rohitg00/ai-engineering-from-scratch · error · PairingError

duplicate baseline seed {seed_i} (spec {r.spec_id})

Error message

duplicate baseline seed {seed_i} (spec {r.spec_id})

What it means

Error "duplicate baseline seed {seed_i} (spec {r.spec_id})" thrown in rohitg00/ai-engineering-from-scratch.

Source

Thrown at phases/19-capstone-projects/53-result-evaluator/code/main.py:193

    metric: str,
) -> tuple[list[float], list[float]]:
    cand_map: dict[int, float] = {}
    for r in candidates:
        seed = r.metrics.get("seed")
        if seed is None:
            raise PairingError(f"candidate {r.spec_id} missing seed")
        seed_i = int(seed)
        if seed_i in cand_map:
            raise PairingError(f"duplicate candidate seed {seed_i} (spec {r.spec_id})")
        cand_map[seed_i] = float(r.metrics[metric])
    base_map: dict[int, float] = {}
    for r in baselines:
        seed = r.metrics.get("seed")
        if seed is None:
            raise PairingError(f"baseline {r.spec_id} missing seed")
        seed_i = int(seed)
        if seed_i in base_map:
            raise PairingError(f"duplicate baseline seed {seed_i} (spec {r.spec_id})")
        base_map[seed_i] = float(r.metrics[metric])
    shared = sorted(set(cand_map.keys()) & set(base_map.keys()))
    if not shared:
        raise PairingError("no shared seeds between candidate and baseline")
    return [cand_map[s] for s in shared], [base_map[s] for s in shared]


def _improvement(candidate_mean: float, baseline_mean: float, direction: str) -> float:
    denom = abs(baseline_mean) if baseline_mean != 0.0 else 1.0
    raw = (candidate_mean - baseline_mean) / denom
    if direction == LOWER:
        return -raw
    return raw


def _log_transform(values: list[float], scale: str) -> list[float]:
    if scale != LOG:
        return list(values)

View on GitHub (pinned to 39ea8a1c6d)

When it happens

Trigger: Thrown at phases/19-capstone-projects/53-result-evaluator/code/main.py:193 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of rohitg00/ai-engineering-from-scratch@39ea8a1c6d (2026-08-26). Data as JSON: /api/errors/80131fda81266d02. Report an issue: GitHub.