/*
Install the name information from a CoinMpsIO object.
*/
void OsiSolverInterface::setRowColNames (const CoinMpsIO &mps)
{ int nameDiscipline,m,n ;
/*
Determine how we're handling names. It's possible that the underlying solver
has overridden getIntParam, but doesn't recognise OsiNameDiscipline. In that
case, we want to default to auto names
*/
bool recognisesOsiNames = getIntParam(OsiNameDiscipline,nameDiscipline) ;
if (recognisesOsiNames == false)
{ nameDiscipline = 0 ; }
/*
Whatever happens, we're about to clean out the current name vectors. Decide
on an appropriate size and call reallocRowColNames to adjust capacity.
*/
if (nameDiscipline == 0)
{ m = 0 ;
n = 0 ; }
else
{ m = mps.getNumRows() ;
n = mps.getNumCols() ; }
reallocRowColNames(rowNames_,m,colNames_,n) ;
/*
If name discipline is auto, we're done already. Otherwise, load 'em
up. If I understand MPS correctly, names are required.
*/
if (nameDiscipline != 0)
{ rowNames_.resize(m) ;
for (int i = 0 ; i < m ; i++)
{ rowNames_[i] = mps.rowName(i) ; }
objName_ = mps.getObjectiveName() ;
colNames_.resize(n) ;
for (int j = 0 ; j < n ; j++)
{ colNames_[j] = mps.columnName(j) ; } }
return ; }
int main(int argc, const char *argv[])
{
int status;
CoinMpsIO m;
if (argc < 2)
status = m.readMps("model1.mps", "");
else
status = m.readMps(argv[1], "");
if (status) {
fprintf(stdout, "Bad readMps %s\n", argv[1]);
exit(1);
}
// Load up model1 - so we can use known good solution
ClpSimplex model1;
model1.loadProblem(*m.getMatrixByCol(),
m.getColLower(), m.getColUpper(),
m.getObjCoefficients(),
m.getRowLower(), m.getRowUpper());
model1.dual();
// Get data arrays
const CoinPackedMatrix * matrix1 = m.getMatrixByCol();
const int * start1 = matrix1->getVectorStarts();
const int * length1 = matrix1->getVectorLengths();
const int * row1 = matrix1->getIndices();
const double * element1 = matrix1->getElements();
const double * columnLower1 = m.getColLower();
const double * columnUpper1 = m.getColUpper();
const double * rowLower1 = m.getRowLower();
const double * rowUpper1 = m.getRowUpper();
const double * objective1 = m.getObjCoefficients();
int numberColumns = m.getNumCols();
int numberRows = m.getNumRows();
int numberElements = m.getNumElements();
// Get new arrays
int numberColumns2 = (numberColumns + 1);
int * start2 = new int[numberColumns2+1];
int * row2 = new int[numberElements];
double * element2 = new double[numberElements];
int * segstart = new int[numberColumns+1];
double * breakpt = new double[2*numberColumns];
double * slope = new double[2*numberColumns];
double * objective2 = new double[numberColumns2];
double * columnLower2 = new double[numberColumns2];
double * columnUpper2 = new double[numberColumns2];
double * rowLower2 = new double[numberRows];
double * rowUpper2 = new double[numberRows];
// We need to modify rhs
memcpy(rowLower2, rowLower1, numberRows * sizeof(double));
memcpy(rowUpper2, rowUpper1, numberRows * sizeof(double));
double objectiveOffset = 0.0;
// For new solution
double * newSolution = new double [numberColumns];
const double * oldSolution = model1.primalColumnSolution();
int iColumn;
for (iColumn = 0; iColumn < numberColumns; iColumn++)
