old_contents: import unittest
  
  import scipy.sparse
  
  import cupy.sparse
  from cupy import testing
  
  
  class DummySparseCPU(scipy.sparse.spmatrix):
  
      def __init__(self, maxprint=50, shape=None, nnz=0):
          super(DummySparseCPU, self).__init__(maxprint)
          self._shape = shape
          self._nnz = nnz
  
      def getnnz(self):
          return self._nnz
  
  
  class DummySparseGPU(cupy.sparse.spmatrix):
  
      def __init__(self, maxprint=50, shape=None, nnz=0):
          super(DummySparseGPU, self).__init__(maxprint)
          self._shape = shape
          self._nnz = nnz
  
      def get_shape(self):
          return self._shape
  
      def getnnz(self):
          return self._nnz
  
  
  dummies = {
      scipy.sparse: DummySparseCPU,
      cupy.sparse: DummySparseGPU,
  }
  
  
  class TestSpmatrix(unittest.TestCase):
  
      @testing.numpy_cupy_raises(sp_name='sp', accept_error=ValueError)
      def test_instantiation(self, xp, sp):
          sp.spmatrix()
  
      @testing.numpy_cupy_raises(sp_name='sp', accept_error=TypeError)
      def test_len(self, xp, sp):
          s = dummies[sp]()
          len(s)
  
      @testing.numpy_cupy_equal(sp_name='sp')
      def test_bool_true(self, xp, sp):
          s = dummies[sp](shape=(1, 1), nnz=1)
          return bool(s)
  
      @testing.numpy_cupy_equal(sp_name='sp')
      def test_bool_false(self, xp, sp):
          s = dummies[sp](shape=(1, 1), nnz=0)
          return bool(s)
  
      @testing.numpy_cupy_raises(sp_name='sp', accept_error=ValueError)
      def test_bool_true(self, xp, sp):
          s = dummies[sp](shape=(2, 1))
          bool(s)
  
      @testing.numpy_cupy_equal(sp_name='sp')
      def test_asformat_none(self, xp, sp):
          s = dummies[sp]()
          self.assertIs(s.asformat(None), s)
  
      @testing.numpy_cupy_equal(sp_name='sp')
      def test_maxprint(self, xp, sp):
          s = dummies[sp](maxprint=30)
          return s.getmaxprint()
  
new_contents: import unittest
  
  import scipy.sparse
  
  import cupy.sparse
  from cupy import testing
  
  
  class DummySparseCPU(scipy.sparse.spmatrix):
  
      def __init__(self, maxprint=50, shape=None, nnz=0):
          super(DummySparseCPU, self).__init__(maxprint)
          self._shape = shape
          self._nnz = nnz
  
      def getnnz(self):
          return self._nnz
  
  
  class DummySparseGPU(cupy.sparse.spmatrix):
  
      def __init__(self, maxprint=50, shape=None, nnz=0):
          super(DummySparseGPU, self).__init__(maxprint)
          self._shape = shape
          self._nnz = nnz
  
      def get_shape(self):
          return self._shape
  
      def getnnz(self):
          return self._nnz
  
  
  dummies = {
      scipy.sparse: DummySparseCPU,
      cupy.sparse: DummySparseGPU,
  }
  
  
  class TestSpmatrix(unittest.TestCase):
  
      @testing.numpy_cupy_raises(sp_name='sp', accept_error=ValueError)
      def test_instantiation(self, xp, sp):
          sp.spmatrix()
  
      @testing.numpy_cupy_raises(sp_name='sp', accept_error=TypeError)
      def test_len(self, xp, sp):
          s = dummies[sp]()
          len(s)
  
      @testing.numpy_cupy_equal(sp_name='sp')
      def test_bool_true(self, xp, sp):
          s = dummies[sp](shape=(1, 1), nnz=1)
          return bool(s)
  
      @testing.numpy_cupy_equal(sp_name='sp')
      def test_bool_false(self, xp, sp):
          s = dummies[sp](shape=(1, 1), nnz=0)
          return bool(s)
  
      @testing.numpy_cupy_raises(sp_name='sp', accept_error=ValueError)
      def test_bool_invalid(self, xp, sp):
          s = dummies[sp](shape=(2, 1))
          bool(s)
  
      @testing.numpy_cupy_equal(sp_name='sp')
      def test_asformat_none(self, xp, sp):
          s = dummies[sp]()
          self.assertIs(s.asformat(None), s)
  
      @testing.numpy_cupy_equal(sp_name='sp')
      def test_maxprint(self, xp, sp):
          s = dummies[sp](maxprint=30)
          return s.getmaxprint()
  
subject: Rename test