be kind and comment, especially if you downvote
levenshtein_distance() is an implementation of the iterative algorithm for the levenshtein distance (cf. http://en.wikipedia.org/wiki/Levenshtein_distance#Iterative_with_full_matrix)
levenshtein_sequence() is an attempt to retrieve one of the levenshtein paths (the one that give priority to substitution, deletion, insertion, in this order). The result is a list of tuples made of:
- the operation (
=
,-
,+
,*
for respectively keep, delete, insert, substitute) - the coordinate in the first
- and in the second string.
>>> levenshtein_sequence('saturday', 'sunday')
[('=', 0, 0), ('-', 1, 0), ('-', 2, 0), ('=', 3, 1), ('*', 4, 2), ('=', 5, 3), ('=', 6, 4), ('=', 7, 5)]
>>> levenshtein_sequence('kitten', 'sitting')
[('*', 0, 0), ('=', 1, 1), ('=', 2, 2), ('=', 3, 3), ('*', 4, 4), ('=', 5, 5), ('+', 5, 6)]
This code is part of foreplays, in a plan I have to improve difflib with alternative SequenceMatchers \o/
/!\ tab indented, as usual.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 | #!/usr/bin/env python3
def square_list(a, b, value=0) :
return [[value,] * b for j in range(a)]
def arg_min(* arg_list) :
arg_s = None
for i, arg in enumerate(arg_list) :
if i == 0 or arg < arg_s :
arg_s = arg
i_s = i
return i_s, arg_s
MODIFIED = 0
DELETED = 1
CREATED = 2
def levenshtein_distance(a, b) :
""" return the levenshtein distance between two strings of list of """
len_a = len(a)
len_b = len(b)
d = square_list(len_a+1, len_b+1)
for i in range(1, len_a+1) :
d[i][0] = i
for j in range(1, len_b+1) :
d[0][j] = j
for j in range(1, len_b+1) :
for i in range(1, len_a+1) :
if a[i-1] == b[j-1] :
d[i][j] = d[i-1][j-1]
else :
d[i][j] = min(d[i-1][j], d[i][j-1], d[i-1][j-1]) + 1
return d[-1][-1]
def levenshtein_sequence(a, b) :
""" return an explicit list of difference between a and b """
len_a = len(a)
len_b = len(b)
s = list()
d = square_list(len_a+1, len_b+1)
for i in range(1, len_a+1) :
d[i][0] = i
for j in range(1, len_b+1) :
d[0][j] = j
for j in range(1, len_b+1) :
for i in range(1, len_a+1) :
if a[i-1] == b[j-1] :
d[i][j] = d[i-1][j-1]
else :
d[i][j] = min(d[i-1][j], d[i][j-1], d[i-1][j-1]) + 1
prev_i, prev_j = i, j
while i > 0 and j > 0 :
if i == 1 and j == 1 :
if prev_i != i and prev_j != j :
u = MODIFIED
elif prev_i == i :
u = CREATED
elif prev_j == j :
u = DELETED
new_i, new_j = i-1, j-1
elif i == 1 :
new_i, new_j = i, j-1
u = CREATED
elif j == 1 :
u = DELETED
new_i, new_j = i-1, j
else :
u, null = arg_min(d[i-1][j-1], d[i-1][j], d[i][j-1])
new_i, new_j = i - (1,1,0)[u], j - (1,0,1)[u]
op = '*-+'[u] if d[i][j] != d[new_i][new_j] else '='
s.append((op, i-1, j-1))
prev_i, prev_j = i, j
i, j = new_i, new_j
return list(reversed(s))
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