void sortArray(int *numbers)
{
int i, maxInd;
for (i = size - 1; i > 0; i--)
{
maxInd = indexMax(numbers, 0, i);
swap(&numbers[maxInd], &numbers[i]);
}
}
void FakeMDEventData::addFakeRegularData(
const std::vector<double> ¶ms,
typename MDEventWorkspace<MDE, nd>::sptr ws) {
// the parameters for regular distribution of events over the box
std::vector<double> startPoint(nd), delta(nd);
std::vector<size_t> indexMax(nd);
size_t gridSize(0);
// bool RandomizeSignal = getProperty("RandomizeSignal");
size_t num = size_t(params[0]);
if (num == 0)
throw std::invalid_argument(
" number of distributed events can not be equal to 0");
Progress prog(this, 0.0, 1.0, 100);
size_t progIncrement = num / 100;
if (progIncrement == 0)
progIncrement = 1;
// Inserter to help choose the correct event type
auto eventHelper =
MDEvents::MDEventInserter<typename MDEventWorkspace<MDE, nd>::sptr>(ws);
gridSize = 1;
for (size_t d = 0; d < nd; ++d) {
double min = ws->getDimension(d)->getMinimum();
double max = ws->getDimension(d)->getMaximum();
double shift = params[d * 2 + 1];
double step = params[d * 2 + 2];
if (shift < 0)
shift = 0;
if (shift >= step)
shift = step * (1 - FLT_EPSILON);
startPoint[d] = min + shift;
if ((startPoint[d] < min) || (startPoint[d] >= max))
throw std::invalid_argument("RegularData: starting point must be within "
"the box for all dimensions.");
if (step <= 0)
throw(std::invalid_argument(
"Step of the regular grid is less or equal to 0"));
indexMax[d] = size_t((max - min) / step);
if (indexMax[d] == 0)
indexMax[d] = 1;
// deal with round-off errors
while ((startPoint[d] + double(indexMax[d] - 1) * step) >= max)
step *= (1 - FLT_EPSILON);
delta[d] = step;
gridSize *= indexMax[d];
}
// Create all the requested events
std::vector<size_t> indexes;
size_t cellCount(0);
for (size_t i = 0; i < num; ++i) {
coord_t centers[nd];
Kernel::Utils::getIndicesFromLinearIndex(cellCount, indexMax, indexes);
++cellCount;
if (cellCount >= gridSize)
cellCount = 0;
for (size_t d = 0; d < nd; d++) {
centers[d] = coord_t(startPoint[d] + delta[d] * double(indexes[d]));
}
// Default or randomized error/signal
float signal = 1.0;
float errorSquared = 1.0;
// if (RandomizeSignal)
//{
// signal = float(0.5 + genUnit());
// errorSquared = float(0.5 + genUnit());
//}
// Create and add the event.
eventHelper.insertMDEvent(signal, errorSquared, 1, pickDetectorID(),
centers); // 1 = run number
// Progress report
if ((i % progIncrement) == 0)
prog.report();
}
}
