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: 796546 $ $Date: 2009-07-21 17:38:55 -0400 (Tue, 21 Jul 2009) $
025     * @since 1.2
026     */
027    public class MessagesResources_fr
028      extends ListResourceBundle {
029    
030      /** 
031       * Simple constructor.
032       */
033      public MessagesResources_fr() {
034      }
035    
036      /** 
037       * Get the non-translated/translated messages arrays from this resource bundle.
038       * @return non-translated/translated messages arrays
039       */
040      @Override
041      public Object[][] getContents() {
042        return contents.clone();
043      }
044    
045      /** Non-translated/translated messages arrays. */
046      private static final Object[][] contents = {
047    
048        // org.apache.commons.math.util.MathUtils
049        { "must have n >= k for binomial coefficient (n,k), got n = {0}, k = {1}",
050          "n doit \u00eatre sup\u00e9rieur ou \u00e9gal \u00e0 k " +
051          "pour le coefficient du bin\u00f4me (n,k), or n = {0}, k = {1}" },
052        { "must have n >= 0 for binomial coefficient (n,k), got n = {0}",
053          "n doit \u00eatre positif pour le coefficient du bin\u00f4me (n,k), or n = {0}" },
054        { "must have n >= 0 for n!, got n = {0}",
055          "n doit \u00eatre positif pour le calcul de n!, or n = {0}" },
056        { "overflow: gcd({0}, {1}) is 2^31",
057          "d\u00e9passement de capacit\u00e9 : le PGCD de {0} et {1} vaut 2^31" },
058        { "cannot raise an integral value to a negative power ({0}^{1})",
059          "impossible d''\u00e9lever une valeur enti\u00e8re " +
060          "\u00e0 une puissance n\u00e9gative ({0}^{1})" },
061        { "invalid rounding method {0}, valid methods: {1} ({2}), {3} ({4})," +
062           " {5} ({6}), {7} ({8}), {9} ({10}), {11} ({12}), {13} ({14}), {15} ({16})",
063          "m\u00e9thode d''arondi {0} invalide, m\u00e9thodes valides : {1} ({2}), {3} ({4})," +
064           " {5} ({6}), {7} ({8}), {9} ({10}), {11} ({12}), {13} ({14}), {15} ({16})" },
065    
066        // org.apache.commons.math.FunctionEvaluationException
067        { "evaluation failed for argument = {0}",
068          "erreur d''\u00e9valuation pour l''argument {0}" },
069    
070        // org.apache.commons.math.DuplicateSampleAbscissaException
071        { "Abscissa {0} is duplicated at both indices {1} and {2}",
072          "Abscisse {0} dupliqu\u00e9e aux indices {1} et {2}" },
073    
074        // org.apache.commons.math.ConvergenceException
075        { "Convergence failed",
076          "\u00c9chec de convergence" },
077    
078        // org.apache.commons.math.ArgumentOutsideDomainException
079        { "Argument {0} outside domain [{1} ; {2}]",
080          "Argument {0} hors du domaine [{1} ; {2}]" },
081    
082        // org.apache.commons.math.MaxIterationsExceededException
083        { "Maximal number of iterations ({0}) exceeded",
084          "Nombre maximal d''it\u00e9rations ({0}) d\u00e9pass\u00e9" },
085    
086        // org.apache.commons.math.MaxEvaluationsExceededException
087        { "Maximal number of evaluations ({0}) exceeded",
088          "Nombre maximal d''\u00e9valuations ({0}) d\u00e9pass\u00e9" },
089    
090        // org.apache.commons.math.analysis.interpolation.SplineInterpolator
091        // org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
092        // org.apache.commons.math.DimensionMismatchException
093        // org.apache.commons.math.optimization.LeastSquaresConverter
094        // org.apache.commons.math.optimization.direct.DirectSearchOptimizer
095        // org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
096        // org.apache.commons.math.ode.ContinuousOutputModel
097        // org.apache.commons.math.random.UncorrelatedRandomVectorGenerator
098        // org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
099        // org.apache.commons.math.stat.inference.ChiSquareTestImpl
100        { "dimension mismatch {0} != {1}",
101          "dimensions incompatibles {0} != {1}" },
102    
103        // org.apache.commons.math.linear.decomposition.NotPositiveDefiniteMatrixException
104        { "not positive definite matrix",
105          "matrice non d\u00e9finie positive" },
106    
107        // org.apache.commons.math.linear.decomposition.NotSymmetricMatrixException
108        { "not symmetric matrix",
109          "matrice non symm\u00e9trique" },
110    
111        // org.apache.commons.math.fraction.FractionConversionException
112        { "Unable to convert {0} to fraction after {1} iterations",
113          "Impossible de convertir {0} en fraction apr\u00e8s {1} it\u00e9rations" },
114        { "Overflow trying to convert {0} to fraction ({1}/{2})",
115          "D\u00e9passement de capacit\u00e9 lors de la conversion de {0} en fraction ({1}/{2})" },
116    
117        // org.apache.commons.math.fraction.BigFraction
118        { "numerator is null",
119          "le num\u00e9rateur est null" },
120        { "denimonator is null",
121          "le d\u00e9nominateur est null" },
122        { "denominator must be different from 0",
123          "le d\u00e9nominateur doit \u00eatre diff\u00e9rent de 0" },
124        { "cannot convert NaN value",
125          "les valeurs NaN ne peuvent \u00eatre converties" },
126        { "cannot convert infinite value",
127          "les valeurs infinies ne peuvent \u00eatre converties" },
128    
129        // org.apache.commons.math.fraction.AbstractFormat
130        { "denominator format can not be null",
131          "le format du d\u00e9nominateur ne doit pas \u00eatre nul" },
132        { "numerator format can not be null",
133          "le format du num\u00e9rateur ne doit pas \u00eatre nul" },
134    
135        // org.apache.commons.math.fraction.FractionFormat
