code: def __init__(self):
      self.dist = LogTransf_gen(stats.gamma)
      self.trargs = (10,)
      self.trkwds = {}
      self.statsdist = stats.loggamma
      self.stargs = (10,)
      self.stkwds = {}
  
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 1 to create a new TestLoggamma_1 object from inherited base classes: CheckDistEquivalence with example: obj = TestLoggamma_1()