<｜begin▁of▁sentence｜>### Instruction:
Using the forest fire model in igraph, can you generate an undirected graph with 100 vertices, a forward burning probability of 0.4, a backward burning probability which is half of the forward burning probability, and with each new vertex choosing 1 ambassador? Once generated, print the summary of the new graph.
### Response:
import igraph as ig

# Parameters for the Forest Fire model
n = 100  # Number of vertices in the graph
fw_prob = 0.4  # Forward burning probability
bw_factor = 0.5  # Ratio of backward and forward burning probability
ambs = 1  # Number of ambassadors chosen in each step
directed = False  # Whether the graph will be directed

# Generate the graph
forest_fire_graph = ig.Graph.Forest_Fire(n, fw_prob=fw_prob, bw_factor=bw_factor, ambs=ambs, directed=directed)

# Print the summary of the graph
g_summary = forest_fire_graph.summary()
print(g_summary)
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