/** Create a set of candidate branching objects. */
int
BlisBranchStrategyRel::createCandBranchObjects(int numPassesLeft)
{
int bStatus = 0;
int i, pass, colInd;
int preferDir, saveLimit;
int numFirsts = 0;
int numInfs = 0;
int minCount = 0;
int numLowerTightens = 0;
int numUpperTightens = 0;
double lpX, score, infeasibility, downDeg, upDeg, sumDeg = 0.0;
bool roundAgain, downKeep, downGood, upKeep, upGood;
int *lbInd = NULL;
int *ubInd = NULL;
double *newLB = NULL;
double *newUB = NULL;
double * saveUpper = NULL;
double * saveLower = NULL;
double * saveSolution = NULL;
BlisModel *model = dynamic_cast<BlisModel *>(model_);
OsiSolverInterface * solver = model->solver();
int numCols = model->getNumCols();
int numObjects = model->numObjects();
//int lookAhead = dynamic_cast<BlisParams*>
// (model->blisPar())->entry(BlisParams::lookAhead);
//------------------------------------------------------
// Check if max time is reached or no pass is left.
//------------------------------------------------------
double timeLimit = model->AlpsPar()->entry(AlpsParams::timeLimit);
bool maxTimeReached = (CoinCpuTime() - model->startTime_ > timeLimit);
bool selectNow = false;
if (maxTimeReached || !numPassesLeft) {
selectNow = true;
#ifdef BLIS_DEBUG
printf("REL: CREATE: maxTimeReached %d, numPassesLeft %d\n",
maxTimeReached, numPassesLeft);
#endif
}
// Store first time objects.
std::vector<BlisObjectInt *> firstObjects;
// Store infeasible objects.
std::vector<BlisObjectInt *> infObjects;
// TODO: check if sorting is expensive.
std::multimap<double, BlisObjectInt*, BlisPseuoGreater> sortedObjects;
double objValue = solver->getObjSense() * solver->getObjValue();
const double * lower = solver->getColLower();
const double * upper = solver->getColUpper();
int lookAhead = dynamic_cast<BlisParams*>
(model->BlisPar())->entry(BlisParams::lookAhead);
BlisObjectInt * intObject = NULL;
//------------------------------------------------------
// Backup solver status and mark hot start.
//-----------------------------------------------------
saveSolution = new double[numCols];
memcpy(saveSolution, solver->getColSolution(), numCols*sizeof(double));
saveLower = new double[numCols];
saveUpper = new double[numCols];
memcpy(saveLower, lower, numCols * sizeof(double));
memcpy(saveUpper, upper, numCols * sizeof(double));
//------------------------------------------------------
// Find the infeasible objects.
// NOTE: we might go round this loop twice if we are feed in
// a "feasible" solution.
//------------------------------------------------------
for (pass = 0; pass < 2; ++pass) {
numInfs = 0;
BcpsObject * object = NULL;
infObjects.clear();
firstObjects.clear();
for (i = 0; i < numObjects; ++i) {
object = model->objects(i);
infeasibility = object->infeasibility(model, preferDir);
if (infeasibility) {
++numInfs;
intObject = dynamic_cast<BlisObjectInt *>(object);
if (intObject) {
//score = object->pseudocost().getScore();
//tempBO = object->createBranchObject(model, preferDir);
//candObjects.insert(std::make_pair(score, tempBO));
//tempBO = NULL;
infObjects.push_back(intObject);
if (!selectNow) {
minCount =
ALPS_MIN(intObject->pseudocost().getDownCount(),
intObject->pseudocost().getUpCount());
if (minCount < 1) {
firstObjects.push_back(intObject);
}
}
#ifdef BLIS_DEBUG_MORE
if (intObject->columnIndex() == 15) {
std::cout << "x[15] = " << saveSolution[15]
<< std::endl;
}
#endif
intObject = NULL;
}
else {
// TODO: currently all are integer objects.
#ifdef BLIS_DEBU
assert(0);
#endif
}
}
}
if (numInfs) {
#ifdef BLIS_DEBUG_MORE
std::cout << "REL: numInfs = " << numInfs
<< std::endl;
#endif
break;
}
else if (pass == 0) {
// The first pass and is IP feasible.
