Scilab 6.1.0
- Aide de Scilab
- API Scilab
- legacy
- List manipulation
- isListType, isTListType, isMListType
- Boolean reading (Scilab gateway)
- Boolean writing (Scilab gateway)
- Boolean sparse reading (Scilab gateway)
- Boolean sparse writing (Scilab gateway)
- Create List (Scilab gateway)
- Double reading (Scilab gateway)
- Double writing (Scilab gateway)
- Get child item (Scilab gateway)
- Item Number (Scilab gateway)
- Integer reading (Scilab gateway)
- Integer writing (Scilab gateway)
- Pointer reading (Scilab gateway)
- Pointer writing (Scilab gateway)
- Polynomial reading (Scilab gateway)
- Polynomial writing (Scilab gateway)
- Sparse reading (Scilab gateway)
- Sparse writing (Scilab gateway)
- String reading (Scilab gateway)
- String writing (Scilab gateway)
Please note that the recommended version of Scilab is 2025.0.0. This page might be outdated.
However, this page did not exist in the previous stable version.
Sparse writing (Scilab gateway)
How to add sparse matrix in a list.
Create from existing data.
Syntax
Input argument profile:
SciErr createSparseMatrixInList(void* _pvCtx, int _iVar, int* _piParent, int _iItemPos, int _iRows, int _iCols, int _iNbItem, const int* _piNbItemRow, const int* _piColPos, const double* _pdblReal)
SciErr createComplexSparseMatrixInList(void* _pvCtx, int _iVar, int* _piParent, int _iItemPos, int _iRows, int _iCols, int _iNbItem, const int* _piNbItemRow, const int* _piColPos, const double* _pdblReal, const double* _pdblImg)
Named variable profile:
SciErr createSparseMatrixInNamedList(void* _pvCtx, const char* _pstName, int* _piParent, int _iItemPos, int _iRows, int _iCols, int _iNbItem, const int* _piNbItemRow, const int* _piColPos, const double* _pdblReal)
SciErr createComplexSparseMatrixInNamedList(void* _pvCtx, const char* _pstName, int* _piParent, int _iItemPos, int _iRows, int _iCols, int _iNbItem, const int* _piNbItemRow, const int* _piColPos, const double* _pdblReal, const double* _pdblImg)
Arguments
- _pvCtx
Scilab environment pointer, pass in "pvApiCtx" provided by api_scilab.h.
- _iVar
Position in the Scilab memory where you want to put the variable.
- _pstName
Name of the variable for "named" functions.
- _piParent
Address of the parent of the new item.
- _iItemPos
Position of the new item in the list.
- _iRows
Number of rows of the new variable.
- _iCols
Number of columns of the new variable.
- _iNbItem
Number of non zero itmes in the sparse.
- _piNbItemRow
Number of item in each rows (size: _iRows).
- _piColPos
Column position for each item (size: _iNbItem).
- _pdblReal
Address of real data array (size: _iNbItem).
- _pdblImg
Address of imaginary data array (size: _iNbItem).
- SciErr
Error structure where is stored errors messages history and first error number.
Description
This help describes how to add sparse matrix in a list.
