{"abstract":"Players cannot drop down to lower platforms.","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":"The strict comparison rejects jumps of exactly jump height.","family":"w2-procedural-level-generation-constraints-platform-jumps-rise-limit","id":"FA-86456","implementations":{"attempt":{"sha256":"3ba39687d21528ea6f6fa79ae251de62847f85e137c28172b762021fff05a6f5","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 = [[('deep drop #1', [[[0, 2, 10], [3, 5, 0]], 2, 2], [0, 1]),\n  ('chain of hops #1', [[[0, 1, 0], [3, 4, 2], [6, 7, 4]], 2, 3], [0, 1, 2]),\n  ('regression rise limit #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 rise limit #1', [[[23, 29, 6], [19, 22, 0], [30, 32, 8], [15, 20, 1]], 3, 1], [0, 1, 3]),\n  ('regression rise limit #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  ('partial repair boundary #1',\n   [[[19, 24, 5], [30, 34, 4], [9, 14, 9], [16, 22, 8], [6, 6, 9]], 3, 4],\n   [0, 2, 3, 4]),\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 [('deep drop #1', [[[0, 2, 10], [3, 5, 0]], 2, 2], [0, 1]),\n  ('chain of hops #1', [[[0, 1, 0], [3, 4, 2], [6, 7, 4]], 2, 3], [0, 1, 2]),\n  ('fault site rise limit #1', [[[23, 29, 6], [19, 22, 0], [30, 32, 8], [15, 20, 1]], 3, 1], [0, 1, 3]),\n  ('fault site rise limit #2',\n   [[[23, 25, 6], [15, 16, 2], [21, 21, 7], [27, 33, 3], [2, 8, 3]], 2, 2],\n   [0, 2, 3]),\n  ('regression rise limit #1',\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  ('partial repair boundary #1',\n   [[[19, 24, 5], [30, 34, 4], [9, 14, 9], [16, 22, 8], [6, 6, 9]], 3, 4],\n   [0, 2, 3, 4]),\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 [('deep drop #1', [[[0, 2, 10], [3, 5, 0]], 2, 2], [0, 1]),\n  ('chain of hops #1', [[[0, 1, 0], [3, 4, 2], [6, 7, 4]], 2, 3], [0, 1, 2]),\n  ('fault site rise limit #1', [[[21, 21, 10], [16, 21, 3]], 4, 3], [0, 1]),\n  ('regression rise limit #1',\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 rise limit #2',\n   [[[3, 4, 8], [16, 18, 8], [9, 9, 2], [7, 12, 6], [19, 24, 7], [24, 27, 3]], 2, 5],\n   [0, 1, 2, 3, 4, 5]),\n  ('partial repair boundary #1', [[[25, 30, 5], [28, 34, 6], [1, 5, 7]], 1, 7], [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 [('deep drop #1', [[[0, 2, 10], [3, 5, 0]], 2, 2], [0, 1]),\n  ('chain of hops #1', [[[0, 1, 0], [3, 4, 2], [6, 7, 4]], 2, 3], [0, 1, 2]),\n  ('fault site rise limit #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  ('fault site rise limit #2',\n   [[[5, 10, 6], [19, 21, 1], [6, 7, 0], [11, 17, 10], [29, 35, 5], [0, 0, 8]], 5, 1],\n   [0, 2]),\n  ('partial repair boundary #1',\n   [[[15, 20, 4], [12, 18, 4], [1, 1, 4], [18, 18, 7], [10, 16, 2], [24, 29, 2]], 3, 5],\n   [0, 1, 3, 4, 5]),\n  ('regression rise limit #1',\n   [[[29, 34, 5], [6, 11, 2], [26, 26, 4], [25, 31, 2], [0, 2, 0], [5, 11, 5]], 2, 1],\n   [0, 2, 3]),\n  ('platform to the left #1', [[[10, 12, 0], [4, 7, 0]], 1, 3], [0, 1]),\n  ('control #1', [[[17, 20, 8]], 4, 4], [0])],\n [('deep drop #1', [[[0, 2, 10], [3, 5, 0]], 2, 2], [0, 1]),\n  ('chain of hops #1', [[[0, 1, 0], [3, 4, 2], [6, 7, 4]], 2, 3], [0, 1, 2]),\n  ('fault site rise limit #1', [[[12, 16, 3], [7, 11, 9], [29, 32, 0], [21, 25, 1]], 1, 7], [0, 2, 3]),\n  ('regression rise limit #1',\n   [[[3, 4, 8], [16, 18, 8], [9, 9, 2], [7, 12, 6], [19, 24, 7], [24, 27, 3]], 2, 5],\n   [0, 1, 2, 3, 4, 5]),\n  ('partial repair