16 #include "joseki/base.h"
18 #include "playout/moggy.h"
19 #include "playout/light.h"
20 #include "tactics/util.h"
22 #include "uct/dynkomi.h"
23 #include "uct/internal.h"
24 #include "uct/plugins.h"
25 #include "uct/prior.h"
26 #include "uct/search.h"
27 #include "uct/slave.h"
32 struct uct_policy
*policy_ucb1_init(struct uct
*u
, char *arg
);
33 struct uct_policy
*policy_ucb1amaf_init(struct uct
*u
, char *arg
, struct board
*board
);
34 static void uct_pondering_start(struct uct
*u
, struct board
*b0
, struct tree
*t
, enum stone color
);
36 /* Maximal simulation length. */
37 #define MC_GAMELEN MAX_GAMELEN
41 setup_state(struct uct
*u
, struct board
*b
, enum stone color
)
43 u
->t
= tree_init(b
, color
, u
->fast_alloc
? u
->max_tree_size
: 0,
44 u
->max_pruned_size
, u
->pruning_threshold
, u
->local_tree_aging
, u
->stats_hbits
);
45 if (u
->initial_extra_komi
)
46 u
->t
->extra_komi
= u
->initial_extra_komi
;
48 fast_srandom(u
->force_seed
);
50 fprintf(stderr
, "Fresh board with random seed %lu\n", fast_getseed());
51 if (!u
->no_tbook
&& b
->moves
== 0) {
52 if (color
== S_BLACK
) {
54 } else if (DEBUGL(0)) {
55 fprintf(stderr
, "Warning: First move appears to be white\n");
61 reset_state(struct uct
*u
)
64 tree_done(u
->t
); u
->t
= NULL
;
68 setup_dynkomi(struct uct
*u
, struct board
*b
, enum stone to_play
)
70 if (u
->t
->use_extra_komi
&& !u
->pondering
&& u
->dynkomi
->permove
)
71 u
->t
->extra_komi
= u
->dynkomi
->permove(u
->dynkomi
, b
, u
->t
);
72 else if (!u
->t
->use_extra_komi
)
77 uct_prepare_move(struct uct
*u
, struct board
*b
, enum stone color
)
80 /* Verify that we have sane state. */
82 assert(u
->t
&& b
->moves
);
83 if (color
!= stone_other(u
->t
->root_color
)) {
84 fprintf(stderr
, "Fatal: Non-alternating play detected %d %d\n",
85 color
, u
->t
->root_color
);
88 uct_htable_reset(u
->t
);
91 /* We need fresh state. */
93 setup_state(u
, b
, color
);
96 u
->ownermap
.playouts
= 0;
97 memset(u
->ownermap
.map
, 0, board_size2(b
) * sizeof(u
->ownermap
.map
[0]));
98 u
->played_own
= u
->played_all
= 0;
102 dead_group_list(struct uct
*u
, struct board
*b
, struct move_queue
*mq
)
104 enum gj_state gs_array
[board_size2(b
)];
105 struct group_judgement gj
= { .thres
= GJ_THRES
, .gs
= gs_array
};
106 board_ownermap_judge_groups(b
, &u
->ownermap
, &gj
);
107 groups_of_status(b
, &gj
, GS_DEAD
, mq
);
111 uct_pass_is_safe(struct uct
*u
, struct board
*b
, enum stone color
, bool pass_all_alive
)
113 /* Make sure enough playouts are simulated to get a reasonable dead group list. */
114 while (u
->ownermap
.playouts
< GJ_MINGAMES
)
115 uct_playout(u
, b
, color
, u
->t
);
117 struct move_queue mq
= { .moves
= 0 };
118 dead_group_list(u
, b
, &mq
);
119 if (pass_all_alive
) {
120 for (unsigned int i
= 0; i
< mq
.moves
; i
++) {
121 if (board_at(b
, mq
.move
[i
]) == stone_other(color
)) {
122 return false; // We need to remove opponent dead groups first.
125 mq
.moves
= 0; // our dead stones are alive when pass_all_alive is true
127 if (u
->allow_losing_pass
) {
129 if (board_at(b
, c
) == S_OFFBOARD
)
131 if (board_ownermap_judge_point(&u
->ownermap
, c
, GJ_THRES
) == PJ_UNKNOWN
) {
133 fprintf(stderr
, "uct_pass_is_safe fails at %s[%d]\n", coord2sstr(c
, b
), c
);
134 return false; // Unclear point, clarify first.
139 return pass_is_safe(b
, color
, &mq
);
143 uct_printhook_ownermap(struct board
*board
, coord_t c
, char *s
, char *end
)
145 struct uct
*u
= board
->es
;
150 const char chr
[] = ":XO,"; // dame, black, white, unclear
151 const char chm
[] = ":xo,";
152 char ch
= chr
[board_ownermap_judge_point(&u
->ownermap
, c
, GJ_THRES
)];
153 if (ch
== ',') { // less precise estimate then?
