pm4py.objects.petri_net.importer.variants 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/>.

Submodules#

pm4py.objects.petri_net.importer.variants.pnml 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.variants.pnml.Parameters(value)[source]#

Bases: Enum

An enumeration.

ENCODING = 'encoding'#
AUTO_GUESS_FINAL_MARKING = 'auto_guess_final_marking'#
RETURN_STOCHASTIC_MAP = 'return_stochastic_map'#
pm4py.objects.petri_net.importer.variants.pnml.import_net(input_file_path, parameters=None)[source]#

Import a Petri net from a PNML file

Parameters#

input_file_path

Input file path

parameters

Other parameters of the algorithm

Returns#

net

Petri net

im

Initial marking

fm

Final marking

pm4py.objects.petri_net.importer.variants.pnml.import_net_from_string(petri_string, parameters=None)[source]#

Imports a Petri net from a string

Parameters#

petri_string

(Binary) string representing the Petri net

parameters

Parameters of the algorithm

Returns#

net

Petri net

im

Initial marking

fm

Final marking

pm4py.objects.petri_net.importer.variants.pnml.import_net_from_xml_object(root, parameters=None)[source]#

Import a Petri net from an etree XML object

Parameters#

root

Root object of the XML

parameters

Other parameters of the algorithm: - AUTO_GUESS_FINAL_MARKING: automatic guessing the final marking from the .pnml file