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import re
from collections import Counter
from cppy.cp_util import *
# 缓存系统,使用字典来存储文件路径和对应的词频结果; 可以存到本地磁盘,就可重复利用计算结果
word_freq_cache = {}
def calculate_word_frequency(file_path):
# 如果文件路径已经在缓存中,直接返回缓存的结果
if file_path in word_freq_cache:
return word_freq_cache[file_path]
# 计算词频
words = extract_file_words(file_path)
word_counts = Counter(words)
# 将结果存储到缓存中
word_freq_cache[file_path] = word_counts.most_common(10)
return word_freq_cache[file_path]
# 测试函数
top_10_words = calculate_word_frequency(testfilepath)
for word, freq in top_10_words:
print(f"{word}: {freq}")