package uk.ac.diamond.scisoft.analysis.processing.operations.mask;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import org.eclipse.dawnsci.analysis.api.processing.Atomic;
import org.eclipse.dawnsci.analysis.api.processing.OperationData;
import org.eclipse.dawnsci.analysis.api.processing.OperationException;
import org.eclipse.dawnsci.analysis.api.processing.OperationRank;
import org.eclipse.dawnsci.analysis.api.roi.IROI;
import org.eclipse.dawnsci.analysis.dataset.operations.AbstractOperation;
import org.eclipse.january.IMonitor;
import org.eclipse.january.MetadataException;
import org.eclipse.january.dataset.Comparisons;
import org.eclipse.january.dataset.Dataset;
import org.eclipse.january.dataset.DatasetFactory;
import org.eclipse.january.dataset.DatasetUtils;
import org.eclipse.january.dataset.IDataset;
import org.eclipse.january.metadata.MaskMetadata;
import org.eclipse.january.metadata.MetadataFactory;
@Atomic
public class MaskOutsideRegionOperation extends AbstractOperation<MaskOutsideRegionModel, OperationData> {
@Override
protected OperationData process(IDataset input, IMonitor monitor) throws OperationException {
IDataset mask = DatasetUtils.convertToDataset(getFirstMask(input));
if (mask != null && !Arrays.equals(input.getShape(), mask.getShape())) {
throw new OperationException(this, "Mask is incorrect shape!");
}
IDataset m = generateMaskFromROI(model.getRegion(), input.getShape());
if (mask != null) m = Comparisons.logicalAnd(mask, m);
MaskMetadata mm;
try {
mm = MetadataFactory.createMetadata(MaskMetadata.class, m);
} catch (MetadataException e) {
throw new OperationException(this, e);
}
input = input.getSliceView();
input.setMetadata(mm);
return new OperationData(input);
}
@Override
public String getId() {
return "uk.ac.diamond.scisoft.analysis.processing.operations.mask.MaskOutsideRegionOperation";
}
@Override
public OperationRank getInputRank() {
return OperationRank.TWO;
}
@Override
public OperationRank getOutputRank() {
return OperationRank.TWO;
}
private IDataset generateMaskFromROI(IROI roi, int[] shape) {
Dataset mask = DatasetFactory.zeros(shape, Dataset.BOOL);
for (int i = 0; i < shape[0]; i++) {
double[] hi = roi.findHorizontalIntersections(i);
if (hi != null) {
boolean cutsStart = roi.containsPoint(0, i);
boolean cutsEnd = roi.containsPoint(shape[1]-1, i);
List<Integer> inters = new ArrayList<Integer>();
if (cutsStart) inters.add(0);
for (double d : hi) {
if (!inters.contains((int)d) && d > 0 && d < shape[1]-1) inters.add((int)d);
}
if (cutsEnd && !inters.contains(shape[1]-1)) inters.add(shape[1]-1);
int[] start = new int[]{i,0};
int[] stop = new int[]{i+1,0};
int[] step = new int[]{1,1};
while (!inters.isEmpty()) {
if (inters.size() == 1) {
start[1] = inters.get(0);
stop[1] = start[1]+1;
mask.setSlice(true, start, stop, step);
inters.remove(0);
} else {
int s = inters.get(0);
int e = inters.get(1);
if (roi.containsPoint(s+(e-s)/2, i)) {
start[1] = s;
stop[1] = e;
mask.setSlice(true, start, stop, step);
inters.remove(0);
} else {
start[1] = inters.get(0);
stop[1] = start[1]+1;
mask.setSlice(true, start, stop, step);
inters.remove(0);
}
}
}
}
}
return mask;
}
}