old_contents: import unittest
  
  import numpy
  
  import chainer
  from chainer import cuda
  from chainer import functions
  from chainer import gradient_check
  from chainer.testing import attr
  
  
  class TestGetItem(unittest.TestCase):
      in_shape = (10, 5)
      out_shape = (10,)
  
      def setUp(self):
          self.x_data = numpy.random.uniform(
              -1, 1, self.in_shape).astype(numpy.float32)
          self.t_data = numpy.random.randint(
              0, 2, self.out_shape).astype(numpy.int32)
          self.gy_data = numpy.random.uniform(
              -1, 1, self.out_shape).astype(numpy.float32)
  
      def check_forward(self, x_data, t_data):
          x = chainer.Variable(x_data)
          t = chainer.Variable(t_data)
          y = functions.getitem(x, t)
          y_exp = cuda.to_cpu(x_data)[range(t_data.size), cuda.to_cpu(t_data)]
  
          numpy.testing.assert_equal(cuda.to_cpu(y.data), y_exp)
  
      def test_forward_cpu(self):
          self.check_forward(self.x_data, self.t_data)
  
      @attr.gpu
      def test_forward_gpu(self):
          self.check_forward(cuda.to_gpu(self.x_data),
                             cuda.to_gpu(self.t_data))
  
      def check_backward(self, x_data, t_data, gy_data):
          x = chainer.Variable(x_data)
          t = chainer.Variable(t_data)
          y = functions.getitem(x, t)
          y.grad = gy_data
          y.backward()
          self.assertEqual(None, t.grad)
  
          func = y.creator
          f = lambda: func.forward((x.data, t.data))
          gx, = gradient_check.numerical_grad(f, (x.data,), (gy_data,), eps=0.01)
  
          gradient_check.assert_allclose(gx, x.grad)
  
      def test_backward_cpu(self):
          self.check_backward(self.x_data, self.t_data, self.gy_data)
  
      @attr.gpu
      def test_backward_gpu(self):
          self.check_backward(cuda.to_gpu(self.x_data),
                              cuda.to_gpu(self.t_data),
                              cuda.to_gpu(self.gy_data))
  
  
  class TestGetItemZeroSize(unittest.TestCase):
      in_shape = (0, 5)
      out_shape = (0,)
  
new_contents: import unittest
  
  import numpy
  
  import chainer
  from chainer import cuda
  from chainer import functions
  from chainer import gradient_check
  from chainer import testing
  from chainer.testing import attr
  
  
  class TestGetItem(unittest.TestCase):
      in_shape = (10, 5)
      out_shape = (10,)
  
      def setUp(self):
          self.x_data = numpy.random.uniform(
              -1, 1, self.in_shape).astype(numpy.float32)
          self.t_data = numpy.random.randint(
              0, 2, self.out_shape).astype(numpy.int32)
          self.gy_data = numpy.random.uniform(
              -1, 1, self.out_shape).astype(numpy.float32)
  
      def check_forward(self, x_data, t_data):
          x = chainer.Variable(x_data)
          t = chainer.Variable(t_data)
          y = functions.getitem(x, t)
          y_exp = cuda.to_cpu(x_data)[range(t_data.size), cuda.to_cpu(t_data)]
  
          numpy.testing.assert_equal(cuda.to_cpu(y.data), y_exp)
  
      def test_forward_cpu(self):
          self.check_forward(self.x_data, self.t_data)
  
      @attr.gpu
      def test_forward_gpu(self):
          self.check_forward(cuda.to_gpu(self.x_data),
                             cuda.to_gpu(self.t_data))
  
      def check_backward(self, x_data, t_data, gy_data):
          x = chainer.Variable(x_data)
          t = chainer.Variable(t_data)
          y = functions.getitem(x, t)
          y.grad = gy_data
          y.backward()
          self.assertEqual(None, t.grad)
  
          func = y.creator
          f = lambda: func.forward((x.data, t.data))
          gx, = gradient_check.numerical_grad(f, (x.data,), (gy_data,), eps=0.01)
  
          gradient_check.assert_allclose(gx, x.grad)
  
      def test_backward_cpu(self):
          self.check_backward(self.x_data, self.t_data, self.gy_data)
  
      @attr.gpu
      def test_backward_gpu(self):
          self.check_backward(cuda.to_gpu(self.x_data),
                              cuda.to_gpu(self.t_data),
                              cuda.to_gpu(self.gy_data))
  
  
  class TestGetItemZeroSize(unittest.TestCase):
      in_shape = (0, 5)
      out_shape = (0,)
  
  
  testing.run_module(__name__, __file__)
  
subject: Fix test code