JUnit5 assertThrows ExponentialDecayFunctionTest (#222)
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@ -20,25 +20,35 @@ package org.apache.commons.math4.neuralnet.sofm.util;
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import org.junit.Test;
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import org.junit.Assert;
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import static org.junit.jupiter.api.Assertions.assertThrows;
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/**
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* Tests for {@link ExponentialDecayFunction} class
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*/
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public class ExponentialDecayFunctionTest {
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@Test(expected = IllegalArgumentException.class)
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@Test
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public void testPrecondition1() {
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new ExponentialDecayFunction(0d, 0d, 2);
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assertThrows(IllegalArgumentException.class, () ->
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new ExponentialDecayFunction(0d, 0d, 2));
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}
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@Test(expected = IllegalArgumentException.class)
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@Test
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public void testPrecondition2() {
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new ExponentialDecayFunction(1d, 0d, 2);
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assertThrows(IllegalArgumentException.class, () ->
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new ExponentialDecayFunction(1d, 0d, 2));
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}
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@Test(expected = IllegalArgumentException.class)
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@Test
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public void testPrecondition3() {
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new ExponentialDecayFunction(1d, 1d, 100);
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assertThrows(IllegalArgumentException.class, () ->
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new ExponentialDecayFunction(1d, 1d, 100));
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}
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@Test(expected = IllegalArgumentException.class)
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@Test
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public void testPrecondition4() {
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new ExponentialDecayFunction(1d, 0.2, 0);
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assertThrows(IllegalArgumentException.class, () ->
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new ExponentialDecayFunction(1d, 0.2, 0));
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}
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@Test
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@ -52,4 +62,5 @@ public class ExponentialDecayFunctionTest {
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Assert.assertEquals(valueAtN, f.applyAsDouble(n), 0d);
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Assert.assertEquals(0, f.applyAsDouble(Long.MAX_VALUE), 0d);
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}
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}
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