printf("%g ", oldSolution[iColumn]);
printf("\n");
numberColumns2 = 0;
numberElements = 0;
start2[0] = 0;
int segptr = 0;
segstart[0] = 0;
// Now check for duplicates
for (iColumn = 0; iColumn < numberColumns; iColumn++) {
// test if column identical to next column
bool ifcopy = 1;
if (iColumn < numberColumns - 1) {
int joff = length1[iColumn];
for (int j = start1[iColumn]; j < start1[iColumn] + length1[iColumn]; j++) {
if (row1[j] != row1[j+joff]) {
ifcopy = 0;
break;
}
if (element1[j] != element1[j+joff]) {
ifcopy = 0;
break;
}
}
} else {
ifcopy = 0;
}
//if (iColumn>47||iColumn<45)
//ifcopy=0;
if (ifcopy) {
double lo1 = columnLower1[iColumn];
double up1 = columnUpper1[iColumn];
double obj1 = objective1[iColumn];
double sol1 = oldSolution[iColumn];
double lo2 = columnLower1[iColumn+1];
double up2 = columnUpper1[iColumn+1];
double obj2 = objective1[iColumn+1];
double sol2 = oldSolution[iColumn+1];
if (fabs(up1 - lo2) > 1.0e-8) {
// try other way
double temp;
temp = lo1;
lo1 = lo2;
lo2 = temp;
temp = up1;
up1 = up2;
up2 = temp;
temp = obj1;
obj1 = obj2;
obj2 = temp;
temp = sol1;
sol1 = sol2;
sol2 = temp;
assert(fabs(up1 - lo2) < 1.0e-8);
}
// subtract out from rhs
double fixed = up1;
// do offset
objectiveOffset += fixed * obj2;
for (int j = start1[iColumn]; j < start1[iColumn] + length1[iColumn]; j++) {
int iRow = row1[j];
double value = element1[j];
if (rowLower2[iRow] > -1.0e30)
rowLower2[iRow] -= value * fixed;
if (rowUpper2[iRow] < 1.0e30)
rowUpper2[iRow] -= value * fixed;
}
newSolution[numberColumns2] = fixed;
if (fabs(sol1 - fixed) > 1.0e-8)
newSolution[numberColumns2] = sol1;
if (fabs(sol2 - fixed) > 1.0e-8)
newSolution[numberColumns2] = sol2;
columnLower2[numberColumns2] = lo1;
columnUpper2[numberColumns2] = up2;
objective2[numberColumns2] = 0.0;
breakpt[segptr] = lo1;
slope[segptr++] = obj1;
breakpt[segptr] = lo2;
slope[segptr++] = obj2;
for (int j = start1[iColumn]; j < start1[iColumn] + length1[iColumn]; j++) {
row2[numberElements] = row1[j];
element2[numberElements++] = element1[j];
}
start2[++numberColumns2] = numberElements;
breakpt[segptr] = up2;
slope[segptr++] = COIN_DBL_MAX;
segstart[numberColumns2] = segptr;
iColumn++; // skip next column
} else {
// normal column
columnLower2[numberColumns2] = columnLower1[iColumn];
columnUpper2[numberColumns2] = columnUpper1[iColumn];
objective2[numberColumns2] = objective1[iColumn];
breakpt[segptr] = columnLower1[iColumn];
slope[segptr++] = objective1[iColumn];
for (int j = start1[iColumn]; j < start1[iColumn] + length1[iColumn]; j++) {
row2[numberElements] = row1[j];
element2[numberElements++] = element1[j];
}
newSolution[numberColumns2] = oldSolution[iColumn];
start2[++numberColumns2] = numberElements;
breakpt[segptr] = columnUpper1[iColumn];
slope[segptr++] = COIN_DBL_MAX;
segstart[numberColumns2] = segptr;
}
}
// print new number of columns, elements
printf("New number of columns = %d\n", numberColumns2);
printf("New number of elements = %d\n", numberElements);
printf("Objective offset is %g\n", objectiveOffset);
ClpSimplex model;
// load up
model.loadProblem(numberColumns2, numberRows,
start2, row2, element2,
columnLower2, columnUpper2,
