code: def testComposeFromChainBijector(self):
      x = tf.constant([-5.0, 0.0, 5.0])
      sigmoid = functools.reduce(
          lambda chain, f: chain(f),
          [
              reciprocal.Reciprocal(),
              shift.Shift(shift=1.0),
              exp.Exp(),
              scale.Scale(scale=-1.0),
          ],
      )
      self.assertIsInstance(sigmoid, chain.Chain)
      self.assertAllClose(
          *self.evaluate([tf.math.sigmoid(x), sigmoid.forward(x)]),
          atol=0,
          rtol=1e-3,
      )
  
imports: import functools
  import tensorflow.compat.v2
  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 reciprocal
  from tensorflow_probability.python.bijectors import scale
  from tensorflow_probability.python.bijectors import shift
  from tensorflow_probability.python.distributions import chi
  from tensorflow_probability.python.distributions import independent
  from tensorflow_probability.python.distributions import lognormal
  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 test_util
label_desc: Use image node_id 1 for calling the BijectorCompositionTest obj's underlying member method code with example usage: obj.testComposeFromChainBijector() without return types