code: def testEquality(self, bijector_name, data):
      bijector_1, bijector_2 = data.draw(
          bijectors(
              bijector_name=bijector_name,
              enable_vars=True,
              return_duplicate=True,
          )
      )
      self.assertEqual(bijector_1, bijector_2)
      self.assertFalse(bijector_1 != bijector_2)
  
imports: import collections
  import functools
  from absl.testing import parameterized
  import hypothesis
  from hypothesis import strategies
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python import bijectors
  from tensorflow_probability.python import util
  from tensorflow_probability.python.bijectors import hypothesis_testlib
  from tensorflow_probability.python.bijectors import invert
  from tensorflow_probability.python.internal import auto_composite_tensor
  from tensorflow_probability.python.internal import hypothesis_testlib
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.internal import tensor_util
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
  from tensorflow.python.util import nest
label_desc: Use image node_id 8 for calling the BijectorPropertiesTest obj's underlying member method code with example usage: obj.testEquality(bijector_name, data) without return types