objective2,
rowLower2, rowUpper2);
model.scaling(0);
model.setDblParam(ClpObjOffset, -objectiveOffset);
// Create nonlinear objective
int returnCode = model.createPiecewiseLinearCosts(segstart, breakpt, slope);
assert(!returnCode);
// delete
delete [] segstart;
delete [] breakpt;
delete [] slope;
delete [] start2;
delete [] row2 ;
delete [] element2;
delete [] objective2;
delete [] columnLower2;
delete [] columnUpper2;
delete [] rowLower2;
delete [] rowUpper2;
// copy in solution - (should be optimal)
model.allSlackBasis();
memcpy(model.primalColumnSolution(), newSolution, numberColumns2 * sizeof(double));
//memcpy(model.columnLower(),newSolution,numberColumns2*sizeof(double));
//memcpy(model.columnUpper(),newSolution,numberColumns2*sizeof(double));
delete [] newSolution;
//model.setLogLevel(63);
const double * solution = model.primalColumnSolution();
double * saveSol = new double[numberColumns2];
memcpy(saveSol, solution, numberColumns2 * sizeof(double));
for (iColumn = 0; iColumn < numberColumns2; iColumn++)
printf("%g ", solution[iColumn]);
printf("\n");
// solve
model.primal(1);
for (iColumn = 0; iColumn < numberColumns2; iColumn++) {
if (fabs(solution[iColumn] - saveSol[iColumn]) > 1.0e-3)
printf(" ** was %g ", saveSol[iColumn]);
printf("%g ", solution[iColumn]);
}
printf("\n");
model.primal(1);
for (iColumn = 0; iColumn < numberColumns2; iColumn++) {
if (fabs(solution[iColumn] - saveSol[iColumn]) > 1.0e-3)
printf(" ** was %g ", saveSol[iColumn]);
printf("%g ", solution[iColumn]);
}
printf("\n");
model.primal();
for (iColumn = 0; iColumn < numberColumns2; iColumn++) {
if (fabs(solution[iColumn] - saveSol[iColumn]) > 1.0e-3)
printf(" ** was %g ", saveSol[iColumn]);
printf("%g ", solution[iColumn]);
}
printf("\n");
model.allSlackBasis();
for (iColumn = 0; iColumn < numberColumns2; iColumn++) {
if (fabs(solution[iColumn] - saveSol[iColumn]) > 1.0e-3)
printf(" ** was %g ", saveSol[iColumn]);
printf("%g ", solution[iColumn]);
}
printf("\n");
model.setLogLevel(63);
model.primal();
for (iColumn = 0; iColumn < numberColumns2; iColumn++) {
if (fabs(solution[iColumn] - saveSol[iColumn]) > 1.0e-3)
printf(" ** was %g ", saveSol[iColumn]);
printf("%g ", solution[iColumn]);
}
printf("\n");
return 0;
}
//--------------------------------------------------------------------------
// Test building a model
void
CoinModelUnitTest(const std::string & mpsDir,
const std::string & netlibDir, const std::string & testModel)
{
// Get a model
CoinMpsIO m;
std::string fn = mpsDir+"exmip1";
int numErr = m.readMps(fn.c_str(),"mps");
assert( numErr== 0 );
int numberRows = m.getNumRows();
int numberColumns = m.getNumCols();
// Build by row from scratch
{
CoinPackedMatrix matrixByRow = * m.getMatrixByRow();
const double * element = matrixByRow.getElements();
const int * column = matrixByRow.getIndices();
const CoinBigIndex * rowStart = matrixByRow.getVectorStarts();
const int * rowLength = matrixByRow.getVectorLengths();
const double * rowLower = m.getRowLower();
const double * rowUpper = m.getRowUpper();
const double * columnLower = m.getColLower();
const double * columnUpper = m.getColUpper();
