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/*
* Symphony Toolbox
* Explicit problem loaders
* Made by Keyur Joshi
*/
#include "symphony.h"
#include "sci_iofunc.hpp"
extern sym_environment* global_sym_env; //defined in globals.cpp
extern "C" {
#include "api_scilab.h"
#include "Scierror.h"
#include "sciprint.h"
#include "BOOL.h"
#include <localization.h>
#include <string.h>
//error management variables
static SciErr sciErr;
static int iRet;
//data declarations
static int *varAddress=NULL,numVars,numConstr,*conMatrixColStart=NULL,*conMatrixRowIndex=NULL,*isIntVarBool=NULL,colIter,rowIter,inputMatrixCols,inputMatrixRows;
static double inputDouble,objSense,*objective=NULL,*lowerBounds=NULL,*upperBounds=NULL,*conLower=NULL,*conUpper=NULL,*conRange=NULL,*conRHS=NULL,*conMatrix=NULL;
static char *conType=NULL,*isIntVar=NULL;
//delete all allocd arrays before exit, and return output argument
static void cleanupBeforeExit()
{
if(conMatrixColStart) delete[] conMatrixColStart;
if(conMatrixRowIndex) delete[] conMatrixRowIndex;
if(isIntVar) delete[] isIntVar;
if(conType) delete[] conType;
if(conRange) delete[] conRange;
if(conRHS) delete[] conRHS;
iRet = createScalarDouble(pvApiCtx, nbInputArgument(pvApiCtx)+1,0);
if(iRet)
{
/* If error, no return variable */
AssignOutputVariable(pvApiCtx, 1) = 0;
return;
}
AssignOutputVariable(pvApiCtx, 1) = nbInputArgument(pvApiCtx)+1;
//ReturnArguments(pvApiCtx);
}
static int checkNumArgs()
{
CheckInputArgument(pvApiCtx,10,10);
CheckOutputArgument(pvApiCtx,1,1);
return 1;
}
//both basic and advanced loader use this code
static int commonCodePart1()
{
//ensure that environment is active
if(global_sym_env==NULL)
{
sciprint("Error: Symphony environment not initialized. Please run 'sym_open()' first.\n");
return 1;
}
//code to check arguments and get them
if(checkNumArgs()==0)
return 1;
//get input 1: number of variables
if(getUIntFromScilab(1,&numVars))
return 1;
//get input 2: number of constraints
if(getUIntFromScilab(2,&numConstr))
return 1;
//allocate and prepare some arrays
isIntVar=new char[numVars]; //is the variable constrained to be an integer?
conType=new char[numConstr]; //char representing constraint type
conRange=new double[numConstr]; //range of each constraint
conRHS=new double[numConstr]; //RHS to be given to Symphony
return 0;
}
//both basic and advanced loader use this code
static int commonCodePart2()
{
//get input 3: lower bounds of variables
if(getFixedSizeDoubleMatrixFromScilab(3,1,numVars,&lowerBounds))
{
cleanupBeforeExit();
return 1;
}
//get input 4: upper bounds of variables
if(getFixedSizeDoubleMatrixFromScilab(4,1,numVars,&upperBounds))
{
cleanupBeforeExit();
return 1;
}
//get input 5: coefficients of variables in objective function to be minimized
if(getFixedSizeDoubleMatrixFromScilab(5,1,numVars,&objective))
{
cleanupBeforeExit();
return 1;
}
//get input 6: array that specifies wether a variable is constrained to be an integer
sciErr = getVarAddressFromPosition(pvApiCtx, 6, &varAddress);
if (sciErr.iErr)
{
printError(&sciErr, 0);
cleanupBeforeExit();return 1;
}
if ( !isBooleanType(pvApiCtx, varAddress) )
{
Scierror(999, "Wrong type for input argument #6: A matrix of booleans is expected.\n");
cleanupBeforeExit();return 1;
}
sciErr = getMatrixOfBoolean(pvApiCtx, varAddress, &inputMatrixRows, &inputMatrixCols, &isIntVarBool);
