code: def _toy():
      uniq = np.r_[4, 9, 16]
      load = np.asarray([[3, 1, 2], [2, 5, 8]]).T
      par = np.r_[2, 3, 4, 3, 1, 2, 2, 5, 8]
      corr = np.asarray([[1, 0.5, 0.25], [0.5, 1, 0.5], [0.25, 0.5, 1]])
      return uniq, load, corr, par
  
file_path: statsmodels/statsmodels/multivariate/tests/test_ml_factor.py
imports: import numpy
  from statsmodels.multivariate.factor import Factor
  from numpy.testing import assert_allclose, assert_equal
  from scipy.optimize import approx_fprime
  import warnings
label_desc: Use image node_id 1 for calling a global function with example usage: _toy() and returns: uniq,  load,  corr,  par