const double * objective = m.getObjCoefficients();
int i;
CoinModel temp;
for (i=0; i<numberRows; i++) {
temp.addRow(rowLength[i],column+rowStart[i],
element+rowStart[i],rowLower[i],rowUpper[i],m.rowName(i));
}
// Now do column part
for (i=0; i<numberColumns; i++) {
temp.setColumnBounds(i,columnLower[i],columnUpper[i]);
temp.setColumnObjective(i,objective[i]);
if (m.isInteger(i))
temp.setColumnIsInteger(i,true);;
}
// write out
temp.writeMps("byRow.mps");
}
// Build by column from scratch and save
CoinModel model;
{
CoinPackedMatrix matrixByColumn = * m.getMatrixByCol();
const double * element = matrixByColumn.getElements();
const int * row = matrixByColumn.getIndices();
const CoinBigIndex * columnStart = matrixByColumn.getVectorStarts();
const int * columnLength = matrixByColumn.getVectorLengths();
const double * rowLower = m.getRowLower();
const double * rowUpper = m.getRowUpper();
const double * columnLower = m.getColLower();
const double * columnUpper = m.getColUpper();
const double * objective = m.getObjCoefficients();
int i;
for (i=0; i<numberColumns; i++) {
model.addColumn(columnLength[i],row+columnStart[i],
element+columnStart[i],columnLower[i],columnUpper[i],
objective[i],m.columnName(i),m.isInteger(i));
}
// Now do row part
for (i=0; i<numberRows; i++) {
model.setRowBounds(i,rowLower[i],rowUpper[i]);
}
// write out
model.writeMps("byColumn.mps");
}
// model was created by column - play around
{
CoinModel temp;
int i;
for (i=numberRows-1; i>=0; i--)
temp.setRowLower(i,model.getRowLower(i));
for (i=0; i<numberColumns; i++) {
temp.setColumnUpper(i,model.getColumnUpper(i));
temp.setColumnName(i,model.getColumnName(i));
}
for (i=numberColumns-1; i>=0; i--) {
temp.setColumnLower(i,model.getColumnLower(i));
temp.setColumnObjective(i,model.getColumnObjective(i));
temp.setColumnIsInteger(i,model.getColumnIsInteger(i));
}
for (i=0; i<numberRows; i++) {
temp.setRowUpper(i,model.getRowUpper(i));
temp.setRowName(i,model.getRowName(i));
}
// Now elements
for (i=0; i<numberRows; i++) {
CoinModelLink triple=model.firstInRow(i);
while (triple.column()>=0) {
temp(i,triple.column(),triple.value());
triple=model.next(triple);
}
}
// and by column
for (i=numberColumns-1; i>=0; i--) {
CoinModelLink triple=model.lastInColumn(i);
while (triple.row()>=0) {
assert (triple.value()==temp(triple.row(),i));
temp(triple.row(),i,triple.value());
triple=model.previous(triple);
}
}
// check equal
model.setLogLevel(1);
assert (!model.differentModel(temp,false));
}
// Try creating model with strings
{
CoinModel temp;
int i;
for (i=numberRows-1; i>=0; i--) {
double value = model.getRowLower(i);
if (value==-1.0)
temp.setRowLower(i,"minusOne");
else if (value==1.0)
temp.setRowLower(i,"sqrt(plusOne)");
else if (value==4.0)
temp.setRowLower(i,"abs(4*plusOne)");
else
temp.setRowLower(i,value);
}
for (i=0; i<numberColumns; i++) {
double value;
value = model.getColumnUpper(i);
if (value==-1.0)
temp.setColumnUpper(i,"minusOne");
else if (value==1.0)
temp.setColumnUpper(i,"plusOne");
else
temp.setColumnUpper(i,value);
temp.setColumnName(i,model.getColumnName(i));
}
for (i=numberColumns-1; i>=0; i--) {
temp.setColumnLower(i,model.getColumnLower(i));
