pm4py.algo.simulation.playout.petri_net package
Subpackages
Submodules
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) pm4py.objects.log.obj.EventLog [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/>.