When the lag is greater than the length of the sequence, the calculated statistic is wrong

[ilgouli]

When the lag is greater than the length of the sequence, the calculated statistic is wrong, which should be null

    from coreforecast.grouped_array import GroupedArray
    from coreforecast.lag_transforms import RollingMean, Lag

    data = np.array([213, 173, 273, 284, 179, 409, 33])
    indptr = np.array([0, 7])
    ga = GroupedArray(data, indptr)

    rolling_lag1 = RollingMean(1, 1, 1)
    rolling_lag2 = RollingMean(2, 1, 1)
    rolling_lag7 = RollingMean(7, 2, 1)
    rolling_lag8 = RollingMean(8, 2, 2)
    print(rolling_lag1.update(ga))
    print(rolling_lag2.update(ga))
    print(rolling_lag7.update(ga))
    print(rolling_lag8.update(ga))

Output

[33.]
[409.]
[213.]
[213.]  # Wrong result

[jmoralez]

Hey. Which version are you using? I believe this was fixed in 0.0.12

[ilgouli]

Hey. Which version are you using? I believe this was fixed in 0.0.12

I was using version 0.0.7. After upgrading to 0.0.12, the problem is fixed. Thanks.