fibonacci_runner.py 2.2 KB

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  1. from state.devstate import DevState
  2. from bootstrap.scd import bootstrap_scd
  3. from api.od import ODAPI
  4. from concrete_syntax.common import indent
  5. from concrete_syntax.textual_od import renderer as od_renderer
  6. from concrete_syntax.plantuml import renderer as plantuml
  7. from concrete_syntax.plantuml.make_url import make_url as make_plantuml_url
  8. from concrete_syntax.graphviz.make_url import make_url as make_graphviz_url
  9. from concrete_syntax.graphviz import renderer as graphviz
  10. from transformation.matcher import match_od
  11. from transformation.rewriter import rewrite
  12. from transformation.cloner import clone_od
  13. from transformation.ramify import ramify
  14. from transformation.rule import RuleMatcherRewriter, ActionGenerator
  15. from examples.semantics.operational import simulator
  16. from util import loader
  17. import models
  18. state = DevState()
  19. scd_mmm = bootstrap_scd(state)
  20. print("Parsing models...")
  21. mm, mm_rt, m, m_rt_initial = models.load_fibonacci(state, scd_mmm)
  22. mm_rt_ramified = ramify(state, mm_rt)
  23. # print("RT-MM")
  24. # print(make_plantuml_url(plantuml.render_class_diagram(state, mm_rt)))
  25. # print("RAMIFIED RT-MM")
  26. # print(make_plantuml_url(plantuml.render_class_diagram(state, mm_rt_ramified)))
  27. high_priority_rules, low_priority_rules = models.load_rules(state, mm_rt_ramified)
  28. matcher_rewriter = RuleMatcherRewriter(state, mm_rt, mm_rt_ramified)
  29. high_priority_actions = ActionGenerator(matcher_rewriter, high_priority_rules)
  30. low_priority_actions = ActionGenerator(matcher_rewriter, low_priority_rules)
  31. # yields the currently enabled actions
  32. def generate_actions(od):
  33. at_least_one_match = yield from high_priority_actions(od)
  34. if not at_least_one_match:
  35. # Only if no other action is possible, can time advance:
  36. yield from low_priority_actions(od)
  37. sim = simulator.Simulator(
  38. action_generator=generate_actions,
  39. # decision_maker=simulator.InteractiveDecisionMaker(auto_proceed=False),
  40. decision_maker=simulator.RandomDecisionMaker(seed=0),
  41. termination_condition=lambda od: "Time is up" if od.get_slot_value(od.get_all_instances("Clock")[0][1], "time") >= 10 else None,
  42. check_conformance=True,
  43. verbose=True,
  44. renderer=lambda od: od_renderer.render_od(state, od.m, od.mm, hide_names=False),
  45. )
  46. sim.run(ODAPI(state, m_rt_initial, mm_rt))