JUnit5 assertThrows ExponentialDecayFunctionTest
@@ -20,25 +20,35 @@ package org.apache.commons.math4.neuralnet.sofm.util;
import org.junit.Test;
import org.junit.Assert;
+import static org.junit.jupiter.api.Assertions.assertThrows;
+
/**
* Tests for {@link ExponentialDecayFunction} class
*/
public class ExponentialDecayFunctionTest {
- @Test(expected = IllegalArgumentException.class)
+
+ @Test
public void testPrecondition1() {
- new ExponentialDecayFunction(0d, 0d, 2);
+ assertThrows(IllegalArgumentException.class, () ->
+ new ExponentialDecayFunction(0d, 0d, 2));
}
- @Test(expected = IllegalArgumentException.class)
+
+ @Test
public void testPrecondition2() {
- new ExponentialDecayFunction(1d, 0d, 2);
+ assertThrows(IllegalArgumentException.class, () ->
+ new ExponentialDecayFunction(1d, 0d, 2));
}
- @Test(expected = IllegalArgumentException.class)
+
+ @Test
public void testPrecondition3() {
- new ExponentialDecayFunction(1d, 1d, 100);
+ assertThrows(IllegalArgumentException.class, () ->
+ new ExponentialDecayFunction(1d, 1d, 100));
}
- @Test(expected = IllegalArgumentException.class)
+
+ @Test
public void testPrecondition4() {
- new ExponentialDecayFunction(1d, 0.2, 0);
+ assertThrows(IllegalArgumentException.class, () ->
+ new ExponentialDecayFunction(1d, 0.2, 0));
}
@Test
@@ -52,4 +62,5 @@ public class ExponentialDecayFunctionTest {
Assert.assertEquals(valueAtN, f.applyAsDouble(n), 0d);
Assert.assertEquals(0, f.applyAsDouble(Long.MAX_VALUE), 0d);
}
+
}
