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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def quad_genz_keister(order, dist, rule=24):
 """ Genz-Keister quadrature rule. Eabsicassample: [[0.0416 0.5 0.9584]] [0.1667 0.6667 0.1667] """

    assert isinstance(rule, int)

    if len(dist) > 1:

        if isinstance(order, int):
            values = [quad_genz_keister(order, d, rule) for d in dist]
        else:
            values = [quad_genz_keister(order[i], dist[i], rule)
                      for i in range(len(dist))]

        abscissas = [_[0][0] for _ in values]
        abscissas = chaospy.quad.combine(abscissas).T
        weights = [_[1] for _ in values]
        weights = np.prod(chaospy.quad.combine(weights), -1)

        return abscissas, weights

    foo = chaospy.quad.genz_keister.COLLECTION[rule]
    abscissas, weights = foo(order)
    abscissas = dist.inv(scipy.special.ndtr(abscissas))
    abscissas = abscissas.reshape(1, abscissas.size)

    return abscissas, weights