Error while executing net

[WinterHolidays]

While using function newlvq in net, I encountered the following error:
line 184, in newlvq
layer_out.np['w'][n][st:i].fill(1.0)
TypeError: slice indices must be integers or None or have an index method

on further investigation, I found that this relates to the solution #481.

The array produced by
line 181
inx = np.floor(cn0 * pc.cumsum())
needs to be changed from float64 to integers to be used as the i inputs in line 184.

while I would not call this an elegant solution, it does resolve the type issue:

def newlvq(minmax, cn0, pc):

pc = np.asfarray(pc)
assert sum(pc) == 1
ci = len(minmax)
cn1 = len(pc)
assert cn0 > cn1

layer_inp = layer.Competitive(ci, cn0)
layer_out = layer.Perceptron(cn0, cn1, trans.PureLin())

layer_out.initf = None
layer_out.np['b'].fill(0.0)
layer_out.np['w'].fill(0.0)
inx = np.floor(cn0 * pc.cumsum())

Modification begins

**v = 0
new = []
for i in inx:
    new.append(int(i))
    v += 1**
for n, i in enumerate(**new**):
    st = 0 if n == 0 else **new**[n - 1]
    layer_out.np['w'][n:st:i].fill(1.0)

End of modification

net = Net(minmax, cn1, [layer_inp, layer_out],
                        [[-1], [0], [1]], train.train_lvq, error.MSE())

return net

Thanks,
Jonathan