| /* |
| * Licensed to the Apache Software Foundation (ASF) under one or more |
| * contributor license agreements. See the NOTICE file distributed with |
| * this work for additional information regarding copyright ownership. |
| * The ASF licenses this file to You under the Apache License, Version 2.0 |
| * (the "License"); you may not use this file except in compliance with |
| * the License. You may obtain a copy of the License at |
| * |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, software |
| * distributed under the License is distributed on an "AS IS" BASIS, |
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| * See the License for the specific language governing permissions and |
| * limitations under the License. |
| */ |
| |
| package org.apache.commons.math; |
| |
| import java.util.ListResourceBundle; |
| |
| /** |
| * French localization message resources for the commons-math library. |
| * @version $Revision$ $Date$ |
| * @since 1.2 |
| */ |
| public class MessagesResources_fr |
| extends ListResourceBundle { |
| |
| /** |
| * Simple constructor. |
| */ |
| public MessagesResources_fr() { |
| } |
| |
| /** |
| * Get the non-translated/translated messages arrays from this resource bundle. |
| * @return non-translated/translated messages arrays |
| */ |
| @Override |
| public Object[][] getContents() { |
| return contents.clone(); |
| } |
| |
| /** Non-translated/translated messages arrays. */ |
| private static final Object[][] contents = { |
| |
| // org.apache.commons.math.util.MathUtils |
| { "must have n >= k for binomial coefficient (n,k), got n = {0}, k = {1}", |
| "n doit \u00eatre sup\u00e9rieur ou \u00e9gal \u00e0 k " + |
| "pour le coefficient du bin\u00f4me (n,k), or n = {0}, k = {1}" }, |
| { "must have n >= 0 for binomial coefficient (n,k), got n = {0}", |
| "n doit \u00eatre positif pour le coefficient du bin\u00f4me (n,k), or n = {0}" }, |
| { "must have n >= 0 for n!, got n = {0}", |
| "n doit \u00eatre positif pour le calcul de n!, or n = {0}" }, |
| { "overflow: gcd({0}, {1}) is 2^31", |
| "d\u00e9passement de capacit\u00e9 : le PGCD de {0} et {1} vaut 2^31" }, |
| { "cannot raise an integral value to a negative power ({0}^{1})", |
| "impossible d''\u00e9lever une valeur enti\u00e8re " + |
| "\u00e0 une puissance n\u00e9gative ({0}^{1})" }, |
| { "invalid rounding method {0}, valid methods: {1} ({2}), {3} ({4})," + |
| " {5} ({6}), {7} ({8}), {9} ({10}), {11} ({12}), {13} ({14}), {15} ({16})", |
| "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})" }, |
| |
| // org.apache.commons.math.FunctionEvaluationException |
| { "evaluation failed for argument = {0}", |
| "erreur d''\u00e9valuation pour l''argument {0}" }, |
| |
| // org.apache.commons.math.DuplicateSampleAbscissaException |
| { "Abscissa {0} is duplicated at both indices {1} and {2}", |
| "Abscisse {0} dupliqu\u00e9e aux indices {1} et {2}" }, |
| |
| // org.apache.commons.math.ConvergenceException |
| { "Convergence failed", |
| "\u00c9chec de convergence" }, |
| |
| // org.apache.commons.math.ArgumentOutsideDomainException |
| { "Argument {0} outside domain [{1} ; {2}]", |
| "Argument {0} hors du domaine [{1} ; {2}]" }, |
| |
| // org.apache.commons.math.MaxIterationsExceededException |
| { "Maximal number of iterations ({0}) exceeded", |
| "Nombre maximal d''it\u00e9rations ({0}) d\u00e9pass\u00e9" }, |
| |
| // org.apache.commons.math.MaxEvaluationsExceededException |
| { "Maximal number of evaluations ({0}) exceeded", |
| "Nombre maximal d''\u00e9valuations ({0}) d\u00e9pass\u00e9" }, |
| |
| // org.apache.commons.math.analysis.interpolation.SplineInterpolator |
| // org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm |
| // org.apache.commons.math.DimensionMismatchException |
| // org.apache.commons.math.optimization.LeastSquaresConverter |
| // org.apache.commons.math.optimization.direct.DirectSearchOptimizer |
| // org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer |
| // org.apache.commons.math.ode.ContinuousOutputModel |
| // org.apache.commons.math.random.UncorrelatedRandomVectorGenerator |
| // org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression |
| // org.apache.commons.math.stat.inference.ChiSquareTestImpl |
| { "dimension mismatch {0} != {1}", |
| "dimensions incompatibles {0} != {1}" }, |
| |
| // org.apache.commons.math.linear.decomposition.NotPositiveDefiniteMatrixException |
| { "not positive definite matrix", |
| "matrice non d\u00e9finie positive" }, |
| |
| // org.apache.commons.math.linear.decomposition.NotSymmetricMatrixException |
| { "not symmetric matrix", |
| "matrice non symm\u00e9trique" }, |
| |
| // org.apache.commons.math.fraction.FractionConversionException |
| { "Unable to convert {0} to fraction after {1} iterations", |
| "Impossible de convertir {0} en fraction apr\u00e8s {1} it\u00e9rations" }, |
| { "Overflow trying to convert {0} to fraction ({1}/{2})", |
| "D\u00e9passement de capacit\u00e9 lors de la conversion de {0} en fraction ({1}/{2})" }, |
| |
| // org.apache.commons.math.fraction.BigFraction |
| { "numerator is null", |
| "le num\u00e9rateur est null" }, |
| { "denimonator is null", |
| "le d\u00e9nominateur est null" }, |
| { "denominator must be different from 0", |
| "le d\u00e9nominateur doit \u00eatre diff\u00e9rent de 0" }, |
| { "cannot convert NaN value", |
| "les valeurs NaN ne peuvent \u00eatre converties" }, |
| { "cannot convert infinite value", |
| "les valeurs infinies ne peuvent \u00eatre converties" }, |
| |
| // org.apache.commons.math.fraction.AbstractFormat |
| { "denominator format can not be null", |
| "le format du d\u00e9nominateur ne doit pas \u00eatre nul" }, |
| { "numerator format can not be null", |
