{"abstract":"Enemy packs spawn stacked on adjacent tiles.","category":"Procedural level generation constraints","checks":8,"contract":"Candidates [row, col] are tried in order until count spawns are chosen. A spawn must be in bounds on a '.' tile, at Chebyshev distance >= min_dist from the player and at Chebyshev distance >= 2 from every chosen spawn (no touching spawns, diagonals included). Returns chosen cells.","contract_signature":"grid, player, candidates, min_dist, count","evaluation_group":"w2-procedural-level-generation-constraints-spawn-points","failed_approach":"Manhattan spacing still admits diagonally touching spawns.","family":"w2-procedural-level-generation-constraints-spawn-points-spawn-spacing","id":"FA-86436","implementations":{"attempt":{"sha256":"2e8641b550d6971be9d72b05922d3bdaabb63f7064e64bc26ae5616ffce8909e","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(grid, player, candidates, min_dist, count):\n    chosen = []\n    pr, pc = player\n    for r, c in candidates:\n        if len(chosen) >= count:\n            break\n        if not (0 <= r < len(grid) and 0 <= c < len(grid[0])) or grid[r][c] != '.':\n            continue\n        if max(abs(r - pr), abs(c - pc)) < min_dist:\n            continue\n        if any(abs(r - a) + abs(c - b) < 2 for a, b in chosen):\n            continue\n        chosen.append([r, c])\n    return chosen\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\ncases = [[('diagonal neighbour spawn #1', [['....', '....', '....'], [0, 0], [[1, 2], [2, 3]], 1, 3], [[1, 2]]),\n  ('regression spawn spacing #1',\n   [['...#', '.#..', '#.#~', '~~.~', '~~#.', '~##.', '....', '...#'],\n    [1, 2],\n    [[0, 1], [6, 4], [5, 4], [4, 1], [4, 0], [6, 1], [0, 4], [7, 2], [5, 3], [-1, 1]],\n    3,\n    2],\n   [[6, 1], [5, 3]]),\n  ('fault site spawn spacing #1',\n   [['.~.', '#..', '.#.', '...', '..#', '.~.', '#..', '~..'],\n    [0, 2],\n    [[3, 3], [3, 1], [3, 0], [7, -1], [4, 3], [7, 1]],\n    3,\n    2],\n   [[3, 1], [7, 1]]),\n  ('regression spawn spacing #2',\n   [['...#.#', '~.#...', '...#..', '......', '.~..~.', '#...#.', '....~.'],\n    [2, 4],\n    [[3, 4], [0, 0], [4, 3], [1, 0], [3, 2], [3, 0], [7, 0], [7, 6]],\n    0,\n    5],\n   [[3, 4], [0, 0], [3, 2], [3, 0]]),\n  ('regression spawn spacing #3',\n   [['..~...', '#.~...', '.#....'],\n    [0, 5],\n    [[0, 3], [0, 0], [1, 1], [3, 3], [2, 1], [0, 1], [0, 5], [2, 4], [2, 3], [1, 4]],\n    1,\n    3],\n   [[0, 3], [0, 0], [2, 4]]),\n  ('exact safe radius #1', [['.....', '.....'], [0, 0], [[1, 1], [0, 2]], 2, 2], [[0, 2]]),\n  ('negative index candidate #1', [['...', '...', '..#'], [0, 0], [[-1, -1], [2, 0]], 1, 2], [[2, 0]]),\n  ('control #1',\n   [['#.#', '...', '#.#', '.#.', '...', '...', '...', '##.'], [6, 2], [[2, -1], [7, 2]], 0, 0],\n   [])],\n [('diagonal neighbour spawn #1', [['....', '....', '....'], [0, 0], [[1, 2], [2, 3]], 1, 3], [[1, 2]]),\n  ('fault site spawn spacing #1',\n   [['.