On 08/08/2007, Stefan van der Walt <[EMAIL PROTECTED]> wrote: > On Tue, Aug 07, 2007 at 01:33:24AM -0400, Anne Archibald wrote: > > Well, it can be done in Python: just allocate a too-big ndarray and > > take a slice that's the right shape and has the right alignment. But > > this sucks. > > Could you explain to me why is this such a bad idea?
Oh. Well, it's not *terrible*; it gets you an aligned array. But you have to allocate the original array as a 1D byte array (to allow for arbitrary realignments) and then align it, reshape it, and reinterpret it as a new type. Plus you're allocating an extra ndarray structure, which will live as long as the new array does; this not only wastes even more memory than the portable alignment solutions, it clogs up python's garbage collector. It's not outrageous, if you need aligned arrays *now*, on a released version of numpy, but numpy itself should do better. Anne _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion