Source code for pm4py.algo.discovery.powl.inductive.fall_through.activity_concurrent

'''
    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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This program is distributed in the hope that it will be useful,
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
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Contact: info@processintelligence.solutions
'''

from collections import Counter
from multiprocessing import Pool, Manager
from typing import Optional, Tuple, List, Any, Dict

from pm4py.algo.discovery.inductive.fall_through.activity_concurrent import (
    ActivityConcurrentUVCL,
)
from pm4py.algo.discovery.inductive.dtypes.im_ds import IMDataStructureUVCL
from pm4py.objects.powl.obj import StrictPartialOrder


[docs] class POWLActivityConcurrentUVCL(ActivityConcurrentUVCL):
[docs] @classmethod def apply( cls, obj: IMDataStructureUVCL, pool: Pool = None, manager: Manager = None, parameters: Optional[Dict[str, Any]] = None, ) -> Optional[Tuple[StrictPartialOrder, List[IMDataStructureUVCL]]]: candidate = cls._get_candidate(obj, pool, manager, parameters) if candidate is None: return None log = obj.data_structure l_a = Counter() l_other = Counter() for t in log: l_a.update({tuple(filter(lambda e: e == candidate, t)): log[t]}) l_other.update( {tuple(filter(lambda e: e != candidate, t)): log[t]} ) children = [IMDataStructureUVCL(l_a), IMDataStructureUVCL(l_other)] return StrictPartialOrder(children), children