Hi KaShining, Yes, the issue then is that pure Python equivalents are often slower than their C version --- for example, this red_black_tree_mod file is huge for the job (more than 1000 lines), written in a Java-ish style with tons of small overridden methods, but full of properties, recursive function invocations, and so on. Getting 10 times slower than the C version is not good, but I guess that the C version was more optimized. Often we can hope to get at most a few times slower.
PyPy is not faster at everything. Usually there is no way it can be faster than a program that exercices only a CPython C extension module. In some cases like this one, the solutions you have with PyPy are all a lot slower --- both some pure Python version, and the cpyext version. The pure Python version could be rewritten with performance-on-PyPy in mind (just like the C version was written with performance-on-CPython in mind). Note that the point of red_black_tree_mod is very unclear to me. It seems to replace plain dicts. Why can't you use plain dicts? A bientôt, Armin. _______________________________________________ pypy-dev mailing list pypy-dev@python.org https://mail.python.org/mailman/listinfo/pypy-dev
