}

	keyFuncCallback := func(jwtToken *jwtgo.Token) (interface{}, error) {
		kid, ok := jwtToken.Header["kid"].(string)
		if !ok {
			return nil, fmt.Errorf("Invalid kid value %v", jwtToken.Header["kid"])
		}
		return r.pubKeys.get(kid), nil
	}

	pCfg, ok := r.arnProviderCfgsMap[arn]
	if !ok {
		return fmt.Errorf("Role %s does not exist", arn)
	}

	if fi.TransitionTier != "" {
		objInfo.StorageClass = fi.TransitionTier
	} else if sc, ok := fi.Metadata[xhttp.AmzStorageClass]; ok {
		objInfo.StorageClass = sc
	} else {
		objInfo.StorageClass = globalMinioDefaultStorageClass
	}

	// set restore status for transitioned object
	restoreHdr, ok := fi.Metadata[xhttp.AmzRestore]
	if ok {
		if restoreStatus, err := parseRestoreObjStatus(restoreHdr); err == nil {

				f.TagSettings = schema.ParseTagSetting(f.Tag.Get("gorm"), ";")
			} else {
				f.TagSettings = map[string]string{}
			}
		}

		parsedField, ok := s.FieldsByDBName[f.DBName]
		if !ok {
			parsedField, ok = s.FieldsByName[f.Name]
		}

		if !ok {
			t.Errorf("schema %v failed to look up field with name %v", s, f.Name)
		} else {

  if (TF_GetCode(status) != TF_OK) return;
  TFE_OpAddInput(op.get(), handle_, status);
  if (TF_GetCode(status) != TF_OK) return;
  const char* device = TFE_TensorHandleDeviceName(handle_, status);
  if (TF_GetCode(status) != TF_OK) return;
  TFE_OpSetDevice(op.get(), device, status);
  if (TF_GetCode(status) != TF_OK) return;
  int num_retvals = 0;

				}
				if v, ok := columnType.Comment(); !ok || v != "my age" {
					t.Fatalf("column age comment should be correct, name: %v, column: %#v", columnType.Name(),
						columnType)
				}
			case "code":
				if v, ok := columnType.Unique(); !ok || !v {
					t.Fatalf("column code unique should be correct, name: %v, column: %#v", columnType.Name(),
						columnType)
				}

  auto status = pjrt::PjrtApi(DEVICE_CPU);
  if (!status.ok()) {
    TF_ASSERT_OK(pjrt::SetPjrtApi(DEVICE_CPU, GetPjrtApi()));
  }
  TF_ASSERT_OK_AND_ASSIGN(auto pjrt_client, xla::GetCApiClient(DEVICE_CPU));
  TF_ASSERT_OK(SetPjRtClientInTFGlobalResourceManager(DEVICE_CPU,
                                                      std::move(pjrt_client)));

  TF_ASSERT_OK_AND_ASSIGN(
      auto pjrt_client_get,

							assignValue(field, value[k])
						}
					} else if v, ok := selectColumns[field.Name]; (ok && v) || (!ok && !restricted) {
						assignValue(field, value[k])
					}
					continue
				}
			}

			if v, ok := selectColumns[k]; (ok && v) || (!ok && !restricted) {
				set = append(set, clause.Assignment{Column: clause.Column{Name: k}, Value: kv})
			}
		}

		if !stmt.SkipHooks && stmt.Schema != nil {

        TFE_DeleteOp);
    if (TF_GetCode(status.get()) != TF_OK) return;
    TFE_OpSetAttrInt(op.get(), "num_replicas", 1);
    TFE_OpAddInput(op.get(), value_one.get(), status.get());
    if (TF_GetCode(status.get()) != TF_OK) return;
    TFE_OpSetDevice(op.get(), device_name, status.get());
    if (TF_GetCode(status.get()) != TF_OK) return;

    TFE_TensorHandle* result_handles;
    int num_retvals = 1;

                  .ok());
  ASSERT_TRUE(worker_server1->Start().ok());

  server_def.set_task_index(2);
  std::unique_ptr<tensorflow::GrpcServer> worker_server2;
  ASSERT_TRUE(tensorflow::GrpcServer::Create(
                  server_def, tensorflow::Env::Default(), &worker_server2)
                  .ok());
  ASSERT_TRUE(worker_server2->Start().ok());

  TF_Status* status = TF_NewStatus();

    TF_SetStatus(status, TF_OK, "");
    PopulateDefaultParam(params);
    params->device_type = "Device0";
  };
  auto plugin_init_1 = [](TP_OptimizerRegistrationParams* const params,
                          TF_Status* const status) -> void {
    TF_SetStatus(status, TF_OK, "");
    PopulateDefaultParam(params);
    params->device_type = "Device1";
  };

  TF_ASSERT_OK(InitGraphPlugin(plugin_init_0));