| "le format du num\u00e9rateur ne doit pas \u00eatre nul" }, |
| |
| // org.apache.commons.math.fraction.FractionFormat |
| { "cannot convert given object to a fraction number: {0}", |
| "impossible de convertir l''objet sous forme d''un nombre rationnel : {0}" }, |
| |
| // org.apache.commons.math.fraction.FractionFormat |
| // org.apache.commons.math.fraction.BigFractionFormat |
| { "unparseable fraction number: \"{0}\"", |
| "\u00e9chec d''analyse du nombre rationnel \"{0}\"" }, |
| { "cannot format given object as a fraction number", |
| "impossible de formater l''objet sous forme d''un nombre rationnel" }, |
| |
| // org.apache.commons.math.fraction.ProperFractionFormat |
| // org.apache.commons.math.fraction.ProperBigFractionFormat |
| { "whole format can not be null", |
| "le format complet ne doit pas \u00eatre nul" }, |
| |
| // org.apache.commons.math.analysis.solvers.UnivariateRealSolverUtils |
| { "function is null", |
| "la fonction est nulle" }, |
| { "bad value for maximum iterations number: {0}", |
| "valeur invalide pour le nombre maximal d''it\u00e9rations : {0}" }, |
| { "invalid bracketing parameters: lower bound={0}, initial={1}, upper bound={2}", |
| "param\u00e8tres d''encadrement invalides : borne inf\u00e9rieure = {0}, valeur initiale = {1}, borne sup\u00e9rieure = {2}" }, |
| { "number of iterations={0}, maximum iterations={1}, initial={2}, lower bound={3}, upper bound={4}," + |
| " final a value={5}, final b value={6}, f(a)={7}, f(b)={8}", |
| "nombre d''it\u00e9rations = {0}, it\u00e9rations maximum = {1}, valeur initiale = {2}," + |
| " borne inf\u00e9rieure = {3}, borne sup\u00e9rieure = {4}," + |
| " valeur a finale = {5}, valeur b finale = {6}, f(a) = {7}, f(b) = {8}" }, |
| |
| // org.apache.commons.math.analysis.solvers.LaguerreSolver |
| { "polynomial degree must be positive: degree={0}", |
| "le polyn\u00f4me doit \u00eatre de degr\u00e9 positif : degr\u00e9 = {0}" }, |
| |
| // org.apache.commons.math.analysis.solvers.SecantSolver |
| { "function values at endpoints do not have different signs, endpoints: [{0}, {1}], values: [{2}, {3}]", |
| "les valeurs de la fonctions aux bornes sont de m\u00eame signe, bornes : [{0}, {1}], valeurs : [{2}, {3}]" }, |
| |
| // org.apache.commons.math.analysis.interpolation.SplineInterpolator |
| // org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm |
| { "{0} points are required, got only {1}", |
| "{0} sont n\u00e9cessaires, seuls {1} ont \u00e9t\u00e9 fournis" }, |
| |
| // org.apache.commons.math.analysis.interpolation.SplineInterpolator |
| { "points {0} and {1} are not strictly increasing ({2} >= {3})", |
| "les points {0} et {1} ne sont pas strictements croissants ({2} >= {3})" }, |
| |
| // org.apache.commons.math.analysis.interpolation.LoessInterpolator |
| { "bandwidth must be in the interval [0,1], but got {0}", |
| "la largeur de bande doit \u00eatre dans l''intervalle [0, 1], alors qu'elle vaut {0}" }, |
| { "the number of robustness iterations must be non-negative, but got {0}", |
| "le nombre d''it\u00e9rations robuste ne peut \u00eatre n\u00e9gatif, alors qu''il est de {0}" }, |
| { "Loess expects the abscissa and ordinate arrays to be of the same size, " + |
| "but got {0} abscisssae and {1} ordinatae", |
| "la r\u00e9gression Loess n\u00e9cessite autant d''abscisses que d''ordonn\u00e9es, " + |
| "mais {0} abscisses et {1} ordonn\u00e9es ont \u00e9t\u00e9 fournies" }, |
| { "Loess expects at least 1 point", |
| "la r\u00e9gression Loess n\u00e9cessite au moins un point" }, |
| { "the bandwidth must be large enough to accomodate at least 2 points. There are {0} " + |
| " data points, and bandwidth must be at least {1} but it is only {2}", |
| "la largeur de bande doit \u00eatre assez grande pour supporter au moins 2 points. Il y a {0}" + |
| "donn\u00e9es et la largeur de bande doit \u00eatre au moins de {1}, or elle est seulement de {2}" }, |
| { "all abscissae must be finite real numbers, but {0}-th is {1}", |
| "toutes les abscisses doivent \u00eatre des nombres r\u00e9els finis, mais l''abscisse {0} vaut {1}" }, |
| { "all ordinatae must be finite real numbers, but {0}-th is {1}", |
| "toutes les ordonn\u00e9es doivent \u00eatre des nombres r\u00e9els finis, mais l''ordonn\u00e9e {0} vaut {1}" }, |
| { "the abscissae array must be sorted in a strictly increasing order, " + |
| "but the {0}-th element is {1} whereas {2}-th is {3}", |
| "les abscisses doivent \u00eatre en ordre strictement croissant, " + |
| "mais l''\u00e9l\u00e9ment {0} vaut {1} alors que l''\u00e9l\u00e9ment {2} vaut {3}" }, |
| |
| // org.apache.commons.math.util.ContinuedFraction |
| { "Continued fraction convergents diverged to +/- infinity for value {0}", |
| "Divergence de fraction continue \u00e0 l''infini pour la valeur {0}" }, |
| { "Continued fraction convergents failed to converge for value {0}", |
| "\u00c9chec de convergence de fraction continue pour la valeur {0}" }, |
| |
| // org.apache.commons.math.util.DefaultTransformer |
| { "Conversion Exception in Transformation, Object is null", |
| "Exception de conversion dans une transformation, l''objet est nul" }, |
| { "Conversion Exception in Transformation: {0}", |
| "Exception de conversion dans une transformation : {0}" }, |
| |
| // org.apache.commons.math.optimization.MultiStartOptimizer |
| { "no optimum computed yet", |
| "aucun optimum n''a encore \u00e9t\u00e9 calcul\u00e9" }, |
| |
| // org.apache.commons.math.optimization.direct.DirectSearchOptimizer |
| { "simplex must contain at least one point", |
| "le simplex doit contenir au moins un point" }, |
| { "equals vertices {0} and {1} in simplex configuration", |
| "sommets {0} et {1} \u00e9gaux dans la configuration du simplex" }, |
| |
