On Thu, Feb 3, 2011 at 12:10 AM, Amaury Forgeot d'Arc <amaur...@gmail.com> wrote: > 2011/2/3 Fredrik Johansson <fredrik.johans...@gmail.com>: >> Indeed (that user was me, and it was nice to see the problem fixed so >> quickly!). There is one incompatibility left between CPython and PyPy >> that breaks some functions in mpmath. In CPython, round() and >> functions in the math module accept (and convert) inputs of any custom >> type with a __float__ method, whereas they trigger a TypeError in PyPy >> (1.4). > > It seems corrected today; the script below indeed fails with pypy-1.4.
Ah, that's nice. Does round() work as well? >> On win32, PyPy 1.4 is about 40% slower than CPython 2.6 for running >> the entire set of tests. This is probably mostly due to the slowness >> of longs in PyPy. However, much of the regular floating point code >> seems to be slower in PyPy as well. > > The standard operations, or the math module? > It seems that every function in the math module releases the GIL. > This may explain some slowness. I have only looked at some quick macro level timings. Generally a lot of overhead for function calls and type checking is involved (although I would hope that PyPy can kill precisely some of that eventually). Fredrik _______________________________________________ pypy-dev@codespeak.net http://codespeak.net/mailman/listinfo/pypy-dev
