Source code for pm4py.algo.discovery.minimum_self_distance.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 enum import Enum
from typing import Union, Optional, Dict, Any

import pandas as pd

from pm4py.algo.discovery.minimum_self_distance.variants import log, pandas
from pm4py.objects.log.obj import EventLog, EventStream
from pm4py.util import exec_utils


[docs]class Variants(Enum): LOG = log PANDAS = pandas
[docs]def apply(log_obj: Union[EventLog, pd.DataFrame, EventStream], variant: Union[str, None] = None, parameters: Optional[Dict[Any, Any]] = None) -> Dict[str, int]: if parameters is None: parameters = {} if variant is None: if isinstance(log_obj, pd.DataFrame): variant = Variants.PANDAS else: variant = Variants.LOG return exec_utils.get_variant(variant).apply(log_obj, parameters=parameters)