I found it. Thank you.
I also tried the command listed above.
I am confused. Where is this "I]~~~~~~w"?
Is it a file? How did Graph load this?
In my program, my code looks like this:
i=12
for G in graphs.nauty_geng(str(i) + " -C"):
q = True
for j in range (0,i):
S = Sandpile(G,j)
if S.identity() != S.max_stable():
q = False
break
If I use geng to generate graphs, how should I load them in my for loop so
I can check with Sandpile?
On Thursday, March 21, 2019 at 8:46:56 AM UTC-7, Dima Pasechnik wrote:
>
> On Thu, Mar 21, 2019 at 3:03 PM Ai Bo <boai...@gmail.com <javascript:>>
> wrote:
>
> > is this "nauty26r7/geng" a program available?
>
> geng is installed in local/bin/ sub-directory of your Sage
> installation, as a part of Sage's standard package nauty.
>
> > Also, as Python is slow, any part of the nautygen can be written in
> other language, such as C/C++?
>
> it is written in C, so it's quite fast in this sense.
>
> >
> > Thanks,
> > Laura
> >
> > On Wednesday, March 20, 2019 at 11:48:38 PM UTC-7, Jori Mäntysalo (TAU)
> wrote:
> >>
> >> On Thu, 21 Mar 2019, Ai Bo wrote:
> >>
> >> > Is there a way to "random access"? For example, access the nth
> element
> >> > in the "generator", instead of one by one?
> >>
> >> Kind of. As a most time is propably spent by creating Python data
> >> structures for SageMath, you can use nautygen directly to generate huge
> >> number of graphs.
> >>
> >> As an example, it takes below 5 seconds to generate all biconnected
> graphs
> >> on 10 vertices, and I took third last one:
> >>
> >> $ nauty26r7/geng 10 -C | tail -3 | head -1
> >> >A /home/jm58660/lat-koe/nauty26r7/geng -Cd2D9 n=10 e=10-45
> >> >Z 9743542 graphs generated in 4.59 sec
> >> I]~~~~~~w
> >>
> >> and now
> >>
> >> sage: g = Graph('I]~~~~~~w', format='graph6')
> >> sage: g.is_biconnected()
> >> True
> >>
> >>
> >> --
> >> Jori Mäntysalo
> >>
> >> Tampereen yliopisto - Ihminen ratkaisee
> >
> > --
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