def setModel(self, model):
"""Sets model for validator.
Gives the validator a new model to validate. This function must be successfully called whenever the
model to be validated changes in any way."""
self.__modelMutex.acquire()
self.__model = model
self.__queue = [model.getInitialState()]
self.__routes = {str(self.__queue[0]): None}
self.__modelMutex.release()
def analyseModel(model):
for prop in model.getInitialState().getStateProps():
if str(prop).endswith('SwitcherBase'):
base_prop = prop
break
else:
base_prop = None
actions = set()
states = set()
sleepstates = set()
transitions = set()
stateprops = set()
stateprop_combs = set()
sleep_stateprop_combs = set()
aw_stateprop_combs = set()
def isSleepState():
return base_prop in current_props
def isActionWord(action):
return str(action).find(':start_aw') != -1
stack = [model.getInitialState()]
while len(stack) > 0:
state = stack.pop()
current_props = frozenset(state.getStateProps())
states.add(state)
if isSleepState():
sleepstates.add(state)
for stateprop in current_props:
stateprops.add(stateprop)
stateprop_combs.add(current_props)
if isSleepState():
sleep_stateprop_combs.add(current_props)
for transition in state.getOutTransitions():
current_action = transition.getAction()
actions.add(current_action)
transitions.add(transition)
if isActionWord(current_action):
aw_stateprop_combs.add((current_action, current_props))
if transition.getDestState() not in states:
stack.append(transition.getDestState())
result = {}
result[ACTIONS] = len(actions)
result[ACTIONWORDS] = len([a for a in actions if isActionWord(a)])
result[STATES] = len(states)
result[SLEEPSTATES] = len(sleepstates)
result[TRANSITIONS] = len(transitions)
result[STATEPROPOSITIONS] = len(stateprops)
result[STATEPROPOSITION_COMBINATIONS] = len(stateprop_combs)
result[SLEEPING_STATEPROPOSITION_COMBINATIONS] = len(sleep_stateprop_combs)
result[ACTIONWORD_STATEPROPOSITION_COMBINATIONS] = len(aw_stateprop_combs)
return result
def analyseModel(model):
for prop in model.getInitialState().getStateProps():
if str(prop).endswith('SwitcherBase'):
base_prop = prop
break
else:
base_prop = None
actions = set()
states = set()
sleepstates = set()
transitions = set()
stateprops = set()
stateprop_combs = set()
sleep_stateprop_combs = set()
aw_stateprop_combs = set()
def isSleepState():
return base_prop in current_props
def isActionWord(action):
return str(action).find(':start_aw') != -1
stack = [model.getInitialState()]
while len(stack) > 0:
state = stack.pop()
current_props = frozenset(state.getStateProps())
states.add(state)
if isSleepState():
sleepstates.add(state)
for stateprop in current_props:
stateprops.add(stateprop)
stateprop_combs.add(current_props)
if isSleepState():
sleep_stateprop_combs.add(current_props)
for transition in state.getOutTransitions():
current_action = transition.getAction()
actions.add(current_action)
transitions.add(transition)
if isActionWord(current_action):
aw_stateprop_combs.add((current_action, current_props))
if transition.getDestState() not in states:
stack.append(transition.getDestState())
result = {}
result[ACTIONS] = len(actions)
result[ACTIONWORDS] = len([a for a in actions if isActionWord(a)])
result[STATES] = len(states)
result[SLEEPSTATES] = len(sleepstates)
result[TRANSITIONS] = len(transitions)
result[STATEPROPOSITIONS] = len(stateprops)
result[STATEPROPOSITION_COMBINATIONS] = len(stateprop_combs)
result[SLEEPING_STATEPROPOSITION_COMBINATIONS] = len(sleep_stateprop_combs)
result[ACTIONWORD_STATEPROPOSITION_COMBINATIONS] = len(aw_stateprop_combs)
return result
