Source code for pm4py.algo.conformance.alignments.decomposed.algorithm

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from pm4py.algo.conformance.alignments.decomposed.variants import recompos_maximal
from enum import Enum
from pm4py.util import exec_utils
from typing import Optional, Dict, Any, Union, Tuple
from pm4py.objects.log.obj import EventLog
from pm4py.objects.petri_net.obj import PetriNet, Marking
from pm4py.util import typing
import pandas as pd

[docs]class Variants(Enum): RECOMPOS_MAXIMAL = recompos_maximal
[docs]def apply(log: Union[EventLog, pd.DataFrame], net: PetriNet, im: Marking, fm: Marking, variant=Variants.RECOMPOS_MAXIMAL, parameters: Optional[Dict[Any, Any]] = None) -> typing.ListAlignments: """ Apply the recomposition alignment approach to a log and a Petri net performing decomposition Parameters -------------- log Event log net Petri net im Initial marking fm Final marking variant Variant of the algorithm, possible values: - Variants.RECOMPOS_MAXIMAL parameters Parameters of the algorithm Returns -------------- aligned_traces For each trace, return its alignment """ return exec_utils.get_variant(variant).apply(log, net, im, fm, parameters=parameters)