/*
 * #%L
 * ImageJ software for multidimensional image processing and analysis.
 * %%
 * Copyright (C) 2014 - 2015 Board of Regents of the University of
 * Wisconsin-Madison, University of Konstanz and Brian Northan.
 * %%
 * 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.convolve;

import net.imagej.ops.AbstractOpTest;
import net.imglib2.img.Img;
import net.imglib2.img.array.ArrayImgFactory;
import net.imglib2.type.numeric.integer.ByteType;

import org.junit.Test;

/**
 * Tests involving Gaussian convolution.
 * 
 * @author Martin Horn (University of Konstanz)
 */
public class GaussTest extends AbstractOpTest {

	/** Tests the Gaussian. */
	@Test
	public void test() {

		final Img<ByteType> in =
			new ArrayImgFactory<ByteType>().create(new int[] { 20, 20 },
				new ByteType());
		final Img<ByteType> out = in.copy();
		final double sigma = 5;

		ops.gauss(out, in, sigma);
	}
}

@@ -1629,111 +1629,253 @@
 ib2.
-img.Img;%0Aimport net.imglib2.img.array.ArrayImgFactory;%0Aimport net.imglib2.type.numeric.integer.ByteType
+Cursor;%0Aimport net.imglib2.algorithm.gauss3.Gauss3;%0Aimport net.imglib2.exception.IncompatibleTypeException;%0Aimport net.imglib2.img.Img;%0Aimport net.imglib2.type.numeric.integer.ByteType;%0Aimport net.imglib2.util.Util;%0Aimport net.imglib2.view.Views
 ;%0A%0Ai
@@ -1914,18 +1914,8 @@
 sts 
-involving 
 Gaus
@@ -1984,16 +1984,68 @@
 nstanz)%0A
+ * @author Christian Dietz (University of Konstanz)%0A
  */%0Apubl
@@ -2137,17 +2137,32 @@
 ic void 
-t
+gaussRegressionT
 est() %7B%0A
@@ -2192,92 +2192,167 @@
 in =
-%0A%09%09%09new ArrayImgFactory%3CByteType%3E().create(new int
+ generateByteTestImg(true, new long
 %5B%5D %7B 
-20, 20 %7D,%0A%09%09%09%09new ByteType())
+10, 10 %7D);%0A%09%09final Img%3CByteType%3E out1 =%0A%09%09%09ops.create().img(in, Util.getTypeFromInterval(in));%0A%09%09final double sigma = 5
 ;%0A%09%09
@@ -2378,77 +2378,485 @@
  out
+2
  =
- in.copy();%0A%09%09final double sigma = 5;%0A%0A%09%09ops.gauss(out, in, sigma);
+%0A%09%09%09ops.create().img(in, Util.getTypeFromInterval(in));%0A%0A%09%09ops.gauss(out1, in, sigma);%0A%09%09try %7B%0A%09%09%09Gauss3.gauss(sigma, Views.extendMirrorSingle(in), out2);%0A%09%09%7D%0A%09%09catch (IncompatibleTypeException e) %7B%0A%09%09%09throw new RuntimeException(e);%0A%09%09%7D%0A%0A%09%09// compare outputs%0A%09%09final Cursor%3CByteType%3E c1 = out1.cursor();%0A%09%09final Cursor%3CByteType%3E c2 = out2.cursor();%0A%0A%09%09while (c1.hasNext()) %7B%0A%09%09%09org.junit.Assert.assertEquals(c1.next().getRealDouble(), c2.next()%0A%09%09%09%09.getRealDouble(), 0);%0A%09%09%7D
 %0A%09%7D%0A

enhance GaussTest to a regression test