pm4py.algo.discovery.inductive.cuts.concurrency module#

class pm4py.algo.discovery.inductive.cuts.concurrency.ConcurrencyCut[source]#

Bases: Cut[T], ABC, Generic[T]

classmethod operator(parameters: Dict[str, Any] | None = None) → ProcessTree[source]#
classmethod holds(obj: T, parameters: Dict[str, Any] | None = None) → List[Collection[Any]] | None[source]#
class pm4py.algo.discovery.inductive.cuts.concurrency.ConcurrencyCutUVCL[source]#

Bases: ConcurrencyCut[IMDataStructureUVCL]

classmethod project(obj: IMDataStructureUVCL, groups: List[Collection[Any]], parameters: Dict[str, Any] | None = None) → List[IMDataStructureUVCL][source]#

Projection of the given data object (Generic type T). Returns a corresponding process tree and the projected sub logs according to the identified groups. A precondition of the project function is that it holds on the object for the given Object

class pm4py.algo.discovery.inductive.cuts.concurrency.ConcurrencyCutDFG[source]#

Bases: ConcurrencyCut[IMDataStructureDFG]

classmethod project(obj: IMDataStructureDFG, groups: List[Collection[Any]], parameters: Dict[str, Any] | None = None) → List[IMDataStructureDFG][source]#

Projection of the given data object (Generic type T). Returns a corresponding process tree and the projected sub logs according to the identified groups. A precondition of the project function is that it holds on the object for the given Object