What It Does
Map:clear performs one focused job in script flow and can be chained cleanly with other API steps. Clears temporary state or data under Map.
Clears temporary state or data under Map.
Map:clear performs one focused job in script flow and can be chained cleanly with other API steps. Clears temporary state or data under Map.
In data flow, chaining JSON, Regex, Str, Map, and File steps to normalize intermediate values reduces error risk. This API becomes most valuable in multi-step chained scenarios.
This entry does not require mandatory parameters. This API is primarily side-effect driven; the important result is the device state change rather than the raw return value.
When combined with Str, JSON, Regex, Array, Map, and File, data transformation becomes much more readable in script flow.
The snippet below is a starter pattern that can be applied directly in runtime flow.
-- Map:clear
local result = Map:clear()
-- Use the result in your script flowFrom foundation to combined usage, each level is provided as a separate code block so you can copy the level you need and adapt it directly.
-- Map:clear
local result = Map:clear()
-- Use the result in your script flowlocal stepOk = true
-- Map:clear
local result = Map:clear()
-- Use the result in your script flow
if stepOk then
wait(200)
endlocal ok, result = pcall(function()
-- Map:clear
local result = Map:clear()
-- Use the result in your script flow
end)
if not ok then
print("API step failed: Map:clear")
requestStop()
end-- In data flow, chaining JSON, Regex, Str, Map, and File steps to normalize intermediate values reduces error risk.
local function run_clear_step()
-- Map:clear
local result = Map:clear()
-- Use the result in your script flow
end
local ok, err = pcall(run_clear_step)
if not ok then
toast("Step failed")
print(err)
end-- Map:clear
local result = Map:clear()
-- Use the result in your script flow
local raw = File.read("macro.log")
local normalized = Str.trim(raw)
print(normalized)