154 ch
= chm
[board_ownermap_judge_point(&u
->ownermap
, c
, 0.67)];
156 s
+= snprintf(s
, end
- s
, "%c ", ch
);
161 uct_owner_map(struct engine
*e
, struct board
*b
, coord_t c
)
163 struct uct
*u
= b
->es
;
164 return board_ownermap_estimate_point(&u
->ownermap
, c
);
168 uct_notify_play(struct engine
*e
, struct board
*b
, struct move
*m
, char *enginearg
)
170 struct uct
*u
= e
->data
;
172 /* No state, create one - this is probably game beginning
173 * and we need to load the opening tbook right now. */
174 uct_prepare_move(u
, b
, m
->color
);
178 /* Stop pondering, required by tree_promote_at() */
179 uct_pondering_stop(u
);
180 if (UDEBUGL(2) && u
->slave
)
181 tree_dump(u
->t
, u
->dumpthres
);
183 if (is_resign(m
->coord
)) {
189 /* Promote node of the appropriate move to the tree root. */
191 if (u
->t
->untrustworthy_tree
| !tree_promote_at(u
->t
, b
, m
->coord
)) {
193 if (u
->t
->untrustworthy_tree
)
194 fprintf(stderr
, "Not promoting move node in untrustworthy tree.\n");
196 fprintf(stderr
, "Warning: Cannot promote move node! Several play commands in row?\n");
198 /* Preserve dynamic komi information, though, that is important. */
199 u
->initial_extra_komi
= u
->t
->extra_komi
;
204 /* If we are a slave in a distributed engine, start pondering once
205 * we know which move we actually played. See uct_genmove() about
206 * the check for pass. */
207 if (u
->pondering_opt
&& u
->slave
&& m
->color
== u
->my_color
&& !is_pass(m
->coord
))
208 uct_pondering_start(u
, b
, u
->t
, stone_other(m
->color
));
214 uct_undo(struct engine
*e
, struct board
*b
)
216 struct uct
*u
= e
->data
;
218 if (!u
->t
) return NULL
;
219 uct_pondering_stop(u
);
220 u
->initial_extra_komi
= u
->t
->extra_komi
;
226 uct_result(struct engine
*e
, struct board
*b
)
228 struct uct
*u
= e
->data
;
229 static char reply
[1024];
233 enum stone color
= u
->t
->root_color
;
234 struct tree_node
*n
= u
->t
->root
;
235 snprintf(reply
, 1024, "%s %s %d %.2f %.1f",
236 stone2str(color
), coord2sstr(node_coord(n
), b
),
237 n
->u
.playouts
, tree_node_get_value(u
->t
, -1, n
->u
.value
),
238 u
->t
->use_extra_komi
? u
->t
->extra_komi
: 0);
243 uct_chat(struct engine
*e
, struct board
*b
, bool opponent
, char *from
, char *cmd
)
245 struct uct
*u
= e
->data
;
248 return generic_chat(b
, opponent
, from
, cmd
, S_NONE
, pass
, 0, 1, u
->threads
, 0.0, 0.0);
250 struct tree_node
*n
= u
->t
->root
;
251 double winrate
= tree_node_get_value(u
->t
, -1, n
->u
.value
);
252 double extra_komi
= u
->t
->use_extra_komi
&& fabs(u
->t
->extra_komi
) >= 0.5 ? u
->t
->extra_komi
: 0;
254 return generic_chat(b
, opponent
, from
, cmd
, u
->t
->root_color
, node_coord(n
), n
->u
.playouts
, 1,
255 u
->threads
, winrate
, extra_komi
);
259 uct_dead_group_list(struct engine
*e
, struct board
*b
, struct move_queue
*mq
)
261 struct uct
*u
= e
->data
;
263 /* This means the game is probably over, no use pondering on. */
264 uct_pondering_stop(u
);
266 if (u
->pass_all_alive
)
267 return; // no dead groups
269 bool mock_state
= false;
272 /* No state, but we cannot just back out - we might
273 * have passed earlier, only assuming some stones are
274 * dead, and then re-connected, only to lose counting
275 * when all stones are assumed alive. */
276 uct_prepare_move(u
, b
, S_BLACK
); assert(u
->t
);
279 /* Make sure the ownermap is well-seeded. */
280 while (u
->ownermap
.playouts
< GJ_MINGAMES
)
281 uct_playout(u
, b
, S_BLACK
, u
->t
);
282 /* Show the ownermap: */
284 board_print_custom(b
, stderr
, uct_printhook_ownermap
);
286 dead_group_list(u
, b
, mq
);
289 /* Clean up the mock state in case we will receive
290 * a genmove; we could get a non-alternating-move
291 * error from uct_prepare_move() in that case otherwise. */
297 playout_policy_done(struct playout_policy
*p
)
299 if (p
->done
) p
->done(p
);
300 if (p
->data
) free(p
->data
);
305 uct_stop(struct engine
*e
)
307 /* This is called on game over notification. However, an undo
308 * and game resume can follow, so don't panic yet and just
309 * relax and stop thinking so that we don't waste CPU. */
310 struct uct
*u
= e
->data
;
311 uct_pondering_stop(u
);
315 uct_done(struct engine
*e
)
317 /* This is called on engine reset, especially when clear_board
318 * is received and new game should begin. */
321 struct uct
*u
= e
->data
;
322 uct_pondering_stop(u
);
323 if (u
->t
) reset_state(u
);
324 if (u
->dynkomi
) u
->dynkomi
->done(u
->dynkomi
);
325 free(u
->ownermap
.map
);
327 if (u
->policy
) u
->policy
->done(u
->policy
);
328 if (u
->random_policy
) u
->random_policy
->done(u
->random_policy
);
329 playout_policy_done(u
->playout
);
330 uct_prior_done(u
->prior
);
331 joseki_done(u
->jdict
);
332 pluginset_done(u
->plugins
);
337 /* Run time-limited MCTS search on foreground. */
339 uct_search(struct uct
*u
, struct board
*b
, struct time_info
*ti
, enum stone color
, struct tree
*t
, bool print_progress
)
341 struct uct_search_state s
;
342 uct_search_start(u
, b
, color
, t
, ti
, &s
);
343 if (UDEBUGL(2) && s
.base_playouts
> 0)
344 fprintf(stderr
, "<pre-simulated %d games>\n", s
.base_playouts
);
346 /* The search tree is ctx->t. This is currently == . It is important
347 * to reference ctx->t directly since the
348 * thread manager will swap the tree pointer asynchronously. */
350 /* Now, just periodically poll the search tree. */
351 /* Note that in case of TD_GAMES, threads will not wait for
352 * the uct_search_check_stop() signalization. */
354 time_sleep(TREE_BUSYWAIT_INTERVAL
);
355 /* TREE_BUSYWAIT_INTERVAL should never be less than desired time, or the
356 * time control is broken. But if it happens to be less, we still search
357 * at least 100ms otherwise the move is completely random. */
359 int i
= uct_search_games(&s
);
360 /* Print notifications etc. */
361 uct_search_progress(u
, b
, color
, t
, ti
, &s
, i
);
362 /* Check if we should stop the search. */
363 if (uct_search_check_stop(u
, b
, color
, t
, ti
, &s
, i
))
367 struct uct_thread_ctx
*ctx
= uct_search_stop();
368 if (UDEBUGL(2)) tree_dump(t
, u
->dumpthres
);
370 fprintf(stderr
, "(avg score %f/%d; dynkomi's %f/%d value %f/%d)\n",
371 t
->avg_score
.value
, t
->avg_score
.playouts
,
372 u
->dynkomi
->score
.value
, u
->dynkomi
->score
.playouts
,
373 u
->dynkomi
->value
.value
