Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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39 lines
1.2 KiB
39 lines
1.2 KiB
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import unittest
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import glob
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import os
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from ..PyCTBN.json_importer import JsonImporter
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from ..PyCTBN.sample_path import SamplePath
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from ..PyCTBN.trajectory import Trajectory
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from ..PyCTBN.structure import Structure
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class TestSamplePath(unittest.TestCase):
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@classmethod
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def setUpClass(cls) -> None:
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cls.read_files = glob.glob(os.path.join('./data', "*.json"))
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cls.importer = JsonImporter(cls.read_files[0], 'samples', 'dyn.str', 'variables', 'Time', 'Name', 0)
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def test_init(self):
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s1 = SamplePath(self.importer)
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self.assertIsNone(s1.trajectories)
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self.assertIsNone(s1.structure)
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self.assertFalse(s1._importer.concatenated_samples.empty)
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self.assertIsNone(s1._total_variables_count)
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def test_build_trajectories(self):
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s1 = SamplePath(self.importer)
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s1.build_trajectories()
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self.assertIsInstance(s1.trajectories, Trajectory)
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def test_build_structure(self):
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s1 = SamplePath(self.importer)
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s1.build_structure()
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self.assertIsInstance(s1.structure, Structure)
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self.assertEqual(s1._total_variables_count, len(s1._importer.sorter))
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if __name__ == '__main__':
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unittest.main()
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