def test_lazy_evaluate_at_least_once_each_node():
evaluated = []
def func():
evaluated.append('bla')
pg = PortGraph()
vid = pg.add_actor(FuncNode(func))
assert pg.actor(vid).is_lazy()
algo = LazyEvaluation(pg)
env = EvaluationEnvironment()
ws = WorkflowState(pg)
algo.eval(env, ws)
assert len(evaluated) == 1
algo.eval(env, ws)
assert len(evaluated) == 1
def test_lazy_do_not_reevaluate_node_if_same_execution():
evaluated = []
def func(txt):
evaluated.append(txt)
return txt
pg = PortGraph()
vid = pg.add_actor(FuncNode(func))
assert pg.actor(vid).is_lazy()
algo = LazyEvaluation(pg)
env = EvaluationEnvironment()
ws = WorkflowState(pg)
ws.store_param(pg.in_port(vid, 'txt'), 'toto', env.current_execution())
algo.eval(env, ws)
assert len(evaluated) == 1
algo.eval_node(env, ws, vid)
assert len(evaluated) == 1
def test_lazy_always_reevaluate_non_lazy_nodes():
evaluated = []
def func(txt):
evaluated.append(txt)
return txt
pg = PortGraph()
vid = pg.add_actor(FuncNode(func))
pg.actor(vid).set_lazy(False)
algo = LazyEvaluation(pg)
env = EvaluationEnvironment()
ws = WorkflowState(pg)
ws.store_param(pg.in_port(vid, 'txt'), 'toto', env.current_execution())
algo.eval(env, ws)
assert len(evaluated) == 1
env.new_execution()
algo.eval(env, ws)
assert len(evaluated) == 2
