From 17cb303934b876ea8b71f5f74d4a3be669c90a5e Mon Sep 17 00:00:00 2001 From: Jean-Philippe ARGAUD Date: Thu, 24 Nov 2011 14:37:08 +0100 Subject: [PATCH] Correst warning when using default Minimizer --- src/daComposant/daAlgorithms/3DVAR.py | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/src/daComposant/daAlgorithms/3DVAR.py b/src/daComposant/daAlgorithms/3DVAR.py index a884154..bc17491 100644 --- a/src/daComposant/daAlgorithms/3DVAR.py +++ b/src/daComposant/daAlgorithms/3DVAR.py @@ -64,10 +64,6 @@ class ElementaryAlgorithm(BasicObjects.Algorithm): HXb = Hm( Xb ) HXb = numpy.asmatrix(HXb).flatten().T # - # Calcul du préconditionnement - # ---------------------------- - # Bdemi = numpy.linalg.cholesky(B) - # # Calcul de l'innovation # ---------------------- d = Y - HXb @@ -129,8 +125,8 @@ class ElementaryAlgorithm(BasicObjects.Algorithm): if Parameters.has_key("Minimizer") and (Parameters["Minimizer"] in MinimizerList): Minimizer = str( Parameters["Minimizer"] ) else: - logging.warning("%s Minimiseur inconnu ou non fourni, remplacé par la valeur par défaut"%self._name) Minimizer = "LBFGSB" + logging.warning("%s Unknown or undefined minimizer, replaced by the default one \"%s\""%(self._name,Minimizer)) logging.debug("%s Minimiseur utilisé = %s"%(self._name, Minimizer)) if Parameters.has_key("MaximumNumberOfSteps") and (Parameters["MaximumNumberOfSteps"] > -1): maxiter = int( Parameters["MaximumNumberOfSteps"] ) -- 2.30.2