improved error messages
git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/branches/MATH_2_0@712430 13f79535-47bb-0310-9956-ffa450edef68
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@ -174,6 +174,8 @@ public class MessagesResources_fr
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// org.apache.commons.math.linear.EigenDecompositionImpl
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{ "negative element on decomposed tridiagonal of {0}x{1} matrix",
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"\u00e9l\u00e9ment n\u00e9gatif dans la d\u00e9composition tri-diagonale d''une matrice {0}x{1}" },
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{ "internal error: please file a bug report at https://issues.apache.org/jira/browse/MATH",
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"erreur interne : veuillez enregistrer un rapport de bogue sur https://issues.apache.org/jira/browse/MATH" },
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// org.apache.commons.math.linear.NonSquareMatrixException
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{ "a {0}x{1} matrix was provided instead of a square matrix",
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@ -256,11 +258,51 @@ public class MessagesResources_fr
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"norme nulle pour un axe de rotation" },
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// org.apache.commons.math.geometry.Vector3D
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// org.apache.commons.math.linear.RealVectorImpl
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// org.apache.commons.math.linear.RealVectorImpl
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{ "cannot normalize a zero norm vector",
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"impossible de normer un vecteur de norme nulle" },
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{ "zero norm",
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"norme nulle" }
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"norme nulle" },
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// org.apache.commons.math.analysis.UnivariateRealIntegratorImpl
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// org.apache.commons.math.analysis.UnivariateRealSolverImpl
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{ "no result available",
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"aucun r\u00e9sultat n''est disponible" },
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// org.apache.commons.math.linear.BigMatrixImpl
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{ "first {0} rows are not initialized yet",
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"les {0} premi\u00e8res lignes ne sont pas encore initialis\u00e9es" },
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{ "first {0} columns are not initialized yet",
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"les {0} premi\u00e8res colonnes ne sont pas encore initialis\u00e9es" },
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// org.apache.commons.math.linear.EigenDecompositionImpl
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// org.apache.commons.math.linear.LUDecompositionImpl
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// org.apache.commons.math.linear.QRDecompositionImpl
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// org.apache.commons.math.linear.SingularValueDecompositionImpl
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{ "no matrix have been decomposed yet",
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"aucune matrice n''a encore \u00e9t\u00e9 d\u00e9compos\u00e9e" },
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// org.apache.commons.math.random.EmpiricalDistributionImpl
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{ "distribution not loaded",
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"aucune distribution n''a \u00e9t\u00e9 charg\u00e9e" },
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// org.apache.commons.math.random.ValueServer
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{ "unknown mode {0}, known modes: {1} ({2}), {3} ({4}), {5} ({6}), {7} ({8}), {9} ({10}) and {11} ({12})",
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"mode {0} inconnu, modes connus : {1} ({2}), {3} ({4}), {5} ({6}), {7} ({8}), {9} ({10}) et {11} ({12})" },
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{ "digest not initialized",
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"mod\u00e8le empirique non initialis\u00e9" },
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// org.apache.commons.math.stat.descriptive.moment.GeometricMean
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// org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
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// org.apache.commons.math.stat.descriptive.SummaryStatistics
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{ "{0} values have been added before statistic is configured",
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"{0} valeurs ont \u00e9t\u00e9 ajout\u00e9es avant que la statistique ne soit configur\u00e9e" },
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// org.apache.commons.math.stat.descriptive.moment.Kurtosis
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{ "statistics constructed from external moments cannot be incremented",
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"les statistiques bas\u00e9es sur des moments externes ne peuvent pas \u00eatre incr\u00e9ment\u00e9es" },
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{ "statistics constructed from external moments cannot be cleared",
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"les statistiques bas\u00e9es sur des moments externes ne peuvent pas \u00eatre remises \u00e0 z\u00e9ro" }
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};
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@ -18,6 +18,8 @@ package org.apache.commons.math.analysis;
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import java.io.Serializable;
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import org.apache.commons.math.MathRuntimeException;
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/**
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* Provide a default implementation for several generic functions.
