pm4py.algo.simulation.playout.process_tree package

PM4Py – A Process Mining Library for Python

Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)

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

• pm4py.algo.simulation.playout.process_tree.variants package
  • Submodules
  • pm4py.algo.simulation.playout.process_tree.variants.basic_playout module
    • Parameters
      • Parameters.NO_TRACES
    • apply()
  • pm4py.algo.simulation.playout.process_tree.variants.extensive module
    • Parameters
      • Parameters.MIN_TRACE_LENGTH
      • Parameters.MAX_TRACE_LENGTH
      • Parameters.MAX_LOOP_OCC
      • Parameters.ACTIVITY_KEY
      • Parameters.MAX_LIMIT_NUM_TRACES
      • Parameters.RETURN_SET_STRINGS
    • get_playout_leaf()
    • get_playout_xor()
    • get_min_remaining_length()
    • get_max_remaining_length()
    • flatten()
    • get_sequential_compositions_children()
    • get_playout_parallel()
    • get_playout_sequence()
    • get_playout_loop()
    • get_playout()
    • apply()
  • pm4py.algo.simulation.playout.process_tree.variants.topbottom module
    • Parameters
      • Parameters.ACTIVITY_KEY
      • Parameters.NO_TRACES
    • apply()
    • get_ex_seq_in_time()
    • get_num_ex_sequences()
    • get_ex_seq()

Submodules

pm4py.algo.simulation.playout.process_tree.algorithm module

PM4Py – A Process Mining Library for Python

Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)

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

class pm4py.algo.simulation.playout.process_tree.algorithm.Variants(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)

Bases: Enum

BASIC_PLAYOUT = <module 'pm4py.algo.simulation.playout.process_tree.variants.basic_playout' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\simulation\\playout\\process_tree\\variants\\basic_playout.py'>

EXTENSIVE = <module 'pm4py.algo.simulation.playout.process_tree.variants.extensive' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\simulation\\playout\\process_tree\\variants\\extensive.py'>

TOPBOTTOM = <module 'pm4py.algo.simulation.playout.process_tree.variants.topbottom' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\simulation\\playout\\process_tree\\variants\\topbottom.py'>

pm4py.algo.simulation.playout.process_tree.algorithm.apply(tree: ProcessTree, variant=Variants.TOPBOTTOM, parameters: Dict[Any, Any] | None = None) → EventLog

Performs a playout of a process tree

Parameters

tree

Process tree

variant

Variant of the algorithm: - Variants.BASIC_PLAYOUT: basic playout - Variants.EXTENSIVE: extensive playout (all the possible traces)

parameters

Parameters of the algorithm