{"abstract":"Days warmer than last week but below the threshold are reported.","category":"Weather index computation","checks":8,"contract":"temps are daily mean degC. For each day i with 6 prior days and 2 following days: m3 = mean of days i..i+2, prior = mean of days i-6..i-1, EHIsig = m3 - t95, EHIaccl = m3 - prior, EHF = EHIsig * max(1, EHIaccl). Return [[i, EHF rounded 0.01]] for days with EHF > 0.","evaluation_group":"w2-weather_index_computation-excess-heat-factor","failed_approach":"Including zero reports days exactly at the threshold.","family":"w2-weather_index_computation-excess-heat-factor-positive-ehf-test","id":"FA-71321","implementations":{"attempt":{"sha256":"e756927fd72559459963a0e898f5486209f886d801498e571b8dd12181004a53","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(temps, t95):\n    res = []\n    for i in range(6, len(temps) - 2):\n        m3 = sum(temps[i:i + 3]) / 3.0\n        prior = sum(temps[i - 6:i]) / 6.0\n        sig = m3 - t95\n        accl = m3 - prior\n        ehf = sig * max(1.0, accl)\n        if ehf >= 0:\n            res.append([i, round(ehf, 2)])\n    return res\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['city 0', [[22, 27, 20, 22, 21, 30, 25, 25, 32, 23, 32, 18], 26], [[6, 4.89], [7, 1.67], [8, 15.5]]], ['city 1', [[23, 29, 24, 33, 35, 26, 25, 26, 33, 32, 21, 28], 24], [[6, 4.0], [7, 10.56], [8, 4.67], [9, 3.0]]], ['city 2', [[17, 29, 19, 30, 23, 20, 30, 26, 21, 18, 24, 18], 24], [[6, 4.44]]], ['city 3', [[28, 25, 35, 35, 25, 28, 31, 22, 27, 32, 22, 22], 24], [[6, 2.67], [7, 3.0], [8, 3.0], [9, 1.33]]], ['city 4', [[22, 31, 30, 27, 29, 35, 31, 21, 24, 25, 32, 35], 24], [[6, 1.33], [8, 3.0], [9, 18.89]]], ['city 5', [[24, 24, 28, 33, 23, 27, 27, 28, 27, 28, 34, 25], 28], [[8, 3.33], [9, 1.5]]], ['city 6', [[19, 21, 29, 18, 27, 22, 19, 19, 28, 27, 23, 16], 28], []], ['city 22', [[28, 23, 24, 20, 29, 28, 18, 28, 18, 26, 20, 18], 24], []]], [['city 5', [[24, 24, 28, 33, 23, 27, 27, 28, 27, 28, 34, 25], 28], [[8, 3.33], [9, 1.5]]], ['city 7', [[16, 27, 21, 22, 21, 19, 24, 21, 22, 24, 19, 29], 26], []], ['city 8', [[32, 32, 34, 35, 29, 22, 30, 30, 24, 27, 28, 25], 24], [[6, 4.0], [7, 3.0], [8, 2.33], [9, 2.67]]], ['city 9', [[15, 26, 16, 15, 23, 19, 19, 28, 28, 27, 26, 26], 26], [[7, 13.33], [8, 7.0], [9, 1.44]]], ['city 10', [[19, 26, 22, 22, 17, 20, 16, 17, 28, 25, 25, 24], 28], []], ['city 11', [[27, 28, 31, 19, 23, 21, 32, 31, 22, 23, 20, 22], 26], [[6, 8.17]]], ['city 12', [[27, 24, 26, 17, 20, 26, 23, 24, 20, 19, 26, 26], 26], []], ['city 18', [[18, 21, 31, 27, 28, 30, 21, 28, 23, 31, 17, 27], 24], [[7, 3.33], [9, 1.0]]]], [['city 8', [[32, 32, 34, 35, 29, 22, 30, 30, 24, 27, 28, 25], 24], [[6, 4.0], [7, 3.0], [8, 2.33], [9, 2.67]]], ['city 14', [[35, 23, 27, 23, 34, 