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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.sysds.test.gpu.cudaSupportFunctions;

import org.apache.sysds.runtime.matrix.data.MatrixValue;
import org.apache.sysds.test.AutomatedTestBase;
import org.apache.sysds.test.TestConfiguration;
import org.apache.sysds.test.TestUtils;
import org.junit.Assert;
import org.junit.BeforeClass;
import org.junit.Test;

import java.util.HashMap;

public class CudaCusparseCsrMVTest extends AutomatedTestBase {

	private static final String TEST_NAME = "CudaSupportFunctionsMV";
	private static final String TEST_DIR = "gpu/cudaSupportFunctions/";
	private static final String TEST_CLASS_DIR = TEST_DIR + CudaCusparseCsrMVTest.class.getSimpleName() + "/";

	private static final int rows = 200;
	private static final int cols = 200;
	private static final double eps = Math.pow(10, -10);

	@BeforeClass
	public static void ensureGPU() {
		TestUtils.checkGPU();
	}

	@Override
	public void setUp() {
		TestUtils.clearAssertionInformation();
		addTestConfiguration(TEST_NAME, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME, new String[] {"R"}));
	}

	@Test
	public void testCusparseCsrMVNoTranspose() {
		testCusparseCsrMV(1);
	}

	@Test
	public void testCusparseCsrMVLeftTranspose() {
		testCusparseCsrMV(2);
	}

	private void testCusparseCsrMV(int ID) {

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

		String HOME = SCRIPT_DIR + TEST_DIR;
		fullDMLScriptName = HOME + TEST_NAME + ".dml";
		programArgs = new String[] {"-stats", "-gpu", "-args", input("A"), input("X"), String.valueOf(ID), output("R")};
		fullRScriptName = HOME + TEST_NAME + ".R";
		rCmd = getRCmd(inputDir(), String.valueOf(ID), expectedDir());

		// A is sparse matrix, X dense vector
		double[][] A = getRandomMatrix(rows, cols, -1, 1, 0.20d, 5);
		double[][] X = getRandomMatrix(rows, 1, -1, 1, 0.80d, 3);
		writeInputMatrixWithMTD("A", A, true);
		writeInputMatrixWithMTD("X", X, true);

		runTest(true, false, null, -1);
		runRScript(true);

		//compare matrices
		HashMap<MatrixValue.CellIndex, Double> dmlfile = readDMLMatrixFromOutputDir("R");
		HashMap<MatrixValue.CellIndex, Double> rfile = readRMatrixFromExpectedDir("R");
		TestUtils.compareMatrices(dmlfile, rfile, eps, "Stat-DML", "Stat-R");

		Assert.assertTrue(heavyHittersContainsString("gpu_ba+*"));

	}
}
