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 _try_run_local_init_op(self, sess):
    """Tries to run _local_init_op, if not None, and is ready for local init.

    Args:
      sess: A `Session`.

    Returns:
      A tuple (is_successful, msg), where is_successful is True if
      _local_init_op is None, or we ran _local_init_op, and False otherwise;
      and msg is a `String` with the reason why the model was not ready to run
      local init.
    """
    if self._local_init_op is not None:
      is_ready_for_local_init, msg = self._model_ready_for_local_init(sess)
      if is_ready_for_local_init:
        logging.info("Running local_init_op.")
        sess.run(self._local_init_op, feed_dict=self._local_init_feed_dict,
                 options=self._local_init_run_options)
        logging.info("Done running local_init_op.")
        return True, None
      else:
        return False, msg
    return True, None