def test_set_var(adata, subset_func):
    init_hash = joblib.hash(adata)

    subset = adata[:, subset_func(adata.var_names)]

    new_var = pd.DataFrame(
        dict(a=np.ones(subset.n_vars), b=np.ones(subset.n_vars)),
        index=subset.var_names,
    )

    assert subset.is_view
    subset.var = new_var
    assert not subset.is_view
    assert np.all(subset.var == new_var)

    assert joblib.hash(adata) == init_hash
def permutation_subjects_ktst(y):
    """Permute class labels of Contextual Disorder dataset for KTST.
    """
    yp = np.random.randint(0, 2, len(y)/2)
    yp = np.concatenate((yp, np.logical_not(yp).astype(int)))
    y_perm = np.arange(len(y))
    for i in range(len(y)/2):
        if yp[i] == 1:
            y_perm[i] = len(y)/2+i
            y_perm[len(y)/2+i] = i
    return y_perm