{"abstract":"Platforms two hops away are reported unreachable.","category":"Procedural level generation constraints","checks":8,"contract":"platforms [x1, x2, y] (y grows upward); the player starts on platform 0. From A the player reaches B when rise = yB-yA <= jump_h (any drop is allowed) and the horizontal gap max(0, xB1-xA2, xA1-xB2) <= jump_d - max(0, rise)//2. Reachability is transitive. Returns sorted reachable indices.","evaluation_group":"w2-procedural-level-generation-constraints-platform-jumps","failed_approach":"Skipping expansion of the last-listed platform breaks routes through it.","family":"w2-procedural-level-generation-constraints-platform-jumps-transitive-expansion","id":"FA-86476","implementations":{"attempt":{"sha256":"592d77baa7b694c72dd103f779c8d1b8c7c3b1f19d7015bd0578190d53c1ab43","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(platforms, jump_h, jump_d):\n    n = len(platforms)\n    seen = {0}\n    queue = [0]\n    while queue:\n        a = queue.pop(0)\n        ax1, ax2, ay = platforms[a]\n        for b in range(n):\n            if b in seen:\n                continue\n            bx1, bx2, by = platforms[b]\n            rise = by - ay\n            if rise > jump_h:\n                continue\n            gap = max(0, bx1 - ax2, ax1 - bx2)\n            reach = jump_d - max(0, rise) // 2\n            if gap <= reach:\n                seen.add(b)\n                if b < n - 1:\n                    queue.append(b)\n    return sorted(seen)\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\ncases = [[('chain of hops #1', [[[0, 1, 0], [3, 4, 2], [6, 7, 4]], 2, 3], [0, 1, 2]),\n  ('fault site transitive expansion #1',\n   [[[5, 9, 8], [7, 13, 0], [0, 2, 9], [13, 13, 2], [25, 31, 3]], 2, 1],\n   [0, 1, 3]),\n  ('fault site transitive expansion #2',\n   [[[23, 29, 6], [19, 22, 0], [30, 32, 8], [15, 20, 1]], 3, 1],\n   [0, 1, 3]),\n  ('regression transitive expansion #1',\n   [[[12, 16, 3], [7, 11, 9], [29, 32, 0], [21, 25, 1]], 1, 7],\n   [0, 2, 3]),\n  ('regression transitive expansion #2',\n   [[[21, 26, 3], [4, 8, 8], [17, 17, 5], [15, 15, 8]], 5, 7],\n   [0, 1, 2, 3]),\n  ('deep drop #1', [[[0, 2, 10], [3, 5, 0]], 2, 2], [0, 1]),\n  ('platform to the left #1', [[[10, 12, 0], [4, 7, 0]], 1, 3], [0, 1]),\n  ('control #1', [[[13, 18, 6], [20, 22, 7]], 2, 8], [0, 1])],\n [('chain of hops #1', [[[0, 1, 0], [3, 4, 2], [6, 7, 4]], 2, 3], [0, 1, 2]),\n  ('fault site transitive expansion #1',\n   [[[23, 29, 6], [19, 22, 0], [30, 32, 8], [15, 20, 1]], 3, 1],\n   [0, 1, 3]),\n  ('fault site transitive expansion #2',\n   [[[18, 18, 5], [15, 19, 6], [21, 22, 3], [5, 9, 1], [14, 20, 6], [24, 29, 7]], 1, 5],\n   [0, 1, 2, 3, 4, 5]),\n  ('regression transitive expansion #1', [[[20, 25, 8], [11, 14, 10], [17, 17, 9]], 1, 5], [0, 1, 2]),\n  ('regression transitive expansion #2',\n   [[[10, 12, 7], [25, 29, 6], [11, 12, 0], [29, 33, 1], [18, 23, 3]], 1, 7],\n   [0, 2, 3, 4]),\n  ('deep drop #1', [[[0, 2, 10], [3, 5, 0]], 2, 2], [0, 1]),\n  ('platform