pm4py.algo.simulation.montecarlo 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

Subpackages#

Submodules#

pm4py.algo.simulation.montecarlo.algorithm 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.simulation.montecarlo.algorithm.Variants(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

PETRI_SEMAPH_FIFO = <module 'pm4py.algo.simulation.montecarlo.variants.petri_semaph_fifo' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\simulation\\montecarlo\\variants\\petri_semaph_fifo.py'>#

pm4py.algo.simulation.montecarlo.algorithm.apply(log: EventLog | DataFrame, net: PetriNet, im: Marking, fm: Marking, variant=Variants.PETRI_SEMAPH_FIFO, parameters: Dict[Any, Any] | None = None) → Tuple[EventLog, Dict[str, Any]][source]#

Performs a Monte Carlo simulation of an accepting Petri net without duplicate transitions and where the preset is always distinct from the postset

Parameters#

log

Event log

net

Accepting Petri net without duplicate transitions and where the preset is always distinct from the postset

im

Initial marking

fm

Final marking

variant

Variant of the algorithm to use: - Variants.PETRI_SEMAPH_FIFO

parameters

Parameters of the algorithm:: Parameters.PARAM_NUM_SIMULATIONS => (default: 100) Parameters.PARAM_FORCE_DISTRIBUTION => Force a particular stochastic distribution (e.g. normal) when the stochastic map is discovered from the log (default: None; no distribution is forced) Parameters.PARAM_ENABLE_DIAGNOSTICS => Enable the printing of diagnostics (default: True) Parameters.PARAM_DIAGN_INTERVAL => Interval of time in which diagnostics of the simulation are printed (default: 32) Parameters.PARAM_CASE_ARRIVAL_RATIO => Case arrival of new cases (default: None; inferred from the log) Parameters.PARAM_PROVIDED_SMAP => Stochastic map that is used in the simulation (default: None; inferred from the log) Parameters.PARAM_MAP_RESOURCES_PER_PLACE => Specification of the number of resources available per place (default: None; each place gets the default number of resources) Parameters.PARAM_DEFAULT_NUM_RESOURCES_PER_PLACE => Default number of resources per place when not specified (default: 1; each place gets 1 resource and has to wait for the resource to finish) Parameters.PARAM_SMALL_SCALE_FACTOR => Scale factor for the sleeping time of the actual simulation (default: 864000.0, 10gg) Parameters.PARAM_MAX_THREAD_EXECUTION_TIME => Maximum execution time per thread (default: 60.0, 1 minute)

Returns#

simulated_log

Simulated event log

simulation_result

Result of the simulation:: Outputs.OUTPUT_PLACES_INTERVAL_TREES => inteval trees that associate to each place the times in which it was occupied. Outputs.OUTPUT_TRANSITIONS_INTERVAL_TREES => interval trees that associate to each transition the intervals of time in which it could not fire because some token was in the output. Outputs.OUTPUT_CASES_EX_TIME => Throughput time of the cases included in the simulated log Outputs.OUTPUT_MEDIAN_CASES_EX_TIME => Median of the throughput times Outputs.OUTPUT_CASE_ARRIVAL_RATIO => Case arrival ratio that was specified in the simulation Outputs.OUTPUT_TOTAL_CASES_TIME => Total time occupied by cases of the simulated log