Source code for pm4py.objects.petri_net.inhibitor_reset.semantics
import copy
from pm4py.objects.petri_net.sem_interface import Semantics
from pm4py.objects.petri_net.obj import ResetNet
from pm4py.objects.petri_net.obj import InhibitorNet
[docs]
class InhibitorResetSemantics(Semantics):
[docs]
def is_enabled(self, t, pn, m, **kwargs):
"""
Verifies whether a given transition is enabled in a given Petri net and marking
Parameters
----------
:param t: transition to check
:param pn: Petri net
:param m: marking to check
Returns
-------
:return: true if enabled, false otherwise
"""
return is_enabled(t, pn, m)
[docs]
def execute(self, t, pn, m, **kwargs):
"""
Executes a given transition in a given Petri net and Marking
Parameters
----------
:param t: transition to execute
:param pn: Petri net
:param m: marking to use
Returns
-------
:return: newly reached marking if :param t: is enabled, None otherwise
"""
return execute(t, pn, m)
[docs]
def weak_execute(self, t, pn, m, **kwargs):
"""
Execute a transition even if it is not fully enabled
Parameters
----------
:param t: transition to execute
:param pn: Petri net
:param m: marking to use
Returns
-------
:return: newly reached marking if :param t: is enabled, None otherwise
"""
return weak_execute(t, m)
[docs]
def enabled_transitions(self, pn, m, **kwargs):
"""
Returns a set of enabled transitions in a Petri net and given marking
Parameters
----------
:param pn: Petri net
:param m: marking of the pn
Returns
-------
:return: set of enabled transitions
"""
return enabled_transitions(pn, m)
# 29/08/2021: the following methods have been incapsulated in the InhibitorResetSemantics class.
# the long term idea is to remove them. However, first we need to adapt the existing code to the new
# structure. Moreover, for performance reason, it is better to leave the code here, without having
# to instantiate a InhibitorResetSemantics object.
[docs]
def is_enabled(t, pn, m):
if t not in pn.transitions:
return False
else:
for a in t.in_arcs:
if isinstance(a, InhibitorNet.InhibitorArc):
if m[a.source] > 0:
return False
elif isinstance(a, ResetNet.ResetArc):
pass
elif m[a.source] < a.weight:
return False
return True
[docs]
def execute(t, pn, m):
if not is_enabled(t, pn, m):
return None
m_out = copy.copy(m)
for a in t.in_arcs:
if isinstance(a, ResetNet.ResetArc):
m_out[a.source] = 0
del m_out[a.source]
elif isinstance(a, InhibitorNet.InhibitorArc):
pass
else:
m_out[a.source] -= a.weight
if m_out[a.source] == 0:
del m_out[a.source]
for a in t.out_arcs:
m_out[a.target] += a.weight
return m_out
[docs]
def weak_execute(t, m):
m_out = copy.copy(m)
for a in t.in_arcs:
if isinstance(a, ResetNet.ResetArc):
m_out[a.source] = 0
del m_out[a.source]
elif isinstance(a, InhibitorNet.InhibitorArc):
pass
else:
m_out[a.source] -= a.weight
if m_out[a.source] <= 0:
del m_out[a.source]
for a in t.out_arcs:
m_out[a.target] += a.weight
return m_out
[docs]
def enabled_transitions(pn, m):
enabled = set()
for t in pn.transitions:
if is_enabled(t, pn, m):
enabled.add(t)
return enabled
