class_docstr: Tests the Autoregressive distribution.
class_docstr_tok: ["Tests","the","Autoregressive","distribution","."]
code: def setUp(self):
      super(AutoregressiveTest, self).setUp()
      self._rng = np.random.RandomState(42)
  
imports: import warnings
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import masked_autoregressive
  from tensorflow_probability.python.bijectors import scale_matvec_tril
  from tensorflow_probability.python.distributions import autoregressive
  from tensorflow_probability.python.distributions import categorical
  from tensorflow_probability.python.distributions import distribution
  from tensorflow_probability.python.distributions import independent
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import sample
  from tensorflow_probability.python.distributions import transformed_distribution
  from tensorflow_probability.python.internal import reparameterization
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import linalg
label_desc: Use image node_id 1 for calling the AutoregressiveTest obj's underlying member method code with example usage: obj.setUp() without return types