136        { "cannot convert given object to a fraction number: {0}",
137          "impossible de convertir l''objet sous forme d''un nombre rationnel : {0}" },
138    
139        // org.apache.commons.math.fraction.FractionFormat
140        // org.apache.commons.math.fraction.BigFractionFormat
141        { "unparseable fraction number: \"{0}\"",
142          "\u00e9chec d''analyse du nombre rationnel \"{0}\"" },
143        { "cannot format given object as a fraction number",
144          "impossible de formater l''objet sous forme d''un nombre rationnel" },
145    
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" },
150    
151        // org.apache.commons.math.analysis.solvers.UnivariateRealSolverUtils
152        { "function is null",
153          "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}",
157          "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}," +
159            " final a value={5}, final b value={6}, f(a)={7}, f(b)={8}",
160          "nombre d''it\u00e9rations = {0}, it\u00e9rations maximum = {1}, valeur initiale = {2}," +
161            " borne inf\u00e9rieure = {3}, borne sup\u00e9rieure = {4}," +
162            " valeur a finale = {5}, valeur b finale = {6}, f(a) = {7}, f(b) = {8}" },
163    
164        // org.apache.commons.math.analysis.solvers.LaguerreSolver
165        { "polynomial degree must be positive: degree={0}",
166          "le polyn\u00f4me doit \u00eatre de degr\u00e9 positif : degr\u00e9 = {0}" },
167    
168        // org.apache.commons.math.analysis.solvers.SecantSolver
169        { "function values at endpoints do not have different signs, endpoints: [{0}, {1}], values: [{2}, {3}]",
170          "les valeurs de la fonctions aux bornes sont de m\u00eame signe, bornes : [{0}, {1}], valeurs : [{2}, {3}]" },
171    
172        // org.apache.commons.math.analysis.interpolation.SplineInterpolator
173        // org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
174        { "{0} points are required, got only {1}",
175          "{0} sont n\u00e9cessaires, seuls {1} ont \u00e9t\u00e9 fournis" },
176    
177        // org.apache.commons.math.analysis.interpolation.SplineInterpolator
178        { "points {0} and {1} are not strictly increasing ({2} >= {3})",
179          "les points {0} et {1} ne sont pas strictements croissants ({2} >= {3})" },
180    
181        // org.apache.commons.math.analysis.interpolation.LoessInterpolator
182        { "bandwidth must be in the interval [0,1], but got {0}",
183          "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}",
185          "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} " +
193          " 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}" +
195          "donn\u00e9es et la largeur de bande doit \u00eatre au moins de {1}, or elle est seulement de {2}" },
196        { "all abscissae must be finite real numbers, but {0}-th is {1}",
197          "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}",
199          "toutes les ordonn\u00e9es doivent \u00eatre des nombres r\u00e9els finis, mais l''ordonn\u00e9e {0} vaut {1}" },
200        { "the abscissae array must be sorted in a strictly increasing order, " +
201          "but the {0}-th element is {1} whereas {2}-th is {3}",
202          "les abscisses doivent \u00eatre en ordre strictement croissant, " +
203          "mais l''\u00e9l\u00e9ment {0} vaut {1} alors que l''\u00e9l\u00e9ment {2} vaut {3}" },
204    
205        // org.apache.commons.math.util.ContinuedFraction
206        { "Continued fraction convergents diverged to +/- infinity for value {0}",
207          "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}" },
210    
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}" },
216    
217        // org.apache.commons.math.optimization.MultiStartOptimizer
218        { "no optimum computed yet",
219          "aucun optimum n''a encore \u00e9t\u00e9 calcul\u00e9" },
220    
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" },
226    
227        // org.apache.commons.math.estimation.AbstractEstimation
228        { "maximal number of evaluations exceeded ({0})",
229          "nombre maximal d''\u00e9valuations d\u00e9pass\u00e9 ({0})" },
230    
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)" },
236    
237        // org.apache.commons.math.optimization.general.GaussNewtonOptimizer
238        { "unable to solve: singular problem",
239          "r\u00e9solution impossible : probl\u00e8me singulier" },
240    
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}" },
250    
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" },
254    
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" },
258    
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" },
262    
263        // org.apache.commons.math.optimization.linear.NoFeasibleSolutionException
264        { "no feasible solution",
265          "aucune solution r\u00e9alisable" },
266    
267        // org.apache.commons.math.optimization.linear.UnboundedSolutionException
268        { "unbounded solution",
269          "solution non born\u00e9e" },
270    
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" },
276    
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" },
284    
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})" },
296    
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}" },
309    
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" },
313    
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" },
322    
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"  },
326    
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" },
332    
333        // org.apache.commons.math.random.EmpiricalDistributionImpl
334        { "distribution not loaded",
335          "aucune distribution n''a \u00e9t\u00e9 charg\u00e9e" },
336        { "no bin selected",
