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import pm4py
import os
from pm4py.util import constants, pandas_utils
import importlib.util
import unittest
class SimplifiedInterface2Test(unittest.TestCase):
def test_import_ocel_sqlite_1(self):
ocel = pm4py.read_ocel("input_data/ocel/newocel.sqlite")
def test_import_ocel_sqlite_2(self):
ocel = pm4py.read_ocel_sqlite("input_data/ocel/newocel.sqlite")
def test_export_ocel_sqlite(self):
ocel = pm4py.read_ocel("input_data/ocel/newocel.jsonocel")
pm4py.write_ocel(ocel, "test_output_data/newocel2.sqlite")
os.remove("test_output_data/newocel2.sqlite")
def test_reduce_invisibles(self):
net, im, fm = pm4py.read_pnml("input_data/running-example.pnml")
pm4py.reduce_petri_net_invisibles(net)
def test_reduce_implicit_places(self):
net, im, fm = pm4py.read_pnml("input_data/running-example.pnml")
pm4py.reduce_petri_net_implicit_places(net, im, fm)
def test_language_df(self):
for legacy_obj in [True, False]:
log = pm4py.read_xes("input_data/running-example.xes", return_legacy_log_object=legacy_obj)
pm4py.get_stochastic_language(log)
def test_language_log(self):
log = pm4py.read_xes("input_data/running-example.xes", return_legacy_log_object=True)
pm4py.get_stochastic_language(log)
def test_language_model(self):
net, im, fm = pm4py.read_pnml("input_data/running-example.pnml")
pm4py.get_stochastic_language(net, im, fm)
def test_conversion_df_to_nx(self):
for legacy_obj in [True, False]:
log = pm4py.read_xes("input_data/running-example.xes", return_legacy_log_object=legacy_obj)
pm4py.convert_log_to_networkx(log)
def test_conversion_log_to_nx(self):
log = pm4py.read_xes("input_data/running-example.xes", return_legacy_log_object=True)
pm4py.convert_log_to_networkx(log)
def test_conversion_ocel_to_nx(self):
ocel = pm4py.read_ocel("input_data/ocel/example_log.jsonocel")
pm4py.convert_ocel_to_networkx(ocel)
def test_conversion_df_to_ocel(self):
for legacy_obj in [True, False]:
log = pm4py.read_xes("input_data/running-example.xes", return_legacy_log_object=legacy_obj)
pm4py.convert_log_to_ocel(log)
def test_conversion_log_to_ocel(self):
log = pm4py.read_xes("input_data/running-example.xes", return_legacy_log_object=True)
pm4py.convert_log_to_ocel(log)
def test_conversion_ocelcsv_to_ocel(self):
dataframe = pandas_utils.read_csv("input_data/ocel/example_log.csv")
pm4py.convert_log_to_ocel(dataframe, activity_column="ocel:activity", timestamp_column="ocel:timestamp")
def test_conversion_petri_to_nx(self):
net, im, fm = pm4py.read_pnml("input_data/running-example.pnml")
nx_digraph = pm4py.convert_petri_net_to_networkx(net, im, fm)
def test_stochastic_language(self):
if importlib.util.find_spec("pyemd"):
log1 = pm4py.read_xes("input_data/running-example.xes")
log2 = pm4py.read_xes("input_data/running-example.xes", return_legacy_log_object=True)
lang1 = pm4py.get_stochastic_language(log1)
lang2 = pm4py.get_stochastic_language(log2)
pm4py.compute_emd(lang1, lang2)
def test_hybrid_ilp_miner(self):
for legacy_obj in [True, False]:
log = pm4py.read_xes("input_data/running-example.xes", return_legacy_log_object=legacy_obj)
pm4py.discover_petri_net_ilp(log)
if __name__ == "__main__":
unittest.main()
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