Hi,About last commit, I did some modification as I never tested to use a long as pythran input specification. In the code, we need to use mpz_class as a constructed type to have a correct behaviour.
Also, I fix another issue un the conversion from pylong to mpz_class. I tested the code below and get an error: #export pythran test(long) def test(a) for i in xrange(a): ...Because xrange doesn't support long as input parameter. It looks like python doesn't support either.
About profiling, I did some test using the binamial law with : 10 by 60. Result look good and we have almost the same ratio with others numbers. I just need to find some others bench
In : %timeit test1.test(10,60) 100000 loops, best of 3: 5.26 us per loop In : %timeit test2.test(10,60) 100000 loops, best of 3: 5.32 us per loop In : %timeit test3.test(10,60) 100000 loops, best of 3: 11.5 us per loop Finally, we have another error now: if we define a long num : a = 1111111111111L and add a float: b = a +2.5 the result is b = 1111111111113L Pythran doesn't care about the value after the point.Issue comme from Assignable specification but we can't do this in another way as gmp have some limitation about Templates :
Have a good week end.