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/***********************************************************************************************************************
 * Copyright (C) 2010-2013 by the Stratosphere project (http://stratosphere.eu)
 *
 * Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
 * the License. You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
 * an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
 * specific language governing permissions and limitations under the License.
 **********************************************************************************************************************/

package eu.stratosphere.examples.scala.testing

// Uncomment if you need to rebuild it for PackagedProgramEndToEndTest
//
//import eu.stratosphere.api.common.Program
//import eu.stratosphere.api.common.ProgramDescription
//
//import eu.stratosphere.api.scala._
//import eu.stratosphere.api.scala.operators._
//
//
//class KMeansForTest extends Program with ProgramDescription {
//
//  override def getPlan(args: String*) = {
//    getScalaPlan(args(0).toInt, args(1), args(2), args(3), args(4).toInt)
//  }
//
//  case class Point(x: Double, y: Double, z: Double) {
//    def computeEuclidianDistance(other: Point) = other match {
//      case Point(x2, y2, z2) => math.sqrt(math.pow(x - x2, 2) + math.pow(y - y2, 2) + math.pow(z - z2, 2))
//    }
//  }
//
//  case class Distance(dataPoint: Point, clusterId: Int, distance: Double)
//
//  def asPointSum = (pid: Int, dist: Distance) => dist.clusterId -> PointSum(1, dist.dataPoint)
//
//  //  def sumPointSums = (dataPoints: Iterator[(Int, PointSum)]) => dataPoints.reduce { (z, v) => z.copy(_2 = z._2 + v._2) }
//  def sumPointSums = (dataPoints: Iterator[(Int, PointSum)]) => {
//    dataPoints.reduce { (z, v) => z.copy(_2 = z._2 + v._2) }
//  }
//
//
//  case class PointSum(count: Int, pointSum: Point) {
//    def +(that: PointSum) = that match {
//      case PointSum(c, Point(x, y, z)) => PointSum(count + c, Point(x + pointSum.x, y + pointSum.y, z + pointSum.z))
//    }
//
//    def toPoint() = Point(round(pointSum.x / count), round(pointSum.y / count), round(pointSum.z / count))
//
//    // Rounding ensures that we get the same results in a multi-iteration run
//    // as we do in successive single-iteration runs, since the output format
//    // only contains two decimal places.
//    private def round(d: Double) = math.round(d * 100.0) / 100.0;
//  }
//
//  def parseInput = (line: String) => {
//    val PointInputPattern = """(\d+)\|-?(\d+\.\d+)\|-?(\d+\.\d+)\|-?(\d+\.\d+)\|""".r
//    val PointInputPattern(id, x, y, z) = line
//    (id.toInt, Point(x.toDouble, y.toDouble, z.toDouble))
//  }
//
//  def formatOutput = (cid: Int, p: Point) => "%d|%.2f|%.2f|%.2f|".format(cid, p.x, p.y, p.z)
//
//  def computeDistance(p: (Int, Point), c: (Int, Point)) = {
//    val ((pid, dataPoint), (cid, clusterPoint)) = (p, c)
//    val distToCluster = dataPoint.computeEuclidianDistance(clusterPoint)
//
//    pid -> Distance(dataPoint, cid, distToCluster)
//  }
//
//
//  def getScalaPlan(numSubTasks: Int, dataPointInput: String, clusterInput: String, clusterOutput: String, numIterations: Int) = {
//    val dataPoints = DataSource(dataPointInput, DelimitedInputFormat(parseInput))
//    val clusterPoints = DataSource(clusterInput, DelimitedInputFormat(parseInput))
//
//    val finalCenters = clusterPoints.iterate(numIterations, { centers =>
//
//      val distances = dataPoints cross centers map computeDistance
//      val nearestCenters = distances groupBy { case (pid, _) => pid } reduceGroup { ds => ds.minBy(_._2.distance) } map asPointSum.tupled
//      val newCenters = nearestCenters groupBy { case (cid, _) => cid } reduceGroup sumPointSums map { case (cid, pSum) => cid -> pSum.toPoint() }
//
//      newCenters
//    })
//
//    val output = finalCenters.write(clusterOutput, DelimitedOutputFormat(formatOutput.tupled))
//
//    val plan = new ScalaPlan(Seq(output), "KMeans Iteration (ONLY FOR TESTING)")
//    plan.setDefaultParallelism(numSubTasks)
//    plan
//  }
//
//  override def getDescription() = {
//    "Parameters: [numSubStasksS] [dataPoints] [clusterCenters] [output] [numIterations]"
//  }
//}