26, 24, 36, 35, 36, 25, 27], 24], [[6, 28.11], [7, 110.83], [8, 29.33], [9, 5.33]]], ['city 15', [[30, 27, 28, 21, 32, 33, 29, 31, 34, 31, 35, 28], 24], [[6, 20.78], [7, 29.33], [8, 40.44], [9, 9.78]]], ['city 16', [[26, 25, 22, 33, 23, 19, 25, 32, 22, 23, 23, 31], 26], [[6, 0.56]]], ['city 17', [[23, 21, 21, 21, 31, 19, 22, 25, 26, 27, 21, 20], 28], []], ['city 18', [[18, 21, 31, 27, 28, 30, 21, 28, 23, 31, 17, 27], 24], [[7, 3.33], [9, 1.0]]], ['city 19', [[23, 21, 25, 18, 19, 19, 27, 27, 23, 18, 17, 21], 28], []], ['exact threshold', [[20, 20, 20, 20, 20, 20, 26, 26, 26, 22], 26], []]], [['city 12', [[27, 24, 26, 17, 20, 26, 23, 24, 20, 19, 26, 26], 26], []], ['city 21', [[35, 29, 27, 30, 30, 28, 29, 35, 22, 24, 24, 29], 24], [[6, 4.67], [7, 3.0], [9, 1.67]]], ['city 22', [[28, 23, 24, 20, 29, 28, 18, 28, 18, 26, 20, 18], 24], []], ['city 23', [[34, 34, 28, 22, 23, 27, 21, 21, 31, 24, 24, 23], 26], [[8, 0.89]]], ['city 24', [[32, 30, 18, 25, 18, 26, 28, 23, 31, 21, 25, 25], 28], []], ['city 25', [[28, 26, 30, 18, 22, 31, 20, 20, 24, 29, 29, 30], 26], [[8, 5.11], [9, 22.78]]], ['city 26', [[22, 27, 19, 25, 14, 26, 15, 25, 22, 25, 24, 18], 28], []], ['city 27', [[27, 19, 30, 29, 29, 24, 17, 20, 28, 21, 26, 24], 28], []]], [['city 16', [[26, 25, 22, 33, 23, 19, 25, 32, 22, 23, 23, 31], 26], [[6, 0.56]]], ['city 18', [[18, 21, 31, 27, 28, 30, 21, 28, 23, 31, 17, 27], 24], [[7, 3.33], [9, 1.0]]], ['city 28', [[23, 25, 34, 22, 30, 20, 28, 32, 31, 20, 33, 25], 24], [[6, 29.56], [7, 4.28], [8, 4.0], [9, 2.0]]], ['city 29', [[27, 24, 26, 19, 17, 20, 28, 16, 17, 28, 21, 20], 28], []], ['cool acclimatised spell', [[30, 30, 30, 30, 30, 30, 27, 27, 27, 20], 26], [[6, 1.0]]], ['exact threshold', [[20, 20, 20, 20, 20, 20, 26, 26, 26, 22], 26], []], ['short record', [[25, 26, 27, 28, 29, 30, 31, 32], 25], []], ['record ends in extreme heat', [[22, 23, 22, 24, 23, 22, 25, 26, 38, 40], 26], [[6, 25.67], [7, 99.67]]]]]\nfor label, args, expected in fixtures[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":"ea4306d3362bfc0563845ebaa98ea4897881f979ece2269e32145c2985d4bb5d","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(temps, t95):\n    res = []\n    for i in range(6, len(temps) - 2):\n        m3 = sum(temps[i:i + 3]) / 3.0\n        prior = sum(temps[i - 6:i]) / 6.0\n        sig = m3 - t95\n        accl = m3 - prior\n        ehf = sig * max(1.0, accl)\n        if accl > 0:\n            res.append([i, round(ehf, 2)])\n    return res\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['city 0', [[22, 27, 20, 22, 21, 30, 25, 25, 32, 23, 32, 18], 26], [[6, 4.89], [7, 1.67], [8, 15.5]]], ['city 1', [[23, 29, 24, 33, 35, 26, 25, 26, 33, 32, 21, 28], 24], [[6, 4.0], [7, 10.56], [8, 4.67], [9, 3.0]]], ['city 2', [[17, 29, 19, 30, 23, 