FA-86576 / Procedural level generation constraints / Open access
L-shaped corridor carving: Leftward corridors are empty · case 01
Rooms to the left are connected by a missing corridor leg.
ROOT CAUSE
The horizontal step is always +1, so leftward ranges are empty.
VERIFIED REPAIR
Restore `sx = 1 if bx >= ax else -1` at the horizontal step sign step.
Unsuccessful approach: Comparing against the wrong coordinate picks the direction by accident.
Case contract
Carve from centre a [x, y] to b. Horizontal-first walks x from ax to bx on row ay, then y from ay to by on column bx; otherwise y first on column ax, then x on row by. Both legs include their endpoints; returns cells [x, y] in walk order without duplicates.
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(a, b, horizontal_first):
ax, ay = a
bx, by = b
path = []
def add(x, y):
if [x, y] not in path:
path.append([x, y])
sx = 1
sy = 1 if by >= ay else -1
if horizontal_first:
for x in range(ax, bx + sx, sx):
add(x, ay)
for y in range(ay, by + sy, sy):
add(bx, y)
else:
for y in range(ay, by + sy, sy):
add(ax, y)
for x in range(ax, bx + sx, sx):
add(x, by)
return path
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
cases = [[('leftward corridor #1', [[5, 1], [2, 3], True], [[5, 1], [4, 1], [3, 1], [2, 1], [2, 2], [2, 3]]),
('fault site horizontal step sign #1',
[[8, 6], [4, 5], True],
[[8, 6], [7, 6], [6, 6], [5, 6], [4, 6], [4, 5]]),
('fault site horizontal step sign #2',
[[8, 4], [1, 0], True],
[[8, 4], [7, 4], [6, 4], [5, 4], [4, 4], [3, 4], [2, 4], [1, 4], [1, 3], [1, 2], [1, 1], [1, 0]]),
('regression horizontal step sign #1',
[[7, 2], [6, 8], False],
[[7, 2], [7, 3], [7, 4], [7, 5], [7, 6], [7, 7], [7, 8], [6, 8]]),
('partial repair boundary #1',
[[0, 6], [5, 0], False],
[[0, 6], [0, 5], [0, 4], [0, 3], [0, 2], [0, 1], [0, 0], [1, 0], [2, 0], [3, 0], [4, 0], [5, 0]]),
('same column #1', [[3, 0], [3, 2], False], [[3, 0], [3, 1], [3, 2]]),
('single cell #1', [[4, 4], [4, 4], True], [[4, 4]]),
('control #1', [[6, 4], [8, 5], False], [[6, 4], [6, 5], [7, 5], [8, 5]])],
[('leftward corridor #1', [[5, 1], [2, 3], True], [[5, 1], [4, 1], [3, 1], [2, 1], [2, 2], [2, 3]]),
('fault site horizontal step sign #1',
[[8, 4], [1, 0], True],
[[8, 4], [7, 4], [6, 4], [5, 4], [4, 4], [3, 4], [2, 4], [1, 4], [1, 3], [1, 2], [1, 1], [1, 0]]),
('regression horizontal step sign #1',
[[7, 2], [6, 8], False],
[[7, 2], [7, 3], [7, 4], [7, 5], [7, 6], [7, 7], [7, 8], [6, 8]]),
('partial repair boundary #1',
[[0, 6], [5, 0], False],
[[0, 6], [0, 5], [0, 4], [0, 3], [0, 2], [0, 1], [0, 0], [1, 0], [2, 0], [3, 0], [4, 0], [5, 0]]),
('partial repair boundary #2',
[[0, 6], [3, 1], False],
[[0, 6], [0, 5], [0, 4], [0, 3], [0, 2], [0, 1], [1, 1], [2, 1], [3, 1]]),
