code: def test_loglike():
      uniq, load, corr, par = _toy()
      fa = Factor(n_factor=2, corr=corr)
  
      # Two ways of passing the parameters to loglike
      ll1 = fa.loglike((load, uniq))
      ll2 = fa.loglike(par)
  
      assert_allclose(ll1, ll2)
  
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 2 for calling a global function with example usage: test_loglike() without return types