void SpiralShape::setSize(const QSizeF &newSize)
{
QTransform matrix(resizeMatrix(newSize));
m_center = matrix.map(m_center);
m_radii = matrix.map(m_radii);
KoParameterShape::setSize(newSize);
}
ConfusionMatrix::IntPair ConfusionMatrix::lookupPurposes(Purpose actual, Purpose detectionResult) {
int newPurposeCount = 0;
int actualIdx = purposeIdx(actual);
int detectedIdx = purposeIdx(detectionResult);
if(NOT_FOUND == actualIdx) {
newPurposeCount++;
allPurposes.push_back(actual);
actualIdx = (allPurposes.size() - 1); // last element
}
if(NOT_FOUND == detectedIdx) {
newPurposeCount++;
allPurposes.push_back(detectionResult);
detectedIdx = (allPurposes.size() - 1); // last element
}
if(newPurposeCount > 0) { // Match matrix to new size
localAndClientMsg(VLogger::DEBUG_1, NULL, "Purpose type(s) added, resizing (%dx%d) matrix to: (%dx%d)\n",
(allPurposes.size() - newPurposeCount), (allPurposes.size() - newPurposeCount),
allPurposes.size(), allPurposes.size());
resizeMatrix(newPurposeCount);
}
IntPair pair;
pair.actual = actualIdx;
pair.detected = detectedIdx;
return(pair);
}
int appendMatrix(sparseMatrix *matrix, sparseVector *newVector)
{
if(matrix->count == matrix->size)
resizeMatrix(matrix, matrix->size + 10);
matrix->list[matrix->count] = newVector;
matrix->count++;
putDiagonalIndex(newVector, matrix->count);
return(matrix->count);
}
void rotateMatrix(Matrix *m) {
char *b = m->data;
int t = m->height; m->height = m->width; m->width = t;
resizeMatrix(m);
for (int y = 0; y < m->height; ++y)
for (int x = 0; x < m->width; ++x)
m->data[x + y * m->width] = b[x * m->height + m->height - 1 - y];
free(b);
}
void KoParameterShape::setSize(const QSizeF &newSize)
{
QMatrix matrix(resizeMatrix(newSize));
for (int i = 0; i < m_handles.size(); ++i) {
m_handles[i] = matrix.map(m_handles[i]);
}
KoPathShape::setSize(newSize);
}
void KParameterShape::setSize(const QSizeF &newSize)
{
Q_D(KParameterShape);
QTransform matrix(resizeMatrix(newSize));
for (int i = 0; i < d->handles.size(); ++i) {
d->handles[i] = matrix.map(d->handles[i]);
}
KPathShape::setSize(newSize);
}
void StarShape::setSize(const QSizeF &newSize)
{
QTransform matrix(resizeMatrix(newSize));
m_zoomX *= matrix.m11();
m_zoomY *= matrix.m22();
// this transforms the handles
KoParameterShape::setSize(newSize);
m_center = computeCenter();
}
void KoEnhancedPathShape::setSize( const QSizeF &newSize )
{
QMatrix matrix( resizeMatrix( newSize ) );
KoParameterShape::setSize( newSize );
qreal scaleX = matrix.m11();
qreal scaleY = matrix.m22();
m_viewBoxOffset.rx() *= scaleX;
m_viewBoxOffset.ry() *= scaleY;
m_viewMatrix.scale( scaleX, scaleY );
}
Matrix loadMatrix(FILE* file) {
struct Matrix r;
fscanf(file, "%d %d\n", &r.width, &r.height);
resizeMatrix(&r);
char buf[100];
for (int y = 0; y < r.height; ++y) {
fgets(buf, 100, file);
for (int x = 0; x < r.width; ++x) {
r.data[x+y*r.width] = (buf[x]=='x')?1:0;
}
}
return r;
}
bool Foam::seulex::resize()
{
if (ODESolver::resize())
{
table_.shallowResize(kMaxx_, n_);
resizeField(dfdx_);
resizeMatrix(dfdy_);
resizeMatrix(a_);
resizeField(pivotIndices_);
resizeField(y0_);
resizeField(ySequence_);
resizeField(scale_);
resizeField(dy_);
resizeField(yTemp_);
resizeField(dydx_);
return true;
}
else
{
return false;
}
}
bool Foam::Rosenbrock34::resize()
{
if (ODESolver::resize())
{
adaptiveSolver::resize(n_);
resizeField(k1_);
resizeField(k2_);
resizeField(k3_);
resizeField(k4_);
resizeField(err_);
resizeField(dydx_);
resizeField(dfdx_);
resizeMatrix(dfdy_);
resizeMatrix(a_);
resizeField(pivotIndices_);
return true;
}
else
{
return false;
}
}
bool Foam::SIBS::resize()
{
if (ODESolver::resize())
{
resizeField(yTemp_);
resizeField(ySeq_);
resizeField(yErr_);
resizeField(dydx0_);
resizeField(dfdx_);
resizeMatrix(dfdy_);
return true;
}
else
{
return false;
}
}
sparseMatrix *createMatrix(int dimLimit, int lenLimit, int initVectors)
{
int initsize;
sparseMatrix *matrix;
if(initVectors < 0)
initVectors = 0;
if(initVectors == 0)
initsize = MIN(INITIALSIZE, dimLimit);
else
initsize = MAX(INITIALSIZE, initVectors);
CALLOC(matrix, 1);
matrix->limit = dimLimit;
matrix->limitVector = lenLimit;
resizeMatrix(matrix, initsize);
while(initVectors > 0) {
initVectors--;
appendMatrix(matrix, createVector(lenLimit, 2));
}
return(matrix);
}
/**
* This function returns a resized matrix (10x10) for the cc.
*
* @param cc Connected component
* @param pic Binary image
*
* @return Matrix 10x10
*/
t_matrix *resizeCC(t_cc_elt *cc, t_binary_image *pic)
{
int i, j, itmp, jtmp;
t_matrix *ret;
int height_cc, width_cc;
/* Initialization */
ret = wmalloc(sizeof(t_matrix));
ret->nbrows = 10;
ret->nbcols = 10;
ret->data= NULL;
ret->data = (int **)wmalloc(10 * sizeof(int *));
for (i=0; i < 10; ++i)
ret->data[i] = (int *)wcalloc(10, sizeof(int));
for (i=0; i < 10; ++i)
for (j=0; j < 10; ++j)
ret->data[i][j] = 0;
/* Search of cc informations */
height_cc = cc->coord.ymax - cc->coord.ymin;
width_cc = cc->coord.xmax - cc->coord.xmin;
if ((height_cc <= 10) && (width_cc <= 10))
{
/* Just a rewrite of the cc matrix */
for (i=0; i < height_cc; ++i)
for (j=0; j < width_cc; ++j)
{
itmp = i + cc->coord.ymin;
jtmp = j + cc->coord.xmin;
ret->data[i][j] = pic->matrix->data[itmp][jtmp];
}
}
else
ret = resizeMatrix(ret, cc, pic);
return(ret);
}
void freeMatrix(sparseMatrix *matrix)
{
resizeMatrix(matrix, 0);
MEMFREE(matrix);
}
