11 #include "patternsp.h"
13 /* Mapping from point sequence to coordinate offsets (to determine
14 * coordinates relative to pattern center). The array is ordered
15 * in the gridcular metric order so that we can go through it
16 * and incrementally match spatial features in nested circles.
17 * Within one circle, coordinates are ordered by rows to keep
18 * good cache behavior. */
19 struct ptcoord ptcoords
[MAX_PATTERN_AREA
];
21 /* For each radius, starting index in ptcoords[]. */
22 int ptind
[MAX_PATTERN_DIST
+ 2];
24 /* ptcoords[], ptind[] setup */
28 int i
= 0; /* Indexing ptcoords[] */
30 /* First, center point. */
31 ptind
[0] = ptind
[1] = 0;
32 ptcoords
[i
].x
= ptcoords
[i
].y
= 0; i
++;
34 for (int d
= 2; d
<= MAX_PATTERN_DIST
; d
++) {
36 /* For each y, examine all integer solutions
37 * of d = |x| + |y| + max(|x|, |y|). */
38 /* TODO: (Stern, 2006) uses a hand-modified
39 * circles that are finer for small d and more
40 * coarse for large d. */
41 for (short y
= d
/ 2; y
>= 0; y
--) {
44 /* max(|x|, |y|) = |y|, non-zero x */
46 if (x
+ y
* 2 != d
) continue;
48 /* max(|x|, |y|) = |x| */
49 /* Or, max(|x|, |y|) = |y| and x is zero */
51 if (x
* 2 + y
!= d
) continue;
54 assert((x
> y
? x
: y
) + x
+ y
== d
);
56 ptcoords
[i
].x
= x
; ptcoords
[i
].y
= y
; i
++;
57 if (x
!= 0) { ptcoords
[i
].x
= -x
; ptcoords
[i
].y
= y
; i
++; }
58 if (y
!= 0) { ptcoords
[i
].x
= x
; ptcoords
[i
].y
= -y
; i
++; }
59 if (x
!= 0 && y
!= 0) { ptcoords
[i
].x
= -x
; ptcoords
[i
].y
= -y
; i
++; }
62 ptind
[MAX_PATTERN_DIST
+ 1] = i
;
65 for (int d
= 0; d
<= MAX_PATTERN_DIST
; d
++) {
66 fprintf(stderr
, "d=%d (%d) ", d
, ptind
[d
]);
67 for (int j
= ptind
[d
]; j
< ptind
[d
+ 1]; j
++) {
68 fprintf(stderr
, "%d,%d ", ptcoords
[j
].x
, ptcoords
[j
].y
);
70 fprintf(stderr
, "\n");
76 /* Zobrist hashes used for points in patterns. */
77 hash_t pthashes
[PTH__ROTATIONS
][MAX_PATTERN_AREA
][S_MAX
];
82 /* We need fixed hashes for all pattern-relative in
83 * all pattern users! This is a simple way to generate
84 * hopefully good ones. Park-Miller powa. :) */
86 /* We create a virtual board (centered at the sequence start),
87 * plant the hashes there, then pick them up into the sequence
88 * with correct coordinates. It would be possible to generate
89 * the sequence point hashes directly, but the rotations would
90 * make for enormous headaches. */
91 #define PATTERN_BOARD_SIZE ((MAX_PATTERN_DIST + 1) * (MAX_PATTERN_DIST + 1))
92 hash_t pthboard
[PATTERN_BOARD_SIZE
][4];
93 int pthbc
= PATTERN_BOARD_SIZE
/ 2; // tengen coord
95 /* The magic numbers are tuned for minimal collisions. */
96 hash_t h1
= 0xd6d6d6d1;
97 hash_t h2
= 0xd6d6d6d2;
98 hash_t h3
= 0xd6d6d6d3;
99 hash_t h4
= 0xd6d6d6d4;
100 for (int i
= 0; i
< PATTERN_BOARD_SIZE
; i
++) {
101 pthboard
[i
][S_NONE
] = (h1
= h1
* 16787);
102 pthboard
[i
][S_BLACK
] = (h2
= h2
* 16823);
103 pthboard
[i
][S_WHITE
] = (h3
= h3
* 16811 - 13);
104 pthboard
[i
][S_OFFBOARD
] = (h4
= h4
* 16811);
107 /* Virtual board with hashes created, now fill
108 * pthashes[] with hashes for points in actual
109 * sequences, also considering various rotations. */
110 #define PTH_VMIRROR 1
111 #define PTH_HMIRROR 2
113 for (int r
= 0; r
< PTH__ROTATIONS
; r
++) {
114 for (int i
= 0; i
< MAX_PATTERN_AREA
