def robotsrulesetOfDomain(self, domain):
		'''检查domain是否在数据库中,
			否 --> (False, None)
			是 --> (True, 数据库中存储的robots.txt内容)
		'''
		exist = False
		cur = self.conn.cursor()
		# 是否存在
		cur.execute("SELECT 1 FROM Domains WHERE domain=?", (domain,))
		if cur.fetchone() :
			exist = True
		# 存在的话,结果是什么
		cur.execute("SELECT rules FROM Domains,Rulesets "
			"WHERE domain=? AND Domains.did=Rulesets.did"
			,(domain,) )
		ruleset = cur.fetchone()
		return (exist, ruleset)
def mcv_hbj(mcv, log=True, ax=0):
    """plot H, B, J of mcv dict"""
    import femagtools.mcv
    MUE0 = 4e-7*np.pi
    ji = []

    csiz = len(mcv['curve'])
    if ax == 0:
        ax = plt.gca()
    ax.set_title(mcv['name'])
    for k, c in enumerate(mcv['curve']):
        bh = [(bi, hi*1e-3)
              for bi, hi in zip(c['bi'],
                                c['hi'])]
        try:
            if csiz == 1 and mcv['ctype'] in (femagtools.mcv.MAGCRV,
                                              femagtools.mcv.ORIENT_CRV):
                ji = [b-MUE0*h*1e3 for b, h in bh]
        except Exception:
            pass
        bi, hi = zip(*bh)

        label = 'Flux Density'
        if csiz > 1:
            label = 'Flux Density ({0}°)'.format(mcv.mc1_angle[k])
        if log:
            ax.semilogx(hi, bi, label=label)
            if ji:
                ax.semilogx(hi, ji, label='Polarisation')
        else:
            ax.plot(hi, bi, label=label)
            if ji:
                ax.plot(hi, ji, label='Polarisation')
    ax.set_xlabel('H / kA/m')
    ax.set_ylabel('T')
    if ji or csiz > 1:
        ax.legend(loc='lower right')
    ax.grid()