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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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* http://www.apache.org/licenses/LICENSE-2.0
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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package org.apache.commons.math;
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import java.util.ListResourceBundle;
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* French localization message resources for the commons-math library.
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* @version $Revision: 796546 $ $Date: 2009-07-21 17:38:55 -0400 (Tue, 21 Jul 2009) $
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public class MessagesResources_fr
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extends ListResourceBundle {
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public MessagesResources_fr() {
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* Get the non-translated/translated messages arrays from this resource bundle.
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* @return non-translated/translated messages arrays
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public Object[][] getContents() {
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return contents.clone();
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/** Non-translated/translated messages arrays. */
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private static final Object[][] contents = {
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// org.apache.commons.math.util.MathUtils
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{ "must have n >= k for binomial coefficient (n,k), got n = {0}, k = {1}",
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"n doit \u00eatre sup\u00e9rieur ou \u00e9gal \u00e0 k " +
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"pour le coefficient du bin\u00f4me (n,k), or n = {0}, k = {1}" },
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{ "must have n >= 0 for binomial coefficient (n,k), got n = {0}",
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"n doit \u00eatre positif pour le coefficient du bin\u00f4me (n,k), or n = {0}" },
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{ "must have n >= 0 for n!, got n = {0}",
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"n doit \u00eatre positif pour le calcul de n!, or n = {0}" },
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{ "overflow: gcd({0}, {1}) is 2^31",
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"d\u00e9passement de capacit\u00e9 : le PGCD de {0} et {1} vaut 2^31" },
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{ "cannot raise an integral value to a negative power ({0}^{1})",
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"impossible d''\u00e9lever une valeur enti\u00e8re " +
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"\u00e0 une puissance n\u00e9gative ({0}^{1})" },
61
{ "invalid rounding method {0}, valid methods: {1} ({2}), {3} ({4})," +
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" {5} ({6}), {7} ({8}), {9} ({10}), {11} ({12}), {13} ({14}), {15} ({16})",
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"m\u00e9thode d''arondi {0} invalide, m\u00e9thodes valides : {1} ({2}), {3} ({4})," +
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" {5} ({6}), {7} ({8}), {9} ({10}), {11} ({12}), {13} ({14}), {15} ({16})" },
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// org.apache.commons.math.FunctionEvaluationException
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{ "evaluation failed for argument = {0}",
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"erreur d''\u00e9valuation pour l''argument {0}" },
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// org.apache.commons.math.DuplicateSampleAbscissaException
71
{ "Abscissa {0} is duplicated at both indices {1} and {2}",
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"Abscisse {0} dupliqu\u00e9e aux indices {1} et {2}" },
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// org.apache.commons.math.ConvergenceException
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{ "Convergence failed",
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"\u00c9chec de convergence" },
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// org.apache.commons.math.ArgumentOutsideDomainException
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{ "Argument {0} outside domain [{1} ; {2}]",
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"Argument {0} hors du domaine [{1} ; {2}]" },
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// org.apache.commons.math.MaxIterationsExceededException
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{ "Maximal number of iterations ({0}) exceeded",
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"Nombre maximal d''it\u00e9rations ({0}) d\u00e9pass\u00e9" },
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// org.apache.commons.math.MaxEvaluationsExceededException
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{ "Maximal number of evaluations ({0}) exceeded",
88
"Nombre maximal d''\u00e9valuations ({0}) d\u00e9pass\u00e9" },
90
// org.apache.commons.math.analysis.interpolation.SplineInterpolator
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// org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
92
// org.apache.commons.math.DimensionMismatchException
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// org.apache.commons.math.optimization.LeastSquaresConverter
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// org.apache.commons.math.optimization.direct.DirectSearchOptimizer
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// org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
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// org.apache.commons.math.ode.ContinuousOutputModel
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// org.apache.commons.math.random.UncorrelatedRandomVectorGenerator
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// org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
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// org.apache.commons.math.stat.inference.ChiSquareTestImpl
