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_ccode_Indexed():
    from sympy.tensor import IndexedBase, Idx
    from sympy import symbols
    n, m, o = symbols('n m o', integer=True)
    i, j, k = Idx('i', n), Idx('j', m), Idx('k', o)
    p = CCodePrinter()
    p._not_c = set()

    x = IndexedBase('x')[j]
    assert p._print_Indexed(x) == 'x[j]'
    A = IndexedBase('A')[i, j]
    assert p._print_Indexed(A) == 'A[%s]' % (m*i+j)
    B = IndexedBase('B')[i, j, k]
    assert p._print_Indexed(B) == 'B[%s]' % (i*o*m+j*o+k)

    assert p._not_c == set()