(**************************************************************************)
(*                                                                        *)
(*  Copyright (C) Jean-Christophe Filliatre                               *)
(*                                                                        *)
(*  This software is free software; you can redistribute it and/or        *)
(*  modify it under the terms of the GNU Library General Public           *)
(*  described in file LICENSE.                                            *)
(*                                                                        *)
(*  This software is distributed in the hope that it will be useful,      *)
(*  but WITHOUT ANY WARRANTY; without even the implied warranty of        *)
(*  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.                  *)
(*                                                                        *)
(**************************************************************************)

(*i $Id$ i*)

(*s Sets of integers implemented as Patricia trees, following Chris
Okasaki and Andrew Gill's paper {\em Fast Mergeable Integer Maps}
({\tt\small http://www.cs.columbia.edu/\~{}cdo/papers.html\#ml98maps}).
Patricia trees provide faster operations than standard library's
module [Set], and especially very fast [union], [subset], [inter]
and [diff] operations. *)

(*s The idea behind Patricia trees is to build a {\em trie} on the
binary digits of the elements, and to compact the representation
by branching only one the relevant bits (i.e. the ones for which
there is at least on element in each subtree). We implement here
{\em little-endian} Patricia trees: bits are processed from
least-significant to most-significant. The trie is implemented by
the following type [t]. [Empty] stands for the empty trie, and
[Leaf k] for the singleton [k]. (Note that [k] is the actual
element.) [Branch (m,p,l,r)] represents a branching, where [p] is
the prefix (from the root of the trie) and [m] is the branching
bit (a power of 2). [l] and [r] contain the subsets for which the
branching bit is respectively 0 and 1. Invariant: the trees [l]
and [r] are not empty. *)

(*i*)
type elt = int
(*i*)

type t =
| Empty
| Leaf of int
| Branch of int * int * t * t

(*s Example: the representation of the set $\{1,4,5\}$ is
$$\mathtt{Branch~(0,~1,~Leaf~4,~Branch~(1,~4,~Leaf~1,~Leaf~5))}$$
The first branching bit is the bit 0 (and the corresponding prefix
is [0b0], not of use here), with $\{4\}$ on the left and $\{1,5\}$ on the
right. Then the right subtree branches on bit 2 (and so has a branching
value of $2^2 = 4$), with prefix [0b01 = 1]. *)

(*s Empty set and singletons. *)

let empty = Empty

let is_empty = function Empty -> true | _ -> false

let singleton k = Leaf k

(*s Testing the occurrence of a value is similar to the search in a
binary search tree, where the branching bit is used to select the
appropriate subtree. *)

let zero_bit k m = (k land m) == 0

let rec mem k = function
| Empty -> false
| Leaf j -> k == j
| Branch (_, m, l, r) -> mem k (if zero_bit k m then l else r)

let find k s = if mem k s then k else raise Not_found

(*s The following operation [join] will be used in both insertion and
union. Given two non-empty trees [t0] and [t1] with longest common
prefixes [p0] and [p1] respectively, which are supposed to
disagree, it creates the union of [t0] and [t1]. For this, it
computes the first bit [m] where [p0] and [p1] disagree and create
a branching node on that bit. Depending on the value of that bit
in [p0], [t0] will be the left subtree and [t1] the right one, or
the converse. Computing the first branching bit of [p0] and [p1]
uses a nice property of twos-complement representation of integers. *)

let lowest_bit x = x land (-x)

let branching_bit p0 p1 = lowest_bit (p0 lxor p1)

let mask p m = p land (m-1)

let join (p0,t0,p1,t1) =
let m = branching_bit p0 p1 in
if zero_bit p0 m then
Branch (mask p0 m, m, t0, t1)
else
Branch (mask p0 m, m, t1, t0)