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{ "dimension mismatch {0} != {1}",
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"dimensions incompatibles {0} != {1}" },
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// org.apache.commons.math.linear.decomposition.NotPositiveDefiniteMatrixException
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{ "not positive definite matrix",
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"matrice non d\u00e9finie positive" },
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// org.apache.commons.math.linear.decomposition.NotSymmetricMatrixException
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{ "not symmetric matrix",
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"matrice non symm\u00e9trique" },
111
// org.apache.commons.math.fraction.FractionConversionException
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{ "Unable to convert {0} to fraction after {1} iterations",
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"Impossible de convertir {0} en fraction apr\u00e8s {1} it\u00e9rations" },
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{ "Overflow trying to convert {0} to fraction ({1}/{2})",
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"D\u00e9passement de capacit\u00e9 lors de la conversion de {0} en fraction ({1}/{2})" },
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// org.apache.commons.math.fraction.BigFraction
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{ "numerator is null",
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"le num\u00e9rateur est null" },
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{ "denimonator is null",
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"le d\u00e9nominateur est null" },
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{ "denominator must be different from 0",
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"le d\u00e9nominateur doit \u00eatre diff\u00e9rent de 0" },
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{ "cannot convert NaN value",
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"les valeurs NaN ne peuvent \u00eatre converties" },
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{ "cannot convert infinite value",
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"les valeurs infinies ne peuvent \u00eatre converties" },
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// org.apache.commons.math.fraction.AbstractFormat
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{ "denominator format can not be null",
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"le format du d\u00e9nominateur ne doit pas \u00eatre nul" },
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{ "numerator format can not be null",
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"le format du num\u00e9rateur ne doit pas \u00eatre nul" },
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// org.apache.commons.math.fraction.FractionFormat
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{ "cannot convert given object to a fraction number: {0}",
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"impossible de convertir l''objet sous forme d''un nombre rationnel : {0}" },
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// org.apache.commons.math.fraction.FractionFormat
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// org.apache.commons.math.fraction.BigFractionFormat
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{ "unparseable fraction number: \"{0}\"",
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"\u00e9chec d''analyse du nombre rationnel \"{0}\"" },
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{ "cannot format given object as a fraction number",
144
"impossible de formater l''objet sous forme d''un nombre rationnel" },
146
// org.apache.commons.math.fraction.ProperFractionFormat
147
// org.apache.commons.math.fraction.ProperBigFractionFormat
148
{ "whole format can not be null",
149
"le format complet ne doit pas \u00eatre nul" },
151
// org.apache.commons.math.analysis.solvers.UnivariateRealSolverUtils
152
{ "function is null",
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"la fonction est nulle" },
154
{ "bad value for maximum iterations number: {0}",
155
"valeur invalide pour le nombre maximal d''it\u00e9rations : {0}" },
156
{ "invalid bracketing parameters: lower bound={0}, initial={1}, upper bound={2}",
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"param\u00e8tres d''encadrement invalides : borne inf\u00e9rieure = {0}, valeur initiale = {1}, borne sup\u00e9rieure = {2}" },
158
{ "number of iterations={0}, maximum iterations={1}, initial={2}, lower bound={3}, upper bound={4}," +
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" final a value={5}, final b value={6}, f(a)={7}, f(b)={8}",
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"nombre d''it\u00e9rations = {0}, it\u00e9rations maximum = {1}, valeur initiale = {2}," +
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" borne inf\u00e9rieure = {3}, borne sup\u00e9rieure = {4}," +
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" valeur a finale = {5}, valeur b finale = {6}, f(a) = {7}, f(b) = {8}" },
164
// org.apache.commons.math.analysis.solvers.LaguerreSolver
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{ "polynomial degree must be positive: degree={0}",
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"le polyn\u00f4me doit \u00eatre de degr\u00e9 positif : degr\u00e9 = {0}" },
168
// org.apache.commons.math.analysis.solvers.SecantSolver
169
{ "function values at endpoints do not have different signs, endpoints: [{0}, {1}], values: [{2}, {3}]",
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"les valeurs de la fonctions aux bornes sont de m\u00eame signe, bornes : [{0}, {1}], valeurs : [{2}, {3}]" },
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// org.apache.commons.math.analysis.interpolation.SplineInterpolator
173
// org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
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{ "{0} points are required, got only {1}",
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"{0} sont n\u00e9cessaires, seuls {1} ont \u00e9t\u00e9 fournis" },
177
// org.apache.commons.math.analysis.interpolation.SplineInterpolator
