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/*
 * Copyright (c) 1997 - 2016
 * Actelion Pharmaceuticals Ltd.
 * Gewerbestrasse 16
 * CH-4123 Allschwil, Switzerland
 *
 * All rights reserved.
 *
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions are met:
 *
 * 1. Redistributions of source code must retain the above copyright notice, this
 *    list of conditions and the following disclaimer.
 * 2. Redistributions in binary form must reproduce the above copyright notice,
 *    this list of conditions and the following disclaimer in the documentation
 *    and/or other materials provided with the distribution.
 * 3. Neither the name of the the copyright holder nor the
 *    names of its contributors may be used to endorse or promote products
 *    derived from this software without specific prior written permission.
 *
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
 * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
 * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
 * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
 * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 *
 * @author Modest v. Korff
 */

package com.actelion.research.chem.descriptor.flexophore;

import com.actelion.research.calc.ArrayUtilsCalc;
import com.actelion.research.calc.statistics.median.ModelMedianInteger;
import com.actelion.research.util.datamodel.IntArray;

/**
 * DistHistHelper
 * 

Modest v. Korff

*

* Created by korffmo1 on 13.10.20. */ public class DistHistHelper { public static int getSpread(byte [] a){ int start=0; for (int i = 0; i < a.length; i++) { if(a[i]>0){ start=i; break; } } int end=0; for (int i = a.length-1; i >= 0; i--) { if(a[i]>0){ end=i; break; } } return end-start+1; } public static int getMaxIndexNotZero(byte [] a){ int end=0; for (int i = a.length-1; i >= 0; i--) { if(a[i]>0){ end=i; break; } } return end; } public static int getMedianBin(byte [] a){ int medianBin=-1; int sum = 0; for (byte b : a) { sum+=b; } sum /= 2; int s2=0; for (int i = 0; i < a.length; i++) { s2+=a[i]; if(s2>=sum){ medianBin=i; break; } } return medianBin; } public static RangeStatistics getRangeStatistics(MolDistHist mdh){ RangeStatistics rangeStatisticsTotal = new RangeStatistics(); int n = mdh.getNumPPNodes(); int nn = ((n*n)-n)/2; IntArray iaMaxRange = new IntArray(nn); IntArray iaMedianRange = new IntArray(nn); for (int i = 0; i < n; i++) { for (int j = i+1; j < n; j++) { byte [] arr = mdh.getDistHist(i, j); int indexMax = -1; for (int k = arr.length-1; k >= 0; k--) { if(arr[k]>0){ indexMax = k; break; } } iaMaxRange.add(indexMax); int indexMin = -1; for (int k = 0; k < arr.length; k++) { if(arr[k]>0){ indexMin = k; break; } } int sum=0; for (int k = indexMin; k < indexMax+1; k++) { sum += arr[k]; } int half = sum / 2; sum=0; int indexMedian1=-1; for (int k = indexMin; k < indexMax+1; k++) { sum += arr[k]; if(sum>=half){ indexMedian1=k; break; } } sum=0; int indexMedian2=-1; for (int k = indexMax; k >= indexMin; k--) { sum += arr[k]; if(sum>=half){ indexMedian2=k; break; } } int medianRange = (int)((indexMedian1+indexMedian2)/2.0 +0.5); iaMedianRange.add(medianRange); } } ModelMedianInteger mmi = ArrayUtilsCalc.getMedian(iaMedianRange.get()); rangeStatisticsTotal.maxRange = iaMaxRange.max(); rangeStatisticsTotal.medianRange = mmi.median; return rangeStatisticsTotal; } public static class RangeStatistics { public int maxRange; public int medianRange; } }





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