def sde(self): 
        variance = float(self.variance.values) 
        
        F = np.array( ((0.0,),))
        L = np.array( ((1.0,),))
        Qc = np.zeros((1,1))
        H = np.array( ((1.0,),))
        
        Pinf   = np.zeros((1,1))
        P0 = np.array( ((variance,),) )      
        
        dF = np.zeros((1,1,1))
        dQc    = np.zeros((1,1,1))
        
        dPinf = np.zeros((1,1,1))
        dP0 = np.zeros((1,1,1))
        dP0[:,:,0] = np.array( ((1.0,),) )
        
        return (F, L, Qc, H, Pinf, P0, dF, dQc, dPinf, dP0)
Raises an error when item is not in sequence.
dataset/ETHPy150Open SheffieldML/GPy/GPy/kern/_src/sde_static.py/sde_Bias.sde--crossover with--dataset/ETHPy150Open ganeti/ganeti/qa/qa_utils.py/AssertIn