def mold_growth(self, start, search_range):
""" For finding all of the nodes around within a certain range, simulating mold exploring around itself for food
"""
food = list()
# Find all nodes of food around the starting point, simulating the mold growing out in all directions
for dist in range(search_range):
current_found = Graph.find_vertices_n_away(graph, start, dist)
if current_found not in food:
food.append(current_found)
return food
graph.add_edge('B', 'C')
graph.add_edge('B', 'D')
graph.add_edge('D', 'E')
graph.add_edge('F', 'G')
# Or, read a graph in from a file
# graph = read_graph_from_file('test_files/graph_small_directed.txt')
# 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()})')
# 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)
