001    /*
002     * Licensed to the Apache Software Foundation (ASF) under one or more
003     * contributor license agreements.  See the NOTICE file distributed with
004     * this work for additional information regarding copyright ownership.
005     * The ASF licenses this file to You under the Apache License, Version 2.0
006     * (the "License"); you may not use this file except in compliance with
007     * the License.  You may obtain a copy of the License at
008     *
009     *      http://www.apache.org/licenses/LICENSE-2.0
010     *
011     * Unless required by applicable law or agreed to in writing, software
012     * distributed under the License is distributed on an "AS IS" BASIS,
013     * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
014     * See the License for the specific language governing permissions and
015     * limitations under the License.
016     */
017    
018    package org.apache.commons.math;
019    
020    import java.util.ListResourceBundle;
021    
022    /**
023     * French localization message resources for the commons-math library.
024     * @version $Revision: 927009 $ $Date: 2010-03-24 07:14:07 -0400 (Wed, 24 Mar 2010) $
025     * @since 1.2
026     */
027    public class MessagesResources_fr
028      extends ListResourceBundle {
029    
030      /** Non-translated/translated messages arrays. */
031      private static final Object[][] CONTENTS = {
032    
033        // org.apache.commons.math.util.MathUtils
034        { "must have n >= k for binomial coefficient (n,k), got n = {0}, k = {1}",
035          "n doit \u00eatre sup\u00e9rieur ou \u00e9gal \u00e0 k " +
036          "pour le coefficient du bin\u00f4me (n,k), or n = {0}, k = {1}" },
037        { "must have n >= 0 for binomial coefficient (n,k), got n = {0}",
038          "n doit \u00eatre positif pour le coefficient du bin\u00f4me (n,k), or n = {0}" },
039        { "must have n >= 0 for n!, got n = {0}",
040          "n doit \u00eatre positif pour le calcul de n!, or n = {0}" },
041        { "overflow: gcd({0}, {1}) is 2^31",
042          "d\u00e9passement de capacit\u00e9 : le PGCD de {0} et {1} vaut 2^31" },
043        { "overflow: gcd({0}, {1}) is 2^63",
044          "d\u00e9passement de capacit\u00e9 : le PGCD de {0} et {1} vaut 2^63" },
045        { "overflow: lcm({0}, {1}) is 2^31",
046          "d\u00e9passement de capacit\u00e9 : le MCM de {0} et {1} vaut 2^31" },
047        { "overflow: lcm({0}, {1}) is 2^63",
048          "d\u00e9passement de capacit\u00e9 : le MCM de {0} et {1} vaut 2^63" },
049        { "cannot raise an integral value to a negative power ({0}^{1})",
050          "impossible d''\u00e9lever une valeur enti\u00e8re " +
051          "\u00e0 une puissance n\u00e9gative ({0}^{1})" },
052        { "invalid rounding method {0}, valid methods: {1} ({2}), {3} ({4}), {5} ({6}), {7} ({8}), {9} ({10}), {11} ({12}), {13} ({14}), {15} ({16})",
053          "m\u00e9thode d''arondi {0} invalide, m\u00e9thodes valides : {1} ({2}), {3} ({4}), {5} ({6}), {7} ({8}), {9} ({10}), {11} ({12}), {13} ({14}), {15} ({16})" },
054        { "Cannot normalize to an infinite value",
055          "impossible de normaliser vers une valeur infinie" },
056        { "Cannot normalize to NaN",
057          "impossible de normaliser vers NaN" },
058        { "Array contains an infinite element, {0} at index {1}",
059          "le tableau contient l''\u00e9l\u00e9ment infini {0} \u00e0 l''index {1}" },
060    
061        // org.apache.commons.math.FunctionEvaluationException
062        { "evaluation failed for argument = {0}",
063          "erreur d''\u00e9valuation pour l''argument {0}" },
064    
065        // org.apache.commons.math.DuplicateSampleAbscissaException
066        { "Abscissa {0} is duplicated at both indices {1} and {2}",
067          "Abscisse {0} dupliqu\u00e9e aux indices {1} et {2}" },
068    
069        // org.apache.commons.math.ConvergenceException
070        { "Convergence failed",
071          "\u00c9chec de convergence" },
072    
073        // org.apache.commons.math.ArgumentOutsideDomainException
074        { "Argument {0} outside domain [{1} ; {2}]",
075          "Argument {0} hors du domaine [{1} ; {2}]" },
076    
077        // org.apache.commons.math.MaxIterationsExceededException
078        { "Maximal number of iterations ({0}) exceeded",
079          "Nombre maximal d''it\u00e9rations ({0}) d\u00e9pass\u00e9" },
080    
081        // org.apache.commons.math.MaxEvaluationsExceededException
082        { "Maximal number of evaluations ({0}) exceeded",
083          "Nombre maximal d''\u00e9valuations ({0}) d\u00e9pass\u00e9" },
084    
085        // org.apache.commons.math.analysis.interpolation.SplineInterpolator
086        // org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
087        // org.apache.commons.math.DimensionMismatchException
088        // org.apache.commons.math.optimization.LeastSquaresConverter
089        // org.apache.commons.math.optimization.direct.DirectSearchOptimizer
090        // org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
091        // org.apache.commons.math.ode.ContinuousOutputModel
092        // org.apache.commons.math.random.UncorrelatedRandomVectorGenerator
093        // org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
094        // org.apache.commons.math.stat.inference.ChiSquareTestImpl
095        // org.apache.commons.math.analysis.interpolation.MicrosphereInterpolatingFunction
096        { "dimension mismatch {0} != {1}",
097          "dimensions incompatibles {0} != {1}" },
098    
099        // org.apache.commons.math.analysis.interpolation.MicrosphereInterpolatingFunction
100        { "no data",
101          "aucune donn\u00e9e" },
102    
103        // org.apache.commons.math.analysis.interpolation.MicrosphereInterpolator
104        { "brightness exponent should be positive or null, but got {0}",
105          "l''exposant de brillance devrait \u00eatre positif ou null, or e = {0}" },
106        { "number of microsphere elements must be positive, but got {0}",
107          "le nombre d''\u00e9l\u00e9ments de la microsph\u00e8re devrait \u00eatre positif, or n = {0}" },
108    
109       // org.apache.commons.math.linear.decomposition.NotPositiveDefiniteMatrixException
110        { "not positive definite matrix",
111          "matrice non d\u00e9finie positive" },
112    
113        // org.apache.commons.math.linear.decomposition.NotSymmetricMatrixException
114        { "not symmetric matrix",
115          "matrice non symm\u00e9trique" },
116    
117        // org.apache.commons.math.fraction.FractionConversionException
118        { "Unable to convert {0} to fraction after {1} iterations",
