pm4py.algo.conformance.tokenreplay 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.tokenreplay.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.tokenreplay.algorithm.Variants(value)[source]#

Bases: Enum

An enumeration.

TOKEN_REPLAY = <module 'pm4py.algo.conformance.tokenreplay.variants.token_replay' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\conformance\\tokenreplay\\variants\\token_replay.py'>#
BACKWARDS = <module 'pm4py.algo.conformance.tokenreplay.variants.backwards' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\conformance\\tokenreplay\\variants\\backwards.py'>#
pm4py.algo.conformance.tokenreplay.algorithm.apply(log: Union[EventLog, EventStream, DataFrame], net: PetriNet, initial_marking: Marking, final_marking: Marking, parameters: Optional[Dict[Any, Any]] = None, variant=Variants.TOKEN_REPLAY) List[Dict[str, Any]][source]#

Method to apply token-based replay

Parameters#

log

Log

net

Petri net

initial_marking

Initial marking

final_marking

Final marking

parameters
Parameters of the algorithm, including:

Parameters.ACTIVITY_KEY -> Activity key

variant
Variant of the algorithm to use:
  • Variants.TOKEN_REPLAY

  • Variants.BACKWARDS

pm4py.algo.conformance.tokenreplay.algorithm.get_diagnostics_dataframe(log: Union[EventLog, EventStream, DataFrame], tbr_output: List[Dict[str, Any]], variant=Variants.TOKEN_REPLAY, parameters: Optional[Dict[Any, Any]] = None) DataFrame[source]#

Gets the results of token-based replay in a dataframe

Parameters#

log

Event log

tbr_output

Output of the token-based replay technique

variant
Variant of the algorithm to use:
  • Variants.TOKEN_REPLAY

  • Variants.BACKWARDS

Returns#

dataframe

Diagnostics dataframe