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- # schedulers/groups_scheduler.py
- from .groups_nb import groups_network_benchmarking_with_budget
- # 追加:重要度→グループ化
- def _group_paths_by_importance(path_num: int, importance: float):
- """
- 重要度に応じて実リンクID(1..L)をグループ化した二次元配列を返す。
- 0.75 < I <= 1.00 : まとめない([ [1], [2], ..., [L] ])
- 0.50 < I <= 0.75 : 2本ずつ(余りは小グループでOK)
- 0.25 < I <= 0.50 : 3本ずつ(余りは小グループでOK)
- 0.00 < I <= 0.25 : 全部まとめる([ [1,2,...,L] ])
- """
- L = int(path_num)
- ids = list(range(1, L + 1))
- I = float(importance)
- if I > 0.75:
- return [[i] for i in ids]
- if I > 0.50:
- size = 2
- elif I > 0.25:
- size = 3
- else:
- return [ids] # 全まとめ
- groups = []
- for i in range(0, L, size):
- groups.append(ids[i:i+size])
- return groups
- def groups_budget_scheduler(
- node_path_list, # 例: [2, 2, 2] … 各ペアのパス本数
- importance_list, # 例: [0.3, 0.5, 0.7] … 長さは node_path_list と同じ(ここでは未使用)
- bounces, # 例: [1,2,3,4](重複なし)
- C_total, # 総予算(切り捨て配分、超過しない)
- network_generator, # callable: (path_num, pair_idx) -> network
- return_details=False,
- ):
- num_pairs = len(node_path_list)
- assert num_pairs == len(importance_list), "length mismatch: node_path_list vs importance_list"
- if num_pairs == 0:
- return ([], 0, []) if return_details else ([], 0)
- assert len(bounces) == len(set(bounces)), "bounces must be unique"
- assert all(isinstance(w, int) and w > 0 for w in bounces), "bounces must be positive ints"
- # 均等配分:1ペアあたりの割当
- C_per_pair = int(C_total // max(num_pairs, 1))
- per_pair_results = []
- per_pair_details = []
- total_cost = 0
- for pair_idx, path_num in enumerate(node_path_list):
- if path_num <= 0:
- per_pair_results.append((False, 0, None))
- if return_details:
- per_pair_details.append({"alloc_by_path": {}, "est_fid_by_path": {}})
- continue
- network = network_generator(path_num, pair_idx)
- # 追加:重要度に応じたグループ
- groups = _group_paths_by_importance(path_num, importance_list[pair_idx])
- path_list = list(range(1, path_num + 1))
- if return_details:
- correctness, cost, best_path_fidelity, alloc_by_path, est_fid_by_path = \
- groups_network_benchmarking_with_budget(
- network, path_list, list(bounces), C_per_pair, groups=groups, return_details=True
- )
- per_pair_details.append({
- "alloc_by_path": {int(k): int(v) for k, v in alloc_by_path.items()},
- "est_fid_by_path": {int(k): float(v) for k, v in est_fid_by_path.items()},
- })
- else:
- correctness, cost, best_path_fidelity = groups_network_benchmarking_with_budget(
- network, path_list, list(bounces), C_per_pair, groups=groups,
- )
- per_pair_results.append((bool(correctness), int(cost), best_path_fidelity))
- total_cost += int(cost)
- return (per_pair_results, total_cost, per_pair_details) if return_details \
- else (per_pair_results, total_cost)
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