From 1ea1cedb9b2829ab328f5f60f0b299512ef39299 Mon Sep 17 00:00:00 2001
From: barate <barate>
Date: Tue, 26 Apr 2011 12:46:24 +0000
Subject: [PATCH] Added utility Python module for parametric studies with
 PyScripts

---
 src/KERNEL_PY/kernel/parametric/Makefile.am   |  3 +-
 .../kernel/parametric/pyscript_utils.py       | 47 +++++++++++++++++++
 2 files changed, 49 insertions(+), 1 deletion(-)
 create mode 100644 src/KERNEL_PY/kernel/parametric/pyscript_utils.py

diff --git a/src/KERNEL_PY/kernel/parametric/Makefile.am b/src/KERNEL_PY/kernel/parametric/Makefile.am
index f8062fbc7..a94cef252 100644
--- a/src/KERNEL_PY/kernel/parametric/Makefile.am
+++ b/src/KERNEL_PY/kernel/parametric/Makefile.am
@@ -5,4 +5,5 @@ mypkgpythondir =$(salomepypkgdir)/kernel/parametric
 mypkgpython_PYTHON = \
 	__init__.py \
 	study_exchange_vars.py \
-	compo_utils.py
+	compo_utils.py \
+	pyscript_utils.py
diff --git a/src/KERNEL_PY/kernel/parametric/pyscript_utils.py b/src/KERNEL_PY/kernel/parametric/pyscript_utils.py
new file mode 100644
index 000000000..6a36c32bc
--- /dev/null
+++ b/src/KERNEL_PY/kernel/parametric/pyscript_utils.py
@@ -0,0 +1,47 @@
+#  Copyright (C) 2011  CEA/DEN, EDF R&D, OPEN CASCADE
+#
+#  This library is free software; you can redistribute it and/or
+#  modify it under the terms of the GNU Lesser General Public
+#  License as published by the Free Software Foundation; either
+#  version 2.1 of the License.
+#
+#  This library is distributed in the hope that it will be useful,
+#  but WITHOUT ANY WARRANTY; without even the implied warranty of
+#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
+#  Lesser General Public License for more details.
+#
+#  You should have received a copy of the GNU Lesser General Public
+#  License along with this library; if not, write to the Free Software
+#  Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307 USA
+#
+#  See http://www.salome-platform.org/ or
+#  email : webmaster.salome@opencascade.com
+#
+
+def create_input_dict(deterministic_dict, parametric_input):
+    # Simply get the first point from input (no time series, single observation)
+    input_point = parametric_input["inputValues"][0][0]
+
+    if len(input_point) != len(parametric_input["inputVarList"]):
+        raise Exception("Size mismatch between inputVarList and point to evaluate")
+
+    input_dict = deterministic_dict
+    for i in range(len(input_point)):
+        input_dict[parametric_input["inputVarList"][i]] = input_point[i][0]
+
+    return input_dict
+
+def create_normal_parametric_output(output_dict, parametric_input):
+    output_values = [[[]]]
+    for output_var in parametric_input["outputVarList"]:
+        output_values[0][0].append([output_dict[output_var]])
+    return {"outputValues" : output_values,
+            "specificOutputInfos" : [],
+            "returnCode" : 0,
+            "errorMessage" : ""}
+
+def create_error_parametric_output(error_message):
+    return {"outputValues" : [],
+            "specificOutputInfos" : [],
+            "returnCode" : 1,
+            "errorMessage" : error_message}
-- 
2.39.2