code: def _real_nvp_kwargs(self):
      return {
          "shift_and_log_scale_fn": lambda x, output_dims: (
              x[..., :output_dims],
              x[..., :output_dims],
          ),
          "is_constant_jacobian": False,
      }
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import inline
  from tensorflow_probability.python.bijectors import invert
  from tensorflow_probability.python.bijectors import real_nvp
  from tensorflow_probability.python.bijectors import scale
  from tensorflow_probability.python.bijectors import shift
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import sample
  from tensorflow_probability.python.distributions import transformed_distribution
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.internal import tf_keras
label_desc: Use image node_id 1 for calling the TrivialTransformTest obj's underlying member method code with example usage: obj._real_nvp_kwargs() and returns: dict