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author | Thomas Wouters <thomas@python.org> | 2006-04-21 10:40:58 (GMT) |
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committer | Thomas Wouters <thomas@python.org> | 2006-04-21 10:40:58 (GMT) |
commit | 49fd7fa4431da299196d74087df4a04f99f9c46f (patch) | |
tree | 35ace5fe78d3d52c7a9ab356ab9f6dbf8d4b71f4 /Tools/pybench/Tuples.py | |
parent | 9ada3d6e29d5165dadacbe6be07bcd35cfbef59d (diff) | |
download | cpython-49fd7fa4431da299196d74087df4a04f99f9c46f.zip cpython-49fd7fa4431da299196d74087df4a04f99f9c46f.tar.gz cpython-49fd7fa4431da299196d74087df4a04f99f9c46f.tar.bz2 |
Merge p3yk branch with the trunk up to revision 45595. This breaks a fair
number of tests, all because of the codecs/_multibytecodecs issue described
here (it's not a Py3K issue, just something Py3K discovers):
http://mail.python.org/pipermail/python-dev/2006-April/064051.html
Hye-Shik Chang promised to look for a fix, so no need to fix it here. The
tests that are expected to break are:
test_codecencodings_cn
test_codecencodings_hk
test_codecencodings_jp
test_codecencodings_kr
test_codecencodings_tw
test_codecs
test_multibytecodec
This merge fixes an actual test failure (test_weakref) in this branch,
though, so I believe merging is the right thing to do anyway.
Diffstat (limited to 'Tools/pybench/Tuples.py')
-rw-r--r-- | Tools/pybench/Tuples.py | 365 |
1 files changed, 365 insertions, 0 deletions
diff --git a/Tools/pybench/Tuples.py b/Tools/pybench/Tuples.py new file mode 100644 index 0000000..7854def --- /dev/null +++ b/Tools/pybench/Tuples.py @@ -0,0 +1,365 @@ +from pybench import Test + +class TupleSlicing(Test): + + version = 0.31 + operations = 3 * 25 * 10 * 7 + rounds = 400 + + def test(self): + + r = range(25) + + for i in xrange(self.rounds): + + t = tuple(range(100)) + + for j in r: + + m = t[50:] + m = t[:25] + m = t[50:55] + m = t[:-1] + m = t[1:] + m = t[-10:] + m = t[:10] + + m = t[50:] + m = t[:25] + m = t[50:55] + m = t[:-1] + m = t[1:] + m = t[-10:] + m = t[:10] + + m = t[50:] + m = t[:25] + m = t[50:55] + m = t[:-1] + m = t[1:] + m = t[-10:] + m = t[:10] + + m = t[50:] + m = t[:25] + m = t[50:55] + m = t[:-1] + m = t[1:] + m = t[-10:] + m = t[:10] + + m = t[50:] + m = t[:25] + m = t[50:55] + m = t[:-1] + m = t[1:] + m = t[-10:] + m = t[:10] + + m = t[50:] + m = t[:25] + m = t[50:55] + m = t[:-1] + m = t[1:] + m = t[-10:] + m = t[:10] + + m = t[50:] + m = t[:25] + m = t[50:55] + m = t[:-1] + m = t[1:] + m = t[-10:] + m = t[:10] + + m = t[50:] + m = t[:25] + m = t[50:55] + m = t[:-1] + m = t[1:] + m = t[-10:] + m = t[:10] + + m = t[50:] + m = t[:25] + m = t[50:55] + m = t[:-1] + m = t[1:] + m = t[-10:] + m = t[:10] + + m = t[50:] + m = t[:25] + m = t[50:55] + m = t[:-1] + m = t[1:] + m = t[-10:] + m = t[:10] + + m = t[50:] + m = t[:25] + m = t[50:55] + m = t[:-1] + m = t[1:] + m = t[-10:] + m = t[:10] + + m = t[50:] + m = t[:25] + m = t[50:55] + m = t[:-1] + m = t[1:] + m = t[-10:] + m = t[:10] + + m = t[50:] + m = t[:25] + m = t[50:55] + m = t[:-1] + m = t[1:] + m = t[-10:] + m = t[:10] + + m = t[50:] + m = t[:25] + m = t[50:55] + m = t[:-1] + m = t[1:] + m = t[-10:] + m = t[:10] + + m = t[50:] + m = t[:25] + m = t[50:55] + m = t[:-1] + m = t[1:] + m = t[-10:] + m = t[:10] + + m = t[50:] + m = t[:25] + m = t[50:55] + m = t[:-1] + m = t[1:] + m = t[-10:] + m = t[:10] + + m = t[50:] + m = t[:25] + m = t[50:55] + m = t[:-1] + m = t[1:] + m = t[-10:] + m = t[:10] + + m = t[50:] + m = t[:25] + m = t[50:55] + m = t[:-1] + m = t[1:] + m = t[-10:] + m = t[:10] + + m = t[50:] + m = t[:25] + m = t[50:55] + m = t[:-1] + m = t[1:] + m = t[-10:] + m = t[:10] + + m = t[50:] + m = t[:25] + m = t[50:55] + m = t[:-1] + m = t[1:] + m = t[-10:] + m = t[:10] + + m = t[50:] + m = t[:25] + m = t[50:55] + m = t[:-1] + m = t[1:] + m = t[-10:] + m = t[:10] + + m = t[50:] + m = t[:25] + m = t[50:55] + m = t[:-1] + m = t[1:] + m = t[-10:] + m = t[:10] + + m = t[50:] + m = t[:25] + m = t[50:55] + m = t[:-1] + m = t[1:] + m = t[-10:] + m = t[:10] + + m = t[50:] + m = t[:25] + m = t[50:55] + m = t[:-1] + m = t[1:] + m = t[-10:] + m = t[:10] + + m = t[50:] + m = t[:25] + m = t[50:55] + m = t[:-1] + m = t[1:] + m = t[-10:] + m = t[:10] + + m = t[50:] + m = t[:25] + m = t[50:55] + m = t[:-1] + m = t[1:] + m = t[-10:] + m = t[:10] + + m = t[50:] + m = t[:25] + m = t[50:55] + m = t[:-1] + m = t[1:] + m = t[-10:] + m = t[:10] + + m = t[50:] + m = t[:25] + m = t[50:55] + m = t[:-1] + m = t[1:] + m = t[-10:] + m = t[:10] + + m = t[50:] + m = t[:25] + m = t[50:55] + m = t[:-1] + m = t[1:] + m = t[-10:] + m = t[:10] + + m = t[50:] + m = t[:25] + m = t[50:55] + m = t[:-1] + m = t[1:] + m = t[-10:] + m = t[:10] + + def calibrate(self): + + r = range(25) + + for i in xrange(self.rounds): + + t = tuple(range(100)) + + for j in r: + + pass + +class SmallTuples(Test): + + version = 0.3 + operations = 5*(1 + 3 + 6 + 2) + rounds = 80000 + + def test(self): + + for i in xrange(self.rounds): + + t = (1,2,3,4,5,6) + + a,b,c,d,e,f = t + a,b,c,d,e,f = t + a,b,c,d,e,f = t + + a,b,c = t[:3] + a,b,c = t[:3] + a,b,c = t[:3] + a,b,c = t[:3] + a,b,c = t[:3] + a,b,c = t[:3] + + l = list(t) + t = tuple(l) + + t = (1,2,3,4,5,6) + + a,b,c,d,e,f = t + a,b,c,d,e,f = t + a,b,c,d,e,f = t + + a,b,c = t[:3] + a,b,c = t[:3] + a,b,c = t[:3] + a,b,c = t[:3] + a,b,c = t[:3] + a,b,c = t[:3] + + l = list(t) + t = tuple(l) + + t = (1,2,3,4,5,6) + + a,b,c,d,e,f = t + a,b,c,d,e,f = t + a,b,c,d,e,f = t + + a,b,c = t[:3] + a,b,c = t[:3] + a,b,c = t[:3] + a,b,c = t[:3] + a,b,c = t[:3] + a,b,c = t[:3] + + l = list(t) + t = tuple(l) + + t = (1,2,3,4,5,6) + + a,b,c,d,e,f = t + a,b,c,d,e,f = t + a,b,c,d,e,f = t + + a,b,c = t[:3] + a,b,c = t[:3] + a,b,c = t[:3] + a,b,c = t[:3] + a,b,c = t[:3] + a,b,c = t[:3] + + l = list(t) + t = tuple(l) + + t = (1,2,3,4,5,6) + + a,b,c,d,e,f = t + a,b,c,d,e,f = t + a,b,c,d,e,f = t + + a,b,c = t[:3] + a,b,c = t[:3] + a,b,c = t[:3] + a,b,c = t[:3] + a,b,c = t[:3] + a,b,c = t[:3] + + l = list(t) + t = tuple(l) + + def calibrate(self): + + for i in xrange(self.rounds): + pass + |