alokomkar

fun AppCompatActivity.subscribeToBroadcastsOnLifecycle(action: String, fn: (Intent) -> Unit) {
    observeBroadcasts(action).subscribeOnLifecycle(lifecycle, fn)
}

fun <T> Observable<T>.subscribeOnLifecycle(lifecycle: Lifecycle, fn: (T) -> Unit) {
    val lifecycleObserver: LifecycleObserver = object : LifecycleObserver {
        private var subscription: Disposable? = null

        @OnLifecycleEvent(Lifecycle.Event.ON_START)
        fun onStart() {

HiImJulien

Swift Meets C/C++

This gist is a simple example on how to call a function written in swift from C/C++, without taking the detour via Objective-C/C++.

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In this example we're going to invoke a function called say_hello, which, as the name already suggests, prints "Hello, World!" to the terminal.

andymatuschak

A composable pattern for pure state machines with effects

State machines are everywhere in interactive systems, but they're rarely defined clearly and explicitly. Given some big blob of code including implicit state machines, which transitions are possible and under what conditions? What effects take place on what transitions?

There are existing design patterns for state machines, but all the patterns I've seen complect side effects with the structure of the state machine itself. Instances of these patterns are difficult to test without mocking, and they end up with more dependencies. Worse, the classic patterns compose poorly: hierarchical state machines are typically not straightforward extensions. The functional programming world has solutions, but they don't transpose neatly enough to be broadly usable in mainstream languages.

Here I present a composable pattern for pure state machiness with effects,