20, 30, 26, 21, 18, 24, 18], 24], [[6, 4.44]]], ['city 3', [[28, 25, 35, 35, 25, 28, 31, 22, 27, 32, 22, 22], 24], [[6, 2.67], [7, 3.0], [8, 3.0], [9, 1.33]]], ['city 4', [[22, 31, 30, 27, 29, 35, 31, 21, 24, 25, 32, 35], 24], [[6, 1.33], [8, 3.0], [9, 18.89]]], ['city 5', [[24, 24, 28, 33, 23, 27, 27, 28, 27, 28, 34, 25], 28], [[8, 3.33], [9, 1.5]]], ['city 6', [[19, 21, 29, 18, 27, 22, 19, 19, 28, 27, 23, 16], 28], []], ['city 22', [[28, 23, 24, 20, 29, 28, 18, 28, 18, 26, 20, 18], 24], []]], [['city 5', [[24, 24, 28, 33, 23, 27, 27, 28, 27, 28, 34, 25], 28], [[8, 3.33], [9, 1.5]]], ['city 7', [[16, 27, 21, 22, 21, 19, 24, 21, 22, 24, 19, 29], 26], []], ['city 8', [[32, 32, 34, 35, 29, 22, 30, 30, 24, 27, 28, 25], 24], [[6, 4.0], [7, 3.0], [8, 2.33], [9, 2.67]]], ['city 9', [[15, 26, 16, 15, 23, 19, 19, 28, 28, 27, 26, 26], 26], [[7, 13.33], [8, 7.0], [9, 1.44]]], ['city 10', [[19, 26, 22, 22, 17, 20, 16, 17, 28, 25, 25, 24], 28], []], ['city 11', [[27, 28, 31, 19, 23, 21, 32, 31, 22, 23, 20, 22], 26], [[6, 8.17]]], ['city 12', [[27, 24, 26, 17, 20, 26, 23, 24, 20, 19, 26, 26], 26], []], ['city 18', [[18, 21, 31, 27, 28, 30, 21, 28, 23, 31, 17, 27], 24], [[7, 3.33], [9, 1.0]]]], [['city 8', [[32, 32, 34, 35, 29, 22, 30, 30, 24, 27, 28, 25], 24], [[6, 4.0], [7, 3.0], [8, 2.33], [9, 2.67]]], ['city 14', [[35, 23, 27, 23, 34, 26, 24, 36, 35, 36, 25, 27], 24], [[6, 28.11], [7, 110.83], [8, 29.33], [9, 5.33]]], ['city 15', [[30, 27, 28, 21, 32, 33, 29, 31, 34, 31, 35, 28], 24], [[6, 20.78], [7, 29.33], [8, 40.44], [9, 9.78]]], ['city 16', [[26, 25, 22, 33, 23, 19, 25, 32, 22, 23, 23, 31], 26], [[6, 0.56]]], ['city 17', [[23, 21, 21, 21, 31, 19, 22, 25, 26, 27, 21, 20], 28], []], ['city 18', [[18, 21, 31, 27, 28, 30, 21, 28, 23, 31, 17, 27], 24], [[7, 3.33], [9, 1.0]]], ['city 19', [[23, 21, 25, 18, 19, 19, 27, 27, 23, 18, 17, 21], 28], []], ['exact threshold', [[20, 20, 20, 20, 20, 20, 26, 26, 26, 22], 26], []]], [['city 12', [[27, 24, 26, 17, 20, 26, 23, 24, 20, 19, 26, 26], 26], []], ['city 21', [[35, 29, 27, 30, 30, 28, 29, 35, 22, 24, 24, 29], 24], [[6, 4.67], [7, 3.0], [9, 1.67]]], ['city 22', [[28, 23, 24, 20, 29, 28, 18, 28, 18, 26, 20, 18], 24], []], ['city 23', [[34, 34, 28, 22, 23, 27, 21, 21, 31, 24, 24, 23], 26], [[8, 0.89]]], ['city 24', [[32, 30, 18, 25, 18, 26, 28, 23, 31, 21, 25, 25], 28], []], ['city 25', [[28, 26, 30, 18, 22, 31, 20, 20, 24, 29, 29, 30], 26], [[8, 5.11], [9, 22.78]]], ['city 26', [[22, 27, 19, 25, 14, 26, 15, 25, 22, 25, 24, 18], 28], []], ['city 27', [[27, 19, 30, 29, 29, 24, 17, 20, 28, 21, 26, 24], 28], []]], [['city 16', [[26, 25, 22, 33, 23, 19, 25, 32, 22, 23, 23, 31], 26], [[6, 0.56]]], ['city 18', [[18, 21, 31, 27, 28, 30, 21, 28, 23, 31, 17, 27], 24], [[7, 3.33], [9, 1.0]]], ['city 