code: def _get_proximity_to_anchor(self, action, anchor_point, dist):
      delta = tf.cast(action, tf.float32) - anchor_point
      logging.info(
          "Test q_func \nanchor: %s, dist: %s", anchor_point, dist
      )
      if dist == DIST_L1:
          val = -tf.abs(delta)
      elif dist == DIST_BIMODAL:
          val = tfp.distributions.Normal(0.0, VAR_ANCHOR_PT).prob(
              delta
          ) + tfp.distributions.Normal(0.0, VAR_LOCAL_MAX).prob(
              action - LOCAL_MAX_BIMODAL
          )
      else:
          raise ValueError(
              "Unknown distance option for Q-function definition."
          )
      return val
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl import flags
  from absl import logging
  from absl.testing import parameterized
  import numpy
  import tensorflow
  import tensorflow_probability
  from tf_agents.networks import network
  from tf_agents.policies import qtopt_cem_policy
  from tf_agents.policies.samplers import qtopt_cem_actions_sampler_continuous
  from tf_agents.policies.samplers import qtopt_cem_actions_sampler_continuous_and_one_hot
  from tf_agents.policies.samplers import qtopt_cem_actions_sampler_hybrid
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
label_desc: Use image node_id 3 for calling the DummyNet obj's underlying member method code with example usage: obj._get_proximity_to_anchor(action, anchor_point, dist) and returns: val