pm4py.algo.conformance.footprints.variants package

Submodules

pm4py.algo.conformance.footprints.variants.log_extensive module

class pm4py.algo.conformance.footprints.variants.log_extensive.ConfOutputs(value)[source]

Bases: enum.Enum

An enumeration.

END_ACTIVITIES = 'end_activities'
FOOTPRINTS = 'footprints'
IS_FOOTPRINTS_FIT = 'is_footprints_fit'
MIN_LENGTH_FIT = 'min_length_fit'
START_ACTIVITIES = 'start_activities'
class pm4py.algo.conformance.footprints.variants.log_extensive.Outputs(value)[source]

Bases: enum.Enum

An enumeration.

ACTIVITIES = 'activities'
ACTIVITIES_ALWAYS_HAPPENING = 'activities_always_happening'
DFG = 'dfg'
END_ACTIVITIES = 'end_activities'
MIN_TRACE_LENGTH = 'min_trace_length'
PARALLEL = 'parallel'
SEQUENCE = 'sequence'
SKIPPABLE = 'skippable'
START_ACTIVITIES = 'start_activities'
TRACE = 'trace'
pm4py.algo.conformance.footprints.variants.log_extensive.apply(log_footprints, model_footprints, parameters=None)[source]

Apply footprints conformance between a log footprints object and a model footprints object

Parameters
  • log_footprints – Footprints of the log (entire log)

  • model_footprints – Footprints of the model

  • parameters – Parameters of the algorithm

Returns

Dictionary containing all the violations

Return type

violations

pm4py.algo.conformance.footprints.variants.log_model module

class pm4py.algo.conformance.footprints.variants.log_model.Outputs(value)[source]

Bases: enum.Enum

An enumeration.

ACTIVITIES = 'activities'
ACTIVITIES_ALWAYS_HAPPENING = 'activities_always_happening'
DFG = 'dfg'
END_ACTIVITIES = 'end_activities'
MIN_TRACE_LENGTH = 'min_trace_length'
PARALLEL = 'parallel'
SEQUENCE = 'sequence'
SKIPPABLE = 'skippable'
START_ACTIVITIES = 'start_activities'
TRACE = 'trace'
class pm4py.algo.conformance.footprints.variants.log_model.Parameters(value)[source]

Bases: enum.Enum

An enumeration.

CASE_ID_KEY = 'case_id_glue'
STRICT = 'strict'
pm4py.algo.conformance.footprints.variants.log_model.apply(log_footprints, model_footprints, parameters=None)[source]

Apply footprints conformance between a log footprints object and a model footprints object

Parameters
  • log_footprints – Footprints of the log

  • model_footprints – Footprints of the model

  • parameters

    Parameters of the algorithm, including:
    • Parameters.STRICT => strict check of the footprints

Returns

Set of all the violations between the log footprints and the model footprints, OR list of case-per-case violations

Return type

violations

pm4py.algo.conformance.footprints.variants.log_model.apply_single(log_footprints, model_footprints, parameters=None)[source]

Apply footprints conformance between a log footprints object and a model footprints object

Parameters
  • log_footprints – Footprints of the log (NOT a list, but a single footprints object)

  • model_footprints – Footprints of the model

  • parameters

    Parameters of the algorithm, including:
    • Parameters.STRICT => strict check of the footprints

Returns

Set of all the violations between the log footprints and the model footprints

Return type

violations

pm4py.algo.conformance.footprints.variants.log_model.get_diagnostics_dataframe(log, conf_result, parameters=None)[source]

Gets the diagnostics dataframe from the log and the results of footprints conformance checking (trace-by-trace)

Parameters
  • log – Event log

  • conf_result – Conformance checking results (trace-by-trace)

Returns

Diagnostics dataframe

Return type

diagn_dataframe

pm4py.algo.conformance.footprints.variants.trace_extensive module

class pm4py.algo.conformance.footprints.variants.trace_extensive.ConfOutputs(value)[source]

Bases: enum.Enum

An enumeration.

ACTIVITIES_ALWAYS_HAPPENING = 'activities_always_happening'
END_ACTIVITIES = 'end_activities'
FOOTPRINTS = 'footprints'
IS_FOOTPRINTS_FIT = 'is_footprints_fit'
MIN_LENGTH_FIT = 'min_length_fit'
START_ACTIVITIES = 'start_activities'
class pm4py.algo.conformance.footprints.variants.trace_extensive.Outputs(value)[source]

Bases: enum.Enum

An enumeration.

ACTIVITIES = 'activities'
ACTIVITIES_ALWAYS_HAPPENING = 'activities_always_happening'
DFG = 'dfg'
END_ACTIVITIES = 'end_activities'
MIN_TRACE_LENGTH = 'min_trace_length'
PARALLEL = 'parallel'
SEQUENCE = 'sequence'
SKIPPABLE = 'skippable'
START_ACTIVITIES = 'start_activities'
TRACE = 'trace'
class pm4py.algo.conformance.footprints.variants.trace_extensive.Parameters(value)[source]

Bases: enum.Enum

An enumeration.

CASE_ID_KEY = 'case_id_glue'
ENABLE_ACT_ALWAYS_EXECUTED = 'enable_act_always_executed'
pm4py.algo.conformance.footprints.variants.trace_extensive.apply(log_footprints, model_footprints, parameters=None)[source]

Apply footprints conformance between a log footprints object and a model footprints object

Parameters
  • log_footprints – Footprints of the log (trace-by-trace)

  • model_footprints – Footprints of the model

  • parameters – Parameters of the algorithm

Returns

List containing, for each trace, a dictionary containing the violations

Return type

violations

pm4py.algo.conformance.footprints.variants.trace_extensive.get_diagnostics_dataframe(log, conf_result, parameters=None)[source]

Gets the diagnostics dataframe from the log and the results of footprints conformance checking (trace-by-trace)

Parameters
  • log – Event log

  • conf_result – Conformance checking results (trace-by-trace)

Returns

Diagnostics dataframe

Return type

diagn_dataframe

Module contents