import random

import numpy as np
from igraph import Graph

if __name__ == '__main__':
    for i in range(200):
        num_nodes = 100
        num_edges = 100000

        graph = Graph(num_nodes)

        edges = [
            random.choices(range(num_nodes), k=2)
            for _ in range(num_edges)
        ]

        # Create a new graph with the same edges
        attributes = {"test": np.arange(len(edges))}
        new_graph = Graph(edges=edges, edge_attrs={"test": np.arange(len(edges))})

        # Generate a union of the 2 graphs
        union_graph = graph.union(new_graph)