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Generalized Stochastic Petri Nets

Loading GSPNs

01-gspns.py

Generalized stochastic Petri nets can be given either in the PNPRO format or in the PNML format. We start by loading a GSPN stored in the PNML format:

[1]:
>>> import stormpy
>>> import stormpy.gspn
>>> import stormpy.examples
>>> import stormpy.examples.files

>>> import_path = stormpy.examples.files.gspn_pnml_simple
>>> gspn_parser = stormpy.gspn.GSPNParser()
>>> gspn = gspn_parser.parse(import_path)

After loading, we can display some properties of the GSPN:

[2]:
>>> print("Name of GSPN: {}.".format(gspn.get_name()))
Name of GSPN: simple_gspn.
[3]:
>>> print("Number of places: {}.".format(gspn.get_number_of_places()))
Number of places: 4.
[4]:
>>> print("Number of immediate transitions: {}.".format(gspn.get_number_of_immediate_transitions()))
Number of immediate transitions: 3.
[5]:
>>> print("Number of timed transitions: {}.".format(gspn.get_number_of_timed_transitions()))
Number of timed transitions: 2.

Building GSPNs

02-gspns.py

In the following, we describe how to construct GSPNs via the GSPNBuilder. First, we create an instance of the GSPNBuilder and set the name of the GSPN:

[6]:
>>> builder = stormpy.gspn.GSPNBuilder()
>>> builder.set_name("my_gspn")

In the next step, we add an immediate transition to the GSPN. Additionally, we define the position of the transition by setting its layout information:

[7]:
>>> it_1 = builder.add_immediate_transition(1, 0.0, "it_1")
>>> it_layout = stormpy.gspn.LayoutInfo(1.5, 2.0)
>>> builder.set_transition_layout_info(it_1, it_layout)

We add a timed transition and set its layout information:

[8]:
>>> tt_1 = builder.add_timed_transition(0, 0.4, "tt_1")
>>> tt_layout = stormpy.gspn.LayoutInfo(12.5, 2.0)
>>> builder.set_transition_layout_info(tt_1, tt_layout)

Next, we add two places to the GSPN and set their layouts:

[9]:
>>> place_1 = builder.add_place(1, 1, "place_1")
>>> p1_layout = stormpy.gspn.LayoutInfo(6.5, 2.0)
>>> builder.set_place_layout_info(place_1, p1_layout)

>>> place_2 = builder.add_place(1, 0, "place_2")
>>> p2_layout = stormpy.gspn.LayoutInfo(18.5, 2.0)
>>> builder.set_place_layout_info(place_2, p2_layout)

Places and transitions can be linked by input, output and inhibition arcs. We add the arcs of our GSPN as follows:

[10]:
>>> builder.add_output_arc(it_1, place_1)
>>> builder.add_inhibition_arc(place_1, it_1)
>>> builder.add_input_arc(place_1, tt_1)
>>> builder.add_output_arc(tt_1, place_2)

We can now build the GSPN:

[11]:
>>> gspn = builder.build_gspn()

After building, we export the GSPN. GSPNs can be saved in the PNPRO format via export_gspn_pnpro_file(path) and in the PNML format via export_gspn_pnml_file(path). We export the GSPN into the PNPRO format:

[12]:
>>> export_path = stormpy.examples.files.gspn_pnpro_simple
>>> gspn.export_gspn_pnpro_file(export_path)