On Aug 22, 2012, at 9:28 AM, David Cournapeau wrote: > On Wed, Aug 22, 2012 at 3:25 PM, Travis Oliphant <tra...@continuum.io> wrote: >> >> On Aug 22, 2012, at 3:59 AM, Ralf Gommers wrote: >> >> >> >> On Tue, Aug 21, 2012 at 12:51 AM, Travis Oliphant <tra...@continuum.io> >> wrote: >>> >>> I'm actually not sure, why. I think the issue is making sure that the >>> release manager can actually "build" NumPy without having to buy a >>> particular compiler. >> >> >> That would help, yes. MS Express doesn't work under Wine last time I checked >> by the way. >> >> However, the issue is more than just one license. There's a large number of >> packages that depend on numpy and provide binaries. If they can't make those >> compatible with numpy ones, that's a problem. Users will first install numpy >> 64-bit, and then later find out that part of the scientific Python stack >> isn't available to them anymore. >> >> >> >> As far as I understand, you don't *have* to build all downstream >> dependencies with the same compiler that NumPy was built with unless your >> extension relies on the way C-functions pass structures on the stack (not >> pointers to them, but structures as a whole) or if it relies on the >> representation of FILE*. At one time all structures were passed as >> pointers specifically for this reason. The FILE* situation is a problem, >> but most extensions don't use NumPy C-API calls that have a FILE* argument. > > It is much more pervasive than that, unfortunately. And for fortran, > it is much worse, because if we build scipy or numpy with Intel > Fortran, I think we pretty much force everyone to use intel fortran > for *any* binary on top of them.
Can you be more specific? Does the calling convention for C-routines created with Intel Fortran differ so much? -Travis > > David > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
