pm4py.objects.conversion.heuristics_net.variants package#

This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

PM4Py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

PM4Py is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with PM4Py. If not, see <https://www.gnu.org/licenses/>.

Submodules#

pm4py.objects.conversion.heuristics_net.variants.to_petri_net module#

This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

PM4Py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

PM4Py is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with PM4Py. If not, see <https://www.gnu.org/licenses/>.

pm4py.objects.conversion.heuristics_net.variants.to_petri_net.remove_rendundant_invisible_transitions(net)[source]#

Remove redundant transitions from Petri net

Parameters#

net

Petri net

Returns#

net

Cleaned net

pm4py.objects.conversion.heuristics_net.variants.to_petri_net.find_bindings(and_measures)[source]#

Find the bindings given the AND measures

Parameters#

and_measures

AND measures

Returns#

bindings

Bindings

pm4py.objects.conversion.heuristics_net.variants.to_petri_net.apply(heu_net, parameters=None)[source]#

Converts an Heuristics Net to a Petri net

Parameters#

heu_net

Heuristics net

parameters

Possible parameters of the algorithm

Returns#

net

Petri net

im

Initial marking

fm

Final marking