class_docstr: Tests the correctness of the Y = Chain(bij1, bij2, bij3) transformation.
code: def testScalarCongruency(self):
      bijector = chain.Chain((exp.Exp(), softplus.Softplus()))
      bijector_test_util.assert_scalar_congruency(
          bijector,
          lower_x=1e-3,
          upper_x=1.5,
          rtol=0.05,
          eval_func=self.evaluate,
      )
  
imports: import mock
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector
  from tensorflow_probability.python.bijectors import bijector_test_util
  from tensorflow_probability.python.bijectors import chain
  from tensorflow_probability.python.bijectors import exp
  from tensorflow_probability.python.bijectors import identity
  from tensorflow_probability.python.bijectors import inline
  from tensorflow_probability.python.bijectors import invert
  from tensorflow_probability.python.bijectors import joint_map
  from tensorflow_probability.python.bijectors import restructure
  from tensorflow_probability.python.bijectors import scale
  from tensorflow_probability.python.bijectors import scale_matvec_diag
  from tensorflow_probability.python.bijectors import softmax_centered
  from tensorflow_probability.python.bijectors import softplus
  from tensorflow_probability.python.bijectors import split
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 4 for calling the ChainBijectorTest obj's underlying member method code with example usage: obj.testScalarCongruency() without return types