<｜begin▁of▁sentence｜>### Instruction:
As a dog trainer, imagine you have a group of dogs, each identified by a unique number from 0 to 5. Now, these dogs are connected by leashes, forming a network of relationships. You want to understand the different ways these leashes can be rearranged while keeping the overall structure of the network the same. 

To do this, you're interested in finding the generators of the automorphism group of this network. Think of these generators as special training techniques that reveal the fundamental transformations without changing the essence of the network. You'll use a specialized algorithm called BLISS, akin to a secret technique in dog training, to accomplish this task. 

Now, imagine you have a tool called the "DogNetworkAnalyzer API", which allows you to input the network of dogs and leashes and then employs the BLISS algorithm to determine these fundamental transformations, or "generators," of the network's automorphism group. With this insight, you can better understand the underlying structure of the dog network and tailor your training strategies accordingly.
### Response:
import igraph as ig

# Create an undirected graph
vertices = 6
edges = [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 0), (2, 4)]
g = ig.Graph(vertices, edges)

# Calculate automorphism group generators
aut_group_generators = g.automorphism_group()
print('Automorphism group generators:', aut_group_generators)
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