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 set_add_spinboxes_maximum_on_label_change(self):
        nbits = self.current_label.end - self.current_label.start  # Use Bit Start/End for maximum calc.
        if nbits >= 32:
            nbits = 31
        max_val = 2 ** nbits - 1
        self.ui.sBAddRangeStart.setMaximum(max_val - 1)
        self.ui.sBAddRangeEnd.setMaximum(max_val)
        self.ui.sBAddRangeEnd.setValue(max_val)
        self.ui.sBAddRangeStep.setMaximum(max_val)
        self.ui.spinBoxLowerBound.setMaximum(max_val - 1)
        self.ui.spinBoxUpperBound.setMaximum(max_val)
        self.ui.spinBoxUpperBound.setValue(max_val)
        self.ui.spinBoxBoundaryNumber.setMaximum(int(max_val / 2) + 1)
        self.ui.spinBoxRandomMinimum.setMaximum(max_val - 1)
        self.ui.spinBoxRandomMaximum.setMaximum(max_val)
        self.ui.spinBoxRandomMaximum.setValue(max_val)