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{ "points {0} and {1} are not strictly increasing ({2} >= {3})",
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"les points {0} et {1} ne sont pas strictements croissants ({2} >= {3})" },
181
// org.apache.commons.math.analysis.interpolation.LoessInterpolator
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{ "bandwidth must be in the interval [0,1], but got {0}",
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"la largeur de bande doit \u00eatre dans l''intervalle [0, 1], alors qu'elle vaut {0}" },
184
{ "the number of robustness iterations must be non-negative, but got {0}",
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"le nombre d''it\u00e9rations robuste ne peut \u00eatre n\u00e9gatif, alors qu''il est de {0}" },
186
{ "Loess expects the abscissa and ordinate arrays to be of the same size, " +
187
"but got {0} abscisssae and {1} ordinatae",
188
"la r\u00e9gression Loess n\u00e9cessite autant d''abscisses que d''ordonn\u00e9es, " +
189
"mais {0} abscisses et {1} ordonn\u00e9es ont \u00e9t\u00e9 fournies" },
190
{ "Loess expects at least 1 point",
191
"la r\u00e9gression Loess n\u00e9cessite au moins un point" },
192
{ "the bandwidth must be large enough to accomodate at least 2 points. There are {0} " +
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" data points, and bandwidth must be at least {1} but it is only {2}",
194
"la largeur de bande doit \u00eatre assez grande pour supporter au moins 2 points. Il y a {0}" +
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"donn\u00e9es et la largeur de bande doit \u00eatre au moins de {1}, or elle est seulement de {2}" },
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{ "all abscissae must be finite real numbers, but {0}-th is {1}",
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"toutes les abscisses doivent \u00eatre des nombres r\u00e9els finis, mais l''abscisse {0} vaut {1}" },
198
{ "all ordinatae must be finite real numbers, but {0}-th is {1}",
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"toutes les ordonn\u00e9es doivent \u00eatre des nombres r\u00e9els finis, mais l''ordonn\u00e9e {0} vaut {1}" },
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{ "the abscissae array must be sorted in a strictly increasing order, " +
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"but the {0}-th element is {1} whereas {2}-th is {3}",
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"les abscisses doivent \u00eatre en ordre strictement croissant, " +
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"mais l''\u00e9l\u00e9ment {0} vaut {1} alors que l''\u00e9l\u00e9ment {2} vaut {3}" },
205
// org.apache.commons.math.util.ContinuedFraction
206
{ "Continued fraction convergents diverged to +/- infinity for value {0}",
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"Divergence de fraction continue \u00e0 l''infini pour la valeur {0}" },
208
{ "Continued fraction convergents failed to converge for value {0}",
209
"\u00c9chec de convergence de fraction continue pour la valeur {0}" },
211
// org.apache.commons.math.util.DefaultTransformer
212
{ "Conversion Exception in Transformation, Object is null",
213
"Exception de conversion dans une transformation, l''objet est nul" },
214
{ "Conversion Exception in Transformation: {0}",
215
"Exception de conversion dans une transformation : {0}" },
217
// org.apache.commons.math.optimization.MultiStartOptimizer
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{ "no optimum computed yet",
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"aucun optimum n''a encore \u00e9t\u00e9 calcul\u00e9" },
221
// org.apache.commons.math.optimization.direct.DirectSearchOptimizer
222
{ "simplex must contain at least one point",
223
"le simplex doit contenir au moins un point" },
224
{ "equals vertices {0} and {1} in simplex configuration",
225
"sommets {0} et {1} \u00e9gaux dans la configuration du simplex" },
227
// org.apache.commons.math.estimation.AbstractEstimation
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{ "maximal number of evaluations exceeded ({0})",
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"nombre maximal d''\u00e9valuations d\u00e9pass\u00e9 ({0})" },
231
// org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
232
{ "unable to compute covariances: singular problem",
233
"impossible de calculer les covariances : probl\u00e8me singulier"},
234
{ "no degrees of freedom ({0} measurements, {1} parameters)",
235
"aucun degr\u00e9 de libert\u00e9 ({0} mesures, {1} param\u00e8tres)" },
237
// org.apache.commons.math.optimization.general.GaussNewtonOptimizer
238
{ "unable to solve: singular problem",
239
"r\u00e9solution impossible : probl\u00e8me singulier" },
241
// org.apache.commons.math.optimization.general.LevenbergMarquardtEstimator
242
{ "cost relative tolerance is too small ({0}), no further reduction in the sum of squares is possible",
243
"trop petite tol\u00e9rance relative sur le co\u00fbt ({0}), aucune r\u00e9duction de la somme des carr\u00e9s n''est possible" },
244
{ "parameters relative tolerance is too small ({0}), no further improvement in the approximate solution is possible",
245
"trop petite tol\u00e9rance relative sur les param\u00e8tres ({0}), aucune am\u00e9lioration de la solution approximative n''est possible" },
246
{ "orthogonality tolerance is too small ({0}), solution is orthogonal to the jacobian",
247
"trop petite tol\u00e9rance sur l''orthogonalit\u00e9 ({0}), la solution est orthogonale \u00e0 la jacobienne" },
248
{ "unable to perform Q.R decomposition on the {0}x{1} jacobian matrix",
249
"impossible de calculer la factorisation Q.R de la matrice jacobienne {0}x{1}" },
251
// org.apache.commons.math.optimization.general.NonLinearConjugateGradientOptimizer
252
{ "unable to bracket optimum in line search",
253
"impossible d''encadrer l''optimum lors de la recherche lin\u00e9aire" },
255
// org.apache.commons.math.optimization.fitting.HarmonicCoefficientsGuesser
256
{ "unable to first guess the harmonic coefficients",
257
"impossible de faire une premi\u00e8re estimation des coefficients harmoniques" },
259
// org.apache.commons.math.optimization.fitting.HarmonicCoefficientsGuesser
260
{ "sample contains {0} observed points, at least {1} are required",
261
