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46 lines
1.1 KiB
46 lines
1.1 KiB
# -*- coding: utf-8 -*-
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import multiprocessing
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from collections import Counter
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from cppy.cp_util import *
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#
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# 多进程: 因为创建进程相比计算过程开销太大，结果最慢
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#
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stop_words = get_stopwords()
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def process_chunk(chunk):
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# 过滤停用词
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words = [ w for w in chunk if ( not w in stop_words ) and len(w) >= 3 ]
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return Counter(words)
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def merge_counts(counts_list):
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# 合并多个Counter对象
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total_counts = Counter()
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for counts in counts_list:
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total_counts += counts
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return total_counts
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@timing_decorator
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def main():
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# 读取文件内容，分割文件内容为多个块，每个块由一个进程处理
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chunks = get_chunks(testfilepath,1000)
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# 使用多进程处理每个块
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pool = multiprocessing.Pool(processes=multiprocessing.cpu_count())
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counts_list = pool.map(process_chunk, chunks)
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pool.close()
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pool.join()
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# 合并计数
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total_counts = merge_counts(counts_list)
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# 输出最高频的n个词
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print_word_freqs(total_counts.most_common(10))
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if __name__ == '__main__':
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main()
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