~.', '#..', '.#.', '...', '..#', '.~.', '#..', '~..'],\n    [0, 2],\n    [[3, 3], [3, 1], [3, 0], [7, -1], [4, 3], [7, 1]],\n    3,\n    2],\n   [[3, 1], [7, 1]]),\n  ('regression spawn spacing #1',\n   [['...#.#', '~.#...', '...#..', '......', '.~..~.', '#...#.', '....~.'],\n    [2, 4],\n    [[3, 4], [0, 0], [4, 3], [1, 0], [3, 2], [3, 0], [7, 0], [7, 6]],\n    0,\n    5],\n   [[3, 4], [0, 0], [3, 2], [3, 0]]),\n  ('regression spawn spacing #2',\n   [['..~...', '#.~...', '.#....'],\n    [0, 5],\n    [[0, 3], [0, 0], [1, 1], [3, 3], [2, 1], [0, 1], [0, 5], [2, 4], [2, 3], [1, 4]],\n    1,\n    3],\n   [[0, 3], [0, 0], [2, 4]]),\n  ('regression spawn spacing #3',\n   [['...#.~..', '.#~.....', '.......#', '#...#..#'],\n    [0, 3],\n    [[4, -1], [2, 6], [-1, 6], [4, 8], [-1, -1], [1, -1], [1, -1], [2, 8], [4, 2], [3, 5]],\n    1,\n    2],\n   [[2, 6]]),\n  ('exact safe radius #1', [['.....', '.....'], [0, 0], [[1, 1], [0, 2]], 2, 2], [[0, 2]]),\n  ('negative index candidate #1', [['...', '...', '..#'], [0, 0], [[-1, -1], [2, 0]], 1, 2], [[2, 0]]),\n  ('control #1',\n   [['#.#', '...', '#.#', '.#.', '...', '...', '...', '##.'], [6, 2], [[2, -1], [7, 2]], 0, 0],\n   [])],\n [('diagonal neighbour spawn #1', [['....', '....', '....'], [0, 0], [[1, 2], [2, 3]], 1, 3], [[1, 2]]),\n  ('regression spawn spacing #1',\n   [['..~...', '#.~...', '.#....'],\n    [0, 5],\n    [[0, 3], [0, 0], [1, 1], [3, 3], [2, 1], [0, 1], [0, 5], [2, 4], [2, 3], [1, 4]],\n    1,\n    3],\n   [[0, 3], [0, 0], [2, 4]]),\n  ('regression spawn spacing #2',\n   [['...#.~..', '.#~.....', '.......#', '#...#..#'],\n    [0, 3],\n    [[4, -1], [2, 6], [-1, 6], [4, 8], [-1, -1], [1, -1], [1, -1], [2, 8], [4, 2], [3, 5]],\n    1,\n    2],\n   [[2, 6]]),\n  ('regression spawn spacing #3',\n   [['.~..', '#...', '..~.'],\n    [0, 2],\n    [[1, 0], [3, -1], [1, 2], [-1, 1], [1, 3], [3, 0], [1, 0], [2, 1]],\n    1,\n    5],\n   [[1, 2]]),\n  ('regression spawn spacing #4',\n   [['...', '~..', '#~~', '...'],\n    [2, 1],\n    [[0, 2], [2, -1], [1, 1], [2, 1], [2, 1], [3, -1], [2, -1], [2, 1], [-1, 3], [-1, -1]],\n    0,\n    3],\n   [[0, 2]]),\n  ('exact safe radius #1', [['.....', '.....'], [0, 0], [[1, 1], [0, 2]], 2, 2], [[0, 2]]),\n  ('negative index candidate #1', [['...', '...', '..#'], [0, 0], [[-1, -1], [2, 0]], 1, 2], [[2, 0]]),\n  ('control #1',\n   [['#.#', '...', '#.#', '.#.', '...', '...', '...', '##.'], [6, 2], [[2, -1], [7, 2]], 0, 0],\n   [])],\n [('diagonal neighbour spawn #1', [['....', '....', '....'], [0, 0], [[1, 2], [2, 3]], 1, 3], [[1, 2]]),\n  ('regression spawn spacing #1',\n   [['.~..', '#...', '..~.'],\n    [0, 2],\n    [[1, 0], [3, -1], [1, 2], [-1, 1], [1, 3], [3, 0], [1, 0], [2, 1]],\n    1,\n    5],\n   [[1, 2]]),\n  ('regression spawn spacing #2',\n   [['...', '~..', '#~~', '...'],\n    [2, 1],\n    [[0, 2], [2, -1], [1, 1], [2, 1], [2, 1], [3, -1], [2, -1], [2, 1], [-1, 3], [-1, -1]],\n    0,\n    3],\n   [[0, 2]]),\n  ('regression spawn spacing #3',\n   [['..