def test_rescale_threshold(self): infinity = float('inf') for alpha in (0.015, 1e-10, 1): rescale_threshold = ExponentiallyDecayingSample.calculate_rescale_threshold(alpha) min_rand_val = 1.0 / (2 ** 32) max_priority = math.exp(alpha * rescale_threshold) / min_rand_val self.assertLess(max_priority, infinity)
def test_rescale_threshold(self): infinity = float('inf') for alpha in (0.015, 1e-10, 1): rescale_threshold = \ ExponentiallyDecayingSample.calculate_rescale_threshold(alpha) min_rand_val = 1.0 / (2**32) max_priority = math.exp(alpha * rescale_threshold) / min_rand_val self.assertLess(max_priority, infinity)