pm4py.algo.conformance.alignments.dfg.algorithm module#

PM4Py – A Process Mining Library for Python

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class pm4py.algo.conformance.alignments.dfg.algorithm.Variants(*values)[source]#

Bases: Enum

CLASSIC = <module 'pm4py.algo.conformance.alignments.dfg.variants.classic' from '/home/berti/pm4py/pm4py/algo/conformance/alignments/dfg/variants/classic.py'>#
pm4py.algo.conformance.alignments.dfg.algorithm.apply(obj: EventLog | DataFrame | Trace, dfg: Dict[Tuple[str, str], int], sa: Dict[str, int], ea: Dict[str, int], variant=Variants.CLASSIC, parameters: Dict[Any, Any] | None = None) → Dict[str, Any] | List[Dict[str, Any]][source]#

Applies the alignment algorithm provided a log/trace object, and a connected DFG

Parameters:

  • obj – Event log / Trace

  • dfg – Connected directly-Follows Graph

  • sa – Start activities

  • ea – End activities

  • variant – Variant of the DFG alignments to be used. Possible values: - Variants.CLASSIC

  • parameters – Variant-specific parameters.

Returns:

Result of the alignment

Return type:

ali

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