def test_set_scalar_subset_X(matrix_type, subset_func):
    adata = ad.AnnData(matrix_type(np.zeros((10, 10))))
    orig_X_val = adata.X.copy()
    subset_idx = slice_subset(adata.obs_names)

    adata_subset = adata[subset_idx, :]

    adata_subset.X = 1

    assert adata_subset.is_view
    assert np.all(asarray(adata[subset_idx, :].X) == 1)

    assert asarray((orig_X_val != adata.X)).sum() == mul(*adata_subset.shape)
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