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Computing local information within a rolling time window in Scala
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organization := "com.mintbeans" | |
version := "0.1" | |
scalaVersion := "2.11.7" | |
scalacOptions := Seq("-unchecked", "-deprecation", "-encoding", "utf8") |
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import scala.io.Source | |
case class Observation(time: Int, value: BigDecimal) | |
class Memory(val length: Int, val observation: Option[Observation], val pastEvents: List[Observation]) { | |
def record(newObservation: Observation): Memory = { | |
val newEvents = (newObservation :: pastEvents).takeWhile(_.time > newObservation.time - length) | |
new Memory(length, Some(newObservation), newEvents) | |
} | |
override def toString = s"${observation} after ${pastEvents}" | |
} | |
object TimeSeries extends App { | |
val source = Source.stdin | |
val T = 60 | |
val observations = source.getLines.map(l => l.split('\t')).map(parts => Observation(parts(0).toInt, BigDecimal(parts(1)))) | |
val memories = observations.scanLeft(new Memory(T, None, Nil))( (h, o) => h.record(o)) | |
for (memory <- memories) memory.observation match { | |
case Some(observation) => | |
val pastEvents = memory.pastEvents | |
val pastValues = pastEvents.map(_.value) | |
println(s"""${observation.time} ${observation.value} ${pastEvents.size} | |
|${pastValues.sum.underlying.stripTrailingZeros} | |
|${pastValues.min.underlying.stripTrailingZeros} | |
|${pastValues.max.underlying.stripTrailingZeros}""".stripMargin.replaceAll("\n", " ")) | |
case None => | |
} | |
} |
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