pm4py.algo.analysis.marking_equation package

Submodules

pm4py.algo.analysis.marking_equation.algorithm module

class pm4py.algo.analysis.marking_equation.algorithm.Variants(value)[source]

Bases: enum.Enum

An enumeration.

CLASSIC = <module 'pm4py.algo.analysis.marking_equation.variants.classic' from 'C:\\Users\\berti\\FRAUNHOFER\\pm4py-core\\pm4py\\algo\\analysis\\marking_equation\\variants\\classic.py'>
pm4py.algo.analysis.marking_equation.algorithm.build(net: pm4py.objects.petri_net.obj.PetriNet, im: pm4py.objects.petri_net.obj.Marking, fm: pm4py.objects.petri_net.obj.Marking, variant=<Variants.CLASSIC: <module 'pm4py.algo.analysis.marking_equation.variants.classic' from 'C:\\Users\\berti\\FRAUNHOFER\\pm4py-core\\pm4py\\algo\\analysis\\marking_equation\\variants\\classic.py'>>, parameters: Optional[Dict[Any, Any]] = None) → Any[source]

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

pm4py.algo.analysis.marking_equation.algorithm.get_h_value(solver: Any, variant=<Variants.CLASSIC: <module 'pm4py.algo.analysis.marking_equation.variants.classic' from 'C:\\Users\\berti\\FRAUNHOFER\\pm4py-core\\pm4py\\algo\\analysis\\marking_equation\\variants\\classic.py'>>, parameters: Optional[Dict[Any, Any]] = None) → int[source]

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

Module contents