# pm4py.algo.simulation.playout.petri_net package

## pm4py.algo.simulation.playout.petri_net.algorithm 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/>.

class pm4py.algo.simulation.playout.petri_net.algorithm.Variants(value)[source]

Bases: enum.Enum

An enumeration.

BASIC_PLAYOUT = <module 'pm4py.algo.simulation.playout.petri_net.variants.basic_playout' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\simulation\\playout\\petri_net\\variants\\basic_playout.py'>
EXTENSIVE = <module 'pm4py.algo.simulation.playout.petri_net.variants.extensive' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\simulation\\playout\\petri_net\\variants\\extensive.py'>
STOCHASTIC_PLAYOUT = <module 'pm4py.algo.simulation.playout.petri_net.variants.stochastic_playout' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\simulation\\playout\\petri_net\\variants\\stochastic_playout.py'>
pm4py.algo.simulation.playout.petri_net.algorithm.apply(net: pm4py.objects.petri_net.obj.PetriNet, initial_marking: pm4py.objects.petri_net.obj.Marking, final_marking: Optional[pm4py.objects.petri_net.obj.Marking] = None, parameters: Optional[Dict[Any, Any]] = None, variant=Variants.BASIC_PLAYOUT) [source]

Do the playout of a Petrinet generating a log

Parameters
• net – Petri net to play-out

• initial_marking – Initial marking of the Petri net

• final_marking – (if provided) Final marking of the Petri net

• parameters – Parameters of the algorithm

• variant

Variant of the algorithm to use:
• Variants.BASIC_PLAYOUT: selects random traces from the model, without looking at the

frequency of the transitions - Variants.STOCHASTIC_PLAYOUT: selects random traces from the model, looking at the stochastic frequency of the transitions. Requires the provision of the stochastic map or the log. - Variants.EXTENSIVE: gets all the traces from the model. can be expensive

## Module contents

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/>.