to the left #1', [[[10, 12, 0], [4, 7, 0]], 1, 3], [0, 1]),\n  ('control #1', [[[13, 18, 6], [20, 22, 7]], 2, 8], [0, 1])],\n [('chain of hops #1', [[[0, 1, 0], [3, 4, 2], [6, 7, 4]], 2, 3], [0, 1, 2]),\n  ('fault site transitive expansion #1', [[[25, 26, 5], [19, 25, 6], [15, 19, 7]], 3, 3], [0, 1, 2]),\n  ('fault site transitive expansion #2',\n   [[[18, 20, 2], [24, 29, 0], [12, 17, 2], [30, 35, 0], [8, 12, 5]], 2, 7],\n   [0, 1, 2, 3]),\n  ('regression transitive expansion #1',\n   [[[21, 24, 8], [23, 27, 3], [5, 8, 4], [23, 26, 8], [14, 18, 5]], 2, 7],\n   [0, 1, 2, 3, 4]),\n  ('regression transitive expansion #2',\n   [[[18, 19, 7], [4, 10, 1], [9, 10, 6], [9, 13, 0]], 4, 6],\n   [0, 1, 3]),\n  ('deep drop #1', [[[0, 2, 10], [3, 5, 0]], 2, 2], [0, 1]),\n  ('platform to the left #1', [[[10, 12, 0], [4, 7, 0]], 1, 3], [0, 1]),\n  ('control #1', [[[13, 18, 6], [20, 22, 7]], 2, 8], [0, 1])],\n [('chain of hops #1', [[[0, 1, 0], [3, 4, 2], [6, 7, 4]], 2, 3], [0, 1, 2]),\n  ('fault site transitive expansion #1',\n   [[[7, 9, 9], [10, 15, 0], [7, 10, 2], [9, 14, 4], [26, 30, 8], [15, 19, 1]], 5, 1],\n   [0, 1, 2, 3, 5]),\n  ('fault site transitive expansion #2',\n   [[[19, 24, 5], [30, 34, 4], [9, 14, 9], [16, 22, 8], [6, 6, 9]], 3, 4],\n   [0, 2, 3, 4]),\n  ('regression transitive expansion #1',\n   [[[26, 32, 0], [21, 21, 0], [26, 28, 7], [2, 2, 10], [27, 31, 0], [17, 21, 4]], 5, 7],\n   [0, 1, 2, 4, 5]),\n  ('regression transitive expansion #2',\n   [[[15, 15, 8], [15, 19, 0], [27, 31, 2], [2, 8, 3], [10, 10, 2], [20, 25, 4]], 1, 5],\n   [0, 1, 2, 3, 4, 5]),\n  ('deep drop #1', [[[0, 2, 10], [3, 5, 0]], 2, 2], [0, 1]),\n  ('platform to the left #1', [[[10, 12, 0], [4, 7, 0]], 1, 3], [0, 1]),\n  ('control #1', [[[23, 29, 1], [3, 9, 0]], 4, 3], [0])],\n [('chain of hops #1', [[[0, 1, 0], [3, 4, 2], [6, 7, 4]], 2, 3], [0, 1, 2]),\n  ('fault site transitive expansion #1',\n   [[[20, 25, 7], [15, 19, 8], [12, 15, 1], [7, 7, 0], [21, 24, 0], [7, 9, 9]], 4, 7],\n   [0, 1, 2, 3, 4, 5]),\n  ('regression transitive expansion #1',\n   [[[12, 16, 3], [7, 11, 9], [29, 32, 0], [21, 25, 1]], 1, 7],\n   [0, 2, 3]),\n  ('regression transitive expansion #2',\n   [[[26, 32, 8], [7, 8, 1], [25, 27, 9], [8, 14, 9], [23, 29, 10], [15, 18, 5]], 3, 8],\n   [0, 1, 2, 4, 5]),\n  ('regression transitive expansion #3',\n   [[[14, 17, 6], [24, 27, 5], [17, 17, 10], [19, 25, 8]], 3, 3],\n   [0, 1, 2, 3]),\n  ('deep drop #1', [[[0, 2, 10], [3, 5, 0]], 2, 2], [0, 1]),\n  ('platform to the left #1', [[[10, 12, 0], [4, 7, 0]], 1, 3], [0, 1]),\n  ('control #1', [[[23, 25, 6], [15, 16, 2], [21, 21, 7], [27, 33, 3], [2, 8, 3]], 2, 2], [0, 2, 3])]]\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":"5afac44b845f50658a48d09553c584f6cb3db0ef7fbda22fe0e968103e76a91a","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(platforms, jump_h, jump_d):\n    n = len(platforms)\n    seen = {0}\n    queue = [0]\n    while queue:\n        a = queue.pop(0)\n        ax1, ax2, ay = platforms[a]\n        