Source code for pm4py.algo.simulation.playout.dfg.algorithm

'''
    This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

    PM4Py is free software: you can redistribute it and/or modify
    it under the terms of the GNU General Public License as published by
    the Free Software Foundation, either version 3 of the License, or
    (at your option) any later version.

    PM4Py is distributed in the hope that it will be useful,
    but WITHOUT ANY WARRANTY; without even the implied warranty of
    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
    GNU General Public License for more details.

    You should have received a copy of the GNU General Public License
    along with PM4Py.  If not, see <https://www.gnu.org/licenses/>.
'''
from pm4py.algo.simulation.playout.dfg.variants import classic, performance
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, EventStream


[docs]class Variants(Enum): CLASSIC = classic PERFORMANCE = performance
[docs]def apply(dfg: Dict[Tuple[str, str], int], start_activities: Dict[str, int], end_activities: Dict[str, int], variant=Variants.CLASSIC, parameters: Optional[Dict[Any, Any]] = None) -> Union[EventLog, Dict[Tuple[str, str], int]]: """ Applies the playout algorithm on a DFG, extracting the most likely traces according to the DFG Parameters --------------- dfg *Complete* DFG start_activities Start activities end_activities End activities variant Variant of the playout to be used, possible values: - Variants.CLASSIC - Variants.PERFORMANCE parameters Parameters of the algorithm Returns --------------- simulated_log Simulated log """ return exec_utils.get_variant(variant).apply(dfg, start_activities, end_activities, parameters=parameters)