119          "Impossible de convertir {0} en fraction apr\u00e8s {1} it\u00e9rations" },
120        { "Overflow trying to convert {0} to fraction ({1}/{2})",
121          "D\u00e9passement de capacit\u00e9 lors de la conversion de {0} en fraction ({1}/{2})" },
122    
123        // org.apache.commons.math.fraction.BigFraction
124        { "numerator is null",
125          "le num\u00e9rateur est null" },
126        { "denimonator is null",
127          "le d\u00e9nominateur est null" },
128        { "denominator must be different from 0",
129          "le d\u00e9nominateur doit \u00eatre diff\u00e9rent de 0" },
130        { "cannot convert NaN value",
131          "les valeurs NaN ne peuvent \u00eatre converties" },
132        { "cannot convert infinite value",
133          "les valeurs infinies ne peuvent \u00eatre converties" },
134    
135        // org.apache.commons.math.fraction.AbstractFormat
136        { "denominator format can not be null",
137          "le format du d\u00e9nominateur ne doit pas \u00eatre nul" },
138        { "numerator format can not be null",
139          "le format du num\u00e9rateur ne doit pas \u00eatre nul" },
140    
141        // org.apache.commons.math.fraction.FractionFormat
142        { "cannot convert given object to a fraction number: {0}",
143          "impossible de convertir l''objet sous forme d''un nombre rationnel : {0}" },
144    
145        // org.apache.commons.math.fraction.FractionFormat
146        // org.apache.commons.math.fraction.BigFractionFormat
147        { "unparseable fraction number: \"{0}\"",
148          "\u00e9chec d''analyse du nombre rationnel \"{0}\"" },
149        { "cannot format given object as a fraction number",
150          "impossible de formater l''objet sous forme d''un nombre rationnel" },
151    
152        // org.apache.commons.math.fraction.ProperFractionFormat
153        // org.apache.commons.math.fraction.ProperBigFractionFormat
154        { "whole format can not be null",
155          "le format complet ne doit pas \u00eatre nul" },
156    
157        // org.apache.commons.math.analysis.solvers.UnivariateRealSolverUtils
158        { "function is null",
159          "la fonction est nulle" },
160        { "bad value for maximum iterations number: {0}",
161          "valeur invalide pour le nombre maximal d''it\u00e9rations : {0}" },
162        { "invalid bracketing parameters:  lower bound={0},  initial={1}, upper bound={2}",
163          "param\u00e8tres d''encadrement invalides : borne inf\u00e9rieure = {0}, valeur initiale = {1}, borne sup\u00e9rieure = {2}" },
164        { "number of iterations={0}, maximum iterations={1}, initial={2}, lower bound={3}, upper bound={4}," +
165            " final a value={5}, final b value={6}, f(a)={7}, f(b)={8}",
166          "nombre d''it\u00e9rations = {0}, it\u00e9rations maximum = {1}, valeur initiale = {2}," +
167            " borne inf\u00e9rieure = {3}, borne sup\u00e9rieure = {4}," +
168            " valeur a finale = {5}, valeur b finale = {6}, f(a) = {7}, f(b) = {8}" },
169    
170        // org.apache.commons.math.analysis.solvers.LaguerreSolver
171        { "polynomial degree must be positive: degree={0}",
172          "le polyn\u00f4me doit \u00eatre de degr\u00e9 positif : degr\u00e9 = {0}" },
173    
174        // org.apache.commons.math.analysis.solvers.SecantSolver
175        { "function values at endpoints do not have different signs, endpoints: [{0}, {1}], values: [{2}, {3}]",
176          "les valeurs de la fonctions aux bornes sont de m\u00eame signe, bornes : [{0}, {1}], valeurs : [{2}, {3}]" },
177    
178        // org.apache.commons.math.analysis.interpolation.SplineInterpolator
179        // org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
180        { "{0} points are required, got only {1}",
181          "{0} sont n\u00e9cessaires, seuls {1} ont \u00e9t\u00e9 fournis" },
182    
183        // org.apache.commons.math.analysis.interpolation.SplineInterpolator
184        { "points {0} and {1} are not strictly increasing ({2} >= {3})",
185          "les points {0} et {1} ne sont pas strictement croissants ({2} >= {3})" },
186        { "points {0} and {1} are not strictly decreasing ({2} <= {3})",
187          "les points {0} et {1} ne sont pas strictement d\u00e9croissants ({2} <= {3})" },
188        { "points {0} and {1} are not increasing ({2} > {3})",
189          "les points {0} et {1} ne sont pas croissants ({2} > {3})" },
190        { "points {0} and {1} are not decreasing ({2} < {3})",
191          "les points {0} et {1} ne sont pas d\u00e9croissants ({2} < {3})" },
192    
193        // org.apache.commons.math.analysis.interpolation.LoessInterpolator
194        { "bandwidth must be in the interval [0,1], but got {0}",
195          "la largeur de bande doit \u00eatre dans l''intervalle [0, 1], alors qu'elle vaut {0}" },
196        { "the number of robustness iterations must be non-negative, but got {0}",
197          "le nombre d''it\u00e9rations robuste ne peut \u00eatre n\u00e9gatif, alors qu''il est de {0}" },
198        { "Loess expects the abscissa and ordinate arrays to be of the same size, " +
199          "but got {0} abscissae and {1} ordinatae",
200          "la r\u00e9gression Loess n\u00e9cessite autant d''abscisses que d''ordonn\u00e9es, " +
201          "mais {0} abscisses et {1} ordonn\u00e9es ont \u00e9t\u00e9 fournies" },
202        { "Loess expects at least 1 point",
203          "la r\u00e9gression Loess n\u00e9cessite au moins un point" },
204        { "the bandwidth must be large enough to accomodate at least 2 points. There are {0} " +
205          " data points, and bandwidth must be at least {1}  but it is only {2}",
206          "la largeur de bande doit \u00eatre assez grande pour supporter au moins 2 points. Il y a {0}" +
207          "donn\u00e9es et la largeur de bande doit \u00eatre au moins de {1}, or elle est seulement de {2}" },
208        { "all abscissae must be finite real numbers, but {0}-th is {1}",
209          "toutes les abscisses doivent \u00eatre des nombres r\u00e9els finis, mais l''abscisse {0} vaut {1}" },
210        { "all ordinatae must be finite real numbers, but {0}-th is {1}",
211          "toutes les ordonn\u00e9es doivent \u00eatre des nombres r\u00e9els finis, mais l''ordonn\u00e9e {0} vaut {1}" },
212        { "all weights must be finite real numbers, but {0}-th is {1}",
213          "tous les poids doivent \u00eatre des nombres r\u00e9els finis, mais le poids {0} vaut {1}" },
214        { "the abscissae array must be sorted in a strictly increasing order, " +
215          "but the {0}-th element is {1} whereas {2}-th is {3}",
216          "les abscisses doivent \u00eatre en ordre strictement croissant, " +
