Source code for pm4py.sim

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from collections import Counter
from typing import Union, Tuple

from pm4py.objects.log.obj import EventLog
from pm4py.objects.petri_net.obj import PetriNet, Marking
from pm4py.objects.process_tree.obj import ProcessTree

[docs]def play_out(*args: Union[Tuple[PetriNet, Marking, Marking], dict, Counter, ProcessTree], **kwargs) -> EventLog: """ Performs the playout of the provided model, i.e., gets a set of traces from the model. The function either takes a petri net, initial and final marking, or, a process tree as an input. Parameters --------------- args Model (Petri net, initial, final marking) or ProcessTree kwargs Parameters of the playout Returns -------------- log Simulated event log """ if len(args) == 3: from pm4py.objects.petri_net.obj import PetriNet if type(args[0]) is PetriNet: from pm4py.algo.simulation.playout.petri_net import algorithm return algorithm.apply(args[0], args[1], final_marking=args[2], **kwargs) elif type(args[0]) is dict or type(args[0]) is Counter: from pm4py.objects.dfg.utils import dfg_playout return dfg_playout.apply(args[0], args[1], args[2], **kwargs) elif len(args) == 1: from pm4py.objects.process_tree.obj import ProcessTree if type(args[0]) is ProcessTree: from pm4py.algo.simulation.playout.process_tree import algorithm return algorithm.apply(args[0], **kwargs) raise Exception("unsupported model for playout")
[docs]def generate_process_tree(**kwargs) -> ProcessTree: """ Generates a process tree Parameters ------------- kwargs Parameters of the process tree generator algorithm Returns ------------- model process tree """ from pm4py.algo.simulation.tree_generator import algorithm return algorithm.apply(**kwargs)