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9 months ago
# -*- coding: utf-8 -*-
import multiprocessing
from collections import Counter
from cppy.cp_util import *
#
# 多进程
#
def process_chunk(chunk):
# 过滤停用词
stop_words = get_stopwords()
words = [ w for w in chunk if ( not w in stop_words ) and len(w) >= 3 ]
return Counter(words)
def merge_counts(counts_list):
# 合并多个Counter对象
total_counts = Counter()
for counts in counts_list:
total_counts += counts
return total_counts
@timing_decorator
def main():
# 读取文件内容
content = re_split(read_file(testfilepath))
# 分割文件内容为多个块,每个块由一个进程处理
chunk_size = 1000 # 可以根据实际情况调整块大小
chunks = [content[i:i + chunk_size] for i in range(0, len(content), chunk_size)]
# 使用多进程处理每个块
pool = multiprocessing.Pool(processes=multiprocessing.cpu_count())
counts_list = pool.map(process_chunk, chunks)
pool.close()
pool.join()
# 合并计数
total_counts = merge_counts(counts_list)
# 输出最高频的n个词
print_word_freqs(total_counts.most_common(10))
if __name__ == '__main__':
main()