/* * 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: 620312 $ $Date: 2008-02-10 12:28:59 -0700 (Sun, 10 Feb 2008) $ * @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 */ public Object[][] getContents() { return (Object[][]) contents.clone(); } /** Non-translated/translated messages arrays. */ static final Object[][] contents = { // 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.DimensionMismatchException { "dimension mismatch {0} != {1}", "dimensions incompatibles {0} != {1}" }, // org.apache.commons.math.random.NotPositiveDefiniteMatrixException { "not positive definite matrix", "matrice non d\u00e9finie positive" }, // 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.analysis.UnivariateRealSolverUtils { "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.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.estimation.AbstractEstimator { "maximal number of evaluations exceeded ({0})", "nombre maximal d''\u00e9valuations d\u00e9pass\u00e9 ({0})" }, { "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.estimation.GaussNewtonEstimator { "unable to solve: singular problem", "r\u00e9solution impossible : probl\u00e8me singulier" }, // org.apache.commons.math.estimation.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" }, // 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.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.AdaptiveStepsizeIntegrator, // org.apache.commons.math.ode.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.optimization.DirectSearchOptimizer { "none of the {0} start points lead to convergence", "aucun des {0} points de d\u00e9part n''aboutit \u00e0 une convergence" } }; }