另一个使用递归函数的选项,一旦检测到不匹配,它也会立即“中断”:
import scala.annotation.tailrec
@tailrec
def isPerm1(a: String, b: String): Boolean = {
if (a.length == b.length) {
a.headOption match {
case Some(c) =>
val i = b.indexOf(c)
if (i >= 0) {
isPerm1(a.tail, b.substring(0, i) + b.substring(i + 1))
} else {
false
}
case None => true
}
} else {
false
}
}
出于我自己的好奇心,我还创建了另外两个使用字符计数映射进行匹配的版本:
def isPerm2(a: String, b: String): Boolean = {
val cntsA = a.groupBy(identity).mapValues(_.size)
val cntsB = b.groupBy(identity).mapValues(_.size)
cntsA == cntsB
}
和
def isPerm3(a: String, b: String): Boolean = {
val cntsA = a.groupBy(identity).mapValues(_.size)
val cntsB = b.groupBy(identity).mapValues(_.size)
(cntsA == cntsB) && cntsA.forall { case (k, v) => cntsB.getOrElse(k, 0) == v }
}
并通过以下方式大致比较它们的性能:
def time[R](block: => R): R = {
val t0 = System.nanoTime()
val result = block // call-by-name
val t1 = System.nanoTime()
println("Elapsed time: " + (t1 - t0) + "ns")
result
}
// Match
time((1 to 10000).foreach(_ => isPerm1("apple"*100,"elppa"*100)))
time((1 to 10000).foreach(_ => isPerm2("apple"*100,"elppa"*100)))
time((1 to 10000).foreach(_ => isPerm3("apple"*100,"elppa"*100)))
// Mismatch
time((1 to 10000).foreach(_ => isPerm1("xpple"*100,"elppa"*100)))
time((1 to 10000).foreach(_ => isPerm2("xpple"*100,"elppa"*100)))
time((1 to 10000).foreach(_ => isPerm3("xpple"*100,"elppa"*100)))
结果是:
匹配案例
- isPerm1 = 2337999406ns
- isPerm2 = 383375133ns
- isPerm3 = 382514833ns
不匹配案例
- isPerm1 = 29573489ns
- isPerm2 = 381622225ns
- isPerm3 = 417863227ns
正如预期的那样,字符计数映射加快了正例,但可以减慢负例(构建字符计数映射的开销)。