def test():
	dbcli = getCliInstance()
	# dbcli.insertDomain('jaysonhwang.com')
	# dbcli.insertRuleset('test','jaysonhwang.com')
	print dbcli.robotsrulesetOfDomain('www.zol.com')
	print dbcli.robotsrulesetOfDomain('jayson.com')
	dbcli.showAll()
	dbcli.close()
def __update_covariance(self, means, rc, mc):
        covariance = 0.0
        for index_point in range(len(self.__data)):
            deviation = numpy.array([self.__data[index_point] - means])
            covariance += rc[index_point] * deviation.T.dot(deviation)