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 _compute_reg_grads(gen_grads, disc_vars):
  """Compute gradients norm (this is an upper-bpund of the full-batch norm)."""
  gen_norm = tf.accumulate_n([tf.reduce_sum(u * u) for u in gen_grads])
  disc_reg_grads = tf.gradients(gen_norm, disc_vars)
  return disc_reg_grads