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  implicit def opMulMatrix_DM_DV_Semiring[T:Semiring:ClassTag:DefaultArrayValue]:OpMulMatrix.Impl2[DenseMatrix[T], DenseVector[T], DenseVector[T]] = new OpMulMatrix.Impl2[DenseMatrix[T], DenseVector[T], DenseVector[T]] {
    implicit val ring = implicitly[Semiring[T]]
    override def apply(a: DenseMatrix[T], b: DenseVector[T]) = {
      require(a.cols == b.length)
      val res = DenseVector.zeros[T](a.rows)
      var c = 0
      while(c < a.cols) {
        var r = 0
        while (r < a.rows) {
          val v = a(r, c)

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  @expand
  @expand.exclude(Complex, OpMod)
  @expand.exclude(BigInt, OpPow)
  @expand.valify
  implicit def dv_dv_Op[@expand.args(Int, Double, Float, Long, BigInt, Complex) T,
  @expand.args(OpAdd, OpSub, OpMulScalar, OpDiv, OpSet, OpMod, OpPow) Op <: OpType]
  (implicit @expand.sequence[Op]({_ + _},  {_ - _}, {_ * _}, {_ / _}, {(a,b) => b}, {_ % _}, {_ pow _})
  op: BinaryOp[T, T, Op, T]):BinaryOp[DenseVector[T], DenseVector[T], Op, DenseVector[T]] = {
    new BinaryOp[DenseVector[T], DenseVector[T], Op, DenseVector[T]] {
      def apply(a: DenseVector[T], b: DenseVector[T]): DenseVector[T] = {

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#
# A fatal error has been detected by the Java Runtime Environment:
#
#  SIGSEGV (0xb) at pc=0x00007f387a5541d8, pid=23871, tid=139880111486720
#
# JRE version: 7.0_05-b06
# Java VM: Java HotSpot(TM) 64-Bit Server VM (23.1-b03 mixed mode linux-amd64 compressed oops)
# Problematic frame:
# V  [libjvm.so+0x5741d8]  jni_GetPrimitiveArrayCritical+0xc8
#

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class DiagMatrix[Vec, S](val diagonalVector: Vec)(implicit evidence: Vec <:< Vector[S]) extends Matrix [S]

(The evidence implicit is because you can't write class DiagMatrix[Vec <: Vector[S], S] and expect it to work. Why? because it's apparently too hard to implement.) You would probably want type aliases like

type DenseDiagMatrix[S] = DiagMatrix[DenseVector[S], S]

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mkdir -p ~/.sbt/plugins/ && cat "

resolvers += "sbt-idea-repo" at "http://mpeltonen.github.com/maven/"

addSbtPlugin("com.github.mpeltonen" % "sbt-idea" % "1.1.0")
" >> ~/.sbt/plugins/build.sbt

mkdir ~/bin/

echo 'java -Xms512M -Xmx1G -Xss1M -XX:+CMSClassUnloadingEnabled -XX:MaxPermSize=384M -jar `dirname $0`/sbt-launch.jar "$@"' > ~/bin/sbt

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trait Enable[T] {
  def get: T
}

trait EnableLowPriority {
  implicit val eager = new Enable[Eager]{def get = new Eager}
}

object Enable extends EnableLowPriority {
  object Lazy {

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val f = Figure()
val plot = f.plot(0)


// Option A
plot.hold = true
plot.scatter(...)
plot.scatter(...)
f.visible = true
plot.hold = false

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--- a/src/library/scala/collection/mutable/HashTable.scala
+++ b/src/library/scala/collection/mutable/HashTable.scala
@@ -366,7 +366,7 @@ private[collection] object HashTable {
 
   private[collection] final def newThreshold(_loadFactor: Int, size: Int) = ((size.toLong * _loadFactor) / loadFactorDenum).toInt
 
-  private[collection] final def sizeForThreshold(_loadFactor: Int, thr: Int) = thr * loadFactorDenum / _loadFactor
+  private[collection] final def sizeForThreshold(_loadFactor: Int, thr: Int) = ((thr.toLong * loadFactorDenum) / _loadFactor).toInt
 
   private[collection] final def capacity(expectedSize: Int) = if (expectedSize == 0) 1 else powerOfTwo(expectedSize)

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import scalanlp.optimize.FirstOrderMinimizer.OptParams
import scalanlp.config.{GenerateHelp, CommandLineParser}
import collection.mutable.ArrayBuffer
import io.Source
import collection.immutable.BitSet
import scalanlp.util.{Iterators, Index}
import java.io._
import scalala.tensor.dense.DenseVector
import scalanlp.optimize.{CachedBatchDiffFunction, BatchDiffFunction, DiffFunction}

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nw/wsj/00/wsj_0020          0          1       U.S.        NNP         *)          -          -          -          -      (GPE)          *         *)          *          *          *        11)
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nw/wsj/00/wsj_0020          0          5    su