/*
 * #%L
 * ImageJ software for multidimensional image processing and analysis.
 * %%
 * Copyright (C) 2014 - 2016 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.create.kernelGauss;

import net.imagej.ops.Ops;
import net.imagej.ops.create.AbstractCreateSymmetricGaussianKernel;
import net.imglib2.img.Img;
import net.imglib2.type.numeric.ComplexType;

import org.scijava.Priority;
import org.scijava.plugin.Plugin;

/**
 * Convenience op for generating a symmetric Gaussian kernel
 * 
 * @author Brian Northan
 * @param <T>
 */
@Plugin(type = Ops.Create.KernelGauss.class, priority = Priority.HIGH_PRIORITY)
public class CreateKernelGaussSymmetric<T extends ComplexType<T>> extends
	AbstractCreateSymmetricGaussianKernel<T> implements Ops.Create.KernelGauss
{

	@Override
	public void run() {
		double[] sigmas = new double[numDimensions];

		for (int d = 0; d < numDimensions; d++) {
			sigmas[d] = sigma;
		}

		output =
			(Img<T>) ops().create().kernelGauss(outType, fac, sigmas);
	}
}

@@ -1696,15 +1696,23 @@
 ib2.
-img.Img
+type.NativeType
 ;%0Aim
@@ -2079,19 +2079,35 @@
 e%3CT%3E
-%3E
  
+& NativeType%3CT%3E%3E%0A%09
 extends
-%0A%09
+ 
 Abst
@@ -2153,17 +2153,18 @@
 plements
- 
+%0A%09
 Ops.Crea
@@ -2346,20 +2346,8 @@
 ut =
-%0A%09%09%09(Img%3CT%3E)
  ops

fix generic type