#Construct some simple DynmaicBayesianNetwork
B0 = BayesNet()
dbn = DynamicBayesNet()
twoTBN = TwoTBN()
weather0_init = DiscreteNode("Weather0", ["Sun", "Rain"])
weather0 = DiscreteNode("Weather0", ["Sun", "Rain"])
weather = DiscreteNode("Weather", ["Sun", "Rain"])
ice_cream_eaten = DiscreteNode("Ice Cream Eaten", [True, False])
B0.add_node(weather0_init)
twoTBN.add_node(weather0, True)
twoTBN.add_node(weather)
twoTBN.add_node(ice_cream_eaten)
twoTBN.add_edge(weather, ice_cream_eaten)
twoTBN.add_edge(weather0, weather);
cpt_weather0_init = numpy.array([.6, .4])
weather0_init.set_probability_table(cpt_weather0_init, [weather0_init])
cpt_weather0 = numpy.array([.6, .4])
weather0.set_probability_table(cpt_weather0, [weather0])
cpt_weather = numpy.array([[.7, .5],
[.3, .5]])
weather.set_probability_table(cpt_weather, [weather, weather0])
cpt_ice_cream_eaten = numpy.array([[.9, .2],
[.1, .8]])
ice_cream_eaten.set_probability_table(cpt_ice_cream_eaten, [ice_cream_eaten, weather])
