public <T extends RealType<T>> double computeAverage(final Iterable<T> input) {
final RealSum realSum = new RealSum();
long count = 0;
for (final T type : input) {
count++;
realSum.add(type.getRealDouble());
}
return realSum.getSum() / count;
}
private static final void incompatibleLoop(
final Cursor<FloatType> psiCursor,
final ArrayList<RandomAccess<FloatType>> randomAccessWeights,
final ArrayList<RandomAccess<FloatType>> randomAccessImgs,
final RealSum realSum,
final int m) {
final FloatType p = psiCursor.next();
double sum = 0;
double sumW = 0;
for (int j = 0; j < m; ++j) {
final RandomAccess<FloatType> randomAccessWeight = randomAccessWeights.get(j);
final RandomAccess<FloatType> randomAccessImg = randomAccessImgs.get(j);
randomAccessWeight.setPosition(psiCursor);
randomAccessImg.setPosition(psiCursor);
final double w = randomAccessWeight.get().get();
final double i = randomAccessImg.get().get();
sum += i * w;
sumW += w;
}
if (sumW > 0) {
final double i = sum / sumW;
realSum.add(i);
p.set((float) i);
}
}
private static final void compatibleLoop(
final Cursor<FloatType> psiCursor,
final ArrayList<Cursor<FloatType>> cursorWeights,
final ArrayList<Cursor<FloatType>> cursorImgs,
final RealSum realSum,
final int m) {
double sum = 0;
double sumW = 0;
for (int j = 0; j < m; ++j) {
final double w = cursorWeights.get(j).next().get();
final double i = cursorImgs.get(j).next().get();
sum += i * w;
sumW += w;
}
if (sumW > 0) {
final double i = sum / sumW;
realSum.add(i);
psiCursor.next().set((float) i);
} else {
psiCursor.fwd();
}
}
