Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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33 lines
1.4 KiB
33 lines
1.4 KiB
import unittest
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import random
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from PyCTBN.PyCTBN.structure_graph.trajectory_generator import TrajectoryGenerator
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from PyCTBN.PyCTBN.utility.json_importer import JsonImporter
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class TestTrajectoryGenerator(unittest.TestCase):
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@classmethod
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def setUpClass(cls) -> None:
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cls.j1 = JsonImporter("./PyCTBN/test_data/networks_and_trajectories_binary_data_01_3.json", "samples", "dyn.str", "variables", "Time", "Name")
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def test_init(self):
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tg = TrajectoryGenerator(self.j1)
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self.assertEqual(len(tg._vnames), len(self.j1.variables))
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self.assertIsInstance(tg._vnames, list)
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self.assertIsInstance(tg._parents, dict)
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self.assertIsInstance(tg._cims, dict)
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self.assertListEqual(list(tg._parents.keys()), tg._vnames)
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self.assertListEqual(list(tg._cims.keys()), tg._vnames)
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def test_generated_trajectory(self):
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tg = TrajectoryGenerator(self.j1)
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end_time = random.randint(5, 100)
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sigma = tg.CTBN_Sample(end_time)
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self.assertLessEqual(sigma.times.loc[len(sigma) - 1].at["Time"], end_time)
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for index, row in sigma.iterrows():
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if index > 0:
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self.assertLess(sigma.times.loc[index - 1].at["Time"], row.at["Time"])
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diff = abs(sum(sigma.loc[index - 1, sigma.columns != "Time"]) -
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sum(sigma.loc[index, sigma.columns != "Time"]))
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self.assertEqual(diff, 1)
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unittest.main() |