How to read boolean sparse in a gateway.
Input argument profile:
SciErr getBooleanSparseMatrix(void* _pvCtx, int* _piAddress, int* _piRows, int* _piCols, int* _piNbItem, int** _piNbItemRow, int** _piColPos)
Named variable profile:
SciErr readNamedBooleanSparseMatrix(void* _pvCtx, const char* _pstName, int* _piRows, int* _piCols, int* _piNbItem, int* _piNbItemRow, int* _piColPos)
: :_piAddress Address of the Scilab variable. : :_pstName Name of the variable for “named” functions. : :_piRows Return number of rows of the variable. : :_piCols Return number of columns of the variable. : :_piNbItem Return number of non zero value. : :_piNbItemRow Return number of item in each rows (size: _iRows). For
“Named” function, _piNbItemRow must be allocated before calling function.
:
This help describes how to read boolean sparse.
#include "api_scilab.h"
int read_write_bsparse(char *fname,unsigned long fname_len)
{
SciErr sciErr;
int i = 0;
int j = 0;
int k = 0;
//first variable info : real matrix of double
int iRows = 0;
int iCols = 0;
int *piAddr = NULL;
int iNbItem = 0;
int* piNbItemRow = NULL;
int* piColPos = NULL;
int iCol = 0;
int iNewCol = 0;
int iNewItem = 0;
int* piNewRow = NULL;
int* piNewCol = NULL;
//check input and output arguments
CheckInputArgument(pvApiCtx, 1, 1);
CheckOutputArgument(pvApiCtx, 1, 1);
//get variable address of the first input argument
sciErr = getVarAddressFromPosition(pvApiCtx, 1, &piAddr);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
//get size and data from Scilab memory
sciErr = getBooleanSparseMatrix(pvApiCtx, piAddr, &iRows, &iCols, &iNbItem, &piNbItemRow, &piColPos);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
//Do something with data
//convert %T -> %F and %F -> %T
iNewItem = (iRows * iCols) - iNbItem;
piNewRow = (int*)MALLOC(sizeof(int) * iRows);
piNewCol = (int*)MALLOC(sizeof(int) * iNewItem);
for(i = 0 ; i < iRows ; i++)
{
piNewRow[i] = iCols - piNbItemRow[i];
for(j = 0 ; j < iCols ; j++)
{
int iFind = 0;
for(k = 0 ; k < piNbItemRow[i] ; k++)
{
if(piColPos[iCol + k] == (j + 1))
{
iFind = 1;
break;
}
}
if(iFind == 0)
{
piNewCol[iNewCol++] = (j + 1);
}
}
iCol += piNbItemRow[i];
}
sciErr = createBooleanSparseMatrix(pvApiCtx, nbInputArgument + 1, iRows, iCols, iNewItem, piNewRow, piNewCol);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
AssignOutputVariable(1) = nbInputArgument + 1;
return 0;
}
a = `sparse`_([%t, %f, %t ; %f, %t, %f ; %t, %f, %t]);
a_ref = `sparse`_([%f, %t, %f ; %t, %f, %t ; %f, %t, %f]);
b = read_write_bsparse(a);
if `or`_(b <> a_ref) then `error`_("failed");end