7f5ffac4a2d292e215142c56fe97dcf53be560d6,cnvlib/smoothing.py,,rolling_median,#Any#Any#,34

Before Change

    
    x, wing = check_inputs(x, width)
    // Pre-allocate the result array
    result = np.empty_like(x)
    // Keep a copy of the rolling window in original order; initially fill with
    // a mirrored copy of the first "wing" points
    window = deque(np.concatenate((x[wing::-1], x[:wing])))
    // Also keep a sorted copy of the rolling window values

After Change

    x, wing = check_inputs(x, width)
    // Pad the edges of the original array with mirror copies
    signal = np.concatenate((x[wing-1::-1], x, x[:-wing-1:-1]))
    rolled = pd.rolling_median(signal, 2 * wing + 1, center=True)
    return rolled[wing:-wing]


def rolling_quantile(x, width, quantile):
    Rolling quantile (0--1) with mirrored edges.

Instances