FA-86826 / Procedural level generation constraints / Open access
Aligned stair placement: Stairs land in water below · case 01
The down stair leads onto a water tile.
ROOT CAUSE
Only walls are rejected on the lower floor.
VERIFIED REPAIR
Restore `floor_b[y][x] != '.'` at the lower floor tile step.
Unsuccessful approach: Checking floor_a twice never inspects the lower floor tile.
Case contract
Scan floor_a row by row (y), then column (x); choose the first cell where floor_a[y][x] == '.', the cell exists on floor_b and is '.' there, and the Manhattan distance to entrance [x, y] is at least min_dist. Returns [x, y] or None.
Why this case matters
Procedural generators silently emit unplayable or unfair levels when a single constraint check uses the wrong boundary, axis, neighborhood or update order; the defect is visible in exact generated geometry.
1 / The failure
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(floor_a, floor_b, entrance, min_dist):
for y in range(len(floor_a)):
for x in range(len(floor_a[0])):
if floor_a[y][x] != '.':
continue
if y >= len(floor_b) or x >= len(floor_b[0]) or floor_b[y][x] == '#':
continue
if abs(x - entrance[0]) + abs(y - entrance[1]) < min_dist:
continue
return [x, y]
return None
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
cases = [[('water below #1', [['.'], ['~'], [0, 0], 0], None),
('regression lower floor tile #1',
[['...', '.#.', '...', '..#', '###', '..#'], ['~.#.~', '##~~#', '~~#..', '.~.~.'], [2, 4], 5],
[1, 0]),
('regression lower floor tile #2',
[['#....', '..#..', '#...#', '#..#.', '.#.#.', '.#.#.'],
['#~..', '..~.', '..~.', '..#.', '##~~'],
[1, 4],
1],
[2, 0]),
('partial repair boundary #1',
[['...##.', '..#.#.', '..#...', '#.....', '#.....'], ['#', '.', '.', '~'], [0, 2], 1],
[0, 1]),
('regression lower floor tile #3',
[['.#', '#.', '#.', '..', '..', '#.'], ['~..##', '#..#.', '#.#~.', '..~.~', '~~~..'], [0, 0], 5],
None),
('first row candidate #1', [['..', '..'], ['#.', '..'], [0, 0], 1], [1, 0]),
('distance exactly min #1', [['...'], ['...'], [0, 0], 2], [2, 0]),
('control #1', [['#.#.', '...#'], ['...#~', '.....'], [3, 1], 4], None)],
[('water below #1', [['.'], ['~'], [0, 0], 0], None),
('regression lower floor tile #1',
[['#....', '..#..', '#...#', '#..#.', '.#.#.', '.#.#.'],
['#~..', '..~.', '..~.', '..#.', '##~~'],
[1, 4],
1],
[2, 0]),
('regression lower floor tile #2',
[['.#', '#.', '#.', '..', '..', '#.'], ['~..##', '#..#.', '#.#~.', '..~.~', '~~~..'], [0, 0], 5],
None),
('partial repair boundary #1',
[['...##.', '..#.#.', '..#...', '#.....', '#.....'], ['#', '.', '.', '~'], [0, 2], 1],
[0, 1]),
('regression lower floor tile #3',
[['.', '.', '#', '#'], ['~~.~~#', '~...~.', '~#.~#.', '~~~#~.'], [0, 2], 1],
None),
('first row candidate #1', [['..', '..'], ['#.', '..'], [0, 0], 1], [1, 0]),
('distance exactly min #1', [['...'], ['...'], [0, 0], 2], [2, 0]),
('control #1', [['#.#.', '...#'], ['...#~', '.....'], [3, 1], 4], None)],
[('water below #1', [['.'], ['~'], [0, 0], 0], None),
('regression lower floor tile #1',
[['.', '.', '#', '#'], ['~~.~~#', '~...~.', '~#.~#.', '~~~#~.'], [0, 2], 1],
None),
('regression lower floor tile #2',
[['..', '..', '#.', '.#', '#.', '.#'], ['~.~', '~~~', '~#.', '~#.', '...', '##.'], [0, 4], 4],
[1, 0]),
('regression lower floor tile #3',
