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

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class pm4py.algo.discovery.inductive.cuts.abc.Cut[source]#

Bases: ABC, Generic[T]

abstractmethod classmethod operator(parameters: Dict[str, Any] | None = None) → ProcessTree[source]#
abstractmethod classmethod holds(obj: T, parameters: Dict[str, Any] | None = None) → List[Collection[Any]] | None[source]#
classmethod apply(obj: T, parameters: Dict[str, Any] | None = None) → Tuple[ProcessTree, List[T]] | None[source]#
abstractmethod classmethod project(obj: T, groups: List[Collection[Any]], parameters: Dict[str, Any] | None = None) → List[T][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