#ifdef BLIS_DEBUG
std::cout << "REL: given a feasible sol" << std::endl;
#endif
roundAgain = false;
CoinWarmStartBasis * ws =
dynamic_cast<CoinWarmStartBasis*>(solver->getWarmStart());
if (!ws) break;
// Force solution values within bounds
for (i = 0; i < numCols; ++i) {
lpX = saveSolution[i];
if (lpX < lower[i]) {
saveSolution[i] = lower[i];
roundAgain = true;
ws->setStructStatus(i, CoinWarmStartBasis::atLowerBound);
}
else if (lpX > upper[i]) {
saveSolution[i] = upper[i];
roundAgain = true;
ws->setStructStatus(i, CoinWarmStartBasis::atUpperBound);
}
}
if (roundAgain) {
// Need resolve and do the second round selection.
solver->setWarmStart(ws);
delete ws;
// Resolve.
solver->resolve();
if (!solver->isProvenOptimal()) {
// Become infeasible, can do nothing.
bStatus = -2;
goto TERM_CREATE;
}
else {
// Save new lp solution.
memcpy(saveSolution, solver->getColSolution(),
numCols * sizeof(double));
objValue = solver->getObjSense() * solver->getObjValue();
}
}
else {
delete ws;
break;
}
}
} // EOF 2 pass
//--------------------------------------------------
// If we have a set of first time object,
// branch up and down to initialize pseudo-cost.
//--------------------------------------------------
numFirsts = static_cast<int> (firstObjects.size());
if (numFirsts > 0) {
CoinWarmStart * ws = solver->getWarmStart();
solver->getIntParam(OsiMaxNumIterationHotStart, saveLimit);
int maxIter = ALPS_MAX(model->getAveIterations(), 50);
solver->setIntParam(OsiMaxNumIterationHotStart, maxIter);
solver->markHotStart();
lbInd = new int [numFirsts];
ubInd = new int [numFirsts];
newLB = new double [numFirsts];
newUB = new double [numFirsts];
for (i = 0; i < numFirsts && bStatus != -2; ++i) {
colInd = firstObjects[i]->columnIndex();
lpX = saveSolution[colInd];
BlisStrongBranch(model, objValue, colInd, lpX,
saveLower, saveUpper,
downKeep, downGood, downDeg,
upKeep, upGood, upDeg);
if(!downKeep && !upKeep) {
// Both branch can be fathomed
bStatus = -2;
}
else if (!downKeep) {
// Down branch can be fathomed.
lbInd[numLowerTightens] = colInd;
newLB[numLowerTightens++] = ceil(lpX);
//break;
}
else if (!upKeep) {
// Up branch can be fathomed.
ubInd[numUpperTightens] = colInd;
newUB[numUpperTightens++] = floor(lpX);
// break;
}
// Update pseudocost.
if(downGood) {
firstObjects[i]->pseudocost().update(-1, downDeg, lpX);
}
if(downGood) {
firstObjects[i]->pseudocost().update(1, upDeg, lpX);
}
}
//--------------------------------------------------
// Set new bounds in lp solver for resolving
//--------------------------------------------------
if (bStatus != -2) {
if (numUpperTightens > 0) {
bStatus = -1;
for (i = 0; i < numUpperTightens; ++i) {
solver->setColUpper(ubInd[i], newUB[i]);
}
}
if (numLowerTightens > 0) {
bStatus = -1;
for (i = 0; i < numLowerTightens; ++i) {
solver->setColLower(lbInd[i], newLB[i]);
}
}
}
//--------------------------------------------------
// Unmark hotstart and recover LP solver.
//--------------------------------------------------
solver->unmarkHotStart();
solver->setColSolution(saveSolution);
solver->setIntParam(OsiMaxNumIterationHotStart, saveLimit);
solver->setWarmStart(ws);
delete ws;
}
//std::cout << "REL: bStatus = " << bStatus << std::endl;
if (bStatus < 0) {
// Infeasible or monotone.
goto TERM_CREATE;
}
else {
// All object's pseudocost have been initialized.
// Sort them, and do strong branch for the unreliable one
// NOTE: it set model->savedLpSolution.
