如何在scala中实现这个未来/状态概念作为monad

时间:2011-11-12 21:16:08

标签: scala monads

我正在尝试为匹配(例如体育运动)结果实现容器,以便我可以在其他匹配的获胜者之间创建匹配。这个概念接近未来的monad是什么,因为它包含一个被定义的值,并且当它隐藏状态变化时也接近状态monad。作为主题的主要人物,我已经在scala中实现了初始版本,这肯定是可以改进的。我添加了一个get方法,我不确定这是一个好主意,到目前为止创建一个值的唯一方法是Unknown(null),这不像我希望的那样优雅。您认为我可以做些什么来改进这种设计?

case class Unknown[T](t : T) {
  private var value : Option[T] = Option(t)
  private var applicatives: List[T => Unit] = Nil

  def set(t: T) {
    if (known) {
      value = Option(t)
      applicatives.foreach(f => f(t))
      applicatives = Nil
    } else {
      throw new IllegalStateException
    }
  }

  def get : T = value.get

  def apply(f: T => Unit) = value match {
    case Some(x) => f(x);
    case None => applicatives ::= f
  }

  def known = value == None
}

更新:当前实施的使用示例如下

case class Match(val home: Unknown[Team], val visit: Unknown[Team], val result: Unknown[(Int, Int)]) {
  val winner: Unknown[Team] = Unknown(null)
  val loser: Unknown[Team] = Unknown(null)

  result.apply(result => {
    if (result._1 > result._2) {
      home.apply(t => winner.set(t))
      visit.apply(t => loser.set(t))
    } else {
      home.apply(t => loser.set(t))
      visit.apply(t => winner.set(t))
    }
  })
}

一个测试片段:

val definedUnplayedMatch = Match(Unknown(Team("A")), Unknown(Team("B")), Unknown(null));
val definedPlayedMatch = Match(Unknown(Team("D")), Unknown(Team("E")), Unknown((1,0)));
val undefinedUnplayedMatch = Match(Unknown(null), Unknown(null), Unknown(null));

definedUnplayedMatch.winner.apply(undefinedUnplayedMatch.home.set(_))
definedPlayedMatch.winner.apply(undefinedUnplayedMatch.visit.set(_))
undefinedUnplayedMatch.result.set((3,1))
definedUnplayedMatch.result.set((2,4))
undefinedUnplayedMatch.winner.get must be equalTo(Team("B")); 
undefinedUnplayedMatch.loser.get must be equalTo(Team("D"));

更新 - 当前想法:我没有太多时间来解决这个问题,因为我的笔记本电脑坏了,但是我写这个monad对我来说是有用的。有兴趣:

sealed abstract class Determine[+A] {
  def map[B](f: A => B): Determine[B]
  def flatMap[B](f: A => Determine[B]): Determine[B]
  def filter(p: A => Boolean): Determine[A]
  def foreach(b: A => Unit): Unit
}
final case class Known[+A](value: A) extends Determine[A] {
  def map[B](f: A => B): Determine[B] = Known(f(value))
  def flatMap[B](f: A => Determine[B]): Determine[B] = f(value)
  def filter(p: A => Boolean): Determine[A] = if (p(value)) this else Unknown
  def foreach(b: A => Unit): Unit = b(value)
}
final case class TBD[A](definer: () => A) extends Determine[A] {
  private var value: A = _

  def map[B](f: A => B): Determine[B] = {
    def newDefiner(): B = {
      f(cachedDefiner())
    }
    TBD[B](newDefiner)
  }

  def flatMap[B](f: A => Determine[B]): Determine[B] = {
    f(cachedDefiner())
  }

  def filter(p: A => Boolean): Determine[A] = {
    if (p(cachedDefiner()))
      this
    else
      Unknown
  }

  def foreach(b: A => Unit): Unit = {
    b(cachedDefiner())
  }

  private def cachedDefiner(): A = {
    if (value == null)
      value = definer()
    value
  }
}
case object Unknown extends Determine[Nothing] {
  def map[B](f: Nothing => B): Determine[B] = this
  def flatMap[B](f: Nothing => Determine[B]): Determine[B] = this
  def filter(p: Nothing => Boolean): Determine[Nothing] = this
  def foreach(b: Nothing => Unit): Unit = {}
}

我摆脱了套装& get和现在TBD类接收一个定义提供值的函数,如果仍然未定义则返回null。这个想法适用于map方法,但其余的方法都有微妙的错误。

1 个答案:

答案 0 :(得分:2)

对于一个简单的方法,你不需要monad,部分应用就足够了:

//some utilities
type Score=(Int,Int)
case class MatchResult[Team](winner:Team,loser:Team)

//assume no ties
def playMatch[Team](home:Team,away:Team)(score:Score)= 
  if (score._1>score._2) MatchResult(home,away) 
  else MatchResult(away,home)

//defined played match
val dpm= playMatch("D","E")(1,0)
//defined unplayed match, we'll apply the score later
val dum= playMatch("A","B")_

// a function that takes the dum score and applies it 
// to get a defined played match from  an undefined one
// still is a partial application of match because we don't have the final result yet
val uumWinner= { score:Score => playMatch (dpm.winner,dum(score).winner) _ }
val uumLoser= { score:Score => playMatch (dpm.loser,dum(score).loser)  _}

//apply the scores 
uumWinner (2,4)(3,1)
uumLoser (2,4)(0,1)


//scala> uumWinner (2,4)(3,1)
//res6: MatchResult[java.lang.String] = MatchResult(D,B)
//scala> uumLoser (2,4)(0,1)
//res7: MatchResult[java.lang.String] = MatchResult(A,E)

这是一个起点,我很确定它可以进一步完善。也许在那里我们会找到难以捉摸的monad。但我认为应用仿函数就足够了。 我稍后会再通过......