pm4py.objects.petri_net.importer package#

This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

PM4Py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

PM4Py 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 General Public License for more details.

You should have received a copy of the GNU General Public License along with PM4Py. If not, see <https://www.gnu.org/licenses/>.

Subpackages#

Submodules#

pm4py.objects.petri_net.importer.importer module#

This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

PM4Py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

PM4Py 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 General Public License for more details.

You should have received a copy of the GNU General Public License along with PM4Py. If not, see <https://www.gnu.org/licenses/>.

class pm4py.objects.petri_net.importer.importer.Variants(value)[source]#

Bases: Enum

An enumeration.

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