#..', '.#..~', '.##..', '~...#'], [2, 3], [[2, 1], [0, 1], [4, 3], [1, 2], [1, 0]], 0, 5],\n   [[0, 1]]),\n  ('regression spawn spacing #4',\n   [['.#~', '.#.', '~..', '.#.', '.#.', '.##', '...'], [3, 1], [[5, 2], [1, 0], [1, 1], [2, 1]], 1, 2],\n   [[1, 0]]),\n  ('exact safe radius #1', [['.....', '.....'], [0, 0], [[1, 1], [0, 2]], 2, 2], [[0, 2]]),\n  ('negative index candidate #1', [['...', '...', '..#'], [0, 0], [[-1, -1], [2, 0]], 1, 2], [[2, 0]]),\n  ('control #1',\n   [['.#~', '...', '~.#', '#.~', '..#', '#~.'], [3, 1], [[5, 0], [1, 0], [6, -1], [6, -1]], 0, 5],\n   [[1, 0]])],\n [('diagonal neighbour spawn #1', [['....', '....', '....'], [0, 0], [[1, 2], [2, 3]], 1, 3], [[1, 2]]),\n  ('fault site spawn spacing #1',\n   [['...', '..#', '..~', '..#', '.~.', '...', '.~.', '.~#'],\n    [7, 1],\n    [[6, 3], [-1, 0], [2, 1], [7, 1], [3, 1]],\n    3,\n    5],\n   [[2, 1]]),\n  ('fault site spawn spacing #2',\n   [['..~.~', '..#..', '.~...', '..~.~', '.~#..', '.....', '.....'],\n    [0, 2],\n    [[2, 0], [4, 5], [5, 0], [0, 5], [5, 4], [7, 1], [-1, -1], [4, 0], [7, 3]],\n    3,\n    3],\n   [[5, 0], [5, 4]]),\n  ('regression spawn spacing #1',\n   [['.#~', '.#.', '~..', '.#.', '.#.', '.##', '...'], [3, 1], [[5, 2], [1, 0], [1, 1], [2, 1]], 1, 2],\n   [[1, 0]]),\n  ('regression spawn spacing #2',\n   [['#.......', '.~~..#.#', '.~......', '.#......', '..#~#...', '#.##..~.', '......~.', '.##...##'],\n    [6, 3],\n    [[0, -1], [4, 0], [1, 3], [3, 8], [5, 1], [1, -1], [5, 3], [6, 2], [0, 0], [-1, 4]],\n    2,\n    5],\n   [[4, 0], [1, 3]]),\n  ('exact safe radius #1', [['.....', '.....'], [0, 0], [[1, 1], [0, 2]], 2, 2], [[0, 2]]),\n  ('negative index candidate #1', [['...', '...', '..#'], [0, 0], [[-1, -1], [2, 0]], 1, 2], [[2, 0]]),\n  ('control #1',\n   [['...#...', '......~', '~~.....', '..~....', '.~....~', '.....#.'], [5, 2], [[1, 5]], 0, 0],\n   [])]]\nfor label, args, expected in cases[N-1]:\n    check(label, solve(*args), expected)\nprint(json.dumps({\"observations\": observations, \"passed\": all(x[\"passed\"] for x in observations)}, ensure_ascii=False))\nraise SystemExit(0 if all(x[\"passed\"] for x in observations) else 1)\n"},"broken":{"sha256":"5bbcdbba0eca32a6b93180dfd76586779667516d6e4235c7191e55c1f9659cc9","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(grid, player, candidates, min_dist, count):\n    chosen = []\n    pr, pc = player\n    for r, c in candidates:\n        if len(chosen) >= count:\n            break\n        if not (0 <= r < len(grid) and 0 <= c < len(grid[0])) or grid[r][c] != '.':\n            continue\n        if max(abs(r - pr), abs(c - pc)) < min_dist:\n            continue\n        if any(max(abs(r - a), abs(c - b)) < 1 for a, b in chosen):\n            continue\n        chosen.append([r, c])\n    return chosen\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\ncases = [[('diagonal neighbour spawn #1', [['....', '....', '....'], [0, 0], [[1, 2], [2, 3]], 1, 3], [[1, 2]]),\n  ('regression spawn spacing #1',\n   [['...