2010/4/5 Luis M. González <luis...@gmail.com>: > This post gave me an idea: > http://groups.google.com/group/comp.lang.python/msg/5d75080707104b76 > > What if I write a simple decorator to figure out the types of every > function, and then we use it as a base for a simple method-jit > compiler for python? > > example: > > def typer(f): > def wrap(*args): > a = f.func_code.co_varnames > b = [type(i) for i in args] > return dict(zip(a,b)) > return wrap > > @typer > def spam(a, b, c=3, d=4): > pass > >>>> spam(8,'hello',9.9, 10) > {'a': <type 'int'>, 'c': <type 'float'>, 'b': <type 'str'>, 'd':<type > 'int'>} > > So by using this information, we record all the argument types used > the first time each function/method is executed, and then we generate > optimized code for them. > >From this point on, a guard should check if all arguments remain the > same and, if so, the optimized code is run. > Otherwise, just fall back to the interpreter. > > He! I have no idea how to implement it...
Guido's been lending out his time machine again: http://psyco.sourceforge.net/introduction.html Cheers, Chris -- http://blog.rebertia.com -- http://mail.python.org/mailman/listinfo/python-list
