code: def _draw_codomain_tensor(
      self, bijector, data, event_dim, sample_shape=()
  ):
      return self._draw_domain_tensor(
          tfb.Invert(bijector),
          data=data,
          event_dim=event_dim,
          sample_shape=sample_shape,
      )
  
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 3 for calling the BijectorPropertiesTest obj's underlying member method code with example usage: obj._draw_codomain_tensor(bijector, data, event_dim, sample_shape) and returns: self