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#!/usr/bin/env python

import numpy as np

from numpy.linalg import eigvals

def run_experiment(niter=100):

K = 100

results = []

for _ in xrange(niter):

mat = np.random.randn(K, K)

max_eigenvalue = np.abs(eigvals(mat)).max()

results.append(max_eigenvalue)

return results

some_results = run_experiment()

print('Largest one we saw: %s' % np.max(some_results))