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import numpy as np
import networkx as nx
from data_generate import generate_random_MVN_data
from CSCS import CSCS
if __name__ == '__main__':
np.random.seed(3689)
print('Generating random data ... ')
Y = generate_random_MVN_data()
print('Done!')
print('Fitting CSCS ...')
cscs = CSCS(Y = Y,l = 1)
L,A,G = cscs.fit()
print('Done!')
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