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 __init__(
        self,
        base,
        filename="",
        data=None,
        ignore_extras=False,
        ignore_installed=False,
        skip_unavailable=False
    ):
        """
        :param base: the dnf base
        :param filename: the filename to load the transaction from (conflicts with the 'data' argument)
        :param data: the dictionary to load the transaction from (conflicts with the 'filename' argument)
        :param ignore_extras: whether to ignore extra package pulled into the transaction
        :param ignore_installed: whether to ignore installed versions of packages
        :param skip_unavailable: whether to skip transaction packages that aren't available
        """

        self._base = base
        self._filename = filename
        self._ignore_installed = ignore_installed
        self._ignore_extras = ignore_extras
        self._skip_unavailable = skip_unavailable

        if not self._base.conf.strict:
            self._skip_unavailable = True

        self._nevra_cache = set()
        self._nevra_reason_cache = {}
        self._warnings = []

        if filename and data:
            raise ValueError(_("Conflicting TransactionReplay arguments have been specified: filename, data"))
        elif filename:
            self._load_from_file(filename)
        else:
            self._load_from_data(data)