code: def test_batch(self):
      signal = constant_op.constant(self.powers, dtype=dtypes.int64)
      reconstruction = reconstruction_ops.overlap_and_add(
          signal, self.frame_hop
      )
  
      output = self.evaluate(reconstruction)
  
      accumulator = True
      for i in range(self.batch_size):
          string_output = [
              np.base_repr(x, self.bases[i]) for x in output[i, :]
          ]
          accumulator = accumulator and (
              string_output == self.expected_string
          )
  
      self.assertTrue(accumulator)
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.signal import reconstruction_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 8 for calling the ReconstructionOpsTest obj's underlying member method code with example usage: obj.test_batch() without return types