// model->feasibleSolution(numIntegerInfs, numObjectInfs);
sumDeg = 0.0;
for (i = 0; i < numInfs; ++i) {
score = infObjects[i]->pseudocost().getScore();
sumDeg += score;
std::pair<const double, BlisObjectInt*> sa(score, infObjects[i]);
sortedObjects.insert(sa);
#ifdef BLIS_DEBUG_MORE
std::cout << "col[" << infObjects[i]->columnIndex() << "]="
<< score << ", "<< std::endl;
#endif
}
int numNotChange = 0;
std::multimap< double, BlisObjectInt*, BlisPseuoGreater >::iterator pos;
CoinWarmStart * ws = solver->getWarmStart();
solver->getIntParam(OsiMaxNumIterationHotStart, saveLimit);
int maxIter = ALPS_MAX(model->getAveIterations(), 50);
solver->setIntParam(OsiMaxNumIterationHotStart, maxIter);
solver->markHotStart();
BlisObjectInt *bestObject = NULL;
double bestScore = -10.0;
for (pos = sortedObjects.begin(); pos != sortedObjects.end(); ++pos) {
intObject = pos->second;
colInd = intObject->columnIndex();
#ifdef BLIS_DEBUG_MORE
std::cout << "col[" << colInd << "]: "
<< "score=" << pos->first
<< ", upCount=" << intObject->pseudocost().getUpCount()
<<", downCount="<< intObject->pseudocost().getDownCount()
<< std::endl;
#endif
// Check if reliable.
int objRelibility=ALPS_MIN(intObject->pseudocost().getUpCount(),
intObject->pseudocost().getDownCount());
if (objRelibility < relibility_) {
// Unrelible object. Do strong branching.
lpX = saveSolution[colInd];
BlisStrongBranch(model, objValue, colInd, lpX,
saveLower, saveUpper,
downKeep, downGood, downDeg,
upKeep, upGood, upDeg);
// Update pseudocost.
if(downGood) {
intObject->pseudocost().update(-1, downDeg, lpX);
}
if(downGood) {
intObject->pseudocost().update(1, upDeg, lpX);
}
}
// Compare with the best.
if (intObject->pseudocost().getScore() > bestScore) {
bestScore = intObject->pseudocost().getScore();
bestObject = intObject;
// Reset
numNotChange = 0;
}
else {
// If best doesn't change for "lookAhead" comparisons, then
// the best is reliable.
if (++numNotChange > lookAhead) {
if (bestObject->pseudocost().getUpCost() >
bestObject->pseudocost().getDownCost()) {
preferDir = 1;
}
else {
preferDir = -1;
}
break;
}
}
}
solver->unmarkHotStart();
solver->setColSolution(saveSolution);
solver->setIntParam(OsiMaxNumIterationHotStart, saveLimit);
solver->setWarmStart(ws);
delete ws;
model->setSolEstimate(objValue + sumDeg);
assert(bestObject != NULL);
bestBranchObject_ = bestObject->createBranchObject(model, preferDir);
}
TERM_CREATE:
//------------------------------------------------------
// Cleanup.
//------------------------------------------------------
delete [] lbInd;
delete [] ubInd;
delete [] newLB;
delete [] newUB;
delete [] saveSolution;
delete [] saveLower;
delete [] saveUpper;
return bStatus;
}
/** Create a set of candidate branching objects. */
int
BlisBranchStrategyPseudo::createCandBranchObjects(int numPassesLeft,
double ub)
{
int bStatus = 0;
int i, pass, colInd;
int preferDir, saveLimit;
int numFirsts = 0;
int numInfs = 0;
int minCount = 0;
int numLowerTightens = 0;
int numUpperTightens = 0;
double lpX, score, infeasibility, downDeg, upDeg, sumDeg = 0.0;
bool roundAgain, downKeep, downGood, upKeep, upGood;
int *lbInd = NULL;
int *ubInd = NULL;
double *newLB = NULL;
double *newUB = NULL;
double *saveUpper = NULL;
double *saveLower = NULL;
double *saveSolution = NULL;
BlisModel *model = dynamic_cast<BlisModel *>(model_);
OsiSolverInterface *solver = model->solver();
int numCols = model->getNumCols();
int numObjects = model->numObjects();
int aveIterations = model->getAveIterations();
//std::cout << "aveIterations = " << aveIterations << std::endl;
//------------------------------------------------------
// Check if max time is reached or no pass is left.