"l''\u00e9chantillon ne contient que {0} points alors qu''au moins {1} sont n\u00e9cessaires" },
263
// org.apache.commons.math.optimization.linear.NoFeasibleSolutionException
264
{ "no feasible solution",
265
"aucune solution r\u00e9alisable" },
267
// org.apache.commons.math.optimization.linear.UnboundedSolutionException
268
{ "unbounded solution",
269
"solution non born\u00e9e" },
271
// org.apache.commons.math.geometry.CardanEulerSingularityException
272
{ "Cardan angles singularity",
273
"singularit\u00e9 d''angles de Cardan" },
274
{ "Euler angles singularity",
275
"singularit\u00e9 d''angles d''Euler" },
277
// org.apache.commons.math.geometry.Rotation
278
{ "a {0}x{1} matrix cannot be a rotation matrix",
279
"une matrice {0}x{1} ne peut pas \u00eatre une matrice de rotation" },
280
{ "the closest orthogonal matrix has a negative determinant {0}",
281
"la matrice orthogonale la plus proche a un d\u00e9terminant n\u00e9gatif {0}" },
282
{ "unable to orthogonalize matrix in {0} iterations",
283
"impossible de rendre la matrice orthogonale en {0} it\u00e9rations" },
285
// org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
286
{ "minimal step size ({0}) reached, integration needs {1}",
287
"pas minimal ({0}) atteint, l''int\u00e9gration n\u00e9cessite {1}" },
288
{ "dimensions mismatch: state vector has dimension {0}," +
289
" absolute tolerance vector has dimension {1}",
290
"incompatibilit\u00e9 de dimensions entre le vecteur d''\u00e9tat ({0})," +
291
" et le vecteur de tol\u00e9rance absolue ({1})" },
292
{ "dimensions mismatch: state vector has dimension {0}," +
293
" relative tolerance vector has dimension {1}",
294
"incompatibilit\u00e9 de dimensions entre le vecteur d''\u00e9tat ({0})," +
295
" et le vecteur de tol\u00e9rance relative ({1})" },
297
// org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator,
298
// org.apache.commons.math.ode.nonstiff.RungeKuttaIntegrator
299
{ "dimensions mismatch: ODE problem has dimension {0}," +
300
" initial state vector has dimension {1}",
301
"incompatibilit\u00e9 de dimensions entre le probl\u00e8me ODE ({0})," +
302
" et le vecteur d''\u00e9tat initial ({1})" },
303
{ "dimensions mismatch: ODE problem has dimension {0}," +
304
" final state vector has dimension {1}",
305
"incompatibilit\u00e9 de dimensions entre le probl\u00e8me ODE ({0})," +
306
" et le vecteur d''\u00e9tat final ({1})" },
307
{ "too small integration interval: length = {0}",
308
"intervalle d''int\u00e9gration trop petit : {0}" },
310
// org.apache.commons.math.ode.MultistepIntegrator
311
{ "{0} method needs at least one previous point",
312
"la m\u00e9thode {0} n\u00e9cessite au moins un point pr\u00e9c\u00e9dent" },
314
// org.apache.commons.math.ode.ContinuousOutputModel
315
// org.apache.commons.math.optimization.direct.DirectSearchOptimizer
316
{ "unexpected exception caught",
317
"exception inattendue lev\u00e9e" },
318
{ "propagation direction mismatch",
319
"directions de propagation incoh\u00e9rentes" },
320
{ "{0} wide hole between models time ranges",
321
"trou de longueur {0} entre les domaines temporels des mod\u00e8les" },
323
// org.apache.commons.math.optimization.direct.DirectSearchOptimizer
324
{ "none of the {0} start points lead to convergence",
325
"aucun des {0} points de d\u00e9part n''aboutit \u00e0 une convergence" },
327
// org.apache.commons.math.random.ValueServer
328
{ "unknown mode {0}, known modes: {1} ({2}), {3} ({4}), {5} ({6}), {7} ({8}), {9} ({10}) and {11} ({12})",
329
"mode {0} inconnu, modes connus : {1} ({2}), {3} ({4}), {5} ({6}), {7} ({8}), {9} ({10}) et {11} ({12})" },
330
{ "digest not initialized",
331
"mod\u00e8le empirique non initialis\u00e9" },
333
// org.apache.commons.math.random.EmpiricalDistributionImpl
334
{ "distribution not loaded",
335
"aucune distribution n''a \u00e9t\u00e9 charg\u00e9e" },
337
"aucun compartiment s\u00e9lectionn\u00e9" },
338
{ "input data comes from unsupported datasource: {0}, supported sources: {1}, {2}",
339
"les donn\u00e9es d''entr\u00e9e proviennent " +
340
"d''une source non support\u00e9e : {0}, sources support\u00e9es : {1}, {2}" },
342
// org.apache.commons.math.random.EmpiricalDistributionImpl
343
// org.apache.commons.math.random.ValueServer
344
{ "URL {0} contains no data",
345
"l''adresse {0} ne contient aucune donn\u00e9e" },
347
// org.apache.commons.math.random.AbstractRandomGenerator
348
// org.apache.commons.math.random.BitsStreamGenerator
349
{ "upper bound must be positive ({0})",
350
"la borne sup\u00e9rieure doit \u00eatre positive ({0})" },
352
// org.apache.commons.math.random.RandomDataImpl
353
{ "length must be positive ({0})",
354
"la longueur doit \u00eatre positive ({0})" },
355
{ "upper bound ({0}) must be greater than lower bound ({1})",
356
"la borne sup\u00e9rieure ({0}) doit \u00eatre sup\u00e9rieure" +
357
" \u00e0 la borne inf\u00e9rieure ({1})" },
358
{ "permutation k ({0}) exceeds n ({1})",
359
"la permutation k ({0}) d\u00e9passe n ({1})" },
360
{ "permutation k ({0}) must be positive",
361
"la permutation k ({0}) doit \u00eatre positive" },
362
{ "sample size ({0}) exceeds collection size ({1})",
363
"la taille de l''\u00e9chantillon ({0}) d\u00e9passe la taille de la collection ({1})" },
365
// org.apache.commons.math.linear.decomposition.EigenDecompositionImpl
366
{ "cannot solve degree {0} equation",
367
"impossible de r\u00e9soudre une \u00e9quation de degr\u00e9 {0}" },
368
{ "eigen decomposition of assymetric matrices not supported yet",
369
"la d\u00e9composition en valeurs/vecteurs propres de matrices " +
370
"non sym\u00e9triques n''est pas encore disponible" },
372
// org.apache.commons.math.linear.decomposition.NonSquareMatrixException
373
// org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
374
{ "a {0}x{1} matrix was provided instead of a square matrix",
375
"une matrice {0}x{1} a \u00e9t\u00e9 fournie \u00e0 la place d''une matrice carr\u00e9e" },
377
// org.apache.commons.math.linear.decomposition.SingularMatrixException
378
{ "matrix is singular",
379
"matrice singuli\u00e8re" },
381
// org.apache.commons.math.linear.decomposition.SingularValueDecompositionImpl
382
{ "cutoff singular value is {0}, should be at most {1}",
383
"la valeur singuli\u00e8re de coupure vaut {0}, elle ne devrait pas d\u00e9passer {1}" },
385
// org.apache.commons.math.linear.decomposition.CholeskyDecompositionImpl