if (sciErr.iErr)
{
printError(&sciErr, 0);
cleanupBeforeExit();return 1;
}
if(inputMatrixRows!=1 || inputMatrixCols!=numVars)
{
Scierror(999, "Wrong type for input argument #6: Incorrectly sized matrix.\n");
cleanupBeforeExit();return 1;
}
for(colIter=0;colIter<numVars;colIter++)
{
if(isIntVarBool[colIter])
isIntVar[colIter]=TRUE;
else
isIntVar[colIter]=FALSE;
}
//get input 7: wether to minimize or maximize objective
sciErr = getVarAddressFromPosition(pvApiCtx, 7, &varAddress);
if (sciErr.iErr)
{
printError(&sciErr, 0);
return 1;
}
if ( !isDoubleType(pvApiCtx,varAddress) || isVarComplex(pvApiCtx,varAddress) )
{
Scierror(999, "Wrong type for input argument #7: Either 1 (sym_minimize) or -1 (sym_maximize) is expected.\n");
return 1;
}
iRet = getScalarDouble(pvApiCtx, varAddress, &objSense);
if(iRet || (objSense!=-1 && objSense!=1))
{
Scierror(999, "Wrong type for input argument #7: Either 1 (sym_minimize) or -1 (sym_maximize) is expected.\n");
return 1;
}
iRet=sym_set_obj_sense(global_sym_env,objSense);
if(iRet==FUNCTION_TERMINATED_ABNORMALLY)
{
Scierror(999, "An error occured.\n");
return 1;
}
//get input 9: constraint lower bound
if(!(numConstr == 0))
{
if(getFixedSizeDoubleMatrixFromScilab(9,numConstr,1,&conLower) )
{
cleanupBeforeExit();
return 1;
}
}
//get input 10: constraint upper bound
if(!(numConstr == 0))
{
if(getFixedSizeDoubleMatrixFromScilab(10,numConstr,1,&conUpper) && (numConstr == 0) )
{
cleanupBeforeExit();
return 1;
}
}
//deduce type of constraint
for(rowIter=0;rowIter<numConstr;rowIter++)
{
if(conLower[rowIter]>conUpper[rowIter])
{
Scierror(999, "Error: the lower bound of constraint %d is more than its upper bound.\n",rowIter);
cleanupBeforeExit();
return 1;
}
if(conLower[rowIter]==(-INFINITY) && conUpper[rowIter]==INFINITY){
conType[rowIter]='N';
conRange[rowIter]=0;
conRHS[rowIter]=0;
}else if(conLower[rowIter]==(-INFINITY)){
conType[rowIter]='L';
conRange[rowIter]=0;
conRHS[rowIter]=conUpper[rowIter];
}else if(conUpper[rowIter]==INFINITY){
conType[rowIter]='G';
conRange[rowIter]=0;
conRHS[rowIter]=conLower[rowIter];
}else if(conUpper[rowIter]==conLower[rowIter]){
conType[rowIter]='E';
conRange[rowIter]=0;
conRHS[rowIter]=conLower[rowIter];
}else{
conType[rowIter]='R';
conRange[rowIter]=conUpper[rowIter]-conLower[rowIter];
conRHS[rowIter]=conUpper[rowIter];
}
}
/*
//for debug: show all data
sciprint("Vars: %d Constr: %d ObjType: %lf\n",numVars,numConstr,objSense);
for(colIter=0;colIter<numVars;colIter++)
sciprint("Var %d: upper: %lf lower: %lf isInt: %d ObjCoeff: %lf\n",colIter,lowerBounds[colIter],upperBounds[colIter],isIntVar[colIter],objective[colIter]);
for(rowIter=0;rowIter<numConstr;rowIter++)
sciprint("Constr %d: type: %c lower: %lf upper: %lf range: %lf\n",rowIter,conType[rowIter],conLower[rowIter],conRange[rowIter]);
*/
//call problem loader
sym_explicit_load_problem(global_sym_env,numVars,numConstr,conMatrixColStart,conMatrixRowIndex,conMatrix,lowerBounds,upperBounds,isIntVar,objective,NULL,conType,conRHS,conRange,TRUE);
sciprint("Problem loaded into environment.\n");
//code to give output
cleanupBeforeExit();
return 0;
}
//basic problem loader, expects normal matrix. Not suitable for large problems
int sci_sym_loadProblemBasic(char *fname)
{
if(commonCodePart1())
return 1;
if(!(numConstr == 0))
{
//get input 8: matrix of constraint equation coefficients
