What's the idiomatic way to call map over a collection producing 0 or 1 result per entry?
Suppose I have:
val data = Array("A", "x:y", "d:e")
What I'd like as a result is:
val target = Array(("x", "y"), ("d", "e"))
(drop anything without a colon, split on colon and return tuples)
So in theory I think I want to do something like:
val attempt1 = data.map( arg => {
arg.split(":", 2) match {
case Array(l,r) => (l, r)
case _ => (None, None)
}
}).filter( _._1 != None )
What I'd like to do is avoid the need for the any-case and get rid of the filter
.
I could do this by pre-filtering (but then I have to test the regex twice):
val attempt2 = data.filter( arg.contains(":") ).map( arg => {
val Array(l,r) = arg.split(":", 2)
(l,r)
})
Last, I could use Some/None and flatMap...which does get rid of the need to filter
, but is it what most scala programmers would expect?
val attempt3 = data.flatMap( arg => {
arg.split(":", 2) match {
case Array(l,r) => Some((l,r))
case _ => None
}
})
It seems to me like there'd be an idiomatic way to do this in Scala, is there?
With a Regex
extractor and collect
:-)
scala> val R = "(.+):(.+)".r
R: scala.util.matching.Regex = (.+):(.+)
scala> Array("A", "x:y", "d:e") collect {
| case R(a, b) => (a, b)
| }
res0: Array[(String, String)] = Array((x,y), (d,e))
Edit:
If you want a map, you can do:
scala> val x: Map[String, String] = Array("A", "x:y", "d:e").collect { case R(a, b) => (a, b) }.toMap
x: Map[String,String] = Map(x -> y, d -> e)
If performance is a concern, you can use collection.breakOut
as shown below to avoid creation of an intermediate array:
scala> val x: Map[String, String] = Array("A", "x:y", "d:e").collect { case R(a, b) => (a, b) } (collection.breakOut)
x: Map[String,String] = Map(x -> y, d -> e)
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