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A multidimensional, type-agnostic image processing library.
There is a newer version: 7.1.4
/*
 * #%L
 * ImgLib2: a general-purpose, multidimensional image processing library.
 * %%
 * Copyright (C) 2009 - 2018 Tobias Pietzsch, Stephan Preibisch, Stephan Saalfeld,
 * John Bogovic, Albert Cardona, Barry DeZonia, Christian Dietz, Jan Funke,
 * Aivar Grislis, Jonathan Hale, Grant Harris, Stefan Helfrich, Mark Hiner,
 * Martin Horn, Steffen Jaensch, Lee Kamentsky, Larry Lindsey, Melissa Linkert,
 * Mark Longair, Brian Northan, Nick Perry, Curtis Rueden, Johannes Schindelin,
 * Jean-Yves Tinevez and Michael Zinsmaier.
 * %%
 * 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.imglib2.img.list;

import net.imglib2.AbstractLocalizableInt;
import net.imglib2.Localizable;
import net.imglib2.RandomAccess;

/**
 * {@link RandomAccess} on a {@link ListImg}.
 *
 * @param 
 *            the pixel type
 *
 * @author Stephan Preibisch
 * @author Stephan Saalfeld
 * @author Tobias Pietzsch
 */
public class ListRandomAccess< T > extends AbstractLocalizableInt implements RandomAccess< T >
{
	private int i;

	private final AbstractListImg< T > img;

	public ListRandomAccess( final ListRandomAccess< T > randomAccess )
	{
		super( randomAccess.numDimensions() );

		img = randomAccess.img;

		for ( int d = 0; d < n; ++d )
			position[ d ] = randomAccess.position[ d ];

		i = randomAccess.i;
	}

	public ListRandomAccess( final AbstractListImg< T > img )
	{
		super( img.numDimensions() );

		this.img = img;

		i = 0;
	}

	@Override
	public T get()
	{
		return img.get( i );
	}

	public void set( final T t )
	{
		img.set( i, t );
	}

	@Override
	public void fwd( final int d )
	{
		i += img.step[ d ];
		++position[ d ];
	}

	@Override
	public void bck( final int d )
	{
		i -= img.step[ d ];
		--position[ d ];
	}

	@Override
	public void move( final int distance, final int d )
	{
		i += img.step[ d ] * distance;
		position[ d ] += distance;
	}

	@Override
	public void move( final long distance, final int d )
	{
		move( ( int ) distance, d );
	}

	@Override
	public void move( final Localizable localizable )
	{
		for ( int d = 0; d < n; ++d )
			move( localizable.getIntPosition( d ), d );
	}

	@Override
	public void move( final int[] distance )
	{
		for ( int d = 0; d < n; ++d )
			move( distance[ d ], d );
	}

	@Override
	public void move( final long[] distance )
	{
		for ( int d = 0; d < n; ++d )
			move( ( int ) distance[ d ], d );
	}

	@Override
	public void setPosition( final Localizable localizable )
	{
		position[ 0 ] = i = localizable.getIntPosition( 0 );
		for ( int d = 1; d < n; ++d )
		{
			position[ d ] = localizable.getIntPosition( d );
			i += position[ d ] * img.step[ d ];
		}
	}

	@Override
	public void setPosition( final int[] position )
	{
		i = position[ 0 ];
		this.position[ 0 ] = i;
		for ( int d = 1; d < n; ++d )
		{
			final int p = position[ d ];
			i += p * img.step[ d ];
			this.position[ d ] = p;
		}
	}

	@Override
	public void setPosition( final long[] position )
	{
		i = ( int ) position[ 0 ];
		this.position[ 0 ] = i;
		for ( int d = 1; d < n; ++d )
		{
			final int p = ( int ) position[ d ];
			i += p * img.step[ d ];
			this.position[ d ] = p;
		}
	}

	@Override
	public void setPosition( final int position, final int d )
	{
		i += img.step[ d ] * ( position - this.position[ d ] );
		this.position[ d ] = position;
	}

	@Override
	public void setPosition( final long position, final int d )
	{
		i += img.step[ d ] * ( position - this.position[ d ] );
		this.position[ d ] = ( int ) position;
	}

	@Override
	public ListRandomAccess< T > copy()
	{
		return new ListRandomAccess< T >( this );
	}

	@Override
	public ListRandomAccess< T > copyRandomAccess()
	{
		return copy();
	}
}