|
| 1 | +import queue |
| 2 | + |
| 3 | + |
| 4 | +class UndirectedGraph(object): |
| 5 | + """ |
| 6 | + Undirected Graph, with graph represented as an adjacency matrix |
| 7 | + """ |
| 8 | + |
| 9 | + def __init__(self, vertices): |
| 10 | + self.adjacency_matrix = [] |
| 11 | + for i in range(vertices): |
| 12 | + self.adjacency_matrix.append([0] * vertices) |
| 13 | + |
| 14 | + def add_edge(self, source, destination): |
| 15 | + """ |
| 16 | + Adds an edge defined by vertices from source to destination |
| 17 | + then destination to source in matrix |
| 18 | + :param source: |
| 19 | + :param destination: |
| 20 | + :return: |
| 21 | + """ |
| 22 | + self.adjacency_matrix[source][destination] = 1 |
| 23 | + self.adjacency_matrix[destination][source] = 1 |
| 24 | + |
| 25 | + def get_vertex(self): |
| 26 | + """ |
| 27 | + Generator for returning the next vertex from the adjacency list |
| 28 | + :return: |
| 29 | + """ |
| 30 | + for v, __ in enumerate(self.adjacency_matrix): |
| 31 | + yield v |
| 32 | + |
| 33 | + def get_neighbor(self, vertex): |
| 34 | + """ |
| 35 | + Generator for returning the next vertex adjacent to the given vertex |
| 36 | + :param vertex: |
| 37 | + :return: |
| 38 | + """ |
| 39 | + for i, flag in enumerate(self.adjacency_matrix[vertex]): |
| 40 | + if flag == 1: |
| 41 | + yield i |
| 42 | + |
| 43 | + def dfs_recursive(self): |
| 44 | + """ |
| 45 | + Computes the parents for each vertex as determined through depth-first-search |
| 46 | + (though not too meaningful in an undirected weightless graph) |
| 47 | + :return: parents for each vertex |
| 48 | + :rtype: dict |
| 49 | + """ |
| 50 | + parents = {} |
| 51 | + |
| 52 | + self.dfs_util(0, parents) |
| 53 | + |
| 54 | + return parents |
| 55 | + |
| 56 | + def dfs_util(self, vertex, parents): |
| 57 | + for u in self.get_neighbor(vertex): |
| 58 | + if u not in parents: |
| 59 | + parents[u] = vertex |
| 60 | + self.dfs_util(u, parents) |
| 61 | + |
| 62 | + def dfs_iterative(self): |
| 63 | + """ |
| 64 | + Computes the parents for each vertex as determined through depth-first-search |
| 65 | + (though not too meaningful in an undirected weightless graph) |
| 66 | + :return: parents for each vertex |
| 67 | + :rtype: dict |
| 68 | + """ |
| 69 | + parents = {} |
| 70 | + to_visit = [0] |
| 71 | + |
| 72 | + while to_visit: |
| 73 | + v = to_visit.pop() |
| 74 | + |
| 75 | + for neighbor in self.get_neighbor(v): |
| 76 | + if neighbor not in parents: |
| 77 | + parents[neighbor] = v |
| 78 | + to_visit.append(neighbor) |
| 79 | + |
| 80 | + return parents |
| 81 | + |
| 82 | + def bfs(self): |
| 83 | + """ |
| 84 | + Computes the the parents for each vertex as determined through breadth-first search |
| 85 | + :return: parents for each vertex |
| 86 | + :rtype: dict |
| 87 | + """ |
| 88 | + parents = {} |
| 89 | + to_visit = queue.Queue() |
| 90 | + to_visit.put(0) |
| 91 | + |
| 92 | + while not to_visit.empty(): |
| 93 | + v = to_visit.get() |
| 94 | + |
| 95 | + for neighbor in self.get_neighbor(v): |
| 96 | + if neighbor not in parents: |
| 97 | + parents[neighbor] = v |
| 98 | + to_visit.put(neighbor) |
| 99 | + |
| 100 | + return parents |
| 101 | + |
| 102 | + |
| 103 | +def get_test_graph_1(): |
| 104 | + udg = UndirectedGraph(9) |
| 105 | + udg.add_edge(0, 1) |
| 106 | + udg.add_edge(1, 2) |
| 107 | + udg.add_edge(2, 3) |
| 108 | + udg.add_edge(1, 7) |
| 109 | + udg.add_edge(3, 7) |
| 110 | + udg.add_edge(7, 8) |
| 111 | + udg.add_edge(3, 4) |
| 112 | + udg.add_edge(3, 5) |
| 113 | + udg.add_edge(4, 5) |
| 114 | + udg.add_edge(5, 6) |
| 115 | + udg.add_edge(6, 7) |
| 116 | + udg.add_edge(6, 8) |
| 117 | + |
| 118 | + return udg |
| 119 | + |
| 120 | + |
| 121 | +def test_dfs_recursive(): |
| 122 | + udg = get_test_graph_1() |
| 123 | + p1 = udg.dfs_recursive() |
| 124 | + assert(p1 == {0: 1, 1: 0, 2: 1, 3: 2, 4: 3, 5: 4, 6: 5, 7: 6, 8: 7}) |
| 125 | + |
| 126 | + |
| 127 | +def test_dfs_iterative(): |
| 128 | + udg = get_test_graph_1() |
| 129 | + p1 = udg.dfs_iterative() |
| 130 | + assert(p1 == {0: 1, 1: 0, 2: 1, 3: 7, 4: 5, 5: 6, 6: 7, 7: 1, 8: 7}) |
| 131 | + |
| 132 | + |
| 133 | +def test_bfs(): |
| 134 | + udg = get_test_graph_1() |
| 135 | + p1 = udg.bfs() |
| 136 | + assert(p1 == {0: 1, 1: 0, 2: 1, 3: 2, 4: 3, 5: 3, 6: 7, 7: 1, 8: 7}) |
| 137 | + |
| 138 | + |
| 139 | +def main(): |
| 140 | + test_dfs_recursive() |
| 141 | + test_dfs_iterative() |
| 142 | + test_bfs() |
| 143 | + |
| 144 | + print("Tests complete.") |
| 145 | + |
| 146 | +if __name__ == "__main__": |
| 147 | + main() |
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