boundary #1', [[[30, 33, 6], [26, 28, 7]], 1, 3], [0, 1]),\n  ('partial repair boundary #2', [[[15, 17, 4], [18, 24, 8]], 4, 4], [0, 1]),\n  ('platform to the left #1', [[[10, 12, 0], [4, 7, 0]], 1, 3], [0, 1]),\n  ('control #1', [[[29, 30, 8], [13, 15, 5], [30, 33, 8]], 4, 6], [0, 2])]]\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":"0565aab0842dc64b122de7ddac4956e067c7c02c4b1725c7bef62db9e55d09c8","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 abs(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 = [[('deep drop #1', [[[0, 2, 10], [3, 5, 0]], 2, 2], [0, 1]),\n  ('chain of hops #1', [[[0, 1, 0], [3, 4, 2], [6, 7, 4]], 2, 3], [0, 1, 2]),\n  ('regression rise limit #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 rise limit #1', [[[23, 29, 6], [19, 22, 0], [30, 32, 8], [15, 20, 1]], 3, 1], [0, 1, 3]),\n  ('regression rise limit #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  ('partial repair boundary #1',\n   [[[19, 24, 5], [30, 34, 4], [9, 14, 9], [16, 22, 8], [6, 6, 9]], 3, 4],\n   [0, 2, 3, 4]),\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 [('deep drop #1', [[[0, 2, 10], [3, 5, 0]], 2, 2], [0, 1]),\n  ('chain of hops #1', [[[0, 1, 0], [3, 4, 2], [6, 7, 4]], 2, 3], [0, 1, 2]),\n  ('fault site rise limit #1', [[[23, 29, 6], [19, 22, 0], [30, 32, 8], [15, 20, 1]], 3, 1], [0, 1, 3]),\n  ('fault site rise limit #2',\n   [[[23, 25, 6], [15, 16, 2], [21, 21, 7], [27, 33, 3], [2, 8, 3]], 2, 2],\n   [0, 2, 3]),\n  ('regression rise limit #1',\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  ('partial repair boundary #1',\n   [[[19, 24, 5], [30, 34, 4], [9, 14, 9], [16, 22, 8], [6, 6, 9]], 3, 4],\n   [0, 2, 3, 4]),\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 [('deep drop #1', [[[0, 2, 10], [3, 5, 0]], 2, 2], [0, 1]),\n  ('chain of hops #1', [[[0, 1, 0], [3, 4, 2], [6, 7, 4]], 2, 3], [0, 1, 2]),\n  ('fault site rise limit #1', [[[21, 21, 10], [16, 21, 3]], 4, 3], [0, 1]),\n  ('regression rise limit #1',\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 rise limit #2',\n   [[[3, 4, 8], [16, 18, 8], [9, 9, 2], [7, 12, 6], [19, 24, 7], [24, 27, 3]], 2, 5],\n   [0, 1, 2, 3, 4, 5]),\n  ('partial repair boundary #1', [[[25, 30, 5], [28, 34, 6], [1, 5, 7]], 1, 7], [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 [('deep drop #1', [[[0, 2, 10], [3, 5, 0]], 2, 2], [0, 1]),\n  ('chain of hops #1', [[[0, 1, 0], [3, 4, 2], [6, 7, 4]], 2, 3], [0, 1, 2]),\n  ('fault site rise limit #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  ('fault site rise limit #2',\n   [[[5, 10, 6], [19, 21, 1], [6, 7, 0], [11, 17, 10], [29, 35, 5], [0, 0, 8]], 5, 1],\n   [0, 2]),\n  ('partial repair boundary #1',\n   [[[15, 20, 4], [12, 18, 4], [1, 1, 4], [18, 18, 7], [10, 16, 2], [24, 29, 2]], 3, 5],\n   [0, 1, 3, 4, 5]),\n  ('regression rise limit #1',\n   [[[29, 34, 5], [6, 11, 2], [26, 26, 4], [25, 31, 2], [0, 2, 0], [5, 11, 5]], 2, 1],\n   [0, 2, 3]),\n  ('platform to the left #1', [[[10, 12, 0], [4, 7, 0]], 1, 3], [0, 1]),\n  ('control #1', [[[17, 20, 8]], 4, 4], [0])],\n [('deep drop #1', [[[0, 2, 10], [3, 5, 0]], 2, 2], [0, 1]),\n  ('chain of hops #1', [[[0, 1, 0], [3, 4, 2], [6, 7, 4]], 2, 3], [0, 1, 2]),\n  ('fault site rise limit #1', [[[12, 16, 3], [7, 11, 9], [29, 32, 0], [21, 25, 1]], 1, 7], [0, 2, 3]),\n  ('regression rise limit #1',\n   [[[3, 4, 8], [16, 18, 8], [9, 9, 2], [7, 