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*
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@ -99,7 +101,7 @@ public abstract class UnivariateRealIntegratorImpl implements
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if (resultComputed) {
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return result;
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} else {
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throw new IllegalStateException("No result available.");
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throw MathRuntimeException.createIllegalStateException("no result available", null);
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}
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}
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@ -113,7 +115,7 @@ public abstract class UnivariateRealIntegratorImpl implements
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if (resultComputed) {
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return iterationCount;
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} else {
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throw new IllegalStateException("No result available.");
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throw MathRuntimeException.createIllegalStateException("no result available", null);
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}
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}
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@ -20,6 +20,7 @@ package org.apache.commons.math.analysis;
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import java.io.Serializable;
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import org.apache.commons.math.FunctionEvaluationException;
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import org.apache.commons.math.MathRuntimeException;
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/**
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* Provide a default implementation for several functions useful to generic
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@ -111,7 +112,7 @@ public abstract class UnivariateRealSolverImpl implements UnivariateRealSolver,
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if (resultComputed) {
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return result;
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} else {
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throw new IllegalStateException("No result available");
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throw MathRuntimeException.createIllegalStateException("no result available", null);
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}
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}
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@ -126,7 +127,7 @@ public abstract class UnivariateRealSolverImpl implements UnivariateRealSolver,
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if (resultComputed) {
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return iterationCount;
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} else {
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throw new IllegalStateException("No result available");
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throw MathRuntimeException.createIllegalStateException("no result available", null);
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}
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}
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@ -19,6 +19,8 @@ package org.apache.commons.math.linear;
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import java.io.Serializable;
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import java.math.BigDecimal;
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import org.apache.commons.math.MathRuntimeException;
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/**
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* Implementation of {@link BigMatrix} using a BigDecimal[][] array to store entries
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* and <a href="http://www.math.gatech.edu/~bourbaki/math2601/Web-notes/2num.pdf">
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@ -697,8 +699,13 @@ public class BigMatrixImpl implements BigMatrix, Serializable {
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}
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if (data == null) {
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if ((row > 0) || (column > 0)) {
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throw new IllegalStateException("matrix must be initialized to perform this method");
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if (row > 0) {
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throw MathRuntimeException.createIllegalStateException("first {0} rows are not initialized yet",
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new Object[] { row });
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}
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if (column > 0) {
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throw MathRuntimeException.createIllegalStateException("first {0} columns are not initialized yet",
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new Object[] { column });
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}
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data = new BigDecimal[nRows][nCols];
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System.arraycopy(subMatrix, 0, data, 0, subMatrix.length);
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@ -17,6 +17,8 @@
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package org.apache.commons.math.linear;
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import org.apache.commons.math.MathRuntimeException;
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/**
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* Calculates the LUP-decomposition of a square matrix.
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* <p>The LUP-decomposition of a matrix A consists of three matrices
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@ -431,7 +433,7 @@ public class LUDecompositionImpl implements LUDecomposition {
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private void checkDecomposed()
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throws IllegalStateException {
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if (lu == null) {
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throw new IllegalStateException("no matrix have been decomposed yet");
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throw MathRuntimeException.createIllegalStateException("no matrix have been decomposed yet", null);
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}
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}
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@ -17,6 +17,8 @@
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package org.apache.commons.math.linear;
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import org.apache.commons.math.MathRuntimeException;
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/**
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* Calculates the QR-decomposition of a matrix.
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* <p>The QR-decomposition of a matrix A consists of two matrices Q and R
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@ -443,7 +445,7 @@ public class QRDecompositionImpl implements QRDecomposition {
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private void checkDecomposed()
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throws IllegalStateException {
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if (qrt == null) {
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throw new IllegalStateException("no matrix have been decomposed yet");
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throw MathRuntimeException.createIllegalStateException("no matrix have been decomposed yet", null);
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}
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}
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@ -18,6 +18,8 @@
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package org.apache.commons.math.linear;
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import java.io.Serializable;
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import org.apache.commons.math.MathRuntimeException;
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import org.apache.commons.math.util.MathUtils;
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@ -488,8 +490,13 @@ public class RealMatrixImpl implements RealMatrix, Serializable {
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}
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if (data == null) {
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if ((row > 0) || (column > 0)) {
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throw new IllegalStateException("matrix must be initialized to perform this method");
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if (row > 0) {
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throw MathRuntimeException.createIllegalStateException("first {0} rows are not initialized yet",
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new Object[] { row });
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}
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if (column > 0) {
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throw MathRuntimeException.createIllegalStateException("first {0} columns are not initialized yet",
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new Object[] { column });
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}
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data = new double[nRows][nCols];
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System.arraycopy(subMatrix, 0, data, 0, subMatrix.length);
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@ -413,7 +413,8 @@ public class EmpiricalDistributionImpl implements Serializable, EmpiricalDistrib
