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| author | Ezio Melotti <ezio.melotti@gmail.com> | 2011-03-16 10:34:31 (GMT) |
|---|---|---|
| committer | Ezio Melotti <ezio.melotti@gmail.com> | 2011-03-16 10:34:31 (GMT) |
| commit | c2077b0d9b5bf99768c6f396bf7ae6c41b682465 (patch) | |
| tree | 8a1dc9e646a99465f4f1c9961012d52ef183e653 /Lib/csv.py | |
| parent | 6905de14fef619767693f8bd91996bc7e99ca9fe (diff) | |
| download | cpython-c2077b0d9b5bf99768c6f396bf7ae6c41b682465.zip cpython-c2077b0d9b5bf99768c6f396bf7ae6c41b682465.tar.gz cpython-c2077b0d9b5bf99768c6f396bf7ae6c41b682465.tar.bz2 | |
#11565: Fix several typos. Patch by Piotr Kasprzyk.
Diffstat (limited to 'Lib/csv.py')
| -rw-r--r-- | Lib/csv.py | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -281,7 +281,7 @@ class Sniffer: an all or nothing approach, so we allow for small variations in this number. 1) build a table of the frequency of each character on every line. - 2) build a table of freqencies of this frequency (meta-frequency?), + 2) build a table of frequencies of this frequency (meta-frequency?), e.g. 'x occurred 5 times in 10 rows, 6 times in 1000 rows, 7 times in 2 rows' 3) use the mode of the meta-frequency to determine the /expected/ |