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#!/usr/bin/env python
# @file createStatisticsExample.py
# @brief SBML distrib example
# @author Sarah Keating
#
#
# <!--------------------------------------------------------------------------
# This file is part of libSBML. Please visit http:#sbml.org for more
# information about SBML, and the latest version of libSBML.
#
# Copyright (C) 2009-2013 jointly by the following organizations:
# 1. California Institute of Technology, Pasadena, CA, USA
# 2. EMBL European Bioinformatics Institute (EBML-EBI), Hinxton, UK
#
# Copyright (C) 2006-2008 by the California Institute of Technology,
# Pasadena, CA, USA
#
# Copyright (C) 2002-2005 jointly by the following organizations:
# 1. California Institute of Technology, Pasadena, CA, USA
# 2. Japan Science and Technology Agency, Japan
#
# 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. A copy of the license agreement is provided
# in the file named "LICENSE.txt" included with this software distribution
# and also available online as http:#sbml.org/software/libsbml/license.html
# ------------------------------------------------------------------------ -->
from libsbml import *
sbmlns = SBMLNamespaces(3, 1, "distrib", 1);
document = SBMLDocument(sbmlns);
# set the required attribute to true
docPlug = document.getPlugin("distrib");
docPlug.setRequired(True);
# create the Model
model = document.createModel();
# create the Parameter
p = model.createParameter();
p.setId("V");
p.setConstant(true);
#
# Get a DistribSBasePlugin object plugged in the parameter object.
#
pPlugin = p.getPlugin("distrib");
# create a Uncertainty object
uncert = pPlugin.createUncertainty();
# create the UncertMLNode object
uncertML = libsbml.createDistributionNode("Statistics", "Mean, Variance", "V_pop, V_omega");
uncert.setUncertML(uncertML);
writeSBMLToFile(document, "distrib_example1.xml");
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