Clean implementation of sorts for scala.util.Sorting.

Removed code based on Sun JDK sorts and implemented new (basic) sorts from
scratch.  Deferred to Java Arrays.sort whenever practical.  Behavior of
`scala.util.Sorting` should be unchanged, but changed documentation to
specify when the Java methods are being used (as they're typically very fast).

A JUnit test is provided.

Performance is important for sorts.  Everything is better with this patch,
though it could be better yet, as described below.

Below are sort times (in microseconds, SEM < 5%) for various 1024-element
arrays of small case classes that compare on an int field (quickSort), or
int arrays that use custom ordering (stableSort).  Note: "degenerate"
means there are only 16 values possible, so there are lots of ties.
Times are all with fresh data (no re-using cache from run to run).

Results:

```
                        random  sorted  reverse  degenerate  big:64k  tiny:16
Old Sorting.quickSort     234     181      178         103    25,700      1.4
New Sorting.quickSort     170      27      115          74    18,600      0.8

Old Sorting.stableSort    321     234      236         282    32,600      2.1
New Sorting.stableSort    239      16      194         194    25,100      1.2

java.util.Arrays.sort     124       4        8         105    13,500      0.8
java.util.Arrays.sort|Box 126      15       13         112    13,200      0.9
```

The new versions are uniformly faster, but uniformly slower than Java sorting.  scala.util.Sorting has use cases that don't map easily in to Java unless everything is pre-boxed, but the overhead of pre-boxing is minimal compared to the sort.

A snapshot of some of my benchmarking code is below.

(Yes, lots of repeating myself--it's dangerous not to when trying to get
somewhat accurate benchmarks.)

```
import java.util.Arrays
import java.util.Comparator
import math.Ordering
import util.Sorting
import reflect.ClassTag

val th = ichi.bench.Thyme.warmed()

case class N(i: Int, j: Int) {}
val a = Array.fill(1024)( Array.tabulate(1024)(i => N(util.Random.nextInt, i)) )
var ai = 0
val b = Array.fill(1024)( Array.tabulate(1024)(i => N(i, i)) )
var bi = 0
val c = Array.fill(1024)( Array.tabulate(1024)(i => N(1024-i, i)) )
var ci = 0
val d = Array.fill(1024)( Array.tabulate(1024)(i => N(util.Random.nextInt(16), i)) )
var di = 0
val e = Array.fill(16)( Array.tabulate(65536)(i => N(util.Random.nextInt, i)) )
var ei = 0
val f = Array.fill(65535)( Array.tabulate(16)(i => N(util.Random.nextInt, i)) )
var fi = 0

val o = new Ordering[N]{ def compare(a: N, b: N) = if (a.i < b.i) -1 else if (a.i > b.i) 1 else 0 }
for (s <- Seq("one", "two", "three")) {
  println(s)
  th.pbench{ val x = a(ai).clone; ai = (ai+1)%a.length; Sorting.quickSort(x)(o); x(x.length/3) }
  th.pbench{ val x = b(bi).clone; bi = (bi+1)%b.length; Sorting.quickSort(x)(o); x(x.length/3) }
  th.pbench{ val x = c(ci).clone; ci = (ci+1)%c.length; Sorting.quickSort(x)(o); x(x.length/3) }
  th.pbench{ val x = d(di).clone; di = (di+1)%d.length; Sorting.quickSort(x)(o); x(x.length/3) }
  th.pbench{ val x = e(ei).clone; ei = (ei+1)%e.length; Sorting.quickSort(x)(o); x(x.length/3) }
  th.pbench{ val x = f(fi).clone; fi = (fi+1)%f.length; Sorting.quickSort(x)(o); x(x.length/3) }
}

def ix(ns: Array[N]) = {
  val is = new Array[Int](ns.length)
  var i = 0
  while (i < ns.length) {
    is(i) = ns(i).i
    i += 1
  }
  is
}
val p = new Ordering[Int]{ def compare(a: Int, b: Int) = if (a > b) 1 else if (a < b) -1 else 0 }
for (s <- Seq("one", "two", "three")) {
  println(s)
  val tag: ClassTag[Int] = implicitly[ClassTag[Int]]
  th.pbench{ val x = ix(a(ai)); ai = (ai+1)%a.length; Sorting.stableSort(x)(tag, p); x(x.length/3) }
  th.pbench{ val x = ix(b(bi)); bi = (bi+1)%b.length; Sorting.stableSort(x)(tag, p); x(x.length/3) }
  th.pbench{ val x = ix(c(ci)); ci = (ci+1)%c.length; Sorting.stableSort(x)(tag, p); x(x.length/3) }
  th.pbench{ val x = ix(d(di)); di = (di+1)%d.length; Sorting.stableSort(x)(tag, p); x(x.length/3) }
  th.pbench{ val x = ix(e(ei)); ei = (ei+1)%e.length; Sorting.stableSort(x)(tag, p); x(x.length/3) }
  th.pbench{ val x = ix(f(fi)); fi = (fi+1)%f.length; Sorting.stableSort(x)(tag, p); x(x.length/3) }
}

for (s <- Seq("one", "two", "three")) {
  println(s)
  th.pbench{ val x = a(ai).clone; ai = (ai+1)%a.length; Arrays.sort(x, o); x(x.length/3) }
  th.pbench{ val x = b(bi).clone; bi = (bi+1)%b.length; Arrays.sort(x, o); x(x.length/3) }
  th.pbench{ val x = c(ci).clone; ci = (ci+1)%c.length; Arrays.sort(x, o); x(x.length/3) }
  th.pbench{ val x = d(di).clone; di = (di+1)%d.length; Arrays.sort(x, o); x(x.length/3) }
  th.pbench{ val x = e(ei).clone; ei = (ei+1)%e.length; Arrays.sort(x, o); x(x.length/3) }
  th.pbench{ val x = f(fi).clone; fi = (fi+1)%f.length; Arrays.sort(x, o); x(x.length/3) }
}

def bx(is: Array[Int]): Array[java.lang.Integer] = {
  val Is = new Array[java.lang.Integer](is.length)
  var i = 0
  while (i < is.length) {
    Is(i) = java.lang.Integer.valueOf(is(i))
    i += 1
  }
  Is
}
def xb(Is: Array[java.lang.Integer]): Array[Int] = {
  val is = new Array[Int](Is.length)
  var i = 0
  while (i < is.length) {
    is(i) = Is(i).intValue
    i += 1
  }
  is
}
val q = new Comparator[java.lang.Integer]{
  def compare(a: java.lang.Integer, b: java.lang.Integer) = o.compare(a.intValue, b.intValue)
}
for (s <- Seq("one", "two", "three")) {
  println(s)
  val tag: ClassTag[Int] = implicitly[ClassTag[Int]]
  th.pbench{ val x = bx(ix(a(ai))); ai = (ai+1)%a.length; Arrays.sort(x, q); xb(x)(x.length/3) }
  th.pbench{ val x = bx(ix(b(bi))); bi = (bi+1)%b.length; Arrays.sort(x, q); xb(x)(x.length/3) }
  th.pbench{ val x = bx(ix(c(ci))); ci = (ci+1)%c.length; Arrays.sort(x, q); xb(x)(x.length/3) }
  th.pbench{ val x = bx(ix(d(di))); di = (di+1)%d.length; Arrays.sort(x, q); xb(x)(x.length/3) }
  th.pbench{ val x = bx(ix(e(ei))); ei = (ei+1)%e.length; Arrays.sort(x, q); xb(x)(x.length/3) }
  th.pbench{ val x = bx(ix(f(fi))); fi = (fi+1)%f.length; Arrays.sort(x, q); xb(x)(x.length/3) }
}
```

