pm4py.algo.simulation.playout.petri_net package#

PM4Py – A Process Mining Library for Python

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

Subpackages#

pm4py.algo.simulation.playout.petri_net.variants package

Submodules#

pm4py.algo.simulation.playout.petri_net.algorithm module#

PM4Py – A Process Mining Library for Python

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

class pm4py.algo.simulation.playout.petri_net.algorithm.Variants(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

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'>#

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'>#

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'>#

pm4py.algo.simulation.playout.petri_net.algorithm.apply(net: PetriNet, initial_marking: Marking, final_marking: Marking = None, parameters: Dict[Any, Any] | None = None, variant=Variants.BASIC_PLAYOUT) → 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