<｜begin▁of▁sentence｜>### Instruction:
Given a desired number of vertices (`number_of_nodes`) and a probability (`probability_of_edge_creation`) for creating each possible edge independently, can you generate an undirected graph without self-loops based on the Erdős-Rényi model? The graph should not be directed, and it should be ensured that self-loops are not allowed. Print the list of edges of the resulting graph.
### Response:
import networkx as nx

# Parameters
number_of_nodes = 10
probability_of_edge_creation = 0.5
is_directed = False
allow_self_loops = False

# Generate an Erdős-Rényi graph
g = nx.erdos_renyi_graph(n=number_of_nodes, p=probability_of_edge_creation, directed=is_directed, loops=allow_self_loops)

# Print the generated edges
print(g.edges())
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