code: def make_networks(
      spec: specs.EnvironmentSpec,
  ) -> networks_lib.FeedForwardNetwork:
      """Creates networks used by the agent.
  
      The model used by the ARS paper is a simple clipped linear model.
  
      Args:
        spec: an environment spec
  
      Returns:
        A FeedForwardNetwork network.
      """
  
      obs_size = spec.observations.shape[0]
      act_size = spec.actions.shape[0]
      return networks_lib.FeedForwardNetwork(
          init=lambda _: jnp.zeros((obs_size, act_size)),
          apply=lambda matrix, obs: jnp.clip(
              jnp.matmul(obs, matrix), -1, 1
          ),
      )
  
imports: from typing import Tuple
  from acme import specs
  from acme.jax import networks
  import jax.numpy
label_desc: Use image node_id 1 for calling a global function with example usage: make_networks(spec) and returns: networks_lib