}
    }

    /**
     * Initializes the native services to use the given user home directory to store native libs and other resources. Does nothing if already initialized.
     *
     * Initializes all the services needed for the Gradle daemon.
     */
    public static void initializeOnDaemon(File userHomeDir, NativeServicesMode mode) {
        INSTANCE.initialize(userHomeDir, EnumSet.allOf(NativeFeatures.class), mode);

		}
		emitted[info] = true

		infoLhs := info.lhs // possibly nil (see declInfo.lhs field comment)
		if infoLhs == nil {
			infoLhs = []*Var{v}
		}
		init := &Initializer{infoLhs, info.init}
		check.Info.InitOrder = append(check.Info.InitOrder, init)
	}

	if debug {
		fmt.Println()
		fmt.Println("Initialization order:")
		for _, init := range check.Info.InitOrder {

		}
		emitted[info] = true

		infoLhs := info.lhs // possibly nil (see declInfo.lhs field comment)
		if infoLhs == nil {
			infoLhs = []*Var{v}
		}
		init := &Initializer{infoLhs, info.init}
		check.Info.InitOrder = append(check.Info.InitOrder, init)
	}

	if debug {
		fmt.Println()
		fmt.Println("Initialization order:")
		for _, init := range check.Info.InitOrder {

	"internal/abi"
	"unsafe"
)

type mOS struct {
	initialized bool
	mutex       pthreadmutex
	cond        pthreadcond
	count       int
}

func unimplemented(name string) {
	println(name, "not implemented")
	*(*int)(unsafe.Pointer(uintptr(1231))) = 1231
}

//go:nosplit
func semacreate(mp *m) {
	if mp.initialized {
		return
	}
	mp.initialized = true
	if err := pthread_mutex_init(&mp.mutex, nil); err != 0 {

  "tf_saved_model.asset"() {filename = "assets/table.txt", sym_name = "v"} : () -> ()
  "tf_saved_model.session_initializer"() {initializers = [@NoOp_0, @NoOp_1]} : () -> ()
// Check that the initializer typed "init_op" is removed from initializers list.
// CHECK: "tf_saved_model.session_initializer"()
// CHECK-SAME: initializers = []

func.func @NoOp_0(%arg0: tensor<!tf_type.string> {tf_saved_model.bound_input = @v})

  // expected-error@+1 {{the initializer function does not exist}}
  "tf_saved_model.session_initializer"() { initializers = [@init] } : () -> ()
}

// -----

module attributes {tf_saved_model.semantics} {

  // expected-error@+1 {{the initializer function should have no output}}
  "tf_saved_model.session_initializer"() { initializers = [@init] } : () -> ()

      }
    }

    TFConcreteFunction* initialize = nullptr;
    if (resource_revival_state.initialize != nullptr) {
      initialize = revived->concrete_functions.Find(
          resource_revival_state.initialize->node_id);
      if (initialize == nullptr) {
        return absl::FailedPreconditionError(absl::StrCat(
            "'initialize' function with node id ",

// CHECK-LOC-SAME: loc("var_1")
}

// -----

// RestoreV2 op not created for `AssignVariableOp(VarHandleOp, Const)` patterns
// in the initializer function of "init_op" type.

module attributes {tf_saved_model.semantics} {
  "tf_saved_model.session_initializer"() {initializers = [@init_func_init_op]} : () -> ()

  func.func @init_func_init_op() -> () attributes {
      tf_saved_model.initializer_type = "init_op",

// Creates a pass that moves & merges initializer function's ops into the @main
// function. This pass should be run on a valid tf_executor dialect. The control
// output of the initializer function for non-variable resource initialization
// will be passed on as a dependency to a new `tf.NoOp`, whose control output
// will be merged into the main function's FetchOp. The initializer functions
// will be removed.
//

		if globalIsDistErasure {
			logger.Info("Waiting for all MinIO sub-systems to be initialize...")
		}

		// Upon success migrating the config, initialize all sub-systems
		// if all sub-systems initialized successfully return right away
		err := initConfigSubsystem(ctx, newObject)
		if err == nil {
			// All successful return.
			if globalIsDistErasure {