28', [[23, 25, 34, 22, 30, 20, 28, 32, 31, 20, 33, 25], 24], [[6, 29.56], [7, 4.28], [8, 4.0], [9, 2.0]]], ['city 29', [[27, 24, 26, 19, 17, 20, 28, 16, 17, 28, 21, 20], 28], []], ['cool acclimatised spell', [[30, 30, 30, 30, 30, 30, 27, 27, 27, 20], 26], [[6, 1.0]]], ['exact threshold', [[20, 20, 20, 20, 20, 20, 26, 26, 26, 22], 26], []], ['short record', [[25, 26, 27, 28, 29, 30, 31, 32], 25], []], ['record ends in extreme heat', [[22, 23, 22, 24, 23, 22, 25, 26, 38, 40], 26], [[6, 25.67], [7, 99.67]]]]]\nfor label, args, expected in fixtures[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":"0439d04cca38e5af7391808c19ba121f35750219a210ce0485ccfe3fb73cbc3b","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(temps, t95):\n    res = []\n    for i in range(6, len(temps) - 2):\n        m3 = sum(temps[i:i + 3]) / 3.0\n        prior = sum(temps[i - 6:i]) / 6.0\n        sig = m3 - t95\n        accl = m3 - prior\n        ehf = sig * max(1.0, accl)\n        if ehf > 0:\n            res.append([i, round(ehf, 2)])\n    return res\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['city 0', [[22, 27, 20, 22, 21, 30, 25, 25, 32, 23, 32, 18], 26], [[6, 4.89], [7, 1.67], [8, 15.5]]], ['city 1', [[23, 29, 24, 33, 35, 26, 25, 26, 33, 32, 21, 28], 24], [[6, 4.0], [7, 10.56], [8, 4.67], [9, 3.0]]], ['city 2', [[17, 29, 19, 30, 23, 20, 30, 26, 21, 18, 24, 18], 24], [[6, 4.44]]], ['city 3', [[28, 25, 35, 35, 25, 28, 31, 22, 27, 32, 22, 22], 24], [[6, 2.67], [7, 3.0], [8, 3.0], [9, 1.33]]], ['city 4', [[22, 31, 30, 27, 29, 35, 31, 21, 24, 25, 32, 35], 24], [[6, 1.33], [8, 3.0], [9, 18.89]]], ['city 5', [[24, 24, 28, 33, 23, 27, 27, 28, 27, 28, 34, 25], 28], [[8, 3.33], [9, 1.5]]], ['city 6', [[19, 21, 29, 18, 27, 22, 19, 19, 28, 27, 23, 16], 28], []], ['city 22', [[28, 23, 24, 20, 29, 28, 18, 28, 18, 26, 20, 18], 24], []]], [['city 5', [[24, 24, 28, 33, 23, 27, 27, 28, 27, 28, 34, 25], 28], [[8, 3.33], [9, 1.5]]], ['city 7', [[16, 27, 21, 22, 21, 19, 24, 21, 22, 24, 19, 29], 26], []], ['city 8', [[32, 32, 34, 35, 29, 22, 30, 30, 24, 27, 28, 25], 24], [[6, 4.0], [7, 3.0], [8, 2.33], [9, 2.67]]], ['city 9', [[15, 26, 16, 15, 23, 19, 19, 28, 28, 27, 26, 26], 26], [[7, 13.33], [8, 7.0], [9, 1.44]]], ['city 10', [[19, 26, 22, 22, 17, 20, 16, 17, 28, 25, 25, 24], 28], []], ['city 11', [[27, 28, 31, 19, 23, 21, 32, 31, 22, 23, 20, 22], 26], [[6, 8.17]]], ['city 12', [[27, 24, 26, 17, 20, 26, 23, 24, 20, 19, 26, 26], 26], []], ['city 18', [[18, 21, 31, 27, 28, 30, 21, 28, 23, 31, 17, 27], 24], [[7, 3.33], [9, 1.0]]]], [['city 8', [[32, 32, 34, 35, 29, 22, 30, 30, 24, 27, 28, 25], 24], [[6, 4.0], [7, 3.0], [8, 2.33], [9, 2.67]]], ['city 14', [[35, 23, 27, 23, 34, 26, 24, 36, 35, 36, 25, 27], 24], [[6, 28.11], [7, 110.83], [8, 29.33], [9, 