; i
++) {
115 /* Rotate appropriately. */
116 int rx
= ptcoords
[i
].x
;
117 int ry
= ptcoords
[i
].y
;
118 if (r
& PTH_VMIRROR
) ry
= -ry
;
119 if (r
& PTH_HMIRROR
) rx
= -rx
;
121 int rs
= rx
; rx
= -ry
; ry
= rs
;
123 int bi
= pthbc
+ ry
* (MAX_PATTERN_DIST
+ 1) + rx
;
126 pthashes
[r
][i
][S_NONE
] = pthboard
[bi
][S_NONE
];
127 pthashes
[r
][i
][S_BLACK
] = pthboard
[bi
][S_BLACK
];
128 pthashes
[r
][i
][S_WHITE
] = pthboard
[bi
][S_WHITE
];
129 pthashes
[r
][i
][S_OFFBOARD
] = pthboard
[bi
][S_OFFBOARD
];
134 static void __attribute__((constructor
))
137 /* Initialization of various static data structures for
138 * fast pattern processing. */
144 spatial_hash(int rotation
, struct spatial
*s
)
147 for (int i
= 0; i
< ptind
[s
->dist
+ 1]; i
++) {
148 h
^= pthashes
[rotation
][i
][spatial_point_at(*s
, i
)];
150 return h
& spatial_hash_mask
;
154 spatial2str(struct spatial
*s
)
156 static char buf
[1024];
157 for (int i
= 0; i
< ptind
[s
->dist
+ 1]; i
++) {
158 buf
[i
] = stone2char(spatial_point_at(*s
, i
));
160 buf
[ptind
[s
->dist
+ 1]] = 0;
165 spatial_from_board(struct pattern_config
*pc
, struct spatial
*s
,
166 struct board
*b
, struct move
*m
)
168 assert(pc
->spat_min
> 0);
170 /* We record all spatial patterns black-to-play; simply
171 * reverse all colors if we are white-to-play. */
172 static enum stone bt_black
[4] = { S_NONE
, S_BLACK
, S_WHITE
, S_OFFBOARD
};
173 static enum stone bt_white
[4] = { S_NONE
, S_WHITE
, S_BLACK
, S_OFFBOARD
};
174 enum stone (*bt
)[4] = m
->color
== S_WHITE
? &bt_white
: &bt_black
;
176 memset(s
, 0, sizeof(*s
));
177 for (int j
= 0; j
< ptind
[pc
->spat_max
+ 1]; j
++) {
178 ptcoords_at(x
, y
, m
->coord
, b
, j
);
179 s
->points
[j
/ 4] |= (*bt
)[board_atxy(b
, x
, y
)] << ((j
% 4) * 2);
181 s
->dist
= pc
->spat_max
;
184 /* Compare two spatials, allowing for differences up to isomorphism.
185 * True means the spatials are equivalent. */
187 spatial_cmp(struct spatial
*s1
, struct spatial
*s2
)
189 /* Quick preliminary check. */
190 if (s1
->dist
!= s2
->dist
)
193 /* We could create complex transposition tables, but it seems most
194 * foolproof to just check if the sets of rotation hashes are the
196 hash_t s1r
[PTH__ROTATIONS
];
197 for (int r
= 0; r
< PTH__ROTATIONS
; r
++)
198 s1r
[r
] = spatial_hash(r
, s1
);
199 for (int r
= 0; r
< PTH__ROTATIONS
; r
++) {
200 hash_t s2r
= spatial_hash(r
, s2
);
201 for (int p
= 0; p
< PTH__ROTATIONS
; p
++)
204 /* Rotation hash s2r does not correspond to s1r. */
209 /* All rotation hashes of s2 occur in s1. Hopefully that
210 * indicates something. */
215 /* Spatial dict manipulation. */
218 spatial_dict_addc(struct spatial_dict
*dict
, struct spatial
*s
)
220 /* Allocate space in 1024 blocks. */
221 #define SPATIALS_ALLOC 1024
222 if (!(dict
->nspatials
% SPATIALS_ALLOC
)) {
223 dict
->spatials
= realloc(dict
->spatials
,
224 (dict
->nspatials
+ SPATIALS_ALLOC
)
225 * sizeof(*dict
->spatials
));
227 dict
->spatials
[dict
->nspatials
] = *s
;
228 return dict
->nspatials
++;
232 spatial_dict_addh(struct spatial_dict
*dict
, hash_t hash
, unsigned int id
)
234 if (dict
->hash
[hash
]) {
235 if (dict
->hash
[hash
] != id
)
240 dict
->hash
[hash
] = id
;
244 /* Spatial dictionary file format:
246 * INDEX RADIUS STONES HASH...
