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1 : //===-- llvm/ADT/edit_distance.h - Array edit distance function --- C++ -*-===//
2 : //
3 : // The LLVM Compiler Infrastructure
4 : //
5 : // This file is distributed under the University of Illinois Open Source
6 : // License. See LICENSE.TXT for details.
7 : //
8 : //===----------------------------------------------------------------------===//
9 : //
10 : // This file defines a Levenshtein distance function that works for any two
11 : // sequences, with each element of each sequence being analogous to a character
12 : // in a string.
13 : //
14 : //===----------------------------------------------------------------------===//
15 :
16 : #ifndef LLVM_ADT_EDIT_DISTANCE_H
17 : #define LLVM_ADT_EDIT_DISTANCE_H
18 :
19 : #include "llvm/ADT/ArrayRef.h"
20 : #include <algorithm>
21 : #include <memory>
22 :
23 : namespace llvm {
24 :
25 : /// Determine the edit distance between two sequences.
26 : ///
27 : /// \param FromArray the first sequence to compare.
28 : ///
29 : /// \param ToArray the second sequence to compare.
30 : ///
31 : /// \param AllowReplacements whether to allow element replacements (change one
32 : /// element into another) as a single operation, rather than as two operations
33 : /// (an insertion and a removal).
34 : ///
35 : /// \param MaxEditDistance If non-zero, the maximum edit distance that this
36 : /// routine is allowed to compute. If the edit distance will exceed that
37 : /// maximum, returns \c MaxEditDistance+1.
38 : ///
39 : /// \returns the minimum number of element insertions, removals, or (if
40 : /// \p AllowReplacements is \c true) replacements needed to transform one of
41 : /// the given sequences into the other. If zero, the sequences are identical.
42 : template<typename T>
43 2041854 : unsigned ComputeEditDistance(ArrayRef<T> FromArray, ArrayRef<T> ToArray,
44 : bool AllowReplacements = true,
45 : unsigned MaxEditDistance = 0) {
46 : // The algorithm implemented below is the "classic"
47 : // dynamic-programming algorithm for computing the Levenshtein
48 : // distance, which is described here:
49 : //
50 : // http://en.wikipedia.org/wiki/Levenshtein_distance
51 : //
52 : // Although the algorithm is typically described using an m x n
53 : // array, only one row plus one element are used at a time, so this
54 : // implementation just keeps one vector for the row. To update one entry,
55 : // only the entries to the left, top, and top-left are needed. The left
56 : // entry is in Row[x-1], the top entry is what's in Row[x] from the last
57 : // iteration, and the top-left entry is stored in Previous.
58 2041854 : typename ArrayRef<T>::size_type m = FromArray.size();
59 2041854 : typename ArrayRef<T>::size_type n = ToArray.size();
60 :
61 : const unsigned SmallBufferSize = 64;
62 : unsigned SmallBuffer[SmallBufferSize];
63 : std::unique_ptr<unsigned[]> Allocated;
64 : unsigned *Row = SmallBuffer;
65 2041854 : if (n + 1 > SmallBufferSize) {
66 8622 : Row = new unsigned[n + 1];
67 : Allocated.reset(Row);
68 : }
69 :
70 26548409 : for (unsigned i = 1; i <= n; ++i)
71 24506555 : Row[i] = i;
72 :
73 15194594 : for (typename ArrayRef<T>::size_type y = 1; y <= m; ++y) {
74 14869118 : Row[0] = y;
75 14869118 : unsigned BestThisRow = Row[0];
76 :
77 14869118 : unsigned Previous = y - 1;
78 323650513 : for (typename ArrayRef<T>::size_type x = 1; x <= n; ++x) {
79 308781395 : int OldRow = Row[x];
80 308781395 : if (AllowReplacements) {
81 303217303 : Row[x] = std::min(
82 606434606 : Previous + (FromArray[y-1] == ToArray[x-1] ? 0u : 1u),
83 467854951 : std::min(Row[x-1], Row[x])+1);
84 : }
85 : else {
86 16692276 : if (FromArray[y-1] == ToArray[x-1]) Row[x] = Previous;
87 5727612 : else Row[x] = std::min(Row[x-1], Row[x]) + 1;
88 : }
89 : Previous = OldRow;
90 308781395 : BestThisRow = std::min(BestThisRow, Row[x]);
91 : }
92 :
93 14869118 : if (MaxEditDistance && BestThisRow > MaxEditDistance)
94 1716378 : return MaxEditDistance + 1;
95 : }
96 :
97 325476 : unsigned Result = Row[n];
98 325476 : return Result;
99 : }
100 :
101 : } // End llvm namespace
102 :
103 : #endif
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