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/*
* 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.mult;
import org.ejml.EjmlUnitTests;
import org.ejml.data.DMatrixSparseCSC;
import org.ejml.masks.DMaskFactory;
import org.ejml.ops.DSemiRing;
import org.ejml.ops.DSemiRings;
import org.ejml.sparse.csc.CommonOpsWithSemiRing_DSCC;
import org.ejml.sparse.csc.CommonOps_DSCC;
import org.ejml.sparse.csc.RandomMatrices_DSCC;
import org.junit.jupiter.api.BeforeEach;
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.ejml.TestDMaskUtil.assertMaskedResult;
import static org.junit.jupiter.api.Assertions.assertEquals;
@SuppressWarnings({"UnusedMethod"})
public class TestMatrixMatrixMultWithSemiRing_DSCC {
DMatrixSparseCSC inputMatrix;
@BeforeEach
public void setUp() {
// based on example in http://mit.bme.hu/~szarnyas/grb/graphblas-introduction.pdf
inputMatrix = new DMatrixSparseCSC(7, 7, 12);
inputMatrix.set(0, 1, 1);
inputMatrix.set(0, 3, 1);
inputMatrix.set(1, 4, 1);
inputMatrix.set(1, 6, 1);
inputMatrix.set(2, 5, 1);
inputMatrix.set(3, 0, 0.2);
inputMatrix.set(3, 2, 0.4);
inputMatrix.set(4, 5, 1);
inputMatrix.set(5, 2, 0.5);
inputMatrix.set(6, 2, 1);
inputMatrix.set(6, 3, 1);
inputMatrix.set(6, 4, 1);
}
@ParameterizedTest(name = "{0}")
@MethodSource("sparseVectorMatrixMultSources")
void mult_v_A( String desc, DSemiRing semiRing, double[] expected ) {
// graphblas == following outgoing edges of source nodes
DMatrixSparseCSC vector = new DMatrixSparseCSC(1, 7);
vector.set(0, 3, 0.5);
vector.set(0, 5, 0.6);
DMatrixSparseCSC found = CommonOpsWithSemiRing_DSCC.mult(vector, inputMatrix, null, semiRing);
assertEquals(expected[0], found.get(0, 0));
assertEquals(expected[1], found.get(0, 2));
}
@ParameterizedTest(name = "{0}")
@MethodSource("sparseMatrixSources")
void elementMult( String desc, DMatrixSparseCSC matrix, DMatrixSparseCSC otherMatrix ) {
DSemiRing semiRing = DSemiRings.PLUS_TIMES;
DMatrixSparseCSC found = CommonOpsWithSemiRing_DSCC.elementMult(matrix, otherMatrix, null, semiRing, null, null, null);
DMatrixSparseCSC expected = CommonOps_DSCC.elementMult(matrix, otherMatrix, null, null, null);
EjmlUnitTests.assertEquals(expected, found);
}
@ParameterizedTest(name = "{0}")
@MethodSource("sparseMatrixSources")
void add( String desc, DMatrixSparseCSC matrix, DMatrixSparseCSC otherMatrix ) {
DSemiRing semiRing = DSemiRings.PLUS_TIMES;
DMatrixSparseCSC found = CommonOpsWithSemiRing_DSCC.add(1, matrix, 1, otherMatrix, null, semiRing, null, null, null);
DMatrixSparseCSC expected = CommonOps_DSCC.add(1, matrix, 1, otherMatrix, null, null, null);
EjmlUnitTests.assertEquals(expected, found);
}
@Test
public void maskedMult() {
var random = new Random(1337);
var a = RandomMatrices_DSCC.rectangle(10, 10, 30, random);
var b = RandomMatrices_DSCC.rectangle(10, 10, 30, random);
var mask = DMaskFactory.builder(RandomMatrices_DSCC.rectangle(10, 10, 30, random), true).build();
var unmasked = new DMatrixSparseCSC(10, 10, 0);
var masked = new DMatrixSparseCSC(10, 10, 0);
CommonOpsWithSemiRing_DSCC.mult(a, b, unmasked, DSemiRings.PLUS_TIMES, null, null, null);
CommonOpsWithSemiRing_DSCC.mult(a, b, masked, DSemiRings.PLUS_TIMES, mask, null, null);
assertMaskedResult(unmasked, masked, mask);
}
private static Stream<Arguments> sparseVectorMatrixMultSources() {
return Stream.of(
// expected entries for (0, 0) and (0, 2)
Arguments.of("PLUS, TIMES", DSemiRings.PLUS_TIMES, new double[]{0.1, 0.5}),
Arguments.of("OR, AND", DSemiRings.OR_AND, new double[]{1, 1}),
Arguments.of("MIN, PLUS", DSemiRings.MIN_PLUS, new double[]{0.7, 0.9}),
Arguments.of("MAX, PLUS", DSemiRings.MAX_PLUS, new double[]{0.7, 1.1}),
Arguments.of("MIN, TIMES", DSemiRings.MIN_TIMES, new double[]{0.1, 0.2}),
Arguments.of("MAX, MIN", DSemiRings.MAX_MIN, new double[]{0.2, 0.5})
);
}
private static Stream<Arguments> sparseMatrixSources() {
Random rand = new Random(42);
Random otherRandom = new Random(1337);
DMatrixSparseCSC sparseMatrix = RandomMatrices_DSCC.rectangle(10, 10, 15, rand);
DMatrixSparseCSC denseMatrix = RandomMatrices_DSCC.rectangle(10, 10, 90, rand);
return Stream.of(
Arguments.of("Both really sparse", sparseMatrix, RandomMatrices_DSCC.rectangle(10, 10, 15, otherRandom)),
Arguments.of("Sparse, denseCSC", sparseMatrix, denseMatrix),
Arguments.of("dense, sparse", denseMatrix, sparseMatrix),
Arguments.of("Both denseCSC", denseMatrix, RandomMatrices_DSCC.rectangle(10, 10, 90, otherRandom))
);
}
}
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