for b in range(n):\n            if b in seen:\n                continue\n            bx1, bx2, by = platforms[b]\n            rise = by - ay\n            if rise > jump_h:\n                continue\n            gap = max(0, bx1 - ax2, ax1 - bx2)\n            reach = jump_d - max(0, rise) // 2\n            if gap <= reach:\n                seen.add(b)\n    return sorted(seen)\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\ncases = [[('chain of hops #1', [[[0, 1, 0], [3, 4, 2], [6, 7, 4]], 2, 3], [0, 1, 2]),\n  ('fault site transitive expansion #1',\n   [[[5, 9, 8], [7, 13, 0], [0, 2, 9], [13, 13, 2], [25, 31, 3]], 2, 1],\n   [0, 1, 3]),\n  ('fault site transitive expansion #2',\n   [[[23, 29, 6], [19, 22, 0], [30, 32, 8], [15, 20, 1]], 3, 1],\n   [0, 1, 3]),\n  ('regression transitive expansion #1',\n   [[[12, 16, 3], [7, 11, 9], [29, 32, 0], [21, 25, 1]], 1, 7],\n   [0, 2, 3]),\n  ('regression transitive expansion #2',\n   [[[21, 26, 3], [4, 8, 8], [17, 17, 5], [15, 15, 8]], 5, 7],\n   [0, 1, 2, 3]),\n  ('deep drop #1', [[[0, 2, 10], [3, 5, 0]], 2, 2], [0, 1]),\n  ('platform to the left #1', [[[10, 12, 0], [4, 7, 0]], 1, 3], [0, 1]),\n  ('control #1', [[[13, 18, 6], [20, 22, 7]], 2, 8], [0, 1])],\n [('chain of hops #1', [[[0, 1, 0], [3, 4, 2], [6, 7, 4]], 2, 3], [0, 1, 2]),\n  ('fault site transitive expansion #1',\n   [[[23, 29, 6], [19, 22, 0], [30, 32, 8], [15, 20, 1]], 3, 1],\n   [0, 1, 3]),\n  ('fault site transitive expansion #2',\n   [[[18, 18, 5], [15, 19, 6], [21, 22, 3], [5, 9, 1], [14, 20, 6], [24, 29, 7]], 1, 5],\n   [0, 1, 2, 3, 4, 5]),\n  ('regression transitive expansion #1', [[[20, 25, 8], [11, 14, 10], [17, 17, 9]], 1, 5], [0, 1, 2]),\n  ('regression transitive expansion #2',\n   [[[10, 12, 7], [25, 29, 6], [11, 12, 0], [29, 33, 1], [18, 23, 3]], 1, 7],\n   [0, 2, 3, 4]),\n  ('deep drop #1', [[[0, 2, 10], [3, 5, 0]], 2, 2], [0, 1]),\n  ('platform to the left #1', [[[10, 12, 0], [4, 7, 0]], 1, 3], [0, 1]),\n  ('control #1', [[[13, 18, 6], [20, 22, 7]], 2, 8], [0, 1])],\n [('chain of hops #1', [[[0, 1, 0], [3, 4, 2], [6, 7, 4]], 2, 3], [0, 1, 2]),\n  ('fault site transitive expansion #1', [[[25, 26, 5], [19, 25, 6], [15, 19, 7]], 3, 3], [0, 1, 2]),\n  ('fault site transitive expansion #2',\n   [[[18, 20, 2], [24, 29, 0], [12, 17, 2], [30, 35, 0], [8, 12, 5]], 2, 7],\n   [0, 1, 2, 3]),\n  ('regression transitive expansion #1',\n   [[[21, 24, 8], [23, 27, 3], [5, 8, 4], [23, 26, 8], [14, 18, 5]], 2, 7],\n   [0, 1, 2, 3, 4]),\n  ('regression transitive expansion #2',\n   [[[18, 19, 7], [4, 10, 1], [9, 10, 6], [9, 13, 0]], 4, 6],\n   [0, 1, 3]),\n  ('deep drop #1', [[[0, 2, 10], [3, 5, 0]], 2, 2], [0, 1]),\n  ('platform to the left #1', [[[10, 12, 0], [4, 7, 0]], 1, 3], [0, 1]),\n  ('control #1', [[[13, 18, 6], [20, 22, 7]], 2, 8], [0, 1])],\n [('chain of hops #1', [[[0, 1, 0], [3, 4, 2], [6, 7, 4]], 2, 3], [0, 1, 2]),\n  ('fault site transitive expansion #1',\n   [[[7, 9, 9], [10, 15, 0], [7, 10, 2], [9, 14, 4], [26, 30, 8], [15, 19, 1]], 5, 