12, 6], [19, 24, 7], [24, 27, 3]], 2, 5],\n   [0, 1, 2, 3, 4, 5]),\n  ('partial repair boundary #1', [[[30, 33, 6], [26, 28, 7]], 1, 3], [0, 1]),\n  ('partial repair boundary #2', [[[15, 17, 4], [18, 24, 8]], 4, 4], [0, 1]),\n  ('platform to the left #1', [[[10, 12, 0], [4, 7, 0]], 1, 3], [0, 1]),\n  ('control #1', [[[29, 30, 8], [13, 15, 5], [30, 33, 8]], 4, 6], [0, 2])]]\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":"ae8be5451e7a6d8cd8357f1b5da366336b2be700443ba3d97ef3c74784a0f247","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 = [[('deep drop #1', [[[0, 2, 10], [3, 5, 0]], 2, 2], [0, 1]),\n  ('chain of hops #1', [[[0, 1, 0], [3, 4, 2], [6, 7, 4]], 2, 3], [0, 1, 2]),\n  ('regression rise limit #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 rise limit #1', [[[23, 29, 6], [19, 22, 0], [30, 32, 8], [15, 20, 1]], 3, 1], [0, 1, 3]),\n  ('regression rise limit #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  ('partial repair boundary #1',\n   [[[19, 24, 5], [30, 34, 4], [9, 14, 9], [16, 22, 8], [6, 6, 9]], 3, 4],\n   [0, 2, 3, 4]),\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 [('deep drop #1', [[[0, 2, 10], [3, 5, 0]], 2, 2], [0, 1]),\n  ('chain of hops #1', [[[0, 1, 0], [3, 4, 2], [6, 7, 4]], 2, 3], [0, 1, 2]),\n  ('fault site rise limit #1', [[[23, 29, 6], [19, 22, 0], [30, 32, 8], [15, 20, 1]], 3, 1], [0, 1, 3]),\n  ('fault site rise limit #2',\n   [[[23, 25, 6], [15, 16, 2], [21, 21, 7], [27, 33, 3], [2, 8, 3]], 2, 2],\n   [0, 2, 3]),\n  ('regression rise limit #1',\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  ('partial repair boundary #1',\n   [[[19, 24, 5], [30, 34, 4], [9, 14, 9], [16, 22, 8], [6, 6, 9]], 3, 4],\n   [0, 2, 3, 4]),\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 [('deep drop #1', [[[0, 2, 10], [3, 5, 0]], 2, 2], [0, 1]),\n  ('chain of hops #1', [[[0, 1, 0], [3, 4, 2], [6, 7, 4]], 2, 3], [0, 1, 2]),\n  ('fault site rise limit #1', [[[21, 21, 10], [16, 21, 3]], 4, 3], [0, 1]),\n  ('regression rise limit #1',\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 rise limit #2',\n   [[[3, 4, 8], [16, 18, 8], [9, 9, 2], [7, 12, 6], [19, 24, 7], [24, 27, 3]], 2, 5],\n   [0, 1, 2, 3, 4, 5]),\n  ('partial repair boundary #1', [[[25, 30, 5], [28, 34, 6], [1, 5, 7]], 1, 7], [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 [('deep drop #1', [[[0, 2, 10], [3, 5, 0]], 2, 2], [0, 1]),\n  ('chain of hops #1', [[[0, 1, 0], [3, 4, 2], [6, 7, 4]], 2, 3], [0, 1, 2]),\n  ('fault site rise limit #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  ('fault site rise limit #2',\n   [[[5, 10, 6], [19, 21, 1], [6, 7, 0], [11, 17, 10], [29, 35, 5], [0, 0, 8]], 5, 1],\n   [0, 2]),\n  ('partial repair boundary #1',\n   [[[15, 20, 4], [12, 18, 4], [1, 1, 4], [18, 18, 7], [10, 16, 2], [24, 29, 2]], 3, 5],\n   [0, 1, 3, 4, 5]),\n  ('regression rise limit #1',\n   [[[29, 34, 5], [6, 11, 2], [26, 26, 4], [25, 31, 2], [0, 2, 0], [5, 11, 5]], 2, 1],\n   [0, 2, 3]),\n  ('platform to the left #1', [[[10, 12, 0], [4, 7, 0]], 1, 3], [0, 1]),\n  ('control #1', [[[17, 20, 8]], 4, 4], [0])],\n [('deep drop #1', [[[0, 2, 10], [3, 5, 0]], 2, 2], [0, 1]),\n  ('chain of hops #1', [[[0, 1, 0], [3, 4, 2], [6, 7, 4]], 2, 3], [0, 1, 2]),\n  ('fault site rise limit #1', [[[12, 16, 3], [7, 11, 9], [29, 32, 0], [21, 25, 1]], 1, 7], [0, 2, 3]),\n  ('regression rise limit #1',\n   [[[3, 