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-rw-r--r--script/core/definition.lua63
1 files changed, 59 insertions, 4 deletions
diff --git a/script/core/definition.lua b/script/core/definition.lua
index 3619916e..207fc9cc 100644
--- a/script/core/definition.lua
+++ b/script/core/definition.lua
@@ -7,18 +7,73 @@ local rpath = require 'workspace.require-path'
local jumpSource = require 'core.jump-source'
local wssymbol = require 'core.workspace-symbol'
-local function sortResults(results)
+--- @param s string
+--- @return string[]
+local function split(s)
+ local r = {}
+ s:gsub('[^/]+', function (w)
+ r[#r+1] = w:gsub("~1", "/"):gsub("~0", "~")
+ end)
+ return r
+end
+
+--- Returns the Levenshtein distance between the two given string arrays
+--- @param a string[]
+--- @param b string[]
+--- @return number
+local function levenshteinDistance(a, b)
+ local a_len, b_len = #a, #b
+ local matrix = {} --- @type integer[][]
+
+ -- Initialize the matrix
+ for i = 1, a_len + 1 do
+ matrix[i] = { [1] = i }
+ end
+
+ for j = 1, b_len + 1 do
+ matrix[1][j] = j
+ end
+
+ -- Compute the Levenshtein distance
+ for i = 1, a_len do
+ for j = 1, b_len do
+ local cost = (a[i] == b[j]) and 0 or 1
+ matrix[i + 1][j + 1] =
+ math.min(matrix[i][j + 1] + 1, matrix[i + 1][j] + 1, matrix[i][j] + cost)
+ end
+ end
+
+ -- Return the Levenshtein distance
+ return matrix[a_len + 1][b_len + 1]
+end
+
+--- @param path1 string
+--- @param path2 string
+--- @return number
+local function pathSimilarityRatio(path1, path2)
+ local parts1 = split(path1)
+ local parts2 = split(path2)
+ local distance = levenshteinDistance(parts1, parts2)
+ return distance * 2 / (#parts1 + #parts2)
+end
+
+local function sortResults(results, uri)
-- 先按照顺序排序
+ -- Sort in order first
+ local simularity_cache = {} --- @type table<string,number>
table.sort(results, function (a, b)
local u1 = guide.getUri(a.target)
local u2 = guide.getUri(b.target)
if u1 == u2 then
return a.target.start < b.target.start
else
- return u1 < u2
+ simularity_cache[u1] = simularity_cache[u1] or pathSimilarityRatio(uri, u1)
+ simularity_cache[u2] = simularity_cache[u2] or pathSimilarityRatio(uri, u2)
+ return simularity_cache[u1] < simularity_cache[u2]
end
end)
-- 如果2个结果处于嵌套状态,则取范围小的那个
+ -- If two results are nested, take the one with the smaller range
local lf, lu
for i = #results, 1, -1 do
local res = results[i].target
@@ -141,7 +196,7 @@ return function (uri, offset)
local results = {}
local uris = checkRequire(source)
if uris then
- for i, uri in ipairs(uris) do
+ for _, uri in ipairs(uris) do
results[#results+1] = {
uri = uri,
source = source,
@@ -230,7 +285,7 @@ return function (uri, offset)
return nil
end
- sortResults(results)
+ sortResults(results, uri)
jumpSource(results)
return results