#', '.#..', '#.#~', '~~.~', '~~#.', '~##.', '....', '...#'],\n    [1, 2],\n    [[0, 1], [6, 4], [5, 4], [4, 1], [4, 0], [6, 1], [0, 4], [7, 2], [5, 3], [-1, 1]],\n    3,\n    2],\n   [[6, 1], [5, 3]]),\n  ('fault site spawn spacing #1',\n   [['.~.', '#..', '.#.', '...', '..#', '.~.', '#..', '~..'],\n    [0, 2],\n    [[3, 3], [3, 1], [3, 0], [7, -1], [4, 3], [7, 1]],\n    3,\n    2],\n   [[3, 1], [7, 1]]),\n  ('regression spawn spacing #2',\n   [['...#.#', '~.#...', '...#..', '......', '.~..~.', '#...#.', '....~.'],\n    [2, 4],\n    [[3, 4], [0, 0], [4, 3], [1, 0], [3, 2], [3, 0], [7, 0], [7, 6]],\n    0,\n    5],\n   [[3, 4], [0, 0], [3, 2], [3, 0]]),\n  ('regression spawn spacing #3',\n   [['..~...', '#.~...', '.#....'],\n    [0, 5],\n    [[0, 3], [0, 0], [1, 1], [3, 3], [2, 1], [0, 1], [0, 5], [2, 4], [2, 3], [1, 4]],\n    1,\n    3],\n   [[0, 3], [0, 0], [2, 4]]),\n  ('exact safe radius #1', [['.....', '.....'], [0, 0], [[1, 1], [0, 2]], 2, 2], [[0, 2]]),\n  ('negative index candidate #1', [['...', '...', '..#'], [0, 0], [[-1, -1], [2, 0]], 1, 2], [[2, 0]]),\n  ('control #1',\n   [['#.#', '...', '#.#', '.#.', '...', '...', '...', '##.'], [6, 2], [[2, -1], [7, 2]], 0, 0],\n   [])],\n [('diagonal neighbour spawn #1', [['....', '....', '....'], [0, 0], [[1, 2], [2, 3]], 1, 3], [[1, 2]]),\n  ('fault site spawn spacing #1',\n   [['.~.', '#..', '.#.', '...', '..#', '.~.', '#..', '~..'],\n    [0, 2],\n    [[3, 3], [3, 1], [3, 0], [7, -1], [4, 3], [7, 1]],\n    3,\n    2],\n   [[3, 1], [7, 1]]),\n  ('regression spawn spacing #1',\n   [['...#.#', '~.#...', '...#..', '......', '.~..~.', '#...#.', '....~.'],\n    [2, 4],\n    [[3, 4], [0, 0], [4, 3], [1, 0], [3, 2], [3, 0], [7, 0], [7, 6]],\n    0,\n    5],\n   [[3, 4], [0, 0], [3, 2], [3, 0]]),\n  ('regression spawn spacing #2',\n   [['..~...', '#.~...', '.#....'],\n    [0, 5],\n    [[0, 3], [0, 0], [1, 1], [3, 3], [2, 1], [0, 1], [0, 5], [2, 4], [2, 3], [1, 4]],\n    1,\n    3],\n   [[0, 3], [0, 0], [2, 4]]),\n  ('regression spawn spacing #3',\n   [['...#.~..', '.#~.....', '.......#', '#...#..#'],\n    [0, 3],\n    [[4, -1], [2, 6], [-1, 6], [4, 8], [-1, -1], [1, -1], [1, -1], [2, 8], [4, 2], [3, 5]],\n    1,\n    2],\n   [[2, 6]]),\n  ('exact safe radius #1', [['.....', '.....'], [0, 0], [[1, 1], [0, 2]], 2, 2], [[0, 2]]),\n  ('negative index candidate #1', [['...', '...', '..#'], [0, 0], [[-1, -1], [2, 0]], 1, 2], [[2, 0]]),\n  ('control #1',\n   [['#.#', '...', '#.#', '.#.', '...', '...', '...', '##.'], [6, 2], [[2, -1], [7, 2]], 0, 0],\n   [])],\n [('diagonal neighbour spawn #1', [['....', '....', '....'], [0, 0], [[1, 2], [2, 3]], 1, 3], [[1, 2]]),\n  ('regression spawn spacing #1',\n   [['..