pm4py.objects.conversion.heuristics_net.variants package#

PM4Py – A Process Mining Library for Python

Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.

This program 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 Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License along with this program. If not, see this software project’s root or visit <https://www.gnu.org/licenses/>.

Website: https://processintelligence.solutions Contact: info@processintelligence.solutions

Submodules#

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

PM4Py – A Process Mining Library for Python

Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.

This program 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 Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License along with this program. If not, see this software project’s root or visit <https://www.gnu.org/licenses/>.

Website: https://processintelligence.solutions Contact: info@processintelligence.solutions

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