Source code for pm4py.visualization.petri_net.variants.wo_decoration

'''
    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.visualization.petri_net.common import visualize
from enum import Enum
from pm4py.util.constants import PARAMETER_CONSTANT_ACTIVITY_KEY, PARAMETER_CONSTANT_TIMESTAMP_KEY
from pm4py.objects.petri_net.obj import PetriNet, Marking
from typing import Optional, Dict, Any, Union, Tuple
from pm4py.objects.log.obj import EventLog, EventStream
import graphviz


[docs]class Parameters(Enum): FORMAT = "format" DEBUG = "debug" RANKDIR = "set_rankdir" ACTIVITY_KEY = PARAMETER_CONSTANT_ACTIVITY_KEY TIMESTAMP_KEY = PARAMETER_CONSTANT_TIMESTAMP_KEY AGGREGATION_MEASURE = "aggregationMeasure" FONT_SIZE = "font_size"
[docs]def apply(net: PetriNet, initial_marking: Marking, final_marking: Marking, log: EventLog = None, aggregated_statistics=None, parameters: Optional[Dict[Union[str, Parameters], Any]] = None) -> graphviz.Digraph: """ Apply method for Petri net visualization (it calls the graphviz_visualization method) Parameters ----------- net Petri net initial_marking Initial marking final_marking Final marking log (Optional) log aggregated_statistics Dictionary containing the frequency statistics parameters Algorithm parameters Returns ----------- viz Graph object """ # remove unused variables del log del aggregated_statistics return visualize.apply(net, initial_marking, final_marking, parameters=parameters)