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You are right, #2321 made the numbers a bit tighter:
With a small string:
./python -m timeit -s "s=open('INTBENCH', 'r').read()" "s.split()"
-> Unpatched py3k: 23.1 usec per loop
-> Freelist patch: 21.3 usec per loop
-> PyVarObject patch: 20.5 usec per loop
With a medium-sized string:
./python -m timeit -s "s=open('LICENSE', 'r').read()" "s.split()"
-> Unpatched py3k: 406 usec per loop
-> Freelist patch: 353 usec per loop
-> PyVarObject patch: 314 usec per loop
With a long string:
./python -m timeit -s "s=open('Misc/HISTORY', 'r').read()" "s.split()"
-> Unpatched py3k: 22.7 msec per loop
-> Freelist patch: 24 msec per loop
-> PyVarObject patch: 20.6 msec per loop
stringbench3k:
-> Unpatched py3k: 266 seconds
-> Freelist patch: 264 seconds
-> PyVarObject patch: 249 seconds
Regarding your benchmarking suggestion, this would certainly be an
interesting thing to do, but I fear it is also much more than I'm
willing to do...
I'm going to post the updated patches.