1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
|
(************************************************************************)
(* v * The Coq Proof Assistant / The Coq Development Team *)
(* <O___,, * INRIA - CNRS - LIX - LRI - PPS - Copyright 1999-2017 *)
(* \VV/ **************************************************************)
(* // * This file is distributed under the terms of the *)
(* * GNU Lesser General Public License Version 2.1 *)
(************************************************************************)
(** Adapted from Damien Doligez, projet Para, INRIA Rocquencourt,
OCaml stdlib. *)
(** The following functor is a specialized version of [Weak.Make].
Here, the responsibility of computing the hash function is now
given to the caller, which makes possible the interleaving of the
hash key computation and the hash-consing. *)
module type EqType = sig
type t
val eq : t -> t -> bool
end
type statistics = {
num_bindings: int;
num_buckets: int;
max_bucket_length: int;
bucket_histogram: int array
}
module type S = sig
type elt
type t
val create : int -> t
val clear : t -> unit
val repr : int -> elt -> t -> elt
val stats : t -> statistics
end
module Make (E : EqType) =
struct
type elt = E.t
let emptybucket = Weak.create 0
type t = {
mutable table : elt Weak.t array;
mutable hashes : int array array;
mutable limit : int; (* bucket size limit *)
mutable oversize : int; (* number of oversize buckets *)
mutable rover : int; (* for internal bookkeeping *)
}
let get_index t h = (h land max_int) mod (Array.length t.table)
let limit = 7
let over_limit = 2
let create sz =
let sz = if sz < 7 then 7 else sz in
let sz = if sz > Sys.max_array_length then Sys.max_array_length else sz in
{
table = Array.make sz emptybucket;
hashes = Array.make sz [| |];
limit = limit;
oversize = 0;
rover = 0;
}
let clear t =
for i = 0 to Array.length t.table - 1 do
t.table.(i) <- emptybucket;
t.hashes.(i) <- [| |];
done;
t.limit <- limit;
t.oversize <- 0
let iter_weak f t =
let rec iter_bucket i j b =
if i >= Weak.length b then () else
match Weak.check b i with
| true -> f b t.hashes.(j) i; iter_bucket (i+1) j b
| false -> iter_bucket (i+1) j b
in
for i = 0 to pred (Array.length t.table) do
iter_bucket 0 i (Array.unsafe_get t.table i)
done
let rec count_bucket i b accu =
if i >= Weak.length b then accu else
count_bucket (i+1) b (accu + (if Weak.check b i then 1 else 0))
let min x y = if x - y < 0 then x else y
let next_sz n = min (3 * n / 2 + 3) Sys.max_array_length
let prev_sz n = ((n - 3) * 2 + 2) / 3
let test_shrink_bucket t =
let bucket = t.table.(t.rover) in
let hbucket = t.hashes.(t.rover) in
let len = Weak.length bucket in
let prev_len = prev_sz len in
let live = count_bucket 0 bucket 0 in
if live <= prev_len then begin
let rec loop i j =
if j >= prev_len then begin
if Weak.check bucket i then loop (i + 1) j
else if Weak.check bucket j then begin
Weak.blit bucket j bucket i 1;
hbucket.(i) <- hbucket.(j);
loop (i + 1) (j - 1);
end else loop i (j - 1);
end;
in
loop 0 (Weak.length bucket - 1);
if prev_len = 0 then begin
t.table.(t.rover) <- emptybucket;
t.hashes.(t.rover) <- [| |];
end else begin
Obj.truncate (Obj.repr bucket) (prev_len + 1);
Obj.truncate (Obj.repr hbucket) prev_len;
end;
if len > t.limit && prev_len <= t.limit then t.oversize <- t.oversize - 1;
end;
t.rover <- (t.rover + 1) mod (Array.length t.table)
let rec resize t =
let oldlen = Array.length t.table in
let newlen = next_sz oldlen in
if newlen > oldlen then begin
let newt = create newlen in
let add_weak ob oh oi =
let setter nb ni _ = Weak.blit ob oi nb ni 1 in
let h = oh.(oi) in
add_aux newt setter None h (get_index newt h);
in
iter_weak add_weak t;
t.table <- newt.table;
t.hashes <- newt.hashes;
t.limit <- newt.limit;
t.oversize <- newt.oversize;
t.rover <- t.rover mod Array.length newt.table;
end else begin
t.limit <- max_int; (* maximum size already reached *)
t.oversize <- 0;
end
and add_aux t setter d h index =
let bucket = t.table.(index) in
let hashes = t.hashes.(index) in
let sz = Weak.length bucket in
let rec loop i =
if i >= sz then begin
let newsz = min (3 * sz / 2 + 3) (Sys.max_array_length - 1) in
if newsz <= sz then failwith "Weak.Make: hash bucket cannot grow more";
let newbucket = Weak.create newsz in
let newhashes = Array.make newsz 0 in
Weak.blit bucket 0 newbucket 0 sz;
Array.blit hashes 0 newhashes 0 sz;
setter newbucket sz d;
newhashes.(sz) <- h;
t.table.(index) <- newbucket;
t.hashes.(index) <- newhashes;
if sz <= t.limit && newsz > t.limit then begin
t.oversize <- t.oversize + 1;
for _i = 0 to over_limit do test_shrink_bucket t done;
end;
if t.oversize > Array.length t.table / over_limit then resize t
end else if Weak.check bucket i then begin
loop (i + 1)
end else begin
setter bucket i d;
hashes.(i) <- h
end
in
loop 0
let find_or h t d ifnotfound =
let index = get_index t h in
let bucket = t.table.(index) in
let hashes = t.hashes.(index) in
let sz = Weak.length bucket in
let rec loop i =
if i >= sz then ifnotfound index
else if Int.equal h hashes.(i) then begin
match Weak.get bucket i with
| Some v when E.eq v d -> v
| _ -> loop (i + 1)
end else loop (i + 1)
in
loop 0
let repr h d t =
let ifnotfound index = add_aux t Weak.set (Some d) h index; d in
find_or h t d ifnotfound
let stats t =
let fold accu bucket = max (count_bucket 0 bucket 0) accu in
let max_length = Array.fold_left fold 0 t.table in
let histogram = Array.make (max_length + 1) 0 in
let iter bucket =
let len = count_bucket 0 bucket 0 in
histogram.(len) <- succ histogram.(len)
in
let () = Array.iter iter t.table in
let fold (num, len, i) k = (num + k * i, len + k, succ i) in
let (num, len, _) = Array.fold_left fold (0, 0, 0) histogram in
{
num_bindings = num;
num_buckets = len;
max_bucket_length = Array.length histogram;
bucket_histogram = histogram;
}
end
module Combine = struct
(* These are helper functions to combine the hash keys in a similar
way as [Hashtbl.hash] does. The constants [alpha] and [beta] must
be prime numbers. There were chosen empirically. Notice that the
problem of hashing trees is hard and there are plenty of study on
this topic. Therefore, there must be room for improvement here. *)
let alpha = 65599
let beta = 7
let combine x y = x * alpha + y
let combine3 x y z = combine x (combine y z)
let combine4 x y z t = combine x (combine3 y z t)
let combine5 x y z t u = combine x (combine4 y z t u)
let combinesmall x y = beta * x + y
end
|