(*s Then the insertion of value [k] in set [t] is easily implemented
using [join].  Insertion in a singleton is just the identity or a
call to [join], depending on the value of [k].  When inserting in
a branching tree, we first check if the value to insert [k]
matches the prefix [p]: if not, [join] will take care of creating
the above branching; if so, we just insert [k] in the appropriate
subtree, depending of the branching bit. *)

let match_prefix k p m = (mask k m) == p

let rec ins = function
| Empty -> Leaf k
| Leaf j as t ->
if j == k then t else join (k, Leaf k, j, t)
| Branch (p,m,t0,t1) as t ->
if match_prefix k p m then
if zero_bit k m then
Branch (p, m, ins t0, t1)
else
Branch (p, m, t0, ins t1)
else
join (k, Leaf k, p, t)
in
ins t

let of_list = List.fold_left (fun s x -> add x s) empty

(*s The code to remove an element is basically similar to the code of
insertion. But since we have to maintain the invariant that both
subtrees of a [Branch] node are non-empty, we use here the
smart constructor'' [branch] instead of [Branch]. *)

let branch = function
| (_,_,Empty,t) -> t
| (_,_,t,Empty) -> t
| (p,m,t0,t1)   -> Branch (p,m,t0,t1)

let remove k t =
let rec rmv = function
| Empty -> Empty
| Leaf j as t -> if k == j then Empty else t
| Branch (p,m,t0,t1) as t ->
if match_prefix k p m then
if zero_bit k m then
branch (p, m, rmv t0, t1)
else
branch (p, m, t0, rmv t1)
else
t
in
rmv t

(*s One nice property of Patricia trees is to support a fast union
operation (and also fast subset, difference and intersection
operations). When merging two branching trees we examine the
following four cases: (1) the trees have exactly the same
prefix; (2/3) one prefix contains the other one; and (4) the
prefixes disagree. In cases (1), (2) and (3) the recursion is
immediate; in case (4) the function [join] creates the appropriate
branching.

When comparing branching bits, one has to be careful with the
leftmost bit (which is negative), so we introduce function
[unsigned_lt] below. *)

let unsigned_lt n m = n >= 0 && (m < 0 || n < m)

let rec merge = function
| Empty, t  -> t
| t, Empty  -> t
| Leaf k, t -> add k t
| t, Leaf k -> add k t
| (Branch (p,m,s0,s1) as s), (Branch (q,n,t0,t1) as t) ->
if m == n && match_prefix q p m then
(* The trees have the same prefix. Merge the subtrees. *)
Branch (p, m, merge (s0,t0), merge (s1,t1))
else if unsigned_lt m n && match_prefix q p m then
(* [q] contains [p]. Merge [t] with a subtree of [s]. *)
if zero_bit q m then
Branch (p, m, merge (s0,t), s1)
else
Branch (p, m, s0, merge (s1,t))
else if unsigned_lt n m && match_prefix p q n then
(* [p] contains [q]. Merge [s] with a subtree of [t]. *)
if zero_bit p n then
Branch (q, n, merge (s,t0), t1)
else
Branch (q, n, t0, merge (s,t1))
else
(* The prefixes disagree. *)
join (p, s, q, t)

let union s t = merge (s,t)

(*s When checking if [s1] is a subset of [s2] only two of the above
four cases are relevant: when the prefixes are the same and when the
prefix of [s1] contains the one of [s2], and then the recursion is
obvious. In the other two cases, the result is [false]. *)

let rec subset s1 s2 = match (s1,s2) with
| Empty, _ -> true
| _, Empty -> false
| Leaf k1, _ -> mem k1 s2
| Branch _, Leaf _ -> false
| Branch (p1,m1,l1,r1), Branch (p2,m2,l2,r2) ->
if m1 == m2 && p1 == p2 then
subset l1 l2 && subset r1 r2
else if unsigned_lt m2 m1 && match_prefix p1 p2 m2 then
if zero_bit p1 m2 then
subset l1 l2 && subset r1 l2
else
subset l1 r2 && subset r1 r2
else
false

