Coverage Report - net.sourceforge.combean.mathprog.linalg.statics.SparseVectorConverter
 
Classes in this File Line Coverage Branch Coverage Complexity
SparseVectorConverter
96%
23/24
58%
7/12
0
 
 1  
 /*
 2  
     This file is part of Combean.
 3  
 
 4  
     Combean is free software; you can redistribute it and/or modify
 5  
     it under the terms of the GNU General Public License as published by
 6  
     the Free Software Foundation; either version 2 of the License, or
 7  
     (at your option) any later version.
 8  
 
 9  
     Combean is distributed in the hope that it will be useful,
 10  
     but WITHOUT ANY WARRANTY; without even the implied warranty of
 11  
     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 12  
     GNU General Public License for more details.
 13  
 
 14  
     You should have received a copy of the GNU General Public License
 15  
     along with Combean; if not, write to the Free Software
 16  
     Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA  02110-1301  USA
 17  
 */
 18  
 /*
 19  
  * Created on 22.04.2005
 20  
  *
 21  
  */
 22  
 package net.sourceforge.combean.mathprog.linalg.statics;
 23  
 
 24  
 import net.sourceforge.combean.interfaces.mathprog.linalg.SparseVec;
 25  
 import net.sourceforge.combean.interfaces.mathprog.linalg.SparseVector;
 26  
 import net.sourceforge.combean.interfaces.mathprog.linalg.VectorIterator;
 27  
 import net.sourceforge.combean.interfaces.mathprog.linalg.VectorValue;
 28  
 import net.sourceforge.combean.interfaces.mathprog.lp.model.NoLabel;
 29  
 
 30  
 /**
 31  
  * Collection of static helper functions to convert SparseVectors to
 32  
  * plain Java arrays.
 33  
  * 
 34  
  * @author schickin
 35  
  *
 36  
  */
 37  5
 public final class SparseVectorConverter {
 38  
     
 39  
     /**
 40  
      * Convert a sparse vector given by an iterator over its components
 41  
      * to a plain double array
 42  
      * 
 43  
      * @param dim the dimension of the dense output double array
 44  
      * @param itVec the iterator over the entries in the sparse vector
 45  
      * @return the entries represented by itVec as double array
 46  
      */
 47  
     public static double[] convertToDoubleArray(int dim,
 48  
             VectorIterator<NoLabel> itVec) {
 49  134
         double[] result = new double[dim];
 50  
         
 51  1039
         for (int i = 0; i < dim; i++) {
 52  905
             result[i] = 0;
 53  
         }
 54  
 
 55  1012
         while (itVec.hasNext()) {
 56  878
             VectorValue<NoLabel> currValue = itVec.next();
 57  878
             result[currValue.index()] = currValue.doubleValue();
 58  878
         }
 59  
         
 60  134
         return result;
 61  
     }
 62  
 
 63  
     /**
 64  
      * Convert SparseVec to plain double array
 65  
      * 
 66  
      * @param dim desired dimension of the output array. must be big
 67  
      * enough such that all entries in vec fit into the output
 68  
      * @param vec the vector to be converted
 69  
      * @return vec as double array
 70  
      */
 71  
     public static double[] convertToDoubleArray(int dim,
 72  
             SparseVec<NoLabel> vec) {
 73  134
         return convertToDoubleArray(dim, vec.iterator());
 74  
     }
 75  
     
 76  
     /**
 77  
      * Convert SparseVec to plain double array, giving the double array the exact dimension of the
 78  
      * sparse vector.
 79  
      * 
 80  
      * @param vec the vector to be converted
 81  
      * @return vec as double array
 82  
      */
 83  
     public static double[] convertToDoubleArray(
 84  
             SparseVector vec) {
 85  12
         return convertToDoubleArray(vec.getDimension(), vec);
 86  
     }
 87  
     
 88  
 
 89  
     /**
 90  
      * Convert an SparseVec to two plain Java arrays, one containing the
 91  
      * indices of non-zero entries and a double array containing their
 92  
      * values.
 93  
      * 
 94  
      * @param vec the vector to be converted
 95  
      * @param indexArr the index array to be filled. must be large enough
 96  
      * to accomodate all entries of vec.
 97  
      * @param valueArr the value array to be filled. must be large enough
 98  
      * to accomodate all entries of vec.
 99  
      */
 100  
     public static <T> void convertToIndexAndDoubleArray(SparseVec<T> vec,
 101  
             int[] indexArr, double[] valueArr) {
 102  725
         int currIdx = 0;
 103  725
         T label = null;
 104  725
         VectorIterator<T> itVec = vec.iterator();
 105  2771
         while (itVec.hasNext()) {
 106  2051
             VectorValue<T> currValue = itVec.next();
 107  2046
             if (label == null) {
 108  2046
                 label = currValue.label();
 109  
             }
 110  
             else {
 111  0
                 assert label == currValue.label();
 112  
             }
 113  2046
             indexArr[currIdx] = currValue.index();
 114  2046
             valueArr[currIdx] = currValue.doubleValue();
 115  2046
             currIdx++;
 116  2046
         }
 117  720
     }
 118  
 
 119  
 }