code: def apply_and_sample_n(
      key: networks_lib.PRNGKey,
      networks: CQLNetworks,
      params: networks_lib.Params,
      obs: jnp.ndarray,
      num_samples: int,
  ) -> Tuple[jnp.ndarray, jnp.ndarray]:
      """Applies the policy and samples num_samples actions."""
      dist_params = networks.policy_network.apply(params, obs)
      sampled_actions = jnp.array(
          [
              networks.sample(dist_params, key_n)
              for key_n in jax.random.split(key, num_samples)
          ]
      )
      sampled_log_probs = networks.log_prob(
          dist_params, sampled_actions
      )
      return sampled_actions, sampled_log_probs
  
file_path: acme/acme/agents/jax/cql/networks.py
imports: import dataclasses
  from typing import Optional, Tuple
  from acme import specs
  from acme.agents.jax import sac
  from acme.jax import networks
  import jax
  import jax.numpy
label_desc: Use image node_id 1 for calling a global function with example usage: apply_and_sample_n(key, networks, params, obs, num_samples) and returns: sampled_actions,  sampled_log_probs