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
|
/*
* Copyright (c) 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.sparse.csc;
import org.ejml.UtilEjml;
import org.ejml.data.DMatrixSparseCSC;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.params.ParameterizedTest;
import org.junit.jupiter.params.provider.Arguments;
import org.junit.jupiter.params.provider.MethodSource;
import java.util.Random;
import java.util.stream.Stream;
import static org.junit.jupiter.api.Assertions.*;
/**
* @author Peter Abeles
*/
@SuppressWarnings("UnusedMethod")
public class TestRandomMatrices_DSCC {
Random rand = new Random(324);
@Test
void uniform() {
int numRows = 6;
int numCols = 7;
DMatrixSparseCSC a = RandomMatrices_DSCC.rectangle(numRows, numCols, 10, -1, 1, rand);
assertEquals(numRows, a.numRows);
assertEquals(numCols, a.numCols);
assertEquals(10, a.nz_length);
assertTrue(CommonOps_DSCC.checkStructure(a));
int count = 0;
for (int row = 0; row < numRows; row++) {
for (int col = 0; col < numCols; col++) {
double value = a.get(row, col);
if (value == 0)
continue;
if (value > 1 || value < -1)
fail("Out of expected range");
count++;
}
}
assertEquals(10, count);
assertTrue(CommonOps_DSCC.checkSortedFlag(a));
}
/**
* There was a bug where the rows and columns multiplied together caused an overflow
*/
@Test
void rectangle_large() {
assertThrows(IllegalArgumentException.class, () ->
RandomMatrices_DSCC.rectangle(1_000_000, 1_000_000, 10, -1, 1, rand));
}
private static Stream<Arguments> randomMatrixDimensions() {
int[] rowCounts = {1, 10, 15, 100, 1000};
int[] colCounts = {1, 10, 15, 100, 1000};
double[] densities = {1, 0.8, 0.2, 0.01};
Stream.Builder<Arguments> streamBuilder = Stream.builder();
for (int rowCount : rowCounts) {
for (int colCount : colCounts) {
for (double density : densities) {
streamBuilder.accept(Arguments.of(rowCount, colCount, (int)Math.round(density*rowCount)));
}
}
}
return streamBuilder.build();
}
@ParameterizedTest
@MethodSource("randomMatrixDimensions")
void generateUniform( int numRows, int numCols, int entriesPerColumn ) {
DMatrixSparseCSC a = RandomMatrices_DSCC.generateUniform(numRows, numCols, entriesPerColumn, -1, 1, rand);
assertEquals(entriesPerColumn*numCols, a.nz_length);
assertTrue(CommonOps_DSCC.checkStructure(a));
}
@Test
void createLowerTriangular() {
DMatrixSparseCSC L;
for (int trial = 0; trial < 20; trial++) {
for (int length : new int[]{0, 2, 6, 12, 20}) {
L = RandomMatrices_DSCC.triangleLower(6, 0, length, -1, 1, rand);
assertEquals(Math.max(6, length), L.nz_length);
assertTrue(CommonOps_DSCC.checkStructure(L));
assertTrue(MatrixFeatures_DSCC.isLowerTriangle(L, 0, 0.0));
L = RandomMatrices_DSCC.triangleLower(6, 1, length, -1, 1, rand);
assertEquals(Math.max(5, length), L.nz_length);
assertTrue(CommonOps_DSCC.checkStructure(L));
assertTrue(MatrixFeatures_DSCC.isLowerTriangle(L, 1, 0.0));
assertFalse(CommonOps_DSCC.checkDuplicateElements(L));
}
}
}
@Test
void symmetric() {
for (int N = 1; N <= 10; N++) {
for (int mc = 0; mc < 30; mc++) {
int nz = (int)(N*N*0.5*(rand.nextDouble()*0.5 + 0.1) + 0.5);
nz = Math.max(1, nz);
DMatrixSparseCSC A = RandomMatrices_DSCC.symmetric(N, nz, -1, 1, rand);
assertTrue(CommonOps_DSCC.checkStructure(A));
// Sanity check to see if it's obeying the requested number of non-zero elements
assertTrue(A.nz_length >= nz && A.nz_length <= 2*nz);
// Check the matrix properties
assertTrue(MatrixFeatures_DSCC.isSymmetric(A, UtilEjml.TEST_F64));
}
}
}
/**
* There was a bug where the rows and columns multiplied together caused an overflow
*/
@Test
void symmetric_large() {
assertThrows(IllegalArgumentException.class, () ->
RandomMatrices_DSCC.symmetric(1_000_000, 10, -1, 1, rand));
}
@Test
void symmetricPosDef() {
double probabilityZero = 0.25;
for (int N = 1; N <= 10; N++) {
for (int mc = 0; mc < 30; mc++) {
DMatrixSparseCSC A = RandomMatrices_DSCC.symmetricPosDef(N, probabilityZero, rand);
assertTrue(CommonOps_DSCC.checkStructure(A));
// The upper limit is bit fuzzy. This really just checks to see if it's exceeded by an extreme amount
assertTrue(A.nz_length <= (int)Math.ceil(N*N*(1.0 - probabilityZero)) + N);
// Extremely crude check to see if the size is above a lower limit. In theory it could be full of
// zeros and that would still be valid.
assertTrue(A.nz_length >= N*N*(probabilityZero/5.0));
assertTrue(MatrixFeatures_DSCC.isPositiveDefinite(A));
}
}
}
}
|