code: def testSumAndCount(self):
      def reduce_fn(state, value):
          s, c = state
          return s + value, c + 1
  
      for i in range(10):
          ds = dataset_ops.Dataset.range(1, i + 1)
          result = ds.reduce(
              (
                  constant_op.constant(0, dtype=dtypes.int64),
                  constant_op.constant(0, dtype=dtypes.int64),
              ),
              reduce_fn,
          )
          s, c = self.evaluate(result)
          self.assertEqual(((i + 1) * i) // 2, s)
          self.assertEqual(i, c)
  
imports: import time
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.experimental.ops import testing
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the ReduceTest obj's underlying member method code with example usage: obj.testSumAndCount() and returns: unknown,  unknown