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- def naive_network_benchmarking(network, path_list, bounces, sample_times):
- fidelity = {}
- cost = 0
- # ガード: サンプル0なら何もしない
- if sample_times and not any(sample_times.values()):
- return 0, 0, None
- for path in path_list:
- p, bounces_num = network.benchmark_path(path, bounces, sample_times)
- fidelity[path] = p + (1 - p) / 2
- cost += bounces_num
- if not fidelity: # ガード: path_list空など
- return 0, cost, None
- best_path = max(fidelity, key=fidelity.get)
- correctness = (best_path == network.best_path)
- best_path_fidelity = fidelity[best_path]
- return correctness, cost, best_path_fidelity
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