def test_set_obsm_key(adata):
    init_hash = joblib.hash(adata)

    orig_obsm_val = adata.obsm["o"].copy()
    subset_obsm = adata[:50]
    assert subset_obsm.is_view
    subset_obsm.obsm["o"] = np.ones((50, 20))
    assert not subset_obsm.is_view
    assert np.all(adata.obsm["o"] == orig_obsm_val)

    assert init_hash == joblib.hash(adata)
def update_state(self, y_true, y_pred, sample_weight=None):
    sample_weight = _apply_mask(y_true, sample_weight, self._masked_tokens,
                                self._dtype)
    num_classes = tf.shape(y_pred)[-1]
    y_true = tf.reshape(y_true, [-1])
    y_pred = tf.reshape(y_pred, [-1, num_classes])
    sample_weight = tf.reshape(sample_weight, [-1])
    super().update_state(y_true, y_pred, sample_weight)