Hello Tiago,

Thanks for the reply. I have included all the commands in the previous email. My degree_sampler is a function:


def deg_samp(k0 = 3):
     return np.random.poisson(k0)

Then I use it in two different (and in my opinion, equivalent) ways:

G = gt.random_graph(500, lambda : deg_samp(3), directed = False)
G = gt.random_graph(500, deg_samp, directed = False)

I expect both these graphs to be similar. However, I find that the second one is extremely dense and its average degree far exceeds 3. I am quite confused about this.

Thank you
Snehal

On Mon, Feb 13, 2017 at 10:11 PM, Tiago de Paula Peixoto <tiago@skewed.de> wrote:
On 13.02.2017 16:07, Snehal Shekatkar wrote:
> What am I missing exactly?

Impossible to say, without a minimal, complete and self-contained example.

--
Tiago de Paula Peixoto <tiago@skewed.de>


_______________________________________________
graph-tool mailing list
graph-tool@skewed.de
https://lists.skewed.de/mailman/listinfo/graph-tool




--




Snehal Madhukar Shekatkar
Pune
India