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 _exit_with_failure(cls, terminal_msg):
        timestamp_msg = (
            f"timestamp: {cls._iso_timestamp_for_now()}\n"
            if cls._should_print_backtrace_to_terminal
            else ""
        )
        details_msg = (
            ""
            if cls._should_print_backtrace_to_terminal
            else "\n\n(Use --print-exception-stacktrace to see more error details.)"
        )
        terminal_msg = terminal_msg or "<no exit reason provided>"
        formatted_terminal_msg = cls._EXIT_FAILURE_TERMINAL_MESSAGE_FORMAT.format(
            timestamp_msg=timestamp_msg, terminal_msg=terminal_msg, details_msg=details_msg
        )
        # Exit with failure, printing a message to the terminal (or whatever the interactive stream is).
        cls._exiter.exit_and_fail(msg=formatted_terminal_msg, out=cls._interactive_output_stream)