return errServerNotInitialized
	}

	sys.objAPI = objAPI

	// Load bucket metadata sys.
	sys.init(ctx, buckets)
	return nil
}

// concurrently load bucket metadata to speed up loading bucket metadata.
func (sys *BucketMetadataSys) concurrentLoad(ctx context.Context, buckets []string) {
	g := errgroup.WithNErrs(len(buckets))
	bucketMetas := make([]BucketMetadata, len(buckets))
	for index := range buckets {

    *   Added APIs for switching between interactive logging and absl logging.
        By default, Keras always writes the logs to stdout. However, this is not
        optimal in a non-interactive environment, where you don't have access to
        stdout, but can only view the logs. You can use
        `tf.keras.utils.disable_interactive_logging()` to write the logs to ABSL
        logging. You can also use `tf.keras.utils.enable_interactive_logging()`

		cmd.Env = listEnv(w.context)
		if w.context.Dir != "" {
			cmd.Dir = w.context.Dir
		}
		cmd.Stderr = os.Stderr
		out, err := cmd.Output()
		if err != nil {
			log.Fatalf("loading imports: %v\n%s", err, out)
		}

		var stdPackages []string
		importMap := make(map[string]map[string]string)
		importDir := make(map[string]string)
		dec := json.NewDecoder(bytes.NewReader(out))
		for {

build:ios_fat --config=ios
build:ios_fat --ios_multi_cpus=armv7,arm64,i386,x86_64

# Config to use a mostly-static build and disable modular op registration
# support (this will revert to loading TensorFlow with RTLD_GLOBAL in Python).
# By default, TensorFlow will build with a dependence on
# //tensorflow:libtensorflow_framework.so.
build:monolithic --define framework_shared_object=false

	return auth.Credentials{
		AccessKey: accessKey,
		SecretKey: secretKey,
	}
}

// Initialize KMS global variable after valiadating and loading the configuration.
// It depends on KMS env variables and global cli flags.
func handleKMSConfig() {
	present, err := kms.IsPresent()
	if err != nil {
		logger.Fatal(err, "Invalid KMS configuration specified")
	}

bool_setting(
    name = "oss_setting",
    build_setting_default = if_oss(True, False),
    visibility = ["//visibility:private"],
)

# Setting to use when loading kernels dynamically
config_setting(
    name = "dynamic_loaded_kernels",
    define_values = {
        "dynamic_loaded_kernels": "true",
        "framework_shared_object": "true",
    },

			}
		}
		break
	}

	refreshInterval := sys.iamRefreshInterval
	go sys.periodicRoutines(ctx, refreshInterval)

	bootstrapTraceMsg("finishing IAM loading")
}

const maxDurationSecondsForLog = 5

func (sys *IAMSys) periodicRoutines(ctx context.Context, baseInterval time.Duration) {
	// Watch for IAM config changes for iamStorageWatcher.

        shape_handle, static_cast<DataType>(types[i]));
  }

  ic->set_output_handle_shapes_and_types(output.index, shape_and_type_vec);
}

// Helpers for loading a TensorFlow plugin (a .so file).
absl::Status LoadDynamicLibrary(const char* library_filename, void** result,
                                const void** buf, size_t* len);

			return nil, fmt.Errorf("parity validation returned an error: %w <- (%d, %d), for pool(%s)", err, commonParityDrives, ep.DrivesPerSet, humanize.Ordinal(i+1))
		}

		bootstrapTrace("waitForFormatErasure: loading disks", func() {
			storageDisks[i], formats[i], err = waitForFormatErasure(local, ep.Endpoints, i+1,
				ep.SetCount, ep.DrivesPerSet, deploymentID)
		})
		if err != nil {
			return nil, err
		}

	LockingOptionsNoWait     = "NOWAIT"
)

type Locking struct {
	Strength string
	Table    Table
	Options  string
}

// Name where clause name
func (locking Locking) Name() string {
	return "FOR"
}

// Build build where clause
func (locking Locking) Build(builder Builder) {
	builder.WriteString(locking.Strength)
	if locking.Table.Name != "" {
		builder.WriteString(" OF ")