, u
->dynkomi
->value
.playouts
);
375 uct_progress_status(u
, t
, color
, ctx
->games
, NULL
);
377 if (u
->debug_after
.playouts
> 0) {
378 /* Now, start an additional run of playouts, single threaded. */
379 struct time_info debug_ti
= {
383 debug_ti
.len
.games
= t
->root
->u
.playouts
+ u
->debug_after
.playouts
;
385 board_print_custom(b
, stderr
, uct_printhook_ownermap
);
386 fprintf(stderr
, "--8<-- UCT debug post-run begin (%d:%d) --8<--\n", u
->debug_after
.level
, u
->debug_after
.playouts
);
388 int debug_level_save
= debug_level
;
389 int u_debug_level_save
= u
->debug_level
;
390 int p_debug_level_save
= u
->playout
->debug_level
;
391 debug_level
= u
->debug_after
.level
;
392 u
->debug_level
= u
->debug_after
.level
;
393 u
->playout
->debug_level
= u
->debug_after
.level
;
396 uct_playouts(u
, b
, color
, t
, &debug_ti
);
397 tree_dump(t
, u
->dumpthres
);
400 debug_level
= debug_level_save
;
401 u
->debug_level
= u_debug_level_save
;
402 u
->playout
->debug_level
= p_debug_level_save
;
404 fprintf(stderr
, "--8<-- UCT debug post-run finished --8<--\n");
407 u
->played_own
+= ctx
->games
;
411 /* Start pondering background with @color to play. */
413 uct_pondering_start(struct uct
*u
, struct board
*b0
, struct tree
*t
, enum stone color
)
416 fprintf(stderr
, "Starting to ponder with color %s\n", stone2str(stone_other(color
)));
419 /* We need a local board copy to ponder upon. */
420 struct board
*b
= malloc2(sizeof(*b
)); board_copy(b
, b0
);
422 /* *b0 did not have the genmove'd move played yet. */
423 struct move m
= { node_coord(t
->root
), t
->root_color
};
424 int res
= board_play(b
, &m
);
426 setup_dynkomi(u
, b
, stone_other(m
.color
));
428 /* Start MCTS manager thread "headless". */
429 static struct uct_search_state s
;
430 uct_search_start(u
, b
, color
, t
, NULL
, &s
);
433 /* uct_search_stop() frontend for the pondering (non-genmove) mode, and
434 * to stop the background search for a slave in the distributed engine. */
436 uct_pondering_stop(struct uct
*u
)
438 if (!thread_manager_running
)
441 /* Stop the thread manager. */
442 struct uct_thread_ctx
*ctx
= uct_search_stop();
444 if (u
->pondering
) fprintf(stderr
, "(pondering) ");
445 uct_progress_status(u
, ctx
->t
, ctx
->color
, ctx
->games
, NULL
);
449 u
->pondering
= false;
455 uct_genmove_setup(struct uct
*u
, struct board
*b
, enum stone color
)
457 if (b
->superko_violation
) {
458 fprintf(stderr
, "!!! WARNING: SUPERKO VIOLATION OCCURED BEFORE THIS MOVE\n");
459 fprintf(stderr
, "Maybe you play with situational instead of positional superko?\n");
460 fprintf(stderr
, "I'm going to ignore the violation, but note that I may miss\n");
461 fprintf(stderr
, "some moves valid under this ruleset because of this.\n");
462 b
->superko_violation
= false;
465 uct_prepare_move(u
, b
, color
);
470 /* How to decide whether to use dynkomi in this game? Since we use
471 * pondering, it's not simple "who-to-play" matter. Decide based on
472 * the last genmove issued. */
473 u
->t
->use_extra_komi
= !!(u
->dynkomi_mask
& color
);
474 setup_dynkomi(u
, b
, color
);
476 if (b
->rules
== RULES_JAPANESE
)
477 u
->territory_scoring
= true;
479 /* Make pessimistic assumption about komi for Japanese rules to
480 * avoid losing by 0.5 when winning by 0.5 with Chinese rules.
481 * The rules usually give the same winner if the integer part of komi
482 * is odd so we adjust the komi only if it is even (for a board of
483 * odd size). We are not trying to get an exact evaluation for rare
484 * cases of seki. For details see http://home.snafu.de/jasiek/parity.html */
485 if (u
->territory_scoring
&& (((int)floor(b
->komi
) + board_size(b
)) & 1)) {
486 b
->komi
+= (color
== S_BLACK
? 1.0 : -1.0);
488 fprintf(stderr
, "Setting komi to %.1f assuming Japanese rules\n",
494 uct_live_gfx_hook(struct engine
*e
)
496 struct uct
*u
= e
->data
;
497 /* Hack: Override reportfreq to get decent update rates in GoGui */
498 u
->reportfreq
= 1000;
501 /* Kindof like uct_genmove() but just find the best candidates */
503 uct_best_moves(struct engine
*e
, struct board
*b
, enum stone color
)
505 struct time_info ti
= { .period
= TT_NULL
};
506 double start_time
= time_now();
507 struct uct
*u
= e
->data
;
508 uct_pondering_stop(u
);
511 uct_genmove_setup(u
, b
, color
);
513 /* Start the Monte Carlo Tree Search! */
514 int base_playouts
= u
->t
->root
->u
.playouts
;
515 int played_games
= uct_search(u
, b
, &ti
, color
, u
->t
, false);
518 uct_search_result(u
, b
, color
, u
->pass_all_alive
, played_games
, base_playouts
, &best_coord
);
521 double time
= time_now() - start_time
+ 0.000001; /* avoid divide by zero */
522 fprintf(stderr
, "genmove in %0.2fs (%d games/s, %d games/s/thread)\n",
523 time
, (int)(played_games
/time
), (int)(played_games
/time
/u
->threads
));
526 uct_progress_status(u
, u
->t
, color
, played_games
, &best_coord
);
531 uct_genmove(struct engine
*e
, struct board
*b
, struct time_info
*ti
, enum stone color
, bool pass_all_alive
)
533 double start_time
= time_now();
534 struct uct
*u
= e
->data
;
535 u
->pass_all_alive
|= pass_all_alive
;
536 uct_pondering_stop(u
);
537 uct_genmove_setup(u
, b
, color
);
539 /* Start the Monte Carlo Tree Search! */
540 int base_playouts
= u
->t
->root
->u
.playouts
;
541 int played_games
= uct_search(u
, b
, ti
, color
, u
->t
, false);
544 struct tree_node
*best
;
545 best
= uct_search_result(u
, b
, color
, u
->pass_all_alive
, played_games
, base_playouts
, &best_coord
);
548 double time
= time_now() - start_time
+ 0.000001; /* avoid divide by zero */
549 fprintf(stderr
, "genmove in %0.2fs (%d games/s, %d games/s/thread)\n",
550 time
, (int)(played_games
/time
), (int)(played_games
/time
/u
->threads
));
553 uct_progress_status(u
, u
->t
, color
, played_games
, &best_coord
);
556 /* Pass or resign. */
557 if (is_pass(best_coord
))
558 u
->initial_extra_komi
= u
->t
->extra_komi
;
560 return coord_copy(best_coord
);
563 if (!u
->t
->untrustworthy_tree
) {
564 tree_promote_node(u
->t
, &best
);
566 /* Throw away an untrustworthy tree. */
567 /* Preserve dynamic komi information, though, that is important. */
568 u
->initial_extra_komi
= u
->t
->extra_komi
;
572 /* After a pass, pondering is harmful for two reasons:
573 * (i) We might keep pondering even when the game is over.
