code: def test_reduce_batch_count(
      self,
      x,
      input_signature,
      expected_result,
      reduce_instance_dims,
      function_handler,
  ):
      @function_handler(input_signature=input_signature)
      def _reduce_batch_count(x):
          result = tf_utils.reduce_batch_count(
              x, reduce_instance_dims=reduce_instance_dims
          )
          # Verify that the output shape is maintained.
          # TODO(b/178189903): This will fail if _dense_shape_default isn't set in
          # reduce_batch_count.
          if (
              not isinstance(x, tf.RaggedTensor)
              and not reduce_instance_dims
              and x.get_shape().ndims
          ):
              self.assertEqual(
                  x.get_shape()[1:].as_list(),
                  result.get_shape().as_list(),
              )
          return result
  
      result = _reduce_batch_count(x)
      self.assertAllEqual(result, expected_result)
  
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 15 for calling the TFUtilsTest obj's underlying member method code with example usage: obj.test_reduce_batch_count(x, input_signature, expected_result, reduce_instance_dims, function_handler) and returns: result