386
// org.apache.commons.math.linear.decomposition.EigenDecompositionImpl
387
// org.apache.commons.math.linear.decomposition.LUDecompositionImpl
388
// org.apache.commons.math.linear.decomposition.QRDecompositionImpl
389
// org.apache.commons.math.linear.decomposition.SingularValueDecompositionImpl
390
{ "dimensions mismatch: got {0}x{1} but expected {2}x{3}",
391
"dimensions erronn\u00e9es : {0}x{1} \u00e0 la place de {2}x{3}" },
393
// org.apache.commons.math.linear.decomposition.CholeskyDecompositionImpl
394
// org.apache.commons.math.linear.decomposition.EigenDecompositionImpl
395
// org.apache.commons.math.linear.decomposition.LUDecompositionImpl
396
// org.apache.commons.math.linear.decomposition.QRDecompositionImpl
397
// org.apache.commons.math.linear.decomposition.SingularValueDecompositionImpl
398
// org.apache.commons.math.linear.ArrayRealVector
399
// org.apache.commons.math.linear.SparseRealVector
400
{ "vector length mismatch: got {0} but expected {1}",
401
"dimension de vecteur erronn\u00e9e : {0} \u00e0 la place de {1}" },
403
// org.apache.commons.math.linear.ArrayRealVector
404
// org.apache.commons.math.linear.ArrayFieldVector
405
// org.apache.commons.math.linear.SparseRealVector
406
{ "index {0} out of allowed range [{1}, {2}]",
407
"index {0} hors de la plage autoris\u00e9e [{1}, {2}]" },
408
{ "vector must have at least one element",
409
"un vecteur doit comporter au moins un \u00e9l\u00e9ment" },
410
{ "position {0} and size {1} don't fit to the size of the input array {2}",
411
"la position {0} et la taille {1} sont incompatibles avec la taille du tableau d''entr\u00e9e {2}"},
413
// org.apache.commons.math.linear.AbstractRealMatrix
414
// org.apache.commons.math.linear.AbstractFieldMatrix
415
{ "invalid row dimension: {0} (must be positive)",
416
"nombre de lignes invalide : {0} (doit \u00eatre positif)" },
417
{ "invalid column dimension: {0} (must be positive)",
418
"nombre de colonnes invalide : {0} (doit \u00eatre positif)" },
419
{ "vector length mismatch: got {0} but expected {1}",
420
"taille de vecteur invalide : {0} au lieu de {1} attendue" },
421
{ "dimensions mismatch: got {0}x{1} but expected {2}x{3}",
422
"dimensions incoh\u00e9rentes : {0}x{1} \u00e0 la place de {2}x{3}" },
423
{ "matrix must have at least one row",
424
"une matrice doit comporter au moins une ligne" },
425
{ "matrix must have at least one column",
426
"une matrice doit comporter au moins une colonne" },
428
// org.apache.commons.math.linear.AbstractRealMatrix
429
// org.apache.commons.math.linear.AbstractFieldMatrix
430
// org.apache.commons.math.stat.inference.ChiSquareTestImpl
431
{ "some rows have length {0} while others have length {1}",
432
"certaines lignes ont une longueur de {0} alors que d''autres ont une longueur de {1}" },
434
// org.apache.commons.math.linear.MatrixUtils
435
{ "row index {0} out of allowed range [{1}, {2}]",
436
"index de ligne {0} hors de la plage autoris\u00e9e [{1}, {2}]" },
437
{ "column index {0} out of allowed range [{1}, {2}]",
438
"index de colonne {0} hors de la plage autoris\u00e9e [{1}, {2}]" },
439
{ "initial row {0} after final row {1}",
440
"ligne initiale {0} apr\u00e8s la ligne finale {1}" },
441
{ "initial column {0} after final column {1}",
442
"colonne initiale {0} apr\u00e8s la colonne finale {1}" },
443
{ "empty selected row index array",
444
"tableau des indices de lignes s\u00e9lectionn\u00e9es vide" },
445
{ "empty selected column index array",
446
"tableau des indices de colonnes s\u00e9lectionn\u00e9es vide" },
447
{ "{0}x{1} and {2}x{3} matrices are not addition compatible",
448
"les dimensions {0}x{1} et {2}x{3} sont incompatibles pour l'addition matricielle" },
449
{ "{0}x{1} and {2}x{3} matrices are not subtraction compatible",
450
"les dimensions {0}x{1} et {2}x{3} sont incompatibles pour la soustraction matricielle" },
451
{ "{0}x{1} and {2}x{3} matrices are not multiplication compatible",
452
"les dimensions {0}x{1} et {2}x{3} sont incompatibles pour la multiplication matricielle" },
454
// org.apache.commons.math.linear.BlockRealMatrix
455
{ "wrong array shape (block length = {0}, expected {1})",
456
"forme de tableau erron\u00e9e (bloc de longueur {0} au lieu des {1} attendus)" },
458
// org.apache.commons.math.complex.Complex
459
{ "cannot compute nth root for null or negative n: {0}",
460
"impossible de calculer la racine ni\u00e8me pour n n\u00e9gatif ou nul : {0}" },
462
// org.apache.commons.math.complex.ComplexFormat
463
{ "unparseable complex number: \"{0}\"",
464
"\u00e9chec d''analyse du nombre complexe \"{0}\"" },
465
{ "cannot format a {0} instance as a complex number",
466
"impossible de formater une instance de {0} comme un nombre complexe" },
467
{ "empty string for imaginary character",
468
"cha\u00eene vide pour le caract\u00e8 imaginaire" },
469
{ "null imaginary format",
470
"format imaginaire nul" },
471
{ "null real format",
472
"format r\u00e9el nul" },
474
// org.apache.commons.math.complex.ComplexUtils
475
{ "negative complex module {0}",
476
"module n\u00e9gatif ({0}) pour un nombre complexe" },
478
// org.apache.commons.math.geometry.Vector3DFormat
479
{ "unparseable 3D vector: \"{0}\"",
480
"\u00e9chec d''analyse du vecteur de dimension 3 \"{0}\"" },
481
{ "cannot format a {0} instance as a 3D vector",
482
"impossible de formater une instance de {0} comme un vecteur de dimension 3" },
484
// org.apache.commons.math.linear.RealVectorFormat
485
{ "unparseable real vector: \"{0}\"",
486
"\u00e9chec d''analyse du vecteur r\u00e9el \"{0}\"" },
487
{ "cannot format a {0} instance as a real vector",
488
"impossible de formater une instance de {0} comme un vecteur r\u00e9el" },
490
// org.apache.commons.math.util.ResizableDoubleArray
491
{ "the index specified: {0} is larger than the current maximal index {1}",
492
"l''index sp\u00e9cifi\u00e9 ({0}) d\u00e9passe l''index maximal courant ({1})" },
493
{ "elements cannot be retrieved from a negative array index {0}",
494
"impossible d''extraire un \u00e9l\u00e9ment \u00e0 un index n\u00e9gatif ({0})" },
495
{ "cannot set an element at a negative index {0}",
496
"impossible de mettre un \u00e9l\u00e9ment \u00e0 un index n\u00e9gatif ({0})" },
497
{ "cannot substitute an element from an empty array",
498
"impossible de substituer un \u00e9l\u00e9ment dans un tableau vide" },
