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author | Neal Norwitz <nnorwitz@gmail.com> | 2008-08-24 05:48:10 (GMT) |
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committer | Neal Norwitz <nnorwitz@gmail.com> | 2008-08-24 05:48:10 (GMT) |
commit | 2f99b241721f72c9f55617479709b589496c093d (patch) | |
tree | 46df4e6e2d10edb45724eb675519b8ae0c563998 /Lib/decimal.py | |
parent | c4b153542d63474431f2ba3b83d531cafb1748e9 (diff) | |
download | cpython-2f99b241721f72c9f55617479709b589496c093d.zip cpython-2f99b241721f72c9f55617479709b589496c093d.tar.gz cpython-2f99b241721f72c9f55617479709b589496c093d.tar.bz2 |
Merged revisions 66006 via svnmerge from
svn+ssh://pythondev@svn.python.org/python/trunk
TESTED=./python -E -tt ./Lib/test/regrtest.py -uall (both debug and opt modes)
........
r66006 | neal.norwitz | 2008-08-23 22:04:52 -0700 (Sat, 23 Aug 2008) | 25 lines
Fix:
* crashes on memory allocation failure found with failmalloc
* memory leaks found with valgrind
* compiler warnings in opt mode which would lead to invalid memory reads
* problem using wrong name in decimal module reported by pychecker
Update the valgrind suppressions file with new leaks that are small/one-time
leaks we don't care about (ie, they are too hard to fix).
TBR=barry
TESTED=./python -E -tt ./Lib/test/regrtest.py -uall (both debug and opt modes)
in opt mode:
valgrind -q --leak-check=yes --suppressions=Misc/valgrind-python.supp \
./python -E -tt ./Lib/test/regrtest.py -uall,-bsddb,-compiler \
-x test_logging test_ssl test_multiprocessing
valgrind -q --leak-check=yes --suppressions=Misc/valgrind-python.supp \
./python -E -tt ./Lib/test/regrtest.py test_multiprocessing
for i in `seq 1 4000` ; do
LD_PRELOAD=~/local/lib/libfailmalloc.so FAILMALLOC_INTERVAL=$i \
./python -c pass
done
At least some of these fixes should probably be backported to 2.5.
........
Diffstat (limited to 'Lib/decimal.py')
-rw-r--r-- | Lib/decimal.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/Lib/decimal.py b/Lib/decimal.py index 88cc5cd..7fb9c7b 100644 --- a/Lib/decimal.py +++ b/Lib/decimal.py @@ -5147,7 +5147,7 @@ def _dlog10(c, e, p): log_tenpower = f*M # exact else: log_d = 0 # error < 2.31 - log_tenpower = div_nearest(f, 10**-p) # error < 0.5 + log_tenpower = _div_nearest(f, 10**-p) # error < 0.5 return _div_nearest(log_tenpower+log_d, 100) |