pm4py.algo.analysis.woflan.place_invariants package
Submodules
pm4py.algo.analysis.woflan.place_invariants.place_invariants 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/>.
- pm4py.algo.analysis.woflan.place_invariants.place_invariants.compute_place_invariants(net)[source]
We compute the NUllspace of the incidence matrix and obtain the place-invariants. :param net: Petri Net of which we want to know the place invariants. :return: Set of place invariants of the given Petri Net.
pm4py.algo.analysis.woflan.place_invariants.s_component 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/>.
- pm4py.algo.analysis.woflan.place_invariants.s_component.apply(net)[source]
General method to obtain a list of S-components :param net: Petri Net for which S-components should be computed :return: A list of S-components
- pm4py.algo.analysis.woflan.place_invariants.s_component.compute_s_components(net, p_invariants)[source]
We perform the hint in 5.4.4 of https://pure.tue.nl/ws/portalfiles/portal/1596223/9715985.pdf :param p_invariants: Semi-positive basis we calculate previously :return: A list of S-Components. A s-component consists of a set which includes all related transitions a places
pm4py.algo.analysis.woflan.place_invariants.uniform_invariant 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/>.
pm4py.algo.analysis.woflan.place_invariants.utility 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/>.
- pm4py.algo.analysis.woflan.place_invariants.utility.compute_uncovered_places(invariants, net)[source]
Compute a list of uncovered places for invariants of a given Petri Net. Note that there exists a separate algorithm for s-components :param invariants: list of invariants. Each invariants is a numpy-Array representation :param net: Petri Net object of PM4Py :return: List of uncovered place over all invariants
- pm4py.algo.analysis.woflan.place_invariants.utility.removearray(L, arr)[source]
Remove an array from a given list and return the list with the removed element. :param L: list object :param arr: array that has to be removed :return: list object without array
- pm4py.algo.analysis.woflan.place_invariants.utility.transform_basis(basis, style=None)[source]
We construct a (I)LP to transform our basis into a set of vectors by using linear combination to fit certain styles/ properties :param basis: list of p-invariants. Commonly computed by the method ‘compute_place_invariants’ in place_invariants.py :param style: String that is used to construct certain constraints At the moment, ‘uniform’ (all weights have value 0 or 1), and ‘weighted’ (all weights are >=0) are supported :return: List of p-invariants that fits the style
Module contents
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/>.