5.33]]], ['city 15', [[30, 27, 28, 21, 32, 33, 29, 31, 34, 31, 35, 28], 24], [[6, 20.78], [7, 29.33], [8, 40.44], [9, 9.78]]], ['city 16', [[26, 25, 22, 33, 23, 19, 25, 32, 22, 23, 23, 31], 26], [[6, 0.56]]], ['city 17', [[23, 21, 21, 21, 31, 19, 22, 25, 26, 27, 21, 20], 28], []], ['city 18', [[18, 21, 31, 27, 28, 30, 21, 28, 23, 31, 17, 27], 24], [[7, 3.33], [9, 1.0]]], ['city 19', [[23, 21, 25, 18, 19, 19, 27, 27, 23, 18, 17, 21], 28], []], ['exact threshold', [[20, 20, 20, 20, 20, 20, 26, 26, 26, 22], 26], []]], [['city 12', [[27, 24, 26, 17, 20, 26, 23, 24, 20, 19, 26, 26], 26], []], ['city 21', [[35, 29, 27, 30, 30, 28, 29, 35, 22, 24, 24, 29], 24], [[6, 4.67], [7, 3.0], [9, 1.67]]], ['city 22', [[28, 23, 24, 20, 29, 28, 18, 28, 18, 26, 20, 18], 24], []], ['city 23', [[34, 34, 28, 22, 23, 27, 21, 21, 31, 24, 24, 23], 26], [[8, 0.89]]], ['city 24', [[32, 30, 18, 25, 18, 26, 28, 23, 31, 21, 25, 25], 28], []], ['city 25', [[28, 26, 30, 18, 22, 31, 20, 20, 24, 29, 29, 30], 26], [[8, 5.11], [9, 22.78]]], ['city 26', [[22, 27, 19, 25, 14, 26, 15, 25, 22, 25, 24, 18], 28], []], ['city 27', [[27, 19, 30, 29, 29, 24, 17, 20, 28, 21, 26, 24], 28], []]], [['city 16', [[26, 25, 22, 33, 23, 19, 25, 32, 22, 23, 23, 31], 26], [[6, 0.56]]], ['city 18', [[18, 21, 31, 27, 28, 30, 21, 28, 23, 31, 17, 27], 24], [[7, 3.33], [9, 1.0]]], ['city 28', [[23, 25, 34, 22, 30, 20, 28, 32, 31, 20, 33, 25], 24], [[6, 29.56], [7, 4.28], [8, 4.0], [9, 2.0]]], ['city 29', [[27, 24, 26, 19, 17, 20, 28, 16, 17, 28, 21, 20], 28], []], ['cool acclimatised spell', [[30, 30, 30, 30, 30, 30, 27, 27, 27, 20], 26], [[6, 1.0]]], ['exact threshold', [[20, 20, 20, 20, 20, 20, 26, 26, 26, 22], 26], []], ['short record', [[25, 26, 27, 28, 29, 30, 31, 32], 25], []], ['record ends in extreme heat', [[22, 23, 22, 24, 23, 22, 25, 26, 38, 40], 26], [[6, 25.67], [7, 99.67]]]]]\nfor label, args, expected in fixtures[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":"Stipulated deterministic teaching model of an operational weather index; coefficients and thresholds are fixed by the contract and no claim of standards conformance is made. 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-weather_index_computation-excess-heat-factor-positive-ehf-test","generated_at":"2026-09-29T14:48:28.619768+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Heat-health warning systems trigger on positive excess heat factor.","repair":"Report only days with EHF > 0.","root_cause":"The report filters on acclimatisation instead of the EHF sign.","sha256":"719bf5ae3dc8f7accb2bfaf7e3383a3d177d57db1bb00166df272d6f8d371b2a","title":"Excess heat factor heatwave days: positive EHF test · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":37.682,"exit_code":1,"observations":[{"actual":[[6,4.89],[7,1.67],[8,15.5]],"check":"city 