Python模糊匹配 | 刷英语六级段落匹配只需要3秒？

pip install fuzzywuzzy -i http://pypi.douban.com/simple --trusted-host pypi.douban.com

with open("Englishreading.txt", "r", encoding="utf-8") as f1:
    con1 = f1.read().split("\n")
dic1 = {}
for i in con1:
    data = i.split(":")
    dic1[data[0]] = data[1]

print(dic1)

with open("match.txt", "r") as f2:
    con2 = f2.read().split("\n")

dic2 = {}
for i in con2:
    data = i.split(":")
    dic2[data[0]] = data[1]
print(dic2)

test_str = "Marconi was central to our present-day understanding of communication."
# test_str = "As an adult, Marconi had an intuition that he had to be loyal to politicians in order to be influential."
big_lst = []
for k, v in dic1.items():
    sentence = [x.strip(" ") for x in v.split(".")]
    scores = []
    for a in sentence:
        score = fuzz.partial_ratio(a, test_str)
        scores.append(score)
    # print(scores, sum(scores), round(sum(scores) / len(scores), 2))
    k_score = sum(scores) * 0.2 + sum(scores) / len(scores)
    big_lst.append((k, scores, round(k_score, 2)))

results = sorted(big_lst, key=lambda x: x[2], reverse=True)
print(results)
print(results[0][0])

# -*- coding: UTF-8 -*-
"""
@Author  ： 叶庭云
@CSDN    ： https://yetingyun.blog.csdn.net/
"""
answers = []
for idx, ans in dic2.items():
    big_lst = []
    for k, v in dic1.items():
        sentence = [x.strip(" ") for x in v.split(".")]
        scores = []
        for a in sentence:
            # score = fuzz.token_sort_ratio(a, ans)
            score = fuzz.partial_ratio(a, ans)
            if score > 30:
                scores.append(score)
        scores.sort()
        if len(scores) >= 2:
            max_ = max(scores) + scores[-2]
        else:
            max_ = max(scores)
        big_lst.append((k, max_, scores))
    results = sorted(big_lst, key=lambda x: x[1], reverse=True)
    print(results)
    print("-" * 66)
    answers.append(results[0][0])


print("answer：", answers)