//------------------------------------------------------
double timeLimit = model->AlpsPar()->entry(AlpsParams::timeLimit);
AlpsKnowledgeBroker *broker = model->getKnowledgeBroker();
bool maxTimeReached = (broker->timer().getTime() > timeLimit);
bool selectNow = false;
if (maxTimeReached || !numPassesLeft) {
selectNow = true;
#ifdef BLIS_DEBUG
printf("PSEUDO: CREATE: maxTimeReached %d, numPassesLeft %d\n",
maxTimeReached, numPassesLeft);
#endif
}
// Store first time objects.
std::vector<BlisObjectInt *> firstObjects;
// Store infeasible objects.
std::vector<BlisObjectInt *> infObjects;
// TODO: check if sorting is expensive.
std::multimap<double, BcpsBranchObject*, BlisPseuoGreater> candObjects;
double objValue = solver->getObjSense() * solver->getObjValue();
const double * lower = solver->getColLower();
const double * upper = solver->getColUpper();
saveSolution = new double[numCols];
memcpy(saveSolution, solver->getColSolution(), numCols*sizeof(double));
//--------------------------------------------------
// Find the infeasible objects.
// NOTE: we might go round this loop twice if we are feed in
// a "feasible" solution.
//--------------------------------------------------
for (pass = 0; pass < 2; ++pass) {
numInfs = 0;
BcpsObject * object = NULL;
BlisObjectInt * intObject = NULL;
infObjects.clear();
firstObjects.clear();
for (i = 0; i < numObjects; ++i) {
object = model->objects(i);
infeasibility = object->infeasibility(model, preferDir);
if (infeasibility) {
++numInfs;
intObject = dynamic_cast<BlisObjectInt *>(object);
if (intObject) {
infObjects.push_back(intObject);
if (!selectNow) {
minCount =
ALPS_MIN(intObject->pseudocost().getDownCount(),
intObject->pseudocost().getUpCount());
if (minCount < 1) {
firstObjects.push_back(intObject);
}
}
#ifdef BLIS_DEBUG
if (intObject->columnIndex() == 40) {
std::cout << "x[40] = " << saveSolution[40]
<< std::endl;
}
#endif
intObject = NULL;
}
else {
// TODO: currently all are integer objects.
#ifdef BLIS_DEBU
assert(0);
#endif
}
}
}
if (numInfs) {
#if 0
std::cout << "PSEUDO: numInfs = " << numInfs
<< std::endl;
#endif
break;
}
else if (pass == 0) {
// The first pass and is IP feasible.
#if 1
std::cout << "ERROR: PSEUDO: given a integer feasible sol, no fraction variable" << std::endl;
assert(0);
#endif
roundAgain = false;
CoinWarmStartBasis * ws =
dynamic_cast<CoinWarmStartBasis*>(solver->getWarmStart());
if (!ws) break;
// Force solution values within bounds
for (i = 0; i < numCols; ++i) {
lpX = saveSolution[i];
if (lpX < lower[i]) {
saveSolution[i] = lower[i];
roundAgain = true;
ws->setStructStatus(i, CoinWarmStartBasis::atLowerBound);
}
else if (lpX > upper[i]) {
saveSolution[i] = upper[i];
roundAgain = true;
ws->setStructStatus(i, CoinWarmStartBasis::atUpperBound);
}
}
if (roundAgain) {
// Need resolve and do the second round selection.
solver->setWarmStart(ws);
delete ws;
// Resolve.
solver->resolve();
if (!solver->isProvenOptimal()) {
// Become infeasible, can do nothing.
bStatus = -2;
goto TERM_CREATE;
}
else {
// Save new lp solution.
memcpy(saveSolution, solver->getColSolution(),
numCols * sizeof(double));
objValue = solver->getObjSense() * solver->getObjValue();
}
}
else {
delete ws;
break;
}
}
} // EOF 2 pass
//--------------------------------------------------
// If we have a set of first time object,
// branch up and down to initialize pseudo-cost.
//--------------------------------------------------
numFirsts = static_cast<int> (firstObjects.size());
//std::cout << "PSEUDO: numFirsts = " << numFirsts << std::endl;
if (numFirsts > 0) {
//std::cout << "PSEUDO: numFirsts = " << numFirsts << std::endl;
//--------------------------------------------------
// Backup solver status and mark hot start.
