Stefan Krah <stefan-use...@bytereef.org> added the comment: On an older Celeron platform the differences are up to 7%, but again, the number that is converted has a far greater impact:
None: ===== >>> s = "str(38210.0)" >>> t = timeit.Timer(stmt=s) >>> >>> t.timeit(number=1000000) 3.277189016342163 >>> t.timeit(number=1000000) 3.293405055999756 >>> t.timeit(number=1000000) 3.302845001220703 >>> >>> s = "str(1.31232223e300)" >>> t = timeit.Timer(stmt=s) >>> >>> t.timeit(number=1000000) 5.678447008132935 >>> t.timeit(number=1000000) 5.695156097412109 >>> t.timeit(number=1000000) 5.690100193023682 fnstcw only: ============ >>> s = "str(38210.0)" >>> t = timeit.Timer(stmt=s) >>> >>> t.timeit(number=1000000) 3.3676700592041016 >>> t.timeit(number=1000000) 3.339860200881958 >>> t.timeit(number=1000000) 3.365180015563965 >>> >>> s = "str(1.31232223e300)" >>> t = timeit.Timer(stmt=s) >>> >>> t.timeit(number=1000000) 5.869584798812866 >>> t.timeit(number=1000000) 5.8620688915252686 >>> t.timeit(number=1000000) 5.882143020629883 >>> fnstcw/fldcw: ============= >>> s = "str(38210.0)" >>> t = timeit.Timer(stmt=s) >>> >>> t.timeit(number=1000000) 3.5034677982330322 >>> t.timeit(number=1000000) 3.496767044067383 >>> t.timeit(number=1000000) 3.5118331909179688 >>> >>> s = "str(1.31232223e300)" >>> t = timeit.Timer(stmt=s) >>> >>> t.timeit(number=1000000) 5.808370113372803 >>> t.timeit(number=1000000) 5.80784010887146 >>> t.timeit(number=1000000) 5.837070941925049 >>> ---------- _______________________________________ Python tracker <rep...@bugs.python.org> <http://bugs.python.org/issue9980> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: http://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