4, 8], [16, 18, 8], [9, 9, 2], [7, 12, 6], [19, 24, 7], [24, 27, 3]], 2, 5],\n   [0, 1, 2, 3, 4, 5]),\n  ('partial repair boundary #1', [[[30, 33, 6], [26, 28, 7]], 1, 3], [0, 1]),\n  ('partial repair boundary #2', [[[15, 17, 4], [18, 24, 8]], 4, 4], [0, 1]),\n  ('platform to the left #1', [[[10, 12, 0], [4, 7, 0]], 1, 3], [0, 1]),\n  ('control #1', [[[29, 30, 8], [13, 15, 5], [30, 33, 8]], 4, 6], [0, 2])]]\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-rise-limit","generated_at":"2026-09-29T14:50:49.619670+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 `if rise > jump_h:` at the rise limit step.","root_cause":"The height check uses absolute height difference, limiting drops.","sha256":"59b09852a5debbae494292559e2fdff8a91ee843c35b3ae26f900565318418d9","title":"Platform jump reachability: Drops are limited by jump height · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":41.63,"exit_code":1,"observations":[{"actual":[0,1],"check":"deep drop #1","expected":[0,1],"passed":true},{"actual":[0],"check":"chain of hops #1","expected":[0,1,2],"passed":false},{"actual":[0,1],"check":"regression rise limit #1","expected":[0,1,3],"passed":false},{"actual":[0,1,3],"check":"fault site rise limit #1","expected":[0,1,3],"passed":true},{"actual":[0,2],"check":"regression rise limit #2","expected":[0,1,2,3,4,5],"passed":false},{"actual":[0],"check":"partial repair boundary #1","expected":[0,2,3,4],"passed":false},{"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\": \"deep drop #1\", \"actual\": [0, 1], \"expected\": [0, 1], \"passed\": true}, {\"check\": \"chain of hops #1\", \"actual\": [0], \"expected\": [0, 1, 2], \"passed\": false}, {\"check\": \"regression rise limit #1\", \"actual\": [0, 1], \"expected\": [0, 1, 3], \"passed\": false}, {\"check\": \"fault site rise limit #1\", \"actual\": [0, 1, 3], \"expected\": [0, 1, 3], \"passed\": true}, {\"check\": \"regression rise limit #2\", \"actual\": [0, 2], \"expected\": [0, 1, 2, 3, 4, 5], \"passed\": false}, {\"check\": \"partial repair boundary #1\", \"actual\": [0], \"expected\": [0, 2, 3, 4], \"passed\": false}, {\"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":39.083,"exit_code":1,"observations":[{"actual":[0],"check":"deep drop #1","expected":[0,1],"passed":false},{"actual":[0,1,2],"check":"chain of hops 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false}, {\"check\": \"regression rise limit #2\", \"actual\": [0, 1, 4, 5], \"expected\": [0, 1, 2, 3, 4, 5], \"passed\": false}, {\"check\": \"partial repair boundary #1\", \"actual\": [0, 2, 3, 4], \"expected\": [0, 2, 3, 4], \"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":41.259,"exit_code":0,"observations":[{"actual":[0,1],"check":"deep drop #1","expected":[0,1],"passed":true},{"actual":[0,1,2],"check":"chain of hops #1","expected":[0,1,2],"passed":true},{"actual":[0,1,3],"check":"regression rise limit #1","expected":[0,1,3],"passed":true},{"actual":[0,1,3],"check":"fault site rise limit #1","expected":[0,1,3],"passed":true},{"actual":[0,1,2,3,4,5],"check":"regression rise limit #2","expected":[0,1,2,3,4,5],"passed":true},{"actual":[0,2,3,4],"check":"partial repair boundary 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true}, {\"check\": \"control #1\", \"actual\": [0, 1], \"expected\": [0, 1], \"passed\": true}], \"passed\": true}\n"}},"verified":true,"visibility":"public"}