217          "mais l''\u00e9l\u00e9ment {0} vaut {1} alors que l''\u00e9l\u00e9ment {2} vaut {3}" },
218    
219        // org.apache.commons.math.util.ContinuedFraction
220        { "Continued fraction convergents diverged to +/- infinity for value {0}",
221          "Divergence de fraction continue \u00e0 l''infini pour la valeur {0}" },
222        { "Continued fraction convergents failed to converge for value {0}",
223          "\u00c9chec de convergence de fraction continue pour la valeur {0}" },
224        { "Continued fraction diverged to NaN for value {0}",
225          "Divergence de fraction continue \u00e0 NaN pour la valeur {0}"},
226    
227        // org.apache.commons.math.util.DefaultTransformer
228        { "Conversion Exception in Transformation, Object is null",
229          "Exception de conversion dans une transformation, l''objet est nul" },
230        { "Conversion Exception in Transformation: {0}",
231          "Exception de conversion dans une transformation : {0}" },
232    
233        // org.apache.commons.math.optimization.MultiStartOptimizer
234        { "no optimum computed yet",
235          "aucun optimum n''a encore \u00e9t\u00e9 calcul\u00e9" },
236    
237        // org.apache.commons.math.optimization.direct.DirectSearchOptimizer
238        { "simplex must contain at least one point",
239          "le simplex doit contenir au moins un point" },
240        { "equal vertices {0} and {1} in simplex configuration",
241          "sommets {0} et {1} \u00e9gaux dans la configuration du simplex" },
242    
243        // org.apache.commons.math.estimation.AbstractEstimation
244        { "maximal number of evaluations exceeded ({0})",
245          "nombre maximal d''\u00e9valuations d\u00e9pass\u00e9 ({0})" },
246    
247        // org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
248        { "unable to compute covariances: singular problem",
249          "impossible de calculer les covariances : probl\u00e8me singulier"},
250        { "no degrees of freedom ({0} measurements, {1} parameters)",
251          "aucun degr\u00e9 de libert\u00e9 ({0} mesures, {1} param\u00e8tres)" },
252    
253        // org.apache.commons.math.optimization.general.GaussNewtonOptimizer
254        { "unable to solve: singular problem",
255          "r\u00e9solution impossible : probl\u00e8me singulier" },
256    
257        // org.apache.commons.math.optimization.general.LevenbergMarquardtEstimator
258        { "cost relative tolerance is too small ({0}), no further reduction in the sum of squares is possible",
259          "trop petite tol\u00e9rance relative sur le co\u00fbt ({0}), aucune r\u00e9duction de la somme des carr\u00e9s n''est possible" },
260        { "parameters relative tolerance is too small ({0}), no further improvement in the approximate solution is possible",
261          "trop petite tol\u00e9rance relative sur les param\u00e8tres ({0}), aucune am\u00e9lioration de la solution approximative n''est possible" },
262        { "orthogonality tolerance is too small ({0}), solution is orthogonal to the jacobian",
263          "trop petite tol\u00e9rance sur l''orthogonalit\u00e9 ({0}), la solution est orthogonale \u00e0 la jacobienne" },
264        { "unable to perform Q.R decomposition on the {0}x{1} jacobian matrix",
265          "impossible de calculer la factorisation Q.R de la matrice jacobienne {0}x{1}" },
266    
267        // org.apache.commons.math.optimization.general.NonLinearConjugateGradientOptimizer
268        { "unable to bracket optimum in line search",
269          "impossible d''encadrer l''optimum lors de la recherche lin\u00e9aire" },
270    
271        // org.apache.commons.math.optimization.fitting.HarmonicCoefficientsGuesser
272        { "unable to first guess the harmonic coefficients",
273          "impossible de faire une premi\u00e8re estimation des coefficients harmoniques" },
274    
275        // org.apache.commons.math.optimization.fitting.HarmonicCoefficientsGuesser
276        { "sample contains {0} observed points, at least {1} are required",
277          "l''\u00e9chantillon ne contient que {0} points alors qu''au moins {1} sont n\u00e9cessaires" },
278    
279        // org.apache.commons.math.optimization.linear.NoFeasibleSolutionException
280        { "no feasible solution",
281          "aucune solution r\u00e9alisable" },
282    
283        // org.apache.commons.math.optimization.linear.UnboundedSolutionException
284        { "unbounded solution",
285          "solution non born\u00e9e" },
286    
287        // org.apache.commons.math.geometry.CardanEulerSingularityException
288        { "Cardan angles singularity",
289          "singularit\u00e9 d''angles de Cardan" },
290        { "Euler angles singularity",
291          "singularit\u00e9 d''angles d''Euler" },
292    
293        // org.apache.commons.math.geometry.Rotation
294        { "a {0}x{1} matrix cannot be a rotation matrix",
295          "une matrice {0}x{1} ne peut pas \u00eatre une matrice de rotation" },
296        { "the closest orthogonal matrix has a negative determinant {0}",
297          "la matrice orthogonale la plus proche a un d\u00e9terminant n\u00e9gatif {0}" },
298        { "unable to orthogonalize matrix in {0} iterations",
299          "impossible de rendre la matrice orthogonale en {0} it\u00e9rations" },
300    
301        // org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
302        { "minimal step size ({0,number,0.00E00}) reached, integration needs {1,number,0.00E00}",
303          "pas minimal ({0,number,0.00E00}) atteint, l''int\u00e9gration n\u00e9cessite {1,number,0.00E00}" },
304        { "dimensions mismatch: state vector has dimension {0}, absolute tolerance vector has dimension {1}",
305          "incompatibilit\u00e9 de dimensions entre le vecteur d''\u00e9tat ({0}), et le vecteur de tol\u00e9rance absolue ({1})" },
306        { "dimensions mismatch: state vector has dimension {0}, relative tolerance vector has dimension {1}",
307          "incompatibilit\u00e9 de dimensions entre le vecteur d''\u00e9tat ({0}), et le vecteur de tol\u00e9rance relative ({1})" },
308    
309        // org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator,
310        // org.apache.commons.math.ode.nonstiff.RungeKuttaIntegrator
311        { "dimensions mismatch: ODE problem has dimension {0}, initial state vector has dimension {1}",
312          "incompatibilit\u00e9 de dimensions entre le probl\u00e8me ODE ({0}), et le vecteur d''\u00e9tat initial ({1})" },
313        { "dimensions mismatch: ODE problem has dimension {0}, final state vector has dimension {1}",
