def test_view_mixin_copies_data(adata, array_type: type, attr):
    N = 100
    adata = ad.AnnData(
        obs=pd.DataFrame(index=np.arange(N)), var=pd.DataFrame(index=np.arange(N))
    )

    X = array_type(sparse.eye(N, N).multiply(np.arange(1, N + 1)))
    if attr == "X":
        adata.X = X
    else:
        getattr(adata, attr)["arr"] = X

    view = adata[:50]

    if attr == "X":
        arr_view = view.X
    else:
        arr_view = getattr(view, attr)["arr"]

    arr_view_copy = arr_view.copy()

    if sparse.issparse(X):
        assert not np.shares_memory(arr_view.indices, arr_view_copy.indices)
        assert not np.shares_memory(arr_view.indptr, arr_view_copy.indptr)
        assert not np.shares_memory(arr_view.data, arr_view_copy.data)

        arr_view_copy.data[0] = -5
        assert not np.array_equal(arr_view_copy.data, arr_view.data)
    else:
        assert not np.shares_memory(arr_view, arr_view_copy)

        arr_view_copy[0, 0] = -5
        assert not np.array_equal(arr_view_copy, arr_view)
def test(self):
        # a Structure with a POINTER field
        class S(Structure):
            _fields_ = [("array", POINTER(c_int))]

        s = S()
        # We can assign arrays of the correct type
        s.array = (c_int * 3)(1, 2, 3)
        items = [s.array[i] for i in range(3)]
        self.assertEqual(items, [1, 2, 3])

        # The following are bugs, but are included here because the unittests
        # also describe the current behaviour.
        #
        # This fails with SystemError: bad arg to internal function
        # or with IndexError (with a patch I have)

        s.array[0] = 42

        items = [s.array[i] for i in range(3)]
        self.assertEqual(items, [42, 2, 3])

        s.array[0] = 1