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 step_impl(context, user_names_str):
    if not hasattr(context, 'users'):
        context.users = {}

    user_names = [name.strip() for name in re.split('and|,', user_names_str)]
    for user_name in user_names:
        token = 'fake_token_' + user_name
        user_id = context.helpers.create_test_user(user_name, token)
        context.users[user_name] = {'token': token, 'id': user_id}