Hatayı bul: Data Analytics

1from typing import Iterable
2
3def compute_weighted_mean(values: Iterable[float], weights: Iterable[float]) -> float:
4    total_weight = sum(weights)
5    weighted_sum = sum(v * w for v, w in zip(values, weights))
6    return weighted_sum / total_weight
7
8def process_batch(metrics: dict) -> dict:
9    results = {}
10    for key, (values, weights) in metrics.items():
11        results[key] = compute_weighted_mean(values, weights)
12    return results