Tidy throws clauses

git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@1197481 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Sebastian Bazley 2011-11-04 10:13:15 +00:00
parent 76a6378464
commit 2a2a74e9d5
9 changed files with 22 additions and 31 deletions

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@ -18,7 +18,6 @@ package org.apache.commons.math.analysis.integration;
import java.util.Random;
import org.apache.commons.math.MathException;
import org.apache.commons.math.analysis.QuinticFunction;
import org.apache.commons.math.analysis.SinFunction;
import org.apache.commons.math.analysis.UnivariateRealFunction;
@ -32,7 +31,7 @@ import org.junit.Test;
public class LegendreGaussIntegratorTest {
@Test
public void testSinFunction() throws MathException {
public void testSinFunction() {
UnivariateRealFunction f = new SinFunction();
UnivariateRealIntegratorImpl integrator = new LegendreGaussIntegrator(5, 1.0e-14, 1.0e-10, 2, 15);
double min, max, expected, result, tolerance;
@ -51,7 +50,7 @@ public class LegendreGaussIntegratorTest {
}
@Test
public void testQuinticFunction() throws MathException {
public void testQuinticFunction() {
UnivariateRealFunction f = new QuinticFunction();
UnivariateRealIntegrator integrator =
new LegendreGaussIntegrator(3,

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@ -16,7 +16,6 @@
*/
package org.apache.commons.math.analysis.integration;
import org.apache.commons.math.MathException;
import org.apache.commons.math.analysis.QuinticFunction;
import org.apache.commons.math.analysis.SinFunction;
import org.apache.commons.math.analysis.UnivariateRealFunction;
@ -42,7 +41,7 @@ public final class RombergIntegratorTest {
* Test of integrator for the sine function.
*/
@Test
public void testSinFunction() throws MathException {
public void testSinFunction() {
UnivariateRealFunction f = new SinFunction();
UnivariateRealIntegrator integrator = new RombergIntegrator();
double min, max, expected, result, tolerance;
@ -66,7 +65,7 @@ public final class RombergIntegratorTest {
* Test of integrator for the quintic function.
*/
@Test
public void testQuinticFunction() throws MathException {
public void testQuinticFunction() {
UnivariateRealFunction f = new QuinticFunction();
UnivariateRealIntegrator integrator = new RombergIntegrator();
double min, max, expected, result, tolerance;

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@ -16,7 +16,6 @@
*/
package org.apache.commons.math.analysis.integration;
import org.apache.commons.math.MathException;
import org.apache.commons.math.analysis.QuinticFunction;
import org.apache.commons.math.analysis.SinFunction;
import org.apache.commons.math.analysis.UnivariateRealFunction;
@ -41,7 +40,7 @@ public final class SimpsonIntegratorTest {
* Test of integrator for the sine function.
*/
@Test
public void testSinFunction() throws MathException {
public void testSinFunction() {
UnivariateRealFunction f = new SinFunction();
UnivariateRealIntegrator integrator = new SimpsonIntegrator();
double min, max, expected, result, tolerance;
@ -65,7 +64,7 @@ public final class SimpsonIntegratorTest {
* Test of integrator for the quintic function.
*/
@Test
public void testQuinticFunction() throws MathException {
public void testQuinticFunction() {
UnivariateRealFunction f = new QuinticFunction();
UnivariateRealIntegrator integrator = new SimpsonIntegrator();
double min, max, expected, result, tolerance;

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@ -16,7 +16,6 @@
*/
package org.apache.commons.math.analysis.integration;
import org.apache.commons.math.MathException;
import org.apache.commons.math.analysis.QuinticFunction;
import org.apache.commons.math.analysis.SinFunction;
import org.apache.commons.math.analysis.UnivariateRealFunction;
@ -41,7 +40,7 @@ public final class TrapezoidIntegratorTest {
* Test of integrator for the sine function.
*/
@Test
public void testSinFunction() throws MathException {
public void testSinFunction() {
UnivariateRealFunction f = new SinFunction();
UnivariateRealIntegrator integrator = new TrapezoidIntegrator();
double min, max, expected, result, tolerance;
@ -65,7 +64,7 @@ public final class TrapezoidIntegratorTest {
* Test of integrator for the quintic function.
*/
@Test
public void testQuinticFunction() throws MathException {
public void testQuinticFunction() {
UnivariateRealFunction f = new QuinticFunction();
UnivariateRealIntegrator integrator = new TrapezoidIntegrator();
double min, max, expected, result, tolerance;

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@ -16,13 +16,12 @@
*/
package org.apache.commons.math.distribution;
import org.apache.commons.math.MathException;
import org.junit.Assert;
import org.junit.Test;
public class BetaDistributionTest {
@Test
public void testCumulative() throws MathException {
public void testCumulative() {
double[] x = new double[]{-0.1, 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1};
// all test data computed using R 2.5
checkCumulative(0.1, 0.1,
@ -141,7 +140,7 @@ public class BetaDistributionTest {
}
private void checkCumulative(double alpha, double beta, double[] x, double[] cumes) throws MathException {
private void checkCumulative(double alpha, double beta, double[] x, double[] cumes) {
BetaDistribution d = new BetaDistributionImpl(alpha, beta);
for (int i = 0; i < x.length; i++) {
Assert.assertEquals(cumes[i], d.cumulativeProbability(x[i]), 1e-8);

