'''
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 enum import Enum
from typing import Optional, Dict, Any, Union
from pm4py.algo.conformance.alignments.edit_distance.variants import edit_distance
from pm4py.objects.log.obj import EventLog
from pm4py.util import exec_utils
from pm4py.util import typing
import pandas as pd
[docs]class Variants(Enum):
EDIT_DISTANCE = edit_distance
[docs]def apply(log1: Union[EventLog, pd.DataFrame], log2: Union[EventLog, pd.DataFrame], variant=Variants.EDIT_DISTANCE,
parameters: Optional[Dict[Any, Any]] = None) -> typing.ListAlignments:
"""
Aligns each trace of the first log against the second log
Parameters
--------------
log1
First log
log2
Second log
variant
Variant of the algorithm, possible values:
- Variants.EDIT_DISTANCE: minimizes the edit distance
parameters
Parameters of the algorithm
Returns
---------------
aligned_traces
List that contains, for each trace of the first log, the corresponding alignment
"""
return exec_utils.get_variant(variant).apply(log1, log2, parameters=parameters)