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I added a few punctuation marks, and fixed a typo in the levenshtein-distance docstring. #4

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I added a few punctuation marks, and fixed a typo in the levenshtein-distance docstring. #4

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8a6a955
Fixed typo in the levenshtein-distance docstring.
poppingtonic Nov 16, 2013
718c900
Fixed typo in the levenshtein-distance docstring.
poppingtonic Nov 16, 2013
0972ebe
Created doc folder, added paper referenced in levenshtein-distance do…
poppingtonic Nov 16, 2013
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14 changes: 7 additions & 7 deletions src/clj/clj_diff/core.clj
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Original file line number Diff line number Diff line change
Expand Up @@ -45,7 +45,7 @@

(defmulti ^{:arglists '([s edit-script])} patch
"Use the instructions in the edit script to transform the sequence s into
a new sequence. If the edit script was created by using diff on a and b then
a new sequence. If the edit script was created by using diff on a and b, then
patch will use the edit script to transform a into b.

(diff a b) -> x, (patch a x) -> b."
Expand Down Expand Up @@ -84,14 +84,14 @@
needed to transform one string into the other, with the allowable edit
operations being insertion, deletion and substitution of a single character.

This function works not only with strings but with any Clojure sequence.
This function works, not only with strings, but with any Clojure sequence.

Warning! Technically this function is estimating the Levenshtein distance
Warning! Technically, this function is estimating the Levenshtein distance
from a computed diff. Most of the time, it is the same as the real Levenshtein
distance but in same cases it may be larger. The reason for this is that
there may be multiple paths through an edit graph with the same edit
distance but with differing Levenshtein distance. A future improvement to
the diff algorithm whould be to find all paths and prefer the one with the
distance, but in same cases it may be larger. The reason for this is that
there may be multiple paths through an edit graph, with the same edit
distance, but with differing Levenshtein distance. A future improvement to
the diff algorithm would be to find all paths, and prefer the one with the
minimum Levenshtein distance."
([a b]
(levenshtein-distance (diff a b)))
Expand Down