How to use the pysal.model.spreg.user_output.set_name_x function in pysal

n = USER.check_arrays(y, x)
        USER.check_y(y, n)
        if w != None:
            USER.check_weights(w, y)
            spat_diag = True
            ws = w.sparse
        else:
            ws = None
        x_constant = USER.check_constant(x)
        BaseProbit.__init__(self, y=y, x=x_constant, w=ws,
                            optim=optim, scalem=scalem, maxiter=maxiter)
        self.title = "CLASSIC PROBIT ESTIMATOR"
        self.name_ds = USER.set_name_ds(name_ds)
        self.name_y = USER.set_name_y(name_y)
        self.name_x = USER.set_name_x(name_x, x)
        self.name_w = USER.set_name_w(name_w, w)
        SUMMARY.Probit(reg=self, w=w, vm=vm, spat_diag=spat_diag)

n = USER.check_arrays(y, x)
        USER.check_y(y, n)
        USER.check_weights(w, y, w_required=True)
        self.constant_regi = constant_regi
        self.cols2regi = cols2regi
        self.regime_err_sep = regime_err_sep
        self.name_ds = USER.set_name_ds(name_ds)
        self.name_y = USER.set_name_y(name_y)
        self.name_w = USER.set_name_w(name_w, w)
        self.name_regimes = USER.set_name_ds(name_regimes)
        self.n = n
        self.y = y

        x_constant = USER.check_constant(x)
        name_x = USER.set_name_x(name_x, x)
        self.name_x_r = name_x

        cols2regi = REGI.check_cols2regi(constant_regi, cols2regi, x)
        self.regimes_set = REGI._get_regimes_set(regimes)
        self.regimes = regimes
        USER.check_regimes(self.regimes_set, self.n, x.shape[1])
        self.regime_err_sep = regime_err_sep

        if regime_err_sep == True:
            if set(cols2regi) == set([True]):
                self._error_regimes_multi(y, x, regimes, w, cores,
                                          max_iter, epsilon, A1, cols2regi, vm, name_x)
            else:
                raise Exception("All coefficients must vary accross regimes if regime_err_sep = True.")
        else:
            if A1 == 'hom':

def __init__(self, y, x, regimes, yend=None, q=None,
                 w=None, w_lags=1, lag_q=True,
                 robust=None, gwk=None, sig2n_k=False,
                 spat_diag=False, constant_regi='many',
                 cols2regi='all', regime_lag_sep=False, regime_err_sep=True,
                 cores=False, vm=False, name_y=None, name_x=None,
                 name_yend=None, name_q=None, name_regimes=None,
                 name_w=None, name_gwk=None, name_ds=None):

        n = USER.check_arrays(y, x)
        USER.check_y(y, n)
        USER.check_weights(w, y, w_required=True)
        USER.check_robust(robust, gwk)
        USER.check_spat_diag(spat_diag, w)
        name_x = USER.set_name_x(name_x, x, constant=True)
        name_y = USER.set_name_y(name_y)
        name_yend = USER.set_name_yend(name_yend, yend)
        name_q = USER.set_name_q(name_q, q)
        name_q.extend(
            USER.set_name_q_sp(name_x, w_lags, name_q, lag_q, force_all=True))
        self.name_regimes = USER.set_name_ds(name_regimes)
        self.constant_regi = constant_regi
        self.n = n
        cols2regi = REGI.check_cols2regi(
            constant_regi, cols2regi, x, yend=yend, add_cons=False)
        self.cols2regi = cols2regi
        self.regimes_set = REGI._get_regimes_set(regimes)
        self.regimes = regimes
        USER.check_regimes(self.regimes_set, self.n, x.shape[1])
        if regime_err_sep == True and robust == 'hac':
            set_warn(