| // org.apache.commons.math.estimation.AbstractEstimation |
| { "maximal number of evaluations exceeded ({0})", |
| "nombre maximal d''\u00e9valuations d\u00e9pass\u00e9 ({0})" }, |
| |
| // org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer |
| { "unable to compute covariances: singular problem", |
| "impossible de calculer les covariances : probl\u00e8me singulier"}, |
| { "no degrees of freedom ({0} measurements, {1} parameters)", |
| "aucun degr\u00e9 de libert\u00e9 ({0} mesures, {1} param\u00e8tres)" }, |
| |
| // org.apache.commons.math.optimization.general.GaussNewtonOptimizer |
| { "unable to solve: singular problem", |
| "r\u00e9solution impossible : probl\u00e8me singulier" }, |
| |
| // org.apache.commons.math.optimization.general.LevenbergMarquardtEstimator |
| { "cost relative tolerance is too small ({0}), no further reduction in the sum of squares is possible", |
| "trop petite tol\u00e9rance relative sur le co\u00fbt ({0}), aucune r\u00e9duction de la somme des carr\u00e9s n''est possible" }, |
| { "parameters relative tolerance is too small ({0}), no further improvement in the approximate solution is possible", |
| "trop petite tol\u00e9rance relative sur les param\u00e8tres ({0}), aucune am\u00e9lioration de la solution approximative n''est possible" }, |
| { "orthogonality tolerance is too small ({0}), solution is orthogonal to the jacobian", |
| "trop petite tol\u00e9rance sur l''orthogonalit\u00e9 ({0}), la solution est orthogonale \u00e0 la jacobienne" }, |
| { "unable to perform Q.R decomposition on the {0}x{1} jacobian matrix", |
| "impossible de calculer la factorisation Q.R de la matrice jacobienne {0}x{1}" }, |
| |
| // org.apache.commons.math.optimization.general.NonLinearConjugateGradientOptimizer |
| { "unable to bracket optimum in line search", |
| "impossible d''encadrer l''optimum lors de la recherche lin\u00e9aire" }, |
| |
| // org.apache.commons.math.optimization.fitting.HarmonicCoefficientsGuesser |
| { "unable to first guess the harmonic coefficients", |
| "impossible de faire une premi\u00e8re estimation des coefficients harmoniques" }, |
| |
| // org.apache.commons.math.optimization.fitting.HarmonicCoefficientsGuesser |
| { "sample contains {0} observed points, at least {1} are required", |
| "l''\u00e9chantillon ne contient que {0} points alors qu''au moins {1} sont n\u00e9cessaires" }, |
| |
| // org.apache.commons.math.optimization.linear.NoFeasibleSolutionException |
| { "no feasible solution", |
| "aucune solution r\u00e9alisable" }, |
| |
| // org.apache.commons.math.optimization.linear.UnboundedSolutionException |
| { "unbounded solution", |
| "solution non born\u00e9e" }, |
| |
| // org.apache.commons.math.geometry.CardanEulerSingularityException |
| { "Cardan angles singularity", |
| "singularit\u00e9 d''angles de Cardan" }, |
| { "Euler angles singularity", |
| "singularit\u00e9 d''angles d''Euler" }, |
| |
| // org.apache.commons.math.geometry.Rotation |
| { "a {0}x{1} matrix cannot be a rotation matrix", |
| "une matrice {0}x{1} ne peut pas \u00eatre une matrice de rotation" }, |
| { "the closest orthogonal matrix has a negative determinant {0}", |
| "la matrice orthogonale la plus proche a un d\u00e9terminant n\u00e9gatif {0}" }, |
| { "unable to orthogonalize matrix in {0} iterations", |
| "impossible de rendre la matrice orthogonale en {0} it\u00e9rations" }, |
| |
| // org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator |
| { "minimal step size ({0}) reached, integration needs {1}", |
| "pas minimal ({0}) atteint, l''int\u00e9gration n\u00e9cessite {1}" }, |
| { "dimensions mismatch: state vector has dimension {0}," + |
| " absolute tolerance vector has dimension {1}", |
| "incompatibilit\u00e9 de dimensions entre le vecteur d''\u00e9tat ({0})," + |
| " et le vecteur de tol\u00e9rance absolue ({1})" }, |
| { "dimensions mismatch: state vector has dimension {0}," + |
| " relative tolerance vector has dimension {1}", |
| "incompatibilit\u00e9 de dimensions entre le vecteur d''\u00e9tat ({0})," + |
| " et le vecteur de tol\u00e9rance relative ({1})" }, |
| |
| // org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator, |
| // org.apache.commons.math.ode.nonstiff.RungeKuttaIntegrator |
| { "dimensions mismatch: ODE problem has dimension {0}," + |
| " initial state vector has dimension {1}", |
| "incompatibilit\u00e9 de dimensions entre le probl\u00e8me ODE ({0})," + |
| " et le vecteur d''\u00e9tat initial ({1})" }, |
| { "dimensions mismatch: ODE problem has dimension {0}," + |
| " final state vector has dimension {1}", |
| "incompatibilit\u00e9 de dimensions entre le probl\u00e8me ODE ({0})," + |
| " et le vecteur d''\u00e9tat final ({1})" }, |
| { "too small integration interval: length = {0}", |
| "intervalle d''int\u00e9gration trop petit : {0}" }, |
| |
| // org.apache.commons.math.ode.MultistepIntegrator |
| { "{0} method needs at least one previous point", |
| "la m\u00e9thode {0} n\u00e9cessite au moins un point pr\u00e9c\u00e9dent" }, |
| |
| // org.apache.commons.math.ode.ContinuousOutputModel |
| // org.apache.commons.math.optimization.direct.DirectSearchOptimizer |
| { "unexpected exception caught", |
| "exception inattendue lev\u00e9e" }, |
| { "propagation direction mismatch", |
| "directions de propagation incoh\u00e9rentes" }, |
| { "{0} wide hole between models time ranges", |
| "trou de longueur {0} entre les domaines temporels des mod\u00e8les" }, |
| |
| // org.apache.commons.math.optimization.direct.DirectSearchOptimizer |
| { "none of the {0} start points lead to convergence", |
| "aucun des {0} points de d\u00e9part n''aboutit \u00e0 une convergence" }, |
| |
| // org.apache.commons.math.random.ValueServer |
