class_docstr: Tests the correctness of the Y = JointMap({nested}) transformation.
code: def assertShapeIs(self, expect_shape, observed):
      self.assertEqual(expect_shape, np.asarray(observed))
  
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector_test_util
  from tensorflow_probability.python.bijectors import exp
  from tensorflow_probability.python.bijectors import invert
  from tensorflow_probability.python.bijectors import joint_map
  from tensorflow_probability.python.bijectors import ldj_ratio
  from tensorflow_probability.python.bijectors import reshape
  from tensorflow_probability.python.bijectors import scale
  from tensorflow_probability.python.bijectors import shift
  from tensorflow_probability.python.bijectors import softplus
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 1 for calling the JointMapBijectorTest obj's underlying member method code with example usage: obj.assertShapeIs(expect_shape, observed) without return types