Apache
/
commons-math
mirror of https://github.com/apache/commons-math.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

Remove trailing whitespace

This commit is contained in:
aherbert 2022-10-13 11:38:37 +01:00
parent a8d392580d
commit 5a8234a2fe
44 changed files with 383 additions and 383 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/SimplePointCheckerTest.java
View File

@ -23,7 +23,7 @@ import org.junit.Assert;
public class SimplePointCheckerTest { public class SimplePointCheckerTest {
@Test(expected=NotStrictlyPositiveException.class) @Test(expected=NotStrictlyPositiveException.class)
public void testIterationCheckPrecondition() { public void testIterationCheckPrecondition() {
new SimplePointChecker<PointValuePair>(1e-1, 1e-2, 0); new SimplePointChecker<>(1e-1, 1e-2, 0);
} }
@Test @Test

4
commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/MultivariateFunctionPenaltyAdapterTest.java
View File

@ -83,7 +83,7 @@ public class MultivariateFunctionPenaltyAdapterTest {
biQuadratic.getUpper(), biQuadratic.getUpper(),
1000.0, new double[] { 100.0, 100.0 }); 1000.0, new double[] { 100.0, 100.0 });
SimplexOptimizer optimizer = new SimplexOptimizer(new SimplePointChecker<PointValuePair>(1.0e-11, 1.0e-20)); SimplexOptimizer optimizer = new SimplexOptimizer(new SimplePointChecker<>(1.0e-11, 1.0e-20));
final PointValuePair optimum final PointValuePair optimum
= optimizer.optimize(new MaxEval(600), = optimizer.optimize(new MaxEval(600),
@ -133,7 +133,7 @@ public class MultivariateFunctionPenaltyAdapterTest {
biQuadratic.getUpper(), biQuadratic.getUpper(),
1000.0, new double[] { 100.0, 100.0 }); 1000.0, new double[] { 100.0, 100.0 });
SimplexOptimizer optimizer = new SimplexOptimizer(new SimplePointChecker<>(1.0e-10, 1.0e-20)); SimplexOptimizer optimizer = new SimplexOptimizer(new SimplePointChecker<PointValuePair>(1.0e-10, 1.0e-20));
final PointValuePair optimum final PointValuePair optimum
= optimizer.optimize(new MaxEval(400), = optimizer.optimize(new MaxEval(400),

6
commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/stat/FrequencyTest.java
View File

@ -86,7 +86,7 @@ public final class FrequencyTest {
Assert.assertEquals("-2 cum pct", 0, fInteger.getCumPct(-2), TOLERANCE); Assert.assertEquals("-2 cum pct", 0, fInteger.getCumPct(-2), TOLERANCE);
Assert.assertEquals("10 cum pct", 1, fInteger.getCumPct(10), TOLERANCE); Assert.assertEquals("10 cum pct", 1, fInteger.getCumPct(10), TOLERANCE);
fString = new Frequency<String>(String.CASE_INSENSITIVE_ORDER); fString = new Frequency<>(String.CASE_INSENSITIVE_ORDER);
fString.addValue("one"); fString.addValue("one");
fString.addValue("One"); fString.addValue("One");
fString.addValue("oNe"); fString.addValue("oNe");
@ -260,10 +260,10 @@ public final class FrequencyTest {
Assert.assertEquals(1, f.getCount(ONE_LONG)); Assert.assertEquals(1, f.getCount(ONE_LONG));
Assert.assertEquals(0, f.getCount(TWO_LONG)); Assert.assertEquals(0, f.getCount(TWO_LONG));
Frequency<Long> g = new Frequency<>(); Frequency<Long> g = new Frequency<Long>();
g.addValue(TWO_LONG); g.addValue(TWO_LONG);
Frequency<Long> h = new Frequency<>(); Frequency<Long> h = new Frequency<Long>();
h.addValue(THREE_LONG); h.addValue(THREE_LONG);
List<Frequency<Long>> coll = new ArrayList<>(); List<Frequency<Long>> coll = new ArrayList<>();

2
commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/stat/descriptive/rank/PSquarePercentileTest.java
View File

@ -387,7 +387,7 @@ public class PSquarePercentileTest extends
@Test(expected = MathIllegalArgumentException.class) @Test(expected = MathIllegalArgumentException.class)
public void testInitial() { public void testInitial() {
PSquarePercentile.newMarkers(new ArrayList<Double>(), 0.5); PSquarePercentile.newMarkers(new ArrayList<>(), 0.5);
Assert.fail(); Assert.fail();
} }

2
commons-math-neuralnet/src/main/java/org/apache/commons/math4/neuralnet/Network.java
View File

@ -183,7 +183,7 @@ public class Network
} }
neuronMap.put(id, new Neuron(id, features.clone())); neuronMap.put(id, new Neuron(id, features.clone()));
linkMap.put(id, new HashSet<Long>()); linkMap.put(id, new HashSet<>());
if (id > nextId.get()) { if (id > nextId.get()) {
nextId.set(id); nextId.set(id);