code: def rand_mat_stat(t):
      n = 5
      v = np.empty(t)
      w = np.empty(t)
      for i in range(t):
          a = randn(n, n)
          b = randn(n, n)
          c = randn(n, n)
          d = randn(n, n)
          P = concatenate((a, b, c, d), axis=1)
          Q = concatenate(
              (
                  concatenate((a, b), axis=1),
                  concatenate((c, d), axis=1),
              ),
              axis=0,
          )
          #        v[i] = trace(matrix_power(P.T @ P, 4))
          #        w[i] = trace(matrix_power(Q.T @ Q, 4))
          v[i] = trace(matrix_power(dot(P.T, P), 4))
          w[i] = trace(matrix_power(dot(Q.T, Q), 4))
      return np.std(v) / np.mean(v), np.std(w) / np.mean(w)
  
imports: import numpy
  from numpy import trace, concatenate, dot
  from numpy.random import randn
  from numpy.linalg import matrix_power
label_desc: Use image node_id 1 for calling a global function with example usage: rand_mat_stat(t) and returns: unknown,  unknown