code: def test_transparent_lift_top_level(self):
      class MyModule(module.Module):
          def __call__(self, x):
              x += base.get_parameter(
                  "b", shape=[10, 10], init=jnp.zeros
              )
              return x
  
      @transform.transform
      def fn(x):
          def inner_fn(x):
              x = MyModule(name="top_level")(x)
              return MyModule(name="top_level")(x)
  
          inner_transformed = transform.transform(inner_fn)
          inner_params = lift.transparent_lift(inner_transformed.init)(
              None, x
          )
          return inner_transformed.apply(inner_params, None, x)
  
      correct_weight_names = ["top_level", "top_level_1"]
  
      params = fn.init(None, jnp.ones([10, 10]))
      self.assertCountEqual(list(params.keys()), correct_weight_names)
      fn.apply(params, None, jnp.ones([10, 10]))
  
imports: from absl.testing import absltest
  from absl.testing import parameterized
  from haiku._src import base
  from haiku._src import config
  from haiku._src import lift
  from haiku._src import module
  from haiku._src import multi_transform
  from haiku._src import stateful
  from haiku._src import test_utils
  from haiku._src import transform
  import jax
  import jax.numpy
  import numpy
label_desc: Use image node_id 17 for calling the LiftTest obj's underlying member method code with example usage: obj.test_transparent_lift_top_level() and returns: inner_transformed, x, MyModule