[['.#', '#.', '#.', '..', '..', '#.'], ['~..##', '#..#.', '#.#~.', '..~.~', '~~~..'], [0, 0], 5],
None),
('regression lower floor tile #4',
[['.#.#', '#...', '..#.'], ['..#', '~~.', '~.#', '...', '#~.', '~#.'], [2, 0], 4],
None),
('first row candidate #1', [['..', '..'], ['#.', '..'], [0, 0], 1], [1, 0]),
('distance exactly min #1', [['...'], ['...'], [0, 0], 2], [2, 0]),
('control #1', [['#.#.', '...#'], ['...#~', '.....'], [3, 1], 4], None)],
[('water below #1', [['.'], ['~'], [0, 0], 0], None),
('regression lower floor tile #1',
[['.#.#', '#...', '..#.'], ['..#', '~~.', '~.#', '...', '#~.', '~#.'], [2, 0], 4],
None),
('regression lower floor tile #2',
[['.#..', '....', '....', '#...'], ['~#...', '~.~..', '#~.~.'], [3, 0], 0],
[2, 0]),
('regression lower floor tile #3',
[['..', '..', '#.', '.#', '#.', '.#'], ['~.~', '~~~', '~#.', '~#.', '...', '##.'], [0, 4], 4],
[1, 0]),
('regression lower floor tile #4', [['.', '.', '.'], ['~..'], [0, 2], 1], None),
('first row candidate #1', [['..', '..'], ['#.', '..'], [0, 0], 1], [1, 0]),
('distance exactly min #1', [['...'], ['...'], [0, 0], 2], [2, 0]),
('control #1', [['.', '#', '.', '#'], ['#.....'], [0, 1], 4], None)],
[('water below #1', [['.'], ['~'], [0, 0], 0], None),
('regression lower floor tile #1', [['.', '.', '.'], ['~..'], [0, 2], 1], None),
('regression lower floor tile #2',
[['..###.', '.#.#..', '...##.', '###...', '.#..##'], ['#', '~', '.', '.', '.', '#'], [2, 2], 2],
[0, 2]),
('regression lower floor tile #3',
[['.#..', '....', '....', '#...'], ['~#...', '~.~..', '#~.~.'], [3, 0], 0],
[2, 0]),
('partial repair boundary #1',
[['..#.', '..#.', '..#.', '#...', '.#.#'], ['#..#', '.~#.', '.##~'], [0, 2], 5],
None),
('first row candidate #1', [['..', '..'], ['#.', '..'], [0, 0], 1], [1, 0]),
('distance exactly min #1', [['...'], ['...'], [0, 0], 2], [2, 0]),
('control #1', [['##', '.#', '#.', '.#', '.#'], ['##.', '...', '.~#'], [0, 0], 5], None)]]
for label, args, expected in cases[N-1]:
check(label, solve(*args), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
| Boundary fixture | Actual | Expected | Outcome |
|---|---|---|---|
| water below #1 | [0, 0] | None | Failed |
| regression lower floor tile #1 | [0, 0] | [1, 0] | Failed |
| regression lower floor tile #2 | [1, 0] | [2, 0] | Failed |
| partial repair boundary #1 | [0, 1] | [0, 1] | Passed |
| regression lower floor tile #3 | [1, 4] | None | Failed |
| first row candidate #1 | [1, 0] | [1, 0] | Passed |
| distance exactly min #1 | [2, 0] | [2, 0] | Passed |
| control #1 | None | None | Passed |
SHA-256 / a6431017ea61011809c10421ff60bb0e879ab1fcc0a7834054a4373cece60a39
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(floor_a, floor_b, entrance, min_dist):
for y in range(len(floor_a)):
for x in range(len(floor_a[0])):
if floor_a[y][x] != '.':
continue
if y >= len(floor_b) or x >= len(floor_b[0]) or floor_a[y][x] != '.':
continue
if abs(x - entrance[0]) + abs(y - entrance[1]) < min_dist:
continue
return [x, y]
return None
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
cases = [[('water below #1', [['.'], ['~'], [0, 0], 0], None),
('regression lower floor tile #1',
[['...', '.#.', '...', '..#', '###', '..#'], ['~.#.~', '##~~#', '~~#..', '.~.~.'], [2, 4], 5],
[1, 0]),
('regression lower floor tile #2',
[['#....', '..#..', '#...#', '#..#.', '.#.#.', '.#.#.'],
['#~..', '..~.', '..~.', '..#.', '##~~'],
[1, 4],
