Source code for pm4py.objects.petri_net.utils.embed_stochastic_map

'''
    PM4Py – A Process Mining Library for Python
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'''
from pm4py.util.constants import STOCHASTIC_DISTRIBUTION


[docs] def apply(smap, parameters=None): """ Embed the stochastic map into the Petri net Parameters --------------- smap Stochastic map parameters Possible parameters of the algorithm Returns --------------- void """ if parameters is None: parameters = {} for t in smap: t.properties[STOCHASTIC_DISTRIBUTION] = smap[t]
[docs] def extract(net, parameters=None): """ Extract the stochastic map from the Petri net Parameters -------------- net Petri net parameters Possible parameters of the algorithm Returns -------------- void """ if parameters is None: parameters = {} smap = {} for t in net.transitions: smap[t] = t.properties[STOCHASTIC_DISTRIBUTION] return smap