| /* |
| * Licensed to the Apache Software Foundation (ASF) under one |
| * or more contributor license agreements. See the NOTICE file |
| * 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 |
| * "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.apache.sysds.test.functions.binary.matrix; |
| |
| import org.junit.Test; |
| import org.apache.sysds.runtime.functionobjects.Modulus; |
| import org.apache.sysds.test.AutomatedTestBase; |
| import org.apache.sysds.test.TestConfiguration; |
| |
| |
| public class ScalarModulusTest extends AutomatedTestBase |
| { |
| |
| private static final String TEST_DIR = "functions/binary/matrix/"; |
| private static final String TEST_CLASS_DIR = TEST_DIR + ScalarModulusTest.class.getSimpleName() + "/"; |
| |
| @Override |
| public void setUp() { |
| // positive tests |
| addTestConfiguration("IntConstTest", new TestConfiguration(TEST_CLASS_DIR, "ScalarModulusTest", |
| new String[] { "vector_left", "vector_right", "matrix_left", "matrix_right" })); |
| addTestConfiguration("IntVarTest", new TestConfiguration(TEST_CLASS_DIR, "ScalarModulusTest", |
| new String[] { "vector_left", "vector_right", "matrix_left", "matrix_right" })); |
| addTestConfiguration("DoubleConstTest", new TestConfiguration(TEST_CLASS_DIR, "ScalarModulusTest", |
| new String[] { "vector_left", "vector_right", "matrix_left", "matrix_right" })); |
| addTestConfiguration("DoubleVarTest", new TestConfiguration(TEST_CLASS_DIR, "ScalarModulusTest", |
| new String[] { "vector_left", "vector_right", "matrix_left", "matrix_right" })); |
| addTestConfiguration("SparseTest", new TestConfiguration(TEST_CLASS_DIR, "ScalarModulusTest", |
| new String[] { "vector_left", "vector_right", "matrix_left", "matrix_right" })); |
| addTestConfiguration("EmptyTest", new TestConfiguration(TEST_CLASS_DIR, "ScalarModulusTest", |
| new String[] { "vector_left", "vector_right", "matrix_left", "matrix_right" })); |
| addTestConfiguration("DivisionByZeroTest", new TestConfiguration(TEST_CLASS_DIR, "ScalarModulusTest", |
| new String[] { "vector_left", "vector_right", "matrix_left", "matrix_right" })); |
| |
| // negative tests |
| } |
| |
| @Test |
| public void testIntConst() { |
| int rows = 10; |
| int cols = 10; |
| int divisor = 20; |
| int dividend = 20; |
| |
| TestConfiguration config = availableTestConfigurations.get("IntConstTest"); |
| config.addVariable("rows", rows); |
| config.addVariable("cols", cols); |
| config.addVariable("vardeclaration", ""); |
| config.addVariable("divisor", divisor); |
| config.addVariable("dividend", dividend); |
| |
| loadTestConfiguration(config); |
| |
| double[][] vector = getNonZeroRandomMatrix(rows, 1, 1, 5, -1); |
| double[][] computedVectorLeft = new double[rows][1]; |
| double[][] computedVectorRight = new double[rows][1]; |
| Modulus fnmod = Modulus.getFnObject(); |
| for(int i = 0; i < rows; i++) { |
| computedVectorLeft[i][0] = fnmod.execute(vector[i][0], divisor); |
| computedVectorRight[i][0] = fnmod.execute(dividend, vector[i][0]); |
| } |
| writeInputMatrix("vector", vector); |
| writeExpectedMatrix("vector_left", computedVectorLeft); |
| writeExpectedMatrix("vector_right", computedVectorRight); |
| |
| double[][] matrix = getNonZeroRandomMatrix(rows, cols, 1, 5, -1); |
| double[][] computedMatrixLeft = new double[rows][cols]; |
| double[][] computedMatrixRight = new double[rows][cols]; |
| for(int i = 0; i < rows; i++) { |
| for(int j = 0; j < cols; j++) { |
| computedMatrixLeft[i][j] = fnmod.execute(matrix[i][j], divisor); |
| computedMatrixRight[i][j] = fnmod.execute(dividend, matrix[i][j]); |
| } |
| } |
| writeInputMatrix("matrix", matrix); |
| writeExpectedMatrix("matrix_left", computedMatrixLeft); |
| writeExpectedMatrix("matrix_right", computedMatrixRight); |
| |
| runTest(); |
| |
| compareResults(); |
| } |
| |
| @Test |
| public void testIntVar() { |
| int rows = 10; |
| int cols = 10; |
| int divisor = 20; |
| int dividend = 20; |
| |
| TestConfiguration config = availableTestConfigurations.get("IntVarTest"); |
| config.addVariable("rows", rows); |
| config.addVariable("cols", cols); |
