Multiplies control points by the weights to generate weighted control points.

    This function is dimension agnostic, i.e. control points can be in any dimension but weights should be 1D.

    The ``weights`` function parameter can be set to None to let the function generate a weights vector composed of
    1.0 values. This feature can be used to convert B-Spline basis to NURBS basis.

    :param ctrlpts: unweighted control points
    :type ctrlpts: list, tuple
    :param weights: weights vector; if set to None, a weights vector of 1.0s will be automatically generated
    :type weights: list, tuple or None
    :return: weighted control points
    :rtype: list

def combine_ctrlpts_weights(ctrlpts, weights=None):
    """ Multiplies control points by the weights to generate weighted control points.

    This function is dimension agnostic, i.e. control points can be in any dimension but weights should be 1D.

    The ``weights`` function parameter can be set to None to let the function generate a weights vector composed of
    1.0 values. This feature can be used to convert B-Spline basis to NURBS basis.

    :param ctrlpts: unweighted control points
    :type ctrlpts: list, tuple
    :param weights: weights vector; if set to None, a weights vector of 1.0s will be automatically generated
    :type weights: list, tuple or None
    :return: weighted control points
    :rtype: list
    """
    if weights is None:
        weights = [1.0 for _ in range(len(ctrlpts))]

    ctrlptsw = []
    for pt, w in zip(ctrlpts, weights):
        temp = [float(c * w) for c in pt]
        temp.append(float(w))
        ctrlptsw.append(temp)

    return ctrlptsw