314          "incompatibilit\u00e9 de dimensions entre le probl\u00e8me ODE ({0}), et le vecteur d''\u00e9tat final ({1})" },
315        { "too small integration interval: length = {0}",
316          "intervalle d''int\u00e9gration trop petit : {0}" },
317    
318        // org.apache.commons.math.ode.MultistepIntegrator
319        { "{0} method needs at least one previous point",
320          "la m\u00e9thode {0} n\u00e9cessite au moins un point pr\u00e9c\u00e9dent" },
321    
322        // org.apache.commons.math.ode.ContinuousOutputModel
323        // org.apache.commons.math.optimization.direct.DirectSearchOptimizer
324        { "unexpected exception caught",
325          "exception inattendue lev\u00e9e" },
326        { "propagation direction mismatch",
327          "directions de propagation incoh\u00e9rentes" },
328        { "{0} wide hole between models time ranges",
329          "trou de longueur {0} entre les domaines temporels des mod\u00e8les" },
330    
331        // org.apache.commons.math.optimization.direct.DirectSearchOptimizer
332        { "none of the {0} start points lead to convergence",
333          "aucun des {0} points de d\u00e9part n''aboutit \u00e0 une convergence"  },
334    
335        // org.apache.commons.math.random.ValueServer
336        { "unknown mode {0}, known modes: {1} ({2}), {3} ({4}), {5} ({6}), {7} ({8}), {9} ({10}) and {11} ({12})",
337          "mode {0} inconnu, modes connus : {1} ({2}), {3} ({4}), {5} ({6}), {7} ({8}), {9} ({10}) et {11} ({12})" },
338        { "digest not initialized",
339          "mod\u00e8le empirique non initialis\u00e9" },
340    
341        // org.apache.commons.math.random.EmpiricalDistributionImpl
342        { "distribution not loaded",
343          "aucune distribution n''a \u00e9t\u00e9 charg\u00e9e" },
344        { "no bin selected",
345          "aucun compartiment s\u00e9lectionn\u00e9" },
346        { "input data comes from unsupported datasource: {0}, supported sources: {1}, {2}",
347          "les donn\u00e9es d''entr\u00e9e proviennent " +
348          "d''une source non support\u00e9e : {0}, sources support\u00e9es : {1}, {2}" },
349    
350        // org.apache.commons.math.random.EmpiricalDistributionImpl
351        // org.apache.commons.math.random.ValueServer
352        { "URL {0} contains no data",
353          "l''adresse {0} ne contient aucune donn\u00e9e" },
354    
355        // org.apache.commons.math.random.AbstractRandomGenerator
356        // org.apache.commons.math.random.BitsStreamGenerator
357        { "upper bound must be positive ({0})",
358          "la borne sup\u00e9rieure doit \u00eatre positive ({0})" },
359    
360        // org.apache.commons.math.random.RandomDataImpl
361        { "length must be positive ({0})",
362          "la longueur doit \u00eatre positive ({0})" },
363        { "upper bound ({0}) must be greater than lower bound ({1})",
364          "la borne sup\u00e9rieure ({0}) doit \u00eatre sup\u00e9rieure" +
365          " \u00e0 la borne inf\u00e9rieure ({1})" },
366        { "permutation k ({0}) exceeds n ({1})",
367          "la permutation k ({0}) d\u00e9passe n ({1})" },
368        { "permutation k ({0}) must be positive",
369          "la permutation k ({0}) doit \u00eatre positive" },
370        { "sample size ({0}) exceeds collection size ({1})",
371          "la taille de l''\u00e9chantillon ({0}) d\u00e9passe la taille de la collection ({1})" },
372    
373        // org.apache.commons.math.linear.decomposition.EigenDecompositionImpl
374        { "cannot solve degree {0} equation",
375          "impossible de r\u00e9soudre une \u00e9quation de degr\u00e9 {0}" },
376        { "eigen decomposition of assymetric matrices not supported yet",
377          "la d\u00e9composition en valeurs/vecteurs propres de matrices " +
378          "non sym\u00e9triques n''est pas encore disponible" },
379    
380        // org.apache.commons.math.linear.decomposition.NonSquareMatrixException
381        // org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
382        { "a {0}x{1} matrix was provided instead of a square matrix",
383          "une matrice {0}x{1} a \u00e9t\u00e9 fournie \u00e0 la place d''une matrice carr\u00e9e" },
384    
385        // org.apache.commons.math.linear.decomposition.SingularMatrixException
386        { "matrix is singular",
387          "matrice singuli\u00e8re" },
388    
389        // org.apache.commons.math.linear.decomposition.SingularValueDecompositionImpl
390        { "cutoff singular value is {0}, should be at most {1}",
391          "la valeur singuli\u00e8re de coupure vaut {0}, elle ne devrait pas d\u00e9passer {1}" },
392    
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        { "dimensions mismatch: got {0}x{1} but expected {2}x{3}",
399          "dimensions incoh\u00e9rentes : {0}x{1} \u00e0 la place de {2}x{3}" },
400    
401        // org.apache.commons.math.linear.decomposition.CholeskyDecompositionImpl
402        // org.apache.commons.math.linear.decomposition.EigenDecompositionImpl
403        // org.apache.commons.math.linear.decomposition.LUDecompositionImpl
404        // org.apache.commons.math.linear.decomposition.QRDecompositionImpl
405        // org.apache.commons.math.linear.decomposition.SingularValueDecompositionImpl
406        // org.apache.commons.math.linear.ArrayRealVector
407        // org.apache.commons.math.linear.SparseRealVector
408        { "vector length mismatch: got {0} but expected {1}",
409          "taille de vecteur invalide : {0} au lieu de {1} attendue" },
410    
411        // org.apache.commons.math.linear.ArrayRealVector
412        // org.apache.commons.math.linear.ArrayFieldVector
413        // org.apache.commons.math.linear.SparseRealVector
414        { "index {0} out of allowed range [{1}, {2}]",
415          "index {0} hors de la plage autoris\u00e9e [{1}, {2}]" },
416        { "vector must have at least one element",
417          "un vecteur doit comporter au moins un \u00e9l\u00e9ment" },
418        { "position {0} and size {1} don't fit to the size of the input array {2}",
419          "la position {0} et la taille {1} sont incompatibles avec la taille du tableau d''entr\u00e9e {2}"},
420    
421        // org.apache.commons.math.linear.AbstractRealMatrix
422        // org.apache.commons.math.linear.AbstractFieldMatrix
423        { "invalid row dimension: {0} (must be positive)",
424          "nombre de lignes invalide : {0} (doit \u00eatre positif)" },
425        { "invalid column dimension: {0} (must be positive)",
426          "nombre de colonnes invalide : {0} (doit \u00eatre positif)" },
427        { "matrix must have at least one row",
428          "une matrice doit comporter au moins une ligne" },
429        { "matrix must have at least one column",
