class_docstr: Mock policy takes actions 1 and 2, alternating.
class_docstr_tok: ["Mock","policy","takes","actions","1","and","2",",","alternating","."]
code: def __init__(
      self,
      time_step_spec,
      action_spec,
      batch_size=1,
      policy_state_spec_name="policy_state_spec",
      policy_state_name="policy_state",
      initial_policy_state=None,
  ):
      batch_shape = (batch_size,)
      self._batch_shape = batch_shape
      minimum = np.asarray(1, dtype=np.int32)
      maximum = np.asarray(2, dtype=np.int32)
      self._maximum = maximum
      policy_state_spec = specs.BoundedTensorSpec(
          (),
          tf.int32,
          minimum=minimum,
          maximum=maximum,
          name=policy_state_spec_name,
      )
      info_spec = action_spec
      self._policy_state = common.create_variable(
          name=policy_state_name,
          initial_value=maximum,
          shape=batch_shape,
          dtype=tf.int32,
      )
      if initial_policy_state is None:
          self._initial_policy_state = tf.fill(
              [batch_size], tf.constant(0, tf.int32)
          )
      else:
          self._initial_policy_state = initial_policy_state
  
      super(TFPolicyMock, self).__init__(
          time_step_spec, action_spec, policy_state_spec, info_spec
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from typing import Any
  import numpy
  import tensorflow
  from tf_agents import specs
  from tf_agents.environments import py_environment
  from tf_agents.policies import py_policy
  from tf_agents.policies import tf_policy
  from tf_agents.replay_buffers import tf_uniform_replay_buffer
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import policy_step
  from tf_agents.trajectories import time_step
  from tf_agents.trajectories import trajectory
  from tf_agents.utils import common
label_desc: Use image node_id 1 to create a new TFPolicyMock object from inherited base classes: tf_policy with example: obj = TFPolicyMock(time_step_spec, action_spec, batch_size, policy_state_spec_name, policy_state_name, initial_policy_state)