574 * Of course this is the case for opponent resign as well.
575 * (ii) More importantly, the ownermap will get skewed since
576 * the UCT will start cutting off any playouts. */
577 if (u
->pondering_opt
&& u
->t
&& !is_pass(node_coord(best
))) {
578 uct_pondering_start(u
, b
, u
->t
, stone_other(color
));
580 return coord_copy(best_coord
);
585 uct_gentbook(struct engine
*e
, struct board
*b
, struct time_info
*ti
, enum stone color
)
587 struct uct
*u
= e
->data
;
588 if (!u
->t
) uct_prepare_move(u
, b
, color
);
591 if (ti
->dim
== TD_GAMES
) {
592 /* Don't count in games that already went into the tbook. */
593 ti
->len
.games
+= u
->t
->root
->u
.playouts
;
595 uct_search(u
, b
, ti
, color
, u
->t
, true);
597 assert(ti
->dim
== TD_GAMES
);
598 tree_save(u
->t
, b
, ti
->len
.games
/ 100);
604 uct_dumptbook(struct engine
*e
, struct board
*b
, enum stone color
)
606 struct uct
*u
= e
->data
;
607 struct tree
*t
= tree_init(b
, color
, u
->fast_alloc
? u
->max_tree_size
: 0,
608 u
->max_pruned_size
, u
->pruning_threshold
, u
->local_tree_aging
, 0);
616 uct_evaluate_one(struct engine
*e
, struct board
*b
, struct time_info
*ti
, coord_t c
, enum stone color
)
618 struct uct
*u
= e
->data
;
622 struct move m
= { c
, color
};
623 int res
= board_play(&b2
, &m
);
626 color
= stone_other(color
);
628 if (u
->t
) reset_state(u
);
629 uct_prepare_move(u
, &b2
, color
);
633 uct_search(u
, &b2
, ti
, color
, u
->t
, true);
634 struct tree_node
*best
= u
->policy
->choose(u
->policy
, u
->t
->root
, &b2
, color
, resign
);
636 bestval
= NAN
; // the opponent has no reply!
638 bestval
= tree_node_get_value(u
->t
, 1, best
->u
.value
);
641 reset_state(u
); // clean our junk
643 return isnan(bestval
) ? NAN
: 1.0f
- bestval
;
647 uct_evaluate(struct engine
*e
, struct board
*b
, struct time_info
*ti
, floating_t
*vals
, enum stone color
)
649 for (int i
= 0; i
< b
->flen
; i
++) {
650 if (is_pass(b
->f
[i
]))
653 vals
[i
] = uct_evaluate_one(e
, b
, ti
, b
->f
[i
], color
);
659 uct_state_init(char *arg
, struct board
*b
)
661 struct uct
*u
= calloc2(1, sizeof(struct uct
));
662 bool pat_setup
= false;
664 u
->debug_level
= debug_level
;
665 u
->reportfreq
= 10000;
666 u
->gamelen
= MC_GAMELEN
;
667 u
->resign_threshold
= 0.2;
668 u
->sure_win_threshold
= 0.95;
670 u
->significant_threshold
= 50;
673 u
->playout_amaf
= true;
674 u
->amaf_prior
= false;
675 u
->max_tree_size
= 1408ULL * 1048576;
676 u
->fast_alloc
= true;
677 u
->pruning_threshold
= 0;
680 u
->thread_model
= TM_TREEVL
;
683 u
->pondering_opt
= true;
685 u
->fuseki_end
= 20; // max time at 361*20% = 72 moves (our 36th move, still 99 to play)
686 u
->yose_start
= 40; // (100-40-25)*361/100/2 = 63 moves still to play by us then
687 u
->bestr_ratio
= 0.02;
688 // 2.5 is clearly too much, but seems to compensate well for overly stern time allocations.
689 // TODO: Further tuning and experiments with better time allocation schemes.
690 u
->best2_ratio
= 2.5;
691 // Higher values of max_maintime_ratio sometimes cause severe time trouble in tournaments
692 // It might be necessary to reduce it to 1.5 on large board, but more tuning is needed.
693 u
->max_maintime_ratio
= 2.0;
695 u
->val_scale
= 0; u
->val_points
= 40;
696 u
->dynkomi_interval
= 1000;
697 u
->dynkomi_mask
= S_BLACK
| S_WHITE
;
700 u
->local_tree_aging
= 80;
701 u
->local_tree_depth_decay
= 1.5;
702 u
->local_tree_eval
= LTE_ROOT
;
703 u
->local_tree_neival
= true;
707 u
->stats_delay
= 0.01; // 10 ms
708 u
->shared_levels
= 1;
710 u
->plugins
= pluginset_init(b
);
712 u
->jdict
= joseki_load(b
->size
);
715 char *optspec
, *next
= arg
;
718 next
+= strcspn(next
, ",");
719 if (*next
) { *next
++ = 0; } else { *next
= 0; }
721 char *optname
= optspec
;
722 char *optval
= strchr(optspec
, '=');
723 if (optval
) *optval
++ = 0;
727 if (!strcasecmp(optname
, "debug")) {
729 u
->debug_level
= atoi(optval
);
732 } else if (!strcasecmp(optname
, "reporting") && optval
) {
733 /* The format of output for detailed progress
734 * information (such as current best move and
735 * its value, etc.). */
736 if (!strcasecmp(optval
, "text")) {
737 /* Plaintext traditional output. */
738 u
->reporting
= UR_TEXT
;
739 } else if (!strcasecmp(optval
, "json")) {
740 /* JSON output. Implies debug=0. */
741 u
->reporting
= UR_JSON
;
743 } else if (!strcasecmp(optval
, "jsonbig")) {
744 /* JSON output, but much more detailed.
745 * Implies debug=0. */
746 u
->reporting
= UR_JSON_BIG
;
749 fprintf(stderr
, "UCT: Invalid reporting format %s\n", optval
);
752 } else if (!strcasecmp(optname
, "reportfreq") && optval
) {
753 /* The progress information line will be shown
754 * every <reportfreq> simulations. */
755 u
->reportfreq
= atoi(optval
);
756 } else if (!strcasecmp(optname
, "dumpthres") && optval
) {
757 /* When dumping the UCT tree on output, include
758 * nodes with at least this many playouts.
