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

def __init__(self,bigy,bigX,bigyend=None,bigq=None,w=None,regimes=None,vm=False,\
                 regime_lag_sep=False, w_lags=1, lag_q=True, nonspat_diag=True,\
                 spat_diag=False,name_bigy=None,name_bigX=None,name_bigyend=None,\
                 name_bigq=None,name_ds=None,name_w=None,name_regimes=None):
        if w is None:
            raise Exception("Spatial weights required for SUR-Lag")
        self.w = w
        WS = w.sparse
        self.name_ds = USER.set_name_ds(name_ds)
        self.name_w = USER.set_name_w(name_w, w)
        if bigyend and not(bigq):
            raise Exception("Instruments needed when endogenous variables")
        #initialize
        self.bigy = bigy
        self.n_eq = len(self.bigy.keys())
        if name_bigy:
            self.name_bigy = name_bigy
        else: # need to construct y names
            self.name_bigy = {}
            for r in range(self.n_eq):
                yn = 'dep_var_' + str(r+1)
                self.name_bigy[r] = yn               
#        self.bigX = bigX
        if name_bigX is None:
            name_bigX = {}

n = USER.check_arrays(x, yend, q)
        USER.check_y(y, n)
        USER.check_weights(w, y, w_required=True)
        USER.check_robust(robust, gwk)
        yend2, q2 = set_endog(y, x, w, yend, q, w_lags, lag_q)
        x_constant = USER.check_constant(x)
        BaseGM_Lag.__init__(
            self, y=y, x=x_constant, w=w.sparse, yend=yend2, q=q2,
            w_lags=w_lags, robust=robust, gwk=gwk,
            lag_q=lag_q, sig2n_k=sig2n_k)
        self.rho = self.betas[-1]
        self.predy_e, self.e_pred, warn = sp_att(w, self.y, self.predy,
                                                 yend2[:, -1].reshape(self.n, 1), self.rho)
        set_warn(self, warn)
        self.title = "SPATIAL 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_yend.append(USER.set_name_yend_sp(self.name_y))
        self.name_z = self.name_x + self.name_yend
        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.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.GM_Lag(reg=self, w=w, vm=vm, spat_diag=spat_diag)

def __init__(self,bigy,bigX,bigyend,bigq,regimes=None,nonspat_diag=True,\
        name_bigy=None,name_bigX=None,name_bigyend=None,name_bigq=None,\
        name_ds=None,name_regimes=None):

        self.name_ds = USER.set_name_ds(name_ds)
        self.n_eq = len(bigy.keys())        

        #initialize names - should be generated by sur_stack
        if name_bigy:
            self.name_bigy = name_bigy
        else: # need to construct y names
            self.name_bigy = {}
            for r in range(self.n_eq):
                yn = 'dep_var_' + str(r+1)
                self.name_bigy[r] = yn

        if name_bigX is None:
            name_bigX = {}
            for r in range(self.n_eq):
                k = bigX[r].shape[1] - 1
                name_x = ['var_' + str(i + 1) + "_" + str(r+1) for i in range(k)]

yn = 'dep_var_' + str(r)
                self.name_bigy[r] = yn               
        if name_bigX is None:
            name_bigX = {}
            for r in range(self.n_eq):
                k = bigX[r].shape[1] - 1
                name_x = ['var_' + str(i + 1) + "_" + str(r+1) for i in range(k)]
                ct = 'Constant_' + str(r+1)  # NOTE: constant always included in X
                name_x.insert(0, ct)
                name_bigX[r] = name_x

        if regimes is not None:
            self.constant_regi = 'many'
            self.cols2regi = 'all'
            self.regime_err_sep = False
            self.name_regimes = USER.set_name_ds(name_regimes)
            self.regimes_set = REGI._get_regimes_set(regimes)
            self.regimes = regimes
            cols2regi_dic = {}
            self.name_bigX = {}
            self.name_x_r = name_bigX

            for r in range(self.n_eq):
                cols2regi_dic[r] = REGI.check_cols2regi(self.constant_regi, self.cols2regi, bigX[r], add_cons=False)
                USER.check_regimes(self.regimes_set, bigy[0].shape[0], bigX[r].shape[1])
                bigX[r], self.name_bigX[r] = REGI.Regimes_Frame.__init__(self, bigX[r],\
                 regimes, constant_regi=None, cols2regi=cols2regi_dic[r], names=name_bigX[r])
        else:
            self.name_bigX = name_bigX

