def test_set_subset_varm(adata, subset_func):
    init_hash = joblib.hash(adata)
    orig_varm_val = adata.varm["o"].copy()

    while True:
        subset_idx = slice_subset(adata.var_names)
        if (adata[:, subset_idx]).shape[1] > 2:
            break
    subset = adata[:, subset_idx]

    internal_idx = _normalize_index(
        subset_func(np.arange(subset.varm["o"].shape[0])), subset.var_names
    )

    assert subset.is_view
    subset.varm["o"][internal_idx] = 1
    assert not subset.is_view
    assert np.all(adata.varm["o"] == orig_varm_val)

    assert init_hash == joblib.hash(adata)
def remove_attributes(self, model):
        """
        Removes the x and y attributes which were added by the forward handles
        Recursively searches for non-container layers
        """
        for child in model.children():
            if 'nn.modules.container' in str(type(child)):
                self.remove_attributes(child)
            else:
                try:
                    del child.x
                except AttributeError:
                    pass
                try:
                    del child.y
                except AttributeError:
                    pass