~...', '#.~...', '.#....'],\n    [0, 5],\n    [[0, 3], [0, 0], [1, 1], [3, 3], [2, 1], [0, 1], [0, 5], [2, 4], [2, 3], [1, 4]],\n    1,\n    3],\n   [[0, 3], [0, 0], [2, 4]]),\n  ('regression spawn spacing #2',\n   [['...#.~..', '.#~.....', '.......#', '#...#..#'],\n    [0, 3],\n    [[4, -1], [2, 6], [-1, 6], [4, 8], [-1, -1], [1, -1], [1, -1], [2, 8], [4, 2], [3, 5]],\n    1,\n    2],\n   [[2, 6]]),\n  ('regression spawn spacing #3',\n   [['.~..', '#...', '..~.'],\n    [0, 2],\n    [[1, 0], [3, -1], [1, 2], [-1, 1], [1, 3], [3, 0], [1, 0], [2, 1]],\n    1,\n    5],\n   [[1, 2]]),\n  ('regression spawn spacing #4',\n   [['...', '~..', '#~~', '...'],\n    [2, 1],\n    [[0, 2], [2, -1], [1, 1], [2, 1], [2, 1], [3, -1], [2, -1], [2, 1], [-1, 3], [-1, -1]],\n    0,\n    3],\n   [[0, 2]]),\n  ('exact safe radius #1', [['.....', '.....'], [0, 0], [[1, 1], [0, 2]], 2, 2], [[0, 2]]),\n  ('negative index candidate #1', [['...', '...', '..#'], [0, 0], [[-1, -1], [2, 0]], 1, 2], [[2, 0]]),\n  ('control #1',\n   [['#.#', '...', '#.#', '.#.', '...', '...', '...', '##.'], [6, 2], [[2, -1], [7, 2]], 0, 0],\n   [])],\n [('diagonal neighbour spawn #1', [['....', '....', '....'], [0, 0], [[1, 2], [2, 3]], 1, 3], [[1, 2]]),\n  ('regression spawn spacing #1',\n   [['.~..', '#...', '..~.'],\n    [0, 2],\n    [[1, 0], [3, -1], [1, 2], [-1, 1], [1, 3], [3, 0], [1, 0], [2, 1]],\n    1,\n    5],\n   [[1, 2]]),\n  ('regression spawn spacing #2',\n   [['...', '~..', '#~~', '...'],\n    [2, 1],\n    [[0, 2], [2, -1], [1, 1], [2, 1], [2, 1], [3, -1], [2, -1], [2, 1], [-1, 3], [-1, -1]],\n    0,\n    3],\n   [[0, 2]]),\n  ('regression spawn spacing #3',\n   [['..#..', '.#..~', '.##..', '~...#'], [2, 3], [[2, 1], [0, 1], [4, 3], [1, 2], [1, 0]], 0, 5],\n   [[0, 1]]),\n  ('regression spawn spacing #4',\n   [['.#~', '.#.', '~..', '.#.', '.#.', '.##', '...'], [3, 1], [[5, 2], [1, 0], [1, 1], [2, 1]], 1, 2],\n   [[1, 0]]),\n  ('exact safe radius #1', [['.....', '.....'], [0, 0], [[1, 1], [0, 2]], 2, 2], [[0, 2]]),\n  ('negative index candidate #1', [['...', '...', '..#'], [0, 0], [[-1, -1], [2, 0]], 1, 2], [[2, 0]]),\n  ('control #1',\n   [['.#~', '...', '~.#', '#.~', '..#', '#~.'], [3, 1], [[5, 0], [1, 0], [6, -1], [6, -1]], 0, 5],\n   [[1, 0]])],\n [('diagonal neighbour spawn #1', [['....', '....', '....'], [0, 0], [[1, 2], [2, 3]], 1, 3], [[1, 2]]),\n  ('fault site spawn spacing #1',\n   [['...', '..#', '..~', '..#', '.~.', '...', '.~.', '.~#'],\n    [7, 1],\n    [[6, 3], [-1, 0], [2, 1], [7, 1], [3, 1]],\n    3,\n    5],\n   [[2, 1]]),\n  ('fault site spawn spacing #2',\n   [['..~.~', '..#..', '.~...', '..~.~', '.~#..', '.....', '.....'],\n    [0, 2],\n    [[2, 0], [4, 5], [5, 0], [0, 5], [5, 4], [7, 1], [-1, -1], [4, 0], [7, 3]],\n    3,\n    3],\n   [[5, 0], [5, 4]]),\n  ('regression spawn spacing #1',\n   [['.