| { "unknown mode {0}, known modes: {1} ({2}), {3} ({4}), {5} ({6}), {7} ({8}), {9} ({10}) and {11} ({12})", |
| "mode {0} inconnu, modes connus : {1} ({2}), {3} ({4}), {5} ({6}), {7} ({8}), {9} ({10}) et {11} ({12})" }, |
| { "digest not initialized", |
| "mod\u00e8le empirique non initialis\u00e9" }, |
| |
| // org.apache.commons.math.random.EmpiricalDistributionImpl |
| { "distribution not loaded", |
| "aucune distribution n''a \u00e9t\u00e9 charg\u00e9e" }, |
| { "no bin selected", |
| "aucun compartiment s\u00e9lectionn\u00e9" }, |
| { "input data comes from unsupported datasource: {0}, supported sources: {1}, {2}", |
| "les donn\u00e9es d''entr\u00e9e proviennent " + |
| "d''une source non support\u00e9e : {0}, sources support\u00e9es : {1}, {2}" }, |
| |
| // org.apache.commons.math.random.EmpiricalDistributionImpl |
| // org.apache.commons.math.random.ValueServer |
| { "URL {0} contains no data", |
| "l''adresse {0} ne contient aucune donn\u00e9e" }, |
| |
| // org.apache.commons.math.random.AbstractRandomGenerator |
| // org.apache.commons.math.random.BitsStreamGenerator |
| { "upper bound must be positive ({0})", |
| "la borne sup\u00e9rieure doit \u00eatre positive ({0})" }, |
| |
| // org.apache.commons.math.random.RandomDataImpl |
| { "length must be positive ({0})", |
| "la longueur doit \u00eatre positive ({0})" }, |
| { "upper bound ({0}) must be greater than lower bound ({1})", |
| "la borne sup\u00e9rieure ({0}) doit \u00eatre sup\u00e9rieure" + |
| " \u00e0 la borne inf\u00e9rieure ({1})" }, |
| { "permutation k ({0}) exceeds n ({1})", |
| "la permutation k ({0}) d\u00e9passe n ({1})" }, |
| { "permutation k ({0}) must be positive", |
| "la permutation k ({0}) doit \u00eatre positive" }, |
| { "sample size ({0}) exceeds collection size ({1})", |
| "la taille de l''\u00e9chantillon ({0}) d\u00e9passe la taille de la collection ({1})" }, |
| |
| // org.apache.commons.math.linear.decomposition.EigenDecompositionImpl |
| { "cannot solve degree {0} equation", |
| "impossible de r\u00e9soudre une \u00e9quation de degr\u00e9 {0}" }, |
| { "eigen decomposition of assymetric matrices not supported yet", |
| "la d\u00e9composition en valeurs/vecteurs propres de matrices " + |
| "non sym\u00e9triques n''est pas encore disponible" }, |
| |
| // org.apache.commons.math.linear.decomposition.NonSquareMatrixException |
| // org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression |
| { "a {0}x{1} matrix was provided instead of a square matrix", |
| "une matrice {0}x{1} a \u00e9t\u00e9 fournie \u00e0 la place d''une matrice carr\u00e9e" }, |
| |
| // org.apache.commons.math.linear.decomposition.SingularMatrixException |
| { "matrix is singular", |
| "matrice singuli\u00e8re" }, |
| |
| // org.apache.commons.math.linear.decomposition.SingularValueDecompositionImpl |
| { "cutoff singular value is {0}, should be at most {1}", |
| "la valeur singuli\u00e8re de coupure vaut {0}, elle ne devrait pas d\u00e9passer {1}" }, |
| |
| // org.apache.commons.math.linear.decomposition.CholeskyDecompositionImpl |
| // org.apache.commons.math.linear.decomposition.EigenDecompositionImpl |
| // org.apache.commons.math.linear.decomposition.LUDecompositionImpl |
| // org.apache.commons.math.linear.decomposition.QRDecompositionImpl |
| // org.apache.commons.math.linear.decomposition.SingularValueDecompositionImpl |
| { "dimensions mismatch: got {0}x{1} but expected {2}x{3}", |
| "dimensions erronn\u00e9es : {0}x{1} \u00e0 la place de {2}x{3}" }, |
| |
| // org.apache.commons.math.linear.decomposition.CholeskyDecompositionImpl |
| // org.apache.commons.math.linear.decomposition.EigenDecompositionImpl |
| // org.apache.commons.math.linear.decomposition.LUDecompositionImpl |
| // org.apache.commons.math.linear.decomposition.QRDecompositionImpl |
| // org.apache.commons.math.linear.decomposition.SingularValueDecompositionImpl |
| // org.apache.commons.math.linear.ArrayRealVector |
| // org.apache.commons.math.linear.SparseRealVector |
| { "vector length mismatch: got {0} but expected {1}", |
| "dimension de vecteur erronn\u00e9e : {0} \u00e0 la place de {1}" }, |
| |
| // org.apache.commons.math.linear.ArrayRealVector |
| // org.apache.commons.math.linear.ArrayFieldVector |
| // org.apache.commons.math.linear.SparseRealVector |
| { "index {0} out of allowed range [{1}, {2}]", |
| "index {0} hors de la plage autoris\u00e9e [{1}, {2}]" }, |
| { "vector must have at least one element", |
| "un vecteur doit comporter au moins un \u00e9l\u00e9ment" }, |
| { "position {0} and size {1} don't fit to the size of the input array {2}", |
| "la position {0} et la taille {1} sont incompatibles avec la taille du tableau d''entr\u00e9e {2}"}, |
| |
| // org.apache.commons.math.linear.AbstractRealMatrix |
| // org.apache.commons.math.linear.AbstractFieldMatrix |
| { "invalid row dimension: {0} (must be positive)", |
| "nombre de lignes invalide : {0} (doit \u00eatre positif)" }, |
| { "invalid column dimension: {0} (must be positive)", |
| "nombre de colonnes invalide : {0} (doit \u00eatre positif)" }, |
| { "vector length mismatch: got {0} but expected {1}", |
| "taille de vecteur invalide : {0} au lieu de {1} attendue" }, |
| { "dimensions mismatch: got {0}x{1} but expected {2}x{3}", |
| "dimensions incoh\u00e9rentes : {0}x{1} \u00e0 la place de {2}x{3}" }, |
| { "matrix must have at least one row", |
| "une matrice doit comporter au moins une ligne" }, |
| { "matrix must have at least one column", |
| "une matrice doit comporter au moins une colonne" }, |
| |
| // org.apache.commons.math.linear.AbstractRealMatrix |
| // org.apache.commons.math.linear.AbstractFieldMatrix |
| // org.apache.commons.math.stat.inference.ChiSquareTestImpl |
| { "some rows have length {0} while others have length {1}", |
