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

## pm4py.algo.simulation.playout.dfg.algorithm module

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.

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

Bases: enum.Enum

An enumeration.

CLASSIC = <module 'pm4py.algo.simulation.playout.dfg.variants.classic' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\simulation\\playout\\dfg\\variants\\classic.py'>
PERFORMANCE = <module 'pm4py.algo.simulation.playout.dfg.variants.performance' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\simulation\\playout\\dfg\\variants\\performance.py'>
pm4py.algo.simulation.playout.dfg.algorithm.apply(dfg: Dict[Tuple[str, str], int], start_activities: Dict[str, int], end_activities: Dict[str, int], variant=Variants.CLASSIC, parameters: Optional[Dict[Any, Any]] = None) Union[pm4py.objects.log.obj.EventLog, Dict[Tuple[str, str], int]][source]

Applies the playout algorithm on a DFG, extracting the most likely traces according to the DFG

Parameters
• dfgComplete DFG

• start_activities – Start activities

• end_activities – End activities

• variant – Variant of the playout to be used, possible values: - Variants.CLASSIC - Variants.PERFORMANCE

• parameters – Parameters of the algorithm

Returns

Simulated log

Return type

simulated_log