247 * INDEX: index in the spatial table
248 * RADIUS: @d of the pattern
249 * STONES: string of ".XO#" chars
250 * HASH...: space-separated 18bit hash-table indices for the pattern */
253 spatial_dict_read(struct spatial_dict
*dict
, char *buf
, bool hash
)
255 /* XXX: We trust the data. Bad data will crash us. */
258 unsigned int index
, radius
;
259 index
= strtoul(bufp
, &bufp
, 10);
260 radius
= strtoul(bufp
, &bufp
, 10);
261 while (isspace(*bufp
)) bufp
++;
263 /* Load the stone configuration. */
264 struct spatial s
= { .dist
= radius
};
266 while (!isspace(*bufp
)) {
267 s
.points
[sl
/ 4] |= char2stone(*bufp
++) << ((sl
% 4)*2);
270 while (isspace(*bufp
)) bufp
++;
273 if (sl
!= ptind
[s
.dist
+ 1]) {
274 fprintf(stderr
, "Spatial dictionary: Invalid number of stones (%d != %d) on this line: %s\n",
275 sl
, ptind
[radius
+ 1] - 1, buf
);
279 /* Add to collection. */
280 unsigned int id
= spatial_dict_addc(dict
, &s
);
283 /* Add to specified hash places. */
285 for (int r
= 0; r
< PTH__ROTATIONS
; r
++)
286 spatial_dict_addh(dict
, spatial_hash(r
, &s
), id
);
290 spatial_write(struct spatial_dict
*dict
, struct spatial
*s
, int id
, FILE *f
)
292 fprintf(f
, "%d %d ", id
, s
->dist
);
293 fputs(spatial2str(s
), f
);
294 for (int r
= 0; r
< PTH__ROTATIONS
; r
++) {
295 hash_t rhash
= spatial_hash(r
, s
);
296 int id2
= dict
->hash
[rhash
];
298 /* This hash does not belong to us. Decide whether
299 * we or the current owner is better owner. */
300 /* TODO: Compare also # of patternscan encounters? */
301 struct spatial
*s2
= &dict
->spatials
[id2
];
302 if (s2
->dist
< s
->dist
)
304 if (s2
->dist
== s
->dist
&& id2
< id
)
307 fprintf(f
, " %"PRIhash
"", spatial_hash(r
, s
));
313 spatial_dict_load(struct spatial_dict
*dict
, FILE *f
, bool hash
)
316 while (fgets(buf
, sizeof(buf
), f
)) {
317 if (buf
[0] == '#') continue;
318 spatial_dict_read(dict
, buf
, hash
);
321 fprintf(stderr
, "Loaded spatial dictionary of %d patterns.\n", dict
->nspatials
);
323 spatial_dict_hashstats(dict
);
328 spatial_dict_hashstats(struct spatial_dict
*dict
)
330 /* m hash size, n number of patterns; is zobrist universal hash?
332 * Not so rigorous analysis, but it should give a good approximation:
333 * Probability of empty bucket is (1-1/m)^n ~ e^(-n/m)
334 * Probability of non-empty bucket is 1-e^(-n/m)
335 * Expected number of non-empty buckets is m*(1-e^(-n/m))
336 * Number of collisions is n-m*(1-e^(-n/m)). */
338 /* The result: Reality matches these expectations pretty well!
341 * Loaded spatial dictionary of 1064482 patterns.
342 * (Spatial dictionary hash: 513997 collisions (incl. repetitions), 11.88% (7970033/67108864) fill rate).