('same column #1', [[3, 0], [3, 2], False], [[3, 0], [3, 1], [3, 2]]),
('single cell #1', [[4, 4], [4, 4], True], [[4, 4]]),
('control #1', [[6, 4], [8, 5], False], [[6, 4], [6, 5], [7, 5], [8, 5]])],
[('leftward corridor #1', [[5, 1], [2, 3], True], [[5, 1], [4, 1], [3, 1], [2, 1], [2, 2], [2, 3]]),
('regression horizontal step sign #1',
[[5, 1], [4, 5], True],
[[5, 1], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5]]),
('regression horizontal step sign #2',
[[6, 2], [3, 4], False],
[[6, 2], [6, 3], [6, 4], [5, 4], [4, 4], [3, 4]]),
('partial repair boundary #1',
[[3, 8], [5, 0], True],
[[3, 8], [4, 8], [5, 8], [5, 7], [5, 6], [5, 5], [5, 4], [5, 3], [5, 2], [5, 1], [5, 0]]),
('partial repair boundary #2',
[[3, 7], [5, 3], False],
[[3, 7], [3, 6], [3, 5], [3, 4], [3, 3], [4, 3], [5, 3]]),
('same column #1', [[3, 0], [3, 2], False], [[3, 0], [3, 1], [3, 2]]),
('single cell #1', [[4, 4], [4, 4], True], [[4, 4]]),
('control #1', [[6, 4], [8, 5], False], [[6, 4], [6, 5], [7, 5], [8, 5]])],
[('leftward corridor #1', [[5, 1], [2, 3], True], [[5, 1], [4, 1], [3, 1], [2, 1], [2, 2], [2, 3]]),
('fault site horizontal step sign #1',
[[1, 3], [0, 8], True],
[[1, 3], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [0, 8]]),
('fault site horizontal step sign #2',
[[5, 5], [0, 2], False],
[[5, 5], [5, 4], [5, 3], [5, 2], [4, 2], [3, 2], [2, 2], [1, 2], [0, 2]]),
('regression horizontal step sign #1',
[[6, 2], [3, 4], False],
[[6, 2], [6, 3], [6, 4], [5, 4], [4, 4], [3, 4]]),
('partial repair boundary #1',
[[3, 7], [5, 3], False],
[[3, 7], [3, 6], [3, 5], [3, 4], [3, 3], [4, 3], [5, 3]]),
('same column #1', [[3, 0], [3, 2], False], [[3, 0], [3, 1], [3, 2]]),
('single cell #1', [[4, 4], [4, 4], True], [[4, 4]]),
('control #1', [[6, 2], [8, 0], True], [[6, 2], [7, 2], [8, 2], [8, 1], [8, 0]])],
[('leftward corridor #1', [[5, 1], [2, 3], True], [[5, 1], [4, 1], [3, 1], [2, 1], [2, 2], [2, 3]]),
('fault site horizontal step sign #1',
[[8, 7], [1, 7], False],
[[8, 7], [7, 7], [6, 7], [5, 7], [4, 7], [3, 7], [2, 7], [1, 7]]),
('regression horizontal step sign #1', [[5, 2], [3, 4], True], [[5, 2], [4, 2], [3, 2], [3, 3], [3, 4]]),
('partial repair boundary #1',
[[0, 8], [6, 0], False],
[[0, 8],
[0, 7],
[0, 6],
[0, 5],
[0, 4],
[0, 3],
[0, 2],
[0, 1],
[0, 0],
[1, 0],
[2, 0],
[3, 0],
[4, 0],
[5, 0],
[6, 0]]),
('regression horizontal step sign #2', [[7, 5], [5, 3], True], [[7, 5], [6, 5], [5, 5], [5, 4], [5, 3]]),
('same column #1', [[3, 0], [3, 2], False], [[3, 0], [3, 1], [3, 2]]),
('single cell #1', [[4, 4], [4, 4], True], [[4, 4]]),
('control #1',
[[3, 2], [8, 8], False],
[[3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [3, 8], [4, 8], [5, 8], [6, 8], [7, 8], [8, 8]])]]