(*s To compute the intersection and the difference of two sets, we
still examine the same four cases as in [merge]. The recursion is
then obvious. *)

let rec inter s1 s2 = match (s1,s2) with
| Empty, _ -> Empty
| _, Empty -> Empty
| Leaf k1, _ -> if mem k1 s2 then s1 else Empty
| _, Leaf k2 -> if mem k2 s1 then s2 else Empty
| Branch (p1,m1,l1,r1), Branch (p2,m2,l2,r2) ->
if m1 == m2 && p1 == p2 then
merge (inter l1 l2, inter r1 r2)
else if unsigned_lt m1 m2 && match_prefix p2 p1 m1 then
inter (if zero_bit p2 m1 then l1 else r1) s2
else if unsigned_lt m2 m1 && match_prefix p1 p2 m2 then
inter s1 (if zero_bit p1 m2 then l2 else r2)
else
Empty

let rec diff s1 s2 = match (s1,s2) with
| Empty, _ -> Empty
| _, Empty -> s1
| Leaf k1, _ -> if mem k1 s2 then Empty else s1
| _, Leaf k2 -> remove k2 s1
| Branch (p1,m1,l1,r1), Branch (p2,m2,l2,r2) ->
if m1 == m2 && p1 == p2 then
merge (diff l1 l2, diff r1 r2)
else if unsigned_lt m1 m2 && match_prefix p2 p1 m1 then
if zero_bit p2 m1 then
merge (diff l1 s2, r1)
else
merge (l1, diff r1 s2)
else if unsigned_lt m2 m1 && match_prefix p1 p2 m2 then
if zero_bit p1 m2 then diff s1 l2 else diff s1 r2
else
s1

(*s All the following operations ([cardinal], [iter], [fold], [for_all],
[exists], [filter], [partition], [choose], [elements]) are
implemented as for any other kind of binary trees. *)

let rec cardinal = function
| Empty -> 0
| Leaf _ -> 1
| Branch (_,_,t0,t1) -> cardinal t0 + cardinal t1

let rec iter f = function
| Empty -> ()
| Leaf k -> f k
| Branch (_,_,t0,t1) -> iter f t0; iter f t1

let rec fold f s accu = match s with
| Empty -> accu
| Leaf k -> f k accu
| Branch (_,_,t0,t1) -> fold f t0 (fold f t1 accu)

let rec for_all p = function
| Empty -> true
| Leaf k -> p k
| Branch (_,_,t0,t1) -> for_all p t0 && for_all p t1

let rec exists p = function
| Empty -> false
| Leaf k -> p k
| Branch (_,_,t0,t1) -> exists p t0 || exists p t1

let rec filter pr = function
| Empty -> Empty
| Leaf k as t -> if pr k then t else Empty
| Branch (p,m,t0,t1) -> branch (p, m, filter pr t0, filter pr t1)

let partition p s =
let rec part (t,f as acc) = function
| Empty -> acc
| Leaf k -> if p k then (add k t, f) else (t, add k f)
| Branch (_,_,t0,t1) -> part (part acc t0) t1
in
part (Empty, Empty) s

let rec choose = function
| Empty -> raise Not_found
| Leaf k -> k
| Branch (_, _,t0,_) -> choose t0   (* we know that [t0] is non-empty *)

let elements s =
let rec elements_aux acc = function
| Empty -> acc
| Leaf k -> k :: acc
| Branch (_,_,l,r) -> elements_aux (elements_aux acc l) r
in
(* unfortunately there is no easy way to get the elements in ascending
order with little-endian Patricia trees *)
List.sort Pervasives.compare (elements_aux [] s)

let split x s =
let coll k (l, b, r) =
if k < x then add k l, b, r
else if k > x then l, b, add k r
else l, true, r
in
fold coll s (Empty, false, Empty)

