<｜begin▁of▁sentence｜>### Instruction:
As an Energy Auditor, you have been tasked with optimizing the energy usage and efficiency of a growing network of 100 buildings. The goal is to add 3 new energy-efficient technologies to each new building that is added to the network. To achieve this, you are looking to use the `Growing_Random` function in the networkx library to create a non-directed growing random graph, allowing you to specify a random seed for reproducibility. This will enable you to accurately track the addition of new technologies to each building and assess their impact on the overall network's energy efficiency.
### Response:
import igraph as ig

# Parameters for the Growing Random graph
n = 100          # Number of vertices in the graph
m = 3            # Number of edges added at each step
seed = 42        # Random seed for reproducibility
directed = False # Whether the graph will be directed

g = ig.Graph.Growing_Random(n, m, directed, seed)

print(g.summary())
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