999d2ff75431496c25c7967b990e6b7fc09bb858,chaospy/spectral.py,,fit_quadrature,#Any#Any#Any#Any#Any#Any#,84

Before Change

    nodes = numpy.asfarray(nodes)
    weights = numpy.asfarray(weights)

    if callable(solves):
        solves = [solves(node) for node in nodes.T]
    solves = numpy.asfarray(solves)

    shape = solves.shape
    solves = solves.reshape(weights.size, int(solves.size/weights.size))

After Change

    coeffs = coeffs.reshape(len(coeffs), *shape)
    approx_model = numpoly.sum(orth*coeffs.T, -1).T

    choices = {0: approx_model,
               1: (approx_model, coeffs),
               2: (approx_model, coeffs, ovals)}
    return choices[retall]

Instances