status->status = handle->Tensor(&tensor);
  if (!status->status.ok()) {
    return nullptr;
  }

  std::vector<int64_t> dev_dims = TensorShapeAsVector(*handle, &status->status);
  if (!status->status.ok()) {
    return nullptr;
  }
  return new TFE_TensorDebugInfo(dev_dims);
}

TF_CAPI_EXPORT extern void TFE_DeleteTensorDebugInfo(
    TFE_TensorDebugInfo* debug_info) {
  delete debug_info;
}

the server side, will be replicated if destination also supports encryption.

Replication status can be seen in the metadata on the source and destination objects. On the source side, the `X-Amz-Replication-Status` changes from `PENDING` to `COMPLETED` or `FAILED` after replication attempt either succeeded or failed respectively. On the destination side, a `X-Amz-Replication-Status` status of `REPLICA` indicates that the object was replicated successfully. Any replication failures are automatically...

//
// On success, returns the newly created library handle and places OK in status.
// The caller owns the library handle.
//
// On failure, returns nullptr and places an error status in status.
TF_CAPI_EXPORT extern TF_Library* TF_LoadPluggableDeviceLibrary(
    const char* library_filename, TF_Status* status);

// Frees the memory associated with the library handle.
// Does NOT unload the library.

        return asJson(
                new ApiResult.ApiConfigsResponse<EditBody>().settings(list.stream().map(this::createEditBody).collect(Collectors.toList()))
                        .total(pager.getAllRecordCount()).status(ApiResult.Status.OK).result());
    }

    // GET /api/admin/dataconfig/setting/{id}
    @Execute
    public JsonResponse<ApiResult> get$setting(final String id) {

        return asJson(
                new ApiResult.ApiConfigsResponse<EditBody>().settings(list.stream().map(this::createEditBody).collect(Collectors.toList()))
                        .total(pager.getAllRecordCount()).status(ApiResult.Status.OK).result());
    }

    // GET /api/admin/elevateword/{id}
    @Execute
    public JsonResponse<ApiResult> get$setting(final String id) {

	kmsStatusPath    = kmsURL + "/status"
	kmsMetricsPath   = kmsURL + "/metrics"
	kmsAPIsPath      = kmsURL + "/apis"
	kmsVersionPath   = kmsURL + "/version"
	kmsKeyCreatePath = kmsURL + "/key/create"
	kmsKeyListPath   = kmsURL + "/key/list"
	kmsKeyStatusPath = kmsURL + "/key/status"

	// Admin API paths
	// For example: /minio/admin/v3/kms/status
	adminURL              = adminPathPrefix + adminAPIVersionPrefix

                .settings(protwordsService.getProtwordsList(body.dictId, pager).stream()
                        .map(protwordsItem -> createEditBody(protwordsItem, dictId)).collect(Collectors.toList()))
                .status(ApiResult.Status.OK).result());
    }

    // GET /api/admin/dict/protwords/setting/{dictId}/{id}
    @Execute
    public JsonResponse<ApiResult> get$setting(final String dictId, final long id) {

func GetPodIPsIfPresent(pod *corev1.Pod) []netip.Addr {
	var podIPs []netip.Addr
	if len(pod.Status.PodIPs) != 0 {
		for _, pip := range pod.Status.PodIPs {
			ip := netip.MustParseAddr(pip.IP)
			podIPs = append(podIPs, ip)
		}
	} else if len(pod.Status.PodIP) != 0 {
		ip := netip.MustParseAddr(pod.Status.PodIP)
		podIPs = append(podIPs, ip)
	}
	return podIPs

// Returns the status for the tensor handle. In TFRT, a tensor handle can carry
// error info if error happens. If so, the status will be set with the error
// info. If not, status will be set as OK.
TF_CAPI_EXPORT extern void TFE_TensorHandleGetStatus(TFE_TensorHandle* h,
                                                     TF_Status* status);

                  api_def_overwrites.size(), status);
  EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TF_DeleteStatus(status);

  string op_name = "TestCApi";
  status = TF_NewStatus();
  auto* api_def_buf =
      TF_ApiDefMapGet(api_def_map, op_name.c_str(), op_name.size(), status);
  EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TF_DeleteStatus(status);

  tensorflow::ApiDef api_def;