#~', '.#.', '~..', '.#.', '.#.', '.##', '...'], [3, 1], [[5, 2], [1, 0], [1, 1], [2, 1]], 1, 2],\n   [[1, 0]]),\n  ('regression spawn spacing #2',\n   [['#.......', '.~~..#.#', '.~......', '.#......', '..#~#...', '#.##..~.', '......~.', '.##...##'],\n    [6, 3],\n    [[0, -1], [4, 0], [1, 3], [3, 8], [5, 1], [1, -1], [5, 3], [6, 2], [0, 0], [-1, 4]],\n    2,\n    5],\n   [[4, 0], [1, 3]]),\n  ('exact safe radius #1', [['.....', '.....'], [0, 0], [[1, 1], [0, 2]], 2, 2], [[0, 2]]),\n  ('negative index candidate #1', [['...', '...', '..#'], [0, 0], [[-1, -1], [2, 0]], 1, 2], [[2, 0]]),\n  ('control #1',\n   [['...#...', '......~', '~~.....', '..~....', '.~....~', '.....#.'], [5, 2], [[1, 5]], 0, 0],\n   [])]]\nfor label, args, expected in cases[N-1]:\n    check(label, solve(*args), expected)\nprint(json.dumps({\"observations\": observations, \"passed\": all(x[\"passed\"] for x in observations)}, ensure_ascii=False))\nraise SystemExit(0 if all(x[\"passed\"] for x in observations) else 1)\n"}},"limitations":"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.","method":"Deterministic executable model with adversarial boundary fixtures.","provenance":{"created_by":"Failure Map","dependencies":"Python standard library","family":"w2-procedural-level-generation-constraints-spawn-points-spawn-spacing","generated_at":"2026-09-29T14:50:49.547025+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"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.","root_cause":"Spacing only rejects identical cells.","sha256":"8a29a2f67243ddb79b435840e1dac2f35809f253b0b42732c8124da3346fdfd3","title":"Enemy spawn point selection: Spawns may touch each other · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verified":true,"visibility":"public","verification":{"attempt":{"elapsed_ms":43.672,"exit_code":1,"observations":[{"actual":[[1,2],[2,3]],"check":"diagonal neighbour spawn #1","expected":[[1,2]],"passed":false},{"actual":[[6,1],[7,2]],"check":"regression spawn spacing #1","expected":[[6,1],[5,3]],"passed":false},{"actual":[[3,1],[7,1]],"check":"fault site spawn spacing #1","expected":[[3,1],[7,1]],"passed":true},{"actual":[[3,4],[0,0],[4,3],[3,2],[3,0]],"check":"regression spawn spacing #2","expected":[[3,4],[0,0],[3,2],[3,0]],"passed":false},{"actual":[[0,3],[0,0],[1,1]],"check":"regression spawn spacing #3","expected":[[0,3],[0,0],[2,4]],"passed":false},{"actual":[[0,2]],"check":"exact safe radius #1","expected":[[0,2]],"passed":true},{"actual":[[2,0]],"check":"negative index candidate #1","expected":[[2,0]],"passed":true},{"actual":[],"check":"control #1","expected":[],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"diagonal neighbour spawn #1\", \"actual\": [[1, 2], [2, 3]], \"expected\": [[1, 2]], \"passed\": false}, {\"check\": \"regression spawn spacing #1\", \"actual\": [[6, 1], [7, 2]], \"expected\": [[6, 