Author: Ichoran

bincompat-forward.whitelist.conf

@@ -319,6 +319,59 @@ filter {
     {
         matchName="scala.util.Random.scala$util$Random$$nextAlphaNum$1"
         problemName=MissingMethodProblem
+    },
+    // Nominally private but in practice JVM-visible methods for reworked scala.util.Sorting
+    {
+        matchName="scala.util.Sorting.scala$util$Sorting$$mergeSort$default$5"
+        problemName=MissingMethodProblem
+    },
+    {
+        matchName="scala.util.Sorting.scala$util$Sorting$$mergeSort$mBc$sp"
+        problemName=MissingMethodProblem
+    },
+    {
+        matchName="scala.util.Sorting.scala$util$Sorting$$mergeSort$mFc$sp"
+        problemName=MissingMethodProblem
+    },
+    {
+        matchName="scala.util.Sorting.scala$util$Sorting$$mergeSort$mJc$sp"
+        problemName=MissingMethodProblem
+    },
+    {
+        matchName="scala.util.Sorting.scala$util$Sorting$$mergeSort"
+        problemName=MissingMethodProblem
+    },
+    {
+        matchName="scala.util.Sorting.scala$util$Sorting$$mergeSort$mCc$sp"
+        problemName=MissingMethodProblem
+    },
+    {
+        matchName="scala.util.Sorting.scala$util$Sorting$$mergeSort$mSc$sp"
+        problemName=MissingMethodProblem
+    },
+    {
+        matchName="scala.util.Sorting.scala$util$Sorting$$insertionSort"
+        problemName=MissingMethodProblem
+    },
+    {
+        matchName="scala.util.Sorting.scala$util$Sorting$$mergeSort$mZc$sp"
+        problemName=MissingMethodProblem
+    },
+    {
+        matchName="scala.util.Sorting.scala$util$Sorting$$mergeSort$mDc$sp"
+        problemName=MissingMethodProblem
+    },
+    {
+        matchName="scala.util.Sorting.scala$util$Sorting$$mergeSort$mIc$sp"
+        problemName=MissingMethodProblem
+    },
+    {
+        matchName="scala.util.Sorting.scala$util$Sorting$$mergeSorted"
+        problemName=MissingMethodProblem
+    },
+    {
+        matchName="scala.util.Sorting.scala$util$Sorting$$booleanSort"
+        problemName=MissingMethodProblem
     }
   ]
 }