pm4py.algo.discovery.inductive.fall_through 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

Submodules#

pm4py.algo.discovery.inductive.fall_through.abc 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.discovery.inductive.fall_through.abc.FallThrough[source]#

Bases: ABC, Generic[T]

abstract classmethod holds(t: T, parameters: Dict[str, Any] | None = None) → bool[source]#

abstract classmethod apply(t: T, pool=None, manager=None, parameters: Dict[str, Any] | None = None) → Tuple[ProcessTree, List[T]] | None[source]#

pm4py.algo.discovery.inductive.fall_through.activity_concurrent 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.discovery.inductive.fall_through.activity_concurrent.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

MULTIPROCESSING = 'multiprocessing'#

class pm4py.algo.discovery.inductive.fall_through.activity_concurrent.ActivityConcurrentUVCL[source]#

Bases: FallThrough[IMDataStructureUVCL]

MULTI_PROCESSING_LOWER_BOUND = 20#

classmethod holds(obj: IMDataStructureUVCL, parameters: Dict[str, Any] | None = None) → bool[source]#

classmethod apply(obj: IMDataStructureUVCL, pool=None, manager=None, parameters: Dict[str, Any] | None = None) → Tuple[ProcessTree, List[IMDataStructureUVCL]] | None[source]#

pm4py.algo.discovery.inductive.fall_through.activity_once_per_trace 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.discovery.inductive.fall_through.activity_once_per_trace.ActivityOncePerTraceUVCL[source]#: Bases: ActivityConcurrentUVCL

pm4py.algo.discovery.inductive.fall_through.empty_traces 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.discovery.inductive.fall_through.empty_traces.EmptyTracesUVCL[source]#

Bases: FallThrough[IMDataStructureUVCL]

classmethod apply(obj: IMDataStructureUVCL, pool=None, manager=None, parameters: Dict[str, Any] | None = None) → Tuple[ProcessTree, List[IMDataStructureUVCL]] | None[source]#

classmethod holds(obj: IMDataStructureUVCL, parameters: Dict[str, Any] | None = None) → bool[source]#

class pm4py.algo.discovery.inductive.fall_through.empty_traces.EmptyTracesDFG[source]#

Bases: FallThrough[IMDataStructureDFG]

classmethod apply(obj: IMDataStructureDFG, pool=None, manager=None, parameters: Dict[str, Any] | None = None) → Tuple[ProcessTree, List[IMDataStructureDFG]] | None[source]#

classmethod holds(obj: IMDataStructureDFG, parameters: Dict[str, Any] | None = None) → bool[source]#

pm4py.algo.discovery.inductive.fall_through.factory 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.discovery.inductive.fall_through.factory.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

DISABLE_FALLTHROUGHS = 'disable_fallthroughs'#

class pm4py.algo.discovery.inductive.fall_through.factory.FallThroughFactory[source]#

Bases: object

classmethod get_fall_throughs(obj: T, inst: IMInstance, parameters: Dict[str, Any] | None = None) → List[S][source]#

classmethod fall_through(obj: T, inst: IMInstance, pool, manager, parameters: Dict[str, Any] | None = None) → Tuple[ProcessTree, List[T]][source]#

pm4py.algo.discovery.inductive.fall_through.flower 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.discovery.inductive.fall_through.flower.FlowerModelUVCL[source]#

Bases: FallThrough[IMDataStructureUVCL]

classmethod holds(obj: IMDataStructureUVCL, parameters: Dict[str, Any] | None = None) → bool[source]#

classmethod apply(obj: IMDataStructureUVCL, pool=None, manager=None, parameters: Dict[str, Any] | None = None) → Tuple[ProcessTree, List[IMDataStructureUVCL]] | None[source]#

class pm4py.algo.discovery.inductive.fall_through.flower.FlowerModelDFG[source]#

Bases: FallThrough[IMDataStructureDFG]

classmethod holds(obj: IMDataStructureDFG, parameters: Dict[str, Any] | None = None) → bool[source]#

classmethod apply(obj: IMDataStructureDFG, pool=None, manager=None, parameters: Dict[str, Any] | None = None) → Tuple[ProcessTree, List[IMDataStructureDFG]] | None[source]#

pm4py.algo.discovery.inductive.fall_through.strict_tau_loop 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.discovery.inductive.fall_through.strict_tau_loop.StrictTauLoopUVCL[source]#

Bases: FallThrough[IMDataStructureUVCL]

classmethod holds(obj: IMDataStructureUVCL, parameters: Dict[str, Any] | None = None) → bool[source]#

classmethod apply(obj: IMDataStructureUVCL, pool=None, manager=None, parameters: Dict[str, Any] | None = None) → Tuple[ProcessTree, List[IMDataStructureUVCL]] | None[source]#

pm4py.algo.discovery.inductive.fall_through.tau_loop 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.discovery.inductive.fall_through.tau_loop.TauLoopUVCL[source]#: Bases: StrictTauLoopUVCL