2007/9/5, Christopher Barker <[EMAIL PROTECTED]>: > > Matthieu Brucher wrote: > > Blitz++ is more or less avandoned. It uses indexes than can be > > not-portable between 32bits platforms and 64bits ones. > > Oh well -- that seems remarkably short sited, but would I have done > better?
Well, it's too bad the mainteners used int instead of long or somthing like that, but at the time, 64bits platforms did not exist. > The Boost.Array is a fixed-size array, determined at compile-time, > > Ah, I had gotten the wrong impression -- I thought it was fixed at > construction time, not compile time. According to the doc, it's fixed at compile-time. > not interesting there, I suppose. > > I agree, I kind of wonder what the point is. In some case you might want them, but not very often, only to speed up computation. > Multiarrays are what you're looking for. > > Even if I just want 1-d? though I guess a 1-d multiarray is pretty simple. > > > Besides, it is not needed to build Boost to use them > > I've seen that -- it does look like all we'd need is the header. > > So, can one: > > - create a Multiarray from an existing data pointer? > > - get the data pointer for an existing Multiarray? > > I think that's what I'd need to make the numpy array <-> Multiarray > transition without any copying. > I have the same problem at my job, but I don't think SWIG will suit me, although I use it for simpler wrappers. Like Philip said, there are some trials, I hope someone (or I) will come up with a Python array <-> C++ array wrapper without copy. What you really need is that the multiarray must be able to use the data pointer, it's a special policy, and then you must be able to register a shared pointer to Python, that is if the original container use shared pointer. If the last part is not possible, you will need to create first a Python array and then make a view of it in C++, even for a result array. Matthieu
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