code: def gen_U_nips2016_example():
      n_C = 16
      U = np.zeros([n_C, n_C])
      U = np.eye(n_C) * 0.6
      U[8:12, 8:12] = 0.8
      for cond in range(8, 12):
          U[cond, cond] = 1
  
      return U
  
file_path: brainiak/tests/matnormal/test_matnormal_rsa.py
imports: from brainiak.matnormal.mnrsa import MNRSA
  from brainiak.utils.utils import cov2corr
  from brainiak.matnormal.covs import CovIdentity, CovDiagonal
  from scipy.stats import norm
  from brainiak.matnormal.utils import rmn
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: gen_U_nips2016_example() and returns: U