TF_RETURN_IF_ERROR(op->Reset("ZerosLike", /*raw_device_name=*/nullptr));
  if (isa<tracing::TracingOperation>(op.get())) {
    TF_RETURN_IF_ERROR(dyn_cast<tracing::TracingOperation>(op.get())->SetOpName(
        absl::StrCat("ZerosLike", ToId(t)).c_str()));
  }
  TF_RETURN_IF_ERROR(op->AddInput(t));
  int num_outputs = 1;
  std::vector<AbstractTensorHandle*> outputs(num_outputs);
  TF_RETURN_IF_ERROR(

  switch (ctx.device_type) {
    case DLDeviceType::kDLCPU:
      return "CPU:0";
    case DLDeviceType::kDLCUDA:
      return absl::StrCat("GPU:", ctx.device_id);
    case DLDeviceType::kDLROCM:
      return absl::StrCat("GPU:", ctx.device_id);
    default:
      return absl::nullopt;
  }
}

// Converts DLPack data type to TF_DATATYPE.

  }

  public void testForEachPair_parallel() {
    Stream<String> streamA = IntStream.range(0, 100000).mapToObj(String::valueOf).parallel();
    Stream<Integer> streamB = IntStream.range(0, 100000).mapToObj(i -> i).parallel();

    AtomicInteger count = new AtomicInteger(0);
    Streams.forEachPair(
        streamA,
        streamB,
        (a, b) -> {
          count.incrementAndGet();

  if (is_object) {
    TF_SetStatus(
        status, TF_FAILED_PRECONDITION,
        absl::StrCat("The specified path ", path, " is not a directory.")
            .c_str());
    return false;
  }
  TF_SetStatus(status, TF_NOT_FOUND,
               absl::StrCat("The path ", path, " does not exist.").c_str());
  return false;
}

static void RenameObject(const TF_Filesystem* filesystem,

  job_def->set_name(job_name);
  for (int i = 0; i < num_tasks; i++) {
    int port = tensorflow::testing::PickUnusedPortOrDie();
    job_def->mutable_tasks()->insert(
        {i, tensorflow::strings::StrCat("localhost", ":", port)});
    LOG(INFO) << "Picked test port: " << port << " for job: " << job_name
              << ", task: " << i;
  }
  return server_def;
}

namespace tensorflow {
namespace parallel_device {

    public FessConfig getFessConfig() {
        return fessConfig;
    }

    @Override
    public Logger getLogger() {
        return logger;
    }

    @Override
    protected void storeData(final ResponseData responseData, final ResultData resultData) {
        final DOMParser parser = getDomParser();
        try (final BufferedInputStream bis = new BufferedInputStream(responseData.getResponseBody())) {

  auto entry = GetFactories().find(name);
  if (entry != GetFactories().end()) {
    default_factory = GetFactories().find(name)->second;
    return absl::OkStatus();
  }
  string msg = absl::StrCat(
      "No tracing engine factory has been registered with the key '", name,
      "' (available: ");
  // Ensure deterministic (sorted) order in the error message
  std::set<string> factories_sorted;

	}
	if !reflect.DeepEqual(rHdr, hdr) {
		t.Errorf("Header mismatch.\n got %+v\nwant %+v", rHdr, hdr)
	}
	rData, err := io.ReadAll(tr)
	if err != nil {
		t.Fatalf("Read: %v", err)
	}
	if !bytes.Equal(rData, data) {
		t.Errorf("Data mismatch.\n got %q\nwant %q", rData, data)
	}
}

type headerRoundTripTest struct {
	h  *Header
	fm fs.FileMode
}

    * As informações sobre o domínio solicitado vão nos dados HTTP.
* Os certificados HTTPS “certificam” um determinado domínio, mas o protocolo e a encriptação acontecem ao nível do TCP, antes de sabermos de que domínio se trata.
* Por padrão, isso significa que você só pode ter um certificado HTTPS por endereço IP.
    * Não importa o tamanho do seu servidor ou quão pequeno cada aplicativo que você tem nele possa ser.

      root_dir_ = tensorflow::strings::StrCat(
          "/", tmp_dir_,
          tensorflow::strings::StrCat("tf_fs_", rng_val_, "_", test_name), "/");
    } else {
      root_dir_ = tensorflow::io::JoinPath(
          tmp_dir_,
          tensorflow::strings::StrCat("tf_fs_", rng_val_, "_", test_name));
    }
    if (!GetParam().empty()) {
      root_dir_ = tensorflow::strings::StrCat(GetParam(), "://", cloud_path_,