给出lazy val
:
scala> lazy val y = {println("Y!"); 200}
y: Int = <lazy>
我尝试将y
放入Stream
- 以确定是否会急切或懒惰地评估。
scala> Stream(100, y)
Y!
res4: scala.collection.immutable.Stream[Int] = Stream(100, ?)
显然,它受到了热切的评价。
除了以下内容,我如何创建一个懒惰评估其成员的Stream
?
scala> Stream[() => Int](() => 100, () => 200)
res18: scala.collection.immutable.Stream[() => Int] = Stream(<function0>, ?)
scala> res18.map(_())
res19: scala.collection.immutable.Stream[Int] = Stream(100, ?)
scala> res19.last
res20: Int = 200
scala> res19
res21: scala.collection.immutable.Stream[Int] = Stream(100, 200)
答案 0 :(得分:5)
Stream.apply
采用varargs参数,并且在Scala中不可能有名称的varargs参数。但是,您可以使用流的#::
语法:
scala> lazy val y = {println("Y!"); 200}
y: Int = <lazy>
scala> val s = 100 #:: y #:: Stream.empty
s: scala.collection.immutable.Stream[Int] = Stream(100, ?)
scala> s.last
Y!
res0: Int = 200
这是有效的,因为ConsWrapper
类和用于向流添加#::
的隐式转换都采用了名称参数。
答案 1 :(得分:0)
特拉维斯是对的,但仅仅是为了踢球:
scala> implicit def a2f[T](t : => T) : (() => T) = () => t
a2f: [T](t: => T)() => T
scala> def lazyStream[T]( args : (() => T)* ) : Stream[T] = Stream(args:_*).map(_())
lazyStream: [T](args: () => T*)Stream[T]
scala> lazy val y = {println("Y!"); 200}
y: Int = <lazy>
scala> lazyStream(100, y)
res8: Stream[Int] = Stream(100, ?)
scala> res8.last
Y!
res9: Int = 200