pm4py.objects.petri_net.importer 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#
Submodules#
pm4py.objects.petri_net.importer.importer 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.objects.petri_net.importer.importer.Variants(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#
Bases:
Enum- PNML = <module 'pm4py.objects.petri_net.importer.variants.pnml' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\objects\\petri_net\\importer\\variants\\pnml.py'>#
- pm4py.objects.petri_net.importer.importer.apply(input_file_path, variant=Variants.PNML, parameters=None)[source]#
Import a Petri net from a PNML file
Parameters#
- input_file_path
Input file path
- parameters
Other parameters of the importer
- variant
- Variant of the algorithm to use, possible values:
Variants.PNML
- pm4py.objects.petri_net.importer.importer.deserialize(petri_string, variant=Variants.PNML, parameters=None)[source]#
Deserialize a text/binary string representing a Petri net in the PNML format
Parameters#
- petri_string
Petri net expressed as PNML string
- variant
- Variant of the algorithm to use, possible values:
Variants.PNML
- parameters
Other parameters of the algorithm