ref: efda6cff49e7579b5c10b16694ac57340ce2fc2b
parent: 72989cdf1d73b371fec933e905c5482d709ec6bb
author: Simon Tatham <anakin@pobox.com>
date: Sat Sep 10 05:39:29 EDT 2005
Completely rewrite the loop-detection algorithm used to check game completion, _again_. In r6174 I changed it from dsf to conventional graph theory so that it could actually highlight loops as opposed to just discovering that one existed. Unfortunately, yesterday I discovered a fundamental graph-theoretic error in the latter algorithm: if you had two entirely separate loops connected by a single path, the path would be highlighted as well as the loops. Therefore, I've reverted to the original dsf technique, combined with a subsequent pass to trace around each loop discovered. This version seems to do a better job of only highlighting the actual loops. [originally from svn r6283] [r6174 == 2bd8e241a93165a99f5e2c4a2dd9c3b3b1e3c6f3]
--- a/slant.c
+++ b/slant.c
@@ -76,12 +76,13 @@
typedef struct game_clues {
int w, h;
signed char *clues;
- signed char *tmpsoln;
+ int *tmpdsf;
int refcount;
} game_clues;
#define ERR_VERTEX 1
#define ERR_SQUARE 2
+#define ERR_SQUARE_TMP 4
struct game_state {
struct game_params p;
@@ -1122,7 +1123,7 @@
state->clues->h = h;
state->clues->clues = snewn(W*H, signed char);
state->clues->refcount = 1;
- state->clues->tmpsoln = snewn(w*h, signed char);
+ state->clues->tmpdsf = snewn(W*H, int);
memset(state->clues->clues, -1, W*H);
while (*desc) {
int n = *desc++;
@@ -1165,7 +1166,7 @@
assert(state->clues);
if (--state->clues->refcount <= 0) {
sfree(state->clues->clues);
- sfree(state->clues->tmpsoln);
+ sfree(state->clues->tmpdsf);
sfree(state->clues);
}
sfree(state);
@@ -1216,62 +1217,161 @@
static int check_completion(game_state *state)
{
int w = state->p.w, h = state->p.h, W = w+1, H = h+1;
- int x, y, err = FALSE;
- signed char *ts;
+ int i, x, y, err = FALSE;
+ int *dsf;
memset(state->errors, 0, W*H);
/*
- * An easy way to do loop checking would be by means of the
- * same dsf technique we've used elsewhere (loop over all edges
- * in the grid, joining vertices together into equivalence
- * classes when connected by an edge, and raise the alarm when
- * an edge joins two already-equivalent vertices). However, a
- * better approach is to repeatedly remove the single edge
- * connecting to any degree-1 vertex, and then see if there are
- * any edges left over; if so, precisely those edges are part
- * of loops, which means we can highlight them as errors for
- * the user.
+ * To detect loops in the grid, we iterate through each edge
+ * building up a dsf of connected components, and raise the
+ * alarm whenever we find an edge that connects two
+ * already-connected vertices.
*
- * We use the `tmpsoln' scratch space in the shared clues
+ * We use the `tmpdsf' scratch space in the shared clues
* structure, to avoid mallocing too often.
+ *
+ * When we find such an edge, we then search around the grid to
+ * find the loop it is a part of, so that we can highlight it
+ * as an error for the user. We do this by the hand-on-one-wall
+ * technique: the search will follow branches off the inside of
+ * the loop, discover they're dead ends, and unhighlight them
+ * again when returning to the actual loop.
+ *
+ * This technique guarantees that every loop it tracks will
+ * surround a disjoint area of the grid (since if an existing
+ * loop appears on the boundary of a new one, so that there are
+ * multiple possible paths that would come back to the starting
+ * point, it will pick the one that allows it to turn right
+ * most sharply and hence the one that does not re-surround the
+ * area of the previous one). Thus, the total time taken in
+ * searching round loops is linear in the grid area since every
+ * edge is visited at most twice.
*/
- ts = state->clues->tmpsoln;
- memcpy(ts, state->soln, w*h);
- for (y = 0; y < H; y++)
- for (x = 0; x < W; x++) {
- int vx = x, vy = y;
- int sx, sy;
+ dsf = state->clues->tmpdsf;
+ for (i = 0; i < W*H; i++)
+ dsf[i] = i; /* initially all distinct */
+ for (y = 0; y < h; y++)
+ for (x = 0; x < w; x++) {
+ int i1, i2;
+
+ if (state->soln[y*w+x] == 0)
+ continue;
+ if (state->soln[y*w+x] < 0) {
+ i1 = y*W+x;
+ i2 = (y+1)*W+(x+1);
+ } else {
+ i1 = y*W+(x+1);
+ i2 = (y+1)*W+x;
+ }
+
/*
- * Every time we disconnect a vertex like this, there
- * is precisely one other vertex which might have
- * become degree 1; so we follow the trail as far as it
- * leads. This ensures that we don't have to make more
- * than one loop over the grid, because whenever a
- * degree-1 vertex comes into existence somewhere we've
- * already looked, we immediately remove it again.
