| /* |
| * 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.federated.transform; |
| |
| import java.util.Arrays; |
| import java.util.HashMap; |
| import java.util.Iterator; |
| |
| import org.apache.commons.logging.Log; |
| import org.apache.commons.logging.LogFactory; |
| import org.apache.sysds.common.Types; |
| import org.apache.sysds.common.Types.ExecMode; |
| import org.apache.sysds.runtime.io.FrameReader; |
| import org.apache.sysds.runtime.io.FrameReaderFactory; |
| import org.apache.sysds.runtime.matrix.data.FrameBlock; |
| 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.Ignore; |
| import org.junit.Test; |
| |
| public class TransformFederatedEncodeDecodeTest extends AutomatedTestBase { |
| private static final Log LOG = LogFactory.getLog(TransformFederatedEncodeDecodeTest.class.getName()); |
| |
| private static final String TEST_NAME_RECODE = "TransformRecodeFederatedEncodeDecode"; |
| private static final String TEST_NAME_DUMMY = "TransformDummyFederatedEncodeDecode"; |
| private static final String TEST_DIR = "functions/transform/"; |
| private static final String TEST_CLASS_DIR = TEST_DIR+TransformFederatedEncodeDecodeTest.class.getSimpleName()+"/"; |
| |
| private static final String SPEC_RECODE = "TransformEncodeDecodeSpec.json"; |
| private static final String SPEC_DUMMYCODE = "TransformEncodeDecodeDummySpec.json"; |
| |
| private static final int rows = 300; |
| private static final int cols = 2; |
| private static final double sparsity1 = 0.9; |
| private static final double sparsity2 = 0.1; |
| |
| @Override |
| public void setUp() { |
| TestUtils.clearAssertionInformation(); |
| addTestConfiguration(TEST_NAME_RECODE, |
| new TestConfiguration(TEST_CLASS_DIR, TEST_NAME_RECODE, new String[] {"FO1", "FO2"})); |
| } |
| |
| // @Test |
| // public void runComplexRecodeTestCSVDenseCP() { |
| // runTransformEncodeDecodeTest(true, false, Types.FileFormat.CSV); |
| // } |
| |
| // @Test |
| // public void runComplexRecodeTestCSVSparseCP() { |
| // runTransformEncodeDecodeTest(true, true, Types.FileFormat.CSV); |
| // } |
| |
| // @Test |
| // public void runComplexRecodeTestTextcellDenseCP() { |
| // runTransformEncodeDecodeTest(true, false, Types.FileFormat.TEXT); |
| // } |
| |
| // @Test |
| // public void runComplexRecodeTestTextcellSparseCP() { |
| // runTransformEncodeDecodeTest(true, true, Types.FileFormat.TEXT); |
| // } |
| |
| // @Test |
| // public void runComplexRecodeTestBinaryDenseCP() { |
| // runTransformEncodeDecodeTest(true, false, Types.FileFormat.BINARY); |
| // } |
| |
| @Test |
| @Ignore |
| public void runComplexRecodeTestBinarySparseCP() { |
| // This test is ignored because the behavior of encoding in federated is different that what this test tries to |
| // verify. |
| runTransformEncodeDecodeTest(true, true, Types.FileFormat.BINARY); |
| } |
| |
| // @Test |
| // public void runSimpleDummycodeTestCSVDenseCP() { |
| // runTransformEncodeDecodeTest(false, false, Types.FileFormat.CSV); |
| // } |
| |
| // @Test |
| // public void runSimpleDummycodeTestCSVSparseCP() { |
| // runTransformEncodeDecodeTest(false, true, Types.FileFormat.CSV); |
| // } |
| |
| // @Test |
| // public void runSimpleDummycodeTestTextDenseCP() { |
| // runTransformEncodeDecodeTest(false, false, Types.FileFormat.TEXT); |
| // } |
| |
| // @Test |
| // public void runSimpleDummycodeTestTextSparseCP() { |
| // runTransformEncodeDecodeTest(false, true, Types.FileFormat.TEXT); |
| // } |
| |
| // @Test |
| // public void runSimpleDummycodeTestBinaryDenseCP() { |
| // runTransformEncodeDecodeTest(false, false, Types.FileFormat.BINARY); |
| // } |
| |
| // @Test |
| // public void runSimpleDummycodeTestBinarySparseCP() { |
| // runTransformEncodeDecodeTest(false, true, Types.FileFormat.BINARY); |
| // } |
| |
| private void runTransformEncodeDecodeTest(boolean recode, boolean sparse, Types.FileFormat format) { |
| ExecMode rtold = setExecMode(ExecMode.SINGLE_NODE); |
| |
| Thread t1 = null, t2 = null, t3 = null, t4 = null; |
| try { |
