Source code for tests.evaluation_tests

import os
import unittest

from pm4py.algo.discovery.inductive import algorithm as inductive_miner
from pm4py.algo.evaluation import algorithm as evaluation_alg
from pm4py.algo.evaluation.generalization import algorithm as generalization_alg
from pm4py.algo.evaluation.precision import algorithm as precision_alg
from pm4py.algo.evaluation.replay_fitness import algorithm as fitness_alg
from pm4py.algo.evaluation.simplicity import algorithm as simplicity_alg
from pm4py.objects.log.importer.xes import importer as xes_importer
from tests.constants import INPUT_DATA_DIR


[docs]class ProcessModelEvaluationTests(unittest.TestCase):
[docs] def test_evaluation_pm1(self): # to avoid static method warnings in tests, # that by construction of the unittest package have to be expressed in such way self.dummy_variable = "dummy_value" log = xes_importer.apply(os.path.join(INPUT_DATA_DIR, "running-example.xes")) net, marking, final_marking = inductive_miner.apply(log) fitness = fitness_alg.apply(log, net, marking, final_marking) precision = precision_alg.apply(log, net, marking, final_marking) generalization = generalization_alg.apply(log, net, marking, final_marking) simplicity = simplicity_alg.apply(net) del fitness del precision del generalization del simplicity
[docs] def test_evaluation_pm2(self): # to avoid static method warnings in tests, # that by construction of the unittest package have to be expressed in such way self.dummy_variable = "dummy_value" log = xes_importer.apply(os.path.join(INPUT_DATA_DIR, "running-example.xes")) net, marking, final_marking = inductive_miner.apply(log) metrics = evaluation_alg.apply(log, net, marking, final_marking) del metrics
if __name__ == "__main__": unittest.main()