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'''
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.conformance.alignments.decomposed.variants import recompos_maximal
from enum import Enum
from pm4py.util import exec_utils
from typing import Optional, Dict, Any, Union
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
class Variants(Enum):
RECOMPOS_MAXIMAL = recompos_maximal
VERSIONS = {Variants.RECOMPOS_MAXIMAL}
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)
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