        BaseSURerrorGM.__init__(self,bigy=bigy,bigX=bigX,w=w)

def __init__(self, y, x, w, method='full', epsilon=0.0000001,
                 spat_diag=False, vm=False, name_y=None, name_x=None,
                 name_w=None, name_ds=None):
        n = USER.check_arrays(y, x)
        USER.check_y(y, n)
        USER.check_weights(w, y, w_required=True)
        x_constant = USER.check_constant(x)
        method = method.upper()
        BaseML_Lag.__init__(
            self, y=y, x=x_constant, w=w, method=method, epsilon=epsilon)
        # increase by 1 to have correct aic and sc, include rho in count
        self.k += 1
        self.title = "MAXIMUM LIKELIHOOD SPATIAL LAG" + \
            " (METHOD = " + method + ")"
        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)
        name_ylag = USER.set_name_yend_sp(self.name_y)
        self.name_x.append(name_ylag)  # rho changed to last position
        self.name_w = USER.set_name_w(name_w, w)
        self.aic = DIAG.akaike(reg=self)
        self.schwarz = DIAG.schwarz(reg=self)
        SUMMARY.ML_Lag(reg=self, w=w, vm=vm, spat_diag=spat_diag)

def __init__(self, y, x, w,
                 max_iter=1, epsilon=0.00001, step1c=False,
                 vm=False, name_y=None, name_x=None,
                 name_w=None, name_ds=None):

        n = USER.check_arrays(y, x)
        USER.check_y(y, n)
        USER.check_weights(w, y, w_required=True)
        x_constant = USER.check_constant(x)
        BaseGM_Error_Het.__init__(
            self, y, x_constant, w.sparse, max_iter=max_iter,
            step1c=step1c, epsilon=epsilon)
        self.title = "SPATIALLY WEIGHTED 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_x.append('lambda')
        self.name_w = USER.set_name_w(name_w, w)
        SUMMARY.GM_Error_Het(reg=self, w=w, vm=vm)

def __init__(self, y, x, yend, q, regimes, w,
                 max_iter=1, epsilon=0.00001, step1c=False,
                 constant_regi='many', cols2regi='all', regime_err_sep=False,
                 regime_lag_sep=False,
                 inv_method='power_exp', cores=False,
                 vm=False, name_y=None, name_x=None,
                 name_yend=None, name_q=None, name_w=None, name_ds=None,
                 name_regimes=None, summ=True, add_lag=False):

        n = USER.check_arrays(y, x, yend, q)
        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_regimes = USER.set_name_ds(name_regimes)
        self.name_w = USER.set_name_w(name_w, w)
        self.n, self.step1c = n, step1c
        self.y = y

        name_x = USER.set_name_x(name_x, x)
        if summ:
            name_yend = USER.set_name_yend(name_yend, yend)
            self.name_y = USER.set_name_y(name_y)
            name_q = USER.set_name_q(name_q, q)
        self.name_x_r = name_x + name_yend

        cols2regi = REGI.check_cols2regi(
            constant_regi, cols2regi, x, yend=yend)
        self.regimes_set = REGI._get_regimes_set(regimes)
        self.regimes = regimes

def __init__(self, y, x, yend, q, regimes, w, cores=False,
                 vm=False, constant_regi='many', cols2regi='all',
                 regime_err_sep=False, regime_lag_sep=False, name_y=None,
                 name_x=None, name_yend=None, name_q=None, name_w=None,
                 name_ds=None, name_regimes=None, summ=True, add_lag=False):

        n = USER.check_arrays(y, x, yend, q)
        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_regimes = USER.set_name_ds(name_regimes)
        self.name_w = USER.set_name_w(name_w, w)
        self.n = n
        self.y = y

        name_x = USER.set_name_x(name_x, x)
        if summ:
            name_yend = USER.set_name_yend(name_yend, yend)
            self.name_y = USER.set_name_y(name_y)
            name_q = USER.set_name_q(name_q, q)
        self.name_x_r = name_x + name_yend

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