a731dbfb00e17f59b55d0b36a14f69c65e9a849a,dipy/reconst/shm.py,,normalize_data,#Any#Any#Any#Any#,388

Before Change

    dwi = asarray(dwi, "float")
    b0 = data[..., where_b0].mean(-1)
    b0 = b0[..., None]
    b0 = asarray(b0, "float")

    maximum(dwi, min_signal, dwi)
    maximum(b0, min_signal, b0)
    dwi /= b0

After Change

    out.clip(min_signal, out=out)
    b0 = out[..., where_b0].mean(-1)
    b0 = b0.reshape(b0.shape + (1,))
    out /= b0 
    return out

def gfa(samples):

Instances