def Gaussian_Noise_Cov(self):
		index = 0
		tmp=[0.0]*10
		average = 0.0
		sum = 0.0
		
		#Get random number */
		for i in range(10): 
		
			index = randint(0,90)
			tmp[i] = Rand_Table[index]
			sum += tmp[i];	
		
		# Calculate average
		average = sum/10
		
		#Calculate Variance 
		Variance = 0.0	
		for j in range(10):
			Variance += (tmp[j]-average)*(average-tmp[j])
		Variance/=10.0	
		return Variance
dataset/ETHPy150Open DexterInd/GrovePi/Software/Python/grove_barometer_sensors/high_accuracy_hp206c_barometer/KalmanFilter.py/KalmanFilter.Gaussian_Noise_Cov/swapped operands of `-`