1],
[2, 0]),
('partial repair boundary #1',
[['...##.', '..#.#.', '..#...', '#.....', '#.....'], ['#', '.', '.', '~'], [0, 2], 1],
[0, 1]),
('regression lower floor tile #3',
[['.#', '#.', '#.', '..', '..', '#.'], ['~..##', '#..#.', '#.#~.', '..~.~', '~~~..'], [0, 0], 5],
None),
('first row candidate #1', [['..', '..'], ['#.', '..'], [0, 0], 1], [1, 0]),
('distance exactly min #1', [['...'], ['...'], [0, 0], 2], [2, 0]),
('control #1', [['#.#.', '...#'], ['...#~', '.....'], [3, 1], 4], None)],
[('water below #1', [['.'], ['~'], [0, 0], 0], None),
('regression lower floor tile #1',
[['#....', '..#..', '#...#', '#..#.', '.#.#.', '.#.#.'],
['#~..', '..~.', '..~.', '..#.', '##~~'],
[1, 4],
1],
[2, 0]),
('regression lower floor tile #2',
[['.#', '#.', '#.', '..', '..', '#.'], ['~..##', '#..#.', '#.#~.', '..~.~', '~~~..'], [0, 0], 5],
None),
('partial repair boundary #1',
[['...##.', '..#.#.', '..#...', '#.....', '#.....'], ['#', '.', '.', '~'], [0, 2], 1],
[0, 1]),
('regression lower floor tile #3',
[['.', '.', '#', '#'], ['~~.~~#', '~...~.', '~#.~#.', '~~~#~.'], [0, 2], 1],
None),
('first row candidate #1', [['..', '..'], ['#.', '..'], [0, 0], 1], [1, 0]),
('distance exactly min #1', [['...'], ['...'], [0, 0], 2], [2, 0]),
('control #1', [['#.#.', '...#'], ['...#~', '.....'], [3, 1], 4], None)],
[('water below #1', [['.'], ['~'], [0, 0], 0], None),
('regression lower floor tile #1',
[['.', '.', '#', '#'], ['~~.~~#', '~...~.', '~#.~#.', '~~~#~.'], [0, 2], 1],
None),
('regression lower floor tile #2',
[['..', '..', '#.', '.#', '#.', '.#'], ['~.~', '~~~', '~#.', '~#.', '...', '##.'], [0, 4], 4],
[1, 0]),
('regression lower floor tile #3',
[['.#', '#.', '#.', '..', '..', '#.'], ['~..##', '#..#.', '#.#~.', '..~.~', '~~~..'], [0, 0], 5],
None),
('regression lower floor tile #4',
[['.#.#', '#...', '..#.'], ['..#', '~~.', '~.#', '...', '#~.', '~#.'], [2, 0], 4],
None),
('first row candidate #1', [['..', '..'], ['#.', '..'], [0, 0], 1], [1, 0]),
('distance exactly min #1', [['...'], ['...'], [0, 0], 2], [2, 0]),
('control #1', [['#.#.', '...#'], ['...#~', '.....'], [3, 1], 4], None)],
[('water below #1', [['.'], ['~'], [0, 0], 0], None),
('regression lower floor tile #1',
[['.#.#', '#...', '..#.'], ['..#', '~~.', '~.#', '...', '#~.', '~#.'], [2, 0], 4],
None),
('regression lower floor tile #2',
[['.#..', '....', '....', '#...'], ['~#...', '~.~..', '#~.~.'], [3, 0], 0],
[2, 0]),
('regression lower floor tile #3',
[['..', '..', '#.', '.#', '#.', '.#'], ['~.~', '~~~', '~#.', '~#.', '...', '##.'], [0, 4], 4],
[1, 0]),
('regression lower floor tile #4', [['.', '.', '.'], ['~..'], [0, 2], 1], None),
('first row candidate #1', [['..', '..'], ['#.', '..'], [0, 0], 1], [1, 0]),
('distance exactly min #1', [['...'], ['...'], [0, 0], 2], [2, 0]),
('control #1', [['.', '#', '.', '#'], ['#.....'], [0, 1], 4], None)],
[('water below #1', [['.'], ['~'], [0, 0], 0], None),
('regression lower floor tile #1', [['.', '.', '.'], ['~..'], [0, 2], 1], None),
('regression lower floor tile #2',
[['..###.', '.#.#..', '...##.', '###...', '.#..##'], ['#', '~', '.', '.', '.', '#'], [2, 2], 2],
[0, 2]),
('regression lower floor tile #3',
[['.#..', '....', '....', '#...'], ['~#...', '~.~..', '#~.~.'], [3, 0], 0],
[2, 0]),
('partial repair boundary #1',
[['..#.', '..#.', '..#.', '#...', '.#.#'], ['#..#', '.~#.', '.##~'], [0, 2], 5],
