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Maximum Length for scala queue

开发者 https://www.devze.com 2023-03-25 15:58 出处:网络
I\'m curious if Scala has some gem hidden in its collection classes that I can use.Basically I\'m looking for something like a FIFO queue, but that has an upper-limit on its size such that when the li

I'm curious if Scala has some gem hidden in its collection classes that I can use. Basically I'm looking for something like a FIFO queue, but that has an upper-limit on its size such that when the limit is hit, the oldest (first) element is removed from the开发者_运维技巧 queue. I've implemented this myself in Java in the past, but I'd rather use something standard if possible.


An often preferable alternative to subclassing is the (unfortunately named) "pimp my library" pattern. You can use it to add an enqueueFinite method to Queue, like so:

import scala.collection.immutable.Queue
class FiniteQueue[A](q: Queue[A]) {
  def enqueueFinite[B >: A](elem: B, maxSize: Int): Queue[B] = {
    var ret = q.enqueue(elem)
    while (ret.size > maxSize) { ret = ret.dequeue._2 }
    ret
  }
}
implicit def queue2finitequeue[A](q: Queue[A]) = new FiniteQueue[A](q)

Whenever queue2finitequeue is in scope, you can treat Queue objects as though they have the enqueueFinite method:

val maxSize = 3
val q1 = Queue(1, 2, 3)
val q2 = q1.enqueueFinite(5, maxSize)
val q3 = q2.map(_+1)
val q4 = q3.enqueueFinite(7, maxSize)

The advantage of this approach over subclassing is that enqueueFinite is available to all Queues, including those that are constructed via operations like enqueue, map, ++, etc.

Update: As Dylan says in the comments, enqueueFinite needs also to take a parameter for the maximum queue size, and drop elements as necessary. I updated the code.


Why don't you just subclass a FIFO queue? Something like this should work: (pseudocode follows...)

class Limited(limit:Int) extends FIFO {
  override def enqueue() = {
    if (size >= limit) {
      //remove oldest element
    }
    super.enqueue()
  }
}


Here is an immutable solution:

class FixedSizeFifo[T](val limit: Int)
( private val out: List[T], private val in: List[T] ) 
extends Traversable[T] {

  override def size = in.size + out.size

  def :+( t: T ) = {
    val (nextOut,nextIn) = if (size == limit) {
      if( out.nonEmpty) {
        ( out.tail, t::in ) 
      } else {
        ( in.reverse.tail, List(t) )
      }
    } else ( out, t::in )
      new FixedSizeFifo( limit )( nextOut, nextIn )
  }

  private lazy val deq = {
    if( out.isEmpty ) {
      val revIn = in.reverse
      ( revIn.head, new FixedSizeFifo( limit )( revIn.tail, List() ) )
    } else {
      ( out.head, new FixedSizeFifo( limit )( out.tail, in ) )
    }
  }
  override lazy val head = deq._1
  override lazy val tail = deq._2

  def foreach[U]( f: T => U ) = ( out ::: in.reverse ) foreach f

}

object FixedSizeFifo {
  def apply[T]( limit: Int ) = new FixedSizeFifo[T]( limit )(List(),List())
}

An example:

val fifo = FixedSizeFifo[Int](3) :+ 1 :+ 2 :+ 3 :+ 4 :+ 5 :+ 6
println( fifo )                //prints: FixedSizeFifo(4, 5, 6)
println( fifo.head )           //prints: 4
println( fifo.tail :+ 7 :+8 )  //prints: FixedSizeFifo(6, 7, 8)


This is the approach I toke with extending Scala's standard mutable.Queue class.

class LimitedQueue[A](maxSize: Int) extends mutable.Queue[A] {
  override def +=(elem: A): this.type = {
    if (length >= maxSize) dequeue()
    appendElem(elem);
    this
  }
}

And simple use-case

var q2 = new LimitedQueue[Int](2)
q2 += 1
q2 += 2
q2 += 3
q2 += 4
q2 += 5

q2.foreach { n =>
  println(n)
}

You'll get only 4 and 5 in the console as the old elements were dequeued beforehand.

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