Source code for pm4py.objects.petri_net.semantics

import copy
from typing import Counter, Generic, TypeVar
from pm4py.objects.petri_net.obj import PetriNet
from pm4py.objects.petri_net.sem_interface import Semantics

N = TypeVar("N", bound=PetriNet)
T = TypeVar("T", bound=PetriNet.Transition)
P = TypeVar("P", bound=PetriNet.Place)


[docs] class PetriNetSemantics(Generic[N]):
[docs] @classmethod def is_enabled(cls, pn: N, transition: T, marking: Counter[P]) -> bool: """ Checks whether a given transition is enabled in a given Petri net and marking Parameters ---------- :param pn: Petri net :param transition: transition to check :param marking: marking to check Returns ------- :return: true if enabled, false otherwise """ if transition not in pn.transitions: return False else: for a in transition.in_arcs: if marking[a.source] < a.weight: return False return True
[docs] @classmethod def fire(cls, pn: N, transition: T, marking: Counter[P]) -> Counter[P]: """ Execute a transition For performance reasons, the algorithm method not check if the transition is enabled, i.e., this should be performed by the invoking algorithm (if needed). Hence, markings can become negative. Parameters ---------- :param pn: Petri net :param transition: transition to execute :param marking: marking to use Returns ------- :return: newly reached marking """ m_out = copy.copy(marking) for a in transition.in_arcs: m_out[a.source] -= a.weight for a in transition.out_arcs: m_out[a.target] += a.weight return m_out
[docs] class ClassicSemantics(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)
[docs] def is_enabled(t, pn, m): if t not in pn.transitions: return False else: for a in t.in_arcs: if 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: 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: 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