{"abstract":"Splitting sales into many small trips resets vendor saturation.","category":"Game economy crafting balance","checks":8,"contract":"Selling qty units after `sales` units already sold today. Daily cap 20 units total; excess is returned. Per unit, with done = units sold today before it: saturation = min(60, 5*done) percent; unit = floor(base*(100-sat)/100), then floor(unit*(100+bonus)/100) with bonus neutral 0, friendly 5, honored 10; each unit pays at least 1.","evaluation_group":"w2-game-economy-crafting-balance-vendor-saturation","failed_approach":"Counting only prior sales never raises saturation within one batch.","family":"w2-game-economy-crafting-balance-vendor-saturation-prior-sales-carry","id":"FA-85946","implementations":{"attempt":{"sha256":"e5eaa9c9a9f9b2c2b00add1c20e8768fdff4d04be51b2a8901767196d42f1d68","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(base_price, sales, qty, reputation):\n    bonus = {'neutral': 0, 'friendly': 5, 'honored': 10}[reputation]\n    gold = 0\n    sold = 0\n    for i in range(qty):\n        done = sales\n        if done >= 20:\n            break\n        sat = min(60, 5 * done)\n        unit = base_price * (100 - sat) // 100\n        unit = unit * (100 + bonus) // 100\n        gold += max(1, unit)\n        sold += 1\n    return {'gold': gold, 'sold': sold, 'returned': qty - sold}\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\ncases = [[('cap reached mid batch #1', [40, 18, 5, 'honored'], {'gold': 34, 'sold': 2, 'returned': 3}),\n  ('regression prior sales carry #1', [99, 5, 3, 'neutral'], {'gold': 207, 'sold': 3, 'returned': 0}),\n  ('regression prior sales carry #2', [3, 1, 11, 'neutral'], {'gold': 17, 'sold': 11, 'returned': 0}),\n  ('partial repair boundary #1', [10, 0, 7, 'friendly'], {'gold': 58, 'sold': 7, 'returned': 0}),\n  ('regression prior sales carry #3', [10, 5, 10, 'friendly'], {'gold': 52, 'sold': 10, 'returned': 0}),\n  ('fresh day single sale #1', [9, 0, 1, 'friendly'], {'gold': 9, 'sold': 1, 'returned': 0}),\n  ('cheap junk at saturation #1', [1, 12, 3, 'neutral'], {'gold': 3, 'sold': 3, 'returned': 0}),\n  ('control #1', [1, 22, 0, 'honored'], {'gold': 0, 'sold': 0, 'returned': 0})],\n [('cap reached mid batch #1', [40, 18, 5, 'honored'], {'gold': 34, 'sold': 2, 'returned': 3}),\n  ('regression prior sales carry #1', [3, 1, 11, 'neutral'], {'gold': 17, 'sold': 11, 'returned': 0}),\n  ('fault site prior sales carry #1', [2, 22, 2, 'friendly'], {'gold': 0, 'sold': 0, 'returned': 2}),\n  ('partial repair boundary #1', [10, 0, 7, 'friendly'], {'gold': 58, 'sold': 7, 'returned': 0}),\n  ('regression prior sales carry #2', [10, 5, 10, 'friendly'], {'gold': 52, 'sold': 10, 'returned': 0}),\n  ('fresh day single sale #1', [9, 0, 1, 'friendly'], {'gold': 9, 'sold': 1, 'returned': 0}),\n  ('cheap junk at saturation #1', [1, 12, 3, 'neutral'], {'gold': 3, 'sold': 3, 'returned': 0}),\n  ('control #1', [1, 22, 0, 'honored'], {'gold': 0, 'sold': 0, 'returned': 0})],\n [('cap reached