pm4py.algo.conformance.tokenreplay 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.conformance.tokenreplay.diagnostics package
  • Submodules
  • pm4py.algo.conformance.tokenreplay.diagnostics.duration_diagnostics module
    • Parameters
      • Parameters.TIMESTAMP_KEY
    • get_case_duration()
    • get_median_case_duration()
    • diagnose_from_notexisting_activities()
    • diagnose_from_trans_fitness()
  • pm4py.algo.conformance.tokenreplay.diagnostics.root_cause_analysis module
    • Parameters
      • Parameters.STRING_ATTRIBUTES
      • Parameters.NUMERIC_ATTRIBUTES
      • Parameters.ENABLE_MULTIPLIER
    • form_log_from_dictio_couple()
    • form_representation_from_dictio_couple()
    • diagnose_from_trans_fitness()
    • diagnose_from_notexisting_activities()
• pm4py.algo.conformance.tokenreplay.variants package
  • Submodules
  • pm4py.algo.conformance.tokenreplay.variants.backwards module
    • Parameters
      • Parameters.CASE_ID_KEY
      • Parameters.ACTIVITY_KEY
      • Parameters.PARAMETER_VARIANT_DELIMITER
      • Parameters.VARIANTS
      • Parameters.PLACES_SHORTEST_PATH_BY_HIDDEN
      • Parameters.THREAD_MAX_EX_TIME
      • Parameters.DISABLE_VARIANTS
      • Parameters.CLEANING_TOKEN_FLOOD
      • Parameters.IS_REDUCTION
      • Parameters.WALK_THROUGH_HIDDEN_TRANS
      • Parameters.RETURN_NAMES
      • Parameters.STOP_IMMEDIATELY_UNFIT
      • Parameters.TRY_TO_REACH_FINAL_MARKING_THROUGH_HIDDEN
      • Parameters.CONSIDER_REMAINING_IN_FITNESS
      • Parameters.ENABLE_PLTR_FITNESS
    • get_bmap()
    • diff_mark()
    • explore_backwards()
    • execute_tr()
    • tr_vlist()
    • apply()
    • get_diagnostics_dataframe()
  • pm4py.algo.conformance.tokenreplay.variants.token_replay module
    • Parameters
      • Parameters.CASE_ID_KEY
      • Parameters.ACTIVITY_KEY
      • Parameters.PARAMETER_VARIANT_DELIMITER
      • Parameters.VARIANTS
      • Parameters.PLACES_SHORTEST_PATH_BY_HIDDEN
      • Parameters.THREAD_MAX_EX_TIME
      • Parameters.DISABLE_VARIANTS
      • Parameters.CLEANING_TOKEN_FLOOD
      • Parameters.IS_REDUCTION
      • Parameters.WALK_THROUGH_HIDDEN_TRANS
      • Parameters.RETURN_NAMES
      • Parameters.STOP_IMMEDIATELY_UNFIT
      • Parameters.TRY_TO_REACH_FINAL_MARKING_THROUGH_HIDDEN
      • Parameters.CONSIDER_REMAINING_IN_FITNESS
      • Parameters.CONSIDER_ACTIVITIES_NOT_IN_MODEL_IN_FITNESS
      • Parameters.ENABLE_PLTR_FITNESS
      • Parameters.SHOW_PROGRESS_BAR
    • TechnicalParameters
      • TechnicalParameters.MAX_REC_DEPTH
      • TechnicalParameters.MAX_IT_FINAL1
      • TechnicalParameters.MAX_IT_FINAL2
      • TechnicalParameters.MAX_REC_DEPTH_HIDTRANSENABL
      • TechnicalParameters.MAX_POSTFIX_SUFFIX_LENGTH
      • TechnicalParameters.MAX_NO_THREADS
      • TechnicalParameters.MAX_DEF_THR_EX_TIME
      • TechnicalParameters.ENABLE_POSTFIX_CACHE
      • TechnicalParameters.ENABLE_MARKTOACT_CACHE
    • DebugConst
      • DebugConst.REACH_MRH
      • DebugConst.REACH_ITF1
      • DebugConst.REACH_ITF2
    • NoConceptNameException
    • add_missing_tokens()
    • get_consumed_tokens()
    • get_produced_tokens()
    • merge_dicts()
    • get_places_with_missing_tokens()
    • get_hidden_transitions_to_enable()
    • get_req_transitions_for_final_marking()
    • enable_hidden_transitions()
    • apply_hidden_trans()
    • break_condition_final_marking()
    • apply_trace()
    • ApplyTraceTokenReplay
      • ApplyTraceTokenReplay.run()
    • PostFixCaching
    • MarkingToActivityCaching
    • get_variant_from_trace()
    • transcribe_result()
    • apply_log()
    • apply()
    • apply_variants_list()
    • apply_variants_dictionary()
    • apply_variants_list_petri_string()
    • apply_variants_list_petri_string_multiprocessing()
    • get_diagnostics_dataframe()

Submodules

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

Bases: Enum

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: EventLog | EventStream | DataFrame, net: PetriNet, initial_marking: Marking, final_marking: Marking, parameters: Dict[Any, Any] | None = None, variant=Variants.TOKEN_REPLAY) → List[Dict[str, Any]]

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: EventLog | EventStream | DataFrame, tbr_output: List[Dict[str, Any]], variant=Variants.TOKEN_REPLAY, parameters: Dict[Any, Any] | None = None) → DataFrame

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