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author | Jarrod Millman <millman@berkeley.edu> | 2007-11-19 04:17:36 +0000 |
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committer | Jarrod Millman <millman@berkeley.edu> | 2007-11-19 04:17:36 +0000 |
commit | 5bb7ee688c5ac1aa5427e6e5b312d63b065f76d9 (patch) | |
tree | 0be0aa0a96846c95014c2185bd2dd7b4242c0f18 /benchmarks | |
parent | 6dbe4f3638977f9d260288aa480596c4a3138543 (diff) | |
download | python-numpy-5bb7ee688c5ac1aa5427e6e5b312d63b065f76d9.tar.gz python-numpy-5bb7ee688c5ac1aa5427e6e5b312d63b065f76d9.tar.bz2 python-numpy-5bb7ee688c5ac1aa5427e6e5b312d63b065f76d9.zip |
ran reindent.py to cleanup whitespaces
Diffstat (limited to 'benchmarks')
-rw-r--r-- | benchmarks/simpleindex.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/benchmarks/simpleindex.py b/benchmarks/simpleindex.py index 6b1a63d34..459861b05 100644 --- a/benchmarks/simpleindex.py +++ b/benchmarks/simpleindex.py @@ -2,7 +2,7 @@ import timeit # This is to show that NumPy is a poorer choice than nested Python lists # if you are writing nested for loops. # This is slower than Numeric was but Numeric was slower than Python lists were -# in the first place. +# in the first place. N = 30 code2 = r""" |