. JS fuse.js .
, . , .
lua .
function levenshtein(s, t)
local s, t = tostring(s), tostring(t)
if type(s) == 'string' and type(t) == 'string' then
local m, n, d =
for i = 0, m do d[i] = { [0] = i } end
for j = 1, n do d[0][j] = j end
for i = 1, m do
for j = 1, n do
local cost = s:sub(i,i) == t:sub(j,j) and 0 or 1
d[i][j] = math.min(d[i-1][j]+1, d[i][j-1]+1, d[i-1][j-1]+cost)
end
end
return d[m][n]
end
end
, , , , , , . , memoize .
levenshtein('referrer', 'referrer') -- zero distance
>>> 0
levenshtein('referrer', 'referer') -- distance of one character
>>> 1
levenshtein('random', 'strings') -- random big distance
>>> 6
, lua , lua - , .
local monsters = {'A Golden Dragon', 'Goblins', 'Bunny', 'Dragoon'}
function levenshtein(s, t)
local s, t = tostring(s), tostring(t)
if type(s) == 'string' and type(t) == 'string' then
local m, n, d =
for i = 0, m do d[i] = { [0] = i } end
for j = 1, n do d[0][j] = j end
for i = 1, m do
for j = 1, n do
local cost = s:sub(i,i) == t:sub(j,j) and 0 or 1
d[i][j] = math.min(d[i-1][j]+1, d[i][j-1]+1, d[i-1][j-1]+cost)
end
end
return d[m][n]
end
end
--Fuzzy Search Returns the Best Match in a list
function fuzzySearch(list, searchText)
local bestMatch = nil;
local lowestScore = nil;
for i = 1,
local score = levenshtein(list[i], searchText)
if lowestScore == nil or score < lowestScore then
bestMatch = list[i]
lowestScore = score
end
end
return bestMatch
end
print ( fuzzySearch(monsters, 'golen dragggon') )
print ( fuzzySearch(monsters, 'A Golden Dfigon') )
print ( fuzzySearch(monsters, 'A Gelden Dragon') )
print ( fuzzySearch(monsters, 'Dragooon') ) --should be Dragoon
print ( fuzzySearch(monsters, 'Funny') ) --should be Bunny
print ( fuzzySearch(monsters, 'Gob') ) --should be Goblins
A Golden Dragon
A Golden Dragon
A Golden Dragon
Dragoon
Bunny
Goblins
SQL
T-SQL, .
SQLlite editdist3, , .