src/test/java/org/apache/sysds/test/applications/UnivariateCategoricalTest.java

/*
 * 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.applications;

import java.util.HashMap;

import org.junit.Test;
import org.apache.sysds.runtime.matrix.data.MatrixValue.CellIndex;
import org.apache.sysds.test.TestConfiguration;
import org.apache.sysds.test.TestUtils;


/** Tests of univariate statistics functions over categorical data. */
public class UnivariateCategoricalTest extends UnivariateStatsBase
{
	
	public UnivariateCategoricalTest() {
		super();
		TEST_CLASS_DIR = TEST_DIR + UnivariateCategoricalTest.class.getSimpleName() + "/";
	}

	@Test
	public void testCategoricalWithR() {
	
        TestConfiguration config = getTestConfiguration("Categorical");
        config.addVariable("rows1", rows1);
		loadTestConfiguration(config);
        
		/* This is for running the junit test the new way, i.e., construct the arguments directly */
		String C_HOME = SCRIPT_DIR + TEST_DIR;	
		fullDMLScriptName = C_HOME + "Categorical" + ".dml";
		programArgs = new String[]{"-args",  input("vector"), Integer.toString(rows1),
			output("Nc"), output("R"), output("Pc"), output("C"), output("Mode") };
		
		fullRScriptName = C_HOME + "Categorical" + ".R";
		rCmd = "Rscript" + " " + fullRScriptName + " " + inputDir() + " " + expectedDir();

        double[][] vector = getRandomMatrix(rows1, 1, 1, 10, 1, System.currentTimeMillis());
        OrderStatisticsTest.round(vector);
        
        writeInputMatrix("vector", vector, true);

		/*
		 * Expected number of jobs:
		 * Reblock - 1 job 
		 * While loop iteration - 10 jobs
		 * Final output write - 1 job
		 */
        boolean exceptionExpected = false;
		int expectedNumberOfJobs = 12;
		runTest(true, exceptionExpected, null, expectedNumberOfJobs);
		
		runRScript(true);
		//disableOutAndExpectedDeletion();
	
		for(String file: config.getOutputFiles())
		{
			/* NOte that some files do not contain matrix, but just a single scalar value inside */
			HashMap<CellIndex, Double> dmlfile;
			HashMap<CellIndex, Double> rfile;
			if (file.endsWith(".scalar")) {
				file = file.replace(".scalar", "");
				dmlfile = readDMLScalarFromHDFS(file);
				rfile = readRScalarFromFS(file);
			}
			else {
				dmlfile = readDMLMatrixFromHDFS(file);
				rfile = readRMatrixFromFS(file);
			}
			TestUtils.compareMatrices(dmlfile, rfile, epsilon, file+"-DML", file+"-R");
		}
	}
	
	@Test
	public void testWeightedCategoricalWithR() {
	
        TestConfiguration config = getTestConfiguration("WeightedCategoricalTest");
        config.addVariable("rows1", rows1);
		loadTestConfiguration(config);

		// This is for running the junit test the new way, i.e., construct the arguments directly
		String C_HOME = SCRIPT_DIR + TEST_DIR;	
		fullDMLScriptName = C_HOME + "WeightedCategoricalTest" + ".dml";
		programArgs = new String[]{"-args",  
			input("vector"), Integer.toString(rows1), input("weight"),
			output("Nc"), output("R"), output("Pc"), output("C"), output("Mode") };
		
		fullRScriptName = C_HOME + "WeightedCategoricalTest" + ".R";
		rCmd = "Rscript" + " " + fullRScriptName + " " + inputDir() + " " + expectedDir();

		createHelperMatrix();
        double[][] vector = getRandomMatrix(rows1, 1, 1, 10, 1, System.currentTimeMillis());
        OrderStatisticsTest.round(vector);
        double[][] weight = getRandomMatrix(rows1, 1, 1, 10, 1, System.currentTimeMillis());
        OrderStatisticsTest.round(weight);

        writeInputMatrix("vector", vector, true);
        writeInputMatrix("weight", weight, true);
  
        boolean exceptionExpected = false;
		runTest(true, exceptionExpected, null, -1);
		runRScript(true);
		//disableOutAndExpectedDeletion();
	
		for(String file: config.getOutputFiles())
		{
			// NOte that some files do not contain matrix, but just a single scalar value inside
			HashMap<CellIndex, Double> dmlfile;
			HashMap<CellIndex, Double> rfile;
			if (file.endsWith(".scalar")) {
				file = file.replace(".scalar", "");
				dmlfile = readDMLScalarFromHDFS(file);
				rfile = readRScalarFromFS(file);
			}
			else {
				dmlfile = readDMLMatrixFromHDFS(file);
				rfile = readRMatrixFromFS(file);
			}
			TestUtils.compareMatrices(dmlfile, rfile, epsilon, file+"-DML", file+"-R");
		}
	}
}