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 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)