code: def testValidateArgsDisabled(self):
      action_spec = {"blah": ()}
      time_step_spec = ts.time_step_spec(observation_spec=None)
      policy = TfPassThroughPolicy(
          time_step_spec, action_spec, validate_args=False, clip=False
      )
      observation = (
          tf.constant(1, shape=(1,), dtype=tf.float32),
          tf.constant(1, shape=(1,), dtype=tf.float32),
          tf.constant(1, shape=(1,), dtype=tf.int32),
          tf.constant(1, shape=(1,), dtype=tf.int32),
      )
      time_step = ts.restart(observation)
  
      action = self.evaluate(policy.action(time_step).action)
      self.assertAllEqual([[1], [1], [1], [1]], action)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from typing import cast
  from absl.testing import parameterized
  import numpy
  import tensorflow
  import tensorflow_probability
  from tf_agents.policies import tf_policy
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import policy_step
  from tf_agents.trajectories import time_step
  from tf_agents.utils import common
  from tf_agents.utils import test_utils
label_desc: Use image node_id 4 for calling the TfPolicyTest obj's underlying member method code with example usage: obj.testValidateArgsDisabled() without return types