/usr/share/lua/5.1/luacheck/multithreading.lua is in lua-check 0.21.1-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 | local utils = require "luacheck.utils"
local multithreading = {}
local lanes_ok, lanes = pcall(require, "lanes")
lanes_ok = lanes_ok and pcall(lanes.configure)
multithreading.has_lanes = lanes_ok
multithreading.lanes = lanes
multithreading.default_jobs = 1
if not lanes_ok then
return multithreading
end
local cpu_number_detection_commands = {}
if utils.is_windows then
cpu_number_detection_commands[1] = "echo %NUMBER_OF_PROCESSORS%"
else
cpu_number_detection_commands[1] = "getconf _NPROCESSORS_ONLN 2>&1"
cpu_number_detection_commands[2] = "sysctl -n hw.ncpu 2>&1"
cpu_number_detection_commands[3] = "psrinfo -p 2>&1"
end
for _, command in ipairs(cpu_number_detection_commands) do
local handler = io.popen(command)
if handler then
local output = handler:read("*a")
handler:close()
if output then
local cpu_number = tonumber(utils.strip(output))
if cpu_number then
multithreading.default_jobs = math.floor(math.max(cpu_number, 1))
break
end
end
end
end
-- Reads pairs {key, arg} from given linda slot until it gets nil as arg.
-- Returns table with pairs [key] = func(arg).
local function worker_task(linda, input_slot, func)
local results = {}
while true do
local _, pair = linda:receive(nil, input_slot)
local key, arg = pair[1], pair[2]
if arg == nil then
return results
end
results[key] = func(arg)
end
end
local function protected_worker_task(...)
return true, utils.try(worker_task, ...)
end
local worker_gen = lanes.gen("*", protected_worker_task)
-- Maps func over array, performing at most jobs calls in parallel.
function multithreading.pmap(func, array, jobs)
jobs = math.min(jobs, #array)
if jobs < 2 then
return utils.map(func, array)
end
local workers = {}
local linda = lanes.linda()
for i = 1, jobs do
workers[i] = worker_gen(linda, 0, func)
end
for i, item in ipairs(array) do
linda:send(nil, 0, {i, item})
end
for _ = 1, jobs do
linda:send(nil, 0, {})
end
local results = {}
for _, worker in ipairs(workers) do
local _, ok, worker_results = assert(worker:join())
if ok then
utils.update(results, worker_results)
else
error(worker_results, 0)
end
end
return results
end
return multithreading
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