<｜begin▁of▁sentence｜>### Instruction:
Given a list of node fitnesses [0.2, 0.5, 0.8, 1.0, 0.3], can you generate a non-growing undirected graph using NetworkX where the probability of an edge between any two nodes is the product of their corresponding fitnesses? Visualize the resulting graph.
### Response:
import networkx as nx
import matplotlib.pyplot as plt

# Define the fitness for each node
fitnesses = [0.2, 0.5, 0.8, 1.0, 0.3]

# Create a graph where the edges are added with probabilities based on node fitnesses
G = nx.Graph()
G.add_nodes_from(range(len(fitnesses)))
for i in range(len(fitnesses)):
    for j in range(i+1, len(fitnesses)):
        if np.random.rand() < fitnesses[i] * fitnesses[j]:
            G.add_edge(i, j)

# Draw the graph
nx.draw(G, with_labels=True)
plt.show()
<|EOT|>
