gtsam/python/gtsam/tests/test_HybridNonlinearFactorG...

56 lines
1.8 KiB
Python

"""
GTSAM Copyright 2010-2019, Georgia Tech Research Corporation,
Atlanta, Georgia 30332-0415
All Rights Reserved
See LICENSE for the license information
Unit tests for Hybrid Nonlinear Factor Graphs.
Author: Fan Jiang
"""
# pylint: disable=invalid-name, no-name-in-module, no-member
from __future__ import print_function
import unittest
import gtsam
import numpy as np
from gtsam.symbol_shorthand import C, X
from gtsam.utils.test_case import GtsamTestCase
class TestHybridGaussianFactorGraph(GtsamTestCase):
"""Unit tests for HybridGaussianFactorGraph."""
def test_nonlinear_hybrid(self):
nlfg = gtsam.HybridNonlinearFactorGraph()
dk = gtsam.DiscreteKeys()
dk.push_back((10, 2))
nlfg.add(gtsam.BetweenFactorPoint3(1, 2, gtsam.Point3(1, 2, 3), gtsam.noiseModel.Diagonal.Variances([1, 1, 1])))
nlfg.add(
gtsam.PriorFactorPoint3(2, gtsam.Point3(1, 2, 3), gtsam.noiseModel.Diagonal.Variances([0.5, 0.5, 0.5])))
nlfg.push_back(
gtsam.MixtureFactor([1], dk, [
gtsam.PriorFactorPoint3(1, gtsam.Point3(0, 0, 0),
gtsam.noiseModel.Unit.Create(3)),
gtsam.PriorFactorPoint3(1, gtsam.Point3(1, 2, 1),
gtsam.noiseModel.Unit.Create(3))
]))
nlfg.add(gtsam.DecisionTreeFactor((10, 2), "1 3"))
values = gtsam.Values()
values.insert_point3(1, gtsam.Point3(0, 0, 0))
values.insert_point3(2, gtsam.Point3(2, 3, 1))
hfg = nlfg.linearize(values)
o = gtsam.Ordering()
o.push_back(1)
o.push_back(2)
o.push_back(10)
hbn = hfg.eliminateSequential(o)
hbv = hbn.optimize()
self.assertEqual(hbv.atDiscrete(10), 0)
if __name__ == "__main__":
unittest.main()