//--------------------------------------------------
saveLower = new double[numCols];
saveUpper = new double[numCols];
memcpy(saveLower, lower, numCols * sizeof(double));
memcpy(saveUpper, upper, numCols * sizeof(double));
CoinWarmStart * ws = solver->getWarmStart();
solver->getIntParam(OsiMaxNumIterationHotStart, saveLimit);
aveIterations = ALPS_MIN(50, aveIterations);
solver->setIntParam(OsiMaxNumIterationHotStart, aveIterations);
solver->markHotStart();
lbInd = new int [numFirsts];
ubInd = new int [numFirsts];
newLB = new double [numFirsts];
newUB = new double [numFirsts];
for (i = 0; i < numFirsts && bStatus != -2; ++i) {
colInd = firstObjects[i]->columnIndex();
lpX = saveSolution[colInd];
BlisStrongBranch(model, objValue, colInd, lpX,
saveLower, saveUpper,
downKeep, downGood, downDeg,
upKeep, upGood, upDeg);
if(!downKeep && !upKeep) {
// Both branch can be fathomed
bStatus = -2;
}
else if (!downKeep) {
// Down branch can be fathomed.
lbInd[numLowerTightens] = colInd;
newLB[numLowerTightens++] = ceil(lpX);
}
else if (!upKeep) {
// Up branch can be fathomed.
ubInd[numUpperTightens] = colInd;
newUB[numUpperTightens++] = floor(lpX);
}
}
//--------------------------------------------------
// Set new bounds in lp solver for resolving
//--------------------------------------------------
if (bStatus != -2) {
if (numUpperTightens > 0) {
bStatus = -1;
for (i = 0; i < numUpperTightens; ++i) {
solver->setColUpper(ubInd[i], newUB[i]);
}
}
if (numLowerTightens > 0) {
bStatus = -1;
for (i = 0; i < numLowerTightens; ++i) {
solver->setColLower(lbInd[i], newLB[i]);
}
}
}
//--------------------------------------------------
// Unmark hotstart and recover LP solver.
//--------------------------------------------------
solver->unmarkHotStart();
solver->setColSolution(saveSolution);
solver->setIntParam(OsiMaxNumIterationHotStart, saveLimit);
solver->setWarmStart(ws);
delete ws;
}
if (bStatus < 0) {
goto TERM_CREATE;
}
else {
// Create a set of candidate branching objects.
numBranchObjects_ = numInfs;
branchObjects_ = new BcpsBranchObject* [numInfs];
// NOTE: it set model->savedLpSolution.
sumDeg = 0.0;
for (i = 0; i < numInfs; ++i) {
if (infObjects[i]->pseudocost().getUpCost() <
infObjects[i]->pseudocost().getDownCost()) {
preferDir = 1;
}
else {
preferDir = -1;
}
branchObjects_[i] = infObjects[i]->createBranchObject(model,
preferDir);
score = infObjects[i]->pseudocost().getScore();
branchObjects_[i]->setUpScore(score);
sumDeg += score;
#ifdef BLIS_DEBUG_MORE
std::cout << "col[" << infObjects[i]->columnIndex() << "]: score="
<< score << ", dir=" << branchObjects_[i]->getDirection()
<< ", up=" << infObjects[i]->pseudocost().getUpCost()
<< ", down=" << infObjects[i]->pseudocost().getDownCost()
<< std::endl;
#endif
}
model->setSolEstimate(objValue + sumDeg);
}
TERM_CREATE:
//------------------------------------------------------
// Cleanup.
//------------------------------------------------------
delete [] lbInd;
delete [] ubInd;
delete [] newLB;
delete [] newUB;
delete [] saveSolution;
delete [] saveLower;
delete [] saveUpper;
return bStatus;
}
BlisReturnStatus
BlisStrongBranch(BlisModel *model, double objValue, int colInd, double x,
const double *saveLower, const double *saveUpper,
bool &downKeep, bool &downFinished, double &downDeg,
bool &upKeep, bool &upFinished, double &upDeg)
{
BlisReturnStatus status = BlisReturnStatusOk;
int lpStatus = 0;
int j, numIntInfDown, numObjInfDown;
double newObjValue;
OsiSolverInterface * solver = model->solver();
int numCols = solver->getNumCols();
const double * lower = solver->getColLower();
const double * upper = solver->getColUpper();
// Restore bounds
int numDiff = 0;
BlisSolution* ksol = NULL;
int ind = model->getIntObjIndices()[colInd];
BlisObjectInt *intObj = dynamic_cast<BlisObjectInt *>(model->objects(ind));
#ifdef BLIS_DEBUG_MORE
for (j = 0; j < numCols; ++j) {
if (saveLower[j] != lower[j]) {
//solver->setColLower(j, saveLower[j]);
++numDiff;
}
if (saveUpper[j] != upper[j]) {
//solver->setColUpper(j, saveUpper[j]);
++numDiff;
}
}
std::cout << "BEFORE: numDiff = " << numDiff << std::endl;
#endif
//------------------------------------------------------
// Branching down.
