import networkx as nx
import scipy.io
import numpy as np

graphs = []
indexes = [(3,4)]
for tupp in indexes:
        graphs.append(nx.grid_2d_graph(tupp[0], tupp[1]))


for g in range(len(indexes)):
    curr_graph = nx.to_numpy_array(graphs[g])
    curr_graph_att = np.ones((len(curr_graph), 60))
    scipy.io.savemat('produced_graphs/testgraph_{}_{}__.txt.mat'.format(indexes[g][0], indexes[g][1], g), {'data': curr_graph})
    scipy.io.savemat('produced_graphs/testgraph_{}_{}__.usr.mat'.format(indexes[g][0], indexes[g][1], g), {'attributes': curr_graph_att})

print(graphs)