Create regression tests

Author: gselzer

src/test/java/net/imagej/ops/filter/sharpen/SharpenTest.java

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+/*
+ * #%L
+ * ImageJ software for multidimensional image processing and analysis.
+ * %%
+ * Copyright (C) 2014 - 2018 ImageJ developers.
+ * %%
+ * Redistribution and use in source and binary forms, with or without
+ * modification, are permitted provided that the following conditions are met:
+ * 
+ * 1. Redistributions of source code must retain the above copyright notice,
+ *    this list of conditions and the following disclaimer.
+ * 2. Redistributions in binary form must reproduce the above copyright notice,
+ *    this list of conditions and the following disclaimer in the documentation
+ *    and/or other materials provided with the distribution.
+ * 
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+ * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+ * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+ * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR CONTRIBUTORS BE
+ * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+ * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
+ * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+ * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+ * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+ * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+ * POSSIBILITY OF SUCH DAMAGE.
+ * #L%
+ */
+
+package net.imagej.ops.filter.sharpen;
+
+import java.util.stream.IntStream;
+
+import net.imagej.ops.AbstractOpTest;
+import net.imglib2.img.Img;
+import net.imglib2.img.array.ArrayImgs;
+import net.imglib2.type.numeric.integer.IntType;
+
+import org.junit.Test;
+
+/**
+ * Tests {@link DefaultSharpen}.
+ *
+ * @author Gabe Selzer
+ */
+public class SharpenTest extends AbstractOpTest {
+
+	@Test
+	public void testRegression() {
+		int[] range = IntStream.rangeClosed(0, 24).toArray();
+		int[] regressionData = { -9, -6, -5, -4, -2, 4, 7, 8, 9, 11, 9, 12, 13, 14,
+			16, 14, 17, 18, 19, 21, 27, 29, 30, 31, 34 };
+		Img<IntType> img = ArrayImgs.ints(range, 5, 5);
+
+		Img<IntType> actual = (Img<IntType>) ops.filter().sharpen(img);
+		Img<IntType> expected = ArrayImgs.ints(regressionData, 5l, 5l);
+
+		assertIterationsEqual(expected, actual);
+	}
+	
+	@Test (expected = NegativeArraySizeException.class)
+	public void testTooFewDimensions() {
+		int[] range = IntStream.rangeClosed(1, 7).toArray();
+		Img<IntType> img = ArrayImgs.ints(range, 7);
+		
+		Img<IntType> output = (Img<IntType>) ops.filter().sharpen(img);
+	}
+}

src/test/java/net/imagej/ops/filter/smooth/SmoothTest.java

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+/*
+ * #%L
+ * ImageJ software for multidimensional image processing and analysis.
+ * %%
+ * Copyright (C) 2014 - 2018 ImageJ developers.
+ * %%
+ * Redistribution and use in source and binary forms, with or without
+ * modification, are permitted provided that the following conditions are met:
+ * 
+ * 1. Redistributions of source code must retain the above copyright notice,
+ *    this list of conditions and the following disclaimer.
+ * 2. Redistributions in binary form must reproduce the above copyright notice,
+ *    this list of conditions and the following disclaimer in the documentation
+ *    and/or other materials provided with the distribution.
+ * 
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+ * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+ * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+ * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR CONTRIBUTORS BE
+ * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+ * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
+ * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+ * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+ * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+ * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+ * POSSIBILITY OF SUCH DAMAGE.
+ * #L%
+ */
+
+package net.imagej.ops.filter.smooth;
+
+import java.util.stream.IntStream;
+
+import net.imagej.ops.AbstractOpTest;
+import net.imglib2.img.Img;
+import net.imglib2.img.array.ArrayImgs;
+import net.imglib2.type.numeric.integer.IntType;
+
+import org.junit.Test;
+
+/**
+ * Tests {@link DefaultSmooth}.
+ *
+ * @author Gabe Selzer
+ */
+public class SmoothTest extends AbstractOpTest {
+
+	@Test
+	public void testRegression() {
+		int[] range = IntStream.rangeClosed(0, 24).toArray();
+		int[] regressionData = { 5, 5, 6, 7, 7, 6, 7, 8, 9, 9, 11, 12, 13, 14, 14,
+			16, 17, 18, 19, 19, 18, 18, 19, 20, 21 };
+		Img<IntType> img = ArrayImgs.ints(range, 5, 5);
+
+		Img<IntType> actual = (Img<IntType>) ops.filter().smooth(img);
+		Img<IntType> expected = ArrayImgs.ints(regressionData, 5l, 5l);
+
+		assertIterationsEqual(expected, actual);
+	}
+
+	@Test(expected = NegativeArraySizeException.class)
+	public void testTooFewDimensions() {
+		int[] range = IntStream.rangeClosed(1, 7).toArray();
+		Img<IntType> img = ArrayImgs.ints(range, 7);
+
+		Img<IntType> output = (Img<IntType>) ops.filter().smooth(img);
+	}
+}