old_contents: import unittest
  
  import numpy
  
  from chainer import cuda
  from chainer.utils import array
  from chainer.testing import attr
  
  
  class TestFullLike(unittest.TestCase):
  
      def test_full_like_cpu(self):
          x = numpy.array([1, 2], numpy.float32)
          y = array.full_like(x, 3)
          self.assertIsInstance(y, numpy.ndarray)
          self.assertEqual(y.shape, (2,))
          self.assertEqual(y[0], 3)
          self.assertEqual(y[1], 3)
  
      @attr.gpu
      def test_full_like_gpu(self):
          x = cuda.cupy.array([1, 2], numpy.float32)
          y = array.full_like(x, 3)
          self.assertIsInstance(y, cuda.cupy.ndarray)
          y = cuda.to_cpu(y)
          self.assertEqual(y.shape, (2,))
          self.assertEqual(y[0], 3)
          self.assertEqual(y[1], 3)
  
new_contents: import unittest
  
  import numpy
  
  from chainer import cuda
  from chainer.testing import attr
  from chainer.utils import array
  
  
  class TestFullLike(unittest.TestCase):
  
      def test_full_like_cpu(self):
          x = numpy.array([1, 2], numpy.float32)
          y = array.full_like(x, 3)
          self.assertIsInstance(y, numpy.ndarray)
          self.assertEqual(y.shape, (2,))
          self.assertEqual(y[0], 3)
          self.assertEqual(y[1], 3)
  
      @attr.gpu
      def test_full_like_gpu(self):
          x = cuda.cupy.array([1, 2], numpy.float32)
          y = array.full_like(x, 3)
          self.assertIsInstance(y, cuda.cupy.ndarray)
          y = cuda.to_cpu(y)
          self.assertEqual(y.shape, (2,))
          self.assertEqual(y[0], 3)
          self.assertEqual(y[1], 3)
  
subject: Fix import order