Created
May 3, 2021 07:25
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Reactive programming in Scala (taken from Functional Program Design in Scala week 4 @ Coursera)
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import scala.util.DynamicVariable | |
class Signal[T](expr: => T) { | |
import Signal._ | |
private var myExpr: () => T = _ | |
private var myValue: T = _ | |
private var observers: Set[Signal[_]] = Set() | |
private var observed: List[Signal[_]] = Nil | |
update(expr) | |
protected def computeValue(): Unit = { | |
for (sig <- observed) | |
sig.observers -= this | |
observed = Nil | |
val newValue = caller.withValue(this)(myExpr()) | |
/* Disable the following "optimization" for the assignment, because we | |
* want to be able to track the actual dependency graph in the tests. | |
*/ | |
//if (myValue != newValue) { | |
myValue = newValue | |
val obs = observers | |
observers = Set() | |
obs.foreach(_.computeValue()) | |
//} | |
} | |
protected def update(expr: => T): Unit = { | |
myExpr = () => expr | |
computeValue() | |
} | |
def apply() = { | |
observers += caller.value | |
assert(!caller.value.observers.contains(this), "cyclic signal definition") | |
caller.value.observed ::= this | |
myValue | |
} | |
} | |
class Var[T](expr: => T) extends Signal[T](expr) { | |
override def update(expr: => T): Unit = super.update(expr) | |
} | |
object Var { | |
def apply[T](expr: => T) = new Var(expr) | |
} | |
object NoSignal extends Signal[Nothing](???) { | |
override def computeValue() = () | |
} | |
object Signal { | |
val caller = new DynamicVariable[Signal[_]](NoSignal) | |
def apply[T](expr: => T) = new Signal(expr) | |
} |
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