How to use the uncertainties.umath.asin function in uncertainties

The distance from the front wheel center to the handlebar reference
        center perpendicular to the steer axis. The positive sense is if the
        handlebar reference point is more forward than the front wheel center
        relative to the steer axis normal.
    l2 : float
       The distance from the front wheel center to the handlebar reference
       center parallel to the steer axis. The positive sense is if the
       handlebar reference point is above the front wheel center with reference
       to the steer axis.

    '''
    r5 = d5 / 2.
    r6 = d6 / 2.
    l1 = h7 - h6 + r5 - r6
    l0 = l - r5 - r6
    gamma = umath.asin(l1 / l0)
    l2 = l0 * umath.cos(gamma)
    return l1, l2

The distance from the front wheel center to the handlebar reference
        center perpendicular to the steer axis. The positive sense is if the
        handlebar reference point is more forward than the front wheel center
        relative to the steer axis normal.
    l2 : float
       The distance from the front wheel center to the handlebar reference
       center parallel to the steer axis. The positive sense is if the
       handlebar reference point is above the front wheel center with reference
       to the steer axis.

    '''
    r5 = d5 / 2.
    r6 = d6 / 2.
    l1 = h7 - h6 + r5 - r6
    l0 = l - r5 - r6
    gamma = umath.asin(l1 / l0)
    l2 = l0 * umath.cos(gamma)
    return l1, l2

s += "Companion mass min, median (assuming Mpsr = 1.4 Msun) = {:.4f}, {:.4f} Msun\n".format(
                        mcmin, mcmed
                    )

                if hasattr(self.model, "SINI"):
                    try:
                        # Put this in a try in case SINI is UNSET or an illegal value
                        if not self.model.SINI.frozen:
                            si = ufloat(
                                self.model.SINI.quantity.value,
                                self.model.SINI.uncertainty.value,
                            )
                            s += "From SINI in model:\n"
                            s += "    cos(i) = {:SP}\n".format(um.sqrt(1 - si ** 2))
                            s += "    i = {:SP} deg\n".format(
                                um.asin(si) * 180.0 / np.pi
                            )

                        psrmass = pint.utils.pulsar_mass(
                            self.model.PB.quantity,
                            self.model.A1.quantity,
                            self.model.M2.quantity,
                            np.arcsin(self.model.SINI.quantity),
                        )
                        s += "Pulsar mass (Shapiro Delay) = {}".format(psrmass)
                    except:
                        pass

        return s