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/*
* 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.masks;
import org.ejml.data.DMatrixSparseCSC;
import org.ejml.sparse.csc.RandomMatrices_DSCC;
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.assertEquals;
public class TestDMasksSparseStructural {
private static Stream<Arguments> maskAndExpectedMaxEntries() {
DMatrixSparseCSC maskMatrix = RandomMatrices_DSCC.rectangle(10, 10, 20, new Random(42));
var maskBuilder = new DMaskSparseStructural.Builder(maskMatrix);
return Stream.of(
Arguments.of(maskBuilder.withNegated(true).build(), 80),
Arguments.of(maskBuilder.withNegated(false).build(), 20)
);
}
@Test
void masks() {
int dim = 10;
DMatrixSparseCSC matrix = RandomMatrices_DSCC.rectangle(dim, dim, 50, new Random(42));
DMaskSparseStructural.Builder builder = new DMaskSparseStructural.Builder(matrix);
Mask mask = builder.withNegated(false).build();
Mask negated_mask = builder.withNegated(true).build();
for (int row = 0; row < dim; row++) {
for (int col = 0; col < dim; col++) {
boolean expected = matrix.isAssigned(row, col);
assertEquals(mask.isSet(row, col), expected);
assertEquals(negated_mask.isSet(row, col), !expected);
}
}
}
@Test
void indexedMask() {
int dim = 10;
DMatrixSparseCSC matrix = RandomMatrices_DSCC.rectangle(dim, dim, 50, new Random(42));
DMaskSparseStructural.Builder builder = new DMaskSparseStructural.Builder(matrix);
Mask mask = builder.withNegated(false).build();
Mask negated_mask = builder.withNegated(true).build();
for (int col = 0; col < dim; col++) {
mask.setIndexColumn(col);
for (int row = 0; row < dim; row++) {
boolean expected = matrix.isAssigned(row, col);
assertEquals(mask.isSet(row, col), expected);
assertEquals(negated_mask.isSet(row, col), !expected);
}
}
}
@ParameterizedTest
@MethodSource("maskAndExpectedMaxEntries")
void maxEntries( Mask mask, int expected ) {
assertEquals(expected, mask.maxMaskedEntries());
}
}
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