|
| 1 | +""" |
| 2 | +@author: Alex |
| 3 | +@contact: 1272296763@qq.com or jakinmili@gmail.com |
| 4 | +@file: EulerLoopDetection.py |
| 5 | +@time: 2019年10月20日 19:12 |
| 6 | +""" |
| 7 | +class EulerLoopDetection: |
| 8 | + |
| 9 | + def __init__(self, filename): |
| 10 | + self.V = 0 # 顶点数 |
| 11 | + self.E = 0 # 边数 |
| 12 | + self.adj = None |
| 13 | + self.__cccount = 0 # 联通分量 |
| 14 | + self.__visited = None |
| 15 | + |
| 16 | + with open(filename) as f: |
| 17 | + line_num = 0 # 第一行是顶点数和边数 |
| 18 | + for line in f: |
| 19 | + if line_num == 0: |
| 20 | + v, e = line.strip().split() |
| 21 | + self.V = int(v) |
| 22 | + self.E = int(e) |
| 23 | + self.adj = [[] for i in range(self.V)] # 创建二维数组即邻接表 |
| 24 | + else: |
| 25 | + # 读取边 写入邻接表 |
| 26 | + v1, v2 = line.strip().split() |
| 27 | + # 转化为整数 |
| 28 | + v1 = int(v1) |
| 29 | + v2 = int(v2) |
| 30 | + self.adj[v1].append(v2) |
| 31 | + self.adj[v2].append(v1) |
| 32 | + line_num += 1 |
| 33 | + |
| 34 | + # dfs遍历 |
| 35 | + self.graphDFS() |
| 36 | + |
| 37 | + def get_graph_information(self): |
| 38 | + """ |
| 39 | + 打印图的邻接表 |
| 40 | + :return: |
| 41 | + """ |
| 42 | + print("V={}, E={}".format(self.V, self.E)) |
| 43 | + for i, v in enumerate(self.adj): |
| 44 | + print("{} : {}".format(i, v)) |
| 45 | + |
| 46 | + def validateVertex(self, v): |
| 47 | + """ |
| 48 | + 验证顶点取值 |
| 49 | + :param v: |
| 50 | + :return: |
| 51 | + """ |
| 52 | + if v<0 or v>=self.V: |
| 53 | + raise ValueError("v值超出范围") |
| 54 | + |
| 55 | + def hasEdge(self, v, w): |
| 56 | + """ |
| 57 | + 判断两个顶点是否存在 |
| 58 | + :param v: 第一个顶点 |
| 59 | + :param w: 第二个顶点 |
| 60 | + :return: true or false |
| 61 | + """ |
| 62 | + self.validateVertex(v) |
| 63 | + self.validateVertex(w) |
| 64 | + return w in self.adj[v] |
| 65 | + |
| 66 | + def degree(self, v): |
| 67 | + """ |
| 68 | + 求某个顶点的度 |
| 69 | + :param v: |
| 70 | + :return: |
| 71 | + """ |
| 72 | + self.validateVertex(v) |
| 73 | + return len(self.adj[v]) |
| 74 | + |
| 75 | + |
| 76 | + def graphDFS(self): |
| 77 | + visited = [-1 for i in range(self.V)] |
| 78 | + cccount = 0 # 联通分量 |
| 79 | + |
| 80 | + def dfs(v, ccid): |
| 81 | + # 标记v顶点已经遍历过了 |
| 82 | + visited[v] = ccid |
| 83 | + # 添加 |
| 84 | + for w in self.adj[v]: |
| 85 | + if visited[w] == -1: |
| 86 | + dfs(w, ccid) |
| 87 | + # 此刻对某个顶点的邻点已经遍历结束 |
| 88 | + |
| 89 | + # 顾及到有多个联通分量,对每个顶点都做DFS |
| 90 | + for i in range(self.V): |
| 91 | + if visited[i] == -1: |
| 92 | + dfs(i, cccount) |
| 93 | + cccount += 1 |
| 94 | + self.__cccount = cccount |
| 95 | + self.__visited = visited |
| 96 | + |
| 97 | + |
| 98 | + def get_cccount(self): |
| 99 | + """ |
| 100 | + 获取该图的联通分量大小 |
| 101 | + :return: |
| 102 | + """ |
| 103 | + return self.__cccount |
| 104 | + |
| 105 | + |
| 106 | + def hasEulerLoop(self): |
| 107 | + |
| 108 | + # 联通分量判断 |
| 109 | + if self.get_cccount() > 1: |
| 110 | + print("该图不存在欧拉回路(Euler Loop)") |
| 111 | + return False |
| 112 | + |
| 113 | + # 度数判断 |
| 114 | + for v in range(self.V): |
| 115 | + if self.degree(v) % 2 == 1: |
| 116 | + print("该图不存在欧拉回路(Euler Loop)") |
| 117 | + return False |
| 118 | + |
| 119 | + print("该图存在欧拉回路(Euler Loop)") |
| 120 | + return True |
| 121 | + |
| 122 | +if __name__ == '__main__': |
| 123 | + ELD = EulerLoopDetection("g.txt") |
| 124 | + ELD.get_graph_information() |
| 125 | + ELD.hasEulerLoop() |
| 126 | + |
| 127 | + ELD2 = EulerLoopDetection("g2.txt") |
| 128 | + ELD2.get_graph_information() |
| 129 | + ELD2.hasEulerLoop() |
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