0","expected":[[6,4.89],[7,1.67],[8,15.5]],"passed":true},{"actual":[[6,4.0],[7,10.56],[8,4.67],[9,3.0]],"check":"city 1","expected":[[6,4.0],[7,10.56],[8,4.67],[9,3.0]],"passed":true},{"actual":[[6,4.44]],"check":"city 2","expected":[[6,4.44]],"passed":true},{"actual":[[6,2.67],[7,3.0],[8,3.0],[9,1.33]],"check":"city 3","expected":[[6,2.67],[7,3.0],[8,3.0],[9,1.33]],"passed":true},{"actual":[[6,1.33],[8,3.0],[9,18.89]],"check":"city 4","expected":[[6,1.33],[8,3.0],[9,18.89]],"passed":true},{"actual":[[8,3.33],[9,1.5]],"check":"city 5","expected":[[8,3.33],[9,1.5]],"passed":true},{"actual":[],"check":"city 6","expected":[],"passed":true},{"actual":[[7,0.0]],"check":"city 22","expected":[],"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"city 0\", \"actual\": [[6, 4.89], [7, 1.67], [8, 15.5]], \"expected\": [[6, 4.89], [7, 1.67], [8, 15.5]], \"passed\": true}, {\"check\": \"city 1\", \"actual\": [[6, 4.0], [7, 10.56], [8, 4.67], [9, 3.0]], \"expected\": [[6, 4.0], [7, 10.56], [8, 4.67], [9, 3.0]], \"passed\": true}, {\"check\": \"city 2\", \"actual\": [[6, 4.44]], \"expected\": [[6, 4.44]], \"passed\": true}, {\"check\": \"city 3\", \"actual\": [[6, 2.67], [7, 3.0], [8, 3.0], [9, 1.33]], \"expected\": [[6, 2.67], [7, 3.0], [8, 3.0], [9, 1.33]], \"passed\": true}, {\"check\": \"city 4\", \"actual\": [[6, 1.33], [8, 3.0], [9, 18.89]], \"expected\": [[6, 1.33], [8, 3.0], [9, 18.89]], \"passed\": true}, {\"check\": \"city 5\", \"actual\": [[8, 3.33], [9, 1.5]], \"expected\": [[8, 3.33], [9, 1.5]], \"passed\": true}, {\"check\": \"city 6\", \"actual\": [], \"expected\": [], \"passed\": true}, {\"check\": \"city 22\", \"actual\": [[7, 0.0]], \"expected\": [], \"passed\": false}], \"passed\": false}\n"},"broken":{"elapsed_ms":36.674,"exit_code":1,"observations":[{"actual":[[6,4.89],[7,1.67],[8,15.5]],"check":"city 0","expected":[[6,4.89],[7,1.67],[8,15.5]],"passed":true},{"actual":[[7,10.56],[8,4.67]],"check":"city 1","expected":[[6,4.0],[7,10.56],[8,4.67],[9,3.0]],"passed":false},{"actual":[[6,4.44]],"check":"city 2","expected":[[6,4.44]],"passed":true},{"actual":[],"check":"city 3","expected":[[6,2.67],[7,3.0],[8,3.0],[9,1.33]],"passed":false},{"actual":[[9,18.89]],"check":"city 4","expected":[[6,1.33],[8,3.0],[9,18.89]],"passed":false},{"actual":[[6,-0.67],[7,-0.33],[8,3.33],[9,1.5]],"check":"city 5","expected":[[8,3.33],[9,1.5]],"passed":false},{"actual":[[7,-6.67],[8,-7.33]],"check":"city 6","expected":[],"passed":false},{"actual":[[7,0.0]],"check":"city 22","expected":[],"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"city 0\", \"actual\": [[6, 4.89], [7, 1.67], [8, 15.5]], \"expected\": [[6, 4.89], [7, 1.67], [8, 15.5]], 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