diff --git a/Doc/lib/libdifflib.tex b/Doc/lib/libdifflib.tex index 61f6cb56f8a..128552bc1e0 100644 --- a/Doc/lib/libdifflib.tex +++ b/Doc/lib/libdifflib.tex @@ -53,8 +53,8 @@ \strong{Timing:} The basic Ratcliff-Obershelp algorithm is cubic time in the worst case and quadratic time in the expected case. \class{SequenceMatcher} is quadratic time for the worst case and has - expected-case behavior dependent on how many elements the sequences - have in common; best case time (no elements in common) is linear. + expected-case behavior dependent in a complicated way on how many + elements the sequences have in common; best case time is linear. \end{classdesc} @@ -68,6 +68,9 @@ \code{None} is equivalent to passing \code{lambda x: 0}, i.e.\ no elements are ignored. For example, pass +% BUG: the HTML generated for this is +% BUG: lambda x: x in " \\t" +% BUG: i.e. it displays two backslashes. \begin{verbatim} lambda x: x in " \\t" \end{verbatim} @@ -138,7 +141,7 @@ of the other sequences. junk happens to be adjacent to an interesting match. Here's the same example as before, but considering blanks to be junk. - That prevents \code{' abcd'} from matching the \code{ abcd} at the + That prevents \code{' abcd'} from matching the \code{' abcd'} at the tail end of the second sequence directly. Instead only the \code{'abcd'} can match, and matches the leftmost \code{'abcd'} in the second sequence: @@ -217,8 +220,8 @@ replace a[3:4] (x) b[2:3] (y) range [0, 1]. Where T is the total number of elements in both sequences, and M is - the number of matches, this is 2,0*M / T. Note that this is \code{1} - if the sequences are identical, and \code{0} if they have nothing in + the number of matches, this is 2.0*M / T. Note that this is \code{1.} + if the sequences are identical, and \code{0.} if they have nothing in common. This is expensive to compute if \method{get_matching_blocks()} or @@ -242,8 +245,10 @@ replace a[3:4] (x) b[2:3] (y) \method{ratio()} or \method{quick_ratio()}. \end{methoddesc} -The three methods that return the ratio of differences to similarities -can give different results due to differing levels of approximation: +The three methods that return the ratio of matching to total characters +can give different results due to differing levels of approximation, +although \method{quick_ratio()} and \method{real_quick_ratio()} are always +at least as large as \method{ratio()}: \begin{verbatim} >>> s = SequenceMatcher(None, "abcd", "bcde") diff --git a/Lib/difflib.py b/Lib/difflib.py index 759d33f123f..deb73616a82 100644 --- a/Lib/difflib.py +++ b/Lib/difflib.py @@ -92,9 +92,9 @@ simple code building on SequenceMatcher can be used to do useful work. Timing: Basic R-O is cubic time worst case and quadratic time expected -case. SequenceMatcher is quadratic time worst case and has expected-case -behavior dependent on how many elements the sequences have in common; best -case time (no elements in common) is linear. +case. SequenceMatcher is quadratic time for the worst case and has +expected-case behavior dependent in a complicated way on how many +elements the sequences have in common; best case time is linear. SequenceMatcher methods: