/*- * 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; } }