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| import unittest | |
| import pm4py | |
| class LlmTest(unittest.TestCase): | |
| def test_abstract_case(self): | |
| log = pm4py.read_xes("input_data/running-example.xes", return_legacy_log_object=True) | |
| abstr = pm4py.llm.abstract_case(log[0]) | |
| self.assertGreater(len(abstr), 0) | |
| def test_abstract_dfg(self): | |
| for ret_legacy in [True, False]: | |
| log = pm4py.read_xes("input_data/running-example.xes", return_legacy_log_object=ret_legacy) | |
| abstr = pm4py.llm.abstract_dfg(log) | |
| self.assertGreater(len(abstr), 0) | |
| def test_abstract_variants(self): | |
| for ret_legacy in [True, False]: | |
| log = pm4py.read_xes("input_data/running-example.xes", return_legacy_log_object=ret_legacy) | |
| abstr = pm4py.llm.abstract_variants(log) | |
| self.assertGreater(len(abstr), 0) | |
| def test_abstract_event_stream(self): | |
| for ret_legacy in [True, False]: | |
| log = pm4py.read_xes("input_data/running-example.xes", return_legacy_log_object=ret_legacy) | |
| abstr = pm4py.llm.abstract_event_stream(log) | |
| self.assertGreater(len(abstr), 0) | |
| def test_abstract_log_attributes(self): | |
| for ret_legacy in [True, False]: | |
| log = pm4py.read_xes("input_data/running-example.xes", return_legacy_log_object=ret_legacy) | |
| abstr = pm4py.llm.abstract_log_attributes(log) | |
| self.assertGreater(len(abstr), 0) | |
| def test_abstract_log_features(self): | |
| for ret_legacy in [True, False]: | |
| log = pm4py.read_xes("input_data/running-example.xes", return_legacy_log_object=ret_legacy) | |
| abstr = pm4py.llm.abstract_log_features(log) | |
| self.assertGreater(len(abstr), 0) | |
| def test_abstract_temporal_profile(self): | |
| for ret_legacy in [True, False]: | |
| log = pm4py.read_xes("input_data/receipt.xes", return_legacy_log_object=ret_legacy) | |
| temporal_profile = pm4py.discover_temporal_profile(log) | |
| abstr = pm4py.llm.abstract_temporal_profile(temporal_profile) | |
| self.assertGreater(len(abstr), 0) | |
| def test_abstract_declare(self): | |
| for ret_legacy in [True, False]: | |
| log = pm4py.read_xes("input_data/running-example.xes", return_legacy_log_object=ret_legacy) | |
| declare_model = pm4py.discover_declare(log) | |
| abstr = pm4py.llm.abstract_declare(declare_model) | |
| self.assertGreater(len(abstr), 0) | |
| def test_abstract_log_skeleton(self): | |
| for ret_legacy in [True, False]: | |
| log = pm4py.read_xes("input_data/receipt.xes", return_legacy_log_object=ret_legacy) | |
| log_skeleton = pm4py.discover_log_skeleton(log) | |
| abstr = pm4py.llm.abstract_log_skeleton(log_skeleton) | |
| self.assertGreater(len(abstr), 0) | |
| def test_abstract_ocel(self): | |
| ocel = pm4py.read_ocel("input_data/ocel/example_log.jsonocel") | |
| abstr = pm4py.llm.abstract_ocel(ocel) | |
| self.assertGreater(len(abstr), 0) | |
| def test_abstract_ocel_ocdfg(self): | |
| ocel = pm4py.read_ocel("input_data/ocel/example_log.jsonocel") | |
| abstr = pm4py.llm.abstract_ocel_ocdfg(ocel) | |
| self.assertGreater(len(abstr), 0) | |
| def test_abstract_ocel_features(self): | |
| ocel = pm4py.read_ocel("input_data/ocel/example_log.jsonocel") | |
| abstr = pm4py.llm.abstract_ocel_features(ocel, "order") | |
| self.assertGreater(len(abstr), 0) | |
| def test_abstract_petri_net(self): | |
| net, im, fm = pm4py.read_pnml("input_data/running-example.pnml") | |
| abstr = pm4py.llm.abstract_petri_net(net, im, fm) | |
| self.assertGreater(len(abstr), 0) | |
| if __name__ == "__main__": | |
| unittest.main() | |