[GRASS-user] v.rast.stats error: "Unable to seek"
Markus Neteler
neteler at osgeo.org
Tue May 18 13:56:57 PDT 2021
Hi Luís,
Did you get any insights?
Best,
Markus
On Fri, Feb 5, 2021 at 4:17 PM Luís Moreira de Sousa
<luis.de.sousa at protonmail.ch> wrote:
>
> Hi Maris,
>
> thank you for the details. I can try compiling with the flag you suggest, but I need a bit more time. Will let you know if I succeed.
>
> Regards.
>
>
> --
> Luís Moreira de Sousa
> Pastoor Bruggemanlaan 21
> 6861 GR Oosterbeek
> The Netherlands
> Phone: +31 628 544 755
> Email: luis.de.sousa at protonmail.ch
> Mastodon: @luis_de_sousa at mastodon.social
> URL: https://ldesousa.codeberg.page
>
> Sent with ProtonMail Secure Email.
>
> ‐‐‐‐‐‐‐ Original Message ‐‐‐‐‐‐‐
> On Thursday, February 4, 2021 10:21 AM, Maris Nartiss <maris.gis at gmail.com> wrote:
>
> > Don't want to bring bad news, but it looks more like an offset
> > overflow. You will not catch it with valgrind. Although it might catch
> > a bug leading to offset value explosion, most likely the main cause is
> > just code written for handling of small/medium datasets and not
> > large/huge ones (=imperfect logic => can't catch that with valgrind).
> >
> > My suggestion: recompile GRASS with -ftrapv. If it is an integer
> > overflow, at least it will become clearly obvious.
> > https://gcc.gnu.org/onlinedocs/gcc/Code-Gen-Options.html
> >
> > The bad thing is G_fseek calling G_fatal_error without knowing actual
> > file name (lets put pipes aside) and thus it is impossible to tell
> > where exactly the error originated from the error message alone.
> > Better would be to bubble up error to main program and let it deal
> > with it in a clean way. Of course, as GRASS is designed around current
> > idioms (handling failure is responsibility of a library making module
> > development really easy), this will not happen in a foreseeable
> > future.
> >
> > One thing you could do – drasticly reduce size of computational region.
> > Māris.
>
>
--
Markus Neteler, PhD
https://www.mundialis.de - free data with free software
https://grass.osgeo.org
https://courses.neteler.org/blog
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