File: TestVectorOps_DDRB.java

package info (click to toggle)
libejml-java 0.41%2Bds-2
  • links: PTS, VCS
  • area: main
  • in suites: bookworm, trixie
  • size: 7,376 kB
  • sloc: java: 82,734; python: 81; makefile: 22
file content (211 lines) | stat: -rw-r--r-- 7,326 bytes parent folder | download | duplicates (2)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
/*
 * Copyright (c) 2009-2020, Peter Abeles. All Rights Reserved.
 *
 * This file is part of Efficient Java Matrix Library (EJML).
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.ejml.dense.block;

import org.ejml.UtilEjml;
import org.ejml.data.DMatrixRBlock;
import org.ejml.data.DSubmatrixD1;
import org.ejml.simple.SimpleMatrix;
import org.junit.jupiter.api.Test;

import java.util.Random;

import static org.junit.jupiter.api.Assertions.assertEquals;


/**
 * @author Peter Abeles
 */
public class TestVectorOps_DDRB {

    Random rand = new Random(234);
    int r = 3;

    @Test
    public void scale_row() {
        int rowA=0;
        int rowB=1;

        double alpha = 1.5;

        for( int width = 1; width <= 3*r; width++ ) {
//            System.out.println("width "+width);
            int end = width;
            int offset = width > 1 ? 1 : 0;

            SimpleMatrix A = SimpleMatrix.random_DDRM(r,width, -1.0 , 1.0 ,rand);
            DMatrixRBlock Ab = MatrixOps_DDRB.convert(A.getDDRM(),r);
            DMatrixRBlock Bb = Ab.copy();

            SimpleMatrix b = A.extractVector(true,rowA).scale(alpha);

            VectorOps_DDRB.scale_row(r,new DSubmatrixD1(Ab),rowA, alpha, new DSubmatrixD1(Bb),rowB,offset,end);

            checkVector_row(rowB, end, offset, A, Bb, b);
        }
    }

    @Test
    public void div_row() {
        int rowA=0;
        int rowB=1;

        double alpha = 1.5;

        for( int width = 1; width <= 3*r; width++ ) {
//            System.out.println("width "+width);
            int end = width;
            int offset = width > 1 ? 1 : 0;

            SimpleMatrix A = SimpleMatrix.random_DDRM(r,width, -1.0 , 1.0 ,rand);
            DMatrixRBlock Ab = MatrixOps_DDRB.convert(A.getDDRM(),r);
            DMatrixRBlock Bb = Ab.copy();

            SimpleMatrix b = A.extractVector(true,rowA).divide(alpha);

            VectorOps_DDRB.div_row(r,new DSubmatrixD1(Ab),rowA, alpha, new DSubmatrixD1(Bb),rowB,offset,end);

            checkVector_row(rowB, end, offset, A, Bb, b);
        }
    }

    @Test
    public void add_row() {
        int rowA=0;
        int rowB=1;
        int rowC=2;

        double alpha = 1.5;
        double beta = -0.7;

        for( int width = 1; width <= 3*r; width++ ) {
//            System.out.println("width "+width);
            int end = width;
            int offset = width > 1 ? 1 : 0;

            SimpleMatrix A = SimpleMatrix.random_DDRM(r,width, -1.0, 1.0,rand);
            SimpleMatrix B = SimpleMatrix.random_DDRM(r,width, -1.0, 1.0,rand);
            DMatrixRBlock Ab = MatrixOps_DDRB.convert(A.getDDRM(),r);
            DMatrixRBlock Bb = MatrixOps_DDRB.convert(B.getDDRM(),r);
            DMatrixRBlock Cb = Ab.copy();

            SimpleMatrix a = A.extractVector(true,rowA).scale(alpha);
            SimpleMatrix b = B.extractVector(true,rowB).scale(beta);
            SimpleMatrix c = a.plus(b);