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 |
|---|---|---|---|
| leftward corridor #1 | [[2, 1], [2, 2], [2, 3]] | [[5, 1], [4, 1], [3, 1], [2, 1], [2, 2], [2, 3]] | Failed |
| fault site horizontal step sign #1 | [[4, 6], [4, 5]] | [[8, 6], [7, 6], [6, 6], [5, 6], [4, 6], [4, 5]] | Failed |
| fault site horizontal step sign #2 | [[1, 4], [1, 3], [1, 2], [1, 1], [1, 0]] | [[8, 4], [7, 4], [6, 4], [5, 4], [4, 4], [3, 4], [2, 4], [1, 4], [1, 3], [1, 2], [1, 1], [1, 0]] | Failed |
| regression horizontal step sign #1 | [[7, 2], [7, 3], [7, 4], [7, 5], [7, 6], [7, 7], [7, 8]] | [[7, 2], [7, 3], [7, 4], [7, 5], [7, 6], [7, 7], [7, 8], [6, 8]] | Failed |
| partial repair boundary #1 | [[0, 6], [0, 5], [0, 4], [0, 3], [0, 2], [0, 1], [0, 0], [1, 0], [2, 0], [3, 0], [4, 0], [5, 0]] | [[0, 6], [0, 5], [0, 4], [0, 3], [0, 2], [0, 1], [0, 0], [1, 0], [2, 0], [3, 0], [4, 0], [5, 0]] | Passed |
| same column #1 | [[3, 0], [3, 1], [3, 2]] | [[3, 0], [3, 1], [3, 2]] | Passed |
| single cell #1 | [[4, 4]] | [[4, 4]] | Passed |
| control #1 | [[6, 4], [6, 5], [7, 5], [8, 5]] | [[6, 4], [6, 5], [7, 5], [8, 5]] | Passed |
SHA-256 / 4573939697b14afca6818f0e73ef15fee97da57ae0f9d65105b9bdfd8b6f73aa
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(a, b, horizontal_first):
ax, ay = a
bx, by = b
path = []
def add(x, y):
if [x, y] not in path:
path.append([x, y])
sx = -1 if bx < ay else 1
sy = 1 if by >= ay else -1
if horizontal_first:
for x in range(ax, bx + sx, sx):
add(x, ay)
for y in range(ay, by + sy, sy):
add(bx, y)
else:
for y in range(ay, by + sy, sy):
add(ax, y)
for x in range(ax, bx + sx, sx):
add(x, by)
return path
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
cases = [[('leftward corridor #1', [[5, 1], [2, 3], True], [[5, 1], [4, 1], [3, 1], [2, 1], [2, 2], [2, 3]]),
('fault site horizontal step sign #1',
[[8, 6], [4, 5], True],
[[8, 6], [7, 6], [6, 6], [5, 6], [4, 6], [4, 5]]),
('fault site horizontal step sign #2',
[[8, 4], [1, 0], True],
[[8, 4], [7, 4], [6, 4], [5, 4], [4, 4], [3, 4], [2, 4], [1, 4], [1, 3], [1, 2], [1, 1], [1, 0]]),
('regression horizontal step sign #1',
[[7, 2], [6, 8], False],
[[7, 2], [7, 3], [7, 4], [7, 5], [7, 6], [7, 7], [7, 8], [6, 8]]),
('partial repair boundary #1',
[[0, 6], [5, 0], False],
[[0, 6], [0, 5], [0, 4], [0, 3], [0, 2], [0, 1], [0, 0], [1, 0], [2, 0], [3, 0], [4, 0], [5, 0]]),
('same column #1', [[3, 0], [3, 2], False], [[3, 0], [3, 1], [3, 2]]),
('single cell #1', [[4, 4], [4, 4], True], [[4, 4]]),
('control #1', [[6, 4], [8, 5], False], [[6, 4], [6, 5], [7, 5], [8, 5]])],
[('leftward corridor #1', [[5, 1], [2, 3], True], [[5, 1], [4, 1], [3, 1], [2, 1], [2, 2], [2, 3]]),
