class_docstr: A simple environment that returns zeros for observations and rewards.
class_docstr_tok: ["A","simple","environment","that","returns","zeros","for","observations","and","rewards","."]
code: def _observe(self):
      observation_shape = [self.batch_size] + list(
          self.observation_spec().shape
      )
      return tf.zeros(observation_shape)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tf_agents.bandits.environments import bandit_tf_environment
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.utils import common
label_desc: Use image node_id 3 for calling the ZerosEnvironment obj's underlying member method code with example usage: obj._observe() and returns: tf