759 * (A fraction of the total # of playouts at the
761 /* Use 0 to list all nodes with at least one
762 * simulation, and -1 to list _all_ nodes. */
763 u
->dumpthres
= atof(optval
);
764 } else if (!strcasecmp(optname
, "resign_threshold") && optval
) {
765 /* Resign when this ratio of games is lost
766 * after GJ_MINGAMES sample is taken. */
767 u
->resign_threshold
= atof(optval
);
768 } else if (!strcasecmp(optname
, "sure_win_threshold") && optval
) {
769 /* Stop reading when this ratio of games is won
770 * after PLAYOUT_EARLY_BREAK_MIN sample is
771 * taken. (Prevents stupid time losses,
772 * friendly to human opponents.) */
773 u
->sure_win_threshold
= atof(optval
);
774 } else if (!strcasecmp(optname
, "force_seed") && optval
) {
775 /* Set RNG seed at the tree setup. */
776 u
->force_seed
= atoi(optval
);
777 } else if (!strcasecmp(optname
, "no_tbook")) {
778 /* Disable UCT opening tbook. */
780 } else if (!strcasecmp(optname
, "pass_all_alive")) {
781 /* Whether to consider passing only after all
782 * dead groups were removed from the board;
783 * this is like all genmoves are in fact
784 * kgs-genmove_cleanup. */
785 u
->pass_all_alive
= !optval
|| atoi(optval
);
786 } else if (!strcasecmp(optname
, "allow_losing_pass")) {
787 /* Whether to consider passing in a clear
788 * but losing situation, to be scored as a loss
790 u
->allow_losing_pass
= !optval
|| atoi(optval
);
791 } else if (!strcasecmp(optname
, "territory_scoring")) {
792 /* Use territory scoring (default is area scoring).
793 * An explicit kgs-rules command overrides this. */
794 u
->territory_scoring
= !optval
|| atoi(optval
);
795 } else if (!strcasecmp(optname
, "stones_only")) {
796 /* Do not count eyes. Nice to teach go to kids.
797 * http://strasbourg.jeudego.org/regle_strasbourgeoise.htm */
798 b
->rules
= RULES_STONES_ONLY
;
799 u
->pass_all_alive
= true;
800 } else if (!strcasecmp(optname
, "debug_after")) {
801 /* debug_after=9:1000 will make Pachi think under
802 * the normal conditions, but at the point when
803 * a move is to be chosen, the tree is dumped and
804 * another 1000 simulations are run single-threaded
805 * with debug level 9, allowing inspection of Pachi's
806 * behavior after it has thought a lot. */
808 u
->debug_after
.level
= atoi(optval
);
809 char *playouts
= strchr(optval
, ':');
811 u
->debug_after
.playouts
= atoi(playouts
+1);
813 u
->debug_after
.playouts
= 1000;
815 u
->debug_after
.level
= 9;
816 u
->debug_after
.playouts
= 1000;
818 } else if (!strcasecmp(optname
, "banner") && optval
) {
819 /* Additional banner string. This must come as the
820 * last engine parameter. You can use '+' instead
821 * of ' ' if you are wrestling with kgsGtp. */
822 if (*next
) *--next
= ',';
823 u
->banner
= strdup(optval
);
824 for (char *b
= u
->banner
; *b
; b
++) {
825 if (*b
== '+') *b
= ' ';
828 } else if (!strcasecmp(optname
, "plugin") && optval
) {
829 /* Load an external plugin; filename goes before the colon,
830 * extra arguments after the colon. */
831 char *pluginarg
= strchr(optval
, ':');
834 plugin_load(u
->plugins
, optval
, pluginarg
);
836 /** UCT behavior and policies */
838 } else if ((!strcasecmp(optname
, "policy")
839 /* Node selection policy. ucb1amaf is the
840 * default policy implementing RAVE, while
841 * ucb1 is the simple exploration/exploitation
842 * policy. Policies can take further extra
844 || !strcasecmp(optname
, "random_policy")) && optval
) {
845 /* A policy to be used randomly with small
846 * chance instead of the default policy. */
847 char *policyarg
= strchr(optval
, ':');
848 struct uct_policy
**p
= !strcasecmp(optname
, "policy") ? &u
->policy
: &u
->random_policy
;
851 if (!strcasecmp(optval
, "ucb1")) {
852 *p
= policy_ucb1_init(u
, policyarg
);
853 } else if (!strcasecmp(optval
, "ucb1amaf")) {
854 *p
= policy_ucb1amaf_init(u
, policyarg
, b
);
856 fprintf(stderr
, "UCT: Invalid tree policy %s\n", optval
);
859 } else if (!strcasecmp(optname
, "playout") && optval
) {
860 /* Random simulation (playout) policy.
861 * moggy is the default policy with large
862 * amount of domain-specific knowledge and
863 * heuristics. light is a simple uniformly
864 * random move selection policy. */
865 char *playoutarg
= strchr(optval
, ':');
868 if (!strcasecmp(optval
, "moggy")) {
869 u
->playout
= playout_moggy_init(playoutarg
, b
, u
->jdict
);
870 } else if (!strcasecmp(optval
, "light")) {
871 u
->playout
= playout_light_init(playoutarg
, b
);
873 fprintf(stderr
, "UCT: Invalid playout policy %s\n", optval
);
876 } else if (!strcasecmp(optname
, "prior") && optval
) {
877 /* Node priors policy. When expanding a node,
878 * it will seed node values heuristically
879 * (most importantly, based on playout policy
880 * opinion, but also with regard to other
881 * things). See uct/prior.c for details.
882 * Use prior=eqex=0 to disable priors. */
883 u
->prior
= uct_prior_init(optval
, b
, u
);
884 } else if (!strcasecmp(optname
, "mercy") && optval
) {
885 /* Minimal difference of black/white captures
886 * to stop playout - "Mercy Rule". Speeds up
887 * hopeless playouts at the expense of some
889 u
->mercymin
= atoi(optval
);
890 } else if (!strcasecmp(optname
, "gamelen") && optval
) {
891 /* Maximum length of single simulation
893 u
->gamelen
= atoi(optval
);
894 } else if (!strcasecmp(optname
, "expand_p") && optval
) {
895 /* Expand UCT nodes after it has been
896 * visited this many times. */
897 u
->expand_p
= atoi(optval
);
898 } else if (!strcasecmp(optname
, "random_policy_chance") && optval
) {
899 /* If specified (N), with probability 1/N, random_policy policy
900 * descend is used instead of main policy descend; useful
901 * if specified policy (e.g. UCB1AMAF) can make unduly biased
902 * choices sometimes, you can fall back to e.g.
