def test_cv_update_batch():
cv1 = ContinuousValue()
cv2 = ContinuousValue()
nums = [random() for i in range(10)]
for n in nums:
cv1.update(n)
cv2.update_batch(nums)
assert cv1.unbiased_mean() == cv2.unbiased_mean()
assert cv1.biased_std() == cv2.biased_std()
def test_cv_unbiased_mean():
nums = [random() for i in range(10)]
cv = ContinuousValue()
for n in nums:
cv.update(n)
assert cv.unbiased_mean() - sum(nums)/len(nums) <= 1e-6