430          "une matrice doit comporter au moins une colonne" },
431    
432        // org.apache.commons.math.linear.AbstractRealMatrix
433        // org.apache.commons.math.linear.AbstractFieldMatrix
434        // org.apache.commons.math.stat.inference.ChiSquareTestImpl
435        { "some rows have length {0} while others have length {1}",
436          "certaines lignes ont une longueur de {0} alors que d''autres ont une longueur de {1}" },
437    
438        // org.apache.commons.math.linear.MatrixUtils
439        { "row index {0} out of allowed range [{1}, {2}]",
440          "index de ligne {0} hors de la plage autoris\u00e9e [{1}, {2}]" },
441        { "column index {0} out of allowed range [{1}, {2}]",
442          "index de colonne {0} hors de la plage autoris\u00e9e [{1}, {2}]" },
443        { "initial row {0} after final row {1}",
444          "ligne initiale {0} apr\u00e8s la ligne finale {1}" },
445        { "initial column {0} after final column {1}",
446          "colonne initiale {0} apr\u00e8s la colonne finale {1}" },
447        { "empty selected row index array",
448          "tableau des indices de lignes s\u00e9lectionn\u00e9es vide" },
449        { "empty selected column index array",
450          "tableau des indices de colonnes s\u00e9lectionn\u00e9es vide" },
451        { "{0}x{1} and {2}x{3} matrices are not addition compatible",
452          "les dimensions {0}x{1} et {2}x{3} sont incompatibles pour l'addition matricielle" },
453        { "{0}x{1} and {2}x{3} matrices are not subtraction compatible",
454          "les dimensions {0}x{1} et {2}x{3} sont incompatibles pour la soustraction matricielle" },
455        { "{0}x{1} and {2}x{3} matrices are not multiplication compatible",
456          "les dimensions {0}x{1} et {2}x{3} sont incompatibles pour la multiplication matricielle" },
457    
458        // org.apache.commons.math.linear.BlockRealMatrix
459        { "wrong array shape (block length = {0}, expected {1})",
460          "forme de tableau erron\u00e9e (bloc de longueur {0} au lieu des {1} attendus)" },
461    
462        // org.apache.commons.math.complex.Complex
463        { "cannot compute nth root for null or negative n: {0}",
464         "impossible de calculer la racine ni\u00e8me pour n n\u00e9gatif ou nul : {0}" },
465    
466       // org.apache.commons.math.complex.ComplexFormat
467       { "unparseable complex number: \"{0}\"",
468         "\u00e9chec d''analyse du nombre complexe \"{0}\"" },
469       { "cannot format a {0} instance as a complex number",
470         "impossible de formater une instance de {0} comme un nombre complexe" },
471       { "empty string for imaginary character",
472         "cha\u00eene vide pour le caract\u00e8 imaginaire" },
473       { "null imaginary format",
474         "format imaginaire nul" },
475       { "null real format",
476         "format r\u00e9el nul" },
477    
478       // org.apache.commons.math.complex.ComplexUtils
479       { "negative complex module {0}",
480         "module n\u00e9gatif ({0}) pour un nombre complexe" },
481    
482       // org.apache.commons.math.geometry.Vector3DFormat
483       { "unparseable 3D vector: \"{0}\"",
484         "\u00e9chec d''analyse du vecteur de dimension 3 \"{0}\"" },
485       { "cannot format a {0} instance as a 3D vector",
486         "impossible de formater une instance de {0} comme un vecteur de dimension 3" },
487    
488       // org.apache.commons.math.linear.RealVectorFormat
489       { "unparseable real vector: \"{0}\"",
490         "\u00e9chec d''analyse du vecteur r\u00e9el \"{0}\"" },
491       { "cannot format a {0} instance as a real vector",
492         "impossible de formater une instance de {0} comme un vecteur r\u00e9el" },
493    
494       // org.apache.commons.math.util.ResizableDoubleArray
495       { "the index specified: {0} is larger than the current maximal index {1}",
496         "l''index sp\u00e9cifi\u00e9 ({0}) d\u00e9passe l''index maximal courant ({1})" },
497       { "elements cannot be retrieved from a negative array index {0}",
498         "impossible d''extraire un \u00e9l\u00e9ment \u00e0 un index n\u00e9gatif ({0})" },
499       { "cannot set an element at a negative index {0}",
500         "impossible de mettre un \u00e9l\u00e9ment \u00e0 un index n\u00e9gatif ({0})" },
501       { "cannot substitute an element from an empty array",
502         "impossible de substituer un \u00e9l\u00e9ment dans un tableau vide" },
503       { "contraction criteria ({0}) smaller than the expansion factor ({1}).  This would " +
504         "lead to a never ending loop of expansion and contraction as a newly expanded " +
505         "internal storage array would immediately satisfy the criteria for contraction.",
506         "crit\u00e8re de contraction ({0}) inf\u00e9rieur au facteur d''extension. Ceci " +
507         "induit une boucle infinie d''extensions/contractions car tout tableau de stockage " +
508         "fra\u00eechement \u00e9tendu respecte imm\u00e9diatement le crit\u00e8re de contraction."},
509       { "contraction criteria smaller than one ({0}).  This would lead to a never ending " +
510         "loop of expansion and contraction as an internal storage array length equal " +
511         "to the number of elements would satisfy the contraction criteria.",
512         "crit\u00e8re de contraction inf\u00e9rieur \u00e0 un ({0}). Ceci induit une boucle " +
513         "infinie d''extensions/contractions car tout tableau de stockage de longueur \u00e9gale " +
514         "au nombre d''\u00e9l\u00e9ments respecte le crit\u00e8re de contraction." },
515       { "expansion factor smaller than one ({0})",
516         "facteur d''extension inf\u00e9rieur \u00e0 un ({0})"},
517       { "cannot discard {0} elements from a {1} elements array",
518         "impossible d''enlever {0} \u00e9l\u00e9ments d''un tableau en contenant {1}"},
519       { "cannot discard a negative number of elements ({0})",
520         "impossible d''enlever un nombre d''\u00e9l\u00e9ments{0} n\u00e9gatif"},
521       { "unsupported expansion mode {0}, supported modes are {1} ({2}) and {3} ({4})",
522         "mode d''extension {0} no support\u00e9, les modes support\u00e9s sont {1} ({2}) et {3} ({4})" },
523       { "initial capacity ({0}) is not positive",
524         "la capacit\u00e9 initiale ({0}) n''est pas positive" },
525       { "index ({0}) is not positive",
526         "l''indice ({0}) n''est pas positif" },
527    
528       // org.apache.commons.math.analysis.polynomials.PolynomialFunction
529       // org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm
530       { "empty polynomials coefficients array",
