Source code for pm4py.algo.transformation.ocel.features.objects.object_cobirth_graph

'''
    PM4Py – A Process Mining Library for Python
Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or any later version.

This program 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 Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License
along with this program.  If not, see this software project's root or
visit <https://www.gnu.org/licenses/>.

Website: https://processintelligence.solutions
Contact: info@processintelligence.solutions
'''
from pm4py.objects.ocel.obj import OCEL
from typing import Optional, Dict, Any
from pm4py.algo.transformation.ocel.graphs import object_cobirth_graph




def apply(ocel: OCEL, parameters: Optional[Dict[Any, Any]] = None):
    """
    Adds for each object the total number of cobirth object as feature

    Parameters
    -----------------
    ocel
        OCEL
    parameters
        Parameters of the algorithm

    Returns
    -----------------
    data
        Values of the added features
    feature_names
        Names of the added features
    """
    if parameters is None:
        parameters = {}

    ordered_objects = (
        parameters["ordered_objects"]
        if "ordered_objects" in parameters
        else ocel.objects[ocel.object_id_column].to_numpy()
    )

    g0 = object_cobirth_graph.apply(ocel, parameters=parameters)
    conn = {}

    for obj in ordered_objects:
        conn[obj] = set()

    for el in g0:
        conn[el[0]].add(el[1])
        conn[el[1]].add(el[0])

    data = []
    feature_names = ["@@object_cobirth"]

    for obj in ordered_objects:
        data.append([float(len(conn[obj]))])

    return data, feature_names