040a5b0f6ae8778541898c6e6824a4cdba47f0f8,scipy/optimize/_lsq_dogbox.py,,dogbox,#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,101

Before Change

            // Where is norm(..., axis=0) in numpy 1.6.2?
            J_norm = np.sum(J**2, axis=0)**0.5
            with np.errstate(divide="ignore"):
                scale = np.minimum(scale, 1 / J_norm)

        g = J.T.dot(f)

        active_set = on_bound * g < 0

After Change

    termination_status = None
    while nfev < max_nfev:
        if scaling == "jac":
            scale = np.maximum(scale, np.sum(J**2, axis=0)**0.5)

        g = J.T.dot(f)

        active_set = on_bound * g < 0

Instances