def calc_gen(self, gen):
fitnessless = gen.get_fitlessness()
if len(fitnessless) == 0:
return
tick_tack = ReplaySubject()
fset = seq(fitnessless) \
.map(lambda wchr: (wchr['name'], wchr['id'])) \
.to_set()
results = []
def remove_fset(result):
wchr, fit = result
tp = wchr['name'], wchr['id']
if tp in fset:
fset.discard(tp)
results.append(result)
if len(fset) == 0:
tick_tack.on_next(0)
s1 = self.executor.sub_compl.subscribe(on_next=remove_fset)
for fn in fitnessless:
self.executor.sub_in.on_next(fn)
if len(fset) == 0:
tick_tack.on_next(0)
tick_tack.to_blocking().first()
tick_tack.dispose()
s1.dispose()
gen.init_fitnesses(results)
if len(gen.get_fitlessness()) > 0:
raise AssertionError("Посчитались не все гены в хромосоме")
def wait_compl_ids(self, ids):
ids = set(ids)
tick_tack = ReplaySubject()
def onn(id):
ids.discard(id)
if len(ids) == 0:
tick_tack.on_completed()
s3 = self.compl_task_id_subject.subscribe(on_next=onn)
for i in self.compl_tasks_ids:
ids.discard(i)
if len(ids) == 0:
tick_tack.on_next(0)
tick_tack.to_blocking().first_or_default(0)
s3.dispose()