pm4py.algo.simulation.playout.petri_net.variants package

Submodules

pm4py.algo.simulation.playout.petri_net.variants.basic_playout 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.simulation.playout.petri_net.variants.basic_playout.Parameters

Bases: enum.Enum

An enumeration.

ACTIVITY_KEY = 'pm4py:param:activity_key'

CASE_ID_KEY = 'pm4py:param:case_id_key'

INITIAL_CASE_ID = 'initial_case_id'

INITIAL_TIMESTAMP = 'initial_timestamp'

MAX_TRACE_LENGTH = 'maxTraceLength'

NO_TRACES = 'noTraces'

PETRI_SEMANTICS = 'petri_semantics'

RETURN_VISITED_ELEMENTS = 'return_visited_elements'

TIMESTAMP_KEY = 'pm4py:param:timestamp_key'

pm4py.algo.simulation.playout.petri_net.variants.basic_playout.apply(net: pm4py.objects.petri_net.obj.PetriNet, initial_marking: pm4py.objects.petri_net.obj.Marking, final_marking: pm4py.objects.petri_net.obj.Marking = None, parameters: Optional[Dict[Union[str, pm4py.algo.simulation.playout.petri_net.variants.basic_playout.Parameters], Any]] = None) → pm4py.objects.log.obj.EventLog

Do the playout of a Petrinet generating a log

Parameters:

• net – Petri net to play-out

• initial_marking – Initial marking of the Petri net

• final_marking – If provided, the final marking of the Petri net

• parameters –

  Parameters of the algorithm:

  Parameters.NO_TRACES -> Number of traces of the log to generate Parameters.MAX_TRACE_LENGTH -> Maximum trace length Parameters.INITIAL_TIMESTAMP -> The first event is set with INITIAL_TIMESTAMP increased from 1970 Parameters.INITIAL_CASE_ID -> Numeric case id for the first trace Parameters.PETRI_SEMANTICS -> Petri net semantics to be used (default: petri_nets.semantics.ClassicSemantics())

pm4py.algo.simulation.playout.petri_net.variants.basic_playout.apply_playout(net, initial_marking, no_traces=100, max_trace_length=100, initial_timestamp=10000000, initial_case_id=0, case_id_key='concept:name', activity_key='concept:name', timestamp_key='time:timestamp', final_marking=None, return_visited_elements=False, semantics=<pm4py.objects.petri_net.semantics.ClassicSemantics object>)

Do the playout of a Petrinet generating a log

Parameters:

• net – Petri net to play-out
• initial_marking – Initial marking of the Petri net
• no_traces – Number of traces to generate
• max_trace_length – Maximum number of events per trace (do break)
• initial_timestamp – Increased timestamp from 1970 for the first event
• initial_case_id – Case id of the first event
• case_id_key – Trace attribute that is the case ID
• activity_key – Event attribute that corresponds to the activity
• timestamp_key – Event attribute that corresponds to the timestamp
• final_marking – If provided, the final marking of the Petri net
• semantics – Semantics of the Petri net to be used (default: petri_net.semantics.ClassicSemantics())

pm4py.algo.simulation.playout.petri_net.variants.extensive 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.simulation.playout.petri_net.variants.extensive.Parameters

Bases: enum.Enum

An enumeration.

ACTIVITY_KEY = 'pm4py:param:activity_key'

CASE_ID_KEY = 'pm4py:param:case_id_key'

MAX_MARKING_OCC = 'max_marking_occ'

MAX_TRACE_LENGTH = 'maxTraceLength'

PETRI_SEMANTICS = 'petri_semantics'

RETURN_ELEMENTS = 'return_elements'

TIMESTAMP_KEY = 'pm4py:param:timestamp_key'

pm4py.algo.simulation.playout.petri_net.variants.extensive.apply(net: pm4py.objects.petri_net.obj.PetriNet, initial_marking: pm4py.objects.petri_net.obj.Marking, final_marking: pm4py.objects.petri_net.obj.Marking = None, parameters: Optional[Dict[Union[str, pm4py.algo.simulation.playout.petri_net.variants.extensive.Parameters], Any]] = None) → pm4py.objects.log.obj.EventLog

Do the playout of a Petrinet generating a log (extensive search; stop at the maximum trace length specified

Parameters:

• net – Petri net to play-out

• initial_marking – Initial marking of the Petri net

• final_marking – If provided, the final marking of the Petri net

• parameters –

  Parameters of the algorithm:

  Parameters.MAX_TRACE_LENGTH -> Maximum trace length Parameters.PETRI_SEMANTICS -> Petri net semantics

pm4py.algo.simulation.playout.petri_net.variants.stochastic_playout 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.simulation.playout.petri_net.variants.stochastic_playout.Parameters

Bases: enum.Enum

An enumeration.

ACTIVITY_KEY = 'pm4py:param:activity_key'

CASE_ID_KEY = 'pm4py:param:case_id_key'

LOG = 'log'

MAX_TRACE_LENGTH = 'maxTraceLength'

NO_TRACES = 'noTraces'

PETRI_SEMANTICS = 'petri_semantics'

RETURN_VISITED_ELEMENTS = 'return_visited_elements'

STOCHASTIC_MAP = 'stochastic_map'

TIMESTAMP_KEY = 'pm4py:param:timestamp_key'

pm4py.algo.simulation.playout.petri_net.variants.stochastic_playout.apply(net: pm4py.objects.petri_net.obj.PetriNet, initial_marking: pm4py.objects.petri_net.obj.Marking, final_marking: pm4py.objects.petri_net.obj.Marking = None, parameters: Optional[Dict[Union[str, pm4py.algo.simulation.playout.petri_net.variants.stochastic_playout.Parameters], Any]] = None) → pm4py.objects.log.obj.EventLog

Do the playout of a Petrinet generating a log

Parameters:

• net – Petri net to play-out

• initial_marking – Initial marking of the Petri net

• final_marking – If provided, the final marking of the Petri net

• parameters –

  Parameters of the algorithm:

  Parameters.NO_TRACES -> Number of traces of the log to generate Parameters.MAX_TRACE_LENGTH -> Maximum trace length Parameters.PETRI_SEMANTICS -> Petri net semantics to be used (default: petri_nets.semantics.ClassicSemantics())

pm4py.algo.simulation.playout.petri_net.variants.stochastic_playout.apply_playout(net, initial_marking, no_traces=100, max_trace_length=100, case_id_key='concept:name', activity_key='concept:name', timestamp_key='time:timestamp', final_marking=None, smap=None, log=None, return_visited_elements=False, semantics=<pm4py.objects.petri_net.semantics.ClassicSemantics object>, parameters=None)

Do the playout of a Petrinet generating a log

Parameters:

• net – Petri net to play-out
• initial_marking – Initial marking of the Petri net
• no_traces – Number of traces to generate
• max_trace_length – Maximum number of events per trace (do break)
• case_id_key – Trace attribute that is the case ID
• activity_key – Event attribute that corresponds to the activity
• timestamp_key – Event attribute that corresponds to the timestamp
• final_marking – If provided, the final marking of the Petri net
• smap – Stochastic map
• log – Log
• semantics – Semantics of the Petri net to be used (default: petri_net.semantics.ClassicSemantics())

Module contents

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/>.