Hana 9e216da9ef go.mod: add go.mod and move pygments to third_party
After go1.16, go will use module mode by default,
even when the repository is checked out under GOPATH
or in a one-off directory. Add go.mod, go.sum to keep
this repo buildable without opting out of the module
mode.

> go mod init github.com/mmcgrana/gobyexample
> go mod tidy
> go mod vendor

In module mode, the 'vendor' directory is special
and its contents will be actively maintained by the
go command. pygments aren't the dependency the go will
know about, so it will delete the contents from vendor
directory. Move it to `third_party` directory now.

And, vendor the blackfriday package.

Note: the tutorial contents are not affected by the
change in go1.16 because all the examples in this
tutorial ask users to run the go command with the
explicit list of files to be compiled (e.g.
`go run hello-world.go` or `go build command-line-arguments.go`).
When the source list is provided, the go command does
not have to compute the build list and whether it's
running in GOPATH mode or module mode becomes irrelevant.
2021-02-15 16:45:26 -05:00

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// Koka language test module
// This module implements the GarsiaWachs algorithm.
// It is an adaptation of the algorithm in ML as described by JeanChristophe Filli<6C>tre:
// in ''A functional implementation of the GarsiaWachs algorithm. (functional pearl). ML workshop 2008, pages 91--96''.
// See: http://www.lri.fr/~filliatr/publis/gwWml08.pdf
//
// The algorithm is interesting since it uses mutable references shared between a list and tree but the
// side effects are not observable from outside. Koka automatically infers that the final algorithm is pure.
// Note: due to a current limitation in the divergence analysis, koka cannot yet infer that mutually recursive
// definitions in "insert" and "extract" are terminating and the final algorithm still has a divergence effect.
// However, koka does infer that no other effect (i.e. an exception due to a partial match) can occur.
module garcsiaWachs
import test = qualified std/flags
# pre processor test
public function main() {
wlist = Cons1(('a',3), [('b',2),('c',1),('d',4),('e',5)])
tree = wlist.garsiaWachs()
tree.show.println()
}
//----------------------------------------------------
// Trees
//----------------------------------------------------
public type tree<a> {
con Leaf(value :a)
con Node(left :tree<a>, right :tree<a>)
}
function show( t : tree<char> ) : string {
match(t) {
Leaf(c) -> core/show(c)
Node(l,r) -> "Node(" + show(l) + "," + show(r) + ")"
}
}
//----------------------------------------------------
// Non empty lists
//----------------------------------------------------
public type list1<a> {
Cons1( head : a, tail : list<a> )
}
function map( xs, f ) {
val Cons1(y,ys) = xs
return Cons1(f(y), core/map(ys,f))
}
function zip( xs :list1<a>, ys :list1<b> ) : list1<(a,b)> {
Cons1( (xs.head, ys.head), zip(xs.tail, ys.tail))
}
//----------------------------------------------------
// Phase 1
//----------------------------------------------------
function insert( after : list<(tree<a>,int)>, t : (tree<a>,int), before : list<(tree<a>,int)> ) : div tree<a>
{
match(before) {
Nil -> extract( [], Cons1(t,after) )
Cons(x,xs) -> {
if (x.snd < t.snd) then return insert( Cons(x,after), t, xs )
match(xs) {
Nil -> extract( [], Cons1(x,Cons(t,after)) )
Cons(y,ys) -> extract( ys, Cons1(y,Cons(x,Cons(t,after))) )
}
}
}
}
function extract( before : list<(tree<a>,int)>, after : list1<(tree<a>,int)> ) : div tree<a>
{
val Cons1((t1,w1) as x, xs ) = after
match(xs) {
Nil -> t1
Cons((t2,w2) as y, ys) -> match(ys) {
Nil -> insert( [], (Node(t1,t2), w1+w2), before )
Cons((_,w3),_zs) ->
if (w1 <= w3)
then insert(ys, (Node(t1,t2), w1+w2), before)
else extract(Cons(x,before), Cons1(y,ys))
}
}
}
function balance( xs : list1<(tree<a>,int)> ) : div tree<a> {
extract( [], xs )
}
//----------------------------------------------------
// Phase 2
//----------------------------------------------------
function mark( depth :int, t :tree<(a,ref<h,int>)> ) : <write<h>> () {
match(t) {
Leaf((_,d)) -> d := depth
Node(l,r) -> { mark(depth+1,l); mark(depth+1,r) }
}
}
function build( depth :int, xs :list1<(a,ref<h,int>)> ) : <read<h>,div> (tree<a>,list<(a,ref<h,int>)>)
{
if (!(xs.head.snd) == depth) return (Leaf(xs.head.fst), xs.tail)
l = build(depth+1, xs)
match(l.snd) {
Nil -> (l.fst, Nil)
Cons(y,ys) -> {
r = build(depth+1, Cons1(y,ys))
(Node(l.fst,r.fst), r.snd)
}
}
}
//----------------------------------------------------
// Main
//----------------------------------------------------
public function garsiaWachs( xs : list1<(a,int)> ) : div tree<a>
{
refs = xs.map(fst).map( fun(x) { (x, ref(0)) } )
wleafs = zip( refs.map(Leaf), xs.map(snd) )
tree = balance(wleafs)
mark(0,tree)
build(0,refs).fst
}