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| author | Brett Cannon <brett@python.org> | 2011-03-17 11:16:38 -0700 |
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| committer | Brett Cannon <brett@python.org> | 2011-03-17 11:16:38 -0700 |
| commit | eb8cee83833830630f9d7388bd09d1fcb638b1a2 (patch) | |
| tree | 651105352b4f7b17a4e747886562546082e9aaee /Lib/csv.py | |
| parent | ecc2db515202456a67e9702ed94ce19fe5b4711f (diff) | |
| parent | e9ff2ef20488eb3d1e8bba04516939585f35a148 (diff) | |
| download | cpython-git-eb8cee83833830630f9d7388bd09d1fcb638b1a2.tar.gz | |
merge
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/ |