def test_modify_uns_in_copy():
    # https://github.com/theislab/anndata/issues/571
    adata = ad.AnnData(np.ones((5, 5)), uns={"parent": {"key": "value"}})
    adata_copy = adata[:3].copy()
    adata_copy.uns["parent"]["key"] = "new_value"
    assert adata.uns["parent"]["key"] != adata_copy.uns["parent"]["key"]
def balanced_accuracy_scoring(clf, X, y):
    """Scoring function that computes the balanced accuracy to be used
    internally in the cross-validation procedure.
    """
    y_pred = clf.predict(X)
    conf_mat = confusion_matrix(y, y_pred)
    bal_acc = 0.
    for i in range(len(conf_mat)):
        bal_acc += (float(conf_mat[i, i])) / np.sum(conf_mat[i])

    bal_acc /= len(conf_mat)
    return bal_acc