import numpy as np
from sklearn import preprocessing
mask = ['0','1','2','3','4','5','6','7','8','9',
	'x','y','A','a','b','c','d',
	'm','n','p','f','h','k',
	'Delta','pi','+','-', '=', 'div','times','sqrt','(',')']
