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| import json
| import sys
|
|
| def calculate_similarity(path1, path2):
| # 将路径转换为集合
| set1 = set(path1)
| set2 = set(path2)
|
| # 计算重叠节点
| overlap = len(set1.intersection(set2))
|
| # 计算总节点
| total_nodes = len(set1.union(set2))
|
| # 计算相似度
| similarity = overlap / total_nodes if total_nodes > 0 else 0
|
| return similarity
|
| path_a_str = sys.argv[1]
| path_b_str = sys.argv[2]
|
| path_a = json.loads(path_a_str)
| path_a = [(int(x[0]), int(x[1])) for x in path_a]
|
| path_b = json.loads(path_b_str)
| path_b = [(int(x[0]), int(x[1])) for x in path_b]
|
| # # 示例路径
| # path_a = [(1, 1), (1, 2), (1, 3), (1, 4), (2, 4), (3, 4), (4, 4), (5, 4), (6, 4), (7, 4), (8, 4), (9, 4), (10, 4), (10, 5), (10, 6), (11, 6)]
| # path_b = [(1, 1), (1, 2), (1, 3), (1, 4), (2, 4), (3, 4), (4, 4), (5, 4), (6, 4), (7, 4), (8, 4), (9, 4), (10, 4), (10, 5), (10, 6), (11, 6)]
|
|
| # 计算相似度
| similarity_score = calculate_similarity(path_a, path_b)
|
| calcResult = 200
|
| result = {
| "firstPath": json.dumps(path_a),
| "secondPath": json.dumps(path_b),
| "similarity": similarity_score,
| "calcResult": calcResult
| }
|
| print(result)
|
|