| config.addVariable("vardeclaration", "divisor = " + divisor + "; dividend = " + dividend + ";"); |
| config.addVariable("divisor", "divisor"); |
| config.addVariable("dividend", "dividend"); |
| |
| loadTestConfiguration(config); |
| |
| double[][] vector = getNonZeroRandomMatrix(rows, 1, 1, 5, -1); |
| double[][] computedVectorLeft = new double[rows][1]; |
| double[][] computedVectorRight = new double[rows][1]; |
| Modulus fnmod = Modulus.getFnObject(); |
| for(int i = 0; i < rows; i++) { |
| computedVectorLeft[i][0] = fnmod.execute(vector[i][0], divisor); |
| computedVectorRight[i][0] = fnmod.execute(dividend, vector[i][0]); |
| } |
| writeInputMatrix("vector", vector); |
| writeExpectedMatrix("vector_left", computedVectorLeft); |
| writeExpectedMatrix("vector_right", computedVectorRight); |
| |
| double[][] matrix = getNonZeroRandomMatrix(rows, cols, 1, 5, -1); |
| double[][] computedMatrixLeft = new double[rows][cols]; |
| double[][] computedMatrixRight = new double[rows][cols]; |
| for(int i = 0; i < rows; i++) { |
| for(int j = 0; j < cols; j++) { |
| computedMatrixLeft[i][j] = fnmod.execute(matrix[i][j], divisor); |
| computedMatrixRight[i][j] = fnmod.execute(dividend, matrix[i][j]); |
| } |
| } |
| writeInputMatrix("matrix", matrix); |
| writeExpectedMatrix("matrix_left", computedMatrixLeft); |
| writeExpectedMatrix("matrix_right", computedMatrixRight); |
| |
| runTest(); |
| |
| compareResults(); |
| } |
| |
| @Test |
| public void testDoubleConst() { |
| int rows = 10; |
| int cols = 10; |
| int divisor = 20; |
| int dividend = 20; |
| |
| TestConfiguration config = availableTestConfigurations.get("DoubleConstTest"); |
| config.addVariable("rows", rows); |
| config.addVariable("cols", cols); |
| config.addVariable("vardeclaration", ""); |
| config.addVariable("divisor", divisor); |
| config.addVariable("dividend", dividend); |
| |
| loadTestConfiguration(config); |
| |
| double[][] vector = getNonZeroRandomMatrix(rows, 1, 1, 5, -1); |
| double[][] computedVectorLeft = new double[rows][1]; |
| double[][] computedVectorRight = new double[rows][1]; |
| Modulus fnmod = Modulus.getFnObject(); |
| for(int i = 0; i < rows; i++) { |
| computedVectorLeft[i][0] = fnmod.execute(vector[i][0], divisor); |
| computedVectorRight[i][0] = fnmod.execute(dividend, vector[i][0]); |
| } |
| writeInputMatrix("vector", vector); |
| writeExpectedMatrix("vector_left", computedVectorLeft); |
| writeExpectedMatrix("vector_right", computedVectorRight); |
| |
| double[][] matrix = getNonZeroRandomMatrix(rows, cols, 1, 5, -1); |
| double[][] computedMatrixLeft = new double[rows][cols]; |
| double[][] computedMatrixRight = new double[rows][cols]; |
| for(int i = 0; i < rows; i++) { |
| for(int j = 0; j < cols; j++) { |
| computedMatrixLeft[i][j] = fnmod.execute(matrix[i][j], divisor); |
| computedMatrixRight[i][j] = fnmod.execute(dividend, matrix[i][j]); |
| } |
| } |
| writeInputMatrix("matrix", matrix); |
| writeExpectedMatrix("matrix_left", computedMatrixLeft); |
| writeExpectedMatrix("matrix_right", computedMatrixRight); |
| |
| runTest(); |
| |
| compareResults(); |
| } |
| |
| @Test |
| public void testDoubleVar() { |
| int rows = 10; |
| int cols = 10; |
| int divisor = 20; |
| int dividend = 20; |
| |
| TestConfiguration config = availableTestConfigurations.get("DoubleVarTest"); |
| config.addVariable("rows", rows); |
| config.addVariable("cols", cols); |
| config.addVariable("vardeclaration", "divisor = " + divisor + "; dividend = " + dividend + ";"); |
| config.addVariable("divisor", "divisor"); |
| config.addVariable("dividend", "dividend"); |
| |
| loadTestConfiguration(config); |
| |
| double[][] vector = getNonZeroRandomMatrix(rows, 1, 1, 5, -1); |
| double[][] computedVectorLeft = new double[rows][1]; |
| double[][] computedVectorRight = new double[rows][1]; |
| Modulus fnmod = Modulus.getFnObject(); |
| for(int i = 0; i < rows; i++) { |
| computedVectorLeft[i][0] = fnmod.execute(vector[i][0], divisor); |
| computedVectorRight[i][0] = fnmod.execute(dividend, vector[i][0]); |
| } |
| writeInputMatrix("vector", vector); |
