def ylogydu(y, u):
    """
    tool to give desired output for the limit as y -> 0, which is 0

    Parameters
    ----------
    y : array-like of len(n)
    u : array-like of len(n)

    Returns
    -------
    np.array len(n)
    """
    mask = (np.atleast_1d(y)!=0.)
    out = np.zeros_like(u)
    out[mask] = y[mask] * np.log(y[mask] / u[mask])
    return out
tool to give desired output for the limit as y -> 0, which is 0

    Parameters
    ----------
    y : array-like of len(n)
    u : array-like of len(n)

    Returns
    -------
    np.array len(n)