('fault site horizontal step sign #1',
[[8, 4], [1, 0], True],
[[8, 4], [7, 4], [6, 4], [5, 4], [4, 4], [3, 4], [2, 4], [1, 4], [1, 3], [1, 2], [1, 1], [1, 0]]),
('regression horizontal step sign #1',
[[7, 2], [6, 8], False],
[[7, 2], [7, 3], [7, 4], [7, 5], [7, 6], [7, 7], [7, 8], [6, 8]]),
('partial repair boundary #1',
[[0, 6], [5, 0], False],
[[0, 6], [0, 5], [0, 4], [0, 3], [0, 2], [0, 1], [0, 0], [1, 0], [2, 0], [3, 0], [4, 0], [5, 0]]),
('partial repair boundary #2',
[[0, 6], [3, 1], False],
[[0, 6], [0, 5], [0, 4], [0, 3], [0, 2], [0, 1], [1, 1], [2, 1], [3, 1]]),
('same column #1', [[3, 0], [3, 2], False], [[3, 0], [3, 1], [3, 2]]),
('single cell #1', [[4, 4], [4, 4], True], [[4, 4]]),
('control #1', [[6, 4], [8, 5], False], [[6, 4], [6, 5], [7, 5], [8, 5]])],
[('leftward corridor #1', [[5, 1], [2, 3], True], [[5, 1], [4, 1], [3, 1], [2, 1], [2, 2], [2, 3]]),
('regression horizontal step sign #1',
[[5, 1], [4, 5], True],
[[5, 1], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5]]),
('regression horizontal step sign #2',
[[6, 2], [3, 4], False],
[[6, 2], [6, 3], [6, 4], [5, 4], [4, 4], [3, 4]]),
('partial repair boundary #1',
[[3, 8], [5, 0], True],
[[3, 8], [4, 8], [5, 8], [5, 7], [5, 6], [5, 5], [5, 4], [5, 3], [5, 2], [5, 1], [5, 0]]),
('partial repair boundary #2',
[[3, 7], [5, 3], False],
[[3, 7], [3, 6], [3, 5], [3, 4], [3, 3], [4, 3], [5, 3]]),
('same column #1', [[3, 0], [3, 2], False], [[3, 0], [3, 1], [3, 2]]),
('single cell #1', [[4, 4], [4, 4], True], [[4, 4]]),
('control #1', [[6, 4], [8, 5], False], [[6, 4], [6, 5], [7, 5], [8, 5]])],
[('leftward corridor #1', [[5, 1], [2, 3], True], [[5, 1], [4, 1], [3, 1], [2, 1], [2, 2], [2, 3]]),
('fault site horizontal step sign #1',
[[1, 3], [0, 8], True],
[[1, 3], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [0, 8]]),
('fault site horizontal step sign #2',
[[5, 5], [0, 2], False],
[[5, 5], [5, 4], [5, 3], [5, 2], [4, 2], [3, 2], [2, 2], [1, 2], [0, 2]]),
('regression horizontal step sign #1',
[[6, 2], [3, 4], False],
[[6, 2], [6, 3], [6, 4], [5, 4], [4, 4], [3, 4]]),
('partial repair boundary #1',
[[3, 7], [5, 3], False],
[[3, 7], [3, 6], [3, 5], [3, 4], [3, 3], [4, 3], [5, 3]]),
('same column #1', [[3, 0], [3, 2], False], [[3, 0], [3, 1], [3, 2]]),
('single cell #1', [[4, 4], [4, 4], True], [[4, 4]]),
('control #1', [[6, 2], [8, 0], True], [[6, 2], [7, 2], [8, 2], [8, 1], [8, 0]])],
[('leftward corridor #1', [[5, 1], [2, 3], True], [[5, 1], [4, 1], [3, 1], [2, 1], [2, 2], [2, 3]]),
('fault site horizontal step sign #1',
[[8, 7], [1, 7], False],
[[8, 7], [7, 7], [6, 7], [5, 7], [4, 7], [3, 7], [2, 7], [1, 7]]),
('regression horizontal step sign #1', [[5, 2], [3, 4], True], [[5, 2], [4, 2], [3, 2], [3, 3], [3, 4]]),
