def test_view_setattr_machinery(attr, subset_func, subset_func2):
    # Tests that setting attributes on a view doesn't mess anything up too bad
    adata = gen_adata((10, 10))
    view = adata[subset_func(adata.obs_names), subset_func2(adata.var_names)]

    actual = view.copy()
    setattr(view, attr, getattr(actual, attr))
    assert_equal(actual, view, exact=True)
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)