[commons-math] 02/08: Formatting (unit test).

[erans]

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commit 24e2c246ce165d3bb058ad9ca4d81a2776c9c3cf
Author: Gilles Sadowski <gillese...@gmail.com>
AuthorDate: Thu Jun 25 17:58:28 2020 +0200

    Formatting (unit test).
---
 .../ml/neuralnet/twod/NeuronSquareMesh2DTest.java      | 18 +++++++++---------
 1 file changed, 9 insertions(+), 9 deletions(-)

diff --git 
a/src/test/java/org/apache/commons/math4/ml/neuralnet/twod/NeuronSquareMesh2DTest.java
 
b/src/test/java/org/apache/commons/math4/ml/neuralnet/twod/NeuronSquareMesh2DTest.java
index 1c58b93..693f59b 100644
--- 
a/src/test/java/org/apache/commons/math4/ml/neuralnet/twod/NeuronSquareMesh2DTest.java
+++ 
b/src/test/java/org/apache/commons/math4/ml/neuralnet/twod/NeuronSquareMesh2DTest.java
@@ -220,9 +220,9 @@ public class NeuronSquareMesh2DTest {
     public void test3x2CylinderNetwork2() {
         final FeatureInitializer[] initArray = { init };
         final Network net = new NeuronSquareMesh2D(2, false,
-                                             3, true,
-                                             SquareNeighbourhood.MOORE,
-                                             initArray).getNetwork();
+                                                   3, true,
+                                                   SquareNeighbourhood.MOORE,
+                                                   initArray).getNetwork();
         Collection<Neuron> neighbours;
 
         // All neurons.
@@ -345,9 +345,9 @@ public class NeuronSquareMesh2DTest {
     public void test3x3TorusNetwork2() {
         final FeatureInitializer[] initArray = { init };
         final Network net = new NeuronSquareMesh2D(3, true,
-                                             3, true,
-                                             SquareNeighbourhood.MOORE,
-                                             initArray).getNetwork();
+                                                   3, true,
+                                                   SquareNeighbourhood.MOORE,
+                                                   initArray).getNetwork();
         Collection<Neuron> neighbours;
 
         // All neurons.
@@ -569,9 +569,9 @@ public class NeuronSquareMesh2DTest {
     public void testConcentricNeighbourhood() {
         final FeatureInitializer[] initArray = { init };
         final Network net = new NeuronSquareMesh2D(5, true,
-                                             5, true,
-                                             SquareNeighbourhood.VON_NEUMANN,
-                                             initArray).getNetwork();
+                                                   5, true,
+                                                   
SquareNeighbourhood.VON_NEUMANN,
+                                                   initArray).getNetwork();
 
         Collection<Neuron> neighbours;
         Collection<Neuron> exclude = new HashSet<>();