499
{ "contraction criteria ({0}) smaller than the expansion factor ({1}). This would " +
500
"lead to a never ending loop of expansion and contraction as a newly expanded " +
501
"internal storage array would immediately satisfy the criteria for contraction.",
502
"crit\u00e8re de contraction ({0}) inf\u00e9rieur au facteur d''extension. Ceci " +
503
"induit une boucle infinie d''extensions/contractions car tout tableau de stockage " +
504
"fra\u00eechement \u00e9tendu respecte imm\u00e9diatement le crit\u00e8re de contraction."},
505
{ "contraction criteria smaller than one ({0}). This would lead to a never ending " +
506
"loop of expansion and contraction as an internal storage array length equal " +
507
"to the number of elements would satisfy the contraction criteria.",
508
"crit\u00e8re de contraction inf\u00e9rieur \u00e0 un ({0}). Ceci induit une boucle " +
509
"infinie d''extensions/contractions car tout tableau de stockage de longueur \u00e9gale " +
510
"au nombre d''\u00e9l\u00e9ments respecte le crit\u00e8re de contraction." },
511
{ "expansion factor smaller than one ({0})",
512
"facteur d''extension inf\u00e9rieur \u00e0 un ({0})"},
513
{ "cannot discard {0} elements from a {1} elements array",
514
"impossible d''enlever {0} \u00e9l\u00e9ments d''un tableau en contenant {1}"},
515
{ "cannot discard a negative number of elements ({0})",
516
"impossible d''enlever un nombre d''\u00e9l\u00e9ments{0} n\u00e9gatif"},
517
{ "unsupported expansion mode {0}, supported modes are {1} ({2}) and {3} ({4})",
518
"mode d''extension {0} no support\u00e9, les modes support\u00e9s sont {1} ({2}) et {3} ({4})" },
519
{ "initial capacity ({0}) is not positive",
520
"la capacit\u00e9 initiale ({0}) n''est pas positive" },
521
{ "index ({0}) is not positive",
522
"l''indice ({0}) n''est pas positif" },
524
// org.apache.commons.math.analysis.polynomials.PolynomialFunction
525
// org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm
526
{ "empty polynomials coefficients array",
527
"tableau de coefficients polyn\u00f4miaux vide" },
529
// org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm
530
{ "array sizes should have difference 1 ({0} != {1} + 1)",
531
"les tableaux devraient avoir une diff\u00e9rence de taille de 1 ({0} != {1} + 1)" },
533
// org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
534
{ "identical abscissas x[{0}] == x[{1}] == {2} cause division by zero",
535
"division par z\u00e9ro caus\u00e9e par les abscisses identiques x[{0}] == x[{1}] == {2}" },
537
// org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction
538
{ "spline partition must have at least {0} points, got {1}",
539
"une partiction spline n\u00e9cessite au moins {0} points, seuls {1} ont \u00e9t\u00e9 fournis" },
540
{ "knot values must be strictly increasing",
541
"les n\u0153uds d''interpolation doivent \u00eatre strictement croissants" },
542
{ "number of polynomial interpolants must match the number of segments ({0} != {1} - 1)",
543
"le nombre d''interpolants polyn\u00f4miaux doit correspondre au nombre de segments ({0} != {1} - 1)" },
545
// org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
546
{ "function to solve cannot be null",
547
"la fonction \u00e0 r\u00e9soudre ne peux pas \u00eatre nulle" },
548
{ "invalid interval, initial value parameters: lower={0}, initial={1}, upper={2}",
549
"param\u00e8tres de l''intervalle initial invalides : borne inf = {0}, valeur initiale = {1}, borne sup = {2}" },
551
// org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
552
// org.apache.commons.math.analysis.solvers.BrentSolver
553
{ "function values at endpoints do not have different signs. Endpoints: [{0}, {1}], Values: [{2}, {3}]",
554
"les valeurs de la fonction aux bornes n''ont pas des signes diff\u00e9rents. Bornes : [{0}, {1}], valeurs : [{2}, {3}]" },
556
// org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
557
// org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl
558
// org.apache.commons.math.transform.FastFourierTransformer
559
{ "endpoints do not specify an interval: [{0}, {1}]",
560
"les extr\u00e9mit\u00e9s ne constituent pas un intervalle : [{0}, {1}]" },
562
// org.apache.commons.math.analysis.solvers.LaguerreSolver
563
{ "function is not polynomial",
564
"la fonction n''est pas p\u00f4lynomiale" },
566
// org.apache.commons.math.analysis.solvers.NewtonSolver
567
{ "function is not differentiable",
568
"la fonction n''est pas diff\u00e9rentiable" },
570
// org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl
571
{ "invalid iteration limits: min={0}, max={1}",
572
"limites d''it\u00e9rations invalides : min = {0}, max = {1}" },
574
// org.apache.commons.math.analysis.integration.LegendreGaussIntegrator
575
{ "{0} points Legendre-Gauss integrator not supported," +
576
" number of points must be in the {1}-{2} range",
577
"int\u00e9grateur de Legendre-Gauss non support\u00e9 en {0} points, " +
578
"le nombre de points doit \u00eatre entre {1} et {2}" },
580
// org.apache.commons.math.fraction.Fraction
581
{ "zero denominator in fraction {0}/{1}",
582
"d\u00e9nominateur null dans le nombre rationnel {0}/{1}" },
583
{ "overflow in fraction {0}/{1}, cannot negate",
584
"d\u00e9passement de capacit\u00e9 pour la fraction {0}/{1}, son signe ne peut \u00eatre chang\u00e9" },
585
{ "overflow, numerator too large after multiply: {0}",
586
"d\u00e9passement de capacit\u00e9 pour le num\u00e9rateur apr\u00e8s multiplication : {0}" },
587
{ "the fraction to divide by must not be zero: {0}/{1}",
588
"division par un nombre rationnel nul : {0}/{1}" },
592
// org.apache.commons.math.geometry.Rotation
593
{ "zero norm for rotation axis",
594
"norme nulle pour un axe de rotation" },
595
{ "zero norm for rotation defining vector",
596
"norme nulle pour un axe de d\u00e9finition de rotation" },
598
// org.apache.commons.math.geometry.Vector3D
599
// org.apache.commons.math.linear.ArrayRealVector
600
{ "cannot normalize a zero norm vector",
601
"impossible de normer un vecteur de norme nulle" },
605
// org.apache.commons.math.ConvergingAlgorithmImpl
606
{ "no result available",
607
"aucun r\u00e9sultat n''est disponible" },
609
// org.apache.commons.math.linear.BigMatrixImpl
610
{ "first {0} rows are not initialized yet",
611
"les {0} premi\u00e8res lignes ne sont pas encore initialis\u00e9es" },
