Exemple #1
0
        # if not has link between i, j or has short one
        for j in range(1, number):
            if not final[j] and min + \
                    graph.get_arc(k, j, 255) < short_path_weight[j]:
                short_path_weight[j] = min + graph.get_arc(k, j)
                short_vertexs[j] = k

    print(short_vertexs)
    print(short_path_weight)


if __name__ == '__main__':
    from adjacency_matrix import AdjacencyMatrix
    test = AdjacencyMatrix(False, 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I')
    test.insert_arc('A', 'B', 1)
    test.insert_arc('A', 'C', 5)
    test.insert_arc('B', 'C', 3)
    test.insert_arc('B', 'D', 7)
    test.insert_arc('B', 'E', 5)
    test.insert_arc('C', 'E', 1)
    test.insert_arc('C', 'F', 7)
    test.insert_arc('D', 'G', 3)
    test.insert_arc('D', 'E', 2)
    test.insert_arc('E', 'F', 3)
    test.insert_arc('E', 'G', 6)
    test.insert_arc('E', 'H', 9)
    test.insert_arc('F', 'H', 5)
    test.insert_arc('G', 'H', 2)
    test.insert_arc('G', 'I', 7)
    test.insert_arc('H', 'I', 4)
Exemple #2
0
    print(graph.get_vertex_value(i))

    for j in range(graph.get_number()):
        if graph.has_arc(i, j) and not vertex_visited[j]:
            depth_first_search(graph, j)


def depth_first_search_traverse(graph):
    global vertex_visited
    for i in range(graph.get_number()):
        if not vertex_visited[i]:
            depth_first_search(graph, i)


test = AdjacencyMatrix(False, 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I')
test.insert_arc('A', 'B', 1)
test.insert_arc('A', 'F', 1)
test.insert_arc('B', 'G', 1)
test.insert_arc('F', 'G', 1)
test.insert_arc('E', 'F', 1)
test.insert_arc('E', 'H', 1)
test.insert_arc('D', 'E', 1)
test.insert_arc('D', 'H', 1)
test.insert_arc('G', 'H', 1)
test.insert_arc('D', 'G', 1)
test.insert_arc('D', 'I', 1)
test.insert_arc('C', 'D', 1)
test.insert_arc('C', 'I', 1)
test.insert_arc('B', 'C', 1)
test.insert_arc('B', 'I', 1)
        while j < number:
            if lowcast[j] != 0 and lowcast[j] < min:
                min = lowcast[j]
                k = j
            j += 1

        print(adjvex[k], k)
        lowcast[k] = 0
        for j in range(1, number):
            if lowcast[j] != 0 and graph.get_arc(k, j, MAX) < lowcast[j]:
                lowcast[j] = graph.get_arc(k, j, MAX)
                adjvex[j] = k


test = AdjacencyMatrix(False, 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I')
test.insert_arc('A', 'B', 10)
test.insert_arc('A', 'F', 11)
test.insert_arc('B', 'G', 16)
test.insert_arc('F', 'G', 17)
test.insert_arc('E', 'F', 26)
test.insert_arc('E', 'H', 7)
test.insert_arc('D', 'E', 20)
test.insert_arc('D', 'H', 16)
test.insert_arc('G', 'H', 19)
test.insert_arc('D', 'G', 24)
test.insert_arc('D', 'I', 21)
test.insert_arc('C', 'D', 22)
test.insert_arc('C', 'I', 8)
test.insert_arc('B', 'C', 18)
test.insert_arc('B', 'I', 12)