@pytest.mark.parametrize('rowid,colno,confidence',
    [(i+1, j, conf)
        for i in range(min(5, len(t1_rows)))
        for j in range(1,3)
        for conf in [0.01, 0.5, 0.99]])
def test_t1_predict(rowid, colno, confidence):
    with analyzed_bayesdb_generator(t1(), 1, 1) as (bdb, generator_id):
        if rowid == 0: rowid = bayesdb_maxrowid(bdb, generator_id)
        bqlfn.bql_predict(bdb, generator_id, None, colno, rowid, confidence)
dataset/ETHPy150Open probcomp/bayeslite/tests/test_core.py/test_t1_predict/original