pm4py.algo.discovery.powl.inductive.cuts package#

PM4Py – A Process Mining Library for Python

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

Submodules#

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

PM4Py – A Process Mining Library for Python

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

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

Bases: ConcurrencyCut, ABC, Generic[T]

classmethod operator(parameters: Dict[str, Any] | None = None) → StrictPartialOrder[source]#

classmethod apply(obj: T, parameters: Dict[str, Any] | None = None) → Tuple[StrictPartialOrder, List[T]] | None[source]#

class pm4py.algo.discovery.powl.inductive.cuts.concurrency.POWLConcurrencyCutUVCL[source]#: Bases: ConcurrencyCutUVCL, POWLConcurrencyCut[IMDataStructureUVCL]

pm4py.algo.discovery.powl.inductive.cuts.factory module#

PM4Py – A Process Mining Library for Python

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

class pm4py.algo.discovery.powl.inductive.cuts.factory.CutFactory[source]#

Bases: object

classmethod get_cuts(obj: T, parameters: Dict[str, Any] | None = None) → List[Type[S]][source]#

classmethod find_cut(obj: IMDataStructure, parameters: Dict[str, Any] | None = None) → Tuple[POWL, List[T]] | None[source]#

pm4py.algo.discovery.powl.inductive.cuts.loop module#

PM4Py – A Process Mining Library for Python

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

class pm4py.algo.discovery.powl.inductive.cuts.loop.POWLLoopCut[source]#

Bases: LoopCut, ABC, Generic[T]

classmethod operator(parameters: Dict[str, Any] | None = None) → OperatorPOWL[source]#

classmethod apply(obj: T, parameters: Dict[str, Any] | None = None) → Tuple[POWL, List[T]] | None[source]#

class pm4py.algo.discovery.powl.inductive.cuts.loop.POWLLoopCutUVCL[source]#: Bases: LoopCutUVCL, POWLLoopCut[IMDataStructureUVCL]

pm4py.algo.discovery.powl.inductive.cuts.sequence module#

PM4Py – A Process Mining Library for Python

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

class pm4py.algo.discovery.powl.inductive.cuts.sequence.POWLSequenceCut[source]#

Bases: SequenceCut, ABC, Generic[T]

classmethod operator(parameters: Dict[str, Any] | None = None) → Sequence[source]#

classmethod apply(obj: T, parameters: Dict[str, Any] | None = None) → Tuple[Sequence, List[T]] | None[source]#

class pm4py.algo.discovery.powl.inductive.cuts.sequence.POWLStrictSequenceCut[source]#: Bases: POWLSequenceCut[T], StrictSequenceCut, ABC

class pm4py.algo.discovery.powl.inductive.cuts.sequence.POWLSequenceCutUVCL[source]#: Bases: SequenceCutUVCL, POWLSequenceCut[IMDataStructureUVCL]

class pm4py.algo.discovery.powl.inductive.cuts.sequence.POWLStrictSequenceCutUVCL[source]#: Bases: StrictSequenceCutUVCL, StrictSequenceCut[IMDataStructureUVCL], POWLSequenceCutUVCL

pm4py.algo.discovery.powl.inductive.cuts.xor module#

PM4Py – A Process Mining Library for Python

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

class pm4py.algo.discovery.powl.inductive.cuts.xor.POWLExclusiveChoiceCut[source]#

Bases: ExclusiveChoiceCut, ABC, Generic[T]

classmethod operator(parameters: Dict[str, Any] | None = None) → OperatorPOWL[source]#

classmethod apply(obj: T, parameters: Dict[str, Any] | None = None) → Tuple[POWL, List[T]] | None[source]#

class pm4py.algo.discovery.powl.inductive.cuts.xor.POWLExclusiveChoiceCutUVCL[source]#: Bases: ExclusiveChoiceCutUVCL, POWLExclusiveChoiceCut[IMDataStructureUVCL], ABC