#!/usr/bin/env python
# @file    createStatisticsExample.py
# @brief   SBML distrib example
# @author  Sarah Keating
#
#
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# Copyright (C) 2009-2013 jointly by the following organizations:
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# Copyright (C) 2002-2005 jointly by the following organizations:
#     1. California Institute of Technology, Pasadena, CA, USA
#     2. Japan Science and Technology Agency, Japan
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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");