(*s There is no way to give an efficient implementation of [min_elt]
and [max_elt], as with binary search trees.  The following
implementation is a traversal of all elements, barely more
efficient than [fold min t (choose t)] (resp. [fold max t (choose
t)]). Note that we use the fact that there is no constructor
[Empty] under [Branch] and therefore always a minimal
(resp. maximal) element there. *)

let rec min_elt = function
| Empty -> raise Not_found
| Leaf k -> k
| Branch (_,_,s,t) -> min (min_elt s) (min_elt t)

let rec max_elt = function
| Empty -> raise Not_found
| Leaf k -> k
| Branch (_,_,s,t) -> max (max_elt s) (max_elt t)

(*s Another nice property of Patricia trees is to be independent of the
order of insertion. As a consequence, two Patricia trees have the
same elements if and only if they are structurally equal. *)

let equal = (=)

let compare = compare

(*i*)
let make l = List.fold_right add l empty
(*i*)

(*s Additional functions w.r.t to [Set.S]. *)

let rec intersect s1 s2 = match (s1,s2) with
| Empty, _ -> false
| _, Empty -> false
| Leaf k1, _ -> mem k1 s2
| _, Leaf k2 -> mem k2 s1
| Branch (p1,m1,l1,r1), Branch (p2,m2,l2,r2) ->
if m1 == m2 && p1 == p2 then
intersect l1 l2 || intersect r1 r2
else if unsigned_lt m1 m2 && match_prefix p2 p1 m1 then
intersect (if zero_bit p2 m1 then l1 else r1) s2
else if unsigned_lt m2 m1 && match_prefix p1 p2 m2 then
intersect s1 (if zero_bit p1 m2 then l2 else r2)
else
false

(*s Big-endian Patricia trees *)

module Big = struct

type elt = int

type t_ = t
type t = t_

let empty = Empty

let is_empty = function Empty -> true | _ -> false

let singleton k = Leaf k

let zero_bit k m = (k land m) == 0

let rec mem k = function
| Empty -> false
| Leaf j -> k == j
| Branch (_, m, l, r) -> mem k (if zero_bit k m then l else r)

let find k s = if mem k s then k else raise Not_found

let mask k m  = (k lor (m-1)) land (lnot m)

(* we first write a naive implementation of [highest_bit]
only has to work for bytes *)
let naive_highest_bit x =
assert (x < 256);
let rec loop i =
if i = 0 then 1 else if x lsr i = 1 then 1 lsl i else loop (i-1)
in
loop 7

(* then we build a table giving the highest bit for bytes *)
let hbit = Array.init 256 naive_highest_bit

(* to determine the highest bit of [x] we split it into bytes *)
let highest_bit_32 x =
let n = x lsr 24 in if n != 0 then hbit.(n) lsl 24
else let n = x lsr 16 in if n != 0 then hbit.(n) lsl 16
else let n = x lsr 8 in if n != 0 then hbit.(n) lsl 8
else hbit.(x)

let highest_bit_64 x =
let n = x lsr 32 in if n != 0 then (highest_bit_32 n) lsl 32
else highest_bit_32 x

let highest_bit = match Sys.word_size with
| 32 -> highest_bit_32
| 64 -> highest_bit_64
| _ -> assert false

let branching_bit p0 p1 = highest_bit (p0 lxor p1)

let join (p0,t0,p1,t1) =
(*i let m = function Branch (_,m,_,_) -> m | _ -> 0 in i*)
let m = branching_bit p0 p1 (*EXP (m t0) (m t1) *) in
if zero_bit p0 m then
Branch (mask p0 m, m, t0, t1)
else
Branch (mask p0 m, m, t1, t0)

let match_prefix k p m = (mask k m) == p

let rec ins = function
| Empty -> Leaf k
| Leaf j as t ->
if j == k then t else join (k, Leaf k, j, t)
| Branch (p,m,t0,t1) as t ->
if match_prefix k p m then
if zero_bit k m then
Branch (p, m, ins t0, t1)
else
Branch (p, m, t0, ins t1)
else
join (k, Leaf k, p, t)
in
ins t

