class_docstr: Tests correctness of the Y = scale @ x transformation.
class_docstr_tok: ["Tests","correctness","of","the","Y","=","scale","@","x","transformation","."]
code: def testName(self):
      # scale corresponds to 1.
      bijector = scale_lib.Scale(scale=-1.0)
      self.assertStartsWith(bijector.name, "scale")
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector_test_util
  from tensorflow_probability.python.bijectors import scale
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 1 for calling the ScaleBijectorTest obj's underlying member method code with example usage: obj.testName() without return types