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//   Copyright Bruno Pinçon, ESIAL-IECN, Inria CORIDA project
//   <bruno.pincon@iecn.u-nancy.fr>
//
// This set of scilab 's macros provide a few sparse utilities.
//
// This software is governed by the CeCILL license under French law and
// abiding by the rules of distribution of free software.  You can  use,
// modify and/ or redistribute the software under the terms of the CeCILL
// license as circulated by CEA, CNRS and INRIA at the following URL
// "http://www.cecill.info".
//
// As a counterpart to the access to the source code and  rights to copy,
// modify and redistribute granted by the license, users are provided only
// with a limited warranty  and the software's author,  the holder of the
// economic rights,  and the successive licensors  have only  limited
// liability.
//
// In this respect, the user's attention is drawn to the risks associated
// with loading,  using,  modifying and/or developing or reproducing the
// software by the user in light of its specific status of free software,
// that may mean  that it is complicated to manipulate,  and  that  also
// therefore means  that it is reserved for developers  and  experienced
// professionals having in-depth computer knowledge. Users are therefore
// encouraged to load and test the software's suitability as regards their
// requirements in conditions enabling the security of their systems and/or
// data to be ensured and,  more generally, to use and operate it in the
// same conditions as regards security.
//
// The fact that you are presently reading this means that you have had
// knowledge of the CeCILL license and that you accept its terms.

function [X] = test_on_columns(X,Xold)
    //
    //  X and Xold are (n,t) matrix , Xold being an optional argument
    //  verify and force all columns of the new X to be non paralleles
    //  and also to be non paralleles to the columns of Xold if Xold
    //  is given
    //  2 columns j1 and j2 are // if  | Cj1'*Cj2 | = n because
    //  all elements are in {+1,-1}
    //
    [lhs,rhs] = argn()
    [n,t] = size(X)
    if rhs == 1 then
        for j=2:t
            while %t
                res_test = abs(X(:,j)'*X(:,1:j-1))
                if or(res_test == n) then
                    X(:,j) = fsign(rand(n,1)-0.5)
                else
                    break
                end
            end
        end
    else   // rhs = 2
        for j=1:t
            while %t
                res_test = abs([X(:,j)'*Xold  X(:,j)'*X(:,1:j-1)])
                if or(res_test == n) then
                    X(:,j) = fsign(rand(n,1)-0.5)
                else
                    break
                end
            end
        end
    end
endfunction