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34 lines
971 B
34 lines
971 B
from collections import Counter
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from cppy.cp_util import *
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# 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
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word_freq_cache = {}
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def calculate_word_frequency(file_path):
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# 如果文件路径已经在缓存中，直接返回缓存的结果
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if file_path in word_freq_cache:
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return word_freq_cache[file_path]
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# 计算词频
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words = extract_file_words(file_path)
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word_counts = Counter(words)
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# 将结果存储到缓存中
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word_freq_cache[file_path] = word_counts.most_common(10)
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return word_freq_cache[file_path]
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# 测试函数
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top_10_words = calculate_word_frequency(testfilepath)
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print_word_freqs(top_10_words)
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'''
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Python 提供了一个缓存调用函数的装饰器
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import functools
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# 使用 functools.lru_cache 缓存结果
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@functools.lru_cache(maxsize=None)
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def calculate_word_frequency(file_path):
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...
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retrun result
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''' |