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57 lines
1.2 KiB
57 lines
1.2 KiB
9 months ago
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# -*- coding: utf-8 -*-
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from collections import Counter
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from cppy.cp_util import *
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from multiprocessing.pool import ThreadPool
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#
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# 多线程
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#
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def process_chunk(chunk):
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# 过滤停用词
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stop_words = get_stopwords()
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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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def thread_function(chunk, counts_list):
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word_count = process_chunk(chunk)
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counts_list.append(word_count)
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@timing_decorator
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def main():
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# 读取文件内容
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content = re_split(read_file(testfilepath))
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chunk_size = 1000 # 可以根据实际情况调整块大小
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chunks = [content[i:i + chunk_size] for i in range(0, len(content), chunk_size)]
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# 使用多线程池,每个线程处理一个块
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pool = ThreadPool(len(content)//chunk_size+1)
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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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