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/*
 * Copyright (c) 2021, Peter Abeles. All Rights Reserved.
 *
 * This file is part of BoofCV (http://boofcv.org).
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package boofcv.struct.sparse;

import boofcv.struct.image.ImageGray;

import java.lang.reflect.InvocationTargetException;

/**
 * Wraps around other {@link SparseImageGradient} classes and checks to see if
 * the image is in bounds or not. If it is out of bounds the return value is set to one.
 *
 * @author Peter Abeles
 */
public class SparseGradientSafe, G extends GradientValue>
		implements SparseImageGradient {
	SparseImageGradient wrap;
	G zero;

	public SparseGradientSafe( SparseImageGradient wrap ) {
		this.wrap = wrap;

		try {
			zero = (G)wrap.getGradientType().getConstructor().newInstance();
		} catch (InstantiationException | IllegalAccessException | NoSuchMethodException | InvocationTargetException e) {
			throw new RuntimeException(e);
		}
	}

	@Override
	public void setImage( T input ) {
		wrap.setImage(input);
	}

	@Override
	public boolean isInBounds( int x, int y ) {
		return wrap.isInBounds(x, y);
	}

	@Override
	public G compute( int x, int y ) {
		if (wrap.isInBounds(x, y))
			return wrap.compute(x, y);
		else
			return zero;
	}

	@Override
	public Class getGradientType() {
		return wrap.getGradientType();
	}
}




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