def setUp(self):
        try:
            from sqlalchemy import create_engine
            self._create_sql_engine = create_engine
        except __HOLE__:
            self._SQLALCHEMY_INSTALLED = False
        else:
            self._SQLALCHEMY_INSTALLED = True

        super(TestCompression, self).setUp()
        data = {
            'A': np.arange(1000, dtype=np.float64),
            'B': np.arange(1000, dtype=np.int32),
            'C': list(100 * 'abcdefghij'),
            'D': date_range(datetime.datetime(2015, 4, 1), periods=1000),
            'E': [datetime.timedelta(days=x) for x in range(1000)],
        }
        self.frame = {
            'float': DataFrame(dict((k, data[k]) for k in ['A', 'A'])),
            'int': DataFrame(dict((k, data[k]) for k in ['B', 'B'])),
            'mixed': DataFrame(data),
        }
dataset/ETHPy150Open pydata/pandas/pandas/io/tests/test_packers.py/TestCompression.setUp