('partial repair boundary #1',
[[0, 8], [6, 0], False],
[[0, 8],
[0, 7],
[0, 6],
[0, 5],
[0, 4],
[0, 3],
[0, 2],
[0, 1],
[0, 0],
[1, 0],
[2, 0],
[3, 0],
[4, 0],
[5, 0],
[6, 0]]),
('regression horizontal step sign #2', [[7, 5], [5, 3], True], [[7, 5], [6, 5], [5, 5], [5, 4], [5, 3]]),
('same column #1', [[3, 0], [3, 2], False], [[3, 0], [3, 1], [3, 2]]),
('single cell #1', [[4, 4], [4, 4], True], [[4, 4]]),
('control #1',
[[3, 2], [8, 8], False],
[[3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [3, 8], [4, 8], [5, 8], [6, 8], [7, 8], [8, 8]])]]
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 |
|---|---|---|---|
| leftward corridor #1 | [[2, 1], [2, 2], [2, 3]] | [[5, 1], [4, 1], [3, 1], [2, 1], [2, 2], [2, 3]] | Failed |
| fault site horizontal step sign #1 | [[8, 6], [7, 6], [6, 6], [5, 6], [4, 6], [4, 5]] | [[8, 6], [7, 6], [6, 6], [5, 6], [4, 6], [4, 5]] | Passed |
| fault site horizontal step sign #2 | [[8, 4], [7, 4], [6, 4], [5, 4], [4, 4], [3, 4], [2, 4], [1, 4], [1, 3], [1, 2], [1, 1], [1, 0]] | [[8, 4], [7, 4], [6, 4], [5, 4], [4, 4], [3, 4], [2, 4], [1, 4], [1, 3], [1, 2], [1, 1], [1, 0]] | Passed |
| regression horizontal step sign #1 | [[7, 2], [7, 3], [7, 4], [7, 5], [7, 6], [7, 7], [7, 8]] | [[7, 2], [7, 3], [7, 4], [7, 5], [7, 6], [7, 7], [7, 8], [6, 8]] | Failed |
| partial repair boundary #1 | [[0, 6], [0, 5], [0, 4], [0, 3], [0, 2], [0, 1], [0, 0]] | [[0, 6], [0, 5], [0, 4], [0, 3], [0, 2], [0, 1], [0, 0], [1, 0], [2, 0], [3, 0], [4, 0], [5, 0]] | Failed |
| same column #1 | [[3, 0], [3, 1], [3, 2]] | [[3, 0], [3, 1], [3, 2]] | Passed |
| single cell #1 | [[4, 4]] | [[4, 4]] | Passed |
| control #1 | [[6, 4], [6, 5], [7, 5], [8, 5]] | [[6, 4], [6, 5], [7, 5], [8, 5]] | Passed |
SHA-256 / ba7e00ba3e53f3b042bf7db05f01c3d278da667be854ec1005fb1eafad92295b
3 / The verified repair
Exit 0"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(a, b, horizontal_first):
ax, ay = a
bx, by = b
path = []
def add(x, y):
if [x, y] not in path:
path.append([x, y])
sx = 1 if bx >= ax else -1
sy = 1 if by >= ay else -1
if horizontal_first:
for x in range(ax, bx + sx, sx):
add(x, ay)
for y in range(ay, by + sy, sy):
add(bx, y)
else:
for y in range(ay, by + sy, sy):
add(ax, y)
for x in range(ax, bx + sx, sx):
add(x, by)
return path
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
cases = [[('leftward corridor #1', [[5, 1], [2, 3], True], [[5, 1], [4, 1], [3, 1], [2, 1], [2, 2], [2, 3]]),
('fault site horizontal step sign #1',
[[8, 6], [4, 5], True],
[[8, 6], [7, 6], [6, 6], [5, 6], [4, 6], [4, 5]]),
('fault site horizontal step sign #2',
[[8, 4], [1, 0], True],
[[8, 4], [7, 4], [6, 4], [5, 4], [4, 4], [3, 4], [2, 4], [1, 4], [1, 3], [1, 2], [1, 1], [1, 0]]),
