Minor improvements and fixes for internal variables

[modules/adao.git] / src / daComposant / daCore / Templates.py

diff --git a/src/daComposant/daCore/Templates.py b/src/daComposant/daCore/Templates.py
index aa9fcc3249f2727f7d6f38583e13192da029f455..cb3f0a273e1d06c65b2baa1d0345639c1eaad5ae 100644 (file)
--- a/src/daComposant/daCore/Templates.py
+++ b/src/daComposant/daCore/Templates.py
@@ -1,6 +1,6 @@
 # -*- coding: utf-8 -*-
 #
-# Copyright (C) 2008-2019 EDF R&D
+# Copyright (C) 2008-2021 EDF R&D
 #
 # This library is free software; you can redistribute it and/or
 # modify it under the terms of the GNU Lesser General Public
@@ -225,6 +225,31 @@ ObserverTemplates.store(
     order   = "next",
     )
 
+# ==============================================================================
+UserPostAnalysisTemplates = TemplateStorage()
+
+UserPostAnalysisTemplates.store(
+    name    = "AnalysisPrinter",
+    content = """import numpy\nxa=numpy.ravel(ADD.get('Analysis')[-1])\nprint('Analysis:',xa)""",
+    fr_FR   = "Imprime sur la sortie standard la valeur optimale",
+    en_EN   = "Print on standard output the optimal value",
+    order   = "next",
+    )
+UserPostAnalysisTemplates.store(
+    name    = "AnalysisSaver",
+    content = """import numpy\nxa=numpy.ravel(ADD.get('Analysis')[-1])\nf='/tmp/analysis.txt'\nprint('Analysis saved in \"%s\"'%f)\nnumpy.savetxt(f,xa)""",
+    fr_FR   = "Enregistre la valeur optimale dans un fichier du répertoire '/tmp' nommé 'analysis.txt'",
+    en_EN   = "Save the optimal value in a file of the '/tmp' directory named 'analysis.txt'",
+    order   = "next",
+    )
+UserPostAnalysisTemplates.store(
+    name    = "AnalysisPrinterAndSaver",
+    content = """import numpy\nxa=numpy.ravel(ADD.get('Analysis')[-1])\nprint 'Analysis:',xa\nf='/tmp/analysis.txt'\nprint('Analysis saved in \"%s\"'%f)\nnumpy.savetxt(f,xa)""",
+    fr_FR   = "Imprime sur la sortie standard et, en même temps enregistre dans un fichier du répertoire '/tmp', la valeur optimale",
+    en_EN   = "Print on standard output and, in the same time save in a file of the '/tmp' directory, the optimal value",
+    order   = "next",
+    )
+
 # ==============================================================================
 if __name__ == "__main__":
     print('\n AUTODIAGNOSTIC\n')