//------------------------------------------------------
solver->setColUpper(colInd, floor(x));
solver->solveFromHotStart();
newObjValue = solver->getObjSense() * solver->getObjValue();
downDeg = newObjValue - objValue;
if (solver->isProvenOptimal()) {
lpStatus = 0; // optimal
#ifdef BLIS_DEBUG_MORE
printf("STRONG: COL[%d]: downDeg=%g, x=%g\n", colInd, downDeg, x);
#endif
// Update pseudocost
intObj->pseudocost().update(-1, downDeg, x);
model->setSharedObjectMark(ind);
// Check if ip feasible
ksol = model->feasibleSolution(numIntInfDown, numObjInfDown);
if (ksol) {
#ifdef BLIS_DEBUG_MORE
printf("STRONG:Down:found a feasible solution\n");
#endif
model->storeSolution(BlisSolutionTypeStrong, ksol);
downKeep = false;
}
else {
downKeep = true;
}
downFinished = true;
}
else if (solver->isIterationLimitReached() &&
!solver->isDualObjectiveLimitReached()) {
lpStatus = 2; // unknown
downKeep = true;
downFinished = false;
}
else {
downDeg = 1.0e20;
lpStatus = 1; // infeasible
downKeep = false;
downFinished = false;
}
#ifdef BLIS_DEBUG_MORE
std::cout << "Down: lpStatus = " << lpStatus << std::endl;
#endif
// restore bounds
numDiff = 0;
for (j = 0; j < numCols; ++j) {
if (saveLower[j] != lower[j]) {
solver->setColLower(j, saveLower[j]);
++numDiff;
}
if (saveUpper[j] != upper[j]) {
solver->setColUpper(j, saveUpper[j]);
++numDiff;
}
}
#ifdef BLIS_DEBUG
assert(numDiff > 0);
//std::cout << "numDiff = " << numDiff << std::endl;
#endif
//----------------------------------------------
// Branching up.
//----------------------------------------------
solver->setColLower(colInd, ceil(x));
solver->solveFromHotStart();
newObjValue = solver->getObjSense() * solver->getObjValue();
upDeg = newObjValue - objValue;
if (solver->isProvenOptimal()) {
lpStatus = 0; // optimal
#ifdef BLIS_DEBUG_MORE
printf("STRONG: COL[%d]: upDeg=%g, x=%g\n", colInd, upDeg, x);
#endif
// Update pseudocost
intObj->pseudocost().update(1, upDeg, x);
model->setSharedObjectMark(ind);
// Check if IP feasible
ksol = model->feasibleSolution(numIntInfDown, numObjInfDown);
if (ksol) {
#ifdef BLIS_DEBUG_MORE
printf("STRONG:Up:found a feasible solution\n");
#endif
model->storeSolution(BlisSolutionTypeStrong, ksol);
upKeep = false;
}
else {
upKeep = true;
}
upFinished = true;
}
else if (solver->isIterationLimitReached()
&&!solver->isDualObjectiveLimitReached()) {
lpStatus = 2; // unknown
upKeep = true;
upFinished = false;
}
else {
lpStatus = 1; // infeasible
upKeep = false;
upFinished = false;
upDeg = 1.0e20;
}
#ifdef BLIS_DEBUG_MORE
std::cout << "STRONG: Up: lpStatus = " << lpStatus << std::endl;
#endif
// restore bounds
for (j = 0; j < numCols; ++j) {
if (saveLower[j] != lower[j]) {
solver->setColLower(j,saveLower[j]);
}
if (saveUpper[j] != upper[j]) {
solver->setColUpper(j,saveUpper[j]);
}
}
return status;
}