code: def testSquareUsingPlaceholder(self):
      delta = array_ops.placeholder(dtype=dtypes.int64)
  
      def reduce_fn(state, _):
          return state + delta
  
      for i in range(10):
          ds = dataset_ops.Dataset.range(1, i + 1)
          result = ds.reduce(np.int64(0), reduce_fn)
          with self.cached_session() as sess:
              square = sess.run(result, feed_dict={delta: i})
              self.assertEqual(i * i, square)
  
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 4 for calling the ReduceTest obj's underlying member method code with example usage: obj.testSquareUsingPlaceholder() and returns: unknown