1],\n   [0, 1, 2, 3, 5]),\n  ('fault site transitive expansion #2',\n   [[[19, 24, 5], [30, 34, 4], [9, 14, 9], [16, 22, 8], [6, 6, 9]], 3, 4],\n   [0, 2, 3, 4]),\n  ('regression transitive expansion #1',\n   [[[26, 32, 0], [21, 21, 0], [26, 28, 7], [2, 2, 10], [27, 31, 0], [17, 21, 4]], 5, 7],\n   [0, 1, 2, 4, 5]),\n  ('regression transitive expansion #2',\n   [[[15, 15, 8], [15, 19, 0], [27, 31, 2], [2, 8, 3], [10, 10, 2], [20, 25, 4]], 1, 5],\n   [0, 1, 2, 3, 4, 5]),\n  ('deep drop #1', [[[0, 2, 10], [3, 5, 0]], 2, 2], [0, 1]),\n  ('platform to the left #1', [[[10, 12, 0], [4, 7, 0]], 1, 3], [0, 1]),\n  ('control #1', [[[23, 29, 1], [3, 9, 0]], 4, 3], [0])],\n [('chain of hops #1', [[[0, 1, 0], [3, 4, 2], [6, 7, 4]], 2, 3], [0, 1, 2]),\n  ('fault site transitive expansion #1',\n   [[[20, 25, 7], [15, 19, 8], [12, 15, 1], [7, 7, 0], [21, 24, 0], [7, 9, 9]], 4, 7],\n   [0, 1, 2, 3, 4, 5]),\n  ('regression transitive expansion #1',\n   [[[12, 16, 3], [7, 11, 9], [29, 32, 0], [21, 25, 1]], 1, 7],\n   [0, 2, 3]),\n  ('regression transitive expansion #2',\n   [[[26, 32, 8], [7, 8, 1], [25, 27, 9], [8, 14, 9], [23, 29, 10], [15, 18, 5]], 3, 8],\n   [0, 1, 2, 4, 5]),\n  ('regression transitive expansion #3',\n   [[[14, 17, 6], [24, 27, 5], [17, 17, 10], [19, 25, 8]], 3, 3],\n   [0, 1, 2, 3]),\n  ('deep drop #1', [[[0, 2, 10], [3, 5, 0]], 2, 2], [0, 1]),\n  ('platform to the left #1', [[[10, 12, 0], [4, 7, 0]], 1, 3], [0, 1]),\n  ('control #1', [[[23, 25, 6], [15, 16, 2], [21, 21, 7], [27, 33, 3], [2, 8, 3]], 2, 2], [0, 2, 3])]]\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"},"fixed":{"sha256":"66c263590748fc3948d057f1c7b36abf0237447b5888c00d2be699c70703a5a3","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(platforms, jump_h, jump_d):\n    n = len(platforms)\n    seen = {0}\n    queue = [0]\n    while queue:\n        a = queue.pop(0)\n        ax1, ax2, ay = platforms[a]\n        for b in range(n):\n            if b in seen:\n                continue\n            bx1, bx2, by = platforms[b]\n            rise = by - ay\n            if rise > jump_h:\n                continue\n            gap = max(0, bx1 - ax2, ax1 - bx2)\n            reach = jump_d - max(0, rise) // 2\n            if gap <= reach:\n                seen.add(b)\n                queue.append(b)\n    return sorted(seen)\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\ncases = [[('chain of hops #1', [[[0, 1, 0], [3, 4, 2], [6, 7, 4]], 2, 3], [0, 1, 2]),\n  ('fault site transitive expansion #1',\n   [[[5, 9, 8], [7, 13, 0], [0, 2, 9], [13, 13, 2], [25, 31, 3]], 2, 1],\n   [0, 1, 3]),\n  ('fault site transitive expansion #2',\n   [[[23, 29, 6], [19, 22, 0], [30, 32, 8], [15, 20, 1]], 3, 1],\n   [0, 1, 3]),\n  ('regression transitive expansion #1',\n   [[[12, 16, 3], [7, 11, 9], [29, 32, 0], [21, 25, 1]], 1, 7],\n   [0, 2, 3]),\n  ('regression transitive expansion #2',\n   [[[21, 26, 3], [4, 8, 8], [17, 17, 5], [15, 15, 8]], 5, 7],\n   [0, 1, 2, 3]),\n  ('deep drop #1', [[[0, 2, 10], [3, 5, 