On 01/07/2014 04:48 PM, Gerry Steele wrote:
> Thanks Tiago
>
> I assumed for some reason that those paths would be taken care of by 
> --with-boost
>
> However after building numpy and then attempting to build scipy and finding 
> it needs BLAS which is written in fortran I have stopped trying to get 
> graph-tool to work. There are far too many dependencies for it to be a 
> reasonable product for my use case. I'll revert to boost-graph directly in 
> c++ for my needs.

That's fine. Package dependencies is a problem which best solved by
computers, not humans.

Scipy is a standard framework for doing scientific analysis with
python. It is available in any distribution I known of.

Essentially the problem here is that you are trying to do by hand what
your operating system does for free, and what your system administrator
is paid to do (I hope). Unfortunately, this seems like a rather common
scenario... Nevertheless, the real problem is that you are stuck with an
ancient operating system, with no sysadmin rights. It is not a problem
with the "product", as I see it.

The single most frequent complain I hear about graph-tool is that it is
difficult to install because of the dependencies. The dependencies are
all standard software, available in all systems with some form of
package management. I even provide pre-compiled packages for some of
these systems. What else should I do?

From my perspective, it doesn't make any sense do drop an essential and
very useful thing like interoperability with scipy/numpy because people
can't install it by hand...

Best,
Tiago

-- 
Tiago de Paula Peixoto <[email protected]>

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