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| author | Ezio Melotti <ezio.melotti@gmail.com> | 2011-03-16 11:35:38 +0200 |
|---|---|---|
| committer | Ezio Melotti <ezio.melotti@gmail.com> | 2011-03-16 11:35:38 +0200 |
| commit | 3b3499ba69341a49fc842ce0d4a2f66fcb249a04 (patch) | |
| tree | dd97578d333a72ac825c0e7ad64e4367d8dfe248 /Lib/csv.py | |
| parent | cc4a4842643d6415ca4a449e9d0557cfb029715a (diff) | |
| parent | 13925008dc11f2a235627dc8c0440c0ce99171d9 (diff) | |
| download | cpython-git-3b3499ba69341a49fc842ce0d4a2f66fcb249a04.tar.gz | |
#11565: Merge with 3.1.
Diffstat (limited to 'Lib/csv.py')
| -rw-r--r-- | Lib/csv.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/Lib/csv.py b/Lib/csv.py index e0f47e8b5d..8dfc77e310 100644 --- a/Lib/csv.py +++ b/Lib/csv.py @@ -284,7 +284,7 @@ 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/ |