From: Jean-Philippe ARGAUD <jean-philippe.argaud@edf.fr>
Date: Thu, 29 Mar 2012 13:28:35 +0000 (+0200)
Subject: Correcting logging levels
X-Git-Tag: V6_5_0~20^2~2
X-Git-Url: http://git.salome-platform.org/gitweb/?a=commitdiff_plain;h=cee976c01b92436ef9531779b2c76f3c20f57549;p=modules%2Fadao.git

Correcting logging levels
---

diff --git a/src/daComposant/daAlgorithms/3DVAR.py b/src/daComposant/daAlgorithms/3DVAR.py
index 8be3e3a..cee5c22 100644
--- a/src/daComposant/daAlgorithms/3DVAR.py
+++ b/src/daComposant/daAlgorithms/3DVAR.py
@@ -89,7 +89,7 @@ class ElementaryAlgorithm(BasicObjects.Algorithm):
         # ------------------------------
         def CostFunction(x):
             _X  = numpy.asmatrix(x).flatten().T
-            logging.info("%s CostFunction X  = %s"%(self._name, numpy.asmatrix( _X ).flatten()))
+            logging.debug("%s CostFunction X  = %s"%(self._name, numpy.asmatrix( _X ).flatten()))
             _HX = Hm( _X )
             _HX = numpy.asmatrix(_HX).flatten().T
             Jb  = 0.5 * (_X - Xb).T * BI * (_X - Xb)
@@ -106,7 +106,7 @@ class ElementaryAlgorithm(BasicObjects.Algorithm):
         #
         def GradientOfCostFunction(x):
             _X      = numpy.asmatrix(x).flatten().T
-            logging.info("%s GradientOfCostFunction X      = %s"%(self._name, numpy.asmatrix( _X ).flatten()))
+            logging.debug("%s GradientOfCostFunction X      = %s"%(self._name, numpy.asmatrix( _X ).flatten()))
             _HX     = Hm( _X )
             _HX     = numpy.asmatrix(_HX).flatten().T
             GradJb  = BI * (_X - Xb)
diff --git a/src/daComposant/daAlgorithms/NonLinearLeastSquares.py b/src/daComposant/daAlgorithms/NonLinearLeastSquares.py
index a01ad3c..7dc703d 100644
--- a/src/daComposant/daAlgorithms/NonLinearLeastSquares.py
+++ b/src/daComposant/daAlgorithms/NonLinearLeastSquares.py
@@ -90,7 +90,7 @@ class ElementaryAlgorithm(BasicObjects.Algorithm):
         # ------------------------------
         def CostFunction(x):
             _X  = numpy.asmatrix(x).flatten().T
-            logging.info("%s CostFunction X  = %s"%(self._name, numpy.asmatrix( _X ).flatten()))
+            logging.debug("%s CostFunction X  = %s"%(self._name, numpy.asmatrix( _X ).flatten()))
             _HX = Hm( _X )
             _HX = numpy.asmatrix(_HX).flatten().T
             Jb  = 0.
@@ -107,7 +107,7 @@ class ElementaryAlgorithm(BasicObjects.Algorithm):
         #
         def GradientOfCostFunction(x):
             _X      = numpy.asmatrix(x).flatten().T
-            logging.info("%s GradientOfCostFunction X      = %s"%(self._name, numpy.asmatrix( _X ).flatten()))
+            logging.debug("%s GradientOfCostFunction X      = %s"%(self._name, numpy.asmatrix( _X ).flatten()))
             _HX     = Hm( _X )
             _HX     = numpy.asmatrix(_HX).flatten().T
             GradJb  = 0.
diff --git a/src/daComposant/daCore/version.py b/src/daComposant/daCore/version.py
index 13a7a61..619e91d 100644
--- a/src/daComposant/daCore/version.py
+++ b/src/daComposant/daCore/version.py
@@ -21,5 +21,5 @@
 #  Author: Jean-Philippe Argaud, jean-philippe.argaud@edf.fr, EDF R&D
 
 name    = "Data Assimilation Package"
-version = "0.4.0-SP640"
-date    = "mardi 11 octobre 2011, 11:11:11 (UTC+0200)"
+version = "0.5.0-SP650"
+date    = "jeudi 29 mars 2012, 11:11:11 (UTC+0200)"