let of_list = List.fold_left (fun s x -> add x s) empty

let remove k t =
let rec rmv = function
| Empty -> Empty
| Leaf j as t -> if k == j then Empty else t
| Branch (p,m,t0,t1) as t ->
if match_prefix k p m then
if zero_bit k m then
branch (p, m, rmv t0, t1)
else
branch (p, m, t0, rmv t1)
else
t
in
rmv t

let rec merge = function
| Empty, t  -> t
| t, Empty  -> t
| Leaf k, t -> add k t
| t, Leaf k -> add k t
| (Branch (p,m,s0,s1) as s), (Branch (q,n,t0,t1) as t) ->
if m == n && match_prefix q p m then
(* The trees have the same prefix. Merge the subtrees. *)
Branch (p, m, merge (s0,t0), merge (s1,t1))
else if unsigned_lt n m && match_prefix q p m then
(* [q] contains [p]. Merge [t] with a subtree of [s]. *)
if zero_bit q m then
Branch (p, m, merge (s0,t), s1)
else
Branch (p, m, s0, merge (s1,t))
else if unsigned_lt m n && match_prefix p q n then
(* [p] contains [q]. Merge [s] with a subtree of [t]. *)
if zero_bit p n then
Branch (q, n, merge (s,t0), t1)
else
Branch (q, n, t0, merge (s,t1))
else
(* The prefixes disagree. *)
join (p, s, q, t)

let union s t = merge (s,t)

let rec subset s1 s2 = match (s1,s2) with
| Empty, _ -> true
| _, Empty -> false
| Leaf k1, _ -> mem k1 s2
| Branch _, Leaf _ -> false
| Branch (p1,m1,l1,r1), Branch (p2,m2,l2,r2) ->
if m1 == m2 && p1 == p2 then
subset l1 l2 && subset r1 r2
else if unsigned_lt m1 m2 && match_prefix p1 p2 m2 then
if zero_bit p1 m2 then
subset l1 l2 && subset r1 l2
else
subset l1 r2 && subset r1 r2
else
false

let rec inter s1 s2 = match (s1,s2) with
| Empty, _ -> Empty
| _, Empty -> Empty
| Leaf k1, _ -> if mem k1 s2 then s1 else Empty
| _, Leaf k2 -> if mem k2 s1 then s2 else Empty
| Branch (p1,m1,l1,r1), Branch (p2,m2,l2,r2) ->
if m1 == m2 && p1 == p2 then
merge (inter l1 l2, inter r1 r2)
else if unsigned_lt m2 m1 && match_prefix p2 p1 m1 then
inter (if zero_bit p2 m1 then l1 else r1) s2
else if unsigned_lt m1 m2 && match_prefix p1 p2 m2 then
inter s1 (if zero_bit p1 m2 then l2 else r2)
else
Empty

let rec diff s1 s2 = match (s1,s2) with
| Empty, _ -> Empty
| _, Empty -> s1
| Leaf k1, _ -> if mem k1 s2 then Empty else s1
| _, Leaf k2 -> remove k2 s1
| Branch (p1,m1,l1,r1), Branch (p2,m2,l2,r2) ->
if m1 == m2 && p1 == p2 then
merge (diff l1 l2, diff r1 r2)
else if unsigned_lt m2 m1 && match_prefix p2 p1 m1 then
if zero_bit p2 m1 then
merge (diff l1 s2, r1)
else
merge (l1, diff r1 s2)
else if unsigned_lt m1 m2 && match_prefix p1 p2 m2 then
if zero_bit p1 m2 then diff s1 l2 else diff s1 r2
else
s1

