272f235fd8418eae67631d62051084eb363f781b,chaospy/quadrature/gauss_patterson.py,,quad_gauss_patterson,#Any#Any#,42

Before Change

    if len(lower) > 1:

        values = [quad_gauss_patterson(order[i], (domain[0][i], domain[1][i]))
                  for i in range(len(domain[0]))]

        abscissas = [_[0][0] for _ in values]
        weights = [_[1] for _ in values]

After Change

        weights /= numpy.sum(weights)
        return abscissas, weights

    domain = numpy.array(numpy.broadcast_arrays(*domain))
    lower, upper = numpy.atleast_2d(domain.T).T
    lower, upper, order = numpy.broadcast_arrays(lower, upper, order)

    if lower.size > 1:

Instances