
    "rocm_device_libs",
    "shardy",
    "slinky",
    "stablehlo",
    "tensorrt_oss_archive",
    "triton",
)

    "@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__",

        }
    }

    /**
     * Sets the thread pool for executing the request.
     *
     * @param threadPool the thread pool
     * @return this CurlRequest instance
     */
    public CurlRequest threadPool(final ForkJoinPool threadPool) {
        this.threadPool = threadPool;
        return this;
    }

    /**
     * Sets the connection and read timeouts for the request.
     *

        To be awaitable, compatible with async, this is run in threadpool.
        """
        return await super().seek(offset)

    async def close(self) -> None:
        """
        Close the file.

        To be awaitable, compatible with async, this is run in threadpool.
        """
        return await super().close()

    @classmethod

        ForkJoinPool pool1 = new ForkJoinPool(2);
        ForkJoinPool pool2 = new ForkJoinPool(4);

        // Multiple threadPool calls should work
        request.threadPool(pool1);
        request.threadPool(pool2);

        assertNotNull(request);
    }

    @Test
    public void testOnConnectWithNull() {

    ExecutorService threadPool = newFixedThreadPool(nThreads);
    CountDownLatch tasksFinished = new CountDownLatch(nTasks);
    for (int i = 0; i < nTasks; i++) {
      String s = "a" + i;
      @SuppressWarnings("unused") // https://errorprone.info/bugpattern/FutureReturnValueIgnored
      Future<?> possiblyIgnoredError =
          threadPool.submit(
              () -> {

    ExecutorService threadPool = newFixedThreadPool(nThreads);
    CountDownLatch tasksFinished = new CountDownLatch(nTasks);
    for (int i = 0; i < nTasks; i++) {
      String s = "a" + i;
      @SuppressWarnings("unused") // https://errorprone.info/bugpattern/FutureReturnValueIgnored
      Future<?> possiblyIgnoredError =
          threadPool.submit(
              () -> {

 *
 * If any "bad" merge commit is found, it will print the details and exit with non-zero code.
 */
public class CheckBadMerge {
    private static final ExecutorService THREAD_POOL = Executors.newCachedThreadPool();

    private static final List<String> MONITORED_PATHS = Collections.unmodifiableList(Arrays.asList(
        "subprojects/docs/src/docs/release/notes.md",

        ForkJoinPool pool = new ForkJoinPool(1);
        req.threadPool(pool);

        // ## Act ##
        // execute() should force synchronous execution but restore threadPool afterward
        try (CurlResponse response = req.execute()) {
            assertEquals(200, response.getHttpStatusCode());
        }

        // ## Assert ##
        // After execute(), the threadPool should be restored

///

### Funções de operação de rota { #path-operation-functions }

Quando você declara uma *função de operação de rota* com `def` normal ao invés de `async def`, ela é rodada em uma threadpool externa que é então aguardada, ao invés de ser chamada diretamente (já que ela bloquearia o servidor).