- * Hence one loop over the grid is adequate; and
- * moreover, this algorithm visits every vertex at most
- * twice (once in the loop and possibly once more as a
- * result of following a trail) so it has linear time
- * in the area of the grid.
+ * Our edge connects i1 with i2. If they're already
+ * connected, flag an error. Otherwise, link them.
*/
- while (vertex_degree(w, h, ts, vx, vy, FALSE, &sx, &sy) == 1) {
- ts[sy*w+sx] = 0;
- vx = vx + 1 + (sx - vx) * 2;
- vy = vy + 1 + (sy - vy) * 2;
- }
- }
+ if (dsf_canonify(dsf, i1) == dsf_canonify(dsf, i2)) {
+ int x1, y1, x2, y2, dx, dy, dt, pass;
- /*
- * Now mark any remaining edges with ERR_SQUARE.
- */
- for (y = 0; y < h; y++)
- for (x = 0; x < w; x++)
- if (ts[y*w+x]) {
- state->errors[y*W+x] |= ERR_SQUARE;
- err = TRUE;
- }
+ err = TRUE;
+
+ /*
+ * Now search around the boundary of the loop to
+ * highlight it.
+ *
+ * We have to do this in two passes. The first
+ * time, we toggle ERR_SQUARE_TMP on each edge;
+ * this pass terminates with ERR_SQUARE_TMP set on
+ * exactly the loop edges. In the second pass, we
+ * trace round that loop again and turn
+ * ERR_SQUARE_TMP into ERR_SQUARE. We have to do
+ * this because otherwise we might cancel part of a
+ * loop highlighted in a previous iteration of the
+ * outer loop.
+ */
+
+ for (pass = 0; pass < 2; pass++) {
+
+ x1 = i1 % W;
+ y1 = i1 / W;
+ x2 = i2 % W;
+ y2 = i2 / W;
+
+ do {
+ /* Mark this edge. */
+ if (pass == 0) {
+ state->errors[min(y1,y2)*W+min(x1,x2)] ^=
+ ERR_SQUARE_TMP;
+ } else {
+ state->errors[min(y1,y2)*W+min(x1,x2)] |=
+ ERR_SQUARE;
+ state->errors[min(y1,y2)*W+min(x1,x2)] &=
+ ~ERR_SQUARE_TMP;
+ }
+
+ /*
+ * Progress to the next edge by turning as
+ * sharply right as possible. In fact we do
+ * this by facing back along the edge and
+ * turning _left_ until we see an edge we
+ * can follow.
+ */
+ dx = x1 - x2;
+ dy = y1 - y2;
+
+ for (i = 0; i < 4; i++) {
+ /*
+ * Rotate (dx,dy) to the left.
+ */
+ dt = dx; dx = dy; dy = -dt;
+
+ /*
+ * See if (x2,y2) has an edge in direction
+ * (dx,dy).
+ */
+ if (x2+dx < 0 || x2+dx >= W ||
+ y2+dy < 0 || y2+dy >= H)
+ continue; /* off the side of the grid */
+ /* In the second pass, ignore unmarked edges. */
+ if (pass == 1 &&
+ !(state->errors[(y2-(dy<0))*W+x2-(dx<0)] &
+ ERR_SQUARE_TMP))
+ continue;
+ if (state->soln[(y2-(dy<0))*w+x2-(dx<0)] ==
+ (dx==dy ? -1 : +1))
+ break;
+ }
+
+ /*
+ * In pass 0, we expect to have found
+ * _some_ edge we can follow, even if it
+ * was found by rotating all the way round
+ * and going back the way we came.
+ *
+ * In pass 1, because we're removing the
+ * mark on each edge that allows us to
+ * follow it, we expect to find _no_ edge
+ * we can follow when we've come all the
+ * way round the loop.
+ */
+ if (pass == 1 && i == 4)
+ break;
+ assert(i < 4);
+
+ /*
+ * Set x1,y1 to x2,y2, and x2,y2 to be the
+ * other end of the new edge.
+ */
+ x1 = x2;
+ y1 = y2;
+ x2 += dx;
+ y2 += dy;
+ } while (y2*W+x2 != i2);
+
+ }
+
+ } else
+ dsf_merge(dsf, i1, i2);
+ }
/*
* Now go through and check the degree of each clue vertex, and