| "certaines lignes ont une longueur de {0} alors que d''autres ont une longueur de {1}" }, |
| |
| // org.apache.commons.math.linear.MatrixUtils |
| { "row index {0} out of allowed range [{1}, {2}]", |
| "index de ligne {0} hors de la plage autoris\u00e9e [{1}, {2}]" }, |
| { "column index {0} out of allowed range [{1}, {2}]", |
| "index de colonne {0} hors de la plage autoris\u00e9e [{1}, {2}]" }, |
| { "initial row {0} after final row {1}", |
| "ligne initiale {0} apr\u00e8s la ligne finale {1}" }, |
| { "initial column {0} after final column {1}", |
| "colonne initiale {0} apr\u00e8s la colonne finale {1}" }, |
| { "empty selected row index array", |
| "tableau des indices de lignes s\u00e9lectionn\u00e9es vide" }, |
| { "empty selected column index array", |
| "tableau des indices de colonnes s\u00e9lectionn\u00e9es vide" }, |
| { "{0}x{1} and {2}x{3} matrices are not addition compatible", |
| "les dimensions {0}x{1} et {2}x{3} sont incompatibles pour l'addition matricielle" }, |
| { "{0}x{1} and {2}x{3} matrices are not subtraction compatible", |
| "les dimensions {0}x{1} et {2}x{3} sont incompatibles pour la soustraction matricielle" }, |
| { "{0}x{1} and {2}x{3} matrices are not multiplication compatible", |
| "les dimensions {0}x{1} et {2}x{3} sont incompatibles pour la multiplication matricielle" }, |
| |
| // org.apache.commons.math.linear.BlockRealMatrix |
| { "wrong array shape (block length = {0}, expected {1})", |
| "forme de tableau erron\u00e9e (bloc de longueur {0} au lieu des {1} attendus)" }, |
| |
| // org.apache.commons.math.complex.Complex |
| { "cannot compute nth root for null or negative n: {0}", |
| "impossible de calculer la racine ni\u00e8me pour n n\u00e9gatif ou nul : {0}" }, |
| |
| // org.apache.commons.math.complex.ComplexFormat |
| { "unparseable complex number: \"{0}\"", |
| "\u00e9chec d''analyse du nombre complexe \"{0}\"" }, |
| { "cannot format a {0} instance as a complex number", |
| "impossible de formater une instance de {0} comme un nombre complexe" }, |
| { "empty string for imaginary character", |
| "cha\u00eene vide pour le caract\u00e8 imaginaire" }, |
| { "null imaginary format", |
| "format imaginaire nul" }, |
| { "null real format", |
| "format r\u00e9el nul" }, |
| |
| // org.apache.commons.math.complex.ComplexUtils |
| { "negative complex module {0}", |
| "module n\u00e9gatif ({0}) pour un nombre complexe" }, |
| |
| // org.apache.commons.math.geometry.Vector3DFormat |
| { "unparseable 3D vector: \"{0}\"", |
| "\u00e9chec d''analyse du vecteur de dimension 3 \"{0}\"" }, |
| { "cannot format a {0} instance as a 3D vector", |
| "impossible de formater une instance de {0} comme un vecteur de dimension 3" }, |
| |
| // org.apache.commons.math.linear.RealVectorFormat |
| { "unparseable real vector: \"{0}\"", |
| "\u00e9chec d''analyse du vecteur r\u00e9el \"{0}\"" }, |
| { "cannot format a {0} instance as a real vector", |
| "impossible de formater une instance de {0} comme un vecteur r\u00e9el" }, |
| |
| // org.apache.commons.math.util.ResizableDoubleArray |
| { "the index specified: {0} is larger than the current maximal index {1}", |
| "l''index sp\u00e9cifi\u00e9 ({0}) d\u00e9passe l''index maximal courant ({1})" }, |
| { "elements cannot be retrieved from a negative array index {0}", |
| "impossible d''extraire un \u00e9l\u00e9ment \u00e0 un index n\u00e9gatif ({0})" }, |
| { "cannot set an element at a negative index {0}", |
| "impossible de mettre un \u00e9l\u00e9ment \u00e0 un index n\u00e9gatif ({0})" }, |
| { "cannot substitute an element from an empty array", |
| "impossible de substituer un \u00e9l\u00e9ment dans un tableau vide" }, |
| { "contraction criteria ({0}) smaller than the expansion factor ({1}). This would " + |
| "lead to a never ending loop of expansion and contraction as a newly expanded " + |
| "internal storage array would immediately satisfy the criteria for contraction.", |
| "crit\u00e8re de contraction ({0}) inf\u00e9rieur au facteur d''extension. Ceci " + |
| "induit une boucle infinie d''extensions/contractions car tout tableau de stockage " + |
| "fra\u00eechement \u00e9tendu respecte imm\u00e9diatement le crit\u00e8re de contraction."}, |
| { "contraction criteria smaller than one ({0}). This would lead to a never ending " + |
| "loop of expansion and contraction as an internal storage array length equal " + |
| "to the number of elements would satisfy the contraction criteria.", |
| "crit\u00e8re de contraction inf\u00e9rieur \u00e0 un ({0}). Ceci induit une boucle " + |
| "infinie d''extensions/contractions car tout tableau de stockage de longueur \u00e9gale " + |
| "au nombre d''\u00e9l\u00e9ments respecte le crit\u00e8re de contraction." }, |
| { "expansion factor smaller than one ({0})", |
| "facteur d''extension inf\u00e9rieur \u00e0 un ({0})"}, |
| { "cannot discard {0} elements from a {1} elements array", |
| "impossible d''enlever {0} \u00e9l\u00e9ments d''un tableau en contenant {1}"}, |
| { "cannot discard a negative number of elements ({0})", |
| "impossible d''enlever un nombre d''\u00e9l\u00e9ments{0} n\u00e9gatif"}, |
| { "unsupported expansion mode {0}, supported modes are {1} ({2}) and {3} ({4})", |
| "mode d''extension {0} no support\u00e9, les modes support\u00e9s sont {1} ({2}) et {3} ({4})" }, |
| { "initial capacity ({0}) is not positive", |
| "la capacit\u00e9 initiale ({0}) n''est pas positive" }, |
| { "index ({0}) is not positive", |
| "l''indice ({0}) n''est pas positif" }, |
| |
| // org.apache.commons.math.analysis.polynomials.PolynomialFunction |
| // org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm |
| { "empty polynomials coefficients array", |
| "tableau de coefficients polyn\u00f4miaux vide" }, |