('regression horizontal step sign #1',
[[7, 2], [6, 8], False],
[[7, 2], [7, 3], [7, 4], [7, 5], [7, 6], [7, 7], [7, 8], [6, 8]]),
('partial repair boundary #1',
[[0, 6], [5, 0], False],
[[0, 6], [0, 5], [0, 4], [0, 3], [0, 2], [0, 1], [0, 0], [1, 0], [2, 0], [3, 0], [4, 0], [5, 0]]),
('same column #1', [[3, 0], [3, 2], False], [[3, 0], [3, 1], [3, 2]]),
('single cell #1', [[4, 4], [4, 4], True], [[4, 4]]),
('control #1', [[6, 4], [8, 5], False], [[6, 4], [6, 5], [7, 5], [8, 5]])],
[('leftward corridor #1', [[5, 1], [2, 3], True], [[5, 1], [4, 1], [3, 1], [2, 1], [2, 2], [2, 3]]),
('fault site horizontal step sign #1',
[[8, 4], [1, 0], True],
[[8, 4], [7, 4], [6, 4], [5, 4], [4, 4], [3, 4], [2, 4], [1, 4], [1, 3], [1, 2], [1, 1], [1, 0]]),
('regression horizontal step sign #1',
[[7, 2], [6, 8], False],
[[7, 2], [7, 3], [7, 4], [7, 5], [7, 6], [7, 7], [7, 8], [6, 8]]),
('partial repair boundary #1',
[[0, 6], [5, 0], False],
[[0, 6], [0, 5], [0, 4], [0, 3], [0, 2], [0, 1], [0, 0], [1, 0], [2, 0], [3, 0], [4, 0], [5, 0]]),
('partial repair boundary #2',
[[0, 6], [3, 1], False],
[[0, 6], [0, 5], [0, 4], [0, 3], [0, 2], [0, 1], [1, 1], [2, 1], [3, 1]]),
('same column #1', [[3, 0], [3, 2], False], [[3, 0], [3, 1], [3, 2]]),
('single cell #1', [[4, 4], [4, 4], True], [[4, 4]]),
('control #1', [[6, 4], [8, 5], False], [[6, 4], [6, 5], [7, 5], [8, 5]])],
[('leftward corridor #1', [[5, 1], [2, 3], True], [[5, 1], [4, 1], [3, 1], [2, 1], [2, 2], [2, 3]]),
('regression horizontal step sign #1',
[[5, 1], [4, 5], True],
[[5, 1], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5]]),
('regression horizontal step sign #2',
[[6, 2], [3, 4], False],
[[6, 2], [6, 3], [6, 4], [5, 4], [4, 4], [3, 4]]),
('partial repair boundary #1',
[[3, 8], [5, 0], True],
[[3, 8], [4, 8], [5, 8], [5, 7], [5, 6], [5, 5], [5, 4], [5, 3], [5, 2], [5, 1], [5, 0]]),
('partial repair boundary #2',
[[3, 7], [5, 3], False],
[[3, 7], [3, 6], [3, 5], [3, 4], [3, 3], [4, 3], [5, 3]]),
('same column #1', [[3, 0], [3, 2], False], [[3, 0], [3, 1], [3, 2]]),
('single cell #1', [[4, 4], [4, 4], True], [[4, 4]]),
('control #1', [[6, 4], [8, 5], False], [[6, 4], [6, 5], [7, 5], [8, 5]])],
[('leftward corridor #1', [[5, 1], [2, 3], True], [[5, 1], [4, 1], [3, 1], [2, 1], [2, 2], [2, 3]]),
('fault site horizontal step sign #1',
[[1, 3], [0, 8], True],
[[1, 3], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [0, 8]]),
('fault site horizontal step sign #2',
[[5, 5], [0, 2], False],
[[5, 5], [5, 4], [5, 3], [5, 2], [4, 2], [3, 2], [2, 2], [1, 2], [0, 2]]),
('regression horizontal step sign #1',
[[6, 2], [3, 4], False],
[[6, 2], [6, 3], [6, 4], [5, 4], [4, 4], [3, 4]]),
