On Tue, Apr 26, 2011 at 4:55 PM, dhyams <[email protected]> wrote:

> To follow up on this too, it might be a better option, in your
> particular situation, to just install Python+numpy+scipy+matplotlib on
> the server, into some area that is writable by you; you should not
> need admin privileges to do so.
>

No but I have run into problems in the past with ATLAS, I'll try if I'm
totally sunk but past endeavors really make me skeptical.

>
> It's painful I know, but I don't think there will be any other way to
> run your code on the server that you are wanting to.
>
> Personally, I use Virtualbox, and have a SuSe 11.1 distribution that I
> build my app (via pyinstaller) on.  If you have the ability to do
> something similar, that would most likely work for you as well.
> Building in this way gets me an executable that is free from GLIBC ABI
> problems on all current platforms.
>

I noticed this when I searched from your earlier posts. I then found this
line in the FAQ: *Under Linux, I get runtime dynamic linker errors, related
to libc. What should I do?*
The executable that PyInstaller builds is not fully static, in that it still
depends on the system libc. Under Linux, the ABI of GLIBC is backward
compatible, but not forward compatible. So if you link against a newer GLIBC,
you can't run the resulting executable on an older system. The solution is
to compile the bootloader on the *oldest* system you have around, so that it
gets linked with the oldest version of GLIBC. Then, you can copy the
bootloader binaries (support/loader/*) into your development system and run
Build.py there.

Is there any chance you would be willing to send me your bootloader
binaries? Or am I completely misparsing that statement?
-Sloan

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