1], [5, 3]], \"passed\": false}, {\"check\": \"fault site spawn spacing #1\", \"actual\": [[3, 1], [7, 1]], \"expected\": [[3, 1], [7, 1]], \"passed\": true}, {\"check\": \"regression spawn spacing #2\", \"actual\": [[3, 4], [0, 0], [4, 3], [3, 2], [3, 0]], \"expected\": [[3, 4], [0, 0], [3, 2], [3, 0]], \"passed\": false}, {\"check\": \"regression spawn spacing #3\", \"actual\": [[0, 3], [0, 0], [1, 1]], \"expected\": [[0, 3], [0, 0], [2, 4]], \"passed\": false}, {\"check\": \"exact safe radius #1\", \"actual\": [[0, 2]], \"expected\": [[0, 2]], \"passed\": true}, {\"check\": \"negative index candidate #1\", \"actual\": [[2, 0]], \"expected\": [[2, 0]], \"passed\": true}, {\"check\": \"control #1\", \"actual\": [], \"expected\": [], \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":41.463,"exit_code":1,"observations":[{"actual":[[1,2],[2,3]],"check":"diagonal neighbour spawn #1","expected":[[1,2]],"passed":false},{"actual":[[6,1],[7,2]],"check":"regression spawn spacing #1","expected":[[6,1],[5,3]],"passed":false},{"actual":[[3,1],[3,0]],"check":"fault site spawn spacing #1","expected":[[3,1],[7,1]],"passed":false},{"actual":[[3,4],[0,0],[4,3],[3,2],[3,0]],"check":"regression spawn spacing #2","expected":[[3,4],[0,0],[3,2],[3,0]],"passed":false},{"actual":[[0,3],[0,0],[1,1]],"check":"regression spawn spacing #3","expected":[[0,3],[0,0],[2,4]],"passed":false},{"actual":[[0,2]],"check":"exact safe radius #1","expected":[[0,2]],"passed":true},{"actual":[[2,0]],"check":"negative index candidate #1","expected":[[2,0]],"passed":true},{"actual":[],"check":"control #1","expected":[],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"diagonal neighbour spawn #1\", \"actual\": [[1, 2], [2, 3]], \"expected\": [[1, 2]], \"passed\": false}, {\"check\": \"regression spawn spacing #1\", \"actual\": [[6, 1], [7, 2]], \"expected\": [[6, 1], [5, 3]], \"passed\": false}, {\"check\": \"fault site spawn spacing #1\", \"actual\": [[3, 1], [3, 0]], \"expected\": [[3, 1], [7, 1]], \"passed\": false}, {\"check\": \"regression spawn spacing #2\", \"actual\": [[3, 4], [0, 0], [4, 3], [3, 2], [3, 0]], \"expected\": [[3, 4], [0, 0], [3, 2], [3, 0]], \"passed\": false}, {\"check\": \"regression spawn spacing #3\", \"actual\": [[0, 3], [0, 0], [1, 1]], \"expected\": [[0, 3], [0, 0], [2, 4]], \"passed\": false}, {\"check\": \"exact safe radius #1\", \"actual\": [[0, 2]], \"expected\": [[0, 2]], \"passed\": true}, {\"check\": \"negative index candidate #1\", \"actual\": [[2, 0]], \"expected\": [[2, 0]], \"passed\": true}, {\"check\": \"control #1\", \"actual\": [], \"expected\": [], \"passed\": true}], \"passed\": false}\n"}},"member_only":{"stages":["fixed"],"fields":["implementations.fixed","verification.fixed","harness","repair"],"note":"The verified repair, its recorded checks, the repair description, and the scoring harness are available to members."}}