def test_layers_view():
    X = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
    L = np.array([[10, 11, 12], [13, 14, 15], [16, 17, 18]])
    real_adata = ad.AnnData(X)
    real_adata.layers["L"] = L
    view_adata = real_adata[1:, 1:]
    real_hash = joblib.hash(real_adata)
    view_hash = joblib.hash(view_adata)

    assert view_adata.is_view

    with pytest.raises(ValueError):
        view_adata.layers["L2"] = L + 2

    assert view_adata.is_view  # Failing to set layer item makes adata not view
    assert real_hash == joblib.hash(real_adata)
    assert view_hash == joblib.hash(view_adata)

    view_adata.layers["L2"] = L[1:, 1:] + 2

    assert not view_adata.is_view
    assert real_hash == joblib.hash(real_adata)
    assert view_hash != joblib.hash(view_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