mid batch #1', [40, 18, 5, 'honored'], {'gold': 34, 'sold': 2, 'returned': 3}),\n  ('fault site prior sales carry #1', [190, 12, 7, 'neutral'], {'gold': 532, 'sold': 7, 'returned': 0}),\n  ('regression prior sales carry #1', [10, 5, 10, 'friendly'], {'gold': 52, 'sold': 10, 'returned': 0}),\n  ('regression prior sales carry #2', [2, 15, 10, 'neutral'], {'gold': 5, 'sold': 5, 'returned': 5}),\n  ('regression prior sales carry #3', [25, 1, 4, 'neutral'], {'gold': 86, 'sold': 4, 'returned': 0}),\n  ('fresh day single sale #1', [9, 0, 1, 'friendly'], {'gold': 9, 'sold': 1, 'returned': 0}),\n  ('cheap junk at saturation #1', [1, 12, 3, 'neutral'], {'gold': 3, 'sold': 3, 'returned': 0}),\n  ('control #1', [1, 22, 0, 'honored'], {'gold': 0, 'sold': 0, 'returned': 0})],\n [('cap reached mid batch #1', [40, 18, 5, 'honored'], {'gold': 34, 'sold': 2, 'returned': 3}),\n  ('regression prior sales carry #1', [2, 15, 10, 'neutral'], {'gold': 5, 'sold': 5, 'returned': 5}),\n  ('regression prior sales carry #2', [25, 1, 4, 'neutral'], {'gold': 86, 'sold': 4, 'returned': 0}),\n  ('regression prior sales carry #3', [10, 1, 9, 'friendly'], {'gold': 65, 'sold': 9, 'returned': 0}),\n  ('regression prior sales carry #4', [25, 12, 12, 'neutral'], {'gold': 80, 'sold': 8, 'returned': 4}),\n  ('fresh day single sale #1', [9, 0, 1, 'friendly'], {'gold': 9, 'sold': 1, 'returned': 0}),\n  ('cheap junk at saturation #1', [1, 12, 3, 'neutral'], {'gold': 3, 'sold': 3, 'returned': 0}),\n  ('control #1', [55, 5, 0, 'neutral'], {'gold': 0, 'sold': 0, 'returned': 0})],\n [('cap reached mid batch #1', [40, 18, 5, 'honored'], {'gold': 34, 'sold': 2, 'returned': 3}),\n  ('fault site prior sales carry #1', [3, 12, 4, 'honored'], {'gold': 4, 'sold': 4, 'returned': 0}),\n  ('regression prior sales carry #1', [10, 1, 9, 'friendly'], {'gold': 65, 'sold': 9, 'returned': 0}),\n  ('regression prior sales carry #2', [25, 12, 12, 'neutral'], {'gold': 80, 'sold': 8, 'returned': 4}),\n  ('regression prior sales carry #3', [99, 11, 5, 'neutral'], {'gold': 200, 'sold': 5, 'returned': 0}),\n  ('fresh day single sale #1', [9, 0, 1, 'friendly'], {'gold': 9, 'sold': 1, 'returned': 0}),\n  ('cheap junk at saturation #1', [1, 12, 3, 'neutral'], {'gold': 3, 'sold': 3, 'returned': 0}),\n  ('control #1', [1, 0, 8, 'honored'], {'gold': 8, 'sold': 8, 'returned': 0})]]\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":"072aebc3e3eaacf1f5593ff5c0c65fe5cd161542949e7ff037b6a99bdd5e4966","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(base_price, sales, qty, reputation):\n    bonus = {'neutral': 0, 'friendly': 5, 'honored': 10}[reputation]\n    gold = 0\n    sold = 0\n    for i in range(qty):\n        done = sold\n        if done >= 20:\n            break\n        sat = min(60, 5 * done)\n        unit = base_price * (100 - sat) // 100\n        unit = unit * (100 + bonus) // 100\n        gold += max(1, unit)\n        sold += 1\n    return {'gold': gold, 'sold': sold, 'returned': qty - sold}\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\ncases = [[('cap reached mid batch #1', [40, 18, 5, 'honored'], {'gold': 34, 'sold': 2, 'returned': 3}),\n  ('regression prior sales carry #1', [99, 5, 3, 'neutral'], {'gold': 207, 'sold': 3, 'returned': 0}),\n  ('regression prior sales carry #2', [3, 1, 11, 'neutral'], {'gold': 17, 'sold': 11, 'returned': 0}),\n  ('partial repair boundary #1', [10, 0, 7, 'friendly'], {'gold': 58, 'sold': 7, 'returned': 0}),\n  ('regression prior sales carry #3', [10, 5, 10, 'friendly'], {'gold': 52, 'sold': 10, 'returned': 0}),\n  ('fresh day single sale #1', [9, 0, 1, 'friendly'], {'gold': 9, 'sold': 1, 'returned': 0}),\n  ('cheap junk at saturation #1', [1, 12, 3, 'neutral'], {'gold': 3, 'sold': 3, 'returned': 0}),\n  ('control #1', [1, 22, 0, 'honored'], {'gold': 0, 'sold': 0, 'returned': 0})],\n [('cap reached mid batch #1', [40, 18, 5, 'honored'], {'gold': 34, 'sold': 2, 'returned': 3}),\n  ('regression prior sales carry #1', [3, 1, 11, 'neutral'], {'gold': 17, 'sold': 11, 'returned': 0}),\n  ('fault site prior sales carry #1', [2, 22, 2, 'friendly'], {'gold': 0, 'sold': 0, 'returned': 2}),\n  ('partial repair boundary #1', [10, 0, 7, 'friendly'], {'gold': 58, 'sold': 7, 'returned': 0}),\n  ('regression prior sales carry #2', [10, 5, 10, 'friendly'], {'gold': 52, 'sold': 10, 'returned': 0}),\n  ('fresh day single sale #1', [9, 0, 1, 'friendly'], {'gold': 9, 'sold': 1, 'returned': 0}),\n  ('cheap junk at saturation #1', [1, 12, 3, 'neutral'], {'gold': 3, 'sold': 3, 'returned': 0}),\n  ('control #1', [1, 22, 0, 'honored'], {'gold': 0, 'sold': 0, 'returned': 0})],\n [('cap reached mid batch #1', [40, 18, 5, 'honored'], {'gold': 34, 'sold': 2, 'returned': 3}),\n  ('fault site prior sales carry #1', [190, 12, 7, 'neutral'], {'gold': 532, 'sold': 7, 'returned': 0}),\n  ('regression prior sales carry #1', [10, 5, 10, 'friendly'], {'gold': 52, 'sold': 10, 'returned': 0}),\n  ('regression prior sales carry #2', [2, 15, 10, 'neutral'], {'gold': 5, 'sold': 5, 'returned': 5}),\n  ('regression prior sales carry #3', [25, 1, 4, 'neutral'], {'gold': 86, 'sold': 4, 'returned': 0}),\n  ('fresh day single sale #1', [9, 0, 1, 'friendly'], {'gold': 9, 'sold': 1, 'returned': 0}),\n  ('cheap junk at saturation #1', [1, 12, 3, 'neutral'], {'gold': 3, 'sold': 3, 'returned': 0}),\n  ('control #1', [1, 22, 0, 'honored'], {'gold': 0, 'sold': 0, 'returned': 0})],\n [('cap reached mid batch #1', [40, 18, 5, 'honored'], {'gold': 34, 'sold': 2, 'returned': 3}),\n  ('regression prior sales carry #1', [2, 15, 10, 'neutral'], {'gold': 5, 'sold': 5, 'returned': 5}),\n  ('regression prior sales carry #2', [25, 1, 4, 'neutral'], {'gold': 86, 'sold': 4, 'returned': 0}),\n  ('regression prior sales carry #3', [10, 1, 9, 'friendly'], {'gold': 65, 'sold': 9, 'returned': 0}),\n  ('regression prior sales carry #4', [25, 12, 12, 'neutral'], {'gold': 80, 'sold': 8, 'returned': 4}),\n  ('fresh day single sale #1', [9, 0, 1, 'friendly'], {'gold': 9, 'sold': 1, 'returned': 0}),\n  ('cheap junk at saturation #1', [1, 12, 3, 'neutral'], {'gold': 3, 'sold': 3, 'returned': 0}),\n  ('control #1', [55, 5, 0, 'neutral'], {'gold': 0, 'sold': 0, 'returned': 0})],\n [('cap reached mid batch #1', [40, 18, 5, 'honored'], {'gold': 34, 'sold': 2, 'returned': 3}),\n  ('fault site prior sales carry #1', [3, 12, 4, 'honored'], {'gold': 4, 'sold': 4, 'returned': 0}),\n  ('regression prior sales carry #1', [10, 1, 9, 'friendly'], {'gold': 65, 'sold': 9, 'returned': 0}),\n  ('regression prior sales carry #2', [25, 12, 12, 'neutral'], {'gold': 80, 'sold': 8, 'returned': 4}),\n  ('regression prior sales carry #3', [99, 11, 5, 'neutral'], {'gold': 200, 'sold': 5, 'returned': 0}),\n  ('fresh day single sale #1', [9, 0, 1, 'friendly'], {'gold': 9, 'sold': 1, 'returned': 0}),\n  ('cheap junk at saturation #1', [1, 12, 3, 'neutral'], {'gold': 3, 'sold': 3, 'returned': 0}),\n  ('control #1', [1, 0, 8, 'honored'], {'gold': 8, 'sold': 8, 'returned': 0})]]\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":"754839eb827ff7432073126ccd2f370fe8a1298ecffc20d83573791cf75b5da8","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(base_price, sales, qty, reputation):\n    bonus = {'neutral': 0, 'friendly': 5, 'honored': 10}[reputation]\n    gold = 0\n    sold = 0\n    for i in range(qty):\n        done = sales + sold\n        if done >= 20:\n            break\n        sat = min(60, 5 * done)\n        unit = base_price * (100 - sat) // 100\n        unit = unit * (100 + bonus) // 100\n        gold += max(1, unit)\n        sold += 1\n    return {'gold': gold, 'sold': sold, 'returned': qty - sold}\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\ncases = [[('cap reached mid batch #1', [40, 18, 5, 'honored'], {'gold': 34, 'sold': 2, 'returned': 3}),\n  ('regression prior sales carry #1', [99, 5, 3, 'neutral'], {'gold': 207, 'sold': 3, 'returned': 0}),\n  ('regression prior sales carry #2', [3, 1, 11, 'neutral'], {'gold': 17, 'sold': 11, 'returned': 0}),\n  ('partial repair boundary #1', [10, 0, 7, 'friendly'], {'gold': 58, 'sold': 7, 'returned': 0}),\n  ('regression prior sales carry #3', [10, 5, 10, 'friendly'], {'gold': 52, 'sold': 10, 'returned': 0}),\n  ('fresh day single sale #1', [9, 0, 1, 'friendly'], {'gold': 9, 'sold': 1, 'returned': 0}),\n  ('cheap junk at saturation #1', [1, 12, 3, 'neutral'], {'gold': 3, 'sold': 3, 'returned': 0}),\n  ('control #1', [1, 22, 0, 'honored'], {'gold': 0, 'sold': 0, 'returned': 0})],\n [('cap reached mid batch #1', [40, 18, 5, 'honored'], {'gold': 34, 'sold': 2, 'returned': 3}),\n  ('regression prior sales carry #1', [3, 1, 11, 'neutral'], {'gold': 17, 'sold': 11, 'returned': 0}),\n  ('fault site prior sales carry #1', [2, 22, 2, 'friendly'], {'gold': 0, 'sold': 0, 'returned': 2}),\n  ('partial repair boundary #1', [10, 0, 7, 'friendly'], {'gold': 58, 'sold': 7, 'returned': 0}),\n  ('regression prior sales carry #2', [10, 5, 10, 'friendly'], {'gold': 52, 'sold': 10, 'returned': 0}),\n  ('fresh day single sale #1', [9, 0, 