Re: [pypy-dev] Excellent work!

2012-03-10 Thread Armin Rigo
Hi Bent, On Sat, Mar 10, 2012 at 11:48, Bent Phillipsen wrote: > Thank you for making pypy available. It is really excellent work! Thanks! :-) > By the way: I have observed, that the assert statement is not fully > implemented in pypy (which possibly is well known). In cpython with the -O > o

Re: [pypy-dev] Excellent work!

2012-03-10 Thread Benjamin Peterson
2012/3/10 Bent Phillipsen : > These results are really impressive. With pypy numerical analysis can be > performed efficiently in pure python using lists as arrays (i.e. without > using numpy). That's great to hear! > > By the way: I have observed, that the assert statement is not fully > imple

[pypy-dev] Excellent work!

2012-03-10 Thread Bent Phillipsen
Thank you for making pypy available. It is really excellent work! I tried pypy on some numerical analysis algorithms and compered to fortran and cpython: On a loop over romberg-integrations I found pypy 2.3 times faster than gfortran without optimization and 2.1 times faster than gfortran with