(* same implementation as for little-endian Patricia trees *)
let cardinal = cardinal
let iter = iter
let fold = fold
let for_all = for_all
let exists = exists
let filter = filter

let partition p s =
let rec part (t,f as acc) = function
| Empty -> acc
| Leaf k -> if p k then (add k t, f) else (t, add k f)
| Branch (_,_,t0,t1) -> part (part acc t0) t1
in
part (Empty, Empty) s

let choose = choose

let elements s =
let rec elements_aux acc = function
| Empty -> acc
| Leaf k -> k :: acc
| Branch (_,_,l,r) -> elements_aux (elements_aux acc r) l
in
(* we still have to sort because of possible negative elements *)
List.sort Pervasives.compare (elements_aux [] s)

let split x s =
let coll k (l, b, r) =
if k < x then add k l, b, r
else if k > x then l, b, add k r
else l, true, r
in
fold coll s (Empty, false, Empty)

(* could be slightly improved (when we now that a branch contains only
positive or only negative integers) *)
let min_elt = min_elt
let max_elt = max_elt

let equal = (=)

let compare = compare

let make l = List.fold_right add l empty

let rec intersect s1 s2 = match (s1,s2) with
| Empty, _ -> false
| _, Empty -> false
| Leaf k1, _ -> mem k1 s2
| _, Leaf k2 -> mem k2 s1
| Branch (p1,m1,l1,r1), Branch (p2,m2,l2,r2) ->
if m1 == m2 && p1 == p2 then
intersect l1 l2 || intersect r1 r2
else if unsigned_lt m2 m1 && match_prefix p2 p1 m1 then
intersect (if zero_bit p2 m1 then l1 else r1) s2
else if unsigned_lt m1 m2 && match_prefix p1 p2 m2 then
intersect s1 (if zero_bit p1 m2 then l2 else r2)
else
false

end

(*s Big-endian Patricia trees with non-negative elements only *)

module BigPos = struct

include Big

let singleton x = if x < 0 then invalid_arg "BigPos.singleton"; singleton x

let of_list = List.fold_left (fun s x -> add x s) empty

(* Patricia trees are now binary search trees! *)

let rec mem k = function
| Empty -> false
| Leaf j -> k == j
| Branch (p, _, l, r) -> if k <= p then mem k l else mem k r

let rec min_elt = function
| Empty -> raise Not_found
| Leaf k -> k
| Branch (_,_,s,_) -> min_elt s

let rec max_elt = function
| Empty -> raise Not_found
| Leaf k -> k
| Branch (_,_,_,t) -> max_elt t

(* we do not have to sort anymore *)
let elements s =
let rec elements_aux acc = function
| Empty -> acc
| Leaf k -> k :: acc
| Branch (_,_,l,r) -> elements_aux (elements_aux acc r) l
in
elements_aux [] s

end

(*s EXPERIMENT: Big-endian Patricia trees with swapped bit sign *)

module Bigo = struct

include Big

(* swaps the sign bit *)
let swap x = if x < 0 then x land max_int else x lor min_int

let mem x s = mem (swap x) s

let of_list = List.fold_left (fun s x -> add x s) empty

let singleton x = singleton (swap x)

let remove x s = remove (swap x) s

let elements s = List.map swap (elements s)

let choose s = swap (choose s)

let iter f = iter (fun x -> f (swap x))

let fold f = fold (fun x a -> f (swap x) a)

let for_all f = for_all (fun x -> f (swap x))

let exists f = exists (fun x -> f (swap x))

let filter f = filter (fun x -> f (swap x))

let partition f = partition (fun x -> f (swap x))

let split x s = split (swap x) s

let rec min_elt = function
| Empty -> raise Not_found
| Leaf k -> swap k
| Branch (_,_,s,_) -> min_elt s

let rec max_elt = function
| Empty -> raise Not_found
| Leaf k -> swap k
| Branch (_,_,_,t) -> max_elt t

end

let test empty add mem =
let seed = Random.int max_int in
Random.init seed;
let s =
let rec loop s i =
if i = 1000 then s else loop (add (Random.int max_int) s) (succ i)
in
loop empty 0
in
Random.init seed;
for i = 0 to 999 do assert (mem (Random.int max_int) s) done



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