None),
('first row candidate #1', [['..', '..'], ['#.', '..'], [0, 0], 1], [1, 0]),
('distance exactly min #1', [['...'], ['...'], [0, 0], 2], [2, 0]),
('control #1', [['##', '.#', '#.', '.#', '.#'], ['##.', '...', '.~#'], [0, 0], 5], None)]]
for label, args, expected in cases[N-1]:
check(label, solve(*args), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
| Boundary fixture | Actual | Expected | Outcome |
|---|---|---|---|
| water below #1 | [0, 0] | None | Failed |
| regression lower floor tile #1 | [0, 0] | [1, 0] | Failed |
| regression lower floor tile #2 | [1, 0] | [2, 0] | Failed |
| partial repair boundary #1 | [0, 0] | [0, 1] | Failed |
| regression lower floor tile #3 | [1, 4] | None | Failed |
| first row candidate #1 | [1, 0] | [1, 0] | Passed |
| distance exactly min #1 | [2, 0] | [2, 0] | Passed |
| control #1 | None | None | Passed |
SHA-256 / 3b30230161896b1be1e9c690368493891a268ccf6f45f17d54cc9366e34e972c
3 / The verified repair
Exit 0"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(floor_a, floor_b, entrance, min_dist):
for y in range(len(floor_a)):
for x in range(len(floor_a[0])):
if floor_a[y][x] != '.':
continue
if y >= len(floor_b) or x >= len(floor_b[0]) or floor_b[y][x] != '.':
continue
if abs(x - entrance[0]) + abs(y - entrance[1]) < min_dist:
continue
return [x, y]
return None
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
cases = [[('water below #1', [['.'], ['~'], [0, 0], 0], None),
('regression lower floor tile #1',
[['...', '.#.', '...', '..#', '###', '..#'], ['~.#.~', '##~~#', '~~#..', '.~.~.'], [2, 4], 5],
[1, 0]),
('regression lower floor tile #2',
[['#....', '..#..', '#...#', '#..#.', '.#.#.', '.#.#.'],
['#~..', '..~.', '..~.', '..#.', '##~~'],
[1, 4],
1],
[2, 0]),
('partial repair boundary #1',
[['...##.', '..#.#.', '..#...', '#.....', '#.....'], ['#', '.', '.', '~'], [0, 2], 1],
[0, 1]),
('regression lower floor tile #3',
[['.#', '#.', '#.', '..', '..', '#.'], ['~..##', '#..#.', '#.#~.', '..~.~', '~~~..'], [0, 0], 5],
None),
('first row candidate #1', [['..', '..'], ['#.', '..'], [0, 0], 1], [1, 0]),
('distance exactly min #1', [['...'], ['...'], [0, 0], 2], [2, 0]),
('control #1', [['#.#.', '...#'], ['...#~', '.....'], [3, 1], 4], None)],
[('water below #1', [['.'], ['~'], [0, 0], 0], None),
('regression lower floor tile #1',
[['#....', '..#..', '#...#', '#..#.', '.#.#.', '.#.#.'],
['#~..', '..~.', '..~.', '..#.', '##~~'],
[1, 4],
1],
[2, 0]),
('regression lower floor tile #2',
[['.#', '#.', '#.', '..', '..', '#.'], ['~..##', '#..#.', '#.#~.', '..~.~', '~~~..'], [0, 0], 5],
None),
('partial repair boundary #1',
[['...##.', '..#.#.', '..#...', '#.....', '#.....'], ['#', '.', '.', '~'], [0, 2], 1],
[0, 1]),
('regression lower floor tile #3',
[['.', '.', '#', '#'], ['~~.~~#', '~...~.', '~#.~#.', '~~~#~.'], [0, 2], 1],
None),
('first row candidate #1', [['..', '..'], ['#.', '..'], [0, 0], 1], [1, 0]),
('distance exactly min #1', [['...'], ['...'], [0, 0], 2], [2, 0]),
('control #1', [['#.#.', '...#'], ['...#~', '.....'], [3, 1], 4], None)],
[('water below #1', [['.'], ['~'], [0, 0], 0], None),
('regression lower floor tile #1',
[['.', '.', '#', '#'], ['~~.~~#', '~...~.', '~#.~#.', '~~~#~.'], [0, 2], 1],
None),
('regression lower floor tile #2',
[['..', '..', '#.', '.#', '#.', '.#'], ['~.~', '~~~', '~#.', '~#.', '...', '##.'], [0, 4], 4],