0]], 2, 2], [0, 1]),\n  ('platform to the left #1', [[[10, 12, 0], [4, 7, 0]], 1, 3], [0, 1]),\n  ('control #1', [[[13, 18, 6], [20, 22, 7]], 2, 8], [0, 1])],\n [('chain of hops #1', [[[0, 1, 0], [3, 4, 2], [6, 7, 4]], 2, 3], [0, 1, 2]),\n  ('fault site transitive expansion #1',\n   [[[23, 29, 6], [19, 22, 0], [30, 32, 8], [15, 20, 1]], 3, 1],\n   [0, 1, 3]),\n  ('fault site transitive expansion #2',\n   [[[18, 18, 5], [15, 19, 6], [21, 22, 3], [5, 9, 1], [14, 20, 6], [24, 29, 7]], 1, 5],\n   [0, 1, 2, 3, 4, 5]),\n  ('regression transitive expansion #1', [[[20, 25, 8], [11, 14, 10], [17, 17, 9]], 1, 5], [0, 1, 2]),\n  ('regression transitive expansion #2',\n   [[[10, 12, 7], [25, 29, 6], [11, 12, 0], [29, 33, 1], [18, 23, 3]], 1, 7],\n   [0, 2, 3, 4]),\n  ('deep drop #1', [[[0, 2, 10], [3, 5, 0]], 2, 2], [0, 1]),\n  ('platform to the left #1', [[[10, 12, 0], [4, 7, 0]], 1, 3], [0, 1]),\n  ('control #1', [[[13, 18, 6], [20, 22, 7]], 2, 8], [0, 1])],\n [('chain of hops #1', [[[0, 1, 0], [3, 4, 2], [6, 7, 4]], 2, 3], [0, 1, 2]),\n  ('fault site transitive expansion #1', [[[25, 26, 5], [19, 25, 6], [15, 19, 7]], 3, 3], [0, 1, 2]),\n  ('fault site transitive expansion #2',\n   [[[18, 20, 2], [24, 29, 0], [12, 17, 2], [30, 35, 0], [8, 12, 5]], 2, 7],\n   [0, 1, 2, 3]),\n  ('regression transitive expansion #1',\n   [[[21, 24, 8], [23, 27, 3], [5, 8, 4], [23, 26, 8], [14, 18, 5]], 2, 7],\n   [0, 1, 2, 3, 4]),\n  ('regression transitive expansion #2',\n   [[[18, 19, 7], [4, 10, 1], [9, 10, 6], [9, 13, 0]], 4, 6],\n   [0, 1, 3]),\n  ('deep drop #1', [[[0, 2, 10], [3, 5, 0]], 2, 2], [0, 1]),\n  ('platform to the left #1', [[[10, 12, 0], [4, 7, 0]], 1, 3], [0, 1]),\n  ('control #1', [[[13, 18, 6], [20, 22, 7]], 2, 8], [0, 1])],\n [('chain of hops #1', [[[0, 1, 0], [3, 4, 2], [6, 7, 4]], 2, 3], [0, 1, 2]),\n  ('fault site transitive expansion #1',\n   [[[7, 9, 9], [10, 15, 0], [7, 10, 2], [9, 14, 4], [26, 30, 8], [15, 19, 1]], 5, 1],\n   [0, 1, 2, 3, 5]),\n  ('fault site transitive expansion #2',\n   [[[19, 24, 5], [30, 34, 4], [9, 14, 9], [16, 22, 8], [6, 6, 9]], 3, 4],\n   [0, 2, 3, 4]),\n  ('regression transitive expansion #1',\n   [[[26, 32, 0], [21, 21, 0], [26, 28, 7], [2, 2, 10], [27, 31, 0], [17, 21, 4]], 5, 7],\n   [0, 1, 2, 4, 5]),\n  ('regression transitive expansion #2',\n   [[[15, 15, 8], [15, 19, 0], [27, 31, 2], [2, 8, 3], [10, 10, 2], [20, 25, 4]], 1, 5],\n   [0, 1, 2, 3, 4, 5]),\n  ('deep drop #1', [[[0, 2, 10], [3, 5, 0]], 2, 2], [0, 1]),\n  ('platform to the left #1', [[[10, 12, 0], [4, 7, 0]], 1, 3], [0, 1]),\n  ('control #1', [[[23, 29, 1], [3, 9, 0]], 4, 3], [0])],\n [('chain of hops #1', [[[0, 1, 0], [3, 4, 2], [6, 7, 4]], 2, 3], [0, 1, 2]),\n  ('fault site transitive expansion #1',\n   [[[20, 25, 7], [15, 19, 8], [12, 15, 1], [7, 7, 0], [21, 24, 0], [7, 9, 9]], 4, 7],\n   [0, 1, 2, 3, 4, 5]),\n  ('regression transitive expansion #1',\n   [[[12, 16, 3], [7, 11, 9], [29, 32, 0], [21, 25, 1]], 1, 7],\n   [0, 2, 3]),\n  ('regression transitive expansion #2',\n   [[[26, 32, 8], [7, 8, 1], [25, 27, 9], [8, 14, 9], [23, 29, 10], [15, 18, 5]], 3, 8],\n   [0, 1, 2, 4, 5]),\n  ('regression transitive expansion #3',\n   [[[14, 17, 6], [24, 27, 5], [17, 17, 10], [19, 25, 8]], 3, 3],\n   [0, 1, 2, 3]),\n  ('deep drop #1', [[[0, 2, 10], [3, 5, 0]], 2, 2], [0, 1]),\n  ('platform to the left #1', [[[10, 12, 0], [4, 7, 0]], 1, 3], [0, 1]),\n  ('control #1', [[[23, 25, 6], [15, 16, 2], [21, 21, 7], [27, 33, 3], [2, 8, 3]], 2, 2], [0, 2, 3])]]\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-platform-jumps-transitive-expansion","generated_at":"2026-09-29T14:50:49.938211+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.","repair":"Restore `seen.add(b)\n            queue.append(b)` at the transitive expansion step.","root_cause":"Newly reached platforms are not expanded.","sha256":"f65d675d920f5ee1e7a28517907c63d3ca2494d08c2a9fc30d687cc92d280313","title":"Platform jump reachability: Only direct jumps count · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":40.401,"exit_code":1,"observations":[{"actual":[0,1,2],"check":"chain of hops #1","expected":[0,1,2],"passed":true},{"actual":[0,1,3],"check":"fault site transitive expansion #1","expected":[0,1,3],"passed":true},{"actual":[0,1,3],"check":"fault site transitive expansion #2","expected":[0,1,3],"passed":true},{"actual":[0,3],"check":"regression transitive expansion #1","expected":[0,2,3],"passed":false},{"actual":[0,2,3],"check":"regression transitive expansion #2","expected":[0,1,2,3],"passed":false},{"actual":[0,1],"check":"deep drop #1","expected":[0,1],"passed":true},{"actual":[0,1],"check":"platform to the left #1","expected":[0,1],"passed":true},{"actual":[0,1],"check":"control #1","expected":[0,1],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"chain of hops #1\", \"actual\": [0, 1, 2], \"expected\": [0, 1, 2], \"passed\": true}, {\"check\": \"fault site transitive expansion #1\", \"actual\": [0, 1, 3], \"expected\": [0, 1, 3], \"passed\": true}, {\"check\": \"fault site transitive expansion #2\", \"actual\": [0, 1, 3], \"expected\": [0, 1, 3], \"passed\": true}, {\"check\": \"regression transitive expansion #1\", \"actual\": [0, 3], \"expected\": [0, 2, 3], \"passed\": false}, {\"check\": \"regression transitive expansion #2\", \"actual\": [0, 2, 3], \"expected\": [0, 1, 2, 3], \"passed\": false}, {\"check\": \"deep drop #1\", \"actual\": [0, 1], \"expected\": [0, 1], \"passed\": true}, {\"check\": \"platform to the left #1\", \"actual\": [0, 1], \"expected\": [0, 1], \"passed\": true}, {\"check\": \"control #1\", \"actual\": [0, 1], \"expected\": [0, 1], \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":39.17,"exit_code":1,"observations":[{"actual":[0,1],"check":"chain of hops #1","expected":[0,1,2],"passed":false},{"actual":[0,1],"check":"fault site transitive expansion #1","expected":[0,1,3],"passed":false},{"actual":[0,1],"check":"fault site transitive expansion #2","expected":[0,1,3],"passed":false},{"actual":[0,3],"check":"regression