| |
| // org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm |
| { "array sizes should have difference 1 ({0} != {1} + 1)", |
| "les tableaux devraient avoir une diff\u00e9rence de taille de 1 ({0} != {1} + 1)" }, |
| |
| // org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm |
| { "identical abscissas x[{0}] == x[{1}] == {2} cause division by zero", |
| "division par z\u00e9ro caus\u00e9e par les abscisses identiques x[{0}] == x[{1}] == {2}" }, |
| |
| // org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction |
| { "spline partition must have at least {0} points, got {1}", |
| "une partiction spline n\u00e9cessite au moins {0} points, seuls {1} ont \u00e9t\u00e9 fournis" }, |
| { "knot values must be strictly increasing", |
| "les n\u0153uds d''interpolation doivent \u00eatre strictement croissants" }, |
| { "number of polynomial interpolants must match the number of segments ({0} != {1} - 1)", |
| "le nombre d''interpolants polyn\u00f4miaux doit correspondre au nombre de segments ({0} != {1} - 1)" }, |
| |
| // org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl |
| { "function to solve cannot be null", |
| "la fonction \u00e0 r\u00e9soudre ne peux pas \u00eatre nulle" }, |
| { "invalid interval, initial value parameters: lower={0}, initial={1}, upper={2}", |
| "param\u00e8tres de l''intervalle initial invalides : borne inf = {0}, valeur initiale = {1}, borne sup = {2}" }, |
| |
| // org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl |
| // org.apache.commons.math.analysis.solvers.BrentSolver |
| { "function values at endpoints do not have different signs. Endpoints: [{0}, {1}], Values: [{2}, {3}]", |
| "les valeurs de la fonction aux bornes n''ont pas des signes diff\u00e9rents. Bornes : [{0}, {1}], valeurs : [{2}, {3}]" }, |
| |
| // org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl |
| // org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl |
| // org.apache.commons.math.transform.FastFourierTransformer |
| { "endpoints do not specify an interval: [{0}, {1}]", |
| "les extr\u00e9mit\u00e9s ne constituent pas un intervalle : [{0}, {1}]" }, |
| |
| // org.apache.commons.math.analysis.solvers.LaguerreSolver |
| { "function is not polynomial", |
| "la fonction n''est pas p\u00f4lynomiale" }, |
| |
| // org.apache.commons.math.analysis.solvers.NewtonSolver |
| { "function is not differentiable", |
| "la fonction n''est pas diff\u00e9rentiable" }, |
| |
| // org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl |
| { "invalid iteration limits: min={0}, max={1}", |
| "limites d''it\u00e9rations invalides : min = {0}, max = {1}" }, |
| |
| // org.apache.commons.math.analysis.integration.LegendreGaussIntegrator |
| { "{0} points Legendre-Gauss integrator not supported," + |
| " number of points must be in the {1}-{2} range", |
| "int\u00e9grateur de Legendre-Gauss non support\u00e9 en {0} points, " + |
| "le nombre de points doit \u00eatre entre {1} et {2}" }, |
| |
| // org.apache.commons.math.fraction.Fraction |
| { "zero denominator in fraction {0}/{1}", |
| "d\u00e9nominateur null dans le nombre rationnel {0}/{1}" }, |
| { "overflow in fraction {0}/{1}, cannot negate", |
| "d\u00e9passement de capacit\u00e9 pour la fraction {0}/{1}, son signe ne peut \u00eatre chang\u00e9" }, |
| { "overflow, numerator too large after multiply: {0}", |
| "d\u00e9passement de capacit\u00e9 pour le num\u00e9rateur apr\u00e8s multiplication : {0}" }, |
| { "the fraction to divide by must not be zero: {0}/{1}", |
| "division par un nombre rationnel nul : {0}/{1}" }, |
| { "null fraction", |
| "fraction nulle" }, |
| |
| // org.apache.commons.math.geometry.Rotation |
| { "zero norm for rotation axis", |
| "norme nulle pour un axe de rotation" }, |
| { "zero norm for rotation defining vector", |
| "norme nulle pour un axe de d\u00e9finition de rotation" }, |
| |
| // org.apache.commons.math.geometry.Vector3D |
| // org.apache.commons.math.linear.ArrayRealVector |
| { "cannot normalize a zero norm vector", |
| "impossible de normer un vecteur de norme nulle" }, |
| { "zero norm", |
| "norme nulle" }, |
| |
| // org.apache.commons.math.ConvergingAlgorithmImpl |
| { "no result available", |
| "aucun r\u00e9sultat n''est disponible" }, |
| |
| // org.apache.commons.math.linear.BigMatrixImpl |
| { "first {0} rows are not initialized yet", |
| "les {0} premi\u00e8res lignes ne sont pas encore initialis\u00e9es" }, |
| { "first {0} columns are not initialized yet", |
| "les {0} premi\u00e8res colonnes ne sont pas encore initialis\u00e9es" }, |
| |
| // org.apache.commons.math.stat.Frequency |
| { "class ({0}) does not implement Comparable", |
| "la classe ({0}) n''implante pas l''interface Comparable" }, |
| { "instance of class {0} not comparable to existing values", |
| "l''instance de la classe {0} n''est pas comparable aux valeurs existantes" }, |
| |
| // org.apache.commons.math.stat.StatUtils |
| { "input arrays must have the same positive length ({0} and {1})", |
| "les tableaux d''entr\u00e9e doivent avoir la m\u00eame taille positive ({0} et {1})" }, |
| { "input arrays must have the same length and at least two elements ({0} and {1})", |
| "les tableaux d''entr\u00e9e doivent avoir la m\u00eame taille" + |
| " et au moins deux \u00e9l\u00e9ments ({0} et {1})" }, |
| |
| // org.apache.commons.math.stat.correlation.Covariance |
| { "arrays must have the same length and both must have at " + |
| "least two elements. xArray has size {0}, yArray has {1} elements", |
| "les tableaux doivent avoir la m\u00eame taille " + |
| "et comporter au moins deux \u00e9l\u00e9ments. " + |
| "xArray a une taille de {0}, yArray a {1} \u00e9l\u00e9ments"}, |
| { "insufficient data: only {0} rows and {1} columns.", |
