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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 typing import Optional, Dict, Any, Union
from pm4py.objects.log.obj import EventLog, EventStream
import pandas as pd
from enum import Enum
from pm4py.util import exec_utils
from pm4py.algo.label_splitting.variants import contextual
class Variants(Enum):
CONTEXTUAL = contextual
def apply(log: Union[EventLog, EventStream, pd.DataFrame], variant=Variants.CONTEXTUAL, parameters: Optional[Dict[Any, Any]] = None) -> pd.DataFrame:
"""
Applies a technique of label-splitting, to distinguish between different meanings of the same
activity. The result is a Pandas dataframe where the label-splitting has been applied.
Minimum Viable Example:
import pm4py
from pm4py.algo.label_splitting import algorithm as label_splitter
log = pm4py.read_xes("tests/input_data/receipt.xes")
log2 = label_splitter.apply(log)
Parameters
---------------
log
Event log
parameters
Variant-specific parameters
Returns
---------------
dataframe
Pandas dataframe with the re-labeling
"""
return exec_utils.get_variant(variant).apply(log, parameters)
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