code: def test_one_element_batch(self):
      input_matrix = np.squeeze(self.powers[0, :, :])
      input_matrix = input_matrix[np.newaxis, :, :].astype(float)
      signal = constant_op.constant(input_matrix, dtype=dtypes.float32)
      reconstruction = reconstruction_ops.overlap_and_add(
          signal, self.frame_hop
      )
  
      output = self.evaluate(reconstruction)
  
      string_output = [
          np.base_repr(int(x), self.bases[0])
          for x in np.squeeze(output)
      ]
  
      self.assertEqual(output.shape, (1, 9))
      self.assertEqual(string_output, self.expected_string)
  
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 9 for calling the ReconstructionOpsTest obj's underlying member method code with example usage: obj.test_one_element_batch() without return types