pm4py.algo.conformance.alignments.process_tree.util package#

PM4Py â€“ 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.conformance.alignments.process_tree.util.search_graph_pt_frequency_annotation 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.conformance.alignments.process_tree.util.search_graph_pt_frequency_annotation.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

NUM_EVENTS_PROPERTY = 'num_events_property'#

NUM_CASES_PROPERTY = 'num_cases_property'#

pm4py.algo.conformance.alignments.process_tree.util.search_graph_pt_frequency_annotation.apply(pt: ProcessTree, align_result: Dict[str, Any] | List[Dict[str, Any]], parameters: Dict[Any, Any] | None = None) → ProcessTree[source]#

Annotate a process tree with frequency information (number of events / number of cases), given the results of an alignment performed on the process tree.

Parameters#

pt: Process tree
parameters: Parameters of the algorithm, including: - Parameters.NUM_EVENTS_PROPERTY => number of events - Parameters.NUM_CASES_PROPERTY => number of cases

Returns#

pt: Annotated process tree

pm4py.algo.conformance.alignments.process_tree.util.search_graph_pt_replay_semantics 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

pm4py.algo.conformance.alignments.process_tree.util.search_graph_pt_replay_semantics.get_initial_state(tree: ProcessTree) → Dict[Tuple[int, ProcessTree], OperatorState][source]#

pm4py.algo.conformance.alignments.process_tree.util.search_graph_pt_replay_semantics.transform_tree(tree: ProcessTree, state_type: OperatorState, state: Dict[Tuple[int, ProcessTree], OperatorState]) → Tuple[List[Tuple[ProcessTree, OperatorState]], Dict[Tuple[int, ProcessTree], OperatorState]][source]#

pm4py.algo.conformance.alignments.process_tree.util.search_graph_pt_replay_semantics.can_enable(tree: ProcessTree, state: Dict[Tuple[int, ProcessTree], OperatorState]) → bool[source]#

pm4py.algo.conformance.alignments.process_tree.util.search_graph_pt_replay_semantics.can_open(tree: ProcessTree, state: Dict[Tuple[int, ProcessTree], OperatorState]) → bool[source]#

pm4py.algo.conformance.alignments.process_tree.util.search_graph_pt_replay_semantics.can_close(tree: ProcessTree, state: Dict[Tuple[int, ProcessTree], OperatorState]) → bool[source]#

pm4py.algo.conformance.alignments.process_tree.util.search_graph_pt_replay_semantics.close_vertex(tree: ProcessTree, state: Dict[Tuple[int, ProcessTree], OperatorState]) → Tuple[List[Tuple[ProcessTree, OperatorState]] | None, Dict[Tuple[int, ProcessTree], OperatorState] | None][source]#

pm4py.algo.conformance.alignments.process_tree.util.search_graph_pt_replay_semantics.enable_vertex(tree: ProcessTree, state: Dict[Tuple[int, ProcessTree], OperatorState]) → Tuple[List[Tuple[ProcessTree, OperatorState]] | None, Dict[Tuple[int, ProcessTree], OperatorState] | None][source]#

pm4py.algo.conformance.alignments.process_tree.util.search_graph_pt_replay_semantics.open_vertex(tree: ProcessTree, state: Dict[Tuple[int, ProcessTree], OperatorState]) → Tuple[List[Tuple[ProcessTree, OperatorState]] | None, Dict[Tuple[int, ProcessTree], OperatorState] | None][source]#

pm4py.algo.conformance.alignments.process_tree.util.search_graph_pt_replay_semantics.shortest_path_to_open(tree: ProcessTree, state: Dict[Tuple[int, ProcessTree], OperatorState]) → Tuple[List[Tuple[ProcessTree, OperatorState]], Dict[Tuple[int, ProcessTree], OperatorState]][source]#

pm4py.algo.conformance.alignments.process_tree.util.search_graph_pt_replay_semantics.shortest_path_to_close(tree: ProcessTree, state: Dict[Tuple[int, ProcessTree], OperatorState]) → Tuple[List[Tuple[ProcessTree, OperatorState]], Dict[Tuple[int, ProcessTree], OperatorState]][source]#

pm4py.algo.conformance.alignments.process_tree.util.search_graph_pt_replay_semantics.shortest_path_to_enable(tree: ProcessTree, state: Dict[Tuple[int, ProcessTree], OperatorState]) → Tuple[List[Tuple[ProcessTree, OperatorState]], Dict[Tuple[int, ProcessTree], OperatorState]][source]#