'''
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.statistics.passed_time.pandas.variants import pre, post, prepost
from enum import Enum
from pm4py.util import exec_utils
from typing import Optional, Dict, Any, Union, Tuple, List, Set
import pandas as pd
[docs]class Variants(Enum):
PRE = pre
POST = post
PREPOST = prepost
VERSIONS = {Variants.PRE, Variants.POST, Variants.PREPOST}
[docs]def apply(df: pd.DataFrame, activity: str, variant=Variants.PRE, parameters: Optional[Dict[Any, Any]] = None) -> Dict[str, Any]:
"""
Gets statistics on execution times of the paths to/from the activity
Parameters
------------
df
Dataframe
activity
Activity
variant
Variant:
- Variants.PRE
- Variants.POST
- Variants.PREPOST
parameters
Possible parameters of the algorithm
Returns
-----------
dictio
Dictio containing the times from/to the activity
"""
return exec_utils.get_variant(variant).apply(df, activity, parameters=parameters)