| getAndLoadTestConfiguration(TEST_NAME_RECODE); |
| |
| int port1 = getRandomAvailablePort(); |
| t1 = startLocalFedWorkerThread(port1); |
| int port2 = getRandomAvailablePort(); |
| t2 = startLocalFedWorkerThread(port2); |
| int port3 = getRandomAvailablePort(); |
| t3 = startLocalFedWorkerThread(port3); |
| int port4 = getRandomAvailablePort(); |
| t4 = startLocalFedWorkerThread(port4); |
| |
| // schema |
| Types.ValueType[] schema = new Types.ValueType[cols / 2]; |
| Arrays.fill(schema, Types.ValueType.FP64); |
| // generate and write input data |
| // A is the data that will be aggregated and not recoded |
| double[][] A = TestUtils.round(getRandomMatrix(rows, cols / 2, 1, 15, sparse ? sparsity2 : sparsity1, 7)); |
| double[][] AUpper = Arrays.copyOf(A, rows / 2); |
| double[][] ALower = Arrays.copyOfRange(A, rows / 2, rows); |
| writeInputFrameWithMTD("AU", AUpper, false, schema, format); |
| writeInputFrameWithMTD("AL", ALower, false, schema, format); |
| |
| // B will be recoded and will be the column that will be grouped by |
| Arrays.fill(schema, Types.ValueType.STRING); |
| // we set sparsity to 1.0 to ensure all the string labels exist |
| double[][] B = TestUtils.round(getRandomMatrix(rows, cols / 2, 1, 15, 1.0, 8)); |
| double[][] BUpper = Arrays.copyOf(B, rows / 2); |
| double[][] BLower = Arrays.copyOfRange(B, rows / 2, rows); |
| writeInputFrameWithMTD("BU", BUpper, false, schema, format); |
| writeInputFrameWithMTD("BL", BLower, false, schema, format); |
| |
| fullDMLScriptName = SCRIPT_DIR + TEST_DIR + (recode ? TEST_NAME_RECODE : TEST_NAME_DUMMY) + ".dml"; |
| |
| String spec_file = recode ? SPEC_RECODE : SPEC_DUMMYCODE; |
| programArgs = new String[] {"-nvargs", |
| "in_AU=" + TestUtils.federatedAddress("localhost", port1, input("AU")), |
| "in_AL=" + TestUtils.federatedAddress("localhost", port2, input("AL")), |
| "in_BU=" + TestUtils.federatedAddress("localhost", port3, input("BU")), |
| "in_BL=" + TestUtils.federatedAddress("localhost", port4, input("BL")), "rows=" + rows, "cols=" + cols, |
| "spec_file=" + SCRIPT_DIR + TEST_DIR + spec_file, "out1=" + output("FO1"), "out2=" + output("FO2"), |
| "format=" + format.toString()}; |
| |
| // run test |
| // runTest(null); |
| LOG.error("\n" + runTest(null)); |
| |
| // compare frame before and after encode and decode |
| FrameReader reader = FrameReaderFactory.createFrameReader(format); |
| FrameBlock OUT = reader.readFrameFromHDFS(output("FO2"), rows, cols); |
| for(int r = 0; r < rows; r++) { |
| for(int c = 0; c < cols; c++) { |
| String expected = c < cols / 2 ? Double.toString(A[r][c]) : "Str" + B[r][c - cols / 2]; |
| String val = (String) OUT.get(r, c); |
| Assert.assertEquals("Enc- and Decoded frame does not match the source frame: " + expected + " vs " |
| + val, expected, val); |
| } |
| } |
| if(recode) { |
| // TODO federate the aggregated result so that the decode is applied in a federated environment |
| // compare matrices (values recoded to identical codes) |
| FrameBlock FO = reader.readFrameFromHDFS(output("FO1"), 15, 2); |
| HashMap<String, Long> cFA = getCounts(A, B); |
| Iterator<String[]> iterFO = FO.getStringRowIterator(); |
| while(iterFO.hasNext()) { |
| String[] row = iterFO.next(); |
| Double expected = (double) cFA.get(row[1]); |
| Double val = (row[0] != null) ? Double.parseDouble(row[0]) : 0; |
| Assert.assertEquals("Output aggregates don't match: " + expected + " vs " + val, expected, val); |
| } |
| } |
| } |
| catch(Exception ex) { |
| ex.printStackTrace(); |
| Assert.fail(ex.getMessage()); |
| } |
| finally { |
| TestUtils.shutdownThreads(t1, t2, t3, t4); |
| resetExecMode(rtold); |
| } |
| } |
| |
| private static HashMap<String, Long> getCounts(double[][] countFrame, double[][] groupFrame) { |
| HashMap<String, Long> ret = new HashMap<>(); |
| for(int i = 0; i < countFrame.length; i++) { |
| String key = "Str" + groupFrame[i][0]; |
| Long tmp = ret.get(key); |
| ret.put(key, (tmp != null) ? tmp + 1 : 1); |
| } |
| return ret; |
| } |
| } |