code: def test_ppf(self):
      #'\nsquare of standard normal random variable is chisquare with dof=1 distributed'
      ppftr = self.dist.ppf(ppfq, *self.trargs, **self.trkwds)
      ppfst = self.statsdist.ppf(ppfq, *self.stargs, **self.stkwds)
      assert_almost_equal(ppfst, ppftr, 13)
  
imports: import numpy
  from numpy.testing import assert_almost_equal
  from scipy import stats
  from statsmodels.sandbox.distributions.extras import ExpTransf_gen, LogTransf_gen, squarenormalg, absnormalg, negsquarenormalg, squaretg
label_desc: Use image node_id 3 for calling the CheckDistEquivalence obj's underlying member method code with example usage: obj.test_ppf() without return types