import csv

def flatten(t):
    return [item for sublist in t for item in sublist]

with open('./result.txt', mode='r', encoding='utf-8') as result:
        with open('./train/expected.tsv', 'r', encoding="utf8") as expected:
            
            result_vector = []
            expected_vector = []
            
            tsv_result = csv.reader(result, delimiter="\t")
            for line in tsv_result:
                result_vector.append(line)

            tsv_expected = csv.reader(expected, delimiter="\t")
            for line in tsv_expected:
                expected_vector.append(line)
    

            expected_vector = flatten(expected_vector)
            result_vector = flatten(result_vector)

            resultZip = zip(result_vector, expected_vector)

            matchNumber = 0.0
            for x,y in resultZip:
                if x == y:
                    matchNumber += 1.0
            
            print(matchNumber/len(expected_vector))