531         "tableau de coefficients polyn\u00f4miaux vide" },
532    
533       // org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm
534       { "array sizes should have difference 1 ({0} != {1} + 1)",
535         "les tableaux devraient avoir une diff\u00e9rence de taille de 1 ({0} != {1} + 1)" },
536    
537       // org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
538       { "identical abscissas x[{0}] == x[{1}] == {2} cause division by zero",
539         "division par z\u00e9ro caus\u00e9e par les abscisses identiques x[{0}] == x[{1}] == {2}" },
540    
541       // org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction
542       { "spline partition must have at least {0} points, got {1}",
543         "une partiction spline n\u00e9cessite au moins {0} points, seuls {1} ont \u00e9t\u00e9 fournis" },
544       { "knot values must be strictly increasing",
545         "les n\u0153uds d''interpolation doivent \u00eatre strictement croissants" },
546       { "number of polynomial interpolants must match the number of segments ({0} != {1} - 1)",
547         "le nombre d''interpolants polyn\u00f4miaux doit correspondre au nombre de segments ({0} != {1} - 1)" },
548    
549       // org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
550       { "function to solve cannot be null",
551         "la fonction \u00e0 r\u00e9soudre ne peux pas \u00eatre nulle" },
552       { "invalid interval, initial value parameters:  lower={0}, initial={1}, upper={2}",
553         "param\u00e8tres de l''intervalle initial invalides : borne inf = {0}, valeur initiale = {1}, borne sup = {2}" },
554    
555       // org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
556       // org.apache.commons.math.analysis.solvers.BrentSolver
557       { "function values at endpoints do not have different signs.  Endpoints: [{0}, {1}], Values: [{2}, {3}]",
558         "les valeurs de la fonction aux bornes n''ont pas des signes diff\u00e9rents. Bornes : [{0}, {1}], valeurs : [{2}, {3}]" },
559    
560       // org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
561       // org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl
562       // org.apache.commons.math.transform.FastFourierTransformer
563       { "endpoints do not specify an interval: [{0}, {1}]",
564         "les extr\u00e9mit\u00e9s ne constituent pas un intervalle : [{0}, {1}]" },
565    
566       // org.apache.commons.math.analysis.solvers.LaguerreSolver
567       { "function is not polynomial",
568         "la fonction n''est pas p\u00f4lynomiale" },
569    
570       // org.apache.commons.math.analysis.solvers.NewtonSolver
571       { "function is not differentiable",
572         "la fonction n''est pas diff\u00e9rentiable" },
573    
574       // org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl
575       { "invalid iteration limits: min={0}, max={1}",
576         "limites d''it\u00e9rations invalides : min = {0}, max = {1}" },
577    
578       // org.apache.commons.math.analysis.integration.LegendreGaussIntegrator
579       { "{0} points Legendre-Gauss integrator not supported," +
580         " number of points must be in the {1}-{2} range",
581         "int\u00e9grateur de Legendre-Gauss non support\u00e9 en {0} points, " +
582         "le nombre de points doit \u00eatre entre {1} et {2}" },
583    
584       // org.apache.commons.math.fraction.Fraction
585       { "zero denominator in fraction {0}/{1}",
586         "d\u00e9nominateur null dans le nombre rationnel {0}/{1}" },
587       { "overflow in fraction {0}/{1}, cannot negate",
588         "d\u00e9passement de capacit\u00e9 pour la fraction {0}/{1}, son signe ne peut \u00eatre chang\u00e9" },
589       { "overflow, numerator too large after multiply: {0}",
590         "d\u00e9passement de capacit\u00e9 pour le num\u00e9rateur apr\u00e8s multiplication : {0}" },
591       { "the fraction to divide by must not be zero: {0}/{1}",
592         "division par un nombre rationnel nul : {0}/{1}" },
593       { "null fraction",
594         "fraction nulle" },
595    
596       // org.apache.commons.math.geometry.Rotation
597       { "zero norm for rotation axis",
598         "norme nulle pour un axe de rotation" },
599       { "zero norm for rotation defining vector",
600         "norme nulle pour un axe de d\u00e9finition de rotation" },
601    
602       // org.apache.commons.math.geometry.Vector3D
603       // org.apache.commons.math.linear.ArrayRealVector
604       { "cannot normalize a zero norm vector",
605         "impossible de normer un vecteur de norme nulle" },
606       { "zero norm",
607         "norme nulle" },
608    
609       // org.apache.commons.math.ConvergingAlgorithmImpl
610       { "no result available",
611         "aucun r\u00e9sultat n''est disponible" },
612    
613       // org.apache.commons.math.linear.BigMatrixImpl
614       { "first {0} rows are not initialized yet",
615         "les {0} premi\u00e8res lignes ne sont pas encore initialis\u00e9es" },
616       { "first {0} columns are not initialized yet",
617         "les {0} premi\u00e8res colonnes ne sont pas encore initialis\u00e9es" },
618    
619       // org.apache.commons.math.stat.Frequency
620       { "class ({0}) does not implement Comparable",
621         "la classe ({0}) n''implante pas l''interface Comparable" },
622       { "instance of class {0} not comparable to existing values",
623         "l''instance de la classe {0} n''est pas comparable aux valeurs existantes" },
624    
625       // org.apache.commons.math.stat.StatUtils
626       { "input arrays must have the same positive length ({0} and {1})",
627         "les tableaux d''entr\u00e9e doivent avoir la m\u00eame taille positive ({0} et {1})" },
628       { "input arrays must have the same length and at least two elements ({0} and {1})",
629         "les tableaux d''entr\u00e9e doivent avoir la m\u00eame taille" +
630         " et au moins deux \u00e9l\u00e9ments ({0} et {1})" },
631    
632       // org.apache.commons.math.stat.correlation.Covariance
633       { "arrays must have the same length and both must have at " +
634         "least two elements. xArray has size {0}, yArray has {1} elements",
635         "les tableaux doivent avoir la m\u00eame taille " +
636         "et comporter au moins deux \u00e9l\u00e9ments. " +
637         "xArray a une taille de {0}, yArray a {1} \u00e9l\u00e9ments"},
638       { "insufficient data: only {0} rows and {1} columns.",
639         "donn\u00e9es insuffisantes : seulement {0} lignes et {1} colonnes." },
640    
641       // org.apache.commons.math.stat.correlation.PearsonsCorrelation
642       { "covariance matrix is null",
643         "la matrice de covariance est nulle" },
