Files
functional-programming-snake/scala/solutions/Stream.scala
T
2026-10-29 00:12:08 +01:00

85 lines
2.6 KiB
Scala

package snake
/** Something that happens to the program: time passing (ms since start) or a key going down or up. */
enum Event:
case Time(t: Long)
case KeyDown(key: String)
case KeyUp(key: String)
/**
* m08 stream: an event stream is a pure automaton (a Mealy machine).
* There is no hidden state: whatever a stream "remembers" lives in the next stream it returns.
*/
final case class Stream[A](step: Event => (List[A], Stream[A])):
// Each combinator steps this stream and wraps the *next* stream in the same combinator.
def map[B](f: A => B): Stream[B] =
Stream { e =>
val (out, next) = step(e)
(out.map(f), next.map(f))
}
def filter(p: A => Boolean): Stream[A] =
Stream { e =>
val (out, next) = step(e)
(out.filter(p), next.filter(p))
}
def filterMap[B](f: A => Option[B]): Stream[B] =
Stream { e =>
val (out, next) = step(e)
(out.flatMap(f), next.filterMap(f))
}
def merge(other: Stream[A]): Stream[A] =
Stream { e =>
val (outA, nextA) = step(e)
val (outB, nextB) = other.step(e)
(outA ++ outB, nextA.merge(nextB))
}
// The accumulator travels in the argument of the next scan, not in a variable.
// scanLeft keeps z as its first element; drop it, we only emit new accumulators.
def scan[B](z: B)(f: (B, A) => B): Stream[B] =
Stream { e =>
val (out, next) = step(e)
val accs = out.scanLeft(z)(f).tail
(accs, next.scan(accs.lastOption.getOrElse(z))(f))
}
// Only the first step is special; afterwards we are just `next`.
def startWith(v: A): Stream[A] =
Stream { e =>
val (out, next) = step(e)
(v :: out, next)
}
def run(events: List[Event]): List[A] =
events
.foldLeft((List.empty[A], this)) { case ((outs, stream), e) =>
val (out, next) = stream.step(e)
(outs ++ out, next)
}
._1
object Stream:
// Sources may return themselves as the next stream, since they remember nothing.
lazy val keyDowns: Stream[String] = Stream {
case Event.KeyDown(key) => (List(key), keyDowns)
case _ => (Nil, keyDowns)
}
lazy val keyUps: Stream[String] = Stream {
case Event.KeyUp(key) => (List(key), keyUps)
case _ => (Nil, keyUps)
}
// `last` is the time of the previous Time event. Multiples of ms in (last, t] fire, ascending.
private def intervalFrom(ms: Long, last: Long): Stream[Long] = Stream {
case Event.Time(t) => ((last / ms + 1 to t / ms).map(_ * ms).toList, intervalFrom(ms, t))
case _ => (Nil, intervalFrom(ms, last))
}
def interval(ms: Long): Stream[Long] = intervalFrom(ms, 0)