code: def test_all_ones(self):
      signal = array_ops.ones([3, 5])
      reconstruction = reconstruction_ops.overlap_and_add(signal, 2)
      self.assertEqual(reconstruction.shape.as_list(), [9])
      expected_output = np.array([1, 1, 2, 2, 3, 2, 2, 1, 1])
      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 2 for calling the ReconstructionOpsTest obj's underlying member method code with example usage: obj.test_all_ones() without return types