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 <[email protected]>
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 <[email protected]>
>
>
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--
Snehal Madhukar Shekatkar
Pune
India
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