This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).
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from pm4py.visualization.petri_net.common import visualize
from pm4py.visualization.petri_net.util import alignments_decoration
from pm4py.objects.petri_net.obj import PetriNet, Marking
from typing import Optional, Dict, Any, Union, Tuple
[docs]def apply(net: PetriNet, initial_marking: Marking, final_marking: Marking, log=None, aggregated_statistics=None, parameters: Optional[Dict[Any, Any]] = None) -> str:
Apply method for Petri net visualization (it calls the
Dictionary containing the frequency statistics
if aggregated_statistics is None and log is not None:
aggregated_statistics = alignments_decoration.get_alignments_decoration(net, initial_marking, final_marking,
return visualize.apply(net, initial_marking, final_marking, parameters=parameters,