('partial repair boundary #1',
[[3, 7], [5, 3], False],
[[3, 7], [3, 6], [3, 5], [3, 4], [3, 3], [4, 3], [5, 3]]),
('same column #1', [[3, 0], [3, 2], False], [[3, 0], [3, 1], [3, 2]]),
('single cell #1', [[4, 4], [4, 4], True], [[4, 4]]),
('control #1', [[6, 2], [8, 0], True], [[6, 2], [7, 2], [8, 2], [8, 1], [8, 0]])],
[('leftward corridor #1', [[5, 1], [2, 3], True], [[5, 1], [4, 1], [3, 1], [2, 1], [2, 2], [2, 3]]),
('fault site horizontal step sign #1',
[[8, 7], [1, 7], False],
[[8, 7], [7, 7], [6, 7], [5, 7], [4, 7], [3, 7], [2, 7], [1, 7]]),
('regression horizontal step sign #1', [[5, 2], [3, 4], True], [[5, 2], [4, 2], [3, 2], [3, 3], [3, 4]]),
('partial repair boundary #1',
[[0, 8], [6, 0], False],
[[0, 8],
[0, 7],
[0, 6],
[0, 5],
[0, 4],
[0, 3],
[0, 2],
[0, 1],
[0, 0],
[1, 0],
[2, 0],
[3, 0],
[4, 0],
[5, 0],
[6, 0]]),
('regression horizontal step sign #2', [[7, 5], [5, 3], True], [[7, 5], [6, 5], [5, 5], [5, 4], [5, 3]]),
('same column #1', [[3, 0], [3, 2], False], [[3, 0], [3, 1], [3, 2]]),
('single cell #1', [[4, 4], [4, 4], True], [[4, 4]]),
('control #1',
[[3, 2], [8, 8], False],
[[3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [3, 8], [4, 8], [5, 8], [6, 8], [7, 8], [8, 8]])]]
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 |
|---|---|---|---|
| leftward corridor #1 | [[5, 1], [4, 1], [3, 1], [2, 1], [2, 2], [2, 3]] | [[5, 1], [4, 1], [3, 1], [2, 1], [2, 2], [2, 3]] | Passed |
| fault site horizontal step sign #1 | [[8, 6], [7, 6], [6, 6], [5, 6], [4, 6], [4, 5]] | [[8, 6], [7, 6], [6, 6], [5, 6], [4, 6], [4, 5]] | Passed |
| fault site horizontal step sign #2 | [[8, 4], [7, 4], [6, 4], [5, 4], [4, 4], [3, 4], [2, 4], [1, 4], [1, 3], [1, 2], [1, 1], [1, 0]] | [[8, 4], [7, 4], [6, 4], [5, 4], [4, 4], [3, 4], [2, 4], [1, 4], [1, 3], [1, 2], [1, 1], [1, 0]] | Passed |
| regression horizontal step sign #1 | [[7, 2], [7, 3], [7, 4], [7, 5], [7, 6], [7, 7], [7, 8], [6, 8]] | [[7, 2], [7, 3], [7, 4], [7, 5], [7, 6], [7, 7], [7, 8], [6, 8]] | Passed |
| partial repair boundary #1 | [[0, 6], [0, 5], [0, 4], [0, 3], [0, 2], [0, 1], [0, 0], [1, 0], [2, 0], [3, 0], [4, 0], [5, 0]] | [[0, 6], [0, 5], [0, 4], [0, 3], [0, 2], [0, 1], [0, 0], [1, 0], [2, 0], [3, 0], [4, 0], [5, 0]] | Passed |
| same column #1 | [[3, 0], [3, 1], [3, 2]] | [[3, 0], [3, 1], [3, 2]] | Passed |
| single cell #1 | [[4, 4]] | [[4, 4]] | Passed |
| control #1 | [[6, 4], [6, 5], [7, 5], [8, 5]] | [[6, 4], [6, 5], [7, 5], [8, 5]] | Passed |
SHA-256 / 34d5a8531aa4c73dc76efee0fa5e79475a28de4e12b73da5d2a63674910c5d75
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 2026-09-29T14:50:50.850219+00:00.
Case digest / e1e5d6e23ed060b74c83e712561cbdd52762b7583164c97c42d811b960d5af18