644       { "invalid array dimensions. xArray has size {0}; yArray has {1} elements",
645         "dimensions de tableaux invalides. xArray a une taille de {0}, " +
646         "yArray a {1} \u00e9l\u00e9ments" },
647    
648       // org.apache.commons.math.stat.descriptive.DescriptiveStatistics
649       { "window size must be positive ({0})",
650         "la taille de la fen\u00eatre doit \u00eatre positive ({0})" },
651       { "percentile implementation {0} does not support {1}",
652         "l''implantation de pourcentage {0} ne dispose pas de la m\u00e9thode {1}" },
653       { "cannot access {0} method in percentile implementation {1}",
654         "acc\u00e8s impossible \u00e0 la m\u00e9thode {0}" +
655         " dans l''implantation de pourcentage {1}" },
656       { "out of bounds quantile value: {0}, must be in (0, 100]",
657         "valeur de quantile {0} hors bornes, doit \u00eatre dans l''intervalle ]0, 100]" },
658    
659       // org.apache.commons.math.stat.descriptive.moment.Variance
660       // org.apache.commons.math.stat.descriptive.moment.SemiVariance
661       // org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
662       // org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic
663       { "input values array is null",
664         "le tableau des valeurs d''entr\u00e9es est nul" },
665    
666       // org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic
667       { "start position cannot be negative ({0})",
668         "la position de d\u00e9part ne peut pas \u00eatre n\u00e9gative" },
669       { "length cannot be negative ({0})",
670         "la longueur ne peut pas \u00eatre n\u00e9gative" },
671       { "subarray ends after array end",
672         "le sous-tableau se termine apr\u00e8s la fin du tableau" },
673    
674       // org.apache.commons.math.stat.descriptive.moment.GeometricMean
675       // org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
676       // org.apache.commons.math.stat.descriptive.SummaryStatistics
677       { "{0} values have been added before statistic is configured",
678         "{0} valeurs ont \u00e9t\u00e9 ajout\u00e9es " +
679         "avant que la statistique ne soit configur\u00e9e" },
680    
681       // org.apache.commons.math.stat.descriptive.moment.Kurtosis
682       { "statistics constructed from external moments cannot be incremented",
683         "les statistiques bas\u00e9es sur des moments externes ne peuvent pas \u00eatre incr\u00e9ment\u00e9es" },
684       { "statistics constructed from external moments cannot be cleared",
685         "les statistiques bas\u00e9es sur des moments externes ne peuvent pas \u00eatre remises \u00e0 z\u00e9ro" },
686    
687       // org.apache.commons.math.stat.inference.ChiSquareTestImpl
688       { "expected array length = {0}, must be at least 2",
689         "le tableau des valeurs attendues a une longueur de {0}, elle devrait \u00eatre au moins de 2" },
690       { "observed array length = {0}, must be at least 2",
691         "le tableau des valeurs observ\u00e9es a une longueur de {0}, elle devrait \u00eatre au moins de 2" },
692       { "observed counts are all 0 in first observed array",
693         "aucune occurrence dans le premier tableau des observations" },
694       { "observed counts are all 0 in second observed array",
695         "aucune occurrence dans le second tableau des observations" },
696       { "observed counts are both zero for entry {0}",
697         "les occurrences observ\u00e9es sont toutes deux nulles pour l'entr\u00e9e {0}" },
698       { "invalid row dimension: {0} (must be at least 2)",
699         "nombre de lignes invalide : {0} (doit \u00eatre au moins de 2)" },
700       { "invalid column dimension: {0} (must be at least 2)",
701         "nombre de colonnes invalide : {0} (doit \u00eatre au moins de 2)" },
702       { "element {0} is not positive: {1}",
703         "l''\u00e9l\u00e9ment {0} n''est pas positif : {1}" },
704       { "element {0} is negative: {1}",
705         "l''\u00e9l\u00e9ment {0} est n\u00e9gatif : {1}" },
706       { "element ({0}, {1}) is negative: {2}",
707         "l''\u00e9l\u00e9ment ({0}, {1}) est n\u00e9gatif : {2}" },
708    
709       // org.apache.commons.math.stat.inference.OneWayAnovaImpl
710       { "two or more categories required, got {0}",
711         "deux cat\u00e9gories ou plus sont n\u00e9cessaires, il y en a {0}" },
712       { "two or more values required in each category, one has {0}",
713         "deux valeurs ou plus sont n\u00e9cessaires pour chaque cat\u00e9gorie, une cat\u00e9gorie en a {0}" },
714    
715       // org.apache.commons.math.stat.inference.TTestImpl
716       { "insufficient data for t statistic, needs at least 2, got {0}",
717         "deux valeurs ou plus sont n\u00e9cessaires pour la statistique t, il y en a {0}" },
718    
719       // org.apache.commons.math.stat.inference.ChiSquareTestImpl
720       // org.apache.commons.math.stat.inference.TTestImpl
721       // org.apache.commons.math.stat.inference.OneWayAnovaImpl
722       // org.apache.commons.math.stat.Regression
723       { "out of bounds significance level {0}, must be between {1} and {2}",
724         "niveau de signification {0} hors domaine, doit \u00eatre entre {1} et {2}" },
725    
726       // org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
727       { "not enough data ({0} rows) for this many predictors ({1} predictors)",
728         "pas assez de donn\u00e9es ({0} lignes) pour {1} pr\u00e9dicteurs" },
729    
730       // org.apache.commons.math.distribution.AbstractContinuousDistribution
731       // org.apache.commons.math.distribution.AbstractIntegerDistribution
732       // org.apache.commons.math.distribution.ExponentialDistributionImpl
733       // org.apache.commons.math.distribution.BinomialDistributionImpl
734       // org.apache.commons.math.distribution.CauchyDistributionImpl
735       // org.apache.commons.math.distribution.PascalDistributionImpl
736       // org.apache.commons.math.distribution.WeibullDistributionImpl
737       { "{0} out of [{1}, {2}] range",
738         "{0} hors du domaine [{1}, {2}]" },
739    
740       // org.apache.commons.math.distribution.AbstractDistribution
741       // org.apache.commons.math.distribution.AbstractIntegerDistribution
742       { "lower endpoint ({0}) must be less than or equal to upper endpoint ({1})",
743         "la borne inf\u00e9rieure ({0}) devrait \u00eatre inf\u00e9rieure " +
744         "ou \u00e9gale \u00e0 la borne sup\u00e9rieure ({1})" },
745    
746       // org.apache.commons.math.distribution.AbstractContinuousDistribution
747       { "Cumulative probability function returned NaN for argument {0} p = {1}",
