def test_drop_obs_column():
    adata = ad.AnnData(np.array(X_list), obs=obs_dict, dtype="int32")

    subset = adata[:2]
    assert subset.is_view
    # returns a copy of obs
    assert subset.obs.drop(columns=["oanno1"]).columns.tolist() == ["oanno2", "oanno3"]
    assert subset.is_view
    # would modify obs, so it should actualize subset and not modify adata
    subset.obs.drop(columns=["oanno1"], inplace=True)
    assert not subset.is_view
    assert subset.obs.columns.tolist() == ["oanno2", "oanno3"]

    assert adata.obs.columns.tolist() == ["oanno1", "oanno2", "oanno3"]
def profile(self, action_name: str) -> Generator:
        """
        Yields a context manager to encapsulate the scope of a profiled action.

        Example::

            with self.profile('load training data'):
                # load training data code

        The profiler will start once you've entered the context and will automatically
        stop once you exit the code block.
        """
        try:
            self.start(action_name)
            yield action_name
        finally:
            self.stop(action_name)