903 * random_policy=UCB1. */
904 u
->random_policy_chance
= atoi(optval
);
906 /** General AMAF behavior */
907 /* (Only relevant if the policy supports AMAF.
908 * More variables can be tuned as policy
911 } else if (!strcasecmp(optname
, "playout_amaf")) {
912 /* Whether to include random playout moves in
913 * AMAF as well. (Otherwise, only tree moves
914 * are included in AMAF. Of course makes sense
915 * only in connection with an AMAF policy.) */
916 /* with-without: 55.5% (+-4.1) */
917 if (optval
&& *optval
== '0')
918 u
->playout_amaf
= false;
920 u
->playout_amaf
= true;
921 } else if (!strcasecmp(optname
, "playout_amaf_cutoff") && optval
) {
922 /* Keep only first N% of playout stage AMAF
924 u
->playout_amaf_cutoff
= atoi(optval
);
925 } else if (!strcasecmp(optname
, "amaf_prior") && optval
) {
926 /* In node policy, consider prior values
927 * part of the real result term or part
928 * of the AMAF term? */
929 u
->amaf_prior
= atoi(optval
);
931 /** Performance and memory management */
933 } else if (!strcasecmp(optname
, "threads") && optval
) {
934 /* By default, Pachi will run with only single
935 * tree search thread! */
936 u
->threads
= atoi(optval
);
937 } else if (!strcasecmp(optname
, "thread_model") && optval
) {
938 if (!strcasecmp(optval
, "tree")) {
939 /* Tree parallelization - all threads
940 * grind on the same tree. */
941 u
->thread_model
= TM_TREE
;
943 } else if (!strcasecmp(optval
, "treevl")) {
944 /* Tree parallelization, but also
945 * with virtual losses - this discou-
946 * rages most threads choosing the
947 * same tree branches to read. */
948 u
->thread_model
= TM_TREEVL
;
950 fprintf(stderr
, "UCT: Invalid thread model %s\n", optval
);
953 } else if (!strcasecmp(optname
, "virtual_loss") && optval
) {
954 /* Number of virtual losses added before evaluating a node. */
955 u
->virtual_loss
= atoi(optval
);
956 } else if (!strcasecmp(optname
, "pondering")) {
957 /* Keep searching even during opponent's turn. */
958 u
->pondering_opt
= !optval
|| atoi(optval
);
959 } else if (!strcasecmp(optname
, "max_tree_size") && optval
) {
960 /* Maximum amount of memory [MiB] consumed by the move tree.
961 * For fast_alloc it includes the temp tree used for pruning.
962 * Default is 3072 (3 GiB). */
963 u
->max_tree_size
= atol(optval
) * 1048576;
964 } else if (!strcasecmp(optname
, "fast_alloc")) {
965 u
->fast_alloc
= !optval
|| atoi(optval
);
966 } else if (!strcasecmp(optname
, "pruning_threshold") && optval
) {
967 /* Force pruning at beginning of a move if the tree consumes
968 * more than this [MiB]. Default is 10% of max_tree_size.
969 * Increase to reduce pruning time overhead if memory is plentiful.
970 * This option is meaningful only for fast_alloc. */
971 u
->pruning_threshold
= atol(optval
) * 1048576;
975 } else if (!strcasecmp(optname
, "best2_ratio") && optval
) {
976 /* If set, prolong simulating while
977 * first_best/second_best playouts ratio
978 * is less than best2_ratio. */
979 u
->best2_ratio
= atof(optval
);
980 } else if (!strcasecmp(optname
, "bestr_ratio") && optval
) {
981 /* If set, prolong simulating while
982 * best,best_best_child values delta
983 * is more than bestr_ratio. */
984 u
->bestr_ratio
= atof(optval
);
985 } else if (!strcasecmp(optname
, "max_maintime_ratio") && optval
) {
986 /* If set and while not in byoyomi, prolong simulating no more than
987 * max_maintime_ratio times the normal desired thinking time. */
988 u
->max_maintime_ratio
= atof(optval
);
989 } else if (!strcasecmp(optname
, "fuseki_end") && optval
) {
990 /* At the very beginning it's not worth thinking
991 * too long because the playout evaluations are
992 * very noisy. So gradually increase the thinking
993 * time up to maximum when fuseki_end percent
994 * of the board has been played.
995 * This only applies if we are not in byoyomi. */
996 u
->fuseki_end
= atoi(optval
);
997 } else if (!strcasecmp(optname
, "yose_start") && optval
) {
998 /* When yose_start percent of the board has been
999 * played, or if we are in byoyomi, stop spending
1000 * more time and spread the remaining time
1002 * Between fuseki_end and yose_start, we spend
1003 * a constant proportion of the remaining time
1004 * on each move. (yose_start should actually
1005 * be much earlier than when real yose start,
1006 * but "yose" is a good short name to convey
1008 u
->yose_start
= atoi(optval
);
1012 } else if (!strcasecmp(optname
, "dynkomi") && optval
) {
1013 /* Dynamic komi approach; there are multiple
1014 * ways to adjust komi dynamically throughout
1015 * play. We currently support two: */
1016 char *dynkomiarg
= strchr(optval
, ':');
1019 if (!strcasecmp(optval
, "none")) {
1020 u
->dynkomi
= uct_dynkomi_init_none(u
, dynkomiarg
, b
);
1021 } else if (!strcasecmp(optval
, "linear")) {
1022 /* You should set dynkomi_mask=1 or a very low
1023 * handicap_value for white. */
1024 u
->dynkomi
= uct_dynkomi_init_linear(u
, dynkomiarg
, b
);
1025 } else if (!strcasecmp(optval
, "adaptive")) {
1026 /* There are many more knobs to
1027 * crank - see uct/dynkomi.c. */
1028 u
->dynkomi
= uct_dynkomi_init_adaptive(u
, dynkomiarg
, b
);
1030 fprintf(stderr
, "UCT: Invalid dynkomi mode %s\n", optval
);
1033 } else if (!strcasecmp(optname
, "dynkomi_mask") && optval
) {
1034 /* Bitmask of colors the player must be
1035 * for dynkomi be applied; the default dynkomi_mask=3 allows
1036 * dynkomi even in games where Pachi is white. */
1037 u
->dynkomi_mask
= atoi(optval
);
1038 } else if (!strcasecmp(optname
, "dynkomi_interval") && optval
) {
1039 /* If non-zero, re-adjust dynamic komi
1040 * throughout a single genmove reading,
1041 * roughly every N simulations. */
1042 /* XXX: Does not work with tree
1043 * parallelization. */
1044 u
->dynkomi_interval
= atoi(optval
);
1045 } else if (!strcasecmp(optname
, "extra_komi") && optval
) {