| "donn\u00e9es insuffisantes : seulement {0} lignes et {1} colonnes." }, |
| |
| // org.apache.commons.math.stat.correlation.PearsonsCorrelation |
| { "covariance matrix is null", |
| "la matrice de covariance est nulle" }, |
| { "invalid array dimensions. xArray has size {0}; yArray has {1} elements", |
| "dimensions de tableaux invalides. xArray a une taille de {0}, " + |
| "yArray a {1} \u00e9l\u00e9ments" }, |
| |
| // org.apache.commons.math.stat.descriptive.DescriptiveStatistics |
| { "window size must be positive ({0})", |
| "la taille de la fen\u00eatre doit \u00eatre positive ({0})" }, |
| { "percentile implementation {0} does not support setQuantile", |
| "l''implantation de pourcentage {0} ne dispose pas de la m\u00e9thode setQuantile" }, |
| { "cannot access setQuantile method in percentile implementation {0}", |
| "acc\u00e8s impossible \u00e0 la m\u00e9thode setQuantile" + |
| " dans l''implantation de pourcentage {0}" }, |
| { "out of bounds quantile value: {0}, must be in (0, 100]", |
| "valeur de quantile {0} hors bornes, doit \u00eatre dans l''intervalle ]0, 100]" }, |
| |
| // org.apache.commons.math.stat.descriptive.moment.Variance |
| // org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic |
| // org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic |
| { "input values array is null", |
| "le tableau des valeurs d''entr\u00e9es est nul" }, |
| |
| // org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic |
| { "start position cannot be negative ({0})", |
| "la position de d\u00e9part ne peut pas \u00eatre n\u00e9gative" }, |
| { "length cannot be negative ({0})", |
| "la longueur ne peut pas \u00eatre n\u00e9gative" }, |
| { "subarray ends after array end", |
| "le sous-tableau se termine apr\u00e8s la fin du tableau" }, |
| |
| // org.apache.commons.math.stat.descriptive.moment.GeometricMean |
| // org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics |
| // org.apache.commons.math.stat.descriptive.SummaryStatistics |
| { "{0} values have been added before statistic is configured", |
| "{0} valeurs ont \u00e9t\u00e9 ajout\u00e9es " + |
| "avant que la statistique ne soit configur\u00e9e" }, |
| |
| // org.apache.commons.math.stat.descriptive.moment.Kurtosis |
| { "statistics constructed from external moments cannot be incremented", |
| "les statistiques bas\u00e9es sur des moments externes " + |
| "ne peuvent pas \u00eatre incr\u00e9ment\u00e9es" }, |
| { "statistics constructed from external moments cannot be cleared", |
| "les statistiques bas\u00e9es sur des moments externes " + |
| "ne peuvent pas \u00eatre remises \u00e0 z\u00e9ro" }, |
| |
| // org.apache.commons.math.stat.inference.ChiSquareTestImpl |
| { "expected array length = {0}, must be at least 2", |
| "le tableau des valeurs attendues a une longueur de {0}, elle devrait \u00eatre au moins de 2" }, |
| { "observed array length = {0}, must be at least 2", |
| "le tableau des valeurs observ\u00e9es a une longueur de {0}, elle devrait \u00eatre au moins de 2" }, |
| { "observed counts are all 0 in first observed array", |
| "aucune occurrence dans le premier tableau des observations" }, |
| { "observed counts are all 0 in second observed array", |
| "aucune occurrence dans le second tableau des observations" }, |
| { "observed counts are both zero for entry {0}", |
| "les occurrences observ\u00e9es sont toutes deux nulles pour l'entr\u00e9e {0}" }, |
| { "invalid row dimension: {0} (must be at least 2)", |
| "nombre de lignes invalide : {0} (doit \u00eatre au moins de 2)" }, |
| { "invalid column dimension: {0} (must be at least 2)", |
| "nombre de colonnes invalide : {0} (doit \u00eatre au moins de 2)" }, |
| { "element {0} is not positive: {1}", |
| "l''\u00e9l\u00e9ment {0} n''est pas positif : {1}" }, |
| { "element {0} is negative: {1}", |
| "l''\u00e9l\u00e9ment {0} est n\u00e9gatif : {1}" }, |
| { "element ({0}, {1}) is negative: {2}", |
| "l''\u00e9l\u00e9ment ({0}, {1}) est n\u00e9gatif : {2}" }, |
| |
| // org.apache.commons.math.stat.inference.OneWayAnovaImpl |
| { "two or more categories required, got {0}", |
| "deux cat\u00e9gories ou plus sont n\u00e9cessaires, il y en a {0}" }, |
| { "two or more values required in each category, one has {0}", |
| "deux valeurs ou plus sont n\u00e9cessaires pour chaque cat\u00e9gorie, une cat\u00e9gorie en a {0}" }, |
| |
| // org.apache.commons.math.stat.inference.TTestImpl |
| { "insufficient data for t statistic, needs at least 2, got {0}", |
| "deux valeurs ou plus sont n\u00e9cessaires pour la statistique t, il y en a {0}" }, |
| |
| // org.apache.commons.math.stat.inference.ChiSquareTestImpl |
| // org.apache.commons.math.stat.inference.TTestImpl |
| // org.apache.commons.math.stat.inference.OneWayAnovaImpl |
| // org.apache.commons.math.stat.Regression |
| { "out of bounds significance level {0}, must be between {1} and {2}", |
| "niveau de signification {0} hors domaine, doit \u00eatre entre {1} et {2}" }, |
| |
| // org.apache.commons.math.stat.regression.OLSMultipleLinearRegression |
| { "matrix is not upper-triangular, entry ({0}, {1}) = {2} is too large", |
| "matrice non triangulaire sup\u00e9rieure, l''\u00e9l\u00e9ment ({0}, {1}) = {2} est trop grand" }, |
| |
| // org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression |
| { "not enough data ({0} rows) for this many predictors ({1} predictors)", |
| "pas assez de donn\u00e9es ({0} lignes) pour {1} pr\u00e9dicteurs" }, |
| |
| // org.apache.commons.math.distribution.AbstractContinuousDistribution |
| // org.apache.commons.math.distribution.AbstractIntegerDistribution |
| // org.apache.commons.math.distribution.ExponentialDistributionImpl |
| // org.apache.commons.math.distribution.BinomialDistributionImpl |
