7341ea4b72276c36329d618353f54c90bef031fd,dipy/reconst/odf.py,,gfa,#Any#,30

Before Change

    n = samples.shape[-1]
    numer = n * (diff * diff).sum(-1)
    denom = (n - 1) * (samples * samples).sum(-1)
    return np.sqrt(numer / denom)


def minmax_normalize(samples, out=None):
    Min-max normalization of a function evaluated on the unit sphere

After Change

    numer = np.array([n * (diff ** 2).sum(-1)])
    denom = np.array([(n - 1) * (samples ** 2).sum(-1)])
    result = np.ones_like(denom) * np.nan
    idx = np.where(denom > 0)
    result[idx] = np.sqrt(numer[idx] / denom[idx])
    return result.squeeze()

Instances