code: def test_setitem(self):
      # Single integer index.
      a = array_ops.array([1.0, 2.0, 3.0])
      b = array_ops.array(5.0)
      c = array_ops.array(10.0)
  
      tensors = [arr.data for arr in [a, b, c]]
      with tf.GradientTape() as g:
          g.watch(tensors)
          a[1] = b + c
          loss = array_ops.sum(a)
  
      gradients = g.gradient(loss.data, tensors)
      self.assertSequenceEqual(
          array_ops.array(gradients[0]).tolist(), [1.0, 0.0, 1.0]
      )
      self.assertEqual(array_ops.array(gradients[1]).tolist(), 1.0)
      self.assertEqual(array_ops.array(gradients[2]).tolist(), 1.0)
  
      # Tuple index.
      a = array_ops.array(
          [[[1.0, 2.0], [3.0, 4.0]], [[5.0, 6.0], [7.0, 8.0]]]
      )  # 2x2x2 array.
      b = array_ops.array([10.0, 11.0])
  
      tensors = [arr.data for arr in [a, b]]
      with tf.GradientTape() as g:
          g.watch(tensors)
          a[(1, 0)] = b
          loss = array_ops.sum(a)
  
      gradients = g.gradient(loss.data, tensors)
      self.assertSequenceEqual(
          array_ops.array(gradients[0]).tolist(),
          [[[1.0, 1.0], [1.0, 1.0]], [[0.0, 0.0], [1.0, 1.0]]],
      )
      self.assertEqual(
          array_ops.array(gradients[1]).tolist(), [1.0, 1.0]
      )
  
imports: import tensorflow.compat.v2
  from trax.tf_numpy.numpy_impl import array_ops
  from trax.tf_numpy.numpy_impl import math_ops
label_desc: Use image node_id 1 for calling the BackpropTest obj's underlying member method code with example usage: obj.test_setitem() without return types