[1, 0]),
('regression lower floor tile #3',
[['.#', '#.', '#.', '..', '..', '#.'], ['~..##', '#..#.', '#.#~.', '..~.~', '~~~..'], [0, 0], 5],
None),
('regression lower floor tile #4',
[['.#.#', '#...', '..#.'], ['..#', '~~.', '~.#', '...', '#~.', '~#.'], [2, 0], 4],
None),
('first row candidate #1', [['..', '..'], ['#.', '..'], [0, 0], 1], [1, 0]),
('distance exactly min #1', [['...'], ['...'], [0, 0], 2], [2, 0]),
('control #1', [['#.#.', '...#'], ['...#~', '.....'], [3, 1], 4], None)],
[('water below #1', [['.'], ['~'], [0, 0], 0], None),
('regression lower floor tile #1',
[['.#.#', '#...', '..#.'], ['..#', '~~.', '~.#', '...', '#~.', '~#.'], [2, 0], 4],
None),
('regression lower floor tile #2',
[['.#..', '....', '....', '#...'], ['~#...', '~.~..', '#~.~.'], [3, 0], 0],
[2, 0]),
('regression lower floor tile #3',
[['..', '..', '#.', '.#', '#.', '.#'], ['~.~', '~~~', '~#.', '~#.', '...', '##.'], [0, 4], 4],
[1, 0]),
('regression lower floor tile #4', [['.', '.', '.'], ['~..'], [0, 2], 1], None),
('first row candidate #1', [['..', '..'], ['#.', '..'], [0, 0], 1], [1, 0]),
('distance exactly min #1', [['...'], ['...'], [0, 0], 2], [2, 0]),
('control #1', [['.', '#', '.', '#'], ['#.....'], [0, 1], 4], None)],
[('water below #1', [['.'], ['~'], [0, 0], 0], None),
('regression lower floor tile #1', [['.', '.', '.'], ['~..'], [0, 2], 1], None),
('regression lower floor tile #2',
[['..###.', '.#.#..', '...##.', '###...', '.#..##'], ['#', '~', '.', '.', '.', '#'], [2, 2], 2],
[0, 2]),
('regression lower floor tile #3',
[['.#..', '....', '....', '#...'], ['~#...', '~.~..', '#~.~.'], [3, 0], 0],
[2, 0]),
('partial repair boundary #1',
[['..#.', '..#.', '..#.', '#...', '.#.#'], ['#..#', '.~#.', '.##~'], [0, 2], 5],
None),
('first row candidate #1', [['..', '..'], ['#.', '..'], [0, 0], 1], [1, 0]),
('distance exactly min #1', [['...'], ['...'], [0, 0], 2], [2, 0]),
('control #1', [['##', '.#', '#.', '.#', '.#'], ['##.', '...', '.~#'], [0, 0], 5], None)]]
for label, args, expected in cases[N-1]:
check(label, solve(*args), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
| Boundary fixture | Actual | Expected | Outcome |
|---|---|---|---|
| water below #1 | None | None | Passed |
| regression lower floor tile #1 | [1, 0] | [1, 0] | Passed |
| regression lower floor tile #2 | [2, 0] | [2, 0] | Passed |
| partial repair boundary #1 | [0, 1] | [0, 1] | Passed |
| regression lower floor tile #3 | None | None | Passed |
| first row candidate #1 | [1, 0] | [1, 0] | Passed |
| distance exactly min #1 | [2, 0] | [2, 0] | Passed |
| control #1 | None | None | Passed |
SHA-256 / 5ee8c134123f172bc8a2a14ccd9ab720bc86754caaace4fb6520dcb7494a0798
Verification & scope
Deterministic toy contract stipulated for this model; integer or exact arithmetic only, not a reproduction of any specific game engine. This reproducer isolates one failure mechanism. Results cover the supplied fixtures. Variants within a family share a test contract and should remain grouped when constructing evaluation splits. Related mechanisms with a shared evaluation_group must also remain together; these controlled models are not independent production incidents.
Observations recorded using Python 3.12.14 at 2026-09-29T14:50:53.185881+00:00.
Case digest / b326f5240c3129fb75a7ba8817897c4d89a4354d526d9e73c992ade69bc0a531