for i in range(0, 5):
a = rd.randint(1, n)
b = a
while b == a:
b = rd.randint(1, n)
x = bfs(G, a, b)
if x > av_dist:
av_dist = x
return av_dist
print()
G6 = graph6.Graph()
print(
'The diameter of G6 (i.e. the maximum distance between two vertices) is:',
max_distance(G6))
G6 = graph6.Graph() # we initialize again the attributes of the graph G6
print('I found the distance between two random vertices in G6 to be:',
random_distance(G6))
print()
G7 = graph7.Graph()
print(
'The diameter of G7 (i.e. the maximum distance between two vertices) is:',
max_distance(G7))
G7 = graph7.Graph() # we initialize again the attributes of the graph G7
print('I found the distance between two random vertices in G7 to be:',
random_distance(G7))
G.add_edge(1, 3)
G.add_edge(1, 4)
G.add_edge(1, 5)
G.add_edge(2, 6)
G.add_edge(2, 7)
G.add_edge(3, 7)
G.add_edge(4, 7)
G.add_edge(5, 6)
G.add_nodes_from(G.nodes(), colour='never coloured')
G.add_nodes_from(G.nodes(), label=-1)
G.add_nodes_from(G.nodes(), visited='no')
dfs(G, 1)
quit()
print()
G6 = graph6.Graph()
visited_counter = 0
print('The nodes of G6 are visited by depth-first-search in this order:')
dfs(G6, 1)
print()
G7 = graph7.Graph()
visited_counter = 0
print('The nodes of G7 are visited by depth-first-search in this order:')
dfs(G7, 1)
print()
G8 = graph8.Graph()
visited_counter = 0
print('The nodes of G8 are visited by depth-first-search in this order:')
dfs(G8, 1)
n = len(G.nodes())
global kmax
kmax = 1
global visited_counter
visited_counter = 1
colour = find_smallest_colour(G, 1)
G.nodes[1]['colour'] = colour
G.nodes[1]['visited'] = 'yes'
while visited_counter <= n - 1:
visited_counter += 1
i = find_next_vertex(G)
print(i)
G.nodes[i]['visited'] = 'yes'
colour = find_smallest_colour(G, i)
G.nodes[i]['colour'] = colour
if colour > kmax:
kmax = colour
print()
for i in G.nodes():
print('vertex', i, ': colour', G.nodes[i]['colour'])
print()
print('The number of colours that Greedy computed is:', kmax)
print()
print('Graph G6:')
G = graph6.Graph()
G.add_nodes_from(G.nodes(), visited='no')
greedy(G)
