4 /* Matching of multi-featured patterns. */
9 /* When someone says "pattern", you imagine a configuration of stones in given
10 * area (e.g. as matched very efficiently by pattern3 in case of 3x3 area).
11 * However, we use a richer definition of pattern, where this is merely one
12 * pattern _feature_. Another features may be is-a-selfatari, is-a-capture,
13 * number of liberties, distance from last move, etc. */
15 /* Each feature is represented by its id and an optional 32-bit payload;
16 * when matching, discrete (id,payload) pairs are considered. */
18 /* This is heavily influenced by (Coulom, 2007), of course. */
19 /* TODO: Try completely separate ko / no-ko features. */
25 /* Payload: [bit0] Last move was also pass? */
26 #define PF_PASS_LASTPASS 0
29 /* Simple capture move. */
30 /* Payload: [bit0] Capturing laddered group? */
31 #define PF_CAPTURE_LADDER 0
32 /* [bit1] Re-capturing last move? */
33 #define PF_CAPTURE_RECAPTURE 1 /* TODO */
34 /* [bit2] Enables our atari group get more libs? */
35 #define PF_CAPTURE_ATARIDEF 2
36 /* [bit3] Capturing ko? */
37 #define PF_CAPTURE_KO 3
40 /* Atari escape (extension). */
41 /* Payload: [bit0] Escaping with laddered group? */
42 #define PF_AESCAPE_LADDER 0
45 /* Self-atari move. */
46 /* Payload: [bit0] Also using our complex definition? */
47 #define PF_SELFATARI_SMART 0 /* TODO: Non-smart */
51 /* Payload: [bit0] The atari'd group gets laddered? */
52 #define PF_ATARI_LADDER 0
53 /* [bit1] Playing ko? */
57 /* Border distance. */
58 /* Payload: The distance - "line number". Only up to 4. */
61 /* Last move distance. */
62 /* Payload: The distance - gridcular metric. */
65 /* Next-to-last move distance. */
66 /* Payload: The distance - gridcular metric. */
69 /* Spatial configuration of stones in certain board area. */
70 /* Payload: [bits 31-24] Pattern radius (gridcular) */
71 #define PF_SPATIAL_RADIUS (255 << 24)
72 /* [bit 23] Who to play? (1: White) */
73 #define PF_SPATIAL_TOPLAY (1 << 23)
74 /* [other bits] Index in the spatial_dict. */
75 #define PF_SPATIAL_INDEX ((1 << 23) - 1)
79 /* Unimplemented - TODO: */
81 /* Monte-carlo owner. */
82 /* Payload: #of playouts owning this point at the final
83 * position, scaled to 0..15 (lowest 4 bits). */
93 /* Pattern (matched) is set of features. */
96 struct feature f
[FEATURES
];
100 struct pattern_config
{
101 /* FEAT_SPATIAL: Generate patterns only for these sizes (gridcular). */
102 int spat_min
, spat_max
;
103 /* FEAT_BORDER: Generate features only up to this board distance. */
105 /* FEAT_LDIST, FEAT_LLDIST: Generate features only for these move
107 int ldist_min
, ldist_max
;
108 /* FEAT_MCOWNER: Generate feature after this number of simulations. */
111 /* The spatial patterns dictionary, used by FEAT_SPATIAL. */
112 struct spatial_dict
*spat_dict
;
114 extern struct pattern_config DEFAULT_PATTERN_CONFIG
;
117 /* Append feature to string. */
118 char *feature2str(char *str
, struct feature
*f
);
119 /* Convert string to feature, return pointer after the featurespec. */
120 char *str2feature(char *str
, struct feature
*f
);
122 /* Append pattern as feature spec string. */
123 char *pattern2str(char *str
, struct pattern
*p
);
125 /* Initialize p and fill it with features matched by the
126 * given board move. */
127 void pattern_match(struct pattern_config
*pc
, struct pattern
*p
, struct board
*b
, struct move
*m
);
130 /* Spatial pattern dictionary. */
132 /* For each encountered configuration of stones, we keep it "spelled out"
133 * in these records, index them and refer just the indices in the feature
134 * payloads. This achieves several things:
135 * * We can handle patterns of arbitrary length.
136 * * We can recognize isomorphous configurations (color reversions,
137 * rotations) within the dataset.
138 * * We can visualise patterns corresponding to chosen features.
140 * Thus, it goes like this:
142 * +----------------+ +----------------+
143 * | struct pattern | - | struct feature |
144 * +----------------+ | payload id |
150 * +-----------------------------------------+
151 * | struct spatial_dict spatials[] hash[] |
152 * +-----------------------------------------+
159 /* Maximum spatial pattern diameter. */
160 #define MAX_PATTERN_DIST 21
161 /* Maximum number of points in spatial pattern (upper bound).
162 * TODO: Better upper bound to save more data. */
163 #define MAX_PATTERN_AREA (MAX_PATTERN_DIST*MAX_PATTERN_DIST)
165 /* Record for single stone configuration. */
167 /* Gridcular radius of matched pattern. */
169 /* The points; each point is two bits, corresponding
170 * to {enum stone}. Points are ordered in gridcular-defined
171 * spiral from middle to the edge; the dictionary file has
172 * a comment describing the ordering at the top. */
173 char points
[MAX_PATTERN_AREA
/ 4];
174 #define spatial_point_at(s, i) (((s).points[(i) / 4] >> (((i) % 4) * 2)) & 3)
177 /* Collection of stone configurations, with two ways of lookup:
178 * (i) by index (ii) by hash of the configuration. */
179 struct spatial_dict
{
180 /* Indexed base store */
181 int nspatials
; /* Number of records. */
182 struct spatial
*spatials
; /* Actual records. */
184 /* Hashed access; all isomorphous configurations
186 #define spatial_hash_bits 24 // ~64mib array
187 #define spatial_hash_mask ((1 << spatial_hash_bits) - 1)
188 /* Maps to spatials[] indices. The hash function
189 * used is zobrist hashing with fixed values. */
190 uint32_t hash
[1 << spatial_hash_bits
];
191 /* Auxiliary collision counter, for statistics. */
194 /* Backing store for appending patterns. */
198 /* Initializes spatial dictionary, pre-loading existing records from
199 * default filename if exists. If will_append is true, it will open
200 * the file for appending. */
201 struct spatial_dict
*spatial_dict_init(bool will_append
);
203 /* Lookup specified spatial pattern in the dictionary; return index
204 * of the pattern. If the pattern is not found, in read-only mode
205 * -1 will be returned, in append mode it will be added both to the
206 * dictionary and its file. */
207 int spatial_dict_get(struct spatial_dict
*dict
, struct spatial
*s
);