Source code for pm4py.algo.analysis.marking_equation.algorithm
'''
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 enum import Enum
from typing import Optional, Dict, Any
from pm4py.algo.analysis.marking_equation.variants import classic
from pm4py.objects.petri_net.obj import PetriNet, Marking
from pm4py.util import exec_utils
[docs]
class Variants(Enum):
CLASSIC = classic
[docs]
def build(
net: PetriNet,
im: Marking,
fm: Marking,
variant=Variants.CLASSIC,
parameters: Optional[Dict[Any, Any]] = None,
) -> Any:
"""
Builds the marking equation out of a Petri net
Parameters
---------------
net
Petri net
im
Initial marking
fm
Final marking
variant
Variant of the algorithm to use, possible values:
- Variants.CLASSIC
parameters
Parameters of the algorithm, including:
- Parameters.CASE_ID_KEY => attribute to use as case identifier
- Parameters.ACTIVITY_KEY => attribute to use as activity
- Parameters.COSTS => (if provided) the cost function (otherwise the default cost function is applied)
- Parameters.INCIDENCE_MATRIX => (if provided) the incidence matrix of the Petri net
- Parameters.A => (if provided) the A numpy matrix of the incidence matrix
- Parameters.FULL_BOOTSTRAP_REQUIRED => The preset/postset of places/transitions need to be inserted
"""
return exec_utils.get_variant(variant).build(
net, im, fm, parameters=parameters
)
[docs]
def get_h_value(
solver: Any,
variant=Variants.CLASSIC,
parameters: Optional[Dict[Any, Any]] = None,
) -> int:
"""
Gets the heuristics value from the marking equation
Parameters
--------------
solver
Marking equation solver (class in this file)
variant
Variant of the algorithm to use, possible values:
- Variants.CLASSIC
parameters
Possible parameters of the algorithm
"""
return exec_utils.get_variant(variant).get_h_value(
solver, parameters=parameters
)