/*-
* Copyright 2017 Diamond Light Source Ltd.
*
* All rights reserved. This program and the accompanying materials
* are made available under the terms of the Eclipse Public License v1.0
* which accompanies this distribution, and is available at
* http://www.eclipse.org/legal/epl-v10.html
*/
package uk.ac.diamond.scisoft.analysis.processing.operations.filter;
import java.util.Arrays;
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.dataset.operations.AbstractOperation;
import org.eclipse.dawnsci.analysis.dataset.roi.ROISliceUtils;
import org.eclipse.dawnsci.analysis.dataset.slicer.SliceFromSeriesMetadata;
import org.eclipse.january.DatasetException;
import org.eclipse.january.IMonitor;
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.dataset.ILazyDataset;
public class FilterXYbyRatioOperation extends AbstractOperation<FilterXYbyRatioModel, OperationData> {
private int nextIndex = 0;
@Override
public String getId() {
return "uk.ac.diamond.scisoft.analysis.processing.operations.filter.FilterXYbyRatioOperation";
}
@Override
public OperationRank getInputRank() {
return OperationRank.ONE;
}
@Override
public OperationRank getOutputRank() {
return OperationRank.ONE;
}
@Override
public void init(){
nextIndex = 0;
}
@Override
protected OperationData process(IDataset input, IMonitor monitor) throws OperationException {
ILazyDataset[] firstAxes = getFirstAxes(input);
IDataset axis = null;
if (firstAxes == null || firstAxes[0] == null) {
axis = DatasetFactory.createRange(input.getSize(), Dataset.INT32);
} else {
try {
axis = firstAxes[0].getSlice();
} catch (DatasetException e) {
throw new OperationException(this, e);
}
}
double num = getIntegratedValue(axis, input, model.getNumeratorRange());
double denom = getIntegratedValue(axis, input, model.getDenominatorRange());
double ratio = num/denom;
boolean above = ratio >= model.getThreshold();
if ((above && !model.isFilterAboveThreshold()) || (!above && model.isFilterAboveThreshold())) {
SliceFromSeriesMetadata ssm = input.getFirstMetadata(SliceFromSeriesMetadata.class);
Dataset index = DatasetFactory.createFromObject(ssm.getSliceInfo().getSliceNumber());
if (ssm.getSliceInfo().getSliceNumber() != nextIndex) {
ssm.getSliceInfo().reducedDimension(ssm.getSliceInfo().calculateFastestDimension(), nextIndex+1, nextIndex);
}
index.setName("index");
nextIndex++;
return new OperationData(input,index);
}
return null;
}
private double getIntegratedValue(IDataset axis, IDataset input, double[] integrationRange){
int[] indexes = new int[2];
if (integrationRange != null) {
integrationRange = integrationRange.clone();
Arrays.sort(integrationRange);
indexes = new int[2];
indexes[0]= ROISliceUtils.findPositionOfClosestValueInAxis(axis, integrationRange[0]);
indexes[1]= ROISliceUtils.findPositionOfClosestValueInAxis(axis, integrationRange[1]);
Arrays.sort(indexes);
} else {
indexes[0] = 0;
indexes[1] = axis.getSize()-1;
}
double out = 0;
for (int i = indexes[0]; i < indexes[1]; i++) {
double val = (input.getDouble(i)+input.getDouble(i+1))/2;
double tmp = Math.abs((axis.getDouble(i+1)-axis.getDouble(i)));
val = val * tmp;
out += val;
}
return out;
}
}