Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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38 lines
1.2 KiB
38 lines
1.2 KiB
import sys
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sys.path.append("../classes/")
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import unittest
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import glob
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import os
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import json_importer as ji
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import sample_path as sp
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import trajectory as tr
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import structure as st
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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 = ji.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 = sp.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 = sp.SamplePath(self.importer)
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s1.build_trajectories()
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self.assertIsInstance(s1.trajectories, tr.Trajectory)
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def test_build_structure(self):
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s1 = sp.SamplePath(self.importer)
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s1.build_structure()
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self.assertIsInstance(s1.structure, st.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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