#2022.2.23
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}

from math import log as ln
def likelihood(a,b,c,d, minus=None):  #from: http://ucrel.lancs.ac.uk/llwizard.html
	try:
		if a is None or a <= 0 : a = 0.000001
		if b is None or b <= 0 : b = 0.000001
		E1 = c * (a + b) / (c + d)
		E2 = d * (a + b) / (c + d)
		G2 = round(2 * ((a * ln(a / E1)) + (b * ln(b / E2))), 2)
		if minus or  (minus is None and a/c < b/d): G2 = 0 - G2
		return G2
	except Exception as e:
		print ("likelihood ex:",e, a,b,c,d)
		return 0

def keyness(arr:list):
	''' [[1,2,3,4],[2,3,4,5]],  http://ucrel.lancs.ac.uk/llwizard.html '''
	return [ ( ar[0],ar[1],ar[2],ar[3], likelihood(ar[0],ar[1],ar[2],ar[3]) ) for ar in arr]

def bnc_keyness(si:dict, si_sum:int=None):
	''' compared with lower lex of bnc  '''
	si_sum = sum([ i for s,i in si.items() ]) if not si_sum else si_sum
	bnc_sum = bnc_wordlist['_sum'] 
	return [ ( s, i, bnc_wordlist.get(s,0), likelihood(i,bnc_wordlist.get(s,0) ,si_sum,bnc_sum) ) for s,i in si.items()]

if __name__ == "__main__":  
	print (len(bnc_wordlist))
	print (bnc_keyness({"one":2, "three":13}, 102))