| writeExpectedMatrix("vector_left", computedVectorLeft); |
| writeExpectedMatrix("vector_right", computedVectorRight); |
| |
| double[][] matrix = getNonZeroRandomMatrix(rows, cols, 1, 5, -1); |
| double[][] computedMatrixLeft = new double[rows][cols]; |
| double[][] computedMatrixRight = new double[rows][cols]; |
| for(int i = 0; i < rows; i++) { |
| for(int j = 0; j < cols; j++) { |
| computedMatrixLeft[i][j] = fnmod.execute(matrix[i][j], divisor); |
| computedMatrixRight[i][j] = fnmod.execute(dividend, matrix[i][j]); |
| } |
| } |
| writeInputMatrix("matrix", matrix); |
| writeExpectedMatrix("matrix_left", computedMatrixLeft); |
| writeExpectedMatrix("matrix_right", computedMatrixRight); |
| |
| runTest(); |
| |
| compareResults(); |
| } |
| |
| @Test |
| public void testSparse() { |
| int rows = 100; |
| int cols = 50; |
| int divisor = 20; |
| int dividend = 20; |
| |
| TestConfiguration config = availableTestConfigurations.get("SparseTest"); |
| config.addVariable("rows", rows); |
| config.addVariable("cols", cols); |
| config.addVariable("vardeclaration", ""); |
| config.addVariable("divisor", divisor); |
| config.addVariable("dividend", dividend); |
| |
| loadTestConfiguration(config); |
| |
| double[][] vector = getRandomMatrix(rows, 1, 1, 5, 0.05, -1); |
| double[][] computedVectorLeft = new double[rows][1]; |
| double[][] computedVectorRight = new double[rows][1]; |
| Modulus fnmod = Modulus.getFnObject(); |
| for(int i = 0; i < rows; i++) { |
| computedVectorLeft[i][0] = fnmod.execute(vector[i][0], divisor); |
| computedVectorRight[i][0] = fnmod.execute(dividend, vector[i][0]); |
| } |
| writeInputMatrix("vector", vector); |
| writeExpectedMatrix("vector_left", computedVectorLeft); |
| writeExpectedMatrix("vector_right", computedVectorRight); |
| |
| double[][] matrix = getRandomMatrix(rows, cols, -1, 1, 0.05, -1); |
| double[][] computedMatrixLeft = new double[rows][cols]; |
| double[][] computedMatrixRight = new double[rows][cols]; |
| for(int i = 0; i < rows; i++) { |
| for(int j = 0; j < cols; j++) { |
| computedMatrixLeft[i][j] = fnmod.execute(matrix[i][j], divisor); |
| computedMatrixRight[i][j] = fnmod.execute(dividend, matrix[i][j]); |
| } |
| } |
| writeInputMatrix("matrix", matrix); |
| writeExpectedMatrix("matrix_left", computedMatrixLeft); |
| writeExpectedMatrix("matrix_right", computedMatrixRight); |
| |
| runTest(); |
| |
| compareResults(); |
| } |
| |
| @Test |
| public void testDivisionByZero() { |
| int rows = 10; |
| int cols = 10; |
| int divisor = 0; |
| int dividend = 0; |
| |
| TestConfiguration config = availableTestConfigurations.get("DivisionByZeroTest"); |
| config.addVariable("rows", rows); |
| config.addVariable("cols", cols); |
| config.addVariable("vardeclaration", ""); |
| config.addVariable("divisor", divisor); |
| config.addVariable("dividend", dividend); |
| |
| loadTestConfiguration(config); |
| |
| double[][] vector = getRandomMatrix(rows, 1, 1, 5, 0.5, -1); |
| double[][] computedVectorLeft = new double[rows][1]; |
| double[][] computedVectorRight = new double[rows][1]; |
| Modulus fnmod = Modulus.getFnObject(); |
| for(int i = 0; i < rows; i++) { |
| computedVectorLeft[i][0] = fnmod.execute(vector[i][0], divisor); |
| computedVectorRight[i][0] = fnmod.execute(dividend, vector[i][0]); |
| } |
| writeInputMatrix("vector", vector); |
| writeExpectedMatrix("vector_left", computedVectorLeft); |
| writeExpectedMatrix("vector_right", computedVectorRight); |
| |
| double[][] matrix = getRandomMatrix(rows, cols, -1, 1, 0.5, -1); |
| double[][] computedMatrixLeft = new double[rows][cols]; |
| double[][] computedMatrixRight = new double[rows][cols]; |
| for(int i = 0; i < rows; i++) { |
| for(int j = 0; j < cols; j++) { |
| computedMatrixLeft[i][j] = fnmod.execute(matrix[i][j], divisor); |
| computedMatrixRight[i][j] = fnmod.execute(dividend, matrix[i][j]); |
| } |
| } |
| writeInputMatrix("matrix", matrix); |
| writeExpectedMatrix("matrix_left", computedMatrixLeft); |
| writeExpectedMatrix("matrix_right", computedMatrixRight); |
| |
| runTest(); |
| |
| compareResults(); |
| } |
| |
| } |