style: apply imglib2 style

src/main/java/net/imglib2/interpolation/neighborsearch/RadialKDTreeInterpolator.java

@@ -5,76 +5,81 @@
 import net.imglib2.KDTree;
 import net.imglib2.RealPoint;
 import net.imglib2.RealRandomAccess;
-import net.imglib2.interpolation.InterpolatorFactory;
 import net.imglib2.neighborsearch.RadiusNeighborSearch;
 import net.imglib2.neighborsearch.RadiusNeighborSearchOnKDTree;
 import net.imglib2.type.numeric.NumericType;
 
 /**
- * A {@link RealRandomAccess} for {@link KDTree}s using a radial function used by
- * {@link RadialKDTreeInterpolatorFactory}.
+ * A {@link RealRandomAccess} for {@link KDTree}s using a radial function used
+ * by {@link RadialKDTreeInterpolatorFactory}.
  */
-public class RadialKDTreeInterpolator<T extends NumericType<T>> extends RealPoint implements RealRandomAccess<T> {
-
+public class RadialKDTreeInterpolator< T extends NumericType< T > > extends RealPoint implements RealRandomAccess< T >
+{
 	protected static final double minThreshold = Double.MIN_VALUE * 1000;
 
-	protected final RadiusNeighborSearch<T> search;
+	protected final RadiusNeighborSearch< T > search;
+
 	protected final double maxRadius;
+
 	protected final double maxSquaredRadius;
-	protected final KDTree<T> tree;
+
+	protected final KDTree< T > tree;
+
 	protected final T value;
+
 	protected final T tmp;
+
 	protected final DoubleUnaryOperator squaredRadiusFunction;
 
 	public RadialKDTreeInterpolator(
-			final KDTree<T> tree,
+			final KDTree< T > tree,
 			final DoubleUnaryOperator squaredRadiusFunction,
 			final double maxRadius,
-			T t) {
-
-		super(tree.numDimensions());
+			final T t )
+	{
+		super( tree.numDimensions() );
 
 		this.squaredRadiusFunction = squaredRadiusFunction;
 		this.tree = tree;
-		this.search = new RadiusNeighborSearchOnKDTree<T>(tree);
+		this.search = new RadiusNeighborSearchOnKDTree< T >( tree );
 		this.maxRadius = maxRadius;
 		this.maxSquaredRadius = maxRadius * maxRadius;
 		this.value = t.copy();
 		this.tmp = t.copy();
 	}
 
-	public double getMaxRadius() {
-
+	public double getMaxRadius()
+	{
 		return maxRadius;
 	}
 
 	@Override
-	public T get() {
-
+	public T get()
+	{
 		value.setZero();
-		search.search(this, maxRadius, false);
-		if (search.numNeighbors() == 0)
+		search.search( this, maxRadius, false );
+		if ( search.numNeighbors() == 0 )
 			return value;
 
-		for (int i = 0; i < search.numNeighbors(); ++i) {
+		for ( int i = 0; i < search.numNeighbors(); ++i )
+		{
 			// can't multiply the value returned
-			tmp.set(search.getSampler(i).get());
-			tmp.mul(squaredRadiusFunction.applyAsDouble(search.getSquareDistance(i)));
-			value.add(tmp);
+			tmp.set( search.getSampler( i ).get() );
+			tmp.mul( squaredRadiusFunction.applyAsDouble( search.getSquareDistance( i ) ) );
+			value.add( tmp );
 		}
 		return value;
 	}
 
 	@Override
-	public RadialKDTreeInterpolator<T> copy() {
-
-		return new RadialKDTreeInterpolator<T>(tree, squaredRadiusFunction, maxRadius, value);
+	public RadialKDTreeInterpolator< T > copy()
+	{
+		return new RadialKDTreeInterpolator< T >( tree, squaredRadiusFunction, maxRadius, value );
 	}
 
 	@Override
-	public RadialKDTreeInterpolator<T> copyRealRandomAccess() {
-
+	public RadialKDTreeInterpolator< T > copyRealRandomAccess()
+	{
 		return copy();
 	}
-
 }

src/main/java/net/imglib2/interpolation/neighborsearch/RadialKDTreeInterpolatorFactory.java

@@ -16,30 +16,32 @@
  * The contribution of each point is weighted according to a function of its
  * squared radius.
  */
-public class RadialKDTreeInterpolatorFactory<T extends NumericType<T>> implements InterpolatorFactory<T, KDTree<T>> {
-
+public class RadialKDTreeInterpolatorFactory< T extends NumericType< T > > implements InterpolatorFactory< T, KDTree< T > >
+{
 	protected final double maxRadius;
+
 	protected final DoubleUnaryOperator squaredRadiusFunction;
+
 	protected final T val;
 
 	public RadialKDTreeInterpolatorFactory(
-			final DoubleUnaryOperator squaredRadiusFunction, final double maxRadius, T t) {
-
+			final DoubleUnaryOperator squaredRadiusFunction,
+			final double maxRadius, final T t )
+	{
 		this.maxRadius = maxRadius;
 		this.squaredRadiusFunction = squaredRadiusFunction;
 		this.val = t;
 	}
 
 	@Override
-	public RadialKDTreeInterpolator<T> create(final KDTree<T> tree) {
-
-		return new RadialKDTreeInterpolator<T>(tree, squaredRadiusFunction, maxRadius, val);
+	public RadialKDTreeInterpolator< T > create( final KDTree< T > tree )
+	{
+		return new RadialKDTreeInterpolator< T >( tree, squaredRadiusFunction, maxRadius, val );
 	}
 
 	@Override
-	public RealRandomAccess<T> create(final KDTree<T> tree, final RealInterval interval) {
-
-		return create(tree);
+	public RealRandomAccess< T > create( final KDTree< T > tree, final RealInterval interval )
+	{
+		return create( tree );
 	}
-
 }