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* Licensed to the Apache Software Foundation (ASF) under one
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* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you 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
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* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
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package org.apache.sysds.test.component.compress;
import static org.junit.Assert.assertTrue;
import java.util.ArrayList;
import java.util.Collection;
import java.util.EnumSet;
import org.apache.sysds.runtime.compress.CompressedMatrixBlock;
import org.apache.sysds.runtime.compress.CompressionSettingsBuilder;
import org.apache.sysds.runtime.compress.colgroup.AColGroup.CompressionType;
import org.apache.sysds.runtime.functionobjects.CM;
import org.apache.sysds.runtime.matrix.data.MatrixBlock;
import org.apache.sysds.runtime.matrix.operators.CMOperator;
import org.apache.sysds.runtime.matrix.operators.CMOperator.AggregateOperationTypes;
import org.apache.sysds.test.TestUtils;
import org.apache.sysds.test.component.compress.TestConstants.MatrixTypology;
import org.apache.sysds.test.component.compress.TestConstants.OverLapping;
import org.apache.sysds.test.component.compress.TestConstants.SparsityType;
import org.apache.sysds.test.component.compress.TestConstants.ValueRange;
import org.apache.sysds.test.component.compress.TestConstants.ValueType;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.junit.runners.Parameterized;
import org.junit.runners.Parameterized.Parameters;
@RunWith(value = Parameterized.class)
public class CompressedVectorTest extends CompressedTestBase {
protected static MatrixTypology[] usedMatrixTypologyLocal = new MatrixTypology[] {MatrixTypology.SINGLE_COL};
protected static CompressionSettingsBuilder[] usedCompressionSettings = new CompressionSettingsBuilder[] {
csb().setTransposeInput("true"), // Default
csb().setValidCompressions(EnumSet.of(CompressionType.DDC)),
csb().setValidCompressions(EnumSet.of(CompressionType.SDC)),
csb().setValidCompressions(EnumSet.of(CompressionType.UNCOMPRESSED)),};
protected static OverLapping[] overLapping = new OverLapping[] { //
OverLapping.PLUS_LARGE, //
OverLapping.PLUS_ROW_VECTOR //
};
@Parameters
public static Collection<Object[]> data() {
ArrayList<Object[]> tests = new ArrayList<>();
for(SparsityType st : usedSparsityTypes)
for(ValueType vt : usedValueTypes)
for(ValueRange vr : usedValueRanges)
for(CompressionSettingsBuilder cs : usedCompressionSettings)
for(MatrixTypology mt : usedMatrixTypologyLocal)
for(OverLapping ov : overLapping)
tests.add(new Object[] {st, vt, vr, cs, mt, ov, null});
return tests;
}
public CompressedVectorTest(SparsityType sparType, ValueType valType, ValueRange valRange,
CompressionSettingsBuilder compSettings, MatrixTypology matrixTypology, OverLapping ov,
Collection<CompressionType> ct) {
super(sparType, valType, valRange, compSettings, matrixTypology, ov, 1, ct, null);
}
@Test
public void testCentralMoment() throws Exception {
try {
if(!(cmb instanceof CompressedMatrixBlock) || cols != 1)
return; // Input was not compressed then just pass test
AggregateOperationTypes opType = CMOperator.getCMAggOpType(2);
CMOperator cm = new CMOperator(CM.getCMFnObject(opType), opType);
double ret1 = mb.cmOperations(cm).getRequiredResult(opType);
double ret2 = cmb.cmOperations(cm).getRequiredResult(opType);
if(_cs.lossy) {
double tol = lossyTolerance * 10;
assertTrue(
bufferedToString + ": values uncomprssed: " + ret1 + "vs compressed: " + ret2 + " tolerance " + tol,
TestUtils.compareCellValue(ret1, ret2, tol, false));
}
else {
assertTrue(bufferedToString + "\n expected: " + ret1 + " was:" + ret2,
TestUtils.getPercentDistance(ret1, ret2, true) > 0.99);
}
}
catch(Exception e) {
e.printStackTrace();
throw new Exception(bufferedToString + "\n" + e.getMessage(), e);
}
}
@Test
public void testQuartile() {
try {
if(!(cmb instanceof CompressedMatrixBlock) || cols != 1)
return; // Input was not compressed then just pass test
double ret1 = mb.sortOperations().pickValue(0.95);
double ret2 = cmb.sortOperations().pickValue(0.95);
if(_cs.lossy)
TestUtils.compareCellValue(ret1, ret2, lossyTolerance, false);
else
assertTrue(bufferedToString, TestUtils.compareScalarBits(ret1, ret2, 0));
}
catch(Exception e) {
e.printStackTrace();
throw new RuntimeException(bufferedToString + "\n" + e.getMessage(), e);
}
}
@Test
public void testSortOperations() {
try {
if(!(cmb instanceof CompressedMatrixBlock) || cols != 1)
return; // Input was not compressed then just pass test
MatrixBlock ret1 = mb.sortOperations();
MatrixBlock ret2 = cmb.sortOperations();
compareResultMatrices(ret1, ret2, 1);
}
catch(Exception e) {
e.printStackTrace();
throw new RuntimeException(bufferedToString + "\n" + e.getMessage(), e);
}
}
@Test
public void testReExpandRow() {
// does not make much sense since it would entail the compression was on a matrix with one row.
// but here is a test.
testReExpand(false);
}
@Test
public void testReExpandCol() {
testReExpand(true);
}
public void testReExpand(boolean col) {
try {
if(cmb instanceof CompressedMatrixBlock) {
MatrixBlock ret1 = cmb.rexpandOperations(new MatrixBlock(), 50, !col, true, true, _k);
MatrixBlock ret2 = mb.rexpandOperations(new MatrixBlock(), 50, !col, true, true, _k);
compareResultMatrices(ret2, ret1, 0);
}
}
catch(Exception e) {
e.printStackTrace();
throw e;
}
}
}