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<civodul>anyone tried doing a NumPy-style library for Guile? <civodul>it seems that the guts of it is essentially a set of methods so arithmetic operations work on arrays <civodul>well, there's more than just that, of course <civodul>that seems to be a different area, no? <lloda>(although it is what got me into Guile...) <lloda>libctl is an intrusive wrapper that hides Guile from the user. <lloda>it messes with your build system too. <lloda>numpy doesn't hide python, so it isn't like libctl. <lloda>the easiest number 1 step for numerics in Guile is having bindings to libraries. <lloda>half of GSL is itself wrappers, isn't it? <lloda>BLAS/LAPACK means you need to be able to manipulate arrays. A lot of what you need falls out of that. <civodul>yeah, well GSL implements BLAS too, but sequentially <civodul>lloda: you're doing numerics with Guile, aren't you? <lloda>I do some, but I also tend to drop down to C++ very quickly. <lloda>I have guile-ploy (array manipulation library, broken and incomplete) and guile-ffi-fftw (wrapper for FFTW) up in Gitorious. <lloda>I have C++ wrappers for BLAS/LAPACK that I can't publish, I'd love to have wrappers in the style of guile-ffi-fftw for that. <lloda>I get the GC warning 'Repeated allocation of very large block' fairly often, too <lloda>once I put a big matrix in a smob just to make sure I could control where and when it was live. <civodul>you get the warning when allocating big vectors/arrays? <lloda>guile-ploy is an experiment. some pieces are usable I think, and I do use them (from, reshape, cat), but it overall it's inconsistent, clumsy and slow. <lloda>the warning happens mostly when debugging. Like I call a backtrace and suddently there's a lot of allocation. <civodul>anyway, looks like a cool experiment <civodul>and it's an achievement to not use GOOPS for that ;-) <lloda>i wanted to ignore syntax issues, because I wasn't even sure of the behavior I wanted <lloda>and even though I said it wasn't good, it'd be great to have some users/critics ;) <wingo_>woo, i have type and range inference working ***linas__ is now known as linas