org.apache.sysml.test.integration.functions.jmlc.FrameReadMetaTest.java Source code

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/*
 * 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.sysml.test.integration.functions.jmlc;

import java.io.IOException;
import java.util.Arrays;
import java.util.HashMap;
import java.util.Iterator;
import java.util.List;

import org.junit.Assert;
import org.junit.Test;
import org.apache.commons.lang.ArrayUtils;
import org.apache.sysml.api.jmlc.Connection;
import org.apache.sysml.api.jmlc.PreparedScript;
import org.apache.sysml.api.jmlc.ResultVariables;
import org.apache.sysml.lops.Lop;
import org.apache.sysml.runtime.DMLRuntimeException;
import org.apache.sysml.runtime.io.IOUtilFunctions;
import org.apache.sysml.runtime.matrix.data.FrameBlock;
import org.apache.sysml.runtime.transform.TfUtils;
import org.apache.sysml.runtime.transform.meta.TfMetaUtils;
import org.apache.sysml.runtime.util.DataConverter;
import org.apache.sysml.runtime.util.MapReduceTool;
import org.apache.sysml.test.integration.AutomatedTestBase;
import org.apache.sysml.test.integration.TestConfiguration;

/**
 * 
 * 
 */
public class FrameReadMetaTest extends AutomatedTestBase {
    private final static String TEST_NAME1 = "transform3";
    private final static String TEST_DIR = "functions/jmlc/";

    private final static int rows = 300;
    private final static int cols = 9;

    @Override
    public void setUp() {
        addTestConfiguration(TEST_NAME1, new TestConfiguration(TEST_DIR, TEST_NAME1, new String[] { "F2" }));
    }

    @Test
    public void testJMLCTransformDenseSpec() throws IOException {
        runJMLCReadMetaTest(TEST_NAME1, false, false, true);
    }

    @Test
    public void testJMLCTransformDenseReuseSpec() throws IOException {
        runJMLCReadMetaTest(TEST_NAME1, true, false, true);
    }

    @Test
    public void testJMLCTransformDense() throws IOException {
        runJMLCReadMetaTest(TEST_NAME1, false, false, false);
    }

    @Test
    public void testJMLCTransformDenseReuse() throws IOException {
        runJMLCReadMetaTest(TEST_NAME1, true, false, false);
    }

    @Test
    public void testJMLCTransformDenseReadFrame() throws IOException {
        runJMLCReadMetaTest(TEST_NAME1, false, true, false);
    }

    @Test
    public void testJMLCTransformDenseReuseReadFrame() throws IOException {
        runJMLCReadMetaTest(TEST_NAME1, true, true, false);
    }

    /**
     * 
     * @param sparseM1
     * @param sparseM2
     * @param instType
     * @throws IOException 
     */
    private void runJMLCReadMetaTest(String testname, boolean modelReuse, boolean readFrame, boolean useSpec)
            throws IOException {
        String TEST_NAME = testname;

        TestConfiguration config = getTestConfiguration(TEST_NAME);
        loadTestConfiguration(config);

        //establish connection to SystemML
        Connection conn = new Connection();

        //read meta data frame 
        String spec = MapReduceTool.readStringFromHDFSFile(SCRIPT_DIR + TEST_DIR + "tfmtd_example2/spec.json");
        FrameBlock M = readFrame
                ? DataConverter.convertToFrameBlock(
                        conn.readStringFrame(SCRIPT_DIR + TEST_DIR + "tfmtd_frame_example/tfmtd_frame"))
                : conn.readTransformMetaDataFromFile(spec, SCRIPT_DIR + TEST_DIR + "tfmtd_example2/");

        try {
            //generate data based on recode maps
            HashMap<String, Long>[] RC = getRecodeMaps(spec, M);
            double[][] X = generateData(rows, cols, RC);
            String[][] F = null;

            //prepare input arguments
            HashMap<String, String> args = new HashMap<String, String>();
            args.put("$TRANSFORM_SPEC", spec);

            //read and precompile script
            String script = conn.readScript(SCRIPT_DIR + TEST_DIR + testname + ".dml");
            PreparedScript pstmt = conn.prepareScript(script, args, new String[] { "X", "M" }, new String[] { "F" },
                    false);

            if (modelReuse)
                pstmt.setFrame("M", M, true);

            //execute script multiple times (2 runs)
            for (int i = 0; i < 2; i++) {
                //bind input parameters
                if (!modelReuse)
                    pstmt.setFrame("M", M, false);
                pstmt.setMatrix("X", X);

                //execute script
                ResultVariables rs = pstmt.executeScript();

                //get output parameter
                F = rs.getFrame("F");
            }

            //check correct result 
            //for all generated data, probe recode maps and compare versus output
            for (int i = 0; i < rows; i++)
                for (int j = 0; j < cols; j++)
                    if (RC[j] != null) {
                        Assert.assertEquals("Wrong result: " + F[i][j] + ".", Double.valueOf(X[i][j]),
                                Double.valueOf(RC[j].get(F[i][j]).toString()));
                    }
        } catch (Exception ex) {
            ex.printStackTrace();
            throw new IOException(ex);
        } finally {
            if (conn != null)
                conn.close();
        }
    }

    /**
     * 
     * @param M
     * @return
     * @throws DMLRuntimeException 
     */
    @SuppressWarnings("unchecked")
    private HashMap<String, Long>[] getRecodeMaps(String spec, FrameBlock M) throws DMLRuntimeException {
        List<Integer> collist = Arrays.asList(ArrayUtils
                .toObject(TfMetaUtils.parseJsonIDList(spec, M.getColumnNames(), TfUtils.TXMETHOD_RECODE)));
        HashMap<String, Long>[] ret = new HashMap[M.getNumColumns()];
        Iterator<Object[]> iter = M.getObjectRowIterator();
        while (iter.hasNext()) {
            Object[] tmp = iter.next();
            for (int j = 0; j < tmp.length; j++)
                if (collist.contains(j + 1) && tmp[j] != null) {
                    if (ret[j] == null)
                        ret[j] = new HashMap<String, Long>();
                    String[] parts = IOUtilFunctions.splitCSV(tmp[j].toString(), Lop.DATATYPE_PREFIX);
                    ret[j].put(parts[0], Long.parseLong(parts[1]));
                }
        }

        return ret;
    }

    /**
     * 
     * @param rows
     * @param cols
     * @param RC
     * @return
     */
    private double[][] generateData(int rows, int cols, HashMap<String, Long>[] RC) {
        double[][] ret = new double[rows][cols];
        for (int i = 0; i < rows; i++)
            for (int j = 0; j < cols; j++)
                if (RC[j] != null) {
                    ret[i][j] = RC[j].values().toArray(new Long[0])[i % RC[j].size()];
                }

        return ret;
    }
}