1046 /* Initial dynamic komi settings. This
1047 * is useful for the adaptive dynkomi
1048 * policy as the value to start with
1049 * (this is NOT kept fixed) in case
1050 * there is not enough time in the search
1051 * to adjust the value properly (e.g. the
1052 * game was interrupted). */
1053 u
->initial_extra_komi
= atof(optval
);
1055 /** Node value result scaling */
1057 } else if (!strcasecmp(optname
, "val_scale") && optval
) {
1058 /* How much of the game result value should be
1059 * influenced by win size. Zero means it isn't. */
1060 u
->val_scale
= atof(optval
);
1061 } else if (!strcasecmp(optname
, "val_points") && optval
) {
1062 /* Maximum size of win to be scaled into game
1063 * result value. Zero means boardsize^2. */
1064 u
->val_points
= atoi(optval
) * 2; // result values are doubled
1065 } else if (!strcasecmp(optname
, "val_extra")) {
1066 /* If false, the score coefficient will be simply
1067 * added to the value, instead of scaling the result
1068 * coefficient because of it. */
1069 u
->val_extra
= !optval
|| atoi(optval
);
1070 } else if (!strcasecmp(optname
, "val_byavg")) {
1071 /* If true, the score included in the value will
1072 * be relative to average score in the current
1073 * search episode inst. of jigo. */
1074 u
->val_byavg
= !optval
|| atoi(optval
);
1075 } else if (!strcasecmp(optname
, "val_bytemp")) {
1076 /* If true, the value scaling coefficient
1077 * is different based on value extremity
1078 * (dist. from 0.5), linear between
1079 * val_bytemp_min, val_scale. */
1080 u
->val_bytemp
= !optval
|| atoi(optval
);
1081 } else if (!strcasecmp(optname
, "val_bytemp_min") && optval
) {
1082 /* Minimum val_scale in case of val_bytemp. */
1083 u
->val_bytemp_min
= atof(optval
);
1086 /* (Purely experimental. Does not work - yet!) */
1088 } else if (!strcasecmp(optname
, "local_tree")) {
1089 /* Whether to bias exploration by local tree values. */
1090 u
->local_tree
= !optval
|| atoi(optval
);
1091 } else if (!strcasecmp(optname
, "tenuki_d") && optval
) {
1092 /* Tenuki distance at which to break the local tree. */
1093 u
->tenuki_d
= atoi(optval
);
1094 if (u
->tenuki_d
> TREE_NODE_D_MAX
+ 1) {
1095 fprintf(stderr
, "uct: tenuki_d must not be larger than TREE_NODE_D_MAX+1 %d\n", TREE_NODE_D_MAX
+ 1);
1098 } else if (!strcasecmp(optname
, "local_tree_aging") && optval
) {
1099 /* How much to reduce local tree values between moves. */
1100 u
->local_tree_aging
= atof(optval
);
1101 } else if (!strcasecmp(optname
, "local_tree_depth_decay") && optval
) {
1102 /* With value x>0, during the descent the node
1103 * contributes 1/x^depth playouts in
1104 * the local tree. I.e., with x>1, nodes more
1105 * distant from local situation contribute more
1106 * than nodes near the root. */
1107 u
->local_tree_depth_decay
= atof(optval
);
1108 } else if (!strcasecmp(optname
, "local_tree_allseq")) {
1109 /* If disabled, only complete sequences are stored
1110 * in the local tree. If this is on, also
1111 * subsequences starting at each move are stored. */
1112 u
->local_tree_allseq
= !optval
|| atoi(optval
);
1113 } else if (!strcasecmp(optname
, "local_tree_neival")) {
1114 /* If disabled, local node value is not
1115 * computed just based on terminal status
1116 * of the coordinate, but also its neighbors. */
1117 u
->local_tree_neival
= !optval
|| atoi(optval
);
1118 } else if (!strcasecmp(optname
, "local_tree_eval")) {
1119 /* How is the value inserted in the local tree
1121 if (!strcasecmp(optval
, "root"))
1122 /* All moves within a tree branch are
1123 * considered wrt. their merit
1124 * reaching tachtical goal of making
1125 * the first move in the branch
1127 u
->local_tree_eval
= LTE_ROOT
;
1128 else if (!strcasecmp(optval
, "each"))
1129 /* Each move is considered wrt.
1130 * its own survival. */
1131 u
->local_tree_eval
= LTE_EACH
;
1132 else if (!strcasecmp(optval
, "total"))
1133 /* The tactical goal is the survival
1134 * of all the moves of my color and
1135 * non-survival of all the opponent
1136 * moves. Local values (and their
1137 * inverses) are averaged. */
1138 u
->local_tree_eval
= LTE_TOTAL
;
1140 fprintf(stderr
, "uct: unknown local_tree_eval %s\n", optval
);
1143 } else if (!strcasecmp(optname
, "local_tree_rootchoose")) {
1144 /* If disabled, only moves within the local
1145 * tree branch are considered; the values
1146 * of the branch roots (i.e. root children)
1147 * are ignored. This may make sense together
1148 * with eval!=each, we consider only moves
1149 * that influence the goal, not the "rating"
1150 * of the goal itself. (The real solution
1151 * will be probably using criticality to pick
1152 * local tree branches.) */
1153 u
->local_tree_rootchoose
= !optval
|| atoi(optval
);
1155 /** Other heuristics */
1156 } else if (!strcasecmp(optname
, "patterns")) {
1157 /* Load pattern database. Various modules
1158 * (priors, policies etc.) may make use
1159 * of this database. They will request
1160 * it automatically in that case, but you
1161 * can use this option to tweak the pattern
1163 patterns_init(&u
->pat
, optval
, false, true);
1164 u
->want_pat
= pat_setup
= true;
1165 } else if (!strcasecmp(optname
, "significant_threshold") && optval
) {
1166 /* Some heuristics (XXX: none in mainline) rely
1167 * on the knowledge of the last "significant"
1168 * node in the descent. Such a node is
1169 * considered reasonably trustworthy to carry
1170 * some meaningful information in the values
1171 * of the node and its children. */
1172 u
->significant_threshold
= atoi(optval
);
1174 /** Distributed engine slaves setup */
1176 } else if (!strcasecmp(optname
, "slave")) {
1177 /* Act as slave for the distributed engine. */
1178 u
->slave
= !optval
|| atoi(optval
);
1179 } else if (!strcasecmp(optname
, "slave_index") && optval
) {
1180 /* Optional index if per-slave behavior is desired.