if(getFixedSizeDoubleMatrixFromScilab(8,numConstr,numVars,&conMatrix) )
{
cleanupBeforeExit();
return 1;
}
}
conMatrixColStart=new int[numVars+1]; //start of each column of constraint matrix, used internally
conMatrixRowIndex=new int[numVars*numConstr]; //index of column elements in each column, used internally
for(colIter=0;colIter<numVars;colIter++)
{
conMatrixColStart[colIter]=colIter*numConstr;
for(rowIter=0;rowIter<numConstr;rowIter++)
{
conMatrixRowIndex[colIter*numConstr+rowIter]=rowIter;
}
}
conMatrixColStart[numVars]=numVars*numConstr;
if(commonCodePart2())
return 1;
return 0;
}
//advanced problem loader, expects sparse matrix. For use with larger problems (>10 vars)
int sci_sym_loadProblem(char *fname)
{
int retVal,nonZeros,*itemsPerRow,*colIndex,matrixIter,newPos,*oldRowIndex,*colStartCopy;
double *data;
if(commonCodePart1())
return 1;
//get input 8: matrix of constraint equation coefficients
sciErr = getVarAddressFromPosition(pvApiCtx, 8, &varAddress);
if (sciErr.iErr)
{
printError(&sciErr, 0);
cleanupBeforeExit();return 1;
}
if(!(numConstr == 0))
{
if ( (!isSparseType(pvApiCtx,varAddress) || isVarComplex(pvApiCtx,varAddress)) && (numConstr == 0))
{
Scierror(999, "Wrong type for input argument #8: A sparse matrix of doubles is expected.\n");
cleanupBeforeExit();return 1;
}
}
sciErr = getSparseMatrix(pvApiCtx,varAddress,&inputMatrixRows,&inputMatrixCols,&nonZeros,&itemsPerRow,&colIndex,&data);
if (sciErr.iErr)
{
printError(&sciErr, 0);
cleanupBeforeExit();return 1;
}
if(inputMatrixRows!=numConstr || inputMatrixCols!=numVars)
{
Scierror(999, "Wrong type for input argument #8: Incorrectly sized matrix.\n");
cleanupBeforeExit();return 1;
}
//convert SciLab format sparse matrix into the format required by Symphony
conMatrix=new double[nonZeros]; //matrix contents
conMatrixColStart=new int[numVars+1]; //where each column of the matrix starts
conMatrixRowIndex=new int[nonZeros]; //row number of each element
oldRowIndex=new int[nonZeros]; //row number in old matrix
colStartCopy=new int[numVars+1]; //temporary copy of conMatrixColStart
for(rowIter=matrixIter=0;rowIter<numConstr;rowIter++) //assign row number to each element in old matrix
for(colIter=0;colIter<itemsPerRow[rowIter];colIter++,matrixIter++)
oldRowIndex[matrixIter]=rowIter;
for(colIter=0;colIter<=numVars;colIter++) //initialize to 0
conMatrixColStart[colIter]=0;
for(matrixIter=0;matrixIter<nonZeros;matrixIter++) //get number of elements in each column
conMatrixColStart[colIndex[matrixIter]]++;
for(colIter=1;colIter<=numVars;colIter++) //perfrom cumulative addition to get final data about where each column starts
{
conMatrixColStart[colIter]+=conMatrixColStart[colIter-1];
colStartCopy[colIter]=conMatrixColStart[colIter];
}
colStartCopy[0]=0;
for(matrixIter=0;matrixIter<nonZeros;matrixIter++) //move data from old matrix to new matrix
{
newPos=colStartCopy[colIndex[matrixIter]-1]++; //calculate its position in the new matrix
conMatrix[newPos]=data[matrixIter]; //move the data
conMatrixRowIndex[newPos]=oldRowIndex[matrixIter]; //assign it its row number
}
retVal=commonCodePart2();
//cleanup some more allocd memory
if(conMatrix) delete[] conMatrix;
if(oldRowIndex) delete[] oldRowIndex;
if(colStartCopy) delete[] colStartCopy;
return retVal;
}
}
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