Examples save and load testing

src/test/java/trainableSegmentation/ExamplesTest.java

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+/*-
+ * #%L
+ * Fiji distribution of ImageJ for the life sciences.
+ * %%
+ * Copyright (C) 2010 - 2024 Fiji developers.
+ * %%
+ * This program is free software: you can redistribute it and/or modify
+ * it under the terms of the GNU General Public License as
+ * published by the Free Software Foundation, either version 3 of the
+ * License, or (at your option) any later version.
+ * 
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU General Public License for more details.
+ * 
+ * You should have received a copy of the GNU General Public
+ * License along with this program.  If not, see
+ * <http://www.gnu.org/licenses/gpl-3.0.html>.
+ * #L%
+ */
+package trainableSegmentation;
+
+import static org.junit.Assert.assertEquals;
+import static org.junit.Assert.assertNotNull;
+import static org.junit.Assert.fail;
+
+import java.io.IOException;
+import java.net.URL;
+import java.nio.file.Files;
+import java.nio.file.Path;
+import java.util.ArrayList;
+
+import org.junit.Test;
+
+import ij.ImagePlus;
+import ij.gui.Roi;
+
+public class ExamplesTest {
+	@Test
+	public void testExamples() {
+		final URL url = getClass().getResource("/bridge.png");
+		final ImagePlus bridge = new ImagePlus(url.getPath());;
+		assertNotNull(bridge);
+
+		final ArrayList<Roi> expected_examples = new ArrayList<Roi>();
+		final Roi roi = new Roi(100, 100, 30, 30);
+		expected_examples.add(roi);
+
+		WekaSegmentation segmentator = new WekaSegmentation(bridge);
+		segmentator.addClass();
+		assertEquals(3, segmentator.getNumOfClasses());
+		segmentator.setClassLabel(2, "label");
+		segmentator.addExample(0, new Roi(10, 10, 50, 50), 1);
+		segmentator.addExample(1, new Roi(400, 400, 30, 30), 1);
+		segmentator.addExample(2, roi, 1);
+		try {
+			final Path path = Files.createTempFile("tws-", ".twse.gz");
+			segmentator.saveExamples(path.toString());
+
+			segmentator.removeClass(0);
+			assertEquals(2, segmentator.getNumOfClasses());
+			assertEquals("class 2", segmentator.getClassLabel(0));
+			assertEquals("label", segmentator.getClassLabel(1));
+			assertEquals("class 3", segmentator.getClassLabel(2));
+			assertEquals(expected_examples, segmentator.getExamples(1, 1));
+
+			segmentator = new WekaSegmentation(bridge);
+			assertEquals(2, segmentator.getNumOfClasses());
+			segmentator.loadExamples(path.toString());
+			assertEquals(3, segmentator.getNumOfClasses());
+			assertEquals("label", segmentator.getClassLabel(2));
+			assertEquals(expected_examples, segmentator.getExamples(2, 1));
+
+			Files.delete(path);
+		} catch (IOException e) {
+			e.printStackTrace();
+			fail("Caught IOException");
+		}
+	}
+}