def test_import_export(self):
# write BN
xmlbif = XMLBIF(self.bn, "Test Net")
xmlbif.write("test_out.xmlbif")
# read BN
bn2 = XMLBIF.read("test_out.xmlbif")
for node1 in self.bn.get_nodes():
name_found = False
cpd_equal = False
value_range_equal = False
str_equal = False
pos_equal = False
for node2 in bn2.get_nodes():
print(node2.name)
print(node2.get_cpd())
# Test node names
print(node2.name)
if node1.name == node2.name:
name_found = True
cpd_equal = node1.get_cpd() == node2.get_cpd()
value_range_equal = node1.get_value_range() == node2.get_value_range()
str_equal = str(node1) == str(node2)
pos_equal = node1.pos == node2.pos
self.assertTrue(name_found)
self.assertTrue(cpd_equal)
self.assertTrue(value_range_equal)
self.assertTrue(str_equal)
self.assertTrue(pos_equal)
# remove file
os.remove("test_out.xmlbif")
def test_import_export(self):
# write BN
xmlbif = XMLBIF(self.bn, "Test Net")
xmlbif.write("test_out.xmlbif")
# read BN
bn2 = XMLBIF.read("test_out.xmlbif")
for node1 in self.bn.get_nodes():
name_found = False
cpd_equal = False
value_range_equal = False
str_equal = False
pos_equal = False
for node2 in bn2.get_nodes():
print(node2.name)
print(node2.get_cpd())
# Test node names
print(node2.name)
if node1.name == node2.name:
name_found = True
cpd_equal = node1.get_cpd() == node2.get_cpd()
value_range_equal = node1.get_value_range(
) == node2.get_value_range()
str_equal = str(node1) == str(node2)
pos_equal = node1.pos == node2.pos
self.assertTrue(name_found)
self.assertTrue(cpd_equal)
self.assertTrue(value_range_equal)
self.assertTrue(str_equal)
self.assertTrue(pos_equal)
# remove file
os.remove("test_out.xmlbif")
# -*- coding: utf-8 -*-
import random
import numpy
from primo.networks import BayesianNetwork
from primo.networks import DynamicBayesianNetwork
from primo.networks import TwoTBN
from primo.nodes import DiscreteNode
import primo.inference.particlefilter as pf
from primo.io import XMLBIF
# Construct a DynmaicBayesianNetwork
dbn = DynamicBayesianNetwork()
B0 = BayesianNetwork()
twoTBN = TwoTBN(XMLBIF.read("Robot_Localization.xmlbif"))
# Configure TwoTBN
x0 = twoTBN.get_node("x0")
x = twoTBN.get_node("x")
door = twoTBN.get_node("door")
twoTBN.set_initial_node(x0.name, x.name)
# Configure initial distribution
x0_init = DiscreteNode(
x0.name, ["p0", "p1", "p2", "p3", "p4", "p5", "p6", "p7", "p8", "p9"])
B0.add_node(x0_init)
cpt_x0_init = numpy.array([.1, .1, .1, .1, .1, .1, .1, .1, .1, .1])
x0_init.set_probability_table(cpt_x0_init, [x0_init])
dbn.B0 = B0