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@ -17,7 +17,6 @@
package org.apache.commons.math.distribution;
import org.apache.commons.math.MathException;
import org.apache.commons.math.exception.NotStrictlyPositiveException;
import org.junit.Assert;
import org.junit.Test;
@ -180,7 +179,7 @@ public class NormalDistributionTest extends ContinuousDistributionAbstractTest
}
@Test
public void testMath280() throws MathException {
public void testMath280() {
NormalDistribution normal = new NormalDistributionImpl(0,1);
double result = normal.inverseCumulativeProbability(0.9986501019683698);
Assert.assertEquals(3.0, result, defaultTolerance);

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@ -19,7 +19,6 @@ package org.apache.commons.math.distribution;
import org.apache.commons.math.exception.NotStrictlyPositiveException;
import org.junit.Assert;
import org.junit.Test;
import org.apache.commons.math.MathException;
import org.apache.commons.math.TestUtils;
/**
* Test cases for TDistribution.
@ -144,7 +143,7 @@ public class TDistributionTest extends ContinuousDistributionAbstractTest {
* Have chosen problevels from 0.10 to 0.001
*/
@Test
public void nistData() throws MathException{
public void nistData(){
double[] prob = new double[]{ 0.10,0.05,0.025,0.01,0.005,0.001};
double[] args2 = new double[]{1.886,2.920,4.303,6.965,9.925,22.327};
double[] args10 = new double[]{1.372,1.812,2.228,2.764,3.169,4.143};
@ -156,7 +155,7 @@ public class TDistributionTest extends ContinuousDistributionAbstractTest {
TestUtils.assertEquals(prob, makeNistResults(args100, 100), 1.0e-4);
return;
}
private double[] makeNistResults(double[] args, int df) throws MathException{
private double[] makeNistResults(double[] args, int df){
TDistribution td = new TDistributionImpl(df);
double[] res = new double[ args.length ];
for( int i = 0 ; i < res.length ; i++){

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@ -20,7 +20,6 @@ package org.apache.commons.math.fraction;
import java.math.BigDecimal;
import java.math.BigInteger;
import java.text.NumberFormat;
import java.text.ParseException;
import java.util.Locale;
import org.apache.commons.math.exception.MathParseException;
@ -269,7 +268,7 @@ public class BigFractionFormatTest {
}
@Test
public void testParseBig() throws ParseException {
public void testParseBig() {
BigFraction f1 =
improperFormat.parse("167213075789791382630275400487886041651764456874403" +
" / " +

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@ -18,7 +18,6 @@ package org.apache.commons.math.stat.regression;
import org.apache.commons.math.linear.RealMatrix;
import org.apache.commons.math.stat.correlation.PearsonsCorrelation;
import org.apache.commons.math.MathException;
import org.apache.commons.math.TestUtils;
import org.apache.commons.math.util.FastMath;
import org.junit.Test;
@ -233,7 +232,7 @@ public class MillerUpdatingRegressionTest {
}
@Test
public void testFilippelli() throws MathException {
public void testFilippelli() {
double[] data = new double[]{
0.8116, -6.860120914,
0.9072, -4.324130045,
@ -385,7 +384,7 @@ public class MillerUpdatingRegressionTest {
}
@Test
public void testWampler1() throws MathException {
public void testWampler1() {
double[] data = new double[]{
1, 0,
6, 1,
@ -445,7 +444,7 @@ public class MillerUpdatingRegressionTest {
}
@Test
public void testWampler2() throws MathException {
public void testWampler2() {
double[] data = new double[]{
1.00000, 0,
1.11111, 1,
@ -504,7 +503,7 @@ public class MillerUpdatingRegressionTest {
}
@Test
public void testWampler3() throws MathException {
public void testWampler3() {
double[] data = new double[]{
760, 0,
-2042, 1,
@ -561,7 +560,7 @@ public class MillerUpdatingRegressionTest {
}
//@Test
public void testWampler4() throws MathException {
public void testWampler4() {
double[] data = new double[]{
75901, 0,
-204794, 1,
@ -759,7 +758,7 @@ public class MillerUpdatingRegressionTest {
// }
@Test
public void testOneRedundantColumn() throws MathException {
public void testOneRedundantColumn() {
MillerUpdatingRegression instance = new MillerUpdatingRegression(4, false);
MillerUpdatingRegression instance2 = new MillerUpdatingRegression(5, false);
double[][] x = new double[airdata[0].length][];
@ -822,7 +821,7 @@ public class MillerUpdatingRegressionTest {
}
@Test
public void testThreeRedundantColumn() throws MathException {
public void testThreeRedundantColumn() {
MillerUpdatingRegression instance = new MillerUpdatingRegression(4, false);
MillerUpdatingRegression instance2 = new MillerUpdatingRegression(7, false);
@ -1061,7 +1060,7 @@ public class MillerUpdatingRegressionTest {
@Test
public void testSubsetRegression() throws MathException {
public void testSubsetRegression() {
MillerUpdatingRegression instance = new MillerUpdatingRegression(3, true);
MillerUpdatingRegression redRegression = new MillerUpdatingRegression(2, true);