//lint:ignore ST1005 user-facing error message
		return nil, fmt.Errorf("could not restore state from checkpoint: %v, please drain this node and delete pod allocation checkpoint file %q before restarting Kubelet", err, path.Join(stateDir, checkpointName))
	}
	return stateCheckpoint, nil
}

// restores state from a checkpoint and creates it if it doesn't exist
func (sc *stateCheckpoint) restoreState() error {

/**
 * [KaSymbol] is valid only during read action it was created in
 * To pass the symbol from one read action to another the KtSymbolPointer should be used
 *
 * We can restore the symbol
 *  * for symbol which came from Kotlin source it will be restored based on [com.intellij.psi.SmartPsiElementPointer]
 *  * restoring symbols which came from Java source is not supported yet
 *  * for library symbols:

        0 * javaUtilLoggingSystem._

        when:
        loggingManager.stop()

        then:
        1 * slf4jLoggingSystem.restore(slf4jSnapshot)
        1 * javaUtilLoggingSystem.restore(javaUtilSnapshot)
        1 * loggingRouter.restore(routerSnapshot)
        0 * loggingRouter._
        0 * slf4jLoggingSystem._
        0 * javaUtilLoggingSystem._
    }

}

// Expiry returns expiry of restored object and true if restore-object has completed.
// Otherwise returns zero value of time.Time and false.
func (r restoreObjStatus) Expiry() (time.Time, bool) {
	if r.Ongoing() {
		return time.Time{}, false
	}
	return r.expiry, true
}

// Ongoing returns true if restore-object is ongoing.
func (r restoreObjStatus) Ongoing() bool {

# CHECK-SAME: min_consumer
# CHECK-SAME: producer

# CHECK: tf_saved_model.session_initializer
# CHECK-SAME: initializers = [@[[restore:.*]]]

# CHECK: "tf_saved_model.asset"()
# CHECK-SAME: <{filename = [[filename:.*]], sym_name = "[[sym_name:.*]]"}> : () -> ()

# CHECK:      func @[[restore]](
# CHECK-SAME:   [[variable_path:%.*]]: tensor<!tf_type.string> {tf_saved_model.bound_input = @[[sym_name]]}

func assertStateEqual(t *testing.T, restoredState, expectedState ClaimInfoStateList) {
	assert.Equal(t, expectedState, restoredState, "expected ClaimInfoState does not equal to restored one")
}

// TODO (https://github.com/kubernetes/kubernetes/issues/123552): reconsider what data gets stored in checkpoints and whether that is really necessary.
//

#include "tensorflow/c/eager/abstract_context.h"
#include "tensorflow/c/eager/abstract_tensor_handle.h"

namespace tensorflow {
namespace ops {

// Restores tensors from a V2 checkpoint.
Status RestoreV2(AbstractContext* ctx, AbstractTensorHandle* const prefix,
                 AbstractTensorHandle* const tensor_names,
                 AbstractTensorHandle* const shape_and_slices,

		restoreStatus restoreObjStatus
		ondisk        bool
	}{
		{
			// restore in progress
			restoreStatus: ongoingRestoreObj(),
			ondisk:        false,
		},
		{
			// restore completed but expired
			restoreStatus: completedRestoreObj(time.Now().Add(-time.Hour)),
			ondisk:        false,
		},
		{
			// restore completed
			restoreStatus: completedRestoreObj(time.Now().Add(time.Hour)),

/**
 * Some configurable logging system, whose state can be snapshot, mutated and restored.
 */
public interface LoggingSystem {
    /**
     * Snapshots the current configuration state of this logging system.
     */
    Snapshot snapshot();

    /**
     * Resets this logging system to some previous configuration state.
     */
    void restore(Snapshot state);

    interface Snapshot {
    }

#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/platform/status.h"

namespace tensorflow {
namespace internal {

// TODO(bmzhao): Add a function to restore multiple tensors in one call.

// Restores a single non-partioned tensorhandle of dtype `dtype`, using
// checkpoint at `prefix`, with a value stored in `checkpoint_key`.
Status SingleRestore(ImmediateExecutionContext* ctx, const std::string& prefix,