def test_view_of_view_modification():
    adata = ad.AnnData(np.zeros((10, 10)))
    adata[0, :][:, 5:].X = np.ones(5)
    assert np.all(adata.X[0, 5:] == np.ones(5))
    adata[[1, 2], :][:, [1, 2]].X = np.ones((2, 2))
    assert np.all(adata.X[1:3, 1:3] == np.ones((2, 2)))

    adata.X = sparse.csr_matrix(adata.X)
    adata[0, :][:, 5:].X = np.ones(5) * 2
    assert np.all(asarray(adata.X)[0, 5:] == np.ones(5) * 2)
    adata[[1, 2], :][:, [1, 2]].X = np.ones((2, 2)) * 2
    assert np.all(asarray(adata.X)[1:3, 1:3] == np.ones((2, 2)) * 2)
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