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