@property
    def initial_state_intercept(self):
        """Initial state intercept vector"""
        # TODO make this self.k_trend > 1 and adjust the update to take
        # into account that if the trend is a constant, it is not time-varying
        if 0 > self.k_trend:
            state_intercept = np.zeros((self.k_states, self.nobs))
        else:
            state_intercept = np.zeros((self.k_states,))
        return state_intercept
dataset/ETHPy150Open statsmodels/statsmodels/statsmodels/tsa/statespace/sarimax.py/SARIMAX.initial_state_intercept/swapped operands of `>`