USER.check_y(y, n)
        USER.check_weights(w, y, w_required=True)
        yend2, q2 = set_endog(y, x, w, yend, q, w_lags, lag_q)
        x_constant = USER.check_constant(x)
        BaseGM_Combo_Het.__init__(self, y=y, x=x_constant, yend=yend2, q=q2,
                                  w=w.sparse, w_lags=w_lags,
                                  max_iter=max_iter, step1c=step1c, lag_q=lag_q,
                                  epsilon=epsilon, inv_method=inv_method)
        self.rho = self.betas[-2]
        self.predy_e, self.e_pred, warn = UTILS.sp_att(w, self.y, self.predy,
                                                       yend2[:, -1].reshape(self.n, 1), self.rho)
        UTILS.set_warn(self, warn)
        self.title = "SPATIALLY WEIGHTED TWO STAGE LEAST SQUARES (HET)"
        self.name_ds = USER.set_name_ds(name_ds)
        self.name_y = USER.set_name_y(name_y)
        self.name_x = USER.set_name_x(name_x, x)
        self.name_yend = USER.set_name_yend(name_yend, yend)
        self.name_yend.append(USER.set_name_yend_sp(self.name_y))
        self.name_z = self.name_x + self.name_yend
        self.name_z.append('lambda')  # listing lambda last
        self.name_q = USER.set_name_q(name_q, q)
        self.name_q.extend(
            USER.set_name_q_sp(self.name_x, w_lags, self.name_q, lag_q))
        self.name_h = USER.set_name_h(self.name_x, self.name_q)
        self.name_w = USER.set_name_w(name_w, w)
        SUMMARY.GM_Combo_Het(reg=self, w=w, vm=vm)

cores=False, name_ds=None, name_regimes=None):

        n = USER.check_arrays(y, x)
        USER.check_y(y, n)
        USER.check_weights(w, y, w_required=True)
        self.constant_regi = constant_regi
        self.cols2regi = cols2regi
        self.name_ds = USER.set_name_ds(name_ds)
        self.name_y = USER.set_name_y(name_y)
        self.name_w = USER.set_name_w(name_w, w)
        self.name_regimes = USER.set_name_ds(name_regimes)
        self.n = n
        self.y = y

        x_constant = USER.check_constant(x)
        name_x = USER.set_name_x(name_x, x)
        self.name_x_r = name_x

        cols2regi = REGI.check_cols2regi(constant_regi, cols2regi, x)
        self.regimes_set = REGI._get_regimes_set(regimes)
        self.regimes = regimes
        USER.check_regimes(self.regimes_set, self.n, x.shape[1])
        self.regime_err_sep = regime_err_sep
        if regime_err_sep == True:
            if set(cols2regi) == set([True]):
                self._error_regimes_multi(y, x, regimes, w, cores,
                                          cols2regi, vm, name_x)
            else:
                raise Exception("All coefficients must vary accross regimes if regime_err_sep = True.")
        else:
            self.x, self.name_x = REGI.Regimes_Frame.__init__(self, x_constant,
                                                              regimes, constant_regi=None, cols2regi=cols2regi, names=name_x)

raise Exception("All coefficients must vary accross regimes if regime_err_sep = True.")
        else:
            regimes_att = {}
            regimes_att['x'] = x_constant
            regimes_att['regimes'] = regimes
            regimes_att['cols2regi'] = cols2regi
            x, name_x = REGI.Regimes_Frame.__init__(self, x_constant,
                                                    regimes, constant_regi=None, cols2regi=cols2regi,
                                                    names=name_x)

            BaseML_Error.__init__(
                self, y=y, x=x, w=w, method=method, epsilon=epsilon, regimes_att=regimes_att)

            self.title = "MAXIMUM LIKELIHOOD SPATIAL ERROR - REGIMES" + \
                " (METHOD = " + method + ")"
            self.name_x = USER.set_name_x(name_x, x, constant=True)
            self.name_x.append('lambda')
            self.kf += 1  # Adding a fixed k to account for lambda.
            self.chow = REGI.Chow(self)
            self.aic = DIAG.akaike(reg=self)
            self.schwarz = DIAG.schwarz(reg=self)
            SUMMARY.ML_Error(
                reg=self, w=w, vm=vm, spat_diag=spat_diag, regimes=True)