transitive expansion #1","expected":[0,2,3],"passed":false},{"actual":[0,2],"check":"regression transitive expansion #2","expected":[0,1,2,3],"passed":false},{"actual":[0,1],"check":"deep drop #1","expected":[0,1],"passed":true},{"actual":[0,1],"check":"platform to the left #1","expected":[0,1],"passed":true},{"actual":[0,1],"check":"control #1","expected":[0,1],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"chain of hops #1\", \"actual\": [0, 1], \"expected\": [0, 1, 2], \"passed\": false}, {\"check\": \"fault site transitive expansion #1\", \"actual\": [0, 1], \"expected\": [0, 1, 3], \"passed\": false}, {\"check\": \"fault site transitive expansion #2\", \"actual\": [0, 1], \"expected\": [0, 1, 3], \"passed\": false}, {\"check\": \"regression transitive expansion #1\", \"actual\": [0, 3], \"expected\": [0, 2, 3], \"passed\": false}, {\"check\": \"regression transitive expansion #2\", \"actual\": [0, 2], \"expected\": [0, 1, 2, 3], \"passed\": false}, {\"check\": \"deep drop #1\", \"actual\": [0, 1], \"expected\": [0, 1], \"passed\": true}, {\"check\": \"platform to the left #1\", \"actual\": [0, 1], \"expected\": [0, 1], \"passed\": true}, {\"check\": \"control #1\", \"actual\": [0, 1], \"expected\": [0, 1], \"passed\": true}], \"passed\": false}\n"},"fixed":{"elapsed_ms":42.107,"exit_code":0,"observations":[{"actual":[0,1,2],"check":"chain of hops #1","expected":[0,1,2],"passed":true},{"actual":[0,1,3],"check":"fault site transitive expansion #1","expected":[0,1,3],"passed":true},{"actual":[0,1,3],"check":"fault site transitive expansion #2","expected":[0,1,3],"passed":true},{"actual":[0,2,3],"check":"regression transitive expansion #1","expected":[0,2,3],"passed":true},{"actual":[0,1,2,3],"check":"regression transitive expansion #2","expected":[0,1,2,3],"passed":true},{"actual":[0,1],"check":"deep drop #1","expected":[0,1],"passed":true},{"actual":[0,1],"check":"platform to the left #1","expected":[0,1],"passed":true},{"actual":[0,1],"check":"control #1","expected":[0,1],"passed":true}],"passed":true,"stderr":"","stdout":"{\"observations\": [{\"check\": \"chain of hops #1\", \"actual\": [0, 1, 2], \"expected\": [0, 1, 2], \"passed\": true}, {\"check\": \"fault site transitive expansion #1\", \"actual\": [0, 1, 3], \"expected\": [0, 1, 3], \"passed\": true}, {\"check\": \"fault site transitive expansion #2\", \"actual\": [0, 1, 3], \"expected\": [0, 1, 3], \"passed\": true}, {\"check\": \"regression transitive expansion #1\", \"actual\": [0, 2, 3], \"expected\": [0, 2, 3], \"passed\": true}, {\"check\": \"regression transitive expansion #2\", \"actual\": [0, 1, 2, 3], \"expected\": [0, 1, 2, 3], \"passed\": true}, {\"check\": \"deep drop #1\", \"actual\": [0, 1], \"expected\": [0, 1], \"passed\": true}, {\"check\": \"platform to the left #1\", \"actual\": [0, 1], \"expected\": [0, 1], \"passed\": true}, {\"check\": \"control #1\", \"actual\": [0, 1], \"expected\": [0, 1], \"passed\": true}], \"passed\": true}\n"}},"verified":true,"visibility":"public"}