Python bayesdb_deregister_metamodel примеры использования

Пример #1

def test_hackmetamodel():
    bdb = bayeslite.bayesdb_open(builtin_metamodels=False)
    bdb.sql_execute('CREATE TABLE t(a INTEGER, b TEXT)')
    bdb.sql_execute("INSERT INTO t (a, b) VALUES (42, 'fnord')")
    bdb.sql_execute('CREATE TABLE u AS SELECT * FROM t')
    with pytest.raises(bayeslite.BQLError):
        bdb.execute('CREATE GENERATOR t_cc FOR t USING crosscat(a NUMERICAL)')
    with pytest.raises(bayeslite.BQLError):
        bdb.execute('CREATE GENERATOR t_dd FOR t USING dotdog(a NUMERICAL)')
    dotdog_metamodel = DotdogMetamodel()
    bayeslite.bayesdb_register_metamodel(bdb, dotdog_metamodel)
    bayeslite.bayesdb_deregister_metamodel(bdb, dotdog_metamodel)
    bayeslite.bayesdb_register_metamodel(bdb, dotdog_metamodel)
    with pytest.raises(bayeslite.BQLError):
        bdb.execute('CREATE GENERATOR t_cc FOR t USING crosscat(a NUMERICAL)')
    bdb.execute('CREATE GENERATOR t_dd FOR t USING dotdog(a NUMERICAL)')
    with pytest.raises(bayeslite.BQLError):
        bdb.execute('CREATE GENERATOR t_dd FOR t USING dotdog(a NUMERICAL)')
    with pytest.raises(bayeslite.BQLError):
        bdb.execute('CREATE GENERATOR t_cc FOR t USING crosscat(a NUMERICAL)')
    with pytest.raises(bayeslite.BQLError):
        bdb.execute('CREATE GENERATOR t_dd FOR t USING dotdog(a NUMERICAL)')
    # XXX Rest of test originally exercised default metamodel, but
    # syntax doesn't support that now.  Not clear that's wrong either.
    bdb.execute('CREATE GENERATOR u_dd FOR u USING dotdog(a NUMERICAL)')
    with pytest.raises(bayeslite.BQLError):
        bdb.execute('CREATE GENERATOR u_dd FOR u USING dotdog(a NUMERICAL)')

Пример #2

Файл: test_core.py Проект: davidrichards/bayeslite

def test_hackmetamodel():
    bdb = bayeslite.bayesdb_open(builtin_metamodels=False)
    bdb.sql_execute('CREATE TABLE t(a INTEGER, b TEXT)')
    bdb.sql_execute("INSERT INTO t (a, b) VALUES (42, 'fnord')")
    bdb.sql_execute('CREATE TABLE u AS SELECT * FROM t')
    with pytest.raises(bayeslite.BQLError):
        bdb.execute('CREATE GENERATOR t_cc FOR t USING crosscat(a NUMERICAL)')
    with pytest.raises(bayeslite.BQLError):
        bdb.execute('CREATE GENERATOR t_dd FOR t USING dotdog(a NUMERICAL)')
    crosscat = local_crosscat()
    crosscat_metamodel = CrosscatMetamodel(crosscat)
    dotdog_metamodel = DotdogMetamodel()
    bayeslite.bayesdb_register_metamodel(bdb, dotdog_metamodel)
    bayeslite.bayesdb_deregister_metamodel(bdb, dotdog_metamodel)
    bayeslite.bayesdb_register_metamodel(bdb, dotdog_metamodel)
    with pytest.raises(bayeslite.BQLError):
        bdb.execute('CREATE GENERATOR t_cc FOR t USING crosscat(a NUMERICAL)')
    bdb.execute('CREATE GENERATOR t_dd FOR t USING dotdog(a NUMERICAL)')
    with pytest.raises(bayeslite.BQLError):
        bdb.execute('CREATE GENERATOR t_dd FOR t USING dotdog(a NUMERICAL)')
    with pytest.raises(bayeslite.BQLError):
        bdb.execute('CREATE GENERATOR t_cc FOR t USING crosscat(a NUMERICAL)')
    with pytest.raises(bayeslite.BQLError):
        bdb.execute('CREATE GENERATOR t_dd FOR t USING dotdog(a NUMERICAL)')
    # XXX Rest of test originally exercised default metamodel, but
    # syntax doesn't support that now.  Not clear that's wrong either.
    bdb.execute('CREATE GENERATOR u_dd FOR u USING dotdog(a NUMERICAL)')
    with pytest.raises(bayeslite.BQLError):
        bdb.execute('CREATE GENERATOR u_dd FOR u USING dotdog(a NUMERICAL)')