[Tool] Fix StatisticsPackage structure

openmole/third-parties/org.openmole.tool.statistics/src/main/scala/org/openmole/tool/statistics/StatisticsPackage.scala

+package org.openmole.tool.statistics
+
+import org.openmole.tool.types.ToDouble
+
+trait StatisticsPackage extends Stat { stat ⇒
+
+  implicit class StatisticIterableOfDoubleDecorator[T](s: Seq[T])(implicit td: ToDouble[T]) {
+    def median: Double = stat.median(s.map(td.apply))
+    def medianAbsoluteDeviation = stat.medianAbsoluteDeviation(s.map(td.apply))
+    def average = stat.average(s.map(td.apply))
+    def variance = stat.variance(s.map(td.apply))
+    def meanSquaredError = stat.meanSquaredError(s.map(td.apply))
+    def standardDeviation = stat.standardDeviation(s.map(td.apply))
+    def rootMeanSquaredError = stat.rootMeanSquaredError(s.map(td.apply))
+
+    def normalize = stat.normalize(s.map(td.apply))
+
+    def absoluteDistance[T2](to: Seq[T2])(implicit td2: ToDouble[T2]) = stat.absoluteDistance(s.map(td.apply), to.map(td2.apply))
+    def squareDistance[T2](to: Seq[T2])(implicit td2: ToDouble[T2]) = stat.squareDistance(s.map(td.apply), to.map(td2.apply))
+    def dynamicTimeWarpingDistance[T2](to: Seq[T2], fast: Boolean = true)(implicit td2: ToDouble[T2]) = stat.dynamicTimeWarpingDistance(s.map(td.apply), to.map(td2.apply))
+  }
+
+  implicit def statisticArrayOfDoubleDecorator[T: ToDouble](s: Array[T]) = new StatisticIterableOfDoubleDecorator(s.toVector)
+}

openmole/third-parties/org.openmole.tool.statistics/src/main/scala/org/openmole/tool/statistics/package.scala

@@ -16,31 +16,4 @@
  */
 package org.openmole.tool
 
-package statistics {
-
-  import org.openmole.tool.types.ToDouble
-
-  trait StatisticsPackage extends Stat { stat ⇒
-
-    implicit class StatisticIterableOfDoubleDecorator[T](s: Seq[T])(implicit td: ToDouble[T]) {
-      def median: Double = stat.median(s.map(td.apply))
-      def medianAbsoluteDeviation = stat.medianAbsoluteDeviation(s.map(td.apply))
-      def average = stat.average(s.map(td.apply))
-      def variance = stat.variance(s.map(td.apply))
-      def meanSquaredError = stat.meanSquaredError(s.map(td.apply))
-      def standardDeviation = stat.standardDeviation(s.map(td.apply))
-      def rootMeanSquaredError = stat.rootMeanSquaredError(s.map(td.apply))
-
-      def normalize = stat.normalize(s.map(td.apply))
-
-      def absoluteDistance[T2](to: Seq[T2])(implicit td2: ToDouble[T2]) = stat.absoluteDistance(s.map(td.apply), to.map(td2.apply))
-      def squareDistance[T2](to: Seq[T2])(implicit td2: ToDouble[T2]) = stat.squareDistance(s.map(td.apply), to.map(td2.apply))
-      def dynamicTimeWarpingDistance[T2](to: Seq[T2], fast: Boolean = true)(implicit td2: ToDouble[T2]) = stat.dynamicTimeWarpingDistance(s.map(td.apply), to.map(td2.apply))
-    }
-
-    implicit def statisticArrayOfDoubleDecorator[T: ToDouble](s: Array[T]) = new StatisticIterableOfDoubleDecorator(s.toVector)
-  }
-
-}
-
 package object statistics extends StatisticsPackage