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public double getNextValue() throws IllegalStateException {
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if (!loaded) {
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throw new IllegalStateException("distribution not loaded");
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throw MathRuntimeException.createIllegalStateException("distribution not loaded",
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null);
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}
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// Start with a uniformly distributed random number in (0,1)
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@ -106,8 +106,18 @@ public class ValueServer {
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case EXPONENTIAL_MODE: return getNextExponential();
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case GAUSSIAN_MODE: return getNextGaussian();
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case CONSTANT_MODE: return mu;
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default: throw new IllegalStateException
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("Bad mode: " + mode);
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default: throw MathRuntimeException.createIllegalStateException("unknown mode {0}, known modes: " +
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"{1} ({2}), {3} ({4}), {5} ({6}), " +
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"{7} ({8}), {9} ({10}) and {11} ({12})",
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new Object[] {
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mode,
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"DIGEST_MODE", DIGEST_MODE,
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"REPLAY_MODE", REPLAY_MODE,
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"UNIFORM_MODE", UNIFORM_MODE,
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"EXPONENTIAL_MODE", EXPONENTIAL_MODE,
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"GAUSSIAN_MODE", GAUSSIAN_MODE,
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"CONSTANT_MODE", CONSTANT_MODE
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});
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}
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}
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@ -296,7 +306,7 @@ public class ValueServer {
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private double getNextDigest() {
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if ((empiricalDistribution == null) ||
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(empiricalDistribution.getBinStats().size() == 0)) {
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throw new IllegalStateException("Digest not initialized");
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throw MathRuntimeException.createIllegalStateException("digest not initialized", null);
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}
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return empiricalDistribution.getNextValue();
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}
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@ -20,6 +20,7 @@ import java.io.Serializable;
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import java.util.Arrays;
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import org.apache.commons.math.DimensionMismatchException;
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import org.apache.commons.math.MathRuntimeException;
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import org.apache.commons.math.linear.RealMatrix;
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import org.apache.commons.math.stat.descriptive.moment.GeometricMean;
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import org.apache.commons.math.stat.descriptive.moment.Mean;
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@ -609,8 +610,8 @@ public class MultivariateSummaryStatistics
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*/
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private void checkEmpty() {
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if (n > 0) {
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throw new IllegalStateException(
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"Implementations must be configured before values are added.");
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throw MathRuntimeException.createIllegalStateException("{0} values have been added before statistic is configured",
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new Object[] { n });
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}
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}
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import java.io.Serializable;
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import org.apache.commons.math.MathRuntimeException;
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import org.apache.commons.math.stat.descriptive.moment.GeometricMean;
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import org.apache.commons.math.stat.descriptive.moment.Mean;
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import org.apache.commons.math.stat.descriptive.moment.SecondMoment;
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@ -599,7 +600,8 @@ public class SummaryStatistics implements StatisticalSummary, Serializable {
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*/
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private void checkEmpty() {
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if (n > 0) {
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throw new IllegalStateException("Implementations must be configured before values are added.");
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throw MathRuntimeException.createIllegalStateException("{0} values have been added before statistic is configured",
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new Object[] { n });
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}
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}
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@ -16,6 +16,7 @@
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*/
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package org.apache.commons.math.stat.descriptive.moment;
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import org.apache.commons.math.MathRuntimeException;
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import org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic;
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import org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic;
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import org.apache.commons.math.stat.descriptive.summary.SumOfLogs;
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@ -152,8 +153,8 @@ public class GeometricMean extends AbstractStorelessUnivariateStatistic {
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*/
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private void checkEmpty() {
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if (getN() > 0) {
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throw new IllegalStateException(
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"Implementation must be configured before values are added.");
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throw MathRuntimeException.createIllegalStateException("{0} values have been added before statistic is configured",
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new Object[] { getN() });
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}
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}
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*/
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package org.apache.commons.math.stat.descriptive.moment;
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import org.apache.commons.math.MathRuntimeException;
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import org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic;
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/**
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@ -79,8 +80,9 @@ public class Kurtosis extends AbstractStorelessUnivariateStatistic {
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if (incMoment) {
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moment.increment(d);
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} else {
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throw new IllegalStateException
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("Statistics constructed from external moments cannot be incremented");
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throw MathRuntimeException.createIllegalStateException("statistics constructed from external " +
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"moments cannot be incremented",
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null);
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}
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}
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if (incMoment) {
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moment.clear();
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} else {
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throw new IllegalStateException
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("Statistics constructed from external moments cannot be cleared");
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throw MathRuntimeException.createIllegalStateException("statistics constructed from external " +
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"moments cannot be cleared",
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null);
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}
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}
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