TF_NewShapeAndTypeList(input_shapes_vec.size());
    for (size_t i = 0; i < input_shapes_vec.size(); ++i) {
      const auto& input_shape = input_shapes_vec[i];
      if (input_shape.has_value()) {
        TF_ShapeAndTypeListSetShape(input_shapes, i, input_shape->data(),
                                    input_shape->size());
      } else {
        TF_ShapeAndTypeListSetUnknownShape(input_shapes, i);

  if (TF_GetCode(status) != TF_OK) return;

  // unwrap op_ and set step_id only if valid step id value was set.
  // Currently only required for non-TFRT use cases, e.g., EagerOp.
  if (step_id_.has_value()) {
    tensorflow::unwrap(op_.get())->SetStepId(step_id_.value());
  }

  TFE_Execute(op_.get(), unwrapped_results.data(), &real_num_outputs, status);
  if (TF_GetCode(status) != TF_OK) {

      maybe_parallel_results(
          parallel_device.Execute(context, parallel_inputs, operation_name,
                                  attributes, expected_max_outputs, status));
  if (!maybe_parallel_results.has_value()) return result;
  std::vector<std::unique_ptr<ParallelTensor>> parallel_results(
      std::move(maybe_parallel_results.value()));
  std::vector<MaybeParallelTensorOwned> result_content;

  DLManagedTensor* dlmt = static_cast<DLManagedTensor*>(dlm);
  DLTensor* dl_tensor = &dlmt->dl_tensor;
  absl::optional<std::string> device_name =
      DeviceNameFromDlContext(dl_tensor->device, status);
  if (!device_name.has_value()) {
    status->status =
        tensorflow::errors::InvalidArgument("Unsupported Device Type");
    return nullptr;
  }
  TF_DataType dtype;
  absl::Status s = TfDataTypeFormDlDataType(dl_tensor->dtype, &dtype);

      tensorflow::EvaluateConstantTensorRunner{
          graph->graph.op_registry(),
          graph->graph.versions().producer(),
      });
  if (!status_or.ok() || !status_or->has_value()) {
    *result = nullptr;
    status->status = std::move(status_or).status();
    return false;
  }
  *result = TF_TensorFromTensor(**status_or, &status->status);
  return status->status.ok();
}

internal fun Long.commonClampToInt(): Int {
  return when {
    this > Int.MAX_VALUE -> Int.MAX_VALUE
    else -> toInt()
  }
}

internal fun CacheControl.Companion.commonForceNetwork() =
  CacheControl.Builder()
    .noCache()
    .build()

internal fun CacheControl.Companion.commonForceCache() =
  CacheControl.Builder()
    .onlyIfCached()
    .maxStale(Int.MAX_VALUE.seconds)
    .build()

class SettingsTest {
  @Test
  fun unsetField() {
    val settings = Settings()
    assertThat(settings.isSet(Settings.MAX_CONCURRENT_STREAMS)).isFalse()
    assertThat(settings.getMaxConcurrentStreams()).isEqualTo(Int.MAX_VALUE)
  }

  @Test
  fun setFields() {
    val settings = Settings()
    settings[Settings.HEADER_TABLE_SIZE] = 8096
    assertThat(settings.headerTableSize).isEqualTo(8096)

    assertThat(readAscii(gunzippedIn, Int.MAX_VALUE)).isEqualTo("one (gzipped)")
    assertThat(server.takeRequest().sequenceNumber).isEqualTo(0)
    val response2 =
      getResponse(
        Request.Builder()
          .url(server.url("/"))
          .build(),
      )
    assertThat(readAscii(response2.body.byteStream(), Int.MAX_VALUE)).isEqualTo("two (identity)")

        String value = null;
        boolean haveValue = false;
        if (encoding != null) {
            try {
                value = item.getString(encoding);
                haveValue = true;
            } catch (final Exception e) {}
        }
        if (!haveValue) {
            try {
                value = item.getString(Charset.forName("ISO-8859-1"));

    HONDA,
    POODLE,
  }

  public void testGetIfPresent() {
    assertThat(Enums.getIfPresent(TestEnum.class, "CHEETO")).hasValue(TestEnum.CHEETO);
    assertThat(Enums.getIfPresent(TestEnum.class, "HONDA")).hasValue(TestEnum.HONDA);
    assertThat(Enums.getIfPresent(TestEnum.class, "POODLE")).hasValue(TestEnum.POODLE);

    assertThat(Enums.getIfPresent(TestEnum.class, "CHEETO")).isPresent();