Hi, I have created the beginning of an easy-to-use Python wrapper for FLINT 2: http://fredrik-johansson.github.com/python-flint/
It currently provides numbers, (dense univariate) polynomials and (dense) matrices over Z/nZ (for word-size n), Z and Q. In [1]: import flint In [2]: A = flint.fmpz_poly(range(10000)); B = A + 1 In [3]: %timeit A * B 100 loops, best of 3: 4.68 ms per loop In [4]: from random import randint In [5]: M = flint.fmpz_mat(100,100,[randint(-3,3) for i in range(10000)]) In [6]: %timeit M.det() 100 loops, best of 3: 11.7 ms per loop I'm posting this here as there might be some interest in using the FLINT types as faster ground types in SymPy (assuming that this is technically possible with SymPy's current code structure). The fmpz and fmpq types don't offer any advantage over gmpy's mpz and mpq types (although the nmod type probably does), but the FLINT polynomials and matrices of course are massively faster than Python polynomials/matrices of such numbers. The code is in a very early state, and so far only a small set of the functionality in FLINT 2 is wrapped. But it could potentially be of interest to some people already. Fredrik -- You received this message because you are subscribed to the Google Groups "sympy" group. To post to this group, send email to [email protected]. To unsubscribe from this group, send email to [email protected]. For more options, visit this group at http://groups.google.com/group/sympy?hl=en.
