Thread

The Thread() function is used to create concurrent threads.

The Thread() function returns a Thread object, which is used to manage created concurrent threads, thread communication, etc.

Thread object

Thread(func, …args) Thread(…items)

The parameter func is a function for concurrent execution (passed by reference), and supports passing in anonymous functions. func can accept multiple parameters, which will be passed in through ...args during concurrent execution. Therefore, the parameter list of func needs to be consistent with ...args.

func true function The parameter arg is the actual parameter passed to func (i.e. the concurrent thread execution function) when the callback is executed; there may be multiple parameters arg, and the parameter list of func needs to be consistent with ...args.

arg false string, number, bool, object, array, function, null value and other types supported by the system The parameter item is an array containing the function references and their parameters to be executed concurrently. Multiple groups of item parameters can be passed in when calling the Thread function.

item true array

function test1(a, b, c) {
    Log("test1:", a, b, c)
}

function main() {
    var t1 = threading.Thread(test1, 1, 2, 3)
    var t2 = threading.Thread(function (msg) {
        Log("msg:", msg)
    }, "Hello thread2")

    t1.join()
    t2.join()
}

Create concurrent threads for both a custom function and an anonymous function.

function test1(msg) {
    Log("msg:", msg)
    test2("Hello test2")
}

function main() {
    var t1 = threading.Thread(
        [function(a, b, c) {Log(a, b, c)}, 1, 2, 3], 
        [test1, "Hello test1"], 
        [`function test2(msg) {Log("msg:", msg)}`])

    t1.join()
}

Use the Thread(...items) form to create concurrent threads and execute multiple functions sequentially.

function ml(input) {
    const net = new brain.NeuralNetwork()
    net.train([
        { input: [0, 0], output: [0] },
        { input: [0, 1], output: [1] },
        { input: [1, 0], output: [1] },
        { input: [1, 1], output: [0] },
    ])
    return net.run(input)
}

function main() {
    var ret = threading.Thread([ml, [1, 0]], [HttpQuery("https://unpkg.com/brain.js")]).join()

    // ret: {"id":1,"terminated":false,"elapsed":337636000,"ret":{"0":0.9339330196380615}}
    Log(ret)
}

It supports passing in function strings and can import external libraries dynamically for concurrent computing.

The thread function func passed into the Thread() function for concurrent execution runs in an isolated environment, so variables outside the thread cannot be directly referenced, and compilation will fail when referenced. At the same time, references to other closure functions are not supported within the thread. All APIs provided by the platform can be called within the thread, but other user-defined functions cannot be called.

It supports backtesting system and live trading environment. All concurrent thread-related functions are only supported as code compatibility in the backtesting system and will not be actually executed by concurrent threads, so they will not be repeated in this chapter.

{@fun/Threads/threading/getThread getThread}, {@fun/Threads/threading/mainThread mainThread}, {@fun/Threads/threading/currentThread currentThread}, {@fun/Threads/threading/Lock Lock}, {@fun/Threads/threading/Condition Condition}, {@fun/Threads/threading/Event Event}, {@fun/Threads/threading/Dict Dict}, {@fun/Threads/threading/pending pending}, {@fun/Threads/threading/eventLoop eventLoop}

NetSettings getThread