Source code for pm4py.algo.discovery.powl.inductive.cuts.factory

'''
    PM4Py – A Process Mining Library for Python
Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
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Contact: info@processintelligence.solutions
'''

from typing import List, Optional, Tuple, Dict, Any, Type

from pm4py.algo.discovery.inductive.cuts.factory import S, T
from pm4py.algo.discovery.powl.inductive.cuts.concurrency import (
    POWLConcurrencyCutUVCL,
)
from pm4py.algo.discovery.powl.inductive.cuts.loop import POWLLoopCutUVCL
from pm4py.algo.discovery.powl.inductive.cuts.sequence import (
    POWLStrictSequenceCutUVCL,
)
from pm4py.algo.discovery.powl.inductive.cuts.xor import (
    POWLExclusiveChoiceCutUVCL,
)
from pm4py.algo.discovery.inductive.dtypes.im_ds import (
    IMDataStructure,
    IMDataStructureUVCL,
)
from pm4py.objects.powl.obj import POWL


[docs] class CutFactory:
[docs] @classmethod def get_cuts( cls, obj: T, parameters: Optional[Dict[str, Any]] = None ) -> List[Type[S]]: if type(obj) is IMDataStructureUVCL: return [ POWLExclusiveChoiceCutUVCL, POWLStrictSequenceCutUVCL, POWLConcurrencyCutUVCL, POWLLoopCutUVCL, ] return list()
[docs] @classmethod def find_cut( cls, obj: IMDataStructure, parameters: Optional[Dict[str, Any]] = None ) -> Optional[Tuple[POWL, List[T]]]: for c in CutFactory.get_cuts(obj): r = c.apply(obj, parameters) if r is not None: return r return None