Added utility Python module for parametric studies with PyScripts

diff --git a/src/KERNEL_PY/kernel/parametric/Makefile.am b/src/KERNEL_PY/kernel/parametric/Makefile.am
index f8062fbc749cffb79de1fe5295984691ffbdf163..a94cef2523e50cddcfac0d802843321304b2a8db 100644 (file)
--- 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 (file)
index 0000000..6a36c32
--- /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}