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

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class pm4py.algo.simulation.playout.dfg.algorithm.Variants(*values)[source]#

Bases: Enum

CLASSIC = <module 'pm4py.algo.simulation.playout.dfg.variants.classic' from '/home/javert/ALE/pm4py/pm4py/algo/simulation/playout/dfg/variants/classic.py'>#
PERFORMANCE = <module 'pm4py.algo.simulation.playout.dfg.variants.performance' from '/home/javert/ALE/pm4py/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: Dict[Any, Any] | None = None) → EventLog | Dict[Tuple[str, str], int][source]#

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

Parameters:

  • dfg – Complete 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