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A multidimensional, type-agnostic image processing library.
/*
* #%L
* ImgLib2: a general-purpose, multidimensional image processing library.
* %%
* Copyright (C) 2009 - 2020 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.view;
import net.imglib2.AbstractLocalizable;
import net.imglib2.Cursor;
import net.imglib2.Interval;
import net.imglib2.Localizable;
import net.imglib2.RandomAccess;
import net.imglib2.transform.Transform;
/**
* Wrap a {@code source} RandomAccess which is related to this by a generic
* {@link Transform} {@code transformToSource}.
*
* {@link TransformRandomAccess} gets called by {@link Cursor} implementations
* over {@link RandomAccess} that initialize at the {@link Interval} min
* position - 1, i.e. they call {@link #bck(int) bck(0)} after
* {@link #setPosition(long[]) setPosition(min)}. Transforms are not
* necessarily defined at this position and may throw an exception. Therefore,
* position update must not apply the transformation! Instead, the
* transformation is applied at {@link #get()}. So don't call {@link #get()}
* more than once at the same place (generally a good idea).
*
* @author Stephan Saalfeld
* @author Philipp Hanslovsky
* @author Tobias Pietzsch
*/
public final class TransformRandomAccess< T > extends AbstractLocalizable implements RandomAccess< T >
{
/**
* source RandomAccess. note that this is the target of the
* transformToSource.
*/
private final RandomAccess< T > source;
private final Transform transformToSource;
private final long[] tmp;
TransformRandomAccess( final RandomAccess< T > source, final Transform transformToSource )
{
super( transformToSource.numSourceDimensions() );
this.source = source;
this.transformToSource = transformToSource;
this.tmp = new long[ transformToSource.numTargetDimensions() ];
}
protected TransformRandomAccess( final TransformRandomAccess< T > randomAccess )
{
super( randomAccess.numDimensions() );
this.source = randomAccess.source.copyRandomAccess();
this.transformToSource = randomAccess.transformToSource;
this.tmp = new long[ randomAccess.tmp.length ];
}
@Override
public void fwd( final int d )
{
assert d < n;
position[ d ] += 1;
}
@Override
public void bck( final int d )
{
assert d < n;
position[ d ] -= 1;
}
@Override
public void move( final int distance, final int d )
{
assert d < n;
position[ d ] += distance;
}
@Override
public void move( final long distance, final int d )
{
assert d < n;
position[ d ] += distance;
}
@Override
public void move( final Localizable localizable )
{
assert localizable.numDimensions() >= n;
for ( int d = 0; d < n; ++d )
position[ d ] += localizable.getLongPosition( d );
}
@Override
public void move( final int[] distance )
{
assert distance.length >= n;
for ( int d = 0; d < n; ++d )
position[ d ] += distance[ d ];
}
@Override
public void move( final long[] distance )
{
assert distance.length >= n;
for ( int d = 0; d < n; ++d )
position[ d ] += distance[ d ];
}
@Override
public void setPosition( final Localizable localizable )
{
assert localizable.numDimensions() == n;
localizable.localize( position );
}
@Override
public void setPosition( final int[] pos )
{
assert pos.length >= n;
for ( int d = 0; d < n; ++d )
position[ d ] = pos[ d ];
}
@Override
public void setPosition( final long[] pos )
{
assert pos.length >= n;
for ( int d = 0; d < n; ++d )
position[ d ] = pos[ d ];
}
@Override
public void setPosition( final int pos, final int d )
{
assert d < n;
position[ d ] = pos;
}
@Override
public void setPosition( final long pos, final int d )
{
assert d < n;
position[ d ] = pos;
}
@Override
public T get()
{
transformToSource.apply( position, tmp );
source.setPosition( tmp );
return source.get();
}
@Override
public TransformRandomAccess< T > copy()
{
return new TransformRandomAccess< T >( this );
}
@Override
public TransformRandomAccess< T > copyRandomAccess()
{
return copy();
}
}