Files
telescope.nvim/lua/telescope/sorters.lua
2020-09-01 22:27:50 -04:00

291 lines
7.0 KiB
Lua

local log = require('telescope.log')
local util = require('telescope.utils')
local sorters = {}
local Sorter = {}
Sorter.__index = Sorter
---@class Sorter
--- Sorter sorts a list of results by return a single integer for a line,
--- given a prompt
---
--- Lower number is better (because it's like a closer match)
--- But, any number below 0 means you want that line filtered out.
--- @field scoring_function function Function that has the interface:
-- (sorter, prompt, line): number
function Sorter:new(opts)
opts = opts or {}
return setmetatable({
state = {},
scoring_function = opts.scoring_function,
}, Sorter)
end
function Sorter:score(prompt, entry)
-- TODO: Decide if we actually want to check the type every time.
return self:scoring_function(prompt, type(entry) == "string" and entry or entry.ordinal)
end
function sorters.new(...)
return Sorter:new(...)
end
sorters.Sorter = Sorter
sorters.get_ngram_sorter = function()
return Sorter:new {
scoring_function = function(_, prompt, line)
if prompt == "" or prompt == nil then
return 1
end
local ok, result = pcall(function()
local ngram = util.new_ngram { N = 4 }
ngram:add(line)
local score = ngram:score(prompt)
if score == 0 then
return -1
end
-- return math.pow(math.max(score, 0.0001), -1)
return score
end)
print(prompt, line, result)
return ok and result or 1
end
}
end
sorters.get_levenshtein_sorter = function()
return Sorter:new {
scoring_function = function(_, prompt, line)
local result = require('telescope.algos.string_distance')(prompt, line)
log.info("Sorting result for", prompt, line, " = ", result)
return result
end
}
end
-- TODO: Match on upper case words
-- TODO: Match on last match
sorters.get_fuzzy_file = function(opts)
opts = opts or {}
local ngram_len = opts.ngram_len or 2
local os_sep = '/'
local cached_tails = setmetatable({}, {
__index = function(t, k)
local tail_split = vim.split(k, os_sep)
local tail = tail_split[#tail_split]
rawset(t, k, tail)
return tail
end,
})
local cached_uppers = setmetatable({}, {
__index = function(t, k)
local obj = {}
for i = 1, #k do
local s = k:sub(i, i)
local s_byte = s:byte()
if s_byte <= 90 and s_byte >= 65 then
obj[s] = true
end
end
rawset(t, k, obj)
return obj
end
})
local cached_ngrams = {}
local function overlapping_ngrams(s, n)
if cached_ngrams[s] and cached_ngrams[s][n] then
return cached_ngrams[s][n]
end
local R = {}
for i = 1, s:len() - n + 1 do
R[#R+1] = s:sub(i, i+n-1)
end
if not cached_ngrams[s] then
cached_ngrams[s] = {}
end
cached_ngrams[s][n] = R
return R
end
return Sorter:new {
scoring_function = function(_, prompt, line)
local N = #prompt
if prompt == 0 or N < ngram_len then
-- TODO: If the character is in the line,
-- then it should get a point or somethin.
return 0
end
local prompt_lower = prompt:lower()
local line_lower = line:lower()
local prompt_lower_ngrams = overlapping_ngrams(prompt_lower, ngram_len)
-- Contains the original string
local contains_string = line_lower:find(prompt_lower, 1, true)
local prompt_uppers = cached_uppers[prompt]
local line_uppers = cached_uppers[line]
local uppers_matching = 0
for k, _ in pairs(prompt_uppers) do
if line_uppers[k] then
uppers_matching = uppers_matching + 1
end
end
-- TODO: Consider case senstivity
local tail = cached_tails[line_lower]
local contains_tail = tail:find(prompt, 1, true)
local consecutive_matches = 0
local previous_match_index = 0
local match_count = 0
for i = 1, #prompt_lower_ngrams do
local match_start = line_lower:find(prompt_lower_ngrams[i], 1, true)
if match_start then
match_count = match_count + 1
if match_start > previous_match_index then
consecutive_matches = consecutive_matches + 1
end
previous_match_index = match_start
end
end
local tail_modifier = 1
if contains_tail then
tail_modifier = 2
end
local denominator = (
(10 * match_count / #prompt_lower_ngrams)
-- biases for shorter strings
+ 3 * match_count * ngram_len / #line
+ consecutive_matches
+ N / (contains_string or (2 * #line))
-- + 30/(c1 or 2*N)
-- TODO: It might be possible that this too strongly correlates,
-- but it's unlikely for people to type capital letters without actually
-- wanting to do something with a capital letter in it.
+ uppers_matching
) * tail_modifier
if denominator == 0 or denominator ~= denominator then
return -1
end
if #prompt > 2 and denominator < 0.5 then
return -1
end
return 1 / denominator
end
}
end
sorters.get_norcalli_sorter = function()
local ngramlen = 2
local cached_ngrams = {}
local function overlapping_ngrams(s, n)
if cached_ngrams[s] and cached_ngrams[s][n] then
return cached_ngrams[s][n]
end
local R = {}
for i = 1, s:len() - n + 1 do
R[#R+1] = s:sub(i, i+n-1)
end
if not cached_ngrams[s] then
cached_ngrams[s] = {}
end
cached_ngrams[s][n] = R
return R
end
return Sorter:new {
scoring_function = function(_, prompt, line)
if prompt == 0 or #prompt < ngramlen then
return 0
end
local prompt_lower = prompt:lower()
local line_lower = line:lower()
local prompt_ngrams = overlapping_ngrams(prompt_lower, ngramlen)
local N = #prompt
local contains_string = line_lower:find(prompt_lower, 1, true)
local consecutive_matches = 0
local previous_match_index = 0
local match_count = 0
for i = 1, #prompt_ngrams do
local match_start = line_lower:find(prompt_ngrams[i], 1, true)
if match_start then
match_count = match_count + 1
if match_start > previous_match_index then
consecutive_matches = consecutive_matches + 1
end
previous_match_index = match_start
end
end
-- TODO: Copied from ashkan.
local denominator = (
(10 * match_count / #prompt_ngrams)
-- biases for shorter strings
-- TODO(ashkan): this can bias towards repeated finds of the same
-- subpattern with overlapping_ngrams
+ 3 * match_count * ngramlen / #line
+ consecutive_matches
+ N / (contains_string or (2 * #line))
-- + 30/(c1 or 2*N)
)
if denominator == 0 or denominator ~= denominator then
return -1
end
if #prompt > 2 and denominator < 0.5 then
return -1
end
return 1 / denominator
end
}
end
return sorters