~/bend-docscommunity

usage/JSON_GPU.bend source

usage/JSON_GPU.bend on the hub · documented module

import Baseimport ../libs/JSON.bend as Jsondef show_result(result: Result<&1, &1, Json.Error, Json.Value>) -> String:    match result:        case Fail{_}:            "ERROR"        case Done{value}:            Json.stringify(value)def show_batch(batch: Json.BatchResult) -> String:    match batch:        case Json.DocumentResult{result}:            show_result(result)        case Json.DocumentResults{left, right}:            show_batch(left) ++ "|" ++ show_batch(right)def show_optional(batch: Maybe<&1, Json.BatchResult>) -> String:    match batch:        case None{}:            "EMPTY"        case Some{results}:            show_batch(results)def check(ok: Bool) -> IO(Unit):    match ok:        case True{}:            IO.print("GPU entry point: results and order match")        case False{}:            IO.die(Unit, 1, "GPU entry point returned unexpected results")# A native executable uses the GPU when available. --gpu off exercises the# CPU fallback. JavaScript executes this example sequentially.def main() -> IO(Unit):    do IO<Unit>:        actual : String = show_optional(Json.parse_many_gpu(            "null" <> "true" <> "[1,]" <> "-12.50e+3" <>            "{\"x\":[false,\"ok\"]}" <> Nil{}))        check(String.eq(actual, "null|true|ERROR|-12.50e+3 |{\"x\":[false,\"ok\"]}"))