| // org.apache.commons.math.distribution.CauchyDistributionImpl |
| // org.apache.commons.math.distribution.PascalDistributionImpl |
| // org.apache.commons.math.distribution.WeibullDistributionImpl |
| { "{0} out of [{1}, {2}] range", |
| "{0} hors du domaine [{1}, {2}]" }, |
| |
| // org.apache.commons.math.distribution.AbstractDistribution |
| // org.apache.commons.math.distribution.AbstractIntegerDistribution |
| { "lower endpoint ({0}) must be less than or equal to upper endpoint ({1})", |
| "la borne inf\u00e9rieure ({0}) devrait \u00eatre inf\u00e9rieure " + |
| "ou \u00e9gale \u00e0 la borne sup\u00e9rieure ({1})" }, |
| |
| // org.apache.commons.math.distribution.BinomialDistributionImpl |
| { "number of trials must be non-negative ({0})", |
| "le nombre d''essais ne doit pas \u00eatre n\u00e9gatif ({0})" }, |
| |
| // org.apache.commons.math.distribution.ExponentialDistributionImpl |
| // org.apache.commons.math.random.RandomDataImpl |
| { "mean must be positive ({0})", |
| "la moyenne doit \u00eatre positive ({0})" }, |
| |
| // org.apache.commons.math.distribution.FDistributionImpl |
| // org.apache.commons.math.distribution.TDistributionImpl |
| { "degrees of freedom must be positive ({0})", |
| "les degr\u00e9s de libert\u00e9 doivent \u00eatre positifs ({0})" }, |
| |
| // org.apache.commons.math.distribution.GammaDistributionImpl |
| { "alpha must be positive ({0})", |
| "alpha doit \u00eatre positif ({0})" }, |
| { "beta must be positive ({0})", |
| "beta doit \u00eatre positif ({0})" }, |
| |
| // org.apache.commons.math.distribution.HypergeometricDistributionImpl |
| { "number of successes ({0}) must be less than or equal to population size ({1})", |
| "le nombre de succ\u00e8s doit \u00eatre inf\u00e9rieur " + |
| "ou \u00e9gal \u00e0 la taille de la population ({1})" }, |
| { "sample size ({0}) must be less than or equal to population size ({1})", |
| "la taille de l''\u00e9chantillon doit \u00eatre inf\u00e9rieure " + |
| "ou \u00e9gale \u00e0 la taille de la population ({1})" }, |
| { "population size must be positive ({0})", |
| "la taille de la population doit \u00eatre positive ({0})" }, |
| |
| // org.apache.commons.math.distribution.HypergeometricDistributionImpl |
| // org.apache.commons.math.random.RandomDataImpl |
| { "sample size must be positive ({0})", |
| "la taille de l''\u00e9chantillon doit \u00eatre positive ({0})" }, |
| |
| // org.apache.commons.math.distribution.HypergeometricDistributionImpl |
| // org.apache.commons.math.distribution.PascalDistributionImpl |
| { "number of successes must be non-negative ({0})", |
| "le nombre de succ\u00e8s ne doit pas \u00eatre n\u00e9gatif ({0})" }, |
| |
| // org.apache.commons.math.distribution.NormalDistributionImpl |
| // org.apache.commons.math.random.RandomDataImpl |
| { "standard deviation must be positive ({0})", |
| "l''\u00e9cart type doit \u00eatre positif ({0})" }, |
| |
| // org.apache.commons.math.distribution.PoissonDistributionImpl |
| // org.apache.commons.math.random.RandomDataImpl |
| { "the Poisson mean must be positive ({0})", |
| "la moyenne de Poisson doit \u00eatre positive ({0})" }, |
| |
| // org.apache.commons.math.distribution.WeibullDistributionImpl |
| { "shape must be positive ({0})", |
| "le facteur de forme doit \u00eatre positif ({0})" }, |
| |
| // org.apache.commons.math.distribution.WeibullDistributionImpl |
| // org.apache.commons.math.distribution.CauchyDistributionImpl |
| { "scale must be positive ({0})", |
| "l''\u00e9chelle doit \u00eatre positive ({0})" }, |
| |
| // org.apache.commons.math.distribution.ZipfDistributionImpl |
| { "invalid number of elements {0} (must be positive)", |
| "nombre d''\u00e9l\u00e9ments {0} invalide (doit \u00eatre positif)" }, |
| { "invalid exponent {0} (must be positive)", |
| "exposant {0} invalide (doit \u00eatre positif)" }, |
| |
| // org.apache.commons.math.transform.FastHadamardTransformer |
| { "{0} is not a power of 2", |
| "{0} n''est pas une puissance de 2" }, |
| |
| // org.apache.commons.math.transform.FastFourierTransformer |
| { "cannot compute 0-th root of unity, indefinite result", |
| "impossible de calculer la racine z\u00e9roi\u00e8me de l''unit\u00e9, " + |
| "r\u00e9sultat ind\u00e9fini" }, |
| { "roots of unity have not been computed yet", |
| "les racines de l''unit\u00e9 n''ont pas encore \u00e9t\u00e9 calcul\u00e9es" }, |
| { "out of range root of unity index {0} (must be in [{1};{2}])", |
| "index de racine de l''unit\u00e9 hors domaine (devrait \u00eatre dans [{1}; {2}])" }, |
| { "number of sample is not positive: {0}", |
| "le nombre d''\u00e9chantillons n''est pas positif : {0}" }, |
| { "{0} is not a power of 2, consider padding for fix", |
| "{0} n''est pas une puissance de 2, ajoutez des \u00e9l\u00e9ments pour corriger" }, |
| { "some dimensions don't match: {0} != {1}", |
| "certaines dimensions sont incoh\u00e9rentes : {0} != {1}" }, |
| |
| // org.apache.commons.math.transform.FastCosineTransformer |
| { "{0} is not a power of 2 plus one", |
| "{0} n''est pas une puissance de 2 plus un" }, |
| |
| // org.apache.commons.math.transform.FastSineTransformer |
| { "first element is not 0: {0}", |
| "le premier \u00e9l\u00e9ment n''est pas nul : {0}" }, |
| |
| // org.apache.commons.math.util.OpenIntToDoubleHashMap |
| { "map has been modified while iterating", |
| "la table d''adressage a \u00e9t\u00e9 modifi\u00e9e pendant l''it\u00e9ration" }, |
| { "iterator exhausted", |
| "it\u00e9ration achev\u00e9e" }, |
| |
| // org.apache.commons.math.MathRuntimeException |
| { "internal error, please fill a bug report at {0}", |
| "erreur interne, veuillez signaler l''erreur \u00e0 {0}" } |
| |
| }; |
| |
| } |
