| // 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.spaceroots.mantissa; |
| |
| import java.util.ListResourceBundle; |
| |
| /** This class gather the message resources for the mantissa library. |
| * @version $Id$ |
| * @author L. Maisonobe |
| */ |
| public class MessagesResources_fr |
| extends ListResourceBundle { |
| |
| /** Simple constructor. |
| */ |
| public MessagesResources_fr() { |
| } |
| |
| public Object[][] getContents() { |
| return (Object[][]) contents.clone(); |
| } |
| |
| static final Object[][] contents = { |
| |
| // org.spaceroots.mantissa.estimation.GaussNewtonEstimator |
| { "unable to converge in {0} iterations", |
| "pas de convergence apr\u00e8s {0} it\u00e9rations" }, |
| |
| // org.spaceroots.mantissa.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" }, |
| { "maximal number of evaluations exceeded ({0})", |
| "nombre maximal d''\u00e9valuations d\u00e9pass\u00e9 ({0})" }, |
| |
| // org.spaceroots.mantissa.fitting.HarmonicCoefficientsGuesser |
| { "unable to guess a first estimate", |
| "impossible de trouver une premi\u00e8re estim\u00e9e" }, |
| |
| // org.spaceroots.mantissa.fitting.HarmonicFitter |
| { "sample must contain at least {0} points", |
| "l''\u00e9chantillon doit contenir au moins {0} points" }, |
| |
| // org.spaceroots.mantissa.functions.ExhaustedSampleException |
| { "sample contains only {0} elements", |
| "l''\u00e9chantillon ne contient que {0} points" }, |
| |
| // org.spaceroots.mantissa.geometry.CardanEulerSingularityException |
| { "Cardan angles singularity", |
| "singularit\u00e9 d''angles de Cardan" }, |
| { "Euler angles singularity", |
| "singularit\u00e9 d''angles d''Euler" }, |
| |
| // org.spaceroots.mantissa.geometry.Rotation |
| { "a {0}x{1} matrix cannot be a rotation matrix", |
| "une matrice {0}x{1} ne peut pas \u00e9tre 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.spaceroots.mantissa.linalg;.SingularMatrixException |
| { "singular matrix", |
| "matrice singuli\u00e8re" }, |
| |
| // org.spaceroots.mantissa.ode.AdaptiveStepsizeIntegrator |
| { "minimal step size ({0}) reached, integration needs {1}", |
| "pas minimal ({0}) atteint, l''int\u00e9gration n\u00e9cessite {1}" }, |
| |
| // org.spaceroots.mantissa.ode.GraggBulirschStoerIntegrator, |
| // org.spaceroots.mantissa.ode.RungeKuttaFehlbergIntegrator, |
| // org.spaceroots.mantissa.ode.RungeKuttaIntegrator |
| { "dimensions mismatch: ODE problem has dimension {0}," |
| + " state vector has dimension {1}", |
| "incompatibilit\u00e9 de dimensions entre le probl\u00e8me ODE ({0})," |
| + " et le vecteur d''\u00e9tat ({1})" }, |
| { "too small integration interval: length = {0}", |
| "intervalle d''int\u00e9gration trop petit : {0}" }, |
| |
| // org.spaceroots.mantissa.optimization.DirectSearchOptimizer |
| { "none of the {0} start points lead to convergence", |
| "aucun des {0} points de d\u00e9part n''aboutit \u00e0 une convergence" }, |
| |
| // org.spaceroots.mantissa.random.CorrelatedRandomVectorGenerator |
| { "dimension mismatch {0} != {1}", |
| "dimensions incompatibles {0} != {1}" }, |
| |
| // org.spaceroots.mantissa.random.NotPositiveDefiniteMatrixException |
| { "not positive definite matrix", |
| "matrice non d\u00e9finie positive" } |
| |
| }; |
| |
| } |