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 __calculate_initial_covariances(self, initial_clusters):
        covariances = []
        for initial_cluster in initial_clusters:
            if len(initial_cluster) > 1:
                cluster_sample = [self.__sample[index_point] for index_point in initial_cluster]
                covariances.append(numpy.cov(cluster_sample, rowvar=False))
            else:
                dimension = len(self.__sample[0])
                covariances.append(numpy.zeros((dimension, dimension)) + random.random() / 10.0)