<｜begin▁of▁sentence｜>### Instruction:
As a Dog Groomer, imagine you're tasked with grooming a pack of 10 dogs, each with varying fur lengths and styles. You've got to ensure that every dog looks their best, which means trimming their fur, clipping their nails, and styling their coats as needed.

Now, let's say you've got a specific tool, let's call it the "FurMaster 5000," which helps you analyze the connectivity between the different parts of the fur on each dog. You know that this tool can be quite handy when it comes to understanding how well-connected the fur is across the entire body of each dog.

So, here's the scenario: you have these 10 dogs in your grooming salon, and you've used the FurMaster 5000 to gather data on how the fur on each dog is connected. However, you're curious about the overall connectivity of the fur network across all the dogs in the pack. You wonder if there's a way to use the "Edge Connectivity Analyzer" feature of the FurMaster 5000 to calculate the edge connectivity of the entire pack, helping you ensure that every dog looks perfectly groomed and well-connected from fur tip to fur tip.
### Response:
from igraph import Graph

g = Graph.Erdos_Renyi(n=10, m=20, directed=True)
edge_conn = g.edge_connectivity()

print('Edge connectivity of the graph:', edge_conn)
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