code: def _num_actions(self, accepts_per_arm_features: bool):
      action_spec = (
          self._per_arm_action_spec
          if accepts_per_arm_features
          else self._action_spec
      )
      return action_spec.maximum - action_spec.minimum + 1
  
imports: from typing import Optional
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tf_agents.bandits.agents import neural_falcon_agent
  from tf_agents.bandits.networks import global_and_arm_feature_network
  from tf_agents.bandits.specs import utils
  from tf_agents.networks import network
  from tf_agents.policies import utils
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.trajectories import trajectory
  from tf_agents.typing import types
label_desc: Use image node_id 2 for calling the NeuralFalconAgentTest obj's underlying member method code with example usage: obj._num_actions(accepts_per_arm_features) and returns: unknown