ichbinstudent commented on code in PR #2186:
URL: https://github.com/apache/systemds/pull/2186#discussion_r1929771516


##########
src/test/java/org/apache/sysds/test/component/matrix/LibMatrixDatagenTest.java:
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@@ -0,0 +1,94 @@
+package org.apache.sysds.test.component.matrix;
+
+import org.apache.commons.logging.Log;
+import org.apache.commons.logging.LogFactory;
+import org.apache.commons.math3.random.Well1024a;
+import org.apache.sysds.runtime.matrix.data.LibMatrixDatagen;
+import org.apache.sysds.runtime.matrix.data.MatrixBlock;
+import org.apache.sysds.runtime.matrix.data.RandomMatrixGenerator;
+import org.junit.Ignore;
+import org.junit.Test;
+
+import java.util.Arrays;
+
+import static org.junit.Assert.*;
+
+public class LibMatrixDatagenTest {
+       protected static final Log LOG = 
LogFactory.getLog(LibMatrixDatagenTest.class.getName());
+
+       @Test
+       public void testGenerateUniformMatrixPhilox() {
+               MatrixBlock mb = new MatrixBlock();
+               RandomMatrixGenerator rgen = new 
RandomMatrixGenerator(RandomMatrixGenerator.PDF.CB_UNIFORM, 10, 10, 10, 1, 0., 
1.);
+               LibMatrixDatagen.generateRandomMatrix(mb, rgen, null, 0L);
+               for(int i = 0; i < 10; i++) {
+                       for(int j = 0; j < 10; j++) {
+                               assertTrue("Value: " + mb.get(i, j) + "needs to 
be less than 1", mb.get(i, j) < 1);
+                               assertTrue("Value: " + mb.get(i, j) + "needs to 
be greater than 0", mb.get(i, j) > 0);
+                       }
+               }
+       }
+
+       @Test
+       public void testGenerateNormalMatrixPhilox() {
+               MatrixBlock mb = new MatrixBlock();
+               RandomMatrixGenerator rgen = new 
RandomMatrixGenerator(RandomMatrixGenerator.PDF.CB_NORMAL, 1000, 1000, 1000 * 
1000, 1);
+               LibMatrixDatagen.generateRandomMatrix(mb, rgen, null, 
123123123123L);
+               double mean = mb.mean();
+               double[] bv = mb.getDenseBlockValues();
+               double variance = Arrays.stream(bv).map(x -> Math.pow(x - mean, 
2)).sum() / bv.length;
+               assertEquals("Mean should be 0", 0, mean, 0.01);
+               assertEquals("Variance should be 1", 1, variance, 0.001);
+       }
+
+       @Test
+       @Ignore

Review Comment:
   They were just for testing the performance. Shouldn't have been included in 
the PR.



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