code: def test_simple(self, frame_length, expected, frame_hop):
      def make_input(frame_length, num_frames=3):
          """Generate a tensor of num_frames frames of frame_length."""
          return np.reshape(
              np.arange(1, num_frames * frame_length + 1),
              (-1, frame_length),
          )
  
      signal = make_input(frame_length)
      reconstruction = reconstruction_ops.overlap_and_add(
          np.array(signal), frame_hop
      )
      expected_output = np.array(expected)
      self.assertAllClose(reconstruction, expected_output)
  
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 6 for calling the ReconstructionOpsTest obj's underlying member method code with example usage: obj.test_simple(frame_length, expected, frame_hop) and returns: np