pm4py.objects.petri_net.importer.variants 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.objects.petri_net.importer.variants.pnml 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.objects.petri_net.importer.variants.pnml.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

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