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}" },
341    
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" },
346    
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})" },
351    
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})" },
364    
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" },
371    
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" },
376    
377        // org.apache.commons.math.linear.decomposition.SingularMatrixException
378        { "matrix is singular",
379          "matrice singuli\u00e8re" },
380    
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}" },
384    
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}" },
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        // 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}" },
402          
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}"},
412    
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" },
427    
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}" },
433    
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" },
453    
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)" },
457    
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}" },
461    
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" },
473    
474       // org.apache.commons.math.complex.ComplexUtils
475       { "negative complex module {0}",
476         "module n\u00e9gatif ({0}) pour un nombre complexe" },
477    
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" },
483    
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" },
489    
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" },
523    
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" },
528    
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)" },
532    
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}" },
536    
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)" },
544    
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}" },
550    
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}]" },
555    
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}]" },
561    
562       // org.apache.commons.math.analysis.solvers.LaguerreSolver
563       { "function is not polynomial",
564         "la fonction n''est pas p\u00f4lynomiale" },
565    
566       // org.apache.commons.math.analysis.solvers.NewtonSolver
567       { "function is not differentiable",
568         "la fonction n''est pas diff\u00e9rentiable" },
569    
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}" },
573    
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}" },
579    
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}" },
589       { "null fraction",
590         "fraction nulle" },
591    
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" },
597    
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" },
602       { "zero norm",
603         "norme nulle" },
604    
605       // org.apache.commons.math.ConvergingAlgorithmImpl
606       { "no result available",
607         "aucun r\u00e9sultat n''est disponible" },
608    
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" },
614    
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" },
620    
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})" },
627    
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." },
636    
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" },
643    
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]" },
654    
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" },
660    
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" },
668    
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" },
675    
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" },
683    
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}" },
705    
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}" },
711    
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}" },
715    
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}" },
722    
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" },
726    
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" },
730    
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}]" },
740    
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})" },
746    
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})" },
750    
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})" },
755    
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})" },
760    
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})" },
766    
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})" },
776    
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})" },
781    
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})" },
786    
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})" },
791    
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})" },
796    
797       // org.apache.commons.math.distribution.WeibullDistributionImpl
798       { "shape must be positive ({0})",
799         "le facteur de forme doit \u00eatre positif ({0})" },
800    
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})" },
805    
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)" },
811    
812       // org.apache.commons.math.transform.FastHadamardTransformer
813       { "{0} is not a power of 2",
814         "{0} n''est pas une puissance de 2" },
815    
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}" },
830    
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" },
834    
835       // org.apache.commons.math.transform.FastSineTransformer
836       { "first element is not 0: {0}",
837         "le premier \u00e9l\u00e9ment n''est pas nul : {0}" },
838    
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" },
844    
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}" }
848    
849      };
850    
851    }