612
{ "first {0} columns are not initialized yet",
613
"les {0} premi\u00e8res colonnes ne sont pas encore initialis\u00e9es" },
615
// org.apache.commons.math.stat.Frequency
616
{ "class ({0}) does not implement Comparable",
617
"la classe ({0}) n''implante pas l''interface Comparable" },
618
{ "instance of class {0} not comparable to existing values",
619
"l''instance de la classe {0} n''est pas comparable aux valeurs existantes" },
621
// org.apache.commons.math.stat.StatUtils
622
{ "input arrays must have the same positive length ({0} and {1})",
623
"les tableaux d''entr\u00e9e doivent avoir la m\u00eame taille positive ({0} et {1})" },
624
{ "input arrays must have the same length and at least two elements ({0} and {1})",
625
"les tableaux d''entr\u00e9e doivent avoir la m\u00eame taille" +
626
" et au moins deux \u00e9l\u00e9ments ({0} et {1})" },
628
// org.apache.commons.math.stat.correlation.Covariance
629
{ "arrays must have the same length and both must have at " +
630
"least two elements. xArray has size {0}, yArray has {1} elements",
631
"les tableaux doivent avoir la m\u00eame taille " +
632
"et comporter au moins deux \u00e9l\u00e9ments. " +
633
"xArray a une taille de {0}, yArray a {1} \u00e9l\u00e9ments"},
634
{ "insufficient data: only {0} rows and {1} columns.",
635
"donn\u00e9es insuffisantes : seulement {0} lignes et {1} colonnes." },
637
// org.apache.commons.math.stat.correlation.PearsonsCorrelation
638
{ "covariance matrix is null",
639
"la matrice de covariance est nulle" },
640
{ "invalid array dimensions. xArray has size {0}; yArray has {1} elements",
641
"dimensions de tableaux invalides. xArray a une taille de {0}, " +
642
"yArray a {1} \u00e9l\u00e9ments" },
644
// org.apache.commons.math.stat.descriptive.DescriptiveStatistics
645
{ "window size must be positive ({0})",
646
"la taille de la fen\u00eatre doit \u00eatre positive ({0})" },
647
{ "percentile implementation {0} does not support setQuantile",
648
"l''implantation de pourcentage {0} ne dispose pas de la m\u00e9thode setQuantile" },
649
{ "cannot access setQuantile method in percentile implementation {0}",
650
"acc\u00e8s impossible \u00e0 la m\u00e9thode setQuantile" +
651
" dans l''implantation de pourcentage {0}" },
652
{ "out of bounds quantile value: {0}, must be in (0, 100]",
653
"valeur de quantile {0} hors bornes, doit \u00eatre dans l''intervalle ]0, 100]" },
655
// org.apache.commons.math.stat.descriptive.moment.Variance
656
// org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
657
// org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic
658
{ "input values array is null",
659
"le tableau des valeurs d''entr\u00e9es est nul" },
661
// org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic
662
{ "start position cannot be negative ({0})",
663
"la position de d\u00e9part ne peut pas \u00eatre n\u00e9gative" },
664
{ "length cannot be negative ({0})",
665
"la longueur ne peut pas \u00eatre n\u00e9gative" },
666
{ "subarray ends after array end",
667
"le sous-tableau se termine apr\u00e8s la fin du tableau" },
669
// org.apache.commons.math.stat.descriptive.moment.GeometricMean
670
// org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
671
// org.apache.commons.math.stat.descriptive.SummaryStatistics
672
{ "{0} values have been added before statistic is configured",
673
"{0} valeurs ont \u00e9t\u00e9 ajout\u00e9es " +
674
"avant que la statistique ne soit configur\u00e9e" },
676
// org.apache.commons.math.stat.descriptive.moment.Kurtosis
677
{ "statistics constructed from external moments cannot be incremented",
678
"les statistiques bas\u00e9es sur des moments externes " +
679
"ne peuvent pas \u00eatre incr\u00e9ment\u00e9es" },
680
{ "statistics constructed from external moments cannot be cleared",
681
"les statistiques bas\u00e9es sur des moments externes " +
682
"ne peuvent pas \u00eatre remises \u00e0 z\u00e9ro" },
684
// org.apache.commons.math.stat.inference.ChiSquareTestImpl
685
{ "expected array length = {0}, must be at least 2",
686
"le tableau des valeurs attendues a une longueur de {0}, elle devrait \u00eatre au moins de 2" },
687
{ "observed array length = {0}, must be at least 2",
688
"le tableau des valeurs observ\u00e9es a une longueur de {0}, elle devrait \u00eatre au moins de 2" },
689
{ "observed counts are all 0 in first observed array",
690
"aucune occurrence dans le premier tableau des observations" },
691
{ "observed counts are all 0 in second observed array",
692
"aucune occurrence dans le second tableau des observations" },
693
{ "observed counts are both zero for entry {0}",
694
"les occurrences observ\u00e9es sont toutes deux nulles pour l'entr\u00e9e {0}" },
695
{ "invalid row dimension: {0} (must be at least 2)",
696
"nombre de lignes invalide : {0} (doit \u00eatre au moins de 2)" },
697
{ "invalid column dimension: {0} (must be at least 2)",
698
"nombre de colonnes invalide : {0} (doit \u00eatre au moins de 2)" },
699
{ "element {0} is not positive: {1}",
700
"l''\u00e9l\u00e9ment {0} n''est pas positif : {1}" },
701
{ "element {0} is negative: {1}",
702
"l''\u00e9l\u00e9ment {0} est n\u00e9gatif : {1}" },
703
{ "element ({0}, {1}) is negative: {2}",
704
"l''\u00e9l\u00e9ment ({0}, {1}) est n\u00e9gatif : {2}" },
706
// org.apache.commons.math.stat.inference.OneWayAnovaImpl
707
{ "two or more categories required, got {0}",
708
"deux cat\u00e9gories ou plus sont n\u00e9cessaires, il y en a {0}" },
709
{ "two or more values required in each category, one has {0}",
710
"deux valeurs ou plus sont n\u00e9cessaires pour chaque cat\u00e9gorie, une cat\u00e9gorie en a {0}" },
712
// org.apache.commons.math.stat.inference.TTestImpl
713
{ "insufficient data for t statistic, needs at least 2, got {0}",
714
"deux valeurs ou plus sont n\u00e9cessaires pour la statistique t, il y en a {0}" },
716
// org.apache.commons.math.stat.inference.ChiSquareTestImpl
717
// org.apache.commons.math.stat.inference.TTestImpl
718
// org.apache.commons.math.stat.inference.OneWayAnovaImpl
719
// org.apache.commons.math.stat.Regression
720
{ "out of bounds significance level {0}, must be between {1} and {2}",
721
"niveau de signification {0} hors domaine, doit \u00eatre entre {1} et {2}" },
723
// org.apache.commons.math.stat.regression.OLSMultipleLinearRegression
724