Gateway Source
#include "api_scilab.h" int list_createlist(char *fname,void* pvApiCtx) { SciErr sciErr; int *piAddr = NULL; int* piChild = NULL; double pdblData1[] = {1,3,5,2,4,6}; double pdblData2[] = {6,4,2,5,3,1}; char *pstData[] = {"may","be","the","with","puffin","you"}; short psData[] = {1,4,2,5,3,6}; double pdblPoly1[] = {1}; double pdblPoly2[] = {-2,-1}; double pdblPoly3[] = {1,2,3}; double pdblPoly4[] = {-4,-3,-2,-1}; double pdblPoly5[] = {1,2,3,4,5}; double pdblPoly6[] = {-6,-5,-4,-3,-2,-1}; double *pdblPoly[] = {pdblPoly1, pdblPoly3, pdblPoly5, pdblPoly2, pdblPoly4, pdblPoly6}; int piCoef[] = {1,3,5,2,4,6}; int piNbItemRow[] = {1,2,1}; int piColPos[] = {8,4,7,2}; double pdblSReal[] = {1,2,3,4}; double pdblSImg[] = {4,3,2,1}; int piBool[] = {1,0,1,0,1,0,1,0,1}; double* pdblDataPtr = NULL; sciErr = createList(pvApiCtx, nbInputArgument(pvApiCtx) + 1, 8, &piAddr); if(sciErr.iErr) { printError(&sciErr, 0); return 0; } sciErr = createComplexMatrixOfDoubleInList(pvApiCtx, nbInputArgument(pvApiCtx) + 1, piAddr, 1, 3, 2, pdblData1, pdblData2); if(sciErr.iErr) { printError(&sciErr, 0); return 0; } sciErr = createMatrixOfStringInList(pvApiCtx, nbInputArgument(pvApiCtx) + 1, piAddr, 2, 2, 3, pstData); if(sciErr.iErr) { printError(&sciErr, 0); return 0; } sciErr = createMatrixOfInteger16InList(pvApiCtx, nbInputArgument(pvApiCtx) + 1, piAddr, 3, 2, 3, psData); if(sciErr.iErr) { printError(&sciErr, 0); return 0; } sciErr = createMatrixOfPolyInList(pvApiCtx, nbInputArgument(pvApiCtx) + 1, piAddr, 4, "x", 3, 2, piCoef, pdblPoly); if(sciErr.iErr) { printError(&sciErr, 0); return 0; } sciErr = createComplexSparseMatrixInList(pvApiCtx, nbInputArgument(pvApiCtx) + 1, piAddr, 5, 3, 10, 4, piNbItemRow, piColPos, pdblSReal, pdblSImg); if(sciErr.iErr) { printError(&sciErr, 0); return 0; } sciErr = createMatrixOfBooleanInList(pvApiCtx, nbInputArgument(pvApiCtx) + 1, piAddr, 6, 3, 3, piBool); if(sciErr.iErr) { printError(&sciErr, 0); return 0; } sciErr = createBooleanSparseMatrixInList(pvApiCtx, nbInputArgument(pvApiCtx) + 1, piAddr, 7, 3, 10, 4, piNbItemRow, piColPos); if(sciErr.iErr) { printError(&sciErr, 0); return 0; } //add list in list sciErr = createListInList(pvApiCtx, nbInputArgument(pvApiCtx) + 1, piAddr, 8, 3, &piChild); if(sciErr.iErr) { printError(&sciErr, 0); return 0; } sciErr = createMatrixOfDoubleInList(pvApiCtx, nbInputArgument(pvApiCtx) + 1, piChild, 1, 3, 2, pdblData1); if(sciErr.iErr) { printError(&sciErr, 0); return 0; } sciErr = createSparseMatrixInList(pvApiCtx, nbInputArgument(pvApiCtx) + 1, piChild, 2, 3, 10, 4, piNbItemRow, piColPos, pdblSReal); if(sciErr.iErr) { printError(&sciErr, 0); return 0; } pdblDataPtr = (double*)malloc(sizeof(double) * 4); pdblDataPtr[0] = 1; pdblDataPtr[1] = 2; pdblDataPtr[2] = 3; pdblDataPtr[3] = 4; sciErr = createPointerInList(pvApiCtx, nbInputArgument(pvApiCtx) + 1, piChild, 3, pdblDataPtr); if(sciErr.iErr) { printError(&sciErr, 0); return 0; } AssignOutputVariable(pvApiCtx, 1) = nbInputArgument(pvApiCtx) + 1; return 0; }
Scilab test script
size_ref = 8; type_ref = ["constant","string","int16","polynomial", "sparse", "boolean", "boolean sparse", "list"]; dim_ref = list([3,2],[2,3],[2,3],[3,2],[3,10],[3,3],[3,10],3); l = list_createlist(); if size(l) <> size_ref then error("failed"), end for i = 1 : size_ref if typeof(l(i)) <> type_ref(i) then error("failed"), end if size(l(i)) <> dim_ref(i) then error("failed"), end end
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