def fill(self, graph: Graph):
for i in graph.get_edges(self.custom_vertex):
self.matrix[i[0]][i[1]] += i[2]
for i in range(self.n):
for j in range(self.m):
if i != j and self.matrix[i][j] == 0:
self.matrix[i][j] = inf
def fill(self, graph: Graph):
for i, edge in enumerate(graph.get_edges()):
if edge[0] == edge[1]:
self.matrix[edge[0]][i] += 1
self.matrix[edge[0]][i] += -1
self.matrix[edge[1]][i] += 1
graph.add_edge('D', 'E')
# Or, read a graph in from a file
# graph = read_graph_from_file('test_files/graph_small_directed.txt')
print(graph)
# Output the vertices & edges
# Print vertices
print(f'The vertices are: {graph.get_vertices()} \n')
# Print edges
print('The edges are:')
# for vertex_obj in graph.get_vertices():
# for neighbor_obj in vertex_obj.get_neighbors():
# print(f'({vertex_obj.get_id()} , {neighbor_obj.get_id()})')
print(graph.get_edges())
# Search the graph
print('Performing BFS traversal...')
graph.bfs_traversal('A')
# Find shortest path
print('Finding shortest path from vertex A to vertex E...')
shortest_path = graph.find_shortest_path('A', 'E')
print(shortest_path)
# Find all vertices N distance away
print('Finding all vertices distance 2 away...')
vertices_2_away = graph.find_vertices_n_away('A', 2)
print(vertices_2_away)
