I can create a ticket, but I would like first to be sure that is a real 
issue.

Frédéric

Le lundi 26 août 2019 11:29:44 UTC+2, Simon King a écrit :
>
> Hi all, 
>
> did someone open a ticket for that issue? 
>
> Best regards, 
> Simon 
>
>
> On 2019-08-24, Nils Bruin <nbr...@sfu.ca <javascript:>> wrote: 
> > It seems to be spending a lot of time in cython code, so "%crun" might 
> give 
> > the best idea. This is part of the profile obtained by running the 
> "copy" 
> > command 20 times: 
> > 
> >        0   0.0%   1.3%     2575  98.2% 
> > 
> __pyx_pw_4sage_6matrix_21matrix_integer_sparse_21Matrix_integer_sparse_5__init__
>  
>
> >       27   1.0%   2.4%     2271  86.6% 
> > __pyx_f_4sage_7modules_21vector_integer_sparse_mpz_vector_set_entry 
> >        0   0.0%   2.4%     1719  65.6% PyRun_FileExFlags 
> >       24   0.9%   3.3%     1290  49.2% 
> > __pyx_f_4sage_7modules_21vector_integer_sparse_allocate_mpz_vector 
> >      213   8.1%  11.4%     1201  45.8% sig_malloc (inline) 
> >        0   0.0%  11.4%     1193  45.5% PyRun_SimpleFileExFlags 
> >       27   1.0%  12.4%      957  36.5% __gmpz_init 
> >       38   1.4%  13.9%      930  35.5% 
> > __pyx_f_4sage_3ext_6memory_sage_sig_malloc 
> >      316  12.1%  25.9%      828  31.6% __GI___libc_malloc 
> >      163   6.2%  32.2%      751  28.7% sig_free (inline) 
> >        5   0.2%  32.4%      733  28.0% 
> > __pyx_f_4sage_3ext_6memory_sage_sig_free 
> >        0   0.0%  32.4%      705  26.9% Py_Main 
> >      323  12.3%  44.7%      512  19.5% _int_malloc 
> >      336  12.8%  57.5%      340  13.0% _int_free 
> >      334  12.7%  70.2%      334  12.7% sig_unblock (inline) 
> > 
> >  There's no obvious culprit to my eye. It looks like a lot of time is 
> spent 
> > in memory allocation and in setting of entries. Using a boolean matrix 
> > could be much more efficient. 
> > 
> > On Saturday, August 24, 2019 at 3:47:25 AM UTC-7, Frédéric Chapoton 
> wrote: 
> >> 
> >> Hello, 
> >> 
> >> With sage 8.9.b7 under py3, I get 
> >> 
> >> sage: P = posets.TamariLattice(8) 
> >> sage: H = P._hasse_diagram 
> >> sage: L = H.lequal_matrix() 
> >> sage: %time copy(L) 
> >> CPU times: user 2.71 s, sys: 4.01 ms, total: 2.71 s 
> >> Wall time: 2.71 s 
> >> 1430 x 1430 sparse matrix over Integer Ring (use the '.str()' method to 
> >> see the entries) 
> >> 
> >> And this seems to me to be a bit too much. But maybe I am wrong ? This 
> >> comes from here: 
> >> 
> >> sage: ms = L.parent() 
> >> sage: ec = ms.element_class 
> >> sage: d = L.dict() 
> >> sage: %timeit ec(ms, entries=d, coerce=False, copy=False) 
> >> 1 loop, best of 5: 2.63 s per loop 
> >> 
> >> Any idea on what is happening ? on how to improve the situation ? 
> >> 
> >> cheers, 
> >> Frédéric 
> >> 
> > 
>
>

-- 
You received this message because you are subscribed to the Google Groups 
"sage-devel" group.
To unsubscribe from this group and stop receiving emails from it, send an email 
to sage-devel+unsubscr...@googlegroups.com.
To view this discussion on the web visit 
https://groups.google.com/d/msgid/sage-devel/76162260-12ec-44a7-b0da-14d61e1ce552%40googlegroups.com.

Reply via email to