def test_deepcopy_subset(adata, spmat: type):
    adata.obsp["arr"] = np.zeros((adata.n_obs, adata.n_obs))
    adata.obsp["spmat"] = spmat((adata.n_obs, adata.n_obs))

    adata = deepcopy(adata[:10].copy())

    assert isinstance(adata.obsp["arr"], np.ndarray)
    assert not isinstance(adata.obsp["arr"], ArrayView)
    np.testing.assert_array_equal(adata.obsp["arr"].shape, (10, 10))

    assert isinstance(adata.obsp["spmat"], spmat)
    assert not isinstance(
        adata.obsp["spmat"],
        SparseCSRView if spmat is sparse.csr_matrix else SparseCSCView,
    )
    np.testing.assert_array_equal(adata.obsp["spmat"].shape, (10, 10))
def test_rule_300(self):
        oRule = iteration_scheme.rule_300()
        self.assertTrue(oRule)
        self.assertEqual(oRule.name, 'iteration_scheme')
        self.assertEqual(oRule.identifier, '300')

        lExpected = [13, 17]

        oRule.analyze(self.oFile)
        self.assertEqual(lExpected, utils.extract_violation_lines_from_violation_object(oRule.violations))