def test_set_subset_varm(adata, subset_func):
    init_hash = joblib.hash(adata)
    orig_varm_val = adata.varm["o"].copy()

    while True:
        subset_idx = slice_subset(adata.var_names)
        if (adata[:, subset_idx]).shape[1] > 2:
            break
    subset = adata[:, subset_idx]

    internal_idx = _normalize_index(
        subset_func(np.arange(subset.varm["o"].shape[0])), subset.var_names
    )

    assert subset.is_view
    subset.varm["o"][internal_idx] = 1
    assert not subset.is_view
    assert np.all(adata.varm["o"] == orig_varm_val)

    assert init_hash == joblib.hash(adata)
def setup_args(parser=None):
    if parser is None:
        parser = ParlaiParser(True, True, 'Check tasks for common errors')
    # Get command line arguments
    parser.add_argument('-ltim', '--log-every-n-secs', type=float, default=2)
    parser.add_argument('-d', '--display-examples', type='bool', default=False)
    parser.set_defaults(datatype='train:stream:ordered')
    return parser