pm4py.algo.conformance.alignments.decomposed package#

This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

PM4Py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

PM4Py 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 General Public License for more details.

You should have received a copy of the GNU General Public License along with PM4Py. If not, see <https://www.gnu.org/licenses/>.

Subpackages#

Submodules#

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

This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

PM4Py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

PM4Py 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 General Public License for more details.

You should have received a copy of the GNU General Public License along with PM4Py. If not, see <https://www.gnu.org/licenses/>.

class pm4py.algo.conformance.alignments.decomposed.algorithm.Variants(value)[source]#

Bases: Enum

An enumeration.

RECOMPOS_MAXIMAL = <module 'pm4py.algo.conformance.alignments.decomposed.variants.recompos_maximal' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\conformance\\alignments\\decomposed\\variants\\recompos_maximal.py'>#
pm4py.algo.conformance.alignments.decomposed.algorithm.apply(log: Union[EventLog, DataFrame], net: PetriNet, im: Marking, fm: Marking, variant=Variants.RECOMPOS_MAXIMAL, parameters: Optional[Dict[Any, Any]] = None) List[Dict[str, Any]][source]#

Apply the recomposition alignment approach to a log and a Petri net performing decomposition

Parameters#

log

Event log

net

Petri net

im

Initial marking

fm

Final marking

variant
Variant of the algorithm, possible values:
  • Variants.RECOMPOS_MAXIMAL

parameters

Parameters of the algorithm

Returns#

aligned_traces

For each trace, return its alignment