code: def test_reduce_batch_count_l_moments(
      self,
      x,
      input_signature,
      expected_counts,
      expected_moments,
      reduce_instance_dims,
      function_handler,
  ):
      @function_handler(input_signature=input_signature)
      def _reduce_batch_count_l_moments(x):
          result = tf_utils.reduce_batch_count_l_moments(
              x, reduce_instance_dims=reduce_instance_dims
          )
          for tensor in result:
              if not reduce_instance_dims and x.get_shape().ndims:
                  self.assertEqual(
                      x.get_shape()[1:].as_list(),
                      tensor.get_shape().as_list(),
                  )
          return result
  
      count_and_moments = _reduce_batch_count_l_moments(x)
      counts = count_and_moments[0::2]
      moments = count_and_moments[1::2]
      for i in range(0, 4):
          self.assertEqual(counts[i].dtype, expected_counts[i].dtype)
          self.assertAllClose(counts[i], expected_counts[i], rtol=1e-8)
          self.assertEqual(moments[i].dtype, expected_moments[i].dtype)
          self.assertAllClose(
              moments[i], expected_moments[i], rtol=1e-8
          )
  
imports: import os
  import numpy
  from packaging import version
  import tensorflow
  from tensorflow_transform import analyzers
  from tensorflow_transform import annotators
  from tensorflow_transform import tf_utils
  from tensorflow_transform import test_case
  from tensorflow.python.framework import composite_tensor
label_desc: Use image node_id 18 for calling the TFUtilsTest obj's underlying member method code with example usage: obj.test_reduce_batch_count_l_moments(x, input_signature, expected_counts, expected_moments, reduce_instance_dims, function_handler) and returns: result