1, 'friendly'], {'gold': 9, 'sold': 1, 'returned': 0}),\n  ('cheap junk at saturation #1', [1, 12, 3, 'neutral'], {'gold': 3, 'sold': 3, 'returned': 0}),\n  ('control #1', [1, 22, 0, 'honored'], {'gold': 0, 'sold': 0, 'returned': 0})],\n [('cap reached mid batch #1', [40, 18, 5, 'honored'], {'gold': 34, 'sold': 2, 'returned': 3}),\n  ('fault site prior sales carry #1', [190, 12, 7, 'neutral'], {'gold': 532, 'sold': 7, 'returned': 0}),\n  ('regression prior sales carry #1', [10, 5, 10, 'friendly'], {'gold': 52, 'sold': 10, 'returned': 0}),\n  ('regression prior sales carry #2', [2, 15, 10, 'neutral'], {'gold': 5, 'sold': 5, 'returned': 5}),\n  ('regression prior sales carry #3', [25, 1, 4, 'neutral'], {'gold': 86, 'sold': 4, 'returned': 0}),\n  ('fresh day single sale #1', [9, 0, 1, 'friendly'], {'gold': 9, 'sold': 1, 'returned': 0}),\n  ('cheap junk at saturation #1', [1, 12, 3, 'neutral'], {'gold': 3, 'sold': 3, 'returned': 0}),\n  ('control #1', [1, 22, 0, 'honored'], {'gold': 0, 'sold': 0, 'returned': 0})],\n [('cap reached mid batch #1', [40, 18, 5, 'honored'], {'gold': 34, 'sold': 2, 'returned': 3}),\n  ('regression prior sales carry #1', [2, 15, 10, 'neutral'], {'gold': 5, 'sold': 5, 'returned': 5}),\n  ('regression prior sales carry #2', [25, 1, 4, 'neutral'], {'gold': 86, 'sold': 4, 'returned': 0}),\n  ('regression prior sales carry #3', [10, 1, 9, 'friendly'], {'gold': 65, 'sold': 9, 'returned': 0}),\n  ('regression prior sales carry #4', [25, 12, 12, 'neutral'], {'gold': 80, 'sold': 8, 'returned': 4}),\n  ('fresh day single sale #1', [9, 0, 1, 'friendly'], {'gold': 9, 'sold': 1, 'returned': 0}),\n  ('cheap junk at saturation #1', [1, 12, 3, 'neutral'], {'gold': 3, 'sold': 3, 'returned': 0}),\n  ('control #1', [55, 5, 0, 'neutral'], {'gold': 0, 'sold': 0, 'returned': 0})],\n [('cap reached mid batch #1', [40, 18, 5, 'honored'], {'gold': 34, 'sold': 2, 'returned': 3}),\n  ('fault site prior sales carry #1', [3, 12, 4, 'honored'], {'gold': 4, 'sold': 4, 'returned': 0}),\n  ('regression prior sales carry #1', [10, 1, 9, 'friendly'], {'gold': 65, 'sold': 9, 'returned': 0}),\n  ('regression prior sales carry #2', [25, 12, 12, 'neutral'], {'gold': 80, 'sold': 8, 'returned': 4}),\n  ('regression prior sales carry #3', [99, 11, 5, 'neutral'], {'gold': 200, 'sold': 5, 'returned': 0}),\n  ('fresh day single sale #1', [9, 0, 1, 'friendly'], {'gold': 9, 'sold': 1, 'returned': 0}),\n  ('cheap junk at saturation #1', [1, 12, 3, 'neutral'], {'gold': 3, 'sold': 3, 'returned': 0}),\n  ('control #1', [1, 0, 8, 'honored'], {'gold': 8, 'sold': 8, 'returned': 0})]]\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-game-economy-crafting-balance-vendor-saturation-prior-sales-carry","generated_at":"2026-09-29T14:50:45.032956+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Game economies leak or destroy currency when one crafting or pricing rule is off by one boundary, rounding stage or state update; the defect is observable in exact integer outcomes.","repair":"Restore `done = sales + sold` at the prior sales carry step.","root_cause":"Saturation counts only units in the current transaction.","sha256":"f1bdc0943454f3bb0fa01bf5faa8e79576a8a3b0a3f536051c90089c1d55dd88","title":"Vendor sell saturation: Saturation ignores earlier sales today · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":44.034,"exit_code":1,"observations":[{"actual":{"gold":85,"returned":0,"sold":5},"check":"cap reached mid batch #1","expected":{"gold":34,"returned":3,"sold":2},"passed":false},{"actual":{"gold":222,"returned":0,"sold":3},"check":"regression prior sales carry #1","expected":{"gold":207,"returned":0,"sold":3},"passed":false},{"actual":{"gold":22,"returned":0,"sold":11},"check":"regression prior sales carry #2","expected":{"gold":17,"returned":0,"sold":11},"passed":false},{"actual":{"gold":70,"returned":0,"sold":7},"check":"partial repair boundary #1","expected":{"gold":58,"returned":0,"sold":7},"passed":false},{"actual":{"gold":70,"returned":0,"sold":10},"check":"regression prior sales carry #3","expected":{"gold":52,"returned":0,"sold":10},"passed":false},{"actual":{"gold":9,"returned":0,"sold":1},"check":"fresh day single sale #1","expected":{"gold":9,"returned":0,"sold":1},"passed":true},{"actual":{"gold":3,"returned":0,"sold":3},"check":"cheap junk at saturation #1","expected":{"gold":3,"returned":0,"sold":3},"passed":true},{"actual":{"gold":0,"returned":0,"sold":0},"check":"control #1","expected":{"gold":0,"returned":0,"sold":0},"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"cap reached mid batch #1\", \"actual\": {\"gold\": 85, \"sold\": 5, \"returned\": 0}, \"expected\": {\"gold\": 34, \"sold\": 2, \"returned\": 3}, \"passed\": false}, {\"check\": \"regression prior sales carry #1\", \"actual\": {\"gold\": 222, \"sold\": 3, \"returned\": 0}, \"expected\": {\"gold\": 207, \"sold\": 3, \"returned\": 0}, \"passed\": false}, {\"check\": \"regression prior sales carry #2\", \"actual\": {\"gold\": 22, \"sold\": 11, \"returned\": 0}, \"expected\": {\"gold\": 17, \"sold\": 11, \"returned\": 0}, \"passed\": false}, {\"check\": \"partial repair boundary #1\", \"actual\": {\"gold\": 70, \"sold\": 7, \"returned\": 0}, \"expected\": {\"gold\": 58, \"sold\": 7, \"returned\": 0}, \"passed\": false}, {\"check\": \"regression prior sales carry #3\", \"actual\": {\"gold\": 70, \"sold\": 10, \"returned\": 0}, \"expected\": {\"gold\": 52, \"sold\": 10, \"returned\": 0}, \"passed\": false}, {\"check\": \"fresh day single sale #1\", \"actual\": {\"gold\": 9, \"sold\": 1, \"returned\": 0}, \"expected\": {\"gold\": 9, \"sold\": 1, \"returned\": 0}, \"passed\": true}, {\"check\": \"cheap junk at saturation #1\", \"actual\": {\"gold\": 3, \"sold\": 3, \"returned\": 0}, \"expected\": {\"gold\": 3, \"sold\": 3, \"returned\": 0}, \"passed\": true}, {\"check\": \"control #1\", \"actual\": {\"gold\": 0, \"sold\": 0, \"returned\": 0}, \"expected\": {\"gold\": 0, \"sold\": 0, \"returned\": 