            VectorOps_DDRB.add_row(r,
                    new DSubmatrixD1(Ab),rowA, alpha,
                    new DSubmatrixD1(Bb),rowB, beta ,
                    new DSubmatrixD1(Cb),rowC, offset,end);

            checkVector_row(rowC, end, offset, A, Cb, c);
        }
    }

    @Test
    public void dot_row() {
        int rowA=0;
        int rowB=1;


        for( int width = 1; width <= 3*r; width++ ) {
//            System.out.println("width "+width);
            int end = width;
            int offset = width > 1 ? 1 : 0;

            SimpleMatrix A = SimpleMatrix.random_DDRM(r,width, -1.0, 1.0, rand);
            SimpleMatrix a = A.extractMatrix(rowA,rowA+1,offset,SimpleMatrix.END);
            SimpleMatrix B = SimpleMatrix.random_DDRM(r,width, -1.0, 1.0, rand);
            SimpleMatrix b = B.extractMatrix(rowB,rowB+1,offset,SimpleMatrix.END);

            DMatrixRBlock Ab = MatrixOps_DDRB.convert(A.getDDRM(),r);
            DMatrixRBlock Bb = MatrixOps_DDRB.convert(B.getDDRM(),r);

            double expected = (double)a.dot(b);

            double found = VectorOps_DDRB.dot_row(r,new DSubmatrixD1(Ab),rowA, new DSubmatrixD1(Bb),rowB,offset,end);

            assertEquals(expected,found, UtilEjml.TEST_F64);
        }
    }

    @Test
    public void dot_row_col() {
        int rowA=0;
        int colB=1;


        for( int width = 1; width <= 3*r; width++ ) {
//            System.out.println("width "+width);
            int end = width;
            int offset = width > 1 ? 1 : 0;
            if( colB >= width) colB = 0;

            SimpleMatrix A = SimpleMatrix.random_DDRM(width,width, -1.0, 1.0, rand);
            SimpleMatrix a = A.extractMatrix(rowA,rowA+1,offset,SimpleMatrix.END);
            SimpleMatrix B = SimpleMatrix.random_DDRM(width,width, -1.0, 1.0, rand);
            SimpleMatrix b = B.extractMatrix(offset,SimpleMatrix.END,colB,colB+1);

            DMatrixRBlock Ab = MatrixOps_DDRB.convert(A.getDDRM(),r);
            DMatrixRBlock Bb = MatrixOps_DDRB.convert(B.getDDRM(),r);

            double expected = (double)a.dot(b);

            double found = VectorOps_DDRB.dot_row_col(r,
                    new DSubmatrixD1(Ab),rowA,
                    new DSubmatrixD1(Bb),colB,
                    offset,end);

            assertEquals(expected,found,UtilEjml.TEST_F64);
        }
    }

    /**
     * Checks to see if only the anticipated parts of the matrix have been modified and that
     * they are the anticipated values.
     *
     * @param row The row modified in modMatrix.
     * @param end end of the vector.
     * @param offset start of the vector.
     * @param untouched Original values of the modMatrix.
     * @param modMatrix The matrix which have been modified by the function being tested.
     * @param modVector Vector that contains the anticipated values.
     */
    public static void checkVector_row(int row, int end, int offset,
                                       SimpleMatrix untouched,
                                       DMatrixRBlock modMatrix, SimpleMatrix modVector) {
        for( int i = 0; i < modMatrix.numRows; i++ ) {
            if( i == row ) {
                for( int j = 0; j < offset; j++ ) {
                    assertEquals(untouched.get(i,j), modMatrix.get(i,j),UtilEjml.TEST_F64);
                }
                for( int j = offset; j < end; j++ ) {
                    assertEquals(modVector.get(j), modMatrix.get(i,j),UtilEjml.TEST_F64);
                }
                for( int j = end; j < modMatrix.numCols; j++ ) {
                    assertEquals(untouched.get(i,j), modMatrix.get(i,j),UtilEjml.TEST_F64);
                }
            } else {
                for( int j = 0; j < modMatrix.numCols; j++ ) {
                    assertEquals(untouched.get(i,j), modMatrix.get(i,j),UtilEjml.TEST_F64,i+" "+j);
                }
            }
        }
    }
}