temp.setColumnObjective(i,model.getColumnObjective(i));
temp.setColumnIsInteger(i,model.getColumnIsInteger(i));
}
for (i=0; i<numberRows; i++) {
double value = model.getRowUpper(i);
if (value==-1.0)
temp.setRowUpper(i,"minusOne");
else if (value==1.0)
temp.setRowUpper(i,"plusOne");
else
temp.setRowUpper(i,value);
temp.setRowName(i,model.getRowName(i));
}
// Now elements
for (i=0; i<numberRows; i++) {
CoinModelLink triple=model.firstInRow(i);
while (triple.column()>=0) {
double value = triple.value();
if (value==-1.0)
temp(i,triple.column(),"minusOne");
else if (value==1.0)
temp(i,triple.column(),"plusOne");
else if (value==-2.0)
temp(i,triple.column(),"minusOne-1.0");
else if (value==2.0)
temp(i,triple.column(),"plusOne+1.0+minusOne+(2.0-plusOne)");
else
temp(i,triple.column(),value);
triple=model.next(triple);
}
}
temp.associateElement("minusOne",-1.0);
temp.associateElement("plusOne",1.0);
temp.setProblemName("fromStrings");
temp.writeMps("string.mps");
// check equal
model.setLogLevel(1);
assert (!model.differentModel(temp,false));
}
// Test with various ways of generating
{
/*
Get a model. Try first with netlibDir, fall back to mpsDir (sampleDir)
if that fails.
*/
CoinMpsIO m;
std::string fn = netlibDir+testModel;
double time1 = CoinCpuTime();
int numErr = m.readMps(fn.c_str(),"");
if (numErr != 0) {
std::cout
<< "Could not read " << testModel << " in " << netlibDir
<< "; falling back to " << mpsDir << "." << std::endl ;
fn = mpsDir+testModel ;
numErr = m.readMps(fn.c_str(),"") ;
if (numErr != 0) {
std::cout << "Could not read " << testModel << "; skipping test." << std::endl ;
}
}
if (numErr == 0) {
std::cout
<< "Time for readMps is "
<< (CoinCpuTime()-time1) << " seconds." << std::endl ;
int numberRows = m.getNumRows();
int numberColumns = m.getNumCols();
// Build model
CoinModel model;
CoinPackedMatrix matrixByRow = * m.getMatrixByRow();
const double * element = matrixByRow.getElements();
const int * column = matrixByRow.getIndices();
const CoinBigIndex * rowStart = matrixByRow.getVectorStarts();
const int * rowLength = matrixByRow.getVectorLengths();
const double * rowLower = m.getRowLower();
const double * rowUpper = m.getRowUpper();
const double * columnLower = m.getColLower();
const double * columnUpper = m.getColUpper();
const double * objective = m.getObjCoefficients();
int i;
for (i=0; i<numberRows; i++) {
model.addRow(rowLength[i],column+rowStart[i],
element+rowStart[i],rowLower[i],rowUpper[i],m.rowName(i));
}
// Now do column part
for (i=0; i<numberColumns; i++) {
model.setColumnBounds(i,columnLower[i],columnUpper[i]);
model.setColumnObjective(i,objective[i]);
model.setColumnName(i,m.columnName(i));
if (m.isInteger(i))
model.setColumnIsInteger(i,true);;
}
// Test
CoinSeedRandom(11111);
time1 = 0.0;
int nPass=50;
for (i=0; i<nPass; i++) {
double random = CoinDrand48();
int iSeed = (int) (random*1000000);
//iSeed = 776151;
CoinSeedRandom(iSeed);
std::cout << "before pass " << i << " with seed of " << iSeed << std::endl ;
buildRandom(model,CoinDrand48(),time1,i);
model.validateLinks();
}
std::cout
<< "Time for " << nPass << " CoinModel passes is "
<< time1 << " seconds\n" << std::endl ;
}
}
}