1181 * Must be given as index/max */
1182 u
->slave_index
= atoi(optval
);
1183 char *p
= strchr(optval
, '/');
1184 if (p
) u
->max_slaves
= atoi(++p
);
1185 } else if (!strcasecmp(optname
, "shared_nodes") && optval
) {
1186 /* Share at most shared_nodes between master and slave at each genmoves.
1187 * Must use the same value in master and slaves. */
1188 u
->shared_nodes
= atoi(optval
);
1189 } else if (!strcasecmp(optname
, "shared_levels") && optval
) {
1190 /* Share only nodes of level <= shared_levels. */
1191 u
->shared_levels
= atoi(optval
);
1192 } else if (!strcasecmp(optname
, "stats_hbits") && optval
) {
1193 /* Set hash table size to 2^stats_hbits for the shared stats. */
1194 u
->stats_hbits
= atoi(optval
);
1195 } else if (!strcasecmp(optname
, "stats_delay") && optval
) {
1196 /* How long to wait in slave for initial stats to build up before
1197 * replying to the genmoves command (in ms) */
1198 u
->stats_delay
= 0.001 * atof(optval
);
1202 } else if (!strcasecmp(optname
, "maximize_score")) {
1203 /* A combination of settings that will make
1204 * Pachi try to maximize his points (instead
1205 * of playing slack yose) or minimize his loss
1206 * (and proceed to counting even when losing). */
1207 /* Please note that this preset might be
1208 * somewhat weaker than normal Pachi, and the
1209 * score maximization is approximate; point size
1210 * of win/loss still should not be used to judge
1211 * strength of Pachi or the opponent. */
1212 /* See README for some further notes. */
1213 if (!optval
|| atoi(optval
)) {
1214 /* Allow scoring a lost game. */
1215 u
->allow_losing_pass
= true;
1216 /* Make Pachi keep his calm when losing
1217 * and/or maintain winning marging. */
1218 /* Do not play games that are losing
1220 /* XXX: komi_ratchet_age=40000 is necessary
1221 * with losing_komi_ratchet, but 40000
1222 * is somewhat arbitrary value. */
1223 char dynkomi_args
[] = "losing_komi_ratchet:komi_ratchet_age=60000:no_komi_at_game_end=0:max_losing_komi=30";
1224 u
->dynkomi
= uct_dynkomi_init_adaptive(u
, dynkomi_args
, b
);
1225 /* XXX: Values arbitrary so far. */
1226 /* XXX: Also, is bytemp sensible when
1227 * combined with dynamic komi?! */
1228 u
->val_scale
= 0.01;
1229 u
->val_bytemp
= true;
1230 u
->val_bytemp_min
= 0.001;
1231 u
->val_byavg
= true;
1235 fprintf(stderr
, "uct: Invalid engine argument %s or missing value\n", optname
);
1242 u
->policy
= policy_ucb1amaf_init(u
, NULL
, b
);
1244 if (!!u
->random_policy_chance
^ !!u
->random_policy
) {
1245 fprintf(stderr
, "uct: Only one of random_policy and random_policy_chance is set\n");
1249 if (!u
->local_tree
) {
1250 /* No ltree aging. */
1251 u
->local_tree_aging
= 1.0f
;
1254 if (u
->fast_alloc
) {
1255 if (u
->pruning_threshold
< u
->max_tree_size
/ 10)
1256 u
->pruning_threshold
= u
->max_tree_size
/ 10;
1257 if (u
->pruning_threshold
> u
->max_tree_size
/ 2)
1258 u
->pruning_threshold
= u
->max_tree_size
/ 2;
1260 /* Limit pruning temp space to 20% of memory. Beyond this we discard
1261 * the nodes and recompute them at the next move if necessary. */
1262 u
->max_pruned_size
= u
->max_tree_size
/ 5;
1263 u
->max_tree_size
-= u
->max_pruned_size
;
1265 /* Reserve 5% memory in case the background free() are slower
1266 * than the concurrent allocations. */
1267 u
->max_tree_size
-= u
->max_tree_size
/ 20;
1271 u
->prior
= uct_prior_init(NULL
, b
, u
);
1274 u
->playout
= playout_moggy_init(NULL
, b
, u
->jdict
);
1275 if (!u
->playout
->debug_level
)
1276 u
->playout
->debug_level
= u
->debug_level
;
1278 if (u
->want_pat
&& !pat_setup
)
1279 patterns_init(&u
->pat
, NULL
, false, true);
1281 u
->ownermap
.map
= malloc2(board_size2(b
) * sizeof(u
->ownermap
.map
[0]));
1284 if (!u
->stats_hbits
) u
->stats_hbits
= DEFAULT_STATS_HBITS
;
1285 if (!u
->shared_nodes
) u
->shared_nodes
= DEFAULT_SHARED_NODES
;
1286 assert(u
->shared_levels
* board_bits2(b
) <= 8 * (int)sizeof(path_t
));
1290 u
->dynkomi
= board_small(b
) ? uct_dynkomi_init_none(u
, NULL
, b
)
1291 : uct_dynkomi_init_linear(u
, NULL
, b
);
1293 /* Some things remain uninitialized for now - the opening tbook
1294 * is not loaded and the tree not set up. */
1295 /* This will be initialized in setup_state() at the first move
1296 * received/requested. This is because right now we are not aware
1297 * about any komi or handicap setup and such. */
1303 engine_uct_init(char *arg
, struct board
*b
)
1305 struct uct
*u
= uct_state_init(arg
, b
);
1306 struct engine
*e
= calloc2(1, sizeof(struct engine
));
1308 e
->printhook
= uct_printhook_ownermap
;
1309 e
->notify_play
= uct_notify_play
;
1312 e
->result
= uct_result
;
1313 e
->genmove
= uct_genmove
;
1314 e
->genmoves
= uct_genmoves
;
1315 e
->evaluate
= uct_evaluate
;
1316 e
->dead_group_list
= uct_dead_group_list
;
1319 e
->owner_map
= uct_owner_map
;
1320 e
->best_moves
= uct_best_moves
;
1321 e
->live_gfx_hook
= uct_live_gfx_hook
;
1324 e
->notify
= uct_notify
;
1326 const char banner
[] = "If you believe you have won but I am still playing, "
1327 "please help me understand by capturing all dead stones. "
1328 "Anyone can send me 'winrate' in private chat to get my assessment of the position.";
1329 if (!u
->banner
) u
->banner
= "";
1330 e
->comment
= malloc2(sizeof(banner
) + strlen(u
->banner
) + 1);
1331 sprintf(e
->comment
, "%s %s", banner
, u
->banner
);