{ "matrix is not upper-triangular, entry ({0}, {1}) = {2} is too large",
725
"matrice non triangulaire sup\u00e9rieure, l''\u00e9l\u00e9ment ({0}, {1}) = {2} est trop grand" },
727
// org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
728
{ "not enough data ({0} rows) for this many predictors ({1} predictors)",
729
"pas assez de donn\u00e9es ({0} lignes) pour {1} pr\u00e9dicteurs" },
731
// org.apache.commons.math.distribution.AbstractContinuousDistribution
732
// org.apache.commons.math.distribution.AbstractIntegerDistribution
733
// org.apache.commons.math.distribution.ExponentialDistributionImpl
734
// org.apache.commons.math.distribution.BinomialDistributionImpl
735
// org.apache.commons.math.distribution.CauchyDistributionImpl
736
// org.apache.commons.math.distribution.PascalDistributionImpl
737
// org.apache.commons.math.distribution.WeibullDistributionImpl
738
{ "{0} out of [{1}, {2}] range",
739
"{0} hors du domaine [{1}, {2}]" },
741
// org.apache.commons.math.distribution.AbstractDistribution
742
// org.apache.commons.math.distribution.AbstractIntegerDistribution
743
{ "lower endpoint ({0}) must be less than or equal to upper endpoint ({1})",
744
"la borne inf\u00e9rieure ({0}) devrait \u00eatre inf\u00e9rieure " +
745
"ou \u00e9gale \u00e0 la borne sup\u00e9rieure ({1})" },
747
// org.apache.commons.math.distribution.BinomialDistributionImpl
748
{ "number of trials must be non-negative ({0})",
749
"le nombre d''essais ne doit pas \u00eatre n\u00e9gatif ({0})" },
751
// org.apache.commons.math.distribution.ExponentialDistributionImpl
752
// org.apache.commons.math.random.RandomDataImpl
753
{ "mean must be positive ({0})",
754
"la moyenne doit \u00eatre positive ({0})" },
756
// org.apache.commons.math.distribution.FDistributionImpl
757
// org.apache.commons.math.distribution.TDistributionImpl
758
{ "degrees of freedom must be positive ({0})",
759
"les degr\u00e9s de libert\u00e9 doivent \u00eatre positifs ({0})" },
761
// org.apache.commons.math.distribution.GammaDistributionImpl
762
{ "alpha must be positive ({0})",
763
"alpha doit \u00eatre positif ({0})" },
764
{ "beta must be positive ({0})",
765
"beta doit \u00eatre positif ({0})" },
767
// org.apache.commons.math.distribution.HypergeometricDistributionImpl
768
{ "number of successes ({0}) must be less than or equal to population size ({1})",
769
"le nombre de succ\u00e8s doit \u00eatre inf\u00e9rieur " +
770
"ou \u00e9gal \u00e0 la taille de la population ({1})" },
771
{ "sample size ({0}) must be less than or equal to population size ({1})",
772
"la taille de l''\u00e9chantillon doit \u00eatre inf\u00e9rieure " +
773
"ou \u00e9gale \u00e0 la taille de la population ({1})" },
774
{ "population size must be positive ({0})",
775
"la taille de la population doit \u00eatre positive ({0})" },
777
// org.apache.commons.math.distribution.HypergeometricDistributionImpl
778
// org.apache.commons.math.random.RandomDataImpl
779
{ "sample size must be positive ({0})",
780
"la taille de l''\u00e9chantillon doit \u00eatre positive ({0})" },
782
// org.apache.commons.math.distribution.HypergeometricDistributionImpl
783
// org.apache.commons.math.distribution.PascalDistributionImpl
784
{ "number of successes must be non-negative ({0})",
785
"le nombre de succ\u00e8s ne doit pas \u00eatre n\u00e9gatif ({0})" },
787
// org.apache.commons.math.distribution.NormalDistributionImpl
788
// org.apache.commons.math.random.RandomDataImpl
789
{ "standard deviation must be positive ({0})",
790
"l''\u00e9cart type doit \u00eatre positif ({0})" },
792
// org.apache.commons.math.distribution.PoissonDistributionImpl
793
// org.apache.commons.math.random.RandomDataImpl
794
{ "the Poisson mean must be positive ({0})",
795
"la moyenne de Poisson doit \u00eatre positive ({0})" },
797
// org.apache.commons.math.distribution.WeibullDistributionImpl
798
{ "shape must be positive ({0})",
799
"le facteur de forme doit \u00eatre positif ({0})" },
801
// org.apache.commons.math.distribution.WeibullDistributionImpl
802
// org.apache.commons.math.distribution.CauchyDistributionImpl
803
{ "scale must be positive ({0})",
804
"l''\u00e9chelle doit \u00eatre positive ({0})" },
806
// org.apache.commons.math.distribution.ZipfDistributionImpl
807
{ "invalid number of elements {0} (must be positive)",
808
"nombre d''\u00e9l\u00e9ments {0} invalide (doit \u00eatre positif)" },
809
{ "invalid exponent {0} (must be positive)",
810
"exposant {0} invalide (doit \u00eatre positif)" },
812
// org.apache.commons.math.transform.FastHadamardTransformer
813
{ "{0} is not a power of 2",
814
"{0} n''est pas une puissance de 2" },
816
// org.apache.commons.math.transform.FastFourierTransformer
817
{ "cannot compute 0-th root of unity, indefinite result",
818
"impossible de calculer la racine z\u00e9roi\u00e8me de l''unit\u00e9, " +
819
"r\u00e9sultat ind\u00e9fini" },
820
{ "roots of unity have not been computed yet",
821
"les racines de l''unit\u00e9 n''ont pas encore \u00e9t\u00e9 calcul\u00e9es" },
822
{ "out of range root of unity index {0} (must be in [{1};{2}])",
823
"index de racine de l''unit\u00e9 hors domaine (devrait \u00eatre dans [{1}; {2}])" },
824
{ "number of sample is not positive: {0}",
825
"le nombre d''\u00e9chantillons n''est pas positif : {0}" },
826
{ "{0} is not a power of 2, consider padding for fix",
827
"{0} n''est pas une puissance de 2, ajoutez des \u00e9l\u00e9ments pour corriger" },
828
{ "some dimensions don't match: {0} != {1}",
829
"certaines dimensions sont incoh\u00e9rentes : {0} != {1}" },
831
// org.apache.commons.math.transform.FastCosineTransformer
832
{ "{0} is not a power of 2 plus one",
833
"{0} n''est pas une puissance de 2 plus un" },
835
// org.apache.commons.math.transform.FastSineTransformer
836
{ "first element is not 0: {0}",
837
"le premier \u00e9l\u00e9ment n''est pas nul : {0}" },
839
// org.apache.commons.math.util.OpenIntToDoubleHashMap
840
{ "map has been modified while iterating",
841
"la table d''adressage a \u00e9t\u00e9 modifi\u00e9e pendant l''it\u00e9ration" },
842
{ "iterator exhausted",
843
"it\u00e9ration achev\u00e9e" },
845
// org.apache.commons.math.MathRuntimeException
846
{ "internal error, please fill a bug report at {0}",
847
"erreur interne, veuillez signaler l''erreur \u00e0 {0}" }
added
removed
src/main/java/org/apache/commons/math/MessagesResources_fr.java
