code: def test_parameter_reuse(self):
      def block(x: jax.Array) -> jax.Array:
          h = basic.Linear(output_size=x.shape[-1], with_bias=False)(x)
          h = jax.nn.relu(h)
          return h
  
      class MLP(basic.hk.Module):
          def __call__(self, x):
              return layer_stack.layer_stack(5)(block)(x)
  
      def f(x):
          mlp = MLP()
          return mlp(mlp(x))
  
      x = jnp.ones((2, 2))
      params = transform.transform(f).init(jax.random.PRNGKey(0), x)
  
      param_size = utils.tree_size(params)
      # 5 layers * (2 * 2 weights) = 20.
      np.testing.assert_equal(param_size, 20)
  
imports: import functools
  import re
  from typing import Optional
  from absl.testing import absltest
  from absl.testing import parameterized
  from haiku._src import base
  from haiku._src import basic
  from haiku._src import config
  from haiku._src import initializers
  from haiku._src import layer_stack
  from haiku._src import module
  from haiku._src import multi_transform
  from haiku._src import transform
  from haiku._src import utils
  import jax
  import jax.numpy
  import numpy
  from scipy import stats
label_desc: Use image node_id 17 for calling the LayerStackTest obj's underlying member method code with example usage: obj.test_parameter_reuse() and returns: h, mlp, layer_stack