Often people build mental models of performance that have little bearing on reality. Thanks for measuring!
On 3/2/07, Adam Olsen <[EMAIL PROTECTED]> wrote: > $ python2.5 -m timeit -r 10 -n 1000000 -s 'class Foo(Exception): pass' > 'try: raise Foo()' 'except: pass' > 1000000 loops, best of 10: 2.49 usec per loop > $ python2.5 -m timeit -r 10 -n 1000000 -s 'class Foo(Exception):' -s ' > def __init__(self): pass' 'try: raise Foo()' 'except: pass' > 1000000 loops, best of 10: 3.15 usec per loop > $ python2.5 -m timeit -r 10 -n 1000000 -s 'e = Exception()' 'try: > raise e' 'except: pass' > 1000000 loops, best of 10: 2.03 usec per loop > > We can get more than half of the benefit simply by using a default > __init__ rather than a python one. If you need custom attributes but > they're predefined you could subclass the exception and have them as > class attributes. Given that, is there really a need to pre-create > exceptions? > > -- > Adam Olsen, aka Rhamphoryncus > _______________________________________________ > Python-Dev mailing list > Python-Dev@python.org > http://mail.python.org/mailman/listinfo/python-dev > Unsubscribe: > http://mail.python.org/mailman/options/python-dev/guido%40python.org > -- --Guido van Rossum (home page: http://www.python.org/~guido/) _______________________________________________ Python-Dev mailing list Python-Dev@python.org http://mail.python.org/mailman/listinfo/python-dev Unsubscribe: http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
