Java tutorial
/* * Copyright (C) 2014 Craig Thomas * This project uses an MIT style license - see LICENSE for details. */ package ca.craigthomas.visualclassifier.dataset; import static org.junit.Assert.*; import java.io.IOException; import java.util.List; import org.apache.commons.lang3.ArrayUtils; import org.junit.Assert; import org.junit.Test; public class TestDataSetReader { private static final String BAD_FILENAME = "/this_file_does_not_exist.csv"; private static final String SAMPLE_FILE = "resources/small_dataset_example.csv"; @Test(expected = IOException.class) public void testReadFromNonExistentCSV() throws IOException { DataSetReader.readCSVFile(BAD_FILENAME); } @Test public void testReadFromCSVFileSeparatesLabelsCorrectly() throws IOException { double[][] expected = { { 1.0, 1.0, 1.0 }, { 1.0, 0.0, 0.0 }, { 0.0, 1.0, 0.0 }, { 0.0, 0.0, 0.0 } }; List<List<Double>> result = DataSetReader.readCSVFile(SAMPLE_FILE); assertEquals(expected.length, result.size()); for (int index = 0; index < expected.length; index++) { List<Double> row = result.get(index); Double[] temp = row.toArray(new Double[row.size()]); double[] sampleRow = ArrayUtils.toPrimitive(temp); Assert.assertArrayEquals(expected[index], sampleRow, 0.0001); } } }