vm=False, name_y=None, name_x=None,
                 name_yend=None, name_q=None,
                 name_w=None, name_gwk=None, name_ds=None):

        n = USER.check_arrays(y, x, yend, q)
        USER.check_y(y, n)
        USER.check_weights(w, y)
        USER.check_robust(robust, gwk)
        USER.check_spat_diag(spat_diag, w)
        x_constant = USER.check_constant(x)
        BaseTSLS.__init__(self, y=y, x=x_constant, yend=yend, q=q,
                          robust=robust, gwk=gwk, sig2n_k=sig2n_k)
        self.title = "TWO STAGE LEAST SQUARES"
        self.name_ds = USER.set_name_ds(name_ds)
        self.name_y = USER.set_name_y(name_y)
        self.name_x = USER.set_name_x(name_x, x)
        self.name_yend = USER.set_name_yend(name_yend, yend)
        self.name_z = self.name_x + self.name_yend
        self.name_q = USER.set_name_q(name_q, q)
        self.name_h = USER.set_name_h(self.name_x, self.name_q)
        self.robust = USER.set_robust(robust)
        self.name_w = USER.set_name_w(name_w, w)
        self.name_gwk = USER.set_name_w(name_gwk, gwk)
        SUMMARY.TSLS(reg=self, vm=vm, w=w, spat_diag=spat_diag)

nonspat_diag=True, spat_diag=False, moran=False,
                 white_test=False, vm=False, name_y=None, name_x=None,
                 name_w=None, name_gwk=None, name_ds=None):

        n = USER.check_arrays(y, x)
        USER.check_y(y, n)
        USER.check_weights(w, y)
        USER.check_robust(robust, gwk)
        USER.check_spat_diag(spat_diag, w)
        x_constant = USER.check_constant(x)
        BaseOLS.__init__(self, y=y, x=x_constant, robust=robust,
                         gwk=gwk, sig2n_k=sig2n_k)
        self.title = "ORDINARY LEAST SQUARES"
        self.name_ds = USER.set_name_ds(name_ds)
        self.name_y = USER.set_name_y(name_y)
        self.name_x = USER.set_name_x(name_x, x)
        self.robust = USER.set_robust(robust)
        self.name_w = USER.set_name_w(name_w, w)
        self.name_gwk = USER.set_name_w(name_gwk, gwk)
        SUMMARY.OLS(reg=self, vm=vm, w=w, nonspat_diag=nonspat_diag,
                    spat_diag=spat_diag, moran=moran, white_test=white_test)

def GM_Lag_Regimes_Multi(self, y, x, w_i, w, regi_ids, cores=False,
                             yend=None, q=None, w_lags=1, lag_q=True,
                             robust=None, gwk=None, sig2n_k=False, cols2regi='all',
                             spat_diag=False, vm=False, name_y=None, name_x=None,
                             name_yend=None, name_q=None, name_regimes=None,
                             name_w=None, name_gwk=None, name_ds=None):
        #        pool = mp.Pool(cores)
        self.name_ds = USER.set_name_ds(name_ds)
        name_x = USER.set_name_x(name_x, x)
        name_yend.append(USER.set_name_yend_sp(name_y))
        self.name_w = USER.set_name_w(name_w, w_i)
        self.name_gwk = USER.set_name_w(name_gwk, gwk)
        results_p = {}
        """
        for r in self.regimes_set:
            w_r = w_i[r].sparse
            if system() == 'Windows':
                is_win = True
                results_p[r] = _work(*(y,x,regi_ids,r,yend,q,w_r,w_lags,lag_q,robust,sig2n_k,self.name_ds,name_y,name_x,name_yend,name_q,self.name_w,name_regimes))
            else:                
                results_p[r] = pool.apply_async(_work,args=(y,x,regi_ids,r,yend,q,w_r,w_lags,lag_q,robust,sig2n_k,self.name_ds,name_y,name_x,name_yend,name_q,self.name_w,name_regimes, ))
                is_win = False
        """
        for r in self.regimes_set:
            w_r = w_i[r].sparse