0}, \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":41.57,"exit_code":1,"observations":[{"actual":{"gold":196,"returned":0,"sold":5},"check":"cap reached mid batch #1","expected":{"gold":34,"returned":3,"sold":2},"passed":false},{"actual":{"gold":282,"returned":0,"sold":3},"check":"regression prior sales carry #1","expected":{"gold":207,"returned":0,"sold":3},"passed":false},{"actual":{"gold":19,"returned":0,"sold":11},"check":"regression prior sales carry #2","expected":{"gold":17,"returned":0,"sold":11},"passed":false},{"actual":{"gold":58,"returned":0,"sold":7},"check":"partial repair boundary #1","expected":{"gold":58,"returned":0,"sold":7},"passed":true},{"actual":{"gold":75,"returned":0,"sold":10},"check":"regression prior sales carry #3","expected":{"gold":52,"returned":0,"sold":10},"passed":false},{"actual":{"gold":9,"returned":0,"sold":1},"check":"fresh day single sale #1","expected":{"gold":9,"returned":0,"sold":1},"passed":true},{"actual":{"gold":3,"returned":0,"sold":3},"check":"cheap junk at saturation #1","expected":{"gold":3,"returned":0,"sold":3},"passed":true},{"actual":{"gold":0,"returned":0,"sold":0},"check":"control #1","expected":{"gold":0,"returned":0,"sold":0},"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"cap reached mid batch #1\", \"actual\": {\"gold\": 196, \"sold\": 5, \"returned\": 0}, \"expected\": {\"gold\": 34, \"sold\": 2, \"returned\": 3}, \"passed\": false}, {\"check\": \"regression prior sales carry #1\", \"actual\": {\"gold\": 282, \"sold\": 3, \"returned\": 0}, \"expected\": {\"gold\": 207, \"sold\": 3, \"returned\": 0}, \"passed\": false}, {\"check\": \"regression prior sales carry #2\", \"actual\": {\"gold\": 19, \"sold\": 11, \"returned\": 0}, \"expected\": {\"gold\": 17, \"sold\": 11, \"returned\": 0}, \"passed\": false}, {\"check\": \"partial repair boundary #1\", \"actual\": {\"gold\": 58, \"sold\": 7, \"returned\": 0}, \"expected\": {\"gold\": 58, \"sold\": 7, \"returned\": 0}, \"passed\": true}, {\"check\": \"regression prior sales carry #3\", \"actual\": {\"gold\": 75, \"sold\": 10, \"returned\": 0}, \"expected\": {\"gold\": 52, \"sold\": 10, \"returned\": 0}, \"passed\": false}, {\"check\": \"fresh day single sale #1\", \"actual\": {\"gold\": 9, \"sold\": 1, \"returned\": 0}, \"expected\": {\"gold\": 9, \"sold\": 1, \"returned\": 0}, \"passed\": true}, {\"check\": \"cheap junk at saturation #1\", \"actual\": {\"gold\": 3, \"sold\": 3, \"returned\": 0}, \"expected\": {\"gold\": 3, \"sold\": 3, \"returned\": 0}, \"passed\": true}, {\"check\": \"control #1\", \"actual\": {\"gold\": 0, \"sold\": 0, \"returned\": 0}, \"expected\": {\"gold\": 0, \"sold\": 0, \"returned\": 0}, \"passed\": true}], \"passed\": false}\n"},"fixed":{"elapsed_ms":40.123,"exit_code":0,"observations":[{"actual":{"gold":34,"returned":3,"sold":2},"check":"cap reached mid batch #1","expected":{"gold":34,"returned":3,"sold":2},"passed":true},{"actual":{"gold":207,"returned":0,"sold":3},"check":"regression prior sales carry 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