346 * n <= 8*1064482 (some patterns may have some identical rotations)
347 * n = 513997+7970033 = 8484030 should be the correct number
348 * n-m*(1-e^(-n/m)) = 514381
350 * To verify, make sure to turn patternprob off (e.g. use
351 * -e patternscan), since it will insert a pattern multiple times,
352 * multiplying the reported number of collisions. */
354 unsigned long buckets
= (sizeof(dict
->hash
) / sizeof(dict
->hash
[0]));
355 fprintf(stderr
, "\t(Spatial dictionary hash: %d collisions (incl. repetitions), %.2f%% (%d/%lu) fill rate).\n",
357 (double) dict
->fills
* 100 / buckets
,
358 dict
->fills
, buckets
);
362 spatial_dict_writeinfo(struct spatial_dict
*dict
, FILE *f
)
364 /* New file. First, create a comment describing order
365 * of points in the array. This is just for purposes
366 * of external tools, Pachi never interprets it itself. */
367 fprintf(f
, "# Pachi spatial patterns dictionary v1.0 maxdist %d\n",
369 for (int d
= 0; d
<= MAX_PATTERN_DIST
; d
++) {
370 fprintf(f
, "# Point order: d=%d ", d
);
371 for (int j
= ptind
[d
]; j
< ptind
[d
+ 1]; j
++) {
372 fprintf(f
, "%d,%d ", ptcoords
[j
].x
, ptcoords
[j
].y
);
378 /* We try to avoid needlessly reloading spatial dictionary
379 * since it may take rather long time. */
380 static struct spatial_dict
*cached_dict
;
382 const char *spatial_dict_filename
= "patterns.spat";
383 struct spatial_dict
*
384 spatial_dict_init(bool will_append
, bool hash
)
386 if (cached_dict
&& !will_append
)
389 FILE *f
= fopen(spatial_dict_filename
, "r");
390 if (!f
&& !will_append
) {
392 fprintf(stderr
, "No spatial dictionary, will not match spatial pattern features.\n");
396 struct spatial_dict
*dict
= calloc2(1, sizeof(*dict
));
397 /* We create a dummy record for index 0 that we will
398 * never reference. This is so that hash value 0 can
399 * represent "no value". */
400 struct spatial dummy
= { .dist
= 0 };
401 spatial_dict_addc(dict
, &dummy
);
404 spatial_dict_load(dict
, f
, hash
);
415 spatial_dict_put(struct spatial_dict
*dict
, struct spatial
*s
, hash_t h
)
417 /* We avoid spatial_dict_get() here, since we want to ignore radius
418 * differences - we have custom collision detection. */
419 int id
= dict
->hash
[h
];
421 /* Is this the same or isomorphous spatial? */
422 if (spatial_cmp(s
, &dict
->spatials
[id
]))
425 /* Look a bit harder - perhaps one of our rotations still
426 * points at the correct spatial. */
427 for (int r
= 0; r
< PTH__ROTATIONS
; r
++) {
428 hash_t rhash
= spatial_hash(r
, s
);
429 int rid
= dict
->hash
[rhash
];
430 /* No match means we definitely aren't stored yet. */
433 if (id
!= rid
&& spatial_cmp(s
, &dict
->spatials
[rid
])) {
434 /* Yay, this is us! */
436 fprintf(stderr
, "Repeated collision %d vs %d\n", id
, rid
);
438 /* Point the hashes back to us. */
444 fprintf(stderr
, "Collision %d vs %d\n", id
, dict
->nspatials
);
446 /* dict->collisions++; gets done by addh */
449 /* Add new pattern! */
450 id
= spatial_dict_addc(dict
, s
);
452 fprintf(stderr
, "new spat %d(%d) %s <%"PRIhash
"> ", id
, s
->dist
, spatial2str(s
), h
);
453 for (int r
= 0; r
< 8; r
++)
454 fprintf(stderr
,"[%"PRIhash
"] ", spatial_hash(r
, s
));
455 fprintf(stderr
, "\n");
458 /* Store new pattern in the hash. */
460 for (int r
= 0; r
< PTH__ROTATIONS
; r
++)
461 spatial_dict_addh(dict
, spatial_hash(r
, s
), id
);