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

paired arrays must align

Error message

paired arrays must align

What it means

Error "paired arrays must align" thrown in rohitg00/ai-engineering-from-scratch.

Source

Thrown at phases/19-capstone-projects/74-leaderboard-aggregation/code/main.py:128

    n = arr.size
    means = np.empty(b, dtype=np.float64)
    for i in range(b):
        idx = rng.integers(0, n, size=n)
        means[i] = float(arr[idx].mean())
    lo = float(np.percentile(means, 100.0 * (alpha / 2.0)))
    hi = float(np.percentile(means, 100.0 * (1.0 - alpha / 2.0)))
    return (lo, hi)


def bootstrap_pairwise_diff(
    paired_a: Sequence[float],
    paired_b: Sequence[float],
    b: int = 1000,
    alpha: float = 0.05,
    seed: int = 0,
) -> tuple[float, float, float]:
    if len(paired_a) != len(paired_b):
        raise ValueError("paired arrays must align")
    if len(paired_a) == 0:
        return (0.0, 0.0, 0.0)
    rng = np.random.default_rng(seed)
    a = np.asarray(paired_a, dtype=np.float64)
    b_arr = np.asarray(paired_b, dtype=np.float64)
    diffs = a - b_arr
    diff_mean = float(diffs.mean())
    n = diffs.size
    boots = np.empty(b, dtype=np.float64)
    for i in range(b):
        idx = rng.integers(0, n, size=n)
        boots[i] = float(diffs[idx].mean())
    lo = float(np.percentile(boots, 100.0 * (alpha / 2.0)))
    hi = float(np.percentile(boots, 100.0 * (1.0 - alpha / 2.0)))
    return (diff_mean, lo, hi)


def _win_rate(model_id: str, runs_by_task: dict[str, list[EvalRun]]) -> tuple[float, int]:

View on GitHub (pinned to 39ea8a1c6d)

When it happens

Trigger: Thrown at phases/19-capstone-projects/74-leaderboard-aggregation/code/main.py:128 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/e856bb87fa3db25a. Report an issue: GitHub.