748         "Fonction de probabilit\u00e9 cumulative retourn\u00e9 NaN \u00e0 l''argument de {0} p = {1}" },
749       { "This distribution does not have a density function implemented",
750         "La fonction de densit\u00e9 pour cette distribution n'a pas \u00e9t\u00e9 mis en oeuvre" },
751    
752       // org.apache.commons.math.distribution.AbstractIntegerDistribution
753       { "Discrete cumulative probability function returned NaN for argument {0}",
754         "Discr\u00e8tes fonction de probabilit\u00e9 cumulative retourn\u00e9 NaN \u00e0 l''argument de {0}" },
755    
756    
757       // org.apache.commons.math.distribution.BinomialDistributionImpl
758       { "number of trials must be non-negative ({0})",
759         "le nombre d''essais ne doit pas \u00eatre n\u00e9gatif ({0})" },
760    
761       // org.apache.commons.math.distribution.ExponentialDistributionImpl
762       // org.apache.commons.math.random.RandomDataImpl
763       { "mean must be positive ({0})",
764         "la moyenne doit \u00eatre positive ({0})" },
765    
766       // org.apache.commons.math.distribution.FDistributionImpl
767       // org.apache.commons.math.distribution.TDistributionImpl
768       { "degrees of freedom must be positive ({0})",
769         "les degr\u00e9s de libert\u00e9 doivent \u00eatre positifs ({0})" },
770    
771       // org.apache.commons.math.distribution.GammaDistributionImpl
772       { "alpha must be positive ({0})",
773         "alpha doit \u00eatre positif ({0})" },
774       { "beta must be positive ({0})",
775         "beta doit \u00eatre positif ({0})" },
776    
777       // org.apache.commons.math.distribution.HypergeometricDistributionImpl
778       { "number of successes ({0}) must be less than or equal to population size ({1})",
779         "le nombre de succ\u00e8s doit \u00eatre inf\u00e9rieur " +
780         "ou \u00e9gal \u00e0 la taille de la population ({1})" },
781       { "sample size ({0}) must be less than or equal to population size ({1})",
782         "la taille de l''\u00e9chantillon doit \u00eatre inf\u00e9rieure " +
783         "ou \u00e9gale \u00e0 la taille de la population ({1})" },
784       { "population size must be positive ({0})",
785         "la taille de la population doit \u00eatre positive ({0})" },
786    
787       // org.apache.commons.math.distribution.HypergeometricDistributionImpl
788       // org.apache.commons.math.random.RandomDataImpl
789       { "sample size must be positive ({0})",
790         "la taille de l''\u00e9chantillon doit \u00eatre positive ({0})" },
791    
792       // org.apache.commons.math.distribution.HypergeometricDistributionImpl
793       // org.apache.commons.math.distribution.PascalDistributionImpl
794       { "number of successes must be non-negative ({0})",
795         "le nombre de succ\u00e8s ne doit pas \u00eatre n\u00e9gatif ({0})" },
796    
797       // org.apache.commons.math.distribution.NormalDistributionImpl
798       // org.apache.commons.math.random.RandomDataImpl
799       { "standard deviation must be positive ({0})",
800         "l''\u00e9cart type doit \u00eatre positif ({0})" },
801    
802       // org.apache.commons.math.distribution.PoissonDistributionImpl
803       // org.apache.commons.math.random.RandomDataImpl
804       { "the Poisson mean must be positive ({0})",
805         "la moyenne de Poisson doit \u00eatre positive ({0})" },
806    
807       // org.apache.commons.math.distribution.WeibullDistributionImpl
808       { "shape must be positive ({0})",
809         "le facteur de forme doit \u00eatre positif ({0})" },
810    
811       // org.apache.commons.math.distribution.WeibullDistributionImpl
812       // org.apache.commons.math.distribution.CauchyDistributionImpl
813       { "scale must be positive ({0})",
814         "l''\u00e9chelle doit \u00eatre positive ({0})" },
815    
816       // org.apache.commons.math.distribution.ZipfDistributionImpl
817       { "invalid number of elements {0} (must be positive)",
818         "nombre d''\u00e9l\u00e9ments {0} invalide (doit \u00eatre positif)" },
819       { "invalid exponent {0} (must be positive)",
820         "exposant {0} invalide (doit \u00eatre positif)" },
821    
822       // org.apache.commons.math.transform.FastHadamardTransformer
823       { "{0} is not a power of 2",
824         "{0} n''est pas une puissance de 2" },
825    
826       // org.apache.commons.math.transform.FastFourierTransformer
827       { "cannot compute 0-th root of unity, indefinite result",
828         "impossible de calculer la racine z\u00e9roi\u00e8me de l''unit\u00e9, " +
829         "r\u00e9sultat ind\u00e9fini" },
830       { "roots of unity have not been computed yet",
831         "les racines de l''unit\u00e9 n''ont pas encore \u00e9t\u00e9 calcul\u00e9es" },
832       { "out of range root of unity index {0} (must be in [{1};{2}])",
833         "index de racine de l''unit\u00e9 hors domaine (devrait \u00eatre dans [{1}; {2}])" },
834       { "number of sample is not positive: {0}",
835         "le nombre d''\u00e9chantillons n''est pas positif : {0}" },
836       { "{0} is not a power of 2, consider padding for fix",
837         "{0} n''est pas une puissance de 2, ajoutez des \u00e9l\u00e9ments pour corriger" },
838       { "some dimensions don't match: {0} != {1}",
839         "certaines dimensions sont incoh\u00e9rentes : {0} != {1}" },
840    
841       // org.apache.commons.math.transform.FastCosineTransformer
842       { "{0} is not a power of 2 plus one",
843         "{0} n''est pas une puissance de 2 plus un" },
844    
845       // org.apache.commons.math.transform.FastSineTransformer
846       { "first element is not 0: {0}",
847         "le premier \u00e9l\u00e9ment n''est pas nul : {0}" },
848    
849       // org.apache.commons.math.util.OpenIntToDoubleHashMap
850       { "map has been modified while iterating",
851         "la table d''adressage a \u00e9t\u00e9 modifi\u00e9e pendant l''it\u00e9ration" },
852       { "iterator exhausted",
853         "it\u00e9ration achev\u00e9e" },
854    
855       // org.apache.commons.math.MathRuntimeException
856       { "internal error, please fill a bug report at {0}",
857         "erreur interne, veuillez signaler l''erreur \u00e0 {0}" }
858    
859      };
860    
861      /**
862       * Simple constructor.
863       */
864      public MessagesResources_fr() {
865      }
866    
867      /**
868       * Get the non-translated/translated messages arrays from this resource bundle.
869       * @return non-translated/translated messages arrays
870       */
871      @Override
872      public Object[][] getContents() {
873        return CONTENTS.clone();
874      }
875    
876    }