code: def testName(self):
      e = exp.Exp()
      sp = softplus.Softplus()
      aff = scale_matvec_diag.ScaleMatvecDiag(
          scale_diag=[2.0, 3.0, 4.0]
      )
      bijector = blockwise.Blockwise(
          bijectors=[e, sp, aff], block_sizes=[2, 1, 3]
      )
      self.assertStartsWith(
          bijector.name,
          "blockwise_of_exp_and_softplus_and_scale_matvec_diag",
      )
  
imports: from absl.testing import parameterized
  import mock
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector_test_util
  from tensorflow_probability.python.bijectors import blockwise
  from tensorflow_probability.python.bijectors import exp
  from tensorflow_probability.python.bijectors import inline
  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.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 5 for calling the BlockwiseBijectorTest obj's underlying member method code with example usage: obj.testName() without return types