}

	if err := saveServerConfig(context.Background(), objLayer, globalServerConfig); err != nil {
		t.Fatalf("Unable to save updated config file %s", err)
	}

	// Initialize server config.
	if err := loadConfig(objLayer, nil); err != nil {
		t.Fatalf("Unable to initialize from updated config file %s", err)
	}

	return quick.SaveConfig(data, configFile, globalEtcdClient)
}

// Load config from backend
func Load(configFile string, data interface{}) (quick.Config, error) {
	return quick.LoadConfig(configFile, globalEtcdClient, data)
}

func readConfigWithoutMigrate(ctx context.Context, objAPI ObjectLayer) (config.Config, error) {
	// Construct path to config.json for the given bucket.

// NewWebhook creates a new generic admission webhook.
func NewWebhook(handler *admission.Handler, configFile io.Reader, sourceFactory sourceFactory, dispatcherFactory dispatcherFactory) (*Webhook, error) {
	kubeconfigFile, err := config.LoadConfig(configFile)
	if err != nil {
		return nil, err
	}

	cm, err := webhookutil.NewClientManager(
		[]schema.GroupVersion{
			admissionv1beta1.SchemeGroupVersion,
			admissionv1.SchemeGroupVersion,
		},

  # Configure this to work with msys2, TF's preferred windows bash.
  config.lit_tools_dir = '/usr/bin'

lit.llvm.initialize(lit_config, config)

# Let the main config do the real work.
lit_config.load_config(
    config,
    os.path.join(
        os.path.join(real_test_srcdir, os.environ['TEST_WORKSPACE'],
                     'tensorflow/compiler/mlir/runlit.cfg.py')))