code: def testShouldNotCenterMean(self):
      means_var, variance_var = self._tensor_normalizer.variables
      self.evaluate(
          [
              tf.compat.v1.assign(means_var, [10.0] * 3),
              tf.compat.v1.assign(variance_var, [0.01] * 3),
          ]
      )
      tensor = tf.constant([[9.0, 10.0, 11.0]])
      norm_obs = self._tensor_normalizer.normalize(
          tensor,
          center_mean=False,
          variance_epsilon=0.0,
          clip_value=0.0,
      )
      expected = [[90.0, 100.0, 110.0]]
      self.assertAllClose(expected, self.evaluate(norm_obs))
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import functools
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tf_agents.specs import tensor_spec
  from tf_agents.utils import tensor_normalizer
label_desc: Use image node_id 7 for calling the EMATensorNormalizerTest obj's underlying member method code with example usage: obj.testShouldNotCenterMean() without return types