import threading import time def wait(predicate, message, info=None, sleep=0.01, notify=60): if predicate(): return 0 start = last_notify = time.time() while not predicate(): now = time.time() if now - last_notify > notify: dur = now - start print(f'{message} {dur:.1f}s: {info}') last_notify = time.time() time.sleep(sleep) return time.time() - start class SamplesPerInsert: def __init__(self, samples_per_insert, tolerance, minsize): assert 1 <= minsize self.samples_per_insert = samples_per_insert self.minsize = minsize self.avail = -minsize self.min_avail = -tolerance self.max_avail = tolerance * samples_per_insert self.size = 0 self.lock = threading.Lock() def save(self): return {'size': self.size, 'avail': self.avail} def load(self, data): self.size = data['size'] self.avail = data['avail'] def want_insert(self): # if self.samples_per_insert <= 0 or self.size < self.minsize: # return True, 'ok' # if self.avail >= self.max_avail: # return False, f'rate limited: {self.avail:.3f} >= {self.max_avail:.3f}' # return True, 'ok' if self.size < self.minsize: return True if self.samples_per_insert <= 0: return True if self.avail < self.max_avail: return True return False def want_sample(self): # if self.size < self.minsize: # return False, f'too empty: {self.size} < {self.minsize}' # if self.samples_per_insert > 0 and self.avail <= self.min_avail: # return False, f'rate limited: {self.avail:.3f} <= {self.min_avail:.3f}' # return True, 'ok' if self.size < self.minsize: return False if self.samples_per_insert <= 0: return True if self.min_avail < self.avail: return True return False def insert(self): with self.lock: self.size += 1 if self.size >= self.minsize: self.avail += self.samples_per_insert # def remove(self): # with self.lock: # self.size -= 1 def sample(self): with self.lock: self.avail -= 1